1 00:00:00,280 --> 00:00:02,840 Speaker 1: Brought to you by the reinvented two thousand twelve camera. 2 00:00:03,160 --> 00:00:07,600 Speaker 1: It's ready. Are you welcome to Stuff You Should Know? 3 00:00:08,160 --> 00:00:12,080 Speaker 1: From House Stuff Works dot com. This podcast is brought 4 00:00:12,160 --> 00:00:15,320 Speaker 1: to you by audible dot com, the Internet's leading provider 5 00:00:15,360 --> 00:00:19,160 Speaker 1: of spoken word entertainment. Get a free audio book download 6 00:00:19,200 --> 00:00:22,279 Speaker 1: of your choice when you sign up today. Welcome to 7 00:00:22,640 --> 00:00:28,800 Speaker 1: audible podcast dot com. Slash stuff today for details. Hey, 8 00:00:28,880 --> 00:00:32,080 Speaker 1: and welcome to the podcast. I'm Josh Clark. With me 9 00:00:32,240 --> 00:00:35,200 Speaker 1: is Chuckles Bryant. How's it going, Chuck? I was chuckling. Yeah, 10 00:00:35,200 --> 00:00:37,120 Speaker 1: I think that might have gotten caught. Yeah. I think 11 00:00:37,159 --> 00:00:41,000 Speaker 1: that was an afropo nickname. Yeah, Jerry's funny like then 12 00:00:42,479 --> 00:00:46,400 Speaker 1: she made me laugh. I know. Let's let's let's let's 13 00:00:46,400 --> 00:00:49,040 Speaker 1: do this show. Yes, where's your awesome set up? My 14 00:00:49,080 --> 00:00:53,440 Speaker 1: awesome setup is as follows. Chuck, are you do you 15 00:00:53,440 --> 00:00:56,720 Speaker 1: consider yourself a happy person? Yes? I do? Well, then Chuck, 16 00:00:56,760 --> 00:01:01,480 Speaker 1: you may be dumb? Really yeah? How so Well? There's 17 00:01:01,520 --> 00:01:05,240 Speaker 1: this longstanding question of whether or not there's a negative 18 00:01:05,319 --> 00:01:10,120 Speaker 1: correlation between intelligence and happiness. Take one Ernest Hemingway. He 19 00:01:10,200 --> 00:01:12,760 Speaker 1: said something along the lines of, oh, I don't know, 20 00:01:13,000 --> 00:01:15,800 Speaker 1: happiness and intelligent people is the rarest thing I know. 21 00:01:16,880 --> 00:01:20,399 Speaker 1: I went up you, Oh drink buddy. Charles de gall 22 00:01:20,480 --> 00:01:24,679 Speaker 1: reportedly said happy people are idiots? Did he really? And 23 00:01:24,720 --> 00:01:27,240 Speaker 1: I don't know if he meant the medical classification of 24 00:01:27,360 --> 00:01:30,320 Speaker 1: days gone by idiots. I think he just meant, you know, 25 00:01:30,520 --> 00:01:33,600 Speaker 1: idiots mouth breathers. I've got one that's going to even 26 00:01:33,640 --> 00:01:37,800 Speaker 1: top your Charles de gall One. Okay, Charlton Heston said 27 00:01:38,040 --> 00:01:42,480 Speaker 1: you can pry my gun from my cold, dead hand. Yeah, 28 00:01:42,640 --> 00:01:47,280 Speaker 1: he sure did. Was he happy? I don't know. I 29 00:01:47,319 --> 00:01:50,240 Speaker 1: don't know. Happiness is a warm gun. That's what Paul 30 00:01:50,280 --> 00:01:53,160 Speaker 1: McCartney said, and the Breeders man. We could just quote 31 00:01:53,200 --> 00:01:55,800 Speaker 1: like song lyrics and people all day and end up 32 00:01:55,840 --> 00:01:59,160 Speaker 1: with no results. So well, let's talk about this, chuck. 33 00:01:59,240 --> 00:02:03,080 Speaker 1: Is there a negative correlation between intelligence and happiness? I mean, 34 00:02:03,240 --> 00:02:07,000 Speaker 1: if you think about it in your own experience, you 35 00:02:07,040 --> 00:02:09,480 Speaker 1: can make the case that ignorance is bliss, that kind 36 00:02:09,520 --> 00:02:12,640 Speaker 1: of thing that, uh, you're you're happier when you don't 37 00:02:12,680 --> 00:02:16,000 Speaker 1: know about something bad that's already happened to you than 38 00:02:16,080 --> 00:02:18,320 Speaker 1: you are after you get the news. But that really 39 00:02:18,320 --> 00:02:21,520 Speaker 1: has nothing to do with intellect. Well does it? Though? 40 00:02:21,800 --> 00:02:23,600 Speaker 1: This when this whole thing is kind of fraught with 41 00:02:23,720 --> 00:02:26,880 Speaker 1: questions for me, like is it emotional intelligence? We're talking 42 00:02:26,880 --> 00:02:30,320 Speaker 1: about ignorance, Like when I think and you don't want 43 00:02:30,320 --> 00:02:32,120 Speaker 1: to use the words like stupid, you know, I know 44 00:02:32,240 --> 00:02:35,160 Speaker 1: Jerry says that schools don't like to use that word, 45 00:02:35,200 --> 00:02:38,280 Speaker 1: and it's the word stupid. Yeah, it's a pretty negative word, 46 00:02:38,360 --> 00:02:41,880 Speaker 1: I'll admit. And people that don't score well on high 47 00:02:42,520 --> 00:02:44,079 Speaker 1: well on i Q testa me, and that means nothing 48 00:02:44,120 --> 00:02:46,360 Speaker 1: about how smart they are. It's like, I think it 49 00:02:46,440 --> 00:02:49,320 Speaker 1: has to do more emotional intelligence. And like when I 50 00:02:49,320 --> 00:02:52,320 Speaker 1: think of dumb, I think and happy. I think of 51 00:02:52,360 --> 00:02:56,000 Speaker 1: like the dude sitting there picking his belly button lent 52 00:02:56,280 --> 00:02:59,080 Speaker 1: like laughing his head off at America's funny some video. 53 00:02:59,160 --> 00:03:01,480 Speaker 1: Would you call him and elligent? I don't know. I 54 00:03:01,560 --> 00:03:03,799 Speaker 1: kind of link that as one of the dummies out there. 55 00:03:04,120 --> 00:03:06,400 Speaker 1: But I'm jealous of that because I watched that show 56 00:03:06,480 --> 00:03:09,320 Speaker 1: in my and I just I can't sit still. It's 57 00:03:09,360 --> 00:03:11,280 Speaker 1: just so awful. But some people think it's the funniest 58 00:03:11,280 --> 00:03:12,800 Speaker 1: thing ever. I think it's kind of funny, and they 59 00:03:12,800 --> 00:03:14,600 Speaker 1: seem really happy. You know, a guy gets kicked in 60 00:03:14,639 --> 00:03:17,120 Speaker 1: the groin and everyone gets a good laugh and he 61 00:03:17,160 --> 00:03:20,000 Speaker 1: falls on his face. And you know, Beavis and butt Head, 62 00:03:20,000 --> 00:03:23,320 Speaker 1: they were idiots. They were always laughing and happy. And 63 00:03:23,440 --> 00:03:26,280 Speaker 1: you couldn't laugh at that show either. No, it was funny, 64 00:03:26,320 --> 00:03:30,160 Speaker 1: but I was laughing at their idiocy. I would consider 65 00:03:30,200 --> 00:03:33,600 Speaker 1: you a pretty I don't know if intellectual is the 66 00:03:33,720 --> 00:03:36,920 Speaker 1: right word, but definitely intelligent. I would considue an intelligent person. 67 00:03:37,000 --> 00:03:39,040 Speaker 1: But I'm not intellectual in the least. You know that, 68 00:03:39,240 --> 00:03:42,280 Speaker 1: but you're so. But I would also, I would say 69 00:03:42,280 --> 00:03:46,360 Speaker 1: you're fairly happy. Yeah, but I could see you happier. Well, 70 00:03:46,640 --> 00:03:50,280 Speaker 1: moods come and go, buddy. But you're saying you think 71 00:03:50,320 --> 00:03:53,440 Speaker 1: you're generally a positive, happy person. Yeah, I'd say generally, 72 00:03:53,480 --> 00:03:56,400 Speaker 1: I'm pretty happy person. Barring you know, I'm I'm moody 73 00:03:56,440 --> 00:04:00,160 Speaker 1: as well, But that's that's in the jeans. So your 74 00:04:00,240 --> 00:04:05,640 Speaker 1: questions as to this these articles are um like is intelligence, 75 00:04:05,640 --> 00:04:08,760 Speaker 1: emotional intelligence or intellectual intelligence. I think what they're talking 76 00:04:08,800 --> 00:04:14,120 Speaker 1: about specifically is um mental intelligence like book smarts. Sure, 77 00:04:14,360 --> 00:04:16,719 Speaker 1: or I think you could make a case that street 78 00:04:16,760 --> 00:04:21,320 Speaker 1: smarts comes out of intellect as well. I can. Okay, 79 00:04:21,400 --> 00:04:23,280 Speaker 1: I'm not going to hear, but I could if I 80 00:04:23,279 --> 00:04:26,000 Speaker 1: wanted to. Well, I think technically, they've they've done some 81 00:04:26,040 --> 00:04:28,640 Speaker 1: studies that said there is no direct link between happiness 82 00:04:28,640 --> 00:04:31,560 Speaker 1: and actual intelligence. Right, let's let's put some substance into 83 00:04:31,640 --> 00:04:35,600 Speaker 1: this podcast so we can spiculate all day. Uh so, Yeah, 84 00:04:35,600 --> 00:04:38,200 Speaker 1: officially what they say is there's no link. That's the 85 00:04:38,240 --> 00:04:41,359 Speaker 1: official line on that. And thank you for coming and 86 00:04:41,440 --> 00:04:44,719 Speaker 1: listening to this one. Yeah, no, there isn't any Uh. 87 00:04:44,800 --> 00:04:48,240 Speaker 1: Actually that's not true because I found his study, Um, 88 00:04:48,400 --> 00:04:51,159 Speaker 1: hit me. I found his study on the freakonomics blog. 89 00:04:51,240 --> 00:04:54,719 Speaker 1: Actually is a couple. He drew data from a study 90 00:04:54,760 --> 00:04:57,160 Speaker 1: of fourteen thousand people. That's pretty good and they were 91 00:04:57,160 --> 00:05:00,640 Speaker 1: giving Yeah, it's a pretty good sample. Um. They were 92 00:05:00,640 --> 00:05:03,480 Speaker 1: given a vocabulary test and then they were giving an 93 00:05:03,480 --> 00:05:07,200 Speaker 1: analytical reasoning skills test. And the people in the top 94 00:05:07,240 --> 00:05:14,920 Speaker 1: third consistently also reported being happiest, and they were less 95 00:05:14,960 --> 00:05:19,920 Speaker 1: likely to be very unhappy people happy is and all 96 00:05:20,000 --> 00:05:22,400 Speaker 1: that stuff. Not only here's here's the big problem. This 97 00:05:22,480 --> 00:05:26,000 Speaker 1: is the problem with everything. Yes, this is here is 98 00:05:26,040 --> 00:05:29,840 Speaker 1: our problem. No one actually knows what happiness is. It's 99 00:05:29,880 --> 00:05:33,400 Speaker 1: a subjective experience, or if it even exists. I've seen 100 00:05:33,440 --> 00:05:35,800 Speaker 1: a couple of people positive that the problem is. And 101 00:05:35,839 --> 00:05:37,720 Speaker 1: here's the catch twenty two. All the people who are 102 00:05:37,760 --> 00:05:42,200 Speaker 1: thinking about happiness are intelligent. If you're intelligent, or if 103 00:05:42,200 --> 00:05:44,880 Speaker 1: you're not intelligent, you're probably not thinking about happiness. You're 104 00:05:44,920 --> 00:05:48,719 Speaker 1: just happy. So the the whole field of the study 105 00:05:48,960 --> 00:05:51,560 Speaker 1: of happiness shoots itself in the foot every time it 106 00:05:51,600 --> 00:05:53,960 Speaker 1: opens its mouth. True, because it's all smart people trying 107 00:05:54,000 --> 00:05:55,880 Speaker 1: to figure out what happiness is. And I can't think 108 00:05:55,880 --> 00:05:58,919 Speaker 1: of anything that could make you unhappier than that. So 109 00:05:59,040 --> 00:06:01,880 Speaker 1: let's just stop doing this medialy. We should. Well, we 110 00:06:01,920 --> 00:06:04,000 Speaker 1: can talk about some little correlations here and there. I 111 00:06:04,000 --> 00:06:08,280 Speaker 1: know that one researcher was talking about how our educational 112 00:06:08,279 --> 00:06:11,200 Speaker 1: system doesn't really you know, they tend to separate the 113 00:06:11,240 --> 00:06:15,359 Speaker 1: intelligent ones. So, in other words, early on in schooling, Uh, 114 00:06:15,520 --> 00:06:19,600 Speaker 1: the really really smart kids are oftentimes segregated and uh 115 00:06:19,920 --> 00:06:23,440 Speaker 1: put in special classes, betimes, even special magnet schools. They're 116 00:06:23,440 --> 00:06:27,560 Speaker 1: not picked first on the kickball team. Uh. They're outcast 117 00:06:27,600 --> 00:06:30,719 Speaker 1: in some ways because they're smart. And does that lead 118 00:06:30,720 --> 00:06:33,800 Speaker 1: to happiness? Probably not? Yeah that Yeah, there's too many 119 00:06:34,120 --> 00:06:39,719 Speaker 1: externalities that you can't really account for exogenous factors. Yes, nice, Wow, 120 00:06:39,760 --> 00:06:42,000 Speaker 1: you have quite a memory of my friends. Recall from 121 00:06:42,000 --> 00:06:45,200 Speaker 1: our super stuffed Guide to the Economy. Another problem with 122 00:06:45,279 --> 00:06:50,520 Speaker 1: trying to define happiness is every study of happiness is 123 00:06:50,560 --> 00:06:54,119 Speaker 1: a survey. It's all self reporting, and I can't remember 124 00:06:54,160 --> 00:06:57,000 Speaker 1: it brings a bell that you had said like, um, 125 00:06:57,240 --> 00:06:59,040 Speaker 1: we talked about this before, and you have said something 126 00:06:59,040 --> 00:07:02,080 Speaker 1: along the lines of um, it depends on when you 127 00:07:02,120 --> 00:07:04,800 Speaker 1: take that kind of test. Was. I mean, if if 128 00:07:04,800 --> 00:07:07,120 Speaker 1: somebody tested you right now, how would you test in 129 00:07:07,200 --> 00:07:13,080 Speaker 1: as far as the life satisfaction scale or happiness quotient goes, Well, 130 00:07:13,480 --> 00:07:15,840 Speaker 1: she's just tough. I mean, like right this minute, Well, 131 00:07:15,840 --> 00:07:18,120 Speaker 1: I'm in a pretty rotten mood today exactly, but I 132 00:07:18,120 --> 00:07:20,040 Speaker 1: would have about yesterday, but I wouldn't call that. I 133 00:07:20,040 --> 00:07:22,880 Speaker 1: wouldn't chart that on the life happen. Don't you think 134 00:07:22,920 --> 00:07:25,400 Speaker 1: that the mood that you're in when you're taking, uh, 135 00:07:25,440 --> 00:07:27,640 Speaker 1: when you're taking a look a survey on your life 136 00:07:27,680 --> 00:07:30,040 Speaker 1: is going to influence everything. I would like to think 137 00:07:30,080 --> 00:07:31,920 Speaker 1: that I would be able to step outside of that, 138 00:07:31,960 --> 00:07:34,600 Speaker 1: but how can it not, You're right, yeah, So, so 139 00:07:34,640 --> 00:07:37,040 Speaker 1: the whole fact that it's all self reported, I mean 140 00:07:37,040 --> 00:07:40,240 Speaker 1: self reported data is almost always discarded in every other 141 00:07:40,880 --> 00:07:44,640 Speaker 1: area of science. It's it's anecdotal Well, that's because this 142 00:07:44,680 --> 00:07:47,040 Speaker 1: isn't really scientific if you think about it. No, it's not. 143 00:07:47,160 --> 00:07:50,040 Speaker 1: And let's talk about something that's not scientific. It's a field, 144 00:07:50,040 --> 00:07:54,520 Speaker 1: a new subdiscipline called positive psychology. Yes, that would be 145 00:07:54,800 --> 00:07:58,400 Speaker 1: Um Martin us uh Seligman. Yeah. And you get the 146 00:07:58,440 --> 00:08:03,040 Speaker 1: impression by the that his name is associated with something 147 00:08:03,160 --> 00:08:07,240 Speaker 1: as ridiculously hippie sounding as positive psychology, that he's a 148 00:08:07,280 --> 00:08:10,920 Speaker 1: crack pot. Uh, he is not. In fact, he's a 149 00:08:10,960 --> 00:08:15,600 Speaker 1: PhD Uh. He runs the Center I think for Authentic 150 00:08:15,640 --> 00:08:18,280 Speaker 1: Happiness or something like that at the University of Pennsylvania, 151 00:08:18,320 --> 00:08:20,440 Speaker 1: so it is bona fide. He was the president of 152 00:08:20,440 --> 00:08:25,760 Speaker 1: the Yeah, and actually he dedicated their millennial issue to 153 00:08:26,080 --> 00:08:29,880 Speaker 1: positive psychology while he was president there. It was cool, 154 00:08:29,920 --> 00:08:32,959 Speaker 1: but it was also pretty self serving. And uh, I'm 155 00:08:33,000 --> 00:08:36,440 Speaker 1: sure he had his stocks on. I'm quite sure. Um. 156 00:08:36,600 --> 00:08:40,559 Speaker 1: But the whole field of positive psychology is basically, Um, 157 00:08:40,600 --> 00:08:43,840 Speaker 1: they're exploring interventions, and an intervention is any kind of 158 00:08:43,840 --> 00:08:47,320 Speaker 1: treatment in the field of psychology. Right, they're exploring basically 159 00:08:47,400 --> 00:08:50,360 Speaker 1: what positive psychology is saying is I read a quote 160 00:08:50,360 --> 00:08:54,760 Speaker 1: in an article about it by another positive psychologist who said, uh, 161 00:08:54,920 --> 00:08:57,480 Speaker 1: psychology is very good at getting people from negative eight 162 00:08:57,480 --> 00:08:59,880 Speaker 1: to zero, but hasn't learned how to get people for 163 00:09:00,120 --> 00:09:04,679 Speaker 1: zero to eight positive eight? Right, And that's absolutely true. 164 00:09:04,679 --> 00:09:06,920 Speaker 1: But at the same time, I mean, like, are you 165 00:09:06,960 --> 00:09:10,240 Speaker 1: supposed to get people to to positive eight? You know 166 00:09:10,760 --> 00:09:13,360 Speaker 1: about that, there's some real ethical questions that are raised. 167 00:09:13,400 --> 00:09:17,959 Speaker 1: Let's say that we develop some sort of um pharmaco 168 00:09:18,480 --> 00:09:24,440 Speaker 1: psychiatric pill that can make a normal person happy. Should 169 00:09:24,440 --> 00:09:26,920 Speaker 1: that person take that pill? I mean, we've already established 170 00:09:26,920 --> 00:09:31,320 Speaker 1: as a society a baseline which is zero, and anybody 171 00:09:31,360 --> 00:09:34,240 Speaker 1: below that is suffering from a mental illness and deserves 172 00:09:34,280 --> 00:09:39,160 Speaker 1: treatment to get back to zero. Why should we accelerate 173 00:09:39,160 --> 00:09:42,520 Speaker 1: our our happiness? And in doing so are we are 174 00:09:42,520 --> 00:09:49,120 Speaker 1: we edging out real experiences? G the negative? I mean 175 00:09:49,200 --> 00:09:52,760 Speaker 1: life is full of both, right, right, But are you 176 00:09:52,800 --> 00:09:56,400 Speaker 1: gonna bring that home with the smart, intelligent or dumb 177 00:09:56,480 --> 00:10:01,520 Speaker 1: stupid thing? Or is that fall into the ignorance bliss category? 178 00:10:02,160 --> 00:10:04,440 Speaker 1: I don't know, I don't know how to categorize that. 179 00:10:04,520 --> 00:10:07,800 Speaker 1: Man interesting, Uh yeah, No, I was actually going to 180 00:10:07,840 --> 00:10:12,640 Speaker 1: go into um another kind of contrary therapy. Well, I 181 00:10:13,000 --> 00:10:16,360 Speaker 1: don't know. You want to talk some more about positive psychology? No? No, no, 182 00:10:16,360 --> 00:10:18,920 Speaker 1: that's good. Are you sure yeah, okay, all right, we'll 183 00:10:18,920 --> 00:10:22,280 Speaker 1: continue on that. Have you heard of, uh, what is it? 184 00:10:22,360 --> 00:10:26,200 Speaker 1: Acceptance and commitment therapy? I have not actually see. I 185 00:10:26,240 --> 00:10:28,360 Speaker 1: have a leg up on you. I have to tell everybody. 186 00:10:28,400 --> 00:10:30,959 Speaker 1: I've written a bunch of articles on happiness recently, and 187 00:10:31,000 --> 00:10:33,800 Speaker 1: poor Chuck's been writing nothing but social media stuff, which 188 00:10:33,800 --> 00:10:36,679 Speaker 1: is if this were about Twitter, I'd be sitting here silently. 189 00:10:37,280 --> 00:10:41,520 Speaker 1: Yeah I would too, actually would you. Um. There's a 190 00:10:41,559 --> 00:10:46,840 Speaker 1: there's a contrary field of therapy, uh to positive psychology. 191 00:10:46,840 --> 00:10:51,199 Speaker 1: It's called acceptance and commitment therapy, and basically it says, like, look, 192 00:10:51,280 --> 00:10:55,160 Speaker 1: you have good and bad experiences. You can't just focus 193 00:10:55,200 --> 00:10:59,040 Speaker 1: on the happy one because you still have these negative experiences. 194 00:10:59,040 --> 00:11:01,240 Speaker 1: You can't just crush him down or else you're gonna 195 00:11:01,320 --> 00:11:05,400 Speaker 1: end up climbing a clock tower and shooting people. Right. 196 00:11:05,480 --> 00:11:08,800 Speaker 1: So this, this therapy basically says what you do is 197 00:11:08,960 --> 00:11:12,520 Speaker 1: you go back. And I've got a perfect example for you. 198 00:11:12,840 --> 00:11:15,640 Speaker 1: When I was like five or six, we went to 199 00:11:15,679 --> 00:11:18,360 Speaker 1: this k o A campground and I had like this 200 00:11:18,559 --> 00:11:21,920 Speaker 1: awesome pac Man T shirt had like it was had 201 00:11:21,960 --> 00:11:24,120 Speaker 1: the red ring around the neck and the sleeves and 202 00:11:24,160 --> 00:11:26,079 Speaker 1: it was just like I think an iron on pac 203 00:11:26,120 --> 00:11:29,880 Speaker 1: Man right, and Uh, I decided to stuff a pack 204 00:11:29,960 --> 00:11:33,360 Speaker 1: of firecrackers down the front of my shirt stole him. 205 00:11:33,600 --> 00:11:36,160 Speaker 1: I got away with it right, and my family was 206 00:11:36,160 --> 00:11:38,200 Speaker 1: traveling back from this campground and we made it to 207 00:11:38,559 --> 00:11:41,600 Speaker 1: uh Wendy's and stopped to eat, and I got up 208 00:11:41,800 --> 00:11:45,120 Speaker 1: to go to the bathroom and the fire crackers. I 209 00:11:45,160 --> 00:11:46,760 Speaker 1: was too scared to do anything with him. I just 210 00:11:46,840 --> 00:11:49,280 Speaker 1: left him in my shirt for two hours. And so 211 00:11:49,360 --> 00:11:51,920 Speaker 1: when I stood up, my fat stomach pressed him up 212 00:11:51,920 --> 00:11:55,040 Speaker 1: against the pac Man shirt made this crickling sound. And 213 00:11:55,480 --> 00:11:58,960 Speaker 1: my mom immediately looked at me, and somehow she's so intuitive. 214 00:11:59,320 --> 00:12:01,600 Speaker 1: She looked at me and was like, what's in your shirt? 215 00:12:02,160 --> 00:12:04,840 Speaker 1: And that was that? That was so bad, Like on 216 00:12:04,880 --> 00:12:07,280 Speaker 1: my birthday. They took me home and showed me like 217 00:12:07,320 --> 00:12:09,199 Speaker 1: all the he Man stuff I wasn't gonna beginning for 218 00:12:09,280 --> 00:12:11,720 Speaker 1: my birthday that year. Uh, and they made me take 219 00:12:11,760 --> 00:12:14,880 Speaker 1: it back and take the firecrackers to the guy. We 220 00:12:15,000 --> 00:12:18,319 Speaker 1: turned around and went back. Yeah, it took the firecrackers 221 00:12:18,320 --> 00:12:20,520 Speaker 1: back to the guy, and I had to apologize. I 222 00:12:20,559 --> 00:12:22,680 Speaker 1: thought you were gonna say, they lit the firecrackers and 223 00:12:22,760 --> 00:12:25,040 Speaker 1: under your shirt, and then yeah, push put them in 224 00:12:25,080 --> 00:12:26,840 Speaker 1: my shirt and pushed me back into the store at 225 00:12:26,880 --> 00:12:30,360 Speaker 1: the k A campground. Um, so that was something that 226 00:12:30,559 --> 00:12:33,880 Speaker 1: definitely contributed to my outlook today. Like it's like it's 227 00:12:33,920 --> 00:12:36,560 Speaker 1: still very much in my mind, and I wonder like 228 00:12:36,679 --> 00:12:39,400 Speaker 1: just how much of that forms my personality, like how 229 00:12:39,480 --> 00:12:43,360 Speaker 1: much guilt from that? So under acceptance and commitment therapy, 230 00:12:43,720 --> 00:12:47,640 Speaker 1: basically I or anybody else would look at that and say, really, Okay, 231 00:12:47,720 --> 00:12:50,079 Speaker 1: you stole a pack of firecrackers when you were six 232 00:12:50,280 --> 00:12:52,240 Speaker 1: and you felt bad about it your whole life. Now 233 00:12:52,280 --> 00:12:54,720 Speaker 1: that you're thirty two, is it really that bad? So 234 00:12:54,760 --> 00:13:00,000 Speaker 1: you're basically becoming conscious of these experiences that are contribut 235 00:13:00,000 --> 00:13:02,480 Speaker 1: beating to your outlook on life, that just accumulate all 236 00:13:02,520 --> 00:13:05,640 Speaker 1: this crap. You know, I definitely subscribe more to act 237 00:13:05,800 --> 00:13:07,959 Speaker 1: than to positive psychology. I guess that's what I'm trying 238 00:13:08,000 --> 00:13:10,880 Speaker 1: to say. Me too. For sure, my shrink is real 239 00:13:10,960 --> 00:13:13,280 Speaker 1: big on that. But just from a practical standpoint, it's 240 00:13:13,320 --> 00:13:15,880 Speaker 1: not I've never even heard of use those words. It 241 00:13:15,960 --> 00:13:18,560 Speaker 1: just makes sense to me. It's practical as opposed. Emily 242 00:13:18,600 --> 00:13:21,120 Speaker 1: is always talking about people that bliss out and that 243 00:13:21,320 --> 00:13:24,079 Speaker 1: sometimes she wishes that she has has that quality to 244 00:13:24,160 --> 00:13:26,440 Speaker 1: just bliss out and like, you know, leave it up 245 00:13:26,440 --> 00:13:29,559 Speaker 1: to the cosmos or Christians say they'll just leave it 246 00:13:29,640 --> 00:13:32,120 Speaker 1: up to God and let him take care of it. 247 00:13:32,640 --> 00:13:35,199 Speaker 1: And you know that's that's awesome if you can, If 248 00:13:35,200 --> 00:13:38,400 Speaker 1: you can do that, but are you dealing with it? 249 00:13:38,400 --> 00:13:41,000 Speaker 1: It's a great question, Chuck. The problem is we always 250 00:13:41,000 --> 00:13:43,120 Speaker 1: say on this podcast to each his own. So if 251 00:13:43,160 --> 00:13:44,960 Speaker 1: that is how you deal with life and it's working 252 00:13:44,960 --> 00:13:47,920 Speaker 1: for you, fantastic, Well I can't do it anymore than 253 00:13:47,960 --> 00:13:49,880 Speaker 1: you or Emily can't. Right, But if that means that 254 00:13:49,920 --> 00:13:52,640 Speaker 1: you end up on the couch just laughing your head off, 255 00:13:52,880 --> 00:13:55,200 Speaker 1: like I said it, America is funny some videos, I'm 256 00:13:55,200 --> 00:13:58,640 Speaker 1: trying to think something worse than that. To be Saved 257 00:13:58,640 --> 00:14:00,760 Speaker 1: by the Bell it's pretty bad. Okay, let's go with that. 258 00:14:01,320 --> 00:14:04,600 Speaker 1: I find that show mortifyingly embarrassing. It is, and I 259 00:14:04,640 --> 00:14:06,760 Speaker 1: still can't want I can't stop watching. It's like a 260 00:14:06,840 --> 00:14:09,600 Speaker 1: train wreck. Do you remember the show Hey Dude, So 261 00:14:09,800 --> 00:14:12,679 Speaker 1: Nickelodeon Show on Dude Ranch was bad. It was sort 262 00:14:12,679 --> 00:14:14,280 Speaker 1: of like Saved by the Belbot on a Dude Ranch 263 00:14:14,280 --> 00:14:17,560 Speaker 1: and worse if you can imagine that right there. Yeah, So, anyway, 264 00:14:17,559 --> 00:14:19,400 Speaker 1: if that if that's your end result, and that's in 265 00:14:19,480 --> 00:14:22,640 Speaker 1: your in your on the couch picking your boogers and 266 00:14:22,640 --> 00:14:25,120 Speaker 1: eating them and you're smiling laughing. Then who are we 267 00:14:25,200 --> 00:14:28,360 Speaker 1: to say, you know, whether or not ignorance is bliss 268 00:14:28,440 --> 00:14:30,400 Speaker 1: or blessing out is the right way to go. Although 269 00:14:30,440 --> 00:14:33,440 Speaker 1: possibly you should lay off the dope. Yeah maybe so. 270 00:14:34,120 --> 00:14:36,360 Speaker 1: Doritos are in the mixer somewhere. So I guess the 271 00:14:36,360 --> 00:14:40,520 Speaker 1: answer to this question chuck, our stupid people happier. The answers, 272 00:14:40,560 --> 00:14:43,480 Speaker 1: we don't know, And whether you think that that's the 273 00:14:43,520 --> 00:14:46,560 Speaker 1: case or not would definitely depend on whatever self reported 274 00:14:46,560 --> 00:14:49,680 Speaker 1: anecdotal survey you read. Right. I think it's interesting. This 275 00:14:49,720 --> 00:14:52,200 Speaker 1: is one I want people to log on to the 276 00:14:52,240 --> 00:14:54,800 Speaker 1: blog when I do my Friday recap. I'd like to 277 00:14:54,800 --> 00:14:57,320 Speaker 1: hear about this. I'd like to hear some opinions calling 278 00:14:57,400 --> 00:15:02,640 Speaker 1: out I'm asking for it. Awesome. So, Josh, this was 279 00:15:02,680 --> 00:15:05,120 Speaker 1: a cool and remember in our Body Farms podcast, how 280 00:15:05,200 --> 00:15:08,200 Speaker 1: toward the end he said something about the lies perpetrated 281 00:15:08,200 --> 00:15:10,400 Speaker 1: by c s I, the television show. Yeah, I love 282 00:15:10,440 --> 00:15:14,200 Speaker 1: this email. This is really interesting, dude. Yes, indeed, all right, 283 00:15:14,200 --> 00:15:16,920 Speaker 1: here we go. Uh, here's my first hand experience of 284 00:15:16,960 --> 00:15:19,560 Speaker 1: the lies perpetrated by TV in general and c s 285 00:15:19,560 --> 00:15:22,960 Speaker 1: I specifically. Five years ago, my wife was carjacked, robbed, 286 00:15:22,960 --> 00:15:26,600 Speaker 1: and assaulted. She escaped by her own wits and strength. 287 00:15:26,640 --> 00:15:29,800 Speaker 1: Her attacker had been smoking a cigarette during the attack. 288 00:15:30,600 --> 00:15:33,480 Speaker 1: They fought over a knife he had that he had 289 00:15:33,480 --> 00:15:36,080 Speaker 1: to her throat, and he cut her hands deeply. She 290 00:15:36,160 --> 00:15:37,920 Speaker 1: pulled the cigarette from his mouth and tried to burn 291 00:15:38,000 --> 00:15:39,680 Speaker 1: him with it, but it failed, which is that's a 292 00:15:39,720 --> 00:15:43,440 Speaker 1: great movie move, you know, turning on the After she 293 00:15:43,600 --> 00:15:45,920 Speaker 1: escaped and the police found the car, they found the cigarette, 294 00:15:45,960 --> 00:15:48,600 Speaker 1: but with her blood on the filter. Under the blood 295 00:15:48,600 --> 00:15:50,800 Speaker 1: they found his saliva, pulled the DNA from it, and 296 00:15:50,840 --> 00:15:53,680 Speaker 1: found him in the CODIS data bank, which is the 297 00:15:53,760 --> 00:15:56,200 Speaker 1: combined DNA index system, or as they call it, the 298 00:15:56,200 --> 00:16:00,240 Speaker 1: bad guy Data Bank exactly uh, which is made tamed 299 00:16:00,240 --> 00:16:02,840 Speaker 1: by the FBI. She went through the lineup at the 300 00:16:02,880 --> 00:16:05,200 Speaker 1: local precinct where they made the arrest. The grand jury 301 00:16:05,720 --> 00:16:09,720 Speaker 1: got the indictment, The trial happened, complete with the dramatic 302 00:16:09,840 --> 00:16:12,840 Speaker 1: that's a man who did at moment and sentencing. After 303 00:16:12,880 --> 00:16:14,680 Speaker 1: the case was closed, it was submitted by the county 304 00:16:14,720 --> 00:16:18,000 Speaker 1: forensics chief and accepted by the FBI to be featured 305 00:16:18,080 --> 00:16:21,520 Speaker 1: at that year's CODIS conference in d C. During every 306 00:16:21,560 --> 00:16:23,600 Speaker 1: phase of the process, we were amazed at how much 307 00:16:23,600 --> 00:16:26,240 Speaker 1: TV had lied to us about the process. The actual 308 00:16:26,240 --> 00:16:28,200 Speaker 1: working in the system is someone like what you see 309 00:16:28,520 --> 00:16:34,240 Speaker 1: on television as to be unrecognizable. During the conference, they 310 00:16:34,280 --> 00:16:36,720 Speaker 1: openly spoke of the c s I effects. So it's 311 00:16:36,760 --> 00:16:39,680 Speaker 1: basically these cops and forensics guys actually talk about how 312 00:16:39,680 --> 00:16:43,360 Speaker 1: that show is damaging UH, their work, their lying liars, 313 00:16:43,400 --> 00:16:46,640 Speaker 1: their lying liars, and how the public has been influenced 314 00:16:46,640 --> 00:16:50,320 Speaker 1: so much by these shows. So basically, he hates those 315 00:16:50,320 --> 00:16:51,920 Speaker 1: shows and he found it to be a lot of bunk. 316 00:16:52,000 --> 00:16:55,160 Speaker 1: I did converse with him a couple more times via email, 317 00:16:55,320 --> 00:16:59,880 Speaker 1: and he felt a lot of responsibility because he left 318 00:16:59,880 --> 00:17:02,480 Speaker 1: a wife in a running car with the heat on 319 00:17:02,560 --> 00:17:04,320 Speaker 1: and the radio on while he ran in to get 320 00:17:04,600 --> 00:17:07,480 Speaker 1: ice cream for Lord. And this is when she was 321 00:17:07,520 --> 00:17:09,320 Speaker 1: attacked and he had to say that in court, and 322 00:17:09,320 --> 00:17:10,960 Speaker 1: he said, which made him feel like more of a jerk. 323 00:17:11,400 --> 00:17:14,520 Speaker 1: Then she was attacked and uh, he said, was just 324 00:17:14,600 --> 00:17:16,920 Speaker 1: like a TV show, except all the details of how 325 00:17:16,920 --> 00:17:20,080 Speaker 1: it really goes down. So it's the drama was all there. Yeah, 326 00:17:20,200 --> 00:17:25,280 Speaker 1: Jerry Bruckheimer systematically undermining the law enforcement community. But she 327 00:17:25,280 --> 00:17:27,280 Speaker 1: fought him off, and this guy turns out had a 328 00:17:27,400 --> 00:17:30,600 Speaker 1: rap sheet of like rape and rape and murder and 329 00:17:30,640 --> 00:17:32,560 Speaker 1: they couldn't get him on the murder charge because something 330 00:17:32,600 --> 00:17:34,920 Speaker 1: had happened I can't remember. So he ended up going 331 00:17:34,960 --> 00:17:39,200 Speaker 1: to prison for life in the pokey in the houscal 332 00:17:39,359 --> 00:17:43,120 Speaker 1: and the family of the raped and murder girl got closure. 333 00:17:43,240 --> 00:17:46,160 Speaker 1: And you know, we're at the trial at this lady strial. 334 00:17:46,960 --> 00:17:49,679 Speaker 1: So thank you, Christopher for that harrowing tale. Seriously, I 335 00:17:49,720 --> 00:17:53,399 Speaker 1: think they should get T shirts. You think so? Yeah, dude, 336 00:17:53,640 --> 00:17:56,280 Speaker 1: that's actually you know you went through this. We'll give 337 00:17:56,320 --> 00:18:00,440 Speaker 1: you a T shirt that I know. I'm just kidding. Yeah, 338 00:18:00,560 --> 00:18:05,800 Speaker 1: it sounds insulting you, Yeah, exactly. You you narrowly averted 339 00:18:05,880 --> 00:18:08,159 Speaker 1: death by your own wits and you we'll give you 340 00:18:08,200 --> 00:18:10,080 Speaker 1: a T shirt for that. We should make a T shirt. 341 00:18:10,080 --> 00:18:11,960 Speaker 1: We shouldn't need it. Well, Christopher, if you want to 342 00:18:11,960 --> 00:18:15,040 Speaker 1: send us yours, UH and your wife's UM T shirt 343 00:18:15,080 --> 00:18:17,359 Speaker 1: sizes and address, we will make sure that those go 344 00:18:17,400 --> 00:18:20,040 Speaker 1: out to you. Again, it's the least we can do. 345 00:18:20,280 --> 00:18:24,359 Speaker 1: No insult intended just to show of support for bringing 346 00:18:24,400 --> 00:18:27,040 Speaker 1: us this email. And if you have a harrowing tale 347 00:18:27,040 --> 00:18:31,880 Speaker 1: of survival uh near miss with death um or. If 348 00:18:31,920 --> 00:18:34,000 Speaker 1: you've run into any bad guys lately, let us know 349 00:18:34,520 --> 00:18:37,280 Speaker 1: and you can send that in an email to Stuff 350 00:18:37,520 --> 00:18:46,439 Speaker 1: Podcast at how stuff works dot com. For more on 351 00:18:46,520 --> 00:18:49,000 Speaker 1: this and thousands of other topics, does it how stuff 352 00:18:49,000 --> 00:18:52,560 Speaker 1: works dot com. Want more how stuff works, check out 353 00:18:52,560 --> 00:18:56,159 Speaker 1: our blogs on the house. Stuff works dot Com home page. 354 00:18:58,160 --> 00:19:00,800 Speaker 1: Brought to you by the reinvented two thousand and twelve Camry. 355 00:19:01,040 --> 00:19:02,159 Speaker 1: It's ready, are you