1 00:00:02,520 --> 00:00:11,840 Speaker 1: Bloomberg Audio Studios, podcasts, radio News. This is Masters in 2 00:00:11,920 --> 00:00:15,600 Speaker 1: Business with Barry Ritholtz on Bloomberg Radio. 3 00:00:16,800 --> 00:00:20,840 Speaker 2: This week on the podcast, another extra special guest. John 4 00:00:20,880 --> 00:00:24,080 Speaker 2: Hilsenrath was a reporter for the Wall Street Journal, covering 5 00:00:24,160 --> 00:00:28,080 Speaker 2: everything from September eleventh to the Federal Reserve for twenty 6 00:00:28,080 --> 00:00:31,960 Speaker 2: six years. His coverage at the Journal of the Fed 7 00:00:32,520 --> 00:00:36,360 Speaker 2: got him nicknamed the Fed Whisperer for his many, many 8 00:00:36,520 --> 00:00:43,200 Speaker 2: page one scoops. He's now running Serpa Pinto Advisory, multiple 9 00:00:43,600 --> 00:00:47,720 Speaker 2: Pulitzer Prize nomination, author of a book about Janet Yellen, 10 00:00:48,880 --> 00:00:54,080 Speaker 2: just a whirlwind of information about the economy, markets, and 11 00:00:54,120 --> 00:00:58,080 Speaker 2: the Fed. I thought the conversation was absolutely fascinating, and 12 00:00:58,120 --> 00:01:01,400 Speaker 2: I think you will also with no further ado, my 13 00:01:01,560 --> 00:01:04,960 Speaker 2: conversation with the Wall Street Journals. John Hilson Rath. 14 00:01:05,800 --> 00:01:08,480 Speaker 3: It is my extra special honor to be here. 15 00:01:08,600 --> 00:01:12,160 Speaker 2: Does it does it feel like you're in the enemy's territory? Competitive? 16 00:01:12,319 --> 00:01:14,840 Speaker 3: Uh, I've crossed over. I've crossed over. 17 00:01:14,680 --> 00:01:16,120 Speaker 2: Here now on the private side. 18 00:01:16,319 --> 00:01:19,160 Speaker 3: Yeah yeah, yeah, yeah. So I want to tell you, 19 00:01:19,360 --> 00:01:22,640 Speaker 3: and I should say on the Wall Street Journal page 20 00:01:22,680 --> 00:01:25,479 Speaker 3: one story as it was his, I'm a former editor too, 21 00:01:25,880 --> 00:01:28,160 Speaker 3: I had that many. I don't have that many anymore 22 00:01:28,200 --> 00:01:29,440 Speaker 3: because I've I left the journal. 23 00:01:29,600 --> 00:01:33,040 Speaker 2: Well, but those those headlines, like that number isn't growing anymore, right, 24 00:01:33,080 --> 00:01:35,840 Speaker 2: but it's but it's not going down either. That number 25 00:01:35,959 --> 00:01:36,920 Speaker 2: is a permanent record. 26 00:01:36,959 --> 00:01:37,600 Speaker 3: Yeah, I appreciate. 27 00:01:37,640 --> 00:01:41,600 Speaker 2: So you you have that many, you know, that many 28 00:01:41,720 --> 00:01:43,520 Speaker 2: pole positions and you're you're good to go. 29 00:01:43,680 --> 00:01:46,399 Speaker 3: And there were that many battles with editors at the 30 00:01:46,400 --> 00:01:49,400 Speaker 3: Wall Street Journal over you know, structure that story and 31 00:01:49,440 --> 00:01:50,640 Speaker 3: what headline to put on it. 32 00:01:51,120 --> 00:01:53,320 Speaker 2: That's a whole nother conversation we're going to get to. 33 00:01:53,920 --> 00:01:57,320 Speaker 2: I am constantly reminding people, Hey, you know, the writer, 34 00:01:57,640 --> 00:01:59,800 Speaker 2: they don't get to pick the headline. That's the editor. 35 00:02:00,200 --> 00:02:02,400 Speaker 2: And people seem shocked by that. 36 00:02:02,720 --> 00:02:05,880 Speaker 3: Yeah, it's a process. Let's just let's say the least, 37 00:02:05,920 --> 00:02:07,160 Speaker 3: it's definitely a process. 38 00:02:07,240 --> 00:02:10,799 Speaker 2: Before we get to your writing and editing, let's talk 39 00:02:10,840 --> 00:02:15,720 Speaker 2: a little bit about your background. Duke University, undergrad eventually 40 00:02:15,800 --> 00:02:18,760 Speaker 2: an NBA from Columbia. What was the career plan? 41 00:02:19,720 --> 00:02:22,880 Speaker 3: The career plan for me was always journalism. I actually 42 00:02:22,919 --> 00:02:25,600 Speaker 3: like you. I'm a Long Island boy. Are you from 43 00:02:25,639 --> 00:02:26,200 Speaker 3: Long Island? 44 00:02:26,320 --> 00:02:26,359 Speaker 4: Or? 45 00:02:27,000 --> 00:02:27,840 Speaker 2: From sixth grade on? 46 00:02:27,919 --> 00:02:29,880 Speaker 3: From sixth grade? On Okay I grew I grew up 47 00:02:29,880 --> 00:02:32,560 Speaker 3: there to Manhasset, Long Island. 48 00:02:32,919 --> 00:02:35,880 Speaker 2: And Welcus Valley. That's we could play Jewish geography. That's 49 00:02:35,960 --> 00:02:37,480 Speaker 2: twenty fifteen, twenty minutes from. 50 00:02:37,400 --> 00:02:40,600 Speaker 3: Me, although Manhasset was a Catholic town. But like, the 51 00:02:40,720 --> 00:02:43,799 Speaker 3: career plan for me was always journalism. I started writing 52 00:02:43,800 --> 00:02:47,200 Speaker 3: for the Manhasset Press when I was sixteen years old. 53 00:02:47,520 --> 00:02:49,480 Speaker 3: I was I started out as a sports writer. The 54 00:02:49,520 --> 00:02:53,200 Speaker 3: original plan was sports writer, ah, and then the next 55 00:02:53,240 --> 00:02:57,880 Speaker 3: plan was war correspondent, and then somehow I ended up 56 00:02:58,080 --> 00:03:00,280 Speaker 3: becoming an economics writer. But I stuck to the plan 57 00:03:00,320 --> 00:03:00,919 Speaker 3: of journalism. 58 00:03:01,080 --> 00:03:03,880 Speaker 2: So if journalism was always the plan, why an MBA, 59 00:03:04,040 --> 00:03:05,799 Speaker 2: why not journalism are well? 60 00:03:05,880 --> 00:03:10,560 Speaker 3: So I about excuse me. About five years into my 61 00:03:10,680 --> 00:03:13,760 Speaker 3: journalism career, I went back and did a fell When 62 00:03:13,760 --> 00:03:16,320 Speaker 3: I decided I want to do economics and finance, I 63 00:03:16,360 --> 00:03:18,639 Speaker 3: went back and did a fellowship at Columbia. It's called 64 00:03:18,639 --> 00:03:22,040 Speaker 3: a night Badget fellowship. Ye great program. And what they 65 00:03:22,040 --> 00:03:24,040 Speaker 3: did is they took a few working journalists and then 66 00:03:24,080 --> 00:03:26,240 Speaker 3: they put them through the business school for a year. 67 00:03:26,880 --> 00:03:30,000 Speaker 3: And then after a year that I decided to do 68 00:03:30,120 --> 00:03:32,640 Speaker 3: a few extra courses and get the NBA, But I 69 00:03:32,720 --> 00:03:35,200 Speaker 3: was really there for the fellowship to kind of to 70 00:03:35,320 --> 00:03:37,640 Speaker 3: Basically what I wanted to do was learn how a 71 00:03:37,680 --> 00:03:40,960 Speaker 3: balance sheet worked, learn how corporate finance worked. I had 72 00:03:40,960 --> 00:03:43,760 Speaker 3: spent a bunch of years covering like Macro, but I 73 00:03:43,840 --> 00:03:46,880 Speaker 3: didn't understand anything about what made Wall Street go. So 74 00:03:46,960 --> 00:03:48,520 Speaker 3: that was why I went back there. 75 00:03:48,520 --> 00:03:51,600 Speaker 2: So what was it that drew you to journalism? Oh? 76 00:03:51,640 --> 00:03:56,440 Speaker 3: Wow, I just you know, so I hated English class 77 00:03:56,440 --> 00:03:58,520 Speaker 3: in high school. I don't know how you felt, but 78 00:03:59,400 --> 00:04:01,400 Speaker 3: you know these four and they're still teaching it the 79 00:04:01,440 --> 00:04:04,640 Speaker 3: same way. By the way, these four paragraph essays of 80 00:04:04,800 --> 00:04:09,000 Speaker 3: you know, introduction, supporting paragraph one, supporting paragraph. 81 00:04:08,680 --> 00:04:11,720 Speaker 2: That was never a problem is always subject, predicate, what's 82 00:04:11,760 --> 00:04:12,360 Speaker 2: an adverb? 83 00:04:12,480 --> 00:04:14,880 Speaker 3: Why do I need to? And then it's like why 84 00:04:14,920 --> 00:04:17,360 Speaker 3: am I? You know, why am I learning to do 85 00:04:17,480 --> 00:04:20,839 Speaker 3: literary reviews? To kill a mocking bodker? Anyway, I never 86 00:04:20,920 --> 00:04:23,240 Speaker 3: thought I would have anything to do with writing, but 87 00:04:23,320 --> 00:04:26,719 Speaker 3: then I got involved in covering the local sports teams 88 00:04:26,720 --> 00:04:28,599 Speaker 3: and I was like, this is really interesting, this is fun. 89 00:04:28,640 --> 00:04:31,240 Speaker 3: I'm like right in the middle of the action and 90 00:04:31,800 --> 00:04:34,880 Speaker 3: like right on the sideline, and people are paying attention 91 00:04:35,000 --> 00:04:37,320 Speaker 3: and they care about it, and it just felt it 92 00:04:37,360 --> 00:04:40,120 Speaker 3: was just I had I had, I had fun, and 93 00:04:40,200 --> 00:04:43,479 Speaker 3: I've come to see over my career that like the 94 00:04:43,560 --> 00:04:46,479 Speaker 3: great thing about journalism and like here we are in 95 00:04:46,600 --> 00:04:49,599 Speaker 3: the Bloomberg newsroom is like you're always surfing right on 96 00:04:49,640 --> 00:04:52,719 Speaker 3: the edge of history, right, And so that's really what 97 00:04:52,920 --> 00:04:55,000 Speaker 3: ended up drawing it to me. I mean, there's the 98 00:04:55,080 --> 00:04:59,240 Speaker 3: reporting aspect and the writing aspect, but just the idea 99 00:04:59,279 --> 00:05:01,360 Speaker 3: of being like right in the middle of things as 100 00:05:01,400 --> 00:05:03,240 Speaker 3: they're happening and trying to make sense of them and 101 00:05:03,279 --> 00:05:06,640 Speaker 3: explain them was an addiction that I didn't get over 102 00:05:06,680 --> 00:05:07,320 Speaker 3: for a long time. 103 00:05:07,400 --> 00:05:10,000 Speaker 2: And right out of Columbia straight to the Wall Street 104 00:05:10,040 --> 00:05:11,640 Speaker 2: Journal was that your first gig? 105 00:05:11,920 --> 00:05:16,560 Speaker 3: Well, so I started out at a newswires service in 106 00:05:16,839 --> 00:05:19,240 Speaker 3: the early nineteen nineties. Here we are back in Bloomberg. 107 00:05:19,279 --> 00:05:22,520 Speaker 3: It was called right Night rit or Financial No sure, yeah, 108 00:05:22,720 --> 00:05:23,760 Speaker 3: And like. 109 00:05:23,720 --> 00:05:26,880 Speaker 2: Any relationship to the Night big a hot, No, there 110 00:05:26,920 --> 00:05:27,080 Speaker 2: was no. 111 00:05:27,240 --> 00:05:29,240 Speaker 3: There was no relationship except for the fact that the 112 00:05:29,320 --> 00:05:31,839 Speaker 3: Knight family was really rich and could fund something. Right, Okay, 113 00:05:32,320 --> 00:05:35,000 Speaker 3: But Bloomberg was like up and coming at the time, 114 00:05:35,160 --> 00:05:38,600 Speaker 3: and people weren't taking it as seriously as they should have. 115 00:05:38,720 --> 00:05:42,640 Speaker 3: But I did that a few years, moved to Hong 116 00:05:42,720 --> 00:05:44,919 Speaker 3: Kong with a newly wed on an extrege with my 117 00:05:44,960 --> 00:05:48,760 Speaker 3: newly wed on on an exchange program with Columbia, and 118 00:05:48,839 --> 00:05:50,560 Speaker 3: then I signed up with the journal over there. 119 00:05:51,000 --> 00:05:53,200 Speaker 2: How long were you in Hong Kong for five years? 120 00:05:53,240 --> 00:05:55,120 Speaker 3: About five years? Yeah, And that was a place. 121 00:05:55,160 --> 00:05:57,920 Speaker 2: This was when the UK was running the city and 122 00:05:58,000 --> 00:05:58,800 Speaker 2: before I was. 123 00:05:58,760 --> 00:06:02,080 Speaker 3: There right for the handover, so you know, so it's 124 00:06:02,240 --> 00:06:04,960 Speaker 3: I mean, there's another great thing about journalism is wherever 125 00:06:05,000 --> 00:06:07,920 Speaker 3: I went, it seemed like stuff started blowing up. So 126 00:06:08,440 --> 00:06:11,320 Speaker 3: I started with the Wall Street Journal in Hong Kong 127 00:06:11,960 --> 00:06:14,840 Speaker 3: in July of nineteen ninety seven. That was the week 128 00:06:14,920 --> 00:06:19,560 Speaker 3: that the UK handed the city over to China, and 129 00:06:19,600 --> 00:06:21,960 Speaker 3: it was also the week that the Taibati valued and 130 00:06:22,000 --> 00:06:25,000 Speaker 3: started the Asian financial crisis. So I got in there 131 00:06:25,000 --> 00:06:28,200 Speaker 3: and I was like flying from day one on these stories. 132 00:06:28,400 --> 00:06:31,440 Speaker 3: It turned out that the Asian financial crisis, particularly in 133 00:06:32,560 --> 00:06:35,160 Speaker 3: given what I was doing, was a much bigger event 134 00:06:35,200 --> 00:06:38,560 Speaker 3: than the handover. The handover was had much had long 135 00:06:38,640 --> 00:06:41,560 Speaker 3: term implications obviously, but yeah, so I was there for 136 00:06:41,600 --> 00:06:41,960 Speaker 3: all of it. 137 00:06:42,000 --> 00:06:45,279 Speaker 2: So how long after the handover did you start seeing 138 00:06:46,000 --> 00:06:48,719 Speaker 2: the heavier hands of China in day to day life 139 00:06:48,720 --> 00:06:49,200 Speaker 2: in Hong Kong. 140 00:06:49,240 --> 00:06:51,240 Speaker 3: You know, I think it's been a very slow and 141 00:06:51,360 --> 00:06:55,599 Speaker 3: corrosive process. And frankly, when I was there from ninety 142 00:06:55,680 --> 00:07:01,600 Speaker 3: six through two thousand, it was really the economic events 143 00:07:01,640 --> 00:07:03,760 Speaker 3: that were driving the city at the time. So the 144 00:07:03,800 --> 00:07:06,320 Speaker 3: first one was the Asian financial crisis and a property 145 00:07:06,360 --> 00:07:10,680 Speaker 3: crisis that swept through Asia. One of my formative experiences 146 00:07:10,720 --> 00:07:14,520 Speaker 3: as journalists was covering an investment bank called Paragrine Investments 147 00:07:14,520 --> 00:07:18,200 Speaker 3: that blew up, and I learned some really important lessons 148 00:07:18,200 --> 00:07:19,840 Speaker 3: that came back to help me in two thousand and 149 00:07:19,880 --> 00:07:23,720 Speaker 3: eight about how banks explode and you know, were implode. 150 00:07:23,800 --> 00:07:26,400 Speaker 2: So when you came back to tell you it was Paragrine. 151 00:07:27,160 --> 00:07:30,480 Speaker 3: Yeah. So one of the formative experiences of my career 152 00:07:31,120 --> 00:07:33,600 Speaker 3: in Hong Kong was covering the collapse of an investment 153 00:07:33,600 --> 00:07:38,680 Speaker 3: bank called Paragrine Investments, and you know, I saw, you know, 154 00:07:38,840 --> 00:07:41,680 Speaker 3: why banks collapse and what causes these kinds of runs. 155 00:07:41,880 --> 00:07:44,880 Speaker 3: It came in really handy ten years later when Bear 156 00:07:44,960 --> 00:07:48,200 Speaker 3: Stearns and Lehman Brothers were blowing up, and I had 157 00:07:48,280 --> 00:07:50,960 Speaker 3: insights that kind of got me ahead of those stories 158 00:07:51,000 --> 00:07:53,800 Speaker 3: in ways that surprised some people at the journal. I 159 00:07:53,800 --> 00:07:55,480 Speaker 3: would you know when I don't know if you remember 160 00:07:55,480 --> 00:07:57,440 Speaker 3: when those bear Stearns hedge funds blew up. 161 00:07:57,520 --> 00:07:58,240 Speaker 2: Oh? I remember. 162 00:07:58,720 --> 00:08:02,000 Speaker 3: I told my Colly Kate Kelly, who was all over 163 00:08:02,040 --> 00:08:04,120 Speaker 3: that story. I said, they're going to blow up this weekend. 164 00:08:04,160 --> 00:08:07,960 Speaker 3: We need to have a two thousand world story ready 165 00:08:07,960 --> 00:08:10,880 Speaker 3: to go Saturday. She's like, you're overreacting. I was like, 166 00:08:10,920 --> 00:08:13,920 Speaker 3: watch because I saw what happens when creditors of banks 167 00:08:13,920 --> 00:08:17,280 Speaker 3: get nervous. And I learned all that in Asia. The 168 00:08:17,640 --> 00:08:20,880 Speaker 3: other big event in Asia in the late nineteen nineties 169 00:08:20,960 --> 00:08:24,200 Speaker 3: was of course the handover. But for people in Hong Kong, 170 00:08:24,240 --> 00:08:27,360 Speaker 3: it's a very entrepreneurial city. They were thinking, well, how 171 00:08:27,360 --> 00:08:29,160 Speaker 3: do we get money? How do we make money off 172 00:08:29,200 --> 00:08:31,040 Speaker 3: of this? You know, how do we tire? You know, 173 00:08:31,200 --> 00:08:34,199 Speaker 3: the Chinese economy had been booming, it was a growth story, 174 00:08:34,559 --> 00:08:37,800 Speaker 3: and so people were looking for ways to advance themselves economically. 175 00:08:37,840 --> 00:08:41,120 Speaker 3: I think what we've seen happen to Hong Kong since, 176 00:08:41,400 --> 00:08:45,080 Speaker 3: and this is perhaps a lesson, is that, you know, 177 00:08:45,120 --> 00:08:50,600 Speaker 3: these attacks on democracy have been and free speech and 178 00:08:50,640 --> 00:08:53,199 Speaker 3: all that have been slow and corrosive, and it's a 179 00:08:53,240 --> 00:08:56,520 Speaker 3: different city today than it was twenty five years ago, 180 00:08:56,880 --> 00:09:00,120 Speaker 3: but after the handover, it was just people trying to 181 00:09:00,559 --> 00:09:02,640 Speaker 3: make better lives for themselves. 182 00:09:02,240 --> 00:09:05,840 Speaker 2: Right, really really fascinating. How do you get from Hong Kong. 183 00:09:06,080 --> 00:09:09,240 Speaker 3: To d C to DC? Well there was a stop 184 00:09:09,280 --> 00:09:11,520 Speaker 3: in the middle in New York. So I was in 185 00:09:11,720 --> 00:09:15,920 Speaker 3: Hong Kong for five years. Moved back to the US 186 00:09:16,600 --> 00:09:19,480 Speaker 3: in early two thousand and one, right in time for 187 00:09:19,880 --> 00:09:23,720 Speaker 3: the tech bubble to burse and of course nine to eleven. Again, 188 00:09:24,080 --> 00:09:26,640 Speaker 3: wherever I went it seemed like terrible things were going on. 189 00:09:26,720 --> 00:09:29,360 Speaker 4: You seem to be an unlucky charm and you know, 190 00:09:29,400 --> 00:09:31,600 Speaker 4: and I used to joke that like Wall Street should 191 00:09:31,640 --> 00:09:34,800 Speaker 4: just pass its hat around to retire me, because you know, 192 00:09:34,840 --> 00:09:36,960 Speaker 4: then I just get out of everybody's bad news. 193 00:09:37,000 --> 00:09:39,400 Speaker 3: But yeah, came back. I was in the New York 194 00:09:39,440 --> 00:09:45,160 Speaker 3: office for seven years writing about economics. I was our 195 00:09:45,200 --> 00:09:49,400 Speaker 3: markets editor during the credit bubble and the credit bust 196 00:09:49,679 --> 00:09:53,920 Speaker 3: and learned a lot in that experience about the interactions 197 00:09:53,960 --> 00:09:55,479 Speaker 3: of economics and final. 198 00:09:55,280 --> 00:09:57,200 Speaker 2: Where was your office in two thousand and one? 199 00:09:57,240 --> 00:09:59,199 Speaker 3: Our office was across the street front. 200 00:09:59,040 --> 00:10:03,280 Speaker 2: Right, not the the Fox Wall Street Journal office. 201 00:10:02,960 --> 00:10:05,719 Speaker 3: On that you moved up there after Murdoch took over. 202 00:10:05,800 --> 00:10:07,839 Speaker 2: That's right, this was you guys were right in the 203 00:10:07,880 --> 00:10:08,280 Speaker 2: middle of it. 204 00:10:08,400 --> 00:10:10,760 Speaker 3: We were, yeah, so what So we were across the 205 00:10:10,760 --> 00:10:13,400 Speaker 3: street in the World Financial Center, the southernmost tower, I 206 00:10:13,400 --> 00:10:16,400 Speaker 3: guess that was World Financial Center three. So I would 207 00:10:16,440 --> 00:10:19,440 Speaker 3: walk across the West Side Highway on this land bridge 208 00:10:19,440 --> 00:10:20,280 Speaker 3: every day, right. 209 00:10:20,160 --> 00:10:22,880 Speaker 2: Next to the Palm Court, if I recall correctly, that 210 00:10:22,960 --> 00:10:24,960 Speaker 2: big glass. 211 00:10:24,440 --> 00:10:27,280 Speaker 3: Yeah, yeah, yeah, yeah, we were across the street from 212 00:10:27,320 --> 00:10:30,360 Speaker 3: that too. Anyway, I happened to be in early that 213 00:10:30,520 --> 00:10:33,400 Speaker 3: morning trying to finish a story, and I was heading 214 00:10:33,440 --> 00:10:39,960 Speaker 3: over to the World Trade Center for NABE conference. And 215 00:10:41,920 --> 00:10:44,880 Speaker 3: you know, journal reporters tended to get in a little 216 00:10:44,880 --> 00:10:48,000 Speaker 3: bit after nine because we tended to have late deadlines. 217 00:10:48,320 --> 00:10:50,880 Speaker 3: I was in early, was there for the first plane 218 00:10:50,960 --> 00:10:53,440 Speaker 3: to hit, and then I ran out into the street 219 00:10:53,440 --> 00:10:55,719 Speaker 3: with a notebook. Second plane flew right over my head. 220 00:10:55,760 --> 00:10:58,760 Speaker 2: Wow. Yeah, And were you interviewing? People were like, what 221 00:10:58,800 --> 00:10:59,880 Speaker 2: did you do that day? 222 00:11:00,160 --> 00:11:03,439 Speaker 3: So well, so I'll tell you exactly what I did. 223 00:11:03,480 --> 00:11:05,960 Speaker 3: The first thing I did when I saw the inferno 224 00:11:06,800 --> 00:11:09,880 Speaker 3: from the first plane is I ran downstairs to I 225 00:11:10,000 --> 00:11:12,800 Speaker 3: was where the reporters were stationed. I knew the top 226 00:11:12,920 --> 00:11:15,600 Speaker 3: editors were down a floor. So I ran down there 227 00:11:15,640 --> 00:11:19,280 Speaker 3: to see who was here and who was organized organizing things. 228 00:11:19,559 --> 00:11:22,200 Speaker 3: I ran to Paul Steiger Oh, I was the managing 229 00:11:22,280 --> 00:11:24,959 Speaker 3: editor of the paper. I said, hey, I'm here, I'm 230 00:11:25,000 --> 00:11:28,200 Speaker 3: here early. You know, I'm on it. What do you 231 00:11:28,200 --> 00:11:31,320 Speaker 3: want me to do? And his advice was go figure 232 00:11:31,320 --> 00:11:34,520 Speaker 3: out what happened and don't get yourself killed. So like 233 00:11:34,559 --> 00:11:38,960 Speaker 3: he immediately understood that something serious was at hand. So 234 00:11:39,040 --> 00:11:43,880 Speaker 3: I grabbed a notebook and ran over that pedestrian bridge, 235 00:11:43,880 --> 00:11:46,840 Speaker 3: saw a lot of carnage in the street, and started 236 00:11:46,960 --> 00:11:49,040 Speaker 3: kind of writing. Well. The next thing I did was 237 00:11:49,080 --> 00:11:51,839 Speaker 3: call my wife to let her know that there was 238 00:11:51,880 --> 00:11:53,840 Speaker 3: a fire. And I was okay because I figured it 239 00:11:53,880 --> 00:11:56,320 Speaker 3: was going to be on the news within a matter 240 00:11:56,400 --> 00:11:58,719 Speaker 3: of minutes and she knew where I was, so I 241 00:11:58,840 --> 00:12:00,480 Speaker 3: called her to let her know I was okay. And 242 00:12:00,520 --> 00:12:02,720 Speaker 3: then a few minutes later, as I'm in the street, 243 00:12:03,160 --> 00:12:05,120 Speaker 3: the cops are trying to clear me out. They're saying, 244 00:12:05,160 --> 00:12:08,120 Speaker 3: you can't be here. This is a dangerous place, so 245 00:12:08,160 --> 00:12:10,400 Speaker 3: they're trying to move me out of the street. I walk, 246 00:12:10,760 --> 00:12:15,480 Speaker 3: and then as I'm walking kind of to follow the 247 00:12:15,520 --> 00:12:18,240 Speaker 3: police's orders, the second plane flies right over my head. 248 00:12:18,240 --> 00:12:24,280 Speaker 3: And you know, I stuck around and interviewed witnesses and bystanders, 249 00:12:24,320 --> 00:12:26,319 Speaker 3: and it was a pretty harrowing day. 250 00:12:26,440 --> 00:12:28,960 Speaker 2: Yeah, to say, to say the very least, let's bring 251 00:12:28,960 --> 00:12:34,319 Speaker 2: it back to something a little less arrowing or more traditional. 252 00:12:35,480 --> 00:12:38,319 Speaker 2: You have a really unusual career trajectory at the Wall 253 00:12:38,360 --> 00:12:43,160 Speaker 2: Street Journal. You start, you know, fairly green, and eventually 254 00:12:43,440 --> 00:12:48,240 Speaker 2: you're running what's probably the hottest desk in economics, which 255 00:12:48,320 --> 00:12:52,800 Speaker 2: is covering the FED, showing up at meetings, interviewing FED governor's, 256 00:12:52,840 --> 00:12:55,160 Speaker 2: FED presidents and the chair of the f O and c. 257 00:12:56,360 --> 00:12:58,280 Speaker 2: What was that process like to get there? 258 00:12:58,480 --> 00:13:02,280 Speaker 3: Yeah, well, you know, like my goal at the journal 259 00:13:02,400 --> 00:13:06,679 Speaker 3: was always well, I just wanted to write good stories, right, 260 00:13:06,880 --> 00:13:09,560 Speaker 3: And the journal back when I started at the place 261 00:13:10,000 --> 00:13:15,559 Speaker 3: was ironically you think of it as a finance, economics 262 00:13:15,720 --> 00:13:18,280 Speaker 3: markets kind of paper. And that's how I you know, 263 00:13:18,320 --> 00:13:20,280 Speaker 3: I grew up reading the New York Times and watching 264 00:13:20,320 --> 00:13:23,280 Speaker 3: my dad read the Wall Street Journal, and like that 265 00:13:23,360 --> 00:13:26,320 Speaker 3: stuff just didn't interest me. But what I discovered over 266 00:13:26,440 --> 00:13:28,880 Speaker 3: time was that the you had to be able to 267 00:13:28,880 --> 00:13:32,560 Speaker 3: write long feature stories to succeed page one stories. We 268 00:13:32,640 --> 00:13:35,080 Speaker 3: called them leaders. So like that's what I was focused 269 00:13:35,080 --> 00:13:39,720 Speaker 3: on doing what happened was by two thousand and eight, 270 00:13:40,280 --> 00:13:44,280 Speaker 3: I had I had learned a lot, basically in part 271 00:13:44,360 --> 00:13:49,240 Speaker 3: from my experiences in Asia, you know, where I covered 272 00:13:49,240 --> 00:13:52,920 Speaker 3: these banks collapsing and I saw financial crisis, and I 273 00:13:53,000 --> 00:13:54,760 Speaker 3: kind of felt like I had a roadmap for how 274 00:13:54,800 --> 00:13:58,360 Speaker 3: it worked. And then obviously in two thousand and eight, 275 00:13:58,480 --> 00:14:01,000 Speaker 3: I mean, the US markets were employed and it was 276 00:14:01,080 --> 00:14:04,640 Speaker 3: very complicated. It was kredit, it was credit driven. Our 277 00:14:04,880 --> 00:14:07,880 Speaker 3: star fed reporter left the paper that summer to go 278 00:14:07,920 --> 00:14:11,160 Speaker 3: to the economist magazine, greg Ip. It was a legend YEP. 279 00:14:11,440 --> 00:14:18,880 Speaker 3: And the guy that my future boss really wanted for 280 00:14:18,920 --> 00:14:20,800 Speaker 3: the paper had just moved to London, a guy named 281 00:14:20,800 --> 00:14:26,800 Speaker 3: Mark Whitehouse, who's a Bloomberg Opinion, brilliant, brilliant guy, and 282 00:14:26,880 --> 00:14:28,760 Speaker 3: he was I think seen as the heir apparent. But 283 00:14:28,800 --> 00:14:30,360 Speaker 3: he had just moved to London, so they had no 284 00:14:30,400 --> 00:14:34,200 Speaker 3: one else. And like I had learned a lot about markets, 285 00:14:34,200 --> 00:14:36,960 Speaker 3: I had been writing about economics. I was just well placed. 286 00:14:37,120 --> 00:14:39,480 Speaker 3: So they asked me to go to move down to 287 00:14:39,640 --> 00:14:42,360 Speaker 3: Washington in the summer of two thousand and eight to 288 00:14:42,440 --> 00:14:45,240 Speaker 3: cover the FED, and my first week on the job, 289 00:14:45,360 --> 00:14:49,240 Speaker 3: Lehman Brothers blew up, so I'm on the phone that 290 00:14:49,360 --> 00:14:53,520 Speaker 3: weekend with the top leadership of the FED, trying to 291 00:14:53,600 --> 00:14:56,560 Speaker 3: understand you know, when Tim Geitner is talking to me 292 00:14:56,600 --> 00:15:00,320 Speaker 3: about foam on the runway after like these day of 293 00:15:00,360 --> 00:15:04,800 Speaker 3: intense meetings collapsed, you know, some of these officials wanted 294 00:15:04,800 --> 00:15:08,400 Speaker 3: to talk to reporters to kind of keep us informed 295 00:15:08,440 --> 00:15:12,000 Speaker 3: because the next day was going to be a big deal, 296 00:15:12,040 --> 00:15:13,800 Speaker 3: and they just kind of wanted to have their story 297 00:15:13,840 --> 00:15:16,480 Speaker 3: out there. So I was talking to top people six 298 00:15:16,560 --> 00:15:17,560 Speaker 3: days into the job. 299 00:15:18,160 --> 00:15:21,440 Speaker 2: You're the perfect person to ask this question that I 300 00:15:21,480 --> 00:15:26,680 Speaker 2: have never gotten a good answer to, which was why 301 00:15:26,840 --> 00:15:30,240 Speaker 2: was it that AIG was saved and Lehman was not. 302 00:15:30,480 --> 00:15:33,600 Speaker 2: I have my own theory, yeah, but I haven't spoken 303 00:15:33,640 --> 00:15:36,320 Speaker 2: to very many FED officials in real time. 304 00:15:36,480 --> 00:15:41,040 Speaker 3: I think it was sequential, I mean remarkably right. So, 305 00:15:41,680 --> 00:15:44,480 Speaker 3: I mean what they were telling me Sunday night was 306 00:15:44,520 --> 00:15:49,160 Speaker 3: that they hoped that they had enough of these facilities 307 00:15:49,240 --> 00:15:52,560 Speaker 3: rescue facilities in place. You know, boy, I can't even 308 00:15:52,560 --> 00:15:57,080 Speaker 3: remember all the acronyms anymore, but you know, the liquidity 309 00:15:57,120 --> 00:16:00,320 Speaker 3: that they were pumping into the other investment banks, and 310 00:16:00,360 --> 00:16:02,440 Speaker 3: they hoped that they had enough of these facilities in 311 00:16:02,480 --> 00:16:06,400 Speaker 3: place in order to keep the system stable. The next day, 312 00:16:06,920 --> 00:16:10,000 Speaker 3: you know, people forget the FED had a policy meeting 313 00:16:10,000 --> 00:16:12,680 Speaker 3: on Tuesday. They didn't cut interest rates two days later, 314 00:16:12,840 --> 00:16:15,320 Speaker 3: Like Bernaki had a view that he thought that he 315 00:16:15,400 --> 00:16:18,840 Speaker 3: had the situation under control, and they realized, you know, 316 00:16:18,920 --> 00:16:24,240 Speaker 3: before AIG on Tuesday. On Monday, there was the money 317 00:16:24,240 --> 00:16:26,640 Speaker 3: market mutual funds that broke the boss, that's right, and 318 00:16:26,640 --> 00:16:28,640 Speaker 3: then all hell broke loose, and they realized that if 319 00:16:28,680 --> 00:16:31,200 Speaker 3: they didn't do something, that things were going to get 320 00:16:31,280 --> 00:16:34,000 Speaker 3: much worse. So it was the markets weren't a panic, 321 00:16:34,000 --> 00:16:36,240 Speaker 3: and I think the policy makers panicked and at that 322 00:16:36,360 --> 00:16:39,040 Speaker 3: point they just were doing whatever they could to put 323 00:16:39,080 --> 00:16:40,120 Speaker 3: out fires, whatever they go. 324 00:16:40,280 --> 00:16:42,840 Speaker 2: I have two pet theories on Lehman, and I want 325 00:16:42,840 --> 00:16:46,400 Speaker 2: to run them by you, Okay. One is they looked 326 00:16:46,400 --> 00:16:48,800 Speaker 2: at the balance sheets, the whole repo one oh five 327 00:16:48,880 --> 00:16:51,480 Speaker 2: and moving money off. Someone looked at the balance sheets 328 00:16:51,520 --> 00:16:54,640 Speaker 2: and said, hey, you could rescue these guys, but they're insolvent. 329 00:16:55,000 --> 00:16:57,720 Speaker 2: And not just a little insolvent. Yeah, they're tens of 330 00:16:57,760 --> 00:16:59,360 Speaker 2: billions of dollars insolvent. 331 00:16:59,560 --> 00:16:59,760 Speaker 3: Yeah. 332 00:17:00,080 --> 00:17:02,920 Speaker 2: That was the Lehman brother issue. Bear Stearns. It's like 333 00:17:02,960 --> 00:17:06,880 Speaker 2: they weren't insolvent. They just had too much money tied 334 00:17:06,960 --> 00:17:09,960 Speaker 2: up in a liquid assets. Was a liquidity issue, not 335 00:17:10,000 --> 00:17:11,159 Speaker 2: a solvency issue. 336 00:17:11,240 --> 00:17:14,760 Speaker 3: Yeah. And the rules that the FED was trying to 337 00:17:14,840 --> 00:17:17,359 Speaker 3: abide by at the very edge of its authority was 338 00:17:17,400 --> 00:17:20,119 Speaker 3: that they had to lend against good collateral, right and 339 00:17:20,160 --> 00:17:22,040 Speaker 3: if it was bad collateral, they couldn't do it. And 340 00:17:22,080 --> 00:17:25,760 Speaker 3: then the other problem that weekend was that they were 341 00:17:25,840 --> 00:17:27,760 Speaker 3: starting to worry about who was going to be the 342 00:17:27,800 --> 00:17:28,520 Speaker 3: next one. 343 00:17:28,480 --> 00:17:30,200 Speaker 2: To fail AIG because a. 344 00:17:30,160 --> 00:17:33,200 Speaker 3: Lot of I mean, you know, if if they bailed 345 00:17:33,240 --> 00:17:35,760 Speaker 3: out Laman, then the market's target was going to point 346 00:17:35,760 --> 00:17:38,240 Speaker 3: to Meryl Lynch, right like, So they were just happy 347 00:17:38,240 --> 00:17:40,399 Speaker 3: to get Meryl Lynch bought that week right, right. 348 00:17:40,480 --> 00:17:43,000 Speaker 2: Right, So that John saying that was a great last 349 00:17:43,040 --> 00:17:44,879 Speaker 2: minute deal he pulled off and it worked out well 350 00:17:44,920 --> 00:17:45,439 Speaker 2: for everybody. 351 00:17:45,520 --> 00:17:49,000 Speaker 3: Yeah, and they and and and they survived. So uh, 352 00:17:49,480 --> 00:17:51,920 Speaker 3: you know, it was coming at them fast and furious, 353 00:17:52,040 --> 00:17:53,840 Speaker 3: and I mean, what's kind of remarkable is that they 354 00:17:53,880 --> 00:17:56,840 Speaker 3: had all summer to prepare for it and it still 355 00:17:56,880 --> 00:17:57,760 Speaker 3: blew up in everybody. 356 00:17:57,960 --> 00:18:00,280 Speaker 2: The other the other thing that I would have to 357 00:18:00,280 --> 00:18:03,520 Speaker 2: be a fly on the wall for was, at one 358 00:18:03,560 --> 00:18:07,200 Speaker 2: point in time, one Buffet reached out to Dick Fold 359 00:18:07,240 --> 00:18:10,199 Speaker 2: at Lehman Brothers, and we don't really know the details, 360 00:18:10,280 --> 00:18:14,000 Speaker 2: but it kind of looks like Buffett made an offer 361 00:18:14,040 --> 00:18:16,399 Speaker 2: to Leman and he kind of to Fold and he 362 00:18:16,520 --> 00:18:20,200 Speaker 2: kind of turned up his nose at a low ball offer. Eventually, 363 00:18:20,280 --> 00:18:23,080 Speaker 2: Buffett makes the similar offer to Goldman Sachson. Goldman was 364 00:18:23,119 --> 00:18:26,280 Speaker 2: smart enough to take it. So you can imagine how 365 00:18:26,359 --> 00:18:30,160 Speaker 2: BERNANKI was thinking, Wait, they turned down Buffett. 366 00:18:29,880 --> 00:18:31,080 Speaker 3: Why do we have to get well, I mean, I 367 00:18:31,119 --> 00:18:33,959 Speaker 3: think a lot matters and kind of went at what price? Right? 368 00:18:34,040 --> 00:18:36,320 Speaker 3: So I know that they were working very hard all 369 00:18:36,400 --> 00:18:39,120 Speaker 3: summer to raise capital, and a number of deals, including 370 00:18:39,160 --> 00:18:42,680 Speaker 3: with Korean investors, failed to develop. 371 00:18:42,880 --> 00:18:47,960 Speaker 2: So we mentioned three hundred and nineteen page one bylines. 372 00:18:49,280 --> 00:18:51,520 Speaker 2: What stands out as some of your favorite pieces? 373 00:18:52,520 --> 00:18:58,440 Speaker 3: Well, I am most attached to those longer magazine feature stories. 374 00:18:59,359 --> 00:19:01,199 Speaker 3: One of my favorite ver It's was a piece I 375 00:19:01,240 --> 00:19:04,400 Speaker 3: wrote in two thousand and five. The spring of two 376 00:19:04,440 --> 00:19:07,040 Speaker 3: thousand and five, I actually had just been beaten badly 377 00:19:07,080 --> 00:19:10,080 Speaker 3: by the New York Times on another story and was 378 00:19:10,160 --> 00:19:14,159 Speaker 3: a little frustrated and disappointed with myself that I had 379 00:19:14,160 --> 00:19:14,680 Speaker 3: gotten beaten. 380 00:19:14,960 --> 00:19:16,439 Speaker 2: What was the topic that you were beaten on. 381 00:19:16,600 --> 00:19:18,840 Speaker 3: Oh that's I mean, that's that's a long story. It 382 00:19:19,000 --> 00:19:22,840 Speaker 3: was about an academic economist with an unusual background that 383 00:19:23,280 --> 00:19:26,560 Speaker 3: it's it's too complicated to get into. I mean, if 384 00:19:26,640 --> 00:19:29,280 Speaker 3: you want to, we can get into it. But it's 385 00:19:29,320 --> 00:19:32,920 Speaker 3: a all right, I'll it's a long story. But anyway, 386 00:19:33,720 --> 00:19:36,200 Speaker 3: I worked on a story with a colleague in Thailand 387 00:19:36,320 --> 00:19:40,120 Speaker 3: about how there was a global housing boom going on 388 00:19:40,720 --> 00:19:45,200 Speaker 3: that was being funded by a global credit boom and 389 00:19:45,320 --> 00:19:51,520 Speaker 3: increasingly complex credit not just through banks but through more 390 00:19:51,560 --> 00:19:56,760 Speaker 3: sophisticated vehicles and sophisticated investor groups. And I quoted Robert 391 00:19:56,760 --> 00:19:59,240 Speaker 3: Schiller in it. This is in June maybe of two 392 00:19:59,280 --> 00:20:01,119 Speaker 3: thousand and five, saying this was going to end in 393 00:20:01,119 --> 00:20:04,280 Speaker 3: a global recession. So and it connected the dots on 394 00:20:04,320 --> 00:20:07,400 Speaker 3: something that was building, and it took a couple more 395 00:20:07,480 --> 00:20:11,280 Speaker 3: years for it to really develop. I did another story, 396 00:20:11,320 --> 00:20:13,560 Speaker 3: and the stories I love were the ones that were 397 00:20:13,640 --> 00:20:16,480 Speaker 3: kind of looking around corners. But I did a piece 398 00:20:16,560 --> 00:20:19,320 Speaker 3: I think it was maybe two thousand and three, two 399 00:20:19,359 --> 00:20:24,720 Speaker 3: thousand and four looking at US China trade. I had 400 00:20:24,920 --> 00:20:29,040 Speaker 3: figured out an economists had told me, you know, everyone's 401 00:20:29,040 --> 00:20:31,359 Speaker 3: talking about all these imports coming from China and how 402 00:20:31,440 --> 00:20:33,320 Speaker 3: damaging it is for the US. You should look at 403 00:20:33,320 --> 00:20:36,919 Speaker 3: what the US is exporting to China. Our exports to 404 00:20:37,000 --> 00:20:39,480 Speaker 3: China are booming, and you should do a story about. 405 00:20:39,200 --> 00:20:40,560 Speaker 2: That agriculture, right. 406 00:20:41,200 --> 00:20:44,560 Speaker 3: So I looked at what was booming, and it turned 407 00:20:44,560 --> 00:20:47,720 Speaker 3: out that our number three export in value and our 408 00:20:47,840 --> 00:20:52,160 Speaker 3: number one export in volume was trash. We were the 409 00:20:52,200 --> 00:20:56,560 Speaker 3: Saudi Arabia. Well, we were sending them recycled paper, we 410 00:20:56,560 --> 00:20:59,879 Speaker 3: were sending them recycled plastic. We were sending them recycled 411 00:21:01,000 --> 00:21:04,560 Speaker 3: and they were turning that into the boxes and containers 412 00:21:05,000 --> 00:21:09,440 Speaker 3: and packaging that all the toys and books in microwoven 413 00:21:09,600 --> 00:21:13,879 Speaker 3: microwave ovens came back in And I kind of pieced 414 00:21:13,880 --> 00:21:18,359 Speaker 3: this together and actually used a little boy's piece of 415 00:21:18,400 --> 00:21:20,760 Speaker 3: trash to tell the story I found. I went to 416 00:21:20,840 --> 00:21:26,080 Speaker 3: a recycling facility in New Jersey where I still remember 417 00:21:26,119 --> 00:21:29,320 Speaker 3: their name, the Zizarro Brothers in New Jersey. Right near 418 00:21:29,400 --> 00:21:33,800 Speaker 3: the chipping containers. They had a container of recycled paper 419 00:21:33,840 --> 00:21:36,240 Speaker 3: that was going off to China. That let me pick 420 00:21:36,280 --> 00:21:39,439 Speaker 3: through it find a little boy's homework assignment that I 421 00:21:39,480 --> 00:21:42,000 Speaker 3: made a photocopy of. I put the homework assignment back 422 00:21:42,040 --> 00:21:44,639 Speaker 3: in the container where it belonged, and I tracked the 423 00:21:44,720 --> 00:21:47,720 Speaker 3: kid down, and then I was able to track this 424 00:21:47,840 --> 00:21:52,760 Speaker 3: one boy's homework assignment from the Zizarro Brothers backwards and 425 00:21:52,800 --> 00:21:59,280 Speaker 3: then all the way to a paper newsprint facility in 426 00:21:59,400 --> 00:22:01,880 Speaker 3: China and of us this boy's homework assignment to tell 427 00:22:01,920 --> 00:22:06,399 Speaker 3: how global trade was changing the face of the economy. 428 00:22:06,960 --> 00:22:10,720 Speaker 2: Coming up, we continue our conversation with John Hilson Wrath, 429 00:22:10,960 --> 00:22:15,280 Speaker 2: former chief economics correspondent for the Wall Street Journal. Today 430 00:22:15,320 --> 00:22:21,119 Speaker 2: he runs Surpa Pinto Advisory, discussing his Wall Street Journal 431 00:22:21,160 --> 00:22:25,399 Speaker 2: experience and Surpa Pinto. I'm Barry Ridults. You're listening to 432 00:22:25,480 --> 00:22:44,360 Speaker 2: Masters in Business on Bloomberg Radio. I'm Barry Ridults. You're 433 00:22:44,400 --> 00:22:47,879 Speaker 2: listening to Masters in Business on Bloomberg Radio. My extra 434 00:22:47,920 --> 00:22:50,520 Speaker 2: special guest today is John Hilson Wrath. He is the 435 00:22:50,520 --> 00:22:54,360 Speaker 2: former chief economics correspondent for the Wall Street Journal, where 436 00:22:54,400 --> 00:22:56,960 Speaker 2: he was dubbed the Fed Whisperer for all his many 437 00:22:57,000 --> 00:23:02,600 Speaker 2: scoops on the Fed. So let's talk about that. You 438 00:23:02,640 --> 00:23:05,320 Speaker 2: were thought of as the Fed Whisperer. What does that mean? 439 00:23:05,400 --> 00:23:07,480 Speaker 2: How do you get that nickname? 440 00:23:08,000 --> 00:23:11,320 Speaker 3: Well, it's funny you ask. It actually used to really 441 00:23:11,359 --> 00:23:15,639 Speaker 3: bother me when people said that, because I thought, you know, 442 00:23:15,680 --> 00:23:17,600 Speaker 3: my feeling when I was covering the FED is it 443 00:23:17,680 --> 00:23:20,679 Speaker 3: kind of trivializes what we're trying to do here and 444 00:23:20,800 --> 00:23:24,840 Speaker 3: the hard reporting that went into getting stories out of 445 00:23:24,880 --> 00:23:30,320 Speaker 3: the institution and you know, following the journalistic mission. So 446 00:23:30,640 --> 00:23:32,960 Speaker 3: maybe I was a little righteous about being called the 447 00:23:32,960 --> 00:23:36,879 Speaker 3: FED whisperer back then. You know, Wall Street loves to 448 00:23:36,920 --> 00:23:40,399 Speaker 3: attach these kind of two word names and everything. So 449 00:23:40,440 --> 00:23:42,280 Speaker 3: when I was covering the FED, it was like the 450 00:23:42,359 --> 00:23:47,600 Speaker 3: Taper tantrum and Qui infinity, the terrifying, and the FED 451 00:23:47,720 --> 00:23:49,760 Speaker 3: pivot and you know, so for me, it was the 452 00:23:49,760 --> 00:23:53,200 Speaker 3: FED Whisperer. But you know, since I left journalism and 453 00:23:53,240 --> 00:23:55,560 Speaker 3: started my own business, now I'll use whatever I can 454 00:23:55,640 --> 00:23:57,880 Speaker 3: to my advantage. So now I'm like, yeah, you can 455 00:23:57,880 --> 00:24:00,639 Speaker 3: call me the FED whisperer. I'll take that. Back in 456 00:24:00,680 --> 00:24:01,679 Speaker 3: the day when people. 457 00:24:01,400 --> 00:24:05,159 Speaker 2: Said it, I was like, I don't think Fed whisper 458 00:24:05,320 --> 00:24:07,960 Speaker 2: is as trivial as something like do you remember the 459 00:24:08,000 --> 00:24:11,639 Speaker 2: green span briefcase indicator how thick or thin hit? It 460 00:24:11,680 --> 00:24:13,840 Speaker 2: was just a dumb thing. Yeah, I don't remember seeing 461 00:24:13,840 --> 00:24:16,240 Speaker 2: MEC started it. Somebody started it, and it was just 462 00:24:16,280 --> 00:24:19,040 Speaker 2: one of those dumb like really are we really doing this? 463 00:24:19,560 --> 00:24:21,679 Speaker 2: But you were the one that was getting all the 464 00:24:21,680 --> 00:24:26,760 Speaker 2: FED scoops that when they wanted to publicize something, they 465 00:24:26,760 --> 00:24:29,600 Speaker 2: had a variety of outlets that they would reach out to, 466 00:24:30,240 --> 00:24:33,720 Speaker 2: So ten outlets would all get the same story, but 467 00:24:33,840 --> 00:24:38,080 Speaker 2: one outlet would have a much more in depth personal detail. 468 00:24:38,840 --> 00:24:40,440 Speaker 3: Here's where we got to mystify. 469 00:24:40,520 --> 00:24:41,720 Speaker 2: So okay, so let's see. 470 00:24:42,160 --> 00:24:44,560 Speaker 3: Yeah, I mean, we could talk for a long time 471 00:24:44,600 --> 00:24:46,640 Speaker 3: about that, but I wouldn't say that that was exactly 472 00:24:46,680 --> 00:24:49,879 Speaker 3: the way it worked. So, you know, and this is 473 00:24:50,000 --> 00:24:52,000 Speaker 3: kind of why I had, you know, was a little 474 00:24:52,240 --> 00:24:55,320 Speaker 3: upity about the FED whisperer thing is it wasn't like 475 00:24:55,359 --> 00:24:58,520 Speaker 3: there was some bat phone sitting at my desk and 476 00:24:58,640 --> 00:25:00,880 Speaker 3: like the phone rang and it was like, oh yes, 477 00:25:00,960 --> 00:25:03,720 Speaker 3: Chairman Bernanky, what would you like me to say today? 478 00:25:03,800 --> 00:25:08,320 Speaker 3: There was you know, and my successor, Nick Timros is 479 00:25:08,400 --> 00:25:10,320 Speaker 3: great at this. There was a lot of reporting that 480 00:25:10,400 --> 00:25:13,399 Speaker 3: went into this work. It wasn't it wasn't like a 481 00:25:13,480 --> 00:25:16,880 Speaker 3: spoon feeding kind of process. It was a very kind 482 00:25:16,880 --> 00:25:19,080 Speaker 3: of It was a process is a keyword, and it 483 00:25:19,119 --> 00:25:25,040 Speaker 3: was dynamic and complex. So I mean, we could we 484 00:25:25,080 --> 00:25:28,400 Speaker 3: could talk in some more detail about that, But it 485 00:25:28,440 --> 00:25:30,879 Speaker 3: wasn't that it wasn't the kind of thing that well, 486 00:25:31,280 --> 00:25:34,320 Speaker 3: first of all, that they only started doing press conferences 487 00:25:34,760 --> 00:25:39,520 Speaker 3: sometime after I guess it was around it was twenty twelve, 488 00:25:39,600 --> 00:25:43,120 Speaker 3: who was posed four years? Four years into the beat, 489 00:25:43,160 --> 00:25:45,400 Speaker 3: Maybe it was twenty ten. I can't even remember anymore. 490 00:25:45,840 --> 00:25:48,240 Speaker 3: But what went into the process of writing a FED 491 00:25:48,320 --> 00:25:52,080 Speaker 3: story was like you had to do a lot of reporting, 492 00:25:52,160 --> 00:25:54,640 Speaker 3: a lot of triangulation. You had to figure out where 493 00:25:54,680 --> 00:25:57,920 Speaker 3: the debate was going inside the room and put enough 494 00:25:57,960 --> 00:26:01,080 Speaker 3: pieces of the puzzle together in order to say this 495 00:26:01,200 --> 00:26:03,280 Speaker 3: is what they're likely to do. And it was also 496 00:26:03,800 --> 00:26:06,720 Speaker 3: very important. You know, people used to say, oh, how cold, 497 00:26:07,040 --> 00:26:09,320 Speaker 3: How could his stories always be right? He's clearly being 498 00:26:09,400 --> 00:26:12,880 Speaker 3: spoon fed stuff. Well, there's like there's a reason for that, 499 00:26:12,920 --> 00:26:16,000 Speaker 3: because I didn't report stuff I didn't know. So, you know, 500 00:26:16,040 --> 00:26:17,720 Speaker 3: you had to do a lot of reporting to get 501 00:26:17,760 --> 00:26:19,199 Speaker 3: to a point where you could say, all right, this 502 00:26:19,359 --> 00:26:22,080 Speaker 3: is where they are and what they're going, and where 503 00:26:22,119 --> 00:26:24,359 Speaker 3: you could say, you know, this is what we know 504 00:26:24,520 --> 00:26:27,040 Speaker 3: about the kind of state of the debate, or how 505 00:26:27,080 --> 00:26:28,920 Speaker 3: certain you know, there were some meetings where they weren't 506 00:26:28,960 --> 00:26:31,600 Speaker 3: sure what they were doing going into it, and I 507 00:26:31,640 --> 00:26:33,760 Speaker 3: wasn't going to get over my skis on that stuff. 508 00:26:33,880 --> 00:26:37,639 Speaker 3: So it was, uh, you know, so there was reporting 509 00:26:37,680 --> 00:26:41,359 Speaker 3: that went into that, there was understanding the institution. I 510 00:26:41,440 --> 00:26:43,760 Speaker 3: became very good friends with the New York Giants Beat. 511 00:26:44,000 --> 00:26:46,439 Speaker 3: I'm a big football fan New York Giants Beat reporter 512 00:26:46,520 --> 00:26:49,399 Speaker 3: in those years, and we used to compare notes, like 513 00:26:49,480 --> 00:26:52,000 Speaker 3: I saw my job in some way similar to what 514 00:26:52,080 --> 00:26:54,439 Speaker 3: she was doing it, Like I needed to know what 515 00:26:54,640 --> 00:26:56,879 Speaker 3: was going on in the locker room right right, and 516 00:26:56,960 --> 00:26:59,040 Speaker 3: I needed to know kind of who the players were, 517 00:26:59,119 --> 00:27:02,280 Speaker 3: what the game plan were, who the trainers were, like 518 00:27:02,359 --> 00:27:05,920 Speaker 3: every angle of the locker room in order to get 519 00:27:05,920 --> 00:27:08,440 Speaker 3: a whole picture and in order to say with authority 520 00:27:08,480 --> 00:27:11,159 Speaker 3: what I thought was happening and what was going to 521 00:27:11,640 --> 00:27:14,240 Speaker 3: go on next to that. You know, by game day 522 00:27:14,440 --> 00:27:16,840 Speaker 3: was an FOMC meeting. By then I had already done 523 00:27:16,880 --> 00:27:18,800 Speaker 3: the hard reporting. It was just a matter of saying, 524 00:27:18,800 --> 00:27:20,520 Speaker 3: all right, here's what happened on the field. 525 00:27:20,720 --> 00:27:23,280 Speaker 2: FED reporting as a sports analogy. 526 00:27:23,119 --> 00:27:25,600 Speaker 3: Well, I started out as a sports writer, so yeah. 527 00:27:25,840 --> 00:27:28,720 Speaker 2: It makes perfect sense. So let's talk a little bit 528 00:27:28,760 --> 00:27:33,400 Speaker 2: about the FED today versus when you were covering them. 529 00:27:33,720 --> 00:27:36,240 Speaker 2: Now you're covering them as a researcher and an analyst, 530 00:27:36,280 --> 00:27:40,760 Speaker 2: then you're covering them as a reporter. You wrote the 531 00:27:40,800 --> 00:27:45,200 Speaker 2: era of consensus and comedy at the US Central Bank 532 00:27:45,359 --> 00:27:45,879 Speaker 2: is ending. 533 00:27:46,600 --> 00:27:51,200 Speaker 3: Explain well, So, I mean the FED is a very 534 00:27:51,240 --> 00:27:57,640 Speaker 3: consensus driven institution. When I was covering the FED back 535 00:27:57,680 --> 00:28:01,639 Speaker 3: in the financial cris period two thousand and eight two 536 00:28:01,680 --> 00:28:04,560 Speaker 3: thousand and nine, there was actually a lot of disagreement 537 00:28:04,640 --> 00:28:08,240 Speaker 3: at the time. The disagreement was internal and mostly in 538 00:28:08,280 --> 00:28:11,000 Speaker 3: the regional Fed banks. So I actually spent a lot 539 00:28:11,040 --> 00:28:14,399 Speaker 3: of time talking to these regional Fed bank hawks to 540 00:28:14,520 --> 00:28:19,000 Speaker 3: understand what their case was against programs like QWE and 541 00:28:19,080 --> 00:28:23,920 Speaker 3: interest rate cuts and things like that repression, and there 542 00:28:24,119 --> 00:28:27,159 Speaker 3: were a lot of unknowns, for sure, there were a 543 00:28:27,200 --> 00:28:31,239 Speaker 3: lot of unknowns. So and bernanky and yelling, and then 544 00:28:31,320 --> 00:28:34,120 Speaker 3: Powell spent a lot of time trying to building processes 545 00:28:34,160 --> 00:28:38,800 Speaker 3: to build consensus around their decisions. What's happening now is 546 00:28:39,320 --> 00:28:43,360 Speaker 3: is it's the disagreement and division is politically driven, right, 547 00:28:43,480 --> 00:28:48,120 Speaker 3: we all know that. But what the President has a 548 00:28:48,120 --> 00:28:50,800 Speaker 3: clear view of where he wants interest rates going. He 549 00:28:50,840 --> 00:28:55,800 Speaker 3: wants all interest rates going down. It's I'm afraid a 550 00:28:55,800 --> 00:28:58,880 Speaker 3: little more complicated than what he perhaps thinks he's going 551 00:28:58,920 --> 00:29:01,240 Speaker 3: to get out of that because he might cut short 552 00:29:01,280 --> 00:29:03,920 Speaker 3: term interest rates and get higher long term interest rates, which. 553 00:29:03,800 --> 00:29:05,160 Speaker 2: Which happened very recently. 554 00:29:06,000 --> 00:29:09,160 Speaker 3: It happened with the FEDS cuts last year. And so 555 00:29:09,400 --> 00:29:12,160 Speaker 3: you know, he's putting on people in the institution who 556 00:29:12,200 --> 00:29:14,200 Speaker 3: were you know he expects to be loyal to him. 557 00:29:14,240 --> 00:29:18,600 Speaker 3: Stephen Miron is the latest. So we're and there's a 558 00:29:18,640 --> 00:29:21,760 Speaker 3: lot at stake, and there's turnover happening at the FED 559 00:29:21,840 --> 00:29:24,200 Speaker 3: right now. We all know there's going to be a 560 00:29:24,240 --> 00:29:28,120 Speaker 3: new chairman appointed by the President next year. There are 561 00:29:28,200 --> 00:29:31,240 Speaker 3: tests of loyalty. The really big issue is if the 562 00:29:31,280 --> 00:29:34,880 Speaker 3: president gets four people who are loyal or even closely 563 00:29:34,960 --> 00:29:38,000 Speaker 3: loyal to his views, he has an opportunity to remake 564 00:29:38,040 --> 00:29:41,560 Speaker 3: the entire system because with a majority on the FED 565 00:29:41,640 --> 00:29:45,080 Speaker 3: Board there are seven Board governors. With a majority of 566 00:29:45,120 --> 00:29:49,000 Speaker 3: four on the FED Board, then the Board can start 567 00:29:49,080 --> 00:29:52,680 Speaker 3: firing and restructuring the regional banks that might oppose some 568 00:29:52,720 --> 00:29:57,320 Speaker 3: of the policies that the President wants to pursue. So 569 00:29:57,360 --> 00:30:00,720 Speaker 3: there's a lot of stake right now. Two levels, one 570 00:30:00,760 --> 00:30:03,800 Speaker 3: with the succession of j. Powell and two with the 571 00:30:03,840 --> 00:30:06,560 Speaker 3: construction of who the other governors are going to be 572 00:30:06,640 --> 00:30:09,080 Speaker 3: on the FED board and how loyal they'll be to 573 00:30:09,160 --> 00:30:12,040 Speaker 3: the President's vision of how monetary policy should be running 574 00:30:12,040 --> 00:30:12,240 Speaker 3: the end. 575 00:30:12,640 --> 00:30:15,120 Speaker 2: So let's talk about that. You wrote a piece early 576 00:30:15,200 --> 00:30:18,880 Speaker 2: in the summer of twenty twenty five, the fourth seat, 577 00:30:19,560 --> 00:30:23,360 Speaker 2: meaning once the President gets a hold of that fourth seat, 578 00:30:23,760 --> 00:30:29,000 Speaker 2: he is essentially running the supposedly independent FED. Tell us 579 00:30:29,040 --> 00:30:31,720 Speaker 2: a little bit about that, and we'll eventually talk about 580 00:30:31,760 --> 00:30:36,280 Speaker 2: Lisa Cook. Yeah, and what this pretense firing really looks 581 00:30:36,320 --> 00:30:38,520 Speaker 2: like an attempts to get an early grib at that 582 00:30:38,600 --> 00:30:39,120 Speaker 2: fourth seat. 583 00:30:39,200 --> 00:30:41,120 Speaker 3: Yeah, and I'm actually going to go straight into Lisa 584 00:30:41,160 --> 00:30:45,560 Speaker 3: Cook in a moment. But so there's the President appointed 585 00:30:45,640 --> 00:30:48,240 Speaker 3: Chris Waller, he's a FED governor, he might get the 586 00:30:48,360 --> 00:30:51,800 Speaker 3: chairman's job. He appointed Michelle Bowman. These were in his 587 00:30:51,840 --> 00:30:56,120 Speaker 3: first terms, and she was given a promotion to Vice 588 00:30:56,160 --> 00:31:02,440 Speaker 3: sheriff supervision. He's now appointed Stephen Miron, who's made the 589 00:31:02,440 --> 00:31:05,360 Speaker 3: President's case for much lower interest rates just last week. 590 00:31:05,840 --> 00:31:09,560 Speaker 3: And so he's in theory one set away from having 591 00:31:09,640 --> 00:31:12,160 Speaker 3: four governors and a majority on the board and an 592 00:31:12,240 --> 00:31:14,680 Speaker 3: opportunity to move the FED in a whole new direction 593 00:31:15,440 --> 00:31:18,720 Speaker 3: and what's happened. It looked like that fourth governor job 594 00:31:18,840 --> 00:31:22,560 Speaker 3: might be j Powell's job next year when his chairmanship ends. 595 00:31:22,960 --> 00:31:27,160 Speaker 3: But what happened is now, and this gets a little complicated, 596 00:31:27,400 --> 00:31:35,120 Speaker 3: But the chair of the FHFA is accusing the Federal 597 00:31:35,160 --> 00:31:40,760 Speaker 3: Home Finance Administration or agency is accusing Lisa Cook, another 598 00:31:40,840 --> 00:31:45,880 Speaker 3: FED governor, of fraud and mortgage applications that she submitted 599 00:31:45,920 --> 00:31:48,760 Speaker 3: to her banks in twenty twenty one. It's an unproven allegation, 600 00:31:49,160 --> 00:31:53,000 Speaker 3: but if they're trying to remove her for costs, the 601 00:31:53,040 --> 00:31:56,920 Speaker 3: President has effectively announced that he's firing her for cause, 602 00:31:56,960 --> 00:31:59,240 Speaker 3: and she's challenging that it could be in the Supreme Court. 603 00:31:59,520 --> 00:32:04,160 Speaker 2: Now there's a whole concept of FED independence, and the 604 00:32:04,200 --> 00:32:08,160 Speaker 2: FED board can fire someone from cause. There doesn't seem 605 00:32:08,200 --> 00:32:12,400 Speaker 2: to be any precedent for the president fire. Let's hold 606 00:32:12,440 --> 00:32:15,440 Speaker 2: aside of fact. Wink wik nudge, nudge. We all know 607 00:32:15,600 --> 00:32:19,200 Speaker 2: that this mortgage thing is nonsense and it's just a pretense. 608 00:32:19,640 --> 00:32:24,520 Speaker 2: Let's just hold that aside. We're talking about governmental power. 609 00:32:25,200 --> 00:32:28,640 Speaker 2: Who has the power to hire and fire FED government? 610 00:32:29,000 --> 00:32:31,960 Speaker 3: The President has power the power to fire a FED 611 00:32:32,000 --> 00:32:36,120 Speaker 3: governor for cause. Then we get to it hasn't happened. 612 00:32:36,240 --> 00:32:38,960 Speaker 3: No president has tried. But then you get to our 613 00:32:39,040 --> 00:32:42,680 Speaker 3: question was of well, how A, how do you define cause? 614 00:32:43,280 --> 00:32:46,480 Speaker 3: And b what is the what is the process for 615 00:32:47,120 --> 00:32:50,520 Speaker 3: defining cause? And then going through the process of firing 616 00:32:50,560 --> 00:32:52,960 Speaker 3: a FED governor. This is all on chartered ground, and 617 00:32:53,000 --> 00:32:56,520 Speaker 3: it's moving to the Supreme Court to make some decisions. Now, 618 00:32:56,640 --> 00:32:59,080 Speaker 3: there are a whole other set of decisions the Supreme 619 00:32:59,120 --> 00:33:01,920 Speaker 3: Court has made where it has found that the president 620 00:33:02,000 --> 00:33:05,520 Speaker 3: can fire heads of other agencies at his discretion. And 621 00:33:05,600 --> 00:33:09,000 Speaker 3: one of the questions is whether firing a FED official 622 00:33:09,080 --> 00:33:12,360 Speaker 3: for cause is held to a higher standard than you know, 623 00:33:12,560 --> 00:33:17,200 Speaker 3: firing a participant in the National Labor Relations Board, and 624 00:33:17,400 --> 00:33:21,000 Speaker 3: the Supreme Court for reasons I can't say I fully understand, 625 00:33:21,400 --> 00:33:23,960 Speaker 3: seems to be ready to draw a circle around the FED. 626 00:33:24,000 --> 00:33:26,280 Speaker 3: But there are big questions of how do you define 627 00:33:26,320 --> 00:33:30,280 Speaker 3: cause and what's the process, And we don't know where 628 00:33:30,280 --> 00:33:31,520 Speaker 3: they're going to go with it. They need to kick 629 00:33:31,560 --> 00:33:31,840 Speaker 3: it back. 630 00:33:32,560 --> 00:33:36,400 Speaker 2: It's not just putting out something on social on any 631 00:33:36,440 --> 00:33:39,200 Speaker 2: social media order. You actually have to have a process. 632 00:33:40,080 --> 00:33:42,920 Speaker 3: Well, I don't know. I mean, the Supreme Court might 633 00:33:43,000 --> 00:33:46,320 Speaker 3: decide that the president can do it at his discretion 634 00:33:46,600 --> 00:33:47,360 Speaker 3: on X. 635 00:33:47,480 --> 00:33:50,440 Speaker 5: So if it's that discretion as but but then what 636 00:33:50,600 --> 00:33:54,440 Speaker 5: is Lisa Cook's argument is that, well, so there's a 637 00:33:54,440 --> 00:33:57,280 Speaker 5: definition of for a cause, and I don't have the 638 00:33:57,320 --> 00:33:59,600 Speaker 5: specific language in front of me, but it has to 639 00:33:59,640 --> 00:34:04,280 Speaker 5: be for discreet malfeasance or neglect. 640 00:34:03,920 --> 00:34:06,600 Speaker 3: On the job. And one of her one of her 641 00:34:08,320 --> 00:34:11,000 Speaker 3: defenses is that he isn't accusing me of doing anything 642 00:34:11,000 --> 00:34:15,040 Speaker 3: wrong on the job. These were applications I submitted years ago, 643 00:34:15,600 --> 00:34:17,839 Speaker 3: or and but then there's some fuzzy language that you know, 644 00:34:18,280 --> 00:34:21,879 Speaker 3: or or the like or something to that effect. And 645 00:34:21,960 --> 00:34:24,880 Speaker 3: so there's a question of whether there's enough gray area 646 00:34:25,040 --> 00:34:28,960 Speaker 3: for the president to define what fore cause means on 647 00:34:29,040 --> 00:34:32,239 Speaker 3: the first two things of you know, you know, malfeasance 648 00:34:32,280 --> 00:34:33,960 Speaker 3: on the job or neglect on the job, they don't 649 00:34:33,960 --> 00:34:36,640 Speaker 3: seem to hold up. But there's some gray area on 650 00:34:36,680 --> 00:34:39,280 Speaker 3: the third piece of that, you know, And that's that's 651 00:34:39,400 --> 00:34:41,919 Speaker 3: kind of legal precedent that's been said over many years. 652 00:34:42,040 --> 00:34:46,080 Speaker 2: It's fascinating because the government, when they were defending the 653 00:34:46,120 --> 00:34:51,719 Speaker 2: tariffs kinda said, well, AIPA says emergency, they don't say 654 00:34:51,760 --> 00:34:55,320 Speaker 2: anything about tariffs. What's an emergency? In the government's position 655 00:34:55,600 --> 00:34:58,839 Speaker 2: was whatever the President says it is. Yeah, all these 656 00:34:58,920 --> 00:35:03,600 Speaker 2: words that uretically have actual meaning. Once you start saying 657 00:35:03,719 --> 00:35:08,600 Speaker 2: it's subjective at the president's discretion four cause emergency, things 658 00:35:08,640 --> 00:35:10,840 Speaker 2: like that go out the window. It's going to be 659 00:35:10,880 --> 00:35:15,440 Speaker 2: interesting to see if the Supreme Court contorts themselves to 660 00:35:15,520 --> 00:35:19,520 Speaker 2: acquiesce to the president or follows what we think of 661 00:35:19,560 --> 00:35:21,880 Speaker 2: as traditional legal theory. 662 00:35:22,320 --> 00:35:27,200 Speaker 3: It's another big year court for sure. And I mean, 663 00:35:27,200 --> 00:35:29,960 Speaker 3: if you want to get really philosophical and pull the 664 00:35:30,040 --> 00:35:32,359 Speaker 3: lens way back, I mean, I personally think we're living 665 00:35:32,400 --> 00:35:36,640 Speaker 3: through revolutionary times kin to the French Revolution in the 666 00:35:36,640 --> 00:35:40,200 Speaker 3: American Revolution. And one of the things we know is 667 00:35:40,200 --> 00:35:44,600 Speaker 3: that in revolutionary times, standards and norms get thrown into 668 00:35:44,640 --> 00:35:46,800 Speaker 3: the air and redefined. 669 00:35:46,920 --> 00:35:51,520 Speaker 2: Which can first, Did did the throwing of the norms 670 00:35:51,640 --> 00:35:57,240 Speaker 2: away lead to the revolution? Or was the revolutionary set 671 00:35:57,320 --> 00:36:01,000 Speaker 2: up in place and norm are just collateral. 672 00:36:01,120 --> 00:36:04,239 Speaker 3: The revolution has been building for years. And I'll take 673 00:36:04,280 --> 00:36:06,080 Speaker 3: this back to my FED beat. It's a little off 674 00:36:06,080 --> 00:36:10,000 Speaker 3: the subject, but when I was covering the FED by 675 00:36:10,040 --> 00:36:14,640 Speaker 3: twenty thirteen twenty fourteen, I was regularly getting emails from 676 00:36:14,800 --> 00:36:18,359 Speaker 3: really angry readers who saw the FED as being at 677 00:36:18,360 --> 00:36:23,320 Speaker 3: the center of America's problems an example of an elite 678 00:36:23,719 --> 00:36:28,799 Speaker 3: Wall Street institution hurting the little guy in favor of 679 00:36:28,920 --> 00:36:33,719 Speaker 3: rich guys, an insiders game. And they saw me as 680 00:36:33,760 --> 00:36:37,000 Speaker 3: a reporter at the Wall Street covering the institution theater 681 00:36:37,120 --> 00:36:40,879 Speaker 3: as yeah as carrying their water. And I routinely got 682 00:36:40,920 --> 00:36:44,360 Speaker 3: emails from people saying there's a revolution coming, and like 683 00:36:44,400 --> 00:36:47,080 Speaker 3: they told me and like as a warning, they said, 684 00:36:47,080 --> 00:36:51,239 Speaker 3: there's a revolution coming, and when we come, you're going 685 00:36:51,280 --> 00:36:54,240 Speaker 3: to be one of the people we string up on 686 00:36:54,239 --> 00:36:59,000 Speaker 3: on you know, on pitchforks, on pitchforks they were, they 687 00:36:59,160 --> 00:37:02,120 Speaker 3: used injury of the French Revolution. I was seeing this 688 00:37:02,200 --> 00:37:05,160 Speaker 3: back in twenty fourteen. It actually led me to write 689 00:37:05,160 --> 00:37:07,720 Speaker 3: a series of collection of stories with actually the most 690 00:37:07,760 --> 00:37:11,799 Speaker 3: prolific Wall Street Journal Page one reporter of all time, 691 00:37:11,840 --> 00:37:15,160 Speaker 3: a guy named Bob Davis, about the economic roots of 692 00:37:15,160 --> 00:37:18,359 Speaker 3: what we call the economic roots of political discontent by 693 00:37:18,440 --> 00:37:21,880 Speaker 3: twenty sixteen. By twenty fifteen, like I was getting death threats, 694 00:37:21,880 --> 00:37:24,799 Speaker 3: and we saw that there was like something going on 695 00:37:24,960 --> 00:37:27,520 Speaker 3: in the country that was kind of deeper than your 696 00:37:27,640 --> 00:37:31,239 Speaker 3: normally agitated reporter, And so we went out and wrote 697 00:37:31,239 --> 00:37:34,879 Speaker 3: a bunch of stories called The Great unraveling in twenty 698 00:37:34,920 --> 00:37:37,719 Speaker 3: six I recall that I recalled that it was all 699 00:37:37,800 --> 00:37:39,959 Speaker 3: about how kind of trade had gone the wrong way 700 00:37:40,000 --> 00:37:43,759 Speaker 3: for many Americans, how finance had gone the wrong way 701 00:37:43,840 --> 00:37:47,400 Speaker 3: for many Americans, and technology, and that people were angry 702 00:37:47,480 --> 00:37:50,319 Speaker 3: and they were angry at the elites. And so to 703 00:37:50,360 --> 00:37:54,120 Speaker 3: answer your question, the revolution started a long time ago, 704 00:37:54,400 --> 00:37:57,880 Speaker 3: and I think we're pretty well into it. And you know, 705 00:37:58,000 --> 00:38:00,680 Speaker 3: I think a lot of this revolution has been and 706 00:38:01,000 --> 00:38:05,480 Speaker 3: you know, we have digital guillotines now right where like 707 00:38:06,160 --> 00:38:11,520 Speaker 3: where we'll cut off your head by your reputation. But 708 00:38:11,719 --> 00:38:17,000 Speaker 3: sadly and disturbingly, it's now getting somewhat bloody. 709 00:38:17,440 --> 00:38:19,319 Speaker 2: Yeah, no, to say the very least. You know, it's 710 00:38:19,400 --> 00:38:24,480 Speaker 2: kind of fascinating. When I was writing Bailout Nation, one 711 00:38:24,480 --> 00:38:26,319 Speaker 2: of the things that kept coming up when you look 712 00:38:26,320 --> 00:38:32,319 Speaker 2: at the history of who is Treasury secretary, they seem 713 00:38:32,400 --> 00:38:35,839 Speaker 2: to be pulled, pulled from two different groups. They were 714 00:38:35,840 --> 00:38:39,000 Speaker 2: either pulled from Wall Street and banking, or they were 715 00:38:39,160 --> 00:38:44,279 Speaker 2: pulled from manufacturing and industry. And throughout history, if you 716 00:38:44,400 --> 00:38:48,919 Speaker 2: had an industrialist as Treasury secretary when things hit the fan, 717 00:38:49,160 --> 00:38:50,759 Speaker 2: well a whole bunch of banks are going to have 718 00:38:50,800 --> 00:38:55,640 Speaker 2: to go under sorry, flip that when you have someone 719 00:38:55,680 --> 00:38:58,920 Speaker 2: from Wall Street, well, then we're going to rescue the banks. 720 00:38:59,080 --> 00:39:04,240 Speaker 2: And ironically, I don't disagree with anything you said about 721 00:39:05,280 --> 00:39:08,759 Speaker 2: the history. I think some of the anger is misplaced 722 00:39:09,520 --> 00:39:13,439 Speaker 2: because it wasn't the FED basically stepped in when Congress 723 00:39:13,800 --> 00:39:16,160 Speaker 2: threw their hands up and said, we can't do anything. 724 00:39:16,239 --> 00:39:19,520 Speaker 3: Oh and it was a financial crisis, right. It is 725 00:39:19,560 --> 00:39:22,799 Speaker 3: the lender of last resort, right, it's their role. 726 00:39:22,840 --> 00:39:24,239 Speaker 2: They were supposed to do that. 727 00:39:24,239 --> 00:39:26,080 Speaker 3: That's where they were creating in nineteen thirteen. 728 00:39:26,320 --> 00:39:30,759 Speaker 2: That's right. What didn't happen during a normal financial crisis 729 00:39:31,320 --> 00:39:36,600 Speaker 2: is fiscal stimulus along with monetary stimulus. Monetary stimulus benefits 730 00:39:36,640 --> 00:39:39,720 Speaker 2: the holders of capital. You on stocks, bonds, real estate 731 00:39:40,320 --> 00:39:43,600 Speaker 2: rates go down, you do great. When the government does 732 00:39:43,600 --> 00:39:45,920 Speaker 2: a big fiscal stimulus that tends to land on the 733 00:39:45,960 --> 00:39:50,240 Speaker 2: middle class. Hey, we're going to build an interstate commerce system, 734 00:39:50,280 --> 00:39:55,160 Speaker 2: an interstate highway system. We're gonna you know, create weaponized 735 00:39:55,239 --> 00:40:00,600 Speaker 2: kingsingism and build up defense. That tended in pass to 736 00:40:00,640 --> 00:40:03,880 Speaker 2: find its way to the middle class. What happened in 737 00:40:03,880 --> 00:40:07,560 Speaker 2: the twenty tens were you had all that monetary stimulus, 738 00:40:07,719 --> 00:40:12,040 Speaker 2: very little fiscal stimulus at least until the pandemic, and 739 00:40:12,080 --> 00:40:15,319 Speaker 2: for a brief period of time it looked like the 740 00:40:15,320 --> 00:40:16,719 Speaker 2: middle class was bought off. 741 00:40:16,920 --> 00:40:19,120 Speaker 3: Yeah, well, there's I mean, there's a lot of economics 742 00:40:19,120 --> 00:40:21,719 Speaker 3: in history here. What I'll say is, I agree with you. 743 00:40:22,480 --> 00:40:26,480 Speaker 3: We got fiscal policy exactly one hundred and eighty degrees 744 00:40:26,520 --> 00:40:30,319 Speaker 3: wrong after the financial crisis, in the sense that what 745 00:40:30,360 --> 00:40:33,359 Speaker 3: we needed was and there was some fiscal stimulus right 746 00:40:33,400 --> 00:40:36,400 Speaker 3: after the fact, but it wasn't sustained. We went, you know, 747 00:40:36,440 --> 00:40:39,839 Speaker 3: we went to fiscal austerity within a year or two. 748 00:40:40,200 --> 00:40:43,520 Speaker 3: What we needed was short term stimulus, right and long 749 00:40:43,680 --> 00:40:49,120 Speaker 3: term fiscal austerity in order to get the budget under control. 750 00:40:49,360 --> 00:40:52,920 Speaker 3: And what they did was short term austerity and nothing 751 00:40:52,960 --> 00:40:56,799 Speaker 3: about the long term. And I'm still waiting, by the way, 752 00:40:56,840 --> 00:40:59,240 Speaker 3: for the bond market to recognize this, and it doesn't 753 00:40:59,239 --> 00:40:59,920 Speaker 3: seem to do that. 754 00:41:00,719 --> 00:41:05,719 Speaker 2: It's kind of fascinating that the bond vigilantes. I keep 755 00:41:05,719 --> 00:41:08,040 Speaker 2: hearing those names come up, and they don't really seem 756 00:41:08,080 --> 00:41:09,080 Speaker 2: to exist anymore. 757 00:41:09,120 --> 00:41:11,400 Speaker 3: They seem to flutter their eyes and wake up and 758 00:41:11,400 --> 00:41:12,520 Speaker 3: then go back to sleep again. 759 00:41:13,480 --> 00:41:15,800 Speaker 2: I have a pet theory that there's just a shortage 760 00:41:15,840 --> 00:41:21,680 Speaker 2: of quality sovereign paper and so even a damaged, high 761 00:41:21,719 --> 00:41:23,840 Speaker 2: debt United States is still going to make good on 762 00:41:23,920 --> 00:41:24,440 Speaker 2: its debts. 763 00:41:24,760 --> 00:41:26,719 Speaker 3: So they're still appetite, right, And I think that helps 764 00:41:26,760 --> 00:41:29,400 Speaker 3: you explain why spreads are so tight right now, because 765 00:41:29,520 --> 00:41:31,319 Speaker 3: people will buy whatever paper they can. 766 00:41:31,239 --> 00:41:33,200 Speaker 2: Get, right, right, absolutely true. 767 00:41:33,239 --> 00:41:35,800 Speaker 3: Hey, I know that you have a bunch more things 768 00:41:35,840 --> 00:41:37,920 Speaker 3: you want to ask about the FED. Can I you 769 00:41:37,920 --> 00:41:41,480 Speaker 3: were asking a few minutes ago about the about covering 770 00:41:41,480 --> 00:41:43,719 Speaker 3: the fat and being the Fed whisper right and being 771 00:41:44,600 --> 00:41:45,879 Speaker 3: spoon fed so to speak. 772 00:41:46,120 --> 00:41:49,640 Speaker 2: Right, You didn't know no shoe leather, no heavy research, 773 00:41:49,760 --> 00:41:53,520 Speaker 2: no investigative jenneralism. They just handed you your stories. 774 00:41:53,840 --> 00:41:55,520 Speaker 3: And I pushed back, and see, there's a lot there's 775 00:41:55,560 --> 00:41:58,359 Speaker 3: a lot of there's a lot of reporting that went 776 00:41:58,360 --> 00:42:00,640 Speaker 3: into those stories. I just wanted to I don't know 777 00:42:00,640 --> 00:42:02,520 Speaker 3: if this was among the things he wanted to ask, 778 00:42:02,560 --> 00:42:05,000 Speaker 3: but I just wanted to describe, for a second, like 779 00:42:05,080 --> 00:42:09,960 Speaker 3: what my mentality was about, like what my job was, right. So, 780 00:42:10,120 --> 00:42:13,200 Speaker 3: and I used to preach this to colleagues all the time. 781 00:42:13,280 --> 00:42:15,680 Speaker 3: As a beat reporter, I felt like this is really 782 00:42:15,680 --> 00:42:19,759 Speaker 3: important to me. I had three responsibilities. One responsibility was 783 00:42:19,760 --> 00:42:23,040 Speaker 3: to break stories, right, that was those Fed scoops, and 784 00:42:23,120 --> 00:42:25,640 Speaker 3: it mattered. You know, if people were going to pay 785 00:42:26,560 --> 00:42:29,200 Speaker 3: to subscribe to the Walls regional all, they want something 786 00:42:29,239 --> 00:42:32,239 Speaker 3: different in there. The other responsibility I had was to 787 00:42:32,320 --> 00:42:35,080 Speaker 3: explain a complicated world. There were a lot of complicated 788 00:42:35,120 --> 00:42:38,000 Speaker 3: things going on when I was covering the FED with 789 00:42:38,520 --> 00:42:41,320 Speaker 3: QI and zero interest rates, and I had to understand 790 00:42:41,360 --> 00:42:43,680 Speaker 3: it and try to explain it to people. But then 791 00:42:43,760 --> 00:42:48,520 Speaker 3: the third piece was holding powerful people and institutions accountable. 792 00:42:49,160 --> 00:42:52,440 Speaker 3: And you know, I think that from the outside, maybe 793 00:42:52,480 --> 00:42:54,600 Speaker 3: people would look at this and say, oh, he's getting 794 00:42:54,640 --> 00:42:58,080 Speaker 3: spoon fed these scoops and he's pulling his punches. He's 795 00:42:58,120 --> 00:43:00,480 Speaker 3: not holding them accountable. But that third part was important 796 00:43:00,480 --> 00:43:02,520 Speaker 3: to me, and I mean, I'd be happy to talk 797 00:43:02,520 --> 00:43:06,480 Speaker 3: about stuff that we did on that front. And you 798 00:43:06,480 --> 00:43:09,440 Speaker 3: know what we did to try to hold the FED account. 799 00:43:09,160 --> 00:43:10,160 Speaker 2: Well, let's zoom in. 800 00:43:10,360 --> 00:43:12,560 Speaker 3: And there's also the sense that those that those two 801 00:43:12,600 --> 00:43:15,120 Speaker 3: things are in conflict right that well, you know, if 802 00:43:15,160 --> 00:43:16,920 Speaker 3: you're holding their feet to the fire, they're not going 803 00:43:17,000 --> 00:43:18,560 Speaker 3: to you know, they're not going to give you the 804 00:43:18,600 --> 00:43:20,960 Speaker 3: next scoop. And my response is, first of all, they 805 00:43:20,960 --> 00:43:23,640 Speaker 3: weren't spoon feeding these scoops. I had to work to 806 00:43:23,680 --> 00:43:26,840 Speaker 3: get the information and put them in positions where they 807 00:43:26,880 --> 00:43:30,239 Speaker 3: would tell me things that didn't happen by accident. I 808 00:43:30,239 --> 00:43:35,400 Speaker 3: had to leverage information how I could. But also, you know, 809 00:43:35,520 --> 00:43:38,279 Speaker 3: I had a responsibility to do the accountability stuff, and 810 00:43:38,320 --> 00:43:40,919 Speaker 3: I couldn't, let you know, fear get in my way 811 00:43:40,960 --> 00:43:42,880 Speaker 3: of doing that that it was going to undermine. And 812 00:43:43,200 --> 00:43:45,239 Speaker 3: you know, there were times when I made them uncomfortable 813 00:43:45,239 --> 00:43:46,239 Speaker 3: and I just had to do that. 814 00:43:46,320 --> 00:43:49,600 Speaker 2: So let's let's zoom out and take like a ten 815 00:43:49,640 --> 00:43:54,640 Speaker 2: thousand foot view. A FED chair has a story he 816 00:43:54,719 --> 00:43:58,520 Speaker 2: wants to inform the market of. And that's always been 817 00:43:58,600 --> 00:44:01,360 Speaker 2: my thought process. When the FED is communicating, it's not 818 00:44:01,440 --> 00:44:04,799 Speaker 2: about image or pr They want the market to do 819 00:44:04,880 --> 00:44:08,160 Speaker 2: some of their work for them, or at least not 820 00:44:08,320 --> 00:44:11,719 Speaker 2: shock or surprise the market. They want the market to 821 00:44:12,400 --> 00:44:17,160 Speaker 2: understand what's coming and be prepared for it. So how 822 00:44:17,200 --> 00:44:22,920 Speaker 2: would a BERNANKI or yelling go about communicating, Hey, you 823 00:44:22,960 --> 00:44:27,560 Speaker 2: guys don't understand there are after you left in twenty 824 00:44:27,640 --> 00:44:30,560 Speaker 2: twenty two, there was a bunch of increases coming. But 825 00:44:30,719 --> 00:44:34,239 Speaker 2: let's stick with the twenty tens. Hey rates are going 826 00:44:34,320 --> 00:44:36,319 Speaker 2: to are low and they're going to stay low for 827 00:44:36,440 --> 00:44:40,000 Speaker 2: the next for the foreseeable future. How does that get 828 00:44:40,440 --> 00:44:43,840 Speaker 2: disseminated out to the public and then to the bond 829 00:44:43,880 --> 00:44:48,680 Speaker 2: traders so that the street knows what's coming up next? 830 00:44:48,840 --> 00:44:49,000 Speaker 4: Right? 831 00:44:49,200 --> 00:44:51,120 Speaker 3: Yeah, Okay, So there are a lot of pieces to this. 832 00:44:51,239 --> 00:44:54,760 Speaker 3: The first one is you're right, there are two really 833 00:44:54,760 --> 00:44:58,680 Speaker 3: important imperatives from their perspective, especially in the twenty tens, 834 00:44:59,160 --> 00:45:02,040 Speaker 3: because the interest rate had gotten to zero. What they 835 00:45:02,080 --> 00:45:05,000 Speaker 3: realized was the only way they're going to like affect 836 00:45:05,040 --> 00:45:08,520 Speaker 3: financial conditions in a way that helps the economy is 837 00:45:08,760 --> 00:45:11,080 Speaker 3: if they convince the markets that they're going to keep 838 00:45:11,120 --> 00:45:13,680 Speaker 3: interest rates really low for a long time, then you 839 00:45:13,760 --> 00:45:18,279 Speaker 3: get long term rates down in addition, and so projecting 840 00:45:18,360 --> 00:45:21,799 Speaker 3: a stance of dubbishness for a long time became part 841 00:45:21,840 --> 00:45:24,359 Speaker 3: of the mission, right, And that was part of what 842 00:45:24,400 --> 00:45:27,759 Speaker 3: they wanted to do to influence the economy and financial conditions. 843 00:45:27,840 --> 00:45:30,640 Speaker 3: But then the other thing, as you said, is they 844 00:45:30,680 --> 00:45:33,080 Speaker 3: don't want to freak the markets out because that causes 845 00:45:33,120 --> 00:45:36,480 Speaker 3: in their mind, unnecessary turbulence that can be really damaging, 846 00:45:36,960 --> 00:45:41,040 Speaker 3: and they're still haunted to this day. By nineteen ninety four, 847 00:45:41,680 --> 00:45:44,960 Speaker 3: when Greenspan raised rates i think by three quarters of 848 00:45:45,000 --> 00:45:47,719 Speaker 3: a point and the market started pricing in a succession 849 00:45:47,719 --> 00:45:50,640 Speaker 3: of three quarter point increases, and then the next thing, 850 00:45:50,680 --> 00:45:54,279 Speaker 3: you know, Orange County, California blew up, in Mexico blew up, right, 851 00:45:54,719 --> 00:45:59,600 Speaker 3: So like they want their view of the world to 852 00:45:59,600 --> 00:46:01,520 Speaker 3: be under stood, and they do a lot of different 853 00:46:01,520 --> 00:46:05,319 Speaker 3: things along those lines. They give speeches. They've become more 854 00:46:05,360 --> 00:46:07,640 Speaker 3: you know, back in the early nineties when I started 855 00:46:07,680 --> 00:46:10,440 Speaker 3: on this beat, the FED didn't tell anybody anything. 856 00:46:10,520 --> 00:46:13,960 Speaker 2: Right there, It's so funny, I've told people this. You 857 00:46:14,000 --> 00:46:16,680 Speaker 2: get an announcement, we've raised rates. The only way you 858 00:46:16,719 --> 00:46:19,280 Speaker 2: knew the Fed did something was from the open market 859 00:46:19,280 --> 00:46:21,880 Speaker 2: activity in the bond market. Oh, the Fed must have 860 00:46:21,960 --> 00:46:23,200 Speaker 2: done something. What's going on? 861 00:46:23,320 --> 00:46:23,560 Speaker 1: Yeah? 862 00:46:23,680 --> 00:46:25,799 Speaker 3: Right, yeah, that was that was going to say, like 863 00:46:25,840 --> 00:46:29,080 Speaker 3: they weren't putting out announcements in nineteen eighty nine. When 864 00:46:29,120 --> 00:46:32,040 Speaker 3: they did something, you had fed watchers, that's what the 865 00:46:32,120 --> 00:46:34,920 Speaker 3: original term fed watcher, and you had people in the 866 00:46:34,960 --> 00:46:37,120 Speaker 3: markets who looked at what were going on with money 867 00:46:37,160 --> 00:46:40,480 Speaker 3: market rates and the FED injected X billion dollars and 868 00:46:40,520 --> 00:46:42,759 Speaker 3: they're like, oh, they just pushed up interest rates. And 869 00:46:42,760 --> 00:46:45,000 Speaker 3: then it took you three days to figure out if 870 00:46:45,000 --> 00:46:47,480 Speaker 3: that was their intention or an accident and then so 871 00:46:47,680 --> 00:46:50,920 Speaker 3: over a course of thirty plus years, they've become more 872 00:46:50,960 --> 00:46:53,840 Speaker 3: and more transparent, right, so they started green Span started 873 00:46:53,840 --> 00:46:56,160 Speaker 3: putting out statements. Oh and by the way, you know, 874 00:46:56,239 --> 00:46:59,960 Speaker 3: Alan Greenspan just delighted in how obscure he could be 875 00:47:00,360 --> 00:47:02,960 Speaker 3: and what he said, because he wanted to confuse people. 876 00:47:03,440 --> 00:47:05,480 Speaker 3: And they came to see over time that there was 877 00:47:05,520 --> 00:47:09,560 Speaker 3: a benefit to just being clear. So they put out statements. 878 00:47:10,440 --> 00:47:13,960 Speaker 3: They you know, they put up minutes. Obviously, they started 879 00:47:13,960 --> 00:47:19,279 Speaker 3: doing press conferences. Is there interaction between FED officials and 880 00:47:19,400 --> 00:47:23,319 Speaker 3: reporters that doesn't show up, you know, like onto, Yes, 881 00:47:23,960 --> 00:47:28,720 Speaker 3: FED officials talk to reporters on background in certain circumstances, 882 00:47:29,160 --> 00:47:31,759 Speaker 3: and so like yeah, we did talk to FED officials, 883 00:47:31,800 --> 00:47:35,360 Speaker 3: you know, not for attribution, but it was part of 884 00:47:35,400 --> 00:47:37,759 Speaker 3: a very dynamic process. When I like when I was 885 00:47:37,800 --> 00:47:41,680 Speaker 3: writing stories about for instance, Q two, stands out to 886 00:47:41,719 --> 00:47:45,000 Speaker 3: me like that was that was a situation where like 887 00:47:45,520 --> 00:47:48,919 Speaker 3: they were moving towards making a decision about Q two 888 00:47:48,960 --> 00:47:51,319 Speaker 3: over several months. It took them like six to nine 889 00:47:51,320 --> 00:47:53,560 Speaker 3: months to get there. And that was a case where 890 00:47:53,600 --> 00:47:59,000 Speaker 3: I was putting pieces very kind of I was putting 891 00:47:59,040 --> 00:48:02,360 Speaker 3: pieces of a puzzle together to be able to figure 892 00:48:02,360 --> 00:48:04,600 Speaker 3: out how they didn't even know where they were going 893 00:48:04,719 --> 00:48:06,880 Speaker 3: at the time, and so there was a lot of 894 00:48:06,880 --> 00:48:10,160 Speaker 3: reporting that had to go into understanding what was going 895 00:48:10,200 --> 00:48:13,200 Speaker 3: on behind the scenes, and which words that they used 896 00:48:13,280 --> 00:48:16,279 Speaker 3: matter mattered, and how they and how they used them. 897 00:48:16,360 --> 00:48:20,279 Speaker 2: My recollection of q E two, and this is ten 898 00:48:20,480 --> 00:48:23,960 Speaker 2: plus years ago, was I think it was before where 899 00:48:24,040 --> 00:48:28,880 Speaker 2: I even launched my own firm. We had maybe it 900 00:48:28,960 --> 00:48:33,239 Speaker 2: was a double line bond fund that was primarily mortgage back, 901 00:48:33,960 --> 00:48:36,160 Speaker 2: and it used to be ninety percent mortgage backed, and 902 00:48:36,160 --> 00:48:38,040 Speaker 2: then it was eighty percent, then it was seventy percent. 903 00:48:38,400 --> 00:48:40,719 Speaker 2: And what was going on is the FED was just 904 00:48:40,880 --> 00:48:43,719 Speaker 2: sucking up all of the mortgage back bonds out there, 905 00:48:43,840 --> 00:48:47,239 Speaker 2: yeah that the private sector had very little of it. 906 00:48:48,000 --> 00:48:52,160 Speaker 2: And eventually this went from a substantially mortgage back fund 907 00:48:52,680 --> 00:48:55,680 Speaker 2: to just another treasury fund. 908 00:48:55,840 --> 00:48:59,759 Speaker 3: And that was quey exactly what they wanted to tappen. 909 00:49:00,200 --> 00:49:02,799 Speaker 3: It's kind of crazy because it brought it took down 910 00:49:02,920 --> 00:49:07,080 Speaker 3: risk free rates they wanted. And so I don't know 911 00:49:07,120 --> 00:49:11,200 Speaker 3: if you or others and other investors in your funds decided, 912 00:49:11,200 --> 00:49:12,640 Speaker 3: all right, well, if we want to get a return, 913 00:49:12,920 --> 00:49:14,560 Speaker 3: we got to move further out on the risk card. 914 00:49:14,680 --> 00:49:16,719 Speaker 3: That was exactly what they were trying. You just you 915 00:49:16,960 --> 00:49:20,920 Speaker 3: just explained QUI to an action like the way they 916 00:49:20,920 --> 00:49:21,600 Speaker 3: wanted to do it. 917 00:49:21,880 --> 00:49:25,200 Speaker 2: And the ironic thing is the first person who said 918 00:49:25,280 --> 00:49:31,720 Speaker 2: that to me about risk capital was Jim Bianco summer 919 00:49:31,920 --> 00:49:37,120 Speaker 2: of nine in a canoe, maybe it was ten in Maine. 920 00:49:37,640 --> 00:49:39,600 Speaker 3: You're you're at the David Kotok. 921 00:49:39,200 --> 00:49:43,399 Speaker 2: That's right, And he had said the purpose of quantitative 922 00:49:43,560 --> 00:49:47,399 Speaker 2: easing is to get people out of the safe all 923 00:49:47,480 --> 00:49:51,120 Speaker 2: of the risk aversion that people developed during the financial crisis, 924 00:49:51,520 --> 00:49:54,640 Speaker 2: flooding into money market and bonds. Hey, in order for 925 00:49:54,640 --> 00:49:56,719 Speaker 2: the economy to work, we need this money to. 926 00:49:56,680 --> 00:49:59,200 Speaker 3: Move and the right of way. The purpose, this is 927 00:49:59,239 --> 00:50:01,879 Speaker 3: another thing is like I was always amused by how 928 00:50:02,080 --> 00:50:05,000 Speaker 3: like people on Wall Street reacted to stories because they 929 00:50:05,120 --> 00:50:08,200 Speaker 3: very often thought the stories were foreign about them. But 930 00:50:08,239 --> 00:50:11,799 Speaker 3: the purpose wasn't to get like the end goal wasn't 931 00:50:11,840 --> 00:50:14,200 Speaker 3: to get you guys to move out the risk curve. 932 00:50:14,440 --> 00:50:18,560 Speaker 3: It was to ease financial conditions in a way that 933 00:50:18,680 --> 00:50:21,680 Speaker 3: economic activity that was being put off for five years 934 00:50:21,680 --> 00:50:25,520 Speaker 3: from now would take place now instead. Right, it was 935 00:50:25,560 --> 00:50:29,080 Speaker 3: to get people to it was to generate economic activity 936 00:50:29,120 --> 00:50:32,440 Speaker 3: today that was being deferred because people were so underwater 937 00:50:32,600 --> 00:50:33,840 Speaker 3: or uncertain. 938 00:50:33,560 --> 00:50:37,360 Speaker 2: So it's funny to use the word underwater. I always 939 00:50:37,400 --> 00:50:42,000 Speaker 2: assumed that the way to recover from a crisis is 940 00:50:42,680 --> 00:50:46,799 Speaker 2: the mistake wasn't letting Lehman Brothers collapse. The mistake was 941 00:50:46,920 --> 00:50:50,000 Speaker 2: many more banks should have been allowed to collapse. Right, 942 00:50:50,520 --> 00:50:54,560 Speaker 2: tear the band aid off, have the government provide veteran 943 00:50:54,600 --> 00:50:58,840 Speaker 2: possession financing, so all these companies, you know, the joke was, 944 00:50:58,880 --> 00:51:02,960 Speaker 2: there's no such thing is toxic paper, only toxic prices 945 00:51:03,000 --> 00:51:06,520 Speaker 2: at the right price. These pools have bid, mortgages, had balance. 946 00:51:06,920 --> 00:51:10,640 Speaker 3: That's the age old debate in finance, right is you know, 947 00:51:10,880 --> 00:51:13,120 Speaker 3: if you bail them out, you're putting off all these 948 00:51:13,160 --> 00:51:18,000 Speaker 3: hard decisions. Basically, I remember talking to Bill Dudley about this. 949 00:51:18,160 --> 00:51:20,040 Speaker 3: But you know, basically, what you're doing is trying to 950 00:51:20,080 --> 00:51:23,120 Speaker 3: smooth smooth out the curve so that there isn't as 951 00:51:23,160 --> 00:51:27,560 Speaker 3: much damage today. You're bringing forward some activity, but by 952 00:51:27,760 --> 00:51:31,640 Speaker 3: by design, you're actually putting off some of the damage 953 00:51:31,800 --> 00:51:34,439 Speaker 3: for the future. The alternative is you tear the band 954 00:51:34,440 --> 00:51:36,160 Speaker 3: aid off, you get to the right price. But the 955 00:51:36,200 --> 00:51:38,480 Speaker 3: worry at the FED at the moment was that they 956 00:51:38,480 --> 00:51:41,960 Speaker 3: were replaying the Great Depression. And in the Great Depression, 957 00:51:42,000 --> 00:51:46,239 Speaker 3: what happened was the price didn't correct and readjust the 958 00:51:46,280 --> 00:51:52,800 Speaker 3: whole process of destruction fed on itself and it became 959 00:51:52,840 --> 00:51:55,759 Speaker 3: its own self feeding equilibrium that took a decade to 960 00:51:55,760 --> 00:51:58,239 Speaker 3: get out. And so that's the choice they made, was 961 00:51:58,280 --> 00:52:00,160 Speaker 3: that they didn't they didn't want to go down on 962 00:52:00,200 --> 00:52:04,759 Speaker 3: this path where banks start collapsing, there's no credit, Businesses 963 00:52:04,800 --> 00:52:07,560 Speaker 3: start collapsing, people get laid off, people have no money 964 00:52:07,640 --> 00:52:10,600 Speaker 3: to spend. More, banks collapse more, you know, So like 965 00:52:10,640 --> 00:52:13,360 Speaker 3: they were trying to short circuit that kind of process. 966 00:52:13,560 --> 00:52:16,279 Speaker 2: Although obviously we have the FDIC, we have all these 967 00:52:16,320 --> 00:52:19,239 Speaker 2: other structures in place to prevent. 968 00:52:19,200 --> 00:52:22,879 Speaker 3: That, but that wasn't enough. Lehman Brothers wasn't FDIC insurance, right, 969 00:52:22,920 --> 00:52:24,560 Speaker 3: And that was so here's my analogy. 970 00:52:24,680 --> 00:52:27,920 Speaker 2: But City, Chase, Wells Fargo go through all the lists. 971 00:52:28,840 --> 00:52:31,960 Speaker 2: There were plenty of banks. Chase was fine, but Wells 972 00:52:32,000 --> 00:52:35,920 Speaker 2: Fargo ran it's trouble and yeah, well but they're insured 973 00:52:36,000 --> 00:52:36,920 Speaker 2: not a bank, right. 974 00:52:36,960 --> 00:52:39,600 Speaker 3: But that's what I'm That's what I'm saying. The thing, 975 00:52:39,760 --> 00:52:43,400 Speaker 3: what they what they recognized was that they were replaying 976 00:52:43,760 --> 00:52:47,600 Speaker 3: the potentially the Great Depression, but the old story of 977 00:52:47,640 --> 00:52:51,759 Speaker 3: a bank run had been had been altered, and now 978 00:52:51,800 --> 00:52:55,960 Speaker 3: we're dealing with very exotic instruments and institutions that didn't 979 00:52:56,280 --> 00:52:59,560 Speaker 3: fall under the institutions that were that didn't fall under 980 00:52:59,640 --> 00:53:04,439 Speaker 3: the calls that were created during the Great Depression. And 981 00:53:05,000 --> 00:53:06,520 Speaker 3: you know, they were potentially going back. 982 00:53:06,520 --> 00:53:08,680 Speaker 2: So as we were speaking earlier, and it's a little 983 00:53:08,680 --> 00:53:12,960 Speaker 2: ironic they avoided the Great Depression, but sort of an 984 00:53:13,040 --> 00:53:17,280 Speaker 2: unintended consequence was they helped lead us to the French Revolution. 985 00:53:18,160 --> 00:53:20,880 Speaker 3: But yeah, yeah, in fact, you know, I remember a 986 00:53:20,920 --> 00:53:24,040 Speaker 3: conversation I had with with Bernanky way back then, where 987 00:53:24,120 --> 00:53:27,600 Speaker 3: you know, he said like he expected a populous blowback. 988 00:53:27,880 --> 00:53:30,319 Speaker 3: Really yeah, he expected it, just not as far as 989 00:53:30,320 --> 00:53:32,600 Speaker 3: it went well. I mean, I think he was surprised 990 00:53:32,600 --> 00:53:34,680 Speaker 3: by where it came from, right. I don't think he 991 00:53:34,719 --> 00:53:36,560 Speaker 3: would have expected it to have come from the right. 992 00:53:36,560 --> 00:53:40,759 Speaker 2: Well, that whole Rick Santelli, you know, tea party nonsense. 993 00:53:41,120 --> 00:53:43,520 Speaker 3: I had run in with Rick during that hotey. 994 00:53:43,640 --> 00:53:46,480 Speaker 2: I mean, wait, we're bailing out banks to the tunes 995 00:53:46,480 --> 00:53:50,200 Speaker 2: of tens of billions of dollars, but the people who 996 00:53:50,239 --> 00:53:53,480 Speaker 2: applied for mortgages, you're just gonna cut them loose. That 997 00:53:53,680 --> 00:53:56,000 Speaker 2: seemed to be what yeah. 998 00:53:55,880 --> 00:54:00,239 Speaker 3: And yeah, and there were a lot of consequences that 999 00:54:00,280 --> 00:54:03,040 Speaker 3: It's funny you mentioned Rick because Rick I went on 1000 00:54:03,120 --> 00:54:05,640 Speaker 3: with Rick on CNBC and he lectured me that I 1001 00:54:05,680 --> 00:54:09,120 Speaker 3: needed to be more opinionated in my questions at press 1002 00:54:09,160 --> 00:54:10,759 Speaker 3: conferences and reporting, like. 1003 00:54:10,800 --> 00:54:14,080 Speaker 2: You don't understand what that's not right? It's like that 1004 00:54:14,200 --> 00:54:15,279 Speaker 2: you miss you seem to think. 1005 00:54:15,680 --> 00:54:17,759 Speaker 3: I'll give you one little analogy since we're talking about 1006 00:54:18,239 --> 00:54:21,640 Speaker 3: My analogy for Ben Bernanke is imagine that you are 1007 00:54:22,719 --> 00:54:29,040 Speaker 3: a Civil War historian at at wake Forest University, and 1008 00:54:29,080 --> 00:54:32,399 Speaker 3: you're an expert on the battlefields of the Civil War. 1009 00:54:33,120 --> 00:54:36,239 Speaker 3: Actually let's call University of Virginia, because Virginia was more 1010 00:54:36,440 --> 00:54:39,840 Speaker 3: center places. And you're an expert on the artillery and 1011 00:54:39,880 --> 00:54:42,160 Speaker 3: the battlefields and the personnel, and you know everything about 1012 00:54:42,200 --> 00:54:44,040 Speaker 3: the Civil War. And then you got a job as 1013 00:54:44,040 --> 00:54:47,879 Speaker 3: a consultant at the at the Pentagon, and you did 1014 00:54:47,920 --> 00:54:50,280 Speaker 3: such a good job as a consultant at the Pentagon 1015 00:54:50,320 --> 00:54:53,520 Speaker 3: that they made you the Defense Secretary. And then a 1016 00:54:53,560 --> 00:54:56,120 Speaker 3: new Civil War broke out, but it was being fought 1017 00:54:56,200 --> 00:54:59,400 Speaker 3: with drones and laser guided miss That's what happened to 1018 00:54:59,440 --> 00:55:03,920 Speaker 3: Ben Bernanke. He was a great depression historian who knew 1019 00:55:04,000 --> 00:55:07,160 Speaker 3: about all the battles and wrote decisive histories of it. 1020 00:55:07,520 --> 00:55:09,840 Speaker 3: And then he got the job at the FED, and he, 1021 00:55:10,600 --> 00:55:12,960 Speaker 3: you know, he was fighting. He was refighting what he 1022 00:55:13,000 --> 00:55:15,919 Speaker 3: thought was a great depression moment. But he was doing 1023 00:55:16,000 --> 00:55:18,680 Speaker 3: it with these really high tech financial instruments like credit 1024 00:55:18,719 --> 00:55:24,279 Speaker 3: default swaps and credit you know, clatteralized dead obligations and 1025 00:55:24,719 --> 00:55:25,080 Speaker 3: the like. 1026 00:55:25,320 --> 00:55:30,040 Speaker 2: Coming up, we continue our conversation with John Hilsenrath, former 1027 00:55:30,080 --> 00:55:34,360 Speaker 2: Wall Street General reporter and current research advisor at Serpa 1028 00:55:34,680 --> 00:55:39,759 Speaker 2: Pinta Advisory, discussing rates, politics, and the FED. Today, I'm 1029 00:55:39,800 --> 00:55:47,359 Speaker 2: Barry Ridults. You're listening to Masters in Business on Bloomberg Radio. 1030 00:55:58,320 --> 00:56:01,799 Speaker 2: I'm Barry Ridult's. You're listening to Masters and Business on 1031 00:56:01,880 --> 00:56:06,080 Speaker 2: Bloomberg Radio, and some of you are watching us on YouTube. 1032 00:56:06,239 --> 00:56:09,799 Speaker 2: My extra special guest today John Hilson Wrath, former chief 1033 00:56:09,840 --> 00:56:13,840 Speaker 2: economics correspondent and FED whisperer for The Wall Street Journal, 1034 00:56:14,360 --> 00:56:17,800 Speaker 2: now an analyst and researcher at his own shop, Surpa 1035 00:56:18,080 --> 00:56:22,000 Speaker 2: Pinto Advisory. So let's talk about where we are today 1036 00:56:22,160 --> 00:56:25,759 Speaker 2: in the world. Starting with a quote of yours, The 1037 00:56:25,800 --> 00:56:28,799 Speaker 2: old normal is dead, the new normal is here? What 1038 00:56:28,880 --> 00:56:29,480 Speaker 2: does that mean? 1039 00:56:30,080 --> 00:56:33,160 Speaker 3: Wow, I'll be honest with you, I don't even remember 1040 00:56:33,160 --> 00:56:36,080 Speaker 3: writing that, all right, so let me remove that, but 1041 00:56:36,520 --> 00:56:39,560 Speaker 3: I mean we could, but let me redefine that. Okay, 1042 00:56:39,640 --> 00:56:42,279 Speaker 3: you go back to our French Revolution story. Sure, which 1043 00:56:42,320 --> 00:56:45,120 Speaker 3: is I think there's a new old normal setting in 1044 00:56:45,239 --> 00:56:48,360 Speaker 3: which is that? You know? I mean I think we're 1045 00:56:48,800 --> 00:56:57,000 Speaker 3: living through historically changing times on several levels. So one 1046 00:56:57,000 --> 00:57:00,319 Speaker 3: of those is just is information right? And this brings 1047 00:57:00,360 --> 00:57:02,640 Speaker 3: me again. But I've become I've been obsessed with the 1048 00:57:02,640 --> 00:57:05,640 Speaker 3: French Revolution ever since people started telling me they're going 1049 00:57:05,680 --> 00:57:08,560 Speaker 3: to stick my head into the eighteen But you know, 1050 00:57:08,600 --> 00:57:12,120 Speaker 3: there was an information revolution happening during the French Revolution too. 1051 00:57:12,120 --> 00:57:16,280 Speaker 3: There were printing presses everywhere knew, there were pamphleteers. I mean, 1052 00:57:16,520 --> 00:57:19,000 Speaker 3: the printing press had been around for a couple of centuries, 1053 00:57:19,000 --> 00:57:22,520 Speaker 3: but it wasn't being mass produced. And in every village 1054 00:57:22,760 --> 00:57:25,560 Speaker 3: and every you know, neighborhood in Paris. 1055 00:57:26,280 --> 00:57:29,600 Speaker 2: But sent you read. 1056 00:57:29,280 --> 00:57:32,280 Speaker 6: Histories, If you read histories of the French Revolution, there 1057 00:57:32,280 --> 00:57:36,200 Speaker 6: were pamphleteers everywhere giving their version of events on every 1058 00:57:36,240 --> 00:57:40,120 Speaker 6: street corner, and they were basically tearing down the old 1059 00:57:40,160 --> 00:57:43,880 Speaker 6: institutions of the church and the aristocracy who defined the 1060 00:57:43,960 --> 00:57:46,640 Speaker 6: story for the public as they saw fit. 1061 00:57:47,160 --> 00:57:50,720 Speaker 3: And you know the United States too, The Declaration of 1062 00:57:50,760 --> 00:57:54,920 Speaker 3: Independence was a pamphlet. They signed the thing in Philadelphia, 1063 00:57:55,320 --> 00:57:58,040 Speaker 3: they fled because the British were coming, found their way 1064 00:57:58,400 --> 00:58:02,720 Speaker 3: to a printing facility in Baltimore and started mass producing 1065 00:58:02,800 --> 00:58:05,840 Speaker 3: the Declaration of Independence. So, you know, I think we're 1066 00:58:05,840 --> 00:58:08,880 Speaker 3: going through something like that now, where the old institutions 1067 00:58:09,040 --> 00:58:13,880 Speaker 3: of power in the media or are being redefined. I mean, 1068 00:58:13,960 --> 00:58:17,760 Speaker 3: for goodness sake, podcasters had a bigger influence on the 1069 00:58:17,840 --> 00:58:21,360 Speaker 3: last election than see and ended. It's amazing to me, Yeah, 1070 00:58:21,400 --> 00:58:23,160 Speaker 3: no doubt about it. So I think that, you know, 1071 00:58:23,200 --> 00:58:25,840 Speaker 3: that's an old normal, but the new normal is you know, 1072 00:58:26,920 --> 00:58:30,440 Speaker 3: this technological revolution, in my mind is mind boggling. I mean, 1073 00:58:30,680 --> 00:58:34,040 Speaker 3: I'm happy to sit at the table with a contemporary. 1074 00:58:34,240 --> 00:58:36,520 Speaker 3: When you and I were young men, if you wanted 1075 00:58:36,560 --> 00:58:37,800 Speaker 3: to take a picture. 1076 00:58:38,400 --> 00:58:39,960 Speaker 2: You know, you had to get a camera. You had 1077 00:58:40,000 --> 00:58:40,760 Speaker 2: a black. 1078 00:58:40,560 --> 00:58:43,640 Speaker 3: Box called a camera with something called film, a canister 1079 00:58:43,800 --> 00:58:46,160 Speaker 3: called film in it, and then you know, you would 1080 00:58:46,160 --> 00:58:49,080 Speaker 3: take thirty six snaps and then you had to take 1081 00:58:49,120 --> 00:58:50,280 Speaker 3: it to a store. 1082 00:58:50,320 --> 00:58:52,120 Speaker 2: Or a photo Matt a little yellow booth. 1083 00:58:52,200 --> 00:58:54,920 Speaker 3: Yeah, yeah, and it had to get you know, it 1084 00:58:54,960 --> 00:58:57,520 Speaker 3: took a week in the store to get developed, and 1085 00:58:57,520 --> 00:58:59,320 Speaker 3: you had to pay some amount of money. If you 1086 00:58:59,360 --> 00:59:01,320 Speaker 3: wanted to do a search, you went to a library. 1087 00:59:01,400 --> 00:59:03,520 Speaker 3: If you wanted to write a letter, you wrote it 1088 00:59:03,520 --> 00:59:05,320 Speaker 3: with a piece of pen on a paper. You stuck 1089 00:59:05,360 --> 00:59:07,640 Speaker 3: it in an envelope, put a stamp on it, put 1090 00:59:07,680 --> 00:59:10,440 Speaker 3: in a blue box, and waited a month for All 1091 00:59:10,520 --> 00:59:16,360 Speaker 3: of that stuff is now instantaneous, infinite, and practically costless. 1092 00:59:17,000 --> 00:59:19,680 Speaker 3: And so you know, and like I've ride the subway 1093 00:59:19,720 --> 00:59:23,160 Speaker 3: in New York, you look like every every you know, 1094 00:59:23,280 --> 00:59:25,280 Speaker 3: three out of every four people sitting next to you 1095 00:59:25,320 --> 00:59:29,120 Speaker 3: was staring at their phone. I think the information we're 1096 00:59:29,160 --> 00:59:36,560 Speaker 3: living through right now is quantums of magnitude of what 1097 00:59:36,600 --> 00:59:38,880 Speaker 3: they were going through, I think during the French revolutions. 1098 00:59:39,000 --> 00:59:42,320 Speaker 3: So it's an interesting time to be alive, doing well. 1099 00:59:42,280 --> 00:59:50,280 Speaker 2: To say nothing about bad information, misinformation, propaganda. 1100 00:59:49,320 --> 00:59:52,640 Speaker 3: Bad information. The word libel has its root in part 1101 00:59:52,720 --> 00:59:56,560 Speaker 3: in the French wordly bell, which were these scandalous pamphlets 1102 00:59:56,560 --> 00:59:59,240 Speaker 3: that were being put out about Marie Antoinette. And I 1103 00:59:59,280 --> 01:00:02,800 Speaker 3: think it was called rub Street in London. Huh, So Yeah, 1104 01:00:02,840 --> 01:00:06,400 Speaker 3: an abundance of information includes an abundance of really bad 1105 01:00:06,480 --> 01:00:10,520 Speaker 3: information and misinformation. So we're living through all of that 1106 01:00:10,640 --> 01:00:14,400 Speaker 3: right now. So let's talk about quite the central bank stuff. 1107 01:00:14,400 --> 01:00:17,000 Speaker 2: You're not quite, but let's talk about what all this 1108 01:00:17,160 --> 01:00:22,200 Speaker 2: means for the economy, which, as you have noted, has 1109 01:00:22,280 --> 01:00:27,000 Speaker 2: proven to be much more resilient than most forecasters have predicted. 1110 01:00:27,360 --> 01:00:30,880 Speaker 2: Where are we, uh in the economy today? What sort 1111 01:00:30,880 --> 01:00:34,720 Speaker 2: of job does the FED have to do balancing their 1112 01:00:34,800 --> 01:00:38,760 Speaker 2: dual mandate in the in the post pandemic economy we 1113 01:00:38,800 --> 01:00:39,360 Speaker 2: are living through. 1114 01:00:39,480 --> 01:00:42,600 Speaker 3: Yeah, I mean I think I think the FED is 1115 01:00:42,640 --> 01:00:46,040 Speaker 3: in a tough spot and it's prone to making some 1116 01:00:46,120 --> 01:00:47,640 Speaker 3: costly mistakes right now. 1117 01:00:47,840 --> 01:00:49,800 Speaker 2: Do you think they make mistakes or are they just 1118 01:00:50,000 --> 01:00:51,760 Speaker 2: always late to the party. 1119 01:00:52,080 --> 01:00:53,960 Speaker 3: No, I think they missed. I think they make mistakes. 1120 01:00:54,000 --> 01:00:57,520 Speaker 3: They clearly made a mistake after COVID, and I understand 1121 01:00:57,560 --> 01:01:00,760 Speaker 3: and understand what happened. So this is the thing, like 1122 01:01:00,760 --> 01:01:03,600 Speaker 3: people attacked the KIWI programs that BERNANKI did. I think 1123 01:01:03,640 --> 01:01:07,320 Speaker 3: you know, in the moment that he implemented them, they 1124 01:01:07,360 --> 01:01:11,080 Speaker 3: were the net benefits were greater than the net costs 1125 01:01:11,840 --> 01:01:14,680 Speaker 3: in those moments. What happened I think was we went 1126 01:01:14,680 --> 01:01:18,040 Speaker 3: into another shock after COVID, and I think, you know, J. 1127 01:01:18,320 --> 01:01:22,280 Speaker 3: Powell made a mistake. He's frankly, he's not an economist, 1128 01:01:22,880 --> 01:01:25,800 Speaker 3: and he misread a supply shock to the economy as 1129 01:01:25,800 --> 01:01:29,120 Speaker 3: a potential demand shock. So we took all these tools 1130 01:01:29,200 --> 01:01:32,360 Speaker 3: off the shelves that Bernanki and yelling it created and 1131 01:01:32,480 --> 01:01:35,200 Speaker 3: threw them at the COVID shock, which was a supply shock, 1132 01:01:35,680 --> 01:01:39,200 Speaker 3: overstimulated demand and we got inflation. So, yes, that was 1133 01:01:39,240 --> 01:01:39,800 Speaker 3: a mistake. 1134 01:01:39,920 --> 01:01:42,400 Speaker 2: You're putting more of that on the FED than the 1135 01:01:42,400 --> 01:01:46,280 Speaker 2: massive fiscal stimulus from Karzact one and two under Trump, 1136 01:01:46,360 --> 01:01:50,200 Speaker 2: Karzac three, and all the various spending bills under Biden. 1137 01:01:50,760 --> 01:01:52,680 Speaker 2: You think that was more monetary than fiscal. 1138 01:01:52,760 --> 01:01:54,240 Speaker 3: I think it was all of these things combined. 1139 01:01:54,280 --> 01:01:55,040 Speaker 2: Okay, that's fair. 1140 01:01:55,080 --> 01:01:57,280 Speaker 3: It was. And by the way, the other thing that 1141 01:01:57,920 --> 01:02:02,720 Speaker 3: the FED and the Trump administration did intentionally was decided 1142 01:02:02,920 --> 01:02:04,720 Speaker 3: we're not just going to bail out the banks this time, 1143 01:02:04,760 --> 01:02:06,600 Speaker 3: We're going to bow out the little guys. That's why 1144 01:02:06,640 --> 01:02:10,320 Speaker 3: everybody got those checks. Everyone was reliving the trauma of 1145 01:02:10,360 --> 01:02:12,959 Speaker 3: the two thousand and eight financial crisis when they made 1146 01:02:12,960 --> 01:02:16,560 Speaker 3: these decisions that created a whole new trauma. My mom 1147 01:02:16,680 --> 01:02:19,880 Speaker 3: was a historian and she talked about the kaleidoscope of history. 1148 01:02:20,160 --> 01:02:24,040 Speaker 3: So the configuration is constantly turning and growing out of 1149 01:02:24,080 --> 01:02:28,280 Speaker 3: whatever last configuration we were in. The FEDS made a mistake, 1150 01:02:28,480 --> 01:02:31,360 Speaker 3: a discreete mistake, and the mistake in two thousand and 1151 01:02:32,440 --> 01:02:35,920 Speaker 3: I'm sorry twenty twenty twenty twenty one was over stimulating 1152 01:02:35,920 --> 01:02:38,960 Speaker 3: in the face of a suppleas shock, but to get 1153 01:02:39,160 --> 01:02:41,280 Speaker 3: to come more to you know. And I think one 1154 01:02:41,280 --> 01:02:44,920 Speaker 3: of the problems that economists have is they call certain 1155 01:02:44,960 --> 01:02:48,120 Speaker 3: things like a law or a rule, and they think 1156 01:02:48,120 --> 01:02:50,160 Speaker 3: when they once it's called a law or rule, then 1157 01:02:50,160 --> 01:02:53,800 Speaker 3: it must always be true, right the psalm rule. Claudia 1158 01:02:53,880 --> 01:02:58,360 Speaker 3: Sam brilliant economists, wonderful person, you know, she noticed a 1159 01:02:58,440 --> 01:03:00,840 Speaker 3: correlation between that's, you know, a certain moments when the 1160 01:03:00,920 --> 01:03:03,920 Speaker 3: unemployment rate rises a certain amount of i think a 1161 01:03:03,920 --> 01:03:06,400 Speaker 3: half percentage point over a six month period, it tends 1162 01:03:06,480 --> 01:03:09,920 Speaker 3: to keep going up. That's like in a historical observation. 1163 01:03:10,040 --> 01:03:13,360 Speaker 3: It's not a law written into rules about never. 1164 01:03:13,320 --> 01:03:16,640 Speaker 2: From a zero percent interest rate and a sub four 1165 01:03:16,680 --> 01:03:21,440 Speaker 2: percent unemployment rate, like when yeah, where some rule didn't 1166 01:03:21,480 --> 01:03:25,400 Speaker 2: work was coming from levels that historically had never existed. 1167 01:03:25,800 --> 01:03:30,520 Speaker 3: Yeah, so yeah, you have to look at the situation 1168 01:03:30,640 --> 01:03:33,160 Speaker 3: you're in right now, and these rules of thumb and 1169 01:03:33,240 --> 01:03:36,320 Speaker 3: people do you know, they're like, oh, GDP contracted, you know, 1170 01:03:36,400 --> 01:03:38,600 Speaker 3: we're close to it. I think you have to look 1171 01:03:38,640 --> 01:03:42,000 Speaker 3: at the situation you're in and make the most sense 1172 01:03:42,040 --> 01:03:44,760 Speaker 3: of it that you can. So where are we right now? 1173 01:03:44,880 --> 01:03:47,760 Speaker 3: So growth has proven to be more resilient than a 1174 01:03:47,760 --> 01:03:52,680 Speaker 3: lot of people expected. But employment is slowing down, inflation 1175 01:03:52,840 --> 01:03:57,400 Speaker 3: is above the FEDS two percent target. What sense do 1176 01:03:57,480 --> 01:04:00,880 Speaker 3: I make of this? I think that the economy has 1177 01:04:00,920 --> 01:04:03,680 Speaker 3: slowed down a little bit. But coinciding with all this 1178 01:04:03,800 --> 01:04:06,640 Speaker 3: uncertainty from the tariff shock is we're going through an 1179 01:04:06,680 --> 01:04:10,800 Speaker 3: investment boom. We're going through, you know, a technology driven 1180 01:04:10,880 --> 01:04:13,840 Speaker 3: investment boom right now, which by the way, could hurt 1181 01:04:13,920 --> 01:04:16,560 Speaker 3: labors and workers in the long run, and maybe we're 1182 01:04:16,560 --> 01:04:19,520 Speaker 3: seeing some of that as we speak. By the way, 1183 01:04:19,560 --> 01:04:22,800 Speaker 3: I also think that if the demand for capital is 1184 01:04:22,920 --> 01:04:26,960 Speaker 3: rising for investment in AI and data centers, higher demand 1185 01:04:27,000 --> 01:04:30,640 Speaker 3: for capital should mean a higher equilibrium interest rate, a 1186 01:04:30,720 --> 01:04:33,800 Speaker 3: higher cost of capital. Right, If the demand for capital 1187 01:04:33,840 --> 01:04:36,280 Speaker 3: is higher, then the price for capital should be higher. 1188 01:04:36,920 --> 01:04:38,920 Speaker 3: And you know, but the FED is being asked to 1189 01:04:38,960 --> 01:04:42,400 Speaker 3: respond to a labor market that's softening. You know. My 1190 01:04:43,040 --> 01:04:48,680 Speaker 3: own concern is that the FED, is that the FED 1191 01:04:48,760 --> 01:04:50,919 Speaker 3: is going to ease into the slowdown in the job 1192 01:04:50,960 --> 01:04:55,480 Speaker 3: market when the financial markets are on fire, when it 1193 01:04:55,600 --> 01:04:59,680 Speaker 3: thinks the risk free rate is lower than it actually is, 1194 01:05:00,640 --> 01:05:03,040 Speaker 3: and when they're still an inflation problem, and they're gonna 1195 01:05:03,360 --> 01:05:05,960 Speaker 3: light even more of a fire into these markets, which 1196 01:05:06,040 --> 01:05:09,040 Speaker 3: might feel good for a few months for you know, 1197 01:05:09,080 --> 01:05:11,360 Speaker 3: as we saw, and they're only two thousands, late nineties, 1198 01:05:11,480 --> 01:05:15,320 Speaker 3: go on for years, but those situations often don't end well. 1199 01:05:15,440 --> 01:05:18,280 Speaker 2: So you I want to combine two of the things 1200 01:05:18,360 --> 01:05:21,600 Speaker 2: you said. You mentioned we're above the feds two percent 1201 01:05:21,640 --> 01:05:25,640 Speaker 2: inflation target, But why is that a rule? If you 1202 01:05:25,960 --> 01:05:30,120 Speaker 2: look at the two thousands, two thousand and ten tens era, 1203 01:05:30,640 --> 01:05:34,960 Speaker 2: two percent was an upside monetary target. Yeah, from below. 1204 01:05:35,600 --> 01:05:40,120 Speaker 2: Now we've kind of pivoted into a fiscal stimulus era. Yeah, 1205 01:05:40,200 --> 01:05:42,320 Speaker 2: two percent is a downside target. 1206 01:05:42,400 --> 01:05:42,800 Speaker 3: Yeah. 1207 01:05:42,800 --> 01:05:46,240 Speaker 2: Should you have the same inflation target in the twenty 1208 01:05:46,280 --> 01:05:49,880 Speaker 2: twenties that you had in the two thousands and twenty tens. 1209 01:05:49,760 --> 01:05:52,960 Speaker 3: Yes, one hundred percent. It should be immutable, so it 1210 01:05:53,000 --> 01:05:57,080 Speaker 3: should always be percent, because it is now and it's 1211 01:05:57,080 --> 01:05:59,520 Speaker 3: in everybody's interest to keep it there. And here's why. 1212 01:05:59,720 --> 01:06:04,000 Speaker 3: So we have a fiat currency, right and so you know, 1213 01:06:04,040 --> 01:06:06,800 Speaker 3: if you go back two hundred years, three hundred years, 1214 01:06:06,800 --> 01:06:11,960 Speaker 3: the anchor for that currency was was gold. You know, 1215 01:06:12,040 --> 01:06:14,400 Speaker 3: people would say your money is as good as gold 1216 01:06:14,400 --> 01:06:16,480 Speaker 3: if you if you had a dour today, you could 1217 01:06:16,520 --> 01:06:19,320 Speaker 3: buy x number of ounces with that door today. That 1218 01:06:19,480 --> 01:06:22,480 Speaker 3: was the anchor for the currency. Gold doesn't work as 1219 01:06:22,520 --> 01:06:24,760 Speaker 3: an anchor for the currency. In my humble opinion, do 1220 01:06:24,840 --> 01:06:28,440 Speaker 3: you know that Americans spend about the last time I 1221 01:06:28,480 --> 01:06:30,600 Speaker 3: looked at this, about as much money every year on 1222 01:06:30,760 --> 01:06:34,600 Speaker 3: dry cleaning as they spend on gold. And do you 1223 01:06:34,600 --> 01:06:37,640 Speaker 3: know that the that the that the largest producers of 1224 01:06:37,680 --> 01:06:41,960 Speaker 3: gold in the world include countries like Russia and South 1225 01:06:42,000 --> 01:06:46,080 Speaker 3: Africa and Venuzu not the most stable producers. So like, 1226 01:06:46,120 --> 01:06:50,000 Speaker 3: so why would we anchor our currency to to an 1227 01:06:50,040 --> 01:06:53,960 Speaker 3: idea like like gold? What you want to have an anchor? Now, 1228 01:06:54,040 --> 01:06:59,360 Speaker 3: so the inflation target, what inflation is is an anchor 1229 01:06:59,440 --> 01:07:02,120 Speaker 3: that you know you're dollar is going to be worth 1230 01:07:03,040 --> 01:07:06,720 Speaker 3: a known and set amount every single year. It is. 1231 01:07:07,040 --> 01:07:10,520 Speaker 3: The two percent inflation target is the gold standard of 1232 01:07:10,560 --> 01:07:13,280 Speaker 3: the past. And in my mind, it's a more sensible 1233 01:07:13,280 --> 01:07:16,200 Speaker 3: gold standard because it touches a wider array of what 1234 01:07:16,240 --> 01:07:19,200 Speaker 3: it costs us to live. So then the question becomes, well, 1235 01:07:19,240 --> 01:07:22,960 Speaker 3: hy two percent? Well, so the answer is because that's 1236 01:07:23,000 --> 01:07:26,040 Speaker 3: what they chose because and you know, and this actually 1237 01:07:26,360 --> 01:07:28,360 Speaker 3: I go through this in my book about Yellen. But 1238 01:07:28,760 --> 01:07:30,720 Speaker 3: you know, well, why shouldn't it be zero? Well, the 1239 01:07:30,800 --> 01:07:34,120 Speaker 3: fear is. The fear was that if your anchor is zero, 1240 01:07:34,160 --> 01:07:37,840 Speaker 3: then interest rates are always very low. And when you 1241 01:07:37,880 --> 01:07:39,920 Speaker 3: get to a point where the economy is slow is 1242 01:07:39,960 --> 01:07:42,960 Speaker 3: slowing down like a depression or recession, unemployment is rising, 1243 01:07:43,160 --> 01:07:45,840 Speaker 3: the central bank can't do anything exactly what we live 1244 01:07:45,920 --> 01:07:48,360 Speaker 3: through in the eight period. You need to have the 1245 01:07:48,360 --> 01:07:53,560 Speaker 3: inflation number a little bit above zero. We want you 1246 01:07:53,600 --> 01:07:55,840 Speaker 3: want it low, but you wanted something above zero so 1247 01:07:55,840 --> 01:07:57,640 Speaker 3: that the Fed has a little wiggle room to support 1248 01:07:57,680 --> 01:08:00,600 Speaker 3: the economy in a crisis. That's the idea. So you 1249 01:08:00,600 --> 01:08:02,280 Speaker 3: could say, well, it should have been three percent, it 1250 01:08:02,280 --> 01:08:05,080 Speaker 3: should have been four percent, okay, but we chose two percent. 1251 01:08:05,640 --> 01:08:09,680 Speaker 3: And once you've chosen it, then it's very hard to say, like, 1252 01:08:09,760 --> 01:08:11,080 Speaker 3: we choose something else. Now. 1253 01:08:11,360 --> 01:08:15,120 Speaker 2: I read a paper by former FED Vice chair Roger 1254 01:08:15,200 --> 01:08:21,360 Speaker 2: Ferguson about the two percent target, and Ferguson said, it's 1255 01:08:21,400 --> 01:08:24,920 Speaker 2: a random number that came out of New Zealand's where 1256 01:08:24,960 --> 01:08:28,640 Speaker 2: someone just happened to be talking about inflation in the 1257 01:08:28,720 --> 01:08:31,960 Speaker 2: nineteen eighties and they tossed out two percent. And that's 1258 01:08:32,000 --> 01:08:34,719 Speaker 2: the history of it. It traces to a New Zealand 1259 01:08:34,800 --> 01:08:36,760 Speaker 2: banker discussion first fifty. 1260 01:08:36,560 --> 01:08:39,160 Speaker 3: Years, first mover advantage. There was, there was, there was 1261 01:08:39,200 --> 01:08:41,040 Speaker 3: certainly an element to it. But I want to say 1262 01:08:41,040 --> 01:08:44,080 Speaker 3: something else about it because people sometimes make this argument that, 1263 01:08:44,520 --> 01:08:47,439 Speaker 3: you know, why should you accept any inflation where we're 1264 01:08:47,479 --> 01:08:51,080 Speaker 3: debasing our currency. The currency today is worth five percent 1265 01:08:51,439 --> 01:08:53,920 Speaker 3: of what it was worth ten percent of what it 1266 01:08:53,960 --> 01:08:56,960 Speaker 3: was worth, you know in nineteen thirteen when the Fed 1267 01:08:57,040 --> 01:09:00,000 Speaker 3: was creative. But like you had, like in my mind, 1268 01:09:00,120 --> 01:09:03,599 Speaker 3: what matters is the purchasing power of an hour of 1269 01:09:03,640 --> 01:09:06,880 Speaker 3: your labor. Right, So exactly, if inflation is going up 1270 01:09:06,920 --> 01:09:09,400 Speaker 3: two percent a year, okay, that's one thing. If you're 1271 01:09:09,479 --> 01:09:12,439 Speaker 3: earning three percent of year for your labor, if you're 1272 01:09:12,439 --> 01:09:16,439 Speaker 3: earning five percent a year for your capital, then you're 1273 01:09:16,479 --> 01:09:19,479 Speaker 3: getting ahead. And it would be impossible for anyone to 1274 01:09:19,640 --> 01:09:23,479 Speaker 3: argue to me that the human condition is I mean 1275 01:09:23,600 --> 01:09:26,360 Speaker 3: on many levels, maybe psychological. I can't make this case, 1276 01:09:26,400 --> 01:09:30,320 Speaker 3: but the human condition is worse today than it was 1277 01:09:30,360 --> 01:09:33,519 Speaker 3: in nineteen thirteen. Of course, well like America became a 1278 01:09:33,640 --> 01:09:36,800 Speaker 3: world superpower in nineteen So it's just it doesn't make 1279 01:09:36,840 --> 01:09:39,200 Speaker 3: sense to me when people say you're debasing the currency, 1280 01:09:39,680 --> 01:09:42,960 Speaker 3: Like what I want to say is against what measure. 1281 01:09:43,760 --> 01:09:45,519 Speaker 3: Here's another Like when I was covering the. 1282 01:09:45,800 --> 01:09:49,040 Speaker 2: Dollar is not supposed to be a permanent store of value. 1283 01:09:49,080 --> 01:09:51,760 Speaker 2: It's a medium of exchange. If you're holding on to 1284 01:09:51,840 --> 01:09:55,760 Speaker 2: a dollar for a century, you've made some financial errors. 1285 01:09:55,960 --> 01:09:57,200 Speaker 2: That's not what you're supposed to do. 1286 01:09:57,520 --> 01:09:59,680 Speaker 3: People used to always say to me, and I used 1287 01:09:59,680 --> 01:10:01,439 Speaker 3: to hear them say when I was covering the FED, 1288 01:10:01,560 --> 01:10:03,960 Speaker 3: that the FED is destroying the value of the dollar, 1289 01:10:04,120 --> 01:10:06,240 Speaker 3: And like, I spent a lot of time. This gets 1290 01:10:06,240 --> 01:10:08,400 Speaker 3: to something I think we're going to think about, like, well, 1291 01:10:08,439 --> 01:10:11,280 Speaker 3: so what does that mean when the Fed? Like one 1292 01:10:11,320 --> 01:10:14,000 Speaker 3: of my principles for writing was like I need to 1293 01:10:14,000 --> 01:10:16,840 Speaker 3: be able to break things down to their to their 1294 01:10:17,000 --> 01:10:20,200 Speaker 3: like their their core, meaning, like, what does it mean 1295 01:10:20,240 --> 01:10:23,240 Speaker 3: when you say that the FED is destroying the value 1296 01:10:23,280 --> 01:10:24,320 Speaker 3: of the currency. 1297 01:10:24,560 --> 01:10:25,559 Speaker 2: They're dimasing it? 1298 01:10:25,800 --> 01:10:25,960 Speaker 3: Yeah? 1299 01:10:26,000 --> 01:10:28,080 Speaker 2: Yeah, but like a metal, precious metal. 1300 01:10:28,160 --> 01:10:30,240 Speaker 3: But you know, so you couldn't say that like kind 1301 01:10:30,280 --> 01:10:33,000 Speaker 3: of relative to other currencies, because the dollar was going up. 1302 01:10:33,439 --> 01:10:36,120 Speaker 3: And while it's you know, the purchasing power of a 1303 01:10:36,200 --> 01:10:38,720 Speaker 3: dollar today was going down. The purchasing power of your 1304 01:10:38,800 --> 01:10:42,840 Speaker 3: income exactly is long. And this again brings me back 1305 01:10:42,880 --> 01:10:46,680 Speaker 3: to the revolution, because this is also technological revolution. A 1306 01:10:46,680 --> 01:10:49,920 Speaker 3: lot of working class Americans got left behind during this 1307 01:10:50,000 --> 01:10:54,559 Speaker 3: era of technology and globalization. And what happened was the 1308 01:10:54,600 --> 01:10:59,120 Speaker 3: purchasing power of their labor declined. It wasn't the FED 1309 01:10:59,400 --> 01:11:02,519 Speaker 3: that did that from inflation. Inflation was very stable. The 1310 01:11:02,560 --> 01:11:05,040 Speaker 3: purchasing power of the labor declined because they were competing 1311 01:11:05,080 --> 01:11:08,679 Speaker 3: against you know, low wage workers in Mexico and China, 1312 01:11:09,000 --> 01:11:11,960 Speaker 3: and because they were competing against machines that were replacing 1313 01:11:11,960 --> 01:11:14,599 Speaker 3: them in the workplace. And so it is true. It 1314 01:11:14,680 --> 01:11:16,800 Speaker 3: is a fact, and this is another part of the 1315 01:11:16,840 --> 01:11:22,040 Speaker 3: revolution which is related and potentially intensifying. We've lived for 1316 01:11:22,240 --> 01:11:26,400 Speaker 3: twenty five years into this kind of post industrial information 1317 01:11:27,520 --> 01:11:31,639 Speaker 3: driven economy, and what we know about this is that 1318 01:11:32,200 --> 01:11:37,519 Speaker 3: it exaggerates inequality, It concentrates wealth among very few people, 1319 01:11:37,520 --> 01:11:40,600 Speaker 3: and a lot of people are being left behind. And 1320 01:11:40,640 --> 01:11:42,680 Speaker 3: the question is and how do you like preserve the 1321 01:11:42,760 --> 01:11:45,080 Speaker 3: value of the dollar. It's how do you preserve the 1322 01:11:45,200 --> 01:11:48,040 Speaker 3: value of an hour of your work? You know, how 1323 01:11:48,040 --> 01:11:51,040 Speaker 3: do you find work that's going to keep you keep 1324 01:11:51,040 --> 01:11:53,240 Speaker 3: your family fed and get your kids through school and 1325 01:11:53,439 --> 01:11:55,880 Speaker 3: you know, get you your trip to Disneyland. 1326 01:11:56,280 --> 01:11:58,600 Speaker 2: You know, the federal government dropped the ball. And we 1327 01:11:59,000 --> 01:12:03,000 Speaker 2: see it in some specific industries like if you're shutting 1328 01:12:03,080 --> 01:12:06,360 Speaker 2: coal mines in West Virginia, well you have to retrain 1329 01:12:06,439 --> 01:12:10,200 Speaker 2: those people to do something else. And if you work 1330 01:12:10,240 --> 01:12:14,400 Speaker 2: in a furniture factory, a garment factory, any of the 1331 01:12:14,720 --> 01:12:19,479 Speaker 2: low end manufacturing businesses that all left, those people have 1332 01:12:19,520 --> 01:12:20,160 Speaker 2: to be retrained. 1333 01:12:20,200 --> 01:12:20,360 Speaker 4: Well. 1334 01:12:20,400 --> 01:12:22,519 Speaker 3: But so yes, so, I mean I kind of I wrote, 1335 01:12:22,520 --> 01:12:24,760 Speaker 3: I wrote a lot about this, and we did, but 1336 01:12:24,840 --> 01:12:29,080 Speaker 3: it's not It wasn't as if we didn't recognize we 1337 01:12:30,439 --> 01:12:33,000 Speaker 3: I mean, all right, I'll just say it. The elites 1338 01:12:33,520 --> 01:12:37,439 Speaker 3: who were driving the bus, uh didn't recognize that there 1339 01:12:37,520 --> 01:12:41,240 Speaker 3: was a challenge there. You know, there was a Trade 1340 01:12:41,240 --> 01:12:44,920 Speaker 3: Adjustment Act, right, there were facilities that were meant to 1341 01:12:44,960 --> 01:12:47,000 Speaker 3: get people retrained. 1342 01:12:47,800 --> 01:12:47,960 Speaker 2: Uh. 1343 01:12:48,040 --> 01:12:50,920 Speaker 3: And then and there was a vast American community college 1344 01:12:50,960 --> 01:12:53,280 Speaker 3: system which was meant to be a vehicle to get 1345 01:12:53,360 --> 01:12:56,680 Speaker 3: people retrained. But I talked to people from manufacturing, you know, 1346 01:12:56,720 --> 01:12:59,320 Speaker 3: from furniture plants and Hickory, which is one of my 1347 01:12:59,320 --> 01:13:03,080 Speaker 3: favorite and nowlogies for America because Hickory, North Carolina is 1348 01:13:03,160 --> 01:13:05,479 Speaker 3: right next to Charlotte. One's a banking center, one was 1349 01:13:05,520 --> 01:13:08,559 Speaker 3: a furniture center. One went one way, one went red, 1350 01:13:08,600 --> 01:13:12,000 Speaker 3: one went blue, one did better, one did worse. Anyway. Yeah, 1351 01:13:12,040 --> 01:13:14,360 Speaker 3: I talked to people in these plants and Hickory, and 1352 01:13:14,400 --> 01:13:17,679 Speaker 3: they're like, you know, I didn't finish high school. Now 1353 01:13:17,680 --> 01:13:20,000 Speaker 3: you're telling me to go out. I'm fifty years old. 1354 01:13:20,080 --> 01:13:23,599 Speaker 3: I got I gotta go and re educate myself. And 1355 01:13:23,640 --> 01:13:25,640 Speaker 3: then like for the people who actually went through it 1356 01:13:25,680 --> 01:13:28,559 Speaker 3: and did it, You're like, I was making twenty five 1357 01:13:28,640 --> 01:13:31,879 Speaker 3: dollars an hour with bent, with a pension and health benefits. 1358 01:13:32,040 --> 01:13:35,519 Speaker 3: Now I'm a phlebotomist. You know, I'm pulling blood out 1359 01:13:35,520 --> 01:13:39,440 Speaker 3: of people's veins, making twelve dollars an hour at a hospital. 1360 01:13:40,320 --> 01:13:43,840 Speaker 3: It didn't work for them, and the you know, this 1361 01:13:44,000 --> 01:13:46,920 Speaker 3: was one of the great errors of the economics and 1362 01:13:47,000 --> 01:13:50,280 Speaker 3: economic policy profession of the last twenty five years is 1363 01:13:50,520 --> 01:13:54,160 Speaker 3: they didn't think that stuff through and the politics didn't 1364 01:13:54,200 --> 01:13:58,400 Speaker 3: really weren't conducive to addressing that problem, but it and 1365 01:13:58,439 --> 01:14:00,720 Speaker 3: this is my this is one of my kind warnings, 1366 01:14:01,360 --> 01:14:04,280 Speaker 3: warnings for politicians, say, I don't see how anyone is 1367 01:14:04,320 --> 01:14:07,160 Speaker 3: fixing that underlying problem that we live in a post 1368 01:14:07,200 --> 01:14:12,479 Speaker 3: industrial economy that bifurcates wealth and income. And frankly, I 1369 01:14:12,560 --> 01:14:16,200 Speaker 3: don't think it's realistic to expect we're going to reindustrialize 1370 01:14:16,880 --> 01:14:17,559 Speaker 3: this country. 1371 01:14:17,680 --> 01:14:19,360 Speaker 2: Even if we do, it'll be automated. 1372 01:14:19,360 --> 01:14:21,800 Speaker 3: It's going to be exactly it's it's it's going to 1373 01:14:21,880 --> 01:14:24,920 Speaker 3: be machines, and we're moving out of an industrial ear, 1374 01:14:25,160 --> 01:14:28,160 Speaker 3: you know. So the so my question is like, how 1375 01:14:28,200 --> 01:14:31,360 Speaker 3: do you I talk to an economist David Otter, who's 1376 01:14:31,400 --> 01:14:34,200 Speaker 3: thought a lot about this stuff. He wrote the papers 1377 01:14:34,240 --> 01:14:38,200 Speaker 3: about the China shock. You know, our work is not 1378 01:14:38,280 --> 01:14:41,320 Speaker 3: only a source of kind of fulfillment and income, but 1379 01:14:41,320 --> 01:14:43,200 Speaker 3: but the way we work is also the way we 1380 01:14:43,520 --> 01:14:47,320 Speaker 3: distribute wealth and income. And so if the whole nature 1381 01:14:47,360 --> 01:14:51,400 Speaker 3: of work is changing because of technology, then like, are 1382 01:14:51,400 --> 01:14:54,720 Speaker 3: we thinking about how we're going to manage the distributional 1383 01:14:54,720 --> 01:14:56,920 Speaker 3: effects of that? And I'm not like saying this as 1384 01:14:56,960 --> 01:15:01,000 Speaker 3: some kind of you know, screaming, bleeding hord liberal. I 1385 01:15:01,000 --> 01:15:04,640 Speaker 3: mean Donald Trump actually got elected because of the disaffected 1386 01:15:05,000 --> 01:15:08,840 Speaker 3: American working class. And I don't think either party has 1387 01:15:08,920 --> 01:15:11,200 Speaker 3: has actually gotten their hands around it. I wrote a 1388 01:15:11,200 --> 01:15:13,320 Speaker 3: book about Jenny All, and I talked a lot of time, 1389 01:15:13,560 --> 01:15:16,160 Speaker 3: spent a lot of time talking to Democrats about this. 1390 01:15:16,200 --> 01:15:18,000 Speaker 3: I don't think any of these people have gotten their 1391 01:15:18,000 --> 01:15:21,439 Speaker 3: hands around how do we navigate this, like this revolution 1392 01:15:21,560 --> 01:15:25,000 Speaker 3: that we're going through the economic post industrial revolution. 1393 01:15:25,320 --> 01:15:28,320 Speaker 2: So so I have one last question I'm going to 1394 01:15:28,320 --> 01:15:31,040 Speaker 2: ask you before we get to our favorite questions we 1395 01:15:31,080 --> 01:15:33,880 Speaker 2: ask old guests. Okay, but you've been alluding at it, 1396 01:15:33,920 --> 01:15:38,240 Speaker 2: so feel free to go back to a previous conversation. 1397 01:15:38,880 --> 01:15:42,360 Speaker 2: What do you think investors are not talking about but 1398 01:15:42,520 --> 01:15:46,479 Speaker 2: should be. It could be a policy issue, an asset class, 1399 01:15:46,520 --> 01:15:47,480 Speaker 2: a data point. 1400 01:15:47,320 --> 01:15:48,240 Speaker 3: That that's it. 1401 01:15:48,320 --> 01:15:50,759 Speaker 2: But I think it's yeah, that's why it's the it's. 1402 01:15:50,640 --> 01:15:53,519 Speaker 3: The inequality issue because and when I said, I don't 1403 01:15:53,520 --> 01:15:55,280 Speaker 3: want to use I don't want to use the word 1404 01:15:55,520 --> 01:16:00,120 Speaker 3: inequality in like the kind of conventional politically divisive way. 1405 01:16:00,160 --> 01:16:04,080 Speaker 3: What what I mean is that you know, an economy 1406 01:16:04,200 --> 01:16:08,080 Speaker 3: creates income and wealth, and how that income and wealth 1407 01:16:08,160 --> 01:16:12,519 Speaker 3: is distributed distributed across the population is a result of 1408 01:16:12,560 --> 01:16:14,360 Speaker 3: the way. And and by the way. 1409 01:16:14,320 --> 01:16:16,600 Speaker 2: There is for a chart on this exact. 1410 01:16:16,400 --> 01:16:19,800 Speaker 3: There is there is no law. There is no rule 1411 01:16:19,880 --> 01:16:24,880 Speaker 3: in economics that says that wealth and income will be 1412 01:16:26,000 --> 01:16:30,479 Speaker 3: distributed in a fixed or predictable way. You know, the 1413 01:16:30,520 --> 01:16:36,719 Speaker 3: agricultural era, uh what did not create an economic system 1414 01:16:36,920 --> 01:16:41,800 Speaker 3: or that that distributed wealth and income equally. It was 1415 01:16:41,920 --> 01:16:44,840 Speaker 3: very unequal. You had kings and queens and peasants, right. 1416 01:16:45,320 --> 01:16:48,920 Speaker 3: It just so happened that the industrial economy distributed created 1417 01:16:48,960 --> 01:16:51,760 Speaker 3: a vast middle class because you needed people attached to 1418 01:16:51,840 --> 01:16:54,520 Speaker 3: machines to make the stuff that made our lives more comfortable. 1419 01:16:55,040 --> 01:16:57,720 Speaker 3: But there's no rule that I see that says, moving 1420 01:16:57,800 --> 01:17:01,160 Speaker 3: into a post industrial, high tech world, that this whole 1421 01:17:01,200 --> 01:17:04,240 Speaker 3: new world is going to distribute income and wealth in 1422 01:17:04,320 --> 01:17:06,720 Speaker 3: the same way. And so my question is what are 1423 01:17:06,720 --> 01:17:08,920 Speaker 3: we doing about that? And by the way, I think 1424 01:17:08,960 --> 01:17:13,479 Speaker 3: the institutions we talked about norms before, the institutions that 1425 01:17:13,479 --> 01:17:16,840 Speaker 3: we've created over the last two hundred years, we're built 1426 01:17:16,840 --> 01:17:21,040 Speaker 3: for an industrial economy. Our tax base, our voting systems, 1427 01:17:21,080 --> 01:17:23,400 Speaker 3: everything is built for an industrial you know. So to me, 1428 01:17:23,560 --> 01:17:27,400 Speaker 3: the big existential question is, you know, how are we 1429 01:17:27,479 --> 01:17:32,960 Speaker 3: going to manage the distributional effects of income and wealth 1430 01:17:33,000 --> 01:17:36,280 Speaker 3: creation and a high tech, high information economy. 1431 01:17:36,320 --> 01:17:39,080 Speaker 2: I saw a table this morning. I can't I can't 1432 01:17:39,080 --> 01:17:43,680 Speaker 2: find it now, but it basically shows a number of 1433 01:17:43,960 --> 01:17:52,200 Speaker 2: industrialized countries and what percentage of their workforce is below 1434 01:17:52,840 --> 01:17:58,600 Speaker 2: the median income and the US and UK are substantially 1435 01:17:59,120 --> 01:18:03,240 Speaker 2: I think something like twenty three twenty four percent substantially below. 1436 01:18:03,240 --> 01:18:06,120 Speaker 2: You look at other countries like Japan, the difference between 1437 01:18:06,120 --> 01:18:10,120 Speaker 2: the mean and the median isn't that big. And when 1438 01:18:10,160 --> 01:18:13,920 Speaker 2: you have a very skewed distribution like you're describing, that 1439 01:18:14,000 --> 01:18:17,240 Speaker 2: gap gets bigger and bigger. So I'll dig up that table. 1440 01:18:17,360 --> 01:18:18,719 Speaker 3: Well, you said it to me, I'd love to see. 1441 01:18:18,920 --> 01:18:21,120 Speaker 2: I'll say, I'll share it with you and I'll post 1442 01:18:21,160 --> 01:18:24,280 Speaker 2: it when we when we this goes live. But it's 1443 01:18:24,360 --> 01:18:27,960 Speaker 2: kind of fascinating because you don't think of the country 1444 01:18:27,960 --> 01:18:30,280 Speaker 2: that way. And when you look at what was it 1445 01:18:30,360 --> 01:18:32,559 Speaker 2: the Z one flow of funds that the Fed puts 1446 01:18:32,560 --> 01:18:37,120 Speaker 2: out good one, you can see that gap getting bigger 1447 01:18:37,160 --> 01:18:42,440 Speaker 2: and bigger, especially since the nineties. I mentioned unintended consequences. 1448 01:18:43,000 --> 01:18:47,480 Speaker 2: Some legislation passed by the Clinton administration to cap executive 1449 01:18:47,520 --> 01:18:49,880 Speaker 2: compensation at I want to say it was a million 1450 01:18:49,960 --> 01:18:53,040 Speaker 2: dollars or two million dollars that just led to massive 1451 01:18:53,200 --> 01:18:54,880 Speaker 2: equity compensation. 1452 01:18:54,479 --> 01:18:58,160 Speaker 3: Right, help drive and by the way, accounting fraud, that's right, 1453 01:18:58,600 --> 01:18:59,000 Speaker 3: that's right. 1454 01:18:59,040 --> 01:19:00,960 Speaker 2: So not only did you are you driving people to 1455 01:19:01,040 --> 01:19:04,800 Speaker 2: hyper focus on the quarterly calls leading to some quarterly 1456 01:19:04,920 --> 01:19:09,280 Speaker 2: yearnings leading to some monkey business, but people getting paid 1457 01:19:09,280 --> 01:19:11,960 Speaker 2: in equity we're making and so that. 1458 01:19:11,960 --> 01:19:14,479 Speaker 3: From political perspective, for Republicans, how are you going to 1459 01:19:14,560 --> 01:19:18,280 Speaker 3: take care of the working class? Are these promises about reindustrialization? 1460 01:19:21,640 --> 01:19:23,479 Speaker 3: Can you realize them? And for the Democrats, how are 1461 01:19:23,479 --> 01:19:25,720 Speaker 3: you going to win people back? Because they lost them 1462 01:19:25,720 --> 01:19:28,040 Speaker 3: Donald Trump took them from him. Well, the question is, 1463 01:19:28,160 --> 01:19:29,920 Speaker 3: and by the way, is terms of the FED. All 1464 01:19:29,920 --> 01:19:32,280 Speaker 3: the FED can ever do is make a mistake. It's 1465 01:19:32,320 --> 01:19:35,679 Speaker 3: like his job is to prevent financial crises and keep 1466 01:19:35,720 --> 01:19:39,320 Speaker 3: inflation stable. Like people love to attack the FED because 1467 01:19:40,360 --> 01:19:43,519 Speaker 3: you know, you only notice it when it's screwing something up. 1468 01:19:44,160 --> 01:19:46,599 Speaker 2: So and and by the way, for getting things right. 1469 01:19:46,720 --> 01:19:50,200 Speaker 3: One other thing about the FED is, you know, I 1470 01:19:50,240 --> 01:19:53,280 Speaker 3: live in Washington, d C. It's this place where like 1471 01:19:55,040 --> 01:19:59,160 Speaker 3: people like ninety percent of people, what they're doing you know, 1472 01:20:00,200 --> 01:20:03,080 Speaker 3: time is spinning you and trying to get you to 1473 01:20:03,160 --> 01:20:08,639 Speaker 3: believe his story that's in their personal or institutional economic interests. 1474 01:20:09,160 --> 01:20:11,320 Speaker 3: The Fed is out there trying to tell people what 1475 01:20:11,400 --> 01:20:13,680 Speaker 3: it thinks it's going to do. Like you could give 1476 01:20:13,720 --> 01:20:16,400 Speaker 3: them a hard time for making mistakes. I've just said 1477 01:20:16,439 --> 01:20:20,080 Speaker 3: I think J. Powell made mistakes, but like, at least 1478 01:20:20,080 --> 01:20:22,120 Speaker 3: they're trying to be honest about what they're up to. 1479 01:20:22,439 --> 01:20:24,040 Speaker 3: I got to answer, and so many other people in 1480 01:20:24,120 --> 01:20:26,879 Speaker 3: Washington are trying to mislead you. You know, I admire 1481 01:20:26,920 --> 01:20:28,080 Speaker 3: them for trying to be straight. 1482 01:20:28,320 --> 01:20:29,920 Speaker 2: I got to ask you a question. You've lived in 1483 01:20:29,960 --> 01:20:33,200 Speaker 2: New York, you've lived in Washington, d C. Which town 1484 01:20:33,320 --> 01:20:34,560 Speaker 2: is more transactional. 1485 01:20:35,600 --> 01:20:37,840 Speaker 3: Oh oh, that's a good question. I didn't think you 1486 01:20:37,840 --> 01:20:40,599 Speaker 3: were going in that. They're both transactional. But the difference 1487 01:20:40,680 --> 01:20:44,200 Speaker 3: is in New York is a transactional town, and everyone's 1488 01:20:44,240 --> 01:20:48,960 Speaker 3: looking out for their own interests, and everybody knows that, right, 1489 01:20:49,000 --> 01:20:51,439 Speaker 3: and everybody knows that and accepts that is like the 1490 01:20:51,560 --> 01:20:56,080 Speaker 3: rules of the game. Right in Washington, it's all transactional 1491 01:20:56,200 --> 01:20:58,559 Speaker 3: and everyone's out for their own interests. But they're trying 1492 01:20:58,600 --> 01:21:01,040 Speaker 3: to make you believe that they're doing it for you, 1493 01:21:01,520 --> 01:21:04,960 Speaker 3: and and and that's why it all looks so hypocritical, 1494 01:21:05,240 --> 01:21:08,360 Speaker 3: because like they're yes, they're totally transactional, and they're totally 1495 01:21:08,360 --> 01:21:11,720 Speaker 3: trying to advance their party or their power or their 1496 01:21:12,000 --> 01:21:15,040 Speaker 3: their you know, fundraising, but they're trying to make you 1497 01:21:15,080 --> 01:21:17,680 Speaker 3: believe that they're doing it for you, to help you 1498 01:21:17,880 --> 01:21:19,720 Speaker 3: so that your children will be better off. 1499 01:21:19,920 --> 01:21:20,000 Speaker 2: Right. 1500 01:21:20,120 --> 01:21:22,200 Speaker 3: And I'm sorry, I've got I've grown a little cynical 1501 01:21:22,240 --> 01:21:25,040 Speaker 3: about No, I m I much prefer being in New York. 1502 01:21:25,320 --> 01:21:27,800 Speaker 2: I asked that question because I had a feeling you're 1503 01:21:27,840 --> 01:21:31,320 Speaker 2: going to go that way. New York. There's no pretending Yeah, 1504 01:21:31,439 --> 01:21:36,800 Speaker 2: it's transactional because it's the center of US capitalism. DC 1505 01:21:37,000 --> 01:21:37,519 Speaker 2: is something else. 1506 01:21:37,800 --> 01:21:40,040 Speaker 3: Yeah, And like New York is traders, and it always 1507 01:21:40,080 --> 01:21:43,240 Speaker 3: has been, Washington is lawyers. Here's my other New York 1508 01:21:43,320 --> 01:21:47,160 Speaker 3: Washington analogy. If you're driving down the street in New York, 1509 01:21:47,160 --> 01:21:50,000 Speaker 3: although you can anymore because there's so much traffic, if 1510 01:21:50,000 --> 01:21:52,040 Speaker 3: you kind of move in and out of one lane, 1511 01:21:52,080 --> 01:21:55,519 Speaker 3: if you kind of overstep your bounds, someone will honk 1512 01:21:55,560 --> 01:21:57,720 Speaker 3: the horn, give you the finger, and keep driving. Right. 1513 01:21:58,080 --> 01:22:01,000 Speaker 3: If you do that in Washington instead of giving you 1514 01:22:01,040 --> 01:22:04,080 Speaker 3: their middle finger. They'll point their pointing finger. They'll wag 1515 01:22:04,160 --> 01:22:06,680 Speaker 3: their finger at you and tell you you broke a 1516 01:22:06,800 --> 01:22:09,680 Speaker 3: rule and then like threatened to turn you in. And then, 1517 01:22:09,800 --> 01:22:12,479 Speaker 3: by the way, there are speed cameras everywhere. It's a 1518 01:22:12,520 --> 01:22:14,000 Speaker 3: little bit more oppressive ever place. 1519 01:22:14,040 --> 01:22:17,040 Speaker 2: I think, really amusing. All right, so I only have 1520 01:22:17,080 --> 01:22:19,000 Speaker 2: you for a certain amount of time. Let's jump to 1521 01:22:19,080 --> 01:22:22,439 Speaker 2: our favorite questions we ask all of our guests, starting 1522 01:22:22,520 --> 01:22:26,519 Speaker 2: with who are your mentors who helped shape your career? 1523 01:22:27,600 --> 01:22:29,800 Speaker 3: Well, so, I'd have to say one of my most 1524 01:22:29,800 --> 01:22:32,880 Speaker 3: important important mentors at the Journal was a guy named 1525 01:22:32,960 --> 01:22:36,960 Speaker 3: David Wessel, who covered the David Wessel covered the fad 1526 01:22:37,040 --> 01:22:40,599 Speaker 3: in the nineteen nineties, was just like an institution in 1527 01:22:40,720 --> 01:22:44,479 Speaker 3: economics and economic policy coverage. He gave me chances and 1528 01:22:44,520 --> 01:22:48,120 Speaker 3: he was usually nice to me. So yeah, he's a 1529 01:22:48,120 --> 01:22:50,479 Speaker 3: tough boss too. Dave Wessell was a great guy and 1530 01:22:50,680 --> 01:22:54,000 Speaker 3: my best friend at the Journal all those years was 1531 01:22:54,520 --> 01:22:57,839 Speaker 3: a guy named Bob Davis. Gentleman, good guy, great reporter. 1532 01:22:58,479 --> 01:23:00,840 Speaker 2: Number one in terms of one bylines. 1533 01:23:01,160 --> 01:23:03,000 Speaker 3: Yeah, man, I And and by the way, Nick tim 1534 01:23:03,080 --> 01:23:05,360 Speaker 3: Rose is going to pass me pretty Oh really, I'm 1535 01:23:05,360 --> 01:23:08,200 Speaker 3: sure I have I don't know the numbers, but I'm Nick. 1536 01:23:08,960 --> 01:23:13,760 Speaker 3: Nick is my successor, uh covering the FED. He'll pass me, 1537 01:23:13,880 --> 01:23:15,639 Speaker 3: but I don't know he's gonna catch Bob Davis. 1538 01:23:15,800 --> 01:23:18,360 Speaker 2: That's amazing. Let's talk about books. What are some of 1539 01:23:18,360 --> 01:23:19,479 Speaker 2: your favorites. What are you reading? 1540 01:23:19,600 --> 01:23:21,360 Speaker 3: Well, I've been reading. I've alluded to this. I've been 1541 01:23:21,439 --> 01:23:24,719 Speaker 3: reading a bunch about the French Revolution. I'm also reading 1542 01:23:24,760 --> 01:23:29,559 Speaker 3: the book Sapiens, but I can't remember his full name. Harari. Yeah, 1543 01:23:29,640 --> 01:23:33,320 Speaker 3: you'v all Harari. It's a pretty bleak perspective on humanity, 1544 01:23:33,560 --> 01:23:36,280 Speaker 3: very I think I. I think I. I'm a little 1545 01:23:36,320 --> 01:23:41,960 Speaker 3: more optimistic about our species and its intentions, but there's 1546 01:23:42,200 --> 01:23:45,479 Speaker 3: interesting insights in there. Like I The reason I picked 1547 01:23:45,479 --> 01:23:49,840 Speaker 3: it up is I think that humans have these kind 1548 01:23:49,880 --> 01:23:55,080 Speaker 3: of primitive brains with primitive mcdowah and emotion centers. We 1549 01:23:55,160 --> 01:24:01,200 Speaker 3: have an industrial area era economic and political structures, and 1550 01:24:01,240 --> 01:24:06,320 Speaker 3: we're living with twenty third century technology, and I'm trying 1551 01:24:06,320 --> 01:24:09,200 Speaker 3: to understand the primitive parts and how that might interact 1552 01:24:09,280 --> 01:24:10,000 Speaker 3: with all this other thing. 1553 01:24:10,560 --> 01:24:12,960 Speaker 2: You keep bringing stuff up. I have chapters in a 1554 01:24:13,000 --> 01:24:15,640 Speaker 2: book for you that you're going to love. What do 1555 01:24:15,680 --> 01:24:19,120 Speaker 2: you remember the name of the French Revolution book. You 1556 01:24:19,160 --> 01:24:21,559 Speaker 2: know you're putting email to me, I'll dig it up 1557 01:24:21,840 --> 01:24:25,120 Speaker 2: and you crack me up. Comparing DC to a city 1558 01:24:25,160 --> 01:24:28,840 Speaker 2: of lawyers versus New York as a city of traders. 1559 01:24:29,280 --> 01:24:32,120 Speaker 2: I'm going to share a book title with you called 1560 01:24:32,240 --> 01:24:38,160 Speaker 2: Breakneck China's Rush to Build the Future by Dan Wang, 1561 01:24:38,680 --> 01:24:42,880 Speaker 2: and he compares China versus the US. The US as 1562 01:24:42,920 --> 01:24:46,680 Speaker 2: a country of lawyers, China as a country of engineers, 1563 01:24:47,200 --> 01:24:49,960 Speaker 2: which is why they could put up as much stuff 1564 01:24:50,000 --> 01:24:51,479 Speaker 2: as they do, as fast as they do. 1565 01:24:53,160 --> 01:24:55,960 Speaker 3: But we're also a country of entrepreneurs. 1566 01:24:55,200 --> 01:24:57,200 Speaker 2: For sure, for sure, and we're not just a lot 1567 01:24:57,240 --> 01:25:00,680 Speaker 2: of state dictated although I was going to say not 1568 01:25:00,720 --> 01:25:03,439 Speaker 2: a state dictated of industrial policy, but that's. 1569 01:25:03,439 --> 01:25:05,360 Speaker 3: Just so, you know, So this is another thing that 1570 01:25:05,439 --> 01:25:07,280 Speaker 3: I just have them having a hard time getting my 1571 01:25:07,360 --> 01:25:10,439 Speaker 3: head around. So, like, China's economy is really struggling right now. 1572 01:25:10,439 --> 01:25:13,800 Speaker 3: They definitely pushed us, they challenged us. You know, we 1573 01:25:14,040 --> 01:25:18,680 Speaker 3: were our workers were hurt by the incursion of china imports. 1574 01:25:19,160 --> 01:25:22,919 Speaker 3: But we're you know, on many measures. You know, we're 1575 01:25:23,000 --> 01:25:26,080 Speaker 3: still doing all right and winning, but we basically conceded 1576 01:25:26,520 --> 01:25:30,000 Speaker 3: to China's economic model. It's like we're loving we're moving 1577 01:25:30,040 --> 01:25:33,599 Speaker 3: towards the state run capital is state run capitalism, which 1578 01:25:33,640 --> 01:25:36,080 Speaker 3: is you know, it's it's hard for me to get 1579 01:25:36,080 --> 01:25:38,840 Speaker 3: my head around the idea that we've given up on 1580 01:25:39,800 --> 01:25:44,639 Speaker 3: a system and a project of democratic capitalism, and that 1581 01:25:44,640 --> 01:25:48,639 Speaker 3: that's especially is democratic change, I should say, democratic free 1582 01:25:48,640 --> 01:25:52,240 Speaker 3: market capitalism. You know, we seem to be having our 1583 01:25:52,280 --> 01:25:54,920 Speaker 3: doubts about it. I guess what I would hope is 1584 01:25:54,960 --> 01:25:56,920 Speaker 3: that we don't give up on it too fast. 1585 01:25:57,280 --> 01:26:01,880 Speaker 2: I'm curious, is this a permanent it or is this Hey, 1586 01:26:02,880 --> 01:26:06,760 Speaker 2: let the president have his ten percent of intel. But 1587 01:26:06,960 --> 01:26:09,599 Speaker 2: he's this is his second term and he's almost eighty 1588 01:26:09,880 --> 01:26:12,360 Speaker 2: and this is an aptive change, Like I've heard that 1589 01:26:12,520 --> 01:26:15,280 Speaker 2: sort of vibe from people, and I don't know how 1590 01:26:15,320 --> 01:26:16,160 Speaker 2: serious I think. 1591 01:26:16,200 --> 01:26:19,400 Speaker 3: I think he and his followers and his lead the 1592 01:26:19,560 --> 01:26:22,559 Speaker 3: leaders who were working with him are vulnerable on the 1593 01:26:22,600 --> 01:26:25,559 Speaker 3: issue of inflation in the cost of living. Got he 1594 01:26:25,600 --> 01:26:28,920 Speaker 3: got in there and in part because people were angry 1595 01:26:28,960 --> 01:26:31,640 Speaker 3: about the inflation of the post COVID period. Back then 1596 01:26:31,680 --> 01:26:33,720 Speaker 3: it was we're now doing a lot of We're doing 1597 01:26:33,760 --> 01:26:36,000 Speaker 3: a lot of things right now. It's not just tariffs, 1598 01:26:36,000 --> 01:26:39,960 Speaker 3: but with monetary policy pushing I guarantee you. If we 1599 01:26:40,000 --> 01:26:42,080 Speaker 3: get the interest rate down to where the President wants it, 1600 01:26:42,120 --> 01:26:44,759 Speaker 3: we're going to have inflation. And if we don't get inflation, 1601 01:26:44,840 --> 01:26:47,360 Speaker 3: there's going to be an asset price boom. Where again, 1602 01:26:47,439 --> 01:26:49,800 Speaker 3: this inequality thing, there's a few people who are going 1603 01:26:49,880 --> 01:26:52,360 Speaker 3: to make a lot of money off of that. So 1604 01:26:52,640 --> 01:26:56,080 Speaker 3: I mean, I think that they have a little bit 1605 01:26:56,120 --> 01:26:57,800 Speaker 3: of an achilles heel in that issue. 1606 01:26:58,600 --> 01:27:01,320 Speaker 2: Let's talk about street. What are you listening to in 1607 01:27:01,400 --> 01:27:05,040 Speaker 2: terms of podcasts or watching on Netflix or Amazon product. 1608 01:27:05,000 --> 01:27:08,680 Speaker 3: I watched a really cool show called Tehran, which was 1609 01:27:08,760 --> 01:27:13,280 Speaker 3: about Israeli Mosat agents infiltrating Tehran. It was put out 1610 01:27:13,280 --> 01:27:17,920 Speaker 3: a couple of two three years ago infiltrating Tehran to 1611 01:27:18,200 --> 01:27:22,560 Speaker 3: blow up their nuclear reactors. I watched it like a 1612 01:27:22,920 --> 01:27:25,600 Speaker 3: couple of months before they went and blew up their 1613 01:27:25,960 --> 01:27:28,439 Speaker 3: you know, so that was really interesting. I'm also just 1614 01:27:28,640 --> 01:27:33,320 Speaker 3: I'm a sports fanatic, so I don't really I don't 1615 01:27:33,320 --> 01:27:35,599 Speaker 3: have to. I'll tell you what. I've stopped watching cable 1616 01:27:35,640 --> 01:27:39,719 Speaker 3: television after been participating in it for a long time, 1617 01:27:40,760 --> 01:27:44,880 Speaker 3: but if there's a game on them, yeah, I'm a 1618 01:27:44,920 --> 01:27:45,960 Speaker 3: football fanatic. 1619 01:27:46,200 --> 01:27:49,200 Speaker 2: Final two questions, what advice would you give a recent 1620 01:27:49,240 --> 01:27:53,919 Speaker 2: college grad interested in a career in financial journalism. 1621 01:27:54,240 --> 01:27:57,080 Speaker 3: Financial journalism. All right, so I've had this talk. This 1622 01:27:57,120 --> 01:28:00,559 Speaker 3: is getting back to the whole printing press French revel thing. 1623 01:28:00,600 --> 01:28:06,280 Speaker 3: I mean, I think it's clear that the journalism is 1624 01:28:06,320 --> 01:28:10,439 Speaker 3: going through a period of exceptional disruption right now, right, 1625 01:28:10,880 --> 01:28:13,080 Speaker 3: And so the choices that I was looking at when 1626 01:28:13,120 --> 01:28:15,479 Speaker 3: I was coming into the field of like, you know, 1627 01:28:15,520 --> 01:28:17,080 Speaker 3: how do I get to the Wall Street Journal? How 1628 01:28:17,120 --> 01:28:18,920 Speaker 3: do I get to the New York Times? Like, it's 1629 01:28:18,960 --> 01:28:21,920 Speaker 3: a different set of choices, And if you use the 1630 01:28:22,000 --> 01:28:25,840 Speaker 3: kind of pamphleteers and analogy, you know, when you see what's 1631 01:28:25,920 --> 01:28:28,160 Speaker 3: going on, look at you. You know you started a 1632 01:28:28,160 --> 01:28:31,200 Speaker 3: podcast and you know this has become this great thing 1633 01:28:31,240 --> 01:28:34,479 Speaker 3: for you. I say this to young people all the time. 1634 01:28:34,640 --> 01:28:42,920 Speaker 3: Be think expansively and creatively about where these interests might 1635 01:28:42,960 --> 01:28:46,560 Speaker 3: take you. You know, the core skill set of getting information, 1636 01:28:48,280 --> 01:28:51,560 Speaker 3: distilling and making sense of the information and conveying information, 1637 01:28:52,200 --> 01:28:54,559 Speaker 3: like that's the core of journalism. That's like that's more 1638 01:28:54,640 --> 01:28:58,400 Speaker 3: essential than ever. But the way you're going to practice 1639 01:28:58,400 --> 01:29:01,320 Speaker 3: those skills is going to be different than what I did. 1640 01:29:01,439 --> 01:29:04,559 Speaker 3: And you know, like I had a young student that 1641 01:29:04,640 --> 01:29:07,080 Speaker 3: I was working with and talking to with Duke a 1642 01:29:07,080 --> 01:29:09,240 Speaker 3: few years ago. You know, she was going down the 1643 01:29:09,240 --> 01:29:12,320 Speaker 3: whole newspaper route. She's now doing a true crime prodcast 1644 01:29:12,360 --> 01:29:15,320 Speaker 3: in the Midwest, and so, you know, I think that 1645 01:29:15,520 --> 01:29:18,799 Speaker 3: there's a lot of opportunity out there for people who 1646 01:29:19,360 --> 01:29:21,719 Speaker 3: are willing to kind of take chances and be nimble. 1647 01:29:21,760 --> 01:29:24,600 Speaker 3: And it's scary, but there's a lot of opportunity for 1648 01:29:24,680 --> 01:29:27,800 Speaker 3: people who can be flexible and find the opportunities and 1649 01:29:27,840 --> 01:29:31,040 Speaker 3: go for it. And I love being a journalist. I 1650 01:29:31,080 --> 01:29:34,639 Speaker 3: would not take There's this ritual that journalists go through 1651 01:29:34,680 --> 01:29:38,160 Speaker 3: where like experienced journalists are constantly trying to tell young 1652 01:29:38,240 --> 01:29:41,160 Speaker 3: journalists don't do this, it's a terrible field, it's a 1653 01:29:41,240 --> 01:29:44,519 Speaker 3: dying profession, and go become a lawyer, you know, blah blah. 1654 01:29:44,560 --> 01:29:46,600 Speaker 3: I had a great experience, like I'm never going to 1655 01:29:46,640 --> 01:29:51,639 Speaker 3: tell someone not to pursue that that dreamer, that interest 1656 01:29:51,760 --> 01:29:54,080 Speaker 3: because it was so good to me. But you've got 1657 01:29:54,080 --> 01:29:56,759 Speaker 3: to be willing to, you know, kind of take chances 1658 01:29:56,800 --> 01:29:58,840 Speaker 3: and go down some roads you might not expect to go. 1659 01:29:58,800 --> 01:30:01,320 Speaker 2: Down, recognize how the as this model has changed. Yea, 1660 01:30:01,560 --> 01:30:04,080 Speaker 2: and our final question, what do you know about the 1661 01:30:04,080 --> 01:30:08,400 Speaker 2: world of economics finance? Central banks today might have been 1662 01:30:08,439 --> 01:30:10,920 Speaker 2: helpful twenty five or so years ago when you were 1663 01:30:10,960 --> 01:30:12,680 Speaker 2: starting out thirty years ago. 1664 01:30:12,720 --> 01:30:14,200 Speaker 3: Well, I mean, I guess the basic thing is just 1665 01:30:14,240 --> 01:30:16,519 Speaker 3: that it's so much more interesting than I expected. I 1666 01:30:16,520 --> 01:30:19,080 Speaker 3: didn't want to get into economics writing. I did. I 1667 01:30:19,080 --> 01:30:24,759 Speaker 3: did by accident, and I stayed in it. I wanted 1668 01:30:24,760 --> 01:30:28,920 Speaker 3: to be a war correspondent, and what I came to 1669 01:30:28,960 --> 01:30:31,720 Speaker 3: see was that, like or a sports writer, that the 1670 01:30:31,760 --> 01:30:35,600 Speaker 3: great battlefields and the great arenas that really affected the 1671 01:30:35,640 --> 01:30:41,200 Speaker 3: human condition were in markets and economics. So I guess 1672 01:30:41,280 --> 01:30:44,519 Speaker 3: what I would tell myself now was to go into 1673 01:30:44,520 --> 01:30:47,400 Speaker 3: it with even more conviction because it turned out to 1674 01:30:47,439 --> 01:30:49,040 Speaker 3: be so fascinating. 1675 01:30:49,000 --> 01:30:52,519 Speaker 2: Really really interesting. Thank you, John for being so generous 1676 01:30:52,520 --> 01:30:56,120 Speaker 2: with your time. We have been speaking with John Hilson Wrath, 1677 01:30:56,800 --> 01:31:00,439 Speaker 2: former chief economics correspondent for The Wall Street Journal. Today 1678 01:31:00,479 --> 01:31:05,800 Speaker 2: he runs Serpa Pinto Advisory. If you enjoy this conversation, 1679 01:31:06,040 --> 01:31:08,320 Speaker 2: check out any of the five hundred and sixty seven 1680 01:31:08,720 --> 01:31:11,920 Speaker 2: we've done over the past eleven years. You can find 1681 01:31:11,960 --> 01:31:16,720 Speaker 2: those at Bloomberg, iTunes, Spotify, YouTube, wherever you find your 1682 01:31:16,760 --> 01:31:20,000 Speaker 2: favorite podcast. Be sure to check out my new book, 1683 01:31:20,320 --> 01:31:24,519 Speaker 2: How Not to Invest The ideas, numbers and behaviors that 1684 01:31:24,560 --> 01:31:27,479 Speaker 2: destroy wealth and how to avoid them, how not to 1685 01:31:27,600 --> 01:31:31,320 Speaker 2: invest at your favorite bookseller. Now, I would be remiss 1686 01:31:31,320 --> 01:31:33,200 Speaker 2: if I didn't thank the Crack team that helps with 1687 01:31:33,240 --> 01:31:38,920 Speaker 2: these conversations together each week. Alexis Noriega is my video producer. 1688 01:31:39,240 --> 01:31:43,080 Speaker 2: An A. Luke is my audio producer. Sean Russo is 1689 01:31:43,080 --> 01:31:45,280 Speaker 2: my head of research. Sage Bauman is the head of 1690 01:31:45,320 --> 01:31:49,879 Speaker 2: podcasts here at Bloomberg. I'm Barry Retultz. You've been listening 1691 01:31:49,920 --> 01:31:58,600 Speaker 2: to Masters in Business on Bloomberg Radio. 1692 01:32:00,080 --> 01:32:03,479 Speaker 1: Bass back