1 00:00:02,400 --> 00:00:13,720 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. Single best idea on 2 00:00:13,760 --> 00:00:16,560 Speaker 1: a Friday, after an incredible week, I can't say enough 3 00:00:16,560 --> 00:00:20,960 Speaker 1: to you worldwide and across the nation. We complained about 4 00:00:20,960 --> 00:00:25,120 Speaker 1: the traffic, but the excitement of un week here in 5 00:00:25,160 --> 00:00:28,960 Speaker 1: New York City is palpable. It's getting home. Girl had 6 00:00:29,000 --> 00:00:32,280 Speaker 1: it much worse than I did. I talked to Chart Banner, 7 00:00:32,520 --> 00:00:35,160 Speaker 1: of course, who does all our banners and charts. Chart 8 00:00:35,200 --> 00:00:37,160 Speaker 1: Banner took two and a half hours to get home. 9 00:00:37,400 --> 00:00:39,440 Speaker 1: I think it was last night. It was just brutal, 10 00:00:39,840 --> 00:00:41,920 Speaker 1: and so we're all struggling with this. But the fact 11 00:00:42,000 --> 00:00:44,520 Speaker 1: is it was an exciting week, and of course led 12 00:00:44,560 --> 00:00:47,680 Speaker 1: by the news slow the stunning shock out of China 13 00:00:47,720 --> 00:00:50,400 Speaker 1: that we saw. The best thing for us was the 14 00:00:50,400 --> 00:00:53,320 Speaker 1: hallmark of what we do with Bloomberg Surveillance and what 15 00:00:53,400 --> 00:00:55,200 Speaker 1: we try to bring to you in six minutes. And 16 00:00:55,240 --> 00:00:59,400 Speaker 1: single best idea, which is the conversation with guests. To 17 00:00:59,440 --> 00:01:03,200 Speaker 1: have Michael Robison with us on Wednesday and today Nasen 18 00:01:03,360 --> 00:01:07,120 Speaker 1: Tleb was a really special treat both of them. In 19 00:01:07,200 --> 00:01:13,200 Speaker 1: extended conversation. Nasing Teleb of the Black Swan on your humility. 20 00:01:13,920 --> 00:01:17,720 Speaker 2: The point is you don't need humility. Humility actually is 21 00:01:18,120 --> 00:01:21,200 Speaker 2: not necessary. I don't why people are arrogant. There's just 22 00:01:21,240 --> 00:01:25,880 Speaker 2: got to be paranoid about the right things, namely how 23 00:01:26,000 --> 00:01:28,959 Speaker 2: much an our error costs you when it happens that 24 00:01:29,080 --> 00:01:33,120 Speaker 2: ruined problem, and and and and basically Scott's book is 25 00:01:33,120 --> 00:01:36,760 Speaker 2: about ruined problems. Let's see. So you could be arrogant 26 00:01:36,800 --> 00:01:38,840 Speaker 2: about everything, all right, You can be wrong all the time, 27 00:01:39,000 --> 00:01:43,800 Speaker 2: doesn't matter. You gotta avoid you gotta avoid ruin the 28 00:01:43,880 --> 00:01:47,480 Speaker 2: big things. You've got to be right about the big 29 00:01:47,600 --> 00:01:51,720 Speaker 2: sources of risk and and and the rest take care 30 00:01:51,720 --> 00:01:52,240 Speaker 2: of itself. 31 00:01:52,400 --> 00:01:55,520 Speaker 1: Nasing t Leab there of course, and supporter Scott Patterson's 32 00:01:55,600 --> 00:01:58,520 Speaker 1: Kings of Chaos. It's a new book. Well, much more 33 00:01:58,520 --> 00:02:02,080 Speaker 1: on it. The book was some real for Global at 34 00:02:02,120 --> 00:02:05,960 Speaker 1: Wall Street. Another great book on diversification, as Peter Lynch 35 00:02:05,960 --> 00:02:09,560 Speaker 1: should call it, on diversification, on all the traps of 36 00:02:09,639 --> 00:02:14,760 Speaker 1: asset allocation is beyond diversification. Sebastian Page a t ro 37 00:02:14,919 --> 00:02:19,320 Speaker 1: Price Holding Court on that he joined us today. Sebastian 38 00:02:19,440 --> 00:02:21,240 Speaker 1: Page on Nasing Taleb. 39 00:02:21,919 --> 00:02:24,800 Speaker 3: I'm really excited that you have Taleb coming in. I 40 00:02:24,880 --> 00:02:28,120 Speaker 3: talk about his research in the book, his points of views. 41 00:02:28,560 --> 00:02:31,480 Speaker 3: This idea of the number of particles in the universe 42 00:02:31,560 --> 00:02:35,600 Speaker 3: is that TALEV doesn't like the normal distribution, the so 43 00:02:35,760 --> 00:02:39,959 Speaker 3: called standard statistical models. And if you look at probabilities 44 00:02:40,040 --> 00:02:43,040 Speaker 3: of say thirty percent loss on the stock market, or 45 00:02:43,040 --> 00:02:46,440 Speaker 3: what we just had with Japan, you know, twenty percent 46 00:02:46,480 --> 00:02:48,800 Speaker 3: in a couple of days. If you look at the 47 00:02:48,840 --> 00:02:53,400 Speaker 3: statistical standard probabilities of those events, it should basically almost 48 00:02:53,520 --> 00:02:57,880 Speaker 3: never happen, and it's like once in a gazillion years, 49 00:02:57,960 --> 00:03:00,560 Speaker 3: once in the number of particles in the universe number 50 00:03:00,560 --> 00:03:04,280 Speaker 3: of years. But in reality those events are more frequent 51 00:03:04,360 --> 00:03:07,560 Speaker 3: than we think. So maybe this stuff Dell's with TALEB 52 00:03:07,639 --> 00:03:09,880 Speaker 3: coming in. I think it's hugely important. 53 00:03:10,200 --> 00:03:13,400 Speaker 1: Sebastian page, They're getting me all wound up with tro 54 00:03:13,520 --> 00:03:15,360 Speaker 1: price practon. Do we need to do some math here? 55 00:03:15,400 --> 00:03:18,840 Speaker 1: I think we need to do some probability distribution. Okay, 56 00:03:18,880 --> 00:03:23,080 Speaker 1: Sebastian's talking about a Gaussian distribution. That is the Bell 57 00:03:23,240 --> 00:03:27,600 Speaker 1: curve like of your high school class. Okay, Short people 58 00:03:27,639 --> 00:03:30,200 Speaker 1: off here, tall people way over there, in the middle 59 00:03:30,280 --> 00:03:33,920 Speaker 1: of some kind of middle tendency. And the heart of 60 00:03:34,000 --> 00:03:37,440 Speaker 1: the Telebian theory with many other people on Wall Street 61 00:03:37,920 --> 00:03:41,600 Speaker 1: is it's a basically an Antonian fiction is a Gaussian 62 00:03:41,760 --> 00:03:44,040 Speaker 1: Gauss was a guy in the nineteenth century. It's a 63 00:03:44,080 --> 00:03:48,560 Speaker 1: Gaussian fiction. So what matters? And you heard Sebastian Page 64 00:03:48,600 --> 00:03:52,360 Speaker 1: there talk about the one in a gazillion chance, the 65 00:03:52,400 --> 00:03:55,000 Speaker 1: mathematics of this, and all of you watch The Little 66 00:03:55,000 --> 00:03:58,960 Speaker 1: Mermaids so you'll get this. The mathematics of this is 67 00:03:59,000 --> 00:04:03,160 Speaker 1: when they paint ten one thousand BMW's how many do 68 00:04:03,240 --> 00:04:08,160 Speaker 1: they get wrong? One? Two three? It's the mathematics of 69 00:04:08,360 --> 00:04:12,280 Speaker 1: rare events. And the gentleman from France that came up 70 00:04:12,320 --> 00:04:15,480 Speaker 1: with this was pois Soon. When I lecture on this, 71 00:04:15,560 --> 00:04:18,480 Speaker 1: I go, you know, you remember Little mermaid pass passel 72 00:04:18,520 --> 00:04:22,320 Speaker 1: ou la la ah. And the answer is the world 73 00:04:22,400 --> 00:04:26,600 Speaker 1: we live in an investment in trying to not lose 74 00:04:27,120 --> 00:04:31,960 Speaker 1: money is a Poissant world, not a Gaussian world. You're 75 00:04:31,960 --> 00:04:34,160 Speaker 1: still with me, Brockton or I just did you know? 76 00:04:34,560 --> 00:04:37,919 Speaker 1: We were just gone? Okay, let's move on. One of 77 00:04:37,920 --> 00:04:40,120 Speaker 1: the great traditions we have here a Bloomberg Savannah and 78 00:04:40,120 --> 00:04:41,719 Speaker 1: say came to me with this years ago. I said, 79 00:04:41,720 --> 00:04:44,800 Speaker 1: you gotta be kidding me. We're not doing this, And 80 00:04:45,040 --> 00:04:49,080 Speaker 1: boy was I wrong. What a joy to speak in 81 00:04:49,120 --> 00:04:53,239 Speaker 1: the autumn before Harvard Yale with a Harvard football coach. 82 00:04:53,279 --> 00:04:56,080 Speaker 1: We do this on ninety two nine FM in Boston. 83 00:04:56,120 --> 00:05:00,080 Speaker 1: I think it's Brown Harvard tomorrow twelve noon. Great. I 84 00:05:00,120 --> 00:05:05,080 Speaker 1: got a newly minted coach, Andrew Orrich. He's there and 85 00:05:05,120 --> 00:05:08,240 Speaker 1: he's like doing a serious conversation because this press people said, 86 00:05:08,279 --> 00:05:10,200 Speaker 1: you know you gotta ingur is doing? You know how 87 00:05:10,240 --> 00:05:12,719 Speaker 1: about this linebacker and what do you do against Brown? 88 00:05:13,240 --> 00:05:15,520 Speaker 1: I just wanted to ask Andrew Orich, he was with 89 00:05:15,600 --> 00:05:18,520 Speaker 1: Tampa Bay years ago coaching. I just wanted to ask 90 00:05:18,880 --> 00:05:22,920 Speaker 1: Andrew Orrich of Harvard football. Can you explain the new 91 00:05:23,120 --> 00:05:24,320 Speaker 1: NFL kickoff? 92 00:05:25,360 --> 00:05:28,159 Speaker 4: I really can't because I haven't like dove into other 93 00:05:28,240 --> 00:05:31,440 Speaker 4: than when I saw it on in some games. To me, 94 00:05:31,960 --> 00:05:35,440 Speaker 4: the way I understand it is you can kick it 95 00:05:35,440 --> 00:05:37,719 Speaker 4: into the end zone for a touchback, but there's a 96 00:05:37,760 --> 00:05:40,000 Speaker 4: penalty as far as what yard line they start at. 97 00:05:40,400 --> 00:05:43,480 Speaker 4: But the NFL is trying to create more returns, I believe, 98 00:05:43,680 --> 00:05:45,760 Speaker 4: and you have to drop it in the zone and 99 00:05:45,800 --> 00:05:47,680 Speaker 4: if the ball gets kicked in a zone, then the 100 00:05:47,680 --> 00:05:50,599 Speaker 4: return happens. And essentially what they're trying to do is 101 00:05:51,160 --> 00:05:53,560 Speaker 4: shrink down the distance between the return team and the 102 00:05:53,600 --> 00:05:57,680 Speaker 4: kickoff team, so the high speed collisions that ultimately concussions 103 00:05:57,720 --> 00:05:58,880 Speaker 4: are eliminated. 104 00:05:59,279 --> 00:06:02,880 Speaker 1: I wait an explanation Andrew Orris with a quality see 105 00:06:02,880 --> 00:06:07,000 Speaker 1: there and explaining the NFL kickoff. We've had a fabulous 106 00:06:07,000 --> 00:06:11,840 Speaker 1: week here across all of our distribution on YouTube, Subscribe 107 00:06:11,839 --> 00:06:14,960 Speaker 1: to Bloomberg Podcast. That's the best way you can help Brockton. 108 00:06:15,440 --> 00:06:17,200 Speaker 1: You know, you know, he's just this is the way 109 00:06:17,240 --> 00:06:20,559 Speaker 1: we get it done across the nation on Android Auto, 110 00:06:20,600 --> 00:06:24,600 Speaker 1: on Apple car Play, with international distribution there as well, 111 00:06:24,800 --> 00:06:27,560 Speaker 1: and of course a serious XM on the Corridor ninety 112 00:06:27,640 --> 00:06:33,040 Speaker 1: nine one FM in Washington, our flagship uncongested Midtown next 113 00:06:33,040 --> 00:06:36,839 Speaker 1: week Bloomberg eleven three am and on ninety two nine 114 00:06:37,120 --> 00:06:41,680 Speaker 1: FM in Boston with Harvard Football this weekend on YouTube 115 00:06:41,680 --> 00:06:47,520 Speaker 1: podcast on Apple Podcasts, single best Idea