WEBVTT - Using Data to Create a Safe Back-to-School Plan

0:00:00.720 --> 0:00:03.720
<v Speaker 1>This is Bloomberg Business Week. I'm Carol Masser and I'm

0:00:03.800 --> 0:00:06.320
<v Speaker 1>Jason Kelly. We're right here every day bringing you the

0:00:06.400 --> 0:00:11.160
<v Speaker 1>latest news from the world's of business and finance, plus technology, politics, economics,

0:00:11.240 --> 0:00:14.280
<v Speaker 1>all harnessing the power of Business Week reporters and editors,

0:00:14.440 --> 0:00:16.439
<v Speaker 1>and of course Carol that's part of a team of

0:00:16.520 --> 0:00:20.439
<v Speaker 1>twenty seven hundred journalists and analysts more than a hundred

0:00:20.480 --> 0:00:23.280
<v Speaker 1>and twenty countries and Jason. You can download Bloomberg Business

0:00:23.280 --> 0:00:26.239
<v Speaker 1>Week on iTunes, SoundCloud, bl Bloomberg dot com. You can

0:00:26.280 --> 0:00:28.640
<v Speaker 1>also listen to our radio show at two pm Eastern

0:00:28.680 --> 0:00:31.560
<v Speaker 1>on Bloomberg Radio every weekday, or watch us on YouTube

0:00:31.600 --> 0:00:37.200
<v Speaker 1>by searching Bloomberg Global News. Well, another week of so

0:00:37.479 --> 0:00:41.879
<v Speaker 1>many headlines related to the virus. It is such a

0:00:41.880 --> 0:00:45.200
<v Speaker 1>pleasure as always to catch up with Dr Ian les Bader,

0:00:45.640 --> 0:00:49.320
<v Speaker 1>our soothsayer, our truth teller, our guy who really helps

0:00:49.360 --> 0:00:52.440
<v Speaker 1>us understand where we're going and where we are, Clinical

0:00:52.479 --> 0:00:55.480
<v Speaker 1>Associate Professor of Medicine at n y us Lango Medical Center.

0:00:55.560 --> 0:00:58.040
<v Speaker 1>He joins us on the phone from New York City. Ian,

0:00:58.080 --> 0:01:01.760
<v Speaker 1>how are you hi? H Happy Friday, hugsum. I hope

0:01:01.800 --> 0:01:05.400
<v Speaker 1>everyone is doing well. We are so far thriving, but

0:01:05.520 --> 0:01:09.040
<v Speaker 1>seeing lots of patients and UH and seeing some longhaulers

0:01:09.120 --> 0:01:12.319
<v Speaker 1>and some COVID patients as well, So UH, we are

0:01:12.440 --> 0:01:16.040
<v Speaker 1>not out of the woods. Just so let's talk about that.

0:01:16.080 --> 0:01:20.160
<v Speaker 1>I mean, what is the reality check for this area

0:01:20.360 --> 0:01:23.880
<v Speaker 1>that we all live in, specifically the New York City

0:01:23.880 --> 0:01:26.520
<v Speaker 1>area I'm talking about, Like, where are we right now?

0:01:26.560 --> 0:01:30.720
<v Speaker 1>We see hot spots reported, but you you are quite

0:01:30.760 --> 0:01:33.640
<v Speaker 1>literally in on the front lines. Tell me more about

0:01:33.640 --> 0:01:38.360
<v Speaker 1>what you're seeing. So you know, we're definitely seeing UH

0:01:38.480 --> 0:01:41.440
<v Speaker 1>in increase in cases. And I think whenever you see

0:01:41.760 --> 0:01:46.600
<v Speaker 1>hot spots, you know, the danger is that extending into

0:01:46.640 --> 0:01:50.760
<v Speaker 1>other areas of the community. We're certainly seeing in the

0:01:50.800 --> 0:01:53.920
<v Speaker 1>Midwest as well, not just in New York City some

0:01:54.000 --> 0:01:57.240
<v Speaker 1>hot spots, but throughout the country. So I think until

0:01:57.320 --> 0:01:59.960
<v Speaker 1>we are all able to get a prevented amount of

0:02:00.040 --> 0:02:05.520
<v Speaker 1>US and UH, or until monoclonal antibody and fusions are

0:02:05.560 --> 0:02:09.040
<v Speaker 1>widely available, we really have to resort to the old

0:02:09.080 --> 0:02:13.640
<v Speaker 1>traditional UH infectious disease controls of you know, mass scoring,

0:02:13.680 --> 0:02:18.280
<v Speaker 1>even though we know that's not acent effective and social distancing.

0:02:18.960 --> 0:02:22.720
<v Speaker 1>And last week we talked about some in the in

0:02:22.760 --> 0:02:27.760
<v Speaker 1>the more religious community, and it is important that everyone follow,

0:02:28.080 --> 0:02:32.119
<v Speaker 1>you know, follow the guidelines. There is no uh problem,

0:02:32.160 --> 0:02:38.760
<v Speaker 1>there's no um conflict between religion and spirituality and good

0:02:38.880 --> 0:02:43.680
<v Speaker 1>good health and science or religions really emphasize healthy behavior

0:02:43.840 --> 0:02:46.720
<v Speaker 1>and and uh this is just part of that for

0:02:46.760 --> 0:02:49.919
<v Speaker 1>the time being. So there should be no conflict with

0:02:50.080 --> 0:02:53.680
<v Speaker 1>being observant in in the way you feel as appropriate

0:02:53.800 --> 0:02:58.560
<v Speaker 1>and also doing um good behavior for the community. Right.

0:02:58.600 --> 0:03:00.560
<v Speaker 1>I mean, I feel like that's been one and theme

0:03:01.160 --> 0:03:04.200
<v Speaker 1>um in that we've talked about. You know, it's it's

0:03:04.240 --> 0:03:06.160
<v Speaker 1>the whole virus is all about a sense of community.

0:03:06.320 --> 0:03:08.760
<v Speaker 1>It's protecting others. I mean, you want to protect yourself,

0:03:08.760 --> 0:03:10.520
<v Speaker 1>of course, but you really have to think about that's

0:03:10.520 --> 0:03:15.440
<v Speaker 1>what mask wearing is ultimately about. When you look at

0:03:15.720 --> 0:03:18.040
<v Speaker 1>what's going on around the country. I think I was

0:03:18.120 --> 0:03:21.680
<v Speaker 1>kind of thrown when I was watching some some programs,

0:03:21.720 --> 0:03:23.320
<v Speaker 1>some news programs, and they were showing a map of

0:03:23.320 --> 0:03:25.680
<v Speaker 1>the country and showing where we're seeing increases in cases,

0:03:25.720 --> 0:03:29.600
<v Speaker 1>and it was almost blanketed across the country. So is

0:03:29.680 --> 0:03:31.839
<v Speaker 1>this kind of the second wave that we've all been

0:03:31.880 --> 0:03:35.560
<v Speaker 1>talking about. Is this the beginning of it? Yes? I

0:03:35.560 --> 0:03:39.200
<v Speaker 1>think that is the case. You know, we certainly saw

0:03:39.280 --> 0:03:41.600
<v Speaker 1>a drop in the number of cases. And really around

0:03:41.600 --> 0:03:45.600
<v Speaker 1>the world we're seeing, you know, the second waves. And unfortunately,

0:03:45.640 --> 0:03:48.800
<v Speaker 1>if you look at even back to nine eighteen the

0:03:48.840 --> 0:03:52.520
<v Speaker 1>Spanish flu, you know, these viral infections do come in waves,

0:03:52.560 --> 0:03:56.160
<v Speaker 1>they do mutate a bit. UH. People do develop some

0:03:56.720 --> 0:04:00.440
<v Speaker 1>slowly but surely her herd immunity. UH. And again, the

0:04:00.480 --> 0:04:03.200
<v Speaker 1>idea is to kind of flatten the curve. You know,

0:04:03.440 --> 0:04:06.840
<v Speaker 1>no one ever said we're going to completely stop cases.

0:04:07.840 --> 0:04:12.080
<v Speaker 1>But if you're able to decrease hospital surging by wearing

0:04:12.160 --> 0:04:16.960
<v Speaker 1>mouks and um, you know, using prudent behavior, that will

0:04:17.040 --> 0:04:19.640
<v Speaker 1>kind of protect the health care systems so that people

0:04:19.640 --> 0:04:22.800
<v Speaker 1>who need ventilators or people who are sicker can be

0:04:22.920 --> 0:04:26.800
<v Speaker 1>admitted and there's you know, more reserve in the system.

0:04:26.880 --> 0:04:28.800
<v Speaker 1>So I think we are seeing the second wave. We're

0:04:28.800 --> 0:04:32.200
<v Speaker 1>seeing it really around the world. It's this has happened

0:04:32.200 --> 0:04:36.599
<v Speaker 1>in prior pandemics UM, and I think we have to continue,

0:04:37.040 --> 0:04:41.800
<v Speaker 1>certainly to be prudent. So Ian, I have a feeling

0:04:41.800 --> 0:04:43.360
<v Speaker 1>that you've been getting a lot of phone calls and

0:04:43.400 --> 0:04:48.840
<v Speaker 1>text and emails from friends, family, patients about everything we've

0:04:48.839 --> 0:04:50.919
<v Speaker 1>seen over the last week or so, especially with the

0:04:50.920 --> 0:04:55.000
<v Speaker 1>treatment of the president around various drugs. We count on

0:04:55.040 --> 0:04:56.839
<v Speaker 1>you to separate the signal from the noise. What do

0:04:56.880 --> 0:04:58.800
<v Speaker 1>we need to know about what we've learned, especially in

0:04:58.880 --> 0:05:03.000
<v Speaker 1>terms of therapeutics over the last few days. So not

0:05:03.120 --> 0:05:06.680
<v Speaker 1>everyone gets the same treatment as as the president, but

0:05:06.800 --> 0:05:09.800
<v Speaker 1>I think he had a very aggressive regiment and I

0:05:09.839 --> 0:05:13.840
<v Speaker 1>think actually a very smart regiment. Um it's certainly something

0:05:13.839 --> 0:05:17.840
<v Speaker 1>that it would be great to offer many patients. And

0:05:17.920 --> 0:05:20.880
<v Speaker 1>really all of these medications work in different ways, just

0:05:21.000 --> 0:05:24.840
<v Speaker 1>like we do HIV cocktails are hepathetis sea cocktails, where

0:05:24.839 --> 0:05:29.720
<v Speaker 1>we have several medications that work slightly differently for the viruses.

0:05:30.200 --> 0:05:32.920
<v Speaker 1>In combination, they can be highly effective. And I think,

0:05:33.120 --> 0:05:36.080
<v Speaker 1>you know, the President is a good example. You know,

0:05:36.120 --> 0:05:42.080
<v Speaker 1>he was in a high risk group being male, older, overweight,

0:05:42.320 --> 0:05:44.839
<v Speaker 1>and there are other risk factors that other people have

0:05:44.920 --> 0:05:49.400
<v Speaker 1>high blood pressure, diabetes, lung disease, UM, kidney disease, you

0:05:49.440 --> 0:05:51.800
<v Speaker 1>know that we all know about. And I think that's

0:05:51.839 --> 0:05:54.479
<v Speaker 1>also why our death rate or or a case fatality

0:05:54.560 --> 0:05:56.360
<v Speaker 1>rate is a little higher here. You know, we say

0:05:56.520 --> 0:05:59.040
<v Speaker 1>like why is an America not doing so well? Part

0:05:59.080 --> 0:06:01.800
<v Speaker 1>of it is our full you know, our population tends

0:06:01.839 --> 0:06:05.280
<v Speaker 1>to be overweight, more sedentary, couch potatoes. I don't want

0:06:05.279 --> 0:06:08.159
<v Speaker 1>to generalize, but we we definitely have You're not wrong,

0:06:08.279 --> 0:06:10.000
<v Speaker 1>and I think that's a fair I think that's a

0:06:10.000 --> 0:06:12.240
<v Speaker 1>fair assessment. We talk about data. I think the data

0:06:12.240 --> 0:06:16.760
<v Speaker 1>would bear you right. Exactly. We have almost a thirty

0:06:16.880 --> 0:06:20.800
<v Speaker 1>percent obesity rate, and quite frankly, that's a high risk

0:06:21.000 --> 0:06:24.160
<v Speaker 1>with COVID patients, and I think that is why we

0:06:24.320 --> 0:06:27.240
<v Speaker 1>have a higher case fatality rate. I don't think it

0:06:27.279 --> 0:06:30.280
<v Speaker 1>has anything to do with management, which is kind of standardized.

0:06:30.520 --> 0:06:33.640
<v Speaker 1>But in any case, he got this cocktail of monoclonal

0:06:33.720 --> 0:06:38.159
<v Speaker 1>Lanta Buddies by Regeneron and Lily is working on this regeneration,

0:06:38.200 --> 0:06:42.080
<v Speaker 1>by the way, is headed by a colleague classmate, George

0:06:42.080 --> 0:06:46.240
<v Speaker 1>Ancopolis from Columbia Medical School. I'm glad he made the

0:06:46.279 --> 0:06:49.279
<v Speaker 1>distinction that, you know, we can't all just like copped

0:06:49.320 --> 0:06:51.800
<v Speaker 1>her over to Walter Reed and be like, give me everything,

0:06:51.880 --> 0:06:54.159
<v Speaker 1>give me what you got, um, But how do we

0:06:54.240 --> 0:06:58.720
<v Speaker 1>think about it? So, for one, it does show you

0:06:58.760 --> 0:07:01.120
<v Speaker 1>that in the White House, even though people are tested

0:07:01.680 --> 0:07:06.200
<v Speaker 1>every day, because there's an incubation period, you can be

0:07:06.279 --> 0:07:10.400
<v Speaker 1>infected and not recover virus from the naves of pharynx

0:07:10.440 --> 0:07:13.800
<v Speaker 1>or from saliva. That this is not a hundred percent

0:07:13.920 --> 0:07:17.960
<v Speaker 1>full proof approach testing people every day, whether it's back

0:07:18.000 --> 0:07:20.320
<v Speaker 1>to school, and you know, we do need to accept

0:07:20.360 --> 0:07:24.000
<v Speaker 1>that that it is imperfect, no matter how careful you

0:07:24.040 --> 0:07:27.160
<v Speaker 1>can be. And obviously at the White House they're very

0:07:27.200 --> 0:07:31.800
<v Speaker 1>meticulous and in a close proximity people working together. Really

0:07:31.840 --> 0:07:35.760
<v Speaker 1>all you need is one person, uh where that test

0:07:35.800 --> 0:07:40.160
<v Speaker 1>doesn't catch it until they are more more vi remaic,

0:07:40.200 --> 0:07:43.600
<v Speaker 1>where there's more virus there. So, um, you know, he

0:07:43.680 --> 0:07:48.040
<v Speaker 1>became symptomatic and really got a cocktail and unproven, but

0:07:48.120 --> 0:07:52.240
<v Speaker 1>I think a very intelligent, smart cocktail um with not

0:07:52.320 --> 0:07:55.160
<v Speaker 1>all of those drugs yet FDA approved. You know, one

0:07:55.160 --> 0:07:58.800
<v Speaker 1>was room desiviere, which is approved for as an anti viral,

0:07:58.840 --> 0:08:00.960
<v Speaker 1>and we do give those to pay in the hospital.

0:08:01.760 --> 0:08:06.320
<v Speaker 1>Decks in methasone, which typically is given. You don't want

0:08:06.320 --> 0:08:08.440
<v Speaker 1>to give that too early because it is a mildest

0:08:08.560 --> 0:08:11.760
<v Speaker 1>as a steroid in immuno suppressant um, but we do

0:08:11.840 --> 0:08:14.760
<v Speaker 1>give it to people who are getting more inflammation. So

0:08:15.080 --> 0:08:18.160
<v Speaker 1>I suspect they were a little concerned about him with

0:08:18.200 --> 0:08:21.240
<v Speaker 1>blood oxygen or perhaps his X ray was abnormal. I

0:08:21.280 --> 0:08:26.640
<v Speaker 1>don't know. That, but that definitely decreases inflammation and probably

0:08:26.680 --> 0:08:29.760
<v Speaker 1>one of the key drugs which is yet to be

0:08:29.800 --> 0:08:35.120
<v Speaker 1>approved UH monoclonal antibodies and regeneration is is Um, one

0:08:35.160 --> 0:08:37.600
<v Speaker 1>of a couple of companies working on this and at

0:08:37.640 --> 0:08:41.199
<v Speaker 1>least with the regenera on Um system headed by one

0:08:41.200 --> 0:08:44.280
<v Speaker 1>of our Columbia P and S alumni. Just to put

0:08:44.320 --> 0:08:48.679
<v Speaker 1>in a plug um, these are mice that have a

0:08:48.800 --> 0:08:52.640
<v Speaker 1>humanized immune system, and monoclonal antibodies are developed to the

0:08:52.679 --> 0:08:56.480
<v Speaker 1>spike protein, which is the common protein. So even though

0:08:56.520 --> 0:08:59.840
<v Speaker 1>the virus may mutate, that spike that's typical on the

0:09:00.000 --> 0:09:02.360
<v Speaker 1>out or shell of the of the virus has has

0:09:02.480 --> 0:09:06.400
<v Speaker 1>monoclonal antibodies and that can dramatically reduce, uh, the amount

0:09:06.440 --> 0:09:08.880
<v Speaker 1>of virus in the bloodstream and really help the body's

0:09:08.920 --> 0:09:12.200
<v Speaker 1>own you know, by time for the virus to be

0:09:12.280 --> 0:09:16.120
<v Speaker 1>cleared in in your own UH immune system clear it.

0:09:16.520 --> 0:09:19.240
<v Speaker 1>So that I think has great potential. You know. The

0:09:19.280 --> 0:09:22.600
<v Speaker 1>problem of course is it's given intravenously, so you can't

0:09:22.640 --> 0:09:27.360
<v Speaker 1>just pop up right right and and it is yet

0:09:27.400 --> 0:09:30.120
<v Speaker 1>to be approved, but I think that certainly will be

0:09:30.160 --> 0:09:34.160
<v Speaker 1>a big addition to the armamentarium. And like many other

0:09:34.280 --> 0:09:37.640
<v Speaker 1>viruses and drugs. Having that combination therapy and anti viral

0:09:37.720 --> 0:09:41.800
<v Speaker 1>to reduce viral replication antibodies immediately, so you don't have

0:09:41.840 --> 0:09:46.040
<v Speaker 1>to wait for your body to develop antibuddies. You're given

0:09:46.080 --> 0:09:49.840
<v Speaker 1>these pasid antibodies which soak up the virus and then

0:09:50.240 --> 0:09:53.240
<v Speaker 1>perhaps decks and methodsone and some patients, So you know,

0:09:53.320 --> 0:09:56.960
<v Speaker 1>this makes sense. I think we're making progress on on

0:09:56.960 --> 0:10:00.160
<v Speaker 1>on treatments and we need to do that until al

0:10:00.200 --> 0:10:03.600
<v Speaker 1>of vaccine arrived. Switch again, we'll probably be very helpful.

0:10:03.600 --> 0:10:06.120
<v Speaker 1>It may not work in everyone, but again, as long

0:10:06.160 --> 0:10:09.520
<v Speaker 1>as we have a sixty effectiveness and as long as

0:10:09.559 --> 0:10:12.800
<v Speaker 1>we're able to get to more of a herd immunity um,

0:10:12.920 --> 0:10:15.520
<v Speaker 1>that should make a big difference. But that's not until spring,

0:10:15.840 --> 0:10:20.640
<v Speaker 1>right exactly. And as our reporter are Bob Lingreth, who's

0:10:20.679 --> 0:10:22.959
<v Speaker 1>got the cover story of the magazine and he's done

0:10:22.960 --> 0:10:25.240
<v Speaker 1>a lot of reporting on Giliad and Rambesca. Here he said,

0:10:25.679 --> 0:10:29.680
<v Speaker 1>you know, Generation only has about fifty doses available, and

0:10:29.679 --> 0:10:32.400
<v Speaker 1>he says, we've got fifty cases of the virus popping

0:10:32.480 --> 0:10:35.040
<v Speaker 1>up every day, so the numbers are not in our

0:10:35.080 --> 0:10:38.720
<v Speaker 1>favor for even some of the treatments. Like that. So

0:10:38.800 --> 0:10:42.959
<v Speaker 1>it's it's it's tricky and just got about thirty seconds left. Yep,

0:10:43.120 --> 0:10:45.640
<v Speaker 1>you know we're making progress. I think they're going to

0:10:45.760 --> 0:10:49.000
<v Speaker 1>ramp up. That's why we have to do what we

0:10:49.080 --> 0:10:53.000
<v Speaker 1>can do while further therapeutics and vaccines are being developed,

0:10:53.120 --> 0:10:56.280
<v Speaker 1>which is um acting smart and we know what to do,

0:10:56.520 --> 0:11:02.480
<v Speaker 1>and social distancing absolutely got it. This is Bloomberg Business

0:11:02.559 --> 0:11:06.559
<v Speaker 1>Week with Carol Masser and Jason Kelly on Bloomberg Radio.

0:11:06.840 --> 0:11:08.520
<v Speaker 1>Can I just say, it's a story, it's a map,

0:11:08.559 --> 0:11:11.680
<v Speaker 1>it's a podcast. That's how important this story is. Yeah,

0:11:11.720 --> 0:11:15.040
<v Speaker 1>it is such incredible work that this guy has been

0:11:15.040 --> 0:11:17.760
<v Speaker 1>doing throughout the course of the pandemic. Although even before

0:11:17.880 --> 0:11:21.360
<v Speaker 1>I feel like he shifted effortlessly from telling us everything

0:11:21.400 --> 0:11:23.640
<v Speaker 1>we needed to know about the trade war to everything

0:11:23.640 --> 0:11:27.079
<v Speaker 1>we needed to know about the economic impact of the pandemic,

0:11:27.280 --> 0:11:31.440
<v Speaker 1>especially when it comes to the embodiment of the K

0:11:31.559 --> 0:11:33.640
<v Speaker 1>shaped recovery. In a lot of ways, Carol, you know

0:11:33.720 --> 0:11:36.880
<v Speaker 1>like he is helping us understand this. I think through

0:11:36.960 --> 0:11:39.560
<v Speaker 1>the stories of real people, and this story is no

0:11:39.600 --> 0:11:41.480
<v Speaker 1>exception to talk about Sean Donn and he has senior

0:11:41.480 --> 0:11:44.480
<v Speaker 1>Trade and globalization reporter for Bloomberg he joins us on

0:11:44.520 --> 0:11:46.880
<v Speaker 1>the phone from Maryland. But a lot of this is

0:11:46.920 --> 0:11:51.000
<v Speaker 1>based on some incredible reporting Sean you did in Cleveland.

0:11:51.400 --> 0:11:53.840
<v Speaker 1>Tell us about what you've found, because this is part

0:11:53.840 --> 0:11:57.360
<v Speaker 1>of a series of stories that really capture what's going

0:11:57.400 --> 0:12:01.240
<v Speaker 1>on in America. Thanks Jason, You guys are much too kind.

0:12:01.320 --> 0:12:04.040
<v Speaker 1>I should just let you guys talk about this story. No, no, no, no,

0:12:04.400 --> 0:12:06.320
<v Speaker 1>we're just gonna talk about how great you are. You

0:12:06.480 --> 0:12:10.880
<v Speaker 1>have to tell us about the actual don't go on. Look.

0:12:11.000 --> 0:12:13.800
<v Speaker 1>I think one of the things we've we've been struggling

0:12:13.800 --> 0:12:16.160
<v Speaker 1>to get our head heads around as as people in

0:12:16.200 --> 0:12:20.040
<v Speaker 1>America right now, is this idea of different letter shaped recoveries.

0:12:20.080 --> 0:12:21.920
<v Speaker 1>What does a V shape recovery mean? What does a

0:12:22.000 --> 0:12:25.679
<v Speaker 1>K shaped recovery mean? We're gonna see a W Nike swish?

0:12:25.760 --> 0:12:28.360
<v Speaker 1>What what are we gonna say? And what's clear is

0:12:28.400 --> 0:12:33.040
<v Speaker 1>that we're seeing a recovery that is being felt differently

0:12:33.679 --> 0:12:36.800
<v Speaker 1>depending on where you are on the income ladder, where

0:12:36.840 --> 0:12:39.360
<v Speaker 1>you are in terms of home ownership, where you are

0:12:39.400 --> 0:12:42.960
<v Speaker 1>in terms of your ability to work from home, whether

0:12:43.000 --> 0:12:46.080
<v Speaker 1>you're part of what I've started calling bread baking America.

0:12:46.360 --> 0:12:48.360
<v Speaker 1>You know, that's those of us who are who are

0:12:48.400 --> 0:12:50.920
<v Speaker 1>out there learning how to how to bake sour dough

0:12:51.080 --> 0:12:53.600
<v Speaker 1>and and and have really bought a lot of flour

0:12:53.640 --> 0:12:56.599
<v Speaker 1>in the last six months. Or Breadline America, which is

0:12:56.640 --> 0:12:58.960
<v Speaker 1>a much sadder place, which is those people who are

0:12:58.960 --> 0:13:02.800
<v Speaker 1>out there who are struggling with housing, security and food

0:13:02.840 --> 0:13:06.080
<v Speaker 1>and security UH as a result of having lost their

0:13:06.120 --> 0:13:08.440
<v Speaker 1>their jobs as a result of the pandemic and the

0:13:08.480 --> 0:13:12.120
<v Speaker 1>economic collapse we've we've seen since then. One of the

0:13:12.160 --> 0:13:14.640
<v Speaker 1>things I set out to look at was the question

0:13:14.679 --> 0:13:17.640
<v Speaker 1>of housing, and I really was was my head was

0:13:17.720 --> 0:13:20.840
<v Speaker 1>spinning on this one, and finally I settled on the

0:13:20.880 --> 0:13:24.760
<v Speaker 1>idea of telling it through the story of two different houses. UM.

0:13:24.840 --> 0:13:28.000
<v Speaker 1>And that really gets at the divide in the recovery

0:13:28.120 --> 0:13:31.480
<v Speaker 1>right now. If you are a homeowner in a suburb

0:13:31.559 --> 0:13:36.320
<v Speaker 1>of Cleveland called Lakewood, you are seeing demand for property

0:13:36.400 --> 0:13:39.319
<v Speaker 1>sore right now. You're seeing property prices sore right now.

0:13:39.800 --> 0:13:43.640
<v Speaker 1>And we talked to a newlywed couple who bought a

0:13:43.679 --> 0:13:47.240
<v Speaker 1>house on del View Drive there UH and they ended

0:13:47.280 --> 0:13:49.760
<v Speaker 1>up being one of half a dozen people who bid

0:13:49.880 --> 0:13:53.199
<v Speaker 1>for this this this house within hours of it going online.

0:13:53.240 --> 0:13:55.520
<v Speaker 1>And they have a very happy story to tell. Their

0:13:55.559 --> 0:13:58.760
<v Speaker 1>two tech workers and they are are doing well in

0:13:58.840 --> 0:14:01.240
<v Speaker 1>life right now there from home, and they've got this

0:14:01.320 --> 0:14:03.679
<v Speaker 1>brand new home that they're that they're moving into on

0:14:03.720 --> 0:14:06.600
<v Speaker 1>the other side of town. We went to the Mount

0:14:06.600 --> 0:14:09.880
<v Speaker 1>Pleasant neighborhood and then I've been spending some time listening

0:14:09.920 --> 0:14:14.240
<v Speaker 1>to proceedings in the Cleveland Housing Court, and in doing that,

0:14:14.679 --> 0:14:17.720
<v Speaker 1>I ran across an eviction case involving a woman called

0:14:17.800 --> 0:14:21.920
<v Speaker 1>Calais Gavings. Calais Gavings is a nursing assistant. She has

0:14:22.000 --> 0:14:26.160
<v Speaker 1>rented a house UH in the Mount Pleasant neighborhood UH

0:14:26.400 --> 0:14:28.840
<v Speaker 1>for nine hundred dollars a month, and at one point

0:14:28.840 --> 0:14:32.280
<v Speaker 1>earlier this year she was laid off, she fell behind

0:14:32.280 --> 0:14:35.520
<v Speaker 1>on the rent. When she was back at work, she

0:14:35.880 --> 0:14:38.400
<v Speaker 1>just wasn't making as much as she used to, and

0:14:38.480 --> 0:14:41.000
<v Speaker 1>so she ended up in the Cleveland Housing Court, caught

0:14:41.080 --> 0:14:44.800
<v Speaker 1>up in an eviction crisis. And so these are today

0:14:44.880 --> 0:14:48.080
<v Speaker 1>these two very different stories that you see at play

0:14:48.080 --> 0:14:50.200
<v Speaker 1>in the housing market. But then you start scratching the

0:14:50.240 --> 0:14:54.320
<v Speaker 1>surface of these things and you discovered that actually you

0:14:54.360 --> 0:14:57.600
<v Speaker 1>can find really the legacy of the last crisis way

0:14:57.640 --> 0:14:59.720
<v Speaker 1>back in two thousand and eight in the subprime and

0:14:59.760 --> 0:15:03.680
<v Speaker 1>four closure crisis in the property records that involved Kellai

0:15:03.760 --> 0:15:07.600
<v Speaker 1>Gaving's house, and and and also just in the diverging

0:15:07.720 --> 0:15:12.000
<v Speaker 1>paths that you've had between homes and predominantly black neighborhoods

0:15:12.000 --> 0:15:14.440
<v Speaker 1>in Cleveland and their values and those that you've seen

0:15:14.840 --> 0:15:17.960
<v Speaker 1>and predominantly white neighborhoods. So it's a recovery that's unequal,

0:15:18.040 --> 0:15:20.280
<v Speaker 1>but it's also building on the legacy of the last crisis.

0:15:20.400 --> 0:15:22.840
<v Speaker 1>That's what's so troubling, Sean. And that's what you know,

0:15:22.920 --> 0:15:25.360
<v Speaker 1>Like you say, whether it was the east side of

0:15:25.400 --> 0:15:27.200
<v Speaker 1>town or the west side of town, west side being

0:15:27.240 --> 0:15:29.880
<v Speaker 1>wealthy or east side not so much, where it's mostly

0:15:29.960 --> 0:15:33.080
<v Speaker 1>black neighborhoods and a high percentage of rental properties, it

0:15:33.160 --> 0:15:37.080
<v Speaker 1>was already a struggling area, right, and then you layer

0:15:37.160 --> 0:15:41.160
<v Speaker 1>on the pandemic and it's just gotten you know, worse again.

0:15:41.200 --> 0:15:43.360
<v Speaker 1>But it's also, as you said, it was already an

0:15:43.440 --> 0:15:46.800
<v Speaker 1>area that wasn't able to completely catch its breath from

0:15:46.840 --> 0:15:49.040
<v Speaker 1>the last crisis. And you know, when we talk about

0:15:49.080 --> 0:15:51.200
<v Speaker 1>wealth creation, I think this is a part of it.

0:15:51.280 --> 0:15:54.600
<v Speaker 1>Like there these groups of people are never given a

0:15:54.720 --> 0:15:58.720
<v Speaker 1>chance to create any kind of real wealth in their lives.

0:15:58.880 --> 0:16:00.520
<v Speaker 1>It is such a huge part of it. And it

0:16:00.600 --> 0:16:03.360
<v Speaker 1>has to do with with with neighborhood stability in a

0:16:03.400 --> 0:16:05.720
<v Speaker 1>lot of ways. I mean the house that kill a

0:16:05.800 --> 0:16:09.640
<v Speaker 1>gatherings and she moved out at the end of September

0:16:09.800 --> 0:16:13.080
<v Speaker 1>out of this house, but it's owned by UH, an

0:16:13.120 --> 0:16:17.920
<v Speaker 1>anonymous LLCO limited liability company that's actually, if you kind

0:16:17.960 --> 0:16:22.120
<v Speaker 1>of track it down, is a shell company owned by

0:16:22.560 --> 0:16:27.080
<v Speaker 1>French investors who have flocked into Cleveland UH to buy

0:16:27.160 --> 0:16:30.200
<v Speaker 1>up these cheap properties because they're searching for yield. UH.

0:16:30.480 --> 0:16:33.760
<v Speaker 1>You know, the investor who owns that property bought it

0:16:33.800 --> 0:16:37.320
<v Speaker 1>for sixty five thousand dollars a year ago. UH. They're

0:16:37.320 --> 0:16:40.520
<v Speaker 1>collecting nine dollars a month in rent on it. That's

0:16:40.560 --> 0:16:44.960
<v Speaker 1>a gross annual turn of like sixt It almost doesn't

0:16:44.960 --> 0:16:48.720
<v Speaker 1>matter if the value of the house goes up, right.

0:16:48.840 --> 0:16:52.040
<v Speaker 1>This is a cash flow play for those investors. And

0:16:52.920 --> 0:16:55.720
<v Speaker 1>on the flip side, you have these these predominantly white

0:16:55.760 --> 0:16:58.960
<v Speaker 1>suburbs where you have had pretty steady capital appreciation. This

0:16:59.040 --> 0:17:01.760
<v Speaker 1>house that we looked at in the neighborhood of Lakewood

0:17:01.760 --> 0:17:04.560
<v Speaker 1>had actually more than doubled in value in the last

0:17:04.640 --> 0:17:08.840
<v Speaker 1>eight or nine years. And Seawan, I feel like, you know,

0:17:09.320 --> 0:17:12.720
<v Speaker 1>one of the most powerful pieces of your reporting is

0:17:12.800 --> 0:17:17.240
<v Speaker 1>that you're telling stories that I am sure people in

0:17:17.720 --> 0:17:21.159
<v Speaker 1>a number of different cities, countless cities across America, and

0:17:21.200 --> 0:17:23.280
<v Speaker 1>you've been to some of them. You certainly talked to people,

0:17:23.280 --> 0:17:26.120
<v Speaker 1>and a lot of them this could be their city too.

0:17:26.240 --> 0:17:29.679
<v Speaker 1>This is not a Cleveland problem. Oh look, absolutely, it's

0:17:29.680 --> 0:17:32.120
<v Speaker 1>a problem right here in Washington, d C. I'm out

0:17:32.160 --> 0:17:35.679
<v Speaker 1>in the predominantly white suburbs of Washington, d C. I

0:17:35.760 --> 0:17:39.399
<v Speaker 1>have a very different economic reality from people who are

0:17:39.560 --> 0:17:43.159
<v Speaker 1>in predominantly black neighborhoods on the other side of the

0:17:43.200 --> 0:17:48.000
<v Speaker 1>Anacostia River. It's the same thing in New York. It's

0:17:48.080 --> 0:17:51.280
<v Speaker 1>the same thing in you know out west there is

0:17:51.359 --> 0:17:54.840
<v Speaker 1>There isn't almost no American city where this kind of

0:17:54.920 --> 0:17:59.000
<v Speaker 1>unequal recovery isn't the story? Yeah, well, can I just

0:17:59.200 --> 0:18:00.960
<v Speaker 1>I know we've got were at that time. We could

0:18:00.960 --> 0:18:02.840
<v Speaker 1>talk a lot more about this, and I highly recommend

0:18:02.880 --> 0:18:05.080
<v Speaker 1>I'll put it out on Twitter. I may have already,

0:18:05.119 --> 0:18:06.440
<v Speaker 1>but I'll do it again because I think it's a

0:18:06.480 --> 0:18:10.160
<v Speaker 1>must read. But is there any hope that things change?

0:18:10.200 --> 0:18:13.560
<v Speaker 1>Sean and your reporting? We just have about seconds here. Yeah. No,

0:18:13.680 --> 0:18:15.520
<v Speaker 1>I think one of the really interesting things is what

0:18:15.560 --> 0:18:17.840
<v Speaker 1>do you do about something like this. And part of

0:18:17.840 --> 0:18:21.639
<v Speaker 1>the problem here is that the policy response that's aimed

0:18:21.680 --> 0:18:25.600
<v Speaker 1>at the broader economy is actually helping accelerate this, right.

0:18:25.640 --> 0:18:28.679
<v Speaker 1>I mean, we know that the said pouring money into

0:18:28.800 --> 0:18:31.720
<v Speaker 1>into into markets, lowering interest rates, that lowers mortgage rates,

0:18:31.760 --> 0:18:34.680
<v Speaker 1>that helps homeowners and so on. There needs to be

0:18:34.800 --> 0:18:38.479
<v Speaker 1>some kind of targeting for someone like to Lake Athings

0:18:38.520 --> 0:18:40.560
<v Speaker 1>that say that nine hundred dollars a month needs to

0:18:40.600 --> 0:18:45.399
<v Speaker 1>go into building equity rather than simply going to rent.

0:18:45.480 --> 0:18:49.560
<v Speaker 1>That is helping an offshore investor who has no interest

0:18:49.600 --> 0:18:54.040
<v Speaker 1>in that neighborhood beyond cash flow and return. Yeah, yeah,

0:18:54.080 --> 0:18:56.399
<v Speaker 1>it's really I mean, the whole the wealth gap is

0:18:56.480 --> 0:18:58.840
<v Speaker 1>so apparent. Uh, and that's a big part of it.

0:18:58.840 --> 0:19:02.119
<v Speaker 1>All right, Sean Donn And thank you really really appreciate it. Uh,

0:19:02.200 --> 0:19:05.680
<v Speaker 1>you're reporting it is must read as always, So check

0:19:05.720 --> 0:19:08.120
<v Speaker 1>out this story. It's in the new double issue Bloomberg

0:19:08.119 --> 0:19:10.720
<v Speaker 1>Business Week magazine, available in newsstands and Bloomberg dot com.

0:19:10.800 --> 0:19:15.960
<v Speaker 1>It's also featured in the Stephonomics podcast with our colleague

0:19:16.040 --> 0:19:18.680
<v Speaker 1>Stephanie Flanders, So get that where you get your podcast.

0:19:18.920 --> 0:19:22.520
<v Speaker 1>This is Bloomberg Business Week with Carol Masser and Jason

0:19:22.600 --> 0:19:25.920
<v Speaker 1>Kelly on Bloomberg Radio. All right, so we talked about

0:19:25.920 --> 0:19:27.960
<v Speaker 1>her yesterday. She is the subject of a story in

0:19:27.960 --> 0:19:31.360
<v Speaker 1>the magazine which reveals how she is the economist that's

0:19:31.400 --> 0:19:35.080
<v Speaker 1>become a pandemic sensation by helping stressed out parents. Uh,

0:19:35.119 --> 0:19:37.440
<v Speaker 1>and we've talked with her before in Today's Business Week

0:19:37.440 --> 0:19:40.520
<v Speaker 1>Economics were so delighted excited to have back with us

0:19:40.680 --> 0:19:43.679
<v Speaker 1>Emily Austar, author and professor of economics at the Watson

0:19:43.680 --> 0:19:47.040
<v Speaker 1>Institute for International and Public Affairs at Brown University. She's

0:19:47.040 --> 0:19:49.600
<v Speaker 1>a Bloomberg opinion columnist, and she joins us on the

0:19:49.640 --> 0:19:53.439
<v Speaker 1>phone from Providence, Rhode Island. Um, Emily, we really are delighted.

0:19:53.440 --> 0:19:55.919
<v Speaker 1>We had a great conversation with Esme Dupress, who wrote

0:19:56.240 --> 0:19:59.320
<v Speaker 1>this great story about you that really gets into your

0:19:59.320 --> 0:20:02.080
<v Speaker 1>background and and also the impact you're having on our

0:20:02.119 --> 0:20:04.560
<v Speaker 1>world today, especially parents, which we'll talk about in a moment.

0:20:05.040 --> 0:20:08.800
<v Speaker 1>But talk to us about kind of how you grew

0:20:08.920 --> 0:20:11.200
<v Speaker 1>up and how you got to where you are today,

0:20:11.200 --> 0:20:14.160
<v Speaker 1>because I feel like economics is in your bones, your blood,

0:20:14.200 --> 0:20:17.480
<v Speaker 1>your genetic makeup. No, it's it's totally right. So thank

0:20:17.520 --> 0:20:19.600
<v Speaker 1>you guys for having me. And I'm like incredibly grateful

0:20:19.640 --> 0:20:22.320
<v Speaker 1>to me for having written this article. It's sort of

0:20:22.320 --> 0:20:24.959
<v Speaker 1>always a little bit nerve wracking to read about yourself

0:20:25.000 --> 0:20:28.080
<v Speaker 1>and but um, I think she just I was so

0:20:28.160 --> 0:20:30.639
<v Speaker 1>happy with it. Um. So yeah, I grew up my

0:20:30.680 --> 0:20:32.680
<v Speaker 1>both of my parents are economists. That's probably the most

0:20:32.760 --> 0:20:35.359
<v Speaker 1>valient piece of information. So I have two economist parents.

0:20:35.359 --> 0:20:38.040
<v Speaker 1>I'm actually married to an economist. So I'm sort of

0:20:38.080 --> 0:20:41.320
<v Speaker 1>like steeped from from birth more or less in the

0:20:41.440 --> 0:20:45.000
<v Speaker 1>idea of using economics for decision making in your household.

0:20:47.240 --> 0:20:52.600
<v Speaker 1>And so how does that help you maybe think of

0:20:52.640 --> 0:20:56.360
<v Speaker 1>it differently? You know, in this sense that if you're

0:20:56.400 --> 0:20:58.359
<v Speaker 1>kind of living and breathing it all the time, if

0:20:58.400 --> 0:21:02.199
<v Speaker 1>it really has sort of baked into your very uh being,

0:21:02.400 --> 0:21:06.479
<v Speaker 1>do you think that maybe you naturally think a different

0:21:06.520 --> 0:21:10.159
<v Speaker 1>way than other people do? Make sure it's I'm not

0:21:10.400 --> 0:21:12.280
<v Speaker 1>totally sure, but I do think that there's a sense

0:21:12.280 --> 0:21:13.760
<v Speaker 1>in which you sort of grow up with a way

0:21:13.760 --> 0:21:17.199
<v Speaker 1>of approaching problem and um, you know, and with like

0:21:17.320 --> 0:21:19.040
<v Speaker 1>some as they tell the story, like my my mom

0:21:19.080 --> 0:21:22.000
<v Speaker 1>didn't want to grocery shop when I was a kid.

0:21:22.000 --> 0:21:23.560
<v Speaker 1>I said, you know, why don't we go grocery shopping?

0:21:23.600 --> 0:21:26.120
<v Speaker 1>Like everyone else, why are you ordering groceres? Did you say, well,

0:21:26.160 --> 0:21:28.200
<v Speaker 1>I have a very high opportunity cost of my time

0:21:28.880 --> 0:21:30.639
<v Speaker 1>and you know, And I feel like for me, I

0:21:30.680 --> 0:21:32.520
<v Speaker 1>was like, oh, we were like okay, that makes sense,

0:21:32.560 --> 0:21:34.080
<v Speaker 1>you know what I think. But I think for like,

0:21:34.280 --> 0:21:35.919
<v Speaker 1>for a lot of people, that would be like what

0:21:36.200 --> 0:21:40.399
<v Speaker 1>what are you talking? Yeah, how do you like that

0:21:40.520 --> 0:21:42.600
<v Speaker 1>pick up like you know, pack and gum if you're

0:21:42.600 --> 0:21:45.879
<v Speaker 1>not at the grocery store having those opportunities? I mean no,

0:21:46.200 --> 0:21:48.480
<v Speaker 1>I mean I think as a kid, it's like, where,

0:21:48.520 --> 0:21:50.840
<v Speaker 1>like how was I going to get to negotiate over

0:21:50.840 --> 0:21:53.600
<v Speaker 1>the sugary peanut butter if we were just ordering on online?

0:21:55.200 --> 0:21:58.480
<v Speaker 1>But but but at the same time, like that, that

0:21:58.600 --> 0:22:02.199
<v Speaker 1>notion of learning opportunity any costs though and thinking about

0:22:02.240 --> 0:22:06.760
<v Speaker 1>it is a really um kind of intriguing one because

0:22:06.840 --> 0:22:10.360
<v Speaker 1>if you it's funny you say that because I've actually, um,

0:22:10.520 --> 0:22:13.280
<v Speaker 1>I guess, sort of showing my predilections as well. I've

0:22:13.320 --> 0:22:16.600
<v Speaker 1>actually had that conversation with I've talked about opportunity costs

0:22:16.680 --> 0:22:20.200
<v Speaker 1>with with my teenagers, and I do think that once

0:22:20.280 --> 0:22:23.080
<v Speaker 1>you start to look at that at the world through

0:22:23.240 --> 0:22:26.560
<v Speaker 1>a lens like that, it's hard to then not look

0:22:26.600 --> 0:22:29.160
<v Speaker 1>at it that way, right, Yeah, I think it's very

0:22:29.160 --> 0:22:31.199
<v Speaker 1>hard to turn it off. And I think sometimes, you know,

0:22:31.240 --> 0:22:33.560
<v Speaker 1>it's good that I'm married to another economist, because I'm

0:22:33.600 --> 0:22:35.080
<v Speaker 1>not sure that I could turn it off. And I

0:22:35.119 --> 0:22:37.959
<v Speaker 1>think that for some people of this approach feels like

0:22:38.080 --> 0:22:41.719
<v Speaker 1>really sort of foreign and odd, and it's like, what, like,

0:22:41.760 --> 0:22:43.720
<v Speaker 1>what kind of argument is that for? You know, well,

0:22:43.760 --> 0:22:45.480
<v Speaker 1>I don't you know, I don't feel like I should

0:22:45.520 --> 0:22:48.080
<v Speaker 1>have to load the dishwasher because it's not my comparative advantage.

0:22:48.440 --> 0:22:51.000
<v Speaker 1>That isn't an argument that like works as well if

0:22:51.000 --> 0:22:56.520
<v Speaker 1>your spouse is not also also an economist. Oh my god,

0:22:56.560 --> 0:22:58.560
<v Speaker 1>I studied economics, and I don't know if I if

0:22:58.560 --> 0:23:00.080
<v Speaker 1>I tried that at home, I think my health and

0:23:00.160 --> 0:23:02.120
<v Speaker 1>we would just be like, yeah, you were done. We're done.

0:23:02.400 --> 0:23:06.600
<v Speaker 1>I've heard enough stories about your family. It's not gonna

0:23:06.640 --> 0:23:09.560
<v Speaker 1>work now. But it is interesting, especially, you know, you know,

0:23:09.680 --> 0:23:11.640
<v Speaker 1>fast forward a little bit, like we are in such

0:23:11.680 --> 0:23:15.360
<v Speaker 1>a data centric world, right, and I think about there

0:23:15.480 --> 0:23:17.720
<v Speaker 1>is so much data out there for us to assess

0:23:17.760 --> 0:23:23.240
<v Speaker 1>situations and kind of a rational economic analytic way, and

0:23:23.240 --> 0:23:25.880
<v Speaker 1>and that might help us get through some of the noise.

0:23:25.960 --> 0:23:28.280
<v Speaker 1>That's really hard to get through, especially if you think

0:23:28.320 --> 0:23:31.800
<v Speaker 1>about something like a pandemic. Yeah, I mean I think

0:23:31.920 --> 0:23:34.479
<v Speaker 1>you know, as as I have been trying to do

0:23:34.520 --> 0:23:36.920
<v Speaker 1>more sort of talking to to a lay audience, both

0:23:36.960 --> 0:23:39.280
<v Speaker 1>of the pandemic and even and even before I sort

0:23:39.320 --> 0:23:42.120
<v Speaker 1>of I really rely on data, and for me, sort

0:23:42.119 --> 0:23:45.639
<v Speaker 1>of seeing things in the data is really useful in

0:23:45.720 --> 0:23:47.720
<v Speaker 1>it to be like a key input tough decision making.

0:23:47.800 --> 0:23:49.480
<v Speaker 1>Although one of the things I've realized is that it

0:23:49.520 --> 0:23:52.480
<v Speaker 1>can be very hard for people, say who do not

0:23:52.560 --> 0:23:56.399
<v Speaker 1>depend their whole childhood discussing data, uh, to kind of

0:23:56.840 --> 0:24:00.120
<v Speaker 1>like put data in there in a way that it's

0:24:00.160 --> 0:24:02.800
<v Speaker 1>helpful for making decisions as opposed to just being sort

0:24:02.800 --> 0:24:05.520
<v Speaker 1>of numbers that come out at you. And I think

0:24:05.560 --> 0:24:08.119
<v Speaker 1>that some of the challenge is really like how do

0:24:08.200 --> 0:24:11.600
<v Speaker 1>we put these numbers into context where people can actually

0:24:11.680 --> 0:24:14.800
<v Speaker 1>use them, use them as opposed to just see them

0:24:15.280 --> 0:24:18.040
<v Speaker 1>and kind of not quite understand how to fit them

0:24:18.040 --> 0:24:20.000
<v Speaker 1>in their decision making. I think that's that's kind of

0:24:20.000 --> 0:24:23.199
<v Speaker 1>the tea of economics. So talk to us about some

0:24:23.280 --> 0:24:26.040
<v Speaker 1>of the examples, because because you've really connected with a

0:24:26.200 --> 0:24:30.200
<v Speaker 1>very very broad audience and an audience that normally would

0:24:30.200 --> 0:24:35.040
<v Speaker 1>really shy away from you know, thinking about things through

0:24:35.080 --> 0:24:37.719
<v Speaker 1>this framework. So give us an exist, give us one

0:24:37.720 --> 0:24:41.879
<v Speaker 1>of the good examples where people who aren't as schooled

0:24:41.880 --> 0:24:45.680
<v Speaker 1>in this go oh okay, I got it. I mean

0:24:45.760 --> 0:24:48.719
<v Speaker 1>I think that the you know, the biggest, the biggest

0:24:48.720 --> 0:24:50.480
<v Speaker 1>thing that people sort of is at a hob moment

0:24:50.560 --> 0:24:52.560
<v Speaker 1>for me when I try to explain risk to people

0:24:52.640 --> 0:24:55.159
<v Speaker 1>is I talk about cars. So people are sort of

0:24:55.160 --> 0:24:56.720
<v Speaker 1>have a lot of like, I don't want to take

0:24:56.760 --> 0:24:58.320
<v Speaker 1>that risk. I don't want to take that riskus times

0:24:58.320 --> 0:24:59.800
<v Speaker 1>I'll be like, well do you ever get in a car?

0:25:00.359 --> 0:25:03.119
<v Speaker 1>And then they're like, oh, I see, you know what.

0:25:03.280 --> 0:25:06.600
<v Speaker 1>I think that angle of sort of saying like, oh, actually,

0:25:06.720 --> 0:25:08.760
<v Speaker 1>I am taking some of these risks. It must be

0:25:09.000 --> 0:25:11.720
<v Speaker 1>that I am willing to adopt some risk. Let me

0:25:11.760 --> 0:25:14.720
<v Speaker 1>now flame other things in that. I think that is

0:25:14.760 --> 0:25:19.240
<v Speaker 1>often a moment of like, huh, I see what you're saying. So, Emily,

0:25:19.840 --> 0:25:22.640
<v Speaker 1>let's get down to the brass tacks of parenting during

0:25:22.680 --> 0:25:27.160
<v Speaker 1>this pandemic. It is brutal for a lot of people.

0:25:27.200 --> 0:25:29.080
<v Speaker 1>I mean, I have teenagers and a two and a

0:25:29.119 --> 0:25:31.879
<v Speaker 1>half year old, and I feel like I'm actually in

0:25:31.880 --> 0:25:34.399
<v Speaker 1>pretty good shape because the older ones are self sufficient,

0:25:34.480 --> 0:25:36.000
<v Speaker 1>and the two and a half year old is just

0:25:36.040 --> 0:25:38.480
<v Speaker 1>adorable and you know, kind of living your best life

0:25:38.480 --> 0:25:42.399
<v Speaker 1>amid all of this. But I do feel like for people,

0:25:42.640 --> 0:25:47.000
<v Speaker 1>especially with school age kids, sort of elementary school kids

0:25:47.160 --> 0:25:52.200
<v Speaker 1>who are also trying to work, this is really really difficult. Yeah,

0:25:52.280 --> 0:25:54.199
<v Speaker 1>I mean I think the spring was really hard and

0:25:54.200 --> 0:25:56.919
<v Speaker 1>then sort of going into the fall. Um. Yeah, I

0:25:56.960 --> 0:25:58.520
<v Speaker 1>was talking to somebody the other day was saying that

0:25:58.560 --> 0:26:00.560
<v Speaker 1>her six year old is expected to be on zoom

0:26:00.560 --> 0:26:02.840
<v Speaker 1>from eight thirty three thirty with a thirty minute break.

0:26:03.119 --> 0:26:06.600
<v Speaker 1>I'm doing, you know, really tough. That's crazy. It's that

0:26:06.880 --> 0:26:10.560
<v Speaker 1>hard for the kids, really hard for the parents. So

0:26:10.560 --> 0:26:12.919
<v Speaker 1>so how do you do? Yeah, because I mean this

0:26:13.040 --> 0:26:14.919
<v Speaker 1>is like parents have been looking to you to like,

0:26:14.960 --> 0:26:19.880
<v Speaker 1>for for kind of guidance on this whole school thing. Yeah,

0:26:19.920 --> 0:26:21.399
<v Speaker 1>and I think that, you know, it's sort of at

0:26:21.440 --> 0:26:23.199
<v Speaker 1>some point I realized that it was very hard to

0:26:23.200 --> 0:26:25.280
<v Speaker 1>get that guy into that data and we didn't have

0:26:25.520 --> 0:26:27.520
<v Speaker 1>a good data and so, you know, one of the

0:26:27.560 --> 0:26:30.679
<v Speaker 1>big pandemic projects I've been trying to do is to

0:26:30.720 --> 0:26:33.479
<v Speaker 1>try to actually collect some data on um on tools.

0:26:33.520 --> 0:26:34.960
<v Speaker 1>And as they talked a little bit about that in

0:26:35.000 --> 0:26:37.240
<v Speaker 1>the in the piece, but we've you know, got some

0:26:37.520 --> 0:26:39.639
<v Speaker 1>We've now got in some data. We're starting to you know,

0:26:39.680 --> 0:26:42.840
<v Speaker 1>work with schools, try to collect COVID tracking data over

0:26:42.840 --> 0:26:44.440
<v Speaker 1>time to really look at, you know, what are the

0:26:44.520 --> 0:26:47.119
<v Speaker 1>risks and then I think even the next few weeks

0:26:47.359 --> 0:26:48.679
<v Speaker 1>being able to look at you know, what are the

0:26:48.800 --> 0:26:51.679
<v Speaker 1>what are the kind of mitigation practices of schools are

0:26:51.720 --> 0:26:54.520
<v Speaker 1>taking that are helping them keep cases down so we

0:26:54.560 --> 0:26:56.880
<v Speaker 1>can help places reopen, because I think that is really

0:26:56.880 --> 0:26:59.440
<v Speaker 1>got to be our goal is to get especially younger

0:26:59.520 --> 0:27:01.960
<v Speaker 1>kids back in school. Well, what is the data showing

0:27:01.960 --> 0:27:04.920
<v Speaker 1>when it comes to schools? Um? And you know, it's interesting.

0:27:04.920 --> 0:27:07.040
<v Speaker 1>I was We're talking about real estate earlier, and it's

0:27:07.040 --> 0:27:09.399
<v Speaker 1>always location, location, location, And I feel like even with

0:27:09.440 --> 0:27:13.040
<v Speaker 1>a virus to some extent, it's location, location location. UM

0:27:13.119 --> 0:27:15.879
<v Speaker 1>that you know, every school system, every city, every town

0:27:16.080 --> 0:27:17.840
<v Speaker 1>is not going to be every state is not going

0:27:17.880 --> 0:27:19.640
<v Speaker 1>to be the same. But I'm curious what your data

0:27:19.720 --> 0:27:22.440
<v Speaker 1>showing when it comes to all of this. Yeah, so

0:27:22.480 --> 0:27:24.159
<v Speaker 1>I think our data in general is showing you know,

0:27:24.200 --> 0:27:26.760
<v Speaker 1>fairly low rates. UM. So we actually have you know,

0:27:26.760 --> 0:27:29.080
<v Speaker 1>a bunch of geographics coverage and for you know, in

0:27:29.119 --> 0:27:32.600
<v Speaker 1>person school we're seeing over the last two weeks of September.

0:27:33.080 --> 0:27:34.840
<v Speaker 1>You in the average school of a thousand kids, we're

0:27:34.840 --> 0:27:37.800
<v Speaker 1>seeing about one point five cases. Um, so you know,

0:27:37.880 --> 0:27:40.920
<v Speaker 1>not no cases, but but you know, relatively low, um

0:27:41.720 --> 0:27:44.439
<v Speaker 1>low rates and uh and you know, the rates are

0:27:44.520 --> 0:27:46.800
<v Speaker 1>much lower in elementary than high school in the data

0:27:46.840 --> 0:27:49.080
<v Speaker 1>that we're seeing so far. So it certainly seems like

0:27:49.240 --> 0:27:51.720
<v Speaker 1>there's kind of a stronger argument maybe for bringing back

0:27:51.800 --> 0:27:55.800
<v Speaker 1>younger kids and older kids. Yeah. So, Emily, when you

0:27:55.840 --> 0:27:58.719
<v Speaker 1>think about this from a broader perspective, you know, a

0:27:58.720 --> 0:28:00.680
<v Speaker 1>lot of it. We talked about this on the program

0:28:00.760 --> 0:28:03.560
<v Speaker 1>all the time, this notion that kids being back at

0:28:03.560 --> 0:28:07.320
<v Speaker 1>school is a critical part of the broader economic equation

0:28:07.440 --> 0:28:10.600
<v Speaker 1>in terms of really getting the economy back to some

0:28:10.680 --> 0:28:14.640
<v Speaker 1>sense of normalcy for you know, blue collar workers, white

0:28:14.680 --> 0:28:17.959
<v Speaker 1>color words for the whole workforce. How how do you

0:28:18.200 --> 0:28:20.600
<v Speaker 1>attack that problem or how do you get your arms

0:28:20.640 --> 0:28:24.240
<v Speaker 1>around this notion of measuring the either the loss of

0:28:24.280 --> 0:28:28.000
<v Speaker 1>productivity or whatever it is with kids being at home

0:28:28.160 --> 0:28:32.159
<v Speaker 1>as it plays through the workforce and the and the

0:28:32.200 --> 0:28:35.520
<v Speaker 1>broader employment picture. Yeah, so I think there's sort of

0:28:35.520 --> 0:28:38.200
<v Speaker 1>two things to say about that. So probably the most

0:28:38.200 --> 0:28:40.240
<v Speaker 1>directly to see those kind of impacts. Is to look

0:28:40.240 --> 0:28:42.440
<v Speaker 1>at the labor force numbers, which I think came out

0:28:42.520 --> 0:28:44.960
<v Speaker 1>last week, where you see basically huge drops in labor

0:28:45.000 --> 0:28:48.600
<v Speaker 1>force participation. Make labor force participation overall was down about

0:28:48.600 --> 0:28:51.520
<v Speaker 1>a million UM in primary adults, and it's almost all

0:28:51.520 --> 0:28:53.520
<v Speaker 1>of that is moong women. UM. So I think we're

0:28:53.560 --> 0:28:56.360
<v Speaker 1>really seeing a lot of women labor labor force, presumably

0:28:56.440 --> 0:29:00.160
<v Speaker 1>because there are these additional caregiving obligations at home. But

0:29:00.200 --> 0:29:02.960
<v Speaker 1>I also think we're framing this as somehow like it's

0:29:02.960 --> 0:29:05.320
<v Speaker 1>the economy versus health and we need to open schools

0:29:05.360 --> 0:29:07.440
<v Speaker 1>to the economy and like, let you know, the help

0:29:07.680 --> 0:29:09.840
<v Speaker 1>throw caution to the win on health. But I actually

0:29:09.920 --> 0:29:14.120
<v Speaker 1>think it's there's also real significant health issues depression, anxiety,

0:29:14.240 --> 0:29:16.840
<v Speaker 1>mental health, food and security. There are reasons that we

0:29:16.880 --> 0:29:19.520
<v Speaker 1>want kids in school that have nothing to do with

0:29:19.640 --> 0:29:22.160
<v Speaker 1>you know, we've got to get our economy going right.

0:29:22.680 --> 0:29:25.960
<v Speaker 1>I mean there's also you do wonder what happens to

0:29:26.080 --> 0:29:30.160
<v Speaker 1>kids right developmentally UM and education wise for some of

0:29:30.200 --> 0:29:34.760
<v Speaker 1>those critical years if they're not in school with peers no,

0:29:34.920 --> 0:29:36.880
<v Speaker 1>and I think that you know, there's there's learning losses,

0:29:36.880 --> 0:29:40.400
<v Speaker 1>there's socio emotional development losses. Um, there's you rockouts and

0:29:40.520 --> 0:29:42.640
<v Speaker 1>I think we're going to see the impacts on this,

0:29:42.800 --> 0:29:46.360
<v Speaker 1>on this on kids, you know, basically forever. Yeah. And

0:29:46.400 --> 0:29:48.040
<v Speaker 1>I know, like I knew, some of the positions you've

0:29:48.040 --> 0:29:51.800
<v Speaker 1>taken haven't always been well received by lots of people.

0:29:51.840 --> 0:29:53.760
<v Speaker 1>I know, as it gets into you know, what kind

0:29:53.760 --> 0:29:56.720
<v Speaker 1>of pushback have you gotten? So I think on the

0:29:56.880 --> 0:29:59.040
<v Speaker 1>you know, on the school stuff, UM, you know, the

0:29:59.480 --> 0:30:01.720
<v Speaker 1>position we need more data is something I think many

0:30:01.720 --> 0:30:04.960
<v Speaker 1>people agree with. UM. But you know, I also, UM,

0:30:05.080 --> 0:30:07.600
<v Speaker 1>I have taken the position that we should be reopening

0:30:07.600 --> 0:30:09.600
<v Speaker 1>at least more than we than we have been. And

0:30:09.600 --> 0:30:12.520
<v Speaker 1>I think there, you know, there is pushback there. UM.

0:30:12.560 --> 0:30:15.720
<v Speaker 1>And I think, you know, sometimes you know, you have

0:30:15.800 --> 0:30:20.040
<v Speaker 1>to think about like this argument is grounded in in data, um,

0:30:20.320 --> 0:30:24.120
<v Speaker 1>and we can have an argument on the merits. Um.

0:30:24.160 --> 0:30:27.360
<v Speaker 1>I think it's really important. And reason Witherspoon says she

0:30:27.480 --> 0:30:29.680
<v Speaker 1>likes what you're doing. I'm convinced she's going to play

0:30:29.720 --> 0:30:31.720
<v Speaker 1>you in a miniseries on Netflix. Can I just put

0:30:31.720 --> 0:30:35.719
<v Speaker 1>that out there? That would be amazing, UM, But I

0:30:35.760 --> 0:30:40.440
<v Speaker 1>doubt it. But I I've gotten there's been the life

0:30:40.520 --> 0:30:43.400
<v Speaker 1>is a little bit different in some of those dimensions

0:30:43.400 --> 0:30:45.560
<v Speaker 1>than than it was maybe five years ago. It is

0:30:45.600 --> 0:30:47.760
<v Speaker 1>time for the drive for the clothes. Let's check in

0:30:47.800 --> 0:30:50.280
<v Speaker 1>with Brad McMillan. He is the Chief Investment Officer, Managing

0:30:50.280 --> 0:30:56.600
<v Speaker 1>Principle for Commonwealth Financial Network. Johnny's on the phone from Waltham, Massachusetts. Brad,

0:30:56.840 --> 0:31:00.440
<v Speaker 1>how is life in lovely New England. It's a nice

0:31:00.440 --> 0:31:03.960
<v Speaker 1>time of year, right, this is the time to live

0:31:04.000 --> 0:31:06.760
<v Speaker 1>in New England. The sun is out, the trees are changing.

0:31:07.440 --> 0:31:10.400
<v Speaker 1>From a from a weather perspective, life is good, yeah,

0:31:10.440 --> 0:31:13.840
<v Speaker 1>But otherwise things are a little topsy turvy. They remain

0:31:14.000 --> 0:31:15.680
<v Speaker 1>so I feel like, you know, we talked to you

0:31:16.040 --> 0:31:19.560
<v Speaker 1>a month or two ago, and what's different now. I mean,

0:31:19.560 --> 0:31:22.440
<v Speaker 1>we're much closer to an election which seems to be

0:31:22.760 --> 0:31:26.160
<v Speaker 1>very much friend of mine for investors. Um we have

0:31:26.240 --> 0:31:28.200
<v Speaker 1>a back and forth and back and forth and back

0:31:28.240 --> 0:31:30.880
<v Speaker 1>and forth on stimulus, which certainly is top of mind

0:31:30.920 --> 0:31:34.760
<v Speaker 1>as well. What's top of mind for you. I'm watching

0:31:34.760 --> 0:31:37.520
<v Speaker 1>a couple of things. I'm watching the pandemic. I mean,

0:31:37.640 --> 0:31:41.320
<v Speaker 1>we've seen, we saw things get better, get worse, get better,

0:31:41.800 --> 0:31:44.240
<v Speaker 1>and now they're getting worse again and the risks are rising.

0:31:44.960 --> 0:31:48.280
<v Speaker 1>And obviously we've got the risk coming up with the election.

0:31:48.320 --> 0:31:53.000
<v Speaker 1>There's some real concerns there, and we're looking at the

0:31:53.040 --> 0:31:57.760
<v Speaker 1>economic recovery start to slow down. And what's perverse about

0:31:57.760 --> 0:32:00.680
<v Speaker 1>all this is the market is pretty much kept moving up.

0:32:01.200 --> 0:32:03.360
<v Speaker 1>And what I've come to the conclusion is the worst

0:32:03.360 --> 0:32:06.280
<v Speaker 1>things get, the better they are for the market. Because

0:32:06.520 --> 0:32:09.840
<v Speaker 1>investors are now thinking about the stimulus. It's kind of

0:32:09.880 --> 0:32:11.960
<v Speaker 1>like when bad news was good news because it meant

0:32:11.960 --> 0:32:14.440
<v Speaker 1>that that was going to cut rates. I think we

0:32:14.480 --> 0:32:18.520
<v Speaker 1>have the same kind of anticipated policy rally now that

0:32:18.600 --> 0:32:22.320
<v Speaker 1>we saw then. Hm. So what do you do right

0:32:22.320 --> 0:32:26.640
<v Speaker 1>now as an investor? What's your advice to investors? Well,

0:32:26.640 --> 0:32:29.160
<v Speaker 1>it depends. I mean, if you're an older person or

0:32:29.160 --> 0:32:30.800
<v Speaker 1>somebody who's going to need the money in the next

0:32:30.800 --> 0:32:33.240
<v Speaker 1>couple of years, maybe now is the time to start

0:32:33.280 --> 0:32:36.959
<v Speaker 1>thinking a little bit more cautiously. What's what's older nowadays?

0:32:37.200 --> 0:32:39.720
<v Speaker 1>I am curious about that too, because I think, no, seriously,

0:32:39.760 --> 0:32:43.080
<v Speaker 1>I mean, people are working a lot longer, um, some

0:32:43.160 --> 0:32:45.160
<v Speaker 1>because I have to, some because they want to, and

0:32:45.280 --> 0:32:47.880
<v Speaker 1>can um. And I just do wonder what you know,

0:32:48.040 --> 0:32:51.920
<v Speaker 1>the old formulas about asset allocation and age. I do

0:32:52.000 --> 0:32:56.480
<v Speaker 1>wonder what's different nowadays? Well, I'm fifty five, So from

0:32:56.520 --> 0:32:58.720
<v Speaker 1>my perspective, I'm going to be working at least another

0:32:58.760 --> 0:33:01.280
<v Speaker 1>ten years. I don't really consider myself to be an

0:33:01.360 --> 0:33:04.440
<v Speaker 1>older investor, But if I was really looking to retire

0:33:04.440 --> 0:33:06.880
<v Speaker 1>in the next five years or so, that's when I

0:33:06.960 --> 0:33:09.479
<v Speaker 1>might start to think of myself in the quote older

0:33:09.560 --> 0:33:13.720
<v Speaker 1>unquote context as an investor, I'd start paying more attention

0:33:13.760 --> 0:33:18.080
<v Speaker 1>to avoiding losses than maximizing gains. I think that's probably

0:33:18.080 --> 0:33:20.320
<v Speaker 1>the best way to think about it. Are you looking

0:33:20.360 --> 0:33:22.800
<v Speaker 1>to maximize your gains? Are you at the point where

0:33:22.840 --> 0:33:25.520
<v Speaker 1>you're really looking to make sure you don't lose too much?

0:33:25.640 --> 0:33:30.000
<v Speaker 1>That's where you get older from an investment standpoint, Brad,

0:33:30.040 --> 0:33:32.080
<v Speaker 1>what do you think about the election as it plays

0:33:32.080 --> 0:33:35.520
<v Speaker 1>into an investment thesis at this point? Because I feel

0:33:35.560 --> 0:33:40.520
<v Speaker 1>like in past uh times and the before times as

0:33:40.520 --> 0:33:42.800
<v Speaker 1>it were, you know, we're looking at it. Actually, Hey, okay,

0:33:42.880 --> 0:33:45.280
<v Speaker 1>election is gonna happen. We're gonna know who the president is,

0:33:45.600 --> 0:33:49.360
<v Speaker 1>you know, within maybe a few hours, certainly a day

0:33:49.520 --> 0:33:51.920
<v Speaker 1>or in the case of two thousand, a couple of weeks,

0:33:52.200 --> 0:33:55.840
<v Speaker 1>a few weeks. But it feels like there isn't that

0:33:55.960 --> 0:33:59.480
<v Speaker 1>certainty for people right now. Does it change the way

0:33:59.520 --> 0:34:01.920
<v Speaker 1>you invest at all, or do you just kind of

0:34:02.200 --> 0:34:05.800
<v Speaker 1>hang on tight. It shouldn't it shouldn't change it the

0:34:05.880 --> 0:34:08.520
<v Speaker 1>doll And the reason I say that is, you're right,

0:34:08.840 --> 0:34:11.080
<v Speaker 1>we're going to see a lot of volatility. Markets are

0:34:11.120 --> 0:34:14.000
<v Speaker 1>expecting November to be pretty toughed, and you know, I

0:34:14.040 --> 0:34:16.239
<v Speaker 1>agree with that, and it might well extend beyond that.

0:34:16.880 --> 0:34:19.920
<v Speaker 1>But are we going to be thinking about that next

0:34:20.000 --> 0:34:24.359
<v Speaker 1>year at this time? I don't think so. Yeah, exactly.

0:34:24.960 --> 0:34:27.400
<v Speaker 1>So you know, it's it's like, even if it's a

0:34:27.480 --> 0:34:30.840
<v Speaker 1>monumental disaster, and I'm not saying it will be, it

0:34:30.920 --> 0:34:36.080
<v Speaker 1>will pass. You know, as of inauguration day, the existing

0:34:36.160 --> 0:34:40.160
<v Speaker 1>president will leave office and the new president will be inaugurated.

0:34:40.520 --> 0:34:42.920
<v Speaker 1>We don't know who that is. Their procedures in place,

0:34:43.000 --> 0:34:46.560
<v Speaker 1>and we'll get through it. It's gonna be ugly, quite possibly,

0:34:46.680 --> 0:34:50.640
<v Speaker 1>but this tool will pass. Yeah. You know, listen, you know,

0:34:50.719 --> 0:34:53.520
<v Speaker 1>we know good perspective. We will get through these things.

0:34:53.520 --> 0:34:55.920
<v Speaker 1>We've gotten through tough things before. We certainly will get

0:34:55.960 --> 0:34:57.480
<v Speaker 1>on the other side of this. The one thing I

0:34:57.520 --> 0:35:00.120
<v Speaker 1>do wonder that when we do get on the other

0:35:00.200 --> 0:35:04.560
<v Speaker 1>side of it, these systemic problems, these gaps within our society,

0:35:04.600 --> 0:35:06.480
<v Speaker 1>you know, we talk a lot about wealth creation, and

0:35:06.920 --> 0:35:08.960
<v Speaker 1>we had a great story, you know, by our shandon

0:35:09.120 --> 0:35:13.560
<v Speaker 1>and troubling story you know in Cleveland, you know Ohio

0:35:13.719 --> 0:35:16.919
<v Speaker 1>about you know, depending on where you are, you're either

0:35:16.960 --> 0:35:19.319
<v Speaker 1>doing really well and and and or you're not. And

0:35:19.360 --> 0:35:22.160
<v Speaker 1>it tends to be minorities who are not. They can't

0:35:22.200 --> 0:35:25.480
<v Speaker 1>own property, they just don't have the wealth to do it. Uh.

0:35:25.480 --> 0:35:27.480
<v Speaker 1>And it really tells kind of that bigger, broader story

0:35:27.480 --> 0:35:30.000
<v Speaker 1>in the country. I bring this up because, Brad, I mean,

0:35:30.160 --> 0:35:36.120
<v Speaker 1>ultimately the economy, society as a whole benefits when everybody benefits.

0:35:36.160 --> 0:35:38.360
<v Speaker 1>I mean, I think about what you do right, the

0:35:38.400 --> 0:35:40.239
<v Speaker 1>more people who are in the markets or who need

0:35:40.280 --> 0:35:43.520
<v Speaker 1>financial advice, that's good for you guys longer terms. So

0:35:43.600 --> 0:35:46.239
<v Speaker 1>I do wonder how you think about that, how you

0:35:46.280 --> 0:35:48.320
<v Speaker 1>think about how what we need to do to improve

0:35:48.320 --> 0:35:50.600
<v Speaker 1>it so that there are more people that are able

0:35:50.600 --> 0:35:52.600
<v Speaker 1>to actually create wealth in this country and that it's

0:35:52.600 --> 0:35:57.160
<v Speaker 1>not just concentrated in a few hands. Totally agree, Cal

0:35:57.360 --> 0:35:59.480
<v Speaker 1>And if you look at it as a citizen, I

0:35:59.480 --> 0:36:02.440
<v Speaker 1>could make with you more is an economist, I also

0:36:02.520 --> 0:36:05.239
<v Speaker 1>agree with you because the truth of the matter is

0:36:05.360 --> 0:36:09.680
<v Speaker 1>the most economically healthy society is we're purchasing power, the

0:36:09.719 --> 0:36:13.440
<v Speaker 1>ability to spend and invest is spread the most widely,

0:36:14.239 --> 0:36:16.799
<v Speaker 1>so it's in white and self interest to say this

0:36:16.840 --> 0:36:19.880
<v Speaker 1>is a problem we have to solve. And the political

0:36:19.960 --> 0:36:24.080
<v Speaker 1>system you can see, you know, we get these generational shifts,

0:36:24.080 --> 0:36:28.000
<v Speaker 1>and my guests would be this election or the next one,

0:36:28.080 --> 0:36:30.040
<v Speaker 1>we will start to do exactly that. We're going to

0:36:30.120 --> 0:36:34.680
<v Speaker 1>see a focus on younger people, less affluent people. You know,

0:36:34.719 --> 0:36:37.359
<v Speaker 1>I think the tax structure will probably is eventually look

0:36:37.440 --> 0:36:40.080
<v Speaker 1>more like it did in the nineteen fifties. You know,

0:36:40.160 --> 0:36:42.080
<v Speaker 1>the labor laws were looking more like they did in

0:36:42.160 --> 0:36:45.920
<v Speaker 1>the nineteen fifties. We've we've had more equal society. We

0:36:45.920 --> 0:36:49.040
<v Speaker 1>can do it again. That's a really interesting point. That's

0:36:49.040 --> 0:36:51.600
<v Speaker 1>a really interesting point. All right, Brad McMillan, thank you

0:36:51.640 --> 0:36:53.520
<v Speaker 1>so much. Nice to catch up with you, always so thoughtful,

0:36:53.600 --> 0:36:58.000
<v Speaker 1>Chief Investment Officer, Managing Principle at Commonwealth Financial Network. Journeys

0:36:58.040 --> 0:37:00.040
<v Speaker 1>on the phone from Waltham and a programming net for

0:37:00.080 --> 0:37:02.279
<v Speaker 1>all of our listeners. Jason Kelly, my partner and crime

0:37:02.320 --> 0:37:05.359
<v Speaker 1>my co host here at Bloomberg Business Week. He is

0:37:05.880 --> 0:37:08.920
<v Speaker 1>leaving our family, but not really leaving the Bloomberg family.

0:37:09.239 --> 0:37:11.560
<v Speaker 1>That's exactly right, Carol. I am headed over to be

0:37:11.600 --> 0:37:14.920
<v Speaker 1>the chief correspondent for Quick Take. It is our over

0:37:14.960 --> 0:37:18.360
<v Speaker 1>the top network, launching on November nine, so I'll still

0:37:18.400 --> 0:37:21.799
<v Speaker 1>be around and I won't go too far. But it

0:37:21.840 --> 0:37:24.120
<v Speaker 1>has been a massive pleasure working on the show and

0:37:24.160 --> 0:37:27.440
<v Speaker 1>working on this podcast. We're so humbled. I think it's

0:37:27.440 --> 0:37:30.160
<v Speaker 1>fair to say, Carol, by all the listeners support that

0:37:30.200 --> 0:37:32.960
<v Speaker 1>we've gotten the fun conversations we've gotten to have, and

0:37:33.040 --> 0:37:36.000
<v Speaker 1>I know you will continue to do that better and

0:37:36.000 --> 0:37:38.560
<v Speaker 1>better and better going forward. We love our audience and

0:37:38.600 --> 0:37:40.440
<v Speaker 1>they have really shaped who we want to talk to

0:37:40.520 --> 0:37:42.239
<v Speaker 1>and who we bring in, so we thank you so

0:37:42.320 --> 0:37:44.560
<v Speaker 1>much for that. And Jason, I can't even tell you

0:37:44.600 --> 0:37:47.160
<v Speaker 1>how much I will miss you. Um. I think you

0:37:47.280 --> 0:37:51.200
<v Speaker 1>know though, UM. For everybody else our podcast audience, we'll

0:37:51.200 --> 0:37:52.239
<v Speaker 1>see you here next week.