1 00:00:03,120 --> 00:00:05,920 Speaker 1: Welcome to Stuff to Blow your Mind from how stup 2 00:00:05,920 --> 00:00:16,480 Speaker 1: works dot com. Hey you welcome to stuff to blow 3 00:00:16,480 --> 00:00:20,000 Speaker 1: your mind. My name is Robert Lamb and I'm Christian Seger. Robert. 4 00:00:20,680 --> 00:00:23,599 Speaker 1: The audience probably doesn't know this, but you're a tall person. 5 00:00:24,160 --> 00:00:28,319 Speaker 1: I'm reasonably tall. I'm six two or six three. Yeah, 6 00:00:28,440 --> 00:00:30,800 Speaker 1: you're taller than me and Joe for sure. Though, as 7 00:00:30,880 --> 00:00:32,800 Speaker 1: we found out when we did our photo shoots a 8 00:00:32,840 --> 00:00:35,360 Speaker 1: couple of months ago, we always and whenever we do 9 00:00:35,440 --> 00:00:37,360 Speaker 1: the Facebook lives, we usually end up putting you in 10 00:00:37,360 --> 00:00:39,880 Speaker 1: the middle. So it's not like this weird lopsided three 11 00:00:39,880 --> 00:00:42,839 Speaker 1: headed creature. But yeah, you're definitely taller than the two 12 00:00:42,840 --> 00:00:47,519 Speaker 1: of us. I'm five. Depending on I guess, like how 13 00:00:47,560 --> 00:00:50,320 Speaker 1: how good my day is going. You know, it's interesting 14 00:00:50,360 --> 00:00:52,920 Speaker 1: to think about exact heights because some of the literature 15 00:00:52,960 --> 00:00:56,400 Speaker 1: were looking after this episode. I saw estimations onto what 16 00:00:56,560 --> 00:01:00,880 Speaker 1: degree nan round up their height? Oh yeah, and I 17 00:01:00,880 --> 00:01:04,240 Speaker 1: I find that I tend to round down. Really, I 18 00:01:04,280 --> 00:01:06,880 Speaker 1: can make a claim for six three, but I'd rather 19 00:01:06,920 --> 00:01:08,960 Speaker 1: just be six two, like I'm calling it at six two. 20 00:01:09,640 --> 00:01:12,640 Speaker 1: It's I bumped my head enough at six to uh 21 00:01:12,959 --> 00:01:15,360 Speaker 1: if I even think I'm a little bit taller. I 22 00:01:15,360 --> 00:01:17,200 Speaker 1: feel like I'm just gonna have more head injuries. That's 23 00:01:17,240 --> 00:01:19,720 Speaker 1: funny because I do the opposite. I totally round up 24 00:01:19,880 --> 00:01:22,000 Speaker 1: because I'm like, you know, when when I get the 25 00:01:22,000 --> 00:01:24,280 Speaker 1: measurement at like the doctor's office or whatever, it's like 26 00:01:24,400 --> 00:01:27,560 Speaker 1: five nine and three quarters or something like that, Like, 27 00:01:27,800 --> 00:01:30,440 Speaker 1: you know, I'm not totally five ten, but I just 28 00:01:30,560 --> 00:01:34,200 Speaker 1: say five ten to everybody. That's interesting, huh that somebody 29 00:01:34,200 --> 00:01:37,479 Speaker 1: should do a study on that. Uh, that would be 30 00:01:37,560 --> 00:01:40,360 Speaker 1: interesting in relation to what we're gonna talk about today. 31 00:01:40,480 --> 00:01:43,120 Speaker 1: So this is one of those like scientific I don't know, 32 00:01:43,280 --> 00:01:45,280 Speaker 1: past times that we end up seeing in like our 33 00:01:45,319 --> 00:01:49,760 Speaker 1: popular media a lot, like especially newspapers, that it's basically 34 00:01:49,800 --> 00:01:52,440 Speaker 1: like every couple of months, there's a publication that comes 35 00:01:52,440 --> 00:01:54,960 Speaker 1: out and it says, well, if you're over this height, 36 00:01:55,040 --> 00:01:58,920 Speaker 1: like if you're tall, then you're gonna live longer. If 37 00:01:58,960 --> 00:02:03,360 Speaker 1: you're short, you're gonna a die sooner, right, right, And 38 00:02:03,400 --> 00:02:05,320 Speaker 1: then like people read that and they're like, oh my god, 39 00:02:05,400 --> 00:02:06,960 Speaker 1: they go out of their minds. They start they go 40 00:02:06,960 --> 00:02:08,960 Speaker 1: out and they run for like two weeks, and then 41 00:02:09,000 --> 00:02:12,320 Speaker 1: they're like it's fine whatever. Well, and then likewise when 42 00:02:12,320 --> 00:02:16,000 Speaker 1: it comes to psychology. Uh, you'll find studies that that 43 00:02:16,080 --> 00:02:19,119 Speaker 1: are basically saying, oh, well, well short, shorter people that 44 00:02:19,280 --> 00:02:22,120 Speaker 1: behave like this, taller people behave like this. And then 45 00:02:22,120 --> 00:02:24,320 Speaker 1: we start turning the microscope on ourselves and like, oh, man, 46 00:02:24,360 --> 00:02:26,720 Speaker 1: am I like that? Do I have a Napoleon complex? 47 00:02:26,840 --> 00:02:28,000 Speaker 1: Or am I do I have some sort of like 48 00:02:28,040 --> 00:02:32,760 Speaker 1: tall person vanity? And uh, it gets problematic because you 49 00:02:32,840 --> 00:02:37,480 Speaker 1: end up with these broad generalities, oftentimes supported, especially in 50 00:02:37,480 --> 00:02:40,000 Speaker 1: the psychology realm, by studies that are maybe not that 51 00:02:40,120 --> 00:02:42,680 Speaker 1: large and convinced. Yeah, And so this is how we 52 00:02:42,720 --> 00:02:44,760 Speaker 1: got on the track for this episode. Was one of 53 00:02:44,800 --> 00:02:46,760 Speaker 1: these studies across our desk and we're like, oh, that's 54 00:02:46,800 --> 00:02:48,839 Speaker 1: kind of interesting, and it was, well, we'll mention it later, 55 00:02:48,880 --> 00:02:53,240 Speaker 1: but it was about height and lung disease, and we 56 00:02:53,240 --> 00:02:55,320 Speaker 1: were like, let's actually like take a look at like 57 00:02:55,360 --> 00:02:58,920 Speaker 1: the gamut here and see like all these studies together, 58 00:02:59,560 --> 00:03:03,120 Speaker 1: what we actually come down to, like, what is is 59 00:03:03,160 --> 00:03:06,120 Speaker 1: there anything to this? And if there is, is it 60 00:03:06,160 --> 00:03:08,080 Speaker 1: better to be taller? Is it better to be short? 61 00:03:08,160 --> 00:03:11,400 Speaker 1: In terms of health and both physical and mental? I 62 00:03:11,440 --> 00:03:13,639 Speaker 1: want to touch on just a couple of quick overviews 63 00:03:13,680 --> 00:03:16,680 Speaker 1: about human height. So over the last hundred and fifty years, 64 00:03:16,760 --> 00:03:20,080 Speaker 1: the average height of people in industrialized nations has increased 65 00:03:20,320 --> 00:03:23,760 Speaker 1: approximately ten centimeters or about four inches, and today the 66 00:03:23,800 --> 00:03:27,480 Speaker 1: average human height is currently about five ft seven and 67 00:03:27,480 --> 00:03:30,560 Speaker 1: a half inches for males or one seven two centimeters 68 00:03:30,600 --> 00:03:33,239 Speaker 1: and five ft two or one d fifty eight centimeters 69 00:03:33,280 --> 00:03:36,280 Speaker 1: for females. Uh. And the this has said a hundred 70 00:03:36,280 --> 00:03:38,160 Speaker 1: and fifty years out of all human history, that's a 71 00:03:38,280 --> 00:03:42,680 Speaker 1: very recent development. We actually have another episode of stuff 72 00:03:42,680 --> 00:03:44,520 Speaker 1: to blow your mind wanted to with Joe a while 73 00:03:44,520 --> 00:03:47,280 Speaker 1: back called Colossal the Science of Human Height that gets 74 00:03:47,280 --> 00:03:51,120 Speaker 1: a little more into why humans have grown or have 75 00:03:51,160 --> 00:03:53,240 Speaker 1: grown taller in the last hundred and fifty years, as 76 00:03:53,280 --> 00:03:57,840 Speaker 1: well as a look at certain gigantism scenarios. Yeah, so 77 00:03:57,920 --> 00:04:00,600 Speaker 1: that hundred and fifty years or so ends up pretty 78 00:04:00,600 --> 00:04:04,760 Speaker 1: well with our understanding of why height is related to health, 79 00:04:04,880 --> 00:04:08,720 Speaker 1: and in the basic assumption goes something like this that, uh, 80 00:04:08,760 --> 00:04:13,080 Speaker 1: it's a combination of your genetic potential and what's referred 81 00:04:13,080 --> 00:04:16,160 Speaker 1: to as net nutrition. So this is the food you taken, 82 00:04:16,440 --> 00:04:20,120 Speaker 1: especially during childhood, and how it determines how tall you 83 00:04:20,160 --> 00:04:22,679 Speaker 1: can grow. But then it's referred to as net nutrition 84 00:04:22,720 --> 00:04:26,600 Speaker 1: because there's things that can take away from the the net, 85 00:04:27,839 --> 00:04:30,479 Speaker 1: such as disease. So if you're if you have disease 86 00:04:30,480 --> 00:04:33,920 Speaker 1: in in your childhood, that can subtract from your net nutrition, 87 00:04:34,520 --> 00:04:36,720 Speaker 1: maybe leading to being a little shorter. So what we're 88 00:04:36,720 --> 00:04:39,240 Speaker 1: seeing is like as our nutrition has gotten better, as 89 00:04:39,320 --> 00:04:43,279 Speaker 1: the world has become more developed, as wealth is spread around. 90 00:04:43,839 --> 00:04:48,200 Speaker 1: That's why, especially in the America's and Europe, there are 91 00:04:48,400 --> 00:04:53,359 Speaker 1: taller people now. Now. For a long time, historians have 92 00:04:53,560 --> 00:04:57,480 Speaker 1: used recorded height actually as an indicator of the living 93 00:04:57,600 --> 00:05:01,440 Speaker 1: standard in both our health and our income. And this 94 00:05:01,520 --> 00:05:04,360 Speaker 1: is basically because there's not a whole lot of other 95 00:05:04,440 --> 00:05:06,920 Speaker 1: data available when they're looking at old records. Right, It's 96 00:05:06,920 --> 00:05:10,440 Speaker 1: not like we would have like socio economic records of 97 00:05:10,480 --> 00:05:12,680 Speaker 1: somebody's name written down, but a lot of times they 98 00:05:12,720 --> 00:05:15,480 Speaker 1: do record their height and their weight. Uh. And so 99 00:05:15,600 --> 00:05:18,599 Speaker 1: this general assumption about people earning more money and then 100 00:05:18,600 --> 00:05:21,440 Speaker 1: that being connected to health, that's one of the big 101 00:05:21,520 --> 00:05:23,760 Speaker 1: questions here for us today. I think, I mean maybe, 102 00:05:23,920 --> 00:05:27,040 Speaker 1: so there was this instance in China, there's a study 103 00:05:27,080 --> 00:05:31,000 Speaker 1: found that height does increase as health and survival do 104 00:05:31,480 --> 00:05:33,680 Speaker 1: in the twentieth century, so we're seeing that reflected in 105 00:05:33,800 --> 00:05:36,520 Speaker 1: China now the same way we saw it in America 106 00:05:36,680 --> 00:05:40,320 Speaker 1: and in Europe. This seems to support the idea that 107 00:05:40,400 --> 00:05:44,320 Speaker 1: adult height is like quote, a crystal ball that reflects 108 00:05:44,320 --> 00:05:48,600 Speaker 1: early life conditions such as nutrition and disease. So you know, 109 00:05:48,720 --> 00:05:51,600 Speaker 1: maybe there's something to that, But basically, the way we're 110 00:05:51,600 --> 00:05:55,440 Speaker 1: gonna look at it today is like, what are the 111 00:05:55,480 --> 00:05:58,240 Speaker 1: meta studies on this, right, Like, has anybody bothered to 112 00:05:58,279 --> 00:06:00,560 Speaker 1: take a wide lens look at all of these and 113 00:06:00,640 --> 00:06:03,080 Speaker 1: kind of figure out, like, so, what's the truth here 114 00:06:03,160 --> 00:06:05,520 Speaker 1: or not? And then we're gonna zoom in on the 115 00:06:05,560 --> 00:06:09,080 Speaker 1: ones that are detailed that are specifically about like organs 116 00:06:09,120 --> 00:06:11,679 Speaker 1: such as like your heart or your lungs or your brain, 117 00:06:11,880 --> 00:06:15,159 Speaker 1: and like whether or not those are affected by your height. Yeah, 118 00:06:15,160 --> 00:06:17,640 Speaker 1: because we you know, you get into the specifics of 119 00:06:17,680 --> 00:06:19,560 Speaker 1: all of this and you look at like, okay, who 120 00:06:19,640 --> 00:06:22,800 Speaker 1: tends to live the longest and it's a based on 121 00:06:22,839 --> 00:06:24,400 Speaker 1: the information I was looking at, yes, you, I believe 122 00:06:24,400 --> 00:06:27,720 Speaker 1: it's Japanese women, and like the longest in the Japanese women, 123 00:06:28,080 --> 00:06:30,640 Speaker 1: I'll do not have a reputation as being just towering 124 00:06:30,680 --> 00:06:33,839 Speaker 1: physical giants. So a lot of this, you know, you 125 00:06:33,880 --> 00:06:36,000 Speaker 1: deal with the generalities when you break it down, everybody 126 00:06:36,000 --> 00:06:38,080 Speaker 1: can name a short person who live for a long 127 00:06:38,080 --> 00:06:40,520 Speaker 1: time or a short short person who died early. The 128 00:06:40,560 --> 00:06:43,719 Speaker 1: same with with tall people, and nobody's coming up to 129 00:06:43,839 --> 00:06:46,520 Speaker 1: a tall person a short person on the street and saying, oh, 130 00:06:46,520 --> 00:06:48,440 Speaker 1: why did they not feed you when you were a child, 131 00:06:48,480 --> 00:06:51,320 Speaker 1: and you you will live forever. When you get into, 132 00:06:51,360 --> 00:06:55,320 Speaker 1: of course, the extremes, When you get into conditions that 133 00:06:55,440 --> 00:06:58,359 Speaker 1: cause an individual to be um you know, extremely a 134 00:06:58,400 --> 00:07:01,240 Speaker 1: small in stature, or you know they're suffering from some 135 00:07:01,279 --> 00:07:05,160 Speaker 1: sort of a gigantism scenario, then everything is going to 136 00:07:05,200 --> 00:07:07,479 Speaker 1: potentially be more out of line. But when we're doing 137 00:07:07,560 --> 00:07:10,360 Speaker 1: with sort of the standard realm of human heights, that's 138 00:07:10,360 --> 00:07:13,480 Speaker 1: where it gets really interesting and and difficult to to 139 00:07:13,560 --> 00:07:16,440 Speaker 1: pull apart. So let's look at this first theory, which 140 00:07:16,480 --> 00:07:19,760 Speaker 1: is just the general idea that short people live longer 141 00:07:19,800 --> 00:07:23,000 Speaker 1: than the tall people. Now we'll go to that example 142 00:07:23,040 --> 00:07:26,280 Speaker 1: that Robert just mentioned. According to the World Health Organization, 143 00:07:26,360 --> 00:07:29,840 Speaker 1: Japanese women have the longest average lifespan in the world. 144 00:07:29,920 --> 00:07:33,160 Speaker 1: They live to be, on average, eighty six years old. 145 00:07:33,560 --> 00:07:37,000 Speaker 1: The average height of a Japanese woman between the ages 146 00:07:37,040 --> 00:07:40,640 Speaker 1: of seventy and eighty is a hundred and forty nine 147 00:07:40,720 --> 00:07:44,840 Speaker 1: point five four centimeters or about four point nine feet tall, 148 00:07:45,080 --> 00:07:47,400 Speaker 1: So you and I would be towering over these people, 149 00:07:47,480 --> 00:07:51,440 Speaker 1: would be easily a foot or more over them. Um, 150 00:07:51,480 --> 00:07:55,600 Speaker 1: but they live longer. So for comparison, the average US 151 00:07:55,680 --> 00:07:59,040 Speaker 1: man like Robert and myself, lives to be about seventy 152 00:07:59,080 --> 00:08:02,679 Speaker 1: five And in two thousand and twelve, a study found 153 00:08:03,000 --> 00:08:06,360 Speaker 1: that shorter men in the US do actually live longer 154 00:08:06,400 --> 00:08:09,080 Speaker 1: than taller men. So that's one in my column. Although 155 00:08:09,120 --> 00:08:11,760 Speaker 1: I don't know, I don't know if I qualify as shorter. 156 00:08:11,840 --> 00:08:14,400 Speaker 1: I'm shorter than you, but I don't know if I'm shorter. 157 00:08:15,000 --> 00:08:16,520 Speaker 1: And we're gonna find this when we look at these 158 00:08:16,560 --> 00:08:19,920 Speaker 1: studies that the measurements are all over the place in 159 00:08:20,000 --> 00:08:22,640 Speaker 1: terms of like what height they used to measure as 160 00:08:22,680 --> 00:08:25,480 Speaker 1: tall and above, and what height they use as short 161 00:08:25,560 --> 00:08:29,720 Speaker 1: and lower. But here's the thing. There really isn't a 162 00:08:30,040 --> 00:08:34,880 Speaker 1: proven direct relationship between height and life expectancy. But there's 163 00:08:34,920 --> 00:08:38,280 Speaker 1: this idea out there that's connected to the short people 164 00:08:38,320 --> 00:08:42,400 Speaker 1: live longer theory called the Methuselah gene uh. And this 165 00:08:42,480 --> 00:08:45,800 Speaker 1: is named after Noah's grandfather in the Bible, he was 166 00:08:45,880 --> 00:08:47,839 Speaker 1: the oldest man that was listed in the Bible, and 167 00:08:47,920 --> 00:08:51,400 Speaker 1: he lived to age nine hundred and sixty nine. So 168 00:08:51,920 --> 00:08:54,240 Speaker 1: apparently none of us get to a thousand, even in 169 00:08:54,280 --> 00:08:57,600 Speaker 1: the Bible. Now, this Methuselah gene seems to be connected 170 00:08:57,640 --> 00:09:00,760 Speaker 1: to the idea that short people live longer, and basically 171 00:09:00,800 --> 00:09:04,239 Speaker 1: it's a rare genetic mutation that decreases the body's cellular 172 00:09:04,400 --> 00:09:07,520 Speaker 1: use of a particular kind of growth hormone, and those 173 00:09:07,600 --> 00:09:10,360 Speaker 1: who have it tend to be smaller and live longer. 174 00:09:10,400 --> 00:09:12,840 Speaker 1: But there are all kinds of factors that could be 175 00:09:12,840 --> 00:09:15,440 Speaker 1: involved here, right, that aren't just this gene. There could 176 00:09:15,440 --> 00:09:21,960 Speaker 1: be lifestyle factors, birth weight, early childhood, care, nutrition, vaccinations, antibiotics, diet, 177 00:09:22,000 --> 00:09:24,560 Speaker 1: and income level. All of these things are important. So 178 00:09:24,600 --> 00:09:27,800 Speaker 1: it's weird that we keep looking to height, and it 179 00:09:27,840 --> 00:09:30,160 Speaker 1: seems to be that we're doing that because of that 180 00:09:30,320 --> 00:09:34,200 Speaker 1: historical precedent, right, just like the basic idea that well, 181 00:09:34,280 --> 00:09:38,360 Speaker 1: height is connected to wealth, and subsequently wealth is connected 182 00:09:38,400 --> 00:09:42,080 Speaker 1: to a good nutritious environment, therefore those people will live 183 00:09:42,120 --> 00:09:45,800 Speaker 1: long access to healthcare as well, Yeah, exactly. Now, the 184 00:09:45,880 --> 00:09:50,520 Speaker 1: evolutionary biologist Dr Armand Leroy discovered the hormone that controls 185 00:09:50,520 --> 00:09:53,880 Speaker 1: our height, which is called insulin like growth factor or 186 00:09:53,960 --> 00:09:55,360 Speaker 1: we're going to just refer to it as i g 187 00:09:55,600 --> 00:09:58,720 Speaker 1: F here, and that it controls our height, but it 188 00:09:58,800 --> 00:10:01,920 Speaker 1: also controls our aging and so if you have a 189 00:10:01,920 --> 00:10:04,280 Speaker 1: low level of i g F, this means you're going 190 00:10:04,320 --> 00:10:07,720 Speaker 1: to have a longer life expectancy, right. Well, in animals 191 00:10:07,720 --> 00:10:10,280 Speaker 1: this seems to be true. For instance, smaller dogs live 192 00:10:10,720 --> 00:10:13,120 Speaker 1: longer than bigger dogs. This is this is an example 193 00:10:13,160 --> 00:10:14,920 Speaker 1: I thought of as being something that even if we're 194 00:10:14,920 --> 00:10:17,599 Speaker 1: not like directly analyzing it, it's in the background, Like 195 00:10:17,640 --> 00:10:19,120 Speaker 1: a lot of us tend to know that you have 196 00:10:19,160 --> 00:10:21,960 Speaker 1: this giant dog, it might not live as long as 197 00:10:22,000 --> 00:10:25,920 Speaker 1: this smaller scrappy mutt. Yeah exactly. Like I have friends 198 00:10:25,960 --> 00:10:28,960 Speaker 1: who have like the like tea CuPy Yorkies, like tiny 199 00:10:29,000 --> 00:10:32,440 Speaker 1: little dogs, and they live a long time, and then 200 00:10:32,679 --> 00:10:34,440 Speaker 1: like I guess, I mean, I don't remember what the 201 00:10:34,440 --> 00:10:36,440 Speaker 1: averages are, but like a big dog, I think isn't 202 00:10:36,440 --> 00:10:38,880 Speaker 1: expected to live longer than like a decade, right, Yeah. 203 00:10:38,920 --> 00:10:41,520 Speaker 1: I mean I've known people who have had the like 204 00:10:41,600 --> 00:10:44,760 Speaker 1: Great Danes, yeah yeah, and I think I think they 205 00:10:44,800 --> 00:10:47,840 Speaker 1: have all all the Great Danes have passed. Yeah, yeah, 206 00:10:47,880 --> 00:10:51,120 Speaker 1: that's too bad. But here's the other thing. There's another 207 00:10:51,160 --> 00:10:54,040 Speaker 1: animal that we can look to for this mice. And 208 00:10:54,080 --> 00:10:57,280 Speaker 1: I never even thought about this, but apparently dwarf mice 209 00:10:57,800 --> 00:11:01,800 Speaker 1: lives seventy five percent longer than other mice. So if 210 00:11:01,840 --> 00:11:04,680 Speaker 1: we pull that out and we look at humans, right, 211 00:11:05,240 --> 00:11:08,559 Speaker 1: this idea of the I g F connected to our 212 00:11:08,600 --> 00:11:11,080 Speaker 1: height and our agings seems to come out to be 213 00:11:11,160 --> 00:11:15,000 Speaker 1: about for every extra inch of height, it shortens your 214 00:11:15,040 --> 00:11:19,040 Speaker 1: life expectancy by an average of one point two years. 215 00:11:19,120 --> 00:11:23,360 Speaker 1: So if you're six two and I'm five ten, then 216 00:11:23,840 --> 00:11:26,520 Speaker 1: we got what three four inches between us, depending on 217 00:11:26,600 --> 00:11:29,360 Speaker 1: how we're rounding or what kind of hats were wearing. 218 00:11:29,400 --> 00:11:33,200 Speaker 1: So according to this, I'm gonna live four point eight 219 00:11:33,280 --> 00:11:36,520 Speaker 1: years longer than you, maybe if I don't get hit 220 00:11:36,559 --> 00:11:39,280 Speaker 1: by a bus on my way out of here. Um So, 221 00:11:39,440 --> 00:11:40,959 Speaker 1: I mean that's kind of part of it, right, It's 222 00:11:40,960 --> 00:11:43,360 Speaker 1: like you can't really I mean, that's obviously getting hit 223 00:11:43,400 --> 00:11:47,679 Speaker 1: by a bus can't be factored into your your health expectancies. 224 00:11:47,720 --> 00:11:51,240 Speaker 1: But it's kind of it's not factoring and all those 225 00:11:51,240 --> 00:11:54,920 Speaker 1: other things like your lifestyle or your diet or whatever 226 00:11:55,000 --> 00:11:59,160 Speaker 1: or nutrition. So I'm not entirely convinced that height is 227 00:11:59,200 --> 00:12:03,520 Speaker 1: a reliable predictor of health. And actually there was a 228 00:12:03,559 --> 00:12:05,760 Speaker 1: meta study that was published on this. There's a paper 229 00:12:05,800 --> 00:12:08,559 Speaker 1: by Angus Deaton that was published in two thousand six 230 00:12:08,840 --> 00:12:11,600 Speaker 1: in the Proceedings of the National Academy of Sciences here 231 00:12:11,600 --> 00:12:14,400 Speaker 1: in the United States of America, and it indicates that 232 00:12:14,480 --> 00:12:19,480 Speaker 1: in developing countries there's an inconsistent relationship between height, health 233 00:12:19,480 --> 00:12:22,520 Speaker 1: and income. And he looked at developing countries specifically because 234 00:12:22,559 --> 00:12:26,080 Speaker 1: of the assumption that it's always been a money connected 235 00:12:26,080 --> 00:12:29,760 Speaker 1: to nutrition and health care factor. Now, his argument, after 236 00:12:29,880 --> 00:12:33,079 Speaker 1: looking at all these studies together is that basically heights 237 00:12:33,080 --> 00:12:37,360 Speaker 1: an unreliable predictor. For example, he asks why when he 238 00:12:37,400 --> 00:12:40,520 Speaker 1: looked at all of the measurements, were African people so 239 00:12:40,640 --> 00:12:43,920 Speaker 1: tall when they traditionally have a lower income and are 240 00:12:43,960 --> 00:12:47,200 Speaker 1: exposed to more disease. Right, So that seems the reverse 241 00:12:47,280 --> 00:12:50,720 Speaker 1: of what we we assume to be true about heightened health. 242 00:12:51,120 --> 00:12:54,040 Speaker 1: In the abstract for his paper, Deeton actually says taller 243 00:12:54,080 --> 00:12:57,440 Speaker 1: people earn more on average, and they do better on 244 00:12:57,559 --> 00:13:01,840 Speaker 1: cognitive tests and live longer. So that again, so we 245 00:13:01,840 --> 00:13:05,280 Speaker 1: were getting different reports here, right that his his research 246 00:13:05,360 --> 00:13:08,000 Speaker 1: the literary review that he went through for his paper 247 00:13:08,120 --> 00:13:11,600 Speaker 1: was basically that tall people live longer, even though we've 248 00:13:11,600 --> 00:13:13,840 Speaker 1: got all these other studies that say there's a methuselah 249 00:13:13,880 --> 00:13:17,320 Speaker 1: gene and short people live longer. So Deaton says that 250 00:13:17,360 --> 00:13:20,360 Speaker 1: as a consequence of possible disease and a lack of 251 00:13:20,440 --> 00:13:23,760 Speaker 1: nutrition earlier in life. The idea is that short people 252 00:13:23,800 --> 00:13:26,880 Speaker 1: are more prone to chronic disease late in life, and 253 00:13:26,960 --> 00:13:30,719 Speaker 1: therefore they're more likely to die earlier. But even the 254 00:13:30,760 --> 00:13:34,200 Speaker 1: increase in heights in Europe and North America are regarded 255 00:13:34,240 --> 00:13:37,439 Speaker 1: as not being driven by genetics, and this is specifically 256 00:13:37,440 --> 00:13:41,280 Speaker 1: here in Deeton's paper, but he says it's more about 257 00:13:41,400 --> 00:13:46,920 Speaker 1: changes in disease and nutritional environments. So all right, let's 258 00:13:46,960 --> 00:13:49,199 Speaker 1: back up here. Now we've got we've basically got two 259 00:13:49,240 --> 00:13:52,480 Speaker 1: competing meta theories. Right, We've got the one that says, well, 260 00:13:52,559 --> 00:13:56,080 Speaker 1: heights totally an unreliable predictor. H here's some data that 261 00:13:56,080 --> 00:13:58,360 Speaker 1: says people who are tall live longer. And then we've 262 00:13:58,360 --> 00:14:01,320 Speaker 1: got other studies that say, well, no, shorter people live 263 00:14:01,360 --> 00:14:05,480 Speaker 1: longer and there might be this methuslagen. Uh So what 264 00:14:05,520 --> 00:14:08,280 Speaker 1: we did was we basically pulled a bunch of studies 265 00:14:08,280 --> 00:14:11,559 Speaker 1: for this episode based on health and mental factors, and 266 00:14:11,600 --> 00:14:14,040 Speaker 1: we're gonna kind of go through them and cally up 267 00:14:14,040 --> 00:14:17,280 Speaker 1: as we go along and see which one of us 268 00:14:17,360 --> 00:14:21,200 Speaker 1: is going to live longer, Robert or me? Okay, the 269 00:14:21,280 --> 00:14:24,400 Speaker 1: great contest here. Okay, So let's take a quick break, 270 00:14:24,640 --> 00:14:34,240 Speaker 1: and when we come back, we're gonna start off with cancer. Alright, 271 00:14:34,280 --> 00:14:37,080 Speaker 1: we're back. We're talking about human height, short people, tall people, 272 00:14:37,600 --> 00:14:39,880 Speaker 1: shorter people or taller people. I guess you would say, 273 00:14:40,120 --> 00:14:43,400 Speaker 1: and uh, just the general question, does one of the 274 00:14:43,400 --> 00:14:47,040 Speaker 1: other have a leg up on living longer? Yeah? So, 275 00:14:47,240 --> 00:14:50,120 Speaker 1: unfortunately we don't have any studies into leg health related 276 00:14:50,160 --> 00:14:53,080 Speaker 1: to to height. Um, that seems like it would be 277 00:14:53,120 --> 00:14:54,440 Speaker 1: one of the first ones they'd go to, but I 278 00:14:54,480 --> 00:14:57,680 Speaker 1: didn't see any cross my radar. Uh. We do, however, 279 00:14:57,840 --> 00:15:01,480 Speaker 1: have a lot on cancer now out There has been 280 00:15:01,520 --> 00:15:04,760 Speaker 1: a link scene between breast cancer and women and height 281 00:15:05,160 --> 00:15:08,640 Speaker 1: that's been proposed as early as nineteen. So we're talking 282 00:15:08,640 --> 00:15:14,440 Speaker 1: about melanoma, thyroid, kidney, breast, colon, and rectum cancers all 283 00:15:14,520 --> 00:15:17,760 Speaker 1: being strongly associated with height, and studies have found that 284 00:15:17,840 --> 00:15:20,680 Speaker 1: women who are five ten or more are likely to 285 00:15:20,760 --> 00:15:24,280 Speaker 1: develop these types of cancers. Than women who are five 286 00:15:24,440 --> 00:15:27,600 Speaker 1: two or lower. So again, like as I said earlier, 287 00:15:27,880 --> 00:15:30,200 Speaker 1: each one of these studies uses a different metric for 288 00:15:30,320 --> 00:15:32,600 Speaker 1: what tall and short is, and this one apparently it's 289 00:15:32,640 --> 00:15:36,280 Speaker 1: five ten and five to uh. The explanation basically is 290 00:15:36,320 --> 00:15:40,760 Speaker 1: that tall women tend to have larger organs and subsequently 291 00:15:40,800 --> 00:15:44,320 Speaker 1: more cells, so their chance of developing a mutation that 292 00:15:44,400 --> 00:15:47,840 Speaker 1: leads to cancer is greater, and that this could ultimately 293 00:15:47,960 --> 00:15:52,560 Speaker 1: be their hormones influencing their risk of cancer. Okay, so 294 00:15:52,640 --> 00:15:55,280 Speaker 1: basically the idea is they have more dice to roll, 295 00:15:55,400 --> 00:15:57,520 Speaker 1: and therefore there's a greater chance they're gonna they're gonna 296 00:15:57,600 --> 00:16:00,360 Speaker 1: roll to one on one of those dis Yeah, which 297 00:16:00,440 --> 00:16:03,240 Speaker 1: I'm not sure. I don't know if that lines up 298 00:16:03,280 --> 00:16:06,320 Speaker 1: with like my the math that I remember for like 299 00:16:06,400 --> 00:16:09,200 Speaker 1: the g R E. But but well, let's go on. 300 00:16:09,400 --> 00:16:11,960 Speaker 1: We'll see if they've got some more stuff here. One 301 00:16:12,040 --> 00:16:15,680 Speaker 1: study of this used data from the Women's Health Initiative, 302 00:16:15,720 --> 00:16:18,080 Speaker 1: which is the study that was it took like a 303 00:16:18,120 --> 00:16:23,400 Speaker 1: broad look at women's health between at forty different clinics 304 00:16:23,440 --> 00:16:26,920 Speaker 1: across the United States, and even when they introduced controlling 305 00:16:27,040 --> 00:16:31,240 Speaker 1: factors like body weight b m I and socio economic status. 306 00:16:31,480 --> 00:16:35,000 Speaker 1: They found that there was a significant relationship between height 307 00:16:35,320 --> 00:16:38,400 Speaker 1: and cancer at any site in the body. Uh. And 308 00:16:38,480 --> 00:16:42,320 Speaker 1: for them, they said that for every additional ten centimeters 309 00:16:42,640 --> 00:16:45,360 Speaker 1: or three point nine four inches of height that a 310 00:16:45,400 --> 00:16:49,960 Speaker 1: woman had, she was one point one three times more 311 00:16:50,000 --> 00:16:54,760 Speaker 1: likely to have cancer, basically be at risk for cancer overall, 312 00:16:54,800 --> 00:16:58,560 Speaker 1: they weren't narrowing in on any of these specific cancers. Then, 313 00:16:58,640 --> 00:17:01,880 Speaker 1: Swedish academics just last year back this up with a 314 00:17:01,920 --> 00:17:04,760 Speaker 1: study that found that the taller you are, the more 315 00:17:04,880 --> 00:17:08,760 Speaker 1: likely you are to develop cancer. So for men, they 316 00:17:09,520 --> 00:17:12,280 Speaker 1: included men here, so it wasn't just you know, we're 317 00:17:12,280 --> 00:17:17,560 Speaker 1: looking at two different genders. Here the risk increases eleven 318 00:17:17,560 --> 00:17:21,560 Speaker 1: percent for every extra ten centimeters of height, while for 319 00:17:21,640 --> 00:17:24,760 Speaker 1: a woman it was actually eighteen percent for every ten 320 00:17:24,800 --> 00:17:28,800 Speaker 1: centimeters of height. So okay, so if we look at 321 00:17:28,840 --> 00:17:33,000 Speaker 1: these and it's two separate studies, I'd say, all right, 322 00:17:33,040 --> 00:17:35,720 Speaker 1: in this case, it seems that we have to tally 323 00:17:35,840 --> 00:17:38,960 Speaker 1: up that cancer is more likely and taller people, so 324 00:17:39,160 --> 00:17:41,760 Speaker 1: you're more likely to get cancer than I am. But 325 00:17:41,800 --> 00:17:44,960 Speaker 1: then again we're dealing with a general indicator here very much, 326 00:17:45,160 --> 00:17:48,600 Speaker 1: and there of course a number of other indicators for 327 00:17:48,600 --> 00:17:51,280 Speaker 1: for the risk of developing cancer. Yeah, like whether like 328 00:17:51,400 --> 00:17:54,560 Speaker 1: if I live next door to Chernobyl, right, yeah, yeah, 329 00:17:54,680 --> 00:17:59,359 Speaker 1: small shorter person smoking, taller person smoking, etcetera. So all right, 330 00:17:59,480 --> 00:18:01,960 Speaker 1: let's look at blood clots next. And the reason why 331 00:18:02,000 --> 00:18:05,120 Speaker 1: those are important is because they can potentially lead to strokes. 332 00:18:05,160 --> 00:18:09,200 Speaker 1: So another study found that if you're five ft two 333 00:18:09,320 --> 00:18:12,800 Speaker 1: or under in your weight. Now remember in most of 334 00:18:12,800 --> 00:18:14,760 Speaker 1: these your weight has to be close to normal for 335 00:18:14,880 --> 00:18:18,159 Speaker 1: your height, Like you can't be either super skinny or 336 00:18:18,720 --> 00:18:22,159 Speaker 1: morbidly obese and have that height that that's going to 337 00:18:22,240 --> 00:18:26,159 Speaker 1: throw the calculations off. But if you're a normal weight 338 00:18:26,280 --> 00:18:29,600 Speaker 1: and you're five to your three times less likely to 339 00:18:29,600 --> 00:18:33,520 Speaker 1: get a blood clot. And this is because blood must 340 00:18:33,560 --> 00:18:36,800 Speaker 1: be pumped a longer distance in taller people, which may 341 00:18:36,960 --> 00:18:41,199 Speaker 1: lead to reduce flow and an increased risk for a 342 00:18:41,320 --> 00:18:44,359 Speaker 1: stroke causing clot. Okay, well that makes sense. It's just 343 00:18:44,640 --> 00:18:48,920 Speaker 1: basically it's just business essentially. Yeah. Um, Now, while height 344 00:18:49,000 --> 00:18:52,760 Speaker 1: is associated with blood clots, a two thousand to study 345 00:18:52,840 --> 00:18:56,280 Speaker 1: looked at ten thousand Israeli civil servants and it found 346 00:18:56,560 --> 00:19:00,159 Speaker 1: that height was associated overall with stroke risk, not just 347 00:19:00,200 --> 00:19:04,560 Speaker 1: the blood clots, but just stroke risk overall. Being taller 348 00:19:04,680 --> 00:19:08,920 Speaker 1: was not good a Scandinavian study. The Scandinavians seem to 349 00:19:08,960 --> 00:19:11,200 Speaker 1: be looking into this a lot, probably because I mean, 350 00:19:11,400 --> 00:19:14,320 Speaker 1: we assume that they're taller than us. But they found 351 00:19:14,400 --> 00:19:17,840 Speaker 1: that taller people are two point five times more likely 352 00:19:17,880 --> 00:19:22,400 Speaker 1: to develop venus thrombo embolism, which this collectively covers both 353 00:19:22,560 --> 00:19:27,199 Speaker 1: deep van thrombosis and pulmonary embolisms. Now, in this study, 354 00:19:27,400 --> 00:19:31,080 Speaker 1: men over five eight were two point five seven times 355 00:19:31,160 --> 00:19:34,800 Speaker 1: more likely to develop recurrent blood clots. If they were 356 00:19:34,880 --> 00:19:37,680 Speaker 1: also over rate, that rose even more up to five 357 00:19:37,720 --> 00:19:42,239 Speaker 1: point to eight times. So okay, So again, looks like 358 00:19:42,280 --> 00:19:45,920 Speaker 1: we've got to put tall people on on the list 359 00:19:45,960 --> 00:19:48,720 Speaker 1: as being more likely to get blood clots and strokes. 360 00:19:49,160 --> 00:19:53,200 Speaker 1: Sounds like, okay, man, this isn't looking good for you, buddy. Alright, 361 00:19:53,240 --> 00:19:55,920 Speaker 1: what about your heart? How's your heart feeling? Pretty good? 362 00:19:55,960 --> 00:20:01,080 Speaker 1: Pretty good? I have heart problems, not like major stuff, 363 00:20:01,119 --> 00:20:03,600 Speaker 1: but like I had a mitro valve prolapse when I 364 00:20:03,640 --> 00:20:05,560 Speaker 1: was a kid, and it's like a thing that I 365 00:20:05,560 --> 00:20:07,480 Speaker 1: have to get checked up on four occasionally. Just means 366 00:20:07,480 --> 00:20:10,159 Speaker 1: like one of the valves flaps differently than than the 367 00:20:10,200 --> 00:20:13,560 Speaker 1: other three valves. But um, I don't know. Let's see, 368 00:20:13,640 --> 00:20:17,760 Speaker 1: let's roll the dice. All right, Tall people are less 369 00:20:17,800 --> 00:20:22,200 Speaker 1: likely to develop heart disease, all right. There, For every 370 00:20:22,280 --> 00:20:25,680 Speaker 1: two point five inches taller you are than someone else 371 00:20:25,720 --> 00:20:28,919 Speaker 1: of your same gender, your risk of heart disease actually 372 00:20:29,040 --> 00:20:33,080 Speaker 1: diminishes by four. So in the study that looked at this, 373 00:20:33,240 --> 00:20:37,600 Speaker 1: researchers actually measured the association between DNA variants and height 374 00:20:37,640 --> 00:20:40,119 Speaker 1: as well, so they weren't just like measuring people and 375 00:20:40,160 --> 00:20:43,080 Speaker 1: then looking at their medical histories. They're actually looking at 376 00:20:43,080 --> 00:20:45,919 Speaker 1: their DNA And what they found was that the association 377 00:20:45,920 --> 00:20:51,240 Speaker 1: between heart problems and height was actually small. But then 378 00:20:51,280 --> 00:20:54,320 Speaker 1: they combined it with the overall associations that they had 379 00:20:54,359 --> 00:20:58,119 Speaker 1: from other data, and they still found that genetically determined 380 00:20:58,119 --> 00:21:02,960 Speaker 1: height was at risk of coronary heart disease. So before this, 381 00:21:03,119 --> 00:21:06,680 Speaker 1: observational studies had basically suggested that there was a link 382 00:21:06,760 --> 00:21:10,680 Speaker 1: between shorter height and coronary heart disease. So this one's 383 00:21:10,680 --> 00:21:12,480 Speaker 1: a little confusing to me. I don't know, Maybe it 384 00:21:12,840 --> 00:21:15,640 Speaker 1: plays out in the end like it's kind of an equalizer. 385 00:21:16,280 --> 00:21:19,040 Speaker 1: But we got another study here that says a review 386 00:21:19,600 --> 00:21:22,000 Speaker 1: of fifty two separate studies, So this is one of 387 00:21:22,000 --> 00:21:24,879 Speaker 1: those meta studies, it found that of more than three 388 00:21:25,000 --> 00:21:28,879 Speaker 1: million people, the shorter ones had a fifty percent higher 389 00:21:29,000 --> 00:21:33,320 Speaker 1: risk of deadly heart disease than tall ones. And additionally, 390 00:21:33,400 --> 00:21:37,480 Speaker 1: the genes associated with being short also increases the risk 391 00:21:37,640 --> 00:21:42,040 Speaker 1: of having high L d L cholesterol levels. Okay, so 392 00:21:42,080 --> 00:21:44,080 Speaker 1: this isn't looking good for short people in terms of 393 00:21:44,160 --> 00:21:48,520 Speaker 1: heart stuff. And one more study related to this said 394 00:21:49,160 --> 00:21:51,880 Speaker 1: men who were taller than six one, so that's you, 395 00:21:52,760 --> 00:21:56,119 Speaker 1: had a thirty five percent lower risk of having a 396 00:21:56,160 --> 00:22:00,000 Speaker 1: heart attack than men who were shorter than five seven 397 00:22:00,000 --> 00:22:04,080 Speaker 1: And every inch a man gains subsequently results in a 398 00:22:04,160 --> 00:22:09,000 Speaker 1: two to three percent decrease in heart attack risk. That's interesting, 399 00:22:09,720 --> 00:22:11,520 Speaker 1: but there, as far as I could tell, there was 400 00:22:11,560 --> 00:22:14,600 Speaker 1: no like speculation as to why. Now this is another 401 00:22:14,600 --> 00:22:17,920 Speaker 1: one of those instances where I have to have to 402 00:22:17,920 --> 00:22:19,360 Speaker 1: to say that I feel like I have a warped 403 00:22:19,600 --> 00:22:24,240 Speaker 1: sense of percentages and and likelihood. You know, if scenarios 404 00:22:24,280 --> 00:22:28,119 Speaker 1: taking place based on rolling dice in D n D 405 00:22:28,440 --> 00:22:32,840 Speaker 1: and playing x com you have like a hit on 406 00:22:32,880 --> 00:22:35,600 Speaker 1: an alien and and you end up missing or even 407 00:22:35,600 --> 00:22:39,399 Speaker 1: like um like stuff like that, I feel like has 408 00:22:39,440 --> 00:22:42,160 Speaker 1: kind of warped my understanding of percentile. Well, what if 409 00:22:42,200 --> 00:22:45,000 Speaker 1: like in the in that situation, right, I mean, people 410 00:22:45,040 --> 00:22:47,080 Speaker 1: statisticians out there are going to be screaming at us. 411 00:22:47,119 --> 00:22:50,240 Speaker 1: But but in that situation, if you're playing the game 412 00:22:50,320 --> 00:22:52,920 Speaker 1: and the alien is at a high enough level that 413 00:22:53,040 --> 00:22:56,199 Speaker 1: even your cent isn't enough to allow you to hit it, 414 00:22:57,000 --> 00:22:59,919 Speaker 1: then subsequently, I mean, so if you apply this to hell, 415 00:23:00,080 --> 00:23:02,440 Speaker 1: then it's like if you have something like I put, 416 00:23:03,200 --> 00:23:09,359 Speaker 1: extremely dangerous form of coronary heart disease. Right, no matter 417 00:23:09,440 --> 00:23:11,639 Speaker 1: what your stats are, no matter how tall you are, 418 00:23:11,960 --> 00:23:14,119 Speaker 1: you're still going to roll with like a negative two. 419 00:23:14,640 --> 00:23:16,920 Speaker 1: This always reminds me of a quote from The Naked 420 00:23:16,960 --> 00:23:20,520 Speaker 1: Gun Leslie Nelson uh Flick. I'd like to think of 421 00:23:20,560 --> 00:23:23,040 Speaker 1: it as an O. J. Simpson movie. Okay, well, it's 422 00:23:23,080 --> 00:23:27,040 Speaker 1: about the the O. J. Simpson character Nordburg, where where 423 00:23:27,040 --> 00:23:29,520 Speaker 1: this character says, doctors say that Nordberg has a fifty 424 00:23:29,600 --> 00:23:33,080 Speaker 1: fifty chance of living, though there's only chance of that. 425 00:23:33,440 --> 00:23:36,720 Speaker 1: So I like the percentage upon percentage and ultimately making 426 00:23:36,760 --> 00:23:40,400 Speaker 1: it just completely nonsensical. Yeah, And I mean, like, no 427 00:23:40,960 --> 00:23:43,640 Speaker 1: disrespect to the people who are conducting these studies, but 428 00:23:43,720 --> 00:23:46,480 Speaker 1: when you see them all lumped together like we're doing here, 429 00:23:46,520 --> 00:23:49,720 Speaker 1: it kind of feels like that. It feels like, for instance, 430 00:23:49,720 --> 00:23:52,160 Speaker 1: like the heights are all over the place, the percentages 431 00:23:52,240 --> 00:23:55,640 Speaker 1: are there's a lot of shifting around here. And what 432 00:23:55,680 --> 00:23:59,040 Speaker 1: we're doing here today is clearly not academic in any 433 00:23:59,040 --> 00:24:01,240 Speaker 1: sense of the term. You know, we're not using any 434 00:24:01,320 --> 00:24:04,119 Speaker 1: like statistical models to try to put all these together. 435 00:24:04,160 --> 00:24:08,280 Speaker 1: We're just basically using fast and loose D and D rules. Right, yeah, well, 436 00:24:08,320 --> 00:24:11,560 Speaker 1: we're we're not trying to make an actual um argument 437 00:24:11,600 --> 00:24:14,240 Speaker 1: for you know, a tall person or shorter shorter persons 438 00:24:14,320 --> 00:24:19,280 Speaker 1: of chances of of survival, but ready providing an overview 439 00:24:19,320 --> 00:24:21,240 Speaker 1: of what some of the studies we're saying. But so far, 440 00:24:21,440 --> 00:24:25,720 Speaker 1: let's recap. So, Robert's more likely to get cancer taller people. 441 00:24:26,200 --> 00:24:29,439 Speaker 1: Taller people are more likely to have strokes and clots. 442 00:24:29,440 --> 00:24:33,119 Speaker 1: Shorter people are more likely to have heart disease. What 443 00:24:33,200 --> 00:24:35,760 Speaker 1: about your lungs? Now, this was the study that got 444 00:24:35,840 --> 00:24:38,840 Speaker 1: us on this track. So, according to a twenty fifteen 445 00:24:38,920 --> 00:24:44,280 Speaker 1: study that was presented at the American Thoracic Society International Conference, 446 00:24:44,880 --> 00:24:49,959 Speaker 1: lung transplant candidates who are about five three or shorter 447 00:24:50,440 --> 00:24:53,680 Speaker 1: have to actually wait a longer time for their transplants 448 00:24:53,680 --> 00:24:57,800 Speaker 1: than taller candidates, and they're more likely to die within 449 00:24:57,880 --> 00:25:01,159 Speaker 1: a year of waiting for such trans plants. So this 450 00:25:01,240 --> 00:25:04,959 Speaker 1: is interesting. I have to assume that it's because of 451 00:25:05,080 --> 00:25:08,119 Speaker 1: size availability. Yeah, I mean it. This reminds us of 452 00:25:08,119 --> 00:25:10,280 Speaker 1: something that came up in our Cyborg one of our 453 00:25:10,320 --> 00:25:14,679 Speaker 1: Cyborg episodes, just talking about the size of artificial hearts, 454 00:25:14,720 --> 00:25:17,840 Speaker 1: I believe, and how initially they did not have like 455 00:25:17,880 --> 00:25:21,520 Speaker 1: they were sized for adult men, and therefore if someone 456 00:25:21,600 --> 00:25:24,760 Speaker 1: was like a smaller female or individual, just like someone 457 00:25:24,840 --> 00:25:28,560 Speaker 1: smaller than what was the ideal male size, they wouldn't fit. Yeah, 458 00:25:28,840 --> 00:25:31,600 Speaker 1: so I imagine it lines up with that. Uh. Yeah. 459 00:25:31,640 --> 00:25:34,679 Speaker 1: So they basically found that shorter adults are more likely 460 00:25:34,720 --> 00:25:38,600 Speaker 1: to be placed on mechanical ventilation and the median height 461 00:25:38,680 --> 00:25:41,680 Speaker 1: that they used was a hundred and seventies centimeters or 462 00:25:41,720 --> 00:25:45,199 Speaker 1: about five point six feet. They used a median b 463 00:25:45,520 --> 00:25:49,520 Speaker 1: m I of twenty five point four, which I don't 464 00:25:49,520 --> 00:25:51,199 Speaker 1: really know the b m I is very well, but 465 00:25:51,320 --> 00:25:53,080 Speaker 1: I looked it up on a chart and that actually 466 00:25:53,160 --> 00:25:57,800 Speaker 1: qualifies as overweight. Uh. Most of their participants were white 467 00:25:57,800 --> 00:26:00,639 Speaker 1: and male. That's important to remember as well too. So 468 00:26:00,840 --> 00:26:05,440 Speaker 1: all right, lungs sounds like shorter people are worse off brains. 469 00:26:05,760 --> 00:26:07,960 Speaker 1: What about your brains? This is a big one because 470 00:26:07,960 --> 00:26:10,240 Speaker 1: it's you know, if everything else is working, that's great, 471 00:26:10,320 --> 00:26:14,040 Speaker 1: but if the brain is not functioning properly as well, then, uh, 472 00:26:14,080 --> 00:26:16,040 Speaker 1: you know what's the point, right, Well, it turns out 473 00:26:16,080 --> 00:26:20,200 Speaker 1: that women who are five seven or taller are fifty 474 00:26:20,240 --> 00:26:24,719 Speaker 1: percent less likely to die from dementia than women who 475 00:26:24,760 --> 00:26:28,440 Speaker 1: are five one or shorter, and this has been attributed 476 00:26:28,480 --> 00:26:34,320 Speaker 1: to factors that contribute to smaller stature again, childhood illness, stress, 477 00:26:34,480 --> 00:26:37,360 Speaker 1: and poor nutrition. So what I'm getting out of this 478 00:26:37,440 --> 00:26:41,320 Speaker 1: is like, height isn't necessarily all that important, but like, 479 00:26:41,600 --> 00:26:43,840 Speaker 1: if you're a parent, it's pretty important that you make 480 00:26:43,880 --> 00:26:46,600 Speaker 1: sure your kids eating well and if they're sick, you're 481 00:26:46,600 --> 00:26:50,640 Speaker 1: taking care of them. Right. Um. Men, however, who are 482 00:26:50,680 --> 00:26:54,520 Speaker 1: taller than five ten, they had a fifty nine percent 483 00:26:54,680 --> 00:26:58,480 Speaker 1: lower risk of developing Alzheimer's disease than men who are 484 00:26:58,520 --> 00:27:02,040 Speaker 1: shorter than five six. So okay, So what we're seeing 485 00:27:02,119 --> 00:27:07,480 Speaker 1: here is that dementia, especially Alzheimer's disease, seems to be 486 00:27:07,640 --> 00:27:11,320 Speaker 1: more likely to show up in shorter people. So that's 487 00:27:11,400 --> 00:27:15,720 Speaker 1: me again, So I'm more likely to lose my mind 488 00:27:17,400 --> 00:27:20,119 Speaker 1: than you are. Which sounds about right. I mean, just 489 00:27:20,160 --> 00:27:23,720 Speaker 1: based on our daily you know, interactions, and and how 490 00:27:23,920 --> 00:27:26,760 Speaker 1: how with it? I am already at age forty. Well, 491 00:27:26,800 --> 00:27:29,240 Speaker 1: I feel like on this show, especially, madness is always 492 00:27:29,240 --> 00:27:31,919 Speaker 1: a risk. This is very true, and we knew what 493 00:27:32,000 --> 00:27:34,080 Speaker 1: we were getting into when we signed up for it. 494 00:27:34,840 --> 00:27:38,640 Speaker 1: What about diabetes, This one didn't even cross my mind. Yeah, 495 00:27:38,760 --> 00:27:39,960 Speaker 1: but of course this is a big one. This is 496 00:27:40,000 --> 00:27:42,200 Speaker 1: one of This is one of the big killers today. 497 00:27:42,280 --> 00:27:46,160 Speaker 1: This is a primary health concern. So type two diabetes, 498 00:27:46,240 --> 00:27:48,600 Speaker 1: most of us know, is linked to weight, but they 499 00:27:48,640 --> 00:27:51,600 Speaker 1: think that type one may actually be linked to height. 500 00:27:52,040 --> 00:27:55,040 Speaker 1: And the cause of type one is still unknown, but 501 00:27:55,359 --> 00:27:58,520 Speaker 1: it's thought to be related to an autoimmune attack on 502 00:27:58,560 --> 00:28:02,359 Speaker 1: the insulin producing cell of our pancreas. Now, a two 503 00:28:02,400 --> 00:28:04,960 Speaker 1: thousand to study that was published in the Journal of 504 00:28:05,040 --> 00:28:11,480 Speaker 1: Pediatrics found that taller children generally experience an increased risk 505 00:28:11,600 --> 00:28:16,960 Speaker 1: for the development of type one diabetes, except during infancy 506 00:28:17,119 --> 00:28:21,200 Speaker 1: or early adolescence. But then there's been other studies that 507 00:28:21,280 --> 00:28:24,680 Speaker 1: contradict this. Right, So, uh, there's another one that suggests 508 00:28:24,680 --> 00:28:28,040 Speaker 1: that children with diabetes are either all similar in height 509 00:28:28,240 --> 00:28:31,480 Speaker 1: or shorter than their non diabetic peers. So this one 510 00:28:31,520 --> 00:28:34,560 Speaker 1: seems to balance out, and that like, the studies don't 511 00:28:34,600 --> 00:28:37,560 Speaker 1: seem to uh come to a conclusion one way or 512 00:28:37,640 --> 00:28:39,520 Speaker 1: the other. So I think we can just like, we 513 00:28:39,560 --> 00:28:42,280 Speaker 1: can file this under null for now. I don't know 514 00:28:42,360 --> 00:28:46,240 Speaker 1: necessarily that you're more likely to get Type one diabetes 515 00:28:46,280 --> 00:28:49,400 Speaker 1: than I am, just based on height. Now, there's two 516 00:28:49,840 --> 00:28:52,640 Speaker 1: smaller ones here that I added at the end. The 517 00:28:52,760 --> 00:28:58,360 Speaker 1: first is about reproduction women who are taller, and again 518 00:28:58,520 --> 00:29:01,400 Speaker 1: totally like, I don't know why they picked these numbers, 519 00:29:01,400 --> 00:29:04,360 Speaker 1: but they chose five six for women who are taller. 520 00:29:05,040 --> 00:29:09,160 Speaker 1: Those women are less likely to develop gestational diabetes than 521 00:29:09,200 --> 00:29:13,160 Speaker 1: those who are shorter at five two or shorter. This 522 00:29:13,240 --> 00:29:16,560 Speaker 1: is speculated to be because the genes that are related 523 00:29:16,600 --> 00:29:20,080 Speaker 1: to height have an effect on their glue close tolerance. 524 00:29:21,320 --> 00:29:24,400 Speaker 1: Also a study in Thailand, which I don't know why. 525 00:29:24,400 --> 00:29:26,360 Speaker 1: I look my parents lived in Thailand for a while, 526 00:29:26,360 --> 00:29:29,080 Speaker 1: but anytime I hear a study in Thailand, I'm immediately like, 527 00:29:29,840 --> 00:29:32,840 Speaker 1: I don't know. A study in Thailand found that being 528 00:29:33,000 --> 00:29:37,040 Speaker 1: five one or taller reduces your risk of having to 529 00:29:37,080 --> 00:29:41,120 Speaker 1: have a C section. That seems to make sense to me. Well, 530 00:29:41,320 --> 00:29:44,480 Speaker 1: this one is interesting in terms of of what a 531 00:29:44,480 --> 00:29:46,719 Speaker 1: lot of the data said about about c sections over 532 00:29:46,760 --> 00:29:48,840 Speaker 1: the years, and they're they're those who argue that a 533 00:29:48,880 --> 00:29:52,000 Speaker 1: lot of times, I mean, c section is a is 534 00:29:52,040 --> 00:29:54,240 Speaker 1: a topic onto itself that we could we could easily 535 00:29:54,240 --> 00:29:55,960 Speaker 1: devote a whole episode two. But there are those who 536 00:29:55,960 --> 00:29:58,240 Speaker 1: make the charge that the decision to go the C 537 00:29:58,440 --> 00:30:03,560 Speaker 1: section is is times related to the culture of the hospital, 538 00:30:03,640 --> 00:30:06,760 Speaker 1: the cultural the culture of the medical profession. So I 539 00:30:06,800 --> 00:30:09,040 Speaker 1: can't help but wonder, like, when this comes up to 540 00:30:09,040 --> 00:30:13,480 Speaker 1: to what extent would this translate into an American hospital scenario, 541 00:30:14,200 --> 00:30:18,160 Speaker 1: say a Chinese hospital scenario, into uh, you know, areas 542 00:30:18,160 --> 00:30:21,360 Speaker 1: where there's more traditional child birth outside of a hospital, 543 00:30:22,040 --> 00:30:25,719 Speaker 1: et cetera. Huh, yeah, that's interesting. But I guess like, 544 00:30:25,760 --> 00:30:27,720 Speaker 1: if we take the two of these and we taly 545 00:30:27,800 --> 00:30:32,600 Speaker 1: them up, we can essentially say shorter people, by this metric, 546 00:30:33,200 --> 00:30:36,400 Speaker 1: are more likely to have reproductive problems. So I'm more 547 00:30:36,440 --> 00:30:39,280 Speaker 1: likely to have reproductive problems than you are, although neither 548 00:30:39,320 --> 00:30:42,320 Speaker 1: of us are women. But hey, you know, I could 549 00:30:42,320 --> 00:30:46,280 Speaker 1: play out in other male reproductive type problems. Last one, 550 00:30:46,960 --> 00:30:50,560 Speaker 1: this one makes total sense once I read it heat exhaustion. 551 00:30:51,080 --> 00:30:54,560 Speaker 1: So apparently the larger a person is, the more their 552 00:30:54,640 --> 00:30:58,400 Speaker 1: body has the ability to get hot because the surface 553 00:30:58,440 --> 00:31:02,800 Speaker 1: of their skin dissipates heat at a slower rate. Okay, yeah, 554 00:31:02,880 --> 00:31:04,959 Speaker 1: this is This is actually something that comes up in 555 00:31:05,360 --> 00:31:07,680 Speaker 1: the episode of the Joe and I did about human size, 556 00:31:07,720 --> 00:31:10,120 Speaker 1: because we get into the idea of like giant humans 557 00:31:10,520 --> 00:31:13,280 Speaker 1: and some of the problems with with heat that occur 558 00:31:13,440 --> 00:31:17,760 Speaker 1: when you start just proportionally building up a you know, 559 00:31:17,880 --> 00:31:21,320 Speaker 1: an organism spody. Yeah, you know this. I can't remember 560 00:31:21,360 --> 00:31:23,720 Speaker 1: when we did our episode on the science of ant man. 561 00:31:23,840 --> 00:31:26,280 Speaker 1: I don't think that came up, but that would be 562 00:31:26,320 --> 00:31:29,120 Speaker 1: an interesting thing to think about, Like when he's super tiny, 563 00:31:29,160 --> 00:31:31,720 Speaker 1: how much heat is he dissipating, versus when he blows 564 00:31:31,800 --> 00:31:34,000 Speaker 1: up to super big and he picks up an airplane 565 00:31:34,040 --> 00:31:37,719 Speaker 1: or whatever. So the idea here then is that larger 566 00:31:37,760 --> 00:31:40,320 Speaker 1: people are going to dissipate heat at a slower rate, 567 00:31:40,360 --> 00:31:43,040 Speaker 1: so they're more likely to get heat exhaustion, where shorter 568 00:31:43,160 --> 00:31:46,560 Speaker 1: people are able to lose heat more readily, so they're 569 00:31:46,640 --> 00:31:49,840 Speaker 1: less likely to get heat exhaustion. I've never thought about 570 00:31:49,880 --> 00:31:52,680 Speaker 1: that before, but I guess that's another one in my column. 571 00:31:52,760 --> 00:31:55,000 Speaker 1: So you are more likely to get exhausted in the 572 00:31:55,040 --> 00:31:57,280 Speaker 1: heat than I am. Like if you and I crash 573 00:31:57,360 --> 00:31:59,880 Speaker 1: landed in the desert somewhere and there's no water and 574 00:32:00,040 --> 00:32:02,040 Speaker 1: we were just walking for days. You're going to be 575 00:32:02,120 --> 00:32:05,640 Speaker 1: the one to drop before I'm gonna depend on you 576 00:32:05,680 --> 00:32:08,240 Speaker 1: to rebuild our airplane and fly us out of the 577 00:32:08,240 --> 00:32:10,560 Speaker 1: desert flight of the Phoenix stuff and totally do that. 578 00:32:11,120 --> 00:32:14,400 Speaker 1: All right, This is basically our rundown. This is our 579 00:32:14,480 --> 00:32:16,640 Speaker 1: rundown of physical stuff. Though, why don't we take a 580 00:32:16,640 --> 00:32:19,720 Speaker 1: break when we come back, We're gonna get into personality 581 00:32:19,800 --> 00:32:28,600 Speaker 1: and mental attributes. Thank alright, we're back. So, yeah, we 582 00:32:28,600 --> 00:32:31,800 Speaker 1: we've looked at some of the basic health studies out 583 00:32:31,840 --> 00:32:35,040 Speaker 1: there about the human height and where it where, where 584 00:32:35,040 --> 00:32:38,520 Speaker 1: it falls on the healthy less healthy scenario, your likelihood 585 00:32:38,520 --> 00:32:43,080 Speaker 1: for various diseases and whatnot. But yeah, what about human 586 00:32:43,120 --> 00:32:47,560 Speaker 1: height and personality and psychology. So height is a primal 587 00:32:47,640 --> 00:32:53,760 Speaker 1: survival signifier. It addresses physical strength, reach, health, and good nutrition. 588 00:32:54,120 --> 00:32:56,440 Speaker 1: And for this reason, it's not surprising the humans have 589 00:32:56,560 --> 00:32:59,640 Speaker 1: some natural tendencies when it comes to our our psychological 590 00:32:59,680 --> 00:33:02,959 Speaker 1: relates ship with human height. But this is this is 591 00:33:03,040 --> 00:33:07,760 Speaker 1: one of the problems too, because it's very well, we 592 00:33:07,760 --> 00:33:11,120 Speaker 1: don't want to reduce our her views of other humans 593 00:33:11,160 --> 00:33:14,120 Speaker 1: and our own like social scenarios to just oh, who's 594 00:33:14,120 --> 00:33:16,080 Speaker 1: the biggest person in this room all right there in 595 00:33:16,160 --> 00:33:21,440 Speaker 1: charge because they're the tallest, like like obviously, while those 596 00:33:21,600 --> 00:33:24,720 Speaker 1: factors might influence us, you know in the sort of 597 00:33:24,760 --> 00:33:27,480 Speaker 1: sort of in the background at the the rat like 598 00:33:27,600 --> 00:33:31,560 Speaker 1: high brain level, um, there's a lot more going on 599 00:33:32,080 --> 00:33:35,720 Speaker 1: with human personalities, uh, with with with just how we 600 00:33:35,760 --> 00:33:39,080 Speaker 1: interact with people. Sometimes the largest person in the room 601 00:33:39,160 --> 00:33:42,200 Speaker 1: need not be the person with the largest stature, you know, 602 00:33:43,040 --> 00:33:45,440 Speaker 1: it's sometimes just the person with the most personality or 603 00:33:45,480 --> 00:33:49,600 Speaker 1: the most you know, symmetrical features um, or the nicest 604 00:33:49,640 --> 00:33:54,120 Speaker 1: clothes that or you know, they have a reputation. There's 605 00:33:54,160 --> 00:33:57,480 Speaker 1: there's so much more going on with with how we 606 00:33:57,520 --> 00:34:01,440 Speaker 1: perceive other humans than just how tall are they. Yeah, 607 00:34:01,480 --> 00:34:05,360 Speaker 1: that's certainly true. Although I've definitely encountered in like my 608 00:34:06,680 --> 00:34:11,080 Speaker 1: business life. I guess that like the the stereotype of 609 00:34:11,120 --> 00:34:16,759 Speaker 1: like the tall guy assuming leadership or or assuming confidence 610 00:34:16,760 --> 00:34:20,200 Speaker 1: in a group. Yeah, I guess I haven't had a 611 00:34:20,200 --> 00:34:23,160 Speaker 1: lot of not you. Yeah, I mean I have not 612 00:34:23,360 --> 00:34:29,120 Speaker 1: assumed leadership here um, and neither has has easy our 613 00:34:28,840 --> 00:34:33,880 Speaker 1: our our tech expert um. So I don't know, I 614 00:34:34,520 --> 00:34:36,560 Speaker 1: don't know that it has to do with particular business 615 00:34:36,640 --> 00:34:40,880 Speaker 1: cultures or yeah, or maybe when you get an m 616 00:34:40,920 --> 00:34:42,839 Speaker 1: b A they put you on a rack and they 617 00:34:42,920 --> 00:34:45,320 Speaker 1: stretch you out, or is it one of these things 618 00:34:45,400 --> 00:34:49,520 Speaker 1: where a tall person gets promoted. It's kind of it's 619 00:34:49,600 --> 00:34:52,760 Speaker 1: like an attractive person getting promoted saying, oh, well, clearly 620 00:34:52,800 --> 00:34:55,520 Speaker 1: it's because they're so handsome, or clearly it's because she's 621 00:34:55,560 --> 00:34:58,799 Speaker 1: just really tall like you. There's a gut instinct to 622 00:34:59,000 --> 00:35:01,440 Speaker 1: reduce it to some thing that has nothing to do 623 00:35:01,480 --> 00:35:04,239 Speaker 1: with marin rather than actually, yeah exactly, rather than like 624 00:35:04,760 --> 00:35:09,000 Speaker 1: analyze your own like strengths and weaknesses in terms of meritocracy. Yeah. 625 00:35:09,200 --> 00:35:11,880 Speaker 1: That being said, there have been times where I have, like, 626 00:35:11,960 --> 00:35:14,000 Speaker 1: I'll have self doubt creeping in and I'll be like, 627 00:35:14,040 --> 00:35:16,640 Speaker 1: oh man, what if I've only gotten this foreign life 628 00:35:16,680 --> 00:35:19,360 Speaker 1: just because I'm a little bit tall, and if and 629 00:35:19,400 --> 00:35:21,520 Speaker 1: if I was just a little shorter, I would just 630 00:35:21,600 --> 00:35:23,640 Speaker 1: I would have fallen into the gutter years ago. No, 631 00:35:24,000 --> 00:35:27,120 Speaker 1: that's not true. But still you end up thinking about 632 00:35:27,120 --> 00:35:30,080 Speaker 1: these things when you start crunching some of these uh 633 00:35:30,400 --> 00:35:33,120 Speaker 1: at times very general studies. Yeah, yeah, no, I can 634 00:35:33,239 --> 00:35:36,239 Speaker 1: understand that I have this experience where I go to 635 00:35:36,360 --> 00:35:38,160 Speaker 1: shows a lot, or at least I used to. I 636 00:35:38,160 --> 00:35:40,560 Speaker 1: don't go as much as I as I used to go, 637 00:35:41,080 --> 00:35:44,319 Speaker 1: but I would often find myself watching a band, and 638 00:35:44,360 --> 00:35:46,640 Speaker 1: then I would if I would get bored with the band, 639 00:35:46,719 --> 00:35:48,920 Speaker 1: I would sort of pull out and pay more attention 640 00:35:48,960 --> 00:35:53,160 Speaker 1: to the audience and start thinking how tall am I 641 00:35:53,360 --> 00:35:57,640 Speaker 1: in comparison to everybody else in this room? And you know, like, 642 00:35:57,840 --> 00:36:00,080 Speaker 1: what's the sort of average height of fans of this 643 00:36:00,200 --> 00:36:03,720 Speaker 1: particular music or something like that, you know, and I'm 644 00:36:03,719 --> 00:36:07,200 Speaker 1: always somewhere in the middle. You know, they like five, 645 00:36:07,560 --> 00:36:10,279 Speaker 1: that's nothing special. Like in fact, when you looked at 646 00:36:10,440 --> 00:36:12,920 Speaker 1: h when we looked at these studies earlier, of like 647 00:36:12,960 --> 00:36:17,280 Speaker 1: all the various organs, like that height was neither really 648 00:36:17,320 --> 00:36:20,040 Speaker 1: listed as being the tall height or the short height. 649 00:36:20,080 --> 00:36:22,759 Speaker 1: It was always somewhere in between. So maybe I'm just 650 00:36:22,800 --> 00:36:27,880 Speaker 1: more likely to get everything. So speaking of getting things, 651 00:36:28,000 --> 00:36:30,600 Speaker 1: one of the classic tropes, right, is that the that 652 00:36:30,719 --> 00:36:33,360 Speaker 1: the tall guy gets the girl, where the tall girl 653 00:36:33,440 --> 00:36:36,480 Speaker 1: gets the guy or whatever your sort of heteronormative scenario 654 00:36:36,680 --> 00:36:40,600 Speaker 1: is kind of that whole. Uh, the cartoon scenario of 655 00:36:40,680 --> 00:36:43,800 Speaker 1: the the nerd on the beach with the with the lady, 656 00:36:43,880 --> 00:36:45,839 Speaker 1: and then here comes the big, tall, muscle bound dude 657 00:36:45,840 --> 00:36:47,880 Speaker 1: and you kick sand on him and ls off with 658 00:36:47,880 --> 00:36:53,040 Speaker 1: the gal flex Mentalo. Yeah, well there was there that 659 00:36:53,320 --> 00:36:55,120 Speaker 1: I did find a study that that touches on This 660 00:36:55,600 --> 00:36:59,880 Speaker 1: two thousand sixteen University of Edinburgh study published in Genome Biology, 661 00:37:00,239 --> 00:37:02,799 Speaker 1: and they conducted an analysis of the genotype of more 662 00:37:02,840 --> 00:37:06,839 Speaker 1: than thirteen thousand human heterosexual couples, and they found that 663 00:37:06,960 --> 00:37:10,120 Speaker 1: genes that determine your height also influence your choice of 664 00:37:10,239 --> 00:37:12,759 Speaker 1: mate by height. So, simply put, our genes can be 665 00:37:12,800 --> 00:37:15,400 Speaker 1: used to predict the height of our partner. Now there 666 00:37:15,400 --> 00:37:17,600 Speaker 1: are plenty of exceptions here, of course, and we can 667 00:37:17,600 --> 00:37:20,120 Speaker 1: all we all know couples where where you know one 668 00:37:20,160 --> 00:37:25,160 Speaker 1: significant other is uh is is tall, the other ones short. Um. 669 00:37:25,280 --> 00:37:28,200 Speaker 1: But this, this, this paper is making an argument that 670 00:37:29,040 --> 00:37:32,640 Speaker 1: we do tend to gravitate towards people who are similar 671 00:37:32,880 --> 00:37:37,400 Speaker 1: in their morphology. Okay, again from personal experience, this absolutely 672 00:37:37,440 --> 00:37:41,640 Speaker 1: aligns up with just like my subjective experience with other 673 00:37:41,680 --> 00:37:43,960 Speaker 1: people talking to them about who they're dating or why 674 00:37:43,960 --> 00:37:46,440 Speaker 1: they're dating. I know plenty of people who are tall 675 00:37:46,640 --> 00:37:48,680 Speaker 1: and say like, oh, there's no way that I could 676 00:37:48,800 --> 00:37:52,319 Speaker 1: date her. It just wouldn't work out. Or I know 677 00:37:52,400 --> 00:37:54,840 Speaker 1: tall women who have said the same thing, like like 678 00:37:54,960 --> 00:37:57,400 Speaker 1: he's nice and all, but just like there's such a 679 00:37:57,440 --> 00:37:59,760 Speaker 1: disparity between the two of us. I just can't imagine 680 00:37:59,800 --> 00:38:03,960 Speaker 1: just physical height. Yeah, yeah, that's like like an immediate 681 00:38:04,080 --> 00:38:07,560 Speaker 1: like I imagine like, uh, you and I are totally 682 00:38:07,600 --> 00:38:09,200 Speaker 1: off the market in terms of this kind of thing. 683 00:38:09,200 --> 00:38:11,439 Speaker 1: But when you use like Tinder or something like that, 684 00:38:11,520 --> 00:38:14,359 Speaker 1: like I assume height is part of the like statistics 685 00:38:14,360 --> 00:38:16,960 Speaker 1: that you have to report. So I hadn't even thought 686 00:38:16,960 --> 00:38:18,680 Speaker 1: of that, because certainly a head shot you're not gonna 687 00:38:18,680 --> 00:38:20,680 Speaker 1: be able to tell. Most photos you're probably not going 688 00:38:20,719 --> 00:38:22,440 Speaker 1: to tell. To be able to tell, we'll have to 689 00:38:22,480 --> 00:38:25,000 Speaker 1: ask somebody in the office who uses Tinder or grinder 690 00:38:25,080 --> 00:38:28,200 Speaker 1: or something like that. But I would assume that it 691 00:38:28,200 --> 00:38:30,360 Speaker 1: would have height and weight included in there. Well, this 692 00:38:30,400 --> 00:38:32,000 Speaker 1: is an area I'd love to hear from listeners on 693 00:38:32,040 --> 00:38:35,120 Speaker 1: two total experience with this, especially as it plays out 694 00:38:35,160 --> 00:38:38,720 Speaker 1: in the modern you know, dating scenario. But some people 695 00:38:38,719 --> 00:38:41,880 Speaker 1: would be like whoa, that person's five to nope swipe, 696 00:38:42,040 --> 00:38:44,520 Speaker 1: or or oh that person is like only an inch 697 00:38:44,600 --> 00:38:47,120 Speaker 1: taller than me, or some people like to have somebody 698 00:38:47,160 --> 00:38:49,680 Speaker 1: who's taller than them but only a little taller than them. 699 00:38:49,760 --> 00:38:51,319 Speaker 1: Do you think they're taggling room? Do you think they're 700 00:38:51,360 --> 00:38:53,480 Speaker 1: like five tens a bit much? If you can bring 701 00:38:53,480 --> 00:38:55,840 Speaker 1: it down to five eight, then we'll give it a shot. 702 00:38:55,880 --> 00:38:58,800 Speaker 1: Here's what I really think, And this is going to 703 00:38:58,880 --> 00:39:01,880 Speaker 1: reveal a lot more about me and not about the study. 704 00:39:02,160 --> 00:39:06,000 Speaker 1: But I have had lots of friends who have gotten 705 00:39:06,000 --> 00:39:09,480 Speaker 1: excited about the prospect of hooking up with somebody who's 706 00:39:09,520 --> 00:39:13,360 Speaker 1: either significantly shorter than them or significantly taller than them, 707 00:39:13,400 --> 00:39:16,640 Speaker 1: but not having a relationship with that person. So the 708 00:39:16,680 --> 00:39:20,160 Speaker 1: idea of the experience is okay. But when they're actually 709 00:39:20,200 --> 00:39:25,000 Speaker 1: like searching around for a partner, they're more likely to 710 00:39:25,080 --> 00:39:28,239 Speaker 1: have this scenario of like, you know, figuring out the 711 00:39:28,680 --> 00:39:30,560 Speaker 1: sort of math of like how they're going to line 712 00:39:30,640 --> 00:39:32,839 Speaker 1: up against one. So it's one thing to have this 713 00:39:32,920 --> 00:39:36,000 Speaker 1: fantasy in mind, but it's another thing to to have 714 00:39:36,080 --> 00:39:38,160 Speaker 1: to think, well, where, what where would we put things 715 00:39:38,200 --> 00:39:42,040 Speaker 1: on shelves and how would that work out? Yeah, now, 716 00:39:42,080 --> 00:39:44,719 Speaker 1: earlier you touched on the income height scenario, and there 717 00:39:44,800 --> 00:39:47,200 Speaker 1: is a highly sited two thousand four study even the 718 00:39:47,280 --> 00:39:51,480 Speaker 1: Journal of Applied Psychology by Timothy a judge and Daniel M. Cable, 719 00:39:51,800 --> 00:39:55,080 Speaker 1: and they did an investigation of the correlation between height 720 00:39:55,120 --> 00:39:58,520 Speaker 1: and success. So quote, the findings suggests that someone who 721 00:39:58,600 --> 00:40:02,160 Speaker 1: is six ft tall earns that average nearly sixty six 722 00:40:02,200 --> 00:40:04,479 Speaker 1: thousand more during a thirty year career than someone who's 723 00:40:04,560 --> 00:40:07,600 Speaker 1: five ft five inches, even when controlling for gender, age, 724 00:40:07,640 --> 00:40:13,160 Speaker 1: and weight. So that's an interesting observation. Uh, but again 725 00:40:13,160 --> 00:40:16,760 Speaker 1: it's kind of problematic. I feel you start actually teasing 726 00:40:16,760 --> 00:40:20,359 Speaker 1: it apart. Uh, Is it really a situation where even 727 00:40:20,440 --> 00:40:23,080 Speaker 1: in the background of cognition, someone's thinking, oh, that's a 728 00:40:23,080 --> 00:40:25,480 Speaker 1: tall one. Make sure we give them a raise because 729 00:40:25,480 --> 00:40:28,120 Speaker 1: they can crush me with their giant hands. I don't 730 00:40:28,120 --> 00:40:30,600 Speaker 1: know if it's that so much as that going back 731 00:40:30,640 --> 00:40:33,000 Speaker 1: to that, uh, that idea that we sort of started 732 00:40:33,040 --> 00:40:35,760 Speaker 1: off the episode with, which is like, well, tall people 733 00:40:36,480 --> 00:40:40,560 Speaker 1: must come from at least middle class families because they 734 00:40:40,600 --> 00:40:43,400 Speaker 1: were able to be raised with a nutritious environment and 735 00:40:43,440 --> 00:40:45,960 Speaker 1: they didn't have disease to which got them to this 736 00:40:46,040 --> 00:40:49,759 Speaker 1: point in life. Subsequently, they must have a history that's 737 00:40:49,840 --> 00:40:53,080 Speaker 1: led them to be responsible enough to get a promotion 738 00:40:53,200 --> 00:40:55,800 Speaker 1: or something like. I guess it would be more likely 739 00:40:56,040 --> 00:40:58,719 Speaker 1: to be that, but even that seems absurd when I 740 00:40:58,760 --> 00:41:01,640 Speaker 1: think about it out loud. Yeah, speaking of things that 741 00:41:01,680 --> 00:41:04,280 Speaker 1: sound a bit absurd. Uh. There's also a two thousand 742 00:41:04,400 --> 00:41:08,280 Speaker 1: sixteen study out of Ohio State University that argues, based 743 00:41:08,280 --> 00:41:11,879 Speaker 1: on British data, that the taller person is, the more 744 00:41:12,040 --> 00:41:15,719 Speaker 1: likely he or she is to support conservative political positions, 745 00:41:16,120 --> 00:41:20,600 Speaker 1: support a conservative party, and and actually vote for conservative politicians. 746 00:41:20,880 --> 00:41:23,600 Speaker 1: They found that a one inch increase in high increased 747 00:41:23,640 --> 00:41:28,240 Speaker 1: support for the Conservative Party of Written by point six percent, 748 00:41:28,280 --> 00:41:31,160 Speaker 1: and the likelihood of voting for the party by point five. 749 00:41:32,160 --> 00:41:35,400 Speaker 1: That one strikes me as very odd. I can't see 750 00:41:35,440 --> 00:41:41,200 Speaker 1: any correlation. Yeah, I wonder, well, this is British data. 751 00:41:41,360 --> 00:41:44,399 Speaker 1: I wonder if the heighth factor has anything to do 752 00:41:44,560 --> 00:41:49,080 Speaker 1: with aristocracy and certain family lines. I guess. I mean 753 00:41:49,080 --> 00:41:51,080 Speaker 1: you're getting back to that that idea that al right, 754 00:41:51,120 --> 00:41:53,560 Speaker 1: if someone is tall, that means they've had good nutrition, 755 00:41:53,960 --> 00:41:57,879 Speaker 1: good good genetics, and access to healthcare. But that's not 756 00:41:58,080 --> 00:42:00,879 Speaker 1: always the case. And then and then it's not like 757 00:42:00,960 --> 00:42:07,640 Speaker 1: they're not like tall liberal academics and and and tall 758 00:42:05,840 --> 00:42:12,160 Speaker 1: pretty leaning. Yeah, I think so. Yeah. Yeah, So this 759 00:42:12,200 --> 00:42:14,240 Speaker 1: one is it's hard for me to to really break 760 00:42:14,239 --> 00:42:16,799 Speaker 1: down and I feel like I end up thinking of 761 00:42:16,880 --> 00:42:19,239 Speaker 1: individuals in my life and all right, well, here's a 762 00:42:19,280 --> 00:42:21,759 Speaker 1: tall person, how did their politics line up with my 763 00:42:21,880 --> 00:42:26,640 Speaker 1: with my politics? Uh, this one feels weird. I'm having 764 00:42:26,640 --> 00:42:29,919 Speaker 1: a hard time really breaking this one down in terms 765 00:42:29,960 --> 00:42:34,000 Speaker 1: of just sort of interpersonal connections. Yeah. Yeah, that one, 766 00:42:34,360 --> 00:42:38,160 Speaker 1: I don't know. We have we have more, yes, right? So? Yeah? 767 00:42:38,160 --> 00:42:39,680 Speaker 1: And the in fact, the next one is awesome from 768 00:42:39,719 --> 00:42:43,360 Speaker 1: Ohio State two thousands sixteen study as well. They found 769 00:42:43,360 --> 00:42:46,080 Speaker 1: that tall people have built in advantage when it comes 770 00:42:46,120 --> 00:42:50,279 Speaker 1: to spatial relations. Uh, and that visual superiority holds true 771 00:42:50,280 --> 00:42:53,239 Speaker 1: even when tall people sit down and their shorter counterparts 772 00:42:53,239 --> 00:42:57,920 Speaker 1: stand on a box restool like an apple box. Yeah. So, 773 00:42:58,040 --> 00:43:01,120 Speaker 1: and then this one, this one is published in Science Advances. 774 00:43:02,080 --> 00:43:05,160 Speaker 1: Yeah so, I guess I hadn't really thought about this one, because, 775 00:43:05,360 --> 00:43:07,680 Speaker 1: if anything, I would have guessed the taller people. Or 776 00:43:07,760 --> 00:43:12,120 Speaker 1: maybe this is the problem with with perspective, Like I'm 777 00:43:12,160 --> 00:43:15,080 Speaker 1: not good at sports or throwing things and making them 778 00:43:15,080 --> 00:43:17,640 Speaker 1: go where I want them to go, so I would 779 00:43:17,640 --> 00:43:20,239 Speaker 1: have the tendency to fall into the trap of assuming 780 00:43:20,280 --> 00:43:23,200 Speaker 1: this is the universal experience, despite the fact that there's 781 00:43:23,200 --> 00:43:26,320 Speaker 1: plenty of evidence that you know, obviously we have plenty 782 00:43:26,360 --> 00:43:29,920 Speaker 1: of of of tall basketball players who are exceptional at 783 00:43:29,920 --> 00:43:32,640 Speaker 1: throwing objects and making them go where they want them 784 00:43:32,640 --> 00:43:36,040 Speaker 1: to go. Yeah. Yeah, And I guess to like, the 785 00:43:36,080 --> 00:43:38,920 Speaker 1: thing that I end up thinking about with this is 786 00:43:40,040 --> 00:43:42,680 Speaker 1: the thing that I end up thinking about with this is, 787 00:43:42,800 --> 00:43:45,600 Speaker 1: for instance, really tall people taller than you even like, 788 00:43:45,680 --> 00:43:47,759 Speaker 1: for instance, my father in law is a pretty tall guy, 789 00:43:47,840 --> 00:43:50,520 Speaker 1: and so is my brother in law. Like, the idea 790 00:43:50,560 --> 00:43:53,759 Speaker 1: of them having like a spatial advantage seems ludicrous to 791 00:43:53,800 --> 00:43:56,239 Speaker 1: me because like whenever they have to get into like 792 00:43:56,280 --> 00:44:00,520 Speaker 1: a sedan, it's like, you know, a complete hassle, like 793 00:44:00,560 --> 00:44:02,440 Speaker 1: their heads touching the roof the whole time, or they're 794 00:44:02,480 --> 00:44:04,719 Speaker 1: bending their neck or something like that. So I mean, 795 00:44:04,760 --> 00:44:06,719 Speaker 1: I guess like it's a spatial advantage of terms of 796 00:44:06,760 --> 00:44:09,160 Speaker 1: like do they need to get something down off of 797 00:44:09,200 --> 00:44:11,760 Speaker 1: the top of a shelf or something, But like yeah, 798 00:44:11,960 --> 00:44:15,839 Speaker 1: or or I have noticed this that I can Uh, 799 00:44:16,239 --> 00:44:17,920 Speaker 1: there are parts of the house, like the top of 800 00:44:17,920 --> 00:44:21,040 Speaker 1: the refrigerator. Um, I'm the only one who can see 801 00:44:21,040 --> 00:44:23,280 Speaker 1: on the top of the refrigerator without standing on something. 802 00:44:23,520 --> 00:44:25,440 Speaker 1: So I'm the only one who noticed that notices it 803 00:44:25,480 --> 00:44:27,839 Speaker 1: notices that it needs dusting. Yeah, so that's like the 804 00:44:27,880 --> 00:44:30,920 Speaker 1: only example of the spatial advantage that I have, and 805 00:44:30,960 --> 00:44:36,759 Speaker 1: it just ties into laziness concerning the dusting of the house. Sure, sure, yeah, yeah, 806 00:44:36,760 --> 00:44:39,880 Speaker 1: I don't know. That's strange to me because I a 807 00:44:39,920 --> 00:44:42,000 Speaker 1: lot of the people I know who are very tall 808 00:44:42,200 --> 00:44:45,840 Speaker 1: are do complain about like, well, either these chairs aren't 809 00:44:45,840 --> 00:44:50,360 Speaker 1: exactly made from my body type, my morphology, you know, uh, 810 00:44:50,520 --> 00:44:54,359 Speaker 1: or whatever else in the universe, you know. Um, I 811 00:44:54,360 --> 00:44:58,040 Speaker 1: imagine that there's just like a certain average height that 812 00:44:58,200 --> 00:45:01,279 Speaker 1: is shot for when you're like constructing I don't know, 813 00:45:01,400 --> 00:45:04,239 Speaker 1: like a car and how how tall that goes, or 814 00:45:05,520 --> 00:45:08,680 Speaker 1: particular kinds of chairs or ladders, or or how tall 815 00:45:08,800 --> 00:45:12,360 Speaker 1: refrigerators are. Yeah. So I'd love to hear tall, taller, 816 00:45:12,400 --> 00:45:16,600 Speaker 1: and shorter people comment on their spatial relationships. Uh uh, 817 00:45:16,880 --> 00:45:19,120 Speaker 1: you know when they ride into us. All right, So 818 00:45:19,160 --> 00:45:21,319 Speaker 1: we have one more area to discuss here, and that 819 00:45:21,480 --> 00:45:25,600 Speaker 1: is the idea of a Napoleon complex. Uh, shortman syndrome. 820 00:45:25,600 --> 00:45:27,920 Speaker 1: You're you're familiar with this idea, I am. But you 821 00:45:27,960 --> 00:45:30,360 Speaker 1: know what's funny is that whenever I refer to somebody 822 00:45:30,360 --> 00:45:33,439 Speaker 1: as having a Napoleon complex, I'm never referring to their 823 00:45:33,480 --> 00:45:37,000 Speaker 1: actual height. It's usually more about their personality, although I 824 00:45:37,040 --> 00:45:40,400 Speaker 1: know that obviously the term came from the idea that 825 00:45:40,480 --> 00:45:42,759 Speaker 1: Napoleon was short, right, Yeah, I mean that's that's the 826 00:45:42,800 --> 00:45:45,719 Speaker 1: basic idea here, is that a shorter person is allegedly 827 00:45:45,760 --> 00:45:50,080 Speaker 1: fueled by boastful, aggressive, and possessive motivations to make up 828 00:45:50,080 --> 00:45:53,400 Speaker 1: their lack of physical stature. And and you're mentioning that 829 00:45:53,480 --> 00:45:56,120 Speaker 1: your your use of it has often come down to 830 00:45:56,280 --> 00:45:59,319 Speaker 1: more of a like like they're they're boastful, and they're 831 00:45:59,600 --> 00:46:03,719 Speaker 1: they're rested because there's some there's something some insecurity, and 832 00:46:04,120 --> 00:46:06,400 Speaker 1: regardless of whether it's height or not, they've got the 833 00:46:06,440 --> 00:46:10,520 Speaker 1: Napoleon complex that leads to these characteristics. Yeah, but I'm 834 00:46:10,560 --> 00:46:13,120 Speaker 1: you know, I've probably been using it wrong. Well, no, no, 835 00:46:13,239 --> 00:46:15,680 Speaker 1: I I this is interesting because when we come to height, 836 00:46:15,719 --> 00:46:18,560 Speaker 1: what I mean, we we use it in strange ways 837 00:46:18,600 --> 00:46:20,640 Speaker 1: all the time. Like you talk of some you speak 838 00:46:20,680 --> 00:46:23,839 Speaker 1: of someone like Einstein and and you know, you might 839 00:46:24,480 --> 00:46:26,600 Speaker 1: describe him as a giant, Oh, he was a giant 840 00:46:26,600 --> 00:46:30,000 Speaker 1: of his time, or talk talk about the sciences in general, 841 00:46:30,000 --> 00:46:34,080 Speaker 1: about proceeding on the backs of giants. So that's interesting, 842 00:46:34,120 --> 00:46:37,160 Speaker 1: and we end up applying sort of you know, figurative 843 00:46:37,239 --> 00:46:41,160 Speaker 1: stature to to individuals just on the basis of, say, 844 00:46:41,160 --> 00:46:43,560 Speaker 1: their intellectual merit. So what I think I'm getting out 845 00:46:43,600 --> 00:46:47,920 Speaker 1: of this is that just like humanity in general, for centuries, 846 00:46:48,400 --> 00:46:52,880 Speaker 1: have gotten used to the idea of using height as 847 00:46:52,920 --> 00:46:59,319 Speaker 1: a barometer basically for personality and for health. But in 848 00:46:59,360 --> 00:47:02,000 Speaker 1: the last tree, we've really gotten to a point where 849 00:47:02,000 --> 00:47:07,839 Speaker 1: healthcare has revealed that it's not necessarily the factor. There's 850 00:47:07,880 --> 00:47:10,120 Speaker 1: a lot else that's going into it. But at the 851 00:47:10,160 --> 00:47:13,720 Speaker 1: same time, like our language, our culture hasn't really caught 852 00:47:13,800 --> 00:47:15,680 Speaker 1: up to that yet, right, Yeah, I think that's a 853 00:47:15,680 --> 00:47:18,319 Speaker 1: good read on what's going on here now In terms 854 00:47:18,360 --> 00:47:21,640 Speaker 1: of the the Napoleon complex itself. The term was coined 855 00:47:21,640 --> 00:47:27,000 Speaker 1: by Austrian psychologist Alfred Adler in uh and it's it's 856 00:47:27,040 --> 00:47:31,280 Speaker 1: all ready to observe because by most accounts, Napoleon Bonaparte, 857 00:47:31,360 --> 00:47:34,120 Speaker 1: famed a French leader, was five six or five seven, 858 00:47:34,440 --> 00:47:37,040 Speaker 1: perfectly normal height for the day, really a perfectly normal 859 00:47:37,080 --> 00:47:40,720 Speaker 1: height for to day. But is there any truth to 860 00:47:40,719 --> 00:47:43,040 Speaker 1: to any of this? Is it all just a matter 861 00:47:43,120 --> 00:47:45,160 Speaker 1: of height? Is m Is it? Just like you said, 862 00:47:45,560 --> 00:47:48,080 Speaker 1: our our culture and language not quite catching up with 863 00:47:48,120 --> 00:47:52,080 Speaker 1: this new balance of of of height and health is there? 864 00:47:52,120 --> 00:47:54,080 Speaker 1: You know, it's is there? Is it just a stupid 865 00:47:54,160 --> 00:47:57,279 Speaker 1: label for which a short person is aggressive while if 866 00:47:57,280 --> 00:47:59,560 Speaker 1: a tall person is acting aggressive and it's just hey, 867 00:47:59,560 --> 00:48:01,879 Speaker 1: they're just that's perfectly natural. Of course they are either 868 00:48:01,920 --> 00:48:04,120 Speaker 1: tall and aggressive. And I have to say that I 869 00:48:04,160 --> 00:48:06,319 Speaker 1: never put much stock in it myself because it's it's 870 00:48:06,360 --> 00:48:09,279 Speaker 1: so cartoony. It it literally makes me think of like 871 00:48:09,320 --> 00:48:14,719 Speaker 1: a cartoon small dog yapping and jumping around. Yeah. So 872 00:48:14,880 --> 00:48:16,840 Speaker 1: I looked into it, and there are a few studies 873 00:48:16,880 --> 00:48:20,239 Speaker 1: that that examine the Napoleon complex. Uh. There's a two 874 00:48:20,280 --> 00:48:24,920 Speaker 1: thousand four study titled Personality Functioning the Influence of Stature, 875 00:48:24,920 --> 00:48:26,920 Speaker 1: and this is published in the Archives of Disease in 876 00:48:27,080 --> 00:48:31,200 Speaker 1: Childhood and it used the Wessex Growth Study using forty 877 00:48:31,200 --> 00:48:34,240 Speaker 1: eight short normal and sixty six control participants to tackle 878 00:48:34,280 --> 00:48:37,520 Speaker 1: the question. And they found no significant effect of recruitment 879 00:48:37,560 --> 00:48:42,200 Speaker 1: height or final height on the Adult Personality Functioning Assessment 880 00:48:42,280 --> 00:48:46,879 Speaker 1: score or on any of the underlying domain scores. So 881 00:48:47,000 --> 00:48:49,920 Speaker 1: what they found is that socioeconomic status has the biggest 882 00:48:49,920 --> 00:48:53,960 Speaker 1: effect on the total score, on employment, on education, on 883 00:48:54,320 --> 00:48:57,440 Speaker 1: coping domain scores as well. So quote no evidence was 884 00:48:57,480 --> 00:49:01,000 Speaker 1: found that stature per se significantly of factor the functioning 885 00:49:01,160 --> 00:49:05,160 Speaker 1: off the participants in these areas as young adults. So, alright, 886 00:49:05,200 --> 00:49:07,160 Speaker 1: something just popped in my head, which is another sort 887 00:49:07,160 --> 00:49:12,120 Speaker 1: of generalism that people make about Americans. I'd say, uh, 888 00:49:12,120 --> 00:49:15,080 Speaker 1: and I'm guilty of this as well, but the idea 889 00:49:15,160 --> 00:49:20,279 Speaker 1: that most Americans are very uncomfortable talking about class, specifically 890 00:49:20,280 --> 00:49:24,800 Speaker 1: socioeconomic status. Uh. And this is why, like, for instance, 891 00:49:24,840 --> 00:49:27,640 Speaker 1: you have studies that show that, like, people who are 892 00:49:28,560 --> 00:49:31,200 Speaker 1: metrically in the upper class think of themselves as being 893 00:49:31,200 --> 00:49:33,320 Speaker 1: in the middle class, and people who are metrically in 894 00:49:33,360 --> 00:49:35,279 Speaker 1: the lower class think of themselves as being in the 895 00:49:35,280 --> 00:49:39,880 Speaker 1: middle class. Right, everybody wants to be in the middle class. Um. 896 00:49:39,920 --> 00:49:43,040 Speaker 1: Maybe this is subsequently, why we just keep going back 897 00:49:43,080 --> 00:49:46,839 Speaker 1: to height, is because it's a lot easier to talk about, well, 898 00:49:47,000 --> 00:49:52,680 Speaker 1: Robert's tall and Christians medium size, right, rather than saying, like, well, 899 00:49:53,120 --> 00:49:57,200 Speaker 1: you know, we have a clear like class delineation problem, 900 00:49:57,239 --> 00:49:59,759 Speaker 1: and the people who have the more money or mora 901 00:50:00,040 --> 00:50:03,040 Speaker 1: likely to be healthy. And that's you know, basic human 902 00:50:03,160 --> 00:50:05,560 Speaker 1: right that seems like it should extend to everybody, right, 903 00:50:06,400 --> 00:50:09,120 Speaker 1: So I'm kind of curious how much that plays into 904 00:50:09,160 --> 00:50:12,600 Speaker 1: it like all this talk about height really seems to 905 00:50:12,680 --> 00:50:16,799 Speaker 1: be avoiding the socioeconomic factor that keeps coming back in 906 00:50:16,920 --> 00:50:20,000 Speaker 1: over and over and over again. Now there's a two 907 00:50:20,000 --> 00:50:22,360 Speaker 1: thousand seven study and this came from the University of 908 00:50:22,400 --> 00:50:25,239 Speaker 1: Central Lancashire, and this study actually found the reverse of 909 00:50:25,280 --> 00:50:28,400 Speaker 1: the Napoleon complex. The tall men were more likely to 910 00:50:28,480 --> 00:50:32,040 Speaker 1: lose their temper than short men. They explored this via 911 00:50:32,120 --> 00:50:35,200 Speaker 1: what they called the chopstick game. And this is kind 912 00:50:35,200 --> 00:50:38,120 Speaker 1: of hilarious, in which men of different heights dueled with 913 00:50:38,160 --> 00:50:42,239 Speaker 1: wooden sticks, but one of the subjects deliberately provoked the 914 00:50:42,280 --> 00:50:47,359 Speaker 1: other by wrapping them across the knuckle. Okay, so and 915 00:50:47,400 --> 00:50:50,279 Speaker 1: in this scenario, like the knuckle rappers here, they have 916 00:50:50,320 --> 00:50:52,839 Speaker 1: been preconditioned to do this. They're saying, look, we're gonna 917 00:50:52,840 --> 00:50:54,239 Speaker 1: have this scenario. We're gonna go in there and start 918 00:50:54,320 --> 00:50:57,040 Speaker 1: chop sticking around, but just whack the hell out of 919 00:50:57,040 --> 00:51:00,800 Speaker 1: this guy's knuckles. Um. And this was a very small study, 920 00:51:00,880 --> 00:51:03,120 Speaker 1: so it wasn't like a complete battle royale, but you 921 00:51:03,160 --> 00:51:05,840 Speaker 1: have ten men of average height and the same number 922 00:51:05,840 --> 00:51:08,759 Speaker 1: below five ft five uh. And they found that the 923 00:51:08,800 --> 00:51:12,680 Speaker 1: taller men were more likely to lose it over these Shenanigans. Quote, 924 00:51:12,680 --> 00:51:15,640 Speaker 1: the results were consistent with the view that small man 925 00:51:15,800 --> 00:51:19,480 Speaker 1: syndrome use a meth. That's fascinating. I mean, that's a 926 00:51:19,560 --> 00:51:23,040 Speaker 1: really small sample study and I'm assuming it's you know, 927 00:51:23,480 --> 00:51:27,560 Speaker 1: it's only within that specific area too, But it's interesting. 928 00:51:27,680 --> 00:51:32,000 Speaker 1: I just love the idea that's like such a farcical uh, 929 00:51:32,440 --> 00:51:35,200 Speaker 1: like like comedy waiting to happen. Like I would love 930 00:51:35,239 --> 00:51:37,520 Speaker 1: to watch like a video of the proceedings where it's 931 00:51:37,560 --> 00:51:40,960 Speaker 1: just like small men whacking tall men on the on 932 00:51:41,000 --> 00:51:44,080 Speaker 1: the knuckles with chopsticks of all things. Yeah, it seems 933 00:51:44,120 --> 00:51:47,080 Speaker 1: like a strange indicator of like overall personality. To what 934 00:51:47,200 --> 00:51:52,000 Speaker 1: extent you were offended by, like someone essentially physically assaulting 935 00:51:52,040 --> 00:51:53,920 Speaker 1: here or going a little too far. I think I 936 00:51:53,960 --> 00:51:58,280 Speaker 1: would just start laughing. Yeah, but hey, I'm only five nine, 937 00:51:59,040 --> 00:52:02,520 Speaker 1: all right. And then final study here, this one came 938 00:52:02,560 --> 00:52:06,279 Speaker 1: from Professor Abraham Bunk of the University of Granigan in 939 00:52:06,360 --> 00:52:08,840 Speaker 1: Holland and here are you the opposite in two thousand 940 00:52:08,840 --> 00:52:11,319 Speaker 1: and eight, So the researchers question a hundred men and 941 00:52:11,360 --> 00:52:15,680 Speaker 1: a hundred women in relationships about their their levels of jealousy, 942 00:52:15,719 --> 00:52:18,960 Speaker 1: their feelings of jealousy, and how interested they believe their 943 00:52:19,000 --> 00:52:21,279 Speaker 1: partners to be in other members of the opposite sex. 944 00:52:21,280 --> 00:52:24,040 Speaker 1: And this seems to be zeroing in on like one 945 00:52:24,120 --> 00:52:27,759 Speaker 1: aspect of the supposed Napoleon complex, the idea that that 946 00:52:27,920 --> 00:52:31,000 Speaker 1: shorter men are going to be more possessive and more jealous. 947 00:52:31,760 --> 00:52:34,960 Speaker 1: So they found that five ft four inch men scored 948 00:52:34,960 --> 00:52:37,760 Speaker 1: an average of three point seven five out of six 949 00:52:37,800 --> 00:52:41,560 Speaker 1: on a jealousy scale, while men around six six they 950 00:52:41,600 --> 00:52:44,680 Speaker 1: scored two point to five on the jealousy scale. Now 951 00:52:44,680 --> 00:52:48,000 Speaker 1: the female results were more complex. So you have average 952 00:52:48,040 --> 00:52:52,840 Speaker 1: heighted women, they were scoring lowest out of everybody, getting 953 00:52:52,840 --> 00:52:55,360 Speaker 1: a three out of six on the jealousy scale. The 954 00:52:55,480 --> 00:52:57,560 Speaker 1: tallest though women at six ft they got a four 955 00:52:57,600 --> 00:52:59,840 Speaker 1: out of six. And the shortest women they scored the 956 00:52:59,840 --> 00:53:02,799 Speaker 1: best of all. They got, you know, a five feet tall, 957 00:53:03,040 --> 00:53:05,800 Speaker 1: they got five out of six. So the short women 958 00:53:06,320 --> 00:53:08,600 Speaker 1: were the least likely to be jealous. They were the 959 00:53:08,640 --> 00:53:12,880 Speaker 1: most confident of all of these participants. Yeah, man, it 960 00:53:12,960 --> 00:53:14,640 Speaker 1: seems like the way to go is to be a 961 00:53:14,680 --> 00:53:17,320 Speaker 1: short woman when you look again, like back at the 962 00:53:17,520 --> 00:53:21,799 Speaker 1: Japanese women who live the longest there I think, if 963 00:53:21,800 --> 00:53:24,280 Speaker 1: I remember correctly from the data earlier in the episode 964 00:53:24,320 --> 00:53:28,759 Speaker 1: four nine on average, and then these ladies very confident. Yeah, 965 00:53:28,840 --> 00:53:30,640 Speaker 1: I don't know. They said this was one of their 966 00:53:30,680 --> 00:53:34,720 Speaker 1: their core findings. Quote, short men were, as expected, most 967 00:53:34,800 --> 00:53:37,600 Speaker 1: jealous in the presence of powerful, tall, strong, and rich 968 00:53:37,640 --> 00:53:42,040 Speaker 1: potential rivals. So this is not a study to you know, 969 00:53:42,480 --> 00:53:46,160 Speaker 1: govern your behavior in life choices, but it it uh, 970 00:53:46,480 --> 00:53:50,000 Speaker 1: it's it's interesting in that it it presents the one 971 00:53:50,160 --> 00:53:53,640 Speaker 1: study that I could find that argued in favor of 972 00:53:53,719 --> 00:53:59,520 Speaker 1: at least some level of of shortman syndrome or Napoleon complex. So, Okay, 973 00:53:59,680 --> 00:54:02,880 Speaker 1: we've looked at the mental attributes, We've looked at the 974 00:54:02,880 --> 00:54:06,880 Speaker 1: physical attributes, We've cracked all these numbers. We've thrown around 975 00:54:07,000 --> 00:54:11,719 Speaker 1: metrics of height, uh and death and rates of mortality. 976 00:54:11,800 --> 00:54:17,000 Speaker 1: Now what have we come to a conclusion on Well, 977 00:54:17,040 --> 00:54:19,680 Speaker 1: I think we've come to the conclusion that, yes, in 978 00:54:19,760 --> 00:54:24,160 Speaker 1: certain scenarios, especially with health, you can point to high 979 00:54:24,200 --> 00:54:27,400 Speaker 1: as it as as an indicator, as a partial indicator 980 00:54:28,480 --> 00:54:31,400 Speaker 1: among many other indicators about what might happen with your body. 981 00:54:31,480 --> 00:54:34,439 Speaker 1: But on its own, I think I agree with that 982 00:54:34,640 --> 00:54:37,359 Speaker 1: study that we present at the top, that it's an 983 00:54:37,440 --> 00:54:42,160 Speaker 1: unreliable predictor. You can't just say well, because somebody is 984 00:54:42,320 --> 00:54:46,040 Speaker 1: this tall, they're less likely to do X, Y and Z, 985 00:54:46,160 --> 00:54:49,840 Speaker 1: or they're more likely to die from A B and C. Uh. 986 00:54:50,080 --> 00:54:52,799 Speaker 1: It just seems like what we should really be paying 987 00:54:52,840 --> 00:54:58,840 Speaker 1: attention to is nutrition, and socioeconomics does seem way more important. Yeah. Likewise, 988 00:54:58,880 --> 00:55:01,200 Speaker 1: with you with the psychological stuff, I really like what 989 00:55:01,280 --> 00:55:03,880 Speaker 1: you said earlier that it seems like it's largely this 990 00:55:03,960 --> 00:55:07,080 Speaker 1: idea that we do have some some primal instincts in 991 00:55:07,200 --> 00:55:11,760 Speaker 1: judging an individual by height. But those those those primal judgments, 992 00:55:11,800 --> 00:55:14,279 Speaker 1: even though they may pop up to varying degrees in 993 00:55:14,360 --> 00:55:18,959 Speaker 1: modern living. Uh, it's a far more complicated scenario now 994 00:55:19,000 --> 00:55:22,320 Speaker 1: thanks to all the additional layers of human culture. Ye. Well, 995 00:55:22,560 --> 00:55:27,280 Speaker 1: that said, I have tallied up our results, and you 996 00:55:27,840 --> 00:55:33,120 Speaker 1: scored three and I scored four. So I am more 997 00:55:33,160 --> 00:55:37,440 Speaker 1: likely to die at a younger age than you are, 998 00:55:37,920 --> 00:55:44,800 Speaker 1: based on this very informal study that we've done here today. Uh. So, hey, guys, 999 00:55:44,920 --> 00:55:47,160 Speaker 1: I'll see I'll see you when I see you. Yeah, Well, 1000 00:55:47,680 --> 00:55:49,520 Speaker 1: this means you have to do the follow up episode 1001 00:55:49,640 --> 00:55:53,400 Speaker 1: after I die, after you die, yeah, which is about 1002 00:55:53,440 --> 00:55:55,799 Speaker 1: how it was an unreliable predictor No, no no, no, because 1003 00:55:55,840 --> 00:55:59,279 Speaker 1: I'm gonna die first, right, No, I'm gonna I've got 1004 00:55:59,280 --> 00:56:02,239 Speaker 1: to do the podcast. You It'll be you and your 1005 00:56:02,280 --> 00:56:04,480 Speaker 1: new co host will be seven feet tall. Yeah, well 1006 00:56:04,480 --> 00:56:07,400 Speaker 1: it's gonna be a robot son telling Yeah, exactly a 1007 00:56:07,400 --> 00:56:09,560 Speaker 1: lot of people don't know this, but Carney is very tall. 1008 00:56:09,840 --> 00:56:12,520 Speaker 1: They usually imagine it was like a short robot with 1009 00:56:12,560 --> 00:56:14,759 Speaker 1: like a mailbox for ahead, but he's he's massive. We 1010 00:56:14,800 --> 00:56:17,400 Speaker 1: haven't really reached up there. He's like the robot on 1011 00:56:17,440 --> 00:56:20,200 Speaker 1: that that Queen album cover that's crushing the band members 1012 00:56:20,239 --> 00:56:25,000 Speaker 1: in their hands. He's imposing. Yeah. Okay, Well, if this 1013 00:56:25,120 --> 00:56:28,240 Speaker 1: was interesting to you and you're thinking, well, wait a minute, 1014 00:56:28,239 --> 00:56:30,680 Speaker 1: I'm a tall person or I'm a short person. This 1015 00:56:30,760 --> 00:56:33,120 Speaker 1: doesn't line up with what I thought I knew about myself. 1016 00:56:33,400 --> 00:56:35,759 Speaker 1: Tell us your experience, you know, i'd like to know, 1017 00:56:36,400 --> 00:56:38,960 Speaker 1: have you experienced a Napoleon complex? Do you know about 1018 00:56:39,000 --> 00:56:43,360 Speaker 1: any specific physical ailments that you feel like are you're 1019 00:56:43,400 --> 00:56:46,680 Speaker 1: more likely to have because of your stature? Let us 1020 00:56:46,719 --> 00:56:49,000 Speaker 1: know the best way to do that is to reach 1021 00:56:49,040 --> 00:56:53,759 Speaker 1: out to us on social media where we are on Facebook, Twitter, Tumbler, 1022 00:56:54,160 --> 00:56:57,320 Speaker 1: and Instagram. That's right, and uh and as always you 1023 00:56:57,320 --> 00:56:59,040 Speaker 1: can find is that the mother Ship had Stuff to 1024 00:56:59,040 --> 00:57:00,879 Speaker 1: Blow your Mind dot com on That's where you'll find 1025 00:57:00,920 --> 00:57:04,280 Speaker 1: all the podcast episodes, you'll find videos, you'll find blog 1026 00:57:04,320 --> 00:57:07,160 Speaker 1: post links out to those social media accounts. Like we mentioned, 1027 00:57:07,200 --> 00:57:09,239 Speaker 1: everything is there, and if you just want to write 1028 00:57:09,280 --> 00:57:13,840 Speaker 1: us a sweet, long letter the old fashioned way, you 1029 00:57:13,880 --> 00:57:16,040 Speaker 1: can reach out to us at blow the Mind at 1030 00:57:16,040 --> 00:57:29,280 Speaker 1: how stuff works dot com. For more on this and 1031 00:57:29,400 --> 00:57:31,960 Speaker 1: thousands of other topics, is that how stuff works dot 1032 00:57:31,960 --> 00:57:55,000 Speaker 1: com