1 00:00:02,720 --> 00:00:09,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Tariffs are about making 2 00:00:09,640 --> 00:00:13,440 Speaker 1: America rich again and making America great again. And it's happening, 3 00:00:13,480 --> 00:00:17,200 Speaker 1: and it will happen rather quickly. There'll be a little disturbance, 4 00:00:18,239 --> 00:00:20,000 Speaker 1: but we're okay with that. 5 00:00:29,720 --> 00:00:32,479 Speaker 2: Welcome to Trumponomics, the podcast that looks at the economic 6 00:00:32,520 --> 00:00:36,120 Speaker 2: world of Donald Trump, how he's already shaped the global economy, 7 00:00:36,240 --> 00:00:40,479 Speaker 2: and what on earth is going to happen next. Today 8 00:00:40,520 --> 00:00:44,440 Speaker 2: we're asking have Donald Trump and Elon Musk stalled the 9 00:00:44,600 --> 00:00:48,159 Speaker 2: US economy? A week or two ago, the highly influential 10 00:00:48,640 --> 00:00:52,040 Speaker 2: now cast of the US economy that updates every day 11 00:00:52,560 --> 00:00:54,680 Speaker 2: was suggesting that the US economy was going to grow 12 00:00:54,680 --> 00:00:57,480 Speaker 2: at an annual rate of two point three percent in 13 00:00:57,480 --> 00:00:59,720 Speaker 2: the first three months of this year. But now a 14 00:01:00,080 --> 00:01:03,560 Speaker 2: lieu of negative data just in the past week has 15 00:01:03,600 --> 00:01:07,920 Speaker 2: that measure predicting the economy will shrink by nearly three percent. Now, 16 00:01:07,959 --> 00:01:11,240 Speaker 2: that's the first time that gauge has turned negative since 17 00:01:11,280 --> 00:01:14,240 Speaker 2: twenty twenty two. Now it's just one measure, it's a 18 00:01:14,319 --> 00:01:17,680 Speaker 2: now cast, It jumps around, But several prominent Wall Street 19 00:01:17,720 --> 00:01:21,640 Speaker 2: forecasters are also now expecting the US economy to shrink 20 00:01:22,120 --> 00:01:25,520 Speaker 2: just in those first three months of the year, and investors, 21 00:01:25,760 --> 00:01:28,880 Speaker 2: amid all the gloom, amid all the worry about tariffs 22 00:01:28,920 --> 00:01:32,360 Speaker 2: and other things, are betting on three interest rate cuts 23 00:01:32,560 --> 00:01:35,240 Speaker 2: by the US Central Bank, the FED to support the 24 00:01:35,280 --> 00:01:38,040 Speaker 2: economy this year, rather more than they were expecting a 25 00:01:38,160 --> 00:01:41,679 Speaker 2: while back. So is this all Donald Trump an Elon 26 00:01:41,800 --> 00:01:45,000 Speaker 2: Musk's fault instead of that Trump bump to the economy 27 00:01:45,000 --> 00:01:46,600 Speaker 2: that we were talking about at the beginning of the year. 28 00:01:46,880 --> 00:01:51,440 Speaker 2: Has a combination of layoffs in the federal government, sweeping tariffs, 29 00:01:51,440 --> 00:01:54,680 Speaker 2: and a whole lot of uncertainty raised the prospect of 30 00:01:54,680 --> 00:01:57,760 Speaker 2: a Trump slump or is it as the Treasury sectary 31 00:01:57,840 --> 00:02:02,720 Speaker 2: Scott bessn't reassured us this week, just a period of transition. Well, 32 00:02:03,240 --> 00:02:06,160 Speaker 2: to answer that, we felt here at Trumponomics that we 33 00:02:06,240 --> 00:02:08,360 Speaker 2: had to double down on the number of economists on 34 00:02:08,400 --> 00:02:11,200 Speaker 2: the show. So we have two pH d economists, both 35 00:02:11,200 --> 00:02:14,200 Speaker 2: of whom spent time one time or another in the 36 00:02:14,200 --> 00:02:23,040 Speaker 2: President's Council of Economic Advisors in the recent past. First 37 00:02:23,120 --> 00:02:26,200 Speaker 2: our guest Catherine Holston, new to the show now at 38 00:02:26,200 --> 00:02:30,120 Speaker 2: Evercore ASI Research, was a senior economist in the White 39 00:02:30,120 --> 00:02:32,840 Speaker 2: House last year and before that in the Office of 40 00:02:32,840 --> 00:02:35,919 Speaker 2: the chief Economists of the World Bank. Catherine, very good 41 00:02:35,960 --> 00:02:36,760 Speaker 2: of you to be here. 42 00:02:37,040 --> 00:02:38,800 Speaker 1: Thank you so much for having me. It's great to 43 00:02:38,840 --> 00:02:39,200 Speaker 1: be here. 44 00:02:39,360 --> 00:02:41,880 Speaker 2: And our regular in house guest, Anna Wong, chief US 45 00:02:41,919 --> 00:02:45,400 Speaker 2: economists for Bloomberg Economics and also formerly an economist at 46 00:02:45,400 --> 00:02:48,320 Speaker 2: the Federal Reserve and at the Council of Economic Advisors 47 00:02:48,320 --> 00:02:51,320 Speaker 2: in the White House swamps comment during Donald Trump's first 48 00:02:51,360 --> 00:02:53,520 Speaker 2: time Anna, always good to have you. 49 00:02:54,000 --> 00:02:55,280 Speaker 3: Oh, it's good to be here again. 50 00:02:55,720 --> 00:02:58,040 Speaker 2: Look, there's two pieces of this, and I told you 51 00:02:58,080 --> 00:03:01,600 Speaker 2: before we started recording a little bit about having so 52 00:03:01,720 --> 00:03:05,200 Speaker 2: many super smart economists, though very happy that we're all women, 53 00:03:05,639 --> 00:03:09,040 Speaker 2: to talk about the impact of tariffs, of the so 54 00:03:09,120 --> 00:03:14,880 Speaker 2: called Department of Government efficiency, and just generally this mood 55 00:03:14,960 --> 00:03:17,800 Speaker 2: of gloom that seems to have been starting to descend 56 00:03:17,880 --> 00:03:20,080 Speaker 2: around the US economy in the last week or so 57 00:03:20,160 --> 00:03:24,160 Speaker 2: after so much optimism about in the first weeks after 58 00:03:24,320 --> 00:03:27,200 Speaker 2: President Trump was reelected. We're going to get into all that, 59 00:03:27,280 --> 00:03:29,239 Speaker 2: but maybe we could just have a top line view 60 00:03:29,280 --> 00:03:32,360 Speaker 2: of how you both think these two shocks, the tariff 61 00:03:32,400 --> 00:03:36,800 Speaker 2: shocks and what's happening to the federal government will affect 62 00:03:36,800 --> 00:03:39,360 Speaker 2: the economy. Catherine, I know that you are my old 63 00:03:39,480 --> 00:03:42,800 Speaker 2: friend and your colleague Krishna Guha have looked at both 64 00:03:42,880 --> 00:03:47,680 Speaker 2: trade policy uncertainty and the impact of Elon Musk's DOGE 65 00:03:47,720 --> 00:03:50,000 Speaker 2: efforts and how they affect growth this year. 66 00:03:50,560 --> 00:03:52,920 Speaker 1: So I'll start on the tariff side, and I'll mention 67 00:03:53,040 --> 00:03:55,400 Speaker 1: that I'm going to be comparing apples and oranges a 68 00:03:55,400 --> 00:03:58,000 Speaker 1: little bit in our estimates here, So I just want 69 00:03:58,040 --> 00:04:01,480 Speaker 1: to flag that. But this tariff scenario with twenty five 70 00:04:01,520 --> 00:04:04,440 Speaker 1: percent on Canada and Mexico going to twenty percent on 71 00:04:04,520 --> 00:04:08,560 Speaker 1: China matches the kind of max tariff scenario that we 72 00:04:08,680 --> 00:04:11,360 Speaker 1: laid out in a recent note. We think this could 73 00:04:11,440 --> 00:04:15,320 Speaker 1: add fifty basis points to core PCEE inflation in twenty 74 00:04:15,360 --> 00:04:18,880 Speaker 1: twenty five, another twenty basis points in twenty twenty six. 75 00:04:19,279 --> 00:04:22,119 Speaker 1: That's pretty substantially more than our base case in terms 76 00:04:22,120 --> 00:04:24,840 Speaker 1: of what the FED is looking at. That includes two 77 00:04:24,880 --> 00:04:28,040 Speaker 1: pieces in this shock here. One is the actual impact 78 00:04:28,080 --> 00:04:31,440 Speaker 1: of the tariffs, and then second the really big uncertainty 79 00:04:31,440 --> 00:04:34,799 Speaker 1: that we're seeing trade policy uncertainty, and there's good reason 80 00:04:34,839 --> 00:04:37,279 Speaker 1: to think that's going to continue to remain quite high, 81 00:04:37,560 --> 00:04:41,120 Speaker 1: potentially pushing up inflation expectations, which is what the FED 82 00:04:41,200 --> 00:04:46,000 Speaker 1: is of course worried about on the DOGE side of things. 83 00:04:46,040 --> 00:04:49,360 Speaker 1: Within the government, we think the impact in March, April 84 00:04:49,400 --> 00:04:52,560 Speaker 1: and May could lead to payroll employment growth that is 85 00:04:52,720 --> 00:04:55,680 Speaker 1: seventy thousand less than expected in a baseline, which is 86 00:04:55,720 --> 00:04:58,440 Speaker 1: a pretty big hit considering where we're at with payroll 87 00:04:58,480 --> 00:04:59,160 Speaker 1: growth right now. 88 00:04:59,240 --> 00:05:01,680 Speaker 2: We'll get into how that compares with the overall size 89 00:05:01,720 --> 00:05:04,279 Speaker 2: of the economy. But Anna, I mean just the same 90 00:05:04,360 --> 00:05:06,600 Speaker 2: question to you, your sort of top line thoughts on 91 00:05:06,680 --> 00:05:10,440 Speaker 2: this sort of double whammy that we have now coming 92 00:05:10,920 --> 00:05:13,839 Speaker 2: you know, at very similar time hitting the US economy 93 00:05:13,839 --> 00:05:17,160 Speaker 2: on the tariffs and the DOGE cuts. 94 00:05:17,600 --> 00:05:22,760 Speaker 3: Right, So my top line effect estimates on the direct tariff, 95 00:05:22,920 --> 00:05:26,159 Speaker 3: not including the uncertainty, or at least what I think 96 00:05:26,200 --> 00:05:29,320 Speaker 3: the FED will have is quite similar to Catherine's estimate. 97 00:05:29,400 --> 00:05:33,320 Speaker 3: So I have one point three percent hit on GDP 98 00:05:33,960 --> 00:05:38,279 Speaker 3: and also zero point eight percent increase on core PCE. 99 00:05:39,040 --> 00:05:42,479 Speaker 3: And these are the estimates implied from the general qualiber 100 00:05:42,560 --> 00:05:46,039 Speaker 3: model that the International Finance Division at the FED use 101 00:05:46,160 --> 00:05:49,719 Speaker 3: as a dashboard to track coming trade policy in the 102 00:05:49,720 --> 00:05:53,480 Speaker 3: first Trump administration, and typically the horizon is about two 103 00:05:53,600 --> 00:05:57,000 Speaker 3: years or two or three years. That's because that's usually 104 00:05:57,040 --> 00:06:00,440 Speaker 3: our forecast horizon. So if you take that point eight 105 00:06:00,680 --> 00:06:04,679 Speaker 3: percent core PCE inflation hit spread over to R three years, 106 00:06:04,680 --> 00:06:08,240 Speaker 3: with the maximum arriving in the first two years, that's 107 00:06:08,320 --> 00:06:11,960 Speaker 3: very close to where Catherine has on the uncertainty piece. 108 00:06:12,000 --> 00:06:15,480 Speaker 3: Though the experience of the First Trade War has taught 109 00:06:15,680 --> 00:06:19,880 Speaker 3: I think the FED economist that the general equilibrim model 110 00:06:20,200 --> 00:06:23,800 Speaker 3: the estimate might be a maximum take, because ultimately in 111 00:06:23,839 --> 00:06:26,160 Speaker 3: the First Trade War, both a GDP estimate and the 112 00:06:26,160 --> 00:06:30,120 Speaker 3: core PC estimate actually undershot what the model suggests. The 113 00:06:30,240 --> 00:06:34,159 Speaker 3: bigger piece is actually uncertainty, and the FED has developed 114 00:06:34,160 --> 00:06:38,919 Speaker 3: a trade policy uncertainty. Currently, the index of that trade 115 00:06:38,960 --> 00:06:43,400 Speaker 3: policy uncertainty developed by my former colleagues at a monthly 116 00:06:43,520 --> 00:06:48,159 Speaker 3: level is eleven standard deviation above historical norms, and it's 117 00:06:48,279 --> 00:06:53,039 Speaker 3: almost doubled the size of the first Trump administration trade 118 00:06:53,040 --> 00:06:57,520 Speaker 3: policy uncertainty. So that piece should be translating to a 119 00:06:57,640 --> 00:07:01,040 Speaker 3: hit GDP. Hit based on that value should be aboutero 120 00:07:01,040 --> 00:07:06,160 Speaker 3: point eight percent GDP and on DOGE, So I think 121 00:07:06,200 --> 00:07:09,680 Speaker 3: that the DOGE cuts so far or very small relative 122 00:07:09,720 --> 00:07:13,160 Speaker 3: to GDP, so really it doesn't really work in terms 123 00:07:13,160 --> 00:07:16,280 Speaker 3: of translating to GDP. However, keep in mind that it 124 00:07:16,360 --> 00:07:21,360 Speaker 3: is the difference in the fiscal impulse that affects GDP growth. Right, 125 00:07:21,440 --> 00:07:24,720 Speaker 3: So if the first two quarters of the DOCHE cuts 126 00:07:24,920 --> 00:07:28,640 Speaker 3: has generated a bigger change a decline in fiscal spending 127 00:07:28,680 --> 00:07:32,520 Speaker 3: compared to last year, which is the quarter still under Biden, 128 00:07:33,080 --> 00:07:36,640 Speaker 3: then that rate of change annualized could generate a pretty 129 00:07:36,720 --> 00:07:40,640 Speaker 3: large decline in GDP growth. And according to the shock 130 00:07:40,920 --> 00:07:45,120 Speaker 3: model that Bloomberg Economics has developed, the contour of the 131 00:07:45,200 --> 00:07:49,560 Speaker 3: GDP growth from DOCHE excitivities should begin to show up 132 00:07:49,560 --> 00:07:52,320 Speaker 3: in the first and second quarter of this year, and 133 00:07:52,560 --> 00:07:57,679 Speaker 3: especially peaking in terms of GDP growth in the fourth quarter. However, 134 00:07:57,960 --> 00:08:02,400 Speaker 3: the impact on payrolls, as Catherine suggested, will be more 135 00:08:02,440 --> 00:08:06,160 Speaker 3: obvious sooner, and the February payrolls, which we will be 136 00:08:06,200 --> 00:08:09,280 Speaker 3: receiving this Friday, we expect we won't be seeing much 137 00:08:09,320 --> 00:08:12,600 Speaker 3: of that yet. However you'll start to see that in 138 00:08:12,640 --> 00:08:16,360 Speaker 3: the next month. And also just again the uncertainty alone 139 00:08:16,800 --> 00:08:20,280 Speaker 3: you talked about the domain gloom economic data we have received. 140 00:08:20,800 --> 00:08:21,560 Speaker 2: What is a. 141 00:08:21,480 --> 00:08:25,920 Speaker 3: Sign of weakness is the pullback in consumption which we 142 00:08:25,960 --> 00:08:29,920 Speaker 3: saw in January. Last December it was very strong, but 143 00:08:30,000 --> 00:08:33,560 Speaker 3: then in January the consumers pulled back, so there's no 144 00:08:33,760 --> 00:08:37,319 Speaker 3: underlying strength and consumptions just pulling back. And as we 145 00:08:37,360 --> 00:08:40,040 Speaker 3: see more of this pullback as a retrenchment to the 146 00:08:40,080 --> 00:08:43,080 Speaker 3: strength last fall, you're going to see more and more 147 00:08:43,400 --> 00:08:46,160 Speaker 3: impetus on this pressure on GDP growth. 148 00:08:46,520 --> 00:08:50,440 Speaker 2: ANA in the sort of educational byways department, just to 149 00:08:50,480 --> 00:08:53,160 Speaker 2: get our sense around this trade policy uncertainty, and you 150 00:08:53,200 --> 00:08:57,320 Speaker 2: talk about it being eleven standard deviations from so when 151 00:08:57,360 --> 00:09:01,520 Speaker 2: you sit roughly meaning when we say that. 152 00:09:01,640 --> 00:09:04,240 Speaker 3: In terms of the index, this index goes back to 153 00:09:04,280 --> 00:09:09,360 Speaker 3: the nineteen sixties and the Fed Economist collected mentions of 154 00:09:09,440 --> 00:09:13,520 Speaker 3: the trade policy uncertainty or references of trade policy uncertainty 155 00:09:13,920 --> 00:09:17,880 Speaker 3: in media and social media and all the newspapers, and 156 00:09:18,280 --> 00:09:23,160 Speaker 3: right now the index has doubled the level of twenty sixteen, 157 00:09:23,400 --> 00:09:27,320 Speaker 3: which means that uncertainty is through the roof and there's 158 00:09:27,440 --> 00:09:31,560 Speaker 3: just no historical comparisons. Is nineteen sixty at the level 159 00:09:31,600 --> 00:09:33,360 Speaker 3: of uncertainty we're facing right now. 160 00:09:34,120 --> 00:09:36,160 Speaker 2: And I guess we have been saying that the tariffs 161 00:09:36,160 --> 00:09:39,040 Speaker 2: that were announced this week are taking US tariffs back 162 00:09:39,040 --> 00:09:41,199 Speaker 2: to where they were in the forties. Obviously we're still 163 00:09:41,240 --> 00:09:45,280 Speaker 2: not at the levels of that preceded that era, there 164 00:09:45,280 --> 00:09:48,320 Speaker 2: were much higher tariffs than the global economy before that, 165 00:09:48,400 --> 00:09:50,720 Speaker 2: and I guess that's one thing that the President says 166 00:09:50,800 --> 00:09:54,160 Speaker 2: is we're in some sense going back to some previous 167 00:09:54,160 --> 00:09:58,240 Speaker 2: eras for that, Anna was mentioning the fed's Trade policy 168 00:09:58,360 --> 00:10:02,000 Speaker 2: Uncertainty measure, which has become something as a sort of 169 00:10:02,000 --> 00:10:05,079 Speaker 2: standard thing that people refer to. But I noted in 170 00:10:05,120 --> 00:10:09,600 Speaker 2: your recent research with Krishna, you're also thinking about DOGE 171 00:10:09,679 --> 00:10:13,960 Speaker 2: policy uncertainty and starting to think that that might be 172 00:10:14,480 --> 00:10:17,240 Speaker 2: almost of the same order of magnitude. So could you 173 00:10:17,280 --> 00:10:19,080 Speaker 2: just talk us through it, because obviously I suspect you 174 00:10:19,120 --> 00:10:23,560 Speaker 2: agree that the narrow impact of those federal layoffs is 175 00:10:23,600 --> 00:10:26,320 Speaker 2: not necessarily going to move the dial that much. But 176 00:10:26,400 --> 00:10:30,160 Speaker 2: it's this sort of broader ripple effect that's. 177 00:10:30,120 --> 00:10:32,920 Speaker 1: Right, and we think it plays out, you know, maybe 178 00:10:32,960 --> 00:10:37,200 Speaker 1: quite similarly to how adding trade policy uncertainty to our 179 00:10:37,480 --> 00:10:41,240 Speaker 1: general equilibrium models does. Because the thing that's unique about 180 00:10:41,240 --> 00:10:44,240 Speaker 1: trade policy uncertainty right now is that it's much larger 181 00:10:44,240 --> 00:10:46,720 Speaker 1: in level terms, as Anna said, but it's also has 182 00:10:46,720 --> 00:10:49,600 Speaker 1: the potential to be very long lasting. And this is 183 00:10:49,640 --> 00:10:52,240 Speaker 1: really not what you would model if you were seeking 184 00:10:52,280 --> 00:10:55,079 Speaker 1: efficiency in the model, and so we wanted to think 185 00:10:55,080 --> 00:10:58,800 Speaker 1: about how the same impact might be coming out of DOGE, 186 00:10:59,080 --> 00:11:04,960 Speaker 1: and specifically how the uncertainty for private sector firms that 187 00:11:05,080 --> 00:11:10,560 Speaker 1: are heavily exposed to federal contracts and grants might weigh 188 00:11:10,720 --> 00:11:15,480 Speaker 1: on decisions to hire or potentially even do layoffs at 189 00:11:15,559 --> 00:11:19,120 Speaker 1: these firms. So there's three pieces that we look at here. 190 00:11:19,320 --> 00:11:22,200 Speaker 1: The first, as you mentioned, is the direct impact of 191 00:11:22,720 --> 00:11:26,520 Speaker 1: firing probationary employees and other employees in the federal government, 192 00:11:26,920 --> 00:11:30,320 Speaker 1: and that's relatively small given the number of workers that 193 00:11:30,360 --> 00:11:32,920 Speaker 1: we have in the US. There are two point four 194 00:11:33,000 --> 00:11:36,800 Speaker 1: million federal civilian employees. We don't know how many federal 195 00:11:36,840 --> 00:11:40,440 Speaker 1: contractors there are, but some estimates from Brookings suggest there 196 00:11:40,440 --> 00:11:42,520 Speaker 1: are more than five million, more than a two to 197 00:11:42,559 --> 00:11:47,280 Speaker 1: one ratio between federal contractors and federal employees, and another 198 00:11:47,400 --> 00:11:51,439 Speaker 1: two point four million employees potentially connected to grants. So 199 00:11:51,600 --> 00:11:55,040 Speaker 1: what we do is we look at first our baseline 200 00:11:55,120 --> 00:12:00,199 Speaker 1: for direct impacts on federal payrolls. This year, I think 201 00:12:00,240 --> 00:12:03,880 Speaker 1: there could be two hundred thousand federal workers fired over 202 00:12:03,920 --> 00:12:06,400 Speaker 1: the year. That includes the seventy five thousand who have 203 00:12:06,480 --> 00:12:10,679 Speaker 1: taken the deferred resignation scheme. But we also look at 204 00:12:10,679 --> 00:12:15,000 Speaker 1: two impacts on private sector payrolls. The first is really 205 00:12:15,080 --> 00:12:18,600 Speaker 1: just the direct impact for if there are substantial cuts 206 00:12:18,960 --> 00:12:21,960 Speaker 1: to federal contracts and grants. So we're not seeing that 207 00:12:22,040 --> 00:12:25,040 Speaker 1: yet on a large scale, but if that plays out, 208 00:12:25,360 --> 00:12:28,360 Speaker 1: we think it's reasonable to assume that firms are not 209 00:12:28,440 --> 00:12:30,360 Speaker 1: going to be able to hold onto all of their 210 00:12:30,400 --> 00:12:35,480 Speaker 1: employees as these contracts and grants are cut. The piece 211 00:12:35,520 --> 00:12:40,680 Speaker 1: that we're calling DOGE policy uncertainty or DPU, and here 212 00:12:40,720 --> 00:12:43,959 Speaker 1: I would just say TPU trade policy uncertainty. This is 213 00:12:44,000 --> 00:12:46,959 Speaker 1: something that's measured that we have an index going back 214 00:12:47,400 --> 00:12:50,480 Speaker 1: really far. DPU we're putting forward as a proof of 215 00:12:50,559 --> 00:12:54,319 Speaker 1: concept for just another form of uncertainty that's really unknown 216 00:12:54,320 --> 00:12:57,080 Speaker 1: how this will operate. And so this is not meant 217 00:12:57,120 --> 00:12:59,920 Speaker 1: to be precise estimates, but just to say, if we 218 00:13:00,120 --> 00:13:04,760 Speaker 1: make what we think are pretty modest reasonable assumptions, can 219 00:13:04,800 --> 00:13:07,640 Speaker 1: we see this having big impacts in the private sector. 220 00:13:07,920 --> 00:13:10,880 Speaker 1: And the answer that we get is yes. So we 221 00:13:10,960 --> 00:13:14,320 Speaker 1: first construct what we call employment at risk in the 222 00:13:14,360 --> 00:13:17,640 Speaker 1: private sector, and so this is just if at the 223 00:13:17,760 --> 00:13:22,400 Speaker 1: industry level, industries are receiving federal contracts, just look at 224 00:13:22,400 --> 00:13:25,520 Speaker 1: that relative to the share of output in those industries 225 00:13:26,040 --> 00:13:28,719 Speaker 1: and then look at how many employees we think might 226 00:13:28,760 --> 00:13:32,480 Speaker 1: be supported by these contracts. And then once we have that, 227 00:13:32,679 --> 00:13:37,000 Speaker 1: we can say, maybe, let's assume five percent of these 228 00:13:37,040 --> 00:13:41,640 Speaker 1: employees at risk are not maintained in payroll growth because 229 00:13:41,640 --> 00:13:44,839 Speaker 1: of this DOGE policy uncertainty. We want to think about 230 00:13:44,880 --> 00:13:48,800 Speaker 1: two kind of distinct scenarios around the uncertainty. The first 231 00:13:49,040 --> 00:13:52,720 Speaker 1: is uncertainty lasts for maybe three months. We can think 232 00:13:52,800 --> 00:13:55,480 Speaker 1: of this as a case where if you're a federal 233 00:13:55,480 --> 00:14:00,760 Speaker 1: contractor maybe you can maintain your current employees, you institute 234 00:14:00,760 --> 00:14:04,839 Speaker 1: a hiring freeze, leading payroll growth to be lower than 235 00:14:04,920 --> 00:14:09,160 Speaker 1: last year. And in this scenario, we might have uncertainty 236 00:14:09,240 --> 00:14:13,280 Speaker 1: resolving when DOGE kind of finishes whatever it's choosing to 237 00:14:13,320 --> 00:14:15,560 Speaker 1: do in a few months, and we might see some 238 00:14:15,679 --> 00:14:18,439 Speaker 1: catchup hiring over the rest of the year as these 239 00:14:18,480 --> 00:14:21,760 Speaker 1: firms go back and bring on workers. So in this case, 240 00:14:21,840 --> 00:14:24,600 Speaker 1: we see some larger impacts in March, April, and May, 241 00:14:25,920 --> 00:14:29,120 Speaker 1: but we then because of this catchup hiring in our baseline, 242 00:14:29,200 --> 00:14:32,320 Speaker 1: only see about fifty thousand fewer payroll over the year 243 00:14:32,320 --> 00:14:34,680 Speaker 1: coming out of this effect, which is really not very large. 244 00:14:35,120 --> 00:14:37,360 Speaker 1: But then we look at another scenario where we still 245 00:14:37,400 --> 00:14:41,320 Speaker 1: have a relatively low magnitude of uncertainty, but it drags 246 00:14:41,360 --> 00:14:44,960 Speaker 1: out over the remainder of twenty twenty five, and in 247 00:14:45,000 --> 00:14:48,000 Speaker 1: that case, we can get something like three hundred and 248 00:14:48,120 --> 00:14:51,600 Speaker 1: thirty thousand fewer payrolls over the year just from this 249 00:14:51,760 --> 00:14:55,920 Speaker 1: DPU effect, just by assuming that maybe initially firms are 250 00:14:56,000 --> 00:14:58,920 Speaker 1: hiring less, but then over time they're actually having to 251 00:14:59,120 --> 00:15:02,440 Speaker 1: go through with layof and the continued weight of this 252 00:15:02,560 --> 00:15:06,920 Speaker 1: uncertainty induces kind of a paralysis effect on these firms 253 00:15:06,960 --> 00:15:09,880 Speaker 1: that are pretty heavily exposed to federal contracts in grants. 254 00:15:10,160 --> 00:15:13,040 Speaker 2: It's interesting, just while we're recording this, which is on 255 00:15:13,080 --> 00:15:16,640 Speaker 2: a Tuesday afternoon, the S and P five hundred has 256 00:15:16,720 --> 00:15:19,960 Speaker 2: lost all the gains that it made since Donald Trump 257 00:15:20,080 --> 00:15:23,720 Speaker 2: was elected in November. We've had something like three point 258 00:15:23,760 --> 00:15:26,160 Speaker 2: four trillion dollars increase in the S and P five 259 00:15:26,240 --> 00:15:29,480 Speaker 2: hundred index that we'd had in the weeks after Donald 260 00:15:29,520 --> 00:15:33,160 Speaker 2: Trump's election win, and that has now all been completely 261 00:15:33,200 --> 00:15:35,480 Speaker 2: wiped out in a big chunk of it from this 262 00:15:35,760 --> 00:15:39,000 Speaker 2: the negativity around the tariff news. So neither of you 263 00:15:39,040 --> 00:15:41,080 Speaker 2: are market analysts, and I wouldn't ask you to comment 264 00:15:41,120 --> 00:15:44,480 Speaker 2: on that but is this overdone? How likely is it 265 00:15:44,560 --> 00:15:48,520 Speaker 2: that we will actually have a recession or a serious 266 00:15:48,560 --> 00:15:53,400 Speaker 2: bout of stagflation as a result of this, These policies 267 00:15:53,520 --> 00:15:56,400 Speaker 2: that have been it's fair to say, you know, unexpectedly 268 00:15:56,960 --> 00:16:00,000 Speaker 2: aggressive in the first few weeks of the Trump ad ministry. 269 00:16:01,080 --> 00:16:07,160 Speaker 3: Stackflation requires the word stack. Typically in a recession, with 270 00:16:07,360 --> 00:16:13,040 Speaker 3: contraction of economic activities, you also have a decline in inflation. 271 00:16:13,680 --> 00:16:18,040 Speaker 3: So for inflation to be rising, meaning that firms continuing 272 00:16:18,320 --> 00:16:23,200 Speaker 3: to be successful, not just trying, but successful at passing 273 00:16:23,240 --> 00:16:27,080 Speaker 3: through higher prices. For stackflation to happen, we will need 274 00:16:27,120 --> 00:16:29,960 Speaker 3: to see this. And that's not my baseline because I 275 00:16:30,040 --> 00:16:34,600 Speaker 3: still agree with Powell that inflation expectations are anchored and 276 00:16:34,680 --> 00:16:38,560 Speaker 3: from what we're seeing, firms actually have very little pricing 277 00:16:38,640 --> 00:16:42,360 Speaker 3: power left to pass through these price increase And second 278 00:16:42,360 --> 00:16:44,880 Speaker 3: of all, the second piece of these is that I 279 00:16:44,920 --> 00:16:48,440 Speaker 3: think that there's just structural component to tariffs and a 280 00:16:48,560 --> 00:16:53,200 Speaker 3: negotiation component to the tariffs, and the tariffs on Canada 281 00:16:53,320 --> 00:16:58,600 Speaker 3: and Mexico are the negotiation pillar of tariffs, and those 282 00:16:58,680 --> 00:17:01,600 Speaker 3: will go away. My baseline is that they'll come and 283 00:17:01,640 --> 00:17:05,200 Speaker 3: go really quickly. The ones on China was the ones 284 00:17:05,280 --> 00:17:08,200 Speaker 3: I have in my baseline, in my earlier baseline last year, 285 00:17:08,240 --> 00:17:12,159 Speaker 3: I have the tariffs on Chinese goods going to forty 286 00:17:12,200 --> 00:17:15,960 Speaker 3: five percent. We're very close to that. Now those will stick, 287 00:17:16,400 --> 00:17:18,679 Speaker 3: and I think that is the piece that to me, 288 00:17:18,920 --> 00:17:24,040 Speaker 3: is the biggest source of permanent inflationary risk, particularly because 289 00:17:24,440 --> 00:17:27,800 Speaker 3: a larger portion of the goods we import from China 290 00:17:27,880 --> 00:17:32,200 Speaker 3: are consumption goods as opposed to our trade with Canada 291 00:17:32,400 --> 00:17:36,400 Speaker 3: and Mexico, which are primarily intermediate goods. 292 00:17:37,520 --> 00:17:39,040 Speaker 2: And let just quickly come back on you, I mean, 293 00:17:39,080 --> 00:17:42,280 Speaker 2: careful listeners to this show will maybe note that though 294 00:17:42,280 --> 00:17:45,000 Speaker 2: you may well think there's an emphasis on negotiation in 295 00:17:45,040 --> 00:17:47,679 Speaker 2: the Canada and Mexico tariffs, we have all been and 296 00:17:47,720 --> 00:17:51,760 Speaker 2: you have been surprised so far by how willing and 297 00:17:52,000 --> 00:17:55,440 Speaker 2: aggressive Donald Trump has been to put these tariffs on. 298 00:17:56,119 --> 00:17:59,520 Speaker 2: We had a delay, but now against expectations, he's gone 299 00:17:59,560 --> 00:18:02,920 Speaker 2: ahead with full rate of twenty five percent. Many people 300 00:18:02,920 --> 00:18:05,160 Speaker 2: thought it would be graduated. It's fair to say you've 301 00:18:05,200 --> 00:18:06,080 Speaker 2: been a bit surprised. 302 00:18:07,320 --> 00:18:10,160 Speaker 3: Yeah, I was a bit surprised. Then I went back 303 00:18:10,240 --> 00:18:14,480 Speaker 3: to look at his playbook in twenty eighteen and twenty nineteen. 304 00:18:14,880 --> 00:18:18,159 Speaker 3: Then I realized there was a long period of the 305 00:18:18,240 --> 00:18:22,359 Speaker 3: FED in the first half of twenty nineteen where all 306 00:18:22,359 --> 00:18:25,639 Speaker 3: we worried about actually is not the Chinese tariffs, but 307 00:18:25,760 --> 00:18:30,080 Speaker 3: on auto tariffs and on tariffs on Canada and Mexico. 308 00:18:30,720 --> 00:18:34,280 Speaker 3: And recall that Trump was very close to using AIBA 309 00:18:34,320 --> 00:18:38,439 Speaker 3: on Mexico. Mexico was the country that was able to 310 00:18:38,680 --> 00:18:41,879 Speaker 3: push the line on using emergency power. This time he 311 00:18:42,000 --> 00:18:46,720 Speaker 3: actually used it. So what that period of tariffs spears 312 00:18:46,880 --> 00:18:50,440 Speaker 3: on Canada and Mexico shows is that it turns out 313 00:18:50,480 --> 00:18:53,879 Speaker 3: that those two countries are always on Trump's list to hit, 314 00:18:54,280 --> 00:18:55,040 Speaker 3: even back then. 315 00:18:55,640 --> 00:18:58,000 Speaker 2: Catherine, I think there's a few forecasses that are now 316 00:18:58,000 --> 00:19:00,960 Speaker 2: suggesting that no one is suggesting really that there will 317 00:19:00,960 --> 00:19:03,080 Speaker 2: be a recession. I mean, are we overdoing this or 318 00:19:03,160 --> 00:19:07,960 Speaker 2: is there actually in all this uncertainty a possible sort 319 00:19:08,000 --> 00:19:11,080 Speaker 2: of trigger point where we could be kind of find 320 00:19:11,119 --> 00:19:12,359 Speaker 2: ourselves in recession. 321 00:19:12,960 --> 00:19:15,359 Speaker 1: I don't think it's overdoing it that there's a trigger 322 00:19:15,400 --> 00:19:18,240 Speaker 1: point out there. I share a kind of Anna's base 323 00:19:18,320 --> 00:19:21,199 Speaker 1: case that the twenty five percent tariffs on Canada and 324 00:19:21,240 --> 00:19:24,680 Speaker 1: Mexico likely will not hold for very long, but that's 325 00:19:24,840 --> 00:19:28,119 Speaker 1: because they're just too economically damaging if they do. And 326 00:19:28,280 --> 00:19:30,560 Speaker 1: of course, if we end up in that scenario, it 327 00:19:30,720 --> 00:19:34,040 Speaker 1: changes the call. I think now I'm not seeing stagflation, 328 00:19:34,280 --> 00:19:36,879 Speaker 1: but if that seems like it's going to maintain, it 329 00:19:36,920 --> 00:19:37,840 Speaker 1: does change things. 330 00:19:38,000 --> 00:19:39,840 Speaker 2: So if we just carry on with the policies that 331 00:19:39,880 --> 00:19:43,800 Speaker 2: we now have implemented by the administration, the twenty five 332 00:19:43,840 --> 00:19:47,000 Speaker 2: percent tariffs against our two most important trading partners and 333 00:19:47,040 --> 00:19:49,160 Speaker 2: the ones that are forecast to come in I mean 334 00:19:49,680 --> 00:19:53,320 Speaker 2: actually have been declared to come in, that that would 335 00:19:53,320 --> 00:19:56,480 Speaker 2: potentially be ass cause of a recession where just everyone's 336 00:19:56,560 --> 00:19:57,760 Speaker 2: vetting on that they won't stick. 337 00:19:58,520 --> 00:20:00,840 Speaker 1: I don't think it's automatic res but I think the 338 00:20:01,040 --> 00:20:06,560 Speaker 1: risk really is there, and particularly there's so much trade 339 00:20:06,600 --> 00:20:09,520 Speaker 1: between these three countries, there's supply chain impacts that are 340 00:20:09,520 --> 00:20:11,920 Speaker 1: going to be really damaging. We've just seen the effects 341 00:20:11,960 --> 00:20:15,240 Speaker 1: of big supply chain disruptions. Of course, this is a 342 00:20:15,240 --> 00:20:18,280 Speaker 1: different way would play out than during the pandemic, but 343 00:20:18,720 --> 00:20:22,520 Speaker 1: we know that that can be quite inflationary, and I 344 00:20:22,520 --> 00:20:26,080 Speaker 1: would just stress that the economic fundamentals going into this 345 00:20:26,240 --> 00:20:29,280 Speaker 1: administration were quite good. So this is really kind of 346 00:20:29,280 --> 00:20:32,960 Speaker 1: a test case of how much policy uncertainty and actual 347 00:20:33,000 --> 00:20:36,080 Speaker 1: policies now with the tariffs, can we throw at things. 348 00:20:36,200 --> 00:20:39,600 Speaker 1: And to Anna's point about inflation expectations, the FED is 349 00:20:39,640 --> 00:20:43,160 Speaker 1: really trying to assess two things. They're trying to assess, 350 00:20:43,800 --> 00:20:46,560 Speaker 1: is weakening growth that we're now seeing in the data 351 00:20:46,600 --> 00:20:50,720 Speaker 1: going to feed into unemployment? And they're trying to assess 352 00:20:51,680 --> 00:20:55,240 Speaker 1: is the inflation risk going to show up in inflation expectations. 353 00:20:55,760 --> 00:20:58,800 Speaker 1: These are really the two triggers for movement one way 354 00:20:58,880 --> 00:21:01,840 Speaker 1: or the other. But the FED, the markets, the three 355 00:21:01,880 --> 00:21:05,960 Speaker 1: of us are all facing the same uncertainty in actually 356 00:21:06,000 --> 00:21:09,119 Speaker 1: seeing that underlying data. And so what's really difficult right 357 00:21:09,160 --> 00:21:12,800 Speaker 1: now is the TPU. The trade uncertainty is likely to 358 00:21:12,840 --> 00:21:16,480 Speaker 1: remain quite high. We think that this doge uncertainty could 359 00:21:16,480 --> 00:21:20,639 Speaker 1: be kind of clouding what's going on with underlying payrolls 360 00:21:20,680 --> 00:21:24,360 Speaker 1: and really giving us some actual negative effects on unemployment. 361 00:21:25,280 --> 00:21:27,800 Speaker 1: And this just makes it very hard for the FED 362 00:21:27,840 --> 00:21:32,760 Speaker 1: to assess do the underlying fundamentals warrant a rate cut 363 00:21:32,880 --> 00:21:35,600 Speaker 1: or even a rate increase in the face of inflation 364 00:21:35,720 --> 00:21:38,880 Speaker 1: expectations really becoming unanchored. The other thing that I would 365 00:21:38,880 --> 00:21:41,800 Speaker 1: just stress is very different from twenty eighteen to nineteen 366 00:21:42,280 --> 00:21:46,240 Speaker 1: is the initial conditions of this economy and the idea 367 00:21:46,240 --> 00:21:47,760 Speaker 1: that the FED might have a little bit of a 368 00:21:47,800 --> 00:21:53,119 Speaker 1: lower threshold for allowing inflation expectations to go up at all. 369 00:21:53,480 --> 00:21:57,119 Speaker 1: Here I'm talking about longer term inflation expectations, but I 370 00:21:57,160 --> 00:21:59,280 Speaker 1: think if those start to move up, it's going to 371 00:21:59,320 --> 00:22:01,800 Speaker 1: be very hard that have Fed to say, actually, this 372 00:22:01,960 --> 00:22:04,960 Speaker 1: is just one time tariffs and we'll look through it, 373 00:22:05,040 --> 00:22:07,720 Speaker 1: because there are so many other shocks in the economy 374 00:22:07,720 --> 00:22:09,800 Speaker 1: that it's just really hard to make that determination. 375 00:22:10,760 --> 00:22:12,600 Speaker 2: I guess I had had a final question for Anna, 376 00:22:12,640 --> 00:22:14,920 Speaker 2: which is sort of slightly stepping back. I mean, having 377 00:22:15,040 --> 00:22:18,360 Speaker 2: been through Brexit in the UK and from a lot 378 00:22:18,359 --> 00:22:21,199 Speaker 2: of these trade things, there's a hit to the economy 379 00:22:21,440 --> 00:22:25,240 Speaker 2: that's not a fatal, but a sort of measurable hit 380 00:22:25,600 --> 00:22:28,280 Speaker 2: that you didn't need to have if you hadn't reduced 381 00:22:28,280 --> 00:22:31,639 Speaker 2: your openness to your major trading partners, something that the 382 00:22:31,720 --> 00:22:35,320 Speaker 2: UK has done with Brexit. And the implication of that, 383 00:22:35,400 --> 00:22:37,000 Speaker 2: it seemed to me, was that you're sort of in 384 00:22:37,040 --> 00:22:39,199 Speaker 2: a hole, and then you have to find positives that 385 00:22:39,240 --> 00:22:41,639 Speaker 2: are going to offset that hole. You shut yourself in 386 00:22:41,640 --> 00:22:43,359 Speaker 2: the foot, or at least you know, stubbed your toe 387 00:22:43,359 --> 00:22:45,679 Speaker 2: pretty badly, and you have to find some way to 388 00:22:45,720 --> 00:22:48,199 Speaker 2: make it up. It feels like we're in that kind 389 00:22:48,240 --> 00:22:51,480 Speaker 2: of situation. We've decided, for whatever reason, to do this 390 00:22:51,600 --> 00:22:54,919 Speaker 2: damage to our trading situation, and that's going to have 391 00:22:54,960 --> 00:22:58,320 Speaker 2: a certain hit, not necessarily a fatal hit, but a 392 00:22:58,320 --> 00:23:01,800 Speaker 2: certain hit the recovery and to growth and maybe to 393 00:23:02,760 --> 00:23:05,840 Speaker 2: other things. But do you think and are the kind 394 00:23:05,960 --> 00:23:09,600 Speaker 2: of policies that investors were focused on at the beginning 395 00:23:09,600 --> 00:23:13,840 Speaker 2: of the administration that made them positive about growth and investment, 396 00:23:14,000 --> 00:23:18,600 Speaker 2: you know, the tax cuts being made permanent, the deregulation agenda, 397 00:23:19,240 --> 00:23:23,200 Speaker 2: potentially a smaller, leaner government. Do you think all those 398 00:23:23,240 --> 00:23:27,840 Speaker 2: things are still much bigger, potentially positives than the negatives 399 00:23:27,840 --> 00:23:30,239 Speaker 2: that we're going to see from this uncertainty and this 400 00:23:30,400 --> 00:23:34,439 Speaker 2: trade hit. Or do you think, actually we're not talking 401 00:23:34,480 --> 00:23:37,200 Speaker 2: about very different magnitudes here, and it's a little bit 402 00:23:37,240 --> 00:23:39,119 Speaker 2: touch and go whether this administration is going to be 403 00:23:39,160 --> 00:23:43,560 Speaker 2: really good for the economy overall. 404 00:23:41,920 --> 00:23:45,520 Speaker 3: That's a really good question. My read of the economic 405 00:23:45,760 --> 00:23:50,080 Speaker 3: framework of the administration, or at least the beliefs of 406 00:23:50,200 --> 00:23:54,200 Speaker 3: the top economic policy advisor, how they see the economy, 407 00:23:54,200 --> 00:23:57,760 Speaker 3: how they interpret the world, is that they truly think 408 00:23:57,800 --> 00:24:01,680 Speaker 3: the size of the government is too big, and they 409 00:24:01,680 --> 00:24:05,440 Speaker 3: are focused on getting rid of this crowding out effect 410 00:24:05,840 --> 00:24:11,280 Speaker 3: which they see as generating more regulations which is inflationary, 411 00:24:11,720 --> 00:24:17,040 Speaker 3: and also reduce productive capacity and economy. So everything they're 412 00:24:17,400 --> 00:24:21,040 Speaker 3: doing right now with the DOCHE cuts is to shrink 413 00:24:21,080 --> 00:24:23,680 Speaker 3: the size of the government. At the same time, the 414 00:24:23,720 --> 00:24:28,360 Speaker 3: policy package include raising tariffs because they need to. What 415 00:24:28,400 --> 00:24:31,919 Speaker 3: they want to do is to raise the taxes on 416 00:24:32,200 --> 00:24:37,359 Speaker 3: the foreign and international sector while lower the barriers and 417 00:24:37,520 --> 00:24:41,760 Speaker 3: taxes in the domestic economy. So it's like a full package. 418 00:24:41,800 --> 00:24:45,320 Speaker 3: You can't see each pillar in isolation. Right, it looks 419 00:24:45,359 --> 00:24:48,080 Speaker 3: like a lot of the contour of the economic impact 420 00:24:48,160 --> 00:24:52,200 Speaker 3: of DOCHE and tariffs from all our model are concentrated 421 00:24:52,240 --> 00:24:55,719 Speaker 3: in the first two years. The trade policy uncertainty, it 422 00:24:55,760 --> 00:25:00,280 Speaker 3: actually goes away really quickly. If Trump suddenly to wait, 423 00:25:00,400 --> 00:25:02,720 Speaker 3: I'm making a deal, and then the next day you 424 00:25:02,760 --> 00:25:07,680 Speaker 3: see that policy uncertainty plunging faster than the actual tariff level. Right, 425 00:25:07,720 --> 00:25:10,399 Speaker 3: the tariff level will takes time to go down, but 426 00:25:10,560 --> 00:25:14,160 Speaker 3: it actually is the decline in trade policy that would 427 00:25:14,160 --> 00:25:18,080 Speaker 3: suddenly spur this reversal of growth. So I think, based 428 00:25:18,119 --> 00:25:22,800 Speaker 3: on all the models I've assessed that whatever the positive 429 00:25:22,880 --> 00:25:27,800 Speaker 3: benefits of this DOGE and deregulation agenda, and also the 430 00:25:27,840 --> 00:25:30,679 Speaker 3: pernicious effect of tariffs will start to fade away in 431 00:25:30,680 --> 00:25:34,960 Speaker 3: the second half of Trump's administration, while whatever benefits to 432 00:25:35,119 --> 00:25:38,320 Speaker 3: the fiscal agenda will start to kick in the second half. 433 00:25:38,720 --> 00:25:43,320 Speaker 3: So basically JD. Van's election as the twenty twenty eighth 434 00:25:43,760 --> 00:25:47,959 Speaker 3: president is really a bet that this contour of the 435 00:25:48,000 --> 00:25:51,160 Speaker 3: benefits of their economic agenda will start to kick in 436 00:25:51,160 --> 00:25:53,280 Speaker 3: in the second half, while it would be pained in 437 00:25:53,320 --> 00:25:54,360 Speaker 3: the first two years. 438 00:25:54,480 --> 00:25:56,520 Speaker 2: Well, and of course today will be when they start 439 00:25:56,640 --> 00:26:00,320 Speaker 2: dating the Trump vance recovery and they'll forget about anything 440 00:26:00,400 --> 00:26:04,119 Speaker 2: that happened to the stock market before. I think that's excellent, Anna. 441 00:26:04,920 --> 00:26:08,280 Speaker 2: It is indeed a period of transition and a transition 442 00:26:08,440 --> 00:26:11,600 Speaker 2: to who knows what, but I think we'll be charting 443 00:26:11,640 --> 00:26:13,880 Speaker 2: it in in Trumpanomics. It has been a very trump 444 00:26:13,920 --> 00:26:17,480 Speaker 2: andomic episode. But thank you very much to Anna and 445 00:26:17,520 --> 00:26:21,399 Speaker 2: to Catherine. I'm sure we'll have you both back. But 446 00:26:22,560 --> 00:26:28,200 Speaker 2: that's that's it for now. Thank you, thanks for listening 447 00:26:28,240 --> 00:26:30,720 Speaker 2: to Trump and Nomics from Bloomberg. It was hosted by 448 00:26:30,720 --> 00:26:33,000 Speaker 2: me Stephanie Flanders, and I was joined by Anna Wong 449 00:26:33,280 --> 00:26:36,119 Speaker 2: and Catherine Holston. Trump and Nomics is produced by Summer, 450 00:26:36,200 --> 00:26:39,439 Speaker 2: Sadi and Moses and with help from Chris Martlu and 451 00:26:39,560 --> 00:26:42,879 Speaker 2: sound design by Blake Maples. Brendan Francis Newnham is our 452 00:26:42,920 --> 00:26:46,800 Speaker 2: executive producer and to help others find the show, please 453 00:26:46,960 --> 00:26:49,919 Speaker 2: rate and review it highly wherever you listen to podcasts