1 00:00:15,476 --> 00:00:15,916 Speaker 1: Pushkin. 2 00:00:22,796 --> 00:00:26,636 Speaker 2: Hello, this is Troy Hawk, and congratulations on picking the 3 00:00:26,676 --> 00:00:31,076 Speaker 2: Happiness Lab podcast. You are clearly a connoisseur of the 4 00:00:31,116 --> 00:00:32,036 Speaker 2: podcast art. 5 00:00:32,676 --> 00:00:34,836 Speaker 1: We're opening this new season of The Happiness Lab with 6 00:00:34,876 --> 00:00:38,116 Speaker 1: a special salutation from the founder, leading light, and well 7 00:00:38,396 --> 00:00:40,756 Speaker 1: sole member of the International Greader's Guild. 8 00:00:41,036 --> 00:00:45,276 Speaker 2: We appreciate your custom ever so much. Never stop, never change. 9 00:00:45,596 --> 00:00:47,916 Speaker 1: There's an old maxim that if you can't say something nice, 10 00:00:47,996 --> 00:00:50,676 Speaker 1: you shouldn't say anything at all. Troy Hawk lives by 11 00:00:50,676 --> 00:00:54,396 Speaker 1: a related maxim that you can always always say something nice. 12 00:00:54,516 --> 00:00:57,916 Speaker 2: Have a very confident stride, very confident stride. 13 00:00:58,516 --> 00:00:58,836 Speaker 3: Loved it. 14 00:00:59,156 --> 00:01:02,076 Speaker 1: And Troy doesn't just say nice things to podcast listeners. 15 00:01:02,116 --> 00:01:04,436 Speaker 3: Madam, your helix divine. You look like a painting and 16 00:01:04,476 --> 00:01:05,876 Speaker 3: you're just sitting there. It's fantastic. 17 00:01:06,156 --> 00:01:09,396 Speaker 1: He says nice things at every possible opportunity. 18 00:01:09,556 --> 00:01:11,556 Speaker 3: I do it the way you laughed at that pigeon. 19 00:01:11,876 --> 00:01:14,596 Speaker 1: Whenever, wherever, and to whomever possible. 20 00:01:14,636 --> 00:01:16,996 Speaker 3: Of a marvelous white distribution between your fat. 21 00:01:16,996 --> 00:01:18,676 Speaker 1: He compliments strangers on the streets. 22 00:01:18,716 --> 00:01:20,556 Speaker 3: Clearly a man with an eye for detail. 23 00:01:20,316 --> 00:01:24,236 Speaker 1: In stores and cafes and outside football stadiums and tourist attractions. 24 00:01:24,276 --> 00:01:26,916 Speaker 2: Now You're an equal marine blue jeans Field of Dreams. 25 00:01:27,116 --> 00:01:27,636 Speaker 3: Yes you are. 26 00:01:27,796 --> 00:01:30,956 Speaker 1: Troy's mission is simple to meet people, to greet people, 27 00:01:31,156 --> 00:01:34,076 Speaker 1: and to tell everyone he meets the most kind, uplifting 28 00:01:34,116 --> 00:01:34,836 Speaker 1: things possible. 29 00:01:34,996 --> 00:01:39,476 Speaker 2: Doyle heads A love it Wisdom should be cost in marble. 30 00:01:39,636 --> 00:01:41,556 Speaker 1: Now, you might think this is an odd way to 31 00:01:41,556 --> 00:01:42,316 Speaker 1: spend your time. 32 00:01:42,396 --> 00:01:45,836 Speaker 3: I'm very much enjoying your animal print, scoff, Madam. You're wonderful. 33 00:01:46,116 --> 00:01:47,956 Speaker 1: But as we'll see in this special new season of 34 00:01:47,996 --> 00:01:50,476 Speaker 1: The Happiness Lab, it turns out there's a lot we 35 00:01:50,516 --> 00:01:52,916 Speaker 1: get wrong when it comes to improving our social connection. 36 00:01:53,076 --> 00:01:53,996 Speaker 3: I like your energy. 37 00:01:54,116 --> 00:01:56,676 Speaker 2: Your cheeks are pinched with cold, but you're still smiling. 38 00:01:56,716 --> 00:01:57,236 Speaker 3: I like that. 39 00:01:57,796 --> 00:01:59,956 Speaker 1: Over the next few episodes, we'll look at how our 40 00:01:59,996 --> 00:02:02,396 Speaker 1: minds lie to us about the best ways to interact 41 00:02:02,476 --> 00:02:04,756 Speaker 1: with other people. We'll see that we often miss out 42 00:02:04,796 --> 00:02:08,196 Speaker 1: on the maximum happiness that social interaction can provide, in 43 00:02:08,236 --> 00:02:10,036 Speaker 1: part because we don't really. 44 00:02:09,836 --> 00:02:10,356 Speaker 2: Do it right. 45 00:02:11,156 --> 00:02:14,156 Speaker 1: But not to worry, because we'll also be exploring simple 46 00:02:14,156 --> 00:02:17,076 Speaker 1: steps we can take to correct our intuitions and connect 47 00:02:17,276 --> 00:02:20,116 Speaker 1: more effectively. We'll look at how we can become more 48 00:02:20,156 --> 00:02:24,116 Speaker 1: courageous in social situations, how to less awkwardly turn strangers 49 00:02:24,116 --> 00:02:27,196 Speaker 1: into friends, and how we can deepen our existing friendships 50 00:02:27,276 --> 00:02:30,236 Speaker 1: both at home and at work. And the topic of 51 00:02:30,236 --> 00:02:32,916 Speaker 1: today's episode, as you might have guessed from hearing about 52 00:02:32,956 --> 00:02:35,516 Speaker 1: Troy's mission, is how we can all become a bit 53 00:02:35,556 --> 00:02:36,676 Speaker 1: more complimentary. 54 00:02:36,956 --> 00:02:38,836 Speaker 2: You have wonderful, sparkling eyes, sir. 55 00:02:39,036 --> 00:02:40,876 Speaker 3: Never let anyone tell you any different. 56 00:02:41,156 --> 00:02:44,796 Speaker 1: We often think nice things about friends, family members, work, colleagues, 57 00:02:44,796 --> 00:02:48,156 Speaker 1: and even strangers. We don't always say those nice things 58 00:02:48,156 --> 00:02:51,716 Speaker 1: out loud, which is unfortunate because research shows that the 59 00:02:51,796 --> 00:02:54,996 Speaker 1: simple act of complimenting the people around us matters more 60 00:02:55,036 --> 00:03:00,716 Speaker 1: for our own and other people's happiness than we might imagine. 61 00:03:00,756 --> 00:03:02,716 Speaker 1: Our minds are constantly telling us what to do to 62 00:03:02,756 --> 00:03:05,196 Speaker 1: be happy. But what if our minds are wrong? What 63 00:03:05,276 --> 00:03:07,636 Speaker 1: if our minds are lying to us, leading us away 64 00:03:07,676 --> 00:03:10,716 Speaker 1: from what will really make us happy. The good news 65 00:03:10,756 --> 00:03:12,916 Speaker 1: is the understanding the science of the mind can point 66 00:03:12,956 --> 00:03:15,596 Speaker 1: us all that in the right direction. You're listening to 67 00:03:15,636 --> 00:03:17,756 Speaker 1: the Happiness Labs with doctor Laurie Santos. 68 00:03:24,836 --> 00:03:27,876 Speaker 4: Yeah, so okay, here, how about this one. 69 00:03:28,076 --> 00:03:30,316 Speaker 1: We'll hear more from Troy Hawk and his Greeterer's Guild 70 00:03:30,356 --> 00:03:33,276 Speaker 1: a little later, but first I want to introduce Schwan Drau, 71 00:03:33,556 --> 00:03:37,436 Speaker 1: a research scientist at Stanford University. Schwan is an academic 72 00:03:37,476 --> 00:03:40,876 Speaker 1: expert on the psychology of compliments, but she's known personally 73 00:03:40,916 --> 00:03:43,396 Speaker 1: about the power of kind words for much longer than that. 74 00:03:43,636 --> 00:03:46,396 Speaker 4: I still remember one compliment I got when I was 75 00:03:46,596 --> 00:03:49,436 Speaker 4: in high school that really changed my life. 76 00:03:49,996 --> 00:03:53,356 Speaker 1: As a teenager, Schwan attested one particular aspect of her 77 00:03:53,396 --> 00:03:54,276 Speaker 1: physical appearance. 78 00:03:54,676 --> 00:03:57,356 Speaker 4: I have a single eyelid, and I hate that for 79 00:03:57,516 --> 00:03:58,516 Speaker 4: my entire life. 80 00:03:59,476 --> 00:04:02,196 Speaker 1: Single eyelids, which lack the fold that separate the lids 81 00:04:02,196 --> 00:04:04,796 Speaker 1: into two sections, is a pretty common feature in people 82 00:04:04,836 --> 00:04:08,636 Speaker 1: of Asian descent, but Schwan despised it. Over time, she 83 00:04:08,716 --> 00:04:12,836 Speaker 1: grew so unhappy with this seemingly insignificant anatomical detail that 84 00:04:12,956 --> 00:04:15,116 Speaker 1: she was planning a pretty radical solution. 85 00:04:15,556 --> 00:04:18,716 Speaker 4: I was doing a lot of research on double eyelid surgery. 86 00:04:18,756 --> 00:04:21,556 Speaker 4: I would go to Korea. I've saved this little pocket 87 00:04:21,596 --> 00:04:23,716 Speaker 4: of money to actually do this surgery. 88 00:04:23,956 --> 00:04:27,116 Speaker 1: Visiting a plastic surgeon isn't something to enter into lightly. 89 00:04:27,636 --> 00:04:31,076 Speaker 1: There's the expense, the inconvenience, the discomfort, and the risks 90 00:04:31,116 --> 00:04:34,396 Speaker 1: involved in any medical procedure, but Schwan assumed it was 91 00:04:34,436 --> 00:04:37,316 Speaker 1: the only way she'd ever feel better about how she looked, 92 00:04:38,116 --> 00:04:41,196 Speaker 1: but she was wrong. Her self esteem wound up being 93 00:04:41,196 --> 00:04:43,796 Speaker 1: saved not by a surgeon's blade, but by a few 94 00:04:43,876 --> 00:04:47,956 Speaker 1: well chosen words from her high school boyfriend. One day, 95 00:04:47,996 --> 00:04:50,556 Speaker 1: when the pair was hanging out, she took off her sunglasses. 96 00:04:51,036 --> 00:04:53,036 Speaker 1: He simply looked at her and said. 97 00:04:53,396 --> 00:04:57,236 Speaker 4: Your eyes up, beautiful. I was like, really, I thought 98 00:04:57,236 --> 00:05:00,276 Speaker 4: I suck, but that I really put things in a 99 00:05:00,356 --> 00:05:04,316 Speaker 4: different perspective. And after that, I'm like, maybe I'm beautiful. 100 00:05:04,716 --> 00:05:07,956 Speaker 1: Chwan's high school boyfriend couldn't have imagined the powerful effect 101 00:05:08,076 --> 00:05:09,116 Speaker 1: of that one off compliment. 102 00:05:09,476 --> 00:05:12,396 Speaker 4: You often struggle to appreciate accept yourself. You think that 103 00:05:12,436 --> 00:05:15,716 Speaker 4: you're not beautiful enough, accomplished enough. When someone tells you 104 00:05:15,796 --> 00:05:18,516 Speaker 4: that you are beautiful, that means a lot. 105 00:05:18,796 --> 00:05:21,996 Speaker 1: Like most high school romances, Schwan's teen fling did end, 106 00:05:22,516 --> 00:05:25,956 Speaker 1: but in new relationships, Schwan continued to appreciate partners who 107 00:05:25,956 --> 00:05:29,516 Speaker 1: were comfortable giving her compliments. That is until she started 108 00:05:29,596 --> 00:05:32,116 Speaker 1: dating a new guy, someone she really thought could be 109 00:05:32,436 --> 00:05:32,796 Speaker 1: the one. 110 00:05:33,236 --> 00:05:36,956 Speaker 4: I really liked him. He seemed to like me, but 111 00:05:37,076 --> 00:05:40,836 Speaker 4: I wasn't quite sure because he did not give compliments. 112 00:05:40,996 --> 00:05:44,076 Speaker 4: I didn't know if he appreciated me or not, and 113 00:05:44,276 --> 00:05:46,516 Speaker 4: I really struggled to tell how he felt about me. 114 00:05:47,036 --> 00:05:49,556 Speaker 1: And Schwan's worries weren't just about a lack of flattery. 115 00:05:50,076 --> 00:05:53,076 Speaker 1: Her boyfriend's reticence to say nice things made Schwan worried 116 00:05:53,156 --> 00:05:56,276 Speaker 1: he didn't really understand who she was or what really 117 00:05:56,316 --> 00:05:56,956 Speaker 1: mattered to her. 118 00:05:57,276 --> 00:06:01,236 Speaker 4: So I basically broke up with him, and I decided 119 00:06:01,596 --> 00:06:04,156 Speaker 4: that I should move on find someone who liked me, 120 00:06:04,396 --> 00:06:05,356 Speaker 4: and that's what I did. 121 00:06:05,476 --> 00:06:07,396 Speaker 1: I'm just curious, like, when you actually broke up, was 122 00:06:07,436 --> 00:06:09,436 Speaker 1: that the stated reason or you just like, Oh, he 123 00:06:09,436 --> 00:06:10,756 Speaker 1: doesn't like me, I'm just going to break up. 124 00:06:10,996 --> 00:06:14,756 Speaker 4: I didn't say it's exactly about compliments, because I also 125 00:06:14,756 --> 00:06:17,196 Speaker 4: don't want to fish for compliments. I also don't want 126 00:06:17,196 --> 00:06:20,636 Speaker 4: to force compliments. I just felt that maybe we're not 127 00:06:20,836 --> 00:06:23,716 Speaker 4: meant to be with each other because apparently he has 128 00:06:23,796 --> 00:06:26,156 Speaker 4: more important things to talk about or to do. 129 00:06:26,316 --> 00:06:28,436 Speaker 1: So Schwan moved the guy she thought was her forever 130 00:06:28,556 --> 00:06:31,316 Speaker 1: catch into the friend zone and began moving on with 131 00:06:31,356 --> 00:06:32,596 Speaker 1: her life without him. 132 00:06:32,916 --> 00:06:36,076 Speaker 4: After a few months, he suddenly showed up and told 133 00:06:36,076 --> 00:06:39,476 Speaker 4: me that he loved me, and I was shocked that 134 00:06:39,716 --> 00:06:41,796 Speaker 4: he loved me, and I had no idea. 135 00:06:42,276 --> 00:06:45,156 Speaker 1: Schwan's boyfriend said he had liked and admired lots of 136 00:06:45,196 --> 00:06:48,236 Speaker 1: things about her, but it took actually losing her just 137 00:06:48,276 --> 00:06:51,396 Speaker 1: spur him into saying any of the complimentary things he felt. 138 00:06:51,756 --> 00:06:54,316 Speaker 4: Well, a long story short, athlete told me that he 139 00:06:54,396 --> 00:06:57,996 Speaker 4: loved me and he appreciated all these amazing qualities in me. 140 00:06:58,356 --> 00:07:01,756 Speaker 4: We started dating again and we got married last year, 141 00:07:01,916 --> 00:07:05,156 Speaker 4: so we are celebrating our anniversary in about a week. 142 00:07:05,636 --> 00:07:08,276 Speaker 1: In the end, Schwan's story had a happy ending, but 143 00:07:08,356 --> 00:07:11,236 Speaker 1: she also realized just how easily things could have gone 144 00:07:11,276 --> 00:07:11,876 Speaker 1: a different way. 145 00:07:12,356 --> 00:07:16,396 Speaker 4: And I was fascinated, and I wondered why he never 146 00:07:16,476 --> 00:07:19,276 Speaker 4: realized that he should have told me how he felt 147 00:07:19,316 --> 00:07:22,236 Speaker 4: about me, how he viewed me, what kind of qualities 148 00:07:22,356 --> 00:07:23,636 Speaker 4: he appreciated in me. 149 00:07:24,276 --> 00:07:27,196 Speaker 1: These questions weighed on Schwan so much that she decided 150 00:07:27,196 --> 00:07:31,396 Speaker 1: to study them scientifically. She dedicated her postdoctoral studies to 151 00:07:31,476 --> 00:07:35,596 Speaker 1: investigating the psychology of compliments, and she chose to train 152 00:07:35,716 --> 00:07:38,556 Speaker 1: at the University of Chicago with an expert who just 153 00:07:38,636 --> 00:07:41,396 Speaker 1: happens to be a very good friend of the Happiness Lab, 154 00:07:41,796 --> 00:07:43,236 Speaker 1: psychologist Nick Eppie. 155 00:07:43,516 --> 00:07:47,276 Speaker 5: There are lots of sources of well being standing around you. 156 00:07:47,276 --> 00:07:48,876 Speaker 3: You just have to tap into them. 157 00:07:49,036 --> 00:07:51,796 Speaker 1: Next, research focuses on the happiness benefits we get from 158 00:07:51,836 --> 00:07:54,756 Speaker 1: other people, all the ways that a quick complimentary word 159 00:07:54,836 --> 00:07:58,236 Speaker 1: or short conversation with a stranger can make us feel better, way, 160 00:07:58,276 --> 00:07:59,836 Speaker 1: way better than we expect. 161 00:08:00,076 --> 00:08:02,396 Speaker 5: Even when we do want to connect with others, even 162 00:08:02,436 --> 00:08:05,396 Speaker 5: when we are interested in engaging with somebody else, there's 163 00:08:05,436 --> 00:08:06,916 Speaker 5: a wall there as well. 164 00:08:06,956 --> 00:08:09,036 Speaker 1: Here In this season, Nicks conducted a ton of big 165 00:08:09,116 --> 00:08:12,276 Speaker 1: experiments to figure out where this wall comes from. Why 166 00:08:12,316 --> 00:08:15,436 Speaker 1: we don't give compliments or express gratitude or engage with 167 00:08:15,516 --> 00:08:19,236 Speaker 1: people nearly as much as we should. One reason, says Nick, 168 00:08:19,516 --> 00:08:21,316 Speaker 1: is that we often struggle to work out what other 169 00:08:21,316 --> 00:08:23,996 Speaker 1: people appreciate about us or expect from us. 170 00:08:24,276 --> 00:08:26,636 Speaker 5: Another person's mind's the most complicated thing you're going to 171 00:08:26,676 --> 00:08:27,916 Speaker 5: ever think about. 172 00:08:28,276 --> 00:08:30,436 Speaker 1: We're bad at predicting how other people will react to 173 00:08:30,476 --> 00:08:34,036 Speaker 1: our social gestures. We underestimate how nice someone will feel 174 00:08:34,076 --> 00:08:36,716 Speaker 1: when they receive a compliment or hear some words of gratitude, 175 00:08:36,796 --> 00:08:39,996 Speaker 1: or share a spile. But Nick says we also fail 176 00:08:40,076 --> 00:08:42,796 Speaker 1: to recognize how good we'll feel when we engage in 177 00:08:42,836 --> 00:08:47,836 Speaker 1: social connection. Nick calls this under sociality. We underestimate the 178 00:08:47,836 --> 00:08:51,436 Speaker 1: happiness benefits that stem from social interaction, both for ourselves 179 00:08:51,756 --> 00:08:55,116 Speaker 1: and for the people we interact with. Nick has studied 180 00:08:55,156 --> 00:08:58,836 Speaker 1: under sociality in many contexts and chatting with strangers and 181 00:08:58,876 --> 00:09:02,516 Speaker 1: expressing gratitude and even and asking for help. But with Schwan, 182 00:09:02,756 --> 00:09:06,836 Speaker 1: he wanted to explore undersociality when it came to giving compliments. 183 00:09:07,276 --> 00:09:10,236 Speaker 4: We all want to be appreciated, it be seen by 184 00:09:10,276 --> 00:09:13,356 Speaker 4: other people who especially those people who we care about, 185 00:09:13,876 --> 00:09:15,916 Speaker 4: So there has been a lot of research on how 186 00:09:16,036 --> 00:09:19,636 Speaker 4: receiving compliments not only just brightens our mood, but also 187 00:09:19,676 --> 00:09:21,836 Speaker 4: improves our well being our happiness. 188 00:09:22,436 --> 00:09:25,556 Speaker 1: The problem, Schwan thought is that undersociolity may cause an 189 00:09:25,596 --> 00:09:28,596 Speaker 1: emotional gulf between how we imagine our compliments will be 190 00:09:28,636 --> 00:09:31,196 Speaker 1: received and the real reaction we get when we say 191 00:09:31,196 --> 00:09:34,556 Speaker 1: something nice. To test this idea, she and her assistants 192 00:09:34,556 --> 00:09:37,196 Speaker 1: headed to a popular park. They set up a table 193 00:09:37,276 --> 00:09:39,476 Speaker 1: and tried to recruit every pair of friends they saw 194 00:09:39,596 --> 00:09:40,156 Speaker 1: walking by. 195 00:09:40,636 --> 00:09:44,036 Speaker 4: Hi, we are researchers from the University of Chicago. We 196 00:09:44,196 --> 00:09:48,116 Speaker 4: have a study about interpersonal communication. Would you be interested 197 00:09:48,156 --> 00:09:49,756 Speaker 4: in participating in our research? 198 00:09:50,316 --> 00:09:53,596 Speaker 1: Willing participants were then divided up. The first person was 199 00:09:53,636 --> 00:09:57,236 Speaker 1: made the complimenter and told please list three positive things 200 00:09:57,236 --> 00:09:59,676 Speaker 1: about your friend that you have noticed but for whatever reason, 201 00:09:59,796 --> 00:10:01,396 Speaker 1: have not had a chance to compliment them on. 202 00:10:01,476 --> 00:10:01,756 Speaker 3: Yet. 203 00:10:02,036 --> 00:10:04,796 Speaker 4: After they wrote down the compliments, we asked them to 204 00:10:04,916 --> 00:10:07,676 Speaker 4: predict how you think the recipient would feel. 205 00:10:08,236 --> 00:10:11,236 Speaker 1: The second person, the recipient, then read those compliments and 206 00:10:11,396 --> 00:10:14,436 Speaker 1: was asked how they felt. It probably won't surprise you 207 00:10:14,476 --> 00:10:17,636 Speaker 1: that the recipients were much happier than the complimenters had predicted. 208 00:10:18,196 --> 00:10:20,716 Speaker 1: Complimenters were off by an entire point on a ten 209 00:10:20,756 --> 00:10:25,956 Speaker 1: point happiness scale. Complimenters also significantly overestimated the awkwardness of 210 00:10:25,996 --> 00:10:29,036 Speaker 1: the experience. They assumed their kind words would be met 211 00:10:29,036 --> 00:10:32,316 Speaker 1: by at least some level of cringiness, but recipients were 212 00:10:32,316 --> 00:10:35,436 Speaker 1: mostly just psyched. When we get back from the break, 213 00:10:35,556 --> 00:10:38,036 Speaker 1: we'll discuss more of the hurdles you need to overcome 214 00:10:38,116 --> 00:10:41,396 Speaker 1: to become a better complimenter, and excitingly, we'll do so 215 00:10:41,636 --> 00:10:42,836 Speaker 1: with the help of a professional. 216 00:10:43,516 --> 00:10:43,796 Speaker 3: Hello. 217 00:10:43,916 --> 00:10:46,276 Speaker 2: This is Troy Hawk, and I just want to utter 218 00:10:46,876 --> 00:10:50,796 Speaker 2: my heartfelt appreciation for you making it thus far. Look 219 00:10:50,796 --> 00:10:54,476 Speaker 2: at your bigger beast on the back. Never stop, never change, 220 00:10:54,796 --> 00:10:56,516 Speaker 2: enjoy the rest. I'm sure you will. 221 00:10:56,876 --> 00:10:58,836 Speaker 1: The Happiness Lab will be right back. 222 00:11:04,676 --> 00:11:07,716 Speaker 2: A well delivered compliment is like a free drug that 223 00:11:07,796 --> 00:11:10,436 Speaker 2: gets them high and it gets you high. 224 00:11:10,796 --> 00:11:13,436 Speaker 1: Well, this may sound a lot like Master Greeter Troy Hawk, 225 00:11:13,476 --> 00:11:16,276 Speaker 1: who you met earlier. I'm actually talking to Troy's alter 226 00:11:16,396 --> 00:11:20,276 Speaker 1: ego and creator, the comedian Milo McCabe, because it turns 227 00:11:20,276 --> 00:11:22,956 Speaker 1: out that Troy Hawk is not exactly a real person. 228 00:11:23,716 --> 00:11:26,556 Speaker 1: Milo invented Troy's character a few years ago when he 229 00:11:26,636 --> 00:11:29,716 Speaker 1: was searching for a new persona for the Edinburgh Comedy Festival. 230 00:11:30,076 --> 00:11:32,796 Speaker 1: Troy's comic backstory is that he was homeschooled by a 231 00:11:32,876 --> 00:11:35,676 Speaker 1: rather strange mother who kept him shielded from the realities 232 00:11:35,716 --> 00:11:36,196 Speaker 1: of the world. 233 00:11:36,556 --> 00:11:40,476 Speaker 2: She wanted to mold him into the exact shape that 234 00:11:40,636 --> 00:11:45,156 Speaker 2: she wanted him to be, and that shape has ended 235 00:11:45,236 --> 00:11:51,236 Speaker 2: up being a very Errol Flynn Stroke David nebanesque nineteen 236 00:11:51,356 --> 00:11:53,916 Speaker 2: thirty stroke forties English movie idol. 237 00:11:54,476 --> 00:11:57,636 Speaker 1: To become Troy, Milo grows a thin pencil mustache and 238 00:11:57,716 --> 00:12:01,236 Speaker 1: don's a colorful silk scarf and smoking jacket. He looks 239 00:12:01,236 --> 00:12:04,436 Speaker 1: every inch the classic movie star, which means that in public, 240 00:12:04,716 --> 00:12:08,356 Speaker 1: alongside the average people and sneakers in sweatpants, Troy stands 241 00:12:08,356 --> 00:12:11,116 Speaker 1: out like a sort them, but that is part of 242 00:12:11,156 --> 00:12:12,116 Speaker 1: Milo's comedic plan. 243 00:12:12,676 --> 00:12:18,796 Speaker 2: The oddness of Troy's upbringing has led him to question 244 00:12:19,156 --> 00:12:23,676 Speaker 2: a lot of things about himself, about society, et cetera, 245 00:12:23,756 --> 00:12:24,236 Speaker 2: et cetera. 246 00:12:24,636 --> 00:12:27,236 Speaker 1: One of the things Troy questions is how people interact 247 00:12:27,236 --> 00:12:30,596 Speaker 1: with one another. Unlike most people, Troy never hesitates to 248 00:12:30,596 --> 00:12:33,556 Speaker 1: strike up a conversation, and when he does, he's extremely 249 00:12:33,596 --> 00:12:37,996 Speaker 1: polite and complimentary. But compliments weren't originally part of Troy's 250 00:12:37,996 --> 00:12:41,596 Speaker 1: comic repertoire. Milo's original intent was simply to put his 251 00:12:41,676 --> 00:12:45,356 Speaker 1: alter ego in odd situations and film the results. Blake 252 00:12:45,436 --> 00:12:48,076 Speaker 1: the time Troy walked into a store and pretended that 253 00:12:48,156 --> 00:12:48,716 Speaker 1: he worked there. 254 00:12:48,796 --> 00:12:51,916 Speaker 2: So Willco's is like a local convenience store. It's like 255 00:12:52,276 --> 00:12:55,756 Speaker 2: Walmart or something like that. So I decided to get 256 00:12:55,756 --> 00:12:58,236 Speaker 2: a will Co fleece and show up at this place 257 00:12:58,276 --> 00:13:01,476 Speaker 2: with a cameraman and just start working there and see 258 00:13:01,596 --> 00:13:04,196 Speaker 2: how long it would take before anyone threw me out. 259 00:13:04,316 --> 00:13:07,076 Speaker 1: The problem was British people kind of hate to make 260 00:13:07,076 --> 00:13:07,636 Speaker 1: a scene. 261 00:13:07,876 --> 00:13:12,316 Speaker 2: So I'm just working up the shelves, I'm helping customers. 262 00:13:12,756 --> 00:13:15,996 Speaker 2: I'm in there for an hour, and eventually I'm like, 263 00:13:16,236 --> 00:13:17,796 Speaker 2: are they ever going to kick us out? 264 00:13:18,316 --> 00:13:20,796 Speaker 1: The footage my loog gathered was charming, but it wasn't 265 00:13:20,796 --> 00:13:21,476 Speaker 1: all that funny. 266 00:13:21,556 --> 00:13:23,356 Speaker 2: So me and the guy that was filming we took 267 00:13:23,396 --> 00:13:27,076 Speaker 2: a break to formulate a strategy as to how I could, 268 00:13:27,116 --> 00:13:30,156 Speaker 2: despite the fact that I'm this nineteen thirties gentleman who 269 00:13:30,236 --> 00:13:32,996 Speaker 2: suddenly shown up working in their store, how I could 270 00:13:32,996 --> 00:13:35,516 Speaker 2: attract a bit more attention to the point where they'd 271 00:13:35,556 --> 00:13:38,596 Speaker 2: actually look at me and go, hang on a second, 272 00:13:38,756 --> 00:13:41,356 Speaker 2: this isn't quite right, And he said, why don't you 273 00:13:41,396 --> 00:13:42,436 Speaker 2: greet people at the door? 274 00:13:42,676 --> 00:13:45,316 Speaker 3: Welcome to Wilco, sir, Welcome to Wilcose. 275 00:13:45,036 --> 00:13:48,076 Speaker 1: Chatting to customers as they entered the store was much funnier. 276 00:13:48,236 --> 00:13:49,676 Speaker 1: Do let me know if you need help with any 277 00:13:49,676 --> 00:13:52,716 Speaker 1: wick writings. It also definitely caught the attention of the 278 00:13:52,756 --> 00:13:53,916 Speaker 1: staff at will goes. 279 00:13:53,876 --> 00:13:55,596 Speaker 3: Hello, that you what are you doing here? 280 00:13:56,156 --> 00:13:58,836 Speaker 2: Suddenly the general manager comes out. He's like, puuce, his 281 00:13:58,916 --> 00:13:59,556 Speaker 2: head's perpo. 282 00:13:59,636 --> 00:14:00,276 Speaker 3: He's furious. 283 00:14:00,436 --> 00:14:02,076 Speaker 2: So I don't want any money, so that if you've 284 00:14:02,076 --> 00:14:03,956 Speaker 2: come out here to pay me, then that's absolutely fun. 285 00:14:04,236 --> 00:14:06,156 Speaker 3: No, No, I think you need to step away. 286 00:14:05,956 --> 00:14:08,756 Speaker 2: From If he's demanding my Wilco fleece, I point out 287 00:14:08,796 --> 00:14:11,636 Speaker 2: that I'm made it myself, I did, and eventually boots 288 00:14:11,636 --> 00:14:11,836 Speaker 2: me up. 289 00:14:11,876 --> 00:14:13,556 Speaker 1: So yeah, if you if you weren't one, please leading 290 00:14:13,556 --> 00:14:13,996 Speaker 1: the seventies. 291 00:14:14,396 --> 00:14:17,156 Speaker 3: If you're not welcome on books. 292 00:14:17,876 --> 00:14:20,316 Speaker 1: Milo edited the footage and put it up on YouTube, 293 00:14:20,676 --> 00:14:22,996 Speaker 1: hoping it would attract a bigger audience for his stand 294 00:14:23,076 --> 00:14:26,516 Speaker 1: up shows, but the video totally blew up. People went 295 00:14:26,596 --> 00:14:28,396 Speaker 1: crazy for Troy's greeter act. 296 00:14:28,476 --> 00:14:32,596 Speaker 2: And some random person on TikTok, actually I think it was. 297 00:14:32,716 --> 00:14:36,676 Speaker 2: I remember them the handle b three RN underscore one 298 00:14:36,796 --> 00:14:39,876 Speaker 2: one one one just comment why don't you do this 299 00:14:39,916 --> 00:14:42,716 Speaker 2: to other places? And I thought, I a good idea 300 00:14:42,876 --> 00:14:45,836 Speaker 2: be three RN underscore underscore one more more month. 301 00:14:46,196 --> 00:14:48,796 Speaker 1: And so the International Greeters Guild was born. 302 00:14:49,436 --> 00:14:51,516 Speaker 3: Do your purple hair, madam? Thank you. 303 00:14:51,556 --> 00:14:55,116 Speaker 1: Giving compliments to total strangers became the staple of Troy's 304 00:14:55,116 --> 00:14:56,236 Speaker 1: comic persona. 305 00:14:56,036 --> 00:14:57,956 Speaker 3: I Love the Orange it poff. 306 00:14:57,876 --> 00:15:00,916 Speaker 1: And Milo wound up with viral video after viral videos. 307 00:15:00,756 --> 00:15:03,356 Speaker 2: Helek's freshly washed, It's adorable, get in there. 308 00:15:03,236 --> 00:15:03,876 Speaker 3: Buy everything. 309 00:15:04,036 --> 00:15:06,836 Speaker 1: Rather than throwing Troy out into the streets, businesses now 310 00:15:06,876 --> 00:15:10,676 Speaker 1: welcomed him. So too did soccer clubs, sporting tournaments and 311 00:15:10,716 --> 00:15:11,636 Speaker 1: boxing promoters. 312 00:15:11,916 --> 00:15:14,516 Speaker 3: They're very kindly eyes it didn't go on nurses. 313 00:15:14,876 --> 00:15:17,556 Speaker 1: But why were people so taken by a polite man 314 00:15:17,716 --> 00:15:21,156 Speaker 1: saying nice things? Why was it so remarkable. 315 00:15:20,956 --> 00:15:24,836 Speaker 2: Because British people darn't do it because the worlds are repressed. 316 00:15:25,316 --> 00:15:27,916 Speaker 1: But the science shows it's not just British people who 317 00:15:27,916 --> 00:15:31,396 Speaker 1: are repressed when it comes to giving compliments. When psychologists 318 00:15:31,476 --> 00:15:34,476 Speaker 1: Nick Epley and Schuan Jao first began their compliment studies, 319 00:15:34,796 --> 00:15:37,036 Speaker 1: they started out with a quick survey that flat out 320 00:15:37,036 --> 00:15:39,556 Speaker 1: asked people if they thought they shared enough kind words 321 00:15:39,596 --> 00:15:40,796 Speaker 1: with the people they cared about. 322 00:15:41,076 --> 00:15:43,836 Speaker 4: People report that they think they don't give enough compliments. 323 00:15:44,076 --> 00:15:46,796 Speaker 4: They often notice nice things the other people, but they 324 00:15:46,836 --> 00:15:47,916 Speaker 4: don't verbalize it. 325 00:15:48,636 --> 00:15:50,996 Speaker 1: We already heard about Nick and Chuan study showing that 326 00:15:51,036 --> 00:15:54,596 Speaker 1: people underestimate how much joy a compliment can bring another person. 327 00:15:55,116 --> 00:15:57,636 Speaker 1: But what other factors prevent us from giving the true 328 00:15:57,716 --> 00:16:01,716 Speaker 1: volume of compliments we probably should. One big factor, Nick says, 329 00:16:01,916 --> 00:16:03,116 Speaker 1: is performance anxiety. 330 00:16:03,436 --> 00:16:05,356 Speaker 5: You know I'm giving you a compliment, how good does 331 00:16:05,396 --> 00:16:08,356 Speaker 5: it sound? How articulate is it? And how capable am 332 00:16:08,396 --> 00:16:09,676 Speaker 5: I of making you better? 333 00:16:09,996 --> 00:16:13,236 Speaker 1: Nick says, we fixate on performance and lots of social situations. 334 00:16:13,796 --> 00:16:16,036 Speaker 1: We fear that we'll come across as dorky or dumb, 335 00:16:16,396 --> 00:16:18,596 Speaker 1: that will use the wrong words or flub the delivery, 336 00:16:18,996 --> 00:16:22,116 Speaker 1: and that we'll wind up just embarrassing ourselves. But Nick 337 00:16:22,156 --> 00:16:24,996 Speaker 1: and Schwan's research has shown that recipients don't really care 338 00:16:24,996 --> 00:16:28,476 Speaker 1: about our performance. They are being judgy, but they're judging 339 00:16:28,556 --> 00:16:31,796 Speaker 1: us by a totally different criterion, our warmth. 340 00:16:31,716 --> 00:16:34,716 Speaker 5: How nice and friendly and kind we Nick. 341 00:16:34,556 --> 00:16:37,836 Speaker 1: And Schwan have observed this pattern time and again. Recipients 342 00:16:37,836 --> 00:16:40,836 Speaker 1: of compliments simply don't care about the complimenter's word choice 343 00:16:40,956 --> 00:16:43,916 Speaker 1: or performance. They were just happy that someone took a 344 00:16:43,996 --> 00:16:47,556 Speaker 1: genuine interest that the compliment giver noticed something truly good 345 00:16:47,596 --> 00:16:51,196 Speaker 1: about them. So that's mistake number one. We wind up 346 00:16:51,236 --> 00:16:54,036 Speaker 1: concentrating so much on the quality of our compliment giving 347 00:16:54,116 --> 00:16:56,956 Speaker 1: that we completely mispredict how awkward a recipient will feel. 348 00:16:57,516 --> 00:17:00,596 Speaker 1: And Nick has found that these pessimistic mispredictions matter. 349 00:17:00,396 --> 00:17:04,196 Speaker 5: A lot because it's those expectations that fundamentally drive your choice. 350 00:17:04,196 --> 00:17:06,836 Speaker 5: If you think engaging in a conversation with somebody, for 351 00:17:06,956 --> 00:17:09,476 Speaker 5: giving a compliment to somebody is going to be weird 352 00:17:09,556 --> 00:17:11,516 Speaker 5: or awkward, or it's not going to turn out so well, 353 00:17:11,836 --> 00:17:13,116 Speaker 5: you're not going to reach out and do it you 354 00:17:13,196 --> 00:17:16,956 Speaker 5: might miss an opportunity to engage with somebody that otherwise. 355 00:17:16,636 --> 00:17:17,236 Speaker 3: You could have had. 356 00:17:17,716 --> 00:17:20,716 Speaker 1: But Nick says there's also a second misprediction that prevents 357 00:17:20,796 --> 00:17:23,036 Speaker 1: us from sharing as many kind woords as we should. 358 00:17:23,196 --> 00:17:25,196 Speaker 5: Many of the folks said this wasn't the right time 359 00:17:25,236 --> 00:17:26,876 Speaker 5: to do it, but they were going to wait for 360 00:17:26,956 --> 00:17:27,676 Speaker 5: the right time. 361 00:17:28,076 --> 00:17:30,236 Speaker 1: If you've listened to other episodes of the Happiness Lab, 362 00:17:30,356 --> 00:17:32,956 Speaker 1: you've probably already heard about how biased we are when 363 00:17:32,956 --> 00:17:35,556 Speaker 1: it comes to our perception of time. That we're prone 364 00:17:35,556 --> 00:17:38,436 Speaker 1: to putting off happiness inducing actions now because we assume 365 00:17:38,476 --> 00:17:41,156 Speaker 1: we'll remember to do them later. And this bias, it 366 00:17:41,196 --> 00:17:44,476 Speaker 1: turns out, also prevents us from giving compliments. It's a 367 00:17:44,516 --> 00:17:47,036 Speaker 1: problem that even an expert like Nick has fallen prey to, 368 00:17:47,876 --> 00:17:50,516 Speaker 1: like the time he failed to commend a university colleague 369 00:17:50,516 --> 00:17:54,276 Speaker 1: on a well deserved promotion that missed opportunity ate away 370 00:17:54,276 --> 00:17:54,636 Speaker 1: at him. 371 00:17:54,956 --> 00:17:56,996 Speaker 5: It had been months and months, I mean a long 372 00:17:57,076 --> 00:17:59,556 Speaker 5: time had passed and I just hadn't seen her. And 373 00:17:59,596 --> 00:18:02,436 Speaker 5: I saw her in the hallway yesterday, and that's too late. 374 00:18:02,596 --> 00:18:05,356 Speaker 5: The timing's all wrong. But I knew that was dumb, 375 00:18:05,596 --> 00:18:07,756 Speaker 5: and so I just told her, and how valued she 376 00:18:07,996 --> 00:18:09,836 Speaker 5: was by the faculty year. I hope that she had 377 00:18:09,836 --> 00:18:11,876 Speaker 5: heard that, and of course she felt great. 378 00:18:12,756 --> 00:18:15,636 Speaker 1: But it's not just performance anxiety and bad timing that 379 00:18:15,716 --> 00:18:17,796 Speaker 1: prevent us from sharing what we love about the people 380 00:18:17,836 --> 00:18:20,876 Speaker 1: around us. Chwan says. We also fall prey to a 381 00:18:20,916 --> 00:18:24,276 Speaker 1: third bias. We assume that people are already aware of 382 00:18:24,316 --> 00:18:25,236 Speaker 1: all their good traits. 383 00:18:26,036 --> 00:18:29,036 Speaker 4: I won't give this compliment because that person already knows this. 384 00:18:29,476 --> 00:18:31,276 Speaker 4: Someone else must have told them about this. 385 00:18:31,916 --> 00:18:34,596 Speaker 1: Schwan thinks we implicitly assume that the whole point of 386 00:18:34,596 --> 00:18:37,276 Speaker 1: compliments is simply to share some positive fact about the 387 00:18:37,276 --> 00:18:38,996 Speaker 1: recipient so they're aware of it. 388 00:18:39,036 --> 00:18:41,716 Speaker 4: But it's not. It's about beauting relationship. 389 00:18:42,316 --> 00:18:45,876 Speaker 1: Recognizing this relationship building reason behind our compliments has helped 390 00:18:45,876 --> 00:18:48,676 Speaker 1: Schwan explain a strange finding that she and Nick observed 391 00:18:48,676 --> 00:18:51,836 Speaker 1: in their studies. The power of compliments doesn't seem to 392 00:18:51,836 --> 00:18:55,156 Speaker 1: degrade over time. Most of our happiness is subject to 393 00:18:55,196 --> 00:18:57,876 Speaker 1: what's called adaptation. We tend to get used to the 394 00:18:57,916 --> 00:19:01,036 Speaker 1: good things we experience over time. Nick and Schwan had 395 00:19:01,036 --> 00:19:04,596 Speaker 1: originally assumed that we show adaptation for compliments too, that 396 00:19:04,676 --> 00:19:07,556 Speaker 1: giving a compliment over and over would weaken the positive 397 00:19:07,596 --> 00:19:11,156 Speaker 1: effect a recipient would get from your kind words. Think, honey, 398 00:19:11,196 --> 00:19:14,156 Speaker 1: those scrambled eggs were great. You did a great job 399 00:19:14,236 --> 00:19:18,196 Speaker 1: tidying the yard. That's a great outfit. You might assume 400 00:19:18,236 --> 00:19:21,556 Speaker 1: that that third grade might start sounding a little less 401 00:19:21,556 --> 00:19:24,636 Speaker 1: sincere Nick and Chwan decided to test whether this was 402 00:19:24,676 --> 00:19:26,876 Speaker 1: the case by getting people to say nice things to 403 00:19:26,916 --> 00:19:30,356 Speaker 1: a close friend every day for five days. They recruited 404 00:19:30,356 --> 00:19:33,436 Speaker 1: a group of participants to serve as complimenters and asked 405 00:19:33,436 --> 00:19:35,916 Speaker 1: them to write five positive things about a good friend. 406 00:19:36,396 --> 00:19:39,156 Speaker 1: They then emailed each of these five compliments one by 407 00:19:39,196 --> 00:19:42,076 Speaker 1: one to recipients over the course of five days, and 408 00:19:42,116 --> 00:19:44,916 Speaker 1: then surveyed how they felt. What did Nick and Chwan 409 00:19:44,996 --> 00:19:48,276 Speaker 1: find Well, it turns out that their adaptation prediction was 410 00:19:48,316 --> 00:19:52,036 Speaker 1: dead wrong. Recipients really liked the compliment they received on 411 00:19:52,116 --> 00:19:54,396 Speaker 1: day one. They said they were at a nine out 412 00:19:54,396 --> 00:19:57,156 Speaker 1: of ten on a positive mood scale. But they also 413 00:19:57,436 --> 00:19:59,836 Speaker 1: really liked the compliment they received on every day of 414 00:19:59,876 --> 00:20:03,636 Speaker 1: the study. Even by day five, that flattered positive vibe 415 00:20:03,716 --> 00:20:07,436 Speaker 1: hadn't worn off. If anything, recipients reported being a tiny 416 00:20:07,436 --> 00:20:09,916 Speaker 1: bit happier by the end of the week. And to 417 00:20:09,956 --> 00:20:12,836 Speaker 1: further emphasize the importance of actually voicing nice things to 418 00:20:12,876 --> 00:20:15,716 Speaker 1: the people we love. Schwan shared a poignant PostScript to 419 00:20:15,756 --> 00:20:19,036 Speaker 1: this adaptation experiment. At the end of the study, Schwan 420 00:20:19,116 --> 00:20:21,596 Speaker 1: sent the recipients a short final survey just to see 421 00:20:21,596 --> 00:20:24,316 Speaker 1: if they had any questions about the experiment. One of 422 00:20:24,356 --> 00:20:27,596 Speaker 1: the recipients did have a question, one that Schwan found 423 00:20:27,716 --> 00:20:28,476 Speaker 1: pretty shocking. 424 00:20:29,036 --> 00:20:31,756 Speaker 4: She said, I don't know if I'm qualified to be 425 00:20:31,876 --> 00:20:35,836 Speaker 4: this study because my friend actually passed away in the 426 00:20:35,916 --> 00:20:36,716 Speaker 4: past week. 427 00:20:37,196 --> 00:20:39,636 Speaker 1: A few days after taking part in the experiment, one 428 00:20:39,676 --> 00:20:42,116 Speaker 1: of the complimenters in Schwan's study was killed in a 429 00:20:42,156 --> 00:20:45,196 Speaker 1: tragic car crash. I want to learn more from you, 430 00:20:45,356 --> 00:20:47,876 Speaker 1: she had written to the recipient. On another day, she 431 00:20:47,956 --> 00:20:50,476 Speaker 1: told her friend that she had a nice smile. Her 432 00:20:50,516 --> 00:20:53,596 Speaker 1: final compliment was simply you care about people and people 433 00:20:53,716 --> 00:20:57,156 Speaker 1: like you. These kind words were deeply comforting to the 434 00:20:57,196 --> 00:20:59,516 Speaker 1: recipient after her unexpected. 435 00:20:58,876 --> 00:21:02,076 Speaker 4: Loss, and she also wrote a really nice email to 436 00:21:02,116 --> 00:21:06,276 Speaker 4: me afterwards, expressing how she appreciated having this opportunity to 437 00:21:06,316 --> 00:21:07,276 Speaker 4: hear from her friend. 438 00:21:07,716 --> 00:21:10,716 Speaker 1: During the email exchange, the recipient wrote, I will remember 439 00:21:10,716 --> 00:21:14,236 Speaker 1: her forever, my dear friend, Thank you for providing me 440 00:21:14,276 --> 00:21:16,436 Speaker 1: a chance to still hear from her, even if I 441 00:21:16,516 --> 00:21:21,196 Speaker 1: lost her. This tragic story really struck a chord with me. 442 00:21:21,476 --> 00:21:23,996 Speaker 1: How many times do I think something nice about a friend, 443 00:21:24,076 --> 00:21:26,916 Speaker 1: or family member or work colleague, but just walk away 444 00:21:27,036 --> 00:21:30,316 Speaker 1: without actually saying it. Not to get all morbid, but 445 00:21:30,356 --> 00:21:32,756 Speaker 1: there's likely going to be one unlucky day that I 446 00:21:32,836 --> 00:21:36,076 Speaker 1: might not get a second chance. So why don't we 447 00:21:36,116 --> 00:21:38,716 Speaker 1: all commit right now to sharing as many kind words 448 00:21:38,756 --> 00:21:41,876 Speaker 1: as we can. After the break, we'll get some practical 449 00:21:41,916 --> 00:21:44,596 Speaker 1: tips on how we can do just that. We'll hear 450 00:21:44,676 --> 00:21:47,876 Speaker 1: that there are strategies we can use to become masterful, confident, 451 00:21:47,956 --> 00:21:50,956 Speaker 1: and even happier compliment givers, and we'll get all this 452 00:21:51,076 --> 00:21:53,516 Speaker 1: helpful expert advice from the guy who does it for 453 00:21:53,556 --> 00:21:53,956 Speaker 1: a living. 454 00:21:54,556 --> 00:21:56,716 Speaker 3: First couple of times I did it, I was nervous. 455 00:21:56,756 --> 00:22:00,316 Speaker 2: But what I think is interesting is giving the compliments 456 00:22:00,436 --> 00:22:02,756 Speaker 2: and literally saying every one of them. 457 00:22:02,796 --> 00:22:05,276 Speaker 1: Land The Happiness Lab will be back in a moment. 458 00:22:12,356 --> 00:22:14,956 Speaker 1: Over the course of this new series on being more social, 459 00:22:15,236 --> 00:22:17,836 Speaker 1: I'll be extolling the virtues of many different kinds of 460 00:22:17,876 --> 00:22:22,876 Speaker 1: social interactions, but not all of them. I like receiving 461 00:22:22,916 --> 00:22:25,716 Speaker 1: compliments as much as anyone, but I certainly don't want 462 00:22:25,756 --> 00:22:27,916 Speaker 1: some jerk approaching me on the street and saying I 463 00:22:28,036 --> 00:22:31,116 Speaker 1: have a pretty face if I smiled more, and social 464 00:22:31,156 --> 00:22:34,876 Speaker 1: interaction afficionado Nick Eppley agrees. He thinks that's not the 465 00:22:34,916 --> 00:22:37,116 Speaker 1: type of compliment people should be throwing around. 466 00:22:37,436 --> 00:22:39,636 Speaker 5: The ones that are not received well are the ones 467 00:22:39,636 --> 00:22:43,276 Speaker 5: that are inauthentic, the ones that aren't really intended to 468 00:22:43,316 --> 00:22:46,276 Speaker 5: make the other person feel good, the ones that seem 469 00:22:46,396 --> 00:22:50,756 Speaker 5: forced or are indeed creepy, that are mostly oriented towards 470 00:22:50,836 --> 00:22:53,596 Speaker 5: the self and not oriented towards the other. Our data 471 00:22:53,676 --> 00:22:56,076 Speaker 5: do not suggest you should go around all the time 472 00:22:56,516 --> 00:22:59,156 Speaker 5: saying nice things to other people no matter what. Our 473 00:22:59,236 --> 00:23:01,796 Speaker 5: data suggests that when you have a nice thing to 474 00:23:01,836 --> 00:23:04,836 Speaker 5: say to somebody, you shouldn't hold back from saying it. 475 00:23:05,276 --> 00:23:08,116 Speaker 1: And as Nick's colleague Schwan Chao explains, it does help 476 00:23:08,156 --> 00:23:10,636 Speaker 1: to remember that con text really matters. 477 00:23:10,956 --> 00:23:14,396 Speaker 4: There is a time for everything, So yes, probably don't 478 00:23:14,396 --> 00:23:17,796 Speaker 4: compliment your female colleagues about their appearance. Compliment them about 479 00:23:17,796 --> 00:23:19,796 Speaker 4: their confidence and their skills. 480 00:23:20,276 --> 00:23:23,036 Speaker 1: This is something comedian Milo mckabe thinks about a lot. 481 00:23:23,196 --> 00:23:25,036 Speaker 1: When he goes out dressed as Troy Hawk of the 482 00:23:25,036 --> 00:23:28,116 Speaker 1: International Greeters Guild. Mila wants to get a laugh, not 483 00:23:28,156 --> 00:23:30,676 Speaker 1: to creep people out. He doesn't want to get slapped 484 00:23:30,836 --> 00:23:34,596 Speaker 1: or arrested. Wisely, Milo looks for inspiration from his own 485 00:23:34,636 --> 00:23:36,316 Speaker 1: experience of being complimented. 486 00:23:36,956 --> 00:23:39,876 Speaker 2: I bet if I asked you right, I bet you 487 00:23:39,956 --> 00:23:46,876 Speaker 2: could remember random compliments people gave you, like years ago. Personally, 488 00:23:47,116 --> 00:23:49,116 Speaker 2: I remember walking down the street when I was about 489 00:23:49,156 --> 00:23:52,076 Speaker 2: twenty three or twenty four and some guy just going, oh, 490 00:23:52,116 --> 00:23:54,996 Speaker 2: I like those genes, and you remember, it stays with 491 00:23:55,076 --> 00:23:56,516 Speaker 2: you and it brightened me up. 492 00:23:56,956 --> 00:23:59,236 Speaker 1: So Milo aims to brighten a stranger's day with a 493 00:23:59,276 --> 00:24:02,956 Speaker 1: genuine observation. But also one that can't be misconstrued is 494 00:24:02,996 --> 00:24:05,676 Speaker 1: the prelude to something annoying or creepy. 495 00:24:05,716 --> 00:24:09,476 Speaker 2: They might think you're after something they might want if 496 00:24:09,476 --> 00:24:10,556 Speaker 2: you've got any motivation. 497 00:24:10,756 --> 00:24:11,956 Speaker 3: I mean, I've got a motivation. 498 00:24:12,076 --> 00:24:15,836 Speaker 2: I want to say something funny that's on point that 499 00:24:15,996 --> 00:24:17,156 Speaker 2: I'm catching on camera. 500 00:24:17,276 --> 00:24:19,036 Speaker 3: But the character has no motivation. 501 00:24:19,596 --> 00:24:22,196 Speaker 1: Of course, not everyone is charmed by Troy's stick. 502 00:24:22,596 --> 00:24:26,836 Speaker 2: Sometimes somebody will just absolutely refuse to engage on any level. 503 00:24:26,996 --> 00:24:31,076 Speaker 2: Just eyes down, what's going on, no eye contact, you 504 00:24:31,636 --> 00:24:33,476 Speaker 2: just keep going straight past. 505 00:24:33,676 --> 00:24:35,916 Speaker 1: But echoing what Nick and Schwan found in their studies, 506 00:24:36,116 --> 00:24:39,436 Speaker 1: Milo finds that the vast majority of his interactions aren't awkward. 507 00:24:40,036 --> 00:24:42,996 Speaker 1: Milott reckons his success rate in landing compliments is nearly 508 00:24:43,036 --> 00:24:43,836 Speaker 1: one hundred percent. 509 00:24:44,316 --> 00:24:47,836 Speaker 3: It will start as shock surprise. 510 00:24:48,436 --> 00:24:52,516 Speaker 2: Somebody's talking to me animatedly, and they're looking me directly 511 00:24:52,556 --> 00:24:54,956 Speaker 2: in the eye, and they're giving me one hundred percent 512 00:24:54,996 --> 00:24:58,236 Speaker 2: of their attention. So it'll be this kind of slight 513 00:24:58,316 --> 00:25:02,516 Speaker 2: withering or fear or good lord, what's going on? And 514 00:25:02,556 --> 00:25:04,836 Speaker 2: then I will sort of look them right in the 515 00:25:04,876 --> 00:25:09,116 Speaker 2: eye and fire this compliment at them. And almost always 516 00:25:09,396 --> 00:25:13,356 Speaker 2: it's an instantaneous kind of land and I'll see someone 517 00:25:13,396 --> 00:25:14,916 Speaker 2: brighten up almost every time. 518 00:25:14,996 --> 00:25:16,236 Speaker 3: Now someone brighton's up. Smile. 519 00:25:16,636 --> 00:25:20,276 Speaker 1: So what is Milo's formula for a compliment that will land. 520 00:25:20,596 --> 00:25:24,076 Speaker 2: I think the key is like tailor made unmotivated. 521 00:25:24,436 --> 00:25:26,556 Speaker 3: You can just go, ah, I like your shoes. It 522 00:25:26,596 --> 00:25:29,756 Speaker 3: will land, because you know, I'll be complimenting. 523 00:25:29,236 --> 00:25:31,996 Speaker 2: Something they've probably thought about, like a type of makeup 524 00:25:32,156 --> 00:25:34,236 Speaker 2: or an arrangement of clothes that go together. 525 00:25:34,276 --> 00:25:37,276 Speaker 3: They'd probably put that on and gone right, this is good, and. 526 00:25:37,196 --> 00:25:40,956 Speaker 2: They're here, this bizarre looking stranger is reaffirming this with 527 00:25:40,996 --> 00:25:43,396 Speaker 2: a big smile, and so a land, I would say, 528 00:25:43,556 --> 00:25:50,756 Speaker 2: bespoke unmotivated and sincere, and you can't really go far 529 00:25:50,876 --> 00:25:53,796 Speaker 2: wrong with that. I always say, I'd say that's the 530 00:25:53,876 --> 00:25:57,476 Speaker 2: trifecta of necessary elements for a well delivered compliment. 531 00:25:58,236 --> 00:26:00,916 Speaker 1: Now you may wonder if Troy's compliments really are all 532 00:26:00,956 --> 00:26:04,316 Speaker 1: the unmotivated and sincere. You might have assumed that Milo 533 00:26:04,436 --> 00:26:06,796 Speaker 1: is mostly doing the whole Troy thing to establish his 534 00:26:06,836 --> 00:26:09,956 Speaker 1: comedy career and pay the rent. Silo has found a 535 00:26:10,036 --> 00:26:12,796 Speaker 1: much more altruistic mission in the role of Troy Hawk. 536 00:26:12,956 --> 00:26:15,796 Speaker 2: And you're not looking to get anything out of the person. 537 00:26:15,996 --> 00:26:18,036 Speaker 2: You're just spreading a bit of joint. But you do 538 00:26:18,076 --> 00:26:20,836 Speaker 2: get someone out of the person because you get to 539 00:26:20,876 --> 00:26:24,276 Speaker 2: feel good that you've just made someone else two percent haveier. 540 00:26:25,076 --> 00:26:28,036 Speaker 1: Just like the participants in Nick and Schwan's experiments, Milo 541 00:26:28,116 --> 00:26:30,516 Speaker 1: has found that most of his own anxieties about giving 542 00:26:30,516 --> 00:26:34,996 Speaker 1: compliments were misplaced. He's learned firsthand that greeting strangers kindly 543 00:26:35,196 --> 00:26:38,156 Speaker 1: isn't that scary. The reactions to his off the cuff 544 00:26:38,156 --> 00:26:41,636 Speaker 1: comments are far more positive than he usually predicts, so 545 00:26:41,756 --> 00:26:44,476 Speaker 1: much so that Milo doesn't even need Troy's scarf and 546 00:26:44,516 --> 00:26:47,036 Speaker 1: smoking jacket to go into greeter guild mode. 547 00:26:47,196 --> 00:26:50,516 Speaker 2: What's interesting is in my personal life, I've actually started 548 00:26:50,516 --> 00:26:54,876 Speaker 2: giving people more compliments. I'll kind of chastise myself if 549 00:26:54,916 --> 00:26:58,556 Speaker 2: I'm passing someone and I noticed something, you know, they oh, 550 00:26:58,596 --> 00:27:01,316 Speaker 2: that's cool. I'll chastise myself now if I don't say 551 00:27:01,356 --> 00:27:04,236 Speaker 2: it because of my come on and people don't recognize 552 00:27:04,236 --> 00:27:06,076 Speaker 2: me out of character either that, but even doing it 553 00:27:06,116 --> 00:27:09,036 Speaker 2: out of character, I've got nothing but a good reaction. 554 00:27:09,876 --> 00:27:12,956 Speaker 1: Whether it's brightening someone's day by politely complimenting a passer 555 00:27:12,996 --> 00:27:16,916 Speaker 1: by or giving a heartfelt expression of appreciation to a friend, colleague, 556 00:27:16,956 --> 00:27:19,636 Speaker 1: or family member. The science shows we should all be 557 00:27:19,676 --> 00:27:22,516 Speaker 1: trying to unlock our inner Troy Hawk. So why not 558 00:27:22,556 --> 00:27:25,596 Speaker 1: try sharing a compliment with someone new and try doing 559 00:27:25,636 --> 00:27:28,436 Speaker 1: it without the usual fear of looking foolish and with 560 00:27:28,516 --> 00:27:31,916 Speaker 1: no expectation of getting anything in return, and commit to 561 00:27:31,996 --> 00:27:36,156 Speaker 1: doing the same practice often, whenever and wherever it feels appropriate. 562 00:27:36,676 --> 00:27:39,116 Speaker 1: Those few words could have a more profound impact than 563 00:27:39,156 --> 00:27:42,796 Speaker 1: you think. Just ask Schuan's husband. His reluctance to say 564 00:27:42,796 --> 00:27:45,596 Speaker 1: out loud what he genuinely felt in his heart nearly 565 00:27:45,636 --> 00:27:47,036 Speaker 1: cost him the woman he loves. 566 00:27:47,436 --> 00:27:50,596 Speaker 4: You know, our relationship got better and he was more 567 00:27:50,716 --> 00:27:53,116 Speaker 4: you know, he put more effort, practice and his skill 568 00:27:53,356 --> 00:27:57,156 Speaker 4: giving compliments. And indeed I receive compliments on a daily 569 00:27:57,196 --> 00:28:00,116 Speaker 4: basis now, so I really love that. 570 00:28:01,516 --> 00:28:04,356 Speaker 3: Hello, this is Troy. How can you've hit the finish line? Wonderful? 571 00:28:04,436 --> 00:28:07,156 Speaker 2: In George, you are a leviason of the listening odds. 572 00:28:07,636 --> 00:28:10,556 Speaker 2: Some folks will choose pod costs that's mainly chewing gum 573 00:28:10,596 --> 00:28:12,836 Speaker 2: for the ears. We'll go to different routes, a more 574 00:28:12,836 --> 00:28:15,596 Speaker 2: preferable one in my opinion, one that could be gonn 575 00:28:15,676 --> 00:28:18,956 Speaker 2: enrich your understanding of yourself and others, so you'll give 576 00:28:18,956 --> 00:28:20,156 Speaker 2: yourself a big old cuddle. 577 00:28:20,516 --> 00:28:21,436 Speaker 3: That is a command. 578 00:28:21,996 --> 00:28:25,516 Speaker 2: Deeply appreciate your patronage. 579 00:28:25,556 --> 00:28:27,916 Speaker 1: On the next episode of this season, on Connecting Better, 580 00:28:28,196 --> 00:28:31,636 Speaker 1: we'll explore another way to fight under sociality by reaching 581 00:28:31,636 --> 00:28:34,116 Speaker 1: out a bit more frequently to the people we care about. 582 00:28:34,636 --> 00:28:37,476 Speaker 1: We'll see that we often underestimate how important a quick 583 00:28:37,516 --> 00:28:39,756 Speaker 1: text or phone call can be to a friend in need, 584 00:28:40,396 --> 00:28:43,556 Speaker 1: and we'll learn helpful tips for overcoming the usual busyness 585 00:28:43,596 --> 00:28:45,636 Speaker 1: that can prevent us from being the best friend we 586 00:28:45,716 --> 00:28:48,516 Speaker 1: can be. All that and more on the next episode 587 00:28:48,556 --> 00:28:56,116 Speaker 1: of The Happiness Lab with me Doctor Laurie Santos. The 588 00:28:56,116 --> 00:28:58,596 Speaker 1: Happiness Lab is co written and produced by Ryan Dilly. 589 00:28:59,036 --> 00:29:02,796 Speaker 1: Our original music was composed by Zachary Silver, with additional scoring, 590 00:29:02,916 --> 00:29:06,476 Speaker 1: mixing and mastering by Evan Viola. Jess Shane and Alice 591 00:29:06,556 --> 00:29:10,276 Speaker 1: Bynes offered additional production support social thanks to my agent, 592 00:29:10,316 --> 00:29:16,716 Speaker 1: Ben Davis and all of the Pushkin group. If you 593 00:29:16,836 --> 00:29:19,236 Speaker 1: liked hearing about Schwan's research, you should check out the 594 00:29:19,236 --> 00:29:24,036 Speaker 1: new program she's developed, Flourish Together, which offers interactive online workshops, 595 00:29:24,076 --> 00:29:26,956 Speaker 1: a mobile app, and physical products designed to help people 596 00:29:26,956 --> 00:29:31,236 Speaker 1: discover joy, combat burnout, and cultivate deeper connections. You can 597 00:29:31,316 --> 00:29:36,156 Speaker 1: learn more at flouriship dot com. That's flourish ip f 598 00:29:36,316 --> 00:29:39,716 Speaker 1: l O U r I s h ip dot com