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 --> 00:00:17,400 Speaker 1: From house top boards dot Com. Hey there, and welcome 4 00:00:17,440 --> 00:00:20,880 Speaker 1: to the podcast. This is Smiley and I'm Kristen. And Kristen. 5 00:00:20,920 --> 00:00:24,480 Speaker 1: I was thinking of an anecdote today. Uh, one time Christmas. 6 00:00:24,520 --> 00:00:26,840 Speaker 1: My family is sitting around playing this card game and 7 00:00:26,880 --> 00:00:29,200 Speaker 1: redraw Card. It's got like a deep question and it 8 00:00:29,320 --> 00:00:34,599 Speaker 1: helps you learn things about other people. It was very meaningful, 9 00:00:34,640 --> 00:00:36,720 Speaker 1: except my family is a little sarcastic. So when the 10 00:00:36,840 --> 00:00:41,839 Speaker 1: question what do you like least about your gender came up, 11 00:00:42,840 --> 00:00:45,520 Speaker 1: my brother responded that the thing he liked least about 12 00:00:45,520 --> 00:00:48,320 Speaker 1: being male was that he always had to walk to 13 00:00:48,400 --> 00:00:51,239 Speaker 1: the back of department stores to get to the men's department. 14 00:00:51,720 --> 00:00:55,520 Speaker 1: That was his biggest complaint. Wow, yeah, well, life must 15 00:00:55,560 --> 00:00:57,880 Speaker 1: be good for the Edmunds brothers. But I have to 16 00:00:57,880 --> 00:00:59,800 Speaker 1: say when he said it, there were these like nods 17 00:00:59,800 --> 00:01:02,240 Speaker 1: of recognition from all the guys in the room, like, yeah, 18 00:01:02,280 --> 00:01:03,880 Speaker 1: it is kind of a bummer to have to walk 19 00:01:03,920 --> 00:01:07,000 Speaker 1: to the back of the department store. But I was thinking, 20 00:01:07,000 --> 00:01:11,679 Speaker 1: at least when he gets there, shopping is easy. Oh, yeah, 21 00:01:11,760 --> 00:01:14,080 Speaker 1: they know, they just have to know they're whatever inch 22 00:01:14,280 --> 00:01:17,959 Speaker 1: inch size, waist size, leg links. It seems like two numbers, 23 00:01:18,000 --> 00:01:20,720 Speaker 1: like thirty two by thirty six. You know, I don't 24 00:01:20,720 --> 00:01:23,280 Speaker 1: know what those mean, but it seems very standardized. Yeah, 25 00:01:23,319 --> 00:01:25,360 Speaker 1: whereas if we were to walk into a department store 26 00:01:25,440 --> 00:01:29,560 Speaker 1: right now, pick out five different brands of jeans, same size, 27 00:01:29,760 --> 00:01:32,480 Speaker 1: guarantee you right now, maybe one of those would fit. 28 00:01:32,520 --> 00:01:36,720 Speaker 1: Well yeah, oh maybe maybe it's a long time for 29 00:01:36,800 --> 00:01:39,200 Speaker 1: girls to shop. Yeah. Men and women can both relate 30 00:01:39,240 --> 00:01:42,080 Speaker 1: to this, women who obviously are buying clothes themselves and 31 00:01:42,120 --> 00:01:48,800 Speaker 1: men who have valiantly made the attempt to buy clothes 32 00:01:48,840 --> 00:01:51,560 Speaker 1: for women. Um, it is. It is hard. It is 33 00:01:51,600 --> 00:01:56,360 Speaker 1: a strange and confusing world of numbers and sizes that 34 00:01:56,840 --> 00:01:58,560 Speaker 1: just really don't add up. They don't add up. You 35 00:01:58,680 --> 00:02:01,040 Speaker 1: might be, you know, a size six in one store, 36 00:02:01,120 --> 00:02:04,120 Speaker 1: size eight from another store, maybe even the same store. 37 00:02:04,160 --> 00:02:06,120 Speaker 1: You have to buy like three different sizes. I don't 38 00:02:06,120 --> 00:02:08,239 Speaker 1: know what size and nam anymore. I just I just 39 00:02:08,280 --> 00:02:10,079 Speaker 1: try to get into a zen state before I walk 40 00:02:10,120 --> 00:02:13,000 Speaker 1: into a store and just let it take me. Just 41 00:02:13,040 --> 00:02:14,919 Speaker 1: go in there with this main clothes you can handle 42 00:02:15,680 --> 00:02:18,600 Speaker 1: and interesting enough. Christ and I when we were researching 43 00:02:18,680 --> 00:02:22,359 Speaker 1: women's clothing sizes. Both took a survey that kind of 44 00:02:22,480 --> 00:02:24,720 Speaker 1: question like what kind of fits we liked, kind of 45 00:02:24,720 --> 00:02:27,680 Speaker 1: styles we liked, and Kristen, You've got like sixty five 46 00:02:27,800 --> 00:02:31,040 Speaker 1: possible gene styles would fit you. Yeah, sixty five genes. 47 00:02:31,080 --> 00:02:32,680 Speaker 1: It was fine, Like it's like, oh, yeah, I answer 48 00:02:32,680 --> 00:02:35,880 Speaker 1: all these questions, We'll find the perfect pair or sixty 49 00:02:35,960 --> 00:02:39,040 Speaker 1: five pairs of genes. Yeah, I got seventy two gene results. 50 00:02:39,080 --> 00:02:41,680 Speaker 1: There's no way I'm trying on seventy two genes not 51 00:02:41,720 --> 00:02:43,760 Speaker 1: gonna happen. So let's get to the bottom of this. 52 00:02:44,240 --> 00:02:47,720 Speaker 1: Why are women's clothing size is so hard to decipher? 53 00:02:48,000 --> 00:02:50,000 Speaker 1: Why are they why they started to figure out why 54 00:02:50,000 --> 00:02:52,000 Speaker 1: can't it be like the good old days, by which 55 00:02:52,000 --> 00:02:55,280 Speaker 1: I mean the priest Civil War days. Yes, I don't 56 00:02:55,320 --> 00:02:57,160 Speaker 1: know if I call them the good old days, but 57 00:02:57,520 --> 00:02:59,680 Speaker 1: but yes, the Civil War does have a lot to 58 00:02:59,760 --> 00:03:04,200 Speaker 1: do with the standardization of clothing sizes. Before then, a 59 00:03:04,200 --> 00:03:06,800 Speaker 1: lot of clothes were either made in the home or 60 00:03:06,840 --> 00:03:09,280 Speaker 1: if you were wealthy enough, you could have a tailor 61 00:03:09,760 --> 00:03:14,360 Speaker 1: make clothes for you. But with the Civil War, soldiers 62 00:03:14,400 --> 00:03:19,480 Speaker 1: needed uniforms obviously, and home production couldn't exactly keep up 63 00:03:19,480 --> 00:03:22,440 Speaker 1: with demand, and so then you start having the mass 64 00:03:22,440 --> 00:03:28,000 Speaker 1: production of uniforms, which then led to standardized standardization of 65 00:03:28,080 --> 00:03:30,280 Speaker 1: men's sizes because they're like, well, if this would be 66 00:03:30,280 --> 00:03:32,520 Speaker 1: a lot easier if we could just kind of you know, 67 00:03:32,760 --> 00:03:36,280 Speaker 1: stamp out different sizes of men's uniforms and send them off. Yeah, 68 00:03:36,320 --> 00:03:38,760 Speaker 1: they took all that data. After the Civil War, men 69 00:03:38,800 --> 00:03:42,240 Speaker 1: could buy ready made clothes. Women didn't follow until about 70 00:03:42,240 --> 00:03:45,800 Speaker 1: the nineteen twenties, and that's when you know, industrious industrialization 71 00:03:45,920 --> 00:03:49,400 Speaker 1: excuse me, was picking up, and you know, companies started 72 00:03:49,400 --> 00:03:51,720 Speaker 1: trying to appeal to women, being like, by this dress, 73 00:03:51,720 --> 00:03:53,920 Speaker 1: it's already made for you. Yeah, you've got the growing 74 00:03:54,040 --> 00:03:58,040 Speaker 1: urban middle class that that's able to afford more of 75 00:03:58,080 --> 00:04:02,640 Speaker 1: these clothes. Just you know, advertising is starting to take off. 76 00:04:02,720 --> 00:04:06,840 Speaker 1: All of these forces combining to to kick off the 77 00:04:06,840 --> 00:04:10,000 Speaker 1: whole retail industry. But they were making all these ready 78 00:04:10,040 --> 00:04:12,720 Speaker 1: make clothes with absolutely no data about women's bodies. So 79 00:04:12,760 --> 00:04:15,440 Speaker 1: you would send off for your dress, they'd mail it back, 80 00:04:15,480 --> 00:04:17,719 Speaker 1: it would it would look like you know, a burlap 81 00:04:17,760 --> 00:04:20,840 Speaker 1: sack on you, not necessarily in texture, which is kind 82 00:04:20,880 --> 00:04:22,400 Speaker 1: of how a lot of clothes I put on now 83 00:04:22,440 --> 00:04:25,560 Speaker 1: that I think are my size look on me but 84 00:04:25,680 --> 00:04:32,640 Speaker 1: burn clothes. So between nineteen and nineteen fifty two, the 85 00:04:32,720 --> 00:04:36,080 Speaker 1: Mail Order Association of America in conjunction with the National 86 00:04:36,120 --> 00:04:42,400 Speaker 1: Bureau of Standards, organized this massive survey of women's measurements 87 00:04:43,080 --> 00:04:45,240 Speaker 1: and they collected all of the data. I think it 88 00:04:45,279 --> 00:04:49,640 Speaker 1: was sixteen thousand women that participated in this study, uh, 89 00:04:49,680 --> 00:04:54,120 Speaker 1: to figure out what exactly women's clothing sizes were. Yeah, 90 00:04:54,120 --> 00:04:57,000 Speaker 1: and they also took some data during World War Two 91 00:04:57,240 --> 00:05:00,000 Speaker 1: from what the Women's Army Corps. They used the volunteer 92 00:05:00,080 --> 00:05:03,000 Speaker 1: years from that organization to also you know, feed into 93 00:05:03,000 --> 00:05:05,840 Speaker 1: the data. But regardless where the data came from, it 94 00:05:05,880 --> 00:05:11,080 Speaker 1: was mostly from young Caucasian women, not very ethnically diverse results, 95 00:05:11,480 --> 00:05:14,640 Speaker 1: not taking into account how your body changes as you age. 96 00:05:14,800 --> 00:05:18,280 Speaker 1: It was sort of these very small subsets of women 97 00:05:18,279 --> 00:05:21,600 Speaker 1: who determined the original standard sizes, right, but nevertheless they 98 00:05:21,600 --> 00:05:25,880 Speaker 1: would take They took fifty nine measurements from each volunteer 99 00:05:26,360 --> 00:05:29,400 Speaker 1: and the studies were published um by the U. S 100 00:05:29,480 --> 00:05:32,800 Speaker 1: d A under the title Women's Measurements for Garments and 101 00:05:32,960 --> 00:05:36,800 Speaker 1: Pattern Construction, and those are still used today. If you're 102 00:05:36,839 --> 00:05:39,120 Speaker 1: a sewer, patterns that you buy in the store still 103 00:05:39,200 --> 00:05:42,520 Speaker 1: use those original sizes, which go from eight to thirty eight. 104 00:05:42,960 --> 00:05:46,080 Speaker 1: But one thing that you'll notice if and I I can, 105 00:05:46,200 --> 00:05:49,600 Speaker 1: I can speak personally to this. My mom was a seamstress, 106 00:05:49,640 --> 00:05:52,640 Speaker 1: still is a seamstress, and she would make dresses for 107 00:05:52,800 --> 00:05:56,320 Speaker 1: me and I remember we a couple of years ago. 108 00:05:56,520 --> 00:05:58,800 Speaker 1: I wanted I wanted to dress, and we decided that 109 00:05:58,839 --> 00:06:00,680 Speaker 1: we would we would work on one together, and so 110 00:06:00,720 --> 00:06:04,240 Speaker 1: we went to the store and picking out the pattern. 111 00:06:04,279 --> 00:06:08,240 Speaker 1: Finding the right size. Pattern was slightly traumatic because since 112 00:06:08,320 --> 00:06:12,960 Speaker 1: it's based on these old body measurements, I had to 113 00:06:12,960 --> 00:06:15,120 Speaker 1: go up a few sizes than I normally would. You're 114 00:06:15,120 --> 00:06:18,520 Speaker 1: wearing a thirty eight. Yeah, I wasn't. I wasn't very honestly, 115 00:06:18,600 --> 00:06:20,599 Speaker 1: wasn't very happy about it. But it's because, like you said, 116 00:06:21,160 --> 00:06:23,960 Speaker 1: it's really just patterns that are that follow these standards now, 117 00:06:24,000 --> 00:06:26,240 Speaker 1: because if you walk into a store an eight back 118 00:06:26,279 --> 00:06:29,680 Speaker 1: in nine certainly isn't the eight that you'll find today. 119 00:06:30,080 --> 00:06:32,520 Speaker 1: And the very reason that happened is probably because of 120 00:06:32,560 --> 00:06:35,400 Speaker 1: how you felt when you bought that pattern for your dress. 121 00:06:35,480 --> 00:06:38,360 Speaker 1: Is it made you feel bad about a number, and 122 00:06:38,440 --> 00:06:40,960 Speaker 1: so you know, brands figured out that women don't want 123 00:06:41,000 --> 00:06:44,159 Speaker 1: to buy clothing that's really high up on the scale. So, 124 00:06:44,279 --> 00:06:46,840 Speaker 1: as Kristen said, what was a size eight may now 125 00:06:46,880 --> 00:06:49,960 Speaker 1: be a size zero simply because people have figured out 126 00:06:50,000 --> 00:06:52,800 Speaker 1: that women are vain about what size they are, right, 127 00:06:52,839 --> 00:06:55,360 Speaker 1: And I think what you're referring to is vanity sizing. 128 00:06:55,440 --> 00:06:57,480 Speaker 1: Vanity sizing, and it's it's sort of a hot topic 129 00:06:57,480 --> 00:06:59,960 Speaker 1: of debate in the fashion world. I've read some arguments 130 00:07:00,000 --> 00:07:02,120 Speaker 1: this week that people who say it doesn't exist are 131 00:07:02,120 --> 00:07:04,760 Speaker 1: the people who say there's no way it doesn't exist 132 00:07:04,800 --> 00:07:09,320 Speaker 1: when their stores they're selling size zero's size like zero zero. Yeah, 133 00:07:09,400 --> 00:07:12,840 Speaker 1: it's small. There's a definite trend. I mean, according to 134 00:07:12,840 --> 00:07:15,960 Speaker 1: an article on msnbc dot com, a size eight in 135 00:07:16,080 --> 00:07:20,000 Speaker 1: nineteen fifty translated to a size four in the nineteen seventies, 136 00:07:20,040 --> 00:07:23,200 Speaker 1: and today that same size eight is a double zero, 137 00:07:23,680 --> 00:07:25,920 Speaker 1: which is kind of hard to believe when you consider 138 00:07:25,920 --> 00:07:29,040 Speaker 1: a statistic UH from the U. S Department of Health 139 00:07:29,040 --> 00:07:32,240 Speaker 1: and Human Services, as reported in Real Simple magazine, looked 140 00:07:32,280 --> 00:07:35,040 Speaker 1: at women from nineteen sixty two to two thousand and two, 141 00:07:35,280 --> 00:07:38,080 Speaker 1: and their height had gone up one inch and their 142 00:07:38,080 --> 00:07:40,360 Speaker 1: weight had gone up more than twenty four pounds. So 143 00:07:40,440 --> 00:07:43,400 Speaker 1: we're somehow getting bigger and our clothes are getting smaller. Right. 144 00:07:43,440 --> 00:07:48,120 Speaker 1: I think the average woman's size today is a fourteen. Yeah, 145 00:07:48,160 --> 00:07:51,120 Speaker 1: Whereas it used to be the eight was the was 146 00:07:51,160 --> 00:07:54,040 Speaker 1: considered the the average average size. But I guarantee you 147 00:07:54,080 --> 00:07:56,040 Speaker 1: if you try to go vintage shopping and you put 148 00:07:56,040 --> 00:07:59,000 Speaker 1: on an eight, uh, it's gonna be tight. But it's 149 00:07:59,040 --> 00:08:02,080 Speaker 1: interesting you mentioned the size of eight, Kristen, because we're 150 00:08:02,080 --> 00:08:06,520 Speaker 1: reading about how close our size today and manufacturers work 151 00:08:06,560 --> 00:08:08,600 Speaker 1: off the assumption that eight is sort of the midpoint, 152 00:08:08,600 --> 00:08:11,000 Speaker 1: despite the fact that, as you say, it's probably closer 153 00:08:11,040 --> 00:08:15,080 Speaker 1: to fourteen, right, Molly. According to Tim Gunn of Project 154 00:08:15,200 --> 00:08:20,000 Speaker 1: Runway Fame, uh, the process for even designing a woman's 155 00:08:20,040 --> 00:08:22,720 Speaker 1: garment starts with the designer making a sketch of the 156 00:08:22,760 --> 00:08:28,200 Speaker 1: idea and then uh, they enlist a quote unquote fit model, 157 00:08:28,240 --> 00:08:33,199 Speaker 1: who is a person who represents the company's ideal midpoint size, 158 00:08:33,240 --> 00:08:36,760 Speaker 1: which is, like you said, that size eight. But this 159 00:08:36,800 --> 00:08:40,760 Speaker 1: is where it might get tricky because different designers might 160 00:08:40,880 --> 00:08:45,240 Speaker 1: use a different silhouette. Some fit models might have, you know, 161 00:08:46,000 --> 00:08:50,640 Speaker 1: broader shoulders or narrower hips, or larger thighs, whatever, whatever 162 00:08:50,640 --> 00:08:53,480 Speaker 1: it is. Because each designer has an idea of how 163 00:08:53,520 --> 00:08:57,120 Speaker 1: they want their garments to look on our bodies. So 164 00:08:57,200 --> 00:09:00,439 Speaker 1: that's why you you still get variations even among the 165 00:09:00,480 --> 00:09:03,480 Speaker 1: fit size eight. Right. And you know, because these women 166 00:09:03,520 --> 00:09:05,400 Speaker 1: their job is to be a size eight, they may 167 00:09:05,400 --> 00:09:07,559 Speaker 1: not be a size eight like a real world women. 168 00:09:07,679 --> 00:09:10,360 Speaker 1: A real world woman is a size eight, right, because 169 00:09:10,360 --> 00:09:12,760 Speaker 1: you could walk into any number of stores in the 170 00:09:12,760 --> 00:09:16,200 Speaker 1: size aid could actually fit all different sizes of them. 171 00:09:16,280 --> 00:09:18,520 Speaker 1: And but as you say, the designers do care how 172 00:09:18,559 --> 00:09:21,400 Speaker 1: their clothes look, which is why I'm guessing. I mean, 173 00:09:21,400 --> 00:09:23,520 Speaker 1: I don't want to point any fingers, but I think 174 00:09:23,559 --> 00:09:25,480 Speaker 1: that the designers seem to care more about how the 175 00:09:25,520 --> 00:09:28,280 Speaker 1: clothes look for the smaller sizes, and then they just 176 00:09:28,360 --> 00:09:31,640 Speaker 1: kind of multiply up for the heavier sizes. Yeah, they 177 00:09:31,640 --> 00:09:34,280 Speaker 1: try to do everything in uh in proportion, like as 178 00:09:34,400 --> 00:09:38,120 Speaker 1: the as the waiste gets larger than the arms get longer. 179 00:09:38,160 --> 00:09:41,720 Speaker 1: But it's really not even know, Yeah, that's not how 180 00:09:41,760 --> 00:09:46,280 Speaker 1: our our bodies grow. So now today we have this 181 00:09:47,440 --> 00:09:51,240 Speaker 1: situation where sizes are just all over the place, and 182 00:09:51,640 --> 00:09:55,199 Speaker 1: some governments want to do something about it. Yeah, this 183 00:09:55,280 --> 00:09:58,199 Speaker 1: is a time and we should be modeling Spain. Yeah, 184 00:09:58,280 --> 00:10:02,560 Speaker 1: Spain has really can taking the lead in this women's 185 00:10:02,600 --> 00:10:05,920 Speaker 1: clothing size standardization because if you remember, I believe it 186 00:10:05,960 --> 00:10:09,800 Speaker 1: was in two thousand seven, Spain actually banned um extremely 187 00:10:10,040 --> 00:10:13,319 Speaker 1: thin models from walking the catwalk in there in their 188 00:10:13,400 --> 00:10:16,040 Speaker 1: fashion week, and the Minister of Health then took it 189 00:10:16,160 --> 00:10:19,480 Speaker 1: one step further by calling for the standardization of women's 190 00:10:19,480 --> 00:10:25,360 Speaker 1: clothing sizes based on these real world female measurements because 191 00:10:25,679 --> 00:10:30,400 Speaker 1: he thought that it reflected poorly on or promoted poor 192 00:10:30,440 --> 00:10:33,720 Speaker 1: body image for younger consumers especially, and he was calling 193 00:10:33,760 --> 00:10:37,199 Speaker 1: for this not only from mass market retailers but also 194 00:10:37,440 --> 00:10:40,240 Speaker 1: for the smaller designers as well, so that an eight 195 00:10:40,360 --> 00:10:43,240 Speaker 1: isn't eight, isn't eight, no matter where you shop. So 196 00:10:43,320 --> 00:10:46,280 Speaker 1: it'll be interesting to see how how that actually plays out. 197 00:10:46,520 --> 00:10:48,920 Speaker 1: And there have also been efforts in the US and 198 00:10:48,960 --> 00:10:52,760 Speaker 1: the UK as well, Molly too kind of revamp the 199 00:10:52,760 --> 00:10:54,960 Speaker 1: the initial survey that we were talking about that took 200 00:10:54,960 --> 00:11:00,200 Speaker 1: place um in at the mid century to update those 201 00:11:00,200 --> 00:11:03,160 Speaker 1: clothing sizes because, like you said, it was mostly Caucasian women, 202 00:11:03,200 --> 00:11:06,360 Speaker 1: which is not representative of the population. Yeah, and you 203 00:11:06,360 --> 00:11:10,800 Speaker 1: know what's cool about this, Christen, They used scanners. Scanners, yes, 204 00:11:10,880 --> 00:11:14,520 Speaker 1: full body scanners, Like there's this company h they have 205 00:11:14,720 --> 00:11:18,000 Speaker 1: what's it called the T two t TC two TC 206 00:11:18,120 --> 00:11:21,800 Speaker 1: two T two is the terminator sequel um. So you'd 207 00:11:21,800 --> 00:11:26,760 Speaker 1: walk into the scanner and all this like uh technology, 208 00:11:26,880 --> 00:11:29,440 Speaker 1: bursts of white light that I don't quite understand. Text 209 00:11:29,440 --> 00:11:32,040 Speaker 1: stuff can cover this for us. Yeah, well I'm Christians 210 00:11:32,080 --> 00:11:34,120 Speaker 1: just looking at me blankly when I started talking about 211 00:11:34,160 --> 00:11:36,360 Speaker 1: white light. But white light would capture your body and 212 00:11:36,400 --> 00:11:39,880 Speaker 1: would make your body into like a series of dots essentially, 213 00:11:39,880 --> 00:11:43,280 Speaker 1: and then the manufacturers would know how two dots were related, 214 00:11:43,720 --> 00:11:45,880 Speaker 1: and that would be the measurement, as opposed to just 215 00:11:46,200 --> 00:11:48,080 Speaker 1: putting a tape measure around your waist and calling that 216 00:11:48,120 --> 00:11:51,000 Speaker 1: your measurement. They would look at ratios, they would look 217 00:11:51,000 --> 00:11:54,600 Speaker 1: at where things were located and which things were higher 218 00:11:54,600 --> 00:11:58,040 Speaker 1: and lower on some people, um, and that was how 219 00:11:58,080 --> 00:12:00,000 Speaker 1: they would do measurements. So the vision some of these 220 00:12:00,080 --> 00:12:03,160 Speaker 1: people had was that you could get a scan have 221 00:12:03,280 --> 00:12:05,079 Speaker 1: it put on like a hard drive, and you could 222 00:12:05,120 --> 00:12:07,600 Speaker 1: walk around the stores and put it into like their 223 00:12:07,880 --> 00:12:12,839 Speaker 1: scanner complementary device. I guess and say, this is my body, 224 00:12:12,880 --> 00:12:14,760 Speaker 1: find clothes that fit me, and you can find the 225 00:12:14,800 --> 00:12:18,079 Speaker 1: exact clothes. But that isn't that's not exactly how things 226 00:12:18,080 --> 00:12:20,200 Speaker 1: have happened. That does not sound cheap. So I'm guessing 227 00:12:20,240 --> 00:12:23,600 Speaker 1: that was one factor in scanning technology not really getting 228 00:12:23,600 --> 00:12:26,080 Speaker 1: off the ground. But one thing that didn't come out 229 00:12:26,120 --> 00:12:28,280 Speaker 1: of this, I believe it was the size USA was 230 00:12:28,320 --> 00:12:31,760 Speaker 1: the name of this survey, including the white light high 231 00:12:31,840 --> 00:12:35,440 Speaker 1: tech scanners that we obviously know a lot about. Um 232 00:12:36,080 --> 00:12:41,920 Speaker 1: was that it intentionally included more minority women. They actively 233 00:12:41,920 --> 00:12:44,400 Speaker 1: sought out African American women, Latino women, who now make 234 00:12:44,480 --> 00:12:47,000 Speaker 1: up a much larger percentage of the population than they 235 00:12:47,000 --> 00:12:50,560 Speaker 1: did in the nineteen fifties, to actually get a representative 236 00:12:50,640 --> 00:12:55,080 Speaker 1: look at what a woman's body in the US looks like. 237 00:12:55,559 --> 00:12:58,439 Speaker 1: And you know, they're finding that women are like snowflakes. 238 00:12:58,440 --> 00:13:00,040 Speaker 1: There really are no to a like. I don't know 239 00:13:00,120 --> 00:13:01,880 Speaker 1: we'll ever get to the point where a size eight 240 00:13:01,960 --> 00:13:04,160 Speaker 1: is a size eight is a size eight. But I 241 00:13:04,200 --> 00:13:05,839 Speaker 1: think the important thing that could come out of this 242 00:13:06,040 --> 00:13:08,280 Speaker 1: is that we learned that size eight is not the midpoint. 243 00:13:08,360 --> 00:13:11,000 Speaker 1: The study found that only ten percent or less than 244 00:13:11,040 --> 00:13:14,000 Speaker 1: ten percent and women met an ideal size eight, So 245 00:13:14,040 --> 00:13:16,720 Speaker 1: that should not be the standard for which we based 246 00:13:16,720 --> 00:13:20,480 Speaker 1: all our clothing sizes, right, And there was an article 247 00:13:20,559 --> 00:13:23,679 Speaker 1: on this in the Atlantic Vie Virginia postural, and there 248 00:13:23,760 --> 00:13:27,120 Speaker 1: was an interesting quote that she uh that she made 249 00:13:27,400 --> 00:13:30,760 Speaker 1: which said that clothing creates the illusion that bodies fit 250 00:13:31,040 --> 00:13:35,120 Speaker 1: an esthetically pleasing form, that clothes actually cover up the 251 00:13:35,559 --> 00:13:38,960 Speaker 1: natural shape of our bodies. And I think that's important 252 00:13:39,000 --> 00:13:41,960 Speaker 1: to keep in mind, Like you said, bodies as it's 253 00:13:42,040 --> 00:13:44,280 Speaker 1: kind of cheesy as it sounds, bodies are like snowflakes. 254 00:13:44,280 --> 00:13:47,720 Speaker 1: There's not an actual standard size of a woman's body. 255 00:13:47,720 --> 00:13:49,800 Speaker 1: With a man, it might be easier to to break 256 00:13:49,800 --> 00:13:53,199 Speaker 1: it down into a waste and you know, in seam 257 00:13:53,200 --> 00:13:55,800 Speaker 1: but there we just had a lot more curves to 258 00:13:55,800 --> 00:13:59,240 Speaker 1: work with, Molly. Let's face it, we do, so you know, 259 00:13:59,400 --> 00:14:01,960 Speaker 1: it's it's kind of an unfortunate end to the podcast 260 00:14:02,040 --> 00:14:04,800 Speaker 1: because we don't have any sort of grand solution for this. 261 00:14:05,000 --> 00:14:07,040 Speaker 1: You really do have to basically try on all these 262 00:14:07,080 --> 00:14:09,640 Speaker 1: sizes and I find want that fits right and if 263 00:14:09,679 --> 00:14:11,720 Speaker 1: you feel crazy that you're walking into a store and 264 00:14:11,760 --> 00:14:13,880 Speaker 1: you put on you know, the size eight, and maybe 265 00:14:14,440 --> 00:14:16,319 Speaker 1: fact matter is it might be bigger than it used 266 00:14:16,320 --> 00:14:19,400 Speaker 1: to be because as you know, Americans are growing larger. 267 00:14:19,680 --> 00:14:22,520 Speaker 1: Um companies are trying to cater to that by by 268 00:14:22,600 --> 00:14:26,920 Speaker 1: downsizing their sizes. You're not You're not crazy, No, not crazy. 269 00:14:26,960 --> 00:14:30,320 Speaker 1: It's just women's clothing sizes are not standard. Going back 270 00:14:30,360 --> 00:14:35,120 Speaker 1: to that initial standardizing effort that we were talking about 271 00:14:35,400 --> 00:14:40,120 Speaker 1: that started really in the early twentieth century, that was 272 00:14:40,200 --> 00:14:45,200 Speaker 1: thrown out completely in Yeah, it just wasn't it wasn't accurate. Yeah, 273 00:14:45,280 --> 00:14:47,360 Speaker 1: so we might see I don't know, maybe in the 274 00:14:47,400 --> 00:14:49,960 Speaker 1: next few years, with the Size USA survey and all 275 00:14:50,000 --> 00:14:53,520 Speaker 1: these fantastic scanners we have, we might see maybe a 276 00:14:53,560 --> 00:14:56,680 Speaker 1: little more standardization. But I gotta say, don't hold your 277 00:14:56,720 --> 00:14:58,880 Speaker 1: breath for for a while. We can move to Spain, 278 00:14:59,520 --> 00:15:01,480 Speaker 1: because we to Spain. I'd love to move to Spain. 279 00:15:01,800 --> 00:15:05,720 Speaker 1: They have afternoon naps, yes, don Ces and Molly before 280 00:15:05,760 --> 00:15:07,480 Speaker 1: we before we go head out and try to sneak 281 00:15:07,480 --> 00:15:09,840 Speaker 1: a SISA and how stuff works offices. I have to 282 00:15:09,880 --> 00:15:12,960 Speaker 1: say something to men, because the idea for this podcast 283 00:15:13,000 --> 00:15:15,560 Speaker 1: came from a male listener who was asking about women's 284 00:15:15,560 --> 00:15:19,640 Speaker 1: clothing sizes. And you know what, um, take all of this, 285 00:15:20,000 --> 00:15:22,480 Speaker 1: take all of this to heart. When you're thinking about 286 00:15:22,920 --> 00:15:25,040 Speaker 1: whether or not you want to buy a lady in 287 00:15:25,040 --> 00:15:27,600 Speaker 1: your life a piece of clothing, Maybe you just stick 288 00:15:27,600 --> 00:15:32,240 Speaker 1: with perfume or shoes. Shoes sizes, those are easy to 289 00:15:32,280 --> 00:15:34,600 Speaker 1: figure out, yeah, um, or just take her with you, 290 00:15:35,000 --> 00:15:38,200 Speaker 1: Take her with you maybe to a tailor. Yeah, so 291 00:15:38,320 --> 00:15:41,640 Speaker 1: you can get some romantic honey, We're gonna go to 292 00:15:41,640 --> 00:15:46,080 Speaker 1: a tailor, so you're close hip perfectly to a habadasha. Well, 293 00:15:46,120 --> 00:15:49,960 Speaker 1: if you want to learn more about clothing style and 294 00:15:50,040 --> 00:15:52,880 Speaker 1: just good old fashioned anatomy, you can head over to 295 00:15:52,960 --> 00:15:56,200 Speaker 1: how stuff works dot com. And as always, if you 296 00:15:56,240 --> 00:15:58,560 Speaker 1: have a question or comment for me and Molly, please 297 00:15:58,560 --> 00:16:01,360 Speaker 1: send us an email at mom stuff at how stuff 298 00:16:01,360 --> 00:16:05,880 Speaker 1: works dot com. And finally, if you want to read 299 00:16:06,200 --> 00:16:09,680 Speaker 1: even more stuff that is on mine and Molly's minds, 300 00:16:10,200 --> 00:16:13,400 Speaker 1: you should check out our new blog called how to 301 00:16:13,680 --> 00:16:17,840 Speaker 1: Stuff and of course you can find that at how 302 00:16:17,920 --> 00:16:23,640 Speaker 1: stuff works dot com. For more on this and thousands 303 00:16:23,680 --> 00:16:27,359 Speaker 1: of other topics, is it how stuff works dot com. 304 00:16:27,640 --> 00:16:30,360 Speaker 1: Want more how stuff works, check out our blogs on 305 00:16:30,440 --> 00:16:37,280 Speaker 1: the house stuff works dot com home page. Brought to 306 00:16:37,360 --> 00:16:40,440 Speaker 1: you by the reinvented two thousand twelve camera. It's ready, 307 00:16:40,640 --> 00:16:41,080 Speaker 1: are you