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Speaker 1: Welcome to the Nick, Dick and Poll Show. I'm Nick Bilton,

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Speaker 1: I'm Dick.

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Speaker 2: What why it's it impossible for us to get through

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Speaker 2: this introductions of the worst they really are.

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Speaker 3: They're so bad you constantly let's try to get I'm

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Speaker 3: no good and you are.

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Speaker 2: Dick, and he's boul Kadruski.

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Speaker 4: Perfect.

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Speaker 1: There we go, and today's episode we're going to be

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Speaker 1: talking about health and wellness, but not We're not going

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Speaker 1: to be selling you anything. We're not going to be We're.

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Speaker 4: Not I'm out. I was led to if there was

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Speaker 4: commissioned salesman.

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Speaker 1: We're not going to be telling you to take ivermectin

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Speaker 1: because you have a cold or cancer. We are going

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Speaker 1: to be uh discussing all of this stuff, but in

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Speaker 1: a different, a different way. Should we start with? What

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Speaker 1: do you want to start with? I have a question

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Speaker 1: about peptides. Are they bullshit? Or are they? Are they?

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Speaker 1: Are they real? Are they so?

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Speaker 4: I mean there's peptides are absolutely real. The issue for most.

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Speaker 2: Of they're not. They're not mythical creatures.

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Speaker 4: No, this is not Yeah, we were talking about BAILO earlier.

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Speaker 4: It's not something out of bail The issue is and

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Speaker 4: this is the case, and maybe this is a good

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Speaker 4: way in is that. And this I think really accelerated

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Speaker 4: during COVID was that there's this hunger among people to

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Speaker 4: believe that most of what orthodox medicine tells them, or

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Speaker 4: at least there's a fraction of what orthodox medicine tells

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Speaker 4: them that's not accurate, or at least I can go

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Speaker 4: out and quote do the research and find out myself.

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Speaker 4: And there's nothing wrong with that instinct. In principle, there's

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Speaker 4: obviously lots of things like that takes you back to

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Speaker 4: your iromectin comment that brings us to peptides. All of

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Speaker 4: these things have some efficacy for some purposes. It's the

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Speaker 4: idea that this is now medicine refuses to provide me

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Speaker 4: this thing that's in all purpose remedy for all kinds

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Speaker 4: of things. That's where this the trapdoor that people tend

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Speaker 4: to fall.

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Speaker 1: But it started twenty twenty COVID.

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Speaker 4: I think it accelerated twenty twenty COVID, where there was

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Speaker 4: this idea medicine refuses to tell me things. Now, there's

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Speaker 4: been lots of times in the past where there's been

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Speaker 4: various kind of lurches in that direction, but it really

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Speaker 4: took off during that period because it was like, yeah, well,

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Speaker 4: you know, if I just stick my head and i'm

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Speaker 4: and we should.

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Speaker 1: Blame what percentage you guys think?

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Speaker 2: I would also I would say also that people.

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Speaker 3: In the course of quote doing their own research unquote

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Speaker 3: now confuse very limited, small scale studies with a fifty

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Speaker 3: thousand person article in.

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Speaker 2: Nature that was done over the course of thirty years.

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Speaker 3: Sure, right, so they'll say, no, no, no, I just

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Speaker 3: read that I should take twenty grams of creatine instead

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Speaker 3: of five grams of creatine because if you don't sleep,

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Speaker 3: if you get little sleep, twenty grams of createed totally

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Speaker 3: makes up for it.

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Speaker 2: Like, okay, that was Yeah, do.

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Speaker 1: You guys think that all bullshit?

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Speaker 4: No?

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Speaker 1: No, okay, So what's real? What's fake?

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Speaker 4: What's Well, that's the problem is that for the most

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Speaker 4: part this stuff real, real exercise works for some people.

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Speaker 1: Although everyone I know gets injured doing exercise.

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Speaker 4: Yeah, well that's.

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Speaker 2: A whole that's a topic.

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Speaker 4: We should go. We can have a golf better when

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Speaker 4: I golf list, is that the same? Or no?

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Speaker 1: Wait, keep going? So and so some of its vivincy

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Speaker 1: is real peptides, like so these tests.

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Speaker 4: Sure, we're at this really preliminary stage whereas Dick was saying, like,

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Speaker 4: we've got relatively small samples, were the test sizes are

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Speaker 4: getting larger, and you're trying to detect an effect size.

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Speaker 4: If it's relatively small, I need a massive population of

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Speaker 4: people to run the test on. I can't just rely

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Speaker 4: on fifty people because there's huge noise. There's also a

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Speaker 4: placebo effect where everyone's people try some exotic therapy. They

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Speaker 4: really want to believe that it works, and it often

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Speaker 4: does work because the placebo effect is incredibly powerful. Just

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Speaker 4: just because of the medicine doesn't work and you feel better,

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Speaker 4: doesn't mean you didn't feel better, right, You genuinely feel better, right.

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Speaker 4: And so this is the problem is we're at this

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Speaker 4: point where there's a bunch of interesting things that some

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Speaker 4: of which will probably turn out to be really powerful,

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Speaker 4: but that the data doesn't support yet, which ones truly

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Speaker 4: have a material effects size? For the most part, that's

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Speaker 4: not entirely true, But for the most part that's the case.

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Speaker 1: Why don't we start with those again.

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Speaker 4: It doesn't mean that they're nonsense, It just means that

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Speaker 4: it's way too early for people to go out there

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Speaker 4: with blanket statements like you know, load up on two

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Speaker 4: hundred and fifty.

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Speaker 1: Of these and so, yeah, I think the podcasters as

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Speaker 1: a point too right percent to give them.

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Speaker 3: Yeah, No, I mean you watch these podcasts and someone

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Speaker 3: will go on and the host, who is you know,

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Speaker 3: a claimed authority on X, will interview the guest, who

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Speaker 3: they say is noted expert on why and then that

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Speaker 3: person says, you know, you know, there are great studies

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Speaker 3: out that say if you take twenty grams of creatine,

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Speaker 3: it can make up for well, if you go actually

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Speaker 3: dive into the studies, it's for three or four people.

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Speaker 2: What is that?

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Speaker 1: Some cuantine?

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Speaker 4: Real quick?

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Speaker 2: What's that?

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Speaker 1: What is creating?

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Speaker 2: How would you? It's a chemical money.

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Speaker 4: Yeah, it's like a chemical monohydrate that makes it easier

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Speaker 4: for you to produce ATP, which is to say that

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Speaker 4: the fuel that powers yourselves. So in which in which

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Speaker 4: in principle, in parts of your body that are really

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Speaker 4: high energy usage, like the brain. The brain uses like

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Speaker 4: I don't know, twenty five percent of your calories on

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Speaker 4: a daily basis, which is crazy.

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Speaker 3: It's a crazy number, by the way, Yeah, which is

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Speaker 3: a crazy brain just your brain takes.

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Speaker 4: Up to it doesn't change much with your thinking hard.

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Speaker 4: So the point being the that that's one of the

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Speaker 4: reasons why, if you read the literature, like creating is

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Speaker 4: increasingly being proposed as a therapy for people with respect

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Speaker 4: to like dementia and Alzheimer's, because you know, in principle,

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Speaker 4: if my brain is operating with a higher at a

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Speaker 4: higher level of energy, with better vascular control, meaning you've

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Speaker 4: got a higher blood flow to your brain, that all

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Speaker 4: else being equal, it probably is preventive with respect to dementias.

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Speaker 4: So there's all this anyways, long standing story about how

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Speaker 4: creating can have an effective.

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Speaker 3: Creatine is usually or not usually maybe maybe taken by

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Speaker 3: people who are like lifting weights and doing you know,

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Speaker 3: lot of resistance work, because it also helps your muscles

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Speaker 3: in your body hold hold more, hold water.

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Speaker 1: Yeah, Dick, do you think that there's a question we

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Speaker 1: could ask? I feel like Poule's kind of like an

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Speaker 1: l M always answer, but I don't know if.

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Speaker 4: It's always mostly nonsense.

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Speaker 1: Do you think that there's one we could ask him

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Speaker 1: that he wouldn't know the answer to.

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Speaker 3: He's making it up as he goes along, but he's

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Speaker 3: just incredibly effective.

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Speaker 4: It's like, I like, how loocinate as a living.

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Speaker 1: All right, so wait, so keep going. You were going

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Speaker 1: on the podcasters and then they're the experts.

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Speaker 2: It's great, this is a real one. You know.

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Speaker 3: Oh, there are a bunch of studies out well, a

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Speaker 3: bunch of studies turns out to be not a lot,

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Speaker 3: a few studies. They're very small studies that in a

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Speaker 3: few people resulted. And if you only got two or

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Speaker 3: three hours of sleep, you know, you were still able

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Speaker 3: to deal with these cognitive you know tests in a

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Speaker 3: way that someone who had gotten eight or nine hours

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Speaker 3: of sleep had done.

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Speaker 2: But it didn't do that for a lot of people.

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Speaker 3: Yeah, you know, so these blanket statements are made and

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Speaker 3: then people just quote do their own research unquote and say, well,

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Speaker 3: I heard on the so and so podcast from this expert,

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Speaker 3: I was interviewed by this other expert that there are

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Speaker 3: all these studies and these things are just declared as facts.

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Speaker 4: And it also is that the economics of supplements are

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Speaker 4: so good, like they're so ridiculously profitable.

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Speaker 2: It's all they're super expensive and it's.

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Speaker 4: All expensive and it's all margins. So if you know,

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Speaker 4: I just said that, yeah, it was so good and

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Speaker 4: so because of the margin so good on it means

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Speaker 4: that it's a great thing to sell on well, podcasts

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Speaker 4: or anything else. And as a result, almost everyone's second

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Speaker 4: secondary business is selling supplements, like you know, one day

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Speaker 4: ours will clearly be and so they're out there flogging

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Speaker 4: them non stop. And it's hilarious. Like even I was

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Speaker 4: reading somewhere the statistics on what's his name, the conspiracy

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Speaker 4: theorist guy who got.

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Speaker 1: Jones, Alex Jones.

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Speaker 4: So you knew right away Alex jones whole business was

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Speaker 4: nothing to do with anything other than these ancillary sales

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Speaker 4: T shirts and supplements.

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Speaker 1: Well, that's also the funny, incredible.

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Speaker 4: Like one hundred million dollar business.

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Speaker 1: There's also the fact that, like you've got if you

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Speaker 1: look at Gwyneth Paltrow and what she's selling on the

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Speaker 1: left and then you've got Alex Jones what he's selling

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Speaker 1: on the right, it's actually the same stuff. But it's

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Speaker 1: all the same.

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Speaker 2: You're going to get it now. Here's we're just we're.

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Speaker 3: We're getting audience, angry audience, females incoming, live, people showing up.

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Speaker 1: Well, I think we should just take a moment to

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Speaker 1: say that this podcast is sponsored by I.

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Speaker 4: Exactly.

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Speaker 3: It's all sick people. There's this weird and it's actually happening.

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Speaker 3: One is good, more is better, which we've learned year

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Speaker 3: after year after year about everything is not true. But

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Speaker 3: with creatine and these other supplements, people are well, if

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Speaker 3: one is good, four is probably amazing.

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Speaker 2: We see it constantly.

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Speaker 4: Crazy. We were talking about this in the context of this,

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Speaker 4: this this big race was going on recently, this two

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Speaker 4: hundred miles running around and the single biggest concern in

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Speaker 4: the race, like most races that are over about ten

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Speaker 4: k is that people over hydrate, which is so crazy.

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Speaker 1: And it wasn't just just the audience is going to

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Speaker 1: say because I've been fascinated by this, so go down

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Speaker 1: the road. There was a race recently in Mammoth. It

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Speaker 1: was a two hundred mile race that people running running,

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Speaker 1: and then I was researching people Hallucini.

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Speaker 3: Well, yeah, you run two hundred miles for five hours

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Speaker 3: and see if you aren't seeing the giant talking chocolate mushrooms.

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Speaker 4: Yeah, NonStop pretty much. So the point is that in

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Speaker 4: all of these things, and this dates back. We saw

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Speaker 4: this in the Boston Marathon years ago that people were

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Speaker 4: told you should drink before you're thirsty, and that turned

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Speaker 4: into this crazy prescription that you should stop at every

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Speaker 4: drink station and drink. And the same thing is true

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Speaker 4: obviously if you're running for two hundred miles, which is

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Speaker 4: also true for running a marathon, that more is better.

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Speaker 4: And it turns out that more is better is not

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Speaker 4: only wrong in the context of those kinds of events,

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Speaker 4: it's actually dangerous because very few people are hospitalized for dehydration,

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Speaker 4: virtually not I don't even think it's happened in the

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Speaker 4: last five ten Boston marathons. But people are regularly hospital

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Speaker 4: as for what's called hypenetremia, which is excess of water

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Speaker 4: which has diluted your blood sodium, your plasma sodium, and

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Speaker 4: as a result, you're can be a medical emergency. And

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Speaker 4: this is the same instinct that like, if a little

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Speaker 4: is good, people tell me I should drink. Are you

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Speaker 4: about to make fun of hype?

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Speaker 1: And you're like the last five marathons, six hundred and

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Speaker 1: forty two thousand people ran and did.

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Speaker 4: There's certain things I know reasonably well.

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Speaker 3: If I had a nickel for every time Paul talked

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Speaker 3: to me about hYP treament again with the hype and treatment,

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Speaker 3: come on, I.

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Speaker 4: Wouldn't be doing this show anyways. So but it gets

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Speaker 4: this instinct, right, this idea that if a little is good,

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Speaker 4: people tell me I should drink because I'll feel better,

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Speaker 4: I should have more. Same thing is true for one

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Speaker 4: supplement is good, Why not two hundred and fifty?

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Speaker 1: Now does AI make this worse or better? Worse?

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Speaker 2: Okay, worse for the following reason. And here's why. I'll

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Speaker 2: give you a specific example.

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Speaker 3: And there everyone listening will will recognize this in someone

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Speaker 3: they know. So I have a friend who has high

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Speaker 3: cholesterol and decides I'm not gonna I'm not gonna go

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Speaker 3: on a stat and I'm gonna lower my cholesterol naturally.

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Speaker 3: So they hop over to Claude or chat GPT and

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Speaker 3: type in, here's my LDL, I want to lower it naturally.

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Speaker 3: What do I do you know? Out come the here

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Speaker 3: come the nineteen things to go? Do you know red rice,

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Speaker 3: yeast or whatever the heck that is all these things?

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Speaker 3: I'm sure Again, as Paul and I are saying, sure,

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Speaker 3: some of these things are great and you should definitely

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Speaker 3: do them, But then there's you know you should and

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Speaker 3: add in alphalapoka acid and add in this, and pretty

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Speaker 3: soon they're taking nineteen things h instead of maybe one

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Speaker 3: or two things, and then you get into.

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Speaker 4: This this, this, even if they are working, and it's

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Speaker 4: no different than if you watch one of the biggest

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Speaker 4: issues in eldercare is that they end up on twenty

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Speaker 4: different medications, right, and then the problem is you're taking

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Speaker 4: medications for the media. That's right, because of all the interactions.

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Speaker 4: It's no differ in supplements. Things start interacting with each other.

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Speaker 4: I take one thing for one purpose, and we were

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Speaker 4: talking about this earlier. Suddenly it's limiting iron absorption in

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Speaker 4: amnemic and it's like, wait a minute, I was taking

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Speaker 4: using this for something else. And so this is the

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Speaker 4: problem as well. Even if it does work, taking so

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Speaker 4: many things at once is no different than in elder

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Speaker 4: care when they're taking twenty different medications and suddenly this

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Speaker 4: which I'm taking from my heart problem is causing me

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Speaker 4: to be weak and I fell over and break a hip.

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Speaker 3: By the way, they also so these everyone who's I

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Speaker 3: should say, most people who are typing this in and

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Speaker 3: then writing it down and going and buying all the

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Speaker 3: things don't know what most of these things do. Now,

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Speaker 3: And another friend over for dinner is like, I'm you know,

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Speaker 3: I'm on a regimen now every day for you know,

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Speaker 3: trying to get in shape. So I'm taking a bunch

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Speaker 3: of supplements along with exercising for the first time. So

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Speaker 3: I typed into you know, chat chipd or Claude. You

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Speaker 3: know I'm doing this, What should I take? And I said,

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Speaker 3: before you tell me, before you say anything, I bet

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Speaker 3: you you're taking Alpha the public accid And he's like, oh,

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Speaker 3: do you like, are you doing this? Are on the

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Speaker 3: same you know stack? Reggie Like, no, it suggests that

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Speaker 3: for most things like I need to lower my cholesterol,

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Speaker 3: I have a nerve issue, I have a joint issue.

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Speaker 3: I want to you know, lower the inflammation of my body.

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Speaker 3: Like He's like, wow, I didn't realize that. I said,

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Speaker 3: here's my next question for you. What does alfel The

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Speaker 3: pocas said, do zero idea, just write it. We wouldn't

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Speaker 3: do this and any other thing.

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Speaker 1: And you're essentially getting health advice from Reddit.

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Speaker 4: Yeah, that's right. So thirty some thirty, the average thirty

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Speaker 4: seven year old on Reddit says I should do this, Well,

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Speaker 4: then I'll do it.

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Speaker 1: I'm in I have a brain tumor. You go to Reddit,

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Speaker 1: you don't ask a doctor.

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Speaker 5: Yeah, that's.

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Speaker 1: What about these these tests where they can predict or

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Speaker 1: not predict, They can find if you have like the

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Speaker 1: pernovos and all those things that the body scans. Yes,

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Speaker 1: but also like the tests where they can see if

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Speaker 1: you have cancer from your blood, blood.

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Speaker 2: Boods and things like that blood test. Yeah, Paul and

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Speaker 2: I are gonna have some disagreement here, but you go first.

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Speaker 4: I can disagree with me right away and see you

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Speaker 4: the trouble. Good, Just cut you out, no middleman.

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Speaker 2: Now what Dick would say, if he were smart.

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Speaker 4: He won't say these things. So these things have really

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Speaker 4: taken off in recent years in part because the are

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Speaker 4: ability to detect my new quantities of like of cancrous

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Speaker 4: material and blood plasmas has actually accelerated a lot. So

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Speaker 4: you were able to detect lots of things in relatively

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Speaker 4: small samples quicker than we used to be able to.

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Speaker 4: And it's also taken off because it's terrific business. So

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Speaker 4: let's say there's a number of companies out there selling

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Speaker 4: baskets of tests for any work from one thousand dollars

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Speaker 4: to five thousand dollars to subscription services of twenty five

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Speaker 4: thousand dollars. This is good business. The marginal caught them.

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Speaker 4: The margin on those things is like ninety nine percent, right,

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Speaker 4: and it's one thousand dollars to do a test. It's

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Speaker 4: costing them. What's it costing them, like pennies?

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Speaker 1: Pennies?

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Speaker 4: Well, yeah, so it's great, great business for them. And

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Speaker 4: so that doesn't mean that they're wrong. It's just it's

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Speaker 4: important to keep in mind that this is a terrific

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Speaker 4: business selling you the tests. And again, think about I'll

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Speaker 4: back into this by saying, think about the people who

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Speaker 4: are being tested. The people are being tested are generally

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Speaker 4: the people who have the lowest propensity to actually be ill.

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Speaker 4: It tends to people who can afford one thousand dollars tests.

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Speaker 1: These are not why you're pointing it, dick, you can.

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Speaker 4: No, that's right, it's not dick. And so these populations

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Speaker 4: tend to have the lowest incidences of most of the

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Speaker 4: things that they're testing for because they're actually all they're

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Speaker 4: actually fairly healthy, people who take reasonable.

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Speaker 1: Cast people who want to look at who are looking

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Speaker 1: at themselves are going to be the ones that do

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Speaker 1: the test rather than the ones.

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Speaker 4: Right, So the expression they use in the industry, they

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Speaker 4: call them the worried well right, I'm targeting the worried well,

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Speaker 4: so they're well, but they're worried. I like those guys,

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Speaker 4: is I can these baskets of tests are really appealing. Again,

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Speaker 4: it doesn't mean the tests don't work. It's just it's

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Speaker 4: important to keep in mind all of these things that

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Speaker 4: are happening higher up the chain, right, that they're highly profitable.

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Speaker 4: They're mostly targeting people who aren't likely to be sick

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Speaker 4: in the first place, because they are the people who

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Speaker 4: can afford these tests. Who are the worried well, who

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Speaker 4: tend to be relatively high income and take.

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Speaker 3: The scams on the This is where we disagree. I

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Speaker 3: agree with you completely about the worried well, and that's

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Speaker 3: going to be a trillion or multi trillion dollar wellness industry.

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Speaker 3: The supplements themselves are crazy expensive. But then these people also,

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Speaker 3: these people everyone in the amongst the worried well, is

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Speaker 3: also on the the daily I don't know whatever athletic

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Speaker 3: whatever is now AG one and then they're on this,

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Speaker 3: and then they're doing that, and I take this before

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Speaker 3: I go to bed, and like with some unknown perhaps

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Speaker 3: placebo effect on the on the test that you're talking about,

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Speaker 3: like the you know, the blood test to detect in

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Speaker 3: cancer particles, cancer material and and the body scans and

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Speaker 3: so forth. You know, if you've got pink, if a

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Speaker 3: friend who has pancreatic cancer, we'll probably all know if

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Speaker 3: somebody who's have pancreatic cancer. If you have pancreatic cancer,

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Speaker 3: you usually don't detect it until it's spread to some

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Speaker 3: other part of your body, because that doesn't hurt until

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Speaker 3: it's in your stomach or your lungs or whatever. And

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Speaker 3: then you're like, oh my hurts when I breathe, and

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Speaker 3: then you go find out like.

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Speaker 2: Ships too late.

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Speaker 3: So the benefit of these blood tests is, Okay, now

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Speaker 3: you can find it much much earlier.

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Speaker 2: And so there's really no other way to derisen.

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Speaker 4: But the problem is that you're not going to go.

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Speaker 1: You're not going to go in every year and get

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Speaker 1: a they're good. Are you saying that?

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Speaker 3: I'm saying like they're helping people who you would you

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Speaker 3: would never otherwise find, but positives you wouldn't otherwise find

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Speaker 3: out until it's too late.

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Speaker 4: Right, And that's true. And I mean, so the problem

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Speaker 4: is that for the most part, where we were talking

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Speaker 4: about relatively rare cancers, pancreatic cancer let's pick on that

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Speaker 4: one as an example.

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Speaker 1: But they don't just do pank credit cancer.

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Speaker 4: They do all kinds, right, But we've got really good

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Speaker 4: tests for the high prevalence cancers. Colon cancer is a

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Speaker 4: good example, right, We've got a very good effective right,

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Speaker 4: and it works really well, and we can actually diagnose

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Speaker 4: and treat at the same time.

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Speaker 2: So my favorite favorite thing to do everything.

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Speaker 4: Yeah, it's like a weight loss clenty. So we've for

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Speaker 4: the higher prevalence cancers. There are very effective tests out

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Speaker 4: there that do not require this, so mostly those are

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Speaker 4: those have already been picked off. So we're what we're

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Speaker 4: talking about for the most part. If you look at

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Speaker 4: the pages of all the listed indications that the cancers

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Speaker 4: that might be detected by these tests, most of those

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Speaker 4: are low prevalence cancers and can't create a cancer. Just

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Speaker 4: to pick on number is a good example, where it's

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Speaker 4: about one in ten thousand, right, the incidence rate of

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Speaker 4: in an otherwise healthy population is about one in ten thousand.

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Speaker 4: And the problem you run into is that that's a

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Speaker 4: very low prevalence. Obviously, that's a you know, a vanishingly

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Speaker 4: small number. Even with a relatively low false positive rate.

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Speaker 4: It's like on the order of say a half a percent,

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Speaker 4: which is pretty darn good, and one hundred percent sensitivity,

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Speaker 4: meaning that if it's there, you actually detect it. You're

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Speaker 4: still going to say, let's say in a population one

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Speaker 4: hundred thousand, it's about a ninety five percent chance that

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Speaker 4: you if a positive a positive test is wrong, it's right.

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Speaker 4: So this is a huge issue. Wise, this is a

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Speaker 4: huge issue. Almost all positives are going to be false,

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Speaker 4: which is most people who people don't like math the reality.

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Speaker 3: Is just going to say the problem is our society

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Speaker 3: is so enumerate, and they'll.

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Speaker 4: Also do the chat thing of well, I know a

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Speaker 4: guy who the inevitable response is, or they'll say this

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Speaker 4: is my favorite is they'll say, yeah, but what about

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Speaker 4: if it's you right, Oh yeah, right, let's just ignore

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Speaker 4: the whole statistics thing that it's like, you know, this

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Speaker 4: is so wildly unlikely. And so the problem is then

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Speaker 4: you have to do follow up tests, which are also expensive.

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Speaker 4: You then may have to do more invasive procedure biops,

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Speaker 4: which can have other complications and so on. And so

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Speaker 4: this isn't to say that it's not great to have

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Speaker 4: early detection of these cancers. It's more just to suggest

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Speaker 4: that the mass screening of humans for low incidence conditions

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Speaker 4: is generally a really bad idea because we expensively test

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Speaker 4: for things that for the most part, we're not going

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Speaker 4: to find, and we're going to not find expensively with consequences.

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Speaker 1: So so you so would your advice? Doctor Paul be

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Speaker 1: to My dad.

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Speaker 4: Used to say that all the time. He said, you're

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Speaker 4: a doctor, but you're not the useful kind.

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Speaker 3: I mean, but isn't this one of those things that's,

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Speaker 3: you know, blood tests for me but not for thee like, yeah,

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Speaker 3: so everyone shouldn't do it.

438
00:20:21,520 --> 00:20:23,400
Speaker 2: I of course I'm going to do it. Yes, would

439
00:20:23,440 --> 00:20:24,160
Speaker 2: you do it? No?

440
00:20:24,440 --> 00:20:28,359
Speaker 1: No, because the millionaires, because why I have no, Because

441
00:20:28,400 --> 00:20:30,560
Speaker 1: it doesn't run in your family because or.

442
00:20:30,600 --> 00:20:33,960
Speaker 4: Yeah, and because the statistics tell me the likelihood of

443
00:20:34,000 --> 00:20:36,360
Speaker 4: me getting a false positive is so high, which will

444
00:20:36,359 --> 00:20:39,719
Speaker 4: be so stressful and annoying. I want no part of this.

445
00:20:39,840 --> 00:20:42,120
Speaker 4: Let's say you have a family history of some specific

446
00:20:42,200 --> 00:20:44,600
Speaker 4: kind of key. Whether it's a breast cancer of them right,

447
00:20:44,800 --> 00:20:47,800
Speaker 4: or it's a you know, prostate cancer, whatever else obviously

448
00:20:47,960 --> 00:20:50,679
Speaker 4: changes the base, right. The point is population, Why is

449
00:20:50,680 --> 00:20:52,920
Speaker 4: it a good idea? Like I see companies for example,

450
00:20:53,000 --> 00:20:55,520
Speaker 4: offering this is part of their health benefits, so they'll

451
00:20:55,560 --> 00:20:58,199
Speaker 4: do executive health screenings where they'll they'll bring you in

452
00:20:58,240 --> 00:21:00,400
Speaker 4: for the day, I'll do a bunch of blood pants manals,

453
00:21:00,680 --> 00:21:04,400
Speaker 4: I'll run you through an MRI and a CT scan. Honestly,

454
00:21:04,480 --> 00:21:07,280
Speaker 4: this is lead gion. This is pure medical lead jon

455
00:21:07,480 --> 00:21:09,240
Speaker 4: because they know it's going to turn into a million

456
00:21:09,240 --> 00:21:12,000
Speaker 4: follow up procedures. It's insanely profitable, and the likely of

457
00:21:12,040 --> 00:21:14,600
Speaker 4: them finding anything, giving the low prevalence of most of

458
00:21:14,640 --> 00:21:17,639
Speaker 4: the things they're checking for, is insanely low. And then

459
00:21:17,680 --> 00:21:18,280
Speaker 4: of course then.

460
00:21:18,440 --> 00:21:19,439
Speaker 2: The only one person.

461
00:21:19,480 --> 00:21:24,119
Speaker 3: Also, you also now have doctors who insta suggest the

462
00:21:24,160 --> 00:21:27,400
Speaker 3: follow up imaging test because they don't want to get suit.

463
00:21:27,400 --> 00:21:27,920
Speaker 4: It's the defense.

464
00:21:27,960 --> 00:21:30,520
Speaker 2: So they're like, if there's any as soon as they.

465
00:21:30,359 --> 00:21:32,680
Speaker 4: Get anything, even if they know it's likely, I've got

466
00:21:32,720 --> 00:21:34,560
Speaker 4: off do all of this. It's called they call it

467
00:21:34,640 --> 00:21:36,800
Speaker 4: testing cascade. It's this testing cascade I have to do

468
00:21:36,840 --> 00:21:39,439
Speaker 4: immediately afterwards. So the answer for me is no. And

469
00:21:39,480 --> 00:21:41,760
Speaker 4: I'm very suspicious of whenever people say I know a

470
00:21:41,800 --> 00:21:43,800
Speaker 4: guy who, because I know you know a guy who,

471
00:21:43,840 --> 00:21:44,520
Speaker 4: that's what happens.

472
00:21:45,080 --> 00:21:48,040
Speaker 3: But I know in fact I had a colonost being afterwards,

473
00:21:48,080 --> 00:21:51,080
Speaker 3: they're like, you know, all fine, all good though only

474
00:21:51,240 --> 00:21:53,119
Speaker 3: this is my primary care physician. The only thing is

475
00:21:53,600 --> 00:21:57,639
Speaker 3: your colon doesn't look structurally like other colons.

476
00:21:57,680 --> 00:21:58,960
Speaker 2: When while you get an MRI, I was.

477
00:21:58,960 --> 00:22:01,399
Speaker 3: Like, it's like it doesn't look at it like it's ugly.

478
00:22:04,440 --> 00:22:07,560
Speaker 3: I hate that it's not hot. It's not a hot colon.

479
00:22:07,880 --> 00:22:11,320
Speaker 3: I wouldn't post this. I wouldn't post this selfie of

480
00:22:11,359 --> 00:22:14,639
Speaker 3: your call and any of the social thanksule this is

481
00:22:14,640 --> 00:22:15,800
Speaker 3: really amazing, Like.

482
00:22:16,000 --> 00:22:18,080
Speaker 2: I mean what it like goes left where it's supposed

483
00:22:18,080 --> 00:22:19,960
Speaker 2: to go right, like did you it's a.

484
00:22:20,000 --> 00:22:22,200
Speaker 3: Vertical and no, no, because this is one where I

485
00:22:22,280 --> 00:22:24,520
Speaker 3: was like, I'm gonna roll with I'm gonna let this one.

486
00:22:24,600 --> 00:22:25,680
Speaker 2: I'm gonna let this one go.

487
00:22:25,840 --> 00:22:28,320
Speaker 4: Let this one go. This doesn't seem worth the follow up.

488
00:22:28,440 --> 00:22:31,480
Speaker 1: So you guys totally against the like pronobos of like,

489
00:22:31,920 --> 00:22:34,679
Speaker 1: which is a total Silicon Valley fat. Everyone I know

490
00:22:34,720 --> 00:22:36,840
Speaker 1: there does it all the time. Like it's it's like,

491
00:22:36,880 --> 00:22:38,520
Speaker 1: what are you doing on Sunday of going to get

492
00:22:38,520 --> 00:22:42,840
Speaker 1: a body scam twelve dollars capucino, Like is do you

493
00:22:42,880 --> 00:22:44,800
Speaker 1: think that there's any benefit of these things?

494
00:22:45,160 --> 00:22:47,439
Speaker 4: Sure? But then you're arguing from exceptions, there will always

495
00:22:47,480 --> 00:22:48,560
Speaker 4: be someone who benefits.

496
00:22:48,680 --> 00:22:51,280
Speaker 3: Yeah, and there are from there are we I mean,

497
00:22:51,960 --> 00:22:54,800
Speaker 3: I know multiple stories of I went and got this

498
00:22:54,840 --> 00:22:56,760
Speaker 3: thing and it felt totally fine and it found a

499
00:22:56,760 --> 00:22:59,840
Speaker 3: golf ball size tumor you know wherever in my call.

500
00:23:00,160 --> 00:23:04,239
Speaker 4: But that's oh, that's the expl But that's always the problem, right,

501
00:23:04,240 --> 00:23:06,680
Speaker 4: So you're forced to argue from the exceptions rather than say,

502
00:23:07,400 --> 00:23:09,560
Speaker 4: turn it around and say, should this be in health

503
00:23:09,600 --> 00:23:11,760
Speaker 4: insurance plan? Should we be in society be willing to

504
00:23:11,760 --> 00:23:13,800
Speaker 4: pay for this for everyone if it's so useful, And

505
00:23:13,840 --> 00:23:16,600
Speaker 4: the answer, of course is no, because here's the problem.

506
00:23:16,600 --> 00:23:18,040
Speaker 4: The problem is it's going to lead to all of

507
00:23:18,080 --> 00:23:20,840
Speaker 4: these incidental findings, all of these false positives, all of

508
00:23:20,880 --> 00:23:23,800
Speaker 4: these testing cascades. So if you, as an individual say,

509
00:23:23,800 --> 00:23:25,840
Speaker 4: you know what I just this is something that makes

510
00:23:25,840 --> 00:23:28,720
Speaker 4: me feel good about myself, go crazy. But as a

511
00:23:28,760 --> 00:23:30,200
Speaker 4: population it doesn't work.

512
00:23:30,320 --> 00:23:32,439
Speaker 1: Isn't part of the problem right now? So biotech is

513
00:23:32,440 --> 00:23:35,080
Speaker 1: having a not a great time, right There's been no

514
00:23:35,160 --> 00:23:37,240
Speaker 1: biotech IPOs in the last year.

515
00:23:37,800 --> 00:23:39,040
Speaker 4: These GLP won things.

516
00:23:39,440 --> 00:23:41,800
Speaker 1: Well, we should discuss the deal in the peptides, but

517
00:23:41,840 --> 00:23:45,840
Speaker 1: real quick. But so there haven't been these advancements in

518
00:23:47,520 --> 00:23:49,719
Speaker 1: medicine that we have expected, but there have been these

519
00:23:49,760 --> 00:23:54,040
Speaker 1: private company versions of it. So you get these stories.

520
00:23:54,119 --> 00:23:55,680
Speaker 1: It's like goes back to what we're talking about earlier.

521
00:23:55,680 --> 00:23:57,720
Speaker 1: You get these stories of people are like, I know

522
00:23:57,760 --> 00:24:00,200
Speaker 1: a guy on a podcast who knew a guy who

523
00:24:00,200 --> 00:24:02,760
Speaker 1: found a golf ball sized tumor and is weird looking

524
00:24:02,800 --> 00:24:05,920
Speaker 1: colon and then it just and so that is it's

525
00:24:06,000 --> 00:24:08,520
Speaker 1: kind of filling a void. Is that accurate?

526
00:24:08,680 --> 00:24:10,199
Speaker 4: Yeah? I think that's I hadn't thought of it that way,

527
00:24:10,200 --> 00:24:11,800
Speaker 4: but I think that's interesting way of thinking about it

528
00:24:11,840 --> 00:24:14,520
Speaker 4: is that people feel like in every other walk of life,

529
00:24:14,560 --> 00:24:16,639
Speaker 4: I'm seeing this constant pace of innovation. Why are you

530
00:24:16,680 --> 00:24:19,840
Speaker 4: biotech people keeping it from me? Right? I Worris the

531
00:24:19,920 --> 00:24:23,040
Speaker 4: chat j GPT of life sciences. I need I need more stuff, right,

532
00:24:23,600 --> 00:24:25,560
Speaker 4: And so people are hungry for it. They find it

533
00:24:25,600 --> 00:24:27,439
Speaker 4: because there is a constant flow of things. It's just

534
00:24:27,480 --> 00:24:30,359
Speaker 4: it's mostly low evidence, small sample sized, low effect, you know,

535
00:24:30,480 --> 00:24:31,879
Speaker 4: low size, and what happened.

536
00:24:32,040 --> 00:24:34,960
Speaker 3: So that's that getting back to your original when we

537
00:24:35,040 --> 00:24:37,040
Speaker 3: first got started, you know, hey, what's going on with us?

538
00:24:37,040 --> 00:24:42,160
Speaker 3: It's peptide stuff I'm hearing about. People are so people

539
00:24:42,240 --> 00:24:44,960
Speaker 3: are hearing it because their friends are taking.

540
00:24:44,600 --> 00:24:47,520
Speaker 2: Them for all manner of things.

541
00:24:47,960 --> 00:24:50,560
Speaker 3: They don't have any idea what they do, but they've

542
00:24:50,600 --> 00:24:54,320
Speaker 3: heard they're great and people we should be taking them,

543
00:24:54,440 --> 00:25:00,240
Speaker 3: I mean for pain, for recovery, for ated, for like

544
00:25:00,480 --> 00:25:03,520
Speaker 3: you name it. And there's so much misinformation out there

545
00:25:03,520 --> 00:25:06,439
Speaker 3: about them. Meanwhile, the studies on these things particularly are

546
00:25:06,520 --> 00:25:10,800
Speaker 3: super small, super yeah, super small sample size, lots of them,

547
00:25:10,800 --> 00:25:13,639
Speaker 3: mostly in Eastern Europe so far, not really in the US.

548
00:25:13,680 --> 00:25:17,160
Speaker 3: So not that there's anything wrong. Look, I'm not there's

549
00:25:17,200 --> 00:25:21,120
Speaker 3: nothing wrong with Eastern Europe. There's some very's terrific. There's

550
00:25:21,160 --> 00:25:23,000
Speaker 3: some very fine people over there.

551
00:25:22,800 --> 00:25:23,840
Speaker 2: In Eastern Europe.

552
00:25:24,760 --> 00:25:29,240
Speaker 3: Editor castle, terrific, castles, vampires, they've got they've got it all.

553
00:25:30,800 --> 00:25:34,840
Speaker 3: But you'll see the missing. I was leaving a rest

554
00:25:35,119 --> 00:25:37,840
Speaker 3: This is seared into my brain. Was leaving a restaurant

555
00:25:37,840 --> 00:25:41,080
Speaker 3: the other day in Manhattan, and as I'm walking out,

556
00:25:41,160 --> 00:25:44,639
Speaker 3: this guy is talking to the three other people at

557
00:25:44,640 --> 00:25:48,720
Speaker 3: his table and says, well, growth hormone and HGH, that's

558
00:25:48,760 --> 00:25:55,120
Speaker 3: all peptides now, And I left thinking, Yeah, that couldn't go,

559
00:25:55,359 --> 00:25:59,439
Speaker 3: couldn't That's gonna go very badly for some people it's

560
00:25:59,440 --> 00:26:02,880
Speaker 3: all getting Yeah, there's like as if it's as if

561
00:26:02,880 --> 00:26:06,080
Speaker 3: these things are a rebrand of HGH. You know, like

562
00:26:06,160 --> 00:26:09,879
Speaker 3: what so you wonder like how did how did you

563
00:26:09,960 --> 00:26:11,400
Speaker 3: get how did you get there?

564
00:26:11,640 --> 00:26:14,679
Speaker 4: But I think some of it one of the things

565
00:26:14,720 --> 00:26:17,480
Speaker 4: that I find really interesting. And there's been some interesting

566
00:26:17,520 --> 00:26:21,760
Speaker 4: stuff lately about this, But how lifespan the increase in

567
00:26:21,800 --> 00:26:23,960
Speaker 4: human lifespan is sort of a rest It's not growing

568
00:26:24,000 --> 00:26:25,720
Speaker 4: as much as it was mid century for a whole

569
00:26:25,760 --> 00:26:28,600
Speaker 4: bunch of different reasons. And but the amount of time

570
00:26:28,600 --> 00:26:32,200
Speaker 4: people spend ill towards the end of their lives is growing, right,

571
00:26:32,240 --> 00:26:35,480
Speaker 4: So this is more called the morbidity versus mortality. Probably

572
00:26:35,680 --> 00:26:38,159
Speaker 4: when you diversus how how crappy you feel for the

573
00:26:38,240 --> 00:26:40,840
Speaker 4: last x many years? And people see that we're going

574
00:26:40,880 --> 00:26:43,200
Speaker 4: to live in an aging population, And I think one

575
00:26:43,200 --> 00:26:44,879
Speaker 4: of the light and fears people I need to do

576
00:26:44,920 --> 00:26:46,520
Speaker 4: something to prevent that from happening to me.

577
00:26:46,760 --> 00:26:48,439
Speaker 3: I don't want the last twenty years. I don't want

578
00:26:48,440 --> 00:26:51,520
Speaker 3: to see me hobbling around on fourteen different medicine.

579
00:26:51,560 --> 00:26:53,359
Speaker 4: And yeah, so some of that is this feeling like

580
00:26:53,359 --> 00:26:55,800
Speaker 4: there must be something medicine can do, even if it

581
00:26:55,840 --> 00:26:59,639
Speaker 4: can't increase my lifespan. There must be something we can

582
00:26:59,640 --> 00:27:01,760
Speaker 4: do about spending the last twenty years in ill health.

583
00:27:01,800 --> 00:27:03,640
Speaker 4: And so that's part of the hunger for these kinds

584
00:27:03,680 --> 00:27:04,439
Speaker 4: of things. Yeah, I mean.

585
00:27:04,480 --> 00:27:07,800
Speaker 1: And it's also everything's a meme. We've talked about this before,

586
00:27:07,840 --> 00:27:10,960
Speaker 1: but like everything's a meme and it's all we see

587
00:27:11,000 --> 00:27:14,040
Speaker 1: one thing and then it becomes that it spreads on

588
00:27:14,600 --> 00:27:16,560
Speaker 1: TikTok and Instagram and this, that and the other, and

589
00:27:16,560 --> 00:27:19,320
Speaker 1: that's how everyone gets their information. And there's there's no

590
00:27:19,440 --> 00:27:23,600
Speaker 1: decided upon agreement of what is real and what is not,

591
00:27:23,800 --> 00:27:25,520
Speaker 1: and so it's all play well.

592
00:27:25,520 --> 00:27:28,119
Speaker 4: And it's also that there's only about three things that

593
00:27:28,160 --> 00:27:31,159
Speaker 4: move the needle in terms of actually human health.

594
00:27:31,000 --> 00:27:33,520
Speaker 3: Right, which are, let me guess someone's going to be nutrition,

595
00:27:34,080 --> 00:27:35,600
Speaker 3: sleep exercise.

596
00:27:35,320 --> 00:27:37,679
Speaker 4: Nutrition, sleep, exercise, and then I may be a distant

597
00:27:37,680 --> 00:27:40,320
Speaker 4: Fourth is having a good circle of friends, right, And

598
00:27:40,520 --> 00:27:42,760
Speaker 4: that's it. Those are the high evidence things that have

599
00:27:42,920 --> 00:27:45,520
Speaker 4: moved the needle the most with respectex or with respect

600
00:27:45,560 --> 00:27:49,000
Speaker 4: to human health. And people don't like any of those.

601
00:27:49,160 --> 00:27:51,240
Speaker 4: I don't have that much control over my sleep. I

602
00:27:51,280 --> 00:27:53,239
Speaker 4: hate eating that crappy food you keep trying to make

603
00:27:53,280 --> 00:27:55,439
Speaker 4: me eat. Don't even try to make me run, and

604
00:27:55,480 --> 00:27:57,840
Speaker 4: most of my friends are idiots, so it's like, screw it,

605
00:27:57,880 --> 00:27:59,200
Speaker 4: I want peptids, right.

606
00:27:59,160 --> 00:28:03,600
Speaker 2: Yeah, you know, or could do some of those new peptids.

607
00:28:03,680 --> 00:28:05,320
Speaker 4: Yeah, yeah, yeah, this is an easy decision.

608
00:28:29,640 --> 00:28:31,720
Speaker 1: Going back to what you were just saying about life expectancy,

609
00:28:32,480 --> 00:28:36,679
Speaker 1: why is is it slowed down because somebody you're taking

610
00:28:37,200 --> 00:28:39,880
Speaker 1: the average from all these people that have died from

611
00:28:39,880 --> 00:28:41,720
Speaker 1: fentanyl and covid and things like that, or is it

612
00:28:41,760 --> 00:28:42,760
Speaker 1: slowed down for everyone?

613
00:28:43,080 --> 00:28:45,040
Speaker 4: No, it's slowed down across the board. It's partly though,

614
00:28:45,080 --> 00:28:48,200
Speaker 4: because there was this dramatic effect. Both covid and fentanyl

615
00:28:48,200 --> 00:28:50,240
Speaker 4: had a huge effect on us lifespans in terms of

616
00:28:50,240 --> 00:28:52,960
Speaker 4: the aggregate figure. That's true, but the bigger issue was

617
00:28:53,240 --> 00:28:56,200
Speaker 4: that most of the gains is the story that medicine

618
00:28:56,200 --> 00:28:57,960
Speaker 4: doesn't tell very well, but most of the gains in

619
00:28:58,040 --> 00:29:00,520
Speaker 4: longevity in the last hundred years were a single which

620
00:29:00,680 --> 00:29:05,040
Speaker 4: was reduced infant mortality, and so that fed into the

621
00:29:05,160 --> 00:29:08,480
Speaker 4: entire statistics. So once we brought into mortality down to

622
00:29:08,520 --> 00:29:11,960
Speaker 4: basically zero, I mean, very very low levels, that led

623
00:29:12,000 --> 00:29:14,760
Speaker 4: to much longer aggregate figures in terms of total lifetime

624
00:29:14,760 --> 00:29:17,880
Speaker 4: because people weren't dying in the first two years of life,

625
00:29:18,040 --> 00:29:20,600
Speaker 4: and you don't get that gain twice, right, And it's

626
00:29:20,600 --> 00:29:22,880
Speaker 4: a similar story to a lesser degree. With antibiotics, we

627
00:29:22,880 --> 00:29:25,360
Speaker 4: don't get that game twice. So then you're left with

628
00:29:25,520 --> 00:29:27,120
Speaker 4: what do we do at the end of life? Maybe

629
00:29:27,120 --> 00:29:29,080
Speaker 4: we just load people with peptides.

630
00:29:28,560 --> 00:29:30,440
Speaker 1: And hope I've remectin.

631
00:29:30,840 --> 00:29:32,720
Speaker 4: So that's it is that it's kind of a confusion

632
00:29:32,760 --> 00:29:36,160
Speaker 4: about where gains and mortality came from. That they mostly

633
00:29:36,200 --> 00:29:37,640
Speaker 4: came at the front end of the curve.

634
00:29:37,840 --> 00:29:40,720
Speaker 3: So we can we also make sure I also want

635
00:29:40,760 --> 00:29:44,560
Speaker 3: to talk about like things that actually work in ways

636
00:29:45,080 --> 00:29:50,000
Speaker 3: and exercise exercise regimens. One of the things I've noticed

637
00:29:50,120 --> 00:29:53,959
Speaker 3: as as I've gotten older is my exercise regiment has

638
00:29:54,080 --> 00:29:57,520
Speaker 3: changed from I used to just lift weights four days

639
00:29:57,520 --> 00:29:59,560
Speaker 3: a week and then run two days a week or

640
00:29:59,640 --> 00:30:01,960
Speaker 3: psych you know, cardio two days a week, live four

641
00:30:02,000 --> 00:30:05,680
Speaker 3: days a week, and I've migrated to still doing a

642
00:30:05,680 --> 00:30:11,000
Speaker 3: bunch of resistance training and weights, but adding in mobility work, and.

643
00:30:10,800 --> 00:30:11,880
Speaker 1: Uh, what's mobility work?

644
00:30:11,920 --> 00:30:13,840
Speaker 2: What's like flexibility mobility work?

645
00:30:13,880 --> 00:30:18,280
Speaker 3: Making sure you know coil squats, not just doing weighted

646
00:30:18,360 --> 00:30:21,360
Speaker 3: back squats or front squats, but like the coil Squad,

647
00:30:21,600 --> 00:30:24,680
Speaker 3: Dragon squats, single egg squad love the dragon squat.

648
00:30:25,000 --> 00:30:27,160
Speaker 2: Yeah.

649
00:30:28,800 --> 00:30:29,200
Speaker 1: Squad.

650
00:30:29,280 --> 00:30:30,880
Speaker 2: I mean, I'm not gonna get up and demonstrate it

651
00:30:30,920 --> 00:30:31,760
Speaker 2: right now, although.

652
00:30:31,520 --> 00:30:36,720
Speaker 3: I could imagine you're like, basically it's basically thoracic rotation

653
00:30:37,040 --> 00:30:39,560
Speaker 3: of your spine as you as you do a single

654
00:30:39,600 --> 00:30:43,560
Speaker 3: egg squat into it on YouTube channel. You can see

655
00:30:43,560 --> 00:30:47,560
Speaker 3: it all on my listen. Just subscribe to my only

656
00:30:47,600 --> 00:30:51,840
Speaker 3: fans Coil Squad account and you'll be fun No, but

657
00:30:52,280 --> 00:30:56,360
Speaker 3: so so it's I think there's you know, it's funny

658
00:30:56,360 --> 00:31:02,440
Speaker 3: as this former huge crossfitter guy from ten years ago

659
00:31:02,680 --> 00:31:05,200
Speaker 3: doing his you know, you see these fitness bros always

660
00:31:05,200 --> 00:31:07,040
Speaker 3: doing the age is just a number. I'm like, yeah,

661
00:31:07,080 --> 00:31:09,120
Speaker 3: wait till you get to sixty and it turns out

662
00:31:09,360 --> 00:31:11,560
Speaker 3: it's a little more than just a number. You know,

663
00:31:11,920 --> 00:31:14,239
Speaker 3: I'm still doing the my same amount of burpies and like,

664
00:31:15,000 --> 00:31:17,840
Speaker 3: you know, and just keep on doing that stuff and

665
00:31:17,960 --> 00:31:20,320
Speaker 3: or doing the one you know, I only go to pilates,

666
00:31:20,440 --> 00:31:22,480
Speaker 3: or I only go to soul cycle, or I only

667
00:31:22,520 --> 00:31:26,320
Speaker 3: go to berries. Like that constant, constant repetition of just

668
00:31:26,440 --> 00:31:29,120
Speaker 3: doing the same few things, even though it seems like no,

669
00:31:29,160 --> 00:31:30,400
Speaker 3: we do four or five different things.

670
00:31:30,400 --> 00:31:32,920
Speaker 2: In berries. You really have to vary.

671
00:31:32,920 --> 00:31:35,560
Speaker 3: Or should be varying your work out much much more

672
00:31:35,560 --> 00:31:38,160
Speaker 3: than that, or sooner or later you're gonna get injured.

673
00:31:38,240 --> 00:31:39,920
Speaker 1: Yeah, why is it? How do you get injured sooner

674
00:31:40,000 --> 00:31:41,480
Speaker 1: or later from doing the same thing over and over?

675
00:31:41,560 --> 00:31:45,320
Speaker 3: Isn't your body just you're activating the same muscles and

676
00:31:45,360 --> 00:31:48,480
Speaker 3: not activating other muscles. And you know, it's the same

677
00:31:48,560 --> 00:31:52,440
Speaker 3: thing as like go run on pavement, you know, for

678
00:31:53,160 --> 00:31:55,280
Speaker 3: every day for five years, and then go run in

679
00:31:55,280 --> 00:31:55,680
Speaker 3: the sand.

680
00:31:55,800 --> 00:31:58,280
Speaker 2: You're like, oh, wait a minute. Now, it's like I think, and.

681
00:31:58,280 --> 00:32:00,040
Speaker 4: It's like all your emotions are like in line. And

682
00:32:00,120 --> 00:32:02,320
Speaker 4: let's say you're always running or cycling and then suddenly

683
00:32:02,360 --> 00:32:04,360
Speaker 4: I have to jump sideways to do something. I'm a

684
00:32:04,440 --> 00:32:06,160
Speaker 4: good right tear doctor.

685
00:32:06,200 --> 00:32:10,640
Speaker 3: Do tons of tons, do tons of lateral lateral movement

686
00:32:10,680 --> 00:32:12,760
Speaker 3: work now, which is great for tennis. And if you

687
00:32:12,760 --> 00:32:14,480
Speaker 3: don't do that and you're just running, oh, I don't

688
00:32:14,520 --> 00:32:16,440
Speaker 3: know what happened. I'm in great cardio shape, and then

689
00:32:16,480 --> 00:32:18,760
Speaker 3: I went to play tennis and I tore my achilles. Yeah,

690
00:32:18,760 --> 00:32:21,640
Speaker 3: you're not doing any lateral movement work. So that kind

691
00:32:21,640 --> 00:32:23,760
Speaker 3: of mobility work. I'm doing a lot of reflex work

692
00:32:23,800 --> 00:32:26,520
Speaker 3: now just to keep my you know, hand eye coordination,

693
00:32:26,600 --> 00:32:28,880
Speaker 3: stuff like drop this town of ball, you know, catch

694
00:32:28,880 --> 00:32:30,520
Speaker 3: you at the other hand, all that stuff.

695
00:32:31,000 --> 00:32:32,640
Speaker 4: Nick, just look at all the stuff does.

696
00:32:33,000 --> 00:32:36,440
Speaker 1: Literally I'm looking at you and I'm like, the fuck

697
00:32:36,520 --> 00:32:40,280
Speaker 1: is he talking? Drop tennis?

698
00:32:40,480 --> 00:32:43,560
Speaker 2: Reaction work? It's I mean, it's.

699
00:32:43,480 --> 00:32:47,640
Speaker 3: Great, it's it's also scary when you haven't done reaction

700
00:32:47,720 --> 00:32:49,760
Speaker 3: work and reflex work, and then you do it for

701
00:32:49,800 --> 00:32:52,560
Speaker 3: the first few times and you realize, wait a minute,

702
00:32:52,560 --> 00:32:54,440
Speaker 3: I gotta do that again my left I didn't do

703
00:32:54,480 --> 00:32:56,200
Speaker 3: it right on my left hand that time. And then

704
00:32:56,200 --> 00:33:00,800
Speaker 3: you realize, oh, I'm naturally a lot slow or in

705
00:33:00,960 --> 00:33:04,160
Speaker 3: mental and physical reactions totally from my left side, then

706
00:33:04,160 --> 00:33:04,800
Speaker 3: my right side.

707
00:33:05,720 --> 00:33:07,280
Speaker 2: What it's crazy.

708
00:33:07,360 --> 00:33:09,400
Speaker 3: You're like, it's it's and then you know, you get

709
00:33:09,440 --> 00:33:11,640
Speaker 3: better and better and better. But if you don't do

710
00:33:11,680 --> 00:33:13,720
Speaker 3: any of that stuff, then you're eighty two years old

711
00:33:13,760 --> 00:33:15,400
Speaker 3: and you go down the stairs and your trip and

712
00:33:15,400 --> 00:33:17,760
Speaker 3: you like, why didn't I grasp Why I wasn't able

713
00:33:17,800 --> 00:33:20,040
Speaker 3: to grasp the handrail fast enough on my left hand?

714
00:33:20,320 --> 00:33:21,360
Speaker 4: Everything happened too fast?

715
00:33:21,440 --> 00:33:23,560
Speaker 1: Yeah, And then and then there's that statistic. I think

716
00:33:23,560 --> 00:33:26,360
Speaker 1: you told us that if you if you fall. What

717
00:33:26,560 --> 00:33:29,240
Speaker 1: eighty five or under eighty five you're dead essentially over

718
00:33:29,280 --> 00:33:31,720
Speaker 1: eighty but yeah, over eighty dip in the hospital, right,

719
00:33:31,760 --> 00:33:32,320
Speaker 1: you had to get in.

720
00:33:32,360 --> 00:33:32,680
Speaker 4: It's this.

721
00:33:32,840 --> 00:33:35,320
Speaker 3: Then you're in the Then you're in the death spiral of

722
00:33:35,480 --> 00:33:38,080
Speaker 3: literal death spiral of I'm in the hospital. I can't move,

723
00:33:39,240 --> 00:33:40,720
Speaker 3: my muscles are acting more.

724
00:33:40,800 --> 00:33:41,000
Speaker 2: You know.

725
00:33:41,160 --> 00:33:43,400
Speaker 4: Yeah, you get in this cascade of problems right when

726
00:33:43,400 --> 00:33:45,320
Speaker 4: suddenly it's not the fall that killed you. It'll be

727
00:33:45,360 --> 00:33:48,200
Speaker 4: some secondary infection like pneumonia or whatever else. Because your

728
00:33:48,240 --> 00:33:50,400
Speaker 4: system's activated to deal with one problem and it doesn't

729
00:33:50,440 --> 00:33:52,720
Speaker 4: have enough capacity to deal with two, and the second

730
00:33:52,760 --> 00:33:55,520
Speaker 4: one the second one gets here, right. That's the thing though,

731
00:33:55,520 --> 00:33:57,400
Speaker 4: I mean, in all this stuff, which is crazy, is

732
00:33:57,400 --> 00:34:00,800
Speaker 4: that people are so desperate to avoid doing things that work.

733
00:34:01,400 --> 00:34:02,800
Speaker 4: That's that's the part that I find. Really.

734
00:34:05,280 --> 00:34:07,680
Speaker 3: It's not like nobody wants to I'm going to go

735
00:34:07,720 --> 00:34:12,480
Speaker 3: into aquanox in my allo you know, gear and do

736
00:34:12,640 --> 00:34:15,200
Speaker 3: mobility work. Like, no, dude, I'm going to like go

737
00:34:15,239 --> 00:34:17,120
Speaker 3: in and bench two plates. You know, I'm going to

738
00:34:17,200 --> 00:34:20,080
Speaker 3: go in and do like military style strict pull ups.

739
00:34:20,120 --> 00:34:21,799
Speaker 3: You're not gonna go do mobility work.

740
00:34:23,000 --> 00:34:24,360
Speaker 1: I go and oil.

741
00:34:25,800 --> 00:34:28,880
Speaker 4: Coils on your YouTube, on your YouTube channel.

742
00:34:28,719 --> 00:34:30,840
Speaker 1: My YouTube channel, on my own fans. Wait, I have

743
00:34:30,880 --> 00:34:34,279
Speaker 1: a question, So if we so we've seen all these

744
00:34:34,320 --> 00:34:37,360
Speaker 1: technological advancements in every form of our life. It's robots

745
00:34:37,360 --> 00:34:39,600
Speaker 1: delivering food. I actually ordered food from a robot the

746
00:34:39,640 --> 00:34:43,400
Speaker 1: other day. It fell over. I had to rescue it. Literally,

747
00:34:43,440 --> 00:34:45,440
Speaker 1: it tipped. I was so excited that it was. I

748
00:34:45,480 --> 00:34:48,759
Speaker 1: was getting my first po like around the corner. I

749
00:34:48,800 --> 00:34:50,600
Speaker 1: was so excited. I was filming because I knew the

750
00:34:50,640 --> 00:34:51,520
Speaker 1: kids would want to see it.

751
00:34:51,840 --> 00:34:54,040
Speaker 2: And I was sitting there filming and take a fast turn.

752
00:34:54,560 --> 00:34:56,080
Speaker 1: Don't know what happened. It was on the side anymore,

753
00:34:56,120 --> 00:34:56,680
Speaker 1: it fell over.

754
00:34:56,800 --> 00:34:57,640
Speaker 4: It's one of those ways.

755
00:34:58,000 --> 00:34:59,319
Speaker 1: I have a photo I can show you. Guys.

756
00:34:59,440 --> 00:34:59,640
Speaker 4: It was.

757
00:35:00,040 --> 00:35:02,359
Speaker 2: You're going to be prosecuted for tipping the robot over.

758
00:35:02,440 --> 00:35:03,560
Speaker 4: I've heard about.

759
00:35:03,760 --> 00:35:05,560
Speaker 1: And I was sitting there and I'm waiting, and five

760
00:35:05,640 --> 00:35:07,520
Speaker 1: minutes goes by, and six and I'm like, what the

761
00:35:07,520 --> 00:35:09,799
Speaker 1: fuck is going on? And I walk over and there

762
00:35:09,840 --> 00:35:11,400
Speaker 1: it is. It's like on its side and it's like

763
00:35:11,480 --> 00:35:13,520
Speaker 1: help me, I can't get up. And I helped it

764
00:35:13,600 --> 00:35:15,279
Speaker 1: up and then it just and then I had to

765
00:35:15,360 --> 00:35:17,320
Speaker 1: walk back with it to my house because it wouldn't

766
00:35:17,320 --> 00:35:19,080
Speaker 1: give me the food on the street. I had to

767
00:35:19,400 --> 00:35:21,440
Speaker 1: follow it. So well, yeah, anyway, of.

768
00:35:21,440 --> 00:35:22,680
Speaker 2: Course it's not going to give you the food on

769
00:35:22,719 --> 00:35:23,680
Speaker 2: the street. You could be anybody.

770
00:35:23,719 --> 00:35:24,520
Speaker 4: Where are you going with this?

771
00:35:24,760 --> 00:35:28,000
Speaker 1: I'm just saying, so the driverless cards, there's robots that

772
00:35:28,040 --> 00:35:30,520
Speaker 1: can almost deliver our food. That we've got l ll ms.

773
00:35:30,520 --> 00:35:34,080
Speaker 1: We've got all these technologies and yet we haven't had

774
00:35:34,200 --> 00:35:39,680
Speaker 1: like a a new more mortality Texans.

775
00:35:39,719 --> 00:35:41,920
Speaker 3: Like, I'm saying, there are all these advances, and yet

776
00:35:41,960 --> 00:35:45,120
Speaker 3: in human health, what have you done for me lately?

777
00:35:45,320 --> 00:35:45,520
Speaker 5: Yeah?

778
00:35:45,800 --> 00:35:48,560
Speaker 1: But why why have there been no advance when there

779
00:35:49,760 --> 00:35:52,480
Speaker 1: But then okay, if there have, why are we not

780
00:35:52,560 --> 00:35:53,120
Speaker 1: living longer?

781
00:35:53,200 --> 00:35:56,400
Speaker 4: Well, because that's a different problem. So human mortality is

782
00:35:56,840 --> 00:35:59,400
Speaker 4: evolution came out. It didn't doesn't need us after we

783
00:35:59,560 --> 00:36:02,240
Speaker 4: after we have kids, right, So all of the problems

784
00:36:02,239 --> 00:36:04,480
Speaker 4: we're having right now are largely because they were never

785
00:36:04,520 --> 00:36:07,560
Speaker 4: selected against. Because by the time we reach the ages

786
00:36:07,600 --> 00:36:10,240
Speaker 4: that we have all of the diseases, heart diseases and cancer,

787
00:36:10,440 --> 00:36:11,480
Speaker 4: we were all dead by this.

788
00:36:11,600 --> 00:36:14,680
Speaker 3: Yeah, the kids are off and running around in the

789
00:36:14,680 --> 00:36:16,359
Speaker 3: forest and collecting barriers on their own.

790
00:36:16,440 --> 00:36:19,800
Speaker 4: You died at age forty five historic it didn't matter,

791
00:36:19,840 --> 00:36:22,480
Speaker 4: and so evolution never selected against those genes. So we're

792
00:36:22,520 --> 00:36:25,280
Speaker 4: the byproduct of that. We're carrying a whole bunch of things,

793
00:36:25,400 --> 00:36:27,279
Speaker 4: some of which were probably good for us whenever we

794
00:36:27,280 --> 00:36:30,359
Speaker 4: were younger, that are now maladaptive, that are now going

795
00:36:30,400 --> 00:36:33,000
Speaker 4: to cause these problems, and evolution doesn't care. So you're

796
00:36:33,040 --> 00:36:36,319
Speaker 4: fighting that force, which is just a really difficult force

797
00:36:36,360 --> 00:36:38,480
Speaker 4: to fight against that you shouldn't be alive.

798
00:36:38,680 --> 00:36:41,800
Speaker 1: And yet we have all these like the Brian Johnson's

799
00:36:41,840 --> 00:36:45,160
Speaker 1: of the world that believe that they can stop right right.

800
00:36:45,600 --> 00:36:47,439
Speaker 3: I mean, by the way, I'm taking the other side

801
00:36:47,440 --> 00:36:49,759
Speaker 3: of that, that lust one that they're not.

802
00:36:49,680 --> 00:36:53,879
Speaker 2: Going to be death there somewhere somewhere in there.

803
00:36:53,880 --> 00:36:57,640
Speaker 3: It's covering so there I might not be tomorrow, but

804
00:36:57,680 --> 00:37:00,879
Speaker 3: there's going to be a little death, yeah, at least one.

805
00:37:01,160 --> 00:37:02,880
Speaker 4: But that instinct and we've talked about this before, but

806
00:37:02,920 --> 00:37:05,640
Speaker 4: that instinct towards you know, whether it's the don't die

807
00:37:05,680 --> 00:37:09,680
Speaker 4: movement or the biology science will save us, or I'll

808
00:37:09,800 --> 00:37:13,480
Speaker 4: live forever through my legacy, this is you know, as

809
00:37:13,520 --> 00:37:16,000
Speaker 4: long as it's been modern humans three hundred thousand years plus,

810
00:37:16,080 --> 00:37:19,520
Speaker 4: that's instinct his existence. So it's no particular surprise that

811
00:37:19,520 --> 00:37:22,160
Speaker 4: that continues. And whether it's Brian Johnson or whoever else,

812
00:37:22,280 --> 00:37:25,320
Speaker 4: it's just what people refuse to recognize as the forces

813
00:37:25,360 --> 00:37:27,640
Speaker 4: they're fighting against, which is that we're at a point

814
00:37:27,640 --> 00:37:29,319
Speaker 4: now where most of the things we want to fight

815
00:37:29,360 --> 00:37:32,919
Speaker 4: against are things that evolution ever selected against. So it's

816
00:37:33,000 --> 00:37:34,520
Speaker 4: wired throughout us, and that's wh you're get into this

817
00:37:34,560 --> 00:37:38,240
Speaker 4: issue where people start doing things like it'll sell senescence treatments,

818
00:37:38,280 --> 00:37:40,160
Speaker 4: these idea that we can treat cells so they don't

819
00:37:40,239 --> 00:37:42,799
Speaker 4: die as quickly and then don't become a burden on

820
00:37:42,840 --> 00:37:46,160
Speaker 4: the body for more information that actually that has other problems,

821
00:37:46,320 --> 00:37:50,440
Speaker 4: So you're treatments increasingly have side effects that metigate against

822
00:37:50,480 --> 00:37:54,680
Speaker 4: them actually working because the system itself is our decrepitudes

823
00:37:54,760 --> 00:37:55,319
Speaker 4: kind of built in.

824
00:37:56,600 --> 00:37:58,360
Speaker 1: So what you're saying is we're just all going to die.

825
00:37:58,600 --> 00:37:59,640
Speaker 4: Yeah, I know that's a shocker.

826
00:37:59,680 --> 00:38:04,879
Speaker 1: But should we move on to our media of the week. Yes,

827
00:38:05,000 --> 00:38:09,120
Speaker 1: let's uh, Paul, you want to start.

828
00:38:09,160 --> 00:38:10,920
Speaker 4: Well, I was talking earlier about how I was saying

829
00:38:11,560 --> 00:38:13,200
Speaker 4: one of my I was thinking about this in the

830
00:38:13,200 --> 00:38:15,680
Speaker 4: context of Frankenstein and some of the monster movies that

831
00:38:15,680 --> 00:38:17,000
Speaker 4: are out right now that this is this idea of

832
00:38:17,040 --> 00:38:19,480
Speaker 4: increasingly looking at these from the standpoint of the monster.

833
00:38:19,520 --> 00:38:21,760
Speaker 4: And this has become a thing, as in my single

834
00:38:22,120 --> 00:38:25,800
Speaker 4: favorite book of that kind, which I just finished rereading recently,

835
00:38:25,880 --> 00:38:30,640
Speaker 4: is John Gardner's Grendel, which is I guess, kind of

836
00:38:30,680 --> 00:38:33,080
Speaker 4: the og of those sorts of books in that it

837
00:38:33,120 --> 00:38:36,840
Speaker 4: took the perspective of the monster intell retelling the story

838
00:38:36,840 --> 00:38:39,280
Speaker 4: of Baiowulf from the standpoint of Grendel.

839
00:38:39,520 --> 00:38:41,120
Speaker 1: I haven't read it well.

840
00:38:41,200 --> 00:38:44,560
Speaker 4: Gardner is an absolutely tremendous writer, So just from this

841
00:38:44,719 --> 00:38:47,319
Speaker 4: pure standpoint of writerly craft, he's up there for me

842
00:38:47,360 --> 00:38:50,319
Speaker 4: with Carmick McCarthy, like he is generally one of the

843
00:38:51,200 --> 00:38:54,200
Speaker 4: greatest writers in English language. What I like about Grendel

844
00:38:54,360 --> 00:38:57,760
Speaker 4: is that it's not just this, hey, here's a fresh perspective.

845
00:38:57,760 --> 00:38:59,080
Speaker 4: I'm going to look at it from the standpoint of

846
00:38:59,120 --> 00:39:02,120
Speaker 4: the monster. Is the monster becomes so much more interesting

847
00:39:02,400 --> 00:39:04,879
Speaker 4: than any of the main characters, well then Beowulf, who's

848
00:39:04,880 --> 00:39:06,760
Speaker 4: not particularly interesting in the first place, but then anyone

849
00:39:06,800 --> 00:39:09,120
Speaker 4: else in it. And he's not just sympathetic and did

850
00:39:09,120 --> 00:39:11,239
Speaker 4: he write it, do you know? Fifty eight?

851
00:39:11,480 --> 00:39:11,640
Speaker 5: Yeah?

852
00:39:11,680 --> 00:39:15,279
Speaker 3: And this is literally the og villain origin story, right

853
00:39:15,520 --> 00:39:18,880
Speaker 3: I'm gonna do this take from the perspective of the monster.

854
00:39:19,040 --> 00:39:19,480
Speaker 4: The monster.

855
00:39:19,600 --> 00:39:22,600
Speaker 2: It's it's the first kind of way before the movies.

856
00:39:22,600 --> 00:39:25,520
Speaker 2: We're doing this. It's the og villain origin story. When

857
00:39:25,640 --> 00:39:26,879
Speaker 2: I read it, don't worry about it.

858
00:39:28,080 --> 00:39:30,200
Speaker 4: Way before like Wicked and all these That's that's not

859
00:39:30,320 --> 00:39:32,520
Speaker 4: quite interesting. Is all of this stuff has now become like,

860
00:39:32,560 --> 00:39:35,920
Speaker 4: if you think about it, people mining IP. Your industry

861
00:39:35,960 --> 00:39:40,000
Speaker 4: mining IP to get create news that actually gardeners Now.

862
00:39:39,880 --> 00:39:41,839
Speaker 1: It's my industry. Like I'm I'm the one.

863
00:39:41,960 --> 00:39:45,000
Speaker 2: You are, You're the representative in our local rep.

864
00:39:45,200 --> 00:39:47,240
Speaker 1: Your guys industries are way worse than mine.

865
00:39:47,800 --> 00:39:48,680
Speaker 4: Is this the we're on it?

866
00:39:48,800 --> 00:39:48,880
Speaker 5: Now?

867
00:39:48,880 --> 00:39:53,640
Speaker 4: Whose industry is the worst? This is the bottom? All right?

868
00:39:53,640 --> 00:39:55,600
Speaker 4: It's all bad? So that's what That's what I like

869
00:39:55,680 --> 00:39:57,360
Speaker 4: is it was an the Og versus that is a

870
00:39:57,360 --> 00:39:59,960
Speaker 4: wonderful writer. And the strangest thing about it all for

871
00:40:00,160 --> 00:40:02,640
Speaker 4: me is it is completely neglected. It's like you literally

872
00:40:02,680 --> 00:40:03,680
Speaker 4: bring it up in people who.

873
00:40:04,360 --> 00:40:06,840
Speaker 1: I've read a million books. I haven't read it. So

874
00:40:07,000 --> 00:40:08,759
Speaker 1: there you go, boom read it.

875
00:40:09,200 --> 00:40:12,760
Speaker 3: What do you got a mine? Is Ford maddox Ford's

876
00:40:12,760 --> 00:40:17,759
Speaker 3: The Good Soldier. It might be the saddest book ever.

877
00:40:18,000 --> 00:40:22,640
Speaker 3: But it's basically, you know, short story, short about two couples.

878
00:40:22,640 --> 00:40:24,880
Speaker 3: From the perspective of the narrator.

879
00:40:25,120 --> 00:40:26,560
Speaker 2: Was one of the men and one of the couples

880
00:40:26,640 --> 00:40:28,640
Speaker 2: John Dowell, I think his first name is John. His

881
00:40:28,760 --> 00:40:29,640
Speaker 2: name is Dowe Dell.

882
00:40:30,160 --> 00:40:36,560
Speaker 3: And hidden vulnerabilities and affairs are revealed, resulting in madness

883
00:40:36,560 --> 00:40:40,759
Speaker 3: and despair and suicide. Yeah soon with a big with

884
00:40:40,840 --> 00:40:42,160
Speaker 3: a big closing number.

885
00:40:42,200 --> 00:40:44,160
Speaker 4: And it's but it's it's a wonderful book. One of

886
00:40:44,200 --> 00:40:46,239
Speaker 4: the things fantastic that I love about that book, and

887
00:40:46,280 --> 00:40:48,040
Speaker 4: I love it about Ford Maddix Ford in general, is

888
00:40:48,040 --> 00:40:50,239
Speaker 4: that he again this is the og stuff. He was

889
00:40:50,320 --> 00:40:53,719
Speaker 4: kind of the o g unreliable narrator guy. Everything you

890
00:40:53,880 --> 00:40:57,720
Speaker 4: learn seems completely straightforward and trustworthy. But it becomes clear

891
00:40:57,960 --> 00:41:01,319
Speaker 4: that without no spoilers that lots of is completely unreliable.

892
00:41:01,360 --> 00:41:03,640
Speaker 4: That's right, but told in a way that seems completely

893
00:41:03,640 --> 00:41:05,719
Speaker 4: accurate and true. And so this this idea of this

894
00:41:05,840 --> 00:41:08,600
Speaker 4: rug pull of I don't actually know any more what

895
00:41:08,640 --> 00:41:10,360
Speaker 4: the truth is in this story. And that's which is

896
00:41:10,360 --> 00:41:13,400
Speaker 4: true and almost in any sort of greed a couple's relationships.

897
00:41:13,440 --> 00:41:17,160
Speaker 2: Also great name Ford, Maddox Ford, love that name.

898
00:41:17,400 --> 00:41:19,640
Speaker 4: Yeah, it sounds like something from The Hitchhiker's Guide to

899
00:41:19,680 --> 00:41:20,160
Speaker 4: the Galaxy.

900
00:41:20,200 --> 00:41:22,879
Speaker 3: Yeah, or it's just a really cool name. I think

901
00:41:22,880 --> 00:41:25,000
Speaker 3: if your name is Ford Madox Ford, you get to

902
00:41:25,040 --> 00:41:25,680
Speaker 3: do whatever you want.

903
00:41:25,800 --> 00:41:30,319
Speaker 4: Or you should do car commercials. Yeah, part Maddox Sword

904
00:41:30,360 --> 00:41:32,040
Speaker 4: here with the latest to.

905
00:41:32,080 --> 00:41:35,040
Speaker 3: Ford Ford Manx words for it doesn't work really, there's

906
00:41:35,080 --> 00:41:37,440
Speaker 3: too many for it. There's a third Ford. It's got

907
00:41:37,480 --> 00:41:39,680
Speaker 3: to be Ford Maddox Sports Chevrolet Dealership.

908
00:41:41,520 --> 00:41:46,680
Speaker 1: Which mine is. I just read Jordan Harper's she writes Shotgun.

909
00:41:47,160 --> 00:41:49,359
Speaker 1: It's not it's just a it's like a modern book.

910
00:41:49,480 --> 00:41:52,040
Speaker 1: It's like a good it's just a really fun they're

911
00:41:52,080 --> 00:41:53,520
Speaker 1: making it into a movie right now.

912
00:41:53,840 --> 00:41:55,440
Speaker 2: Of course it reads like a movie.

913
00:41:55,480 --> 00:41:56,279
Speaker 1: It reads like a movie.

914
00:41:56,320 --> 00:41:58,840
Speaker 4: It's uh, it's the genre or whatever.

915
00:41:59,520 --> 00:42:00,520
Speaker 1: How would you just have this genre?

916
00:42:00,600 --> 00:42:00,759
Speaker 2: Is it?

917
00:42:00,800 --> 00:42:03,319
Speaker 1: Like it's kind of like an el Roy kind of

918
00:42:06,440 --> 00:42:11,360
Speaker 1: but it's very cinematic and uh, I just read it

919
00:42:11,400 --> 00:42:11,839
Speaker 1: in like a.

920
00:42:12,400 --> 00:42:16,200
Speaker 2: Very cinematic like a like a Elmore Leonard book kind of.

921
00:42:16,360 --> 00:42:22,359
Speaker 1: Yeah, it's set where set in l A remember, Yeah,

922
00:42:22,360 --> 00:42:24,120
Speaker 1: it's set in La Korea town and something like that.

923
00:42:24,160 --> 00:42:26,319
Speaker 1: It's a it's a really fun I can see. It's gonna.

924
00:42:26,400 --> 00:42:29,319
Speaker 1: I think it'll be a great movie. But it's just

925
00:42:29,360 --> 00:42:33,440
Speaker 1: a fun page turner and these characters and you're and

926
00:42:33,520 --> 00:42:36,120
Speaker 1: you're kind of rooting for this right for them, for

927
00:42:36,160 --> 00:42:38,680
Speaker 1: this girl to you know, I can't. I don't want

928
00:42:38,680 --> 00:42:40,080
Speaker 1: to give it away. It's a really good you'll like it,

929
00:42:40,120 --> 00:42:43,160
Speaker 1: I think, oh you'll hate it, probably actually, so I

930
00:42:43,200 --> 00:42:43,520
Speaker 1: hate it.

931
00:42:43,840 --> 00:42:45,520
Speaker 4: I hate uh, maybe you like it.

932
00:42:45,560 --> 00:42:45,880
Speaker 1: I don't know.

933
00:42:45,960 --> 00:42:48,920
Speaker 4: I love so. I'm it's a little pulpy, yeah, no,

934
00:42:49,000 --> 00:42:54,120
Speaker 4: but I love Elmore Lemard Leonard l Roy, uh dashal Hammett.

935
00:42:54,800 --> 00:42:57,480
Speaker 1: I tried to read, uh, that Raymond Chandler book that

936
00:42:57,520 --> 00:43:00,920
Speaker 1: you recommended, little sister. I did not like it.

937
00:43:00,960 --> 00:43:04,520
Speaker 2: Come on, not like god, oh god, it was something

938
00:43:04,560 --> 00:43:05,120
Speaker 2: wrong with you.

939
00:43:05,600 --> 00:43:11,520
Speaker 1: So painful, no taste. All right, all right, that's a wrap.