1 00:00:01,869 --> 00:00:03,836 It's 1878. 2 00:00:04,969 --> 00:00:08,247 Sir Francis Galton gives a remarkable talk. 3 00:00:09,318 --> 00:00:13,456 He's speaking to the anthropologic institute of Great Britain and Ireland. 4 00:00:14,170 --> 00:00:18,196 Known for his pioneering work in human intelligence, 5 00:00:18,220 --> 00:00:20,208 Galton is a brilliant polymath. 6 00:00:21,716 --> 00:00:23,270 He's an explorer, 7 00:00:23,294 --> 00:00:25,047 an anthropologist, 8 00:00:25,071 --> 00:00:26,601 a sociologist, 9 00:00:26,625 --> 00:00:28,194 a psychologist 10 00:00:28,218 --> 00:00:29,692 and a statistician. 11 00:00:31,387 --> 00:00:33,669 He's also a eugenist. 12 00:00:34,600 --> 00:00:35,846 In this talk, 13 00:00:36,807 --> 00:00:41,560 he presents a new technique by which he can combine photographs 14 00:00:41,584 --> 00:00:43,843 and produce composite portraits. 15 00:00:44,663 --> 00:00:49,677 This technique could be used to characterize different types of people. 16 00:00:50,702 --> 00:00:56,051 Galton thinks that if he combines photographs of violent criminals, 17 00:00:56,075 --> 00:00:59,201 he will discover the face of criminality. 18 00:01:00,253 --> 00:01:02,240 But to his surprise, 19 00:01:02,264 --> 00:01:05,128 the composite portrait that he produces 20 00:01:05,951 --> 00:01:07,207 is beautiful. 21 00:01:10,026 --> 00:01:13,054 Galton's surprising finding raises deep questions: 22 00:01:13,515 --> 00:01:15,100 What is beauty? 23 00:01:16,070 --> 00:01:22,889 Why do certain configurations of line and color and form excite us so? 24 00:01:24,372 --> 00:01:25,900 For most of human history, 25 00:01:25,924 --> 00:01:31,479 these questions have been approached using logic and speculation. 26 00:01:32,115 --> 00:01:33,632 But in the last few decades, 27 00:01:33,656 --> 00:01:36,534 scientists have addressed the question of beauty 28 00:01:36,558 --> 00:01:41,627 using ideas from evolutionary psychology and tools of neuroscience. 29 00:01:42,502 --> 00:01:46,365 We're beginning to glimpse the why and the how of beauty, 30 00:01:46,945 --> 00:01:50,269 at least in terms of what it means for the human face and form. 31 00:01:51,201 --> 00:01:52,757 And in the process, 32 00:01:52,781 --> 00:01:55,133 we're stumbling upon some surprises. 33 00:01:56,160 --> 00:01:58,968 When it comes to seeing beauty in each other, 34 00:01:59,749 --> 00:02:04,104 while this decision is certainly subjective for the individual, 35 00:02:04,128 --> 00:02:08,311 it's sculpted by factors that contribute to the survival of the group. 36 00:02:08,810 --> 00:02:11,458 Many experiments have shown 37 00:02:11,482 --> 00:02:15,483 that a few basic parameters contribute to what makes a face attractive. 38 00:02:16,315 --> 00:02:21,991 These include averaging, symmetry and the effects of hormones. 39 00:02:22,015 --> 00:02:24,425 Let's take each one of these in turn. 40 00:02:26,531 --> 00:02:28,005 Galton's finding 41 00:02:28,029 --> 00:02:33,312 that composite or average faces are typically more attractive 42 00:02:33,336 --> 00:02:36,893 than each individual face that contributes to the average 43 00:02:36,917 --> 00:02:38,846 has been replicated many times. 44 00:02:39,933 --> 00:02:44,122 This laboratory finding fits with many people's intuitions. 45 00:02:44,754 --> 00:02:48,965 Average faces represent the central tendencies of a group. 46 00:02:49,724 --> 00:02:54,043 People with mixed features represent different populations, 47 00:02:54,067 --> 00:02:57,415 and presumably harbor greater genetic diversity 48 00:02:57,439 --> 00:02:59,637 and adaptability to the environment. 49 00:03:00,337 --> 00:03:04,741 Many people find mixed-race individuals attractive 50 00:03:04,765 --> 00:03:06,939 and inbred families less so. 51 00:03:08,627 --> 00:03:12,810 The second factor that contributes to beauty is symmetry. 52 00:03:13,474 --> 00:03:17,800 People generally find symmetric faces more attractive than asymmetric ones. 53 00:03:18,758 --> 00:03:24,010 Developmental abnormalities are often associated with asymmetries. 54 00:03:24,034 --> 00:03:27,299 And in plants, animals and humans, 55 00:03:27,323 --> 00:03:30,629 asymmetries often arise from parasitic infections. 56 00:03:31,373 --> 00:03:33,591 Symmetry, it turns out, 57 00:03:33,615 --> 00:03:37,118 is also an indicator of health. 58 00:03:38,469 --> 00:03:40,063 In the 1930s, 59 00:03:40,779 --> 00:03:43,679 a man named Maksymilian Faktorowicz 60 00:03:43,703 --> 00:03:46,880 recognized the importance of symmetry for beauty 61 00:03:46,904 --> 00:03:49,059 when he designed the beauty micrometer. 62 00:03:50,297 --> 00:03:51,448 With this device, 63 00:03:51,472 --> 00:03:54,527 he could measure minor asymmetric flaws 64 00:03:54,551 --> 00:03:59,100 which he could then make up for with products he sold from his company, 65 00:03:59,124 --> 00:04:02,948 named brilliantly after himself, Max Factor, 66 00:04:02,972 --> 00:04:05,983 which, as you know, is one of the world's most famous brands 67 00:04:06,007 --> 00:04:07,175 for "make up." 68 00:04:08,515 --> 00:04:12,473 The third factor that contributes to facial attractiveness 69 00:04:12,497 --> 00:04:14,210 is the effect of hormones. 70 00:04:15,533 --> 00:04:19,587 And here, I need to apologize for confining my comments 71 00:04:20,282 --> 00:04:21,849 to heterosexual norms. 72 00:04:23,618 --> 00:04:28,088 But estrogen and testosterone play important roles 73 00:04:28,112 --> 00:04:30,710 in shaping features that we find attractive. 74 00:04:31,643 --> 00:04:35,500 Estrogen produces features that signal fertility. 75 00:04:36,334 --> 00:04:39,284 Men typically find women attractive 76 00:04:39,308 --> 00:04:43,609 who have elements of both youth and maturity. 77 00:04:44,183 --> 00:04:48,156 A face that's too baby-like might mean that the girl is not yet fertile, 78 00:04:49,119 --> 00:04:51,092 so men find women attractive 79 00:04:51,116 --> 00:04:55,352 who have large eyes, full lips and narrow chins 80 00:04:55,376 --> 00:04:56,885 as indicators of youth, 81 00:04:57,700 --> 00:05:01,083 and high cheekbones as an indicator of maturity. 82 00:05:02,564 --> 00:05:07,847 Testosterone produces features that we regard as typically masculine. 83 00:05:08,777 --> 00:05:10,797 These include heavier brows, 84 00:05:10,821 --> 00:05:12,126 thinner cheeks 85 00:05:12,150 --> 00:05:14,402 and bigger, squared-off jaws. 86 00:05:14,426 --> 00:05:16,216 But here's a fascinating irony. 87 00:05:17,695 --> 00:05:18,846 In many species, 88 00:05:18,870 --> 00:05:20,251 if anything, 89 00:05:20,275 --> 00:05:23,967 testosterone suppresses the immune system. 90 00:05:25,002 --> 00:05:29,176 So the idea that testosterone-infused features are a fitness indicator 91 00:05:29,200 --> 00:05:31,425 doesn't really make a whole lot of sense. 92 00:05:32,183 --> 00:05:34,682 Here, the logic is turned on its head. 93 00:05:35,658 --> 00:05:37,807 Instead of a fitness indicator, 94 00:05:37,831 --> 00:05:41,238 scientists invoke a handicap principle. 95 00:05:42,789 --> 00:05:46,321 The most commonly cited example of a handicap 96 00:05:46,345 --> 00:05:47,836 is the peacock's tail. 97 00:05:48,542 --> 00:05:52,938 This beautiful but cumbersome tail doesn't exactly help the peacock 98 00:05:52,962 --> 00:05:54,224 avoid predators 99 00:05:54,910 --> 00:05:56,367 and approach peahens. 100 00:05:57,188 --> 00:06:00,640 Why should such an extravagant appendage evolve? 101 00:06:01,947 --> 00:06:03,542 Even Charles Darwin, 102 00:06:04,408 --> 00:06:07,807 in an 1860 letter to Asa Gray wrote 103 00:06:07,831 --> 00:06:11,603 that the sight of the peacock's tail made him physically ill. 104 00:06:12,144 --> 00:06:15,042 He couldn't explain it with his theory of natural selection, 105 00:06:15,066 --> 00:06:16,965 and out of this frustration, 106 00:06:16,989 --> 00:06:20,173 he developed the theory of sexual selection. 107 00:06:21,501 --> 00:06:22,651 On this account, 108 00:06:22,675 --> 00:06:27,058 the display of the peacock's tail is about sexual enticement, 109 00:06:27,082 --> 00:06:33,304 and this enticement means it's more likely the peacock will mate 110 00:06:33,328 --> 00:06:34,662 and have offspring. 111 00:06:35,818 --> 00:06:38,807 Now, the modern twist on this display argument 112 00:06:39,472 --> 00:06:44,442 is that the peacock is also advertising its health to the peahen. 113 00:06:46,001 --> 00:06:51,128 Only especially fit organisms can afford to divert resources 114 00:06:51,152 --> 00:06:53,850 to maintaining such an extravagant appendage. 115 00:06:54,592 --> 00:06:59,485 Only especially fit men can afford the price that testosterone levies 116 00:06:59,509 --> 00:07:00,778 on their immune system. 117 00:07:01,560 --> 00:07:04,218 And by analogy, think of the fact 118 00:07:04,242 --> 00:07:11,207 that only very rich men can afford to pay more than $10,000 for a watch 119 00:07:11,231 --> 00:07:13,481 as a display of their financial fitness. 120 00:07:15,113 --> 00:07:17,915 Now, many people hear these kinds of evolutionary claims 121 00:07:17,939 --> 00:07:23,669 and think they mean that we somehow are unconsciously seeking mates 122 00:07:23,693 --> 00:07:25,608 who are healthy. 123 00:07:25,632 --> 00:07:28,575 And I think this idea is probably not right. 124 00:07:30,269 --> 00:07:35,131 Teenagers and young adults are not exactly known for making decisions 125 00:07:35,155 --> 00:07:37,343 that are predicated on health concerns. 126 00:07:38,544 --> 00:07:40,145 But they don't have to be, 127 00:07:40,169 --> 00:07:41,652 and let me explain why. 128 00:07:43,151 --> 00:07:44,502 Imagine a population 129 00:07:45,208 --> 00:07:49,386 in which people have three different kinds of preferences: 130 00:07:49,410 --> 00:07:52,735 for green, for orange and for red. 131 00:07:53,922 --> 00:07:55,113 From their point of view, 132 00:07:55,137 --> 00:07:57,500 these preferences have nothing to do with health; 133 00:07:57,524 --> 00:07:59,016 they just like what they like. 134 00:08:00,128 --> 00:08:04,169 But if it were also the case that these preferences are associated 135 00:08:04,193 --> 00:08:07,191 with the different likelihood of producing offspring -- 136 00:08:07,215 --> 00:08:10,077 let's say in a ratio of 3:2:1 -- 137 00:08:11,060 --> 00:08:12,504 then in the first generation, 138 00:08:12,528 --> 00:08:15,800 there would be 3 greens to 2 oranges to 1 red, 139 00:08:15,824 --> 00:08:18,010 and in each subsequent generation, 140 00:08:18,034 --> 00:08:20,740 the proportion of greens increase, 141 00:08:22,067 --> 00:08:23,778 so that in 10 generations, 142 00:08:23,802 --> 00:08:27,575 98 percent of this population has a green preference. 143 00:08:27,963 --> 00:08:31,084 Now, a scientist coming in and sampling this population 144 00:08:31,108 --> 00:08:34,757 discovers that green preferences are universal. 145 00:08:35,606 --> 00:08:39,478 So the point about this little abstract example 146 00:08:39,502 --> 00:08:44,162 is that while preferences for specific physical features 147 00:08:44,186 --> 00:08:46,749 can be arbitrary for the individual, 148 00:08:48,090 --> 00:08:49,860 if those features are heritable 149 00:08:53,232 --> 00:08:57,391 and they are associated with a reproductive advantage, 150 00:08:57,415 --> 00:08:58,629 over time, 151 00:08:58,653 --> 00:09:00,580 they become universal for the group. 152 00:09:03,172 --> 00:09:08,373 So what happens in the brain when we see beautiful people? 153 00:09:10,520 --> 00:09:14,548 Attractive faces activate parts of our visual cortex 154 00:09:14,572 --> 00:09:16,517 in the back of the brain, 155 00:09:16,541 --> 00:09:18,483 an area called the fusiform gyrus, 156 00:09:18,507 --> 00:09:21,309 that is especially tuned to processing faces, 157 00:09:21,333 --> 00:09:25,347 and an adjacent area called the lateral occipital complex, 158 00:09:25,371 --> 00:09:28,127 that is especially attuned to processing objects. 159 00:09:28,700 --> 00:09:30,096 In addition, 160 00:09:30,120 --> 00:09:35,198 attractive faces activate parts of our reward and pleasure centers 161 00:09:35,222 --> 00:09:37,487 in the front and deep in the brain, 162 00:09:38,179 --> 00:09:41,303 and these include areas that have complicated names, 163 00:09:41,327 --> 00:09:43,191 like the ventral striatum, 164 00:09:43,215 --> 00:09:45,134 the orbitofrontal cortex 165 00:09:45,158 --> 00:09:47,752 and the ventromedial prefrontal cortex. 166 00:09:48,732 --> 00:09:52,716 Our visual brain that is tuned to processing faces 167 00:09:52,740 --> 00:09:55,377 interacts with our pleasure centers 168 00:09:55,401 --> 00:09:57,848 to underpin the experience of beauty. 169 00:09:59,719 --> 00:10:03,811 Amazingly, while we all engage with beauty, 170 00:10:03,835 --> 00:10:05,432 without our knowledge, 171 00:10:05,456 --> 00:10:07,214 beauty also engages us. 172 00:10:08,478 --> 00:10:10,977 Our brains respond to attractive faces 173 00:10:11,001 --> 00:10:13,355 even when we're not thinking about beauty. 174 00:10:14,637 --> 00:10:18,926 We conducted an experiment in which people saw a series of faces, 175 00:10:18,950 --> 00:10:20,653 and in one condition, 176 00:10:20,677 --> 00:10:26,253 they had to decide if a pair of faces were the same or a different person. 177 00:10:27,907 --> 00:10:30,400 Even in this condition, 178 00:10:30,424 --> 00:10:36,566 attractive faces drove neural activity robustly in their visual cortex, 179 00:10:36,590 --> 00:10:40,103 despite the fact that they were thinking about a person's identity 180 00:10:40,127 --> 00:10:41,428 and not their beauty. 181 00:10:43,127 --> 00:10:47,438 Another group similarly found automatic responses to beauty 182 00:10:47,462 --> 00:10:49,625 within our pleasure centers. 183 00:10:50,551 --> 00:10:53,340 Taken together, these studies suggest 184 00:10:54,033 --> 00:10:58,544 that our brain automatically responds to beauty 185 00:10:58,568 --> 00:11:00,583 by linking vision and pleasure. 186 00:11:01,854 --> 00:11:04,234 These beauty detectors, it seems, 187 00:11:04,258 --> 00:11:06,096 ping every time we see beauty, 188 00:11:06,120 --> 00:11:08,814 regardless of whatever else we might be thinking. 189 00:11:11,022 --> 00:11:16,511 We also have a "beauty is good" stereotype embedded in the brain. 190 00:11:17,712 --> 00:11:19,939 Within the orbitofrontal cortex, 191 00:11:19,963 --> 00:11:21,738 there's overlapping neural activity 192 00:11:21,762 --> 00:11:25,546 in response to beauty and to goodness, 193 00:11:27,185 --> 00:11:30,707 and this happens even when people aren't explicitly thinking 194 00:11:30,731 --> 00:11:32,334 about beauty or goodness. 195 00:11:33,906 --> 00:11:37,865 Our brains seem to reflexively associate beauty and good. 196 00:11:38,690 --> 00:11:42,668 And this reflexive association may be the biologic trigger 197 00:11:42,692 --> 00:11:45,374 for the many social effects of beauty. 198 00:11:46,057 --> 00:11:50,451 Attractive people receive all kinds of advantages in life. 199 00:11:51,556 --> 00:11:54,310 They're regarded as more intelligent, 200 00:11:54,334 --> 00:11:55,937 more trustworthy, 201 00:11:55,961 --> 00:11:59,506 they're given higher pay and lesser punishments, 202 00:11:59,530 --> 00:12:02,252 even when such judgments are not warranted. 203 00:12:03,572 --> 00:12:06,912 These kinds of observations reveal beauty's ugly side. 204 00:12:07,796 --> 00:12:09,869 In my lab, we recently found 205 00:12:09,893 --> 00:12:14,815 that people with minor facial anomalies and disfigurements 206 00:12:14,839 --> 00:12:18,623 are regarded as less good, less kind, 207 00:12:18,647 --> 00:12:23,078 less intelligent, less competent and less hardworking. 208 00:12:23,854 --> 00:12:29,138 Unfortunately, we also have a "disfigured is bad" stereotype. 209 00:12:30,398 --> 00:12:37,056 This stereotype is probably exploited and magnified 210 00:12:37,080 --> 00:12:39,493 by images in popular media, 211 00:12:39,517 --> 00:12:43,413 in which facial disfigurement is often used as a shorthand 212 00:12:43,437 --> 00:12:46,095 to depict someone of villainous character. 213 00:12:47,378 --> 00:12:50,832 We need to understand these kinds of implicit biases 214 00:12:50,856 --> 00:12:52,593 if we are to overcome them 215 00:12:52,617 --> 00:12:56,298 and aim for a society in which we treat people fairly, 216 00:12:56,322 --> 00:13:00,737 based on their behavior and not on the happenstance of their looks. 217 00:13:04,758 --> 00:13:08,003 Let me leave you with one final thought. 218 00:13:09,044 --> 00:13:11,092 Beauty is a work in progress. 219 00:13:12,527 --> 00:13:15,734 The so-called universal attributes of beauty 220 00:13:15,758 --> 00:13:21,246 were selected for during the almost two million years of the Pleistocene. 221 00:13:21,944 --> 00:13:26,836 Life was nasty, brutish and a very long time ago. 222 00:13:28,014 --> 00:13:33,338 The selection criteria for reproductive success from that time 223 00:13:33,362 --> 00:13:35,227 doesn't really apply today. 224 00:13:35,966 --> 00:13:37,456 For example, 225 00:13:37,480 --> 00:13:41,547 death by parasite is not one of the top ways that people die, 226 00:13:41,571 --> 00:13:44,462 at least not in the technologically developed world. 227 00:13:45,997 --> 00:13:48,357 From antibiotics to surgery, 228 00:13:48,381 --> 00:13:51,873 birth control to in vitro fertilization, 229 00:13:51,897 --> 00:13:55,287 the filters for reproductive success are being relaxed. 230 00:13:55,956 --> 00:13:58,611 And under these relaxed conditions, 231 00:13:58,635 --> 00:14:02,869 preference and trait combinations are free to drift 232 00:14:02,893 --> 00:14:04,662 and become more variable. 233 00:14:05,416 --> 00:14:09,602 Even as we are profoundly affecting our environment, 234 00:14:10,985 --> 00:14:14,298 modern medicine and technological innovation 235 00:14:14,322 --> 00:14:16,075 is profoundly affecting 236 00:14:16,099 --> 00:14:19,821 the very essence of what it means to look beautiful. 237 00:14:21,197 --> 00:14:23,747 The universal nature of beauty is changing 238 00:14:23,771 --> 00:14:26,692 even as we're changing the universe. 239 00:14:28,863 --> 00:14:30,048 Thank you. 240 00:14:30,072 --> 00:14:33,658 (Applause)