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<v Speaker 1>Oh bed thatsar. Hello and welcome to the show. This

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<v Speaker 1>is the Cult of Conspiracy and I am the Cajun Night,

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<v Speaker 1>I'm raven Ly, and today we are going to be

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<v Speaker 1>talking a little bit about finance, a little bit about

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<v Speaker 1>some math, a little bit about some the background and

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<v Speaker 1>the evils behind the credit score, my favorite subject ever. Yeah, yeah,

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<v Speaker 1>I know that this might sound a little dry on

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<v Speaker 1>the onset to all the good cult members, but I'm

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<v Speaker 1>just gonna be honest with you. I didn't know much

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<v Speaker 1>about credit scores.

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<v Speaker 2>I still I've heard all sorts of wild shit about

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<v Speaker 2>credit scores.

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<v Speaker 3>I've heard that the really rich people tell you not

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<v Speaker 3>to have any credit score, that they just pay for

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<v Speaker 3>everything in cash, and like, fuck the credit score, it

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<v Speaker 3>doesn't matter. I've heard, you know, make sure, for obviously,

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<v Speaker 3>from when I was a kid, make sure your credit

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<v Speaker 3>score is like in the seven eight hundreds, which I

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<v Speaker 3>did have almost eight hundred at one point in life.

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<v Speaker 1>Be life in so two divorces royally fucked my credit score.

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<v Speaker 1>At one point in time, I was like a low seven.

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<v Speaker 1>I felt good about myself. Divorce happened, it dropped down

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<v Speaker 1>to the mid threes, and then you know, I built

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<v Speaker 1>it back up to about the high sixes at one

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<v Speaker 1>point in time, and then I haven't looked, and to

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<v Speaker 1>be completely honest with you, I'm afraid to look right now.

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<v Speaker 1>And that's fine. Here's the deal. Like you're saying here,

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<v Speaker 1>the rich people don't have credit scores because they buy

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<v Speaker 1>things cash. I'm sure there is some sort of a

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<v Speaker 1>credit score associated with their name, but they're not worried

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<v Speaker 1>about what their score looks like to get approved for

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<v Speaker 1>a loan, because, if anything, they'll just use one of

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<v Speaker 1>their assets as collateral for a loan if they want it.

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<v Speaker 1>And to be honest with you, the ultra elites, that's

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<v Speaker 1>all they ever do. They don't actually have. You know,

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<v Speaker 1>I saw something recently how California is trying to tax

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<v Speaker 1>the wealthiest one percent of like ten percent of their

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<v Speaker 1>of their assets right off the rip, like they have

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<v Speaker 1>to cut a check. And that's why Elon and a

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<v Speaker 1>bunch of other rich people left California because let's say

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<v Speaker 1>he's worth one hundred billion, just throwing out a number here,

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<v Speaker 1>they act as if he has a billion dollars in

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<v Speaker 1>the bank ready to go. That's not how that goes.

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<v Speaker 1>It's tied up in assets. It's tied up in percentage

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<v Speaker 1>of ownerships of stocks, all shores, accounts, things like this.

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<v Speaker 1>And then the other side of that is if just

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<v Speaker 1>throwing out that are arbitrary number for the arbitrary guy here.

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<v Speaker 1>I know Elon's not worth a hundred billion to hear

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<v Speaker 1>me up. If he was to sell percentage of ownership

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<v Speaker 1>in Tesla to make that payment, that tanks the stock,

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<v Speaker 1>which makes all of his other assets drops, which makes

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<v Speaker 1>the amount that he's worth drops. It's psychoticness that what

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<v Speaker 1>they're trying to do in California. But neither here nor

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<v Speaker 1>there right.

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<v Speaker 2>So does the credit score actually matter for people like

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<v Speaker 2>you and I?

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<v Speaker 1>Yes, for people like the wealthy elite, that's not even

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<v Speaker 1>the thing they really consider. That's like, what's the gas

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<v Speaker 1>prices right now? They don't give a fuck they have drivers.

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<v Speaker 1>I mean, but I've heard like in between people, a

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<v Speaker 1>lot of people are like, fuck, credit score, like doesn't

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<v Speaker 1>even matter. I'm like, I really feel like it does matter, though.

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<v Speaker 1>But it's one of those scenes that they don't really

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<v Speaker 1>teach you though, unless your parents teach you. They don't

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<v Speaker 1>teach you in high school, which I think that is

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<v Speaker 1>absolutely ridiculous. They should teach children about finance's credit cards, taxes. Hell,

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<v Speaker 1>I am ridiculously dumb when it comes to taxes. My

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<v Speaker 1>mom is the brilliant one.

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<v Speaker 2>And it's like, okay, why did nobody even get like

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<v Speaker 2>a basic course on this? Right?

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<v Speaker 1>And so today we are going to do a little

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<v Speaker 1>bit of a deep dive into that course and talk

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<v Speaker 1>about how the system is rigged against you through no

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<v Speaker 1>fault of your own. Here's the deal, here's the background

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<v Speaker 1>to this ravenly debt has been a thing since the

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<v Speaker 1>beginning of time. Right, Obviously that's nothing new. But if

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<v Speaker 1>you had to guess where did credit scores come from?

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<v Speaker 2>Ooh, didn't it come from?

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<v Speaker 3>Potentially the crash the almost crash in the market, like

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<v Speaker 3>way way back in the day. I'd say in the

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<v Speaker 3>early nineteen hundreds, or actually I think it was the

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<v Speaker 3>eighteen hundreds, right, they kind of like decided on it

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<v Speaker 3>and then they pushed it forward.

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<v Speaker 2>In the nineteen hundreds. I might be speaking out my ass.

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<v Speaker 1>No, No, to be honest with you, I would have

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<v Speaker 1>given just about that kind of an answer before I

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<v Speaker 1>did some research on this.

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<v Speaker 3>Prepare this is like sixteen hundred's with the Kings and

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<v Speaker 3>this is like a debt score, credit score situation.

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<v Speaker 1>Raven Ravenlee and all the good cult members. If you

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<v Speaker 1>do not know, no, oh my god, no, all right,

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<v Speaker 1>do I promise the window. I had no idea where

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<v Speaker 1>this came from, and now that I know this, I'm

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<v Speaker 1>actually pretty fucking pissed off about it. I'm gonna be honest,

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<v Speaker 1>I'm a little hot right now.

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<v Speaker 2>If this is something like that just came about in

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<v Speaker 2>the last like fifty years, I gonna be livid.

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<v Speaker 1>Oh oh, it's so funny that you would use that

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<v Speaker 1>specific number. But we're gonna get to it, so all right, Okay.

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<v Speaker 1>Background to this, In the mid nineteen fifties, two dudes

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<v Speaker 1>named Isaac and Fair decided to start the Fair and

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<v Speaker 1>Isaac Company Fico Fight. Oh they are the ones that

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<v Speaker 1>decided on an arbitrary number to try to make banking

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<v Speaker 1>and loan approval more streamlined, right, because think about how

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<v Speaker 1>people had to get loans throughout the course of the

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<v Speaker 1>vast majority of human history. It was always about going

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<v Speaker 1>to a loan officer, a wealthy financier, or whatever the

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<v Speaker 1>case was. But aside, let's just talk about the United States, Okay,

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<v Speaker 1>let's talk about in just the United States of America

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<v Speaker 1>nineteen forties. You are a family and you want to

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<v Speaker 1>get approofd for a loan for some land, a new house,

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<v Speaker 1>a business venture, whatever the case would be. You would

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<v Speaker 1>go to your local bank or even if it was

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<v Speaker 1>a credit union, a national, what doesn't matter. You're going

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<v Speaker 1>to the loan house essentially, and you would have to

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<v Speaker 1>dress nice. You would have to show all this documentation

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<v Speaker 1>to make it worth the bank's time to really approve

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<v Speaker 1>you of this loan. But it only came down realistically

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<v Speaker 1>to the loan officer to give you the thumbs up

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<v Speaker 1>her thumbs down. Now, there were some pros and cons

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<v Speaker 1>that came with that right. For instance, the loan officer

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<v Speaker 1>who says, well, okay, this person has never been approved

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<v Speaker 1>of a loan before, but I went to high school

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<v Speaker 1>with his daddy, and I know the people. I know

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<v Speaker 1>his family and where he comes from, and I know

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<v Speaker 1>that he was taught how to handle his finances properly.

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<v Speaker 1>You know what, This might be a large loan, but

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<v Speaker 1>I know his people. I'm gonna go ahead and prove

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<v Speaker 1>this advertly. Let's say that it was a black family

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<v Speaker 1>and we're talking about the nineteen fifties, they're probably gonna

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<v Speaker 1>get denied outright. Oh and how about women, right, did

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<v Speaker 1>you know that it was illegal for women to get

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<v Speaker 1>large loans without their husbands up until the seventies. Yeah,

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<v Speaker 1>I'm not shocked.

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<v Speaker 2>I'm not surprised, to be honest with you.

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<v Speaker 1>Well, when I say that, that sounds a bit misleading.

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<v Speaker 1>It was state to state, but more often than not, yes,

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<v Speaker 1>you're not gonna have some woman try to do to

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<v Speaker 1>guess with states. Honestly, most of New England and most

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<v Speaker 1>of the West coast, New.

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<v Speaker 2>New England, Oregon, all places.

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<v Speaker 1>Oregon, Yeah, most of the West coast. You gotta keep

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<v Speaker 1>in mind, like California was not liberal up until like

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<v Speaker 1>the eighties.

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<v Speaker 2>I was honestly thinking like Midwest. For some reason in

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<v Speaker 2>my mind, I was like Midwestern kind of situation.

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<v Speaker 1>Most country are most countries, most counties, and those states

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<v Speaker 1>had pretty strict laws on that because they didn't want

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<v Speaker 1>women walking out on their husbands or doing these types

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<v Speaker 1>of things. Because keep in mind, most women didn't work

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<v Speaker 1>up until like I mean, yeah, we had the Industrial

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<v Speaker 1>Revolution and then World War Two. A lot of women

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<v Speaker 1>went to the factories, but you didn't have a lot

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<v Speaker 1>of women clocking in to have full time jobs until

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<v Speaker 1>the fifties and sixties more often than not, and then

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<v Speaker 1>the seventies is when that really became full swing. Women

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<v Speaker 1>empowerment was the shit. So up until that point, if

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<v Speaker 1>a woman was to take a large loan, her husband

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<v Speaker 1>would be on the hook for her loans. So it

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<v Speaker 1>was seen as a way to protect this guy's interest

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<v Speaker 1>because let's say he has a wife who's a shopaholic.

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<v Speaker 1>He's over here working some nine to five job, making

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<v Speaker 1>his payments, all the things, but then his wife takes

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<v Speaker 1>out a ten thousand dollars loan beknownst to him, with

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<v Speaker 1>no way of paying it back. Now he gets a

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<v Speaker 1>knock on the door asking where the money's at, and

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<v Speaker 1>he knew nothing about it. So, and I'm not saying

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<v Speaker 1>that this is justification, because a lot of times these

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<v Speaker 1>women were looking for loans to try to better themselves,

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<v Speaker 1>better than face whatever the case was. Especially when it

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<v Speaker 1>comes to racial discrimination. You would have a black family

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<v Speaker 1>that moved to a new town. Maybe they moved from

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<v Speaker 1>the Southern States and they moved up north, and they're

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<v Speaker 1>just trying to, you know, break out and start their

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<v Speaker 1>own thing, put down roots up North. But the problem

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<v Speaker 1>is with no loan history, they are left at the

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<v Speaker 1>behest of whatever the loan officer feels about them. And

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<v Speaker 1>it was basically it was basically vibes based like that

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<v Speaker 1>was it if you get a good feel for this person,

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<v Speaker 1>or if you don't, and if maybe you have some

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<v Speaker 1>racial ideologies to it or some sexist ideologies to it

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<v Speaker 1>or whatever. It really came down to the loan officer.

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<v Speaker 1>So the credit score was invented as a way to

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<v Speaker 1>try to standardize these things. But here's the problem. They

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<v Speaker 1>used all of the old data to make their algorithm.

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<v Speaker 1>So whenever the credit score was started by fair in ISAAC,

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<v Speaker 1>essentially they were using all of the data that said, well,

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<v Speaker 1>I don't know if we can trust a woman for

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<v Speaker 1>this type of loan. Oh wait a minute, that black

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<v Speaker 1>family from Alabama, I don't know about all that. And

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<v Speaker 1>it wasn't even a person that was approving this. It

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<v Speaker 1>was an arbitrary number that the banks could use as

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<v Speaker 1>a shield to say, hey, wait a minute, we didn't

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<v Speaker 1>deny the loan. This arbitrary number said that it'd be

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<v Speaker 1>too risky for our bank to give the loan.

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<v Speaker 3>So where do they get the information from, like what

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<v Speaker 3>data did they pull because there wasn't really a lot

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<v Speaker 3>of data collection happening prior to nineteen fifty.

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<v Speaker 1>Oh, Raven, I'm so glad you asked this question. And

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<v Speaker 1>then the best part, what are they doing with that

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<v Speaker 1>data now? Because they're just selling it to insurance company? Yeah,

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<v Speaker 1>we're gonna get to it. We're gonna get to it.

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<v Speaker 1>All good cult members. And you know what, I got

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<v Speaker 1>some articles to share. I got a video we're gonna

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<v Speaker 1>play at the end. That kind of brings it all

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<v Speaker 1>to a head.

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<v Speaker 2>Here.

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<v Speaker 1>If you would like to see what we are talking about,

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<v Speaker 1>see our faces, see the articles and the videos and

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<v Speaker 1>all the things, then what you needed to do is

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<v Speaker 1>go to Patreon dot com slash Cult Conspiracy Podcast. That

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<v Speaker 1>link is down in the show's below. It is the

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<v Speaker 1>only place to get these shows. Well, I might as

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<v Speaker 1>well just give it now. That is the only place

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<v Speaker 1>to get these shows absolutely. But also you will get

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<v Speaker 1>to see the articles, you get to see the videos,

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<v Speaker 1>and you'll get these shows a couple of days in advance,

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<v Speaker 1>if not up to a week in advance sometimes, But

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<v Speaker 1>that is only for the lowest tier. If you go

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<v Speaker 1>to that third eye all the way Open tier. You'll

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<v Speaker 1>also get to join us every Tuesday night for our

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<v Speaker 1>Cult Member Live That is Tuesday nights at nine pm

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<v Speaker 1>Central Time. It is a fun time. It's unhinged. I

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<v Speaker 1>feel like last night we spent way too much time

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<v Speaker 1>talking about the most disturbing things. But you know, that's

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<v Speaker 1>what the Tuesdays are for.

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<v Speaker 2>I'm just not gonna talk about it.

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<v Speaker 1>It's there, it's there if the Cult members, it's out

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<v Speaker 1>on the ether, so you know it's out that whole thing. Also,

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<v Speaker 1>if you go to that Maniac tier, you will not

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<v Speaker 1>only get all these exclusive offers, but you will also

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<v Speaker 1>be getting exclusive merchandise opportunities and a care package sent

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<v Speaker 1>to you packaged by our wonderful Raven Lee. But also

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<v Speaker 1>we have some well what's going on on the Patreon

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<v Speaker 1>that raven Lee is spearheading. Go ahead and tell them

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<v Speaker 1>about it, raven It is our book club.

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<v Speaker 3>You can join our book club every Sunday night. We're

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<v Speaker 3>going to go between one to two hours where we

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<v Speaker 3>discuss a book of choice. We're going to take an

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<v Speaker 3>entire month to read a book. We have a whole bowl,

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<v Speaker 3>it's really fancy with my top aware bowl that we

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<v Speaker 3>pick from and We're just going to read it and

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<v Speaker 3>break it down and have discussions about what do we

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<v Speaker 3>think what kind of topics. Right now, we are going

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<v Speaker 3>to start reading How Jesus Became God. No, it is

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<v Speaker 3>not a Christian echo chamber. This is actually a book

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<v Speaker 3>that was given to us by our resident Jew, and

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<v Speaker 3>it is a book about You said it.

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<v Speaker 2>Was heretical, Oh, heretical.

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<v Speaker 3>Yeah, so I've read some of it a little bit,

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<v Speaker 3>like I've listened to it on because you can get

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<v Speaker 3>this book on audio and purchase it as well.

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<v Speaker 2>We are starting February first. Officially, you do have to

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<v Speaker 2>be a third All the Way Open member or a

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<v Speaker 2>Maniac member and uh yeah, come join us. It's going

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<v Speaker 2>to be great.

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<v Speaker 3>I think we have quite a few people already that

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<v Speaker 3>are signed up for it, so we're just gonna bullshit.

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<v Speaker 2>We are not going to release this, so it is

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<v Speaker 2>an exclusive thing for those.

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<v Speaker 1>Tiers absolutely, So without further ado, I'm going to go

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<v Speaker 1>ahead and share the screen at this time and we

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<v Speaker 1>are going to learn together good cult members about credit

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<v Speaker 1>credit scores, the banking industry, the financial system, and how,

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<v Speaker 1>through no fault of your own, you're being screwed because

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<v Speaker 1>of the demographic that you happen to fall into. Banks

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<v Speaker 1>do not approve loans based off of what you have

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<v Speaker 1>done in your credit history. They're doing it off of

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<v Speaker 1>what other people that look like you, that live in

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<v Speaker 1>your area, that make close amounts of money to you,

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<v Speaker 1>have done, and they're basing this off of that. What

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<v Speaker 1>Oh yes, oh yes, it has nothing to do with you.

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<v Speaker 1>It never has. For the record, let's say, and just

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<v Speaker 1>throwing this out.

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<v Speaker 3>You're seeing the demographic of those around you as like

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<v Speaker 3>a collective. So if you live in an area where

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<v Speaker 3>half the people are shit and don't know how to

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<v Speaker 3>manage money, suck.

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<v Speaker 1>It's what So here's the deal, bullshit. I'll give you

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<v Speaker 1>a great example of this. Let's say that you pay

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<v Speaker 1>your rent every month on the first of the month

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<v Speaker 1>without fail for twenty years. The credit bureau doesn't give

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<v Speaker 1>a fuck about that, because if your landlord never reported it,

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<v Speaker 1>what difference does it make to them?

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<v Speaker 3>Okay, so it's only taking the native stuff that gets reported, though,

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<v Speaker 3>and that's how it's lowering your credit score. It's not

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00:14:22.519 --> 00:14:24.919
<v Speaker 3>actually raising your credit score for when you're actually doing

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<v Speaker 3>the right thing.

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<v Speaker 1>Yes, and we are going to talk about what goes

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<v Speaker 1>into your credit score here in a bit. And although

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<v Speaker 1>there's tons of these websites that I have pulled up

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<v Speaker 1>that are all financial institutions and things like that, and

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<v Speaker 1>they're trying to make it sound like this is a

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<v Speaker 1>really good thing. I want everybody, as we're reading these

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<v Speaker 1>articles to look at it and think of it critically

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<v Speaker 1>and think about what the drawbacks of everything that's going

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<v Speaker 1>to be said actually is. So let's start off from

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<v Speaker 1>the beginning here. We're talking about how women were denied

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<v Speaker 1>loans a lot of times. So we're ethnic minority groups

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<v Speaker 1>and it varied place to place, and I understand that.

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<v Speaker 1>But okay, this article here from the Competitive Enterprise Institute.

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<v Speaker 1>It says, yes, when had access to credit before nineteen

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<v Speaker 1>seventy four, But I want you to hear what type

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<v Speaker 1>of credit they had access to before I even start raven.

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<v Speaker 1>If you had to guess what type of credit and

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<v Speaker 1>I don't mean a credit card, I mean like running

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<v Speaker 1>a tab so to.

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<v Speaker 2>Speak, what do you makeup?

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<v Speaker 3>Because it's been proven that even in wartimes, women will

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<v Speaker 3>make sure that they are able to at least buy

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<v Speaker 3>a lipstick. Okay, I just I would assume it had

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<v Speaker 3>to do with makeup. Or it would have to do

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<v Speaker 3>with the door to door salesman coming and by doing

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<v Speaker 3>the dishwasher. The refrigerator was a big thing that you

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00:15:37.320 --> 00:15:38.320
<v Speaker 3>got had to put on loan.

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<v Speaker 1>Sure, but they couldn't do that without their husband's signature.

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<v Speaker 2>Though that's fair.

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<v Speaker 1>Yeah, I can't think of maybe clothing, groceries.

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<v Speaker 2>Groceries.

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<v Speaker 1>Okay, So let's talk about it as much as this

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<v Speaker 1>article is saying, yes, women had access to credit, it's like,

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<v Speaker 1>but did they did they actually to the level that

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<v Speaker 1>we are talking about here, So let's break this down

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<v Speaker 1>here and again, we were talking about American history, and granted,

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<v Speaker 1>America's history is not all sunshine and rainbows. We have

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<v Speaker 1>had a very troubled and ugly and fucked up past,

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<v Speaker 1>but we have to acknowledge that pass to understand how

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<v Speaker 1>we got to where we're at now so that we

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<v Speaker 1>also can learn from it and teach the younger generation.

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<v Speaker 1>Because up until nineteen eighty nine, this wasn't a thing

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<v Speaker 1>that was used in loans.

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<v Speaker 2>Yeah, it was an eighty nine.

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<v Speaker 1>Credit scores were invented in the fifties, but they weren't

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<v Speaker 1>actually used until the nineteen seventies, and they didn't become

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<v Speaker 1>a national a nationwide standard. I was gonna say a

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00:16:35.799 --> 00:16:38.480
<v Speaker 1>national standard or a nationwide standard. I just combined words

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00:16:38.519 --> 00:16:40.720
<v Speaker 1>because that's what I'd be doing sometimes. But it didn't

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<v Speaker 1>become a national standardized metric until eighty nine.

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<v Speaker 2>Yeah, oh my god, it's thirty six years old. That's it.

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<v Speaker 1>Here we are, here, we are so now our entire world.

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<v Speaker 2>Is run off this bullshit elaborate random score and.

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<v Speaker 1>Made by two guys in the San Francisco apartment in

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<v Speaker 1>the nineteen fifties. And before you ask good cult members, no,

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<v Speaker 1>neither of them, I thought, so. No, neither of them

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<v Speaker 1>were Jewish.

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<v Speaker 2>That's not what I was thinking.

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00:17:10.720 --> 00:17:10.880
<v Speaker 4>I was.

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00:17:11.200 --> 00:17:13.079
<v Speaker 2>I thought you were gonna say neither of them were gay,

349
00:17:13.119 --> 00:17:16.319
<v Speaker 2>and I was like, oh maybe it was like I

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00:17:16.359 --> 00:17:17.559
<v Speaker 2>don't know why that matters.

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<v Speaker 1>Were like, okay, no, No, before you're thinking and we're

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<v Speaker 1>talking about the guys that invented credit scores for the

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00:17:21.680 --> 00:17:24.160
<v Speaker 1>banking and all this, my initial thought was, oh, here

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<v Speaker 1>we go as the Jews. No, actually, neither of them

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00:17:27.359 --> 00:17:32.599
<v Speaker 1>were Jewish by dissent or by religion. Shockingly, I honestly

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<v Speaker 1>no one was more shocked to find that out than me.

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<v Speaker 1>I'm gonna be honest. But anyway, let's get into it now.

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<v Speaker 1>Let's talk about some women, dude. So this was actually

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<v Speaker 1>written in March of twenty twenty five. So March is

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<v Speaker 1>Women's History Month, a time to acknowledge and celebrate many

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<v Speaker 1>firsts quote unquote for women in public life. One of

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<v Speaker 1>those first is the ability for American women to open

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<v Speaker 1>a credit card independently without a husband or father's co signatory,

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<v Speaker 1>following the passage of the Equal Credit Opportunity Act the

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<v Speaker 1>ECOA by congres in nineteen seventy four. We're gonna talk

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<v Speaker 1>more about that one in particular in a bit, but

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<v Speaker 1>here we go. This bill prohibited discrimination in credit transactions

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<v Speaker 1>based off of sex or marital status, and is generally

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<v Speaker 1>considered a landmark for women's financial independence. However, this is

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<v Speaker 1>only partly true. I will give at least the little addendum. Now,

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<v Speaker 1>the ECOA and the Fair Housing Market Act, and these

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<v Speaker 1>things are the reason, the only reason why credit scores

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<v Speaker 1>ever got implemented in the first place. Again, these were

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<v Speaker 1>now being used as a shield to protect the banks

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<v Speaker 1>to where I didn't my loan officer didn't deny the loan.

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<v Speaker 1>They had a low credit score. That's it. Was seen

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<v Speaker 1>as a non judgmental risk assessment, you know, data, and

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<v Speaker 1>it seemed like it was too much of a risk

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<v Speaker 1>for us to do. Say. Well again, we'll get to

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<v Speaker 1>that more in a bit, but the seventies is specifically

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<v Speaker 1>why it even got started. Implemented, the ECA made it

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<v Speaker 1>illegal for banks to discriminate based on sex or marital status.

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<v Speaker 1>The law didn't grant women access to credit, but rather

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00:19:04.720 --> 00:19:08.079
<v Speaker 1>formalize their ability to sue for discrimination. Much like women

385
00:19:08.160 --> 00:19:10.759
<v Speaker 1>had been voting in American election since the seventeen hundreds,

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<v Speaker 1>before the passage of the nineteenth Amendment to the Constitution,

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00:19:13.960 --> 00:19:17.240
<v Speaker 1>women had also been navigating loans, credit, and financial systems

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<v Speaker 1>long before the nineteen seventy four law. Okay, women could

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00:19:21.599 --> 00:19:26.000
<v Speaker 1>vote in this country, before women's suffrage became a national standard. However,

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00:19:26.799 --> 00:19:31.160
<v Speaker 1>the stipulations to who was allowed to vote realistically came

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00:19:31.240 --> 00:19:34.440
<v Speaker 1>down to money and land ownership. And if you there

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00:19:34.480 --> 00:19:38.240
<v Speaker 1>were women that, through inheritance or through their own grit whatever,

393
00:19:38.839 --> 00:19:42.880
<v Speaker 1>did own land and were able to vote. But y'all,

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00:19:42.880 --> 00:19:48.160
<v Speaker 1>I gotta understand, this was the vast, vast minority. Like

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00:19:48.359 --> 00:19:51.440
<v Speaker 1>overall hell, most women couldn't even read in this country.

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00:19:52.400 --> 00:19:55.559
<v Speaker 3>Well that and also if they were found out to

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00:19:55.640 --> 00:19:58.559
<v Speaker 3>be voting, it was a huge thing too because how

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00:19:58.680 --> 00:19:59.319
<v Speaker 3>dare she so?

399
00:20:00.000 --> 00:20:02.880
<v Speaker 1>But again that depended on the place. Like if you're

400
00:20:03.039 --> 00:20:06.119
<v Speaker 1>a woman who is a member of a very well

401
00:20:06.200 --> 00:20:09.039
<v Speaker 1>to do family, a very well known family from New

402
00:20:09.160 --> 00:20:11.960
<v Speaker 1>York or from Boston or whatever the case, and they

403
00:20:12.079 --> 00:20:15.599
<v Speaker 1>know that you specifically to your name, own fifty acres

404
00:20:15.640 --> 00:20:18.119
<v Speaker 1>of land, and they know all of your people, no

405
00:20:18.200 --> 00:20:20.799
<v Speaker 1>one's really gonna batten eye when you go in to

406
00:20:20.880 --> 00:20:23.079
<v Speaker 1>cast your vote. But it wasn't like somebody from rural

407
00:20:23.160 --> 00:20:26.359
<v Speaker 1>Kentucky was about to be bop up in here not

408
00:20:26.480 --> 00:20:28.799
<v Speaker 1>be able to read the ballot and just cast their vote.

409
00:20:28.839 --> 00:20:30.839
<v Speaker 1>The woman was gonna get shown the door. And so

410
00:20:30.960 --> 00:20:33.920
<v Speaker 1>it varied. But like I said this article, what happened.

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00:20:33.960 --> 00:20:37.000
<v Speaker 3>If what happened if the woman wasn't married and like

412
00:20:37.160 --> 00:20:38.920
<v Speaker 3>her father was dead, then it had to be like

413
00:20:39.000 --> 00:20:41.960
<v Speaker 3>the next of ken, like her brother or her uncle.

414
00:20:42.240 --> 00:20:45.279
<v Speaker 1>Yeah, you would have to have some sort of a

415
00:20:46.200 --> 00:20:49.480
<v Speaker 1>male family co signer for pretty much any big financial

416
00:20:49.559 --> 00:20:52.799
<v Speaker 1>movie tried to make. And that was also a really

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00:20:52.960 --> 00:20:54.960
<v Speaker 1>dangerous thing for a lot of women too, And that's

418
00:20:55.000 --> 00:20:58.640
<v Speaker 1>why the old age was like, if you're single, by

419
00:20:58.759 --> 00:21:02.000
<v Speaker 1>twenty one, So you're gonna die alone. You're just gonna

420
00:21:02.000 --> 00:21:04.480
<v Speaker 1>be an old spinster lady. Basically, you what do you

421
00:21:04.559 --> 00:21:07.119
<v Speaker 1>mean you're not married with two kids by twenty Are

422
00:21:07.160 --> 00:21:10.839
<v Speaker 1>you crazy? That's you're on a time clock lady. Like

423
00:21:11.119 --> 00:21:14.680
<v Speaker 1>it was a crazy, crazy mindset that went. And for

424
00:21:14.799 --> 00:21:16.920
<v Speaker 1>the record, not just American culture, that was a lot

425
00:21:16.960 --> 00:21:20.759
<v Speaker 1>of European culture as well, but these women, especially if

426
00:21:20.799 --> 00:21:25.279
<v Speaker 1>they most women weren't accepted into job markets right and

427
00:21:25.440 --> 00:21:28.200
<v Speaker 1>there there were certain crafts and certain jobs they could hold.

428
00:21:28.640 --> 00:21:31.079
<v Speaker 1>They would get paid substantially less than their male counterparts

429
00:21:31.119 --> 00:21:32.960
<v Speaker 1>for probably doing the exact same word, And I don't

430
00:21:33.039 --> 00:21:37.920
<v Speaker 1>mean a few cents less, like it would be substantial realistically,

431
00:21:39.920 --> 00:21:42.519
<v Speaker 1>very much so, very much so. And so it seemed

432
00:21:43.079 --> 00:21:46.240
<v Speaker 1>like it was the better choice for a woman, a

433
00:21:46.359 --> 00:21:49.720
<v Speaker 1>young woman to marry somebody and if she does earn

434
00:21:49.759 --> 00:21:51.400
<v Speaker 1>a paycheck and all these things in fine, or she

435
00:21:51.440 --> 00:21:52.920
<v Speaker 1>could be a stay at home on whatever the case

436
00:21:52.920 --> 00:21:57.160
<v Speaker 1>would be. But it was seen even within themselves as like, Okay,

437
00:21:57.240 --> 00:21:59.240
<v Speaker 1>it's a way better option for me to marry a

438
00:21:59.319 --> 00:22:02.480
<v Speaker 1>guy and deal with some shit then have to work

439
00:22:02.559 --> 00:22:04.640
<v Speaker 1>for pennies on the dollar and hope that I can

440
00:22:04.680 --> 00:22:06.559
<v Speaker 1>afford to feed myself for the rest of my life.

441
00:22:06.880 --> 00:22:09.240
<v Speaker 1>So it was the system was rigged in that way.

442
00:22:09.960 --> 00:22:10.160
<v Speaker 2>It was.

443
00:22:10.319 --> 00:22:10.960
<v Speaker 1>It was a mess.

444
00:22:11.079 --> 00:22:13.720
<v Speaker 2>But anyway, So valu value in vodka, men.

445
00:22:14.440 --> 00:22:17.599
<v Speaker 1>Valume in vodka? You mean laudnum and whiskey. Man to

446
00:22:17.680 --> 00:22:19.160
<v Speaker 1>what level? I'm talking the Old West?

447
00:22:19.960 --> 00:22:21.559
<v Speaker 2>I know. I was just saying a lot of women

448
00:22:21.640 --> 00:22:23.079
<v Speaker 2>were take that valume too.

449
00:22:23.319 --> 00:22:26.759
<v Speaker 1>So yeah, when volume became a thing that was inqual too.

450
00:22:26.880 --> 00:22:29.920
<v Speaker 2>Valume and vodka, yep, that was the whole vibe. Just say,

451
00:22:29.960 --> 00:22:31.160
<v Speaker 2>you know, get through the day.

452
00:22:31.960 --> 00:22:35.720
<v Speaker 1>I guess I'm But anyway, I just so were clear.

453
00:22:36.000 --> 00:22:40.200
<v Speaker 1>The article made that sound a little misleading. Women were

454
00:22:40.240 --> 00:22:43.559
<v Speaker 1>not voting in the seventeen hundreds. A select few women

455
00:22:44.640 --> 00:22:48.160
<v Speaker 1>over the entirety of the states had that ability. But anyway,

456
00:22:48.200 --> 00:22:51.920
<v Speaker 1>moving on here. In the nineteenth century, both single and

457
00:22:52.279 --> 00:22:55.480
<v Speaker 1>married American women relied on local stores and small businesses

458
00:22:55.559 --> 00:22:59.279
<v Speaker 1>for credit. These businesses often granted credit based on personal

459
00:22:59.359 --> 00:23:02.640
<v Speaker 1>trust and reputation, allowing women to purchase necessary items even

460
00:23:02.720 --> 00:23:06.359
<v Speaker 1>without ready cash. A charge account at a general store, restaurant,

461
00:23:06.480 --> 00:23:08.640
<v Speaker 1>or similar establishment could be settled at the end of

462
00:23:08.640 --> 00:23:11.359
<v Speaker 1>the week or paid periodically, like in the TV show

463
00:23:11.480 --> 00:23:14.000
<v Speaker 1>cheers a place where everybody knows your name, it's hard

464
00:23:14.079 --> 00:23:16.039
<v Speaker 1>to skip out on a bill and easier for a

465
00:23:16.079 --> 00:23:19.480
<v Speaker 1>business to give grace to customers who needed this. Non

466
00:23:19.640 --> 00:23:24.240
<v Speaker 1>mandated localized credit access was part per particularly Jesus, particularly

467
00:23:24.319 --> 00:23:27.079
<v Speaker 1>important to women. So that's what I mean. If you

468
00:23:27.240 --> 00:23:30.119
<v Speaker 1>had miss Smith, and you know, Miss Smith is gonna

469
00:23:30.119 --> 00:23:32.640
<v Speaker 1>come in and she's getting groceries for her family, and

470
00:23:32.720 --> 00:23:35.640
<v Speaker 1>her husband gets paid twice a month, right but she

471
00:23:35.759 --> 00:23:38.920
<v Speaker 1>needs those groceries right now, the clerk at the store

472
00:23:39.000 --> 00:23:40.799
<v Speaker 1>would give her a little bit of leeway and give

473
00:23:40.839 --> 00:23:42.920
<v Speaker 1>her some credit. But that's also miss Smith, you know

474
00:23:42.960 --> 00:23:45.839
<v Speaker 1>what I mean, Like your kids probably played t ball together,

475
00:23:46.039 --> 00:23:47.920
<v Speaker 1>Like it's you know who she is, and you know

476
00:23:48.039 --> 00:23:50.079
<v Speaker 1>she's good for it, so you would have some leniency.

477
00:23:50.160 --> 00:23:53.519
<v Speaker 1>But it was very locally based. It wasn't to a

478
00:23:53.680 --> 00:23:54.920
<v Speaker 1>national credit because.

479
00:23:54.720 --> 00:23:58.559
<v Speaker 3>There's no paper trail, so there's no actual quote unquote

480
00:23:58.599 --> 00:24:01.720
<v Speaker 3>credit score. Have word of mouth through people. That doesn't

481
00:24:01.720 --> 00:24:04.279
<v Speaker 3>really matter to the banks because even if you're trying

482
00:24:04.279 --> 00:24:07.160
<v Speaker 3>to get a loan, you have nothing to show for

483
00:24:07.400 --> 00:24:08.400
<v Speaker 3>that you actually are.

484
00:24:08.400 --> 00:24:12.359
<v Speaker 2>Worth a lick or your words, so exactly, and it's

485
00:24:12.480 --> 00:24:16.680
<v Speaker 2>a whole system just to you know, that's essentially it.

486
00:24:16.880 --> 00:24:22.359
<v Speaker 1>And so when fair and ISAAC founded Fiico and they

487
00:24:22.480 --> 00:24:27.000
<v Speaker 1>started making these arbitrary credit scores, they were using data

488
00:24:27.839 --> 00:24:30.160
<v Speaker 1>from the past few decades. And here's the problem, like

489
00:24:30.279 --> 00:24:33.599
<v Speaker 1>you just said, if there's no data on women, or

490
00:24:33.680 --> 00:24:37.440
<v Speaker 1>on minority groups, or on this bump fuck nowhere town,

491
00:24:38.039 --> 00:24:41.119
<v Speaker 1>then how are you going to compare anything against anything. So,

492
00:24:41.880 --> 00:24:44.839
<v Speaker 1>believe it or not, the credit score actually ended up

493
00:24:44.880 --> 00:24:48.160
<v Speaker 1>screwing more people over especially in the beginning, than it

494
00:24:48.240 --> 00:24:50.359
<v Speaker 1>did help them. And then these people had to start

495
00:24:50.599 --> 00:24:52.680
<v Speaker 1>establishing credit. And we're going to get more into what

496
00:24:52.839 --> 00:24:55.559
<v Speaker 1>you have to do to establish credit. They don't want

497
00:24:55.599 --> 00:24:58.559
<v Speaker 1>you to pay off your debts. That's another thing too.

498
00:24:58.599 --> 00:25:00.240
<v Speaker 1>If you were to go right now and pay off

499
00:25:00.319 --> 00:25:02.039
<v Speaker 1>every single one of your credit cards, pay off your

500
00:25:02.079 --> 00:25:04.319
<v Speaker 1>car note, pay off your mortgage, and they look at

501
00:25:04.359 --> 00:25:07.000
<v Speaker 1>your debt to income ratio, right and you're thinking that's

502
00:25:07.000 --> 00:25:09.839
<v Speaker 1>an important factor. No, you just fucked yourself.

503
00:25:10.319 --> 00:25:14.119
<v Speaker 3>They want you to have that generating Yes, you have

504
00:25:14.200 --> 00:25:16.319
<v Speaker 3>to establish your payments, you have to be able to

505
00:25:16.440 --> 00:25:19.759
<v Speaker 3>show that your trustworthy to pay your payments on time.

506
00:25:19.839 --> 00:25:21.000
<v Speaker 2>But you don't want to pay the minimum.

507
00:25:21.240 --> 00:25:22.880
<v Speaker 3>You want to pay a little bit above the minimum,

508
00:25:23.160 --> 00:25:25.119
<v Speaker 3>So that way you can pay a little bit of

509
00:25:25.200 --> 00:25:26.960
<v Speaker 3>the interests but not all the interests.

510
00:25:27.000 --> 00:25:29.799
<v Speaker 2>And it's a whole thing. But that's how the market

511
00:25:30.039 --> 00:25:33.720
<v Speaker 2>for the doorder door salesman came about as well, So

512
00:25:33.839 --> 00:25:36.039
<v Speaker 2>it all was tied in conjunction to each other.

513
00:25:36.319 --> 00:25:39.599
<v Speaker 3>Plus the consumerism model. I'm wondering if they had a

514
00:25:39.720 --> 00:25:44.119
<v Speaker 3>hand with the consumerism situation. So that way, hey, this

515
00:25:44.319 --> 00:25:47.559
<v Speaker 3>allowed you to take this line of credit to be

516
00:25:47.640 --> 00:25:49.720
<v Speaker 3>able to buy these fancy things. Plus they had the

517
00:25:49.799 --> 00:25:53.279
<v Speaker 3>television going where it was showing like, well, look if

518
00:25:53.359 --> 00:25:57.079
<v Speaker 3>you just had this really awesome you know, refrigerator has

519
00:25:57.119 --> 00:26:00.359
<v Speaker 3>all these compartments, you'd be such a better housewife. This

520
00:26:00.559 --> 00:26:02.920
<v Speaker 3>is what you need, or hey, this is what you

521
00:26:03.079 --> 00:26:05.759
<v Speaker 3>need to look more like a man. And then you

522
00:26:05.839 --> 00:26:08.119
<v Speaker 3>have people coming around and like, oh now this will

523
00:26:08.160 --> 00:26:10.839
<v Speaker 3>help boost your credit score. This will actually build it

524
00:26:10.960 --> 00:26:13.880
<v Speaker 3>for you. Yeah, it's quite intelligent design, I'll say that.

525
00:26:14.359 --> 00:26:17.880
<v Speaker 1>So that wasn't the intent when they made the credit score.

526
00:26:18.039 --> 00:26:20.640
<v Speaker 1>They were actually trying to streamline. And I'm not saying

527
00:26:20.680 --> 00:26:22.960
<v Speaker 1>that Fair and Isaac were like good dudes. I don't know,

528
00:26:23.440 --> 00:26:27.240
<v Speaker 1>I'm putting them into the neutral category. Honestly, they they

529
00:26:27.400 --> 00:26:29.559
<v Speaker 1>started this, they weren't bankers. One of them was a

530
00:26:29.640 --> 00:26:32.559
<v Speaker 1>mathematician and one of them was an engineer, right, and

531
00:26:32.680 --> 00:26:36.160
<v Speaker 1>they were trying to hedge their bets on human behavior

532
00:26:36.799 --> 00:26:40.920
<v Speaker 1>and putting a number designation on a certain group of people.

533
00:26:40.960 --> 00:26:43.279
<v Speaker 1>And I don't mean all white people all black people.

534
00:26:43.799 --> 00:26:46.480
<v Speaker 1>That's not what I'm saying here. It's more like, Okay,

535
00:26:47.640 --> 00:26:54.440
<v Speaker 1>a white guy from Jackson, Mississippi, who earns X amount

536
00:26:54.480 --> 00:26:58.920
<v Speaker 1>of dollars every year. People like that. There's let's say

537
00:26:58.960 --> 00:27:02.400
<v Speaker 1>there's two thousand of this particular type that's living in Jackson,

538
00:27:02.400 --> 00:27:05.759
<v Speaker 1>Mississippi at this time. How many of them defaulted on

539
00:27:05.920 --> 00:27:08.440
<v Speaker 1>their payments last year? How many of them their houses

540
00:27:08.480 --> 00:27:11.400
<v Speaker 1>went into foreclosure and things like this? Okay, pretty much

541
00:27:11.440 --> 00:27:13.000
<v Speaker 1>all of them made their payments on time. There were

542
00:27:13.039 --> 00:27:16.000
<v Speaker 1>some ones intoosies, but overall they did. None of them

543
00:27:16.079 --> 00:27:18.200
<v Speaker 1>foreclosed on their homes. How some of them even bought

544
00:27:18.240 --> 00:27:22.200
<v Speaker 1>bigger homes. Okay, that group needs a higher credit score.

545
00:27:23.400 --> 00:27:25.880
<v Speaker 1>That's essentially what it was. And so I don't think

546
00:27:25.920 --> 00:27:28.039
<v Speaker 1>that they were doing it to fuck over anybody, at

547
00:27:28.119 --> 00:27:31.279
<v Speaker 1>least on the onset. But later on it became that

548
00:27:31.880 --> 00:27:35.200
<v Speaker 1>because the credit scores that they designed or at least

549
00:27:35.359 --> 00:27:38.880
<v Speaker 1>how it was intended was to give basically a streamlining

550
00:27:38.960 --> 00:27:42.480
<v Speaker 1>to bank officers and banks in general approving or denying loans.

551
00:27:43.160 --> 00:27:49.000
<v Speaker 1>It wasn't trying to make the consumer market get interest

552
00:27:49.119 --> 00:27:53.680
<v Speaker 1>generating in therefore profit generating debt. At least that's not

553
00:27:53.839 --> 00:27:54.599
<v Speaker 1>what it seemed.

554
00:27:55.160 --> 00:27:57.200
<v Speaker 3>But maybe that's not what it intended. But when the

555
00:27:57.440 --> 00:28:01.640
<v Speaker 3>consumerism models and those people came about and saw this happening,

556
00:28:02.119 --> 00:28:05.279
<v Speaker 3>how did they introduce us though into the banks? That's

557
00:28:05.279 --> 00:28:07.519
<v Speaker 3>what I'm wondering. How did this even get picked up?

558
00:28:07.640 --> 00:28:11.599
<v Speaker 3>Because people have ideas every day, but nothing come You're

559
00:28:11.599 --> 00:28:15.720
<v Speaker 3>talking about changing the entire course of American history and

560
00:28:15.880 --> 00:28:17.160
<v Speaker 3>changing how we do everything.

561
00:28:17.519 --> 00:28:20.079
<v Speaker 2>Yeah, so, how the hell did you even come about?

562
00:28:20.359 --> 00:28:21.319
<v Speaker 2>I don't understand you.

563
00:28:21.359 --> 00:28:25.559
<v Speaker 1>Ever heard of Equifax TransUnion? Yes, yeah, we're gonna be

564
00:28:25.599 --> 00:28:27.440
<v Speaker 1>talking about those in a bit, because that's pretty much

565
00:28:27.440 --> 00:28:31.640
<v Speaker 1>where it took its turn. And this was in the eighties. Yeah, okay,

566
00:28:32.160 --> 00:28:35.039
<v Speaker 1>So anyway, prior to the nineteen seventies, marriage too often

567
00:28:35.119 --> 00:28:38.720
<v Speaker 1>dictated the terms by which women accessed credit, since married

568
00:28:38.759 --> 00:28:42.119
<v Speaker 1>women's prosperity or property was also owned by their husband's

569
00:28:42.279 --> 00:28:46.400
<v Speaker 1>only unmarried women could independently form contracts and engage in litigation.

570
00:28:47.039 --> 00:28:49.079
<v Speaker 1>That's the author of to Her Credit Rights. In her

571
00:28:49.119 --> 00:28:52.319
<v Speaker 1>book examining finances of women during the America's eighteenth century

572
00:28:52.359 --> 00:28:56.039
<v Speaker 1>revolutionary period, she found that quote women in Boston and

573
00:28:56.160 --> 00:28:59.680
<v Speaker 1>Newport appeared in debt litigation as creditors and debtors in

574
00:29:00.319 --> 00:29:05.839
<v Speaker 1>equal proportions. However, quote women's credit networks were predominantly local

575
00:29:06.319 --> 00:29:10.279
<v Speaker 1>end Quote women routinely made purchases on credit, signed contracts,

576
00:29:10.319 --> 00:29:13.400
<v Speaker 1>participated in court cases, and settled debts. At that time,

577
00:29:13.680 --> 00:29:16.880
<v Speaker 1>married women also commonly extended lines of credit to their

578
00:29:17.000 --> 00:29:19.279
<v Speaker 1>unmarried friends, which is true, but again they had to

579
00:29:19.319 --> 00:29:21.720
<v Speaker 1>have the funds on standby to do such, and there

580
00:29:21.799 --> 00:29:24.240
<v Speaker 1>wasn't many women that could qualify for that. But anyway,

581
00:29:25.319 --> 00:29:28.440
<v Speaker 1>a hallmark example of a revolutionary araw woman navigating the

582
00:29:28.519 --> 00:29:32.119
<v Speaker 1>financial system is Abigail Stoneman, a widow who open and

583
00:29:32.240 --> 00:29:35.079
<v Speaker 1>operated inns in t and tea shops in New England

584
00:29:35.119 --> 00:29:38.119
<v Speaker 1>in the seventeen hundreds. Also, if anybody's curious about her,

585
00:29:38.519 --> 00:29:42.839
<v Speaker 1>that is a fascinating woman to look into. This chick,

586
00:29:43.799 --> 00:29:46.319
<v Speaker 1>and she was a widow. She inherited these things because

587
00:29:46.359 --> 00:29:49.160
<v Speaker 1>her husband died. She picked up the ball and ran

588
00:29:49.279 --> 00:29:51.519
<v Speaker 1>with it, and if I'm not mistaken, she might be

589
00:29:51.640 --> 00:29:56.160
<v Speaker 1>the first millionaire on the US continent. Really I think so,

590
00:29:56.599 --> 00:29:59.359
<v Speaker 1>or at least the first female millionaire. But something no, actually,

591
00:29:59.400 --> 00:30:02.599
<v Speaker 1>excuse me. The her female millionaire was a black woman

592
00:30:03.039 --> 00:30:08.119
<v Speaker 1>who developed a makeup line specifically for black women. I

593
00:30:08.319 --> 00:30:09.720
<v Speaker 1>think this was in the nineteen twenties.

594
00:30:09.799 --> 00:30:12.119
<v Speaker 2>As a matter of fact, I know you're talking about.

595
00:30:12.160 --> 00:30:12.960
<v Speaker 2>I can see her face.

596
00:30:13.160 --> 00:30:14.720
<v Speaker 1>Same. She was riding in the back of a drop

597
00:30:14.799 --> 00:30:16.680
<v Speaker 1>top caddy like she was a pimp because she was

598
00:30:17.400 --> 00:30:20.799
<v Speaker 1>anyway moving on here. So she extended lines of credit

599
00:30:20.880 --> 00:30:23.720
<v Speaker 1>to other business owners and her own customers. In fact,

600
00:30:23.759 --> 00:30:26.279
<v Speaker 1>there were so many documented appeals in local newspapers by

601
00:30:26.359 --> 00:30:30.519
<v Speaker 1>creditors like Stoneman requesting repayment from debtors. So again, she

602
00:30:30.839 --> 00:30:34.359
<v Speaker 1>was the exception, not the standard. But credit access differed

603
00:30:34.359 --> 00:30:37.599
<v Speaker 1>from state to state. For example, in eighteen forty eight,

604
00:30:37.640 --> 00:30:40.359
<v Speaker 1>the Married Woman's Property Act passed in New York and

605
00:30:40.519 --> 00:30:43.079
<v Speaker 1>established that a woman was no longer liable for her

606
00:30:43.200 --> 00:30:47.640
<v Speaker 1>husband's debts, could enter contracts on her own, was able

607
00:30:47.720 --> 00:30:50.720
<v Speaker 1>to collect rent or receive an inheritance in her own right,

608
00:30:50.880 --> 00:30:53.359
<v Speaker 1>and could file a lawsuit on her own. Behalf the

609
00:30:53.440 --> 00:30:56.880
<v Speaker 1>act became a model for other states. So again, as

610
00:30:56.920 --> 00:30:59.160
<v Speaker 1>long as she was not liable for her husband's debts,

611
00:30:59.640 --> 00:31:01.519
<v Speaker 1>otherwise they would take it out of the estate and

612
00:31:01.599 --> 00:31:04.039
<v Speaker 1>she would become a poor widower, which you know anyway,

613
00:31:04.640 --> 00:31:07.200
<v Speaker 1>So the rise of the department stores and catalogs. By

614
00:31:07.200 --> 00:31:10.119
<v Speaker 1>the late nineteenth and early twentieth centuries came the emergence

615
00:31:10.160 --> 00:31:13.319
<v Speaker 1>of department stores and mail order clothing catalogs like you

616
00:31:13.359 --> 00:31:16.640
<v Speaker 1>had mentioned, raven Larger businesses were able to offer more

617
00:31:16.720 --> 00:31:20.680
<v Speaker 1>formalized credit options catering to women's shopping experiences. The quote

618
00:31:20.720 --> 00:31:24.640
<v Speaker 1>unquote charge plate, akin to a in store card, was

619
00:31:24.720 --> 00:31:27.680
<v Speaker 1>somewhat of a predecessor to modern credit cards. Although single

620
00:31:27.720 --> 00:31:30.400
<v Speaker 1>women faced more challenges in securing credit, they could still

621
00:31:30.400 --> 00:31:33.559
<v Speaker 1>apply and receive credit by providing proof of financial stability.

622
00:31:33.960 --> 00:31:37.039
<v Speaker 1>Over time, these store accounts, costly to maintain and collect on,

623
00:31:37.480 --> 00:31:40.240
<v Speaker 1>gave way to portable credit cards managed by banks that

624
00:31:40.319 --> 00:31:44.279
<v Speaker 1>could be used at other stores. So now, leading up

625
00:31:44.359 --> 00:31:48.240
<v Speaker 1>to the ECOA, in the early nineteen seventies, women's organizations

626
00:31:48.319 --> 00:31:52.200
<v Speaker 1>gathered testimony from women nationwide describing their hassles receiving letters

627
00:31:52.240 --> 00:31:55.480
<v Speaker 1>of credit and financial services from local banks. These letters

628
00:31:55.519 --> 00:31:57.920
<v Speaker 1>were presented in a hearing before the National Commission on

629
00:31:58.079 --> 00:32:01.480
<v Speaker 1>Consumer Finance in May of nineteen seventy two. This and

630
00:32:01.559 --> 00:32:05.400
<v Speaker 1>subsequent hearings helped inform the nineteen seventy four bill. Although

631
00:32:05.440 --> 00:32:07.599
<v Speaker 1>the bill was passed, it did not guarantee that women

632
00:32:07.799 --> 00:32:10.839
<v Speaker 1>or women owned businesses would be considered credit worthy by banks.

633
00:32:11.200 --> 00:32:14.319
<v Speaker 1>It merely allowed them to pursue legal recourse for discrimination

634
00:32:14.480 --> 00:32:15.519
<v Speaker 1>based on sex.

635
00:32:16.200 --> 00:32:20.079
<v Speaker 2>So that is wild to me. This was so this

636
00:32:20.400 --> 00:32:23.319
<v Speaker 2>was not very long ago, but real shit. And it's

637
00:32:23.480 --> 00:32:26.119
<v Speaker 2>just it's crazy to me when people like get all

638
00:32:26.200 --> 00:32:28.720
<v Speaker 2>huffy and puffy when women mentioned things like this, and

639
00:32:28.839 --> 00:32:31.799
<v Speaker 2>it's like, this was not very long ago, but this

640
00:32:31.960 --> 00:32:34.880
<v Speaker 2>didn't just affect us. So disabled people weren't allowed to

641
00:32:34.920 --> 00:32:38.000
<v Speaker 2>get shit either. All the minority groups were not allowed

642
00:32:38.039 --> 00:32:38.839
<v Speaker 2>to get shit either.

643
00:32:39.000 --> 00:32:42.880
<v Speaker 3>Like overall, it affected a large amount of people, and

644
00:32:43.200 --> 00:32:45.799
<v Speaker 3>it's it's crazy that this was Like my parents were

645
00:32:45.880 --> 00:32:50.000
<v Speaker 3>living through this time. Oh, my grandparents were here thriving

646
00:32:50.039 --> 00:32:53.519
<v Speaker 3>and doing everything else. So my grandma actually owned the

647
00:32:53.640 --> 00:32:56.839
<v Speaker 3>nursing homes. And I don't want to misspeak, but I

648
00:32:57.119 --> 00:33:01.200
<v Speaker 3>think that she opened the first one and like seventy six,

649
00:33:02.079 --> 00:33:05.440
<v Speaker 3>I remember, right somewhere around there, and I know that.

650
00:33:05.559 --> 00:33:06.519
<v Speaker 2>I mean, she was married to.

651
00:33:06.559 --> 00:33:09.920
<v Speaker 3>My grandfather, you know, then they eventually divorced and he

652
00:33:10.039 --> 00:33:13.160
<v Speaker 3>passed and stuff. But I remember, like they've talked about,

653
00:33:13.440 --> 00:33:15.279
<v Speaker 3>you know, the struggles of trying to get credit and

654
00:33:15.359 --> 00:33:17.799
<v Speaker 3>all this stuff. I just never even really paid attention though,

655
00:33:17.799 --> 00:33:19.680
<v Speaker 3>because when I was younger, I was like, I mean, yeah,

656
00:33:19.720 --> 00:33:23.279
<v Speaker 3>everyone struggles to get credit cards whatever. Right now, knowing

657
00:33:23.440 --> 00:33:25.720
<v Speaker 3>like the history of it, it's like, oh no, you

658
00:33:26.000 --> 00:33:29.119
<v Speaker 3>like really mean you couldn't have get help because you

659
00:33:29.200 --> 00:33:31.880
<v Speaker 3>had to have your husband sign on it in nineteen

660
00:33:32.079 --> 00:33:32.880
<v Speaker 3>seventy four.

661
00:33:33.359 --> 00:33:36.599
<v Speaker 1>Yeah, and again, this didn't make it easier. This just

662
00:33:36.720 --> 00:33:39.319
<v Speaker 1>meant that the women could sue the bank. And I

663
00:33:39.359 --> 00:33:42.079
<v Speaker 1>don't know if y'all know right right, but I don't

664
00:33:42.079 --> 00:33:43.799
<v Speaker 1>know if y'all know this or not. But the banks

665
00:33:44.119 --> 00:33:46.839
<v Speaker 1>got money, and they got money to hire the best

666
00:33:46.960 --> 00:33:50.079
<v Speaker 1>lawyers on the planet. So let's say you have some

667
00:33:50.599 --> 00:33:54.279
<v Speaker 1>some woman, some little, some little woman in your little

668
00:33:54.359 --> 00:33:57.119
<v Speaker 1>town that got tonied for a little bank woan, and

669
00:33:57.240 --> 00:33:59.960
<v Speaker 1>she's gonna take you to whittle court. Meanwhile, you're hiring

670
00:34:00.160 --> 00:34:02.039
<v Speaker 1>like the best lawyer's money can buy to make her

671
00:34:02.079 --> 00:34:04.759
<v Speaker 1>seem like an idiot. So just because they could take

672
00:34:04.880 --> 00:34:07.200
<v Speaker 1>legal recourse that didn't really pan out for them very

673
00:34:07.240 --> 00:34:08.320
<v Speaker 1>well more often than not.

674
00:34:09.159 --> 00:34:12.119
<v Speaker 2>So can you imagine this that? And of course immigrants too.

675
00:34:12.079 --> 00:34:15.159
<v Speaker 1>Oh same shit, Like yeah, I mean, it's the the.

676
00:34:15.199 --> 00:34:18.159
<v Speaker 2>Amount of people that had had to deal with this,

677
00:34:18.320 --> 00:34:18.880
<v Speaker 2>it's crazy.

678
00:34:19.079 --> 00:34:22.159
<v Speaker 1>So keep in mind, we feel we allegedly put a

679
00:34:22.280 --> 00:34:25.320
<v Speaker 1>guy on the moon before a woman could get a

680
00:34:25.440 --> 00:34:27.360
<v Speaker 1>bank loan without her husband in tow.

681
00:34:28.320 --> 00:34:30.800
<v Speaker 2>You know, everyone's gonna be like, you're a firm or nurse.

682
00:34:30.679 --> 00:34:34.760
<v Speaker 1>I said, allegedly. And also, now fuck that, dude. If

683
00:34:34.800 --> 00:34:37.079
<v Speaker 1>a woman could earn her her daily bread on her own,

684
00:34:37.159 --> 00:34:39.400
<v Speaker 1>she should be able to get a loan. That's fucking retorted.

685
00:34:40.079 --> 00:34:42.719
<v Speaker 2>Same with anybody else besides just men.

686
00:34:43.440 --> 00:34:46.079
<v Speaker 3>So but even that, though only select few of men,

687
00:34:46.159 --> 00:34:49.000
<v Speaker 3>let me, let's be really clear, there's only a margin

688
00:34:49.079 --> 00:34:50.360
<v Speaker 3>of men that were allowed.

689
00:34:50.039 --> 00:34:52.840
<v Speaker 2>To pretty much get loans. Everyone else was pretty much fucked.

690
00:34:52.639 --> 00:34:55.480
<v Speaker 1>So pretty much, it's wild. It had to be the

691
00:34:55.559 --> 00:34:57.920
<v Speaker 1>right type of guy, and it couldn't just be white guys,

692
00:34:58.000 --> 00:35:00.800
<v Speaker 1>because like what about the Italian You know what I'm saying.

693
00:35:00.800 --> 00:35:02.239
<v Speaker 1>I had to be the right type of white We

694
00:35:02.280 --> 00:35:04.960
<v Speaker 1>couldn't have those guys getting loans. Go, you're kidding me.

695
00:35:05.320 --> 00:35:07.519
<v Speaker 1>The Polish. You're going to give a loan to a

696
00:35:07.559 --> 00:35:13.199
<v Speaker 1>Polish guy. Come on, now, the fucking Irish, mister bank officer,

697
00:35:13.599 --> 00:35:16.519
<v Speaker 1>you just gave a loan to an fucking gypsy. Come

698
00:35:16.559 --> 00:35:18.679
<v Speaker 1>on now, you see, you see what I'm saying. So

699
00:35:18.760 --> 00:35:21.840
<v Speaker 1>it wasn't just well the Jews, they always got there,

700
00:35:25.000 --> 00:35:28.039
<v Speaker 1>But the reality is it wasn't just all white men.

701
00:35:28.559 --> 00:35:31.880
<v Speaker 1>It was a very select group of waspy, fucking guys.

702
00:35:32.239 --> 00:35:35.320
<v Speaker 1>And that was that was basically it. And so moving

703
00:35:35.480 --> 00:35:40.039
<v Speaker 1>on in the nineteen seventies, they passed the ECOA and

704
00:35:40.280 --> 00:35:44.000
<v Speaker 1>now banks started and again they started getting some litigation.

705
00:35:44.239 --> 00:35:45.920
<v Speaker 1>They started getting some people sue them, but they could

706
00:35:45.960 --> 00:35:48.679
<v Speaker 1>afford the lawyers, and that was fine, but it got

707
00:35:48.719 --> 00:35:50.559
<v Speaker 1>to a point to where they could no longer foot

708
00:35:50.599 --> 00:35:53.519
<v Speaker 1>the bill for this mini legal fees. So now that

709
00:35:53.880 --> 00:35:58.320
<v Speaker 1>credit thing, that that that the Fiico company, remember hearing

710
00:35:58.320 --> 00:36:01.039
<v Speaker 1>about that, this these two dudes in California. They made

711
00:36:01.079 --> 00:36:04.719
<v Speaker 1>this number, and it sidelined itself for a good while.

712
00:36:04.840 --> 00:36:09.000
<v Speaker 1>Because a bank officer's got power, right, and I'm not

713
00:36:09.079 --> 00:36:13.280
<v Speaker 1>saying like stroking your own ego power, but human intervention

714
00:36:14.000 --> 00:36:17.920
<v Speaker 1>at the time seemed better for business than an arbitrary number,

715
00:36:18.239 --> 00:36:21.840
<v Speaker 1>because some of these things could work in your favor. Right,

716
00:36:21.960 --> 00:36:25.440
<v Speaker 1>Let's say that this loan officer who isn't worried about

717
00:36:25.480 --> 00:36:27.559
<v Speaker 1>some credit score thing, it's all about how he felt

718
00:36:27.639 --> 00:36:31.000
<v Speaker 1>about the individual. He can approve loans for a buddy

719
00:36:31.039 --> 00:36:33.840
<v Speaker 1>of his, he can deny loans for an enemy of his.

720
00:36:34.480 --> 00:36:36.760
<v Speaker 1>He can use this as a way to keep minority

721
00:36:36.800 --> 00:36:39.480
<v Speaker 1>groups down. He could use this to elevate certain things

722
00:36:39.519 --> 00:36:42.239
<v Speaker 1>in his town and work deals in backdoor kickbacks and

723
00:36:42.280 --> 00:36:45.440
<v Speaker 1>shit like this. So the banks were not super jazzed

724
00:36:45.519 --> 00:36:47.880
<v Speaker 1>up to grab hold to this whole credit score thing

725
00:36:47.960 --> 00:36:52.000
<v Speaker 1>when it first came out, But once the nineteen seventies happened,

726
00:36:52.320 --> 00:36:55.000
<v Speaker 1>they realized, oh wait a minute, we could use this.

727
00:36:55.559 --> 00:36:58.519
<v Speaker 1>This could now be a shield to protect our loan

728
00:36:58.639 --> 00:37:02.760
<v Speaker 1>houses because now our officer didn't deny you this loan

729
00:37:02.840 --> 00:37:05.840
<v Speaker 1>because you're a black woman, you have a low credit score,

730
00:37:06.239 --> 00:37:08.760
<v Speaker 1>and that you're gonna you're gonna sue a number. You're

731
00:37:08.760 --> 00:37:11.400
<v Speaker 1>gonna sue the credit bureau, that's not the bank. You

732
00:37:11.480 --> 00:37:12.360
<v Speaker 1>see what I'm saying here.

733
00:37:12.840 --> 00:37:16.960
<v Speaker 3>Credibly shady shit anyways, though, Oh when they put shit

734
00:37:17.039 --> 00:37:19.760
<v Speaker 3>on your credit score though, like and you can't get

735
00:37:19.800 --> 00:37:20.159
<v Speaker 3>it off.

736
00:37:21.639 --> 00:37:22.440
<v Speaker 2>I've petitioned the.

737
00:37:22.480 --> 00:37:27.199
<v Speaker 3>Credit bureaus for like seven years to remove one thing

738
00:37:27.760 --> 00:37:31.159
<v Speaker 3>that is completely false and it is messed with my credit.

739
00:37:31.239 --> 00:37:35.400
<v Speaker 3>All this time they refuse. I've sent in documentation, I've

740
00:37:35.519 --> 00:37:37.880
<v Speaker 3>called them, I'm evil them. I've done all this stuff,

741
00:37:38.119 --> 00:37:39.639
<v Speaker 3>and I know people that have gone on and gotten

742
00:37:39.719 --> 00:37:40.639
<v Speaker 3>so many things removed.

743
00:37:40.679 --> 00:37:44.559
<v Speaker 2>And it's like, I who's doing this? Is? Is it? Ai? Like?

744
00:37:44.920 --> 00:37:47.159
<v Speaker 2>Who is actually behind all this exactly?

745
00:37:47.360 --> 00:37:50.719
<v Speaker 1>And that's the other thing. All these companies that claim, oh,

746
00:37:50.800 --> 00:37:52.440
<v Speaker 1>you give me six months and I could have your

747
00:37:52.480 --> 00:37:56.199
<v Speaker 1>credit score improved by two hundred points, they can because

748
00:37:56.239 --> 00:37:58.920
<v Speaker 1>they're working the system, and it doesn't Actually they're not

749
00:37:59.079 --> 00:38:02.360
<v Speaker 1>doing things to your finds. You're not paying off your

750
00:38:02.440 --> 00:38:05.039
<v Speaker 1>debts in a different way than you normally would. They're

751
00:38:05.119 --> 00:38:07.800
<v Speaker 1>shifting some numbers around to make the algorithm play more

752
00:38:07.840 --> 00:38:09.679
<v Speaker 1>to your favor to make you have a higher credit

753
00:38:09.719 --> 00:38:12.440
<v Speaker 1>score for that moment in time. In another six months,

754
00:38:12.480 --> 00:38:14.199
<v Speaker 1>if you do nothing, your credit score go back to

755
00:38:14.239 --> 00:38:16.159
<v Speaker 1>where it once was. But we're gonna talk about that

756
00:38:16.519 --> 00:38:18.119
<v Speaker 1>a little bit later when we talk about the five

757
00:38:18.199 --> 00:38:20.599
<v Speaker 1>key principles to what gives you your credit score and

758
00:38:20.719 --> 00:38:23.320
<v Speaker 1>look at those a little more in depth. But as

759
00:38:23.360 --> 00:38:27.320
<v Speaker 1>we're talking about this, all this, the banks, the credit scores,

760
00:38:27.360 --> 00:38:30.800
<v Speaker 1>the bureaus, all of this go off of predictive analytics,

761
00:38:31.519 --> 00:38:34.960
<v Speaker 1>which is modern risk management. And this is what is

762
00:38:35.079 --> 00:38:38.119
<v Speaker 1>being used for your credit score. This is from Carrington

763
00:38:38.280 --> 00:38:40.840
<v Speaker 1>Labs dot com. And we're gonna read a little bit

764
00:38:40.840 --> 00:38:43.320
<v Speaker 1>about it. And again they're going to word this and

765
00:38:43.440 --> 00:38:45.519
<v Speaker 1>spend it in a way that makes it very good.

766
00:38:46.079 --> 00:38:48.039
<v Speaker 1>All of us should be using this in our lives,

767
00:38:48.079 --> 00:38:49.760
<v Speaker 1>and it's gonna make it sound like this is clearly

768
00:38:49.840 --> 00:38:52.320
<v Speaker 1>the smartest way to do it. Think about all of

769
00:38:52.360 --> 00:38:53.039
<v Speaker 1>what I'm about to read.

770
00:38:53.119 --> 00:38:55.719
<v Speaker 2>Credit the number do I know? Like where do? I

771
00:38:55.800 --> 00:38:57.480
<v Speaker 2>still don't get where they got the number?

772
00:38:57.679 --> 00:39:00.440
<v Speaker 3>Like I get the used mathematics and stuff, but if

773
00:39:00.519 --> 00:39:03.440
<v Speaker 3>there's no data collection throughout the country, they just pulled

774
00:39:03.480 --> 00:39:06.320
<v Speaker 3>a number out of their ass and was like close enough.

775
00:39:06.559 --> 00:39:08.760
<v Speaker 1>Essentially, that's how they got the baseline. And the credit

776
00:39:08.800 --> 00:39:12.280
<v Speaker 1>scores have been they've they've been altered and shifted a

777
00:39:12.320 --> 00:39:14.440
<v Speaker 1>little here and a little there over the decades. Don't

778
00:39:14.440 --> 00:39:17.599
<v Speaker 1>get me wrong, but when FIKO first started it, it

779
00:39:17.800 --> 00:39:20.280
<v Speaker 1>was off of whatever data the banks are willing to

780
00:39:20.320 --> 00:39:23.159
<v Speaker 1>give them at that time. And again, if this one

781
00:39:23.280 --> 00:39:26.039
<v Speaker 1>bank has approved zero loans to black people for the

782
00:39:26.119 --> 00:39:29.320
<v Speaker 1>last fifty years. That data is getting entered into the system.

783
00:39:30.519 --> 00:39:33.480
<v Speaker 2>I just don't see how he would have gathered enough data.

784
00:39:33.800 --> 00:39:37.559
<v Speaker 3>Enough banks would be willingly giving over people's information to

785
00:39:37.760 --> 00:39:42.119
<v Speaker 3>collect data to make an algorithm to see exactly.

786
00:39:41.719 --> 00:39:44.519
<v Speaker 2>How this works. Like, it's just it's all bullshit. I

787
00:39:44.559 --> 00:39:45.599
<v Speaker 2>feel like it completely.

788
00:39:46.039 --> 00:39:48.760
<v Speaker 3>And then and then the fact that we still use

789
00:39:48.800 --> 00:39:50.559
<v Speaker 3>it though today, Like I understand trying to get a

790
00:39:50.599 --> 00:39:54.320
<v Speaker 3>standardized metric system at least so that way we could

791
00:39:54.400 --> 00:39:58.960
<v Speaker 3>try to eliminate discrimination and all of that, I'm totally behind.

792
00:39:59.000 --> 00:40:02.159
<v Speaker 3>That problem is is now you've created a whole situation

793
00:40:02.280 --> 00:40:04.280
<v Speaker 3>where it's just bullshit, it's fake.

794
00:40:04.679 --> 00:40:04.920
<v Speaker 1>It is.

795
00:40:05.079 --> 00:40:07.039
<v Speaker 3>And then people have to live their lives by this

796
00:40:07.119 --> 00:40:09.440
<v Speaker 3>credit score and it doesn't affect the elite and the wealthy,

797
00:40:09.719 --> 00:40:12.679
<v Speaker 3>it affects everybody else below that. And then we're all

798
00:40:12.800 --> 00:40:15.079
<v Speaker 3>sitting here trying to pay off debt, but don't pay

799
00:40:15.119 --> 00:40:17.719
<v Speaker 3>off too much debt, and you know, let's make sure

800
00:40:18.079 --> 00:40:20.400
<v Speaker 3>don't open too many credit cards. My mom had a

801
00:40:20.480 --> 00:40:20.960
<v Speaker 3>credit card.

802
00:40:21.039 --> 00:40:21.440
<v Speaker 2>I'm glad.

803
00:40:21.719 --> 00:40:24.119
<v Speaker 3>This is really random, but my mom had this Nordstrom

804
00:40:24.159 --> 00:40:26.840
<v Speaker 3>credit card, which is a clothing company O North.

805
00:40:26.840 --> 00:40:29.199
<v Speaker 2>She's had it since she's had it since she was

806
00:40:29.559 --> 00:40:31.400
<v Speaker 2>I think sixteen or seventeen years old.

807
00:40:31.480 --> 00:40:32.840
<v Speaker 1>So that's our longest line of credit.

808
00:40:32.960 --> 00:40:34.599
<v Speaker 2>Yeah, longest line of credit. Right.

809
00:40:35.320 --> 00:40:37.840
<v Speaker 3>Nordstrom's like two years ago, two or three years ago,

810
00:40:38.360 --> 00:40:41.840
<v Speaker 3>they got bought out. Their credit system got bought out

811
00:40:41.920 --> 00:40:44.920
<v Speaker 3>by another company, and they went and they raised their

812
00:40:45.480 --> 00:40:48.519
<v Speaker 3>interest rates. I think it was like seventy nine percent

813
00:40:48.719 --> 00:40:51.960
<v Speaker 3>or something obscene like it went from like fifteen percent

814
00:40:52.079 --> 00:40:55.239
<v Speaker 3>to an obscene amount, don't I don't know the exact number,

815
00:40:55.280 --> 00:40:58.639
<v Speaker 3>but I know it was like a crazy high high number.

816
00:40:59.159 --> 00:41:01.760
<v Speaker 3>And my mom's like, I've had this credit card since

817
00:41:01.800 --> 00:41:05.440
<v Speaker 3>I was sixteen, seventeen years old, and now I'm gonna.

818
00:41:05.239 --> 00:41:09.519
<v Speaker 2>Have to close it. Her score dropped twenty three points

819
00:41:09.679 --> 00:41:11.679
<v Speaker 2>because she closed that credit card.

820
00:41:12.039 --> 00:41:17.039
<v Speaker 1>Only twenty three points. Yeah, Raven, Raven, it was.

821
00:41:17.480 --> 00:41:21.039
<v Speaker 3>But for my mom, that hasn't eight hundred like she felt,

822
00:41:21.119 --> 00:41:23.639
<v Speaker 3>so I think it was she felt some type of way.

823
00:41:23.679 --> 00:41:25.840
<v Speaker 3>But she closed another card too, and that dropped even more.

824
00:41:25.920 --> 00:41:28.320
<v Speaker 2>It dropped like a huge amount, and she was pissed

825
00:41:28.639 --> 00:41:30.199
<v Speaker 2>the day. Paul and knew all this stuff.

826
00:41:30.800 --> 00:41:32.559
<v Speaker 3>Yeah, but you got to understand old people feel some

827
00:41:32.599 --> 00:41:34.639
<v Speaker 3>type of way about their credit score, especially when they

828
00:41:34.679 --> 00:41:36.440
<v Speaker 3>work like all their life to have like an eight

829
00:41:36.519 --> 00:41:37.599
<v Speaker 3>hundred plus, which is.

830
00:41:37.639 --> 00:41:40.000
<v Speaker 1>Crazy because it wasn't even a thing until eighty nine.

831
00:41:40.679 --> 00:41:44.039
<v Speaker 1>But like, okay, but no, look, I got divorced my

832
00:41:44.199 --> 00:41:47.599
<v Speaker 1>first divorce, my credit score was over a seven hundred.

833
00:41:47.960 --> 00:41:50.840
<v Speaker 1>The day my divorce got finalized, it dropped to a

834
00:41:50.880 --> 00:41:51.519
<v Speaker 1>three point fifty.

835
00:41:53.280 --> 00:41:55.760
<v Speaker 2>That's insane. Yeah, I know that my mom's dropped. I

836
00:41:55.800 --> 00:41:58.119
<v Speaker 2>think a couple I mean, but when I was married

837
00:41:58.159 --> 00:42:00.519
<v Speaker 2>and got divorced and stuff, mine dropped I think a

838
00:42:00.679 --> 00:42:04.679
<v Speaker 2>hundred points yeahbe almost one hundred. And it had nothing

839
00:42:04.719 --> 00:42:05.639
<v Speaker 2>to do with me either.

840
00:42:05.559 --> 00:42:09.639
<v Speaker 1>Nothing, how it actually happened. It actually had nothing to

841
00:42:09.800 --> 00:42:11.920
<v Speaker 1>do with you, Raven. It had everything to do with

842
00:42:12.159 --> 00:42:15.360
<v Speaker 1>the predictive analytics and the risk management.

843
00:42:15.480 --> 00:42:20.280
<v Speaker 3>I got divorced, and now I became a higher risk category, right, Yeah, yeah,

844
00:42:20.400 --> 00:42:22.239
<v Speaker 3>that's what I thought. Yeah, because you're a because you

845
00:42:22.280 --> 00:42:23.840
<v Speaker 3>don't have as study of an income.

846
00:42:24.159 --> 00:42:28.199
<v Speaker 1>Because statistically, a woman living in your section of Louisiana

847
00:42:28.280 --> 00:42:31.639
<v Speaker 1>who has recently divorced is more likely going to start

848
00:42:31.719 --> 00:42:34.199
<v Speaker 1>defaulting on some loans that she has and missing some

849
00:42:34.320 --> 00:42:37.679
<v Speaker 1>payments from time to time. That is what the FIICO

850
00:42:38.079 --> 00:42:41.360
<v Speaker 1>decided arbitrarily. That has nothing to do with you personally,

851
00:42:41.440 --> 00:42:43.280
<v Speaker 1>even if you have never missed a payment and even

852
00:42:43.320 --> 00:42:45.280
<v Speaker 1>paid a little more each time and all that, that

853
00:42:45.320 --> 00:42:47.760
<v Speaker 1>has nothing to do with your credit score at all.

854
00:42:49.000 --> 00:42:50.119
<v Speaker 2>I actually didn't know any of this.

855
00:42:50.599 --> 00:42:52.960
<v Speaker 1>I didn't either, which is why I'm fucking pissedl now.

856
00:42:53.599 --> 00:42:55.000
<v Speaker 4>Yeah who.

857
00:42:55.280 --> 00:42:57.559
<v Speaker 1>I had to calm down before I started this episode

858
00:42:57.599 --> 00:43:00.320
<v Speaker 1>because as I'm as I learned all this and looking

859
00:43:00.360 --> 00:43:03.039
<v Speaker 1>at what my credit score currently is, which I'm I'm

860
00:43:03.800 --> 00:43:05.079
<v Speaker 1>guessing great.

861
00:43:04.920 --> 00:43:07.000
<v Speaker 2>Now I'm gonna have to look at mine, God damn it.

862
00:43:07.119 --> 00:43:09.559
<v Speaker 1>But be careful if you check it too many times,

863
00:43:09.960 --> 00:43:11.519
<v Speaker 1>they'll also kid deed.

864
00:43:11.760 --> 00:43:14.800
<v Speaker 2>I don't fucking understand this whole thing. It's because when

865
00:43:14.800 --> 00:43:17.400
<v Speaker 2>you're easy, how Yeah, when you keep us down in every.

866
00:43:17.239 --> 00:43:20.159
<v Speaker 1>Way, whenever you do a pull on your credit score,

867
00:43:20.800 --> 00:43:24.199
<v Speaker 1>they the bureau sees it as the only reason somebody

868
00:43:24.280 --> 00:43:26.159
<v Speaker 1>would pull this. You are allowed to pull it like

869
00:43:26.239 --> 00:43:28.400
<v Speaker 1>once or twice a year for no reason in you're fine,

870
00:43:28.639 --> 00:43:30.360
<v Speaker 1>But if you pull it too many times, they're like, oh,

871
00:43:30.440 --> 00:43:32.159
<v Speaker 1>the only reason you would have had this pulled is

872
00:43:32.199 --> 00:43:33.840
<v Speaker 1>if you were trying to get approved for a loan,

873
00:43:34.199 --> 00:43:36.039
<v Speaker 1>And if we see no new debt to your name,

874
00:43:36.320 --> 00:43:38.760
<v Speaker 1>but you pulled your credit score six times this past year,

875
00:43:39.119 --> 00:43:42.639
<v Speaker 1>that must mean that you got denied four times for loans.

876
00:43:42.760 --> 00:43:44.199
<v Speaker 1>So we're gonna go ahead and den you a couple

877
00:43:44.239 --> 00:43:48.079
<v Speaker 1>points there. Yeah, man, I just looked at mine.

878
00:43:48.079 --> 00:43:48.800
<v Speaker 2>I want to look at it.

879
00:43:48.960 --> 00:43:50.920
<v Speaker 1>I warned you. I fucking warned you.

880
00:43:52.079 --> 00:43:53.880
<v Speaker 2>Wow, that's that's rough.

881
00:43:54.159 --> 00:43:56.480
<v Speaker 1>Good cult members, if you're listening, don't don't go do that.

882
00:43:57.000 --> 00:43:58.679
<v Speaker 1>Don't go do that. Just do what you're supposed to do.

883
00:43:59.159 --> 00:44:01.480
<v Speaker 1>Call one of these row companies that's supposed to help

884
00:44:01.519 --> 00:44:03.320
<v Speaker 1>you with your credit score. They can look at it

885
00:44:03.400 --> 00:44:06.079
<v Speaker 1>without it dinging you as an individual, look at it.

886
00:44:06.079 --> 00:44:07.760
<v Speaker 2>On your you can leave it on your bank account,

887
00:44:07.880 --> 00:44:09.920
<v Speaker 2>like Chase Bank. That's what I'm looking at. Chase Bank

888
00:44:09.920 --> 00:44:11.079
<v Speaker 2>will tell you everything you want to know.

889
00:44:11.480 --> 00:44:14.960
<v Speaker 1>They're pulling it from Equifax, huh, which is one of

890
00:44:15.000 --> 00:44:17.719
<v Speaker 1>the three main top dogs in this country. And yes,

891
00:44:17.800 --> 00:44:19.599
<v Speaker 1>if you pull that too many times, it's still going

892
00:44:19.639 --> 00:44:20.000
<v Speaker 1>to hit you.

893
00:44:22.119 --> 00:44:23.199
<v Speaker 2>I'm gonna cry right now.

894
00:44:23.920 --> 00:44:24.400
<v Speaker 1>I'm sorry.

895
00:44:24.480 --> 00:44:25.880
<v Speaker 2>Read the article. I'm gonna cry.

896
00:44:26.119 --> 00:44:28.639
<v Speaker 1>So let's learn a little bit here from Carrington Labs

897
00:44:28.639 --> 00:44:31.960
<v Speaker 1>about the role of predictive analytics in modern risk management

898
00:44:32.079 --> 00:44:38.119
<v Speaker 1>and strengthening credit quality. Strengthening credit quality, predictive analytics drives

899
00:44:38.440 --> 00:44:41.679
<v Speaker 1>could be your key to better credit quality, tackling rising

900
00:44:41.760 --> 00:44:45.719
<v Speaker 1>critical criticized loans, and strengthening risk management in today's tough

901
00:44:45.880 --> 00:44:50.599
<v Speaker 1>economic climate. In today's volatile economic environment, credit quality has

902
00:44:50.639 --> 00:44:53.880
<v Speaker 1>become a growing concern for US lenders and financial institutions.

903
00:44:54.239 --> 00:44:57.400
<v Speaker 1>Recent reports, such as those from the SMP Global show

904
00:44:57.440 --> 00:45:01.599
<v Speaker 1>a significant rise in criticized loans, with some institutions nearing

905
00:45:01.719 --> 00:45:05.960
<v Speaker 1>levels not seen since the Great Financial Crisis. These trends

906
00:45:06.039 --> 00:45:09.480
<v Speaker 1>underline the pressing need for robust, proactive credit risk management

907
00:45:09.559 --> 00:45:14.800
<v Speaker 1>to safeguard institutional stability and ensure regulatory compliance. Predictive analytics

908
00:45:15.119 --> 00:45:18.039
<v Speaker 1>is emerging as a critical tool for addressing these challenges,

909
00:45:18.320 --> 00:45:23.119
<v Speaker 1>providing lenders with actionable insights to navigate evolving risks and

910
00:45:23.320 --> 00:45:27.000
<v Speaker 1>maintaining healthy portfolios. Essentially, it's saying that this is making

911
00:45:27.039 --> 00:45:28.880
<v Speaker 1>it to where banks know to loan you or not

912
00:45:29.079 --> 00:45:31.320
<v Speaker 1>loan you things based off the market value, not off

913
00:45:31.360 --> 00:45:34.519
<v Speaker 1>of you as an individual. But let's read more credit

914
00:45:34.599 --> 00:45:38.559
<v Speaker 1>quality challenges facing US lenders and financial institutions, because yes,

915
00:45:38.960 --> 00:45:44.559
<v Speaker 1>the banks, they are in trouble. These financial institutions. They

916
00:45:44.639 --> 00:45:47.280
<v Speaker 1>need help, y'all, they need your thoughts and prayers all.

917
00:45:47.440 --> 00:45:49.400
<v Speaker 3>I love how they always when they talk about the

918
00:45:49.599 --> 00:45:53.000
<v Speaker 3>national debt for the United States, it's like some g

919
00:45:53.239 --> 00:45:55.599
<v Speaker 3>rano mass number like they threw out in the ether,

920
00:45:55.800 --> 00:45:59.320
<v Speaker 3>and it's like, there's no actual tangible money. There's not

921
00:45:59.400 --> 00:46:03.400
<v Speaker 3>like a mountain of gold sitting somewhere and a dragon's

922
00:46:03.480 --> 00:46:04.280
<v Speaker 3>watching over it.

923
00:46:04.400 --> 00:46:08.480
<v Speaker 2>And that's the amount that we owe. It's literally just like, yeah,

924
00:46:08.559 --> 00:46:10.360
<v Speaker 2>you owe a couple trillion, It's whatever.

925
00:46:10.639 --> 00:46:12.920
<v Speaker 1>No, Fort Knox is empty. We sold all that to

926
00:46:13.000 --> 00:46:14.800
<v Speaker 1>Europe over the past couple of decades, which, as a

927
00:46:14.840 --> 00:46:16.559
<v Speaker 1>matter of fact, we might even do a whole episode

928
00:46:16.599 --> 00:46:19.880
<v Speaker 1>on that, by the way, because the movement of gold

929
00:46:19.920 --> 00:46:21.760
<v Speaker 1>from point A to point B is something that can

930
00:46:21.960 --> 00:46:25.760
<v Speaker 1>absolutely be tracked and has been tracked. And I feel

931
00:46:25.760 --> 00:46:27.679
<v Speaker 1>like a lot of people we get we talk about

932
00:46:27.719 --> 00:46:29.960
<v Speaker 1>that a lot like Fort Knox is empty. Our Boni's

933
00:46:30.000 --> 00:46:32.880
<v Speaker 1>not gold backed anymore. But ba bop no, no, really,

934
00:46:33.360 --> 00:46:34.239
<v Speaker 1>like America has.

935
00:46:34.280 --> 00:46:37.760
<v Speaker 2>No gold like, so we just I don't want to understand.

936
00:46:37.760 --> 00:46:40.679
<v Speaker 1>It's all fiat currency. It's all how our dollar is

937
00:46:40.760 --> 00:46:43.639
<v Speaker 1>wagered against other dollars from around the world, off of

938
00:46:43.760 --> 00:46:46.199
<v Speaker 1>other countries based off of how our economy and our

939
00:46:46.239 --> 00:46:48.599
<v Speaker 1>GDP is doing and how the oil prices are looking.

940
00:46:48.679 --> 00:46:49.840
<v Speaker 1>It has nothing to do with us.

941
00:46:51.239 --> 00:46:54.119
<v Speaker 2>That's just crazy. Yeah, the whole money system in America

942
00:46:54.280 --> 00:46:55.079
<v Speaker 2>is insane to me.

943
00:46:55.760 --> 00:46:58.920
<v Speaker 1>Yeah, as of this moment, the US dollar is still

944
00:46:59.039 --> 00:47:02.000
<v Speaker 1>top dog. It's still the international trade currency because of

945
00:47:02.079 --> 00:47:05.079
<v Speaker 1>the petro dollar and all these things. It's great, we

946
00:47:05.280 --> 00:47:07.719
<v Speaker 1>are we are closer now than we have ever been

947
00:47:07.800 --> 00:47:10.119
<v Speaker 1>before to that being dethroned. And a lot of people

948
00:47:10.119 --> 00:47:11.639
<v Speaker 1>will say it's because of crypto. A lot of people

949
00:47:11.719 --> 00:47:13.039
<v Speaker 1>say it's because of bricks. A lot of people will

950
00:47:13.039 --> 00:47:15.960
<v Speaker 1>say it's because of Trump. But there's multiple levels to that.

951
00:47:16.079 --> 00:47:19.360
<v Speaker 1>There's not one solid answer. There's a few answers that

952
00:47:19.519 --> 00:47:24.679
<v Speaker 1>all tie into one amalgamation of butt fuckery that has

953
00:47:24.760 --> 00:47:27.639
<v Speaker 1>screwed us as far as our our finances are concerned.

954
00:47:27.960 --> 00:47:30.920
<v Speaker 1>But that is a talk for another day. Good cult

955
00:47:30.960 --> 00:47:33.400
<v Speaker 1>members stand by for the Fort Knox Being Empty episode.

956
00:47:33.400 --> 00:47:34.719
<v Speaker 1>I've actually been wanting to do that for a couple

957
00:47:34.760 --> 00:47:36.480
<v Speaker 1>of months, so I'll do it. I'll do a deep

958
00:47:36.519 --> 00:47:39.119
<v Speaker 1>dive on that one here soon anyway. So again, the

959
00:47:39.199 --> 00:47:43.079
<v Speaker 1>credit quality challenges facing the US lenders and financial institutions

960
00:47:43.280 --> 00:47:46.960
<v Speaker 1>for yeah, for real, right, criticized loans defined as loans

961
00:47:47.000 --> 00:47:50.320
<v Speaker 1>with potential weaknesses that could jeopardize repayment are becoming an

962
00:47:50.440 --> 00:47:56.559
<v Speaker 1>increasing burden for banks. For banks, so a loan that

963
00:47:57.159 --> 00:48:00.360
<v Speaker 1>has an issue with maybe this loan won't be re paid.

964
00:48:01.000 --> 00:48:03.760
<v Speaker 1>That's bad for the banks, not the person who's getting

965
00:48:03.760 --> 00:48:06.400
<v Speaker 1>their house foreclosed on, because again, the credit doesn't give

966
00:48:06.400 --> 00:48:09.239
<v Speaker 1>a fuck. If you lost your job, got hurt and

967
00:48:09.320 --> 00:48:11.719
<v Speaker 1>can't go to work, that they couldn't give a fuck less.

968
00:48:12.159 --> 00:48:15.320
<v Speaker 1>It's all about your actionable debt, which we're gonna talk

969
00:48:15.360 --> 00:48:20.519
<v Speaker 1>more about. Factors contributing to this trend include persistent inflation

970
00:48:20.719 --> 00:48:25.480
<v Speaker 1>and its impact on borrowers' ability to meet obligations. Okay,

971
00:48:25.679 --> 00:48:27.760
<v Speaker 1>this is accurate. Inflation goes up and people are having

972
00:48:27.800 --> 00:48:31.440
<v Speaker 1>trouble making their payments fair enough. Rising interest rates putting

973
00:48:31.440 --> 00:48:35.519
<v Speaker 1>pressure on debt servicing costs. That's the thing. Interest rates

974
00:48:35.519 --> 00:48:37.119
<v Speaker 1>are high as fuck, and Trump's trying to fight that

975
00:48:37.239 --> 00:48:39.159
<v Speaker 1>right now, but he's doing it in a way that

976
00:48:39.239 --> 00:48:42.440
<v Speaker 1>could lead to mass inflation, which we talked about quantitative

977
00:48:42.480 --> 00:48:45.079
<v Speaker 1>easing on the last episode of The Cajon Night, which

978
00:48:45.079 --> 00:48:46.280
<v Speaker 1>we're not going to get into that, right now, but

979
00:48:46.519 --> 00:48:48.639
<v Speaker 1>that's an accurate statement to say that interest rates are

980
00:48:48.639 --> 00:48:52.880
<v Speaker 1>also screwing over the customer challenges and underwriting standards during

981
00:48:53.000 --> 00:48:57.639
<v Speaker 1>periods of rapid loan growth housing bubble. Essentially, that's the

982
00:48:57.760 --> 00:49:02.440
<v Speaker 1>housing bubble. Kind of a surmised into a one sentence statement.

983
00:49:03.079 --> 00:49:06.559
<v Speaker 1>These challenges highlight the importance of taking more vigilant and

984
00:49:06.679 --> 00:49:10.519
<v Speaker 1>forward looking approaches to credit risk management, where early identification

985
00:49:10.719 --> 00:49:14.880
<v Speaker 1>of an at risk loan can mitigate potential losses. They're

986
00:49:14.880 --> 00:49:16.800
<v Speaker 1>saying it's going to be hard to get loans because

987
00:49:16.800 --> 00:49:19.119
<v Speaker 1>if it's too risky, they're just gonna say no. So

988
00:49:19.320 --> 00:49:23.559
<v Speaker 1>why vigilant credit risk management is essential. Effective credit risk

989
00:49:23.760 --> 00:49:27.519
<v Speaker 1>management goes beyond reactive measures. It requires a proactive strategy

990
00:49:27.559 --> 00:49:31.400
<v Speaker 1>that leverages data to predict and address potential issues before

991
00:49:31.480 --> 00:49:34.880
<v Speaker 1>they escalate, i e. Denying a loan before it gets

992
00:49:34.920 --> 00:49:36.719
<v Speaker 1>approved so that the bank doesn't lose any money on

993
00:49:36.760 --> 00:49:40.840
<v Speaker 1>the whole shebang. Vigilance is particularly critical in the current

994
00:49:40.960 --> 00:49:45.400
<v Speaker 1>regulatory landscape, where institutions face heightened scrutiny and reputable risks

995
00:49:45.519 --> 00:49:49.840
<v Speaker 1>tied to credit quality quality. Key components of robust credit

996
00:49:49.920 --> 00:49:54.079
<v Speaker 1>risk management include real time monitoring of loan performance and

997
00:49:54.199 --> 00:49:57.760
<v Speaker 1>borrower behavior. They're watching your dollars and they're watching your

998
00:49:57.840 --> 00:50:00.719
<v Speaker 1>numbers to see up, down, left, right, how things are flowing.

999
00:50:01.039 --> 00:50:03.400
<v Speaker 1>And not for you as an individual, for a lot

1000
00:50:03.440 --> 00:50:06.360
<v Speaker 1>of people that look like you, that make similar money

1001
00:50:06.599 --> 00:50:08.800
<v Speaker 1>like you, that live in the area that you live in.

1002
00:50:09.360 --> 00:50:11.519
<v Speaker 1>It's all about the the litmus test. It's like the

1003
00:50:11.559 --> 00:50:15.199
<v Speaker 1>biggest VENN diagram ever. So they're talking about real time

1004
00:50:15.280 --> 00:50:19.199
<v Speaker 1>monitoring all these things, which ties into data collection. We're

1005
00:50:19.199 --> 00:50:20.400
<v Speaker 1>gonna get to that in a bit, which I do

1006
00:50:20.480 --> 00:50:25.480
<v Speaker 1>believe ties into AI comprehensive portfolio segmentation to identify high

1007
00:50:25.559 --> 00:50:29.280
<v Speaker 1>risk segments, essentially noticing that, hey, you got this guy

1008
00:50:29.320 --> 00:50:32.039
<v Speaker 1>who's buying a bunch of toys. He just got him

1009
00:50:32.039 --> 00:50:34.960
<v Speaker 1>a good job and how hit paying industry, and he's

1010
00:50:35.000 --> 00:50:37.800
<v Speaker 1>buying a bunch of toys. But this is also seasonal work,

1011
00:50:37.880 --> 00:50:39.559
<v Speaker 1>and give it another eight months and he'll be out

1012
00:50:39.599 --> 00:50:40.960
<v Speaker 1>of a job, and all this shit's going to get,

1013
00:50:41.039 --> 00:50:45.920
<v Speaker 1>you know, repossessed, things like this, right. Adoption of advanced

1014
00:50:45.960 --> 00:50:50.679
<v Speaker 1>tools that integrate predictive capabilities to uncover emerging trends in

1015
00:50:50.800 --> 00:50:54.119
<v Speaker 1>borrower risk I e. Credit score.

1016
00:50:54.719 --> 00:50:55.559
<v Speaker 2>Yeah, that's crazy.

1017
00:50:56.280 --> 00:50:58.280
<v Speaker 3>I mean I looked up while you're talking about like

1018
00:50:58.440 --> 00:51:01.800
<v Speaker 3>risks for the banks and stuff. So from twenty from

1019
00:51:01.840 --> 00:51:04.840
<v Speaker 3>two thousand and one to twenty twenty six, five hundred

1020
00:51:04.840 --> 00:51:06.800
<v Speaker 3>and seventy banks.

1021
00:51:06.559 --> 00:51:10.679
<v Speaker 2>Have failed and closed. Yeah, and it's just talking about

1022
00:51:10.920 --> 00:51:14.559
<v Speaker 2>that since the seventies and another five hundred I guess

1023
00:51:14.599 --> 00:51:19.719
<v Speaker 2>have closed major factors due to economic recessions and financial crisis,

1024
00:51:20.400 --> 00:51:25.840
<v Speaker 2>mergers and acquisitions. It's talking about like the stability of

1025
00:51:25.880 --> 00:51:29.000
<v Speaker 2>the bank. The smaller banks, they can't handle loaning stuff

1026
00:51:29.039 --> 00:51:30.519
<v Speaker 2>out and them not getting paid back.

1027
00:51:31.239 --> 00:51:33.519
<v Speaker 1>Yeah, a lot of these mom and pop banks. And

1028
00:51:33.599 --> 00:51:36.320
<v Speaker 1>by mom and pop banks, I mean like, I don't know,

1029
00:51:36.440 --> 00:51:41.679
<v Speaker 1>let's just throw it out the first National Firefighters Credit

1030
00:51:41.840 --> 00:51:45.360
<v Speaker 1>Union or something, right, or you're a Red River credit

1031
00:51:45.480 --> 00:51:48.880
<v Speaker 1>union or or any of these little small financial institutions

1032
00:51:48.920 --> 00:51:50.559
<v Speaker 1>that might be local to you. Yeah, they might have

1033
00:51:51.039 --> 00:51:53.400
<v Speaker 1>four or five buildings, but it's not like this is

1034
00:51:53.440 --> 00:51:56.639
<v Speaker 1>a national bank or a national credit union or anything

1035
00:51:56.719 --> 00:52:00.400
<v Speaker 1>like that. Right when the financial crisis hit, a lot

1036
00:52:00.480 --> 00:52:05.239
<v Speaker 1>of these places got fucked hard, and then you had

1037
00:52:05.760 --> 00:52:09.039
<v Speaker 1>the capital ones, the Chase banks, right that would come

1038
00:52:09.119 --> 00:52:11.480
<v Speaker 1>in and would buy up these mom and pop shops

1039
00:52:11.960 --> 00:52:15.239
<v Speaker 1>in some big merger, some big acquisition. Whatever. The case was,

1040
00:52:15.880 --> 00:52:18.239
<v Speaker 1>and then realize that all these loans are really bad

1041
00:52:18.280 --> 00:52:21.079
<v Speaker 1>for their bottom dollars, so they just shut them down. Yeah,

1042
00:52:21.440 --> 00:52:23.239
<v Speaker 1>and that's how it works in the world a big business.

1043
00:52:24.199 --> 00:52:26.480
<v Speaker 2>It's crazy. Is that reminds me of like Amazon and

1044
00:52:26.519 --> 00:52:27.679
<v Speaker 2>Walmart and Target.

1045
00:52:27.920 --> 00:52:32.400
<v Speaker 3>Yes, exactly the same concept with businesses as it is

1046
00:52:32.480 --> 00:52:33.000
<v Speaker 3>with banks.

1047
00:52:33.639 --> 00:52:37.360
<v Speaker 1>Absolutely, but it's not a monopoly because if there's at

1048
00:52:37.440 --> 00:52:39.960
<v Speaker 1>least like two or three top dog banks out there

1049
00:52:40.079 --> 00:52:44.039
<v Speaker 1>that are competing quote unquote against each other, then it's

1050
00:52:44.079 --> 00:52:45.760
<v Speaker 1>not a monopoly for them to pull up and just

1051
00:52:45.800 --> 00:52:47.880
<v Speaker 1>shut down all the local mom and pop shops and

1052
00:52:47.920 --> 00:52:50.840
<v Speaker 1>then once everything's gone and they're the only bank in town,

1053
00:52:51.039 --> 00:52:52.800
<v Speaker 1>jack up interest rates to a level to where the

1054
00:52:52.840 --> 00:52:57.599
<v Speaker 1>people are fucked. That's not illegal because there is another

1055
00:52:57.679 --> 00:53:01.159
<v Speaker 1>bank you could go to. Yeah, I know. It doesn't

1056
00:53:01.199 --> 00:53:03.639
<v Speaker 1>all have to be tied into JP Morgan, although it

1057
00:53:03.679 --> 00:53:08.079
<v Speaker 1>pretty much all is tied into anyway anyway. So anyway,

1058
00:53:08.360 --> 00:53:11.239
<v Speaker 1>in a summary of this article, here the key takeaways.

1059
00:53:11.639 --> 00:53:14.800
<v Speaker 1>Number one, the risk in criticized loans highlights the need

1060
00:53:14.880 --> 00:53:19.599
<v Speaker 1>for proactive and vigilant credit risk management to safeguard institutional stability.

1061
00:53:20.000 --> 00:53:22.400
<v Speaker 1>They're saying that we need to lean more heavily into

1062
00:53:22.559 --> 00:53:24.960
<v Speaker 1>this arbitrary credit score that ain't got shit to do

1063
00:53:25.039 --> 00:53:28.639
<v Speaker 1>with you. Number two, Predictive analytics offer a powerful tool

1064
00:53:28.719 --> 00:53:32.840
<v Speaker 1>for identifying early warning signals, optimizing risk mitigation, and enhancing

1065
00:53:32.880 --> 00:53:36.280
<v Speaker 1>decision making. They're saying that the bank officers no longer

1066
00:53:36.360 --> 00:53:39.239
<v Speaker 1>have to rely on their intuition about if a bank,

1067
00:53:39.599 --> 00:53:41.039
<v Speaker 1>if a loan is going to be a good one

1068
00:53:41.119 --> 00:53:44.840
<v Speaker 1>or not. They could use this number to say, hey,

1069
00:53:44.880 --> 00:53:46.760
<v Speaker 1>I'm sorry I didn't approve you of the loan because

1070
00:53:46.760 --> 00:53:48.760
<v Speaker 1>you have a low credit score. And they're doing that,

1071
00:53:49.000 --> 00:53:53.119
<v Speaker 1>Like they said, an early warning signal, optimizing risk mitigation

1072
00:53:53.320 --> 00:53:55.519
<v Speaker 1>is to protect their own ass. That's all it's ever

1073
00:53:55.599 --> 00:54:00.360
<v Speaker 1>been about. And then number three, by adopting explainable AI

1074
00:54:01.400 --> 00:54:05.360
<v Speaker 1>and forward looking strategies, banks can strengthen credit quality, ensure

1075
00:54:05.440 --> 00:54:09.719
<v Speaker 1>regulatory compliance, and drive sustainable growth. Hey y'all, remember how

1076
00:54:10.039 --> 00:54:12.960
<v Speaker 1>we've been talking right for about a year now about

1077
00:54:13.000 --> 00:54:16.000
<v Speaker 1>how the AI is all actually just collecting your data.

1078
00:54:16.400 --> 00:54:19.840
<v Speaker 1>That's all it's actually about. It's about spying on you. Yeah,

1079
00:54:20.679 --> 00:54:23.079
<v Speaker 1>it's gonna get to a point, and it's already there,

1080
00:54:23.079 --> 00:54:26.079
<v Speaker 1>in my opinion, where the AI that's operating on your

1081
00:54:26.199 --> 00:54:29.199
<v Speaker 1>phone is watching every single app that you're on. They're

1082
00:54:29.280 --> 00:54:33.039
<v Speaker 1>watching your TEAMU orders, they're watching your Amazon orders. And

1083
00:54:33.519 --> 00:54:35.760
<v Speaker 1>keep in mind, this same data knows how much money

1084
00:54:35.760 --> 00:54:38.199
<v Speaker 1>you have in your bank account and what your average

1085
00:54:38.239 --> 00:54:41.239
<v Speaker 1>household income is on a monthly basis. They're gonna start

1086
00:54:41.320 --> 00:54:44.639
<v Speaker 1>using that along with everything else, to decide if you,

1087
00:54:44.880 --> 00:54:50.400
<v Speaker 1>as an individual, are a risky loan or not. And

1088
00:54:50.480 --> 00:54:52.840
<v Speaker 1>then they're going to compare it against the national average

1089
00:54:53.039 --> 00:54:55.719
<v Speaker 1>or the credit score. It's all tied together here.

1090
00:54:56.880 --> 00:54:59.280
<v Speaker 3>Well, what's interesting is you can actually go in and

1091
00:54:59.559 --> 00:55:02.280
<v Speaker 3>if you you use certain apps or you try to

1092
00:55:02.320 --> 00:55:05.559
<v Speaker 3>pay for certain things, they actually link your bank accounts

1093
00:55:05.679 --> 00:55:10.119
<v Speaker 3>to them. So like a firm or shop, you can

1094
00:55:10.280 --> 00:55:12.880
<v Speaker 3>link your bank accounts to it, and they actually monitor

1095
00:55:13.039 --> 00:55:16.880
<v Speaker 3>your bank accounts through the data collection, and it will

1096
00:55:17.360 --> 00:55:20.159
<v Speaker 3>it's easier quote unquote for you to pay, but it

1097
00:55:20.320 --> 00:55:21.920
<v Speaker 3>monitors everything that you're doing.

1098
00:55:22.360 --> 00:55:24.559
<v Speaker 1>And this is also why I've told so many people

1099
00:55:25.239 --> 00:55:30.599
<v Speaker 1>do not use Klarna or any of these other loan things. Listen,

1100
00:55:31.119 --> 00:55:33.719
<v Speaker 1>I know I use it a good bit. If you

1101
00:55:33.840 --> 00:55:36.599
<v Speaker 1>are in a position where you literally have to make

1102
00:55:36.639 --> 00:55:38.960
<v Speaker 1>this two hundred dollars expenditure happen and you have no

1103
00:55:39.079 --> 00:55:42.000
<v Speaker 1>other way. Basically, use Klarna as if it's a loan shark,

1104
00:55:42.599 --> 00:55:45.480
<v Speaker 1>that it should be your last resort. If you're using

1105
00:55:45.559 --> 00:55:49.719
<v Speaker 1>Klarna to put a Chipotle order on a payment plan.

1106
00:55:50.599 --> 00:55:53.039
<v Speaker 1>I can't express in words how fucked you're gonna be

1107
00:55:53.119 --> 00:55:55.360
<v Speaker 1>when you try to apply for an actual loan for

1108
00:55:55.440 --> 00:55:57.400
<v Speaker 1>a car, a house, or whatever, and they're going to say, hey,

1109
00:55:57.440 --> 00:56:00.519
<v Speaker 1>wait a minute. In twenty twenty five, you open sixty

1110
00:56:00.679 --> 00:56:04.400
<v Speaker 1>five individual lines of credit and how many of those

1111
00:56:04.440 --> 00:56:06.840
<v Speaker 1>did you actually pay off? Because how many people are

1112
00:56:06.960 --> 00:56:08.920
<v Speaker 1>thinking about that. Oh God, I forgot I bought you

1113
00:56:09.039 --> 00:56:11.079
<v Speaker 1>pote off of Klarina three months ago. I better pay

1114
00:56:11.119 --> 00:56:13.840
<v Speaker 1>that shit off before it gets reported. Clarina is reporting

1115
00:56:14.000 --> 00:56:17.400
<v Speaker 1>every single thing to the credit bureau everything.

1116
00:56:19.079 --> 00:56:22.119
<v Speaker 3>It's oh they they report everything, and you they they

1117
00:56:22.280 --> 00:56:24.480
<v Speaker 3>remind you and all the stuff. But you know they

1118
00:56:24.519 --> 00:56:26.320
<v Speaker 3>will report the shit out of you.

1119
00:56:26.559 --> 00:56:29.360
<v Speaker 1>So if you're gonna use Klarna or and that's just

1120
00:56:29.440 --> 00:56:32.840
<v Speaker 1>one example, there's there's a few, uh you know, small

1121
00:56:33.079 --> 00:56:37.480
<v Speaker 1>instant loan acceptance apps out there, and shit, if you're

1122
00:56:37.519 --> 00:56:40.519
<v Speaker 1>going to use it, use it as the same level

1123
00:56:40.559 --> 00:56:44.320
<v Speaker 1>as you're going to a mafia boss to get an

1124
00:56:44.360 --> 00:56:47.440
<v Speaker 1>amount of money because you have no other options. If

1125
00:56:47.480 --> 00:56:51.199
<v Speaker 1>you're using it to buy your lunch. Then we got

1126
00:56:51.280 --> 00:56:53.280
<v Speaker 1>we got problems, big problems.

1127
00:56:54.760 --> 00:56:57.159
<v Speaker 3>Yeah, it's it's tough because some of those things, like

1128
00:56:57.239 --> 00:56:59.679
<v Speaker 3>they like the affirm will give you a large amount

1129
00:56:59.679 --> 00:57:02.360
<v Speaker 3>of credit it, Yes they will, you like a seventeen

1130
00:57:02.400 --> 00:57:05.079
<v Speaker 3>thousand dollars credit line. Fuck yeah, they will, and they

1131
00:57:05.159 --> 00:57:07.639
<v Speaker 3>can give you it will give you cash pay, like

1132
00:57:07.920 --> 00:57:10.199
<v Speaker 3>if you need cash. It will be able to sync

1133
00:57:10.280 --> 00:57:12.440
<v Speaker 3>to your Apple Pay and you can use your Apple Pay,

1134
00:57:12.920 --> 00:57:15.440
<v Speaker 3>or you can use use it as like an Apple Pay,

1135
00:57:15.840 --> 00:57:17.679
<v Speaker 3>and you can request it however much you want. So

1136
00:57:17.760 --> 00:57:20.079
<v Speaker 3>you want three hundred dollars, then you add in the interest,

1137
00:57:20.159 --> 00:57:23.760
<v Speaker 3>so you do three fifty, and then whatever you don't

1138
00:57:23.880 --> 00:57:28.239
<v Speaker 3>use it just sits there. So yep, it's a smart

1139
00:57:28.320 --> 00:57:30.679
<v Speaker 3>way to help people in one way, but it's also

1140
00:57:30.719 --> 00:57:32.920
<v Speaker 3>another way to fuck you completely in the other on

1141
00:57:33.039 --> 00:57:33.559
<v Speaker 3>the back end.

1142
00:57:33.679 --> 00:57:37.519
<v Speaker 1>So exactly. So, now as we're talking about all these things,

1143
00:57:37.599 --> 00:57:40.400
<v Speaker 1>let's learn a little bit more about Bill Fair and

1144
00:57:40.559 --> 00:57:45.079
<v Speaker 1>Earl Isaac, the visionary founders of the Fair Isaac and

1145
00:57:45.199 --> 00:57:50.360
<v Speaker 1>Company aka FICO, the data analytics firm now known globally

1146
00:57:50.440 --> 00:57:56.559
<v Speaker 1>as FICO, the data analytics Firm. That's all FICO is

1147
00:57:56.800 --> 00:58:00.400
<v Speaker 1>it's not a credit bureau it's a data analytics firm

1148
00:58:00.960 --> 00:58:03.400
<v Speaker 1>that is being used by the credit bureaus.

1149
00:58:04.920 --> 00:58:07.559
<v Speaker 3>That's crazy. So we base our entire lives off of

1150
00:58:07.639 --> 00:58:10.320
<v Speaker 3>this thing that's not given okay.

1151
00:58:10.280 --> 00:58:12.960
<v Speaker 1>Has nothing to do enoughing, So the partner should do

1152
00:58:13.039 --> 00:58:16.639
<v Speaker 1>with something exactly the meeting at SRI. So Bill Fair,

1153
00:58:16.719 --> 00:58:20.719
<v Speaker 1>an engineer, and earl Isaac, a mathematician, met while working

1154
00:58:20.880 --> 00:58:24.920
<v Speaker 1>at the Stanford or Stanford Research Institute SRI in the

1155
00:58:25.079 --> 00:58:30.039
<v Speaker 1>early nineteen fifties. There's also some some conspiracy surrounding SRI.

1156
00:58:30.239 --> 00:58:32.880
<v Speaker 1>To be completely honest with you, the company launch was

1157
00:58:32.920 --> 00:58:36.039
<v Speaker 1>in nineteen fifty six. They founded their company with an

1158
00:58:36.079 --> 00:58:40.119
<v Speaker 1>initial investment of just four hundred dollars each. This is

1159
00:58:40.159 --> 00:58:42.559
<v Speaker 1>a small thing. They were just trying to crunch numbers

1160
00:58:42.599 --> 00:58:44.119
<v Speaker 1>to make loans dollars.

1161
00:58:44.159 --> 00:58:46.440
<v Speaker 2>They were able to change everybody's lives.

1162
00:58:46.519 --> 00:58:50.719
<v Speaker 1>For the forever essentially. And again, most banks didn't really

1163
00:58:51.320 --> 00:58:53.800
<v Speaker 1>do anything with this for a couple of decades because

1164
00:58:54.400 --> 00:58:57.000
<v Speaker 1>they saw it as it took power away from them.

1165
00:58:57.320 --> 00:58:59.239
<v Speaker 1>It took power away from their loan officers, it took

1166
00:58:59.239 --> 00:59:02.519
<v Speaker 1>power away from the and now anybody could get approved

1167
00:59:02.559 --> 00:59:05.760
<v Speaker 1>for a loan that could have some dangerous implications, you

1168
00:59:05.800 --> 00:59:07.599
<v Speaker 1>know what I'm sarreing. Especially, that was the mindset of

1169
00:59:07.599 --> 00:59:11.079
<v Speaker 1>the nineteen fifties original office. They began operating in a

1170
00:59:11.119 --> 00:59:14.920
<v Speaker 1>small studio apartment in San Rafael, California, right outside of

1171
00:59:14.920 --> 00:59:19.239
<v Speaker 1>San Francisco. The core philosophy their business was built on

1172
00:59:19.360 --> 00:59:23.760
<v Speaker 1>the then radical idea that data and mathematical algorithms could

1173
00:59:23.800 --> 00:59:27.840
<v Speaker 1>improve business decisions by making them more objective and consistent.

1174
00:59:29.000 --> 00:59:31.400
<v Speaker 1>Right there there. Again, I don't think they had the

1175
00:59:31.480 --> 00:59:34.920
<v Speaker 1>intention of fucking anyone over They were saying, like, so

1176
00:59:35.039 --> 00:59:37.719
<v Speaker 1>you got this guy who has never done anything wrong,

1177
00:59:37.800 --> 00:59:39.760
<v Speaker 1>but he just got denied alone over here. And you

1178
00:59:39.840 --> 00:59:42.440
<v Speaker 1>got this other guy who he's getting approved for everything

1179
00:59:42.480 --> 00:59:44.480
<v Speaker 1>even though he defaults on stuff, but his buddy is

1180
00:59:44.519 --> 00:59:47.079
<v Speaker 1>the bank teller. Like, we've got we gotta find some

1181
00:59:47.119 --> 00:59:49.480
<v Speaker 1>way to standardize this and try to make it equal.

1182
00:59:49.960 --> 00:59:53.280
<v Speaker 1>I don't think they set out to fuck people, at

1183
00:59:53.360 --> 00:59:57.760
<v Speaker 1>least not in the onset, but as all good things do.

1184
00:59:59.000 --> 01:00:01.000
<v Speaker 1>Let and you know, let's let's go a little bit

1185
01:00:01.039 --> 01:00:03.000
<v Speaker 1>deeper into at least one of them. So William Fair,

1186
01:00:03.039 --> 01:00:04.800
<v Speaker 1>this is actually his obituary. I'm not going to read

1187
01:00:04.800 --> 01:00:08.000
<v Speaker 1>the entire thing, but this is also pretty impressive, so

1188
01:00:08.119 --> 01:00:10.920
<v Speaker 1>his company began in nineteen fifty six as Fico Right.

1189
01:00:11.000 --> 01:00:13.840
<v Speaker 1>He was an engineer, and we talked about earl Isaac.

1190
01:00:15.000 --> 01:00:17.760
<v Speaker 1>Over the years, the company gained success by providing analytics,

1191
01:00:17.840 --> 01:00:22.239
<v Speaker 1>software services, and Fico Scores, the most used credit scores

1192
01:00:22.320 --> 01:00:25.239
<v Speaker 1>in the world, not the US, the world, to help

1193
01:00:25.320 --> 01:00:29.199
<v Speaker 1>financial service companies decide how to do business. Customers included

1194
01:00:29.239 --> 01:00:34.119
<v Speaker 1>credit card issuers, banks, retailers, auto companies, and utilities. Its

1195
01:00:34.199 --> 01:00:37.960
<v Speaker 1>early success included work with Conrad Hilton, who hired Fiko

1196
01:00:38.079 --> 01:00:41.440
<v Speaker 1>to design, program and install a billing system for Carte

1197
01:00:41.480 --> 01:00:45.119
<v Speaker 1>Blanche in nineteen fifty seven, a nineteen sixty three job

1198
01:00:45.199 --> 01:00:48.639
<v Speaker 1>from Montgomery Ward building a credit scoring system for that

1199
01:00:48.760 --> 01:00:53.079
<v Speaker 1>department store chain. Fair moved his company in nineteen sixty

1200
01:00:53.119 --> 01:00:56.599
<v Speaker 1>one to San Francisco's Financial district and in the nineteen

1201
01:00:56.639 --> 01:00:59.800
<v Speaker 1>seventies worked with the Connecticut Bank and Trust and Wells Fargo,

1202
01:01:00.280 --> 01:01:03.840
<v Speaker 1>among other firms. In nineteen seventy seven, the company implemented

1203
01:01:03.880 --> 01:01:06.840
<v Speaker 1>the first credit scoring system at a European bank, and

1204
01:01:07.000 --> 01:01:10.039
<v Speaker 1>five years later opened its first European office in Monaco.

1205
01:01:10.719 --> 01:01:14.920
<v Speaker 1>Of course it was Monaco, I know. Between nineteen sixty

1206
01:01:15.000 --> 01:01:17.639
<v Speaker 1>and his retirement in nineteen ninety one. Fair served as

1207
01:01:17.719 --> 01:01:20.480
<v Speaker 1>president of his company and later as chairman and technical

1208
01:01:20.519 --> 01:01:24.400
<v Speaker 1>consultant to his firm and subsidiary, Dyna Mark, Inc. The

1209
01:01:24.519 --> 01:01:26.800
<v Speaker 1>year he retired, the company made its credit bureau risk

1210
01:01:26.840 --> 01:01:31.800
<v Speaker 1>scores available to at all three major US credit reporting agencies.

1211
01:01:32.360 --> 01:01:33.880
<v Speaker 1>We're going to talk about those here in a bit.

1212
01:01:34.000 --> 01:01:36.639
<v Speaker 1>That's the Equifax and the TransUnion, all the things.

1213
01:01:37.360 --> 01:01:40.039
<v Speaker 2>Anyways, So well, I mean, Wells Fargo is under a

1214
01:01:40.079 --> 01:01:42.519
<v Speaker 2>lot of scrutiny too because of the scandal with the

1215
01:01:44.280 --> 01:01:47.320
<v Speaker 2>the causes and consequences, the fake account scandal, with the.

1216
01:01:47.400 --> 01:01:50.440
<v Speaker 3>High pressure sales culture that led to the widespread fraud

1217
01:01:50.519 --> 01:01:55.639
<v Speaker 3>and massive fines in corporate reform. Yep, it happened last

1218
01:01:55.719 --> 01:01:58.519
<v Speaker 3>year in December and December twelfth, I think is when

1219
01:01:58.559 --> 01:02:02.639
<v Speaker 3>it around that time. Well here is Wells Fargo bank

1220
01:02:02.679 --> 01:02:06.559
<v Speaker 3>accounts scandal involved creation of millions of consumer accounts services

1221
01:02:06.639 --> 01:02:10.639
<v Speaker 3>without consumer knowledge or consent over a period of years.

1222
01:02:10.719 --> 01:02:14.599
<v Speaker 3>The widespread misconduct under sorry, I can't see what these glasses.

1223
01:02:14.679 --> 01:02:15.039
<v Speaker 1>I get it?

1224
01:02:17.159 --> 01:02:18.440
<v Speaker 2>Where am I public trust?

1225
01:02:18.559 --> 01:02:22.519
<v Speaker 3>And expose a toxic internal culture driven by aggressive sale targets.

1226
01:02:22.840 --> 01:02:26.039
<v Speaker 3>The fallout led to a massive financial appenalties and sweeping

1227
01:02:26.119 --> 01:02:29.960
<v Speaker 3>regulations overnight that started. So yeah, they got in trouble, big, big,

1228
01:02:30.159 --> 01:02:33.800
<v Speaker 3>big time, because from two thousand and two to twenty sixteen,

1229
01:02:34.199 --> 01:02:37.920
<v Speaker 3>there was like three point five million potential unauthorized accounts

1230
01:02:37.960 --> 01:02:41.159
<v Speaker 3>that were created that were checking savings, credit cards, et cetera.

1231
01:02:42.000 --> 01:02:46.079
<v Speaker 3>And it was all used to drive up the cross

1232
01:02:46.239 --> 01:02:49.760
<v Speaker 3>sailing and strategy to be able to change the algorithms

1233
01:02:49.880 --> 01:02:53.119
<v Speaker 3>and data collections, and they use phony information.

1234
01:02:53.760 --> 01:02:55.679
<v Speaker 2>There's actually a lot of it. There's a lot of.

1235
01:02:55.719 --> 01:03:00.280
<v Speaker 3>Scandal around Wells Fargo itself. Actually that was my first

1236
01:03:00.320 --> 01:03:03.119
<v Speaker 3>bank I ever had, and I had for like decades.

1237
01:03:03.119 --> 01:03:06.920
<v Speaker 1>So there's gonna be some chicanery anytime you've got that

1238
01:03:07.119 --> 01:03:09.159
<v Speaker 1>level of money being moved from point to point B.

1239
01:03:09.400 --> 01:03:12.440
<v Speaker 1>So any of them, Honestly, I wouldn't be surprised if

1240
01:03:12.679 --> 01:03:15.360
<v Speaker 1>Capital One and Chase and all these other big dogs

1241
01:03:15.480 --> 01:03:19.440
<v Speaker 1>also have a long list of skeletons in the closet

1242
01:03:19.480 --> 01:03:19.960
<v Speaker 1>so to space.

1243
01:03:20.000 --> 01:03:24.239
<v Speaker 3>Well, you know Zell, right, uh huh transfer Zell. So

1244
01:03:24.960 --> 01:03:27.519
<v Speaker 3>I'll give a little back story of this because I

1245
01:03:27.880 --> 01:03:30.599
<v Speaker 3>actually went I actually had an open investigation with the

1246
01:03:30.639 --> 01:03:34.320
<v Speaker 3>police about Zell and Chase Bank. So a few years

1247
01:03:34.320 --> 01:03:37.440
<v Speaker 3>ago I got a phone call that was from a

1248
01:03:37.559 --> 01:03:40.719
<v Speaker 3>Chase number. It was actually the Chase bank number. It

1249
01:03:40.880 --> 01:03:43.360
<v Speaker 3>was not it was actually it was a person. And

1250
01:03:43.480 --> 01:03:46.800
<v Speaker 3>so they went through the entire fraud thing. Now, I've

1251
01:03:46.880 --> 01:03:50.000
<v Speaker 3>called the fraud company of the fraud department before many times,

1252
01:03:50.039 --> 01:03:51.719
<v Speaker 3>so I kind of already had an idea of what,

1253
01:03:52.000 --> 01:03:54.519
<v Speaker 3>you know, they're gonna ask me all the things they

1254
01:03:54.679 --> 01:03:56.719
<v Speaker 3>called me because I had just tried to make a

1255
01:03:56.800 --> 01:03:59.480
<v Speaker 3>purchase five minutes prior and I got flagged with a

1256
01:03:59.519 --> 01:04:02.679
<v Speaker 3>fraud alert. They called me using the bank number, and

1257
01:04:02.679 --> 01:04:05.159
<v Speaker 3>I was like, okay, went through all the steps, the

1258
01:04:05.239 --> 01:04:07.760
<v Speaker 3>same steps that you always go through. They already had

1259
01:04:07.800 --> 01:04:10.239
<v Speaker 3>my bank account information. They already had my bank account

1260
01:04:10.320 --> 01:04:14.840
<v Speaker 3>number and everything. And I was really leary because they

1261
01:04:14.880 --> 01:04:17.119
<v Speaker 3>were like, look, we need to transfer this money. I

1262
01:04:17.199 --> 01:04:19.599
<v Speaker 3>happened at the time. I had just gotten a paycheck

1263
01:04:20.360 --> 01:04:22.880
<v Speaker 3>and it was like a thousand dollars and they're like,

1264
01:04:22.920 --> 01:04:25.239
<v Speaker 3>we're gonna have to transfer this thousand dollars out of

1265
01:04:25.280 --> 01:04:29.280
<v Speaker 3>this bank account because you're already flagged for fraud. Now

1266
01:04:29.440 --> 01:04:31.440
<v Speaker 3>multiple times, which I did, I could see on my

1267
01:04:31.719 --> 01:04:33.119
<v Speaker 3>thing I was hit with fraud.

1268
01:04:33.599 --> 01:04:35.679
<v Speaker 2>Well, they had hit my actual score with.

1269
01:04:35.760 --> 01:04:39.440
<v Speaker 3>Fraud, and so they transferred it via ZEL, the first

1270
01:04:39.480 --> 01:04:42.159
<v Speaker 3>time I've ever used ZEL, and I had never used it.

1271
01:04:42.239 --> 01:04:44.960
<v Speaker 3>I didn't really know much about it, and they supposedly transferred.

1272
01:04:44.960 --> 01:04:47.559
<v Speaker 3>I had two bank accounts, and I was like, well

1273
01:04:48.480 --> 01:04:48.840
<v Speaker 3>I could.

1274
01:04:49.280 --> 01:04:51.199
<v Speaker 2>They're like, you need to do this. Long story short.

1275
01:04:51.239 --> 01:04:51.960
<v Speaker 2>I was really stupid.

1276
01:04:52.000 --> 01:04:53.599
<v Speaker 3>I was really high stress that day, and it was

1277
01:04:53.719 --> 01:04:56.000
<v Speaker 3>just one of those things of like I'm listening, but

1278
01:04:56.039 --> 01:05:00.719
<v Speaker 3>I'm not fully listening. I realized within five seconds of

1279
01:05:00.800 --> 01:05:03.199
<v Speaker 3>it happening. I was like no, like this is fake.

1280
01:05:03.639 --> 01:05:06.000
<v Speaker 3>And I was like, no, I do not give you authorization.

1281
01:05:06.119 --> 01:05:07.679
<v Speaker 2>Blah blah blah. They hung up on me.

1282
01:05:07.800 --> 01:05:10.320
<v Speaker 3>I called right away to Chase Bank, and I actually

1283
01:05:10.400 --> 01:05:12.519
<v Speaker 3>went and drove into the Chase Bank. I happened to

1284
01:05:12.559 --> 01:05:16.480
<v Speaker 3>be right down the street, and they both on the

1285
01:05:16.599 --> 01:05:19.159
<v Speaker 3>phone and in bank told me there's nothing they could

1286
01:05:19.199 --> 01:05:21.559
<v Speaker 3>do about it, because if you actually go and read

1287
01:05:21.800 --> 01:05:24.840
<v Speaker 3>all the information when you sign click that button about

1288
01:05:25.000 --> 01:05:28.480
<v Speaker 3>zell and you call the numbers that are associated, they're

1289
01:05:28.519 --> 01:05:33.440
<v Speaker 3>all offshore bank accounts, banking facilities. There's no one to

1290
01:05:33.519 --> 01:05:36.760
<v Speaker 3>actually talk to. There's no one that's actually running it.

1291
01:05:37.199 --> 01:05:41.119
<v Speaker 3>It's being filtered through offshore accounts via the big corporations,

1292
01:05:41.440 --> 01:05:43.119
<v Speaker 3>And when I went to the police station and filed

1293
01:05:43.159 --> 01:05:45.559
<v Speaker 3>a report because I was like, look, if you're not

1294
01:05:45.639 --> 01:05:48.440
<v Speaker 3>going to help me, and this was literally a minute ago,

1295
01:05:49.079 --> 01:05:50.719
<v Speaker 3>and you're not going to do anything to stop the

1296
01:05:50.760 --> 01:05:52.960
<v Speaker 3>money from being taken out of my bank account because

1297
01:05:52.960 --> 01:05:55.039
<v Speaker 3>they could stop it. They easily could have clicked the

1298
01:05:55.079 --> 01:05:58.039
<v Speaker 3>button yea and stopped it before it went out, and

1299
01:05:58.159 --> 01:06:00.360
<v Speaker 3>I actually traced back like where it was going is

1300
01:06:00.400 --> 01:06:01.800
<v Speaker 3>going to a California location.

1301
01:06:02.280 --> 01:06:04.679
<v Speaker 2>It hadn't processed all the way through. They refused to

1302
01:06:05.280 --> 01:06:05.519
<v Speaker 2>do it.

1303
01:06:05.960 --> 01:06:08.719
<v Speaker 3>So when I talked to the police and the fraud

1304
01:06:08.800 --> 01:06:11.039
<v Speaker 3>department and all of that, they told me that they

1305
01:06:11.159 --> 01:06:15.440
<v Speaker 3>believe that the banks are actually stealing money from people

1306
01:06:15.920 --> 01:06:18.159
<v Speaker 3>and they're removing it and taking it and filtering it

1307
01:06:18.239 --> 01:06:20.639
<v Speaker 3>into other things, because I'm not the first person that

1308
01:06:20.679 --> 01:06:24.639
<v Speaker 3>they've had that actually explored the numbers inside of the

1309
01:06:24.880 --> 01:06:27.039
<v Speaker 3>thing that you actually signed, because I was calling all

1310
01:06:27.039 --> 01:06:30.280
<v Speaker 3>the numbers. I sat on the phone and it's total

1311
01:06:30.320 --> 01:06:32.519
<v Speaker 3>offshore accounts. There's no one on the other end to

1312
01:06:32.639 --> 01:06:36.159
<v Speaker 3>really help you do anything. And the guy, the police officer,

1313
01:06:36.320 --> 01:06:38.039
<v Speaker 3>was like, you're not the first and not going to

1314
01:06:38.079 --> 01:06:39.920
<v Speaker 3>be the last. We really do believe that some of

1315
01:06:39.960 --> 01:06:42.559
<v Speaker 3>the banks are actually stealing money from the people, and

1316
01:06:42.719 --> 01:06:45.639
<v Speaker 3>because they're using Zell, you sign a document that like

1317
01:06:46.119 --> 01:06:48.519
<v Speaker 3>they're not liable, they're supposed to be. They're supposed to

1318
01:06:48.559 --> 01:06:50.719
<v Speaker 3>be so in certain states they're supposed to be able

1319
01:06:50.760 --> 01:06:52.719
<v Speaker 3>to pay you back. I think up to five thousand

1320
01:06:52.760 --> 01:06:54.760
<v Speaker 3>dollars that you can prove that was fraud and all

1321
01:06:54.800 --> 01:06:57.480
<v Speaker 3>of this stuff. There's certain there's like an act and

1322
01:06:57.559 --> 01:06:59.360
<v Speaker 3>people went after it, and you can look up YouTube

1323
01:06:59.400 --> 01:07:03.760
<v Speaker 3>videos about it. But the vast majority of people are

1324
01:07:03.840 --> 01:07:06.079
<v Speaker 3>having money stolen from them, and they believe that the

1325
01:07:06.159 --> 01:07:08.840
<v Speaker 3>banks are stealing it and they're using Zella as the

1326
01:07:08.880 --> 01:07:10.639
<v Speaker 3>whole as the gimmick.

1327
01:07:10.719 --> 01:07:11.199
<v Speaker 2>Pretty much.

1328
01:07:11.440 --> 01:07:13.199
<v Speaker 1>Oh, I believe that one hundred percent. And I have

1329
01:07:13.280 --> 01:07:16.199
<v Speaker 1>a hard I got a feeling here, Like you said,

1330
01:07:16.320 --> 01:07:19.360
<v Speaker 1>state to state, Louisiana is the only state that operates

1331
01:07:19.440 --> 01:07:21.519
<v Speaker 1>under Napoleonic law. So I have a weird feeling that

1332
01:07:21.599 --> 01:07:23.440
<v Speaker 1>you did not, in fact get that money back.

1333
01:07:24.000 --> 01:07:26.599
<v Speaker 3>I never got the money back. Chase Bank was pretty

1334
01:07:26.639 --> 01:07:31.360
<v Speaker 3>much just like suck. Yeah, you know, the actual cause

1335
01:07:31.800 --> 01:07:34.519
<v Speaker 3>so it went it could it was being transferred to

1336
01:07:35.000 --> 01:07:39.000
<v Speaker 3>a Bank of America supposedly, and the Bank of America

1337
01:07:39.239 --> 01:07:41.639
<v Speaker 3>fraud department. I actually talked to the manager of that

1338
01:07:42.400 --> 01:07:45.760
<v Speaker 3>was super helpful and was like, look, you're not the

1339
01:07:45.840 --> 01:07:48.880
<v Speaker 3>first person i've seen, and I can't physically stop this.

1340
01:07:49.440 --> 01:07:51.960
<v Speaker 2>I can't do anything. I can see your money.

1341
01:07:51.800 --> 01:07:55.199
<v Speaker 3>Coming to us quote unquote, and he's like, but if

1342
01:07:55.280 --> 01:07:58.599
<v Speaker 3>it disappears, He's like, I'm telling you it's going into

1343
01:07:58.639 --> 01:08:01.719
<v Speaker 3>offshore accounts because I can't even stop it even though

1344
01:08:01.760 --> 01:08:04.519
<v Speaker 3>I can see it, and I'm so sorry, and it's

1345
01:08:04.599 --> 01:08:08.480
<v Speaker 3>a whole underbelly scheme. And ever since then, I just

1346
01:08:08.519 --> 01:08:11.920
<v Speaker 3>don't use Zell for that reason alone. But I will

1347
01:08:12.079 --> 01:08:15.400
<v Speaker 3>say that when I really dug deep into it, I

1348
01:08:15.639 --> 01:08:19.439
<v Speaker 3>believe that the money is being funneled for other purposes,

1349
01:08:19.800 --> 01:08:24.000
<v Speaker 3>and it's being taken from US normal citizens and used

1350
01:08:24.079 --> 01:08:26.439
<v Speaker 3>for whatever dot dot dot you want to look at

1351
01:08:26.479 --> 01:08:28.039
<v Speaker 3>it for through the banking systems.

1352
01:08:28.319 --> 01:08:30.560
<v Speaker 1>I think the last time I looked at the statistic,

1353
01:08:30.680 --> 01:08:34.800
<v Speaker 1>it was like, every second, isn't it ten Americans suffer

1354
01:08:35.039 --> 01:08:39.199
<v Speaker 1>some sort of fraud. I don't know it's a six.

1355
01:08:39.439 --> 01:08:42.880
<v Speaker 1>I forget what it was, but basically, every second there

1356
01:08:43.000 --> 01:08:45.000
<v Speaker 1>is bank fraud, whether it's with a credit card or

1357
01:08:45.000 --> 01:08:47.079
<v Speaker 1>whether it's your bank account or a transfer going wrong

1358
01:08:47.159 --> 01:08:50.079
<v Speaker 1>or whatever the case. Yeah, they are absolutely siphoning money

1359
01:08:50.199 --> 01:08:52.439
<v Speaker 1>off the American people. Now, some of that, you're right,

1360
01:08:52.640 --> 01:08:56.119
<v Speaker 1>is from offshore people that are scheming. Some of that,

1361
01:08:57.640 --> 01:09:00.600
<v Speaker 1>in my humble opinion, is being done by the American

1362
01:09:00.680 --> 01:09:03.720
<v Speaker 1>banking institution because, like we just heard about from Wells

1363
01:09:03.760 --> 01:09:07.560
<v Speaker 1>Fargo and then from other banks that are in serious

1364
01:09:07.680 --> 01:09:10.960
<v Speaker 1>financial dire streets right now, they got to make their

1365
01:09:11.000 --> 01:09:13.880
<v Speaker 1>money somehow, and it's not good. It's I mean, yeah,

1366
01:09:14.000 --> 01:09:16.479
<v Speaker 1>it's theft. It's all it ever is. But so is taxation.

1367
01:09:16.520 --> 01:09:19.840
<v Speaker 1>If we're gonna get on this, so, I mean, anyway, so, uh,

1368
01:09:20.000 --> 01:09:21.760
<v Speaker 1>let's talk about this now. This is a deep dive

1369
01:09:21.880 --> 01:09:26.479
<v Speaker 1>into the Fair Isaac Corporation, also known as FICO. So

1370
01:09:26.800 --> 01:09:29.920
<v Speaker 1>the Fair Isaac Corporation has achieved what few companies ever do.

1371
01:09:30.439 --> 01:09:33.880
<v Speaker 1>It's become practically synonymous with the service it provides. The

1372
01:09:34.039 --> 01:09:37.880
<v Speaker 1>ubiquitous FICO score underpins the vast majority of consumer lending

1373
01:09:37.960 --> 01:09:41.359
<v Speaker 1>decisions in the US, giving FICO a toll booth like

1374
01:09:41.439 --> 01:09:46.000
<v Speaker 1>position in the credit ecosystem. This entrenched role, coupled with

1375
01:09:46.119 --> 01:09:49.399
<v Speaker 1>the savvy management and high margin business model, has turned

1376
01:09:49.439 --> 01:09:53.520
<v Speaker 1>FICO into a profit machine for long term shareholders, which

1377
01:09:53.560 --> 01:09:58.800
<v Speaker 1>is very true. They are the spot. There's yeah, they

1378
01:09:58.920 --> 01:10:01.960
<v Speaker 1>quote unquote have their subsidies and these other three that

1379
01:10:02.039 --> 01:10:04.600
<v Speaker 1>we'll talk about in a bit, but it all basically

1380
01:10:04.680 --> 01:10:08.960
<v Speaker 1>goes through Fico. Right, It's like what was it when?

1381
01:10:10.319 --> 01:10:15.600
<v Speaker 1>Was it Vanderbilt or was it Morgan who basically whenever

1382
01:10:15.640 --> 01:10:18.520
<v Speaker 1>the monopoly laws came into play they forced him to

1383
01:10:18.680 --> 01:10:21.760
<v Speaker 1>break apart. Or maybe it was Dale Carnegie. Honestly, whenever

1384
01:10:22.000 --> 01:10:25.039
<v Speaker 1>the monopoly laws came into play, he was forced to

1385
01:10:25.159 --> 01:10:27.199
<v Speaker 1>break up. Oh it was oil, it was it was

1386
01:10:27.439 --> 01:10:30.720
<v Speaker 1>Standard Oil. They forced him to break up his business

1387
01:10:30.880 --> 01:10:34.840
<v Speaker 1>into ten other businesses, but they didn't say anything about

1388
01:10:34.920 --> 01:10:38.279
<v Speaker 1>him having a controlling interest in each of these businesses.

1389
01:10:38.640 --> 01:10:41.800
<v Speaker 1>So he turned one business into ten businesses, all of

1390
01:10:41.840 --> 01:10:44.800
<v Speaker 1>which he owned and operated, not a sole prietorships. They

1391
01:10:44.800 --> 01:10:48.399
<v Speaker 1>were on boards, but he owned majority shares. So essentially,

1392
01:10:48.760 --> 01:10:52.159
<v Speaker 1>the government forced him to make himself even more fabulously

1393
01:10:52.199 --> 01:10:54.560
<v Speaker 1>wealthy than ever before and was able to make it

1394
01:10:54.680 --> 01:10:58.920
<v Speaker 1>go more diverse and more illegal. So it's basically the

1395
01:10:59.000 --> 01:11:00.640
<v Speaker 1>same thing that FICO has done.

1396
01:11:01.960 --> 01:11:02.119
<v Speaker 3>Well.

1397
01:11:02.239 --> 01:11:05.399
<v Speaker 2>Fiico is in bed with Blackrock, Oh, yes, cooperate.

1398
01:11:05.640 --> 01:11:09.399
<v Speaker 3>They collaborate on financial analytics and risk manament management.

1399
01:11:09.520 --> 01:11:10.079
<v Speaker 2>Solutions.

1400
01:11:10.399 --> 01:11:14.000
<v Speaker 3>Their leadership extend includes the executives that work both for

1401
01:11:14.199 --> 01:11:19.279
<v Speaker 3>Fiico and Blackrock, focusing on strategy partnerships. The companies operate independently,

1402
01:11:19.359 --> 01:11:22.439
<v Speaker 3>but leverage each other and use uses their strength and

1403
01:11:22.479 --> 01:11:26.880
<v Speaker 3>financial technology. Their joint efforts aim to enhance decision making

1404
01:11:27.439 --> 01:11:31.359
<v Speaker 3>in credit, risk management and investment strategies. Also, when I

1405
01:11:31.479 --> 01:11:33.920
<v Speaker 3>looked up really quick about you know, total loss for

1406
01:11:34.119 --> 01:11:37.319
<v Speaker 3>fraud last year. So in twenty twenty two, it was

1407
01:11:37.399 --> 01:11:39.840
<v Speaker 3>eight point eight billion, in twenty twenty three it was

1408
01:11:39.880 --> 01:11:42.199
<v Speaker 3>ten billion, in twenty twenty four it was twelve point

1409
01:11:42.359 --> 01:11:45.640
<v Speaker 3>five billion, and in twenty twenty five it is still

1410
01:11:45.800 --> 01:11:48.640
<v Speaker 3>rising because they haven't finished out the quote, but it

1411
01:11:48.760 --> 01:11:51.479
<v Speaker 3>was that sixteen point two is where they're estimating it.

1412
01:11:52.079 --> 01:11:56.760
<v Speaker 1>We have three hundred and sixty million Americans and we

1413
01:11:56.880 --> 01:11:59.760
<v Speaker 1>have sixteen billion loss to fraud.

1414
01:12:00.640 --> 01:12:04.239
<v Speaker 3>They're still determining it right now, but we'll use twenty

1415
01:12:04.279 --> 01:12:08.680
<v Speaker 3>twenty four's solidified number, which is twelve point five billion dollars.

1416
01:12:08.880 --> 01:12:09.359
<v Speaker 2>Just a fraud.

1417
01:12:09.479 --> 01:12:12.680
<v Speaker 1>But that's my point. So essentially six million.

1418
01:12:12.800 --> 01:12:15.399
<v Speaker 2>Six million people. Wait is that million?

1419
01:12:15.479 --> 01:12:19.000
<v Speaker 3>Yep, six million people in twenty twenty four over six million,

1420
01:12:19.000 --> 01:12:19.920
<v Speaker 3>it was almost seven million.

1421
01:12:20.279 --> 01:12:23.000
<v Speaker 1>So continuing on. It says Fiico's dominance and credit scoring

1422
01:12:23.039 --> 01:12:26.600
<v Speaker 1>and analytics provides a robust mote that should persist over

1423
01:12:26.640 --> 01:12:29.159
<v Speaker 1>the next three years, supported by steady growth in its

1424
01:12:29.239 --> 01:12:33.760
<v Speaker 1>core scoring business, expanding adoption of its decision software platform,

1425
01:12:34.199 --> 01:12:37.880
<v Speaker 1>and pricing power that has proven willing to flex. The

1426
01:12:38.000 --> 01:12:42.399
<v Speaker 1>company's strengths and industry standard product, deep integration with customers,

1427
01:12:42.640 --> 01:12:46.800
<v Speaker 1>hefty cash flows position it well to continue compounding value.

1428
01:12:47.199 --> 01:12:49.439
<v Speaker 1>So basically they're saying that it's going to keep going

1429
01:12:49.520 --> 01:12:52.880
<v Speaker 1>up no matter what you do. That said, strategic challenges

1430
01:12:52.920 --> 01:12:55.960
<v Speaker 1>are on the radar. A competing credit score is slowly

1431
01:12:56.079 --> 01:13:00.159
<v Speaker 1>making in roads. This would be called Vantage Score. This

1432
01:13:00.359 --> 01:13:04.760
<v Speaker 1>is Fico's competition. Finally they have another group that's willing

1433
01:13:04.840 --> 01:13:07.000
<v Speaker 1>to combat them in some way, shape or form. But honestly,

1434
01:13:07.039 --> 01:13:10.960
<v Speaker 1>it's it's more of the same. It's not better for anyone.

1435
01:13:11.039 --> 01:13:13.239
<v Speaker 1>It's doing the exact same thing that Fiico does, just

1436
01:13:13.279 --> 01:13:16.119
<v Speaker 1>taking data for people just like you and doesn't take

1437
01:13:16.199 --> 01:13:20.159
<v Speaker 1>you into account as an individual. But anyway, it's slowly

1438
01:13:20.199 --> 01:13:23.159
<v Speaker 1>making in roads. Regulators are eager to foster more competition,

1439
01:13:23.319 --> 01:13:28.239
<v Speaker 1>and Fiico's valuation already reflects high expectations. Despite these caveats.

1440
01:13:28.279 --> 01:13:30.840
<v Speaker 1>I view Fico as a confident long term hole for

1441
01:13:30.920 --> 01:13:33.720
<v Speaker 1>the three year horizon. It's a unique franchise that has

1442
01:13:33.760 --> 01:13:36.840
<v Speaker 1>repeatedly proven its resilience and ability to innovate. The stance

1443
01:13:36.880 --> 01:13:40.039
<v Speaker 1>here straightforward, stay invested for the long haul, but keep

1444
01:13:40.039 --> 01:13:43.199
<v Speaker 1>an eye on the emerging risks that could test Fiico's fortress.

1445
01:13:44.159 --> 01:13:48.359
<v Speaker 1>This was published March of last year. Fiico hasn't lost

1446
01:13:48.439 --> 01:13:51.920
<v Speaker 1>anything like at all. So the background up we talked

1447
01:13:51.920 --> 01:13:56.199
<v Speaker 1>about Bill Fair and Earl Isaac. We talked about how

1448
01:13:56.239 --> 01:13:59.079
<v Speaker 1>they got started here and an era wind loans were

1449
01:13:59.119 --> 01:14:03.880
<v Speaker 1>approved based on personal judgment and a handshake institution. Fair

1450
01:14:03.960 --> 01:14:07.920
<v Speaker 1>in Isaac's analytic approach was a bold gamble early on

1451
01:14:08.039 --> 01:14:10.840
<v Speaker 1>the customer or. The company built custom scoring systems for

1452
01:14:10.920 --> 01:14:15.399
<v Speaker 1>individual lenders, crunching numbers on borrowed IBM computers to predict

1453
01:14:15.520 --> 01:14:19.520
<v Speaker 1>who would repay alone. These efforts gradually succeeded the concept

1454
01:14:19.560 --> 01:14:24.119
<v Speaker 1>of credit scoring in American finance by nineteen eighty nine. Again,

1455
01:14:24.239 --> 01:14:30.000
<v Speaker 1>nineteen eighty nine, Fico introduced the first general purpose FICO score,

1456
01:14:30.359 --> 01:14:33.800
<v Speaker 1>a three digit number that could encapsulate a person's credit risk.

1457
01:14:34.439 --> 01:14:38.039
<v Speaker 1>It was an instant hit. Lenders car craved a quick,

1458
01:14:38.159 --> 01:14:41.880
<v Speaker 1>objective way to evaluate borrowers, and FICO delivered. Yeah, the

1459
01:14:41.960 --> 01:14:45.039
<v Speaker 1>banks weren't like super jazzed again, but they also saw

1460
01:14:45.119 --> 01:14:47.079
<v Speaker 1>this as a great way to have some sort of

1461
01:14:47.159 --> 01:14:52.239
<v Speaker 1>a legal shield to protect their lending institutions from lawsuits

1462
01:14:52.279 --> 01:14:54.680
<v Speaker 1>for you know, who got denied alone and for what reason.

1463
01:14:55.600 --> 01:14:58.239
<v Speaker 1>A inflection point came in nineteen ninety five when a

1464
01:14:58.359 --> 01:15:01.359
<v Speaker 1>US mortgage giants you probably heard of them, Fannie May

1465
01:15:01.760 --> 01:15:05.880
<v Speaker 1>and Freddie Mack, endorse the FIGHTO scores for virtually all

1466
01:15:06.279 --> 01:15:11.079
<v Speaker 1>home loans they purchased. From that moment, Fighto's score became

1467
01:15:11.119 --> 01:15:14.399
<v Speaker 1>the de facto passport to credit in America. By the

1468
01:15:14.520 --> 01:15:17.039
<v Speaker 1>year two thousand and estimated seventy five percent of all

1469
01:15:17.159 --> 01:15:21.840
<v Speaker 1>mortgage applications were being decided with a FICO score. So

1470
01:15:21.960 --> 01:15:25.479
<v Speaker 1>it went that quickly crazy. From eighty nine to ninety five,

1471
01:15:25.600 --> 01:15:28.960
<v Speaker 1>it went from becoming a standardized thing to being what

1472
01:15:29.079 --> 01:15:32.079
<v Speaker 1>you would need to get a home loan. By two thousand,

1473
01:15:32.279 --> 01:15:35.119
<v Speaker 1>it was pretty much all you needed. Then we had

1474
01:15:35.159 --> 01:15:38.560
<v Speaker 1>the housing bubble happen, and now the good luck getting

1475
01:15:38.560 --> 01:15:42.039
<v Speaker 1>a home loan without a credit score. Good good fucking luck.

1476
01:15:42.159 --> 01:15:45.119
<v Speaker 1>But anyway you can't, no way, there's no fucking way.

1477
01:15:45.159 --> 01:15:47.000
<v Speaker 2>You can't get a car, You can't get anything. You

1478
01:15:47.159 --> 01:15:48.520
<v Speaker 2>have to have a credit score.

1479
01:15:48.439 --> 01:15:52.199
<v Speaker 1>Unless you're paying cash, unless you are coming with cash

1480
01:15:52.319 --> 01:15:52.800
<v Speaker 1>in hand.

1481
01:15:53.159 --> 01:15:55.000
<v Speaker 2>Than fun, I'm pretty sure you still have to have

1482
01:15:55.159 --> 01:15:57.479
<v Speaker 2>a like you still have to have a certain amount

1483
01:15:57.520 --> 01:15:58.199
<v Speaker 2>of credit score.

1484
01:15:58.960 --> 01:16:01.920
<v Speaker 1>I don't know, honestly, I've never bought a car out right.

1485
01:16:02.199 --> 01:16:05.359
<v Speaker 2>I'm I feel like you're supposed to have a specific

1486
01:16:05.479 --> 01:16:08.319
<v Speaker 2>at least some type of credit score. I don't know.

1487
01:16:09.119 --> 01:16:10.720
<v Speaker 2>That's maybe.

1488
01:16:11.479 --> 01:16:14.840
<v Speaker 1>As Fiico's influence grew, its business evolved, which started as

1489
01:16:14.840 --> 01:16:18.960
<v Speaker 1>a niche consulting outfit, morphed into a software scoring powerhouse.

1490
01:16:19.319 --> 01:16:21.640
<v Speaker 1>The company went public in nineteen eighty seven and rode

1491
01:16:21.640 --> 01:16:24.399
<v Speaker 1>a wave of adoption as banks, credit card issuers, and

1492
01:16:24.560 --> 01:16:28.840
<v Speaker 1>even government agencies embraced its tools. In a quirky anecdote,

1493
01:16:29.119 --> 01:16:33.079
<v Speaker 1>the IRS in the nineteen seventies used fiicos analytics to

1494
01:16:33.199 --> 01:16:39.199
<v Speaker 1>help identify tax evaders, illustrating how broadly applicable Fiico's model became. Yeah,

1495
01:16:39.239 --> 01:16:42.159
<v Speaker 1>the IRS and Fico, I know, as we're talking about

1496
01:16:42.199 --> 01:16:45.399
<v Speaker 1>the financial institutions. Oh, they have been intringed with each

1497
01:16:45.439 --> 01:16:49.600
<v Speaker 1>other since the seventies, even before credit scores became a

1498
01:16:49.640 --> 01:16:55.600
<v Speaker 1>widely used metric. The irs is already using Fico. Yeah so, anyway,

1499
01:16:55.640 --> 01:16:58.439
<v Speaker 1>through the nineteen nineties and two thousand, fair ISAAC, which

1500
01:16:58.479 --> 01:17:02.439
<v Speaker 1>eventually rebranded some as Fico, rolled out products beyond the

1501
01:17:02.479 --> 01:17:05.680
<v Speaker 1>classic credit score, from fraud detection systems for credit card

1502
01:17:05.760 --> 01:17:09.159
<v Speaker 1>transactions to marketing analytics that help banks cross sell to

1503
01:17:09.239 --> 01:17:12.279
<v Speaker 1>the right customers. But at its core, the Fico score

1504
01:17:12.359 --> 01:17:15.840
<v Speaker 1>remained the crown jewel. It seeped into American lexicon. What's

1505
01:17:15.840 --> 01:17:18.039
<v Speaker 1>your Fyco score? And now they don't even say that,

1506
01:17:18.119 --> 01:17:20.399
<v Speaker 1>it's just what your credit score, even though that's exactly

1507
01:17:20.479 --> 01:17:23.760
<v Speaker 1>what it means. It became a common phrase and customers

1508
01:17:23.800 --> 01:17:27.800
<v Speaker 1>began actively tracking that magic number. In twenty thirteen alone,

1509
01:17:28.199 --> 01:17:32.680
<v Speaker 1>lenders purchased over ten billion Fico scores to evaluate borrowers,

1510
01:17:32.960 --> 01:17:38.960
<v Speaker 1>a testament to how embedded Fyco's product had become twenty thirteen.

1511
01:17:39.680 --> 01:17:42.239
<v Speaker 1>And that's the thing. They're selling this to the banks.

1512
01:17:42.239 --> 01:17:45.159
<v Speaker 1>They're not giving this information, not giving these data analytics.

1513
01:17:45.760 --> 01:17:48.119
<v Speaker 1>They were running credit scores, which they had to pay

1514
01:17:48.199 --> 01:17:51.640
<v Speaker 1>Fico for. And all it is is arbitrary analytics that

1515
01:17:51.720 --> 01:17:55.119
<v Speaker 1>has nothing to do with the individual. It's just its algorithms.

1516
01:17:56.880 --> 01:17:59.199
<v Speaker 2>Oh my god, and everything is based on it.

1517
01:18:00.000 --> 01:18:02.880
<v Speaker 3>I didn't realize though, that everybody around you is impacting

1518
01:18:02.920 --> 01:18:03.640
<v Speaker 3>your credit story.

1519
01:18:03.680 --> 01:18:05.239
<v Speaker 2>I thought that was like a personal thing.

1520
01:18:05.640 --> 01:18:09.000
<v Speaker 1>No, no, it is everything other than you believe it

1521
01:18:09.079 --> 01:18:09.199
<v Speaker 1>or not.

1522
01:18:10.239 --> 01:18:11.319
<v Speaker 2>That's that's wild.

1523
01:18:11.760 --> 01:18:14.800
<v Speaker 1>So this is actually the fyco website right now. And again,

1524
01:18:15.439 --> 01:18:18.039
<v Speaker 1>Fico is not a lending institution. And again, before I

1525
01:18:18.079 --> 01:18:21.720
<v Speaker 1>started this research, I honestly didn't know. Fico is a

1526
01:18:21.920 --> 01:18:27.119
<v Speaker 1>lending analytics software company helping businesses in eighty plus countries

1527
01:18:27.199 --> 01:18:30.720
<v Speaker 1>make better decisions that drive higher levels of growth, profitability,

1528
01:18:30.960 --> 01:18:36.079
<v Speaker 1>and customer satisfaction. Not consumer satisfaction the bank who's using

1529
01:18:36.159 --> 01:18:42.279
<v Speaker 1>ficos satisfaction over eighty countries. So damn near half of

1530
01:18:42.319 --> 01:18:45.760
<v Speaker 1>the countries on Earth are using the fair and ISAAC

1531
01:18:45.880 --> 01:18:48.279
<v Speaker 1>companies numbers and analytics and data.

1532
01:18:48.720 --> 01:18:51.039
<v Speaker 2>So it's a global thing that they were impacting. Wow,

1533
01:18:51.119 --> 01:18:53.760
<v Speaker 2>that's yeah, just some off some bullshit numbers.

1534
01:18:54.199 --> 01:18:56.520
<v Speaker 1>So reading in here, it says powering decisions that help

1535
01:18:56.560 --> 01:19:01.079
<v Speaker 1>people and businesses around the world prosper FCO's roundbreaking use

1536
01:19:01.199 --> 01:19:05.600
<v Speaker 1>of big data and mathematical algorithms to predict consumer behavior

1537
01:19:05.680 --> 01:19:09.720
<v Speaker 1>has transformed entire industries. Goddamn right, it has. The company

1538
01:19:09.760 --> 01:19:12.960
<v Speaker 1>provides analytics, software and tools used across multiple industries to

1539
01:19:13.079 --> 01:19:16.800
<v Speaker 1>manage risk, fight fraud, build more profitable customer relationships. Again,

1540
01:19:17.279 --> 01:19:20.720
<v Speaker 1>by customer, they mean banks, not us, optimize operations, and

1541
01:19:20.760 --> 01:19:24.079
<v Speaker 1>meet strict government regulations. Many of our products reach industry

1542
01:19:24.119 --> 01:19:27.760
<v Speaker 1>wide at adoption, such as the FICO Score, the standard

1543
01:19:27.800 --> 01:19:31.119
<v Speaker 1>measure for consumer credit risk in the United States. Fyco

1544
01:19:31.239 --> 01:19:36.039
<v Speaker 1>Solution leverage open source standards and cloud computing to maximize flexibility,

1545
01:19:36.399 --> 01:19:40.199
<v Speaker 1>speed deployment, and reduce costs. The company also helps millions

1546
01:19:40.239 --> 01:19:44.079
<v Speaker 1>of people manage their personal credit health. By that, they mean,

1547
01:19:44.239 --> 01:19:45.920
<v Speaker 1>like you just did raven when you just pulled your

1548
01:19:45.960 --> 01:19:48.800
<v Speaker 1>credit score, that's all it was. Yeah, your bank just

1549
01:19:49.039 --> 01:19:53.840
<v Speaker 1>paid Fico for that number. Really, the banks don't have

1550
01:19:54.000 --> 01:19:56.680
<v Speaker 1>this just in house. They still have to use Fico

1551
01:19:56.800 --> 01:19:59.319
<v Speaker 1>for all of it. So every time you pull a

1552
01:19:59.359 --> 01:20:02.119
<v Speaker 1>credit score, Fico's getting a penny on the dollar on

1553
01:20:02.239 --> 01:20:05.119
<v Speaker 1>that on that information.

1554
01:20:05.319 --> 01:20:09.000
<v Speaker 3>Just be having a revolving credit score then, because like

1555
01:20:09.199 --> 01:20:11.520
<v Speaker 3>or just access to it, because you can go to

1556
01:20:11.600 --> 01:20:13.840
<v Speaker 3>your bank and it just is sitting there, You're able

1557
01:20:13.920 --> 01:20:16.199
<v Speaker 3>to just look at it. Now you can go into

1558
01:20:16.279 --> 01:20:17.720
<v Speaker 3>it and click on it and it'll break down some

1559
01:20:17.800 --> 01:20:21.319
<v Speaker 3>of the stuff and you get like messages actively from

1560
01:20:21.720 --> 01:20:25.199
<v Speaker 3>I think it's TransUnion that you get messages from, and

1561
01:20:25.319 --> 01:20:28.359
<v Speaker 3>that it tells you like, hey, you're laid on this, Hey,

1562
01:20:28.479 --> 01:20:29.600
<v Speaker 3>this got reported here.

1563
01:20:29.720 --> 01:20:30.439
<v Speaker 2>Hey this is this?

1564
01:20:31.079 --> 01:20:33.439
<v Speaker 1>I bet it's one of these three. Is it Equifax,

1565
01:20:33.560 --> 01:20:35.039
<v Speaker 1>Experience or TransUnion?

1566
01:20:35.920 --> 01:20:38.279
<v Speaker 3>TransUnion is normally the one that likes to talk to

1567
01:20:38.319 --> 01:20:40.640
<v Speaker 3>people the most. The other ones are more difficult to

1568
01:20:41.760 --> 01:20:43.680
<v Speaker 3>get a hold of. When you're trying to put like

1569
01:20:43.760 --> 01:20:46.479
<v Speaker 3>a freeze on your credit. Yeah, which is a whole

1570
01:20:46.560 --> 01:20:48.199
<v Speaker 3>thing in and of itself too, is you can put

1571
01:20:48.239 --> 01:20:49.880
<v Speaker 3>a you can call and put a freeze on your

1572
01:20:49.960 --> 01:20:54.479
<v Speaker 3>credit to avoid fraud. And so when you decide to

1573
01:20:54.560 --> 01:20:57.479
<v Speaker 3>do that, you can actually do a temporary one. You

1574
01:20:57.600 --> 01:20:59.520
<v Speaker 3>can do one where you call in and you can

1575
01:21:00.239 --> 01:21:02.199
<v Speaker 3>put it on and then you can release it for

1576
01:21:02.399 --> 01:21:04.800
<v Speaker 3>twenty four hours, and so in twenty four hours you're

1577
01:21:04.840 --> 01:21:07.479
<v Speaker 3>going to use it for some dot dot dot. There's

1578
01:21:07.520 --> 01:21:09.079
<v Speaker 3>a lot of different things that you can do. You

1579
01:21:09.159 --> 01:21:10.880
<v Speaker 3>can call them and talk to them about all sorts

1580
01:21:10.880 --> 01:21:13.159
<v Speaker 3>of stuff. I just happen to know because of that situation,

1581
01:21:13.439 --> 01:21:17.039
<v Speaker 3>I was really proactive and trying to not have fraud

1582
01:21:17.119 --> 01:21:17.880
<v Speaker 3>happen to me again.

1583
01:21:18.399 --> 01:21:22.439
<v Speaker 1>So here's the deal. Equifax, Experience, and TransUnion are the

1584
01:21:22.560 --> 01:21:26.760
<v Speaker 1>three major US credit bureaus or reporting agencies that collect

1585
01:21:26.800 --> 01:21:29.560
<v Speaker 1>your financial data like payment history, debts, and loans to

1586
01:21:29.760 --> 01:21:33.079
<v Speaker 1>create credit reports, which lenders use to assess your credit

1587
01:21:33.159 --> 01:21:36.399
<v Speaker 1>worthiness for loans, credit cards, and rentals, with each bureau

1588
01:21:36.479 --> 01:21:40.920
<v Speaker 1>maintaining slightly different information lending or leading to potentially varying

1589
01:21:40.960 --> 01:21:44.479
<v Speaker 1>credit scores. They are essentially your financial life, and you

1590
01:21:44.560 --> 01:21:47.760
<v Speaker 1>can get free copies of your reports annually, annually being

1591
01:21:47.880 --> 01:21:50.159
<v Speaker 1>once a year. Once a year you can get a

1592
01:21:50.199 --> 01:21:53.039
<v Speaker 1>free report without it dinging your credit right from each one.

1593
01:21:53.079 --> 01:21:54.840
<v Speaker 2>Hard It's a hard poll, is what it's called.

1594
01:21:55.079 --> 01:21:58.439
<v Speaker 1>But here's the deal. Here's how they generate your credit score.

1595
01:21:58.800 --> 01:22:03.239
<v Speaker 1>They use different algorithms like FCO or vantage score to

1596
01:22:03.399 --> 01:22:06.680
<v Speaker 1>calculate credit scores based on information in your reports, reflecting

1597
01:22:06.720 --> 01:22:09.880
<v Speaker 1>your credit risk. Again, very little of that has to

1598
01:22:09.960 --> 01:22:12.239
<v Speaker 1>do with you as an individual. All of it has

1599
01:22:12.279 --> 01:22:14.600
<v Speaker 1>to do with what the FICO algorithm told them.

1600
01:22:15.199 --> 01:22:15.800
<v Speaker 2>That's crazy.

1601
01:22:15.920 --> 01:22:19.600
<v Speaker 3>And then if you file bankruptcy, So you go to

1602
01:22:19.680 --> 01:22:22.199
<v Speaker 3>court and you file bankruptcy, there's like different chapters that

1603
01:22:22.279 --> 01:22:25.479
<v Speaker 3>you can file. Did you know that you actually still

1604
01:22:25.640 --> 01:22:28.760
<v Speaker 3>pay your monthly thing? And then the court is supposed

1605
01:22:28.800 --> 01:22:32.560
<v Speaker 3>to pay the companies, but a lot of times they don't.

1606
01:22:33.119 --> 01:22:36.000
<v Speaker 3>So even if you've been paying on time, the minium

1607
01:22:36.239 --> 01:22:39.279
<v Speaker 3>do and you decide, you know what, I'm too overwhelmed

1608
01:22:39.520 --> 01:22:41.560
<v Speaker 3>and I don't know if I'll be able to do this,

1609
01:22:42.119 --> 01:22:44.720
<v Speaker 3>and you go and you file a type of bankruptcy.

1610
01:22:46.039 --> 01:22:48.880
<v Speaker 3>You're still paying the bankruptcy court, but that money just

1611
01:22:49.000 --> 01:22:51.119
<v Speaker 3>kind of disappears into the ether if you don't go

1612
01:22:51.199 --> 01:22:52.119
<v Speaker 3>all the way through with it.

1613
01:22:52.600 --> 01:22:55.399
<v Speaker 1>It is a business move. That's why when people bring up,

1614
01:22:55.520 --> 01:22:58.399
<v Speaker 1>you know, Donald Trump file for bankruptcy four times, and

1615
01:22:58.560 --> 01:23:00.399
<v Speaker 1>it's like, okay, wait, wait, wait, wait wait one of

1616
01:23:00.479 --> 01:23:03.920
<v Speaker 1>his businesses declared bankruptcy four times. But that wasn't because

1617
01:23:03.960 --> 01:23:06.399
<v Speaker 1>it was a failed business venture. That was a play.

1618
01:23:06.880 --> 01:23:09.199
<v Speaker 1>That is what the wealthy elite do to get out

1619
01:23:09.239 --> 01:23:11.199
<v Speaker 1>of paying large sums. They pay a little bit here

1620
01:23:11.239 --> 01:23:12.920
<v Speaker 1>and there, and then they default and it goes off

1621
01:23:12.960 --> 01:23:13.960
<v Speaker 1>into the wind.

1622
01:23:15.439 --> 01:23:18.319
<v Speaker 3>Well, so no, the you still have to pay back

1623
01:23:18.399 --> 01:23:22.840
<v Speaker 3>these creditors, right, the creditors. You're paying the bank, you're

1624
01:23:22.920 --> 01:23:27.159
<v Speaker 3>paying the government the money that they're supposed to work

1625
01:23:27.199 --> 01:23:28.680
<v Speaker 3>with them to pay off all of this.

1626
01:23:28.840 --> 01:23:30.159
<v Speaker 2>And it's supposed to be a whole thing.

1627
01:23:31.399 --> 01:23:33.840
<v Speaker 3>I didn't, So there was a time when I looked

1628
01:23:33.880 --> 01:23:37.239
<v Speaker 3>into doing it, and I know some people that didn't

1629
01:23:37.319 --> 01:23:39.479
<v Speaker 3>go all the way through almost but they paid a

1630
01:23:39.600 --> 01:23:42.079
<v Speaker 3>bunch of money up front, like a couple thousand dollars

1631
01:23:42.159 --> 01:23:44.680
<v Speaker 3>upfront to continue paying the creditors.

1632
01:23:45.000 --> 01:23:48.880
<v Speaker 2>They sent the creditors a check for seven dollars or

1633
01:23:49.000 --> 01:23:51.520
<v Speaker 2>for no joke, a dollar twenty five.

1634
01:23:51.840 --> 01:23:53.800
<v Speaker 1>It was just some sort of payment, it didn't matter,

1635
01:23:54.279 --> 01:23:55.199
<v Speaker 1>it was in six months.

1636
01:23:55.239 --> 01:23:59.399
<v Speaker 3>But so that tanked their credit even worse then just

1637
01:23:59.520 --> 01:24:03.439
<v Speaker 3>having this quote unquote bankruptcy. So they pulled out last

1638
01:24:03.479 --> 01:24:05.920
<v Speaker 3>minute and they actually never went through the bankruptcy, but

1639
01:24:06.000 --> 01:24:08.199
<v Speaker 3>it still shows on their credit score today.

1640
01:24:08.880 --> 01:24:10.560
<v Speaker 1>But if it's after seven years.

1641
01:24:10.520 --> 01:24:12.800
<v Speaker 3>You've never got that never money, that money that they

1642
01:24:12.920 --> 01:24:15.479
<v Speaker 3>paid in never got given back to them, and it

1643
01:24:15.600 --> 01:24:17.680
<v Speaker 3>never got given to the credit score.

1644
01:24:17.560 --> 01:24:18.279
<v Speaker 2>The credit people.

1645
01:24:18.600 --> 01:24:20.920
<v Speaker 1>But if it's after seven years and it's no longer

1646
01:24:21.279 --> 01:24:23.600
<v Speaker 1>on your credit, but you still have to pay back

1647
01:24:23.640 --> 01:24:26.199
<v Speaker 1>that debt later on, but the instant even if you

1648
01:24:26.239 --> 01:24:28.600
<v Speaker 1>paid a one lump sum, now it's back on your

1649
01:24:28.680 --> 01:24:31.000
<v Speaker 1>credit and then it's it's yes, there's a process to

1650
01:24:31.079 --> 01:24:31.399
<v Speaker 1>this shit.

1651
01:24:31.439 --> 01:24:34.159
<v Speaker 3>And again charge off is the if you people can't

1652
01:24:34.279 --> 01:24:37.720
<v Speaker 3>pay the money that they're they owe. The charge off

1653
01:24:37.800 --> 01:24:40.960
<v Speaker 3>is where it's at. Yeah, really, so like the charge

1654
01:24:41.000 --> 01:24:45.000
<v Speaker 3>off is what the bank is willing to take. So, hey, look,

1655
01:24:45.159 --> 01:24:48.479
<v Speaker 3>I've paid this amount of money. I can't keep paying

1656
01:24:48.560 --> 01:24:51.479
<v Speaker 3>this twenty thousand dollars bill. What are you willing to

1657
01:24:51.640 --> 01:24:55.800
<v Speaker 3>take from me? In either I think it's either upfront

1658
01:24:56.039 --> 01:24:58.800
<v Speaker 3>or like three lump sums. What are you willing to

1659
01:24:58.960 --> 01:25:01.600
<v Speaker 3>take to get a least some money extracted from me?

1660
01:25:01.960 --> 01:25:03.720
<v Speaker 3>Then they'll charge you off and you can never open

1661
01:25:03.800 --> 01:25:05.319
<v Speaker 3>up a line of credit or credit card with that

1662
01:25:05.399 --> 01:25:08.199
<v Speaker 3>company again. And it says charge off on your report.

1663
01:25:08.640 --> 01:25:11.319
<v Speaker 3>But it's better than filing for bankruptcy. And there is

1664
01:25:11.359 --> 01:25:13.760
<v Speaker 3>a way to like actually work with them to pay

1665
01:25:13.880 --> 01:25:16.960
<v Speaker 3>that off instead of getting to where you're so screwed

1666
01:25:16.960 --> 01:25:19.079
<v Speaker 3>and you have all this debt that's behind and all that,

1667
01:25:19.359 --> 01:25:22.600
<v Speaker 3>because that actually hurts your credit score worse than if

1668
01:25:22.640 --> 01:25:24.279
<v Speaker 3>you just charge off the fucking thing.

1669
01:25:24.439 --> 01:25:26.520
<v Speaker 2>So it's it's a whole game.

1670
01:25:26.600 --> 01:25:28.600
<v Speaker 3>But nobody tells you about this, and nobody, I mean

1671
01:25:29.119 --> 01:25:31.520
<v Speaker 3>nobody even knows because you see all these different things

1672
01:25:31.560 --> 01:25:33.560
<v Speaker 3>that are happening with different people. Everyone's trying to do

1673
01:25:33.640 --> 01:25:38.279
<v Speaker 3>different things and I mean the bankruptcy conversation. It sounded

1674
01:25:38.359 --> 01:25:42.079
<v Speaker 3>so enticing when I was like in a real struggle

1675
01:25:42.159 --> 01:25:44.479
<v Speaker 3>in a point. Thankfully I didn't go through with it,

1676
01:25:44.640 --> 01:25:46.479
<v Speaker 3>But yeah, I know, I know a lot of people

1677
01:25:46.560 --> 01:25:48.720
<v Speaker 3>that have had to go through with those type of things.

1678
01:25:48.800 --> 01:25:51.640
<v Speaker 3>But the elites, they operate in their own system that

1679
01:25:51.800 --> 01:25:54.880
<v Speaker 3>doesn't apply. Whatever they do does not apply to us

1680
01:25:55.359 --> 01:25:55.880
<v Speaker 3>down below.

1681
01:25:56.359 --> 01:25:58.800
<v Speaker 2>So I don't think people realize that. The people are like, well,

1682
01:25:58.840 --> 01:25:59.960
<v Speaker 2>they do it, then why can't we do?

1683
01:26:00.479 --> 01:26:03.439
<v Speaker 3>Because my love, they're up here, yeah, up in the sky.

1684
01:26:03.800 --> 01:26:05.439
<v Speaker 3>Think of it like they're up in the sky and

1685
01:26:05.479 --> 01:26:07.720
<v Speaker 3>we're down here in the dirt. Like that's we're two

1686
01:26:07.760 --> 01:26:08.800
<v Speaker 3>different playing fields.

1687
01:26:08.880 --> 01:26:10.600
<v Speaker 1>Oh that's how they see it. That's for damn sure.

1688
01:26:10.880 --> 01:26:12.479
<v Speaker 1>And then again, oh yeah, weird.

1689
01:26:12.560 --> 01:26:12.840
<v Speaker 2>Nothing.

1690
01:26:13.159 --> 01:26:15.800
<v Speaker 1>They're not dealing with a Fico credit score. They don't

1691
01:26:15.800 --> 01:26:17.640
<v Speaker 1>have to worry about that, but we do. And there's

1692
01:26:17.680 --> 01:26:20.880
<v Speaker 1>pretty much no way to escape that. So Fico's fortune

1693
01:26:20.960 --> 01:26:24.199
<v Speaker 1>five hundred clients. Fiico's clients include more than half of

1694
01:26:24.279 --> 01:26:27.159
<v Speaker 1>the top one hundred banks in the world, not in

1695
01:26:27.159 --> 01:26:31.199
<v Speaker 1>the US, in the world, we are talking about the Rothschilds,

1696
01:26:31.239 --> 01:26:34.560
<v Speaker 1>we are talking about all these global banking conglomerates. All

1697
01:26:34.720 --> 01:26:37.760
<v Speaker 1>of them are using Fiico. More than six hundred personal

1698
01:26:37.840 --> 01:26:41.680
<v Speaker 1>and commercial line issuers in North America and Europe, including

1699
01:26:41.760 --> 01:26:45.960
<v Speaker 1>the top ten US personal line issuers, four hundred plus

1700
01:26:46.039 --> 01:26:49.560
<v Speaker 1>retailers and a general merchandisers, including one third of the

1701
01:26:49.640 --> 01:26:53.199
<v Speaker 1>top US retailers, are the top third of the top

1702
01:26:53.239 --> 01:26:57.000
<v Speaker 1>one hundred US retailers, ninety five of the one hundred

1703
01:26:57.119 --> 01:27:00.560
<v Speaker 1>largest financial institutions in the US, and all one hundred

1704
01:27:00.640 --> 01:27:02.800
<v Speaker 1>largest US credit card issuers and more.

1705
01:27:03.680 --> 01:27:05.760
<v Speaker 2>All of them, that's insane are.

1706
01:27:05.720 --> 01:27:09.279
<v Speaker 1>Using fight Goo. Yeah, because they see it as a

1707
01:27:09.319 --> 01:27:14.520
<v Speaker 1>way to streamline the approval or denial of loans in general.

1708
01:27:14.720 --> 01:27:17.640
<v Speaker 1>Which if it streamslines it time is money. It saves

1709
01:27:17.720 --> 01:27:20.039
<v Speaker 1>them money. It also gives them some sort of a

1710
01:27:21.319 --> 01:27:24.680
<v Speaker 1>legal shield in case someone tries to sue them for

1711
01:27:25.079 --> 01:27:30.199
<v Speaker 1>you know, unlawful practices or you know, discrimination or whatever else. Now,

1712
01:27:30.279 --> 01:27:34.000
<v Speaker 1>let's talk about the e CooA, the Equal Credit Opportunity Act.

1713
01:27:34.079 --> 01:27:36.279
<v Speaker 1>I pulled this up off of the Federal Trade Commission here,

1714
01:27:36.279 --> 01:27:37.960
<v Speaker 1>and just so we're all clear about what this is.

1715
01:27:38.600 --> 01:27:42.199
<v Speaker 1>This Act, Title seven of the Consumer Credit Protection Act,

1716
01:27:42.399 --> 01:27:47.039
<v Speaker 1>and I quote prohibits discrimination on the basis of race, color, religion,

1717
01:27:47.359 --> 01:27:52.319
<v Speaker 1>national origin, sex, marital status, age, receipt of public assistance,

1718
01:27:52.960 --> 01:27:56.560
<v Speaker 1>or good faith exercise of any rights under the Consumer

1719
01:27:56.640 --> 01:28:00.840
<v Speaker 1>Credit Protection Act. The Act also requires creditors to provide applicants,

1720
01:28:00.960 --> 01:28:05.600
<v Speaker 1>upon request, with the reasons underlying decisions to deny credit.

1721
01:28:06.319 --> 01:28:09.960
<v Speaker 1>The Dodd Frank Act added, among other things, a requirement

1722
01:28:10.039 --> 01:28:13.680
<v Speaker 1>that creditors provide two applicants a copy of all appraisals

1723
01:28:13.880 --> 01:28:17.000
<v Speaker 1>and other written valuations used in connection with the applicants

1724
01:28:17.039 --> 01:28:20.880
<v Speaker 1>application for the first lean loans secured by a dwelling. Okay,

1725
01:28:20.920 --> 01:28:23.119
<v Speaker 1>so here's the thing we need to take away on

1726
01:28:23.199 --> 01:28:27.199
<v Speaker 1>this one. All this meant is that they can't deny

1727
01:28:27.319 --> 01:28:30.439
<v Speaker 1>you based off of some arbitrary thing. They have to

1728
01:28:30.680 --> 01:28:35.760
<v Speaker 1>provide you with the reasons underlying their decisions to deny credit.

1729
01:28:36.520 --> 01:28:40.359
<v Speaker 1>This specifically is when the banks were like, wait a minute,

1730
01:28:40.720 --> 01:28:43.920
<v Speaker 1>those guys out in California, they made that number thing.

1731
01:28:44.000 --> 01:28:44.319
<v Speaker 2>What was that?

1732
01:28:44.640 --> 01:28:47.039
<v Speaker 1>It's a scale from three hundred to eight hundred, and

1733
01:28:48.039 --> 01:28:50.560
<v Speaker 1>we could just use that and it would take away

1734
01:28:50.840 --> 01:28:54.199
<v Speaker 1>all of the legal precedents to say, why this young

1735
01:28:54.279 --> 01:28:57.159
<v Speaker 1>black couple was denied a home mortgage, Well, that's because

1736
01:28:57.199 --> 01:28:59.199
<v Speaker 1>you have a low credit score. Well why do we

1737
01:28:59.239 --> 01:29:00.960
<v Speaker 1>have a low credit score where I make good money,

1738
01:29:01.000 --> 01:29:03.000
<v Speaker 1>I pay my bills, I do this allics, And you

1739
01:29:03.079 --> 01:29:05.000
<v Speaker 1>need to get with one of these credit bureaus and

1740
01:29:05.079 --> 01:29:07.079
<v Speaker 1>you need to try to up your credit score and

1741
01:29:07.159 --> 01:29:08.560
<v Speaker 1>come back to us in a couple of months and

1742
01:29:08.600 --> 01:29:11.439
<v Speaker 1>maybe we'll make something happen. You see what I'm saying.

1743
01:29:12.359 --> 01:29:16.840
<v Speaker 3>Yeah, yeah, that's correct. This is the crazy, crazy little

1744
01:29:17.119 --> 01:29:19.039
<v Speaker 3>thing that I didn't even know about. To be honest

1745
01:29:19.079 --> 01:29:19.720
<v Speaker 3>with you, and.

1746
01:29:19.760 --> 01:29:22.680
<v Speaker 1>Then to tie this in, are the credit bureaus selling

1747
01:29:22.760 --> 01:29:26.760
<v Speaker 1>your data? Yes, credit bureaus sell your data and this

1748
01:29:27.000 --> 01:29:31.199
<v Speaker 1>practice is legal under the Fair Credit Reporting Act. So

1749
01:29:31.359 --> 01:29:36.000
<v Speaker 1>whenever the credit bureaus report your data, not your payment,

1750
01:29:36.079 --> 01:29:40.079
<v Speaker 1>hit with your data to the local insurance companies and

1751
01:29:40.199 --> 01:29:44.199
<v Speaker 1>to local online sales groups and advertisement agencies and all

1752
01:29:44.199 --> 01:29:47.439
<v Speaker 1>of these things, this is all legal under the Fair

1753
01:29:47.560 --> 01:29:50.800
<v Speaker 1>Credit Reporting Act. It's all within the fine print here.

1754
01:29:51.319 --> 01:29:54.399
<v Speaker 1>They primarily sell it to lenders and other businesses. Other

1755
01:29:54.560 --> 01:30:01.039
<v Speaker 1>businesses for permissible purposes, that is, in quotations they uh

1756
01:30:01.199 --> 01:30:06.000
<v Speaker 1>such as evaluating applications for credit insurance or employment, and

1757
01:30:06.199 --> 01:30:09.560
<v Speaker 1>for marketing offers to you have been pre screened for.

1758
01:30:10.600 --> 01:30:11.880
<v Speaker 2>So how do you think this is going to tie

1759
01:30:11.920 --> 01:30:14.479
<v Speaker 2>into the whole situation that's happening in the UK with

1760
01:30:15.079 --> 01:30:19.199
<v Speaker 2>them pushing for virtual money, Like they're just gonna get

1761
01:30:19.279 --> 01:30:20.399
<v Speaker 2>rid of the dollar pretty.

1762
01:30:20.199 --> 01:30:22.119
<v Speaker 1>Much, so it's gonna fuck them harder.

1763
01:30:22.920 --> 01:30:25.760
<v Speaker 3>It's because like if they're if they're using fico pretty

1764
01:30:25.800 --> 01:30:29.760
<v Speaker 3>much globally and they're basing all of our information off

1765
01:30:29.800 --> 01:30:31.840
<v Speaker 3>of people around us. What if you live in a

1766
01:30:31.960 --> 01:30:34.279
<v Speaker 3>high end area but you're super poor and the person

1767
01:30:34.359 --> 01:30:36.399
<v Speaker 3>next to you super rich, and the person on the

1768
01:30:36.439 --> 01:30:39.239
<v Speaker 3>other side of the median, Like, what what is that

1769
01:30:39.399 --> 01:30:42.159
<v Speaker 3>going to look like for all three of those families,

1770
01:30:42.359 --> 01:30:45.479
<v Speaker 3>Because it's going to just change screw up everybody's credit

1771
01:30:45.880 --> 01:30:48.279
<v Speaker 3>sucks the sac on top of that, they can shut

1772
01:30:48.439 --> 01:30:50.680
<v Speaker 3>this off, like what if you're too much of a risk, Okay,

1773
01:30:50.760 --> 01:30:53.119
<v Speaker 3>well just we're just gonna deny you food. Then I

1774
01:30:53.199 --> 01:30:56.560
<v Speaker 3>guess because you're not playing along in X, Y and Z,

1775
01:30:56.720 --> 01:30:57.680
<v Speaker 3>your political.

1776
01:30:57.359 --> 01:31:00.800
<v Speaker 2>Views are crazy. But don't worry, fyco. Your credit score

1777
01:31:00.920 --> 01:31:03.319
<v Speaker 2>is just shit because you know you haven't paid your

1778
01:31:03.359 --> 01:31:05.119
<v Speaker 2>bills correctly, and it's.

1779
01:31:05.000 --> 01:31:07.439
<v Speaker 1>Not even you. It might just be people in your

1780
01:31:07.560 --> 01:31:10.680
<v Speaker 1>quote unquote demographic that haven't paid their bills, your area,

1781
01:31:10.840 --> 01:31:14.199
<v Speaker 1>your race, your your age bracket, your line of work,

1782
01:31:14.279 --> 01:31:16.920
<v Speaker 1>whatever the case is, right, but don't worry Raven. Religion,

1783
01:31:17.199 --> 01:31:20.880
<v Speaker 1>it could be, but don't worry Raven. They have social

1784
01:31:20.960 --> 01:31:23.800
<v Speaker 1>programs funded by the state, So even if you can't

1785
01:31:23.800 --> 01:31:27.000
<v Speaker 1>afford to feed your family, don't worry. Uncle Sam will

1786
01:31:27.000 --> 01:31:29.039
<v Speaker 1>take care of You're in the UK, I guess jolly

1787
01:31:29.079 --> 01:31:32.439
<v Speaker 1>old King will take care of you. And it's just

1788
01:31:32.800 --> 01:31:35.279
<v Speaker 1>gonna be a thing where you're gonna rely more heavily

1789
01:31:35.399 --> 01:31:38.239
<v Speaker 1>on the state to afford everything, and you're gonna have

1790
01:31:38.319 --> 01:31:40.800
<v Speaker 1>to just suckle at the government's teat to survive. And

1791
01:31:40.880 --> 01:31:41.760
<v Speaker 1>that's the whole goal.

1792
01:31:43.239 --> 01:31:45.399
<v Speaker 2>So they can feed you like you know, bugs and

1793
01:31:45.520 --> 01:31:47.079
<v Speaker 2>slop and call it food.

1794
01:31:47.640 --> 01:31:50.720
<v Speaker 1>Yeah actually, yeah, yeah, it's like snow piercer.

1795
01:31:50.880 --> 01:31:52.000
<v Speaker 2>But like, we're not on a train.

1796
01:31:52.800 --> 01:31:55.840
<v Speaker 1>So how is your shit?

1797
01:31:56.760 --> 01:31:58.000
<v Speaker 2>So how do we really think about it?

1798
01:31:58.039 --> 01:32:00.920
<v Speaker 1>It's like hmm okay, So how is your data sold?

1799
01:32:01.239 --> 01:32:05.600
<v Speaker 1>The major credit bureaus Experience, TransUnion and Equalfax and inovis

1800
01:32:05.840 --> 01:32:08.359
<v Speaker 1>for anybody who uses that one collect vast amounts of

1801
01:32:08.399 --> 01:32:11.479
<v Speaker 1>personal and financial information and package it for sale to

1802
01:32:11.720 --> 01:32:15.159
<v Speaker 1>third parties trigger leads. So when you apply for a loan,

1803
01:32:15.359 --> 01:32:18.760
<v Speaker 1>a mortgage or auto loan, the inquiry on your report,

1804
01:32:18.960 --> 01:32:22.239
<v Speaker 1>triggers quote unquote the bureau to sell your information as

1805
01:32:22.319 --> 01:32:26.039
<v Speaker 1>a trigger lead to other lenders. These other companies then

1806
01:32:26.159 --> 01:32:29.680
<v Speaker 1>contact you with competing offers via phone, email, and mail.

1807
01:32:30.239 --> 01:32:32.199
<v Speaker 1>So there's pre screened offers like you talked about, and

1808
01:32:32.199 --> 01:32:35.399
<v Speaker 1>then there's other business purposes. But but how do you

1809
01:32:35.520 --> 01:32:38.319
<v Speaker 1>stop the sale of your data? There is opt out

1810
01:32:38.399 --> 01:32:41.920
<v Speaker 1>of pre screened offers. There is websites you can go to.

1811
01:32:42.279 --> 01:32:44.640
<v Speaker 1>There's phone numbers that you can call, and one of

1812
01:32:44.680 --> 01:32:47.319
<v Speaker 1>them is opt out prescreen dot com. There's a total

1813
01:32:47.359 --> 01:32:50.439
<v Speaker 1>free number as well. You can choose to temporarily opt

1814
01:32:50.520 --> 01:32:53.560
<v Speaker 1>out for five years or a permanent one. It requires

1815
01:32:53.640 --> 01:32:57.279
<v Speaker 1>mailing and assigned confirmation form. But you can fight the

1816
01:32:57.319 --> 01:32:59.720
<v Speaker 1>good fight and get your data to not be sold

1817
01:32:59.760 --> 01:33:03.600
<v Speaker 1>by your credit bureaus. But more often than not, people

1818
01:33:03.640 --> 01:33:06.880
<v Speaker 1>don't know about this. So for the vast majority of

1819
01:33:06.960 --> 01:33:10.960
<v Speaker 1>people experience TransUnion and equal effects have been selling your

1820
01:33:11.000 --> 01:33:15.960
<v Speaker 1>financial data, your address, your income, your all the things,

1821
01:33:16.239 --> 01:33:17.399
<v Speaker 1>all your shopping.

1822
01:33:17.079 --> 01:33:17.960
<v Speaker 2>Hair adventures.

1823
01:33:18.039 --> 01:33:19.479
<v Speaker 1>Oh yeah, all of it. Can they can sell?

1824
01:33:19.800 --> 01:33:22.279
<v Speaker 2>I mean like you can look.

1825
01:33:22.239 --> 01:33:26.000
<v Speaker 3>At Chase Bank will break down your expenditures and it

1826
01:33:26.039 --> 01:33:28.159
<v Speaker 3>will break it into categories and I'll give you like

1827
01:33:28.239 --> 01:33:30.119
<v Speaker 3>a nice little pie chart and give you all the

1828
01:33:30.159 --> 01:33:32.600
<v Speaker 3>sorts of stuff of you know, hey, you spent x

1829
01:33:32.640 --> 01:33:34.920
<v Speaker 3>amount of money on entertainment, you spent x amount of

1830
01:33:34.920 --> 01:33:37.399
<v Speaker 3>money on restaurants, you spent x amount of money on groceries,

1831
01:33:37.520 --> 01:33:41.119
<v Speaker 3>others this, that, and then Chase loves to sell your data.

1832
01:33:41.279 --> 01:33:43.960
<v Speaker 3>Oh yeah, because it links to all sorts of stuff

1833
01:33:44.000 --> 01:33:47.199
<v Speaker 3>and you can actually see where it talks. It tells you, hey,

1834
01:33:47.640 --> 01:33:50.520
<v Speaker 3>you know, we're sending this over here to optimize your

1835
01:33:50.680 --> 01:33:52.840
<v Speaker 3>consumer I forget the way they.

1836
01:33:52.760 --> 01:33:54.600
<v Speaker 1>Put it, but it's pretty much consumer profile.

1837
01:33:55.079 --> 01:33:57.960
<v Speaker 3>Yeah, your consumer profile, and it's this and that, and

1838
01:33:58.000 --> 01:34:00.720
<v Speaker 3>it's I mean, I get it. Like most people don't

1839
01:34:00.720 --> 01:34:03.439
<v Speaker 3>really give a shit because like, okay, they're tracking every

1840
01:34:03.560 --> 01:34:06.399
<v Speaker 3>single thing about us. But I wonder, as we're shifting

1841
01:34:06.439 --> 01:34:11.199
<v Speaker 3>into the age of serious AI potential control and everything's

1842
01:34:11.239 --> 01:34:13.399
<v Speaker 3>going to be linked together, and our entire lives is

1843
01:34:13.439 --> 01:34:17.319
<v Speaker 3>going to be linked to whatever we do via you know, spending,

1844
01:34:17.439 --> 01:34:20.760
<v Speaker 3>social score, political views, all of that.

1845
01:34:21.279 --> 01:34:24.239
<v Speaker 2>I wonder how much this FICO score is going to

1846
01:34:24.279 --> 01:34:24.760
<v Speaker 2>play into this.

1847
01:34:25.159 --> 01:34:28.880
<v Speaker 1>Oh, I think it's going to be heavily involved. Heavily involved.

1848
01:34:29.399 --> 01:34:31.560
<v Speaker 2>Maybe if the fifteen minute cities get up and running.

1849
01:34:31.560 --> 01:34:32.800
<v Speaker 2>They're going to move people into.

1850
01:34:32.720 --> 01:34:36.479
<v Speaker 1>Categories or they'll guarantee you. Basically, you moved into a

1851
01:34:36.560 --> 01:34:38.920
<v Speaker 1>fifteen minute city. Well there's an extra two hundred and

1852
01:34:39.000 --> 01:34:40.359
<v Speaker 1>fifty points on your credit.

1853
01:34:40.159 --> 01:34:44.520
<v Speaker 3>Score maybe if they can get put into certain locations.

1854
01:34:44.560 --> 01:34:47.159
<v Speaker 3>So like this is the eight hundred score area.

1855
01:34:47.359 --> 01:34:48.319
<v Speaker 2>This is this area.

1856
01:34:48.800 --> 01:34:50.560
<v Speaker 3>Like all of these scenes are driven, kind of like

1857
01:34:50.600 --> 01:34:52.520
<v Speaker 3>when you're in school and you get driven to want

1858
01:34:52.560 --> 01:34:55.199
<v Speaker 3>to get that A plus because you get actually you

1859
01:34:55.319 --> 01:34:57.720
<v Speaker 3>get a candy or you get five minutes extra at recess.

1860
01:34:57.920 --> 01:35:00.199
<v Speaker 3>So hey, if you do X, Y and Z, you

1861
01:35:00.279 --> 01:35:03.039
<v Speaker 3>get moved up in the bracket. This comes with these

1862
01:35:03.199 --> 01:35:05.720
<v Speaker 3>benefits and look you're in a fifty minute city. So

1863
01:35:05.840 --> 01:35:07.239
<v Speaker 3>then they all link together.

1864
01:35:07.680 --> 01:35:09.199
<v Speaker 1>Yep, it's smart.

1865
01:35:09.399 --> 01:35:11.039
<v Speaker 2>I'll give them that. It's really intelligent.

1866
01:35:11.319 --> 01:35:13.920
<v Speaker 1>So now let's go to park pocket guard here. When

1867
01:35:14.000 --> 01:35:17.680
<v Speaker 1>we're credit Scores invented a complete history of credit scoring. So,

1868
01:35:18.119 --> 01:35:20.840
<v Speaker 1>believe it or not, credit goes back, at least what

1869
01:35:20.960 --> 01:35:22.800
<v Speaker 1>we know of credits today actually goes back to the

1870
01:35:22.840 --> 01:35:25.520
<v Speaker 1>eighteen hundreds. The FICO score didn't come around to the

1871
01:35:25.600 --> 01:35:28.479
<v Speaker 1>nineteen fifties, but it's not the eighteen hundreds. In the

1872
01:35:28.520 --> 01:35:30.399
<v Speaker 1>way you would think it was like in eighteen forty one,

1873
01:35:30.439 --> 01:35:32.479
<v Speaker 1>and it was in England. But we're good to I

1874
01:35:32.640 --> 01:35:35.039
<v Speaker 1>was right though, you were right right. But like I said,

1875
01:35:35.079 --> 01:35:36.760
<v Speaker 1>credit score is different than credit.

1876
01:35:37.560 --> 01:35:39.840
<v Speaker 3>That's true, that's true. I knew credit though, was around

1877
01:35:39.880 --> 01:35:40.880
<v Speaker 3>the eighteen hundreds.

1878
01:35:40.960 --> 01:35:43.159
<v Speaker 1>So absolutely, So let's get into it here. So credit

1879
01:35:43.239 --> 01:35:45.560
<v Speaker 1>scores play a big role in our money lives today.

1880
01:35:45.920 --> 01:35:48.319
<v Speaker 1>The affect whether we get approved for home loans, car loans,

1881
01:35:48.399 --> 01:35:50.840
<v Speaker 1>or even apartments. But when did credit score start and

1882
01:35:51.000 --> 01:35:54.119
<v Speaker 1>what did people use before this system? Learning about the

1883
01:35:54.199 --> 01:35:56.800
<v Speaker 1>credit score history helps us understand how we move from

1884
01:35:56.840 --> 01:36:00.800
<v Speaker 1>personal opinions to computer based scoring. So when did they start?

1885
01:36:00.880 --> 01:36:03.720
<v Speaker 1>The first credit score came out in nineteen eighty nine. However,

1886
01:36:03.800 --> 01:36:06.399
<v Speaker 1>the idea of checking if someone could pay back money

1887
01:36:06.439 --> 01:36:09.439
<v Speaker 1>has been around much longer. The three big the three

1888
01:36:09.479 --> 01:36:12.159
<v Speaker 1>big credit reporting companies worked with Fico to create what

1889
01:36:12.239 --> 01:36:14.920
<v Speaker 1>we now call a credit score. The first widely used

1890
01:36:14.920 --> 01:36:17.439
<v Speaker 1>Fiico score was launched in nineteen eighty nine. We talked

1891
01:36:17.439 --> 01:36:20.600
<v Speaker 1>about that this change was huge for how banks looked

1892
01:36:20.640 --> 01:36:22.920
<v Speaker 1>at bar wars. Instead of making choices based off of

1893
01:36:23.039 --> 01:36:26.640
<v Speaker 1>personal feelings or biases, they started using number based systems

1894
01:36:26.680 --> 01:36:29.720
<v Speaker 1>that worked the same way for everyone allegedly, even though

1895
01:36:29.760 --> 01:36:33.119
<v Speaker 1>that's not exactly accurate. So what people used before credit scores,

1896
01:36:33.439 --> 01:36:36.119
<v Speaker 1>before credit scores existed, getting a loan was very different.

1897
01:36:36.399 --> 01:36:38.840
<v Speaker 1>What was used before them was a Lenders looked at

1898
01:36:38.880 --> 01:36:42.960
<v Speaker 1>things like what other people said about you, your payment record,

1899
01:36:43.239 --> 01:36:47.000
<v Speaker 1>your character, and sometimes they even visited your home. People

1900
01:36:47.039 --> 01:36:48.920
<v Speaker 1>who wanted loans had to meet with lender's face to

1901
01:36:48.960 --> 01:36:51.039
<v Speaker 1>face and try to convince them that they were trustworthy.

1902
01:36:51.560 --> 01:36:53.640
<v Speaker 1>This old way took a lot of time and had

1903
01:36:53.760 --> 01:36:57.520
<v Speaker 1>many problems. Decisions often depended on who you knew or

1904
01:36:57.640 --> 01:37:01.079
<v Speaker 1>social status, and sadly you're the race or gender. This

1905
01:37:01.279 --> 01:37:04.680
<v Speaker 1>made the system unfair for many people. So credit reporting

1906
01:37:05.119 --> 01:37:08.239
<v Speaker 1>started in eighteen forty one. So people tried to make

1907
01:37:08.279 --> 01:37:11.520
<v Speaker 1>this process better As early as eighteen forty one. After

1908
01:37:11.600 --> 01:37:15.319
<v Speaker 1>the money crisis of eighteen thirty seven, which happened partly

1909
01:37:15.399 --> 01:37:19.000
<v Speaker 1>because credit was too easy to get, Lewis Tappan or

1910
01:37:19.079 --> 01:37:21.920
<v Speaker 1>Tapin' I don't know, saw that businesses needed a better

1911
01:37:22.000 --> 01:37:26.000
<v Speaker 1>way to decide who invented credit decisions? Yeah, So in

1912
01:37:26.079 --> 01:37:30.239
<v Speaker 1>eighteen forty one he started Tapin's Mercantile Agency, the first

1913
01:37:30.319 --> 01:37:34.359
<v Speaker 1>credit reporting company in America. Before there was credit scoring,

1914
01:37:34.439 --> 01:37:37.279
<v Speaker 1>there was a business credit reporting. This was different from

1915
01:37:37.359 --> 01:37:42.600
<v Speaker 1>checking individuals individual people's credit risk. Business credit reporting helped

1916
01:37:42.640 --> 01:37:46.039
<v Speaker 1>store owners figure out if other businesses could pay their bills.

1917
01:37:46.479 --> 01:37:49.439
<v Speaker 1>In eighteen forty one, the Mercantile Agency asked people across

1918
01:37:49.560 --> 01:37:52.600
<v Speaker 1>the country for information to organize a bar wars quote

1919
01:37:52.680 --> 01:37:57.319
<v Speaker 1>unquote character and money. But this information was too personal

1920
01:37:57.399 --> 01:38:00.840
<v Speaker 1>and often showed unfair opinions about race, class, and gender.

1921
01:38:01.399 --> 01:38:04.199
<v Speaker 1>So why was the credit scores invented? We talked about

1922
01:38:04.199 --> 01:38:06.560
<v Speaker 1>that already, but you know, just giving it over here,

1923
01:38:07.279 --> 01:38:10.399
<v Speaker 1>getting rid of the old of the personal biases. Always

1924
01:38:10.439 --> 01:38:13.039
<v Speaker 1>of checking credit, we're heavily influenced by a personal relationship,

1925
01:38:13.159 --> 01:38:16.359
<v Speaker 1>social class, race, and gender. Credit scoring systems were built

1926
01:38:16.399 --> 01:38:20.039
<v Speaker 1>to make more fair and standard checks, making things faster.

1927
01:38:20.479 --> 01:38:22.880
<v Speaker 1>Checking credit by hand took too long and cost too

1928
01:38:22.960 --> 01:38:26.880
<v Speaker 1>much money. Automatic scoring systems let lenders handle applicants much

1929
01:38:27.000 --> 01:38:29.560
<v Speaker 1>faster and cheaper. I mean, think about that too. If

1930
01:38:29.560 --> 01:38:31.800
<v Speaker 1>you were a loan officer at a bank, and depending

1931
01:38:31.840 --> 01:38:34.159
<v Speaker 1>on the status of the loans that you were approving,

1932
01:38:34.760 --> 01:38:37.079
<v Speaker 1>you might only get two or three of those done

1933
01:38:37.119 --> 01:38:39.560
<v Speaker 1>in a day. Now, with a credit score, it's I

1934
01:38:39.640 --> 01:38:41.840
<v Speaker 1>mean as soon as you could pull that number and

1935
01:38:41.920 --> 01:38:45.039
<v Speaker 1>see if it's above a certain amount, then cool. If not, well,

1936
01:38:45.159 --> 01:38:46.960
<v Speaker 1>too bad. So sad, here's the print out. Get out

1937
01:38:46.960 --> 01:38:47.439
<v Speaker 1>of my office.

1938
01:38:48.319 --> 01:38:51.319
<v Speaker 2>I mean, the algorithm though, tells them yes or no, exactly.

1939
01:38:51.319 --> 01:38:53.399
<v Speaker 2>It's not even. It's not even not to the people anymore.

1940
01:38:53.479 --> 01:38:54.199
<v Speaker 2>They have no say.

1941
01:38:54.279 --> 01:38:56.560
<v Speaker 3>It's about the algorithm. It takes all of your information,

1942
01:38:56.720 --> 01:39:00.359
<v Speaker 3>it generates it through and then it decides if you're worth.

1943
01:39:00.199 --> 01:39:00.520
<v Speaker 2>It or not.

1944
01:39:00.960 --> 01:39:03.119
<v Speaker 3>Because it's gonna like if you buy a car, it

1945
01:39:03.239 --> 01:39:07.000
<v Speaker 3>tells them all three of the different scores and then

1946
01:39:07.039 --> 01:39:09.960
<v Speaker 3>it averages them out, and then it debates about if

1947
01:39:10.159 --> 01:39:12.520
<v Speaker 3>the then it gets sold to the banks in whichever

1948
01:39:12.640 --> 01:39:15.359
<v Speaker 3>bank decides that maybe you're worth it or not is

1949
01:39:15.439 --> 01:39:16.560
<v Speaker 3>the ones that will pick it up.

1950
01:39:16.600 --> 01:39:18.560
<v Speaker 2>And if there are no banks that are wanting you,

1951
01:39:18.640 --> 01:39:19.680
<v Speaker 2>then you don't get to buy a car.

1952
01:39:19.840 --> 01:39:22.039
<v Speaker 3>But some of the banks will be like, okay, i'll

1953
01:39:22.119 --> 01:39:25.319
<v Speaker 3>take it, but your interest rate is like sixty two percent,

1954
01:39:25.520 --> 01:39:28.319
<v Speaker 3>Like it's right, they can, and they'll bump the interest

1955
01:39:28.399 --> 01:39:31.079
<v Speaker 3>right up because of your credit score, because it's not

1956
01:39:31.199 --> 01:39:35.119
<v Speaker 3>good enough and you have stuff deming your credit report,

1957
01:39:35.359 --> 01:39:35.640
<v Speaker 3>and so.

1958
01:39:37.119 --> 01:39:39.520
<v Speaker 2>You know, it's it's a whole thing it is so.

1959
01:39:39.640 --> 01:39:42.760
<v Speaker 1>For anybody who didn't know. FICO scores ranged from three

1960
01:39:42.920 --> 01:39:46.279
<v Speaker 1>hundred to eight fifty. Higher numbers show better ability to

1961
01:39:46.359 --> 01:39:48.840
<v Speaker 1>pay back loans, and this scoring system has become the

1962
01:39:48.960 --> 01:39:52.319
<v Speaker 1>industry standard used in most lending decisions today, and not

1963
01:39:52.439 --> 01:39:54.720
<v Speaker 1>just on a personal level, even a business level. So

1964
01:39:55.000 --> 01:39:57.399
<v Speaker 1>do other countries have credit scores? We just talked about that.

1965
01:39:57.560 --> 01:40:00.199
<v Speaker 1>FICO is in eighty plus countries, but I'll bring a

1966
01:40:00.199 --> 01:40:02.439
<v Speaker 1>couple of them here. The United Kingdom uses credit scores

1967
01:40:02.680 --> 01:40:05.880
<v Speaker 1>from companies like Experience, Equal Facts and TransUnion, but with

1968
01:40:06.000 --> 01:40:09.079
<v Speaker 1>different number ranges. Canada has a similar system to the

1969
01:40:09.199 --> 01:40:11.800
<v Speaker 1>United States, but with their scoring ranges from three hundred

1970
01:40:11.840 --> 01:40:12.680
<v Speaker 1>to nine hundred.

1971
01:40:13.239 --> 01:40:16.760
<v Speaker 2>Germany uses other people had some do I know, I

1972
01:40:16.800 --> 01:40:18.680
<v Speaker 2>thought this was an American thing. I'm not gonna lie

1973
01:40:18.680 --> 01:40:20.000
<v Speaker 2>to you. I mean I felt like there was some

1974
01:40:20.199 --> 01:40:22.439
<v Speaker 2>type of something for other countries. I just didn't know

1975
01:40:22.520 --> 01:40:24.960
<v Speaker 2>that it was FICO in particular.

1976
01:40:24.880 --> 01:40:27.920
<v Speaker 1>Basically, I mean, but they they might call it something else,

1977
01:40:28.000 --> 01:40:33.039
<v Speaker 1>like for instance, in Germany they use SHUFA sc CHUFA scoring,

1978
01:40:33.399 --> 01:40:35.720
<v Speaker 1>but it's still using fika's data. So I mean, it

1979
01:40:35.800 --> 01:40:38.039
<v Speaker 1>is what it is, and it works differently from the

1980
01:40:38.159 --> 01:40:40.479
<v Speaker 1>US system, but it's still pretty much the same thing.

1981
01:40:40.520 --> 01:40:41.880
<v Speaker 1>It works a little different as far as the numbers

1982
01:40:41.880 --> 01:40:45.920
<v Speaker 1>are concerned. Australia has detailed credit reporting with multiple credit agencies,

1983
01:40:46.239 --> 01:40:49.119
<v Speaker 1>so again this is being used for uh. This is

1984
01:40:49.319 --> 01:40:52.920
<v Speaker 1>how credit scores changed modern life. Since they started in

1985
01:40:52.960 --> 01:40:55.720
<v Speaker 1>eighty nine, credit scores have completely changed how Americans get

1986
01:40:55.800 --> 01:41:00.159
<v Speaker 1>credit and financial services. They have become key factors in

1987
01:41:00.399 --> 01:41:05.359
<v Speaker 1>home loans, credit card applications, apartment riddles, insurance cost. Yes,

1988
01:41:05.920 --> 01:41:08.960
<v Speaker 1>your credit score matters in the realm of how much

1989
01:41:09.119 --> 01:41:12.920
<v Speaker 1>insurance you pay. Job screening. I have had my credit

1990
01:41:13.000 --> 01:41:16.359
<v Speaker 1>pulled multiple times when I got jobs for different plants

1991
01:41:16.399 --> 01:41:19.800
<v Speaker 1>and refineries. Yes, because they need to know. Oh yeah,

1992
01:41:20.079 --> 01:41:22.760
<v Speaker 1>because this this, and I had it broken down for

1993
01:41:22.840 --> 01:41:25.880
<v Speaker 1>me like this. The company needs to know if you're

1994
01:41:25.960 --> 01:41:28.880
<v Speaker 1>the type of guy or girl that goes out and

1995
01:41:29.000 --> 01:41:31.760
<v Speaker 1>makes a bunch of purchases that you can't back and

1996
01:41:31.920 --> 01:41:34.880
<v Speaker 1>now you're gonna be coming to work worried about other

1997
01:41:35.000 --> 01:41:37.880
<v Speaker 1>things other than work, or you're gonna be trying to,

1998
01:41:39.159 --> 01:41:41.760
<v Speaker 1>you know, take out loans and use certain things as collateral,

1999
01:41:41.960 --> 01:41:44.840
<v Speaker 1>or whatever the case. It seemed as very risky on

2000
01:41:45.000 --> 01:41:50.119
<v Speaker 1>a employment standard to have a bad credit score as well. Okay, yeah, okay,

2001
01:41:50.520 --> 01:41:54.399
<v Speaker 1>and utility deposits anyway, all right, moving on to the

2002
01:41:54.479 --> 01:41:57.840
<v Speaker 1>next thing. So this is what is in your FICO score.

2003
01:41:58.479 --> 01:42:02.359
<v Speaker 1>There's five category that they look into. Here, let's talk

2004
01:42:02.399 --> 01:42:05.000
<v Speaker 1>about it here. Thirty percent of your FYCO score is

2005
01:42:05.039 --> 01:42:09.760
<v Speaker 1>the amounts that you owe, ten percent is new credit,

2006
01:42:11.319 --> 01:42:16.520
<v Speaker 1>fifteen percent is length of credit history, ten percent is

2007
01:42:16.560 --> 01:42:20.720
<v Speaker 1>your maximum credit, and thirty five percent is your payment history.

2008
01:42:20.760 --> 01:42:24.560
<v Speaker 1>And again, some of that is per the individual, a

2009
01:42:24.680 --> 01:42:27.640
<v Speaker 1>lot of it goes more towards the demographic of the whole.

2010
01:42:28.239 --> 01:42:30.600
<v Speaker 2>I just don't see how they can use the demographic

2011
01:42:30.680 --> 01:42:34.399
<v Speaker 2>around you to influence your FYCO score a.

2012
01:42:34.560 --> 01:42:38.159
<v Speaker 1>Wild because it's easier that way, it's quicker. They don't

2013
01:42:38.199 --> 01:42:41.600
<v Speaker 1>have to pull they don't have to pull Jacob's total

2014
01:42:41.680 --> 01:42:44.039
<v Speaker 1>financial history from the time I was eighteen to now.

2015
01:42:44.560 --> 01:42:47.239
<v Speaker 1>They could pull some key factors from it. Sure, they

2016
01:42:47.239 --> 01:42:50.039
<v Speaker 1>could look at every loan that has my Social Security

2017
01:42:50.119 --> 01:42:52.760
<v Speaker 1>number attached to it, for sure, absolutely, But then when

2018
01:42:52.760 --> 01:42:55.439
<v Speaker 1>it comes back to you know, payment histories and the

2019
01:42:55.560 --> 01:42:59.319
<v Speaker 1>max credit and what's considered new credit, they're looking at

2020
01:42:59.359 --> 01:43:02.840
<v Speaker 1>different facts for that. These percentages aren't exactly as clear

2021
01:43:02.960 --> 01:43:07.800
<v Speaker 1>cut as as they might sound. Honestly. So let's see here,

2022
01:43:08.199 --> 01:43:10.640
<v Speaker 1>let's go down that buy Fico's own metrics.

2023
01:43:10.680 --> 01:43:10.800
<v Speaker 4>Here.

2024
01:43:10.840 --> 01:43:13.039
<v Speaker 1>This is myfyco dot com that I'm on right now.

2025
01:43:13.239 --> 01:43:16.880
<v Speaker 1>So payment history, Yeah, we're starting there. The first thing

2026
01:43:16.960 --> 01:43:19.359
<v Speaker 1>any lender wants to know is whether you've paid past

2027
01:43:19.399 --> 01:43:21.720
<v Speaker 1>credit amounts on time. This helps the lender figure out

2028
01:43:21.760 --> 01:43:24.680
<v Speaker 1>the amount of risk it will take on when extending credit.

2029
01:43:25.119 --> 01:43:28.840
<v Speaker 1>This is the most important factor in a FYCO score. Sure, sure,

2030
01:43:29.319 --> 01:43:32.199
<v Speaker 1>but again that is if you were making payments that

2031
01:43:32.319 --> 01:43:36.520
<v Speaker 1>were reported to the credit bureau. If you're renting from

2032
01:43:36.600 --> 01:43:40.199
<v Speaker 1>somebody who doesn't report it, then it doesn't matter the

2033
01:43:40.279 --> 01:43:44.680
<v Speaker 1>amounts owed. Having credit accounts and owing money on them

2034
01:43:44.960 --> 01:43:47.439
<v Speaker 1>does not necessarily mean you are a high risk borrow

2035
01:43:47.560 --> 01:43:50.640
<v Speaker 1>or with a low FICO score. However, if you are

2036
01:43:50.760 --> 01:43:53.720
<v Speaker 1>using a lot of your available credit, this may indicate

2037
01:43:53.800 --> 01:43:56.760
<v Speaker 1>that you are over extended, and banks can interpret this

2038
01:43:56.880 --> 01:43:59.920
<v Speaker 1>to mean that you are at a high risk of defaults.

2039
01:44:00.960 --> 01:44:03.800
<v Speaker 1>So let's say you're approved for ten thousand dollars worth

2040
01:44:03.840 --> 01:44:06.239
<v Speaker 1>of credit. You need to use it, otherwise it's going

2041
01:44:06.319 --> 01:44:08.479
<v Speaker 1>to look like inactive credit with that's not good. That's

2042
01:44:08.520 --> 01:44:10.560
<v Speaker 1>not going to generate income, that's not going to generate

2043
01:44:10.640 --> 01:44:13.199
<v Speaker 1>interest for banks. You can't have that. You need to

2044
01:44:13.319 --> 01:44:15.760
<v Speaker 1>use it, but you don't need to use nine thousand

2045
01:44:15.800 --> 01:44:18.239
<v Speaker 1>of that ten. Maybe use like one thousand of that

2046
01:44:18.359 --> 01:44:20.640
<v Speaker 1>ten and pay it off incrementally in these types of things,

2047
01:44:20.760 --> 01:44:24.359
<v Speaker 1>right anyway, length of credit history in general, having a

2048
01:44:24.399 --> 01:44:26.760
<v Speaker 1>long ait credit history is positive for your FCO score,

2049
01:44:26.880 --> 01:44:29.760
<v Speaker 1>but is not required for a good credit score. And

2050
01:44:29.920 --> 01:44:31.520
<v Speaker 1>of course that makes sense as well. They want to

2051
01:44:31.560 --> 01:44:34.720
<v Speaker 1>know if you're somebody who has participated in the economic

2052
01:44:34.800 --> 01:44:37.279
<v Speaker 1>system for a few years or a few decades. This

2053
01:44:37.439 --> 01:44:41.680
<v Speaker 1>matters credit mix. FIGHTO scores will consider your mix of

2054
01:44:41.760 --> 01:44:46.199
<v Speaker 1>credit cards, retail accounts, installment loans, finance company accounts, and

2055
01:44:46.359 --> 01:44:49.119
<v Speaker 1>mortgage loans. Don't worry, it's not necessary to have one

2056
01:44:49.199 --> 01:44:52.960
<v Speaker 1>of each. Well, thank fucking god, go ahead, no kidding,

2057
01:44:53.119 --> 01:44:56.640
<v Speaker 1>Like yeah, they want to know if you have, you know,

2058
01:44:56.920 --> 01:44:59.920
<v Speaker 1>all these different types of loans and different types of debt,

2059
01:45:00.399 --> 01:45:02.760
<v Speaker 1>or you just you know, you own your own your

2060
01:45:02.840 --> 01:45:05.039
<v Speaker 1>home outright, but you only have like two car loans.

2061
01:45:05.479 --> 01:45:08.279
<v Speaker 1>That's that's not a very diverse debt portfolio, you know

2062
01:45:08.319 --> 01:45:10.640
<v Speaker 1>what I mean. That's not good for business. And then

2063
01:45:10.760 --> 01:45:14.119
<v Speaker 1>new credit research shows that opening several credit accounts in

2064
01:45:14.159 --> 01:45:17.239
<v Speaker 1>a short amount of time represents a greater risk, especially

2065
01:45:17.319 --> 01:45:20.600
<v Speaker 1>for people who don't have a long credit history. What's

2066
01:45:20.640 --> 01:45:22.680
<v Speaker 1>crazy about that one is to get approved from my

2067
01:45:22.800 --> 01:45:25.840
<v Speaker 1>card note I had to take on a five hundred

2068
01:45:25.880 --> 01:45:29.600
<v Speaker 1>dollars credit card. Why did I have to open a

2069
01:45:29.840 --> 01:45:34.079
<v Speaker 1>small line of credit to get approved for my car loan? Well,

2070
01:45:34.119 --> 01:45:36.079
<v Speaker 1>it's because it helped your credit score. It's like, that's

2071
01:45:36.159 --> 01:45:38.760
<v Speaker 1>fucking retarded out loud. But they would not let me

2072
01:45:38.840 --> 01:45:41.079
<v Speaker 1>leave that lot until Capital want top prove me for

2073
01:45:41.159 --> 01:45:44.840
<v Speaker 1>a five hundred dollars card, which I'm not using. I

2074
01:45:44.920 --> 01:45:46.960
<v Speaker 1>don't need it. My credit score is fucked anyway, I

2075
01:45:47.039 --> 01:45:52.039
<v Speaker 1>just got forced whatever. But anyway, So now interesting, what's

2076
01:45:52.079 --> 01:45:53.800
<v Speaker 1>your thoughts on all this? Raven? Look like you're reading

2077
01:45:53.840 --> 01:45:55.239
<v Speaker 1>in on some I am.

2078
01:45:55.279 --> 01:45:57.079
<v Speaker 3>I'm listening to you, but I'm reading in on an

2079
01:45:57.199 --> 01:46:01.239
<v Speaker 3>article that says Fico Fire's back call Vantage Schooler and

2080
01:46:01.319 --> 01:46:05.399
<v Speaker 3>the credit Bureau a de facto monopoly. And it's from

2081
01:46:05.479 --> 01:46:08.399
<v Speaker 3>last year and apparently they felt some type of way

2082
01:46:08.720 --> 01:46:13.600
<v Speaker 3>about the mortgage company's decisions by using Vantage Score as well.

2083
01:46:14.239 --> 01:46:15.239
<v Speaker 2>And I was just reading.

2084
01:46:15.279 --> 01:46:17.920
<v Speaker 3>I just opened it, and so I was like, hmm, interesting,

2085
01:46:18.039 --> 01:46:22.239
<v Speaker 3>but it's it's talking about how the federal Housing Finance

2086
01:46:22.319 --> 01:46:28.319
<v Speaker 3>Agencies decided to sponsor and accept Vantage Score four point zero,

2087
01:46:28.880 --> 01:46:31.439
<v Speaker 3>and it was owned, it's owned by three major It's

2088
01:46:31.520 --> 01:46:35.119
<v Speaker 3>owned by the three major US credit bureaus, Experience, ECOFAX,

2089
01:46:35.199 --> 01:46:40.079
<v Speaker 3>and TransUnion, and so true, FIICO is pissed because they

2090
01:46:40.199 --> 01:46:43.319
<v Speaker 3>opened up their own shit and told FICO pretty much like,

2091
01:46:43.920 --> 01:46:45.439
<v Speaker 3>I guess we'll work with you if we have to,

2092
01:46:45.960 --> 01:46:49.079
<v Speaker 3>right right, Yeah, And so I was just kind of

2093
01:46:49.119 --> 01:46:49.720
<v Speaker 3>glancing through.

2094
01:46:49.800 --> 01:46:51.319
<v Speaker 2>I was trying to read what they said about it

2095
01:46:51.439 --> 01:46:51.840
<v Speaker 2>and stuff.

2096
01:46:51.920 --> 01:46:54.800
<v Speaker 1>But I don't think Fair and Isaac had that interest

2097
01:46:54.880 --> 01:46:59.159
<v Speaker 1>in mind. I honestly think that they might maybe maybe they.

2098
01:46:59.119 --> 01:47:01.680
<v Speaker 2>Were doing it for a good Who owns FICO?

2099
01:47:01.840 --> 01:47:03.800
<v Speaker 1>Now, Oh, they're a public trading company.

2100
01:47:04.640 --> 01:47:07.560
<v Speaker 3>Mm so, because when I was looking into it, Vanderberg

2101
01:47:08.960 --> 01:47:13.159
<v Speaker 3>they were talking about how they base their credit behavior

2102
01:47:13.760 --> 01:47:15.840
<v Speaker 3>that they work with FICO hand in hand on the

2103
01:47:15.880 --> 01:47:18.800
<v Speaker 3>credit behavior side. So black Rock works on the other

2104
01:47:19.239 --> 01:47:23.880
<v Speaker 3>side of it, Vanderberg being Vanguard and Vanguard excuse me,

2105
01:47:24.039 --> 01:47:26.479
<v Speaker 3>but ah, yeah, they work on the other part of

2106
01:47:26.600 --> 01:47:32.199
<v Speaker 3>it with the with a credit behavior aspect, and so

2107
01:47:32.359 --> 01:47:35.119
<v Speaker 3>they're kind of split between all of them. What they're

2108
01:47:35.159 --> 01:47:38.680
<v Speaker 3>doing with FICO and then Equo Facts, Experience and Transusion

2109
01:47:39.000 --> 01:47:42.640
<v Speaker 3>Union decided that they wanted their own, so they own

2110
01:47:42.880 --> 01:47:43.560
<v Speaker 3>vantage Score.

2111
01:47:44.039 --> 01:47:45.399
<v Speaker 2>It's a de facto monopoly.

2112
01:47:45.439 --> 01:47:47.640
<v Speaker 3>If anyone thinks that they're going to get going to

2113
01:47:47.760 --> 01:47:50.399
<v Speaker 3>lower pricing in the long term, it's just a mistake.

2114
01:47:50.680 --> 01:47:53.279
<v Speaker 2>They're going to have all the power, is what Fico

2115
01:47:53.920 --> 01:47:55.239
<v Speaker 2>said about.

2116
01:47:54.960 --> 01:47:58.720
<v Speaker 1>This in reality. In reality is because Fiko understands that

2117
01:47:58.800 --> 01:48:01.119
<v Speaker 1>this is their only comp petition, so they're trying to

2118
01:48:01.119 --> 01:48:02.199
<v Speaker 1>make it seem like they're evil.

2119
01:48:03.159 --> 01:48:05.239
<v Speaker 3>So it says and they are effectively going to be

2120
01:48:05.279 --> 01:48:08.279
<v Speaker 3>able to control not just Vantage Score and the credit

2121
01:48:08.560 --> 01:48:10.640
<v Speaker 3>report pricing, but they're going to be able to actually

2122
01:48:10.680 --> 01:48:13.479
<v Speaker 3>control Fiico Score and squeeze us out of the market.

2123
01:48:14.000 --> 01:48:17.720
<v Speaker 3>They will eventually be no choice in this market because

2124
01:48:17.800 --> 01:48:19.960
<v Speaker 3>they have actually become a facto and that is the

2125
01:48:20.039 --> 01:48:22.399
<v Speaker 3>mortgage professional American company that said that.

2126
01:48:23.119 --> 01:48:27.520
<v Speaker 1>Yeah, so it's a really it's shitty all the way around,

2127
01:48:27.720 --> 01:48:29.199
<v Speaker 1>And again I don't think that was what it was

2128
01:48:29.239 --> 01:48:31.439
<v Speaker 1>intended for, but that is what it has become.

2129
01:48:33.119 --> 01:48:36.880
<v Speaker 3>So yeah, I mean, they we so they charge interesting,

2130
01:48:37.079 --> 01:48:40.039
<v Speaker 3>so we are transparent about what our prices are and

2131
01:48:40.159 --> 01:48:44.720
<v Speaker 3>nobody else in this ecosystem is we charge ecosystem.

2132
01:48:44.960 --> 01:48:45.920
<v Speaker 2>We charge four.

2133
01:48:45.840 --> 01:48:48.680
<v Speaker 3>Point nine four dollars and ninety five cents as royalaty

2134
01:48:48.720 --> 01:48:51.279
<v Speaker 3>fees for the fight Go score, and that's where the

2135
01:48:51.359 --> 01:48:55.159
<v Speaker 3>transparency starts and ends in terms of approximately one hundred

2136
01:48:55.159 --> 01:48:58.720
<v Speaker 3>and twenty dollars credit report costs. It is if it

2137
01:48:58.880 --> 01:49:01.760
<v Speaker 3>is try management that one hundred and twenty four dollars,

2138
01:49:01.920 --> 01:49:04.199
<v Speaker 3>we are fourteen dollars and eighty five cents. So the

2139
01:49:04.279 --> 01:49:07.039
<v Speaker 3>vast majority of eighty five percent of the cost is

2140
01:49:07.159 --> 01:49:10.119
<v Speaker 3>not coming from FICO. So they're pretty much arguing that

2141
01:49:10.640 --> 01:49:13.680
<v Speaker 3>trans that vantage point is going to take over everything,

2142
01:49:13.920 --> 01:49:18.640
<v Speaker 3>force FICO to cause to increase their rates of how

2143
01:49:18.720 --> 01:49:20.840
<v Speaker 3>much it is to actually get it, and then they're

2144
01:49:20.880 --> 01:49:23.760
<v Speaker 3>going to squeeze out everybody else overall.

2145
01:49:24.520 --> 01:49:27.199
<v Speaker 1>I believe it one hundred percent. Actually, now the credit

2146
01:49:27.239 --> 01:49:29.479
<v Speaker 1>bureaus have decided they don't want to use FICO anymore

2147
01:49:29.520 --> 01:49:32.239
<v Speaker 1>because they could just keep that shit in house and

2148
01:49:32.359 --> 01:49:35.640
<v Speaker 1>make that money for themselves. Yeah, that's that's asa.

2149
01:49:36.600 --> 01:49:39.560
<v Speaker 2>They're still utilizing FICO in a way and forcing their

2150
01:49:39.600 --> 01:49:40.880
<v Speaker 2>hand to raise their costs.

2151
01:49:41.399 --> 01:49:45.079
<v Speaker 1>Yeah, that's crazy. So now we're going to cut over

2152
01:49:45.119 --> 01:49:47.399
<v Speaker 1>to a video from the One and Only King Trout

2153
01:49:47.399 --> 01:49:49.239
<v Speaker 1>and if you haven't checked him out. I highly recommend him.

2154
01:49:49.399 --> 01:49:51.840
<v Speaker 1>I love this dude's content, but he's going to kind

2155
01:49:51.880 --> 01:49:54.439
<v Speaker 1>of round out this episode for us and tell us

2156
01:49:54.439 --> 01:49:57.119
<v Speaker 1>a little bit more about the whole system, if you will.

2157
01:49:58.079 --> 01:50:01.359
<v Speaker 4>Millions of Americans were now in digit files, and in

2158
01:50:01.520 --> 01:50:06.640
<v Speaker 4>nineteen eighty nine, nineteen eighty nine, less than forty years ago.

2159
01:50:07.319 --> 01:50:10.720
<v Speaker 4>Everybody thinks credit scores have been around for eternity. Nope, no,

2160
01:50:11.159 --> 01:50:16.199
<v Speaker 4>like your grandpa was born before credit scores existed anyway.

2161
01:50:16.359 --> 01:50:19.479
<v Speaker 4>In nineteen eighty nine, Fiico convinced these three companies to

2162
01:50:20.079 --> 01:50:24.239
<v Speaker 4>standardize the score that they evaluated you with, not because

2163
01:50:24.359 --> 01:50:26.680
<v Speaker 4>it was the best or made the most sense, but

2164
01:50:26.800 --> 01:50:30.720
<v Speaker 4>because it was the easiest to scale, and bing bang boom, Overnight,

2165
01:50:30.840 --> 01:50:34.439
<v Speaker 4>a private company's imaginary, made up number became the gatekeeper

2166
01:50:34.520 --> 01:50:37.119
<v Speaker 4>to determine whether or not you can get a mortgage,

2167
01:50:37.399 --> 01:50:40.800
<v Speaker 4>or a car, or an apartment or some jobs. There

2168
01:50:40.920 --> 01:50:43.640
<v Speaker 4>was no vote held, no law was enacted, and there

2169
01:50:43.720 --> 01:50:48.039
<v Speaker 4>was no public debate, just spreadsheets. Credit scores didn't rise

2170
01:50:48.079 --> 01:50:50.840
<v Speaker 4>to prominence because they're fair. They rose to prominence because

2171
01:50:50.880 --> 01:50:55.560
<v Speaker 4>they made it easier and more streamlined for banks, insurers, corporations,

2172
01:50:55.600 --> 01:50:58.680
<v Speaker 4>and landlords to streamline the process by which they approve

2173
01:50:58.880 --> 01:51:02.039
<v Speaker 4>or deny you. They turned financial life into something that

2174
01:51:02.119 --> 01:51:06.760
<v Speaker 4>could be automated, controlled, and monetized. Your FYCO score uses

2175
01:51:06.840 --> 01:51:11.319
<v Speaker 4>five major weighted categories your payment history, your credit utilization,

2176
01:51:11.720 --> 01:51:14.800
<v Speaker 4>the length of your credit history, your credit mix, and

2177
01:51:14.960 --> 01:51:18.479
<v Speaker 4>your new credit. But inside those categories are hundreds of

2178
01:51:18.640 --> 01:51:22.479
<v Speaker 4>sub variables. Time since your last miss payment, size of

2179
01:51:22.520 --> 01:51:25.600
<v Speaker 4>that last miss payment, your balance relative to your limit,

2180
01:51:26.640 --> 01:51:29.880
<v Speaker 4>the velocity at which you spend money, and hundreds of

2181
01:51:29.920 --> 01:51:33.439
<v Speaker 4>other variables. Also, the model doesn't care if you've paid

2182
01:51:33.479 --> 01:51:36.840
<v Speaker 4>your rent on time every month for the past twenty years.

2183
01:51:37.439 --> 01:51:40.680
<v Speaker 4>If your landlord wasn't reporting it to the bureau, it

2184
01:51:41.159 --> 01:51:43.640
<v Speaker 4>never happened. The thing that most people don't seem to

2185
01:51:43.760 --> 01:51:46.760
<v Speaker 4>understand is that these credit scoring systems do not want

2186
01:51:47.000 --> 01:51:52.600
<v Speaker 4>zero debt. They want active, predictable, interest generating debt. If

2187
01:51:52.640 --> 01:51:55.279
<v Speaker 4>you pay off all your cards, your utilization goes to zero,

2188
01:51:55.680 --> 01:52:00.479
<v Speaker 4>your activity drops, and your profit profile disappears, which to

2189
01:52:00.720 --> 01:52:06.880
<v Speaker 4>the model that looks like risk Because inactive debtors don't

2190
01:52:07.039 --> 01:52:21.800
<v Speaker 4>make them money. You're rewarded for being in debt responsibly,

2191
01:52:22.279 --> 01:52:24.760
<v Speaker 4>and that is why people like me who do not

2192
01:52:24.960 --> 01:52:27.880
<v Speaker 4>maintain debt and buy nearly everything.

2193
01:52:27.680 --> 01:52:29.720
<v Speaker 1>With cash that I actually have.

2194
01:52:30.039 --> 01:52:31.920
<v Speaker 4>That's right, I don't have a credit card.

2195
01:52:32.159 --> 01:52:32.720
<v Speaker 1>I never have.

2196
01:52:33.520 --> 01:52:36.840
<v Speaker 4>People like us have credit scores live in the pod,

2197
01:52:37.000 --> 01:52:40.359
<v Speaker 4>eat the bugs, stay in forever. Debt credit models aren't

2198
01:52:40.520 --> 01:52:46.119
<v Speaker 4>simple formulas. They use logistic regression, survival analysis, machine learning models,

2199
01:52:46.199 --> 01:52:50.760
<v Speaker 4>and cohort behavior tracking. They're working off the history of

2200
01:52:51.600 --> 01:52:54.920
<v Speaker 4>millions of borrowers. What do all of those fancy words

2201
01:52:54.960 --> 01:52:58.159
<v Speaker 4>that I just said mean? Basically, in summary, your credit

2202
01:52:58.199 --> 01:53:02.760
<v Speaker 4>score isn't necessarily determined by your behavior. A lot of

2203
01:53:02.840 --> 01:53:06.119
<v Speaker 4>it is determined by the behavior of people who they

2204
01:53:06.199 --> 01:53:11.159
<v Speaker 4>have decided these agencies have decided are mathematically similar to you.

2205
01:53:11.760 --> 01:53:14.279
<v Speaker 4>And that's why it can get pretty funny. You and

2206
01:53:14.439 --> 01:53:17.000
<v Speaker 4>someone else can do the exact same thing, and one

2207
01:53:17.039 --> 01:53:19.800
<v Speaker 4>of your credit scores goes up and the other goes down.

2208
01:53:20.319 --> 01:53:20.520
<v Speaker 1>Why.

2209
01:53:21.119 --> 01:53:24.479
<v Speaker 4>Well, because you're in different cohorts, your risk groups are different,

2210
01:53:24.560 --> 01:53:28.239
<v Speaker 4>your statistical twins behave differently, and the system isn't tracking

2211
01:53:28.640 --> 01:53:32.960
<v Speaker 4>what you did, it's tracking what people statistically similar to

2212
01:53:33.119 --> 01:53:37.239
<v Speaker 4>you are likely to do next. The credit scoring models

2213
01:53:37.239 --> 01:53:41.199
<v Speaker 4>are also proprietary. This means you can't audit them. You

2214
01:53:41.279 --> 01:53:45.239
<v Speaker 4>can't really know what's actually taking place. Behind the scenes.

2215
01:53:45.760 --> 01:53:49.760
<v Speaker 4>There's no meaningful way the challenge any errors, and you

2216
01:53:49.880 --> 01:53:54.000
<v Speaker 4>can't prove discrimination. You're judged by a system that you're

2217
01:53:54.079 --> 01:53:59.159
<v Speaker 4>not allowed to understand. Slave to the financial algorithm. Credit

2218
01:53:59.199 --> 01:54:02.439
<v Speaker 4>scores whenever about helping people. That are about scaling debt,

2219
01:54:02.600 --> 01:54:07.439
<v Speaker 4>reducing lender risk, automating social sorting, and turning your financial

2220
01:54:07.520 --> 01:54:11.079
<v Speaker 4>life into a data pipeline. Your future is decided by

2221
01:54:11.119 --> 01:54:15.560
<v Speaker 4>a probability curve, not because you're bad, but because an

2222
01:54:15.600 --> 01:54:19.800
<v Speaker 4>equation decided that somebody like you once was, stay in

2223
01:54:19.880 --> 01:54:24.520
<v Speaker 4>debt forever and consume, consume, consume. It's good for the economy.

2224
01:54:26.079 --> 01:54:29.560
<v Speaker 1>I do, in fact love King Charles's content, and he

2225
01:54:30.439 --> 01:54:33.039
<v Speaker 1>was not wrong on any of the things that he

2226
01:54:33.199 --> 01:54:36.079
<v Speaker 1>just listed. Just are all clear here. So with all

2227
01:54:36.199 --> 01:54:39.079
<v Speaker 1>that being taken into account, here you see what I'm

2228
01:54:39.079 --> 01:54:41.159
<v Speaker 1>saying that your credit score actually, yes, some of it

2229
01:54:41.279 --> 01:54:43.560
<v Speaker 1>has to do with you, but primarily it has to

2230
01:54:43.640 --> 01:54:46.920
<v Speaker 1>do with the statistics of other people that fall into

2231
01:54:47.000 --> 01:54:49.560
<v Speaker 1>a certain demographic that you had no say so in.

2232
01:54:50.920 --> 01:54:53.039
<v Speaker 3>That's wild to me. I had no idea. I really

2233
01:54:53.079 --> 01:54:55.960
<v Speaker 3>thought this was solely just a you thing. That's what

2234
01:54:56.119 --> 01:54:58.800
<v Speaker 3>I least was taught. I mean, I felt like I

2235
01:54:58.960 --> 01:55:01.880
<v Speaker 3>opened up a bank account when I was fourteen. I

2236
01:55:01.960 --> 01:55:04.920
<v Speaker 3>got my first credit card when I was fifteen, because

2237
01:55:04.920 --> 01:55:08.279
<v Speaker 3>I started working when I was fourteen, and so I, like,

2238
01:55:08.640 --> 01:55:10.760
<v Speaker 3>I would charge one hundred dollars and then I would

2239
01:55:10.800 --> 01:55:12.960
<v Speaker 3>pay it down over two times. And I would do

2240
01:55:13.039 --> 01:55:14.960
<v Speaker 3>that because I was supposed to build my credit. So

2241
01:55:16.239 --> 01:55:18.000
<v Speaker 3>you know, that's that's what I was taught to do.

2242
01:55:18.640 --> 01:55:21.279
<v Speaker 3>I didn't realize that I went off everyone around me too.

2243
01:55:21.800 --> 01:55:24.520
<v Speaker 3>I figured it was just, you know, solely me, I'm

2244
01:55:24.560 --> 01:55:26.880
<v Speaker 3>in control. But I never understood when I got divorced

2245
01:55:26.960 --> 01:55:31.239
<v Speaker 3>why my credit score drops so significantly versus being married.

2246
01:55:31.319 --> 01:55:33.199
<v Speaker 2>I just didn't understand. I was like, I didn't open

2247
01:55:33.199 --> 01:55:34.640
<v Speaker 2>anything up, we didn't charge.

2248
01:55:34.680 --> 01:55:36.239
<v Speaker 3>You know, you're not alloted of charging thing or do

2249
01:55:36.319 --> 01:55:38.640
<v Speaker 3>anything while you're going through the divorced proceedings.

2250
01:55:38.720 --> 01:55:41.640
<v Speaker 1>So yeah, the fuck. But it had nothing to do

2251
01:55:41.760 --> 01:55:44.359
<v Speaker 1>with that, believe it or not. It had everything to

2252
01:55:44.479 --> 01:55:48.520
<v Speaker 1>do with other people like you in your tax bracket

2253
01:55:48.680 --> 01:55:51.760
<v Speaker 1>in your area of the country who are recently divorced

2254
01:55:51.880 --> 01:55:55.159
<v Speaker 1>are more likely to start making some outland just expenditures,

2255
01:55:55.479 --> 01:55:59.199
<v Speaker 1>possibly even lose their job, possibly foreclothes on a house,

2256
01:55:59.560 --> 01:56:02.680
<v Speaker 1>possibly start selling some assets, whatever, the case is, it

2257
01:56:02.800 --> 01:56:05.079
<v Speaker 1>had nothing to do with what you had going on.

2258
01:56:05.479 --> 01:56:07.840
<v Speaker 1>It had nothing to do with your finances. It had

2259
01:56:07.840 --> 01:56:12.119
<v Speaker 1>everything to do with statistics that didn't favor you for

2260
01:56:12.239 --> 01:56:14.840
<v Speaker 1>people that were going through a very similar situation to you.

2261
01:56:15.800 --> 01:56:19.039
<v Speaker 1>And that's how credit scores are actually made. And like

2262
01:56:19.119 --> 01:56:21.640
<v Speaker 1>he had said, there's no way of auditing this, there's

2263
01:56:21.680 --> 01:56:24.720
<v Speaker 1>no way of reaching out to TransUnion and being like, hey,

2264
01:56:25.560 --> 01:56:28.920
<v Speaker 1>I looked at the print out of what you said

2265
01:56:29.079 --> 01:56:31.600
<v Speaker 1>about my credit history, and I have a couple of

2266
01:56:31.600 --> 01:56:35.640
<v Speaker 1>discrepancies I wanted to iron out with you. No, that's

2267
01:56:35.680 --> 01:56:38.359
<v Speaker 1>how this works. That's how any of this works. You're

2268
01:56:38.399 --> 01:56:39.720
<v Speaker 1>at the behest of these companies.

2269
01:56:40.319 --> 01:56:43.000
<v Speaker 2>You can change certain things, but it's I mean, it

2270
01:56:43.079 --> 01:56:43.680
<v Speaker 2>takes so much.

2271
01:56:43.760 --> 01:56:46.119
<v Speaker 3>Like I said earlier, I've been trying for years to

2272
01:56:46.199 --> 01:56:48.640
<v Speaker 3>get stuff removed from mine. I know people that have

2273
01:56:48.760 --> 01:56:52.159
<v Speaker 3>removed a shit ton of stuff off of their credit scores.

2274
01:56:52.640 --> 01:56:57.119
<v Speaker 3>But there's sometimes you can be able to change things.

2275
01:56:57.159 --> 01:56:58.960
<v Speaker 3>Sometimes you can't. You can talk to them and you

2276
01:56:59.000 --> 01:57:02.439
<v Speaker 3>can call them, but they don't always help.

2277
01:57:02.600 --> 01:57:04.680
<v Speaker 2>I mean, was kind of a but you don't.

2278
01:57:04.840 --> 01:57:07.079
<v Speaker 3>I never knew that it was going off everyone else,

2279
01:57:07.199 --> 01:57:10.239
<v Speaker 3>So I mean, and then when you have stuff linked

2280
01:57:10.239 --> 01:57:14.000
<v Speaker 3>to your exes. That stuff I've always wondered if it's

2281
01:57:14.079 --> 01:57:15.560
<v Speaker 3>still somehow us connected.

2282
01:57:15.760 --> 01:57:18.520
<v Speaker 2>Because I noticed that he asked me.

2283
01:57:19.439 --> 01:57:21.520
<v Speaker 3>He's like, hey, my credit score has dropped a good

2284
01:57:21.560 --> 01:57:24.800
<v Speaker 3>bit has yours. I went and looked, mind dropped thirty

2285
01:57:25.159 --> 01:57:27.800
<v Speaker 3>points too, just like his dead, even though we have

2286
01:57:27.920 --> 01:57:30.920
<v Speaker 3>nothing connected. At the exact same time, it didn't make

2287
01:57:30.920 --> 01:57:31.600
<v Speaker 3>any sense to me.

2288
01:57:32.159 --> 01:57:36.680
<v Speaker 1>Oh, my first divorce, my credit score dropped significantly. My

2289
01:57:36.800 --> 01:57:39.079
<v Speaker 1>ex wife's dropped thirty points.

2290
01:57:40.640 --> 01:57:41.439
<v Speaker 2>That's so weird.

2291
01:57:42.039 --> 01:57:44.039
<v Speaker 1>Continuing on with that of how in the hell does

2292
01:57:44.079 --> 01:57:46.600
<v Speaker 1>that make sense? I was the one that was pretty

2293
01:57:46.680 --> 01:57:49.520
<v Speaker 1>much the breadwinner the entire time we were married. All

2294
01:57:49.560 --> 01:57:52.119
<v Speaker 1>of the loans ran my name, and I never defaulted

2295
01:57:52.199 --> 01:57:56.039
<v Speaker 1>on a single payment on anything. Ever, So just because

2296
01:57:56.119 --> 01:57:59.600
<v Speaker 1>I was a man, my credit score took a massive hit.

2297
01:57:59.720 --> 01:58:02.960
<v Speaker 1>There was no rhyme or reason behind that, except now

2298
01:58:03.079 --> 01:58:06.239
<v Speaker 1>we know statistically other people.

2299
01:58:06.760 --> 01:58:10.119
<v Speaker 2>That look like wowing outs after divorce, so people are like, yeah,

2300
01:58:10.199 --> 01:58:11.199
<v Speaker 2>fuck your credit score.

2301
01:58:11.399 --> 01:58:13.920
<v Speaker 1>Basically, they saw me as a high risk, and they

2302
01:58:13.960 --> 01:58:16.479
<v Speaker 1>didn't want me as a recently divorced man who had

2303
01:58:16.560 --> 01:58:19.119
<v Speaker 1>a stable job and all these things. They didn't want

2304
01:58:19.199 --> 01:58:21.479
<v Speaker 1>me going and start and get approved for some very

2305
01:58:21.640 --> 01:58:24.960
<v Speaker 1>high loans. I wasn't going to go buy a new truck.

2306
01:58:25.279 --> 01:58:27.399
<v Speaker 1>I wasn't about to go buy a house somewhere. I

2307
01:58:27.560 --> 01:58:30.039
<v Speaker 1>was no, No, they were trying to keep me in

2308
01:58:30.159 --> 01:58:34.359
<v Speaker 1>a certain left right lateral limit. Essentially.

2309
01:58:35.239 --> 01:58:37.319
<v Speaker 3>I'm curious to see how this ties in as we

2310
01:58:37.439 --> 01:58:42.359
<v Speaker 3>move forward with the fifteen minute cities, with the AI situation,

2311
01:58:42.680 --> 01:58:45.760
<v Speaker 3>with digital currency and all of these things, how this

2312
01:58:45.960 --> 01:58:49.399
<v Speaker 3>is going to continue moving on, and how this was

2313
01:58:49.560 --> 01:58:51.479
<v Speaker 3>just kind of a shot out of cannon, like, Hey,

2314
01:58:51.560 --> 01:58:54.079
<v Speaker 3>we did this experiment, We got this data that we

2315
01:58:54.279 --> 01:58:57.000
<v Speaker 3>like quote unquote, are using and they push forward and

2316
01:58:57.079 --> 01:59:00.600
<v Speaker 3>now have changed globally everyone's lives. I don't think the

2317
01:59:00.680 --> 01:59:02.680
<v Speaker 3>guy was malicious in doing it, but I think that

2318
01:59:02.760 --> 01:59:05.640
<v Speaker 3>it is turned into something once it got hold of

2319
01:59:05.920 --> 01:59:07.560
<v Speaker 3>you know, once Blackrock got a hold of it and

2320
01:59:07.640 --> 01:59:10.560
<v Speaker 3>everybody else. I think they were able to capitalize on

2321
01:59:10.600 --> 01:59:13.239
<v Speaker 3>the consumer as an aspect and be able to push.

2322
01:59:13.119 --> 01:59:14.439
<v Speaker 2>Forward gaining more money.

2323
01:59:14.520 --> 01:59:17.239
<v Speaker 3>I mean, the more BROOKEI you are, the better little

2324
01:59:17.359 --> 01:59:19.279
<v Speaker 3>worker soldier you're going to be because you're going to

2325
01:59:19.359 --> 01:59:20.720
<v Speaker 3>go to work, you're going to pay your bills, and

2326
01:59:20.760 --> 01:59:22.680
<v Speaker 3>you're gonna just got to try to survive. You're not

2327
01:59:22.760 --> 01:59:24.920
<v Speaker 3>going to really question what's going on around you because

2328
01:59:24.960 --> 01:59:26.600
<v Speaker 3>you don't have the time to do it. You're not

2329
01:59:26.680 --> 01:59:28.239
<v Speaker 3>going to question what they're putting in the food because

2330
01:59:28.279 --> 01:59:29.600
<v Speaker 3>you don't have time to go out and grow your

2331
01:59:29.600 --> 01:59:33.920
<v Speaker 3>own damn food. Like it all ties into everything collectively

2332
01:59:35.199 --> 01:59:35.760
<v Speaker 3>kind of crazy.

2333
01:59:36.239 --> 01:59:38.880
<v Speaker 1>One hundred percent agreed. And that's the thing no one

2334
01:59:39.039 --> 01:59:42.159
<v Speaker 1>taught us about credit scores. No one taught us about

2335
01:59:42.520 --> 01:59:45.800
<v Speaker 1>how actually a debt to income ratio, while that is important,

2336
01:59:46.319 --> 01:59:49.399
<v Speaker 1>is not the only factor. The actual factor is that

2337
01:59:49.479 --> 01:59:52.199
<v Speaker 1>it goes off of algorithms and statistics on people that

2338
01:59:52.399 --> 01:59:54.680
<v Speaker 1>look like you, that make similar money to you, from

2339
01:59:54.760 --> 01:59:57.000
<v Speaker 1>your area of the country, that have been going through

2340
01:59:57.039 --> 01:59:59.319
<v Speaker 1>some very similar life things that you might be going through.

2341
02:00:00.159 --> 02:00:01.880
<v Speaker 1>On the back end of that, all of that data

2342
02:00:02.079 --> 02:00:04.439
<v Speaker 1>is being sold to other companies so that they can

2343
02:00:04.520 --> 02:00:07.359
<v Speaker 1>start bombarding you with offers for things that you didn't

2344
02:00:07.399 --> 02:00:10.199
<v Speaker 1>even want. But it doesn't matter. The credit bureaus are

2345
02:00:10.239 --> 02:00:13.199
<v Speaker 1>making money handover fists on a you getting trying to

2346
02:00:13.199 --> 02:00:16.039
<v Speaker 1>get approved of these loans, and b the data that

2347
02:00:16.079 --> 02:00:18.800
<v Speaker 1>they're selling to these advertisement agencies on the back end,

2348
02:00:19.199 --> 02:00:21.159
<v Speaker 1>And on top of all of that, under this big

2349
02:00:21.359 --> 02:00:24.239
<v Speaker 1>umbrella at the very tippy tippy top is the fair

2350
02:00:24.359 --> 02:00:30.039
<v Speaker 1>and ISAAC Company aka Fiico, And so many people have

2351
02:00:30.399 --> 02:00:33.880
<v Speaker 1>no idea where that number comes from. This arbitrary number

2352
02:00:33.920 --> 02:00:36.520
<v Speaker 1>that decides what you can and can't do with your finances,

2353
02:00:36.600 --> 02:00:39.920
<v Speaker 1>that credit score, it actually has very little to do

2354
02:00:40.039 --> 02:00:42.199
<v Speaker 1>with you as an individual. I feel like not enough

2355
02:00:42.239 --> 02:00:44.319
<v Speaker 1>people know about that, so that good cult members is

2356
02:00:44.319 --> 02:00:48.000
<v Speaker 1>why I decided this episode needed to happen. And I'm

2357
02:00:48.079 --> 02:00:51.079
<v Speaker 1>hoping that everybody has learned a little something from this episode.

2358
02:00:51.119 --> 02:00:53.199
<v Speaker 1>Hopefully you gained a little knowledge. You might be a

2359
02:00:53.239 --> 02:00:56.039
<v Speaker 1>little pissed off a lot. Yeah, you might be a

2360
02:00:56.079 --> 02:00:58.399
<v Speaker 1>little pissed off. I know I am, But you know

2361
02:00:58.520 --> 02:01:01.800
<v Speaker 1>that's okay. That's okay. This knowledge exchange has happened and

2362
02:01:01.880 --> 02:01:04.119
<v Speaker 1>we can all move forward and grow through it together.

2363
02:01:04.960 --> 02:01:06.920
<v Speaker 1>And if you're gonna make some sort of a big expenditure,

2364
02:01:07.119 --> 02:01:12.119
<v Speaker 1>A have like half upfront if possible. And B if

2365
02:01:12.159 --> 02:01:13.680
<v Speaker 1>you want to try to fuck with your credit score,

2366
02:01:13.840 --> 02:01:16.359
<v Speaker 1>call one of these companies and they can do some

2367
02:01:16.520 --> 02:01:19.039
<v Speaker 1>things to adjust your credit in like two months. But

2368
02:01:19.199 --> 02:01:22.640
<v Speaker 1>understand it's not gonna They're not changing your debt, they're

2369
02:01:22.680 --> 02:01:25.439
<v Speaker 1>not changing your payment history. They're moving a little bit

2370
02:01:25.479 --> 02:01:27.199
<v Speaker 1>of things from point A to point B to make

2371
02:01:27.239 --> 02:01:30.079
<v Speaker 1>those statistics look better on those five points that they're

2372
02:01:30.079 --> 02:01:31.479
<v Speaker 1>actually pulling for your credit score.

2373
02:01:33.239 --> 02:01:34.279
<v Speaker 2>Yeah, that's crazy.

2374
02:01:34.520 --> 02:01:36.399
<v Speaker 3>I am actually going to check out that opt out

2375
02:01:36.439 --> 02:01:39.640
<v Speaker 3>of the prescreen dot com thing. I'm definitely gonna check

2376
02:01:39.640 --> 02:01:42.039
<v Speaker 3>that out and probably fill it out because I don't

2377
02:01:42.079 --> 02:01:43.079
<v Speaker 3>want my data being shared.

2378
02:01:43.159 --> 02:01:44.840
<v Speaker 2>I'm gonna be honest with you. I'm kind of over it.

2379
02:01:45.199 --> 02:01:47.680
<v Speaker 1>Yeah, same, same, But again, that only gets shared, well,

2380
02:01:47.680 --> 02:01:50.560
<v Speaker 1>at least that is only for opting out of your

2381
02:01:50.640 --> 02:01:52.720
<v Speaker 1>data being shared when you apply for a new loan.

2382
02:01:53.039 --> 02:01:55.800
<v Speaker 1>Whatever data they already have on you, they're sharing that.

2383
02:01:55.840 --> 02:01:58.439
<v Speaker 1>They're getting paid for that. But let's say you want

2384
02:01:58.520 --> 02:01:59.960
<v Speaker 1>to go for a new car or you want to

2385
02:02:00.159 --> 02:02:01.880
<v Speaker 1>do a trade in, and you need your credit score

2386
02:02:01.920 --> 02:02:04.039
<v Speaker 1>to get pulled. You have to sign up for these

2387
02:02:04.079 --> 02:02:06.720
<v Speaker 1>websites or call the toll free number prior to going

2388
02:02:06.760 --> 02:02:09.319
<v Speaker 1>to the car dealership so that they know that. But

2389
02:02:09.439 --> 02:02:11.279
<v Speaker 1>it's the car dealership has nothing to do with that.

2390
02:02:11.680 --> 02:02:13.840
<v Speaker 1>They need the numbers so that they can approve or

2391
02:02:13.920 --> 02:02:16.760
<v Speaker 1>deny your loan. It has nothing to do with the dealership,

2392
02:02:16.760 --> 02:02:18.279
<v Speaker 1>But it has nothing to do with the mortgage company.

2393
02:02:18.279 --> 02:02:20.039
<v Speaker 1>It has to do with the credit bureaus themselves.

2394
02:02:20.960 --> 02:02:25.399
<v Speaker 2>Okay, yeah, all right, well, hey, I learned a good

2395
02:02:25.439 --> 02:02:25.960
<v Speaker 2>bit about this.

2396
02:02:26.680 --> 02:02:29.159
<v Speaker 1>R Yeah, good cult members, we want to hear from you.

2397
02:02:29.359 --> 02:02:31.359
<v Speaker 1>What do you think about all these things? Do you

2398
02:02:31.439 --> 02:02:34.000
<v Speaker 1>think that the financial system is completely screwed? Do you

2399
02:02:34.079 --> 02:02:36.359
<v Speaker 1>think that we're idiots for not knowing these things? And

2400
02:02:36.399 --> 02:02:38.640
<v Speaker 1>apparently all adults know this. I have a hard time

2401
02:02:38.680 --> 02:02:41.479
<v Speaker 1>believing that, but fine, whatever, tell us what you think

2402
02:02:41.479 --> 02:02:43.239
<v Speaker 1>about a good cult members. But before I give that

2403
02:02:43.239 --> 02:02:45.359
<v Speaker 1>shameless plug, as they're talking about the financial system and

2404
02:02:45.399 --> 02:02:47.239
<v Speaker 1>all the things, I also want to make a mention.

2405
02:02:47.319 --> 02:02:48.399
<v Speaker 1>If you would like to get your start in the

2406
02:02:48.399 --> 02:02:50.760
<v Speaker 1>buying and selling and trading of gold and silver bullion,

2407
02:02:50.800 --> 02:02:52.720
<v Speaker 1>then go to the link in the description to cocsilver

2408
02:02:52.840 --> 02:02:54.960
<v Speaker 1>dot com and get your start today. When you fill

2409
02:02:55.000 --> 02:02:56.800
<v Speaker 1>out your information, Our homeboy Wayne Clark would be the

2410
02:02:56.800 --> 02:02:58.279
<v Speaker 1>one to reach out to you and get you square Toway.

2411
02:02:58.359 --> 02:03:00.920
<v Speaker 1>Listen as they're talking about these credit scores talking about

2412
02:03:00.960 --> 02:03:03.319
<v Speaker 1>loans that you can get approved or denied for. There's

2413
02:03:03.359 --> 02:03:05.279
<v Speaker 1>also this other thing where maybe you don't have money

2414
02:03:05.319 --> 02:03:07.720
<v Speaker 1>to put up you know, as a as upfront payment,

2415
02:03:08.000 --> 02:03:10.000
<v Speaker 1>but you may have something that you could use as collateral.

2416
02:03:10.439 --> 02:03:14.119
<v Speaker 1>Silver and gold bullion is excellent tangible collateral that you

2417
02:03:14.159 --> 02:03:16.760
<v Speaker 1>could use to get approved or denied for certain loans,

2418
02:03:16.800 --> 02:03:19.039
<v Speaker 1>regardless of a credit score. It's one of those things.

2419
02:03:19.399 --> 02:03:21.880
<v Speaker 1>Silver right now is over ninety five dollars an ounce.

2420
02:03:21.960 --> 02:03:23.920
<v Speaker 1>When we started this affiliate program, it was just over

2421
02:03:24.000 --> 02:03:27.079
<v Speaker 1>thirty dollars an ounce, while it's still affordable to get some.

2422
02:03:27.199 --> 02:03:28.600
<v Speaker 1>I know that might sound like a lot of money

2423
02:03:28.640 --> 02:03:28.960
<v Speaker 1>to people.

2424
02:03:29.039 --> 02:03:29.520
<v Speaker 3>I hear you.

2425
02:03:29.960 --> 02:03:32.640
<v Speaker 1>But even if you just start getting a coin here there,

2426
02:03:32.960 --> 02:03:35.079
<v Speaker 1>every couple of months, you might order a new coin,

2427
02:03:35.159 --> 02:03:37.439
<v Speaker 1>a new little piece, whatever the case. They have a

2428
02:03:37.560 --> 02:03:40.560
<v Speaker 1>wide wide range of different things that you can buy

2429
02:03:40.720 --> 02:03:43.640
<v Speaker 1>off of the coc Silver website. Go check it out

2430
02:03:43.680 --> 02:03:45.560
<v Speaker 1>today get your start in the buying and selling of

2431
02:03:45.640 --> 02:03:48.520
<v Speaker 1>the precious medals. But another way, good cult members, that

2432
02:03:48.560 --> 02:03:50.000
<v Speaker 1>you could support the show and let us know what

2433
02:03:50.079 --> 02:03:53.079
<v Speaker 1>you think about the financial system, FIICO, the credit bureaus,

2434
02:03:53.199 --> 02:03:54.920
<v Speaker 1>all of these things we want to hear from you

2435
02:03:55.039 --> 02:03:57.760
<v Speaker 1>would be too, Please hit the five stars at the

2436
02:03:57.760 --> 02:04:00.319
<v Speaker 1>shares of Licenscrit's comments, Legal Postter Reviewer shares your friends

2437
02:04:00.319 --> 02:04:02.119
<v Speaker 1>of Faily Sheriff and We're here's the deal. The more

2438
02:04:02.119 --> 02:04:04.760
<v Speaker 1>activity are Gouden sees across all the listening platforms, the

2439
02:04:04.840 --> 02:04:06.720
<v Speaker 1>more we get promoted and more potential listeners who could

2440
02:04:06.720 --> 02:04:08.319
<v Speaker 1>then become potential cult members like the rest of you.

2441
02:04:08.439 --> 02:04:10.319
<v Speaker 1>Final lydies and gentlemen, why are you ready? Go check

2442
02:04:10.319 --> 02:04:12.319
<v Speaker 1>out None Mystics Jonathan shown getting the same lover and

2443
02:04:12.359 --> 02:04:13.800
<v Speaker 1>inspect over there with the five star reviews and the

2444
02:04:13.840 --> 02:04:16.399
<v Speaker 1>positivity in the comments. Come check out The Cajun Night

2445
02:04:16.640 --> 02:04:19.000
<v Speaker 1>and come join each of us for our individual Patreon

2446
02:04:19.079 --> 02:04:21.199
<v Speaker 1>lives we host every Wednesday night at nine pm Central.

2447
02:04:21.319 --> 02:04:22.800
<v Speaker 1>Links to those are in the description as well.

2448
02:04:22.880 --> 02:04:23.560
<v Speaker 4>And we thank you.

2449
02:04:23.640 --> 02:04:25.880
<v Speaker 1>Everybody's already gone and done so. And with all of

2450
02:04:25.960 --> 02:04:30.520
<v Speaker 1>this being said, this was a beautiful and informative episode

2451
02:04:30.680 --> 02:04:34.119
<v Speaker 1>of the Cults of Conspiracy. Now I'm the Cajun Night

2452
02:04:34.359 --> 02:04:37.399
<v Speaker 1>and Rave and there's one very important, extremely vital piece

2453
02:04:37.439 --> 02:04:39.880
<v Speaker 1>of information needs to learn. Just as center as human

2454
02:04:40.000 --> 02:05:16.520
<v Speaker 1>as possible, No pass your blaser
