1 00:00:00,240 --> 00:00:02,880 Speaker 1: Brought to you by the reinvented two thousand twelve Camray. 2 00:00:03,120 --> 00:00:07,480 Speaker 1: It's ready. Are you welcome to Stuff you should know 3 00:00:08,080 --> 00:00:16,320 Speaker 1: from house Stuff Works dot com. Hey, and welcome to 4 00:00:16,360 --> 00:00:19,000 Speaker 1: the podcast. I'm Josh Clark with me as always as 5 00:00:19,120 --> 00:00:23,680 Speaker 1: Charles W. Luscious Bryant. How's it going, Chuck? Sounding funny 6 00:00:23,720 --> 00:00:26,560 Speaker 1: the second time around? Josh actually had to do two 7 00:00:26,600 --> 00:00:29,600 Speaker 1: takes there, and to hear your name as luscious twice 8 00:00:29,600 --> 00:00:31,720 Speaker 1: in a row, he was very special. What did it 9 00:00:31,800 --> 00:00:36,599 Speaker 1: do to you? Made me feeluscious? I guess I'm doing well, sir. 10 00:00:36,640 --> 00:00:39,080 Speaker 1: How are you? I'm pretty good? What are happen to? 11 00:00:39,120 --> 00:00:42,239 Speaker 1: Luscious Jackson? Remember them? Yeah? They were good. They were 12 00:00:42,280 --> 00:00:46,560 Speaker 1: around the same time as uh Good Beast you boys. Yeah, 13 00:00:46,600 --> 00:00:50,280 Speaker 1: because they're all buddies. Yeah yeah, I think one of 14 00:00:50,320 --> 00:00:53,000 Speaker 1: them produced their album or something. She Loving Special Sauce. 15 00:00:53,040 --> 00:00:54,480 Speaker 1: That's who I was thinking. I was a huge fan 16 00:00:54,520 --> 00:00:56,960 Speaker 1: of them early on you Yeah, and then they got 17 00:00:56,960 --> 00:01:00,400 Speaker 1: picked up and you're like, just I think just kind 18 00:01:00,400 --> 00:01:05,560 Speaker 1: of lost interest after the third seed or something. Gotcha anyway, Okay, Um, 19 00:01:05,760 --> 00:01:11,440 Speaker 1: Chuck equals luxious Jackson fan just just in. Also, I'm 20 00:01:11,480 --> 00:01:15,160 Speaker 1: thick tongued case you had People always ask if Josh 21 00:01:15,200 --> 00:01:17,360 Speaker 1: eats things while we podcast, and that is not true. 22 00:01:17,680 --> 00:01:22,240 Speaker 1: It has a real effect on my happiness. Yes, good 23 00:01:22,319 --> 00:01:24,360 Speaker 1: lead in. No, that's not the lead in. I was 24 00:01:24,440 --> 00:01:30,400 Speaker 1: just trying to psych you out. The seemingly uniquely American 25 00:01:31,040 --> 00:01:35,480 Speaker 1: tradition of killing census bureau workers has begun again in 26 00:01:35,640 --> 00:01:38,480 Speaker 1: the just ahead of the two thousand ten census. Chuck, 27 00:01:38,840 --> 00:01:41,880 Speaker 1: are they are they doing that now? Yeah, it's about 28 00:01:41,920 --> 00:01:44,080 Speaker 1: that time. No one's ever knocked on my door. There 29 00:01:44,120 --> 00:01:46,640 Speaker 1: was a guy named Bill Sparkman, aft one year old 30 00:01:46,680 --> 00:01:50,440 Speaker 1: Census Bureau employee. Um, I think it's just a worker, 31 00:01:50,520 --> 00:01:53,640 Speaker 1: like he was just getting work as a census taker. Uh. 32 00:01:53,680 --> 00:01:58,480 Speaker 1: They found his body hanging from a tree in her cemetery, Kentucky, 33 00:01:58,680 --> 00:02:02,880 Speaker 1: and the word fed was growled across it. Yeah, that's 34 00:02:02,880 --> 00:02:05,760 Speaker 1: a new kind of hate crime. Yes, well, no, it's 35 00:02:05,760 --> 00:02:10,520 Speaker 1: not a new Census Bureau workers get killed every everything census. Yeah, yeah, 36 00:02:10,639 --> 00:02:13,120 Speaker 1: no idea. Yeah, it's weird. It's a weird thing to do, 37 00:02:13,280 --> 00:02:15,320 Speaker 1: but I hope they get paid. Well. Some people don't 38 00:02:15,360 --> 00:02:19,840 Speaker 1: like their privacy being invaded or their land being stepped on. 39 00:02:20,000 --> 00:02:23,800 Speaker 1: You don't want to knock on my door, brother, Um, 40 00:02:24,160 --> 00:02:27,480 Speaker 1: I can tell you a place where there are census 41 00:02:27,520 --> 00:02:30,120 Speaker 1: takers that probably will not be strung up in trees. 42 00:02:30,480 --> 00:02:33,520 Speaker 1: Bu Bhutan. You know, they had their first census just 43 00:02:33,600 --> 00:02:36,720 Speaker 1: like four years ago. Is that right? Bhutan has been 44 00:02:36,760 --> 00:02:40,600 Speaker 1: undergoing a lot of changes lately, there, chuckers Um. In 45 00:02:40,760 --> 00:02:45,040 Speaker 1: two thousand and eight, the king abdicated his throne in 46 00:02:45,120 --> 00:02:49,519 Speaker 1: favor of a parliamentary democracy. Very popular, huge, Yeah, beloved, 47 00:02:49,560 --> 00:02:52,200 Speaker 1: you could say. Actually, he was the beloved son of 48 00:02:52,200 --> 00:02:57,320 Speaker 1: a beloved king Um and he abdicated his throne in 49 00:02:57,400 --> 00:03:01,280 Speaker 1: favor of a democracy because they determined the democracies make 50 00:03:01,400 --> 00:03:05,520 Speaker 1: people happier than kingdoms do. So he wanted to make 51 00:03:05,560 --> 00:03:09,080 Speaker 1: his small I think the census was six nine thousand people, 52 00:03:09,280 --> 00:03:11,280 Speaker 1: Is that it? Yeah, he wanted to make them happy. 53 00:03:11,360 --> 00:03:14,520 Speaker 1: He did, and uh, he did so much so that 54 00:03:14,840 --> 00:03:17,360 Speaker 1: they've also at the same time when they adopted a 55 00:03:17,360 --> 00:03:20,680 Speaker 1: new constitution in a new form of government, they also 56 00:03:20,760 --> 00:03:25,240 Speaker 1: adopted a pretty much a guiding principle for the country 57 00:03:25,560 --> 00:03:30,480 Speaker 1: called gross national happiness. Awesome. That sounds familiar, doesn't remember that, listener, Male, 58 00:03:30,600 --> 00:03:33,360 Speaker 1: I'm the girl who was clearly headed to Yale that 59 00:03:33,480 --> 00:03:35,200 Speaker 1: this fall. Yeah, that she did the survey at her 60 00:03:35,240 --> 00:03:38,360 Speaker 1: own school to find out how happy the fellow students were. Yeah. Cool, 61 00:03:38,520 --> 00:03:42,560 Speaker 1: the the Butanies are into the same thing. You're gonna 62 00:03:42,600 --> 00:03:47,120 Speaker 1: try and pronounce his name, Yes, the King Jigmai Singhay 63 00:03:47,680 --> 00:03:50,320 Speaker 1: wang Chuck. I got the whang chuck part, definitely. They 64 00:03:50,320 --> 00:03:53,640 Speaker 1: said you could call him dragon King. Okay, they meaning 65 00:03:54,400 --> 00:03:56,680 Speaker 1: they called me up, the Boutinees did. They said you 66 00:03:56,720 --> 00:03:58,720 Speaker 1: can just call him dragon King. They heard that we 67 00:03:58,720 --> 00:04:02,160 Speaker 1: were doing this podcast. Indeed, okay, well, the Dragon King, 68 00:04:02,240 --> 00:04:04,840 Speaker 1: thank you for that. By the thing, um, back in 69 00:04:04,920 --> 00:04:08,760 Speaker 1: ninety two, he came up with the idea of gross 70 00:04:08,880 --> 00:04:13,960 Speaker 1: national happiness. Um, that's probably sounds a lot like gross 71 00:04:14,000 --> 00:04:17,760 Speaker 1: domestic product or gross national product. Right, And I'm we've 72 00:04:17,760 --> 00:04:19,400 Speaker 1: talked about before. I'm glad you pointed out in the 73 00:04:19,520 --> 00:04:22,240 Speaker 1: article too that this isn't just uh, it wasn't just 74 00:04:22,320 --> 00:04:24,720 Speaker 1: a fluffy little happy thing they decided to do. They 75 00:04:24,720 --> 00:04:26,720 Speaker 1: were really serious about it. Nor is it tongue in 76 00:04:26,800 --> 00:04:30,040 Speaker 1: cheek like the five day weekend, which we've also talked about. Right, 77 00:04:30,200 --> 00:04:36,000 Speaker 1: This is that they've taken well, we'll we'll break this down, yes, okay. Basically, 78 00:04:36,040 --> 00:04:39,279 Speaker 1: what the Boutanies have done is come to a collective 79 00:04:39,320 --> 00:04:45,400 Speaker 1: agreement that number one, happiness is not just a response 80 00:04:45,440 --> 00:04:49,040 Speaker 1: to external stimuli like a new car or something like that. 81 00:04:49,320 --> 00:04:52,640 Speaker 1: They've taken the decidedly more Buddhist approach to happiness that 82 00:04:52,720 --> 00:04:55,919 Speaker 1: it comes from within, right, which is a lovely sentiment. 83 00:04:55,960 --> 00:04:59,120 Speaker 1: I think that's that's step one. It's easy for Boutan 84 00:04:59,200 --> 00:05:03,760 Speaker 1: to do it because there a Buddhist country right right, um, peaceful. 85 00:05:04,240 --> 00:05:06,719 Speaker 1: So step one was to say, all right, happiness comes 86 00:05:06,720 --> 00:05:09,800 Speaker 1: from with him. Step two is to say, okay, how 87 00:05:10,000 --> 00:05:16,240 Speaker 1: do you achieve this happiness? Key? They actually did this 88 00:05:16,360 --> 00:05:18,559 Speaker 1: survey over three months. I think it was a hundred 89 00:05:18,560 --> 00:05:20,800 Speaker 1: and eight questions, and that was the second version. The 90 00:05:20,800 --> 00:05:23,160 Speaker 1: first one was determined to be just way too long. Yes, 91 00:05:23,240 --> 00:05:26,520 Speaker 1: also those questions too. It's pretty cool, Like what buddy well, 92 00:05:26,720 --> 00:05:28,240 Speaker 1: I mean I went to that. Uh what was the 93 00:05:28,240 --> 00:05:31,599 Speaker 1: website gross National Happiness dot Com? I think actually, or 94 00:05:31,720 --> 00:05:34,520 Speaker 1: or one of the two was it. I can't remember 95 00:05:34,520 --> 00:05:37,599 Speaker 1: it an organ it may be. I can't remember what 96 00:05:37,680 --> 00:05:39,480 Speaker 1: the questions where you didn't know you're gonna put me 97 00:05:39,480 --> 00:05:41,120 Speaker 1: on the spot like this, but there were things like 98 00:05:41,680 --> 00:05:43,919 Speaker 1: how do you feel about or how much rest do 99 00:05:43,960 --> 00:05:46,800 Speaker 1: you get when you perform certain tasks and how does 100 00:05:46,800 --> 00:05:49,800 Speaker 1: this make you feel about your family? Just things like that. 101 00:05:50,320 --> 00:05:53,800 Speaker 1: So what they came up with, Chuck, was a basically 102 00:05:53,880 --> 00:05:58,000 Speaker 1: nine guiding principles toward happiness. Right, Yes, I actually have 103 00:05:58,120 --> 00:06:02,000 Speaker 1: them here? I do too. Oh real, Yes, that means 104 00:06:02,320 --> 00:06:05,440 Speaker 1: touch and french. Um what are they, chuck, because I 105 00:06:05,440 --> 00:06:09,120 Speaker 1: can't find my cherry loves that joke? Uh? Time use, 106 00:06:09,800 --> 00:06:17,360 Speaker 1: living standards, good governance, psychological well being, community fatality, culture, health, 107 00:06:17,520 --> 00:06:22,960 Speaker 1: and education ecology okay, or those are two, I think 108 00:06:23,120 --> 00:06:26,680 Speaker 1: education and ecology. So basically they've figured out that these 109 00:06:26,800 --> 00:06:30,280 Speaker 1: are the nine things combined that make a happy life. Right, 110 00:06:30,320 --> 00:06:32,240 Speaker 1: I could dig that, and I mean some of them 111 00:06:32,279 --> 00:06:38,520 Speaker 1: sound a little obtuse, like psychological well being? What is that? Right? Um? Basically, 112 00:06:38,560 --> 00:06:43,200 Speaker 1: what they've they've come up with is you can't just say, hey, 113 00:06:43,240 --> 00:06:45,680 Speaker 1: how how happy are you? Scale a one to ten? 114 00:06:46,400 --> 00:06:50,480 Speaker 1: Or would you say seven it's not bad? Um? Would 115 00:06:50,520 --> 00:06:54,800 Speaker 1: you say that you're more happy, less happy, or just 116 00:06:54,839 --> 00:06:57,279 Speaker 1: as happy as you were last year? Like the Butanees 117 00:06:57,360 --> 00:07:00,360 Speaker 1: pretty much immediately threw this out the window. They said 118 00:07:00,400 --> 00:07:03,880 Speaker 1: that this is just it's too imprecise, and we have 119 00:07:04,080 --> 00:07:08,360 Speaker 1: to turn this into a metric system a system of metrices, 120 00:07:09,480 --> 00:07:13,480 Speaker 1: is that, right? Metrices? Okay, they wanted to quantify it 121 00:07:14,080 --> 00:07:16,680 Speaker 1: very much so because they're, like you said, they're very 122 00:07:16,800 --> 00:07:20,800 Speaker 1: very serious about this. Right. So, Um, let's say, let's 123 00:07:20,800 --> 00:07:25,160 Speaker 1: take psychological well being. They they took these guiding principles 124 00:07:25,320 --> 00:07:28,840 Speaker 1: and then they broke them down by indicators. Right, So 125 00:07:29,040 --> 00:07:33,080 Speaker 1: you have an indicator like the prevalence of UM negative 126 00:07:33,120 --> 00:07:37,520 Speaker 1: emotions like jealousy or frustration or selfishness, the prevalence of 127 00:07:37,560 --> 00:07:43,880 Speaker 1: positive emotions like UM, generosity, compassion, calmness. Right, and um 128 00:07:44,000 --> 00:07:47,000 Speaker 1: that those right there are indicators that when you compile 129 00:07:47,040 --> 00:07:51,000 Speaker 1: them all together in a survey, you have an impression 130 00:07:51,080 --> 00:07:54,520 Speaker 1: of the psychological well being of the household that's being 131 00:07:55,320 --> 00:07:57,880 Speaker 1: taken in the census. Right. Could you imagine our country 132 00:07:57,880 --> 00:08:00,520 Speaker 1: ever doing anything remotely close to this? Know? And the 133 00:08:00,560 --> 00:08:05,440 Speaker 1: reason why is because we just like the Boutaneese recently said, 134 00:08:05,560 --> 00:08:08,600 Speaker 1: we're going to collectively agree that we want to focus 135 00:08:08,640 --> 00:08:16,120 Speaker 1: our our national focus on happiness the the US A 136 00:08:16,120 --> 00:08:19,760 Speaker 1: long time ago, actually around World War two, when the 137 00:08:19,840 --> 00:08:24,600 Speaker 1: g MP was first introduced. Um, we made a collective 138 00:08:24,640 --> 00:08:31,520 Speaker 1: agreement that we want to focus on materialism, money stuff 139 00:08:32,600 --> 00:08:36,800 Speaker 1: that's how we measure our um our well being in 140 00:08:36,840 --> 00:08:39,280 Speaker 1: this country. And that's not to say that it's any 141 00:08:39,360 --> 00:08:44,240 Speaker 1: worse or better, um than Bhutan's idea. It's just radically different. 142 00:08:44,480 --> 00:08:46,280 Speaker 1: And one of the reasons it is radically different is 143 00:08:46,320 --> 00:08:49,800 Speaker 1: because in this country we don't tech, We don't we 144 00:08:49,840 --> 00:08:53,319 Speaker 1: don't tend to think of happiness as coming from within. 145 00:08:53,880 --> 00:08:57,960 Speaker 1: It is like behavioral psychologists believe, or a lot of 146 00:08:58,000 --> 00:09:01,880 Speaker 1: them do. It's the spons of physiological response to an 147 00:09:01,880 --> 00:09:05,600 Speaker 1: external stimuli. Right. So we've said, yeah, so we've said 148 00:09:05,840 --> 00:09:08,160 Speaker 1: we're going to go for the materialism route, and this 149 00:09:08,200 --> 00:09:10,880 Speaker 1: is what's going to dictate our policies. How much money 150 00:09:10,880 --> 00:09:12,920 Speaker 1: do you have. If you've got a bunch of money, 151 00:09:13,160 --> 00:09:14,959 Speaker 1: you can go get your car and all that stuff. 152 00:09:15,000 --> 00:09:16,480 Speaker 1: So let's figure out how to make a bunch of 153 00:09:16,480 --> 00:09:19,400 Speaker 1: money for everybody in this country. Right. Um. And even 154 00:09:19,440 --> 00:09:23,120 Speaker 1: if you on a an individual level don't agree with 155 00:09:23,200 --> 00:09:27,080 Speaker 1: the concept of materialism, if you're in the US, you 156 00:09:27,400 --> 00:09:29,920 Speaker 1: tacitly agree with it just by going to work every day. 157 00:09:30,720 --> 00:09:33,440 Speaker 1: The whole, the whole point of most of your waking 158 00:09:33,480 --> 00:09:36,200 Speaker 1: life is accumulation of money, right, or you're looked at 159 00:09:36,240 --> 00:09:38,320 Speaker 1: as a freak of nature. If you are one of 160 00:09:38,320 --> 00:09:41,600 Speaker 1: those people who decided to drop out and go live 161 00:09:41,640 --> 00:09:45,200 Speaker 1: off the grid and so they're on seed in the mountains. Sure, 162 00:09:45,320 --> 00:09:47,640 Speaker 1: you're a weirdo in this country if you do that, 163 00:09:48,000 --> 00:09:50,000 Speaker 1: or if you die after three months, they make a 164 00:09:50,040 --> 00:09:54,480 Speaker 1: movie about you and a book The bear guy. Who 165 00:09:54,520 --> 00:09:57,040 Speaker 1: I thought you talk about Timothy Treadwell, the grizzly Bear. No, 166 00:09:57,120 --> 00:10:01,160 Speaker 1: I was talking about Christopher McCandless. Okay, Sure, from into 167 00:10:01,160 --> 00:10:05,560 Speaker 1: the Wild thing similar, similar thing the bear. I thought 168 00:10:05,600 --> 00:10:08,640 Speaker 1: that was actually about a bear. No, Timothy Treadwell was 169 00:10:08,679 --> 00:10:11,080 Speaker 1: as a bear enthusiast who went to live among the 170 00:10:11,080 --> 00:10:13,800 Speaker 1: bears and was killed by a bear. Was killed Neaton 171 00:10:13,840 --> 00:10:17,319 Speaker 1: by bear. What a way to go. So, Chuck, let's 172 00:10:17,360 --> 00:10:23,880 Speaker 1: get back to how how Bhutan has made this quantified? Right? Yes, 173 00:10:24,640 --> 00:10:27,079 Speaker 1: so you've got uh. We were talking about psychological well 174 00:10:27,080 --> 00:10:29,760 Speaker 1: being and then all these different indicators. One of the 175 00:10:29,800 --> 00:10:32,760 Speaker 1: other things that they've decided to do is to take 176 00:10:33,240 --> 00:10:38,920 Speaker 1: um objective data as well as subjective data to evaluate 177 00:10:39,000 --> 00:10:43,120 Speaker 1: just how much worth something has. Right um. I was 178 00:10:43,160 --> 00:10:46,880 Speaker 1: reading pretty much a breakdown of the gross national happiness 179 00:10:46,880 --> 00:10:50,360 Speaker 1: system that Bhutan has by the the Center for Boutan 180 00:10:50,440 --> 00:10:54,760 Speaker 1: Studies it's pretty impressive. It is um and what they've 181 00:10:54,840 --> 00:10:57,760 Speaker 1: what they've said is so you've got like crime. Right 182 00:10:58,679 --> 00:11:01,640 Speaker 1: in the US, we have time statistics, and then the 183 00:11:01,960 --> 00:11:05,520 Speaker 1: FBI issues the uniform Crime Report every year, right, and 184 00:11:05,559 --> 00:11:10,839 Speaker 1: it gets kind of granular, like um, crime perpetrated by race, 185 00:11:10,920 --> 00:11:15,120 Speaker 1: by gender, by age, what kind of crime? It's real granular, 186 00:11:15,280 --> 00:11:17,160 Speaker 1: it does. But really, if you think about it, it's 187 00:11:17,200 --> 00:11:21,000 Speaker 1: just a statistic like I shoot you you die. That's 188 00:11:21,040 --> 00:11:24,640 Speaker 1: one homicide, right, right, So what the botanis do is 189 00:11:24,679 --> 00:11:27,240 Speaker 1: they still have these crime statistics. They use crime data, 190 00:11:27,679 --> 00:11:30,599 Speaker 1: but they take it a step further through these surveys 191 00:11:31,240 --> 00:11:34,920 Speaker 1: and say how safe do you feel? Okay, I guess 192 00:11:34,960 --> 00:11:36,439 Speaker 1: that's one of the perks of having a country of 193 00:11:36,480 --> 00:11:40,200 Speaker 1: six people. Sure, I guess the census goes a lot 194 00:11:40,320 --> 00:11:44,040 Speaker 1: faster um. But but so that one, right, So the 195 00:11:44,080 --> 00:11:49,120 Speaker 1: crime statistics taken with how safe the population self reports feeling, 196 00:11:49,760 --> 00:11:53,120 Speaker 1: that would be part of community vitality. Right. Yeah, it 197 00:11:53,160 --> 00:11:56,160 Speaker 1: makes sense, it does, doesn't it. It's weird that it 198 00:11:56,240 --> 00:12:01,120 Speaker 1: makes sense because really it's the op is it of 199 00:12:01,200 --> 00:12:06,199 Speaker 1: the premise behind gross domestic product or gross national product, 200 00:12:06,440 --> 00:12:08,440 Speaker 1: which is all material but it uses a lot of 201 00:12:08,440 --> 00:12:12,959 Speaker 1: the same UM model, but rather than money, it's going 202 00:12:13,080 --> 00:12:16,679 Speaker 1: for happiness. You know, I think that boggling. Actually, I 203 00:12:16,679 --> 00:12:18,000 Speaker 1: think it's the only way they could have pulled this 204 00:12:18,080 --> 00:12:21,120 Speaker 1: off is if if they did use like a GDP 205 00:12:21,320 --> 00:12:23,920 Speaker 1: model instead of just kind of willing really throwing some 206 00:12:24,040 --> 00:12:26,760 Speaker 1: questions out there about happiness. Right, they actually said that 207 00:12:26,800 --> 00:12:30,320 Speaker 1: in this breakdown of Gross National Happiness that like, you know, 208 00:12:30,360 --> 00:12:33,000 Speaker 1: it's a great idea, but we had to quantify it 209 00:12:33,080 --> 00:12:34,720 Speaker 1: or else it was just going to be useless. So 210 00:12:34,840 --> 00:12:37,280 Speaker 1: they really went to town on it. Right. So what 211 00:12:37,400 --> 00:12:43,120 Speaker 1: they've done is take these nine guiding principles, right and 212 00:12:43,320 --> 00:12:48,160 Speaker 1: dimensions dimensions that's rights, and they they've they've broken them 213 00:12:48,160 --> 00:12:50,640 Speaker 1: down into all these different indicators, right that can be 214 00:12:51,200 --> 00:12:58,319 Speaker 1: UM subjectively reported on. And they've established a threshold, just 215 00:12:58,400 --> 00:13:01,480 Speaker 1: like we use for poverty lines. Right, So in the US, 216 00:13:01,520 --> 00:13:03,520 Speaker 1: what is it If you're an individual and you make 217 00:13:04,200 --> 00:13:07,760 Speaker 1: like some some ridiculously low amount, like thirteen thousand dollars 218 00:13:07,760 --> 00:13:11,959 Speaker 1: a year, you're you're below the poverty line. But if 219 00:13:12,000 --> 00:13:14,840 Speaker 1: you make thirteen thousand and one dollars, you're above the 220 00:13:14,880 --> 00:13:19,920 Speaker 1: poverty line. Um. They they created thresholds UM for achievement 221 00:13:20,360 --> 00:13:25,880 Speaker 1: is how they put it UM to where let's say, uh, 222 00:13:26,000 --> 00:13:27,920 Speaker 1: we'll go back to a scale just to make it easier. 223 00:13:27,960 --> 00:13:32,440 Speaker 1: On a scale of one to ten. UM four is 224 00:13:32,520 --> 00:13:38,800 Speaker 1: the is the threshold for UM general psycho psychological well being? Right, Okay, 225 00:13:39,240 --> 00:13:43,280 Speaker 1: So if you have if you say yes to X 226 00:13:43,400 --> 00:13:46,960 Speaker 1: number of questions on these indicators and then they add 227 00:13:47,000 --> 00:13:51,240 Speaker 1: them all up and your score is five, you've surpassed 228 00:13:51,240 --> 00:13:53,360 Speaker 1: the threshold, but you're not put down as a five, 229 00:13:54,040 --> 00:13:56,840 Speaker 1: put down as a four. Do you understand what I'm saying? 230 00:13:57,360 --> 00:13:59,640 Speaker 1: What they're what they're doing in that is that they 231 00:13:59,679 --> 00:14:05,400 Speaker 1: have chosen to focus on building up any deficits that 232 00:14:05,440 --> 00:14:09,880 Speaker 1: turn up in gross national happiness, uh, as opposed to 233 00:14:10,160 --> 00:14:15,360 Speaker 1: UM touting how happy that the happiest people actually are. Yeah, 234 00:14:15,400 --> 00:14:18,040 Speaker 1: their goal is to to be a happier country, right, 235 00:14:18,200 --> 00:14:19,840 Speaker 1: So have a lot of poor people there too, Like 236 00:14:19,880 --> 00:14:22,280 Speaker 1: they're really being hard on themselves here, Like their gross 237 00:14:22,360 --> 00:14:25,720 Speaker 1: national happiness the most it could ever possibly be. If 238 00:14:25,760 --> 00:14:28,960 Speaker 1: every single person in the country is happy at the 239 00:14:29,000 --> 00:14:34,760 Speaker 1: same time, is one. Everything else is negative. Okay, So 240 00:14:34,800 --> 00:14:37,600 Speaker 1: then they go focus on why it's negative and they 241 00:14:37,640 --> 00:14:39,680 Speaker 1: break it down much the same way like the FBI 242 00:14:39,720 --> 00:14:43,240 Speaker 1: breaks down crime like by gender, by region, by um, 243 00:14:43,280 --> 00:14:45,680 Speaker 1: by age, and then they can say, all right, what 244 00:14:45,720 --> 00:14:48,720 Speaker 1: can we do to make these people happier? What's lacking? 245 00:14:48,800 --> 00:14:52,800 Speaker 1: You see what I'm saying. It's it's I don't I hate. 246 00:14:52,840 --> 00:14:54,560 Speaker 1: I hesitate to use the word crazy because I don't 247 00:14:54,560 --> 00:14:58,680 Speaker 1: want anyone to get the impression that I'm I'm casting 248 00:14:58,680 --> 00:15:04,520 Speaker 1: any doubt or dispersion on it. This is crazy, is yeah, Well, 249 00:15:04,600 --> 00:15:07,640 Speaker 1: especially considering where they are. I mentioned the poverty line 250 00:15:07,720 --> 00:15:11,840 Speaker 1: or you did of their country lives below the poverty line, right, 251 00:15:12,320 --> 00:15:15,240 Speaker 1: but in a Buddhist country, that doesn't necessarily mean these 252 00:15:15,280 --> 00:15:17,560 Speaker 1: people are unhappy. Well no, because they only have an 253 00:15:17,600 --> 00:15:21,440 Speaker 1: unemployment rate of two point five, so the material is 254 00:15:21,440 --> 00:15:25,800 Speaker 1: not that important. They're working, and I saw there They're 255 00:15:25,840 --> 00:15:29,840 Speaker 1: big exports are there in Their industrial exports are cement, 256 00:15:30,440 --> 00:15:33,600 Speaker 1: that's like their biggest industrial exports, and then wood products 257 00:15:33,600 --> 00:15:35,760 Speaker 1: and then agriculture is their big deal with rice and 258 00:15:35,800 --> 00:15:37,920 Speaker 1: corn and stuff like that. Okay, so what we've just 259 00:15:37,960 --> 00:15:42,560 Speaker 1: talked about is that they have a thirties something percent 260 00:15:44,400 --> 00:15:46,880 Speaker 1: live below the poverty line. But it's a Buddhist country, 261 00:15:47,040 --> 00:15:49,360 Speaker 1: so they're big into the rejection of materialism, so that 262 00:15:49,360 --> 00:15:51,680 Speaker 1: doesn't really matter or does it. One of the other 263 00:15:51,760 --> 00:15:54,480 Speaker 1: things that the Gross National Happiness model that they've come 264 00:15:54,560 --> 00:15:57,840 Speaker 1: up with serves as is a is a a framework 265 00:15:57,840 --> 00:16:01,480 Speaker 1: for accountability for the government, right for the government's like, well, 266 00:16:01,560 --> 00:16:04,840 Speaker 1: we just all reject materialism, so um, you know, it 267 00:16:04,880 --> 00:16:08,000 Speaker 1: doesn't matter if you're below the poverty line. If they 268 00:16:08,160 --> 00:16:11,360 Speaker 1: enough people start self reporting that they're actually unhappy, and 269 00:16:11,400 --> 00:16:13,520 Speaker 1: all these people happen to be falling below the poverty 270 00:16:13,560 --> 00:16:17,880 Speaker 1: line that's published for you know, Buddha and everybody to see, 271 00:16:18,360 --> 00:16:19,680 Speaker 1: and then all of a sudden you can point to 272 00:16:19,720 --> 00:16:21,880 Speaker 1: the government like, you guys are wrong, you're making some 273 00:16:22,040 --> 00:16:24,400 Speaker 1: incorrect assumptions, and we need to fix this over here 274 00:16:24,680 --> 00:16:28,440 Speaker 1: by making more money. If that's yeah, yeah, because if 275 00:16:28,440 --> 00:16:33,320 Speaker 1: you're dedicated to the happiness collectively and individually of your population, 276 00:16:33,600 --> 00:16:35,960 Speaker 1: then yes, it's going to turn up on this gross 277 00:16:36,040 --> 00:16:41,280 Speaker 1: National Happiness um economic indicator or indicator, and uh, it's 278 00:16:41,320 --> 00:16:43,520 Speaker 1: gonna need to be fixed or else you've just been 279 00:16:43,560 --> 00:16:47,720 Speaker 1: blowing smoke up everybody's Uh, you know what their real 280 00:16:47,760 --> 00:16:50,680 Speaker 1: GDP was? Actually I checked that out per capita. What 281 00:16:50,720 --> 00:16:54,800 Speaker 1: would you guess if America is forty six and change, 282 00:16:55,240 --> 00:16:56,920 Speaker 1: what would you think it would be there in Bhuddan 283 00:16:57,320 --> 00:17:03,440 Speaker 1: three dollars per year, Yeah, five thousand two d okay 284 00:17:03,480 --> 00:17:06,160 Speaker 1: per capita GDP. I can see that. So they still 285 00:17:06,200 --> 00:17:08,960 Speaker 1: I guess that's a world fact that you have to have. 286 00:17:09,000 --> 00:17:12,560 Speaker 1: They still have the GDP. Right, that's an excellent point, Chuck. 287 00:17:12,640 --> 00:17:15,879 Speaker 1: The reason that they they instituted gross national Happiness is 288 00:17:15,920 --> 00:17:18,359 Speaker 1: because they I think the leaders kind of saw the 289 00:17:18,400 --> 00:17:21,320 Speaker 1: writing on the wall, like, you you can only remain 290 00:17:21,560 --> 00:17:23,520 Speaker 1: shut off for so long. And this is very much 291 00:17:23,520 --> 00:17:25,400 Speaker 1: a shut off kingdom. It's high up in the mountains 292 00:17:25,400 --> 00:17:28,480 Speaker 1: between China and India, and they have yes very much, 293 00:17:28,480 --> 00:17:32,200 Speaker 1: so they've isolated themselves. But the internet came in two 294 00:17:32,200 --> 00:17:36,520 Speaker 1: thousand one, TV showed up in and it brought with 295 00:17:36,560 --> 00:17:40,360 Speaker 1: it these Western influences. So what the leaders said, rather 296 00:17:40,400 --> 00:17:44,040 Speaker 1: than you can't have TV, you can't have internet, they said, okay, 297 00:17:44,320 --> 00:17:47,080 Speaker 1: we'll we'll enter the world stage, but we're gonna do 298 00:17:47,119 --> 00:17:49,480 Speaker 1: it on our own terms. And this is this is 299 00:17:49,480 --> 00:17:52,240 Speaker 1: how we're going to applaud it. So let's get to 300 00:17:52,280 --> 00:17:56,399 Speaker 1: the point there, chuckers as to whether or not Bhutan's 301 00:17:56,480 --> 00:17:59,600 Speaker 1: actually onto something like there there's this is an age 302 00:17:59,640 --> 00:18:04,640 Speaker 1: old question like is money more important than happiness. Can 303 00:18:04,680 --> 00:18:09,320 Speaker 1: money buy happiness? Let's talk about some some studies, not 304 00:18:09,359 --> 00:18:12,399 Speaker 1: necessarily once conducted in Bhutan, but just in general, like 305 00:18:12,440 --> 00:18:16,119 Speaker 1: does money provide happiness? I think if you were just 306 00:18:16,160 --> 00:18:20,080 Speaker 1: to talk about Bhutan now, you'd be uh, you'd find 307 00:18:20,080 --> 00:18:22,720 Speaker 1: out pretty quick that five thousand, two hundred dollars a 308 00:18:22,800 --> 00:18:26,480 Speaker 1: year that they is their GDP. They're probably pretty happy. 309 00:18:26,680 --> 00:18:28,600 Speaker 1: And if you talk to your average American they might 310 00:18:28,600 --> 00:18:30,959 Speaker 1: not be as happy. That's just a guess, agreed. But 311 00:18:31,080 --> 00:18:34,720 Speaker 1: the g n H will turn that up sure eventually, right, 312 00:18:34,840 --> 00:18:37,880 Speaker 1: they'll they'll turn the frown upside down. Right, Actually, check 313 00:18:38,000 --> 00:18:42,320 Speaker 1: the boutanies. Census takers aren't the only people who go 314 00:18:42,359 --> 00:18:45,240 Speaker 1: around asking people if they're happy. I know you're talking 315 00:18:45,240 --> 00:18:47,560 Speaker 1: about who am I talking about? The World Value Survey? 316 00:18:47,640 --> 00:18:50,399 Speaker 1: That's right. Um, they ask people how happy they are, 317 00:18:50,440 --> 00:18:53,000 Speaker 1: and they've been doing it for a long time since actually, 318 00:18:53,280 --> 00:18:56,960 Speaker 1: and they usually ask about three fifty thousand people, uh 319 00:18:57,000 --> 00:19:00,639 Speaker 1: in ninety seven countries. And they asked too much country. 320 00:19:00,680 --> 00:19:06,760 Speaker 1: They asked that many their whole um survey populations. Um. 321 00:19:06,880 --> 00:19:11,240 Speaker 1: They they asked two questions. You ready, taking all things together, 322 00:19:11,320 --> 00:19:13,920 Speaker 1: would you say you are very happy? Rather happy, not 323 00:19:14,040 --> 00:19:18,439 Speaker 1: very happy, not at all happy. That's one question. And 324 00:19:18,480 --> 00:19:21,760 Speaker 1: then secondly, all things considered, how satisfied are you with 325 00:19:21,840 --> 00:19:23,720 Speaker 1: your life as a whole these days? And that's it 326 00:19:23,800 --> 00:19:26,360 Speaker 1: to two questions survey, right, and then they ranked countries. 327 00:19:26,480 --> 00:19:29,119 Speaker 1: In two thousand and eight, the happiest country on the 328 00:19:29,160 --> 00:19:32,280 Speaker 1: planet was Denmark. I could, I could believe that the 329 00:19:32,400 --> 00:19:36,760 Speaker 1: US ranks six, right, but if you look according at 330 00:19:36,760 --> 00:19:39,159 Speaker 1: the CIA, if you look at um per capita g 331 00:19:39,240 --> 00:19:44,160 Speaker 1: d P, the US was I think number eight, number five, 332 00:19:44,200 --> 00:19:46,359 Speaker 1: and another number eight in two thousand and eight, and 333 00:19:48,400 --> 00:19:51,919 Speaker 1: then Denmark was number thirty. So they're the happiest country, 334 00:19:51,920 --> 00:19:53,640 Speaker 1: but they don't make nearly as much money as the US. 335 00:19:53,960 --> 00:19:58,840 Speaker 1: No correlation there, but not necessarily. There's a lot of 336 00:19:58,880 --> 00:20:04,199 Speaker 1: criticism of the World Value Survey um number one. Somebody 337 00:20:04,240 --> 00:20:08,240 Speaker 1: pointed out number one, uh that you how do you 338 00:20:08,320 --> 00:20:11,600 Speaker 1: translate happiness from we? We? You and I can't even 339 00:20:11,640 --> 00:20:16,520 Speaker 1: describe what real happiness is? Necessarily we could possibly anecdotally, 340 00:20:16,600 --> 00:20:20,679 Speaker 1: but it's so subjective. Number one, How can you and I, 341 00:20:20,760 --> 00:20:24,280 Speaker 1: who have so much in common, not established what happiness is? 342 00:20:24,680 --> 00:20:27,359 Speaker 1: That that you can also spread it out over ninety 343 00:20:27,440 --> 00:20:30,399 Speaker 1: seven countries and all these different societies and groups within it. 344 00:20:30,800 --> 00:20:34,720 Speaker 1: So that's that's number one. Um number two. I read 345 00:20:34,760 --> 00:20:37,600 Speaker 1: an article that pointed out that, yeah, Denmark um is 346 00:20:37,640 --> 00:20:40,119 Speaker 1: the happiest country in the world. It also leads the 347 00:20:40,160 --> 00:20:45,600 Speaker 1: world in per capita alcoholism and suicide. Really, yeah, I 348 00:20:45,680 --> 00:20:52,080 Speaker 1: understand the alcohol part. Yeah, suicide, No, it doesn't, So, Chuck, 349 00:20:52,640 --> 00:20:57,200 Speaker 1: it's becoming evident. Just what a responsibility, what a task 350 00:20:57,640 --> 00:21:00,879 Speaker 1: Bhutan is taking on its own shoulders, isn't it. I mean, like, 351 00:21:00,960 --> 00:21:03,760 Speaker 1: happiness is really tough to quantify, and they've done a 352 00:21:03,800 --> 00:21:06,520 Speaker 1: great job trying to figure that out. But yeah, I 353 00:21:06,560 --> 00:21:08,399 Speaker 1: know they do the studies, and you pointed one in 354 00:21:08,440 --> 00:21:12,520 Speaker 1: your article, your fine, fine article about didn't I thought 355 00:21:12,560 --> 00:21:18,080 Speaker 1: it was okay? Uh about um? They always study lottery winners. Yes, 356 00:21:18,200 --> 00:21:20,719 Speaker 1: I love this, and they always compare them to amputees, 357 00:21:20,760 --> 00:21:22,760 Speaker 1: which I just I find odds. No, it was just 358 00:21:22,800 --> 00:21:25,159 Speaker 1: a very famous one that started it. Is that what 359 00:21:25,200 --> 00:21:28,479 Speaker 1: it is, it's like, is happiness relative? Well, and then 360 00:21:28,520 --> 00:21:32,320 Speaker 1: what do they find out that after the initial joy 361 00:21:32,359 --> 00:21:34,640 Speaker 1: of the lottery war off the people kind of generally, 362 00:21:34,880 --> 00:21:37,440 Speaker 1: and the same with the ampute they generally go back 363 00:21:37,480 --> 00:21:39,119 Speaker 1: to where they were before. Yeah, if you look at 364 00:21:39,119 --> 00:21:42,000 Speaker 1: it as like a line of horizontal line. Uh, and 365 00:21:42,080 --> 00:21:44,359 Speaker 1: the event happens at the same time. Somebody loses their 366 00:21:44,440 --> 00:21:47,320 Speaker 1: leg and another person loses their wins the lottery. The 367 00:21:47,359 --> 00:21:50,040 Speaker 1: lottery winner goes up, the ampute goes down. But after 368 00:21:50,119 --> 00:21:52,879 Speaker 1: three years they both go back to that same line, 369 00:21:53,640 --> 00:21:56,680 Speaker 1: which is kind of startling if you think about it. Yeah, 370 00:21:56,680 --> 00:21:58,800 Speaker 1: and you also made the point about money, which I 371 00:21:58,800 --> 00:22:02,600 Speaker 1: thought was a really good point. Is dichotomous. So money 372 00:22:02,680 --> 00:22:06,200 Speaker 1: can bring many things. Money can bring happiness and cool 373 00:22:06,200 --> 00:22:10,200 Speaker 1: stuff and security, and it can also, uh be the 374 00:22:10,200 --> 00:22:12,400 Speaker 1: the evil in your life. It can be I mean 375 00:22:12,720 --> 00:22:15,800 Speaker 1: that that security. You've got financial security, but maybe you're 376 00:22:15,840 --> 00:22:18,639 Speaker 1: a little more worried that you're you know, house is 377 00:22:18,640 --> 00:22:22,160 Speaker 1: going to be invaded, right for during a robbery or something. Yeah. 378 00:22:22,440 --> 00:22:25,600 Speaker 1: The point with pursuing happiness that I think the Boutanees 379 00:22:25,680 --> 00:22:31,520 Speaker 1: are hip on is that happiness only brings happiness. Good point. Um. 380 00:22:31,560 --> 00:22:33,879 Speaker 1: There was another study by a couple of guys from 381 00:22:33,920 --> 00:22:39,240 Speaker 1: Princeton at all um and Uh they basically use something 382 00:22:39,400 --> 00:22:44,199 Speaker 1: called day reconstruction method, which is self reporting. But you know, 383 00:22:44,320 --> 00:22:47,520 Speaker 1: self reporting it flies in the soft social sciences. But 384 00:22:47,560 --> 00:22:51,199 Speaker 1: that's about it. Um. But basically they asked people to, 385 00:22:51,560 --> 00:22:55,480 Speaker 1: um write down their experiences that from the previous day. 386 00:22:55,760 --> 00:22:57,880 Speaker 1: I can do that over a set period of time, right, 387 00:22:58,040 --> 00:23:00,480 Speaker 1: I'd love to see mine from like yesterday, that'd be great. 388 00:23:00,480 --> 00:23:02,359 Speaker 1: Oh yeah, we're in a bad mood yesterday. No, just 389 00:23:02,480 --> 00:23:05,440 Speaker 1: were you drunk? No, they wanted their charting your mood 390 00:23:05,520 --> 00:23:08,560 Speaker 1: or what you did and how it correspondents. I think both. Yeah, 391 00:23:08,600 --> 00:23:11,640 Speaker 1: i'd left. We should do that. You want there, No, 392 00:23:11,720 --> 00:23:16,240 Speaker 1: I don't either. Um. What these guys found was that 393 00:23:16,480 --> 00:23:19,640 Speaker 1: when you when you ask people to report on their 394 00:23:19,640 --> 00:23:23,440 Speaker 1: mood right as it happens or the day after it's happened, 395 00:23:23,720 --> 00:23:26,760 Speaker 1: and then you evaluated by income, they found that actually 396 00:23:27,040 --> 00:23:33,080 Speaker 1: money did, indeed, um bring happiness to a certain extent, right, Right. 397 00:23:33,320 --> 00:23:35,760 Speaker 1: So the point is is, I think people who made 398 00:23:35,840 --> 00:23:40,280 Speaker 1: under twenty thousand dollars a year are actually less happy 399 00:23:40,400 --> 00:23:44,560 Speaker 1: than people who make a hundred thousand or more. Okay, 400 00:23:43,960 --> 00:23:46,280 Speaker 1: that's kind of a no brainer to think about it. 401 00:23:46,320 --> 00:23:48,280 Speaker 1: It rans in the strife and struggle you're you have 402 00:23:48,400 --> 00:23:52,360 Speaker 1: in your daily life. If you're making that's what it lasts. Right. Yeah. 403 00:23:52,880 --> 00:23:55,800 Speaker 1: Even happy people, I think can be beaten down by finances. 404 00:23:56,359 --> 00:24:00,879 Speaker 1: Generally happy people. Sure, yeah, um, but the the uh, 405 00:24:01,200 --> 00:24:03,879 Speaker 1: what they did find was that when you get to 406 00:24:04,040 --> 00:24:08,479 Speaker 1: a fifty thousand to eighty nine thousand, that segment was 407 00:24:08,680 --> 00:24:12,520 Speaker 1: virtually identical people who made over a hundred thousand, which 408 00:24:12,560 --> 00:24:15,439 Speaker 1: is kind of significant because there's a there's a substantial 409 00:24:15,440 --> 00:24:18,040 Speaker 1: difference between fifty thousand and a hundred thousand. So what 410 00:24:18,040 --> 00:24:22,119 Speaker 1: what they've concluded is that money does bring happiness to 411 00:24:22,119 --> 00:24:26,840 Speaker 1: a certain extent by possibly by satisfying um our needs. 412 00:24:27,320 --> 00:24:30,520 Speaker 1: But after that it loses a lot of its value 413 00:24:30,600 --> 00:24:33,120 Speaker 1: or a lot of the happiness that can bring once 414 00:24:33,119 --> 00:24:35,920 Speaker 1: it reaches a certain point, once those needs are satisfied. Yeah. 415 00:24:36,000 --> 00:24:37,680 Speaker 1: You know, when I worked in l A, I worked 416 00:24:37,680 --> 00:24:39,960 Speaker 1: with a lot of rich people, obviously in the film industry, 417 00:24:40,680 --> 00:24:43,720 Speaker 1: and it never really hit home to me until I 418 00:24:43,840 --> 00:24:46,920 Speaker 1: left that I was always jealous of the amount of money, 419 00:24:46,920 --> 00:24:49,800 Speaker 1: Like these commercial directors have make insane amounts of money, 420 00:24:50,280 --> 00:24:54,560 Speaker 1: like twenty tho dollars a day for their stupid TV commercials. 421 00:24:54,880 --> 00:24:57,560 Speaker 1: I'm unimpressed because you've already told me that. Yeah, it's 422 00:24:57,480 --> 00:25:00,400 Speaker 1: just amazing how much money they make. But you you 423 00:25:00,440 --> 00:25:04,320 Speaker 1: grow your lifestyle to fit your salary to a large degree. 424 00:25:04,560 --> 00:25:07,960 Speaker 1: Not always, my friend, you were talking about the hedonic treadmill. 425 00:25:08,680 --> 00:25:12,560 Speaker 1: So basically, they're uh, come on, have you heard those 426 00:25:12,560 --> 00:25:15,920 Speaker 1: two words put together before? Yeah, all the time. Don't 427 00:25:15,960 --> 00:25:20,320 Speaker 1: you see my T shirt? It's so yeah, that's right there, 428 00:25:19,640 --> 00:25:24,440 Speaker 1: silly drawing. I thought so too. Um. You grow to 429 00:25:24,480 --> 00:25:27,600 Speaker 1: fit your your your your lifestyle grows to fit your salary. 430 00:25:27,720 --> 00:25:30,600 Speaker 1: So if you make twenty dollars a day, your expenses, 431 00:25:31,520 --> 00:25:34,640 Speaker 1: or let's say thirty dollars a month, your expenses are 432 00:25:34,640 --> 00:25:37,399 Speaker 1: gonna be you know, they're gonna match that. I'm not 433 00:25:37,440 --> 00:25:39,600 Speaker 1: saying this, Well, no, I know what you mean. Let's 434 00:25:39,600 --> 00:25:42,600 Speaker 1: say uh, let's say an example. I've read in an 435 00:25:42,680 --> 00:25:46,720 Speaker 1: article from the San Diego Union Tribune, a sterling article 436 00:25:46,800 --> 00:25:51,160 Speaker 1: actually on happiness. It's called pursuing happiness. Um. This guy 437 00:25:51,240 --> 00:25:54,679 Speaker 1: makes the example of um winning the lottery and moving 438 00:25:54,760 --> 00:25:58,000 Speaker 1: to uh Rancho Santa Fe, which I take is one 439 00:25:58,040 --> 00:26:01,000 Speaker 1: of the nicer suburbs in San Diego. I guess okay. Uh. 440 00:26:01,040 --> 00:26:03,040 Speaker 1: He says that when you do that, you go from 441 00:26:03,080 --> 00:26:06,120 Speaker 1: the how did I get this lucky type of happiness 442 00:26:06,160 --> 00:26:10,200 Speaker 1: to living among similar wealth, so it becomes your normal 443 00:26:10,240 --> 00:26:15,600 Speaker 1: everyday life wears off another argumentum against money bringing happiness 444 00:26:15,840 --> 00:26:18,920 Speaker 1: is that a lot of times it leads to um 445 00:26:19,080 --> 00:26:23,600 Speaker 1: poor choices. Apparently about forty of our happiness if you 446 00:26:23,600 --> 00:26:26,480 Speaker 1: look at it in a pie graph. Um ten percent 447 00:26:26,680 --> 00:26:32,879 Speaker 1: is life circumstances, fifty is um jenes genetic, they believe, 448 00:26:33,280 --> 00:26:36,840 Speaker 1: And then is our our choices that the happiness or 449 00:26:36,880 --> 00:26:39,520 Speaker 1: unhappiness or choices bring us. And one of the points 450 00:26:39,600 --> 00:26:44,400 Speaker 1: is like, okay, let's say, um, commuting is almost across 451 00:26:44,440 --> 00:26:47,000 Speaker 1: the board like one of our least favorite things to 452 00:26:47,040 --> 00:26:51,119 Speaker 1: do as human beings. Right, Um, But you make a 453 00:26:51,119 --> 00:26:53,520 Speaker 1: bunch more money, so you move out to the suburbs 454 00:26:53,760 --> 00:26:55,919 Speaker 1: in a into a bigger house. But you've also just 455 00:26:55,960 --> 00:26:58,520 Speaker 1: doubled or tripled your commute. But then you buy the 456 00:26:58,560 --> 00:27:01,880 Speaker 1: BMW seven series, see your drive as a lot sweeter. 457 00:27:02,320 --> 00:27:06,480 Speaker 1: But then it costs for the tune up. Sure, it's all, 458 00:27:06,640 --> 00:27:09,040 Speaker 1: it's all. It's all comes out in the wash. You know. 459 00:27:09,880 --> 00:27:12,880 Speaker 1: The point I think that you and I are inevitably 460 00:27:13,240 --> 00:27:19,199 Speaker 1: going towards stumbling, towards faltering um is that you just 461 00:27:19,200 --> 00:27:23,160 Speaker 1: shouldn't take money quite so seriously, that's good. I find 462 00:27:23,160 --> 00:27:24,879 Speaker 1: it interesting. And we've set up a thing in this 463 00:27:24,920 --> 00:27:28,200 Speaker 1: country where you can never go backward. It's all about 464 00:27:28,240 --> 00:27:31,320 Speaker 1: going forward with the Peter principle. Yeah, well with money 465 00:27:31,320 --> 00:27:34,320 Speaker 1: though too, Like when um like in a divorce case, 466 00:27:35,400 --> 00:27:37,960 Speaker 1: you always hear the whether it's a husband or the 467 00:27:37,960 --> 00:27:41,240 Speaker 1: wife that's rich and the one that's asking for the 468 00:27:41,320 --> 00:27:44,720 Speaker 1: spousal support. The point has always made while I've got 469 00:27:44,720 --> 00:27:47,760 Speaker 1: this lifestyle now and then I need to get the 470 00:27:48,040 --> 00:27:50,320 Speaker 1: forty dollars a month from you to to stay at 471 00:27:50,359 --> 00:27:54,040 Speaker 1: this lifestyle. The thought of going back is just unthinkable 472 00:27:54,040 --> 00:27:56,920 Speaker 1: in this country. It is money wise, if you think 473 00:27:56,920 --> 00:28:00,760 Speaker 1: about it. Stockbrokers don't don't um tend to throw themselves 474 00:28:00,800 --> 00:28:02,879 Speaker 1: out of windows when they make a bunch of money. 475 00:28:03,400 --> 00:28:05,880 Speaker 1: It's only when they lose it. Right. But I'm I mean, 476 00:28:05,920 --> 00:28:09,160 Speaker 1: that's that's drastic. But you think why, I mean, why 477 00:28:09,200 --> 00:28:11,560 Speaker 1: can't you just you know, all right, I'm gonna take 478 00:28:11,560 --> 00:28:13,919 Speaker 1: a job that pays less and I'm gonna have a 479 00:28:13,920 --> 00:28:16,080 Speaker 1: little less. Some people make this choice, you know what 480 00:28:16,160 --> 00:28:18,439 Speaker 1: I think some people do, and I would like to 481 00:28:18,480 --> 00:28:22,520 Speaker 1: hear from them, anybody who's made that decision right us 482 00:28:22,600 --> 00:28:26,520 Speaker 1: and tell us are you happy and what you did? 483 00:28:26,640 --> 00:28:29,720 Speaker 1: But the courts support it with that divorce thing. They think, well, 484 00:28:29,760 --> 00:28:33,360 Speaker 1: now you've got this lifestyle and you must stay at 485 00:28:33,359 --> 00:28:36,639 Speaker 1: that level. You cannot drop your lifestyle whatsoever. Right, And 486 00:28:36,680 --> 00:28:40,880 Speaker 1: that is that definitely does UM underscore or that social 487 00:28:40,880 --> 00:28:45,360 Speaker 1: agreement that materialism is what we're into. Yeah, yeah, well, uh, 488 00:28:45,440 --> 00:28:48,400 Speaker 1: let's see, since I said materialism is what we're into, 489 00:28:48,480 --> 00:28:51,560 Speaker 1: that means that I should tell you to go to 490 00:28:51,920 --> 00:28:54,520 Speaker 1: how stuff works dot com. You can type in gross 491 00:28:54,600 --> 00:28:57,040 Speaker 1: national happiness in our handy search bar, and you might 492 00:28:57,080 --> 00:28:59,400 Speaker 1: also want to read another article on the site. UM 493 00:28:59,560 --> 00:29:04,240 Speaker 1: can any by happiness, right, which means what chuck? Actually, 494 00:29:04,280 --> 00:29:06,040 Speaker 1: I got just one more quick thing. You know, there 495 00:29:06,120 --> 00:29:09,560 Speaker 1: was an earthquake totally. There was an earthquake in Bhutan 496 00:29:09,640 --> 00:29:11,880 Speaker 1: on Monday. Did you know that. I didn't. Yeah, everybody, okay, 497 00:29:11,960 --> 00:29:15,360 Speaker 1: six point three they've twelve people at least are dead 498 00:29:16,040 --> 00:29:19,480 Speaker 1: and wrecked a bunch of you know, ancient monasteries and yeah, 499 00:29:19,480 --> 00:29:21,760 Speaker 1: which are like built on the mountain side. Yeah, so 500 00:29:21,760 --> 00:29:24,240 Speaker 1: I imagine they came tumbling down. Just very sad. Yeah, 501 00:29:24,280 --> 00:29:27,080 Speaker 1: that is sad. So I just want to say, hello, 502 00:29:27,240 --> 00:29:29,560 Speaker 1: if we have any fans in Bhuton. We might have 503 00:29:29,560 --> 00:29:33,320 Speaker 1: one fan of Bhutan. Yeah, the internet, it is all right? 504 00:29:33,400 --> 00:29:36,560 Speaker 1: Well with that sad news. I guess it's time for 505 00:29:36,560 --> 00:29:41,479 Speaker 1: a listener mail. It is listener mail Josh. And this 506 00:29:41,600 --> 00:29:44,840 Speaker 1: is uh just a couple of quick shoutouts. This came 507 00:29:44,880 --> 00:29:47,200 Speaker 1: from Amelia and Jerry thought it was a good idea 508 00:29:47,240 --> 00:29:49,960 Speaker 1: to plug it, so we will. Um. It's a website 509 00:29:49,960 --> 00:29:53,800 Speaker 1: called free rice dot com. And apparently what you do 510 00:29:53,880 --> 00:29:56,800 Speaker 1: there is you go online at this website and you 511 00:29:56,880 --> 00:30:00,360 Speaker 1: answer vocabulary questions and it's like a game. You play 512 00:30:00,400 --> 00:30:03,400 Speaker 1: these games where you answer tribute questions and uh participate 513 00:30:03,480 --> 00:30:06,320 Speaker 1: and when you get these questions right, they donate rice 514 00:30:06,880 --> 00:30:09,120 Speaker 1: to the needy around the world. So it's like a 515 00:30:09,120 --> 00:30:12,720 Speaker 1: little interactive way I guess of getting people involved and uh, 516 00:30:12,920 --> 00:30:17,600 Speaker 1: ten grains of rice per correct answer. And um, the 517 00:30:17,640 --> 00:30:20,320 Speaker 1: website today said over sixty eight billion grains of rice 518 00:30:20,320 --> 00:30:23,240 Speaker 1: have been donated today. Do you imagine the poor slob 519 00:30:23,320 --> 00:30:25,479 Speaker 1: whose job it is to count out every single one 520 00:30:25,520 --> 00:30:30,280 Speaker 1: of those grains? May be symbolic, maybe not, do you 521 00:30:30,320 --> 00:30:35,160 Speaker 1: think now you're you're staring blankly. So thanks Amelia for that, 522 00:30:35,240 --> 00:30:37,560 Speaker 1: and that is a worthy cause indeed. And then I 523 00:30:37,600 --> 00:30:40,080 Speaker 1: wanted to give a special shout out to Ben, our 524 00:30:40,120 --> 00:30:44,720 Speaker 1: listener from the University of Wisconsin at Madison. Ben and 525 00:30:44,720 --> 00:30:47,640 Speaker 1: I've been writing. He, at the age of twenty, was 526 00:30:47,680 --> 00:30:51,040 Speaker 1: diagnosed with a form of lukemi that I cannot pronounce. 527 00:30:51,480 --> 00:30:55,000 Speaker 1: He said, it's evidently the good kind, even though after 528 00:30:55,160 --> 00:30:57,680 Speaker 1: hearing what he's been going through, it didn't sound like it. Uh. 529 00:30:57,720 --> 00:30:59,960 Speaker 1: They were gonna have a bone marrow transplant for Ben, 530 00:31:00,640 --> 00:31:03,440 Speaker 1: but they could not find a match in eleven million 531 00:31:04,040 --> 00:31:08,840 Speaker 1: person database, and so he has been approved. His chemotherapy 532 00:31:09,000 --> 00:31:12,160 Speaker 1: um sorry, radiation worked and he's going to have an 533 00:31:12,240 --> 00:31:16,640 Speaker 1: umbilical cord blood transplant. And he's been traveling I think 534 00:31:16,640 --> 00:31:19,360 Speaker 1: he said something like eighty miles each way every day 535 00:31:19,400 --> 00:31:22,240 Speaker 1: for like a two minute radiation. And he's been listening 536 00:31:22,240 --> 00:31:24,600 Speaker 1: to our podcast, which is why he wrote in and 537 00:31:24,640 --> 00:31:27,040 Speaker 1: that's been helping him out. And we just and Ben's 538 00:31:27,040 --> 00:31:30,240 Speaker 1: a really cool guy, dude. His attitude is like leaps 539 00:31:30,240 --> 00:31:34,280 Speaker 1: and bounds ahead of ours. His outlook on life isn't. Yeah. 540 00:31:34,480 --> 00:31:36,680 Speaker 1: It was one of those perspective shots where Ben is 541 00:31:36,720 --> 00:31:38,240 Speaker 1: just and he's like, oh, man, don't feel bad for me, 542 00:31:38,240 --> 00:31:40,000 Speaker 1: because I told him I felt really awful about it. 543 00:31:40,400 --> 00:31:42,840 Speaker 1: He said, you know, I didn't picture this is my life, 544 00:31:42,840 --> 00:31:45,040 Speaker 1: but it's what I've been dealt and I'm dealing with 545 00:31:45,080 --> 00:31:49,080 Speaker 1: it and everything's everything's gonna be okay. And uh so 546 00:31:49,200 --> 00:31:51,959 Speaker 1: he was a proof for the Uh he was admitted 547 00:31:52,000 --> 00:31:56,360 Speaker 1: last Wednesday for the transplant and it's a six week 548 00:31:56,400 --> 00:31:59,840 Speaker 1: hospital stay and then a two year recovery period. And 549 00:32:00,000 --> 00:32:02,040 Speaker 1: and he said that, uh, the one thing that he's 550 00:32:02,080 --> 00:32:06,479 Speaker 1: loved as our podcast and hydromorphone he's become fond of, 551 00:32:06,640 --> 00:32:10,200 Speaker 1: which is uh what the pain killer they've been giving him? Okay, 552 00:32:10,360 --> 00:32:12,440 Speaker 1: And he said that he found out later heroin addics 553 00:32:12,560 --> 00:32:15,280 Speaker 1: use it as a substitute because has similar effects. Heroin 554 00:32:15,320 --> 00:32:19,320 Speaker 1: addicts will use anything as a substitute. Sure, and so Ben, 555 00:32:19,640 --> 00:32:22,200 Speaker 1: we hope you're well. I hope you're listening. Our thoughts 556 00:32:22,200 --> 00:32:24,920 Speaker 1: are with you obviously and calling for you. Please keep 557 00:32:24,960 --> 00:32:27,680 Speaker 1: us posted. Huh yeah, he will cool. Will you keep 558 00:32:27,680 --> 00:32:29,960 Speaker 1: me posted? Will you? I will? You kind of have 559 00:32:30,080 --> 00:32:32,760 Speaker 1: a lockdown on the information that comes in. I do 560 00:32:32,840 --> 00:32:37,080 Speaker 1: I control the information. Remember, we want to hear from 561 00:32:37,120 --> 00:32:39,440 Speaker 1: you if you decided to take a giant step backward 562 00:32:39,480 --> 00:32:43,080 Speaker 1: out of the rat race and um, how your life's going. 563 00:32:43,960 --> 00:32:47,520 Speaker 1: You can send us an email to Stuff Podcast at 564 00:32:47,520 --> 00:32:54,640 Speaker 1: how stuff works dot com For more on this and 565 00:32:54,720 --> 00:32:58,160 Speaker 1: thousands of other topics. Does it How stuff works dot Com. 566 00:32:58,360 --> 00:33:01,120 Speaker 1: Want more how stuff works, check out our blogs on 567 00:33:01,200 --> 00:33:06,200 Speaker 1: the House of works dot com home page. Brought to 568 00:33:06,280 --> 00:33:09,360 Speaker 1: you by the reinvented two thousand twelve camera. It's ready, 569 00:33:09,560 --> 00:33:09,920 Speaker 1: are you