WEBVTT - Bill Beach on How Trump Just Politicized US Economic Data

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

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<v Speaker 2>Hello and welcome to another episode of the All Thoughts Podcast.

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<v Speaker 3>I'm Tracy Alloway and I'm Joe Wisenthal.

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<v Speaker 2>Joe, I kind of missed this on Friday because I

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<v Speaker 2>was not feeling very well, so I was out sick.

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<v Speaker 2>But what was Friday morning like when you were sat

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<v Speaker 2>in front of your Bloomberg terminal.

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<v Speaker 3>Well, the jobs report was pretty shocking. Obviously Friday was

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<v Speaker 3>just a crazy day. Yeah, So the jobs report, obviously

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<v Speaker 3>it was bad. I mean, the last two months massively

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<v Speaker 3>revised down, all of this evidence of labor market momentum

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<v Speaker 3>perhaps seems to be stalling the tariff effect. Maybe we

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<v Speaker 3>really are and it's sort of some sort of terriff

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<v Speaker 3>and do slow down. The only job creation is in

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<v Speaker 3>healthcare and social service.

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<v Speaker 2>Not great, right, Okay, So I saw the initial jobs

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<v Speaker 2>report headline. So we had non farm payrolls coming in

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<v Speaker 2>at plus seventy three thousand, which I think was like

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<v Speaker 2>thirty percent lower than the average expectation. We had the

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<v Speaker 2>unemployment rate taking up to like four point three percent,

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<v Speaker 2>four point almost four point three percent. Oh, let me

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<v Speaker 2>let me sorry, I'm rounding up here.

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<v Speaker 3>Okay, Okay, okay, although maybe I shouldn't.

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<v Speaker 2>Do that on a podcast all about labor market statistics.

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<v Speaker 2>But the big thing that seemed to catch everyone's attention

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<v Speaker 2>was we also had these massive revisions to the report

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<v Speaker 2>for May and June, so we had a combined two

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<v Speaker 2>hundred and fifty eight thousand jobs basically lowered from the

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<v Speaker 2>initial reports. And this was like the biggest revision since

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<v Speaker 2>the depths of the pandemic. And then the headline that

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<v Speaker 2>really caught my eye while I was, you know, laying

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<v Speaker 2>in my sick bed on Friday afternoon, was Trump firing

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<v Speaker 2>the head of the Bureau of Labor Statistics, so the

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<v Speaker 2>agency responsible for putting out the non farm pay Roule

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<v Speaker 2>Report every month.

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<v Speaker 3>Yeah, this is I would say. The key thing is

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<v Speaker 3>that a we've been used to these, you know, seeing

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<v Speaker 3>significant revisions. We've been talking you in particular, have been

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<v Speaker 3>writing a lot in the newsletter about deteriorating quality of

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<v Speaker 3>labor statistics. Response rates to a lot of surveys have

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<v Speaker 3>gone down over time, kind of like we're seeing in

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<v Speaker 3>political opinion surveys and so forth. So there's already been

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<v Speaker 3>this sort of anxiety. You have a lot of people online,

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<v Speaker 3>including President Trumpet himself, you know, been like stoking sort

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<v Speaker 3>of these conspiracy theories about these revisions, these attempts to

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<v Speaker 3>actually be transparent, and then you get the first sort

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<v Speaker 3>of like genuinely negative report under this administration. It's the

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<v Speaker 3>first one that was like, Okay, this was bad and boom,

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<v Speaker 3>Trump fires the person responsible for it. Now again, this

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<v Speaker 3>is one of those things where sort of like Doge itself,

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<v Speaker 3>where it's like, I like the idea of government efficiency, right, yeah, sure, Doge.

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<v Speaker 3>I like the idea of the BLS sort of doing

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<v Speaker 3>a better job in some way or addressing these responses.

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<v Speaker 3>But like Doge, which you know, we all have seen

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<v Speaker 3>how that's turned out. I think there are a lot

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<v Speaker 3>of more than a lot of questions, more than a

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<v Speaker 3>lot of questions about whether firing to be less and

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<v Speaker 3>replacing the head with someone who's you know, a Trumpet

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<v Speaker 3>point t will you know, add a more credible transparent

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<v Speaker 3>data clauding right.

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<v Speaker 2>One thing that we have learned from all our episodes

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<v Speaker 2>on data collection in the US is that it is

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<v Speaker 2>actually a really really insanely labor intensive thing to do.

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<v Speaker 2>You have to actually call up a bunch of people

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<v Speaker 2>homeowners for instance, or you have to call up a

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<v Speaker 2>bunch of businesses and ask questions. You have to go

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<v Speaker 2>out into the field and gather individual prices. And we

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<v Speaker 2>can have a debate over whether or not you could

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<v Speaker 2>maybe use new technology or price scanning data to make

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<v Speaker 2>all of that more efficient, but for the time being,

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<v Speaker 2>that's how it's done, and so you need people to

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<v Speaker 2>do it. And if DOGE comes in and eliminates, you know,

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<v Speaker 2>a big chunk of the budget, then it becomes harder

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<v Speaker 2>to do.

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<v Speaker 3>Or if it just gets more costly and the budget's

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<v Speaker 3>gone up, and then the one thing I would say

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<v Speaker 3>is that in our conversations, and again you have talked

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<v Speaker 3>to the BLS many times, they are really good. They're professionals,

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<v Speaker 3>and they take it very seriously.

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<v Speaker 2>They're very responsive, however, very transparent. We could talk about

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<v Speaker 2>this a little bit, but perhaps less responsive than they

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<v Speaker 2>used to be in recent weeks. So anyway, we should

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<v Speaker 2>talk about all of this. I think it's really important.

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<v Speaker 2>And as you said, there are big questions like what

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<v Speaker 2>happens if a president ouse a BLS chief and then

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<v Speaker 2>introduces a new one. We have the perfect guests. Someone

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<v Speaker 2>we've spoken to before about the decline of America's data infrastructure.

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<v Speaker 2>We're going to be speaking with Bill Beach. He is,

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<v Speaker 2>of course, the former Commissioner of Labor Statistics, former head

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<v Speaker 2>of the BLS. So Bill, thank you so much for

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<v Speaker 2>coming back on all thoughts.

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<v Speaker 4>Yeah, it's just really a pleasure to be back with you.

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<v Speaker 4>I wish we were talking about some other subject besides

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<v Speaker 4>this termination. I mean, it's just yeah, shocked.

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<v Speaker 2>Well, on that note, Friday, Trump tweets or posts that

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<v Speaker 2>he wants to fire Erica mc Andterfer, the Commissioner of

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<v Speaker 2>Labor Statistics. What was going through your mind when you

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<v Speaker 2>saw that news.

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<v Speaker 4>I was dumbcast. I just finished a luncheon meeting at

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<v Speaker 4>a very nice restaurant, and I was sitting in my

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<v Speaker 4>pickup truck and I just couldn't believe. And then I

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<v Speaker 4>sat there for probably thirty forty minutes, car running and

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<v Speaker 4>answering emails, people just sorting it out. It isn't that

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<v Speaker 4>he didn't have the authority to do so. He does

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<v Speaker 4>have the authority. We all, you know, everyone in the

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<v Speaker 4>executive branch serves as the pleasure of the president, except

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<v Speaker 4>those that have been specifically exempted by statute, and where

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<v Speaker 4>that statute has been signed by the President. I think

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<v Speaker 4>what was shocking about this is not that she was dismissed.

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<v Speaker 4>That's shocking enough. It was the possibility that we could

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<v Speaker 4>have now a sustained attack on official economic statistics, and

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<v Speaker 4>that would undermine confidence in those statistics and put us

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<v Speaker 4>in a path that other countries have followed. I mean

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<v Speaker 4>instantly people went to worst case. After a while, that

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<v Speaker 4>sort of settled down, and we began to look at

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<v Speaker 4>the reasons for the dismissal, which then subsequently said on

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<v Speaker 4>Twitter or x that they were they were unfounded. And

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<v Speaker 4>i haven't dropped that position since, so I'm happy to

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<v Speaker 4>talk about it.

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<v Speaker 3>Well, why don't we just back up for a second.

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<v Speaker 3>We talked to you before, because you've been sounding the

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<v Speaker 3>alarm about the capacity constraints to collect good data. But

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<v Speaker 3>just for people who haven't listened to or haven't followed you,

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<v Speaker 3>you were a Trump appointing. I mean, you served at

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<v Speaker 3>the head of the BLS in twenty seventeen, and so

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<v Speaker 3>I do you know, and it's tart of like, okay,

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<v Speaker 3>your credibility. Why don't you just give us a little

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<v Speaker 3>bit of background about who you are, your position, and

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<v Speaker 3>the concerns that you've been raising for some time about

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<v Speaker 3>the constraints at the BLS.

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<v Speaker 4>So I was really honored to be the Commissioner of

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<v Speaker 4>Labor Statistics from twenty nineteen until twenty twenty three. So

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<v Speaker 4>I served a little less than two years under President Trump.

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<v Speaker 4>He nominated me. It is a presidential nomination, Senate confirmed positions,

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<v Speaker 4>it has a statutory for your term. And then I

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<v Speaker 4>served the rest of my under President Biden. So I

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<v Speaker 4>was in both terms. I think that's kind of important

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<v Speaker 4>because the BLS Commissioner has been exempt from the normal

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<v Speaker 4>turning over of the presidency by party. And that's because

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<v Speaker 4>the view as well, these data are so important they

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<v Speaker 4>should not even be a part of the political appointment

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<v Speaker 4>process except when they come to. It's sort of like

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<v Speaker 4>you know, the Federal Reserve chair or something of that

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<v Speaker 4>nature has just seen as we want to keep it

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<v Speaker 4>out of politics. So I served over that period of time.

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<v Speaker 4>You know, that was the COVID period, so there were

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<v Speaker 4>all kinds of real challenges from that, but I think

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<v Speaker 4>the main thing that I drew from that period is

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<v Speaker 4>how important it is crucial, almost were the crisis level,

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<v Speaker 4>to modernize the way we collect data. The response rates

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<v Speaker 4>on the surveys are falling dramatically. I've made that point

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<v Speaker 4>on this program, and our costs arising dramatically, which makes

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<v Speaker 4>it really difficult to conduct those surveys in the future

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<v Speaker 4>and the way we have in the past, and then

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<v Speaker 4>the future is kind of going in the direction of

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<v Speaker 4>the employment survey, and I just said surveys are following

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<v Speaker 4>with the employment surveys a little different. It's not an

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<v Speaker 4>in person survey, it is an electronic survey, and we

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<v Speaker 4>need to invest more in the electronic side of statistical

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<v Speaker 4>creation or production, blended data, etc. I could do a

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<v Speaker 4>whole program on this, but your point was well made.

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<v Speaker 4>BLS has had some challenges in front of it, as

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<v Speaker 4>has the entire statistical system. Unfortunately, for this particular episode,

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<v Speaker 4>those challenges were really not I don't say relevant. They're relevant,

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<v Speaker 4>of course, but they're really not the reason why we

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<v Speaker 4>should have had a change at the top.

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<v Speaker 2>Well, speaking of the employment report, talk to us about

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<v Speaker 2>what exactly happens when the BLS is publishing the initial

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<v Speaker 2>non farm payrolls and then what happens, you know, in

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<v Speaker 2>the couple months or so before it publishes the revision,

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<v Speaker 2>and why does it seem we are getting these large

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<v Speaker 2>gaps at least in recent months and years.

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<v Speaker 4>Right, So the employment survey, the jobs numbers come from

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<v Speaker 4>a survey of businesses. The unemployment rate comes from a

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<v Speaker 4>survey of households. So there's two surveys involved in every

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<v Speaker 4>First Friday report. What we're talking about now is the

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<v Speaker 4>survey that goes out to businesses, and it goes out

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<v Speaker 4>to hundreds of thousands of businesses. Well, of course there's

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<v Speaker 4>still a probability sample, since there's well in excess of

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<v Speaker 4>twelve million businesses in our Census of business, our business register. Well,

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<v Speaker 4>those businesses are supposed to turn their surveys in at

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<v Speaker 4>the end of the month basically, but only about sixty

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<v Speaker 4>eight percent usually that's the average do so, and so

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<v Speaker 4>BLS keeps the window open for two more months, so

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<v Speaker 4>sixty eight percent or so at the end of the

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<v Speaker 4>first month they make the first estimate. Then at the

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<v Speaker 4>end of the second month we've get about eighty three

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<v Speaker 4>percent completion, and they revise that number of the first month,

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<v Speaker 4>and then by the third month we're into the nineties.

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<v Speaker 4>Usually end up around ninety three to ninety four percent

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<v Speaker 4>of all the sent out returns. Come back to us

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<v Speaker 4>with information. So it's a wonderful survey. The revisions are

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<v Speaker 4>done because we get more information from businesses. Oftentimes big

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<v Speaker 4>businesses answer first they have the capacity to do so,

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<v Speaker 4>and then we get smaller entities, state and local governments,

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<v Speaker 4>smaller businesses answer in those next two months. We always

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<v Speaker 4>have revisions. There's there's even when we say the number

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<v Speaker 4>did not change, it doesn't mean we didn't have revisions.

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<v Speaker 4>They just canceled each other out. There's just all these

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<v Speaker 4>revisions are coming in. The revisions have been high recently,

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<v Speaker 4>but this is not a typical of a period when

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<v Speaker 4>the economy is either going back to growth or going

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<v Speaker 4>down to subsidence. So oftentimes turning points in the economy

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<v Speaker 4>are accompanied by changes larger changes in the revisions. Particularly

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<v Speaker 4>in this case where we SUSPEC effect. Smaller businesses are

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<v Speaker 4>feeling the effects of the supply shock coming from the

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<v Speaker 4>tariff policy and from immigration, and that these supply shocks

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<v Speaker 4>are affecting smaller businesses more than they are larger businesses,

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<v Speaker 4>and state and local governments are being affected by another factor,

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<v Speaker 4>and that is the expiration of the COVID era money.

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<v Speaker 4>I think that was actually the root of a lot

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<v Speaker 4>of the changes that you saw on Friday. State and

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<v Speaker 4>local governments are not able to hire at the levels

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<v Speaker 4>they were going to hire at in previous years or

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<v Speaker 4>did hire at in previous years because they did not

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<v Speaker 4>have the subsidies that they had in previous years. So

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<v Speaker 4>these are important revisions. Actually, the research shows, and this

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<v Speaker 4>may shock you, that BLS is getting much better at

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<v Speaker 4>its first estimate than it was thirty years ago. In fact,

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<v Speaker 4>it's really kind of almost a steady progress towards greater accuracy.

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<v Speaker 4>So the big revisions are indicative of not air of

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<v Speaker 4>more information, and the bigger the revisions, the more likely

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<v Speaker 4>we are in a turning point.

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<v Speaker 3>There's so much that was in that answer that I

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<v Speaker 3>found to be very helpful and clarifying, so thank you.

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<v Speaker 3>I mean, just this idea, you know, a that actually

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<v Speaker 3>over time, contrary to what people on Twitter might think,

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<v Speaker 3>that the equality of that first pass has actually gone

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<v Speaker 3>up is very striking.

0:12:24.360 --> 0:12:24.520
<v Speaker 1>You know.

0:12:24.960 --> 0:12:28.400
<v Speaker 3>Let's stipulate that, Okay, the BLIS could use some upgrading.

0:12:28.440 --> 0:12:32.119
<v Speaker 3>As you mentioned that there are these capacity constraints, non response,

0:12:32.200 --> 0:12:34.680
<v Speaker 3>the cost of going out. Maybe it needs to adopt

0:12:34.720 --> 0:12:37.839
<v Speaker 3>more technology in some way to solve for this. Does

0:12:37.880 --> 0:12:42.360
<v Speaker 3>the BLS currently have that capacity, either budgetary wise or

0:12:42.440 --> 0:12:46.600
<v Speaker 3>statutory authority such that a commissioner could just do that

0:12:47.240 --> 0:12:50.040
<v Speaker 3>whatever it is that ideal state, or would it need

0:12:50.080 --> 0:12:52.560
<v Speaker 3>either some sort of budgetary allocation or an Act of

0:12:52.600 --> 0:12:56.040
<v Speaker 3>Congress to get to the point where it's you know,

0:12:56.120 --> 0:12:58.120
<v Speaker 3>getting to the level that we are happy with.

0:12:58.160 --> 0:13:01.520
<v Speaker 4>Again, it has the authority to make the changes, it

0:13:01.559 --> 0:13:04.880
<v Speaker 4>doesn't have the budget to do so. And it isn't

0:13:04.920 --> 0:13:07.680
<v Speaker 4>that BLS just needs more money, right. As a matter

0:13:07.720 --> 0:13:09.800
<v Speaker 4>of fact, I think Congress, if it paid more attention,

0:13:10.240 --> 0:13:12.720
<v Speaker 4>would say, well, what are you spending your money on now?

0:13:12.800 --> 0:13:16.400
<v Speaker 4>And let's make sure that the low priority is canceled

0:13:16.520 --> 0:13:18.559
<v Speaker 4>so that we can support the high priority. I think

0:13:18.679 --> 0:13:21.480
<v Speaker 4>BLS would be very happy with that. But we do

0:13:21.559 --> 0:13:24.360
<v Speaker 4>need more money. And why Well, if you're going to

0:13:24.480 --> 0:13:27.680
<v Speaker 4>change an official statistic, the unemployment rate, let's just take that.

0:13:29.040 --> 0:13:31.199
<v Speaker 4>You want to be really careful, right, You want to

0:13:31.280 --> 0:13:34.200
<v Speaker 4>run tests, you want to test out your new idea.

0:13:34.559 --> 0:13:37.480
<v Speaker 4>You don't want to have a count the number of

0:13:37.520 --> 0:13:39.360
<v Speaker 4>geese in the air, and that's the unemployment rate. You

0:13:39.400 --> 0:13:41.520
<v Speaker 4>want to make sure that that is a particularly good

0:13:41.600 --> 0:13:45.520
<v Speaker 4>indicator of the employment market, and you want to test

0:13:45.559 --> 0:13:48.360
<v Speaker 4>it in real time as well as experimental time. You

0:13:48.440 --> 0:13:51.400
<v Speaker 4>in real time, so run it parallel. We these tests

0:13:51.840 --> 0:13:56.480
<v Speaker 4>expand the costs of your unemployment statistics program because you're

0:13:56.520 --> 0:14:03.040
<v Speaker 4>running essentially two systems simultaneously. That to modify the current

0:14:03.080 --> 0:14:07.080
<v Speaker 4>population survey, which is the survey of households, would cost

0:14:07.200 --> 0:14:11.200
<v Speaker 4>around fifteen million to twenty million in experimental costs over

0:14:11.240 --> 0:14:14.400
<v Speaker 4>a two year period. It's not great. The program itself

0:14:14.440 --> 0:14:17.360
<v Speaker 4>costs about forty five million a year, but it does

0:14:17.480 --> 0:14:19.520
<v Speaker 4>add to the cost for those two years or so.

0:14:19.920 --> 0:14:22.600
<v Speaker 4>Congress could could easily do that. I mean, oh my gosh,

0:14:22.680 --> 0:14:25.000
<v Speaker 4>Congress is spending a lot more money than that on

0:14:25.080 --> 0:14:28.280
<v Speaker 4>things that we might disagree with. But they need to

0:14:28.320 --> 0:14:30.840
<v Speaker 4>allocate a little bit of money to CPS for that.

0:14:31.040 --> 0:14:33.880
<v Speaker 4>Does it have the authority? Here's a really interesting story.

0:14:34.400 --> 0:14:38.480
<v Speaker 4>During COVID, we canceled all travel, all conferences, you know,

0:14:39.080 --> 0:14:41.720
<v Speaker 4>and I was surprised at how many millions of dollars

0:14:42.160 --> 0:14:46.360
<v Speaker 4>went into travel and conferences and meetings. So this became

0:14:46.400 --> 0:14:49.320
<v Speaker 4>for me couch money during the COVID years, and I

0:14:49.400 --> 0:14:52.480
<v Speaker 4>was able to spend that money, you know, on important

0:14:52.520 --> 0:14:54.520
<v Speaker 4>things I thought, So I did a lot of things,

0:14:54.560 --> 0:14:56.720
<v Speaker 4>like I've built a new data center to get us

0:14:56.760 --> 0:14:58.520
<v Speaker 4>out of the basement of one hundred and four year

0:14:58.560 --> 0:15:03.000
<v Speaker 4>old building out to a wonderful above ground local location.

0:15:03.160 --> 0:15:06.280
<v Speaker 4>But I also started a number of research programs.

0:15:06.320 --> 0:15:06.520
<v Speaker 2>You know.

0:15:06.600 --> 0:15:10.280
<v Speaker 4>I made thirty one big modifications to do the CPI.

0:15:11.240 --> 0:15:15.240
<v Speaker 4>We started a whole new approach on looking at consumer expenditures,

0:15:15.360 --> 0:15:21.960
<v Speaker 4>and I subsidized some experimentation on the Jobs Report well

0:15:22.000 --> 0:15:24.600
<v Speaker 4>as it as COVID was over, we started to get

0:15:24.800 --> 0:15:30.080
<v Speaker 4>congressionally mandated programs that then sucked up all that counch money.

0:15:30.960 --> 0:15:33.960
<v Speaker 4>If we had a little bit of extra, we I

0:15:33.960 --> 0:15:36.160
<v Speaker 4>mean be only asked a little bit of extra to

0:15:36.200 --> 0:15:39.280
<v Speaker 4>do these things. Let's just think of the innovation that

0:15:39.400 --> 0:15:41.920
<v Speaker 4>they would happen. I think we would quickly be out

0:15:42.000 --> 0:15:47.160
<v Speaker 4>of the problems that we are facing from a methodological standpoint,

0:15:47.280 --> 0:15:50.320
<v Speaker 4>and that might then reduce the political pressure that we

0:15:50.360 --> 0:15:52.240
<v Speaker 4>saw that was so evident on Friday.

0:15:52.600 --> 0:15:56.280
<v Speaker 2>So we're recording this August fourth, nine, five am in

0:15:56.320 --> 0:15:58.920
<v Speaker 2>the morning and thirty three seconds. I feel like I

0:15:58.960 --> 0:16:02.080
<v Speaker 2>need to be that specific nowadays with the newsflow, so

0:16:02.120 --> 0:16:04.800
<v Speaker 2>who knows what happens between now and when this episode

0:16:04.880 --> 0:16:08.840
<v Speaker 2>actually comes out, but we are expecting the administration to

0:16:08.880 --> 0:16:13.360
<v Speaker 2>announce a new BLS head in the coming days. What

0:16:13.560 --> 0:16:16.840
<v Speaker 2>happens now, you know, there's a Trump appointee for a

0:16:16.880 --> 0:16:21.360
<v Speaker 2>new statistics commissioner after the President has specifically stated that

0:16:21.440 --> 0:16:26.400
<v Speaker 2>he thinks the previous commissioner was politically motivated in some way.

0:16:26.880 --> 0:16:29.520
<v Speaker 2>Are people still going to believe the numbers that are

0:16:29.560 --> 0:16:31.400
<v Speaker 2>coming out? And how do you think that's actually going

0:16:31.440 --> 0:16:36.160
<v Speaker 2>to play internally at the BLS, at an organization whose whole,

0:16:36.320 --> 0:16:40.480
<v Speaker 2>you know, Raison Deutch is to find, you know, factual

0:16:40.680 --> 0:16:43.760
<v Speaker 2>numbers and statistics to portray the American economy.

0:16:44.680 --> 0:16:46.720
<v Speaker 4>Well, I think there has been damage and it will

0:16:46.760 --> 0:16:49.840
<v Speaker 4>take time to recover from that damage. The last time,

0:16:49.960 --> 0:16:54.600
<v Speaker 4>there was a serious political effort on BLSS during the

0:16:54.680 --> 0:16:59.280
<v Speaker 4>Nixon administration and it took some time for BLS to

0:16:59.360 --> 0:17:02.160
<v Speaker 4>recover from that, though the action taken by the President

0:17:02.200 --> 0:17:05.399
<v Speaker 4>at that time visa BLS was not, I think as

0:17:05.880 --> 0:17:09.919
<v Speaker 4>significant as this one. So he just imagined that the

0:17:09.920 --> 0:17:14.080
<v Speaker 4>President decides to appoint Saint Peter, you know, as the

0:17:14.119 --> 0:17:17.760
<v Speaker 4>new BLS commissioner, and of course Saint Peter has a

0:17:17.800 --> 0:17:22.120
<v Speaker 4>reputation for honesty and for clarity of thought. Still it'll

0:17:22.119 --> 0:17:24.720
<v Speaker 4>be the case because Saint Peter won't have any control

0:17:24.840 --> 0:17:27.480
<v Speaker 4>over the way that the data are collected, the data

0:17:27.560 --> 0:17:30.960
<v Speaker 4>are assembled, or the estimates that are done. That's all

0:17:31.000 --> 0:17:33.760
<v Speaker 4>done outside of the of the knowledge of the commissioner.

0:17:33.760 --> 0:17:36.080
<v Speaker 4>Commissioner has no control over that. In fact, you're locked

0:17:36.080 --> 0:17:39.159
<v Speaker 4>out of that whole process. So it will be the

0:17:39.160 --> 0:17:42.480
<v Speaker 4>case that Saint Peter will have a month come when

0:17:42.640 --> 0:17:45.880
<v Speaker 4>the unemployment rate will be disappointingly low, could even be negative.

0:17:46.800 --> 0:17:50.560
<v Speaker 4>But I think given what has just happened, people will say, well,

0:17:51.880 --> 0:17:55.040
<v Speaker 4>Saint Peter probably influenced that number and it's not as

0:17:55.080 --> 0:17:58.520
<v Speaker 4>bad as it really is. So for a while, that

0:17:58.680 --> 0:18:02.679
<v Speaker 4>suspicion that the estimate that's in ount it's really not

0:18:02.800 --> 0:18:06.320
<v Speaker 4>the real estimate, will be in the minds of some people,

0:18:06.359 --> 0:18:08.760
<v Speaker 4>not in my mind, because I know that these people

0:18:08.760 --> 0:18:11.399
<v Speaker 4>who work there, the professionals, the full time staff, the

0:18:11.440 --> 0:18:15.439
<v Speaker 4>patriots that work there, the loyal Americans who are just

0:18:15.920 --> 0:18:20.400
<v Speaker 4>extremely diligent in doing an absolutely objective job. Those people

0:18:20.480 --> 0:18:22.879
<v Speaker 4>are still in place. But if you don't have my

0:18:23.000 --> 0:18:25.960
<v Speaker 4>level of knowledge, or a reasonable level of knowledge of

0:18:26.000 --> 0:18:30.399
<v Speaker 4>how internally BLS works, you're going to be subject to

0:18:30.480 --> 0:18:35.080
<v Speaker 4>these falsehoods and accusations, and that will be damaging, That

0:18:35.160 --> 0:18:38.280
<v Speaker 4>will reduce investment, that will reduce economic activity, That will

0:18:38.280 --> 0:18:42.360
<v Speaker 4>make at least that will create greater uncertainty about what's

0:18:42.400 --> 0:18:47.040
<v Speaker 4>happening inside the US economy. Policymakers will be less clear

0:18:47.240 --> 0:18:49.240
<v Speaker 4>in the direction that they take, So there will be

0:18:49.280 --> 0:18:52.320
<v Speaker 4>a time when we need to recover. No matter who's appointed,

0:18:52.920 --> 0:18:55.719
<v Speaker 4>I hope that it will be a short lived time.

0:18:56.000 --> 0:18:59.680
<v Speaker 4>And my guess is, given the reputation of BLS, if

0:18:59.800 --> 0:19:04.320
<v Speaker 4>someone you know, really reputable is appointed, then yeah, I

0:19:04.359 --> 0:19:06.920
<v Speaker 4>don't think the period of transition will be that a lot.

0:19:07.440 --> 0:19:10.120
<v Speaker 2>All right, Well, Bill Beach really appreciate you coming back

0:19:10.160 --> 0:19:13.119
<v Speaker 2>on the show. Thank you so much for being on

0:19:13.200 --> 0:19:13.680
<v Speaker 2>Off Box.

0:19:13.920 --> 0:19:14.920
<v Speaker 3>Thanks Bill, that was great.

0:19:15.119 --> 0:19:16.480
<v Speaker 4>Thank you very much for asking me.

0:19:29.920 --> 0:19:31.840
<v Speaker 2>Joe so good to get Bill back on to talk

0:19:31.840 --> 0:19:34.400
<v Speaker 2>about this. Really the perfect guest. There are so many,

0:19:34.560 --> 0:19:38.800
<v Speaker 2>I guess ironies involved in this whole conversation. The big one,

0:19:38.840 --> 0:19:41.919
<v Speaker 2>of course, is this idea that like, well, if Trump

0:19:41.960 --> 0:19:44.400
<v Speaker 2>wants to convince everyone that the US economy is doing

0:19:44.440 --> 0:19:47.720
<v Speaker 2>fantastic and job growth is great, then firing the head

0:19:47.720 --> 0:19:52.080
<v Speaker 2>of statistics and having everyone distrust, you know, the subsequent numbers,

0:19:52.160 --> 0:19:55.919
<v Speaker 2>because the subsequent head might be a political appointee who's

0:19:55.960 --> 0:19:58.399
<v Speaker 2>you know, a loyalist to Trump. It seems like you're

0:19:58.440 --> 0:19:59.800
<v Speaker 2>sort of shooting yourself in the foot.

0:20:00.080 --> 0:20:03.720
<v Speaker 3>The other huge contradiction is that he says Powell is

0:20:03.760 --> 0:20:06.200
<v Speaker 3>too late. Yea wait, this is the other huge contradiction,

0:20:06.280 --> 0:20:08.399
<v Speaker 3>which is every day he slams Powell, he's like, oh,

0:20:08.440 --> 0:20:11.600
<v Speaker 3>you're too late, you need to cut rates. Well, if

0:20:11.640 --> 0:20:14.520
<v Speaker 3>the job numbers were weak, then I could understand this

0:20:14.680 --> 0:20:17.080
<v Speaker 3>argument to some extent, oh the job But he's also

0:20:17.920 --> 0:20:20.840
<v Speaker 3>casting expersions on the negative jobs numbers. So how is

0:20:20.880 --> 0:20:23.119
<v Speaker 3>Powell too late? I mean, this is I mean, it's

0:20:23.160 --> 0:20:27.000
<v Speaker 3>an irretrievable contradiction in the two criticism of both of

0:20:27.000 --> 0:20:28.120
<v Speaker 3>the Fed and the BLS.

0:20:28.160 --> 0:20:31.120
<v Speaker 2>It's definitely a contradiction. I don't think, however, that Trump

0:20:31.240 --> 0:20:36.440
<v Speaker 2>necessarily draws a direct connection between the unemployment rate and interest.

0:20:36.160 --> 0:20:36.760
<v Speaker 3>Rates as well.

0:20:37.600 --> 0:20:40.600
<v Speaker 2>You know, he seems to just like low interest rates.

0:20:40.359 --> 0:20:43.280
<v Speaker 3>And he seems to perceive that low interest rates are

0:20:43.359 --> 0:20:48.360
<v Speaker 3>basically a reward for an improving economy. But yes, but I.

0:20:48.280 --> 0:20:51.520
<v Speaker 2>Mean, lots of other contradictions. You're absolutely right. So another

0:20:51.600 --> 0:20:53.760
<v Speaker 2>one is this idea that Okay, a lot of the

0:20:53.760 --> 0:20:56.880
<v Speaker 2>weakness came through on the revision side. The revisions are

0:20:56.960 --> 0:21:00.199
<v Speaker 2>mostly coming from small businesses who reply late. And if

0:21:00.240 --> 0:21:02.639
<v Speaker 2>you think about the Trump administration, you know, they always

0:21:02.680 --> 0:21:06.920
<v Speaker 2>sort of portray themselves as a good business environment for

0:21:07.200 --> 0:21:10.720
<v Speaker 2>smaller businesses, and it might be that that scenario that's

0:21:10.720 --> 0:21:11.880
<v Speaker 2>seeing some weakness.

0:21:12.240 --> 0:21:15.400
<v Speaker 3>I thought your question about sort of internal morale, and

0:21:15.760 --> 0:21:19.440
<v Speaker 3>as Bill said, you know, an agency staffed with patriots,

0:21:20.000 --> 0:21:22.359
<v Speaker 3>I mean, I just you know, is Bilska going to

0:21:22.400 --> 0:21:25.080
<v Speaker 3>be continue to be a destination for people who are

0:21:25.400 --> 0:21:28.359
<v Speaker 3>patriots right or take their job seriously in the future

0:21:28.840 --> 0:21:31.520
<v Speaker 3>is a really interesting question. Also, the idea that like

0:21:31.560 --> 0:21:34.080
<v Speaker 3>maybe we could like get high data quality for like

0:21:34.080 --> 0:21:37.239
<v Speaker 3>twenty million dollars. Given how much that's worth, it's just

0:21:37.359 --> 0:21:39.440
<v Speaker 3>like drives you crazy if that's really all it took.

0:21:39.680 --> 0:21:41.600
<v Speaker 3>But also I really like this idea that it would

0:21:41.600 --> 0:21:44.440
<v Speaker 3>have to always be done in parallel with the current thing,

0:21:44.800 --> 0:21:47.880
<v Speaker 3>such that the new data is sort of provably backwards

0:21:47.960 --> 0:21:50.280
<v Speaker 3>compatible with the old data. Right, so if you're going

0:21:50.320 --> 0:21:53.000
<v Speaker 3>to adopt a new methodology, you need some allocation, run

0:21:53.040 --> 0:21:56.119
<v Speaker 3>two surveys at once, et cetera. Anyway, even in a

0:21:56.200 --> 0:21:58.880
<v Speaker 3>very short conversation. Learned a lot from Bill. Absolutely.

0:21:58.960 --> 0:22:00.439
<v Speaker 2>I do think it's worth pointing out out that there

0:22:00.440 --> 0:22:03.800
<v Speaker 2>are other statistical agencies in the world that are experimenting

0:22:04.040 --> 0:22:08.320
<v Speaker 2>with new technology for data sources. The UK Statistics Agency

0:22:08.400 --> 0:22:10.600
<v Speaker 2>in particular, they're going to start using you know, price

0:22:10.640 --> 0:22:12.400
<v Speaker 2>scanning data for CPI.

0:22:12.800 --> 0:22:15.040
<v Speaker 3>Wait, have you heard about the whole thing though, with

0:22:15.119 --> 0:22:17.840
<v Speaker 3>how they moved the Ons to Wales and no one

0:22:17.880 --> 0:22:20.280
<v Speaker 3>wanted to go out there, And have you heard about this?

0:22:20.800 --> 0:22:23.680
<v Speaker 2>I have Wales. It's all that bad.

0:22:23.600 --> 0:22:27.640
<v Speaker 3>Attribute the largest of the government across. Everyone loves that idea.

0:22:27.720 --> 0:22:30.280
<v Speaker 3>Let's not have it all be concentrated in London. They're like, okay,

0:22:30.320 --> 0:22:32.600
<v Speaker 3>we're going to make everyone move to Wales and now

0:22:32.640 --> 0:22:35.639
<v Speaker 3>it's a lot harder for the Ons to hire anyone. Anyway,

0:22:35.680 --> 0:22:38.360
<v Speaker 3>it's just a little interesting story out Maybe we'll cover

0:22:38.440 --> 0:22:38.840
<v Speaker 3>it at.

0:22:38.680 --> 0:22:41.000
<v Speaker 2>Some point why people don't want to move to Wales.

0:22:41.160 --> 0:22:44.840
<v Speaker 3>No interesting, it's interesting, right, Like there's intuitively I love

0:22:44.920 --> 0:22:46.720
<v Speaker 3>this idea of like, oh, why should all of the

0:22:46.760 --> 0:22:49.920
<v Speaker 3>government spending on public sector stuff at the federal level

0:22:50.680 --> 0:22:53.800
<v Speaker 3>in the richest city in the UK, or why should

0:22:53.840 --> 0:22:56.200
<v Speaker 3>it all be in dc et cetera. Should this idea

0:22:56.200 --> 0:22:58.240
<v Speaker 3>of diffuse anyway, it's a separate thing. It's actually some

0:22:58.400 --> 0:22:59.960
<v Speaker 3>interesting challenges arise for.

0:23:00.440 --> 0:23:01.560
<v Speaker 2>Okay, shall we leave it there?

0:23:01.600 --> 0:23:02.320
<v Speaker 3>Yeah's leave it there.

0:23:02.400 --> 0:23:04.520
<v Speaker 2>This has been another episode of the oud Lots podcast.

0:23:04.560 --> 0:23:07.680
<v Speaker 2>I'm Tracy Alloway. You can follow me at Tracy Alloway.

0:23:07.480 --> 0:23:10.440
<v Speaker 3>And I'm Joe Wisenthal. You can follow me at the Stalwart.

0:23:10.480 --> 0:23:13.640
<v Speaker 3>Follow our guest William Beach, He's at Beach WW four

0:23:13.800 --> 0:23:17.440
<v Speaker 3>five three. Follow our producers Carmen Rodriguez at Kerman Ermann,

0:23:17.520 --> 0:23:20.480
<v Speaker 3>Dashel Bennett at Dashbot, and Kale Brooks and Kale Brooks.

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<v Speaker 3>More odd Lots content go to Bloomberg dot com slash

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0:23:26.080 --> 0:23:28.280
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<v Speaker 2>And if you enjoy odd Lots, if you like it

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