1 00:00:02,720 --> 00:00:07,200 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,080 --> 00:00:11,320 Speaker 2: Some of the presidents Alex advisors have suggested that you 3 00:00:11,560 --> 00:00:12,360 Speaker 2: should resign. 4 00:00:12,960 --> 00:00:15,760 Speaker 1: If he asked you to leave, would you go? No? 5 00:00:17,360 --> 00:00:19,000 Speaker 3: Can you follow up on it? 6 00:00:19,560 --> 00:00:22,639 Speaker 1: Do you think that legally you're not required to leave? 7 00:00:23,079 --> 00:00:23,159 Speaker 2: No. 8 00:00:33,560 --> 00:00:36,760 Speaker 3: I'm Stephanie Flanders, head of Government and Economics at Bloomberg. 9 00:00:37,520 --> 00:00:40,680 Speaker 3: Welcome to Trumpanomics, the podcast that looks at the economic 10 00:00:40,720 --> 00:00:43,360 Speaker 3: world of Donald Trump, how he's already shaped the global 11 00:00:43,400 --> 00:00:46,200 Speaker 3: economy and what on earth is going to happen next? 12 00:00:46,960 --> 00:00:49,800 Speaker 3: And it's that what's going to happen next part that 13 00:00:49,840 --> 00:00:53,280 Speaker 3: we're focusing on this week. There's so many presidents being 14 00:00:53,280 --> 00:00:56,320 Speaker 3: broken in Washington these days, it's easy to miss a few. 15 00:00:57,360 --> 00:01:01,000 Speaker 3: Last week, well, most were focused on deportation, court orders, 16 00:01:01,120 --> 00:01:04,840 Speaker 3: flights to El Salvador. Something happened that we at Trumpanomics 17 00:01:04,880 --> 00:01:08,720 Speaker 3: think should have got more attention. Two commissioners on the 18 00:01:08,720 --> 00:01:13,200 Speaker 3: Federal Trade Commission got fired for being Democrats. Now you 19 00:01:13,280 --> 00:01:16,520 Speaker 3: might say, so, what, who isn't being fired in the 20 00:01:16,600 --> 00:01:20,000 Speaker 3: nation's capital these days? Except it's not really supposed to 21 00:01:20,080 --> 00:01:23,440 Speaker 3: happen at an independent agency like the FTC. And if 22 00:01:23,440 --> 00:01:27,280 Speaker 3: it can happen to officials there. It raises questions about 23 00:01:27,400 --> 00:01:31,600 Speaker 3: whether folks at other independent agencies, even senior ones, could 24 00:01:31,600 --> 00:01:35,360 Speaker 3: be fired too. Fed share J Powell, for example, who 25 00:01:35,440 --> 00:01:38,360 Speaker 3: you heard voicing a rather different opinion at the start 26 00:01:38,360 --> 00:01:41,640 Speaker 3: of the show. It also made us think about some 27 00:01:41,800 --> 00:01:45,160 Speaker 3: other seemingly minor developments in other corners of DC that 28 00:01:45,959 --> 00:01:49,640 Speaker 3: could raise red flags about the independence and oversight of 29 00:01:49,800 --> 00:01:54,640 Speaker 3: not only the agencies that implement America's economic and regulatory policies, 30 00:01:55,200 --> 00:01:59,240 Speaker 3: but even potentially the economic data on which every judgment 31 00:01:59,360 --> 00:02:02,840 Speaker 3: about the US economy is based. Now, of course we 32 00:02:02,960 --> 00:02:05,480 Speaker 3: might be overdoing it. I hope we're overdoing it. Some 33 00:02:05,520 --> 00:02:08,520 Speaker 3: of these risks may well not materialize, but when it 34 00:02:08,520 --> 00:02:12,800 Speaker 3: comes to the independence of monetary policy and economic statistics, well, 35 00:02:13,120 --> 00:02:17,280 Speaker 3: we at Bloomberg get nervous fairly easily. David Wilcox has 36 00:02:17,280 --> 00:02:21,320 Speaker 3: spent his entire career overseeing and analyzing US economic data 37 00:02:21,320 --> 00:02:24,640 Speaker 3: and policy, first as Assistant Secretary for Economic Policy at 38 00:02:24,639 --> 00:02:27,880 Speaker 3: the US Treasury under President Clinton. He was then many 39 00:02:28,000 --> 00:02:31,840 Speaker 3: years until twenty eighteen, leading the Research and Statistics Division 40 00:02:31,960 --> 00:02:35,760 Speaker 3: for the US Federal Reserve. Acted as a senior advisor 41 00:02:35,960 --> 00:02:40,200 Speaker 3: to three Federal Reserve chairs, including Jay Powell happily for us, 42 00:02:40,240 --> 00:02:43,280 Speaker 3: he's now reached the pinnacle of his career as the 43 00:02:43,520 --> 00:02:47,120 Speaker 3: director of US economic research for Bloomberg Economics. David, thank 44 00:02:47,160 --> 00:02:49,200 Speaker 3: you very much for joining us and for being the 45 00:02:49,240 --> 00:02:51,160 Speaker 3: one really to sound the alarm about a lot of 46 00:02:51,200 --> 00:02:51,680 Speaker 3: these things. 47 00:02:51,880 --> 00:02:52,880 Speaker 1: It's good to be here. 48 00:02:53,160 --> 00:02:54,799 Speaker 3: Well, I know you do have a lot of thoughts 49 00:02:54,800 --> 00:02:57,800 Speaker 3: and concerns about this, based on your experience on the 50 00:02:57,840 --> 00:03:01,400 Speaker 3: inside of these agencies and decisions. But I also wanted 51 00:03:01,400 --> 00:03:04,320 Speaker 3: to get a bit of the reporter perspective from Molly Smith, 52 00:03:04,480 --> 00:03:07,680 Speaker 3: who's a US economics editor for Bloomberg in New York 53 00:03:08,040 --> 00:03:10,440 Speaker 3: and has been writing up quite a lot of what's 54 00:03:10,480 --> 00:03:13,760 Speaker 3: been happening at the statistical agencies and other parts of 55 00:03:14,440 --> 00:03:18,480 Speaker 3: DC that collate US economic data in recent months. Molly, 56 00:03:18,800 --> 00:03:20,360 Speaker 3: welcome to Trumponomics. 57 00:03:20,639 --> 00:03:21,480 Speaker 2: Thanks for having me. 58 00:03:28,040 --> 00:03:30,680 Speaker 3: So, David, let's start with that first thing. I mentioned, 59 00:03:30,720 --> 00:03:33,320 Speaker 3: the firing of two commissioners, which definitely did get a 60 00:03:33,360 --> 00:03:35,880 Speaker 3: little bit lost in the enormous amount of other news 61 00:03:35,920 --> 00:03:39,040 Speaker 3: that's happening on a daily basis in Washington. Why did 62 00:03:39,080 --> 00:03:42,000 Speaker 3: you immediately pick up the phone to tell us this 63 00:03:42,120 --> 00:03:43,120 Speaker 3: was something to worry about. 64 00:03:43,640 --> 00:03:48,840 Speaker 1: Well, the historical parallel is just echoes very loudly. Nearly 65 00:03:48,880 --> 00:03:52,080 Speaker 1: one hundred years ago, President Franklin Dello and Or Roosevelt 66 00:03:52,120 --> 00:03:56,840 Speaker 1: also tried to fire an FTC commissioner named William Humphrey. 67 00:03:57,720 --> 00:04:01,960 Speaker 1: Humphrey initially had been appointed to the FTC by President 68 00:04:02,120 --> 00:04:05,360 Speaker 1: Calvin Coolidge in nineteen twenty five, and was reappointed to 69 00:04:05,400 --> 00:04:10,440 Speaker 1: a second term by President Herbert Hoover. When FDR came 70 00:04:10,480 --> 00:04:14,880 Speaker 1: into office, he correctly identified Humphrey as somebody who held 71 00:04:14,880 --> 00:04:19,000 Speaker 1: different policy views than FDR did, and so he asked 72 00:04:19,160 --> 00:04:24,440 Speaker 1: Humphrey twice in letters to resign, but Humphrey refused, so 73 00:04:25,520 --> 00:04:29,920 Speaker 1: FDR fired him. And that came despite the fact that 74 00:04:30,000 --> 00:04:35,000 Speaker 1: there was language in the FTC Act saying that the 75 00:04:35,040 --> 00:04:39,520 Speaker 1: President could fire members of the Commission only for inefficiency, 76 00:04:39,640 --> 00:04:44,160 Speaker 1: neglected duty, or malfeasance in office, and Roosevelt didn't allege 77 00:04:44,200 --> 00:04:48,160 Speaker 1: that any of those applied in the case of William Humphrey. 78 00:04:48,920 --> 00:04:53,080 Speaker 1: Humphrey refused to go. He sued for back wages, the 79 00:04:53,120 --> 00:04:56,880 Speaker 1: wages that he hadn't been paid after he'd been terminated. 80 00:04:57,600 --> 00:05:02,360 Speaker 1: Then he suffered the misfortune of before the case found 81 00:05:02,440 --> 00:05:06,560 Speaker 1: completion through the court system, which then as now the 82 00:05:06,600 --> 00:05:11,320 Speaker 1: wheels of justice turned rather slowly, but Humphrey's executor, the 83 00:05:11,400 --> 00:05:15,760 Speaker 1: executor of his estate, took up the legal cause and 84 00:05:16,040 --> 00:05:19,560 Speaker 1: maintained the lawsuit, and ultimately, in nineteen thirty five, the 85 00:05:19,600 --> 00:05:24,599 Speaker 1: Supreme Court ruled in Humphrey's favor and awarded those back 86 00:05:24,640 --> 00:05:28,880 Speaker 1: wages to his estate. That the case is incredibly important 87 00:05:28,920 --> 00:05:34,839 Speaker 1: today because it's that legal foundation, that nineteen thirty five 88 00:05:34,960 --> 00:05:40,279 Speaker 1: Supreme Court decision on which rests the employment security such 89 00:05:40,320 --> 00:05:43,919 Speaker 1: as it is that Federal Reserve governors also enjoy. The 90 00:05:44,000 --> 00:05:46,479 Speaker 1: language in the Federal Reserve Act is a little different, 91 00:05:46,520 --> 00:05:49,359 Speaker 1: but the legal principle is exactly the same. 92 00:05:50,279 --> 00:05:53,479 Speaker 3: And to be clear, the firings in this case were 93 00:05:53,520 --> 00:05:55,960 Speaker 3: in a sense similar to the FDR ones because it 94 00:05:56,000 --> 00:05:58,120 Speaker 3: was not based on bad behavior, and there was no 95 00:05:58,160 --> 00:06:00,320 Speaker 3: claim it was based on bad behavior. It is the 96 00:06:00,320 --> 00:06:04,040 Speaker 3: fact that they potentially disagreed with the administration the continued 97 00:06:04,080 --> 00:06:07,120 Speaker 3: service on the FTC. The statement said, the explanation from 98 00:06:07,120 --> 00:06:11,760 Speaker 3: the White House was is inconsistent with my administration's. 99 00:06:10,880 --> 00:06:15,680 Speaker 1: Priorities, exactly right. And I think what we're likely to 100 00:06:15,720 --> 00:06:19,400 Speaker 1: see here can't say with certainty, but likely, I think 101 00:06:19,560 --> 00:06:23,839 Speaker 1: is that this case involving the two FTC commissioners will 102 00:06:23,920 --> 00:06:27,840 Speaker 1: work reasonably rapidly through the court system and will get 103 00:06:27,880 --> 00:06:32,920 Speaker 1: a decision ultimately, probably from the Supreme Court. An extra 104 00:06:33,080 --> 00:06:36,680 Speaker 1: reason for concern is that the Supreme Court has been 105 00:06:36,760 --> 00:06:41,040 Speaker 1: chipping away at that nineteen thirty five decision Humphrey's Executor 106 00:06:41,160 --> 00:06:46,520 Speaker 1: versus the United States. Twenty twenty, for example, they limited 107 00:06:46,560 --> 00:06:50,240 Speaker 1: the reach of Humphrey's Executor so that it no longer 108 00:06:50,279 --> 00:06:55,040 Speaker 1: applies to single headed agencies like the Consumer Financial Protection Bureau. 109 00:06:55,720 --> 00:06:58,799 Speaker 1: They said it did still apply as of twenty twenty 110 00:06:59,160 --> 00:07:03,000 Speaker 1: to multi head agencies like the Federal Reserve Board. But 111 00:07:03,560 --> 00:07:07,360 Speaker 1: I think there's a lot of opinion in legal community 112 00:07:07,400 --> 00:07:11,840 Speaker 1: among legal scholars that Humphrey's Executor hangs by a thread, 113 00:07:12,040 --> 00:07:16,200 Speaker 1: and with it the independence of the Federal Reserve, its 114 00:07:16,240 --> 00:07:20,000 Speaker 1: ability to set monetary policy without fear of being second 115 00:07:20,000 --> 00:07:21,840 Speaker 1: guest by political authorities. 116 00:07:22,560 --> 00:07:25,920 Speaker 3: And it should be said it would put the administration 117 00:07:26,400 --> 00:07:29,920 Speaker 3: in direct opposition to the way that j. Powell himself 118 00:07:29,920 --> 00:07:32,600 Speaker 3: said he saw the situation. In the first press conference 119 00:07:32,640 --> 00:07:35,320 Speaker 3: after the election, he was asked, can you be fired? 120 00:07:35,360 --> 00:07:37,360 Speaker 3: Are you worried about being fired by the president, and 121 00:07:37,400 --> 00:07:40,000 Speaker 3: said no, in a very kind of this is not 122 00:07:40,040 --> 00:07:43,000 Speaker 3: a questioned way. Was that your understanding, David, when you 123 00:07:43,040 --> 00:07:44,880 Speaker 3: were inside the FED that it was just there was 124 00:07:44,920 --> 00:07:46,760 Speaker 3: just not an issue about whether or not the President 125 00:07:46,760 --> 00:07:47,840 Speaker 3: could fire at FED chair. 126 00:07:48,480 --> 00:07:51,600 Speaker 1: Well, as in many things in the legal world, it's 127 00:07:51,920 --> 00:07:55,880 Speaker 1: a little complicated. There are two positions that Jay Powell holds. 128 00:07:56,480 --> 00:07:58,600 Speaker 1: One is that he's a member of the Board of 129 00:07:58,600 --> 00:08:02,000 Speaker 1: Governors and they're The Federal Reserve Act language is quite 130 00:08:02,080 --> 00:08:06,240 Speaker 1: clear the President may terminate members of the Federal Reserve 131 00:08:06,280 --> 00:08:11,440 Speaker 1: Board for cause. The other position to which he also 132 00:08:11,480 --> 00:08:15,360 Speaker 1: needs to be confirmed, is as Chair of the Federal 133 00:08:15,360 --> 00:08:19,560 Speaker 1: Reserve Board, and there the drafting of the language, unfortunately 134 00:08:19,760 --> 00:08:23,720 Speaker 1: was rather awkward and leaves ambiguous the question about whether 135 00:08:23,760 --> 00:08:28,400 Speaker 1: the President can demote the chair from his elevated status 136 00:08:28,440 --> 00:08:31,160 Speaker 1: to that of a mere member of the Board of Governors. 137 00:08:31,680 --> 00:08:34,880 Speaker 1: That question has never been litigated. No president has ever 138 00:08:34,960 --> 00:08:38,760 Speaker 1: tried to demote a Federal Reserve chair before. I think 139 00:08:39,080 --> 00:08:43,560 Speaker 1: it's possible that we may see that question resolved here 140 00:08:43,600 --> 00:08:44,280 Speaker 1: in the future. 141 00:08:44,840 --> 00:08:47,920 Speaker 3: But the broader concern which I mentioned at the start, 142 00:08:48,520 --> 00:08:52,000 Speaker 3: was around something which one thinks of as even more 143 00:08:52,040 --> 00:08:55,440 Speaker 3: of a kind of bedrock for US economic policy, and 144 00:08:55,440 --> 00:08:59,880 Speaker 3: that's just economic data, Molly, what's happened in the last 145 00:09:00,280 --> 00:09:04,000 Speaker 3: few weeks, as Doge and other parts of the administration 146 00:09:04,160 --> 00:09:07,000 Speaker 3: have been sort of cutting a sway through Washington, what's 147 00:09:07,040 --> 00:09:09,520 Speaker 3: happened that has raised concerns around statistics. 148 00:09:10,160 --> 00:09:12,120 Speaker 2: So the biggest thing that I could point to so 149 00:09:12,320 --> 00:09:18,400 Speaker 2: far has been the administration terminating these statistical advisory committees. 150 00:09:18,440 --> 00:09:21,920 Speaker 2: And this was part of a broader executive order aimed 151 00:09:22,000 --> 00:09:25,400 Speaker 2: at reducing the scope of the federal government and eliminating 152 00:09:25,800 --> 00:09:30,680 Speaker 2: these committees wherever they were deemed unnecessary. And the thing 153 00:09:30,760 --> 00:09:34,400 Speaker 2: is about these committees, though at least for the statistical agencies, 154 00:09:34,520 --> 00:09:37,640 Speaker 2: is that they're made up of all volunteers. David can 155 00:09:37,679 --> 00:09:40,079 Speaker 2: speak to this also, he is chair of one of 156 00:09:40,120 --> 00:09:43,040 Speaker 2: these committees, so he knows this all too well. They're 157 00:09:43,080 --> 00:09:46,000 Speaker 2: all on a volunteer basis. They are not paid, they 158 00:09:46,040 --> 00:09:50,120 Speaker 2: are not employees of the federal government. And they generally 159 00:09:50,160 --> 00:09:52,960 Speaker 2: a lot of these committees met maybe two to four 160 00:09:53,000 --> 00:09:56,000 Speaker 2: times a year. And since COVID, it's all been virtual 161 00:09:56,040 --> 00:09:58,480 Speaker 2: for the most part, so they really had just about 162 00:09:58,600 --> 00:10:02,319 Speaker 2: zero cost to the government. I think the biggest budget 163 00:10:02,360 --> 00:10:04,760 Speaker 2: of any of them was maybe one hundred thousand dollars, 164 00:10:04,800 --> 00:10:07,840 Speaker 2: so this is certainly not or does is going to 165 00:10:07,880 --> 00:10:10,760 Speaker 2: be zeroing in on for the big for the big 166 00:10:10,800 --> 00:10:15,280 Speaker 2: bucks in terms of savings here. And it's really, if anything, 167 00:10:15,679 --> 00:10:18,960 Speaker 2: you know, these committees were there to advise the statistical 168 00:10:19,000 --> 00:10:21,960 Speaker 2: agencies about a whole range of things, whether it was 169 00:10:22,520 --> 00:10:24,600 Speaker 2: really how to keep up to date with our economy 170 00:10:24,640 --> 00:10:27,079 Speaker 2: which is ever evolving, and to make sure that the 171 00:10:27,160 --> 00:10:31,040 Speaker 2: data was commensurate with that and reflecting these new trends. 172 00:10:31,200 --> 00:10:34,320 Speaker 2: And it was really just a huge benefit to them 173 00:10:34,360 --> 00:10:37,960 Speaker 2: to have people on these committees that maybe were formerly 174 00:10:38,120 --> 00:10:41,600 Speaker 2: on these agencies themselves that maybe now work in academia 175 00:10:41,800 --> 00:10:45,080 Speaker 2: or our business economists work on Wall Street, in all 176 00:10:45,120 --> 00:10:50,120 Speaker 2: different real corners of economics and providing this free advice. 177 00:10:50,400 --> 00:10:53,840 Speaker 2: So if anything, now maybe you'd think, oh, well, not 178 00:10:53,960 --> 00:10:56,200 Speaker 2: that the government is going to be spending money on this, 179 00:10:56,360 --> 00:10:59,920 Speaker 2: but if they were to want a value of that back, 180 00:11:00,120 --> 00:11:02,920 Speaker 2: it would be through hiring consultants. But these people did 181 00:11:02,920 --> 00:11:07,319 Speaker 2: it for free. So committees. The committees that were terminated 182 00:11:07,480 --> 00:11:10,680 Speaker 2: include one to the Bureau of Economic Analysis, that's the 183 00:11:10,840 --> 00:11:14,839 Speaker 2: agency that pulls together the GDP report as well as 184 00:11:14,840 --> 00:11:19,400 Speaker 2: the Fed's preferred inflation gauge, the personal consumptions expenditures price index. 185 00:11:19,800 --> 00:11:22,960 Speaker 2: So the BA advisory committee was one. Another was the 186 00:11:23,000 --> 00:11:27,120 Speaker 2: one that David shared, which advised across the BA as 187 00:11:27,160 --> 00:11:30,200 Speaker 2: well as Bureau of Labor Statistics and Census. And I 188 00:11:30,240 --> 00:11:33,440 Speaker 2: also just learned that in the past week two of 189 00:11:33,480 --> 00:11:37,440 Speaker 2: the advisory committees to the BLS were also terminated, effective 190 00:11:37,520 --> 00:11:39,680 Speaker 2: actually a month ago, but those people only just found 191 00:11:39,720 --> 00:11:40,480 Speaker 2: out last week. 192 00:11:40,880 --> 00:11:43,280 Speaker 3: So just to tease this out, and it's just to 193 00:11:43,320 --> 00:11:47,560 Speaker 3: demonstrate how all over this story, David Wilcox is you 194 00:11:47,640 --> 00:11:50,760 Speaker 3: were personally, as Molly mentioned, you were personally running one 195 00:11:50,760 --> 00:11:54,600 Speaker 3: of these committees. Briefly, in terms of the value of 196 00:11:54,640 --> 00:11:57,880 Speaker 3: these organizations. I mean, it sounds like you were giving 197 00:11:57,880 --> 00:12:00,480 Speaker 3: them advice on improvements in the data, but I guess 198 00:12:00,480 --> 00:12:03,160 Speaker 3: there was also a little bit of an informal oversight 199 00:12:03,240 --> 00:12:07,000 Speaker 3: by the academic and sort of stakeholder community of changes 200 00:12:07,040 --> 00:12:09,080 Speaker 3: that were being considered by these bureaus. 201 00:12:09,160 --> 00:12:12,680 Speaker 1: Is that right, Yeah, that's right. It's important to note 202 00:12:13,080 --> 00:12:16,840 Speaker 1: that for all of these committees, the word advisory was 203 00:12:16,920 --> 00:12:20,080 Speaker 1: right in their title. We had no decision making power, 204 00:12:20,920 --> 00:12:23,679 Speaker 1: but we were populated by people who were at the 205 00:12:23,840 --> 00:12:27,760 Speaker 1: top of their fields with incredible expertise on the committee 206 00:12:27,760 --> 00:12:31,439 Speaker 1: that I was privileged to serve as chair for. One 207 00:12:31,440 --> 00:12:35,000 Speaker 1: of our members was Droona Jimoglu. You may have heard 208 00:12:35,000 --> 00:12:38,480 Speaker 1: his name because he's a recent recipient of the Nobel 209 00:12:38,559 --> 00:12:42,120 Speaker 1: Prize in economics. He was the only Nobel Prize winner. 210 00:12:42,160 --> 00:12:47,880 Speaker 1: But the committee was chock full of members. 211 00:12:47,480 --> 00:12:50,320 Speaker 3: Who were free. As Molly has underlie, they were getting 212 00:12:50,360 --> 00:12:51,559 Speaker 3: a value for money. 213 00:12:51,280 --> 00:12:54,359 Speaker 1: They were getting nothing in the way of an honorarium. 214 00:12:54,480 --> 00:12:58,240 Speaker 1: They were serving for the purpose of advancing the public good. 215 00:12:59,120 --> 00:13:03,480 Speaker 1: They came from a range of different areas of subspecialty. 216 00:13:04,040 --> 00:13:07,000 Speaker 1: What they had in common were two things. One was 217 00:13:07,040 --> 00:13:12,320 Speaker 1: a conviction that economic measurement is difficult, ever changing, and 218 00:13:12,559 --> 00:13:18,320 Speaker 1: super important for decision makers across society. And secondly, they 219 00:13:18,400 --> 00:13:21,840 Speaker 1: had the conviction that what they were doing had a 220 00:13:21,920 --> 00:13:24,880 Speaker 1: risk of making a difference if they said something smart. 221 00:13:25,880 --> 00:13:28,880 Speaker 1: The agency heads were in the room, the subject area 222 00:13:29,120 --> 00:13:31,800 Speaker 1: experts were in the room, and there was a risk, 223 00:13:32,360 --> 00:13:36,920 Speaker 1: just a risk, that the agency might change direction as 224 00:13:36,960 --> 00:13:38,680 Speaker 1: a result of their advice. 225 00:13:39,440 --> 00:13:41,200 Speaker 3: So I guess you have to wonder a little bit 226 00:13:41,240 --> 00:13:44,560 Speaker 3: why you wouldn't want a free and very well founded, 227 00:13:44,679 --> 00:13:48,760 Speaker 3: deeply researched views by members of that broader community that 228 00:13:48,920 --> 00:13:52,280 Speaker 3: uses economic statistics. But if you were making a change, 229 00:13:52,320 --> 00:13:55,240 Speaker 3: for example, I don't know. We've heard the COMMA Secretary 230 00:13:55,280 --> 00:13:59,880 Speaker 3: Howard Lutnik suggest take the government's share of the economy 231 00:14:00,080 --> 00:14:02,760 Speaker 3: out of GDP. Would that be something that the Advisory 232 00:14:02,760 --> 00:14:04,040 Speaker 3: Committee would have had views on? 233 00:14:04,080 --> 00:14:06,760 Speaker 1: Do you think, David, absolutely, we would have had views. 234 00:14:06,800 --> 00:14:09,520 Speaker 1: Whether they would have come and asked us, I think 235 00:14:09,600 --> 00:14:13,760 Speaker 1: that's open to question. It's such a basic question. It's 236 00:14:13,800 --> 00:14:17,840 Speaker 1: been long settled. It was debated fifty sixty years ago 237 00:14:17,960 --> 00:14:21,360 Speaker 1: when the whole concept of national income and product accounts 238 00:14:21,840 --> 00:14:26,760 Speaker 1: was being invented. But that's been resolved literally for decades. 239 00:14:27,240 --> 00:14:31,120 Speaker 1: It is now a matter of both national norms and 240 00:14:31,280 --> 00:14:38,600 Speaker 1: international standards that government demand is included in the field 241 00:14:38,600 --> 00:14:42,080 Speaker 1: of activity that's taken into account for purposes of tallying 242 00:14:42,400 --> 00:14:45,680 Speaker 1: gross domestic product or what we all know as GDP. 243 00:14:46,160 --> 00:14:48,360 Speaker 3: And of course it's true. It makes reporters immediately think, 244 00:14:48,440 --> 00:14:51,120 Speaker 3: oh my god, and economists think, how could you possibly 245 00:14:51,120 --> 00:14:54,040 Speaker 3: start comparing countries if you suddenly had a totally new series. 246 00:14:54,320 --> 00:14:57,080 Speaker 2: You know, David and I have spoken about this extensively 247 00:14:57,160 --> 00:15:01,160 Speaker 2: as well, and something that when I about this a 248 00:15:01,200 --> 00:15:03,600 Speaker 2: couple of weeks ago, that really stood out to me 249 00:15:03,800 --> 00:15:06,920 Speaker 2: that he said was there's this one idea of like 250 00:15:07,200 --> 00:15:10,360 Speaker 2: maybe Lutnik was just floating the idea of how the 251 00:15:10,440 --> 00:15:14,880 Speaker 2: data is presented, as in, maybe the government spending figure 252 00:15:15,000 --> 00:15:17,320 Speaker 2: is still there in the GDP report, but they publish 253 00:15:17,760 --> 00:15:20,360 Speaker 2: let's call it, like a maybe so called core GDP 254 00:15:20,800 --> 00:15:22,960 Speaker 2: that excludes it, so that you can still see it. 255 00:15:23,000 --> 00:15:24,840 Speaker 2: You can add it back in if that's how you 256 00:15:25,000 --> 00:15:27,640 Speaker 2: choose to calculate it, which is the still standard way. 257 00:15:27,960 --> 00:15:31,400 Speaker 2: That's one thing, not great, but you would still have 258 00:15:31,520 --> 00:15:34,040 Speaker 2: the data there. It's not like it's been eliminated that 259 00:15:34,080 --> 00:15:37,520 Speaker 2: you could calculate it yourself. The real concern, which I 260 00:15:37,520 --> 00:15:39,960 Speaker 2: don't know that this is what Lutnik was implying, but 261 00:15:40,120 --> 00:15:44,560 Speaker 2: certainly you could make this inference, was that what if 262 00:15:44,600 --> 00:15:47,360 Speaker 2: the GDP report just did not publish government spending it 263 00:15:47,400 --> 00:15:49,880 Speaker 2: all anymore? What if that data just simply was not 264 00:15:49,960 --> 00:15:53,440 Speaker 2: collected anymore, and that calculation then could not be made 265 00:15:53,560 --> 00:15:56,640 Speaker 2: the same way. That's more the concern when I talk 266 00:15:56,760 --> 00:16:00,600 Speaker 2: to people who are at the statistical agencies in the 267 00:16:00,840 --> 00:16:03,880 Speaker 2: let's call it the alumni community of the agencies, that 268 00:16:03,920 --> 00:16:07,440 Speaker 2: they're really worried looking from the outside in and I know. 269 00:16:07,440 --> 00:16:09,920 Speaker 3: For various reasons, Molly, You've been sort of calling around, 270 00:16:11,000 --> 00:16:13,440 Speaker 3: particularly in the last few weeks, people who work at 271 00:16:13,440 --> 00:16:16,960 Speaker 3: these agencies insofar as you know them, and also people 272 00:16:17,040 --> 00:16:20,560 Speaker 3: who've formerly worked there. I mean, how nervous are they 273 00:16:20,680 --> 00:16:24,840 Speaker 3: specifically around this question of the statistical agencies? What are 274 00:16:24,880 --> 00:16:25,680 Speaker 3: you picking up. 275 00:16:26,360 --> 00:16:28,560 Speaker 2: The thing that the biggest thing is to what extent 276 00:16:28,640 --> 00:16:32,600 Speaker 2: can the government interfere with statistics? And I don't want 277 00:16:32,640 --> 00:16:35,800 Speaker 2: to be here fear mongering, because I think that's you know, 278 00:16:35,880 --> 00:16:37,840 Speaker 2: a lot of what has happened in the last two 279 00:16:37,880 --> 00:16:40,640 Speaker 2: months is really, of course, as Trump is really pushing 280 00:16:40,640 --> 00:16:43,880 Speaker 2: the boundaries of what the executive branch can do, and 281 00:16:44,040 --> 00:16:46,120 Speaker 2: it's created a lot of questions of, oh, if he 282 00:16:46,160 --> 00:16:48,800 Speaker 2: did X, can he do why? Or does X then 283 00:16:48,840 --> 00:16:51,280 Speaker 2: apply to something else? And I certainly don't want to 284 00:16:51,280 --> 00:16:54,480 Speaker 2: be out here raising concerns that are unfounded. But these 285 00:16:54,520 --> 00:16:57,560 Speaker 2: are just questions that people have and are very much 286 00:16:58,240 --> 00:17:00,880 Speaker 2: spoken about in this community of people who I talk to. 287 00:17:01,160 --> 00:17:05,080 Speaker 2: So one of them is definitely seeing political interference in 288 00:17:05,119 --> 00:17:08,520 Speaker 2: the numbers. And one of the reasons why US economic 289 00:17:08,600 --> 00:17:11,560 Speaker 2: data is considered among the gold standard for the rest 290 00:17:11,560 --> 00:17:15,080 Speaker 2: of the world is because it's largely impartial that the 291 00:17:15,119 --> 00:17:19,400 Speaker 2: people who produce these numbers are mostly civil servants. They 292 00:17:19,520 --> 00:17:24,359 Speaker 2: are not political appointees. Certainly the heads of the agencies are, 293 00:17:24,400 --> 00:17:27,560 Speaker 2: but everyone is there with just a real commitment to 294 00:17:27,640 --> 00:17:30,440 Speaker 2: producing a public good. And as David was saying, you 295 00:17:30,480 --> 00:17:33,520 Speaker 2: know that the value of these numbers for making decisions 296 00:17:33,520 --> 00:17:37,440 Speaker 2: across all levels of decision making and policy making, that's 297 00:17:37,520 --> 00:17:40,000 Speaker 2: really what the core of the mission is all about. 298 00:17:40,520 --> 00:17:43,720 Speaker 2: And you know, people have raised ideas of seeing how 299 00:17:43,720 --> 00:17:47,399 Speaker 2: in other countries that have more authoritarian regimes, where the 300 00:17:47,480 --> 00:17:51,959 Speaker 2: numbers can be politically influenced, like in Russia, like Argentina 301 00:17:52,040 --> 00:17:55,280 Speaker 2: has had a past with this during the Greek debt crisis. 302 00:17:55,280 --> 00:17:58,960 Speaker 2: There have been other examples where politicians have found the 303 00:17:59,000 --> 00:18:04,600 Speaker 2: way to somehow insert themselves in the data to varying extents, 304 00:18:04,680 --> 00:18:07,720 Speaker 2: and that seems to be the real concern here or 305 00:18:08,080 --> 00:18:11,400 Speaker 2: something else that people raise too is especially now as 306 00:18:11,800 --> 00:18:14,960 Speaker 2: we're starting to get a better idea of how tariffs 307 00:18:14,960 --> 00:18:19,520 Speaker 2: would impact the economy, namely through slower growth and faster 308 00:18:19,760 --> 00:18:22,800 Speaker 2: or at least more elevated inflation. The idea of what 309 00:18:22,840 --> 00:18:25,199 Speaker 2: if Trump's he's a report that he doesn't like and 310 00:18:25,640 --> 00:18:28,960 Speaker 2: could would the agencies just simply not report it that one. 311 00:18:29,080 --> 00:18:32,360 Speaker 2: I don't know if that really has a material risk 312 00:18:32,400 --> 00:18:33,400 Speaker 2: of happening. 313 00:18:33,000 --> 00:18:35,560 Speaker 3: Probably more than most places. We're very sort of hardwired 314 00:18:35,600 --> 00:18:38,680 Speaker 3: for the time and date of the release of these 315 00:18:38,720 --> 00:18:41,640 Speaker 3: numbers exactly all hell would break. Well, well, maybe we'll 316 00:18:41,640 --> 00:18:43,320 Speaker 3: find out, but I mean we should say none of 317 00:18:43,320 --> 00:18:46,040 Speaker 3: these things have happened yet. And I guess you know, 318 00:18:46,080 --> 00:18:49,600 Speaker 3: one further thing to mention to you, Molly, is you 319 00:18:49,600 --> 00:18:52,240 Speaker 3: know it's true you can talk about the Argentina examples 320 00:18:52,280 --> 00:18:54,480 Speaker 3: and the Russia examples, but we know that governments are 321 00:18:54,480 --> 00:18:58,560 Speaker 3: perfectly capable of sort of distorting and messing up economic statistics, 322 00:18:58,600 --> 00:19:01,000 Speaker 3: not through any kind of ideological agenda, but just by 323 00:19:01,040 --> 00:19:04,280 Speaker 3: not giving these agencies enough money and enough people. I 324 00:19:04,400 --> 00:19:07,240 Speaker 3: noticed that. I mean, the UK has been getting itself 325 00:19:07,240 --> 00:19:09,879 Speaker 3: into trouble recently on this, both on its labor statistics, 326 00:19:09,920 --> 00:19:13,000 Speaker 3: which have been endlessly questioned, and they've had massive issues 327 00:19:13,000 --> 00:19:15,600 Speaker 3: with the surveys. Just this week, I think they've announced 328 00:19:15,640 --> 00:19:18,919 Speaker 3: that the main producer price index in the UK is 329 00:19:18,960 --> 00:19:21,320 Speaker 3: going to be suspended for a few months because of 330 00:19:21,720 --> 00:19:23,760 Speaker 3: nothing to do with the politics, but just because of 331 00:19:23,800 --> 00:19:26,919 Speaker 3: concerns about the surveys. So you did a piece that 332 00:19:27,000 --> 00:19:29,840 Speaker 3: rather sounded the alarm about this before any of this happened, 333 00:19:29,840 --> 00:19:34,119 Speaker 3: before the inauguration, just looking at the long standing underfunding 334 00:19:34,320 --> 00:19:36,719 Speaker 3: of these agencies, which I guess is what would make 335 00:19:36,760 --> 00:19:39,720 Speaker 3: you a little bit more worried now is because they're 336 00:19:39,760 --> 00:19:43,160 Speaker 3: not coming into this in fine fettle. They're actually already 337 00:19:43,280 --> 00:19:45,720 Speaker 3: kind of being quite scrimped and tailed. 338 00:19:46,440 --> 00:19:50,640 Speaker 2: Yeah, but these agencies have been underfunded for quite some time, and. 339 00:19:50,480 --> 00:19:52,480 Speaker 3: That by administrations of both parties. 340 00:19:52,800 --> 00:19:55,800 Speaker 2: Yes, the topic that really got me looking into this 341 00:19:55,880 --> 00:19:59,280 Speaker 2: issue more broadly was last year when the BLS said 342 00:19:59,720 --> 00:20:01,880 Speaker 2: it was going to have to cut the sample size 343 00:20:01,920 --> 00:20:04,639 Speaker 2: of one of the surveys in the Jobs Report, and 344 00:20:04,680 --> 00:20:07,280 Speaker 2: this is the survey that produces the unemployment rate and 345 00:20:07,320 --> 00:20:11,160 Speaker 2: the participation rate, among others, and that's still a concern. 346 00:20:11,200 --> 00:20:14,000 Speaker 2: They were able to stave off that sample size cut 347 00:20:14,040 --> 00:20:18,359 Speaker 2: temporarily through some short term funding last year, but still 348 00:20:18,400 --> 00:20:22,199 Speaker 2: TBD going forward. And this is exactly something that was 349 00:20:22,240 --> 00:20:25,720 Speaker 2: coming up in these Advisory Committee meetings that how can 350 00:20:25,760 --> 00:20:30,439 Speaker 2: we get that survey to be conducted online versus in person, 351 00:20:30,520 --> 00:20:32,680 Speaker 2: And that's something the BLS has been trying to do. 352 00:20:32,760 --> 00:20:35,800 Speaker 2: But guess what it costs money, So you need at 353 00:20:35,880 --> 00:20:39,000 Speaker 2: least an initial investment before these things will cost less 354 00:20:39,000 --> 00:20:39,760 Speaker 2: in the long run. 355 00:20:40,119 --> 00:20:43,760 Speaker 1: Stephanie, I think our listener's list of concerns is probably 356 00:20:43,800 --> 00:20:46,560 Speaker 1: not long enough, so can I add one more big one? 357 00:20:46,880 --> 00:20:47,360 Speaker 3: Always? 358 00:20:48,119 --> 00:20:51,399 Speaker 1: Last week, the IRS was reported to be close to 359 00:20:51,680 --> 00:20:56,240 Speaker 1: reaching an agreement with Immigrations and Customs Enforcement, and under 360 00:20:56,359 --> 00:21:01,639 Speaker 1: that agreement, that Customs Enforcement they agency known as ICE, 361 00:21:02,200 --> 00:21:06,359 Speaker 1: would send names and addresses to the IRS, which is 362 00:21:06,440 --> 00:21:09,719 Speaker 1: our tax collecting authority in the United States, and the 363 00:21:09,800 --> 00:21:14,440 Speaker 1: IRS would verify the names and addresses. What on earth 364 00:21:14,440 --> 00:21:18,600 Speaker 1: does that have to do with economic data. It strikes 365 00:21:18,640 --> 00:21:22,320 Speaker 1: at the heart of the trust relationship between the government 366 00:21:22,480 --> 00:21:26,359 Speaker 1: and respondents because when respondents agree to participate in a survey, 367 00:21:26,400 --> 00:21:30,120 Speaker 1: they are assured in no uncertain terms that their responses 368 00:21:30,160 --> 00:21:35,680 Speaker 1: will be used quote for statistical purposes only. That's exactly 369 00:21:35,800 --> 00:21:41,040 Speaker 1: because respondents fear turning over valuable data to the United 370 00:21:41,040 --> 00:21:45,320 Speaker 1: States government and having it potentially used for an enforcement purpose. 371 00:21:45,359 --> 00:21:49,400 Speaker 1: They don't want to become criminally liable because they took 372 00:21:49,440 --> 00:21:53,760 Speaker 1: the public spirited action of participating in an economic survey. 373 00:21:54,160 --> 00:22:00,720 Speaker 1: So this IRS action risks setting a very damaging that 374 00:22:00,800 --> 00:22:04,680 Speaker 1: could strike at the heart of the trust foundation of 375 00:22:05,200 --> 00:22:06,440 Speaker 1: US economic data. 376 00:22:06,920 --> 00:22:09,560 Speaker 2: And actually to that note, there was a note from 377 00:22:09,640 --> 00:22:12,520 Speaker 2: Goldman Sachs, I think in the past week saying that 378 00:22:12,560 --> 00:22:16,520 Speaker 2: the response rate to the Job's Household Survey by foreign 379 00:22:16,520 --> 00:22:19,840 Speaker 2: born workers has already declined. So I mean, I don't 380 00:22:19,880 --> 00:22:21,920 Speaker 2: think it would have been because of this already, since 381 00:22:21,960 --> 00:22:24,880 Speaker 2: the IRS development that David was just talking about only 382 00:22:25,000 --> 00:22:28,000 Speaker 2: just happened in the past week, but certainly reason to 383 00:22:28,240 --> 00:22:31,560 Speaker 2: think that foreign born people in this country would have 384 00:22:32,040 --> 00:22:34,880 Speaker 2: certainly less incentive to reply to government surveys. 385 00:22:35,240 --> 00:22:37,640 Speaker 3: I mean, I guess we should say, Molly that the 386 00:22:37,640 --> 00:22:40,800 Speaker 3: heads of these agencies have not been appointed or replaced 387 00:22:40,920 --> 00:22:42,040 Speaker 3: by Donald Trump yet. 388 00:22:42,800 --> 00:22:46,719 Speaker 2: That's correct. So the heads of these agencies, those are 389 00:22:46,880 --> 00:22:50,120 Speaker 2: roles that are politically appointed. The vast majority of people 390 00:22:50,160 --> 00:22:52,800 Speaker 2: who work in these agencies are civil servants, but the 391 00:22:52,920 --> 00:22:57,640 Speaker 2: leads are political appointees. And right now there is actually 392 00:22:57,800 --> 00:23:02,800 Speaker 2: one vacancy the Census direct Rob Santos. He's resigned from 393 00:23:02,800 --> 00:23:06,640 Speaker 2: his role shortly after Trump was inaugurated, so Trump will 394 00:23:06,640 --> 00:23:09,640 Speaker 2: have the chance to fill that role. I haven't heard 395 00:23:09,640 --> 00:23:12,520 Speaker 2: anything yet about where the progress on that stands. But 396 00:23:13,080 --> 00:23:16,399 Speaker 2: Census is really interesting because that was seems like in 397 00:23:16,400 --> 00:23:19,359 Speaker 2: his first term, that was the agency that Trump seemed 398 00:23:19,359 --> 00:23:22,400 Speaker 2: to square in on the most. Trump certainly has done 399 00:23:22,400 --> 00:23:25,240 Speaker 2: that a lot, has said the jobs numbers are phony 400 00:23:25,320 --> 00:23:28,760 Speaker 2: and fake. But when he's gone after census, it really 401 00:23:28,800 --> 00:23:32,120 Speaker 2: has had to deal more with a question about citizenship 402 00:23:32,160 --> 00:23:35,359 Speaker 2: and whether that should be included in the decential count. 403 00:23:35,720 --> 00:23:38,000 Speaker 2: And this was an issue that went all the way 404 00:23:38,080 --> 00:23:41,400 Speaker 2: up to the Supreme Court in his first term, and 405 00:23:41,680 --> 00:23:44,240 Speaker 2: this is probably something that Trump will want to revisit 406 00:23:44,359 --> 00:23:47,679 Speaker 2: this time around. The reason why it's so important is 407 00:23:47,760 --> 00:23:51,320 Speaker 2: because people who respond to the census, this is used 408 00:23:51,320 --> 00:23:55,639 Speaker 2: to then divvy up federal funding and congressional seats. So 409 00:23:56,240 --> 00:23:58,679 Speaker 2: he has an interest then to say, if you know, 410 00:23:58,720 --> 00:24:00,879 Speaker 2: if you're not a citizen, then you should not be 411 00:24:00,920 --> 00:24:03,240 Speaker 2: included in the census, and then your district then should 412 00:24:03,240 --> 00:24:07,399 Speaker 2: be not receiving appropriations and congressional seats as a result. 413 00:24:07,520 --> 00:24:10,000 Speaker 2: So this is probably something that he would have a 414 00:24:10,080 --> 00:24:12,080 Speaker 2: vested interest in taking on in this term. 415 00:24:12,440 --> 00:24:15,120 Speaker 3: I'm just trying to step back a little bit as 416 00:24:15,119 --> 00:24:17,639 Speaker 3: we kind of near the end of this there's a 417 00:24:17,680 --> 00:24:21,440 Speaker 3: lot of things that people are worried about. Some would say, 418 00:24:21,680 --> 00:24:25,080 Speaker 3: you know, hysterical about with regard to some of the 419 00:24:25,119 --> 00:24:28,400 Speaker 3: things that this administration is doing, the kind of concerns 420 00:24:28,440 --> 00:24:31,280 Speaker 3: that we've been talking about, And I mean, you're correct me, David, 421 00:24:31,280 --> 00:24:33,520 Speaker 3: but it feels like there's kind of two different things. 422 00:24:33,600 --> 00:24:38,439 Speaker 3: There's the extent of executive power, which definitely arises in 423 00:24:38,480 --> 00:24:42,200 Speaker 3: this question around the firing of the commissioners and potentially 424 00:24:42,240 --> 00:24:46,160 Speaker 3: officials other independent agencies, which as you pointed out, will 425 00:24:46,160 --> 00:24:50,359 Speaker 3: be litigated, has already been chipped away by the Supreme Court, 426 00:24:50,680 --> 00:24:54,480 Speaker 3: and they may yet decide that actually the president has 427 00:24:54,480 --> 00:24:57,480 Speaker 3: a right to pire and fire people at these agencies 428 00:24:57,520 --> 00:25:02,440 Speaker 3: that are to some extent already implement the administration's policies. 429 00:25:03,440 --> 00:25:05,240 Speaker 3: That seems to be one set of things which is 430 00:25:05,280 --> 00:25:07,800 Speaker 3: about the nature of executive power, and you can disagree 431 00:25:07,800 --> 00:25:10,840 Speaker 3: about that. But there's a whole other set of things 432 00:25:10,880 --> 00:25:13,359 Speaker 3: that I think relate more to these this question of 433 00:25:13,400 --> 00:25:16,080 Speaker 3: the statistics and the independence of the statistics, which is 434 00:25:16,119 --> 00:25:21,879 Speaker 3: around whether there's oversight over the quality of these statistics 435 00:25:21,920 --> 00:25:27,560 Speaker 3: and whether there could be lasting problems arising from things 436 00:25:27,560 --> 00:25:30,280 Speaker 3: that administration has done which may not even be intentional. 437 00:25:31,119 --> 00:25:33,639 Speaker 3: Just on those second set of things, how much do 438 00:25:33,720 --> 00:25:39,040 Speaker 3: you David see the scope for distorting data or just 439 00:25:39,280 --> 00:25:42,000 Speaker 3: having it be kind of fundamentally undermined by things that 440 00:25:42,040 --> 00:25:42,560 Speaker 3: are happening. 441 00:25:43,560 --> 00:25:47,960 Speaker 1: Well, the tradition in the United States is very strong. 442 00:25:48,720 --> 00:25:53,800 Speaker 1: The agencies have coded in their DNA that they resist 443 00:25:54,000 --> 00:25:59,000 Speaker 1: political interference. The most notorious example of this in history 444 00:25:59,200 --> 00:26:03,919 Speaker 1: occurred in the administration when President Nixon was caught on 445 00:26:04,119 --> 00:26:09,280 Speaker 1: tape from the Oval Office expressing really venomous views about 446 00:26:09,720 --> 00:26:13,000 Speaker 1: how he felt that the Bureau of Labor Statistics, the 447 00:26:13,400 --> 00:26:17,040 Speaker 1: agency that, as Molly mentioned, generates the unemployment rate and 448 00:26:17,080 --> 00:26:19,879 Speaker 1: other key data, how they were out quote unquote to 449 00:26:19,920 --> 00:26:24,080 Speaker 1: get him, and he was determined to undermine them. 450 00:26:24,320 --> 00:26:26,000 Speaker 3: You know what's brilliant is that is not the thing 451 00:26:26,000 --> 00:26:28,320 Speaker 3: that most people remember about President Nixon, that he was 452 00:26:28,359 --> 00:26:31,560 Speaker 3: out to undermine the of Labor Stistics, and I did 453 00:26:31,600 --> 00:26:33,840 Speaker 3: not know it until now. So I think that thank 454 00:26:33,880 --> 00:26:34,320 Speaker 3: you for that. 455 00:26:34,800 --> 00:26:39,040 Speaker 1: Absolutely. A through line for both of the issues that 456 00:26:39,119 --> 00:26:43,280 Speaker 1: you described, Stephanie, is the question of trust, And as 457 00:26:43,480 --> 00:26:48,240 Speaker 1: in many areas of life, trust in these areas that 458 00:26:48,320 --> 00:26:52,639 Speaker 1: you were describing is very difficult to accumulate. Building it 459 00:26:52,760 --> 00:26:57,680 Speaker 1: up is the work of years, decades, if not generations. 460 00:26:58,160 --> 00:27:02,200 Speaker 1: Destroying trust can happen, and in a jiffy it can 461 00:27:02,359 --> 00:27:08,159 Speaker 1: trust can be devastated through a single action, and that 462 00:27:08,720 --> 00:27:13,040 Speaker 1: damage is extremely difficult to repair. So that in this 463 00:27:13,520 --> 00:27:15,040 Speaker 1: there are a lot of things that keep me up 464 00:27:15,040 --> 00:27:19,000 Speaker 1: at night in this area, that's the one that keeps 465 00:27:19,040 --> 00:27:20,240 Speaker 1: me up at night most. 466 00:27:21,920 --> 00:27:24,480 Speaker 3: I think we decided that if it keeps David Wilcox 467 00:27:24,560 --> 00:27:28,640 Speaker 3: up at night, given his many years of experience at 468 00:27:28,640 --> 00:27:30,879 Speaker 3: things that matter very deeply to Trump and Nomics, that 469 00:27:31,000 --> 00:27:34,720 Speaker 3: was worth an episode. Thank you very much, David, Thank you, Molly. 470 00:27:34,920 --> 00:27:37,760 Speaker 1: Thank you, Thank you for having us on to discuss 471 00:27:37,800 --> 00:27:38,760 Speaker 1: these important issues. 472 00:27:45,480 --> 00:27:48,000 Speaker 3: Thanks for listening to Trump Andomics from Bloomberg. It was 473 00:27:48,040 --> 00:27:50,800 Speaker 3: hosted by Me Stephanie Flanders. I was joined by David 474 00:27:50,800 --> 00:27:54,119 Speaker 3: Wilcox and Molly Smith. Trump and Nomics is produced by 475 00:27:54,119 --> 00:27:57,800 Speaker 3: Samasadi and Moses and with help from Chris Martlu and 476 00:27:57,840 --> 00:28:02,160 Speaker 3: Amy Keene and sound designed by Blake Maple's Brendan Francis 477 00:28:02,200 --> 00:28:05,760 Speaker 3: Newnham is our executive producer and to help others find 478 00:28:05,800 --> 00:28:08,840 Speaker 3: the show, please rate it and review it highly wherever 479 00:28:08,920 --> 00:28:09,920 Speaker 3: you listen to podcasts