1 00:00:00,435 --> 00:00:02,418 All right. So, like all good stories, 2 00:00:02,418 --> 00:00:04,352 this starts a long, long time ago 3 00:00:04,352 --> 00:00:06,501 when there was basically nothing. 4 00:00:06,501 --> 00:00:08,901 So here is a complete picture of the universe 5 00:00:08,901 --> 00:00:12,353 about 14-odd billion years ago. 6 00:00:12,353 --> 00:00:15,437 All energy is concentrated into a single point of energy. 7 00:00:15,437 --> 00:00:17,021 For some reason it explodes, 8 00:00:17,021 --> 00:00:19,137 and you begin to get these things. 9 00:00:19,137 --> 00:00:22,003 So you're now about 14 billion years into this. 10 00:00:22,003 --> 00:00:23,899 And these things expand and expand and expand 11 00:00:23,899 --> 00:00:25,598 into these giant galaxies, 12 00:00:25,598 --> 00:00:26,917 and you get trillions of them. 13 00:00:26,917 --> 00:00:29,065 And within these galaxies 14 00:00:29,065 --> 00:00:31,184 you get these enormous dust clouds. 15 00:00:31,184 --> 00:00:32,949 And I want you to pay particular attention 16 00:00:32,949 --> 00:00:34,399 to the three little prongs 17 00:00:34,399 --> 00:00:36,300 in the center of this picture. 18 00:00:36,300 --> 00:00:37,715 If you take a close-up of those, 19 00:00:37,715 --> 00:00:39,368 they look like this. 20 00:00:39,368 --> 00:00:42,218 And what you're looking at is columns of dust 21 00:00:42,218 --> 00:00:44,265 where there's so much dust -- 22 00:00:44,265 --> 00:00:48,598 by the way, the scale of this is a trillion vertical miles -- 23 00:00:48,598 --> 00:00:51,516 and what's happening is there's so much dust, 24 00:00:51,516 --> 00:00:53,450 it comes together and it fuses 25 00:00:53,450 --> 00:00:56,909 and ignites a thermonuclear reaction. 26 00:00:56,909 --> 00:00:57,751 And so what you're watching 27 00:00:57,751 --> 00:00:59,736 is the birth of stars. 28 00:00:59,736 --> 00:01:01,393 These are stars being born out of here. 29 00:01:01,393 --> 00:01:03,861 When enough stars come out, 30 00:01:03,861 --> 00:01:05,659 they create a galaxy. 31 00:01:05,659 --> 00:01:09,093 This one happens to be a particularly important galaxy, 32 00:01:09,093 --> 00:01:11,309 because you are here. 33 00:01:11,309 --> 00:01:12,476 (Laughter) 34 00:01:12,476 --> 00:01:14,127 And as you take a close-up of this galaxy, 35 00:01:14,127 --> 00:01:16,192 you find a relatively normal, 36 00:01:16,192 --> 00:01:18,560 not particularly interesting star. 37 00:01:18,560 --> 00:01:22,575 By the way, you're now about two-thirds of the way into this story. 38 00:01:22,575 --> 00:01:24,757 So this star doesn't even appear 39 00:01:24,757 --> 00:01:27,708 until about two-thirds of the way into this story. 40 00:01:27,708 --> 00:01:28,786 And then what happens 41 00:01:28,786 --> 00:01:30,192 is there's enough dust left over 42 00:01:30,192 --> 00:01:32,158 that it doesn't ignite into a star, 43 00:01:32,158 --> 00:01:34,158 it becomes a planet. 44 00:01:34,158 --> 00:01:38,983 And this is about a little over four billion years ago. 45 00:01:38,983 --> 00:01:40,416 And soon thereafter 46 00:01:40,416 --> 00:01:42,333 there's enough material left over 47 00:01:42,333 --> 00:01:46,896 that you get a primordial soup, 48 00:01:46,896 --> 00:01:48,660 and that creates life. 49 00:01:48,660 --> 00:01:52,541 And life starts to expand and expand and expand, 50 00:01:52,541 --> 00:01:54,292 until it goes kaput. 51 00:01:54,292 --> 00:01:57,780 (Laughter) 52 00:01:57,780 --> 00:01:59,210 Now the really strange thing 53 00:01:59,210 --> 00:02:02,116 is life goes kaput, not once, not twice, 54 00:02:02,116 --> 00:02:04,332 but five times. 55 00:02:04,332 --> 00:02:06,434 So almost all life on Earth 56 00:02:06,434 --> 00:02:08,898 is wiped out about five times. 57 00:02:08,898 --> 00:02:10,450 And as you're thinking about that, 58 00:02:10,450 --> 00:02:12,882 what happens is you get more and more complexity, 59 00:02:12,882 --> 00:02:14,116 more and more stuff 60 00:02:14,116 --> 00:02:18,234 to build new things with. 61 00:02:18,234 --> 00:02:19,504 And we don't appear 62 00:02:19,504 --> 00:02:25,152 until about 99.96 percent of the time into this story, 63 00:02:25,152 --> 00:02:29,082 just to put ourselves and our ancestors in perspective. 64 00:02:29,082 --> 00:02:32,541 So within that context, there's two theories of the case 65 00:02:32,541 --> 00:02:34,230 as to why we're all here. 66 00:02:34,230 --> 00:02:35,819 The first theory of the case 67 00:02:35,819 --> 00:02:39,228 is that's all she wrote. 68 00:02:39,228 --> 00:02:40,587 Under that theory, 69 00:02:40,587 --> 00:02:42,423 we are the be-all and end-all 70 00:02:42,423 --> 00:02:44,156 of all creation. 71 00:02:44,156 --> 00:02:47,040 And the reason for trillions of galaxies, 72 00:02:47,040 --> 00:02:49,053 sextillions of planets, 73 00:02:49,053 --> 00:02:53,763 is to create something that looks like that 74 00:02:53,763 --> 00:02:57,396 and something that looks like that. 75 00:02:57,396 --> 00:02:58,937 And that's the purpose of the universe; 76 00:02:58,937 --> 00:03:00,221 and then it flat-lines, 77 00:03:00,221 --> 00:03:01,532 it doesn't get any better. 78 00:03:01,532 --> 00:03:06,012 (Laughter) 79 00:03:06,012 --> 00:03:08,831 The only question you might want to ask yourself is, 80 00:03:08,831 --> 00:03:14,066 could that be just mildly arrogant? 81 00:03:14,066 --> 00:03:15,807 And if it is -- 82 00:03:15,807 --> 00:03:21,189 and particularly given the fact that we came very close to extinction. 83 00:03:21,189 --> 00:03:24,556 There were only about 2,000 of our species left. 84 00:03:24,556 --> 00:03:26,639 A few more weeks without rain, 85 00:03:26,639 --> 00:03:29,723 we would have never seen any of these. 86 00:03:29,723 --> 00:03:36,422 (Laughter) 87 00:03:36,422 --> 00:03:41,056 (Applause) 88 00:03:41,056 --> 00:03:44,022 So maybe you have to think about a second theory 89 00:03:44,022 --> 00:03:46,939 if the first one isn't good enough. 90 00:03:46,939 --> 00:03:48,723 Second theory is: Could we upgrade? 91 00:03:48,723 --> 00:03:51,622 (Laughter) 92 00:03:51,622 --> 00:03:54,856 Well, why would one ask a question like that? 93 00:03:54,856 --> 00:03:57,321 Because there have been at least 29 upgrades so far 94 00:03:57,321 --> 00:03:59,357 of humanoids. 95 00:03:59,357 --> 00:04:02,207 So it turns out that we have upgraded. 96 00:04:02,207 --> 00:04:04,122 We've upgraded time and again and again. 97 00:04:04,122 --> 00:04:07,038 And it turns out that we keep discovering upgrades. 98 00:04:07,038 --> 00:04:09,222 We found this one last year. 99 00:04:09,222 --> 00:04:11,839 We found another one last month. 100 00:04:11,839 --> 00:04:14,038 And as you're thinking about this, 101 00:04:14,038 --> 00:04:16,141 you might also ask the question: 102 00:04:16,141 --> 00:04:19,238 So why a single human species? 103 00:04:19,238 --> 00:04:21,072 Wouldn't it be really odd 104 00:04:21,072 --> 00:04:24,856 if you went to Africa and Asia and Antarctica 105 00:04:24,856 --> 00:04:27,475 and found exactly the same bird -- 106 00:04:27,475 --> 00:04:31,267 particularly given that we co-existed at the same time 107 00:04:31,267 --> 00:04:34,053 with at least eight other versions of humanoid 108 00:04:34,053 --> 00:04:36,521 at the same time on this planet? 109 00:04:36,521 --> 00:04:38,400 So the normal state of affairs 110 00:04:38,400 --> 00:04:40,910 is not to have just a Homo sapiens; 111 00:04:40,910 --> 00:04:41,931 the normal state of affairs 112 00:04:41,931 --> 00:04:45,760 is to have various versions of humans walking around. 113 00:04:45,760 --> 00:04:48,577 And if that is the normal state of affairs, 114 00:04:48,577 --> 00:04:50,945 then you might ask yourself, 115 00:04:50,945 --> 00:04:53,010 all right, so if we want to create something else, 116 00:04:53,010 --> 00:04:55,878 how big does a mutation have to be? 117 00:04:55,878 --> 00:04:58,510 Well Svante Paabo has the answer. 118 00:04:58,510 --> 00:05:01,310 The difference between humans and Neanderthal 119 00:05:01,310 --> 00:05:04,609 is 0.004 percent of gene code. 120 00:05:04,609 --> 00:05:06,309 That's how big the difference is 121 00:05:06,309 --> 00:05:08,526 one species to another. 122 00:05:08,526 --> 00:05:12,926 This explains most contemporary political debates. 123 00:05:12,926 --> 00:05:14,861 (Laughter) 124 00:05:14,861 --> 00:05:18,072 But as you're thinking about this, 125 00:05:18,072 --> 00:05:19,430 one of the interesting things 126 00:05:19,430 --> 00:05:22,827 is how small these mutations are and where they take place. 127 00:05:22,827 --> 00:05:24,160 Difference human/Neanderthal 128 00:05:24,160 --> 00:05:25,893 is sperm and testis, 129 00:05:25,893 --> 00:05:27,261 smell and skin. 130 00:05:27,261 --> 00:05:28,747 And those are the specific genes 131 00:05:28,747 --> 00:05:31,427 that differ from one to the other. 132 00:05:31,427 --> 00:05:34,528 So very small changes can have a big impact. 133 00:05:34,528 --> 00:05:36,160 And as you're thinking about this, 134 00:05:36,160 --> 00:05:38,676 we're continuing to mutate. 135 00:05:38,676 --> 00:05:41,577 So about 10,000 years ago by the Black Sea, 136 00:05:41,577 --> 00:05:43,637 we had one mutation in one gene 137 00:05:43,637 --> 00:05:46,193 which led to blue eyes. 138 00:05:46,193 --> 00:05:50,077 And this is continuing and continuing and continuing. 139 00:05:50,077 --> 00:05:51,511 And as it continues, 140 00:05:51,511 --> 00:05:53,276 one of the things that's going to happen this year 141 00:05:53,276 --> 00:05:56,609 is we're going to discover the first 10,000 human genomes, 142 00:05:56,609 --> 00:05:59,878 because it's gotten cheap enough to do the gene sequencing. 143 00:05:59,878 --> 00:06:01,466 And when we find these, 144 00:06:01,466 --> 00:06:03,960 we may find differences. 145 00:06:03,960 --> 00:06:07,036 And by the way, this is not a debate that we're ready for, 146 00:06:07,036 --> 00:06:10,412 because we have really misused the science in this. 147 00:06:10,412 --> 00:06:14,095 In the 1920s, we thought there were major differences between people. 148 00:06:14,095 --> 00:06:17,893 That was partly based on Francis Galton's work. 149 00:06:17,893 --> 00:06:20,029 He was Darwin's cousin. 150 00:06:20,029 --> 00:06:22,344 But the U.S., the Carnegie Institute, 151 00:06:22,344 --> 00:06:24,926 Stanford, American Neurological Association 152 00:06:24,926 --> 00:06:26,794 took this really far. 153 00:06:26,794 --> 00:06:30,393 That got exported and was really misused. 154 00:06:30,393 --> 00:06:33,078 In fact, it led to some absolutely horrendous 155 00:06:33,078 --> 00:06:35,091 treatment of human beings. 156 00:06:35,091 --> 00:06:37,685 So since the 1940s, we've been saying there are no differences, 157 00:06:37,685 --> 00:06:39,005 we're all identical. 158 00:06:39,005 --> 00:06:42,282 We're going to know at year end if that is true. 159 00:06:42,282 --> 00:06:44,014 And as we think about that, 160 00:06:44,014 --> 00:06:45,532 we're actually beginning to find things 161 00:06:45,532 --> 00:06:48,998 like, do you have an ACE gene? 162 00:06:48,998 --> 00:06:50,976 Why would that matter? 163 00:06:50,976 --> 00:06:55,014 Because nobody's ever climbed an 8,000-meter peak without oxygen 164 00:06:55,014 --> 00:06:57,764 that doesn't have an ACE gene. 165 00:06:57,764 --> 00:06:59,633 And if you want to get more specific, 166 00:06:59,633 --> 00:07:02,648 how about a 577R genotype? 167 00:07:02,648 --> 00:07:07,348 Well it turns out that every male Olympic power athelete ever tested 168 00:07:07,348 --> 00:07:10,598 carries at least one of these variants. 169 00:07:10,598 --> 00:07:12,252 If that is true, 170 00:07:12,252 --> 00:07:14,410 it leads to some very complicated questions 171 00:07:14,410 --> 00:07:16,211 for the London Olympics. 172 00:07:16,211 --> 00:07:17,730 Three options: 173 00:07:17,730 --> 00:07:20,562 Do you want the Olympics to be a showcase 174 00:07:20,562 --> 00:07:23,262 for really hardworking mutants? 175 00:07:23,262 --> 00:07:24,995 (Laughter) 176 00:07:24,995 --> 00:07:27,730 Option number two: 177 00:07:27,730 --> 00:07:31,128 Why don't we play it like golf or sailing? 178 00:07:31,128 --> 00:07:33,602 Because you have one and you don't have one, 179 00:07:33,602 --> 00:07:37,597 I'll give you a tenth of a second head start. 180 00:07:37,597 --> 00:07:38,668 Version number three: 181 00:07:38,668 --> 00:07:40,737 Because this is a naturally occurring gene 182 00:07:40,737 --> 00:07:43,519 and you've got it and you didn't pick the right parents, 183 00:07:43,519 --> 00:07:47,468 you get the right to upgrade. 184 00:07:47,468 --> 00:07:49,219 Three different options. 185 00:07:49,219 --> 00:07:50,841 If these differences are the difference 186 00:07:50,841 --> 00:07:54,219 between an Olympic medal and a non-Olympic medal. 187 00:07:54,219 --> 00:07:57,053 And it turns out that as we discover these things, 188 00:07:57,053 --> 00:08:00,388 we human beings really like to change 189 00:08:00,388 --> 00:08:02,082 how we look, how we act, 190 00:08:02,082 --> 00:08:03,676 what our bodies do. 191 00:08:03,676 --> 00:08:08,050 And we had about 10.2 million plastic surgeries in the United States, 192 00:08:08,050 --> 00:08:11,367 except that with the technologies that are coming online today, 193 00:08:11,367 --> 00:08:14,068 today's corrections, deletions, 194 00:08:14,068 --> 00:08:15,987 augmentations and enhancements 195 00:08:15,987 --> 00:08:18,900 are going to seem like child's play. 196 00:08:18,900 --> 00:08:22,601 You already saw the work by Tony Atala on TED, 197 00:08:22,601 --> 00:08:26,168 but this ability to start filling 198 00:08:26,168 --> 00:08:29,101 things like inkjet cartridges with cells 199 00:08:29,101 --> 00:08:33,775 are allowing us to print skin, organs 200 00:08:33,775 --> 00:08:36,525 and a whole series of other body parts. 201 00:08:36,525 --> 00:08:38,409 And as these technologies go forward, 202 00:08:38,409 --> 00:08:42,193 you keep seeing this, you keep seeing this, you keep seeing things -- 203 00:08:42,193 --> 00:08:44,967 2000, human genome sequence -- 204 00:08:44,967 --> 00:08:48,749 and it seems like nothing's happening, 205 00:08:48,749 --> 00:08:51,861 until it does. 206 00:08:51,861 --> 00:08:55,385 And we may just be in some of these weeks. 207 00:08:55,385 --> 00:08:56,984 And as you're thinking about 208 00:08:56,984 --> 00:09:00,435 these two guys sequencing a human genome in 2000 209 00:09:00,435 --> 00:09:03,988 and the Public Project sequencing the human genome in 2000, 210 00:09:03,988 --> 00:09:07,152 then you don't hear a lot, 211 00:09:07,152 --> 00:09:11,136 until you hear about an experiment last year in China, 212 00:09:11,136 --> 00:09:15,153 where they take skin cells from this mouse, 213 00:09:15,153 --> 00:09:16,886 put four chemicals on it, 214 00:09:16,886 --> 00:09:20,452 turn those skin cells into stem cells, 215 00:09:20,452 --> 00:09:21,917 let the stem cells grow 216 00:09:21,917 --> 00:09:25,004 and create a full copy of that mouse. 217 00:09:25,004 --> 00:09:28,251 That's a big deal. 218 00:09:28,251 --> 00:09:29,267 Because in essence 219 00:09:29,267 --> 00:09:31,415 what it means is you can take a cell, 220 00:09:31,415 --> 00:09:33,701 which is a pluripotent stem cell, 221 00:09:33,701 --> 00:09:36,385 which is like a skier at the top of a mountain, 222 00:09:36,385 --> 00:09:40,202 and those two skiers become two pluripotent stem cells, 223 00:09:40,202 --> 00:09:41,984 four, eight, 16, 224 00:09:41,984 --> 00:09:43,652 and then it gets so crowded 225 00:09:43,652 --> 00:09:45,452 after 16 divisions 226 00:09:45,452 --> 00:09:47,954 that those cells have to differentiate. 227 00:09:47,954 --> 00:09:49,387 So they go down one side of the mountain, 228 00:09:49,387 --> 00:09:50,620 they go down another. 229 00:09:50,620 --> 00:09:52,154 And as they pick that, 230 00:09:52,154 --> 00:09:54,404 these become bone, 231 00:09:54,404 --> 00:09:57,336 and then they pick another road and these become platelets, 232 00:09:57,336 --> 00:09:59,453 and these become macrophages, 233 00:09:59,453 --> 00:10:00,720 and these become T cells. 234 00:10:00,720 --> 00:10:02,672 But it's really hard, once you ski down, 235 00:10:02,672 --> 00:10:04,195 to get back up. 236 00:10:04,195 --> 00:10:09,607 Unless, of course, if you have a ski lift. 237 00:10:09,607 --> 00:10:12,056 And what those four chemicals do 238 00:10:12,056 --> 00:10:14,125 is they take any cell 239 00:10:14,125 --> 00:10:16,057 and take it way back up the mountain 240 00:10:16,057 --> 00:10:18,090 so it can become any body part. 241 00:10:18,090 --> 00:10:19,818 And as you think of that, 242 00:10:19,818 --> 00:10:21,798 what it means is potentially 243 00:10:21,798 --> 00:10:23,973 you can rebuild a full copy 244 00:10:23,973 --> 00:10:25,840 of any organism 245 00:10:25,840 --> 00:10:28,426 out of any one of its cells. 246 00:10:28,426 --> 00:10:30,957 That turns out to be a big deal 247 00:10:30,957 --> 00:10:33,523 because now you can take, not just mouse cells, 248 00:10:33,523 --> 00:10:35,841 but you can human skin cells 249 00:10:35,841 --> 00:10:39,491 and turn them into human stem cells. 250 00:10:39,491 --> 00:10:42,689 And then what they did in October 251 00:10:42,689 --> 00:10:46,089 is they took skin cells, turned them into stem cells 252 00:10:46,089 --> 00:10:49,762 and began to turn them into liver cells. 253 00:10:49,762 --> 00:10:50,806 So in theory, 254 00:10:50,806 --> 00:10:55,990 you could grow any organ from any one of your cells. 255 00:10:55,990 --> 00:10:57,708 Here's a second experiment: 256 00:10:57,708 --> 00:11:00,841 If you could photocopy your body, 257 00:11:00,841 --> 00:11:03,893 maybe you also want to take your mind. 258 00:11:03,893 --> 00:11:05,458 And one of the things you saw at TED 259 00:11:05,458 --> 00:11:06,708 about a year and a half ago 260 00:11:06,708 --> 00:11:08,143 was this guy. 261 00:11:08,143 --> 00:11:10,743 And he gave a wonderful technical talk. 262 00:11:10,743 --> 00:11:12,342 He's a professor at MIT. 263 00:11:12,342 --> 00:11:14,258 But in essence what he said 264 00:11:14,258 --> 00:11:15,958 is you can take retroviruses, 265 00:11:15,958 --> 00:11:18,758 which get inside brain cells of mice. 266 00:11:18,758 --> 00:11:21,198 You can tag them with proteins 267 00:11:21,198 --> 00:11:23,292 that light up when you light them. 268 00:11:23,292 --> 00:11:27,008 And you can map the exact pathways 269 00:11:27,008 --> 00:11:30,491 when a mouse sees, feels, touches, 270 00:11:30,491 --> 00:11:32,674 remembers, loves. 271 00:11:32,674 --> 00:11:35,047 And then you can take a fiber optic cable 272 00:11:35,047 --> 00:11:38,866 and light up some of the same things. 273 00:11:38,866 --> 00:11:40,698 And by the way, as you do this, 274 00:11:40,698 --> 00:11:42,715 you can image it in two colors, 275 00:11:42,715 --> 00:11:45,114 which means you can download this information 276 00:11:45,114 --> 00:11:49,854 as binary code directly into a computer. 277 00:11:49,854 --> 00:11:52,327 So what's the bottom line on that? 278 00:11:52,327 --> 00:11:54,527 Well it's not completely inconceivable 279 00:11:54,527 --> 00:11:59,022 that someday you'll be able to download your own memories, 280 00:11:59,022 --> 00:12:01,409 maybe into a new body. 281 00:12:01,409 --> 00:12:06,494 And maybe you can upload other people's memories as well. 282 00:12:06,494 --> 00:12:09,008 And this might have just one or two 283 00:12:09,008 --> 00:12:12,528 small ethical, political, moral implications. 284 00:12:12,528 --> 00:12:14,059 (Laughter) 285 00:12:14,059 --> 00:12:17,050 Just a thought. 286 00:12:17,050 --> 00:12:18,578 Here's the kind of questions 287 00:12:18,578 --> 00:12:20,558 that are becoming interesting questions 288 00:12:20,558 --> 00:12:23,042 for philosophers, for governing people, 289 00:12:23,042 --> 00:12:26,408 for economists, for scientists. 290 00:12:26,408 --> 00:12:29,692 Because these technologies are moving really quickly. 291 00:12:29,692 --> 00:12:31,192 And as you think about it, 292 00:12:31,192 --> 00:12:34,274 let me close with an example of the brain. 293 00:12:34,274 --> 00:12:35,957 The first place where you would expect 294 00:12:35,957 --> 00:12:39,008 to see enormous evolutionary pressure today, 295 00:12:39,008 --> 00:12:41,273 both because of the inputs, 296 00:12:41,273 --> 00:12:42,825 which are becoming massive, 297 00:12:42,825 --> 00:12:44,607 and because of the plasticity of the organ, 298 00:12:44,607 --> 00:12:47,141 is the brain. 299 00:12:47,141 --> 00:12:50,459 Do we have any evidence that that is happening? 300 00:12:50,459 --> 00:12:55,190 Well let's take a look at something like autism incidence per thousand. 301 00:12:55,190 --> 00:12:57,692 Here's what it looks like in 2000. 302 00:12:57,692 --> 00:12:59,774 Here's what it looks like in 2002, 303 00:12:59,774 --> 00:13:04,392 2006, 2008. 304 00:13:04,392 --> 00:13:08,474 Here's the increase in less than a decade. 305 00:13:08,474 --> 00:13:12,891 And we still don't know why this is happening. 306 00:13:12,891 --> 00:13:15,376 What we do know is, potentially, 307 00:13:15,376 --> 00:13:17,408 the brain is reacting in 308 00:13:17,408 --> 00:13:19,542 a hyperactive, hyper-plastic way, 309 00:13:19,542 --> 00:13:22,492 and creating individuals that are like this. 310 00:13:22,492 --> 00:13:25,249 And this is only one of the conditions that's out there. 311 00:13:25,249 --> 00:13:28,789 You've also got people with who are extraordinarily smart, 312 00:13:28,789 --> 00:13:31,186 people who can remember everything they've seen in their lives, 313 00:13:31,186 --> 00:13:32,571 people who've got synesthesia, 314 00:13:32,571 --> 00:13:33,902 people who've got schizophrenia. 315 00:13:33,902 --> 00:13:36,436 You've got all kinds of stuff going on out there, 316 00:13:36,436 --> 00:13:37,654 and we still don't understand 317 00:13:37,654 --> 00:13:39,887 how and why this is happening. 318 00:13:39,887 --> 00:13:42,569 But one question you might want to ask is, 319 00:13:42,569 --> 00:13:45,197 are we seeing a rapid evolution of the brain 320 00:13:45,197 --> 00:13:47,022 and of how we process data? 321 00:13:47,022 --> 00:13:50,085 Because when you think of how much data's coming into our brains, 322 00:13:50,085 --> 00:13:53,569 we're trying to take in as much data in a day 323 00:13:53,569 --> 00:13:56,120 as people used to take in in a lifetime. 324 00:13:56,120 --> 00:13:58,752 And as you're thinking about this, 325 00:13:58,752 --> 00:14:01,094 there's four theories as to why this might be going on, 326 00:14:01,094 --> 00:14:02,421 plus a whole series of others. 327 00:14:02,421 --> 00:14:04,070 I don't have a good answer. 328 00:14:04,070 --> 00:14:07,686 There really needs to be more research on this. 329 00:14:07,686 --> 00:14:09,921 One option is the fast food fetish. 330 00:14:09,921 --> 00:14:12,370 There's beginning to be some evidence 331 00:14:12,370 --> 00:14:14,621 that obesity and diet 332 00:14:14,621 --> 00:14:16,252 have something to do 333 00:14:16,252 --> 00:14:18,020 with gene modifications, 334 00:14:18,020 --> 00:14:20,370 which may or may not have an impact 335 00:14:20,370 --> 00:14:23,887 on how the brain of an infant works. 336 00:14:23,887 --> 00:14:27,842 A second option is the sexy geek option. 337 00:14:27,842 --> 00:14:32,085 These conditions are highly rare. 338 00:14:32,085 --> 00:14:35,123 (Laughter) 339 00:14:35,123 --> 00:14:40,423 (Applause) 340 00:14:40,423 --> 00:14:42,056 But what's beginning to happen 341 00:14:42,056 --> 00:14:44,590 is because these geeks are all getting together, 342 00:14:44,590 --> 00:14:47,487 because they are highly qualified for computer programming 343 00:14:47,487 --> 00:14:49,805 and it is highly remunerated, 344 00:14:49,805 --> 00:14:52,955 as well as other very detail-oriented tasks, 345 00:14:52,955 --> 00:14:55,404 that they are concentrating geographically 346 00:14:55,404 --> 00:14:58,371 and finding like-minded mates. 347 00:14:58,371 --> 00:15:01,939 So this is the assortative mating hypothesis 348 00:15:01,939 --> 00:15:04,639 of these genes reinforcing one another 349 00:15:04,639 --> 00:15:06,756 in these structures. 350 00:15:06,756 --> 00:15:09,706 The third, is this too much information? 351 00:15:09,706 --> 00:15:11,203 We're trying to process so much stuff 352 00:15:11,203 --> 00:15:13,555 that some people get synesthetic 353 00:15:13,555 --> 00:15:16,155 and just have huge pipes that remember everything. 354 00:15:16,155 --> 00:15:18,824 Other people get hyper-sensitive to the amount of information. 355 00:15:18,824 --> 00:15:22,806 Other people react with various psychological conditions 356 00:15:22,806 --> 00:15:24,438 or reactions to this information. 357 00:15:24,438 --> 00:15:27,140 Or maybe it's chemicals. 358 00:15:27,140 --> 00:15:28,905 But when you see an increase 359 00:15:28,905 --> 00:15:31,256 of that order of magnitude in a condition, 360 00:15:31,256 --> 00:15:32,821 either you're not measuring it right 361 00:15:32,821 --> 00:15:35,339 or there's something going on very quickly, 362 00:15:35,339 --> 00:15:39,371 and it may be evolution in real time. 363 00:15:39,371 --> 00:15:41,874 Here's the bottom line. 364 00:15:41,874 --> 00:15:44,055 What I think we are doing 365 00:15:44,055 --> 00:15:45,771 is we're transitioning as a species. 366 00:15:45,771 --> 00:15:51,255 And I didn't think this when Steve Gullans and I started writing together. 367 00:15:51,255 --> 00:15:53,706 I think we're transitioning into Homo evolutis 368 00:15:53,706 --> 00:15:55,105 that, for better or worse, 369 00:15:55,105 --> 00:15:59,287 is not just a hominid that's conscious of his or her environment, 370 00:15:59,287 --> 00:16:02,506 it's a hominid that's beginning to directly and deliberately 371 00:16:02,506 --> 00:16:05,704 control the evolution of its own species, 372 00:16:05,704 --> 00:16:09,538 of bacteria, of plants, of animals. 373 00:16:09,538 --> 00:16:12,373 And I think that's such an order of magnitude change 374 00:16:12,373 --> 00:16:15,476 that your grandkids or your great-grandkids 375 00:16:15,476 --> 00:16:18,521 may be a species very different from you. 376 00:16:18,521 --> 00:16:20,107 Thank you very much. 377 00:16:20,107 --> 00:16:25,438 (Applause)