1 00:00:15,450 --> 00:00:27,450 Speaker 1: Pushkin. It's a Saturday evening in May twenty eighteen. Across Europe, 2 00:00:27,570 --> 00:00:31,370 Speaker 1: nearly two hundred million people are watching the same live 3 00:00:31,410 --> 00:00:36,690 Speaker 1: broadcast on television. The Grand final of the Eurovision Song contest. 4 00:00:37,810 --> 00:00:42,290 Speaker 1: Eurovision goes back decades. Every year, dozens of countries send 5 00:00:42,330 --> 00:00:46,010 Speaker 1: a song. Each country appoints a jury of musical experts 6 00:00:46,050 --> 00:00:48,970 Speaker 1: to judge the other songs, and there's a televote for 7 00:00:48,970 --> 00:00:52,410 Speaker 1: the viewing public. The jury vote and the televote get 8 00:00:52,450 --> 00:00:55,490 Speaker 1: turned into points and added together to decide the winner. 9 00:00:56,610 --> 00:01:00,650 Speaker 1: This year, two countries are generating all the hype longis 10 00:01:01,490 --> 00:01:06,210 Speaker 1: Cypress have sent a catchy electro pop number performed with 11 00:01:06,410 --> 00:01:09,930 Speaker 1: hair flicking abandoned by a sultry singer in a sparkly 12 00:01:10,010 --> 00:01:15,250 Speaker 1: cat suit. Israel have sent a sassy song about female empowerment, 13 00:01:16,450 --> 00:01:21,450 Speaker 1: featuring Japanese lucky Cat figurines and an impersonation of a chicken. 14 00:01:26,290 --> 00:01:30,250 Speaker 1: For most people watching, this is lighthearted Saturday night entertainment, 15 00:01:30,890 --> 00:01:34,050 Speaker 1: but not for one man, and especially not this year. 16 00:01:34,930 --> 00:01:41,410 Speaker 1: If Cypress wins, Daniel Gould will lose his house. I'm 17 00:01:41,490 --> 00:01:45,730 Speaker 1: Tim Harford and you're listening to a Eurovision special of 18 00:01:45,810 --> 00:02:11,810 Speaker 1: cautionary tales In this Cautionary Tale, I want to tell 19 00:02:11,890 --> 00:02:15,090 Speaker 1: Daniel Gould's story and what a story it is, but 20 00:02:15,290 --> 00:02:17,690 Speaker 1: I'm going to do things slightly differently because I'm not 21 00:02:17,730 --> 00:02:20,450 Speaker 1: going to tell it alone. I'm joined in the studio 22 00:02:20,810 --> 00:02:24,130 Speaker 1: by one of the Cautionary Tales team, Andrew Wright. Andrew 23 00:02:24,210 --> 00:02:27,010 Speaker 1: Illou's him. Andrew helps me research and write the scripts 24 00:02:27,010 --> 00:02:29,490 Speaker 1: for these podcasts, and well, normally I sit in front 25 00:02:29,490 --> 00:02:31,730 Speaker 1: of the microphone by myself and take the glory. But 26 00:02:31,930 --> 00:02:34,810 Speaker 1: I couldn't keep Andrew out of the spotlight this time 27 00:02:35,210 --> 00:02:37,370 Speaker 1: because Andrew is a very old friend of our hero 28 00:02:37,530 --> 00:02:38,210 Speaker 1: Daniel Gould. 29 00:02:38,450 --> 00:02:40,290 Speaker 2: And you met him yourself to him, remember back in 30 00:02:40,330 --> 00:02:40,650 Speaker 2: the day. 31 00:02:40,770 --> 00:02:42,650 Speaker 1: Hey, yep, we were all at college together and you 32 00:02:42,690 --> 00:02:44,730 Speaker 1: and I were housemates, and I met Daniel because he 33 00:02:44,770 --> 00:02:46,530 Speaker 1: was a friend of yours. Of course I remember him, 34 00:02:46,690 --> 00:02:49,770 Speaker 1: although I remember him as Dan. Yeah, I got to 35 00:02:49,770 --> 00:02:51,770 Speaker 1: know him as Dan as well. A few years later, 36 00:02:51,810 --> 00:02:54,610 Speaker 1: I noticed he'd started to introduce himself as Daniel. I 37 00:02:54,650 --> 00:02:56,890 Speaker 1: asked him why, and he said, there's a certain Southern 38 00:02:56,930 --> 00:02:59,890 Speaker 1: English accent where the name Dan Gould sounds like the 39 00:02:59,930 --> 00:03:02,410 Speaker 1: word dangled. And as soon as he'd heard this, he 40 00:03:02,410 --> 00:03:06,170 Speaker 1: couldn't done hear it, and he hated being dangle. Okay, Daniel, 41 00:03:06,210 --> 00:03:08,850 Speaker 1: it is nobody gets dangled on my podcast without their 42 00:03:08,850 --> 00:03:11,490 Speaker 1: concer and so I didn't keep in touch with Daniel 43 00:03:11,530 --> 00:03:15,410 Speaker 1: after college. But I understand that he became a professional gambler. 44 00:03:15,090 --> 00:03:17,810 Speaker 2: Or not just any professional gambler, tim a professional gambler 45 00:03:17,890 --> 00:03:19,490 Speaker 2: on the Eurovision Song Contest. 46 00:03:19,570 --> 00:03:22,170 Speaker 1: Right, So we should probably take a moment to explain 47 00:03:22,690 --> 00:03:25,970 Speaker 1: just what the Eurovision Song Contest is. Our listeners in 48 00:03:26,010 --> 00:03:28,050 Speaker 1: Europe will know exactly what it is, but for everyone 49 00:03:28,050 --> 00:03:30,490 Speaker 1: else it does take some explaining. 50 00:03:30,290 --> 00:03:32,570 Speaker 2: Yeah, it does. I think here in the UK we've 51 00:03:32,570 --> 00:03:34,610 Speaker 2: got used to thinking of Eurovision as a bit of 52 00:03:34,650 --> 00:03:37,170 Speaker 2: a joke. People like to poke fun at the terrible 53 00:03:37,210 --> 00:03:40,930 Speaker 2: songs and the crazy costumes and the rather elastic definition 54 00:03:40,970 --> 00:03:43,690 Speaker 2: of Europe. So every year there's an entry from Israel, 55 00:03:43,770 --> 00:03:46,410 Speaker 2: which is I'm at least close to Europe, and also 56 00:03:46,450 --> 00:03:47,290 Speaker 2: from Australia. 57 00:03:47,370 --> 00:03:50,570 Speaker 1: Australia not conventionally regarded as being part of Europe. But 58 00:03:50,610 --> 00:03:53,570 Speaker 1: I should say that although the British think it's a joke, 59 00:03:53,730 --> 00:03:55,450 Speaker 1: we do like a joke and I think a lot 60 00:03:55,490 --> 00:03:57,770 Speaker 1: of Brits like the Eurovision Song Contest as a. 61 00:03:57,730 --> 00:04:00,370 Speaker 2: Result we do. We enjoy it in a post modern 62 00:04:00,410 --> 00:04:03,450 Speaker 2: irony kind of way. But there's also this whole community 63 00:04:03,450 --> 00:04:07,130 Speaker 2: of fans across Europe who embrace Eurovision un ironically as 64 00:04:07,250 --> 00:04:10,450 Speaker 2: a cultural event that brings diverse people together. And a 65 00:04:10,450 --> 00:04:12,770 Speaker 2: lot of other countries take it rather more seriously than 66 00:04:12,810 --> 00:04:15,450 Speaker 2: the UK does. They see doing well in Eurovision as 67 00:04:15,650 --> 00:04:18,770 Speaker 2: a source of national pride. Eurovision's never been just about 68 00:04:18,810 --> 00:04:21,770 Speaker 2: the songs. There's always an element of politics to the vote. 69 00:04:21,810 --> 00:04:24,690 Speaker 2: In twenty twenty two, for instance, the contest took place 70 00:04:24,770 --> 00:04:27,530 Speaker 2: not long after Russia had invaded Ukraine and the song 71 00:04:27,530 --> 00:04:29,370 Speaker 2: from Ukraine one in a landslide. 72 00:04:29,370 --> 00:04:32,450 Speaker 1: I'm guessing that wasn't because people really liked Ukraine's song. 73 00:04:32,610 --> 00:04:34,770 Speaker 2: Now, they did really like Ukraine's song. It was one 74 00:04:34,810 --> 00:04:37,530 Speaker 2: of the betting favorites even before Russia invaded. And the 75 00:04:37,570 --> 00:04:40,690 Speaker 2: song's an ode to motherhood in Ukrainian by a folk 76 00:04:40,810 --> 00:04:43,170 Speaker 2: rap group whose lead singer where as a knitted pink 77 00:04:43,210 --> 00:04:46,530 Speaker 2: bucket head. Okay, I'm sold impossible not to like Ukraine song. 78 00:04:46,530 --> 00:04:48,490 Speaker 2: But yeah, and clearly you're right, a lot of people 79 00:04:48,490 --> 00:04:50,530 Speaker 2: were voting to send a message of solidarity. 80 00:04:50,810 --> 00:04:53,410 Speaker 1: Now you mentioned that it was one of the betting favorites. 81 00:04:53,490 --> 00:04:55,610 Speaker 1: And that takes us back to Daniel Gould and the 82 00:04:55,610 --> 00:04:57,930 Speaker 1: way he made his living by betting on the Eurovision 83 00:04:57,970 --> 00:05:00,850 Speaker 1: Song contest. So help me out here, because you've always 84 00:05:00,890 --> 00:05:04,330 Speaker 1: known more about gambling than I have. So there's a 85 00:05:04,370 --> 00:05:07,330 Speaker 1: betting market on which country is going to win Eurovision. 86 00:05:07,450 --> 00:05:09,810 Speaker 2: There's all kinds of betting markets on Eurovision. You can 87 00:05:09,850 --> 00:05:11,810 Speaker 2: bet on who'll win, who'll be in the top four 88 00:05:12,050 --> 00:05:14,610 Speaker 2: or the top ten, you can bet on will finish last. 89 00:05:14,770 --> 00:05:18,730 Speaker 2: The UK traditionally competitive there. Some of Daniel's biggest bets 90 00:05:18,730 --> 00:05:21,730 Speaker 2: were on which countries would qualify for the final from 91 00:05:21,770 --> 00:05:22,490 Speaker 2: the semifinal. 92 00:05:22,850 --> 00:05:25,210 Speaker 1: Okay, I meanizing I'm behind the curve is that there 93 00:05:25,210 --> 00:05:26,730 Speaker 1: are now semi finals and Eurovision. 94 00:05:26,930 --> 00:05:29,610 Speaker 2: Remember that there are semifinals because they realized they have 95 00:05:29,810 --> 00:05:32,370 Speaker 2: too many songs to fit them all into one show 96 00:05:32,410 --> 00:05:35,130 Speaker 2: on a Saturday night. And the very first Eurovision was 97 00:05:35,210 --> 00:05:37,730 Speaker 2: way back in nineteen fifty six. They had only seven 98 00:05:37,770 --> 00:05:40,410 Speaker 2: countries in it. It got bigger and bigger, and in 99 00:05:40,410 --> 00:05:43,290 Speaker 2: two thousand and four the organizers realized they needed to 100 00:05:43,330 --> 00:05:46,050 Speaker 2: whittle down the countries with a semi final, and that 101 00:05:46,130 --> 00:05:48,730 Speaker 2: was when Daniel realized that he could make some serious 102 00:05:48,730 --> 00:05:51,170 Speaker 2: money from Eurovision. He'd always loved it as a fan, 103 00:05:51,450 --> 00:05:53,690 Speaker 2: and he'd bet small amounts on it for years. But 104 00:05:53,770 --> 00:05:57,090 Speaker 2: he realized that some countries were practically guaranteed to get 105 00:05:57,170 --> 00:05:59,810 Speaker 2: enough points to qualify for the final just from the 106 00:05:59,850 --> 00:06:00,650 Speaker 2: diaspora vote. 107 00:06:00,650 --> 00:06:01,810 Speaker 1: Why does the diasper matter? 108 00:06:02,130 --> 00:06:04,730 Speaker 2: So in Eurovision you can't vote for your own country. 109 00:06:04,850 --> 00:06:07,290 Speaker 2: If I'm in the UK, i can't vote for the UK. 110 00:06:07,770 --> 00:06:10,370 Speaker 2: But if you're a person of Polish descent who's living 111 00:06:10,370 --> 00:06:13,050 Speaker 2: in the UK, then you can certainly vote for Poland song. 112 00:06:13,930 --> 00:06:17,490 Speaker 1: So by looking at historical patterns of migration across Europe, 113 00:06:17,570 --> 00:06:20,290 Speaker 1: you could anticipate where some countries will get votes from 114 00:06:20,330 --> 00:06:23,330 Speaker 1: other countries. And if I'm remembering our days at college correctly, 115 00:06:23,410 --> 00:06:24,850 Speaker 1: Daniels studied history. 116 00:06:24,570 --> 00:06:26,930 Speaker 2: Right, he did, and he was working at the time 117 00:06:27,010 --> 00:06:29,970 Speaker 2: as a history teacher. He soon started to wonder if 118 00:06:29,970 --> 00:06:32,570 Speaker 2: he could quit that job and go full time as 119 00:06:32,610 --> 00:06:33,850 Speaker 2: a Eurovision gambler. 120 00:06:34,090 --> 00:06:37,330 Speaker 1: Wait, Eurovision's only one night a year, or the well semifinals, 121 00:06:37,370 --> 00:06:40,370 Speaker 1: So one night plus the semifinal, So how can betting 122 00:06:40,370 --> 00:06:41,930 Speaker 1: on Eurovision be a full time job? 123 00:06:41,970 --> 00:06:44,610 Speaker 2: Well, that's true, but there's a Eurovision season and the 124 00:06:44,650 --> 00:06:47,450 Speaker 2: Eurovision season lasts for four or five months because a 125 00:06:47,450 --> 00:06:50,410 Speaker 2: lot of countries hold their own national competitions to choose 126 00:06:50,530 --> 00:06:54,290 Speaker 2: which song to send, and if you basically live online, 127 00:06:54,330 --> 00:06:56,170 Speaker 2: you can get ahead of the curve by spotting a 128 00:06:56,210 --> 00:06:59,370 Speaker 2: good song early. So in two thousand and nine, Daniel 129 00:06:59,530 --> 00:07:02,490 Speaker 2: was sitting at home on Saturday night watching a live 130 00:07:02,570 --> 00:07:05,730 Speaker 2: stream of Norwegian television on his laptop as you do, 131 00:07:06,050 --> 00:07:08,090 Speaker 2: as you do, and they've played a song that was 132 00:07:08,130 --> 00:07:10,690 Speaker 2: competing to be Norway's entry that year, and Daniel heard 133 00:07:10,730 --> 00:07:12,770 Speaker 2: it and thought, this is going to do really well. 134 00:07:12,970 --> 00:07:13,730 Speaker 1: How could he tell? 135 00:07:14,090 --> 00:07:18,130 Speaker 2: And partly, of course it's intuition, but the singer was Norwegian, 136 00:07:18,170 --> 00:07:20,370 Speaker 2: but he was born in Belarus, so there's some points 137 00:07:20,370 --> 00:07:23,010 Speaker 2: from Belarus to start with. The song itself was a 138 00:07:23,090 --> 00:07:27,170 Speaker 2: kind of fusion of Eastern European folk violin and Western 139 00:07:27,210 --> 00:07:29,250 Speaker 2: European pop, and it seemed like the kind of thing 140 00:07:29,290 --> 00:07:30,770 Speaker 2: that would do really well all. 141 00:07:30,690 --> 00:07:31,570 Speaker 1: Across the continent. 142 00:07:33,210 --> 00:07:36,570 Speaker 2: So Daniel started to bet on Norway to win Eurovision 143 00:07:36,730 --> 00:07:39,210 Speaker 2: before Norway had even chosen this song to represent it, 144 00:07:39,490 --> 00:07:41,650 Speaker 2: and because he'd spotted the song early, the odds were 145 00:07:41,810 --> 00:07:43,330 Speaker 2: still good sixteen to one. 146 00:07:43,570 --> 00:07:46,450 Speaker 1: So for every dollar you bet you win sixteen. 147 00:07:46,690 --> 00:07:50,090 Speaker 2: Yeah, that's right, Norway one. And Daniel won enough that 148 00:07:50,210 --> 00:07:52,930 Speaker 2: year to pay off the mortgage on his apartment in London. 149 00:07:53,450 --> 00:07:56,370 Speaker 2: Very nice, very nice, indeed, and he thought, well, I 150 00:07:56,370 --> 00:07:58,850 Speaker 2: don't need much money to live on anymore. I'm going 151 00:07:58,930 --> 00:08:00,650 Speaker 2: to take the plunge. I'm going to quit my day job. 152 00:08:00,850 --> 00:08:02,970 Speaker 1: So for four or five months of the year he 153 00:08:03,130 --> 00:08:06,570 Speaker 1: is now living online, watching live streams of Norwegian television 154 00:08:06,610 --> 00:08:11,450 Speaker 1: or whatever, and is following all the Eurovision news. What's 155 00:08:11,450 --> 00:08:12,570 Speaker 1: happening the rest of the year. 156 00:08:12,490 --> 00:08:14,290 Speaker 2: Well, he spent a lot of it traveling. He had 157 00:08:14,290 --> 00:08:16,370 Speaker 2: friends all over the world and he'd go and stay 158 00:08:16,370 --> 00:08:18,810 Speaker 2: with them, and he'd go to places he'd never been before. 159 00:08:18,850 --> 00:08:20,650 Speaker 2: That sounds a nice enough way to live. Yeah, it 160 00:08:20,730 --> 00:08:22,650 Speaker 2: was a lovely way to live. I think Daniel's the 161 00:08:22,690 --> 00:08:25,930 Speaker 2: only person I've ever known who lived exactly the lifestyle 162 00:08:25,930 --> 00:08:27,810 Speaker 2: he wanted to live, but who never had to do 163 00:08:27,850 --> 00:08:30,050 Speaker 2: anything he didn't enjoy to get the money to fund 164 00:08:30,050 --> 00:08:32,650 Speaker 2: that lifestyle. How much money are we talking about, Well, 165 00:08:32,770 --> 00:08:35,410 Speaker 2: Daniel told me that he could get by on twenty 166 00:08:35,530 --> 00:08:37,490 Speaker 2: thousand pounds a year if he had to. That's about 167 00:08:37,530 --> 00:08:40,290 Speaker 2: twenty five thousand dollars so not a fortune by any means, 168 00:08:40,610 --> 00:08:43,170 Speaker 2: But in a typical Eurovision he would win maybe two 169 00:08:43,290 --> 00:08:43,890 Speaker 2: or three times that. 170 00:08:44,130 --> 00:08:47,450 Speaker 1: So that's what fifty to eighty thousand dollars. So how 171 00:08:47,530 --> 00:08:49,410 Speaker 1: much did he have to risk to win that much? 172 00:08:49,650 --> 00:08:52,290 Speaker 2: Some of Daniel's biggest bets might be something like one 173 00:08:52,370 --> 00:08:55,490 Speaker 2: hundred thousand pounds on a country to qualify from the 174 00:08:55,530 --> 00:08:58,490 Speaker 2: Eurovision semifinal, and the odds would be very short on 175 00:08:58,490 --> 00:09:00,450 Speaker 2: those kind of bets. He might only stand to win 176 00:09:00,530 --> 00:09:03,570 Speaker 2: about three thousand, but he'd be ninety nine percent confident 177 00:09:03,610 --> 00:09:04,410 Speaker 2: in the bet coming in. 178 00:09:04,810 --> 00:09:07,210 Speaker 1: That's more than one hundred thousand dollars at stake. So 179 00:09:07,210 --> 00:09:08,450 Speaker 1: how did he get that kind of money? 180 00:09:08,610 --> 00:09:11,410 Speaker 2: Well, every year before Eurovision, Daniel took out a loan 181 00:09:11,490 --> 00:09:14,490 Speaker 2: secured against the value of his apartment in London, and 182 00:09:14,610 --> 00:09:17,170 Speaker 2: every year after Eurovision he paid the loan back again. 183 00:09:17,530 --> 00:09:19,810 Speaker 1: So each year he's putting his home on the line. 184 00:09:19,850 --> 00:09:22,210 Speaker 1: And some people might raise an eyebrow at that. 185 00:09:22,370 --> 00:09:24,530 Speaker 2: Well, I think it will be different for you or me, Tim, 186 00:09:24,570 --> 00:09:26,730 Speaker 2: because we've both got kids and we wouldn't like to 187 00:09:26,770 --> 00:09:28,810 Speaker 2: sit them down and explain to them that we've gambled 188 00:09:28,810 --> 00:09:31,330 Speaker 2: their home away because we misjudged the popular appeal of 189 00:09:31,370 --> 00:09:34,050 Speaker 2: a Ukrainian folk rapper in a edited pink bucket hat. 190 00:09:34,330 --> 00:09:36,010 Speaker 2: But it was different for Daniel. He was a single man. 191 00:09:36,050 --> 00:09:38,570 Speaker 2: He had no dependence. He wasn't risking anybody's future but 192 00:09:38,610 --> 00:09:40,570 Speaker 2: his own. How would you find out whether he had 193 00:09:40,730 --> 00:09:44,490 Speaker 2: one three thousand or lost one hundred thousand? Presumably it's 194 00:09:44,530 --> 00:09:47,450 Speaker 2: the presenters of the program reading out a list of 195 00:09:47,530 --> 00:09:50,370 Speaker 2: names of countries that are qualified. Yeah, and with very 196 00:09:50,610 --> 00:09:52,690 Speaker 2: very long pauses for dramatic effect. 197 00:09:52,810 --> 00:09:54,690 Speaker 1: I can imagine how can he bear to watch? 198 00:09:54,730 --> 00:09:56,530 Speaker 2: Well? I asked him that once. He said, what do 199 00:09:56,570 --> 00:09:58,890 Speaker 2: you mean watch? I'm standing in the corner of the room, 200 00:09:58,970 --> 00:10:02,130 Speaker 2: facing the wall, bent double and biting my fist. I 201 00:10:02,170 --> 00:10:04,570 Speaker 2: was always amazed that he got through those nights, because see, 202 00:10:04,570 --> 00:10:05,650 Speaker 2: I would have had a heart attack. 203 00:10:06,330 --> 00:10:08,450 Speaker 3: That got the second highest votes. 204 00:10:10,530 --> 00:10:12,210 Speaker 1: Now, I don't know much about gambling, but I do 205 00:10:12,290 --> 00:10:14,490 Speaker 1: know a bit about investing, and there is a term 206 00:10:14,530 --> 00:10:16,410 Speaker 1: of art for this sort of risk in the investment world, 207 00:10:16,610 --> 00:10:19,610 Speaker 1: where you're putting huge amounts on the line for the 208 00:10:19,730 --> 00:10:23,810 Speaker 1: near certainty of small rewards. People call it picking up 209 00:10:23,930 --> 00:10:26,370 Speaker 1: pennies in front of a steamroller, and that sounds very 210 00:10:26,450 --> 00:10:28,210 Speaker 1: much like what Daniel was doing with some of these 211 00:10:28,250 --> 00:10:28,970 Speaker 1: Eurovision bets. 212 00:10:29,050 --> 00:10:31,050 Speaker 2: Yeah, it's exactly what he was doing. Though he'd always 213 00:10:31,090 --> 00:10:33,650 Speaker 2: been careful to make sure that no single bet would 214 00:10:33,650 --> 00:10:35,730 Speaker 2: be big enough to wipe him out if it lost. 215 00:10:36,290 --> 00:10:38,810 Speaker 2: But then in twenty eighteen he took a bit of 216 00:10:38,850 --> 00:10:41,130 Speaker 2: a stumble in front of the steamroller. 217 00:10:40,850 --> 00:10:57,090 Speaker 1: Hold that thought. Cautionary Tales will return. You're listening to 218 00:10:57,210 --> 00:11:01,970 Speaker 1: a Eurovision special of Cautionary Tales. Our hero is professional 219 00:11:02,010 --> 00:11:05,450 Speaker 1: gambler Daniel Gould, and one of Daniel's closest friends is 220 00:11:05,490 --> 00:11:09,410 Speaker 1: Andrew Wright, who writes for Cautionary Tales. Andrew t I 221 00:11:09,410 --> 00:11:11,690 Speaker 1: met Daniel at college when we were all students. It 222 00:11:11,770 --> 00:11:13,610 Speaker 1: was when you and he were going to the racetrack together. 223 00:11:13,730 --> 00:11:16,410 Speaker 2: Yeah, Daniel and I became friends as teenagers because we 224 00:11:16,490 --> 00:11:19,770 Speaker 2: shared an interest in betting on horses. We both learned 225 00:11:19,770 --> 00:11:21,690 Speaker 2: that there are people who make a living from betting 226 00:11:21,730 --> 00:11:23,930 Speaker 2: on horses, and we thought this sounded like a great 227 00:11:23,970 --> 00:11:25,330 Speaker 2: way to live, more fun than working. 228 00:11:25,610 --> 00:11:27,890 Speaker 1: But unlike him, you didn't become a professional gambler. 229 00:11:28,090 --> 00:11:28,170 Speaker 3: No. 230 00:11:28,410 --> 00:11:30,930 Speaker 2: I gave up on that idea very quickly because I 231 00:11:30,970 --> 00:11:33,690 Speaker 2: met some professional gamblers and I realized that it really 232 00:11:33,770 --> 00:11:35,530 Speaker 2: is hard work. Those guys put the hours in. 233 00:11:35,890 --> 00:11:37,770 Speaker 1: It explains it. You never did like hard work. 234 00:11:38,170 --> 00:11:40,690 Speaker 2: I'm not going to deny that, Tim, But it's not 235 00:11:40,810 --> 00:11:43,730 Speaker 2: just about the hard work. It's also mindset. I realized 236 00:11:43,770 --> 00:11:46,050 Speaker 2: that I didn't have the right mindset to be a 237 00:11:46,050 --> 00:11:49,170 Speaker 2: professional gambler, and Daniel did. But it was only years 238 00:11:49,250 --> 00:11:51,810 Speaker 2: later that I came across the vocabulary to explain why 239 00:11:51,850 --> 00:11:54,130 Speaker 2: that was when I read about a project that I 240 00:11:54,170 --> 00:11:56,690 Speaker 2: know you know very well, Tim, Philip Tetlock's work on 241 00:11:56,730 --> 00:11:57,410 Speaker 2: super Forecast. 242 00:11:57,770 --> 00:12:00,970 Speaker 1: Phil Tetlock, Yes, he's a psychologist, wonderful researcher, and we 243 00:12:01,050 --> 00:12:04,050 Speaker 1: met his work before on Cause Metales. In the episode 244 00:12:04,090 --> 00:12:06,890 Speaker 1: titled Buried by the Wall Street Crash. Back in the 245 00:12:06,970 --> 00:12:09,730 Speaker 1: nineteen eighties, Tetlock noticed that the world was full of 246 00:12:09,770 --> 00:12:12,890 Speaker 1: people who were treated as experts in areas such as 247 00:12:12,930 --> 00:12:16,810 Speaker 1: economics and politics, but they kept forecasting things that didn't happen, 248 00:12:17,170 --> 00:12:20,130 Speaker 1: and Tetlock asked, what does it even mean to be 249 00:12:20,330 --> 00:12:24,610 Speaker 1: an expert? He asked these supposed experts to make forecasts 250 00:12:24,650 --> 00:12:28,570 Speaker 1: on very specific future events, such as election results or 251 00:12:28,650 --> 00:12:31,490 Speaker 1: whether the stock market would reach a particular level, and 252 00:12:31,530 --> 00:12:34,450 Speaker 1: they had to put an exact percentage figure on how 253 00:12:34,650 --> 00:12:38,290 Speaker 1: likely they thought these things were. He held competitions at 254 00:12:38,290 --> 00:12:41,530 Speaker 1: first for established experts, and later he opened things up 255 00:12:41,570 --> 00:12:43,890 Speaker 1: to all comers. In fact, he even invited me to 256 00:12:43,970 --> 00:12:46,890 Speaker 1: join the experiment, and I got his email on April first. 257 00:12:46,890 --> 00:12:49,530 Speaker 2: I thought it was a joke. You didn't join the experiment, though, 258 00:12:49,530 --> 00:12:49,770 Speaker 2: did you? 259 00:12:49,810 --> 00:12:49,970 Speaker 3: Tim? 260 00:12:50,090 --> 00:12:50,210 Speaker 2: Oh? 261 00:12:50,250 --> 00:12:53,210 Speaker 1: No, I didn't and too lazy, too cowardly. But I 262 00:12:53,290 --> 00:12:56,970 Speaker 1: did pay close attention to the research. Tetlock's headline result 263 00:12:57,290 --> 00:13:01,450 Speaker 1: was very famous. Most high profile pundits do no better 264 00:13:01,530 --> 00:13:04,010 Speaker 1: than random chants. If you want to know who's going 265 00:13:04,010 --> 00:13:06,730 Speaker 1: to win an election or a war, you could listen 266 00:13:06,730 --> 00:13:09,290 Speaker 1: to the talking heads on television, or you could get 267 00:13:09,330 --> 00:13:13,450 Speaker 1: a chimpanzee to throw a data at a wall. Tellock 268 00:13:13,530 --> 00:13:17,370 Speaker 1: found that some people did make better than random predictions, 269 00:13:17,690 --> 00:13:20,650 Speaker 1: and he called them super forecasters. 270 00:13:20,130 --> 00:13:21,930 Speaker 2: And in his book he talks about how they have 271 00:13:22,130 --> 00:13:25,130 Speaker 2: a different thinking style. He quotes the philosopher Isaiah Berlin 272 00:13:25,330 --> 00:13:28,370 Speaker 2: on the two thinking styles foxes and hedgehogs. 273 00:13:27,930 --> 00:13:31,250 Speaker 1: Yes, which that distinction comes from an old fragment of 274 00:13:31,290 --> 00:13:35,770 Speaker 1: classical poetry. The fox knows many things. The hedgehog knows 275 00:13:35,810 --> 00:13:39,170 Speaker 1: one big thing. Tellog later said that the whole Fox's 276 00:13:39,210 --> 00:13:41,570 Speaker 1: hedgehogs thing was a bit of an oversimplification, but I 277 00:13:41,570 --> 00:13:44,610 Speaker 1: think it's stuck in people's mind because it's a great 278 00:13:44,650 --> 00:13:48,650 Speaker 1: way of understanding his meaning. The super forecasters, they're the foxes. 279 00:13:48,770 --> 00:13:51,570 Speaker 1: They look at many clues from many sources, and these 280 00:13:51,610 --> 00:13:54,610 Speaker 1: clues often contradict each other. They decide how much weight 281 00:13:54,770 --> 00:13:57,570 Speaker 1: to give to each clue. They think in probabilities, which 282 00:13:57,810 --> 00:14:01,290 Speaker 1: doesn't come easily to a lot of people. Hedgehogs are different. 283 00:14:01,730 --> 00:14:06,010 Speaker 1: They are convinced that there's one big idea that explains everything. 284 00:14:06,290 --> 00:14:10,250 Speaker 1: Maybe it's Marxism or libertarianism, but whatever it is, they 285 00:14:10,250 --> 00:14:12,530 Speaker 1: try to make all the clues fit that big idea. 286 00:14:13,210 --> 00:14:15,570 Speaker 2: When I read Tetlock's book, I realized that a lot 287 00:14:15,570 --> 00:14:17,610 Speaker 2: of the gamblers I've met in my horse racing days 288 00:14:17,650 --> 00:14:20,970 Speaker 2: were hedgehogs, although not quite in the way that Tetlock describes. 289 00:14:21,130 --> 00:14:24,090 Speaker 2: It's not that they have some grand theory of horse racing, 290 00:14:24,170 --> 00:14:26,850 Speaker 2: but they're convinced there must be a system, if only 291 00:14:26,890 --> 00:14:28,970 Speaker 2: they could join the dots and figure out what it is. 292 00:14:29,370 --> 00:14:31,650 Speaker 2: So maybe they'll bet on the favorites in certain kind 293 00:14:31,650 --> 00:14:34,810 Speaker 2: of race, or maybe they'll bet on certain jockeys at 294 00:14:34,810 --> 00:14:38,730 Speaker 2: certain courses. But the professional gamblers are all foxes. They 295 00:14:38,810 --> 00:14:42,370 Speaker 2: understand that there's no system to be found. They understand 296 00:14:42,370 --> 00:14:44,130 Speaker 2: that there aren't any hidden dots to be joined. 297 00:14:44,570 --> 00:14:47,410 Speaker 1: And Tetlock makes the point that forecasting isn't just about 298 00:14:47,410 --> 00:14:51,090 Speaker 1: politics or stock markets, or even horse races or indeed Eurovision. 299 00:14:51,690 --> 00:14:54,210 Speaker 1: We're all forecasters all the time. Am I going to 300 00:14:54,210 --> 00:14:55,930 Speaker 1: be happier if I moved to this city? Am I 301 00:14:55,930 --> 00:14:58,010 Speaker 1: going to be healthier if I go on that diet? 302 00:14:58,650 --> 00:15:01,850 Speaker 1: When you're forecasting the future, what you're really doing is 303 00:15:01,890 --> 00:15:05,490 Speaker 1: trying to understand what forces are acting to shape the present. 304 00:15:06,170 --> 00:15:07,890 Speaker 1: And we all do that so that we can make 305 00:15:07,930 --> 00:15:12,090 Speaker 1: better decisions. You mentioned health, Tim, and Daniel's story isn't 306 00:15:12,130 --> 00:15:14,410 Speaker 1: just about gambling. Let me tell you about something that 307 00:15:14,450 --> 00:15:16,970 Speaker 1: happened to him early in twenty seventeen. This is the 308 00:15:17,050 --> 00:15:20,530 Speaker 1: year before that tumultuous Eurovision. That's right, Daniel had been 309 00:15:20,570 --> 00:15:22,890 Speaker 1: on holiday in New York. The day after he got 310 00:15:22,930 --> 00:15:25,850 Speaker 1: back to London, he had a routine appointment at hospital. 311 00:15:26,250 --> 00:15:28,650 Speaker 1: A few years earlier, he'd been treated for skin cancer. 312 00:15:28,970 --> 00:15:31,730 Speaker 1: The doctors removed a mole, and every year since then 313 00:15:31,770 --> 00:15:34,450 Speaker 1: the dermatologists got him back in to check him over 314 00:15:34,530 --> 00:15:36,130 Speaker 1: and make sure that there was no sign of it 315 00:15:36,250 --> 00:15:39,130 Speaker 1: coming back. He'd just been checked over by the dermatologist 316 00:15:39,210 --> 00:15:41,010 Speaker 1: and got the all clear. He was buttoning up his 317 00:15:41,010 --> 00:15:44,170 Speaker 1: shirt again when he had a stroke. Wow. I mean, 318 00:15:44,170 --> 00:15:46,890 Speaker 1: it's an astonishing coincidence. If you're going to have a stroke, 319 00:15:46,970 --> 00:15:48,490 Speaker 1: you want to be in hospital standing in front of 320 00:15:48,490 --> 00:15:48,930 Speaker 1: a doctor. 321 00:15:49,130 --> 00:15:51,850 Speaker 2: Yeah. It meant that he got treatment straight away, and 322 00:15:51,930 --> 00:15:54,450 Speaker 2: that meant that he recovered remarkably quickly, in just a 323 00:15:54,450 --> 00:15:57,690 Speaker 2: few days. He was fascinated afterwards to look back on 324 00:15:57,770 --> 00:16:00,850 Speaker 2: how his brain had reconstructed itself. So on the first 325 00:16:00,890 --> 00:16:04,250 Speaker 2: day his speech was very garbled, and then there came 326 00:16:04,290 --> 00:16:06,210 Speaker 2: a day when he was almost back to normal, but 327 00:16:06,250 --> 00:16:09,330 Speaker 2: he just couldn't access parts of his memory. So doctor 328 00:16:09,330 --> 00:16:13,890 Speaker 2: asked him to count to ten, and he said one, two, three, four, five, six, 329 00:16:14,770 --> 00:16:17,250 Speaker 2: That number between six and eight, eight nine, ten. Well, 330 00:16:17,250 --> 00:16:19,170 Speaker 2: he couldn't think of the number seven or the name 331 00:16:19,250 --> 00:16:21,330 Speaker 2: New York. When the doctor asked where he'd just been 332 00:16:21,370 --> 00:16:23,610 Speaker 2: on holiday, all he could say was, oh, you know 333 00:16:24,010 --> 00:16:27,530 Speaker 2: the Big Apple, the city that never sleeps. But that passed, 334 00:16:27,570 --> 00:16:30,650 Speaker 2: and he then became very anxious to understand why the 335 00:16:30,690 --> 00:16:33,090 Speaker 2: stroke might have happened, and what he might be able 336 00:16:33,130 --> 00:16:35,330 Speaker 2: to do to stop it happening again, Because it's just 337 00:16:35,370 --> 00:16:37,650 Speaker 2: like what you said, Tim, when we're forecasting the future, 338 00:16:37,770 --> 00:16:40,730 Speaker 2: what we're really doing is trying to understand the present, 339 00:16:41,170 --> 00:16:42,850 Speaker 2: and we do that so that we can make better 340 00:16:42,890 --> 00:16:45,610 Speaker 2: decisions to shape the future. But when we looked at 341 00:16:45,650 --> 00:16:48,130 Speaker 2: the list of risk factors for stroke, none of them 342 00:16:48,130 --> 00:16:51,810 Speaker 2: really applied to Daniel because he wasn't old, he wasn't obese, 343 00:16:51,930 --> 00:16:53,810 Speaker 2: he didn't smoke, he didn't drink much. 344 00:16:54,050 --> 00:16:56,450 Speaker 1: But it'd just been on a long haul flight from 345 00:16:56,650 --> 00:16:59,010 Speaker 1: the Big Apple the day before the stroke. Said doesn't 346 00:16:59,050 --> 00:16:59,650 Speaker 1: that explain it? 347 00:16:59,730 --> 00:17:01,970 Speaker 2: Well, you're thinking of deep vein thrombosis to Tim, And 348 00:17:02,010 --> 00:17:04,450 Speaker 2: the doctors wondered that too, but no, they couldn't find 349 00:17:04,490 --> 00:17:07,170 Speaker 2: any evidence for it. The only thing the doctors could 350 00:17:07,210 --> 00:17:09,690 Speaker 2: think of was that for many years Daniel had been 351 00:17:09,690 --> 00:17:11,810 Speaker 2: living with HIV and he was still on an old 352 00:17:11,810 --> 00:17:14,810 Speaker 2: fashioned drug regime, one that raised the risk of blood clots. 353 00:17:15,130 --> 00:17:17,290 Speaker 2: So they swapped him onto a newer drug and he 354 00:17:17,450 --> 00:17:19,770 Speaker 2: started to take asprin every day, and he hoped that 355 00:17:19,850 --> 00:17:22,210 Speaker 2: would be enough to minimize the chance of it happening again. 356 00:17:22,770 --> 00:17:26,730 Speaker 1: Now in that situation, i'd be worried about lingering effects. Yeah. 357 00:17:26,890 --> 00:17:29,810 Speaker 2: I was very worried about it because the stroke happened 358 00:17:29,970 --> 00:17:32,570 Speaker 2: soon before Eurovision and Daniel was going to have to 359 00:17:32,610 --> 00:17:36,850 Speaker 2: do his usual rapid mental arithmetic on odds and probabilities. 360 00:17:37,290 --> 00:17:39,250 Speaker 2: And this is a man who just briefly lost the 361 00:17:39,290 --> 00:17:41,250 Speaker 2: ability to say the number seven. So yeah, I was 362 00:17:41,290 --> 00:17:44,050 Speaker 2: worried what would happen if he wasn't on tiptop mental form. 363 00:17:44,490 --> 00:17:46,450 Speaker 1: And this was when twenty seventeen, Yeah, the. 364 00:17:46,410 --> 00:17:50,370 Speaker 2: Twenty seventeen Eurovision Song Contest and tim am I allowed 365 00:17:50,410 --> 00:17:52,090 Speaker 2: to swear on the podcast. 366 00:17:52,690 --> 00:17:55,330 Speaker 1: It rather depends on what the word is. Let's find out, 367 00:17:55,410 --> 00:17:55,810 Speaker 1: go for it. 368 00:17:55,890 --> 00:17:57,970 Speaker 2: Well, I wanted to introduce you to a term of 369 00:17:58,090 --> 00:18:01,170 Speaker 2: art from Eurovision betting, and that term is fan wank. 370 00:18:01,730 --> 00:18:04,530 Speaker 1: This was very good, all right, yes, I'll allow it. 371 00:18:04,810 --> 00:18:07,410 Speaker 2: Excellent. Well, this was Daniel's word for a song that 372 00:18:07,490 --> 00:18:10,490 Speaker 2: was really popular with the Eurovision fan community, but that 373 00:18:11,010 --> 00:18:13,250 Speaker 2: wasn't going to catch on with the wider viewing public, 374 00:18:13,250 --> 00:18:16,090 Speaker 2: the people that actually vote for the winner, because for 375 00:18:16,130 --> 00:18:19,010 Speaker 2: most of Eurovision season it's only really the fans who 376 00:18:19,090 --> 00:18:21,490 Speaker 2: are engaging with the betting, and a lot of people 377 00:18:21,650 --> 00:18:23,730 Speaker 2: make the mistake of betting on things that they want 378 00:18:23,930 --> 00:18:26,450 Speaker 2: to happen. Over the years, Daniel had made a lot 379 00:18:26,450 --> 00:18:29,930 Speaker 2: of money by identifying these fan wank songs and betting 380 00:18:30,010 --> 00:18:33,610 Speaker 2: against them, betting against them. So, just so I understand 381 00:18:33,650 --> 00:18:36,770 Speaker 2: that means, say, the odds are sixteen to one, and 382 00:18:36,890 --> 00:18:39,410 Speaker 2: I'm a fan, so I'm betting a dollar to win 383 00:18:39,890 --> 00:18:42,930 Speaker 2: sixteen dollars. And then Daniel's on the opposite side of 384 00:18:42,970 --> 00:18:45,570 Speaker 2: the bet, so he is risking sixteen dollars in the 385 00:18:45,570 --> 00:18:48,690 Speaker 2: hope of winning one dollar because he thinks that actually, 386 00:18:48,690 --> 00:18:51,970 Speaker 2: my sixteen to one song has basically no chance. He's 387 00:18:51,970 --> 00:18:54,210 Speaker 2: picking up the pennies in front of a steamroller again. Yeah, 388 00:18:54,210 --> 00:18:57,330 Speaker 2: that's exactly right. And in twenty seventeen, Daniel thought that 389 00:18:57,370 --> 00:19:00,130 Speaker 2: the song from Portugal was an example of fan wank. 390 00:19:00,250 --> 00:19:02,890 Speaker 2: It was a very simple jazz waltz. The fans loved 391 00:19:02,890 --> 00:19:06,210 Speaker 2: it because they thought it was charming and authentic. Daniel 392 00:19:06,250 --> 00:19:08,650 Speaker 2: thought that the wider TV viewers would see it as 393 00:19:09,250 --> 00:19:12,050 Speaker 2: did and dull. You can only really get a sense 394 00:19:12,090 --> 00:19:14,690 Speaker 2: of what's proven popular when the semi finals are broadcast, 395 00:19:14,850 --> 00:19:16,850 Speaker 2: And it turned out that Daniel had got it wrong. 396 00:19:17,010 --> 00:19:19,410 Speaker 2: The wider viewers really did like Portugal song as much 397 00:19:19,450 --> 00:19:21,330 Speaker 2: as the fans did. So how could he tell that 398 00:19:21,610 --> 00:19:23,970 Speaker 2: because the song qualified for the final Well, that alone 399 00:19:24,050 --> 00:19:26,810 Speaker 2: doesn't tell you much, because more songs qualify than not. 400 00:19:27,210 --> 00:19:28,930 Speaker 2: But there's other data that you can look at to 401 00:19:28,930 --> 00:19:30,850 Speaker 2: get a sense of which of the songs have caught 402 00:19:30,890 --> 00:19:33,130 Speaker 2: the attention of the viewing public. You can look at 403 00:19:33,170 --> 00:19:35,490 Speaker 2: which of them people are listening to on Spotify. You 404 00:19:35,530 --> 00:19:37,930 Speaker 2: can look at which of the performances people are rewatching 405 00:19:37,970 --> 00:19:40,850 Speaker 2: on YouTube. You can look at Google trends. So you 406 00:19:40,850 --> 00:19:43,090 Speaker 2: were right to worry because Daniel had made a mistake. Well, 407 00:19:43,170 --> 00:19:45,090 Speaker 2: Daniel had made a mistake, But that doesn't mean I 408 00:19:45,130 --> 00:19:48,050 Speaker 2: was right to worry because professional gamblers make mistakes all 409 00:19:48,090 --> 00:19:50,490 Speaker 2: the time, and part of the reason they're professional is 410 00:19:50,490 --> 00:19:53,170 Speaker 2: that they notice those mistakes quickly and they act quickly 411 00:19:53,210 --> 00:19:55,170 Speaker 2: to cut their losses and minimize the damage. 412 00:19:55,250 --> 00:19:58,530 Speaker 1: So minimizing the damage that's for example, it's like buying 413 00:19:58,530 --> 00:20:02,090 Speaker 1: a share in a company and then the share price falls, 414 00:20:02,490 --> 00:20:06,090 Speaker 1: so you've lost money. Now, cutting your losses means you 415 00:20:06,130 --> 00:20:08,370 Speaker 1: anticipate that the share price is going to continue to fall, 416 00:20:08,410 --> 00:20:11,210 Speaker 1: and you sell before that happens. You lost money, but 417 00:20:11,210 --> 00:20:13,610 Speaker 1: you could have lost a lot more. Yeah, And psychologically 418 00:20:13,650 --> 00:20:16,970 Speaker 1: that's really difficult to do. Whether you're an investor or 419 00:20:17,250 --> 00:20:20,090 Speaker 1: a gambler, the temptation is always to be stubborn, to 420 00:20:20,290 --> 00:20:23,570 Speaker 1: hold on and hope. Now, Philip Tetlock tells us that 421 00:20:23,810 --> 00:20:26,930 Speaker 1: foxes are good at changing their minds and hedgehogs aren't, 422 00:20:26,970 --> 00:20:30,010 Speaker 1: and that's part of the reason why foxes do so well. Yes, 423 00:20:30,090 --> 00:20:33,370 Speaker 1: I remember in Tetlock's competitions for super forecasters, the ones 424 00:20:33,370 --> 00:20:37,290 Speaker 1: who did best would be constantly updating their forecasts in 425 00:20:37,330 --> 00:20:40,170 Speaker 1: response to new information. And sometimes they'd just be tweaking 426 00:20:40,610 --> 00:20:42,890 Speaker 1: a prediction by a percentage point or two, but sometimes 427 00:20:42,930 --> 00:20:44,410 Speaker 1: they'd completely reverse their opinion. 428 00:20:44,530 --> 00:20:47,370 Speaker 2: And Daniel was great at completely reversing opinion when he 429 00:20:47,410 --> 00:20:49,690 Speaker 2: saw that he had to. So Yeah, he lost money 430 00:20:49,690 --> 00:20:52,650 Speaker 2: on Portugal, but not too much because he acted quickly 431 00:20:52,650 --> 00:20:55,050 Speaker 2: to cut his losses, and he made lots of money 432 00:20:55,050 --> 00:20:56,850 Speaker 2: on most of his other bets that year, so he 433 00:20:56,970 --> 00:20:59,010 Speaker 2: ended the year with his normal kind of profit to 434 00:20:59,050 --> 00:21:02,130 Speaker 2: fund another year's travels, which brings us to the following 435 00:21:02,290 --> 00:21:06,050 Speaker 2: year's Eurovision twenty eighteen, the last Eurovision that Daniel ever 436 00:21:06,090 --> 00:21:08,530 Speaker 2: bet on, and this time he made a mistake that 437 00:21:08,570 --> 00:21:12,290 Speaker 2: he couldn't back out of cautionary tales. Will be back 438 00:21:12,290 --> 00:21:23,930 Speaker 2: in a moment. It's the twenty eighteen Eurovision Song Contest 439 00:21:24,290 --> 00:21:26,050 Speaker 2: what we heard about at the start of the show, 440 00:21:26,250 --> 00:21:30,890 Speaker 2: with two songs in contention for the win, Cypress and Israel. 441 00:21:31,450 --> 00:21:34,050 Speaker 2: Andrew Wright is with me in the studio to tell 442 00:21:34,050 --> 00:21:37,690 Speaker 2: the story. All through Eurovision season, Daniel had been very 443 00:21:37,770 --> 00:21:40,330 Speaker 2: keen on the chances of the song from Israel That's 444 00:21:40,370 --> 00:21:43,210 Speaker 2: the sassy female empowerment song with the chicken noises of 445 00:21:43,250 --> 00:21:47,370 Speaker 2: the Japanese lu Fagorinas. He also thought that he'd spotted 446 00:21:47,490 --> 00:21:49,330 Speaker 2: a fan wank in the shape of the song from 447 00:21:49,370 --> 00:21:52,610 Speaker 2: Cyprus Fuey Go that's the sultry singer in the Sparky 448 00:21:52,610 --> 00:21:56,250 Speaker 2: Cat sued. The fans loved Cypress. They thought it was 449 00:21:56,250 --> 00:21:59,850 Speaker 2: a classic euro dance banger. Daniel thought that the wider 450 00:21:59,890 --> 00:22:01,970 Speaker 2: viewing public would think of it as something they'd seen 451 00:22:01,970 --> 00:22:02,930 Speaker 2: a hundred times before. 452 00:22:03,370 --> 00:22:06,370 Speaker 1: So he was betting for Israel and he was betting 453 00:22:06,410 --> 00:22:09,690 Speaker 1: against Cypress winning, just as he'd bet against Portugal the 454 00:22:09,690 --> 00:22:12,170 Speaker 1: previous year. And just like the previous year. When the 455 00:22:12,170 --> 00:22:15,650 Speaker 1: semi final was broadcast, the data from YouTube and Spotify 456 00:22:15,850 --> 00:22:19,370 Speaker 1: showed that people actually did like the song. Yeah, he'd 457 00:22:19,370 --> 00:22:21,610 Speaker 1: got it wrong, But as I said, that happens. The 458 00:22:21,650 --> 00:22:24,490 Speaker 1: trick is to notice your mistake early and act quickly 459 00:22:24,570 --> 00:22:26,930 Speaker 1: to cut your losses. So what went wrong this time? 460 00:22:26,970 --> 00:22:29,290 Speaker 1: Did he stubbornly ignore the data or did did Daniel 461 00:22:29,330 --> 00:22:30,650 Speaker 1: fail to notice what was happening? 462 00:22:30,850 --> 00:22:33,170 Speaker 2: Not at all. No, he saw straight away that there 463 00:22:33,210 --> 00:22:36,530 Speaker 2: was this huge positive reaction to Cyprus, and he immediately 464 00:22:36,570 --> 00:22:39,730 Speaker 2: tried to cut his losses. What happened this time is 465 00:22:39,730 --> 00:22:43,290 Speaker 2: that the markets moved too quickly for him. Fuego really 466 00:22:43,330 --> 00:22:44,050 Speaker 2: caught fire. 467 00:22:44,250 --> 00:22:46,690 Speaker 1: Very nice. So this time it was like he'd bought 468 00:22:46,690 --> 00:22:48,930 Speaker 1: a share, he'd seen the price go down, he'd tried 469 00:22:48,970 --> 00:22:51,530 Speaker 1: to sell the share before he could find a buyer. 470 00:22:51,770 --> 00:22:53,290 Speaker 1: The share price had basically gone to nothing. 471 00:22:53,570 --> 00:22:57,130 Speaker 2: Yeah, so he was left with bigger liabilities on Cyprus 472 00:22:57,170 --> 00:23:00,730 Speaker 2: than he'd ever had on any song before. And if 473 00:23:00,730 --> 00:23:02,890 Speaker 2: you'll forgive me another swear word, let me read you 474 00:23:02,890 --> 00:23:05,090 Speaker 2: the message that he wrote me after that semi final 475 00:23:05,290 --> 00:23:10,570 Speaker 2: It read I'm really rather fucked Andrew probably. So. You see, 476 00:23:10,610 --> 00:23:12,450 Speaker 2: when he'd had these big bets in the past, he'd 477 00:23:12,450 --> 00:23:14,490 Speaker 2: been ninety nine percent sure that they were going to 478 00:23:14,490 --> 00:23:16,970 Speaker 2: come in and this time it was looking really rather 479 00:23:17,130 --> 00:23:19,970 Speaker 2: likely that Cyprus was going to win. And when he'd 480 00:23:19,970 --> 00:23:21,970 Speaker 2: had these big bets in the past, they'd always been 481 00:23:22,050 --> 00:23:24,450 Speaker 2: small enough that he could survive them. This loss would 482 00:23:24,490 --> 00:23:26,290 Speaker 2: be bigger, This loss would be life changing. 483 00:23:26,530 --> 00:23:28,730 Speaker 1: He'd borrow the money against his apartment again. 484 00:23:28,690 --> 00:23:31,970 Speaker 2: That's right, And if Cyprus won Eurovision, he was going 485 00:23:31,970 --> 00:23:34,210 Speaker 2: to have to sell his apartment. He had a few 486 00:23:34,290 --> 00:23:36,450 Speaker 2: days between the semi final and the final to try 487 00:23:36,490 --> 00:23:38,570 Speaker 2: to get used to this idea, but he also still 488 00:23:38,570 --> 00:23:41,250 Speaker 2: had hope that Israel was going to come to his rescue, 489 00:23:41,290 --> 00:23:43,890 Speaker 2: because he'd been convinced all along that the SaaS and 490 00:23:43,890 --> 00:23:45,970 Speaker 2: the chicken noises would be just the kind of thing 491 00:23:46,010 --> 00:23:47,970 Speaker 2: the Saturday night audience would go for. Well. 492 00:23:48,170 --> 00:23:51,570 Speaker 1: From Bellarus, I'm guessing they'd drag out the votes in 493 00:23:51,610 --> 00:23:54,810 Speaker 1: the Eurovision Final, it takes forever to announce the results. 494 00:23:54,850 --> 00:23:57,610 Speaker 2: They go around every single country to ask which of 495 00:23:57,650 --> 00:24:00,850 Speaker 2: the songs that country's expert jury has given their points to. 496 00:24:00,890 --> 00:24:05,570 Speaker 1: The funds go to Cyprus, Cyprus, And at the end of. 497 00:24:05,570 --> 00:24:08,930 Speaker 2: All this, Israel was ahead of Cyprus, but only just. 498 00:24:09,570 --> 00:24:12,450 Speaker 2: But Eurovision voting isn't isn't just long, It's also really complicated. 499 00:24:12,450 --> 00:24:14,610 Speaker 2: At this point, they're still only halfway through. They have 500 00:24:14,690 --> 00:24:17,130 Speaker 2: to add in all of the combined votes from the 501 00:24:17,210 --> 00:24:19,850 Speaker 2: viewers across the continent, and the way they do this 502 00:24:20,130 --> 00:24:22,890 Speaker 2: is in reverse order. So it gets to the point 503 00:24:22,930 --> 00:24:26,210 Speaker 2: where they have only two countries left to announce the 504 00:24:26,210 --> 00:24:30,890 Speaker 2: televote score for Israel and Cyprus, and Daniel is desperately 505 00:24:30,930 --> 00:24:33,170 Speaker 2: hoping that Cyprus is going to be second in this 506 00:24:33,210 --> 00:24:33,610 Speaker 2: one too. 507 00:24:33,650 --> 00:24:41,810 Speaker 3: The country that got the second highest vote with two 508 00:24:41,890 --> 00:24:55,770 Speaker 3: hundred and fifty three points is Cyprus, which means that 509 00:24:56,370 --> 00:24:58,690 Speaker 3: Israel is the winner. 510 00:24:59,050 --> 00:25:01,090 Speaker 1: Israel one. Daniel got away with it. 511 00:25:01,410 --> 00:25:04,610 Speaker 2: I was watching and my heart was pounding. I can't 512 00:25:04,650 --> 00:25:07,810 Speaker 2: imagine how Daniel felt. I sent him a message, when 513 00:25:07,810 --> 00:25:09,530 Speaker 2: you get a moment, let me know your st alive. 514 00:25:09,970 --> 00:25:10,770 Speaker 1: What did he reply? 515 00:25:11,170 --> 00:25:13,930 Speaker 2: Always in the bag? You can imagine the relief He 516 00:25:14,130 --> 00:25:16,130 Speaker 2: kept his apartment, and not only that he'd won a 517 00:25:16,130 --> 00:25:18,370 Speaker 2: lot of money on Israel. It seemed like he was 518 00:25:18,410 --> 00:25:20,450 Speaker 2: set for to go off on his travels and come 519 00:25:20,490 --> 00:25:22,610 Speaker 2: back next year and do it all again. Yes. 520 00:25:23,850 --> 00:25:25,810 Speaker 1: Well, now it's time for us to come clean with listeners, 521 00:25:25,850 --> 00:25:29,330 Speaker 1: because we've been telling Daniel's story as if it was 522 00:25:29,370 --> 00:25:32,050 Speaker 1: all leading up to that big Eurovision moment. But in fact, 523 00:25:32,170 --> 00:25:34,250 Speaker 1: we are going somewhere else with this, aren't we. 524 00:25:34,290 --> 00:25:37,290 Speaker 2: Andrew, I'm afraid we are, because when I sent Daniel 525 00:25:37,330 --> 00:25:40,530 Speaker 2: that joking message, let me know you're still alive, it 526 00:25:40,570 --> 00:25:42,330 Speaker 2: never occurred to me. It would never have occurred to 527 00:25:42,410 --> 00:25:46,050 Speaker 2: him that at this point Daniel still being alive really 528 00:25:46,170 --> 00:25:48,770 Speaker 2: wasn't something we should have been taking for Granted, he 529 00:25:48,890 --> 00:25:50,610 Speaker 2: had only seven months to live. 530 00:25:50,530 --> 00:25:52,730 Speaker 1: But since the stroke his health had been fine. 531 00:25:52,850 --> 00:25:55,170 Speaker 2: It had a bit later in the year, just before 532 00:25:55,170 --> 00:25:57,890 Speaker 2: one of his overseas adventures, he sent me a message 533 00:25:57,930 --> 00:26:00,690 Speaker 2: about a strange pain he'd been having in one leg. 534 00:26:00,970 --> 00:26:02,850 Speaker 2: He wasn't sure how much to be worried about it. 535 00:26:03,210 --> 00:26:06,290 Speaker 2: I said, pain in one leg? Is that sciatica? He 536 00:26:06,330 --> 00:26:09,090 Speaker 2: looked it up and said, Yeah, that's exactly what it is. 537 00:26:09,170 --> 00:26:13,450 Speaker 2: It fits the symptoms perfectly. Sciatica. That's when a slip 538 00:26:13,490 --> 00:26:17,210 Speaker 2: disc puts pressure on the sciatic nerve. Yeah, it's normally painful, 539 00:26:17,250 --> 00:26:19,610 Speaker 2: but not too serious. It tends to get better on 540 00:26:19,610 --> 00:26:21,290 Speaker 2: its own in a few weeks. And that was a 541 00:26:21,290 --> 00:26:23,650 Speaker 2: relief because it meant that Daniel didn't need to cancel 542 00:26:23,730 --> 00:26:26,650 Speaker 2: his travel plans a bit later, he started to get 543 00:26:26,650 --> 00:26:30,090 Speaker 2: some bad headaches that seemed like a separate problem, and 544 00:26:30,130 --> 00:26:33,490 Speaker 2: then he died at the age of forty three. What 545 00:26:33,650 --> 00:26:37,610 Speaker 2: happened I don't know exactly, and norder his family, who've 546 00:26:37,610 --> 00:26:40,210 Speaker 2: given me permission to tell his story. He was on 547 00:26:40,290 --> 00:26:43,570 Speaker 2: vacation in Fort Lauderdale. Nobody was with him at the time, 548 00:26:43,650 --> 00:26:46,170 Speaker 2: but he's there on the hotel security camera coming back 549 00:26:46,210 --> 00:26:49,570 Speaker 2: from a swim, looking fit and healthy. And then he 550 00:26:49,690 --> 00:26:52,730 Speaker 2: died in his hotel room of what well. The post 551 00:26:52,730 --> 00:26:56,730 Speaker 2: mortem found that it was cancer. His body was riddled 552 00:26:56,730 --> 00:26:59,650 Speaker 2: with tumors when he'd been treated for skin cancer a 553 00:26:59,690 --> 00:27:02,410 Speaker 2: few years earlier. The doctors removed the mole, and they 554 00:27:02,570 --> 00:27:05,610 Speaker 2: thought they'd caught it in time. They hadn't. It had 555 00:27:05,650 --> 00:27:08,690 Speaker 2: since been spreading inside his body, and he hadn't been 556 00:27:08,690 --> 00:27:09,090 Speaker 2: aware of it. 557 00:27:09,330 --> 00:27:12,370 Speaker 1: But people don't just drop dead from cancer, do they. 558 00:27:12,410 --> 00:27:14,610 Speaker 1: I mean, everyone I've known who's died of cancer, there's 559 00:27:14,610 --> 00:27:16,490 Speaker 1: been some warning, even if it's only a few days. 560 00:27:16,570 --> 00:27:19,090 Speaker 2: Well. I also hadn't realized that this could happen, so 561 00:27:19,330 --> 00:27:21,770 Speaker 2: I started to google. One way it can happen is 562 00:27:21,810 --> 00:27:24,370 Speaker 2: if you have a brain tumor that bleeds. The post 563 00:27:24,370 --> 00:27:26,650 Speaker 2: mortem fan that that's what had happened to Daniel. 564 00:27:26,730 --> 00:27:29,330 Speaker 1: But a brain tumor would well with hindsight, it would 565 00:27:29,330 --> 00:27:31,570 Speaker 1: explain his stroke, Yes it would. 566 00:27:31,890 --> 00:27:35,010 Speaker 2: And remember that ironically he'd had the stroke while standing 567 00:27:35,050 --> 00:27:37,650 Speaker 2: in front of the dermatologist, and the dermatologist had just 568 00:27:37,770 --> 00:27:39,730 Speaker 2: checked him over and said, there's no sign of the 569 00:27:39,730 --> 00:27:43,530 Speaker 2: skin cancer coming back. The tumor would explain his headaches too, 570 00:27:43,810 --> 00:27:46,330 Speaker 2: of course, and I kept googling. I read up more 571 00:27:46,370 --> 00:27:50,090 Speaker 2: on sciatica. It's usually a slip disc that puts pressure 572 00:27:50,090 --> 00:27:53,690 Speaker 2: on the sciatic nerve. Sometimes, in very rare cases, it's 573 00:27:53,730 --> 00:27:57,570 Speaker 2: a tumor. With hindsight, the dots were there to be joined. 574 00:27:57,970 --> 00:28:00,930 Speaker 2: And as I sat there googling and joining the dots, 575 00:28:01,290 --> 00:28:04,250 Speaker 2: I found myself thinking about Philip Tadlock and his foxes 576 00:28:04,290 --> 00:28:05,010 Speaker 2: and edgehogs. 577 00:28:05,370 --> 00:28:08,290 Speaker 1: The hedgehog wants to find the one key insight that 578 00:28:08,370 --> 00:28:12,650 Speaker 1: explains every and usually there isn't one, but sometimes there is, 579 00:28:12,930 --> 00:28:17,730 Speaker 1: including Daniel's cancer, which explained all his mysterious symptoms. So Andrew, 580 00:28:17,730 --> 00:28:20,810 Speaker 1: do you feel you could have You should have joined 581 00:28:20,850 --> 00:28:21,490 Speaker 1: the dot sooner. 582 00:28:21,650 --> 00:28:24,770 Speaker 2: It's hard not to wonder, isn't it. But I think 583 00:28:24,810 --> 00:28:27,450 Speaker 2: that by the time there were enough dots to be joined. 584 00:28:27,610 --> 00:28:30,210 Speaker 2: It would have been too late because the prognosis for 585 00:28:30,330 --> 00:28:34,810 Speaker 2: metastatic melanoma generally isn't great. Daniel's memorial service, I think 586 00:28:34,850 --> 00:28:37,490 Speaker 2: we were all quite happy that he hadn't known, because 587 00:28:37,530 --> 00:28:39,810 Speaker 2: it wouldn't have saved his life. He might have eked 588 00:28:39,810 --> 00:28:42,210 Speaker 2: out a few more months in hospital, but because he 589 00:28:42,250 --> 00:28:44,450 Speaker 2: didn't know, he enjoyed his last few months. He spent 590 00:28:44,490 --> 00:28:46,570 Speaker 2: them hanging out with his friends and jetting off to 591 00:28:46,610 --> 00:28:47,210 Speaker 2: new places. 592 00:28:47,810 --> 00:28:50,130 Speaker 1: So what's the moral of this story, Because we like 593 00:28:50,170 --> 00:28:54,330 Speaker 1: a moral with our cautionary tales. Maybe it's that sometimes 594 00:28:54,450 --> 00:28:59,210 Speaker 1: hedgehog thinking has its uses. Philip Tetlock defends the hedgehogs too. 595 00:28:59,370 --> 00:29:02,770 Speaker 1: I mean to be sure, the foxes make better forecasters. 596 00:29:02,770 --> 00:29:04,850 Speaker 1: If you want to weigh up whether chicken noises beat 597 00:29:04,890 --> 00:29:08,170 Speaker 1: Sparkley cat suits on Eurovision, definitely think like a fox. 598 00:29:08,610 --> 00:29:11,570 Speaker 1: But if you're trying to make sense of a puzzling situation, 599 00:29:12,250 --> 00:29:14,530 Speaker 1: it can help to have a hedgehog around. They'll try 600 00:29:14,530 --> 00:29:17,010 Speaker 1: to make one explanation fit all the clues, and they'll 601 00:29:17,010 --> 00:29:19,410 Speaker 1: often be wrong, but in the process they can ask 602 00:29:19,490 --> 00:29:22,650 Speaker 1: deep or original questions, and they can find insights that 603 00:29:22,650 --> 00:29:24,530 Speaker 1: the foxes might not have thought of. 604 00:29:25,130 --> 00:29:29,370 Speaker 2: That's right, and I think that's another moral too. It's 605 00:29:29,450 --> 00:29:33,090 Speaker 2: that Daniel died far too young, but more than anybody 606 00:29:33,170 --> 00:29:36,930 Speaker 2: else I've ever known, he died living exactly the life 607 00:29:37,090 --> 00:29:40,010 Speaker 2: that he wanted to live. That's something for foxes and 608 00:29:40,010 --> 00:29:44,330 Speaker 2: hedgehogs alike to aspire to. Thank you, Andrew, Thank you, Tim, 609 00:29:44,490 --> 00:29:47,770 Speaker 2: and thank you also to Carinn and Martin Gould, Daniel's 610 00:29:47,770 --> 00:29:50,250 Speaker 2: parents for giving me their permission to tell Daniel's story, 611 00:29:50,410 --> 00:29:52,570 Speaker 2: and to Daniel's friend Katie Southern for all of her 612 00:29:52,650 --> 00:29:53,530 Speaker 2: advice and support. 613 00:29:57,130 --> 00:30:01,770 Speaker 1: This Cautionary Tales Eurovision special was written and presented by me, Tim. 614 00:30:01,570 --> 00:30:03,690 Speaker 2: Harford and me Andrew Wright. 615 00:30:09,650 --> 00:30:13,490 Speaker 1: Cautionary Tales is produced by Alice Fines with support from 616 00:30:13,690 --> 00:30:17,570 Speaker 1: Edith Russlo. The sound design and original music is the 617 00:30:17,570 --> 00:30:21,730 Speaker 1: work of Pascal Wise. The show wouldn't have been possible 618 00:30:21,850 --> 00:30:25,850 Speaker 1: without the work of Jacob Weisberg, Ryan Dilly, Julia Barton, 619 00:30:26,170 --> 00:30:31,250 Speaker 1: Greta Cohne, Little Millard, John Schnaz, Carli mcgliori, Eric Sandler, 620 00:30:31,610 --> 00:30:36,930 Speaker 1: Maggie Taylor, Nicole Morano, and Morgan Ratner. Cautionary Tales is 621 00:30:36,930 --> 00:30:40,330 Speaker 1: a production of Pushkin Industries. If you like the show. 622 00:30:40,730 --> 00:30:44,010 Speaker 1: Please remember to share, rate, and review. It helps us 623 00:30:44,050 --> 00:30:47,370 Speaker 1: for mysterious reasons, and if you want to hear the show, 624 00:30:47,570 --> 00:30:51,010 Speaker 1: add free sign up for Pushkin Plus on the show 625 00:30:51,050 --> 00:30:55,770 Speaker 1: page and Apple Podcasts, or at pushkin dot fm, Slash 626 00:30:56,010 --> 00:31:09,730 Speaker 1: plus s