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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,069 --> 00:00:03,402 Freeman: It is an idea 2 00:00:03,404 --> 00:00:08,140 that has spawned hatred, war, and genocide. 3 00:00:08,142 --> 00:00:11,911 It is one of the most polarizing questions 4 00:00:11,913 --> 00:00:14,613 we could ever ask. 5 00:00:14,615 --> 00:00:18,217 Do different races not just look different? 6 00:00:18,219 --> 00:00:21,487 Are they fundamentally different? 7 00:00:21,489 --> 00:00:26,559 Will a future race of advanced humans look back 8 00:00:26,561 --> 00:00:30,363 and see all of us as a vastly inferior breed? 9 00:00:31,665 --> 00:00:34,967 Could there be a superior race? 10 00:00:40,941 --> 00:00:46,278 Space, time, life itself. 11 00:00:48,348 --> 00:00:52,852 The secrets of the cosmos lie through the wormhole. 12 00:00:52,854 --> 00:00:56,854 ♪ Through the Wormhole 03x02 ♪ Is There a Superior Race? Original Air Date on June 6, 2012 13 00:00:56,879 --> 00:01:00,879 == sync, corrected by elderman == 14 00:01:05,832 --> 00:01:08,300 Speak of racial differences, 15 00:01:08,302 --> 00:01:11,771 and you're bound to inflame passions. 16 00:01:11,773 --> 00:01:13,672 Bosnian and Serb. 17 00:01:13,674 --> 00:01:16,242 Japanese and Korean. 18 00:01:16,244 --> 00:01:18,077 Black and White. 19 00:01:18,079 --> 00:01:20,413 The belief that one group's germ line 20 00:01:20,415 --> 00:01:21,881 is superior to another's 21 00:01:21,883 --> 00:01:24,650 has haunted history for thousands of years. 22 00:01:24,652 --> 00:01:29,255 But now we're in the age of DNA technology. 23 00:01:29,257 --> 00:01:33,659 We can track down minute differences 24 00:01:33,661 --> 00:01:35,728 in these chemical strands 25 00:01:35,730 --> 00:01:38,831 and perhaps discover whether they make Africans 26 00:01:38,833 --> 00:01:41,634 not just look different from Indians, 27 00:01:41,636 --> 00:01:44,603 but also think differently. 28 00:01:44,605 --> 00:01:49,942 Science has long been misused to try and prop up bigotry, 29 00:01:49,944 --> 00:01:52,912 but daring to ask how we might be different 30 00:01:52,914 --> 00:01:54,713 is important. 31 00:01:54,715 --> 00:01:57,016 Because the answers could tell us 32 00:01:57,018 --> 00:02:00,719 where the entire human species is headed. 33 00:02:04,491 --> 00:02:08,627 I grew up in an all-black neighborhood in Mississippi. 34 00:02:10,330 --> 00:02:15,668 I never thought of myself as better or worse than anyone. 35 00:02:15,670 --> 00:02:17,203 But all around town, 36 00:02:17,205 --> 00:02:21,574 there were signs that other people did. 37 00:02:24,811 --> 00:02:29,548 Dr. Martin Luther King Jr. had a dream of racial equality. 38 00:02:29,550 --> 00:02:31,117 And in the last 50 years, 39 00:02:31,119 --> 00:02:33,419 we've taken some steps 40 00:02:33,421 --> 00:02:36,422 toward the colorblind world he imagined. 41 00:02:36,424 --> 00:02:40,860 But scientists are still trying to understand what race means, 42 00:02:40,862 --> 00:02:45,231 or if it has any scientific meaning at all. 43 00:02:45,233 --> 00:02:48,868 Is race only skin deep? 44 00:02:48,870 --> 00:02:52,571 Or is there something internal, invisible, 45 00:02:52,573 --> 00:02:55,875 that sets the races apart? 46 00:02:55,877 --> 00:02:59,678 Evolutionary biologist Andy Brower 47 00:02:59,680 --> 00:03:02,982 thinks we can understand what the word "race" means 48 00:03:02,984 --> 00:03:05,417 by looking at another species, 49 00:03:05,419 --> 00:03:08,787 one he feels he was born to study. 50 00:03:08,789 --> 00:03:12,625 Both my parents worked on butterflies for their PhDs 51 00:03:12,627 --> 00:03:14,293 back in the '50s. 52 00:03:15,747 --> 00:03:19,784 So I just became fascinated by that at 5 years old, 53 00:03:19,809 --> 00:03:22,993 and I've had a little butterfly collection as a kid. 54 00:03:23,449 --> 00:03:26,047 Definitely in my DNA, right from the start. 55 00:03:26,732 --> 00:03:29,554 Andy studies Heliconius butterflies. 56 00:03:30,322 --> 00:03:32,073 He has followed their fluttering wings 57 00:03:32,098 --> 00:03:34,549 all over the Western Hemisphere. 58 00:03:34,876 --> 00:03:38,669 As much as he is enchanted by their elaborate wing markings, 59 00:03:38,694 --> 00:03:42,629 he knows that their beauty is only superficial. 60 00:03:43,019 --> 00:03:44,656 They're poisonous butterflies, 61 00:03:44,657 --> 00:03:47,051 and they have mimetic wing patterns 62 00:03:47,053 --> 00:03:50,589 so that they are advertising the fact that they taste bad 63 00:03:50,689 --> 00:03:53,957 to potential predators, birds, usually. 64 00:03:53,959 --> 00:03:57,193 So that the more butterflies exhibit a common color pattern, 65 00:03:57,195 --> 00:03:59,929 the easier it is for the birds to recognize that, 66 00:03:59,931 --> 00:04:02,232 "Okay, there's one of those red and yellow things. 67 00:04:02,234 --> 00:04:04,200 They taste bad. I'm leaving those alone." 68 00:04:04,202 --> 00:04:06,402 Freeman: But Heliconius butterflies 69 00:04:06,404 --> 00:04:09,038 do not look the same everywhere. 70 00:04:09,040 --> 00:04:11,007 A group in one region of South America 71 00:04:11,009 --> 00:04:12,976 has completely different wing patterns 72 00:04:12,978 --> 00:04:16,479 from another group that lives just across a river 73 00:04:16,481 --> 00:04:20,416 or another on the other side of a mountain. 74 00:04:20,418 --> 00:04:24,087 This is a box of butterflies that are all the same species. 75 00:04:24,089 --> 00:04:27,223 In French Guiana, a red band is on the fore wing 76 00:04:27,225 --> 00:04:29,726 and the hind wing is basically black. 77 00:04:29,728 --> 00:04:30,960 And then, further south, 78 00:04:30,962 --> 00:04:34,430 you have red rays and the yellow areas. 79 00:04:34,432 --> 00:04:36,366 These two rows in the middle here, 80 00:04:36,368 --> 00:04:37,734 the colors are different. 81 00:04:37,736 --> 00:04:39,435 Freeman: The wing pattern differences 82 00:04:39,437 --> 00:04:41,571 are probably driven by which colors and patterns 83 00:04:41,573 --> 00:04:45,038 stand out most clearly to the local bird population. 84 00:04:45,331 --> 00:04:46,897 But these different-looking varieties -- 85 00:04:47,820 --> 00:04:49,478 you could call them races. 86 00:04:49,887 --> 00:04:53,547 Appear to have identical inner biologies. 87 00:04:53,915 --> 00:04:55,522 They smell the same, 88 00:04:55,547 --> 00:04:57,957 they recognize each other as being potential mates. 89 00:04:57,982 --> 00:05:00,411 And so they produce hybrid offspring. 90 00:05:00,810 --> 00:05:02,638 Hybrid offspring are perfectly fine. 91 00:05:02,663 --> 00:05:04,317 There, there viable and healthy. 92 00:05:04,342 --> 00:05:06,993 They can, their fertile, so they can lay their own eggs. 93 00:05:07,409 --> 00:05:10,034 Freeman: These butterflies all have the same life-span 94 00:05:10,059 --> 00:05:13,271 and the same adaptive poison to ward off predators. 95 00:05:13,641 --> 00:05:18,179 The differences appear to be only skin deep. 96 00:05:19,114 --> 00:05:21,504 It is the same for humans. 97 00:05:22,074 --> 00:05:26,167 Race poses no biological barriers to mating, 98 00:05:26,503 --> 00:05:31,206 and our life-spans are all very similar, 99 00:05:31,208 --> 00:05:34,176 no matter what our ethnic background. 100 00:05:34,178 --> 00:05:38,113 Are people, like Heliconius butterflies, 101 00:05:38,115 --> 00:05:41,750 all the same beneath our different-colored skins? 102 00:05:41,752 --> 00:05:42,885 [ Applause ] 103 00:05:42,919 --> 00:05:44,612 In the year 2000, 104 00:05:44,613 --> 00:05:47,414 when President Clinton announced the completion 105 00:05:47,416 --> 00:05:49,082 of the Human Genome Project, 106 00:05:49,084 --> 00:05:51,585 the answer appeared to be yes. 107 00:05:51,587 --> 00:05:52,786 And in genetic terms, 108 00:05:52,788 --> 00:05:54,888 all human beings, regardless of race, 109 00:05:54,890 --> 00:05:57,924 are more than 99.9% the same. 110 00:05:57,926 --> 00:06:00,594 Freeman: Another decade of genetic study 111 00:06:00,596 --> 00:06:05,165 has lowered that number somewhat to 99.5%. 112 00:06:05,167 --> 00:06:08,135 No matter who you are or where you come from, 113 00:06:08,137 --> 00:06:14,674 a mere 0.5% of your genetic code is unique to you. 114 00:06:14,676 --> 00:06:20,881 What kinds of racial differences could like in that 0.5%? 115 00:06:20,883 --> 00:06:22,883 Perhaps plenty. 116 00:06:22,885 --> 00:06:27,854 Human and chimpanzee genomes only differ by about 3%. 117 00:06:27,856 --> 00:06:29,489 That difference is enough 118 00:06:29,491 --> 00:06:34,494 to make our brains radically bigger and smarter. 119 00:06:38,366 --> 00:06:41,701 John Hawks is a leading paleoanthropologist 120 00:06:41,703 --> 00:06:44,504 at the University of Wisconsin-Madison. 121 00:06:44,506 --> 00:06:47,474 He studies the bones of ancient humans, 122 00:06:47,476 --> 00:06:49,509 tracking how we have changed 123 00:06:49,511 --> 00:06:51,645 since our evolutionary line split off 124 00:06:51,647 --> 00:06:55,982 from that of the chimp's about 6 million years ago. 125 00:06:55,984 --> 00:06:59,553 When we look at a real brief thumbnail of our evolution, 126 00:06:59,555 --> 00:07:01,054 we started out as apes 127 00:07:01,056 --> 00:07:02,923 and became upright-walking people 128 00:07:02,925 --> 00:07:05,058 and then evolved stone-tool manufacture 129 00:07:05,060 --> 00:07:06,426 and bigger brains. 130 00:07:06,428 --> 00:07:09,596 And those are big events that took millions of years. 131 00:07:09,598 --> 00:07:12,032 But most of my work in the last few years 132 00:07:12,034 --> 00:07:15,368 has been focused on the very recent part of our evolution -- 133 00:07:15,370 --> 00:07:17,437 our time since we left Africa 134 00:07:17,439 --> 00:07:20,440 and evolved into the people we are today. 135 00:07:22,843 --> 00:07:24,544 Freeman: Scientists now agree 136 00:07:24,546 --> 00:07:26,413 the development of separate races 137 00:07:26,415 --> 00:07:28,949 began around 50,000 years ago, 138 00:07:28,951 --> 00:07:32,319 when modern humans migrated out of Africa. 139 00:07:32,321 --> 00:07:35,889 There dark-skinned pigmentation was and remains 140 00:07:35,891 --> 00:07:39,793 a protective force against ultraviolet rays. 141 00:07:39,795 --> 00:07:42,762 But as humans moved further north, 142 00:07:42,764 --> 00:07:45,832 dark skin blocked too much sunlight 143 00:07:45,834 --> 00:07:48,868 and reduced the natural production of vitamin D 144 00:07:48,870 --> 00:07:50,537 in our deep skin layers. 145 00:07:50,539 --> 00:07:55,442 Lighter-skinned people fared better in Europe and China. 146 00:07:55,444 --> 00:07:56,977 For those who migrated 147 00:07:56,979 --> 00:07:59,512 to South America and Southern India, 148 00:07:59,514 --> 00:08:03,783 darker skin once again protected them from the sun. 149 00:08:03,785 --> 00:08:05,552 But John's research is showing 150 00:08:05,554 --> 00:08:08,822 that these now-isolated ethnicities 151 00:08:08,824 --> 00:08:12,325 continued to evolve over the ensuing millennia 152 00:08:12,327 --> 00:08:14,728 and that distinctions between racial groups 153 00:08:14,730 --> 00:08:17,397 do go deeper than our skin. 154 00:08:17,399 --> 00:08:19,733 When I study archaeological samples 155 00:08:19,735 --> 00:08:22,502 of skulls that have come out of the ground 156 00:08:22,504 --> 00:08:25,905 from 5,000 years ago, from 10,000 years ago, 157 00:08:25,907 --> 00:08:30,076 we can see many of the changes unfolding in those samples 158 00:08:30,078 --> 00:08:33,446 as we go forward in time. 159 00:08:33,448 --> 00:08:35,148 Brain size changed. 160 00:08:35,150 --> 00:08:36,916 Teeth changed. 161 00:08:36,918 --> 00:08:38,985 And then there are some kinds of changes 162 00:08:38,987 --> 00:08:41,354 that are distinct to different regions. 163 00:08:41,356 --> 00:08:42,889 So, there are characteristics 164 00:08:42,891 --> 00:08:44,791 that we can point at in the skull 165 00:08:44,793 --> 00:08:48,695 that now characterize Asians versus Europeans. 166 00:08:48,697 --> 00:08:51,031 Freeman: John thinks racial differences 167 00:08:51,033 --> 00:08:54,301 run much deeper than our bones. 168 00:08:54,303 --> 00:08:58,371 He believes almost every aspect of our biology changed 169 00:08:58,373 --> 00:09:01,007 as humans migrated around the world, 170 00:09:01,009 --> 00:09:03,376 even the way our brains work. 171 00:09:06,675 --> 00:09:09,109 What separates one race from another? 172 00:09:10,219 --> 00:09:11,719 In the 50,000 years 173 00:09:11,721 --> 00:09:15,990 since small groups of people began migrating out of Africa, 174 00:09:15,992 --> 00:09:19,660 we've developed plenty of physical differences. 175 00:09:19,662 --> 00:09:23,564 But what invisible difference might there be? 176 00:09:23,566 --> 00:09:29,303 Just how far apart has our DNA drifted? 177 00:09:29,305 --> 00:09:31,472 [ Machine beeping ] 178 00:09:31,474 --> 00:09:32,907 [ Bell dinging ] 179 00:09:32,909 --> 00:09:36,610 [ Big-band-style music plays ] 180 00:09:38,246 --> 00:09:41,115 Freeman: Paleoanthropologist John Hawks 181 00:09:41,117 --> 00:09:44,518 is tracking changes in our genes over the past millennia. 182 00:09:45,854 --> 00:09:49,457 And he's discovered something unsettling. 183 00:09:49,459 --> 00:09:53,194 Our DNA loves to gamble. 184 00:09:58,133 --> 00:10:01,769 So, when we look at the way that DNA changes, 185 00:10:01,771 --> 00:10:05,106 it's sort of like our genes are addicted to gambling. 186 00:10:05,108 --> 00:10:08,309 It's got four possible base pairs -- A, C, G, and T. 187 00:10:08,311 --> 00:10:11,345 And here we've got, well, four colors of chips. 188 00:10:11,347 --> 00:10:13,848 This is like a DNA sequence, 189 00:10:13,850 --> 00:10:16,750 except your DNA would be enormously longer. 190 00:10:19,688 --> 00:10:23,257 The way that evolution works on these gene sequences... 191 00:10:23,259 --> 00:10:27,361 As this gene sequence is reproducing itself, 192 00:10:27,363 --> 00:10:31,198 one base pair may get swapped out 193 00:10:31,200 --> 00:10:35,035 and a different one put in its place. 194 00:10:35,037 --> 00:10:38,772 As we lay out many individuals' DNA next to each other, 195 00:10:38,774 --> 00:10:41,709 those individuals are gonna be different from each other 196 00:10:41,711 --> 00:10:42,710 at random places. 197 00:10:42,712 --> 00:10:44,645 When a mutation happens, 198 00:10:44,647 --> 00:10:46,914 that can cause an enormous problem. 199 00:10:46,916 --> 00:10:48,816 Or it could be an enormous advantage. 200 00:10:48,818 --> 00:10:51,352 Freeman: Between every generation, 201 00:10:51,354 --> 00:10:55,556 DNA makes about 60 of these random changes to its sequence. 202 00:10:55,558 --> 00:10:57,691 Sometimes, it hits the jackpot. 203 00:10:57,693 --> 00:11:00,094 Sometimes, it goes bust. 204 00:11:00,096 --> 00:11:03,764 Most of the time, these mutations do nothing at all. 205 00:11:03,766 --> 00:11:06,667 But all the changes that don't kill us 206 00:11:06,669 --> 00:11:09,170 are handed down to the next generation, 207 00:11:09,172 --> 00:11:11,539 living on like molecular fossils. 208 00:11:11,541 --> 00:11:15,075 And these fossils give John a way to calculate 209 00:11:15,077 --> 00:11:17,811 how old any particular gene is. 210 00:11:17,813 --> 00:11:20,481 The longer it has been around, 211 00:11:20,483 --> 00:11:24,151 the more random mutations would have collected around it. 212 00:11:24,153 --> 00:11:27,188 The part that's functionally important stays the same, 213 00:11:27,190 --> 00:11:29,857 but as you go farther and farther away from that part, 214 00:11:29,859 --> 00:11:31,725 it's more likely to have 215 00:11:31,727 --> 00:11:34,428 swapped up with another sequence. 216 00:11:34,430 --> 00:11:38,566 It's the length of that part that hasn't been swapped 217 00:11:38,568 --> 00:11:39,767 that gives us an idea 218 00:11:39,769 --> 00:11:41,869 of how long it's been around in the population. 219 00:11:41,871 --> 00:11:44,405 Because the longer the gene has been around, 220 00:11:44,407 --> 00:11:47,508 the more likely it is that we'll have these random changes. 221 00:11:47,510 --> 00:11:49,109 Freeman: When John and his colleagues 222 00:11:49,111 --> 00:11:51,812 used this gene-dating technique 223 00:11:51,814 --> 00:11:56,016 in populations native to Europe, Asia, and Africa, 224 00:11:56,018 --> 00:11:58,085 they were in for a big surprise. 225 00:11:58,087 --> 00:12:01,789 Many genes were much younger than they'd expected. 226 00:12:01,791 --> 00:12:04,658 What we discovered was that lots of them 227 00:12:04,660 --> 00:12:07,595 showed evidence of really fast adaptive changes. 228 00:12:07,597 --> 00:12:10,497 We're talking about 2,000 places 229 00:12:10,499 --> 00:12:13,867 that, in one part of the world or another, 230 00:12:13,869 --> 00:12:16,804 have undergone really recent adaptation. 231 00:12:16,806 --> 00:12:19,773 We were pretty surprised to find that the number was so large. 232 00:12:19,775 --> 00:12:21,642 Freeman: John had expected to find 233 00:12:21,644 --> 00:12:24,845 that just a fraction of a percent of human genes 234 00:12:24,847 --> 00:12:27,381 would show signs of recent mutation. 235 00:12:27,383 --> 00:12:31,719 But instead, he discovered that about 7% of our genes 236 00:12:31,721 --> 00:12:33,821 have mutated to new forms 237 00:12:33,823 --> 00:12:36,390 in the last 10,000 to 20,000 years. 238 00:12:36,392 --> 00:12:41,262 Some of these genes are only found in certain racial groups. 239 00:12:41,264 --> 00:12:45,032 These mutations are not just related to skin color 240 00:12:45,034 --> 00:12:47,234 and physical appearance. 241 00:12:47,236 --> 00:12:49,837 The changes go far deeper. 242 00:12:49,839 --> 00:12:52,473 Hawks: Probably the most obvious examples 243 00:12:52,475 --> 00:12:55,476 are the examples where there's a disease that's new 244 00:12:55,478 --> 00:12:59,079 that some people have developed resistance strategies to. 245 00:12:59,081 --> 00:13:00,914 So, malaria, for example, 246 00:13:00,916 --> 00:13:03,784 is a disease that has been around for about 5,000 years 247 00:13:03,786 --> 00:13:05,486 as a human pathogen. 248 00:13:05,488 --> 00:13:09,390 Over that time, populations in South Asia, in Africa, 249 00:13:09,392 --> 00:13:13,627 have developed new adaptations to this particular disease. 250 00:13:13,629 --> 00:13:16,263 Freeman: But John suspects there is another force 251 00:13:16,265 --> 00:13:18,165 driving these genetic changes -- 252 00:13:18,167 --> 00:13:20,601 our civilization. 253 00:13:20,603 --> 00:13:22,469 It is an idea that puts him at odds 254 00:13:22,471 --> 00:13:25,039 with most evolutionary scientists, 255 00:13:25,041 --> 00:13:27,741 including the father of them all -- 256 00:13:27,743 --> 00:13:29,443 Charles Darwin. 257 00:13:29,445 --> 00:13:33,647 Darwin talked about the hostile forces of nature, 258 00:13:33,649 --> 00:13:37,985 the sun beating down on us, the cold of the winter, 259 00:13:37,987 --> 00:13:40,587 and these would change us, 260 00:13:40,589 --> 00:13:43,557 because we had to adapt to those environments. 261 00:13:43,559 --> 00:13:46,527 And in human evolution, we could invent things. 262 00:13:46,529 --> 00:13:50,331 We could change our behavior and our culture to insulate us, 263 00:13:50,333 --> 00:13:52,299 to buffer us from those things. 264 00:13:52,301 --> 00:13:56,036 And so the idea was that humans didn't have to change biology 265 00:13:56,038 --> 00:13:58,439 in order to adapt to new places. 266 00:14:00,508 --> 00:14:04,178 Freeman: Charles Darwin's argument was 267 00:14:04,180 --> 00:14:06,914 that farming, houses, clothes, 268 00:14:06,916 --> 00:14:09,483 should stop our genes from changing and evolving, 269 00:14:09,485 --> 00:14:13,120 because we began protecting ourselves from our environments. 270 00:14:13,122 --> 00:14:16,357 But John's research shows 271 00:14:16,359 --> 00:14:19,827 that the different ways groups of humans chose to live 272 00:14:19,829 --> 00:14:22,296 in different parts of the world 273 00:14:22,298 --> 00:14:24,965 could actually have driven genetic changes. 274 00:14:24,967 --> 00:14:26,467 Probably the best example 275 00:14:26,469 --> 00:14:29,970 of how culture has influenced our evolution is milk drinking. 276 00:14:29,972 --> 00:14:33,207 Now, it's not normal for adult mammals 277 00:14:33,209 --> 00:14:35,209 to have access to milk. 278 00:14:35,211 --> 00:14:37,878 If you think about a bull trying to get milk 279 00:14:37,880 --> 00:14:39,546 up from underneath the cow's udder... 280 00:14:39,548 --> 00:14:40,681 [ Moo! ] 281 00:14:40,683 --> 00:14:42,483 ...it just doesn't work in nature. 282 00:14:42,485 --> 00:14:44,251 [ Moo! Clang! ] 283 00:14:44,253 --> 00:14:46,553 There have been many populations 284 00:14:46,555 --> 00:14:49,256 that have adopted dairy animals of different kinds. 285 00:14:49,258 --> 00:14:52,726 Five of them have developed new mutations 286 00:14:52,728 --> 00:14:54,862 that give them, as adults, 287 00:14:54,864 --> 00:14:57,965 the ability to digest the sugar in this milk. 288 00:14:57,967 --> 00:15:01,068 In northern Europe, this is a really common mutation. 289 00:15:01,070 --> 00:15:04,004 But if you go to come parts of the world, like China, 290 00:15:04,006 --> 00:15:07,074 it's very rare for people to be able to drink milk. 291 00:15:07,076 --> 00:15:08,609 [ Burps ] 292 00:15:08,611 --> 00:15:11,945 But in fact, it's the ability to digest this milk, 293 00:15:11,947 --> 00:15:14,715 the lactase persistence, as we call it, 294 00:15:14,717 --> 00:15:17,284 which is the weird, mutant version of this. 295 00:15:17,286 --> 00:15:19,553 And it's all happened in populations 296 00:15:19,555 --> 00:15:21,889 because they've changed their culture. 297 00:15:21,891 --> 00:15:23,791 Freeman: Just as the climates 298 00:15:23,793 --> 00:15:26,427 where different ethnic groups lived varied, 299 00:15:26,429 --> 00:15:29,363 so did the rules and habits of their societies. 300 00:15:29,365 --> 00:15:32,566 And their DNA was forced to adapt. 301 00:15:32,568 --> 00:15:34,501 Hawks: If you're a human, 302 00:15:34,503 --> 00:15:38,005 you have to survive and deal with other people every day 303 00:15:38,007 --> 00:15:39,440 in order to reproduce. 304 00:15:39,442 --> 00:15:42,876 And that makes culture your environment. 305 00:15:42,878 --> 00:15:45,446 Freeman: Genetic adaptations 306 00:15:45,448 --> 00:15:48,615 may even have altered the way our brains work. 307 00:15:48,617 --> 00:15:50,451 John and his colleagues 308 00:15:50,453 --> 00:15:53,387 have discovered around 100 mutations 309 00:15:53,389 --> 00:15:55,489 in genes controlling brain chemistry 310 00:15:55,491 --> 00:15:56,723 that have taken place 311 00:15:56,725 --> 00:15:59,860 since humanity migrated from Africa. 312 00:15:59,862 --> 00:16:05,332 One of them, a genetic variant called DRD4, 313 00:16:05,334 --> 00:16:09,870 may even have triggered that migration in the first place. 314 00:16:09,872 --> 00:16:11,238 It's linked to ADHD, 315 00:16:11,240 --> 00:16:14,208 because when we study patients who have ADHD, 316 00:16:14,210 --> 00:16:17,377 they have a greater chance of having this gene. 317 00:16:17,379 --> 00:16:18,846 One possible reason is 318 00:16:18,848 --> 00:16:21,482 that it made people more likely to move. 319 00:16:21,484 --> 00:16:24,918 The DRD4 mutation is most commonly found 320 00:16:24,920 --> 00:16:28,555 in populations that live outside of Africa. 321 00:16:28,557 --> 00:16:31,959 It appeared around 50,000 years ago. 322 00:16:31,961 --> 00:16:34,628 It has been called "the migration gene," 323 00:16:34,630 --> 00:16:37,431 because traits like rapidly shifting focus 324 00:16:37,433 --> 00:16:39,066 and quick movements 325 00:16:39,068 --> 00:16:43,570 could have been very useful when our ancestors were on the move. 326 00:16:43,572 --> 00:16:47,274 Even though short attention now appears less useful 327 00:16:47,276 --> 00:16:49,910 in our modern, sedentary society. 328 00:16:49,912 --> 00:16:53,247 DRD4 is the best example of a gene 329 00:16:53,249 --> 00:16:55,716 that is clearly recently selected 330 00:16:55,718 --> 00:16:57,584 and has behavioral impacts. 331 00:16:57,586 --> 00:16:59,319 It affects the brain in some way. 332 00:16:59,321 --> 00:17:00,687 But there are others. 333 00:17:00,689 --> 00:17:02,356 And we don't know what they do, 334 00:17:02,358 --> 00:17:05,092 but we can say that they're expressed in the brain, 335 00:17:05,094 --> 00:17:08,662 they're related to our behavior in some way, potentially. 336 00:17:08,664 --> 00:17:10,731 But we don't know what those changes are for. 337 00:17:10,733 --> 00:17:15,269 Freeman: The notion that genetic changes affecting the brain 338 00:17:15,271 --> 00:17:16,703 might actually underpin 339 00:17:16,705 --> 00:17:19,139 the spread of humanity across the globe 340 00:17:19,141 --> 00:17:21,775 leads to an unsettling question. 341 00:17:21,777 --> 00:17:24,478 Might some races have evolved 342 00:17:24,480 --> 00:17:27,781 to become more intelligent than others? 343 00:17:27,783 --> 00:17:31,251 It is a highly divisive notion, 344 00:17:31,253 --> 00:17:34,454 but some scientists are probing the issue, 345 00:17:34,456 --> 00:17:38,859 and their conclusions have triggered outrage. 346 00:17:41,830 --> 00:17:44,132 Race. 347 00:17:44,134 --> 00:17:47,869 It is a word that stirs powerful emotions. 348 00:17:47,871 --> 00:17:49,270 Some scientists think 349 00:17:49,272 --> 00:17:52,340 the genetic differences between us are so small 350 00:17:52,342 --> 00:17:55,610 that the word "race" doesn't even make sense. 351 00:17:55,612 --> 00:17:59,947 But understanding how evolution has shaped the races 352 00:17:59,949 --> 00:18:01,849 and continues to do so 353 00:18:01,851 --> 00:18:04,786 is of great scientific importance. 354 00:18:07,022 --> 00:18:10,725 The trait that sets humans apart from all other species 355 00:18:10,727 --> 00:18:14,228 is our incredibly complex brain. 356 00:18:14,230 --> 00:18:17,965 But could the brains of different races be different? 357 00:18:17,967 --> 00:18:22,003 Could they have different intelligences? 358 00:18:22,005 --> 00:18:25,273 Renowned psychologist Stanley Coren 359 00:18:25,275 --> 00:18:28,976 has spent years studying intelligence differences -- 360 00:18:28,978 --> 00:18:31,679 not among different races of people, 361 00:18:31,681 --> 00:18:35,283 but in different breeds of dogs. 362 00:18:35,285 --> 00:18:37,852 Dogs are a marvel of genetic engineering, 363 00:18:37,854 --> 00:18:40,655 simply because we've kept the breeds separate. 364 00:18:40,657 --> 00:18:47,528 You know, my grandparents were Latvia, Lithuania, Russia, 365 00:18:47,530 --> 00:18:49,597 but I take a golden retriever, 366 00:18:49,599 --> 00:18:52,934 and his granddaddy was a purebred golden retriever, 367 00:18:52,936 --> 00:18:56,104 and his great-granddaddy was, and so on and so forth. 368 00:18:56,106 --> 00:18:58,206 So, there's less noise in the genome. 369 00:18:58,208 --> 00:19:01,976 Freeman: For at least 14,000 years, 370 00:19:01,978 --> 00:19:05,747 humans have systematically shaped the evolution of dogs, 371 00:19:05,749 --> 00:19:08,549 changing them to fit our needs. 372 00:19:08,551 --> 00:19:11,385 Stanley has measured the intelligence 373 00:19:11,387 --> 00:19:13,187 of more than 100 breeds. 374 00:19:13,189 --> 00:19:17,525 So, we can get dogs which, because of their breeding, 375 00:19:17,527 --> 00:19:20,561 differ in terms of their intelligence. 376 00:19:20,563 --> 00:19:23,431 If you take a young child below 18 months of age 377 00:19:23,433 --> 00:19:25,566 and you put a towel over his head, 378 00:19:25,568 --> 00:19:27,668 he thinks that the world has gone away, 379 00:19:27,670 --> 00:19:28,736 and he sits there. 380 00:19:28,738 --> 00:19:31,506 So, if Montana has a mental ability 381 00:19:31,508 --> 00:19:33,641 beyond an 18-month-old human, 382 00:19:33,643 --> 00:19:35,743 Montana should throw the towel off of his head 383 00:19:35,745 --> 00:19:36,878 very quickly. 384 00:19:36,880 --> 00:19:38,813 Are you ready, Montana? Go. 385 00:19:44,219 --> 00:19:47,555 Freeman: Stanley's test results have convinced him 386 00:19:47,557 --> 00:19:51,092 that there are big differences in canine intelligence 387 00:19:51,094 --> 00:19:53,594 from breed to breed. 388 00:19:53,596 --> 00:19:55,363 Coren: Where has the world gone? 389 00:19:55,365 --> 00:19:58,332 Okay, what a good dog. 390 00:19:58,334 --> 00:20:00,802 And then I've got a beagle. 391 00:20:00,804 --> 00:20:04,338 And his job is to amuse my grandchildren. 392 00:20:04,340 --> 00:20:06,941 As dog intelligence goes, 393 00:20:06,943 --> 00:20:09,143 beagles are seven from the bottom. 394 00:20:09,145 --> 00:20:12,046 So, this bench that I'm sitting on right now 395 00:20:12,048 --> 00:20:14,081 is more trainable than a beagle. 396 00:20:14,083 --> 00:20:17,051 The top dogs in terms of intelligence 397 00:20:17,053 --> 00:20:20,621 are the Border Collie, followed by the poodle. 398 00:20:20,623 --> 00:20:22,957 Some people say, "the poodle? That's a froufrou dog." 399 00:20:22,959 --> 00:20:25,660 No, the poodle is a retriever, okay? 400 00:20:25,662 --> 00:20:28,696 And he didn't ask for that silly haircut. 401 00:20:28,698 --> 00:20:32,266 Freeman: If some breeds of dogs are smarter than others, 402 00:20:32,268 --> 00:20:33,768 why could that not be true 403 00:20:33,770 --> 00:20:37,038 for the animals at the other end of the leash? 404 00:20:37,040 --> 00:20:42,243 University of Delaware sociologist Linda Gottfredson 405 00:20:42,245 --> 00:20:45,112 has been analyzing I.Q. test scores 406 00:20:45,114 --> 00:20:47,048 for the past two decades. 407 00:20:47,050 --> 00:20:52,119 She claims they reveal a subtle but measurable link 408 00:20:52,121 --> 00:20:56,057 between intelligence, genetics, and race. 409 00:20:56,059 --> 00:20:59,427 For very complex traits like intelligence, 410 00:20:59,429 --> 00:21:02,330 many genes have small effect, 411 00:21:02,332 --> 00:21:05,433 may push a person this way or that. 412 00:21:05,435 --> 00:21:09,937 And they're really, really hard to find. 413 00:21:09,939 --> 00:21:12,306 Individual I.Q.s 414 00:21:12,308 --> 00:21:16,644 are as diverse as the grains of sand on a beach. 415 00:21:16,646 --> 00:21:20,848 But Linda believes there are patterns in this noise, 416 00:21:20,850 --> 00:21:24,719 patterns that depend on our genes. 417 00:21:24,721 --> 00:21:26,821 Gottfredson: As any parent knows, 418 00:21:26,823 --> 00:21:28,389 brothers and sisters look different. 419 00:21:28,391 --> 00:21:30,925 They often have different personalities, 420 00:21:30,927 --> 00:21:34,161 and they often have different levels of intelligence. 421 00:21:34,163 --> 00:21:37,798 The average difference between siblings 422 00:21:37,800 --> 00:21:40,468 is 12 I.Q. points. 423 00:21:40,470 --> 00:21:43,905 If you compare to random people walking on the beach, 424 00:21:43,907 --> 00:21:47,375 you might ask, "Well, how different are those people?" 425 00:21:47,377 --> 00:21:52,213 On the average, strangers differ by 17 I.Q. points. 426 00:21:52,215 --> 00:21:56,050 So, you see that biological brothers and sisters 427 00:21:56,052 --> 00:21:59,020 are 2/3 as different on the average 428 00:21:59,022 --> 00:22:01,889 as random strangers on the street. 429 00:22:01,891 --> 00:22:06,627 Freeman: The genes of strangers vary more than those of siblings, 430 00:22:06,629 --> 00:22:11,198 and Linda argues this is why their I.Q.s vary more. 431 00:22:11,200 --> 00:22:13,701 Her interpretation of this data 432 00:22:13,703 --> 00:22:15,803 has led her to a controversial notion, 433 00:22:15,805 --> 00:22:18,372 that the genetic differences between races 434 00:22:18,374 --> 00:22:19,907 might lead to differences 435 00:22:19,909 --> 00:22:24,011 in the average intelligence of those races. 436 00:22:24,013 --> 00:22:25,913 Gottfredson: I guess there would be 437 00:22:25,915 --> 00:22:28,382 two rules about human diversity. 438 00:22:28,384 --> 00:22:34,455 One is that there's lots of variation 439 00:22:34,457 --> 00:22:36,223 within all groups, 440 00:22:36,225 --> 00:22:41,595 but there's also a gradation between the groups 441 00:22:41,597 --> 00:22:44,932 so that there are recurring 442 00:22:44,934 --> 00:22:48,102 and sometimes large average differences 443 00:22:48,104 --> 00:22:50,037 between racial ethnic groups. 444 00:22:50,039 --> 00:22:53,040 Freeman: I.Q. scores in any group of people 445 00:22:53,042 --> 00:22:55,309 are spread across a bell curve 446 00:22:55,311 --> 00:23:00,548 ranging from a score of about 70 to about 130. 447 00:23:00,550 --> 00:23:03,351 There are outliers on either end, 448 00:23:03,353 --> 00:23:07,088 but most people are clustered around an average. 449 00:23:07,090 --> 00:23:10,825 There are differences between racial ethnic groups 450 00:23:10,827 --> 00:23:14,261 on the average in I.Q. 451 00:23:14,263 --> 00:23:19,100 The average white I.Q. is arbitrarily set at 100. 452 00:23:19,102 --> 00:23:23,504 Blacks in the United States and in many other western countries 453 00:23:23,506 --> 00:23:25,740 average 85. 454 00:23:25,742 --> 00:23:29,677 Hispanics -- the average would be about 80. 455 00:23:29,679 --> 00:23:33,214 Native Americans around that level. 456 00:23:33,216 --> 00:23:37,852 And then Japanese and Chinese Americans 457 00:23:37,854 --> 00:23:40,054 above the white average. 458 00:23:40,056 --> 00:23:45,326 And then Ashkenazi Jews probably around 110, 115. 459 00:23:45,328 --> 00:23:49,363 Freeman: Linda's research has made her a scientific outcast. 460 00:23:49,365 --> 00:23:54,969 She's even been called a racist, a claim she denies. 461 00:23:54,971 --> 00:23:58,139 Her critics argue that I.Q. tests results 462 00:23:58,141 --> 00:24:01,509 are heavily skewed by socioeconomic factors. 463 00:24:01,511 --> 00:24:05,079 Childhood nutrition and access to healthcare 464 00:24:05,081 --> 00:24:08,215 can vary widely between different racial groups. 465 00:24:08,217 --> 00:24:10,518 If you live in a good neighborhood 466 00:24:10,520 --> 00:24:12,119 with well-funded schools, 467 00:24:12,121 --> 00:24:14,388 you are more likely to be accustomed 468 00:24:14,390 --> 00:24:16,857 to the academic setting of an I.Q. test. 469 00:24:16,859 --> 00:24:18,859 And if you live in those neighborhoods, 470 00:24:18,861 --> 00:24:22,296 you are more likely to be Asian or White. 471 00:24:22,298 --> 00:24:24,065 There are also concerns 472 00:24:24,067 --> 00:24:27,935 over whether the test questions have a cultural bias, 473 00:24:27,937 --> 00:24:29,537 a bias reflected by the fact 474 00:24:29,539 --> 00:24:34,642 that it's the white I.Q. average that's set to 100. 475 00:24:34,644 --> 00:24:38,546 Is one race smarter than another? 476 00:24:38,548 --> 00:24:41,849 Depends on what you mean by smart. 477 00:24:41,851 --> 00:24:43,517 Could I.Q. scores predict 478 00:24:43,519 --> 00:24:46,153 the greatness of an artist like Picasso 479 00:24:46,155 --> 00:24:49,423 or of a political leader like Gandhi? 480 00:24:49,425 --> 00:24:52,893 I.Q. is a narrow obsession. 481 00:24:52,895 --> 00:24:55,796 No two people think the same way, 482 00:24:55,798 --> 00:24:58,132 regardless of their race. 483 00:24:58,134 --> 00:25:00,468 So, here's a new question. 484 00:25:00,470 --> 00:25:04,505 If the brains of the races are similar now, 485 00:25:04,507 --> 00:25:06,841 will that always be true? 486 00:25:06,843 --> 00:25:09,243 We are still evolving. 487 00:25:09,245 --> 00:25:12,079 Could our brains one day become as different 488 00:25:12,081 --> 00:25:15,816 as those of Border Collies and beagles? 489 00:25:17,710 --> 00:25:21,713 Evolution has given human beings one incredible asset -- 490 00:25:22,722 --> 00:25:25,556 the remarkable network of nerve cells 491 00:25:25,558 --> 00:25:28,292 buzzing around inside our heads. 492 00:25:28,294 --> 00:25:31,829 The growth of these three pounds of soft tissue 493 00:25:31,831 --> 00:25:33,998 catapulted human intelligence 494 00:25:34,000 --> 00:25:37,001 to a level far above the other species. 495 00:25:37,003 --> 00:25:40,104 How much further can it grow? 496 00:25:40,106 --> 00:25:43,407 Will we eventually evolve into a superior race 497 00:25:43,409 --> 00:25:46,644 of super-intelligent humans? 498 00:25:47,912 --> 00:25:49,613 [ Engine turns over ] 499 00:25:49,615 --> 00:25:51,782 [ Tires screech ] 500 00:25:56,521 --> 00:25:58,522 Neuroscience Professor Simon Laughlin 501 00:25:58,524 --> 00:26:02,693 from the University of Cambridge studies brain power. 502 00:26:02,695 --> 00:26:04,428 He tests the limits 503 00:26:04,430 --> 00:26:07,865 of what brains and their nerve cells can do, 504 00:26:07,867 --> 00:26:11,302 all the while watching how much fuel they guzzle. 505 00:26:11,304 --> 00:26:13,671 So, I'm interested in what the physical limits 506 00:26:13,673 --> 00:26:15,239 to the performance of brains are 507 00:26:15,241 --> 00:26:19,610 and in what determines the processing power of brains. 508 00:26:19,612 --> 00:26:22,813 Freeman: Simon has developed a unique way to see 509 00:26:22,815 --> 00:26:26,383 just how much information living brains are processing 510 00:26:26,385 --> 00:26:29,086 while simultaneously keeping track 511 00:26:29,088 --> 00:26:31,622 of how much energy they are using. 512 00:26:31,624 --> 00:26:34,124 His window into the human brain 513 00:26:34,126 --> 00:26:38,529 is through the bulbous eyes of flies. 514 00:26:38,531 --> 00:26:40,297 Laughlin: They're a simpler system, 515 00:26:40,299 --> 00:26:42,433 so it's like looking at a pocket calculator 516 00:26:42,435 --> 00:26:44,868 before you work up to actually trying to understand 517 00:26:44,870 --> 00:26:46,503 a really big computer. 518 00:26:46,505 --> 00:26:49,573 The basic principles by which the fly's brain operates 519 00:26:49,575 --> 00:26:50,808 is the same as ours, 520 00:26:50,810 --> 00:26:53,444 but they're much easier to work with, 521 00:26:53,446 --> 00:26:56,447 and we have a much more complete understanding of what they do. 522 00:26:56,449 --> 00:27:00,884 Freeman: Simon's ability to measure the performance of fly brains 523 00:27:00,886 --> 00:27:06,323 is all thanks to this insect's most bothersome characteristic. 524 00:27:06,325 --> 00:27:08,292 [ Flyswatter slaps, fly buzzes ] 525 00:27:08,294 --> 00:27:10,594 Anybody who's tried to swat a fly knows 526 00:27:10,596 --> 00:27:12,763 that they're very good at detecting movement. 527 00:27:12,765 --> 00:27:16,467 And to do that, they have to be able to respond 528 00:27:16,469 --> 00:27:19,670 to very rapid and fast changes in light. 529 00:27:19,672 --> 00:27:22,272 Freeman: In fact, detecting light 530 00:27:22,274 --> 00:27:25,476 is most of what a fly's brain does. 531 00:27:25,478 --> 00:27:29,613 Simon's lab is stocked with two species -- 532 00:27:29,615 --> 00:27:32,483 the blowfly, with large, bulging eyes, 533 00:27:32,485 --> 00:27:37,321 and the diminutive fruit fly, whose eyes are much smaller. 534 00:27:37,323 --> 00:27:40,424 He and his team fit microelectrodes 535 00:27:40,426 --> 00:27:42,693 into the fly's nerve cells, 536 00:27:42,695 --> 00:27:45,863 then they expose them to a flickering light 537 00:27:45,865 --> 00:27:49,933 to record their processing power. 538 00:27:49,935 --> 00:27:52,369 So, the cell responds to the light 539 00:27:52,371 --> 00:27:54,872 by changing its membrane potential. 540 00:27:54,874 --> 00:27:56,874 And then we can process those signals 541 00:27:56,876 --> 00:28:00,377 to work out how much information they contain. 542 00:28:00,379 --> 00:28:02,946 Freeman: Simon discovered that while the fruit fly 543 00:28:02,948 --> 00:28:06,283 is able to see some of the changes in light, 544 00:28:06,285 --> 00:28:10,587 the blowfly picks up on even the most minute flicker. 545 00:28:10,589 --> 00:28:12,523 The blowfly's bulbous eyeballs 546 00:28:12,525 --> 00:28:16,026 spew out a huge quantity of neural data, 547 00:28:16,028 --> 00:28:20,030 enough to fill up a one-gigabyte memory stick 548 00:28:20,032 --> 00:28:21,465 every minute. 549 00:28:21,467 --> 00:28:24,968 But there's a downside for the blowfly. 550 00:28:24,970 --> 00:28:26,503 So, the blowfly picks up 551 00:28:26,505 --> 00:28:30,007 about five times as many bits per second as the fruit fly, 552 00:28:30,009 --> 00:28:33,010 but because it has a much higher performance, 553 00:28:33,012 --> 00:28:34,311 those bits of information, 554 00:28:34,313 --> 00:28:37,881 each bit costs it about 10 times more energy. 555 00:28:37,883 --> 00:28:41,385 Information is very expensive for a fly. 556 00:28:41,387 --> 00:28:43,187 [ Tires screech ] 557 00:28:43,189 --> 00:28:45,289 [ Engine revs ] 558 00:28:49,961 --> 00:28:53,831 So, we have a sports car that has a very high top speed. 559 00:28:53,833 --> 00:28:55,999 It has a very high performance. 560 00:28:56,001 --> 00:28:59,269 But also, it has a very heavy fuel consumption. 561 00:28:59,271 --> 00:29:00,838 It uses a lot of energy. 562 00:29:00,840 --> 00:29:03,173 So, as we're idling along now in Cambridge, 563 00:29:03,175 --> 00:29:05,709 we're not using any of our performance at all. 564 00:29:10,181 --> 00:29:13,650 [ Engine revs ] 565 00:29:13,652 --> 00:29:16,086 This little car here has a lot lower performance 566 00:29:16,088 --> 00:29:17,187 than this sports car, 567 00:29:17,189 --> 00:29:18,722 but it's much more economical. 568 00:29:18,724 --> 00:29:21,225 It uses much less energy to go a given distance. 569 00:29:21,227 --> 00:29:23,627 So, you pay a high price for high performance, 570 00:29:23,629 --> 00:29:25,028 just like neurons. 571 00:29:25,030 --> 00:29:27,397 Freeman: The powerhouse brain of a human being 572 00:29:27,399 --> 00:29:31,235 is even less fuel efficient than that of the blowfly. 573 00:29:31,237 --> 00:29:34,171 And this is why Simon is almost certain 574 00:29:34,173 --> 00:29:37,908 that the human brain has reached its limit. 575 00:29:37,910 --> 00:29:40,844 So, if the blowfly is this sports car, 576 00:29:40,846 --> 00:29:45,148 then the human brain, with it's vastly superior performance, 577 00:29:45,150 --> 00:29:47,384 is like a space rocket. 578 00:29:47,386 --> 00:29:51,522 Huge amounts of energy being used to process information. 579 00:29:51,524 --> 00:29:55,259 Freeman: The human brain is only 2% of our body mass, 580 00:29:55,261 --> 00:30:00,197 but it consumes 20% of our oxygen when we are at rest. 581 00:30:00,199 --> 00:30:03,800 The smarter we get, the higher the energy cost. 582 00:30:03,802 --> 00:30:06,837 Laughlin: If we wanted to have a brain that was 10% better, 583 00:30:06,839 --> 00:30:09,973 we might have to have one that was actually 20% bigger. 584 00:30:09,975 --> 00:30:14,244 Then it would make increasingly large demands on the body. 585 00:30:14,246 --> 00:30:15,445 [ Baby fussing ] 586 00:30:15,447 --> 00:30:17,014 If the human brain got bigger, 587 00:30:17,016 --> 00:30:20,884 it would be more difficult to give birth to children. 588 00:30:20,886 --> 00:30:23,921 And if you wanted to make it much bigger, 589 00:30:23,923 --> 00:30:25,556 when the child was born, 590 00:30:25,558 --> 00:30:28,759 the brain would have to be less well-developed than it is now. 591 00:30:28,761 --> 00:30:32,329 So, infancy and childhood would last longer. 592 00:30:32,331 --> 00:30:33,964 [ Crying ] 593 00:30:33,966 --> 00:30:37,834 Our brain has evolved to strike some sort of balance 594 00:30:37,836 --> 00:30:41,371 between the cost of processing the information, 595 00:30:41,373 --> 00:30:42,906 which is very high, 596 00:30:42,908 --> 00:30:45,742 and the amount of information we actually need to process. 597 00:30:45,744 --> 00:30:50,847 Freeman: But there may still be a way for us to become smarter. 598 00:30:50,849 --> 00:30:54,017 If we take matters into our own hands, 599 00:30:54,019 --> 00:30:58,488 we may build a superior human race. 600 00:30:58,490 --> 00:31:02,125 And only some of us will be part of it. 601 00:31:04,861 --> 00:31:06,795 All of modern humanity 602 00:31:06,797 --> 00:31:11,266 can trace its ancestry back to a small group of people 603 00:31:11,268 --> 00:31:15,237 living in East Africa about 50,000 years ago. 604 00:31:15,239 --> 00:31:18,474 We all looked very similar back then. 605 00:31:18,476 --> 00:31:19,908 Over the millennia, 606 00:31:19,910 --> 00:31:22,511 we've adapted to our local climates 607 00:31:22,513 --> 00:31:26,215 and become the rainbow of people we are today. 608 00:31:26,217 --> 00:31:29,051 But evolution hasn't stopped. 609 00:31:29,053 --> 00:31:31,887 Where are we headed? 610 00:31:31,889 --> 00:31:34,823 Could a future race of superior humans... 611 00:31:34,825 --> 00:31:38,427 [ Distorted ] Look like this? 612 00:31:41,397 --> 00:31:44,900 Peter Ward is a paleontologist 613 00:31:44,902 --> 00:31:48,637 at the University of Washington in Seattle. 614 00:31:48,639 --> 00:31:51,240 He finds evolution everywhere he looks, 615 00:31:51,242 --> 00:31:54,810 even inside a fish market. 616 00:31:54,812 --> 00:31:57,613 Well, we got two really standard wonderful food fish 617 00:31:57,615 --> 00:31:59,081 in the Northwest. 618 00:31:59,083 --> 00:32:02,317 We've got this nice big halibut and these beautiful salmon. 619 00:32:02,319 --> 00:32:04,319 If we look at the fossil record, actually, 620 00:32:04,321 --> 00:32:06,054 these are way more primitive. 621 00:32:06,056 --> 00:32:08,223 These guys were here first and, in fact, 622 00:32:08,225 --> 00:32:11,960 far more fish look like this -- that beautiful fusiform shape -- 623 00:32:11,962 --> 00:32:13,996 than this rather ugly thing. 624 00:32:13,998 --> 00:32:16,498 It's been squished down and flattened. 625 00:32:16,500 --> 00:32:19,668 It's like taking a salmon, rolling it on its side, 626 00:32:19,670 --> 00:32:21,270 bringing an eye over, 627 00:32:21,272 --> 00:32:24,940 and living forever with that totally rotated shape. 628 00:32:24,942 --> 00:32:27,209 This guy lives on the bottom, 629 00:32:27,211 --> 00:32:30,779 and this is a superb adaptation for where it lives. 630 00:32:30,781 --> 00:32:35,284 Freeman: From the salmon, evolution created the halibut. 631 00:32:35,286 --> 00:32:40,222 What, Peter wonders, might it do to humans? 632 00:32:40,224 --> 00:32:43,792 It is tempting to believe that nature has a master plan 633 00:32:43,794 --> 00:32:48,297 to evolve us into fitter, smarter, more attractive beings. 634 00:32:48,299 --> 00:32:52,134 But nature doesn't work that way. 635 00:32:52,136 --> 00:32:56,071 Our best traits and our worst traits 636 00:32:56,073 --> 00:32:59,641 are chosen for us quite randomly. 637 00:32:59,643 --> 00:33:02,010 Albert Einstein most famously said, 638 00:33:02,012 --> 00:33:04,813 "God does not play dice with the universe." 639 00:33:04,815 --> 00:33:06,915 Well, maybe he was right in physics, 640 00:33:06,917 --> 00:33:09,851 but in evolution, there's a whole lot of dice playing. 641 00:33:09,853 --> 00:33:13,055 Here's my evolutionary dice -- die. 642 00:33:13,057 --> 00:33:17,226 This is A, T, G, and C -- the genetic code. 643 00:33:17,228 --> 00:33:19,328 When they combine together, 644 00:33:19,330 --> 00:33:22,030 they tell an organism what traits it's gonna have. 645 00:33:22,032 --> 00:33:23,665 And much of that combination 646 00:33:23,667 --> 00:33:25,767 comes together in random fashion. 647 00:33:25,769 --> 00:33:29,071 So if I throw this evolutionary die, 648 00:33:29,073 --> 00:33:33,075 I'm gonna be stuck with this particular gene, 649 00:33:33,077 --> 00:33:37,079 and that gene might take me up any one of these four roads. 650 00:33:37,081 --> 00:33:39,848 Three of those roads might kill you almost instantly. 651 00:33:39,850 --> 00:33:43,952 One of them might be towards a really superior organism. 652 00:33:46,189 --> 00:33:49,691 Freeman: If Peter wants to make his way across town 653 00:33:49,693 --> 00:33:51,393 to a high-end restaurant 654 00:33:51,395 --> 00:33:54,529 using the rules of DNA navigation, 655 00:33:54,531 --> 00:33:59,101 he will have to rely on the random roll of a die. 656 00:34:02,272 --> 00:34:04,439 One turn could get him closer. 657 00:34:06,442 --> 00:34:09,378 The next could turn him back toward where he started. 658 00:34:09,380 --> 00:34:13,282 There's no telling when or if he will ever make it. 659 00:34:13,284 --> 00:34:15,884 Evolution is a random process 660 00:34:15,886 --> 00:34:19,121 that usually leads to genetic dead ends. 661 00:34:19,123 --> 00:34:20,422 Ugh! 662 00:34:21,591 --> 00:34:24,593 But what if Peter could escape the randomness 663 00:34:24,595 --> 00:34:26,595 of natural selection? 664 00:34:26,597 --> 00:34:29,464 Ward: Up until we became a technical species, 665 00:34:29,466 --> 00:34:31,967 we were, like every other species, 666 00:34:31,969 --> 00:34:33,702 at mercy to the randomness 667 00:34:33,704 --> 00:34:37,039 and to, really, the nastiness of evolution. 668 00:34:37,041 --> 00:34:38,940 The next stage of human evolution 669 00:34:38,942 --> 00:34:40,742 is going to be we humans 670 00:34:40,744 --> 00:34:44,680 tinkering right into the genome itself. 671 00:34:46,082 --> 00:34:50,185 Not only can we change people in their lifetime, 672 00:34:50,187 --> 00:34:54,122 but we'll be able to change their very DNA 673 00:34:54,124 --> 00:34:55,924 so that they and their changes 674 00:34:55,926 --> 00:34:58,393 get passed on to the next generation. 675 00:34:58,395 --> 00:35:01,263 Freeman: With this type of directed evolution, 676 00:35:01,265 --> 00:35:04,533 Peter does not have to blindly depend on chance 677 00:35:04,535 --> 00:35:07,669 to get him where he wants to go. 678 00:35:10,073 --> 00:35:12,140 Waterfront Seafood Grill. 679 00:35:18,247 --> 00:35:20,082 Genetic technology 680 00:35:20,084 --> 00:35:23,251 could take you on a direct route from "A" to "B", 681 00:35:23,253 --> 00:35:25,253 as long as you can pay for the ride. 682 00:35:25,255 --> 00:35:27,556 [ Tires screech ] Peter believes that once humans 683 00:35:27,558 --> 00:35:30,092 start pursuing unnatural selection, 684 00:35:30,094 --> 00:35:33,328 we will diverge into two separate races -- 685 00:35:33,330 --> 00:35:36,732 those who are left rolling the evolutionary dice 686 00:35:36,734 --> 00:35:41,436 and those who can afford to design their own genome. 687 00:35:41,438 --> 00:35:44,239 All right. Thank you much. 688 00:35:44,241 --> 00:35:46,541 Halibut. Thanks. 689 00:35:46,543 --> 00:35:49,544 I could see a point where once the differences 690 00:35:49,546 --> 00:35:51,213 we engineer into ourselves 691 00:35:51,215 --> 00:35:53,715 are so different from what you find 692 00:35:53,717 --> 00:35:55,717 in the wild, stock humans 693 00:35:55,719 --> 00:35:58,620 versus the genetically engineered humans, 694 00:35:58,622 --> 00:36:00,455 there will be a divergence. 695 00:36:00,457 --> 00:36:02,691 If you had children that bred 696 00:36:02,693 --> 00:36:04,326 with other children with these enhancements, 697 00:36:04,328 --> 00:36:05,727 it keeps going. 698 00:36:05,729 --> 00:36:08,663 You're gonna see a social drifting apart. 699 00:36:08,665 --> 00:36:10,499 And speciation happens 700 00:36:10,501 --> 00:36:15,170 when gene pools separate -- populations separate. 701 00:36:15,172 --> 00:36:18,273 Freeman: It is a grim vision of the future -- 702 00:36:18,275 --> 00:36:20,475 a global gated community 703 00:36:20,477 --> 00:36:24,613 of super-rich, long-lived human 2.0's 704 00:36:24,615 --> 00:36:27,282 hogging all the resources... 705 00:36:27,284 --> 00:36:30,986 And a completely separate species of people 706 00:36:30,988 --> 00:36:33,221 who can barely survive. 707 00:36:33,223 --> 00:36:35,123 But another technological course 708 00:36:35,125 --> 00:36:38,226 is driving us in a different direction. 709 00:36:39,762 --> 00:36:43,064 The next big leap toward creating a superior human race 710 00:36:43,066 --> 00:36:45,667 may come from us putting aside our differences 711 00:36:45,669 --> 00:36:49,204 and putting our heads together. 712 00:36:51,451 --> 00:36:54,386 Earth is already a crowded place. 713 00:36:54,388 --> 00:36:56,288 And by the end of this century, 714 00:36:56,290 --> 00:37:00,592 the human population will probably reach 11 billion. 715 00:37:00,594 --> 00:37:04,730 We'll be packed in as tightly as bees in a hive. 716 00:37:04,732 --> 00:37:07,299 That prospect has inspired some scientists 717 00:37:07,301 --> 00:37:10,268 to envision a new evolution of mankind. 718 00:37:10,270 --> 00:37:13,372 Just as insect colonies share the workload, 719 00:37:13,374 --> 00:37:17,509 perhaps we can learn to harness the power of multiple brains 720 00:37:17,511 --> 00:37:22,447 and create a vastly superior global hive mind. 721 00:37:25,418 --> 00:37:28,487 "Sandy" Pentland is the head of the Human Dynamics Lab 722 00:37:28,489 --> 00:37:29,888 at M.I.T. 723 00:37:29,890 --> 00:37:32,624 He's a pioneer of a new field of research -- 724 00:37:32,626 --> 00:37:35,427 computational social science. 725 00:37:35,429 --> 00:37:37,262 Sandy believes humanity 726 00:37:37,264 --> 00:37:40,732 is about to become a smarter, superior species -- 727 00:37:40,734 --> 00:37:42,601 not because we're going to evolve 728 00:37:42,603 --> 00:37:44,736 at the individual level, 729 00:37:44,738 --> 00:37:48,006 but through a transformation in the way we work together. 730 00:37:48,008 --> 00:37:49,875 Pentland: So, human organizations 731 00:37:49,877 --> 00:37:52,477 are a little bit like an information machine. 732 00:37:52,479 --> 00:37:54,613 The gears not only have to fit together, 733 00:37:54,615 --> 00:37:56,214 but they have to be synchronized 734 00:37:56,216 --> 00:37:59,484 so that they work together rather than against each other. 735 00:37:59,486 --> 00:38:01,753 So, this desire to synchronize 736 00:38:01,755 --> 00:38:04,923 is something that's very ancient in our species, 737 00:38:04,925 --> 00:38:07,492 and you see it in dance and also in music, 738 00:38:07,494 --> 00:38:09,928 like here with the M.I.T. Logarhythms, 739 00:38:09,930 --> 00:38:12,164 where bass comes in. 740 00:38:12,166 --> 00:38:15,767 Bass: ♪ we 741 00:38:15,769 --> 00:38:17,903 Pentland: And the baritone comes in. 742 00:38:17,905 --> 00:38:20,439 Baritones: ♪ are Bass: ♪ we 743 00:38:20,441 --> 00:38:22,040 Pentland: And the tenor. 744 00:38:22,042 --> 00:38:28,113 Tenors: ♪ we are Baritones: ♪ are Bass: ♪ we 745 00:38:28,115 --> 00:38:30,849 and then they meld together into a whole. 746 00:38:30,851 --> 00:38:32,651 ♪ We ♪ we are 747 00:38:32,653 --> 00:38:34,786 ♪ we ♪ we are ♪ we are 748 00:38:34,788 --> 00:38:37,222 ♪ we ♪ we are ♪ we are 749 00:38:37,224 --> 00:38:39,491 Pentland: Music like this is an example of something 750 00:38:39,493 --> 00:38:42,194 that's much bigger than just the individuals. 751 00:38:42,196 --> 00:38:45,764 ♪ We are 752 00:38:45,766 --> 00:38:48,700 Freeman: Humans are naturally social creatures. 753 00:38:48,702 --> 00:38:50,702 We developed language and culture 754 00:38:50,704 --> 00:38:54,339 to trade knowledge and share experiences. 755 00:38:54,341 --> 00:38:57,409 Sandy believes that we are about to supercharge 756 00:38:57,411 --> 00:39:00,045 the degree to which we share knowledge, 757 00:39:00,047 --> 00:39:05,117 thanks to a quantum leap in communication technology. 758 00:39:05,119 --> 00:39:08,386 One of the most profound changes has happened in the last decade. 759 00:39:08,388 --> 00:39:10,322 And something that's not well appreciated 760 00:39:10,324 --> 00:39:12,390 is the fact that we all carry around phones, 761 00:39:12,392 --> 00:39:14,759 and these are getting smarter and smarter. 762 00:39:14,761 --> 00:39:16,328 Take traffic, for example. 763 00:39:16,330 --> 00:39:20,198 You can now look on your phone or on your car dashboard 764 00:39:20,200 --> 00:39:24,069 and see how dense the traffic is and get real-time updates. 765 00:39:24,071 --> 00:39:26,872 Technology that lets us share pictures, 766 00:39:26,874 --> 00:39:29,174 share stories in a way we never could 767 00:39:29,176 --> 00:39:31,243 and just turns the clock right up more. 768 00:39:31,245 --> 00:39:32,844 That's all driven by those phones 769 00:39:32,846 --> 00:39:34,613 that people are carrying around. 770 00:39:34,615 --> 00:39:36,047 So, we're being able to make 771 00:39:36,049 --> 00:39:39,317 this sort of unified intelligence. 772 00:39:39,319 --> 00:39:41,019 Freeman: Handheld smart devices 773 00:39:41,021 --> 00:39:44,422 are getting us to work and think together like never before. 774 00:39:44,424 --> 00:39:46,725 They are merging humanity 775 00:39:46,727 --> 00:39:50,028 into a single interconnected mind 776 00:39:50,030 --> 00:39:51,730 that spans the globe, 777 00:39:51,732 --> 00:39:56,268 capable of feats no single brain could achieve. 778 00:39:56,270 --> 00:39:57,903 In 2009, 779 00:39:57,905 --> 00:40:00,505 the Defense Advanced Research Project Agency 780 00:40:00,507 --> 00:40:04,309 set a challenge designed specifically for hive minds. 781 00:40:04,311 --> 00:40:07,179 It placed 10 red balloons, 782 00:40:07,181 --> 00:40:09,748 each adorned with a special certificate, 783 00:40:09,750 --> 00:40:12,450 at secret locations across the U.S. 784 00:40:12,452 --> 00:40:15,120 It offered a $40,000 prize 785 00:40:15,122 --> 00:40:17,956 to the team that discovered the GPS coordinates 786 00:40:17,958 --> 00:40:20,926 of all 10 balloons the fastest. 787 00:40:20,928 --> 00:40:24,229 Thousands of teams took up the challenge. 788 00:40:24,231 --> 00:40:26,932 Sandy's plan was to engage 789 00:40:26,934 --> 00:40:32,304 a swarm of cell-toting, social-media-connected minds. 790 00:40:32,306 --> 00:40:35,473 And what we did is we leveraged social media 791 00:40:35,475 --> 00:40:37,042 in a very creative way. 792 00:40:37,044 --> 00:40:39,844 So, I wouldn't just give you a prize for finding a balloon. 793 00:40:39,846 --> 00:40:43,615 I'd give you a prize for recruiting people, 794 00:40:43,617 --> 00:40:45,984 one of whom might find the balloon. 795 00:40:45,986 --> 00:40:48,420 So, if they found the balloon, you'd get some, too. 796 00:40:48,422 --> 00:40:51,556 And what this does is it creates a cascade. 797 00:40:51,558 --> 00:40:53,858 Thousands and thousands of people, 798 00:40:53,860 --> 00:40:56,661 all recruiting their friends to look for the balloon 799 00:40:56,663 --> 00:40:59,764 because it's in their interest to do that. 800 00:40:59,766 --> 00:41:03,068 Freeman: Sandy's method worked incredibly well. 801 00:41:03,070 --> 00:41:07,072 His M.I.T. team bagged photos of all 10 balloons, 802 00:41:07,074 --> 00:41:11,209 uncovered in places like San Francisco's Union Square 803 00:41:11,211 --> 00:41:12,978 and a tennis court in Virginia, 804 00:41:12,980 --> 00:41:15,547 in just nine hours. 805 00:41:15,549 --> 00:41:17,249 They were able to find the balloons 806 00:41:17,251 --> 00:41:19,150 faster than anybody else in the world -- 807 00:41:19,152 --> 00:41:21,052 in fact, in a time 808 00:41:21,054 --> 00:41:23,788 that they generally thought was impossible. 809 00:41:23,790 --> 00:41:27,892 In social species, there's a drive to be social. 810 00:41:27,894 --> 00:41:30,428 If you ask, "What's the number-one thing 811 00:41:30,430 --> 00:41:32,030 that contributes to life satisfaction?" 812 00:41:32,032 --> 00:41:34,733 It's building things with other people. 813 00:41:34,735 --> 00:41:37,168 And what we've done is developed technology 814 00:41:37,170 --> 00:41:39,404 to try and help us do that. 815 00:41:42,441 --> 00:41:45,977 Freeman: Imagine a sea of humanity with instant awareness of events 816 00:41:45,979 --> 00:41:50,615 taking place over ranges of thousands of miles. 817 00:41:50,617 --> 00:41:52,684 We could trace the source of a viral epidemic 818 00:41:52,686 --> 00:41:55,754 to one apartment block in a matter of hours, 819 00:41:55,756 --> 00:41:58,423 just by seeing who was staying home from work 820 00:41:58,425 --> 00:42:00,759 with their cellphone turned on. 821 00:42:00,761 --> 00:42:03,962 We could solve age-old problems of hunger and poverty 822 00:42:03,964 --> 00:42:07,032 by tracking supply and demand for food 823 00:42:07,034 --> 00:42:09,334 on a minute-to-minute basis. 824 00:42:09,336 --> 00:42:11,169 Pentland: What you'll see in the future, 825 00:42:11,171 --> 00:42:14,184 where we're able to pool our experience 826 00:42:14,209 --> 00:42:17,022 to make all of our individual experiences better. 827 00:42:20,052 --> 00:42:23,100 Freeman: So, what is the future of race? 828 00:42:24,158 --> 00:42:27,751 Genetics tells us that there are subtle differences between us. 829 00:42:27,776 --> 00:42:29,960 Both on the inside and the outside. 830 00:42:30,815 --> 00:42:33,464 Those differences emerged as we wandered the Earth 831 00:42:33,489 --> 00:42:37,177 as separate tribes, for more than 50,000 years. 832 00:42:37,844 --> 00:42:41,571 But now, something new is happening in human history. 833 00:42:41,596 --> 00:42:44,287 We don't have room to be separate anymore. 834 00:42:44,920 --> 00:42:49,231 Technology, combined with our deep instinct to work together 835 00:42:49,563 --> 00:42:53,591 is about to push us one giant step forward. 836 00:42:53,697 --> 00:42:56,873 And will create not a superior race, 837 00:42:57,346 --> 00:43:01,566 but a superior species, to which we will all belong. 838 00:43:01,782 --> 00:43:05,782 == sync, corrected by elderman ==66672

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