1 00:00:06,320 --> 00:00:09,200 Speaker 1: Welcome to another episode of Odd Thoughts. I'm Tracy Alloy, 2 00:00:09,280 --> 00:00:12,840 Speaker 1: Executive editor of Bloomberg Markets, and I'm Joe Wisenthal, Managing 3 00:00:12,960 --> 00:00:15,560 Speaker 1: editor of Bloomberg Markets. I want to let our listeners 4 00:00:15,560 --> 00:00:18,680 Speaker 1: in on a little secret. This isn't widely known outside 5 00:00:18,720 --> 00:00:23,040 Speaker 1: the Bloomberg office, but Joe abhores fun in all its forms. 6 00:00:23,480 --> 00:00:27,000 Speaker 1: He hates whimsy, he hates photos of cute animals and 7 00:00:27,680 --> 00:00:32,720 Speaker 1: anything related to general merriment. That's not true, No, no, yeah, right, 8 00:00:32,800 --> 00:00:36,240 Speaker 1: that's pretty much true, pretty much. I like having fun, 9 00:00:36,360 --> 00:00:38,400 Speaker 1: just I just don't like most people's definition of it. 10 00:00:38,479 --> 00:00:42,160 Speaker 1: I guess you have your own definition. Al right. Well, 11 00:00:42,240 --> 00:00:44,839 Speaker 1: on that note, I thought today, in an effort to 12 00:00:45,320 --> 00:00:48,960 Speaker 1: change Joe's mind about fun and humor in general, we 13 00:00:49,080 --> 00:00:52,479 Speaker 1: might embark on something a little different, something fun, but 14 00:00:52,560 --> 00:00:55,720 Speaker 1: obviously it still needs to be markets related. So Joe, 15 00:00:55,840 --> 00:00:58,160 Speaker 1: I'm really excited to say that we're going to have 16 00:00:58,760 --> 00:01:02,000 Speaker 1: today someone who bills himself as the world's first and 17 00:01:02,080 --> 00:01:08,920 Speaker 1: only stand up comedian economist. Wait, stand up economists, Yeah 18 00:01:09,000 --> 00:01:13,360 Speaker 1: it is. I'm skeptical, all right, So we're having your 19 00:01:13,440 --> 00:01:16,319 Speaker 1: embowman on. He has a PhD in economics from the 20 00:01:16,360 --> 00:01:20,280 Speaker 1: University of Washington. He also travels the country doing comedy 21 00:01:20,280 --> 00:01:24,279 Speaker 1: gigs at universities and economic conferences, making jokes about yield 22 00:01:24,319 --> 00:01:27,840 Speaker 1: curves and supply and demand and all that fun stuff. 23 00:01:27,840 --> 00:01:32,600 Speaker 1: I'm even more skeptical there's actually a circuit of going 24 00:01:32,640 --> 00:01:36,319 Speaker 1: around making jokes and comedy conferences and universities. I swear 25 00:01:36,360 --> 00:01:38,320 Speaker 1: there is. If you look at his website, he has 26 00:01:38,319 --> 00:01:40,639 Speaker 1: a list of every show that he's done, and he's, 27 00:01:41,240 --> 00:01:48,960 Speaker 1: as economists would say, very much in demand. Okay, convinced, Yeah, no, no, 28 00:01:49,000 --> 00:01:51,160 Speaker 1: I'm starting to get intrigued. Just to give you an idea, 29 00:01:51,280 --> 00:01:53,160 Speaker 1: We're going to have your um come on and at 30 00:01:53,160 --> 00:01:55,400 Speaker 1: the beginning he's going to do a short set for us, 31 00:01:55,440 --> 00:01:57,840 Speaker 1: and I've also brought in some of our Bloomberg colleagues 32 00:01:57,880 --> 00:02:01,160 Speaker 1: to be our guinea pigs and his audience. All right, well, 33 00:02:01,160 --> 00:02:12,760 Speaker 1: I'm looking forward to being convinced. Ladies and gentlemen, your 34 00:02:12,880 --> 00:02:20,079 Speaker 1: am Bowman. Thank you very much. It's it's a pleasure 35 00:02:20,120 --> 00:02:22,760 Speaker 1: me with all of you today. My name is Roon Bowman. 36 00:02:22,919 --> 00:02:25,360 Speaker 1: I appear before you as the world first and only 37 00:02:25,440 --> 00:02:30,000 Speaker 1: stand up economist. Yes, it's a it's a niche market. 38 00:02:31,280 --> 00:02:32,920 Speaker 1: I really only have one thing going for me as 39 00:02:32,919 --> 00:02:36,800 Speaker 1: a stand up economist, and that's low expectations. When I 40 00:02:36,840 --> 00:02:38,000 Speaker 1: told my father that I was going to be a 41 00:02:38,000 --> 00:02:40,679 Speaker 1: stand up economist, he said, Ronny said, you can't be 42 00:02:40,720 --> 00:02:42,840 Speaker 1: a stand up economist. And I said, why not? And 43 00:02:42,880 --> 00:02:47,639 Speaker 1: he said, because there's no demand a boom And I 44 00:02:47,680 --> 00:02:50,120 Speaker 1: was the first joke I ever told on stage. I said, 45 00:02:50,120 --> 00:02:53,400 Speaker 1: don't worry that I'm a supply side economist. I just 46 00:02:53,560 --> 00:02:57,960 Speaker 1: stand up and let the jokes trickle down. I believe 47 00:02:58,000 --> 00:03:02,480 Speaker 1: in laugher cur those are actually just my jokes that 48 00:03:02,840 --> 00:03:05,520 Speaker 1: how much economics everybody knows? And then I kind of 49 00:03:05,639 --> 00:03:08,680 Speaker 1: arranged the rest of your team accordingly. Uh you know, 50 00:03:08,680 --> 00:03:10,959 Speaker 1: I'm I'm happy to say that it's been a good 51 00:03:11,000 --> 00:03:14,040 Speaker 1: couple of years for economics comedy. A few years ago 52 00:03:14,040 --> 00:03:16,440 Speaker 1: I got to be on the PBS News Hour. And now, 53 00:03:16,480 --> 00:03:17,679 Speaker 1: I don't know how much you all know about the 54 00:03:17,720 --> 00:03:19,639 Speaker 1: world of stand up comedy, but let me just play 55 00:03:19,680 --> 00:03:22,440 Speaker 1: you this. In the world of stand up comedy, it 56 00:03:22,560 --> 00:03:26,320 Speaker 1: does not get any bigger than the PBS News Hour 57 00:03:27,720 --> 00:03:30,840 Speaker 1: with Jim Lair. It was pretty amazing. They interviewed three 58 00:03:30,880 --> 00:03:34,119 Speaker 1: economists on the show. They interviewed Robert Schiller who won 59 00:03:34,240 --> 00:03:39,000 Speaker 1: the Nobel Prize. They interviewed Joseph Stiglets, who won the 60 00:03:39,000 --> 00:03:43,280 Speaker 1: Nobel Prize, and they interviewed me. I felt like kind 61 00:03:43,280 --> 00:03:48,120 Speaker 1: of a self aware version of Sarah Palin And what 62 00:03:48,160 --> 00:03:50,160 Speaker 1: did they ask for my moment of TV fame when 63 00:03:50,160 --> 00:03:52,080 Speaker 1: the TVs News Hour they asked me if I'd ever 64 00:03:52,160 --> 00:03:58,000 Speaker 1: bombed on stage? A couple of things about this, right. 65 00:03:58,000 --> 00:04:00,800 Speaker 1: First of all, I am not a eight of failure, 66 00:04:01,200 --> 00:04:06,240 Speaker 1: all right, I'm an economist. Secondly, on professional comedian, right, 67 00:04:06,240 --> 00:04:08,000 Speaker 1: so it choke doesn't work. You just started keep throwing 68 00:04:08,000 --> 00:04:10,440 Speaker 1: stuff out there until you find something that six just 69 00:04:10,560 --> 00:04:12,280 Speaker 1: basically the same thing that the fat of the Treasury 70 00:04:12,280 --> 00:04:15,640 Speaker 1: didn't the last six or seven years. And finally had 71 00:04:15,640 --> 00:04:17,479 Speaker 1: to admit on the PBS News Hour and in fact 72 00:04:17,520 --> 00:04:20,000 Speaker 1: I had bombed on stage. The works show I ever 73 00:04:20,040 --> 00:04:22,480 Speaker 1: did was in October of two thousand and eight. I'm 74 00:04:22,480 --> 00:04:24,880 Speaker 1: sure you remember what was happening to the global economy 75 00:04:24,880 --> 00:04:27,280 Speaker 1: in the stock market in October of two thousand eight. 76 00:04:27,560 --> 00:04:29,599 Speaker 1: October two thousand and eight, I did a show in 77 00:04:29,640 --> 00:04:34,240 Speaker 1: Colorado Springs for a group of bankers. And commonly it 78 00:04:34,279 --> 00:04:36,520 Speaker 1: is kind of a violent business, right like if you're 79 00:04:36,560 --> 00:04:39,440 Speaker 1: doing well, then you're killing. If you're doing badly, then 80 00:04:39,480 --> 00:04:42,680 Speaker 1: you're bombing. And I totally bombed that show. And I 81 00:04:42,680 --> 00:04:44,719 Speaker 1: actually did so poorly that I spent a star any 82 00:04:44,760 --> 00:04:47,560 Speaker 1: time afterwards, sort of soul searchingly trying to figure out 83 00:04:47,680 --> 00:04:49,960 Speaker 1: where had I lost the connection with this audience of 84 00:04:50,040 --> 00:04:53,120 Speaker 1: bankers in Colorado Springs in October of two thousand and eight, 85 00:04:53,760 --> 00:04:55,599 Speaker 1: And I finally realized that I lost them on my 86 00:04:55,680 --> 00:05:00,160 Speaker 1: opening line, that my opening line was, Hey, how was 87 00:05:00,240 --> 00:05:06,480 Speaker 1: it going? Maybe I'll close this set with some You 88 00:05:06,520 --> 00:05:09,000 Speaker 1: might be an economist if jokes so. You might be 89 00:05:09,000 --> 00:05:11,120 Speaker 1: an economists if you think that In America's next top 90 00:05:11,160 --> 00:05:15,440 Speaker 1: model should be a Dodginess growth model. Uh, it might 91 00:05:15,480 --> 00:05:17,960 Speaker 1: be an economist. If you don't read human interest stories 92 00:05:18,040 --> 00:05:22,440 Speaker 1: because they don't interest you. You might be an economists 93 00:05:22,480 --> 00:05:24,240 Speaker 1: if you've ever gone to a bank or other financial 94 00:05:24,279 --> 00:05:28,560 Speaker 1: institution in the hopes of getting a date. If you 95 00:05:28,680 --> 00:05:30,960 Speaker 1: plan to have your children born in December instead of 96 00:05:32,080 --> 00:05:34,599 Speaker 1: January so you can maximize the discount of present value 97 00:05:34,640 --> 00:05:39,000 Speaker 1: of the child tax credit. And finally, you might be 98 00:05:39,040 --> 00:05:41,520 Speaker 1: an economist if be adamantly refused to sell your children 99 00:05:41,880 --> 00:05:49,680 Speaker 1: because you think they'll be worth more later. Thank you, 100 00:05:49,760 --> 00:06:00,800 Speaker 1: right your I thought that was really funny. I'm a 101 00:06:00,839 --> 00:06:03,560 Speaker 1: big fan of puns. The first time I've ever done 102 00:06:03,560 --> 00:06:07,880 Speaker 1: a podcast show by telephone to a group of five people, 103 00:06:08,120 --> 00:06:10,919 Speaker 1: I'm trying to convince Joe that there can be humor 104 00:06:11,080 --> 00:06:14,880 Speaker 1: in economics. Um, on that note, can you tell us 105 00:06:15,080 --> 00:06:17,440 Speaker 1: how you actually had this idea and how you got 106 00:06:17,480 --> 00:06:21,839 Speaker 1: into this gig? Yeah, it was. It was basically a 107 00:06:21,920 --> 00:06:24,840 Speaker 1: random coincidence. So while I was in graduate school at 108 00:06:24,839 --> 00:06:28,039 Speaker 1: the University of Washington getting my PhD in economics, I 109 00:06:28,080 --> 00:06:31,120 Speaker 1: wrote a parody of the Ten Principles of Economics in 110 00:06:31,200 --> 00:06:34,960 Speaker 1: a popular textbook by Harvard professor Greg Mankiw And uh, 111 00:06:35,400 --> 00:06:36,960 Speaker 1: just kind of did that to blow up team, because 112 00:06:36,960 --> 00:06:38,480 Speaker 1: that's what you do when you're in graduate school. And 113 00:06:38,520 --> 00:06:40,359 Speaker 1: then one thing led to another. It got published in 114 00:06:40,400 --> 00:06:43,320 Speaker 1: this chinest humor journal called the Animals of Improbable Research, 115 00:06:44,000 --> 00:06:45,719 Speaker 1: and then they run a humor session every year at 116 00:06:45,920 --> 00:06:48,440 Speaker 1: this thing science convention that happened to be in Seattle. 117 00:06:48,520 --> 00:06:51,400 Speaker 1: So they invited me to present my paper and I 118 00:06:51,440 --> 00:06:53,000 Speaker 1: had so much fun. I kind of got into stand 119 00:06:53,040 --> 00:06:55,760 Speaker 1: up comedy as a hobby. And then, um, I guess 120 00:06:55,760 --> 00:06:58,640 Speaker 1: two things happened after that. One was my academic career, 121 00:06:58,680 --> 00:07:00,920 Speaker 1: to be perfectly honest, and didn't go quite as well 122 00:07:00,960 --> 00:07:03,200 Speaker 1: as I hoped. Uh. And then the other thing was 123 00:07:03,240 --> 00:07:05,560 Speaker 1: it turned out that people were interested in paying me 124 00:07:05,600 --> 00:07:09,080 Speaker 1: to do stand up comedy about economics. So ten years later, 125 00:07:09,120 --> 00:07:12,120 Speaker 1: this is now my my profession. So this is your 126 00:07:12,120 --> 00:07:15,040 Speaker 1: full time thing. This is so what's the circuit? Like, 127 00:07:15,080 --> 00:07:18,720 Speaker 1: how often do you perform uh in a year? One? 128 00:07:18,720 --> 00:07:22,160 Speaker 1: Are the common venues and so far? Yeah, so this 129 00:07:22,200 --> 00:07:25,080 Speaker 1: is sort of my this is my paid job. Nobody 130 00:07:25,120 --> 00:07:26,760 Speaker 1: believes me, but this is how I make a living. 131 00:07:26,760 --> 00:07:29,000 Speaker 1: I do stand up comedy about economics. I have kind 132 00:07:29,000 --> 00:07:32,120 Speaker 1: of a full time, unpaid job working on on carbon 133 00:07:32,200 --> 00:07:35,680 Speaker 1: taxes and a carbon tax ballot measure here in Washington State, 134 00:07:35,720 --> 00:07:39,080 Speaker 1: and climate change issues and tax reform and stuff like that. Um, 135 00:07:39,440 --> 00:07:42,440 Speaker 1: but it's all financed by the miracle of economics comedy. 136 00:07:42,960 --> 00:07:46,960 Speaker 1: Mostly I do colleges and corporate events, and um, you know, 137 00:07:47,000 --> 00:07:50,520 Speaker 1: the colleges are sort of all over and then the 138 00:07:50,520 --> 00:07:54,040 Speaker 1: corporate events some of them are financial firms, but also 139 00:07:54,120 --> 00:07:59,000 Speaker 1: just trucking executives on the banks of the Arkansas River. Uh, 140 00:07:59,200 --> 00:08:01,520 Speaker 1: you know, the floor to bankers associate. How many gigs 141 00:08:01,560 --> 00:08:05,960 Speaker 1: do you do a year, Probably maybe fifty or sixty. So, 142 00:08:06,360 --> 00:08:08,280 Speaker 1: you know, a lot of people think of economics as 143 00:08:08,320 --> 00:08:11,680 Speaker 1: a really dry subject. Do you think something like that 144 00:08:11,760 --> 00:08:15,200 Speaker 1: lends itself to humor. Well, like those jokes that I 145 00:08:15,280 --> 00:08:17,720 Speaker 1: told you know that you might be an economist if jokes. 146 00:08:17,720 --> 00:08:19,680 Speaker 1: The reason those jokes work is because you have a 147 00:08:19,720 --> 00:08:22,520 Speaker 1: stereotype that you can play against. And so anytimes you 148 00:08:22,560 --> 00:08:25,160 Speaker 1: have stereotypes, you can kind of do comedy. And you know, 149 00:08:25,200 --> 00:08:28,240 Speaker 1: there are these obvious stereotypes about economists being sort of 150 00:08:28,320 --> 00:08:32,560 Speaker 1: hyper rational and focus on money and uh. And so 151 00:08:32,600 --> 00:08:35,120 Speaker 1: when you have that, then then then there's an opportunity 152 00:08:35,120 --> 00:08:37,720 Speaker 1: to do comedy. And the fact that the fact that 153 00:08:37,720 --> 00:08:40,600 Speaker 1: everybody has such low expectations makes it all the easier. 154 00:08:42,160 --> 00:08:45,319 Speaker 1: Like I've often found that low expect having low expectations 155 00:08:45,400 --> 00:08:47,400 Speaker 1: is one of the one of the great assets in life. 156 00:08:47,760 --> 00:08:50,040 Speaker 1: That's one reason why I like being an economist, because 157 00:08:50,760 --> 00:08:51,960 Speaker 1: I think there are a lot of people in the 158 00:08:51,960 --> 00:08:54,800 Speaker 1: world who tend to think that that other people should 159 00:08:54,840 --> 00:08:57,920 Speaker 1: be good people at heart, and then they're you know, 160 00:08:58,000 --> 00:09:00,720 Speaker 1: often disappointed when when people let them down. Own where 161 00:09:01,080 --> 00:09:03,400 Speaker 1: you study economics, and then you go into the world 162 00:09:03,400 --> 00:09:04,800 Speaker 1: thinking that everybody is going to be kind of a 163 00:09:04,840 --> 00:09:07,560 Speaker 1: self interested jerk, and it turns out that people are 164 00:09:07,960 --> 00:09:12,560 Speaker 1: oftentimes much better than that, Right, so you're pleasantly surprised. Yeah, 165 00:09:12,600 --> 00:09:15,600 Speaker 1: you get the benefits of low expectations. Yeah, I've never 166 00:09:15,600 --> 00:09:18,600 Speaker 1: really thought about that. That The sort of first building 167 00:09:18,600 --> 00:09:21,880 Speaker 1: block of economics is the assumption that everyone is going 168 00:09:21,960 --> 00:09:25,679 Speaker 1: to be selfish and cool and uh self, you know, 169 00:09:26,000 --> 00:09:29,079 Speaker 1: self maximizing all the time. But then as you learn more, 170 00:09:29,120 --> 00:09:31,960 Speaker 1: of course, and most economists don't really believe that, but 171 00:09:32,000 --> 00:09:35,600 Speaker 1: that as you learn more, the what happens is humans 172 00:09:35,600 --> 00:09:38,760 Speaker 1: surprise you to the to the upside. So that is 173 00:09:38,760 --> 00:09:41,360 Speaker 1: a kind of a nice thing about the economic worldview. 174 00:09:41,360 --> 00:09:43,360 Speaker 1: I've never really thought of it that way before. Yeah, 175 00:09:43,360 --> 00:09:45,199 Speaker 1: I mean, well, the way that I have a couple 176 00:09:45,240 --> 00:09:50,400 Speaker 1: of cartoon economics books that I co authored with illustrated 177 00:09:50,440 --> 00:09:52,320 Speaker 1: Grade de Klin, and the way we say it is 178 00:09:52,360 --> 00:09:55,920 Speaker 1: that is an economists assume that people are optimizing individuals, 179 00:09:56,400 --> 00:09:58,800 Speaker 1: and so that doesn't necessarily mean that they're optimizing just 180 00:09:58,880 --> 00:10:02,920 Speaker 1: for themselves, right No, Um, No, economists would say that 181 00:10:02,920 --> 00:10:05,400 Speaker 1: people just care about themselves and don't care about friends 182 00:10:05,480 --> 00:10:07,719 Speaker 1: or family or even people in other parts of the 183 00:10:07,760 --> 00:10:10,920 Speaker 1: world or animals or whatever. But you know, there are 184 00:10:10,960 --> 00:10:13,640 Speaker 1: a lot of cases where doing the economic models and 185 00:10:13,640 --> 00:10:15,520 Speaker 1: start of thinking through how the analysis works makes a 186 00:10:15,559 --> 00:10:17,400 Speaker 1: lot more offense when you when when you kind of 187 00:10:17,440 --> 00:10:19,760 Speaker 1: simplify things and say, okay, people are are kind of 188 00:10:19,800 --> 00:10:24,319 Speaker 1: basically self interested. Do you have counterparts and other academic fields? 189 00:10:24,320 --> 00:10:27,800 Speaker 1: Like is there a physics comedian, a chemistry comedian, Like 190 00:10:27,840 --> 00:10:30,880 Speaker 1: have you found those other other types? Yeah? You know, 191 00:10:30,920 --> 00:10:34,080 Speaker 1: for a while, we thought about putting together like a university, 192 00:10:34,440 --> 00:10:37,240 Speaker 1: like a comedy university, which I still think would be 193 00:10:37,240 --> 00:10:40,080 Speaker 1: an awesome idea, but it's never gone anywhere. Let's see, 194 00:10:40,080 --> 00:10:42,480 Speaker 1: who do I know. There's just the fellow whose website 195 00:10:42,480 --> 00:10:46,560 Speaker 1: is science comedian Brian Mallow, who's a former astronomer. He 196 00:10:46,600 --> 00:10:49,079 Speaker 1: talks about how he started in the comedy instead of 197 00:10:49,120 --> 00:10:54,400 Speaker 1: astronomy because they put him on the dayshift. Uh. There's 198 00:10:54,400 --> 00:10:57,280 Speaker 1: a fellow who actually gotta peach the neurobiologies means tim 199 00:10:57,360 --> 00:11:00,920 Speaker 1: Lee very funny. His website I his comedy of tim 200 00:11:01,000 --> 00:11:04,679 Speaker 1: Lee dot com. Uh. There's a guy, Bill Santiago who 201 00:11:05,160 --> 00:11:08,520 Speaker 1: wrote a book called Pardon My Spanglish, and he does 202 00:11:08,720 --> 00:11:10,560 Speaker 1: he actually does a stand up comedy in both English 203 00:11:10,559 --> 00:11:12,720 Speaker 1: and Spanish. He's of I think he's from New York, 204 00:11:12,720 --> 00:11:15,839 Speaker 1: but as of Puerto Rican descent, and he's he's super 205 00:11:15,840 --> 00:11:18,200 Speaker 1: funny and does a lot of comedy about language. So 206 00:11:18,320 --> 00:11:20,160 Speaker 1: I think it would be totally possible to do that, 207 00:11:20,240 --> 00:11:25,160 Speaker 1: to put together like a whole academic curriculum, uh, just 208 00:11:25,240 --> 00:11:29,080 Speaker 1: based on comedy. So, um, when you go off to 209 00:11:29,120 --> 00:11:32,840 Speaker 1: economic conferences and you do your stand up, do you 210 00:11:32,840 --> 00:11:35,600 Speaker 1: ever get economists who are just having none of it, 211 00:11:35,840 --> 00:11:39,560 Speaker 1: who are just completely humorless. I do occasionally get people 212 00:11:39,600 --> 00:11:42,440 Speaker 1: who think that, um, you know, I'm making fun of 213 00:11:42,480 --> 00:11:45,960 Speaker 1: a serious subject and maybe their socks were pulled on 214 00:11:46,000 --> 00:11:48,840 Speaker 1: too tight or something like that. But for the most part, 215 00:11:49,240 --> 00:11:52,840 Speaker 1: people appreciate that that you know, it's public education, and 216 00:11:52,880 --> 00:11:56,200 Speaker 1: it's it's Uh. I've taught high school as well as college, 217 00:11:56,240 --> 00:11:59,079 Speaker 1: and when you teach high school, one of the things 218 00:11:59,160 --> 00:12:02,360 Speaker 1: you learned is that motivate engine is incredibly important. Right 219 00:12:02,480 --> 00:12:04,760 Speaker 1: that that it's not that the students don't have the 220 00:12:04,760 --> 00:12:07,400 Speaker 1: book or don't have access to the materials, it's that 221 00:12:07,960 --> 00:12:11,240 Speaker 1: you know, they're lacking the uh. Sometimes they're they're they're 222 00:12:11,280 --> 00:12:14,160 Speaker 1: lacking the impetus to actually read the book, and um, 223 00:12:14,400 --> 00:12:16,199 Speaker 1: you know, and that's why I worked on these cartoon books. 224 00:12:16,200 --> 00:12:18,640 Speaker 1: And that's why, um, that's why I do some of 225 00:12:18,640 --> 00:12:21,480 Speaker 1: the comedy is is to motivate people to pick up 226 00:12:21,520 --> 00:12:24,319 Speaker 1: the book and maybe economics, it's kind of interesting who 227 00:12:24,360 --> 00:12:28,280 Speaker 1: are some of the funniest economists out there? Doesn't Austin 228 00:12:28,280 --> 00:12:31,599 Speaker 1: Goldsber do stand up? Other Austin all of us is 229 00:12:31,640 --> 00:12:34,440 Speaker 1: out there that who back meets of Chicago does stand up? 230 00:12:35,000 --> 00:12:36,719 Speaker 1: They're actually one of some the humor sessions that I 231 00:12:36,760 --> 00:12:40,200 Speaker 1: put on the American Economic Association meetings. It's usually me, 232 00:12:40,280 --> 00:12:43,160 Speaker 1: and then there's like four or five others, uh, folks 233 00:12:43,200 --> 00:12:48,400 Speaker 1: who just give they write papers on various things. Um. 234 00:12:48,440 --> 00:12:50,760 Speaker 1: The most recent one there's a Felling who presented the 235 00:12:50,840 --> 00:12:53,640 Speaker 1: paper on you know. The economists will sometimes do like 236 00:12:53,720 --> 00:12:56,040 Speaker 1: what's called non market valuation to try to figure out, 237 00:12:56,080 --> 00:12:58,640 Speaker 1: like how much do we value having you know, stam 238 00:12:58,640 --> 00:13:04,000 Speaker 1: in in the the Sacramento San Jachim river system. And 239 00:13:04,040 --> 00:13:07,240 Speaker 1: this paper was about using those same economic techniques to 240 00:13:07,240 --> 00:13:10,360 Speaker 1: figure out the value that salmon put on having salmon 241 00:13:10,440 --> 00:13:12,920 Speaker 1: in the river system, uh, and the values of the 242 00:13:12,920 --> 00:13:17,640 Speaker 1: sam having humans in the river system. Presumably salmon's value 243 00:13:17,760 --> 00:13:21,640 Speaker 1: being in the river greatly right. Well, it terms out 244 00:13:21,640 --> 00:13:25,000 Speaker 1: that they value their own lives quite highly. Yet, but 245 00:13:25,080 --> 00:13:28,319 Speaker 1: their value for for Smoltz for juvenile salmon is actually 246 00:13:28,400 --> 00:13:31,839 Speaker 1: relatively low and roughly comparable. I learned to their valuation 247 00:13:31,920 --> 00:13:36,240 Speaker 1: for juvenile human, which was it was determined by showing 248 00:13:36,240 --> 00:13:39,240 Speaker 1: salmon a picture of the Brady Bunch. Those were the 249 00:13:39,320 --> 00:13:43,000 Speaker 1: juvenile humans that they picked. U. It was a funny 250 00:13:43,000 --> 00:13:46,080 Speaker 1: papers on that topic. You're One of the reasons we 251 00:13:46,120 --> 00:13:49,560 Speaker 1: stumbled upon you was because we read this uh listical 252 00:13:49,600 --> 00:13:52,040 Speaker 1: I guess that you did, called the top eleven funniest 253 00:13:52,040 --> 00:13:55,120 Speaker 1: papers in the history of economics, and some of them 254 00:13:55,160 --> 00:13:58,040 Speaker 1: I had heard before, but some of them I had haven't. 255 00:13:58,120 --> 00:14:00,559 Speaker 1: And um I got to read out of the names 256 00:14:00,640 --> 00:14:05,200 Speaker 1: of these papers, the theory of Interstellar Trade by Paul Kirkman, uh, 257 00:14:05,240 --> 00:14:09,400 Speaker 1: the Effective Prayer on God's Attitude toward mankind, and what 258 00:14:09,559 --> 00:14:15,000 Speaker 1: is possibly my favorite is Japan's Phillips curve looks like 259 00:14:15,120 --> 00:14:19,160 Speaker 1: Japan by Gregor Smith. I love that one tell us 260 00:14:19,200 --> 00:14:22,280 Speaker 1: about these papers and why you think economists decide to 261 00:14:22,320 --> 00:14:26,280 Speaker 1: do them. So I've edited for a number of years 262 00:14:26,280 --> 00:14:28,720 Speaker 1: now the humor section of an economics journal, a real 263 00:14:28,760 --> 00:14:32,840 Speaker 1: economics journal called Economic Inquiry. Uh. So they published series 264 00:14:32,880 --> 00:14:35,320 Speaker 1: papers and then every quarter or every issue they try 265 00:14:35,360 --> 00:14:38,280 Speaker 1: to publish of what they call a miscellany piece, which 266 00:14:38,280 --> 00:14:40,520 Speaker 1: just serve a funny piece. So many of those papers, 267 00:14:41,080 --> 00:14:44,280 Speaker 1: including the Paul Cregman paper he's a Nobel prizewinner, the 268 00:14:44,360 --> 00:14:49,480 Speaker 1: Jim Heckman paper also in Prizewinner. We're published in Economic Inquiry. UM. 269 00:14:49,560 --> 00:14:51,920 Speaker 1: Japan's Phillips curve looks like Japan was actually published in 270 00:14:51,920 --> 00:14:54,120 Speaker 1: the Journal of Money, Credit and Banking, and it's almost 271 00:14:54,120 --> 00:14:56,800 Speaker 1: certainly the funniest paper ever published in the Journal of Money, 272 00:14:56,800 --> 00:15:00,200 Speaker 1: Credit and Banking. UM. I think people do it kind 273 00:15:00,200 --> 00:15:03,640 Speaker 1: of on a on a on a lark um. Either 274 00:15:03,800 --> 00:15:06,400 Speaker 1: something you know, naws at them, which is kind of 275 00:15:06,400 --> 00:15:07,960 Speaker 1: where I ended up with this parody of the Ten 276 00:15:08,000 --> 00:15:10,920 Speaker 1: Principles of economics, or a lot of times they just 277 00:15:10,960 --> 00:15:15,000 Speaker 1: come across hath hazardly something something that that that triggers 278 00:15:15,040 --> 00:15:17,720 Speaker 1: this idea. So Japan's Philip curve looks like Japan. Right 279 00:15:17,720 --> 00:15:19,840 Speaker 1: at the background is the Philips curve. Was this idea 280 00:15:19,880 --> 00:15:21,880 Speaker 1: from the fifties and sixties, and there's a trade off 281 00:15:21,880 --> 00:15:25,400 Speaker 1: between inflation and unemployment, you have high inflation and low 282 00:15:25,480 --> 00:15:29,640 Speaker 1: unemployment or the opposite. But the idea was that you 283 00:15:29,680 --> 00:15:32,240 Speaker 1: were always on that Phillips curve line. And so what 284 00:15:32,360 --> 00:15:35,000 Speaker 1: this economist was doing he was actually looking at Philips 285 00:15:35,000 --> 00:15:38,800 Speaker 1: curve data for Japan and and graph to Philips curve 286 00:15:38,840 --> 00:15:42,440 Speaker 1: data for Japan between h I think it was like 287 00:15:43,480 --> 00:15:46,280 Speaker 1: thousand and five, and when he looked at the graph, 288 00:15:46,400 --> 00:15:49,720 Speaker 1: it just happened to look like a map of Japan. 289 00:15:50,680 --> 00:15:53,240 Speaker 1: Uh So he wrote this paper. There's actually a link 290 00:15:53,280 --> 00:15:54,840 Speaker 1: on his website of the paper and the link so 291 00:15:55,120 --> 00:15:57,720 Speaker 1: that the title of this paper is also the abstract 292 00:15:57,760 --> 00:16:00,720 Speaker 1: and frankly most of the text which is which is 293 00:16:00,760 --> 00:16:03,800 Speaker 1: pretty great. So that was what led him to write 294 00:16:03,800 --> 00:16:07,160 Speaker 1: that paper. There was another paper called the Efficiency of 295 00:16:07,200 --> 00:16:09,720 Speaker 1: a C d C and looked at the rock group 296 00:16:09,800 --> 00:16:12,960 Speaker 1: a C D C. And uh, I don't know how 297 00:16:13,000 --> 00:16:14,320 Speaker 1: they give a fan you are of a c DC, 298 00:16:14,440 --> 00:16:17,200 Speaker 1: but they had two front men, two main singers, Von 299 00:16:17,280 --> 00:16:20,200 Speaker 1: Scott and Brian Johnson. And apparently there's been a debate 300 00:16:20,240 --> 00:16:23,520 Speaker 1: among mel heads ever since about which of them was 301 00:16:23,560 --> 00:16:25,920 Speaker 1: the better front man for a C d C. And 302 00:16:25,960 --> 00:16:30,400 Speaker 1: so there was this economist, Rob Oxby in Canada who 303 00:16:30,520 --> 00:16:33,440 Speaker 1: was doing his research who was doing serious research. His 304 00:16:33,520 --> 00:16:38,120 Speaker 1: research was about how background music affects people's decision making, 305 00:16:39,320 --> 00:16:42,600 Speaker 1: and so some of the songs that he had his 306 00:16:42,680 --> 00:16:44,840 Speaker 1: graduate students or whatever playing the background were some of 307 00:16:44,880 --> 00:16:46,640 Speaker 1: these A C d C songs and they were trying 308 00:16:46,680 --> 00:16:48,920 Speaker 1: to figure out whether the background music affected like when 309 00:16:48,920 --> 00:16:52,560 Speaker 1: people were negotiating, how does it affect that outcome of negotiations? 310 00:16:52,640 --> 00:16:56,840 Speaker 1: And it turned out that the graduate student kind of 311 00:16:56,880 --> 00:17:00,360 Speaker 1: accidentally played two different A c DC songs during some 312 00:17:00,400 --> 00:17:03,520 Speaker 1: of these experiments, and that ruined the data for the 313 00:17:03,560 --> 00:17:08,159 Speaker 1: actual paper, but it gave him this idea for this 314 00:17:08,280 --> 00:17:11,399 Speaker 1: joke paper where you can use the results because the 315 00:17:11,440 --> 00:17:13,480 Speaker 1: two A c DC songs one was a Brian Johnson 316 00:17:13,560 --> 00:17:15,680 Speaker 1: fil one was a Bond scott You can use those 317 00:17:15,720 --> 00:17:18,679 Speaker 1: results to figure out that Brian Johnson. In fact, if 318 00:17:18,680 --> 00:17:21,000 Speaker 1: you're negotiating, you want to listen to the Brian Johnson 319 00:17:21,080 --> 00:17:23,719 Speaker 1: A CDC songs and not the Bond Scotland. Yeah. Can 320 00:17:23,760 --> 00:17:25,480 Speaker 1: I just read from the abstract of that A C 321 00:17:25,640 --> 00:17:28,280 Speaker 1: d C paper It says we use tools from experimental 322 00:17:28,320 --> 00:17:31,320 Speaker 1: economics to address the age old debate regarding who was 323 00:17:31,320 --> 00:17:33,159 Speaker 1: a better singer in the band A c d C. 324 00:17:33,800 --> 00:17:37,520 Speaker 1: These results may have important implications for settling drunken music 325 00:17:37,520 --> 00:17:42,840 Speaker 1: debates and environmental design issues and organizations. I love that. Yeah, 326 00:17:43,720 --> 00:17:45,919 Speaker 1: there's There was a follow up humor piece which was 327 00:17:45,960 --> 00:17:49,600 Speaker 1: that after this, uh, after he released this on his 328 00:17:49,640 --> 00:17:51,480 Speaker 1: website or posted the paper on his website, it was 329 00:17:51,520 --> 00:17:53,560 Speaker 1: picked up. It was, it was. It wasn't the newspapers 330 00:17:53,600 --> 00:17:55,600 Speaker 1: like in Australia, right, which is where a c DC 331 00:17:55,760 --> 00:17:58,000 Speaker 1: comes from. So it actually got a ton of press, 332 00:17:58,720 --> 00:18:00,480 Speaker 1: and then Steve Levitt picked it. I blew it as 333 00:18:00,520 --> 00:18:03,280 Speaker 1: the universe of Chicago. He's one of the authors of Freakonomics, 334 00:18:04,160 --> 00:18:06,199 Speaker 1: and he wrote a blog post about it. But he 335 00:18:06,200 --> 00:18:09,840 Speaker 1: didn't realize that the paper was a joke, so he 336 00:18:09,840 --> 00:18:11,600 Speaker 1: wrote a blog post about it that was called this 337 00:18:11,640 --> 00:18:13,919 Speaker 1: is what happens to economists and they listen to too 338 00:18:14,000 --> 00:18:17,480 Speaker 1: much a c d uh. You know. He wrote, like, 339 00:18:17,560 --> 00:18:20,240 Speaker 1: I hope for this guy's sake that he has tenure 340 00:18:20,600 --> 00:18:22,639 Speaker 1: in rawbos to be excited to post a comment on 341 00:18:22,720 --> 00:18:25,119 Speaker 1: his blog on Steve Lennart's blog saying, first of all, 342 00:18:25,160 --> 00:18:26,840 Speaker 1: I already have tenures, thank you very much. And the 343 00:18:26,880 --> 00:18:31,119 Speaker 1: second of all, the papers a joke, So what are 344 00:18:31,119 --> 00:18:34,400 Speaker 1: you up to now. You mentioned the carbon text thing. 345 00:18:34,480 --> 00:18:38,560 Speaker 1: But outside of your stand up, what what occupies your time? 346 00:18:39,760 --> 00:18:43,480 Speaker 1: I am, um working on another cartoon book. So my 347 00:18:43,520 --> 00:18:46,240 Speaker 1: co author and I have two cartoon books about economics. 348 00:18:47,480 --> 00:18:50,240 Speaker 1: We have a cartoon instruction to climate change and we 349 00:18:50,280 --> 00:18:53,560 Speaker 1: are working on a cartoon introduction to calculums. So the 350 00:18:53,600 --> 00:18:57,120 Speaker 1: cartoon books are really fun. And you know, in America especially, 351 00:18:57,400 --> 00:18:59,480 Speaker 1: I think cartoon books have kind of a little bit 352 00:18:59,480 --> 00:19:02,040 Speaker 1: of a bad People think that they're quote unquote just 353 00:19:02,080 --> 00:19:04,919 Speaker 1: for kids. But I've actually come to really appreciate them 354 00:19:04,920 --> 00:19:08,720 Speaker 1: as a way to convey information to audiences of all ages. 355 00:19:08,760 --> 00:19:10,600 Speaker 1: I mean, they're very accessible, they provide a way to 356 00:19:10,920 --> 00:19:13,159 Speaker 1: do humor, and when you do a cartoon book, you 357 00:19:13,160 --> 00:19:15,240 Speaker 1: don't have to, um, I feel like you need to 358 00:19:15,240 --> 00:19:18,520 Speaker 1: put footnotes on everything and say two hundred pages what 359 00:19:18,560 --> 00:19:22,240 Speaker 1: you can say in uh, you know, in twenty pages. Uh. 360 00:19:22,280 --> 00:19:24,400 Speaker 1: And then I'm spending a lot of time working on 361 00:19:25,080 --> 00:19:28,840 Speaker 1: this carbon tax reform campaign here in Washington State. It's 362 00:19:28,880 --> 00:19:32,320 Speaker 1: actually a ballot measure, Initiative seven thirty two, which just 363 00:19:32,440 --> 00:19:35,560 Speaker 1: qualified for the ballot. We Are campaign gathered three hundred 364 00:19:35,600 --> 00:19:38,760 Speaker 1: and sixty three thousand signatures last year and it's a 365 00:19:38,760 --> 00:19:41,720 Speaker 1: pretty neat campaign. The idea is that, you know, we 366 00:19:41,760 --> 00:19:44,359 Speaker 1: have a moral responsibility to take action on climate change, 367 00:19:44,400 --> 00:19:45,679 Speaker 1: and the way to do it is to have a 368 00:19:45,680 --> 00:19:48,560 Speaker 1: carbon tax, use market instruments, so you have a carbon tax, 369 00:19:48,840 --> 00:19:50,960 Speaker 1: and then use the revenue from the carbon tax to 370 00:19:51,040 --> 00:19:54,160 Speaker 1: reduce existing taxes. So we cut the state sales tax 371 00:19:54,200 --> 00:19:57,240 Speaker 1: by a point um uh and reduce some other taxes 372 00:19:57,520 --> 00:20:00,320 Speaker 1: for businesses and for low income households. Then that was 373 00:20:00,359 --> 00:20:02,520 Speaker 1: actually the idea that that brought me into economics in 374 00:20:02,520 --> 00:20:04,200 Speaker 1: the first place. So it's kind of this idea of 375 00:20:04,280 --> 00:20:06,840 Speaker 1: environmental text re form, that we can use the tools 376 00:20:06,840 --> 00:20:09,880 Speaker 1: of economics and the power of capitalism to protect the environment. 377 00:20:10,240 --> 00:20:12,840 Speaker 1: It's a big thing that that that's in my life 378 00:20:12,920 --> 00:20:15,000 Speaker 1: right now, in addition to my wife and my eighteen 379 00:20:15,040 --> 00:20:17,960 Speaker 1: months old baby. Well, our producers are signaling that we 380 00:20:18,000 --> 00:20:20,920 Speaker 1: need to cut the fun short. So one last thing 381 00:20:21,080 --> 00:20:23,280 Speaker 1: before you go, can can you tell us one final 382 00:20:23,400 --> 00:20:26,040 Speaker 1: economics joke, like a one liner that we can use 383 00:20:26,080 --> 00:20:30,199 Speaker 1: in our daily lives. Let's see, do I have a 384 00:20:30,320 --> 00:20:33,879 Speaker 1: good joke? I mean, I can tell you the oldest 385 00:20:33,920 --> 00:20:36,600 Speaker 1: economics joke in the world if you want. Yeah, the 386 00:20:36,600 --> 00:20:39,560 Speaker 1: oldest economist joke in the world is about a physicist, 387 00:20:39,560 --> 00:20:42,439 Speaker 1: the chemist, an economist who are stranded on a desert 388 00:20:42,480 --> 00:20:44,159 Speaker 1: island and they don't have any food, and then a 389 00:20:44,200 --> 00:20:46,800 Speaker 1: can of beans washes up on the shore, but they 390 00:20:46,840 --> 00:20:48,600 Speaker 1: don't have a way to open the can of beans, 391 00:20:48,600 --> 00:20:50,560 Speaker 1: and the physicists as well, we'll just crack it against 392 00:20:50,600 --> 00:20:53,119 Speaker 1: the rock here and do some calculations and we use 393 00:20:53,160 --> 00:20:55,320 Speaker 1: this velocity and then the canna beans will open. And 394 00:20:55,359 --> 00:20:57,439 Speaker 1: the chemist says, no, no, no, that's too complicated. We'll 395 00:20:57,480 --> 00:20:59,240 Speaker 1: put the Canadians in the salt water and it will 396 00:20:59,280 --> 00:21:01,399 Speaker 1: corrode and that it as much time. You know, we 397 00:21:01,440 --> 00:21:03,720 Speaker 1: can eat two Cannabians. And the economist is not, it's 398 00:21:03,720 --> 00:21:06,160 Speaker 1: just too hard. Let's just assume we have a can opener. 399 00:21:07,080 --> 00:21:08,840 Speaker 1: I love that joke. I've heard that before, but I 400 00:21:08,840 --> 00:21:11,320 Speaker 1: think it's a great joke. Yes, this is this is 401 00:21:11,640 --> 00:21:14,960 Speaker 1: the this is the only joker, the only economics joke 402 00:21:15,040 --> 00:21:17,480 Speaker 1: that in the in the world that uh that most 403 00:21:17,480 --> 00:21:20,160 Speaker 1: people think of. So that's the assuming can open or joke. 404 00:21:20,359 --> 00:21:23,119 Speaker 1: And it's ironic that I told it on your podcast 405 00:21:23,160 --> 00:21:24,520 Speaker 1: because a great deal of the work that I do 406 00:21:24,600 --> 00:21:27,040 Speaker 1: with stand up economics is trying to convince people. O, 407 00:21:27,119 --> 00:21:30,040 Speaker 1: there's more economics comedy out there than the than the 408 00:21:30,080 --> 00:21:33,920 Speaker 1: assuming canto. All right, thank you so much for joining. 409 00:21:33,920 --> 00:21:40,639 Speaker 1: Thanks today, my pleasure. Thanks so much, Joe. Did I 410 00:21:40,800 --> 00:21:44,320 Speaker 1: convince you that it's fun to have fun? I thought 411 00:21:44,359 --> 00:21:46,720 Speaker 1: he was awesome, But you know what the big picture 412 00:21:46,880 --> 00:21:50,639 Speaker 1: is to me. The fact that there's someone who makes 413 00:21:50,640 --> 00:21:53,960 Speaker 1: a living being a stand up comedian first stand up economists, 414 00:21:54,119 --> 00:21:56,520 Speaker 1: like what a country like this is just so awesome. 415 00:21:56,600 --> 00:21:59,919 Speaker 1: I'm just so glad to know that. I just assume 416 00:22:00,320 --> 00:22:02,680 Speaker 1: that he was a professor somewhere and this is a 417 00:22:02,720 --> 00:22:05,160 Speaker 1: little side thing. For some reason, it makes me really 418 00:22:05,200 --> 00:22:08,480 Speaker 1: happy to know that someone can make a living being 419 00:22:08,480 --> 00:22:10,800 Speaker 1: a stand up economist. I wouldn't say what a country, 420 00:22:10,800 --> 00:22:14,800 Speaker 1: I would say what a labor market exactly. I thought 421 00:22:14,800 --> 00:22:16,640 Speaker 1: it was a great discussion, and I'm a big fan 422 00:22:16,720 --> 00:22:20,159 Speaker 1: of all these semi ridiculous economics papers, so it was 423 00:22:20,240 --> 00:22:22,439 Speaker 1: fun to bring up some of those favorites. And I 424 00:22:22,480 --> 00:22:25,680 Speaker 1: am also just a sort of a from a philosophy 425 00:22:25,680 --> 00:22:28,040 Speaker 1: of comedy angle. I love this idea about how they're 426 00:22:28,320 --> 00:22:31,240 Speaker 1: equivalence to him in all these different areas, and how 427 00:22:31,280 --> 00:22:34,760 Speaker 1: there are certain superstructures of jokes like you might be 428 00:22:34,960 --> 00:22:38,200 Speaker 1: an economist if are these sort of structures of jokes 429 00:22:38,200 --> 00:22:39,800 Speaker 1: that we all know that they could be applied to 430 00:22:39,880 --> 00:22:42,119 Speaker 1: really niche field. And I'm sure you could probably go 431 00:22:42,359 --> 00:22:45,600 Speaker 1: really deep into economics. You know, you might be a 432 00:22:45,640 --> 00:22:49,639 Speaker 1: financial economist if and get even further in the weeds. 433 00:22:49,720 --> 00:22:52,000 Speaker 1: So I love the way that works out. I really 434 00:22:52,000 --> 00:22:56,320 Speaker 1: want that comedy university to happen. Fingers crossed. All right, 435 00:22:56,400 --> 00:22:59,040 Speaker 1: I'm Tracy Alloway. You can follow me on Twitter at 436 00:22:59,080 --> 00:23:02,560 Speaker 1: Tracy Alloway. And I'm Joe Wisenthal. You can follow me 437 00:23:02,600 --> 00:23:05,040 Speaker 1: on Twitter at the Star Warm. Thanks for listening to 438 00:23:05,080 --> 00:23:17,040 Speaker 1: another episode of add Bloats. 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