1 00:00:08,800 --> 00:00:11,280 Speaker 1: Hey, everyone, you are about to be in for a 2 00:00:11,320 --> 00:00:17,440 Speaker 1: big treat with Sonya Lubermirski. She is an absolute guru 3 00:00:18,040 --> 00:00:21,159 Speaker 1: in happiness research, like right up there in some of 4 00:00:21,200 --> 00:00:24,600 Speaker 1: the top five happiness researchers in the world, and I 5 00:00:24,680 --> 00:00:28,800 Speaker 1: highly recommend that you check out her website and her books, 6 00:00:28,800 --> 00:00:33,960 Speaker 1: and particularly her latest book, which is The How to 7 00:00:34,080 --> 00:00:35,040 Speaker 1: Feel Loved. 8 00:00:35,320 --> 00:00:37,960 Speaker 2: So just jump on that. Get it on Amazon. You 9 00:00:38,000 --> 00:00:38,760 Speaker 2: won't regret it. 10 00:00:41,240 --> 00:00:47,440 Speaker 1: Professor Sonya Lubermitski, Welcome to the podcast. It's a pleasure 11 00:00:47,440 --> 00:00:51,440 Speaker 1: to be the pesthetic Irishman's attempt at pronouncing. 12 00:00:50,960 --> 00:00:51,879 Speaker 2: Your the empire. 13 00:00:54,880 --> 00:00:55,320 Speaker 3: I love it. 14 00:00:56,200 --> 00:00:59,760 Speaker 1: When I think of happiness, I think of researchers such 15 00:00:59,800 --> 00:01:04,040 Speaker 1: as Ed Danny A, Professor Richard Laird or emeritus Professor 16 00:01:04,120 --> 00:01:11,640 Speaker 1: Richard Laird, Marty Seligman, Corey Keyes, and Sonya Lubermitski. I 17 00:01:11,680 --> 00:01:14,759 Speaker 1: would put you in with those guys. When did you 18 00:01:14,840 --> 00:01:18,160 Speaker 1: decide that happiness was going to be something that you 19 00:01:18,280 --> 00:01:19,520 Speaker 1: studied in your career? 20 00:01:22,280 --> 00:01:26,360 Speaker 4: Nineteen eighty nine, so that was what was that thirty 21 00:01:26,480 --> 00:01:29,120 Speaker 4: seven years ago or something thirty eight years ago? 22 00:01:31,280 --> 00:01:32,280 Speaker 3: Thirty seven years ago. 23 00:01:32,400 --> 00:01:35,600 Speaker 4: Yeah, So I got to grad school at Stanford and 24 00:01:35,640 --> 00:01:37,600 Speaker 4: by the way, just this morning I went to there 25 00:01:37,640 --> 00:01:40,480 Speaker 4: was a zoom with sort of happiness Pioneers with Marty 26 00:01:40,520 --> 00:01:44,800 Speaker 4: Seligman and ow Wow Laird and John Ellio and Ed 27 00:01:44,800 --> 00:01:48,559 Speaker 4: Diner's son, you know, a dinner passed away last So yeah, 28 00:01:48,560 --> 00:01:49,760 Speaker 4: that was really beautiful. 29 00:01:49,760 --> 00:01:51,840 Speaker 3: We kind of talked about the state of the field 30 00:01:51,880 --> 00:01:52,520 Speaker 3: and all of that. 31 00:01:52,560 --> 00:01:56,320 Speaker 4: But anyway, okay, getting back too, So yeah, so when 32 00:01:56,320 --> 00:02:00,040 Speaker 4: I started grad school. On the very first day of 33 00:02:00,080 --> 00:02:02,480 Speaker 4: grad school, this was at Stanford, I was getting my 34 00:02:02,520 --> 00:02:05,840 Speaker 4: PhD in social psychology, and I met with my new advisor. 35 00:02:05,880 --> 00:02:08,120 Speaker 4: His name is Lee Ross, and he was the world's 36 00:02:08,120 --> 00:02:11,520 Speaker 4: expert on conflict and negotiations, so kind of like maybe 37 00:02:11,560 --> 00:02:14,200 Speaker 4: the opposite of happiness. And we took a walk around 38 00:02:14,280 --> 00:02:17,360 Speaker 4: campus and we started talking about happiness and you know, 39 00:02:17,400 --> 00:02:19,480 Speaker 4: what is a secret to happiness and why are some 40 00:02:19,520 --> 00:02:20,680 Speaker 4: people happier than others? 41 00:02:20,720 --> 00:02:22,520 Speaker 3: And back then, I mean. 42 00:02:22,440 --> 00:02:25,720 Speaker 4: Some economists were studying, you know, wellbeing and Ed Deaner 43 00:02:25,760 --> 00:02:28,359 Speaker 4: at Niversity of Illinois was studying well being, but really 44 00:02:28,400 --> 00:02:30,760 Speaker 4: it was not a field yet at all. 45 00:02:30,880 --> 00:02:34,519 Speaker 3: So again, thirty thirty seven years ago. 46 00:02:34,720 --> 00:02:38,840 Speaker 1: Okay, and so let's let's define happiness because you talked 47 00:02:38,840 --> 00:02:40,760 Speaker 1: about well being there, so a lot of people talk 48 00:02:40,800 --> 00:02:46,960 Speaker 1: about subjective wellbeing. There's human flourishing and what what definition 49 00:02:47,320 --> 00:02:48,960 Speaker 1: of happiness do you like? 50 00:02:49,280 --> 00:02:49,920 Speaker 2: And why? 51 00:02:52,000 --> 00:02:52,320 Speaker 3: Sure? 52 00:02:52,440 --> 00:02:54,440 Speaker 4: Well I define happiness Actually the way the Ed Deaner, 53 00:02:54,520 --> 00:02:57,400 Speaker 4: the founder of the field, defines it is that happiness 54 00:02:57,400 --> 00:03:01,000 Speaker 4: really has two components, and the first component is the 55 00:03:01,040 --> 00:03:04,160 Speaker 4: experience of positive emotions. Right, So happy people are more 56 00:03:04,240 --> 00:03:11,040 Speaker 4: likely to experience joy, enthusiasm, calm, curiosity, affection, you know, serenity. 57 00:03:12,960 --> 00:03:15,000 Speaker 3: I mean, of course the experienced negative emotions too, but 58 00:03:15,200 --> 00:03:19,440 Speaker 3: you know, not too too chronically. But that's not enough. 59 00:03:19,560 --> 00:03:22,840 Speaker 4: The second component of happiness is believing that your life 60 00:03:22,880 --> 00:03:25,519 Speaker 4: is good, you know, being satisfied with your life, being 61 00:03:25,520 --> 00:03:27,640 Speaker 4: satisfied with the progress. 62 00:03:27,160 --> 00:03:28,800 Speaker 3: That you're making towards your life goals. 63 00:03:28,840 --> 00:03:30,120 Speaker 4: Right, So I think I like to think about these 64 00:03:30,120 --> 00:03:33,639 Speaker 4: two components of happiness as being happy in your life 65 00:03:33,960 --> 00:03:35,840 Speaker 4: and being happy with your life. 66 00:03:35,920 --> 00:03:38,240 Speaker 3: So you really need all of those to be a happy. 67 00:03:38,240 --> 00:03:43,600 Speaker 1: And your research I remember reading a particular study from you, 68 00:03:43,760 --> 00:03:46,720 Speaker 1: and actually I've talked about it when I'm doing corporate 69 00:03:46,760 --> 00:03:53,480 Speaker 1: talks that showed that approximately fifty ish percent of your 70 00:03:53,520 --> 00:03:57,040 Speaker 1: happiness was genetically based, but about I think it was 71 00:03:57,080 --> 00:04:00,320 Speaker 1: about forty percent was actually under your troll. 72 00:04:00,720 --> 00:04:02,000 Speaker 2: Did I get those numbers right? 73 00:04:03,320 --> 00:04:07,480 Speaker 3: Well, you got the numbers right, but the couple caveats. 74 00:04:08,360 --> 00:04:12,480 Speaker 4: One is the numbers were estimates that we sort of 75 00:04:12,560 --> 00:04:15,000 Speaker 4: estimated these numbers, you know, like twenty years ago, and 76 00:04:15,240 --> 00:04:18,120 Speaker 4: I don't use the numbers anymore because people treat them 77 00:04:18,160 --> 00:04:20,760 Speaker 4: too seriously, right, So we don't really know. 78 00:04:20,800 --> 00:04:22,640 Speaker 3: It's not really forty percent. I don't know what percent 79 00:04:22,680 --> 00:04:22,880 Speaker 3: it is. 80 00:04:22,920 --> 00:04:24,520 Speaker 4: But the way I like to think about it is 81 00:04:24,520 --> 00:04:28,480 Speaker 4: that there's like three buckets of influences on your happiness. 82 00:04:28,880 --> 00:04:32,320 Speaker 4: In one bucket is your genetics, like we know from 83 00:04:32,360 --> 00:04:35,600 Speaker 4: lots of research on behavioral From behavioral genetics, you know, 84 00:04:36,120 --> 00:04:39,640 Speaker 4: identical twins are much more alike in their happiness levels 85 00:04:39,680 --> 00:04:41,800 Speaker 4: than our fraternal twins, right, So that shows that there's 86 00:04:41,800 --> 00:04:43,279 Speaker 4: a genetic influence on happiness. 87 00:04:43,400 --> 00:04:45,320 Speaker 3: We know that to be true. 88 00:04:45,560 --> 00:04:48,160 Speaker 4: And then the other bucket is your life circumstances, right 89 00:04:48,240 --> 00:04:50,320 Speaker 4: like how rich you are and how attractive you are, 90 00:04:50,360 --> 00:04:52,440 Speaker 4: and are you married, and how old are you and 91 00:04:52,760 --> 00:04:55,039 Speaker 4: you know, what do you do? You know in terms 92 00:04:55,040 --> 00:04:58,120 Speaker 4: of your job, so that also influences your happiness depending 93 00:04:58,160 --> 00:05:01,960 Speaker 4: on where you are and your life circum stances. And 94 00:05:02,000 --> 00:05:04,799 Speaker 4: then A third bucket is sort of what you actually 95 00:05:04,839 --> 00:05:07,760 Speaker 4: can do every day to impact your happiness, right, how 96 00:05:07,760 --> 00:05:10,560 Speaker 4: you think, how you act, how you behave every day. 97 00:05:11,160 --> 00:05:14,360 Speaker 4: And so now I don't put numbers on them, but 98 00:05:14,400 --> 00:05:17,120 Speaker 4: that all three of those are major and. 99 00:05:17,120 --> 00:05:21,440 Speaker 1: If they identify a number of candidate genes or is 100 00:05:21,480 --> 00:05:23,880 Speaker 1: it is it too tricky to get right down to 101 00:05:23,960 --> 00:05:24,520 Speaker 1: that level. 102 00:05:25,960 --> 00:05:26,760 Speaker 3: Yeah, it's two tricky. 103 00:05:26,800 --> 00:05:29,919 Speaker 4: I mean there are there is research in molecular genetics 104 00:05:29,960 --> 00:05:32,440 Speaker 4: where you know there are candidate genes, but I think 105 00:05:32,480 --> 00:05:33,360 Speaker 4: there are many of them. 106 00:05:33,480 --> 00:05:34,839 Speaker 3: I don't know if there are hundreds. 107 00:05:34,600 --> 00:05:38,240 Speaker 4: Or thousands, and so it's just there's no single gene 108 00:05:38,240 --> 00:05:40,200 Speaker 4: that really has a big impact. That's true for by 109 00:05:40,200 --> 00:05:42,039 Speaker 4: the way, a lot of human traits. You know, that's 110 00:05:42,080 --> 00:05:44,600 Speaker 4: not just happening. It's true for almost everything. It's very 111 00:05:44,720 --> 00:05:47,599 Speaker 4: rare when there's like one gene that explains like a disease, 112 00:05:47,760 --> 00:05:52,800 Speaker 4: sometimes that happens, right, but it's very rare anyway. So yeah, 113 00:05:52,800 --> 00:05:55,320 Speaker 4: but we know that their genetic influences, like we know 114 00:05:55,440 --> 00:05:57,560 Speaker 4: you look around you right, like, I don't know do 115 00:05:57,600 --> 00:05:59,440 Speaker 4: you have kids if you have more than one kid, 116 00:06:00,560 --> 00:06:02,960 Speaker 4: like I have four kids. You know, some of ours 117 00:06:02,960 --> 00:06:05,040 Speaker 4: my kids are happier than others, like and I feel 118 00:06:05,040 --> 00:06:08,280 Speaker 4: like they were raised in similar environments, you know, And 119 00:06:08,279 --> 00:06:11,120 Speaker 4: and yet there's definitely genetic influencers. 120 00:06:11,120 --> 00:06:15,320 Speaker 1: And what about have you looked at anything around stages 121 00:06:15,360 --> 00:06:19,720 Speaker 1: of life in terms of because I know there's this 122 00:06:19,880 --> 00:06:23,280 Speaker 1: kind of inverted ship are used to be in the 123 00:06:23,680 --> 00:06:27,120 Speaker 1: research they inverted you shape with the age, But before 124 00:06:27,120 --> 00:06:31,200 Speaker 1: we get into that early life, like, we know that 125 00:06:31,360 --> 00:06:35,400 Speaker 1: early life has a big impact on so many things. 126 00:06:36,680 --> 00:06:39,279 Speaker 4: Right right, right, Well, two different questions, right, yes, of course, 127 00:06:39,360 --> 00:06:41,720 Speaker 4: like if you have like trauma in early life, you 128 00:06:41,760 --> 00:06:43,400 Speaker 4: know that could really influence by the way, can influence 129 00:06:43,440 --> 00:06:45,440 Speaker 4: you with both positive and negative ways. You know, often 130 00:06:45,440 --> 00:06:49,200 Speaker 4: it's negative, but sometimes you become more resilient. But in 131 00:06:49,320 --> 00:06:51,359 Speaker 4: terms of life stages, I don't do this research, but 132 00:06:51,440 --> 00:06:53,719 Speaker 4: other people do. I don't really believe in the inverted 133 00:06:53,760 --> 00:06:56,680 Speaker 4: you because that research is often done in the field 134 00:06:56,680 --> 00:06:59,159 Speaker 4: of economics, where they control for a lot of variables, 135 00:06:59,200 --> 00:07:04,400 Speaker 4: and we feel look at raw data. Basically, my understanding 136 00:07:04,440 --> 00:07:06,599 Speaker 4: is the least happy people are young people, right, so 137 00:07:06,720 --> 00:07:09,360 Speaker 4: ages fourteen to twenty eight, And that. 138 00:07:09,279 --> 00:07:10,520 Speaker 3: Makes sense, doesn't it make sense? 139 00:07:10,560 --> 00:07:12,880 Speaker 4: I mean they're not happy, right, and they haven't even 140 00:07:12,960 --> 00:07:17,120 Speaker 4: in this age of AI and social media, like even 141 00:07:17,440 --> 00:07:19,960 Speaker 4: not thinking about that they haven't found they don't know 142 00:07:19,960 --> 00:07:21,920 Speaker 4: who they are yet, right, they're finding their identity, they 143 00:07:21,920 --> 00:07:24,520 Speaker 4: haven't found their life partner. You know, they're still sort 144 00:07:24,560 --> 00:07:27,400 Speaker 4: of discovering themselves, you know, so it makes sense that 145 00:07:27,400 --> 00:07:30,160 Speaker 4: that would be they don't have that the self esteem 146 00:07:30,360 --> 00:07:32,920 Speaker 4: that's you know, that's core to them maybe is still 147 00:07:32,960 --> 00:07:36,200 Speaker 4: a little shaky. Right anyway, So young people are tend 148 00:07:36,240 --> 00:07:38,880 Speaker 4: to be the least happy, and people tend to get 149 00:07:38,920 --> 00:07:41,480 Speaker 4: happier as they age. I mean there might be a 150 00:07:41,480 --> 00:07:46,760 Speaker 4: dip in midlife if there's a lot going on to exactly, yeah, 151 00:07:47,000 --> 00:07:49,240 Speaker 4: or the Sandwich generation, right, you have the kids, you 152 00:07:49,280 --> 00:07:52,320 Speaker 4: have work stress, you have taken care of your parents. 153 00:07:52,680 --> 00:07:54,760 Speaker 4: But you know, people, a lot of research shows that 154 00:07:54,840 --> 00:07:57,000 Speaker 4: people tend to get happier as they get older, and 155 00:07:57,040 --> 00:07:59,440 Speaker 4: like the happiest people are actually you know, on the 156 00:07:59,480 --> 00:08:03,640 Speaker 4: older side, and then usually there's a dip somewhere because 157 00:08:03,640 --> 00:08:06,160 Speaker 4: of health or you know, other reasons. 158 00:08:06,560 --> 00:08:08,520 Speaker 3: But yeah, I kind of like that research because we 159 00:08:08,520 --> 00:08:09,480 Speaker 3: have a lot to look forward to. 160 00:08:10,320 --> 00:08:14,120 Speaker 1: That's true, and and tell me also over time, so 161 00:08:14,160 --> 00:08:16,800 Speaker 1: we talked about there's been a lot of talk about 162 00:08:17,800 --> 00:08:21,560 Speaker 1: our young people and mental health issues, like, like, are 163 00:08:21,600 --> 00:08:29,480 Speaker 1: they are they completely you know, there's there's one actually 164 00:08:29,720 --> 00:08:30,120 Speaker 1: really like. 165 00:08:30,160 --> 00:08:30,480 Speaker 2: To the other. 166 00:08:30,560 --> 00:08:34,760 Speaker 1: So can you have some mental health just issues and 167 00:08:34,880 --> 00:08:39,760 Speaker 1: still have levels of happiness or well being or are 168 00:08:39,760 --> 00:08:46,480 Speaker 1: they completely Are they variables that just do not interact? No? 169 00:08:46,640 --> 00:08:47,600 Speaker 3: No, you can. 170 00:08:48,080 --> 00:08:51,520 Speaker 4: And you know, if you're talking about depression and anxiety, 171 00:08:51,520 --> 00:08:54,640 Speaker 4: which are probably the two most common mental health conditions, 172 00:08:54,960 --> 00:08:58,920 Speaker 4: those are both a pisodic, right, so at least some 173 00:08:59,040 --> 00:09:02,280 Speaker 4: of it is. So you might be depressed or anxious, 174 00:09:02,360 --> 00:09:04,480 Speaker 4: you know, have kind of an episode and then and 175 00:09:04,480 --> 00:09:06,240 Speaker 4: then you go back kind of a little bit, back 176 00:09:06,280 --> 00:09:09,280 Speaker 4: to baseline. And so clearly, when you're in the middle 177 00:09:09,320 --> 00:09:11,000 Speaker 4: of a sort of a depressive episode, you're not going 178 00:09:11,040 --> 00:09:14,120 Speaker 4: to be happy. You know, that's yeah, that's not possible. 179 00:09:14,720 --> 00:09:18,200 Speaker 4: But you know, between episodes you certainly can be happy, 180 00:09:18,240 --> 00:09:21,760 Speaker 4: So it's certainly possible. But actually, mental health issues really 181 00:09:21,800 --> 00:09:23,280 Speaker 4: are one of the biggest. 182 00:09:23,040 --> 00:09:24,760 Speaker 3: Challenges to happiness. I mean, it's just. 183 00:09:25,200 --> 00:09:27,400 Speaker 4: Really and so people who are experiencing them, you know, 184 00:09:27,400 --> 00:09:31,280 Speaker 4: it's not your fault, like it's biological usually, and it's 185 00:09:31,320 --> 00:09:33,559 Speaker 4: just really really hard to be happy when you're you're 186 00:09:33,600 --> 00:09:34,840 Speaker 4: sort of battling. 187 00:09:34,360 --> 00:09:37,240 Speaker 3: With your brain kind of like being unhappy. 188 00:09:37,760 --> 00:09:40,720 Speaker 4: So that's not to say that the strategies that I've 189 00:09:40,720 --> 00:09:44,280 Speaker 4: been studying my whole career can't help, you know, So 190 00:09:44,480 --> 00:09:48,120 Speaker 4: there are definitely things you can try to practice to 191 00:09:48,160 --> 00:09:49,640 Speaker 4: increase the level of happiness, no. 192 00:09:49,679 --> 00:09:52,880 Speaker 1: Matter, definitely want to get into strategies, but I'm interested. 193 00:09:53,400 --> 00:09:55,960 Speaker 1: Has there been any research, so, say, some of these 194 00:09:56,280 --> 00:10:00,120 Speaker 1: going on with a reasonably stable level of happiness and 195 00:10:00,200 --> 00:10:04,920 Speaker 1: they have an episode of mental health, do they come 196 00:10:05,080 --> 00:10:09,439 Speaker 1: back to their baseline level of happiness or when they 197 00:10:09,480 --> 00:10:12,720 Speaker 1: come back, is it at a lower level? Has anybody 198 00:10:12,720 --> 00:10:13,480 Speaker 1: looked into that? 199 00:10:14,800 --> 00:10:16,760 Speaker 3: Yeah? They have? And again I'm not an expert in 200 00:10:16,760 --> 00:10:17,080 Speaker 3: this area. 201 00:10:17,080 --> 00:10:19,240 Speaker 4: I'm not a clinical psychologist, but I think often they 202 00:10:19,280 --> 00:10:21,400 Speaker 4: do come back to their baseline. 203 00:10:20,880 --> 00:10:23,880 Speaker 3: You know, but that baseline is lower. 204 00:10:23,440 --> 00:10:26,400 Speaker 4: Than people who've never been depressed usually, you know, And 205 00:10:26,600 --> 00:10:29,040 Speaker 4: I have looked at some research like people who kind 206 00:10:29,040 --> 00:10:31,880 Speaker 4: of used to be depressed, like they're still less happy 207 00:10:32,200 --> 00:10:35,160 Speaker 4: than people who've never been depressed. But it's certainly as 208 00:10:35,200 --> 00:10:37,640 Speaker 4: possible to go back from that, you know. There's there's 209 00:10:37,640 --> 00:10:40,640 Speaker 4: definitely hope and and antidepress and medication, you know, and 210 00:10:40,840 --> 00:10:45,400 Speaker 4: and again practices that you can try to embrace in 211 00:10:45,440 --> 00:10:47,880 Speaker 4: your daily life. Can can help you know, I'm just 212 00:10:47,880 --> 00:10:50,120 Speaker 4: saying that it's not easy, and so when people are 213 00:10:50,160 --> 00:10:53,840 Speaker 4: having a hard time, you know, it's it's a lot. 214 00:10:53,760 --> 00:11:00,480 Speaker 1: Of differences culture around the world, countries bigger old is 215 00:11:00,520 --> 00:11:05,120 Speaker 1: that play, Like if you're born in Russia versus America 216 00:11:05,240 --> 00:11:07,240 Speaker 1: versus Africa versus you know. 217 00:11:07,400 --> 00:11:09,839 Speaker 2: How much of a role does that play? 218 00:11:09,960 --> 00:11:15,719 Speaker 1: Country of origin and early upbringing and that sort of culture, right, I. 219 00:11:15,679 --> 00:11:16,480 Speaker 3: Mean it does. 220 00:11:16,840 --> 00:11:20,439 Speaker 4: So culture certainly plays a role when you compare average 221 00:11:20,480 --> 00:11:23,599 Speaker 4: happiness levels in different countries, and you probably have know this. 222 00:11:23,760 --> 00:11:25,760 Speaker 4: You know, if the World Happiness Report, you know, comes 223 00:11:25,760 --> 00:11:28,079 Speaker 4: out with these sort of average ratings, they are huge 224 00:11:28,120 --> 00:11:31,040 Speaker 4: differences in from like the Nordic countries that are the 225 00:11:31,080 --> 00:11:33,720 Speaker 4: highest to like you know, say developing countries and say 226 00:11:34,440 --> 00:11:39,640 Speaker 4: Africa and are really low in happiness. And so certainly 227 00:11:39,720 --> 00:11:41,960 Speaker 4: that that plays a role. And the thing is why 228 00:11:42,040 --> 00:11:44,199 Speaker 4: is that play a role? Because there's so many factors, 229 00:11:44,320 --> 00:11:46,360 Speaker 4: right that are all right, So it turns out if 230 00:11:46,360 --> 00:11:49,120 Speaker 4: you live in a country that has corruption, that that 231 00:11:49,120 --> 00:11:51,400 Speaker 4: that that there's a war going on, that there's a 232 00:11:51,440 --> 00:11:54,800 Speaker 4: lot of poverty. You know, there's not not not no 233 00:11:54,920 --> 00:11:58,679 Speaker 4: equal rights, there's no democracy, right that those are correlations 234 00:11:58,679 --> 00:12:00,840 Speaker 4: of you know, low happiness levels. 235 00:12:00,960 --> 00:12:02,920 Speaker 3: But then when you see people immigrating, so there's lots 236 00:12:02,920 --> 00:12:03,440 Speaker 3: of research. 237 00:12:03,480 --> 00:12:05,439 Speaker 4: Again I'm not an expert on this, but when people 238 00:12:05,520 --> 00:12:09,199 Speaker 4: immigrate to sort of countries that are happier, then they 239 00:12:09,200 --> 00:12:11,880 Speaker 4: get happier. Right, So it's not like genetic You know, 240 00:12:12,200 --> 00:12:13,960 Speaker 4: you're born and I was born in Russia, so I 241 00:12:14,000 --> 00:12:17,679 Speaker 4: was born in a very unhappy country. I don't know 242 00:12:17,840 --> 00:12:20,800 Speaker 4: what I would be what I've been like, yes, control right, 243 00:12:20,800 --> 00:12:23,800 Speaker 4: I don't know I stayed what I've been like. But 244 00:12:24,000 --> 00:12:27,400 Speaker 4: I'm certainly a pretty happy person, and that some of 245 00:12:27,440 --> 00:12:28,839 Speaker 4: that has to do with the fact that I live 246 00:12:30,040 --> 00:12:31,920 Speaker 4: in the United States and I have a really good time. 247 00:12:31,960 --> 00:12:37,080 Speaker 1: So we talked about genetics. Has anybody looked into epigenetic effects. 248 00:12:37,120 --> 00:12:40,320 Speaker 1: I mean, what we're now seeing in the research around 249 00:12:40,320 --> 00:12:45,120 Speaker 1: genetics and epigenetics is that, you know, the epigenetics, it 250 00:12:45,280 --> 00:12:48,640 Speaker 1: kind of tells the hard ware hard to run, and 251 00:12:49,400 --> 00:12:55,480 Speaker 1: we see that there are certainly some transgenerational epigenetic effects. 252 00:12:55,800 --> 00:12:59,600 Speaker 1: Has there been any research around that from a happiness 253 00:12:59,600 --> 00:13:01,000 Speaker 1: perspect that you're aware of. 254 00:13:02,640 --> 00:13:04,800 Speaker 4: I believe there isn't. Again, this is not in my 255 00:13:05,040 --> 00:13:07,160 Speaker 4: in my wheelhouse. You know, I'm not a geneticist, but 256 00:13:07,520 --> 00:13:10,880 Speaker 4: certainly you can't separate genetics and epigenetics, right, because epigenetics 257 00:13:10,960 --> 00:13:12,839 Speaker 4: is how sort of genes get turned on and off, 258 00:13:12,840 --> 00:13:16,240 Speaker 4: and that's how they actually have their impact on people, 259 00:13:16,600 --> 00:13:21,400 Speaker 4: on our phenomenology, and so they really go together. And 260 00:13:21,440 --> 00:13:24,280 Speaker 4: so again I'm not an expert in this, but yeah, 261 00:13:24,320 --> 00:13:27,000 Speaker 4: like so if you if I have a predisposition for 262 00:13:27,120 --> 00:13:31,080 Speaker 4: happiness and I'm an environment where you know, sort of 263 00:13:31,200 --> 00:13:33,600 Speaker 4: sort of certain genes are turned on because it's a 264 00:13:33,679 --> 00:13:36,080 Speaker 4: bad environment or it's a good environment, right, that's going 265 00:13:36,160 --> 00:13:39,640 Speaker 4: to affect our my happiness overall. But again, I really 266 00:13:39,640 --> 00:13:44,080 Speaker 4: can't answer this question. I'm really more an expert on 267 00:13:43,600 --> 00:13:46,640 Speaker 4: on what people can do to become happier. And really 268 00:13:46,960 --> 00:13:48,760 Speaker 4: I'd love to talk about my new book, How to 269 00:13:48,800 --> 00:13:51,319 Speaker 4: Feel Loved, which is really like the key to happiness 270 00:13:51,320 --> 00:13:54,360 Speaker 4: is sort of social connection and relationships and sort of 271 00:13:54,600 --> 00:13:57,200 Speaker 4: feeling loved and what people can do in their daily life, 272 00:13:57,520 --> 00:13:58,880 Speaker 4: you know, to feel more loved. 273 00:13:59,280 --> 00:14:00,920 Speaker 2: That we are going to dig into. 274 00:14:01,000 --> 00:14:02,679 Speaker 1: I got one more that I'm going to throw at 275 00:14:02,720 --> 00:14:05,880 Speaker 1: you before we jump into the sword of things that 276 00:14:05,960 --> 00:14:09,800 Speaker 1: you can really influence, and a lot of people, particularly 277 00:14:10,000 --> 00:14:13,800 Speaker 1: in the West, in inverted commas and you know, are 278 00:14:14,320 --> 00:14:18,760 Speaker 1: brainwashed to believe that you can get happiness through money 279 00:14:19,080 --> 00:14:20,560 Speaker 1: and through achievement. 280 00:14:21,160 --> 00:14:23,560 Speaker 2: And how much do those. 281 00:14:23,320 --> 00:14:27,800 Speaker 1: Factors actually play a role? I mean, clearly, if you're very, 282 00:14:27,920 --> 00:14:30,600 Speaker 1: very poor, that's going to have an impact. But you know, 283 00:14:30,760 --> 00:14:34,080 Speaker 1: words that diminishing returns when it comes to money. And 284 00:14:34,760 --> 00:14:38,120 Speaker 1: what sort of role does achievement because that plays into 285 00:14:38,600 --> 00:14:42,360 Speaker 1: your self esteem? And how does that roll out in 286 00:14:42,400 --> 00:14:43,119 Speaker 1: the literature? 287 00:14:45,000 --> 00:14:48,440 Speaker 4: Yeah, yeah, no, you know, it's it's complicated, right, it's 288 00:14:48,480 --> 00:14:52,120 Speaker 4: a very new question. Absolutely, money and achievement makes people happy. 289 00:14:52,360 --> 00:14:54,280 Speaker 4: And by the way, if anyone's interested, I have a 290 00:14:54,280 --> 00:14:58,640 Speaker 4: newsletter where every two weeks I tackle exactly these questions, right, 291 00:14:58,640 --> 00:15:03,360 Speaker 4: the question of the question money and my website is 292 00:15:03,400 --> 00:15:05,720 Speaker 4: how to Feel Loved dot com. I have the newsletter there. 293 00:15:05,720 --> 00:15:08,280 Speaker 4: But so one of the newsletters was about money and achievement. 294 00:15:08,440 --> 00:15:11,840 Speaker 4: And so the answer really is that money does make 295 00:15:11,960 --> 00:15:14,880 Speaker 4: us happier, but not as much as we think it does. 296 00:15:15,520 --> 00:15:18,080 Speaker 4: And it makes us happier when we spend it, right, right, 297 00:15:18,120 --> 00:15:21,960 Speaker 4: when we spend money on actually really three buckets, you know, connection, 298 00:15:22,520 --> 00:15:27,200 Speaker 4: connecting with others, contribution where we're helping others, and personal 299 00:15:27,280 --> 00:15:30,040 Speaker 4: growth where you're growing as a person learning something new. 300 00:15:30,400 --> 00:15:32,640 Speaker 4: So when you spend the money in those ways, it's 301 00:15:32,680 --> 00:15:34,520 Speaker 4: going to make you happier than if you spend your 302 00:15:34,520 --> 00:15:37,400 Speaker 4: money on like another possession that you put in your car, 303 00:15:37,520 --> 00:15:40,000 Speaker 4: in your garage, or you put on your shelf. And 304 00:15:40,040 --> 00:15:43,040 Speaker 4: then achievement too, you know absolutely, Like you know, when 305 00:15:43,080 --> 00:15:45,160 Speaker 4: I write a book, when I write a paper, when 306 00:15:45,200 --> 00:15:47,480 Speaker 4: I you know, like win an award, I mean, that 307 00:15:47,520 --> 00:15:49,080 Speaker 4: makes me happy. And I think that's a lot of 308 00:15:49,120 --> 00:15:51,320 Speaker 4: people will will say the same thing. 309 00:15:51,440 --> 00:15:54,320 Speaker 3: And it's not just about the achievement. It sort of 310 00:15:54,480 --> 00:15:55,880 Speaker 3: is the process of getting. 311 00:15:55,600 --> 00:15:59,600 Speaker 4: There, right, Like I mean presumably people, yeah, like we're 312 00:15:59,680 --> 00:16:02,520 Speaker 4: we we care about making an impact in the world, right, 313 00:16:02,640 --> 00:16:06,640 Speaker 4: So achievement is sort of a marker of that. But 314 00:16:06,720 --> 00:16:09,840 Speaker 4: if you're only focused on the achievement, if you're only 315 00:16:09,840 --> 00:16:11,920 Speaker 4: focused on the end goal as opposed to kind of 316 00:16:11,920 --> 00:16:14,040 Speaker 4: a journey to get there, you're not going to be 317 00:16:14,040 --> 00:16:16,440 Speaker 4: as happy. And again, it sounds like a cliche, but 318 00:16:16,560 --> 00:16:20,040 Speaker 4: research supports it that really focusing on the journey to 319 00:16:20,080 --> 00:16:24,320 Speaker 4: get there is it's more closely associated with happiness than 320 00:16:24,480 --> 00:16:27,360 Speaker 4: just achieving that one thing, because once we achieve, we 321 00:16:27,440 --> 00:16:28,080 Speaker 4: just want more. 322 00:16:28,200 --> 00:16:29,520 Speaker 3: It's called the hendonic treadmill. 323 00:16:29,600 --> 00:16:29,760 Speaker 2: Right. 324 00:16:31,000 --> 00:16:31,560 Speaker 3: We don't just. 325 00:16:31,520 --> 00:16:33,200 Speaker 4: Stay there and be like, oh, I'm really happy, I'm 326 00:16:33,200 --> 00:16:34,720 Speaker 4: going to stay on this mountain forever. 327 00:16:35,480 --> 00:16:36,560 Speaker 3: We want to climb there. 328 00:16:36,640 --> 00:16:39,760 Speaker 1: I remember reading a book jeez must be thirty five 329 00:16:39,840 --> 00:16:43,360 Speaker 1: years ago, Zen in the Art of Motorcycle Maintenance by 330 00:16:43,480 --> 00:16:47,360 Speaker 1: Robert Percik, and I remember him to use this analogy 331 00:16:47,400 --> 00:16:50,160 Speaker 1: about getting up the mountain and people just are in 332 00:16:50,200 --> 00:16:52,280 Speaker 1: a rush to get to the top of the mountain 333 00:16:52,320 --> 00:16:54,360 Speaker 1: and there was a little freeze in there. That's stuck 334 00:16:54,400 --> 00:16:57,720 Speaker 1: in my mind. And sometimes it's better to travel than 335 00:16:57,760 --> 00:16:58,360 Speaker 1: to get there. 336 00:17:00,680 --> 00:17:02,800 Speaker 3: I love that. And actually I just heard another phrase. 337 00:17:02,800 --> 00:17:05,199 Speaker 4: Actually it's from a Ted talk and it was something like, 338 00:17:05,240 --> 00:17:06,680 Speaker 4: when you get to the top of the mountain, there's 339 00:17:06,720 --> 00:17:07,720 Speaker 4: three things that are true. 340 00:17:07,720 --> 00:17:08,800 Speaker 3: And I think I got this right. 341 00:17:09,040 --> 00:17:15,000 Speaker 4: One is your alone. Another, it's cold, so that's interest 342 00:17:15,440 --> 00:17:18,560 Speaker 4: I thought. But the other the third is the odd 343 00:17:18,640 --> 00:17:22,000 Speaker 4: way that goes down, right, And. 344 00:17:22,040 --> 00:17:22,680 Speaker 3: I love that. 345 00:17:22,760 --> 00:17:25,320 Speaker 4: It's like, Okay, I mean doesn't mean we should climb 346 00:17:25,320 --> 00:17:28,320 Speaker 4: the mountain. And actually I really like, you know, evolutionary 347 00:17:28,320 --> 00:17:30,880 Speaker 4: theory explains a lot you know, you could argue it's 348 00:17:30,880 --> 00:17:33,760 Speaker 4: evolutionarily adaptive for us to always. 349 00:17:33,400 --> 00:17:35,239 Speaker 3: Want more, right, because if we didn't always want more, 350 00:17:35,320 --> 00:17:35,960 Speaker 3: human beings. 351 00:17:35,800 --> 00:17:37,639 Speaker 4: Were just like they would find a source of food 352 00:17:37,680 --> 00:17:38,920 Speaker 4: and they would find a friend. 353 00:17:38,920 --> 00:17:40,760 Speaker 3: They'd be like, Okay, I'm done. You know, I'm just 354 00:17:40,840 --> 00:17:41,520 Speaker 3: gonna sit. 355 00:17:41,359 --> 00:17:43,960 Speaker 4: Here and I'm not going to make any more progress, right, 356 00:17:44,000 --> 00:17:45,760 Speaker 4: I'm not going to make any more advances. I'm I'm 357 00:17:45,760 --> 00:17:50,760 Speaker 4: going to stagnate, right and yet, but no, we're not 358 00:17:50,920 --> 00:17:52,440 Speaker 4: satisfied with being done. 359 00:17:52,520 --> 00:17:54,879 Speaker 3: We want that next goal to achieve. 360 00:17:54,960 --> 00:17:56,920 Speaker 4: And so this is actually a good thing, I think 361 00:17:56,960 --> 00:17:59,520 Speaker 4: for human progress and advancement. 362 00:17:59,560 --> 00:18:01,080 Speaker 3: But maybe it's not so good. 363 00:18:00,920 --> 00:18:04,800 Speaker 1: For Isn't there interesting There's so many things that initially 364 00:18:04,840 --> 00:18:09,760 Speaker 1: are adaptive to some degree and then they become maladaptive when. 365 00:18:09,640 --> 00:18:15,560 Speaker 2: There's more run like yes, bugger and salt. The neurobiology 366 00:18:15,600 --> 00:18:16,240 Speaker 2: of preference. 367 00:18:17,800 --> 00:18:20,919 Speaker 1: Let's let's focus on on on your work, because you 368 00:18:20,920 --> 00:18:25,320 Speaker 1: you've published noodles and noodles and noodles of publications around happiness. 369 00:18:25,320 --> 00:18:29,160 Speaker 1: You've written several books on happiness and and we'll explore 370 00:18:29,240 --> 00:18:30,000 Speaker 1: your latest one. 371 00:18:30,400 --> 00:18:33,000 Speaker 2: And but but what what. 372 00:18:32,400 --> 00:18:36,080 Speaker 1: What are some of the variables are some of the things, 373 00:18:36,359 --> 00:18:40,520 Speaker 1: actions that people can take that that play a role 374 00:18:40,800 --> 00:18:41,800 Speaker 1: in their happiness. 375 00:18:43,480 --> 00:18:48,160 Speaker 4: And is there well there's hundreds, Well, there's hundreds, right. 376 00:18:48,280 --> 00:18:51,119 Speaker 4: So there's so many things you can do, each of 377 00:18:51,160 --> 00:18:52,960 Speaker 4: us can do to be happier today. 378 00:18:53,160 --> 00:18:53,320 Speaker 1: Right. 379 00:18:53,440 --> 00:18:56,200 Speaker 4: So you can meditate, you can write a gratitude letter, 380 00:18:56,680 --> 00:19:00,000 Speaker 4: you can go exercise, you can follow some kind of 381 00:19:00,080 --> 00:19:03,040 Speaker 4: goal that you're exploring. You can forgive someone in your life, 382 00:19:03,160 --> 00:19:06,720 Speaker 4: you can savor your cup of tea. You know, there's 383 00:19:06,720 --> 00:19:08,919 Speaker 4: so many thing you can do in active kindness for someone. 384 00:19:10,200 --> 00:19:13,359 Speaker 4: What I'm finding maybe there's a hierarchy. I kind of 385 00:19:13,480 --> 00:19:15,600 Speaker 4: maybe don't want to use that term, but maybe that's 386 00:19:15,600 --> 00:19:20,200 Speaker 4: what it is. That what I concluded after decades of research. 387 00:19:20,240 --> 00:19:23,679 Speaker 4: So my lab pioneered what we call happiness interventions, right, 388 00:19:23,680 --> 00:19:26,920 Speaker 4: which are basically like clinical trials, but instead of testing 389 00:19:26,960 --> 00:19:30,160 Speaker 4: a vaccine or a medication, right, we're testing a happiness practice. 390 00:19:30,560 --> 00:19:32,400 Speaker 3: And we mostly. 391 00:19:32,119 --> 00:19:35,960 Speaker 4: Focus on three kinds of interventions. Gratitude interventions, right, we 392 00:19:35,960 --> 00:19:38,160 Speaker 4: asked you to write gratitude letters or count their blessings. 393 00:19:38,720 --> 00:19:41,359 Speaker 4: Kindness interventions we ask people to do acts of kindness 394 00:19:41,359 --> 00:19:44,320 Speaker 4: that they don't normally do for other people, as opposed 395 00:19:44,320 --> 00:19:47,600 Speaker 4: to for themselves, and we also started doing research on 396 00:19:47,640 --> 00:19:50,600 Speaker 4: what we asked people just to have more social interactions. 397 00:19:50,680 --> 00:19:53,000 Speaker 4: Just be social, go out there, be social, be extroverted, 398 00:19:53,520 --> 00:19:56,600 Speaker 4: you have a conversation. And what hit me a few 399 00:19:56,640 --> 00:20:00,560 Speaker 4: years ago is that almost all of these inter mentions 400 00:20:00,560 --> 00:20:04,560 Speaker 4: that we've been doing that work to make us happier. 401 00:20:04,760 --> 00:20:07,520 Speaker 4: The reason they work is that make us feel more 402 00:20:07,560 --> 00:20:10,080 Speaker 4: connected to others, and they make us feel more loved 403 00:20:10,160 --> 00:20:12,760 Speaker 4: by others. Right, So when I write a gratitude letter 404 00:20:13,080 --> 00:20:15,800 Speaker 4: to my best friend, it makes me feel more loved 405 00:20:15,840 --> 00:20:18,000 Speaker 4: by her, right. And when I do an act of 406 00:20:18,160 --> 00:20:21,560 Speaker 4: kindness for a colleague, right, it makes me feel closer 407 00:20:21,600 --> 00:20:22,440 Speaker 4: to the colleagues. 408 00:20:22,480 --> 00:20:24,720 Speaker 3: So I really that's the hierarchy. 409 00:20:24,760 --> 00:20:26,840 Speaker 4: I guess I would say anything that makes you feel 410 00:20:26,840 --> 00:20:29,880 Speaker 4: connected and loved seems to be. 411 00:20:29,720 --> 00:20:31,080 Speaker 3: The more important. 412 00:20:31,160 --> 00:20:31,280 Speaker 1: Now. 413 00:20:31,280 --> 00:20:33,960 Speaker 3: You can argue when you meditate. 414 00:20:33,680 --> 00:20:37,280 Speaker 4: Or you go running, and then that's not about connection 415 00:20:37,560 --> 00:20:38,879 Speaker 4: and feeling loved, you know. 416 00:20:38,920 --> 00:20:40,320 Speaker 3: So there are some exceptions. 417 00:20:40,760 --> 00:20:43,760 Speaker 4: I could still argue sometimes that you still feel connected 418 00:20:43,760 --> 00:20:46,320 Speaker 4: sometimes to others when you're exercising, et cetera. But anyway, 419 00:20:47,240 --> 00:20:49,439 Speaker 4: most of it is about feeling connected and loved. And 420 00:20:49,480 --> 00:20:55,240 Speaker 4: so that's why more recently my lab has been studying conversations. 421 00:20:55,400 --> 00:20:58,600 Speaker 4: It's sort of like how to because it turns out 422 00:20:58,800 --> 00:21:01,240 Speaker 4: and actually your podcast or so maybe you know this 423 00:21:01,280 --> 00:21:03,600 Speaker 4: although you do it for a living, so maybe if 424 00:21:03,640 --> 00:21:05,119 Speaker 4: you do it for a job, maybe it's different. But 425 00:21:05,200 --> 00:21:07,240 Speaker 4: like if I were to give you by number one 426 00:21:07,320 --> 00:21:10,760 Speaker 4: happiness tip, right, like what or give your listeners? This 427 00:21:10,840 --> 00:21:13,080 Speaker 4: is my number one happiness tip. If you're going to 428 00:21:13,160 --> 00:21:16,840 Speaker 4: do one thing today to be happier, what should you do? 429 00:21:17,680 --> 00:21:20,760 Speaker 4: I would say, go and have a conversation with someone, 430 00:21:21,200 --> 00:21:23,520 Speaker 4: say at least a fifteen minute conversation. It could be 431 00:21:23,560 --> 00:21:25,439 Speaker 4: with a barista in your coffee shop. It could be 432 00:21:25,480 --> 00:21:28,080 Speaker 4: with your partner, it could be with your child, it 433 00:21:28,119 --> 00:21:29,400 Speaker 4: could be with almost anyone. 434 00:21:29,440 --> 00:21:32,320 Speaker 3: Now. Of course, sometimes conversations don't go well right. 435 00:21:32,760 --> 00:21:36,600 Speaker 4: They can be versive or upsetting, But on average, research 436 00:21:36,600 --> 00:21:42,080 Speaker 4: shows you feel happier after a conversation than before, especially 437 00:21:42,520 --> 00:21:45,479 Speaker 4: if it's deeper conversations. So it's not just small So 438 00:21:45,760 --> 00:21:49,199 Speaker 4: we're also studying how to make the conversation go deeper, 439 00:21:49,320 --> 00:21:54,160 Speaker 4: asking questions of the other person, sharing more of yourself, 440 00:21:54,640 --> 00:21:58,000 Speaker 4: truly listening, showing curiosity. That's how you really make the 441 00:21:58,000 --> 00:22:00,880 Speaker 4: other person feel loved In the conversation and feel connected 442 00:22:00,880 --> 00:22:03,680 Speaker 4: to you. It's not just talking about and. 443 00:22:03,640 --> 00:22:06,240 Speaker 1: It's all of this because the human brain is fundamentally 444 00:22:06,280 --> 00:22:07,400 Speaker 1: a social organ. 445 00:22:09,600 --> 00:22:11,439 Speaker 4: I mean, you certainly can argue, right, this is how 446 00:22:11,520 --> 00:22:15,720 Speaker 4: humans survived, Right, We're hardwired to seek out, you know, 447 00:22:15,840 --> 00:22:20,359 Speaker 4: social behavior, social bonds because we survived, right. We need 448 00:22:20,359 --> 00:22:23,000 Speaker 4: that pride, We need to mate with someone to reproduce, 449 00:22:23,200 --> 00:22:25,640 Speaker 4: We need to try an alliance to help us. 450 00:22:25,840 --> 00:22:27,639 Speaker 3: And so we are very very attuned. 451 00:22:27,920 --> 00:22:30,880 Speaker 4: And when those social bonds are ripped, or when we're 452 00:22:30,920 --> 00:22:33,760 Speaker 4: stigmatized and we're thrown out of the group, right, we're 453 00:22:33,800 --> 00:22:34,440 Speaker 4: more lonely. 454 00:22:34,560 --> 00:22:34,760 Speaker 3: You know. 455 00:22:34,760 --> 00:22:37,240 Speaker 4: Loneliness is basically a signal to us that we need 456 00:22:37,240 --> 00:22:40,920 Speaker 4: to repair our social bonds. And it's very aversive, right 457 00:22:41,000 --> 00:22:44,240 Speaker 4: because in the past, in our ancestral past, you could argue, 458 00:22:44,480 --> 00:22:47,280 Speaker 4: we would have died, right if we were lonely, you know, 459 00:22:47,320 --> 00:22:51,080 Speaker 4: and now it feels like a death right almost, even 460 00:22:51,080 --> 00:22:52,040 Speaker 4: if it's not a real death. 461 00:22:53,280 --> 00:22:56,520 Speaker 1: So, yeah, I love the way you phrased loneliness there, 462 00:22:56,640 --> 00:22:59,560 Speaker 1: that it's a signal that we need to repair our 463 00:22:59,600 --> 00:23:03,240 Speaker 1: social bonds. Yeah, because generally, you know, you're away from 464 00:23:03,280 --> 00:23:06,200 Speaker 1: the tribe or you've had an argument with someone, and 465 00:23:06,760 --> 00:23:09,120 Speaker 1: that's that's what makes you feel lonely in the brain's 466 00:23:09,160 --> 00:23:12,360 Speaker 1: like this, this shit ain't good. Being on yourself by 467 00:23:12,400 --> 00:23:15,919 Speaker 1: yourself ain't good. I want to dive into gratitude. And 468 00:23:15,920 --> 00:23:20,880 Speaker 1: the reason I want to dive into gratitude is thirty 469 00:23:21,040 --> 00:23:24,480 Speaker 1: thirty years ago, I was in India and I was 470 00:23:24,520 --> 00:23:27,560 Speaker 1: backpacking around India and a little holy village called Puri 471 00:23:28,280 --> 00:23:33,919 Speaker 1: and met a beggar who had leprosy and ella fantasis 472 00:23:34,760 --> 00:23:36,639 Speaker 1: or his foods like the size of an and he 473 00:23:36,720 --> 00:23:40,600 Speaker 1: had left and it was really really confronting, and I 474 00:23:40,720 --> 00:23:42,399 Speaker 1: gave him a little bit of money and had to 475 00:23:42,520 --> 00:23:45,800 Speaker 1: chat with him, and and he went away. It was 476 00:23:46,000 --> 00:23:48,280 Speaker 1: like a home made rickety go kart. And I went 477 00:23:48,320 --> 00:23:50,880 Speaker 1: to walk away, and I remember this to this day. 478 00:23:50,960 --> 00:23:55,040 Speaker 1: Something in my brain just clicked and said, don't walk away. 479 00:23:55,320 --> 00:23:57,840 Speaker 1: Just stand here and watch this guy until you can 480 00:23:57,920 --> 00:24:01,600 Speaker 1: no longer see him, and never ever forget this guy. 481 00:24:01,760 --> 00:24:05,920 Speaker 1: And whenever you're feeling sorry for yourself, just remember him. 482 00:24:06,200 --> 00:24:09,720 Speaker 1: And and because of him, I've done a gratitude ritual 483 00:24:10,119 --> 00:24:12,560 Speaker 1: every year. He's been the trigger for me to think, 484 00:24:13,480 --> 00:24:16,800 Speaker 1: while I'm so grateful that that I have my health, 485 00:24:16,880 --> 00:24:20,880 Speaker 1: because I've seen something with that and I really instilled it. 486 00:24:21,440 --> 00:24:24,439 Speaker 1: So and for me, there's a there's a little bit 487 00:24:24,480 --> 00:24:28,919 Speaker 1: of gratitude that that is that that kind of helps 488 00:24:28,960 --> 00:24:33,879 Speaker 1: you to go, actually, my situation here is really not 489 00:24:34,000 --> 00:24:36,760 Speaker 1: that bad and it could be a shitload worse. And 490 00:24:36,920 --> 00:24:40,040 Speaker 1: for me there's that it's almost like, you know, there's 491 00:24:40,320 --> 00:24:44,760 Speaker 1: there's this upwards social comparison in social media that that 492 00:24:44,760 --> 00:24:46,679 Speaker 1: that really makes people unhappy. 493 00:24:47,400 --> 00:24:48,800 Speaker 2: For me, I've been thinking about this. 494 00:24:49,000 --> 00:24:51,840 Speaker 1: Is there a component of gratitude that's that that when 495 00:24:51,920 --> 00:24:54,800 Speaker 1: you see things like that is almost like a downward 496 00:24:54,880 --> 00:24:58,399 Speaker 1: social comparison is like I'm a shitload better than I 497 00:24:58,520 --> 00:25:02,720 Speaker 1: could be, even if my circumstances on grit. Is there 498 00:25:02,840 --> 00:25:06,800 Speaker 1: anything in that Do you think that's independent of the 499 00:25:06,960 --> 00:25:08,959 Speaker 1: connection part of gratitude? 500 00:25:10,119 --> 00:25:12,639 Speaker 4: Okay, there absolutely is, although it all really has to 501 00:25:12,680 --> 00:25:15,600 Speaker 4: do with connection, right because all about us and other people. 502 00:25:15,520 --> 00:25:16,359 Speaker 3: There absolutely is. 503 00:25:16,400 --> 00:25:18,879 Speaker 4: But I want to add a caveat you know, my 504 00:25:19,560 --> 00:25:22,800 Speaker 4: dissertation research was actually about social mediawers and what I 505 00:25:22,800 --> 00:25:27,640 Speaker 4: found is that basically because I thought exactly what you said, 506 00:25:27,680 --> 00:25:29,640 Speaker 4: that sort of the secret and one of the secrets 507 00:25:29,640 --> 00:25:32,560 Speaker 4: to happiness is to compare downwards so you can see 508 00:25:32,600 --> 00:25:35,320 Speaker 4: how much how much worse your life could have been. Right, 509 00:25:35,359 --> 00:25:39,639 Speaker 4: And by the way, that definitely works sometimes with gratitude exercises, 510 00:25:39,680 --> 00:25:42,240 Speaker 4: you say, and I have my own stories, you're the 511 00:25:42,280 --> 00:25:44,920 Speaker 4: story you told is very powerful. 512 00:25:44,320 --> 00:25:46,840 Speaker 3: And yet it's not it's not. 513 00:25:46,880 --> 00:25:50,040 Speaker 4: Really a good recommendation, right to be like, to be happier, 514 00:25:50,720 --> 00:25:53,159 Speaker 4: just look, you know, sort of look at the people 515 00:25:53,200 --> 00:25:55,359 Speaker 4: who are doing worse than you. And when you look 516 00:25:55,400 --> 00:25:59,240 Speaker 4: at people who are naturally happy and unhappy, what we found, 517 00:25:59,320 --> 00:26:02,040 Speaker 4: that's what we thought was gonna happen. Actually, people who 518 00:26:02,119 --> 00:26:05,600 Speaker 4: are happy just don't tend to compare themselves as much 519 00:26:05,600 --> 00:26:08,159 Speaker 4: to others at all. It's not that they don't notice it, 520 00:26:08,200 --> 00:26:10,600 Speaker 4: but they're not like it's the unhappy people who are 521 00:26:10,680 --> 00:26:14,280 Speaker 4: constantly comparing. They're like people who are lower people are higher. 522 00:26:14,680 --> 00:26:16,840 Speaker 4: They're just very a tune to social comparison. It just 523 00:26:16,840 --> 00:26:20,320 Speaker 4: turns out being a tune to social comparison can be toxic, right, 524 00:26:20,440 --> 00:26:23,560 Speaker 4: So ruminating about social comparison can be toxic. And so 525 00:26:23,640 --> 00:26:26,440 Speaker 4: happier people just they don't tend to compare. They tend 526 00:26:26,480 --> 00:26:28,600 Speaker 4: to use their own kind of standards, you know. But 527 00:26:28,680 --> 00:26:31,960 Speaker 4: having said that, what you say is very powerful that 528 00:26:32,080 --> 00:26:34,359 Speaker 4: once in a while we do have to remind ourselves 529 00:26:34,720 --> 00:26:37,280 Speaker 4: that things could be a lot worse. I'm just saying 530 00:26:37,320 --> 00:26:39,439 Speaker 4: it's not a recipe for happiness to be like, well, 531 00:26:39,600 --> 00:26:41,440 Speaker 4: there are people who are much poorer than I am, 532 00:26:41,520 --> 00:26:45,560 Speaker 4: so so you know, good for me, right, But I 533 00:26:45,640 --> 00:26:47,040 Speaker 4: have a story that's sort of similar to you, a 534 00:26:47,080 --> 00:26:49,160 Speaker 4: little bit similar to yours, but different is that when 535 00:26:49,200 --> 00:26:52,200 Speaker 4: I had my first child, who was about three years old, 536 00:26:52,240 --> 00:26:53,879 Speaker 4: two or three years old, and I put her in 537 00:26:53,920 --> 00:26:58,399 Speaker 4: a preschool and which was just a block away, and 538 00:26:58,440 --> 00:27:00,960 Speaker 4: she would just scream and scream when I would drop 539 00:27:00,960 --> 00:27:02,520 Speaker 4: her off, you know, I would leave and she would 540 00:27:02,520 --> 00:27:04,960 Speaker 4: just scream, and it was so awful. And none of 541 00:27:04,960 --> 00:27:08,280 Speaker 4: the other kids would would scream. They would say, by mommy, right, 542 00:27:08,320 --> 00:27:10,639 Speaker 4: and they'd be fine except for mine, right, And it 543 00:27:10,680 --> 00:27:12,760 Speaker 4: was so awful and it was so upsetting. It's my 544 00:27:12,800 --> 00:27:15,399 Speaker 4: first child. Right after that, it gets easier, right. And 545 00:27:15,440 --> 00:27:18,360 Speaker 4: then I remember a few times walking home and I'm 546 00:27:18,359 --> 00:27:21,240 Speaker 4: just like crying and there's a kid on my block 547 00:27:21,280 --> 00:27:26,479 Speaker 4: who's severely autistic, really disabled and also disabled, and I 548 00:27:26,520 --> 00:27:28,000 Speaker 4: remember I would run into him. He would sort of 549 00:27:28,000 --> 00:27:30,280 Speaker 4: walk around the block and he was like maybe a 550 00:27:30,320 --> 00:27:32,360 Speaker 4: teenager and it would. 551 00:27:32,160 --> 00:27:34,560 Speaker 3: Hit me, right, it would hit me like what am I? 552 00:27:34,640 --> 00:27:35,720 Speaker 3: Why am I crying? 553 00:27:35,840 --> 00:27:39,520 Speaker 4: You know, like, you know, my situation is so much better. Yes, 554 00:27:39,560 --> 00:27:42,320 Speaker 4: she's having a trouble, you know, adjusting preschool, like things 555 00:27:42,359 --> 00:27:46,439 Speaker 4: could be so much worse. She's healthy. So it's a 556 00:27:46,440 --> 00:27:48,600 Speaker 4: similar kind of thing. So it does work sometimes to 557 00:27:48,720 --> 00:27:52,360 Speaker 4: kind of jolt you, jolt you out of sort of 558 00:27:52,440 --> 00:27:56,280 Speaker 4: your own misery maybe, but I think it's not a 559 00:27:56,280 --> 00:27:58,520 Speaker 4: long term say, you know, long term solution is really 560 00:28:00,000 --> 00:28:00,239 Speaker 4: all right. 561 00:28:00,280 --> 00:28:04,119 Speaker 1: So one other thing that I do, there's a little 562 00:28:04,200 --> 00:28:08,159 Speaker 1: comparison to stuff that you have been through before. So 563 00:28:08,480 --> 00:28:10,159 Speaker 1: when I was in the military, I went through ten 564 00:28:10,240 --> 00:28:13,320 Speaker 1: days of combat survival and resistance to interrogation training, which 565 00:28:13,440 --> 00:28:16,960 Speaker 1: was horrible. And we were in the middle in the UK, 566 00:28:17,080 --> 00:28:18,680 Speaker 1: in the middle of the winter. We had no sleeping 567 00:28:18,760 --> 00:28:21,919 Speaker 1: bags and we were thrashed physically every day, and I 568 00:28:22,040 --> 00:28:25,560 Speaker 1: remember every night trying to get to sleep and being 569 00:28:25,720 --> 00:28:29,960 Speaker 1: so cold and so uncomfortable. And now every single night 570 00:28:30,080 --> 00:28:33,600 Speaker 1: when I lie down in bed, I say to myself, Hi, 571 00:28:33,880 --> 00:28:36,840 Speaker 1: friggin awesome is a mattress and a pillow? 572 00:28:37,920 --> 00:28:38,040 Speaker 2: Right? 573 00:28:38,680 --> 00:28:41,600 Speaker 3: So beautiful? You still have that because most people. 574 00:28:41,680 --> 00:28:46,000 Speaker 1: And I forced myself to remember, Right, it's an actual 575 00:28:47,120 --> 00:28:51,120 Speaker 1: habit that I have to go. This is frigging awesome, 576 00:28:51,120 --> 00:28:53,720 Speaker 1: because I think we just take things for granted. 577 00:28:53,800 --> 00:28:55,440 Speaker 2: You know, the more we have it, the more we 578 00:28:55,520 --> 00:28:57,520 Speaker 2: take it for granted. 579 00:28:58,080 --> 00:29:03,040 Speaker 4: And gratitude is basically the opposite granted. Right, It's basically saying, no, 580 00:29:03,120 --> 00:29:05,360 Speaker 4: I'm grateful. I have a friend who spend a lot 581 00:29:05,400 --> 00:29:07,720 Speaker 4: of time in developing countries and they often remind me. 582 00:29:07,760 --> 00:29:09,560 Speaker 3: They're like, we have indoor plumbing. 583 00:29:10,160 --> 00:29:13,479 Speaker 4: Isn't it amazing to go and turn the water on 584 00:29:13,680 --> 00:29:15,600 Speaker 4: and water comes out? 585 00:29:15,920 --> 00:29:18,600 Speaker 3: Or an electricity that's reliable, you know. 586 00:29:18,680 --> 00:29:20,760 Speaker 4: So yeah, and it's just most of us have a 587 00:29:20,800 --> 00:29:24,240 Speaker 4: hard time like remembering that every day. So actually, I 588 00:29:24,320 --> 00:29:28,480 Speaker 4: applaud you for having that practice every day, or the 589 00:29:28,680 --> 00:29:30,920 Speaker 4: or the beggar that you met, right, to remind yourself, 590 00:29:31,200 --> 00:29:32,920 Speaker 4: because we forget, we take for granted. 591 00:29:32,920 --> 00:29:36,680 Speaker 3: And yeah, so that's what gratitude is. Gratitude is a. 592 00:29:36,640 --> 00:29:41,040 Speaker 4: Practice where you intentionally try to not take for granted. 593 00:29:41,120 --> 00:29:43,080 Speaker 1: Yeah, and you just hit something on the neil that 594 00:29:43,120 --> 00:29:47,240 Speaker 1: I've been thinking a lot about, which is combining gratitude 595 00:29:47,280 --> 00:29:48,000 Speaker 1: with awe. 596 00:29:48,800 --> 00:29:50,440 Speaker 2: And so occasionally I'll. 597 00:29:50,360 --> 00:29:53,040 Speaker 1: Turn the water on and I'll go, fucking hell o 598 00:29:53,200 --> 00:29:56,800 Speaker 1: coldes that shit running water and exactly what you said, 599 00:29:56,840 --> 00:29:59,840 Speaker 1: I'll turn a light on. I'll go, that's freaking Ama, 600 00:30:01,200 --> 00:30:03,200 Speaker 1: really ridiculously amazing. 601 00:30:03,680 --> 00:30:05,320 Speaker 3: I love his experiences. 602 00:30:05,400 --> 00:30:08,280 Speaker 4: Yeah, I have the same thing with like, uh, like 603 00:30:08,320 --> 00:30:10,040 Speaker 4: there are people who take out the tri I'm so 604 00:30:10,120 --> 00:30:11,480 Speaker 4: grateful for the people who. 605 00:30:11,360 --> 00:30:15,000 Speaker 3: Take out are right. Imagine how amazing that is. 606 00:30:15,040 --> 00:30:17,160 Speaker 4: And then we don't have to worry, you know, we 607 00:30:17,320 --> 00:30:20,160 Speaker 4: just kind of put in the shoot and and and or. 608 00:30:20,200 --> 00:30:22,920 Speaker 4: Another example I have is like I remember once I 609 00:30:23,000 --> 00:30:26,400 Speaker 4: was crossing the Brooklyn Bridge in New York City, and 610 00:30:26,480 --> 00:30:29,800 Speaker 4: I was just odd by this bridge and how many 611 00:30:29,840 --> 00:30:34,200 Speaker 4: people came together to build this bridge, like the construction 612 00:30:34,360 --> 00:30:37,400 Speaker 4: workers and the architects and the engineers and all of that, 613 00:30:37,480 --> 00:30:39,920 Speaker 4: and and it's it's and I'm so grateful and like 614 00:30:40,040 --> 00:30:43,680 Speaker 4: thank you all. And you know, and some people are 615 00:30:43,720 --> 00:30:46,440 Speaker 4: better Dallay Lama often talks about that. It's like when 616 00:30:46,480 --> 00:30:49,920 Speaker 4: you think about everything, the computer, the glass of water, 617 00:30:50,080 --> 00:30:52,800 Speaker 4: like how many people actually had to come together to 618 00:30:52,920 --> 00:30:55,400 Speaker 4: bring you that book on your table, you know, that 619 00:30:55,760 --> 00:30:59,120 Speaker 4: banana you're eating whatever to make that happen. So to 620 00:30:59,160 --> 00:31:02,080 Speaker 4: continually be great, all is very hard for most of us. 621 00:31:02,080 --> 00:31:03,040 Speaker 4: But let's let's try. 622 00:31:03,360 --> 00:31:07,040 Speaker 1: As anybody looked into what's going on in the brain 623 00:31:07,320 --> 00:31:12,000 Speaker 1: during moments of gratitude. And you also talked about about 624 00:31:12,080 --> 00:31:14,880 Speaker 1: seaver rings, So take ticketos in any order you want, 625 00:31:14,920 --> 00:31:20,320 Speaker 1: like other distinct pathways that are activated in the brain 626 00:31:20,400 --> 00:31:21,960 Speaker 1: when we're doing these sorts of things. 627 00:31:24,040 --> 00:31:25,920 Speaker 3: You know, I only know of one study, and I 628 00:31:25,920 --> 00:31:29,440 Speaker 3: actually don't remember. It was Naomi at U c l A. 629 00:31:31,120 --> 00:31:32,880 Speaker 2: And she's the one who. 630 00:31:32,360 --> 00:31:35,440 Speaker 4: Found like social pain, right, but she also did a 631 00:31:35,480 --> 00:31:37,520 Speaker 4: study of gratitude. I don't know if she really ever 632 00:31:37,600 --> 00:31:42,920 Speaker 4: found something that was very unique to gratitude. So I 633 00:31:42,920 --> 00:31:44,760 Speaker 4: think we're just more studies. And I need to look 634 00:31:44,800 --> 00:31:47,080 Speaker 4: up that study to confirm. But I think we just 635 00:31:47,120 --> 00:31:50,760 Speaker 4: need more studies. Uh yeah, just just look at what's 636 00:31:50,760 --> 00:31:52,440 Speaker 4: happening in the brain. I think that's very useful. 637 00:31:52,480 --> 00:31:54,440 Speaker 1: And so you talked about a couple of other things 638 00:31:54,480 --> 00:31:57,160 Speaker 1: that you you just rattled off, and I do want 639 00:31:57,200 --> 00:32:01,480 Speaker 1: to explore some of them kind of yes, So what's 640 00:32:01,520 --> 00:32:06,840 Speaker 1: going on with acts of kindness and why do they 641 00:32:07,560 --> 00:32:09,880 Speaker 1: seem to impact our happiness? 642 00:32:12,560 --> 00:32:14,680 Speaker 4: Well, I want to get back to again, getting back 643 00:32:14,680 --> 00:32:18,080 Speaker 4: to connect Yeah, social connections feel loved, you know. In 644 00:32:18,120 --> 00:32:21,080 Speaker 4: my book How to Feel Loved, one mindset we talk 645 00:32:21,080 --> 00:32:23,720 Speaker 4: about is called the open heart mindset, which is that 646 00:32:23,840 --> 00:32:26,640 Speaker 4: to feel loved, you need to make other people feel loved, 647 00:32:26,640 --> 00:32:28,880 Speaker 4: which is directing kind of an open heart towards them. 648 00:32:28,920 --> 00:32:32,200 Speaker 4: And so kindness is probably the main factor there, sort 649 00:32:32,240 --> 00:32:36,160 Speaker 4: of being kind, compassionate toward others, believing in other people, 650 00:32:36,840 --> 00:32:40,080 Speaker 4: you know, wanting other people to be happy. Right, And 651 00:32:40,160 --> 00:32:42,400 Speaker 4: so that's actually one way I like to think about it. 652 00:32:42,520 --> 00:32:44,040 Speaker 4: I want you to be well, I want you to 653 00:32:44,040 --> 00:32:47,040 Speaker 4: be happy. Like that's really, you know, what what open 654 00:32:47,040 --> 00:32:49,560 Speaker 4: heart and kindness is about. And so we've done quite 655 00:32:49,560 --> 00:32:53,080 Speaker 4: a few studies where we randomly assign people to you know, 656 00:32:53,120 --> 00:32:57,120 Speaker 4: say for the next month, say every Monday, we want 657 00:32:57,160 --> 00:33:00,200 Speaker 4: you to do three acts of kindness for other people 658 00:33:00,320 --> 00:33:03,520 Speaker 4: that you don't normally do. And then we have various 659 00:33:03,520 --> 00:33:07,960 Speaker 4: comparison conditions. And my favorite comparison condition is every Monday, 660 00:33:08,200 --> 00:33:11,080 Speaker 4: you do three acts of kindness for yourself that you 661 00:33:11,120 --> 00:33:13,720 Speaker 4: don't normally do. So that could be self care, it 662 00:33:13,720 --> 00:33:16,200 Speaker 4: could be something self indulgent like take a nap, have 663 00:33:16,280 --> 00:33:19,520 Speaker 4: a piece of chocolate, you know, yeah, you know, not 664 00:33:19,600 --> 00:33:22,160 Speaker 4: social things, but just kind of things for yourself. And 665 00:33:22,200 --> 00:33:24,719 Speaker 4: what we find is that people become happier, feel more 666 00:33:24,720 --> 00:33:25,480 Speaker 4: connected when they do. 667 00:33:25,480 --> 00:33:26,440 Speaker 3: Acts of kindness for others. 668 00:33:26,440 --> 00:33:28,440 Speaker 4: You know, for lots of reasons, right, it feels good 669 00:33:28,480 --> 00:33:31,160 Speaker 4: to be kind other people you know like you more, 670 00:33:31,200 --> 00:33:36,880 Speaker 4: they reciprocate, they smile. We also have done You've asked 671 00:33:36,880 --> 00:33:38,480 Speaker 4: a lot of a number of questions about the brain. 672 00:33:39,320 --> 00:33:42,480 Speaker 3: Well, I've partnered with a with a. 673 00:33:42,440 --> 00:33:45,720 Speaker 4: Collaborat named Steve Cole who founded the field, a field 674 00:33:45,760 --> 00:33:49,560 Speaker 4: called social gal So this is a big RNA g 675 00:33:49,680 --> 00:33:52,800 Speaker 4: and expression and how that gets under the skin because 676 00:33:52,800 --> 00:33:55,520 Speaker 4: of social behavior. So basically we do these studies where 677 00:33:55,520 --> 00:33:57,280 Speaker 4: we ask people to do acts of kindness for others 678 00:33:57,320 --> 00:34:00,680 Speaker 4: or for themselves, and then we collect blood from them 679 00:34:00,920 --> 00:34:04,640 Speaker 4: before and after. The intervention is a month long intervention. 680 00:34:05,280 --> 00:34:07,800 Speaker 4: And what we found in now like three or four studies, 681 00:34:08,440 --> 00:34:10,360 Speaker 4: is it people who are three studies, people who do 682 00:34:10,360 --> 00:34:14,440 Speaker 4: acts of kindness for others show changes in their RNA 683 00:34:14,600 --> 00:34:19,680 Speaker 4: gene expression that are associated with a stronger immuniate. 684 00:34:19,640 --> 00:34:20,720 Speaker 2: While basically. 685 00:34:23,239 --> 00:34:26,000 Speaker 4: As opposed to people who do acts of kindness for themselves. Now, 686 00:34:26,000 --> 00:34:28,319 Speaker 4: it feels good to do something for yourself, but it 687 00:34:28,360 --> 00:34:31,080 Speaker 4: doesn't seem to get under the skin in the way 688 00:34:31,239 --> 00:34:33,440 Speaker 4: that doing acts of kindness for others. And you can 689 00:34:33,480 --> 00:34:36,160 Speaker 4: imagine again by adaptive right to help. 690 00:34:36,600 --> 00:34:39,320 Speaker 1: I was going to say, is this driven by evolutionary biology? 691 00:34:39,320 --> 00:34:44,880 Speaker 1: Even it's gotta be right everything, Yeah, And talking about biology, 692 00:34:45,120 --> 00:34:49,439 Speaker 1: and so I call myself a psychophysiologist, and I say 693 00:34:49,480 --> 00:34:52,360 Speaker 1: to people, be interesting to get your take on this statement. 694 00:34:52,400 --> 00:34:54,920 Speaker 1: I say to people, anybody who tells you that you 695 00:34:54,960 --> 00:34:59,160 Speaker 1: can optimize mental health just with thinking skills is completely 696 00:34:59,200 --> 00:35:04,920 Speaker 1: bot check create because of the very strong two way 697 00:35:04,960 --> 00:35:09,919 Speaker 1: interaction between psychology and biology. Right that everybody knows that 698 00:35:10,040 --> 00:35:14,960 Speaker 1: if you're depressed, it affects your biology, But my god, 699 00:35:15,000 --> 00:35:18,879 Speaker 1: does your physiology or biology affect your psychology. And when 700 00:35:18,920 --> 00:35:22,200 Speaker 1: we think about exercise and all the neurotransmitters that are 701 00:35:22,200 --> 00:35:26,560 Speaker 1: released and the mild kinds that are released that have 702 00:35:26,680 --> 00:35:29,600 Speaker 1: actions throughout your body from contracting muscle, we think of 703 00:35:29,680 --> 00:35:34,840 Speaker 1: vinomin D. That's actually quite an effect of antidepressant. Or actually, 704 00:35:34,880 --> 00:35:39,520 Speaker 1: I'm beginning to think it's not such that exercise, good 705 00:35:39,640 --> 00:35:44,080 Speaker 1: food and vinomin D and other things are antidepressants. I 706 00:35:44,120 --> 00:35:48,759 Speaker 1: think the absence of them are depressants because they are 707 00:35:49,600 --> 00:35:53,239 Speaker 1: fundamentally changing our biological environment. 708 00:35:54,480 --> 00:35:56,000 Speaker 2: What's your thoughts on that? 709 00:35:57,120 --> 00:35:58,040 Speaker 3: I absolutely agree with you. 710 00:35:58,120 --> 00:35:59,680 Speaker 4: Yeah, And the body there is more of an emphasis, 711 00:35:59,719 --> 00:36:01,520 Speaker 4: by the way, if you go to a therapist now 712 00:36:01,640 --> 00:36:03,719 Speaker 4: you know, well it depends where I guess, but there's 713 00:36:03,719 --> 00:36:06,040 Speaker 4: more of an emphasis on the body. And like somatic 714 00:36:06,560 --> 00:36:10,160 Speaker 4: therapy is becoming very popular, at least in California where 715 00:36:10,200 --> 00:36:13,080 Speaker 4: I live, you know where you know now the therapists 716 00:36:13,120 --> 00:36:15,200 Speaker 4: are not only asking you what you're thinking, but they're 717 00:36:15,200 --> 00:36:17,400 Speaker 4: asking you, like, what are you feeling in your body 718 00:36:17,480 --> 00:36:20,080 Speaker 4: right now? And of course there's always been, I think, 719 00:36:20,120 --> 00:36:24,640 Speaker 4: an importance of things like exercise and diet and self care. 720 00:36:25,400 --> 00:36:29,720 Speaker 4: But I do disagree though with the quote you made. Again, 721 00:36:29,800 --> 00:36:32,240 Speaker 4: things are always more nuanced, right. So it's of course 722 00:36:32,400 --> 00:36:33,480 Speaker 4: how you think matters. 723 00:36:33,520 --> 00:36:35,440 Speaker 3: I mean, of course it matters. It's just that it's 724 00:36:35,440 --> 00:36:36,160 Speaker 3: not the only thing. 725 00:36:36,280 --> 00:36:39,240 Speaker 4: You know, how you think matters, how you feel matters, 726 00:36:39,600 --> 00:36:41,520 Speaker 4: what you're doing with your body, matters, what you put 727 00:36:41,520 --> 00:36:44,359 Speaker 4: into your body. They all matter, right. I can't put 728 00:36:44,360 --> 00:36:47,440 Speaker 4: a number on what's sort of more important when. But 729 00:36:47,520 --> 00:36:49,279 Speaker 4: it's just that we don't want to overemphasize. For a 730 00:36:49,320 --> 00:36:53,400 Speaker 4: long time, we've overemphasized like cognitive behavioral therapy. Right, overemphasize 731 00:36:53,440 --> 00:36:57,319 Speaker 4: I think thinking, but it's very it's important and it 732 00:36:57,360 --> 00:36:59,799 Speaker 4: works by the way, you know. And if we only 733 00:36:59,840 --> 00:37:01,880 Speaker 4: own emphasize what's going on with the body and not 734 00:37:02,000 --> 00:37:06,760 Speaker 4: with the head, you know, that's that's going to be wrongs. 735 00:37:05,960 --> 00:37:10,719 Speaker 1: To Rennie Jagcart for us all, didn't they there's sole 736 00:37:10,800 --> 00:37:14,440 Speaker 1: idea of dualism. But I mean in the inn the 737 00:37:14,600 --> 00:37:18,600 Speaker 1: experiments that you do, like to talk our listeners story, 738 00:37:18,680 --> 00:37:24,120 Speaker 1: how you design an experiment around happiness to control for 739 00:37:24,680 --> 00:37:28,719 Speaker 1: confounding factors, you know, whether it's biological factors such as 740 00:37:28,719 --> 00:37:32,920 Speaker 1: exercise or other factors that could do it gives us 741 00:37:32,920 --> 00:37:35,200 Speaker 1: a sense of just part of researcher think. 742 00:37:37,120 --> 00:37:39,719 Speaker 4: Sure, well, since I already mentioned the kindness experiment, I 743 00:37:39,719 --> 00:37:42,800 Speaker 4: can kind of start with that one. Well, again, that 744 00:37:43,640 --> 00:37:47,279 Speaker 4: we control for confounding factors by making it a true experiment, right, 745 00:37:47,520 --> 00:37:50,120 Speaker 4: we do what are called randomized control trials. 746 00:37:50,160 --> 00:37:53,480 Speaker 3: So so if I randomly if I have let's say, three. 747 00:37:53,440 --> 00:37:57,200 Speaker 4: Hundred people, and I randomly assign a hundred of them, 748 00:37:57,200 --> 00:37:59,560 Speaker 4: so that means that you have an equal chance of 749 00:37:59,600 --> 00:38:00,920 Speaker 4: being an any of the conditions. 750 00:38:01,040 --> 00:38:02,400 Speaker 3: Right, So it's random assignment. 751 00:38:02,800 --> 00:38:04,919 Speaker 4: I randomly assigned one hundred people out of the three 752 00:38:04,960 --> 00:38:08,560 Speaker 4: hundred to do acts of kindness for others. I randomly 753 00:38:08,600 --> 00:38:10,560 Speaker 4: assigned one hundred people. I tell them, you do acts 754 00:38:10,600 --> 00:38:11,719 Speaker 4: of kindness for yourself. 755 00:38:12,000 --> 00:38:13,320 Speaker 3: And then I randomly signed. 756 00:38:13,120 --> 00:38:15,840 Speaker 4: One hundred people to keep a dry diary, sort of 757 00:38:15,840 --> 00:38:17,959 Speaker 4: a control condition. Keep a diary of what you're doing 758 00:38:17,960 --> 00:38:20,680 Speaker 4: every week. So it's sort of a neutral something neutral. 759 00:38:20,719 --> 00:38:23,600 Speaker 4: So because it's random assiviety, it controls for everything, right, 760 00:38:23,680 --> 00:38:26,520 Speaker 4: so it doesn't matter. Maybe they're so some people say, 761 00:38:26,600 --> 00:38:28,840 Speaker 4: what if you have more people who are you know, 762 00:38:29,600 --> 00:38:32,919 Speaker 4: extroverted in the condition that's kind, or what if people 763 00:38:33,000 --> 00:38:36,040 Speaker 4: are healthier in the in the condition that's you know, 764 00:38:36,200 --> 00:38:38,640 Speaker 4: kind to others? What if you have people who are 765 00:38:38,640 --> 00:38:42,080 Speaker 4: older or richer, And that's not going to happen because 766 00:38:42,080 --> 00:38:44,359 Speaker 4: that's why you have random assignments. So then you don't 767 00:38:44,440 --> 00:38:49,000 Speaker 4: have any confounds you know now in correlational or longitunal research. 768 00:38:49,040 --> 00:38:51,000 Speaker 4: So for example, let's say I wanted to know, Let's 769 00:38:51,000 --> 00:38:53,040 Speaker 4: say ask people how kind are you? 770 00:38:53,120 --> 00:38:53,560 Speaker 3: Every day? 771 00:38:53,600 --> 00:38:56,000 Speaker 4: Can you sort of write a diary of how kind 772 00:38:56,040 --> 00:38:58,040 Speaker 4: you are to others and other people? I say, and 773 00:38:58,239 --> 00:39:00,319 Speaker 4: I ask everyone to write a diary of how kind 774 00:39:00,320 --> 00:39:03,279 Speaker 4: of they are to themselves or others. And I find oh, 775 00:39:03,320 --> 00:39:06,759 Speaker 4: people who are kinder to others in their diaries, right, 776 00:39:07,080 --> 00:39:11,160 Speaker 4: are happier. Well then, because it's the correlation. I don't 777 00:39:11,239 --> 00:39:13,839 Speaker 4: know what's responsible for it. Maybe people who are kinder 778 00:39:13,880 --> 00:39:16,840 Speaker 4: to others are just happier to begin with. Maybe they're older, 779 00:39:16,880 --> 00:39:20,000 Speaker 4: maybe they're wiser, maybe they're healthier, maybe they're richer. Right, 780 00:39:20,120 --> 00:39:22,719 Speaker 4: So that's why we do experiments. So that's how my 781 00:39:22,760 --> 00:39:24,440 Speaker 4: mind thinks is in terms of experiment. 782 00:39:25,480 --> 00:39:28,440 Speaker 1: And now you did mention their extra version, and you 783 00:39:28,480 --> 00:39:32,600 Speaker 1: remind me I did want to ask you about personality, 784 00:39:34,160 --> 00:39:36,160 Speaker 1: and you know, there's many different personality types, but I 785 00:39:36,200 --> 00:39:40,480 Speaker 1: think the Big five is the one that's probably most 786 00:39:40,520 --> 00:39:42,160 Speaker 1: respected by psychologists. 787 00:39:42,960 --> 00:39:45,040 Speaker 2: I mean, correct me if I'm wrong, But do you. 788 00:39:45,040 --> 00:39:51,000 Speaker 1: Things like extraversion, openness, conscientiousness that did they have an 789 00:39:51,120 --> 00:39:53,560 Speaker 1: impact on happiness? 790 00:39:54,960 --> 00:39:55,440 Speaker 3: Absolutely? 791 00:39:55,480 --> 00:39:58,600 Speaker 4: So, yeah, the Big five definitely the acronymus ocean right, 792 00:39:58,640 --> 00:40:04,440 Speaker 4: oh C yeah, yeah, and very high correlations with happiness. Right, So, 793 00:40:04,480 --> 00:40:07,160 Speaker 4: happier people are more likely to be extroverted, less likely 794 00:40:07,160 --> 00:40:11,360 Speaker 4: to be neurotic. And there's smaller correlations but still correlations 795 00:40:11,360 --> 00:40:17,920 Speaker 4: with agreeableness, conscientiousness, and openness. So yeah, but again these 796 00:40:17,960 --> 00:40:20,960 Speaker 4: are correlations. And so some people think, for example, there's 797 00:40:21,000 --> 00:40:25,120 Speaker 4: a common genetic factor or by factor, I mean lots 798 00:40:25,120 --> 00:40:29,080 Speaker 4: of genes, right, so it's shared both by happiness and 799 00:40:29,760 --> 00:40:30,680 Speaker 4: people who are sort of. 800 00:40:30,640 --> 00:40:33,080 Speaker 3: Extroverted or not not neurotic. 801 00:40:33,239 --> 00:40:35,400 Speaker 4: Right, So it could be some kind of a third 802 00:40:35,440 --> 00:40:39,439 Speaker 4: factor that's responsible for them. But yeah, absolutely, personality matter. 803 00:40:39,520 --> 00:40:43,080 Speaker 1: Okay, and let's talk about you said personality. 804 00:40:42,920 --> 00:40:44,839 Speaker 2: Can you can people. 805 00:40:44,680 --> 00:40:49,359 Speaker 1: Personalize happiness strategies, like there's some things. 806 00:40:49,040 --> 00:40:52,359 Speaker 2: That work better for some types of. 807 00:40:52,239 --> 00:40:56,040 Speaker 1: Individuals or some particular cultures are. 808 00:40:56,600 --> 00:40:59,359 Speaker 4: Yeah, absolutely, yeah, absolutely, there's a I talk a lot 809 00:40:59,400 --> 00:41:02,440 Speaker 4: about in my first book, The Health Happiness. That's when 810 00:41:02,440 --> 00:41:05,400 Speaker 4: I first raised the idea fit you know, so you 811 00:41:05,480 --> 00:41:07,919 Speaker 4: have to sort of find the strategy that fits you 812 00:41:09,239 --> 00:41:11,640 Speaker 4: and also how to do it. So I think gratitude 813 00:41:12,200 --> 00:41:15,480 Speaker 4: is a fairly universally good strategy, you know. But some 814 00:41:15,480 --> 00:41:18,759 Speaker 4: people are artistics, so they might create like a gratitude 815 00:41:18,760 --> 00:41:22,240 Speaker 4: collage or draw what they're grateful for, right. Other people 816 00:41:22,360 --> 00:41:24,080 Speaker 4: like to talk, and they might talk to a friend 817 00:41:24,120 --> 00:41:26,440 Speaker 4: about what they're grateful for. Other people like to write, 818 00:41:26,520 --> 00:41:30,399 Speaker 4: you know, and so and so yeah, absolutely, I think 819 00:41:30,440 --> 00:41:35,759 Speaker 4: these strategies all can be kind of customized. Yeah, to 820 00:41:35,760 --> 00:41:38,600 Speaker 4: be like the perfect strategy for that particular person. 821 00:41:38,680 --> 00:41:42,440 Speaker 1: Helped me through a day in the life of a 822 00:41:42,480 --> 00:41:51,399 Speaker 1: person that is cultivating happiness versus somebody who is cultivating 823 00:41:51,600 --> 00:41:54,960 Speaker 1: unhappiness or eroding their own happiness. Like what what what 824 00:41:55,400 --> 00:41:58,360 Speaker 1: is that day in the life look like for those 825 00:41:58,400 --> 00:42:02,560 Speaker 1: people from a daily practice, Like, let's talk about getting 826 00:42:02,640 --> 00:42:04,640 Speaker 1: up in the morning through the day, what are things 827 00:42:04,680 --> 00:42:07,040 Speaker 1: that you could let your throughout the day if you 828 00:42:07,080 --> 00:42:10,960 Speaker 1: want a day in the life of a happy individual? Sure? 829 00:42:10,960 --> 00:42:13,200 Speaker 4: Sure, okay, great question. So this is really what my 830 00:42:13,239 --> 00:42:15,440 Speaker 4: new book, How to Feel Loved is about. It's sort 831 00:42:15,480 --> 00:42:18,160 Speaker 4: of like the key to happiness is feeling loved, so 832 00:42:18,280 --> 00:42:20,719 Speaker 4: whatever or feeling connected that whatever you can. 833 00:42:20,640 --> 00:42:21,319 Speaker 3: Do during the day. 834 00:42:21,320 --> 00:42:24,120 Speaker 4: I already mentioned having conversations, right, whatever you can do 835 00:42:24,239 --> 00:42:27,040 Speaker 4: during the day to feel more loved, but also to 836 00:42:27,080 --> 00:42:30,239 Speaker 4: make the first step is to make other people feel loved. Right, 837 00:42:30,280 --> 00:42:32,600 Speaker 4: So what can I do all throughout the day to 838 00:42:32,640 --> 00:42:33,839 Speaker 4: make other people feel loved? 839 00:42:33,880 --> 00:42:35,480 Speaker 3: And what what's the first step? 840 00:42:35,960 --> 00:42:40,840 Speaker 4: Showing curiosity in other people, right and truly listening to 841 00:42:40,960 --> 00:42:43,359 Speaker 4: other people. That's the first step. And by the way, 842 00:42:43,719 --> 00:42:46,360 Speaker 4: it's not that common. When was the last time that 843 00:42:46,480 --> 00:42:49,919 Speaker 4: someone was so curious in what you had to say 844 00:42:50,000 --> 00:42:52,920 Speaker 4: right in your story that they just couldn't wait for 845 00:42:53,000 --> 00:42:55,839 Speaker 4: you to finish your story? Right there, they're leaning in, right, 846 00:42:55,880 --> 00:42:57,719 Speaker 4: and they're like their eyes were bright. 847 00:42:57,480 --> 00:42:59,279 Speaker 3: Like it is so compelling. 848 00:43:00,080 --> 00:43:02,480 Speaker 4: We all want to be known, right, we want to 849 00:43:02,480 --> 00:43:04,279 Speaker 4: be heard, we want to be seen. And it's not 850 00:43:04,360 --> 00:43:06,000 Speaker 4: I mean, as a podcaster, like you know how to 851 00:43:06,000 --> 00:43:08,359 Speaker 4: show curiosity in others and you can't fake it, by 852 00:43:08,360 --> 00:43:10,400 Speaker 4: the way, like it has to be real curiosity. So 853 00:43:10,719 --> 00:43:12,800 Speaker 4: the first step, this is the day of the someone 854 00:43:13,080 --> 00:43:15,640 Speaker 4: who wants to be happy, who wants to feel loved, 855 00:43:15,640 --> 00:43:19,160 Speaker 4: making other people feel feel loved, show curiosity in other people. 856 00:43:19,480 --> 00:43:22,680 Speaker 4: And then once they start talking, so you ask them questions, right, 857 00:43:22,760 --> 00:43:27,680 Speaker 4: ask them questions, ask them deep questions, I mean, start smart, 858 00:43:27,760 --> 00:43:30,879 Speaker 4: small obviously you know pacing is important. And then when 859 00:43:30,920 --> 00:43:34,719 Speaker 4: they answer, truly listen to them. Right, So what does 860 00:43:34,760 --> 00:43:36,680 Speaker 4: that mean listening? Again, you probably know how to listen. 861 00:43:37,120 --> 00:43:39,160 Speaker 4: Most of us are not good listeners. I'm not a 862 00:43:39,239 --> 00:43:42,399 Speaker 4: very good listener. I'm more of a talker. So most 863 00:43:42,440 --> 00:43:44,320 Speaker 4: of us, what we say in the book How to 864 00:43:44,360 --> 00:43:49,080 Speaker 4: Feel Loved, we mostly listen to respond instead of right, 865 00:43:49,400 --> 00:43:51,040 Speaker 4: we're rehearsing. 866 00:43:50,520 --> 00:43:55,240 Speaker 1: That you're interrupting, right if you're not physically inter exactly. 867 00:43:56,160 --> 00:43:58,759 Speaker 4: So there's a sort of inner chatter in our mind. 868 00:43:58,840 --> 00:44:02,440 Speaker 4: So we're not really listening hundred percent. So we say, 869 00:44:02,680 --> 00:44:05,919 Speaker 4: don't listen to respond, listen to learn, Listen like there's 870 00:44:05,960 --> 00:44:09,080 Speaker 4: going to be a test on it tomorrow, right, so 871 00:44:09,120 --> 00:44:09,720 Speaker 4: we're listening. 872 00:44:09,760 --> 00:44:12,120 Speaker 1: I like that and they and I like the curiosity, 873 00:44:12,239 --> 00:44:15,400 Speaker 1: like to be curious. What's the emotion that this person 874 00:44:15,480 --> 00:44:17,319 Speaker 1: is experiencing right now? 875 00:44:17,520 --> 00:44:19,800 Speaker 3: You know, that sort of stuff exactly, like what is 876 00:44:19,840 --> 00:44:20,600 Speaker 3: their inner life? Actually? 877 00:44:20,600 --> 00:44:22,360 Speaker 4: I was thinking about you know, some people, it's often 878 00:44:22,520 --> 00:44:24,800 Speaker 4: the stereotype is often older people, but it could be anyone. 879 00:44:25,120 --> 00:44:26,920 Speaker 4: And they'll give you all they go on and on 880 00:44:26,960 --> 00:44:29,080 Speaker 4: about their day, right, and they'll tell you about why 881 00:44:29,200 --> 00:44:31,719 Speaker 4: I ran this errand and then this happened, and I 882 00:44:31,920 --> 00:44:35,040 Speaker 4: couldn't find a parking place, and I went on a trip, 883 00:44:35,080 --> 00:44:36,680 Speaker 4: and you know, right, and they're they're giving all these 884 00:44:36,680 --> 00:44:40,160 Speaker 4: details about their life. And often it's boring, right because 885 00:44:40,200 --> 00:44:41,680 Speaker 4: you don't want to hear about all these details. But 886 00:44:41,719 --> 00:44:45,120 Speaker 4: it makes you realize that like we all kind of want, 887 00:44:45,360 --> 00:44:48,680 Speaker 4: like we want other people to know about our inner life, 888 00:44:48,719 --> 00:44:51,560 Speaker 4: about the details of our inner life, and so like 889 00:44:51,600 --> 00:44:53,800 Speaker 4: when you fall in love, often people are very interested 890 00:44:53,800 --> 00:44:55,759 Speaker 4: in every little detail about each other, right, which is 891 00:44:55,800 --> 00:44:59,400 Speaker 4: so compelling, right because usually no one cares about your details. 892 00:45:01,080 --> 00:45:03,080 Speaker 3: They don't want to know that your flight is late, whatever, 893 00:45:03,200 --> 00:45:05,120 Speaker 3: it's not, it's not that interesting. 894 00:45:05,239 --> 00:45:08,240 Speaker 4: But anyway, but if you if you actually show curiosity 895 00:45:08,560 --> 00:45:11,680 Speaker 4: in another person's day, you know, in there, in what 896 00:45:11,719 --> 00:45:14,040 Speaker 4: they're feeling, in what they're thinking, and how things are going, 897 00:45:14,520 --> 00:45:17,000 Speaker 4: that is so compelling. It's very powerful, and that's how 898 00:45:17,040 --> 00:45:19,920 Speaker 4: you make other people feel loved. And then that helps 899 00:45:19,960 --> 00:45:23,160 Speaker 4: them open up and tell you more, tell you more 900 00:45:23,200 --> 00:45:25,239 Speaker 4: about it. Because we all have these walls around us, right, 901 00:45:25,320 --> 00:45:28,120 Speaker 4: So when you have walls around you, you can't really 902 00:45:28,160 --> 00:45:31,200 Speaker 4: feel connected and loved because you're not really showing your 903 00:45:31,560 --> 00:45:34,080 Speaker 4: full self to others. And everyone has walls around us. 904 00:45:35,080 --> 00:45:37,120 Speaker 4: And so anyway we help other people open up, and 905 00:45:37,120 --> 00:45:40,600 Speaker 4: then the idea is then they will reciprocate, because reciprocity 906 00:45:40,760 --> 00:45:43,239 Speaker 4: is a very powerful rule. 907 00:45:43,040 --> 00:45:47,759 Speaker 3: Of social behavior and evolutionarily speaking, too, right, we reciprocate. 908 00:45:47,960 --> 00:45:50,120 Speaker 4: And so if I make you feel loved by showing 909 00:45:50,160 --> 00:45:54,839 Speaker 4: curiosity and listening when you share, hopefully you will reciprocate 910 00:45:54,880 --> 00:45:57,279 Speaker 4: and you will show curiosity in me, and then I'll 911 00:45:57,320 --> 00:45:59,560 Speaker 4: start sharing more of myself, like be a little bit 912 00:45:59,600 --> 00:46:02,719 Speaker 4: more vulner right, And that's how you feel connected, is 913 00:46:02,760 --> 00:46:05,239 Speaker 4: by showing a little bit of that vulnerability. We don't 914 00:46:05,239 --> 00:46:08,000 Speaker 4: feel connected when we're just impressing each other, right, which 915 00:46:08,000 --> 00:46:10,279 Speaker 4: is what mostly we're doing when we go through the day. 916 00:46:10,560 --> 00:46:13,080 Speaker 4: We're mostly trying to impress everyone, right. We want people 917 00:46:13,160 --> 00:46:16,839 Speaker 4: to know that we're kind and interesting and smart and funny. Right, 918 00:46:17,320 --> 00:46:20,360 Speaker 4: So that might succeed at impressing, but it doesn't succeed 919 00:46:20,400 --> 00:46:23,279 Speaker 4: in making us really feel connected, you know, or. 920 00:46:23,440 --> 00:46:24,600 Speaker 2: Yeah, that connection. 921 00:46:25,520 --> 00:46:29,520 Speaker 1: I ran a corporate workshop yesterday for a bunch of 922 00:46:30,320 --> 00:46:34,120 Speaker 1: pretty senior executives and one thing I do that I 923 00:46:34,160 --> 00:46:37,080 Speaker 1: do quite often when I'm working with teams, leadership teams 924 00:46:37,640 --> 00:46:41,239 Speaker 1: is get everybody around in a circle and ask them 925 00:46:41,280 --> 00:46:47,080 Speaker 1: to talk about the most difficult experience of their life emotionally. 926 00:46:47,719 --> 00:46:54,000 Speaker 1: And it's obviously very emotional, but the connection that people 927 00:46:54,160 --> 00:46:59,960 Speaker 1: feel afterwards and how they say that cheese that deeper connection. 928 00:47:01,840 --> 00:47:05,920 Speaker 1: It's just it's tremendous. Particularly, I think when you see 929 00:47:05,960 --> 00:47:11,520 Speaker 1: somebody experiencing a deep emotion and you see other people 930 00:47:11,640 --> 00:47:12,640 Speaker 1: murder that emotion. 931 00:47:13,200 --> 00:47:14,800 Speaker 2: I'm just thinking, are going bango? 932 00:47:16,840 --> 00:47:17,560 Speaker 3: Is that amazing? 933 00:47:17,560 --> 00:47:20,480 Speaker 4: And when you think about like our polarized society, you know, 934 00:47:20,520 --> 00:47:21,399 Speaker 4: and people are just. 935 00:47:21,320 --> 00:47:22,759 Speaker 3: Like hating each other. 936 00:47:23,000 --> 00:47:26,799 Speaker 4: And imagine like really sharing, you know, with someone who 937 00:47:26,840 --> 00:47:29,680 Speaker 4: maybe you really disagree with, but then you see each 938 00:47:29,719 --> 00:47:32,080 Speaker 4: other as human, right, and you have that connection. And 939 00:47:32,480 --> 00:47:35,399 Speaker 4: I'm also curiosity in listening, right, really listening to other 940 00:47:35,440 --> 00:47:36,640 Speaker 4: people and. 941 00:47:36,600 --> 00:47:38,880 Speaker 3: Be curious, like why do you believe in that? 942 00:47:39,000 --> 00:47:41,279 Speaker 4: Or imagine in the middle of an argument with your 943 00:47:41,320 --> 00:47:44,200 Speaker 4: spouse they're really angry at you, and you and you 944 00:47:44,239 --> 00:47:46,440 Speaker 4: and you stop with curiosity and you're like. 945 00:47:46,600 --> 00:47:50,480 Speaker 3: Wow, why are they so angry? That's really interesting? Right, 946 00:47:50,840 --> 00:47:51,960 Speaker 3: So it's hard to do. 947 00:47:52,080 --> 00:47:54,120 Speaker 4: It's hard to do, but I recommend everyone to show 948 00:47:54,160 --> 00:47:57,160 Speaker 4: more curiosity in listening and to share more, you know. 949 00:47:57,200 --> 00:48:00,480 Speaker 1: And anything else that people could do this day in 950 00:48:00,520 --> 00:48:02,759 Speaker 1: the life of a happy. 951 00:48:02,520 --> 00:48:05,640 Speaker 3: Person, right, Well, definitely have conversations. 952 00:48:06,520 --> 00:48:08,600 Speaker 4: Well, here's another thing that I would add, as I 953 00:48:08,640 --> 00:48:12,960 Speaker 4: call this the multiplicity mindset in my book, see people 954 00:48:13,000 --> 00:48:16,799 Speaker 4: as complex, Right, we all have strength and weaknesses. We're 955 00:48:16,840 --> 00:48:20,480 Speaker 4: all like a quilt of positive and negative qualities, right, 956 00:48:20,520 --> 00:48:22,520 Speaker 4: and we know this, but we don't think about it 957 00:48:22,560 --> 00:48:24,200 Speaker 4: that much because we tend to be judgmental. 958 00:48:24,280 --> 00:48:27,400 Speaker 3: Right, So I'm generous at times. 959 00:48:27,200 --> 00:48:30,880 Speaker 4: But you know what, sometimes I'm selfish and sometimes I'm loyal, 960 00:48:31,120 --> 00:48:35,480 Speaker 4: and sometimes I'm narcissistic, and I'll freely acknowledge that. 961 00:48:35,560 --> 00:48:37,440 Speaker 3: And you know what we all are. We all are 962 00:48:37,520 --> 00:48:40,239 Speaker 3: like that's a lot, right, And so when you see 963 00:48:40,280 --> 00:48:41,279 Speaker 3: that in others and. 964 00:48:41,200 --> 00:48:44,160 Speaker 4: In yourself, that you are more forgiving, that you're more 965 00:48:44,200 --> 00:48:48,560 Speaker 4: accepting that you see people in all of their messy complexity, 966 00:48:48,920 --> 00:48:51,560 Speaker 4: And I think that really helps us to feel love, 967 00:48:51,719 --> 00:48:54,919 Speaker 4: to accept others, right, and not just sort of be judgmental. Again, 968 00:48:55,000 --> 00:48:58,120 Speaker 4: evolutionary theory. I think maybe it's served us well to 969 00:48:58,160 --> 00:48:59,959 Speaker 4: be judgmental because we want to know who's our friends. 970 00:49:00,160 --> 00:49:03,279 Speaker 4: Was our faue, right, But yet seeing people in their 971 00:49:03,320 --> 00:49:07,080 Speaker 4: complexity and messiness, I think they're hugely useful. 972 00:49:07,760 --> 00:49:11,359 Speaker 1: I actually think that you know, we we kind of 973 00:49:11,400 --> 00:49:16,080 Speaker 1: are all running a personalized hallucination of reality. 974 00:49:16,360 --> 00:49:16,560 Speaker 2: Right. 975 00:49:17,080 --> 00:49:19,839 Speaker 1: Our brain is just a filter through hard we view 976 00:49:19,880 --> 00:49:25,240 Speaker 1: the world, and all of our experiences, particularly emotional experiences, 977 00:49:25,960 --> 00:49:27,920 Speaker 1: ship that filter and it's unique. 978 00:49:27,960 --> 00:49:30,879 Speaker 2: And when when you when when you kind of get 979 00:49:30,920 --> 00:49:34,759 Speaker 2: to grips with that. You can't not be curious, can you. 980 00:49:35,440 --> 00:49:41,680 Speaker 1: He's like, oh what, Oh, maybe that's why that's fascinating. 981 00:49:43,120 --> 00:49:44,040 Speaker 3: Well, here's an example. 982 00:49:44,320 --> 00:49:46,439 Speaker 4: A friend of mine was telling about a guy who 983 00:49:46,480 --> 00:49:49,239 Speaker 4: said something pretty awful about another friend, a female friend. 984 00:49:49,320 --> 00:49:51,480 Speaker 3: She's like, can you believe this guy said that? She 985 00:49:51,640 --> 00:49:53,480 Speaker 3: showed me the text, and. 986 00:49:53,520 --> 00:49:56,319 Speaker 4: My first reaction was like, oh my god, yeah, horrible, right, 987 00:49:56,800 --> 00:49:59,120 Speaker 4: But my second reaction was really curiosity. 988 00:49:59,160 --> 00:50:02,239 Speaker 3: And it was like and I could see the little boy. 989 00:50:02,080 --> 00:50:05,920 Speaker 4: Inside of him who was maybe rejected when he was 990 00:50:05,960 --> 00:50:10,480 Speaker 4: younger by women and so sure, and so I was like, oh, 991 00:50:10,760 --> 00:50:13,319 Speaker 4: I no, but it doesn't excuse it doesn't condone it, 992 00:50:13,880 --> 00:50:16,959 Speaker 4: it doesn't justify it, but it's really yeah, it really 993 00:50:17,040 --> 00:50:20,160 Speaker 4: helps to see people in that wider legs. 994 00:50:20,200 --> 00:50:22,560 Speaker 2: Yeah, I think was it was it? 995 00:50:23,719 --> 00:50:25,560 Speaker 1: I think it might have been Gandhi said, if you 996 00:50:26,160 --> 00:50:30,080 Speaker 1: if you want to be understood, for seek to understand, right, 997 00:50:30,120 --> 00:50:30,560 Speaker 1: it's just not. 998 00:50:33,000 --> 00:50:34,520 Speaker 4: If you can find that quote, send that to me, 999 00:50:34,560 --> 00:50:38,399 Speaker 4: because that's that's really relevant. You know till by work, 1000 00:50:38,480 --> 00:50:40,440 Speaker 4: you know, and how to feel loved, like if you 1001 00:50:40,440 --> 00:50:42,399 Speaker 4: want to feel loved, first make the other person feel 1002 00:50:42,440 --> 00:50:45,320 Speaker 4: loved if you can, if you can find that guy. 1003 00:50:45,360 --> 00:50:47,360 Speaker 2: I will take it out. I'm pretty sure. I'm pretty 1004 00:50:47,360 --> 00:50:50,920 Speaker 2: sure it was it was Gandhy. So how's your view? 1005 00:50:51,000 --> 00:50:52,759 Speaker 1: So you've read, you've written several books. You've don't know 1006 00:50:52,760 --> 00:50:56,640 Speaker 1: how research on this high has or has it. I'm 1007 00:50:56,680 --> 00:51:01,320 Speaker 1: guessing it has. How has your view of happiness changed 1008 00:51:01,480 --> 00:51:05,680 Speaker 1: over the years, And if it has changed, is it 1009 00:51:05,840 --> 00:51:08,959 Speaker 1: just being subtle or was there something that you dug 1010 00:51:09,000 --> 00:51:11,640 Speaker 1: into that would created a fundamental shift? 1011 00:51:15,040 --> 00:51:16,080 Speaker 3: Not not a huge change. 1012 00:51:16,080 --> 00:51:19,239 Speaker 4: I mean I already mentioned the connection piece has become 1013 00:51:19,320 --> 00:51:20,880 Speaker 4: much more you know, important. 1014 00:51:21,239 --> 00:51:24,080 Speaker 3: I see that as a more important piece. I see 1015 00:51:24,120 --> 00:51:27,400 Speaker 3: the personalization of happiest strategies as a more important piece. 1016 00:51:27,600 --> 00:51:28,680 Speaker 3: And I guess one view. 1017 00:51:28,719 --> 00:51:32,080 Speaker 4: One thing I would say is, I mean research is 1018 00:51:32,080 --> 00:51:34,040 Speaker 4: so important, and I think I like to base my 1019 00:51:34,080 --> 00:51:36,680 Speaker 4: behavior on research when I can. Like, if you're about 1020 00:51:36,719 --> 00:51:38,800 Speaker 4: to have surgery, right, you want to know that surgery 1021 00:51:38,800 --> 00:51:43,400 Speaker 4: A is better on average the surgery B. Right, But 1022 00:51:44,120 --> 00:51:47,160 Speaker 4: it's all about averages, right, So the surgery A versus 1023 00:51:47,200 --> 00:51:49,960 Speaker 4: surgery BE. On average, you know A works better, but 1024 00:51:50,200 --> 00:51:52,640 Speaker 4: maybe for me B is going to work better, right, 1025 00:51:52,680 --> 00:51:55,080 Speaker 4: And although I don't know that. So and same thing 1026 00:51:55,120 --> 00:51:59,400 Speaker 4: with gratitude and kindness and even conversations that you know, 1027 00:51:59,840 --> 00:52:00,440 Speaker 4: just remember. 1028 00:52:00,480 --> 00:52:02,440 Speaker 3: I guess that's one one thing that I've changed my 1029 00:52:02,440 --> 00:52:03,200 Speaker 3: mind about sort of. 1030 00:52:03,239 --> 00:52:07,480 Speaker 4: Remember the research findings are about averages, and usually that's 1031 00:52:07,719 --> 00:52:11,759 Speaker 4: that's very significant and you should follow them. But sometimes 1032 00:52:11,840 --> 00:52:14,839 Speaker 4: you know that average doesn't apply to you because well, 1033 00:52:14,840 --> 00:52:17,480 Speaker 4: we all think that we're not we're not averaged. 1034 00:52:17,840 --> 00:52:21,000 Speaker 1: I think that's that's hugely important. I remember doing my 1035 00:52:21,040 --> 00:52:24,400 Speaker 1: first Masters thirty odd years ago. It was in exercise science, 1036 00:52:24,440 --> 00:52:29,040 Speaker 1: and we were getting people to run to exhaustion on 1037 00:52:29,320 --> 00:52:32,959 Speaker 1: either a low glycemic index carbohydrate diet or a high 1038 00:52:32,960 --> 00:52:39,239 Speaker 1: glycemic index carbohydrate diet. And the researched, on average, they 1039 00:52:39,280 --> 00:52:41,920 Speaker 1: did better on log glycemic when it was distant, but 1040 00:52:42,280 --> 00:52:47,080 Speaker 1: some people were completely polar opposites. And I don't think 1041 00:52:47,120 --> 00:52:50,279 Speaker 1: that's presented enough in the research. You know, you see 1042 00:52:50,320 --> 00:52:54,759 Speaker 1: the averages, but it's like, what's the individual variation behind it, 1043 00:52:54,800 --> 00:52:58,400 Speaker 1: because it can be huge kind and the opposite or. 1044 00:52:58,440 --> 00:53:02,320 Speaker 4: Like, right, salt is associated with high blood pressure and 1045 00:53:02,440 --> 00:53:05,160 Speaker 4: many people, but for lots of people it have absolutely 1046 00:53:05,160 --> 00:53:07,960 Speaker 4: no impact on their blood pressure. Yeah, so yeah, I 1047 00:53:08,000 --> 00:53:09,319 Speaker 4: think it's good to keep that in mind. 1048 00:53:09,360 --> 00:53:10,280 Speaker 3: If I know nothing. 1049 00:53:10,400 --> 00:53:12,640 Speaker 4: I'm still going to look at the average effect, right, 1050 00:53:13,680 --> 00:53:15,920 Speaker 4: that's still very useful in research. And by the way, 1051 00:53:16,120 --> 00:53:18,279 Speaker 4: the more research we do, the more we can look 1052 00:53:18,280 --> 00:53:20,760 Speaker 4: at what are called moderators, right, which are these like. 1053 00:53:21,239 --> 00:53:23,480 Speaker 3: On average, writing gratitude letters. 1054 00:53:23,200 --> 00:53:25,680 Speaker 4: Works better, but if you're an extrovert, or if you're 1055 00:53:25,719 --> 00:53:29,040 Speaker 4: a young female, you know, maybe it works better in 1056 00:53:29,080 --> 00:53:32,440 Speaker 4: this condition. Right, So we're learning more and more, you know, 1057 00:53:32,520 --> 00:53:32,879 Speaker 4: with more. 1058 00:53:33,160 --> 00:53:37,480 Speaker 1: If you had a bottomless pit of money and resources 1059 00:53:38,280 --> 00:53:43,120 Speaker 1: to conduct the ultimate experiment on happiness, have you thought 1060 00:53:43,120 --> 00:53:44,239 Speaker 1: about what that would look like? 1061 00:53:46,000 --> 00:53:48,040 Speaker 4: Yes, And it's actually going on right now, or we're 1062 00:53:48,120 --> 00:53:51,040 Speaker 4: starting it's called the Happiest Mega Study, and we're basically 1063 00:53:51,120 --> 00:53:56,400 Speaker 4: testing all the interventions like meditation, like gratitude, like kindness, 1064 00:53:56,920 --> 00:53:59,920 Speaker 4: that we think are the most powerful interventions from research. 1065 00:54:00,239 --> 00:54:04,200 Speaker 4: We're testing them among many, many, many people across many 1066 00:54:04,239 --> 00:54:05,800 Speaker 4: many cultures and countries. 1067 00:54:06,560 --> 00:54:09,120 Speaker 3: And we actually need money to run that study. 1068 00:54:09,120 --> 00:54:11,440 Speaker 4: And so that's really what we need to do, is 1069 00:54:11,440 --> 00:54:14,640 Speaker 4: to kind of replicate and see where you know, maybe 1070 00:54:14,680 --> 00:54:15,759 Speaker 4: the effects are going to own. 1071 00:54:15,840 --> 00:54:16,960 Speaker 3: Maybe they're going to be. 1072 00:54:16,960 --> 00:54:19,120 Speaker 4: Higher in this country but not this country, right, or 1073 00:54:19,160 --> 00:54:21,719 Speaker 4: with men but not women. And we need to have 1074 00:54:21,760 --> 00:54:23,160 Speaker 4: all huge sample. 1075 00:54:22,840 --> 00:54:25,239 Speaker 3: Sizes, So that's what that's what I would do. So 1076 00:54:25,960 --> 00:54:27,080 Speaker 3: find us a bucket of value. 1077 00:54:27,320 --> 00:54:29,719 Speaker 1: Are you crowdfunding it or are you just trying to 1078 00:54:29,719 --> 00:54:30,759 Speaker 1: get well? 1079 00:54:30,800 --> 00:54:32,440 Speaker 3: I think you know I'm not. I'm not running it. 1080 00:54:32,480 --> 00:54:33,160 Speaker 3: I'm part of it. 1081 00:54:33,920 --> 00:54:36,840 Speaker 4: I think they're using all kinds of strategies but to 1082 00:54:37,239 --> 00:54:39,440 Speaker 4: find Yeah, but crowdfunding I think is. 1083 00:54:39,480 --> 00:54:41,800 Speaker 1: H Yeah, because a lot of people interested. 1084 00:54:41,920 --> 00:54:42,799 Speaker 2: Is that right? 1085 00:54:43,280 --> 00:54:47,560 Speaker 1: So so what's your what's your hope plans for the 1086 00:54:47,600 --> 00:54:50,000 Speaker 1: future in terms of research other than this study? 1087 00:54:50,080 --> 00:54:52,359 Speaker 2: Like what what what gets you excited? I know, I 1088 00:54:52,400 --> 00:54:54,120 Speaker 2: know you've got to go in in a minute. 1089 00:54:54,120 --> 00:54:56,719 Speaker 1: So maybe that's our last question about what do you 1090 00:54:56,760 --> 00:54:59,160 Speaker 1: get excited about in this area? 1091 00:55:00,160 --> 00:55:03,200 Speaker 4: Well, yeah, again, I think doing that giant study I 1092 00:55:03,200 --> 00:55:04,440 Speaker 4: think is extremely exciting. 1093 00:55:04,600 --> 00:55:06,120 Speaker 3: I really want to know what the answer is. 1094 00:55:07,320 --> 00:55:10,120 Speaker 4: But really, as I said, I'm most excited right now 1095 00:55:10,160 --> 00:55:15,879 Speaker 4: about studying conversations and what makes conversations go well. And 1096 00:55:15,960 --> 00:55:18,120 Speaker 4: that's that has a lot of implications as I said, 1097 00:55:18,120 --> 00:55:21,319 Speaker 4: for polarization, but also for people who are lonely, right, 1098 00:55:22,200 --> 00:55:24,239 Speaker 4: and how do we help people who are lonely be 1099 00:55:24,360 --> 00:55:27,080 Speaker 4: less lowly, which is really difficult challenge, you know, a 1100 00:55:27,080 --> 00:55:31,960 Speaker 4: lot of people tried and failed, so so yeah, we'll see, 1101 00:55:32,000 --> 00:55:33,040 Speaker 4: We'll see where we get there. 1102 00:55:32,960 --> 00:55:35,880 Speaker 1: Sonia, this this has been awesome, a turtive force of 1103 00:55:35,920 --> 00:55:36,920 Speaker 1: happiness research. 1104 00:55:37,160 --> 00:55:37,799 Speaker 2: So where can. 1105 00:55:37,719 --> 00:55:40,239 Speaker 1: People go to find out more about you, to buy 1106 00:55:40,280 --> 00:55:42,080 Speaker 1: your books, to sign up to your newsletter? 1107 00:55:43,040 --> 00:55:44,600 Speaker 2: On what other resources? 1108 00:55:45,600 --> 00:55:45,920 Speaker 1: Great? 1109 00:55:46,280 --> 00:55:49,160 Speaker 3: I think there's to two websites. 1110 00:55:49,200 --> 00:55:51,320 Speaker 4: How to Feel Loved dot com is the easiest to 1111 00:55:51,360 --> 00:55:53,600 Speaker 4: remember how to feel and if you can tell your 1112 00:55:53,600 --> 00:55:57,279 Speaker 4: listeners how to feel loved dot com. And then my 1113 00:55:57,880 --> 00:56:01,359 Speaker 4: website also has the newsletters which is ONNYO Lubumirski dot com. 1114 00:56:01,400 --> 00:56:02,240 Speaker 3: Just harder to spell. 1115 00:56:02,520 --> 00:56:06,960 Speaker 4: But you know, if people google Sonya with a j happiness, 1116 00:56:07,560 --> 00:56:08,680 Speaker 4: they should be able to find me. 1117 00:56:08,920 --> 00:56:12,359 Speaker 1: So we put all those links into the show notes 1118 00:56:12,400 --> 00:56:13,879 Speaker 1: so people can can actually find them. 1119 00:56:13,920 --> 00:56:15,239 Speaker 2: So I know you've got a run. 1120 00:56:15,640 --> 00:56:18,160 Speaker 1: Thank you for your time, Thank you for your expertise 1121 00:56:18,160 --> 00:56:20,000 Speaker 1: and your life's work on behalf. 1122 00:56:19,640 --> 00:56:21,799 Speaker 2: Of the world because it's important. Ship. 1123 00:56:22,360 --> 00:56:24,920 Speaker 3: Thank you, Thank you for your really great questions. I 1124 00:56:25,320 --> 00:56:26,520 Speaker 3: loved answering. 1125 00:56:26,280 --> 00:56:28,239 Speaker 4: Because I often get the same questions over and over again, 1126 00:56:28,280 --> 00:56:30,280 Speaker 4: but these are really interesting questions. 1127 00:56:30,280 --> 00:56:40,239 Speaker 3: So pleasure to be here. Have a great thank you