WEBVTT - How the Framingham Heart Study Works

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<v Speaker 1>Hello, Colorado. The States so nice. We're playing there twice,

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<v Speaker 1>two days in a row. Chuck, we added a second

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<v Speaker 1>show to our Gothic Theater tour. That's right, we're gonna

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<v Speaker 1>be there June seventh and June now sold out, but

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<v Speaker 1>one of those weird cases where you go see the

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<v Speaker 1>first show you were actually late buying tickets. Right. We're

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<v Speaker 1>also going to be in Boston April four, d C

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<v Speaker 1>April five. We're gonna be in St. Louis on May,

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<v Speaker 1>in Cleveland one, and then of course we're gonna wrap

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<v Speaker 1>this summer up on June at the Gothic Theater in Colorado.

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<v Speaker 1>So go to s Y s K live dot com

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<v Speaker 1>for all of your information and ticket needs. Welcome to

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<v Speaker 1>Stuff you Should Know from how Stuff Works dot com. Hey,

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<v Speaker 1>and welcome to the podcast. I'm Josh Clark. There's Charles W.

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<v Speaker 1>Chuck Bryant, There's guest producer Noel all of Nature, Wild

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<v Speaker 1>and Free. This is where you long to be. Stuff

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<v Speaker 1>you should know. So let's go ahead and admit that

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<v Speaker 1>we just did a rare retake of like the first

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<v Speaker 1>four minutes of the show. Yeah, and I still reused

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<v Speaker 1>the Madonna lyric joke. That's fine, but we have to

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<v Speaker 1>recreate the rest of the previous four minutes. No, I

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<v Speaker 1>don't think so. I think we should just kind of

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<v Speaker 1>let it flow. I was just I was saying to myself,

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<v Speaker 1>By God, that Madonna jokes getting in there. All right, Well,

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<v Speaker 1>maybe just a quick recap. Noel's dressed up and looks great.

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<v Speaker 1>He's it's because he's a snappy dresser. Uh. We mispronounced

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<v Speaker 1>words in the UK and got laughed at. And now

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<v Speaker 1>we're talking about the Framing Him heart Study. That's right,

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<v Speaker 1>which we h. I don't know what podcast it was on,

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<v Speaker 1>but years ago we called it the Farmington hard Study. Um,

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<v Speaker 1>every time we said it, we said Farmington's did we really? Yeah,

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<v Speaker 1>you don't remember that. No, I mean that definitely sounds

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<v Speaker 1>like us, but I don't remember it. Yeah. Yeah, that's

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<v Speaker 1>why I made that joke when you first came in

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<v Speaker 1>about the Farmington Heart Study. Okay, yeah, we said it

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<v Speaker 1>was years ago. It was one of our earlier couple

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<v Speaker 1>of years and we said the Farmingtons Hearts Study probably

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<v Speaker 1>twelve times. Yeah. Back in the day, the standards used

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<v Speaker 1>to be its head lower. Yeah, because we were low

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<v Speaker 1>hanging Fruit podcast. It was us Zyberglass was Ricky Gervais

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<v Speaker 1>and Jesse Thorn, and then Adam Curry was out there

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<v Speaker 1>somewhere and probably Adam Corolla. Sure, yeah no, but no

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<v Speaker 1>one else we had. There were eight podcasts. That was it.

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<v Speaker 1>That was all you had to choose from, So you

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<v Speaker 1>better like at least one of them. Do you know

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<v Speaker 1>how many there are? Now? I just saw today? Uh no,

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<v Speaker 1>do you like you have an actual number? Well, I

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<v Speaker 1>mean it's a it's an even number, so it's probably

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<v Speaker 1>not exact. But the latest hot pod newsletter said that

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<v Speaker 1>there are roughly three podcasts. Oh my god, that's nuts.

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<v Speaker 1>I know, man alive. That's pretty impressive, and probably only

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<v Speaker 1>like five of those are good. Well, we we went

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<v Speaker 1>from that was mean, we went from eight to three

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<v Speaker 1>fifty thousand and how many years? Ten? We're still hanging strong,

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<v Speaker 1>we are. That's great. That's what happens when you say

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<v Speaker 1>things like Farmington ten twelve times. He's long gone. Yeah,

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<v Speaker 1>he pronounced everything perfectly like guys washed up now yea,

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<v Speaker 1>So the reason we're talking about framing him, which, by

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<v Speaker 1>the way, yeah, yeah, it's gonna be tough to say

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<v Speaker 1>it the same way every time, but it's framing Ham

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<v Speaker 1>is the city of Massachusetts. I don't get the Framingham

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<v Speaker 1>as opposed to framing him Yeah, ok, yeah, the h

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<v Speaker 1>is a hard age or soft aged like, Whereas if

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<v Speaker 1>this were in Scotland they would just say you're right,

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<v Speaker 1>which is again why we were laughed at Manchester that

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<v Speaker 1>it's Germany sorry, right, which is landlocked. So again we're

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<v Speaker 1>talking about Framingham, Massachusetts, a very small town these days.

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<v Speaker 1>In two thousand and seventeen, I think the census, well

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<v Speaker 1>that the population estimate was something like seventy residents, not

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<v Speaker 1>a not a huge town. I think that qualifies as

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<v Speaker 1>a small, dinky town. Still. Yeah, but it's a suburb

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<v Speaker 1>of Boston, which is a huge metropolis. Sure it is, um,

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<v Speaker 1>but it is aside from being a suburb of Boston,

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<v Speaker 1>it is in its own right, uh, an internationally renowned

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<v Speaker 1>tiny town. Not because it's like a place where the

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<v Speaker 1>circus used to hang out during the winter, or because um,

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<v Speaker 1>they have some amazing kind of fudge. Right, Farmingham, Massachusetts

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<v Speaker 1>is on the map because that town back in the day,

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<v Speaker 1>actually two times over that town. Just I did that

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<v Speaker 1>they were going to present themselves as as test subjects,

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<v Speaker 1>study participants, for some of the most important studies ever

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<v Speaker 1>carried out in the history of medicine. Yeah. What one

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<v Speaker 1>of the largest and certainly most influential longitudinal studies ever

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<v Speaker 1>performed in medicine. Yeah, it's called the Farming hum Or

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<v Speaker 1>farming Ham Heart Study, the Framingham Oh my god, was

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<v Speaker 1>that an accident? Yes, Oh boy, The Framing hum Heart Study. Yeah,

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<v Speaker 1>which you know, we've we've had challenges, as has the

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<v Speaker 1>medical community in research community throughout study history, of being

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<v Speaker 1>frustrated with like bad studies and poor sample sizes. This

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<v Speaker 1>one is really set the standard. Yeah, it's it's the

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<v Speaker 1>gold standard for anything that has anything to do is

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<v Speaker 1>studying cardiovascular disease. And as we'll see it basically is

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<v Speaker 1>everything we you and I, just Joe Schmo walking around

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<v Speaker 1>on the street know about cardiovascular disease basically came out

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<v Speaker 1>of this study. Um. And even before that, there was

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<v Speaker 1>another study that the town participated in that helped lick tuberculosis,

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<v Speaker 1>which was which was appropriate because you know, framing framing him. Yeah,

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<v Speaker 1>I got it right. Is in Massachusetts, which is part

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<v Speaker 1>of New England, which was part of the vampire panic area, which,

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<v Speaker 1>as you remember, was the result of tuberculosis. So it's

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<v Speaker 1>it was appropriate that that little town contributed to humanity

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<v Speaker 1>in that way as well. Yes, so should we hop

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<v Speaker 1>in the way back machine? Oh yes, all right, let's

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<v Speaker 1>set the dial. Let's load up the flux capacitor with

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<v Speaker 1>Miller heavy beer and banana peals. Miller heavy. Yeah that's

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<v Speaker 1>what he used, nice, I think so, yeah, okay, that's

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<v Speaker 1>that's at the end with the more modern version right

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<v Speaker 1>right of the Dolorean. Yeah. I think he used some

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<v Speaker 1>sort of plasma waist incenterator. Yeah. Uh so, let's let's

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<v Speaker 1>set the dials for um, the World War two era.

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<v Speaker 1>We're not gonna be super specific here, No, sometimes we

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<v Speaker 1>rolled the dice in the way back machine. Let's see

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<v Speaker 1>what happened. Just say, spit us out anytime in the

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<v Speaker 1>nineteen forties, not in Europe or the South Pacific, that's right.

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<v Speaker 1>So in the nineteen UM here was a scene in

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<v Speaker 1>the USA, and I guess all over the world is

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<v Speaker 1>we did not know a lot about and all this

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<v Speaker 1>stuff seems so second nature now and like duh about

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<v Speaker 1>heart disease, But we didn't know a lot about heart

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<v Speaker 1>disease back then, and it was sort of just accepted

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<v Speaker 1>that once you reach a certain age, like, yeah, your

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<v Speaker 1>heart just may take you out. Nothing we can do

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<v Speaker 1>about it. Might as well not research it. And there's

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<v Speaker 1>certainly no preventative medicines for your to ensure that health. No,

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<v Speaker 1>certainly not like they could try to treat it or whatever.

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<v Speaker 1>But most of the time, once you came down with UM,

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<v Speaker 1>one of the cardiovascular diseases, you UM, you were a goner.

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<v Speaker 1>YEA of us deaths we're due to CBD, right, And

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<v Speaker 1>so there was a confounding factor that led to this

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<v Speaker 1>huge increase. There are actually two of them. One is

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<v Speaker 1>as far as percentages go. The cardiovascular disease deaths lurched

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<v Speaker 1>forward in the mid early mid twentieth century because what

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<v Speaker 1>used to be the big killers, which were infectious diseases

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<v Speaker 1>which we now consider highly treatable. They used to kill everybody, right,

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<v Speaker 1>And as we started to treat them thanks to the

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<v Speaker 1>discovery and use of penicillin and antibiotics, those things fell

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<v Speaker 1>into the background and and by by extend mention or

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<v Speaker 1>by proxy, cardiovascular disease was basically bear naked out there

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<v Speaker 1>statistics wise. Suddenly something that was just kind of like

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<v Speaker 1>a secondary problem was now that the leading cause of

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<v Speaker 1>death in the United States and in the West. I believe, yeah,

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<v Speaker 1>because I guess people were living routinely, living into their

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<v Speaker 1>fifties and sixties, maybe for the first time, I don't know, Yeah,

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<v Speaker 1>and they were saying, my god, I'm so glad I

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<v Speaker 1>get these extra couple of decades of eating raw steak

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<v Speaker 1>and smoking cigarettes at the dinner table. Grass. That is

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<v Speaker 1>so nasty. It's a it's a true story, though. I

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<v Speaker 1>saw my grandpa do it with my own eyes, smoke

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<v Speaker 1>at the table. Now. Actually, my grandpa was one of

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<v Speaker 1>the He went the other way. He was like like

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<v Speaker 1>subscriber number three to Prevention magazine and yeah, into like

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<v Speaker 1>coffee animas and all sorts of weird st He was

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<v Speaker 1>big time healthy guy. Is that what led your dad

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<v Speaker 1>to become the herbal Elviots? I think that that had

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<v Speaker 1>some had to have had something to do with it,

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<v Speaker 1>for sure. Luckily my dad didn't carry on the family

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<v Speaker 1>tradition of coffee animos down to me. So um alright,

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<v Speaker 1>So by of death or cardiovascular everyone's dying now from

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<v Speaker 1>their heart because they're living longer because they're not dying

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<v Speaker 1>of TV and their thirties and forties and then the

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<v Speaker 1>second big thing that happened that you teased was President Roosevelt.

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<v Speaker 1>Uh started to get really he got cardiovascular disease. He

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<v Speaker 1>started to get really high blood pressure. Uh. This was

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<v Speaker 1>compounded by UM. Now we understand that stress and anxiety

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<v Speaker 1>can compound these things, and he certainly had no shortage

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<v Speaker 1>of that UM as president. And you know Winston Churchill

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<v Speaker 1>of all people, when he says he seems to be

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<v Speaker 1>a very tired man. If Winston Churchill was saying that,

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<v Speaker 1>then you're in trouble. Yeah, because he wasn't the picture

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<v Speaker 1>of health. No, he certainly wasn't. But apparently f D

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<v Speaker 1>made him look like he was fresh as a daisy.

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<v Speaker 1>So FDR had high blood pressure when he went into

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<v Speaker 1>the White House to begin with. But by the time

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<v Speaker 1>rolls around right after the Yalta UM conference where they

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<v Speaker 1>divided Europe up between what Great Britain, the United States

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<v Speaker 1>in UM, Russia the Soviet Union, right. Um. He died

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<v Speaker 1>a couple of weeks after that, at age sixty three.

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<v Speaker 1>He had a stroke from hypertension, which is another word

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<v Speaker 1>for high blood pressure. And boy, oh boy, did he

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<v Speaker 1>have high blood pressure like off the charts. Chuck, Yeah,

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<v Speaker 1>three hundred, when when he died he had three hundred

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<v Speaker 1>over one. One more time, three hundred over one. So

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<v Speaker 1>I went and look that up. I'm like, even without

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<v Speaker 1>looking it up, I know that's high, but how high

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<v Speaker 1>is it? So? Ideal is between ninety over sixty and

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<v Speaker 1>one over eighty. That's how deal blood pressure. Anything over

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<v Speaker 1>one eighty over one twenty is what's called a hypertensive crisis.

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<v Speaker 1>And the chart tells you to go to your doctor

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<v Speaker 1>immediately for that if you have anything over one eight over.

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<v Speaker 1>FDR had three over one. Yeah, and I mean his

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<v Speaker 1>doctor said, I predict he's a very sick man. I

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<v Speaker 1>predicted will be dead within a few months. And he

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<v Speaker 1>was running the money, right Churchill's doctor. Yeah, FDR Zone

0:12:27.080 --> 0:12:29.599
<v Speaker 1>doctor was like, here, take this digitalis You'll love that.

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<v Speaker 1>Churchill's guy, Yeah, okay, yeah. At the y'all take conference.

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<v Speaker 1>I guess he just travels with I would think, so,

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<v Speaker 1>I thought, I mean, I would imagine all those guys

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<v Speaker 1>would travel with their doctors, you know, just just for fun,

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<v Speaker 1>like what kind of pills you got today? Yeah, and

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<v Speaker 1>again I'm watching The Crown now. I talked about that

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<v Speaker 1>in the TV h well, in the episode but when

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<v Speaker 1>we talked about it and John listcal As Winston, Churchill

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<v Speaker 1>is grow great. What he's awesome? When he and FDR

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<v Speaker 1>like half two part ways after the y'all to conference,

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<v Speaker 1>does he punch FDR in the face and say O,

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<v Speaker 1>FDR hasn't actually he hasn't been in it. Okay, well

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<v Speaker 1>look for that scene coming up. Yeah, but it's crazy.

0:13:09.800 --> 0:13:11.839
<v Speaker 1>Churchill's all over the place. He had the Gary Oldman

0:13:11.920 --> 0:13:15.280
<v Speaker 1>movie and then there were dual Churchill movies. Brian Cox

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<v Speaker 1>was on another one. Oh, he's in it's quality. He's great,

0:13:18.600 --> 0:13:23.160
<v Speaker 1>although his Hannibal lecture was it was fine until Anthony

0:13:23.200 --> 0:13:25.920
<v Speaker 1>Hopkins got his hands on that role. Yeah. The rare

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<v Speaker 1>case where the second actor totally owns the role usually

0:13:31.400 --> 0:13:34.600
<v Speaker 1>like the first actor. Will you know, just probably by

0:13:34.679 --> 0:13:38.400
<v Speaker 1>the fact that the first Although I liked Um, What's

0:13:38.440 --> 0:13:41.680
<v Speaker 1>the to Live In Diane l A's guy's name who

0:13:41.720 --> 0:13:45.320
<v Speaker 1>was the lead guy in Manhunter? William Peterson. Yeah, I

0:13:45.360 --> 0:13:50.360
<v Speaker 1>liked William Peterson's character. That's a great movie more than

0:13:50.800 --> 0:13:55.319
<v Speaker 1>Um Edward Norton's version. Oh, in Red Dragon, because Red

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<v Speaker 1>Dragon and Manhunter they're based on the same book. Yeah, yeah,

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<v Speaker 1>it's the same thing. Yeah, yeah, you're really right. William

0:14:01.160 --> 0:14:03.400
<v Speaker 1>Peterson a way better than Edward Norton in that role,

0:14:03.640 --> 0:14:06.880
<v Speaker 1>but Jodie Foster better than all of them, is closed, Yes, yeah,

0:14:06.960 --> 0:14:09.400
<v Speaker 1>all of them put together. Man. I just watched the

0:14:09.440 --> 0:14:11.360
<v Speaker 1>end of that again the other day, and oh, you're

0:14:11.360 --> 0:14:16.400
<v Speaker 1>gonna appreciate this. Uh. Emily was in the other room, um,

0:14:16.400 --> 0:14:18.240
<v Speaker 1>in the bathroom or something, I can't remember, and she

0:14:18.320 --> 0:14:20.520
<v Speaker 1>didn't know what. I turned it on and I passed

0:14:20.640 --> 0:14:25.280
<v Speaker 1>it right at the moment of the Penis Tuck Buffalo

0:14:25.360 --> 0:14:28.200
<v Speaker 1>Bill when he had his arms out in the Jesus

0:14:28.240 --> 0:14:30.800
<v Speaker 1>Christ post and Emily came in and just got in

0:14:30.840 --> 0:14:32.640
<v Speaker 1>bed and looked up and was like, oh my god,

0:14:34.720 --> 0:14:37.640
<v Speaker 1>what a great movie that was. Had everything, the perfect

0:14:37.720 --> 0:14:42.080
<v Speaker 1>race Rain did everything, had Jodie Foster, Anthony Hopkins, and

0:14:42.120 --> 0:14:45.920
<v Speaker 1>a Penis Tuck scene. We should probably take a break,

0:14:46.520 --> 0:14:49.560
<v Speaker 1>all right, We're off the rails here, are you ready? Yes?

0:14:50.000 --> 0:15:23.240
<v Speaker 1>Break starting now? Okay, Chuck. So we were talking about

0:15:23.360 --> 0:15:29.320
<v Speaker 1>Penis tux right. FDR famously did that at the Yalta conference.

0:15:30.360 --> 0:15:34.040
<v Speaker 1>Oh my god, so he you know the reason the

0:15:34.080 --> 0:15:37.920
<v Speaker 1>reason FDR's death from hypertension really factors into the stories

0:15:37.960 --> 0:15:43.120
<v Speaker 1>because it was extremely public, okay, And what FDR basically

0:15:43.160 --> 0:15:48.000
<v Speaker 1>did without using these last words, he basically said he

0:15:48.120 --> 0:15:52.600
<v Speaker 1>pointed at at modern medicine and said, I beseech you,

0:15:52.880 --> 0:15:56.160
<v Speaker 1>and then keeled over right, So modern medicine was like,

0:15:56.320 --> 0:15:58.520
<v Speaker 1>who us, we don't know what we're doing when it

0:15:58.520 --> 0:16:04.040
<v Speaker 1>comes to cardiovascular disease ease. And shortly thereafter, the framing

0:16:04.080 --> 0:16:09.160
<v Speaker 1>him heart study was born. No, you can almost coming.

0:16:09.560 --> 0:16:12.920
<v Speaker 1>The framing of heart study was born because Harry Truman

0:16:13.040 --> 0:16:18.160
<v Speaker 1>signed the National Heart Act, which is probably the thing

0:16:18.240 --> 0:16:20.960
<v Speaker 1>that he's most famous for. Its president. Yeah, and that

0:16:21.000 --> 0:16:25.400
<v Speaker 1>included and that included five thousand dollars in the form

0:16:25.400 --> 0:16:28.960
<v Speaker 1>of a grant for this study for twenty years to

0:16:29.000 --> 0:16:32.720
<v Speaker 1>cover twenty years for the study. And um, I think

0:16:32.760 --> 0:16:38.400
<v Speaker 1>initially Public Health service physician Uh Gilson or Gilkin Metters

0:16:39.960 --> 0:16:43.360
<v Speaker 1>uh said, it sounds like you messed that up, but

0:16:43.440 --> 0:16:45.280
<v Speaker 1>you didn't. I think you hit it right on the head.

0:16:45.360 --> 0:16:48.800
<v Speaker 1>Gilson Metters. It matters sounds like a weird you think

0:16:48.840 --> 0:16:51.240
<v Speaker 1>it'd be meadows or something. It sounds like you're drunk

0:16:51.280 --> 0:16:55.400
<v Speaker 1>and saying meadows. Uh. And this was the original quote,

0:16:55.400 --> 0:16:57.760
<v Speaker 1>which is actually a pretty good mission statement for the study.

0:16:58.320 --> 0:17:01.280
<v Speaker 1>Their mission was to study the express and of coronary

0:17:01.400 --> 0:17:05.840
<v Speaker 1>artery disease and a normal or unselected population, and to

0:17:06.000 --> 0:17:10.359
<v Speaker 1>determine the factors predisposing to the development of the disease

0:17:10.359 --> 0:17:13.600
<v Speaker 1>through clinical and laboratory examined long term follow up. So

0:17:13.640 --> 0:17:16.760
<v Speaker 1>there you have it. Not bad, it's got a clinical ring,

0:17:16.840 --> 0:17:20.720
<v Speaker 1>it's got a it's concise. You can dance to it. Yeah, exactly.

0:17:21.160 --> 0:17:25.080
<v Speaker 1>So this this framing Him heart study was a heart

0:17:25.080 --> 0:17:28.280
<v Speaker 1>study before it was set in framing him. And they

0:17:28.680 --> 0:17:31.160
<v Speaker 1>went to framing him for a number of reasons. One

0:17:31.200 --> 0:17:34.480
<v Speaker 1>they said, well, this is a pretty pretty standard UM

0:17:34.640 --> 0:17:40.399
<v Speaker 1>middle America, middle class UM community, at least of the

0:17:40.480 --> 0:17:43.360
<v Speaker 1>kind that we pay attention to in this day and age, right,

0:17:43.680 --> 0:17:46.800
<v Speaker 1>meaning it was almost entirely white people, which will see

0:17:46.800 --> 0:17:49.480
<v Speaker 1>as a huge criticism of this study that UM the

0:17:49.800 --> 0:17:53.840
<v Speaker 1>study directors over time have tried to work on. But um,

0:17:53.880 --> 0:17:58.920
<v Speaker 1>they said, aside from the the the complete and almost

0:17:58.920 --> 0:18:04.879
<v Speaker 1>complete and utter of UM diversity. Yes, in this study,

0:18:04.920 --> 0:18:08.560
<v Speaker 1>it's a pretty good slice of America. It's a small town,

0:18:08.960 --> 0:18:12.400
<v Speaker 1>most of the people their middle income. It's it's got

0:18:12.400 --> 0:18:14.720
<v Speaker 1>a big enough population. At the time, this is the

0:18:14.800 --> 0:18:17.600
<v Speaker 1>nineteen forties or something like twenty eight thousand people that

0:18:17.680 --> 0:18:20.080
<v Speaker 1>we could get a pretty decent, like random sample of

0:18:20.080 --> 0:18:23.640
<v Speaker 1>the population going. But the town itself is small enough.

0:18:23.960 --> 0:18:26.440
<v Speaker 1>There's only like two hospitals and in time there would

0:18:26.440 --> 0:18:29.240
<v Speaker 1>only be one hospital that we can actually easily keep

0:18:29.320 --> 0:18:32.840
<v Speaker 1>track of the people in this town. And it's not

0:18:32.920 --> 0:18:35.680
<v Speaker 1>too far from Boston University, which would win the contrast

0:18:35.720 --> 0:18:38.840
<v Speaker 1>to UM carrying out the study on behalf of the

0:18:38.920 --> 0:18:42.199
<v Speaker 1>National Heart Institute. Well, yeah, and they had also, like

0:18:42.240 --> 0:18:45.600
<v Speaker 1>you said, earlier, proven that their game for this kind

0:18:45.600 --> 0:18:49.000
<v Speaker 1>of thing by participating in that uh to what was

0:18:49.040 --> 0:18:53.440
<v Speaker 1>called tuberculosis how down or something. Ye had a name.

0:18:53.920 --> 0:18:56.280
<v Speaker 1>It did have a name. It was called the Framing

0:18:56.359 --> 0:19:02.560
<v Speaker 1>Him Tuberculosis Demonstration. There would be like watch this, no,

0:19:02.760 --> 0:19:05.800
<v Speaker 1>but it could be on a Saturday night. It was

0:19:05.880 --> 0:19:08.160
<v Speaker 1>the hold Down. So that, yeah, the whole town had

0:19:08.440 --> 0:19:10.160
<v Speaker 1>was not the whole town, but the town had gotten

0:19:10.200 --> 0:19:15.359
<v Speaker 1>behind being UM test subjects or study participants for a

0:19:15.400 --> 0:19:19.720
<v Speaker 1>whole other study about thirty years before the Heart study began.

0:19:20.240 --> 0:19:23.520
<v Speaker 1>So they were already kind of like there. Their healthcare

0:19:23.560 --> 0:19:27.160
<v Speaker 1>providers were already like aware that this stuff was going on.

0:19:27.480 --> 0:19:31.280
<v Speaker 1>And at the time, apparently healthcare providers like your general practitioner.

0:19:31.920 --> 0:19:34.560
<v Speaker 1>That was like the end all be all of your health.

0:19:35.200 --> 0:19:38.320
<v Speaker 1>That person was meant to know everything about you and

0:19:38.400 --> 0:19:42.280
<v Speaker 1>everything about disease and how to treat you. And that

0:19:42.480 --> 0:19:45.840
<v Speaker 1>was that. There weren't any longitudinal studies, There wasn't any

0:19:45.880 --> 0:19:49.760
<v Speaker 1>preventative medicine, There wasn't any national hard institute, there was

0:19:49.840 --> 0:19:52.680
<v Speaker 1>nothing like that. It all came down to your general practitioner.

0:19:53.040 --> 0:19:56.359
<v Speaker 1>So it was really important that the general practitioners and

0:19:56.359 --> 0:19:59.200
<v Speaker 1>the healthcare providers in the town of Framing Them were

0:19:59.280 --> 0:20:02.240
<v Speaker 1>on board this kind of thing, because they could very

0:20:02.320 --> 0:20:06.119
<v Speaker 1>easily have seen this as encroaching on their turf, but

0:20:06.200 --> 0:20:09.800
<v Speaker 1>they didn't. And I think the Framing Him study directors

0:20:09.840 --> 0:20:13.400
<v Speaker 1>and the people who carried this actual study out deferred

0:20:13.440 --> 0:20:17.360
<v Speaker 1>to the general practitioners in the town as far as

0:20:17.359 --> 0:20:21.159
<v Speaker 1>like giving advice from the findings and and keeping up

0:20:21.160 --> 0:20:24.520
<v Speaker 1>with the the like outside medical findings or even the

0:20:24.520 --> 0:20:27.080
<v Speaker 1>stuff they were finding from the study. They didn't directly

0:20:27.119 --> 0:20:30.800
<v Speaker 1>give it to the study participants. They gave it to

0:20:30.840 --> 0:20:33.000
<v Speaker 1>their doctors, and then the doctors would tell the study

0:20:33.000 --> 0:20:35.639
<v Speaker 1>parts participants, so they were kept in the loop. So

0:20:35.680 --> 0:20:39.919
<v Speaker 1>there was a there was a a symbiotic relationship that

0:20:40.000 --> 0:20:42.520
<v Speaker 1>was forged. Yeah. I thought that was interesting that they

0:20:42.600 --> 0:20:45.320
<v Speaker 1>just kept the research like they weren't there to offer

0:20:45.400 --> 0:20:48.760
<v Speaker 1>medical advice. They were literally just collecting research. But I

0:20:48.800 --> 0:20:53.560
<v Speaker 1>do wonder if some of the times they would say, hey, uh,

0:20:53.800 --> 0:20:57.840
<v Speaker 1>gp of Mr Donaldson, you really need to get him

0:20:58.040 --> 0:21:02.960
<v Speaker 1>in like next week. Yeah, like really yeah, like he

0:21:03.080 --> 0:21:09.480
<v Speaker 1>It's kind of like I guess how Churchill's doctor saw Roosevelt, right, Like,

0:21:09.520 --> 0:21:11.159
<v Speaker 1>I know we're not supposed to give advice, but my

0:21:11.240 --> 0:21:14.359
<v Speaker 1>advice to you is to call this guy up and say,

0:21:14.480 --> 0:21:17.080
<v Speaker 1>maybe you should come in a little earlier than next spring, right,

0:21:17.600 --> 0:21:22.000
<v Speaker 1>or go up your malpractice insurance. So we did say

0:21:22.000 --> 0:21:28.119
<v Speaker 1>that it wasn't super ethnically diverse, which um didn't phase

0:21:28.200 --> 0:21:29.920
<v Speaker 1>them too much at the time, And it really hit

0:21:29.960 --> 0:21:33.960
<v Speaker 1>home to me just how like just how white probably

0:21:34.040 --> 0:21:39.640
<v Speaker 1>every major study had been up until this point without

0:21:39.680 --> 0:21:42.399
<v Speaker 1>even like thinking it was a problem, which is being like,

0:21:42.520 --> 0:21:44.520
<v Speaker 1>I don't know, there's a great study. They're like, well,

0:21:44.560 --> 0:21:47.360
<v Speaker 1>you know, he didn't include any black people, and they

0:21:47.520 --> 0:21:49.119
<v Speaker 1>just it probably just didn't even occur to them at

0:21:49.119 --> 0:21:51.600
<v Speaker 1>the time. I don't know if it didn't occur to him.

0:21:51.600 --> 0:21:56.920
<v Speaker 1>I I think that it was mostly that's who their

0:21:57.000 --> 0:22:01.320
<v Speaker 1>clientele was. I think that that's probably who was being

0:22:01.359 --> 0:22:04.720
<v Speaker 1>studied because that's what America catered to at the time,

0:22:04.800 --> 0:22:07.720
<v Speaker 1>or who America catered to, I should say at the time.

0:22:08.480 --> 0:22:11.520
<v Speaker 1>I don't know that that much has changed these days, unfortunately,

0:22:11.560 --> 0:22:15.320
<v Speaker 1>but I think it was vastly more pronounced back then.

0:22:15.800 --> 0:22:18.720
<v Speaker 1>Well I think they I think they're way more inclusive

0:22:18.760 --> 0:22:21.560
<v Speaker 1>now and and probably have to be to get research

0:22:21.680 --> 0:22:24.840
<v Speaker 1>grants these days. I would think, oh, yeah, yeah, yeah, yeah, yeah,

0:22:24.880 --> 0:22:27.600
<v Speaker 1>for sure. No, I'm saying America as a whole being

0:22:27.680 --> 0:22:31.080
<v Speaker 1>like catering to Yeah, hear you, But that did change

0:22:31.160 --> 0:22:34.400
<v Speaker 1>in and framing him after World War Two. Apparently there

0:22:34.480 --> 0:22:37.439
<v Speaker 1>was an influx of a more diverse population after the

0:22:37.440 --> 0:22:41.440
<v Speaker 1>war at least, right, and I think by the Good

0:22:41.480 --> 0:22:44.480
<v Speaker 1>Lord was that the nineties when they added the new cohort.

0:22:45.000 --> 0:22:47.879
<v Speaker 1>Well we'll get to the cohorts, Okay, well, anyway, sure

0:22:48.359 --> 0:22:52.000
<v Speaker 1>we'll spoiler alert. They added they made the study population

0:22:52.040 --> 0:22:55.320
<v Speaker 1>more diverse. One thing that is in the credit of

0:22:55.359 --> 0:22:59.919
<v Speaker 1>the study designers is that they included women at a

0:23:00.000 --> 0:23:04.000
<v Speaker 1>about which was totally unheard of it's in any kind

0:23:04.040 --> 0:23:07.120
<v Speaker 1>of medical study at the time. Because again, not only

0:23:07.119 --> 0:23:10.760
<v Speaker 1>did they cater to almost exclusively white people in America

0:23:10.760 --> 0:23:13.960
<v Speaker 1>at the time. They catered almost exclusively to white men

0:23:14.000 --> 0:23:19.240
<v Speaker 1>at the time. Yeah, and I think also women. I

0:23:19.280 --> 0:23:22.880
<v Speaker 1>think heart disease probably still has a stigma of like, yeah,

0:23:22.920 --> 0:23:28.159
<v Speaker 1>men have heart disease, uh more than women do, right, Like,

0:23:28.200 --> 0:23:29.840
<v Speaker 1>what are you a trucker lady? How do you have

0:23:29.880 --> 0:23:33.040
<v Speaker 1>heart disease? Go back, go back home, get out of

0:23:33.080 --> 0:23:36.080
<v Speaker 1>my doctor's office. Yeah, you dummy. Yeah, which is not

0:23:36.160 --> 0:23:40.240
<v Speaker 1>the case, right, No. But the weird thing is is

0:23:40.280 --> 0:23:44.520
<v Speaker 1>what they found from the study. Just overall, they found

0:23:44.520 --> 0:23:47.000
<v Speaker 1>that the stuff that they've come up with, which we'll

0:23:47.040 --> 0:23:50.200
<v Speaker 1>talk about in a second, is really good at predicting

0:23:50.280 --> 0:23:55.119
<v Speaker 1>things for like white guys, for cardio vascular disease for

0:23:55.160 --> 0:23:59.280
<v Speaker 1>white guys. But even though women were very um clearly

0:23:59.320 --> 0:24:01.960
<v Speaker 1>represented in the study, they've actually found that the same

0:24:02.000 --> 0:24:04.400
<v Speaker 1>predictors don't work for women. So it's kind of led

0:24:04.480 --> 0:24:09.040
<v Speaker 1>to a separate study of women and how they suffer

0:24:09.119 --> 0:24:13.000
<v Speaker 1>from cardiovascular disease, because they definitely do, it's just under

0:24:13.040 --> 0:24:17.400
<v Speaker 1>different circumstances it appears than men. Yeah, it's pretty interesting.

0:24:17.600 --> 0:24:21.000
<v Speaker 1>So let's talk about the beginning of the study, right, Yeah,

0:24:21.040 --> 0:24:23.479
<v Speaker 1>So they recruited people between the ages of thirty and

0:24:23.480 --> 0:24:26.879
<v Speaker 1>fifty nine initially because that is the window where you

0:24:26.960 --> 0:24:30.720
<v Speaker 1>might develop c D d UM and they they thought

0:24:30.800 --> 0:24:33.120
<v Speaker 1>by recruiting people in this range, they would also get

0:24:33.480 --> 0:24:36.560
<v Speaker 1>a certain amount of people that are already have this

0:24:36.800 --> 0:24:41.040
<v Speaker 1>uh appearing like these symptoms appearing right. They didn't though.

0:24:41.080 --> 0:24:43.439
<v Speaker 1>Actually it turned out that they had to actually go

0:24:43.600 --> 0:24:48.160
<v Speaker 1>recruit people who had cardiovascular disease already and put them

0:24:48.240 --> 0:24:51.040
<v Speaker 1>into this study themselves, I think, because people probably that

0:24:52.320 --> 0:24:56.440
<v Speaker 1>maybe we're on that track, don't volunteer for studies like this. Well.

0:24:56.480 --> 0:25:00.359
<v Speaker 1>They also it wasn't a very random sample, especial at

0:25:00.400 --> 0:25:05.600
<v Speaker 1>first because they initially got participants through um word of

0:25:05.680 --> 0:25:10.280
<v Speaker 1>mouth at like civic groups and clubs. So so the

0:25:10.320 --> 0:25:12.520
<v Speaker 1>presence of a social network or a certain type of

0:25:12.560 --> 0:25:16.680
<v Speaker 1>social network, we just kind of does away with randomness

0:25:16.760 --> 0:25:20.080
<v Speaker 1>right out of the gate. And they ended up recruiting

0:25:20.080 --> 0:25:23.240
<v Speaker 1>other people outside of like these groups and civic civic

0:25:23.240 --> 0:25:26.280
<v Speaker 1>clubs and all that, who initially formed a large part

0:25:26.280 --> 0:25:29.760
<v Speaker 1>of the study. UM cohort to make it a little

0:25:29.840 --> 0:25:32.720
<v Speaker 1>more random, and I guess they were successful because it

0:25:32.760 --> 0:25:37.000
<v Speaker 1>seems like the idea of it being not very random

0:25:37.119 --> 0:25:41.600
<v Speaker 1>or not very representative sample of the whole um isn't

0:25:41.640 --> 0:25:43.760
<v Speaker 1>really discussed any longer. So I guess they took care

0:25:43.800 --> 0:25:45.720
<v Speaker 1>of it by the inclusion of the additional I think

0:25:45.760 --> 0:25:49.119
<v Speaker 1>like seven people. Yeah, so they the idea was that

0:25:49.160 --> 0:25:53.400
<v Speaker 1>you would come in every two years to give um

0:25:53.440 --> 0:25:57.480
<v Speaker 1>your medical history updated, to get updated, to have your physical,

0:25:58.000 --> 0:26:01.200
<v Speaker 1>to get you all your labs done. And they thought

0:26:01.200 --> 0:26:03.400
<v Speaker 1>at the time like, there's probably they were smart enough

0:26:03.400 --> 0:26:06.280
<v Speaker 1>to know that there's probably not one thing this causing CBD.

0:26:06.960 --> 0:26:10.320
<v Speaker 1>So collecting all this history from all these people over time,

0:26:10.720 --> 0:26:12.680
<v Speaker 1>and initially it was going to be twenty years, but

0:26:12.720 --> 0:26:15.280
<v Speaker 1>as you will learn, it's still going on today, which

0:26:15.320 --> 0:26:19.159
<v Speaker 1>is amazing. Um, they can really get a robust sampling

0:26:20.040 --> 0:26:24.399
<v Speaker 1>of people and time from kind of all walks of

0:26:24.440 --> 0:26:27.040
<v Speaker 1>life once they started being more inclusive. Yeah, and they

0:26:27.040 --> 0:26:30.840
<v Speaker 1>can watch the disease develop or not develop. And since

0:26:30.880 --> 0:26:34.280
<v Speaker 1>they do like a really they did a phenomenal baseline

0:26:34.480 --> 0:26:38.200
<v Speaker 1>exam and Chuck, actually, I saw and the very original

0:26:38.480 --> 0:26:41.440
<v Speaker 1>inception or conception of the study was that they were

0:26:41.440 --> 0:26:44.000
<v Speaker 1>going to do a baseline exam and then a second

0:26:44.040 --> 0:26:46.199
<v Speaker 1>follow up three to five years later and that was it.

0:26:46.680 --> 0:26:48.520
<v Speaker 1>But luckily they had the foresight to be like, no, no no, no,

0:26:48.680 --> 0:26:50.760
<v Speaker 1>let's keep this thing going and keep a rolling. Baby,

0:26:50.800 --> 0:26:55.359
<v Speaker 1>I'm feeling hot, right. So they were by doing this

0:26:55.480 --> 0:26:58.320
<v Speaker 1>baseline exam and saying, you know, do you smoke, how

0:26:58.359 --> 0:27:00.719
<v Speaker 1>much read meet you? How much do you drink? How

0:27:00.800 --> 0:27:04.880
<v Speaker 1>much exercise do you get? How often do you go parasailing? Like? Um,

0:27:05.200 --> 0:27:07.760
<v Speaker 1>like how many kids do you have? What were your

0:27:07.800 --> 0:27:12.840
<v Speaker 1>parents medical histories? Like? By getting this really great baseline exam,

0:27:12.880 --> 0:27:15.679
<v Speaker 1>they had an idea of all the different factors that

0:27:15.720 --> 0:27:19.560
<v Speaker 1>could come into play when it comes to cardiovascular disease.

0:27:19.760 --> 0:27:22.159
<v Speaker 1>And then with these follow up exams every two years,

0:27:22.400 --> 0:27:24.600
<v Speaker 1>they would find people as the as they got the

0:27:24.680 --> 0:27:26.520
<v Speaker 1>disease or didn't get the disease, and then they could

0:27:26.520 --> 0:27:29.000
<v Speaker 1>go back and look and say, well, this person has

0:27:29.040 --> 0:27:33.919
<v Speaker 1>cardiovascular disease and they smoke and they have diabetes, and uh,

0:27:34.080 --> 0:27:36.959
<v Speaker 1>their parents had a stroke. They're dead at a stroke

0:27:37.720 --> 0:27:40.159
<v Speaker 1>and they just had a stroke. So they started to

0:27:40.240 --> 0:27:42.720
<v Speaker 1>see from all of this data, it was basically like

0:27:42.800 --> 0:27:45.440
<v Speaker 1>you know how data, big data is just enormous right now.

0:27:46.000 --> 0:27:49.960
<v Speaker 1>That's basically what the Heart Institute did in Boston University

0:27:50.000 --> 0:27:52.119
<v Speaker 1>just went and set up camp in this town and

0:27:52.160 --> 0:27:55.119
<v Speaker 1>they started collecting as much data as they possibly could,

0:27:55.440 --> 0:27:58.480
<v Speaker 1>and then they set about sorting through it and publishing

0:27:58.520 --> 0:28:01.920
<v Speaker 1>papers based on the finding. Yeah, and you mentioned the

0:28:01.960 --> 0:28:05.160
<v Speaker 1>cohort earlier there, and I'm just gonna go ahead and say,

0:28:05.359 --> 0:28:07.800
<v Speaker 1>each of these cohort names is a great band name.

0:28:08.760 --> 0:28:12.080
<v Speaker 1>All of them a blanket. That's a blanket, great band name. Statement.

0:28:12.600 --> 0:28:14.720
<v Speaker 1>So the initial you said when they went out and

0:28:14.720 --> 0:28:18.040
<v Speaker 1>got another seven forty people, who and those are the

0:28:18.040 --> 0:28:22.280
<v Speaker 1>people who had the early signs of CBD. Yeah, they

0:28:22.280 --> 0:28:25.200
<v Speaker 1>were included in there. Okay, that's the Framing Him Cohort.

0:28:25.480 --> 0:28:28.159
<v Speaker 1>That's everybody. That's the first group. Okay, all of the

0:28:28.200 --> 0:28:31.480
<v Speaker 1>first group combined was the Framing Him Cohort. That's a

0:28:32.000 --> 0:28:35.600
<v Speaker 1>that's kind of an emo folkey band. Then in seventy

0:28:35.680 --> 0:28:39.000
<v Speaker 1>one they said, you know what, these people are having kids.

0:28:39.040 --> 0:28:41.959
<v Speaker 1>So what would be awesome is if we started studying

0:28:41.960 --> 0:28:45.840
<v Speaker 1>these children and their lifetimes and they were known as

0:28:45.880 --> 0:28:50.160
<v Speaker 1>the Offspring Cohort. So that's like an offspring cover band. Okay,

0:28:50.240 --> 0:28:53.440
<v Speaker 1>that's terrible. I thought, it's not bad. What what was offspring?

0:28:53.480 --> 0:28:56.400
<v Speaker 1>I don't even know. Oh, remember you got to keep

0:28:56.440 --> 0:29:00.160
<v Speaker 1>them separated. I do remember that song that was had

0:29:00.200 --> 0:29:02.360
<v Speaker 1>a couple of good songs. Yeah, and I think the guy,

0:29:02.520 --> 0:29:05.200
<v Speaker 1>if I'm not mistaken, and I'm not thinking of Milo

0:29:05.320 --> 0:29:09.280
<v Speaker 1>from the Descendants, Um, this was the guy from Offspring

0:29:09.600 --> 0:29:14.080
<v Speaker 1>went on to get like a PhD in like biochemistry

0:29:14.160 --> 0:29:19.000
<v Speaker 1>or nuclear physics or something really impressive. Interesting, Yeah, I was.

0:29:19.040 --> 0:29:22.440
<v Speaker 1>I'm so I have no idea about any of that genre,

0:29:22.520 --> 0:29:25.080
<v Speaker 1>whatever that genre is. I'm not sure what that is either.

0:29:25.760 --> 0:29:28.160
<v Speaker 1>The Offspring were kind of their own thing. Yeah, but

0:29:28.280 --> 0:29:31.640
<v Speaker 1>isn't it a part of just the whole Like what

0:29:31.680 --> 0:29:34.400
<v Speaker 1>was that tour like the Vans Warped Tour and that

0:29:34.520 --> 0:29:38.000
<v Speaker 1>all that stuff. I know nothing about any of those bands.

0:29:38.000 --> 0:29:40.080
<v Speaker 1>I'll bet they were on Warped Tour now that you

0:29:40.120 --> 0:29:42.680
<v Speaker 1>mentioned it. They were not definitely not a part of

0:29:44.000 --> 0:29:49.640
<v Speaker 1>what was Lilith Fair No, no, but ironically they did

0:29:49.680 --> 0:29:51.920
<v Speaker 1>go to a couple of dates just as audience member

0:29:52.200 --> 0:29:55.760
<v Speaker 1>probably so. Alright, So the Offspring cohort were the kids.

0:29:56.480 --> 0:29:59.400
<v Speaker 1>That was about fifty of them, and then they included

0:29:59.400 --> 0:30:02.600
<v Speaker 1>their spouse is um which was a big deal because,

0:30:02.680 --> 0:30:05.680
<v Speaker 1>like I said, adding the kids allowed to look for

0:30:06.120 --> 0:30:10.400
<v Speaker 1>hereditary functions as far as CBD goes. And then the

0:30:10.440 --> 0:30:14.760
<v Speaker 1>spouses just gave that extra layer of examination when they

0:30:14.760 --> 0:30:18.120
<v Speaker 1>weren't related, right, Yeah, so it's almost like a built

0:30:18.160 --> 0:30:22.000
<v Speaker 1>in control group as far as um looking at hereditary

0:30:22.040 --> 0:30:25.240
<v Speaker 1>stuff goes. Right. And then that was also like I've

0:30:25.240 --> 0:30:30.120
<v Speaker 1>seen it remarked on, man, my brain is a little

0:30:30.160 --> 0:30:35.200
<v Speaker 1>broken to day. But um, the having adding the kids

0:30:35.240 --> 0:30:38.120
<v Speaker 1>as a second cohort was was just a stroke of

0:30:38.200 --> 0:30:41.560
<v Speaker 1>genius because even before they had any idea that we

0:30:41.560 --> 0:30:45.000
<v Speaker 1>were going to be able to easily examine genes and

0:30:45.160 --> 0:30:50.040
<v Speaker 1>d n A, they they started building this this study

0:30:50.320 --> 0:30:55.360
<v Speaker 1>data that can be mined now for genetic stuff thanks

0:30:55.400 --> 0:30:59.800
<v Speaker 1>to these guys foresight by adding this offspring cohort. That

0:31:00.320 --> 0:31:05.640
<v Speaker 1>pretty cool. Uh. The first omni cohort first of three,

0:31:06.120 --> 0:31:10.320
<v Speaker 1>those are all three good band names. And this was

0:31:10.440 --> 0:31:12.960
<v Speaker 1>when they started getting that diversity. They said, hey, maybe

0:31:13.000 --> 0:31:16.800
<v Speaker 1>we should sort of officially include this and break this out.

0:31:17.240 --> 0:31:19.600
<v Speaker 1>So that was made up of about five hundred people

0:31:20.240 --> 0:31:24.520
<v Speaker 1>of Native American descent, African American descent, Hispanic, Indian, Asian,

0:31:24.520 --> 0:31:29.040
<v Speaker 1>and Pacific islander right first. And I guess second and

0:31:29.120 --> 0:31:33.920
<v Speaker 1>third omni cohorts, And that was that's surprising to me

0:31:34.000 --> 0:31:36.160
<v Speaker 1>that it took that long when they knew out of

0:31:36.200 --> 0:31:39.640
<v Speaker 1>the gate that it wasn't representative of America as a whole. Yeah,

0:31:39.680 --> 0:31:41.560
<v Speaker 1>I mean it's that's not to say that they didn't

0:31:41.600 --> 0:31:43.360
<v Speaker 1>have any of those people in the study, but they

0:31:43.360 --> 0:31:48.440
<v Speaker 1>officially recruited more. Isn't that right? That's my impression. Yeah, okay, Yeah,

0:31:48.640 --> 0:31:52.200
<v Speaker 1>I don't know that the original cohort was entirely white,

0:31:52.280 --> 0:31:56.040
<v Speaker 1>but I from what I understand, it was so so

0:31:56.240 --> 0:32:00.520
<v Speaker 1>majority white that it was not representative of of America

0:32:00.560 --> 0:32:04.480
<v Speaker 1>population wise. And by the way, Omni Cohort that's obviously

0:32:04.600 --> 0:32:08.280
<v Speaker 1>a E d M band that would probably tour with

0:32:08.360 --> 0:32:11.880
<v Speaker 1>like the Crystal Method or something like that. Uh. And

0:32:11.920 --> 0:32:16.200
<v Speaker 1>then finally the third generation Cohort or Gin three, which

0:32:16.200 --> 0:32:19.840
<v Speaker 1>is their album title, that started in two thousand two,

0:32:20.720 --> 0:32:22.480
<v Speaker 1>and I think they're expected to shut that one down

0:32:23.160 --> 0:32:26.400
<v Speaker 1>next year. That I thought was really weird. Why shut

0:32:26.440 --> 0:32:28.680
<v Speaker 1>any of them down? Might not be like, we're gonna

0:32:28.760 --> 0:32:31.520
<v Speaker 1>follow you to the grave, man, Yeah, we might even

0:32:31.600 --> 0:32:33.880
<v Speaker 1>dig you up in ten years after you're dead in

0:32:34.000 --> 0:32:36.440
<v Speaker 1>case we figure out something new to do with you,

0:32:36.560 --> 0:32:40.320
<v Speaker 1>you know. Yeah, And these are kids who had at

0:32:40.400 --> 0:32:46.240
<v Speaker 1>least one parent in the offspring cohort? Is that right? Okay?

0:32:46.760 --> 0:32:52.800
<v Speaker 1>And then there's another one called the offspring spousal cohort,

0:32:52.960 --> 0:32:56.720
<v Speaker 1>the new offspring spouse cohort. Right, that's a that's just

0:32:56.760 --> 0:33:00.960
<v Speaker 1>a weird one. Yeah, they're getting a little meta. Yeah, So, um,

0:33:01.000 --> 0:33:05.040
<v Speaker 1>the new offspring spouse cohort is made up of spouses who,

0:33:05.280 --> 0:33:10.040
<v Speaker 1>for whatever reasons, weren't part of the original offspring cohort

0:33:10.360 --> 0:33:15.040
<v Speaker 1>and have at least two kids in the Gen three cohort?

0:33:15.200 --> 0:33:18.080
<v Speaker 1>Is that correct? It gets a little wonky, But but

0:33:18.200 --> 0:33:20.200
<v Speaker 1>the point is is they're like adding more and more

0:33:20.280 --> 0:33:22.920
<v Speaker 1>people in the town. As the town's getting bigger and

0:33:23.000 --> 0:33:25.800
<v Speaker 1>as the town's getting more diverse, they're they're making the

0:33:25.800 --> 0:33:29.640
<v Speaker 1>study reflect this population more and more with the hopes

0:33:29.680 --> 0:33:31.640
<v Speaker 1>that it's going to reflect America more and more. And

0:33:31.680 --> 0:33:36.360
<v Speaker 1>they again this the study designers and and directors have

0:33:36.480 --> 0:33:39.000
<v Speaker 1>always known that this isn't just like a perfect snapshot

0:33:39.440 --> 0:33:43.800
<v Speaker 1>of America. Um, there's always been criticisms of it, and UM,

0:33:43.840 --> 0:33:45.120
<v Speaker 1>I don't know, you want to take a break before

0:33:45.160 --> 0:33:47.680
<v Speaker 1>we get into those, Okay, we will do that right

0:33:47.720 --> 0:34:18.880
<v Speaker 1>after this. Okay, so I said, we're going to get

0:34:18.880 --> 0:34:21.799
<v Speaker 1>into criticisms, but first we should probably talk about some

0:34:21.880 --> 0:34:25.240
<v Speaker 1>of the successes, right yeah. And like I said earlier

0:34:25.280 --> 0:34:27.640
<v Speaker 1>that so much of what we learned from this UM

0:34:27.640 --> 0:34:31.760
<v Speaker 1>today seems just so brainless. But it's important to remember

0:34:31.840 --> 0:34:36.279
<v Speaker 1>that before this, I mean, you still even though you think, like, yeah,

0:34:36.320 --> 0:34:38.600
<v Speaker 1>you smoke cigarettes, you're going to increase your risk of

0:34:38.640 --> 0:34:41.680
<v Speaker 1>heart disease. It seems like such such a second nature

0:34:41.719 --> 0:34:45.000
<v Speaker 1>thing to know now, But until you have actual scientific proof,

0:34:45.920 --> 0:34:48.799
<v Speaker 1>you can't say something like that. And this study gave

0:34:48.880 --> 0:34:50.520
<v Speaker 1>us a lot of these things that we take for

0:34:50.560 --> 0:34:54.520
<v Speaker 1>granted now as obvious and proved them came out of

0:34:54.560 --> 0:34:57.759
<v Speaker 1>this study in particular, And and cigarettes was a big one.

0:34:58.520 --> 0:35:01.040
<v Speaker 1>I read in this article. I can't remember where it

0:35:01.080 --> 0:35:03.839
<v Speaker 1>came from, Chuck, I sent to you where um they

0:35:03.840 --> 0:35:07.640
<v Speaker 1>were talking about how one of the reasons why cardiovascular

0:35:07.680 --> 0:35:11.680
<v Speaker 1>disease spiked in the forties was because they were giving

0:35:11.719 --> 0:35:13.920
<v Speaker 1>free cigarettes out to all of the g I s

0:35:14.040 --> 0:35:16.440
<v Speaker 1>during World War Two. They had like an endless supply

0:35:16.520 --> 0:35:19.359
<v Speaker 1>of free cigarettes over there, and that they think that

0:35:19.719 --> 0:35:23.080
<v Speaker 1>directly led to a rise in the in depths from

0:35:23.120 --> 0:35:27.560
<v Speaker 1>cardiovascular disease. So, but no one knew for sure. Some

0:35:27.600 --> 0:35:30.800
<v Speaker 1>people probably suspected. Every once in a while a newspaper

0:35:30.800 --> 0:35:33.120
<v Speaker 1>would quote them. They would be called a crack potter

0:35:33.200 --> 0:35:36.200
<v Speaker 1>and by somebody else in the in the article, and

0:35:36.239 --> 0:35:39.279
<v Speaker 1>that would be that. Right. So these guys went to

0:35:39.320 --> 0:35:44.720
<v Speaker 1>town like establishing a link between smoking and cardiovascular disease.

0:35:44.920 --> 0:35:48.360
<v Speaker 1>They tried very very hard to um connect diet in

0:35:48.400 --> 0:35:52.200
<v Speaker 1>cardiovascular disease and had very mixed results, so much so

0:35:52.280 --> 0:35:55.200
<v Speaker 1>that some of their early work in that realm was

0:35:55.280 --> 0:35:58.600
<v Speaker 1>just went unpublished. For the most part, they just kind

0:35:58.600 --> 0:36:01.080
<v Speaker 1>of were like, uh, we'd don't understand this, so we're

0:36:01.080 --> 0:36:03.560
<v Speaker 1>not gonna include this. But some of the other ones

0:36:03.600 --> 0:36:07.719
<v Speaker 1>were stroke. Like, um, if you have cardiovascular disease, are

0:36:07.719 --> 0:36:10.560
<v Speaker 1>at a much higher risk for stroke. Nobody knew that

0:36:10.640 --> 0:36:14.120
<v Speaker 1>conclusively before. Yeah, they confirmed that things like cholesterol and

0:36:14.120 --> 0:36:20.200
<v Speaker 1>blood pressure abnormalities increase your risk. UM, irregular heartbeat, atrial

0:36:20.520 --> 0:36:27.000
<v Speaker 1>fibrillation increases your risk five times menopause. Yeah, that was

0:36:27.040 --> 0:36:29.680
<v Speaker 1>a that was a big one, super big one. Um,

0:36:29.840 --> 0:36:33.360
<v Speaker 1>here's here's one, Like, seriously, this was figured out in

0:36:33.400 --> 0:36:37.600
<v Speaker 1>this study that um, physical activity decreases your risk for

0:36:37.640 --> 0:36:43.040
<v Speaker 1>cardiovascular disease, while lower physical activity and obesity increases your risk.

0:36:43.800 --> 0:36:45.920
<v Speaker 1>Like again, this is stuff that we're like, of course,

0:36:46.200 --> 0:36:49.240
<v Speaker 1>who doesn't know that, well, American in the world didn't

0:36:49.239 --> 0:36:54.720
<v Speaker 1>know that until Framing a Heart Study actually published its results. Yeah,

0:36:54.760 --> 0:36:57.840
<v Speaker 1>here's one that. Um, if you're in your forties and

0:36:57.920 --> 0:37:00.080
<v Speaker 1>you go to get a physical, there's a pretty to

0:37:00.120 --> 0:37:03.000
<v Speaker 1>get a chance. At some point after your labs, your

0:37:03.040 --> 0:37:06.480
<v Speaker 1>doctor will talk to you about your f R S score.

0:37:06.520 --> 0:37:09.759
<v Speaker 1>You're Framing Him risk score. It is still widely used

0:37:09.800 --> 0:37:12.760
<v Speaker 1>today as the standard. And that is the very sad

0:37:12.920 --> 0:37:17.080
<v Speaker 1>moment where your doctor says you have this much of

0:37:17.120 --> 0:37:22.200
<v Speaker 1>a percentage risk of of developing heart disease within ten

0:37:22.280 --> 0:37:25.920
<v Speaker 1>years from this state. They tell you have a hundred

0:37:25.920 --> 0:37:28.520
<v Speaker 1>and three risk. You say, well, what can it go

0:37:28.600 --> 0:37:31.839
<v Speaker 1>up to and they say a hundred Yeah, that's not good. Um,

0:37:32.000 --> 0:37:35.360
<v Speaker 1>so there's the Framing HUM risk score is based on

0:37:35.440 --> 0:37:38.439
<v Speaker 1>a bunch of different risk factors. And by the way,

0:37:38.480 --> 0:37:41.279
<v Speaker 1>the term risk factor was coined from the Framing Him

0:37:41.560 --> 0:37:45.719
<v Speaker 1>Heart study, So that's another thing it gave to the world. Uh.

0:37:45.760 --> 0:37:48.920
<v Speaker 1>Your risk factors are based on your age, your gender,

0:37:49.520 --> 0:37:54.080
<v Speaker 1>total cholesterol, HDL cholesterol, whether you have diabetes or not,

0:37:54.120 --> 0:37:57.160
<v Speaker 1>whether you smoke or not, and your systolic blood pressure.

0:37:57.840 --> 0:38:00.000
<v Speaker 1>You put all this together, each of those gets a score.

0:38:00.480 --> 0:38:04.239
<v Speaker 1>You can come up with a really really good indicator

0:38:04.600 --> 0:38:06.760
<v Speaker 1>of whether you're going to come down with a cardio

0:38:06.800 --> 0:38:10.960
<v Speaker 1>of vascular disease in ten years. If you're a white guy, um,

0:38:11.000 --> 0:38:13.799
<v Speaker 1>to a lesser extent, if you're an African American guy,

0:38:14.280 --> 0:38:17.440
<v Speaker 1>to a much lesser extent, if you're a woman of

0:38:17.800 --> 0:38:20.640
<v Speaker 1>I think any um ethnicity. Do you get a piscol

0:38:20.680 --> 0:38:24.120
<v Speaker 1>every year? I try to. It's been Oh it hasn't

0:38:24.120 --> 0:38:26.160
<v Speaker 1>been a year yet. I'm just under a year right now,

0:38:26.160 --> 0:38:28.319
<v Speaker 1>but I need to find a new doctor. Are you.

0:38:28.480 --> 0:38:32.960
<v Speaker 1>Uh how's your cholesterol? It's great man? My family dude?

0:38:33.680 --> 0:38:36.480
<v Speaker 1>Oh yeah, is that it runs high? Well? I mean

0:38:36.560 --> 0:38:38.880
<v Speaker 1>I certainly do don't do myself any favors with my

0:38:38.920 --> 0:38:41.640
<v Speaker 1>weight in my diet, but me, my brother, and my

0:38:41.719 --> 0:38:46.279
<v Speaker 1>sister are all on cholesterol medication. Oh is that right? Statens?

0:38:46.360 --> 0:38:48.680
<v Speaker 1>Is that what it's called? And and my brother like

0:38:48.880 --> 0:38:51.680
<v Speaker 1>is in great shape, and so's my sister. So it's

0:38:51.760 --> 0:38:55.880
<v Speaker 1>ah yeah, I mean it's just a totally Bryant family tradition,

0:38:56.080 --> 0:39:00.360
<v Speaker 1>just naturally high cholesterol. Huh. Well, I mean my dementia

0:39:00.440 --> 0:39:03.000
<v Speaker 1>runs in my family, so I'm toast one way or another.

0:39:03.160 --> 0:39:05.200
<v Speaker 1>Oh yeah, I mean it's basically you look at your

0:39:05.239 --> 0:39:09.920
<v Speaker 1>family history and spin the big wheel. What's gonna kill me? Right,

0:39:10.040 --> 0:39:13.560
<v Speaker 1>It's like common medical science, finally care for mine. Let's

0:39:13.560 --> 0:39:16.399
<v Speaker 1>go with that one first. Well, thank god for statins there,

0:39:16.440 --> 0:39:20.520
<v Speaker 1>you know now my cholesterol is great. So I since

0:39:20.600 --> 0:39:23.200
<v Speaker 1>I went last went to the doctor, I've begun to

0:39:23.280 --> 0:39:26.719
<v Speaker 1>introduce butter into my diet way more than I ever

0:39:26.760 --> 0:39:30.239
<v Speaker 1>had before. But I love yes, of course, Um like

0:39:30.280 --> 0:39:32.080
<v Speaker 1>a really if it has like a picture of an

0:39:32.120 --> 0:39:35.200
<v Speaker 1>Amish person on the cover of the package, go with

0:39:35.320 --> 0:39:38.680
<v Speaker 1>that butter butter. Yeah, And I actually I read a

0:39:38.719 --> 0:39:42.880
<v Speaker 1>taste test on maybe rancor or something like that of

0:39:43.000 --> 0:39:48.000
<v Speaker 1>butters and apparently the ones that are like a pound

0:39:48.560 --> 0:39:51.600
<v Speaker 1>really don't taste much better than like Carrie gold that

0:39:51.680 --> 0:39:54.640
<v Speaker 1>you get at the grocery store just about any grocery store.

0:39:55.040 --> 0:39:57.760
<v Speaker 1>So I found like that's good. I'm not really missing

0:39:57.760 --> 0:40:00.440
<v Speaker 1>out on anything. Um, I'll just eat more cheese butter

0:40:01.239 --> 0:40:03.160
<v Speaker 1>and just like a little bit of butter on some

0:40:03.239 --> 0:40:07.000
<v Speaker 1>bread is a really like delightful little treat um ten

0:40:07.080 --> 0:40:10.640
<v Speaker 1>times a day. So I'm actually really interested to see

0:40:10.680 --> 0:40:13.040
<v Speaker 1>what my cholesterol is like this year. I'm I'm basically

0:40:13.080 --> 0:40:15.480
<v Speaker 1>just performing a test on myself right now. Well, and

0:40:15.480 --> 0:40:18.479
<v Speaker 1>they've learned so much in the past like ten years

0:40:18.560 --> 0:40:22.200
<v Speaker 1>or so about good fats and bad fats and low

0:40:22.239 --> 0:40:25.480
<v Speaker 1>fat foods really not being all they're cracked up to be,

0:40:25.480 --> 0:40:27.520
<v Speaker 1>because then they're packed with other things that are bad

0:40:27.560 --> 0:40:30.759
<v Speaker 1>for you, especially high freak toose coins from Yeah it's good,

0:40:30.840 --> 0:40:34.640
<v Speaker 1>we go with a good uh local butter called banner butter.

0:40:35.320 --> 0:40:38.799
<v Speaker 1>Mm hmm, it's it's good and you know, who knows

0:40:38.800 --> 0:40:41.000
<v Speaker 1>if it tastes a better, but it's it's locally made,

0:40:41.040 --> 0:40:43.120
<v Speaker 1>so that's always nice. Is it made from those doomed

0:40:43.160 --> 0:40:45.640
<v Speaker 1>goats across the street from you know, we just fed

0:40:45.640 --> 0:40:48.000
<v Speaker 1>them yesterday though, did you did you go? I'm so

0:40:48.000 --> 0:40:50.319
<v Speaker 1>sorry for what's going to happen to you know we.

0:40:50.400 --> 0:40:52.960
<v Speaker 1>I don't think they're doomed. I think they are are

0:40:53.040 --> 0:40:57.880
<v Speaker 1>being raised again and sent to Jamaica. Not for food

0:40:58.680 --> 0:41:05.239
<v Speaker 1>for what for for milk and cheese to raise people's spirits. Well,

0:41:05.239 --> 0:41:08.959
<v Speaker 1>they certainly do that, those goats playing. But yeah, it's

0:41:09.000 --> 0:41:12.880
<v Speaker 1>not like every goat has to be eaten to have worth. No,

0:41:12.960 --> 0:41:20.520
<v Speaker 1>I agree. I'm just saying they're also milked in there cheese.

0:41:21.280 --> 0:41:23.440
<v Speaker 1>We save all our Emily is a juicing theme now.

0:41:23.480 --> 0:41:27.120
<v Speaker 1>So we have a lot of um green scraps now,

0:41:27.760 --> 0:41:29.839
<v Speaker 1>so we just save them all and then about two

0:41:29.880 --> 0:41:32.319
<v Speaker 1>times a week we'll we'll take the kid over there

0:41:32.320 --> 0:41:34.600
<v Speaker 1>and feed the goats and it's pretty fun. They bray

0:41:34.640 --> 0:41:36.600
<v Speaker 1>at us now when we leave our house. Oh yeah,

0:41:36.640 --> 0:41:39.319
<v Speaker 1>they're like, can't you bring that over here? Pretty boomed? Yeah,

0:41:39.360 --> 0:41:42.000
<v Speaker 1>they love it. So you guys have green scraps. Let

0:41:42.000 --> 0:41:43.520
<v Speaker 1>me give you a little piece of advice to pass

0:41:43.520 --> 0:41:46.680
<v Speaker 1>along to Emily. One word, but I'm going to pronounce

0:41:46.680 --> 0:41:50.960
<v Speaker 1>it like to Vita mix. Oh dude, we've had a

0:41:51.200 --> 0:41:53.399
<v Speaker 1>a mix for like ten years. Is that what you use? Yeah,

0:41:53.640 --> 0:41:55.640
<v Speaker 1>you should have scraps. You gotta throw all that stuff

0:41:55.680 --> 0:41:59.480
<v Speaker 1>in there so you get the fiber too. Now we

0:41:59.480 --> 0:42:01.760
<v Speaker 1>we don't throw like the butt end of the celery

0:42:01.800 --> 0:42:04.200
<v Speaker 1>stalk in there. Okay, all right, stuff like that. I

0:42:04.239 --> 0:42:07.040
<v Speaker 1>got to because you know there's like there's like juicers

0:42:07.120 --> 0:42:10.920
<v Speaker 1>that just extract the juice and leave all of the fiber.

0:42:11.280 --> 0:42:12.920
<v Speaker 1>I thought that's what you were talking about. No, no no, no,

0:42:13.000 --> 0:42:14.839
<v Speaker 1>we well we do two things. We have the Vita

0:42:14.880 --> 0:42:18.120
<v Speaker 1>mix for a lot of the green smoothies and stuff.

0:42:18.600 --> 0:42:21.000
<v Speaker 1>But then we are also juicing some of the stuff

0:42:21.600 --> 0:42:25.360
<v Speaker 1>and uh, we'll give those the juice scraps to the goats.

0:42:25.360 --> 0:42:28.080
<v Speaker 1>But we we do both like every morning now with

0:42:28.200 --> 0:42:31.880
<v Speaker 1>some sort of green juice and smoothie. Okay, so you

0:42:31.920 --> 0:42:35.000
<v Speaker 1>do have like a juice or juicer than two? Right? Yeah? Yeah, okay,

0:42:35.160 --> 0:42:37.360
<v Speaker 1>I have another piece of advice for you. You're gonna

0:42:37.360 --> 0:42:41.040
<v Speaker 1>love this one. Get yourself some good mescal it's so

0:42:41.080 --> 0:42:45.479
<v Speaker 1>hard to find these days. Juice, some cucumber, yeah, you're

0:42:45.560 --> 0:42:48.880
<v Speaker 1>doing that. A little bit of lime juice which you

0:42:48.920 --> 0:42:51.279
<v Speaker 1>don't need to run through the juicer, and then some

0:42:51.320 --> 0:42:56.280
<v Speaker 1>sort of sweetener and thank me later. And and then mescal. Yeah,

0:42:56.440 --> 0:42:59.200
<v Speaker 1>oh yeah, much as you like, because then we've been

0:42:59.280 --> 0:43:03.279
<v Speaker 1>drinking the vodka. Uh with her fresh juices fail. Yeah,

0:43:03.280 --> 0:43:05.200
<v Speaker 1>that goes really well with the two. This is this

0:43:05.280 --> 0:43:07.640
<v Speaker 1>is a different, This is something different. You know. The

0:43:07.680 --> 0:43:11.520
<v Speaker 1>mess cow really stands out with the cucumber, makes it pop. Yeah,

0:43:11.800 --> 0:43:15.000
<v Speaker 1>give it a shot. All right, are we gonna let's

0:43:15.000 --> 0:43:17.239
<v Speaker 1>bring this homeless up torturing all these poor people who

0:43:17.280 --> 0:43:19.319
<v Speaker 1>are still listening. I think we got off track with

0:43:19.360 --> 0:43:25.080
<v Speaker 1>butter and goats, so f rs is what we were

0:43:25.080 --> 0:43:28.880
<v Speaker 1>talking about. Oh, here's another one. For you. Uh, they've

0:43:28.920 --> 0:43:32.040
<v Speaker 1>just some little ancillary things they've learned over time, because

0:43:32.080 --> 0:43:34.920
<v Speaker 1>it's not just about CBD. They've learned about things like

0:43:35.560 --> 0:43:39.719
<v Speaker 1>um depression and stress and anxiety, sleep apnea for one,

0:43:40.040 --> 0:43:43.279
<v Speaker 1>increasing a risk of stroke. And then they gave a

0:43:43.360 --> 0:43:47.960
<v Speaker 1>really uh ingenious thing when they just said, hey, we've

0:43:48.000 --> 0:43:50.920
<v Speaker 1>got all these people over this big chunk of time,

0:43:51.480 --> 0:43:54.239
<v Speaker 1>so why don't we start seeing if people will give

0:43:54.280 --> 0:43:57.160
<v Speaker 1>us a little bit of brain matter upon death and

0:43:57.200 --> 0:44:01.040
<v Speaker 1>we can start looking into things like Alzheimer's and dementia. Yeah,

0:44:01.440 --> 0:44:03.800
<v Speaker 1>and they've actually found recently, at least in the framing

0:44:03.800 --> 0:44:07.200
<v Speaker 1>and population, dementia's going down, which hopefully means that it's

0:44:07.239 --> 0:44:10.000
<v Speaker 1>going down in the larger population as well. But yeah,

0:44:10.040 --> 0:44:12.160
<v Speaker 1>they have all this study data and they say, well,

0:44:12.200 --> 0:44:15.239
<v Speaker 1>let's start mining it for other diseases as well. And

0:44:15.400 --> 0:44:19.000
<v Speaker 1>it's becoming not just a gold standard for cardiovascular disease,

0:44:19.040 --> 0:44:23.680
<v Speaker 1>but for like other neurological diseases as well, and eventually,

0:44:23.960 --> 0:44:27.719
<v Speaker 1>almost certainly it will become the gold standard for genetic

0:44:27.760 --> 0:44:32.120
<v Speaker 1>investigations into diseases as well. Yeah, And like we've been

0:44:32.120 --> 0:44:35.000
<v Speaker 1>talking about the lack of diversity over the like, basically

0:44:35.040 --> 0:44:38.279
<v Speaker 1>this is really good results for white dudes. They have

0:44:38.400 --> 0:44:42.560
<v Speaker 1>since over the years included other calculators for minority groups.

0:44:42.600 --> 0:44:46.400
<v Speaker 1>For women, Uh, the f risk calculator is for British

0:44:46.440 --> 0:44:51.600
<v Speaker 1>minority groups. The Reynolds Risk score has been developed for women. Uh.

0:44:51.680 --> 0:44:54.120
<v Speaker 1>And I think a couple of others too, where they've

0:44:54.160 --> 0:44:57.040
<v Speaker 1>tried to take all this data and then tailor it

0:44:57.200 --> 0:45:01.279
<v Speaker 1>to a specific group. They've also found that people who

0:45:01.320 --> 0:45:05.120
<v Speaker 1>go on vacation to have lower incidences of cardiovascular disease.

0:45:05.160 --> 0:45:11.319
<v Speaker 1>So remember to vacate at least twice a year. Uh.

0:45:11.400 --> 0:45:13.359
<v Speaker 1>What else? Oh that thing about dating people who look

0:45:13.400 --> 0:45:16.840
<v Speaker 1>like you? That was interesting. Yeah, I guess they saw

0:45:16.880 --> 0:45:20.200
<v Speaker 1>that in the initial cohort, a lot of people, a

0:45:20.200 --> 0:45:23.200
<v Speaker 1>lot of married couples looked alike. And they think that

0:45:23.239 --> 0:45:27.800
<v Speaker 1>people were preferentially seeking out people about their height, their weight, um,

0:45:27.840 --> 0:45:30.280
<v Speaker 1>maybe their hair color, who knows, but that that's largely

0:45:30.320 --> 0:45:34.879
<v Speaker 1>gone away in the second and third cohorts. I also

0:45:34.920 --> 0:45:37.600
<v Speaker 1>read an article that UM said that they found that

0:45:37.680 --> 0:45:41.160
<v Speaker 1>human evolution is still going on. They're noticing that each

0:45:41.200 --> 0:45:45.840
<v Speaker 1>generation of women is slightly shorter, slightly pump plumper, and

0:45:45.840 --> 0:45:48.120
<v Speaker 1>I'm talking like a tenth of an inch shorter and

0:45:48.239 --> 0:45:51.239
<v Speaker 1>something like a half of a pound heavier, but that

0:45:51.280 --> 0:45:56.680
<v Speaker 1>they this is traditionally tied to UM being able to

0:45:56.920 --> 0:46:02.239
<v Speaker 1>easy more easily UM have live births, another way to

0:46:02.239 --> 0:46:06.520
<v Speaker 1>put his having kids, because a lot easier to have kids, right,

0:46:07.280 --> 0:46:11.960
<v Speaker 1>is wrong with me? Um? So they think that this

0:46:12.040 --> 0:46:15.399
<v Speaker 1>is like as they're seeing in in framing evolution still

0:46:15.440 --> 0:46:17.800
<v Speaker 1>in place, which very much contradicts what a lot of

0:46:17.880 --> 0:46:20.719
<v Speaker 1>people have long said, which is humans took ourselves out

0:46:20.760 --> 0:46:23.480
<v Speaker 1>of evolution a while back when we started intervening in

0:46:23.560 --> 0:46:26.640
<v Speaker 1>medicine and things like that. So that just the this

0:46:27.239 --> 0:46:31.840
<v Speaker 1>cool pictures of humanity that this is provided. It's pretty sweet,

0:46:32.160 --> 0:46:35.440
<v Speaker 1>pretty pretty great study. Actually it is, and hopefully this

0:46:35.440 --> 0:46:38.360
<v Speaker 1>will be I know they had a little trouble getting

0:46:38.400 --> 0:46:40.960
<v Speaker 1>extended funding at one point, and they had some private

0:46:41.239 --> 0:46:44.839
<v Speaker 1>institutions that stepped up, some kind of unusual ones like

0:46:45.160 --> 0:46:47.880
<v Speaker 1>Oscar Meyer, and I believe that one of the cigarette companies, right,

0:46:48.600 --> 0:46:53.680
<v Speaker 1>and then Nixon eventually he got out the checkbook and

0:46:53.680 --> 0:46:56.520
<v Speaker 1>wrote him a big fat check, probably probably the thing

0:46:56.600 --> 0:46:59.239
<v Speaker 1>that he's most known for his president too, I think,

0:46:59.320 --> 0:47:02.239
<v Speaker 1>so continuing the framing Him heart study, I read that

0:47:02.320 --> 0:47:05.160
<v Speaker 1>he got out the checkbook or or twisted the arm

0:47:05.160 --> 0:47:08.799
<v Speaker 1>of the National Heart Institute. Um, because one of the

0:47:08.880 --> 0:47:13.440
<v Speaker 1>early champions of the Heart Study was Nixon's personal doctor,

0:47:13.480 --> 0:47:16.239
<v Speaker 1>and that's how it all went down. He's like, turn

0:47:16.280 --> 0:47:18.840
<v Speaker 1>your head and cough and give us fifty million dollars.

0:47:20.760 --> 0:47:23.799
<v Speaker 1>You got anything else? Nope, Well, we could probably just

0:47:23.840 --> 0:47:26.399
<v Speaker 1>talk about framing him for days, but we're gonna stop now.

0:47:26.480 --> 0:47:28.719
<v Speaker 1>I would urge you to go read I'm not even

0:47:28.760 --> 0:47:31.200
<v Speaker 1>sure when it was written, but a CBS Sunday Morning

0:47:31.320 --> 0:47:35.000
<v Speaker 1>article from maybe like the early two thousand's about framing

0:47:35.080 --> 0:47:36.839
<v Speaker 1>him and the Heart Study, and it really just kind

0:47:36.840 --> 0:47:38.719
<v Speaker 1>of gives you a picture of the people there. And

0:47:38.760 --> 0:47:40.640
<v Speaker 1>then I also saw when that was critical of it

0:47:40.680 --> 0:47:44.080
<v Speaker 1>that was pretty interesting, called framing him follies on something

0:47:44.080 --> 0:47:47.480
<v Speaker 1>called protein power dot com. Um, just go read them both.

0:47:47.520 --> 0:47:50.560
<v Speaker 1>You'll enjoy it. Uh. And since I said you'll enjoy it,

0:47:50.560 --> 0:47:55.640
<v Speaker 1>it's time for listener, ma'am. I'm gonna call this follow

0:47:55.719 --> 0:47:59.759
<v Speaker 1>up on the beach near the Hearst Castles a couple

0:47:59.800 --> 0:48:01.680
<v Speaker 1>of week to go. We talked about the when I

0:48:01.719 --> 0:48:04.240
<v Speaker 1>went and I thought I didn't think there are Walrus's.

0:48:04.280 --> 0:48:06.319
<v Speaker 1>I just couldn't remember what they were, and they are,

0:48:06.360 --> 0:48:09.359
<v Speaker 1>in fact elephant seals. I said they were sea lions.

0:48:09.400 --> 0:48:11.760
<v Speaker 1>That was wrong. Oh that's right, you did say sea lions.

0:48:12.160 --> 0:48:14.279
<v Speaker 1>Well that's right. Um. Hey, guys, listen to the show

0:48:14.320 --> 0:48:18.240
<v Speaker 1>on Walrus's and Chuck referred to the beach near Herst Castle.

0:48:18.560 --> 0:48:24.000
<v Speaker 1>They call it Piedras Blanca's Elephant Seal Rock Rookery. I

0:48:24.000 --> 0:48:25.600
<v Speaker 1>think it's funny that you had mentioned that because for

0:48:25.600 --> 0:48:28.120
<v Speaker 1>our honeymoon last June, my husband and I stayed in

0:48:28.680 --> 0:48:32.480
<v Speaker 1>Oceano for a week near Pismo Beach, and one of

0:48:32.480 --> 0:48:33.960
<v Speaker 1>our activities for a day was to go to Hearst

0:48:34.000 --> 0:48:37.120
<v Speaker 1>Castle and Elephant Seal Beach. Of course, hers Castle was amazing.

0:48:37.480 --> 0:48:39.040
<v Speaker 1>I still haven't been in there. I need to check

0:48:39.040 --> 0:48:42.319
<v Speaker 1>that out. Uh. You know that one party scene at

0:48:42.640 --> 0:48:45.880
<v Speaker 1>in Billy Madison was filmed at Hurst Castle. Yeah, I

0:48:45.880 --> 0:48:50.120
<v Speaker 1>never saw that. Still. Um. Getting to see the architectural

0:48:50.239 --> 0:48:53.160
<v Speaker 1>history and artifacts that reside there were great. But the beach, unfortunately,

0:48:53.200 --> 0:48:55.520
<v Speaker 1>on that particularly, was pretty quiet. I think it was

0:48:55.560 --> 0:48:57.160
<v Speaker 1>a nap time by the time we got there, because

0:48:57.200 --> 0:49:00.919
<v Speaker 1>most of them are sleeping or adjusting and going back

0:49:00.960 --> 0:49:03.879
<v Speaker 1>to sleep. Well, it's still fun to see him. It's

0:49:03.880 --> 0:49:06.759
<v Speaker 1>not like they're out there with with the beach ball.

0:49:06.880 --> 0:49:10.200
<v Speaker 1>Like in cartoons, it's fun. It's fun to be overpowered

0:49:10.239 --> 0:49:13.880
<v Speaker 1>by their stench when you're down wind of that massive elephant.

0:49:13.680 --> 0:49:16.360
<v Speaker 1>That uh. There were a few males that started an altercation,

0:49:16.360 --> 0:49:18.440
<v Speaker 1>but that ended pretty quickly and wasn't all that noisy.

0:49:18.840 --> 0:49:20.840
<v Speaker 1>I think the most interesting thing on that day, besides

0:49:20.840 --> 0:49:23.040
<v Speaker 1>seeing them up close, he was watching them sleep in

0:49:23.080 --> 0:49:25.120
<v Speaker 1>the water. First, I got a little nervous because I

0:49:25.120 --> 0:49:28.400
<v Speaker 1>wasn't sure if they were alive, but after several minutes

0:49:28.400 --> 0:49:31.040
<v Speaker 1>of watching one of them, it moved once the waves

0:49:31.040 --> 0:49:34.600
<v Speaker 1>pushed it close enough to the rocks. However, if you

0:49:34.640 --> 0:49:36.440
<v Speaker 1>do suggest people to go there, please tell them to

0:49:36.440 --> 0:49:39.000
<v Speaker 1>be aware there are no feeding of the squirrel signs.

0:49:39.680 --> 0:49:42.840
<v Speaker 1>There was a group of preteens that didn't regard the

0:49:42.880 --> 0:49:45.480
<v Speaker 1>sign and literally got chased by a big, fat squirrel.

0:49:45.920 --> 0:49:48.879
<v Speaker 1>It was hilarious to watch, but a little scary. Thanks

0:49:48.880 --> 0:49:50.920
<v Speaker 1>for the show. I hope you're doing well. Keep up

0:49:50.960 --> 0:49:54.920
<v Speaker 1>the work. And that is Morrigan body and Morgan actually

0:49:54.960 --> 0:49:57.319
<v Speaker 1>just emailed back when I told her she was going

0:49:57.360 --> 0:50:01.800
<v Speaker 1>to be on and said, o MG, no way for exclamations.

0:50:02.719 --> 0:50:07.640
<v Speaker 1>Thanks smiley face emoji, and then she inserted I guess

0:50:07.680 --> 0:50:14.520
<v Speaker 1>her or previous surname Morgan Meyer's body. Okay, way to go, Morgan.

0:50:14.719 --> 0:50:17.919
<v Speaker 1>Thanks for the emojis and the exclamation points to all

0:50:17.920 --> 0:50:21.080
<v Speaker 1>for it. If you have a story you want to

0:50:21.160 --> 0:50:23.839
<v Speaker 1>straighten us out with, you can tweet to us at

0:50:23.960 --> 0:50:26.440
<v Speaker 1>josh um Clark or at s Y s K podcast.

0:50:26.800 --> 0:50:29.040
<v Speaker 1>You can also go on to Facebook dot com slash

0:50:29.120 --> 0:50:32.680
<v Speaker 1>Charles W. Chuck Bryant. You can also visit Facebook dot

0:50:32.719 --> 0:50:34.920
<v Speaker 1>com slash stuff you Should Know. Send us an email

0:50:34.960 --> 0:50:37.279
<v Speaker 1>to Stuff Podcast at how stuff Works dot com, and

0:50:37.360 --> 0:50:39.160
<v Speaker 1>join us at our home on the web, stuff you

0:50:39.200 --> 0:50:46.440
<v Speaker 1>should Know dot com. For more on this and thousands

0:50:46.440 --> 0:50:59.239
<v Speaker 1>of other topics, is it how stuff Works dot com