WEBVTT 00:00:00.714 --> 00:00:03.810 Back in 2003, 00:00:03.834 --> 00:00:06.343 the UK government carried out a survey. 00:00:07.494 --> 00:00:10.643 And it was a survey that measured levels of numeracy 00:00:10.667 --> 00:00:11.904 in the population. 00:00:11.928 --> 00:00:13.571 And they were shocked to find out 00:00:13.595 --> 00:00:16.959 that for every 100 working age adults in the country, 00:00:16.983 --> 00:00:20.484 47 of them lacked Level 1 numeracy skills. 00:00:20.892 --> 00:00:25.004 Now, Level 1 numeracy skills -- that's low-end GCSE score. 00:00:25.410 --> 00:00:28.658 It's the ability to deal with fractions, percentages and decimals. 00:00:28.682 --> 00:00:33.310 So this figure prompted a lot of hand-wringing in Whitehall. 00:00:33.334 --> 00:00:34.962 Policies were changed, 00:00:34.986 --> 00:00:36.708 investments were made, 00:00:36.732 --> 00:00:39.770 and then they ran the survey again in 2011. 00:00:39.794 --> 00:00:41.999 So can you guess what happened to this number? 00:00:44.021 --> 00:00:45.465 It went up to 49. NOTE Paragraph 00:00:45.489 --> 00:00:46.938 (Laughter) NOTE Paragraph 00:00:46.962 --> 00:00:49.411 And in fact, when I reported this figure in the FT, 00:00:49.435 --> 00:00:51.106 one of our readers joked and said, 00:00:51.130 --> 00:00:54.891 "This figure is only shocking to 51 percent of the population." NOTE Paragraph 00:00:54.915 --> 00:00:57.201 (Laughter) NOTE Paragraph 00:00:57.225 --> 00:01:00.382 But I preferred, actually, the reaction of a schoolchild 00:01:00.406 --> 00:01:03.501 when I presented at a school this information, 00:01:03.525 --> 00:01:05.056 who raised their hand and said, 00:01:05.080 --> 00:01:07.596 "How do we know that the person who made that number 00:01:07.620 --> 00:01:09.435 isn't one of the 49 percent either?" NOTE Paragraph 00:01:09.459 --> 00:01:10.713 (Laughter) NOTE Paragraph 00:01:10.737 --> 00:01:14.787 So clearly, there's a numeracy issue, 00:01:14.811 --> 00:01:16.921 because these are important skills for life, 00:01:16.945 --> 00:01:20.812 and a lot of the changes that we want to introduce in this century 00:01:20.836 --> 00:01:23.277 involve us becoming more comfortable with numbers. NOTE Paragraph 00:01:23.301 --> 00:01:25.149 Now, it's not just an English problem. 00:01:25.173 --> 00:01:30.103 OECD this year released some figures looking at numeracy in young people, 00:01:30.127 --> 00:01:32.907 and leading the way, the USA -- 00:01:32.931 --> 00:01:37.601 nearly 40 percent of young people in the US have low numeracy. 00:01:37.625 --> 00:01:38.922 Now, England is there too, 00:01:38.946 --> 00:01:44.479 but there are seven OECD countries with figures above 20 percent. 00:01:44.503 --> 00:01:47.262 That is a problem, because it doesn't have to be that way. 00:01:47.286 --> 00:01:49.294 If you look at the far end of this graph, 00:01:49.318 --> 00:01:52.278 you can see the Netherlands and Korea are in single figures. 00:01:52.302 --> 00:01:56.718 So there's definitely a numeracy problem that we want to address. NOTE Paragraph 00:01:57.510 --> 00:02:00.440 Now, as useful as studies like these are, 00:02:00.464 --> 00:02:05.864 I think we risk herding people inadvertently into one of two categories; 00:02:05.888 --> 00:02:07.664 that there are two kinds of people: 00:02:07.688 --> 00:02:12.037 those people that are comfortable with numbers, that can do numbers, 00:02:12.061 --> 00:02:14.297 and the people who can't. 00:02:14.321 --> 00:02:16.422 And what I'm trying to talk about here today 00:02:16.446 --> 00:02:19.488 is to say that I believe that is a false dichotomy. 00:02:19.512 --> 00:02:21.380 It's not an immutable pairing. 00:02:21.404 --> 00:02:25.052 I think you don't have to have tremendously high levels of numeracy 00:02:25.076 --> 00:02:26.804 to be inspired by numbers, 00:02:26.828 --> 00:02:29.937 and that should be the starting point to the journey ahead. NOTE Paragraph 00:02:30.387 --> 00:02:34.698 And one of the ways in which we can begin that journey, for me, 00:02:34.722 --> 00:02:36.448 is looking at statistics. 00:02:36.472 --> 00:02:39.967 Now, I am the first to acknowledge that statistics has got somewhat 00:02:39.991 --> 00:02:41.309 of an image problem. NOTE Paragraph 00:02:41.333 --> 00:02:42.380 (Laughter) NOTE Paragraph 00:02:42.404 --> 00:02:43.936 It's the part of mathematics 00:02:43.960 --> 00:02:47.019 that even mathematicians don't particularly like, 00:02:47.043 --> 00:02:51.055 because whereas the rest of maths is all about precision and certainty, 00:02:51.079 --> 00:02:53.363 statistics is almost the reverse of that. 00:02:53.793 --> 00:02:58.448 But actually, I was a late convert to the world of statistics myself. 00:02:58.472 --> 00:03:00.554 If you'd asked my undergraduate professors 00:03:00.578 --> 00:03:05.337 what two subjects would I be least likely to excel in after university, 00:03:05.361 --> 00:03:08.128 they'd have told you statistics and computer programming, 00:03:08.152 --> 00:03:11.091 and yet here I am, about to show you some statistical graphics 00:03:11.115 --> 00:03:12.317 that I programmed. NOTE Paragraph 00:03:12.745 --> 00:03:14.500 So what inspired that change in me? 00:03:14.524 --> 00:03:18.172 What made me think that statistics was actually an interesting thing? 00:03:18.196 --> 00:03:20.462 It's really because statistics are about us. 00:03:20.869 --> 00:03:23.451 If you look at the etymology of the word statistics, 00:03:23.475 --> 00:03:26.084 it's the science of dealing with data 00:03:26.108 --> 00:03:28.538 about the state or the community that we live in. 00:03:28.562 --> 00:03:31.916 So statistics are about us as a group, 00:03:31.940 --> 00:03:33.615 not us as individuals. 00:03:33.639 --> 00:03:35.109 And I think as social animals, 00:03:35.133 --> 00:03:39.077 we share this fascination about how we as individuals relate to our groups, 00:03:39.101 --> 00:03:40.489 to our peers. 00:03:40.513 --> 00:03:43.623 And statistics in this way are at their most powerful 00:03:43.647 --> 00:03:44.948 when they surprise us. NOTE Paragraph 00:03:45.477 --> 00:03:48.684 And there's been some really wonderful surveys carried out recently 00:03:48.708 --> 00:03:50.422 by Ipsos MORI in the last few years. 00:03:50.446 --> 00:03:53.154 They did a survey of over 1,000 adults in the UK, 00:03:53.178 --> 00:03:56.958 and said, for every 100 people in England and Wales, 00:03:56.982 --> 00:03:58.852 how many of them are Muslim? 00:03:58.876 --> 00:04:01.522 Now the average answer from this survey, 00:04:01.546 --> 00:04:04.958 which was supposed to be representative of the total population, was 24. 00:04:04.982 --> 00:04:08.658 That's what people thought. 00:04:08.682 --> 00:04:12.321 British people think 24 out of every 100 people in the country are Muslim. 00:04:12.345 --> 00:04:16.755 Now, official figures reveal that figure to be about five. 00:04:17.732 --> 00:04:21.719 So there's this big variation between what we think, our perception, 00:04:21.743 --> 00:04:23.781 and the reality as given by statistics. 00:04:23.805 --> 00:04:25.349 And I think that's interesting. 00:04:25.373 --> 00:04:28.663 What could possibly be causing that misperception? NOTE Paragraph 00:04:29.212 --> 00:04:31.066 And I was so thrilled with this study, 00:04:31.090 --> 00:04:34.570 I started to take questions out in presentations. I was referring to it. 00:04:34.594 --> 00:04:35.812 Now, I did a presentation 00:04:35.836 --> 00:04:38.146 at St. Paul's School for Girls in Hammersmith, 00:04:38.170 --> 00:04:40.310 and I had an audience rather like this, 00:04:40.334 --> 00:04:44.202 except it was comprised entirely of sixth-form girls. 00:04:44.226 --> 00:04:46.622 And I said, "Girls, 00:04:47.598 --> 00:04:52.141 how many teenage girls do you think the British public think 00:04:52.165 --> 00:04:53.913 get pregnant every year?" 00:04:53.937 --> 00:04:56.613 And the girls were apoplectic when I said 00:04:57.453 --> 00:05:01.366 the British public think that 15 out of every 100 teenage girls 00:05:01.390 --> 00:05:02.683 get pregnant in the year. 00:05:03.429 --> 00:05:05.660 And they had every right to be angry, 00:05:05.684 --> 00:05:08.442 because in fact, I'd have to have closer to 200 dots 00:05:08.466 --> 00:05:10.036 before I could color one in, 00:05:10.060 --> 00:05:12.575 in terms of what the official figures tell us. NOTE Paragraph 00:05:12.599 --> 00:05:16.399 And rather like numeracy, this is not just an English problem. 00:05:16.423 --> 00:05:20.927 Ipsos MORI expanded the survey in recent years to go across the world. 00:05:20.951 --> 00:05:23.901 And so, they asked Saudi Arabians, 00:05:23.925 --> 00:05:26.446 for every 100 adults in your country, 00:05:26.470 --> 00:05:29.343 how many of them are overweight or obese? 00:05:30.526 --> 00:05:35.859 And the average answer from the Saudis was just over a quarter. 00:05:36.402 --> 00:05:37.604 That's what they thought. 00:05:37.628 --> 00:05:40.196 Just over a quarter of adults are overweight or obese. 00:05:40.220 --> 00:05:45.001 The official figures show, actually, it's nearer to three-quarters. NOTE Paragraph 00:05:45.025 --> 00:05:46.481 (Laughter) NOTE Paragraph 00:05:46.505 --> 00:05:48.797 So again, a big variation. NOTE Paragraph 00:05:48.821 --> 00:05:53.267 And I love this one: they asked in Japan, they asked the Japanese, 00:05:53.291 --> 00:05:55.251 for every 100 Japanese people, 00:05:55.275 --> 00:05:57.876 how many of them live in rural areas? 00:05:58.521 --> 00:06:03.422 The average was about a 50-50 split, just over halfway. 00:06:03.446 --> 00:06:07.593 They thought 56 out of every 100 Japanese people lived in rural areas. 00:06:07.617 --> 00:06:09.304 The official figure is seven. NOTE Paragraph 00:06:10.259 --> 00:06:14.709 So extraordinary variations, and surprising to some, 00:06:14.733 --> 00:06:17.122 but not surprising to people who have read the work 00:06:17.146 --> 00:06:21.538 of Daniel Kahneman, for example, the Nobel-winning economist. 00:06:21.562 --> 00:06:26.654 He and his colleague, Amos Tversky, spent years researching this disjoint 00:06:26.678 --> 00:06:29.823 between what people perceive and the reality, 00:06:29.847 --> 00:06:33.598 the fact that people are actually pretty poor intuitive statisticians. 00:06:33.622 --> 00:06:35.382 And there are many reasons for this. 00:06:35.406 --> 00:06:38.521 Individual experiences, certainly, can influence our perceptions, 00:06:38.545 --> 00:06:42.503 but so, too, can things like the media reporting things by exception, 00:06:42.527 --> 00:06:44.223 rather than what's normal. 00:06:44.855 --> 00:06:46.981 Kahneman had a nice way of referring to that. 00:06:47.005 --> 00:06:49.090 He said, "We can be blind to the obvious" -- 00:06:49.114 --> 00:06:50.752 so we've got the numbers wrong -- 00:06:50.776 --> 00:06:53.098 "but we can be blind to our blindness about it." 00:06:53.122 --> 00:06:56.388 And that has enormous repercussions for decision making. NOTE Paragraph 00:06:56.412 --> 00:06:59.264 So at the statistics office while this was all going on, 00:06:59.288 --> 00:07:01.200 I thought this was really interesting. 00:07:01.224 --> 00:07:03.234 I said, this is clearly a global problem, 00:07:03.258 --> 00:07:05.693 but maybe geography is the issue here. 00:07:05.717 --> 00:07:09.626 These were questions that were all about, how well do you know your country? 00:07:09.650 --> 00:07:13.643 So in this case, it's how well do you know 64 million people? 00:07:13.667 --> 00:07:16.399 Not very well, it turns out. I can't do that. 00:07:16.423 --> 00:07:17.747 So I had an idea, 00:07:17.771 --> 00:07:20.894 which was to think about this same sort of approach 00:07:20.918 --> 00:07:23.023 but to think about it in a very local sense. 00:07:23.047 --> 00:07:24.238 Is this a local? 00:07:24.262 --> 00:07:26.203 If we reframe the questions and say, 00:07:26.227 --> 00:07:28.349 how well do you know your local area, 00:07:28.373 --> 00:07:30.476 would your answers be any more accurate? NOTE Paragraph 00:07:31.817 --> 00:07:33.579 So I devised a quiz: 00:07:33.603 --> 00:07:35.462 How well do you know your area? 00:07:36.454 --> 00:07:38.343 It's a simple Web app. 00:07:38.367 --> 00:07:39.550 You put in a post code 00:07:39.574 --> 00:07:42.281 and then it will ask you questions based on census data 00:07:42.305 --> 00:07:43.844 for your local area. 00:07:44.305 --> 00:07:46.428 And I was very conscious in designing this. 00:07:46.452 --> 00:07:50.561 I wanted to make it open to the widest possible range of people, 00:07:50.585 --> 00:07:53.413 not just the 49 percent who can get the numbers. 00:07:53.437 --> 00:07:55.192 I wanted everyone to engage with it. 00:07:55.216 --> 00:07:56.741 So for the design of the quiz, 00:07:56.765 --> 00:08:00.380 I was inspired by the isotypes 00:08:00.404 --> 00:08:03.006 of Otto Neurath from the 1920s and '30s. 00:08:03.030 --> 00:08:07.378 Now, these are methods for representing numbers 00:08:07.402 --> 00:08:09.175 using repeating icons. 00:08:09.640 --> 00:08:12.805 And the numbers are there, but they sit in the background. 00:08:12.829 --> 00:08:15.552 So it's a great way of representing quantity 00:08:15.576 --> 00:08:18.560 without resorting to using terms like "percentage," 00:08:18.584 --> 00:08:19.814 "fractions" and "ratios." NOTE Paragraph 00:08:19.838 --> 00:08:21.540 So here's the quiz. 00:08:22.310 --> 00:08:23.957 The layout of the quiz is, 00:08:23.981 --> 00:08:26.800 you have your repeating icons on the left-hand side there, 00:08:26.824 --> 00:08:29.947 and a map showing you the area we're asking you questions about 00:08:29.971 --> 00:08:31.138 on the right-hand side. 00:08:31.162 --> 00:08:32.443 There are seven questions. 00:08:32.467 --> 00:08:36.360 Each question, there's a possible answer between zero and a hundred, 00:08:36.384 --> 00:08:37.733 and at the end of the quiz, 00:08:37.757 --> 00:08:40.975 you get an overall score between zero and a hundred. 00:08:40.999 --> 00:08:43.083 And so because this is TEDxExeter, 00:08:43.107 --> 00:08:45.432 I thought we would have a quick look at the quiz 00:08:45.456 --> 00:08:47.765 for the first few questions of Exeter. 00:08:47.789 --> 00:08:49.194 And so the first question is: 00:08:49.218 --> 00:08:52.210 For every 100 people, how many are aged under 16? 00:08:52.784 --> 00:08:56.384 Now, I don't know Exeter very well at all, so I had a guess at this, 00:08:56.408 --> 00:08:58.969 but it gives you an idea of how this quiz works. 00:08:58.993 --> 00:09:02.699 You drag the slider to highlight your icons, 00:09:02.723 --> 00:09:04.958 and then just click "Submit" to answer, 00:09:04.982 --> 00:09:08.645 and we animate away the difference between your answer and reality. 00:09:08.669 --> 00:09:12.744 And it turns out, I was a pretty terrible guess: five. NOTE Paragraph 00:09:13.149 --> 00:09:14.573 How about the next question? 00:09:14.597 --> 00:09:16.753 This is asking about what the average age is, 00:09:16.777 --> 00:09:19.222 so the age at which half the population are younger 00:09:19.246 --> 00:09:20.920 and half the population are older. 00:09:20.944 --> 00:09:24.294 And I thought 35 -- that sounds middle-aged to me. NOTE Paragraph 00:09:24.318 --> 00:09:25.761 (Laughter) NOTE Paragraph 00:09:28.206 --> 00:09:30.312 Actually, in Exeter, it's incredibly young, 00:09:30.336 --> 00:09:34.874 and I had underestimated the impact of the university in this area. 00:09:34.898 --> 00:09:36.929 The questions get harder as you go through. 00:09:36.953 --> 00:09:39.336 So this one's now asking about homeownership: 00:09:39.955 --> 00:09:43.654 For every 100 households, how many are owned with a mortgage or loan? 00:09:43.678 --> 00:09:44.958 And I hedged my bets here, 00:09:44.982 --> 00:09:48.080 because I didn't want to be more than 50 out on the answer. NOTE Paragraph 00:09:48.104 --> 00:09:50.124 (Laughter) NOTE Paragraph 00:09:50.148 --> 00:09:52.614 And actually, these get harder, these questions, 00:09:52.638 --> 00:09:55.497 because when you're in an area, when you're in a community, 00:09:55.521 --> 00:10:00.771 things like age -- there are clues to whether a population is old or young. 00:10:00.795 --> 00:10:03.140 Just by looking around the area, you can see it. 00:10:03.164 --> 00:10:06.555 Something like homeownership is much more difficult to see, 00:10:06.579 --> 00:10:09.187 so we revert to our own heuristics, 00:10:09.211 --> 00:10:13.662 our own biases about how many people we think own their own homes. NOTE Paragraph 00:10:13.686 --> 00:10:17.336 Now the truth is, when we published this quiz, 00:10:17.360 --> 00:10:20.896 the census data that it's based on was already a few years old. 00:10:20.920 --> 00:10:24.489 We've had online applications that allow you to put in a post code 00:10:24.513 --> 00:10:26.607 and get statistics back for years. 00:10:26.631 --> 00:10:27.820 So in some senses, 00:10:27.844 --> 00:10:31.393 this was all a little bit old and not necessarily new. 00:10:31.417 --> 00:10:35.056 But I was interested to see what reaction we might get 00:10:35.080 --> 00:10:37.797 by gamifying the data in the way that we have, 00:10:37.821 --> 00:10:39.228 by using animation 00:10:39.252 --> 00:10:43.000 and playing on the fact that people have their own preconceptions. NOTE Paragraph 00:10:43.508 --> 00:10:47.091 It turns out, the reaction was, um ... 00:10:48.328 --> 00:10:50.256 was more than I could have hoped for. 00:10:50.280 --> 00:10:53.661 It was a long-held ambition of mine to bring down a statistics website 00:10:53.685 --> 00:10:55.093 due to public demand. NOTE Paragraph 00:10:55.117 --> 00:10:56.917 (Laughter) NOTE Paragraph 00:10:56.941 --> 00:11:00.405 This URL contains the words "statistics," "gov" and "UK," 00:11:00.429 --> 00:11:03.671 which are three of people's least favorite words in a URL. 00:11:03.695 --> 00:11:07.680 And the amazing thing about this was that the website came down 00:11:07.704 --> 00:11:09.797 at quarter to 10 at night, 00:11:09.821 --> 00:11:13.032 because people were actually engaging with this data 00:11:13.056 --> 00:11:14.595 of their own free will, 00:11:14.619 --> 00:11:16.654 using their own personal time. 00:11:16.678 --> 00:11:19.165 I was very interested to see 00:11:19.189 --> 00:11:22.902 that we got something like a quarter of a million people 00:11:22.926 --> 00:11:26.198 playing the quiz within the space of 48 hours of launching it. 00:11:26.222 --> 00:11:30.149 And it sparked an enormous discussion online, on social media, 00:11:30.173 --> 00:11:32.210 which was largely dominated 00:11:32.234 --> 00:11:36.227 by people having fun with their misconceptions, 00:11:36.251 --> 00:11:39.310 which is something that I couldn't have hoped for any better, 00:11:39.334 --> 00:11:40.494 in some respects. 00:11:40.518 --> 00:11:43.744 I also liked the fact that people started sending it to politicians. 00:11:43.768 --> 00:11:46.357 How well do you know the area you claim to represent? NOTE Paragraph 00:11:46.381 --> 00:11:47.543 (Laughter) NOTE Paragraph 00:11:47.567 --> 00:11:49.127 And then just to finish, 00:11:49.992 --> 00:11:52.322 going back to the two kinds of people, 00:11:52.346 --> 00:11:54.603 I thought it would be really interesting to see 00:11:54.627 --> 00:11:57.442 how people who are good with numbers would do on this quiz. 00:11:57.466 --> 00:12:00.482 The national statistician of England and Wales, John Pullinger, 00:12:00.506 --> 00:12:02.579 you would expect he would be pretty good. 00:12:03.524 --> 00:12:05.973 He got 44 for his own area. NOTE Paragraph 00:12:05.997 --> 00:12:08.465 (Laughter) NOTE Paragraph 00:12:08.489 --> 00:12:13.438 Jeremy Paxman -- admittedly, after a glass of wine -- 36. 00:12:14.051 --> 00:12:15.512 Even worse. 00:12:15.536 --> 00:12:18.737 It just shows you that the numbers can inspire us all. 00:12:18.761 --> 00:12:20.021 They can surprise us all. NOTE Paragraph 00:12:20.045 --> 00:12:22.084 So very often, we talk about statistics 00:12:22.108 --> 00:12:24.070 as being the science of uncertainty. 00:12:24.094 --> 00:12:25.876 My parting thought for today is: 00:12:25.900 --> 00:12:28.935 actually, statistics is the science of us. 00:12:28.959 --> 00:12:31.747 And that's why we should be fascinated by numbers. NOTE Paragraph 00:12:31.771 --> 00:12:32.961 Thank you very much. NOTE Paragraph 00:12:32.985 --> 00:12:36.762 (Applause)