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These are the user uploaded subtitles that are being translated: 1 00:00:00,841 --> 00:00:03,176 Freeman: Are the wealthy just born 2 00:00:03,178 --> 00:00:05,929 in the right place at the right time, 3 00:00:05,931 --> 00:00:08,648 or are the poor victims of a system 4 00:00:08,650 --> 00:00:10,567 designed to keep them down? 5 00:00:10,569 --> 00:00:12,552 Perhaps physics and biology 6 00:00:12,554 --> 00:00:15,238 determine who's rich and who's poor. 7 00:00:17,108 --> 00:00:19,275 Many hope to erase the divide 8 00:00:19,277 --> 00:00:22,112 between the haves and the have nots, 9 00:00:22,114 --> 00:00:27,500 but what if nature demands winners and losers in life? 10 00:00:27,502 --> 00:00:30,703 Could poverty be genetic? 11 00:00:36,260 --> 00:00:41,097 Space, time, life itself. 12 00:00:42,916 --> 00:00:47,637 The secrets of the cosmos lie through the wormhole. 13 00:00:47,639 --> 00:00:51,639 Through the Wormhole 05x03 Is Poverty Genetic? Original Air Date on June 5, 2013 14 00:00:51,664 --> 00:00:57,664 == sync, corrected by elderman == @elder_man 15 00:01:00,886 --> 00:01:06,924 Pharaohs, kings, great industrialists and C.E.O.s. 16 00:01:06,926 --> 00:01:08,459 Throughout history, 17 00:01:08,461 --> 00:01:11,729 a select few have claimed enormous wealth 18 00:01:11,731 --> 00:01:13,164 as a birthright. 19 00:01:13,166 --> 00:01:17,368 Some of them say they also inherit qualities and virtues 20 00:01:17,370 --> 00:01:19,070 that keep them rich. 21 00:01:19,072 --> 00:01:22,473 Could the chasm that separates rich and poor 22 00:01:22,475 --> 00:01:24,842 really be the result of our DNA? 23 00:01:24,844 --> 00:01:27,778 Scientists are trying to discover 24 00:01:27,780 --> 00:01:31,916 if there is a biological reason the rich stay rich 25 00:01:31,918 --> 00:01:35,503 and whether equality and prosperity for all 26 00:01:35,505 --> 00:01:37,955 contradict the laws of nature. 27 00:01:40,009 --> 00:01:43,261 Where I grew up, nobody had much money. 28 00:01:43,263 --> 00:01:45,179 Nobody we knew, anyhow. 29 00:01:45,181 --> 00:01:48,316 Rich people were out there, somewhere, 30 00:01:48,318 --> 00:01:52,153 but to us, they may as well have been Martians. 31 00:01:52,155 --> 00:01:53,521 Money was so scarce 32 00:01:53,523 --> 00:01:56,074 that I went around the neighborhood 33 00:01:56,076 --> 00:01:57,525 collecting bottles. 34 00:01:57,527 --> 00:02:01,312 I traded them in when I had enough to get into the movies. 35 00:02:01,314 --> 00:02:04,949 Now, of course, things are different for me. 36 00:02:04,951 --> 00:02:06,534 I'm in the movies. 37 00:02:06,536 --> 00:02:08,819 Money isn't much of a worry. 38 00:02:08,821 --> 00:02:12,924 My experience shows that being born poor 39 00:02:12,926 --> 00:02:16,544 is not necessarily a life sentence. 40 00:02:16,546 --> 00:02:20,098 But for billions of people around the world, 41 00:02:20,100 --> 00:02:24,385 poverty passes from generation to generation without end. 42 00:02:24,387 --> 00:02:28,672 We inherit property, or the lack of it, from our parents. 43 00:02:28,674 --> 00:02:31,342 We also inherit our parents' DNA, 44 00:02:31,344 --> 00:02:34,845 and for as long as we've known about genetics, 45 00:02:34,847 --> 00:02:37,865 scientists have been wondering if there is a connection 46 00:02:37,867 --> 00:02:40,701 between our money and our genes. 47 00:02:40,703 --> 00:02:46,357 Genes are pieces of code that tell your body how to function. 48 00:02:46,359 --> 00:02:50,495 There are about 25,000 genes in human DNA. 49 00:02:50,497 --> 00:02:54,415 How do they affect our personalities? 50 00:02:54,417 --> 00:02:55,967 These are questions 51 00:02:55,969 --> 00:02:59,554 University of Virginia Professor Eric Turkheimer 52 00:02:59,556 --> 00:03:01,672 has been asking for 20 years. 53 00:03:01,674 --> 00:03:07,711 Eric studies the genetics of complex human behavior. 54 00:03:07,713 --> 00:03:10,098 One way you can think about the role 55 00:03:10,100 --> 00:03:11,732 that individual genes play 56 00:03:11,734 --> 00:03:14,519 in the creation of complex genetic effects 57 00:03:14,521 --> 00:03:17,822 is that it's like the role that an individual thread 58 00:03:17,824 --> 00:03:21,742 might play in the creation of a complex tapestry. 59 00:03:21,744 --> 00:03:24,662 You couldn't really understand the role of each thread 60 00:03:24,664 --> 00:03:26,864 one at a time, separate from the others. 61 00:03:26,866 --> 00:03:29,584 You have to know how each thread fits into the warp 62 00:03:29,586 --> 00:03:30,952 and woof of the fabric 63 00:03:30,954 --> 00:03:33,671 and how they all work together to create the pattern. 64 00:03:33,673 --> 00:03:37,575 Well, with genes, it's the same way. 65 00:03:39,962 --> 00:03:43,264 Freeman: These are the genetic interactions 66 00:03:43,266 --> 00:03:47,218 within just one of your 23 pairs of chromosomes. 67 00:03:47,220 --> 00:03:50,521 It's a highly interconnected, highly complex web 68 00:03:50,523 --> 00:03:52,857 of genetic factors. 69 00:03:52,859 --> 00:03:57,895 After the human genome was decoded in 2001, 70 00:03:57,897 --> 00:04:02,933 studies emerged claiming to find links between individual genes 71 00:04:02,935 --> 00:04:06,154 and characteristics like common sense, 72 00:04:06,156 --> 00:04:09,790 ambition, and perseverance. 73 00:04:09,792 --> 00:04:14,412 Some imagined we might soon be able to identify who was born 74 00:04:14,414 --> 00:04:17,465 to prosper and who was born to fail. 75 00:04:17,467 --> 00:04:20,301 This has frightening implications. 76 00:04:20,303 --> 00:04:25,556 Imagine banks demanding saliva tests before granting loans, 77 00:04:25,558 --> 00:04:28,809 custody battles decided by which parent 78 00:04:28,811 --> 00:04:31,762 has better financial genes, 79 00:04:31,764 --> 00:04:35,516 or entire races labeled as credit risks. 80 00:04:35,518 --> 00:04:37,235 But a decade later, 81 00:04:37,237 --> 00:04:41,739 the vast majority of these one-gene, one-trait studies 82 00:04:41,741 --> 00:04:43,741 have been proven wrong. 83 00:04:43,743 --> 00:04:46,661 Turkheimer: I think if you would ask me 20 years ago, 84 00:04:46,663 --> 00:04:50,998 "are we gonna know what the genes for human personality 85 00:04:51,000 --> 00:04:52,500 are in 20 years?" 86 00:04:52,502 --> 00:04:53,784 I think I would've said, 87 00:04:53,786 --> 00:04:55,670 "Yeah, sure, we'll know something." 88 00:04:55,672 --> 00:04:59,257 It's turning out that the way genetics works 89 00:04:59,259 --> 00:05:02,326 is more complicated in a way that doesn't allow us 90 00:05:02,328 --> 00:05:05,129 to identify the effects of individual genes. 91 00:05:05,131 --> 00:05:08,832 Freeman: So Eric has a new approach: 92 00:05:08,834 --> 00:05:13,170 Using statistical software to analyze the vast body of data 93 00:05:13,172 --> 00:05:16,691 collected around the world on twins. 94 00:05:18,026 --> 00:05:22,313 Are you shaped by your genes or by your environment? 95 00:05:22,315 --> 00:05:25,783 It's the problem that always gets in the way of studies 96 00:05:25,785 --> 00:05:30,238 on how genes are connected to complex traits. 97 00:05:30,240 --> 00:05:32,156 But twins offer a way 98 00:05:32,158 --> 00:05:36,244 to separate the effects of nature and nurture. 99 00:05:36,246 --> 00:05:41,549 Identical twins share virtually 100% of their genetic material. 100 00:05:41,551 --> 00:05:46,704 Fraternal twins share 50% of their genes. 101 00:05:46,706 --> 00:05:49,140 By comparing identical and fraternal twins, 102 00:05:49,142 --> 00:05:52,593 we were able to demonstrate in a general way 103 00:05:52,595 --> 00:05:58,382 that genes have effects on almost everything. 104 00:05:58,384 --> 00:06:01,602 Freeman: Eric began looking at very large samples 105 00:06:01,604 --> 00:06:04,221 of twins from all around the U.S. 106 00:06:04,223 --> 00:06:06,390 From all socioeconomic groups. 107 00:06:06,392 --> 00:06:11,228 He used I.Q. as a predictor of future wealth of a child, 108 00:06:11,230 --> 00:06:15,116 a link most studies find to be very strong. 109 00:06:15,118 --> 00:06:17,752 Turkheimer: What we found was quite surprising. 110 00:06:17,754 --> 00:06:20,588 Children raised in poverty, 111 00:06:20,590 --> 00:06:24,408 their home environment was by far the most important factor. 112 00:06:24,410 --> 00:06:27,578 Their genes seemed to play almost no role at all. 113 00:06:27,580 --> 00:06:31,849 Freeman: If a child with genes predisposing him or her 114 00:06:31,851 --> 00:06:33,968 to be a financial wizard 115 00:06:33,970 --> 00:06:37,921 is raised in an extremely harsh environment, 116 00:06:37,923 --> 00:06:41,759 that exceptional DNA may not shine through. 117 00:06:41,761 --> 00:06:44,362 Turkheimer: And then as you moved from kids 118 00:06:44,364 --> 00:06:47,064 raised in those really terrible circumstances 119 00:06:47,066 --> 00:06:50,318 up to kids raised in the middle class, 120 00:06:50,320 --> 00:06:53,821 the role of genes became more and more and more important, 121 00:06:53,823 --> 00:06:56,791 and once you got to the middle class or better, 122 00:06:56,793 --> 00:06:58,292 genes took over, 123 00:06:58,294 --> 00:07:01,412 and by the time you got to the wealthiest people in the study, 124 00:07:01,414 --> 00:07:04,081 genes were making all the difference. 125 00:07:06,385 --> 00:07:08,836 Freeman: Genes do have important effects 126 00:07:08,838 --> 00:07:12,456 on how rich or poor children will be when they grow up, 127 00:07:12,458 --> 00:07:15,309 but it's an effect that is only visible 128 00:07:15,311 --> 00:07:18,128 when kids grow up outside of poverty. 129 00:07:19,564 --> 00:07:21,232 Turkheimer: To some extent, 130 00:07:21,234 --> 00:07:25,102 it's probably true that people who wind up living in poverty 131 00:07:25,104 --> 00:07:27,638 have some kind of genetic difference 132 00:07:27,640 --> 00:07:30,658 from people who wind up making a lot of money. 133 00:07:30,660 --> 00:07:32,326 I think what our work has shown 134 00:07:32,328 --> 00:07:35,312 is that it doesn't matter what kind of genetic tendencies 135 00:07:35,314 --> 00:07:36,947 some of these kids may have had. 136 00:07:36,949 --> 00:07:39,450 If they're raised in a bad enough environment, 137 00:07:39,452 --> 00:07:41,285 they're not gonna be able to express them. 138 00:07:41,287 --> 00:07:43,704 Freeman: The tapestry of genes 139 00:07:43,706 --> 00:07:46,006 that make up you as an adult 140 00:07:46,008 --> 00:07:49,326 are shaped by the fabric of DNA you were born with 141 00:07:49,328 --> 00:07:52,847 and by the environment you grew up in. 142 00:07:52,849 --> 00:07:58,436 How can we overcome the cards that nature and nurture dealt us 143 00:07:58,438 --> 00:08:01,722 in the womb and the crib? 144 00:08:01,724 --> 00:08:05,342 A new study suggests our economic destiny 145 00:08:05,344 --> 00:08:08,529 may be determined by the time we are 12, 146 00:08:08,531 --> 00:08:11,365 because poverty can affect the brain. 147 00:08:11,367 --> 00:08:14,318 Martha Farah is the founder and director 148 00:08:14,320 --> 00:08:17,488 of the Center for Neuroscience and Society 149 00:08:17,490 --> 00:08:20,040 at the University of Pennsylvania. 150 00:08:20,042 --> 00:08:23,026 She has often wondered, 151 00:08:23,028 --> 00:08:25,996 "Why do poor children perform worse on I.Q. tests 152 00:08:25,998 --> 00:08:27,882 and in school?" 153 00:08:27,884 --> 00:08:30,200 Farah: Many different disciplines 154 00:08:30,202 --> 00:08:34,755 have tried to understand how it is that poverty 155 00:08:34,757 --> 00:08:37,591 shapes people's life chances. 156 00:08:37,593 --> 00:08:41,595 My colleagues and I are taking a neurobiological approach 157 00:08:41,597 --> 00:08:44,064 to this question. 158 00:08:44,066 --> 00:08:46,383 Freeman: Over the past few years, 159 00:08:46,385 --> 00:08:50,688 Martha and her colleagues have scanned the brain architecture 160 00:08:50,690 --> 00:08:52,406 of hundreds of children 161 00:08:52,408 --> 00:08:55,893 from a wide range of socioeconomic backgrounds. 162 00:08:55,895 --> 00:08:59,530 She has found there are physical differences 163 00:08:59,532 --> 00:09:03,250 between the brains of the rich and the poor. 164 00:09:03,252 --> 00:09:06,120 Farah: The question we asked was, 165 00:09:06,122 --> 00:09:09,340 "What parts of the brain are dependent 166 00:09:09,342 --> 00:09:11,241 "on that socioeconomic status 167 00:09:11,243 --> 00:09:15,930 for the size and shape that they eventually grow to?" 168 00:09:15,932 --> 00:09:19,750 What we found is that several important areas 169 00:09:19,752 --> 00:09:23,387 do show an effect of socioeconomic status. 170 00:09:23,389 --> 00:09:26,223 Freeman: Growing up in extreme poverty 171 00:09:26,225 --> 00:09:29,259 slows the growth of the hippocampus, 172 00:09:29,261 --> 00:09:34,097 which is important for learning, memory, and stress regulation, 173 00:09:34,099 --> 00:09:37,485 and it also shrinks the prefrontal cortex, 174 00:09:37,487 --> 00:09:42,156 which helps coordinate memory, perception, and motor control. 175 00:09:42,158 --> 00:09:46,961 Rich kids tend to have a thicker cortex than poor kids, 176 00:09:46,963 --> 00:09:48,946 but it is crucial to note 177 00:09:48,948 --> 00:09:52,917 the rich and poor aren't born with these differences. 178 00:09:52,919 --> 00:09:57,304 The brains of the poor start off the same as anyone else's. 179 00:09:57,306 --> 00:10:00,558 Their brains are, however, at greater risk 180 00:10:00,560 --> 00:10:03,727 of developing slowly in early childhood. 181 00:10:03,729 --> 00:10:06,814 It is not genetics that does the damage. 182 00:10:06,816 --> 00:10:11,235 It is lack of mental stimulation and the stresses of poverty. 183 00:10:13,638 --> 00:10:15,973 One difference we know exists 184 00:10:15,975 --> 00:10:19,660 between the childhood experiences of poor kids 185 00:10:19,662 --> 00:10:21,245 and wealthier kids 186 00:10:21,247 --> 00:10:25,983 is that the wealthier kids get more cognitive stimulation, 187 00:10:25,985 --> 00:10:30,988 everything from being read to, just being talked to, 188 00:10:30,990 --> 00:10:32,456 conversation, 189 00:10:32,458 --> 00:10:36,660 visits to interesting places, 190 00:10:36,662 --> 00:10:39,680 and we know that that promotes cognitive 191 00:10:39,682 --> 00:10:41,432 and brain development. 192 00:10:41,434 --> 00:10:44,351 Freeman: But other forces can determine 193 00:10:44,353 --> 00:10:46,220 who is rich and who is poor, 194 00:10:46,222 --> 00:10:49,557 forces that govern not just individuals 195 00:10:49,559 --> 00:10:51,475 but entire nations. 196 00:10:51,477 --> 00:10:56,480 Today's rich man may be tomorrow's pauper, 197 00:10:56,482 --> 00:10:59,984 because wealth is often a matter of geography. 198 00:11:03,255 --> 00:11:05,122 Two millennia ago, 199 00:11:05,124 --> 00:11:07,625 if you wanted to get rich, 200 00:11:07,627 --> 00:11:09,660 you'd head for Rome. 201 00:11:09,662 --> 00:11:13,965 For the past century, you came to America. 202 00:11:13,967 --> 00:11:17,802 Now you might want to head for China. 203 00:11:17,804 --> 00:11:23,758 Why are certain places bursting with money at certain times? 204 00:11:23,760 --> 00:11:28,095 Why are some nations poorer than others? 205 00:11:28,097 --> 00:11:32,583 Two scientists have a radical explanation. 206 00:11:32,585 --> 00:11:37,772 Economies buzz because of the genetic mix 207 00:11:37,774 --> 00:11:40,641 of the people in them. 208 00:11:40,643 --> 00:11:45,196 These Ivy league economists may not look dangerous, 209 00:11:45,198 --> 00:11:49,901 but to the academic world, they are wild-eyed anarchists. 210 00:11:51,453 --> 00:11:52,820 A few years ago, 211 00:11:52,822 --> 00:11:55,606 Quamrul Ashraf of Williams College 212 00:11:55,608 --> 00:11:58,159 and Oded Galor of Brown University 213 00:11:58,161 --> 00:12:00,962 were looking to explain the disparity 214 00:12:00,964 --> 00:12:02,797 of wealth between nations. 215 00:12:02,799 --> 00:12:05,950 Their findings set off a raging debate 216 00:12:05,952 --> 00:12:08,052 about the roots of poverty. 217 00:12:08,054 --> 00:12:11,622 As economists, we are ultimately interested 218 00:12:11,624 --> 00:12:16,344 in understanding the origins of global inequality. 219 00:12:16,346 --> 00:12:19,630 Those origins lie in the distant past. 220 00:12:22,317 --> 00:12:25,152 Freeman: Oded and Quamrul set out to study 221 00:12:25,154 --> 00:12:27,071 the role genetic diversity 222 00:12:27,073 --> 00:12:28,823 has played in wealth distribution 223 00:12:28,825 --> 00:12:30,157 around the globe. 224 00:12:30,159 --> 00:12:34,695 They reached a surprising and unpopular conclusion. 225 00:12:34,697 --> 00:12:39,083 You know, Oded and I established that there is a cause and effect 226 00:12:39,085 --> 00:12:42,420 of genetic diversity on economic development 227 00:12:42,422 --> 00:12:45,172 that goes back to the distant past, 228 00:12:45,174 --> 00:12:47,708 and it persists through the present day. 229 00:12:47,710 --> 00:12:50,511 Initial conditions tend to be very persistent. 230 00:12:50,513 --> 00:12:54,331 These variations in conditions that go back, you know, 231 00:12:54,333 --> 00:12:58,302 80,000 to 40,000 years ago show up in the data today, 232 00:12:58,304 --> 00:12:59,971 and they're there. 233 00:12:59,973 --> 00:13:02,023 Evolutionary biologists 234 00:13:02,025 --> 00:13:06,861 find that the farther an indigenous group is from Africa, 235 00:13:06,863 --> 00:13:10,114 the less diverse it is genetically. 236 00:13:10,116 --> 00:13:13,317 Africans are the most genetically diverse 237 00:13:13,319 --> 00:13:17,855 because all the various peoples of the world originated there. 238 00:13:17,857 --> 00:13:20,691 The smaller groups that left Africa 239 00:13:20,693 --> 00:13:24,412 to settle in more distant lands are less diverse. 240 00:13:24,414 --> 00:13:27,798 Oded and Quamrul traced this genetic effect 241 00:13:27,800 --> 00:13:29,633 across 80,000 years. 242 00:13:29,635 --> 00:13:33,537 Then they compared it to markers of economic development 243 00:13:33,539 --> 00:13:35,473 over the last 2,000 years. 244 00:13:35,475 --> 00:13:40,344 Genetic diversity is responsible for about 1/6 245 00:13:40,346 --> 00:13:42,713 of the variations or the inequality 246 00:13:42,715 --> 00:13:46,267 that we see across the globe, which is a huge fraction. 247 00:13:46,269 --> 00:13:50,104 The economists found that too much or too little 248 00:13:50,106 --> 00:13:54,442 genetic diversity can be harmful to economic development. 249 00:13:54,444 --> 00:13:56,861 Throughout history, they claim, 250 00:13:56,863 --> 00:14:01,615 successful societies have been the ones that hit the sweet spot 251 00:14:01,617 --> 00:14:03,367 of genetic diversity. 252 00:14:08,290 --> 00:14:10,908 In baseball, the sweet spot of the bat 253 00:14:10,910 --> 00:14:13,928 is about six inches from the end of the barrel. 254 00:14:13,930 --> 00:14:17,932 This is where the performance of the bat is maximized 255 00:14:17,934 --> 00:14:21,519 and the hand sensation, or sting, is minimized. 256 00:14:21,521 --> 00:14:25,089 It is the spot where the bat is just right. 257 00:14:25,091 --> 00:14:26,974 There is a sweet spot. 258 00:14:26,976 --> 00:14:29,693 The sweet spot at the moment is associated 259 00:14:29,695 --> 00:14:32,863 with the level of diversity in the United States, 260 00:14:32,865 --> 00:14:35,099 and societies that are more diverse 261 00:14:35,101 --> 00:14:38,102 are more able to cope 262 00:14:38,104 --> 00:14:41,105 with this rapidly changing technological environment, 263 00:14:41,107 --> 00:14:44,158 and the degree of diversity is generating benefits 264 00:14:44,160 --> 00:14:47,111 in the context of innovations. 265 00:14:47,113 --> 00:14:51,082 But this is where it gets controversial, 266 00:14:51,084 --> 00:14:56,053 because if there is a perfect amount of genetic diversity, 267 00:14:56,055 --> 00:15:01,125 that means there are also less optimal mixtures of humanity. 268 00:15:01,127 --> 00:15:03,127 Oded and Quamrul found 269 00:15:03,129 --> 00:15:06,263 that societies lacking in genetic diversity 270 00:15:06,265 --> 00:15:09,183 tend not to be innovative. 271 00:15:09,185 --> 00:15:10,818 On the con side, 272 00:15:10,820 --> 00:15:14,321 societies that tend to be more diverse 273 00:15:14,323 --> 00:15:18,409 are less trustful, less cohesive, less coordinated. 274 00:15:18,411 --> 00:15:23,197 An overly diverse country, by this analysis, is the Congo, 275 00:15:23,199 --> 00:15:27,868 where ethnic groups have been dividing for over 50,000 years. 276 00:15:27,870 --> 00:15:30,037 Now it's mired in civil war. 277 00:15:30,039 --> 00:15:31,589 On the other hand, 278 00:15:31,591 --> 00:15:35,042 a country like Poland isn't diverse enough. 279 00:15:35,044 --> 00:15:39,130 It has only been inhabited for about 5,000 years. 280 00:15:39,132 --> 00:15:42,183 So it is very coherent ethnically, 281 00:15:42,185 --> 00:15:45,769 but it is not a powerhouse of innovation. 282 00:15:45,771 --> 00:15:50,558 Oded and Quamrul say a blend somewhere in the middle 283 00:15:50,560 --> 00:15:54,061 lets new voices emerge, promotes innovation, 284 00:15:54,063 --> 00:15:57,398 and leads to economic health. 285 00:15:57,400 --> 00:16:03,187 But some anthropologists say the economists are wrong. 286 00:16:03,189 --> 00:16:05,072 There is no sweet spot. 287 00:16:05,074 --> 00:16:08,859 They also charge that Oded and Quamrul's work 288 00:16:08,861 --> 00:16:12,129 could be used to justify discrimination 289 00:16:12,131 --> 00:16:13,631 or even genocide 290 00:16:13,633 --> 00:16:17,051 to reduce diversity in the name of economic progress. 291 00:16:17,053 --> 00:16:21,305 The professors say their work has been misunderstood 292 00:16:21,307 --> 00:16:24,391 because an appreciation of diversity 293 00:16:24,393 --> 00:16:26,644 can overcome its drawbacks. 294 00:16:26,646 --> 00:16:30,598 We can assure that societies that are overly diverse, 295 00:16:30,600 --> 00:16:32,566 such as the societies in Africa, 296 00:16:32,568 --> 00:16:35,819 can benefit from their level of diversity 297 00:16:35,821 --> 00:16:38,489 simply by assuring that, in fact, 298 00:16:38,491 --> 00:16:42,059 diversity is cherished, diversity is respected, 299 00:16:42,061 --> 00:16:45,029 and ethnic groups are being protected. 300 00:16:45,031 --> 00:16:47,281 We are not saying that there are some traits 301 00:16:47,283 --> 00:16:48,899 that are better than others 302 00:16:48,901 --> 00:16:50,751 for, you know, economic prosperity, 303 00:16:50,753 --> 00:16:53,420 both at an individual level or at the societal level. 304 00:16:53,422 --> 00:16:55,256 What we're saying is it's the mix. 305 00:16:55,258 --> 00:16:59,576 It appears that since human civilization began, 306 00:16:59,578 --> 00:17:02,412 some have always had more than others, 307 00:17:02,414 --> 00:17:05,049 be it individuals or nations. 308 00:17:05,051 --> 00:17:07,551 Wealth and power may change hands, 309 00:17:07,553 --> 00:17:09,970 but the difference remains. 310 00:17:09,972 --> 00:17:11,922 Can this be changed? 311 00:17:11,924 --> 00:17:15,776 Can we create a society in which there is wealth for everyone 312 00:17:15,778 --> 00:17:17,561 and not just a few? 313 00:17:17,563 --> 00:17:19,196 According to this man, 314 00:17:19,198 --> 00:17:21,815 the odds may be stacked against us. 315 00:17:21,817 --> 00:17:25,653 Poverty may be an inevitable outcome 316 00:17:25,655 --> 00:17:28,072 of the laws of physics. 317 00:17:32,636 --> 00:17:34,570 In the 19th century, 318 00:17:34,572 --> 00:17:37,406 physicists developed mathematics 319 00:17:37,408 --> 00:17:41,811 that could predict the seemingly random movements 320 00:17:41,813 --> 00:17:43,512 of gas molecules. 321 00:17:44,781 --> 00:17:49,318 Today, Wall Street is full of physicists 322 00:17:49,320 --> 00:17:52,321 trying to find similar equations 323 00:17:52,323 --> 00:17:55,658 to predict the movement of money. 324 00:17:55,660 --> 00:17:58,611 They haven't been very successful, 325 00:17:58,613 --> 00:18:00,696 but that could be because 326 00:18:00,698 --> 00:18:04,033 they're overlooking one crucial factor. 327 00:18:04,035 --> 00:18:08,737 The rich don't play by the same rules as everyone else. 328 00:18:11,541 --> 00:18:16,245 Victor Yakovenko is looking for the causes of income disparity. 329 00:18:16,247 --> 00:18:19,632 A Professor at the University of Maryland, 330 00:18:19,634 --> 00:18:23,135 Victor helped create econophysics. 331 00:18:23,137 --> 00:18:28,274 He used the science of thermodynamics to study markets, 332 00:18:28,276 --> 00:18:30,926 capital, and earning power. 333 00:18:30,928 --> 00:18:34,897 Victor has found there are really two economies: 334 00:18:34,899 --> 00:18:38,484 One for the rich and one for everyone else. 335 00:18:38,486 --> 00:18:41,603 Yakovenko: My message is, there's no such thing as middle class, 336 00:18:41,605 --> 00:18:43,489 because if I wanted to draw a boundary 337 00:18:43,491 --> 00:18:46,208 to define the middle class, I don't know where to put it. 338 00:18:46,210 --> 00:18:48,043 Data has no features, no structures. 339 00:18:48,045 --> 00:18:49,945 Data shows me that there are only two classes: 340 00:18:49,947 --> 00:18:51,547 Lower class and upper class. That's it. 341 00:18:51,549 --> 00:18:55,668 Freeman: Victor's data shows 97% of the population 342 00:18:55,670 --> 00:19:00,256 is in the lower class and 3% is in the upper class. 343 00:19:00,258 --> 00:19:05,394 For example, today, there are about 1,500 multi-billionaires 344 00:19:05,396 --> 00:19:06,929 in the world 345 00:19:06,931 --> 00:19:11,567 and 2 billion people who live on less than $2 a day. 346 00:19:11,569 --> 00:19:15,104 Of the 311 million people in America, 347 00:19:15,106 --> 00:19:19,441 the 9 million at the top have most of the money. 348 00:19:19,443 --> 00:19:22,978 In this vault, we put 100 gold bars 349 00:19:22,980 --> 00:19:25,748 to illustrate probability distribution 350 00:19:25,750 --> 00:19:28,918 of income and wealth in the American economy. 351 00:19:28,920 --> 00:19:32,154 So, here we have different levels. 352 00:19:32,156 --> 00:19:33,488 Poor people with low income, 353 00:19:33,490 --> 00:19:35,157 and then progressively higher income. 354 00:19:35,159 --> 00:19:39,461 These three shelves represent 50% of the population -- 355 00:19:39,463 --> 00:19:41,630 a half of the population -- 356 00:19:41,632 --> 00:19:44,350 and all this total income of the half of the population, 357 00:19:44,352 --> 00:19:46,802 you count these bars, it's only 10 bars out of 100. 358 00:19:46,804 --> 00:19:49,722 In other words, the lower 50% of population 359 00:19:49,724 --> 00:19:53,008 receives only 10% of total income of the system. 360 00:19:53,010 --> 00:19:54,727 That's income inequality. 361 00:19:54,729 --> 00:19:59,514 Freeman: This imbalance between the haves and have nots, 362 00:19:59,516 --> 00:20:03,652 though dramatic, is not unique to the U.S. 363 00:20:03,654 --> 00:20:05,988 Yakovenko: Pretty much any society has inequality -- 364 00:20:05,990 --> 00:20:08,374 a few rich people, many poor people -- 365 00:20:08,376 --> 00:20:10,292 and it's a persistent feature 366 00:20:10,294 --> 00:20:12,027 of pretty much all societies. 367 00:20:12,029 --> 00:20:13,162 And so I said, 368 00:20:13,164 --> 00:20:15,664 maybe there's some kind of deep reason for this, 369 00:20:15,666 --> 00:20:19,051 and maybe we can understand them by knowledge of its physics. 370 00:20:19,053 --> 00:20:22,221 Freeman: Victor took concepts from physics, 371 00:20:22,223 --> 00:20:25,140 such as the behavior of molecules, 372 00:20:25,142 --> 00:20:28,143 and applied them to financial data. 373 00:20:28,145 --> 00:20:31,263 He discovered that in virtually all countries, 374 00:20:31,265 --> 00:20:33,649 there is the economy of the rich 375 00:20:33,651 --> 00:20:37,269 and a very different economy for everyone else. 376 00:20:37,271 --> 00:20:43,659 In America, the 3% with incomes greater than $150,000 a year 377 00:20:43,661 --> 00:20:45,778 might as well live in a different reality 378 00:20:45,780 --> 00:20:48,563 than the less well-off 97%. 379 00:20:48,565 --> 00:20:53,369 Victor calls them the thermal and the superthermal economies. 380 00:20:53,371 --> 00:20:57,572 Each behaves in ways physicists find eerily familiar. 381 00:20:57,574 --> 00:21:00,092 Consider this pot of boiling water. 382 00:21:00,094 --> 00:21:03,178 The water molecules in the pot jiggle around 383 00:21:03,180 --> 00:21:06,432 and bump into each other with no apparent order, 384 00:21:06,434 --> 00:21:09,584 but these random movements actually fit a pattern 385 00:21:09,586 --> 00:21:11,637 called a Boltzmann distribution. 386 00:21:11,639 --> 00:21:14,923 It describes how energy is spread between particles 387 00:21:14,925 --> 00:21:17,476 when they achieve thermal equilibrium. 388 00:21:17,478 --> 00:21:19,812 So, we see this distribution in physics 389 00:21:19,814 --> 00:21:22,398 when atoms collide and redistribute energy, 390 00:21:22,400 --> 00:21:24,733 but we also see the same distribution 391 00:21:24,735 --> 00:21:26,151 in distribution of money. 392 00:21:26,153 --> 00:21:28,070 Freeman: Strangely enough, 393 00:21:28,072 --> 00:21:32,408 this is how money is scattered across 97% of the population. 394 00:21:32,410 --> 00:21:36,378 Even if everyone starts out with equal amounts of cash, 395 00:21:36,380 --> 00:21:40,749 over time, the money spreads out in a Boltzmann distribution. 396 00:21:40,751 --> 00:21:43,719 There will be lots of people in the middle, 397 00:21:43,721 --> 00:21:48,507 and fewer who are very poor or relatively wealthy, 398 00:21:48,509 --> 00:21:53,012 but for the 3% at the top, it's a very different story. 399 00:21:53,014 --> 00:21:55,230 The thermal economy gives way 400 00:21:55,232 --> 00:21:58,817 to what Victor calls the superthermal economy. 401 00:21:58,819 --> 00:22:03,238 The superthermal economy is like the high-energy molecules 402 00:22:03,240 --> 00:22:07,359 that break free of boiling water and escape as steam. 403 00:22:07,361 --> 00:22:11,330 Yakovenko: The molecules of water, they have certain temperature. 404 00:22:11,332 --> 00:22:13,815 So the vapor here would be the analog of the upper class, 405 00:22:13,817 --> 00:22:15,167 because these are the molecules 406 00:22:15,169 --> 00:22:16,752 with the highest possible energy. 407 00:22:16,754 --> 00:22:19,338 Freeman: These high-energy molecules 408 00:22:19,340 --> 00:22:21,757 no longer follow a Boltzmann distribution. 409 00:22:21,759 --> 00:22:26,128 Instead, they are governed by a power law, 410 00:22:26,130 --> 00:22:29,298 a distribution that has no upper limit. 411 00:22:32,352 --> 00:22:37,189 So, why are there two economies with two sets of rules? 412 00:22:37,191 --> 00:22:40,526 The 97% of the population in the lower classes 413 00:22:40,528 --> 00:22:43,445 live off the money from their paycheck. 414 00:22:43,447 --> 00:22:47,032 Meanwhile, the upper class invests its money 415 00:22:47,034 --> 00:22:49,485 in financial markets and property. 416 00:22:49,487 --> 00:22:52,404 Unlike people living on a fixed wage, 417 00:22:52,406 --> 00:22:55,157 the rich have their money in a part of the economy 418 00:22:55,159 --> 00:22:56,992 that has no limits. 419 00:22:56,994 --> 00:23:01,630 Like steam, it has escaped the boundaries of the pot. 420 00:23:01,632 --> 00:23:04,666 The pattern stretches across history 421 00:23:04,668 --> 00:23:06,885 from ancient Egypt to today. 422 00:23:06,887 --> 00:23:10,255 No matter how equal a nation starts, 423 00:23:10,257 --> 00:23:13,509 this pattern seems to take over. 424 00:23:13,511 --> 00:23:15,727 Take Israel. 425 00:23:15,729 --> 00:23:18,147 When formed in 1948, 426 00:23:18,149 --> 00:23:22,568 Israel was a highly egalitarian country with a socialist bent. 427 00:23:22,570 --> 00:23:27,856 By design, people had more or less the same income. 428 00:23:27,858 --> 00:23:31,393 But Israel's income distribution slowly broadened, 429 00:23:31,395 --> 00:23:35,914 and by 1990, it, too, had reached the shape 430 00:23:35,916 --> 00:23:39,118 of a thermal economy. 431 00:23:39,120 --> 00:23:40,252 So, in 40 years or so, 432 00:23:40,254 --> 00:23:42,204 it evolved from highly equal distribution 433 00:23:42,206 --> 00:23:43,922 to this broad unequal distribution, 434 00:23:43,924 --> 00:23:47,909 and after that, I believe, it developed upper class, 435 00:23:47,911 --> 00:23:51,246 the superthermal tail, even higher inequality. 436 00:23:51,248 --> 00:23:55,551 Equality, perfect equality, is totally unstable. Okay? 437 00:23:55,553 --> 00:23:57,886 Once you engage into any transaction, 438 00:23:57,888 --> 00:23:59,354 equality goes away. 439 00:23:59,356 --> 00:24:05,194 The super rich operate by their own separate physical laws, 440 00:24:05,196 --> 00:24:10,866 but they have to live on the same planet as the poor. 441 00:24:10,868 --> 00:24:16,071 Biology could hold the key to our mutual survival. 442 00:24:20,073 --> 00:24:23,335 Charles Darwin saw life on earth 443 00:24:23,453 --> 00:24:26,487 as a bitter struggle for survival. 444 00:24:26,489 --> 00:24:28,673 That seems like carte blanche 445 00:24:28,675 --> 00:24:31,626 for the rich to take what they want. 446 00:24:31,628 --> 00:24:33,160 Greed is king, 447 00:24:33,162 --> 00:24:37,665 but our understanding of evolution is evolving. 448 00:24:37,667 --> 00:24:42,937 Cooperation and community may be just as essential 449 00:24:42,939 --> 00:24:46,941 to our survival as selfishness. 450 00:24:50,312 --> 00:24:55,283 Tracy Mincer studies the oldest communities on earth: 451 00:24:55,285 --> 00:24:57,402 Colonies of microbes. 452 00:24:57,404 --> 00:25:01,406 Working out of the Woods Hole Oceanographic Institute 453 00:25:01,408 --> 00:25:02,857 in Massachusetts, 454 00:25:02,859 --> 00:25:06,044 Tracy and his team of microbiologists 455 00:25:06,046 --> 00:25:11,215 travel the world gathering exotic microorganisms. 456 00:25:11,217 --> 00:25:13,001 I feel like I'm really looking 457 00:25:13,003 --> 00:25:16,203 at some of the last wilderness left on earth to explore 458 00:25:16,205 --> 00:25:20,708 because what we're seeing is wilderness in a tube. 459 00:25:20,710 --> 00:25:24,345 We're harvesting microbes from their wild sources 460 00:25:24,347 --> 00:25:27,065 and looking at how they're working. 461 00:25:27,067 --> 00:25:32,070 Freeman: Single-celled organisms are everywhere: 462 00:25:32,072 --> 00:25:36,691 In the soil, in the trees, in our bodies. 463 00:25:36,693 --> 00:25:40,194 They were at the ground floor of evolution, 464 00:25:40,196 --> 00:25:41,946 but they are so tiny, 465 00:25:41,948 --> 00:25:45,450 millions can fit into the eye of a needle. 466 00:25:45,452 --> 00:25:46,868 Until recently, 467 00:25:46,870 --> 00:25:50,571 we could only see how these creatures functioned as a group. 468 00:25:50,573 --> 00:25:54,042 We couldn't see the molecular processes happening 469 00:25:54,044 --> 00:25:56,094 inside individual microbes. 470 00:25:56,096 --> 00:25:58,629 But that has all changed. 471 00:26:01,133 --> 00:26:04,102 Mincer: It's a very exciting time right now, 472 00:26:04,104 --> 00:26:08,356 because we can look at really big questions 473 00:26:08,358 --> 00:26:12,860 that were asked 40 or 50 years ago in science 474 00:26:12,862 --> 00:26:14,595 but were unanswerable 475 00:26:14,597 --> 00:26:18,449 because of the limitations in the technical tools. 476 00:26:18,451 --> 00:26:21,035 Now, with the revolution in genomics 477 00:26:21,037 --> 00:26:24,288 and sequencing and molecular biology and cloning, 478 00:26:24,290 --> 00:26:27,274 we can look at a single cell that's growing 479 00:26:27,276 --> 00:26:30,778 and see the signals that are being produced from it 480 00:26:30,780 --> 00:26:34,549 and understand what's happening at that single-cell level. 481 00:26:35,951 --> 00:26:39,053 Freeman: One would expect microbes to be ruled 482 00:26:39,055 --> 00:26:41,622 by the most basic laws of nature, 483 00:26:41,624 --> 00:26:43,391 survival of the fittest, 484 00:26:43,393 --> 00:26:46,394 where every organism fights for itself, 485 00:26:46,396 --> 00:26:50,348 but Tracy has found that even these simple creatures 486 00:26:50,350 --> 00:26:53,134 are capable of cooperation. 487 00:26:53,136 --> 00:26:56,737 Tracy watches how different strains of marine bacteria 488 00:26:56,739 --> 00:27:00,775 defend themselves against predators. 489 00:27:00,777 --> 00:27:03,861 He places a strain of vibrio ordalii, 490 00:27:03,863 --> 00:27:08,249 a bacterium that causes disease in fish, in a petri dish. 491 00:27:08,251 --> 00:27:10,317 Then he adds brine shrimp, 492 00:27:10,319 --> 00:27:13,754 predators that like to munch on bacterium. 493 00:27:13,756 --> 00:27:15,123 In self defense, 494 00:27:15,125 --> 00:27:19,210 some of the vibrio bacteria begin to produce a toxin 495 00:27:19,212 --> 00:27:22,346 that kills the predatory brine shrimp. 496 00:27:22,348 --> 00:27:26,267 This toxin does not kill vibrio's closest relatives, 497 00:27:26,269 --> 00:27:29,720 the members of what biologists call its guild. 498 00:27:29,722 --> 00:27:32,857 What's striking is that they never killed 499 00:27:32,859 --> 00:27:34,642 within their own guild. 500 00:27:34,644 --> 00:27:36,510 They killed only outside. 501 00:27:36,512 --> 00:27:38,846 Freeman: Even more surprisingly, 502 00:27:38,848 --> 00:27:43,184 the bacteria that make the antibiotics sacrifice themselves 503 00:27:43,186 --> 00:27:45,570 when they kill the brine shrimp. 504 00:27:45,572 --> 00:27:49,874 By taking one for the team, they protect the entire group. 505 00:27:49,876 --> 00:27:53,878 Down at the level of microbes, we see altruism: 506 00:27:53,880 --> 00:27:57,748 Self-sacrifice for the good of the community. 507 00:27:57,750 --> 00:28:01,669 Mincer: Altruism holds for microbes, 508 00:28:01,671 --> 00:28:05,706 because of these guild-type structures 509 00:28:05,708 --> 00:28:09,210 where it really is for the betterment of the microbes 510 00:28:09,212 --> 00:28:12,713 to be able to sacrifice. 511 00:28:12,715 --> 00:28:15,266 So, things aren't always fighting to the death 512 00:28:15,268 --> 00:28:16,267 at all times. 513 00:28:16,269 --> 00:28:19,604 It takes a group effort. 514 00:28:19,606 --> 00:28:21,989 Freeman: For organisms to cooperate, 515 00:28:21,991 --> 00:28:23,724 they need to communicate, 516 00:28:23,726 --> 00:28:28,729 the way that Tracy's team works to gather samples. 517 00:28:28,731 --> 00:28:32,450 But how do creatures with no brains or vocal chords 518 00:28:32,452 --> 00:28:36,070 convey a message that causes them to act together? 519 00:28:39,291 --> 00:28:42,260 The answer is embedded in nature. 520 00:28:42,262 --> 00:28:46,747 There is a chemical form of communication we cannot see 521 00:28:46,749 --> 00:28:50,084 but which is an essential part of life. 522 00:28:50,086 --> 00:28:55,556 The tree behind me has roots to get at elemental nutrients, 523 00:28:55,558 --> 00:28:58,926 and it has a giant trunk 524 00:28:58,928 --> 00:29:00,861 going up towards the light 525 00:29:00,863 --> 00:29:04,282 where this beautiful tree is harvesting light. 526 00:29:04,284 --> 00:29:06,067 Now, microbes have a real problem, 527 00:29:06,069 --> 00:29:08,102 because they're -- they're really tiny, 528 00:29:08,104 --> 00:29:11,939 and for them to be able to connect to elemental nutrients 529 00:29:11,941 --> 00:29:13,541 that they need 530 00:29:13,543 --> 00:29:15,626 and be able to have an energy source, 531 00:29:15,628 --> 00:29:17,545 they have to work together. 532 00:29:17,547 --> 00:29:23,167 Unlike us, where we have sight and we talk and can hear, 533 00:29:23,169 --> 00:29:24,885 microbes can't do any of that. 534 00:29:24,887 --> 00:29:28,389 They rely upon chemistry that they produce 535 00:29:28,391 --> 00:29:31,458 to be able to signal to one another. 536 00:29:31,460 --> 00:29:34,262 So they have to work with one another 537 00:29:34,264 --> 00:29:37,298 and coordinate with one another 538 00:29:37,300 --> 00:29:40,968 or fight others to keep others out. 539 00:29:40,970 --> 00:29:44,355 Freeman: Individuals may be selfish, 540 00:29:44,357 --> 00:29:46,941 but even the simplest organisms seem programmed 541 00:29:46,943 --> 00:29:49,610 to put the survival of the species 542 00:29:49,612 --> 00:29:51,829 ahead of their own needs. 543 00:29:51,831 --> 00:29:54,648 But at what point in our evolutionary past 544 00:29:54,650 --> 00:29:58,536 did we move beyond expedient cooperation 545 00:29:58,538 --> 00:30:01,488 and develop a sense of fairness? 546 00:30:01,490 --> 00:30:04,658 It may be linked to the ability of primates 547 00:30:04,660 --> 00:30:08,262 to communicate sophisticated emotions. 548 00:30:08,264 --> 00:30:11,098 This woman has found 549 00:30:11,100 --> 00:30:14,635 that while inequality is part of our genetic roots, 550 00:30:14,637 --> 00:30:17,638 so is a strong desire for fairness. 551 00:30:20,393 --> 00:30:23,828 When a pride of lions makes a kill, 552 00:30:23,830 --> 00:30:28,083 the dominant male will take the "lion's share." 553 00:30:28,085 --> 00:30:30,885 We accept this as nature's way. 554 00:30:30,887 --> 00:30:34,839 But when we see the rich taking more than they need, 555 00:30:34,841 --> 00:30:37,559 we cry, "not fair." 556 00:30:37,561 --> 00:30:42,681 This concept of fairness seems like just a modern human idea, 557 00:30:42,683 --> 00:30:46,551 but could it have been woven into us by evolution? 558 00:30:46,553 --> 00:30:51,940 Could other species have evolved to rage against inequity? 559 00:30:51,942 --> 00:30:58,697 Chimps share 98.5% of their genes with humans, 560 00:30:58,699 --> 00:31:00,999 and like the division between the super rich 561 00:31:01,001 --> 00:31:02,917 and everyone else in human society, 562 00:31:02,919 --> 00:31:06,538 chimp society is also unequally divided. 563 00:31:06,540 --> 00:31:10,341 A small group of Alpha males calls the shots 564 00:31:10,343 --> 00:31:12,577 and hoards the resources, 565 00:31:12,579 --> 00:31:15,930 while the rest live off the leftovers. 566 00:31:15,932 --> 00:31:18,633 The chimps lower in social rank are sicker, 567 00:31:18,635 --> 00:31:20,769 produce more stress hormones, 568 00:31:20,771 --> 00:31:23,605 and have trouble finding sexual partners. 569 00:31:23,607 --> 00:31:27,759 But according to evolutionary biologist Sarah Brosnan, 570 00:31:27,761 --> 00:31:31,362 chimps don't blindly accept their lot in life. 571 00:31:31,364 --> 00:31:35,066 Sarah is the director of the comparative economics 572 00:31:35,068 --> 00:31:37,702 and behavioral studies laboratory 573 00:31:37,704 --> 00:31:39,788 at Georgia State University. 574 00:31:39,790 --> 00:31:41,990 You need to go get your mom to come out here. 575 00:31:41,992 --> 00:31:43,291 She could use some grapes. 576 00:31:43,293 --> 00:31:46,077 Freeman: She looks for the origins 577 00:31:46,079 --> 00:31:48,279 of human social behavior. 578 00:31:48,281 --> 00:31:52,050 Brosnan: I am interested in the evolution of decision making. 579 00:31:52,052 --> 00:31:55,136 How did we get to where we make the decisions that we do? 580 00:31:55,138 --> 00:31:58,056 And you can't, obviously, study fossilized decisions, 581 00:31:58,058 --> 00:31:59,057 in most cases. 582 00:31:59,059 --> 00:32:01,292 So what we do is we study other primates, 583 00:32:01,294 --> 00:32:03,461 because as we ourselves are primates, 584 00:32:03,463 --> 00:32:05,647 they're sort of the closest we can get 585 00:32:05,649 --> 00:32:08,066 to understanding the evolutionary history. 586 00:32:09,652 --> 00:32:11,436 [ Object clangs ] 587 00:32:11,438 --> 00:32:14,856 Freeman: Sarah is particularly interested 588 00:32:14,858 --> 00:32:19,027 in how our primate cousins respond to inequity. 589 00:32:19,029 --> 00:32:20,745 Brosnan: So, inequality would be 590 00:32:20,747 --> 00:32:23,147 when individuals don't get exactly the same thing, 591 00:32:23,149 --> 00:32:26,117 whereas inequity would be when you get something 592 00:32:26,119 --> 00:32:28,336 that's not relative to the input. 593 00:32:28,338 --> 00:32:29,871 So, unequal pay would be 594 00:32:29,873 --> 00:32:32,323 we don't get exactly the same amount. 595 00:32:32,325 --> 00:32:35,677 Inequitable pay would be that maybe you do a harder job 596 00:32:35,679 --> 00:32:38,713 than me, but you're making the same salary as me. 597 00:32:38,715 --> 00:32:41,966 Freeman: Today, Sarah is conducting an experiment 598 00:32:41,968 --> 00:32:43,551 with Capuchin monkeys 599 00:32:43,553 --> 00:32:45,503 to see how they respond 600 00:32:45,505 --> 00:32:48,439 when one monkey gets a better reward than another. 601 00:32:50,676 --> 00:32:52,560 So, what we do is, we take two individuals 602 00:32:52,562 --> 00:32:53,812 from the same social group, 603 00:32:53,814 --> 00:32:55,346 and they sit next to one another, 604 00:32:55,348 --> 00:32:56,648 and they take turns doing a task 605 00:32:56,650 --> 00:32:58,182 and getting a food reward for it. 606 00:32:58,184 --> 00:33:00,401 So you can think of it as doing work and getting paid. 607 00:33:00,403 --> 00:33:03,872 Freeman: At first, both monkeys get bell peppers. 608 00:33:03,874 --> 00:33:06,074 Here you go. 609 00:33:06,076 --> 00:33:09,160 Then one monkey is rewarded with grapes. 610 00:33:09,162 --> 00:33:12,330 Keep in mind, they both like bell peppers, 611 00:33:12,332 --> 00:33:14,549 but they like grapes even more. 612 00:33:14,551 --> 00:33:19,370 After seeing his partner perform the same trick, 613 00:33:19,372 --> 00:33:24,542 but get a better reward, this monkey loses his cool. 614 00:33:24,544 --> 00:33:27,211 He starts tossing his peppers on the floor. 615 00:33:27,213 --> 00:33:29,046 Brosnan: I was really surprised 616 00:33:29,048 --> 00:33:31,983 when we got individuals actively refusing food rewards. 617 00:33:31,985 --> 00:33:34,319 So that's like giving your dog a milk-bone 618 00:33:34,321 --> 00:33:35,854 and having them turn it down 619 00:33:35,856 --> 00:33:38,773 because the dog down the street got a bigger milk-bone. 620 00:33:38,775 --> 00:33:41,576 You just don't expect something like that to happen. 621 00:33:41,578 --> 00:33:44,078 Freeman: Animals are willing to accept 622 00:33:44,080 --> 00:33:47,565 that a dominant male or female may get better food 623 00:33:47,567 --> 00:33:49,284 and a little more of it, 624 00:33:49,286 --> 00:33:51,169 but Sarah's research shows 625 00:33:51,171 --> 00:33:54,505 there comes a point where they won't accept it. 626 00:33:54,507 --> 00:33:58,009 And the animals in power seem to realize this. 627 00:33:58,011 --> 00:34:00,795 Some have even refused the grapes 628 00:34:00,797 --> 00:34:04,265 when they have seen their partner is upset. 629 00:34:04,267 --> 00:34:06,417 Just because you're the dominant individual, 630 00:34:06,419 --> 00:34:07,585 typically an Alpha male, 631 00:34:07,587 --> 00:34:09,721 doesn't mean that you get anything you want. 632 00:34:09,723 --> 00:34:11,556 So they typically have first access, 633 00:34:11,558 --> 00:34:13,090 or they might have better access 634 00:34:13,092 --> 00:34:15,026 or be able to get the better rewards, 635 00:34:15,028 --> 00:34:16,110 if they're limited, 636 00:34:16,112 --> 00:34:18,095 but they can't just take what they want. 637 00:34:18,097 --> 00:34:19,314 For starters, 638 00:34:19,316 --> 00:34:21,316 they need the other individuals in the group, 639 00:34:21,318 --> 00:34:23,618 so they need to give the other individuals 640 00:34:23,620 --> 00:34:25,904 sufficient incentive to stay in the group. 641 00:34:25,906 --> 00:34:29,607 Freeman: Sarah has found the Alpha is less a dictator 642 00:34:29,609 --> 00:34:32,961 and more a leader of a coalition government. 643 00:34:32,963 --> 00:34:34,329 To keep his job, 644 00:34:34,331 --> 00:34:37,632 he has to maintain the support of monkeys 645 00:34:37,634 --> 00:34:39,617 at all levels of society. 646 00:34:39,619 --> 00:34:41,836 He must observe social rules, 647 00:34:41,838 --> 00:34:45,139 and one of the most deeply ingrained rules 648 00:34:45,141 --> 00:34:48,059 is to be fair to the other monkeys. 649 00:34:48,061 --> 00:34:49,560 Like other primates, 650 00:34:49,562 --> 00:34:53,130 humans also accept a certain amount of inequality, 651 00:34:53,132 --> 00:34:58,353 but most of us cannot abide inequity. 652 00:34:58,355 --> 00:34:59,654 So, a human sense of fairness 653 00:34:59,656 --> 00:35:00,939 is more than just not liking 654 00:35:00,941 --> 00:35:02,640 when you get less than someone else. 655 00:35:02,642 --> 00:35:03,825 Really, what we mean 656 00:35:03,827 --> 00:35:05,977 when we talk about a human sense of fairness 657 00:35:05,979 --> 00:35:08,780 is this almost moral obligation to treat people equally, 658 00:35:08,782 --> 00:35:10,415 to have things work out equally. 659 00:35:10,417 --> 00:35:13,251 This may be the underlying driving force for the evolution 660 00:35:13,253 --> 00:35:14,535 of the sense of fairness. 661 00:35:14,537 --> 00:35:16,504 Maybe by having a sense of fairness, 662 00:35:16,506 --> 00:35:18,322 it allows you to be a better judge 663 00:35:18,324 --> 00:35:20,341 of when you're with a good, cooperative partner, 664 00:35:20,343 --> 00:35:21,876 and when it's time to go find somebody else 665 00:35:21,878 --> 00:35:23,160 who might be better. 666 00:35:23,162 --> 00:35:26,931 Freeman: The battles between selfishness and fairness 667 00:35:26,933 --> 00:35:29,968 keeps us moving forward as a society. 668 00:35:29,970 --> 00:35:33,838 But when individuals act with extreme selfishness, 669 00:35:33,840 --> 00:35:36,524 their behavior can put many others at risk. 670 00:35:36,526 --> 00:35:39,394 They can lead to revolt. 671 00:35:39,396 --> 00:35:43,014 Both apes and humans will overthrow leaders 672 00:35:43,016 --> 00:35:44,899 who abuse their power. 673 00:35:44,901 --> 00:35:48,086 Perhaps there's a gentler way. 674 00:35:48,088 --> 00:35:49,537 In human societies, 675 00:35:49,539 --> 00:35:53,074 a wealthy few may lord it over a vast lower class, 676 00:35:53,076 --> 00:35:55,743 but the poor do have power. 677 00:35:55,745 --> 00:35:59,998 They can use the innate human instinct for fairness 678 00:36:00,000 --> 00:36:01,833 as a secret weapon. 679 00:36:04,057 --> 00:36:08,727 Unequal distribution of wealth is as old as history, 680 00:36:09,301 --> 00:36:11,969 and so is resentment about it. 681 00:36:11,971 --> 00:36:16,740 The richest 85 people on this planet 682 00:36:16,742 --> 00:36:22,579 have as much money as the poorest 3.5 billion. 683 00:36:22,581 --> 00:36:26,784 How can we shrink the ever-widening divide 684 00:36:26,786 --> 00:36:30,420 between the haves and the have nots? 685 00:36:31,000 --> 00:36:37,074 Subtitles downloaded from www.OpenSubtitles.org 686 00:36:41,599 --> 00:36:45,035 Jennifer Jacquet is a clinical assistant professor 687 00:36:45,037 --> 00:36:48,322 of environmental studies at New York University. 688 00:36:48,324 --> 00:36:51,408 Lately, she's been contemplating a phenomenon 689 00:36:51,410 --> 00:36:55,162 called the tragedy of the commons. 690 00:36:55,164 --> 00:36:59,115 It has its roots in mankind's agrarian past. 691 00:36:59,117 --> 00:37:01,451 The commons is a pasture where herdsmen can decide 692 00:37:01,453 --> 00:37:03,286 whether or not to graze their cattle. 693 00:37:03,288 --> 00:37:07,457 The benefits of adding a single cow are individualized, 694 00:37:07,459 --> 00:37:09,426 but the costs of adding that cow 695 00:37:09,428 --> 00:37:11,678 are shared among all the herdsmen, 696 00:37:11,680 --> 00:37:14,130 and this is the tragedy of the commons: 697 00:37:14,132 --> 00:37:16,984 The tension between the individual and the group. 698 00:37:16,986 --> 00:37:19,770 And the real problem is that just one herdsman 699 00:37:19,772 --> 00:37:21,855 who decides to add too many cattle 700 00:37:21,857 --> 00:37:25,359 can ruin it for everybody else. 701 00:37:25,361 --> 00:37:29,446 Freeman: The tragedy of the commons, Jennifer says, 702 00:37:29,448 --> 00:37:31,532 is now a global tragedy, 703 00:37:31,534 --> 00:37:34,835 a tragedy that is being accelerated 704 00:37:34,837 --> 00:37:38,255 by the selfishness of the super rich. 705 00:37:38,257 --> 00:37:41,008 Jacquet: There's the global oceans. 706 00:37:41,010 --> 00:37:42,593 There's the atmosphere. 707 00:37:42,595 --> 00:37:44,661 There are the global forests. 708 00:37:44,663 --> 00:37:46,329 There are migratory birds. 709 00:37:46,331 --> 00:37:47,931 There are so many things 710 00:37:47,933 --> 00:37:51,468 that behave exactly like this common pasture. 711 00:37:51,470 --> 00:37:52,853 So we now live in a world 712 00:37:52,855 --> 00:37:55,055 in which a very small minority of people 713 00:37:55,057 --> 00:37:57,441 is capable of ruining it for everyone else. 714 00:37:57,443 --> 00:38:00,894 Freeman: Typically, society keeps citizens in line 715 00:38:00,896 --> 00:38:02,446 by the rule of law. 716 00:38:02,448 --> 00:38:04,180 But around the world, 717 00:38:04,182 --> 00:38:08,518 the extremely wealthy are often able to circumvent the law 718 00:38:08,520 --> 00:38:11,405 or have laws changed to suit them. 719 00:38:11,407 --> 00:38:13,857 So how do we stop these people 720 00:38:13,859 --> 00:38:16,910 from depleting our shared resources? 721 00:38:16,912 --> 00:38:20,363 Revolutions have been fought over such things, 722 00:38:20,365 --> 00:38:27,054 but Jennifer argues the only sensible recourse is shame. 723 00:38:27,056 --> 00:38:28,388 So, when we talk about shame, 724 00:38:28,390 --> 00:38:30,507 what we're actually talking about is a tool, 725 00:38:30,509 --> 00:38:31,508 a type of punishment. 726 00:38:31,510 --> 00:38:33,060 The threat of exposure, 727 00:38:33,062 --> 00:38:35,679 this idea that we could show the crowd 728 00:38:35,681 --> 00:38:37,564 that you haven't been behaving 729 00:38:37,566 --> 00:38:40,216 like the rest of the group would like, 730 00:38:40,218 --> 00:38:42,719 this is the type of shame I examine. 731 00:38:42,721 --> 00:38:46,607 Freeman: Today, Jennifer is running an experiment 732 00:38:46,609 --> 00:38:49,743 demonstrating the power of shame. 733 00:38:49,745 --> 00:38:52,896 It reveals the difference in people's behavior 734 00:38:52,898 --> 00:38:54,915 when their identities are hidden 735 00:38:54,917 --> 00:38:58,335 versus when their actions are exposed to the group. 736 00:38:58,337 --> 00:39:03,123 Each player is given the choice to contribute or not contribute 737 00:39:03,125 --> 00:39:04,591 to a common pool. 738 00:39:04,593 --> 00:39:08,211 Whatever money goes into the common pool 739 00:39:08,213 --> 00:39:11,298 is doubled and then redistributed. 740 00:39:11,300 --> 00:39:13,850 If everybody puts in a dollar, 741 00:39:13,852 --> 00:39:17,721 in each of 10 rounds, they all get $20 back. 742 00:39:17,723 --> 00:39:20,307 That is, if they all play fair. 743 00:39:20,309 --> 00:39:23,593 That almost is never the way the game is played. 744 00:39:23,595 --> 00:39:25,729 People often leave with far less 745 00:39:25,731 --> 00:39:28,231 than the socially optimal outcome, 746 00:39:28,233 --> 00:39:30,934 and that's because certain individuals 747 00:39:30,936 --> 00:39:33,704 start pulling out and stop cooperating. 748 00:39:33,706 --> 00:39:36,823 Freeman: Most contribute to the common pool, 749 00:39:36,825 --> 00:39:38,775 except these players. 750 00:39:38,777 --> 00:39:40,243 They keep their $10, 751 00:39:40,245 --> 00:39:44,164 but still take an equal share from the doubled communal pot. 752 00:39:44,166 --> 00:39:48,502 So they end up making more than their classmates, 753 00:39:48,504 --> 00:39:50,637 and they get away with it 754 00:39:50,639 --> 00:39:53,890 because no one knows who is cheating. 755 00:39:53,892 --> 00:39:56,893 But now Jennifer runs the experiment again, 756 00:39:56,895 --> 00:39:59,012 adding in the element of shame. 757 00:39:59,014 --> 00:40:00,897 At the end of the 10th round, 758 00:40:00,899 --> 00:40:03,483 the real names of the two participants 759 00:40:03,485 --> 00:40:05,152 who donated least overall 760 00:40:05,154 --> 00:40:07,521 are revealed to the other players. 761 00:40:07,523 --> 00:40:10,240 Freeman: The threat of being exposed 762 00:40:10,242 --> 00:40:12,475 changes the way people play. 763 00:40:12,477 --> 00:40:18,281 Now almost everyone puts in their fair share. 764 00:40:18,283 --> 00:40:19,816 So the threat of shame 765 00:40:19,818 --> 00:40:22,369 actually led to 50% more cooperation 766 00:40:22,371 --> 00:40:25,706 than the anonymous -- completely anonymous control. 767 00:40:27,709 --> 00:40:31,828 Freeman: So, what are the real-world effects of this? 768 00:40:31,830 --> 00:40:33,513 Jacquet: So, in 2008, 769 00:40:33,515 --> 00:40:37,350 the United States government gave banks $245 billion 770 00:40:37,352 --> 00:40:38,802 in bailout money. 771 00:40:38,804 --> 00:40:41,938 Many of the banks decided to give bonuses 772 00:40:41,940 --> 00:40:44,057 that added up to $20 billion. 773 00:40:44,059 --> 00:40:45,275 During that time, 774 00:40:45,277 --> 00:40:48,344 President Obama called those bonuses "shameful," 775 00:40:48,346 --> 00:40:51,531 and that's in part because there was no formal mechanism 776 00:40:51,533 --> 00:40:55,652 in which to punish the banks for having done that. 777 00:40:55,654 --> 00:40:58,354 So he sort of called on the crowd to come in and say, 778 00:40:58,356 --> 00:41:01,041 "this is not appropriate behavior." 779 00:41:01,043 --> 00:41:03,210 Many bankers didn't see it that way. 780 00:41:03,212 --> 00:41:06,580 They saw it as perfectly normal behavior. 781 00:41:06,582 --> 00:41:11,051 Freeman: Shameful behavior is in the eye of the beholder. 782 00:41:11,053 --> 00:41:13,220 Most of the super rich would argue 783 00:41:13,222 --> 00:41:15,222 they are not breaking any social rules. 784 00:41:15,224 --> 00:41:18,008 In fact, their investments create jobs 785 00:41:18,010 --> 00:41:21,228 and make the entire economy thrive and grow. 786 00:41:21,230 --> 00:41:25,315 But there will always be a few people at any income level 787 00:41:25,317 --> 00:41:28,435 who are willing to cheat to make a profit. 788 00:41:28,437 --> 00:41:33,490 When those people are called out by name in front of a crowd, 789 00:41:33,492 --> 00:41:35,558 shame can be effective. 790 00:41:35,560 --> 00:41:38,662 California has started listing the names 791 00:41:38,664 --> 00:41:42,249 of the state's top 500 tax delinquents online, 792 00:41:42,251 --> 00:41:48,205 using shame to coerce them to pay their fair share. 793 00:41:48,207 --> 00:41:50,957 But is the power of shame enough 794 00:41:50,959 --> 00:41:54,211 to close the gap between rich and poor? 795 00:41:54,213 --> 00:41:56,913 Brosnan: There are no simple solutions, of course. 796 00:41:56,915 --> 00:41:59,582 These problems are -- are gigantic and difficult. 797 00:41:59,584 --> 00:42:03,436 Shame is relatively cheap in terms of punishment, 798 00:42:03,438 --> 00:42:05,588 and relatively ineffective. 799 00:42:05,590 --> 00:42:07,423 But sometimes it's all we have. 800 00:42:11,429 --> 00:42:17,801 I am living proof that poverty is not genetic. 801 00:42:17,803 --> 00:42:20,804 I've lived on both sides of the divide 802 00:42:20,806 --> 00:42:22,572 between rich and poor. 803 00:42:22,574 --> 00:42:26,943 The forces that distribute wealth among us are complicated. 804 00:42:26,945 --> 00:42:31,214 They're a mixture of biology, psychology, and mathematics 805 00:42:31,216 --> 00:42:33,416 playing out over lifetimes 806 00:42:33,418 --> 00:42:36,620 and across the sweep of human history. 807 00:42:36,622 --> 00:42:39,623 If we can understand those forces, 808 00:42:39,625 --> 00:42:43,932 I hope we can someday lessen the devastation of poverty 809 00:42:43,933 --> 00:42:47,174 and allow each of us to reach our full potential. 810 00:42:47,199 --> 00:42:53,199 == sync, corrected by elderman == @elder_man 811 00:42:54,305 --> 00:43:00,311 Best watched using Open Subtitles MKV Player 812 00:43:00,361 --> 00:43:04,911 Repair and Synchronization by Easy Subtitles Synchronizer 1.0.0.0 65263

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