0:00:10.244,0:00:13.182 Welcome. I came here today to warn you 0:00:13.182,0:00:15.142 about the dangers of ice-cream. 0:00:15.142,0:00:16.994 You may not be aware of this, 0:00:16.994,0:00:20.178 but these innocent looking cones full of sweetness 0:00:20.178,0:00:22.710 are one of the major causes of drownings. 0:00:22.710,0:00:24.813 And I've got the numbers to prove it. 0:00:24.813,0:00:28.043 So, if you plot a graph of the number of ice-creams that are sold, 0:00:28.043,0:00:30.447 and you compare it with the number of drownings, 0:00:30.447,0:00:33.312 you can see there is clearly an upwards trend, 0:00:33.312,0:00:36.668 and I think it's very safe to conclude from this 0:00:36.668,0:00:39.663 that we should ban ice-cream because it's very dangerous. 0:00:39.663,0:00:44.712 (Laughter) (Applause) 0:00:44.712,0:00:46.094 Since you're all smart people, 0:00:46.094,0:00:47.535 you've probably figured out 0:00:47.535,0:00:49.364 there's something wrong with my example. 0:00:49.364,0:00:51.580 What's really happening here is, of course, 0:00:51.580,0:00:53.786 that there is an underlying factor, 0:00:53.786,0:00:56.443 which is nice weather, you might have guessed it. 0:00:56.443,0:00:57.914 And if the weather is nice, 0:00:57.914,0:00:59.762 more people will go out swimming, 0:00:59.762,0:01:02.225 and unfortunately drown, and at the same time, 0:01:02.225,0:01:04.040 more people will buy ice-cream. 0:01:04.040,0:01:07.255 And it's not the ice-cream that's causing the drownings. 0:01:07.255,0:01:09.276 And here it's really easy to see that 0:01:09.276,0:01:10.902 there is something wrong, 0:01:10.902,0:01:14.102 but jumping to an incorrect conclusion about causality 0:01:14.102,0:01:15.960 when you see a correlation 0:01:15.960,0:01:18.931 is the most often made logical mistake. 0:01:18.931,0:01:20.926 And today my goal is to make sure that 0:01:20.926,0:01:23.362 in the future you can recognize this mistake. 0:01:23.362,0:01:25.755 And I really hope you can avoid making it 0:01:25.755,0:01:27.562 in the future for yourselves. 0:01:27.562,0:01:30.782 And I'll do this by just giving some famous examples. 0:01:30.782,0:01:33.343 And the first one is really rather innocent. 0:01:33.343,0:01:34.884 The fact is that 0:01:34.884,0:01:38.300 married men live longer than single men. 0:01:38.300,0:01:40.155 If you look at the statistics, you see that 0:01:40.155,0:01:42.141 this is really happening. 0:01:42.141,0:01:44.878 And women's magazines, they like to conclude from this 0:01:44.878,0:01:47.718 that marriage is very healthy for men, 0:01:47.718,0:01:49.628 because it makes them live longer. 0:01:49.628,0:01:52.962 Well, a friend of mine, he likes to joke that 0:01:52.962,0:01:55.716 marriage mainly makes life seem longer, 0:01:55.716,0:01:57.793 but -- (Laughter) -- 0:01:57.793,0:02:00.002 that's because his wife is -- 0:02:00.002,0:02:03.440 (Cheers) (Applause) 0:02:03.440,0:02:06.643 But so, can anyone guess what's going on here? 0:02:06.643,0:02:08.933 Because there is a causal relation, 0:02:08.933,0:02:11.062 but it's the other way around. 0:02:11.062,0:02:13.547 The fact is that men who are healthy, 0:02:13.547,0:02:15.837 and rich, and well educated, 0:02:15.837,0:02:18.193 and have a much higher life expectancy, 0:02:18.193,0:02:19.967 these are the men that are much more likely 0:02:19.967,0:02:22.409 to find a wife -- that's the way women are -- 0:02:22.409,0:02:25.429 and the guys who have a very low life expectancy, 0:02:25.429,0:02:27.564 so they're unhealthy and poor, 0:02:27.564,0:02:29.659 they are not as likely to get married. 0:02:29.659,0:02:31.587 So it's the high life expectancy 0:02:31.587,0:02:33.398 that is causing the marriage, 0:02:33.398,0:02:35.131 not the other way around. 0:02:35.131,0:02:37.018 Well, and this, of course, you know, 0:02:37.018,0:02:38.627 it's not so serious, no one will get married 0:02:38.627,0:02:40.416 just because he read this. 0:02:40.416,0:02:43.320 So let's move to a more serious example. 0:02:43.320,0:02:45.667 It was also more serious research. 0:02:45.667,0:02:49.237 In Nature there was a study in 1999 that showed 0:02:49.237,0:02:52.225 that young kids who sleep with the lights on, 0:02:52.225,0:02:54.650 that they have a much higher probability 0:02:54.650,0:02:56.943 of becoming short-sighted later in life. 0:02:56.943,0:02:58.976 But the researchers, they were smart, 0:02:58.976,0:03:00.963 and they wrote very careful 0:03:00.963,0:03:03.076 that they had found a correlation, 0:03:03.076,0:03:06.444 and they didn't know how the causal relation might work, 0:03:06.444,0:03:08.980 but just to be sure they advised all parents 0:03:08.980,0:03:11.290 to turn off the lights at night. 0:03:11.290,0:03:13.819 And in the popular media this became that 0:03:13.819,0:03:16.794 bed lamps were night abuse, children's abuse, 0:03:16.794,0:03:17.910 and that it was very bad 0:03:17.910,0:03:20.281 if parents used lamps in the bedroom. 0:03:20.281,0:03:22.120 And many parents were worried. 0:03:22.120,0:03:23.766 I can imagine, if this would have happened 0:03:23.766,0:03:25.476 when my son was sleeping with the lights on, 0:03:25.476,0:03:26.947 I would had felt really bad. 0:03:26.947,0:03:30.776 But luckily, the article had to be corrected 0:03:30.776,0:03:34.280 the next week, and maybe some of you can guess, 0:03:34.280,0:03:37.331 and if there are biologists in the audience, they know. 0:03:37.331,0:03:40.276 Short-sightedness is genetic. 0:03:40.276,0:03:42.310 And so, it's parents who are short-sighted. 0:03:42.310,0:03:43.583 And those are the parents who like to 0:03:43.583,0:03:45.693 leave the light on in the bedroom, 0:03:45.693,0:03:47.281 and they also are the parents 0:03:47.281,0:03:49.245 who have short-sighted kids. 0:03:49.245,0:03:53.579 So again, a simple mistake, easy to make. 0:03:53.579,0:03:56.111 Then, what is I think the worst example I know -- 0:03:56.111,0:03:57.312 I know many of them, 0:03:57.312,0:03:58.774 I see at least one of these 0:03:58.774,0:04:00.642 in the newspapers every week. 0:04:00.642,0:04:02.788 But this is a classic one: in the '70s, 0:04:02.788,0:04:05.260 researchers found that there is a very strong link 0:04:05.260,0:04:08.573 between kids who do well in school, get good grades, 0:04:08.573,0:04:11.112 and kids who have a high self-esteem. 0:04:11.112,0:04:12.906 And they concluded from this 0:04:12.906,0:04:14.794 that it's very important to make sure that 0:04:14.794,0:04:17.072 young kids are, you know, raised 0:04:17.072,0:04:19.437 to be confident and proud of themselves, 0:04:19.437,0:04:21.787 because if their self-esteem is high, 0:04:21.787,0:04:23.753 the good results will follow. 0:04:23.753,0:04:25.635 And this forethought was told to parents, 0:04:25.635,0:04:28.326 especially in the US, for generations, 0:04:28.326,0:04:31.562 that just make sure that your kid is proud and confident, 0:04:31.562,0:04:33.348 then all will turn out well. 0:04:33.348,0:04:36.956 And many years later, someone did another study 0:04:36.956,0:04:38.422 just to see in which 0:04:38.422,0:04:40.777 direction the cause was working. 0:04:40.777,0:04:43.891 And they found that it was in the opposite direction. 0:04:43.891,0:04:46.810 So the good grades were causing the self-esteem, 0:04:46.810,0:04:49.685 and self-esteem wasn't causing good grades. 0:04:49.685,0:04:51.478 And it was even worse. 0:04:51.478,0:04:55.001 So kids who are raised just to have high self-confidence, 0:04:55.001,0:04:56.760 and not excel at anything -- 0:04:56.760,0:04:58.005 it can be sports or music, 0:04:58.005,0:04:59.825 doesn't have to be school -- 0:04:59.825,0:05:01.710 the kids who are just proud of themselves, 0:05:01.710,0:05:03.179 and then fail at everything, 0:05:03.179,0:05:05.828 in the end they will have a very low self-esteem, 0:05:05.828,0:05:08.568 and not be able to make anything of their life. 0:05:08.568,0:05:11.719 So this was a very serious correlation mistake. 0:05:11.719,0:05:14.096 And what I want for today is for you 0:05:14.096,0:05:15.873 to remember that the next time 0:05:15.873,0:05:18.618 someone wants to prove that there is a causal relation 0:05:18.618,0:05:20.906 between something and something else -- 0:05:20.906,0:05:23.793 it can be anything, it can be vaccines and autism, 0:05:23.793,0:05:27.294 it can be female bankers and the financial crisis, 0:05:27.294,0:05:29.632 and if they -- (Laughter) -- point out to you 0:05:29.632,0:05:31.976 that there is a very strong relation, 0:05:31.976,0:05:34.826 remember that it's not enough to have a correlation. 0:05:34.826,0:05:37.093 It gives a very good hint of what might be happening, 0:05:37.093,0:05:40.983 but before you can conclude that one thing causes something else, 0:05:40.983,0:05:43.840 you need to know why it does and how it does. 0:05:43.840,0:05:46.830 So, when in doubt, just remember the ice-cream. 0:05:46.830,0:05:48.267 Thank you very much. 0:05:48.267,0:05:52.620 (Applause)