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Speaker 1: Also media, Hello and welcome to Better Offline. I'm your

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Speaker 1: host ed Zytron. Buy a T shirt, subscribe to the

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Speaker 1: premium newsletter, pledge yourself to the Zitron's graveyard Smash. And

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Speaker 1: this is of course hater season, and we're joined by

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Speaker 1: two of the greatest haters to ever do it Victoria's

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Speaker 1: song of the Verge.

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Speaker 2: Hello, and I hate things that's.

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Speaker 1: Right, And of course Alex Alex Kranz and that's just

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Speaker 1: I'm kidding. That's that is just me flawlessly saying the

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Speaker 1: word Alex.

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Speaker 3: I hated it. That was the worst pronunciation of my

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Speaker 3: name ever, But I think it works for the for

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Speaker 3: the show today.

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Speaker 1: It works for the show. And also people say my

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Speaker 1: name wrong all the time, so I need to get

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Speaker 1: one ron right. Ed ron z xytronn Zytron is the

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Speaker 1: most that one. I'm just like, do you pronounce everything

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Speaker 1: like the word high? Anyway, Victoria, we'll start with you

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Speaker 1: because you told me beforehand you hate the wood wellness.

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Speaker 1: I'd love to understand why.

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Speaker 2: We had to start with like a soul cleansing breath

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Speaker 2: like they do in those wellness studios that you sometimes

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Speaker 2: get yoga in. But yeah, so Normally my beat is

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Speaker 2: wellness and health, not wellness wearables in health tech, and

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Speaker 2: that is increasingly now being co opted by the word wellness,

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Speaker 2: which is nina is ten times agrift. And so my

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Speaker 2: job has become someone who it's changed from someone who

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Speaker 2: evaluates technology to someone who is like, is this snake oil?

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Speaker 2: Oh my god, it's snake oil. Let me explain why

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Speaker 2: it's snake oil.

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Speaker 3: All they want.

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Speaker 2: Your piss and your pee and everything is dystopian and oh,

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Speaker 2: maga is involved now, okay, well maha, and just all

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Speaker 2: the news on my beat is just like, Okay, what

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Speaker 2: if we didn't what if we didn't.

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Speaker 1: Go like.

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Speaker 2: A full sixty miles per hour zero to sixty into

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Speaker 2: snake oil. What if we didn't do that? What if

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Speaker 2: we didn't do that? What if we what if we

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Speaker 2: didn't do that? What if what if we didn't take

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Speaker 2: advantage of the fact that our healthcare system shit and

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Speaker 2: people have a lot of health anxiety and when they

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Speaker 2: go to doctors they don't feel listened to. That you know,

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Speaker 2: we could actually get proper medical care in this country

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Speaker 2: and uh not rely on big tech who wants to

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Speaker 2: monetize you and your your ailments. With the guise of

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Speaker 2: being an alternative to actual doctors with medical training.

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Speaker 3: Is it is it that they they want to just

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Speaker 3: use us all as like little parts in their expense reports.

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Speaker 3: We take it back because they just want to make

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Speaker 3: money off of us, Yeah? Or is it because they

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Speaker 3: can't read science literature and they get to all of it?

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Speaker 1: Why not? Both? It's all of it.

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Speaker 2: It's just all of it, all of it all at once.

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Speaker 2: There's just like so many examples of it happening, and

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Speaker 2: it feels like it's ramping up to the point where

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Speaker 2: I feel insane. So like when when I was on

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Speaker 2: your show at CEES, I was talking about gray market

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Speaker 2: peptides and how people are injecting themselves with unapproved reda

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Speaker 2: True Tide, which is a not yet approved drug, but

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Speaker 2: they're buying it off or they're buying what they say

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Speaker 2: is red a True Tide off of TikTok and all

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Speaker 2: of these gray market sellers, and I'm just like, I'm

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Speaker 2: like fairly certain that what you're getting is not actually

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Speaker 2: red a True Tide based on like I don't know

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Speaker 2: how drug production works because I've talked to pharmacists and

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Speaker 2: you know, interviewed people.

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Speaker 1: So generally, it feels like random people on TikTok are

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Speaker 1: not usually like able to access things of this nature,

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Speaker 1: like just like just a random general, random person just walking.

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Speaker 2: Around just generally speaking. If you know, nurse practitioners are

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Speaker 2: real registered nurses are you know, there's all these different

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Speaker 2: types of nurse categories, and some of them are legitimate

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Speaker 2: and have a lot of you know, they're able to

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Speaker 2: prescribe medicines, they're able to talk you through those things.

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Speaker 2: And some of them are like little Sally Joe Johnson

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Speaker 2: from some place who just put a lot of letters

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Speaker 2: after her name and is actually like a wellness guru.

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Speaker 2: But she's saying like, based on the science and the research,

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Speaker 2: and I can tell she has not done the science

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Speaker 2: and the research because when she is reconstituting a peptide,

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Speaker 2: she has not disinfected her hands while she rolls the

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Speaker 2: stuff on her very dirty kitchen counter, which are videos

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Speaker 2: that I've seen, videos I've seen.

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Speaker 3: Yeah, we're gonna say, I'm upset that you're talking about

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Speaker 3: my primary care physician that way, Like she works really

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Speaker 3: really hard to give me all sorts of things that

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Speaker 3: I know are real and not saltwater, and I inject

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Speaker 3: them into my body. I look and feel I haven't

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Speaker 3: been ensured since you know, a Democrat was in power.

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Speaker 3: I mean, what's what's the problem here?

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Speaker 2: I mean, there's a lot of problems here, not least

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Speaker 2: the grifters. Like there are real people online who are

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Speaker 2: medical professionals, nurses, doctors, pharmacists who are giving decent medical information.

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Speaker 2: I only know which one's decent, though, because I do

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Speaker 2: this for a living. I think if you're the average person,

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Speaker 2: you can see a lot of stuff together and some

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Speaker 2: of it is true, and it's put next to stuff

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Speaker 2: that is not true, and so by then it looks

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Speaker 2: a lot smarter. Like I just did. I'm trying out

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Speaker 2: this thing in my newsletter optimizer that I'm like, it's

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Speaker 2: not called this, but I think of them as wellness

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Speaker 2: marketing report cards. And I just did AG one, which

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Speaker 2: you've heard on every podcast ad known to man.

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Speaker 1: I don't know what it is.

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Speaker 3: Brought to you.

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Speaker 2: Have you ever heard of athletics screens? It's AG one.

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Speaker 2: It's a greens powder, like green powder. Yes, basically, would

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Speaker 2: you like your ppe to be expensive? Because that's what

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Speaker 2: it is, A supplement made from like a proprietary blend

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Speaker 2: of ground up vegetables and some buzzwords like adaptogens and all.

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Speaker 1: That, and that doesn't does it not even give you

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Speaker 1: the nutritional benefits of vegetables?

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Speaker 2: I mean it, I mean the fiber content is like

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Speaker 2: two grams of fiber for a serving, which is not

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Speaker 2: that much fiber.

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Speaker 1: Honestly, Yeah, I feel like you can get.

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Speaker 2: More fiber from that. But you know, like, I'm not

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Speaker 2: saying that if you want to drink your daily greens

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Speaker 2: because it's gonna get you in the habit and the

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Speaker 2: mindset of doing something healthier for yourself later on in

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Speaker 2: the day, there's no harm with that. But if you

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Speaker 2: go to their research page and their marketing site, they're

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Speaker 2: gonna say the next generation of AG one is clinically backed.

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Speaker 2: What does that mean? Clinically backed does not mean what

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Speaker 2: you think it means. It's not for a supplement. Do

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Speaker 2: you know what a supplement is? It's not regulated by

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Speaker 2: the fd fucking A. It's not regulated.

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Speaker 1: It would Hugh Jackman lied to me, because.

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Speaker 2: Yes, Hugh Jackman fucking lied to you because he's dancing

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Speaker 2: on the AG one fucking things. He's saying superfood. Do

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Speaker 2: you know what superfood is? It's a marketing label. It's

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Speaker 2: not a scientific term. It's a marketing label. All it

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Speaker 2: means it's a nutrient. It's a nutrient dense food. That's

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Speaker 2: all that that means. It's a marketing label.

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Speaker 4: This is.

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Speaker 1: No. But this is the thing. It's like, it's so

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Speaker 1: number one. Do to recommend it? Brand means nothing. I'm

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Speaker 1: guessing which doctors, well war Victoria's so.

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Speaker 2: Suberman, don't trust doctor Huan.

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Speaker 1: You know, I had a I had a.

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Speaker 5: No.

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Speaker 2: I had a doctor who said, hey, have you listened

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Speaker 2: to the Huberman podcast? And guess what I did? I

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Speaker 2: fired them as an I found a new doctor. I

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Speaker 2: didn't say you're fired, but I was like, I can't

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Speaker 2: trust you if you believe that man who basically also

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Speaker 2: partners with ag one to make AgZ, which is like

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Speaker 2: a sleep thing. And it's just okay, look, okay, So

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Speaker 2: I went through I went through their clinical studies, their

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Speaker 2: quote unquote clinical studies.

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Speaker 1: Well, did you say, so, here's the thing, good.

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Speaker 2: Here's the thing. When you have a drug or a

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Speaker 2: medical treatment, it goes through clinical trials to make sure

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Speaker 2: it's efficacious and safe and to find out what the

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Speaker 2: efficacious dose is. This is a supplement. It is not regulated,

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Speaker 2: this is not required. So they're just doing voluntary clinic

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Speaker 2: clinical studies to show marketing because it's like, hey, guess

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Speaker 2: what we saw an improvement in the gut microbiome and

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Speaker 2: all this other shit, which is like, again, your your

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Speaker 2: gut is your second brain. Your gut and your brain

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Speaker 2: talk to each other. It can affect your condition and

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Speaker 2: your mood if you don't have the proper amount of

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Speaker 2: gut bacteria in there that we have research saying this, okay,

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Speaker 2: And so they're going, well, we got h strains of

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Speaker 2: probiotics in in AG one. This is the original formula.

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Speaker 2: Because their website is very very trickly tricksly laid out,

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Speaker 2: and so I go there and I go like, okay,

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Speaker 2: let me look at this pure research. You look at

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Speaker 2: the graphs and this pure research that's linked there. Well,

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Speaker 2: first of all, the sample size is twenty like what

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Speaker 2: thirty people?

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Speaker 1: Negligible? No, But just for the psyke of argument, how

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Speaker 1: many people do you generally want in a clinical trial

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Speaker 1: ten per statistically?

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Speaker 2: Statistically you like one hundred and five or so, like

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Speaker 2: one hundred people. We sometimes see that in the clinical

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Speaker 2: trial you want as many people that will be statistically

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Speaker 2: significant for the population that you're studying, So.

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Speaker 1: You need a ton of paper.

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Speaker 2: People is not significant. Thirty people is not significant.

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Speaker 3: What is the population they're selling to everyone who might

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Speaker 3: have tummy problems?

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Speaker 6: Oh?

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Speaker 3: I was like, if it's like dumbasses who exclusively get

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Speaker 3: their medical advice from commercials on their Instagram and TikTok.

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Speaker 2: That's still the higher population than thirty people to be sick.

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Speaker 2: I was excusing the ability to speak. I can't say

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Speaker 2: statistically because I'm so mad. Listen, Okay, So I go

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Speaker 2: through their little I go through their little study. You

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Speaker 2: have to go through the methodology. They're saying, double blind,

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Speaker 2: placebo controlled. Okay, that's great, gold standard shore whatever. Thirty people. Hmm,

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Speaker 2: let me look at the graphs, you know, what's the

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Speaker 2: graphs of the placebo and the pre and post ag

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Speaker 2: one use usage. Statistically, the bars are the same. Is

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Speaker 2: the change in the gut?

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Speaker 1: But Michael Biome in.

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Speaker 2: The room with us, No, it's not nothing. Oh they

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Speaker 2: pooped a little more, well, I should hope.

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Speaker 3: So if you have.

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Speaker 1: Fiber, if you are if you if you want to

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Speaker 1: like have a gut, just have some Greek yoga in

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Speaker 1: the morning, change my life.

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Speaker 2: Oh you know what kills me?

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Speaker 6: Kill me?

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Speaker 3: You own you want to kill me?

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Speaker 2: The line that said there was like an increase in

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Speaker 2: these two strains of pro biotics because it's an ingredient

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Speaker 2: and agy one.

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Speaker 1: Wait, so they increased they measured something that they were

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Speaker 1: adding dowk.

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Speaker 2: Yeah, that's like saying we found we found corn in

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Speaker 2: your poop because you ain't corn.

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Speaker 1: That's so cool. That's the thing. I get targeted with

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Speaker 1: these like mushroom coffee things, or melotonin coffee or sleep coffee,

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Speaker 1: like weird hot chocolate shit on it. There was a

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Speaker 1: period when that was all they targeted me with and

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Speaker 1: it didn't do shit. I do. I refuse to do it.

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Speaker 1: I'm not paying thirty dollars for like five hot chocolate's

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Speaker 1: go fuck yourself. It's disgusting.

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Speaker 3: Yeah. I spent four dollars on bioten and it didn't

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Speaker 3: do anything for my nails.

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Speaker 2: Here's here's the thing. Supplements are not regulated, So is

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Speaker 2: the supplement that you're actually getting actually the supplement in

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Speaker 2: an efficacious amount. I don't fucking know. I took iary

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Speaker 2: blend if it's a proprietary blend like ag one uses

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Speaker 2: proprietary blend. You don't know how much of each thing

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Speaker 2: is in there. You just don't.

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Speaker 1: You don't.

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Speaker 2: It's listen, if you're going to have greens powder because

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Speaker 2: you want to kickstart your day and you want to

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Speaker 2: have like a a healthy habit to start your day with,

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Speaker 2: go off, queen. I love that for you. But to

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Speaker 2: call it clinically backed, I find disingenuous. And I see

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Speaker 2: a lot in wellness.

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Speaker 3: It's always there. They are the ones set back to

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Speaker 3: the study, right, like, we see this all.

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Speaker 2: Did pay for the study. They've paid for it.

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Speaker 3: All the fake meats said we're going to be the healthiest,

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Speaker 3: We're going to be the best, We're going to be

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Speaker 3: so good for you. And it was like, oh, who

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Speaker 3: did the study?

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Speaker 4: We did?

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Speaker 3: Oh did you do any studies that you didn't directly

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Speaker 3: pay for?

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Speaker 2: No, I want to be fair. They did publish in

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Speaker 2: peer reviewed journals, and nine out of ton times you

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Speaker 2: are going to see people at least partially found the study.

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Speaker 2: Because it's very hard, especially in this climate, to get

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Speaker 2: research funding for a truly independent, peer reviewed study that's

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Speaker 2: third party, that has no affiliation with the company and

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Speaker 2: company at all. That's you know, it's it's good to

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Speaker 2: look at it holistically with making sure they have really

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Speaker 2: good methodology and you know that their findings make fucking

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Speaker 2: sense and based on their marketing, so like, if if

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Speaker 2: they were to be super honest about what they found,

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Speaker 2: it would be like, you're not going to die from

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Speaker 2: having AG one and there's a potential that you might

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Speaker 2: see some benefit.

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Speaker 1: Well, i'm reading here that, but it is what is

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Speaker 1: a nutritional gap because it claims that there is a nutrient.

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Speaker 1: It helps they demonstrate a statistically significant and positive impact

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Speaker 1: on closing common nutrient gaps. It's just this just means

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Speaker 1: you didn't have enough of the nutrient.

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Speaker 2: Yes, So it's like, so this is what else pisses

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Speaker 2: me off, So that that marketing site is just like

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Speaker 2: the next gen of AG one is clinically backed, And

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Speaker 2: then you scroll all the way down to the peer

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Speaker 2: reviewed studies and you're like, oh, look look at these

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Speaker 2: published peer reviewed studies. That is for the old formula

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Speaker 2: of AG one, and all those statistics that you just

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Speaker 2: saw on that that's for the new formulation of AG one.

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Speaker 2: Guess how many peer reviewed published studies they have on

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Speaker 2: that Zero because they only have abstracts that have been

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Speaker 2: presented and like abstracts, Like I'm going through the abstracts

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Speaker 2: and it's just like the sample sizes. I think the

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Speaker 2: largest sample size is like one hundred and twenty people,

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Speaker 2: but most of them are like twenty four people who

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Speaker 2: are healthy.

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Speaker 3: So is this kind of like okay, FDA approval grift

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Speaker 3: in wearables?

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Speaker 2: Okay, First of all, wearables are not FDA approved. They

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Speaker 2: are FDA cleared because we approved.

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Speaker 3: That's what I mean.

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Speaker 1: It's how different all right now, Victoria got explain sorry.

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Speaker 2: Because it's a marketing thing. Basically, you're just saying that

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Speaker 2: it's adhered to a certain degree of safety and protocols.

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Speaker 2: So yes, you're going to be hipocompliant. If you're FDA cleared,

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Speaker 2: you are going to have done and some testing to

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Speaker 2: make sure it's safe. And you only require this kind

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Speaker 2: of clearance for class I believe class two medical devices

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Speaker 2: or higher. Class two means intermediate risk. Class three is

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Speaker 2: just like, oh, there's a significant risk in using this.

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Speaker 2: And Class one is like a tongue depressor. So you

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Speaker 2: have some Class one medical devices that are like the

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Speaker 2: little stick that the doctor sticks in your mouth when

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Speaker 2: you go like that. That's a Class one medical device

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Speaker 2: in some cases, and those are just FDA listed the

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Speaker 2: like class one FDA listed, Class two FDA cleared, and

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Speaker 2: then you have stuff like drugs which must be FDA approved,

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Speaker 2: so there is like a nuance to those particular meanings.

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Speaker 2: But with wearables to get the clearance process, it's for

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Speaker 2: stuff like screening. Right, So like you get an AKG

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Speaker 2: and it says we're not diagnosing you with atrial fibrillation.

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Speaker 2: But homeboy, maybe go to a doctor and see if

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Speaker 2: these things make sense. That is a cleared generally an

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Speaker 2: FDA cleared feature because it's either a class that's a

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Speaker 2: class two feature basically, is what they're saying. Now, if

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Speaker 2: you don't want to do that, because it's a very

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Speaker 2: expensive process, you just go it's wellness. Wellness isn't regulated

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Speaker 2: because it's for your information only. Education is fun. So whoop.

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Speaker 2: A couple of months ago, they had this blood pressure

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Speaker 2: feature that they came out, and the way that this

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Speaker 2: feature looked, it looked like it was telling you your

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Speaker 2: sisterly and your diastolic and your systolic reading and telling

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Speaker 2: you whether your blood pressure was high, medium, or low.

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Speaker 2: And the FDAY was like ha ha, no, you did

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Speaker 2: not go through the clearance process for this. You're telling

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Speaker 2: people what their blood pressure is, and was like, ha ha, No,

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Speaker 2: this is a wellness feature. It's just for your education.

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Speaker 2: This wasn't meant to give you a reading. And the

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Speaker 2: FDA was like, it kind of looks like a reading.

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Speaker 2: It kind of looks like you're giving a diagnostic judgment.

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Speaker 2: So that needs to go through the clearest process, and

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Speaker 2: uh whoop, was like, haha, we disagree, innovation. Yeah, And

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Speaker 2: so then I just read a story on Political Today

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Speaker 2: that Aura, the smart ring maker, is now a lobbying

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Speaker 2: in Washington to get a third category of devices, like

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Speaker 2: a separate third category of classification called digital health screeners

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Speaker 2: that wouldn't go through the very cumbersome clearance process, but

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Speaker 2: would uh be more legitimate wellness. So uh yeah, that

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Speaker 2: makes sense, though I don't know that with the AURA,

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Speaker 2: I don't know that that's going to make things clear

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Speaker 2: or easier. I don't know, you know.

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Speaker 3: I like, I think, I think for the customer, for

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Speaker 3: the for the consumer, we need a total radical rethinking

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Speaker 3: of all of this because it's gotten completely like the

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Speaker 3: plot a thing. I think for the companies making a

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Speaker 3: third device that's like, here are things that can identify

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Speaker 3: but should never ever be taken by themselves, should always

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Speaker 3: be used in contact with the doctor, like the ORR

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Speaker 3: ring or the whoop band for blood pressure. I'm like

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Speaker 3: that kind of makes sense.

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Speaker 2: It's just the line is already blurry.

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Speaker 3: I'm not hating enough.

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Speaker 1: Sorry, I feel is.

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Speaker 2: Already blurry between wellness. What is a wellness? Like the

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Speaker 2: blood pressure I'm not the blood pressure, the blood oxygen

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Speaker 2: reading on your Apple Watch? What is that? Is that

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Speaker 2: FDA cleared or is that a wellness?

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Speaker 1: I think that anything that measures your body should have

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Speaker 1: to be far more rigorously checked because I have a

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Speaker 1: different reading on my or ring, my Apple watch, my headphones,

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Speaker 1: everything seems different. If I was relying on this information

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Speaker 1: for anything other than punishing myself, I would be very worried,

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Speaker 1: Like if I was sick in some way. Oh yeah, also,

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Speaker 1: or this whole or being able to check if I'm sick.

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Speaker 1: Thing it is never caught.

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Speaker 3: It it has been caught when I was really depressed once.

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Speaker 1: I'm sorry, I I shouldn't laugh at that, But what

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Speaker 1: did you say?

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Speaker 3: Circle? No, it just it's I gotta I got a

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Speaker 3: note and like I'm in bed at two o'clock in

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Speaker 3: the afternoon, because you know, depressed sleeping, and I get

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Speaker 3: a note and it's like, oh, you're having major symptoms.

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Speaker 3: I'm like, yeah, no, shit, sirlock, I haven't gotten out

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Speaker 3: of bed today. Thank you for joining. But like it

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Speaker 3: just said my temperature.

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Speaker 2: It's caught when I was coming down with something once

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Speaker 2: and then it caught when I was incredibly anxious another time.

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Speaker 2: I was just like, oh, you think I'm sick, Well,

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Speaker 2: I'm sick with anxiety. One time, I'm just I'm just.

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Speaker 3: I love it. I loved it when it was like, no,

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Speaker 3: you're deathly sick, and I'm like, no, I'm just depressed.

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Speaker 3: But honestly, thank you. Thank you for seeing depression as

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Speaker 3: an illness or you were just like it wasn't intentional. Yeah,

377
00:19:43,160 --> 00:19:44,800
Speaker 3: then I got out of bed. That's great.

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00:19:45,080 --> 00:19:47,240
Speaker 1: Yeah, that was because it said you needed to stand.

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Speaker 3: Up pretty much. I got like the text and I

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Speaker 3: was like.

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Speaker 1: Every time I see that note being like you need

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Speaker 1: to stand up, I genuinely want to fuck off every time.

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Speaker 1: How dare you my ass goes with my ass? I've

384
00:20:00,280 --> 00:20:01,200
Speaker 1: never seen No.

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Speaker 2: I'm currently standing up because I've been sitting too long.

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Speaker 2: But again this is my beat. So yeah, AnyWho, wellness

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00:20:22,040 --> 00:20:23,840
Speaker 2: really fucking pisses me off.

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Speaker 1: This chat ChiPT health thing as well, Like I just

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Speaker 1: think that these companies should be in prison, all of

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Speaker 1: them for doing that stuff.

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Speaker 3: The AI companies using these things as promises to help

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Speaker 3: you get healthier mentally, physically and everything in between is

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Speaker 3: such garbage because like, let me tell you something. You

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Speaker 3: know what I've been doing for a while now, I've

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00:20:45,440 --> 00:20:47,520
Speaker 3: been messing with these AI guys. I love to have

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Speaker 3: a chat. I love to be like, hey, this is

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Speaker 3: what's going on in my life. How are we doing?

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00:20:51,800 --> 00:20:53,760
Speaker 1: How you feel good? To the chat AI?

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00:20:55,119 --> 00:20:59,119
Speaker 3: Oh yeah, I love always in like the incognitos so

400
00:20:59,160 --> 00:21:00,879
Speaker 3: that it only saves a little bit of it, and

401
00:21:00,920 --> 00:21:02,640
Speaker 3: then every time it like tells me to do something,

402
00:21:02,680 --> 00:21:04,160
Speaker 3: and when I go back and tell it the next

403
00:21:04,200 --> 00:21:05,360
Speaker 3: time in chat, it's forgotten.

404
00:21:05,359 --> 00:21:05,959
Speaker 1: And I love it.

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00:21:06,640 --> 00:21:10,479
Speaker 3: Highly recommend Incognitum, but it's terrible advice. The advice is

406
00:21:10,520 --> 00:21:13,680
Speaker 3: consistently terrible. The advice is consistently like, treat yourself better,

407
00:21:13,680 --> 00:21:14,879
Speaker 3: and it's like I haven't gotten out of bed in

408
00:21:14,920 --> 00:21:16,840
Speaker 3: three days, and it's like you're two in over. I

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00:21:16,880 --> 00:21:18,960
Speaker 3: love I mean I have, I've gotten out of bed

410
00:21:19,000 --> 00:21:22,080
Speaker 3: in three days doing great, but like you know, you'd

411
00:21:22,119 --> 00:21:24,800
Speaker 3: say something, you'd say something really extreme like that of

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00:21:24,840 --> 00:21:27,840
Speaker 3: like clearly you're not doing okay, and it's like, hey,

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00:21:28,359 --> 00:21:30,840
Speaker 3: it happens to all of us. You just sit in

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Speaker 3: bed for another week and you're like.

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Speaker 7: Claude, No, Claude, what are we doing? That's bad advice

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00:21:36,040 --> 00:21:38,880
Speaker 7: as just the kind of shit advice you could get

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00:21:38,880 --> 00:21:43,359
Speaker 7: from literally anyone. Oh, I hadn't thought about feeling better

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00:21:43,440 --> 00:21:46,719
Speaker 7: when I felt sad. I thought I've been deliberately feeling

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00:21:46,760 --> 00:21:48,679
Speaker 7: sad more because I thought that's what would make me

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00:21:48,720 --> 00:21:49,240
Speaker 7: feel better.

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Speaker 1: Thank you, chat GPT. It's just fucking And.

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00:21:53,520 --> 00:21:55,240
Speaker 3: Then when you ask it, you ask it for your

423
00:21:55,440 --> 00:21:57,840
Speaker 3: you're like, okay, I want to work on my fitness.

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00:21:58,200 --> 00:22:03,720
Speaker 3: V gives much better advice every single time. Like that's

425
00:22:03,720 --> 00:22:08,719
Speaker 3: what your your your optimizer, like fancy line should be.

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00:22:08,760 --> 00:22:10,760
Speaker 3: I don't know what those are called tagline, but it

427
00:22:10,800 --> 00:22:13,320
Speaker 3: needs to just be yeah, tagline. Your tagline needs to

428
00:22:13,320 --> 00:22:15,920
Speaker 3: be better advice than claude or open AI.

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00:22:16,200 --> 00:22:19,000
Speaker 1: Well did you see that the chat GPT ad for running?

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00:22:20,280 --> 00:22:22,520
Speaker 1: When it was like no, it was like, here's some

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00:22:22,600 --> 00:22:24,399
Speaker 1: running advice and one of it it's like run with

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Speaker 1: someone else, so you're accountable run three times a week.

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Speaker 1: It's like, fucking hell, I'm so glad we all spending

434
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Speaker 1: fifty thousand dollars a GPU on this bullshit.

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00:22:34,000 --> 00:22:35,879
Speaker 3: There was a yeah, it was like you can just

436
00:22:35,920 --> 00:22:36,879
Speaker 3: get that by Google.

437
00:22:36,920 --> 00:22:40,120
Speaker 2: There was a Wall Street Journal article about runner, which

438
00:22:40,160 --> 00:22:43,320
Speaker 2: isn't They market themselves as an AI powered running app,

439
00:22:43,320 --> 00:22:45,640
Speaker 2: and they were acquired by Strava last year. If you're

440
00:22:45,680 --> 00:22:48,840
Speaker 2: on running talk at all, you've probably seen people talk

441
00:22:48,840 --> 00:22:52,560
Speaker 2: about Runna. It's massively popular. And the Wall Street Journal

442
00:22:52,640 --> 00:22:55,359
Speaker 2: article was hilarious because it's like people are getting injured

443
00:22:55,440 --> 00:22:58,800
Speaker 2: using this because they listen to the AI and like,

444
00:22:58,880 --> 00:23:01,200
Speaker 2: I've used Runna and I have a very hard time

445
00:23:01,240 --> 00:23:03,520
Speaker 2: sticking with that app because I find the program way

446
00:23:03,560 --> 00:23:06,520
Speaker 2: too aggressive. So they came out with like a new

447
00:23:06,600 --> 00:23:11,280
Speaker 2: mode that's like, hey, we made it less aggressive because

448
00:23:11,280 --> 00:23:13,800
Speaker 2: a lot of you were getting injured and complaining. And

449
00:23:13,840 --> 00:23:16,840
Speaker 2: I was like, ha ha, it's almost like to use

450
00:23:16,920 --> 00:23:19,840
Speaker 2: runap properly, you also have to know when to ignore it,

451
00:23:20,160 --> 00:23:22,639
Speaker 2: which is not the point of what they say a

452
00:23:22,840 --> 00:23:27,000
Speaker 2: I should be. So I also hate AI and fitness.

453
00:23:28,160 --> 00:23:31,000
Speaker 1: Well, I mean yes, It's also like the thing with

454
00:23:31,080 --> 00:23:34,199
Speaker 1: fitness is even with a good routine, even with a

455
00:23:34,240 --> 00:23:36,480
Speaker 1: good like I have had to I did the same

456
00:23:36,560 --> 00:23:38,400
Speaker 1: routine for a year. I've had to pair it back

457
00:23:38,400 --> 00:23:41,399
Speaker 1: because I kept getting injured because I'm getting older. Like,

458
00:23:41,440 --> 00:23:43,880
Speaker 1: you actually have to be able to like know when

459
00:23:43,920 --> 00:23:45,520
Speaker 1: your body feels.

460
00:23:45,280 --> 00:23:49,600
Speaker 3: That's that's the worst part of it is. Yeah, Like

461
00:23:49,640 --> 00:23:51,600
Speaker 3: you want it to be like a trainer, and it

462
00:23:51,640 --> 00:23:53,440
Speaker 3: can talk, it can pretend to be well and can

463
00:23:53,480 --> 00:23:56,000
Speaker 3: it can give you that things. But the trainer is

464
00:23:56,000 --> 00:23:58,760
Speaker 3: going to go, hey, I noticed you went really hard

465
00:23:58,760 --> 00:23:59,960
Speaker 3: today and your knees in flat.

466
00:24:00,680 --> 00:24:03,919
Speaker 4: Maybe maybe for the rest of the will be like

467
00:24:04,080 --> 00:24:08,399
Speaker 4: no gain I've had every single but AI is always

468
00:24:08,440 --> 00:24:10,399
Speaker 4: going to be a bad tread yeah, because it's not

469
00:24:10,440 --> 00:24:11,280
Speaker 4: going to see it right.

470
00:24:11,920 --> 00:24:14,080
Speaker 2: It's I mean, they keep they keep saying that they're

471
00:24:14,119 --> 00:24:15,959
Speaker 2: going to make it better. I've yet to test an

472
00:24:16,040 --> 00:24:18,840
Speaker 2: AI coach that I feel would give me the advice

473
00:24:18,840 --> 00:24:21,159
Speaker 2: that I actually need. I have to I have to

474
00:24:21,200 --> 00:24:23,560
Speaker 2: sit there with myself and be like, oh, how are

475
00:24:23,560 --> 00:24:26,440
Speaker 2: we feeling today in our body? Where are we feeling pain?

476
00:24:26,520 --> 00:24:29,119
Speaker 2: Should I push it? I could push it, but what's

477
00:24:29,119 --> 00:24:31,080
Speaker 2: my goal. You know, I got to have this conversation

478
00:24:31,160 --> 00:24:34,160
Speaker 2: with myself and how many of these constantly.

479
00:24:33,680 --> 00:24:37,760
Speaker 3: AI coaches that you see are like actually programmed from

480
00:24:37,760 --> 00:24:40,399
Speaker 3: the ground up to help with this, and how many

481
00:24:40,640 --> 00:24:45,080
Speaker 3: are just large language models with like the horror one

482
00:24:45,160 --> 00:24:46,879
Speaker 3: right where it's just kind of like the large language

483
00:24:46,920 --> 00:24:50,199
Speaker 3: model with a little bit of fancy dish slapped on it.

484
00:24:50,280 --> 00:24:51,600
Speaker 3: So you're like, oh, I'm not getting gety.

485
00:24:51,640 --> 00:24:53,560
Speaker 2: Most of them are just captain obvious.

486
00:24:54,119 --> 00:24:57,280
Speaker 1: Promis problems though, because you can't really for you to

487
00:24:57,400 --> 00:25:00,960
Speaker 1: do a trainer that was a special you would have

488
00:25:00,960 --> 00:25:02,800
Speaker 1: to have a shit ton of words.

489
00:25:03,840 --> 00:25:07,520
Speaker 2: And they're also fucking chatty too. I'm just like, Jesus Christ,

490
00:25:07,600 --> 00:25:10,520
Speaker 2: you need to like give me several less paragraphs about

491
00:25:11,359 --> 00:25:12,800
Speaker 2: like I don't I don't need this shit. And then

492
00:25:12,840 --> 00:25:15,200
Speaker 2: you'll tell them like, please stop being so chatty, please

493
00:25:15,240 --> 00:25:17,080
Speaker 2: be more concise, and they're like, oh, yeah, okay, I

494
00:25:17,080 --> 00:25:21,399
Speaker 2: got it. Two prompts later, just eight hundred word essay

495
00:25:21,520 --> 00:25:22,440
Speaker 2: about your fitness.

496
00:25:22,520 --> 00:25:25,160
Speaker 3: They hear you, and they want to gently push back

497
00:25:25,200 --> 00:25:27,399
Speaker 3: on your plans for your exercising routine.

498
00:25:27,480 --> 00:25:30,640
Speaker 2: I just mean, you'll betver forget that we have different ais,

499
00:25:30,640 --> 00:25:33,560
Speaker 2: but clearly but like, it's just just.

500
00:25:33,840 --> 00:25:34,680
Speaker 3: Clod's so nice.

501
00:25:36,160 --> 00:25:38,480
Speaker 2: I refuse to let them be nice to me. I say,

502
00:25:38,520 --> 00:25:41,360
Speaker 2: they are not allowed to be complimentary beyond one percent.

503
00:25:41,720 --> 00:25:44,440
Speaker 2: I'm only allowed to get one. That's because complimenting from

504
00:25:44,480 --> 00:25:45,920
Speaker 2: these dipshit bots.

505
00:25:46,040 --> 00:25:52,280
Speaker 3: I'm using incognito mode. It remembers nothing, right, it is incredible,

506
00:25:52,640 --> 00:25:55,080
Speaker 3: so you can you'll tell it anything it's gonna forget

507
00:25:55,119 --> 00:25:57,399
Speaker 3: from the next time, so you never program it. So

508
00:25:57,440 --> 00:26:00,280
Speaker 3: Claude is always just like, hey friend, I'm just like

509
00:26:00,320 --> 00:26:03,080
Speaker 3: that one person who just sort of smiles and nods

510
00:26:03,119 --> 00:26:04,880
Speaker 3: at you a lot, and like.

511
00:26:05,080 --> 00:26:07,600
Speaker 2: That's not very helpful. All I mean, I don't know that.

512
00:26:07,520 --> 00:26:10,240
Speaker 3: It's not very helpful. I don't know. I don't love

513
00:26:10,280 --> 00:26:13,920
Speaker 3: it from like a usefulness standpoint. I love it as

514
00:26:13,960 --> 00:26:17,879
Speaker 3: like a sociological experiment. Does that make sense? I'll have

515
00:26:17,960 --> 00:26:19,680
Speaker 3: to play with it and kind of be like, oh,

516
00:26:19,720 --> 00:26:22,200
Speaker 3: what are you trying here? What are you hoping to accomplish?

517
00:26:22,359 --> 00:26:24,679
Speaker 3: But nine times out of ten it does not actually

518
00:26:24,760 --> 00:26:28,080
Speaker 3: help me. Every time I've had AI help me, try

519
00:26:28,080 --> 00:26:29,639
Speaker 3: to help me with fitness, try to help me with

520
00:26:29,680 --> 00:26:33,520
Speaker 3: sleeping better, try to help me with writing garbage garbage.

521
00:26:33,160 --> 00:26:35,560
Speaker 2: Because you're always getting regressed to the mean. And when

522
00:26:35,600 --> 00:26:37,840
Speaker 2: it comes to health, well, then we're going to go

523
00:26:37,880 --> 00:26:41,280
Speaker 2: against the wellness versus the medical thing again, because if

524
00:26:41,320 --> 00:26:44,399
Speaker 2: they're giving you diagnostic advice, they could be liable for that.

525
00:26:44,480 --> 00:26:46,320
Speaker 2: So they're only going to give you the most generic

526
00:26:46,400 --> 00:26:50,440
Speaker 2: regression to the mean wellness advice that applies to everyone

527
00:26:50,480 --> 00:26:52,800
Speaker 2: and is common sense. And it's like, well if it's

528
00:26:52,840 --> 00:26:55,280
Speaker 2: common sense, well I didn't fucking need you to tell

529
00:26:55,280 --> 00:26:58,159
Speaker 2: me it's common sense that I like. That's why a

530
00:26:58,160 --> 00:27:00,240
Speaker 2: lot of the AI fitness is just regard to hated

531
00:27:00,240 --> 00:27:03,879
Speaker 2: book reports. It's it's the AI going like, hey girl,

532
00:27:04,480 --> 00:27:06,960
Speaker 2: you ran three point one miles today and this time

533
00:27:07,359 --> 00:27:11,840
Speaker 2: that's faster than your other time, and yay, that's not

534
00:27:11,840 --> 00:27:12,600
Speaker 2: what I need from you.

535
00:27:13,320 --> 00:27:13,960
Speaker 3: Thank you, Pablo.

536
00:27:14,119 --> 00:27:15,119
Speaker 2: My cat is screaming at me.

537
00:27:15,520 --> 00:27:21,040
Speaker 1: But yeah, I just I would never tell these things

538
00:27:21,080 --> 00:27:25,960
Speaker 1: anything about myself. I just like I've naturally my autism

539
00:27:26,000 --> 00:27:27,879
Speaker 1: screen are built into my brain just for a few

540
00:27:28,119 --> 00:27:30,480
Speaker 1: it's just like I cannot trust I would never tell

541
00:27:30,480 --> 00:27:31,840
Speaker 1: a website my secrets.

542
00:27:32,440 --> 00:27:35,719
Speaker 3: Oh, I get that. I get that, and sometimes I

543
00:27:35,840 --> 00:27:39,760
Speaker 3: just do No, that's fine, And I'm like, you know what,

544
00:27:40,119 --> 00:27:43,200
Speaker 3: let's hope you never leaked the incognito mode stuff. Let's

545
00:27:43,200 --> 00:27:43,760
Speaker 3: hope you're real.

546
00:27:44,800 --> 00:27:47,080
Speaker 1: Also, are you're incogneo mode unless you're just like I'm

547
00:27:47,119 --> 00:27:49,639
Speaker 1: Alex Kranz. Let me tell you every time I'm.

548
00:27:49,520 --> 00:27:53,399
Speaker 3: Like, Hi, my name's Alex kran Hello, look me up

549
00:27:53,440 --> 00:27:55,439
Speaker 3: real fast, Okay, now let's chat.

550
00:27:56,280 --> 00:28:00,840
Speaker 1: And yeah, I just also with fit like this has

551
00:28:00,880 --> 00:28:02,280
Speaker 1: been a big part of my life for the last

552
00:28:02,280 --> 00:28:05,080
Speaker 1: few years especially, and it's like the best advice I've

553
00:28:05,119 --> 00:28:07,600
Speaker 1: got is from regular people who have been like, you're

554
00:28:07,640 --> 00:28:11,680
Speaker 1: going too hard or just stop heart hurting yourself. That's

555
00:28:11,680 --> 00:28:14,040
Speaker 1: the biggest thing. Not like I'm self harming, but like

556
00:28:14,200 --> 00:28:16,560
Speaker 1: I would push myself too far. It would always be

557
00:28:16,600 --> 00:28:19,320
Speaker 1: like my wrist hurts. It's like, well if you tried

558
00:28:19,359 --> 00:28:22,080
Speaker 1: not fucking boxing, dickhead, And it's like, I don't think

559
00:28:22,119 --> 00:28:24,400
Speaker 1: Chad Gpt would say. Mostly it's like friends of mine

560
00:28:24,440 --> 00:28:27,199
Speaker 1: being like, yeah, you need to rest because in my

561
00:28:27,280 --> 00:28:29,520
Speaker 1: ahnt in a little person here in my hand. I'm like,

562
00:28:29,520 --> 00:28:31,159
Speaker 1: I should train more, I should lose weight, Like I

563
00:28:31,240 --> 00:28:35,119
Speaker 1: push myself quite hard. A large language model telling me

564
00:28:35,160 --> 00:28:37,159
Speaker 1: anything about that isn't gonna help, partly because I'll be

565
00:28:37,200 --> 00:28:40,080
Speaker 1: like I'm not a website does not impress me, like

566
00:28:40,120 --> 00:28:43,360
Speaker 1: I don't trust your judgment. And also most of the time,

567
00:28:44,560 --> 00:28:48,560
Speaker 1: the mean advice around lifting is dog shit. I'm so sorry,

568
00:28:48,640 --> 00:28:51,120
Speaker 1: but the best lifting advice I've ever got was lift volume,

569
00:28:51,800 --> 00:28:54,320
Speaker 1: not heavy. And then people be like, oh, I like

570
00:28:54,400 --> 00:28:56,720
Speaker 1: lifting heavy things putting back down it's fine, but it's like,

571
00:28:57,080 --> 00:28:59,080
Speaker 1: does not work for a lot of people. I've met

572
00:28:59,320 --> 00:28:59,960
Speaker 1: a lot of people.

573
00:28:59,880 --> 00:29:03,200
Speaker 2: Mean, you're you're not in the in the church of

574
00:29:03,240 --> 00:29:05,560
Speaker 2: CrossFit progressive overload.

575
00:29:06,080 --> 00:29:10,320
Speaker 1: What is that? Just well, I know about CrossFit, but

576
00:29:10,360 --> 00:29:12,400
Speaker 1: I saw how they do pull ups and I just

577
00:29:12,400 --> 00:29:13,720
Speaker 1: stopped listening to them.

578
00:29:14,440 --> 00:29:16,840
Speaker 2: Okay, Like, I'm not gonna shit on CrossFit. They do

579
00:29:16,960 --> 00:29:22,080
Speaker 2: some it's very hard to It's.

580
00:29:21,960 --> 00:29:25,400
Speaker 3: A philosophy of working out that is very different from

581
00:29:25,440 --> 00:29:28,200
Speaker 3: a lot of other There we go and is it

582
00:29:28,200 --> 00:29:32,160
Speaker 3: it's really all about pushing is pushing yourself to your

583
00:29:32,160 --> 00:29:36,800
Speaker 3: physical limits, which for some people that can be a

584
00:29:36,840 --> 00:29:39,280
Speaker 3: really useful thing. If you are over the age of

585
00:29:39,320 --> 00:29:43,400
Speaker 3: thirty five, maybe be careful because you're going to hurt

586
00:29:43,400 --> 00:29:45,360
Speaker 3: your I mean, and it's like, you're the age of

587
00:29:45,400 --> 00:29:47,640
Speaker 3: thirty five, go to your cross.

588
00:29:47,440 --> 00:29:52,040
Speaker 2: I think CrossFit it has like it's because it's a franchise,

589
00:29:52,080 --> 00:29:54,440
Speaker 2: and so each CrossFit gym can be very different. I

590
00:29:54,440 --> 00:29:56,800
Speaker 2: think there's like a million different crossfits out there, and

591
00:29:56,800 --> 00:29:59,160
Speaker 2: it depends on which CrossFit person you know in your

592
00:29:59,200 --> 00:30:02,600
Speaker 2: life as to what CrossFit they do. Some of them

593
00:30:02,600 --> 00:30:05,360
Speaker 2: do the Marjorie Taylor a green version of cross CrossFit.

594
00:30:05,480 --> 00:30:07,719
Speaker 2: Some of them do a much more reasonable version of it.

595
00:30:08,920 --> 00:30:11,120
Speaker 3: I love her little pull up.

596
00:30:11,720 --> 00:30:15,200
Speaker 2: They're like kipping pull up, That's.

597
00:30:15,000 --> 00:30:18,760
Speaker 1: What I'm saying, those those weird CrossFit the ones where

598
00:30:18,760 --> 00:30:20,680
Speaker 1: you're just like, I'm gonna break my fucking nick.

599
00:30:21,800 --> 00:30:22,840
Speaker 2: Yeah, oh my god.

600
00:30:22,880 --> 00:30:24,920
Speaker 3: The little it looks like the way I would try

601
00:30:24,920 --> 00:30:26,720
Speaker 3: to do a pull up as a child and you'd

602
00:30:26,720 --> 00:30:28,560
Speaker 3: be told no, it.

603
00:30:28,440 --> 00:30:30,560
Speaker 1: Looks like not being able to do a pull up.

604
00:30:31,360 --> 00:30:32,480
Speaker 3: Yeah, that's what it looks like.

605
00:30:34,080 --> 00:30:38,120
Speaker 2: It's an interesting it's an interesting look. But yeah, no,

606
00:30:38,320 --> 00:30:40,959
Speaker 2: So it's it's the the other thing that I'm going

607
00:30:41,000 --> 00:30:44,680
Speaker 2: to get back to, the hate and thoughtfulness more hate.

608
00:30:45,440 --> 00:30:49,240
Speaker 2: I hate wellness influencers, Like not every wellness influencer. There's

609
00:30:49,240 --> 00:30:52,480
Speaker 2: some that are like not horrible and who actually talk

610
00:30:52,520 --> 00:30:56,240
Speaker 2: about science and are quite responsible and like thoughtful and

611
00:30:56,280 --> 00:30:58,840
Speaker 2: they're well in this content. They are not the majority.

612
00:30:58,920 --> 00:31:00,320
Speaker 2: The majority is just like.

613
00:31:00,960 --> 00:31:04,280
Speaker 5: Oh my god, I drink ad one every day and

614
00:31:04,360 --> 00:31:07,040
Speaker 5: I have so much energy now. Or they'll be like,

615
00:31:07,080 --> 00:31:08,640
Speaker 5: oh my god, come with what I eat in a

616
00:31:08,720 --> 00:31:10,440
Speaker 5: day and it's just disordered eating.

617
00:31:11,040 --> 00:31:12,680
Speaker 2: Or you know, they're.

618
00:31:13,320 --> 00:31:16,520
Speaker 6: Proteinting protein max and it's like, well protein is nice,

619
00:31:16,520 --> 00:31:18,560
Speaker 6: but you do need to eat your other macros and

620
00:31:19,280 --> 00:31:23,120
Speaker 6: or you know, it's just these little nuggets of science

621
00:31:23,240 --> 00:31:24,680
Speaker 6: or nutritional.

622
00:31:26,080 --> 00:31:31,760
Speaker 2: Like best practices that get buried with disordered eating habits

623
00:31:31,800 --> 00:31:34,680
Speaker 2: that get buried with pseudo science that are just like

624
00:31:35,520 --> 00:31:39,520
Speaker 2: not that helpful for people to know, but it sounds real.

625
00:31:39,760 --> 00:31:42,880
Speaker 2: And then you know, because they are your parasocial friend,

626
00:31:42,960 --> 00:31:45,640
Speaker 2: a lot of people start to trust them, and then

627
00:31:45,680 --> 00:31:48,320
Speaker 2: they start doing stupid things in their life. And these

628
00:31:48,400 --> 00:31:51,120
Speaker 2: these are all people who are just generally, by and

629
00:31:51,240 --> 00:31:55,000
Speaker 2: large miss or underserved by the healthcare system. They don't

630
00:31:55,000 --> 00:31:56,640
Speaker 2: want to go to a doctor who's going to dismiss

631
00:31:56,680 --> 00:32:00,000
Speaker 2: their pain for the bazillions time because that's the only

632
00:32:00,080 --> 00:32:03,440
Speaker 2: thing that's affordable in their insurance network. But I just

633
00:32:03,520 --> 00:32:08,040
Speaker 2: really hate that one. Influencers, whether they mean to or not.

634
00:32:08,200 --> 00:32:10,560
Speaker 2: I'm sure some of them are well meaning. Whatever they

635
00:32:10,640 --> 00:32:15,080
Speaker 2: are profiting off of your discomfort and your search for

636
00:32:15,160 --> 00:32:17,560
Speaker 2: something that's more affordable. I hate that because a lot

637
00:32:17,600 --> 00:32:19,600
Speaker 2: of them don't take the time to do their due diligence,

638
00:32:19,600 --> 00:32:22,920
Speaker 2: and so they're taking sponsored money from these powders that

639
00:32:23,000 --> 00:32:25,880
Speaker 2: you don't need objectively, but saying, oh my god, this

640
00:32:25,960 --> 00:32:28,960
Speaker 2: is how I cured everything holistically because I have to

641
00:32:29,000 --> 00:32:31,840
Speaker 2: eat clean. What is eating clean? What does wash your

642
00:32:31,880 --> 00:32:37,160
Speaker 2: fucking vegetable? Like just eating healthy? But they're like, I

643
00:32:37,200 --> 00:32:40,320
Speaker 2: eat clean, I don't eat processed foods. I don't eat sugar.

644
00:32:40,440 --> 00:32:42,400
Speaker 2: I don't eat this. And you know a little bigger

645
00:32:42,400 --> 00:32:48,400
Speaker 2: and moderation is fine sugar everyone, or it's people who

646
00:32:48,440 --> 00:32:51,680
Speaker 2: say like, oh my god, fruit has a high glycemic index,

647
00:32:51,720 --> 00:32:52,479
Speaker 2: so it's bad for you.

648
00:32:52,520 --> 00:32:56,280
Speaker 3: It's a fucking fruit, Like it's fine. I once had

649
00:32:56,280 --> 00:33:00,520
Speaker 3: a doctor. I was with a diabetic patient who's a

650
00:33:00,520 --> 00:33:02,560
Speaker 3: family member, and I was once with them and the

651
00:33:02,600 --> 00:33:04,680
Speaker 3: doctor was like, they can never eat a banana. And

652
00:33:04,680 --> 00:33:06,080
Speaker 3: I was like, what if their blood sugar is low

653
00:33:06,760 --> 00:33:09,240
Speaker 3: that they can eat a banana? And I'm like, okay,

654
00:33:09,240 --> 00:33:11,560
Speaker 3: so they just die like they can eat it. They

655
00:33:11,600 --> 00:33:13,280
Speaker 3: can eat a banana, they just shouldn't eat it if

656
00:33:13,280 --> 00:33:15,440
Speaker 3: their blood sugar is high or they're not, you know,

657
00:33:15,480 --> 00:33:20,000
Speaker 3: thinking about it, But who is as culpable. Is it

658
00:33:20,240 --> 00:33:23,880
Speaker 3: these fitness influencers or is it the entire industry, including

659
00:33:23,960 --> 00:33:27,880
Speaker 3: the Googles and the YouTube in the higher industry.

660
00:33:28,080 --> 00:33:30,960
Speaker 1: I actually think it's one abstraction higher, which ties into

661
00:33:31,000 --> 00:33:35,120
Speaker 1: AI as well, which is yes, everyone wants a simple solution.

662
00:33:35,960 --> 00:33:38,960
Speaker 1: They want to work out a way to lose weight

663
00:33:39,040 --> 00:33:42,760
Speaker 1: that is not working out consistently and eating less calories.

664
00:33:43,120 --> 00:33:45,160
Speaker 1: Though I realized it's not even as flat as that,

665
00:33:45,320 --> 00:33:49,200
Speaker 1: because everyone's body is kind of different. They want something

666
00:33:49,200 --> 00:33:51,360
Speaker 1: that will give them a quick answer without them learning anything.

667
00:33:51,400 --> 00:33:54,200
Speaker 1: They want the fitness plan that will tell them something

668
00:33:54,200 --> 00:33:55,400
Speaker 1: they don't.

669
00:33:56,440 --> 00:33:58,480
Speaker 3: It's called GLP one.

670
00:33:59,320 --> 00:34:00,920
Speaker 2: And for some day hit you over the head.

671
00:34:01,880 --> 00:34:06,440
Speaker 1: I mean, I think, fucking rocks. I think. I think

672
00:34:06,440 --> 00:34:10,239
Speaker 1: when it's used right and when it's exactly yeah, you

673
00:34:10,280 --> 00:34:12,160
Speaker 1: know what if it's someone for white loss and they're

674
00:34:12,239 --> 00:34:15,000
Speaker 1: using it with the instruction of a docta, things great,

675
00:34:15,239 --> 00:34:17,000
Speaker 1: Like it's just as long as as long as you're

676
00:34:17,040 --> 00:34:20,359
Speaker 1: not just like, I don't know, getting it illegally off

677
00:34:20,360 --> 00:34:23,560
Speaker 1: of TikTok, and illegally is probably not the term, but like, well,

678
00:34:23,600 --> 00:34:25,320
Speaker 1: that's KLP three.

679
00:34:25,840 --> 00:34:28,239
Speaker 2: Well, no, you can also go get compounded versions of

680
00:34:28,280 --> 00:34:31,279
Speaker 2: GLP one, which are in a dubious state at this

681
00:34:31,320 --> 00:34:33,239
Speaker 2: point in time because it used to be okay to

682
00:34:33,320 --> 00:34:36,440
Speaker 2: compound it, and then when there was a shortage the

683
00:34:36,520 --> 00:34:39,080
Speaker 2: FDA I loved that, and then once the shortage ended

684
00:34:39,080 --> 00:34:42,320
Speaker 2: they were like no, no, no, So then these compounding

685
00:34:42,360 --> 00:34:46,200
Speaker 2: pharmacies started, like altering the formula a little bit, adding

686
00:34:46,239 --> 00:34:48,560
Speaker 2: a little bit of vitamin B twelve or just different

687
00:34:48,640 --> 00:34:51,120
Speaker 2: components in it so that they weren't like carbon copies

688
00:34:51,120 --> 00:34:54,239
Speaker 2: of what the pharmaceutical companies were like, hey, hey, this

689
00:34:54,320 --> 00:34:57,160
Speaker 2: is copyrighted. Fuck off. But you know, like that's also

690
00:34:57,239 --> 00:34:59,160
Speaker 2: in of itself a problem because a lot of why

691
00:34:59,160 --> 00:35:02,479
Speaker 2: are people going to these compounding pharmacies for their golp ones,

692
00:35:02,520 --> 00:35:07,640
Speaker 2: It's because insurance companies make you fit a very narrow criteria,

693
00:35:07,840 --> 00:35:10,640
Speaker 2: even though it could potentially help you with a number

694
00:35:10,680 --> 00:35:14,000
Speaker 2: of different things. Like we have to understand the golp

695
00:35:14,120 --> 00:35:18,320
Speaker 2: ones are very recent for non diabetic use, Like there's

696
00:35:18,320 --> 00:35:21,000
Speaker 2: not a whole lot of data a year, right for

697
00:35:21,480 --> 00:35:24,080
Speaker 2: not not a year, but it's like the span of

698
00:35:24,239 --> 00:35:28,799
Speaker 2: medication not that long, Like you know, scientists study these

699
00:35:28,840 --> 00:35:31,680
Speaker 2: things for a very long time, and I think we're

700
00:35:31,719 --> 00:35:35,040
Speaker 2: about it. What a decade fifteen years on GLPS, less

701
00:35:35,120 --> 00:35:38,200
Speaker 2: for the for the the manjarros and all that stuff.

702
00:35:38,600 --> 00:35:42,320
Speaker 2: But it's like, you know, we don't the vast majority

703
00:35:42,320 --> 00:35:44,239
Speaker 2: of the clinical studies that have been done on these

704
00:35:44,280 --> 00:35:47,799
Speaker 2: medications have been on OBEs or diabetic populations. We don't

705
00:35:47,840 --> 00:35:50,279
Speaker 2: know what a bodybuilder who is just taking this to

706
00:35:50,640 --> 00:35:53,200
Speaker 2: like optimize themselves, we don't know what the impact on

707
00:35:53,200 --> 00:35:58,880
Speaker 2: their bodies will be. We find some promising research with

708
00:35:58,920 --> 00:36:02,279
Speaker 2: people with and fatty liver disease, which I have both

709
00:36:02,320 --> 00:36:04,960
Speaker 2: of those, which is why my doctor is also like,

710
00:36:05,040 --> 00:36:07,640
Speaker 2: you know, GOP makes sense for you and the metabolic

711
00:36:07,719 --> 00:36:10,680
Speaker 2: dysfunction that you have. So it's not that doctors aren't

712
00:36:10,800 --> 00:36:13,200
Speaker 2: using these in the arsenals to treat people who fit

713
00:36:14,080 --> 00:36:18,359
Speaker 2: certain criteria, but there are people who could help, who

714
00:36:18,400 --> 00:36:23,319
Speaker 2: could benefit from it, who don't fit these arbitrary insurance criteria,

715
00:36:23,440 --> 00:36:27,440
Speaker 2: and so we have created this market, this alternative market

716
00:36:27,440 --> 00:36:30,719
Speaker 2: for them to go to. That can be fine in

717
00:36:30,760 --> 00:36:33,000
Speaker 2: some spaces if you do your research and you do

718
00:36:33,040 --> 00:36:36,719
Speaker 2: your vetting, and you find a legitimate compound pharmacy that

719
00:36:36,800 --> 00:36:40,000
Speaker 2: follows the rules or you could get it from some

720
00:36:40,080 --> 00:36:44,560
Speaker 2: gray market guy named Bobo timb and I don't know

721
00:36:44,600 --> 00:36:48,280
Speaker 2: what you're putting in your body. So like we're creating

722
00:36:48,320 --> 00:36:52,240
Speaker 2: these things because we have made things so restrictive, so bad,

723
00:36:52,360 --> 00:36:56,319
Speaker 2: and then we are monetizing the alternative solution, which is,

724
00:36:56,440 --> 00:36:59,719
Speaker 2: you know, ultimately giving a lot of health anxiety to

725
00:36:59,760 --> 00:37:02,640
Speaker 2: be because why should they have to track their p

726
00:37:02,960 --> 00:37:06,000
Speaker 2: to know their hydration? Just look at the color of

727
00:37:06,040 --> 00:37:09,160
Speaker 2: your pee, I don't know, like you know, instead of

728
00:37:09,160 --> 00:37:11,480
Speaker 2: putting the systemic things in place that could help people

729
00:37:11,520 --> 00:37:14,440
Speaker 2: with their health and marketing these as tools, it's like

730
00:37:14,480 --> 00:37:16,720
Speaker 2: all of a sudden, Oh, you can get your blood

731
00:37:16,719 --> 00:37:19,200
Speaker 2: test because maybe you live in a rural area and

732
00:37:19,239 --> 00:37:21,160
Speaker 2: you don't have time to go to the doctor, so

733
00:37:21,520 --> 00:37:23,480
Speaker 2: will or will get your blood test for you. And

734
00:37:23,520 --> 00:37:25,719
Speaker 2: now you can track your metabolites and your blood in

735
00:37:25,800 --> 00:37:30,440
Speaker 2: the Aura app with no doctor's advice, with no doctor's advice.

736
00:37:30,480 --> 00:37:33,840
Speaker 2: Well you could ask maybe the AI and the app

737
00:37:33,920 --> 00:37:35,560
Speaker 2: or whatnot. And it's not just Ora. There's a lot

738
00:37:35,600 --> 00:37:38,239
Speaker 2: of companies that are kind of pursuing this line and

739
00:37:38,320 --> 00:37:40,320
Speaker 2: it comes from a place of like, yes, there is

740
00:37:40,360 --> 00:37:42,960
Speaker 2: a gap in the healthcare system. Traditionally, we're trying to

741
00:37:43,000 --> 00:37:45,000
Speaker 2: fill that gap, and there are some people who that

742
00:37:45,040 --> 00:37:46,719
Speaker 2: will help. I'm not going to lie and say that

743
00:37:46,760 --> 00:37:49,360
Speaker 2: there's no people that that could benefit. But at the

744
00:37:49,360 --> 00:37:52,600
Speaker 2: same time, the vast majority of healthy people don't need that.

745
00:37:52,640 --> 00:37:55,080
Speaker 2: They don't need that health anxiety in their life, but

746
00:37:55,120 --> 00:37:57,239
Speaker 2: we're just putting it on them because it's like, well,

747
00:37:57,239 --> 00:38:00,160
Speaker 2: if you don't, you're going to die. And so it's

748
00:38:00,280 --> 00:38:04,000
Speaker 2: just like I would love for there to be more

749
00:38:04,040 --> 00:38:06,319
Speaker 2: common sense and wellness. I would love us to have

750
00:38:06,640 --> 00:38:10,320
Speaker 2: responsible conversations about whether or not you need to track

751
00:38:11,000 --> 00:38:13,279
Speaker 2: X y Z seventy bio markers. You don't need to

752
00:38:13,320 --> 00:38:15,439
Speaker 2: track for seventy fucking biro markers. You really don't.

753
00:38:15,719 --> 00:38:17,040
Speaker 1: That date will not help you.

754
00:38:17,800 --> 00:38:19,800
Speaker 2: It won't, it won't.

755
00:38:20,160 --> 00:38:22,319
Speaker 3: I have is it kind of like have you guys

756
00:38:22,320 --> 00:38:24,920
Speaker 3: done it? Like, because I'm just curious? Is it like

757
00:38:24,960 --> 00:38:27,760
Speaker 3: when you go and you would pay to give someone

758
00:38:27,800 --> 00:38:29,880
Speaker 3: all of your genetic materials so they could test it

759
00:38:29,920 --> 00:38:34,080
Speaker 3: to find out whether or not, like who what your

760
00:38:34,080 --> 00:38:35,719
Speaker 3: family was right, like your family made up?

761
00:38:36,160 --> 00:38:39,200
Speaker 2: We call it longevity tech, which is just another word

762
00:38:39,280 --> 00:38:44,319
Speaker 2: for fucking bullshit sorry wellness, but like it's it's this

763
00:38:44,440 --> 00:38:48,560
Speaker 2: weird you know, who is the bloody baroness who's bathing

764
00:38:48,600 --> 00:38:51,320
Speaker 2: in the blood of virgins to appear younger and live longer.

765
00:38:51,400 --> 00:38:53,839
Speaker 2: It's the same kind of fear from Silicon Valley where

766
00:38:53,840 --> 00:38:56,759
Speaker 2: they're like, we are deathly afraid of death. So longevity

767
00:38:56,800 --> 00:39:00,160
Speaker 2: tech and you can optimize your life and you can

768
00:39:00,200 --> 00:39:03,040
Speaker 2: study all these metrics about yourself and then you'll be

769
00:39:03,080 --> 00:39:05,160
Speaker 2: able to live a better, healthier life without having to

770
00:39:05,160 --> 00:39:07,040
Speaker 2: go to the doctor as often. And it's just like,

771
00:39:07,080 --> 00:39:10,759
Speaker 2: there's a lot of problems with this narrative and you

772
00:39:10,880 --> 00:39:14,560
Speaker 2: have Maha co co adopting it in some ways. I've

773
00:39:14,640 --> 00:39:19,200
Speaker 2: seen health tech become weirdly right wing over the last

774
00:39:19,719 --> 00:39:21,520
Speaker 2: couple of weeks and months, where I'm just like, I

775
00:39:21,600 --> 00:39:23,799
Speaker 2: don't know how I feel about this. I don't know

776
00:39:23,840 --> 00:39:26,600
Speaker 2: how I feel about our sk Junior going like every

777
00:39:26,800 --> 00:39:28,280
Speaker 2: American where wearable.

778
00:39:28,760 --> 00:39:32,880
Speaker 1: I'm just like, it's post bullshit. We can't know everything.

779
00:39:33,360 --> 00:39:37,280
Speaker 1: There is a world of mystery. And also even knowing

780
00:39:37,320 --> 00:39:39,759
Speaker 1: all of this stuff doesn't do anything. I've said this

781
00:39:39,800 --> 00:39:43,799
Speaker 1: performing podcast. I have four years of sleep data, if

782
00:39:43,840 --> 00:39:47,319
Speaker 1: not more, and I cannot tell you anything other than

783
00:39:47,400 --> 00:39:51,160
Speaker 1: generally I sleep about seven and a half hours. No,

784
00:39:51,280 --> 00:39:54,040
Speaker 1: I'm I'm that's my actual secret to all of this.

785
00:39:54,040 --> 00:39:56,040
Speaker 1: It's the only reason I can put ten thousand words

786
00:39:56,040 --> 00:39:57,640
Speaker 1: a week is I sleep seven and a half to

787
00:39:57,719 --> 00:40:01,440
Speaker 1: eight hours a night without fail sleep. And it's funny

788
00:40:01,480 --> 00:40:05,040
Speaker 1: because it's like, of all the fitness things sleep supplements, sorry,

789
00:40:05,040 --> 00:40:10,160
Speaker 1: different supplements. I've tried weird tricks sleep. I don't even

790
00:40:10,200 --> 00:40:13,000
Speaker 1: mean it in like a facetious way. I just mean like, yeah,

791
00:40:13,040 --> 00:40:15,279
Speaker 1: this it's the one thing I can be like, Yeah,

792
00:40:15,280 --> 00:40:17,279
Speaker 1: when I do that, I feel better. When I don't sleep,

793
00:40:17,320 --> 00:40:18,240
Speaker 1: I feel way worse.

794
00:40:18,920 --> 00:40:22,640
Speaker 2: Yeah, I mean that. That's why they say sleep, diet,

795
00:40:23,320 --> 00:40:27,520
Speaker 2: and exercise. It just always boils down to like those

796
00:40:27,560 --> 00:40:31,200
Speaker 2: three things. And yes, there are conditions that kind of

797
00:40:31,200 --> 00:40:33,520
Speaker 2: make it difficult for certain people over others. If you

798
00:40:33,560 --> 00:40:35,960
Speaker 2: have metabolic dysfunction, yeah, well the diet part is going

799
00:40:36,000 --> 00:40:37,640
Speaker 2: to be a little harder for you, and there are

800
00:40:37,840 --> 00:40:41,120
Speaker 2: treatments for that. That makes sense. But it fundamentally will

801
00:40:41,160 --> 00:40:45,400
Speaker 2: always boil down to sleep, diet, and exercise.

802
00:40:59,680 --> 00:41:01,920
Speaker 1: I don't want to be clear about something though, because

803
00:41:01,960 --> 00:41:04,520
Speaker 1: it was lost earlier. We've had emails about it. I

804
00:41:04,560 --> 00:41:06,839
Speaker 1: think it's fine. There were some people who I've got

805
00:41:06,840 --> 00:41:08,800
Speaker 1: emails from I forget when it was brought up in

806
00:41:08,880 --> 00:41:12,239
Speaker 1: the past where it's like, oh, the judgment of people

807
00:41:12,239 --> 00:41:15,279
Speaker 1: who use GLP to lose weight, I think it's fucking

808
00:41:15,320 --> 00:41:17,160
Speaker 1: I've had weight issues my whole life. I think, however,

809
00:41:17,160 --> 00:41:18,920
Speaker 1: people want to lose weight as long as it's done

810
00:41:18,960 --> 00:41:21,000
Speaker 1: in a safe manner, as long.

811
00:41:20,840 --> 00:41:21,640
Speaker 2: As it's done.

812
00:41:22,239 --> 00:41:24,319
Speaker 3: It was like, I'm on one and it can stick.

813
00:41:24,800 --> 00:41:28,879
Speaker 3: It's absolute magic. It's fucking I love it. It makes

814
00:41:28,920 --> 00:41:29,400
Speaker 3: sense to me.

815
00:41:29,719 --> 00:41:32,520
Speaker 1: It's not depriving diabetics of getting the things they need

816
00:41:32,719 --> 00:41:34,239
Speaker 1: exactly right. That's the one thing.

817
00:41:34,760 --> 00:41:34,840
Speaker 5: Like.

818
00:41:35,320 --> 00:41:37,960
Speaker 3: As long as the diabetics and people with metabolic issues

819
00:41:37,960 --> 00:41:40,759
Speaker 3: who need it to survive are having it and we

820
00:41:40,800 --> 00:41:44,200
Speaker 3: don't have a shortage, it's really great for me. It's like, oh,

821
00:41:44,560 --> 00:41:46,560
Speaker 3: I talk about it. I call it the wing index.

822
00:41:47,160 --> 00:41:49,279
Speaker 3: We's had to hear about this before. There's something called the.

823
00:41:49,280 --> 00:41:52,520
Speaker 2: Wing talked about. Yeah, the wing how much, how many.

824
00:41:52,440 --> 00:41:54,920
Speaker 3: And how many wings do you eat before you were

825
00:41:54,960 --> 00:41:58,160
Speaker 3: on a GLP one versus how many do you eat after?

826
00:41:59,080 --> 00:42:01,440
Speaker 3: Because some of us, like you and I were talking,

827
00:42:02,080 --> 00:42:05,719
Speaker 3: I was like a fifteen wing girly. Hell yeah, And

828
00:42:05,960 --> 00:42:08,680
Speaker 3: now I'm a six, and I look at that, I'm like,

829
00:42:09,000 --> 00:42:12,000
Speaker 3: that's sad. But then I'm like, was fifteen good? No,

830
00:42:12,080 --> 00:42:12,800
Speaker 3: it was delicious.

831
00:42:12,840 --> 00:42:14,560
Speaker 1: It was yeah, I was gonna I was gonna say,

832
00:42:14,560 --> 00:42:16,280
Speaker 1: it's like it was the best thing in the world.

833
00:42:16,600 --> 00:42:19,719
Speaker 2: Do I miss wing index? No, my wing index was

834
00:42:19,800 --> 00:42:23,120
Speaker 2: four and now it's half of one. That's not great.

835
00:42:24,239 --> 00:42:26,759
Speaker 2: I'm having a different I'm having a different experience with

836
00:42:26,800 --> 00:42:28,200
Speaker 2: GPS and krantzis.

837
00:42:28,360 --> 00:42:30,760
Speaker 3: Yeah, it's different.

838
00:42:31,880 --> 00:42:35,040
Speaker 2: And also I didn't want to be on one. I

839
00:42:35,160 --> 00:42:38,360
Speaker 2: was told to be on one because of metabolic dysfunction

840
00:42:38,520 --> 00:42:41,360
Speaker 2: was causing weight gain, and so I needed the extra

841
00:42:41,440 --> 00:42:47,000
Speaker 2: help to kind of fix the metabolic dysfunction and reverse

842
00:42:47,200 --> 00:42:51,239
Speaker 2: some negative trends in my liver. So that like a

843
00:42:51,360 --> 00:42:54,000
Speaker 2: very lengthy conversation I had with my doctor over three

844
00:42:54,080 --> 00:42:57,800
Speaker 2: four months, so you know, it was an informed decision

845
00:42:57,960 --> 00:43:00,160
Speaker 2: to go on it. And then as soon as I

846
00:43:00,200 --> 00:43:02,480
Speaker 2: went on it, I started having clown nightmares and that

847
00:43:02,600 --> 00:43:03,160
Speaker 2: was not fun.

848
00:43:03,960 --> 00:43:07,160
Speaker 3: And I did not realize that's why I had nightmares.

849
00:43:07,400 --> 00:43:11,080
Speaker 3: But yeah, GLP one can create really vivid nightmares. Early on,

850
00:43:11,560 --> 00:43:13,320
Speaker 3: I thought I was just having a moment and V

851
00:43:13,440 --> 00:43:14,239
Speaker 3: told me and I was like.

852
00:43:14,200 --> 00:43:16,000
Speaker 1: Oh, I thought it's not.

853
00:43:17,600 --> 00:43:21,640
Speaker 2: Oh no. I had a dream that my spouse's ex

854
00:43:23,000 --> 00:43:25,440
Speaker 2: was chasing me on a cruise ship with a knife,

855
00:43:25,480 --> 00:43:27,560
Speaker 2: and I was like, this bitch is crazy. And then

856
00:43:27,560 --> 00:43:30,360
Speaker 2: she turned into Pennywise, the clown from it, and I

857
00:43:30,400 --> 00:43:32,920
Speaker 2: was like, oh no, she really crazy. And then I

858
00:43:32,960 --> 00:43:37,480
Speaker 2: woke up almost screaming. And apparently it's because like a

859
00:43:37,880 --> 00:43:41,520
Speaker 2: small percentage of people who take gop ones have crazy

860
00:43:41,600 --> 00:43:44,680
Speaker 2: dreams on them. And like I was on the intro

861
00:43:44,760 --> 00:43:46,560
Speaker 2: dose when I was getting these side effects and my

862
00:43:46,600 --> 00:43:49,600
Speaker 2: doctor was like, you know, most people don't get side

863
00:43:49,600 --> 00:43:53,400
Speaker 2: effects on the intro dose. You are special girl, And

864
00:43:53,480 --> 00:43:56,400
Speaker 2: I was like, oh cool, great, So you're telling me

865
00:43:56,480 --> 00:43:59,120
Speaker 2: that food aversion is not normal on the intro dose

866
00:43:59,160 --> 00:44:02,759
Speaker 2: because I can't look at food sometimes and it's a

867
00:44:02,840 --> 00:44:04,600
Speaker 2: very it's very troubling.

868
00:44:04,960 --> 00:44:06,600
Speaker 1: This is why I like the doctor I've had for

869
00:44:06,600 --> 00:44:08,480
Speaker 1: the last few years in Vegas, because I don't get

870
00:44:08,480 --> 00:44:11,200
Speaker 1: any of this normal people. I don't hear about the

871
00:44:11,239 --> 00:44:13,960
Speaker 1: mean on the media and I just did. He doesn't

872
00:44:14,000 --> 00:44:17,480
Speaker 1: try and pretend that I am like similar to other

873
00:44:17,520 --> 00:44:21,400
Speaker 1: people because I am not. Like it's and most of

874
00:44:21,440 --> 00:44:23,279
Speaker 1: the time it's just me being like is this bad?

875
00:44:23,320 --> 00:44:29,000
Speaker 1: And it's like, no, it's I feel like the entire

876
00:44:29,040 --> 00:44:31,319
Speaker 1: problem of everything we're talking about in these conversations is

877
00:44:31,360 --> 00:44:34,520
Speaker 1: this trying to push everybody towards the mean, trying to

878
00:44:34,520 --> 00:44:39,560
Speaker 1: make everyone like everyone else in a way that's literally

879
00:44:39,760 --> 00:44:42,680
Speaker 1: not like not like. I feel like the mean is

880
00:44:42,680 --> 00:44:45,680
Speaker 1: also a terrible way to do health in general. Just

881
00:44:45,719 --> 00:44:47,640
Speaker 1: the amount of food do you need.

882
00:44:49,200 --> 00:44:53,080
Speaker 3: Society? Right, Like, we're all different. Everybody's got different things.

883
00:44:53,080 --> 00:44:55,920
Speaker 3: Some people got heart issues, some people got fatty livers,

884
00:44:56,239 --> 00:45:01,640
Speaker 3: some people got the diabetes. Sorry, I'm of an age

885
00:45:03,080 --> 00:45:05,480
Speaker 3: that I will always think of him every single time.

886
00:45:06,080 --> 00:45:10,520
Speaker 3: Uh yeah, mister Brimley. And you know, everybody is a

887
00:45:10,560 --> 00:45:13,239
Speaker 3: little different. And when we don't allow for that, when

888
00:45:13,239 --> 00:45:17,319
Speaker 3: we when these fitness influencers and these these companies push

889
00:45:17,480 --> 00:45:19,480
Speaker 3: things and say this is going to fix you, that's

890
00:45:19,600 --> 00:45:21,799
Speaker 3: it's a it's a flat out lie because they don't

891
00:45:21,840 --> 00:45:26,040
Speaker 3: know and they can't promise that, and they shouldn't. And like,

892
00:45:26,160 --> 00:45:28,799
Speaker 3: I know, we we were kind of going all through it.

893
00:45:29,000 --> 00:45:31,560
Speaker 3: I still get really upset with the company's like Google,

894
00:45:31,680 --> 00:45:35,319
Speaker 3: who are profiting enormously off of this stuff. They have

895
00:45:35,560 --> 00:45:40,040
Speaker 3: no issue just raking in billions in cash from advertisers

896
00:45:40,040 --> 00:45:43,160
Speaker 3: and from these influencers and from viewpoints just to make

897
00:45:44,640 --> 00:45:46,600
Speaker 3: a buck. They're just like, yeah, this is just an industry.

898
00:45:46,680 --> 00:45:48,640
Speaker 3: You are the productor found. I hate that.

899
00:45:48,840 --> 00:45:50,160
Speaker 2: I hate that you are the product.

900
00:45:50,160 --> 00:45:50,319
Speaker 1: Now.

901
00:45:50,320 --> 00:45:52,760
Speaker 2: Your attention is a product, your body is a product.

902
00:45:52,840 --> 00:45:55,520
Speaker 2: Everything about you is being monetized to be a product.

903
00:45:55,600 --> 00:45:59,200
Speaker 2: And it's like you don't do the buying anymore. You

904
00:45:59,280 --> 00:46:02,000
Speaker 2: are the data. Like smart glasses. Why do they want

905
00:46:02,040 --> 00:46:04,160
Speaker 2: to put cameras on these smart glasses so that they

906
00:46:04,239 --> 00:46:06,840
Speaker 2: can get data from the camera. Why they want.

907
00:46:06,760 --> 00:46:10,840
Speaker 3: Everybody always view wants to like record their first person

908
00:46:10,920 --> 00:46:14,719
Speaker 3: point of view, of course, which looks like the commercial said.

909
00:46:15,120 --> 00:46:18,840
Speaker 1: It looks like boiled ass. Every here's a hater moment.

910
00:46:19,200 --> 00:46:23,040
Speaker 1: I think the video from those things looks weird. I

911
00:46:23,040 --> 00:46:25,719
Speaker 1: think it looks strange. I don't like it. I feel

912
00:46:25,760 --> 00:46:28,920
Speaker 1: like I'm sitting on top of somebody's head, I mean,

913
00:46:28,920 --> 00:46:31,560
Speaker 1: as you are. Yeah, yeah, I mean I know, I

914
00:46:31,600 --> 00:46:35,360
Speaker 1: know that's why like it's but that's the most lessoned feeling.

915
00:46:35,800 --> 00:46:37,640
Speaker 1: I don't want to bet.

916
00:46:38,160 --> 00:46:40,880
Speaker 3: Just like the vertical video wasn't attractive, right, like.

917
00:46:41,000 --> 00:46:42,680
Speaker 2: Well, now we're all used to vertical video.

918
00:46:42,920 --> 00:46:46,759
Speaker 1: I like, yes, I like my sixty nine situation sixteen ten.

919
00:46:47,000 --> 00:46:50,440
Speaker 3: Yeah, yeah, I want a.

920
00:46:50,360 --> 00:46:55,200
Speaker 1: Classic wide frame. Yeah, it's just I'm I am really

921
00:46:55,719 --> 00:46:58,520
Speaker 1: I do think we're going to like no one, no

922
00:46:58,600 --> 00:47:01,000
Speaker 1: one fucking believes me. But I do think a lot

923
00:47:01,000 --> 00:47:02,680
Speaker 1: of this stuff is going to go away the moment

924
00:47:02,760 --> 00:47:05,799
Speaker 1: they realize how actually expensive it is to run this shit.

925
00:47:06,440 --> 00:47:09,320
Speaker 1: And on top of the fact that just no one's

926
00:47:09,360 --> 00:47:11,600
Speaker 1: really making any money out of this AI health stuff

927
00:47:11,640 --> 00:47:16,960
Speaker 1: because where's the product. It's like, yeah, I owe the product, yeah,

928
00:47:16,960 --> 00:47:19,719
Speaker 1: but like you getting off, but they don't know how

929
00:47:19,760 --> 00:47:21,920
Speaker 1: to productize it from there. They don't know how to

930
00:47:21,960 --> 00:47:24,919
Speaker 1: like make a ton of money from that, evidence being

931
00:47:24,920 --> 00:47:26,719
Speaker 1: that nobody has made a ton of money from that.

932
00:47:27,040 --> 00:47:29,960
Speaker 1: Even clawed code, the supposedly most important thing ever, that

933
00:47:30,040 --> 00:47:33,400
Speaker 1: is only about one hundred million dollars a month in revenue.

934
00:47:34,239 --> 00:47:38,800
Speaker 1: Andrew Hupeman probably makes that from various snake oils he

935
00:47:38,880 --> 00:47:40,600
Speaker 1: boils in his garage.

936
00:47:41,200 --> 00:47:43,600
Speaker 2: The thing about health, the thing about health, though it

937
00:47:43,640 --> 00:47:46,080
Speaker 2: is the most valuable thing you have, you will I

938
00:47:46,080 --> 00:47:49,360
Speaker 2: think Alexandro Kasio Cortez said something about along these lines

939
00:47:49,400 --> 00:47:51,359
Speaker 2: several years ago, and it's stuck in my brain where

940
00:47:51,360 --> 00:47:54,279
Speaker 2: it's just like you will. Most people, unless you know

941
00:47:55,400 --> 00:47:59,160
Speaker 2: most people right, will basically do anything to live a

942
00:47:59,200 --> 00:48:02,240
Speaker 2: little bit longer. That's rich people, that's poor people. Nobody

943
00:48:02,239 --> 00:48:05,240
Speaker 2: wants to die. I mean like there's a few select

944
00:48:05,719 --> 00:48:09,680
Speaker 2: there's a select few who uh, court death for whatever reason,

945
00:48:10,080 --> 00:48:13,560
Speaker 2: but most people don't want to die. They want just

946
00:48:13,560 --> 00:48:16,480
Speaker 2: a little bit more time. And so health is your

947
00:48:16,520 --> 00:48:20,279
Speaker 2: most valuable possession that you have. It's priceless because as

948
00:48:20,280 --> 00:48:22,720
Speaker 2: soon as your health goes, your quality of life goes.

949
00:48:24,600 --> 00:48:27,279
Speaker 2: And I think companies know this, and they know if

950
00:48:27,320 --> 00:48:30,000
Speaker 2: they can scare you, if they can fearmonger you into

951
00:48:30,000 --> 00:48:32,240
Speaker 2: saying we have a solution so that you will live longer,

952
00:48:32,719 --> 00:48:34,439
Speaker 2: people will pay out the notes for that. And they're

953
00:48:34,480 --> 00:48:37,160
Speaker 2: just waiting to get that thing that will be like, oh,

954
00:48:37,200 --> 00:48:40,239
Speaker 2: you will do this. Like smart watches, when it was

955
00:48:40,280 --> 00:48:43,680
Speaker 2: just counting your your steps didn't fucking matter. They were

956
00:48:43,680 --> 00:48:46,160
Speaker 2: having a hard time getting people to buy those things.

957
00:48:46,160 --> 00:48:49,720
Speaker 2: The fashion apple watch addition, Yeah that didn't work either.

958
00:48:49,920 --> 00:48:51,399
Speaker 2: But as soon as the Apple Watch was like we'll

959
00:48:51,400 --> 00:48:53,799
Speaker 2: save your life if you have a cardiac event, yeah,

960
00:48:53,840 --> 00:48:54,799
Speaker 2: people started buying them.

961
00:48:54,840 --> 00:48:57,920
Speaker 1: They started Yeah that was kind of cool though, like

962
00:48:57,960 --> 00:49:00,680
Speaker 1: that it could do the EKG thing, And but I'm sure.

963
00:49:02,000 --> 00:49:03,960
Speaker 3: I would argue Apple is a big reason why we

964
00:49:04,000 --> 00:49:06,080
Speaker 3: have this. I mean, obviously there's like the Alex Jones

965
00:49:06,080 --> 00:49:07,879
Speaker 3: and the Joe Rogans of the world and everything like that,

966
00:49:08,239 --> 00:49:11,520
Speaker 3: and and the whole like influencer economy and love to

967
00:49:11,520 --> 00:49:14,000
Speaker 3: push through your protein powders. But a big part of

968
00:49:14,000 --> 00:49:17,400
Speaker 3: this was Apple. Back this is my hater section. A

969
00:49:17,400 --> 00:49:19,520
Speaker 3: big part of this was Apple. When Apple came out,

970
00:49:19,520 --> 00:49:22,799
Speaker 3: they launched that watch. It did fuck all. Nobody knew

971
00:49:22,800 --> 00:49:24,439
Speaker 3: what to use it for. I had one. I called

972
00:49:24,440 --> 00:49:27,520
Speaker 3: it my great regret capital letters every single time, even

973
00:49:27,560 --> 00:49:29,879
Speaker 3: when I said it out loud, And that was because

974
00:49:29,880 --> 00:49:33,440
Speaker 3: it was useless and they were desperate to find a

975
00:49:33,600 --> 00:49:36,320
Speaker 3: use for it. They found a use with the EKG stuff,

976
00:49:36,320 --> 00:49:39,200
Speaker 3: and it was a genuinely useful thing. People started buying

977
00:49:39,239 --> 00:49:41,600
Speaker 3: it for that reason, right. I cannot tell you how

978
00:49:41,600 --> 00:49:43,719
Speaker 3: many people I know who bought a watch for an

979
00:49:43,719 --> 00:49:48,680
Speaker 3: elderly parent so that they could have that extra safety net.

980
00:49:49,080 --> 00:49:51,040
Speaker 3: And now they're like, Okay, well, we still have to

981
00:49:51,040 --> 00:49:52,600
Speaker 3: make money off of this, but we already did that,

982
00:49:52,680 --> 00:49:56,200
Speaker 3: and we have to grow, and we have to keep growing.

983
00:49:56,239 --> 00:49:59,120
Speaker 3: If we don't growth, we don't grow, we die, and

984
00:49:59,160 --> 00:50:02,840
Speaker 3: so what do they do? They push further into wellness

985
00:50:02,960 --> 00:50:05,240
Speaker 3: in places where Apple and a lot of these companies

986
00:50:05,280 --> 00:50:07,919
Speaker 3: have zero business being and they're doing it exclusively because

987
00:50:07,920 --> 00:50:10,160
Speaker 3: they're like, we need new markets to sell our products.

988
00:50:10,200 --> 00:50:11,279
Speaker 3: At that's it.

989
00:50:11,440 --> 00:50:13,960
Speaker 2: I will say Apple is much more responsible in the

990
00:50:14,000 --> 00:50:18,320
Speaker 2: wellness space than other They do a lot in clinical research.

991
00:50:18,440 --> 00:50:20,719
Speaker 2: They are very clear about what their products do and

992
00:50:20,800 --> 00:50:24,160
Speaker 2: don't do. I do not hate Apple as much in

993
00:50:24,200 --> 00:50:30,719
Speaker 2: this space as others, which I might call it, but

994
00:50:30,760 --> 00:50:33,000
Speaker 2: they did. They kick it off. They kicked off the

995
00:50:33,080 --> 00:50:36,800
Speaker 2: advanced health features. But like, that's the again, here's the difference.

996
00:50:36,800 --> 00:50:41,120
Speaker 2: Here's the distinction health features versus wellness features. They're different,

997
00:50:41,520 --> 00:50:43,280
Speaker 2: They're different, there's a different grade.

998
00:50:43,520 --> 00:50:45,399
Speaker 3: Di isn't Apple one of the ones who did push

999
00:50:45,480 --> 00:50:49,080
Speaker 3: wellness because some of their features couldn't weren't immediately approved,

1000
00:50:49,640 --> 00:50:53,279
Speaker 3: weren't being like yeah, they just weren't approved, and so

1001
00:50:53,320 --> 00:50:55,040
Speaker 3: they were like, oh, this is a wellness feature.

1002
00:50:55,360 --> 00:50:59,200
Speaker 2: Initially, Well, it was more like they were they. I

1003
00:50:59,200 --> 00:51:01,200
Speaker 2: wouldn't say it was them that were the first ones

1004
00:51:01,200 --> 00:51:03,640
Speaker 2: because EKG I think was the first time we saw

1005
00:51:03,719 --> 00:51:06,680
Speaker 2: like a big difference in terms of like the alerts.

1006
00:51:06,719 --> 00:51:10,680
Speaker 2: Anything that is diagnostic, they very much go through the

1007
00:51:11,200 --> 00:51:14,080
Speaker 2: it's not diagnostic, but anything that's diagnostic adjacent they will

1008
00:51:14,080 --> 00:51:16,640
Speaker 2: go through the clearness process for. But again to answer

1009
00:51:16,719 --> 00:51:18,839
Speaker 2: the question I asked you guys earlier, blood oxygen, that's

1010
00:51:18,840 --> 00:51:21,000
Speaker 2: a wellness feature because there's nothing that you do with

1011
00:51:21,040 --> 00:51:24,080
Speaker 2: that information. It's just a spot check. It's not telling

1012
00:51:24,120 --> 00:51:25,920
Speaker 2: you that you sleep apnya, it's not telling you that

1013
00:51:25,960 --> 00:51:28,160
Speaker 2: you have anything. It is for your fun that you

1014
00:51:28,200 --> 00:51:30,560
Speaker 2: get to see that what your blood oxygen is. And

1015
00:51:30,640 --> 00:51:35,600
Speaker 2: so that is a wellness feature. And okay that Apple risks.

1016
00:51:35,239 --> 00:51:38,600
Speaker 3: A lot of time and effort and lawsuits to put

1017
00:51:38,680 --> 00:51:41,560
Speaker 3: into their watches, and are now aren't they still embroiled

1018
00:51:41,560 --> 00:51:42,880
Speaker 3: in a lawsuit about it.

1019
00:51:42,960 --> 00:51:45,120
Speaker 2: They're still embroiled in a lawsuit about it, but they're

1020
00:51:45,120 --> 00:51:47,759
Speaker 2: no longer banned from importing it. So you know, you

1021
00:51:47,760 --> 00:51:50,560
Speaker 2: can still have those features on the thing. But you know,

1022
00:51:51,239 --> 00:51:54,760
Speaker 2: blood oxygen, I don't think is that useful of a metric.

1023
00:51:55,160 --> 00:51:57,600
Speaker 2: If you need it, just get a pulse look similar.

1024
00:51:57,640 --> 00:51:59,680
Speaker 2: I don't think a smart watch is you know, I've

1025
00:51:59,680 --> 00:52:01,720
Speaker 2: had some readers tell me that they find it useful

1026
00:52:01,719 --> 00:52:05,080
Speaker 2: for their parents with respiratory issues. But I just think

1027
00:52:05,120 --> 00:52:07,960
Speaker 2: you should have a pulse oximiter because this is going

1028
00:52:08,000 --> 00:52:10,200
Speaker 2: to be a gruesome story. But when my mom was dying,

1029
00:52:10,360 --> 00:52:14,879
Speaker 2: like actually the day she died, it was because she

1030
00:52:14,960 --> 00:52:19,520
Speaker 2: was having respiratory failure from als. Her lungs were paralyzed basically,

1031
00:52:19,560 --> 00:52:21,879
Speaker 2: and she couldn't breathe and get enough oxygen into them,

1032
00:52:22,160 --> 00:52:24,960
Speaker 2: so her blood oxygen was dropping rapidly, and you know,

1033
00:52:25,040 --> 00:52:26,759
Speaker 2: I had the pulse oximeter, and she was getting to

1034
00:52:26,800 --> 00:52:30,600
Speaker 2: a point where her blood saturation levels were like in

1035
00:52:30,640 --> 00:52:34,160
Speaker 2: the high forties to low sixties, which is death time

1036
00:52:34,520 --> 00:52:37,520
Speaker 2: because anything under ninety you're supposed to go to a hospital.

1037
00:52:37,760 --> 00:52:39,880
Speaker 2: So you know, that was my family's full of doctors,

1038
00:52:39,920 --> 00:52:43,960
Speaker 2: So this was supervised, right, My family's full of doctors,

1039
00:52:43,960 --> 00:52:46,600
Speaker 2: and they all knew what that meant. And you know,

1040
00:52:46,760 --> 00:52:50,400
Speaker 2: I'm a Warriables reporter. My cousin was freaking out. She

1041
00:52:50,480 --> 00:52:53,560
Speaker 2: thought the pulse oximitter couldn't possibly be saying forty eight

1042
00:52:53,680 --> 00:52:55,480
Speaker 2: because that meant death. So I was like, well, I

1043
00:52:55,560 --> 00:52:58,919
Speaker 2: got Apple watch, let me put this on my dying mother,

1044
00:53:01,960 --> 00:53:03,960
Speaker 2: and let me tell you, I couldn't read it. There

1045
00:53:04,000 --> 00:53:09,000
Speaker 2: was no reading. Hell did it put up an emoji

1046
00:53:09,080 --> 00:53:11,600
Speaker 2: or anything. It just was like it just said it

1047
00:53:11,600 --> 00:53:13,279
Speaker 2: couldn't get a reading and put it.

1048
00:53:13,360 --> 00:53:15,480
Speaker 1: On and immediately said you should try standing.

1049
00:53:16,560 --> 00:53:16,759
Speaker 4: Yeah.

1050
00:53:16,960 --> 00:53:18,759
Speaker 2: I mean like, this is not a story that I

1051
00:53:18,800 --> 00:53:22,920
Speaker 2: frequently tell, just because it's so it's a sad story.

1052
00:53:22,960 --> 00:53:24,839
Speaker 2: And then I'm also just like I feel guilt because

1053
00:53:24,880 --> 00:53:27,640
Speaker 2: I'm just like, oh, I put an Apple Watch on

1054
00:53:27,719 --> 00:53:28,040
Speaker 2: my mom.

1055
00:53:28,400 --> 00:53:32,040
Speaker 1: You no, no, no, bullshit. You you tried to you

1056
00:53:32,080 --> 00:53:35,919
Speaker 1: tried to confirm something. You actually tried and you tried

1057
00:53:36,040 --> 00:53:39,440
Speaker 1: you confirm also your mother was dying. You could have

1058
00:53:39,480 --> 00:53:43,000
Speaker 1: done anything in that case, Like you reacted more normally

1059
00:53:43,040 --> 00:53:44,680
Speaker 1: than I would if such a thing was happening.

1060
00:53:46,000 --> 00:53:49,040
Speaker 2: I had my don't worry. I reacted not normally later.

1061
00:53:48,840 --> 00:53:54,880
Speaker 1: That night, again completely forgivable. Yeah, yeah, kind it to yourself.

1062
00:53:55,719 --> 00:53:58,319
Speaker 2: But no, I was just very much like, well, what

1063
00:53:58,360 --> 00:54:01,239
Speaker 2: are what are the opportunities for wearables tester to be

1064
00:54:01,520 --> 00:54:07,520
Speaker 2: with someone who is very identically identifiably below ninety in

1065
00:54:07,600 --> 00:54:09,520
Speaker 2: terms of a pulse sox simiter and to see whether

1066
00:54:09,560 --> 00:54:13,439
Speaker 2: this feature actually works on someone who is so low.

1067
00:54:13,480 --> 00:54:16,759
Speaker 2: And my my finding was no, this is why you

1068
00:54:16,800 --> 00:54:19,440
Speaker 2: need a pulsex cimeter, because if you are someone who

1069
00:54:19,520 --> 00:54:21,880
Speaker 2: has to worry about that. You shouldn't really rely on

1070
00:54:21,920 --> 00:54:22,680
Speaker 2: a smart watch.

1071
00:54:22,960 --> 00:54:26,440
Speaker 3: Well, it's the same with like I was gonna say,

1072
00:54:26,480 --> 00:54:30,040
Speaker 3: the same dark store, similarly dark, but my mom's still alive.

1073
00:54:30,520 --> 00:54:32,440
Speaker 3: But she had she had a stroke and it had

1074
00:54:32,480 --> 00:54:34,560
Speaker 3: to go on a heart monitor and it's and she

1075
00:54:34,600 --> 00:54:36,120
Speaker 3: was like, well, why can't I just use my Apple

1076
00:54:36,160 --> 00:54:38,560
Speaker 3: Watch because it's got a fib detection, And they were like,

1077
00:54:38,640 --> 00:54:41,399
Speaker 3: because it's a garbage heart rate monitor. You need one

1078
00:54:41,480 --> 00:54:43,799
Speaker 3: like over your heart, we want to see every bit

1079
00:54:43,880 --> 00:54:46,400
Speaker 3: of that thing. Your wearables aren't going to do that.

1080
00:54:46,760 --> 00:54:52,359
Speaker 3: And she her mind was blown and she hated it.

1081
00:54:50,120 --> 00:54:55,600
Speaker 2: And it's only for healthy people with a baseline, Like

1082
00:54:55,680 --> 00:54:58,640
Speaker 2: that's that's that's all these wearables are. It's just establishing

1083
00:54:58,719 --> 00:55:01,640
Speaker 2: what your baseline is. And like, accuracy is actually not

1084
00:55:01,800 --> 00:55:05,000
Speaker 2: the most important thing for most wearables. It's consistency. So

1085
00:55:05,040 --> 00:55:07,719
Speaker 2: if it's consistently inaccurate by the same amount, you can

1086
00:55:07,719 --> 00:55:12,720
Speaker 2: still use it to judge changes in your baseline. But yeah,

1087
00:55:12,880 --> 00:55:15,040
Speaker 2: obviously I live and breathe the shit, so I get

1088
00:55:15,120 --> 00:55:19,640
Speaker 2: really mad when I see influencers just talking out their

1089
00:55:19,719 --> 00:55:23,200
Speaker 2: fucking ass about clinically back this, like it's clinically proven.

1090
00:55:23,280 --> 00:55:26,520
Speaker 2: Nothing's clinically proven. Clinically proven doesn't mean shit. It's a

1091
00:55:26,560 --> 00:55:32,160
Speaker 2: marketing term, especially, you know, I actually interviewed a doctor

1092
00:55:32,480 --> 00:55:34,959
Speaker 2: and I was just like, what is clinically whatever meant?

1093
00:55:34,960 --> 00:55:37,160
Speaker 2: And then she was just like, there's a whole wide

1094
00:55:37,239 --> 00:55:42,239
Speaker 2: range of what clinically backed or clinically tested means. It

1095
00:55:42,280 --> 00:55:45,480
Speaker 2: could be in certain cases, depending on how a study

1096
00:55:45,760 --> 00:55:49,560
Speaker 2: is designed, it could be someone just self reporting their

1097
00:55:49,560 --> 00:55:53,759
Speaker 2: results in a scientific setting and that is technically clinical.

1098
00:55:54,640 --> 00:55:58,800
Speaker 2: So you know, next time you hear clinically validated, clinically

1099
00:55:58,840 --> 00:56:01,040
Speaker 2: proven and marketing material, I want you to put your

1100
00:56:01,040 --> 00:56:03,840
Speaker 2: little thinking cap on and go but is it really

1101
00:56:04,719 --> 00:56:06,279
Speaker 2: is it really mean?

1102
00:56:06,719 --> 00:56:06,919
Speaker 1: Look?

1103
00:56:06,960 --> 00:56:10,359
Speaker 2: What does that mean? What are they actually studying? How

1104
00:56:10,400 --> 00:56:11,839
Speaker 2: are they validating this thing?

1105
00:56:11,920 --> 00:56:11,960
Speaker 1: Like?

1106
00:56:12,000 --> 00:56:13,840
Speaker 2: I just want you to take the extra critical thinking

1107
00:56:13,880 --> 00:56:18,480
Speaker 2: step and just don't go like wow science words like

1108
00:56:18,560 --> 00:56:21,680
Speaker 2: That's that's all I want for people to to. Next

1109
00:56:21,680 --> 00:56:24,439
Speaker 2: time you see an influencer in a Lululemon set going

1110
00:56:24,480 --> 00:56:26,920
Speaker 2: oh my god, this greenspowder, I ask clinically proven to

1111
00:56:27,080 --> 00:56:27,920
Speaker 2: healthier cognition.

1112
00:56:30,040 --> 00:56:33,799
Speaker 3: No, that's hold into that whole four humors thing we've

1113
00:56:33,840 --> 00:56:37,560
Speaker 3: been seeing right where everybody's talking about your cortisol and

1114
00:56:37,320 --> 00:56:41,560
Speaker 3: and all your other different foremos I hear one more time?

1115
00:56:41,640 --> 00:56:44,560
Speaker 2: If I hear one more someone talking about inflammation.

1116
00:56:46,400 --> 00:56:48,080
Speaker 3: I was like, if it was this easy to release

1117
00:56:48,080 --> 00:56:51,200
Speaker 3: our cortisol, no one would have stress. Like you know

1118
00:56:51,200 --> 00:56:54,360
Speaker 3: how you get rid of cortisol, lower your cortisol lovers levels,

1119
00:56:54,800 --> 00:56:56,160
Speaker 3: be less stressed, and exercise.

1120
00:56:56,320 --> 00:57:00,760
Speaker 1: That's it that I've been getting random itching, I fall asleep,

1121
00:57:00,800 --> 00:57:03,080
Speaker 1: and I've read so many things like, yeah, maybe you're stressed.

1122
00:57:03,120 --> 00:57:05,520
Speaker 1: It's like cool, thank you.

1123
00:57:05,800 --> 00:57:09,279
Speaker 2: What do you have dry skin moisturized? Do you moisturize yea,

1124
00:57:09,360 --> 00:57:09,520
Speaker 2: I do?

1125
00:57:10,840 --> 00:57:13,600
Speaker 1: I do, and it doesn't work, So I mean it's

1126
00:57:13,640 --> 00:57:16,800
Speaker 1: probably something fun and from someone's going to email me.

1127
00:57:16,920 --> 00:57:19,760
Speaker 1: If you email me and say it's like a just

1128
00:57:19,800 --> 00:57:21,640
Speaker 1: a just want to be clear. Any listeners who email

1129
00:57:21,640 --> 00:57:24,040
Speaker 1: and try and diagnose me, I don't want to fucking know.

1130
00:57:24,160 --> 00:57:30,920
Speaker 1: And I'm gonna blast you everyone em any kind of diagnosis.

1131
00:57:31,200 --> 00:57:34,280
Speaker 1: I must be fucking clear. I will. I will light

1132
00:57:34,320 --> 00:57:37,040
Speaker 1: you up like a Christmas tree. And on that note,

1133
00:57:37,160 --> 00:57:39,120
Speaker 1: I think we can call it there as we've had

1134
00:57:39,120 --> 00:57:42,600
Speaker 1: a wonderful hater session. Victoria's song of Course from the

1135
00:57:42,720 --> 00:57:44,600
Speaker 1: Verge Victoria always a pleasure to have you.

1136
00:57:45,320 --> 00:57:48,400
Speaker 2: Thank you for having me. I hate everything.

1137
00:57:49,160 --> 00:57:51,040
Speaker 1: And Alex Grans love having you too.

1138
00:57:51,720 --> 00:57:54,680
Speaker 3: Oh my god, I hated every part of this podcast

1139
00:57:55,200 --> 00:57:58,640
Speaker 3: so and in every part of the world. Right now?

1140
00:57:59,000 --> 00:57:59,280
Speaker 5: Did I?

1141
00:57:59,360 --> 00:58:01,240
Speaker 3: Did I get my hair up perfect?

1142
00:58:01,400 --> 00:58:04,640
Speaker 1: That was great? The hatometer I've got going is absolutely

1143
00:58:04,680 --> 00:58:05,120
Speaker 1: losing it.

1144
00:58:05,200 --> 00:58:05,920
Speaker 3: But this was lovely.

1145
00:58:06,160 --> 00:58:08,640
Speaker 1: Thank you everyone for listening. This has been lovely. You'll

1146
00:58:08,640 --> 00:58:11,400
Speaker 1: have monologue of course this week, and yeah, catch you, sir.

1147
00:58:20,040 --> 00:58:22,440
Speaker 1: Thank you for listening to Better Offline. The editor and

1148
00:58:22,480 --> 00:58:25,640
Speaker 1: composer of the Better Offline theme song is Matasowski. You

1149
00:58:25,680 --> 00:58:27,920
Speaker 1: can check out more of his music and audio projects

1150
00:58:28,080 --> 00:58:31,600
Speaker 1: at Matasowski dot com, M A T T O S

1151
00:58:31,640 --> 00:58:35,720
Speaker 1: O W s ki dot com. You can email me

1152
00:58:35,760 --> 00:58:38,360
Speaker 1: at easy at Better Offline dot com, or visit Better

1153
00:58:38,400 --> 00:58:40,840
Speaker 1: Offline dot com to find more podcast links and of course,

1154
00:58:40,880 --> 00:58:44,000
Speaker 1: my newsletter. I also really recommend you go to chat

1155
00:58:44,040 --> 00:58:46,800
Speaker 1: dot Where's youreed dot to visit the discord, and go

1156
00:58:46,880 --> 00:58:49,400
Speaker 1: to our slash Better Offline to check out our reddit.

1157
00:58:50,200 --> 00:58:53,440
Speaker 1: Thank you so much for listening. Better Offline is a

1158
00:58:53,440 --> 00:58:54,840
Speaker 1: production of cool Zone Media.

1159
00:58:55,000 --> 00:58:57,840
Speaker 3: For more from cool Zone Media, visit our website cool

1160
00:58:57,880 --> 00:58:59,240
Speaker 3: Zonemedia dot com.

1161
00:58:59,320 --> 00:59:02,200
Speaker 4: Or check us out on the iHeartRadio app, Apple Podcasts,

1162
00:59:02,280 --> 00:59:03,760
Speaker 4: or wherever you get your podcasts.