1 00:00:00,080 --> 00:00:03,000 Speaker 1: Hey, everybody, it's Josh and Chuck your friends, and we 2 00:00:03,080 --> 00:00:05,880 Speaker 1: are here to tell you about our upcoming book that's 3 00:00:05,920 --> 00:00:09,080 Speaker 1: coming out this fall, the first ever Stuff you Should 4 00:00:09,080 --> 00:00:12,160 Speaker 1: Know book, Chuck. That's right. What's the cool, super cool 5 00:00:12,200 --> 00:00:15,640 Speaker 1: title we came up with. It's Stuff you Should Know colon, 6 00:00:16,120 --> 00:00:20,439 Speaker 1: an incomplete compendium of mostly interesting things. That's right, and 7 00:00:20,480 --> 00:00:23,560 Speaker 1: it's coming along so great. We're super excited, you guys. 8 00:00:23,720 --> 00:00:28,040 Speaker 1: The illustrations are amazing, and there's the look of the book. 9 00:00:28,080 --> 00:00:30,639 Speaker 1: It's all just it's exactly what we hoped it would be. 10 00:00:30,680 --> 00:00:32,440 Speaker 1: And we cannot wait for you to get your hands 11 00:00:32,440 --> 00:00:34,720 Speaker 1: on it. Yes, we can't. Um, and you don't have 12 00:00:34,800 --> 00:00:36,479 Speaker 1: to wait. Actually, well you do have to wait, but 13 00:00:36,479 --> 00:00:38,400 Speaker 1: you don't have to wait to order. You can go 14 00:00:38,479 --> 00:00:42,440 Speaker 1: preorder the book right now everywhere you get books, and 15 00:00:42,880 --> 00:00:46,840 Speaker 1: you will eventually get a special gift for preordering, which 16 00:00:46,840 --> 00:00:49,519 Speaker 1: we're working on right now. That's right, So check it 17 00:00:49,520 --> 00:00:53,800 Speaker 1: out soon coming this fall. Welcome to Stuff you Should Know, 18 00:00:54,040 --> 00:01:02,720 Speaker 1: a production of My Heart Radios How Stuff Works. Hey, 19 00:01:02,760 --> 00:01:05,400 Speaker 1: and welcome to the podcast. I'm Josh Clark, and there's 20 00:01:05,480 --> 00:01:08,840 Speaker 1: Charles W. Chuck Bryant over there, and Jerry's here somewhere, 21 00:01:08,880 --> 00:01:13,000 Speaker 1: and this makes it stuff you should know, the Heart 22 00:01:13,040 --> 00:01:16,280 Speaker 1: Healthy Edition. Yeah, I've been wanting to do for a 23 00:01:16,400 --> 00:01:19,480 Speaker 1: very long time, Chuck. Yeah, and this was one that 24 00:01:19,520 --> 00:01:23,280 Speaker 1: was put together by our buddy Dave Ruse. But back 25 00:01:23,319 --> 00:01:27,440 Speaker 1: in February, and I lost it and thankfully you said, hey, 26 00:01:27,480 --> 00:01:29,720 Speaker 1: by the way, you know, we got that seven countries 27 00:01:29,760 --> 00:01:32,600 Speaker 1: thing just sitting there gathering dust. Ye, I said, Chuck, 28 00:01:32,640 --> 00:01:35,840 Speaker 1: don't lose it here. I lost it and then I 29 00:01:35,880 --> 00:01:39,039 Speaker 1: found it. I was lost, but now I'm found. And 30 00:01:40,400 --> 00:01:44,039 Speaker 1: fat is good for your body the end, I know. 31 00:01:44,959 --> 00:01:48,760 Speaker 1: But that's a that's such like a revolutionary statement these days, 32 00:01:48,880 --> 00:01:52,080 Speaker 1: radical even basically to say fat is good for your 33 00:01:52,080 --> 00:01:55,440 Speaker 1: body the end, especially our we I'll not even our age, 34 00:01:55,440 --> 00:01:59,240 Speaker 1: but anyone in America and the eighties and nineties, somebody 35 00:01:59,360 --> 00:02:06,720 Speaker 1: in our court. You mean, yeah, I do too. So um. 36 00:02:06,840 --> 00:02:09,200 Speaker 1: The reason why it's kind of radical to say that 37 00:02:09,240 --> 00:02:11,920 Speaker 1: fat is good for you is because, yeah, everybody, our age, Chuck, 38 00:02:11,960 --> 00:02:15,320 Speaker 1: knows that fat is horrible for you. And even if 39 00:02:15,360 --> 00:02:17,320 Speaker 1: you kind of know that fat's not as bad as 40 00:02:17,360 --> 00:02:20,639 Speaker 1: we used to think, you probably still don't realize how 41 00:02:20,760 --> 00:02:22,760 Speaker 1: much better it is for you than it actually is. 42 00:02:22,800 --> 00:02:25,239 Speaker 1: There still some part of you that demonizes it. And 43 00:02:25,400 --> 00:02:29,639 Speaker 1: during the eighties and the nineties you couldn't get fat 44 00:02:30,120 --> 00:02:32,839 Speaker 1: if you shook it out of a pig, like it 45 00:02:32,919 --> 00:02:35,680 Speaker 1: was nowhere to be found. In the United States, we 46 00:02:35,720 --> 00:02:40,560 Speaker 1: had low fat everything. Remember we had uh like potato 47 00:02:40,639 --> 00:02:42,960 Speaker 1: chips where they took out the fat and replaced it 48 00:02:43,000 --> 00:02:48,080 Speaker 1: with a like a diarrhea creating agent. Right, what were 49 00:02:48,120 --> 00:02:51,720 Speaker 1: those called the did this? But I think they were 50 00:02:51,760 --> 00:02:57,079 Speaker 1: like like um las ola. Weren't they called ola chips? 51 00:02:57,160 --> 00:03:02,200 Speaker 1: They should have been called oiv as. So yeah, like 52 00:03:02,240 --> 00:03:03,840 Speaker 1: we're doing all sorts of things. And one of the 53 00:03:03,880 --> 00:03:07,680 Speaker 1: worst things we did too, even worse than adding olean 54 00:03:07,840 --> 00:03:10,440 Speaker 1: or replacing fat with olean, was a takeout fat and 55 00:03:10,480 --> 00:03:13,200 Speaker 1: replace it with high fruit toast corn syrup. Because one 56 00:03:13,200 --> 00:03:16,120 Speaker 1: of the things that fat does is give food flavor, 57 00:03:16,320 --> 00:03:18,600 Speaker 1: and we take fat out of food, you still wanted 58 00:03:18,639 --> 00:03:21,919 Speaker 1: to have flavor, and if you're a food processor, one cheap, 59 00:03:21,960 --> 00:03:24,800 Speaker 1: easy way to put flavor back into it is to 60 00:03:24,880 --> 00:03:27,320 Speaker 1: put high fruit toast corn syrup into it. And so 61 00:03:27,360 --> 00:03:30,880 Speaker 1: they think that like all of this war on fat 62 00:03:31,000 --> 00:03:33,120 Speaker 1: that took place in the eighties and nineties is actually 63 00:03:33,560 --> 00:03:38,240 Speaker 1: at least partially, if not fully responsible for the outbreak 64 00:03:38,280 --> 00:03:43,520 Speaker 1: of chronic diseases that we're seeing now, including obesity and 65 00:03:43,760 --> 00:03:47,400 Speaker 1: um diabetes that is just epidemic right now in the 66 00:03:47,480 --> 00:03:50,720 Speaker 1: United States. Yeah, it was so ingrained in us that 67 00:03:52,840 --> 00:03:55,640 Speaker 1: even after doing this podcast episode and knowing what we 68 00:03:55,720 --> 00:04:00,680 Speaker 1: now know, it's still like you say things like, you know, boy, 69 00:04:00,840 --> 00:04:02,920 Speaker 1: that steak you just feel like like clogging up your 70 00:04:03,160 --> 00:04:05,720 Speaker 1: arteries as you know that fat just gets wedged in there. 71 00:04:05,760 --> 00:04:09,960 Speaker 1: You just get these mental images of fat just like 72 00:04:10,080 --> 00:04:14,720 Speaker 1: breaking off of food and sticking to your blood vessels. Right, Yeah, 73 00:04:14,920 --> 00:04:17,640 Speaker 1: like this is really unhealthier, this is super indulgent or 74 00:04:17,680 --> 00:04:20,800 Speaker 1: something like that, And that just may not necessarily be 75 00:04:20,880 --> 00:04:24,520 Speaker 1: the case, but yeah, we had a number done on us, basically, 76 00:04:24,839 --> 00:04:27,559 Speaker 1: and we're still crawling out from under it. And what's 77 00:04:27,800 --> 00:04:32,280 Speaker 1: the most magnificently amazing thing is that basically all of this, 78 00:04:32,640 --> 00:04:36,520 Speaker 1: the war on fat, the low fat trend, the possibly 79 00:04:36,560 --> 00:04:41,000 Speaker 1: the diabetes, and the obesity that resulted from taking out 80 00:04:41,000 --> 00:04:44,400 Speaker 1: faster and placing it with sugar, all of this stuff 81 00:04:44,760 --> 00:04:50,160 Speaker 1: came from one study that was conducted back starting back 82 00:04:50,200 --> 00:04:52,880 Speaker 1: in the fifties that some people are like, the study 83 00:04:53,000 --> 00:04:58,400 Speaker 1: isn't even legitimate methodologically, yeah, so that is the seven 84 00:04:58,520 --> 00:05:03,640 Speaker 1: country study. And uh. The creator of the seven country 85 00:05:03,640 --> 00:05:07,200 Speaker 1: study was someone named Dr Ansel keys Um who was 86 00:05:07,360 --> 00:05:12,159 Speaker 1: married and published and this is I'm not gonna We'll 87 00:05:12,200 --> 00:05:15,800 Speaker 1: just let this speak for itself. They published a number 88 00:05:15,960 --> 00:05:20,720 Speaker 1: of high volume selling books about the Mediterranean diet. That 89 00:05:20,760 --> 00:05:26,280 Speaker 1: these cookbooks and um sometimes like the very first one 90 00:05:26,400 --> 00:05:29,440 Speaker 1: was only what like two years after they started doing 91 00:05:29,440 --> 00:05:33,320 Speaker 1: this study. So they have been accused of cherry picking 92 00:05:33,360 --> 00:05:40,240 Speaker 1: their data and promoting correlation as causation and uh. As 93 00:05:40,240 --> 00:05:43,680 Speaker 1: a result of all this, the United States very famously 94 00:05:43,880 --> 00:05:46,240 Speaker 1: came out with the food Pyramid that we was drilled 95 00:05:46,240 --> 00:05:50,480 Speaker 1: into our heads in school and said fat is cholesterol 96 00:05:50,800 --> 00:05:55,119 Speaker 1: and that is heart disease and eating fatty things will 97 00:05:55,200 --> 00:05:59,280 Speaker 1: kill you. Yes, like ipso fact. Though, the problem is 98 00:05:59,279 --> 00:06:02,279 Speaker 1: is that it was all based those recommendations. That food 99 00:06:02,279 --> 00:06:05,640 Speaker 1: pyramid was all based on the study and not any 100 00:06:05,720 --> 00:06:08,640 Speaker 1: kind of like clinical data. It was just basically a 101 00:06:08,720 --> 00:06:14,000 Speaker 1: study that was set up and designed to support a hypothesis, 102 00:06:14,080 --> 00:06:17,360 Speaker 1: not really test a hypothesis so much as support this 103 00:06:17,440 --> 00:06:24,160 Speaker 1: hypothesis by Dr Antel keys that saturated fats uh rose 104 00:06:24,400 --> 00:06:27,960 Speaker 1: cholesterol levels in your blood and that increased cholesterol levels 105 00:06:27,960 --> 00:06:32,040 Speaker 1: in your blood would kill you through heart disease. And 106 00:06:32,080 --> 00:06:36,400 Speaker 1: so doctor keys Is been very much demonized over the 107 00:06:36,480 --> 00:06:39,000 Speaker 1: years as people have figured out like, no, fats aren't 108 00:06:39,040 --> 00:06:42,279 Speaker 1: bad for you and actually you need them. But there's 109 00:06:42,279 --> 00:06:44,919 Speaker 1: also been like an effort to reform him too. And 110 00:06:45,000 --> 00:06:50,920 Speaker 1: in his defense, he wasn't just some some psycho narcissist doctor. 111 00:06:51,040 --> 00:06:54,320 Speaker 1: From what I could tell, he is. Um. He invented 112 00:06:54,360 --> 00:06:58,599 Speaker 1: k rations. K rations are called that after him keys Um. Yeah, 113 00:06:58,640 --> 00:07:01,240 Speaker 1: that that like kept a law of g I S alive. 114 00:07:01,279 --> 00:07:04,880 Speaker 1: And World War two, Um, he was a major part 115 00:07:04,880 --> 00:07:09,920 Speaker 1: of the Minnesota's starvation experiment where volunteers conscious just objectors 116 00:07:10,000 --> 00:07:13,440 Speaker 1: and World War two volunteered to be starved um so 117 00:07:13,480 --> 00:07:16,880 Speaker 1: that the scientists could figure out how to refeed people 118 00:07:16,920 --> 00:07:20,960 Speaker 1: without killing them, which became very useful when we liberated 119 00:07:21,000 --> 00:07:24,920 Speaker 1: the pow cants in Germany and some of the occupied areas. 120 00:07:25,120 --> 00:07:28,240 Speaker 1: So he was like a good I don't okay, I 121 00:07:28,280 --> 00:07:29,720 Speaker 1: don't know enough about him to say he was a 122 00:07:29,720 --> 00:07:31,600 Speaker 1: good person, but I don't think he was like an 123 00:07:31,600 --> 00:07:35,480 Speaker 1: evil person by any stretch of the imagination. And also 124 00:07:35,560 --> 00:07:37,480 Speaker 1: the reason that he started conducting the study in the 125 00:07:37,480 --> 00:07:40,760 Speaker 1: first place was because there was an epidemic of middle 126 00:07:40,800 --> 00:07:44,680 Speaker 1: aged men, in particular in America who were just dying 127 00:07:44,800 --> 00:07:46,880 Speaker 1: left and right of heart disease, and he wanted to 128 00:07:46,920 --> 00:07:49,400 Speaker 1: figure out what the problem was. He also started the 129 00:07:49,440 --> 00:07:56,400 Speaker 1: K pop phenomenon, so catchy and great. I don't know 130 00:07:56,440 --> 00:07:58,240 Speaker 1: any K pop I know the kids love it, though 131 00:07:59,000 --> 00:08:01,760 Speaker 1: they do, they're not for it. That one B twos 132 00:08:01,800 --> 00:08:03,760 Speaker 1: band or something like that. I can't I can't remember 133 00:08:03,800 --> 00:08:06,160 Speaker 1: their name, no idea, but if they're called the B 134 00:08:06,240 --> 00:08:09,000 Speaker 1: fifty twos, then they should be sued because that's been taken. 135 00:08:10,080 --> 00:08:13,720 Speaker 1: So Dr Ansel Keys as an American from Minnesota, a 136 00:08:13,720 --> 00:08:19,800 Speaker 1: physiologist and in the forties when you know, uh, the 137 00:08:19,880 --> 00:08:21,760 Speaker 1: Don Drapers, although that was a little later, but the 138 00:08:21,800 --> 00:08:24,600 Speaker 1: Don Drapers of the world were falling over dead from 139 00:08:24,720 --> 00:08:27,200 Speaker 1: smoking cigarettes all the time and eating steak for lunch 140 00:08:27,200 --> 00:08:29,920 Speaker 1: and martinis for lunch. He said, you know what, I'm 141 00:08:29,920 --> 00:08:33,120 Speaker 1: gonna figure this out and see what's going on, and 142 00:08:33,200 --> 00:08:37,320 Speaker 1: I'm gonna identify some risk factors why men in this 143 00:08:37,360 --> 00:08:40,120 Speaker 1: country are developing heart disease and men around the world. 144 00:08:40,280 --> 00:08:42,720 Speaker 1: Is what it ended up being. But it started in 145 00:08:42,720 --> 00:08:46,160 Speaker 1: Minnesota where he did a little pilot study. And while 146 00:08:46,200 --> 00:08:48,600 Speaker 1: he was doing that, he got a message from a 147 00:08:48,640 --> 00:08:53,000 Speaker 1: colleague in Italy who said, in southern Italy we got 148 00:08:53,000 --> 00:08:57,880 Speaker 1: to no heart to disease. Everybody's a healthy And he said, really, 149 00:08:58,160 --> 00:09:00,559 Speaker 1: and and he also said, southern Italy is really nice. 150 00:09:00,600 --> 00:09:03,080 Speaker 1: You should come visit. And so he went there in 151 00:09:03,120 --> 00:09:05,800 Speaker 1: the nineteen fifties and a bet, I mean, Southern Italy 152 00:09:05,840 --> 00:09:07,319 Speaker 1: is still great, but a bet in the early nineteen 153 00:09:07,360 --> 00:09:10,560 Speaker 1: fifties it was just idyllic. And he went down there 154 00:09:11,080 --> 00:09:16,920 Speaker 1: and he started these informal studies comparing business business executives 155 00:09:17,400 --> 00:09:22,160 Speaker 1: with the working class men of southern Italy, measuring serum 156 00:09:22,240 --> 00:09:26,760 Speaker 1: cholesterol levels, talking about what you're eating, getting the data 157 00:09:26,840 --> 00:09:29,559 Speaker 1: on heart disease and heart attacks there from the hospitals, 158 00:09:30,360 --> 00:09:34,560 Speaker 1: and he started to form this hypothesis that you know what, dudes, 159 00:09:34,720 --> 00:09:38,760 Speaker 1: middle aged dudes that have higher serum cholesterol levels are 160 00:09:39,240 --> 00:09:41,400 Speaker 1: more likely to die or at least suffer from a 161 00:09:41,400 --> 00:09:45,320 Speaker 1: heart attack. Yes, yes, And that was like the beginning. 162 00:09:45,720 --> 00:09:47,880 Speaker 1: That was yeah, And that was his hypothesis. And it's 163 00:09:47,880 --> 00:09:51,600 Speaker 1: pretty sound hypothesis, especially based on some of the data 164 00:09:51,640 --> 00:09:55,040 Speaker 1: that he'd seen, because he around this time after his 165 00:09:55,160 --> 00:09:57,760 Speaker 1: he was intrigued by his friend in southern Italy and 166 00:09:57,760 --> 00:10:00,320 Speaker 1: his trip to southern Italy um, which, by the way, 167 00:10:00,360 --> 00:10:02,120 Speaker 1: he fell in love with Southern Italy so much he 168 00:10:02,200 --> 00:10:05,800 Speaker 1: shot shop there and I believe lived out his life 169 00:10:05,960 --> 00:10:11,240 Speaker 1: till age one oh one. Yeah. Um, And that proves it. 170 00:10:11,240 --> 00:10:14,839 Speaker 1: It basically does, because I believe he did adhere pretty 171 00:10:14,880 --> 00:10:18,400 Speaker 1: strictly to the Mediterranean diet he espoused. He was no hypocrite, 172 00:10:18,920 --> 00:10:23,120 Speaker 1: but um he uh. He started poking around and getting 173 00:10:23,160 --> 00:10:26,400 Speaker 1: his hands on whatever data he could four things like 174 00:10:26,840 --> 00:10:31,400 Speaker 1: fat intake in the diet and incidences of heart disease 175 00:10:31,400 --> 00:10:33,880 Speaker 1: and heart attacks wherever he could get it in the world. 176 00:10:33,880 --> 00:10:37,920 Speaker 1: And he compiled um data from twenty two different countries 177 00:10:39,280 --> 00:10:41,120 Speaker 1: and he said, wow, this is really kind of all 178 00:10:41,160 --> 00:10:43,960 Speaker 1: over the place. I'll just select six of these countries 179 00:10:44,000 --> 00:10:46,920 Speaker 1: that really proved my point. And he created what's known 180 00:10:46,960 --> 00:10:48,920 Speaker 1: as the six country graph, which a lot of people 181 00:10:49,000 --> 00:10:52,240 Speaker 1: confused with the seven country Study, but it pre pre 182 00:10:52,400 --> 00:10:54,880 Speaker 1: dated the seven country study. But it was this thing 183 00:10:54,920 --> 00:10:57,800 Speaker 1: that was kind of like the transition period between first 184 00:10:57,800 --> 00:11:01,520 Speaker 1: forming this hypothesis and begin the seven country study. The 185 00:11:01,960 --> 00:11:05,640 Speaker 1: six country graph was kind of like the connective tissue 186 00:11:05,679 --> 00:11:08,440 Speaker 1: between the two and it also told him where to 187 00:11:08,520 --> 00:11:12,840 Speaker 1: look to really find the biggest disparities that might support 188 00:11:13,040 --> 00:11:16,880 Speaker 1: or um undermine his hypothesis. And so we got to 189 00:11:16,920 --> 00:11:20,640 Speaker 1: work looking around and contacting people around the world and said, hey, 190 00:11:20,679 --> 00:11:24,040 Speaker 1: I have zero funding to offer you. I know that 191 00:11:24,080 --> 00:11:27,000 Speaker 1: World War two just ended and everybody is basically trying 192 00:11:27,040 --> 00:11:30,040 Speaker 1: to rebuild their economy and their nation in Europe is 193 00:11:30,120 --> 00:11:33,120 Speaker 1: kind of war torn and shattered, and um, Japan has 194 00:11:33,320 --> 00:11:36,560 Speaker 1: had bombs dropped on it. But do you want to 195 00:11:36,600 --> 00:11:40,000 Speaker 1: start studying whether eating steak is bad for you and 196 00:11:40,040 --> 00:11:44,880 Speaker 1: going to kill you? And actually, astoundingly some country said yes, yeah. 197 00:11:44,920 --> 00:11:51,000 Speaker 1: So the countries ended up being Italy, Spain, South Africa, Japan, Finland, 198 00:11:51,080 --> 00:11:54,000 Speaker 1: the US. And I guess was that Greece was the 199 00:11:54,080 --> 00:11:57,720 Speaker 1: last one. Did that count Okay, Greece increase counts? Well, 200 00:11:57,760 --> 00:12:04,880 Speaker 1: I mean I knew, yeah, I know, grease increases the word. So, um, 201 00:12:04,920 --> 00:12:07,480 Speaker 1: it was time in the in the mid nineteen fifties. 202 00:12:07,480 --> 00:12:10,320 Speaker 1: He had the interested countries and the interested parties, so 203 00:12:10,400 --> 00:12:15,360 Speaker 1: in he developed these select populations and you kind of 204 00:12:15,360 --> 00:12:18,760 Speaker 1: teased it earlier calling us cohorts. These populations of men 205 00:12:18,840 --> 00:12:21,800 Speaker 1: they referred to as cohorts in the study so when 206 00:12:21,800 --> 00:12:24,600 Speaker 1: you hear say cohort, it's not like one guy, it's 207 00:12:24,600 --> 00:12:29,440 Speaker 1: a population of guys. Right. So the seven countries they 208 00:12:29,440 --> 00:12:33,520 Speaker 1: would monitor for twenty five years and ideally lead to 209 00:12:33,679 --> 00:12:37,920 Speaker 1: what risk factors would lead to heart disease. And that 210 00:12:38,000 --> 00:12:40,160 Speaker 1: was his goal was, I'm going to find out what 211 00:12:40,200 --> 00:12:45,599 Speaker 1: these risk factors are, provide some evidence, and then say 212 00:12:46,240 --> 00:12:50,840 Speaker 1: here's what you should be eating. Basically, Yes, so that 213 00:12:50,960 --> 00:12:53,720 Speaker 1: I mean, that's that's exactly what he did. Like you said, 214 00:12:53,760 --> 00:12:57,079 Speaker 1: within two years of starting this um study, which was 215 00:12:57,120 --> 00:13:00,840 Speaker 1: supposed to last and actually did twenty five and some 216 00:13:00,880 --> 00:13:03,960 Speaker 1: of the people who were the original participants were studied 217 00:13:04,000 --> 00:13:08,520 Speaker 1: for more than forty forty years. But um, within two 218 00:13:08,600 --> 00:13:12,920 Speaker 1: years he uh, he turned around and published that cookbook. 219 00:13:13,200 --> 00:13:17,640 Speaker 1: That's how certain he was of his hypothesis being correct. Yeah, 220 00:13:17,640 --> 00:13:19,200 Speaker 1: and I don't you know, we don't want to poop 221 00:13:19,200 --> 00:13:22,520 Speaker 1: of the Mediterranean diet. I think the idea, I'm sure 222 00:13:22,559 --> 00:13:26,400 Speaker 1: the Mediterranean diet is it can be quite healthy. The idea, though, 223 00:13:26,480 --> 00:13:28,600 Speaker 1: is is he shouldn't just be like, I'm gonna eat 224 00:13:28,600 --> 00:13:32,760 Speaker 1: low fat, because that's what happened in America. Everyone didn't say, hey, 225 00:13:32,760 --> 00:13:36,160 Speaker 1: we'll just eat Mediterranean. They said, we'll just eat junk 226 00:13:36,200 --> 00:13:39,040 Speaker 1: food full of sugar and hyproc dose corn syrup but 227 00:13:39,120 --> 00:13:41,480 Speaker 1: doesn't have fat. And and that was the other thing too, 228 00:13:41,559 --> 00:13:45,959 Speaker 1: is he is very frequently unfairly accused of demonizing fat. 229 00:13:46,280 --> 00:13:48,120 Speaker 1: He didn't do that. He said, you need to be 230 00:13:48,200 --> 00:13:52,439 Speaker 1: eating olive oil by the gallonful, just injected daily. Basically 231 00:13:52,840 --> 00:13:57,600 Speaker 1: he didn't say that. It's kind of paraphrasing, but he um. 232 00:13:57,679 --> 00:14:01,760 Speaker 1: He didn't leave out things like, um, you know, fats 233 00:14:01,800 --> 00:14:04,599 Speaker 1: from fish or from all of well, it was saturated 234 00:14:04,679 --> 00:14:08,320 Speaker 1: fat and particularly that he was convinced was the culprit 235 00:14:08,640 --> 00:14:12,880 Speaker 1: for heart disease and deaths from heart disease. Right, and uh, 236 00:14:13,080 --> 00:14:15,439 Speaker 1: eat a lot of grains, eat a lot of pasta, 237 00:14:15,559 --> 00:14:17,880 Speaker 1: eat a lot of fruit, eat a lot of bread, 238 00:14:18,400 --> 00:14:21,800 Speaker 1: a lot of vegetables. Sure vegetables are good for you. Yeah, 239 00:14:22,240 --> 00:14:24,680 Speaker 1: that's true, right. Yeah. And also I think one of 240 00:14:24,720 --> 00:14:27,520 Speaker 1: the other things that was so radical about the Mediterranean diet, 241 00:14:27,920 --> 00:14:30,920 Speaker 1: like even now you're like, oh, that sounds kind of exotic. 242 00:14:31,240 --> 00:14:34,080 Speaker 1: This is the fifties that this guy first introduced the 243 00:14:34,080 --> 00:14:36,360 Speaker 1: Mediterranean diet. But one of the other things that was 244 00:14:36,440 --> 00:14:39,040 Speaker 1: radical about it, and I should say, um, I didn't 245 00:14:39,080 --> 00:14:41,000 Speaker 1: I didn't give credit to his wife, Margaret, who co 246 00:14:41,080 --> 00:14:43,520 Speaker 1: wrote the first book with him, at least the first one, 247 00:14:43,520 --> 00:14:48,080 Speaker 1: if not more. Um, they wrote it together. But the 248 00:14:48,080 --> 00:14:50,960 Speaker 1: the the thing that was radical about it was that 249 00:14:52,440 --> 00:14:54,960 Speaker 1: he said, Hey, those fruits and vegetables and all that 250 00:14:55,240 --> 00:14:58,560 Speaker 1: make those the main like make the meat your side dish, like, 251 00:14:58,680 --> 00:15:01,880 Speaker 1: flip it over. You're gonna like live a lot longer 252 00:15:01,920 --> 00:15:04,440 Speaker 1: than you are just by eating a big steak and 253 00:15:04,520 --> 00:15:08,440 Speaker 1: some cream spinach on the side. Hey, I got no 254 00:15:08,520 --> 00:15:10,840 Speaker 1: problem with the man. There is definitely a case to 255 00:15:10,880 --> 00:15:15,240 Speaker 1: be made about eating what you like and living shorter. 256 00:15:15,440 --> 00:15:17,680 Speaker 1: It's tough to argue with in some cases. Hey, what 257 00:15:17,720 --> 00:15:20,120 Speaker 1: do we do when we occasionally on the road, We'll 258 00:15:20,160 --> 00:15:22,960 Speaker 1: go to a steakhouse together? We split a cream spinach 259 00:15:23,040 --> 00:15:25,400 Speaker 1: every time. Sure, I mean, how can you go to 260 00:15:25,440 --> 00:15:29,000 Speaker 1: a steakhouse and not eat cream spinach? It's the best 261 00:15:29,120 --> 00:15:33,080 Speaker 1: It makes you strong, right, Yeah, my forearm is just 262 00:15:33,440 --> 00:15:37,560 Speaker 1: a freakishly bulging. Should we take a break, Yes, all right, 263 00:15:37,600 --> 00:15:39,440 Speaker 1: go work out those four arms and we'll talk about 264 00:15:39,440 --> 00:15:51,080 Speaker 1: the cohorts right after this. If you want to know, 265 00:15:51,600 --> 00:16:03,760 Speaker 1: then you're in luck. Just chuck. Okay, So we're gonna 266 00:16:03,760 --> 00:16:08,800 Speaker 1: say it again cohorts cohorts. It's a study population that 267 00:16:09,040 --> 00:16:12,000 Speaker 1: bears some sort of similarity to one another, sort of. 268 00:16:12,320 --> 00:16:15,440 Speaker 1: There were sixteen in the seven countries study, and all 269 00:16:15,520 --> 00:16:20,000 Speaker 1: sixteen cohorts total twelve thousand, seven hundred and sixty three participants. 270 00:16:20,160 --> 00:16:22,920 Speaker 1: So it's a pretty good study. Sixteen different groups of 271 00:16:22,920 --> 00:16:27,440 Speaker 1: people more than twelve thousand total in seven different countries. 272 00:16:28,320 --> 00:16:31,640 Speaker 1: It's fairly impressive and ambitious study for the time. For sure, 273 00:16:31,960 --> 00:16:35,160 Speaker 1: it was. And I think there were at least two 274 00:16:35,160 --> 00:16:37,480 Speaker 1: in every country except for the U S which had 275 00:16:37,520 --> 00:16:41,200 Speaker 1: one cohort. And he never said we have to be fair. 276 00:16:41,240 --> 00:16:44,240 Speaker 1: He never said, you know what, this represents all men 277 00:16:44,880 --> 00:16:47,560 Speaker 1: in these countries and sort of all men around the world. 278 00:16:48,160 --> 00:16:51,400 Speaker 1: They never pretended like that was the case. But they 279 00:16:51,440 --> 00:16:54,840 Speaker 1: had to start somewhere and um, and we're not pooping 280 00:16:54,880 --> 00:16:59,280 Speaker 1: the whole study. Like the it was very robust. Uh. 281 00:16:59,320 --> 00:17:02,480 Speaker 1: And if you carry out a study in seven countries 282 00:17:02,480 --> 00:17:06,160 Speaker 1: with all of these men over twenty five years, it's 283 00:17:06,280 --> 00:17:09,000 Speaker 1: you know, they weren't slouches or anything like that. No, 284 00:17:09,320 --> 00:17:12,600 Speaker 1: but the very fact that he went around and said, oh, 285 00:17:12,680 --> 00:17:15,600 Speaker 1: these people eat a Mediterranean diet, I'm gonna include them. 286 00:17:15,800 --> 00:17:18,720 Speaker 1: These people eat what I consider the opposite of Mediterranean diet. 287 00:17:19,040 --> 00:17:22,240 Speaker 1: Include them, yea, rather than saying like, we'll just pick 288 00:17:22,359 --> 00:17:25,439 Speaker 1: these countries at random and and start studying them and 289 00:17:25,520 --> 00:17:28,840 Speaker 1: see if the their cholesterol intake is low and then 290 00:17:28,880 --> 00:17:32,600 Speaker 1: if so, if that correlates with the lower heart disease. 291 00:17:32,840 --> 00:17:35,800 Speaker 1: He didn't do that, and that is definitely worth criticizing 292 00:17:35,840 --> 00:17:38,439 Speaker 1: for sure. So let's I guess talk about some of 293 00:17:38,440 --> 00:17:43,240 Speaker 1: these cohorts and what they who they were, uh, former Yugoslavia. 294 00:17:43,359 --> 00:17:47,159 Speaker 1: He studied a couple of small towns um one that 295 00:17:47,240 --> 00:17:50,280 Speaker 1: had the Western European diet and one that was on 296 00:17:50,320 --> 00:17:54,960 Speaker 1: the Mediterranean diet largely. Finland was really interesting, I think 297 00:17:55,040 --> 00:17:59,240 Speaker 1: out of all these, because he compared two villages in 298 00:17:59,400 --> 00:18:05,000 Speaker 1: eastern and western Finland, because East Finlanders were recording a 299 00:18:05,040 --> 00:18:08,080 Speaker 1: lot more heart attacks, in fact, supposedly like the highest 300 00:18:08,119 --> 00:18:11,359 Speaker 1: record on planet Earth at the time. Yes, and for 301 00:18:11,440 --> 00:18:14,720 Speaker 1: good reason too, you would think, because they would eat 302 00:18:14,840 --> 00:18:19,520 Speaker 1: things like so great, this makes me hungry, Yeah, it 303 00:18:19,600 --> 00:18:22,000 Speaker 1: kind of does. Actually, they would eat a fish soup 304 00:18:22,119 --> 00:18:26,160 Speaker 1: that was just loaded with butter for breakfast. They would 305 00:18:26,200 --> 00:18:28,800 Speaker 1: he was called the Loggers launch, which was described by 306 00:18:28,800 --> 00:18:33,639 Speaker 1: one of the researchers as um, are you ready large 307 00:18:33,720 --> 00:18:37,439 Speaker 1: hunks of meat, suspended and congealed fat, enveloped in a 308 00:18:37,560 --> 00:18:41,320 Speaker 1: dark bread loaf, fully permeated by fat. I'm so sorry 309 00:18:41,320 --> 00:18:44,120 Speaker 1: to our being of vegetarian listeners because you're probably turning 310 00:18:44,119 --> 00:18:46,800 Speaker 1: it off right about now. Yeah, we should have spoiled 311 00:18:46,880 --> 00:18:50,959 Speaker 1: our trigger warning this one yeah too late, which, by 312 00:18:51,000 --> 00:18:53,080 Speaker 1: the way, I have to say, I have been really 313 00:18:53,119 --> 00:18:57,639 Speaker 1: doing my best to eat far less meat. Um, not 314 00:18:57,800 --> 00:19:02,040 Speaker 1: for health purposes, for ethical reasons, really sure, but I 315 00:19:02,400 --> 00:19:04,239 Speaker 1: gotta say that does sound kind of good to me. 316 00:19:04,320 --> 00:19:06,879 Speaker 1: Is like, if you put this in front of me 317 00:19:06,920 --> 00:19:10,080 Speaker 1: and say, here's your chance to eat a uh Eastern 318 00:19:10,200 --> 00:19:13,840 Speaker 1: Finland loggers lunch, I would I would take you up 319 00:19:13,840 --> 00:19:18,000 Speaker 1: on it. I think, Yeah, I'm cut down on meat too. Yeah, yeah, 320 00:19:18,040 --> 00:19:19,400 Speaker 1: I eat so. I don't mean a lot of red meat. 321 00:19:19,440 --> 00:19:24,240 Speaker 1: Don't eat a ton of pork anymore, can especially especially 322 00:19:24,280 --> 00:19:26,960 Speaker 1: pork from me. I I don't always eat meat, but 323 00:19:27,040 --> 00:19:31,440 Speaker 1: when I do, I try not to. Uh So. Then 324 00:19:31,600 --> 00:19:35,080 Speaker 1: so you've got your high fat diets in Finland. And 325 00:19:35,119 --> 00:19:37,159 Speaker 1: then he said, all right, I need to, like you 326 00:19:37,240 --> 00:19:39,680 Speaker 1: kind of mentioned earlier, I need to choose some some 327 00:19:39,800 --> 00:19:44,600 Speaker 1: opposite in my view, opposite countries of what they eat. 328 00:19:45,240 --> 00:19:47,919 Speaker 1: So where do you go. You go to Japan, of course, 329 00:19:48,600 --> 00:19:50,200 Speaker 1: where they eat a lot of fish, and he went 330 00:19:50,240 --> 00:19:53,359 Speaker 1: to a even a tiny little fishing village where they 331 00:19:53,400 --> 00:19:56,639 Speaker 1: all ate almost all fish. And then again in Greece 332 00:19:56,680 --> 00:19:59,160 Speaker 1: and the Greek islands, uh and in southern Italy also 333 00:19:59,720 --> 00:20:03,760 Speaker 1: where they were obviously eating the Mediterranean diet. Right, So 334 00:20:03,840 --> 00:20:06,280 Speaker 1: he takes all these different cohorts, takes all of their 335 00:20:06,280 --> 00:20:10,240 Speaker 1: different diets and starts just kind of looking at um, 336 00:20:10,280 --> 00:20:12,120 Speaker 1: all sorts of factors. That was one of the other 337 00:20:12,160 --> 00:20:14,440 Speaker 1: reasons you said it was a very robust study. One 338 00:20:14,480 --> 00:20:16,840 Speaker 1: of the other reasons that it was robust is because 339 00:20:16,840 --> 00:20:18,919 Speaker 1: they looked at all sorts of stuff. It wasn't just 340 00:20:18,960 --> 00:20:21,680 Speaker 1: their diet. They looked at things like, um, what they drank, 341 00:20:21,720 --> 00:20:24,040 Speaker 1: and what they smoked, and how much they smoked and 342 00:20:24,119 --> 00:20:26,640 Speaker 1: all this kind of stuff. It was a big, long study. 343 00:20:26,840 --> 00:20:29,520 Speaker 1: And again they followed these guys for at least twenty 344 00:20:29,560 --> 00:20:32,640 Speaker 1: five years, and some of the stuff that they found 345 00:20:33,160 --> 00:20:36,160 Speaker 1: we're basically this and this is this is the two 346 00:20:36,200 --> 00:20:40,119 Speaker 1: points that the Seven Countries study told the world, and 347 00:20:40,160 --> 00:20:42,040 Speaker 1: they just so happened to be the two points that 348 00:20:42,119 --> 00:20:45,720 Speaker 1: ansel Keys fully expected the seven countries to tell the 349 00:20:45,760 --> 00:20:48,360 Speaker 1: studies to tell the world, and it was that if 350 00:20:48,400 --> 00:20:52,200 Speaker 1: you have a high serum cholesterol, like a high concentration 351 00:20:52,240 --> 00:20:56,040 Speaker 1: of cholesterol in your blood, then there you're there's a 352 00:20:56,119 --> 00:20:59,960 Speaker 1: greater chance that you were going to die from cardiovass 353 00:21:00,040 --> 00:21:04,640 Speaker 1: killer disease. Right and Eastern Finland where those loggers were 354 00:21:04,640 --> 00:21:10,280 Speaker 1: eaten fat breads. That's a great name for a restaurant, 355 00:21:10,760 --> 00:21:15,800 Speaker 1: fat bread Sure. Oh yeah, I think wow, if restaurants 356 00:21:15,840 --> 00:21:18,439 Speaker 1: are still around in a few months, then we should 357 00:21:18,440 --> 00:21:22,040 Speaker 1: open one called fat breads. Um. So, those fat bread 358 00:21:22,119 --> 00:21:25,840 Speaker 1: eating loggers, they had average serum cholesterol levels of more 359 00:21:25,880 --> 00:21:29,720 Speaker 1: than two sixty and there were more than four heart attacks, 360 00:21:30,680 --> 00:21:33,640 Speaker 1: uh four heart attack deaths for every one middle aged 361 00:21:33,640 --> 00:21:37,880 Speaker 1: men five years after the study started. Right, okay, so Chuck, 362 00:21:37,920 --> 00:21:41,040 Speaker 1: I looked it up. They had an average of two sixty. 363 00:21:41,119 --> 00:21:46,800 Speaker 1: The window of normal or acceptable or your your um 364 00:21:47,800 --> 00:21:53,080 Speaker 1: you don't have like viscous blood is two d These 365 00:21:53,080 --> 00:21:57,359 Speaker 1: guys were averaging to sixty. That's a lot. It is 366 00:21:57,359 --> 00:22:01,520 Speaker 1: a lot. So the opposite of that was the former 367 00:22:01,640 --> 00:22:06,840 Speaker 1: Yugoslavian place uh Dalmatia, where they had the Mediterranean diet 368 00:22:06,880 --> 00:22:11,080 Speaker 1: and there men had an average serium cholesterol level and 369 00:22:11,119 --> 00:22:14,240 Speaker 1: had one death per one men over that same period. 370 00:22:15,000 --> 00:22:18,640 Speaker 1: And Dalmatia is where the Dalmatian dog they think is from. 371 00:22:18,680 --> 00:22:21,399 Speaker 1: I kind of assumed that, but you never know, did you? 372 00:22:21,520 --> 00:22:23,440 Speaker 1: It was worth saying anyway, Sure, this is a show 373 00:22:23,480 --> 00:22:27,240 Speaker 1: about facts in trivia. That's right. Um. Did you have 374 00:22:27,320 --> 00:22:32,080 Speaker 1: you ever been to Croatia? No? It is spectacular, man. 375 00:22:32,640 --> 00:22:36,919 Speaker 1: It's on the Adriatic and it is incredibly gorgeous. You 376 00:22:37,000 --> 00:22:38,760 Speaker 1: mean and I went on a cruise once that went 377 00:22:38,800 --> 00:22:41,280 Speaker 1: through there, and it is I've just wanted to go 378 00:22:41,320 --> 00:22:44,440 Speaker 1: back ever since. Was it one of those river cruises? No, 379 00:22:44,640 --> 00:22:46,480 Speaker 1: it was again, it was on the Adriaca. It was 380 00:22:46,520 --> 00:22:49,359 Speaker 1: a cruise all the way around Italy, from one side 381 00:22:49,359 --> 00:22:51,680 Speaker 1: to the down past the boot and then up the other. 382 00:22:51,760 --> 00:22:54,840 Speaker 1: It was love. Yeah, we're not like cruise people or 383 00:22:54,840 --> 00:22:59,320 Speaker 1: anything like that, but we went with Um Shandon the 384 00:22:59,400 --> 00:23:03,159 Speaker 1: Champagne Acre had a cruise that we're like, well, okay, 385 00:23:03,200 --> 00:23:06,000 Speaker 1: this is the one we're gonna take, and uh it 386 00:23:06,119 --> 00:23:07,919 Speaker 1: turned out to be really great because we're not like 387 00:23:08,040 --> 00:23:11,000 Speaker 1: Italy fans. You we have nothing against Italy, but we 388 00:23:11,000 --> 00:23:13,280 Speaker 1: were never like we got to go to Italy never, 389 00:23:13,320 --> 00:23:15,880 Speaker 1: We're never cruise fans. And then after we got off 390 00:23:15,920 --> 00:23:17,280 Speaker 1: of those were like, I want to go on another 391 00:23:17,320 --> 00:23:19,359 Speaker 1: cruise and I want to go back to Italy and 392 00:23:19,400 --> 00:23:21,000 Speaker 1: would a kill you to give me some more shand 393 00:23:21,040 --> 00:23:25,200 Speaker 1: on did you just drink tons of champagne? Yes, that's wonderful. 394 00:23:25,840 --> 00:23:29,760 Speaker 1: So the other thing that uh It said was the 395 00:23:29,760 --> 00:23:34,240 Speaker 1: other conclusion was diets higher and saturated fats will correlate 396 00:23:34,280 --> 00:23:37,240 Speaker 1: to more heart attacks. And the data did show a 397 00:23:37,280 --> 00:23:42,080 Speaker 1: big correlation between saturated fat in the regular traditional diet 398 00:23:42,160 --> 00:23:46,720 Speaker 1: and the heart attacks. And I think crete where saturated 399 00:23:46,720 --> 00:23:49,360 Speaker 1: fats equal between eight and nine percent of daily calories, 400 00:23:49,960 --> 00:23:54,200 Speaker 1: the average number of heart attack desper one hundred was 401 00:23:54,400 --> 00:23:57,520 Speaker 1: basically zero over that five years. And in the US, 402 00:23:57,560 --> 00:23:59,840 Speaker 1: where we only had the one cohort, I don't think 403 00:23:59,840 --> 00:24:04,880 Speaker 1: we said they were railroad workers, right, Yeah, in Minnesota, 404 00:24:05,119 --> 00:24:10,000 Speaker 1: Minnesota railroad workers, they had se saturated fats and their 405 00:24:10,040 --> 00:24:12,479 Speaker 1: diet and they had more than three deaths per one 406 00:24:12,920 --> 00:24:15,399 Speaker 1: during that five year period. Right, So all this stuff 407 00:24:15,440 --> 00:24:19,640 Speaker 1: just totally backs up what what um ansel Keys was saying, right, 408 00:24:20,480 --> 00:24:25,119 Speaker 1: and later studies that basically took the seven countries study 409 00:24:25,240 --> 00:24:28,600 Speaker 1: cohorts and drilled down into them a little more. UM. 410 00:24:28,640 --> 00:24:32,080 Speaker 1: There were two particular ones, the zoot Fins study from 411 00:24:32,119 --> 00:24:36,440 Speaker 1: the Netherlands and the Hail Project. UM. Both of them 412 00:24:36,880 --> 00:24:40,879 Speaker 1: looked at um just continued following people beyond the twenty 413 00:24:40,920 --> 00:24:43,639 Speaker 1: five years, so like the Hail study was dedicated to 414 00:24:43,760 --> 00:24:46,120 Speaker 1: looking at healthy aging, that kind of thing, and they 415 00:24:46,119 --> 00:24:50,120 Speaker 1: turned up some other stuff that you UM now basically 416 00:24:50,160 --> 00:24:53,919 Speaker 1: take his gospel as well, Like if you follow a 417 00:24:53,960 --> 00:24:58,439 Speaker 1: Mediterranean diet, your risk of heart attack drops precipitously, I 418 00:24:58,480 --> 00:25:03,359 Speaker 1: think thirt lower risk. UM, if you eat fish, it 419 00:25:03,440 --> 00:25:05,520 Speaker 1: lowers your risk of dying from a heart attack. Like 420 00:25:05,560 --> 00:25:08,000 Speaker 1: even just eating fish once or twice a week can 421 00:25:08,080 --> 00:25:11,239 Speaker 1: drop your risk of a fatal heart attack by Like 422 00:25:11,280 --> 00:25:14,680 Speaker 1: these were things that that came along, not not from 423 00:25:14,760 --> 00:25:18,080 Speaker 1: the seven country study, but from that thing being continued 424 00:25:18,119 --> 00:25:21,120 Speaker 1: on by supplementary studies. Yeah. And two of the big 425 00:25:21,160 --> 00:25:25,040 Speaker 1: ones that people like myself and my wife like to 426 00:25:25,480 --> 00:25:29,640 Speaker 1: spout is that you drink the two glasses of wine 427 00:25:29,680 --> 00:25:32,800 Speaker 1: a day, you're actually healthier than not drinking at all. 428 00:25:33,200 --> 00:25:35,320 Speaker 1: And if you eat that one square of dark chocolate 429 00:25:35,359 --> 00:25:39,679 Speaker 1: a day, you're actually healthier as well. Uh, if you 430 00:25:39,680 --> 00:25:41,880 Speaker 1: eat more than that and drink more than that, then 431 00:25:41,920 --> 00:25:44,879 Speaker 1: it goes the opposite way. But that two glasses of 432 00:25:44,920 --> 00:25:48,600 Speaker 1: wine and one square of chocolate is uh. People really 433 00:25:48,640 --> 00:25:50,520 Speaker 1: like to tout that one who like to drink wine 434 00:25:50,520 --> 00:25:53,560 Speaker 1: and eat chocolate. That's what they call a sweet spot. Yeah, 435 00:25:54,320 --> 00:25:56,520 Speaker 1: so like seriously think about it, though, if you drink 436 00:25:57,480 --> 00:25:59,760 Speaker 1: less than two wine two glasses of wine a date, 437 00:26:00,119 --> 00:26:03,959 Speaker 1: you're you're likelier to die of heart disease than if 438 00:26:04,000 --> 00:26:06,520 Speaker 1: you drink too. I mean that's what they're saying in 439 00:26:06,560 --> 00:26:08,639 Speaker 1: the study at least, right, And I mean, like, I 440 00:26:08,680 --> 00:26:10,920 Speaker 1: haven't seen anything that says Nope, that's not true, that's 441 00:26:10,960 --> 00:26:13,840 Speaker 1: b s. But the everybody makes that case that you 442 00:26:14,000 --> 00:26:16,240 Speaker 1: said to her, that makes that point that like, once 443 00:26:16,280 --> 00:26:18,960 Speaker 1: you go beyond too, not only does it have the 444 00:26:18,960 --> 00:26:22,440 Speaker 1: opposite effect, it gets really bad, really really fast. Yeah. 445 00:26:22,480 --> 00:26:24,360 Speaker 1: And what you can't do also is be like, well, 446 00:26:24,400 --> 00:26:26,240 Speaker 1: I haven't had any drinks for three nights, so I'll 447 00:26:26,280 --> 00:26:29,760 Speaker 1: have five glasses of wine tonight and that averages out 448 00:26:29,800 --> 00:26:32,960 Speaker 1: to super healthy. Yeah. Yeah, they say been shrinking is 449 00:26:33,040 --> 00:26:34,959 Speaker 1: way worse for you, but then they also say that 450 00:26:35,320 --> 00:26:37,400 Speaker 1: been shrinking is way better for you. We have no 451 00:26:37,520 --> 00:26:40,479 Speaker 1: handle on what drinking does to you. I just know 452 00:26:40,560 --> 00:26:43,760 Speaker 1: that drinking makes me feel like a S S the 453 00:26:43,800 --> 00:26:48,359 Speaker 1: next day. Uh yeah, I mean older you get, you 454 00:26:48,440 --> 00:26:54,160 Speaker 1: definitely have to pick and choose, dude, Like two beers can. 455 00:26:55,000 --> 00:26:57,080 Speaker 1: I don't want to say wreck me the next day, 456 00:26:57,119 --> 00:26:59,960 Speaker 1: but I am not love in life the next day 457 00:27:00,040 --> 00:27:04,040 Speaker 1: necessarily two beers dude. Yeah, My whole deal is sleep 458 00:27:04,400 --> 00:27:08,439 Speaker 1: Like I haven't had anything to drink for four nights, 459 00:27:09,600 --> 00:27:12,040 Speaker 1: and that was after a pretty big couple of nights 460 00:27:12,080 --> 00:27:15,840 Speaker 1: in a row for various reasons. And uh, I just 461 00:27:16,000 --> 00:27:18,679 Speaker 1: I sleep so much better. I wake up feeling so 462 00:27:18,760 --> 00:27:23,199 Speaker 1: much better. I mean it's irrefutable, you know. Um what 463 00:27:23,280 --> 00:27:24,920 Speaker 1: I do try to do now though in my old 464 00:27:24,920 --> 00:27:28,880 Speaker 1: ages is really drink a ton of water while I'm drinking. 465 00:27:30,359 --> 00:27:34,040 Speaker 1: And uh I use now take these. Uh I don't 466 00:27:34,080 --> 00:27:36,280 Speaker 1: know if I should buzz market the brand, but I 467 00:27:36,359 --> 00:27:40,800 Speaker 1: take a little supplement that is that is you know, 468 00:27:40,840 --> 00:27:44,200 Speaker 1: it's basically like a super vitamin that supposedly will help 469 00:27:44,240 --> 00:27:46,960 Speaker 1: curb a hangover, and like, have you noticed that it 470 00:27:47,000 --> 00:27:49,440 Speaker 1: actually has an effect? And if it does have an effective, 471 00:27:49,480 --> 00:27:51,200 Speaker 1: do you think it's just power suggestion or does it 472 00:27:51,280 --> 00:27:54,800 Speaker 1: really work? No? I think so, But it's not gobbled 473 00:27:54,800 --> 00:27:56,920 Speaker 1: e cook. I mean it's BE twelve and like things 474 00:27:56,960 --> 00:27:59,920 Speaker 1: that we know can probably help with a hangover. Yeah, yeah, 475 00:28:00,040 --> 00:28:02,320 Speaker 1: Have you ever gotten a BE twelve shot? I haven't, 476 00:28:02,920 --> 00:28:06,320 Speaker 1: Oh man. A lot of times they miss or it 477 00:28:06,359 --> 00:28:08,680 Speaker 1: doesn't work, or it's watered down or something like that. 478 00:28:08,760 --> 00:28:11,200 Speaker 1: It's really hard to get a good BE twelve shot. 479 00:28:11,480 --> 00:28:14,919 Speaker 1: When it works, brother, you can tell a difference and 480 00:28:14,960 --> 00:28:20,040 Speaker 1: you feel like a million bucks. You're not high, but 481 00:28:20,119 --> 00:28:23,960 Speaker 1: you're like high on life kind of. You're not not high, 482 00:28:24,000 --> 00:28:26,439 Speaker 1: I guess. Actually it's a really fair way to put it, 483 00:28:26,480 --> 00:28:29,399 Speaker 1: to tell you how long does that last? Like basically 484 00:28:29,440 --> 00:28:31,440 Speaker 1: all day you just feel great, You want to talk 485 00:28:31,480 --> 00:28:35,080 Speaker 1: to strangers. You you're like totally large and in charge. 486 00:28:35,119 --> 00:28:38,640 Speaker 1: You're getting stuff done. You never feel overwhelmed, like you're 487 00:28:38,640 --> 00:28:40,920 Speaker 1: like having you have a sense of humor. It's just 488 00:28:41,280 --> 00:28:43,239 Speaker 1: it just takes like all the best parts of your 489 00:28:43,280 --> 00:28:46,080 Speaker 1: personality and like bulks them up. Not in any kind 490 00:28:46,080 --> 00:28:50,240 Speaker 1: of speedy, manic way, but just you just feel like 491 00:28:50,280 --> 00:28:53,560 Speaker 1: you're running on all cylinders and you just wish to 492 00:28:53,640 --> 00:28:55,760 Speaker 1: God that like you were always like that, but and 493 00:28:55,760 --> 00:28:57,600 Speaker 1: that's what you got hat too, So that's why you're 494 00:28:57,600 --> 00:29:00,280 Speaker 1: not that's why you that's what you get one of 495 00:29:00,280 --> 00:29:02,800 Speaker 1: those hangover next day places, right, like an ivy and 496 00:29:02,840 --> 00:29:04,960 Speaker 1: a BEAT twelve shot. Yeah. Yeah, you could go to 497 00:29:05,000 --> 00:29:08,360 Speaker 1: like a medical clinic or you know, a med spa 498 00:29:08,600 --> 00:29:10,400 Speaker 1: or something like that, and they usually have it. Some 499 00:29:10,480 --> 00:29:14,000 Speaker 1: chiropractors have them. Um have to do that. Yeah, I 500 00:29:14,000 --> 00:29:16,600 Speaker 1: think you have to have some sort of medical degree 501 00:29:17,080 --> 00:29:20,040 Speaker 1: to inject it or whatever. But I've always kind of 502 00:29:20,080 --> 00:29:23,160 Speaker 1: been on the hunt to have B twelve prescribed to 503 00:29:23,240 --> 00:29:27,000 Speaker 1: me so I can inject it myself. So I guess 504 00:29:27,040 --> 00:29:29,720 Speaker 1: that there's any doctor listeners something you should know out there, 505 00:29:29,800 --> 00:29:33,240 Speaker 1: Hit me up because I need a prescription to BE twelve. Please. 506 00:29:34,040 --> 00:29:37,160 Speaker 1: Oh man, where were we? I think we're about to 507 00:29:37,200 --> 00:29:39,120 Speaker 1: take a break. Yeah, let's take a break and we'll 508 00:29:39,120 --> 00:29:42,640 Speaker 1: talk a little bit about the criticisms right after this. 509 00:29:52,360 --> 00:29:57,120 Speaker 1: If you want to know, you're in luck. Just to 510 00:30:00,080 --> 00:30:07,120 Speaker 1: exact fusion. Okay. So, I think we've kind of made 511 00:30:07,160 --> 00:30:11,920 Speaker 1: it clear that there are some people out there, uh communists, 512 00:30:12,120 --> 00:30:16,280 Speaker 1: Pinko's who hate the Seven Countries study, can't stand it, 513 00:30:17,200 --> 00:30:20,240 Speaker 1: and they have a lot of very valid points. Yeah. 514 00:30:20,480 --> 00:30:22,600 Speaker 1: I think one of the biggest criticisms is that it 515 00:30:22,640 --> 00:30:28,400 Speaker 1: was a very correlative relationship and not a causal relationship. Yes, 516 00:30:28,560 --> 00:30:31,520 Speaker 1: I mean that's kind of the biggest one. That and 517 00:30:31,600 --> 00:30:35,920 Speaker 1: the fact that it's a study. It's a it's called 518 00:30:35,920 --> 00:30:39,280 Speaker 1: an ecological study, which is uh, it's a study that 519 00:30:39,880 --> 00:30:41,760 Speaker 1: at the time it was you know who was this, 520 00:30:41,880 --> 00:30:45,080 Speaker 1: Dr Henry Blackburn, He was one of the original officers, 521 00:30:45,120 --> 00:30:46,600 Speaker 1: said it was state of the art for the time. 522 00:30:47,360 --> 00:30:51,200 Speaker 1: But he's like an ecologic study, and and correlation is 523 00:30:51,280 --> 00:30:55,280 Speaker 1: pretty weak. Uh. If you're talking about trying to find 524 00:30:55,280 --> 00:30:59,560 Speaker 1: a causal uh, I guess a causal inference. Yeah, Because 525 00:30:59,560 --> 00:31:01,760 Speaker 1: the thing is is you're taking all of these people 526 00:31:01,880 --> 00:31:06,240 Speaker 1: from all around the world and you're examining them to 527 00:31:06,440 --> 00:31:11,440 Speaker 1: see you're trying to find out what's the underlying cause 528 00:31:11,680 --> 00:31:16,080 Speaker 1: of their common affliction heart attacks, or what accounts for 529 00:31:16,080 --> 00:31:20,040 Speaker 1: the absence of that affliction again heart attacks. But the 530 00:31:20,080 --> 00:31:24,880 Speaker 1: problem is there's so many differences between somebody who is 531 00:31:24,920 --> 00:31:28,360 Speaker 1: on a Mediterranean diet and lives in Crete and somebody 532 00:31:28,400 --> 00:31:33,200 Speaker 1: who eats the loggers lunch in Finland. Besides just what 533 00:31:33,280 --> 00:31:36,520 Speaker 1: they eat, there's so many other factors, so many different 534 00:31:36,520 --> 00:31:40,080 Speaker 1: things involved that even if you can find a correlation 535 00:31:40,240 --> 00:31:43,960 Speaker 1: like you like, like ansel Keys did between saturated fats 536 00:31:44,080 --> 00:31:47,200 Speaker 1: and heart attacks. It doesn't mean that there's actually not 537 00:31:47,280 --> 00:31:51,000 Speaker 1: something else at play. And that's the biggest, the biggest 538 00:31:51,600 --> 00:31:56,320 Speaker 1: criticism of the study that most people widely level against it. Yeah, 539 00:31:56,400 --> 00:32:00,440 Speaker 1: and it's also an epidemiological study which follows a pop elation, 540 00:32:01,200 --> 00:32:03,600 Speaker 1: uh to something you know not so good for you 541 00:32:04,240 --> 00:32:07,880 Speaker 1: over a length of time. But if you want to 542 00:32:07,920 --> 00:32:11,080 Speaker 1: do that right, you can't, like you said, just they 543 00:32:11,080 --> 00:32:14,600 Speaker 1: have to be the same age, the same sex, they 544 00:32:14,640 --> 00:32:16,240 Speaker 1: have to do the same job, they have to be 545 00:32:16,280 --> 00:32:18,959 Speaker 1: the same ethnicity, they have to be in the same place, 546 00:32:19,560 --> 00:32:23,360 Speaker 1: and the only difference can be what they're eating, basically, right, 547 00:32:23,440 --> 00:32:25,760 Speaker 1: And like, and I get what he was doing. He 548 00:32:25,840 --> 00:32:29,480 Speaker 1: was trying to, you know, compare this type of diet 549 00:32:29,480 --> 00:32:32,080 Speaker 1: to that type of diet in different places around the world. 550 00:32:32,080 --> 00:32:34,960 Speaker 1: But it was just that's that's flawed, that's a flawed 551 00:32:35,080 --> 00:32:38,920 Speaker 1: that's an adventure. That's not a study, right exactly, that's 552 00:32:38,960 --> 00:32:43,200 Speaker 1: that's a that's a travel eating show basically. But it 553 00:32:43,320 --> 00:32:46,800 Speaker 1: was almost like he was trying to cram a dozen 554 00:32:46,920 --> 00:32:50,680 Speaker 1: studies into one rather than break it out and appropriately 555 00:32:50,720 --> 00:32:53,000 Speaker 1: into each different study, Like I'm going to study these 556 00:32:53,000 --> 00:32:56,440 Speaker 1: people and use this as the control. His study lacked 557 00:32:57,080 --> 00:33:02,160 Speaker 1: a control group or control um variable. Yeah, right, and 558 00:33:03,080 --> 00:33:05,680 Speaker 1: that's that's another big thing that's leveled against it as 559 00:33:05,680 --> 00:33:09,600 Speaker 1: as a big flaw and makes you wonder, you know, Okay, 560 00:33:09,800 --> 00:33:16,080 Speaker 1: is that correlation between saturated fat and heart disease even real? Yeah? 561 00:33:16,080 --> 00:33:18,520 Speaker 1: I mean even when they tried to kind of drill 562 00:33:18,600 --> 00:33:21,720 Speaker 1: down to an apples to apples, like in Finland, that 563 00:33:21,800 --> 00:33:23,480 Speaker 1: was one place where they had. All. Right, at least 564 00:33:23,560 --> 00:33:25,880 Speaker 1: we're all in the same country, so that's a good 565 00:33:25,880 --> 00:33:30,840 Speaker 1: place to start. Uh, let's see here the two finished cohorts. 566 00:33:30,840 --> 00:33:34,840 Speaker 1: I still love saying that, Um, they consumed relatively similar, 567 00:33:35,120 --> 00:33:37,880 Speaker 1: similar levels of saturated fat. So in the West they 568 00:33:37,880 --> 00:33:43,000 Speaker 1: had and the not a huge difference. That's so much though. 569 00:33:43,280 --> 00:33:47,560 Speaker 1: What three? Yeah, the railroad workers in nineteen fifties Minnesota, 570 00:33:47,600 --> 00:33:54,840 Speaker 1: we're eating of their diet was saturated fat. Yeah, close 571 00:33:54,840 --> 00:33:57,880 Speaker 1: to a quarter of your diet was saturated fat. But 572 00:33:57,920 --> 00:33:59,840 Speaker 1: the average number of heart attack deaths in the E 573 00:34:00,600 --> 00:34:04,800 Speaker 1: was twice as high versus I think four death per 574 00:34:04,840 --> 00:34:08,880 Speaker 1: one men versus two in the West. Yeah, so like 575 00:34:09,040 --> 00:34:11,839 Speaker 1: that there's something else going on, Yeah, exactly, because their 576 00:34:11,920 --> 00:34:14,960 Speaker 1: fat intake was similar but that you know that shouldn't 577 00:34:15,000 --> 00:34:18,440 Speaker 1: there's what would account for a double the increase? So 578 00:34:18,480 --> 00:34:21,560 Speaker 1: who knows? And they just the answer is they don't know. 579 00:34:21,680 --> 00:34:24,879 Speaker 1: We don't know. We don't know what would account for that. UM. 580 00:34:25,360 --> 00:34:29,239 Speaker 1: And there's there's a lot of other people who've looked 581 00:34:29,239 --> 00:34:31,399 Speaker 1: at this and said, Okay, there's still like a lot 582 00:34:31,440 --> 00:34:33,319 Speaker 1: to be said of this data. There's a lot you 583 00:34:33,360 --> 00:34:36,799 Speaker 1: can extract from it. UM. And some people have come 584 00:34:36,840 --> 00:34:38,840 Speaker 1: along the way and said, hey, you know, like you 585 00:34:38,880 --> 00:34:42,200 Speaker 1: can you can run this stuff through statistical analysis. Apparently 586 00:34:42,200 --> 00:34:45,480 Speaker 1: they did another that and they did when they originally 587 00:34:45,920 --> 00:34:48,640 Speaker 1: looked at the data back in the fifties or sixties 588 00:34:48,680 --> 00:34:51,560 Speaker 1: or seventies, and UM, they did it again for the 589 00:34:51,560 --> 00:34:55,640 Speaker 1: twenty fifth anniversary of this study. UM. And one of 590 00:34:55,719 --> 00:34:59,720 Speaker 1: the things that turned up was that sugar actually seemed 591 00:34:59,760 --> 00:35:04,320 Speaker 1: to orally more strongly. Sugar intake in the diet seemed 592 00:35:04,360 --> 00:35:07,279 Speaker 1: to correlate more strongly with heart disease, and even saturated 593 00:35:07,320 --> 00:35:10,680 Speaker 1: fats did it was almost roughly the same. But the 594 00:35:10,719 --> 00:35:14,000 Speaker 1: thing is that sugar bump. When you factored in saturated fats, 595 00:35:14,040 --> 00:35:16,640 Speaker 1: the sugar bump disappeared. And so they said, oh, well, 596 00:35:16,640 --> 00:35:19,600 Speaker 1: it's just an anomaly. It's really the saturated fats. From 597 00:35:19,640 --> 00:35:22,680 Speaker 1: what I could tell, if you had a saturated fat 598 00:35:22,719 --> 00:35:25,800 Speaker 1: bump and you factored in sugar, that would disappear as well. 599 00:35:26,200 --> 00:35:29,000 Speaker 1: So some people have come to think, like, if it's 600 00:35:29,000 --> 00:35:33,800 Speaker 1: not sugar, maybe it's a combination of sugar and saturated fats. 601 00:35:33,880 --> 00:35:36,799 Speaker 1: That's actually the real problem. Not saturated fats on its own, 602 00:35:37,120 --> 00:35:39,719 Speaker 1: but that it's not even necessarily sugar on its own, 603 00:35:39,760 --> 00:35:42,360 Speaker 1: but this combination of the two. And that's led a 604 00:35:42,360 --> 00:35:45,080 Speaker 1: lot of people, including one big critic of the Seven 605 00:35:45,080 --> 00:35:49,719 Speaker 1: Countries study, to say, um, like it's processed food. That's 606 00:35:49,719 --> 00:35:52,800 Speaker 1: what kills people. As processed food, this combination of bad 607 00:35:52,840 --> 00:35:58,200 Speaker 1: fats and in sugar, that is really proving to be deadly. Yeah, 608 00:35:58,239 --> 00:36:01,400 Speaker 1: and I think that's I think that's just so clear 609 00:36:01,440 --> 00:36:05,880 Speaker 1: now that real food is far in a way better 610 00:36:05,920 --> 00:36:09,279 Speaker 1: for you than processed food. Like, you can't, you just 611 00:36:09,320 --> 00:36:13,640 Speaker 1: can't refute that, No, you you can't. I mean even 612 00:36:13,680 --> 00:36:16,280 Speaker 1: if you just base it, and you know, we always 613 00:36:16,280 --> 00:36:18,359 Speaker 1: make fun of anecdotal data, but if you just base 614 00:36:18,440 --> 00:36:22,120 Speaker 1: it on how your body feels after you eat certain 615 00:36:22,200 --> 00:36:24,640 Speaker 1: kinds of food and then after you eat processed food, 616 00:36:25,520 --> 00:36:27,480 Speaker 1: the problem is is we don't know how to feed 617 00:36:29,200 --> 00:36:32,760 Speaker 1: um seven billion people on this planet without processing food. 618 00:36:32,800 --> 00:36:37,319 Speaker 1: You know, where's Norman Borlog, Yeah, I don't know. He's dead, 619 00:36:37,400 --> 00:36:41,000 Speaker 1: dead in the cold ground. God doesn't care about anything now. 620 00:36:42,360 --> 00:36:47,799 Speaker 1: So it hasn't been refuted, not necessarily, it hasn't been 621 00:36:47,800 --> 00:36:50,239 Speaker 1: completely refuted to where they say, just throw this thing 622 00:36:50,280 --> 00:36:55,760 Speaker 1: in the trash. Um. But I think the and hopefully 623 00:36:55,800 --> 00:36:59,360 Speaker 1: we've gotten this point across is the damage that it 624 00:36:59,400 --> 00:37:02,440 Speaker 1: did in the United States was we went all in 625 00:37:02,560 --> 00:37:06,440 Speaker 1: on it and they said fat is is the killer 626 00:37:07,040 --> 00:37:10,080 Speaker 1: and if you just avoid fat and eat these processed 627 00:37:10,120 --> 00:37:14,680 Speaker 1: low fat foods, you're gonna be just fine. Yes, So 628 00:37:14,880 --> 00:37:17,640 Speaker 1: like that, and you can't really lay that at ansel 629 00:37:17,719 --> 00:37:20,880 Speaker 1: Key's feet. That was the Department of Health and Human Services. 630 00:37:22,320 --> 00:37:25,120 Speaker 1: They just took these findings and ran with them. They 631 00:37:25,120 --> 00:37:27,120 Speaker 1: were like, well, we don't have any clinical data yet. 632 00:37:27,160 --> 00:37:28,840 Speaker 1: They're like, I can't hear you. I can't hear you. 633 00:37:28,880 --> 00:37:31,279 Speaker 1: I'm already at the printers getting these posters of the 634 00:37:31,280 --> 00:37:35,239 Speaker 1: food Pyramid Guide printed up UM. And that was definitely 635 00:37:35,280 --> 00:37:39,759 Speaker 1: a huge problem that UM that created this larger problem 636 00:37:39,800 --> 00:37:42,680 Speaker 1: because it led to this demization of all fats that 637 00:37:43,040 --> 00:37:45,840 Speaker 1: food pyramid that showed the little bit at the top 638 00:37:46,239 --> 00:37:48,680 Speaker 1: was like fats and sweets and stuff like that. Like 639 00:37:48,719 --> 00:37:51,120 Speaker 1: it didn't say, you know, just this kind of fat 640 00:37:51,360 --> 00:37:53,840 Speaker 1: or keep away from that kind of fact, it was fats. 641 00:37:54,239 --> 00:37:56,840 Speaker 1: You Americans are too fat and dumb to understand that 642 00:37:56,880 --> 00:37:58,839 Speaker 1: there's different kinds of fats, So just stay away from 643 00:37:58,840 --> 00:38:01,799 Speaker 1: fats all together. And that that's really what led to this, 644 00:38:01,880 --> 00:38:04,520 Speaker 1: because there are plenty of fats that are actually good 645 00:38:04,560 --> 00:38:07,720 Speaker 1: for your heart, like things like fats found in fish, 646 00:38:07,920 --> 00:38:12,319 Speaker 1: fats found in olive oil, and then even even potentially yeah, 647 00:38:12,320 --> 00:38:15,040 Speaker 1: avocados are about as good as it gets and then 648 00:38:15,800 --> 00:38:19,759 Speaker 1: potentially chuck. They're like the kinds of saturated fat that 649 00:38:19,800 --> 00:38:22,600 Speaker 1: people tend to associate, like with a steak, as being 650 00:38:22,680 --> 00:38:26,160 Speaker 1: bad for you. That's not necessarily true either. And again 651 00:38:26,200 --> 00:38:28,400 Speaker 1: it seems to be like we talked about in that 652 00:38:28,560 --> 00:38:34,239 Speaker 1: the peanut butter episode, those chemically processed or um industrially 653 00:38:34,320 --> 00:38:38,480 Speaker 1: processed fats that change things that make peanut butter shelf 654 00:38:38,560 --> 00:38:42,520 Speaker 1: stable and way more delicious, Like, those are the fats 655 00:38:42,520 --> 00:38:44,560 Speaker 1: that are actually really bad for you. Those are the 656 00:38:44,560 --> 00:38:47,839 Speaker 1: ones that you should avoid or eat in moderation, and 657 00:38:48,000 --> 00:38:50,319 Speaker 1: that that kind of nuances needed to actually have a 658 00:38:50,320 --> 00:38:53,359 Speaker 1: healthy diet, because we learned from this experiment that you 659 00:38:53,400 --> 00:38:56,000 Speaker 1: can't just cut fats out all together. We need a 660 00:38:56,000 --> 00:38:59,200 Speaker 1: lot of those fats to survive and be healthy. Yeah, 661 00:38:59,280 --> 00:39:02,960 Speaker 1: and the evans as far as um because you would think, 662 00:39:03,000 --> 00:39:05,120 Speaker 1: you know, this started in the nineteen eighties in America, 663 00:39:05,640 --> 00:39:08,360 Speaker 1: so surely we all got a lot healthier, right because 664 00:39:08,360 --> 00:39:10,440 Speaker 1: of the food pyramid and all the low fat food. 665 00:39:11,120 --> 00:39:13,759 Speaker 1: We cut fat anyway you can slice it. We cut 666 00:39:13,760 --> 00:39:18,239 Speaker 1: fat over two decades plus. People still, you know, think 667 00:39:18,239 --> 00:39:20,520 Speaker 1: fat as the demon in a lot of circles, and 668 00:39:20,880 --> 00:39:24,000 Speaker 1: America is as sick as we've ever been. Type two 669 00:39:24,000 --> 00:39:27,720 Speaker 1: diabetes has increased, Oh man, this is crazy, a hundred 670 00:39:27,760 --> 00:39:32,520 Speaker 1: and sixty six percent from nineteen eighty to twelve. I 671 00:39:32,520 --> 00:39:35,759 Speaker 1: don't know about twenty twelve till now. Um, I would 672 00:39:35,800 --> 00:39:39,560 Speaker 1: guess more of this. Yeah, I doubt if it reverse course. Uh. 673 00:39:39,640 --> 00:39:43,160 Speaker 1: We have beaten down heart disease some, but we've also 674 00:39:43,560 --> 00:39:46,640 Speaker 1: stopped smoking a lot more, and we've got better emergency 675 00:39:46,719 --> 00:39:50,319 Speaker 1: room care and better drugs like statins and stuff like that. 676 00:39:51,400 --> 00:39:55,280 Speaker 1: But it's still, you know, cardiovascular disease still kills people 677 00:39:55,320 --> 00:39:58,480 Speaker 1: more than anything else in the US. Yeah, despite those 678 00:39:58,760 --> 00:40:03,680 Speaker 1: advances in medical treatment, Um, it's still killing people more 679 00:40:03,680 --> 00:40:08,200 Speaker 1: than anything else. And like even exercising hasn't helped. Like 680 00:40:08,280 --> 00:40:12,279 Speaker 1: we exercise basically more than ever, but still a third 681 00:40:12,280 --> 00:40:14,400 Speaker 1: of the country is obese. The third of the United 682 00:40:14,440 --> 00:40:18,440 Speaker 1: States is obese, and all of this, Like, think about this, 683 00:40:18,719 --> 00:40:22,160 Speaker 1: All of those things are happened while we cut fat 684 00:40:22,440 --> 00:40:24,560 Speaker 1: essentially out of our diets. So that just goes to 685 00:40:24,600 --> 00:40:26,839 Speaker 1: show you, like that that didn't work. That's not going 686 00:40:26,880 --> 00:40:29,719 Speaker 1: to help that we have to rethink this whole thing 687 00:40:29,800 --> 00:40:33,480 Speaker 1: for sure. Yeah, and again we're not poopooing the Mediterranean diet. 688 00:40:33,520 --> 00:40:38,400 Speaker 1: There's also the flip side of this stuff with keto um, 689 00:40:38,600 --> 00:40:42,319 Speaker 1: the Atkins diet and paleo stuff like that. You know, 690 00:40:42,440 --> 00:40:44,080 Speaker 1: I think we've tried to you know, we're not gonna 691 00:40:44,080 --> 00:40:46,480 Speaker 1: tell anyone how to eat, and we're not dietitians, but 692 00:40:46,520 --> 00:40:48,480 Speaker 1: we've tried to preach over the past couple of years. 693 00:40:49,320 --> 00:40:53,120 Speaker 1: You know, eat real foods, eat balanced diets, try and moderation, 694 00:40:53,920 --> 00:41:01,600 Speaker 1: moderation and you know, calorie reasonable, calorie restriction and exercise. Yeah, 695 00:41:01,680 --> 00:41:05,840 Speaker 1: and and I mean portion control. Two is it sucks 696 00:41:06,120 --> 00:41:09,600 Speaker 1: when you first do it. It sucks to get used to, 697 00:41:09,719 --> 00:41:12,719 Speaker 1: but once you get used to it, it's it's um, 698 00:41:12,760 --> 00:41:15,960 Speaker 1: it's easy to maintain it. It's also easy to go 699 00:41:16,000 --> 00:41:18,319 Speaker 1: back on when you're like, I'm gonna eat this whole 700 00:41:18,360 --> 00:41:20,480 Speaker 1: box of Hamburger Helper tonight. I know, but how does 701 00:41:20,480 --> 00:41:24,600 Speaker 1: that make you feel? It makes you feel like garbage? Yeah, 702 00:41:24,719 --> 00:41:28,480 Speaker 1: ultimately emotionally and even if it's hitting a reward center. 703 00:41:29,000 --> 00:41:34,160 Speaker 1: And trust me, there so many reasons that people don't 704 00:41:34,200 --> 00:41:36,000 Speaker 1: eat the right things and eat too much of the 705 00:41:36,040 --> 00:41:40,520 Speaker 1: wrong things, emotional reasons and psychological reasons, and we're not 706 00:41:40,800 --> 00:41:44,239 Speaker 1: all that stuff is valid. But um, even if it's 707 00:41:44,280 --> 00:41:47,719 Speaker 1: hitting that reward center, it will probably also make you 708 00:41:47,760 --> 00:41:52,200 Speaker 1: feel awful emotionally and physically. It's true and like and 709 00:41:52,239 --> 00:41:55,080 Speaker 1: also just to say like, we're definitely on our high 710 00:41:55,080 --> 00:41:58,400 Speaker 1: horses right now, but we're no better than anybody else. 711 00:41:58,440 --> 00:42:01,680 Speaker 1: Like we know, I'm still sixty pound. I mean, we 712 00:42:01,719 --> 00:42:03,880 Speaker 1: had you mean and I split a whole roll of 713 00:42:03,920 --> 00:42:09,080 Speaker 1: Pillsbury cinnamon rolls last Yeah, I know, tough to turn 714 00:42:09,120 --> 00:42:11,799 Speaker 1: those down. Um, I can't even get this stuff. But 715 00:42:12,160 --> 00:42:16,920 Speaker 1: it's just the it's the well, no chucking, you're right 716 00:42:17,120 --> 00:42:22,200 Speaker 1: having it in your house is problem one. Not having 717 00:42:22,239 --> 00:42:25,560 Speaker 1: it in your house actually is helpful. It's crazy, it's weird, 718 00:42:25,600 --> 00:42:28,799 Speaker 1: but it actually works, especially during a quarantine when you 719 00:42:28,840 --> 00:42:31,000 Speaker 1: can't just pop up or you don't feel like you 720 00:42:31,000 --> 00:42:32,759 Speaker 1: should pop up to the store and get that. Ben 721 00:42:32,760 --> 00:42:35,920 Speaker 1: and Jerry's right exactly, like, yeah, yeah for sure, because 722 00:42:35,960 --> 00:42:38,680 Speaker 1: then you're you just your past around your kitchenutil this 723 00:42:38,800 --> 00:42:41,400 Speaker 1: time you go to bed, but you didn't need anything 724 00:42:42,239 --> 00:42:44,480 Speaker 1: get that. You know what I tried the other night? 725 00:42:44,960 --> 00:42:49,000 Speaker 1: What that that peanut butter and whipped cream? Oh? What 726 00:42:49,080 --> 00:42:52,080 Speaker 1: do you think? It's delicious? I'm sorry, I still haven't 727 00:42:52,080 --> 00:42:54,920 Speaker 1: eating a peanut butter and mayo sandwich yet. No, it's 728 00:42:54,960 --> 00:42:57,719 Speaker 1: really good. Emily made. She makes a good homemade whip cream. 729 00:42:57,719 --> 00:43:01,600 Speaker 1: And it was Oh yeah, it was delish. Yeah, it's 730 00:43:01,640 --> 00:43:04,880 Speaker 1: it's uh, it's hard to turn down. Now I want some, 731 00:43:05,239 --> 00:43:07,359 Speaker 1: but you know, have a little bit of that one night, 732 00:43:07,800 --> 00:43:09,879 Speaker 1: then I won't have any for a little while. Yeah. 733 00:43:09,920 --> 00:43:11,720 Speaker 1: And even I think what I was gonna say earlier 734 00:43:11,800 --> 00:43:16,480 Speaker 1: is walking around with this information is good and helpful, 735 00:43:16,719 --> 00:43:19,880 Speaker 1: and like you're never going to always adhere to it 736 00:43:19,880 --> 00:43:22,360 Speaker 1: probably wouldn't be that fun of a life to always 737 00:43:22,400 --> 00:43:26,000 Speaker 1: adhere to it, but they're just knowing it and kind 738 00:43:26,000 --> 00:43:28,440 Speaker 1: of using it as like a general compass or guide 739 00:43:28,600 --> 00:43:31,920 Speaker 1: that will make you healthier and we'll make you feel better. 740 00:43:32,080 --> 00:43:33,920 Speaker 1: And maybe at some point along the line, if you 741 00:43:33,920 --> 00:43:36,440 Speaker 1: already have this info, you're gonna get a kick in 742 00:43:36,480 --> 00:43:40,719 Speaker 1: the pants by something. Um, you're gonna hit like a 743 00:43:40,719 --> 00:43:43,560 Speaker 1: period of growth, and that might be part of it. 744 00:43:43,600 --> 00:43:45,840 Speaker 1: You might like loosen weight, you might get over a 745 00:43:45,920 --> 00:43:48,960 Speaker 1: chronic disease, you might all sorts of things might happen 746 00:43:49,040 --> 00:43:52,640 Speaker 1: because you know what to eat or how to start 747 00:43:52,640 --> 00:43:54,960 Speaker 1: thinking about your food. It's just good to keep in 748 00:43:55,000 --> 00:43:57,480 Speaker 1: your back pocket. At least it is. And uh, in 749 00:43:57,560 --> 00:43:59,399 Speaker 1: the end it what doesn't matter anyway, because it all 750 00:43:59,400 --> 00:44:03,920 Speaker 1: has to do with the health of your grandfather, right yeah. 751 00:44:04,160 --> 00:44:05,920 Speaker 1: Um hey. One other thing I want to say is 752 00:44:06,280 --> 00:44:11,360 Speaker 1: that critic Zoe dr Zoe Harcomb. She pointed out that 753 00:44:11,480 --> 00:44:15,000 Speaker 1: actually the strongest correlation that the seven countries study turned 754 00:44:15,120 --> 00:44:19,799 Speaker 1: up was um, the where the latitude of where the 755 00:44:19,840 --> 00:44:24,240 Speaker 1: person lived sunshine, right yeah, And which is really strange 756 00:44:24,440 --> 00:44:26,719 Speaker 1: until she points out and I'm not sure how much 757 00:44:26,760 --> 00:44:29,920 Speaker 1: she was pointing this out to basically undermine the seven 758 00:44:29,920 --> 00:44:33,560 Speaker 1: country studies, but it does make sense in a way too, 759 00:44:33,600 --> 00:44:37,880 Speaker 1: is she's saying, well, um, we synthesize vitamin D uh 760 00:44:37,920 --> 00:44:41,879 Speaker 1: in our skin from cholesterol in the skin when it's 761 00:44:41,920 --> 00:44:45,480 Speaker 1: exposed to sunshine. Um, and vitamin D has a lot 762 00:44:45,520 --> 00:44:48,359 Speaker 1: of protective qualities for the immune system, so maybe that 763 00:44:48,400 --> 00:44:50,440 Speaker 1: has to do with it. Yeah, I'm glad you pointed 764 00:44:50,440 --> 00:44:54,640 Speaker 1: that out. Yeah, well that's it for nutrition. We'll probably 765 00:44:54,640 --> 00:44:57,240 Speaker 1: never talk about it again. That's not true at all. 766 00:44:57,480 --> 00:44:59,560 Speaker 1: And since I said that, it's time for listener maiw 767 00:45:02,080 --> 00:45:07,759 Speaker 1: all right, I'm gonna call this, uh, Jackhammers. Why did 768 00:45:07,800 --> 00:45:10,920 Speaker 1: you do that? I don't know why not people asked me, 769 00:45:11,040 --> 00:45:13,400 Speaker 1: asked on Twitter, They're like, why why I thought you 770 00:45:13,400 --> 00:45:15,400 Speaker 1: guys hated this? And I said, yeah, I think Chuck's 771 00:45:15,400 --> 00:45:18,560 Speaker 1: got some weird self loathing going on trolling and I 772 00:45:18,640 --> 00:45:22,000 Speaker 1: just got caught up unfairly. Yeah. So we we have 773 00:45:22,120 --> 00:45:25,799 Speaker 1: often and long made fun of our Jackhammers episode, and 774 00:45:25,920 --> 00:45:28,120 Speaker 1: I re released it as a stuff you should have 775 00:45:28,160 --> 00:45:31,239 Speaker 1: select just to be cheeky, and this is about that 776 00:45:31,280 --> 00:45:35,239 Speaker 1: because Chris from Massachusetts really appreciated it. Hey, guys, just 777 00:45:35,280 --> 00:45:37,520 Speaker 1: finished listening to stuff you should have select on Jackhammers, 778 00:45:37,560 --> 00:45:40,000 Speaker 1: and I know you call it the most most boring, 779 00:45:40,040 --> 00:45:42,960 Speaker 1: worst one, but I actually enjoyed it. I'm a mechanical engineer. 780 00:45:43,080 --> 00:45:46,040 Speaker 1: In college, took a class on vibrations, which led to 781 00:45:46,160 --> 00:45:49,640 Speaker 1: conducting research on noise. On the noise that a jackhammer makes. 782 00:45:50,239 --> 00:45:53,400 Speaker 1: This is we did that show for this guy. Uh. 783 00:45:53,480 --> 00:45:55,759 Speaker 1: The noise or the ring that you hear when a 784 00:45:55,840 --> 00:45:59,400 Speaker 1: jackhammer strikes is the resonant frequency of the jackhammer Moyl 785 00:45:59,520 --> 00:46:03,440 Speaker 1: point after being struck by the inner pile driver. I 786 00:46:03,440 --> 00:46:06,239 Speaker 1: don't think we said any of that stuff. I was 787 00:46:06,239 --> 00:46:09,520 Speaker 1: working with my professor on developing an inner damper to 788 00:46:09,600 --> 00:46:14,440 Speaker 1: reduce that noise produced for the same reasons that you 789 00:46:14,520 --> 00:46:17,120 Speaker 1: named in your podcast. Some of the concepts he developed 790 00:46:17,440 --> 00:46:19,560 Speaker 1: we're quite amazing. You could take one of the moils 791 00:46:19,560 --> 00:46:22,719 Speaker 1: he designed and drop it on a concrete floor and 792 00:46:22,760 --> 00:46:24,919 Speaker 1: instead of alloud ringing you expect to hear, it would 793 00:46:25,000 --> 00:46:29,000 Speaker 1: land with a soft thud. Unfortunately, the concepts never quite 794 00:46:29,360 --> 00:46:34,800 Speaker 1: panned out, but we call them moils right exactly. Uh, 795 00:46:34,960 --> 00:46:37,600 Speaker 1: but your podcast reminded me of the many nights spent 796 00:46:37,640 --> 00:46:39,600 Speaker 1: in the lab collecting piles of data and the painful 797 00:46:39,680 --> 00:46:42,440 Speaker 1: ringing that you mentioned in the show. Thanks for the 798 00:46:42,480 --> 00:46:45,600 Speaker 1: countless amazing episodes. My girlfriend and I have gotten many 799 00:46:45,640 --> 00:46:48,719 Speaker 1: hours of entertainment from your show and truly appreciate all 800 00:46:48,760 --> 00:46:53,439 Speaker 1: the great content and laughs. Chris from Massachusetts. Chris, thank 801 00:46:53,480 --> 00:46:55,799 Speaker 1: you for getting in touch and thank you for your 802 00:46:55,920 --> 00:46:59,239 Speaker 1: attempted contribution to the world. Had it paid off, that 803 00:46:59,280 --> 00:47:01,920 Speaker 1: really would have been something. But thank you for even trying. 804 00:47:02,760 --> 00:47:05,120 Speaker 1: Um And if you want to be like Chris and 805 00:47:05,640 --> 00:47:08,480 Speaker 1: let us know that you're an unsung hero, we want 806 00:47:08,520 --> 00:47:10,600 Speaker 1: to hear about that. Uh. And if you know an 807 00:47:10,640 --> 00:47:13,520 Speaker 1: unsung hero, let us know about that person too. You 808 00:47:13,560 --> 00:47:17,080 Speaker 1: can send it in an email to Stuff Podcasts at 809 00:47:17,080 --> 00:47:22,880 Speaker 1: iHeart radio dot com. Stuff you Should Know is a 810 00:47:22,880 --> 00:47:26,000 Speaker 1: production of iHeart Radios. How stuff works for more podcasts 811 00:47:26,000 --> 00:47:27,919 Speaker 1: for my heart Radio because at the iHeart Radio app, 812 00:47:28,000 --> 00:47:30,640 Speaker 1: Apple Podcasts, or wherever you listen to your favorite shows. 813 00:47:33,840 --> 00:47:33,880 Speaker 1: H