1 00:00:02,120 --> 00:00:05,800 Speaker 1: I'm Jessa, and this is deeply human why we do 2 00:00:05,840 --> 00:00:08,640 Speaker 1: the things we do, and we are gathered here today 3 00:00:09,000 --> 00:00:11,720 Speaker 1: to talk about love. We spend a lot of time 4 00:00:11,760 --> 00:00:13,960 Speaker 1: trying to find it, but we might be better off 5 00:00:14,000 --> 00:00:17,479 Speaker 1: trying to build it, less wiping and more second dates. 6 00:00:23,200 --> 00:00:26,000 Speaker 1: Can you hear me very well? Okay, I'm going to 7 00:00:26,040 --> 00:00:29,280 Speaker 1: ask some questions about dating. If you could think of 8 00:00:29,320 --> 00:00:31,880 Speaker 1: a character in a movie that would serve as a 9 00:00:31,960 --> 00:00:34,440 Speaker 1: rough model for a good match for me, who would 10 00:00:34,440 --> 00:00:38,320 Speaker 1: it be? Oh, my goodness, the first thing that comes 11 00:00:38,320 --> 00:00:44,760 Speaker 1: to mind is Indiana Jones because of the adventurousness. I 12 00:00:44,800 --> 00:00:48,320 Speaker 1: would totally date Harrison Ford is Indiana Jones. Of course 13 00:00:48,320 --> 00:00:52,800 Speaker 1: you would. And he's got the physical thing. He's not 14 00:00:52,840 --> 00:00:58,840 Speaker 1: afraid of getting dirty. He's swashbuckling. That's my mom, Sylvia. 15 00:00:59,440 --> 00:01:02,240 Speaker 1: She's very a professional in public and kind of goofy 16 00:01:02,320 --> 00:01:05,560 Speaker 1: when it's just us. We talked on the phone most weeks, 17 00:01:05,640 --> 00:01:08,600 Speaker 1: sharing little updates about our lives, comparing notes on the 18 00:01:08,600 --> 00:01:11,280 Speaker 1: world around us. I happened to be on the dating 19 00:01:11,319 --> 00:01:13,800 Speaker 1: market at the moment, and I've been thinking a lot 20 00:01:13,920 --> 00:01:17,959 Speaker 1: lately about romantic matching. What it is that attracts people 21 00:01:18,000 --> 00:01:22,280 Speaker 1: to one another? And fixes them together. I still remember 22 00:01:22,319 --> 00:01:25,319 Speaker 1: when my mom was dating after my parents divorced. She 23 00:01:25,440 --> 00:01:28,120 Speaker 1: met her new husband through a personal ad that was 24 00:01:28,200 --> 00:01:30,600 Speaker 1: online dating, when the Internet was still made out of 25 00:01:30,720 --> 00:01:35,280 Speaker 1: paper in a previous era of American history, my mom 26 00:01:35,400 --> 00:01:37,000 Speaker 1: might have been the person to set me up with 27 00:01:37,040 --> 00:01:41,399 Speaker 1: a guy. But times have changed. Now we're dating online, 28 00:01:41,600 --> 00:01:45,720 Speaker 1: which is seriously expanded the dating pool, and we're marrying later, 29 00:01:46,120 --> 00:01:51,000 Speaker 1: which means we're treading water longer. The contemporary dat sifts 30 00:01:51,040 --> 00:01:54,920 Speaker 1: through way more candidates to find her special somebody, and 31 00:01:55,280 --> 00:01:58,480 Speaker 1: as we'll learn, the numbers matter more than you might think. 32 00:01:58,880 --> 00:02:02,000 Speaker 1: When you looked at me little, did you have any 33 00:02:02,080 --> 00:02:05,520 Speaker 1: idea of the sort of partner that I'd end up with? Like? 34 00:02:05,560 --> 00:02:07,720 Speaker 1: Did you think about that about me dating? When when 35 00:02:07,760 --> 00:02:10,440 Speaker 1: I was like, I think a parent always thinks that way, 36 00:02:11,080 --> 00:02:12,919 Speaker 1: Even when I took a look at the four year old, 37 00:02:13,080 --> 00:02:16,240 Speaker 1: this was a curious mind. And I think when I 38 00:02:16,280 --> 00:02:19,519 Speaker 1: think about your dating, I can only imagine that it 39 00:02:19,520 --> 00:02:23,960 Speaker 1: would be someone who would be equally curious. I think 40 00:02:24,000 --> 00:02:27,240 Speaker 1: that being a physical person, the physical strength of the 41 00:02:27,240 --> 00:02:30,480 Speaker 1: person you're with actually matters. What do you mean, like 42 00:02:30,480 --> 00:02:34,799 Speaker 1: like someone I can't win in an arm wrestling match. Yes, 43 00:02:35,240 --> 00:02:37,960 Speaker 1: someone who could pick you up and twirl you around. Okay, 44 00:02:38,040 --> 00:02:41,560 Speaker 1: just for the record, I'm like a hundred and forty 45 00:02:41,600 --> 00:02:46,080 Speaker 1: five pounds and five tents. That narrows it down. There 46 00:02:46,080 --> 00:02:48,120 Speaker 1: are a lot of guys out there like that, though. 47 00:02:48,600 --> 00:02:50,040 Speaker 1: Do you know what Tinder is? Do you know what 48 00:02:50,040 --> 00:02:52,680 Speaker 1: the app tender? Next time we have lunch, do you 49 00:02:52,720 --> 00:02:56,040 Speaker 1: want to like drive my Tinder app and you can 50 00:02:56,040 --> 00:02:58,920 Speaker 1: swipe left or right and you can tell me, Oh, sure, 51 00:02:58,960 --> 00:03:04,040 Speaker 1: that would be kind of fun. We're looking for a 52 00:03:04,080 --> 00:03:08,760 Speaker 1: companion for chemistry, a partner for good times and for bad, 53 00:03:08,800 --> 00:03:13,160 Speaker 1: for Netflix and for chilling, someone with whom were really compatible. 54 00:03:14,000 --> 00:03:17,240 Speaker 1: But what exactly is compatibility and how much of it 55 00:03:17,320 --> 00:03:21,000 Speaker 1: can we expect to find in a partner. Years ago, 56 00:03:21,080 --> 00:03:24,040 Speaker 1: I was talking with my best friend Jacqueline about this stuff, 57 00:03:24,480 --> 00:03:28,120 Speaker 1: and our exchange has haunted me ever since. She told 58 00:03:28,160 --> 00:03:31,880 Speaker 1: me someone we both know was going through this big breakup, 59 00:03:32,360 --> 00:03:36,520 Speaker 1: and Jacqueline asked him what happened, and he told her 60 00:03:37,040 --> 00:03:40,360 Speaker 1: he and his girl had really tried to make it work. 61 00:03:40,720 --> 00:03:44,480 Speaker 1: He said, man, we were so close to being a fit. 62 00:03:45,240 --> 00:03:53,680 Speaker 1: We were, but we just couldn't do him. Not long afterwards, 63 00:03:54,000 --> 00:03:57,000 Speaker 1: another friend of ours announced that he'd asked his girlfriend 64 00:03:57,000 --> 00:04:00,600 Speaker 1: the big question, the one posed on bended knee. When 65 00:04:00,680 --> 00:04:04,320 Speaker 1: Jacqueline asked him, ah, so how do you know she 66 00:04:04,440 --> 00:04:09,080 Speaker 1: was the one? He responded, We just fit. We match 67 00:04:09,200 --> 00:04:16,800 Speaker 1: like on everything. Two couples, both feeling well matched and 68 00:04:16,920 --> 00:04:20,440 Speaker 1: the exact same grade, flunked one guy out of dating 69 00:04:20,720 --> 00:04:23,000 Speaker 1: and landed the other in a second ring suburb with 70 00:04:23,040 --> 00:04:26,600 Speaker 1: two kids and a joint checking account. So how good 71 00:04:27,080 --> 00:04:31,039 Speaker 1: is good enough? How much can we ask for? What 72 00:04:31,080 --> 00:04:34,800 Speaker 1: should we settle for? I spoke to someone who studies 73 00:04:34,920 --> 00:04:38,640 Speaker 1: choice and decision making to figure out exactly how people 74 00:04:38,720 --> 00:04:42,200 Speaker 1: set their standards. Barry, Yeah, do you mind if I 75 00:04:42,240 --> 00:04:45,560 Speaker 1: call you Berry? Not at all. The expert with whom 76 00:04:45,600 --> 00:04:48,520 Speaker 1: we are now on a first name basis is Barry Schwartz, 77 00:04:48,640 --> 00:04:51,280 Speaker 1: a professor of psychology at the Business School at the 78 00:04:51,400 --> 00:04:56,200 Speaker 1: University of California, Berkeley. He's particularly interested in how you 79 00:04:56,240 --> 00:04:59,039 Speaker 1: behave when you're in environments where you have a bunch 80 00:04:59,080 --> 00:05:02,360 Speaker 1: of options, like the serial aisle and the supermarkets, say 81 00:05:02,520 --> 00:05:07,000 Speaker 1: or you know, tender. Intuitively, most of us are likely 82 00:05:07,040 --> 00:05:10,400 Speaker 1: to think, Hey, more options to choose from means I'll 83 00:05:10,400 --> 00:05:12,400 Speaker 1: be more likely to get just what I'm looking for. 84 00:05:12,960 --> 00:05:15,960 Speaker 1: But as Barry explains in his book The Paradox of Choice, 85 00:05:16,320 --> 00:05:21,080 Speaker 1: that's not always the case. Most Western industrial societies believe 86 00:05:21,760 --> 00:05:27,440 Speaker 1: that since freedom is good and choice is essential to freedom, 87 00:05:27,480 --> 00:05:30,960 Speaker 1: that choice is good, and that the more choice people have, 88 00:05:31,200 --> 00:05:33,760 Speaker 1: the more freedom they have and the better off they are. 89 00:05:34,240 --> 00:05:36,960 Speaker 1: Choice is good. But there can be too much of 90 00:05:36,960 --> 00:05:39,760 Speaker 1: a good thing. And when you give people too much 91 00:05:39,760 --> 00:05:42,600 Speaker 1: of a good thing, instead of being liberated by it, 92 00:05:42,680 --> 00:05:52,440 Speaker 1: they get paralyzed. They can't pull the trigger. Think of 93 00:05:52,480 --> 00:05:56,320 Speaker 1: your local grocery store with dozens and dozens of serials 94 00:05:56,400 --> 00:06:00,240 Speaker 1: on offer. Barry says that the process of sifting through 95 00:06:00,320 --> 00:06:04,120 Speaker 1: so many options can actually make us less satisfied with 96 00:06:04,160 --> 00:06:07,719 Speaker 1: whatever we've put in our cards. His thinking goes likeness. 97 00:06:08,440 --> 00:06:12,000 Speaker 1: While we're comparing all the potential choices, we're making note 98 00:06:12,040 --> 00:06:18,000 Speaker 1: of the best features of every option. Oh hey, this 99 00:06:18,080 --> 00:06:22,160 Speaker 1: box of frosted puff whatever is is on sale. Oh 100 00:06:22,520 --> 00:06:25,800 Speaker 1: but this one is organic. Ah, but this one has 101 00:06:25,839 --> 00:06:29,360 Speaker 1: so much niacin. I love nias. At the end of 102 00:06:29,400 --> 00:06:33,080 Speaker 1: the process, nothing can compare to the super breakfast you've 103 00:06:33,080 --> 00:06:36,279 Speaker 1: collaged in your imagination by combining the best bits of 104 00:06:36,320 --> 00:06:39,680 Speaker 1: each box. So even if you do end up making 105 00:06:39,720 --> 00:06:43,159 Speaker 1: a pretty good selection, you just don't feel that good. 106 00:06:43,480 --> 00:06:46,640 Speaker 1: And this isn't just about cereal. This applies to big 107 00:06:46,680 --> 00:06:49,560 Speaker 1: life choices too. One of the things we have to 108 00:06:49,600 --> 00:06:53,760 Speaker 1: fight against is adaptation. Barry has been studying this stuff 109 00:06:53,800 --> 00:06:58,640 Speaker 1: for forty five years. You have good experiences and they're wonderful, 110 00:06:58,680 --> 00:07:02,480 Speaker 1: they're spectacular for a while, and then they just become 111 00:07:02,520 --> 00:07:06,960 Speaker 1: your life. And as normal keeps going up, experiences that 112 00:07:07,000 --> 00:07:09,440 Speaker 1: are really going to knock your socks off have to 113 00:07:09,520 --> 00:07:12,160 Speaker 1: keep going up to the socks stay on, And I 114 00:07:12,200 --> 00:07:15,400 Speaker 1: don't know what you can do to get somebody's socks off. 115 00:07:16,040 --> 00:07:19,120 Speaker 1: So maybe the problem is that I've dated too many 116 00:07:19,120 --> 00:07:22,040 Speaker 1: great guys. It's weird to say it, but I don't 117 00:07:22,040 --> 00:07:25,280 Speaker 1: think that's a ridiculous idea. I've been lucky enough to 118 00:07:25,320 --> 00:07:29,440 Speaker 1: know and love some awesome dudes, and I've sometimes wondered 119 00:07:29,560 --> 00:07:32,120 Speaker 1: if I had been forced to marry one of them, 120 00:07:32,240 --> 00:07:34,600 Speaker 1: could we have made a go of it. I bet 121 00:07:34,600 --> 00:07:38,080 Speaker 1: we could have pulled off a workable partnership. But of course, 122 00:07:38,400 --> 00:07:41,480 Speaker 1: workable isn't really the standard we're going for these days, 123 00:07:41,560 --> 00:07:45,480 Speaker 1: is it. We want to lose our socks, We want socklessness. 124 00:07:46,320 --> 00:07:49,160 Speaker 1: Barry is quick to point out there's very little empirical 125 00:07:49,200 --> 00:07:52,760 Speaker 1: evidence on this, but still I can't, for the life 126 00:07:52,800 --> 00:07:57,320 Speaker 1: of me, see why having two cereals to choose from 127 00:07:57,320 --> 00:08:00,320 Speaker 1: and the grocery is any different from having two hundred 128 00:08:00,360 --> 00:08:03,880 Speaker 1: romantic partners to choose from on a dating site. It 129 00:08:03,960 --> 00:08:06,760 Speaker 1: seems to me that all the problems that having all 130 00:08:06,760 --> 00:08:11,440 Speaker 1: these options present in the retail domain, they present, perhaps 131 00:08:11,520 --> 00:08:15,520 Speaker 1: even to a greater degree, in the romantic domain, because 132 00:08:15,520 --> 00:08:18,320 Speaker 1: the stakes are so much higher. Barry told me about 133 00:08:18,360 --> 00:08:21,360 Speaker 1: a pretty interesting study on dating choice as it played 134 00:08:21,360 --> 00:08:27,760 Speaker 1: out in the world of speed dating. If you're unfamiliar, 135 00:08:27,960 --> 00:08:30,600 Speaker 1: speed dating started in the late nineties, and it goes 136 00:08:30,640 --> 00:08:33,040 Speaker 1: like this. An organizer gather there's a bunch of people 137 00:08:33,040 --> 00:08:34,959 Speaker 1: in a room to set them up on tiny dates 138 00:08:35,080 --> 00:08:37,600 Speaker 1: only a few minutes long. A bell rings to indicate 139 00:08:37,640 --> 00:08:39,319 Speaker 1: when you're supposed to move on to your next day, 140 00:08:39,360 --> 00:08:41,400 Speaker 1: to the next, and at the end of the night, 141 00:08:41,440 --> 00:08:43,640 Speaker 1: you submit a little sheet of paper to the organizers 142 00:08:43,640 --> 00:08:46,200 Speaker 1: to indicate who you'd like to see again. If they 143 00:08:46,240 --> 00:08:47,959 Speaker 1: also pick you, then you're set up for a real 144 00:08:48,080 --> 00:08:52,160 Speaker 1: date at normal speed. What's interesting is how the number 145 00:08:52,200 --> 00:08:54,760 Speaker 1: and range of potential daters in the room can affect 146 00:08:54,800 --> 00:08:58,120 Speaker 1: the number of matches. A two thousand eleven article and 147 00:08:58,200 --> 00:09:01,800 Speaker 1: a publication called Biology letter Is reported findings from a 148 00:09:01,840 --> 00:09:06,160 Speaker 1: study of eighty four speed dating groups. Researchers discovered that 149 00:09:06,240 --> 00:09:08,680 Speaker 1: the daters who had a wider variety of people to 150 00:09:08,760 --> 00:09:11,840 Speaker 1: choose from picked fewer people than want to see again, 151 00:09:12,440 --> 00:09:14,960 Speaker 1: and when they had a lot of really varied choices, 152 00:09:15,520 --> 00:09:17,880 Speaker 1: they were more likely to pick no one at all. 153 00:09:18,320 --> 00:09:22,560 Speaker 1: And arguably this is because with everybody you see, you know, 154 00:09:22,840 --> 00:09:25,160 Speaker 1: the scarce person is pretty nice, but that other person 155 00:09:25,280 --> 00:09:27,480 Speaker 1: was funnier, and that other person was a little bit 156 00:09:27,520 --> 00:09:30,040 Speaker 1: better looking, and that other person seemed to be a 157 00:09:30,040 --> 00:09:34,679 Speaker 1: better listener, and so every attractive feature of everybody reduces 158 00:09:34,720 --> 00:09:39,600 Speaker 1: the attractiveness of everybody else. Confession time I tried speed dating. 159 00:09:39,640 --> 00:09:41,760 Speaker 1: Once I liked a guy with a pink dress shirt 160 00:09:41,800 --> 00:09:45,160 Speaker 1: who did not indicate liking me back. If you're listening now, 161 00:09:45,240 --> 00:09:48,320 Speaker 1: pink shirt guy, this is the glamorous podcasting life you 162 00:09:48,320 --> 00:09:52,360 Speaker 1: could have been a part of. One of the most 163 00:09:52,520 --> 00:09:56,560 Speaker 1: fascinating recent revelations about love and dating comes from the 164 00:09:56,559 --> 00:10:00,559 Speaker 1: work of Dr Helen Fisher, a researcher, a tier and 165 00:10:00,600 --> 00:10:03,679 Speaker 1: a public figure who spent much of her career studying 166 00:10:03,800 --> 00:10:08,160 Speaker 1: how we make romantic choices. Here's the study I read 167 00:10:08,280 --> 00:10:12,800 Speaker 1: that blew my mind. Dr Fisher recruited a bunch of 168 00:10:12,800 --> 00:10:15,720 Speaker 1: people who were passionately in love and put each of 169 00:10:15,760 --> 00:10:20,360 Speaker 1: them into an fMRI machine. While inside, each participant was 170 00:10:20,360 --> 00:10:23,440 Speaker 1: shown a picture of the person I loved and pictures 171 00:10:23,480 --> 00:10:26,800 Speaker 1: of somebody else as a control image. The machine tracked 172 00:10:26,840 --> 00:10:29,640 Speaker 1: brain activity throughout the session, and at the end of 173 00:10:29,679 --> 00:10:34,080 Speaker 1: her research, Helen was confident that she'd identified exactly which 174 00:10:34,120 --> 00:10:37,200 Speaker 1: parts of the human brain are involved in romantic love. 175 00:10:37,960 --> 00:10:42,400 Speaker 1: I've actually seen these regions modeled in three D, even 176 00:10:42,440 --> 00:10:45,080 Speaker 1: hopped in an fMRI machine myself to have my own 177 00:10:45,080 --> 00:10:48,920 Speaker 1: brain scanned. And let me tell you, love is not pretty. 178 00:10:49,120 --> 00:10:53,720 Speaker 1: It's a curving set of nabby, mangled, sort of claw 179 00:10:53,800 --> 00:10:58,080 Speaker 1: like things clenched deep inside the darkness of our skulls. 180 00:10:58,600 --> 00:11:01,640 Speaker 1: Nobody gets out of love alive. I mean, we're trying 181 00:11:01,640 --> 00:11:05,000 Speaker 1: to win life's greatest prize, which is a mating partner. 182 00:11:05,520 --> 00:11:09,400 Speaker 1: Helen talks with her hands. She is inexhaustibly excited about 183 00:11:09,440 --> 00:11:11,960 Speaker 1: what she does. I had thought that the hardest thing 184 00:11:11,960 --> 00:11:14,199 Speaker 1: I would do with my career would be to figure 185 00:11:14,200 --> 00:11:17,320 Speaker 1: out the brain circuitry of romantic love and attachment. But 186 00:11:17,400 --> 00:11:20,400 Speaker 1: as it turns out, it's actually not. The question was 187 00:11:20,600 --> 00:11:23,120 Speaker 1: why do you fall for him or her? Why are 188 00:11:23,160 --> 00:11:26,319 Speaker 1: you drawn to a particular person? And there's all kinds 189 00:11:26,360 --> 00:11:28,120 Speaker 1: of cultural reasons. I mean, we tend to fall in 190 00:11:28,120 --> 00:11:31,000 Speaker 1: love with somebody from the same socio economic background, same 191 00:11:31,040 --> 00:11:33,560 Speaker 1: general level of intelligence, same general level of good look, 192 00:11:33,640 --> 00:11:38,120 Speaker 1: same religious and social values, same reproductive goals, same economic goals, 193 00:11:38,120 --> 00:11:41,280 Speaker 1: your child. It certainly plays a role. Timing is important, 194 00:11:41,320 --> 00:11:43,840 Speaker 1: Proximity is important, and I would say at my age, 195 00:11:43,920 --> 00:11:47,559 Speaker 1: lighting can help you, know. So I began to think 196 00:11:47,559 --> 00:11:51,439 Speaker 1: to myself, well, maybe basic biology can pull you naturally 197 00:11:51,720 --> 00:11:55,559 Speaker 1: towards one person rather than another. There's four basic brain 198 00:11:55,640 --> 00:11:57,880 Speaker 1: systems that each one of them is linked with a 199 00:11:58,000 --> 00:12:08,280 Speaker 1: constellation of personality race, the dopamine, serotonin, testosterone, and estrogen system. 200 00:12:08,320 --> 00:12:11,240 Speaker 1: I'm gonna slow a role here because this part is important. 201 00:12:12,679 --> 00:12:18,880 Speaker 1: Those four substances Helen mentioned dopamine, serotonin, testosterone, and estrogen, 202 00:12:19,320 --> 00:12:21,720 Speaker 1: They're in all of our bodies and they act on 203 00:12:21,760 --> 00:12:25,680 Speaker 1: systems in our brain, affecting the way we feel, learn, think, 204 00:12:25,920 --> 00:12:30,360 Speaker 1: and act. Helen started studying the available research about how 205 00:12:30,400 --> 00:12:33,960 Speaker 1: a person's temperament is to some extent shaped by these 206 00:12:34,040 --> 00:12:39,840 Speaker 1: four brain systems. People who are testosterone dominant, for example, 207 00:12:40,200 --> 00:12:43,559 Speaker 1: may be more prone to skepticism, People who are serotonin 208 00:12:43,600 --> 00:12:47,199 Speaker 1: dominant tend to be more religious, estrogen people may be 209 00:12:47,320 --> 00:12:51,040 Speaker 1: more verbal, and dopamine dominant people are more novelty seeking. 210 00:12:51,600 --> 00:12:54,640 Speaker 1: Helen wanted to know are there dating patterns that emerge 211 00:12:54,679 --> 00:12:58,480 Speaker 1: between these four types? How are they attracted to one another? First, 212 00:12:58,679 --> 00:13:01,920 Speaker 1: she said about designing questionnaire that could allow her to 213 00:13:01,960 --> 00:13:05,760 Speaker 1: categorize daters into their biological types. I collected all the 214 00:13:05,840 --> 00:13:09,920 Speaker 1: data from hormone studies and neurotransmitter studies and medical and 215 00:13:10,040 --> 00:13:13,160 Speaker 1: biological studies to make the questionnaire, and then I went 216 00:13:13,320 --> 00:13:16,760 Speaker 1: on to do two brain scanning studies to prove that 217 00:13:16,840 --> 00:13:20,600 Speaker 1: this questionnaire actually measures what it does. She also linked 218 00:13:20,640 --> 00:13:23,960 Speaker 1: up with match dot com and chemistry dot com, big 219 00:13:24,040 --> 00:13:27,640 Speaker 1: online dating sites, which gave her access to a huge 220 00:13:27,760 --> 00:13:31,200 Speaker 1: number of active daters. The users agreed to take her 221 00:13:31,240 --> 00:13:34,959 Speaker 1: temperament questionnaire, and then they set about matching and dating 222 00:13:34,960 --> 00:13:37,920 Speaker 1: each other, and she took note of who linked up 223 00:13:37,960 --> 00:13:42,480 Speaker 1: with whom. More than fourteen million people in forty countries 224 00:13:42,520 --> 00:13:46,880 Speaker 1: have taken Helen's questionnaire, I recently joined their ranks, answering 225 00:13:46,880 --> 00:13:50,920 Speaker 1: her fifty six questions. On one of those agreed disagree skills, 226 00:13:52,480 --> 00:13:59,320 Speaker 1: I find unpredictable situations accelerating. Yes, taking care of my 227 00:13:59,360 --> 00:14:02,600 Speaker 1: possessions is a high priority for me. I dropped my 228 00:14:02,640 --> 00:14:06,600 Speaker 1: phone every time I stand up. That's a strong disagree. 229 00:14:07,120 --> 00:14:12,240 Speaker 1: I think consistent routines keep life orderly and relaxing. No, 230 00:14:12,360 --> 00:14:17,760 Speaker 1: not so much. My answers classify me as driven by 231 00:14:17,800 --> 00:14:23,360 Speaker 1: the estrogen system. According to Helen, people like me verbal social, 232 00:14:23,520 --> 00:14:28,000 Speaker 1: inclined towards monogamy, conflict diverse, like to date test uster 233 00:14:28,000 --> 00:14:33,880 Speaker 1: our own people, logical, confident skeptics. Oh come on, really, 234 00:14:34,480 --> 00:14:39,480 Speaker 1: that's just oh hell, that is totally true. However, the 235 00:14:39,600 --> 00:14:44,000 Speaker 1: seratonin camp planners who value tradition prefer to date within 236 00:14:44,080 --> 00:14:48,240 Speaker 1: their own ranks, as do the novelty and adventure seeking 237 00:14:48,320 --> 00:14:51,840 Speaker 1: dopamine folks, who presumably take their candle at dinners on 238 00:14:51,880 --> 00:15:10,960 Speaker 1: the wing of a plane toasting Chardonnay cup with red bull. Yeah. Okay. 239 00:15:11,320 --> 00:15:14,800 Speaker 1: Going back to Barry Schwartz, our choice expert, he says 240 00:15:14,840 --> 00:15:18,440 Speaker 1: there are two distinct approaches that people might use to 241 00:15:18,560 --> 00:15:22,120 Speaker 1: guide their choosing. There are some people who, whenever they 242 00:15:22,160 --> 00:15:24,440 Speaker 1: have a choice to make, they want the best. We 243 00:15:24,560 --> 00:15:28,840 Speaker 1: call people like this maximizers. There are other people who 244 00:15:28,920 --> 00:15:31,920 Speaker 1: are not so concerned about the best. We call these 245 00:15:31,960 --> 00:15:35,640 Speaker 1: people satisficers, and it's a term that was coined by 246 00:15:35,680 --> 00:15:39,960 Speaker 1: a psychologist named Herb Simon half a century ago. The 247 00:15:40,040 --> 00:15:43,440 Speaker 1: thing about being a satisfy sir is you don't have 248 00:15:43,560 --> 00:15:48,240 Speaker 1: to examine every option. You examine options until you find 249 00:15:48,280 --> 00:15:51,880 Speaker 1: one that meets your standards. Then you stop looking and 250 00:15:52,000 --> 00:15:56,960 Speaker 1: you are satisfied with what you've gotten. Maximizers want to 251 00:15:56,960 --> 00:16:00,240 Speaker 1: make sure to score the best possible option. This is 252 00:16:00,280 --> 00:16:03,240 Speaker 1: a friend who will tour a thousand apartments before signing 253 00:16:03,240 --> 00:16:07,840 Speaker 1: a lease. Satisficers, meanwhile, have a specific standard in mind. 254 00:16:08,280 --> 00:16:11,360 Speaker 1: They wanted two bedroom and the hardward floor is a 255 00:16:11,480 --> 00:16:14,320 Speaker 1: closet big enough to record a podcast in, and as 256 00:16:14,320 --> 00:16:16,800 Speaker 1: soon as she finds a place that meets those requirements, 257 00:16:16,960 --> 00:16:21,360 Speaker 1: she's ready to move in. Satisficers aren't necessarily less choosy. 258 00:16:21,400 --> 00:16:23,600 Speaker 1: They might have a lot of boxes to check, but 259 00:16:23,720 --> 00:16:27,360 Speaker 1: generally it's the maximizers who find themselves spending a lot 260 00:16:27,400 --> 00:16:32,520 Speaker 1: of time and energy on their deliberations. Intuitively. Most people 261 00:16:32,560 --> 00:16:36,160 Speaker 1: think you should make the little decisions as a satisficer, like, hey, 262 00:16:36,200 --> 00:16:38,880 Speaker 1: this works, I'll take it, and the big decisions as 263 00:16:38,920 --> 00:16:43,000 Speaker 1: a maximizer. I'm going to spend the time and energy 264 00:16:43,080 --> 00:16:46,680 Speaker 1: on this to find the very best. But Barry says 265 00:16:47,120 --> 00:16:49,920 Speaker 1: they're wrong. You know, by the time you find your 266 00:16:50,040 --> 00:16:54,880 Speaker 1: romantic partner, you'll be in your mid fifties, and uh, 267 00:16:55,080 --> 00:16:57,040 Speaker 1: that's not the right way to go through life. In 268 00:16:57,080 --> 00:17:01,000 Speaker 1: addition to which, since we're talking about Roman Tick relationships, 269 00:17:01,240 --> 00:17:05,080 Speaker 1: there's a huge mistake I think that people make, which 270 00:17:05,280 --> 00:17:09,479 Speaker 1: is that the challenge when you're seeking a romantic partner 271 00:17:09,640 --> 00:17:13,960 Speaker 1: is one of discovery find the right person. And I 272 00:17:14,000 --> 00:17:19,359 Speaker 1: don't think it's really about discovery. I think it's about creation. 273 00:17:20,400 --> 00:17:24,119 Speaker 1: You find a compatible person and then you build a 274 00:17:24,200 --> 00:17:28,800 Speaker 1: great relationship. It's worth noting here, and Barry agrees that 275 00:17:28,840 --> 00:17:31,960 Speaker 1: we don't have to partner at all. Life has some 276 00:17:32,040 --> 00:17:36,240 Speaker 1: other pretty great prizes. But Barry has a point. If 277 00:17:36,240 --> 00:17:38,960 Speaker 1: we do want to find a companion, it'd be nice 278 00:17:39,000 --> 00:17:40,959 Speaker 1: to find that person while we've got a lot of 279 00:17:41,000 --> 00:17:44,080 Speaker 1: time left to pack around together. I know that you're 280 00:17:44,160 --> 00:17:48,960 Speaker 1: married for fifty two years as of three days ago. Hey, 281 00:17:49,000 --> 00:17:52,920 Speaker 1: I'm late with the happy anniversary. So how did Barry 282 00:17:53,000 --> 00:17:57,639 Speaker 1: meet his wife? mRNA? There's some hyper rational decision matrix. Well, 283 00:17:58,040 --> 00:18:00,840 Speaker 1: so she's probably going to be mad at me for 284 00:18:01,000 --> 00:18:04,720 Speaker 1: revealing all this stuff. But we became best friends in 285 00:18:04,840 --> 00:18:09,720 Speaker 1: eighth grade and I was romantically interested in her from 286 00:18:09,760 --> 00:18:14,000 Speaker 1: the get go, and she was not romantically interested in me, 287 00:18:14,280 --> 00:18:17,240 Speaker 1: and it took a lot of persistence on my part 288 00:18:17,680 --> 00:18:19,920 Speaker 1: to get her to change her mind. When you were 289 00:18:19,960 --> 00:18:24,200 Speaker 1: doing that, are you using methods of satisficers or maximizers? 290 00:18:25,240 --> 00:18:28,439 Speaker 1: I watched fifteen years old. Give me a break. I 291 00:18:28,480 --> 00:18:31,159 Speaker 1: don't know what the hell I was doing as to 292 00:18:31,200 --> 00:18:34,320 Speaker 1: where I ought to be looking for my partner. Barry 293 00:18:34,440 --> 00:18:37,000 Speaker 1: is not impressed by the app I happen to be using. 294 00:18:37,640 --> 00:18:41,080 Speaker 1: You are way way too good to be needing to 295 00:18:41,160 --> 00:18:44,640 Speaker 1: use Tinder. Let me say, I'll take it. I'm gonna 296 00:18:44,640 --> 00:18:46,120 Speaker 1: put that you don't have to do if it's cool 297 00:18:46,160 --> 00:18:48,480 Speaker 1: with you want my endorsements, Barry? Can I put that 298 00:18:48,560 --> 00:18:52,040 Speaker 1: on my Tinder account? I'm doing it for all if 299 00:18:52,080 --> 00:18:53,239 Speaker 1: you think it will help. I don't know. I think 300 00:18:53,280 --> 00:19:01,040 Speaker 1: it's funny, I asked Talent Fisher, our expert on love 301 00:19:01,080 --> 00:19:04,000 Speaker 1: and brain systems, who we should point out still does 302 00:19:04,040 --> 00:19:06,800 Speaker 1: work for match dot com. If there are any best 303 00:19:06,880 --> 00:19:10,679 Speaker 1: practices for online dating. The brain is not well built 304 00:19:10,920 --> 00:19:14,040 Speaker 1: to go through a hundred different choices. There's a sweet 305 00:19:14,040 --> 00:19:17,399 Speaker 1: spot in the brain between five and nine, and after 306 00:19:17,480 --> 00:19:20,160 Speaker 1: that you just end up choosing nobody. So if you're 307 00:19:20,200 --> 00:19:24,520 Speaker 1: on a dating site after you've met nine people, stop 308 00:19:25,040 --> 00:19:28,920 Speaker 1: and get to know at least one person. Better think 309 00:19:28,960 --> 00:19:39,840 Speaker 1: of reasons to say yes, no, no, okay, all knows? 310 00:19:39,960 --> 00:19:43,159 Speaker 1: So far, so far we've had one yes and like 311 00:19:43,359 --> 00:19:46,840 Speaker 1: six or seven knows. Remember how at the beginning I 312 00:19:46,880 --> 00:19:50,640 Speaker 1: asked my mom if she wanted to drive my tender account. Well, 313 00:19:51,040 --> 00:19:54,760 Speaker 1: here she is behind the wheel. Ah, he doesn't look 314 00:19:54,800 --> 00:19:58,160 Speaker 1: adventurous enough. And can you tell that from his expression 315 00:19:58,200 --> 00:20:01,320 Speaker 1: or from what he's wearing or what he's in an office? 316 00:20:02,160 --> 00:20:05,880 Speaker 1: We're in an office, I know, but I know we're adventurous. 317 00:20:07,160 --> 00:20:09,960 Speaker 1: Mm hmm. This is not a guy who I would 318 00:20:09,960 --> 00:20:15,800 Speaker 1: have paused on. But I think you should sit right because, okay, 319 00:20:16,960 --> 00:20:19,040 Speaker 1: it's a match. Do you know what that means? Mom? 320 00:20:19,040 --> 00:20:21,560 Speaker 1: That his dad is swiping from his tender accounted? He 321 00:20:21,600 --> 00:20:28,280 Speaker 1: he's sliped right on me too. I admit that watching 322 00:20:28,280 --> 00:20:31,760 Speaker 1: my parents divorce has probably made me a little gun shy. 323 00:20:32,400 --> 00:20:35,840 Speaker 1: They're both kind, sensitive people, and it hurt to see 324 00:20:35,840 --> 00:20:38,679 Speaker 1: them so damn sad, which made it seem all the 325 00:20:38,720 --> 00:20:42,119 Speaker 1: more important to choose my own match carefully. But I 326 00:20:42,160 --> 00:20:44,920 Speaker 1: don't want to set a standard for compatibility so high 327 00:20:44,960 --> 00:20:48,080 Speaker 1: that it's impossible to meet, or worse, makes me an 328 00:20:48,119 --> 00:20:53,080 Speaker 1: ungenerous partner always disappointed with her guy. So Barry's idea 329 00:20:53,160 --> 00:20:56,359 Speaker 1: that compatibility isn't only something you find, it's something you 330 00:20:56,480 --> 00:21:01,080 Speaker 1: create is compelling. How good is good enough? Isn't a 331 00:21:01,160 --> 00:21:04,320 Speaker 1: question to retire after you swipe right, or even after 332 00:21:04,359 --> 00:21:06,640 Speaker 1: you like it and put a ring on it. How 333 00:21:06,680 --> 00:21:10,080 Speaker 1: good can this get? Can be asked every day when 334 00:21:10,119 --> 00:21:13,200 Speaker 1: deciding who makes the pre dawn pot of coffee, how 335 00:21:13,240 --> 00:21:16,600 Speaker 1: the bills are paid, how the compliments are paid, when 336 00:21:16,640 --> 00:21:20,760 Speaker 1: to relent, when to insist on a difficult conversation instead 337 00:21:20,800 --> 00:21:23,600 Speaker 1: of turning off the light to fall asleep alone in 338 00:21:23,640 --> 00:21:27,480 Speaker 1: the same bed. I bet there are many potential relationships 339 00:21:27,520 --> 00:21:30,960 Speaker 1: that any two people could build together. Their decisions in 340 00:21:30,960 --> 00:21:34,480 Speaker 1: the first morning they spend together reverberate through the afternoon. 341 00:21:35,359 --> 00:21:38,520 Speaker 1: The decisions of their youth shape the partnership of later years. 342 00:21:39,680 --> 00:21:42,600 Speaker 1: Choice is not a lever we pull once, It's a 343 00:21:42,600 --> 00:21:57,400 Speaker 1: wheel that's always turning. Okay, here is my revised tender profile. 344 00:21:58,520 --> 00:22:04,840 Speaker 1: Tessa thirty nine design features five ten musician and writer 345 00:22:05,320 --> 00:22:10,960 Speaker 1: half Puerto Rican Water. I like science and milk, chocolate 346 00:22:11,359 --> 00:22:16,800 Speaker 1: and kindness, and I'm looking for a charismatic, smart, trustworthy 347 00:22:16,880 --> 00:22:21,040 Speaker 1: dude who's mostly but not completely grown up. I am 348 00:22:21,040 --> 00:22:28,720 Speaker 1: officially endorsed by Dr Barry Schwartz. Okay, so Deeply Human 349 00:22:28,880 --> 00:22:31,840 Speaker 1: kicks off of the bang big ideas about love. It's 350 00:22:31,840 --> 00:22:33,919 Speaker 1: not just who you pick but what you make together. 351 00:22:34,320 --> 00:22:37,159 Speaker 1: So if you're expecting to fall hard for someone, you 352 00:22:37,240 --> 00:22:40,360 Speaker 1: might have to help dig the hole. So happy shoveling. 353 00:22:43,640 --> 00:22:46,320 Speaker 1: In our next episode, the topic on deck is pain. 354 00:22:47,640 --> 00:22:50,080 Speaker 1: We'll be delving into why we hurt, why some of 355 00:22:50,160 --> 00:22:52,760 Speaker 1: us can't stop, and how pain might shape some of 356 00:22:52,760 --> 00:22:58,240 Speaker 1: the most important parts of our lives. Deeply Human is 357 00:22:58,240 --> 00:23:02,000 Speaker 1: a BBC World Service and American Public Media co production 358 00:23:02,200 --> 00:23:07,240 Speaker 1: with iHeartMedia. Until next time, Curiously, Yours, Dessa,