1 00:00:00,835 --> 00:00:02,901 I love a great mystery, 2 00:00:02,901 --> 00:00:07,313 and I'm fascinated by the greatest unsolved mystery in science, 3 00:00:07,313 --> 00:00:09,271 perhaps because it's personal. 4 00:00:09,681 --> 00:00:11,539 It's about who we are, 5 00:00:11,539 --> 00:00:13,656 and I can't help but be curious. 6 00:00:14,186 --> 00:00:16,275 The mystery is this: 7 00:00:16,275 --> 00:00:19,710 What is the relationship between your brain 8 00:00:19,710 --> 00:00:21,221 and your conscious experiences, 9 00:00:21,221 --> 00:00:23,891 such as your experience of the taste of chocolate 10 00:00:23,891 --> 00:00:25,665 or the feeling of velvet? 11 00:00:26,805 --> 00:00:28,389 Now, this mystery is not new. 12 00:00:28,999 --> 00:00:32,598 In 1868, Thomas Huxley wrote, 13 00:00:32,598 --> 00:00:37,892 "How it is that anything so remarkable as a state of consciousness comes about 14 00:00:37,892 --> 00:00:41,259 as the result of irritating nervous tissue 15 00:00:41,259 --> 00:00:43,325 is just as unaccountable 16 00:00:43,325 --> 00:00:47,378 as the appearance of the genie when Aladdin rubbed his lamp." 17 00:00:49,268 --> 00:00:51,545 Now, Huxley knew that brain activity 18 00:00:51,545 --> 00:00:54,819 and conscious experiences are correlated, 19 00:00:54,819 --> 00:00:56,978 but he didn't know why. 20 00:00:56,978 --> 00:01:00,299 To the science of his day, it was a mystery. 21 00:01:00,299 --> 00:01:02,435 In the years since Huxley, 22 00:01:02,435 --> 00:01:05,801 science has learned a lot about brain activity, 23 00:01:05,801 --> 00:01:07,822 but the relationship between brain activity 24 00:01:07,822 --> 00:01:10,910 and conscious experiences is still a mystery. 25 00:01:10,910 --> 00:01:14,555 Why? Why have we made so little progress? 26 00:01:14,555 --> 00:01:19,414 Well, some experts think that we can't solve this problem 27 00:01:19,414 --> 00:01:23,213 because we lack the necessary concepts and intelligence. 28 00:01:23,883 --> 00:01:27,952 We don't expect monkeys to solve problems in quantum mechanics, 29 00:01:27,952 --> 00:01:32,117 and as it happens, we can't expect our species to solve this problem either. 30 00:01:32,527 --> 00:01:35,661 Well, I disagree. I'm more optimistic. 31 00:01:35,661 --> 00:01:38,703 I think we've simply made a false assumption. 32 00:01:38,703 --> 00:01:42,209 Once we fix it, we just might solve this problem. 33 00:01:42,209 --> 00:01:44,626 Today, I'd like tell you what that assumption is, 34 00:01:44,626 --> 00:01:47,384 why it's false, and how to fix it. 35 00:01:47,874 --> 00:01:49,568 Let's begin with a question: 36 00:01:49,778 --> 00:01:52,866 Do we see reality as it is? 37 00:01:52,866 --> 00:01:54,561 I open my eyes 38 00:01:54,561 --> 00:01:59,498 and I have an experience that I describe as a red tomato a meter away. 39 00:02:00,606 --> 00:02:03,849 As a result, I come to believe that in reality, 40 00:02:03,849 --> 00:02:06,491 there's a red tomato a meter away. 41 00:02:06,751 --> 00:02:11,615 I then close my eyes, and my experience changes to a gray field, 42 00:02:12,425 --> 00:02:17,591 but is it still the case that in reality, there's a red tomato a meter away? 43 00:02:18,361 --> 00:02:21,913 I think so, but could I be wrong? 44 00:02:21,913 --> 00:02:26,511 Could I be misinterpreting the nature of my perceptions? 45 00:02:27,351 --> 00:02:30,551 We have misinterpreted our perceptions before. 46 00:02:30,551 --> 00:02:34,010 We used to think the Earth is flat, because it looks that way. 47 00:02:34,707 --> 00:02:37,586 Pythagorus discovered that we were wrong. 48 00:02:37,586 --> 00:02:41,598 Then we thought that the Earth is the unmoving center of the Universe, 49 00:02:41,603 --> 00:02:43,506 again because it looks that way. 50 00:02:44,406 --> 00:02:49,312 Copernicus and Galileo discovered, again, that we were wrong. 51 00:02:49,312 --> 00:02:53,400 Galileo then wondered if we might be misinterpreting our experiences 52 00:02:53,400 --> 00:02:54,908 in other ways. 53 00:02:54,908 --> 00:02:59,917 He wrote: "I think that tastes, odors, colors, and so on 54 00:02:59,917 --> 00:03:01,921 reside in consciousness. 55 00:03:02,291 --> 00:03:08,043 Hence if the living creature were removed, all these qualities would be annihilated." 56 00:03:08,955 --> 00:03:10,794 Now, that's a stunning claim. 57 00:03:11,184 --> 00:03:12,995 Could Galileo be right? 58 00:03:12,995 --> 00:03:17,593 Could we really be misinterpreting our experiences that badly? 59 00:03:17,593 --> 00:03:20,154 What does modern science have to say about this? 60 00:03:20,704 --> 00:03:25,928 Well, neuroscientists tell us that about a third of the brain's cortex 61 00:03:25,928 --> 00:03:27,786 is engaged in vision. 62 00:03:27,786 --> 00:03:31,292 When you simply open your eyes and look about this room, 63 00:03:31,292 --> 00:03:35,564 billions of neurons and trillions of synapses are engaged. 64 00:03:35,564 --> 00:03:37,172 Now, this is a bit surprising, 65 00:03:37,172 --> 00:03:39,813 because to the extent that we think about vision at all, 66 00:03:39,813 --> 00:03:42,650 we think of it as like a camera. 67 00:03:42,650 --> 00:03:46,590 It just takes a picture of objective reality as it is. 68 00:03:46,590 --> 00:03:50,290 Now, there is a part of vision that's like a camera: 69 00:03:50,290 --> 00:03:54,929 the eye has a lens that focuses an image on the back of the eye 70 00:03:54,929 --> 00:03:58,319 where there are 130 million photoreceptors, 71 00:03:58,319 --> 00:04:02,219 so the eye is like a 130-megapixel camera. 72 00:04:02,219 --> 00:04:05,702 But that doesn't explain the billions of neurons 73 00:04:05,702 --> 00:04:09,324 and trillions of synapses that are engaged in vision. 74 00:04:09,324 --> 00:04:11,623 What are these neurons up to? 75 00:04:11,623 --> 00:04:15,830 Well, neuroscientists tell us that they are creating, in real time, 76 00:04:15,830 --> 00:04:20,160 all the shapes, objects, colors, and motions that we see. 77 00:04:20,160 --> 00:04:23,651 It feels like we're just taking a snapshot of this room the way it is, 78 00:04:23,651 --> 00:04:27,226 but in fact, we're constructing everything that we see. 79 00:04:27,226 --> 00:04:30,407 We don't construct the whole world at once. 80 00:04:30,407 --> 00:04:33,172 We construct what we need in the moment. 81 00:04:33,542 --> 00:04:36,909 Now, there are many demonstrations that are quite compelling 82 00:04:36,909 --> 00:04:38,720 that we construct what we see. 83 00:04:38,720 --> 00:04:40,763 I'll just show you two. 84 00:04:40,763 --> 00:04:46,529 In this example, you see some red discs with bits cut out of them, 85 00:04:46,529 --> 00:04:49,470 but if I just rotate the disks a little bit, 86 00:04:49,470 --> 00:04:54,207 suddenly, you see a 3D cube pop out of the screen. 87 00:04:54,207 --> 00:04:57,040 Now, the screen of course is flat, 88 00:04:57,040 --> 00:04:59,640 so the three-dimensional cube that you're experiencing 89 00:04:59,640 --> 00:05:02,617 must be your construction. 90 00:05:03,397 --> 00:05:05,310 In this next example, 91 00:05:05,310 --> 00:05:09,534 you see glowing blue bars with pretty sharp edges 92 00:05:09,534 --> 00:05:12,718 moving across a field of dots. 93 00:05:13,708 --> 00:05:16,845 In fact, no dots move. 94 00:05:16,845 --> 00:05:21,466 All I'm doing from frame to frame is changing the colors of dots 95 00:05:21,466 --> 00:05:23,927 from blue to black or black to blue. 96 00:05:23,927 --> 00:05:25,761 But when I do this quickly, 97 00:05:25,761 --> 00:05:29,476 your visual system creates the glowing blue bars 98 00:05:29,476 --> 00:05:32,147 with the sharp edges and the motion. 99 00:05:32,147 --> 00:05:34,817 There are many more examples, but these are just two 100 00:05:34,817 --> 00:05:37,580 that you construct what you see. 101 00:05:37,580 --> 00:05:39,955 But neuroscientists go further. 102 00:05:41,395 --> 00:05:46,496 They say that we reconstruct reality. 103 00:05:46,496 --> 00:05:50,722 So, when I have an experience that I describe as a red tomato, 104 00:05:50,722 --> 00:05:54,855 that experience is actually an accurate reconstruction 105 00:05:54,855 --> 00:05:56,970 of the properties of a real red tomato 106 00:05:56,970 --> 00:06:00,265 that would exist even if I weren't looking. 107 00:06:01,595 --> 00:06:04,816 Now, why would neuroscientists say that we don't just construct, 108 00:06:04,816 --> 00:06:06,696 we reconstruct? 109 00:06:06,696 --> 00:06:09,227 Well, the standard argument given 110 00:06:09,227 --> 00:06:11,781 is usually an evolutionary one. 111 00:06:12,941 --> 00:06:15,380 Those of our ancestors who saw more accurately 112 00:06:15,380 --> 00:06:20,233 had a competitive advantage compared to those who saw less accurately, 113 00:06:20,233 --> 00:06:22,989 and therefore they were more likely to pass on their genes. 114 00:06:22,989 --> 00:06:26,380 We are the offspring of those who saw more accurately, 115 00:06:26,380 --> 00:06:29,149 and so we can be confident that, in the normal case, 116 00:06:29,149 --> 00:06:31,680 our perceptions are accurate. 117 00:06:31,680 --> 00:06:35,375 You see this in the standard textbooks. 118 00:06:35,375 --> 00:06:37,369 One textbook says, for example, 119 00:06:37,369 --> 00:06:39,340 "Evolutionarily speaking, 120 00:06:39,340 --> 00:06:43,383 vision is useful precisely because it is so accurate." 121 00:06:43,383 --> 00:06:48,181 So the idea is that accurate perceptions are fitter perceptions. 122 00:06:48,181 --> 00:06:50,325 They give you a survival advantage. 123 00:06:50,325 --> 00:06:52,240 Now, is this correct? 124 00:06:52,240 --> 00:06:54,899 Is this the right interpretation of evolutionary theory? 125 00:06:54,899 --> 00:06:58,280 Well, let's first look at a couple of examples in nature. 126 00:06:58,800 --> 00:07:01,238 The Australian jewel beetle 127 00:07:01,238 --> 00:07:04,349 is dimpled, glossy and brown. 128 00:07:04,349 --> 00:07:06,694 The female is flightless. 129 00:07:06,694 --> 00:07:10,711 The male flies, looking, of course, for a hot female. 130 00:07:10,711 --> 00:07:14,659 When he finds one, he alights and mates. 131 00:07:14,659 --> 00:07:17,130 There's another species in the outback, 132 00:07:17,130 --> 00:07:18,464 Homo sapiens. 133 00:07:18,464 --> 00:07:21,531 The male of this species has a massive brain 134 00:07:21,531 --> 00:07:25,479 that he uses to hunt for cold beer. 135 00:07:25,889 --> 00:07:27,168 (Laughter) 136 00:07:27,168 --> 00:07:29,542 And when he finds one, he drains it, 137 00:07:29,542 --> 00:07:32,932 and sometimes throws the bottle into the outback. 138 00:07:32,932 --> 00:07:37,180 Now, as it happens, these bottles are dimpled, glossy, 139 00:07:37,180 --> 00:07:41,320 and just the right shade of brown to tickle the fancy of these beetles. 140 00:07:42,772 --> 00:07:46,235 The males swarm all over the bottles trying to mate. 141 00:07:47,582 --> 00:07:50,369 They lose all interest in the real females. 142 00:07:50,369 --> 00:07:54,572 Classic case of the male leaving the female for the bottle. 143 00:07:54,572 --> 00:07:57,519 (Laughter) (Applause) 144 00:07:59,402 --> 00:08:01,773 The species almost went extinct. 145 00:08:02,443 --> 00:08:06,752 Australia had to change its bottles to save its beetles. 146 00:08:06,752 --> 00:08:09,752 (Laughter) 147 00:08:09,752 --> 00:08:13,960 Now, the males had successfully found females for thousands, 148 00:08:13,960 --> 00:08:16,398 perhaps millions of years. 149 00:08:16,398 --> 00:08:20,832 It looked like they saw reality as it is, but apparently not. 150 00:08:20,832 --> 00:08:23,689 Evolution had given them a hack. 151 00:08:23,689 --> 00:08:28,425 A female is anything dimpled, glossy and brown, 152 00:08:28,425 --> 00:08:30,701 the bigger the better. 153 00:08:30,701 --> 00:08:32,535 (Laughter) 154 00:08:32,535 --> 00:08:37,375 Even when crawling all over the bottle, the male couldn't discover his mistake. 155 00:08:37,945 --> 00:08:41,590 Now, you might say, beetles, sure, they're very simple creatures, 156 00:08:41,590 --> 00:08:43,448 but surely not mammals. 157 00:08:43,448 --> 00:08:46,165 Mammals don't rely on tricks. 158 00:08:46,165 --> 00:08:52,178 Well, I won't dwell on this, but you get the idea. (Laughter) 159 00:08:52,178 --> 00:08:55,336 So this raises an important technical question: 160 00:08:55,336 --> 00:09:01,327 Does natural selection really favor seeing reality as it is? 161 00:09:01,877 --> 00:09:05,413 Fortunately, we don't have to wave our hands and guess; 162 00:09:05,413 --> 00:09:08,594 evolution is a mathematically precise theory. 163 00:09:08,594 --> 00:09:12,147 We can use the equations of evolution to check this out. 164 00:09:12,147 --> 00:09:16,300 We can have various organisms in artificial worlds compete 165 00:09:16,300 --> 00:09:18,253 and see which survive and which thrive, 166 00:09:18,253 --> 00:09:21,806 which sensory systems are more fit. 167 00:09:21,806 --> 00:09:25,891 A key notion in those equations is fitness. 168 00:09:25,891 --> 00:09:28,586 Consider this steak: 169 00:09:29,956 --> 00:09:32,918 What does this steak do for the fitness of an animal? 170 00:09:33,438 --> 00:09:39,454 Well, for a hungry lion looking to eat, it enhances fitness. 171 00:09:40,179 --> 00:09:44,773 For a well-fed lion looking to mate, it doesn't enhance fitness. 172 00:09:46,053 --> 00:09:49,924 And for a rabbit in any state, it doesn't enhance fitness, 173 00:09:49,924 --> 00:09:54,048 so fitness does depend on reality as it is, yes, 174 00:09:54,048 --> 00:09:58,236 but also on the organism, its state and its action. 175 00:09:58,236 --> 00:10:01,789 Fitness is not the same thing as reality as it is, 176 00:10:01,789 --> 00:10:05,272 and it's fitness, and not reality as it is, 177 00:10:05,272 --> 00:10:09,451 that figures centrally in the equations of evolution. 178 00:10:09,451 --> 00:10:12,642 So, in my lab, 179 00:10:12,642 --> 00:10:16,417 we have run hundreds of thousands of evolutionary game simulations 180 00:10:16,417 --> 00:10:19,482 with lots of different randomly chosen worlds 181 00:10:19,482 --> 00:10:23,661 and organisms that compete for resources in those worlds. 182 00:10:23,661 --> 00:10:27,980 Some of the organisms see all of the reality, 183 00:10:27,980 --> 00:10:29,869 others see just part of the reality, 184 00:10:29,869 --> 00:10:31,974 and some see none of the reality, 185 00:10:31,974 --> 00:10:33,740 only fitness. 186 00:10:34,240 --> 00:10:35,820 Who wins? 187 00:10:36,290 --> 00:10:42,255 Well, I hate to break it to you, but perception of reality goes extinct. 188 00:10:42,255 --> 00:10:44,164 In almost every simulation, 189 00:10:44,164 --> 00:10:46,346 organisms that see none of reality 190 00:10:46,346 --> 00:10:48,436 but are just tuned to fitness 191 00:10:48,436 --> 00:10:53,660 drive to extinction all the organisms that perceive reality as it is. 192 00:10:53,660 --> 00:10:58,250 So the bottom line is, evolution does not favor veridical, 193 00:10:58,250 --> 00:10:59,906 or accurate perceptions. 194 00:10:59,906 --> 00:11:03,668 Those perceptions of reality go extinct. 195 00:11:03,668 --> 00:11:05,688 Now, this is a bit stunning. 196 00:11:05,688 --> 00:11:09,370 How can it be that not seeing the world accurately 197 00:11:09,370 --> 00:11:11,190 gives us a survival advantage? 198 00:11:11,190 --> 00:11:13,303 That is a bit counterintuitive. 199 00:11:13,303 --> 00:11:15,138 But remember the jewel beetle. 200 00:11:15,138 --> 00:11:18,899 The jewel beetle survived for thousands, perhaps millions of years, 201 00:11:18,899 --> 00:11:21,593 using simple tricks and hacks. 202 00:11:21,593 --> 00:11:24,770 What the equations of evolution are telling us 203 00:11:24,770 --> 00:11:30,413 is that all organisms, including us, are in the same boat as the jewel beetle. 204 00:11:30,413 --> 00:11:32,343 We do not see reality as it is. 205 00:11:32,343 --> 00:11:36,615 We're shaped with tricks and hacks that keep us alive. 206 00:11:36,615 --> 00:11:38,635 Still, 207 00:11:38,635 --> 00:11:40,702 we need some help with our intuitions. 208 00:11:40,702 --> 00:11:45,485 How can not perceiving reality as it is be useful? 209 00:11:45,485 --> 00:11:49,154 Well, fortunately, we have a very helpful metaphor: 210 00:11:49,154 --> 00:11:51,986 the desktop interface on your computer. 211 00:11:51,986 --> 00:11:56,119 Consider that blue icon for a TED Talk that you're writing. 212 00:11:56,119 --> 00:12:00,123 Now, the icon is blue and rectangular 213 00:12:00,123 --> 00:12:02,504 and in the lower right corner of the desktop. 214 00:12:03,324 --> 00:12:07,510 Does that mean that the text file itself in the computer is blue, 215 00:12:08,200 --> 00:12:11,955 rectangular, and in the lower right-hand corner of the computer? 216 00:12:11,955 --> 00:12:13,278 Of course not. 217 00:12:13,278 --> 00:12:17,987 Anyone who thought that misinterprets the purpose of the interface. 218 00:12:17,987 --> 00:12:20,755 It's not there to show you the reality of the computer. 219 00:12:20,755 --> 00:12:23,680 In fact, it's there to hide that reality. 220 00:12:23,680 --> 00:12:25,555 You don't want to know about the diodes 221 00:12:25,555 --> 00:12:27,805 and resistors and all the megabytes of software. 222 00:12:27,805 --> 00:12:30,936 If you had to deal with that, you could never write your text file 223 00:12:30,936 --> 00:12:32,411 or edit your photo. 224 00:12:32,411 --> 00:12:37,128 So the idea is that evolution has given us an interface 225 00:12:37,128 --> 00:12:41,443 that hides reality and guides adaptive behavior. 226 00:12:41,443 --> 00:12:44,461 Space and time, as you perceive them right now, 227 00:12:44,461 --> 00:12:46,635 are your desktop. 228 00:12:46,635 --> 00:12:51,372 Physical objects are simply icons in that desktop. 229 00:12:52,192 --> 00:12:54,413 There's an obvious objection. 230 00:12:54,413 --> 00:12:58,361 Hoffman, if you think that train coming down the track at 200 MPH 231 00:12:58,361 --> 00:13:00,822 is just an icon of your desktop, 232 00:13:00,822 --> 00:13:02,947 why don't you step in front of it? 233 00:13:02,947 --> 00:13:05,240 And after you're gone, and your theory with you, 234 00:13:05,240 --> 00:13:08,554 we'll know that there's more to that train than just an icon. 235 00:13:08,554 --> 00:13:10,597 Well, I wouldn't step in front of that train 236 00:13:10,597 --> 00:13:12,153 for the same reason 237 00:13:12,153 --> 00:13:16,448 that I wouldn't carelessly drag that icon to the trash can: 238 00:13:16,448 --> 00:13:19,629 not because I take the icon literally -- 239 00:13:19,629 --> 00:13:22,634 the file is not literally blue or rectangular -- 240 00:13:22,934 --> 00:13:25,260 but I do take it seriously. 241 00:13:25,260 --> 00:13:27,291 I could lose weeks of work. 242 00:13:27,291 --> 00:13:29,845 Similarly, evolution has shaped us 243 00:13:29,845 --> 00:13:34,281 with perceptual symbols that are designed to keep us alive. 244 00:13:34,811 --> 00:13:37,276 We'd better take them seriously. 245 00:13:37,276 --> 00:13:39,481 If you see a snake, don't pick it up. 246 00:13:40,391 --> 00:13:43,150 If you see a cliff, don't jump off. 247 00:13:43,150 --> 00:13:46,726 They're designed to keep us safe, and we should take them seriously. 248 00:13:46,726 --> 00:13:49,417 That does not mean that we should take them literally. 249 00:13:49,417 --> 00:13:51,671 That's a logical error. 250 00:13:51,671 --> 00:13:54,876 Another objection: There's nothing really new here. 251 00:13:54,876 --> 00:13:58,800 Physicists have told us for a long time that the metal of that train looks solid 252 00:13:58,800 --> 00:14:03,188 but really it's mostly empty space with microscopic particles zipping around. 253 00:14:03,188 --> 00:14:04,676 There's nothing new here. 254 00:14:04,676 --> 00:14:06,880 Well, not exactly. 255 00:14:06,880 --> 00:14:10,920 It's like saying, I know that that blue icon on the desktop 256 00:14:10,920 --> 00:14:13,219 is not the reality of the computer, 257 00:14:13,219 --> 00:14:16,678 but if I pull out my trusty magnifying glass and look really closely, 258 00:14:16,678 --> 00:14:18,489 I see little pixels, 259 00:14:18,489 --> 00:14:20,950 and that's the reality of the computer. 260 00:14:20,950 --> 00:14:24,758 Well, not really -- you're still on the desktop, and that's the point. 261 00:14:24,758 --> 00:14:27,754 Those microscopic particles are still in space and time: 262 00:14:27,754 --> 00:14:30,145 they're still in the user interface. 263 00:14:30,145 --> 00:14:33,907 So I'm saying something far more radical than those physicists. 264 00:14:34,727 --> 00:14:36,200 Finally, you might object, 265 00:14:36,200 --> 00:14:38,759 look, we all see the train, 266 00:14:38,759 --> 00:14:41,801 therefore none of us constructs the train. 267 00:14:41,801 --> 00:14:43,891 But remember this example. 268 00:14:43,891 --> 00:14:46,607 In this example, we all see a cube, 269 00:14:47,597 --> 00:14:49,690 but the screen is flat, 270 00:14:49,690 --> 00:14:52,427 so the cube that you see is the cube that you construct. 271 00:14:53,736 --> 00:14:55,779 We all see a cube 272 00:14:55,779 --> 00:15:00,638 because we all, each one of us, constructs the cube that we see. 273 00:15:00,638 --> 00:15:02,698 The same is true of the train. 274 00:15:02,698 --> 00:15:07,180 We all see a train because we each see the train that we construct, 275 00:15:07,180 --> 00:15:10,733 and the same is true of all physical objects. 276 00:15:12,343 --> 00:15:17,396 We're inclined to think that perception is like a window on reality as it is. 277 00:15:17,396 --> 00:15:22,400 The theory of evolution is telling us that this is an incorrect interpretation 278 00:15:22,400 --> 00:15:23,865 of our perceptions. 279 00:15:25,095 --> 00:15:28,639 Instead, reality is more like a 3D desktop 280 00:15:28,639 --> 00:15:31,936 that's designed to hide the complexity of the real world 281 00:15:31,936 --> 00:15:33,802 and guide adaptive behavior. 282 00:15:34,282 --> 00:15:37,210 Space as you perceive it is your desktop. 283 00:15:37,210 --> 00:15:40,236 Physical objects are just the icons in that desktop. 284 00:15:41,456 --> 00:15:45,126 We used to think that the Earth is flat because it looks that way. 285 00:15:45,520 --> 00:15:48,654 Then we thought that the Earth is the unmoving center of reality 286 00:15:48,654 --> 00:15:50,378 because it looks that way. 287 00:15:50,378 --> 00:15:51,520 We were wrong. 288 00:15:51,520 --> 00:15:54,190 We had misinterpreted our perceptions. 289 00:15:54,910 --> 00:15:58,319 Now we believe that spacetime and objects 290 00:15:58,319 --> 00:16:00,933 are the nature of reality as it is. 291 00:16:01,453 --> 00:16:05,377 The theory of evolution is telling us that once again, we're wrong. 292 00:16:05,377 --> 00:16:10,416 We're misinterpreting the content of our perceptual experiences. 293 00:16:10,416 --> 00:16:12,947 There's something that exists when you don't look, 294 00:16:12,947 --> 00:16:16,350 but it's not spacetime and physical objects. 295 00:16:16,350 --> 00:16:19,378 It's as hard for us to let go of spacetime and objects 296 00:16:19,378 --> 00:16:22,861 as it is for the jewel beetle to let go of its bottle. 297 00:16:22,861 --> 00:16:27,279 Why? Because we're blind to our own blindnesses. 298 00:16:28,409 --> 00:16:30,756 But we have an advantage over the jewel beetle: 299 00:16:30,756 --> 00:16:32,544 our science and technology. 300 00:16:32,544 --> 00:16:34,935 By peering through the lens of a telescope 301 00:16:34,935 --> 00:16:39,571 we discovered that the Earth is not the unmoving center of reality, 302 00:16:39,571 --> 00:16:42,449 and by peering through the lens of the theory of evolution 303 00:16:42,449 --> 00:16:44,771 we discovered that spacetime and objects 304 00:16:44,771 --> 00:16:47,139 are not the nature of reality. 305 00:16:47,139 --> 00:16:51,424 When I have a perceptual experience that I describe as a red tomato, 306 00:16:51,424 --> 00:16:54,361 I am interacting with reality, 307 00:16:54,361 --> 00:16:59,571 but that reality is not a red tomato and is nothing like a red tomato. 308 00:16:59,571 --> 00:17:04,972 Similarly, when I have an experience that I describe as a lion or a steak, 309 00:17:04,972 --> 00:17:06,820 I'm interacting with reality, 310 00:17:06,820 --> 00:17:09,978 but that reality is not a lion or a steak. 311 00:17:09,978 --> 00:17:11,998 And here's the kicker: 312 00:17:11,998 --> 00:17:16,688 When I have a perceptual experience that I describe as a brain, or neurons, 313 00:17:16,688 --> 00:17:18,778 I am interacting with reality, 314 00:17:18,778 --> 00:17:22,307 but that reality is not a brain or neurons 315 00:17:22,307 --> 00:17:25,805 and is nothing like a brain or neurons. 316 00:17:25,805 --> 00:17:30,584 And that reality, whatever it is, 317 00:17:30,584 --> 00:17:34,195 is the real source of cause and effect 318 00:17:34,195 --> 00:17:38,227 in the world -- not brains, not neurons. 319 00:17:38,227 --> 00:17:40,827 Brains and neurons have no causal powers. 320 00:17:40,827 --> 00:17:43,428 They cause none of our perceptual experiences, 321 00:17:43,428 --> 00:17:45,216 and none of our behavior. 322 00:17:45,216 --> 00:17:50,592 Brains and neurons are a species-specific set of symbols, a hack. 323 00:17:50,592 --> 00:17:53,273 What does this mean for the mystery of consciousness? 324 00:17:53,923 --> 00:17:57,916 Well, it opens up new possibilities. 325 00:17:57,916 --> 00:17:59,611 For instance, 326 00:17:59,611 --> 00:18:06,590 perhaps reality is some vast machine that causes our conscious experiences. 327 00:18:06,590 --> 00:18:10,260 I doubt this, but it's worth exploring. 328 00:18:10,260 --> 00:18:15,609 Perhaps reality is some vast, interacting network of conscious agents, 329 00:18:15,609 --> 00:18:21,182 simple and complex, that cause each other's conscious experiences. 330 00:18:21,182 --> 00:18:24,432 Actually, this isn't as crazy an idea as it seems, 331 00:18:24,432 --> 00:18:26,052 and I'm currently exploring it. 332 00:18:26,592 --> 00:18:28,658 But here's the point: 333 00:18:28,658 --> 00:18:31,979 Once we let go of our massively intuitive 334 00:18:31,979 --> 00:18:35,903 but massively false assumption about the nature of reality, 335 00:18:35,903 --> 00:18:40,291 it opens up new ways to think about life's greatest mystery. 336 00:18:41,251 --> 00:18:45,860 I bet that reality will end up turning out to be more fascinating 337 00:18:45,860 --> 00:18:49,834 and unexpected than we've ever imagined. 338 00:18:49,834 --> 00:18:54,222 The theory of evolution presents us with the ultimate dare: 339 00:18:54,222 --> 00:18:59,364 Dare to recognize that perception is not about seeing truth, 340 00:18:59,364 --> 00:19:03,460 it's about having kids. 341 00:19:03,460 --> 00:19:08,200 And by the way, even this TED is just in your head. 342 00:19:08,200 --> 00:19:10,244 Thank you very much. 343 00:19:10,244 --> 00:19:13,632 (Applause) 344 00:19:20,786 --> 00:19:24,221 Chris Anderson: If that's really you there, thank you. 345 00:19:24,221 --> 00:19:27,152 So there's so much from this. 346 00:19:27,152 --> 00:19:30,421 I mean, first of all, some people may just be profoundly depressed 347 00:19:30,421 --> 00:19:35,970 at the thought that, if evolution does not favor reality, 348 00:19:35,970 --> 00:19:39,300 I mean, doesn't that to some extent undermine all our endeavors here, 349 00:19:39,300 --> 00:19:41,984 all our ability to think that we can think the truth, 350 00:19:41,984 --> 00:19:45,490 possibly even including your own theory, if you go there? 351 00:19:45,490 --> 00:19:49,944 Donald Hoffman: Well, this does not stop us from a successful science. 352 00:19:49,944 --> 00:19:52,756 What we have is one theory that turned out to be false, 353 00:19:52,756 --> 00:19:57,215 that perception is like reality and reality is like our perceptions. 354 00:19:57,215 --> 00:19:58,900 That theory turns out to be false. 355 00:19:58,900 --> 00:20:00,318 Okay, throw that theory away. 356 00:20:00,318 --> 00:20:03,572 That doesn't stop us from now postulating all sorts of other theories 357 00:20:03,572 --> 00:20:04,930 about the nature of reality, 358 00:20:04,930 --> 00:20:08,535 so it's actually progress to recognize that one of our theories was false. 359 00:20:08,535 --> 00:20:11,193 So science continues as normal. There's no problem here. 360 00:20:11,193 --> 00:20:13,794 CA: So you think it's possible -- (Laughter) -- 361 00:20:13,794 --> 00:20:17,904 This is cool, but what you're saying I think is it's possible that evolution 362 00:20:17,904 --> 00:20:20,551 can still get you to reason. 363 00:20:20,551 --> 00:20:22,864 DH: Yes. Now that's a very, very good point. 364 00:20:22,864 --> 00:20:27,391 The evolutionary game simulations that I showed were specifically about perception, 365 00:20:27,391 --> 00:20:29,969 and they do show that our perceptions have been shaped 366 00:20:29,969 --> 00:20:31,849 not to show us reality as it is, 367 00:20:31,849 --> 00:20:36,122 but that does not mean the same thing about our logic or mathematics. 368 00:20:36,122 --> 00:20:39,744 We haven't done these simulations, but my bet is that we'll find 369 00:20:39,744 --> 00:20:43,366 that there are some selection pressures for our logic and our mathematics 370 00:20:43,366 --> 00:20:45,572 to be at least in the direction of truth. 371 00:20:45,572 --> 00:20:48,219 I mean, if you're like me, math and logic is not easy. 372 00:20:48,219 --> 00:20:51,570 We don't get it all right, but at least the selection pressures are not 373 00:20:51,570 --> 00:20:53,908 uniformly away from true math and logic. 374 00:20:53,908 --> 00:20:57,228 So I think that we'll find that we have to look at each cognitive faculty 375 00:20:57,228 --> 00:20:59,852 one at a time and see what evolution does to it. 376 00:20:59,852 --> 00:21:03,613 What's true about perception may not be true about math and logic. 377 00:21:03,613 --> 00:21:07,607 CA: I mean, really what you're proposing is a kind of modern-day Bishop Berkeley 378 00:21:07,607 --> 00:21:09,998 interpretation of the world: 379 00:21:09,998 --> 00:21:12,947 consciousness causes matter, not the other way around. 380 00:21:12,947 --> 00:21:15,339 DH: Well, it's slightly different than Berkeley. 381 00:21:15,339 --> 00:21:18,701 Berkeley thought that, he was a deist, and he thought that the ultimate 382 00:21:18,701 --> 00:21:20,740 nature of reality is God and so forth, 383 00:21:20,740 --> 00:21:23,850 and I don't need to go where Berkeley's going, 384 00:21:23,850 --> 00:21:26,545 so it's quite a bit different from Berkeley. 385 00:21:27,725 --> 00:21:31,235 I call this conscious realism. It's actually a very different approach. 386 00:21:31,235 --> 00:21:34,825 CA: Don, I could literally talk with you for hours, and I hope to do that. 387 00:21:34,825 --> 00:21:37,298 Thanks so much for that. DH: Thank you. (Applause)