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Speaker 1: Welcome to the Nick, Dick and Paul Show.

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Speaker 2: I just want to introduce the show one time. All right,

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Speaker 2: all right, welcome to the Nick, Dick and Paul Show.

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Speaker 2: I'm Dick Costello.

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Speaker 1: My next Oh I'm Nick Bilton and you got to

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Speaker 1: keep going.

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Speaker 2: No, I'm kicking it back to you. I will.

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Speaker 3: He's an opening act. Yeah, the who gets the crowd wrapped.

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Speaker 2: Up come out? Yeah, well I prefer.

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Speaker 1: Is there a term in like improv comedy for the

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Speaker 1: person who gets the crowd going just the m C.

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Speaker 2: Yeah, the MC. It's not like a EM there's the

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Speaker 2: guy that comes out and goes you So, where are

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Speaker 2: you from? I'm from POUGHKEEPSIEPSI. It's hilarious. Everyone's like, can't

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Speaker 2: wait for them to come out.

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Speaker 1: All right, We're gonna talk to talk about something today

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Speaker 1: that affects everyone. It is not data centers.

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Speaker 3: Oh god, that's my other podcast.

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Speaker 1: We are going to talk about Americans living longer than ever, which.

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Speaker 3: Is probably bad news for the rest of the world

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Speaker 3: because it probably pisses people off. Oh crap, Americans are

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Speaker 3: going to be around e the longer.

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Speaker 1: Well to everyone that's going to be arounding the longer.

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Speaker 2: I just want to ask even right away the question

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Speaker 2: I thought I'd been seeing all these charts and graphs

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Speaker 2: that show the life expectancy of Americans is actually the

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Speaker 2: only only one of the only developed countries where it's

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Speaker 2: not growing.

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Speaker 3: There hadn't been until recently.

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Speaker 2: Okay, it's now back on the rock. We got we're recovered.

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Speaker 1: It wasn't part of that, and I literally this was

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Speaker 1: a CDC study. Yeah, but it wasn't part of that

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Speaker 1: that we were so many people were dining from fentanol

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Speaker 1: and that was.

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Speaker 3: There was that whole right, No, that's totally true.

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Speaker 2: Once again, the drug addicts ruining, ruining it for everyone.

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Speaker 3: Right, we had good statistics and then boom, all coming

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Speaker 3: from to.

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Speaker 2: I didn't know that was just there were that many

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Speaker 2: people dying that it brought the average oun.

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Speaker 3: Yeah, so if you adjusted the data, I remember seeing

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Speaker 3: this somewhere that if you said that once you reached

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Speaker 3: the age of like forty five, American mortality was the

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Speaker 3: same as everywhere else in North the world. So there

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Speaker 3: was that death bulge between.

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Speaker 1: You know that the number one cause of death among

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Speaker 1: teenagers in the United States now is fentanyl, and the

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Speaker 1: number one place that they get it is social media.

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Speaker 2: Fentanyl and social media.

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Speaker 1: Yep, Snapchat is a big place. Uh the you know,

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Speaker 1: Evan Spiegel was forced to go and speak before Congress

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Speaker 1: about it. But it's yeah, you.

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Speaker 2: How do you get fentanyl on social media?

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Speaker 1: Because people they're dming.

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Speaker 2: Thinks have changed since I was running one of those companies.

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Speaker 1: You couldn't buy fentanyl on Twitter. No, isn't it crazy?

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Speaker 1: The number one fantastic Twitter.

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Speaker 3: It actually just changed.

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Speaker 2: If you tried to, If you tried to, eight people

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Speaker 2: yelled at you and said you were an idiot.

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Speaker 3: You're trying to self fentanyl?

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Speaker 2: Yeah, anything anything that.

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Speaker 1: Well, they said you were an idiot for anything on time?

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Speaker 2: Correct, Yes, you guys said went right past you anyway,

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Speaker 2: I was too busy.

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Speaker 1: But you just said I had read just this week

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Speaker 1: that that that that's what death.

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Speaker 3: No, just just changed like in the last six months,

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Speaker 3: I saw something saying that it's now. I mean it's

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Speaker 3: something equally horrendous, like like I don't remember it roadblocks, roadblocks, suicide,

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Speaker 3: but it just it had just moved down one or

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Speaker 3: two rankings.

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Speaker 1: What what our guns back up? Is it dry? It's

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Speaker 1: not driving because the drives anymore. They take ubers.

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Speaker 3: I think it's I don't remember. I just remember that

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Speaker 3: it had fallen into the two or three spot, which,

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Speaker 3: of course, you know, from a political standpoint, everyone wants

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Speaker 3: to take credit for because you know, we've of course

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Speaker 3: built giant ice walls around the country and everyone's re

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Speaker 3: enacting the wild.

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Speaker 2: So so people, actually Americans are living are now you're saying,

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Speaker 2: you're telling me Americans are living longer than ever.

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Speaker 3: That's the that was the study, and it's said for

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Speaker 3: the first time Americans. Not only is it as the

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Speaker 3: I think lives aren't getting shorter, but they're actually they're

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Speaker 3: getting longer, and they're actually reapproaching the peers in Western

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Speaker 3: Europe and everything else, which is really super surprising because

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Speaker 3: two things.

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Speaker 2: One right, defense, I love that you just said, by

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Speaker 2: the way, not only are lives not getting shorter. I

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Speaker 2: was like, wow, that's an interesting way of framing it.

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Speaker 2: And then I was like, wait, that's the same thing

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Speaker 2: saying people are living longer than ever, paid but it's

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Speaker 2: a much more intellectual way of saying it's true.

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Speaker 3: It's we're going to start using that that not getting shorter,

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Speaker 3: they're getting taller.

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Speaker 2: Not only did I not eat an unhealthy breakfast.

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Speaker 1: Do you know, do you know one thing that's crazy

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Speaker 1: in the study that we would that we that you

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Speaker 1: sent around, that suicide replaced COVID as the tenth most

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Speaker 1: leading cause of death in the United States because people

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Speaker 1: are so lonely and sad because of the Internet.

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Speaker 3: It's just because of the Internet.

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Speaker 1: I think it's a lot of the Internet.

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Speaker 3: I think it's a huge factor. No, it's great that

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Speaker 3: the problems of suicide is crazy. It's just really disturbing

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Speaker 3: how high in ranks, especially at younger I think I

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Speaker 3: was just going to.

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Speaker 2: Say in what's the age?

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Speaker 1: Yeah, remarkable, Yeah, oh yeah, I am all right. Well,

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Speaker 1: let's get back to the to the to the There's

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Speaker 1: so many things for us to discuss here. We want

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Speaker 1: to talk about, you know, why people want to live

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Speaker 1: longer because there's all the drugs and things that they're doing,

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Speaker 1: the caretaker crisis, the pharmaceutical paradox, the uh.

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Speaker 2: The thing that's remarkable and actually has been for quite

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Speaker 2: some time, but it will now be getting a lot

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Speaker 2: worse with Americans living longer than ever is this country

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Speaker 2: has refused to do anything about social security for decades.

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Speaker 2: I mean, it's not a recent political problem. It's a

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Speaker 2: long standing. When I believe this is I believe this

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Speaker 2: is right. When Social Security was created, there were something

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Speaker 2: like fifty workers in the workforce for every one retired person.

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Speaker 2: So great, we can a bunch of us, are, you know,

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Speaker 2: contributing to the one person we need to keep around

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Speaker 2: for the next And by the way, the average life

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Speaker 2: fisk spectency obviously was a lot long shorter, so you

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Speaker 2: would retire and then you know, the golden years were

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Speaker 2: a good three to four years and then you were off.

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Speaker 2: And now this is not big golden Now it was

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Speaker 2: gold dish, it was bronze. And now there is something

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Speaker 2: like three two to three workers for every retired person

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Speaker 2: who's getting so security and living a lot longer, and

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Speaker 2: that's obviously going to keep declining. So the brick wall,

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Speaker 2: I feel like we ran into the Social security brick

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Speaker 2: wall a ways back down the road and still refuse

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Speaker 2: to do anything about it or even like acknowledge it.

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Speaker 2: It's the weirdest thing.

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Speaker 3: And it's it's and as you say, it's only getting worse,

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Speaker 3: right because demographics an age society worse dependency ratios.

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Speaker 1: And also correct me if I'm wrong, But as more

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Speaker 1: AI replaces more workers and there's less people making a living.

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Speaker 1: Where's that additional income coming from?

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Speaker 2: Boy or the chatbot is going to be upset when

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Speaker 2: they find out what they have to pay into its right.

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Speaker 3: This this, I got this smart for this, go to

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Speaker 3: this guy.

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Speaker 1: But that's been going. But how does that end?

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Speaker 2: Does it?

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Speaker 1: Does it just explode? Do we get to the end

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Speaker 1: of it? And they and it's just this, there's nothing

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Speaker 1: left at the bottom of the well, And well.

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Speaker 3: There's nothing. There's been nothing left at the bottom of

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Speaker 3: the well for a long time. It's been it hasn't

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Speaker 3: even barely been a pay as you go basis, right,

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Speaker 3: it's been as a pay and build the deficit basis.

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Speaker 3: But that's the way, that's the way the US does

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Speaker 3: things and wait for a cris season then finds a

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Speaker 3: bad solution.

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Speaker 1: One of the things I find so fascinating about a

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Speaker 1: topic like this is that there are so many unintended

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Speaker 1: consequences that you just have, like living longer. There's the

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Speaker 1: food problem, there's the housing problem. I mean, one of

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Speaker 1: the things you see in LA is that there is

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Speaker 1: you know, there will somebody real estate broke and told

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Speaker 1: me that there will never be a single family home

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Speaker 1: built in La again on a new plot of land,

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Speaker 1: will just never happen. It never gets approved because they're

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Speaker 1: only going to approve multi family and apartments and so

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Speaker 1: on and so forth. And yet people live longer and

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Speaker 1: so they're not selling their homes.

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Speaker 2: I think young people are going to start walking into

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Speaker 2: restaurants when they see a ninety year old and go,

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Speaker 2: that is so rude. You know, they're just gonna glare

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Speaker 2: at them.

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Speaker 1: Do you think you are all, yeah, living fork and

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Speaker 1: stab yourself now that's funny. No, But they but then

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Speaker 1: they their houses don't sell because, you know, and.

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Speaker 3: They're also because there's so mispriced because they're predicated one

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Speaker 3: another bulge of babies coming along and that hasn't happened, and.

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Speaker 1: So the unintended consequences are just fascinating. And it's like

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Speaker 1: also food supplies where you know, like where does all

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Speaker 1: that come from? Where to? How do we medical?

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Speaker 3: Medical is the biggie right, Yeah, I mean I don't

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Speaker 3: know what's the medicals? You're what you have like a

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Speaker 3: guild based medical plan or something like that, theil.

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Speaker 2: Based some writers guilt. I'm in a writer's guild based

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Speaker 2: medical plan. The Lord of the rings. That's what I'm

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Speaker 2: on the Elvin Plan, aren't you though?

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Speaker 3: Like something to do with that.

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Speaker 1: I'm on that. I'm part of the w g A and.

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Speaker 2: I'm in the bomb part.

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Speaker 3: Well, here's something references.

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Speaker 1: There's a thing in Hollywood where the Writers Guild and

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Speaker 1: the Actors Guild and the directors they all have incredible healthcare,

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Speaker 1: the best healthcare I've ever had. And I was in

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Speaker 1: the Union of the New York Times, and that healthcare

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Speaker 1: was like paled in comparison to the w g A.

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Speaker 1: And you you don't pay much, pay one hundred and

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Speaker 1: fifty dollars a month, and you get your whole family,

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Speaker 1: and you have to earn a certain amount per year

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Speaker 1: to be on it.

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Speaker 3: So many credits or whatever.

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Speaker 1: Yeah, you get credits and and and so on, and but.

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Speaker 3: My question is does that do when? Does that end?

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Speaker 3: At a certain age?

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Speaker 1: It? Well, what happens is if you don't work.

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Speaker 2: What happens if you don't win an Oscar? Yeah, time

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Speaker 2: you're out.

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Speaker 3: No, But but at sixty five do you have to

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Speaker 3: transition off it?

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Speaker 1: You can, you transition and there's a there's a retired

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Speaker 1: version of it. But if you don't work for a year,

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Speaker 1: you could you lose your health care.

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Speaker 3: You lose it completely.

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Speaker 1: You lose it completely until you work again and then

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Speaker 1: and then you get it back. You can get credits,

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Speaker 1: but you can only get credits for the last couple

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Speaker 1: of years. But there's a big discussion right now because

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Speaker 1: there are people who are in the guild who are

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Speaker 1: since retired, who are living longer. Right there are less

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Speaker 1: people working in who are getting paid in the guilds.

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Speaker 2: Described Yeah, literally the same proble problem and we'll come

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Speaker 2: to its tragic conclusion, and they'll try to push it

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Speaker 2: off and push it off as long as possible. But

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Speaker 2: the Writer's Guild of the Writer's Guild can't print money.

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Speaker 3: I was going to say the lack of feature that

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Speaker 3: the US government, Yeah, yeah, control over the monetary systea right.

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Speaker 1: No, but it's you know, I so, where is it supposed.

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Speaker 3: To be self sustaining from the dues of these hundred dollars?

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Speaker 1: We're supposed to be self sustaining possibly work correct and so,

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Speaker 1: And there's also a retirement plan where a lot of

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Speaker 1: people you get your retirement based on how much is

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Speaker 1: paid in and so they have money that's invested.

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Speaker 3: But do they publish figures.

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Speaker 1: Yeah, they publish them.

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Speaker 3: Yeah, have you seen them?

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Speaker 1: I looked at them a few years ago and I

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Speaker 1: got really angry because I saw how much they waste

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Speaker 1: on the building and paying people to do this, that

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Speaker 1: and the other. And it's like, of course, it's just

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Speaker 1: a complete it's so insane. How much money is the

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Speaker 1: purpose of this endowment or whatever it is, is to

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Speaker 1: pay for health care and retirement?

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Speaker 3: Is that the idea?

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Speaker 1: I think the purpose is to pay the people that

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Speaker 1: run the guild. But the secondary effect is incidentally, incidentally,

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Speaker 1: is to provide to ensure that people who work in

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Speaker 1: the Writer's Guild get paid a certain amount and for

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Speaker 1: the projects they do, to ensure that they get healthcare,

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Speaker 1: and to ensure that they get a pension. But you know,

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Speaker 1: there's a limit to what the pension can be.

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Speaker 3: And well, especially when you get into this dependency thing

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Speaker 3: where so there's fewer and fewer writers paying for more

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Speaker 3: and more retired.

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Speaker 1: But that's one that's one guilt, you know, take the

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Speaker 1: newspaper guilds, take the un It's all no, no, it's true.

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Speaker 3: Everywhere. This is the thing, as Dick was saying, I

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Speaker 3: mean this, this ratio is was is was good and

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Speaker 3: it is now bad and getting worse.

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Speaker 1: So what happens just like do they just disappear?

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Speaker 3: What?

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Speaker 2: So then you're going to start walking into a restaurant.

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Speaker 2: You're just see an old writer and you're going to go.

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Speaker 1: So you're you're out.

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Speaker 3: But that's why you're going to see And I mean

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Speaker 3: this is a topic front of the day, but why

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Speaker 3: you're seeing for the first time. In the US, I

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Speaker 3: think some really useful conversations about how you would reform

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Speaker 3: healthcare if completely reform it. Not this business of like

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Speaker 3: you can buy policies on exchanges or whatever else. But

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Speaker 3: you're there's this talk right now of what's it called

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Speaker 3: catastrophic coverage. So the idea is you were responsible kind

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Speaker 3: of like what you have with homes and everything else.

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Speaker 3: I don't have someone, I don't use my insurance to

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Speaker 3: pay to clean the windows.

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Speaker 1: I pay.

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Speaker 3: I pay in to a policy, but it only covers

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Speaker 3: like major incidents. And the idea is that you would

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Speaker 3: do the same thing with healthcare and you would have

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Speaker 3: only catastrophic coverage.

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Speaker 2: Right, here's my idea. So Canada has this assistant to

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Speaker 2: assisted use. In Asia, it's called assisted suicide y assistant suicide.

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Speaker 2: They actually have an acronym for it called made which

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Speaker 2: it's called medical assistance in dying, which I think it's like,

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Speaker 2: who decided, you know, we should have a fun acronym

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Speaker 2: for assisted suicide? Why was that even a thing? Anyway,

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Speaker 2: they did it? Okay, So here's my idea. We have

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Speaker 2: assisted suicide, but you don't have to tell the person

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Speaker 2: you're assisting that.

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Speaker 3: I used to call that manslaughter.

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Speaker 1: It's called murder.

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Speaker 3: I get it though. It's got a model.

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Speaker 2: Yeah. Instead of I'm going to put you out of

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Speaker 2: your misery, I'm going to put you out of our misery.

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Speaker 3: It's magnanimous.

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Speaker 1: Nick walks into a restaurant and says to a writer,

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Speaker 1: you just come with me for men. I want to

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Speaker 1: show you a little tube that you're going to sit in.

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Speaker 4: Anyway, A good point, though, this is the suicide thing

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Speaker 4: I think is really interesting.

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Speaker 2: I do.

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Speaker 1: I think I think that people should be able to

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Speaker 1: kill themselves as they want to. Why does some why

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Speaker 1: does the government get to say you can't?

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Speaker 3: Well, the argument is that you're not necessarily in a

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Speaker 3: position where you or your family are particularly rational, and

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Speaker 3: so I don't use the decision and.

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Speaker 2: Half the time it's or I don't know what percent

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Speaker 2: of the time, But wasn't that the whole issue with

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Speaker 2: Kavorkian was it like, wait, how many of these are

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Speaker 2: people that really wanted to go and how many were

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Speaker 2: like Kavorkian hasn't been in the news for a few months,

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Speaker 2: a few time to turn turn. I got.

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Speaker 1: Also, parts of the working was fucking creepy.

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Speaker 3: Look, I got a crack up business development here with

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Speaker 3: a few putting a few of them.

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Speaker 1: And you've seen the new pods that they're doing. There

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Speaker 1: is now a couple's pod. So there's the pods assistant

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Speaker 1: suicide or something like that. There assistant suicide pads and

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Speaker 1: they put them. It's very strange. They put them out

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Speaker 1: in the forest and uh, and you go, I'm not

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Speaker 1: making it up. I'm telling you it's true. And they

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Speaker 1: or maybe they're in a building whatever, anyway, you sign

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Speaker 1: the bunch.

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Speaker 2: It's very Scandinavian.

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Speaker 1: It's very Scandinavian. And they probably Scandinavian. It didn't Scanae.

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Speaker 1: And and they they love suicide.

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Speaker 2: The forests.

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Speaker 3: Well established.

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Speaker 2: Man, they haven't met a suite like.

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Speaker 3: Tomorrow.

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Speaker 1: I may have to myself, but they have You go

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Speaker 1: in and you sit there and you press a button

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Speaker 1: and uh, it's like a tube. It looks almost like

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Speaker 1: a it looks like a weird space thing from like

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Speaker 1: from Star Trek or something. It's and it's over your

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Speaker 1: whole body and you press the button and then you die.

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Speaker 1: I think from some.

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Speaker 2: Or anything.

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Speaker 3: It's like no country for old men. Just actually, you're done.

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Speaker 1: Anyway, they're talking about doing couples, like couples therapy.

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Speaker 2: Couples, dooded lord. Actually, so to be serious for a second,

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Speaker 2: are there are there non European countries where assisted suicide

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Speaker 2: is a thing?

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Speaker 1: Canada? In America now right.

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Speaker 3: Six states I think In the US no California, Oregon,

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Speaker 3: but the the legal hurdles to get to California is

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Speaker 3: a good example in California. If you want medicalisms in dying,

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Speaker 3: the equivalent of you have to be within a doctor

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Speaker 3: has to say, I think it's six months. You have

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Speaker 3: to be within six months, which is you know, we're

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Speaker 3: kind of in the endgame of the chess match. Anyways,

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Speaker 3: I mean, this is this doesn't seem like it. I

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Speaker 3: mean I get it, and I think it's a it's

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Speaker 3: better than the alternative servant, but it's as people. We

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Speaker 3: treat dogs better, but.

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Speaker 2: Those well, we do.

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Speaker 1: And and there was also such a story recently about

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Speaker 1: a woman who had severe manic depression and couldn't you know,

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Speaker 1: which is of course leads to a lot of suicides

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Speaker 1: and have tried everything and just was like, I can't

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Speaker 1: live like this anymore. And that became a big discussion

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Speaker 1: of whether that accounts for a reason to commit suicide.

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Speaker 3: And it's not in the US, it's not in Canada.

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Speaker 3: It is correct, So you you that distinction is a

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Speaker 3: US only phenomenon, and it's really it's kind of it's

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Speaker 3: unfortunate in many ways, but you know, we dominate the

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Speaker 3: earth in terms of lawyers per capita. You can see

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Speaker 3: the problem, right. We'd much rather have a few false

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Speaker 3: negatives than any false positives in terms of having people

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Speaker 3: off themselves. And so that's where you end up.

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Speaker 1: Well, but but just to go back to real quick,

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Speaker 1: to the to the the living longer and the suicide

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Speaker 1: and so on and so forth. The thing that's so

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Speaker 1: fascinating is it isn't there is an economical distinction between

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Speaker 1: who gets to live longer and who doesn't, you know,

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Speaker 1: like if you live in the in West Virginia, for example,

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Speaker 1: you have the life of expectancy of someone who lives

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Speaker 1: in Bangladesh, but if you live in Manhattan, you could know.

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Speaker 1: It's a huge and that's driving all of this.

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Speaker 3: It's certainly making the numbers very strange in the US. Right,

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Speaker 3: So not only do you have to get past age

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Speaker 3: forty and not be off from fentanyl, you have to

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Speaker 3: also be lucky enough to be in a relatively high

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Speaker 3: socioeconomic group and not living in one of these locations

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Speaker 3: in the US where there's higher and earlier mortality. I mean,

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Speaker 3: it's crazy when you compare it to other countries, and

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Speaker 3: it's just completely different for that reason. And the other

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Speaker 3: one isn't I thought.

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Speaker 2: We were in other countries are less of a disparity

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Speaker 2: because expectancy based on socioeconomics much different.

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Speaker 3: It's much flatter distributions. You don't see the same thing.

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Speaker 3: In part the medical system will argue is because they

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Speaker 3: have socialized medicine, but I don't really I don't really

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Speaker 3: believe that it's not as clear that that's the case.

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Speaker 3: I think it's interesting case just straight up income based

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Speaker 3: that people.

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Speaker 2: Which would lead you to say, what's the derivative consequence

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Speaker 2: of that food supply, like you're eating.

401
00:19:14,119 --> 00:19:16,199
Speaker 3: Better, less food stress. I don't have four jobs.

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Speaker 2: I'm not You're not eating Doritos all day across from

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Speaker 2: me who will not be named.

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Speaker 1: Yeah, I love. It's like my one thing I can't

405
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Speaker 1: not eat if I see a bag of Dorita's eating them, Sorry,

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Speaker 1: just do something about them.

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Speaker 3: Something has to happen.

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Speaker 1: Yeah.

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Speaker 3: Yeah, So that's but those tend to be the reasons.

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Speaker 3: It's just in more income security, less general fear I'm

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Speaker 3: going to lose my job, and in part because you

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Speaker 3: have this social safety net. If I lose my job,

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Speaker 3: I still have health care. And that seems to be

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Speaker 3: driving a.

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Speaker 1: Lot of But you're talking about Europe in the wa

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Speaker 1: and but what about places like China, India, Russia.

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Speaker 3: Completely more and much more like the US got it,

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Speaker 3: but there's much.

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Speaker 1: More as a distribution of wealth and disparity.

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Speaker 3: And I think the US leads the world. And this

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Speaker 3: is the other one. What's what's the statistic uh health

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Speaker 3: span versus or lifespan versus health span. I think one

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Speaker 3: of the things that's happening is that and I think

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Speaker 3: it's really good to get into. Is that not only

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Speaker 3: does the US lead the world in it, but it's

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Speaker 3: a problem everywhere that lifespans are getting longer, but almost

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Speaker 3: all of it is being spent in ill health.

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Speaker 2: Right, And that's like you get to you get this,

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Speaker 2: we're making it to eighty five now, but but sixty eight,

430
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Speaker 2: you know, but seventy to eighty five is still horrible,

431
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Speaker 2: still going to suck. It used to be seventy to

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Speaker 2: seventy two and they were like, so long and thanks

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Speaker 2: for all this, And now it's seventy to eighty five. Yeah,

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Speaker 2: and that's a long fifteen years.

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Speaker 3: It's like ten plus years, I think is the median

436
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Speaker 3: what you call it, like incremental health span?

437
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Speaker 2: Are where are those people? Just so I know where

438
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Speaker 2: not to go?

439
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Speaker 3: I wish I knew, now I don't know, But no,

440
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Speaker 3: are they?

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Speaker 2: I mean, are they in homes? Are they like at

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Speaker 2: all at home?

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Speaker 1: No?

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Speaker 2: Everywhere?

445
00:20:48,480 --> 00:20:51,120
Speaker 3: Everywhere, everywhere. And it's one of the reasons why in turn,

446
00:20:51,800 --> 00:20:54,880
Speaker 3: because those people spend the last ten years of their

447
00:20:54,920 --> 00:20:57,399
Speaker 3: life in ill health, it blows up the medical system,

448
00:20:57,600 --> 00:21:00,960
Speaker 3: right because that's the most expensive period generally, Like I

449
00:21:01,000 --> 00:21:03,600
Speaker 3: think something like thirty percent of people's health care costs

450
00:21:03,600 --> 00:21:05,119
Speaker 3: are spent in the last ten years of life. It

451
00:21:05,200 --> 00:21:06,160
Speaker 3: might even be higher.

452
00:21:05,960 --> 00:21:07,920
Speaker 1: Now and then you hit eighty five and if you

453
00:21:07,960 --> 00:21:11,040
Speaker 1: fall once you're dead. Well, yeah, that's the statistic. If

454
00:21:11,080 --> 00:21:13,960
Speaker 1: you fall, you're eighty five, you're you're there's a pretty

455
00:21:14,240 --> 00:21:15,639
Speaker 1: high chance that you never leave the hospital.

456
00:21:15,800 --> 00:21:18,080
Speaker 2: No, you're going to reach over for that last bag

457
00:21:18,160 --> 00:21:18,639
Speaker 2: of Darrida.

458
00:21:18,960 --> 00:21:22,920
Speaker 3: You have nothing but regret, swept, slide gone, Yeah, and

459
00:21:23,000 --> 00:21:25,480
Speaker 3: you'll be down. That's that's the biggie for me though.

460
00:21:25,560 --> 00:21:28,920
Speaker 3: And this is why I think, like, who's the guy

461
00:21:29,200 --> 00:21:32,760
Speaker 3: uh that's just been in trouble, peter a Tia.

462
00:21:32,560 --> 00:21:35,439
Speaker 2: Why I think there's so much a gentleman who's in trouble.

463
00:21:35,880 --> 00:21:38,040
Speaker 3: But no, this is why there's so much appetite for

464
00:21:38,080 --> 00:21:40,440
Speaker 3: this longevity stuff though, right, it's right. It's so interesting

465
00:21:40,560 --> 00:21:43,320
Speaker 3: is that everyone wants to live get back to you

466
00:21:43,400 --> 00:21:45,440
Speaker 3: were saying this earlier. I mean, everyone wants to live longer.

467
00:21:45,840 --> 00:21:48,320
Speaker 3: But the reality is, right now you live longer and

468
00:21:48,359 --> 00:21:49,600
Speaker 3: you live in in ill health. Do you want to

469
00:21:49,800 --> 00:21:51,639
Speaker 3: live longer? How much longer do you want to let

470
00:21:51,680 --> 00:21:53,600
Speaker 3: to you? This whole pitch is like, you don't have

471
00:21:53,680 --> 00:21:53,920
Speaker 3: to lie.

472
00:21:53,960 --> 00:21:57,200
Speaker 2: I'm gonna you know, help you not just live longer,

473
00:21:57,280 --> 00:21:59,640
Speaker 2: but live longer and better have a longer health span.

474
00:22:01,000 --> 00:22:04,320
Speaker 2: That has made up words someone made up. I say

475
00:22:04,320 --> 00:22:04,919
Speaker 2: it was made up.

476
00:22:05,280 --> 00:22:07,680
Speaker 1: I agree with Dick, all right, I have a.

477
00:22:09,040 --> 00:22:12,800
Speaker 2: I have a I don't know. I own your health

478
00:22:12,840 --> 00:22:14,960
Speaker 2: spend dot com and my health span dot com. I

479
00:22:15,320 --> 00:22:19,960
Speaker 2: planked your U R L blotting. It's also the case

480
00:22:20,960 --> 00:22:25,080
Speaker 2: that childhood obesity in the US is still crazy on

481
00:22:25,160 --> 00:22:28,399
Speaker 2: the rise. One of the things I don't get is

482
00:22:28,480 --> 00:22:33,000
Speaker 2: how the lifespan is apparently getting longer again in the US,

483
00:22:33,520 --> 00:22:37,680
Speaker 2: but there's no change in this crazy growth in childhood

484
00:22:37,680 --> 00:22:40,440
Speaker 2: obesity in the US. Like you would think that would

485
00:22:40,520 --> 00:22:44,600
Speaker 2: lead to obviously more type two diabetes whatever. I don't

486
00:22:44,600 --> 00:22:46,800
Speaker 2: remember what type diabetes is, the one where you're a

487
00:22:46,920 --> 00:22:49,640
Speaker 2: kid and you got diabetes. Thank you got.

488
00:22:52,160 --> 00:22:52,840
Speaker 3: Got it wrong.

489
00:22:55,440 --> 00:22:59,160
Speaker 2: Anyway, Like, it's weird that there's more and yet people

490
00:22:59,200 --> 00:23:01,160
Speaker 2: are living longer, because you would think that would mean

491
00:23:01,520 --> 00:23:02,919
Speaker 2: they're not going to make it so far.

492
00:23:03,080 --> 00:23:04,960
Speaker 1: Yeah, it's the one thing I think that you know,

493
00:23:05,080 --> 00:23:07,320
Speaker 1: there's a lot of wack a doodle stuff that RFK

494
00:23:07,480 --> 00:23:09,040
Speaker 1: Junior puts out there, but I think what.

495
00:23:11,640 --> 00:23:13,840
Speaker 3: Say what she will? He has the trains run on time, well, no, wait,

496
00:23:13,920 --> 00:23:15,120
Speaker 3: that was that urban guy.

497
00:23:15,200 --> 00:23:17,120
Speaker 1: Did you guys see that video of him working out

498
00:23:17,440 --> 00:23:20,639
Speaker 1: in Yeah, that was I did. Very very strange. You

499
00:23:20,760 --> 00:23:21,560
Speaker 1: missed out on that one.

500
00:23:21,800 --> 00:23:22,560
Speaker 4: But it's the one thing.

501
00:23:22,600 --> 00:23:26,960
Speaker 1: I think it's, you know, the that he I agree

502
00:23:26,960 --> 00:23:29,200
Speaker 1: with him on the red dyes and all those things.

503
00:23:29,240 --> 00:23:33,119
Speaker 1: I think it's it's unbelievable that we have allowed that

504
00:23:33,240 --> 00:23:36,000
Speaker 1: in our food for as long as we have what's

505
00:23:36,040 --> 00:23:36,480
Speaker 1: your face for?

506
00:23:36,520 --> 00:23:38,359
Speaker 2: You don the red die? I don't have the problem.

507
00:23:39,040 --> 00:23:41,440
Speaker 1: But there's the sugars and all the things he's talking

508
00:23:41,480 --> 00:23:43,040
Speaker 1: about it. But those are the things. I think that

509
00:23:43,080 --> 00:23:44,080
Speaker 1: there are certain things to do.

510
00:23:44,560 --> 00:23:48,359
Speaker 2: It don't have the fourth hoor.

511
00:23:48,440 --> 00:23:50,800
Speaker 1: The red die actually is a big thing for my

512
00:23:50,960 --> 00:23:53,800
Speaker 1: family because my kids have ADHD and when I when

513
00:23:53,840 --> 00:23:56,280
Speaker 1: they eat something with dye in it, it is literally

514
00:23:56,760 --> 00:23:59,880
Speaker 1: like they've snorted a line of cocaine. It is the crazy,

515
00:24:00,080 --> 00:24:03,679
Speaker 1: really thing, like we can really it's it's insane, Like.

516
00:24:04,400 --> 00:24:09,359
Speaker 2: Right now, I just want to try it.

517
00:24:10,680 --> 00:24:12,680
Speaker 3: I think your red dye is actually red die just

518
00:24:12,720 --> 00:24:18,560
Speaker 3: so either it's just a hunch. But yeah, but that's

519
00:24:18,600 --> 00:24:19,880
Speaker 3: been back to Dick's point. I mean, and I think

520
00:24:19,880 --> 00:24:20,399
Speaker 3: it's a good one.

521
00:24:20,520 --> 00:24:22,960
Speaker 1: Is that this idea that I sell a twenty dollars

522
00:24:22,960 --> 00:24:24,000
Speaker 1: a bag if you want someone.

523
00:24:24,920 --> 00:24:28,040
Speaker 3: We don't actually know how long Americans would live if

524
00:24:28,040 --> 00:24:31,800
Speaker 3: they didn't treat themselves so badly at most of their lives, right,

525
00:24:31,840 --> 00:24:34,280
Speaker 3: I mean, it could be childhood obesity, it could be

526
00:24:34,480 --> 00:24:37,600
Speaker 3: drug abuse, it could be food. You know, socioeconomic stress

527
00:24:37,600 --> 00:24:38,000
Speaker 3: from has.

528
00:24:37,920 --> 00:24:40,920
Speaker 2: Got to be quantifiable though, right, like what is? It

529
00:24:40,960 --> 00:24:44,680
Speaker 2: would be interesting to know what the even greater American

530
00:24:44,760 --> 00:24:47,680
Speaker 2: life expectancy would be if it weren't for all the

531
00:24:47,840 --> 00:24:51,600
Speaker 2: crazy amount of childhood obesity and sugar sugar. I mean,

532
00:24:51,600 --> 00:24:53,639
Speaker 2: the sugar intake is insane among kids.

533
00:24:53,520 --> 00:24:55,480
Speaker 3: In the US, right right, you just don't know. I mean,

534
00:24:55,480 --> 00:24:56,960
Speaker 3: all you can do is I was in I was

535
00:24:57,040 --> 00:24:58,840
Speaker 3: in a I was in a souper.

536
00:24:58,960 --> 00:25:01,320
Speaker 2: I'm going to say this. I'm gonnay like talk about

537
00:25:01,359 --> 00:25:03,480
Speaker 2: sounding like the point zero zero ze percent.

538
00:25:03,760 --> 00:25:03,960
Speaker 3: I was.

539
00:25:04,840 --> 00:25:07,359
Speaker 2: I was in a supermarket the other day. I was

540
00:25:08,280 --> 00:25:10,520
Speaker 2: I went to usually I wake up and you know

541
00:25:10,600 --> 00:25:13,080
Speaker 2: when I went breakfast, I'm just like you, I say, wentworth,

542
00:25:14,119 --> 00:25:15,280
Speaker 2: I feel like strawberries.

543
00:25:17,119 --> 00:25:19,560
Speaker 3: But as I chance to go to a.

544
00:25:19,560 --> 00:25:22,080
Speaker 2: Supermarket the other day. No, I'm in a supermarket the

545
00:25:22,119 --> 00:25:27,920
Speaker 2: other day and I counted six rows of not food,

546
00:25:28,640 --> 00:25:29,880
Speaker 2: six aisles.

547
00:25:30,040 --> 00:25:30,800
Speaker 1: What kind of stuff?

548
00:25:30,960 --> 00:25:39,440
Speaker 2: I chipped snacks, popcorn, chips, pretzels, energy drinks, gatorade, blah

549
00:25:39,480 --> 00:25:42,760
Speaker 2: blah blah, candy. Uh, I mean there were there were

550
00:25:43,160 --> 00:25:46,000
Speaker 2: I was like, how can there be six? There's only

551
00:25:46,240 --> 00:25:49,320
Speaker 2: seven rows, you know there was like the last one

552
00:25:49,440 --> 00:25:52,280
Speaker 2: was broccoli. Enough.

553
00:25:54,520 --> 00:25:56,240
Speaker 5: They go by and they put it back on the

554
00:25:56,280 --> 00:26:00,280
Speaker 5: side half of the store, like by the way she

555
00:26:00,400 --> 00:26:03,920
Speaker 5: drinks row was and gatory and that was different from

556
00:26:03,960 --> 00:26:08,000
Speaker 5: the like coke and PEPSI It's unbelievable and it's crazy

557
00:26:08,119 --> 00:26:08,680
Speaker 5: how much of it.

558
00:26:09,560 --> 00:26:13,159
Speaker 2: Think about Think about when you were a kid or

559
00:26:13,400 --> 00:26:16,760
Speaker 2: you know, going to the grocery store with your mom

560
00:26:16,880 --> 00:26:22,480
Speaker 2: or dad. Half the store wasn't the snacks and junk.

561
00:26:22,720 --> 00:26:24,359
Speaker 2: It was like it was like a junk isle.

562
00:26:24,520 --> 00:26:26,520
Speaker 1: I wouldn't know Wentworth went to the grocery store for me.

563
00:26:26,640 --> 00:26:30,400
Speaker 1: But all right, but here's a question for you guys.

564
00:26:30,520 --> 00:26:34,199
Speaker 1: So you're both very like health focused and you exercise

565
00:26:34,280 --> 00:26:37,159
Speaker 1: and all that, so you not like you guys, I

566
00:26:37,240 --> 00:26:39,480
Speaker 1: mean you run like a marathon every day and and

567
00:26:39,960 --> 00:26:45,399
Speaker 1: he lifts the equivalent of a small tank. Meanwhile, I

568
00:26:45,520 --> 00:26:47,520
Speaker 1: like barely could run two miles without feeling like I'm

569
00:26:47,520 --> 00:26:51,160
Speaker 1: gonna have a heart attack. But but there's a there's

570
00:26:51,240 --> 00:26:54,639
Speaker 1: this divide that's happening where you have the health the

571
00:26:55,119 --> 00:26:58,119
Speaker 1: this health industry that's what four to seven trillion dollars

572
00:26:58,240 --> 00:27:01,800
Speaker 1: right now huge. This is huge. You have this movement

573
00:27:01,960 --> 00:27:05,160
Speaker 1: of the Peter Tilla's and and the like will Never Die,

574
00:27:05,520 --> 00:27:09,080
Speaker 1: Brian Johnson's and and this this whole movement where that

575
00:27:09,320 --> 00:27:11,240
Speaker 1: those trillions of dollars are being spent, and then at

576
00:27:11,280 --> 00:27:14,240
Speaker 1: the same time you have the supermarkets with six aisles

577
00:27:14,560 --> 00:27:18,040
Speaker 1: of utter garbage and that are genuinely killing people. Like

578
00:27:18,119 --> 00:27:20,840
Speaker 1: it's it's not an argument these sugars and these dyes

579
00:27:20,880 --> 00:27:25,879
Speaker 1: and all these things are are killing people. Why is

580
00:27:25,960 --> 00:27:29,360
Speaker 1: it just economic that is the divide here? Or what's

581
00:27:29,440 --> 00:27:31,919
Speaker 1: going on that there is so many.

582
00:27:31,800 --> 00:27:33,840
Speaker 2: People think Paul shaking his head, no, but I think

583
00:27:33,920 --> 00:27:35,080
Speaker 2: it is, you do, yeah.

584
00:27:35,480 --> 00:27:37,920
Speaker 3: I think it's that it's engineered for addiction. Like it's

585
00:27:38,080 --> 00:27:41,560
Speaker 3: just so such engineered food products. So because you see

586
00:27:41,600 --> 00:27:44,240
Speaker 3: it it almost you see it's worse among lower income

587
00:27:44,680 --> 00:27:46,720
Speaker 3: but you see it at all ages where it's it's

588
00:27:46,880 --> 00:27:49,320
Speaker 3: just this stuff is just so well targeted to hit

589
00:27:49,400 --> 00:27:52,320
Speaker 3: your taste buds and you know, have give you this feeling.

590
00:27:52,320 --> 00:27:54,240
Speaker 3: I got to have one more. It's the crunch and

591
00:27:54,520 --> 00:27:56,159
Speaker 3: it's all of this stuff, like the research stuff is

592
00:27:56,240 --> 00:27:58,560
Speaker 3: crazy that they do inside these places. Like I didn't

593
00:27:58,560 --> 00:28:00,920
Speaker 3: even realize, like how much work is done on the

594
00:28:01,080 --> 00:28:04,000
Speaker 3: crunch ability of these snack foods. It isn't just the taste,

595
00:28:04,080 --> 00:28:06,000
Speaker 3: it's like this texture stuff, and it's just like, you

596
00:28:06,040 --> 00:28:07,440
Speaker 3: know what that's ridiculous.

597
00:28:07,080 --> 00:28:09,280
Speaker 1: Is that you can't tell me Doritos targeted me today.

598
00:28:09,320 --> 00:28:12,000
Speaker 3: Yeah, yeah, like you would be Yeah, Oh, it's crazy.

599
00:28:12,080 --> 00:28:14,080
Speaker 3: I had no idea that all of that stuff factored

600
00:28:14,119 --> 00:28:14,399
Speaker 3: into it.

601
00:28:14,760 --> 00:28:16,399
Speaker 1: It's so evil, it really is.

602
00:28:17,600 --> 00:28:19,760
Speaker 3: But that's that's the problem, right, I mean, it's really

603
00:28:19,800 --> 00:28:22,800
Speaker 3: profitable and it's easy to engineer it. The biggest problem

604
00:28:22,840 --> 00:28:23,480
Speaker 3: they have right now?

605
00:28:23,600 --> 00:28:25,320
Speaker 2: Are we the only Are we one of the only

606
00:28:25,560 --> 00:28:28,359
Speaker 2: This is another thing I don't know. Are we the

607
00:28:28,440 --> 00:28:31,639
Speaker 2: only country where? I mean, if you were I don't know,

608
00:28:32,080 --> 00:28:34,680
Speaker 2: born and raised in you know, Kyoto, or born and

609
00:28:34,760 --> 00:28:37,280
Speaker 2: raised in Paris or born and whatever, I don't pick

610
00:28:37,320 --> 00:28:39,760
Speaker 2: a pick a Cape town and you came into a

611
00:28:39,920 --> 00:28:41,719
Speaker 2: grocery store in the US, the one like the one

612
00:28:41,720 --> 00:28:44,200
Speaker 2: I'm just talking about, would you be like, what in

613
00:28:44,320 --> 00:28:46,920
Speaker 2: the world is this or is it just all the same.

614
00:28:47,160 --> 00:28:50,640
Speaker 1: Well, no, it's not all the same in Canada, for example, No,

615
00:28:50,840 --> 00:28:53,800
Speaker 1: but not like here. It can't exact. No, but the

616
00:28:53,920 --> 00:28:57,120
Speaker 1: fruit loops in America use red and blue and green dye.

617
00:28:57,240 --> 00:29:00,080
Speaker 1: The fruit loops in Canada use it's a different they

618
00:29:00,080 --> 00:29:04,480
Speaker 1: are different, but it's just still. But it's it's yes there,

619
00:29:04,600 --> 00:29:07,040
Speaker 1: but I think it's it's not beet juice. They use

620
00:29:07,080 --> 00:29:08,800
Speaker 1: beet juice and carrot juice and things like that to

621
00:29:09,240 --> 00:29:11,760
Speaker 1: color the fruit loops in Canada.

622
00:29:11,800 --> 00:29:14,360
Speaker 3: But that's you're still the issue is the fruit loop,

623
00:29:14,440 --> 00:29:14,920
Speaker 3: not the color.

624
00:29:15,040 --> 00:29:17,800
Speaker 1: Just to be clear, you're semantics.

625
00:29:19,600 --> 00:29:21,719
Speaker 3: Different colored fruit, I think.

626
00:29:21,840 --> 00:29:25,320
Speaker 1: But no, look at Japan like they the lotest life

627
00:29:25,360 --> 00:29:30,520
Speaker 1: expectancy that they definite they eat sugars and and all

628
00:29:30,560 --> 00:29:32,560
Speaker 1: these things, but it's not in the same way that that.

629
00:29:32,680 --> 00:29:34,960
Speaker 1: There are so many more rules in Japan that are But.

630
00:29:35,040 --> 00:29:37,360
Speaker 3: Then you go to like a Mexican grocery store, it's

631
00:29:38,080 --> 00:29:39,160
Speaker 3: as bad as the US.

632
00:29:39,280 --> 00:29:39,920
Speaker 1: It's worse.

633
00:29:40,160 --> 00:29:43,920
Speaker 3: Yeah, I mean, same thing in Brazil. It's yeah, the

634
00:29:43,960 --> 00:29:45,800
Speaker 3: grocery stores are crazy and you go in and you're like,

635
00:29:45,840 --> 00:29:47,640
Speaker 3: oh my god, this is actually makes the US grocery

636
00:29:47,640 --> 00:29:48,920
Speaker 3: store seem marginally healthy.

637
00:30:10,640 --> 00:30:13,760
Speaker 1: My kids, one of my older kid who's ten now,

638
00:30:14,000 --> 00:30:16,840
Speaker 1: he is obsessed with like Coca cola and sprite. We

639
00:30:16,880 --> 00:30:19,160
Speaker 1: don't ever give him it, but once in a while

640
00:30:19,360 --> 00:30:21,760
Speaker 1: he'll get it. And I was at home depot getting

641
00:30:21,800 --> 00:30:25,720
Speaker 1: something and he ran over with like a Fanta small size.

642
00:30:26,560 --> 00:30:29,240
Speaker 1: How many grams of the sugar? More? Is it like

643
00:30:29,400 --> 00:30:32,080
Speaker 1: eighty something grams of sugar in this thing? Yeah, it's insane.

644
00:30:32,240 --> 00:30:32,840
Speaker 1: That's insane.

645
00:30:33,000 --> 00:30:35,360
Speaker 3: Ye, just imagine putting it in you know, a couple

646
00:30:35,400 --> 00:30:38,400
Speaker 3: of tablespoons of sugar. It's crazy. Yeah, right, I'll just

647
00:30:38,520 --> 00:30:40,040
Speaker 3: have that for dinner. I'm going to have as much

648
00:30:40,080 --> 00:30:42,200
Speaker 3: of this as I possibly can. But I just think,

649
00:30:42,320 --> 00:30:43,960
Speaker 3: I don't know what you guys? How often do you

650
00:30:44,000 --> 00:30:45,440
Speaker 3: guys go see how often do you see you like

651
00:30:45,520 --> 00:30:48,320
Speaker 3: a GP like go see a doctor if nothing's wrong,

652
00:30:48,400 --> 00:30:49,600
Speaker 3: nothing's wrong, How often do you go?

653
00:30:50,400 --> 00:30:53,160
Speaker 1: I should go more? I don't go enough. That means

654
00:30:53,320 --> 00:30:55,960
Speaker 1: never I did go. No, No, I'll tell you what

655
00:30:56,040 --> 00:30:58,000
Speaker 1: happened to me. This is what happened, and this is

656
00:30:58,160 --> 00:30:59,920
Speaker 1: this is like another part of this conversation.

657
00:31:00,040 --> 00:31:04,560
Speaker 2: And had he had some red die on my wrist

658
00:31:05,560 --> 00:31:07,120
Speaker 2: I conor died some red dye.

659
00:31:07,440 --> 00:31:09,120
Speaker 1: I was just trying to see what it was like,

660
00:31:09,400 --> 00:31:11,960
Speaker 1: just experimenting. No. I had a doctor when I first

661
00:31:12,000 --> 00:31:17,000
Speaker 1: moved to LA about ten years ago, and one day

662
00:31:17,080 --> 00:31:19,480
Speaker 1: he called me and he said, hey, I'm going into

663
00:31:19,600 --> 00:31:22,760
Speaker 1: the concierge service and I'm going to be charging two

664
00:31:22,800 --> 00:31:25,120
Speaker 1: thousand dollars a year and so on. And I was like, okay,

665
00:31:25,200 --> 00:31:26,880
Speaker 1: well you're a great doctor. I'll stick with you. The

666
00:31:26,960 --> 00:31:28,760
Speaker 1: next year it was four thousand dollars. The next year

667
00:31:28,800 --> 00:31:29,160
Speaker 1: it was six.

668
00:31:29,240 --> 00:31:30,000
Speaker 2: So I left.

669
00:31:30,280 --> 00:31:33,120
Speaker 1: I went to another doctor and the same thing happened,

670
00:31:33,160 --> 00:31:35,320
Speaker 1: and it got to eight thousand dollars. If you remember

671
00:31:35,960 --> 00:31:36,520
Speaker 1: the doctor.

672
00:31:36,640 --> 00:31:38,800
Speaker 2: I just had my fourth.

673
00:31:38,840 --> 00:31:42,280
Speaker 3: Doctor, Okay, just went concierge, took.

674
00:31:42,160 --> 00:31:45,239
Speaker 1: A concierge job, and then offered me like at one

675
00:31:45,280 --> 00:31:48,520
Speaker 1: of the concierge places, and then said, we you know,

676
00:31:48,680 --> 00:31:52,560
Speaker 1: we will give you a five percent discount on the

677
00:31:52,600 --> 00:31:54,680
Speaker 1: membership for this concierge place. Do you want to know

678
00:31:54,720 --> 00:31:57,560
Speaker 1: how much it is a year? Yes, you will never guess. Well,

679
00:31:57,680 --> 00:32:02,080
Speaker 1: it was the last sound sixty thousand dollars a year

680
00:32:02,280 --> 00:32:05,520
Speaker 1: a year. And this is like, so what's happened in La?

681
00:32:05,800 --> 00:32:08,200
Speaker 1: And I'm sure New York and other places. Is that

682
00:32:08,360 --> 00:32:12,480
Speaker 1: the they're not making enough money as they make seventy

683
00:32:12,520 --> 00:32:14,840
Speaker 1: six dollars or whatever it is per patient they meet

684
00:32:14,880 --> 00:32:18,320
Speaker 1: from the insurance. And so you've had these doctors that

685
00:32:18,400 --> 00:32:21,960
Speaker 1: have gone into this private practice concierge. You pay five

686
00:32:22,040 --> 00:32:24,760
Speaker 1: thousand or ten thousand, the average now is twenty thousand

687
00:32:24,840 --> 00:32:27,600
Speaker 1: for some of the high end ones a year and

688
00:32:28,680 --> 00:32:30,360
Speaker 1: and then you get you know, full access. You can

689
00:32:30,440 --> 00:32:32,000
Speaker 1: text your doctor and so on and so forth.

690
00:32:32,040 --> 00:32:33,600
Speaker 2: And they say, take to aspirin and call me in

691
00:32:33,600 --> 00:32:35,959
Speaker 2: the morning pretty much pretty much. Yeah, Also, you're late

692
00:32:36,040 --> 00:32:38,840
Speaker 2: with your one hundred and seventy thousand dollars premium, right

693
00:32:39,280 --> 00:32:39,600
Speaker 2: or they.

694
00:32:39,560 --> 00:32:42,760
Speaker 1: Can they set me up on zell they say, Or

695
00:32:42,840 --> 00:32:44,080
Speaker 1: you say, I don't want to ask for and I

696
00:32:44,160 --> 00:32:45,680
Speaker 1: want a line of red dye, and they're like, right,

697
00:32:45,720 --> 00:32:47,000
Speaker 1: I'll give you that whatever I want.

698
00:32:47,240 --> 00:32:50,560
Speaker 2: Press one to pay your press how much.

699
00:32:50,640 --> 00:32:53,880
Speaker 1: Was it one sixty, one hundred and sixty thousand dollars?

700
00:32:54,760 --> 00:32:56,840
Speaker 1: And it's like a high end like private for.

701
00:32:56,920 --> 00:32:58,880
Speaker 3: That, THEA should do the coldhoskar before me. I don't

702
00:32:58,880 --> 00:33:00,560
Speaker 3: want to go, you just get you do report that.

703
00:33:02,600 --> 00:33:04,760
Speaker 1: But this is another thing. The people that are going

704
00:33:04,840 --> 00:33:07,760
Speaker 1: to these to the people that have these concant air services,

705
00:33:07,800 --> 00:33:09,880
Speaker 1: which goes back to what we're talking about earlier. They

706
00:33:10,280 --> 00:33:14,000
Speaker 1: are they're obviously wealthy. They get to live longer and

707
00:33:14,080 --> 00:33:14,520
Speaker 1: live healthy.

708
00:33:15,040 --> 00:33:16,720
Speaker 3: Because this is where I was going though, is that

709
00:33:16,880 --> 00:33:20,040
Speaker 3: the thing that's interesting? Like so I almost never go

710
00:33:20,360 --> 00:33:23,440
Speaker 3: like I just don't. And the reason is because GPS

711
00:33:23,440 --> 00:33:25,920
Speaker 3: are lead gen for hospitals. Right this is now we're

712
00:33:26,520 --> 00:33:29,920
Speaker 3: like the idea that you somehow are doing anything if

713
00:33:29,960 --> 00:33:32,680
Speaker 3: you have a non acute condition, like nothing wrong with you,

714
00:33:33,040 --> 00:33:36,520
Speaker 3: otherwise healthy, no family history of anything, going to see

715
00:33:36,560 --> 00:33:38,000
Speaker 3: there's a great study from a few years ago, and

716
00:33:38,040 --> 00:33:39,480
Speaker 3: then I don't know it's one of the medical journals

717
00:33:39,520 --> 00:33:42,160
Speaker 3: saying that there was no there's no reason to continue

718
00:33:42,200 --> 00:33:43,880
Speaker 3: to do it. Annual physical was.

719
00:33:43,920 --> 00:33:44,360
Speaker 2: The point of it.

720
00:33:46,680 --> 00:33:48,160
Speaker 3: In the Newinglan journal Maths, they had a great study

721
00:33:48,200 --> 00:33:52,040
Speaker 3: showing that there's no relationship between mortality.

722
00:33:52,520 --> 00:33:56,920
Speaker 2: Uh incident of that can't be because you you're you're

723
00:33:57,160 --> 00:33:58,800
Speaker 2: missing out on early cancer detection.

724
00:33:58,920 --> 00:34:00,840
Speaker 1: And but again most of the yeah, they stick to

725
00:34:00,880 --> 00:34:03,000
Speaker 1: their finger up your butt, not for fun, because they

726
00:34:03,040 --> 00:34:07,320
Speaker 1: want to see if you've got right to Ben's who

727
00:34:07,400 --> 00:34:08,239
Speaker 1: we're talking about.

728
00:34:08,719 --> 00:34:09,239
Speaker 3: I have a story.

729
00:34:09,400 --> 00:34:10,680
Speaker 2: But the time.

730
00:34:14,880 --> 00:34:16,640
Speaker 3: I had a doctor years ago, I was getting I

731
00:34:16,719 --> 00:34:17,759
Speaker 3: was in grad school.

732
00:34:17,880 --> 00:34:19,920
Speaker 2: To the doctor again, I was trying to get a

733
00:34:20,000 --> 00:34:20,759
Speaker 2: new list.

734
00:34:21,160 --> 00:34:23,480
Speaker 3: I was trying to get a new GP back then.

735
00:34:24,000 --> 00:34:26,480
Speaker 3: And this is the doctor said she had to like

736
00:34:26,640 --> 00:34:28,800
Speaker 3: she needed references. I said, what do you mean you

737
00:34:28,840 --> 00:34:31,359
Speaker 3: need references? Like, I'm a good patient. I don't get

738
00:34:31,360 --> 00:34:33,279
Speaker 3: sick MUDs. What are you looking for? She said, well,

739
00:34:33,280 --> 00:34:35,360
Speaker 3: I have a lot of people coming in here looking

740
00:34:35,480 --> 00:34:37,359
Speaker 3: for to have prostate exams done.

741
00:34:37,880 --> 00:34:39,719
Speaker 1: And I was just like, you said, just one of them?

742
00:34:41,600 --> 00:34:45,680
Speaker 2: And I said, what, No, I'm just happy to see you.

743
00:34:46,320 --> 00:34:48,239
Speaker 3: So we had this weird conversation where it turns out

744
00:34:48,239 --> 00:34:49,920
Speaker 3: I had no idea this was the case.

745
00:34:50,000 --> 00:34:52,040
Speaker 2: The people really just go because they just go because it's.

746
00:34:51,920 --> 00:34:53,600
Speaker 3: Kind of, you know, a kink, right, And so she

747
00:34:53,760 --> 00:34:56,000
Speaker 3: had to screen out the wackos, and I thought, oh,

748
00:34:56,080 --> 00:34:58,759
Speaker 3: my goodness, is absolutely so so so back to utual point,

749
00:34:58,800 --> 00:35:01,200
Speaker 3: though it is not true, there is no relationship and

750
00:35:01,200 --> 00:35:02,960
Speaker 3: an otherwise healthy personage.

751
00:35:03,400 --> 00:35:09,120
Speaker 2: The phone call is that you no, no, it's not me.

752
00:35:10,040 --> 00:35:11,279
Speaker 1: It's wentworth.

753
00:35:13,800 --> 00:35:16,440
Speaker 3: Between having the physical stud and actually in longevity mortalent.

754
00:35:16,440 --> 00:35:17,920
Speaker 3: And that's the thing that drives people crazy and don't

755
00:35:18,280 --> 00:35:19,680
Speaker 3: how can that possibly be true?

756
00:35:19,680 --> 00:35:22,520
Speaker 2: Though, So so let's just use the You go in,

757
00:35:22,760 --> 00:35:24,480
Speaker 2: you happen to do the blood test, and you're like,

758
00:35:24,520 --> 00:35:27,239
Speaker 2: oh my god, you've got early but thank god we

759
00:35:27,280 --> 00:35:27,959
Speaker 2: found people.

760
00:35:28,440 --> 00:35:31,520
Speaker 3: People argue, that's arguing from exceptions though, across the population

761
00:35:31,640 --> 00:35:35,359
Speaker 3: that rarely helped. And I went in, Okay, it's an exception, though,

762
00:35:35,640 --> 00:35:36,800
Speaker 3: what's how the exception is?

763
00:35:36,880 --> 00:35:38,719
Speaker 1: I went in and they said I have high cholesterol

764
00:35:38,760 --> 00:35:40,959
Speaker 1: and I'm now in a statin okay, and I won't

765
00:35:41,000 --> 00:35:43,520
Speaker 1: have a heart attack hopefully in ten years.

766
00:35:43,640 --> 00:35:44,640
Speaker 3: So but you're treated.

767
00:35:45,120 --> 00:35:46,640
Speaker 1: Yeah, but that's because I went in for tests.

768
00:35:46,680 --> 00:35:49,520
Speaker 3: But my point is across if you're otherwise healthy.

769
00:35:49,320 --> 00:35:52,800
Speaker 1: And have nowhere ms malfunctioning, if you're otherwise, it's not

770
00:35:52,880 --> 00:35:55,000
Speaker 1: it's actually I'm otherwise healthy.

771
00:35:55,760 --> 00:35:59,480
Speaker 2: He's saying your data, the data say that there's no

772
00:35:59,640 --> 00:36:02,120
Speaker 2: different there's no difference none, and so if you bet,

773
00:36:02,480 --> 00:36:03,960
Speaker 2: and of course that pisses off doctors.

774
00:36:04,000 --> 00:36:05,440
Speaker 3: I used to have the bad habit of bringing it

775
00:36:05,520 --> 00:36:07,920
Speaker 3: into because from my insurance, I had to go once

776
00:36:07,960 --> 00:36:09,640
Speaker 3: a year and I would show up with and I

777
00:36:09,680 --> 00:36:11,919
Speaker 3: showed up with the paper and showed them this, which

778
00:36:12,000 --> 00:36:13,560
Speaker 3: pissed them off. I said, you guys would just lead

779
00:36:13,640 --> 00:36:16,560
Speaker 3: gen for specialized procedures and there's.

780
00:36:16,400 --> 00:36:19,080
Speaker 2: No real reason to do this, and then injected cancer cells.

781
00:36:20,680 --> 00:36:24,640
Speaker 3: Highly toxic red dye. I got all excited here start this.

782
00:36:24,880 --> 00:36:26,680
Speaker 3: But see, this is the thing though, And that's the

783
00:36:26,719 --> 00:36:28,840
Speaker 3: mistake people make because they think it's greater access to

784
00:36:28,880 --> 00:36:31,480
Speaker 3: healthcare that leads to longevity. And that's wrong. What is it.

785
00:36:32,160 --> 00:36:36,920
Speaker 3: It was elimination of infectious diseases, it was less in general,

786
00:36:37,080 --> 00:36:40,520
Speaker 3: a better food hygiene, it was penicillin. It's all stuff

787
00:36:40,560 --> 00:36:42,480
Speaker 3: that was like eighty years ago. This is the thing

788
00:36:42,560 --> 00:36:45,520
Speaker 3: that drives me is most of the improvements in longevity

789
00:36:45,920 --> 00:36:48,080
Speaker 3: are due to stuff that happened eighty years ago. It's

790
00:36:48,120 --> 00:36:49,960
Speaker 3: not that all of suddenly got better at anything.

791
00:36:50,040 --> 00:36:53,560
Speaker 1: Did we live We didn't live longer eighty years ago though, right, Well,

792
00:36:53,600 --> 00:36:53,799
Speaker 1: if you.

793
00:36:53,880 --> 00:36:56,719
Speaker 3: Made it to age fifty, the likelihood of making it

794
00:36:56,800 --> 00:36:59,560
Speaker 3: to age seventy or eighty was about the same. But

795
00:36:59,640 --> 00:37:01,440
Speaker 3: you but you had to cross the chasm.

796
00:37:01,760 --> 00:37:04,200
Speaker 1: But if you made it to that age, because I was,

797
00:37:04,320 --> 00:37:07,120
Speaker 1: I was in a museum recently and you see these

798
00:37:07,239 --> 00:37:09,839
Speaker 1: portraits of these very old people that are in their

799
00:37:09,920 --> 00:37:12,080
Speaker 1: nineties in some instances, and they've got those really ugly

800
00:37:12,200 --> 00:37:15,160
Speaker 1: dogs that they had back then. You've seen those skinny

801
00:37:15,200 --> 00:37:17,480
Speaker 1: looking dogs. They're so weird looking anyway, No.

802
00:37:18,560 --> 00:37:21,799
Speaker 2: The other one, the ugly one, the uglier one, hairless ones.

803
00:37:21,920 --> 00:37:24,719
Speaker 1: Yeah, that one weird. I don't know why they what

804
00:37:24,880 --> 00:37:27,400
Speaker 1: did they like to cuddle with ugly hairless dogs back Anyway?

805
00:37:28,200 --> 00:37:31,160
Speaker 1: I digress, But the point is is that I was wondering, well,

806
00:37:31,200 --> 00:37:33,640
Speaker 1: how did they How did they live longer than us?

807
00:37:33,719 --> 00:37:36,240
Speaker 1: But it's probably because once you made it past.

808
00:37:36,040 --> 00:37:38,040
Speaker 3: Once you made it. But then also you didn't have

809
00:37:38,920 --> 00:37:40,520
Speaker 3: dentanyl traffic guns.

810
00:37:40,360 --> 00:37:43,680
Speaker 2: Red dye, Okay, I have I have a question that

811
00:37:44,120 --> 00:37:48,080
Speaker 2: like maybe maybe what's going on in Japan, and I

812
00:37:48,160 --> 00:37:52,640
Speaker 2: think Korea is a predictor of what happens here, which

813
00:37:52,719 --> 00:37:55,520
Speaker 2: is that people in Japan are basically going into homes

814
00:37:55,560 --> 00:37:58,160
Speaker 2: and finding people that have been dead for days and

815
00:37:58,239 --> 00:38:01,640
Speaker 2: weeks because they're alone there. It's an aging po the

816
00:38:01,719 --> 00:38:05,400
Speaker 2: population is aging. It's the ninety year old who has

817
00:38:05,520 --> 00:38:08,759
Speaker 2: no other direct relatives around them, and the person's been

818
00:38:08,800 --> 00:38:12,080
Speaker 2: in there dead for x Sometimes what's so funny?

819
00:38:12,360 --> 00:38:13,440
Speaker 3: It's true, it's horrible.

820
00:38:13,560 --> 00:38:15,400
Speaker 2: Not everything I say is funny. Some things are very

821
00:38:15,480 --> 00:38:17,600
Speaker 2: very serious. And that's so isn't this going to happen

822
00:38:17,600 --> 00:38:20,399
Speaker 2: in the US as the population continues stage you'll find

823
00:38:20,440 --> 00:38:23,880
Speaker 2: more dead people in your homes? Yeah, not me personally.

824
00:38:24,680 --> 00:38:26,759
Speaker 2: Oh that's one of my money unless it's one of

825
00:38:26,880 --> 00:38:30,600
Speaker 2: my one of my unintentionally assisted suicides that I discussed earlier.

826
00:38:30,680 --> 00:38:35,040
Speaker 2: No one will one will walk into an apartment or

827
00:38:35,120 --> 00:38:38,640
Speaker 2: home and there will be there will be Wise, there will.

828
00:38:38,440 --> 00:38:42,760
Speaker 1: Be well also, there will be phil Oh Wentworth.

829
00:38:43,840 --> 00:38:48,400
Speaker 2: But the is that that's absolutely comming. I mean, it

830
00:38:48,719 --> 00:38:52,480
Speaker 2: happens with some frequency in Japan and Korean. They're sort

831
00:38:52,520 --> 00:38:55,080
Speaker 2: of like feels like they're sort of ten fifteen years

832
00:38:55,080 --> 00:38:58,719
Speaker 2: ahead of us on the aging population consequences.

833
00:38:58,760 --> 00:39:00,120
Speaker 3: But have you seen the other what's the other the

834
00:39:00,800 --> 00:39:03,960
Speaker 3: blue zone stuff where there's all this data on locations

835
00:39:04,000 --> 00:39:05,960
Speaker 3: and the consequences of health. But if you've seen the

836
00:39:06,120 --> 00:39:10,800
Speaker 3: blue zone fraud stuff showing that the highest incidents of

837
00:39:10,960 --> 00:39:14,000
Speaker 3: increased longevity in places like where it'll somewhere eavily or

838
00:39:14,040 --> 00:39:17,319
Speaker 3: something or whatever are also associated with places with poor

839
00:39:17,360 --> 00:39:20,879
Speaker 3: birth records and or with places that have a hurdle

840
00:39:20,920 --> 00:39:22,880
Speaker 3: right to earning a higher pension or something like that.

841
00:39:23,360 --> 00:39:28,359
Speaker 3: So it's very closely associated with line lying about their.

842
00:39:29,320 --> 00:39:30,880
Speaker 1: Didn't they do that whole Netflix documentary.

843
00:39:31,520 --> 00:39:34,400
Speaker 2: A lot of the Blue Zone stuff is just fraud.

844
00:39:35,760 --> 00:39:40,840
Speaker 3: Age fraud. So it turns out that that's people pretty

845
00:39:40,840 --> 00:39:42,680
Speaker 3: eager to make that stuff up. But the point I

846
00:39:42,800 --> 00:39:45,000
Speaker 3: was making with the other stuff, though, is that one

847
00:39:45,040 --> 00:39:47,200
Speaker 3: of the things that's really interesting is I think that

848
00:39:47,440 --> 00:39:50,400
Speaker 3: most people have the wrong idea about what leads to

849
00:39:50,480 --> 00:39:52,600
Speaker 3: longer health. They think it's going to see a doctru

850
00:39:52,640 --> 00:39:55,800
Speaker 3: more often they think it's all of you know, it's

851
00:39:55,880 --> 00:39:58,960
Speaker 3: really just avoiding having someone shoot you, don't get run

852
00:39:59,040 --> 00:40:02,280
Speaker 3: over in traffic reasonably, well, get some sleep, get some exercise.

853
00:40:02,320 --> 00:40:04,360
Speaker 3: With the rest of it's something like fifty percent is genetics,

854
00:40:04,400 --> 00:40:05,160
Speaker 3: Like it's ridiculous.

855
00:40:05,200 --> 00:40:07,719
Speaker 1: Yeah, okay, so then let me ask you this question.

856
00:40:08,239 --> 00:40:09,680
Speaker 1: Do you think it's a bad idea to go get

857
00:40:09,719 --> 00:40:12,400
Speaker 1: like a gallery test to see what which ridiculous I do?

858
00:40:12,719 --> 00:40:12,919
Speaker 2: Why?

859
00:40:13,120 --> 00:40:15,680
Speaker 1: Because then you know what you Okay, let's just say,

860
00:40:16,000 --> 00:40:18,040
Speaker 1: let's say that's crazy bat all that stuff, just so

861
00:40:18,120 --> 00:40:20,480
Speaker 1: you know, but it's not. It's only it's about a

862
00:40:20,560 --> 00:40:22,200
Speaker 1: one percent incorrect Martin Knight.

863
00:40:22,600 --> 00:40:25,080
Speaker 3: But if you do hundreds of tests across thousands of people.

864
00:40:25,200 --> 00:40:27,359
Speaker 3: The likelihood of false positives goes through the roof. All

865
00:40:27,360 --> 00:40:29,400
Speaker 3: those people get tested, some of them have that all

866
00:40:29,520 --> 00:40:31,680
Speaker 3: leads to more testing. You get these testing cascades.

867
00:40:31,719 --> 00:40:32,240
Speaker 2: It's horrible.

868
00:40:32,320 --> 00:40:34,239
Speaker 1: But so you're saying that I should not go and

869
00:40:34,320 --> 00:40:37,600
Speaker 1: find out what genetics I have that I'm predismissioned to.

870
00:40:37,960 --> 00:40:40,120
Speaker 3: If you're just like curious, go crazy.

871
00:40:40,160 --> 00:40:42,560
Speaker 1: No, But okay, let's just say that I have I

872
00:40:42,640 --> 00:40:46,680
Speaker 1: could get stomach cancer. Right, let's just say. That's the

873
00:40:46,719 --> 00:40:47,560
Speaker 1: thing I love.

874
00:40:47,480 --> 00:40:50,920
Speaker 2: How everything is now funny. Let's just say let's just

875
00:40:50,960 --> 00:40:53,839
Speaker 2: say that I could get stomach cancer. Now, I can't

876
00:40:53,880 --> 00:41:01,480
Speaker 2: stop laughing. Sorry, stomach cancer can tell you about stomach cuts. Yeah,

877
00:41:02,000 --> 00:41:03,359
Speaker 2: I'm sorry, Okay, go ahead. Yeah.

878
00:41:03,400 --> 00:41:04,960
Speaker 3: So let's say you felt a test that you wouldn't.

879
00:41:05,160 --> 00:41:07,040
Speaker 3: Let's just say like a genetic prece.

880
00:41:06,719 --> 00:41:08,959
Speaker 1: Did a genetic test that found the stomach cancer.

881
00:41:09,080 --> 00:41:12,040
Speaker 3: Right, that you, but you have a higher preduced by.

882
00:41:13,160 --> 00:41:15,480
Speaker 1: More burnt toast or too much steak and things like that,

883
00:41:15,680 --> 00:41:18,000
Speaker 1: that will then lead to a higher rate of me

884
00:41:18,080 --> 00:41:22,279
Speaker 1: getting stomach cancer. Right or or and or and or

885
00:41:22,280 --> 00:41:25,200
Speaker 1: if I go get colonoscopies, I could make sure that

886
00:41:25,280 --> 00:41:27,480
Speaker 1: I live longer by getting those. So you're saying that

887
00:41:27,560 --> 00:41:28,360
Speaker 1: that's all nonsense.

888
00:41:28,480 --> 00:41:31,600
Speaker 3: No, I'm saying mass screening colonospies actually have some of

889
00:41:31,640 --> 00:41:34,560
Speaker 3: the highest effectiveness of anything to do. It gets crazy effective.

890
00:41:35,520 --> 00:41:37,160
Speaker 1: But you think I should not do any other test.

891
00:41:38,840 --> 00:41:39,640
Speaker 1: Fingers up my butt.

892
00:41:39,719 --> 00:41:42,759
Speaker 3: No, I just think. But it's just this misunderstanding of

893
00:41:42,920 --> 00:41:45,000
Speaker 3: like what leads to better health. Like most of what

894
00:41:45,239 --> 00:41:49,720
Speaker 3: was said is fifty percent genetics. Probably fifty fifty percent

895
00:41:49,840 --> 00:41:51,880
Speaker 3: is you know, sort of environmental. But most of that

896
00:41:52,520 --> 00:41:56,480
Speaker 3: we solved, not solved. We dealt we we dealt with

897
00:41:56,920 --> 00:42:00,200
Speaker 3: eighty years ago with antibiotics, the food supply. Why are

898
00:42:00,280 --> 00:42:02,040
Speaker 3: all this kind of stuff and the rest we're just

899
00:42:02,080 --> 00:42:03,320
Speaker 3: screwing around at the margins.

900
00:42:03,440 --> 00:42:06,400
Speaker 2: This is the thing that Paul saying, like the the

901
00:42:06,560 --> 00:42:10,279
Speaker 2: mass screenings, the peter A Tia supplements. I mean, it's

902
00:42:10,320 --> 00:42:14,839
Speaker 2: not just peter A Tia, the crazy supplement industry, which

903
00:42:14,920 --> 00:42:17,600
Speaker 2: is some Every time I see the number for the

904
00:42:17,640 --> 00:42:20,680
Speaker 2: amount of money, the amount of money that's spent on

905
00:42:20,800 --> 00:42:23,520
Speaker 2: supplements in the US, it's insane.

906
00:42:23,920 --> 00:42:26,320
Speaker 1: There's four point four trillion.

907
00:42:26,880 --> 00:42:30,680
Speaker 2: Paul saying proportionally it has zero impact.

908
00:42:30,800 --> 00:42:33,920
Speaker 1: Yes, that I understand. I think longevity I would disagree

909
00:42:33,920 --> 00:42:37,920
Speaker 1: with you on the like going to get tested for things,

910
00:42:38,000 --> 00:42:39,880
Speaker 1: but that's okay. We can agree to disagree.

911
00:42:40,320 --> 00:42:40,879
Speaker 3: You're just wrong.

912
00:42:44,000 --> 00:42:45,920
Speaker 1: Have you ever said the other way? Have you ever

913
00:42:46,000 --> 00:42:47,160
Speaker 1: just said, well, I'm just wrong?

914
00:42:47,360 --> 00:42:47,920
Speaker 3: Oh all the time?

915
00:42:48,280 --> 00:42:52,120
Speaker 2: What about? Says he's regular Paul irregularly admits he's wrong

916
00:42:52,600 --> 00:42:53,080
Speaker 2: all the time.

917
00:42:53,440 --> 00:42:57,840
Speaker 6: When to me in private, quietly in the dark, just

918
00:42:57,880 --> 00:43:02,440
Speaker 6: before we go to sleep, I roll over and say,

919
00:43:02,520 --> 00:43:06,160
Speaker 6: you know, I was wrong about that all the time.

920
00:43:06,320 --> 00:43:08,520
Speaker 3: But this is just this stuff I just find interesting

921
00:43:08,520 --> 00:43:12,160
Speaker 3: because it's how much people misunderstand, like their own health

922
00:43:12,239 --> 00:43:14,279
Speaker 3: and what makes you healthier. And they want to do

923
00:43:14,360 --> 00:43:16,399
Speaker 3: the easy stuff. They want to eat supplements because it's

924
00:43:16,440 --> 00:43:18,320
Speaker 3: less trouble than running, They want to do lots of

925
00:43:18,400 --> 00:43:20,839
Speaker 3: tests because it's less nuisance than lifting weights, these kinds

926
00:43:20,840 --> 00:43:21,200
Speaker 3: of things.

927
00:43:21,600 --> 00:43:24,640
Speaker 1: I would say that that all makes sense, that that

928
00:43:24,800 --> 00:43:26,320
Speaker 1: I that I that I agree with.

929
00:43:26,480 --> 00:43:29,520
Speaker 2: But again, I think I told you guys this one time.

930
00:43:29,760 --> 00:43:32,680
Speaker 2: It's somebody, this friend of mine said, all I went

931
00:43:32,719 --> 00:43:34,919
Speaker 2: on chat YOUBT and now I'm on this daily health

932
00:43:34,960 --> 00:43:37,040
Speaker 2: regiment and I was like, let me guess you're taking

933
00:43:37,120 --> 00:43:39,480
Speaker 2: alpha lapok acid now every day. It's like, yeah, how

934
00:43:39,520 --> 00:43:41,239
Speaker 2: do you know it's like because it suggests that for

935
00:43:41,360 --> 00:43:47,400
Speaker 2: basically and everything because it has some impact minute though

936
00:43:47,440 --> 00:43:50,680
Speaker 2: it may be on like nerve health. So so so

937
00:43:51,200 --> 00:43:53,360
Speaker 2: if you ask for a regimen, you get to like

938
00:43:53,640 --> 00:43:56,160
Speaker 2: take all these things because you asked, because you asked

939
00:43:56,200 --> 00:43:59,759
Speaker 2: for a regiment doing zero for.

940
00:44:00,120 --> 00:44:02,600
Speaker 1: One thousand, do you guys? Let me let me conclude

941
00:44:02,640 --> 00:44:06,600
Speaker 1: with a question, which is if you hit that age

942
00:44:06,680 --> 00:44:10,080
Speaker 1: seventy five, let's say, right, and you've got ten years

943
00:44:10,120 --> 00:44:11,560
Speaker 1: where you're in and out of the hospital and you're

944
00:44:11,600 --> 00:44:13,160
Speaker 1: taking this, that and the other, where you got one

945
00:44:13,239 --> 00:44:15,239
Speaker 1: year and it's just like, be done with it.

946
00:44:15,320 --> 00:44:18,279
Speaker 2: It's the best of your ever. Though, which would you

947
00:44:18,400 --> 00:44:19,279
Speaker 2: pick the best of your ever?

948
00:44:19,440 --> 00:44:21,279
Speaker 1: You do the best your ever and then just go

949
00:44:21,440 --> 00:44:22,640
Speaker 1: in the pod and press the button.

950
00:44:23,080 --> 00:44:26,040
Speaker 2: I'm going to go to Scandinavia right by one way

951
00:44:26,120 --> 00:44:29,600
Speaker 2: ticket to Stockholm or the wood little wood cart out

952
00:44:29,640 --> 00:44:32,320
Speaker 2: into the woods, hop in the pod and hit the

953
00:44:32,760 --> 00:44:33,040
Speaker 2: hit the.

954
00:44:33,200 --> 00:44:34,000
Speaker 1: Click off button.

955
00:44:34,040 --> 00:44:36,640
Speaker 3: I just feel like the POD's probably going through Ikea

956
00:44:36,680 --> 00:44:38,560
Speaker 3: where you can't actually find such that.

957
00:44:39,800 --> 00:44:42,640
Speaker 2: That's actually the great, great, great joke about the pod.

958
00:44:42,920 --> 00:44:48,320
Speaker 2: The button says on yeah, yeah, that's no.

959
00:44:48,400 --> 00:44:50,120
Speaker 3: I obviously be the same, can wouldn't.

960
00:44:49,760 --> 00:44:51,680
Speaker 1: You, Yeah, I would. I wouldn't. I wouldn't want to

961
00:44:51,840 --> 00:44:52,560
Speaker 1: hate hospitals.

962
00:44:52,560 --> 00:44:54,279
Speaker 2: I don't even like going visiting people in.

963
00:44:54,239 --> 00:44:57,360
Speaker 1: The hospital's the worst, y so depressing.

964
00:44:58,440 --> 00:44:59,280
Speaker 3: A lot of sick people.

965
00:45:01,200 --> 00:45:03,800
Speaker 1: Yeah I would, I would, I would. Yeah, I wouldn't

966
00:45:03,840 --> 00:45:04,440
Speaker 1: want to go through that.

967
00:45:04,760 --> 00:45:06,440
Speaker 3: But you know what, this is the thing, and I've

968
00:45:06,480 --> 00:45:09,000
Speaker 3: seen this now with aging relatives, is everyone says that,

969
00:45:09,440 --> 00:45:11,520
Speaker 3: but then when the time, of course, it's scared.

970
00:45:11,360 --> 00:45:14,239
Speaker 2: Time comes, You're like, I'm gonna turn it around next month,

971
00:45:14,560 --> 00:45:15,040
Speaker 2: You'll see.

972
00:45:15,080 --> 00:45:16,040
Speaker 3: I gotta wait this out.

973
00:45:16,560 --> 00:45:19,200
Speaker 2: I remember when my grands it's gonna grow back.

974
00:45:19,480 --> 00:45:19,680
Speaker 3: Yeah.

975
00:45:22,040 --> 00:45:25,520
Speaker 1: I remember my grandfather he was ninety and dying and

976
00:45:26,400 --> 00:45:28,040
Speaker 1: and he was like, if on and they can fix this,

977
00:45:28,120 --> 00:45:29,840
Speaker 1: then I'll just I'll have a I'll just get to

978
00:45:29,920 --> 00:45:32,000
Speaker 1: live a really long life. And I was like, how

979
00:45:32,120 --> 00:45:32,720
Speaker 1: much longer?

980
00:45:33,239 --> 00:45:33,399
Speaker 4: There?

981
00:45:33,840 --> 00:45:34,040
Speaker 2: There?

982
00:45:35,560 --> 00:45:37,319
Speaker 3: Right, you're at the end, You're at the front, You're

983
00:45:37,360 --> 00:45:38,319
Speaker 3: at the final front here.

984
00:45:38,760 --> 00:45:39,000
Speaker 2: Yeah.

985
00:45:39,160 --> 00:45:41,319
Speaker 3: I just it's one of those things where people, I think,

986
00:45:41,520 --> 00:45:43,000
Speaker 3: give different answers depending where.

987
00:45:42,880 --> 00:45:45,880
Speaker 1: They are, and that makes sense. I think you probably

988
00:45:45,920 --> 00:45:47,200
Speaker 1: get to the end and you don't want to think

989
00:45:47,239 --> 00:45:50,400
Speaker 1: about your loved ones and you think I'm not pressing

990
00:45:50,440 --> 00:45:51,160
Speaker 1: the on button yet.

991
00:45:51,360 --> 00:45:53,920
Speaker 3: What's that there's a line from isn't it from Rosenkrantz

992
00:45:53,960 --> 00:45:55,879
Speaker 3: and Guildenstern, And it's wife at a box is better

993
00:45:55,960 --> 00:45:58,040
Speaker 3: than the wife at all. It's a lot like that, right,

994
00:45:58,080 --> 00:46:00,480
Speaker 3: I'd rather be locked in a coffin, then well it's

995
00:46:00,640 --> 00:46:03,480
Speaker 3: beat skill turnative be still turn but.

996
00:46:03,560 --> 00:46:05,720
Speaker 2: Then you wouldn't think it continues. But then you wouldn't

997
00:46:05,719 --> 00:46:07,520
Speaker 2: know then would you subscribe?

998
00:46:08,400 --> 00:46:10,040
Speaker 1: Do you want to wrap this one up and say

999
00:46:10,080 --> 00:46:12,359
Speaker 1: this has been another episode of the or you want

1000
00:46:12,360 --> 00:46:14,239
Speaker 1: me to do it? Uh?

1001
00:46:15,160 --> 00:46:19,000
Speaker 2: I like introducing and hopefully we work out. Not really

1002
00:46:19,040 --> 00:46:22,600
Speaker 2: an outro guide he used to warm the crowd out.

1003
00:46:22,880 --> 00:46:25,800
Speaker 1: Yeah, like coming on, I feel like, let's let's have

1004
00:46:25,880 --> 00:46:26,759
Speaker 1: Paul wrap this one up.

1005
00:46:26,800 --> 00:46:29,440
Speaker 3: This has been another episode of the Nick, Dick and

1006
00:46:29,520 --> 00:46:31,560
Speaker 3: Paul Show. Stay tuned for more the next time we

1007
00:46:31,640 --> 00:46:32,000
Speaker 3: do one of.

1008
00:46:32,000 --> 00:46:35,160
Speaker 1: These things, it's not stay tuned for more because it's over.

1009
00:46:36,080 --> 00:46:38,040
Speaker 2: Just the end of our lives. Who's doing the out

1010
00:46:39,480 --> 00:46:41,880
Speaker 2: editing my out don't forget to like subscribe and comment

1011
00:46:42,040 --> 00:46:43,239
Speaker 2: and yeah, I.

1012
00:46:43,239 --> 00:46:44,879
Speaker 3: Hate when people talk like that. It makes me think

1013
00:46:45,160 --> 00:46:47,240
Speaker 3: I should definitely not like subscriber comment.

1014
00:46:49,719 --> 00:47:00,520
Speaker 1: That's a wrap f