1 00:00:15,476 --> 00:00:24,996 Speaker 1: Pushkin. We're finally winding down our series on My favorite 2 00:00:24,996 --> 00:00:28,236 Speaker 1: books of twenty twenty five, and today's favorite book. Choice 3 00:00:28,236 --> 00:00:30,396 Speaker 1: deals with the problem that I struggle with a lot, 4 00:00:30,796 --> 00:00:34,076 Speaker 1: how to make better decisions. Our happiness is shaped by 5 00:00:34,076 --> 00:00:37,836 Speaker 1: the choices we make within the circumstances we're given. Sometimes 6 00:00:37,836 --> 00:00:40,796 Speaker 1: those choices feel obvious, like whether to open a window 7 00:00:40,836 --> 00:00:43,396 Speaker 1: when the room you're in is feeling stuffy, or whether 8 00:00:43,436 --> 00:00:45,756 Speaker 1: to grab a glass of water if you're feeling parched. 9 00:00:46,436 --> 00:00:49,356 Speaker 1: But bigger life decisions like who to marry, which career 10 00:00:49,396 --> 00:00:52,276 Speaker 1: path to follow, or where to live, can feel paralyzing. 11 00:00:52,796 --> 00:00:55,556 Speaker 1: And that kind of makes sense. The bigger the choice, 12 00:00:55,676 --> 00:00:58,236 Speaker 1: the greater it's potential to impact your life and your 13 00:00:58,236 --> 00:01:00,796 Speaker 1: well being. So what do you do when you're faced 14 00:01:00,796 --> 00:01:03,036 Speaker 1: with a big decision? How do you make the most 15 00:01:03,036 --> 00:01:05,756 Speaker 1: happiness inducing choice? Do you talk it through with a 16 00:01:05,756 --> 00:01:08,316 Speaker 1: loved one or therapist. Do you make a big list 17 00:01:08,356 --> 00:01:11,236 Speaker 1: of pros and con do you flip a coin? Well, 18 00:01:11,276 --> 00:01:12,916 Speaker 1: today's guest has some advice. 19 00:01:13,356 --> 00:01:17,196 Speaker 2: Hi. My name is Barry Schwartz. I'm a psychologist. I 20 00:01:17,356 --> 00:01:21,636 Speaker 2: spent forty five years teaching at a place called Swarthmore 21 00:01:21,676 --> 00:01:26,796 Speaker 2: College outside of Philadelphia. Then retired and moved to Oakland. 22 00:01:27,396 --> 00:01:30,716 Speaker 2: My interests for many, many years have been on the 23 00:01:30,756 --> 00:01:36,276 Speaker 2: intersection of economics and psychology, focused on how people make 24 00:01:36,316 --> 00:01:39,196 Speaker 2: decisions and also how they should make decisions. 25 00:01:39,516 --> 00:01:41,396 Speaker 1: Berry's been a guest on the Happiness Lab a few 26 00:01:41,436 --> 00:01:44,036 Speaker 1: times because I'm a huge fan of his work, so 27 00:01:44,116 --> 00:01:45,996 Speaker 1: I was super excited to see that he had a 28 00:01:46,036 --> 00:01:49,036 Speaker 1: new book out about how to make tough decisions. It's 29 00:01:49,036 --> 00:01:53,476 Speaker 1: called Choose Wisely, Rationality, Ethics, and the Art of Decision Making. 30 00:01:54,116 --> 00:01:57,716 Speaker 1: It's co authored with Barry's former Swarthmore colleague, the philosopher 31 00:01:57,916 --> 00:02:01,436 Speaker 1: Richard Schuldenfry. I wanted to start a conversation about choosing 32 00:02:01,476 --> 00:02:05,156 Speaker 1: Wisely with some definitions. So my first question to Barry 33 00:02:05,196 --> 00:02:07,076 Speaker 1: was what makes a decision good? 34 00:02:07,476 --> 00:02:10,916 Speaker 2: So a good decision is one that gets you to 35 00:02:11,836 --> 00:02:13,796 Speaker 2: things that enable you to live a good life. 36 00:02:14,196 --> 00:02:16,996 Speaker 1: I would say, seems like you're pretty good at making 37 00:02:16,996 --> 00:02:19,636 Speaker 1: decisions that enable you to live a good life. You've 38 00:02:19,636 --> 00:02:21,556 Speaker 1: been with your wife for a long time, I think 39 00:02:21,556 --> 00:02:23,876 Speaker 1: you said in your book since seventh grade, and you 40 00:02:23,956 --> 00:02:27,236 Speaker 1: spent half your life at one university. Has this always 41 00:02:27,316 --> 00:02:29,476 Speaker 1: come easy to you? Or are there decisions that you 42 00:02:29,516 --> 00:02:30,356 Speaker 1: really struggle with? 43 00:02:30,436 --> 00:02:34,756 Speaker 2: Too. There are very few decisions that I have struggled with. 44 00:02:35,356 --> 00:02:38,076 Speaker 2: There are people who, at least some of the time, 45 00:02:38,316 --> 00:02:41,076 Speaker 2: think their task is to get the best out of 46 00:02:41,076 --> 00:02:44,956 Speaker 2: whatever situation they're in. We call them maximizers. And there 47 00:02:44,956 --> 00:02:48,396 Speaker 2: are people who aspire to good enough. And they may 48 00:02:48,436 --> 00:02:51,276 Speaker 2: have low standards with respect to some things and high 49 00:02:51,316 --> 00:02:55,476 Speaker 2: standards with respect to other things. But whatever their standards are, 50 00:02:55,516 --> 00:02:57,516 Speaker 2: as soon as they find something that meets them, they 51 00:02:57,516 --> 00:03:01,876 Speaker 2: stop looking. I have always been that way. The question 52 00:03:01,996 --> 00:03:06,236 Speaker 2: in my mind was always is this good enough? And sometimes, 53 00:03:06,276 --> 00:03:09,396 Speaker 2: you know, I was pleasantly surprised. I chose good enough 54 00:03:09,396 --> 00:03:12,036 Speaker 2: and it turned out it was spectacular. But I wasn't 55 00:03:12,116 --> 00:03:15,396 Speaker 2: looking for perfect. I was looking for good enough. And 56 00:03:15,436 --> 00:03:19,996 Speaker 2: that makes decision making a lot easier. And that is 57 00:03:20,196 --> 00:03:24,476 Speaker 2: especially true in the modern world. You know, one hundred 58 00:03:24,556 --> 00:03:28,196 Speaker 2: years ago, there wasn't much difference between looking for the 59 00:03:28,196 --> 00:03:30,636 Speaker 2: best and looking for good enough because it just weren't 60 00:03:30,636 --> 00:03:33,956 Speaker 2: that many options. But now you could spend your whole 61 00:03:33,996 --> 00:03:37,036 Speaker 2: life looking for the best pair of jeans, or you know, 62 00:03:37,156 --> 00:03:40,556 Speaker 2: the best restaurant in the New York metropolitan area, or 63 00:03:40,596 --> 00:03:44,476 Speaker 2: what have you, and you'd end up dying naked and starving. 64 00:03:44,876 --> 00:03:47,036 Speaker 1: You had this experience yourself, though, even as a good 65 00:03:47,036 --> 00:03:50,196 Speaker 1: decision maker, trying to buy jeans one time, I remember. 66 00:03:50,036 --> 00:03:53,676 Speaker 2: It shows you how seductive it is for somebody like me. 67 00:03:54,356 --> 00:03:56,276 Speaker 2: You know, I used to buy jeans. I wore jeans 68 00:03:56,276 --> 00:03:58,316 Speaker 2: every day, and I would buy them when the old 69 00:03:58,356 --> 00:04:00,956 Speaker 2: pair wore out, when my life was embarrassed to be 70 00:04:00,996 --> 00:04:02,996 Speaker 2: seen in public with me, you know, because I didn't 71 00:04:03,116 --> 00:04:05,756 Speaker 2: like shopping for jeans. They were uncomfortable when you first 72 00:04:05,796 --> 00:04:08,156 Speaker 2: bought them, they had to wash them a million times. 73 00:04:08,476 --> 00:04:10,476 Speaker 2: So anyway, I went to the gap, which is where 74 00:04:10,476 --> 00:04:13,436 Speaker 2: I bought my jeans, and I told them my size, 75 00:04:13,756 --> 00:04:16,676 Speaker 2: and the clerk said, you want slim fit, easy fit, 76 00:04:17,036 --> 00:04:21,836 Speaker 2: relax fit, buttonflies, zip or fly boot cut, and I said, 77 00:04:21,956 --> 00:04:24,476 Speaker 2: I want the kind that used to be the only kind, 78 00:04:25,196 --> 00:04:28,636 Speaker 2: which of course they didn't make anymore. So I ended 79 00:04:28,676 --> 00:04:32,236 Speaker 2: up trying on all these different styles, thinking well, if 80 00:04:32,276 --> 00:04:34,836 Speaker 2: they go to the trouble of making them, I should 81 00:04:34,876 --> 00:04:37,196 Speaker 2: go to the trouble of trying them. And I walked 82 00:04:37,236 --> 00:04:39,556 Speaker 2: out with the best fitting jeans I had ever had, 83 00:04:40,116 --> 00:04:43,676 Speaker 2: and I felt worse. And the reason I felt worse 84 00:04:43,916 --> 00:04:47,076 Speaker 2: is that what happened when there were all these options. 85 00:04:47,596 --> 00:04:51,276 Speaker 2: Is that my standards for what counted as a good 86 00:04:51,476 --> 00:04:55,516 Speaker 2: result went up. You know, when all there was one 87 00:04:55,596 --> 00:04:58,716 Speaker 2: kind of genes, only an idiot would expect perfection, an 88 00:04:58,756 --> 00:05:02,076 Speaker 2: idiot or model. But I'm not an idiot and I'm 89 00:05:02,116 --> 00:05:05,476 Speaker 2: not a model, So you know, good enough was good enough. 90 00:05:05,596 --> 00:05:07,796 Speaker 2: But now when I see them making them in all 91 00:05:07,796 --> 00:05:12,156 Speaker 2: these different cuts styles, I expect better than good enough. 92 00:05:12,556 --> 00:05:15,556 Speaker 2: So what I got was good, but it wasn't perfect, 93 00:05:15,756 --> 00:05:18,796 Speaker 2: and so I ended up feeling like I had failed. 94 00:05:19,436 --> 00:05:23,636 Speaker 2: And it occurred to me that this is life for 95 00:05:24,076 --> 00:05:29,916 Speaker 2: people in rich, democratic societies, and it is incredibly wasteful 96 00:05:30,436 --> 00:05:35,876 Speaker 2: of resources, and it is incredibly detrimental to people's well being. 97 00:05:36,156 --> 00:05:38,156 Speaker 1: I think another thing that happens in the modern day 98 00:05:38,196 --> 00:05:41,716 Speaker 1: isn't just that we have this like incredible overwhelm of choice, 99 00:05:41,756 --> 00:05:44,316 Speaker 1: you know, BOOKA and super Fly, all this stuff with jeans. 100 00:05:44,716 --> 00:05:46,956 Speaker 1: We also live in a world where we get lots 101 00:05:46,996 --> 00:05:50,276 Speaker 1: of information about them too. I'm experiencing this because I'm 102 00:05:50,276 --> 00:05:52,716 Speaker 1: trying to buy a new projector. You know, we used 103 00:05:52,716 --> 00:05:54,436 Speaker 1: to have a projector that we watch movies on the 104 00:05:54,436 --> 00:05:57,756 Speaker 1: projector just died, and so I go on the web. 105 00:05:57,996 --> 00:06:00,956 Speaker 1: There's millions of projectors. But it's not just the choice. 106 00:06:01,276 --> 00:06:03,316 Speaker 1: It feels to me also like it's the information that's 107 00:06:03,356 --> 00:06:05,836 Speaker 1: out there. So first I go on you know, Wirecutter, 108 00:06:05,916 --> 00:06:08,316 Speaker 1: the New York Times, and then I see a million 109 00:06:08,316 --> 00:06:11,716 Speaker 1: different views that people have. It feels like I'm supposed 110 00:06:11,756 --> 00:06:14,516 Speaker 1: to be optimizing, because otherwise, why would there be not 111 00:06:14,556 --> 00:06:16,516 Speaker 1: just so much choice, but so much information about my 112 00:06:16,596 --> 00:06:17,476 Speaker 1: choices out there? 113 00:06:17,676 --> 00:06:21,636 Speaker 2: You're exactly right. It's like only an idiot would fail 114 00:06:21,796 --> 00:06:26,236 Speaker 2: to take advantage of all the variety and all the information. 115 00:06:26,796 --> 00:06:31,356 Speaker 2: There's enormous pressure. You know, satisficing is good enough. The 116 00:06:31,396 --> 00:06:33,836 Speaker 2: way people hear that when I give talks about this 117 00:06:34,196 --> 00:06:39,636 Speaker 2: is satisficing is settling. The word settling is not neutral. 118 00:06:40,076 --> 00:06:44,716 Speaker 2: When people describe you as settling, they're criticizing. Why would 119 00:06:44,756 --> 00:06:49,596 Speaker 2: you set? And of course you're right. Nowadays, the information 120 00:06:49,956 --> 00:06:54,396 Speaker 2: and misinformation is so abundant, you know, it's effortless. When 121 00:06:54,436 --> 00:06:57,396 Speaker 2: I was applying to college one hundred years ago, you'd 122 00:06:57,436 --> 00:06:59,836 Speaker 2: send off to a college and they'd send you their 123 00:07:00,276 --> 00:07:05,796 Speaker 2: course catalog which was incomprehensible, and you know, a million 124 00:07:05,876 --> 00:07:08,876 Speaker 2: pages thick, but that's what you got. So you had 125 00:07:08,876 --> 00:07:11,276 Speaker 2: to do decide where to apply to college as a 126 00:07:11,476 --> 00:07:16,116 Speaker 2: seventeen year old with this incredibly unwieldy information and it 127 00:07:16,156 --> 00:07:19,836 Speaker 2: took weeks for it to come. So how many colleges 128 00:07:19,876 --> 00:07:22,556 Speaker 2: you're going to apply to given how effortful it is 129 00:07:22,596 --> 00:07:25,676 Speaker 2: to get information that is then effortful to make sense of. 130 00:07:26,356 --> 00:07:29,276 Speaker 2: Is that the world we live in now? Absolutely not. 131 00:07:29,516 --> 00:07:32,116 Speaker 2: You can get all the information you want about every 132 00:07:32,236 --> 00:07:35,916 Speaker 2: college in the United States in a half hour, So 133 00:07:35,996 --> 00:07:37,316 Speaker 2: why not take advantage? 134 00:07:37,956 --> 00:07:39,916 Speaker 1: Yeah, I think this idea that we need to optimize 135 00:07:39,916 --> 00:07:42,836 Speaker 1: everything is just the kind of current culture, right, But 136 00:07:42,876 --> 00:07:44,876 Speaker 1: this is also something that economists have been telling us 137 00:07:44,876 --> 00:07:47,596 Speaker 1: for a long time. There's this idea that we're supposed 138 00:07:47,676 --> 00:07:50,276 Speaker 1: to optimize our decisions. And so in your book you 139 00:07:50,356 --> 00:07:53,236 Speaker 1: review this kind of classic formula that we use to 140 00:07:53,476 --> 00:07:56,476 Speaker 1: make rational decisions. Tell me what this formula is and 141 00:07:56,516 --> 00:07:58,356 Speaker 1: explain why you've pushed against it so much. 142 00:07:58,556 --> 00:08:02,916 Speaker 2: Sure, so, what we've inherited from economics is the idea 143 00:08:02,996 --> 00:08:06,196 Speaker 2: that a good decision is one that maximizes utility. 144 00:08:06,636 --> 00:08:09,636 Speaker 1: And maybe just define for listeners who are totally unfamiliar 145 00:08:09,676 --> 00:08:10,196 Speaker 1: with this stuff. 146 00:08:10,276 --> 00:08:15,036 Speaker 2: Yeah, utility is whatever you think it is. So you 147 00:08:15,156 --> 00:08:18,636 Speaker 2: decide what's worth what you know you may be turned 148 00:08:18,636 --> 00:08:21,516 Speaker 2: on by esthetics, and I may be turned on by 149 00:08:21,556 --> 00:08:24,076 Speaker 2: the size of my bank account, and somebody else may 150 00:08:24,116 --> 00:08:26,996 Speaker 2: be turned on by being able to hit tennis. Ass 151 00:08:27,116 --> 00:08:30,676 Speaker 2: whatever it is, you should be choosing in a way 152 00:08:30,716 --> 00:08:35,196 Speaker 2: that maximizes that thing for you, and then you go 153 00:08:35,436 --> 00:08:38,316 Speaker 2: through the world making decisions so that you get the 154 00:08:38,316 --> 00:08:41,756 Speaker 2: most utility out of every decision that you possibly can. 155 00:08:42,356 --> 00:08:46,276 Speaker 2: So rational choice theory grows out of economics. It's been 156 00:08:46,316 --> 00:08:49,596 Speaker 2: around for a very long time, and it makes good 157 00:08:49,636 --> 00:08:53,756 Speaker 2: intuitive sense. If your goal when you're making a decision 158 00:08:53,876 --> 00:08:58,276 Speaker 2: is to maximize utility, then for every option you face, 159 00:08:58,436 --> 00:09:02,596 Speaker 2: you need to know two things. One how good will 160 00:09:02,596 --> 00:09:07,796 Speaker 2: it be? How util will it be? Two? How likely 161 00:09:07,916 --> 00:09:09,996 Speaker 2: is it that if I choose it, it'll actually be 162 00:09:10,036 --> 00:09:13,236 Speaker 2: as good as I think? Because the world is uncertain, 163 00:09:13,956 --> 00:09:16,996 Speaker 2: very much analogous to the bets we make in a casino, 164 00:09:17,676 --> 00:09:20,116 Speaker 2: you need to know two things, how much will I 165 00:09:20,236 --> 00:09:24,036 Speaker 2: win and how likely am I to win it. You 166 00:09:24,196 --> 00:09:27,476 Speaker 2: multiply those two things together and you get a quote 167 00:09:27,556 --> 00:09:32,396 Speaker 2: expected utility, and then you simply choose the option that 168 00:09:32,436 --> 00:09:36,836 Speaker 2: has the highest expected utility. And that's the way you're 169 00:09:36,876 --> 00:09:39,956 Speaker 2: supposed to go through life. The thing to notice is 170 00:09:39,996 --> 00:09:43,316 Speaker 2: that it assumes that the decisions we make are like 171 00:09:43,396 --> 00:09:46,316 Speaker 2: decisions we might make in a casino, that there are 172 00:09:46,436 --> 00:09:50,836 Speaker 2: numbers that can be attached to the value of each outcome, 173 00:09:51,436 --> 00:09:53,556 Speaker 2: and there are numbers that can be attached to the 174 00:09:53,836 --> 00:09:57,556 Speaker 2: likelihood of getting that value, so you know there's no 175 00:09:57,716 --> 00:10:02,236 Speaker 2: uncertainty when you're playing roulette or blackjack. You can attach 176 00:10:02,356 --> 00:10:06,756 Speaker 2: both potential gains and probabilities to all those gamps. That's 177 00:10:06,796 --> 00:10:10,036 Speaker 2: the way the games are set up. Using your college, 178 00:10:10,316 --> 00:10:12,796 Speaker 2: deciding what to do for the weekend, deciding who to 179 00:10:12,876 --> 00:10:16,316 Speaker 2: interview on your podcast don't seem to be like that, 180 00:10:16,716 --> 00:10:20,116 Speaker 2: but the push from economics is find a way to 181 00:10:20,236 --> 00:10:25,116 Speaker 2: quantify and you will enhance your rationality. So that has 182 00:10:25,156 --> 00:10:28,636 Speaker 2: been the normative standard for a century. What happens is 183 00:10:28,636 --> 00:10:31,436 Speaker 2: that your science moves in the wrong direction, and then 184 00:10:31,556 --> 00:10:35,476 Speaker 2: social institutions move in the same direction, and before you 185 00:10:35,556 --> 00:10:37,756 Speaker 2: know it, it got like fish not knowing they live 186 00:10:37,796 --> 00:10:40,636 Speaker 2: in water. It's hard to imagine there's another way to 187 00:10:40,756 --> 00:10:43,476 Speaker 2: organize your life and another set of things to care about. 188 00:10:43,876 --> 00:10:48,556 Speaker 2: So you know, rational choice theory is probably not a 189 00:10:48,676 --> 00:10:52,676 Speaker 2: phrase that is familiar to most people, but I think 190 00:10:52,716 --> 00:10:56,036 Speaker 2: the way they think you're supposed to make decisions is 191 00:10:56,316 --> 00:11:00,636 Speaker 2: an embodiment of rational choice theory with some of the 192 00:11:00,716 --> 00:11:03,876 Speaker 2: rough edges sort of sanded down a little bit. And 193 00:11:03,956 --> 00:11:06,756 Speaker 2: the point of the new book, which is called Choose Wisely, 194 00:11:07,196 --> 00:11:11,796 Speaker 2: is that rational choice theory is a disastrous standard to 195 00:11:11,956 --> 00:11:16,116 Speaker 2: use because most of the decisions we make, even minor 196 00:11:16,196 --> 00:11:20,836 Speaker 2: ones and certainly major ones, are nothing like casino gambles. 197 00:11:21,036 --> 00:11:22,756 Speaker 1: So in your book, you tell some of these powerful 198 00:11:22,756 --> 00:11:25,636 Speaker 1: stories of like how bad this rational choice theory, or 199 00:11:25,636 --> 00:11:28,556 Speaker 1: maybe like even this cost benefit analysis. Is you tell 200 00:11:28,596 --> 00:11:31,596 Speaker 1: a story about Robert McNamara during the Vietnam War. Can 201 00:11:31,636 --> 00:11:34,716 Speaker 1: you share that example and why it illustrates why reducing 202 00:11:34,796 --> 00:11:37,476 Speaker 1: choice to all these kinds of numbers might be so dangerous, 203 00:11:37,716 --> 00:11:39,036 Speaker 1: So for people. 204 00:11:38,796 --> 00:11:40,916 Speaker 2: In your audience who are not one hundred years old, 205 00:11:41,436 --> 00:11:45,236 Speaker 2: the United States fought a war in Vietnam. Got to 206 00:11:45,276 --> 00:11:48,316 Speaker 2: start at the beginning. It was a guerrilla war, or 207 00:11:48,316 --> 00:11:51,036 Speaker 2: what has come to be called an asymmetric war. We 208 00:11:51,116 --> 00:11:55,156 Speaker 2: had our army and big weapons, and they were fighting 209 00:11:55,236 --> 00:11:59,596 Speaker 2: in a jungle. And McNamara, who had been the head 210 00:11:59,596 --> 00:12:03,476 Speaker 2: of the Ford Motor Company, had this idea that the 211 00:12:03,516 --> 00:12:08,276 Speaker 2: way to make decisions is to rationalize and by rationalize, 212 00:12:08,316 --> 00:12:10,956 Speaker 2: he meant we ate a framework where you can do 213 00:12:11,076 --> 00:12:15,396 Speaker 2: cost benefit calculations, and then the right strategy is the 214 00:12:15,436 --> 00:12:19,356 Speaker 2: one that will produce the highest benefit per unit of cost. 215 00:12:19,916 --> 00:12:24,956 Speaker 2: So he was trying to industrialize the war. He imposed 216 00:12:24,996 --> 00:12:29,516 Speaker 2: those standards up and down the military hierarchy, and it 217 00:12:29,636 --> 00:12:33,516 Speaker 2: was a disaster. Now, the thing about an asymmetric war 218 00:12:34,116 --> 00:12:37,116 Speaker 2: is it's really hard to know who's winning. It's not 219 00:12:37,156 --> 00:12:41,316 Speaker 2: like you're gaining territory of twenty forty square miles. It's 220 00:12:41,396 --> 00:12:45,276 Speaker 2: really hard to know who's winning. So some brilliant person 221 00:12:45,356 --> 00:12:48,196 Speaker 2: had the idea that we needed a proxy for winning, 222 00:12:48,836 --> 00:12:53,636 Speaker 2: and what's a good proxy for winning casualties. If they're 223 00:12:53,676 --> 00:12:57,076 Speaker 2: losing more soldiers than we are, we must be winning. 224 00:12:57,716 --> 00:13:04,196 Speaker 2: The strategy changed to maximize enemy casualties, whether or not 225 00:13:04,396 --> 00:13:08,036 Speaker 2: they had any strategic advantage, and so now we were 226 00:13:08,116 --> 00:13:12,796 Speaker 2: just out for blood, independent of the strategic advantages that 227 00:13:13,356 --> 00:13:17,556 Speaker 2: extracting that blood might have caused. And that, it strikes me, 228 00:13:17,756 --> 00:13:21,356 Speaker 2: is the danger of taking rational choice theory too seriously. 229 00:13:21,916 --> 00:13:25,836 Speaker 2: The press to be able to quantify pushes you in 230 00:13:25,916 --> 00:13:31,276 Speaker 2: the direction of measuring what you can and pretending that 231 00:13:31,316 --> 00:13:33,396 Speaker 2: what you measure is what you care about. 232 00:13:33,956 --> 00:13:37,036 Speaker 1: But if quantifying costs and benefits isn't the answer to 233 00:13:37,076 --> 00:13:41,196 Speaker 1: life's big decisions, then what is. After the break, Barya 234 00:13:41,236 --> 00:13:43,916 Speaker 1: will share his method for making tough choices that can 235 00:13:43,996 --> 00:13:46,876 Speaker 1: lead to greater well being. The Happiness Lab will be 236 00:13:46,916 --> 00:13:57,916 Speaker 1: back in a moment. Psychologist Barry Schwartz is on a 237 00:13:57,956 --> 00:14:01,076 Speaker 1: mission to help us make better choices and ultimately to 238 00:14:01,116 --> 00:14:04,556 Speaker 1: live better lives. In his new book, Choose Wisely, he 239 00:14:04,596 --> 00:14:07,516 Speaker 1: and his co author Richard Schildenfry argue that we need 240 00:14:07,556 --> 00:14:10,836 Speaker 1: to forget the notion of quantifif buying happiness, a claim 241 00:14:10,956 --> 00:14:14,716 Speaker 1: that's pretty revolutionary in the field of decision science. After all, 242 00:14:14,916 --> 00:14:18,116 Speaker 1: even the father of behavioral economics, the Nobel Prize winning 243 00:14:18,196 --> 00:14:21,676 Speaker 1: Danny Kahneman, was famous for trying to measure happiness objectively. 244 00:14:22,276 --> 00:14:24,756 Speaker 1: I asked Barry to explain the context in which conoman 245 00:14:24,836 --> 00:14:27,396 Speaker 1: developed this method and what he and his co author 246 00:14:27,556 --> 00:14:28,196 Speaker 1: thought about it. 247 00:14:28,476 --> 00:14:31,796 Speaker 2: The idea is that when you ask people something like 248 00:14:31,916 --> 00:14:35,556 Speaker 2: all things considered, how happy are you, what they're likely 249 00:14:35,636 --> 00:14:39,036 Speaker 2: to tell you is about what experience they had in 250 00:14:39,076 --> 00:14:43,796 Speaker 2: the last fifteen minutes. So it's really very hard to 251 00:14:43,956 --> 00:14:47,396 Speaker 2: use a global question like that to get into the 252 00:14:47,476 --> 00:14:52,436 Speaker 2: details and so what works better is having people essentially 253 00:14:52,556 --> 00:14:55,956 Speaker 2: list the activities that they've engaged in in the course 254 00:14:55,956 --> 00:14:58,436 Speaker 2: of the last twenty four hours, forty eight hours, what 255 00:14:58,636 --> 00:15:02,316 Speaker 2: have you, and then ask them for each activity, on 256 00:15:02,356 --> 00:15:05,796 Speaker 2: a say, a five point scale, how much satisfaction gave them, 257 00:15:05,836 --> 00:15:08,716 Speaker 2: how happy it made them, And in this way you 258 00:15:08,756 --> 00:15:13,676 Speaker 2: can build up the atoms of happiness. So what he 259 00:15:13,796 --> 00:15:18,356 Speaker 2: was looking for was what he called objective happiness, and 260 00:15:18,436 --> 00:15:24,636 Speaker 2: the idea was that happiness objectively is simply the collection 261 00:15:24,956 --> 00:15:29,436 Speaker 2: of moments. How you feel at every moment, put together 262 00:15:29,876 --> 00:15:32,516 Speaker 2: is the sum total of your happiness in that period 263 00:15:32,556 --> 00:15:34,956 Speaker 2: of time. So that's what he was trying to do, 264 00:15:35,116 --> 00:15:39,716 Speaker 2: was to turn a subjective measure into an objective measure. 265 00:15:40,276 --> 00:15:43,356 Speaker 2: And he acknowledged that it was not the final word 266 00:15:43,716 --> 00:15:47,916 Speaker 2: on happiness, but he thought, you know, you don't get 267 00:15:47,956 --> 00:15:51,676 Speaker 2: molecules without atoms, and what he was trying to do 268 00:15:51,716 --> 00:15:56,596 Speaker 2: was develop a way of understanding the atoms of happiness. 269 00:15:57,116 --> 00:16:00,556 Speaker 2: And Schulanfry, who was a philosopher, thought this was the 270 00:16:00,596 --> 00:16:05,676 Speaker 2: most ludicrous enterprise in the world, although he also had 271 00:16:05,876 --> 00:16:09,876 Speaker 2: enormous respect for Kanneman's work. It was like, how could 272 00:16:09,876 --> 00:16:13,036 Speaker 2: somebody that's smart have such a dumb idea. 273 00:16:13,316 --> 00:16:14,836 Speaker 1: I mean, I think part of it is that, you know, 274 00:16:15,036 --> 00:16:17,356 Speaker 1: Danny came from this tradition thought that they had to 275 00:16:17,356 --> 00:16:19,836 Speaker 1: figure out what the rational path was. And I think 276 00:16:19,916 --> 00:16:21,876 Speaker 1: Danny was maybe seduced by a different version. 277 00:16:21,916 --> 00:16:22,076 Speaker 2: Right. 278 00:16:22,116 --> 00:16:24,316 Speaker 1: He wanted to do the physics of happiness. We'll find 279 00:16:24,316 --> 00:16:26,916 Speaker 1: the atoms of happiness and put them all together, that's right. 280 00:16:27,476 --> 00:16:30,156 Speaker 2: And ideally, if you find the atoms of happiness, you 281 00:16:30,196 --> 00:16:35,196 Speaker 2: can then improve happiness by doing formulating social policies that 282 00:16:35,356 --> 00:16:38,436 Speaker 2: increase the atoms of happiness. You know, you can't make 283 00:16:38,516 --> 00:16:41,876 Speaker 2: progress unless you know what progress is going to look like. 284 00:16:42,476 --> 00:16:46,916 Speaker 2: So he had that standard of rigor and precision, and 285 00:16:46,956 --> 00:16:49,476 Speaker 2: what he was trying to do is adapted to a 286 00:16:49,596 --> 00:16:54,556 Speaker 2: much fuzzier concept with the understanding that eventually it would 287 00:16:54,596 --> 00:16:58,516 Speaker 2: get built out into its full complexity. 288 00:16:59,116 --> 00:17:00,876 Speaker 1: And so talk to me about why you and shulden 289 00:17:00,916 --> 00:17:03,916 Speaker 1: Frey don't think this approach works kind of atomizing happiness 290 00:17:03,956 --> 00:17:04,276 Speaker 1: this way. 291 00:17:04,796 --> 00:17:08,956 Speaker 2: First of all, a lot depends on what you think 292 00:17:09,436 --> 00:17:14,676 Speaker 2: happiness means. And if you have what could be called 293 00:17:14,676 --> 00:17:19,476 Speaker 2: the smiley face view of happiness, then, for all I know, 294 00:17:19,836 --> 00:17:25,076 Speaker 2: Connoman's approach made perfectly good sense there are easy ways 295 00:17:25,156 --> 00:17:29,756 Speaker 2: to get that smiley face. Taking drugs is probably the 296 00:17:29,836 --> 00:17:33,316 Speaker 2: easiest way to get that smiley face and have it 297 00:17:33,476 --> 00:17:36,836 Speaker 2: all the time until you die. So you need to 298 00:17:36,956 --> 00:17:40,436 Speaker 2: start by asking what does it mean to be happy? 299 00:17:41,036 --> 00:17:45,116 Speaker 2: You know what Aristotle call you diamonia, which is real 300 00:17:45,236 --> 00:17:50,356 Speaker 2: happiness has to do with living a good life, with achieving, 301 00:17:50,916 --> 00:17:55,356 Speaker 2: with going somewhere, with doing things that are meaningful, and 302 00:17:55,516 --> 00:17:58,556 Speaker 2: much of the time what it takes for that to 303 00:17:58,716 --> 00:18:03,036 Speaker 2: happen is going to make you unhappy smiley face wise, 304 00:18:03,236 --> 00:18:05,796 Speaker 2: you know, if you want to be the best professional 305 00:18:05,876 --> 00:18:08,876 Speaker 2: basketball player in the world, you spend twenty hours a 306 00:18:08,876 --> 00:18:11,916 Speaker 2: week in the weight room. I'm not one of those people, 307 00:18:12,196 --> 00:18:16,596 Speaker 2: but I'm guessing that nobody likes spending twenty hours a 308 00:18:16,596 --> 00:18:20,516 Speaker 2: week in the wave room. What they do like is 309 00:18:20,676 --> 00:18:26,396 Speaker 2: becoming excellent at something that is significant and meaningful to them, 310 00:18:26,796 --> 00:18:30,036 Speaker 2: and they will suffer in the service of something else 311 00:18:30,076 --> 00:18:35,796 Speaker 2: that's bigger. So when you molecularize happiness the way Kanaman did, 312 00:18:36,036 --> 00:18:38,516 Speaker 2: just as a first step, what you're doing is you're 313 00:18:38,556 --> 00:18:43,516 Speaker 2: getting people to focus down on these little and almost 314 00:18:43,556 --> 00:18:48,196 Speaker 2: certainly irrelevant details of minute by minute and day to 315 00:18:48,276 --> 00:18:52,276 Speaker 2: day experience as if that's what they should be pursuing 316 00:18:52,876 --> 00:18:57,276 Speaker 2: rather than these larger objectives. Again, I don't think he 317 00:18:57,396 --> 00:18:59,396 Speaker 2: thought it was ever going to be the last word. 318 00:18:59,916 --> 00:19:03,996 Speaker 2: He says that explicitly. But the trouble is that what 319 00:19:04,156 --> 00:19:06,996 Speaker 2: often happens in science is that you never get very 320 00:19:06,996 --> 00:19:11,316 Speaker 2: far past the first word and building this great, big 321 00:19:11,396 --> 00:19:15,796 Speaker 2: structure out of these atoms. It doesn't happen. You spend 322 00:19:15,876 --> 00:19:18,516 Speaker 2: all your time with the atoms and not with the structure. 323 00:19:18,596 --> 00:19:22,396 Speaker 2: And this is especially true when the things you think 324 00:19:22,516 --> 00:19:27,756 Speaker 2: matter most are not quantifiable in the way that you 325 00:19:28,036 --> 00:19:30,836 Speaker 2: think a science should be quantifiable. 326 00:19:31,076 --> 00:19:33,276 Speaker 1: So trying to measure happiness in terms of these tiny 327 00:19:33,316 --> 00:19:35,396 Speaker 1: atoms doesn't seem to work. How do you think we 328 00:19:35,436 --> 00:19:36,756 Speaker 1: should be measuring happiness? 329 00:19:37,356 --> 00:19:39,916 Speaker 2: Well, So, when you're applying to college, we spend a 330 00:19:39,916 --> 00:19:44,116 Speaker 2: lot of time in the book following this apocryphal young 331 00:19:44,156 --> 00:19:47,836 Speaker 2: woman named Mia as she decides should I go to college? 332 00:19:47,876 --> 00:19:49,996 Speaker 2: Where should I go to college? Why am I going 333 00:19:50,036 --> 00:19:53,116 Speaker 2: to college? Et cetera, et cetera, et cetera. So the 334 00:19:53,236 --> 00:19:56,476 Speaker 2: question is, when you're trying to decide where to go 335 00:19:56,516 --> 00:20:00,836 Speaker 2: to college, what kinds of questions should you be asking yourself? 336 00:20:01,356 --> 00:20:04,236 Speaker 2: There are some questions that it is easy to ask 337 00:20:04,436 --> 00:20:09,436 Speaker 2: and answer, like what's the average salary of people who 338 00:20:09,476 --> 00:20:14,556 Speaker 2: graduate from this or that college? It's accessible, it's quantitative. 339 00:20:15,316 --> 00:20:19,476 Speaker 2: What are the average SAT scores of admitted students? The 340 00:20:19,556 --> 00:20:22,516 Speaker 2: higher they are, the better the students. The better the students, 341 00:20:22,516 --> 00:20:25,476 Speaker 2: the better my education will be. US News and World 342 00:20:25,516 --> 00:20:29,916 Speaker 2: Report makes a living quantifying things in this way, so 343 00:20:29,996 --> 00:20:33,196 Speaker 2: that basically you can just push a button and outcomes 344 00:20:33,236 --> 00:20:35,836 Speaker 2: the answer what school should I go to? What school 345 00:20:35,836 --> 00:20:39,156 Speaker 2: should I apply to? Before you do any of that, 346 00:20:39,596 --> 00:20:43,676 Speaker 2: you really should be asking why am I going to college? 347 00:20:44,356 --> 00:20:47,436 Speaker 2: What's it for for me? What kind of a person 348 00:20:47,756 --> 00:20:50,796 Speaker 2: am I? What kind of a person do I aspire 349 00:20:50,916 --> 00:20:56,796 Speaker 2: to become? And you can't really attach value to particular 350 00:20:56,916 --> 00:21:03,436 Speaker 2: colleges or particular programs within colleges without first asking yourself 351 00:21:03,476 --> 00:21:06,716 Speaker 2: these questions, what do I want to care about? And 352 00:21:06,756 --> 00:21:09,036 Speaker 2: what do I care about? And how can I get 353 00:21:09,196 --> 00:21:12,556 Speaker 2: to be the person that I aspire to be? Are 354 00:21:12,596 --> 00:21:15,356 Speaker 2: you going to get this right? Hell? No, you know, 355 00:21:15,596 --> 00:21:18,436 Speaker 2: I mean, you're seventeen years old, you don't know yourself 356 00:21:18,436 --> 00:21:20,836 Speaker 2: well and nothing. One of the great things about college 357 00:21:20,916 --> 00:21:24,356 Speaker 2: is that it changes people. But that kind of uncertainty 358 00:21:24,436 --> 00:21:28,716 Speaker 2: is inevitable you will at least be asking the right questions, 359 00:21:29,116 --> 00:21:32,436 Speaker 2: and as you go through college, you will continue to 360 00:21:32,516 --> 00:21:36,196 Speaker 2: be asking those questions as a way of evaluating whether 361 00:21:36,236 --> 00:21:39,316 Speaker 2: you're being well educated or you know, well educated doesn't 362 00:21:39,356 --> 00:21:42,516 Speaker 2: mean they have a three point eight gpa. Being well 363 00:21:42,676 --> 00:21:45,476 Speaker 2: educated means that you're moving in the direction that you 364 00:21:45,676 --> 00:21:48,916 Speaker 2: think your life should take the trajectory you want your 365 00:21:48,956 --> 00:21:53,036 Speaker 2: life to take. No decision is final. So what we're 366 00:21:53,076 --> 00:21:57,596 Speaker 2: suggesting is that rational people are thoughtful people, they are 367 00:21:57,676 --> 00:22:05,036 Speaker 2: reflective people, and they don't slavishly pursue quantification when quantification 368 00:22:05,116 --> 00:22:10,556 Speaker 2: is inappropriate. In other words, quantification has its place, but 369 00:22:10,996 --> 00:22:14,156 Speaker 2: pretending that you have solved the problem by putting a 370 00:22:14,276 --> 00:22:17,676 Speaker 2: number on it is not going to get you to 371 00:22:17,756 --> 00:22:18,476 Speaker 2: the right place. 372 00:22:18,796 --> 00:22:21,716 Speaker 1: I love this idea, but I find it so countercultural, 373 00:22:21,996 --> 00:22:25,076 Speaker 1: Like we are so in quantification mindset and we're so 374 00:22:25,196 --> 00:22:27,556 Speaker 1: in optimization mindset. I mean, the thing you said that 375 00:22:27,596 --> 00:22:30,156 Speaker 1: I found so interesting that I agree with completely, especially 376 00:22:30,236 --> 00:22:32,476 Speaker 1: for the college decision, but for lots of decisions is 377 00:22:32,916 --> 00:22:34,796 Speaker 1: you're not going to get it right. You're not going 378 00:22:34,796 --> 00:22:36,756 Speaker 1: to get it right because you're going to change throughout 379 00:22:36,756 --> 00:22:38,996 Speaker 1: the process, and there's no right, it's going to evolve 380 00:22:39,036 --> 00:22:41,596 Speaker 1: over time. It's not a decision that's one and done. 381 00:22:41,636 --> 00:22:44,396 Speaker 1: It's one that you're going to keep making constantly. And 382 00:22:44,436 --> 00:22:47,596 Speaker 1: I think people today hate that idea. They want to, 383 00:22:47,716 --> 00:22:50,076 Speaker 1: you know, pick the perfect deeds and it's one and done. 384 00:22:50,156 --> 00:22:52,516 Speaker 1: But most of the big important things we need to 385 00:22:52,516 --> 00:22:54,116 Speaker 1: do in life to live a good life just don't 386 00:22:54,196 --> 00:22:57,236 Speaker 1: work like that, and that I think people find really scary. 387 00:22:57,436 --> 00:22:59,676 Speaker 1: I think people love the idea that they could go 388 00:22:59,716 --> 00:23:02,076 Speaker 1: on some Yelp review and find the optimal college or 389 00:23:02,116 --> 00:23:04,836 Speaker 1: the optimal house and then they're done, But the good 390 00:23:04,836 --> 00:23:05,756 Speaker 1: life doesn't work that way. 391 00:23:05,956 --> 00:23:08,156 Speaker 2: I think that's right. But I also think that this 392 00:23:08,316 --> 00:23:12,196 Speaker 2: sort of rational choice model contributes to this attitude totally. 393 00:23:12,236 --> 00:23:15,356 Speaker 2: In other words, it tells you there is a right 394 00:23:15,476 --> 00:23:19,516 Speaker 2: answer to this question, and if you do enough work, 395 00:23:19,996 --> 00:23:23,636 Speaker 2: you'll get to it. And I don't think that's the 396 00:23:23,636 --> 00:23:28,116 Speaker 2: way people used to think about their lives. You can 397 00:23:28,196 --> 00:23:32,436 Speaker 2: look back after you've made decisions, quite reasonable decisions at 398 00:23:32,436 --> 00:23:36,516 Speaker 2: the time, and learn from what went wrong, so that 399 00:23:36,636 --> 00:23:41,356 Speaker 2: maybe you'll evaluate things differently the next time. But uncertainty 400 00:23:41,556 --> 00:23:45,276 Speaker 2: is simply built into being a human being in a 401 00:23:45,316 --> 00:23:51,556 Speaker 2: social environment, and it's never one and done. It's never finished. 402 00:23:51,676 --> 00:23:56,076 Speaker 2: You should always be thinking about decisions that you've made, 403 00:23:56,276 --> 00:23:59,516 Speaker 2: and I should point out you should be giving it 404 00:23:59,556 --> 00:24:03,276 Speaker 2: attention that's proportionate to its importance. You know, I don't 405 00:24:03,316 --> 00:24:05,516 Speaker 2: want you to go to a pizza place in New 406 00:24:05,556 --> 00:24:08,956 Speaker 2: Haven and then beat yourself up for three weeks because 407 00:24:08,956 --> 00:24:10,796 Speaker 2: you you can go to the best pizza place in 408 00:24:10,836 --> 00:24:14,516 Speaker 2: New Haven. You know that's crazy, But it's not so 409 00:24:14,676 --> 00:24:19,076 Speaker 2: crazy to have those kinds of recriminations when it's about 410 00:24:19,116 --> 00:24:22,756 Speaker 2: where you spent four years going to college, or deciding 411 00:24:22,756 --> 00:24:25,516 Speaker 2: to get a PhD in psychology instead of a PhD 412 00:24:25,556 --> 00:24:30,116 Speaker 2: in economics, or deciding to marry somebody or not marry 413 00:24:30,156 --> 00:24:35,196 Speaker 2: that person. You know, you should be reflective about decisions 414 00:24:35,236 --> 00:24:39,196 Speaker 2: in some proportion to their importance, but you need to 415 00:24:39,236 --> 00:24:42,316 Speaker 2: be reflective to decide how important they are. 416 00:24:42,636 --> 00:24:45,076 Speaker 1: So let's get into the particular process we can use 417 00:24:45,116 --> 00:24:47,516 Speaker 1: to become a little bit more reflective. One of the 418 00:24:47,556 --> 00:24:50,596 Speaker 1: processes you suggest is this idea of understanding. We really 419 00:24:50,636 --> 00:24:52,996 Speaker 1: need to kind of make sure we're understanding things well. 420 00:24:53,356 --> 00:24:55,196 Speaker 1: But you don't mean in the kind of quantitative sense. 421 00:24:55,236 --> 00:24:56,916 Speaker 1: You don't mean kind of measuring things out. So what 422 00:24:56,956 --> 00:24:58,316 Speaker 1: do you mean by understanding here. 423 00:24:58,676 --> 00:25:02,676 Speaker 2: The thing about needing to use judgment is that the 424 00:25:02,796 --> 00:25:07,516 Speaker 2: right answer to almost every question is it depends what 425 00:25:07,716 --> 00:25:10,276 Speaker 2: you just said a few minutes ago. That people don't 426 00:25:10,356 --> 00:25:13,116 Speaker 2: like that, it makes them nervous, it makes them anxious. 427 00:25:13,236 --> 00:25:17,476 Speaker 2: I couldn't agree more. You can deny that and attach 428 00:25:17,956 --> 00:25:21,676 Speaker 2: numbers to things then it doesn't depend or you can 429 00:25:21,756 --> 00:25:26,076 Speaker 2: accept it and try the best you can as an 430 00:25:26,116 --> 00:25:31,476 Speaker 2: imperfect person in a complicated world, to understand both yourself 431 00:25:31,996 --> 00:25:35,556 Speaker 2: and the environment you're about to enter, and use that 432 00:25:35,796 --> 00:25:43,516 Speaker 2: understanding always correctable to make an intelligent guess. So understanding 433 00:25:43,676 --> 00:25:51,356 Speaker 2: means a understanding yourself and b understanding the world. I'm 434 00:25:51,396 --> 00:25:55,516 Speaker 2: sure that one of the things you teach students is 435 00:25:55,556 --> 00:25:59,076 Speaker 2: how hard it is to do either of those things. 436 00:25:59,396 --> 00:26:02,836 Speaker 1: Yes, it's much harder than looking on the US News 437 00:26:02,876 --> 00:26:04,836 Speaker 1: and World Report for you know what the rank is. 438 00:26:04,956 --> 00:26:08,476 Speaker 2: Yep, it is much much harder, and sometimes that's a 439 00:26:08,596 --> 00:26:12,156 Speaker 2: fine thing to do. You know, you're stopping overnight at 440 00:26:12,196 --> 00:26:14,636 Speaker 2: a hotel on your way somewhere and you want to 441 00:26:14,636 --> 00:26:17,436 Speaker 2: find a place to eat, looking at Yelp reviews and 442 00:26:17,516 --> 00:26:20,956 Speaker 2: picking a restaurant that's got good reviews and not looking back. 443 00:26:21,276 --> 00:26:25,036 Speaker 2: That's fine, but you need to be thoughtful to know 444 00:26:25,356 --> 00:26:29,116 Speaker 2: how much effort and what kind of effort is required. 445 00:26:29,516 --> 00:26:31,716 Speaker 2: What does it mean to say that such and such 446 00:26:31,796 --> 00:26:35,956 Speaker 2: is a good school. What you really care about is 447 00:26:35,956 --> 00:26:39,436 Speaker 2: is it a good school for me? However, if you've 448 00:26:39,476 --> 00:26:42,356 Speaker 2: decided that the only reason you're going to college is 449 00:26:42,396 --> 00:26:45,396 Speaker 2: so that you can earn a six figure income right 450 00:26:45,436 --> 00:26:49,636 Speaker 2: after you get your diploma, then a good school isn't 451 00:26:49,676 --> 00:26:52,716 Speaker 2: necessarily a good school for you. It's a good school 452 00:26:52,756 --> 00:26:55,836 Speaker 2: for the world that will reward you with a six 453 00:26:55,916 --> 00:26:59,316 Speaker 2: figure salary as soon as you get your diploma. Now, 454 00:26:59,596 --> 00:27:01,796 Speaker 2: I think that's the wrong reason to choose a school, 455 00:27:01,876 --> 00:27:05,836 Speaker 2: but I wouldn't insist that you use my standards. So 456 00:27:06,076 --> 00:27:09,676 Speaker 2: you use your standards. But knowing what standards you have 457 00:27:09,916 --> 00:27:12,836 Speaker 2: tells you what to look for and how to evaluate 458 00:27:12,916 --> 00:27:16,316 Speaker 2: what you're getting. So there's a fluidity to all of this, 459 00:27:17,116 --> 00:27:21,636 Speaker 2: which we try to suggest captures the fluidity to life 460 00:27:21,756 --> 00:27:27,876 Speaker 2: as we live it. Good decisions are not error free decisions. 461 00:27:28,116 --> 00:27:30,676 Speaker 1: But they work better if we understand ourselves. And one 462 00:27:30,676 --> 00:27:32,716 Speaker 1: of the ways you suggested that we need to understand 463 00:27:32,716 --> 00:27:35,396 Speaker 1: ourselves is to pay a little bit more attention to purpose. 464 00:27:35,876 --> 00:27:37,836 Speaker 1: What do you mean by purpose in this context? 465 00:27:38,236 --> 00:27:41,916 Speaker 2: What's it for? What's college for? What's this job for? 466 00:27:42,636 --> 00:27:45,036 Speaker 2: You know? Is this job just to enable you to 467 00:27:45,076 --> 00:27:47,836 Speaker 2: live in a certain lifestyle? Though, then the only thing 468 00:27:47,876 --> 00:27:50,716 Speaker 2: you really care about is what's in your pay envelope? 469 00:27:51,396 --> 00:27:54,516 Speaker 2: Is this job for making the world a better place? Well, 470 00:27:54,556 --> 00:27:57,756 Speaker 2: now you have to scrutinize the possibilities in a different way. 471 00:27:58,716 --> 00:28:02,796 Speaker 2: Is this job for developing your own skills? That requires 472 00:28:02,796 --> 00:28:06,436 Speaker 2: still a different take. You have to be reflective and 473 00:28:06,796 --> 00:28:10,356 Speaker 2: open to changing. Your idea is about what the job 474 00:28:10,476 --> 00:28:13,396 Speaker 2: is for. And we don't have a high flute notion 475 00:28:13,476 --> 00:28:16,756 Speaker 2: about what purpose is. I mean, we're perfectly happy with 476 00:28:16,876 --> 00:28:20,676 Speaker 2: most people's intuitions, and that, it seems to me, is 477 00:28:20,836 --> 00:28:22,716 Speaker 2: essentially what's it for. 478 00:28:22,996 --> 00:28:25,356 Speaker 1: This also seems to be another area where your vision 479 00:28:25,396 --> 00:28:28,156 Speaker 1: of decision making leads to same anxiety, because when I 480 00:28:28,196 --> 00:28:30,916 Speaker 1: reflect on the purpose of different kinds of things, you know, 481 00:28:31,036 --> 00:28:33,596 Speaker 1: running this podcast, you know, being kind to my husband, 482 00:28:33,716 --> 00:28:36,796 Speaker 1: being a good person in the world, sometimes those parts 483 00:28:36,836 --> 00:28:39,756 Speaker 1: of purpose come into conflict. How di shoud we navigate 484 00:28:39,756 --> 00:28:41,356 Speaker 1: that wisely? 485 00:28:43,996 --> 00:28:49,396 Speaker 2: Yes, that's another thing that rational choice theory essentially ignores. 486 00:28:49,836 --> 00:28:54,476 Speaker 2: It treats the various components of a decision as if 487 00:28:54,556 --> 00:28:59,596 Speaker 2: they are independent from one another, whereas in fact, often 488 00:29:00,436 --> 00:29:04,236 Speaker 2: the different things you desire may come into conflict, and 489 00:29:04,276 --> 00:29:08,956 Speaker 2: what it takes to be successful in the best job 490 00:29:09,676 --> 00:29:14,196 Speaker 2: and what it takes to be successful and satisfied with 491 00:29:14,356 --> 00:29:19,396 Speaker 2: your significant other and family may put you in a 492 00:29:19,436 --> 00:29:24,116 Speaker 2: situation of perpetual conflict. And you know, this actually happened 493 00:29:24,156 --> 00:29:26,836 Speaker 2: to me. I was an ambitious person when I started 494 00:29:27,316 --> 00:29:31,156 Speaker 2: teaching at Swarthmore, and I had aspirations to become one 495 00:29:31,196 --> 00:29:34,156 Speaker 2: of the leaders in the field. But you know, then 496 00:29:34,316 --> 00:29:39,596 Speaker 2: we had our first kid, and it became obvious that 497 00:29:39,676 --> 00:29:42,996 Speaker 2: there was simply no way I could do the things 498 00:29:43,756 --> 00:29:48,156 Speaker 2: that I thought were necessary to attain a certain stature 499 00:29:48,316 --> 00:29:51,996 Speaker 2: in my field and also be a good parent. So 500 00:29:52,076 --> 00:29:58,436 Speaker 2: I immediately reset my sights. I didn't want necessarily to be, 501 00:29:58,996 --> 00:30:01,436 Speaker 2: you know, at the top of my field. I wanted 502 00:30:01,476 --> 00:30:06,036 Speaker 2: to be a respectable and respected contributor to my field. 503 00:30:06,556 --> 00:30:10,276 Speaker 2: But I was only going to do work that did 504 00:30:10,516 --> 00:30:13,756 Speaker 2: not get in the way of being a good parent, 505 00:30:14,276 --> 00:30:16,396 Speaker 2: and that was going to limit the amount of time 506 00:30:16,476 --> 00:30:21,036 Speaker 2: I spent on the job. So the conflict was obvious. 507 00:30:21,556 --> 00:30:26,116 Speaker 2: I think people who have demanding jobs and want families. 508 00:30:26,716 --> 00:30:30,716 Speaker 2: Everybody experiences this conflict. You can buy your way out 509 00:30:30,756 --> 00:30:35,076 Speaker 2: of it by getting childcare of various kinds. You can 510 00:30:35,156 --> 00:30:38,236 Speaker 2: buy your way out of it by being unfair to 511 00:30:38,276 --> 00:30:42,796 Speaker 2: your partner. And so you need to negotiate with yourself 512 00:30:43,116 --> 00:30:46,636 Speaker 2: and have your eyes open. And if this matters to you, 513 00:30:46,636 --> 00:30:49,396 Speaker 2: you've got to pay attention to aspects of the job 514 00:30:49,436 --> 00:30:53,716 Speaker 2: that probably seem fairly trivial when you're deciding what career 515 00:30:53,796 --> 00:30:58,236 Speaker 2: path to follow. So absolutely there are conflicts, and so 516 00:30:58,316 --> 00:31:02,716 Speaker 2: you're always going to end up a little disappointed with outcomes. 517 00:31:03,276 --> 00:31:05,676 Speaker 1: So to make better decisions, we need to be reflective, 518 00:31:05,876 --> 00:31:09,996 Speaker 1: open minded, self aware and accepting of ourselves. But is 519 00:31:10,036 --> 00:31:12,516 Speaker 1: Barry able to follow his advice in his own life 520 00:31:12,916 --> 00:31:15,716 Speaker 1: after the break? Well, hear how Barry applied these lessons 521 00:31:15,716 --> 00:31:18,676 Speaker 1: to a recent life altering decision, And I'll ask him 522 00:31:18,676 --> 00:31:21,436 Speaker 1: for some guidance on a big decision I'm facing myself 523 00:31:21,916 --> 00:31:22,756 Speaker 1: the Happiness Lab. 524 00:31:22,876 --> 00:31:23,636 Speaker 2: We'll be right back. 525 00:31:32,116 --> 00:31:34,196 Speaker 1: So let's talk about how we put these kinds of 526 00:31:34,196 --> 00:31:37,676 Speaker 1: decision making strategies into practice in a real world decision. 527 00:31:38,076 --> 00:31:41,116 Speaker 1: I know you've made some big decisions recently, recently retired 528 00:31:41,156 --> 00:31:44,076 Speaker 1: and moved across the country, explain how this kind of 529 00:31:44,116 --> 00:31:46,716 Speaker 1: take on the good life that's different from rational choice theory, 530 00:31:46,836 --> 00:31:48,316 Speaker 1: entered into your decision to do that. 531 00:31:48,876 --> 00:31:53,316 Speaker 2: So there was no spreadsheet calculating the costs and benefits 532 00:31:53,316 --> 00:31:56,556 Speaker 2: of staying in Philadelphia and teaching at Swarthmore and the 533 00:31:56,596 --> 00:31:59,316 Speaker 2: costs and benefits of moving to the West Coast to 534 00:31:59,396 --> 00:32:02,516 Speaker 2: be closer to my kids and my grandkids. And there 535 00:32:02,556 --> 00:32:06,316 Speaker 2: wasn't an accident that there was no spreadsheet. I, for 536 00:32:06,436 --> 00:32:11,476 Speaker 2: the life of me, can't understand I could have quantitatively 537 00:32:11,676 --> 00:32:17,076 Speaker 2: compared what was good about coming west and what was 538 00:32:17,236 --> 00:32:21,476 Speaker 2: bad about leaving the East. I loved my job as Warthmore, 539 00:32:21,996 --> 00:32:25,436 Speaker 2: I love my kids and my grandkids. I did not 540 00:32:26,116 --> 00:32:32,676 Speaker 2: know how to calculate the right decision. And so, with 541 00:32:32,956 --> 00:32:36,036 Speaker 2: the help of my moral guide, who is my wife, 542 00:32:36,356 --> 00:32:39,516 Speaker 2: we thought about it. We talked about it. We looked 543 00:32:39,556 --> 00:32:42,436 Speaker 2: at it from various different angles. What would we be 544 00:32:42,516 --> 00:32:46,636 Speaker 2: giving up, what would we be gaining? Without directly comparing them, 545 00:32:47,396 --> 00:32:51,756 Speaker 2: we sat with a potential decision. See how it felt 546 00:32:52,116 --> 00:32:56,236 Speaker 2: to imagine ourselves as mostly retired people on the West Coast, 547 00:32:56,836 --> 00:33:00,396 Speaker 2: And after a lot of uncertainty and a lot of 548 00:33:00,436 --> 00:33:02,836 Speaker 2: on the one hand, and on the other hand, we 549 00:33:02,996 --> 00:33:06,956 Speaker 2: decided that this was a point where it made sense 550 00:33:06,996 --> 00:33:09,436 Speaker 2: to make the move because the truth was is that 551 00:33:09,716 --> 00:33:12,396 Speaker 2: we could keep doing what we were doing and get 552 00:33:12,436 --> 00:33:17,436 Speaker 2: satisfaction out of it, but we really missed seeing the family. 553 00:33:18,276 --> 00:33:22,076 Speaker 2: That said. What turned out to make the decision for 554 00:33:22,196 --> 00:33:26,836 Speaker 2: us easier is that I had a temporary but serious 555 00:33:26,876 --> 00:33:31,276 Speaker 2: illness that required surgery, and both of our daughters said, 556 00:33:31,436 --> 00:33:34,876 Speaker 2: you cannot live three thousand miles away. They were right. 557 00:33:35,756 --> 00:33:38,516 Speaker 2: You know, the thing about aging is it only goes 558 00:33:38,556 --> 00:33:41,676 Speaker 2: in one direction. It was anomalous for me to have 559 00:33:41,756 --> 00:33:44,276 Speaker 2: had this problem when I did, but there was no 560 00:33:44,436 --> 00:33:47,996 Speaker 2: question that the future was going to be full of 561 00:33:48,036 --> 00:33:50,756 Speaker 2: such things, and it was going to be torture for 562 00:33:50,836 --> 00:33:54,356 Speaker 2: them to be trying to be involved in our care 563 00:33:54,876 --> 00:33:58,476 Speaker 2: at a distance of three thousand miles. And that made 564 00:33:58,756 --> 00:34:02,756 Speaker 2: what seemed a really hard decision into a much easier one. 565 00:34:03,156 --> 00:34:05,876 Speaker 2: And we're both adaptable. That's the other thing. You know. 566 00:34:05,916 --> 00:34:08,516 Speaker 2: You make a decision and it's not perfect, and then 567 00:34:08,556 --> 00:34:12,156 Speaker 2: you find kind ways to change how you live and 568 00:34:12,276 --> 00:34:16,236 Speaker 2: change what you value so that you make the decision 569 00:34:16,236 --> 00:34:18,556 Speaker 2: you made in to a better one. So I don't 570 00:34:18,556 --> 00:34:20,716 Speaker 2: want to pat myself on the back. You know, it's 571 00:34:20,756 --> 00:34:25,356 Speaker 2: not exactly like fighting in Vietnam to move to the 572 00:34:25,476 --> 00:34:31,796 Speaker 2: incredibly harsh and unpleasant Bay Area. You know, thank god 573 00:34:31,876 --> 00:34:37,236 Speaker 2: my kids don't live in Nebraska. I got nothing against Nebraska. 574 00:34:36,836 --> 00:34:39,156 Speaker 1: But harder decision, a harder decision. 575 00:34:39,236 --> 00:34:41,156 Speaker 2: Yet that would have made it a harder decision. 576 00:34:41,436 --> 00:34:43,276 Speaker 1: So it seems like what you did in that case 577 00:34:43,476 --> 00:34:45,796 Speaker 1: is to not go to the spreadsheet, to try to 578 00:34:45,876 --> 00:34:48,036 Speaker 1: go more towards what do you feel what are the 579 00:34:48,036 --> 00:34:50,316 Speaker 1: purposes in your life? You know your purpose in your work, 580 00:34:50,316 --> 00:34:52,396 Speaker 1: but maybe you're getting less. There's much more purpose in 581 00:34:52,436 --> 00:34:54,716 Speaker 1: being connected to your family. You can enhance your kid's 582 00:34:54,796 --> 00:34:57,076 Speaker 1: purpose of taking care of you. It also seemed like 583 00:34:57,116 --> 00:34:59,916 Speaker 1: you came with a lot of radical acceptance. Right, there's 584 00:35:00,036 --> 00:35:02,076 Speaker 1: not going to be a perfect decision. There's always going 585 00:35:02,116 --> 00:35:04,836 Speaker 1: to be pluses and minuses, and you kind of accepted 586 00:35:04,876 --> 00:35:07,076 Speaker 1: the uncertainty. I think this is what we don't do 587 00:35:07,116 --> 00:35:09,996 Speaker 1: in the modern age. It's always called decision uncertainty. But 588 00:35:10,076 --> 00:35:12,156 Speaker 1: we hate the uncertainty. We really want it to go away, 589 00:35:12,196 --> 00:35:14,076 Speaker 1: and we like to believe there's a way to do that. 590 00:35:14,436 --> 00:35:16,316 Speaker 1: Whereas you kind of came in with the acceptance of 591 00:35:16,436 --> 00:35:18,596 Speaker 1: like well, it's always going to be uncertain. We will 592 00:35:18,636 --> 00:35:20,156 Speaker 1: never know if it was the perfect decision. 593 00:35:20,276 --> 00:35:22,396 Speaker 2: Yeah, I think you can know in advance that it 594 00:35:22,436 --> 00:35:26,036 Speaker 2: isn't a perfect decision. Yeah, any decision worth thinking about 595 00:35:26,196 --> 00:35:30,276 Speaker 2: for more than five minutes, you can virtually guarantee will 596 00:35:30,316 --> 00:35:33,636 Speaker 2: not be a perfect decision. It may be the right decision, 597 00:35:34,036 --> 00:35:37,756 Speaker 2: but it's not a perfect decision. You give things up. 598 00:35:38,156 --> 00:35:42,836 Speaker 2: Economists have a useful idea of opportunity cost. Any time 599 00:35:42,916 --> 00:35:45,996 Speaker 2: you do one thing, there are a million other things 600 00:35:46,036 --> 00:35:49,196 Speaker 2: that you will not be doing that you could be doing. 601 00:35:49,996 --> 00:35:53,516 Speaker 2: And if you think there's a way to devote time, effort, 602 00:35:53,636 --> 00:35:57,836 Speaker 2: and resources to one thing without paying a price with 603 00:35:57,956 --> 00:36:01,476 Speaker 2: respect to other things, you're just kidding yourself. So thinking 604 00:36:01,476 --> 00:36:04,156 Speaker 2: about things in that way, knowing that there will be 605 00:36:04,276 --> 00:36:07,236 Speaker 2: aspects of the life you're leaving that you will miss, 606 00:36:07,916 --> 00:36:11,036 Speaker 2: just has to be part of the drill. And the 607 00:36:11,156 --> 00:36:14,756 Speaker 2: thing I would say about spreadsheets, I think spreadsheets are 608 00:36:14,796 --> 00:36:19,036 Speaker 2: extremely useful as long as you don't fill in the cells. 609 00:36:19,636 --> 00:36:24,796 Speaker 2: It is important to identify the aspects of a decision 610 00:36:24,796 --> 00:36:29,196 Speaker 2: that matter to you and the options that are available, 611 00:36:29,796 --> 00:36:32,396 Speaker 2: and now you've done all the work that a spreadsheet 612 00:36:32,436 --> 00:36:35,396 Speaker 2: is good for because now at least you can be 613 00:36:35,516 --> 00:36:40,596 Speaker 2: reasonably sure that you are not ignoring something important. But 614 00:36:40,756 --> 00:36:44,756 Speaker 2: you can't fill the spreadsheet in with numbers and think 615 00:36:44,836 --> 00:36:47,796 Speaker 2: that this is other than a fantasy. So I'm a 616 00:36:47,836 --> 00:36:52,196 Speaker 2: fan of spreadsheets, but the notion that somehow doing a 617 00:36:52,236 --> 00:36:57,076 Speaker 2: spreadsheet makes your decision sort of automatic, that's just fantasy. 618 00:36:57,476 --> 00:36:59,636 Speaker 1: It was funny reading your book because my husband and 619 00:36:59,636 --> 00:37:01,516 Speaker 1: I are trying to make a big decision about whether 620 00:37:01,596 --> 00:37:03,796 Speaker 1: or not we should buy a house, and buy a 621 00:37:03,796 --> 00:37:05,756 Speaker 1: house in the Boston area even though we live in 622 00:37:05,796 --> 00:37:08,956 Speaker 1: the New Haven area, And when you're buying a house, 623 00:37:09,276 --> 00:37:11,836 Speaker 1: a lot of the spreadsheet choices right surprise, and the 624 00:37:11,916 --> 00:37:14,476 Speaker 1: text is and all the stuff. But reading your book 625 00:37:14,476 --> 00:37:16,356 Speaker 1: has caused me to think, maybe those aren't the things 626 00:37:16,356 --> 00:37:19,316 Speaker 1: I'm supposed to be paying attention to. So very Schwartz's 627 00:37:19,316 --> 00:37:21,636 Speaker 1: advice whether or not to buy a house, what should 628 00:37:21,636 --> 00:37:22,236 Speaker 1: I be thinking of? 629 00:37:22,516 --> 00:37:25,196 Speaker 2: Well, those things are things you should be paying attention to. 630 00:37:25,596 --> 00:37:27,876 Speaker 2: They're not the only things that you should be paying 631 00:37:27,876 --> 00:37:31,276 Speaker 2: attention to. And you shouldn't feel like you should be 632 00:37:31,356 --> 00:37:38,076 Speaker 2: able to trade off quantitative things against qualitative things. You know, 633 00:37:38,236 --> 00:37:40,916 Speaker 2: the basic question is can we afford it? Is it 634 00:37:40,956 --> 00:37:45,316 Speaker 2: financially reckless to turn liquid assets into illiquid assets. There 635 00:37:45,316 --> 00:37:50,116 Speaker 2: are all kinds of very quantifiable questions that should be 636 00:37:50,236 --> 00:37:54,276 Speaker 2: asked and answered. Then there are quality of life questions, 637 00:37:54,636 --> 00:37:58,476 Speaker 2: none of which are quantitative, and then somehow those things 638 00:37:58,516 --> 00:38:01,636 Speaker 2: have to get put together into a decision, since you 639 00:38:01,716 --> 00:38:04,516 Speaker 2: can't both buy a house and not buy a hoss. 640 00:38:05,156 --> 00:38:08,036 Speaker 2: But the notion that you know, if you do all 641 00:38:08,076 --> 00:38:13,236 Speaker 2: of your homework carefully, the decision will make itself. That's 642 00:38:13,316 --> 00:38:17,316 Speaker 2: the notion that this book is designed to wipe out 643 00:38:17,316 --> 00:38:21,636 Speaker 2: of people's minds. Decisions don't make themselves if they're being 644 00:38:21,676 --> 00:38:22,236 Speaker 2: done right. 645 00:38:22,516 --> 00:38:27,476 Speaker 1: This decision is definitely not making. There's a lot of conversation. 646 00:38:27,236 --> 00:38:30,836 Speaker 2: Giving up on good pizza if you buy a hous. 647 00:38:29,316 --> 00:38:32,836 Speaker 1: And it's true, it's true, it's true. No, it's been. 648 00:38:32,876 --> 00:38:34,876 Speaker 1: I mean, I think it's it's funny making this decision 649 00:38:34,876 --> 00:38:37,876 Speaker 1: as we read this book, because I watch how quickly 650 00:38:37,916 --> 00:38:39,916 Speaker 1: our brains want to go into the numbers. 651 00:38:40,196 --> 00:38:43,196 Speaker 2: It's a way of relieving yourself of responsibility. You know, 652 00:38:43,676 --> 00:38:45,556 Speaker 2: I'm doing what the numbers tell me to do. 653 00:38:45,836 --> 00:38:47,716 Speaker 1: I mean, it's so much harder to ask the question 654 00:38:47,756 --> 00:38:49,476 Speaker 1: of like, well, what do we get out of having 655 00:38:49,516 --> 00:38:51,436 Speaker 1: a yard or not having a yard, and the social 656 00:38:51,476 --> 00:38:53,276 Speaker 1: connection we get and what does it mean to get 657 00:38:53,316 --> 00:38:56,276 Speaker 1: older and have a third floor, And like those are 658 00:38:56,516 --> 00:38:57,796 Speaker 1: hard questions. 659 00:38:57,396 --> 00:39:01,956 Speaker 2: You're very very hard questions. So yeah, how's buying is up? 660 00:39:02,756 --> 00:39:07,116 Speaker 2: It's a nightmare. I wish you the best of luck. 661 00:39:07,196 --> 00:39:08,676 Speaker 1: But thank you, thank you, thank you. 662 00:39:08,956 --> 00:39:09,196 Speaker 2: Well. 663 00:39:09,236 --> 00:39:10,916 Speaker 1: Now I have a really lovely book that I can 664 00:39:11,036 --> 00:39:14,396 Speaker 1: use to help out. That's helpful. So Barry as usual, 665 00:39:14,476 --> 00:39:15,956 Speaker 1: this is such a treat. Thank you so much for 666 00:39:15,996 --> 00:39:17,396 Speaker 1: coming back on the happiness Lab. 667 00:39:17,516 --> 00:39:19,996 Speaker 2: I feel exactly the same way, and I thank you 668 00:39:20,036 --> 00:39:23,156 Speaker 2: for being interested enough in it to have me back. 669 00:39:23,916 --> 00:39:27,236 Speaker 1: In a world where dating apps assign us compatibility percentages, 670 00:39:27,636 --> 00:39:31,596 Speaker 1: and social media defines relevance by follower accounts, and performance 671 00:39:31,676 --> 00:39:34,916 Speaker 1: metrics dictate promotions at work, it's easy to fall into 672 00:39:34,916 --> 00:39:38,596 Speaker 1: the trap of seeing everything as quantifiable, but it's important 673 00:39:38,596 --> 00:39:41,356 Speaker 1: to remember that you can't always assign numbers to life's 674 00:39:41,476 --> 00:39:44,556 Speaker 1: most important decisions. So the next time you catch yourself 675 00:39:44,636 --> 00:39:47,436 Speaker 1: ranking pros and cons or trying to calculate the best 676 00:39:47,436 --> 00:39:51,436 Speaker 1: possible choice for some complicated situation, take a pause and 677 00:39:51,596 --> 00:39:55,116 Speaker 1: just remind yourself that there's no perfect choice. Then ask 678 00:39:55,156 --> 00:39:58,116 Speaker 1: what you know about yourself, your values, and your situation, 679 00:39:58,876 --> 00:40:02,316 Speaker 1: and remember that good enough can sometimes be totally great. 680 00:40:03,396 --> 00:40:05,756 Speaker 1: That's it for our special season on my favorite new 681 00:40:05,756 --> 00:40:08,276 Speaker 1: books of twenty twenty five. But if you want even 682 00:40:08,356 --> 00:40:10,756 Speaker 1: more tips on newer books to check out, then be 683 00:40:10,796 --> 00:40:13,116 Speaker 1: sure to sign up for my newsletter, which you can 684 00:40:13,156 --> 00:40:17,036 Speaker 1: do on my website, Doctor Laurisantos dot com. That's doctor 685 00:40:17,116 --> 00:40:19,876 Speaker 1: Lauri Santos dot com. And if you like what you 686 00:40:19,916 --> 00:40:21,596 Speaker 1: hear on the show, be sure to follow me on 687 00:40:21,596 --> 00:40:25,076 Speaker 1: social media. You'll get even more evidence based happiness tips 688 00:40:25,236 --> 00:40:27,276 Speaker 1: as well as behind the scenes moments from the show. 689 00:40:27,756 --> 00:40:29,636 Speaker 1: And don't forget to drop a review of the show 690 00:40:29,716 --> 00:40:32,436 Speaker 1: wherever you listen. It really does help me spread the 691 00:40:32,476 --> 00:40:35,956 Speaker 1: science of happiness with even more people. The Happiness Lab 692 00:40:35,996 --> 00:40:38,236 Speaker 1: will be back in two weeks to celebrate the start 693 00:40:38,316 --> 00:40:41,156 Speaker 1: of basketball season. We'll meet a player who's trying to 694 00:40:41,196 --> 00:40:44,396 Speaker 1: normalize conversations about mental health and who has some great 695 00:40:44,396 --> 00:40:47,196 Speaker 1: advice for how all of us can redefine happiness and 696 00:40:47,276 --> 00:40:50,676 Speaker 1: success all that. Next time on the Happiness Lab with me, 697 00:40:50,916 --> 00:40:52,076 Speaker 1: Doctor Laurie Santos,