WEBVTT 00:00:10.072 --> 00:00:11.784 Thank you very much. 00:00:12.264 --> 00:00:14.785 So in the spirit of this afternoon's conference, 00:00:14.785 --> 00:00:16.265 I want to take this opportunity 00:00:16.265 --> 00:00:19.026 to talk with you a little bit about some new work I'm doing 00:00:19.246 --> 00:00:20.397 and how it all started - 00:00:20.397 --> 00:00:23.209 because I saw a map that really freaked me out. 00:00:23.919 --> 00:00:25.752 Let me show you that map 00:00:25.752 --> 00:00:27.767 and give you a little bit of background. 00:00:27.767 --> 00:00:30.165 Just to start things off and explain, 00:00:30.165 --> 00:00:32.724 I'm a behavioral economist here at Yale. 00:00:32.724 --> 00:00:37.224 And so, one of the things I study is how people make decisions over time: 00:00:37.224 --> 00:00:39.569 So, how people think about the future 00:00:39.569 --> 00:00:42.882 and how people think about the future that influences their behavior 00:00:42.882 --> 00:00:46.878 with respect to saving, with respect to studying for your exams, 00:00:46.878 --> 00:00:50.729 with respect to sticking to a diet, with respect to quitting smoking. 00:00:51.009 --> 00:00:54.306 Now, what about this map freaked me out in particular? 00:00:54.306 --> 00:00:55.879 So let me just say this was a map 00:00:55.879 --> 00:00:58.312 that was released by the European Science Foundation 00:00:58.312 --> 00:00:59.988 in the late 1990s. 00:00:59.988 --> 00:01:03.621 And in particular what freaked me out was this area in blue. 00:01:03.621 --> 00:01:07.250 Let me put it on a different map so it's a little bit easier to recognize. 00:01:07.250 --> 00:01:10.102 What this is is a map of Northern Europe. 00:01:10.102 --> 00:01:13.473 And what really, really kind of threw me for a curve 00:01:13.473 --> 00:01:16.597 was that the European Science Foundation had released a report 00:01:16.597 --> 00:01:19.576 that a number of kind of very, very reputable researchers 00:01:19.576 --> 00:01:22.726 had claimed that all of the areas inside this blue region 00:01:22.726 --> 00:01:25.081 were utterly and totally futureless. 00:01:25.421 --> 00:01:27.618 (Laughter) 00:01:28.928 --> 00:01:31.255 That's something of an extreme statement. 00:01:32.507 --> 00:01:35.685 So I mean, as an economist, I'm someone used to, for example, 00:01:35.685 --> 00:01:38.310 making predictions that go horribly awry, 00:01:38.820 --> 00:01:41.266 but this almost takes the cake. 00:01:41.656 --> 00:01:44.526 You know, perhaps with the exception of Iceland - 00:01:44.526 --> 00:01:50.062 you can think about current European financial crisis - 00:01:50.062 --> 00:01:52.638 and the other areas inside this blue area 00:01:52.638 --> 00:01:56.557 actually are almost perfectly the countries that are doing the best. 00:01:56.784 --> 00:01:57.777 And as an economist, 00:01:57.777 --> 00:02:01.055 what I would say is it seems crazy to call these places futureless. 00:02:01.055 --> 00:02:04.207 I mean, these places are all full of countries 00:02:04.207 --> 00:02:06.304 that are saving a tremendous amount of money, 00:02:06.304 --> 00:02:08.924 households that are saving a tremendous amount of money, 00:02:08.924 --> 00:02:11.306 countries that don't have problems with their bonds 00:02:11.306 --> 00:02:14.387 and are investing a tremendous amount in public infrastructure 00:02:14.387 --> 00:02:15.391 and in the future - 00:02:15.391 --> 00:02:17.626 they just seem to care a lot about the future. 00:02:17.971 --> 00:02:20.530 What I realized that led to this confusion, though, 00:02:20.530 --> 00:02:23.673 is that the team of researchers at the European Science Foundation 00:02:23.673 --> 00:02:26.475 led by kind of a superstar named Austin Dole, 00:02:26.828 --> 00:02:29.502 they weren't talking about what an economist would mean 00:02:29.502 --> 00:02:31.468 when they say that a place is futureless, 00:02:31.468 --> 00:02:33.700 because this was a team of linguists, 00:02:33.910 --> 00:02:36.197 and what they were saying was that, in fact, 00:02:36.197 --> 00:02:40.246 not that the households in this region don't kind of care about the future, 00:02:40.246 --> 00:02:44.255 but that the languages in this region don't really talk about the future 00:02:44.255 --> 00:02:47.147 in the same way that languages outside this area talk. 00:02:47.147 --> 00:02:48.914 And what that led me to think about - 00:02:48.914 --> 00:02:51.632 which I'm going to tell you a little bit about right now - 00:02:51.632 --> 00:02:54.724 is the connection between economics, how you feel about the future 00:02:54.724 --> 00:02:57.435 and how your language forces you to talk about the future. 00:02:57.435 --> 00:03:00.350 Okay. Let me explain a little bit about what that means. 00:03:00.850 --> 00:03:03.351 So, for example - you can probably tell - 00:03:03.351 --> 00:03:04.644 I'm Chinese, 00:03:04.644 --> 00:03:07.213 and, you know, growing up I realized 00:03:07.213 --> 00:03:10.522 that Chinese families are different in many interesting ways. 00:03:10.522 --> 00:03:11.860 What's a little bit subtle - 00:03:11.860 --> 00:03:13.907 and that I didn't realize till much later - 00:03:13.907 --> 00:03:17.212 is that the Chinese language actually forces Chinese speakers 00:03:17.212 --> 00:03:21.038 to talk about families in subtly different ways. 00:03:21.038 --> 00:03:22.472 So let me give you an example. 00:03:22.472 --> 00:03:26.145 Suppose that a bunch of your friends come to you and say, 00:03:26.805 --> 00:03:28.818 "Would you like to go out for dinner?" 00:03:29.884 --> 00:03:32.077 If you were speaking English with your friends, 00:03:32.077 --> 00:03:34.175 you could say, "You know, that sounds great. 00:03:34.175 --> 00:03:36.888 I'm really, really sorry, though, I have an uncle in town, 00:03:36.888 --> 00:03:39.364 and tomorrow I'm going to go out to dinner with him." 00:03:39.781 --> 00:03:42.582 Now, if you were speaking Chinese to your friends instead, 00:03:42.582 --> 00:03:44.011 actually, Chinese the language 00:03:44.011 --> 00:03:46.776 would force you to include a lot more information 00:03:46.776 --> 00:03:48.389 that I didn't just say. 00:03:48.389 --> 00:03:52.938 So, for example, there is no general word for uncle in Chinese; 00:03:52.938 --> 00:03:54.658 instead, what you'd have to specify, 00:03:54.658 --> 00:03:57.376 what you'd be forced by your language to tell your friends 00:03:57.376 --> 00:04:00.376 is whether this was an uncle on your mother's side of the family 00:04:00.376 --> 00:04:02.096 or your father's side of the family, 00:04:02.096 --> 00:04:03.768 and in fact, you'd be forced to say 00:04:03.768 --> 00:04:06.964 whether or not this was an uncle by birth or by marriage. 00:04:08.046 --> 00:04:11.737 So, this is actually a very, very fundamental characteristic of language. 00:04:11.737 --> 00:04:13.359 And as you see up there, 00:04:13.359 --> 00:04:15.676 the linguist Roman Jakobson expressed this best 00:04:15.676 --> 00:04:19.542 when he said, "Languages differ essentially in what they must convey 00:04:19.542 --> 00:04:21.694 and not in what they may convey." 00:04:21.694 --> 00:04:24.035 So in this sense, Chinese is forcing you 00:04:24.035 --> 00:04:28.431 to say a lot to your friends about the structure of your family 00:04:28.770 --> 00:04:30.829 in ways that if you're an English speaker, 00:04:30.829 --> 00:04:33.588 you could very well think, "Well, they don't need to know," 00:04:33.588 --> 00:04:35.347 or "It's none of their business." 00:04:35.347 --> 00:04:39.413 Now, let's get back to Austin Dole and these kind of European linguists. 00:04:39.413 --> 00:04:42.506 What these linguists at the European Science Foundation discovered 00:04:42.506 --> 00:04:45.592 was that when they looked at languages across the globe, 00:04:45.592 --> 00:04:47.410 a lot of global languages, 00:04:47.410 --> 00:04:48.414 what they discovered 00:04:48.414 --> 00:04:51.170 was that languages differ in a very, very fundamental way 00:04:51.170 --> 00:04:54.581 in the ways they force their speakers to talk about the future. 00:04:54.981 --> 00:04:57.894 And they broke down languages into two rough categorizations: 00:04:57.894 --> 00:04:59.953 One - I'll call them "weak-FTR," 00:04:59.953 --> 00:05:02.357 or “weak future time reference languages” - 00:05:02.357 --> 00:05:05.033 are languages like Chinese, Finish and German, 00:05:05.033 --> 00:05:08.912 which don't force speakers, in fact, which allow speakers 00:05:08.912 --> 00:05:12.963 to speak about the future basically as if it's the present. 00:05:13.215 --> 00:05:16.774 And then other languages, like English, Greek, Italian and Russian - 00:05:16.774 --> 00:05:18.961 we'll call them "strong-FTR languages" - 00:05:18.961 --> 00:05:22.098 force speakers to grammatically realize or to speak 00:05:22.098 --> 00:05:25.495 as if the future is something viscerally different than the present. 00:05:25.843 --> 00:05:28.155 So for example, when I was just telling you 00:05:28.155 --> 00:05:32.204 how I would talk to my friends about taking my uncle out for dinner, 00:05:32.204 --> 00:05:33.780 if I were to say that in Chinese, 00:05:33.780 --> 00:05:37.610 it would be very, very kind of common and very, very easy for me to just say, 00:05:37.610 --> 00:05:40.430 ''I can't go out to dinner tomorrow. I eat with uncle,'' 00:05:41.030 --> 00:05:44.300 whereas to an English speaker, that just sounds very, very strange. 00:05:44.300 --> 00:05:47.166 Now, a lot of people when I first showed them this list 00:05:47.166 --> 00:05:48.323 think it's very strange 00:05:48.323 --> 00:05:49.852 because many people in this room 00:05:49.852 --> 00:05:52.138 probably know that English is a Germanic language 00:05:52.138 --> 00:05:54.277 and that English and German are close cousins, 00:05:54.277 --> 00:05:55.682 and yet as you can see, 00:05:55.952 --> 00:05:59.722 English and German find themselves on opposite ends of this divide. 00:06:00.660 --> 00:06:02.281 Many of you probably speak German. 00:06:02.281 --> 00:06:05.092 One way you can think about this difference is, for example, 00:06:05.092 --> 00:06:08.435 suppose I was going to try and predict precipitation for tomorrow. 00:06:09.104 --> 00:06:12.124 In German, I could very easily say "Es regnet morgen" 00:06:12.124 --> 00:06:14.362 or "Morgen regnet es" 00:06:14.402 --> 00:06:16.251 or "Morgen ist es kalt," 00:06:16.271 --> 00:06:18.359 and that sounds weird to an English speaker 00:06:18.359 --> 00:06:19.933 because what I'm literally saying 00:06:19.933 --> 00:06:21.436 is "Morning is cold" 00:06:21.436 --> 00:06:25.686 or "Tomorrow it rain" instead of "Tomorrow it will rain." 00:06:27.196 --> 00:06:31.269 Now, can this have an effect on your behavior? 00:06:31.269 --> 00:06:33.987 Can this have an effect on your economics? 00:06:33.987 --> 00:06:40.224 Well, I did what, you know, economists with a crazy idea would do, 00:06:40.224 --> 00:06:43.492 and that is quickly try and dispel myself of crazy ideas 00:06:43.492 --> 00:06:46.588 by going and looking for as much data as possible around the world 00:06:46.588 --> 00:06:48.494 and trying to hit it as hardly as I can. 00:06:48.494 --> 00:06:52.673 And let me just summarize the hypothesis that I was testing for you; 00:06:52.863 --> 00:06:53.856 that is, 00:06:53.856 --> 00:06:59.634 can languages that lead speakers to talk similarly about the present and the future 00:06:59.634 --> 00:07:00.785 lead those same speakers 00:07:00.785 --> 00:07:03.405 to feel similarly about the present and the future? 00:07:03.405 --> 00:07:04.974 Now, why might that be important? 00:07:04.974 --> 00:07:06.819 Because if that's true, 00:07:06.819 --> 00:07:10.206 then speakers of those languages should have an easier time saving, 00:07:10.206 --> 00:07:12.345 should have an easier time studying for exams, 00:07:12.375 --> 00:07:15.071 should have an easier time kind of not overeating 00:07:15.071 --> 00:07:18.040 and, for example, should have an easier time quitting smoking. 00:07:18.040 --> 00:07:21.504 Let me just say, as a broad overview, that's basically what I find. 00:07:21.504 --> 00:07:23.268 All of those pattern I just told you 00:07:23.268 --> 00:07:26.192 I find in spades in every major region of the world, 00:07:26.192 --> 00:07:29.581 and no matter of how hard you try and hit this data and make it go away, 00:07:29.581 --> 00:07:31.485 you can't get this pattern to disappear. 00:07:31.485 --> 00:07:33.147 Let's work through it a bit. 00:07:33.147 --> 00:07:35.720 These are OECD countries that I put up in front of you. 00:07:35.720 --> 00:07:36.723 What does that mean? 00:07:36.723 --> 00:07:39.916 Well, these are generally rich kind of first world countries. 00:07:39.916 --> 00:07:42.629 They tend to have open markets and be liberal democracies. 00:07:42.629 --> 00:07:45.670 We were talking a little bit about the European financial crisis. 00:07:45.670 --> 00:07:48.091 You can look all the way over there on the right - 00:07:48.091 --> 00:07:51.692 this is the average savings rate of countries over the last 25 years - 00:07:51.692 --> 00:07:54.754 and all the way over there on the right is Greece, okay? 00:07:54.754 --> 00:07:55.766 (Laughter) 00:07:55.766 --> 00:07:58.824 Saving just a little bit over 10% of their GDP, okay? 00:07:58.824 --> 00:08:00.868 So, you know, that’s not such a surprise; 00:08:00.868 --> 00:08:02.868 we know they've had a problem with savings. 00:08:02.868 --> 00:08:05.581 It's a little bit impolite to mention it in this audience, 00:08:05.581 --> 00:08:07.803 but if you noticed, we're the United States, 00:08:07.803 --> 00:08:09.410 and we’re next in line. 00:08:09.410 --> 00:08:10.640 (Laughter) 00:08:10.640 --> 00:08:12.549 Now, what I want you to notice, though - 00:08:12.549 --> 00:08:16.660 because I've colored a number of these bars in light blue - 00:08:16.660 --> 00:08:19.941 those light blue bars are those countries which speak languages 00:08:19.941 --> 00:08:23.697 that don't make a strong distinction between the present and the future, okay? 00:08:23.697 --> 00:08:25.225 And according to our hypothesis, 00:08:25.225 --> 00:08:28.563 that should make it easier to care about the future and easier to save. 00:08:28.563 --> 00:08:30.656 What we see is that's very true. 00:08:30.656 --> 00:08:33.092 Now, is this only a feature of rich countries? 00:08:33.092 --> 00:08:35.495 Is this only a feature of well-developed economies? 00:08:35.495 --> 00:08:38.836 No, here's a much larger set of countries from all over the world. 00:08:38.836 --> 00:08:42.385 And what you see this kind of downwardly sloping line indicates 00:08:42.385 --> 00:08:45.343 is that exact same pattern seems to hold, you know, 00:08:45.343 --> 00:08:47.444 basically in every major region of the world. 00:08:47.444 --> 00:08:48.546 If you speak a language 00:08:48.546 --> 00:08:51.785 that doesn't distinguish strongly between the future and the present, 00:08:51.785 --> 00:08:54.326 you just save a lot more, okay? 00:08:54.326 --> 00:08:58.413 Now, something else that this graph, well, can show you 00:08:58.413 --> 00:09:00.626 is something which provides an opportunity 00:09:00.666 --> 00:09:03.682 to hit this question much, much more hard. 00:09:03.712 --> 00:09:04.706 And what is that? 00:09:04.706 --> 00:09:06.466 Well, that is all of these countries, 00:09:06.466 --> 00:09:09.177 these seven countries you see in the middle of the screen, 00:09:09.177 --> 00:09:12.641 these are countries with multiple national languages. 00:09:12.641 --> 00:09:14.121 And what's fortunate about that 00:09:14.121 --> 00:09:17.545 is in many of these countries, they have multiple national languages 00:09:17.545 --> 00:09:19.804 and you can literally try and find families 00:09:19.804 --> 00:09:23.373 who live basically next door to each other in these countries 00:09:23.723 --> 00:09:26.002 but who speak different languages. 00:09:26.287 --> 00:09:28.048 What is that going to allow us to do? 00:09:28.048 --> 00:09:31.191 That's going to allow us to look inside countries like Switzerland, 00:09:31.191 --> 00:09:33.002 where you see people who speak German, 00:09:33.002 --> 00:09:34.530 you see people who speak French, 00:09:34.530 --> 00:09:36.104 you see people who speak Italian, 00:09:36.104 --> 00:09:38.643 and you see families that speak Romansh, 00:09:38.643 --> 00:09:42.189 and countries in totally different parts of the world, like Nigeria, 00:09:42.189 --> 00:09:46.669 where you'll find Hausa speakers living right next to Yoruba speakers 00:09:46.669 --> 00:09:49.472 living right next to Igbo speakers, okay? 00:09:50.454 --> 00:09:51.590 What am I going to do? 00:09:51.590 --> 00:09:54.136 Well, these are these kinds of - no, add up won more. 00:09:54.136 --> 00:09:57.282 You've got eight countries around the world that have this ability. 00:09:57.282 --> 00:09:58.806 And what I’m going to try and do 00:09:58.806 --> 00:10:02.136 is do what epidemiologists do and find matched pairs of families. 00:10:02.136 --> 00:10:03.137 What does that mean? 00:10:03.137 --> 00:10:05.153 Well, you could imagine - 00:10:05.153 --> 00:10:09.970 suppose I was standing up here on stage with 1.4 billion buckets, alright? 00:10:09.970 --> 00:10:13.562 And I took each one of you, and I sorted you into these buckets. 00:10:13.562 --> 00:10:14.727 Based on what? 00:10:14.727 --> 00:10:18.394 Well, based on the country that your family was born in and is living in; 00:10:18.644 --> 00:10:21.127 the sex and age of the head of the household; 00:10:21.127 --> 00:10:23.906 income - the exact income of your household; 00:10:23.906 --> 00:10:25.203 level of education; 00:10:25.203 --> 00:10:26.199 marital status - 00:10:26.199 --> 00:10:29.346 it turns out, in Europe, there're six different ways to be married; 00:10:29.346 --> 00:10:31.683 the number of children you find in your household; 00:10:31.683 --> 00:10:34.586 and finally and most powerfully, what religion you belong to - 00:10:34.586 --> 00:10:36.778 so 72 different world religions. 00:10:36.778 --> 00:10:38.709 Now, that's a lot of buckets - 00:10:38.709 --> 00:10:39.714 1.4 billion. 00:10:39.714 --> 00:10:41.049 So, if you're lucky enough, 00:10:41.049 --> 00:10:43.153 you might find yourself not alone 00:10:43.153 --> 00:10:45.738 but in a bucket with, say, one other family. 00:10:45.738 --> 00:10:47.074 That might be lucky for you. 00:10:47.074 --> 00:10:48.457 You have a lot to talk about, 00:10:48.457 --> 00:10:50.408 you have a lot in common with this family. 00:10:50.408 --> 00:10:51.991 Lucky for me as a researcher, 00:10:51.991 --> 00:10:55.180 every now and then, two families find themselves in the same bucket, 00:10:55.180 --> 00:10:58.360 but they speak languages that treat the future differently. 00:10:58.360 --> 00:11:01.218 So everything I'm going to tell you from here and now is true 00:11:01.218 --> 00:11:03.080 even when only comparing those families 00:11:03.080 --> 00:11:06.349 that are basically on every other dimension identical. 00:11:06.349 --> 00:11:07.794 What do we see? 00:11:07.794 --> 00:11:09.827 What we see is exactly what we predicted, 00:11:09.827 --> 00:11:13.346 even after you hit the data with that 1.4 billion buckets. 00:11:13.346 --> 00:11:17.236 What we see is that household that speak languages 00:11:17.236 --> 00:11:20.889 that make a very, very weak distinction between the present and the future 00:11:20.889 --> 00:11:23.813 are 30% more likely to save in any given year. 00:11:23.813 --> 00:11:26.699 Remember that's already holding their income constant. 00:11:26.699 --> 00:11:31.068 They're going to, by the time they retire, have accumulated 25% more wealth. 00:11:31.708 --> 00:11:36.215 They're going to be 24% less likely to report having smoked intensively. 00:11:36.215 --> 00:11:38.404 That's like more than a packet a day for a year 00:11:38.404 --> 00:11:40.599 at any given point in their lives. 00:11:40.599 --> 00:11:43.276 And, you know, not just kind of monetary behaviors, 00:11:43.276 --> 00:11:45.271 but think about health behaviors: 00:11:45.271 --> 00:11:49.305 they're going to be 30% less likely to be medically obese, 00:11:49.305 --> 00:11:51.985 they're going to be 24% less likely to have smoked, 00:11:52.005 --> 00:11:53.730 and on almost every dimension, 00:11:53.730 --> 00:11:56.731 they're going to be in measurably better health in the long run. 00:11:56.731 --> 00:12:01.584 So grip strength, long capacity, walking speed, all of these measures, 00:12:01.584 --> 00:12:06.646 you could imagine your cumulative ability to kind of care about your future self - 00:12:06.646 --> 00:12:09.296 eat better, exercise and restrain from smoking. 00:12:09.296 --> 00:12:11.159 All of those things seem to add up 00:12:11.159 --> 00:12:13.888 even when comparing families in the same bucket. 00:12:16.359 --> 00:12:20.314 I'd like to leave you with this: 00:12:20.964 --> 00:12:23.199 First of all, thank you very much for listening. 00:12:23.199 --> 00:12:24.576 Second of all, 00:12:24.846 --> 00:12:27.857 this is research that's really only just getting off the ground. 00:12:27.857 --> 00:12:32.150 Right now, a team of linguists, me, an economist, 00:12:32.150 --> 00:12:34.154 and a number of psychologists here in Yale 00:12:34.154 --> 00:12:35.257 are running experiments 00:12:35.257 --> 00:12:38.042 to try and identify exactly the psychological mechanisms 00:12:38.042 --> 00:12:40.373 by which these kinds of relationships are working. 00:12:40.373 --> 00:12:43.732 And I invite you all to come to my website and kind of keep up to date 00:12:43.732 --> 00:12:46.119 with what I think is a really exciting new project, 00:12:46.119 --> 00:12:49.198 investigating what economists have to learn from linguists. 00:12:49.408 --> 00:12:50.478 Thank you very much! 00:12:50.478 --> 00:12:53.962 (Applause) (Cheers)