1 00:00:00,320 --> 00:00:03,000 Speaker 1: Brought to you by the reinvented two thousand twelve Camray. 2 00:00:03,240 --> 00:00:10,000 Speaker 1: It's ready. Are you welcome to stuff Mom Never told you? 3 00:00:10,200 --> 00:00:17,560 Speaker 1: From House Stuff Works dot Com. Hello, and welcome to 4 00:00:17,600 --> 00:00:22,079 Speaker 1: the podcast. I'm Kristen and I'm Caroline. So for listeners 5 00:00:22,120 --> 00:00:25,799 Speaker 1: out there who did not listen to the last episode, 6 00:00:26,400 --> 00:00:29,440 Speaker 1: tis tisk first of all, but just to get you 7 00:00:29,520 --> 00:00:33,440 Speaker 1: up to speed. In our last episode, we discussed men 8 00:00:33,880 --> 00:00:38,120 Speaker 1: and height, and especially these hosts of studies about how 9 00:00:38,240 --> 00:00:42,000 Speaker 1: tallman seemed to have advantages health wise, they seem to 10 00:00:42,000 --> 00:00:45,080 Speaker 1: make more money, they seem to be more sexually attractive, 11 00:00:45,479 --> 00:00:49,160 Speaker 1: I mean, just good, good, good across the board. Yeah, 12 00:00:49,360 --> 00:00:52,080 Speaker 1: it seems very good to be a tall man. And 13 00:00:52,120 --> 00:00:55,520 Speaker 1: it's promised today we're going to talk about women in 14 00:00:55,640 --> 00:01:00,520 Speaker 1: height because we've discovered that the story is much different 15 00:01:00,640 --> 00:01:03,360 Speaker 1: than it was for the men. Yeah, it's not all 16 00:01:03,360 --> 00:01:06,160 Speaker 1: it's cut out to be to be a tall woman, unfortunately. 17 00:01:06,800 --> 00:01:10,160 Speaker 1: And let's also remind folks that, uh, you know, I mean, Caroline, 18 00:01:10,160 --> 00:01:12,520 Speaker 1: I have to have a little sensitivity today because I 19 00:01:12,560 --> 00:01:15,840 Speaker 1: am a tall woman. Absolutely, I'm I'm five ft nine 20 00:01:15,880 --> 00:01:19,280 Speaker 1: inches and I'm proud of every inch or centimeter. For 21 00:01:19,440 --> 00:01:25,720 Speaker 1: our metric listeners most of the world. Yes. Um, so, yeah, 22 00:01:25,840 --> 00:01:27,920 Speaker 1: there's some bad news. Let's start. Let's get the bad 23 00:01:27,920 --> 00:01:32,040 Speaker 1: news over with al right. Well, in July, researchers at 24 00:01:32,080 --> 00:01:36,280 Speaker 1: Oxford University broke the news to Kristen, just to me, 25 00:01:36,480 --> 00:01:40,000 Speaker 1: to Kristen, uh that actually tall ladies are at a 26 00:01:40,000 --> 00:01:44,080 Speaker 1: greater risk of developing cancer. Yes. Uh. And this was 27 00:01:44,800 --> 00:01:47,680 Speaker 1: a study result that was circulated in a lot of 28 00:01:47,920 --> 00:01:52,000 Speaker 1: mainstream media, so you might have already seen something about this. 29 00:01:52,240 --> 00:01:55,320 Speaker 1: And just to boil it down to you, for you, 30 00:01:55,600 --> 00:01:59,560 Speaker 1: a woman's chance of developing cancer rose according to the study. 31 00:01:59,600 --> 00:02:02,080 Speaker 1: And this is a study, it's called a million woman study, 32 00:02:02,560 --> 00:02:06,280 Speaker 1: and um it boiled in this particular instance, boiled down 33 00:02:06,280 --> 00:02:10,880 Speaker 1: to nine thousand women who had developed cancer. Um, and 34 00:02:10,919 --> 00:02:15,040 Speaker 1: the risk of developing cancer rose by sixteen percent for 35 00:02:15,200 --> 00:02:20,800 Speaker 1: every extra ten centimeters or four inches in height. And 36 00:02:20,840 --> 00:02:24,960 Speaker 1: it and it freaked me out, Caroline in particular because, uh, 37 00:02:25,160 --> 00:02:27,600 Speaker 1: it focused on women from five ft tall to five 38 00:02:27,600 --> 00:02:30,679 Speaker 1: ft nine inches tall. So let's study I'm in the 39 00:02:31,480 --> 00:02:37,000 Speaker 1: highest highest risk group. I am not at all, not 40 00:02:37,120 --> 00:02:41,520 Speaker 1: even close. Uh. Yeah. Well, they actually researchers focused on 41 00:02:41,560 --> 00:02:44,720 Speaker 1: seventeen types of cancer and the risk increased was statistically 42 00:02:44,760 --> 00:02:48,760 Speaker 1: significant for ten of them, including breast, ovary and large 43 00:02:48,800 --> 00:02:52,119 Speaker 1: bowel cancer. And this is not the first study actually 44 00:02:52,160 --> 00:02:58,639 Speaker 1: to correlate cancer and being tall. And some researchers think 45 00:02:58,720 --> 00:03:02,480 Speaker 1: that it might have something to do with a protein 46 00:03:03,080 --> 00:03:07,359 Speaker 1: called i g F one. Right, it's called insulin like 47 00:03:07,480 --> 00:03:10,960 Speaker 1: growth factor one, and it has a lot of effect 48 00:03:11,560 --> 00:03:14,080 Speaker 1: on your childhood growth, not so much on adult growth. 49 00:03:14,160 --> 00:03:17,600 Speaker 1: But some researchers think that it could predispose you to 50 00:03:17,720 --> 00:03:19,959 Speaker 1: cancer later on if you have more of it, a 51 00:03:20,040 --> 00:03:23,200 Speaker 1: higher concentration of it circulating in your blood. Right, And 52 00:03:23,240 --> 00:03:25,400 Speaker 1: the main purpose of i g F one is to 53 00:03:25,440 --> 00:03:29,840 Speaker 1: stimulate growth in muscle cells, kidneys, bones, liver, lungs, nerves. 54 00:03:30,040 --> 00:03:32,799 Speaker 1: It kind of makes you get big and strong as 55 00:03:32,800 --> 00:03:36,000 Speaker 1: you're a child. Yeah. In a study from George Davy 56 00:03:36,040 --> 00:03:39,320 Speaker 1: Smith Um, he says that more evidence has been found 57 00:03:39,320 --> 00:03:41,200 Speaker 1: in recent years that i g F one plays a 58 00:03:41,320 --> 00:03:44,960 Speaker 1: role in cancer. Uh. Something else that's uh that's related 59 00:03:45,000 --> 00:03:49,160 Speaker 1: to that is calorie intake. Because the higher overall calorie 60 00:03:49,200 --> 00:03:51,760 Speaker 1: intake earlier in life. You know, if you're stuffing your 61 00:03:51,760 --> 00:03:54,920 Speaker 1: face full of cheetahs like I did, and it didn't 62 00:03:54,920 --> 00:03:58,920 Speaker 1: make me grow. Actually, probably why I'm short, um, but 63 00:03:59,000 --> 00:04:01,720 Speaker 1: no that the higher that help caloric intake earlier in 64 00:04:01,800 --> 00:04:04,080 Speaker 1: life could actually raise the cancer risk, and they think 65 00:04:04,120 --> 00:04:07,760 Speaker 1: it has something to do with um more calories, more 66 00:04:07,880 --> 00:04:10,960 Speaker 1: energy boosting I g F that kind of right. Well, 67 00:04:11,000 --> 00:04:13,680 Speaker 1: it also makes sense that okay, say, I'm um, I 68 00:04:13,800 --> 00:04:18,360 Speaker 1: was a tall child and probably had a higher concentration 69 00:04:18,520 --> 00:04:20,960 Speaker 1: of I g F one that was stimulating all of 70 00:04:20,960 --> 00:04:23,200 Speaker 1: that growth. I was always the tallest kid um before 71 00:04:23,240 --> 00:04:25,240 Speaker 1: I started home schooling, how is the tall as kid 72 00:04:25,600 --> 00:04:28,680 Speaker 1: in my class? And probably because of all of that growth, 73 00:04:28,760 --> 00:04:33,000 Speaker 1: I had a pretty high caloric intake compared to my 74 00:04:33,120 --> 00:04:36,240 Speaker 1: shorter classmates. So they're thinking that maybe there's a link 75 00:04:36,279 --> 00:04:40,200 Speaker 1: between between all of that that calorie intake, because there 76 00:04:40,200 --> 00:04:45,240 Speaker 1: have been other studies on calorie intake and cancer development 77 00:04:45,279 --> 00:04:48,240 Speaker 1: down the road that says that you know, lower calorie 78 00:04:48,240 --> 00:04:51,080 Speaker 1: diets makes you healthier down the road. For instance, if 79 00:04:51,120 --> 00:04:55,839 Speaker 1: we look at the Okanahan's in Japan, the Okinawans have 80 00:04:56,200 --> 00:05:01,880 Speaker 1: the greatest longevity on the planet and there also very short. 81 00:05:02,240 --> 00:05:05,080 Speaker 1: For instance, the average height of an eighty seven year 82 00:05:05,120 --> 00:05:08,679 Speaker 1: old man Noquanalwa would be four ft nine inches, pretty short, 83 00:05:09,440 --> 00:05:13,040 Speaker 1: and they also have a very healthy, low calorie diet. 84 00:05:13,240 --> 00:05:15,640 Speaker 1: So you know, there are all these different pieces to 85 00:05:15,800 --> 00:05:19,960 Speaker 1: this height cancer puzzle. It seems to affect women more 86 00:05:20,080 --> 00:05:22,159 Speaker 1: than men, so it might be something to do with 87 00:05:22,240 --> 00:05:26,760 Speaker 1: calorie restriction interacting with i g F one, which stimulates growth. 88 00:05:27,400 --> 00:05:29,960 Speaker 1: Doctors are still working it out. Yeah, some of the 89 00:05:29,960 --> 00:05:33,200 Speaker 1: other longest living people in addition to the Japanese were 90 00:05:33,680 --> 00:05:37,400 Speaker 1: Chinese people and greats, and all of them are shorter 91 00:05:37,480 --> 00:05:40,560 Speaker 1: and way less than the average Northern European and Northern American. 92 00:05:40,800 --> 00:05:42,840 Speaker 1: But at the same time, when it comes to women 93 00:05:42,839 --> 00:05:47,520 Speaker 1: in health, being shorter is not always a positive indicator 94 00:05:47,839 --> 00:05:53,039 Speaker 1: of health because, as NPR reported recently, the average height 95 00:05:53,080 --> 00:05:57,880 Speaker 1: of women in fourteen African countries has actually shrunk, which 96 00:05:57,960 --> 00:06:01,440 Speaker 1: is suggesting not necessarily that the adults aren't as healthy, 97 00:06:01,520 --> 00:06:06,240 Speaker 1: but that childhood living conditions have not improved despite improvement 98 00:06:06,240 --> 00:06:09,880 Speaker 1: and infant mortality rates. Because when we talk about where 99 00:06:09,880 --> 00:06:15,080 Speaker 1: our height comes from around it comes from our genes, 100 00:06:15,800 --> 00:06:19,520 Speaker 1: but the rest of it comes from environmental factors, especially 101 00:06:19,920 --> 00:06:24,440 Speaker 1: childhood nutrition right childhood disease as also. Um. Yeah, in 102 00:06:24,440 --> 00:06:27,760 Speaker 1: this study where they looked at just all over the world, 103 00:06:27,800 --> 00:06:30,599 Speaker 1: in nineteen countries, women actually gained height, and in twenty 104 00:06:30,600 --> 00:06:34,400 Speaker 1: one they stayed the same. Um and researchers found that 105 00:06:34,520 --> 00:06:38,120 Speaker 1: changes in height were associated with income. Actually, affluent women 106 00:06:38,240 --> 00:06:42,480 Speaker 1: grew taller, I guess because they have more access to healthcare, 107 00:06:42,600 --> 00:06:46,720 Speaker 1: better nutrition, all of those things. Um, So it's kind 108 00:06:46,720 --> 00:06:49,560 Speaker 1: of interesting to see how there's there are these positive 109 00:06:49,600 --> 00:06:55,159 Speaker 1: and negative correlations with women in height in particular, but 110 00:06:55,320 --> 00:06:58,280 Speaker 1: in terms of in the in the US now we're 111 00:06:58,279 --> 00:07:05,919 Speaker 1: shifting to a Western focus culturally, height and women hasn't 112 00:07:05,960 --> 00:07:09,479 Speaker 1: been a pretty story. Tell me about it. Well, I 113 00:07:09,520 --> 00:07:13,160 Speaker 1: had never heard about this before until I started researching 114 00:07:13,240 --> 00:07:20,880 Speaker 1: on on tall women for this episode. And fifty years ago, Caroline, 115 00:07:21,120 --> 00:07:23,280 Speaker 1: It's not that long ago, not that long ago at all. 116 00:07:23,520 --> 00:07:27,840 Speaker 1: In Europe and in the United States, pediatric and chronologists 117 00:07:27,960 --> 00:07:32,720 Speaker 1: used to treat tall girls for their height because being 118 00:07:32,880 --> 00:07:35,240 Speaker 1: like it was a health issue. Yeah, well it was 119 00:07:35,280 --> 00:07:37,880 Speaker 1: a stigmatizing thing. If you were an extremely tall woman, 120 00:07:38,680 --> 00:07:42,240 Speaker 1: you were not as socially desirable. You're kind of an 121 00:07:42,280 --> 00:07:44,880 Speaker 1: odd ball who just passed. She can find a basketball player, 122 00:07:45,600 --> 00:07:49,800 Speaker 1: I know. But back you know, during that time, you know, 123 00:07:49,840 --> 00:07:52,960 Speaker 1: women weren't being raised to be basketball players. They were 124 00:07:53,000 --> 00:07:56,160 Speaker 1: supposed to be housewives. You know, they needed to to 125 00:07:56,200 --> 00:07:59,200 Speaker 1: attract a mate so that she could get married and 126 00:07:59,280 --> 00:08:03,480 Speaker 1: cook meals and have babies. One example that Hannah Echo 127 00:08:03,720 --> 00:08:07,080 Speaker 1: points out in Bitch Magazine when she's talking about this 128 00:08:07,200 --> 00:08:10,960 Speaker 1: tall female stereotype is Julia Child. If you've ever seen 129 00:08:11,040 --> 00:08:14,760 Speaker 1: Julian Julia, there's a great scene between Meryl Streep and 130 00:08:14,840 --> 00:08:18,840 Speaker 1: Jane Lynch, one of my favorite I love ackers um, 131 00:08:18,880 --> 00:08:21,000 Speaker 1: and they're, you know, they're both very tall women, and 132 00:08:21,040 --> 00:08:23,840 Speaker 1: they're just kind of talking about how they sort of 133 00:08:23,880 --> 00:08:28,520 Speaker 1: ostracized growing up because they were so tall. But going 134 00:08:28,560 --> 00:08:33,080 Speaker 1: back to these these end of chronologists, they essentially gave 135 00:08:33,720 --> 00:08:38,120 Speaker 1: these tall girls estrogen pills that they would take every 136 00:08:38,200 --> 00:08:41,600 Speaker 1: day because estrogen would stunt their growth. Because, like we 137 00:08:41,679 --> 00:08:45,360 Speaker 1: talked about in the male Height episode, the stuff that 138 00:08:45,440 --> 00:08:50,560 Speaker 1: makes guys so tall is tasterone. But thankfully, with the 139 00:08:50,640 --> 00:08:54,880 Speaker 1: advent of things like institutional review boards and upperment in 140 00:08:55,480 --> 00:09:03,600 Speaker 1: medical morals, yes medical ethics, that practice um went away, thankfully, 141 00:09:03,720 --> 00:09:09,640 Speaker 1: but the tall female stereotype has stuck around. I'd say, 142 00:09:09,720 --> 00:09:13,160 Speaker 1: I'm not at five nine, I'm not a super tall woman. 143 00:09:13,200 --> 00:09:16,640 Speaker 1: I don't feel unless I put on some some stilettos, 144 00:09:16,679 --> 00:09:20,960 Speaker 1: I don't feel I rarely feel awkwardly tall just when 145 00:09:21,000 --> 00:09:23,920 Speaker 1: I'm standing next to you. Yes, when you're in flats 146 00:09:23,920 --> 00:09:26,520 Speaker 1: and I am in heels, it is quite a sight 147 00:09:26,600 --> 00:09:30,600 Speaker 1: to see. But I mean, being tall isn't all bad 148 00:09:30,800 --> 00:09:33,480 Speaker 1: that there was no evidence on okay Cupid that tall 149 00:09:33,520 --> 00:09:38,559 Speaker 1: women still can can find a mate, right, Oh, absolutely 150 00:09:38,559 --> 00:09:46,679 Speaker 1: there was, Yes, speaking from experience, tall women can date successfully. Um. 151 00:09:46,840 --> 00:09:51,959 Speaker 1: But we talked about this okay Cupid trends blog post 152 00:09:52,160 --> 00:09:55,840 Speaker 1: on height and how it related to the number of 153 00:09:55,880 --> 00:09:59,440 Speaker 1: sex partners that people related and also how attractive they 154 00:09:59,480 --> 00:10:02,120 Speaker 1: were on the site, And we talked about the male 155 00:10:02,200 --> 00:10:04,360 Speaker 1: portion of it last time, and about how a lot 156 00:10:04,400 --> 00:10:07,199 Speaker 1: of guys lie about being um taller than they really are, 157 00:10:07,880 --> 00:10:10,280 Speaker 1: and for women, as you can imagine, the story is 158 00:10:10,480 --> 00:10:12,880 Speaker 1: a little bit different. It's not so much that women 159 00:10:12,920 --> 00:10:17,480 Speaker 1: are lying about their height, but a five four woman 160 00:10:17,600 --> 00:10:21,280 Speaker 1: on okay Cupid get sixty more contacts each year than 161 00:10:21,320 --> 00:10:28,760 Speaker 1: a six footer six footer um And nevertheless, on okay Cupid, 162 00:10:28,800 --> 00:10:31,079 Speaker 1: women who are five ten reported the highest number of 163 00:10:31,120 --> 00:10:34,600 Speaker 1: sexual partners. But at the same time, the blog post 164 00:10:34,640 --> 00:10:37,160 Speaker 1: did make a somewhat snarky at side, saying it was 165 00:10:37,160 --> 00:10:39,400 Speaker 1: a little they're like, well, maybe you know they're they 166 00:10:39,440 --> 00:10:43,160 Speaker 1: have these sexual partners because they're just desperate and taking 167 00:10:43,200 --> 00:10:45,400 Speaker 1: whatever they can get, whereas the short youth can just 168 00:10:45,600 --> 00:10:50,560 Speaker 1: pick and choose. Yeah, And to that I say, um, no, no. 169 00:10:51,840 --> 00:10:55,240 Speaker 1: But let's go away from Okay Cupid a little bit 170 00:10:55,280 --> 00:11:01,400 Speaker 1: and talk about evolutionary biology, because when you go into Google, uh, 171 00:11:01,440 --> 00:11:04,160 Speaker 1: the question that comes up for men, is our taller 172 00:11:04,160 --> 00:11:07,280 Speaker 1: men more attractive? And for women are shorter women more attractive? 173 00:11:08,040 --> 00:11:13,959 Speaker 1: And evolutionary biology might say yeah, yeah, they actually researchers 174 00:11:13,960 --> 00:11:16,840 Speaker 1: think that the height differences are going to stick around 175 00:11:16,960 --> 00:11:20,360 Speaker 1: because men tall men seem to go for short women. Now. 176 00:11:20,360 --> 00:11:23,120 Speaker 1: In the last episode, we also referenced a study of 177 00:11:23,120 --> 00:11:25,800 Speaker 1: ten thousand people born in the UK in a single 178 00:11:25,800 --> 00:11:29,840 Speaker 1: week in March. N and researchers then went back and 179 00:11:29,920 --> 00:11:35,120 Speaker 1: examined their life outcomes, and one of the findings was 180 00:11:35,200 --> 00:11:39,400 Speaker 1: that tall men were less likely to be child and 181 00:11:40,000 --> 00:11:44,200 Speaker 1: childless and single in adulthood, and on the flip side, 182 00:11:44,559 --> 00:11:51,119 Speaker 1: shorter women seemed to be the more sexually attractive among females. 183 00:11:51,600 --> 00:11:55,280 Speaker 1: And Dr Nettle, who was one of the main researchers, 184 00:11:55,559 --> 00:11:59,640 Speaker 1: said that maybe shorter women have a greater reproductive success 185 00:12:00,240 --> 00:12:07,959 Speaker 1: because their shortness might signal more fertility. Right, because tall 186 00:12:08,040 --> 00:12:11,200 Speaker 1: women that their height is perhaps a signal that they 187 00:12:11,280 --> 00:12:15,120 Speaker 1: had later a later onset of puberty. But at the 188 00:12:15,160 --> 00:12:19,120 Speaker 1: same time, in the New scientist Daniel Nettles, same guy 189 00:12:19,280 --> 00:12:23,880 Speaker 1: says he's not really sure why the shorter women, like 190 00:12:24,000 --> 00:12:26,600 Speaker 1: why men might prefer shorter women because he says, quote, 191 00:12:26,720 --> 00:12:29,800 Speaker 1: there's no evidence that shorter women can see more quickly 192 00:12:30,440 --> 00:12:35,040 Speaker 1: or are more fertile in a contemporary population. So Nettle 193 00:12:35,160 --> 00:12:38,520 Speaker 1: is talking about that. UM. Even though previous studies have 194 00:12:38,559 --> 00:12:43,120 Speaker 1: shown that smaller women are more likely to die in childbirth. UM, 195 00:12:43,280 --> 00:12:49,240 Speaker 1: people are still drawn to evolutionary cues and that shortness 196 00:12:49,400 --> 00:12:52,840 Speaker 1: might be some kind of fertility cue, even though, like 197 00:12:52,920 --> 00:12:57,920 Speaker 1: you said today, there's not the major fertility difference based 198 00:12:57,960 --> 00:13:01,720 Speaker 1: on height. Right. And I actually in one study that 199 00:13:02,160 --> 00:13:06,079 Speaker 1: now that women have more access to cesarean section that 200 00:13:06,400 --> 00:13:10,440 Speaker 1: more tall babies are being born and more small women 201 00:13:10,480 --> 00:13:14,480 Speaker 1: are actually surviving childbirth. Really, so yeah, no, no high 202 00:13:14,520 --> 00:13:17,680 Speaker 1: disparity going away anytime soon. Right. Yeah, they really don't 203 00:13:17,679 --> 00:13:21,080 Speaker 1: expect that to ever change. UM. But if we look 204 00:13:21,120 --> 00:13:25,040 Speaker 1: at just what people find attractive, UM, if they're asked 205 00:13:25,040 --> 00:13:29,040 Speaker 1: to rate the attractiveness of one woman compared to another 206 00:13:29,080 --> 00:13:35,000 Speaker 1: woman based on height. Here's one finding from Brunnel University. 207 00:13:35,440 --> 00:13:39,480 Speaker 1: They found that shorter, slimmer females with long, slender legs, 208 00:13:39,520 --> 00:13:46,200 Speaker 1: a curvy figure and large breasts, well I'm the most attractive. Sure, sure, 209 00:13:46,320 --> 00:13:49,400 Speaker 1: and give me Brad Pitt and Clive Owen together. They're 210 00:13:49,400 --> 00:13:52,720 Speaker 1: a little dash of Ryan Reynolds in there. Yeah, sure, yeah, 211 00:13:52,800 --> 00:13:57,680 Speaker 1: I mean, but it seems like though from that maybe, uh, 212 00:13:57,800 --> 00:14:01,280 Speaker 1: the ideal woman is on the middle of the spectrum. 213 00:14:01,320 --> 00:14:03,720 Speaker 1: You know, she's got the long lady's legs and the 214 00:14:03,800 --> 00:14:07,640 Speaker 1: shorter woman's Torso no, wait a second, that is not ideal. 215 00:14:07,679 --> 00:14:09,840 Speaker 1: That is actually my body type for Okay, I am 216 00:14:09,920 --> 00:14:12,800 Speaker 1: five for two I have. I was told by a 217 00:14:12,840 --> 00:14:15,360 Speaker 1: guy at one of those like wilderness outfitter places I 218 00:14:15,400 --> 00:14:18,040 Speaker 1: needed a pack of a pack and he gets me 219 00:14:18,080 --> 00:14:19,520 Speaker 1: a small one and he puts it on me, and 220 00:14:19,520 --> 00:14:22,200 Speaker 1: he's looking at me and he's like, this is weird. 221 00:14:22,560 --> 00:14:24,440 Speaker 1: Why isn't it fitting you right? And he's kind of 222 00:14:24,440 --> 00:14:27,040 Speaker 1: like adjusting it and shaking the pack so that it 223 00:14:27,040 --> 00:14:30,080 Speaker 1: fits me better. He goes, oh, I know what it is. 224 00:14:31,160 --> 00:14:33,840 Speaker 1: What he said, Oh, well, for your height, you have 225 00:14:33,960 --> 00:14:38,760 Speaker 1: really long legs but a really short torso, so it's 226 00:14:38,880 --> 00:14:43,040 Speaker 1: great your ideal Caroline. Well for having babies, maybe even 227 00:14:43,080 --> 00:14:45,960 Speaker 1: not for wearing a pack. No, but this is but 228 00:14:46,040 --> 00:14:49,080 Speaker 1: they were asked to. This is based on these three 229 00:14:49,160 --> 00:14:54,080 Speaker 1: D optical scans and people volunteers assessing how attractive the 230 00:14:54,120 --> 00:14:57,480 Speaker 1: bodies of the opposite sex were. And I mean, and 231 00:14:57,600 --> 00:15:01,320 Speaker 1: that's that's it. This isn't about having babies or fertility. 232 00:15:01,600 --> 00:15:05,080 Speaker 1: And a similar study of attractiveness using these body scans 233 00:15:05,080 --> 00:15:08,680 Speaker 1: people like to make to make body scans and have 234 00:15:08,840 --> 00:15:12,880 Speaker 1: other other folks rate the attractiveness. This involved Australian and 235 00:15:13,000 --> 00:15:16,200 Speaker 1: Hong Kong men and women rating the attractiveness of body 236 00:15:16,240 --> 00:15:19,160 Speaker 1: scans of Chinese women. And they did that because they 237 00:15:19,160 --> 00:15:21,800 Speaker 1: wanted to to try to eliminate they wanted to control 238 00:15:21,880 --> 00:15:25,840 Speaker 1: for any type of cultural bias for a specific height. 239 00:15:26,440 --> 00:15:28,760 Speaker 1: And in that study they found that scans of taller 240 00:15:28,800 --> 00:15:32,760 Speaker 1: women who had longer arms were also rated highly. But 241 00:15:33,080 --> 00:15:37,280 Speaker 1: in this one leg size, unlike the Brunell University study 242 00:15:37,280 --> 00:15:41,040 Speaker 1: that favored the long slender legs, legs size did not 243 00:15:41,240 --> 00:15:47,280 Speaker 1: contribute significantly to the ratings. So who knows, as long 244 00:15:47,320 --> 00:15:49,720 Speaker 1: as you have slender arms, slender arms. Yeah, that's that's 245 00:15:49,720 --> 00:15:52,920 Speaker 1: what it is, Michelle Obama arms. Maybe that's why we're 246 00:15:52,960 --> 00:15:57,560 Speaker 1: so obsessed with Michelle Obama's arms, because that's really the 247 00:15:57,600 --> 00:16:02,960 Speaker 1: one yeah, the one cultural strand throughout she and her cardigans, 248 00:16:03,320 --> 00:16:08,080 Speaker 1: he cardigans. Um. But one question that was burning in 249 00:16:08,440 --> 00:16:13,200 Speaker 1: my brain was evolutionary biology is telling us, you know, 250 00:16:13,440 --> 00:16:18,560 Speaker 1: shortness and female signals fertility, which might signal heightened sexual attraction. 251 00:16:18,560 --> 00:16:21,680 Speaker 1: At least among tall men. They seem to prefer shorter women. Uh. 252 00:16:21,720 --> 00:16:25,680 Speaker 1: These other these body scan studies seemed to say that 253 00:16:26,200 --> 00:16:30,040 Speaker 1: women and people prefer the hour glass, very Marilyn Monroe 254 00:16:30,200 --> 00:16:36,080 Speaker 1: esque shape. But what about the tall rail thin model conundrum. 255 00:16:36,200 --> 00:16:39,120 Speaker 1: You mean those walking clothes hangers. Yes, it seems like 256 00:16:39,200 --> 00:16:41,680 Speaker 1: that's kind of in in Western culture, at least, that 257 00:16:41,840 --> 00:16:45,960 Speaker 1: is held up as some kind of um ideal physique 258 00:16:46,120 --> 00:16:49,880 Speaker 1: for women. Yeah. Well, there's actually a Ford models blog 259 00:16:50,160 --> 00:16:54,160 Speaker 1: on my space. Someone is still in my space. Um, 260 00:16:54,360 --> 00:16:58,040 Speaker 1: and and there's basically saying that women are expected to 261 00:16:58,120 --> 00:17:00,280 Speaker 1: be walking hangers. I didn't just pull that out of 262 00:17:00,320 --> 00:17:04,280 Speaker 1: thin air. Um. But that body type helps the clothes 263 00:17:04,359 --> 00:17:08,000 Speaker 1: to be the focus, You're not distracted by their feminine wiles. 264 00:17:08,640 --> 00:17:10,399 Speaker 1: You know, you're looking at the clothes and they're just 265 00:17:10,480 --> 00:17:14,320 Speaker 1: hanging kind of straight and flat. So that's it. So 266 00:17:14,320 --> 00:17:16,919 Speaker 1: so from what I'm getting for all of this, Whereas 267 00:17:16,960 --> 00:17:19,280 Speaker 1: in the last podcast, we were able to establish from 268 00:17:19,280 --> 00:17:23,359 Speaker 1: many studies that tallman seem to have a lot of 269 00:17:23,440 --> 00:17:26,600 Speaker 1: luck in terms of sexual attraction success, health, height all 270 00:17:26,640 --> 00:17:30,680 Speaker 1: that women, it's all over the place. We can't figure 271 00:17:30,720 --> 00:17:34,680 Speaker 1: out whether, you know, there's the tall model ideal, there's 272 00:17:34,720 --> 00:17:39,879 Speaker 1: the Marilyn Monroe kind of curvaceous Beyonce, Jennifer Lopez like, 273 00:17:40,040 --> 00:17:44,840 Speaker 1: I'm my I'm making our blast gestures with my gesticulations 274 00:17:44,840 --> 00:17:46,320 Speaker 1: with my hands for those of me not in the 275 00:17:46,760 --> 00:17:51,439 Speaker 1: in the studio right now. Uh, And we we have 276 00:17:51,520 --> 00:17:56,480 Speaker 1: people liking long arms, legs maybe maybe not. Maybe you 277 00:17:56,600 --> 00:17:59,199 Speaker 1: like legs, maybe you don't. Yeah. The only thing that 278 00:17:59,240 --> 00:18:02,280 Speaker 1: we can really determined from all of this is that 279 00:18:02,800 --> 00:18:06,840 Speaker 1: tall women might be at a greater risk for developing cancer. Yeah. 280 00:18:07,280 --> 00:18:09,240 Speaker 1: So I don't know why why. I'm just I'm now 281 00:18:09,280 --> 00:18:12,000 Speaker 1: curious to know why that is. Why there isn't a more, 282 00:18:12,240 --> 00:18:17,040 Speaker 1: um more sustinct answer to the at least for the 283 00:18:17,080 --> 00:18:20,600 Speaker 1: sexual attractiveness part. I assumed that the evolutionary biologists would 284 00:18:20,600 --> 00:18:23,520 Speaker 1: be like, oh, yeah, it's it's short swear. They didn't 285 00:18:23,560 --> 00:18:25,920 Speaker 1: seem to have a definite answer as to why men 286 00:18:26,119 --> 00:18:29,680 Speaker 1: men prefer short women or women. Short women are perceived 287 00:18:29,680 --> 00:18:32,040 Speaker 1: as more fertile, yeah, or if or if short women 288 00:18:32,080 --> 00:18:35,679 Speaker 1: even are more preferable. So I don't know. Maybe the 289 00:18:35,720 --> 00:18:38,679 Speaker 1: takeaway is Tom, and have all the luck and just 290 00:18:38,840 --> 00:18:44,560 Speaker 1: women awesome. You know you're great at any at any height, 291 00:18:44,640 --> 00:18:46,719 Speaker 1: any size, and and love your body the way it 292 00:18:46,800 --> 00:18:54,000 Speaker 1: is because gals, um, we're attractive universally. Yeah, that my 293 00:18:54,000 --> 00:18:58,920 Speaker 1: my study conclusion. So with that, I'd like to open 294 00:18:58,920 --> 00:19:02,040 Speaker 1: it up to listeners. Maybe you can help us solve 295 00:19:02,240 --> 00:19:04,959 Speaker 1: this puzzle tall women out there, let us know your 296 00:19:05,000 --> 00:19:08,160 Speaker 1: thoughts too, though, Um, is it is? It? Is there 297 00:19:08,400 --> 00:19:11,879 Speaker 1: something to this tall female stereotype. Has anyone ever tried 298 00:19:11,960 --> 00:19:15,119 Speaker 1: to make you seem less tall? Have people told you 299 00:19:15,119 --> 00:19:17,480 Speaker 1: to stop wearing high heels? Yeah? I do think it's 300 00:19:17,520 --> 00:19:21,520 Speaker 1: interesting that if you look at pictures of Carla Berney 301 00:19:21,560 --> 00:19:26,320 Speaker 1: next to Sarkozy, she is often in flats. She is, 302 00:19:26,359 --> 00:19:28,119 Speaker 1: and she's still taller than him that I know, But 303 00:19:28,160 --> 00:19:32,000 Speaker 1: that's probably why she's in flats anyway. Right in, If 304 00:19:32,040 --> 00:19:34,639 Speaker 1: you have any thoughts on height men women. All of 305 00:19:34,640 --> 00:19:37,000 Speaker 1: that are address is mom stuff at how stuff works 306 00:19:37,000 --> 00:19:40,480 Speaker 1: dot com and speaking of which I have an email 307 00:19:40,800 --> 00:19:46,720 Speaker 1: here in response to our episode on male birth control 308 00:19:46,920 --> 00:19:50,600 Speaker 1: is happy, It's not that happy, um, And I just 309 00:19:50,760 --> 00:19:54,000 Speaker 1: you know, I appreciate all of these perspectives because you know, 310 00:19:54,040 --> 00:19:59,000 Speaker 1: we're women talking about male birth control, and uh not, 311 00:19:59,000 --> 00:20:00,840 Speaker 1: not all the guys agree with what we have to say. 312 00:20:01,520 --> 00:20:06,359 Speaker 1: For instance, Brian wrote in really taking issue with the 313 00:20:06,400 --> 00:20:09,119 Speaker 1: notion that men could not be relied upon to take, 314 00:20:10,080 --> 00:20:12,880 Speaker 1: say in oral contraceptive like a lot of women take. 315 00:20:12,920 --> 00:20:15,800 Speaker 1: He said, you insinuated several times that men might not 316 00:20:15,840 --> 00:20:18,840 Speaker 1: be trustworthy to take a pill every day. Any evidence 317 00:20:18,880 --> 00:20:21,680 Speaker 1: that men might be less trustworthy than women to take 318 00:20:21,720 --> 00:20:24,960 Speaker 1: a pill is going going to be pretty flimsy. Men 319 00:20:25,000 --> 00:20:27,560 Speaker 1: have to trust their wives slash girlfriends to take the 320 00:20:27,600 --> 00:20:30,720 Speaker 1: pill now, and I'm sure you know they sometimes forget, 321 00:20:31,320 --> 00:20:34,400 Speaker 1: true and sometimes they even forget and don't tell their 322 00:20:34,480 --> 00:20:38,720 Speaker 1: partner whoops, were having a baby. Nothing different if men 323 00:20:38,840 --> 00:20:42,000 Speaker 1: are taking the pill and there might be and that 324 00:20:42,040 --> 00:20:44,400 Speaker 1: there might be an outbreak of unexpected pregnancies or even 325 00:20:44,440 --> 00:20:47,919 Speaker 1: STDs because of irresponsible men on birth control. This is 326 00:20:47,960 --> 00:20:51,520 Speaker 1: exactly what men deal with now. When sex presents itself, 327 00:20:51,560 --> 00:20:53,960 Speaker 1: whether a one night stand or during the course of relationship, 328 00:20:54,040 --> 00:20:56,800 Speaker 1: men have to decide how trustworthy the woman is. Again, 329 00:20:57,000 --> 00:21:00,560 Speaker 1: nothing different if men are taking the pill practice safe 330 00:21:00,560 --> 00:21:04,160 Speaker 1: sex indeed, um, And we also have an email here 331 00:21:04,760 --> 00:21:10,200 Speaker 1: from Elizabeth Well Beth as she goes by with um 332 00:21:10,359 --> 00:21:12,520 Speaker 1: a request. So I want to open up to other 333 00:21:12,600 --> 00:21:15,080 Speaker 1: listeners as well. Right, that's right. It's one thing that 334 00:21:15,160 --> 00:21:19,280 Speaker 1: crosses my mind during almost every episode is LGBT recognition. 335 00:21:19,440 --> 00:21:21,600 Speaker 1: Many of the examples brought up in your podcast about 336 00:21:21,640 --> 00:21:25,159 Speaker 1: heterosexual relationships. I realized that this is probably because the 337 00:21:25,200 --> 00:21:28,199 Speaker 1: studies you're citing are about heterosexual men and women, but 338 00:21:28,240 --> 00:21:30,600 Speaker 1: it can feel a bit alienating at times. Maybe a 339 00:21:30,600 --> 00:21:34,159 Speaker 1: special LGBT focus podcast, or try seeking out research that 340 00:21:34,200 --> 00:21:37,679 Speaker 1: has been done that includes LGBT people. Yeah. And I 341 00:21:37,720 --> 00:21:40,920 Speaker 1: wrote Beth back and said, you are absolutely right, Um, 342 00:21:40,920 --> 00:21:43,040 Speaker 1: as we bring up a lot of times in the podcast, Uh, 343 00:21:43,240 --> 00:21:46,240 Speaker 1: the focus of a lot of these relationships studies are 344 00:21:46,320 --> 00:21:49,400 Speaker 1: on heterosexuals. And I just wanted to open this up 345 00:21:49,400 --> 00:21:54,240 Speaker 1: to listeners. If there is an LGBT related topic, narrow 346 00:21:54,240 --> 00:21:57,879 Speaker 1: topic that you would like us to focus on, let 347 00:21:58,000 --> 00:22:00,080 Speaker 1: us know, because we are more than happy to you 348 00:22:00,720 --> 00:22:03,800 Speaker 1: research that it's not nothing intentional that we're that we're 349 00:22:03,800 --> 00:22:08,720 Speaker 1: not talking about more LGBT LGBT issues. So with all 350 00:22:08,760 --> 00:22:11,159 Speaker 1: that said again, our email addresses mom Stuff at how 351 00:22:11,240 --> 00:22:13,800 Speaker 1: stuff Works dot com. You can also find us over 352 00:22:14,240 --> 00:22:16,520 Speaker 1: on Facebook, where we would love to see leave a 353 00:22:16,520 --> 00:22:19,040 Speaker 1: comment like us all that good stuff, and you can 354 00:22:19,040 --> 00:22:23,480 Speaker 1: follow us on Twitter at mom Stuff Podcast. And then finally, 355 00:22:23,600 --> 00:22:26,080 Speaker 1: during the week you can read our blog It's stuff 356 00:22:26,119 --> 00:22:32,720 Speaker 1: Mom Never told You from how Stuff Works dot com. 357 00:22:32,880 --> 00:22:35,439 Speaker 1: Be sure to check out our new video podcast, Stuff 358 00:22:35,480 --> 00:22:38,119 Speaker 1: from the Future. Join how Stuff Work staff as we 359 00:22:38,160 --> 00:22:42,480 Speaker 1: explore the most promising and perplexing possibilities of tomorrow the 360 00:22:42,520 --> 00:22:45,000 Speaker 1: house Stuff Works. I frone app has a ride. Download 361 00:22:45,040 --> 00:22:52,600 Speaker 1: it today on iTunes, brought to you by the reinvented 362 00:22:52,640 --> 00:22:55,360 Speaker 1: two thousand twelve Camray. It's ready, Are you