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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,400 --> 00:00:02,900 Did you do this? I didn't do that. 2 00:00:02,901 --> 00:00:04,102 You realize it's $400. No. 3 00:00:04,103 --> 00:00:05,705 Dude, it wasn't me. Come in. Come on. 4 00:00:05,706 --> 00:00:09,975 You ever tell a lie... Even a little one? 5 00:00:09,976 --> 00:00:12,012 [ Cellphone chimes ] 6 00:00:14,646 --> 00:00:18,949 Is technology making it easier for us to lie? 7 00:00:18,950 --> 00:00:21,153 Or maybe nothing ever changes, 8 00:00:21,154 --> 00:00:25,156 and dishonesty is just a timeless part of human nature. 9 00:00:25,157 --> 00:00:26,191 Dion. Oh. 10 00:00:26,192 --> 00:00:27,193 What are you doing? Who is that? 11 00:00:27,194 --> 00:00:30,127 Could society function in a world 12 00:00:30,128 --> 00:00:32,130 without lying or secrets? 13 00:00:32,131 --> 00:00:34,432 No, I do not have another girlfriend. 14 00:00:34,433 --> 00:00:35,017 [ Buzzer ] 15 00:00:35,018 --> 00:00:35,600 Mm. 16 00:00:35,601 --> 00:00:37,369 Well, you're a liar. 17 00:00:40,272 --> 00:00:43,841 Dishonesty might be so widespread 18 00:00:43,842 --> 00:00:47,913 because we're so easily fooled, 19 00:00:47,914 --> 00:00:51,582 and our memories are fallible. 20 00:00:51,583 --> 00:00:55,487 Can we ever see the true nature of reality? 21 00:00:57,457 --> 00:01:00,493 Or is truth just a lie? 22 00:01:05,698 --> 00:01:09,669 Space, time, life itself. 23 00:01:12,604 --> 00:01:17,642 The secrets of the cosmos lie through the wormhole. 24 00:01:17,643 --> 00:01:20,644 Captions by vitac www.Vitac.Com 25 00:01:20,645 --> 00:01:23,683 captions paid for by discovery communications 26 00:01:28,086 --> 00:01:31,857 I'm going to let you in on a little secret. 27 00:01:34,794 --> 00:01:38,963 I have never told a lie. 28 00:01:38,964 --> 00:01:46,037 Not once in my long career has an untruth crossed my lips, 29 00:01:46,038 --> 00:01:48,041 honest. 30 00:01:49,842 --> 00:01:51,609 [ Chuckles ] 31 00:01:51,610 --> 00:01:54,212 We all agree that lying is shameful, 32 00:01:54,213 --> 00:01:59,751 yet we still deliberately deceive each other all the time. 33 00:01:59,752 --> 00:02:05,889 Perhaps we lie because we just can't help it. 34 00:02:05,890 --> 00:02:08,693 When did you tell your first lie? 35 00:02:08,694 --> 00:02:13,598 Perhaps it was soon after you were first lied to. 36 00:02:13,599 --> 00:02:16,035 I told my son if he didn't eat his broccoli, 37 00:02:16,036 --> 00:02:19,871 he would be under 4 feet the rest of his life. 38 00:02:19,872 --> 00:02:22,708 I told my son his blanket would protect him from monsters 39 00:02:22,709 --> 00:02:24,141 in the closet. 40 00:02:24,142 --> 00:02:26,944 I told my daughter if she didn't keep her room clean, 41 00:02:26,945 --> 00:02:30,882 she would never find a man that would want to marry her. 42 00:02:30,883 --> 00:02:33,384 Freeman: Kang Lee is a developmental psychologist 43 00:02:33,385 --> 00:02:35,687 at the university of Toronto. 44 00:02:35,688 --> 00:02:40,859 As a father, he understands why we lie to our kids. 45 00:02:40,860 --> 00:02:45,830 Sometimes, you have exhausted all the other better methods, 46 00:02:45,831 --> 00:02:48,534 and the lying sometimes becomes the only way 47 00:02:48,535 --> 00:02:51,336 you can deal with the situation on hand. 48 00:02:51,337 --> 00:02:55,841 Freeman: In fact, Kang is as guilty as the rest of us. 49 00:02:55,842 --> 00:02:59,411 I used to drive my son Nathan to his school every morning. 50 00:02:59,412 --> 00:03:01,111 [ Indistinct shouting ] 51 00:03:01,112 --> 00:03:03,413 And sometimes, in the backseat, 52 00:03:03,414 --> 00:03:05,984 and he would be acting up and screaming, yelling, 53 00:03:05,985 --> 00:03:08,220 and I pointed to the hazard light 54 00:03:08,221 --> 00:03:11,890 and I said, "that actually is an eject button. 55 00:03:11,891 --> 00:03:14,491 If I push that button, your car seat 56 00:03:14,492 --> 00:03:17,462 is going to blow off and go through the roof, 57 00:03:17,463 --> 00:03:20,298 and you're going to fly out of the car." 58 00:03:20,299 --> 00:03:25,003 And immediately, he became very quiet. 59 00:03:25,004 --> 00:03:27,106 Freeman: Would children remain honest and pure 60 00:03:27,107 --> 00:03:32,210 if we grown ups didn't corrupt them with our lies? 61 00:03:32,211 --> 00:03:35,312 Kang believes something deeper is going on. 62 00:03:35,313 --> 00:03:37,681 He and his colleagues have run an experiment 63 00:03:37,682 --> 00:03:40,786 with thousands of kids of various ages. 64 00:03:40,787 --> 00:03:43,621 [ Barking ] 65 00:03:43,622 --> 00:03:46,890 What do you think it is? 66 00:03:46,891 --> 00:03:48,225 A dog. A dog. 67 00:03:48,226 --> 00:03:50,093 Come around. Yes, it is a dog. 68 00:03:50,094 --> 00:03:50,778 Doggy. 69 00:03:50,779 --> 00:03:51,461 [ Chuckles ] 70 00:03:51,462 --> 00:03:53,899 It starts as a game... 71 00:03:53,900 --> 00:03:57,836 Guess the animal from just the sound it makes. 72 00:03:57,837 --> 00:03:59,003 [ Neighing ] 73 00:03:59,004 --> 00:04:00,638 A horse? Yes. 74 00:04:00,639 --> 00:04:02,606 Turn around. Take a look. 75 00:04:02,607 --> 00:04:04,374 Yeah. 76 00:04:04,375 --> 00:04:05,811 Kids are promised a prize 77 00:04:05,812 --> 00:04:07,646 if they can guess the third animal correctly. 78 00:04:07,647 --> 00:04:08,713 Turn around. 79 00:04:08,714 --> 00:04:10,715 Then, the grown ups leave the room. 80 00:04:10,716 --> 00:04:11,784 And I'm gonna play the sound... 81 00:04:11,785 --> 00:04:15,787 All right. So I'll be right back, okay? 82 00:04:15,788 --> 00:04:18,021 [ Door opens, closes ] 83 00:04:18,022 --> 00:04:20,193 [ Door closes ] 84 00:04:28,101 --> 00:04:30,336 You can guess how well that worked. 85 00:04:30,337 --> 00:04:32,002 Hidden cameras revealed 86 00:04:32,003 --> 00:04:35,706 that for many children, the temptation was too great. 87 00:04:35,707 --> 00:04:37,309 [ Door opens, closes ] 88 00:04:37,310 --> 00:04:38,843 Sorry. 89 00:04:38,844 --> 00:04:40,478 You can turn around now. 90 00:04:40,479 --> 00:04:41,646 When I was gone, 91 00:04:41,647 --> 00:04:44,214 did you turn around to peek to see what it is? 92 00:04:44,215 --> 00:04:45,483 No? Okay. 93 00:04:45,484 --> 00:04:47,185 Now, what do you think it is? 94 00:04:47,186 --> 00:04:48,003 Cow. 95 00:04:48,004 --> 00:04:48,819 It's a cow? 96 00:04:48,820 --> 00:04:52,223 If they later identified the animal without ever hearing it, 97 00:04:52,224 --> 00:04:56,927 the experimenters knew those children lied. 98 00:04:56,928 --> 00:04:58,728 Lee: That's basically the procedure 99 00:04:58,729 --> 00:05:03,134 we have been using with kids in the U.S., in Canada, 100 00:05:03,135 --> 00:05:06,504 in China, in Africa. 101 00:05:06,505 --> 00:05:11,375 And it works very, very well with kids all over the world. 102 00:05:11,376 --> 00:05:12,877 Freeman: Researchers used to believe 103 00:05:12,878 --> 00:05:16,113 that children start lying around age 5, 104 00:05:16,114 --> 00:05:19,416 after more exposure to the adult world. 105 00:05:19,417 --> 00:05:22,821 But Kang has shown that lying starts much earlier. 106 00:05:22,822 --> 00:05:23,890 What do you think it is? 107 00:05:23,891 --> 00:05:24,956 Cow. 108 00:05:24,957 --> 00:05:26,891 [ Laughing ] It's a cow. Okay. 109 00:05:26,892 --> 00:05:29,326 How do you know it's a cow? 110 00:05:29,327 --> 00:05:32,730 Kids actually start to tell lies at 2 years of age, 111 00:05:32,731 --> 00:05:34,833 so that is very surprising. 112 00:05:34,834 --> 00:05:36,468 At 2 years of age, 113 00:05:36,469 --> 00:05:39,769 about 30% of kids would tell lies, 114 00:05:39,770 --> 00:05:41,939 and at 3 years of age, 115 00:05:41,940 --> 00:05:45,343 about 50% of the kids would tell a lie. 116 00:05:45,344 --> 00:05:49,913 By 7 and 8 years of age, 100% of kids will lie. 117 00:05:49,914 --> 00:05:51,915 Did you turn around to peek? 118 00:05:51,916 --> 00:05:53,550 No. 119 00:05:53,551 --> 00:05:56,254 Freeman: Kang's revelation is enough to send worried parents 120 00:05:56,255 --> 00:05:57,721 into a tizzy, 121 00:05:57,722 --> 00:06:02,026 except there is a bright side to early lying. 122 00:06:02,027 --> 00:06:05,829 Lee: Those kids who lie earlier than the other kids 123 00:06:05,830 --> 00:06:07,132 are actually those kids 124 00:06:07,133 --> 00:06:10,668 who have better cognitive development abilities. 125 00:06:10,669 --> 00:06:12,504 So they seem to be more advanced 126 00:06:12,505 --> 00:06:15,006 than those kids who are telling the truth, 127 00:06:15,007 --> 00:06:18,476 which is totally surprising to us. 128 00:06:18,477 --> 00:06:22,814 Freeman: A good lie requires forethought and self control. 129 00:06:22,815 --> 00:06:26,718 Lee: You have to be able to plan ahead what you are going to say 130 00:06:26,719 --> 00:06:29,321 and how you are going to say it. 131 00:06:29,322 --> 00:06:31,122 Freeman: In other words, the onset of lying 132 00:06:31,123 --> 00:06:34,527 is an important stage in brain development. 133 00:06:37,096 --> 00:06:41,232 But why do we start lying as soon as our brains are able to? 134 00:06:41,233 --> 00:06:45,170 Would we be better off always telling the truth? 135 00:06:45,171 --> 00:06:48,506 Lee: Some of them are actually very good... prosocial lies. 136 00:06:48,507 --> 00:06:51,076 The reason we tell white lies is because 137 00:06:51,077 --> 00:06:55,112 we do not want to hurt other people's feelings. 138 00:06:55,113 --> 00:06:58,548 Imagine I'm playing cards with my friends. 139 00:06:58,549 --> 00:07:02,252 At the same time, I really want to watch my favorite TV show. 140 00:07:02,253 --> 00:07:03,420 What do I do? 141 00:07:03,421 --> 00:07:06,490 One way I can do it is do it bluntly. 142 00:07:06,491 --> 00:07:09,826 My favorite TV show just came on and, uh, so I have to go. 143 00:07:09,827 --> 00:07:11,930 Uh, thank... Thank you, guys. 144 00:07:11,931 --> 00:07:13,932 Bye bye. 145 00:07:13,933 --> 00:07:15,600 Nobody's gonna like you. 146 00:07:15,601 --> 00:07:18,269 Or you can do it differently. 147 00:07:18,270 --> 00:07:21,439 You basically tell a white lie by saying, "oh, you know, 148 00:07:21,440 --> 00:07:23,509 I don't feel very good. I have to lie down." 149 00:07:23,510 --> 00:07:24,641 Sorry, guys. 150 00:07:24,642 --> 00:07:26,244 I suddenly don't feel very well. 151 00:07:26,245 --> 00:07:27,913 I probably have to go in and lie down. 152 00:07:27,914 --> 00:07:29,213 Uh... Oh, do you need water? 153 00:07:29,214 --> 00:07:31,817 So you really have to be able to know when is the time 154 00:07:31,818 --> 00:07:33,050 to tell the truth 155 00:07:33,051 --> 00:07:36,723 and when is not a good time to tell the truth. 156 00:07:38,800 --> 00:07:43,135 A little white lie doesn't hurt anyone. 157 00:07:43,136 --> 00:07:47,840 But some people can't stop twisting the truth, no matter 158 00:07:47,841 --> 00:07:52,813 how damaging the consequences to others or themselves. 159 00:07:52,814 --> 00:07:57,818 For them, dishonesty is a disease. 160 00:07:57,819 --> 00:08:01,688 What separates these pathological liars 161 00:08:01,689 --> 00:08:04,758 from the rest of us? 162 00:08:04,759 --> 00:08:07,828 Charles Ponzi began lying to his investment clients 163 00:08:07,829 --> 00:08:11,397 in the early 1900s, and he couldn't stop, 164 00:08:11,398 --> 00:08:16,102 even after he'd been to prison three times for fraud. 165 00:08:16,103 --> 00:08:19,039 18th century journalist Daniel defoe 166 00:08:19,040 --> 00:08:22,042 invented as many facts as he reported 167 00:08:22,043 --> 00:08:24,945 and did time for slander. 168 00:08:24,946 --> 00:08:29,849 What drives some liars to reach pathological levels of deceit? 169 00:08:29,850 --> 00:08:32,886 That's what Yaling Yang, a psychologist 170 00:08:32,887 --> 00:08:36,857 at children's hospital Los Angeles, wants to find out. 171 00:08:36,858 --> 00:08:40,961 We start to spot inconsistency between their statement. 172 00:08:40,962 --> 00:08:44,865 Even when they know that we have other data, 173 00:08:44,866 --> 00:08:47,567 including official criminal records, 174 00:08:47,568 --> 00:08:50,236 they still lie. 175 00:08:50,237 --> 00:08:51,538 Freeman: Yaling and her colleagues 176 00:08:51,539 --> 00:08:53,640 wondered if there might be physical differences 177 00:08:53,641 --> 00:08:56,144 between the brains of pathological liars 178 00:08:56,145 --> 00:08:59,078 and the brains of average people. 179 00:08:59,079 --> 00:09:01,780 The brain stores our memories and knowledge 180 00:09:01,781 --> 00:09:03,884 in gray matter cells, 181 00:09:03,885 --> 00:09:07,487 but another type of neuron, the white matter cell, 182 00:09:07,488 --> 00:09:12,092 creates connections between all that information. 183 00:09:12,093 --> 00:09:15,962 Whenever we tell a story, whether it's true or not, 184 00:09:15,963 --> 00:09:18,432 we have to gather details from gray matter cells 185 00:09:18,433 --> 00:09:20,636 in different parts of the brain. 186 00:09:23,338 --> 00:09:27,707 It's like gleaning information from a series of books. 187 00:09:27,708 --> 00:09:30,312 The books are the gray matter, filled with the knowledge 188 00:09:30,313 --> 00:09:33,914 that you need to fit together into a compelling narrative. 189 00:09:33,915 --> 00:09:39,486 The aisles that lead from book to book are the white matter. 190 00:09:39,487 --> 00:09:43,591 Imagine going to a bookstore to get 10 different books 191 00:09:43,592 --> 00:09:45,293 that are scattered 192 00:09:45,294 --> 00:09:48,794 across different areas of the bookstore. 193 00:09:48,795 --> 00:09:53,165 Having multiple pathways that lead you to the books 194 00:09:53,166 --> 00:09:58,071 will help you get to the books more easily and quickly. 195 00:09:58,072 --> 00:10:01,176 The human brain works in a very similar fashion. 196 00:10:01,177 --> 00:10:02,842 When you have more connections 197 00:10:02,843 --> 00:10:05,645 between various parts of the brain, that will make it 198 00:10:05,646 --> 00:10:09,916 easier for you to retrieve important information. 199 00:10:09,917 --> 00:10:11,885 Freeman: For example, let's say a friend 200 00:10:11,886 --> 00:10:16,023 asks Yaling what she had for dinner yesterday. 201 00:10:16,024 --> 00:10:17,457 To tell the truth, 202 00:10:17,458 --> 00:10:20,861 she only has to gather a few pieces of information. 203 00:10:20,862 --> 00:10:24,063 She ate spaghetti and a salad at home. 204 00:10:24,064 --> 00:10:26,199 But lying is harder. 205 00:10:26,200 --> 00:10:28,635 Yaling would have to ignore the truth 206 00:10:28,636 --> 00:10:32,072 and cook up a story about a five star restaurant 207 00:10:32,073 --> 00:10:33,874 and a six course meal, 208 00:10:33,875 --> 00:10:37,645 a special occasion and expensive champagne. 209 00:10:37,646 --> 00:10:42,249 If she hesitates at any point, her lie will be discovered. 210 00:10:42,250 --> 00:10:46,919 She needs good pathways so she can race from topic to topic, 211 00:10:46,920 --> 00:10:49,557 grabbing the information she needs. 212 00:10:54,628 --> 00:10:57,563 Since lying requires a lot more information gathering 213 00:10:57,564 --> 00:10:59,031 than telling the truth, 214 00:10:59,032 --> 00:11:02,102 Yaling and her colleagues conjectured that the brains 215 00:11:02,103 --> 00:11:07,140 of pathological liars might have more white matter pathways. 216 00:11:07,141 --> 00:11:10,478 Brain scans proved them right. 217 00:11:13,981 --> 00:11:19,019 Liars have about 25% increase in white matter 218 00:11:19,020 --> 00:11:22,222 compared to healthy individuals. 219 00:11:22,223 --> 00:11:26,492 So having more white matter allows all this information 220 00:11:26,493 --> 00:11:33,132 to be retrieved and be used in a much faster way. 221 00:11:33,133 --> 00:11:36,069 Freeman: Yaling also found that pathological liars 222 00:11:36,070 --> 00:11:40,940 have 14% less gray matter than average people. 223 00:11:40,941 --> 00:11:43,810 Gray matter stores our memories, 224 00:11:43,811 --> 00:11:46,712 but it also has another function... 225 00:11:46,713 --> 00:11:50,451 It controls our reckless impulses. 226 00:11:50,452 --> 00:11:53,020 Yang: Gray matter plays a very important role 227 00:11:53,021 --> 00:11:55,356 in impulse control. 228 00:11:55,357 --> 00:11:58,826 So this kind of reduction in gray matter 229 00:11:58,827 --> 00:12:02,594 is likely to contribute to the lack of impulse control 230 00:12:02,595 --> 00:12:05,732 in pathological liars. 231 00:12:05,733 --> 00:12:09,068 Freeman: Pathological liars can easily ruin their own lives, 232 00:12:09,069 --> 00:12:10,971 as well as others'. 233 00:12:10,972 --> 00:12:14,509 Perhaps now that we know more about what makes them lie, 234 00:12:14,510 --> 00:12:18,111 we can develop therapies to help them stop. 235 00:12:18,112 --> 00:12:19,813 Yang: Without that information, 236 00:12:19,814 --> 00:12:23,382 it will be very difficult to develop any kind 237 00:12:23,383 --> 00:12:29,655 of intervention or treatment for this very damaging behavior. 238 00:12:29,656 --> 00:12:30,890 Freeman: But isn't technology 239 00:12:30,891 --> 00:12:34,428 making it easier for us to deceive one another? 240 00:12:34,429 --> 00:12:36,764 Is there a way to tell what's true 241 00:12:36,765 --> 00:12:40,634 and what's not online? 242 00:12:40,635 --> 00:12:45,373 This information scientist has developed a way to find out. 243 00:12:49,000 --> 00:12:53,537 Our modern devices appear to make lying easier than ever. 244 00:12:53,538 --> 00:12:58,642 After all, no one can see us behind a screen. 245 00:12:58,643 --> 00:13:03,314 Today's technology has ushered in a new breed of lie. 246 00:13:03,315 --> 00:13:08,453 It's called digital deception. 247 00:13:08,454 --> 00:13:14,060 Is the information age really the disinformation age? 248 00:13:15,226 --> 00:13:17,061 [ Keypad clicking ] 249 00:13:17,062 --> 00:13:21,099 Information scientist Jeff Hancock at Cornell university 250 00:13:21,100 --> 00:13:24,701 is examining the differences between high tech lies 251 00:13:24,702 --> 00:13:27,805 and the old standbys. 252 00:13:27,806 --> 00:13:30,608 If I wanted to call in sick, in the old days, 253 00:13:30,609 --> 00:13:33,710 I'd need to psych myself up and get my sick voice on. 254 00:13:33,711 --> 00:13:36,214 [ Telephone rings ] 255 00:13:36,215 --> 00:13:37,516 Yeah, hi. [ Coughs ] 256 00:13:37,517 --> 00:13:39,017 I'm really sorry. [ Coughs ] 257 00:13:39,018 --> 00:13:42,118 I'm... I'm too sick to come in today. 258 00:13:42,119 --> 00:13:45,723 Yeah. [ Coughs ] 259 00:13:45,724 --> 00:13:49,094 Nowadays, we can type a message about feeling sick, 260 00:13:49,095 --> 00:13:52,998 no voice, no vocal cues, no nonverbal cues. 261 00:13:52,999 --> 00:13:57,301 Hit send, and my lie's done. 262 00:13:57,302 --> 00:14:00,271 Freeman: Some digital deceptions have become so common 263 00:14:00,272 --> 00:14:03,273 that Jeff and his team gave them names. 264 00:14:03,274 --> 00:14:04,975 Hancock: One of the things we saw on text messages 265 00:14:04,976 --> 00:14:06,911 all the time was a lie we call the Butler lie. 266 00:14:06,912 --> 00:14:08,947 [ Doorbell rings ] 267 00:14:11,582 --> 00:14:15,253 We used to have people that would act as that buffer, 268 00:14:15,254 --> 00:14:17,589 and they would provide that physical buffer 269 00:14:17,590 --> 00:14:22,727 between you and the world trying to get in and talk to you. 270 00:14:22,728 --> 00:14:24,628 [ Cellphone chimes ] 271 00:14:24,629 --> 00:14:27,732 Freeman: Now we all have digital butlers. 272 00:14:27,733 --> 00:14:30,002 Hancock: People say, "well, I'm on my way," when, in fact, 273 00:14:30,003 --> 00:14:33,470 they're not, or, "my battery was dead," because what we realized 274 00:14:33,471 --> 00:14:36,940 is they're providing a buffer between that person 275 00:14:36,941 --> 00:14:41,711 and the fact that the world can contact them pretty much 24/7. 276 00:14:41,712 --> 00:14:44,014 Freeman: Even though it makes us easier to reach, 277 00:14:44,015 --> 00:14:48,353 the online world also offers unprecedented anonymity. 278 00:14:48,354 --> 00:14:52,357 A new identity is just a few keystrokes away. 279 00:14:52,358 --> 00:14:54,593 This leads to a digital deception 280 00:14:54,594 --> 00:14:57,262 known as the sock puppet lie. 281 00:14:57,263 --> 00:14:59,699 Hancock: Sock puppet is identity deception, 282 00:14:59,700 --> 00:15:01,364 where you have an alter ego 283 00:15:01,365 --> 00:15:02,868 that can say things on your behalf 284 00:15:02,869 --> 00:15:04,637 without appearing like you. 285 00:15:06,839 --> 00:15:08,707 You're not Jeff Hancock, are you? 286 00:15:08,708 --> 00:15:10,041 No. Not me. 287 00:15:10,042 --> 00:15:11,743 Perfect, because I've got this new book coming out, 288 00:15:11,744 --> 00:15:13,578 and I really need a positive review. 289 00:15:13,579 --> 00:15:15,447 Could you help me out? 290 00:15:15,448 --> 00:15:17,147 Yeah. Great, thanks. 291 00:15:17,148 --> 00:15:19,484 Freeman: It's no wonder we have a hard time 292 00:15:19,485 --> 00:15:23,454 deciding what to believe of all that we read online. 293 00:15:23,455 --> 00:15:26,423 Is it possible to sort truth from lie? 294 00:15:26,424 --> 00:15:29,259 That's what Jeff decided to find out. 295 00:15:29,260 --> 00:15:30,961 He started by looking at something 296 00:15:30,962 --> 00:15:32,763 we've all wondered about... 297 00:15:32,764 --> 00:15:36,935 Those consumer reviews we see when we shop online. 298 00:15:36,936 --> 00:15:41,004 Who writes those, and can we trust them? 299 00:15:41,005 --> 00:15:43,508 The stakes are huge. 300 00:15:43,509 --> 00:15:47,177 Together, we spend trillions of dollars worldwide 301 00:15:47,178 --> 00:15:52,182 on online sales every year. 302 00:15:52,183 --> 00:15:57,421 Jeff examined the hotel reviews we use to plan our vacations. 303 00:15:57,422 --> 00:16:01,692 Should we really be relying on the opinions of strangers? 304 00:16:01,693 --> 00:16:03,661 We had people write fake reviews for us, 305 00:16:03,662 --> 00:16:04,796 and we paid for them. 306 00:16:04,797 --> 00:16:06,098 We knew they were fake. 307 00:16:06,099 --> 00:16:08,233 We compared them to ones that were real. 308 00:16:08,234 --> 00:16:09,767 So we took them from the verified sites, 309 00:16:09,768 --> 00:16:13,171 and we looked at linguistic patterns and how they differed. 310 00:16:13,172 --> 00:16:15,006 Freeman: If he'd actually been there, 311 00:16:15,007 --> 00:16:18,343 Jeff would write about the hotel in a certain way. 312 00:16:18,344 --> 00:16:20,978 He would know about every detail of the room. 313 00:16:20,979 --> 00:16:23,549 Hancock: A real reviewer will have a sense 314 00:16:23,550 --> 00:16:25,583 of what the beds are like and the bathroom. 315 00:16:25,584 --> 00:16:28,017 Is it clean, is the shower small or not? 316 00:16:28,018 --> 00:16:31,522 That sort of thing, since they've experienced the space, 317 00:16:31,523 --> 00:16:33,425 their bodies moved through it. 318 00:16:33,426 --> 00:16:36,960 Freeman: But if Jeff had never been to the hotel... 319 00:16:36,961 --> 00:16:39,696 He wouldn't know if there was mold in the shower 320 00:16:39,697 --> 00:16:42,734 or if the Internet service was slow. 321 00:16:42,735 --> 00:16:45,269 So he'd have to write about something else, 322 00:16:45,270 --> 00:16:47,739 something made up. 323 00:16:47,740 --> 00:16:51,108 Hancock: Now, me writing a fake review here in my home with my computer 324 00:16:51,109 --> 00:16:53,009 is completely different. 325 00:16:53,010 --> 00:16:54,812 When a fake reviewer has to write about something, 326 00:16:54,813 --> 00:16:56,480 they're going into storytelling. 327 00:16:56,481 --> 00:16:58,548 We were on business. 328 00:16:58,549 --> 00:17:01,453 So they'll tell stories about who they were with, 329 00:17:01,454 --> 00:17:02,787 what they were supposed to be doing. 330 00:17:02,788 --> 00:17:04,721 They're trying to convince people. 331 00:17:04,722 --> 00:17:06,958 Freeman: Jeff and his team compared the fake reviews 332 00:17:06,959 --> 00:17:10,894 they had paid for with the verified truthful ones. 333 00:17:10,895 --> 00:17:13,931 Then, they developed a truth or lie algorithm 334 00:17:13,932 --> 00:17:18,435 that zeroes in on telltale words and phrases. 335 00:17:18,436 --> 00:17:20,604 Hancock: See here that ones that are true 336 00:17:20,605 --> 00:17:23,473 are things like, "rooms were large," 337 00:17:23,474 --> 00:17:27,044 and, "they were more expensive," whereas, 338 00:17:27,045 --> 00:17:28,546 over on the deceptive one, 339 00:17:28,547 --> 00:17:30,713 we can see people talking about themselves. 340 00:17:30,714 --> 00:17:32,083 "I had a reservation." 341 00:17:32,084 --> 00:17:33,851 Lot of instances of "i." 342 00:17:33,852 --> 00:17:35,454 Freeman: Jeff has developed 343 00:17:35,455 --> 00:17:39,123 keyword algorithms for other products and services 344 00:17:39,124 --> 00:17:42,727 and discovered some surprising results. 345 00:17:42,728 --> 00:17:45,028 People tend to think most reviews are fake, 346 00:17:45,029 --> 00:17:47,164 and our estimation is that it's much lower than that. 347 00:17:47,165 --> 00:17:50,101 Like, maybe 5% to 10% are fake. 348 00:17:50,102 --> 00:17:53,871 Freeman: So online reviews are pretty reliable. 349 00:17:53,872 --> 00:17:57,042 What about digital communications in general? 350 00:17:57,043 --> 00:18:00,077 Do we use our gadgets to lie more or less 351 00:18:00,078 --> 00:18:03,114 than in old fashioned face to face talks? 352 00:18:03,115 --> 00:18:04,515 Things like e mail, 353 00:18:04,516 --> 00:18:07,485 there's actually a lot less lying than people expect. 354 00:18:07,486 --> 00:18:10,121 The main reason, I think, is that there's a record. 355 00:18:10,122 --> 00:18:14,459 We evolved to talk and have it disappear, 356 00:18:14,460 --> 00:18:17,694 and now we're in a radically new era. 357 00:18:17,695 --> 00:18:19,130 If I write you an e mail, 358 00:18:19,131 --> 00:18:21,364 not only have I created a record for myself, 359 00:18:21,365 --> 00:18:23,433 I've given you a record. 360 00:18:23,434 --> 00:18:25,102 That record can be copied. 361 00:18:25,103 --> 00:18:27,304 It can be searched. It can be shared. 362 00:18:27,305 --> 00:18:30,042 And so telling a lie in a digital format 363 00:18:30,043 --> 00:18:34,045 comes with substantial risks that we've never, 364 00:18:34,046 --> 00:18:38,315 as a set of communicators, ever had to worry about before. 365 00:18:38,316 --> 00:18:41,251 Freeman: Jeff found a little more lying in texting, 366 00:18:41,252 --> 00:18:44,921 which we use for more informal communication than e mail. 367 00:18:44,922 --> 00:18:48,325 And as soon as the written words disappear, 368 00:18:48,326 --> 00:18:51,162 more lies reappear. 369 00:18:51,163 --> 00:18:53,331 What we find is that it's the phone 370 00:18:53,332 --> 00:18:54,898 where people lie a lot. 371 00:18:54,899 --> 00:18:56,267 That's... every study, 372 00:18:56,268 --> 00:18:59,103 it's always on the phone where you see the most lies. 373 00:18:59,104 --> 00:19:00,938 Freeman: According to Jeff, 374 00:19:00,939 --> 00:19:04,675 we lie the most when we ditch our gadgets altogether 375 00:19:04,676 --> 00:19:07,444 and talk to each other face to face. 376 00:19:07,445 --> 00:19:08,845 Why? 377 00:19:08,846 --> 00:19:14,152 Perhaps because we are really bad at spotting lies. 378 00:19:14,153 --> 00:19:18,958 But a new device may help us catch a liar every time. 379 00:19:21,000 --> 00:19:23,568 Think you can spot a liar? 380 00:19:23,569 --> 00:19:26,372 Oh, you may look for certain tells, 381 00:19:26,373 --> 00:19:32,879 facial expression, unusual tone of voice, awkward body language. 382 00:19:32,880 --> 00:19:35,716 But let's not kid ourselves, folks. 383 00:19:35,717 --> 00:19:39,686 It can be hard to tell if someone is lying. 384 00:19:39,687 --> 00:19:43,256 Could technology restore truth to the expression, 385 00:19:43,257 --> 00:19:46,161 "the eyes are the window to the soul"? 386 00:19:51,364 --> 00:19:54,933 This university of Utah student is looking to swipe some money 387 00:19:54,934 --> 00:19:58,138 from a campus office. 388 00:19:58,139 --> 00:20:01,307 And he just found his chance. 389 00:20:01,308 --> 00:20:03,375 He's not worried about throwing away his future 390 00:20:03,376 --> 00:20:05,245 for a measly 20 bucks... 391 00:20:07,047 --> 00:20:10,616 ...because it's all part of a "mission: Impossible" experiment 392 00:20:10,617 --> 00:20:15,189 dreamed up by psychophysiologist John Kircher. 393 00:20:15,190 --> 00:20:19,226 John has spent the last 30 years studying lies, 394 00:20:19,227 --> 00:20:22,594 and this experiment is designed to test a device 395 00:20:22,595 --> 00:20:26,900 that may one day make lying impossible. 396 00:20:26,901 --> 00:20:30,303 Today, there are two test subjects. 397 00:20:30,304 --> 00:20:32,038 John doesn't know if one, 398 00:20:32,039 --> 00:20:36,543 both, or neither of them will steal any money. 399 00:20:36,544 --> 00:20:40,012 The subject receives secret agent style instructions, 400 00:20:40,013 --> 00:20:41,613 a mysterious envelope, 401 00:20:41,614 --> 00:20:45,285 and directions from a computerized voice. 402 00:20:45,286 --> 00:20:48,654 You are an innocent participant in this experiment. 403 00:20:48,655 --> 00:20:51,524 Please wait outside the building for 20 minutes 404 00:20:51,525 --> 00:20:55,260 before returning to the lab. 405 00:20:55,261 --> 00:21:00,766 The other student receives a diabolical assignment. 406 00:21:00,767 --> 00:21:03,736 You must steal $20 from the purse. 407 00:21:03,737 --> 00:21:06,006 You must have an alibi prepared. 408 00:21:06,007 --> 00:21:09,574 You will not receive full credit if you are caught. 409 00:21:09,575 --> 00:21:13,947 They get instructions to go to a different building, 410 00:21:13,948 --> 00:21:16,349 to go to a secretary's office 411 00:21:16,350 --> 00:21:19,952 and ask her where Dr. Mitchell's office is, 412 00:21:19,953 --> 00:21:23,622 and she'll reply that there's no Dr. Mitchell 413 00:21:23,623 --> 00:21:27,693 or that they should check with the Dean's office. 414 00:21:27,694 --> 00:21:30,563 Freeman: The secretary is in on the caper. 415 00:21:30,564 --> 00:21:33,466 She's been instructed to leave her office unattended 416 00:21:33,467 --> 00:21:34,535 for a few minutes 417 00:21:34,536 --> 00:21:38,872 after the student asks for Dr. Mitchell. 418 00:21:38,873 --> 00:21:41,474 Kircher: We tried to set this up like a "mission: Impossible" 419 00:21:41,475 --> 00:21:44,544 scenario to get the subject engaged 420 00:21:44,545 --> 00:21:47,747 and apprehensive about what they're doing. 421 00:21:47,748 --> 00:21:51,418 Those effects reproduce the kinds of things that we see 422 00:21:51,419 --> 00:21:56,055 in field situations with actual criminal suspects. 423 00:21:56,056 --> 00:21:58,491 Take a seat right over here. 424 00:21:58,492 --> 00:22:01,827 Freeman: Now for the moment of truth or lies. 425 00:22:01,828 --> 00:22:05,798 The ocular deception test begins. 426 00:22:05,799 --> 00:22:07,167 The subjects answer 427 00:22:07,168 --> 00:22:10,602 identical true or false questions about general topics 428 00:22:10,603 --> 00:22:13,539 and about the crime. 429 00:22:13,540 --> 00:22:16,776 Below the screen is John's device... 430 00:22:16,777 --> 00:22:21,179 An infrared eye tracker able to spot microscopic dilations 431 00:22:21,180 --> 00:22:24,284 and contractions of the pupils. 432 00:22:24,285 --> 00:22:28,420 The changes that we're seeing in the size of the pupil 433 00:22:28,421 --> 00:22:29,689 are very tiny. 434 00:22:29,690 --> 00:22:32,491 They're less than 1/10 of a millimeter, 435 00:22:32,492 --> 00:22:36,897 but with a computer, we can get a clear indication 436 00:22:36,898 --> 00:22:40,201 that the pupil is dilating when a person is deceptive. 437 00:22:45,838 --> 00:22:48,941 The subject looks like they didn't have a difficult time 438 00:22:48,942 --> 00:22:50,243 answering these questions, 439 00:22:50,244 --> 00:22:51,744 and the pupil data 440 00:22:51,745 --> 00:22:56,181 look like we would expect from a truthful individual. 441 00:22:56,182 --> 00:22:58,083 Freeman: Did the thief's pupils dilate 442 00:22:58,084 --> 00:23:00,755 when answering the same questions? 443 00:23:05,058 --> 00:23:07,360 Kircher: They're showing stronger reactions 444 00:23:07,361 --> 00:23:09,762 to the questions about the $20, 445 00:23:09,763 --> 00:23:13,401 so I'd say there's a good chance the subject's in a guilty group. 446 00:23:19,407 --> 00:23:22,108 Freeman: Sure enough, John is right. 447 00:23:22,109 --> 00:23:24,078 The female subject was innocent 448 00:23:24,079 --> 00:23:27,047 and the male subject had to give back the 20 bucks. 449 00:23:28,582 --> 00:23:34,253 But how did pupil dilation help John catch the thief? 450 00:23:34,254 --> 00:23:36,156 John knows that when our brains 451 00:23:36,157 --> 00:23:38,525 go into overdrive with mental effort, 452 00:23:38,526 --> 00:23:41,361 our pupils dilate involuntarily. 453 00:23:41,362 --> 00:23:43,196 And since deception 454 00:23:43,197 --> 00:23:45,898 is more complicated than telling the truth, 455 00:23:45,899 --> 00:23:49,102 the male student's brain had to work harder. 456 00:23:49,103 --> 00:23:52,738 He couldn't hide his lying eyes. 457 00:23:52,739 --> 00:23:57,977 John's ocular deception device is already 85% accurate. 458 00:23:57,978 --> 00:24:01,013 That's as good as the best polygraph results. 459 00:24:01,014 --> 00:24:04,885 But while people can be trained to beat polygraph tests, 460 00:24:04,886 --> 00:24:08,354 pupil dilation is involuntary. 461 00:24:08,355 --> 00:24:10,789 And as technology improves, 462 00:24:10,790 --> 00:24:14,393 the accuracy of John's lie detector will, too. 463 00:24:14,394 --> 00:24:16,629 Kircher: With better eye tracking technology, 464 00:24:16,630 --> 00:24:20,401 we'll get better measures of pupil change. 465 00:24:22,669 --> 00:24:25,103 Freeman: That means the accuracy of John's device 466 00:24:25,104 --> 00:24:28,675 could one day reach 100%. 467 00:24:28,676 --> 00:24:31,677 Imagine a future where a person with a cellphone 468 00:24:31,678 --> 00:24:35,281 or smart eyewear could use a miniaturized version 469 00:24:35,282 --> 00:24:38,785 of John's device on anyone they're talking to... 470 00:24:38,786 --> 00:24:42,488 Husband and wife, parent and child, 471 00:24:42,489 --> 00:24:44,524 worker and boss. 472 00:24:44,525 --> 00:24:46,659 Would the whole truth and nothing but the truth 473 00:24:46,660 --> 00:24:51,564 bring us closer together or tear us apart? 474 00:24:51,565 --> 00:24:53,999 According to this cognitive scientist, 475 00:24:54,000 --> 00:24:56,335 knowing the real truth about the world around us 476 00:24:56,336 --> 00:24:59,139 would simply blow our minds. 477 00:24:59,140 --> 00:25:04,075 What we think of as reality is just a series of illusions. 478 00:25:04,076 --> 00:25:08,281 Why are our brains and senses so easily fooled? 479 00:25:08,282 --> 00:25:09,449 Wow. 480 00:25:12,000 --> 00:25:15,368 We rely on our senses to make sense of our world. 481 00:25:15,369 --> 00:25:18,538 That's why it's so unsettling when they fail us. 482 00:25:18,539 --> 00:25:22,375 We can't trust our ability to see the truth. 483 00:25:22,376 --> 00:25:24,310 And even if we could... 484 00:25:24,311 --> 00:25:25,979 [ Telephone rings ] 485 00:25:25,980 --> 00:25:27,847 ...could we handle it? 486 00:25:27,848 --> 00:25:30,151 Hello? 487 00:25:30,152 --> 00:25:33,320 Hello? 488 00:25:33,321 --> 00:25:35,055 Hello? 489 00:25:35,056 --> 00:25:39,559 I'm Don Hoffman... As far as I can tell. 490 00:25:39,560 --> 00:25:42,997 Freeman: UC Irvine cognitive scientist Don Hoffman 491 00:25:42,998 --> 00:25:45,965 thinks that anyone who believes our senses 492 00:25:45,966 --> 00:25:50,304 are designed to show what's the truth has got it all wrong. 493 00:25:50,305 --> 00:25:52,606 He enjoys proving his point 494 00:25:52,607 --> 00:25:56,375 by finding new ways to fool the senses. 495 00:25:56,376 --> 00:25:58,511 I'm about to eat this very tart lemon, 496 00:25:58,512 --> 00:26:00,948 which normally doesn't sound like a good idea, 497 00:26:00,949 --> 00:26:05,952 but before I do, I'm going to first eat this miracle berry 498 00:26:05,953 --> 00:26:07,955 from west Africa. 499 00:26:10,024 --> 00:26:12,626 It releases something called miraculin, 500 00:26:12,627 --> 00:26:15,761 a chemical that binds to the sweet receptors on my tongue. 501 00:26:15,762 --> 00:26:19,366 And what it's supposed to do is, when the acid from the lemon 502 00:26:19,367 --> 00:26:22,603 binds to the miraculin, it triggers my sweet receptors 503 00:26:22,604 --> 00:26:24,904 to give me an illusion of a sweet taste. 504 00:26:24,905 --> 00:26:26,573 Let's see it really works. 505 00:26:26,574 --> 00:26:30,645 So I'll take the berry out, and we'll cut this lemon. 506 00:26:34,115 --> 00:26:36,117 And the moment of truth. 507 00:26:38,986 --> 00:26:40,921 Wow. 508 00:26:40,922 --> 00:26:42,722 That does taste sweet. 509 00:26:42,723 --> 00:26:44,391 I've never tasted a lemon like that before. 510 00:26:44,392 --> 00:26:46,161 That is really good. [ Chuckles ] 511 00:26:49,597 --> 00:26:51,932 Freeman: don has identified plenty of ways our senses 512 00:26:51,933 --> 00:26:56,037 and brains misconstrue the world around us. 513 00:26:56,038 --> 00:27:01,375 Surely, we think, our sense of touch could never be wrong. 514 00:27:01,376 --> 00:27:05,145 With touch, we feel like we're in direct contact with reality 515 00:27:05,146 --> 00:27:06,512 as it really is. 516 00:27:06,513 --> 00:27:11,183 Well, if you tap the shoulder and then tap the elbow 517 00:27:11,184 --> 00:27:13,386 and then tap the wrist and you do the timing just right, 518 00:27:13,387 --> 00:27:15,455 what a person will feel is tapping between. 519 00:27:15,456 --> 00:27:18,693 So you feel a tap here and a tap here, tap there, a tap there. 520 00:27:18,694 --> 00:27:22,362 And it'll feel like there's some animal running down your arm. 521 00:27:22,363 --> 00:27:25,166 The brain is saying, "what is the best story 522 00:27:25,167 --> 00:27:27,000 about the world that I could come up with?" 523 00:27:27,001 --> 00:27:28,969 And the best story that it comes up with is, "well, 524 00:27:28,970 --> 00:27:31,838 there's probably something crawling down my arm." 525 00:27:31,839 --> 00:27:33,539 Freeman: With such limited senses, 526 00:27:33,540 --> 00:27:35,508 the unfiltered truth of the world 527 00:27:35,509 --> 00:27:39,846 never reaches our brains, so we're forced to use stories 528 00:27:39,847 --> 00:27:44,416 or preconceived rules about how reality should be. 529 00:27:44,417 --> 00:27:47,687 But once you're constructing reality based on rules, 530 00:27:47,688 --> 00:27:50,458 if something doesn't match your assumptions, 531 00:27:50,459 --> 00:27:53,427 we construct things that aren't really there. 532 00:27:53,428 --> 00:27:57,964 Freeman: Each of our eyes can only take in a 2 d image. 533 00:27:57,965 --> 00:28:02,336 It's our brains that create a 3 d view of the world. 534 00:28:02,337 --> 00:28:04,037 There's gradients and shading, 535 00:28:04,038 --> 00:28:07,473 so as you go from light to dark and dark to light, 536 00:28:07,474 --> 00:28:09,375 the visual system automatically interprets that 537 00:28:09,376 --> 00:28:12,045 in terms of three dimensional shapes. 538 00:28:12,046 --> 00:28:13,782 As you see things like railroad tracks 539 00:28:13,783 --> 00:28:15,115 converging in the distance, 540 00:28:15,116 --> 00:28:17,953 you'll actually give a depth interpretation to that. 541 00:28:18,752 --> 00:28:20,654 Ah! 542 00:28:20,655 --> 00:28:23,856 Freeman: don's radical conclusion is that our senses 543 00:28:23,857 --> 00:28:26,227 aren't intended to see the truth of reality. 544 00:28:26,228 --> 00:28:31,530 Our senses do just enough to help us find mates, find food, 545 00:28:31,531 --> 00:28:35,568 and avoid becoming someone else's food. 546 00:28:35,569 --> 00:28:37,136 Hoffman: It's the perceptual systems 547 00:28:37,137 --> 00:28:40,673 that allow you to stay alive long enough to reproduce. 548 00:28:40,674 --> 00:28:42,710 Those are the ones whose genes get passed on 549 00:28:42,711 --> 00:28:43,777 to the next generation. 550 00:28:43,778 --> 00:28:45,947 So, in that sense, it's quite clear. 551 00:28:45,948 --> 00:28:47,914 Perception and evolution of perception 552 00:28:47,915 --> 00:28:51,818 is about having kids, not about the truth. 553 00:28:51,819 --> 00:28:54,587 Freeman: Every creature on earth develops only the senses 554 00:28:54,588 --> 00:28:58,625 it needs to survive and reproduce. 555 00:28:58,626 --> 00:29:01,228 This region used to be a much bigger wetland 556 00:29:01,229 --> 00:29:03,763 with millions of frogs. 557 00:29:03,764 --> 00:29:07,334 Freeman: This is how researchers believe the world looks to a frog. 558 00:29:07,335 --> 00:29:08,702 If things aren't moving, 559 00:29:08,703 --> 00:29:10,637 the frog pretty much either doesn't see them 560 00:29:10,638 --> 00:29:13,272 or is programmed to ignore them. 561 00:29:13,273 --> 00:29:17,210 Freeman: Luckily for the frog, it's great at detecting small objects 562 00:29:17,211 --> 00:29:19,246 flying around close enough to its tongue 563 00:29:19,247 --> 00:29:21,749 to become a tasty meal. 564 00:29:21,750 --> 00:29:27,121 We can see stationary objects that a frog can't, 565 00:29:27,122 --> 00:29:31,691 but we don't see all the colors that a butterfly does, 566 00:29:31,692 --> 00:29:35,228 and we can't hear every frequency of sound 567 00:29:35,229 --> 00:29:37,731 that a bat can, 568 00:29:37,732 --> 00:29:43,337 which begs the question, what is the world really like? 569 00:29:43,338 --> 00:29:45,706 What are we not seeing? 570 00:29:48,309 --> 00:29:51,144 Imagine a color you've never experienced before. 571 00:29:51,145 --> 00:29:52,345 Nothing happens. 572 00:29:52,346 --> 00:29:53,712 If we can't even do that, 573 00:29:53,713 --> 00:29:56,282 just one new color that you've never experienced before, 574 00:29:56,283 --> 00:29:57,750 we're really in the dark 575 00:29:57,751 --> 00:30:03,190 about what the full complexity of objective reality might be. 576 00:30:03,191 --> 00:30:08,561 So our senses are this wonderful window on the world, 577 00:30:08,562 --> 00:30:12,266 but they're also a prison that we really can't see outside of. 578 00:30:14,836 --> 00:30:18,838 We can't necessarily trust our senses, 579 00:30:18,839 --> 00:30:23,876 but even if we only grasp a simplified version of reality, 580 00:30:23,877 --> 00:30:25,479 surely, our memories 581 00:30:25,480 --> 00:30:30,150 can keep track of where and when things happen. 582 00:30:30,151 --> 00:30:34,186 Or that's what we thought. 583 00:30:34,187 --> 00:30:36,256 New research suggests 584 00:30:36,257 --> 00:30:41,530 that our brains trick us into misremembering the truth. 585 00:30:52,000 --> 00:30:54,367 We can't possibly remember every single thing 586 00:30:54,368 --> 00:30:56,203 that happens to us, 587 00:30:56,204 --> 00:30:59,239 but we trust the memories we do retain. 588 00:30:59,240 --> 00:31:02,909 We remember every detail about the birth of a child. 589 00:31:02,910 --> 00:31:08,014 We know where we had a special meal and whom we were with. 590 00:31:08,015 --> 00:31:12,251 But what if some of those memories aren't real? 591 00:31:12,252 --> 00:31:15,021 What if we invented them? 592 00:31:15,022 --> 00:31:20,061 Or... Someone else implanted them? 593 00:31:23,197 --> 00:31:26,631 This is Susumu Tonegawa's favorite spot 594 00:31:26,632 --> 00:31:29,469 to enjoy a cup of coffee. 595 00:31:29,470 --> 00:31:33,373 And sitting here also reminds the M.I.T. scientist of the time 596 00:31:33,374 --> 00:31:37,011 two cars slammed into each other just a few feet away. 597 00:31:41,048 --> 00:31:44,184 He mentions the accident to his friend, 598 00:31:44,185 --> 00:31:48,053 but his friend remembers it differently. 599 00:31:48,054 --> 00:31:49,821 I had an argument with my friend, 600 00:31:49,822 --> 00:31:51,190 that he said, "no, no, no. 601 00:31:51,191 --> 00:31:53,728 Actually, car accident happened in front of our lab." 602 00:31:53,729 --> 00:31:55,762 [ Crash ] 603 00:31:59,832 --> 00:32:03,770 Freeman: Susumu thought, "no, that can't be right." 604 00:32:03,771 --> 00:32:09,541 But I insisted accident happened in front of coffee shop. 605 00:32:09,542 --> 00:32:13,646 Freeman: And then, he realized his mistake. 606 00:32:13,647 --> 00:32:15,883 I was thinking of the conversation 607 00:32:15,884 --> 00:32:19,319 I was having with my friend, drinking a coffee, 608 00:32:19,320 --> 00:32:22,356 when actually, car accident happened in front of our lab. 609 00:32:22,357 --> 00:32:23,588 [ Crash ] 610 00:32:23,589 --> 00:32:26,059 Freeman: He and his friend were in front of the lab 611 00:32:26,060 --> 00:32:27,961 when the cars collided, 612 00:32:27,962 --> 00:32:31,164 but his mind was on one of their previous conversations 613 00:32:31,165 --> 00:32:32,765 at the coffee shop. 614 00:32:32,766 --> 00:32:36,836 Susumu's brain mistakenly combined the two locations 615 00:32:36,837 --> 00:32:42,175 and created a new memory that is actually false. 616 00:32:42,176 --> 00:32:44,277 As a Nobel laureate and a scientist 617 00:32:44,278 --> 00:32:47,448 who's devoted three decades to understanding memory, 618 00:32:47,449 --> 00:32:52,217 Susumu wanted to know how this could happen. 619 00:32:52,218 --> 00:32:55,021 He and his team decided to look for physical evidence 620 00:32:55,022 --> 00:32:58,424 of false memories being formed. 621 00:32:58,425 --> 00:33:03,429 In the brain, the area called the hippocampus 622 00:33:03,430 --> 00:33:07,733 plays a very crucial role in these types of memory. 623 00:33:07,734 --> 00:33:11,337 If you have impairment in the hippocampus, 624 00:33:11,338 --> 00:33:18,078 then you cannot form memory of episode very well. 625 00:33:18,079 --> 00:33:20,914 Freeman: Susumu's research centers on the physical changes 626 00:33:20,915 --> 00:33:24,618 in the hippocampus when an episodic memory forms. 627 00:33:27,253 --> 00:33:31,089 When we experience something, like witnessing a car accident, 628 00:33:31,090 --> 00:33:34,159 it biochemically changes a small group of neurons 629 00:33:34,160 --> 00:33:36,361 in the hippocampus. 630 00:33:36,362 --> 00:33:40,733 Neuroscientists call that changed group an engram. 631 00:33:40,734 --> 00:33:45,571 It is a physical trace of the stored memory. 632 00:33:45,572 --> 00:33:49,009 That stored memory is sometimes triggered when we see something 633 00:33:49,010 --> 00:33:51,845 that's new but similar. 634 00:33:51,846 --> 00:33:56,049 A lone, majestic pine tree may remind us of our first glimpse 635 00:33:56,050 --> 00:34:00,419 of the Eiffel Tower during a vacation years ago. 636 00:34:00,420 --> 00:34:02,621 Susumu found that when old memories 637 00:34:02,622 --> 00:34:05,458 are activated by new experiences, 638 00:34:05,459 --> 00:34:08,360 both can become confused. 639 00:34:08,361 --> 00:34:11,130 Sometimes, the neurons of the old memory engram 640 00:34:11,131 --> 00:34:15,034 become physically linked to the recently formed engram. 641 00:34:15,035 --> 00:34:17,070 The result is a false memory 642 00:34:17,071 --> 00:34:22,607 that mistakenly combines two events. 643 00:34:22,608 --> 00:34:25,378 That got Susumu and his colleagues wondering, 644 00:34:25,379 --> 00:34:30,516 is it possible to intentionally create false memories? 645 00:34:30,517 --> 00:34:35,423 They devised an experiment with a mouse and two chambers. 646 00:34:50,271 --> 00:34:53,739 Freeman: The mouse forms separate memories for each location. 647 00:34:53,740 --> 00:34:56,275 For example, chamber b has a wire floor, 648 00:34:56,276 --> 00:34:58,411 and chamber a does not. 649 00:34:58,412 --> 00:35:01,380 Susumu then sets about locating each memory 650 00:35:01,381 --> 00:35:03,216 in the mouse's brain. 651 00:35:05,419 --> 00:35:07,420 The mouse has a series 652 00:35:07,421 --> 00:35:11,757 of tiny wires monitoring activity in its brain. 653 00:35:11,758 --> 00:35:14,259 When he places the mouse in chamber a, 654 00:35:14,260 --> 00:35:18,498 Susumu can pinpoint the location of the chamber a memory. 655 00:35:18,499 --> 00:35:21,099 But the wires can also stimulate neurons 656 00:35:21,100 --> 00:35:24,770 to respond by emitting small pulses of light. 657 00:35:24,771 --> 00:35:28,609 So whenever Susumu shines a light on those same neurons, 658 00:35:28,610 --> 00:35:32,779 he can activate the mouse's memory of being in chamber a. 659 00:35:32,780 --> 00:35:35,614 Once the mouse has formed a memory of chamber a, 660 00:35:35,615 --> 00:35:39,117 it's placed in the wire floored chamber b. 661 00:35:39,118 --> 00:35:42,088 Susumu is ready to create the false memory. 662 00:35:54,001 --> 00:35:58,436 The shock is harmless but startling. 663 00:35:58,437 --> 00:36:00,139 Since the chamber a memory 664 00:36:00,140 --> 00:36:04,509 is activated while the mouse receives the shock in chamber b, 665 00:36:04,510 --> 00:36:09,581 it creates an association between chamber a and the shock. 666 00:36:09,582 --> 00:36:10,815 And sure enough, 667 00:36:10,816 --> 00:36:13,719 when Susumu places the mouse back in chamber a, 668 00:36:13,720 --> 00:36:16,322 it suddenly freezes in fear. 669 00:36:16,323 --> 00:36:17,857 Even with no wire floor, 670 00:36:17,858 --> 00:36:20,659 the mouse acts like it might get a shock. 671 00:36:20,660 --> 00:36:22,695 It now possesses a false memory 672 00:36:22,696 --> 00:36:27,232 of being shocked in the chamber where no shock ever happened. 673 00:36:27,233 --> 00:36:29,002 Susumu and his colleagues 674 00:36:29,003 --> 00:36:33,271 have successfully inserted false memories into mice. 675 00:36:33,272 --> 00:36:37,576 Does this mean the same thing could be done to people? 676 00:36:37,577 --> 00:36:39,913 What is science fiction today 677 00:36:39,914 --> 00:36:43,248 may not be science fiction in 50 years. 678 00:36:43,249 --> 00:36:46,052 Human brain much bigger than mouse brain, 679 00:36:46,053 --> 00:36:50,288 but theoretically, it's possible. 680 00:36:50,289 --> 00:36:53,826 Freeman: So if we can't trust our memories, our senses, 681 00:36:53,827 --> 00:36:55,561 or each other, 682 00:36:55,562 --> 00:36:59,299 is there any such thing as an ultimate truth? 683 00:36:59,300 --> 00:37:03,402 This physicist is looking for answers in the quantum world. 684 00:37:03,403 --> 00:37:08,174 He is finding that the notion of truth keeps getting curiouser 685 00:37:08,175 --> 00:37:10,343 and curiouser. 686 00:37:13,900 --> 00:37:16,935 Truth is hard to find in the human world. 687 00:37:16,936 --> 00:37:20,406 Our brains are wired for lying. 688 00:37:20,407 --> 00:37:23,341 We remember events that never happened. 689 00:37:23,342 --> 00:37:25,544 And our senses 690 00:37:25,545 --> 00:37:29,916 don't perceive the reality of the world around us. 691 00:37:32,400 --> 00:37:35,167 But surely if we use the tools of science 692 00:37:35,168 --> 00:37:38,705 to examine the fundamental nature of reality, 693 00:37:38,706 --> 00:37:43,176 we can see the ultimate truth. 694 00:37:43,177 --> 00:37:49,850 Unless the universe itself lies to us. 695 00:37:49,851 --> 00:37:54,254 I am Jeff Tollaksen, and that's the truth. 696 00:37:54,255 --> 00:37:56,556 Freeman: Jeff Tollaksen, a physicist 697 00:37:56,557 --> 00:38:00,192 at Chapman university in Southern California, 698 00:38:00,193 --> 00:38:03,464 has taken many trips into the quantum world. 699 00:38:03,465 --> 00:38:06,766 There are a million, million, billion atoms 700 00:38:06,767 --> 00:38:09,136 in each individual grain of sand. 701 00:38:09,137 --> 00:38:10,737 But when we are talking about the quantum world, 702 00:38:10,738 --> 00:38:14,174 we mean even smaller pieces of matter that make up the atoms. 703 00:38:14,175 --> 00:38:17,076 The protons, the neutrons, and the electrons... 704 00:38:17,077 --> 00:38:19,179 They make up everything in the entire universe, 705 00:38:19,180 --> 00:38:21,748 including us. 706 00:38:21,749 --> 00:38:26,286 Freeman: Jeff knows that the basic building blocks of existence 707 00:38:26,287 --> 00:38:29,556 don't follow basic rules. 708 00:38:29,557 --> 00:38:32,292 Tollaksen: Take, for instance, the electron. 709 00:38:32,293 --> 00:38:33,893 The laws of the quantum world 710 00:38:33,894 --> 00:38:36,596 suggest that things can be at many different places 711 00:38:36,597 --> 00:38:38,031 at the same time. 712 00:38:38,032 --> 00:38:43,303 They also forbid us from knowing everything about the electron. 713 00:38:43,304 --> 00:38:45,571 It's a bit like looking at a hummingbird. 714 00:38:45,572 --> 00:38:49,143 Its wings are moving so fast that they appear as just a blur. 715 00:38:49,144 --> 00:38:51,779 But if I take a photo of the hummingbird, 716 00:38:51,780 --> 00:38:54,047 I can learn one of two things. 717 00:38:54,048 --> 00:38:56,351 If I set it to a high shutter speed... 718 00:38:59,153 --> 00:39:01,355 ...i can clearly see the location of the wings, 719 00:39:01,356 --> 00:39:03,357 but I can't tell anything about velocity. 720 00:39:03,358 --> 00:39:06,126 So now I'll set it to a low shutter speed. 721 00:39:08,695 --> 00:39:09,995 And now it's just a blur. 722 00:39:09,996 --> 00:39:12,533 I can't tell anything about the location of the wings, 723 00:39:12,534 --> 00:39:15,402 but I can clearly see that they have a velocity. 724 00:39:15,403 --> 00:39:18,073 Freeman: Similarly, we can never know the true position 725 00:39:18,074 --> 00:39:21,674 and velocity of an electron. 726 00:39:21,675 --> 00:39:24,812 So the notion of truth at the quantum level 727 00:39:24,813 --> 00:39:30,116 is very different from our usual human understanding of truth. 728 00:39:30,117 --> 00:39:32,652 Freeman: But as strange as these particles are, 729 00:39:32,653 --> 00:39:35,321 we still know they are bits of matter 730 00:39:35,322 --> 00:39:37,623 and they have certain defining properties, 731 00:39:37,624 --> 00:39:42,462 such as spin direction and electrical charge. 732 00:39:42,463 --> 00:39:47,400 Matter and its properties go together like rock and hard. 733 00:39:47,401 --> 00:39:51,205 You can't have one without the other. 734 00:39:51,206 --> 00:39:53,540 Or can you? 735 00:39:53,541 --> 00:39:55,141 The more Jeff and his colleagues 736 00:39:55,142 --> 00:39:57,879 study the building blocks of the universe, 737 00:39:57,880 --> 00:40:02,482 the curiouser and curiouser it all becomes. 738 00:40:02,483 --> 00:40:06,085 Tollaksen: If you've ever read Lewis carroll's "Alice in wonderland," 739 00:40:06,086 --> 00:40:08,654 you know that there is a cheshire cat. 740 00:40:08,655 --> 00:40:11,725 Now, the cheshire cat has a grin. 741 00:40:11,726 --> 00:40:13,160 And it's a remarkable grin. 742 00:40:13,161 --> 00:40:15,995 So you can't have the cheshire cat without the grin. 743 00:40:15,996 --> 00:40:18,464 The grin belongs to the cat. 744 00:40:18,465 --> 00:40:21,301 But one day, Alice is having a conversation with the cat, 745 00:40:21,302 --> 00:40:23,770 and suddenly, the body disappears, 746 00:40:23,771 --> 00:40:25,337 leaving just the grin. 747 00:40:25,338 --> 00:40:26,739 To which Alice said, 748 00:40:26,740 --> 00:40:29,442 "well, I've often seen a cat without a grin. 749 00:40:29,443 --> 00:40:30,743 But a grin without a cat? 750 00:40:30,744 --> 00:40:34,047 It's the most curious thing I've ever seen." 751 00:40:34,048 --> 00:40:36,484 Now, it seems physically impossible, 752 00:40:36,485 --> 00:40:39,219 even in your wildest dreams, that such a thing could happen. 753 00:40:39,220 --> 00:40:43,357 But what's remarkable is we've predicted how you could do this, 754 00:40:43,358 --> 00:40:47,326 namely separate properties from matter. 755 00:40:47,327 --> 00:40:50,062 Freeman: In July 2014, 756 00:40:50,063 --> 00:40:53,734 Jeff and colleagues at the Vienna institute of technology 757 00:40:53,735 --> 00:40:56,536 put that prediction to the test. 758 00:40:56,537 --> 00:41:01,808 Could they actually create a quantum cheshire cat? 759 00:41:01,809 --> 00:41:05,377 They split a stream of neutrons into two beams. 760 00:41:05,378 --> 00:41:08,582 Then, they used magnetic fields to give the neutrons 761 00:41:08,583 --> 00:41:11,850 in each beam opposite spin direction. 762 00:41:11,851 --> 00:41:14,855 Using other magnetic fields and filters, 763 00:41:14,856 --> 00:41:16,989 they manipulated the system 764 00:41:16,990 --> 00:41:19,393 until something very curious happened. 765 00:41:19,394 --> 00:41:23,230 The mass of the neutrons went entirely through the upper beam, 766 00:41:23,231 --> 00:41:25,466 while the neutrons' spin properties 767 00:41:25,467 --> 00:41:29,034 traveled exclusively through the lower beam. 768 00:41:29,035 --> 00:41:31,404 Like a cat and its grin, 769 00:41:31,405 --> 00:41:34,709 matter and its properties were separated. 770 00:41:36,709 --> 00:41:38,911 If it's possible to separate an object 771 00:41:38,912 --> 00:41:43,016 from the properties that we use to describe it, 772 00:41:43,017 --> 00:41:44,283 is truth itself 773 00:41:44,284 --> 00:41:47,587 just another property that can be stripped away? 774 00:41:47,588 --> 00:41:51,190 Are we closer to finding the truth about the universe, 775 00:41:51,191 --> 00:41:55,896 or closer to dismissing it as nothing more than a phantom? 776 00:41:58,365 --> 00:42:01,803 Tollaksen: Every time we peel back a little bit more of that veil, 777 00:42:01,804 --> 00:42:06,605 we discover incredibly beautiful and awe inspiring new truths. 778 00:42:06,606 --> 00:42:09,710 Whether or not scientists will ever be able to discover 779 00:42:09,711 --> 00:42:14,114 absolute truth, deep nature of everything, 780 00:42:14,115 --> 00:42:15,714 we don't know. 781 00:42:15,715 --> 00:42:19,319 But it is in the spirit of science to keep trying. 782 00:42:19,320 --> 00:42:23,255 Will we continue to peel back layer after layer 783 00:42:23,256 --> 00:42:26,192 of new truths forever? 784 00:42:26,193 --> 00:42:29,795 Could we even comprehend the truth with our limited senses 785 00:42:29,796 --> 00:42:33,366 and our faulty, selective memories? 786 00:42:33,367 --> 00:42:38,170 There's only one thing we can be sure of... 787 00:42:38,171 --> 00:42:41,742 Anyone who claims to know the ultimate truth... 788 00:42:43,843 --> 00:42:48,448 ...is probably just telling you another lie. 789 00:42:48,449 --> 00:42:48,816 [ Chuckles ] 790 00:42:48,866 --> 00:42:53,416 Repair and Synchronization by Easy Subtitles Synchronizer 1.0.0.0 63536

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