0:00:01.057,0:00:02.426 So you've heard of your IQ, 0:00:02.426,0:00:04.293 your general intelligence, 0:00:04.293,0:00:05.942 but what's your Psy-Q? 0:00:05.942,0:00:07.799 How much do you know[br]about what makes you tick, 0:00:07.799,0:00:10.214 and how good are you[br]at predicting other peoples' behavior 0:00:10.214,0:00:12.280 or even your own? 0:00:12.280,0:00:15.159 And how much about what you think[br]you know about psychology is wrong? 0:00:15.159,0:00:19.037 So let's find out by counting down[br]the top 10 myths of psychology. 0:00:19.037,0:00:21.963 So you've probably heard it said[br]that when it comes to their psychology, 0:00:21.963,0:00:24.865 it's almost as if men are from Mars[br]and women are from Venus. 0:00:24.865,0:00:27.024 But how different[br]are men and women really? 0:00:27.024,0:00:30.368 So to find out, let's start by looking[br]at something on which men and women 0:00:30.368,0:00:31.715 really do differ 0:00:31.715,0:00:35.453 and plotting some psychological[br]gender differences on the same scale. 0:00:35.453,0:00:36.916 So one thing that men and women 0:00:36.916,0:00:38.913 do really differ on is how far[br]they can throw a ball. 0:00:38.913,0:00:40.793 So if we look at the data for men here, 0:00:40.793,0:00:43.324 we see what is called[br]a normal distribution curve. 0:00:43.324,0:00:45.112 A few men can throw a ball really far, 0:00:45.112,0:00:46.575 and a few men not far at all, 0:00:46.575,0:00:48.502 but most a kind of average difference. 0:00:48.502,0:00:50.406 And women share[br]the same distribution as well, 0:00:50.406,0:00:51.985 but actually there's[br]quite a big difference. 0:00:51.985,0:00:54.353 In fact, the average man[br]can throw a ball further 0:00:54.353,0:00:57.070 than about 98 percent of all women. 0:00:57.070,0:00:59.647 So now let's look at what[br]some psychological gender differences 0:00:59.647,0:01:02.944 look like on the same standardized scale. 0:01:02.944,0:01:05.220 So any psychologist will tell you[br]that men are better 0:01:05.220,0:01:06.915 at spacial awareness than women, 0:01:06.915,0:01:08.563 so things like map-reading, for example, 0:01:08.563,0:01:09.585 and it's true, 0:01:09.585,0:01:12.023 but let's have a look[br]at the size of this difference. 0:01:12.023,0:01:15.250 It's tiny: the lines are so close together[br]that they almost overlap. 0:01:15.250,0:01:19.244 In fact, the average woman is better[br]than 33 percent of all men, 0:01:19.244,0:01:21.125 and of course, if that was 50 percent, 0:01:21.125,0:01:23.841 then the two genders[br]would be exactly equal. 0:01:23.841,0:01:25.699 And it's worth bearing in mind[br]that this difference 0:01:25.699,0:01:26.976 and the next one I'm going to show you 0:01:26.976,0:01:29.344 are pretty much the biggest[br]psychological gender differences 0:01:29.344,0:01:31.271 ever discovered in psychology. 0:01:31.271,0:01:32.502 So here's the next one. 0:01:32.502,0:01:35.010 Any psychologist will tell you[br]that women are better 0:01:35.010,0:01:36.635 with language and grammar than men. 0:01:36.635,0:01:38.794 So here's performance[br]on the standardized grammar test. 0:01:38.794,0:01:40.861 There go the women. There go to the men. 0:01:40.861,0:01:43.090 Again, yes, women are better on average, 0:01:43.090,0:01:44.553 but the lines are so close 0:01:44.553,0:01:46.457 that 33 percent of men 0:01:46.457,0:01:48.035 are better than the average woman, 0:01:48.035,0:01:49.730 and again, if it was 50 percent, 0:01:49.730,0:01:52.772 that would represent[br]complete gender equality. 0:01:52.772,0:01:54.583 So it's not really[br]a case of Mars and Venus. 0:01:54.583,0:01:57.300 It's more a case of, if anything,[br]Mars and Snickers: 0:01:57.300,0:01:58.902 basically the same, but, you know, 0:01:58.902,0:02:01.990 one's maybe slightly[br]nuttier than the other. 0:02:01.990,0:02:03.708 I won't say which. 0:02:03.708,0:02:05.473 Right. Now we've got you warmed up. 0:02:05.473,0:02:08.909 Let's psychoanalyze you using[br]the famous Rorschach inkblot test. 0:02:08.909,0:02:12.462 So you can probably see two, I dunno,[br]two bears or two people or something. 0:02:12.462,0:02:13.925 But what do you think they're doing? 0:02:13.925,0:02:17.059 Put your hand up if you think[br]they're saying hello. 0:02:17.059,0:02:18.870 Not many people. Okay. 0:02:18.870,0:02:21.657 Put your hands up if you think[br]they are high-fiving. 0:02:21.657,0:02:24.257 Okay. What if you think they're fighting? 0:02:24.257,0:02:25.372 Only a few people there. 0:02:25.372,0:02:27.949 Okay, so if you think they're[br]saying hello or high-fiving, 0:02:27.949,0:02:29.830 then that means you're a friendly person. 0:02:29.830,0:02:31.710 If you think they're fighting,[br]that means you're a bit more 0:02:31.710,0:02:33.336 of a nasty, aggressive person. 0:02:33.336,0:02:35.216 Are you a lover or a fighter, basically. 0:02:35.216,0:02:36.656 All right, what about this one? 0:02:36.656,0:02:37.863 This isn't really a voting one, 0:02:37.863,0:02:39.675 so on three, everyone[br]shout out what you see. 0:02:39.675,0:02:42.229 One, two, three. 0:02:42.229,0:02:45.781 I heard hamster. Who said hamster? 0:02:45.781,0:02:47.128 That was very worrying. 0:02:47.128,0:02:48.591 A guy there said hamster. 0:02:48.591,0:02:52.329 Well, you should see[br]some kind of two-legged animal here, 0:02:52.329,0:02:54.303 and then the mirror image of them there. 0:02:54.303,0:02:57.414 If you didn't, then this means[br]that you have difficulty 0:02:57.414,0:02:59.109 processing complex situations 0:02:59.109,0:03:01.524 where there's a lot going on. 0:03:01.524,0:03:03.729 Except, of course,[br]it doesn't mean that at all. 0:03:03.729,0:03:06.400 Rorschach inkblot tests[br]have basically no validity 0:03:06.400,0:03:08.675 when it comes to diagnosing[br]people's personality 0:03:08.675,0:03:11.136 and are not used[br]by modern-day psychologists. 0:03:11.136,0:03:12.785 In fact, one recent study found 0:03:12.785,0:03:16.035 that when you do try[br]to diagnose people's personality[br] 0:03:16.035,0:03:17.684 using Rorschach inkblot tests, 0:03:17.684,0:03:19.356 schizophrenia was diagnosed 0:03:19.356,0:03:23.349 in about one sixth of apparently[br]perfectly normal participants. 0:03:23.349,0:03:26.182 So if you didn't do that well on this, 0:03:26.182,0:03:28.736 maybe you are not[br]a very visual type of person. 0:03:28.736,0:03:31.105 So let's do another[br]quick quiz to find out. 0:03:31.105,0:03:33.473 When making a cake, do you prefer to 0:03:33.473,0:03:35.005 -- so hands up for each one again -- 0:03:35.005,0:03:37.652 do you prefer to use[br]a recipe book with pictures? 0:03:37.652,0:03:39.672 Yeah, a few people. 0:03:39.672,0:03:42.412 Have a friend talk you through? 0:03:42.412,0:03:45.245 Or have a go, making it up[br]as you go along? 0:03:45.245,0:03:46.777 Quite a few people there. 0:03:46.777,0:03:48.287 Okay, so if you said a, 0:03:48.287,0:03:50.609 then this means that you[br]are a visual learner 0:03:50.609,0:03:52.187 and you learn best when information 0:03:52.187,0:03:54.091 is presented in a visual style. 0:03:54.091,0:03:56.599 If you said b, it means[br]you're an auditory learner, 0:03:56.599,0:04:00.314 that you learn best when information[br]is presented to you in an auditory format, 0:04:00.314,0:04:01.684 and if you said c, 0:04:01.684,0:04:03.449 it means that you're[br]a kinesthetic learner, 0:04:03.449,0:04:05.190 that you learn best when you get stuck in 0:04:05.190,0:04:06.514 and do things with your hands. 0:04:06.514,0:04:08.278 Except, of course,[br]as you've probably guessed, 0:04:08.278,0:04:11.297 that it doesn't, because[br]the whole thing is a complete myth. 0:04:11.297,0:04:13.015 Learning styles are made up 0:04:13.015,0:04:15.755 and are not supported[br]by scientific evidence. 0:04:15.755,0:04:19.191 So we know this because in[br]tightly controlled experimental studies, 0:04:19.191,0:04:21.142 when learners are given material to learn 0:04:21.142,0:04:23.812 either in their preferred style[br]or an opposite style, 0:04:23.812,0:04:25.228 it makes no difference at all 0:04:25.228,0:04:27.411 to the amount of information[br]that they retain. 0:04:27.411,0:04:29.384 And if you think about it[br]for just a second, 0:04:29.384,0:04:31.242 it's just obvious[br]that this has to be true. 0:04:31.242,0:04:34.144 It's obvious that[br]the best presentation format 0:04:34.144,0:04:35.932 depends not on you, 0:04:35.932,0:04:37.627 but on what you're trying to learn. 0:04:37.627,0:04:39.299 Could you learn to drive a car,[br]for example, 0:04:39.299,0:04:41.667 just by listening to someone[br]telling you what to do 0:04:41.667,0:04:43.525 with no kinesthetic experience? 0:04:43.525,0:04:45.591 Could you solve simultaneous equations 0:04:45.591,0:04:48.447 by talking them through in your head[br]and without writing them down? 0:04:48.447,0:04:51.558 Could you ?? for your architecture exams 0:04:51.558,0:04:53.161 using interpretive dance[br]if you're a kinesthetic learner? 0:04:53.161,0:04:54.972 No. What you need to do is match 0:04:54.972,0:04:58.617 the material to be learned[br]to the presentation format, 0:04:58.617,0:05:00.498 not you. 0:05:00.498,0:05:02.216 So, I know many of you[br]are A-level students 0:05:02.216,0:05:04.468 that will have recently gotten[br]your ???? results. 0:05:04.468,0:05:06.906 And if you didn't quite get[br]what you were hoping for, 0:05:06.906,0:05:08.973 then you can't really blame[br]your learning style, 0:05:08.973,0:05:12.966 but one thing that you might want[br]to think about blaming is your genes. 0:05:12.966,0:05:14.220 So what this is all about 0:05:14.220,0:05:16.635 is a recent study[br]at University College London 0:05:16.635,0:05:19.189 found that 58 percent of the variation 0:05:19.189,0:05:22.440 between different students[br]and their ??? results 0:05:22.440,0:05:24.297 was down to genetic factors. 0:05:24.297,0:05:25.923 So that sounds a very precise figure, 0:05:25.923,0:05:27.223 so how can we tell? 0:05:27.223,0:05:29.568 Well, when we want to unpack[br]the relative contributions 0:05:29.568,0:05:32.842 of genes and the environment, 0:05:32.842,0:05:35.071 what we can do is do a twin study. 0:05:35.071,0:05:38.647 So identical twins share[br]100 percent of their environment 0:05:38.647,0:05:40.551 and 100 percent of their genes, 0:05:40.551,0:05:44.103 whereas non-identical twins[br]share 100 percent of their environment, 0:05:44.103,0:05:45.589 but just like any brother and sister, 0:05:45.589,0:05:47.447 share only 50 percent of their genes. 0:05:47.447,0:05:50.837 So by comparing how similar[br]??? results are in identical twins 0:05:50.837,0:05:54.018 versus non-identical twins, 0:05:54.018,0:05:55.364 and doing some clever math, 0:05:55.364,0:05:59.265 we can an idea of how much variation[br]and performance is due to the environment 0:05:59.265,0:06:01.401 and how much is due to genes. 0:06:01.401,0:06:05.348 And it turns out that it's[br]about 58 percent due to genes. 0:06:05.348,0:06:09.551 So this isn't to undermine the hard work[br]that you and your teachers here put in. 0:06:09.551,0:06:12.012 If you didn't quite get the ??? results[br]that you were hoping for, 0:06:12.012,0:06:16.888 then you can always try blaming[br]your parents, or at least their genes. 0:06:16.888,0:06:18.606 One thing that you shouldn't blame 0:06:18.606,0:06:21.068 is being a left brained[br]or right brained learner, 0:06:21.068,0:06:22.879 because again, this is a myth. 0:06:22.879,0:06:26.176 So the myth here is that[br]the left brain is logical, 0:06:26.176,0:06:27.755 it's good with equations like this, 0:06:27.755,0:06:29.264 and the right brain is more creative, 0:06:29.264,0:06:31.447 so the right brain is better at music. 0:06:31.447,0:06:34.465 But again, this is a myth[br]because nearly everything that you do 0:06:34.465,0:06:37.275 involves nearly all parts[br]of your brain talking together, 0:06:37.275,0:06:40.595 even just the most mundane thing[br]like having a normal conversation. 0:06:40.595,0:06:43.938 However, perhaps one reason[br]why this myth has survived 0:06:43.938,0:06:46.260 is that there is[br]a slight grain of truth to it. 0:06:46.260,0:06:48.420 So a related version of the myth 0:06:48.420,0:06:51.113 is that left-handed people are[br]more creative than right-handed people, 0:06:51.113,0:06:54.457 which kind of makes sense because[br]your brain controls the opposite hands, 0:06:54.457,0:06:55.757 so left-handed people, 0:06:55.757,0:06:57.963 the right side of the brain[br]is slightly more active 0:06:57.963,0:06:59.588 than the left hand side of the brain, 0:06:59.588,0:07:02.606 and the idea is the right-hand side[br]is more creative. 0:07:02.606,0:07:04.603 Now, it isn't true per se 0:07:04.603,0:07:07.204 that left-handed people are more creative[br]than right-handed people. 0:07:07.204,0:07:09.619 What is true that ambidextrous people, 0:07:09.619,0:07:12.312 or people who use both hands[br]for different tasks, 0:07:12.312,0:07:16.074 are more creative thinkers[br]than one-handed people, 0:07:16.074,0:07:17.977 because being ambidextrous involves 0:07:17.977,0:07:20.206 having both sides of the brain[br]talk to each other a lot, 0:07:20.206,0:07:24.548 which seems to be involved[br]in creating flexible thinking. 0:07:24.548,0:07:26.313 The myth of the creative left-hander 0:07:26.313,0:07:28.171 arises from the fact[br]that being ambidextrous 0:07:28.171,0:07:30.098 is more common amongst left-handers 0:07:30.098,0:07:31.282 than right handers, 0:07:31.282,0:07:34.347 so a grain of truth in the idea[br]of the creative left-hander, 0:07:34.347,0:07:35.694 but not much. 0:07:35.694,0:07:38.991 A related myth that you've[br]probably heard of 0:07:38.991,0:07:41.034 is that we only use[br]10 percent of our brains. 0:07:41.034,0:07:42.520 This is, again, a complete myth. 0:07:42.520,0:07:44.749 Nearly everything that we do,[br]even the most mundane thing, 0:07:44.749,0:07:46.932 uses nearly all of our brains. 0:07:46.932,0:07:50.693 That said, it is of course true 0:07:50.693,0:07:53.363 that most of us don't use our brainpower 0:07:53.363,0:07:55.267 quite as well as we could. 0:07:55.267,0:07:58.239 So what could we do[br]to boost our brain power? 0:07:58.239,0:08:01.397 Maybe we could listen[br]to a nice bit of Mozart. 0:08:01.397,0:08:03.255 So have you heard of the idea[br]of the Mozart effect? 0:08:03.255,0:08:05.112 So the idea is that listening to Mozart 0:08:05.112,0:08:08.781 makes you smarter and improves[br]your performance on IQ tests. 0:08:08.781,0:08:10.476 Now again, what's interesting[br]about this myth 0:08:10.476,0:08:12.147 is that although it's basically a myth, 0:08:12.147,0:08:14.051 there is a grain of truth to it. 0:08:14.051,0:08:15.421 So the original study found that 0:08:15.421,0:08:19.322 participants who were played[br]Mozart music for a few minutes 0:08:19.322,0:08:21.621 did better on a subsequent IQ test 0:08:21.621,0:08:24.964 than participants who simply[br]sat in silence. 0:08:24.964,0:08:28.888 But a follow-up study recruited[br]some people who liked Mozart music 0:08:28.888,0:08:30.119 and then another group of people 0:08:30.119,0:08:33.207 who were fans of the horror stories[br]of Stephen King. 0:08:33.207,0:08:36.771 And they played the people[br]the music or the stories. 0:08:36.771,0:08:39.279 The people who preferred[br]Mozart music to the stories 0:08:39.279,0:08:42.320 got a bigger IQ boost[br]from the Mozart than the stories, 0:08:42.320,0:08:44.758 but the people who preferred[br]the stories to the Mozart music 0:08:44.758,0:08:46.105 got a bigger IQ boost 0:08:46.105,0:08:49.170 from listening to the Stephen King stories[br]than the Mozart music. 0:08:49.170,0:08:51.933 So the truth is that listening[br]to something that you enjoy 0:08:51.933,0:08:55.184 perks you up a bit[br]and gives you a temporary IQ boost 0:08:55.184,0:08:57.111 on a narrow range of tasks. 0:08:57.111,0:08:59.479 There's no suggestion that[br]listening to Mozart 0:08:59.479,0:09:01.104 or indeed Stephen King stories 0:09:01.104,0:09:04.936 is going to make you any smarter[br]in the long run. 0:09:04.936,0:09:07.466 So another version of the Mozart myth 0:09:07.466,0:09:12.714 is that listening to Mozart can make you[br]not only cleverer but healthier, too. 0:09:12.714,0:09:14.502 Unfortunately, this doesn't[br]seem to be true 0:09:14.502,0:09:17.451 of someone who listened[br]to the music of Mozart almost every day, 0:09:17.451,0:09:19.169 Mozart himself, 0:09:19.169,0:09:22.419 who suffered from gonorrhea,[br]smallpox, arthritis, 0:09:22.419,0:09:25.043 and what most people think[br]eventually killed him in the end, 0:09:25.043,0:09:27.110 syphilis. 0:09:27.110,0:09:30.035 This suggests that Mozart[br]should have bit more careful, perhaps, 0:09:30.035,0:09:32.613 when choosing his sexual partners. 0:09:32.613,0:09:34.772 But how do we choose a partner? 0:09:34.772,0:09:38.208 So a myth, but I have to say[br]is sometimes spread a bit by sociologists 0:09:38.208,0:09:42.341 is that our preferences[br]in a romantic partner 0:09:42.341,0:09:43.711 are a product of our culture, 0:09:43.711,0:09:45.592 that they're very culturally specific, 0:09:45.592,0:09:47.496 but in fact, the data don't back this up. 0:09:47.496,0:09:51.931 So a famous study surveyed people from[br]32 different cultures across the globe, 0:09:51.931,0:09:53.417 from Americans to Zulus, 0:09:53.417,0:09:55.483 on what they look for in a partner. 0:09:55.483,0:09:57.852 And in every single culture[br]across the globe, 0:09:57.852,0:10:01.567 men placed more value[br]on physical attractiveness in a partner 0:10:01.567,0:10:02.867 than did women, 0:10:02.867,0:10:04.608 and in every single culture, too, 0:10:04.608,0:10:06.582 women placed more importance than did men 0:10:06.582,0:10:09.461 on ambition and high earning power. 0:10:09.461,0:10:10.785 In every culture, too, 0:10:10.785,0:10:13.130 men preferred women[br]who were younger than themselves, 0:10:13.130,0:10:15.939 an average of I think it was 2.66 years, 0:10:15.939,0:10:17.588 and in every culture, too, 0:10:17.588,0:10:20.188 women preferred men[br]who were older than them, 0:10:20.188,0:10:22.998 so an average of 3.42 years, 0:10:22.998,0:10:26.713 which is why we've got here[br]"Everybody Needs A Sugar Daddy." 0:10:26.713,0:10:29.290 So moving on from trying[br]to score with a partner 0:10:29.290,0:10:33.214 to trying to score in basketball[br]or football or whatever your sport is. 0:10:33.214,0:10:35.072 So the myth here is that sportsmen 0:10:35.072,0:10:37.533 go through hot hand streaks,[br]Americans call them, 0:10:37.533,0:10:39.553 or purple patches,[br]we sometimes say in England, 0:10:39.553,0:10:40.993 where they just can't miss, 0:10:40.993,0:10:42.386 like this guy here. 0:10:42.386,0:10:46.077 But in fact, what happens is that[br]if you analyze the pattern 0:10:46.077,0:10:47.865 of hits and misses statistically, 0:10:47.865,0:10:50.164 it turns out that it's[br]nearly always at random. 0:10:50.164,0:10:52.579 Your brain creates patterns[br]from the randomness. 0:10:52.579,0:10:54.436 So if you toss a coin, you know, 0:10:54.436,0:10:57.942 a streak of heads or tails is going[br]to come out somewhere in randomness, 0:10:57.942,0:11:00.473 and becomes the brain likes[br]to see patterns where there are none, 0:11:00.473,0:11:02.934 we look at these streaks[br]and attribute meanings to them 0:11:02.934,0:11:05.001 and say, "Yeah he's really on form today," 0:11:05.001,0:11:06.951 whereas actually you would[br]get the same pattern 0:11:06.951,0:11:12.036 if you were just getting[br]hits and misses at random. 0:11:12.036,0:11:15.542 So an exception to this, however,[br]is penalty shootouts. 0:11:15.542,0:11:17.957 A recent study looking[br]at penalty shootouts in football 0:11:17.957,0:11:19.977 shows that players who represent countries 0:11:19.977,0:11:22.601 with a very bad record[br]in penalty shootouts, 0:11:22.601,0:11:24.784 like, for example, England, 0:11:24.784,0:11:28.545 tend to be quicker to take their shots[br]than countries with a better record, 0:11:28.545,0:11:31.865 and presumably as a result,[br]they're more likely to miss. 0:11:31.865,0:11:33.560 Which raises the question 0:11:33.560,0:11:37.229 of if there's any way that we[br]could improve people's performance, 0:11:37.229,0:11:38.947 and one thing you might think about doing 0:11:38.947,0:11:40.596 is punishing people for their misses 0:11:40.596,0:11:42.546 and seeing if that improves things. 0:11:42.546,0:11:46.308 This idea, the effect that punishment[br]can improve performance, 0:11:46.308,0:11:48.444 is what participants[br]thought they were testing 0:11:48.444,0:11:50.766 in Milgram's famous learning[br]and punishment experiment 0:11:50.766,0:11:53.784 that you've probably heard about[br]if you're a psychology student. 0:11:53.784,0:11:56.106 The story goes that participants[br]were prepared to give 0:11:56.106,0:11:59.867 what they believed to be fatal[br]electric shocks to a fellow participant 0:11:59.867,0:12:01.888 when they got a question wrong, 0:12:01.888,0:12:04.697 just because someone[br]in a white coat told them too. 0:12:04.697,0:12:07.112 But this story is a myth[br]for three reasons. 0:12:07.112,0:12:10.246 Firstly and most crucially,[br]the lab coat wasn't white. 0:12:10.246,0:12:11.988 It was, in fact, grey. 0:12:11.988,0:12:16.423 Secondly, the participants[br]were told before the study 0:12:16.423,0:12:18.930 and reminded any time[br]they raised a concern, 0:12:18.930,0:12:21.763 that although the shocks were painful,[br]they were not fatal 0:12:21.763,0:12:24.665 and indeed caused[br]no permanent damage whatsoever. 0:12:24.665,0:12:26.825 And thirdly, participants[br]didn't give the shocks 0:12:26.825,0:12:29.843 just because someone[br]in the coat told them to. 0:12:29.843,0:12:31.515 When they were interviewed[br]after the study, 0:12:31.515,0:12:34.023 all the participants said[br]that they firmly believed 0:12:34.023,0:12:37.807 that the learning and punishment study[br]served a worthy scientific purpose 0:12:37.807,0:12:40.245 which would have[br]enduring gains for science 0:12:40.245,0:12:43.844 as opposed to the momentary[br]non-fatal discomfort 0:12:43.844,0:12:47.025 caused to the participants. 0:12:47.025,0:12:50.183 Okay, so I've been talking[br]for about 12 minutes now, 0:12:50.183,0:12:51.599 and you've probably been sitting there 0:12:51.599,0:12:54.409 listening to me, analyzing[br]my speech patterns and body language 0:12:54.409,0:12:58.556 and trying to work out if you should[br]take any notice of what I'm saying, 0:12:58.556,0:13:00.577 whether I'm telling the truth[br]or whether I'm lying, 0:13:00.577,0:13:02.759 but if so you've[br]probably completely failed, 0:13:02.759,0:13:05.104 because although we all think[br]we can catch a liar 0:13:05.104,0:13:07.217 from their body language[br]and speech patterns, 0:13:07.217,0:13:09.610 hundreds of psychological tests[br]over the years have shown 0:13:09.610,0:13:12.511 that all of us, including[br]police officers and detectives, 0:13:12.511,0:13:15.901 are basically at chance when it comes[br]to detecting lies from body language 0:13:15.901,0:13:17.642 and verbal patterns. 0:13:17.642,0:13:19.686 Interestingly, there is one exception: 0:13:19.686,0:13:21.938 TV appeals for missing relatives. 0:13:21.938,0:13:25.073 It's quite easy to predict[br]when the relatives are missing 0:13:25.073,0:13:28.254 and when the appealers have in fact[br]murdered the relatives themselves. 0:13:28.254,0:13:31.969 So hoax appealers are more likely[br]to shake their heads, to look away, 0:13:31.969,0:13:33.733 and to make errors in their speech, 0:13:33.733,0:13:35.498 whereas genuine appealers are more likely 0:13:35.498,0:13:37.843 to express hope that the person[br]will return safely 0:13:37.843,0:13:39.584 and to avoid brutal language. 0:13:39.584,0:13:44.577 So, for example, they might say[br]"taken from us" rather than "killed." 0:13:44.577,0:13:45.714 Speaking of which, 0:13:45.714,0:13:47.084 it's about time I killed this talk, 0:13:47.084,0:13:48.802 but before I do, I just want to give you 0:13:48.802,0:13:50.033 in 30 seconds 0:13:50.033,0:13:53.423 the overarching myth of psychology. 0:13:53.423,0:13:55.550 So the myth is that psychology 0:13:55.550,0:13:57.988 is just a collection[br]of interesting theories, 0:13:57.988,0:13:59.497 all of which say something useful 0:13:59.497,0:14:01.471 and all of which have something to offer. 0:14:01.471,0:14:03.630 What I hope to have shown you[br]in the past few minutes 0:14:03.630,0:14:05.325 is that this isn't true. 0:14:05.325,0:14:08.994 What we need to do is assess[br]psychological theories 0:14:08.994,0:14:10.828 by seeing what predictions they make, 0:14:10.828,0:14:13.289 whether that is that listening to Mozart[br]makes you smarter, 0:14:13.289,0:14:15.936 that you learn better when information 0:14:15.936,0:14:18.072 is presented in your[br]preferred learning style, 0:14:18.072,0:14:21.671 or whatever it is, all of these[br]are testable empirical predictions, 0:14:21.671,0:14:23.366 and the only way we can make progress 0:14:23.366,0:14:25.386 is to test these predictions[br]against the data 0:14:25.386,0:14:27.755 in tightly controlled[br]experimental studies, 0:14:27.755,0:14:30.889 and it's only by doing so[br]that we can hope to discover 0:14:30.889,0:14:33.513 which of these theories[br]are well-supported, 0:14:33.513,0:14:36.903 and which, like all the ones[br]I've told you about today, are myths. 0:14:36.903,0:14:38.412 Thank you. 0:14:38.412,0:14:41.872 (Applause)