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<v Speaker 1>This is Gary and Shannon and you're listening to kf

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<v Speaker 1>I AM six forty, the Gary and Shannon Show on

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<v Speaker 1>demand on the iHeartRadio app.

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<v Speaker 2>I mean I did never ever watch the show. But

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<v Speaker 2>was that Game of Thrones Elmer?

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<v Speaker 1>Okay, yes, no, yes, well of course we were just

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<v Speaker 1>talking about the dire Wolves.

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<v Speaker 3>No, I know, I.

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<v Speaker 4>So mad.

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<v Speaker 3>I'm sorry. What's going on with you? Do I really? Yeah?

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<v Speaker 3>Is it the open toad shoes thing that I'm the

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<v Speaker 3>comment that I made? No?

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<v Speaker 1>Sure, yeah, No, everything's fine. Sure sounds like it did.

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<v Speaker 1>Is it just the thing about your clothes?

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<v Speaker 3>Is that my thing? Hey?

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<v Speaker 5>Gary, this is Tim from Orange. I take care of

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<v Speaker 5>a wealthy family live on a ranch in Texas, and

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<v Speaker 5>they travel all over the world and I handle all

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<v Speaker 5>their fun and their toys.

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<v Speaker 3>No, that's cool.

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<v Speaker 5>I get paid one thousand dollars a day.

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<v Speaker 3>All year long. Wow.

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<v Speaker 5>I handle their surcinge trips and their equipment for Baja,

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<v Speaker 5>the handle their skis when they're in Montana, etc.

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<v Speaker 3>Wow.

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<v Speaker 1>Thing that sounds awful. Oh you think it sounds good

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<v Speaker 1>for a thousand bucks a day. I just want to

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<v Speaker 1>feel their skis for their trip to Montana. That'd be Okay, yeah,

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<v Speaker 1>I guess I just wouldn't feel great about it. It's

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<v Speaker 1>not like something you feel good about at the end

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<v Speaker 1>of the day. Would you would you.

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<v Speaker 2>Allow your husband to pack for you for a trip,

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<v Speaker 2>Yeah you would, Yeah, you'd feel comfortable that he'd probably

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<v Speaker 2>do a much better job.

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<v Speaker 3>Really, why my wife would never She.

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<v Speaker 1>Would never allow you to pack for her.

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<v Speaker 3>Huh, No, that would not happen. What would you pack?

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<v Speaker 1>Well, I would pack the normal things, pants and tops

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<v Speaker 1>and bottoms. But you're well, difference, there's another there's like

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<v Speaker 1>the external bag, the bathroom bag. Well, but your wife's fashionable.

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<v Speaker 1>All my husband would have to do is pack me

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<v Speaker 1>a couple pairs of jeans and a couple of black

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<v Speaker 1>tank tops and call it a day. She has like outfits.

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<v Speaker 1>I do not, so it's much easier. He also would

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<v Speaker 1>take me to places like tent cabins at Yosemite. You

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<v Speaker 1>know what I mean.

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<v Speaker 3>She's trying. It's really really not that hard to pack

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<v Speaker 3>for our trips. What else is going on? Time for

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<v Speaker 3>what's happening?

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<v Speaker 1>The Department of Justice is getting involved, going to form

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<v Speaker 1>a task for us to investigate fraud, waste, abuse, and

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<v Speaker 1>corruption involving homeless dollars here in southern California. This, guys,

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<v Speaker 1>this is gonna get crazy. We saw this coming. We've

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<v Speaker 1>talked to Michael Monks about it before. When that federal

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<v Speaker 1>judge a week or so ago had Karen Bass and

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<v Speaker 1>the board of supervisors his chambers and said, y'all are

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<v Speaker 1>doing this wrong, and I'm going to get to the

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<v Speaker 1>bottom of it. We knew that this would all unravel,

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<v Speaker 1>that the fraud and the waste and all the money

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<v Speaker 1>that we've pointed to the homeless problem as taxpayers, that

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<v Speaker 1>this was gonna come to some sort of big deal,

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<v Speaker 1>big snowball rolling down the mountain.

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<v Speaker 3>Yeah.

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<v Speaker 2>And the new US Attorney Bill A Sale says California

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<v Speaker 2>spent more than twenty four billion dollars over the last

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<v Speaker 2>five years to address homelessness, but officials have been unable

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<v Speaker 2>to account for all of the expenditures and outcomes, and

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<v Speaker 2>the homeless crisis has only gotten worse.

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<v Speaker 1>So good, I'm glad people are looking into this. I

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<v Speaker 1>don't care if they're doing it for their own political advancement.

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<v Speaker 1>Just find out where this money is going and who

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<v Speaker 1>and who it's going to.

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<v Speaker 2>Leno's Law is moving its way through Sacramento. Jay Leno,

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<v Speaker 2>of course, famous auto enthusiast and longtime talk show host

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<v Speaker 2>and comedian, he wants to see some smog checks eliminated

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<v Speaker 2>for classic cars right now. Collect cars that are at

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<v Speaker 2>least thirty five years old are currently exempt from portions

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<v Speaker 2>of smog test, but this new bill introduced by Senator

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<v Speaker 2>Shannon Grove would do away with the acquirement requirement for

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<v Speaker 2>vehicles to be tested biennially or when transferred to a

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<v Speaker 2>new owner. This would be a collector motor vehicle owned

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<v Speaker 2>by a collector that is used primarily in shows, parades,

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<v Speaker 2>charitable functions, and historical historical exhibitions for display, maintenance and preservation,

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<v Speaker 2>not primarily for transportation. According to Shannon Grove's office, Jay

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<v Speaker 2>Leno's going to participate in the event today.

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<v Speaker 1>A Venarian in Vegas is missing following a viral video

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<v Speaker 1>that shows this guy kicking a horse's head. I saw

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<v Speaker 1>that doctor Sean Frainer was paid to administer anesthesic anesthesi

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<v Speaker 1>anesthesic anesthetic.

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<v Speaker 3>Anesthetic that was painful.

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<v Speaker 1>I'm sorry you needed anesthetic to get through it. Shots

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<v Speaker 1>for some horses at a a property in Pahrump.

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<v Speaker 3>Is that where the all the hookers are. I think

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<v Speaker 3>there are some there, let's see.

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<v Speaker 1>Shaana gonzalez Is, the property owner, said she used this

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<v Speaker 1>vet services since August twenty twenty four, but was shocked

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<v Speaker 1>at what she heard as she walked back from the

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<v Speaker 1>chicken coop. She said she heard, I heard my mother yell,

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<v Speaker 1>oh my god, he just kicked him. Runs to her

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<v Speaker 1>mother's window, looks out, but doesn't see anything but the

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<v Speaker 1>young colt struggling to breathe. Oh my god, mom, he's choking.

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<v Speaker 3>She said.

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<v Speaker 1>He wrapped the horse around his neck three times and

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<v Speaker 1>he kicked him in the head.

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<v Speaker 2>Explain what the guy was doing. The video was shared online.

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<v Speaker 2>It's not this spurt to post from him, he said.

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<v Speaker 2>I did not blatantly haul off and kick this horse

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<v Speaker 2>as it appears in the video.

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<v Speaker 3>That was not my intention.

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<v Speaker 2>It was done simply to get the horse in a

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<v Speaker 2>better position so that he could breathe and get up

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<v Speaker 2>and move, so I could so I could again try

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<v Speaker 2>who a nestetize.

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<v Speaker 1>Anyway, he's nowhere to be found, because well, you can't

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<v Speaker 1>just go kicking horses in the head.

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<v Speaker 3>People are going to come after you. That's right. We

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<v Speaker 3>got this story about the woman found alive in the

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<v Speaker 3>in the woods.

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<v Speaker 1>Oh, the Michigan woman who like lived off the land

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<v Speaker 1>for a few days.

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<v Speaker 3>I could do that.

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<v Speaker 1>I love those stories.

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<v Speaker 3>You could, I think. So, you know, your outfit's great, right,

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<v Speaker 3>stop it?

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<v Speaker 1>Okay, it's only because it's totally fine that it's funny

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<v Speaker 1>that I made a joke about it, is it?

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<v Speaker 3>Because like if if it's out of the Gary will continue.

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<v Speaker 4>You're listening to Gary and Shannon on demand from KFI

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<v Speaker 4>AM six forty.

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<v Speaker 3>It's like such a bro's bro Oh yeah, you know,

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<v Speaker 3>high fives.

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<v Speaker 4>All.

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<v Speaker 1>Yeah, we're talking about love on the spectrum. And I

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<v Speaker 1>was telling Gary that the more I watch it, the

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<v Speaker 1>more it feeds into my spectrum tendencies.

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<v Speaker 2>It'll get in there, it does, it'll worm around that head.

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<v Speaker 2>Trump and his tariffs have taking a bull stock market.

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<v Speaker 2>They said that they are now on the precipice of

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<v Speaker 2>turning into a bear market faster than any president has

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<v Speaker 2>overseen in modern history.

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<v Speaker 3>We will see how that goes.

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<v Speaker 2>The Dow Jones Industrial Average is down about four hundred

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<v Speaker 2>and eleven points right now.

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<v Speaker 3>Nasdaq has slipped a little more.

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<v Speaker 2>It's down about two percent, as is the NASDAC and gold,

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<v Speaker 2>sorry oil prices. Oil prices have now slipped below sixty

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<v Speaker 2>dollars below fifty nine dollars a barrel for the first

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<v Speaker 2>time in a long time.

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<v Speaker 1>The IRS is agreeing to help ICE find illegal immigrants

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<v Speaker 1>by sharing information with the agency. Court documents show the

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<v Speaker 1>IRS will provide the Department of Homeland Security with information

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<v Speaker 1>for migrants who are either under federal investigation or are

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<v Speaker 1>already facing deportation. But what a slippery slope the IRS

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<v Speaker 1>had worn the Trump administration. The plan to use it

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<v Speaker 1>for information could be illegal, certainly if it's information where

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<v Speaker 1>and I'm no immigration attorney, but certainly or an attorney

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<v Speaker 1>at all, But certainly if it's somebody who's not under

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<v Speaker 1>federal investigation or not already facing deportation. And even then

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<v Speaker 1>that's that's a dicey line to dance. Yeah, I'm surprised

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<v Speaker 1>that's not getting more attention. Would you like your jeopardy question?

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<v Speaker 1>We could do that, Okay, what kind of animals do

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<v Speaker 1>you like? And what kind of animals are your least favorite?

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<v Speaker 3>Just kidding, I'll tell you which was. I don't like

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<v Speaker 3>I don't like porcupines, I don't like fevers, I don't

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<v Speaker 3>go on what don't you like? I don't like spiders.

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<v Speaker 3>You don't like spiders. I don't like spiders. And I

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<v Speaker 3>don't like an animal that I.

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<v Speaker 1>Don't like some spiders and a steaks. And I don't

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<v Speaker 1>like rats, but I used to not like rats more

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<v Speaker 1>and I like them now because I think there's one

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<v Speaker 1>that lives in my house.

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<v Speaker 3>I don't like to be surprised by animals.

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<v Speaker 1>I don't either animals I don't like, I like all

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<v Speaker 1>the other I don't like to be surprised by animals either.

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<v Speaker 1>Sometimes I think about if there was a bear in

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<v Speaker 1>the backyard, how i'd like it, but that if it

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<v Speaker 1>surprised me, I wouldn't like it.

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<v Speaker 3>Got that far off. It's pretty close.

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<v Speaker 1>Women right on wrig Ver six hundred dollars right answer.

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<v Speaker 1>Things were hopping for this author after she published The

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<v Speaker 1>Tale of Peter Rabbit.

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<v Speaker 3>Who is Beatrix Potter? Good job? Your mother would be proud.

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<v Speaker 3>Nancy Bloomquist was missing. Yes.

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<v Speaker 2>Nancy Bloomquist was last seen at the Little River Casino,

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<v Speaker 2>about ninety five miles north of Norton Shores in Michigan

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<v Speaker 2>Thursday night. Few hours for nightfall, she decided she was

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<v Speaker 2>gonna drive home.

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<v Speaker 3>Wait, she had a couple of cocks. I don't know,

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<v Speaker 3>I don't know. In my story, she has gone.

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<v Speaker 2>Nancy said, oh my gosh, it's time to go home.

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<v Speaker 3>She's from the South. Oh gosh, got her. Oh boy,

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<v Speaker 3>it's time dog go home.

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<v Speaker 1>She's having like Val Kilmer a little bit in the

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<v Speaker 1>first go.

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<v Speaker 2>She's so, she jumps in her twenty twenty four gmc

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<v Speaker 2>terrain not to brag, and drives home. However, she gets

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<v Speaker 2>lost on a private road and her almost brand new

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<v Speaker 2>vehicle becomes disabled.

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<v Speaker 3>Oh yeah, what am I gonna do now? Oh boy?

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<v Speaker 2>So overnight Thursday into Friday again Michigan rain and freezing temperatures.

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<v Speaker 2>In fact, in the stretch between Thursday and Sunday, a

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<v Speaker 2>front produced rain and light snow. Overnight lows dipped into

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<v Speaker 2>the twenty degree area.

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<v Speaker 3>Twenty two was the low.

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<v Speaker 1>You see Nancy's driver license picture. No, I'm a sturdy woman.

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<v Speaker 1>She looks exactly like she sounds in your story. So

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<v Speaker 1>the Mason County Sheriff's office is I think a linebacker,

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<v Speaker 1>but short blonde bob.

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<v Speaker 3>Okay, all right, that is not what I was expecting.

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<v Speaker 3>But linebacker.

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<v Speaker 2>But Nancy is a lady Nancy fled the vehicle after

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<v Speaker 2>it erupted in flames, but tried to return because she

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<v Speaker 2>had apparently left her phone inside. Oh crap and a half,

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<v Speaker 2>I forgot my phone. So the Mason County sheriff said

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<v Speaker 2>the SUV may have ignited after its engine was exhausted

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<v Speaker 2>in an effort to get traction off road in the

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<v Speaker 2>weather that the sheriff described as life threatening. Nancy got

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<v Speaker 2>lost as she was trying to return to her car,

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<v Speaker 2>and because of the rain and the debilitating cold, her

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<v Speaker 2>body locked up.

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<v Speaker 3>Maybe it was because she was.

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<v Speaker 2>A backup tight end for the University of Michigan for

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<v Speaker 2>three and a half years. But she sought shelter next

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<v Speaker 2>to a tree that she pushed over. Sorry the tree

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<v Speaker 2>had already fallen, But I.

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<v Speaker 1>Don't think backups are that big.

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<v Speaker 2>She found college level maybe not, but it's Division one.

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<v Speaker 2>I mean, Michigan's got a good program. She sought shelter

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<v Speaker 2>next to a downtree. She apparently stayed there for three

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<v Speaker 2>days until she was discovered by a search team on

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<v Speaker 2>Sunday after a drone spotter. Sheriff said that Nancy was conscious.

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<v Speaker 2>She spoke to arriving deputies where the hell have you

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<v Speaker 2>guys been?

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<v Speaker 1>She said she had eaten three of the town's children.

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<v Speaker 3>She was taken to hospital and treated for exposure.

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<v Speaker 1>I love stories where people just survive, Like whether it's

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<v Speaker 1>a car crash and they're just in like a ravine

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<v Speaker 1>for the year five or seven days, or on a

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<v Speaker 1>heke and they get lost in drink water. It's just

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<v Speaker 1>it's amazing. Remember that woman who was in that crash

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<v Speaker 1>and she like used her sweatshirt to like soak up

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<v Speaker 1>the water and then drink from it. I just get

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<v Speaker 1>I mean, I give up sometimes inside my home, next

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<v Speaker 1>to the refrigerator.

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<v Speaker 2>Sometimes on the two ten when traffic slows down, just whatever,

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<v Speaker 2>take me.

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<v Speaker 3>Come on, Lord, where's the asteroid? Bring on?

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<v Speaker 1>My dinosaur wears my t rex?

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<v Speaker 3>Hey, crap and a half. I like that.

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<v Speaker 1>Saving that's saying, oh, crap and a half.

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<v Speaker 3>Well, that was Nancy's. Yeah, I like that.

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<v Speaker 2>I would never think of something like that. Nancy, She's oh, yeah,

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<v Speaker 2>she did. Oh crap and a half. That is a

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<v Speaker 2>dude wearing a wig, isn't it.

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<v Speaker 1>I don't know what Nancy's journey is back all right,

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<v Speaker 1>but I did do an extensive Google search with that

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<v Speaker 1>question in mind came out with nothing because you know what,

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<v Speaker 1>Nancy Bloomquist, she's the kind of person who doesn't like

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<v Speaker 1>to make a big deal out of it. If Nancy,

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<v Speaker 1>if Nancy was born George, we would never know because

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<v Speaker 1>she doesn't like to make a big deal out of it.

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<v Speaker 1>She's like, give me my wig and let me get

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<v Speaker 1>lost in the woods.

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<v Speaker 2>The True Crime Tuesday story that we have is an

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<v Speaker 2>interesting look at how technology has changed criminal investigations.

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<v Speaker 3>We'll talk about how.

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<v Speaker 2>AI is making Oh sorry here, No, No, that's fine,

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<v Speaker 2>everything's fine.

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<v Speaker 3>I don't hear it. I didn't hear that at all.

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<v Speaker 3>Were you clicking your pen the whole time?

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<v Speaker 1>Does that bother you all the time? Is that one

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<v Speaker 1>of your triggers? No?

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<v Speaker 3>In fact, I don't think I ever hear I do

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<v Speaker 3>it too.

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<v Speaker 1>Unfortunately, I know that I put my headphones back on.

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<v Speaker 4>You're listening to Gary and Shannon on demand from KFI

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<v Speaker 4>AM six forty.

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<v Speaker 2>Some foreign leaders have been frustrated, although administration if A

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<v Speaker 2>have now said that there phones have arguably been ringing

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<v Speaker 2>off the hook. Where other countries have come in and

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<v Speaker 2>asked to negotiate so that we can avoid a worldwide

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<v Speaker 2>trade war. That could erupt, but as of right now,

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<v Speaker 2>China is still the biggest player in all of this.

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<v Speaker 2>Trump administration is also touting a Supreme Court ruling that

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<v Speaker 2>will allow it to resume deportations under the Alien Enemies

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<v Speaker 2>Act as a major victory, but pretty far from over.

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<v Speaker 2>The divided court found that Trump can use the eighteenth

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<v Speaker 2>century wartime law to deport Venezuelan migrants accused of being

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<v Speaker 2>gang members to this prison at El Salvator El Salvador.

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<v Speaker 2>That is, the justice has also decided people accused of

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<v Speaker 2>being members of the trendy Aragua gang do have to

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<v Speaker 2>get a chance to challenge their removals, finding that their

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<v Speaker 2>lawyers said was an important victory. In all of this.

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<v Speaker 2>We've talked about true crime stories a lot. We talk

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<v Speaker 2>about we talk about different ways that cases can be

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<v Speaker 2>built against people. One of those main ways for the

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<v Speaker 2>last one hundred years or so the cases have been

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<v Speaker 2>built against criminals is fingerprints.

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<v Speaker 1>That's where we start True Crime Tuesday.

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<v Speaker 5>The story is true, sounds true?

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<v Speaker 3>No, it sounds made up. I don't know. Garry and

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<v Speaker 3>Shannon present True Crime.

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<v Speaker 2>The science of fingerprinting. The pattern matching of fingerprinting started

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<v Speaker 2>back in the eighteen seventies, a guy named Henry Folds,

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<v Speaker 2>a Scottish medical missionary who was serving in Japan, started

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<v Speaker 2>thinking about fingerprints, and while he was on an archaeological

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<v Speaker 2>expedition with a friend, he noticed that there was a

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<v Speaker 2>print on a clay relic and he reminded him of

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<v Speaker 2>some stories he'd heard about merchants, Chinese merchants who were

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<v Speaker 2>using fingerprints to sign contracts, And he said, our fingerprints

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<v Speaker 2>really as unique as we think they are.

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<v Speaker 1>So he started recording fingerprints using a method called nature printings.

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<v Speaker 1>Botanists use this to document plant leaves. You may have

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<v Speaker 1>seen this. So he smeared thin coats of printer's ink

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<v Speaker 1>over a tin plate and carefully pressed the finger print

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<v Speaker 1>of a fingertip of a volunteer onto the blotch, then

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<v Speaker 1>transfer their ink finger onto a piece of paper. Now,

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<v Speaker 1>not much has changed since good old Henry's experience in

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<v Speaker 1>the nineteen seventies or eighteen seventies. Excuse me, that sounds

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<v Speaker 1>exactly like they do it, at least in the shows

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<v Speaker 1>that the police departments.

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<v Speaker 2>Sure, I mean, now, if you need to get fingerprinted,

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<v Speaker 2>they can do. You know, you throw your thumb print

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<v Speaker 2>down on a glass and they can scan the fingerprint

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<v Speaker 2>that way. That's that's probably the most advanced that they've

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<v Speaker 2>gotten when it comes to fingerprints. But over the next

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<v Speaker 2>decade or so, again we're talking about the eighteen seventies

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<v Speaker 2>eighteen eighties, he made thousands of these prints. He even

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<v Speaker 2>enlisted the staff of a hospital in Tokyo. Each fingerprint

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<v Speaker 2>that he captured appeared to be unique, and this is

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<v Speaker 2>probably just as important. It maintained its distinct pattern over time,

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<v Speaker 2>so as a kid got older, that pattern of loops

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<v Speaker 2>and whirls in that individual fingerprint never changed.

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<v Speaker 1>So his extensive and detailed collection of these fingerprints would

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<v Speaker 1>become a key piece of evidence. Tokyo police was investigating

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<v Speaker 1>a break in at the same hospital where he worked,

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<v Speaker 1>and authorities identified one of Henry's own employees as a suspect,

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<v Speaker 1>and had even discovered sooty fingerprints that the intruder had

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<v Speaker 1>left on a wall. So that employee, it turned out,

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<v Speaker 1>had provided his fingerprints for Henri's study earlier. And when

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<v Speaker 1>the police compared the ones from the wall to the

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<v Speaker 1>suspects and so they have the wrong person.

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<v Speaker 3>The Prince not a match.

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<v Speaker 2>Well now, and this was exciting for the doctor. His

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<v Speaker 2>collection could be used to help solve crimes. Bloody finger

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<v Speaker 2>marks or impressions on clay or glass, whatever, they may

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<v Speaker 2>lead to the scientific identification of criminals. This is a

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<v Speaker 2>letter that he wrote published in the journal Nature way

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<v Speaker 2>back when on the skin furrows of the hand. If

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<v Speaker 2>you're interested, you can go back and look it up.

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<v Speaker 2>But he said, there can be no doubt as to

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<v Speaker 2>the advantage of having besides their photographs, a Nature copy

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<v Speaker 2>of the forever unchanging finger furrows of important criminals. So

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<v Speaker 2>he asked other scientists. He thought that this was going

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<v Speaker 2>to be a major breakthrough and asked other scientists to

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<v Speaker 2>help publicize his findings. Sent observations and classification system for

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<v Speaker 2>fingerprints too, you know a guy named Charles Darwin. Charles

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<v Speaker 2>Darwin then shared it with his cousin, the mathematics mathematician

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<v Speaker 2>Francis Galton, and he saw their potential of fingerprints to

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<v Speaker 2>help solve crimes. He decided to help develop a system

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<v Speaker 2>to classify and to analyze them.

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<v Speaker 1>Birds of a feather, kids, this is why you should

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<v Speaker 1>have friends that are smart, because then you too will

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<v Speaker 1>be smart. He was the only person Henry studying fingerprints

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<v Speaker 1>around the same time, there was William Herschel. He was

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<v Speaker 1>a German born British astronomer. Astronomerscuse me, working in India

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<v Speaker 1>had long kept fingerprints, records of them, began using them

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<v Speaker 1>to seal contracts. And then Galton the mathematician collected the

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<v Speaker 1>findings of fields in Herschel and in eighteen ninety two

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<v Speaker 1>published his own classification system. So anyway, that was a hit,

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<v Speaker 1>and then it became widely publicized that this was a thing.

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<v Speaker 2>There are some problems with fingerprinting, However, the loops and

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<v Speaker 2>the whirls and the arches can shrink the pool of

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<v Speaker 2>possible matches to somebody, but they're not nearly enough for

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<v Speaker 2>an identification for some people. The second level of analysis

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<v Speaker 2>includes the ridges of a print.

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<v Speaker 1>For every partial fingerprint found at a crime scene, you

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<v Speaker 1>can find an expert witness that will take the sand

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<v Speaker 1>and tell you that that fingerprint is not reliable. Well, now,

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<v Speaker 1>not only will you have the advice of whatever expert

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<v Speaker 1>witness was handsomely paid by the defense to take the

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<v Speaker 1>stand and tell you that fingerprint evidence was not reliable.

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<v Speaker 1>AI has stepped into the conversation and says that fingerprints

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<v Speaker 1>are not unique. How will this affect cases in the

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<v Speaker 1>future and retroactively, Perhaps that will be up next.

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<v Speaker 4>You're listening to Gary and Shannon on demand from KFI

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<v Speaker 4>AM six forty stories.

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<v Speaker 1>We're following for you today, of course, Keeping and I

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<v Speaker 1>on the stock market. US stocks dove today after a

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<v Speaker 1>second day reversals. Good morning, and then fear at the

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<v Speaker 1>close because we still don't or Wall Street still doesn't

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<v Speaker 1>have any idea what to make of what's going on

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<v Speaker 1>with tariffs. Yesterday we kind of saw a turnaround after

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<v Speaker 1>their rumor came out that the administration was thinking about a.

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<v Speaker 3>Pause in the tariffs.

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<v Speaker 1>China came back hard hitting yesterday into this morning. Now

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<v Speaker 1>we know about the fight between Peter Navarro, the trade

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<v Speaker 1>advisor to Trump, and Elon Musk. So there's a lot

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<v Speaker 1>of uncertainty, and we know one thing for sure, the

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<v Speaker 1>stock market does not enjoy uncertainty.

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<v Speaker 2>Sports wise, Angels are in Tampa to take on the Rays.

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<v Speaker 2>Four or five first pitch today. Dodgers lost to the

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<v Speaker 2>Nationals last night, six to four, but they will play

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<v Speaker 2>again tonight three forty five.

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<v Speaker 3>First pitch.

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<v Speaker 5>So hey, Gary and Shannon is Karen, Yes, the clicking

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<v Speaker 5>of the pen super annoying.

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<v Speaker 3>And that's all I heard.

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<v Speaker 1>I have annoyed.

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<v Speaker 3>It was Gary was saying.

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<v Speaker 2>And then also, Gary, can you talk like you're drunk

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<v Speaker 2>all the time.

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<v Speaker 3>It's great.

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<v Speaker 1>It kills me and just makes my day better. Okay, okay,

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<v Speaker 1>they that is.

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<v Speaker 2>My wife says that she can never tell, she can

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<v Speaker 2>never tell when I've had too much a drink ever,

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<v Speaker 2>vocally like that.

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<v Speaker 3>I don't. I don't slur my words.

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<v Speaker 1>Or part of it is that you don't speak.

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<v Speaker 2>That's part of it, because I'm super self conscious of that.

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<v Speaker 2>If I ever start to feel like, you know what,

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<v Speaker 2>that was probably one too many and I'm going to

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<v Speaker 2>start slurring my words here, I'll use words with hard consonants,

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<v Speaker 2>and that's it. You don't start with a year or

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<v Speaker 2>a You got to start with a or a.

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<v Speaker 1>Or just knowing that alone is you're already a head

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<v Speaker 1>of the game.

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<v Speaker 3>The game fingerprint. I was just going to give you that. Oh,

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<v Speaker 3>thank you. I knew a lot about fingerprints that you

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00:23:55.359 --> 00:23:58.359
<v Speaker 3>just educated me. Thank you so much, Thank you so much.

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00:23:58.400 --> 00:24:00.599
<v Speaker 2>Buckle up, Buttercup, because it's gonna to get a little

433
00:24:00.640 --> 00:24:04.720
<v Speaker 2>bit more interesting. So we're talking about fingerprint analysis for

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00:24:04.759 --> 00:24:09.440
<v Speaker 2>true crime Tuesday right. Long been one of the benchmarks

435
00:24:09.559 --> 00:24:14.200
<v Speaker 2>of a crime scene investigation is looking for fingerprints, and

436
00:24:14.359 --> 00:24:18.759
<v Speaker 2>there has been a belief since fingerprinting began basically one

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00:24:18.799 --> 00:24:23.319
<v Speaker 2>hundred and fifty years ago, that individuals you and I,

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00:24:23.799 --> 00:24:28.200
<v Speaker 2>on our individual fingers have different fingerprints. For example, if

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00:24:28.240 --> 00:24:33.960
<v Speaker 2>I leave my thumb print on a glass and they

440
00:24:34.000 --> 00:24:37.759
<v Speaker 2>are searching for my index finger print, that those things

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00:24:37.839 --> 00:24:38.720
<v Speaker 2>will not match.

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00:24:39.279 --> 00:24:40.079
<v Speaker 3>So that would be.

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00:24:42.000 --> 00:24:45.519
<v Speaker 2>You could not pin me at the crime scene because

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00:24:45.559 --> 00:24:51.480
<v Speaker 2>my thumb print wouldn't match my index fingerprint. So an

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00:24:51.559 --> 00:24:56.480
<v Speaker 2>undergraduate senior at Columbia Engineering named Gabe gwo put together

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00:24:56.519 --> 00:25:00.759
<v Speaker 2>a study where he fed into this thing about sixty

447
00:25:01.200 --> 00:25:05.240
<v Speaker 2>into a database about sixty thousand fingerprints, and there were

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00:25:05.359 --> 00:25:09.359
<v Speaker 2>certain pairs of fingerprints that did belong to the same

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00:25:09.400 --> 00:25:12.720
<v Speaker 2>person from different fingers, but that they belonged to the

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00:25:12.759 --> 00:25:17.640
<v Speaker 2>same person. The AI system was able to tell at

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00:25:17.640 --> 00:25:22.720
<v Speaker 2>a surprisingly high rate when prints that looked different actually

452
00:25:22.759 --> 00:25:25.839
<v Speaker 2>came from the same person, so that you would be

453
00:25:25.920 --> 00:25:30.759
<v Speaker 2>able to tell from a thumb print what the index

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00:25:30.920 --> 00:25:34.480
<v Speaker 2>print looked like or which of those was the match

455
00:25:35.039 --> 00:25:40.200
<v Speaker 2>from the same person. And that's just with sixty thousand fingerprints.

456
00:25:40.680 --> 00:25:47.200
<v Speaker 2>They're saying now imagine how specific and how accurate it

457
00:25:47.240 --> 00:25:51.079
<v Speaker 2>would be if it had access to millions of fingerprints

458
00:25:51.119 --> 00:25:52.559
<v Speaker 2>and not just tens of thousands.

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00:25:53.240 --> 00:25:56.759
<v Speaker 1>This is a problem when it comes to the peer

460
00:25:57.079 --> 00:26:03.359
<v Speaker 1>review process. This was rejected this project by a well

461
00:26:03.519 --> 00:26:08.079
<v Speaker 1>established forensics journal did not accept the suggestion that different

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00:26:08.319 --> 00:26:14.039
<v Speaker 1>fingers might produce prints with shared characteristics. The paper was

463
00:26:14.079 --> 00:26:19.799
<v Speaker 1>turned away again when it went to get a second opinion.

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00:26:19.880 --> 00:26:23.279
<v Speaker 1>So to speak, this is more than one hundred years

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00:26:23.319 --> 00:26:26.559
<v Speaker 1>of accepted practice that you're trying to disrupt and overturn.

466
00:26:27.400 --> 00:26:30.359
<v Speaker 1>But it was finally recognized. The study was and published

467
00:26:30.400 --> 00:26:36.279
<v Speaker 1>and the peer reviewed journal Science Advances. So reticent to

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00:26:36.440 --> 00:26:42.160
<v Speaker 1>change the scientific community is, but nevertheless open to the possibility.

469
00:26:42.920 --> 00:26:45.720
<v Speaker 1>It's funny that the scientific community would push back on

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00:26:45.759 --> 00:26:46.599
<v Speaker 1>something like this.

471
00:26:46.920 --> 00:26:48.279
<v Speaker 3>They don't like to be proven wrong.

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00:26:48.319 --> 00:26:50.319
<v Speaker 2>But that's the whole point of science is to then

473
00:26:50.640 --> 00:26:54.799
<v Speaker 2>ask the questions of is this right? Does this work?

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00:26:55.039 --> 00:26:57.400
<v Speaker 2>Can we make it better? All of those things right?

475
00:26:58.119 --> 00:27:00.279
<v Speaker 2>And if I die is going to help us do that,

476
00:27:00.359 --> 00:27:02.400
<v Speaker 2>then that's that's probably a good use of it.

477
00:27:02.720 --> 00:27:05.000
<v Speaker 1>I wonder what you would say about this if you

478
00:27:05.079 --> 00:27:05.960
<v Speaker 1>were drunk.

479
00:27:07.079 --> 00:27:11.319
<v Speaker 2>I would say I would say that the if you

480
00:27:11.720 --> 00:27:14.640
<v Speaker 2>if you get your stop looking at my fingers.

481
00:27:16.359 --> 00:27:17.200
<v Speaker 3>I don't know what I would say.

482
00:27:17.640 --> 00:27:25.319
<v Speaker 1>Drunk, Well, you're your fake drunk person? Is not you drunk,

483
00:27:25.400 --> 00:27:28.119
<v Speaker 1>it's a different person. No, I like him. He's fun

484
00:27:28.400 --> 00:27:30.480
<v Speaker 1>I'm smarter, you're smarter?

485
00:27:30.839 --> 00:27:31.000
<v Speaker 4>Yes?

486
00:27:31.200 --> 00:27:34.240
<v Speaker 3>Or is that the drunk guy saying he's smarter, I'm smarter?

487
00:27:37.160 --> 00:27:38.319
<v Speaker 3>Why is that so funny?

488
00:27:38.319 --> 00:27:38.720
<v Speaker 4>I don't know.

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<v Speaker 2>John Cobelt always coming up next. We'll see you tomorrow.

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<v Speaker 2>Stay drive everybody, blessings. You've been listening to The Gary

491
00:27:45.920 --> 00:27:48.119
<v Speaker 2>and Shannon Show, you can always hear us live on

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00:27:48.240 --> 00:27:51.160
<v Speaker 2>KFI AM six forty nine am to one pm every

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00:27:51.319 --> 00:27:55.039
<v Speaker 2>Monday through Friday, and anytime on demand on the iHeartRadio

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<v Speaker 2>ap
