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Speaker 1: Greg Glassman is the founder and former CEO of CrossFit.

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This is the second part of an interview we did

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with him, first one really focusing on CrossFit. The death

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of one of the athletes in a drowning event very tragic,

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as if you saw the first interview, really hit Greg

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hard that that happened. We also sat down, though, with

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a purpose, and that was to discuss the broken nature

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of science in America. The scientific process has been perverted

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and destroyed by people who seek to use it for profit.

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Greg of course made a huge profit with the scientific

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mind in CrossFit by defining fitness and then going about

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achieving fitness. But he made some predictions. Greg predicted that

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his process constantly varied functional movements performed at high intensity,

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which will increase your work capacity across broad time and

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modal spectrums, would result in creating athletes who could go

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squat five hundred pounds and then turn around and run

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a sub five minute mile That was unheard of and

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people said, you're insane, you can't do it. He predicted

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that this form of exercise would reverse type two diabetes,

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and it did. He has the mind of a scientist,

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and you know what he says doesn't work in science

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anymore peer reviewed papers. He has one thing in mind

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in terms of fixing science, which is to show people

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something called a pee value, to teach it, to feature it,

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and to honor it. This is the second half of

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my interview with my friend Greg Glassman, brought to courtesy

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of our YouTube channel YouTube dot com slash at the

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Todd Herman Show and to the good graces of God Almighty.

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Speaker 2: The Todd Herman Show is one hundred percent disapproved by

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big pharma technocrats and tyrants everywhere. Now from the high

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mountains of America. Here's the Emerald City exile God her Man.

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Speaker 1: This is so vital for people to understand. So let's

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go back to this is why I started with your

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predictions about what you were going to do with athletes. Okay,

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you made predictions. Those predictions have come true. You have

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a personally high p value, and your coaches and your affiliates. Okay,

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you made predictions, they came true. Your thesis has proven right.

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I want to just simplify this for people like me,

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just simpletons. I've lived in Idaho for four years. I

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know when I'm driving to the studio, I have learned

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that the trains cross between ten minutes before and ten

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minutes after the hour. I therefore know I'm going to

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avoid train crossings at that point. If I'm on AID

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and I'm headed east and I to a given exit

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prairie and I go, this is slow, I'm gonna jettison.

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These are me making predictive models over time. So you

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go back to the IHM E. They made some predictive models.

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None of them were right, all of them catastrophized. I

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believe on purpose, and we were told one hundred percent

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safe and effective, et cetera. Back to the band topic.

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That to me is not just junk science, it's purposely bad.

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But you're saying science can be measured by if you

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are going to discover some patterns and some truths, and

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you're going to come to us with solutions and ideas

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and theses. Here's the simple way to figure out if

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your science is solid. Make a prediction and have it

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come true.

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Speaker 3: Yeah, absent to predictive record, we got nothing and a

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model that, in fact, I would obligate a model to

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some if possible, some retrodiction. If you've got a climate model,

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it would be nice if it could show the past

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ice ages, even any ones, you know, right, But a

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forward looking model with no track record is not yet science.

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And I don't care how many bow ties and white

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lab coats that computers you involve until it's until it's

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predicted something.

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Speaker 2: You know.

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Speaker 3: I need a forecast of a measurement that comes true,

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and we're going to attach a number to that and

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give it some predictive value. And that's that's the validation.

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But we've skirted over something else that I think is critical,

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and that is it. There's there's two types of corruption,

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two common definitions. And the one we all know of

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the the bad behavior, you know, the ill gotten game

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kind of right, the ten thousand dollars wrapped in aluminum

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foil and the senator's freezer, which is hilarious. You can

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buy a senator, it's amazing, Right, They're cheap, they're really cheap.

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They're horrors and cheap horse. But that corruption we all

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know of. But there's another sense of corruption, and it's

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like the corruption of a computer file where a one

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or a zero falls off the page and now the

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thing doesn't work as intended. So we have an impairment

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of function by a design shift or change. Right in science.

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We had an epistemic corruption that gave fertile grounds refuge

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and hid that the evil corruption. And that's it's an

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epistemic failing. It's a failing of process and what we've done.

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In fact, my broken Science initiative gathered the friends we have,

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and I couldn't I have a dream list of people

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from around the world that know the things that we know.

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I just I made friends of my mentors, of my

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ideological intellectual mentors, but we sent word out. I had

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Emily drop them aligne and said, when science replaces a

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predictive strength with science is the determinant of a model's validity,

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science becomes nonsense. And Buddy, that was like the perfect

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bass lure. I didn't have a single one of those

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people that I admired do anything other than we respond

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instantly to that. Matt Briggs response was you think I

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got a phone number right, And so it was an

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easy thing to put out to But that is indeed,

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what's happened is that the predictive strength of models as

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the determinant of validity. And again I said that it

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not only is the determinant single space sole determinant of validity.

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There's nothing else. There's nothing else that matters. My father's

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line was whether it comes to you from inspiration or

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perspiration does not matter. It's the predictive strength. So if

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you have a bad dream of equal mc square, its

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value lies in its predictive strength, not in the source.

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And that corruption has given refuge to this second level

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of corruption, And that basically is it. With enough industrial money,

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I can create any science I want, given this current

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method where consensus is what's required rather than predictive strength.

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Speaker 1: Exactly. And now, okay, so you've now hung out there

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this hanging participle of peer reviewed papers. I want to

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talk about that because that's been the gold standard. Greg

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and I can both kind of geek out on science,

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him more than me because he's ten thousand times smarter

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than I am roughly ten thousand and one, Okay, maybe

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a little less. One of the things we can geek

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out and is the way devices can help us and

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not HARMSS. There's a lot of harmful things in tech

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tracking methodologists, et cetera. We've talked about that, Greg and I.

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One of the ways that can help you is if

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you are a business owner, like in an Airbnb or

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vrbo and you have guests in and out. Some guests

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are going to leave behind funky smells and not saying

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they stink. I'm saying they can be have wet dogs,

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or they could be out swimming themselves, or maybe they've

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done a bunch of exercise, or they cook some spicy foods.

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You know, it might smell good to you, but the

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next guest might hate garlic. So what you can do

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is purchase the Eden Pure auxy Leaf two device and

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right now, buy one, get one free. That's a heck

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of a savings. The device works by producing ozone oh

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three molecules in your home, your business, your airbnb, whatever

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space you're in, and those molecules bond to the molecules

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of bad smelling things like cat litter in your house,

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cigarette smoke in your home or again in the airbnb,

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or your medical clinic, whatever it is you want people

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to smell. Good smells. This isn't perfume, it's not waxy candles,

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it's not those putrid, horrible essential oils. Can't stand those things.

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This smells like the day after a thunderstorm. We run

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this every single day in our studio because we can't

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open the doors or windows it's silent and potent edenpri

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deals dot com enter code todd Bogo. That's eating per deals.

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The code is Toddbogo and you got one because you

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bought one, buy one, get one free. Eidenpre deeals dot

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com enter code todd Bog's. Let me go back a

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little bit to simplify for again, people like me, I

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have a theory politically greg that there are smart, evil,

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scheming people on top. In the middle, there's folks like

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me that we do our thing, We raise our families,

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we make a little money, we retire, we do things,

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we go to church, we do that. On the bottom

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there's stupid supplicants who will do whatever they're told because

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they know they can't cut it in the commercial world.

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So on the top you have someone who might.

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Speaker 4: Say, well, I have no problem look when they attack me,

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but I represent science itself, right, So you know, scheming

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people who have a lot of money, and they're getting

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a lot of nefarious money, and even publicly they're making

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way too much money.

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Speaker 1: Then on the bottom of that, you've got people who wear,

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you know, really bright scarves and say things like, well,

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but it was Thanksgiving and it was my family, so

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I mean, we took that risk, right, you know people

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like that in the middle. There's you and I. Well,

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not you, because you're on the you happen to be

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a good man on top of the intellectual heat. But

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I'm in this middle area. Then this other aspect to this,

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that consensus thing. We have turned science into a popular

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girl thing. Right, Why do people want to this particular

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dress because all the girls are wearing it? Why are

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the girls wearing it because all the girls are wearing it.

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That's been applied then to peer review. This has been

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the global standard. And when I started to see this trend, greg,

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it was in transing kids and I had a discussion

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with people from a hospital, a very very powerful hospital

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that was one of the first to trans kids. They

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got very upset with me for what I said in

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the radio. They demanded a meeting. I'll take the meeting.

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Let's have the meeting. And management was there, and in

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this discussion, I just said, look, maybe I'm wrong. If

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I'm wrong, this is a bad thing to chemically and

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surgically alter these kids at the age of eleven and

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twelve against parental wishes. Maybe I'm wrong. Here's how you

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can prove it. What's the organic marker. Show me the

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organic marker the so called transgender cell, and then answer

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this question for me. Why do I have instance after

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instance after instance where suicidal intent was it modeled to

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increase it?

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Speaker 2: Did?

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Speaker 1: Why is that? And their response was this discussion is over,

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You're a bigot. And that was their predictive model was utopia.

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They were doing popular girl stuff. They axcept saying peer review.

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So you're here to tell me that peer review is

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not the gold standard.

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Speaker 3: No, in fact, it's it's not. It's not a part

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of science. It's not part of the scientific method. I mean,

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look at look. Science is really easy. Dave Still said

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it could be. It could be a there's an Australian

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word with drogo drongo I think is a it's a

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type of bird, but it's a it's an Australian pejorative

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for idiot. But he said, any drongo could understand basic science.

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And it looks like this. We take observations, which are

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registrations of the real world, and our senses are sensing equipment.

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Speaker 2: Yep.

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Speaker 3: We work to tie that to a standard scale with

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a well characterized air. We call that a measurement, and

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then we can take any measurement and and and project

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that onto a future unrealized measurement as a forecaster for

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measurement or an event. And and that's a model. And

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it's predictive strength determines whether it's a conjecture, hypothesis, a theory,

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or a law. And you test it. And it's something

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that Benedictine Monk could do and change genetics forever without

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permission from anyone with beans yes, right, right right. And

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it's someone that can turn their their their glass to

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the heavens and makes careful recordings and play with them,

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can also make immense discoveries. But think on the predictive strength.

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Think of the power of the individual that told the

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Emperor King or whomever person you know, Caesar, that there

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was going to be a any clips of the sun

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in two hundred fifteen days, seven hours and twelve minutes.

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And you do nothing with that. You don't believe it,

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you don't accept it. The guy doesn't get awards for

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the prediction. We don't, you know, it becomes science at

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the moment that it happens. And of course then you're

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interested in another one. Can you do it again?

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Speaker 1: Yeah?

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Speaker 3: Right right? And I'm also interested in what the methodology

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was that it enabled you to do that, But the

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validation came through the predictive strength.

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Speaker 2: And the.

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Speaker 3: Reason that astronomy is a science in astrology is not

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is that you're going to have trouble showing me that

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aris make better lovers, and I'm going to easily tell

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you when the next solo eclipse is going to be

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here in Idaho. And that distinction is one that Carl

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Popper missed. And it was funny because Thomas Coon pointed out,

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almost in real time, this doesn't even sir, of your

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original purpose, which was the demarcation of astrology from astronomy.

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As an example. Yeah, and that is his famed falsification,

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which got baked into a Supreme Court decision, sadly enough,

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which gets us in another kind of area. But what

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I'm also playing with and looking at, funding and talking,

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and that is a Supreme Court's Dialbert decision that fundamentally

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enshrine peer review and consensus and falsification and all of

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that nonsense to give standing legal standing in courts.

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Speaker 1: Consensus is easy to come by when there's a punishment

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for coming outside of it. And we go back to

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the COVID era. So we had all these scientists who

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came along and said, hey, you know what this wuhan,

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this virus looks like it came out of a lab.

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It looks human human modified. And they said this, and

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then there was this phone call and this guy gets on,

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well really we need to and all of a sudden,

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the next day the predictions change or their analysis changed,

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and then they got a bunch of money, right, and

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now the peer review came along. Well no, I mean

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this has been debunked because there's a cost for going

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outside the peer group. And this is why I'm referring

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to it as like teen or adolescent stuff. You know,

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when I was a kid, I couldn't admit that I

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like Hank Williams Junior. Sure, I liked the ac DC

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and Aerosmith a lot. But someone when they found out

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out a Hank Williams Junior album, man I was at risk.

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Or I listened to Paul Harvey in my current high

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school like what you're not out there ahead banging and

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you at the broken science initiative, Then you're arming people

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like me, people who are teachers, academics and others to

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actually be scientific, to actually act with rigor and that's

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what I wanted to get into and talk a little

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bit about Emily. You should give your partner a little

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light to it, and.

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Speaker 3: Let me come back to Emily, and by way of

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this we'll get right to it. I want to thank

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Roger Kimball for recently turning me onto this little blip

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that came from a John Alexander Smith at Oxford, a

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dean there and professor of moral philosophy, lecturing a junior

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class coming back in nineteen fourteen, and he tells them, gentlemen,

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you are now about to embark on a course of

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studies that will occupy you for two years. Together they

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form a noble endeavor adventure. But I would like to

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remind you of an important point. Some of you, when

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you go down from the university, will go into the church,

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or to the bar, or to the House of Commons,

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or to the Home Civil Service, or the Indian or

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Colonial service, or into various professions. Some may go into

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the army, some in the industry and commerce. Some may

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become country gentlemen. A few, I hope a very few

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will become teachers or dons. Let me make this clear

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to you, except for those in the last category. Nothing

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that you will learn in the course of your studies

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will be of the slightest possible used to you in afterlife,

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save only this that if you work hard and intelligently,

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you should be able to detect when a man is

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talking rot. And that is, in my view, is the main,

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if not the sole, purpose of an education. And what

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I'm to do is we're building material. I want to

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give people protection from the rot, and I think that

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you can do that, and the COVID thing gives us

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a lot of a lot of fertile ground here. Somebody

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asked me what's the market for a seminar on epistemology?

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And I said, well, were you vaccinated? I said yeah,

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and I go. Be fun to talk about why. If

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you said no, I go, it'd be fun to talk

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about why these are discussions that need to need to

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be had. And if it was the science that compelled

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you to it. I'd like to know what you mean

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by science and what you think it is that science

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does that earns your trust. I want to give you

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this in Emily. Emily was Emily Kaplan was employed by

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CrossFit Inc. In public relations and worked miraculously and effectively

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with our friends at the Podesta organization. Between between David

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Marine at Podesta and Emily Kaplan, we just we just

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got fantastic results. But she was a very capable and

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able defender of of my efforts and work and stopped

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big media from publishing some some blatant lies about me

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and uh after the sale of the company, Uh, the

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interest we had in broken science and insistent on this

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subject of broken science. I see myself as one of

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the few professionals in the field and that I have

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spent millions of dollars pursuing bullshit science and it's and

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its purveyors and and and found victory in federal and

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state court.

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Speaker 1: So broken science came at you. This is what's so

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glorious about this. It came at you. But then it

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came at society. And I think it's come at society

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multiple times. I think the as I mentioned, the tranding

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of kids is predicated upon truly nefarious broken science created

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from the human rights campaign out of San Francisco run

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by two known pedophiles, billions of dollars behind the scenes,

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to non governmental organizations, to bureaucrats, never in front of parents.

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That was an attack on this And then Harvard's. I

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don't remember how much money they took, but I think

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it was like forty five million bucks, which is nothing

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to them to do a psychographic announcements in psychological analysis

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on how to pressure PIP. You were talking about the injections,

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So they had the fear of loss, opportunity of gain.

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You know what was one of the big ones was

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being ostracized, being removed from your friendship group, your family group.

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That was one of the pressures they wanted to use.

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They did it with minorities, and at that point it

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was it was Golong get along. They had all these

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psychographic analyzes. One of my proudest moments in media was

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when I was on Russia's program and I started to

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mock their outreach to rednecks like me living in Idaho,

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and they did this, this is this guy, you know,

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I gotten mowed the back forty on my tractor. I

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would make sure I'm doing the right thing for my neighborhood.

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That's why I got vaccinated. And I did this thing

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about knowing I'm on my f one twenty five and

352
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just mimicking this. That ad Greg was gone the next day,

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and I so want to foil that and find that out.

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So broken science came for you. You defeated it. It

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has come also though to our kids. It is broken

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science to say a girl as a boy because the

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girl says so, or a boy says so. I mean,

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it can't get more broken. That's it's come about in

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so many regards. When I first met Greg, it was

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at in person. I've been talking with him on the

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phone many many times, hours at a time. In fact,

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Greg was kind enough to invite me down to heat

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and his wife's home in near Pataluma, California, and that

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was pretty Again this is a word I have used

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maybe three times in my life. It was a little

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surreal to be driving up to Greg's home and hear

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are all these legends of the sports sport that I love.

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And I had said, hey, what can I bring? Like

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Mama raised me that you bring stuff to someone's house.

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And Greg was so kind. You laughed to Todd, We've

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got so much steak and lobster, And I mean, if

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you want to bring something, that's great, but you please

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don't feel like you have to. But I know Greg,

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and I know his love, I know his love for

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the military. I mean crossfits has been not really joined

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at the hip, but has been working with the Navy

377
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Seals and training first responders for years. So I brought

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a bag of bone Frog coffee. If you were willing

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to bring a bag of coffee as a gift to

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a guy with as much financial success as Greg has

381
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and as much philanthropus E. Gauge as in as how

382
00:21:27,759 --> 00:21:29,839
kind he is with his friend, you must really love

383
00:21:29,839 --> 00:21:33,000
the coffee. I do. Bone Frog coffee is made by

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00:21:33,000 --> 00:21:35,680
my friend Tim Krookshank, a retired Navy Seal who did

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three tours of duty on our behalf, and he was

386
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coached in that by a guy named Dave Stewart who's

387
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a coffee legend. He created Seattle's Best coffee. And I

388
00:21:43,519 --> 00:21:45,680
don't remember the blend I brought. I think it was

389
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probably the Bone Fog Classic. If I were to do

390
00:21:48,240 --> 00:21:50,359
it again, I'd probably used the goat Locker blend. I

391
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gave that to someone the other day. Funny story about this.

392
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I later wore a bone Frog hat around One of

393
00:21:57,759 --> 00:22:00,599
the guys who helps run Crossfits was Greg's partner. This

394
00:22:00,599 --> 00:22:02,799
is Dave Castro, who runs the games. I was wearing

395
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a bone Frog hat. I was at Dave Castro's place

396
00:22:06,200 --> 00:22:08,359
at an event for the Broken SIDS Initiative, and Greg

397
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and Dave, who was a Navy seal, saw my hat

398
00:22:11,160 --> 00:22:13,279
and he kept side eye in my hat. He finally said, hey,

399
00:22:13,359 --> 00:22:19,079
hey about your hat. I go, yeah, owner that company

400
00:22:19,079 --> 00:22:24,720
a seal. Absolutely, he goes, Pete better be, I said, Dave,

401
00:22:24,799 --> 00:22:27,240
I promise Tim his name is? He said, what's his name?

402
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What's his name? What's his name? I said, Tim? Crookshank?

403
00:22:30,400 --> 00:22:30,640
Speaker 3: He was.

404
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Speaker 1: He was a seal in a buds and search. He was,

405
00:22:32,519 --> 00:22:36,039
okay crook Shank, Okay, okay, don't he checked me. I

406
00:22:36,079 --> 00:22:40,039
loved it so much, protecting protecting his brother's reputation of

407
00:22:40,079 --> 00:22:42,799
the seals. Go to Bonefrog Coffee dot com slash todd

408
00:22:42,960 --> 00:22:45,480
get ten percent off your first purchase fifteen percent off

409
00:22:45,519 --> 00:22:48,640
subscription coffee. That's Bonefrog Coffee dot com slash todd. So

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talk about how the Broken Signs Initiative arms people, Well.

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Speaker 3: I think we're I think we've been right there. I

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think that we need to know what science is and

413
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what it isn't, and there's things that it'sn't and couldn't

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and shouldn't weigh in on. But there's also you know,

415
00:23:05,440 --> 00:23:07,839
we were when we were working with the Infant Swim Resource,

416
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we'd ask my father to provide the mathematics to show

417
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that that isr worked. And what we're doing is teaching

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infants to float. And the problem is is that in

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any kind of comparison, you have to find people that

420
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care but didn't take action about their children drowning as

421
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those that are willing to take ten minutes a day,

422
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six days a week for six weeks. The discomfort of

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that is beyond description. The fact that most people won't

424
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stay through the program. I understand the why of it.

425
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It's like watching your kid getting water boarded. Right. And

426
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at the end, my dad says, you want me to

427
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teach that floating to show you mathematical evidence for floating

428
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kids being better than sinking kids. And I said, fundamentally, yes,

429
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that's right. I think if you need that, show them

430
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to you share your kids taken away. Like I don't.

431
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He says, I think you're asking science to do something

432
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that it doesn't do.

433
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Speaker 1: Yeah, and you it's like.

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Speaker 3: It's like this. It's like, you know, I'll go to

435
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your I'll go to the town hall meeting on free speech,

436
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but I'm bringing a gun in case they lose the debate. Right,

437
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there are things, there are things that are outside of

438
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the space of logic and or discourse maybe, and I'll

439
00:24:18,400 --> 00:24:22,359
take one of them is men and women's sports. The

440
00:24:22,759 --> 00:24:25,440
problem with with someone knocking my little girl out of

441
00:24:25,440 --> 00:24:29,559
her socks, he's got a penis hiding amongst a bunch

442
00:24:29,559 --> 00:24:33,960
of girls playing lacrosse. I'm not I'm just I don't.

443
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I don't have any interest in the discussion of.

444
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Speaker 1: That, because.

445
00:24:41,160 --> 00:24:45,200
Speaker 3: Why it shouldn't you want me to talk about it

446
00:24:45,240 --> 00:24:47,119
so you can do something horrible to me. That's not

447
00:24:47,200 --> 00:24:49,160
the Those aren't the kind of things. I'm not going

448
00:24:49,240 --> 00:24:52,799
to have a discussion with home invasion robbers either. It's

449
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not a difference of understanding. It's not going to resolve

450
00:24:56,519 --> 00:24:57,559
itself in a talk.

451
00:24:58,799 --> 00:25:02,119
Speaker 1: So you have built this, You've made friends of your mentors,

452
00:25:02,240 --> 00:25:05,319
you put together an organization people who've helped you define science.

453
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You've also talked with me about the creation of materials

454
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for schools, for video repositories, so that actually teachers can

455
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get back to teaching based upon what a scientific model

456
00:25:17,039 --> 00:25:20,000
would look like in a healthy way. I could see

457
00:25:20,039 --> 00:25:23,799
that just delivering change beyond greg not just science, not

458
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just people avoiding junk science, not just people like getting

459
00:25:26,920 --> 00:25:29,920
victimized by a bad meeting doctor, Hey, you should take

460
00:25:29,920 --> 00:25:31,720
a stat and why will everyone else has taken the

461
00:25:31,759 --> 00:25:36,440
stat and status are tasty, but also reintroducing skeptical thinking.

462
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Speaker 3: Yes, at the most fundamental level, the trivium and quadrivium

463
00:25:40,200 --> 00:25:43,720
need a bit of a mending to some modern understanding

464
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and simple things like like you know, at the point

465
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that a kid can do long division and understands fractions,

466
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ten eleven, twelve years old at the latest, I would hope, Yeah,

467
00:25:53,759 --> 00:25:56,160
at that point it's time to start talking about things

468
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like conditional probabilities and show give like a Carmagora drawing

469
00:26:01,519 --> 00:26:06,319
a geometric interpretation of a given B and show what

470
00:26:06,440 --> 00:26:08,880
be given A would look like. And even little kids,

471
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ten year olds, my kids can see that they're not

472
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the same, and we're starting there. We have a useful

473
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bit of something in your education that I can turn

474
00:26:18,200 --> 00:26:22,200
into a roadblock to some of the over the cliff

475
00:26:22,279 --> 00:26:26,000
mistakes that are made routinely in medicine, especially in the

476
00:26:26,039 --> 00:26:33,519
field of diagnostics. Just talking about the prosecutor's fallacy. It's

477
00:26:33,519 --> 00:26:38,160
a problem in legal circles, but you can see the

478
00:26:38,200 --> 00:26:43,920
deficiency in our scientific literacy. And I think what's wonderful

479
00:26:44,039 --> 00:26:49,720
is that the opportunity for correction begins at eight, nine,

480
00:26:49,799 --> 00:26:53,000
ten years old. I think that kids need to be

481
00:26:53,039 --> 00:26:57,400
taught what science is ahead of any particulars of science. Yes,

482
00:26:57,680 --> 00:27:00,839
it is sourcing, repository of man's objective knowledge of validation

483
00:27:00,920 --> 00:27:04,440
comes from predictive strength. That is the source of the objectivity,

484
00:27:04,759 --> 00:27:08,119
the sole rational basis for trust. You know what, on

485
00:27:08,839 --> 00:27:10,680
a replication crisis with something we.

486
00:27:10,920 --> 00:27:14,240
Speaker 1: Directly we can talk about this replication. So explain that

487
00:27:14,240 --> 00:27:14,839
for everybody.

488
00:27:15,039 --> 00:27:19,119
Speaker 3: Yeah, John I and OT. He's published a seminal piece

489
00:27:19,160 --> 00:27:23,160
that started a wave of wonderful discussion. But what he

490
00:27:23,160 --> 00:27:26,519
said is most research findings are false. And he's saying

491
00:27:26,599 --> 00:27:29,960
is in the space of biomedical research that over half

492
00:27:30,000 --> 00:27:33,960
of the research findings won't wouldn't pan out, won't replicate.

493
00:27:34,480 --> 00:27:38,799
We know by direct clinical evidence, by attempting to replicate

494
00:27:39,400 --> 00:27:44,559
what is it fifty three preclinical studies in on collagen

495
00:27:44,640 --> 00:27:48,400
hematology that what was it? Eleven percent of them would replicate.

496
00:27:48,880 --> 00:27:52,200
And these are foundational works on which the whole of

497
00:27:52,359 --> 00:27:59,160
cancer research, chemopharmacy, pharmaceutical intervention is based on this work,

498
00:27:59,759 --> 00:28:03,000
and none of these studies have been retracted. We found

499
00:28:03,039 --> 00:28:06,480
out that that paltry eleven percent. I think six to

500
00:28:06,599 --> 00:28:12,559
fifty three that might be the number. But the replication

501
00:28:12,680 --> 00:28:16,559
what's fascinating, I think, and the replication crisis. There's a

502
00:28:16,559 --> 00:28:19,799
lot of people talking about it. There's I didn't pick

503
00:28:19,839 --> 00:28:22,680
the name broken science when I throw it into Google.

504
00:28:22,720 --> 00:28:24,759
There's a lot of people that have used that terminology

505
00:28:24,799 --> 00:28:27,720
in reference to science that won't replicate and the failures

506
00:28:27,720 --> 00:28:30,960
of entire fields like Alzheimer's research and that kind of stuff.

507
00:28:31,559 --> 00:28:35,279
But I don't think answer. I don't think we're in

508
00:28:35,319 --> 00:28:39,000
a fruitful line of discussion until we have the discussion

509
00:28:39,119 --> 00:28:44,599
is what was the rational expectation of replication? Because there

510
00:28:44,640 --> 00:28:47,400
is none. When I look at the science that will replicate,

511
00:28:47,680 --> 00:28:49,599
it's like, of course it didn't.

512
00:28:50,000 --> 00:28:53,599
Speaker 1: So this is me going bowling. I very rarely have

513
00:28:53,640 --> 00:28:57,440
ever bowled. I bowled two hundred ones once. Yeah, and

514
00:28:57,480 --> 00:28:59,519
you know what, Greg, in the next round of bowling,

515
00:28:59,680 --> 00:29:03,599
I got a bald. Almost everything right, and that obviously luck.

516
00:29:04,000 --> 00:29:06,440
Now we're not talking about luck here. I don't think.

517
00:29:06,559 --> 00:29:09,200
I mean, it could be bad, it could be the nefarious,

518
00:29:09,240 --> 00:29:13,920
you know, evil sandwich thing. We've talked about the evil people,

519
00:29:13,960 --> 00:29:18,400
the dumb people, but that replication crisis goes back to

520
00:29:18,559 --> 00:29:21,400
then to me, this definitional crisis, And this is where

521
00:29:21,400 --> 00:29:24,519
I think it's really important to go from the kids,

522
00:29:24,680 --> 00:29:28,599
arming them critical thinking, teachers, critical thinking. What about people

523
00:29:28,599 --> 00:29:31,200
who work in the field greg and they know they're

524
00:29:31,240 --> 00:29:34,519
working in corrupt fields, they know the sciences around them

525
00:29:34,559 --> 00:29:37,559
as corrupt. What can we do to help scientists like

526
00:29:37,559 --> 00:29:40,920
that who actually want to deliver quality work and actually

527
00:29:40,960 --> 00:29:42,720
don't want to be trapped at I'm thinking about a

528
00:29:42,720 --> 00:29:46,720
family member who her company got bought by Pfizer, and

529
00:29:46,839 --> 00:29:50,559
she's very concerned. She doesn't want anything like I just

530
00:29:50,559 --> 00:29:52,759
gonna be careful. She's a family member, but she's concerned,

531
00:29:52,799 --> 00:29:55,000
and I would be too, because Pfizer, in my judgment,

532
00:29:55,079 --> 00:29:59,640
is a criminal cartel. But she's a great scientist. So

533
00:30:00,000 --> 00:30:02,079
if you've given any thought to how we can help

534
00:30:02,240 --> 00:30:04,799
scientists like that have a home where they can actually

535
00:30:04,839 --> 00:30:09,359
practice real scientific rigor with good p values replicable results.

536
00:30:09,559 --> 00:30:12,799
Speaker 3: Yeah, you know. My solution to anything like this is

537
00:30:13,240 --> 00:30:17,480
networking hub form a network of people. It's interesting on

538
00:30:17,519 --> 00:30:20,599
a topic, how many individuals you could you know, pick

539
00:30:20,640 --> 00:30:22,519
your topic and find the people that are weighing in

540
00:30:22,599 --> 00:30:25,759
and then get to them and ask if they know

541
00:30:25,880 --> 00:30:29,039
of each other, and they will by work only. And

542
00:30:29,079 --> 00:30:31,440
so if you can get them together, and you're the

543
00:30:31,440 --> 00:30:33,519
one that does that, now you're part of the conversation.

544
00:30:33,640 --> 00:30:37,680
That's kind of been my dirty little trick is networking, hub,

545
00:30:37,720 --> 00:30:41,160
network and hub, and crazy things happen when you get

546
00:30:41,200 --> 00:30:45,400
these people together like that. When we got the crossfitting

547
00:30:45,440 --> 00:30:48,920
physicians together, I said, the interesting thing about this assembly

548
00:30:48,960 --> 00:30:53,759
of physicians is they all know something firsthand clinically in

549
00:30:53,839 --> 00:30:59,400
the gym that is orthogonal, if not antithetical to the

550
00:31:00,079 --> 00:31:04,720
party line. In medicine. They know truths about exercise, about squatting,

551
00:31:04,799 --> 00:31:08,720
about carbohydrate that other doctors don't know. Well, one of

552
00:31:08,759 --> 00:31:11,119
the doctors had said, we need to have pins for

553
00:31:11,200 --> 00:31:13,359
the doctors, and I said, what do you mean pins.

554
00:31:13,359 --> 00:31:15,480
She goes, little enamel pins. It'd be so cute and

555
00:31:15,519 --> 00:31:19,480
it'd see CrossFit health and I'm not now, we don't

556
00:31:19,559 --> 00:31:21,599
do this. So she had the pins made anyways and

557
00:31:21,640 --> 00:31:22,920
didn't tell me, and they had them mount and I

558
00:31:22,960 --> 00:31:26,480
was furious. But then on social media there'd be you know,

559
00:31:26,519 --> 00:31:28,400
the middle of a heart transplant, there's a picture of

560
00:31:28,400 --> 00:31:31,160
a guy that's got the CrossFit health thing, and all

561
00:31:31,240 --> 00:31:33,920
these people in a cute scenarios wanted a picture taken

562
00:31:34,200 --> 00:31:36,839
with their Crossit health. They were sending a message through

563
00:31:36,839 --> 00:31:40,799
their own community that they knew something that was important,

564
00:31:41,240 --> 00:31:45,720
vital in the essential in the sense of an essential

565
00:31:45,759 --> 00:31:49,400
amino acid optimal to the organisms functioning, that was counter

566
00:31:49,559 --> 00:31:54,319
to the party line. And so I think that lies

567
00:31:54,359 --> 00:31:56,160
the answer, because I tell you, the people have come

568
00:31:56,240 --> 00:31:58,519
forward for me. I'm on a soda tour and I

569
00:31:58,559 --> 00:32:00,079
got two guys in the back of the room. It

570
00:32:00,319 --> 00:32:02,599
look like they could be a security concern. Two big,

571
00:32:02,680 --> 00:32:04,799
thick guys, and it's kind of an egg ahead crowd.

572
00:32:05,160 --> 00:32:08,799
This is in DC. And they come forward and introduce

573
00:32:08,880 --> 00:32:12,880
themselves as being from CrossFit NIH, and I go, where's that.

574
00:32:12,960 --> 00:32:15,440
They go in the NIH wow and I didn't even

575
00:32:15,480 --> 00:32:17,559
know there was one. Yeah, there is one, and they go,

576
00:32:17,680 --> 00:32:19,960
you need to keep doing what you're doing. That there's

577
00:32:20,000 --> 00:32:23,480
a lot that know. When I'm while I'm suing the NSCA,

578
00:32:23,599 --> 00:32:28,319
I find out that they're having open workout competitions in

579
00:32:28,400 --> 00:32:31,680
their gym in Colorado Springs, and I'm introduce people that

580
00:32:31,759 --> 00:32:33,960
work there that are good people. I show up at

581
00:32:33,960 --> 00:32:37,319
the ACSM event. Guy comes up to me looking at

582
00:32:37,359 --> 00:32:38,960
the same thing I'm looking with. So I know who

583
00:32:39,000 --> 00:32:41,680
you are. I just want to say hi, and I'm

584
00:32:41,720 --> 00:32:44,160
a real fan of what you do. And for obvious reasons,

585
00:32:44,200 --> 00:32:45,640
I'm not going to take a picture with you, but

586
00:32:45,799 --> 00:32:48,720
keep it up. And so you get to live in

587
00:32:49,119 --> 00:32:51,920
that world. And that's that's a that's a neat space.

588
00:32:52,240 --> 00:32:52,680
Speaker 2: Yeah.

589
00:32:52,960 --> 00:32:55,680
Speaker 1: I was, you know, was at Microsoft for a few years,

590
00:32:56,599 --> 00:32:59,599
quite a lot of years, and this is a socidal point,

591
00:33:00,119 --> 00:33:01,759
and I know you've been kind with your time, so

592
00:33:01,799 --> 00:33:05,400
we can wrap it up. But I was in a

593
00:33:05,440 --> 00:33:12,880
meeting and a SVP was here presenting a plan and

594
00:33:12,920 --> 00:33:15,519
it was to acquire this company they thought was going

595
00:33:15,599 --> 00:33:18,839
to beat YouTube. This was back in the day, and

596
00:33:19,000 --> 00:33:21,960
I'm listening to this and everyone around the table is going,

597
00:33:23,119 --> 00:33:28,119
this is great, rock them on, perfect SVP. And it

598
00:33:28,119 --> 00:33:30,200
comes around to me and I'm one of like eight

599
00:33:30,559 --> 00:33:33,319
people in the room, and I said to the VP,

600
00:33:34,079 --> 00:33:38,240
have you made your decision? Well, no, that's why i'm here.

601
00:33:39,119 --> 00:33:43,119
Are you genuinely open to feedback? Yes, that's why I'm here.

602
00:33:43,160 --> 00:33:47,079
It's a stupid idea. This can't possibly catch YouTube. YouTube

603
00:33:47,079 --> 00:33:51,160
has a snowball algorithm. We don't yet even understand. It's

604
00:33:51,200 --> 00:33:53,920
got a massive repository of videos. Do you understand that

605
00:33:53,920 --> 00:33:56,279
they have more video than all TV networks combined? And

606
00:33:56,319 --> 00:33:59,480
it's also all meta analyzed with keywords? Do you understand it?

607
00:33:59,480 --> 00:34:01,359
It's not ad you service, it's a search engine. It's

608
00:34:01,400 --> 00:34:03,519
going to be the world's larger search engine, but with

609
00:34:03,559 --> 00:34:06,000
more valuable content. Because it's audio video. I mean to

610
00:34:06,119 --> 00:34:08,280
understand that they're going to be doing live video, et cetera.

611
00:34:08,400 --> 00:34:11,440
This thing isn't five years behind, it's five hundred years behind.

612
00:34:11,679 --> 00:34:13,800
This is a stupid purchase. You'd be wasting money, You'd

613
00:34:13,840 --> 00:34:17,679
embarrass yourself. And he looked at me and he goes,

614
00:34:17,760 --> 00:34:20,440
that's why you're here. And then he looked around the

615
00:34:20,480 --> 00:34:22,440
rem and he goes, why was he the only one?

616
00:34:25,480 --> 00:34:27,840
And later a guy came up to me and he

617
00:34:27,920 --> 00:34:29,360
was a GM two and he came up and said

618
00:34:32,119 --> 00:34:36,880
thank you. And I don't I generinely don't curse that much,

619
00:34:37,159 --> 00:34:43,039
but I actually said, f off, you left it to me.

620
00:34:44,079 --> 00:34:45,679
I'm the junior guy in that room. You've been here

621
00:34:45,719 --> 00:34:49,320
fifteen years. I'm the guy who has to say that right,

622
00:34:49,559 --> 00:34:53,239
No speak up. So my point, Greg is you have

623
00:34:53,400 --> 00:34:57,360
earned and earned it well, earn grown wealth enough that

624
00:34:58,079 --> 00:35:01,199
they can't do much to you. They could assassinate you,

625
00:35:01,679 --> 00:35:06,000
God willing, they won't. They can threaten you. They've tried that,

626
00:35:06,159 --> 00:35:10,119
they tried to ruin you in court. And what do

627
00:35:10,119 --> 00:35:13,599
you say to people who don't have your wealth but

628
00:35:13,760 --> 00:35:16,920
need to speak up? Because, Greg, I think the time

629
00:35:17,000 --> 00:35:18,960
is short to tell truth. I mean, I think God's

630
00:35:18,960 --> 00:35:21,239
showing us we're personally. You and I have never really

631
00:35:21,239 --> 00:35:22,840
talked about faith, but person I think we're in an

632
00:35:22,960 --> 00:35:26,039
end Times center. Everybody thinks that everybody thinks that we

633
00:35:26,039 --> 00:35:27,960
should talk one day about the p value of Isaiah

634
00:35:28,000 --> 00:35:31,239
and Daniel. But what do you say to people who

635
00:35:31,320 --> 00:35:33,800
know they should speak up but they're afraid.

636
00:35:35,079 --> 00:35:38,840
Speaker 3: I fully understand that, you know, I'm I can't tell

637
00:35:40,599 --> 00:35:44,000
a football player guy in the NFL I had. I

638
00:35:44,079 --> 00:35:45,480
couldn't look him in the eyes and tell him you

639
00:35:45,519 --> 00:35:49,480
got to quit taking steroids. I wasn't gonna play football.

640
00:35:49,519 --> 00:35:51,400
He knew that it was he was in the NFL

641
00:35:51,440 --> 00:35:55,679
because that's what got him from Sunday to Sunday. Yeah,

642
00:35:55,800 --> 00:35:58,760
that's what made it possible. Yeah, And so I like,

643
00:35:59,400 --> 00:36:01,880
do I think they're healthy for you to know shorten

644
00:36:01,960 --> 00:36:05,679
your life likely is it my decision to make to

645
00:36:06,559 --> 00:36:09,079
to I mean, this is the public health question. No,

646
00:36:10,000 --> 00:36:12,599
at one point, do you not send your kids to school?

647
00:36:13,440 --> 00:36:17,199
You know, And that's a very personal decision. And for

648
00:36:17,599 --> 00:36:20,400
families where an education didn't matter, what's it matter? If

649
00:36:20,440 --> 00:36:22,920
you kids weren't going to school anyways, maybe it didn't matter.

650
00:36:23,320 --> 00:36:25,280
But if school was the way for your kids to

651
00:36:25,320 --> 00:36:29,880
get out of their situation, then of course it mattered. No,

652
00:36:30,000 --> 00:36:32,639
I'm not I don't have that fatal conceit to be

653
00:36:32,639 --> 00:36:36,000
able to tell everyone what to do, but I certainly

654
00:36:36,039 --> 00:36:39,079
know what to take my hat off and drop to

655
00:36:39,119 --> 00:36:42,000
a knee when someone makes it sacrifice like that, like

656
00:36:42,079 --> 00:36:46,000
that Gal from Levi Strauss. You know, God bless her.

657
00:36:46,599 --> 00:36:49,440
Look what she did. Isn't it extraordinary? If I have

658
00:36:49,519 --> 00:36:52,400
that expectation of everyone, right, you know, there's got to

659
00:36:52,440 --> 00:36:54,760
be the one guy that will run into the building room,

660
00:36:55,199 --> 00:36:58,159
the building house to be the hero. It only have

661
00:36:58,840 --> 00:37:02,920
if they're not everyone and will right, And I don't

662
00:37:03,000 --> 00:37:03,880
fault those people.

663
00:37:04,159 --> 00:37:09,320
Speaker 1: Yeah, yeah, And what I've discovered for myself, and this

664
00:37:09,360 --> 00:37:11,599
is a faith thing as well, is you know I

665
00:37:11,599 --> 00:37:14,039
was told I've never work in radio. Game right, when

666
00:37:14,039 --> 00:37:16,239
I quit local radio said no to a five year contract.

667
00:37:16,559 --> 00:37:18,280
That's a setup over there for one hundred and eighty

668
00:37:18,360 --> 00:37:22,079
radio stations. Yeah, the weekend stuff is sixty radio stations.

669
00:37:22,800 --> 00:37:24,800
The audio version of our podcast is in the top

670
00:37:25,039 --> 00:37:27,840
one half of one percent globally. We're starting to make

671
00:37:27,840 --> 00:37:32,199
things happen on YouTube and video. People faith. The Christian

672
00:37:32,639 --> 00:37:34,679
scenario is, hey, what you give up for God, you'll

673
00:37:34,679 --> 00:37:37,320
get back seven times. And what I would say to

674
00:37:37,360 --> 00:37:39,960
people is, if you can't speak out at work, speak

675
00:37:40,000 --> 00:37:42,280
out to your kids. Let them know what you're seeing,

676
00:37:42,679 --> 00:37:44,960
show them how to validate, how to predict. We did

677
00:37:45,000 --> 00:37:48,199
this with our daughter growing up. What will happen if

678
00:37:48,280 --> 00:37:51,320
I take a boiled egg and spin it versus a

679
00:37:51,360 --> 00:37:53,360
non boiled egg, And we did a lot of that.

680
00:37:53,599 --> 00:37:55,239
Teach your kids so that they don't have to be

681
00:37:55,239 --> 00:37:57,800
in the same circumstance. They don't have to live under

682
00:37:57,840 --> 00:38:01,639
the fear of I said, the unpopular thing that makes sense. Right,

683
00:38:02,199 --> 00:38:04,760
He's sitting here chatting with Greg Glassman, and they know

684
00:38:04,840 --> 00:38:08,440
we're going to talk today about the corruption of science

685
00:38:08,639 --> 00:38:11,719
and how it's been corrupted for money. Money can corupt many,

686
00:38:11,760 --> 00:38:14,239
many things, as Greg Well knows, and that's a well

687
00:38:14,280 --> 00:38:16,880
known story about CrossFit. We would talk about sometime. My

688
00:38:16,960 --> 00:38:21,280
friend Zach Abraham fights this on behalf of his customers.

689
00:38:21,920 --> 00:38:24,519
Zach is a fiduciary. He has to put our financial

690
00:38:24,519 --> 00:38:27,800
interest above his own. That is so so vital. And

691
00:38:27,920 --> 00:38:31,840
Zach does this at Bulwarck Capital Management by actively managing

692
00:38:31,920 --> 00:38:35,880
every portfolio, which can reduce risk and volatility. He's coming

693
00:38:35,960 --> 00:38:38,039
up to a free live webinar. This is three thirty

694
00:38:38,119 --> 00:38:42,039
Pacific time coming up. This is the twenty sixth of September,

695
00:38:42,079 --> 00:38:44,480
so just around the corner. Zach's going to look at

696
00:38:44,519 --> 00:38:48,320
how current events are affecting people's retirement portfolios and understand this.

697
00:38:48,880 --> 00:38:53,760
Your retirement portfolios were created for a prehistoric time, back

698
00:38:53,760 --> 00:38:57,159
when there were rules about finances, Back when a company

699
00:38:57,199 --> 00:39:00,320
that had eight percent growth per quarter in revenue pretty good,

700
00:39:00,880 --> 00:39:04,440
wasn't going to see an eighty thousand percent increase in

701
00:39:04,519 --> 00:39:08,280
its stock value, which is happening. In other words, your

702
00:39:08,320 --> 00:39:10,440
retirement portfolio was set up for a time when things

703
00:39:10,480 --> 00:39:13,880
weren't insane. Join the Zach in this free live webinar

704
00:39:13,920 --> 00:39:17,480
and learn how you can mitigate risk, how actively managing

705
00:39:17,519 --> 00:39:20,159
your portfolio can actually reduce risk in voltility and how

706
00:39:20,159 --> 00:39:22,719
bolwork does all of that. This is free to attend,

707
00:39:22,760 --> 00:39:24,920
but you have to register. Go to Know Your Risk

708
00:39:25,039 --> 00:39:29,719
radio dot com. That's know Know your Risk Radio dot com.

709
00:39:29,800 --> 00:39:32,760
Speaker 5: Investment advisory services offered through Track Financial loc and SEC

710
00:39:32,840 --> 00:39:35,400
registered investment advisor. The opinions expressed in this programmer for

711
00:39:35,440 --> 00:39:37,679
general informational purposes only and are not intended to provide

712
00:39:37,679 --> 00:39:40,960
specific advice or recommendations for any individual around any specific security.

713
00:39:40,960 --> 00:39:42,960
Any references to performance of security so it thought to

714
00:39:43,000 --> 00:39:45,920
be materially accurate, and actual performance may differ investments involved

715
00:39:45,960 --> 00:39:48,639
risk and or not guaranteed. Past performance doesn't guarantee future results.

716
00:39:48,639 --> 00:39:49,639
Track twenty four three zero.

717
00:39:49,800 --> 00:39:54,639
Speaker 3: I've got a just last week eleven year old and

718
00:39:54,760 --> 00:39:57,679
her nine and a half year old brother. But we

719
00:39:57,800 --> 00:39:59,840
can be listening to some kind of news story. A

720
00:40:00,039 --> 00:40:03,400
turn it on. What's going on here? No such thing

721
00:40:03,440 --> 00:40:08,239
as free? Thank you? Turn it back up. I We'll

722
00:40:08,320 --> 00:40:11,920
just start with some basics. Right, somebody paid for it, right? Right?

723
00:40:12,039 --> 00:40:12,840
Somebody right?

724
00:40:12,880 --> 00:40:13,920
Speaker 1: It's not free health care.

725
00:40:14,079 --> 00:40:16,639
Speaker 3: That's the thing to ask. He's paying for it? Right?

726
00:40:16,800 --> 00:40:19,440
Speaker 1: That is a perfect, perfect question, and it brings us

727
00:40:19,519 --> 00:40:23,239
back to broken Science, Broken Science Institute, who's paying for it?

728
00:40:23,320 --> 00:40:24,920
I think we have a decent idea.

729
00:40:25,119 --> 00:40:28,119
Speaker 3: My dad would turn down the TV anytime. Nine out

730
00:40:28,119 --> 00:40:30,800
of ten Dennis, and I'm telling you this one on

731
00:40:30,880 --> 00:40:34,280
for fifteen years, and he'd turned down the TV and

732
00:40:34,400 --> 00:40:37,679
explained whoever was sitting there that there's no voting in

733
00:40:37,719 --> 00:40:40,199
science and that innovation is going to come from the

734
00:40:40,239 --> 00:40:43,320
one scientist and the one dentist. In ten you want

735
00:40:43,320 --> 00:40:45,360
to know what's he using to brush his teeth? Right,

736
00:40:45,519 --> 00:40:48,280
Not that he won't use pepsident or whatever the hell

737
00:40:48,360 --> 00:40:48,719
it was.

738
00:40:49,000 --> 00:40:51,760
Speaker 1: But I had my company, spin Spot. I was at

739
00:40:52,039 --> 00:40:55,400
We Want a Demo God Award. We were great idea,

740
00:40:55,559 --> 00:40:58,039
just really too early. Social media wasn't there yet. And

741
00:40:58,079 --> 00:41:00,559
I was talking to Walt mall's Burg. You know what

742
00:41:00,880 --> 00:41:03,480
I know? Okay, so he's a tech writer. Ye, yeah,

743
00:41:03,480 --> 00:41:05,639
I do know who that is, big, big wigger. He

744
00:41:05,719 --> 00:41:08,920
came up to me and my column yeah forever. Yeah,

745
00:41:09,239 --> 00:41:11,639
my and my PR agent who hates me now because

746
00:41:11,840 --> 00:41:15,599
she's gone off the off the cliff, leftist, and the

747
00:41:15,639 --> 00:41:18,599
guy I hired to run the company's going to Walt. Okay,

748
00:41:18,639 --> 00:41:21,000
Waltz coming. I've met him at Microsoft he's a decent guy.

749
00:41:21,320 --> 00:41:24,039
What walks up and he says, spin spotter, show me

750
00:41:24,199 --> 00:41:28,159
one instance of spin in the Wall Street Journal. Go so,

751
00:41:28,199 --> 00:41:31,199
go to Wall Street Journal, pull up an article and

752
00:41:31,360 --> 00:41:33,440
turn on our device was a toolbar back in the

753
00:41:33,519 --> 00:41:36,079
day when those are their thing. It keys in this

754
00:41:36,239 --> 00:41:40,559
article and it hid hits the phrase experts say, and

755
00:41:40,639 --> 00:41:42,599
Walt says, what's wrong with that? I go, well, let's

756
00:41:42,679 --> 00:41:47,159
hit click. It said which experts? The article quotes one

757
00:41:47,199 --> 00:41:52,119
person and and you're saying experts plural. And he sat

758
00:41:52,159 --> 00:41:54,719
there and it's like this uncomfortable silence and my pr

759
00:41:54,760 --> 00:41:59,559
agent is shaky, and what goes, Yeah, you're right, it shouldn't.

760
00:41:59,519 --> 00:42:01,960
Speaker 3: We had someone needs to set up a reddit or

761
00:42:02,039 --> 00:42:05,079
a page, and it's would be I stop reading when

762
00:42:05,800 --> 00:42:10,000
and yes, And for me it's experts say yep. But

763
00:42:10,119 --> 00:42:13,920
my favorite all time was parenting experts at Harvard, and

764
00:42:13,960 --> 00:42:18,119
I'm like done, I'm done. There are no parenting experts

765
00:42:18,159 --> 00:42:20,280
and if they were, they're not at Horror that we

766
00:42:20,400 --> 00:42:24,760
know for a frat. Yeah, isn't that great parenting experts

767
00:42:24,800 --> 00:42:25,320
at Harvard?

768
00:42:25,519 --> 00:42:26,239
Speaker 2: Yeah? Yeah.

769
00:42:26,480 --> 00:42:32,440
Speaker 1: The simplest questions can befuddle the most nefarious schemers. You

770
00:42:32,559 --> 00:42:34,679
know I've told you before with the injection that doctor.

771
00:42:34,719 --> 00:42:35,639
I said, how's it work?

772
00:42:37,000 --> 00:42:37,079
Speaker 2: What?

773
00:42:38,159 --> 00:42:39,719
Speaker 1: No, how does it work? And then he goes, well,

774
00:42:39,719 --> 00:42:41,840
it's in a nerd. By that, I mean an Activisty.

775
00:42:41,920 --> 00:42:43,480
I got that when you said a nerd you know,

776
00:42:43,639 --> 00:42:46,119
portion of the virus that builds anybody to your body.

777
00:42:46,119 --> 00:42:48,079
And I go, oh, so it's not a gene sequencing

778
00:42:48,079 --> 00:42:50,320
device that produces a fact simile of the spike protein

779
00:42:50,400 --> 00:42:52,320
forty six million at a time in my body. And

780
00:42:52,360 --> 00:42:55,079
he says this to mcgregus, if you knew that, why'd

781
00:42:55,119 --> 00:42:57,360
you ask? I go, well, better question, Since you knew it,

782
00:42:57,360 --> 00:42:58,000
why did you lie?

783
00:42:58,079 --> 00:43:01,760
Speaker 3: You know the the uh Emperor's Naked story? Oh yeah,

784
00:43:01,800 --> 00:43:03,519
there needs to be a redo on that where the

785
00:43:03,599 --> 00:43:06,440
kid's parents get audited and the mom loses your job

786
00:43:06,519 --> 00:43:09,800
and he gets thrown out of the private school, and yeah,

787
00:43:09,880 --> 00:43:13,400
you know what the costs were the security that rubs

788
00:43:13,440 --> 00:43:15,000
them up on their way to the card right right?

789
00:43:15,239 --> 00:43:15,440
Speaker 2: You know?

790
00:43:15,599 --> 00:43:17,360
Speaker 3: I mean that was just just the start of it.

791
00:43:17,400 --> 00:43:20,880
But it was as simple as that is. The Emperor's Naked.

792
00:43:21,360 --> 00:43:24,800
I have a quick Microsoft story for you. There was

793
00:43:24,840 --> 00:43:32,039
a Xbox Device's division of longtime early employees filthy, rich,

794
00:43:32,079 --> 00:43:37,000
wonderful men. They were all friends each and all crossfitting together.

795
00:43:37,119 --> 00:43:40,079
Led by a fifty five year old gentleman. They could

796
00:43:40,119 --> 00:43:43,639
probably do seventy five pull ups neat neat crew, but

797
00:43:43,719 --> 00:43:47,960
they had a wearable that crazy enough knew the difference

798
00:43:48,000 --> 00:43:50,599
between lat pulled down and pull ups riding a stationary

799
00:43:50,599 --> 00:43:52,800
bike and a real bike could tell you you're doing Fran,

800
00:43:52,960 --> 00:43:56,480
Diane or Helen. You put in simple inputs and that

801
00:43:56,639 --> 00:43:59,599
was me, Wow, wow, So we're doing all this stuff.

802
00:43:59,639 --> 00:44:02,159
And the first thing it was funny to me was

803
00:44:02,199 --> 00:44:04,559
it I said, it's really good because I did Fran

804
00:44:04,679 --> 00:44:07,079
and I timed it and I counted the reps and

805
00:44:07,159 --> 00:44:10,679
it agreed with me. So that's really cool. The technology

806
00:44:10,719 --> 00:44:13,639
is amazing. And then over time it's like, but I

807
00:44:13,639 --> 00:44:15,800
think I also know the difference between real pull ups

808
00:44:15,880 --> 00:44:19,239
and that pulldown, and I also pretty much aware of

809
00:44:19,280 --> 00:44:22,880
when I'm riding the stationary bike versus around Yeah, and

810
00:44:22,960 --> 00:44:27,199
I and it's like, it's it's amazing and it's wow,

811
00:44:27,360 --> 00:44:31,199
but it's gonna end up in the drunk drawer. And

812
00:44:31,239 --> 00:44:33,920
I had to walk away from the project and they

813
00:44:33,960 --> 00:44:34,800
were heartbroken.

814
00:44:35,440 --> 00:44:38,400
Speaker 1: I conceived of a device like that when I was

815
00:44:38,440 --> 00:44:40,239
leaving Washington, d C. Trying to figure out what to

816
00:44:40,280 --> 00:44:42,239
do next, and we started to look at that. We

817
00:44:42,320 --> 00:44:44,440
just came up that we could probably figure out bench press.

818
00:44:44,440 --> 00:44:48,480
But then wait, push ups right, and I see you're

819
00:44:48,519 --> 00:44:50,199
not making fun of my garment Phoenix seven.

820
00:44:50,199 --> 00:44:54,599
Speaker 3: No, but their thing worked. It was ingenious. Collected signatures

821
00:44:54,599 --> 00:44:56,679
from all these activities for like they were just doing

822
00:44:56,719 --> 00:45:02,519
their own workouts. Yeah, collecting the signatures, docking, loading up

823
00:45:02,559 --> 00:45:06,039
to the cloud, and doing crazy computing all those signatures

824
00:45:06,039 --> 00:45:09,559
and actually found the distinctive feature that made that a

825
00:45:09,599 --> 00:45:10,320
real pull up.

826
00:45:10,519 --> 00:45:12,599
Speaker 1: That's that's the thing that we're trying to get to

827
00:45:12,599 --> 00:45:14,239
to crowdsource that we can't have the money to do that.

828
00:45:14,519 --> 00:45:17,920
My friend the Broken Science Institute linked in the show notes,

829
00:45:18,880 --> 00:45:21,760
it's been so kind with your time, and I don't

830
00:45:21,920 --> 00:45:24,559
mean to embarrass you. I really that's not my intent.

831
00:45:25,079 --> 00:45:27,079
I just wanted to thank you for welcoming into.

832
00:45:26,920 --> 00:45:29,199
Speaker 3: Your life and you like family.

833
00:45:29,360 --> 00:45:33,800
Speaker 1: Thank you and for your kindness. And I'm I'm we're

834
00:45:33,800 --> 00:45:35,280
gonna be blessed by what you do. I'mna shake your

835
00:45:35,280 --> 00:45:36,760
hand again, have me back.

836
00:45:36,800 --> 00:45:37,960
Speaker 3: I don't quit have any idea.

837
00:45:38,159 --> 00:45:40,159
Speaker 1: You drive here, walk in and you've come on.

838
00:45:40,679 --> 00:45:44,199
Speaker 3: My NAV got me here without the interstator or any highway.

839
00:45:44,400 --> 00:45:47,840
Nice celtis and back rows the whole way security concern.

840
00:45:48,000 --> 00:45:54,039
Speaker 1: Yeah, all right, Greg Glassman, broken science institutes, and Lord,

841
00:45:54,079 --> 00:45:56,239
thank you for wise counsel friends like this. One day

842
00:45:56,239 --> 00:45:57,639
I'm going to get Greg to read a book I

843
00:45:57,639 --> 00:45:59,320
gave them, and we're going to talk faith. One day

844
00:45:59,320 --> 00:46:02,199
we're gonna come. This is a Tod Hermer show. Please go,

845
00:46:02,280 --> 00:46:04,480
be well, be strong, be kind, to make every effort

846
00:46:04,519 --> 00:46:07,599
to walk in the light of christm