WEBVTT - Bloomberg Surveillance: Jobs & Election (Podcast)

0:00:02.440 --> 0:00:07.520
<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

0:00:11.960 --> 0:00:16.360
<v Speaker 2>This is the Bloomberg Surveillance Podcast. Catch us live weekdays

0:00:16.400 --> 0:00:19.880
<v Speaker 2>at seven am Eastern on applecar Player, Android Auto with

0:00:19.920 --> 0:00:23.360
<v Speaker 2>the Bloomberg Business App. Listen on demand wherever you get

0:00:23.360 --> 0:00:26.239
<v Speaker 2>your podcasts, or watch us live on YouTube.

0:00:26.720 --> 0:00:29.720
<v Speaker 3>We now turn to Claudia sam without question my Economists

0:00:29.760 --> 0:00:32.839
<v Speaker 3>of the Year for two twenty five or impact her

0:00:33.680 --> 0:00:37.879
<v Speaker 3>informed debate off the Simmer role. Of course, all of it,

0:00:38.000 --> 0:00:40.959
<v Speaker 3>you know, really focused on Jackson Hole, and she had

0:00:40.960 --> 0:00:43.400
<v Speaker 3>a dinner at Jackson Hole, folks. I couldn't go to

0:00:43.440 --> 0:00:47.400
<v Speaker 3>it because a golf stream was leaving Dodge. But Claudia

0:00:47.479 --> 0:00:50.640
<v Speaker 3>Sim with huge influence here in twenty twenty four, so

0:00:50.640 --> 0:00:52.320
<v Speaker 3>I got to go just to the ratios and I

0:00:52.320 --> 0:00:55.400
<v Speaker 3>look at the unemployment rate four point one percent, the

0:00:55.520 --> 0:01:02.000
<v Speaker 3>quiescence there. The revisions are a little more less enthusiastic

0:01:02.080 --> 0:01:05.479
<v Speaker 3>than maybe what we saw twenty nine days ago. I'm

0:01:05.520 --> 0:01:08.120
<v Speaker 3>just looking at you know, there's eight nine six statistics here,

0:01:08.200 --> 0:01:13.360
<v Speaker 3>manufacturing payrolls negative six thousand, and the revision features up

0:01:13.400 --> 0:01:15.560
<v Speaker 3>twenty three, now up twenty there's a little bit of

0:01:15.560 --> 0:01:19.240
<v Speaker 3>a pullback, and the equity MARKETSIVIX twenty two point zero eight.

0:01:19.520 --> 0:01:22.280
<v Speaker 3>Paul Sweeney always going to the two year yeo Apolic

0:01:22.360 --> 0:01:23.319
<v Speaker 3>comes in with a vengeance.

0:01:23.360 --> 0:01:25.080
<v Speaker 4>Here, that's the point one two percent.

0:01:25.200 --> 0:01:26.560
<v Speaker 5>Yeah, four point one two percent.

0:01:26.640 --> 0:01:28.720
<v Speaker 6>So again the revision's time just from the last month,

0:01:29.480 --> 0:01:31.960
<v Speaker 6>changing non farm payrolls, we were at two fifty four

0:01:32.080 --> 0:01:33.839
<v Speaker 6>now revised down to two twenty three, so a little

0:01:33.840 --> 0:01:37.080
<v Speaker 6>bit weaker. But again the headline today twelve thousand changing

0:01:37.120 --> 0:01:39.640
<v Speaker 6>non farm payrolls. Consensus was one hundred thousand. But again

0:01:39.680 --> 0:01:42.440
<v Speaker 6>the economists have been warning us that, you know, we

0:01:42.560 --> 0:01:44.840
<v Speaker 6>had the hurricanes, we've got some various strikes, and that's

0:01:44.880 --> 0:01:46.520
<v Speaker 6>going to make this number, you know, a little bit tough.

0:01:46.680 --> 0:01:50.120
<v Speaker 3>This Yeah, and again the net revision is a negative

0:01:50.280 --> 0:01:51.200
<v Speaker 3>one twelve.

0:01:52.000 --> 0:01:53.000
<v Speaker 4>So it's easy math.

0:01:53.080 --> 0:01:57.040
<v Speaker 3>I take twelve thousand positive minus one twelve is a

0:01:57.080 --> 0:02:00.240
<v Speaker 3>negative one hundred thousand. Claudius sim is going, and why

0:02:00.280 --> 0:02:03.880
<v Speaker 3>am I dealing with these financial media tools, she joins

0:02:03.960 --> 0:02:06.960
<v Speaker 3>us right now, I mean the value here, Claudie, is

0:02:07.000 --> 0:02:11.160
<v Speaker 3>going to be am I correct massive revisions thirty sixty

0:02:11.280 --> 0:02:15.160
<v Speaker 3>even ninety days out.

0:02:14.600 --> 0:02:17.920
<v Speaker 7>When not even necessarily revisions, we could just see next

0:02:17.960 --> 0:02:21.760
<v Speaker 7>month's number be a big, strong positive, right, kind of unwinded.

0:02:22.080 --> 0:02:24.720
<v Speaker 7>They're really we had two major hurricanes and we had

0:02:24.760 --> 0:02:27.240
<v Speaker 7>a strike happening in the period that we're trying to

0:02:27.280 --> 0:02:30.840
<v Speaker 7>measure jobs. It probably really was a hit to the jobs. Now,

0:02:30.919 --> 0:02:33.520
<v Speaker 7>I will say I feel pre vindicated. My substack piece

0:02:33.560 --> 0:02:36.000
<v Speaker 7>this week that was the preview for this was talking

0:02:36.000 --> 0:02:39.480
<v Speaker 7>about this could be our negative payroll print, and it's

0:02:39.760 --> 0:02:41.480
<v Speaker 7>it's not negative. So I was wrong on that one,

0:02:41.520 --> 0:02:43.240
<v Speaker 7>but it is this was a low print. And the

0:02:43.360 --> 0:02:46.320
<v Speaker 7>argument there is even if we had even if like

0:02:46.400 --> 0:02:49.360
<v Speaker 7>the reality is we're kind of moving along at trend growth,

0:02:49.400 --> 0:02:51.480
<v Speaker 7>which is a little under two hundred thousand, like that

0:02:51.639 --> 0:02:54.720
<v Speaker 7>was the pace before the pandemic. Well, you get one

0:02:54.800 --> 0:02:57.799
<v Speaker 7>hundred thousand knocked off because of hurricanes and the strike,

0:02:57.840 --> 0:03:00.960
<v Speaker 7>which was Governor Chris Waller's as sestimate of what that

0:03:01.000 --> 0:03:03.800
<v Speaker 7>effect would be. And then you take into account that

0:03:03.800 --> 0:03:08.680
<v Speaker 7>these are survey estimates, they are imprecise. The BLS tells

0:03:08.760 --> 0:03:12.880
<v Speaker 7>us that always the confidence interval around an estimate is

0:03:12.960 --> 0:03:17.000
<v Speaker 7>over one hundred thousand jobs. So we really that number,

0:03:17.040 --> 0:03:20.280
<v Speaker 7>that twelve thousand we got today that could be entirely

0:03:20.360 --> 0:03:23.040
<v Speaker 7>consistent with the labor market that's growing at Trent and frankly,

0:03:23.080 --> 0:03:26.000
<v Speaker 7>the un employment rate staying low. That really goes in

0:03:26.040 --> 0:03:26.480
<v Speaker 7>that court.

0:03:26.760 --> 0:03:27.400
<v Speaker 4>Let me get out that.

0:03:27.480 --> 0:03:28.720
<v Speaker 7>This was more disruptions.

0:03:28.840 --> 0:03:29.600
<v Speaker 4>Let me get out front.

0:03:29.600 --> 0:03:31.840
<v Speaker 3>It's November one, so it's not tacky. If I was

0:03:31.880 --> 0:03:34.639
<v Speaker 3>saying she was our economist of the Year in September,

0:03:34.639 --> 0:03:35.520
<v Speaker 3>that would be tacky.

0:03:35.560 --> 0:03:37.120
<v Speaker 4>But come on November one.

0:03:37.280 --> 0:03:40.680
<v Speaker 3>Neil Dutta last year killed it with his optimism on

0:03:40.840 --> 0:03:45.160
<v Speaker 3>three percentage GDP. Claudius, I'm killed it this year, charging

0:03:45.200 --> 0:03:48.320
<v Speaker 3>the debate here on our labor economy. She's a New

0:03:48.320 --> 0:03:51.880
<v Speaker 3>Century Advisors, Claudius, I'm SIA next month joining us right

0:03:51.920 --> 0:03:55.280
<v Speaker 3>now in studio Ellen Zenner, she runs an Apple iPhone

0:03:55.360 --> 0:03:57.840
<v Speaker 3>Like no one do you need an iPhone sixteen to

0:03:57.880 --> 0:03:59.080
<v Speaker 3>go through the data faster?

0:03:59.240 --> 0:04:00.880
<v Speaker 4>Now normally going this.

0:04:01.120 --> 0:04:02.000
<v Speaker 8>Is my work phone.

0:04:02.200 --> 0:04:05.360
<v Speaker 9>I am a Android Samsummer.

0:04:05.480 --> 0:04:07.000
<v Speaker 8>Yeah, I'm that age guys.

0:04:07.160 --> 0:04:10.480
<v Speaker 9>Yeah, as I'm forced to use an iPhone and I

0:04:10.480 --> 0:04:12.280
<v Speaker 9>only know how to check email slow motion.

0:04:12.400 --> 0:04:15.880
<v Speaker 3>Lisa Shllett has the iPhone sixteen pro Ellen Center with

0:04:16.000 --> 0:04:19.440
<v Speaker 3>us now, of course, with Morgan Stanley's Global Investment Office.

0:04:19.560 --> 0:04:24.680
<v Speaker 3>You linked consumption into labor like nobody I know. We

0:04:24.760 --> 0:04:27.960
<v Speaker 3>had a buoyant consumption number are we taking it all

0:04:28.000 --> 0:04:31.240
<v Speaker 3>from savings and is it a fake labor economy?

0:04:31.600 --> 0:04:32.520
<v Speaker 8>No, not at all.

0:04:32.880 --> 0:04:35.040
<v Speaker 9>I mean, look, new data that we got some weeks

0:04:35.040 --> 0:04:38.719
<v Speaker 9>ago showed that it turns out we've spent a lot

0:04:38.760 --> 0:04:42.640
<v Speaker 9>more than we thought, and savings was still higher because

0:04:42.640 --> 0:04:45.159
<v Speaker 9>income numbers are just been revised up that much.

0:04:45.760 --> 0:04:48.000
<v Speaker 8>So we still got income that's really robust.

0:04:48.640 --> 0:04:50.920
<v Speaker 9>And I agree with Claudia that there is still a

0:04:51.000 --> 0:04:53.279
<v Speaker 9>lot of disruption in these numbers, and this probably is

0:04:53.360 --> 0:04:56.600
<v Speaker 9>consistent with a labor market growing at trend, and so

0:04:56.640 --> 0:05:00.800
<v Speaker 9>we're still producing enough income to support consumption. I mean,

0:05:00.880 --> 0:05:04.440
<v Speaker 9>look at consumption of lower income consumers. They are really

0:05:04.480 --> 0:05:07.240
<v Speaker 9>going to love these lower gas prices that frees up

0:05:07.240 --> 0:05:11.080
<v Speaker 9>a lot of buying power as well. So still yeah, yeah,

0:05:11.120 --> 0:05:16.520
<v Speaker 9>and wage growth is still healthy while inflation's coming down.

0:05:16.600 --> 0:05:18.600
<v Speaker 9>So you got real wages that are positive, You've got

0:05:18.600 --> 0:05:21.560
<v Speaker 9>gas prices that are lower, and so you're getting some

0:05:21.600 --> 0:05:23.920
<v Speaker 9>support coming back for lower income households as well.

0:05:24.760 --> 0:05:27.080
<v Speaker 6>So you mentioned the average hourly earnings on a year

0:05:27.120 --> 0:05:31.320
<v Speaker 6>of a year basis four percent. That's pretty solid, right,

0:05:31.360 --> 0:05:34.160
<v Speaker 6>I mean, give us a sense of historically where that

0:05:34.240 --> 0:05:35.839
<v Speaker 6>number typically comes in.

0:05:36.200 --> 0:05:41.520
<v Speaker 9>Well, that number, so look average hourly earnings in this report.

0:05:41.760 --> 0:05:45.240
<v Speaker 9>It's a tiny sample and it can be distorted from

0:05:45.279 --> 0:05:48.000
<v Speaker 9>month to month depending on what hours worked do so

0:05:48.200 --> 0:05:52.000
<v Speaker 9>it's a calculation thing. And so four percent average dollity

0:05:52.040 --> 0:05:54.200
<v Speaker 9>earnings on you over your basis, you would say, gosh,

0:05:54.279 --> 0:05:56.880
<v Speaker 9>that's a little bit higher than what would be consistent

0:05:56.920 --> 0:06:00.120
<v Speaker 9>with the fed's two percent goal. But you look, I'll

0:06:00.120 --> 0:06:03.159
<v Speaker 9>get the Employment Cost Index, which came out this week.

0:06:03.600 --> 0:06:05.760
<v Speaker 9>That was Yellen's favorite measure. It continues to be the

0:06:05.760 --> 0:06:09.760
<v Speaker 9>Fed's favorite measures moment. It's a much more comprehensive measure

0:06:10.400 --> 0:06:14.240
<v Speaker 9>of wages and labor costs. And that is absolutely right

0:06:14.240 --> 0:06:17.320
<v Speaker 9>now consistent with the fed's two percentle which means that

0:06:17.400 --> 0:06:18.039
<v Speaker 9>yes it is.

0:06:18.120 --> 0:06:20.280
<v Speaker 8>It is healthy. So you're right, it's healthy, but it's

0:06:20.320 --> 0:06:20.680
<v Speaker 8>not too.

0:06:21.160 --> 0:06:23.640
<v Speaker 4>Amazing, not too fast. I'm bringing it up while you're talking.

0:06:24.279 --> 0:06:27.760
<v Speaker 3>ECI from five percent five percent into three point nine

0:06:27.800 --> 0:06:31.360
<v Speaker 3>percent year of year nowhere near back to two point

0:06:32.040 --> 0:06:36.279
<v Speaker 3>seventy five percent, sort of pre pandemic as well. You know,

0:06:36.279 --> 0:06:38.240
<v Speaker 3>we should talk to her about hourly earnings. In the

0:06:38.240 --> 0:06:40.200
<v Speaker 3>effect of the Yankees defense, I.

0:06:40.160 --> 0:06:42.520
<v Speaker 9>Mean, and I want to talk about the Yankees, I can't.

0:06:42.600 --> 0:06:44.960
<v Speaker 9>I turned it off at the eighth inning on Monday.

0:06:45.680 --> 0:06:47.800
<v Speaker 9>I turned it off in that last game.

0:06:48.600 --> 0:06:50.080
<v Speaker 8>I was just I was disgusted.

0:06:50.240 --> 0:06:53.400
<v Speaker 4>I choose a third row with Ellen.

0:06:53.440 --> 0:06:55.000
<v Speaker 5>What do you think this Federal Reserve should do with

0:06:55.120 --> 0:06:56.000
<v Speaker 5>data like this?

0:06:56.520 --> 0:06:58.360
<v Speaker 6>Here to any other data we've seen over the last

0:06:58.480 --> 0:07:01.960
<v Speaker 6>several weeks as a get together, next week cut cut?

0:07:02.240 --> 0:07:02.640
<v Speaker 10>Yeah?

0:07:02.680 --> 0:07:03.159
<v Speaker 5>How much?

0:07:03.279 --> 0:07:04.400
<v Speaker 8>Yeah? Twenty five?

0:07:04.480 --> 0:07:09.400
<v Speaker 9>Okay, Yeah, the the the economy's fine. And every time

0:07:09.440 --> 0:07:12.520
<v Speaker 9>we get great data, the market wants to pressure and say, well,

0:07:12.520 --> 0:07:14.760
<v Speaker 9>the Fed doesn't need to do more here, but what

0:07:14.920 --> 0:07:17.880
<v Speaker 9>is cheripalganas stress next week? Yeah, the economy is fine,

0:07:17.880 --> 0:07:20.520
<v Speaker 9>the economy is great, so let's keep it there. Let's

0:07:20.600 --> 0:07:23.120
<v Speaker 9>keep it there. And look, we've got ample room to cut.

0:07:23.160 --> 0:07:24.680
<v Speaker 9>We don't know where neutral is, so we're going to

0:07:24.760 --> 0:07:27.679
<v Speaker 9>baby step it there. I mean, they're in a great position,

0:07:27.760 --> 0:07:30.880
<v Speaker 9>having started the cutting cycle before the election, so they're

0:07:30.880 --> 0:07:34.160
<v Speaker 9>in a great position. If there's some something that impacts

0:07:34.160 --> 0:07:36.480
<v Speaker 9>the outlook for the economy, you can speed up rate

0:07:36.520 --> 0:07:39.560
<v Speaker 9>cuts easily, you can pull rate cuts forward. I'm more

0:07:39.560 --> 0:07:42.840
<v Speaker 9>in the camp of the risk of more than less

0:07:43.200 --> 0:07:43.840
<v Speaker 9>from the Fed.

0:07:44.360 --> 0:07:46.840
<v Speaker 4>We are so thrilled, folks, So this job stay covers.

0:07:46.840 --> 0:07:49.200
<v Speaker 3>You have Claudia sim with wis constant hundred before with

0:07:49.320 --> 0:07:52.080
<v Speaker 3>Eiu and to have doctor Sam with us, and then

0:07:52.160 --> 0:07:55.200
<v Speaker 3>Ellen Zendner Lizaye Saunders is on deck looking at the

0:07:55.200 --> 0:08:00.400
<v Speaker 3>equity market response, particularly out beyond the election, and then

0:08:00.480 --> 0:08:04.240
<v Speaker 3>Ira Jersey will uh show up with us? We don't

0:08:04.280 --> 0:08:06.000
<v Speaker 3>care at all what Irah thinks all we want to

0:08:06.000 --> 0:08:07.240
<v Speaker 3>do is talk about Astonville.

0:08:07.640 --> 0:08:08.360
<v Speaker 8>I thought it was all you.

0:08:08.280 --> 0:08:09.760
<v Speaker 9>Want to do is have a man on the show,

0:08:09.800 --> 0:08:12.360
<v Speaker 9>because it's an all woman This is the all woman warning.

0:08:12.640 --> 0:08:14.640
<v Speaker 4>You know, I don't think there's any you know, we

0:08:14.680 --> 0:08:15.800
<v Speaker 4>didn't do that diversity.

0:08:16.760 --> 0:08:18.800
<v Speaker 8>It's about diversity.

0:08:19.280 --> 0:08:21.520
<v Speaker 4>We it just worked out that way.

0:08:22.440 --> 0:08:24.080
<v Speaker 9>How I would it just so happens all the women

0:08:24.120 --> 0:08:26.000
<v Speaker 9>are the experts. It just worked out that way.

0:08:27.480 --> 0:08:28.240
<v Speaker 4>As tough as.

0:08:28.200 --> 0:08:31.600
<v Speaker 6>Nails, Ellen, How about the consumer here? I mean the

0:08:31.600 --> 0:08:35.560
<v Speaker 6>consumers employed, the consumers getting wage gains, inflation's coming down.

0:08:36.120 --> 0:08:37.880
<v Speaker 5>How do you feel about the US consumer these days?

0:08:38.000 --> 0:08:41.559
<v Speaker 9>I think the used consumers is it's I would say great,

0:08:41.760 --> 0:08:43.400
<v Speaker 9>except that we still have a lot of our eggs

0:08:43.400 --> 0:08:46.200
<v Speaker 9>in one basket. The wealthy consumer is still driving the

0:08:46.200 --> 0:08:50.360
<v Speaker 9>majority of spending. But but like I said, I'm encouraged

0:08:51.440 --> 0:08:55.600
<v Speaker 9>at some of the developments for lower income groups that

0:08:55.640 --> 0:08:59.000
<v Speaker 9>we're continuing to create jobs, wages are growing.

0:08:59.520 --> 0:09:01.200
<v Speaker 4>This is import We're going to stop here, gas price.

0:09:01.200 --> 0:09:02.040
<v Speaker 4>This is really.

0:09:01.800 --> 0:09:04.920
<v Speaker 3>Important, folks. We're going to take the Morgan Stanley continuum

0:09:04.960 --> 0:09:07.560
<v Speaker 3>me here right now, let's take it into death siles

0:09:07.600 --> 0:09:12.320
<v Speaker 3>tenth of economy. The pandemic stereotype is the rich did well,

0:09:12.440 --> 0:09:15.439
<v Speaker 3>no surprise there, and the lower one and two death

0:09:15.480 --> 0:09:18.080
<v Speaker 3>siles were benefited because they were taking care of the rich.

0:09:18.520 --> 0:09:21.920
<v Speaker 3>What does that death sile construction look like into Q

0:09:22.120 --> 0:09:23.679
<v Speaker 3>one twenty twenty.

0:09:23.360 --> 0:09:26.280
<v Speaker 9>Five, so well, the hope is that that the spending

0:09:26.360 --> 0:09:31.840
<v Speaker 9>is diffused more across those death siles. So before COVID,

0:09:32.000 --> 0:09:35.320
<v Speaker 9>the top the top quintiles, so the top two death

0:09:35.320 --> 0:09:39.199
<v Speaker 9>stiles represented about forty percent of consumer spending. That bumped

0:09:39.280 --> 0:09:42.000
<v Speaker 9>up to forty five percent of consumer spending. And it's

0:09:42.040 --> 0:09:42.760
<v Speaker 9>stayed there.

0:09:43.280 --> 0:09:44.079
<v Speaker 4>It's still there.

0:09:44.160 --> 0:09:44.880
<v Speaker 8>It's still there.

0:09:44.960 --> 0:09:47.840
<v Speaker 9>The top two quintiles are more than sixty percent of

0:09:47.880 --> 0:09:50.560
<v Speaker 9>consumer spending. And so what you want to see is

0:09:50.640 --> 0:09:54.680
<v Speaker 9>we start to have some share come back to lower

0:09:54.720 --> 0:09:58.320
<v Speaker 9>income households because they're contributing more broadly to consumers.

0:09:58.320 --> 0:10:00.960
<v Speaker 4>But you haven't seen this yet. Into the election.

0:10:01.520 --> 0:10:04.400
<v Speaker 9>Haven't seen it yet, right, and that's important right into

0:10:04.400 --> 0:10:07.520
<v Speaker 9>the election. Yes, we haven't seen any to interpolate.

0:10:06.880 --> 0:10:10.880
<v Speaker 3>Those death sile analysis to say that the haves have

0:10:11.000 --> 0:10:14.240
<v Speaker 3>a GDP of four or five six percent real GDP

0:10:14.720 --> 0:10:16.439
<v Speaker 3>and the have nots are near recession.

0:10:17.320 --> 0:10:19.240
<v Speaker 9>Well, the have nots have been in recession for a

0:10:19.280 --> 0:10:21.920
<v Speaker 9>couple of years. I would say that they're emerging from that.

0:10:22.640 --> 0:10:29.439
<v Speaker 9>What delayed them moving into recession was that incredible savings

0:10:29.480 --> 0:10:32.680
<v Speaker 9>cushion that they received when we put in all the

0:10:32.679 --> 0:10:35.960
<v Speaker 9>stimulus during COVID. Once they spent through that savings, but

0:10:36.040 --> 0:10:40.040
<v Speaker 9>still we're dealing with extraordinarily high rent inflation, food inflation,

0:10:41.120 --> 0:10:46.520
<v Speaker 9>energy prices inflation, you know that, and wage growth that

0:10:46.679 --> 0:10:50.160
<v Speaker 9>was not outpacing inflation. That's when they were in recession,

0:10:50.480 --> 0:10:53.720
<v Speaker 9>and you could follow companies that cater to them and

0:10:53.800 --> 0:10:56.520
<v Speaker 9>the troubles that they were having. You could see it,

0:10:56.559 --> 0:10:59.280
<v Speaker 9>and the products consumers were buying. It was all being

0:10:59.360 --> 0:11:01.679
<v Speaker 9>supported by wealthy. We don't want to have our eggs

0:11:01.760 --> 0:11:06.320
<v Speaker 9>in one basket, right. We want consumer spending to diffuse more.

0:11:06.120 --> 0:11:07.400
<v Speaker 8>Broadly across households.

0:11:07.400 --> 0:11:11.080
<v Speaker 9>We want all households to participate in the expansion, and

0:11:11.160 --> 0:11:14.520
<v Speaker 9>so we do have some positive developments here. Wages are

0:11:14.559 --> 0:11:17.840
<v Speaker 9>growing on an inflation adjusted basis, the gas prices to

0:11:17.920 --> 0:11:21.160
<v Speaker 9>all of that, right, they've still got very high cost

0:11:21.200 --> 0:11:25.319
<v Speaker 9>of living just in terms of housing costs. As the

0:11:25.360 --> 0:11:28.240
<v Speaker 9>FED cuts rates, you know that the market prices in

0:11:28.320 --> 0:11:32.280
<v Speaker 9>the whole path of Fed cuts immediately. Fed even hints

0:11:32.320 --> 0:11:36.000
<v Speaker 9>at doing something. What doesn't move yet until they actually

0:11:36.040 --> 0:11:38.800
<v Speaker 9>cut rates. Are the rates say that you pay on

0:11:38.880 --> 0:11:41.920
<v Speaker 9>your credit card debt, and it is younger and lower

0:11:41.920 --> 0:11:44.760
<v Speaker 9>income households that revolve a lot of that credit card debt.

0:11:44.960 --> 0:11:47.440
<v Speaker 9>And so as the Fed continues to cut rates, that's

0:11:47.480 --> 0:11:49.920
<v Speaker 9>going to take some pressure off of them as well.

0:11:50.559 --> 0:11:53.800
<v Speaker 3>We're talking Pennsylvania swing steak Gurz out there trying every

0:11:53.840 --> 0:11:59.280
<v Speaker 3>beer today. Have you ever brown trout fished in Pennsylvania?

0:11:59.440 --> 0:12:02.560
<v Speaker 3>Like real, it's like nineteenth century trout fishing.

0:12:02.559 --> 0:12:03.400
<v Speaker 4>Have you ever done that?

0:12:03.920 --> 0:12:06.560
<v Speaker 9>Yeah, that's that's where we go for small stream fishing.

0:12:06.679 --> 0:12:09.599
<v Speaker 9>Small stream and a half foot rod is perfect, a

0:12:09.679 --> 0:12:11.320
<v Speaker 9>flick of the wrist, It's very easy.

0:12:11.360 --> 0:12:12.160
<v Speaker 8>Small streams.

0:12:12.480 --> 0:12:15.200
<v Speaker 9>The brown trouts are fierce there.

0:12:15.880 --> 0:12:16.160
<v Speaker 4>Really.

0:12:16.400 --> 0:12:19.640
<v Speaker 8>Yeah, you're going after out west.

0:12:19.800 --> 0:12:25.480
<v Speaker 9>Yeah, compared to ten inch twelve inch little brown trout.

0:12:25.600 --> 0:12:29.160
<v Speaker 8>Fierce they're fears, fierce fighters.

0:12:29.000 --> 0:12:32.480
<v Speaker 4>Catching release or like we cook in thechen release. You're

0:12:32.520 --> 0:12:34.160
<v Speaker 4>not cooking a cot release.

0:12:34.280 --> 0:12:36.880
<v Speaker 3>You're not cooking up three of them, you know, surf Elzabone.

0:12:36.880 --> 0:12:40.560
<v Speaker 3>Saunders would be charged. She'd have the grill going, yeah, out.

0:12:40.440 --> 0:12:43.199
<v Speaker 9>There doing hey, maybe maybe a brook trout here?

0:12:43.240 --> 0:12:45.800
<v Speaker 4>And where's your secret stream in Pennsylvania? Don't give this

0:12:45.960 --> 0:12:48.640
<v Speaker 4>the name? But what which beer is it?

0:12:48.640 --> 0:12:49.360
<v Speaker 9>It makes no sense.

0:12:49.440 --> 0:12:49.680
<v Speaker 8>Tom.

0:12:49.720 --> 0:12:52.079
<v Speaker 9>You said the word secret. What's your secret stream? And

0:12:52.120 --> 0:12:53.720
<v Speaker 9>it's no longer a secret anymore?

0:12:54.559 --> 0:12:57.840
<v Speaker 4>See Ellen Saner, thank you so much for jobs today.

0:12:57.920 --> 0:13:01.760
<v Speaker 4>Let's move on to someone constructive. Okay, Alen Xander with Burgocilli.

0:13:01.960 --> 0:13:04.640
<v Speaker 3>This is great, Claudius, I'm Ellen Zetner here with your

0:13:04.720 --> 0:13:08.719
<v Speaker 3>job market inequities improve a perfect security into Liz and

0:13:09.000 --> 0:13:10.960
<v Speaker 3>Saunder wouldn't know a brown trout if it hit her

0:13:11.000 --> 0:13:14.439
<v Speaker 3>over the head, Liz Anne, I look at futures up thirty,

0:13:14.880 --> 0:13:18.800
<v Speaker 3>I look at the mag seven hysteria. Liz Anne, I'm

0:13:18.840 --> 0:13:22.079
<v Speaker 3>begging get us into Q one twenty twenty five.

0:13:22.480 --> 0:13:24.480
<v Speaker 4>What is our commitment to equities?

0:13:26.240 --> 0:13:28.960
<v Speaker 10>Well, I do worry a little bit about some some

0:13:29.120 --> 0:13:32.000
<v Speaker 10>froth in the market. Although you've had some weakness that

0:13:32.080 --> 0:13:34.560
<v Speaker 10>might ease a little bit of that even outside of

0:13:34.600 --> 0:13:38.600
<v Speaker 10>traditional investor sentiment measures. You know, the consumer competence report

0:13:38.640 --> 0:13:41.120
<v Speaker 10>that came out, which was better in terms of headline confidence,

0:13:41.160 --> 0:13:44.160
<v Speaker 10>also had a record high percentage of respondent saying they

0:13:44.160 --> 0:13:47.600
<v Speaker 10>thought stock prices would be higher. So you see another

0:13:47.720 --> 0:13:50.800
<v Speaker 10>behavioral data. So as I think between now and the

0:13:50.840 --> 0:13:54.360
<v Speaker 10>first part of twenty twenty five, especially now with twenty

0:13:54.360 --> 0:13:59.200
<v Speaker 10>five estimates coming down for earnings, my biggest concern is

0:13:59.280 --> 0:14:02.920
<v Speaker 10>just that back of a little bit of frauthy sentiment

0:14:02.960 --> 0:14:05.199
<v Speaker 10>all l sequel. I think that means if you get

0:14:05.200 --> 0:14:08.640
<v Speaker 10>any kind of negative catalyst, I don't know that today's

0:14:08.679 --> 0:14:11.000
<v Speaker 10>weaker jobs report would be that because of what in

0:14:11.120 --> 0:14:15.160
<v Speaker 10>first for bed policy. That to me is the background

0:14:15.240 --> 0:14:16.600
<v Speaker 10>risk heatting into twenty twenty five.

0:14:17.240 --> 0:14:19.920
<v Speaker 3>To my essay of the year two years ago, which

0:14:20.000 --> 0:14:23.560
<v Speaker 3>was a brilliant effort by Lawrence MacDonald on the wall

0:14:23.720 --> 0:14:26.880
<v Speaker 3>of money that was out there in twenty twenty two,

0:14:27.360 --> 0:14:30.040
<v Speaker 3>liz Ane Saunders, is there a wall of money still

0:14:30.080 --> 0:14:31.920
<v Speaker 3>out there trying to find a warm place.

0:14:32.840 --> 0:14:35.680
<v Speaker 10>Well, A lot of people point to the six trillion

0:14:35.720 --> 0:14:39.840
<v Speaker 10>plus in my market funds as some wall that could

0:14:39.840 --> 0:14:42.280
<v Speaker 10>come into the equity market. I'm not sure I agree

0:14:42.320 --> 0:14:44.760
<v Speaker 10>with that assessment. I think that a lot of that

0:14:44.840 --> 0:14:47.520
<v Speaker 10>money is pretty sticky. A lot of that money came

0:14:47.520 --> 0:14:51.160
<v Speaker 10>in because of higher yields and out of riskier areas,

0:14:51.200 --> 0:14:53.840
<v Speaker 10>whether it's on the fixed income side of things or

0:14:53.880 --> 0:14:55.800
<v Speaker 10>in the equity side of things. And actually, if you

0:14:55.800 --> 0:15:00.920
<v Speaker 10>look historically at the early part of cutting cycles, money

0:15:00.960 --> 0:15:04.320
<v Speaker 10>actually continues to flow into money market funds, not in

0:15:04.360 --> 0:15:08.560
<v Speaker 10>the opposite direction. So I don't view that as some

0:15:08.840 --> 0:15:11.920
<v Speaker 10>imminent wall of money that could find its way into equities.

0:15:11.960 --> 0:15:14.360
<v Speaker 10>I think that's probably a good chunk of that is

0:15:14.400 --> 0:15:15.080
<v Speaker 10>pretty sticky.

0:15:16.440 --> 0:15:19.360
<v Speaker 6>Luzanne, what are you seeing from earnings so far this quarter?

0:15:19.360 --> 0:15:21.600
<v Speaker 6>We had started off strong with the big banks, We've

0:15:21.640 --> 0:15:24.840
<v Speaker 6>had a bunch of tech earnings. What are you seeing

0:15:24.840 --> 0:15:26.160
<v Speaker 6>and what do you think the market needs to see

0:15:26.160 --> 0:15:26.720
<v Speaker 6>from earnings?

0:15:27.320 --> 0:15:29.640
<v Speaker 10>Well, this is obviously a big week with five of

0:15:29.760 --> 0:15:33.560
<v Speaker 10>Magnificent seven reporting, and in terms of Meta and Microsoft,

0:15:33.880 --> 0:15:36.720
<v Speaker 10>at least a quick glance, they didn't look bad. But

0:15:37.240 --> 0:15:39.520
<v Speaker 10>at the expense side of things, I think it's the

0:15:39.560 --> 0:15:43.280
<v Speaker 10>monetization story that really kicked in in the second quarter.

0:15:43.600 --> 0:15:46.640
<v Speaker 10>I think it's continued in the third quarter. Reporting season,

0:15:46.720 --> 0:15:51.360
<v Speaker 10>which is the vast amount of expenses associated with AI,

0:15:51.560 --> 0:15:55.280
<v Speaker 10>not just among the director indirect AI players, but across

0:15:55.280 --> 0:15:59.480
<v Speaker 10>the spectrum of industries and sectors, and maybe the time

0:15:59.560 --> 0:16:04.200
<v Speaker 10>gap between those investments and the monetization thereof, either from

0:16:04.240 --> 0:16:07.720
<v Speaker 10>a revenue perspective or a productivity perspective. So I think

0:16:07.760 --> 0:16:10.360
<v Speaker 10>we're continuing that theme and it helps to explain some

0:16:10.440 --> 0:16:12.120
<v Speaker 10>of the weakness like yesterday and tech.

0:16:12.400 --> 0:16:15.080
<v Speaker 3>We're going to go CEFA inside baseball. Right now, Lizzie

0:16:15.120 --> 0:16:21.200
<v Speaker 3>and I am apoplectic over this simplistic income statement analysis

0:16:21.320 --> 0:16:22.720
<v Speaker 3>of the financial media.

0:16:23.320 --> 0:16:24.479
<v Speaker 4>You got to pull.

0:16:24.280 --> 0:16:29.440
<v Speaker 3>In profit, distribution of profit, use of cash is the buzzword,

0:16:29.840 --> 0:16:34.320
<v Speaker 3>and even into improved balance sheet dynamics. Are we slaves

0:16:34.400 --> 0:16:38.000
<v Speaker 3>to a simple income statement analysis or do you see

0:16:38.000 --> 0:16:40.640
<v Speaker 3>more out there when you look at free cash flow,

0:16:40.720 --> 0:16:43.160
<v Speaker 3>free cash flow growth and what it means to a

0:16:43.240 --> 0:16:44.440
<v Speaker 3>dominant balance sheet.

0:16:45.400 --> 0:16:47.920
<v Speaker 10>I do see more of that out there, especially as

0:16:47.960 --> 0:16:50.800
<v Speaker 10>you move away from the dominant cap weighted indexes like

0:16:50.840 --> 0:16:52.640
<v Speaker 10>the S and P and the NASDAC and you go

0:16:52.760 --> 0:16:56.040
<v Speaker 10>into some of the smaller cap indexes within say the

0:16:56.120 --> 0:16:58.440
<v Speaker 10>Rustle two thousand. I think that's where you do see

0:16:58.440 --> 0:17:02.440
<v Speaker 10>that factor differentiation that is more acute, whether it's high

0:17:02.480 --> 0:17:05.919
<v Speaker 10>interest coverage versus low interest coverage, or zombie companies versus

0:17:05.960 --> 0:17:09.960
<v Speaker 10>non zombie companies, profitability type factors to your point, Tom,

0:17:10.800 --> 0:17:13.760
<v Speaker 10>high return on equity, strong free cash flow, And as

0:17:13.800 --> 0:17:15.719
<v Speaker 10>you know because we've talked about it a ton on

0:17:15.720 --> 0:17:20.600
<v Speaker 10>this program, is I think that factor orientation, maybe not

0:17:20.800 --> 0:17:24.080
<v Speaker 10>instead of a sector orientation, but as an overlay to

0:17:24.240 --> 0:17:27.320
<v Speaker 10>that sector orientation, I think has been crucial and I

0:17:27.359 --> 0:17:30.920
<v Speaker 10>think will continue to be crucial. There's much more consistency

0:17:31.520 --> 0:17:34.359
<v Speaker 10>in performance at the factor level than there is at

0:17:34.400 --> 0:17:35.160
<v Speaker 10>the sector level.

0:17:35.240 --> 0:17:38.200
<v Speaker 3>Well, you just heard their folks as gospel, liz Ane Saunders.

0:17:38.200 --> 0:17:41.879
<v Speaker 3>What are the factor constructive tone of MAG seven?

0:17:42.119 --> 0:17:44.800
<v Speaker 4>Which factors benefit meg seven?

0:17:45.680 --> 0:17:49.919
<v Speaker 10>Well, they are the most part very strong cash generation companies,

0:17:51.160 --> 0:17:55.520
<v Speaker 10>and not just the MAG seven but the megacap tech

0:17:55.640 --> 0:17:59.119
<v Speaker 10>tech related kind of names. They really took advantage of

0:17:59.240 --> 0:18:03.480
<v Speaker 10>the rate backdrop that preceded the hiking cycle. And in

0:18:03.560 --> 0:18:06.879
<v Speaker 10>most cases, many of these megacap companies are earning more

0:18:06.920 --> 0:18:10.120
<v Speaker 10>interest on their cash and they're paying interest on that.

0:18:10.119 --> 0:18:13.280
<v Speaker 10>They're not at the mercy of where we sit in

0:18:13.320 --> 0:18:15.880
<v Speaker 10>this cycle. The one thing I want to say though

0:18:15.920 --> 0:18:19.080
<v Speaker 10>about the mag seven is the moniker was created when

0:18:19.119 --> 0:18:22.040
<v Speaker 10>those were the seven largest stocks in the S and

0:18:22.040 --> 0:18:24.920
<v Speaker 10>P five hundred. Last year, they were not the seven

0:18:25.000 --> 0:18:28.480
<v Speaker 10>best performing stocks, but they were all very strong performers.

0:18:28.720 --> 0:18:30.960
<v Speaker 10>That's not the case this year. They're not even the

0:18:31.000 --> 0:18:33.879
<v Speaker 10>seven largest stocks anymore. Tessel's not even in the top

0:18:33.920 --> 0:18:36.879
<v Speaker 10>ten anymore. You have to go down to ranking number

0:18:36.880 --> 0:18:38.760
<v Speaker 10>three hundred and fifty three within the S and P

0:18:38.880 --> 0:18:42.800
<v Speaker 10>five hundred to capture all seven of those names. If

0:18:42.800 --> 0:18:45.000
<v Speaker 10>you look at the top ten best performers in the SMP,

0:18:45.320 --> 0:18:47.879
<v Speaker 10>only one of them is in the Magnificent seven, and

0:18:47.880 --> 0:18:50.240
<v Speaker 10>it's not even the best performer. The best performer is

0:18:50.280 --> 0:18:53.480
<v Speaker 10>the utility. So I think we have to change our mindset.

0:18:53.520 --> 0:18:57.280
<v Speaker 10>We get wrapped into these monikers in these groupings, even

0:18:57.320 --> 0:19:00.359
<v Speaker 10>if they fail to represent what they did when the

0:19:00.400 --> 0:19:04.679
<v Speaker 10>idea was first created. Berkshire Hathaway is now number seven.

0:19:04.800 --> 0:19:07.520
<v Speaker 10>I haven't heard anybody suggesting that gets put into the

0:19:07.560 --> 0:19:12.240
<v Speaker 10>MAGS seven. So a broader thinking around market construction.

0:19:13.200 --> 0:19:15.600
<v Speaker 3>Lizen gotta leave it there. We look forward to getting

0:19:15.640 --> 0:19:17.280
<v Speaker 3>you on again soon. Lizzie Saunder.

0:19:17.400 --> 0:19:20.440
<v Speaker 4>Of course at Connick with Charles Schwab.

0:19:25.840 --> 0:19:30.120
<v Speaker 2>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:19:30.200 --> 0:19:33.720
<v Speaker 2>starting at seven am Eastern on Applecarplay and Android Auto

0:19:33.800 --> 0:19:36.680
<v Speaker 2>with the Bloomberg Business app. You can also listen live

0:19:36.760 --> 0:19:39.960
<v Speaker 2>on Amazon Alexa from our flagship New York station Just

0:19:40.040 --> 0:19:43.480
<v Speaker 2>Say Alexa playing Bloomberg eleven thirty Jessica Taylor.

0:19:43.560 --> 0:19:48.240
<v Speaker 3>She is exquisite on Senate Dynamics and she publishes this morning.

0:19:48.560 --> 0:19:50.359
<v Speaker 4>Jessica, thank you so much for joining us.

0:19:50.400 --> 0:19:53.359
<v Speaker 3>Love the cook political report telling people to shut up

0:19:53.359 --> 0:19:56.840
<v Speaker 3>and subscribe. At the bottom of your note, you've got

0:19:56.840 --> 0:20:00.800
<v Speaker 3>a bar chart of money made, money earned, money coming

0:20:00.840 --> 0:20:05.560
<v Speaker 3>in versus vote. What's a correlation of money coming in

0:20:05.680 --> 0:20:10.280
<v Speaker 3>Nebraska Osborne and Fisher? What's a correlation of money coming

0:20:10.320 --> 0:20:12.320
<v Speaker 3>in to electoral outcome?

0:20:13.359 --> 0:20:13.479
<v Speaker 6>Well?

0:20:13.520 --> 0:20:15.520
<v Speaker 11>I think that when you have a state like Nebraska,

0:20:15.560 --> 0:20:19.159
<v Speaker 11>this very Republican, and you have Dan Osborne, who's an independent,

0:20:19.240 --> 0:20:21.520
<v Speaker 11>trying to stress that he's not a Democrat, even though

0:20:21.520 --> 0:20:23.400
<v Speaker 11>a lot of the outside money coming in to help

0:20:23.480 --> 0:20:27.320
<v Speaker 11>him is from outside democratic groups. He's been able to

0:20:27.320 --> 0:20:29.640
<v Speaker 11>control the airwaves and set the narrative. We even see

0:20:29.640 --> 0:20:31.879
<v Speaker 11>his latest ads running against deb Fisher there in a

0:20:31.920 --> 0:20:35.080
<v Speaker 11>state that Trump won by twenty points. Making an out

0:20:35.119 --> 0:20:38.000
<v Speaker 11>overt appeal to Trump voters. You know, he's the most

0:20:38.119 --> 0:20:40.479
<v Speaker 11>unique candidate of this cycle. And the Nebraska I did

0:20:40.480 --> 0:20:43.560
<v Speaker 11>not expect on November first to be talking about Nebraska

0:20:43.600 --> 0:20:46.320
<v Speaker 11>at all. You know, he's underscoring his blue collar roots.

0:20:46.320 --> 0:20:48.440
<v Speaker 11>You know, he says that actually, for him, the one hundred

0:20:48.440 --> 0:20:50.800
<v Speaker 11>and seventy four thousand dollars the salary of a senator

0:20:50.800 --> 0:20:52.600
<v Speaker 11>would be a pay race. So I think that's breaking

0:20:52.600 --> 0:20:54.399
<v Speaker 11>through with a lot of people when we look at

0:20:54.440 --> 0:20:57.159
<v Speaker 11>where the economy everything is, so no one would know

0:20:57.200 --> 0:20:59.040
<v Speaker 11>who he is if he was not able to get

0:20:59.040 --> 0:21:00.840
<v Speaker 11>this money and to get his name out there.

0:21:00.880 --> 0:21:02.680
<v Speaker 3>With your Senate focus, I want to get you into

0:21:02.720 --> 0:21:06.520
<v Speaker 3>the Amy Walter timeout chare. With your Senate focus, can

0:21:06.560 --> 0:21:10.600
<v Speaker 3>you frame out probability of a Republican Trump sweep.

0:21:12.600 --> 0:21:14.600
<v Speaker 11>I mean, I think that if there is going to

0:21:14.600 --> 0:21:16.600
<v Speaker 11>be a trifecta, it will be a Republican one. And

0:21:16.640 --> 0:21:20.280
<v Speaker 11>that's simply because the Senate is overwhelmingly favored to go

0:21:20.320 --> 0:21:25.000
<v Speaker 11>to Republicans. My final Senate analysis is publishing maybe momentarily

0:21:25.040 --> 0:21:25.840
<v Speaker 11>on our website.

0:21:25.920 --> 0:21:28.000
<v Speaker 4>I see it. It's out, Oh, it is up.

0:21:28.040 --> 0:21:31.119
<v Speaker 11>Okay, we predict that Republicans will pick up two to

0:21:31.160 --> 0:21:33.480
<v Speaker 11>five seats, which gives them a majority of anywhere between

0:21:33.520 --> 0:21:35.920
<v Speaker 11>fifty one and fifty four seats. You know, we came

0:21:35.960 --> 0:21:40.040
<v Speaker 11>into this cycle with Democrats having to depend twenty three

0:21:40.080 --> 0:21:43.440
<v Speaker 11>seats to just eleven for Republicans. Republicans are going to

0:21:43.440 --> 0:21:46.159
<v Speaker 11>pick up West Virginia. We know that they're favorite in

0:21:46.280 --> 0:21:49.359
<v Speaker 11>Montana over Democratic Senator Shared Brown, and that gives them

0:21:49.400 --> 0:21:51.479
<v Speaker 11>to fifty one. So it just means that, you know,

0:21:51.560 --> 0:21:53.800
<v Speaker 11>do they add Ohio where the race is neck and

0:21:53.880 --> 0:21:57.000
<v Speaker 11>neck Shared Brown could defy the odds. And when they're

0:21:57.040 --> 0:21:59.480
<v Speaker 11>even in a state that Trump carried twice by eight points,

0:21:59.560 --> 0:22:04.080
<v Speaker 11>those other Blue Wall states Michigan, Wisconsin, and Pennsylvania all

0:22:04.119 --> 0:22:05.879
<v Speaker 11>remain very close in toss ups.

0:22:06.160 --> 0:22:07.360
<v Speaker 5>So I just have a.

0:22:07.280 --> 0:22:11.080
<v Speaker 11>Hard time seeing, you know, they Democrats need to float Nebraska.

0:22:11.400 --> 0:22:13.520
<v Speaker 11>But even though you know, Osborne says you Wood and

0:22:13.560 --> 0:22:16.240
<v Speaker 11>Caucus with Democrats, Texas is the one. So there's just

0:22:16.359 --> 0:22:18.919
<v Speaker 11>far more paths for Republicans. And then I think that

0:22:19.000 --> 0:22:22.800
<v Speaker 11>if we're seeing Republicans win in Wisconsin, Pennsylvania, and Michigan

0:22:22.800 --> 0:22:25.640
<v Speaker 11>Senate races, that means that Trump has won those probably,

0:22:25.960 --> 0:22:28.439
<v Speaker 11>so that means that he's won the presidency, and I

0:22:28.440 --> 0:22:31.200
<v Speaker 11>think also, you know, the House is very narrow. It's

0:22:31.240 --> 0:22:33.400
<v Speaker 11>a true toss up, but I think that probably as

0:22:33.400 --> 0:22:36.320
<v Speaker 11>the presidency goes, as the House goes. So just because

0:22:36.320 --> 0:22:38.600
<v Speaker 11>of the way the Senate math is, I have a

0:22:38.600 --> 0:22:42.919
<v Speaker 11>hard time seeing Democrats winning the majority, and so that

0:22:42.920 --> 0:22:44.400
<v Speaker 11>would preclude them from a TRIFACTA.

0:22:44.480 --> 0:22:47.840
<v Speaker 6>I think, how about the House, Jessica, what racist should

0:22:47.880 --> 0:22:49.880
<v Speaker 6>we be looking at for the House of Representatives?

0:22:51.040 --> 0:22:53.800
<v Speaker 11>Yeah, so New York and California feature some of the

0:22:53.840 --> 0:22:56.639
<v Speaker 11>top races, and you know those are not presidential battlegrounds,

0:22:56.640 --> 0:22:59.240
<v Speaker 11>but Democrats suffered from lower turnout in the midterms. They're

0:22:59.280 --> 0:23:01.719
<v Speaker 11>hoping that higher residential turnout helps them. And there are

0:23:01.760 --> 0:23:05.640
<v Speaker 11>some races that we've you know, moved toward Democrats in California,

0:23:06.160 --> 0:23:08.560
<v Speaker 11>but some Republicans are still hanging on there, sort of

0:23:08.640 --> 0:23:11.600
<v Speaker 11>running ahead of where Trump is in those states. There's

0:23:11.640 --> 0:23:14.959
<v Speaker 11>a couple of open seats in Michigan seventh District, for instance,

0:23:15.040 --> 0:23:17.880
<v Speaker 11>the open seat that Alissa Slockin is leaving to run

0:23:17.920 --> 0:23:20.480
<v Speaker 11>for Senate, and Tom Barrett has been has been raising

0:23:20.480 --> 0:23:23.239
<v Speaker 11>a lot of money, you know, even though Democrats are

0:23:23.240 --> 0:23:26.160
<v Speaker 11>spending heavily there. We see that race as slightly favoring him.

0:23:26.160 --> 0:23:28.240
<v Speaker 11>And then you know, if you're looking for early seats

0:23:28.240 --> 0:23:30.160
<v Speaker 11>on election, I see how they go. There's a couple

0:23:30.160 --> 0:23:33.919
<v Speaker 11>in Virginia, Virginia second and Virginia seventh district that are

0:23:33.960 --> 0:23:36.440
<v Speaker 11>also very tight that could give us an early indication

0:23:36.520 --> 0:23:37.560
<v Speaker 11>of how the House is going.

0:23:38.040 --> 0:23:41.920
<v Speaker 3>Charlie Cook has an absolutely brilliant essay here folks out

0:23:41.920 --> 0:23:44.679
<v Speaker 3>in the last couple of days on the lack of

0:23:44.800 --> 0:23:47.159
<v Speaker 3>land slides like we used to have a dearth of

0:23:47.240 --> 0:23:50.800
<v Speaker 3>land slides. He goes into, you know, item by item,

0:23:50.840 --> 0:23:52.520
<v Speaker 3>the closeness.

0:23:51.760 --> 0:23:53.200
<v Speaker 4>Of these races over.

0:23:53.000 --> 0:23:56.320
<v Speaker 3>The years, and as you know, Jessica, Charlie goes to

0:23:56.359 --> 0:24:00.960
<v Speaker 3>the surprises. What's your biggest potential set the surprise.

0:24:02.119 --> 0:24:07.159
<v Speaker 11>I think it's Texas CRUs Yeah, I mean Democrats have

0:24:07.280 --> 0:24:10.800
<v Speaker 11>pulling that shows this race hide other public polling does not.

0:24:10.920 --> 0:24:12.560
<v Speaker 11>I still think those like you know, Cruse had a

0:24:12.640 --> 0:24:15.320
<v Speaker 11>very close race in twenty eighteen. He actually very much

0:24:15.359 --> 0:24:18.560
<v Speaker 11>benefited from it being a midterm year where the Republican

0:24:18.600 --> 0:24:22.040
<v Speaker 11>governor Greg Abbott had a far better turnout machine. I

0:24:22.040 --> 0:24:25.359
<v Speaker 11>think that Cruz is very vulnerable on abortion. You know,

0:24:25.480 --> 0:24:28.320
<v Speaker 11>we saw Harris go there last week to sort of

0:24:28.359 --> 0:24:31.840
<v Speaker 11>emphasize the state's very stringent abortion laws. In fact, you know,

0:24:31.920 --> 0:24:34.280
<v Speaker 11>while other states are able to have referendums to overturn

0:24:34.359 --> 0:24:36.919
<v Speaker 11>the Texas does not allow that. And you know, just

0:24:36.960 --> 0:24:39.000
<v Speaker 11>this week there was the story of a woman who

0:24:39.119 --> 0:24:42.000
<v Speaker 11>was denied care after a miscarriage and she died. So

0:24:42.359 --> 0:24:45.200
<v Speaker 11>I think those are very much in focus right now.

0:24:45.600 --> 0:24:47.639
<v Speaker 11>And this is what I you know, if Democrats have

0:24:47.680 --> 0:24:50.080
<v Speaker 11>a better night than expected, I think it probably has

0:24:50.080 --> 0:24:51.840
<v Speaker 11>to do with it. You know, I'm cognizant of the

0:24:51.840 --> 0:24:55.119
<v Speaker 11>fact that in twenty twenty two the polling actually underestimated Democrats.

0:24:55.600 --> 0:24:59.120
<v Speaker 11>And if Democrats have a better night overall, if Harris does,

0:24:59.280 --> 0:25:01.919
<v Speaker 11>if some one like Colin Allread in Texas does, I

0:25:01.920 --> 0:25:05.000
<v Speaker 11>think it's because the potency of abortion and the Dobbs

0:25:05.000 --> 0:25:09.520
<v Speaker 11>issue after Roefel is still very powerful and is driving

0:25:09.560 --> 0:25:11.639
<v Speaker 11>a lot of voters, particularly female voters.

0:25:11.760 --> 0:25:14.159
<v Speaker 3>Jessica Taylor, thank you so much for quok political report

0:25:14.400 --> 0:25:16.719
<v Speaker 3>her focus on the US Senate.

0:25:22.800 --> 0:25:27.080
<v Speaker 2>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:25:27.160 --> 0:25:30.680
<v Speaker 2>starting at seven am Eastern on applecar Play and Android Auto.

0:25:30.760 --> 0:25:32.240
<v Speaker 4>With the Bloomberg Business app.

0:25:32.320 --> 0:25:35.679
<v Speaker 2>You can also watch US live every weekday on YouTube

0:25:35.800 --> 0:25:38.119
<v Speaker 2>and always on the Bloomberg Terminal tier.

0:25:38.040 --> 0:25:41.760
<v Speaker 3>And our I call be on the Sikorski out west

0:25:41.760 --> 0:25:46.120
<v Speaker 3>of Pittsburgh, I might say towards Indiana. University of Pennsylvania.

0:25:46.200 --> 0:25:49.560
<v Speaker 3>David Gurra joins US now off of Wisconsin. He's the

0:25:49.600 --> 0:25:51.840
<v Speaker 3>one who said to me times shut up. It's Arizona

0:25:51.880 --> 0:25:55.159
<v Speaker 3>that matters. But now there'll be the trek east for

0:25:55.320 --> 0:26:00.000
<v Speaker 3>David Gurra. He will end up Paul Election night, sixteenth Street, Philadelphia.

0:26:00.600 --> 0:26:04.159
<v Speaker 4>Monk's Cafe is this is They.

0:26:04.000 --> 0:26:07.520
<v Speaker 3>Serve four hundred beers including Iron City Beer, and David

0:26:07.520 --> 0:26:08.720
<v Speaker 3>Girl will be there.

0:26:08.800 --> 0:26:10.320
<v Speaker 4>I want to go to Connor Lamb.

0:26:10.520 --> 0:26:16.719
<v Speaker 3>Okay, conservative Democrat ran against Fetterman, lost out in the

0:26:16.760 --> 0:26:21.200
<v Speaker 3>wilderness now of democratic politics. What is Connor Lamb's best

0:26:21.240 --> 0:26:23.400
<v Speaker 3>outcome in Pennsylvania Tuesday night.

0:26:23.960 --> 0:26:25.439
<v Speaker 1>That's a great question. I mean, I think this is

0:26:25.440 --> 0:26:28.080
<v Speaker 1>going to be another tight race. And you know, I,

0:26:28.680 --> 0:26:30.840
<v Speaker 1>as you say, just came back from Wisconsin where the

0:26:30.840 --> 0:26:33.000
<v Speaker 1>candidate whom I was following there, Tammy Baldwin, was talking

0:26:33.000 --> 0:26:34.760
<v Speaker 1>about how she's in a fifty to fifty race. It's

0:26:34.800 --> 0:26:36.320
<v Speaker 1>on a razor's edge. We've been talking about this as

0:26:36.359 --> 0:26:38.800
<v Speaker 1>it's manifested itself in the polls over these last many months.

0:26:38.840 --> 0:26:41.639
<v Speaker 1>But these candidates are living it and this has been

0:26:41.680 --> 0:26:44.560
<v Speaker 1>a long slog for them. But nobody's taking anything for

0:26:44.600 --> 0:26:46.600
<v Speaker 1>granted here, I think in these final few days, and

0:26:46.680 --> 0:26:48.080
<v Speaker 1>something bastood out to me as I was there on

0:26:48.119 --> 0:26:51.520
<v Speaker 1>the campaign trailers. The attitude is every vote matters. And

0:26:51.520 --> 0:26:54.200
<v Speaker 1>we've talked a lot about these kind of mythic undecided voters.

0:26:54.480 --> 0:26:56.840
<v Speaker 1>That's not who these folks are focusing on now. It's

0:26:56.880 --> 0:26:59.040
<v Speaker 1>getting people who have voted in the past but might

0:26:59.080 --> 0:27:01.159
<v Speaker 1>not have last time or the time before that, to

0:27:01.240 --> 0:27:03.560
<v Speaker 1>recognize that it's important to get out there, mail that

0:27:03.600 --> 0:27:05.439
<v Speaker 1>ballot in or go to the polls in person.

0:27:05.520 --> 0:27:07.880
<v Speaker 3>I mean, I put boxes of Amazon outside my door

0:27:07.960 --> 0:27:10.120
<v Speaker 3>last night so the kids wouldn't trick or treat there.

0:27:10.400 --> 0:27:13.720
<v Speaker 4>I mean, Paul, And that's how antisocial I am. David

0:27:13.800 --> 0:27:16.840
<v Speaker 4>Gerd is knocking on doors matter anymore?

0:27:17.200 --> 0:27:17.399
<v Speaker 11>You know?

0:27:17.440 --> 0:27:20.600
<v Speaker 1>I talked to a number of Tammy Baldwin supporters, some

0:27:20.640 --> 0:27:22.359
<v Speaker 1>of whom are in unions. They're being organized by their

0:27:22.440 --> 0:27:24.120
<v Speaker 1>unions to go out. Maybe not even live in Wisconsin,

0:27:24.160 --> 0:27:26.800
<v Speaker 1>they live in Minnesota, or they live in Illinois and

0:27:27.440 --> 0:27:29.800
<v Speaker 1>the strategy has changed. It's not just kind of randomly

0:27:29.880 --> 0:27:32.600
<v Speaker 1>knocking on doors. They're being targeted, you know, go to

0:27:32.640 --> 0:27:35.600
<v Speaker 1>this Democrats house, go to this person who has voted

0:27:35.600 --> 0:27:36.960
<v Speaker 1>for us in the past and might do it again.

0:27:37.080 --> 0:27:39.080
<v Speaker 1>They're not doing the kind of cold knocking where it's

0:27:39.080 --> 0:27:40.600
<v Speaker 1>going to be a Trump supporter who's going to show

0:27:40.600 --> 0:27:43.360
<v Speaker 1>them off their front law. And they're really again trying

0:27:43.359 --> 0:27:45.160
<v Speaker 1>to get those who are been committed in the past

0:27:45.160 --> 0:27:48.560
<v Speaker 1>and might be but yes, and what the refrain was

0:27:48.640 --> 0:27:51.440
<v Speaker 1>is explain why you're doing it, why this election is important,

0:27:51.640 --> 0:27:53.760
<v Speaker 1>and seal the deal at the end. Try to get

0:27:53.800 --> 0:27:55.680
<v Speaker 1>that person to say, you know what, great to talk

0:27:55.720 --> 0:27:57.359
<v Speaker 1>to you. I'm going to show up at the polling

0:27:57.359 --> 0:27:58.080
<v Speaker 1>place on Tuesday.

0:27:58.119 --> 0:28:00.080
<v Speaker 4>How touch you feeling, Paula. They knocked on you.

0:28:00.520 --> 0:28:02.960
<v Speaker 6>I havn't knocked on my door, thankfully. They're welcome to

0:28:03.000 --> 0:28:06.800
<v Speaker 6>the Jersey Shore anytime. David, if it is a real

0:28:06.880 --> 0:28:09.080
<v Speaker 6>story to get the vote out, is there a feeling

0:28:09.119 --> 0:28:11.880
<v Speaker 6>when you were in Wisconsin or that maybe one side

0:28:11.920 --> 0:28:13.880
<v Speaker 6>is doing a better job than the other, has got

0:28:13.880 --> 0:28:15.840
<v Speaker 6>a better on the ground apparatus.

0:28:15.880 --> 0:28:18.879
<v Speaker 1>We know more detail about how the Democrats, how the

0:28:18.880 --> 0:28:21.679
<v Speaker 1>Harris campaign is approaching this. They're very forthright about how

0:28:21.720 --> 0:28:23.600
<v Speaker 1>much money they have and how they're deploying that across

0:28:23.680 --> 0:28:26.919
<v Speaker 1>the country. But the Trump campaign, in its memo to

0:28:26.960 --> 0:28:29.119
<v Speaker 1>interested parties, as they put it, say that they have

0:28:29.160 --> 0:28:31.400
<v Speaker 1>a very strong ground game. They're confident in how that's

0:28:31.400 --> 0:28:33.480
<v Speaker 1>going to play out here over these these next few days.

0:28:33.480 --> 0:28:36.040
<v Speaker 1>But when you look at the sheer number of people

0:28:36.040 --> 0:28:38.160
<v Speaker 1>who are out there on the pay role, it is

0:28:38.200 --> 0:28:40.160
<v Speaker 1>the Harris campaign that has the edge. And you see

0:28:40.160 --> 0:28:41.960
<v Speaker 1>that just in the way that the candidates are approaching

0:28:41.960 --> 0:28:44.800
<v Speaker 1>this race. Yes, Kamala Harris is doing big events. Donald

0:28:44.840 --> 0:28:46.360
<v Speaker 1>Trump is doing big events, but I think it's safe

0:28:46.400 --> 0:28:48.480
<v Speaker 1>to say he is relying more on the spectacle and

0:28:48.560 --> 0:28:51.560
<v Speaker 1>celebrity of these big, big arena events than she is.

0:28:51.760 --> 0:28:53.840
<v Speaker 1>Thinking that's going to trickle down to voters and get

0:28:53.880 --> 0:28:54.440
<v Speaker 1>them animated.

0:28:54.640 --> 0:28:57.440
<v Speaker 6>You know, David, as you know, all the experts are

0:28:57.480 --> 0:28:59.719
<v Speaker 6>telling us this is a toss up here. Just when

0:28:59.720 --> 0:29:02.280
<v Speaker 6>you're on the streets in Wisconsin, does.

0:29:02.120 --> 0:29:03.960
<v Speaker 5>It feel like a toss up? Does it feel that tight?

0:29:04.120 --> 0:29:06.840
<v Speaker 1>Yes, it feels extremely tight. You hear that from the candidates,

0:29:06.840 --> 0:29:08.280
<v Speaker 1>you hear that from those who are organizing for them.

0:29:08.320 --> 0:29:10.360
<v Speaker 1>You hear they're from the voters themselves, who are fatigued,

0:29:10.600 --> 0:29:12.640
<v Speaker 1>tired of all the ads that are everywhere, the ads

0:29:12.680 --> 0:29:14.760
<v Speaker 1>that are on TV, the ads that they're seeing on

0:29:14.800 --> 0:29:15.920
<v Speaker 1>the side of the road as well. I mean every

0:29:15.960 --> 0:29:18.280
<v Speaker 1>other billboard is a political ad, either from the candidates

0:29:18.360 --> 0:29:21.160
<v Speaker 1>or one of those political groups. So they're inundated by it.

0:29:21.600 --> 0:29:24.240
<v Speaker 1>But there is this broad recognition that in that state,

0:29:24.240 --> 0:29:27.360
<v Speaker 1>in particularly Wisconsin, but also Pennsylvania, things have changed, the

0:29:27.440 --> 0:29:29.840
<v Speaker 1>terrain has shifted. It's a closer race than it has.

0:29:29.720 --> 0:29:30.080
<v Speaker 4>Been the day.

0:29:30.120 --> 0:29:33.440
<v Speaker 3>David Charlie Cook right in a gorgeous essay here like

0:29:33.520 --> 0:29:35.880
<v Speaker 3>two days ago as well. He talks about the lack

0:29:35.920 --> 0:29:39.400
<v Speaker 3>of landslides, and then he's got a fifteen line paragraph

0:29:39.960 --> 0:29:44.120
<v Speaker 3>going from Bush Gore all the way through to Trump

0:29:44.200 --> 0:29:48.160
<v Speaker 3>twenty sixteen, then on the jee Biden, and he's talking

0:29:48.200 --> 0:29:53.480
<v Speaker 3>about the narrowness, the reality of the narrowness. So, Pennsylvania,

0:29:53.640 --> 0:29:55.360
<v Speaker 3>is it going to be ten thousand votes?

0:29:55.800 --> 0:29:57.520
<v Speaker 1>I think it's going to be extremely close. And I

0:29:57.560 --> 0:29:59.520
<v Speaker 1>know that there are some skeptics who say maybe the

0:29:59.520 --> 0:30:01.920
<v Speaker 1>polling is wrong or there's something about it that's not

0:30:02.000 --> 0:30:03.960
<v Speaker 1>quite right. It's going to be a wider margin. Yet

0:30:04.400 --> 0:30:06.240
<v Speaker 1>what we do have in Pennsylvania. Which is interesting is

0:30:06.280 --> 0:30:11.120
<v Speaker 1>some visibility into these early votes. You know who the

0:30:11.160 --> 0:30:13.600
<v Speaker 1>state sent them out to and what parties they're affiliated with,

0:30:13.640 --> 0:30:15.680
<v Speaker 1>and which have come back, and so you see Democrats

0:30:15.720 --> 0:30:18.400
<v Speaker 1>having an edge there. Fascinating the story this morning, We've

0:30:18.440 --> 0:30:20.200
<v Speaker 1>covered it, The Washington Post is covering at New York

0:30:20.240 --> 0:30:22.200
<v Speaker 1>Times covering it this morning as well, is the role

0:30:22.280 --> 0:30:25.480
<v Speaker 1>of white women in the country broadly, and in Pennsylvania

0:30:25.520 --> 0:30:30.120
<v Speaker 1>in particular. It's a real difficulty for Democrats to claim

0:30:30.160 --> 0:30:32.120
<v Speaker 1>them as supporters. And we look at the last election,

0:30:32.640 --> 0:30:34.760
<v Speaker 1>Trump had them by a margin there. You look at

0:30:34.760 --> 0:30:36.760
<v Speaker 1>the one before that, Hillary Clinton was the candidate and

0:30:36.800 --> 0:30:39.960
<v Speaker 1>still wasn't able to secure them to the extent that

0:30:39.960 --> 0:30:42.920
<v Speaker 1>Democrats wanted them and needed them to do. So that

0:30:43.040 --> 0:30:45.400
<v Speaker 1>is a big push for the Harris campaign for Democrats

0:30:45.400 --> 0:30:47.720
<v Speaker 1>now is to go after that thirty percent of the electorate,

0:30:47.760 --> 0:30:51.040
<v Speaker 1>which is frankly a party electorate who does show up

0:30:51.080 --> 0:30:52.760
<v Speaker 1>on election day, does get to the polls.

0:30:53.320 --> 0:30:55.000
<v Speaker 5>Do we know who the undecideds are?

0:30:55.000 --> 0:30:57.600
<v Speaker 6>Like when you're on the streets in Wisconsin, does somebody

0:30:57.600 --> 0:30:58.640
<v Speaker 6>have a sign around their next.

0:31:01.320 --> 0:31:03.920
<v Speaker 1>They're ordering the spotted cow at the bar and Yeah, No,

0:31:03.960 --> 0:31:06.000
<v Speaker 1>I mean, I think that we have some vague sense

0:31:06.040 --> 0:31:07.280
<v Speaker 1>of who they are, but I think that they're a

0:31:07.320 --> 0:31:09.160
<v Speaker 1>rarer bird, and we've been led to believe, you know,

0:31:09.160 --> 0:31:11.200
<v Speaker 1>I think that again for many months, that's who we

0:31:11.240 --> 0:31:14.480
<v Speaker 1>thought these campaigns were targeting. At this point in the game,

0:31:14.600 --> 0:31:16.080
<v Speaker 1>I don't think that. I don't think they've given up

0:31:16.080 --> 0:31:17.720
<v Speaker 1>on them, of course, but I think that there is

0:31:18.600 --> 0:31:21.360
<v Speaker 1>just such strange mystique around what may be motivating somebody

0:31:21.400 --> 0:31:22.760
<v Speaker 1>like that to sit on the sidelines. As long as

0:31:22.760 --> 0:31:24.120
<v Speaker 1>they have that now, it's like that's not where they're

0:31:24.120 --> 0:31:24.640
<v Speaker 1>placing their rest.

0:31:24.680 --> 0:31:28.200
<v Speaker 3>So do you anticipate at eleven o'clock at night you're

0:31:28.240 --> 0:31:32.640
<v Speaker 3>gonna be on either your dogfish Head Rodenbach Crimson Crew,

0:31:33.800 --> 0:31:36.680
<v Speaker 3>or you're gonna be looking at your Crooked Stave member

0:31:36.800 --> 0:31:39.480
<v Speaker 3>Barry Sierra twenty sixteen beer.

0:31:39.320 --> 0:31:40.760
<v Speaker 5>I need Thomas my Ama.

0:31:41.800 --> 0:31:44.200
<v Speaker 4>You're gonna be on with AMH at eleven pm. And

0:31:44.240 --> 0:31:45.240
<v Speaker 4>they don't have a clue.

0:31:45.320 --> 0:31:47.440
<v Speaker 1>Right, Well, Look, I've been in touch with all of

0:31:47.440 --> 0:31:50.040
<v Speaker 1>these election offices across Pennsylvania, say what's the plan gonna be?

0:31:50.600 --> 0:31:52.920
<v Speaker 1>Most of them have these online dashboards and they say

0:31:52.920 --> 0:31:55.720
<v Speaker 1>come nine o'clock Eastern time, Wall Street Time. For those

0:31:55.720 --> 0:31:59.000
<v Speaker 1>in the audience, they're gonna begin putting those unofficial results up,

0:31:59.280 --> 0:32:01.320
<v Speaker 1>we might have a good sense of where things are

0:32:01.360 --> 0:32:05.240
<v Speaker 1>headed directionally. That evening they're not going to call my

0:32:05.280 --> 0:32:06.840
<v Speaker 1>bed is, they're not going to call that race for

0:32:06.960 --> 0:32:10.040
<v Speaker 1>several days. Officially, there's going to be a lot of uh,

0:32:10.120 --> 0:32:12.719
<v Speaker 1>you know, very very specific counting of votes, and then

0:32:12.720 --> 0:32:14.520
<v Speaker 1>I think there is the spectrum sort of legal action

0:32:14.600 --> 0:32:16.320
<v Speaker 1>that might come in in the days that follow them.

0:32:16.400 --> 0:32:21.400
<v Speaker 3>Twelve dollars chicken, liver, moose with pickled mustard seeds, house

0:32:21.480 --> 0:32:22.480
<v Speaker 3>made jam, and a.

0:32:22.440 --> 0:32:23.800
<v Speaker 4>Beer of your choice.

0:32:23.520 --> 0:32:23.760
<v Speaker 3>Nice.

0:32:24.160 --> 0:32:27.760
<v Speaker 1>I mean that's I did have a butterburger in Wisconsin

0:32:27.800 --> 0:32:30.280
<v Speaker 1>and some cheese curds at Culvers. What is a butter

0:32:30.520 --> 0:32:34.240
<v Speaker 1>butterburger is a Culver's tradition. It is a buttered white

0:32:34.280 --> 0:32:35.200
<v Speaker 1>bread bun.

0:32:36.000 --> 0:32:36.680
<v Speaker 5>With the burger.

0:32:37.240 --> 0:32:38.800
<v Speaker 1>I was told to get it. It was it was

0:32:40.120 --> 0:32:45.960
<v Speaker 1>you survived, slaked my hunger. I survived.

0:32:45.600 --> 0:32:52.880
<v Speaker 6>He wasn't meats and exactly in Rome, cheese steaks in Philly.

0:32:52.960 --> 0:32:57.680
<v Speaker 1>Travel seriously, yeah, down to Philadelphia and we're going to

0:32:57.720 --> 0:32:59.960
<v Speaker 1>spend Monday and Tuesday in those you know, fabled suburbs

0:33:00.200 --> 0:33:00.600
<v Speaker 1>County in.

0:33:00.520 --> 0:33:03.680
<v Speaker 4>The lot fifteen seconds. Six weeks ago you said Arizona matters,

0:33:03.720 --> 0:33:04.720
<v Speaker 4>still matters.

0:33:04.560 --> 0:33:06.480
<v Speaker 1>Still matters. But now I you know, I have to

0:33:06.480 --> 0:33:08.960
<v Speaker 1>say selfishly, Pennsylvania's the state to watch.

0:33:09.760 --> 0:33:10.440
<v Speaker 5>I'll be watching it.

0:33:10.720 --> 0:33:15.400
<v Speaker 3>Look for David Monk's cafe Philadelphia election. Now probably you know,

0:33:15.480 --> 0:33:16.600
<v Speaker 3>I assume Borro.

0:33:16.560 --> 0:33:17.080
<v Speaker 4>Will go down.

0:33:17.120 --> 0:33:18.680
<v Speaker 1>I can put it on your card right tw of course,

0:33:18.720 --> 0:33:20.120
<v Speaker 1>now it's on HTTO rheto keep for.

0:33:20.240 --> 0:33:23.840
<v Speaker 3>DMX is in charge of all amongst cafe that receipts.

0:33:24.080 --> 0:33:28.520
<v Speaker 2>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:33:28.680 --> 0:33:32.320
<v Speaker 2>and anywhere else you get your podcasts. Listen live each

0:33:32.360 --> 0:33:35.800
<v Speaker 2>weekday seven to ten am Eastern on Bloomberg dot com,

0:33:35.920 --> 0:33:39.480
<v Speaker 2>the iHeartRadio app, tune In, and the Bloomberg Business app.

0:33:39.760 --> 0:33:42.840
<v Speaker 2>You can also watch us live every weekday on YouTube

0:33:43.120 --> 0:33:44.920
<v Speaker 2>and always on the Bloomberg terminal.