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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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Speaker 2: And it did.

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Speaker 1: He has the mind of a scientist, and you know

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what he says doesn't work in science anymore peer reviewed papers.

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He has one thing in mind in terms of fixing science,

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which is to show people something called a pee value,

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to teach it, to feature it, and to honor it.

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This is the second half of my interview with my

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friend Greg Glassman, brought to courtesy of our YouTube channel

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YouTube dot com slash at the Todd Herman Show and

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to the good graces of God Almighty.

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Speaker 3: 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.

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Speaker 2: With your predictions about what you were going to do

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with athletes.

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Speaker 1: Okay, you made predictions. Those predictions have come true. You

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have a personally high p value, and your coaches and

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your affiliates. Okay, you made predictions, they came true. Your

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thesis has proven right. I want to just simplify this

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for people like me, just simpletons. I've lived in Idaho

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for four years. I know when I'm driving to the studio,

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I have learned that the trains cross between ten minutes

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before and ten minutes after the hour. I therefore know

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I'm going to avoid train crossings at that point. If

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I'm on AID and I'm headed east and I to

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a given exit prairie and I go, this is slow,

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I'm gonna jettison. These are me making predictive models over time.

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So you go back to the IHM E. They made

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some predictive models. None of them were right, all of

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them catastrophized. I believe on purpose, and we were told

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one hundred percent safe and effective, et cetera. Back to

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the band topic. That to me is not just junk science,

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it's purposely bad. But you're saying science can be measured

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by if you are going to discover some patterns and

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some truths, and you're going to come to us with

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solutions and ideas and theses. Here's the simple way to

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figure out if your science is solid. Make a prediction

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and have it come true.

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Speaker 4: 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 3: You know.

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Speaker 4: 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 respond instantly

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to that. Matt briggs response was you think I got

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a phone number right, And so it was an easy

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thing to put out to But that is indeed, what's

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happened is that the predictive strength of models as the

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determinant of validity. And again I said that it not

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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 2: Exactly.

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

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hanging participle of peer reviewed papers. I want to talk

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about that because that's been the gold standard. In the

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closing days before we celebrate the birth of the Messiah,

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a guy who is in favor of actual election integrity, and.

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Speaker 2: To get a great gift for you yourself.

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Speaker 1: Mike had a massive retailer just all of a sudden

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canceled just before Christmas, which set him up with way

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too much inventory. Was the retailer doing that as a

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political thing.

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Speaker 2: We don't know.

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Speaker 1: I don't think Mike knows, but he reached out to us.

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he's never published before.

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slash Todd. But let's let me go back a little

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

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

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people on top.

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Speaker 2: In the middle, there's folks like me that we do our.

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Speaker 1: Thing, We raise our families, we make a little money,

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we retire, we do things, we go to church, we

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do that. On the bottom, there's stupid supplicants who will

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do whatever they're told because they know they can't cut

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it in the commercial world.

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Speaker 2: So on the top you have someone who might.

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Speaker 1: 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. Then on the bottom of that,

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you've got people who wear, you know, really bright scarves

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and say things like, well, but it was Thanksgiving and

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it was my family, so I mean we took that risk, right,

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You know, people like that.

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Speaker 2: In the middle, there's you and I, Well not.

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Speaker 1: You, because you're on the you happen to be a

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good man on top of the intellectual heat. But I'm

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in this middle area. Then this other aspect of 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 this particular dress

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because all the girls are wearing it? Why are the

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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.

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Speaker 2: I'll take the meeting. Let's have the meeting.

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Speaker 1: And management was there, and in this discussion, I just said, look,

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maybe I'm wrong. If I'm wrong that this is a

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bad thing to chemically and surgically alter these kids at

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the age of eleven and twelve against parental wishes, maybe

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I'm wrong. Here's how you can prove it. What's the

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organic marker. Show me the organic marker, the so called

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transgender cell, and then answer this question for me. Why

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do I have instance after instance after instance where suicidal

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intent wasn't modeled to increase it did.

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Speaker 2: Why is that?

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Speaker 1: And their response was this discussion is over. You're a bigot,

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and that was their predictive model was utopia. They were

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doing popular girl stuff. They accept saying peer review. So

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you're here to tell me that peer review is not

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the gold standard.

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Speaker 4: 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 a look, science is really easy. Dave Stove 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 3: Yep.

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Speaker 4: 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 project that onto

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a future unrealized measurement as a forecaster for measurement or

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an event and that's a model, and it's predictive strength

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determines whether it's a conjecture, hypothesis, a theory, or a law,

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and you test it. And it's something that Benedictine Monk

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could do and change genetics forever without permission from anyone

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with beans yes, right, And it's someone that can turn

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their their glass to the heavens and makes careful recordings

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and play with them can also make immense discoveries. But

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think on the predictive strength. Think of the power of

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the individual that told the Emperor King or whomever person

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Caesar that there was going to be a many clipse

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of the sun in two hundred fifteen days, seven hours

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and twelve minutes. And you do nothing with that. You

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don't believe it, you don't accept it. The guy doesn't

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get awards for the prediction.

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Speaker 3: We don't.

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Speaker 4: You know, it becomes science at the moment that it happens.

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And of course then you're interested in another one. Can

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you do it again?

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Speaker 3: Right? Right?

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Speaker 4: And I'm also interested in what the methodology was that

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it enabled you to do that. But the validation came

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through the predictive strength and the reason that astronomy is

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a science and astrology is not. Is that you're going

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to have trouble showing me that aris make better lovers.

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And I'm going to easily tell you when the next

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solo eclipse is going to be here in Idaho. And

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that distinction is one that Carl Popper missed. And it

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was funny because Thomas Cohon pointed out, almost in real time,

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this doesn't even serve your original purpose, which was the

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demarcation of astrology from astronomy as an example, and that

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is his aimed falsification, which got baked into a Supreme

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Court decision sadly enough, which gets us in another kind

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of area. But what I'm also playing with in looking

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at funding and talking, and that is a Supreme Court's

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Dowbert decision that fundamentally enshrine peer review and consensus and

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falsification and all of that nonsense to give standing legal

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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.

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Speaker 2: So we had all.

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Speaker 1: These scientists who came along and said, hey, you know what,

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this wuhan. This virus looks like it came out of

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a lab. It looks human human modified and they said this,

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and then there was this phone call and this guy

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gets on, well, really we need to and all of

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a sudden, the next day the predictions change or their

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

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

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

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

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referring 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 like d 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 school,

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

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

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Speaker 2: Me, people who are teachers.

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Speaker 1: Academics and others to actually be scientific, to actually act

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with rigor. And that's what I wanted to get into

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and talk a little bit about.

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Speaker 2: Emily.

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Speaker 1: You should give your partner a little.

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Speaker 2: Relent to it.

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Speaker 4: And let me come back to Emily, and by way

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

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thank Roger Kimball for recently turning me onto this little

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blip that came from a John Alexander Smith at Oxford,

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a dean there and professor of moral philosophy. This is

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lecturing a junior class coming back in nineteen fourteen, and

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he tells them, gentlemen, you're not about to bark on

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a course of studies that will occupy you for two years.

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Together they form a noble endeavor adventure. But I would

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like to remind you of an important point. Some of you,

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when you go down from the university, will go into

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the church, or to the bar, or to the House

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of Commons, or to the Home Civil Service, or the

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

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go into the army, some in the industry and commerce.

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Some may become country gentlemen. A few, I hope a

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very few, will become teachers or dons. Let me make

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this clear to you, except for those in the last category,

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nothing that you will learn in the course of your

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studies will be of the slightest possible use to you

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in afterlife, save only this that if you work hard

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and intelligently, you should be able to detect when a

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man is talking rot. And that is, in my view,

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is the main, if not the sole, purpose of an education.

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And what I'm to do is we're building material. I

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want to give people protection from the rot. And I

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think that you can do that. And and the COVID

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thing gives us a lot of a lot of fertile

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ground here. Somebody asked me what's the market for a

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seminar on epistemology? And I said, well, were you vaccinated?

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I said yeah, and I go. Be fun to talk

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about why if you said no, I go, It'd be

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fun to talk about why these are discussions that need

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to need to be had. And if it was the

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science that compelled you to it, I'd like to know

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what you mean by science and what you think it

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is that science does that earns your trust. I want

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to give you this. And Emily, Emily was Emily Kaplan

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was employed by CrossFit Inc. In public relations and worked

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miraculously and effectively with our friends at the Podesta organization.

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Between between David Marin and Podesta and Emily Kaplan, we

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just we just got fantastic results. But she was a

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very capable and able defender of of my efforts in work,

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and stopped big media from publishing some some blatant lies

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about me. And after the sale of the company, the

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interest we had in broken science and insistant on the

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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 its 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: Think, so broken science came at you. This is what's

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

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it came at society, and I think it's come at

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

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tranding of kids is predicated upon truly nefarious broken science

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created from the human rights campaign out of San Francisco

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

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to non governmental organizations, to to bureaucrats in front of parents.

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Speaker 2: That was an attack on this.

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Speaker 1: And then Harvard's I don't remember how much money they took,

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but I think it was like forty five million bucks,

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which is nothing to them to do a psychographic annoulysis

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in psychological analysis on how to pressure PIP. You were

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talking about the injections, So they had the fear of loss,

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opportunity of gain. You know what was one of the

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big ones was being ostracized, being removed from your your

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friendship group, your family group. That was one of the

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pressures they wanted to use. They did it with minorities,

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and at that point it was it was golong get along.

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They had all these psychographic analyzes. One of my proudest

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moments in media was when I was on Russia's program

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and I started to mock their outreach to rednecks like

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me living in Idaho, and they did this, this is

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this guy, you know, I gotten mowed the back forty

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on my tractor. I would make sure I'm doing the

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right thing for my neighborhood. That's why I got vaccinated.

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And I did this thing about knowing I'm on my

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f one twenty five and just mimicking this. That ad

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greg was gone the next day, and I still wanted

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floyer that and find that out. So broken science came

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for you.

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Speaker 2: You defeated it.

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Speaker 1: It has come also though to our kids. It is

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broken science to say a girl is a boy because

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the girl says so, or a boy says so. Corruption

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follows money. The love of money is the root of

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all evil. The love of money. Now, my friend Zach Abraham,

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the chief investments are capital management. He doesn't love money,

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he stewards it. What he loves is managing risk for people.

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What he loves is seeing people enter into retirement with

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a successful plan. And Zach has a unique way of

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describing what a successful retirement means. It's not what some

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other people would do. Other people will show you pictures

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of beach vacations and two million dollar RVs and multiple homes,

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and maybe that's what you want. What is it what

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you could afford? Zach engages in risk management by actively

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00:20:55,240 --> 00:20:59,160
managing every single portfolio, which can reduce risk and volatility.

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And he will look at your accounts. They'll look at

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your equity and your home, your investment accounts, any sort

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00:21:04,839 --> 00:21:07,599
of outstanding debts you have, and he will tell you

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how exposed you are to risk and how near you

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are to successful retirement. And here's how Zach defines success

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in retirement. Knowing exactly how much money you will have

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00:21:19,279 --> 00:21:23,079
every month for the rest of your life and he'll

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look at these portfolios for free, no obligation. Just call

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him at eight sixty six seven seven nine Risk. That's

389
00:21:29,359 --> 00:21:31,960
eight sixty six seven seven nine Risk, or go to

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00:21:32,119 --> 00:21:35,119
Know your Risk radio dot com and he'll make that

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00:21:35,160 --> 00:21:38,359
happen for you. What we're Capital Managements and Investment Advisor

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00:21:38,400 --> 00:21:41,720
representative of Truck Financial LLC and SEC registered Investment advisor.

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Investments involve risk and are not guaranteed past performance, isn't

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cantery future results Truck twenty four Dash three seven eight.

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So talk about how the Brookensien's initiative arms people.

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Speaker 4: Were. I think we've been right there. I think that

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we need to know what science is and what it

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isn't and there are things that it wouldn't and couldn't

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

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we were when we were working with the Infant Swim Resource,

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

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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

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

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those that are willing to take ten minutes a day,

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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

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

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It's like watching your kid getting waterboarded.

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Speaker 3: Right.

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Speaker 4: And at the end, my dad says, you want me

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to teach that floating to show you mathematical evidence for

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

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

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

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

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that doesn't do. And you it's like, it's like this,

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it's like what you know. I'll go to your I'll

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go to the town hall meeting on free speech, but

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I'm bringing a gun in case they lose the debate

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over right, there are things, there are things that are

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outside of the space of logic and or or discourse maybe,

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and I'll take one of them is men and women's sports.

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The problem with with someone knocking my little girl out

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of her socks just got a penis hiding amongst a

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bunch of girls playing lacrosse. I'm not I'm just I

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don't I don't have any interest in a discussion of that.

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Speaker 1: Because.

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Speaker 4: Why it shouldn't you want me to talk about it

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so you can do something horrible to me. That's not

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the Those aren't the kind of things I'm not going

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to have a discussion with home invasion robbers either. It's

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not a difference of understanding. It's not a resolve itself

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in a talk.

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Speaker 1: Yes, so you have built this, You've made friends of

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your mentors, you put together an organization, people who've helped

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you define science. You've also talked with me about the

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creation of materials for schools, for video repositories, so that

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actually teachers can get back to teaching based upon what

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a scientific model would look like.

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Speaker 2: In a healthy way.

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Speaker 1: I could see that just delivering change beyond greg not

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just science, not just people avoiding junk science, not just

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people like getting victimized by a bad meeting.

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Speaker 2: Doctor.

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Speaker 1: Hey you should take a stat and why well everyone

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else has taken the stat and status are tasty, but

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also reintroducing skeptical thinking.

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Speaker 4: Yes, at the almost fundamental level, the trivium and quadrivium

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need a bit of a mending to some modern understanding.

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And simple things like like you know, at the point

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that a kid can do long division and understands fractions,

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

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at that point it's time to start talking things like

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conditional probabilities and show give like a Kolmagarov drawing a

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geometric interpretation of a given B and show what be

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given A would look like. And even little kids ten

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year olds, my kids can see that they're not the same.

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And we're starting there. We have a useful bit of

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something in your education that I can turn into a

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roadblock to some of the over the cliff mistakes that

463
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are made routinely in medicine, especially in the field of diagnostics.

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Just talking about the prosecutor's fallacy. It's a problem in

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legal circles, but you can see the deficiency in our

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scientific literacy. And I think what's wonderful is that the

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opportunity for correction begins at eight, nine, ten years old.

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I think that kids need to be taught what science

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is ahead of any particular of science. Yes, it is

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source and repository of man's subjective knowledge. Of validation comes

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from predictive strength. That is the source of the objectivity,

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the sole rational basis for trust, you know what, on

473
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a replication crisis or something.

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Speaker 1: We directly we're going to talk about this replication. So

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explain that for everybody.

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Speaker 4: Yeah, John, I and O. He's published a seminal piece

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that started a wave of wonderful discussion. But what he

478
00:26:27,400 --> 00:26:30,720
said is most research findings are false. And he's saying

479
00:26:30,839 --> 00:26:34,160
is in the space of biomedical research that over half

480
00:26:34,240 --> 00:26:38,160
of the research findings won't wouldn't pan out, won't replicate.

481
00:26:38,720 --> 00:26:43,000
We know by direct clinical evidence, by attempting to replicate

482
00:26:43,640 --> 00:26:48,759
what is it, fifty three preclinical studies in on collagen

483
00:26:48,839 --> 00:26:52,640
hematology that what was it? Eleven percent of them would replicate.

484
00:26:53,119 --> 00:26:56,400
And these are foundational works on which the whole of

485
00:26:56,559 --> 00:27:03,440
cancer research, chemopharmacy, pharmaceutical intervention is based on this work.

486
00:27:04,039 --> 00:27:07,240
And none of these studies have been retracted. We found

487
00:27:07,240 --> 00:27:10,720
out that that paltry eleven percent. I think six to

488
00:27:10,799 --> 00:27:16,720
fifty three that might be the number. But the replica

489
00:27:16,920 --> 00:27:20,720
what's fascinating, I think, and the replication crisis, there's a

490
00:27:20,799 --> 00:27:24,119
lot of people talking about it. I didn't pick the

491
00:27:24,200 --> 00:27:27,119
name broken science when I throw it into Google. There's

492
00:27:27,119 --> 00:27:29,119
a lot of people that have used that terminology in

493
00:27:29,160 --> 00:27:32,039
reference to science that won't replicate and the failures of

494
00:27:32,599 --> 00:27:35,160
entire fields like Alzheimer's research and that kind of stuff.

495
00:27:35,759 --> 00:27:39,480
But I don't think answer. I don't think we're in

496
00:27:39,519 --> 00:27:43,200
a fruitful line of discussion until we have the discussion

497
00:27:43,319 --> 00:27:48,839
is what was the rational expectation of replication? Because there

498
00:27:48,880 --> 00:27:51,599
is none. When I look at the science that will replicate,

499
00:27:51,920 --> 00:27:53,799
it's like, of course it didn't.

500
00:27:54,240 --> 00:27:57,799
Speaker 1: So this is me going bowling. I very rarely have

501
00:27:57,880 --> 00:28:01,440
ever bowled. I bowled the two hundred one once. Yeah,

502
00:28:01,519 --> 00:28:03,759
and you know what, Greg, in the next round of bowling,

503
00:28:03,920 --> 00:28:07,799
I got her bald almost everything right, and that obviously luck.

504
00:28:08,240 --> 00:28:10,720
Now we're not talking about luck here. I don't think.

505
00:28:10,799 --> 00:28:13,400
I mean, it could be bad. It could be the nefarious,

506
00:28:13,480 --> 00:28:18,119
you know, evil sandwich thing. We've talked about, the evil people,

507
00:28:18,160 --> 00:28:22,960
the dumb people. But that replication crisis goes back to then,

508
00:28:23,039 --> 00:28:25,680
to me, this definitional crisis. And this is where I

509
00:28:25,720 --> 00:28:29,440
think it's really important to go from the kids, arming them,

510
00:28:29,640 --> 00:28:33,200
critical thinking, teachers, critical thinking, what about people who work

511
00:28:33,200 --> 00:28:35,799
in the field, Greg, And they know they're working in

512
00:28:35,880 --> 00:28:39,279
corrupt fields, they know the sciences around them as corrupt.

513
00:28:39,319 --> 00:28:42,079
What can we do to help scientists like that who

514
00:28:42,160 --> 00:28:45,559
actually want to deliver quality work and actually don't want

515
00:28:45,599 --> 00:28:47,519
to be trapped in I'm thinking about a family member

516
00:28:47,559 --> 00:28:52,079
who her company got bought by Pfizer, and she's very concerned.

517
00:28:52,440 --> 00:28:55,400
She doesn't want anything like I just gonna be careful.

518
00:28:55,440 --> 00:28:57,440
She's a family member, but she's concerned, and I would

519
00:28:57,480 --> 00:29:00,480
be too, because Pfizer, in my judgment, is a criminal cartel.

520
00:29:01,440 --> 00:29:03,200
Speaker 2: But she's a great scientist.

521
00:29:03,720 --> 00:29:05,799
Speaker 1: So if you've given any thought to how we can

522
00:29:06,039 --> 00:29:08,640
help scientists like that have a home where they can

523
00:29:08,680 --> 00:29:14,000
actually practice real scientific rigor with good p values replicable results.

524
00:29:13,759 --> 00:29:17,000
Speaker 4: Yeah, you know. My solution to anything like this is

525
00:29:17,480 --> 00:29:21,599
network and hub form a network of people. It's interesting

526
00:29:21,599 --> 00:29:24,400
on a topic, how many individuals you could, you know,

527
00:29:24,599 --> 00:29:26,599
pick your topic and find the people that are weighing

528
00:29:26,599 --> 00:29:29,839
in and then get to them and ask if they

529
00:29:29,880 --> 00:29:32,279
know of each other and they will by work only

530
00:29:33,160 --> 00:29:35,319
and so if you can get them together, yep, and

531
00:29:35,359 --> 00:29:37,079
you're the one that does that, now you're part of

532
00:29:37,079 --> 00:29:39,359
the conversation. That's kind of been my dirty little trick

533
00:29:40,079 --> 00:29:44,960
is networking, hub, network and hub and crazy things happen

534
00:29:45,000 --> 00:29:48,599
when you get these people together like that. When we

535
00:29:48,680 --> 00:29:51,759
got the crossfitting physicians together, I said, the interesting thing

536
00:29:51,799 --> 00:29:56,000
about this assembly of physicians is they all know something

537
00:29:56,119 --> 00:30:02,039
firsthand clinically in the gym that is orthogonal, if not

538
00:30:02,240 --> 00:30:07,079
antithetical to the party line in medicine. They know truths

539
00:30:07,079 --> 00:30:11,680
about exercise, about squatting, about yes, carbohydrate that other doctors

540
00:30:11,680 --> 00:30:12,039
don't know.

541
00:30:12,559 --> 00:30:12,720
Speaker 3: Well.

542
00:30:12,720 --> 00:30:14,519
Speaker 4: One of the doctors had said we need to have

543
00:30:14,680 --> 00:30:17,119
pins for the doctors, and I said, what do you

544
00:30:17,200 --> 00:30:19,319
mean pins. She goes, little enamel pins. It'd be so

545
00:30:19,440 --> 00:30:23,440
cute and it'd see CrossFit health and I'm not now,

546
00:30:23,480 --> 00:30:25,279
we don't do this. So she had the pins made

547
00:30:25,359 --> 00:30:27,039
anyways and didn't tell me that it had them Mountain.

548
00:30:27,039 --> 00:30:30,319
I was furious. But then on social media there'd be,

549
00:30:30,519 --> 00:30:32,240
you know, the middle of a heart transplant, there's a

550
00:30:32,279 --> 00:30:34,559
picture of a guy that's got the CrossFit health thing,

551
00:30:34,640 --> 00:30:37,480
and all these people in a cute scenarios wanted a

552
00:30:37,480 --> 00:30:40,079
picture taken with their crossit health. They were sending a

553
00:30:40,119 --> 00:30:43,920
message through their own community that they knew something that

554
00:30:44,119 --> 00:30:49,480
was important, vital in the essential, in the sense of

555
00:30:49,480 --> 00:30:52,759
an essential amino acid optimal to the organisms functioning that

556
00:30:52,960 --> 00:30:57,359
was counter to the party line, and so I think

557
00:30:57,400 --> 00:31:00,000
that lies the answer, because I tell you, the people

558
00:31:00,079 --> 00:31:02,039
have come forward for me. I'm on a soda tour

559
00:31:02,519 --> 00:31:03,880
and I got two guys in the back of the

560
00:31:03,960 --> 00:31:06,200
room that look like they could be a security concern,

561
00:31:06,319 --> 00:31:09,000
Two big, thick guys, and it's kind of an egghead crowd.

562
00:31:09,400 --> 00:31:13,039
This is in DC. And they come forward and introduce

563
00:31:13,079 --> 00:31:17,079
themselves as being from CrossFit NIH and I go, where's that?

564
00:31:17,200 --> 00:31:19,680
They go in the NIH wow and I didn't even

565
00:31:19,680 --> 00:31:21,799
know there was one. Yeah, there is one, and they go,

566
00:31:21,880 --> 00:31:24,200
you need to keep doing what you're doing. That there's

567
00:31:24,240 --> 00:31:27,680
a lot that no. When I'm while I'm suing the NSCA,

568
00:31:27,839 --> 00:31:32,599
I find out that they're having open workout competitions in

569
00:31:32,640 --> 00:31:35,920
their gym in Colorado Springs, and I'm introduced people that

570
00:31:36,000 --> 00:31:38,160
work there that are good people. I show up at

571
00:31:38,160 --> 00:31:41,559
the ACSM event. Guy comes up to me looking at

572
00:31:41,559 --> 00:31:42,960
the same thing I'm looking with her. So I know

573
00:31:43,000 --> 00:31:45,680
who you are. I just want to say hi, and

574
00:31:45,720 --> 00:31:47,599
I'm a real fan of what you do. And for

575
00:31:47,680 --> 00:31:49,680
obvious reasons, I'm not going to take a picture with you,

576
00:31:49,799 --> 00:31:52,880
but keep it up. And so you get to live

577
00:31:52,880 --> 00:31:56,119
in that world and that's that's a that's a neat space.

578
00:31:56,440 --> 00:31:56,920
Speaker 3: Yeah.

579
00:31:57,160 --> 00:31:59,839
Speaker 1: I was, you know, was at Microsoft for a few years,

580
00:32:00,799 --> 00:32:03,839
quite a lot of years, and this is a societal point.

581
00:32:04,319 --> 00:32:05,960
And I know you've been kind with your time, so

582
00:32:06,039 --> 00:32:09,599
we can wrap it up. But I was in a

583
00:32:09,640 --> 00:32:17,079
meeting and a SVP was here presenting a plan, and

584
00:32:17,119 --> 00:32:19,759
it was to acquire this company they thought was going

585
00:32:19,799 --> 00:32:20,480
to beat YouTube.

586
00:32:21,079 --> 00:32:22,000
Speaker 2: This was back in the day.

587
00:32:22,839 --> 00:32:25,720
Speaker 1: And I'm listening to this and everyone around the table

588
00:32:25,839 --> 00:32:28,240
is going, this is great.

589
00:32:29,200 --> 00:32:31,319
Speaker 2: Rock them on, perfect SVP.

590
00:32:31,920 --> 00:32:33,720
Speaker 1: And it comes around to me and I'm one of

591
00:32:33,920 --> 00:32:37,079
like eight people in the room and I said to

592
00:32:37,119 --> 00:32:41,839
the VP, have you made your decision? Well, no, that's

593
00:32:41,839 --> 00:32:46,559
why I'm here. Are you genuinely open to feedback? Yes,

594
00:32:46,640 --> 00:32:49,759
that's why I'm here. It's a stupid idea. This can't

595
00:32:49,839 --> 00:32:53,519
possibly catch YouTube. YouTube has a snowball algorithm we don't

596
00:32:53,599 --> 00:32:57,519
yet even understand. It's got a massive repository of videos.

597
00:32:57,519 --> 00:32:59,119
Do you understand that they have more video than all

598
00:32:59,160 --> 00:33:02,720
TV network Himbai? And it's also all metanalyzed with keywords.

599
00:33:02,720 --> 00:33:04,880
Do you understand it? It's not a video service, it's

600
00:33:04,880 --> 00:33:06,599
a search engine. It's going to be the world's larger

601
00:33:06,680 --> 00:33:07,799
search engine.

602
00:33:07,480 --> 00:33:09,799
Speaker 2: But with more valuable content. Because it's audio video.

603
00:33:10,000 --> 00:33:11,359
Speaker 1: I mean to understand that they're going to be doing

604
00:33:11,400 --> 00:33:14,359
live video, et cetera. This thing isn't five years behind,

605
00:33:14,400 --> 00:33:17,000
it's five hundred years behind. This is a stupid purchase.

606
00:33:17,000 --> 00:33:21,440
You'd be wasting money, you'd embarrass yourself. And he looked

607
00:33:21,480 --> 00:33:23,920
at me and he goes, that's why you're here. And

608
00:33:23,960 --> 00:33:25,759
then you looked around the room and he goes, why

609
00:33:25,880 --> 00:33:31,119
was he the only one? And later a guy came

610
00:33:31,200 --> 00:33:32,880
up to me, and he was a GM two, and

611
00:33:32,880 --> 00:33:33,759
he came up and said.

612
00:33:36,319 --> 00:33:36,720
Speaker 2: Thank you.

613
00:33:37,920 --> 00:33:41,480
Speaker 1: And I don't I generinely don't curse that much, but

614
00:33:41,559 --> 00:33:44,279
I actually said.

615
00:33:44,160 --> 00:33:47,240
Speaker 2: F off, you left it to me.

616
00:33:48,279 --> 00:33:49,880
Speaker 1: I'm the junior guy in that room. You've been here

617
00:33:49,920 --> 00:33:53,559
fifteen years. I'm the guy who has to say that right,

618
00:33:53,759 --> 00:33:57,480
no speak up. So my point, Greg is you have

619
00:33:57,599 --> 00:34:02,720
earned and earned earn grown wealth enough that they can't

620
00:34:02,720 --> 00:34:04,599
do much to you. I mean, they could, they could

621
00:34:04,640 --> 00:34:07,000
assassinate you, god willing, they won't.

622
00:34:08,679 --> 00:34:10,280
Speaker 2: They can threaten you. They've tried that.

623
00:34:10,400 --> 00:34:14,280
Speaker 1: They tried to ruin you in court. And what do

624
00:34:14,360 --> 00:34:17,840
you say to people who don't have your wealth but

625
00:34:17,960 --> 00:34:21,159
need to speak up because Greg, I think the time

626
00:34:21,239 --> 00:34:23,159
is short to tell truth. I mean, I think God's

627
00:34:23,159 --> 00:34:25,440
showing us we're personally. You and I have never really

628
00:34:25,480 --> 00:34:27,039
talked about faith, But person I think we're in an

629
00:34:27,199 --> 00:34:30,239
end Times center. Everybody thinks that everybody thinks that we

630
00:34:30,239 --> 00:34:32,199
should talk one day about the pe value of Isaiah

631
00:34:32,199 --> 00:34:35,480
and Daniel. But what do you say to people who

632
00:34:35,559 --> 00:34:38,000
know they should speak up, but they're afraid.

633
00:34:39,280 --> 00:34:43,039
Speaker 4: I fully understand that. You know, I'm I can't tell

634
00:34:44,840 --> 00:34:47,960
a football player, guy in the NFL, I had this.

635
00:34:48,199 --> 00:34:49,639
I couldn't look him in the eyes and tell me

636
00:34:49,679 --> 00:34:53,719
you have quit taking steroids. I wasn't gonna play football.

637
00:34:53,719 --> 00:34:55,599
He knew that it was he was in the NFL

638
00:34:55,679 --> 00:34:59,760
because that's what got him from Sunday to Sunday. Yeah,

639
00:35:00,079 --> 00:35:03,840
that's what made it possible. And so I do I

640
00:35:03,880 --> 00:35:07,079
think they're healthy for you to know shorten your life? Likely?

641
00:35:08,440 --> 00:35:11,920
Is it my decision to make to I mean, this

642
00:35:12,039 --> 00:35:14,920
is the public health question. No. At one point, do

643
00:35:14,960 --> 00:35:18,239
you not send your kids to school? You know, and

644
00:35:18,280 --> 00:35:22,519
that's a very personal decision. And for families where an

645
00:35:22,639 --> 00:35:25,159
education didn't matter, what's it matter if you kids weren't

646
00:35:25,199 --> 00:35:27,880
going to school anyways? Maybe it didn't matter. But if

647
00:35:27,960 --> 00:35:29,920
school was the way for your kids to get out

648
00:35:29,960 --> 00:35:34,559
of their situation, then of course it mattered. No, I'm not.

649
00:35:34,920 --> 00:35:37,159
I don't have that fatal conceit to be able to

650
00:35:37,159 --> 00:35:40,760
tell everyone what to do. But I certainly know to

651
00:35:41,159 --> 00:35:43,840
take my hat off and drop to a knee when

652
00:35:43,920 --> 00:35:46,880
someone makes it sacrifice like that, like that Gal from

653
00:35:46,960 --> 00:35:52,119
Levi Strauss. You know, God bless her. Look what she did.

654
00:35:52,199 --> 00:35:55,719
Isn't it extraordinary? If I have that expectation of everyone, right,

655
00:35:55,800 --> 00:35:57,360
you know, there's got to be the one guy that

656
00:35:57,400 --> 00:36:00,719
will run into the building room to building, how to

657
00:36:00,760 --> 00:36:05,480
be the hero It only have if not everyone will, right,

658
00:36:06,239 --> 00:36:08,119
And I don't fault those people.

659
00:36:08,400 --> 00:36:08,639
Speaker 3: Yeah.

660
00:36:08,840 --> 00:36:13,639
Speaker 1: Yeah, And what I've discovered for myself, and this is

661
00:36:13,679 --> 00:36:15,880
a faith thing as well, is you know I was

662
00:36:15,920 --> 00:36:18,320
told I've never work in radio game right when I

663
00:36:18,360 --> 00:36:20,440
quit local radio said no to a five year contract.

664
00:36:20,760 --> 00:36:22,519
That's a setup over there for one hundred and eighty

665
00:36:22,559 --> 00:36:26,280
radio stations. Yeah, the weekend stuff is sixty radio stations.

666
00:36:27,000 --> 00:36:29,039
The audio version of our podcast is in the top

667
00:36:29,239 --> 00:36:30,960
one half of one percent globally.

668
00:36:31,400 --> 00:36:34,960
Speaker 2: We're starting to make things happen on YouTube and video. People.

669
00:36:35,079 --> 00:36:38,280
Speaker 1: Faith the Christian scenario is, hey, what you give up

670
00:36:38,280 --> 00:36:40,960
for God, you'll get back seven times. And what I

671
00:36:40,960 --> 00:36:43,119
would say to people is, if you can't speak out

672
00:36:43,159 --> 00:36:45,840
at work, speak out to your kids. Let them know

673
00:36:45,880 --> 00:36:48,800
what you're seeing, show them how to validate, how to predict.

674
00:36:48,880 --> 00:36:50,880
We did this with our daughter growing up. What will

675
00:36:51,039 --> 00:36:55,000
happen if I take a boiled egg and spin it

676
00:36:55,119 --> 00:36:56,960
versus a non boiled egg, And we.

677
00:36:56,960 --> 00:36:57,599
Speaker 2: Did a lot of that.

678
00:36:57,800 --> 00:36:59,440
Speaker 1: Teach your kids so that they don't have to be

679
00:36:59,440 --> 00:37:02,039
in the same siren. They don't have to live under

680
00:37:02,079 --> 00:37:07,119
the fear of I said the unpopular thing. There are

681
00:37:07,159 --> 00:37:10,079
a lot of people down at renew who shouldn't be alive.

682
00:37:10,280 --> 00:37:14,280
One of them is Adam. Adam has brittle bones. He's

683
00:37:14,280 --> 00:37:17,719
supposed to be dead and he's been told multiple times

684
00:37:17,800 --> 00:37:18,679
he's going to be dead.

685
00:37:19,079 --> 00:37:20,119
Speaker 2: He's a guy that can.

686
00:37:19,960 --> 00:37:22,199
Speaker 1: Break his leg standing up from a chair.

687
00:37:22,239 --> 00:37:23,840
Speaker 2: But he continues.

688
00:37:23,239 --> 00:37:26,480
Speaker 1: To seek health. So he swims and there's other things

689
00:37:26,480 --> 00:37:29,400
he does. He does very very careful ketabout work and

690
00:37:29,480 --> 00:37:31,599
body weight work. If you saw him, he'd never know

691
00:37:31,639 --> 00:37:34,599
that he has this disease. Is a young guy, So

692
00:37:34,639 --> 00:37:37,559
what has kept him going, Well, it's the exercise. It's

693
00:37:37,559 --> 00:37:40,880
God's design and it's the stem cells God designed. He's

694
00:37:40,880 --> 00:37:44,079
one of the doctors down there. So the stem cells

695
00:37:44,079 --> 00:37:48,079
ethically gathered from umbilical cords and placentas only is something

696
00:37:48,119 --> 00:37:51,119
he's infused with on a regular basis because it keeps

697
00:37:51,320 --> 00:37:55,039
growing back body parts that shouldn't be growing back muscle, tendon,

698
00:37:55,239 --> 00:37:59,159
cartilage that's not allowed here. And this economy is being

699
00:37:59,199 --> 00:38:02,360
set up in this safe city in Mexico, Porto Iarta.

700
00:38:02,800 --> 00:38:04,800
There's dental clinics that do things down there they're not

701
00:38:04,800 --> 00:38:06,480
allowed to do up here that you can go in

702
00:38:06,639 --> 00:38:09,119
fifteen minutes get done work down there that would take

703
00:38:09,119 --> 00:38:11,679
you two or three hours up here. I've experienced with

704
00:38:11,719 --> 00:38:14,159
the umbilical with the umbilical cords and stem cells from

705
00:38:14,159 --> 00:38:17,320
placentis two times. I'm taking a group of friends down there.

706
00:38:17,360 --> 00:38:20,280
It looks like we're gonna go end of March. Four men,

707
00:38:20,480 --> 00:38:22,320
all of them gonna take advantage of this. See if

708
00:38:22,360 --> 00:38:25,039
they can help you. Go to renew dot Healthcare. It's

709
00:38:25,039 --> 00:38:28,559
our e n U E dot healthcare. Back pain, neuropathy.

710
00:38:28,639 --> 00:38:30,880
Being told you have to have shoulder surgery that might

711
00:38:30,920 --> 00:38:33,000
not be true. You might be able to be healed

712
00:38:33,320 --> 00:38:36,039
without the surgery that happens on a pretty regular basis.

713
00:38:36,039 --> 00:38:38,800
It's renew dot healthcare. Please tell them you're part of

714
00:38:38,840 --> 00:38:39,960
the Todd Hermanshell family.

715
00:38:41,480 --> 00:38:45,440
Speaker 4: I've got, I've got I've got a just last week,

716
00:38:45,519 --> 00:38:47,960
eleven year old and here nine and a half year

717
00:38:47,960 --> 00:38:50,880
older brother. But we can be listening to some kind

718
00:38:50,880 --> 00:38:53,079
of news story and it turns on, what's the what's

719
00:38:53,119 --> 00:38:58,559
going on here? No such thing as free? Thank you?

720
00:38:58,639 --> 00:39:01,559
Turn it back up. Just start with some basics. Right.

721
00:39:01,880 --> 00:39:04,320
Somebody paid for it, right? Right? Somebody?

722
00:39:04,480 --> 00:39:04,599
Speaker 3: Right?

723
00:39:04,639 --> 00:39:05,679
Speaker 2: It's not free healthcare.

724
00:39:05,800 --> 00:39:08,400
Speaker 4: That's the thing to ask. He's paying for it? Right?

725
00:39:08,559 --> 00:39:11,039
Speaker 1: That's that is a perfect, perfect question, and it brings

726
00:39:11,119 --> 00:39:14,119
us back to broken science, broken science institute.

727
00:39:14,119 --> 00:39:16,679
Speaker 2: Who's paying for it? I think we have a decent idea.

728
00:39:16,880 --> 00:39:19,880
Speaker 4: My dad would turn down the TV anytime nine out

729
00:39:19,880 --> 00:39:22,519
of ten, Dennis, and I'm telling you this one on

730
00:39:22,639 --> 00:39:26,039
for fifteen years, and he'd turned down the TV and

731
00:39:26,119 --> 00:39:29,440
explained whoever was sitting there, that there's no voting in

732
00:39:29,480 --> 00:39:31,960
science and that innovation is going to come from the

733
00:39:32,000 --> 00:39:35,079
one scientist and the one dentist. In ten You want

734
00:39:35,079 --> 00:39:36,840
to know what's he using to brush his teeth?

735
00:39:36,920 --> 00:39:37,119
Speaker 1: Right?

736
00:39:37,280 --> 00:39:40,039
Speaker 4: Not that he won't use pepsident or whatever the hell

737
00:39:40,119 --> 00:39:40,480
it was.

738
00:39:40,760 --> 00:39:43,519
Speaker 1: But I had my company, spin Spotter. I was at

739
00:39:43,760 --> 00:39:47,159
we Want a Demo God Award. We were great idea,

740
00:39:47,320 --> 00:39:49,760
just really too early. Social media wasn't there yet. And

741
00:39:49,800 --> 00:39:52,000
I was talking to Walt Mahlsberg.

742
00:39:52,079 --> 00:39:52,840
Speaker 2: You know what I know?

743
00:39:53,360 --> 00:39:55,480
Speaker 1: Okay, So he's tech writer yea, yeah, I do know

744
00:39:55,480 --> 00:39:57,920
who that is, big, big wigger. He came up to

745
00:39:57,960 --> 00:40:01,440
me and super column Yeah yeah, and my and my

746
00:40:01,519 --> 00:40:04,239
PR agent who hates me now because she's gone off

747
00:40:04,239 --> 00:40:07,840
the off the cliff, leftist, and the guy I hired

748
00:40:07,840 --> 00:40:11,000
to run the company's going to Okay, Waltz coming, I've

749
00:40:11,000 --> 00:40:13,519
met him at Microsoft. He's a decent guy. What walks

750
00:40:13,559 --> 00:40:16,760
up and he says, spin Spotter. Show me one instance

751
00:40:16,800 --> 00:40:20,039
of spin in the Wall Street Journal. Go so, go

752
00:40:20,079 --> 00:40:23,280
to Wall Street Journal, pull up an article and turn

753
00:40:23,360 --> 00:40:25,400
on our device was a toolbar back in the day

754
00:40:25,440 --> 00:40:28,360
when those are their thing. It keys in this article

755
00:40:28,719 --> 00:40:32,880
and it hides hits the phrase experts say. And Waltz says,

756
00:40:32,960 --> 00:40:35,280
what's wrong with that? I go, well, let's hit click

757
00:40:35,440 --> 00:40:40,400
it said which experts? The article quotes one person and

758
00:40:41,079 --> 00:40:44,079
and you're saying experts plural and he sat there and

759
00:40:44,159 --> 00:40:47,440
it's like this uncomfortable silence and my pr agent is shaking,

760
00:40:48,119 --> 00:40:51,559
and what goes, Hey, you're right, it shouldn't either we had.

761
00:40:51,679 --> 00:40:53,599
Speaker 4: I was saying, someone needs to set up a reddit

762
00:40:53,679 --> 00:40:55,960
or a page, and it's would be the I stop

763
00:40:56,039 --> 00:41:01,320
reading when and yes, And for me it's experts say yep.

764
00:41:01,679 --> 00:41:05,400
But my favorite all time was parenting experts at Harvard,

765
00:41:05,599 --> 00:41:09,440
and I'm like done, I'm done. There are no parenting

766
00:41:09,480 --> 00:41:12,039
experts and if they were, they're not atror that we

767
00:41:12,159 --> 00:41:16,519
know for a frat. Yeah, isn't that great parenting experts

768
00:41:16,519 --> 00:41:17,079
at Harvard?

769
00:41:17,280 --> 00:41:18,000
Speaker 3: Yeah? Yeah.

770
00:41:18,239 --> 00:41:24,679
Speaker 1: The simplest questions can befuddle the most nefarious schemers. I've

771
00:41:24,679 --> 00:41:26,760
told you before. With the injection that doctor, I said,

772
00:41:26,760 --> 00:41:27,400
how's it work?

773
00:41:28,760 --> 00:41:28,840
Speaker 3: What?

774
00:41:29,920 --> 00:41:31,440
Speaker 1: No, how does it work? And then he goes, well,

775
00:41:31,480 --> 00:41:33,599
it's a in ard. By that, I mean an ACTIVISTY.

776
00:41:33,679 --> 00:41:35,239
I got that when you said a nerd, you know,

777
00:41:35,400 --> 00:41:38,119
portion of the virus that builds anybody's your body. And

778
00:41:38,199 --> 00:41:40,119
I go, oh, so it's not a gene sequencing device

779
00:41:40,119 --> 00:41:42,360
that produces a fact simile of the spike protein forty

780
00:41:42,360 --> 00:41:44,199
six million at a time in my body. And he

781
00:41:44,239 --> 00:41:47,199
says this to mcgregors. If you knew that, why'd you ask?

782
00:41:47,239 --> 00:41:49,239
I go? Well, better question, Since you knew it, why

783
00:41:49,239 --> 00:41:49,719
did you lie?

784
00:41:49,840 --> 00:41:50,039
Speaker 3: You know?

785
00:41:50,159 --> 00:41:54,039
Speaker 4: The Emperor's Naked story? Oh yeah, there needs to be

786
00:41:54,079 --> 00:41:56,679
a redo on that where the kid's parents get audited

787
00:41:56,760 --> 00:41:59,199
and the mom loses your job and he gets thrown

788
00:41:59,239 --> 00:42:02,079
out of the price at school and yeah, you know what,

789
00:42:03,400 --> 00:42:05,480
But the costs were the security that wroughs them up

790
00:42:05,480 --> 00:42:07,199
on their way to the gard right right, you know.

791
00:42:07,320 --> 00:42:09,119
I mean that was just just the start of it.

792
00:42:09,119 --> 00:42:12,639
But it was as simple as that is, the Emperor's Naked.

793
00:42:13,119 --> 00:42:16,519
I have a quick Microsoft story for you. There was

794
00:42:16,559 --> 00:42:23,760
a Xbox Devices division of longtime early employees, filthy, rich,

795
00:42:23,840 --> 00:42:28,760
wonderful men. They were all friends each and all crossfitting together.

796
00:42:28,840 --> 00:42:31,840
Led by a fifty five year old gentlemen. They could

797
00:42:31,880 --> 00:42:35,400
probably do seventy five pull ups neat neat crew. But

798
00:42:35,480 --> 00:42:39,719
they had a wearable that crazy enough knew the difference

799
00:42:39,760 --> 00:42:42,360
between lat pulled down and pull ups riding a stationary

800
00:42:42,360 --> 00:42:44,559
bike and a real bike. Tell you you're doing, Fran,

801
00:42:44,719 --> 00:42:48,239
Diane or Helen. You put in simple inputs and that

802
00:42:48,360 --> 00:42:51,360
was me. Wow, wow, So we're doing all this stuff

803
00:42:51,400 --> 00:42:53,920
and the first thing it was funny to me, was

804
00:42:53,960 --> 00:42:56,320
it I said, it's really good because I did fran

805
00:42:56,440 --> 00:42:59,320
and I timed it and I counted the repsenter degree

806
00:42:59,400 --> 00:43:02,960
with me, So that's really cool. The technology is amazing.

807
00:43:02,960 --> 00:43:05,639
And then over time it's like, but I think I

808
00:43:05,719 --> 00:43:08,480
also know the difference between real pull ups and that pulldown,

809
00:43:08,920 --> 00:43:11,679
and I also pretty much aware of when I'm riding

810
00:43:11,679 --> 00:43:15,519
the stationary bike versus yeah, and I and it's like,

811
00:43:16,199 --> 00:43:19,719
it's it's amazing and it's wow, but it's gonna end

812
00:43:19,800 --> 00:43:23,719
up in the drunk drawer. And I had to walk

813
00:43:23,719 --> 00:43:26,559
away from the project and they were heartbroken.

814
00:43:27,039 --> 00:43:30,079
Speaker 1: I've I conceived of a device like that when I

815
00:43:30,079 --> 00:43:31,880
was leaving Washington, d C. Trying to figure out what

816
00:43:31,920 --> 00:43:33,880
to do next, and we started to look at that.

817
00:43:33,920 --> 00:43:35,639
We just came up that we could probably figure out

818
00:43:35,639 --> 00:43:39,840
bench press but then wait, push ups, right, And I see,

819
00:43:39,920 --> 00:43:41,920
you're not making fun of my garment Phoenix seven.

820
00:43:41,960 --> 00:43:46,360
Speaker 4: No, but their thing worked. It was ingenious, collected signatures

821
00:43:46,360 --> 00:43:48,440
from all these activities for like they were just doing

822
00:43:48,440 --> 00:43:54,239
their own workouts, yea, collecting the signatures, docking, loading up

823
00:43:54,280 --> 00:43:57,800
to the cloud and doing crazy computing all those signatures

824
00:43:57,800 --> 00:44:01,559
and actually found the distinctive that made that a real

825
00:44:01,639 --> 00:44:02,079
pull up.

826
00:44:02,280 --> 00:44:03,840
Speaker 1: That's that's the thing that we're trying to get to

827
00:44:04,320 --> 00:44:05,719
to a crowdsource that we don't have the money to

828
00:44:05,760 --> 00:44:08,920
do that. My friend the Broken Sigence Institute, linked in

829
00:44:08,960 --> 00:44:12,239
the show, notes, it's been so kind with your time.

830
00:44:12,679 --> 00:44:15,559
And I don't mean to embarrass you. I really, this

831
00:44:15,639 --> 00:44:17,800
is not my intent. I just wanted to thank you

832
00:44:17,840 --> 00:44:21,360
for welcoming into your life and you like family, Thank

833
00:44:21,400 --> 00:44:25,800
you and for your kindness. And I'm I'm We're gonna

834
00:44:25,800 --> 00:44:26,440
be blessed by what you do.

835
00:44:26,480 --> 00:44:27,440
Speaker 2: I'm gonna shake your hand again.

836
00:44:27,599 --> 00:44:30,000
Speaker 4: Have me back. I don't quit have any ideas. You

837
00:44:30,119 --> 00:44:32,920
drive here, walk in and you've come on my NAV

838
00:44:33,039 --> 00:44:36,400
got me here without the interstator or any highway. Nice

839
00:44:36,519 --> 00:44:39,599
celtis and back rows the whole way security concern.

840
00:44:39,760 --> 00:44:45,800
Speaker 1: Yeah, all right, Greg Glassman, Broken Science Institutes, and Lord,

841
00:44:45,840 --> 00:44:48,000
thank you for wise counsel friends like this. One day

842
00:44:48,000 --> 00:44:49,360
I'm going to get Greg to read a book I

843
00:44:49,400 --> 00:44:50,760
gave him and we're going to talk faith.

844
00:44:50,800 --> 00:44:52,800
Speaker 2: One day. We're going to have a conversation. This is

845
00:44:52,800 --> 00:44:53,559
a Todd Hermer show.

846
00:44:53,599 --> 00:44:55,920
Speaker 1: Please go be well, be strong, be kind, make every

847
00:44:55,920 --> 00:44:57,440
effort to walk in the light of crust