1 00:00:00,320 --> 00:00:02,960 Speaker 1: Brought to you by the reinvented two thousand twelve Camray. 2 00:00:03,240 --> 00:00:10,000 Speaker 1: It's ready. Are you welcome to stuff mom never told you? 3 00:00:10,200 --> 00:00:18,160 Speaker 1: From House Towards dot Com. Hey, and welcome to the podcast. 4 00:00:18,200 --> 00:00:21,040 Speaker 1: This is Molly and I'm Kristin and Kristin they we're 5 00:00:21,040 --> 00:00:22,840 Speaker 1: gonna talk about happiness. So I wanted to stay in 6 00:00:22,880 --> 00:00:24,920 Speaker 1: a good mood. But I do have a small confession 7 00:00:24,960 --> 00:00:29,600 Speaker 1: to make to you. Okay, sometimes when I am in 8 00:00:29,680 --> 00:00:31,720 Speaker 1: the vicinity of your home, which I know where it is, 9 00:00:31,760 --> 00:00:33,760 Speaker 1: but I won't stay on the podcast. Thank you, Molly. 10 00:00:34,400 --> 00:00:38,280 Speaker 1: I'm compelled to like Robert, to like Robert and to 11 00:00:38,440 --> 00:00:40,919 Speaker 1: rob your house. There's one thing that I would want 12 00:00:41,040 --> 00:00:43,360 Speaker 1: to take from your house if I could. I think 13 00:00:43,400 --> 00:00:45,000 Speaker 1: I know what that is, Molly, because the last time 14 00:00:45,000 --> 00:00:47,559 Speaker 1: you were at my house you tried to steal it. Yeah. 15 00:00:48,159 --> 00:00:50,400 Speaker 1: It's this year book picture of Kristen. It's the most 16 00:00:50,400 --> 00:00:54,000 Speaker 1: adorable photo ever because I was an adorable child. But 17 00:00:54,240 --> 00:00:58,520 Speaker 1: she's wasn't third grade, no, Molly, that was thin. That 18 00:00:58,640 --> 00:01:03,840 Speaker 1: was um K four. Okay, so she's around that age. 19 00:01:03,880 --> 00:01:06,080 Speaker 1: She's young and cute, and she just got the biggest 20 00:01:06,400 --> 00:01:09,399 Speaker 1: screen you could possibly imagine. Yeah, I was really proud 21 00:01:09,400 --> 00:01:12,640 Speaker 1: of myself at that phase because I just lost both 22 00:01:12,680 --> 00:01:16,040 Speaker 1: my front teeth, and I had a rock and mullet, 23 00:01:17,000 --> 00:01:19,880 Speaker 1: and I was wearing my favorite T shirt dress if 24 00:01:19,959 --> 00:01:23,840 Speaker 1: my mom had made me with matching bow, and that 25 00:01:23,880 --> 00:01:28,959 Speaker 1: picture was taken right after playtime as well, so I 26 00:01:28,959 --> 00:01:30,240 Speaker 1: I was just as happy as it could be. A 27 00:01:30,360 --> 00:01:33,319 Speaker 1: rainy to go. Yeah, it's it's the kind of photo 28 00:01:33,360 --> 00:01:35,319 Speaker 1: that I would want to, like try and sell to 29 00:01:35,480 --> 00:01:37,720 Speaker 1: an photo agency because they could use it as the 30 00:01:37,760 --> 00:01:42,320 Speaker 1: stereotypical happy child. Whereas my yearbook photos, the smiles a 31 00:01:42,360 --> 00:01:44,880 Speaker 1: little bit more forced. I'm usually caught off guard by 32 00:01:44,880 --> 00:01:50,320 Speaker 1: the photographer. It's doesn't capture my true happy essence. Well, Molly, um, 33 00:01:50,640 --> 00:01:55,760 Speaker 1: researchers have been doing a lot of investigation into how 34 00:01:55,840 --> 00:01:59,800 Speaker 1: much your smile reflects authentic happiness. Did you know, because 35 00:02:00,200 --> 00:02:04,200 Speaker 1: right now the science of happiness is exploding. It started 36 00:02:04,200 --> 00:02:06,920 Speaker 1: back in the nineteen nineties with a guy named Martin Seligmann, 37 00:02:07,000 --> 00:02:10,760 Speaker 1: who is the former president of the American Psychological Association, 38 00:02:11,200 --> 00:02:14,760 Speaker 1: and he decided that instead of figuring out why people 39 00:02:14,919 --> 00:02:18,400 Speaker 1: become depressed and looking so much at these negative emotions, 40 00:02:18,440 --> 00:02:21,840 Speaker 1: why not find out more about happiness and what makes 41 00:02:21,880 --> 00:02:25,080 Speaker 1: us happy and what are the what are the characteristics 42 00:02:25,200 --> 00:02:29,079 Speaker 1: shared among the happiest people. So we have this new branch, 43 00:02:29,160 --> 00:02:33,320 Speaker 1: relatively new branch of psychology called positive psychology that really 44 00:02:33,360 --> 00:02:37,760 Speaker 1: focuses on the science of happiness. Um. And they pay 45 00:02:37,800 --> 00:02:39,800 Speaker 1: a lot of attention to smiles. You've run across some 46 00:02:39,800 --> 00:02:41,799 Speaker 1: of these studies, right, Molly. Yeah. I found this study 47 00:02:41,880 --> 00:02:44,200 Speaker 1: recently about you know, they basically go back to these 48 00:02:44,240 --> 00:02:46,320 Speaker 1: yearbook They're going to go back and look at adorable 49 00:02:46,320 --> 00:02:51,000 Speaker 1: little Kristen and semi for smiling little Molly, and they 50 00:02:51,080 --> 00:02:52,760 Speaker 1: might look at us in like twenty years and see 51 00:02:52,760 --> 00:02:54,959 Speaker 1: if we're still married. They're saying that, you know, your 52 00:02:54,960 --> 00:02:57,480 Speaker 1: marriage can predict your I mean, your smile can predict 53 00:02:57,480 --> 00:03:00,239 Speaker 1: your marital success, which is a lot of eight to 54 00:03:00,240 --> 00:03:01,959 Speaker 1: put on like a five year old child. I really 55 00:03:01,960 --> 00:03:04,639 Speaker 1: hope one day to say to my kid, better smile 56 00:03:04,680 --> 00:03:09,440 Speaker 1: or you're getting divorced. That's life lesson there, Molly, that 57 00:03:09,760 --> 00:03:13,120 Speaker 1: you'll impart to your children. Um. Yeah. Speaking of these 58 00:03:13,200 --> 00:03:15,840 Speaker 1: smile studies, there was there was one that I found 59 00:03:15,840 --> 00:03:18,680 Speaker 1: that tracked a hundred and forty one high school seniors 60 00:03:18,720 --> 00:03:21,560 Speaker 1: into middle age. And I think these were all uh, 61 00:03:21,720 --> 00:03:26,519 Speaker 1: female students, and they characterized the smiles and the photographs 62 00:03:26,600 --> 00:03:29,720 Speaker 1: is either do Shane smiles which are caused by more 63 00:03:29,800 --> 00:03:34,639 Speaker 1: muscle contractions and reflect authentic joy supposedly like Kristen's photo, 64 00:03:34,800 --> 00:03:38,440 Speaker 1: like my photo, I was just a Douchhane child, um, 65 00:03:38,520 --> 00:03:41,800 Speaker 1: whereas Molly probably had more of a Pan American smile, 66 00:03:41,840 --> 00:03:45,480 Speaker 1: which is a little more rigid and pose, not little forced, 67 00:03:46,120 --> 00:03:49,400 Speaker 1: little forced Molly so um. In the study they found 68 00:03:49,440 --> 00:03:52,560 Speaker 1: that down the road, the study found that the dou 69 00:03:52,680 --> 00:03:57,080 Speaker 1: Shane smilers reported more of life satisfaction and had more 70 00:03:57,360 --> 00:04:01,800 Speaker 1: marital relationship success than the Pan American smiles, which I say, 71 00:04:01,840 --> 00:04:04,040 Speaker 1: take it or leave it. I mean, you know that's 72 00:04:04,680 --> 00:04:08,360 Speaker 1: you can read your book. Photo really really predict that much. Well, 73 00:04:08,360 --> 00:04:10,920 Speaker 1: that's the thing about studying happiness in general is it's 74 00:04:10,960 --> 00:04:13,840 Speaker 1: so subjective. You know. The best they can say is that, 75 00:04:13,880 --> 00:04:16,040 Speaker 1: you know, if you smile authentically when you're a child, 76 00:04:16,040 --> 00:04:18,279 Speaker 1: it just means that you might be a happier person overall, 77 00:04:18,800 --> 00:04:21,159 Speaker 1: which means that once you get married, you might be 78 00:04:21,240 --> 00:04:24,719 Speaker 1: more willing to work it out, have a positive outlook 79 00:04:24,760 --> 00:04:26,920 Speaker 1: on your marriage. So it's it's a lot of sort 80 00:04:26,920 --> 00:04:30,559 Speaker 1: of gross generalizations. In my opinion. But you can't deny 81 00:04:30,640 --> 00:04:33,000 Speaker 1: that everyone's studying happiness. Who can get a grant to 82 00:04:33,040 --> 00:04:36,719 Speaker 1: do so. They're studying whether certain cultures are happier, whether 83 00:04:37,200 --> 00:04:39,240 Speaker 1: you know, certain ages are happier. And of course this 84 00:04:39,320 --> 00:04:41,120 Speaker 1: comes down to one of the biggest differences of all 85 00:04:41,160 --> 00:04:43,520 Speaker 1: and that's why we're going to discuss it today. Are 86 00:04:43,680 --> 00:04:47,800 Speaker 1: men or women happier? And Uh, there were a lot 87 00:04:47,839 --> 00:04:50,320 Speaker 1: of large scale happiness studies that have been going on, 88 00:04:50,360 --> 00:04:54,960 Speaker 1: like you mentioned global studies. UH. For instance, Um, there's 89 00:04:55,080 --> 00:04:57,680 Speaker 1: this thing called the UH I think it's the World 90 00:04:57,680 --> 00:05:01,279 Speaker 1: Happiness Map that has mapped out happiest places in the world. 91 00:05:01,279 --> 00:05:04,800 Speaker 1: Denmark is is number one. I don't know why, but 92 00:05:04,960 --> 00:05:07,279 Speaker 1: they are. So maybe I'm gonna go to Denmark for 93 00:05:07,320 --> 00:05:10,480 Speaker 1: my next vacation. Um. And they've broken down these all 94 00:05:10,560 --> 00:05:16,520 Speaker 1: this data into male and female trends. And overall, in 95 00:05:16,560 --> 00:05:18,880 Speaker 1: a lot of these large scale surveys, as a group, 96 00:05:19,560 --> 00:05:22,599 Speaker 1: women come out on top a little bit, a little 97 00:05:22,640 --> 00:05:25,520 Speaker 1: bit more happy. Yeah. Um. And this is based on 98 00:05:26,320 --> 00:05:30,599 Speaker 1: the Pew Global Attitudes Project that surveyed thousand men and 99 00:05:30,600 --> 00:05:34,760 Speaker 1: women across forty four countries and the Nielsen Happiness Survey 100 00:05:34,800 --> 00:05:38,000 Speaker 1: that was conducted in fifty one countries, but mollly once 101 00:05:38,040 --> 00:05:41,720 Speaker 1: we start breaking those groups down into different age groups 102 00:05:41,720 --> 00:05:47,280 Speaker 1: and different nationalities, some differences do emerge. Correct right, women 103 00:05:47,320 --> 00:05:52,040 Speaker 1: from certain countries, including kind of surprisingly to US, Pakistan, Japan, 104 00:05:52,080 --> 00:05:55,000 Speaker 1: and Argentina are much much happier than the men living there. 105 00:05:55,880 --> 00:06:00,080 Speaker 1: It seems like the women in these surveys tended to 106 00:06:00,480 --> 00:06:05,680 Speaker 1: focus more on personal and domestic issues that they might 107 00:06:05,720 --> 00:06:09,280 Speaker 1: have more control over. Right where they're saying, the men 108 00:06:09,400 --> 00:06:11,440 Speaker 1: are just burdened by the weight of the world, and 109 00:06:11,440 --> 00:06:13,920 Speaker 1: they look out and there's you know, their a wars, 110 00:06:14,000 --> 00:06:16,400 Speaker 1: there's a recession, and that weighs more heavily on the men, 111 00:06:16,839 --> 00:06:20,760 Speaker 1: whereas women are just worried about grocery shopping. But see then, 112 00:06:20,800 --> 00:06:22,680 Speaker 1: once you kind of flip that and take these sort 113 00:06:22,720 --> 00:06:25,159 Speaker 1: of ideas about what men and women are preoccupied with 114 00:06:25,160 --> 00:06:28,359 Speaker 1: and take it to the United States, that's where the 115 00:06:28,400 --> 00:06:31,680 Speaker 1: women don't hold up quite as well. University of Pennsylvania 116 00:06:32,040 --> 00:06:35,080 Speaker 1: researchers in two thousand and eight found that American women 117 00:06:35,160 --> 00:06:38,599 Speaker 1: today aren't as happy as they were thirty years ago. 118 00:06:38,680 --> 00:06:40,480 Speaker 1: And this is kind of surprising when you look at 119 00:06:40,960 --> 00:06:44,800 Speaker 1: happiness data for Americans in general, because We've been doing 120 00:06:44,800 --> 00:06:48,520 Speaker 1: these kind of surveys since about nineteen seventy nineteen seventy two, 121 00:06:48,960 --> 00:06:53,240 Speaker 1: and Americans happiness level has been just pretty much flat line. 122 00:06:53,360 --> 00:06:56,320 Speaker 1: We haven't We're about as happy as we were thirty 123 00:06:56,400 --> 00:07:01,080 Speaker 1: years ago, supposedly, but women aren't as doing quite as well. 124 00:07:01,240 --> 00:07:03,400 Speaker 1: And like you said, it's it's pretty surprising because think 125 00:07:03,400 --> 00:07:05,080 Speaker 1: of all the things that women have accomplished in the 126 00:07:05,080 --> 00:07:06,640 Speaker 1: past thirty years. You know, we've got a lot more 127 00:07:06,640 --> 00:07:09,720 Speaker 1: women in the workplace, which seems to indicate that women 128 00:07:09,760 --> 00:07:12,520 Speaker 1: have more license to sort of follow their dreams, have 129 00:07:12,600 --> 00:07:15,320 Speaker 1: a career beyond equal footing with men that you know, 130 00:07:15,320 --> 00:07:18,120 Speaker 1: they're not just sitting at home raising children. Uh. And 131 00:07:18,160 --> 00:07:20,600 Speaker 1: so some you know, in my mind kind of snotty 132 00:07:20,640 --> 00:07:24,640 Speaker 1: researchers are saying, you know, those fifty stereotypical housewives didn't 133 00:07:24,640 --> 00:07:26,840 Speaker 1: know what they're missing. They were kind of blindly happy, 134 00:07:27,040 --> 00:07:28,760 Speaker 1: and now that women are getting out in the workforce 135 00:07:29,360 --> 00:07:32,040 Speaker 1: and having dreams come true or not come true, they're 136 00:07:32,040 --> 00:07:35,120 Speaker 1: they're less happy. Basically, Yeah, the horizons are broadened, so 137 00:07:35,200 --> 00:07:37,800 Speaker 1: you have more of an idea of what you don't 138 00:07:37,840 --> 00:07:40,600 Speaker 1: have right than you know, a more limited sphere of 139 00:07:40,600 --> 00:07:45,600 Speaker 1: things that you can control. The University of Pennsylvania researchers 140 00:07:45,640 --> 00:07:50,480 Speaker 1: equated this shift in mood or happiness of women American 141 00:07:50,520 --> 00:07:53,720 Speaker 1: women UM to a nation that has gone from a 142 00:07:53,760 --> 00:07:57,480 Speaker 1: four percent to twelve point five percent unemployment rate. It's 143 00:07:57,560 --> 00:08:01,560 Speaker 1: that same kind of drop morale, and it's not just 144 00:08:01,720 --> 00:08:05,640 Speaker 1: you know, the University of Pennsylvania. Maybe they're just you know, unhappy, 145 00:08:05,720 --> 00:08:07,640 Speaker 1: But they found the same thing at Princeton, so maybe 146 00:08:07,680 --> 00:08:10,280 Speaker 1: the whole Northeast is unhappy. But basically, what Princeton did 147 00:08:10,880 --> 00:08:15,200 Speaker 1: was they looked at common activities like gardening and watching television, 148 00:08:15,200 --> 00:08:19,320 Speaker 1: things that should make you happy, um, versus things that 149 00:08:19,440 --> 00:08:21,960 Speaker 1: you just sort of have to do, like paying bills, 150 00:08:22,160 --> 00:08:25,280 Speaker 1: household chores, and it seemed that women were spending more 151 00:08:25,320 --> 00:08:28,840 Speaker 1: time on the ungratifying task, about ninety more minutes than 152 00:08:28,920 --> 00:08:33,079 Speaker 1: men on average. So some researchers say that this might 153 00:08:33,120 --> 00:08:35,520 Speaker 1: reflect more still, the second shift idea that women have 154 00:08:35,600 --> 00:08:38,199 Speaker 1: to work that's very gratifying to them. They go off 155 00:08:38,200 --> 00:08:39,560 Speaker 1: to work, they might be happy with that, but then 156 00:08:39,559 --> 00:08:41,520 Speaker 1: they've got to come home and have this second job 157 00:08:41,920 --> 00:08:44,200 Speaker 1: taking care of the house, whereas men have been able 158 00:08:44,240 --> 00:08:47,640 Speaker 1: to sort of just stay with the same level of housework, job, 159 00:08:48,320 --> 00:08:50,760 Speaker 1: sitting in from the television, and mollly if you if 160 00:08:50,760 --> 00:08:55,000 Speaker 1: you look at this research broken out into the different 161 00:08:55,000 --> 00:08:57,079 Speaker 1: activities that men and women are doing. I think it 162 00:08:57,160 --> 00:09:01,200 Speaker 1: also reflects the impact of the aging humor population. A 163 00:09:01,200 --> 00:09:04,160 Speaker 1: lot of these women are now having to not only 164 00:09:04,200 --> 00:09:06,720 Speaker 1: come home and possibly care for children, but they're also 165 00:09:06,800 --> 00:09:09,839 Speaker 1: having to care for aging parents. There is a pretty 166 00:09:09,840 --> 00:09:13,959 Speaker 1: stark contrast between the enjoyment level of from between men 167 00:09:13,960 --> 00:09:17,880 Speaker 1: and women of having spending time with their parents. Percent 168 00:09:18,040 --> 00:09:21,760 Speaker 1: of women found time with parents as being more burdensome 169 00:09:21,800 --> 00:09:24,200 Speaker 1: and more of a chore, whereas when the seven percent 170 00:09:24,240 --> 00:09:27,400 Speaker 1: of men found it to be enjoyable. Unenjoyable in this 171 00:09:27,800 --> 00:09:29,960 Speaker 1: in this survey because they're less likely to be the 172 00:09:30,000 --> 00:09:33,040 Speaker 1: main caregiver so they can go over watch television, hang out, 173 00:09:33,080 --> 00:09:35,080 Speaker 1: Whereas if a woman goes over, she might be more 174 00:09:35,120 --> 00:09:37,520 Speaker 1: likely to be paying all their bills, um, you know, 175 00:09:37,600 --> 00:09:40,520 Speaker 1: arranging medications for the week. And so what this research 176 00:09:40,800 --> 00:09:43,000 Speaker 1: really kind of indicates is that women have a lot 177 00:09:43,040 --> 00:09:45,480 Speaker 1: more staff to juggle, a lot more like, yes, they 178 00:09:45,480 --> 00:09:47,920 Speaker 1: have this new career that might be fulfilling, but it's 179 00:09:48,040 --> 00:09:49,960 Speaker 1: a ball in the air with all these other balls 180 00:09:49,960 --> 00:09:55,400 Speaker 1: exactly um, and when you break down specific age groups 181 00:09:55,440 --> 00:09:59,320 Speaker 1: of women, there is yet another interesting trend that emerges 182 00:09:59,320 --> 00:10:02,080 Speaker 1: because at for ears, when we're younger and Molly, you 183 00:10:02,080 --> 00:10:04,160 Speaker 1: and I are in our mid twenties right now, if 184 00:10:04,480 --> 00:10:06,360 Speaker 1: we average it all out, we are going to be 185 00:10:06,679 --> 00:10:11,959 Speaker 1: probably happier than men at this age. And hooray, hooray, yeah, 186 00:10:12,080 --> 00:10:14,760 Speaker 1: which I mean it's a pretty generalized statement, but the 187 00:10:14,840 --> 00:10:19,000 Speaker 1: thinking behind that is women are more apt in their 188 00:10:19,000 --> 00:10:22,040 Speaker 1: younger years to get things that they'll find more fulfilling, 189 00:10:22,160 --> 00:10:26,400 Speaker 1: such as, you know, finding mate and settling down, starting 190 00:10:26,400 --> 00:10:29,360 Speaker 1: a family, building a home, whereas men are at the 191 00:10:29,400 --> 00:10:32,920 Speaker 1: bottom of their career ladders and having to slowly, painfully 192 00:10:33,000 --> 00:10:35,440 Speaker 1: climb up it and try to make more and more money. 193 00:10:35,440 --> 00:10:37,240 Speaker 1: Which I don't know that I buy that completely, but 194 00:10:37,320 --> 00:10:40,640 Speaker 1: that is the general logic behind it. But there's a 195 00:10:40,679 --> 00:10:45,360 Speaker 1: study in the Journal of Happiness Studies that established forty 196 00:10:45,400 --> 00:10:48,720 Speaker 1: eight at the age of forty eight when men's happiness 197 00:10:49,160 --> 00:10:53,120 Speaker 1: actually starts to overtake women's happiness. And so while women 198 00:10:53,160 --> 00:10:55,880 Speaker 1: are on this downward slope, the men and then the 199 00:10:55,920 --> 00:11:00,319 Speaker 1: meantime have gotten into management positions. Life is just gonna 200 00:11:00,360 --> 00:11:03,679 Speaker 1: long And then to even add to their happiness at 201 00:11:03,679 --> 00:11:07,160 Speaker 1: age sixty four, men appreciate their families even more than women. Yeah, 202 00:11:07,200 --> 00:11:09,439 Speaker 1: it's like they're finally at the top of their careers. 203 00:11:09,480 --> 00:11:11,640 Speaker 1: They can kind of kick back. Hopefully they've saved up 204 00:11:11,640 --> 00:11:15,080 Speaker 1: for retirement and now they can really start looking around 205 00:11:15,120 --> 00:11:18,640 Speaker 1: them and saying, hey, look at my beautiful family, look 206 00:11:18,640 --> 00:11:22,080 Speaker 1: at maybe my young, adorable grandchildren. This is so great. 207 00:11:22,520 --> 00:11:27,880 Speaker 1: And women are still supposedly grappling with uh you know, identity. Yeah, 208 00:11:27,960 --> 00:11:35,079 Speaker 1: unfulfilled dreams and identity. Uh thanks researchers. Yeah, but but Molly, 209 00:11:35,600 --> 00:11:38,720 Speaker 1: it's not all bad. Tell me why. Well, okay, first 210 00:11:38,760 --> 00:11:41,000 Speaker 1: of all, all these happiness surveys, I mean, it's just 211 00:11:41,920 --> 00:11:45,320 Speaker 1: you're gonna find conflicting results in them, such as a 212 00:11:45,360 --> 00:11:49,040 Speaker 1: two thousand eight University College of London survey found that 213 00:11:49,080 --> 00:11:53,360 Speaker 1: women over fifty years old we're more optimistic than their 214 00:11:53,360 --> 00:11:55,720 Speaker 1: male counterparts. So it might depend where you live. Yeah, 215 00:11:55,720 --> 00:11:58,160 Speaker 1: it could be geography. Maybe it's just the American dream 216 00:11:58,200 --> 00:12:01,600 Speaker 1: ain't so cheerful after all for the ladies. Dark Kristen, 217 00:12:02,640 --> 00:12:04,840 Speaker 1: But I know you like darkness because you like the 218 00:12:04,880 --> 00:12:07,679 Speaker 1: idea of anti happiness, right, I do a little bit. 219 00:12:07,679 --> 00:12:11,920 Speaker 1: There's this whole idea of positive, positive psychology and searching 220 00:12:11,920 --> 00:12:15,480 Speaker 1: for the new science of happiness has kind of been 221 00:12:15,559 --> 00:12:19,160 Speaker 1: overblown so much that there's now this kind of backlash 222 00:12:19,440 --> 00:12:23,280 Speaker 1: of anti happiness literature that's coming out and saying, hey, Okay, 223 00:12:23,360 --> 00:12:25,240 Speaker 1: we all want to be happy, and that's fine, well 224 00:12:25,280 --> 00:12:28,200 Speaker 1: and good, but let's not forget that sometimes the best 225 00:12:28,240 --> 00:12:31,960 Speaker 1: times in life are met because you've overcome a struggle, 226 00:12:32,080 --> 00:12:36,079 Speaker 1: and like, there can be definite value in having to 227 00:12:36,240 --> 00:12:41,880 Speaker 1: overcome hardships in life that make things really worth living 228 00:12:41,920 --> 00:12:47,000 Speaker 1: and really genuinely joyful. So but I mean, we'll go 229 00:12:47,040 --> 00:12:49,840 Speaker 1: ahead and buy into this happiness idea, and I know 230 00:12:49,920 --> 00:12:54,480 Speaker 1: that you are very much in love with the Grant Study. Yeah, 231 00:12:54,520 --> 00:12:57,920 Speaker 1: there's this uh awesome study And yes, I just said 232 00:12:57,920 --> 00:13:00,839 Speaker 1: awesome study. Um it's a seven me two years study 233 00:13:00,880 --> 00:13:04,520 Speaker 1: that's taken place at Harvard University that tracked over two 234 00:13:04,679 --> 00:13:09,640 Speaker 1: hundred male students since they were freshmen at Harvard. And now, 235 00:13:09,679 --> 00:13:11,440 Speaker 1: I mean a lot of these guys have actually gone 236 00:13:11,480 --> 00:13:13,520 Speaker 1: and they died. A lot of them are, you know, 237 00:13:14,000 --> 00:13:17,319 Speaker 1: an old age in their eighties, and it has tracked 238 00:13:17,440 --> 00:13:22,280 Speaker 1: their happiness throughout life to try to find out what 239 00:13:22,280 --> 00:13:27,280 Speaker 1: what makes a happy man. And one of the biggest 240 00:13:27,320 --> 00:13:30,400 Speaker 1: findings that's come out of this research, because you know, 241 00:13:30,400 --> 00:13:33,120 Speaker 1: these are Harvard graduates. They had some of them, didn't 242 00:13:33,440 --> 00:13:37,720 Speaker 1: all have you know, uh, wealthy upbrings, but they leaving Harvard, 243 00:13:37,720 --> 00:13:39,480 Speaker 1: you would think that they were all kind of on 244 00:13:39,480 --> 00:13:42,920 Speaker 1: the equal footing to succeed at the end of the 245 00:13:43,040 --> 00:13:46,560 Speaker 1: day seventy two years later, the biggest finding from the 246 00:13:46,559 --> 00:13:50,720 Speaker 1: study is that it's not social aptitude or intelligence or 247 00:13:50,800 --> 00:13:57,160 Speaker 1: social class that leads to happy aging relationships Molly relationship 248 00:13:57,240 --> 00:13:58,920 Speaker 1: matter more than anything else. And this is something that 249 00:13:58,960 --> 00:14:02,120 Speaker 1: I've seen in all of these happiness articles that have 250 00:14:02,200 --> 00:14:04,680 Speaker 1: come out. At the end of the day, the biggest 251 00:14:04,679 --> 00:14:09,000 Speaker 1: predictor of happiness isn't male or female, or smart or 252 00:14:09,040 --> 00:14:12,920 Speaker 1: unintelligent or what have you. It's the social networks that 253 00:14:13,000 --> 00:14:15,560 Speaker 1: you build. It's when things go wrong, are you going 254 00:14:15,600 --> 00:14:19,480 Speaker 1: to have a network there to help you recover? Sounds good. 255 00:14:19,480 --> 00:14:21,680 Speaker 1: So if I could sum up everything I've learned so 256 00:14:21,720 --> 00:14:24,040 Speaker 1: far in this podcast, you can just smile big for 257 00:14:24,080 --> 00:14:27,760 Speaker 1: your yearbook photo, and then when you order the prints, 258 00:14:27,800 --> 00:14:29,720 Speaker 1: you give them to as many people as possible to 259 00:14:29,720 --> 00:14:32,040 Speaker 1: start building your social networks. Right there, you go and 260 00:14:32,120 --> 00:14:34,840 Speaker 1: pass your yearbook around to get them to sign them 261 00:14:34,880 --> 00:14:37,960 Speaker 1: so you build, yeah, make more friends. And Molly, we 262 00:14:38,040 --> 00:14:40,800 Speaker 1: do have one more silver lining for all of this 263 00:14:40,920 --> 00:14:46,840 Speaker 1: happiness research. By and large, when we get older, people 264 00:14:47,560 --> 00:14:51,600 Speaker 1: are just happy people. Older people, male or female, are 265 00:14:51,640 --> 00:14:55,840 Speaker 1: happier than younger people. And that's because, you know, despite 266 00:14:56,080 --> 00:15:01,400 Speaker 1: maybe unfulfilled career dreams or hardships along the way. Hopefully 267 00:15:01,600 --> 00:15:04,000 Speaker 1: by the time we're in our seventies, we can sit 268 00:15:04,040 --> 00:15:07,240 Speaker 1: back and look at all the things that have happened 269 00:15:07,280 --> 00:15:10,760 Speaker 1: and say, well, I made it this far. That's something 270 00:15:10,800 --> 00:15:14,320 Speaker 1: to be happy about. And if all else fails, just 271 00:15:14,360 --> 00:15:17,520 Speaker 1: look at cute pictures of kittens on the internet. Kittens. 272 00:15:18,560 --> 00:15:20,720 Speaker 1: That's happy. That's very happy. Hey, you know what makes 273 00:15:20,720 --> 00:15:25,440 Speaker 1: me happy talking at the same time, um, listener mail. 274 00:15:25,760 --> 00:15:29,440 Speaker 1: Listener mail is very happy. Making Yeah, listener mail will nice. 275 00:15:29,480 --> 00:15:31,880 Speaker 1: Listener mail at least makes Molly and me happier than 276 00:15:32,120 --> 00:15:34,680 Speaker 1: a lot of other things at work, it seems. So 277 00:15:35,760 --> 00:15:42,120 Speaker 1: let's read some mail. So, uh, first mail I wanted 278 00:15:42,120 --> 00:15:44,920 Speaker 1: to read came as a response to our is Roller 279 00:15:45,000 --> 00:15:49,760 Speaker 1: Derby Sport or Spectacle podcast. It's from Monica, who writes, 280 00:15:49,840 --> 00:15:52,080 Speaker 1: thanks so much for doing an episode on Roller Derby 281 00:15:52,120 --> 00:15:55,600 Speaker 1: and explaining what the current sport is like today. Um, 282 00:15:55,760 --> 00:15:58,040 Speaker 1: people still have so many misconceptions as to what Derby 283 00:15:58,160 --> 00:16:00,320 Speaker 1: is and she thinks that we are for after when 284 00:16:00,360 --> 00:16:03,480 Speaker 1: we said it is sport and spectacle. She says, it's 285 00:16:03,480 --> 00:16:07,600 Speaker 1: insanely hard work, it's athletic, it's sexy, it's empowering. And 286 00:16:07,640 --> 00:16:10,320 Speaker 1: then Christian special message to you, since you were talking 287 00:16:10,320 --> 00:16:12,720 Speaker 1: about your roller Derby dreams, she told you don't give 288 00:16:12,800 --> 00:16:15,360 Speaker 1: up on skating. Monica just started skating for the first 289 00:16:15,360 --> 00:16:17,600 Speaker 1: time last November. She was all over the rank, falling 290 00:16:17,880 --> 00:16:19,880 Speaker 1: and being latched by five year olds and she assumed 291 00:16:19,880 --> 00:16:22,200 Speaker 1: she was crazy for you've been trying. But just a 292 00:16:22,200 --> 00:16:24,640 Speaker 1: couple of months later, she's a skater. She can pick 293 00:16:24,680 --> 00:16:27,000 Speaker 1: it up, So do not give up. I would say, 294 00:16:27,080 --> 00:16:29,480 Speaker 1: if you want to see kristin roller Derby, let's write in. 295 00:16:29,560 --> 00:16:32,120 Speaker 1: Let's make it a rite in campaign. Thank you Monica 296 00:16:32,200 --> 00:16:36,800 Speaker 1: for those encouraging words. We had another former roller girl 297 00:16:37,320 --> 00:16:39,960 Speaker 1: rock Still a rampage of the Jet City roller Girls 298 00:16:40,040 --> 00:16:41,880 Speaker 1: right in and she said, I've listened to your podcast 299 00:16:41,880 --> 00:16:43,960 Speaker 1: about roller Derby, and one important thing that was not 300 00:16:44,120 --> 00:16:46,880 Speaker 1: mentioned was the amount of time that these women dedicate 301 00:16:46,960 --> 00:16:49,320 Speaker 1: to the sport. As a former roller girl, I would 302 00:16:49,320 --> 00:16:52,600 Speaker 1: spend a minimum of six hours each week for practice 303 00:16:53,080 --> 00:16:55,400 Speaker 1: and or bouts, and that was at the low end 304 00:16:55,440 --> 00:16:58,160 Speaker 1: of time dedicated to the sport. This is not the 305 00:16:58,160 --> 00:17:00,360 Speaker 1: type of hobby for people who are just looking to 306 00:17:00,440 --> 00:17:02,640 Speaker 1: be a weekend warrior. And I will say that when 307 00:17:02,640 --> 00:17:04,920 Speaker 1: I talked to Tania Hyde with the Atlanta roller Girls, 308 00:17:04,920 --> 00:17:07,280 Speaker 1: that was one thing we talked about was that girls 309 00:17:07,320 --> 00:17:10,200 Speaker 1: are out there skating probably five times a week, so 310 00:17:11,080 --> 00:17:13,200 Speaker 1: I mean, and that's I'm sure that's at least six hours. 311 00:17:13,200 --> 00:17:16,159 Speaker 1: So these these women are always out there skating, getting 312 00:17:16,200 --> 00:17:18,800 Speaker 1: better and then competing in bouts. So something for you 313 00:17:18,840 --> 00:17:21,520 Speaker 1: to keep in mind. Christen, Yes, time management. And then 314 00:17:21,680 --> 00:17:24,440 Speaker 1: one last email. We do not have this person's name, 315 00:17:24,520 --> 00:17:27,760 Speaker 1: but we loved the email. She listened to the podcast 316 00:17:27,840 --> 00:17:30,679 Speaker 1: What does a Feminist look Like and she quite agreed 317 00:17:30,720 --> 00:17:32,800 Speaker 1: with a lot of what we talked about, particularly about 318 00:17:32,840 --> 00:17:34,920 Speaker 1: how modern day women do not want to be labeled 319 00:17:35,240 --> 00:17:39,160 Speaker 1: as feminist because of the negativity surrounding the word, especially teenagers. 320 00:17:40,080 --> 00:17:43,000 Speaker 1: She wrote, I usually do not like labels and especially stereotypes, 321 00:17:43,040 --> 00:17:45,359 Speaker 1: but I am proud to call myself a feminist. I 322 00:17:45,359 --> 00:17:47,919 Speaker 1: am Mexican, which is very male dominated culture, and that 323 00:17:47,960 --> 00:17:51,280 Speaker 1: has influenced my beliefs, especially I do not shave my legs, 324 00:17:51,280 --> 00:17:53,080 Speaker 1: but I don't mind wearing a little black dress now 325 00:17:53,080 --> 00:17:55,760 Speaker 1: and then I am fifteen that I've been voicing my 326 00:17:55,760 --> 00:17:58,040 Speaker 1: opinions on the subject ever since I was young and 327 00:17:58,080 --> 00:18:01,320 Speaker 1: at times naive ten year old, and the podcast inspired 328 00:18:01,359 --> 00:18:03,040 Speaker 1: her to go out and buy a this is what 329 00:18:03,080 --> 00:18:06,800 Speaker 1: a feminist looks like t shirts? So fifteen year old 330 00:18:06,800 --> 00:18:09,040 Speaker 1: ready to put the feminist label on her, even with 331 00:18:09,080 --> 00:18:11,800 Speaker 1: the negative stereotypes. And I'm sure she was not that 332 00:18:11,960 --> 00:18:16,520 Speaker 1: naive at ten year old. Yes, sounds verymature, awesome. So 333 00:18:16,560 --> 00:18:18,280 Speaker 1: if you guys want to write us, I've got an 334 00:18:18,280 --> 00:18:22,480 Speaker 1: email address. It's Mom Stuff at how stuff works dot com. 335 00:18:22,520 --> 00:18:26,800 Speaker 1: And if you want to read more about happiness and 336 00:18:26,840 --> 00:18:29,960 Speaker 1: how to get happy, you should head on over to 337 00:18:31,040 --> 00:18:36,480 Speaker 1: how stuff works dot com for more on this and 338 00:18:36,520 --> 00:18:40,679 Speaker 1: thousands of other topics. Is it how stuff works dot com? 339 00:18:40,920 --> 00:18:43,639 Speaker 1: Want more how stuff works? Check out our blogs on 340 00:18:43,760 --> 00:18:50,639 Speaker 1: the house stuff works dot com home page. Brought to 341 00:18:50,640 --> 00:18:53,760 Speaker 1: you by the reinvented two thousand twelve Camray. It's ready, 342 00:18:53,920 --> 00:18:54,360 Speaker 1: are you