1 00:00:15,356 --> 00:00:15,796 Speaker 1: Pushkin. 2 00:00:20,316 --> 00:00:24,356 Speaker 2: Welcome to the bonus Holiday special Atlanta, theine edition of 3 00:00:24,396 --> 00:00:29,716 Speaker 2: Revisionist History, Part two. A word before we begin. There 4 00:00:29,836 --> 00:00:33,956 Speaker 2: is no overarching theme to what follows. No beginning, no middle, 5 00:00:34,036 --> 00:00:38,916 Speaker 2: no end, no single compelling through line. My editor Julia Barton, 6 00:00:39,036 --> 00:00:42,236 Speaker 2: who is normally lovely, actually got all grumpy about doing 7 00:00:42,236 --> 00:00:45,156 Speaker 2: this episode, so grumpy in fact, that I thought I 8 00:00:45,196 --> 00:00:47,756 Speaker 2: should let her put in her two cents before we 9 00:00:47,836 --> 00:00:48,276 Speaker 2: get going. 10 00:00:49,116 --> 00:00:50,036 Speaker 3: Okay, I thought about it. 11 00:00:50,076 --> 00:00:52,716 Speaker 4: Some more Happy holidays, Malcolm. 12 00:00:53,556 --> 00:00:55,436 Speaker 1: From here on out, you're on your own. 13 00:00:56,996 --> 00:01:00,196 Speaker 2: All right, all right, all right, here's my feeling. If 14 00:01:00,276 --> 00:01:03,316 Speaker 2: there is anything in the world that unites my fellow 15 00:01:03,476 --> 00:01:07,876 Speaker 2: revisionist historians, it is our endless appetite for wandering down 16 00:01:08,036 --> 00:01:14,356 Speaker 2: empty corridors and poking through the cobwebs of the half 17 00:01:14,356 --> 00:01:25,436 Speaker 2: baked and the marginal. By the way, do you have 18 00:01:25,516 --> 00:01:28,236 Speaker 2: anything better to do? No, you don't, and no do I. 19 00:01:28,236 --> 00:01:30,836 Speaker 2: I've been cooped up in my house for nine months, 20 00:01:30,996 --> 00:01:32,236 Speaker 2: and I'm moving my mind. 21 00:01:33,516 --> 00:01:49,196 Speaker 1: And dreaming of Atlanta. 22 00:01:50,556 --> 00:01:54,916 Speaker 2: So I'm just going to answer a few more random 23 00:01:54,996 --> 00:01:59,716 Speaker 2: questions from you, my listeners. Lucas Nicholson asks on Twitter, 24 00:02:00,236 --> 00:02:04,636 Speaker 2: what's your favorite memory of your father. Okay, As you know, 25 00:02:04,916 --> 00:02:07,196 Speaker 2: my dad comes up on the show every now and again. 26 00:02:07,556 --> 00:02:09,996 Speaker 2: I like to refer to him as the patron saint 27 00:02:10,076 --> 00:02:14,316 Speaker 2: of Revision's history, because, among other things, Graham Glabo was 28 00:02:14,356 --> 00:02:17,716 Speaker 2: a deeply mischievous man in a way that we strive 29 00:02:17,876 --> 00:02:21,276 Speaker 2: every day to emulate here at Pushkin. Oh, I should 30 00:02:21,276 --> 00:02:25,356 Speaker 2: point out, why do we call Pushkin Pushkin? Not because 31 00:02:25,396 --> 00:02:29,196 Speaker 2: we have some pretentious intellectual connection to the famous Russian poet. 32 00:02:29,556 --> 00:02:32,636 Speaker 2: Well kind of, it's half of it. The other half 33 00:02:32,716 --> 00:02:36,876 Speaker 2: is Graham Glabo named our family's first dog growing up, Pushkin, 34 00:02:37,476 --> 00:02:40,876 Speaker 2: a floppy eared Shepherd lab mix, and have always loved 35 00:02:40,876 --> 00:02:43,956 Speaker 2: the name. My dad also named his garden Rhodo Tiller 36 00:02:44,356 --> 00:02:48,876 Speaker 2: Alexander after Alexander the Great, and his garden cart Rufus 37 00:02:49,276 --> 00:02:52,396 Speaker 2: after the English king, King William the Second, otherwise known 38 00:02:52,436 --> 00:02:57,116 Speaker 2: as William Rufus. He really liked to name things. My 39 00:02:57,276 --> 00:03:00,796 Speaker 2: dad was English. In the nineteen fifties, he meets my mother, 40 00:03:01,076 --> 00:03:03,596 Speaker 2: they get married, and a few years later they move 41 00:03:03,676 --> 00:03:06,116 Speaker 2: back to Jamaica, where my mother is from, and my 42 00:03:06,236 --> 00:03:09,756 Speaker 2: father teaches mathematics at the University of the West Indies 43 00:03:10,276 --> 00:03:12,276 Speaker 2: UI as it's called in Kingston. 44 00:03:12,356 --> 00:03:12,836 Speaker 1: Jamaica. 45 00:03:13,716 --> 00:03:16,876 Speaker 2: Parenthetically, while he's there, who does he meet and try 46 00:03:16,916 --> 00:03:21,236 Speaker 2: to encourage to take mathematics? Donald Harris, father of future 47 00:03:21,316 --> 00:03:29,916 Speaker 2: Vice President Kamala Harris. Small world anyway, So my dad 48 00:03:29,996 --> 00:03:32,916 Speaker 2: is working on some crazily complex bit of math, and 49 00:03:32,996 --> 00:03:35,676 Speaker 2: this is before the Internet. Of course, if you needed 50 00:03:35,716 --> 00:03:38,476 Speaker 2: to read some crucial bit of scholarship, you had to 51 00:03:38,476 --> 00:03:41,596 Speaker 2: go to an actual library. And he realizes the closest 52 00:03:41,636 --> 00:03:44,396 Speaker 2: library that has the books he needs is at Georgia 53 00:03:44,436 --> 00:03:47,836 Speaker 2: Tech in Atlanta. So he writes the chair of the 54 00:03:47,836 --> 00:03:50,436 Speaker 2: math department at Georgia Tech, can I come and use 55 00:03:50,476 --> 00:03:52,556 Speaker 2: your library stay on campus for a bit while I 56 00:03:52,596 --> 00:03:55,716 Speaker 2: do my research? They say, of course. He starts to 57 00:03:55,756 --> 00:04:00,116 Speaker 2: plan his trip vote from Kingston to Miami, bus from 58 00:04:00,156 --> 00:04:04,916 Speaker 2: Miami to Georgia. This is nineteen fifty nine. Georgia Tech 59 00:04:05,196 --> 00:04:09,356 Speaker 2: is still a segregated institution and the administration realizes that 60 00:04:09,436 --> 00:04:12,196 Speaker 2: the head of the math department has just extended an 61 00:04:12,236 --> 00:04:16,516 Speaker 2: invitation to a professor from the University of the West Indies, 62 00:04:16,956 --> 00:04:22,276 Speaker 2: a place chock full a black people. Panic sweeps through 63 00:04:22,316 --> 00:04:25,836 Speaker 2: Georgia Tech. They start calling around other math departments. Does 64 00:04:25,876 --> 00:04:29,156 Speaker 2: anyone know a Graham Gladwell no one does, because my 65 00:04:29,236 --> 00:04:32,716 Speaker 2: dad is twenty five years old. He's a nobody. Finally, 66 00:04:33,156 --> 00:04:35,396 Speaker 2: just before my dad is about to leave Jamaica, they 67 00:04:35,516 --> 00:04:39,676 Speaker 2: manage to reach him by phone. Professor Gladwell, I have 68 00:04:39,716 --> 00:04:45,076 Speaker 2: an important question for you. Are you white? My father says, why, yes, 69 00:04:45,116 --> 00:04:48,756 Speaker 2: I am, and the Georgia Tech guy says, oh, thank god. 70 00:04:53,036 --> 00:04:56,116 Speaker 2: Now my dad doesn't say anything at the time, because 71 00:04:56,116 --> 00:04:58,836 Speaker 2: that's the way he was. I'll poker face. But when 72 00:04:58,876 --> 00:05:01,476 Speaker 2: he finally gets to Atlanta, a bunch of people from 73 00:05:01,516 --> 00:05:04,396 Speaker 2: the university take him out to dinner and he announces 74 00:05:04,436 --> 00:05:08,196 Speaker 2: to the group, gentlemen, I've just gotten married. I want 75 00:05:08,276 --> 00:05:11,116 Speaker 2: you to see a picture my lovely bride, and passes 76 00:05:11,116 --> 00:05:16,236 Speaker 2: a photo of Joyce gladwell sister around the table. I 77 00:05:16,276 --> 00:05:18,996 Speaker 2: think you can see why he's the patron saint. 78 00:05:18,916 --> 00:05:20,716 Speaker 1: Of Revision's history. 79 00:05:26,316 --> 00:05:28,476 Speaker 2: It's funny. I hadn't thought about that story for a 80 00:05:28,476 --> 00:05:31,836 Speaker 2: long time, but Lucas Nicholson's question inspired me to do 81 00:05:32,036 --> 00:05:35,156 Speaker 2: a follow up. So a few weeks ago, I called 82 00:05:35,196 --> 00:05:37,756 Speaker 2: up the dean of computer science at Georgia Tech, an 83 00:05:37,876 --> 00:05:41,996 Speaker 2: artificial intelligence researcher named Charles I isbel I'm going to 84 00:05:42,036 --> 00:05:44,836 Speaker 2: warn you this is a tangent, But as Himon Roth 85 00:05:45,036 --> 00:05:50,356 Speaker 2: said to Michael Corleone, tangents are the business we've chosen. Yeah, 86 00:05:50,596 --> 00:05:52,436 Speaker 2: tell me a little bit about your own are you 87 00:05:52,596 --> 00:05:53,556 Speaker 2: Are you from Atlanta? 88 00:05:54,116 --> 00:05:55,996 Speaker 5: Yes, Well, as you can tell by my accent, I'm 89 00:05:56,036 --> 00:05:59,236 Speaker 5: from Chattanooga, Tennessee. But my earliest memory is arriving in 90 00:05:59,236 --> 00:06:01,036 Speaker 5: Atlanta on a moving truck at the age of three. 91 00:06:01,196 --> 00:06:02,836 Speaker 5: So I think of myself as being from Ataint. Yeah. 92 00:06:02,916 --> 00:06:05,156 Speaker 2: And did you do your undergrad at Georgia Tech? 93 00:06:05,196 --> 00:06:06,916 Speaker 5: I did undergrad at Georgia Tech, and I did my 94 00:06:07,116 --> 00:06:08,556 Speaker 5: master's and PhD and mit. 95 00:06:09,196 --> 00:06:12,396 Speaker 2: Oh I see, so but you are you consider yourself? 96 00:06:12,396 --> 00:06:13,076 Speaker 2: You're in Atlanta? 97 00:06:13,076 --> 00:06:14,716 Speaker 1: And oh yes? 98 00:06:15,356 --> 00:06:18,796 Speaker 2: And through through is Bell then told me the following story. 99 00:06:19,156 --> 00:06:22,276 Speaker 5: We started the first online masters of science and computer 100 00:06:22,356 --> 00:06:25,556 Speaker 5: science from a large elite university. Give you a sense 101 00:06:25,556 --> 00:06:28,596 Speaker 5: of scale of that, we had zero students and as 102 00:06:28,636 --> 00:06:32,396 Speaker 5: of this past semester we have about eleven thousand. So 103 00:06:32,436 --> 00:06:34,956 Speaker 5: we went from zero to eleven thousand in less than 104 00:06:35,036 --> 00:06:35,596 Speaker 5: six years. 105 00:06:35,836 --> 00:06:38,116 Speaker 2: For around six and a half thousand dollars, you can 106 00:06:38,156 --> 00:06:41,836 Speaker 2: now get a Master's of Computer Science from Georgia Tech online, 107 00:06:42,116 --> 00:06:45,356 Speaker 2: as opposed to the forty six thousand dollars it would 108 00:06:45,396 --> 00:06:49,396 Speaker 2: cost you on campus, same professors, same course materials, same 109 00:06:49,396 --> 00:06:50,436 Speaker 2: academic standards. 110 00:06:50,596 --> 00:06:53,516 Speaker 5: So once you accept this larger idea, you start asking yourself, Okay, well, 111 00:06:53,516 --> 00:06:55,396 Speaker 5: if we want to educate everyone, if we want to 112 00:06:55,396 --> 00:06:57,596 Speaker 5: truly be accessible and live up to this idea, then 113 00:06:57,916 --> 00:07:00,036 Speaker 5: where can we go? Who can we talk to? So 114 00:07:00,436 --> 00:07:04,516 Speaker 5: I took a trip for somewhat unrelated reasons to Kenya 115 00:07:05,436 --> 00:07:09,676 Speaker 5: and visited Kenya, ended up visiting Nigeria and a few 116 00:07:09,676 --> 00:07:12,236 Speaker 5: other countries in Sub Saharan Africa and started meeting with 117 00:07:12,316 --> 00:07:15,276 Speaker 5: people there, and I came to the conclusion that this 118 00:07:15,436 --> 00:07:20,076 Speaker 5: is a population where you have a large amount of 119 00:07:20,156 --> 00:07:24,076 Speaker 5: untapped talent, people who are really interested in figuring out 120 00:07:24,116 --> 00:07:27,756 Speaker 5: how to get formal education in computing and in computer science. 121 00:07:28,116 --> 00:07:30,636 Speaker 2: Is Bill and his colleagues began traveling to Africa all 122 00:07:30,676 --> 00:07:33,836 Speaker 2: the time. Their goal is to make Georgia Tech the 123 00:07:33,876 --> 00:07:38,636 Speaker 2: world's number one educator of IT talent in Sub Saharan Africa. 124 00:07:39,396 --> 00:07:41,436 Speaker 2: Does it make a difference that you're an African American 125 00:07:41,476 --> 00:07:44,356 Speaker 2: when you're making this case for Georgia Tech in Africa? 126 00:07:44,436 --> 00:07:49,596 Speaker 5: I think it does certainly. The conversations I've had make 127 00:07:49,676 --> 00:07:51,916 Speaker 5: me think that it does. I think people are excited 128 00:07:52,556 --> 00:07:55,956 Speaker 5: that there's someone over here who wants to have those conversations. 129 00:07:56,316 --> 00:07:59,196 Speaker 2: Then I told Isbell the story about my dad. I 130 00:07:59,236 --> 00:08:01,436 Speaker 2: feel like there's something First of all, he would have 131 00:08:01,476 --> 00:08:03,556 Speaker 2: been so happy to hear about what's happening now at 132 00:08:03,556 --> 00:08:06,676 Speaker 2: Georgia Tech. But just this wonderful story about how, in 133 00:08:06,676 --> 00:08:11,196 Speaker 2: the space of sixty years the institution has gone from 134 00:08:11,356 --> 00:08:15,156 Speaker 2: turning its back on people even if they suspect them 135 00:08:15,356 --> 00:08:19,676 Speaker 2: of being black, to like opening up its doors to 136 00:08:19,716 --> 00:08:22,876 Speaker 2: sub Saharan Africa. I think that's I don't know, I 137 00:08:23,556 --> 00:08:24,116 Speaker 2: was moved. 138 00:08:24,836 --> 00:08:26,716 Speaker 5: Well, you know, I'm glad to hear you say that. 139 00:08:26,756 --> 00:08:29,396 Speaker 5: It's actually a remarkable thing, particularly when you put it 140 00:08:29,436 --> 00:08:29,756 Speaker 5: like that. 141 00:08:30,436 --> 00:08:33,236 Speaker 2: Today, Georgia Tech is one of the largest producers of 142 00:08:33,316 --> 00:08:37,516 Speaker 2: black engineers, Hispanic engineers, and Asian engineers in the country. 143 00:08:37,876 --> 00:08:40,356 Speaker 2: It has more black undergrads who go on to do 144 00:08:40,396 --> 00:08:44,196 Speaker 2: PhDs in computer science than any other American university. 145 00:08:44,836 --> 00:08:46,876 Speaker 5: Yeah, you know, I have these I talk to people 146 00:08:46,916 --> 00:08:49,716 Speaker 5: all the time, and you know, they asked me about 147 00:08:49,756 --> 00:08:51,356 Speaker 5: my life story and the things that I've gone through, 148 00:08:51,396 --> 00:08:54,276 Speaker 5: positive and negative, and and I was having this conversation 149 00:08:54,316 --> 00:08:56,276 Speaker 5: with some of the other day, and you know, I 150 00:08:56,316 --> 00:08:58,236 Speaker 5: was telling about, you know, interactions I've had with the 151 00:08:58,236 --> 00:09:00,636 Speaker 5: police in my younger days that didn't go very well, 152 00:09:00,676 --> 00:09:02,796 Speaker 5: and things people had said to me over the years. 153 00:09:02,796 --> 00:09:05,396 Speaker 5: And I started talking about what I was hoping was 154 00:09:05,436 --> 00:09:08,196 Speaker 5: going to happen for the future. And someone said to me, well, 155 00:09:08,196 --> 00:09:10,756 Speaker 5: you know, you seem very optimistic and hopeful. And I 156 00:09:10,796 --> 00:09:13,036 Speaker 5: thought about it, and I thought, you know, it's true. 157 00:09:13,316 --> 00:09:15,836 Speaker 5: In the end, I'm optimistic and hopeful. I do like 158 00:09:15,876 --> 00:09:17,876 Speaker 5: the idea that you know, within a generation, and it's 159 00:09:17,876 --> 00:09:19,876 Speaker 5: certainly a place like Atlanta. There's the reason why I 160 00:09:19,916 --> 00:09:20,436 Speaker 5: love the city. 161 00:09:25,476 --> 00:09:29,156 Speaker 2: And I saw on your website that you do I 162 00:09:29,156 --> 00:09:32,196 Speaker 2: don't know you still do, but hip hop reviews on 163 00:09:32,236 --> 00:09:34,796 Speaker 2: the side. I mean, this is the most Atlanta thing 164 00:09:34,796 --> 00:09:38,036 Speaker 2: I've ever heard in my life. The AI professor Georgia 165 00:09:38,076 --> 00:09:39,916 Speaker 2: Tech who does hip hop stuff on the side. 166 00:09:40,996 --> 00:09:43,796 Speaker 5: Yes, I've been a huge fan of hip hop's it's 167 00:09:43,836 --> 00:09:47,676 Speaker 5: the very beginning, well, certainly the modern hip hop Araasi's 168 00:09:47,676 --> 00:09:51,556 Speaker 5: the very beginning. I did an online hip hop award 169 00:09:51,596 --> 00:09:55,356 Speaker 5: show for about eight years. For a while there had 170 00:09:55,436 --> 00:09:57,556 Speaker 5: the first online black history database. 171 00:09:58,036 --> 00:10:00,876 Speaker 2: And I saw on your lab page everyone gets a 172 00:10:00,916 --> 00:10:03,316 Speaker 2: p funk Dame. Everyone gets a p funk name, p 173 00:10:03,476 --> 00:10:06,996 Speaker 2: Funk being, of course, the nickname of Parliament Funkadelic, the 174 00:10:07,076 --> 00:10:12,116 Speaker 2: legendary funk band started by George Clinton. On Isabel's laboratory website, 175 00:10:12,316 --> 00:10:16,516 Speaker 2: it reads the P in p funk stands for probabilistic, 176 00:10:17,196 --> 00:10:20,396 Speaker 2: as for the funk, it stands for many things as well. 177 00:10:20,436 --> 00:10:20,876 Speaker 1: It should. 178 00:10:21,356 --> 00:10:25,196 Speaker 2: Specific interpretations are left as an exercise for the reader. 179 00:10:25,476 --> 00:10:27,516 Speaker 2: You are atomic dog, you would have to be at home. 180 00:10:27,596 --> 00:10:30,556 Speaker 5: Of course, I'm atomic dog. What a there's no other option? 181 00:10:31,356 --> 00:10:32,556 Speaker 2: How much do I love Atlanta? 182 00:10:36,076 --> 00:10:36,396 Speaker 1: All right? 183 00:10:37,516 --> 00:10:42,156 Speaker 2: Roger Nation twenty four asks on Twitter, why have you 184 00:10:42,196 --> 00:10:46,236 Speaker 2: never made an episode about Kanye West? His career trajectory 185 00:10:46,276 --> 00:10:50,156 Speaker 2: seems like the perfect fit for your podcast. Very very 186 00:10:50,156 --> 00:10:53,516 Speaker 2: good question, Roger Nation twenty four. Let's put it this way. 187 00:10:53,796 --> 00:10:56,556 Speaker 2: It's not for lack of trying, because no one likes 188 00:10:56,556 --> 00:10:59,276 Speaker 2: a celebrity hang more than me. I once met David 189 00:10:59,316 --> 00:11:02,956 Speaker 2: Hasselhoff in Sweden, of all places, got a selfie with him, 190 00:11:03,036 --> 00:11:04,836 Speaker 2: and if you look at the photo, I have this 191 00:11:04,956 --> 00:11:08,276 Speaker 2: big stupid grin on my face, like I'm the happiest 192 00:11:08,356 --> 00:11:11,996 Speaker 2: I've ever been in my life for the Hoff. But 193 00:11:12,036 --> 00:11:14,596 Speaker 2: I have a better story which also, and you're not 194 00:11:14,596 --> 00:11:21,396 Speaker 2: going to believe this involves my favorite city, Atlanta. So 195 00:11:21,636 --> 00:11:24,316 Speaker 2: a couple of years ago, when Kevin Durant was still 196 00:11:24,356 --> 00:11:27,396 Speaker 2: with the Golden State Warriors, they came to Atlanta to 197 00:11:27,436 --> 00:11:31,396 Speaker 2: play the Hawks, and after the game, Quavo of the 198 00:11:31,396 --> 00:11:35,036 Speaker 2: great hip hop group Migos comes up to Durant, and Durant, 199 00:11:35,076 --> 00:11:38,676 Speaker 2: who is like seven feet tall, leans down and takes 200 00:11:38,716 --> 00:11:41,916 Speaker 2: off his jersey and gives it to Quavo. One of 201 00:11:41,956 --> 00:11:45,316 Speaker 2: the greatest basketball players in the world, comes to town 202 00:11:45,596 --> 00:11:48,956 Speaker 2: and pays homage to the king of Atlanta hip hop. 203 00:11:49,716 --> 00:11:53,196 Speaker 2: The picture goes viral. It's a sensation. In fact, you 204 00:11:53,236 --> 00:11:56,956 Speaker 2: should look it up for yourself image Google Quavo and 205 00:11:57,036 --> 00:12:03,756 Speaker 2: Kevin Durant epic pop culture defining moment. Right now, while 206 00:12:03,756 --> 00:12:07,316 Speaker 2: you're at it, look to the right. You'll see a 207 00:12:07,356 --> 00:12:09,876 Speaker 2: bunch of people standing in the background. You might have 208 00:12:09,916 --> 00:12:13,276 Speaker 2: to zoom in a bit. There's a skinny guy wearing 209 00:12:13,316 --> 00:12:18,236 Speaker 2: a beige jacket, glasses, big head of curly hair. Now 210 00:12:18,276 --> 00:12:23,156 Speaker 2: who does that look like? Oh yeah, baby, I love Atlanta. 211 00:12:24,276 --> 00:12:27,036 Speaker 2: We'll be right back after a word from our sponsor, 212 00:12:38,676 --> 00:12:41,996 Speaker 2: We're back with more of your excellent questions. This one's 213 00:12:41,996 --> 00:12:46,916 Speaker 2: from Zoe Rattis. At the conclusion of each Revisionist History episode, 214 00:12:47,076 --> 00:12:51,636 Speaker 2: mister Glapple says original scoring by the next two words 215 00:12:51,676 --> 00:12:58,156 Speaker 2: could be Leuis Scarra, Louise Sierra, lou Wiscerra, or some 216 00:12:58,276 --> 00:13:00,876 Speaker 2: other combo I haven't thought of yet. I would like 217 00:13:00,916 --> 00:13:03,116 Speaker 2: to get in touch with this person, as I think 218 00:13:03,196 --> 00:13:07,316 Speaker 2: their talents are neat and as an aspiring scorewriter myself, 219 00:13:07,636 --> 00:13:10,276 Speaker 2: I hope they might share some fun with me about 220 00:13:10,276 --> 00:13:12,356 Speaker 2: how they came to be in this role. Thank you 221 00:13:12,436 --> 00:13:16,676 Speaker 2: so much, Zoe, Zoe. I am happy to tell you 222 00:13:16,996 --> 00:13:21,156 Speaker 2: his name is Luis Gera g u e r r A. 223 00:13:21,756 --> 00:13:24,396 Speaker 2: He's a musical genius, as should be a parent if 224 00:13:24,436 --> 00:13:26,636 Speaker 2: you've listened to any episode of this show, and I 225 00:13:26,676 --> 00:13:30,316 Speaker 2: will let him answer the rest of your questions himself. 226 00:13:30,916 --> 00:13:33,396 Speaker 6: Well, it's like I would double take to hear Malcolm 227 00:13:33,396 --> 00:13:36,276 Speaker 6: Gladwell and put musical genius with by my name in 228 00:13:36,316 --> 00:13:37,316 Speaker 6: the same sentences. 229 00:13:37,356 --> 00:13:38,556 Speaker 1: A little bit of a what. 230 00:13:40,476 --> 00:13:43,436 Speaker 6: So I mean that's with that said, my name is 231 00:13:43,516 --> 00:13:47,196 Speaker 6: Luis Guerra, you could also say Louis Gera. Totally fine. 232 00:13:47,396 --> 00:13:50,356 Speaker 6: I have two ethnic identities. Go on here, so I 233 00:13:50,396 --> 00:13:54,316 Speaker 6: do compose music for a living. I'm pushing into my 234 00:13:54,436 --> 00:13:58,076 Speaker 6: thirtieth year as like a full time musician. So I 235 00:13:58,116 --> 00:14:00,356 Speaker 6: started really young in my life. I grew up in 236 00:14:00,356 --> 00:14:03,156 Speaker 6: a family where all of us kids, there was four 237 00:14:03,196 --> 00:14:05,916 Speaker 6: of us, we were encouraged and required to play a 238 00:14:05,996 --> 00:14:08,956 Speaker 6: musical instrument, and I sort of jumped around the most. 239 00:14:09,436 --> 00:14:12,436 Speaker 6: So I start out on drums, went to piano, played 240 00:14:12,436 --> 00:14:14,996 Speaker 6: a little guitar, and then ended up playing bass, and 241 00:14:15,036 --> 00:14:17,756 Speaker 6: for whatever reason, stuck with the bass. It wasn't really 242 00:14:17,796 --> 00:14:20,916 Speaker 6: something that I wanted to do for a career. It 243 00:14:20,956 --> 00:14:24,836 Speaker 6: was more about, this is a great way to escape 244 00:14:25,876 --> 00:14:29,676 Speaker 6: things going on in my life. And so then you know, 245 00:14:29,756 --> 00:14:32,876 Speaker 6: long story short. I moved to Austin, Texas in the 246 00:14:32,916 --> 00:14:37,236 Speaker 6: early nineties, and artist, musician, whatever, a creative person, you 247 00:14:37,276 --> 00:14:39,916 Speaker 6: didn't need a lot of money to pay your rent 248 00:14:39,956 --> 00:14:42,916 Speaker 6: and your bills, okay, So as a young person, that 249 00:14:42,996 --> 00:14:45,796 Speaker 6: was a great place to actually like just jump into 250 00:14:45,796 --> 00:14:49,796 Speaker 6: a scene. And I also was a short order line cook, 251 00:14:49,916 --> 00:14:53,036 Speaker 6: and those two things sort of merged later on in 252 00:14:53,076 --> 00:14:56,036 Speaker 6: my life because I started realizing that as people would 253 00:14:56,036 --> 00:14:57,556 Speaker 6: come up and ask for their food to be made, 254 00:14:57,556 --> 00:14:59,396 Speaker 6: they would also sometimes come and ask for me to 255 00:14:59,476 --> 00:15:02,236 Speaker 6: make a piece of music, and you know, either one 256 00:15:02,276 --> 00:15:10,996 Speaker 6: I just would do it podcasting. I was like, I 257 00:15:11,036 --> 00:15:13,116 Speaker 6: didn't think a whole lot of it, honestly, and it 258 00:15:13,196 --> 00:15:15,076 Speaker 6: was just something that like I would, you know, occasionally 259 00:15:15,116 --> 00:15:17,116 Speaker 6: listen to a podcast when I go run or something. 260 00:15:17,156 --> 00:15:19,356 Speaker 6: But when this came up, I knew that this was 261 00:15:19,396 --> 00:15:22,996 Speaker 6: going to be a very serious project, and so I 262 00:15:23,036 --> 00:15:25,876 Speaker 6: was like, heck, yeah, that sounds awesome. The podcast would 263 00:15:25,876 --> 00:15:28,676 Speaker 6: it's things overlooked right and misunderstood, and I think there's 264 00:15:28,796 --> 00:15:33,036 Speaker 6: room to explore musical cliches, and so I'm feeling like 265 00:15:33,156 --> 00:15:36,596 Speaker 6: there's that's sort of the top level down I want 266 00:15:36,636 --> 00:15:40,796 Speaker 6: to take stereotypical ideas sort of that we're there predictable 267 00:15:40,796 --> 00:15:44,596 Speaker 6: and start inverting them and like not just remixing them, 268 00:15:44,916 --> 00:15:48,436 Speaker 6: you know, but actually like really playing with that. Maybe 269 00:15:48,436 --> 00:15:50,396 Speaker 6: there's three things that come to mind and how I 270 00:15:50,396 --> 00:15:53,796 Speaker 6: approach it. One, I wanted the music to be transparent. 271 00:15:53,996 --> 00:15:56,716 Speaker 6: I don't want it to stand out so that it's 272 00:15:56,796 --> 00:15:59,796 Speaker 6: just overshadowing, right and like overtaking and like wow, that's 273 00:15:59,796 --> 00:16:01,876 Speaker 6: a really great piece of music or that's a really 274 00:16:01,876 --> 00:16:04,396 Speaker 6: great sound, but then you forget whatever the topic was. 275 00:16:04,636 --> 00:16:06,676 Speaker 6: The other one is I wanted to support and evolve 276 00:16:06,716 --> 00:16:08,956 Speaker 6: and be interesting, so that if you actually do find 277 00:16:08,996 --> 00:16:12,196 Speaker 6: yourself thinking about the music, you're like, well, what is that? 278 00:16:12,236 --> 00:16:14,476 Speaker 6: What's the sound? What's going on? And then the other 279 00:16:14,676 --> 00:16:17,076 Speaker 6: is like, I want it to be flexible. I do 280 00:16:17,196 --> 00:16:20,196 Speaker 6: imagine this music could be performed live. I've thought about 281 00:16:20,196 --> 00:16:22,556 Speaker 6: Revision's History. I had this team of producers is like 282 00:16:22,596 --> 00:16:24,796 Speaker 6: a band. We've been in this band for five years, 283 00:16:24,836 --> 00:16:27,196 Speaker 6: you know, and sometimes the band gets bigger and more 284 00:16:27,196 --> 00:16:30,636 Speaker 6: producers step in and they're like, we're all supporting Malcolm, 285 00:16:30,636 --> 00:16:37,476 Speaker 6: who's the front man. So how do I shape the 286 00:16:37,556 --> 00:16:44,756 Speaker 6: music to sound to match Malcolm's voice on Revision's History. Well, 287 00:16:45,236 --> 00:16:48,356 Speaker 6: it's a little trick in composing for media, but every 288 00:16:48,396 --> 00:16:52,196 Speaker 6: speaker has some sort of tonality to their voice. So 289 00:16:53,076 --> 00:16:55,396 Speaker 6: if I can find that, then I can actually make 290 00:16:55,476 --> 00:16:59,716 Speaker 6: things sound more harmonious. But if I wanted to create tension, 291 00:16:59,876 --> 00:17:02,076 Speaker 6: then I can actually like create you right in a 292 00:17:02,156 --> 00:17:07,916 Speaker 6: key to be sort of juxtaposed or to clash specifically 293 00:17:07,956 --> 00:17:10,596 Speaker 6: with the voice. So for malcol voice, there's a few 294 00:17:10,996 --> 00:17:15,116 Speaker 6: tonal centers that I do. If you listen to Revision's 295 00:17:15,116 --> 00:17:17,716 Speaker 6: History music, there are tonal centers that I pick frequently 296 00:17:18,196 --> 00:17:22,716 Speaker 6: that really I feel like support his voice. So there's 297 00:17:22,876 --> 00:17:26,556 Speaker 6: a mysterious element to this, Right, I want to pull 298 00:17:26,996 --> 00:17:30,316 Speaker 6: from the cliche that I'm referencing, but I also want 299 00:17:30,356 --> 00:17:32,796 Speaker 6: it to be done in a revision's history sort of way. 300 00:17:33,676 --> 00:17:37,396 Speaker 6: So in this situation, there's marimba, right, But a marimba 301 00:17:37,436 --> 00:17:39,556 Speaker 6: to me, with like a certain amount of delay and 302 00:17:39,636 --> 00:17:43,996 Speaker 6: reverb is going to put the listener into this zone 303 00:17:44,076 --> 00:17:45,636 Speaker 6: even if they don't know what, they're going to immediately 304 00:17:45,636 --> 00:17:48,796 Speaker 6: feel like, hmm, what's going on here? 305 00:17:49,156 --> 00:17:49,396 Speaker 2: You know? 306 00:17:49,556 --> 00:17:51,676 Speaker 6: And so it's a device, if you will. And I 307 00:17:51,676 --> 00:17:55,956 Speaker 6: think that's what composers do. Every day's a new adventure 308 00:17:56,036 --> 00:17:56,636 Speaker 6: at studio. 309 00:17:57,116 --> 00:17:57,476 Speaker 1: I can't. 310 00:17:57,476 --> 00:17:59,676 Speaker 6: I mean, it's I don't know, it's a fun job. 311 00:17:59,756 --> 00:18:01,276 Speaker 6: I could think of worse things to be doing. 312 00:18:02,396 --> 00:18:11,916 Speaker 2: Thank you, Louise for five years of making me sound fantastic. Okay, 313 00:18:12,116 --> 00:18:14,996 Speaker 2: back to listener mail bag. And I have to warn you, 314 00:18:14,996 --> 00:18:17,116 Speaker 2: you know how like a fleeting moment can inspire a 315 00:18:17,156 --> 00:18:21,156 Speaker 2: whole novel that takes years to complete. This one is 316 00:18:21,236 --> 00:18:26,676 Speaker 2: kind of like that. Jonathan Walfitz asks on Twitter, what 317 00:18:26,716 --> 00:18:28,676 Speaker 2: do you do when you feel like you've reached a 318 00:18:28,716 --> 00:18:32,836 Speaker 2: dead end in a story. Very very good question, Jonathan. 319 00:18:33,476 --> 00:18:36,316 Speaker 2: This actually happened to us last season when we were 320 00:18:36,316 --> 00:18:38,796 Speaker 2: in the middle of doing the episode about the tangled 321 00:18:38,836 --> 00:18:43,436 Speaker 2: provenance of van Go's Vaz with Carnations. Here's a little 322 00:18:43,436 --> 00:18:47,276 Speaker 2: piece of that story. In nineteen fifty six, Kirk Douglas 323 00:18:47,316 --> 00:18:51,116 Speaker 2: started a movie about van Go called Lust for Life. 324 00:18:51,716 --> 00:18:54,836 Speaker 7: Few people know the real story of this intense, strong 325 00:18:54,916 --> 00:18:58,836 Speaker 7: willed man. Now his tumultuous career is revealed for the 326 00:18:58,876 --> 00:19:02,836 Speaker 7: first time with frankness and intimacy, with all that lust 327 00:19:02,876 --> 00:19:03,196 Speaker 7: for life. 328 00:19:03,196 --> 00:19:04,916 Speaker 2: If you look at the corner of the movie poster 329 00:19:05,036 --> 00:19:08,276 Speaker 2: for Lust for Life, there it is Vaz with Carnations. 330 00:19:09,116 --> 00:19:11,596 Speaker 2: If by then gets it sold it. He didn't hang 331 00:19:11,636 --> 00:19:13,076 Speaker 2: on to his van Go the way he did his 332 00:19:13,116 --> 00:19:16,716 Speaker 2: other treasures. It wasn't for him. The painting passed to 333 00:19:16,756 --> 00:19:20,476 Speaker 2: the heiress to the Kmart fortune, Katherine Kresgy, who, among 334 00:19:20,476 --> 00:19:23,716 Speaker 2: other things, was once married to a Swedish baron. She 335 00:19:23,876 --> 00:19:26,436 Speaker 2: convinced him to leave London and come live with her 336 00:19:26,476 --> 00:19:31,716 Speaker 2: in her native Detroit. Perhaps unsurprisingly, the Swedish baron's order 337 00:19:31,716 --> 00:19:34,596 Speaker 2: for Miss Gresgy did not survive the move to Michigan. 338 00:19:35,556 --> 00:19:38,516 Speaker 2: When Kresgy died in nineteen ninety, she willed Vaz with 339 00:19:38,556 --> 00:19:42,036 Speaker 2: Carnations to the Detroit Institute of Arts. She gave it 340 00:19:42,076 --> 00:19:45,676 Speaker 2: without restriction, meaning the Dea, as it's known, could do 341 00:19:45,796 --> 00:19:48,596 Speaker 2: with it what they wanted, sell it, trade it. They 342 00:19:48,596 --> 00:19:50,716 Speaker 2: didn't have to make it part of their permanent collection. 343 00:19:51,756 --> 00:19:54,756 Speaker 2: Kresgy clearly didn't care any more for the painting than 344 00:19:54,796 --> 00:19:58,596 Speaker 2: Gets did, and neither did the Dia. They put it 345 00:19:58,676 --> 00:20:02,396 Speaker 2: in her basement for twenty years. Vincent van Goh painted 346 00:20:02,436 --> 00:20:07,956 Speaker 2: many remarkable canvasses. This is not one of them. While 347 00:20:08,036 --> 00:20:10,996 Speaker 2: we were reporting this epit, we had to solve a problem, 348 00:20:11,276 --> 00:20:13,716 Speaker 2: which was we didn't know whether the van Go was 349 00:20:13,756 --> 00:20:17,236 Speaker 2: a fake. So I said to my producer, Elouise Linton, 350 00:20:17,716 --> 00:20:21,796 Speaker 2: can we find out? Thinking foolishly, it would be easy. 351 00:20:22,796 --> 00:20:25,836 Speaker 2: Eloise starts with a curator at the Detroit Institute of 352 00:20:25,916 --> 00:20:28,916 Speaker 2: Arts named George, who went on the record years ago 353 00:20:29,076 --> 00:20:31,796 Speaker 2: to say that he thought Vaz with Carnations was a fake. 354 00:20:32,156 --> 00:20:36,716 Speaker 4: I call his home in Maine. He doesn't answer. I 355 00:20:36,796 --> 00:20:40,556 Speaker 4: leave a message. I call again. His wife picks up. 356 00:20:41,876 --> 00:20:44,676 Speaker 4: I tell her what I'm asking about, and she says 357 00:20:44,836 --> 00:20:47,076 Speaker 4: they're going on a trip and if I call back. 358 00:20:46,956 --> 00:20:47,676 Speaker 1: They won't be there. 359 00:20:49,916 --> 00:20:53,276 Speaker 2: This was the beginning of the pandemic. April, Eloise and 360 00:20:53,316 --> 00:20:56,396 Speaker 2: I had started having these zoom calls where we shared 361 00:20:56,436 --> 00:20:57,276 Speaker 2: our frustrations. 362 00:20:57,876 --> 00:21:03,556 Speaker 8: That's one little weird fact. Number One, he's retired, he's 363 00:21:03,596 --> 00:21:05,236 Speaker 8: living in Maine. He doesn't want to talk about a 364 00:21:05,276 --> 00:21:08,996 Speaker 8: painting that he neither liked nor thought was real. 365 00:21:09,556 --> 00:21:11,316 Speaker 9: Next, what was next? What happened next? 366 00:21:11,796 --> 00:21:16,036 Speaker 2: Then Eloise tries a prominent art journalist who'd written extensively 367 00:21:16,076 --> 00:21:19,916 Speaker 2: about Bengo. As soon as she mentions Vaz with Carnations, 368 00:21:20,196 --> 00:21:23,316 Speaker 2: the guy disappears. Then she just starts calling up big 369 00:21:23,396 --> 00:21:26,876 Speaker 2: name Bengo experts, one after another, same thing. 370 00:21:27,276 --> 00:21:30,516 Speaker 4: I told him I was thinking about Days of Carnations, 371 00:21:30,556 --> 00:21:33,556 Speaker 4: and he stopped replying, and then I followed up two 372 00:21:33,556 --> 00:21:35,796 Speaker 4: weeks later because someone had recommended. 373 00:21:35,836 --> 00:21:37,916 Speaker 10: I talked to him and. 374 00:21:38,636 --> 00:21:41,076 Speaker 4: He said that he would speak to me this morning, 375 00:21:42,236 --> 00:21:45,916 Speaker 4: and then when I called his office, they said he 376 00:21:46,036 --> 00:21:49,876 Speaker 4: wasn't there, and then I emailed him and he never responded. 377 00:21:50,556 --> 00:21:53,756 Speaker 2: Understand, this is not the Mona Lisa we're talking about. 378 00:21:54,236 --> 00:21:58,996 Speaker 2: Vaz with Carnations is a third rate. Maybe Bengo. It 379 00:21:59,076 --> 00:22:01,876 Speaker 2: spent much of its life over the past few decades 380 00:22:02,116 --> 00:22:05,356 Speaker 2: in the basement of the Detroit Institute of Arts and 381 00:22:05,436 --> 00:22:08,796 Speaker 2: also understand that we're doing this reporting while the entire 382 00:22:08,836 --> 00:22:11,756 Speaker 2: world is at home. Do you know how easy it 383 00:22:11,836 --> 00:22:14,876 Speaker 2: is to get people to talk during lockdown. It's been 384 00:22:14,916 --> 00:22:18,116 Speaker 2: the most fantastic stretch of reporting in my thirty five 385 00:22:18,196 --> 00:22:20,916 Speaker 2: years in journalism. I could get the Pope on the 386 00:22:20,996 --> 00:22:23,436 Speaker 2: phone if I want it, because he's sitting in his 387 00:22:23,476 --> 00:22:27,716 Speaker 2: palazzo like everyone else doing nothing but watching Italian Netflix. 388 00:22:28,556 --> 00:22:31,716 Speaker 2: Everyone was available except art people. 389 00:22:33,156 --> 00:22:34,836 Speaker 8: I talked to the lawyer on the other side of 390 00:22:34,836 --> 00:22:38,356 Speaker 8: that controversy and he says insists everything has to be 391 00:22:38,396 --> 00:22:42,316 Speaker 8: on background, and then sends me this long email in 392 00:22:42,356 --> 00:22:44,636 Speaker 8: which he tells me something that it's like totally obvious, 393 00:22:44,636 --> 00:22:47,836 Speaker 8: like I could have gotten off Wikipedia and says, you 394 00:22:48,236 --> 00:22:49,836 Speaker 8: can use that, but only on background. 395 00:22:50,116 --> 00:22:55,436 Speaker 9: This is this random painting which isn't any good, which 396 00:22:56,596 --> 00:22:58,436 Speaker 9: we thought was fake for years and years and years, 397 00:22:58,716 --> 00:23:00,396 Speaker 9: and the whole world doesn't want to talk about it, 398 00:23:00,956 --> 00:23:05,476 Speaker 9: not even till little old us. Yeah, who knows what 399 00:23:05,796 --> 00:23:06,116 Speaker 9: I mean. 400 00:23:06,636 --> 00:23:10,236 Speaker 4: I can't understand why unless we're just being part of 401 00:23:10,236 --> 00:23:13,596 Speaker 4: me thinks that we're just alone and quarantined and becoming 402 00:23:13,676 --> 00:23:14,876 Speaker 4: paranoid or something. 403 00:23:15,756 --> 00:23:20,156 Speaker 2: Finally, Eloise finds a Ango expert named David Brooks who 404 00:23:20,236 --> 00:23:21,236 Speaker 2: spells it out for us. 405 00:23:21,756 --> 00:23:23,956 Speaker 11: Yeah, everybody kind of walks on eggshells when it comes 406 00:23:23,996 --> 00:23:28,156 Speaker 11: to the fakes topic, and rightfully so. I don't really 407 00:23:28,556 --> 00:23:31,636 Speaker 11: say much about it, and the Vango Museum is always 408 00:23:31,716 --> 00:23:34,996 Speaker 11: very careful. For example, I'll even say to my friend, 409 00:23:35,116 --> 00:23:38,316 Speaker 11: my contact at the Vango Museum, such and such work. 410 00:23:38,676 --> 00:23:40,756 Speaker 11: I mean, people have questioned it, what do you think? 411 00:23:41,356 --> 00:23:43,876 Speaker 11: And my friend will say, we have no opinion. We 412 00:23:44,476 --> 00:23:48,676 Speaker 11: simply can't express an opinion unless they're officially called on 413 00:23:49,196 --> 00:23:52,596 Speaker 11: to do an investigation and to properly study the work. 414 00:23:53,396 --> 00:23:57,236 Speaker 11: They're Switzerland. They just remain neutral, and that's a smart move. 415 00:23:57,636 --> 00:23:59,716 Speaker 11: It makes life easier for them. 416 00:24:00,836 --> 00:24:03,236 Speaker 4: Why why is it such a use I think you 417 00:24:03,276 --> 00:24:05,156 Speaker 4: called it a firecracker topic. 418 00:24:06,836 --> 00:24:07,276 Speaker 9: It is. 419 00:24:07,516 --> 00:24:12,556 Speaker 11: It's a firecracker topic, and again one that I've avoided 420 00:24:12,716 --> 00:24:15,196 Speaker 11: over the years because I just don't need the grief. 421 00:24:15,676 --> 00:24:18,476 Speaker 2: The art world is a collection of people with a 422 00:24:18,516 --> 00:24:21,076 Speaker 2: great deal of knowledge about art who, on the question 423 00:24:21,156 --> 00:24:24,716 Speaker 2: of fakes, whether knowledge might be useful, declined to use 424 00:24:24,756 --> 00:24:27,116 Speaker 2: their knowledge. Then, don't want to be the one who 425 00:24:27,156 --> 00:24:30,956 Speaker 2: reigns on someone's parade by telling them that their prized 426 00:24:31,076 --> 00:24:33,516 Speaker 2: van Go was actually painted by like some dude in 427 00:24:33,556 --> 00:24:37,196 Speaker 2: Cleveland in the nineteen seventies. This is like doctors who 428 00:24:37,236 --> 00:24:39,716 Speaker 2: are happy to tell you that you're healthy, but would 429 00:24:39,796 --> 00:24:42,276 Speaker 2: rather not break the news to you that you're sick. 430 00:24:43,556 --> 00:24:47,116 Speaker 2: So finally Eloise tracks down a data scientist at a 431 00:24:47,196 --> 00:24:49,756 Speaker 2: university in Holland named Eric Postma. 432 00:24:50,396 --> 00:24:53,716 Speaker 10: I was working on in the old days of computer vision, 433 00:24:53,756 --> 00:24:57,436 Speaker 10: before the time of deep learning. There was this challenge 434 00:24:57,476 --> 00:25:01,676 Speaker 10: to recognize visual texture, and I was I had a 435 00:25:01,756 --> 00:25:04,636 Speaker 10: visitor to Ango Museum there was a kind of Impressionist 436 00:25:04,796 --> 00:25:08,836 Speaker 10: paintings exhibit, and then an idea to create a data 437 00:25:08,836 --> 00:25:12,356 Speaker 10: set from paintings because they all have these different visual textures. 438 00:25:12,876 --> 00:25:17,476 Speaker 2: Basically, Postma trains his AI program to match the patterns 439 00:25:17,516 --> 00:25:23,276 Speaker 2: of authenticated ven goes against unverified ven goes. So Alois 440 00:25:23,476 --> 00:25:26,356 Speaker 2: sends him an image of us with carnations, and a 441 00:25:26,436 --> 00:25:29,036 Speaker 2: few weeks later he calls with the results. 442 00:25:29,356 --> 00:25:31,716 Speaker 10: To make it very concrete, I take blocks of two 443 00:25:31,796 --> 00:25:34,636 Speaker 10: hundred and fifty six by two hundred fifty six pixels 444 00:25:35,036 --> 00:25:37,836 Speaker 10: and I look at each block in the in the 445 00:25:37,916 --> 00:25:41,636 Speaker 10: image and compared and try to classify that as real 446 00:25:42,356 --> 00:25:46,036 Speaker 10: fango or none vango. And what I see in many 447 00:25:46,676 --> 00:25:49,276 Speaker 10: paintings that I know are fango's I always see, Okay, 448 00:25:49,316 --> 00:25:52,876 Speaker 10: it's about seventy to eighty percent of the surface is 449 00:25:52,916 --> 00:25:57,276 Speaker 10: classified as fango, but in this particular case, it's fifty 450 00:25:57,276 --> 00:26:01,676 Speaker 10: to fifty. It's really fifty to fifty. I replicated that 451 00:26:01,756 --> 00:26:04,596 Speaker 10: several times I changed the data set. Normally I would 452 00:26:04,636 --> 00:26:10,836 Speaker 10: like to have multiple copies of reproductions, but this suggests 453 00:26:10,836 --> 00:26:12,876 Speaker 10: to me that it's not clearly if I'm GO and 454 00:26:13,516 --> 00:26:17,156 Speaker 10: not clearly a non FuMO. It's something in between, which 455 00:26:17,196 --> 00:26:19,716 Speaker 10: is not very helpful, of course, but it's the first 456 00:26:19,716 --> 00:26:21,716 Speaker 10: time that I have such a clear code whey, where 457 00:26:21,716 --> 00:26:24,116 Speaker 10: it's really balanced. It's really fifty to fifty. 458 00:26:24,796 --> 00:26:26,596 Speaker 2: I mean, how perfect is that? 459 00:26:27,276 --> 00:26:27,996 Speaker 1: Fifty to fifty. 460 00:26:28,596 --> 00:26:31,636 Speaker 2: Then Postma comes back to us and says, actually, upon 461 00:26:31,756 --> 00:26:34,956 Speaker 2: re analysis, I think the flowers are real, but maybe 462 00:26:34,996 --> 00:26:38,436 Speaker 2: the background is not. We spared you all this in 463 00:26:38,436 --> 00:26:41,836 Speaker 2: the original episode because we found a better story to tell, 464 00:26:42,276 --> 00:26:44,196 Speaker 2: but at least you know how I came to the 465 00:26:44,196 --> 00:26:48,116 Speaker 2: conclusion that I did, which is the art world is nuts. 466 00:26:48,956 --> 00:26:52,236 Speaker 2: The only person who would actually discuss the authenticity of 467 00:26:52,316 --> 00:26:55,556 Speaker 2: oz wasn't someone in the art world. It was a 468 00:26:55,636 --> 00:26:59,076 Speaker 2: data scientist, for goodness sake, an outsider who uses AI 469 00:26:59,196 --> 00:27:03,276 Speaker 2: to analyze pixels, and poor Eric Postma is left spending 470 00:27:03,316 --> 00:27:07,276 Speaker 2: his days dealing with crazy art world types clutching would 471 00:27:07,316 --> 00:27:09,156 Speaker 2: be masterpieces. 472 00:27:09,156 --> 00:27:11,716 Speaker 10: Even people that wanted to put their painting in my computer. 473 00:27:11,876 --> 00:27:15,596 Speaker 4: Literally, what do you mean, oh that physical painting? 474 00:27:16,196 --> 00:27:16,596 Speaker 1: Yeah? 475 00:27:16,596 --> 00:27:18,956 Speaker 10: They called me, so, yeah, I'm my painting. Can I 476 00:27:18,956 --> 00:27:21,236 Speaker 10: put it in your computer? I said, yeah, what do 477 00:27:21,276 --> 00:27:23,836 Speaker 10: you mean? I can bring it to you? And is 478 00:27:23,876 --> 00:27:25,556 Speaker 10: there an opening in your computer that I can put 479 00:27:25,596 --> 00:27:28,436 Speaker 10: it in? The Really people were strange people. 480 00:27:29,356 --> 00:27:33,076 Speaker 2: Pretty sure this will be my last episode on the 481 00:27:33,156 --> 00:27:44,636 Speaker 2: Art World. We're back with more of your insightful listener questions. 482 00:27:45,796 --> 00:27:50,196 Speaker 2: Aaron Klanderman at Clandera asks love to hear more about 483 00:27:50,196 --> 00:27:54,596 Speaker 2: your running obsession. Smiley face, what's your routine? Got some 484 00:27:54,596 --> 00:28:01,236 Speaker 2: good shoe recommendations? Okay, Ultra shoes, tracksmith gear. My favorite 485 00:28:01,236 --> 00:28:03,476 Speaker 2: thing in the world is group track workouts. But sadly, 486 00:28:03,516 --> 00:28:06,476 Speaker 2: since COVID, my only running partner has been the thirteen 487 00:28:06,556 --> 00:28:09,036 Speaker 2: year old son of my friends, who is super speedy 488 00:28:09,316 --> 00:28:12,276 Speaker 2: and completely plays me. Pretends he's all exhausted and then 489 00:28:12,356 --> 00:28:16,836 Speaker 2: destroys me on the final interval. Speaking of Tracksmith, you 490 00:28:16,876 --> 00:28:19,036 Speaker 2: may have heard some of their ads on Revisionist History. 491 00:28:19,236 --> 00:28:21,076 Speaker 2: I'm a huge fan of their stuff, wear it all 492 00:28:21,076 --> 00:28:24,036 Speaker 2: the time. And a few weeks ago, the founder of 493 00:28:24,036 --> 00:28:27,076 Speaker 2: Tracksmith asked me could he convince me to write the 494 00:28:27,196 --> 00:28:29,876 Speaker 2: copy for an ad they were making, And I said sure, 495 00:28:30,196 --> 00:28:31,996 Speaker 2: because I don't know if you know this, but my 496 00:28:32,076 --> 00:28:34,916 Speaker 2: ambition coming out of college was to be a copywriter. 497 00:28:35,436 --> 00:28:38,516 Speaker 2: I applied to twenty eight ad agencies and got twenty 498 00:28:38,516 --> 00:28:40,796 Speaker 2: eight rejection letters, which I put on the wall of 499 00:28:40,836 --> 00:28:44,316 Speaker 2: my dorm room. So I'm a frustrated ad guy deep down. 500 00:28:44,756 --> 00:28:47,996 Speaker 2: That's my core identity, which is why I sometimes go 501 00:28:48,356 --> 00:28:51,036 Speaker 2: a little crazy on the ads I do for Revisionist History. 502 00:28:51,956 --> 00:28:55,756 Speaker 2: Do you remember Horace Throgbottom of the law firm throg Bottom, 503 00:28:56,076 --> 00:28:59,476 Speaker 2: throg Bottom and Throgbottom. That was a character I cooked 504 00:28:59,516 --> 00:29:06,956 Speaker 2: up with my producer Jacob Smith for zip Recruiter. Really 505 00:29:07,156 --> 00:29:08,276 Speaker 2: and where do you work now? 506 00:29:09,236 --> 00:29:09,476 Speaker 11: Started? 507 00:29:09,516 --> 00:29:11,876 Speaker 9: I'm a partner at a throg Bottom and throg Bottom. 508 00:29:12,436 --> 00:29:14,436 Speaker 2: Horrse, my man, let's drink to. 509 00:29:14,396 --> 00:29:15,556 Speaker 9: Your future chinchin. 510 00:29:18,996 --> 00:29:22,836 Speaker 2: If your horse cab at throg Bottom the first It's 511 00:29:22,956 --> 00:29:25,476 Speaker 2: easy to figure out who to hire. But if your 512 00:29:25,556 --> 00:29:29,116 Speaker 2: last name is in throg Bottom, you need zip recruiter. 513 00:29:29,996 --> 00:29:32,636 Speaker 2: The point is the head of some little startup who 514 00:29:32,636 --> 00:29:35,116 Speaker 2: makes my favorite running stuff comes to me and says, 515 00:29:35,236 --> 00:29:37,036 Speaker 2: do you want to help? Out of course I'm going 516 00:29:37,116 --> 00:29:40,076 Speaker 2: to say yes. So here it is the video of 517 00:29:40,076 --> 00:29:42,836 Speaker 2: this is a couple of runners, including the great Mary Kine, 518 00:29:43,156 --> 00:29:49,676 Speaker 2: running through darkened, lonely streets. You could always stay in bed, 519 00:29:51,116 --> 00:29:55,556 Speaker 2: pull up the covers, pour a stiff drink, order in worry. 520 00:29:57,676 --> 00:29:59,676 Speaker 2: You could always let someone else take on the world. 521 00:30:01,436 --> 00:30:05,356 Speaker 2: Actors playing heroes, pounding soundtrack, that thing where they take 522 00:30:05,396 --> 00:30:11,756 Speaker 2: on great risks, only it's all made up. But then 523 00:30:12,036 --> 00:30:17,836 Speaker 2: who would you be? Or you could say to the world, 524 00:30:18,596 --> 00:30:28,396 Speaker 2: I have all I need. I have movement, breath, lungs, daydreams, 525 00:30:33,276 --> 00:30:46,276 Speaker 2: I have running. Running is a gift. It's so emotional. 526 00:30:46,756 --> 00:30:51,156 Speaker 2: It's like the email Malcolm Gladwell, is anyone still listening 527 00:30:52,316 --> 00:30:57,276 Speaker 2: at Harsha Shroud asks higher percentile your mild time for 528 00:30:57,436 --> 00:31:00,876 Speaker 2: your age group or your l SAT score. There were 529 00:31:00,876 --> 00:31:04,636 Speaker 2: actually a bunch of questions like this at Production Labs. 530 00:31:04,756 --> 00:31:08,436 Speaker 2: Writes hello from Germany, what did you score on the 531 00:31:08,596 --> 00:31:12,516 Speaker 2: l SAT in the Puzzle Rush episode. I get this 532 00:31:12,596 --> 00:31:13,396 Speaker 2: question all the time. 533 00:31:13,476 --> 00:31:13,676 Speaker 1: Now. 534 00:31:14,156 --> 00:31:17,676 Speaker 2: Back in season four, my then assistant Camille Baptista, and 535 00:31:17,716 --> 00:31:22,036 Speaker 2: I took the ELSAT not to become lawyers, no, just 536 00:31:22,036 --> 00:31:25,876 Speaker 2: to see whether a young, brainy whipper snapper like Camille 537 00:31:26,436 --> 00:31:29,756 Speaker 2: was a match for a savvy, grizzled veteran like me. 538 00:31:30,756 --> 00:31:33,556 Speaker 2: And at the end of a two episode arc with 539 00:31:33,716 --> 00:31:37,116 Speaker 2: so much ridiculous build up, I refuse to reveal what 540 00:31:37,196 --> 00:31:40,756 Speaker 2: our scores were, which apparently left many in the revisionist 541 00:31:40,836 --> 00:31:46,036 Speaker 2: history universe up in arms. But wait, the whole point 542 00:31:46,036 --> 00:31:48,756 Speaker 2: of the episode was the standardized tests like the el 543 00:31:48,796 --> 00:31:52,476 Speaker 2: SAT don't tell us anything meaningful. If you tell someone 544 00:31:52,516 --> 00:31:57,316 Speaker 2: your score, you're complicit in the scam. Don't ask, don't tell. 545 00:31:58,436 --> 00:32:01,396 Speaker 2: But we did get one very charming email on the 546 00:32:01,436 --> 00:32:06,636 Speaker 2: subject from Joan Riddle Steinmann, who teaches choir at Paradigm 547 00:32:06,716 --> 00:32:10,396 Speaker 2: High School in Salt Lake City. Steinmann wrote a whole 548 00:32:10,516 --> 00:32:14,116 Speaker 2: song inspired by our l SAT episodes. I'm not kidding. 549 00:32:14,436 --> 00:32:18,436 Speaker 2: It's called a SCANTRONA day keeps all learning at bay. 550 00:32:19,156 --> 00:32:21,076 Speaker 2: She said she was coming to New York with her 551 00:32:21,156 --> 00:32:23,916 Speaker 2: choir and could they perform it for us. This is 552 00:32:23,916 --> 00:32:28,916 Speaker 2: what she wrote we twenty four singers, four parent chaperones, 553 00:32:28,956 --> 00:32:32,836 Speaker 2: myself and our school principal would love to sing to him, 554 00:32:32,916 --> 00:32:36,196 Speaker 2: meaning me we can meet him outside a coffee shop 555 00:32:36,636 --> 00:32:41,996 Speaker 2: or anywhere and sing the song a cappella. Sadly, because 556 00:32:41,996 --> 00:32:45,476 Speaker 2: of COVID, the meeting never happened, so we're going to 557 00:32:45,556 --> 00:32:46,836 Speaker 2: play the song for you now. 558 00:32:50,756 --> 00:32:56,276 Speaker 9: B C DCAC. 559 00:32:59,836 --> 00:33:06,196 Speaker 7: DCB Please mark etes. 560 00:33:06,876 --> 00:33:11,676 Speaker 3: Ictg Hoy, Stuff Katan g, Martin Elsa. 561 00:33:11,516 --> 00:33:15,076 Speaker 2: And staff A SCANTRONA Day is part of Steinmann's musical 562 00:33:15,356 --> 00:33:19,436 Speaker 2: Solve for X, which you can check out at Solve 563 00:33:19,596 --> 00:33:23,236 Speaker 2: for x musical dot com. You want to get on 564 00:33:23,276 --> 00:33:27,916 Speaker 2: my good side, write me songs, Joanes Steinmann, you are 565 00:33:27,996 --> 00:33:33,516 Speaker 2: a genius, proof that sometimes good things happen outside of Atlanta. 566 00:33:33,916 --> 00:33:38,556 Speaker 6: Fav and just market every time. 567 00:33:39,236 --> 00:33:43,116 Speaker 2: That's all, ladies and gentlemen, stay safe, have a wonderful 568 00:33:43,196 --> 00:33:47,516 Speaker 2: holiday and see you for season six of Revision's History 569 00:33:48,156 --> 00:34:10,036 Speaker 2: in twenty twenty one. Revisions His He is produced by 570 00:34:10,316 --> 00:34:14,236 Speaker 2: Mia LaBelle and le Mingestu with Jacob Smith, Eloise Linton, 571 00:34:14,476 --> 00:34:18,756 Speaker 2: Kobe Guildford and ann An Aim. Our editor is Julia Barton. 572 00:34:19,036 --> 00:34:23,476 Speaker 2: Original scoring by the Great Luis Kara Ge You E 573 00:34:23,956 --> 00:34:28,156 Speaker 2: R R A mastering by Flawn Williams. Special thanks to 574 00:34:28,196 --> 00:34:32,396 Speaker 2: the Pushkin Crew head a Fine, Carlei Migliori, Maya Knig, 575 00:34:32,516 --> 00:34:38,276 Speaker 2: Maggie Taylor, Eric Sandler, Jason Cambrell, Martine Gonzalez, and of 576 00:34:38,316 --> 00:34:41,676 Speaker 2: course l Hafe Jacob Westbrook. 577 00:34:42,716 --> 00:34:43,556 Speaker 1: I'm mocol Bubble. 578 00:34:50,836 --> 00:34:52,316 Speaker 9: Put your pencils down. 579 00:34:54,916 --> 00:34:55,116 Speaker 3: Now. 580 00:34:55,156 --> 00:34:59,076 Speaker 2: I have to sing Little Feed, But I've forgotten and 581 00:34:59,156 --> 00:35:01,036 Speaker 2: I realized that what I thought with the lyrics to 582 00:35:01,076 --> 00:35:04,036 Speaker 2: Little Feed, we're not the lyrics A little feet. I 583 00:35:04,076 --> 00:35:05,876 Speaker 2: thought it was, Oh Atlanta, I hear you calling. 584 00:35:06,036 --> 00:35:06,436 Speaker 1: It's not. 585 00:35:08,356 --> 00:35:09,076 Speaker 2: You don't know the song? 586 00:35:10,036 --> 00:35:10,516 Speaker 9: You guys? 587 00:35:11,036 --> 00:35:12,116 Speaker 2: Do you guys know the song? 588 00:35:14,836 --> 00:35:15,796 Speaker 7: What? 589 00:35:15,796 --> 00:35:19,396 Speaker 2: What's the what's the Are you serious, Eloise? 590 00:35:19,476 --> 00:35:21,636 Speaker 11: Do you know it? Oh? 591 00:35:21,676 --> 00:35:28,076 Speaker 2: My god, came up hold on, I. 592 00:35:27,996 --> 00:35:34,556 Speaker 3: Said, Oh Atlanta, Oh Atlanta, I got. 593 00:35:34,396 --> 00:35:40,316 Speaker 2: To get back. Well, we'll do this later, I said. 594 00:35:42,076 --> 00:35:48,156 Speaker 3: I said, Oh Atlanta, oh Atlanta, I got to get 595 00:35:48,276 --> 00:35:50,116 Speaker 3: back to you, all right,