1 00:00:03,120 --> 00:00:07,720 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,320 --> 00:00:09,840 Speaker 2: Hey, Sarah, Hi, David. 3 00:00:10,720 --> 00:00:13,360 Speaker 3: So, I've noticed that there's one name that's been coming 4 00:00:13,440 --> 00:00:16,160 Speaker 3: up over and over again. It's been all over TV 5 00:00:16,160 --> 00:00:16,880 Speaker 3: the last couple of weeks. 6 00:00:16,960 --> 00:00:21,680 Speaker 2: Kamala Harris, no, Donald Trump, no, Tim walltz jd Vance. 7 00:00:21,800 --> 00:00:25,000 Speaker 3: Okay, I should clarify. There's one name we've been hearing 8 00:00:25,120 --> 00:00:27,360 Speaker 3: over and over on Bloomberg TV. 9 00:00:27,760 --> 00:00:30,800 Speaker 2: Claudia s. Claudia Sam so called Psalm rule. 10 00:00:30,960 --> 00:00:33,320 Speaker 4: That Psalm rule, The Psalm rule has been triggered. 11 00:00:33,960 --> 00:00:37,480 Speaker 2: Right Claudia Sam inventor of the Psalm rule Bingo. She's 12 00:00:37,520 --> 00:00:40,839 Speaker 2: the chief economist at New Century Advisors and also a 13 00:00:40,880 --> 00:00:42,920 Speaker 2: columnist here a Bloomberg Right, the. 14 00:00:42,920 --> 00:00:46,040 Speaker 3: Psalm rule, it's everywhere, and I know it's considered to 15 00:00:46,040 --> 00:00:49,800 Speaker 3: be one of the most accurate recession predictors around. It's 16 00:00:49,800 --> 00:00:51,519 Speaker 3: about jobs, right. 17 00:00:51,400 --> 00:00:54,720 Speaker 2: It is. And the Som rule states, checking my notes here, 18 00:00:54,800 --> 00:00:57,680 Speaker 2: if the unemployment rate rises more than half a percentage 19 00:00:57,680 --> 00:01:00,600 Speaker 2: point within a one year period, the US is in 20 00:01:00,640 --> 00:01:01,240 Speaker 2: a recession. 21 00:01:01,720 --> 00:01:05,360 Speaker 3: Right, And some said the jobs data from July triggered 22 00:01:05,360 --> 00:01:08,680 Speaker 3: the rule. So, David, does that mean it's happening? A 23 00:01:08,760 --> 00:01:09,920 Speaker 3: recession is coming? 24 00:01:10,080 --> 00:01:12,560 Speaker 2: I'm so glad you were asking these questions, Sarah, because 25 00:01:12,600 --> 00:01:16,320 Speaker 2: today we are introducing a collaboration with Bloomberg. 26 00:01:15,920 --> 00:01:18,039 Speaker 3: Explains Thank God, I need that. 27 00:01:18,000 --> 00:01:19,960 Speaker 2: Same here every now and then we're going to break 28 00:01:20,000 --> 00:01:23,080 Speaker 2: down the biggest parts of the economy and our financial system. 29 00:01:23,160 --> 00:01:24,720 Speaker 3: We'll take a look at how they came to be 30 00:01:24,920 --> 00:01:27,479 Speaker 3: and what they mean for all of us. I promise 31 00:01:27,520 --> 00:01:31,000 Speaker 3: there's something here for everyone, even if you're already an economist. 32 00:01:31,040 --> 00:01:33,040 Speaker 2: So today, on the Big Take, we hear from Claudia 33 00:01:33,120 --> 00:01:35,840 Speaker 2: Sam herself about what it means that her rule has 34 00:01:35,880 --> 00:01:38,960 Speaker 2: been triggered and how some feels about all the Psalm 35 00:01:39,040 --> 00:01:40,360 Speaker 2: rule mania. 36 00:01:40,440 --> 00:01:44,800 Speaker 1: Since it became popular, it's gotten used and abused, and it, 37 00:01:45,200 --> 00:01:48,800 Speaker 1: you know, acually had a different name that didn't involve 38 00:01:48,880 --> 00:01:49,240 Speaker 1: my name. 39 00:01:53,840 --> 00:01:56,200 Speaker 3: Wait, Claudia som wish as we didn't call it the 40 00:01:56,240 --> 00:01:57,320 Speaker 3: Psalm rule, she does. 41 00:01:57,760 --> 00:02:01,320 Speaker 2: Wow. I'm Sarah Holder, I'm David Gera, and this is 42 00:02:01,360 --> 00:02:04,880 Speaker 2: the Big Take from Bloomberg News with the Psalm Rule explained. 43 00:02:10,040 --> 00:02:12,639 Speaker 2: In the last few months, Claudia Sam has become one 44 00:02:12,639 --> 00:02:15,360 Speaker 2: of the best known economists in the world thanks to 45 00:02:15,400 --> 00:02:19,080 Speaker 2: the research she's done on recessions. But Claudia says she 46 00:02:19,120 --> 00:02:21,239 Speaker 2: didn't set out to become one of the leading lights 47 00:02:21,320 --> 00:02:24,360 Speaker 2: of the dismal science, someone who is the namesake of 48 00:02:24,400 --> 00:02:27,000 Speaker 2: a widely cited rule in economics. 49 00:02:27,120 --> 00:02:29,120 Speaker 1: So I grew up in the Midwest on hog farm. 50 00:02:29,520 --> 00:02:31,760 Speaker 1: I never dreamed that I would be an economist. I 51 00:02:31,760 --> 00:02:33,880 Speaker 1: didn't actually know what an economist was before I went 52 00:02:33,880 --> 00:02:34,480 Speaker 1: to college. 53 00:02:34,639 --> 00:02:37,720 Speaker 2: It was on that family farm that Claudia learned a 54 00:02:37,760 --> 00:02:41,200 Speaker 2: lot about work, years before she ever heard of a 55 00:02:41,320 --> 00:02:41,959 Speaker 2: jobs report. 56 00:02:42,240 --> 00:02:44,120 Speaker 1: There was one summer we had to work outside all 57 00:02:44,160 --> 00:02:48,200 Speaker 1: summer doing you know, nothing complicated, but really like grunt work, 58 00:02:48,520 --> 00:02:54,120 Speaker 1: which essentially meant shoveling hog manure all summer. And you know, 59 00:02:54,480 --> 00:02:57,760 Speaker 1: that was unpleasant. And also at the end they said, well, 60 00:02:57,760 --> 00:02:59,800 Speaker 1: you know this is hard work. No matter what you 61 00:02:59,840 --> 00:03:02,120 Speaker 1: do going for it. You don't look down at anybody. 62 00:03:02,000 --> 00:03:04,760 Speaker 2: Right, Claudia says she took that to heart, along with 63 00:03:04,800 --> 00:03:07,840 Speaker 2: something else her mom and dad told her and her siblings. 64 00:03:07,639 --> 00:03:09,480 Speaker 1: We had this choice of well, you go do really 65 00:03:09,480 --> 00:03:11,200 Speaker 1: well in school, or you're. 66 00:03:11,080 --> 00:03:13,600 Speaker 2: Going to go out and do more with automneur Claudia 67 00:03:13,639 --> 00:03:16,440 Speaker 2: studied hard. She went to Dennison University, a liberal arts 68 00:03:16,480 --> 00:03:21,040 Speaker 2: school in central Ohio, and it was there Claudia discovered economics. 69 00:03:21,440 --> 00:03:23,639 Speaker 2: What she liked about it, she says, is it could 70 00:03:23,639 --> 00:03:24,400 Speaker 2: be practical. 71 00:03:24,720 --> 00:03:26,520 Speaker 1: I see problems out there in the world and to 72 00:03:26,560 --> 00:03:30,760 Speaker 1: have some tools to chip away at them. Is that 73 00:03:30,760 --> 00:03:31,720 Speaker 1: that had the appeal. 74 00:03:32,080 --> 00:03:34,880 Speaker 2: After college and graduate school at the University of Michigan, 75 00:03:35,200 --> 00:03:37,920 Speaker 2: Claudia got a job as an economist at the Federal 76 00:03:38,000 --> 00:03:41,280 Speaker 2: Reserve in Washington. It was just a few months before 77 00:03:41,280 --> 00:03:42,560 Speaker 2: bear Stearns collapsed. 78 00:03:44,040 --> 00:03:47,360 Speaker 1: My first year as a professional forecaster was two thousand 79 00:03:47,400 --> 00:03:51,880 Speaker 1: and eight. It was an absolute birth by fire. Is 80 00:03:51,920 --> 00:03:54,600 Speaker 1: a you know, being new to the profession, learning what 81 00:03:54,640 --> 00:04:01,280 Speaker 1: I'm doing, and then just watching could fall. 82 00:04:01,120 --> 00:04:05,840 Speaker 2: Apart, banks going busts, the housing market collapsing, and a recession. 83 00:04:06,400 --> 00:04:09,240 Speaker 2: Claudia says she had a big realization, one that would 84 00:04:09,280 --> 00:04:12,920 Speaker 2: inspire her work on what became the Psalm Rule. She 85 00:04:13,000 --> 00:04:15,720 Speaker 2: started to focus her research on what the government can 86 00:04:15,840 --> 00:04:19,320 Speaker 2: and should do when there's a deep economic downturn and 87 00:04:19,400 --> 00:04:21,520 Speaker 2: what kind of aid is the most effective. 88 00:04:21,800 --> 00:04:24,159 Speaker 1: Because the Fed, when it does monetary policy, works around 89 00:04:24,160 --> 00:04:26,920 Speaker 1: the edges, right, they need to have a sense of 90 00:04:26,960 --> 00:04:29,440 Speaker 1: what they think Congress is the effects of policies from 91 00:04:29,520 --> 00:04:33,039 Speaker 1: Congress will do, and that I guess you know, that 92 00:04:33,120 --> 00:04:35,839 Speaker 1: experience really radicalized me to the idea that we have 93 00:04:35,880 --> 00:04:37,320 Speaker 1: to have better fiscal policy. 94 00:04:37,880 --> 00:04:40,920 Speaker 2: One of her main takeaways, Claudia says, is that aid 95 00:04:41,279 --> 00:04:44,680 Speaker 2: needs to get to people faster. She recognized that the 96 00:04:44,760 --> 00:04:47,760 Speaker 2: sooner it was distributed, the better the odds small businesses 97 00:04:47,800 --> 00:04:50,120 Speaker 2: could stay open and that people could stay in their 98 00:04:50,120 --> 00:04:51,600 Speaker 2: homes and keep their jobs. 99 00:04:52,120 --> 00:04:56,680 Speaker 1: I wanted an early warning, early stages of it's a recession. 100 00:04:56,720 --> 00:05:00,640 Speaker 1: Things are going south, that momentum is there, let's and help. 101 00:05:03,520 --> 00:05:06,080 Speaker 2: Fresh out of grad school, Claudia had found what she 102 00:05:06,160 --> 00:05:09,520 Speaker 2: wanted to focus on, and about a decade later, she 103 00:05:09,640 --> 00:05:13,000 Speaker 2: was asked to participate in a big project put together 104 00:05:13,080 --> 00:05:14,560 Speaker 2: by two think tanks. 105 00:05:14,440 --> 00:05:17,800 Speaker 1: And there were several contributors, several economists experts like myself, 106 00:05:17,839 --> 00:05:23,120 Speaker 1: who had proposals of fiscal policy that could be used 107 00:05:23,120 --> 00:05:24,640 Speaker 1: to fight future recessions. 108 00:05:24,839 --> 00:05:29,080 Speaker 2: Claudia's contribution was a paper on direct stimulus payments to individuals, 109 00:05:29,279 --> 00:05:31,599 Speaker 2: and as she was doing the research that underpinned it, 110 00:05:32,000 --> 00:05:35,200 Speaker 2: Claudia reflected on something she'd noticed during her time at 111 00:05:35,240 --> 00:05:38,640 Speaker 2: the FED, going back to the global financial crisis. Her 112 00:05:38,680 --> 00:05:43,640 Speaker 2: colleagues used data, but they also relied on intuition I have. 113 00:05:43,680 --> 00:05:46,719 Speaker 1: Been around and absorbed a lot from people who were 114 00:05:46,720 --> 00:05:49,400 Speaker 1: making those kind of decisions, like what are the rules 115 00:05:49,400 --> 00:05:54,359 Speaker 1: of some the good professional macro forecasters do like real 116 00:05:54,440 --> 00:05:58,680 Speaker 1: world down in the trenches. So something that I had 117 00:05:58,720 --> 00:06:03,080 Speaker 1: picked up is small increases in the unemployment rate or 118 00:06:03,080 --> 00:06:03,719 Speaker 1: bad news. 119 00:06:04,880 --> 00:06:05,080 Speaker 3: Right? 120 00:06:05,120 --> 00:06:07,440 Speaker 2: Can you describe, like what your aha moment was like 121 00:06:07,480 --> 00:06:09,360 Speaker 2: when you kind of recognized that there was in fact 122 00:06:09,360 --> 00:06:11,640 Speaker 2: this rule. Was there a big aha moment for you? 123 00:06:11,920 --> 00:06:14,839 Speaker 1: No, there's just a very tortured Excel spreadsheet. 124 00:06:15,000 --> 00:06:18,520 Speaker 2: Claudia looked at all the economic downturns since World War Two. 125 00:06:19,000 --> 00:06:21,880 Speaker 2: She dug into the jobs data, specifically focusing on the 126 00:06:21,960 --> 00:06:25,640 Speaker 2: unemployment rate, and started looking for a pattern, a common 127 00:06:25,640 --> 00:06:28,479 Speaker 2: set of circumstances that preceded each recession. 128 00:06:29,279 --> 00:06:34,600 Speaker 1: Basically, I took an intuition, a rule, a principle, and 129 00:06:34,640 --> 00:06:38,360 Speaker 1: I sat down and said, Okay, let's let's make this 130 00:06:38,440 --> 00:06:42,680 Speaker 1: as accurate as possible. Let's try different variations. There is 131 00:06:42,839 --> 00:06:49,440 Speaker 1: nothing about the formula that is special. So we're looking 132 00:06:49,440 --> 00:06:52,120 Speaker 1: at this change over a relatively short period of time 133 00:06:52,880 --> 00:06:56,000 Speaker 1: in a year, and if that change is a half 134 00:06:56,040 --> 00:07:00,800 Speaker 1: a percentage point or more, that is consistent and with 135 00:07:00,920 --> 00:07:05,080 Speaker 1: the early stages of a recession in US. 136 00:07:06,320 --> 00:07:09,840 Speaker 2: Claudia found that if the unemployment rate increases by half 137 00:07:09,840 --> 00:07:13,040 Speaker 2: a percentage point or more, that's a sign the US 138 00:07:13,160 --> 00:07:13,960 Speaker 2: is in a recession. 139 00:07:16,640 --> 00:07:20,080 Speaker 1: If you start in nineteen seventy in the data that 140 00:07:20,120 --> 00:07:23,240 Speaker 1: were published at the time, so the real time data, 141 00:07:23,880 --> 00:07:27,200 Speaker 1: it has a perfect record. It gets really close in 142 00:07:27,280 --> 00:07:30,120 Speaker 1: seventy six to a false positive, but as a very 143 00:07:30,120 --> 00:07:33,280 Speaker 1: good record. And if you go back before that, it 144 00:07:33,480 --> 00:07:37,120 Speaker 1: has a very good record. There are two you know, 145 00:07:37,200 --> 00:07:39,920 Speaker 1: quote what false positives it turns on outside of recession. 146 00:07:40,440 --> 00:07:42,400 Speaker 1: In the two cases that are in that in the 147 00:07:42,480 --> 00:07:46,480 Speaker 1: historical record, in sixty nine and fifty nine, a recession 148 00:07:46,520 --> 00:07:47,960 Speaker 1: followed within six months. 149 00:07:48,320 --> 00:07:51,680 Speaker 2: Now, remember what Claudia really cared about, what motivated her 150 00:07:51,720 --> 00:07:56,480 Speaker 2: research is how government should respond to recessions the sam rule. 151 00:07:56,680 --> 00:07:59,680 Speaker 2: What she discovered about how that increase in unemployment preceded 152 00:07:59,720 --> 00:08:02,960 Speaker 2: pass to other downturns. That was only part of what 153 00:08:03,080 --> 00:08:05,480 Speaker 2: ended up being a twenty six page paper. 154 00:08:05,680 --> 00:08:09,280 Speaker 1: So in my chapter, which was about automatic direct payments 155 00:08:09,280 --> 00:08:12,240 Speaker 1: that would go out early in recessions to individuals, get 156 00:08:12,240 --> 00:08:16,240 Speaker 1: them on autopilot. Congress agrees ahead of time conditions get bad, 157 00:08:16,480 --> 00:08:19,800 Speaker 1: the checks go out the SAM rule was, and it wasn't. 158 00:08:20,480 --> 00:08:23,800 Speaker 1: It really doesn't look like much. It's like a complete 159 00:08:23,800 --> 00:08:27,400 Speaker 1: supporting actress to this plot here is that it was 160 00:08:27,560 --> 00:08:30,680 Speaker 1: what tells you turn it on when to send the 161 00:08:30,760 --> 00:08:31,480 Speaker 1: checks out. 162 00:08:31,680 --> 00:08:34,200 Speaker 2: A few months later, the book is published and there's 163 00:08:34,360 --> 00:08:36,760 Speaker 2: a big event in DC. I get together with all 164 00:08:36,800 --> 00:08:37,400 Speaker 2: the authors. 165 00:08:37,600 --> 00:08:42,199 Speaker 4: Good afternoon, welcome you on behalf of my colleagues at 166 00:08:42,200 --> 00:08:46,959 Speaker 4: the Hamilton Project as we engage in today's forum preparing 167 00:08:47,000 --> 00:08:48,840 Speaker 4: for the next recession policies. 168 00:08:48,880 --> 00:08:50,240 Speaker 1: So I go to the event. I mean, I was 169 00:08:50,240 --> 00:08:51,920 Speaker 1: supposed to be one of the panels. I'm sending there 170 00:08:51,920 --> 00:08:53,760 Speaker 1: waiting and have all these luminaries. 171 00:08:54,280 --> 00:08:57,920 Speaker 2: We're extremely lucky. Chaperanankee was head of the Federal Reserve 172 00:08:57,960 --> 00:08:58,760 Speaker 2: from two thousand and six. 173 00:08:58,800 --> 00:09:01,640 Speaker 1: Christina Roma is to University of California. 174 00:09:01,920 --> 00:09:02,680 Speaker 4: Buckley was. 175 00:09:03,160 --> 00:09:05,520 Speaker 1: I'm excited about the event, and in one of the 176 00:09:05,559 --> 00:09:07,520 Speaker 1: first panels, they start the SAM rule. 177 00:09:07,880 --> 00:09:11,160 Speaker 2: If a recession occurs and the Psalm rule is implemented again. 178 00:09:11,240 --> 00:09:13,760 Speaker 3: When the Psalm rule triggers, we'll be talking I think 179 00:09:13,760 --> 00:09:15,720 Speaker 3: for years to come about the PSAM rule. 180 00:09:15,880 --> 00:09:21,440 Speaker 1: And I'm just like, what is happening? I was mortified. Yeah, 181 00:09:21,480 --> 00:09:24,760 Speaker 1: I honored and embarrassed that this is getting called the 182 00:09:24,800 --> 00:09:25,320 Speaker 1: Sam rule. 183 00:09:25,920 --> 00:09:29,240 Speaker 2: And just like that, in twenty nineteen, the Psalm rule 184 00:09:29,559 --> 00:09:31,520 Speaker 2: was born, and since then. 185 00:09:31,760 --> 00:09:35,360 Speaker 1: It certainly has it's taken on a life of its own. 186 00:09:36,960 --> 00:09:40,040 Speaker 2: After the break, Claudia Sam explains why she thinks her 187 00:09:40,160 --> 00:09:43,800 Speaker 2: rule has been used and abused and why she wishes 188 00:09:44,160 --> 00:09:55,480 Speaker 2: it had a different name. So, just to recap, the 189 00:09:55,520 --> 00:09:58,600 Speaker 2: Psalm rule came out of research economists Claudia Sam was 190 00:09:58,600 --> 00:10:01,120 Speaker 2: doing and too when the government should start helping people 191 00:10:01,160 --> 00:10:05,319 Speaker 2: during an economic downturn, like sending out stimulus checks. The 192 00:10:05,440 --> 00:10:08,679 Speaker 2: key is Claudia wanted it to be automatic. If there 193 00:10:08,679 --> 00:10:11,480 Speaker 2: were a rule and it's triggered, help would go out 194 00:10:11,520 --> 00:10:14,120 Speaker 2: and recessions hopefully wouldn't be as painful. 195 00:10:14,679 --> 00:10:17,920 Speaker 1: I was trying to diagnose a situation. 196 00:10:17,760 --> 00:10:20,560 Speaker 2: But that is lost on a lot of people. And 197 00:10:20,640 --> 00:10:23,440 Speaker 2: since the Psalm rule was introduced in twenty nineteen, it's 198 00:10:23,480 --> 00:10:27,360 Speaker 2: become widely cited. We've heard it mentioned by FED policymakers 199 00:10:27,400 --> 00:10:29,880 Speaker 2: and by lawmakers, and it's been all over the news. 200 00:10:29,960 --> 00:10:33,680 Speaker 2: It's been one of Google's top trending searches. But Claudia 201 00:10:33,720 --> 00:10:36,680 Speaker 2: says that is not necessarily a good thing. 202 00:10:37,240 --> 00:10:41,640 Speaker 1: It's been a little rough in a little surreal being 203 00:10:41,679 --> 00:10:43,600 Speaker 1: in the middle of it. It is very simple, and 204 00:10:43,679 --> 00:10:46,960 Speaker 1: anything that simple is going to have, you know, it 205 00:10:46,960 --> 00:10:48,559 Speaker 1: has its Achilles heel. 206 00:10:50,000 --> 00:10:53,600 Speaker 2: An Achilles heel, Claudia says the Psalm rule has one 207 00:10:53,720 --> 00:10:57,680 Speaker 2: big vulnerability. It can't account for all the different reasons 208 00:10:57,840 --> 00:11:00,200 Speaker 2: there could be an increase in unemployment. Right. 209 00:11:00,320 --> 00:11:03,240 Speaker 1: So the bad reason that u employment rate goes up 210 00:11:03,720 --> 00:11:06,640 Speaker 1: is there's less demand for workers, right, and so that 211 00:11:06,679 --> 00:11:09,400 Speaker 1: could you know, the typical though not the only way 212 00:11:09,400 --> 00:11:14,360 Speaker 1: this gets expressed, people lose their jobs. So that demand 213 00:11:14,400 --> 00:11:17,720 Speaker 1: story for workers is why this sum rule works. 214 00:11:18,240 --> 00:11:21,600 Speaker 2: But Claudia notes the unemployment rate can go up because 215 00:11:21,600 --> 00:11:22,360 Speaker 2: of something else. 216 00:11:22,600 --> 00:11:27,360 Speaker 1: It has some temporary pain associated with it, but actually 217 00:11:27,360 --> 00:11:31,600 Speaker 1: has a much more positive story, like it's dynamos are good. 218 00:11:31,760 --> 00:11:34,640 Speaker 2: In this scenario, the unemployment rate goes up because there 219 00:11:34,640 --> 00:11:37,680 Speaker 2: are more people joining the labor force. Maybe there's an 220 00:11:37,760 --> 00:11:41,680 Speaker 2: uptick in immigration, which can ultimately be beneficial to the economy. 221 00:11:41,800 --> 00:11:44,640 Speaker 1: So if you have particularly if you have kind of 222 00:11:44,679 --> 00:11:49,280 Speaker 1: a burst of people coming in looking for work, well, 223 00:11:49,320 --> 00:11:54,800 Speaker 1: then you can have a bump up in the unemployment rate. Now, 224 00:11:55,760 --> 00:11:59,440 Speaker 1: as long as the jobs catch up, that unemployment rate 225 00:11:59,520 --> 00:12:02,240 Speaker 1: will come back down, right, and then you've got more workers. 226 00:12:02,280 --> 00:12:04,160 Speaker 1: So now you've got an economy that's even got a 227 00:12:04,200 --> 00:12:07,520 Speaker 1: better chance of expanding like it's it's the very opposite 228 00:12:07,520 --> 00:12:11,040 Speaker 1: direction of the downward spiral of a recession. 229 00:12:11,440 --> 00:12:15,160 Speaker 2: And this is partly what Claudia thinks is happening right now. 230 00:12:15,520 --> 00:12:19,000 Speaker 2: The unemployment rate is going up and economic activity is 231 00:12:19,080 --> 00:12:22,000 Speaker 2: slowing in the US, which has triggered the Psalm rule 232 00:12:22,200 --> 00:12:25,319 Speaker 2: and led to a lot of hand ringing. But Claudia says. 233 00:12:25,360 --> 00:12:27,240 Speaker 1: I think it's wrong about where we are right now. 234 00:12:27,320 --> 00:12:29,520 Speaker 1: I do not think the US economy is in a recession. 235 00:12:32,160 --> 00:12:35,559 Speaker 2: She's noticed people invoking the Psalm rule for their own reasons, 236 00:12:35,800 --> 00:12:38,040 Speaker 2: either to put pressure on the Federal Reserve to cut 237 00:12:38,160 --> 00:12:41,079 Speaker 2: rates or to suggest that the Psalm rule is broken. 238 00:12:41,720 --> 00:12:44,840 Speaker 2: But Claudia says the dynamics of the economy have changed 239 00:12:45,000 --> 00:12:47,840 Speaker 2: so much since the pandemic that it's not a surprise 240 00:12:47,920 --> 00:12:50,600 Speaker 2: to her that her rule might not be working in 241 00:12:50,640 --> 00:12:51,280 Speaker 2: this scenario. 242 00:12:51,440 --> 00:12:53,360 Speaker 1: In the past four and a half years since the 243 00:12:53,440 --> 00:12:57,400 Speaker 1: pandemic began, we have lived through a period of extreme 244 00:12:59,360 --> 00:13:02,800 Speaker 1: It has just been confusing. Like the patterns, if this 245 00:13:02,960 --> 00:13:06,440 Speaker 1: Psalm rule, we're ever going to break. It would be 246 00:13:06,520 --> 00:13:10,440 Speaker 1: now because not only are we having changes, say in supply, 247 00:13:10,600 --> 00:13:13,680 Speaker 1: we're having we had some big ones, and that just 248 00:13:13,720 --> 00:13:17,600 Speaker 1: really puts stress on our typical We think about the 249 00:13:17,600 --> 00:13:19,000 Speaker 1: boom and the bust and demand. 250 00:13:19,480 --> 00:13:22,360 Speaker 2: And it's not just the Psalm rule that's having problems 251 00:13:22,400 --> 00:13:25,560 Speaker 2: given the uniqueness of the economy post pandemic. 252 00:13:26,000 --> 00:13:28,880 Speaker 1: So the sum rule is actually one of a whole 253 00:13:28,960 --> 00:13:33,320 Speaker 1: series of our kind of tools that have you know, 254 00:13:33,400 --> 00:13:37,560 Speaker 1: had a rough time. Does that mean that the tools 255 00:13:37,600 --> 00:13:41,600 Speaker 1: should be ignored or thrown aside, No, it just means 256 00:13:41,600 --> 00:13:46,080 Speaker 1: you should be really careful with them. And I I 257 00:13:46,160 --> 00:13:50,480 Speaker 1: tried to be careful with these tools always, right, I don't. 258 00:13:50,600 --> 00:13:54,760 Speaker 1: I would never just look at one rule, even I 259 00:13:54,960 --> 00:13:57,800 Speaker 1: have my name on it. In trying to give advice 260 00:13:57,960 --> 00:14:00,959 Speaker 1: on the economy in terms of big. 261 00:14:00,800 --> 00:14:03,760 Speaker 2: Picture, Claudia says that in the big picture, even if 262 00:14:03,800 --> 00:14:07,000 Speaker 2: the US economy isn't in a recession, there are warning 263 00:14:07,080 --> 00:14:08,480 Speaker 2: signs we. 264 00:14:08,520 --> 00:14:10,760 Speaker 1: Might not be in a bad place right now, but 265 00:14:10,800 --> 00:14:13,400 Speaker 1: the direction is not good. So then it's like, well, 266 00:14:13,880 --> 00:14:15,600 Speaker 1: you know, all is not lost. There are things to do. 267 00:14:15,679 --> 00:14:18,000 Speaker 1: But I think, you know, first it's recognizing diagnosing the 268 00:14:18,040 --> 00:14:23,400 Speaker 1: problem appropriately, and then figuring out what's But yeah, so 269 00:14:23,480 --> 00:14:25,960 Speaker 1: my take on this Som rule is it is there 270 00:14:26,000 --> 00:14:28,960 Speaker 1: is a message there. There is something that we need 271 00:14:29,000 --> 00:14:30,520 Speaker 1: to be paying close attention. 272 00:14:30,160 --> 00:14:32,800 Speaker 2: To, which is part of what the Psalm rule is 273 00:14:32,840 --> 00:14:35,880 Speaker 2: supposed to do. Remember, Claudia wanted it to be a 274 00:14:35,960 --> 00:14:39,400 Speaker 2: diagnostic to help solve the problem of waiting too long 275 00:14:39,480 --> 00:14:43,560 Speaker 2: to help people during recessions, and solving problems was what 276 00:14:43,600 --> 00:14:46,480 Speaker 2: appealed to Claudia about economics in the first place. 277 00:14:46,800 --> 00:14:49,400 Speaker 1: The Sam rule was never meant to trigger and then 278 00:14:49,440 --> 00:14:54,240 Speaker 1: cause panic. I just I wanted an early warning, early 279 00:14:54,280 --> 00:14:57,200 Speaker 1: stages of it's a recession, things are going south, that 280 00:14:57,320 --> 00:15:00,560 Speaker 1: momentum is there, let's step in end help and from 281 00:15:00,560 --> 00:15:02,800 Speaker 1: the beginning, and I continue, I'm probably even more so. 282 00:15:02,880 --> 00:15:08,760 Speaker 1: I'm like, there's a better rule out there, and I 283 00:15:09,200 --> 00:15:12,240 Speaker 1: will be thrilled when I see the person that hasn't. 284 00:15:18,520 --> 00:15:21,080 Speaker 2: This is the big take from Bloomberg News. I'm David Gera. 285 00:15:21,480 --> 00:15:24,480 Speaker 2: This episode was a collaboration with our newsroom friends called 286 00:15:24,720 --> 00:15:29,640 Speaker 2: Bloomberg Explains Hard to Explain Topics explained Simply. It was 287 00:15:29,640 --> 00:15:32,920 Speaker 2: produced by Andreana Tapia and Alex Sagura, who also mixed 288 00:15:32,920 --> 00:15:36,120 Speaker 2: the episode. It was edited by Stacy Vanick Smith and 289 00:15:36,120 --> 00:15:39,200 Speaker 2: it was fact checked by Thomas loom Our senior producers 290 00:15:39,200 --> 00:15:42,320 Speaker 2: are Kim Gettleson and Naomi Shaven. Our senior editor is 291 00:15:42,360 --> 00:15:46,480 Speaker 2: Elizabeth Ponso. Our executive producer is Nicole beemster Boor. Sage 292 00:15:46,520 --> 00:15:49,880 Speaker 2: Bauman is head of Podcasts. Thanks for listening, we'll be 293 00:15:49,920 --> 00:15:50,520 Speaker 2: back tomorrow