1 00:00:08,880 --> 00:00:22,320 Speaker 1: Stock investors regularly consume all sorts of financial news opinion commentary, 2 00:00:22,920 --> 00:00:26,800 Speaker 1: but they hardly ever consider who's driving those narratives and 3 00:00:26,840 --> 00:00:31,560 Speaker 1: whether they're helpful to their portfolios. I'm Barry Ridheltson on 4 00:00:31,600 --> 00:00:35,040 Speaker 1: today's edition of At the Money. We're going to discuss 5 00:00:35,400 --> 00:00:38,960 Speaker 1: the narrative machine to help us unpack all of this 6 00:00:39,080 --> 00:00:42,040 Speaker 1: and what it means for your portfolio. Let's bring in 7 00:00:42,200 --> 00:00:47,840 Speaker 1: Ben Hunt of Percient. Ben's firm uses linguistic pattern recognition 8 00:00:48,400 --> 00:00:54,240 Speaker 1: and media network mapping to identify narrative clusters that might 9 00:00:54,320 --> 00:00:59,760 Speaker 1: create investment opportunities. So, Ben, you've written about narrative constructions 10 00:00:59,800 --> 00:01:05,080 Speaker 1: and everything from politics, to markets, even public health. How 11 00:01:05,160 --> 00:01:09,240 Speaker 1: are narratives being weaponized in everyday practice? 12 00:01:09,560 --> 00:01:15,320 Speaker 2: Narratives have always been weaponized, meaning good politicians are effective. 13 00:01:15,400 --> 00:01:21,200 Speaker 2: Politicians have always understood the power of a good story 14 00:01:21,400 --> 00:01:25,000 Speaker 2: to answer the question why why should you vote for me? 15 00:01:25,280 --> 00:01:28,640 Speaker 2: Why should you favor this policy? That's what good politicians 16 00:01:28,720 --> 00:01:33,600 Speaker 2: are great at. They're great at presenting their vision of 17 00:01:33,640 --> 00:01:39,000 Speaker 2: what reality is. What's changed today is that everyone is 18 00:01:39,040 --> 00:01:42,759 Speaker 2: in on that act. Everyone is now trying to tell 19 00:01:43,240 --> 00:01:48,400 Speaker 2: a story about how to think about their company's earnings. 20 00:01:49,240 --> 00:01:54,760 Speaker 2: This central banks monetary policies. You really saw this change 21 00:01:55,200 --> 00:01:59,760 Speaker 2: with the Great Financial Crisis and the FED starting to 22 00:01:59,840 --> 00:02:04,040 Speaker 2: use use awkward guidance, starting to use their words to 23 00:02:04,640 --> 00:02:09,080 Speaker 2: impact markets. That's a great example of narrative construction. And 24 00:02:09,120 --> 00:02:13,240 Speaker 2: then you saw so many CEOs follow suit to tell 25 00:02:13,280 --> 00:02:16,000 Speaker 2: a good story to get a multiple on your stock 26 00:02:16,360 --> 00:02:21,280 Speaker 2: rather than tell something about operation leverage or anything like that. 27 00:02:21,560 --> 00:02:24,240 Speaker 2: It's all about telling a story. Today we can call 28 00:02:24,280 --> 00:02:27,680 Speaker 2: it weaponization, but to me, it's just a natural evolution 29 00:02:27,919 --> 00:02:29,600 Speaker 2: of how storytelling goes. 30 00:02:30,000 --> 00:02:33,760 Speaker 1: So if everybody is a storyteller, does that just create 31 00:02:34,240 --> 00:02:37,840 Speaker 1: a sea of noise? How can we identify which of 32 00:02:37,880 --> 00:02:41,320 Speaker 1: those stories are worth paying attention to and what's just 33 00:02:41,480 --> 00:02:45,080 Speaker 1: background noise and normal media discourse. 34 00:02:45,440 --> 00:02:49,119 Speaker 2: Well, I think you can tell the difference between storytelling 35 00:02:49,240 --> 00:02:54,480 Speaker 2: that is describing what happened, that just filling the airtime, 36 00:02:54,560 --> 00:02:58,240 Speaker 2: if you will, of giving you a reason why stocks 37 00:02:58,280 --> 00:03:01,600 Speaker 2: went up or financials went down. Today, I think what 38 00:03:01,680 --> 00:03:04,800 Speaker 2: you want to look at, though carefully, is the effort 39 00:03:04,919 --> 00:03:10,560 Speaker 2: that's made by Federal Reserve my CEOs hundits who are 40 00:03:10,720 --> 00:03:14,400 Speaker 2: trying to be rescriptive. They're trying to tell you a 41 00:03:14,440 --> 00:03:18,880 Speaker 2: story about what should happen in the future. It's an 42 00:03:18,880 --> 00:03:22,880 Speaker 2: indication of the effort that that company, that central bank, 43 00:03:23,480 --> 00:03:28,399 Speaker 2: that institution of that investor who's talking their book. They're 44 00:03:28,440 --> 00:03:30,720 Speaker 2: trying to give you an indicator. They're trying to convince 45 00:03:30,840 --> 00:03:33,400 Speaker 2: you of a certain course of action in the future, 46 00:03:33,680 --> 00:03:36,440 Speaker 2: and you should pay attention to it because if it's 47 00:03:36,480 --> 00:03:40,040 Speaker 2: a well told story and it gets traction, it works. 48 00:03:40,680 --> 00:03:44,600 Speaker 1: So I've heard you use the phrase missionaries to describe 49 00:03:45,080 --> 00:03:48,840 Speaker 1: the small set of actors that shape narratives. Everybody else 50 00:03:49,320 --> 00:03:53,200 Speaker 1: consumes who are these missionaries and where do they work, 51 00:03:53,240 --> 00:03:54,160 Speaker 1: what do they do well. 52 00:03:54,360 --> 00:03:57,920 Speaker 2: I use the word missionary because there's a famous thought 53 00:03:58,040 --> 00:04:03,080 Speaker 2: experiment around call the common knowledge game, and around how 54 00:04:03,720 --> 00:04:07,440 Speaker 2: narratives and stories spread through a crowd. And it really 55 00:04:07,480 --> 00:04:11,040 Speaker 2: goes back to old fashioned missionaries who go to some 56 00:04:11,920 --> 00:04:15,360 Speaker 2: other countries, some foreign country and stand up and start 57 00:04:15,520 --> 00:04:19,080 Speaker 2: preaching the word. That's what a missionary is, and that's 58 00:04:19,200 --> 00:04:23,000 Speaker 2: that's what spreads the word of a story. A missionary 59 00:04:23,040 --> 00:04:25,800 Speaker 2: is something who someone who people are paying attention to. 60 00:04:26,400 --> 00:04:29,520 Speaker 1: So that's anyone anyone from the chief economist of Goullman 61 00:04:29,600 --> 00:04:34,040 Speaker 1: Sachs or the Federal Reserve chair to roaring Kitty that 62 00:04:34,040 --> 00:04:36,320 Speaker 1: that defines missionaries. 63 00:04:35,880 --> 00:04:37,839 Speaker 2: That defines missionary. You got it. 64 00:04:38,240 --> 00:04:43,040 Speaker 1: Huh. So who are the most influential missionaries in today's 65 00:04:43,040 --> 00:04:47,520 Speaker 1: markets and how has that list changed over time? I 66 00:04:47,640 --> 00:04:51,880 Speaker 1: mentioned Roaring Kitty, I kind of you know, people talk 67 00:04:51,920 --> 00:04:54,960 Speaker 1: about Reddit like it's new. I kind of remember the 68 00:04:55,040 --> 00:04:59,480 Speaker 1: Yahoo message boards in the nineteen nineties. They move stocks, 69 00:04:59,640 --> 00:05:02,760 Speaker 1: even though was a different era and so long ago. 70 00:05:02,839 --> 00:05:06,320 Speaker 2: They absolutely moved stocks. And it's the same principle today. 71 00:05:06,480 --> 00:05:10,560 Speaker 2: So I would tell you the most impactful missionary since 72 00:05:10,600 --> 00:05:12,240 Speaker 2: I've really been looking at this, you know, over the 73 00:05:12,360 --> 00:05:16,560 Speaker 2: last sixteen years, is the US FED chair. That's number one, 74 00:05:17,040 --> 00:05:21,240 Speaker 2: Number two, A two B are going to be other 75 00:05:21,600 --> 00:05:26,480 Speaker 2: central bank heads ECB had BJ head, They're they're a 76 00:05:26,600 --> 00:05:31,599 Speaker 2: distant number two. What's interesting to me about our new 77 00:05:31,800 --> 00:05:35,960 Speaker 2: era of i'll call it fiscal dominance, where the role 78 00:05:36,320 --> 00:05:40,839 Speaker 2: of the Federal Reserve has been diminished or subsumed to 79 00:05:40,920 --> 00:05:45,760 Speaker 2: some degree, intentionally so by Treasury, by the White House, 80 00:05:46,400 --> 00:05:51,760 Speaker 2: is that the missionary power of Powell today is a 81 00:05:51,920 --> 00:05:56,760 Speaker 2: fraction of the missionary power of Powell four years ago. 82 00:05:57,040 --> 00:06:01,240 Speaker 1: I'm so glad you said that, because ever since Knes 83 00:06:01,279 --> 00:06:04,920 Speaker 1: we understand the playback. You have a financial crisis or recession, 84 00:06:05,760 --> 00:06:11,520 Speaker 1: the federal government stimulates with fiscal stimulus. That really did 85 00:06:11,560 --> 00:06:16,960 Speaker 1: not happen to any substantial degree following the financial crisis. 86 00:06:17,400 --> 00:06:22,280 Speaker 1: How much did the sort of abdication of fiscal authority 87 00:06:22,360 --> 00:06:28,320 Speaker 1: by Congress allow the Federal Reserve chair person to become 88 00:06:28,760 --> 00:06:30,000 Speaker 1: missionary number one? 89 00:06:30,839 --> 00:06:33,320 Speaker 2: That was an enormous part of it. It was also 90 00:06:33,600 --> 00:06:37,039 Speaker 2: desired by the White House. It was actually desired by 91 00:06:37,080 --> 00:06:37,520 Speaker 2: the White. 92 00:06:37,360 --> 00:06:39,279 Speaker 1: House because the Obama White House. 93 00:06:40,960 --> 00:06:45,359 Speaker 2: Hundred percent because the Federal Reserve has a Again, this 94 00:06:45,480 --> 00:06:49,040 Speaker 2: is the presentation. The presentation is that they are largely 95 00:06:49,080 --> 00:06:54,400 Speaker 2: an apolitical entity. So something coming from the FED, whether 96 00:06:54,440 --> 00:06:57,800 Speaker 2: it's a narrative, whether it's actual policy, doesn't get the 97 00:06:57,839 --> 00:07:03,920 Speaker 2: same sort of immediate, raw partisan pushback the policy from 98 00:07:04,240 --> 00:07:07,720 Speaker 2: the White House they'llbellma White House received. So it was 99 00:07:07,880 --> 00:07:14,600 Speaker 2: entirely desired that the FED take the lead and Burnanki 100 00:07:15,000 --> 00:07:20,000 Speaker 2: yelling now Powell after that, they certainly rose to that challenge. 101 00:07:20,160 --> 00:07:25,000 Speaker 2: What's changed today is that this White House has very 102 00:07:25,040 --> 00:07:29,000 Speaker 2: intentionally tried to bring the FED to heal. So if 103 00:07:29,000 --> 00:07:32,320 Speaker 2: you're looking at who are the dominant missionaries today, I'd 104 00:07:32,320 --> 00:07:37,400 Speaker 2: put Vessant over Powell by a significant margin today. 105 00:07:37,680 --> 00:07:41,640 Speaker 1: So let's roll back to twenty twenty during the first 106 00:07:42,000 --> 00:07:46,480 Speaker 1: Trump presidency and into twenty one during the first year 107 00:07:46,560 --> 00:07:49,520 Speaker 1: or two of the Biden presidency. That seemed to be 108 00:07:49,640 --> 00:07:56,000 Speaker 1: a massive regime change, where if Congress previously had sort 109 00:07:56,000 --> 00:08:01,800 Speaker 1: of abdicated the fiscal stimulus that boomerang with vengeance and 110 00:08:02,520 --> 00:08:06,680 Speaker 1: Cares Act one and two under President then first term 111 00:08:06,720 --> 00:08:10,640 Speaker 1: President Trump was the single largest fiscal stimulus at least 112 00:08:10,640 --> 00:08:13,800 Speaker 1: as a percentage of GDP since World War Two. And 113 00:08:13,840 --> 00:08:16,680 Speaker 1: then Biden comes in and you have CARES Act three 114 00:08:16,720 --> 00:08:20,040 Speaker 1: and the Infrastructure Bill and the Semiconductor Bill. It seemed 115 00:08:20,080 --> 00:08:25,800 Speaker 1: like giant regime change from monetary stimulus to fiscal stimulus. 116 00:08:26,200 --> 00:08:29,800 Speaker 1: Is that simply because we had a once a century 117 00:08:29,880 --> 00:08:33,080 Speaker 1: pandemic and the government was scared out of its mind? 118 00:08:33,320 --> 00:08:37,200 Speaker 1: Or are there other forces driving that shift? Be it 119 00:08:37,360 --> 00:08:38,360 Speaker 1: narrative or otherwise. 120 00:08:38,640 --> 00:08:41,800 Speaker 2: Oh, I think it's it's it's all true, you know, 121 00:08:41,880 --> 00:08:45,480 Speaker 2: that's what that's what uh him away, he said about religions. 122 00:08:45,640 --> 00:08:47,880 Speaker 2: We said, you know what trait? You said, They're all true. 123 00:08:48,400 --> 00:08:52,600 Speaker 2: So these things are always overdetermined, Garry. So what what 124 00:08:52,640 --> 00:08:56,480 Speaker 2: the mix is between you know, response to the plague, 125 00:08:56,920 --> 00:09:00,959 Speaker 2: what was driven by partisan politics, trying to stay in office, 126 00:09:01,040 --> 00:09:05,320 Speaker 2: stimulus for stimulus sake. It's all of a piece. I 127 00:09:05,320 --> 00:09:09,960 Speaker 2: think what's impactful here, though, Barry, is that the Fed's 128 00:09:10,120 --> 00:09:14,640 Speaker 2: job was to avoid inflation, and it was the fiscal 129 00:09:14,720 --> 00:09:20,280 Speaker 2: side that drove the inflation, the helicopter money. But that 130 00:09:20,280 --> 00:09:26,680 Speaker 2: that veneer of impartiality, of a politicalness, I think was 131 00:09:26,800 --> 00:09:32,319 Speaker 2: really damaged during that Biden administration, and so gave the 132 00:09:32,480 --> 00:09:35,680 Speaker 2: opening for Trump to come in and say, they're all 133 00:09:35,720 --> 00:09:39,679 Speaker 2: just political anyway, so I want my political guys to 134 00:09:39,760 --> 00:09:42,680 Speaker 2: call the shots. It's all true, Barry. 135 00:09:42,800 --> 00:09:45,480 Speaker 1: It's kind of fascinating that the first year of the 136 00:09:45,480 --> 00:09:51,160 Speaker 1: Biden administration and the same thing with both this Trump 137 00:09:51,160 --> 00:09:56,680 Speaker 1: administration and the prior Trump administration. Essentially you had pretty 138 00:09:56,720 --> 00:10:01,600 Speaker 1: much single party rule. Might have been an exception because 139 00:10:02,080 --> 00:10:05,560 Speaker 1: it was panic was ruling. You roll back to nine 140 00:10:05,600 --> 00:10:09,360 Speaker 1: with Obama, you had a divided government, The crisis was 141 00:10:09,400 --> 00:10:11,920 Speaker 1: more or less over, and you just didn't see the 142 00:10:11,960 --> 00:10:15,439 Speaker 1: same level of fiscal stimulus that you saw in either 143 00:10:15,559 --> 00:10:21,520 Speaker 1: twenty or twenty one were arguably twenty seventeen as well. 144 00:10:22,520 --> 00:10:28,560 Speaker 1: How much does politics drive partisan politics drive narratives and 145 00:10:28,640 --> 00:10:30,160 Speaker 1: how significant is into the. 146 00:10:30,120 --> 00:10:34,240 Speaker 2: Market answering the question why why should you vote for 147 00:10:34,280 --> 00:10:38,400 Speaker 2: this policy, why should you support that policy? Those are 148 00:10:39,200 --> 00:10:43,960 Speaker 2: the narratives that really drive our whole world in society. 149 00:10:44,280 --> 00:10:47,160 Speaker 2: I would like to say that everything ultimately gets cashed 150 00:10:47,200 --> 00:10:52,320 Speaker 2: out in politics, the market narratives at a very high level, 151 00:10:52,559 --> 00:10:55,959 Speaker 2: at a maybe a low level, at that tectonic plate 152 00:10:56,120 --> 00:11:02,040 Speaker 2: level of fiscal dominant dominance or monetary policy dominance, stimulus 153 00:11:02,600 --> 00:11:06,520 Speaker 2: being you know, the policies that are trying to reverse 154 00:11:06,600 --> 00:11:10,040 Speaker 2: that hard money policies. These are always at their core 155 00:11:10,200 --> 00:11:18,440 Speaker 2: political arguments, political narratives, and they absolutely are I think, 156 00:11:18,559 --> 00:11:22,160 Speaker 2: ultimately responsible for the big shifts we see in markets. 157 00:11:22,320 --> 00:11:26,600 Speaker 1: Let's talk about something you've written about, recursive social loops. 158 00:11:27,280 --> 00:11:31,160 Speaker 1: Explain what that is and is the modern form of 159 00:11:31,760 --> 00:11:36,240 Speaker 1: let's call it social media or decentralized media making those 160 00:11:36,280 --> 00:11:38,240 Speaker 1: loops tighter and faster. 161 00:11:38,520 --> 00:11:44,679 Speaker 2: Without a doubt, the half life of stories is declining, 162 00:11:44,960 --> 00:11:49,040 Speaker 2: which makes actually kind of better for narrative analysis because 163 00:11:49,120 --> 00:11:53,319 Speaker 2: you can, if not ignore, you can safely assume that 164 00:11:53,679 --> 00:11:57,679 Speaker 2: the stories of today that are very specific to today, 165 00:11:58,120 --> 00:12:02,960 Speaker 2: a very specific political issue or the like, they're not 166 00:12:03,040 --> 00:12:06,360 Speaker 2: going to be around the issues that stick around Mary, 167 00:12:06,480 --> 00:12:09,720 Speaker 2: the ones that have a longer half life, that have 168 00:12:09,840 --> 00:12:13,960 Speaker 2: a more secular pattern right as opposed to you've just 169 00:12:14,000 --> 00:12:16,160 Speaker 2: got a recursive loop and you're just kind of done. 170 00:12:16,320 --> 00:12:19,760 Speaker 2: So a recursive social loop simply means that we tend 171 00:12:19,760 --> 00:12:23,439 Speaker 2: to all of these these stories tend to get into 172 00:12:23,480 --> 00:12:26,720 Speaker 2: their I like to call them. They get auto tuned 173 00:12:26,800 --> 00:12:31,199 Speaker 2: into a certain audience where your echo chamber, and they 174 00:12:31,240 --> 00:12:34,120 Speaker 2: just go back and forth. But in markets, the ones 175 00:12:34,160 --> 00:12:37,480 Speaker 2: that are the narratives that are longer lasting and hence 176 00:12:37,520 --> 00:12:41,800 Speaker 2: more investible, are the ones that don't get trapped into 177 00:12:42,360 --> 00:12:45,680 Speaker 2: I mean, they are obviously impacted by political auto tuning, 178 00:12:46,160 --> 00:12:47,559 Speaker 2: but they go beyond that. 179 00:12:48,040 --> 00:12:53,760 Speaker 1: So you've described the narrative machine as distinct from traditional 180 00:12:54,240 --> 00:12:58,080 Speaker 1: sentiment analysis. Explain the ways that that is the case. 181 00:12:58,640 --> 00:13:02,480 Speaker 2: So cinniment is I think a very weak read to 182 00:13:02,559 --> 00:13:06,720 Speaker 2: try to understand what changes people's minds. And this gets 183 00:13:06,720 --> 00:13:09,840 Speaker 2: back to the initial idea of well, how do you 184 00:13:09,920 --> 00:13:14,760 Speaker 2: measure information? And a narrative is information? A story is information. 185 00:13:15,320 --> 00:13:18,880 Speaker 2: The way you measure it is not by its truthfulness 186 00:13:19,360 --> 00:13:22,960 Speaker 2: or its accuracy. You measure its strength by how does 187 00:13:23,000 --> 00:13:25,000 Speaker 2: it does it change your mind? Does it does it 188 00:13:25,200 --> 00:13:29,640 Speaker 2: does it make you think something differently than you thought 189 00:13:29,720 --> 00:13:33,960 Speaker 2: before sentiment, Whether you use nice words or mean words 190 00:13:34,000 --> 00:13:37,160 Speaker 2: to talk about something, it never changes your mind. It 191 00:13:37,240 --> 00:13:39,240 Speaker 2: never changed your mind. The only thing that can change 192 00:13:39,240 --> 00:13:44,679 Speaker 2: your mind, Barry, is a better story. When somebody tells 193 00:13:44,720 --> 00:13:47,400 Speaker 2: you a story, they put it in that story arc 194 00:13:47,640 --> 00:13:50,400 Speaker 2: that has the truthiness. Does that have to be truth 195 00:13:50,480 --> 00:13:53,480 Speaker 2: It has to be the truthiness? And you go, huh, 196 00:13:53,920 --> 00:13:55,439 Speaker 2: that makes sense. 197 00:13:56,080 --> 00:14:00,360 Speaker 1: I'm glad you use that phrase truthiness again. You you've 198 00:14:00,440 --> 00:14:04,920 Speaker 1: explained that narratives are not truth claims, but rather they're 199 00:14:05,000 --> 00:14:09,760 Speaker 1: coordination tools. Give us a little more details on what 200 00:14:10,160 --> 00:14:12,800 Speaker 1: a narrative as coordination tool looks like. 201 00:14:13,160 --> 00:14:17,120 Speaker 2: Yeah, a coordination tool simply means that the speaker, the 202 00:14:17,200 --> 00:14:22,800 Speaker 2: opinion giver, is trying to shape opinion and behavior to 203 00:14:22,840 --> 00:14:26,720 Speaker 2: a certain outcome. That's all. It means. A politician wants 204 00:14:26,760 --> 00:14:30,040 Speaker 2: to shape your behavior to vote a certain way. Central 205 00:14:30,080 --> 00:14:33,600 Speaker 2: bankers typically want to get you to go farther at 206 00:14:33,640 --> 00:14:37,320 Speaker 2: take more risk with your portfolio than you otherwise would. 207 00:14:37,720 --> 00:14:43,320 Speaker 2: A coordination tool simply means using your words for effect, 208 00:14:44,280 --> 00:14:48,880 Speaker 2: not as an accurate description of what you actually think, 209 00:14:49,200 --> 00:14:52,440 Speaker 2: but to use your words to change behavior. That's what 210 00:14:52,640 --> 00:14:56,760 Speaker 2: forward guidance is all about. That's what advertising is all about. 211 00:14:57,200 --> 00:15:01,560 Speaker 2: It's not to share with you the the actual workings, 212 00:15:01,680 --> 00:15:04,600 Speaker 2: inner workings of their mind. Is to try to change 213 00:15:04,600 --> 00:15:07,480 Speaker 2: your behavior. That's what a coordination tool is. 214 00:15:08,120 --> 00:15:12,800 Speaker 1: You've used the freight captured by a prevailing market story. 215 00:15:12,880 --> 00:15:16,320 Speaker 1: Some investors get captured and they get sucked into it. 216 00:15:16,440 --> 00:15:20,240 Speaker 1: Some of the more common themes have been bitcoins as 217 00:15:20,320 --> 00:15:27,080 Speaker 1: a inflation hedge, gold as a substitute for currency. How 218 00:15:27,120 --> 00:15:31,560 Speaker 1: can any investor detect when they've been either consciously or 219 00:15:31,640 --> 00:15:34,640 Speaker 1: unconsciously captured by a narrative. 220 00:15:35,400 --> 00:15:39,920 Speaker 2: It's difficult. Remember the X Files where Fox molders. You know, 221 00:15:40,000 --> 00:15:44,080 Speaker 2: I want to believe, and that's true for all of 222 00:15:44,160 --> 00:15:48,200 Speaker 2: us humans. We want to believe it. When somebody tells 223 00:15:48,280 --> 00:15:53,760 Speaker 2: us a believable story, and they're a believable source, then 224 00:15:54,720 --> 00:15:59,720 Speaker 2: our predilection is to say, oh huh, that's interesting. I believe. 225 00:16:00,160 --> 00:16:03,680 Speaker 2: What's crucial to do? Barry? And it's so hard. I mean, 226 00:16:03,720 --> 00:16:06,840 Speaker 2: I've been doing this professionally for thirty five years, and 227 00:16:06,880 --> 00:16:10,480 Speaker 2: I still We'll get wrapped up in a story. I'll 228 00:16:10,520 --> 00:16:13,960 Speaker 2: read a tweet, or it'll make me really mad. I'll 229 00:16:14,160 --> 00:16:16,560 Speaker 2: read a story and go, oh, that's really interesting. I 230 00:16:16,560 --> 00:16:20,120 Speaker 2: got to look up companies to invest in that theme. 231 00:16:20,640 --> 00:16:24,360 Speaker 2: The crucial thing, Barry, is not to think this stuff is, oh, 232 00:16:24,400 --> 00:16:27,320 Speaker 2: it's always a lie, or they're trying to fool you. 233 00:16:27,800 --> 00:16:31,480 Speaker 2: It's just to maintain some critical distance. The words are 234 00:16:31,480 --> 00:16:35,440 Speaker 2: being spoken to you to get you to change your behavior. 235 00:16:35,480 --> 00:16:37,720 Speaker 2: They're trying to change your mind. They're trying to convince 236 00:16:37,760 --> 00:16:40,800 Speaker 2: you of a story that's not bad. That's what we 237 00:16:40,960 --> 00:16:43,400 Speaker 2: humans do. And it may be a story that you 238 00:16:43,440 --> 00:16:47,000 Speaker 2: do end up believing. That's fine too. The crucial thing 239 00:16:47,120 --> 00:16:50,800 Speaker 2: is always, though, to step back and just ask yourself, 240 00:16:51,600 --> 00:16:54,840 Speaker 2: why am I reading this now? Why is this story 241 00:16:54,920 --> 00:16:58,320 Speaker 2: being presented to me? Now? Just do that, Just do 242 00:16:58,440 --> 00:17:01,160 Speaker 2: that simple step and it will give you just a 243 00:17:01,400 --> 00:17:03,640 Speaker 2: it'll give you a beat. It'll give you a beat, 244 00:17:03,760 --> 00:17:07,760 Speaker 2: just a step back, so you don't rush headlong into 245 00:17:07,800 --> 00:17:11,440 Speaker 2: believing a story because you want to believe it. That's 246 00:17:11,480 --> 00:17:13,720 Speaker 2: all you need to do. Why am I reading this now? 247 00:17:14,200 --> 00:17:17,680 Speaker 1: To say the very least, for sure, thank you, Ben. 248 00:17:17,840 --> 00:17:22,600 Speaker 1: To wrap up, the narrative machine is everywhere. It is 249 00:17:22,720 --> 00:17:28,600 Speaker 1: creating storylines for stocks, for asset classes, for markets, for politicians, 250 00:17:28,680 --> 00:17:32,439 Speaker 1: for individual companies. It takes a little bit of common 251 00:17:32,520 --> 00:17:36,919 Speaker 1: sense to step back, take a beat, give yourself a moment. 252 00:17:37,160 --> 00:17:40,760 Speaker 1: Ask yourself, is this a reliable storyteller? Do they have 253 00:17:40,800 --> 00:17:44,840 Speaker 1: a good track record? Are they the sort of storyteller 254 00:17:45,320 --> 00:17:50,520 Speaker 1: that is worth believing, Or perhaps they're selling something and 255 00:17:50,560 --> 00:17:54,200 Speaker 1: we should be a little more circumspect before we buy. 256 00:17:55,280 --> 00:18:00,600 Speaker 1: I'm Barry Ridults, you're listening to Bloomberg's at the Money 257 00:18:00,840 --> 00:18:05,480 Speaker 2: Back a band and rend themselfscl and tolded hand invented