1 00:00:01,400 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along 2 00:00:04,120 --> 00:00:06,200 Speaker 1: with my co host of Bonnie Quinn. Every business day 3 00:00:06,240 --> 00:00:10,360 Speaker 1: we bring you interviews from CEOs, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,600 Speaker 1: along with essential market moving news. Find the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple podcast or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:19,840 Speaker 1: and on Bloomberg dot com. Well, it's been a head 7 00:00:19,840 --> 00:00:22,960 Speaker 1: scratcher from the start. Firstly, imperative was to get workers 8 00:00:22,960 --> 00:00:26,960 Speaker 1: to work from safe places, their homes preferably. Then it 9 00:00:27,080 --> 00:00:29,360 Speaker 1: was clear this wouldn't be a short term phenomenon, so 10 00:00:29,440 --> 00:00:32,479 Speaker 1: some workers wanted to swap out those homes for other homes, 11 00:00:32,520 --> 00:00:36,159 Speaker 1: maybe even other states. But what do the companies do 12 00:00:36,240 --> 00:00:38,519 Speaker 1: those that are still paying rent for those employees at 13 00:00:38,560 --> 00:00:41,840 Speaker 1: work spaces. Well, Noah bu Hire is real estate reporter 14 00:00:41,880 --> 00:00:43,680 Speaker 1: for Bloomberg News. He has the cover story of the 15 00:00:43,720 --> 00:00:47,400 Speaker 1: new issue of Bloomberg Business Week magazine and it's called 16 00:00:47,640 --> 00:00:50,080 Speaker 1: the Work from Home Boom is here to stay. Get 17 00:00:50,080 --> 00:00:53,199 Speaker 1: ready for pay cuts. No, it's a great story. Talk 18 00:00:53,280 --> 00:00:55,720 Speaker 1: to us about the decisions that companies are having to 19 00:00:55,840 --> 00:00:58,680 Speaker 1: make now nine months into this pandemic, with no end 20 00:00:58,680 --> 00:01:05,520 Speaker 1: in sight and the possibility of a very changing geographic workforce. Yeah, 21 00:01:05,560 --> 00:01:07,360 Speaker 1: thanks for having me on. I I think it's a 22 00:01:07,440 --> 00:01:10,200 Speaker 1: it's a really interesting question and and a lot of 23 00:01:10,240 --> 00:01:12,199 Speaker 1: this has been evolving over the course of this year's 24 00:01:12,200 --> 00:01:18,120 Speaker 1: Companies have have realized that UM workers, their employees can 25 00:01:18,160 --> 00:01:21,800 Speaker 1: be quite productive at home. They're they're certainly drawbacks and 26 00:01:21,840 --> 00:01:24,280 Speaker 1: I think we're starting to see that. So what companies 27 00:01:24,280 --> 00:01:26,160 Speaker 1: are are are starting to do is come up with 28 00:01:26,280 --> 00:01:30,399 Speaker 1: policies UM that imagine, you know, what the rules of 29 00:01:30,400 --> 00:01:33,120 Speaker 1: the road are going to be when UM, when offices 30 00:01:33,200 --> 00:01:36,880 Speaker 1: can be reopened safely? You know, do you have everyone 31 00:01:37,000 --> 00:01:40,319 Speaker 1: come back UM every day of the week. Are they 32 00:01:40,520 --> 00:01:43,800 Speaker 1: doing more hybrid schedules coming in a few days a week? UM? 33 00:01:43,840 --> 00:01:46,920 Speaker 1: And to what extent do you allow workers who want 34 00:01:47,000 --> 00:01:51,240 Speaker 1: to UM just to move somewhere in in entirely different UM. 35 00:01:51,240 --> 00:01:53,680 Speaker 1: Maybe it's a small town, maybe it's closer to family, 36 00:01:54,280 --> 00:01:57,440 Speaker 1: but somewhere that's not so close to the office. Well, 37 00:01:57,560 --> 00:02:00,520 Speaker 1: there's this new little phrase that's coming in and something 38 00:02:00,560 --> 00:02:02,000 Speaker 1: tells me that we're all going to be using it 39 00:02:02,120 --> 00:02:07,360 Speaker 1: very soon, called localized compensation. What is that? Well, it's 40 00:02:07,440 --> 00:02:09,840 Speaker 1: it's just it's an idea that's been around and been 41 00:02:09,840 --> 00:02:12,720 Speaker 1: in practice for for a long time. I mean, companies, 42 00:02:12,760 --> 00:02:16,440 Speaker 1: even the federal government paid different wages for the same 43 00:02:16,480 --> 00:02:19,119 Speaker 1: work in different places. And and it's just a reality 44 00:02:19,200 --> 00:02:21,239 Speaker 1: that the cost of labor and the cost of living 45 00:02:21,919 --> 00:02:26,680 Speaker 1: very um widely across the US. And as a result, 46 00:02:26,960 --> 00:02:31,359 Speaker 1: UM companies try and pay in accordance with local labor 47 00:02:31,400 --> 00:02:35,640 Speaker 1: market conditions and with you know, something that would allow 48 00:02:35,680 --> 00:02:39,480 Speaker 1: their workers, um, if they're you know, professional to live 49 00:02:39,520 --> 00:02:42,720 Speaker 1: a sort of what we consider a professional lifestyle and 50 00:02:42,760 --> 00:02:46,800 Speaker 1: fill in the blank city and um, you know, there's 51 00:02:46,880 --> 00:02:49,480 Speaker 1: data out there, and companies use this data. But now 52 00:02:49,520 --> 00:02:52,840 Speaker 1: they're having to think about, well, how do we um 53 00:02:53,000 --> 00:02:57,280 Speaker 1: pay people who make these voluntary moves to places where 54 00:02:57,280 --> 00:02:59,280 Speaker 1: we may not have an offer? Right, Because if some 55 00:02:59,400 --> 00:03:02,080 Speaker 1: of what you're pay is based on is the city 56 00:03:02,160 --> 00:03:04,800 Speaker 1: that your headquarters is in. You can imagine how companies 57 00:03:04,800 --> 00:03:06,800 Speaker 1: would feel a little odd if if cuddenly you went 58 00:03:06,840 --> 00:03:08,320 Speaker 1: to a place where the cost of living was half 59 00:03:08,320 --> 00:03:10,120 Speaker 1: the price or what have you. There's gonna be a 60 00:03:10,160 --> 00:03:13,040 Speaker 1: lot of litigation about this though, right. I mean, workers 61 00:03:13,040 --> 00:03:16,120 Speaker 1: are going to make the case that there is them, 62 00:03:16,160 --> 00:03:18,640 Speaker 1: whether they're in New York City or San Francisco or 63 00:03:18,680 --> 00:03:23,320 Speaker 1: Montana you know, I think there are a lot of 64 00:03:23,320 --> 00:03:25,680 Speaker 1: strong feelings about this. I don't know if there's going 65 00:03:25,720 --> 00:03:28,320 Speaker 1: to be litigation per se. I mean, this is something 66 00:03:28,360 --> 00:03:30,040 Speaker 1: that's been around for a while, and I think a 67 00:03:30,040 --> 00:03:32,320 Speaker 1: lot of people who have made these moves, including some 68 00:03:32,400 --> 00:03:35,240 Speaker 1: of the employees I interviewed from my story, get that 69 00:03:35,480 --> 00:03:37,520 Speaker 1: if you're living in a place that's cheaper to live, 70 00:03:37,960 --> 00:03:42,400 Speaker 1: it's there, um in a way to be paid less, 71 00:03:42,520 --> 00:03:47,520 Speaker 1: and that in many cases um companies are still paying you, 72 00:03:47,840 --> 00:03:52,160 Speaker 1: uh so that you can afford a similar lifestyle or 73 00:03:52,200 --> 00:03:54,880 Speaker 1: even a better lifestyle in the place you've chosen to relocate. 74 00:03:55,720 --> 00:03:58,640 Speaker 1: I mean, how much is a company entitled to know 75 00:03:58,800 --> 00:04:00,600 Speaker 1: if you if you move back in to your parents, 76 00:04:00,680 --> 00:04:02,920 Speaker 1: for example, and you're not paying any rent, you're not 77 00:04:02,960 --> 00:04:05,800 Speaker 1: paying any utilities, or you're just giving your parents. I mean, 78 00:04:06,000 --> 00:04:09,560 Speaker 1: is that something a company is entitled to take into account? 79 00:04:10,240 --> 00:04:13,920 Speaker 1: Imagine say those parents who are in a city. Yeah. Yeah, 80 00:04:14,040 --> 00:04:15,680 Speaker 1: I mean, look, I don't I don't think there's any 81 00:04:15,720 --> 00:04:17,920 Speaker 1: evidence that that's how these policies are being rolled out 82 00:04:17,920 --> 00:04:20,039 Speaker 1: in In fact, I mean that sounds like more of 83 00:04:20,040 --> 00:04:23,000 Speaker 1: a temporary arrangement. And the company I've profiled, Red Finn 84 00:04:23,400 --> 00:04:25,960 Speaker 1: you know, explicitly says that these temporary moves that are 85 00:04:26,000 --> 00:04:29,120 Speaker 1: happening during the pandemic, those they're not adjusting pay for 86 00:04:29,120 --> 00:04:31,760 Speaker 1: those people. They're They're talking about folks who are making 87 00:04:32,279 --> 00:04:36,360 Speaker 1: a life decision to say, leave New York and moved 88 00:04:36,400 --> 00:04:38,960 Speaker 1: to Rochester closer to where they have family, and they're 89 00:04:39,000 --> 00:04:41,640 Speaker 1: settling down there. It's these are these are these are 90 00:04:41,680 --> 00:04:45,279 Speaker 1: permanent moves. These are not um, you know, I'm trying 91 00:04:45,320 --> 00:04:48,560 Speaker 1: to keep myself and my family safe during the pandemic. 92 00:04:49,360 --> 00:04:51,400 Speaker 1: I'm going to leave this town. These are These are 93 00:04:51,440 --> 00:04:54,280 Speaker 1: people who are making long term decisions. Yeah, it's going 94 00:04:54,320 --> 00:04:57,120 Speaker 1: to be so interesting to see what human resource departments 95 00:04:57,320 --> 00:05:01,320 Speaker 1: do after people are vaccinated. I mean, will they hold 96 00:05:02,560 --> 00:05:05,200 Speaker 1: you know, recruitment events in all sorts of places and 97 00:05:05,240 --> 00:05:08,000 Speaker 1: be quite happy to to take somebody on staff from 98 00:05:08,120 --> 00:05:10,839 Speaker 1: a state that is nowhere near a headquarters or even 99 00:05:10,839 --> 00:05:14,240 Speaker 1: an outpost. It will be interesting to see, Yeah, and 100 00:05:14,279 --> 00:05:17,080 Speaker 1: I think that's what we're seeing. So yeah, yeah, it's 101 00:05:17,080 --> 00:05:19,640 Speaker 1: it's fascinating. It gives the American labor force so much 102 00:05:19,680 --> 00:05:24,040 Speaker 1: more choice and also makes makes the possibility for it 103 00:05:24,200 --> 00:05:26,560 Speaker 1: to be more mobile, right, And that's been one of 104 00:05:26,600 --> 00:05:28,760 Speaker 1: the problems for the American labor force. It's it's not 105 00:05:28,920 --> 00:05:33,039 Speaker 1: as mobile as other labor forces, and you know, going 106 00:05:33,080 --> 00:05:35,919 Speaker 1: across state lines and so on entails all sorts of 107 00:05:35,960 --> 00:05:38,200 Speaker 1: other sort of tax rules and so on. So see 108 00:05:38,200 --> 00:05:40,040 Speaker 1: how that all plays out. But no, I do want 109 00:05:40,040 --> 00:05:43,440 Speaker 1: to ask you though, um banks. For example, you know, 110 00:05:43,839 --> 00:05:46,720 Speaker 1: there are certain banks that are talking about increasing bonuses 111 00:05:46,800 --> 00:05:49,200 Speaker 1: for some of their star staff this year. And it's 112 00:05:49,200 --> 00:05:51,280 Speaker 1: not just the banks. So on the one hand, we're 113 00:05:51,279 --> 00:05:54,960 Speaker 1: seeing them try to cut costs, maybe close headquarters, close 114 00:05:55,360 --> 00:05:57,719 Speaker 1: some of their office buildings and so on. But they're 115 00:05:57,800 --> 00:06:02,960 Speaker 1: not docking pay or reducing pay for their such star stuff, 116 00:06:03,000 --> 00:06:07,000 Speaker 1: are they. No? I mean, look that that that seems 117 00:06:07,040 --> 00:06:09,880 Speaker 1: to be the evidence that that our colleagues here Bloomberger 118 00:06:10,480 --> 00:06:15,000 Speaker 1: are reporting um. But look what what my story is 119 00:06:15,000 --> 00:06:17,599 Speaker 1: really about or is a long term shift and how 120 00:06:17,600 --> 00:06:19,760 Speaker 1: companies are thinking about this and for all those star 121 00:06:19,839 --> 00:06:23,000 Speaker 1: traders who maybe getting bigger bonuses. I think we're seeing 122 00:06:23,000 --> 00:06:26,720 Speaker 1: some early indications that Wall Street firms are looking at 123 00:06:26,760 --> 00:06:29,000 Speaker 1: what positions don't have to be in New York and 124 00:06:29,320 --> 00:06:32,120 Speaker 1: what they can move to lower cost places, and and 125 00:06:32,120 --> 00:06:35,000 Speaker 1: and frankly, some of some of their back office staff. 126 00:06:35,160 --> 00:06:37,080 Speaker 1: Some of their staff might find that they can lead 127 00:06:37,120 --> 00:06:39,440 Speaker 1: better lives if if they can live in you know, 128 00:06:39,480 --> 00:06:42,200 Speaker 1: say Nashville or Dallas, than than having to live in 129 00:06:42,240 --> 00:06:45,680 Speaker 1: the New York City metro area where costs are significantly higher. Right, 130 00:06:45,880 --> 00:06:47,720 Speaker 1: and sometimes it takes almost as long to get into 131 00:06:47,760 --> 00:06:51,040 Speaker 1: the city from the likes of Brooklyn. Just getting Noah, 132 00:06:51,200 --> 00:06:53,680 Speaker 1: thank you. There is room for just a little levity 133 00:06:53,760 --> 00:06:56,280 Speaker 1: here as well. Noah bue Hire, real estate reporter with 134 00:06:56,279 --> 00:06:59,479 Speaker 1: Bloomberg News, has been doing a lot of research on 135 00:06:59,520 --> 00:07:01,680 Speaker 1: this on the work from home boom and what it 136 00:07:01,720 --> 00:07:03,680 Speaker 1: really means for the workforce of the future here in 137 00:07:03,720 --> 00:07:06,160 Speaker 1: the United States, So do check out his story. It 138 00:07:06,279 --> 00:07:08,640 Speaker 1: is the cover of the new issue of Bloomberg Business 139 00:07:08,680 --> 00:07:12,640 Speaker 1: Week magazine, available now on newsstands and at Bloomberg dot com. 140 00:07:12,680 --> 00:07:15,800 Speaker 1: And they're always great reads, great graphics, and a great 141 00:07:15,840 --> 00:07:19,000 Speaker 1: pictorials associated with these cover stories, so this one is 142 00:07:19,320 --> 00:07:21,640 Speaker 1: no different. I really are due to check it out. 143 00:07:22,640 --> 00:07:26,080 Speaker 1: So that does it for this week for Bloomberg Markets 144 00:07:26,520 --> 00:07:29,320 Speaker 1: ten to twelve show. Do stay tuned. Balance of Power 145 00:07:29,440 --> 00:07:31,080 Speaker 1: is next and we'll bring you up to date on 146 00:07:31,240 --> 00:07:34,320 Speaker 1: stimulus talks and what's going on in Washington. D c 147 00:07:34,720 --> 00:07:38,480 Speaker 1: and as four markets. Right now, the SME five hundred 148 00:07:38,520 --> 00:07:40,560 Speaker 1: is down more than half percent, so is the Dow 149 00:07:40,640 --> 00:07:44,040 Speaker 1: Jones Industrial Average NAZAC is down, but not by as much, 150 00:07:44,160 --> 00:07:46,560 Speaker 1: done by a quarter of a percent or so. We 151 00:07:46,600 --> 00:07:49,040 Speaker 1: have the VIX at twenty three, the Dollar index just 152 00:07:49,240 --> 00:07:52,800 Speaker 1: inching above ninety once again. And for those of your 153 00:07:52,880 --> 00:07:55,040 Speaker 1: keeping track of Brexit, there's still a couple of days 154 00:07:55,120 --> 00:07:58,120 Speaker 1: left for a potential deal Sunday night is it's if 155 00:07:58,160 --> 00:07:59,840 Speaker 1: it wants to get ratified by all the twenty seven 156 00:08:00,000 --> 00:08:03,400 Speaker 1: countries before the end of the year. Right now, the 157 00:08:03,480 --> 00:08:05,400 Speaker 1: British pound has come off about three tenths of a 158 00:08:05,480 --> 00:08:11,600 Speaker 1: percent versus the euro training at one ten. The Conference 159 00:08:11,640 --> 00:08:14,880 Speaker 1: Board leading Index of Economic Indicators came in better than 160 00:08:14,920 --> 00:08:19,040 Speaker 1: forecast in November at point six. Economists, we're looking forward 161 00:08:19,080 --> 00:08:21,240 Speaker 1: to show a point five reading. Not only that, but 162 00:08:21,280 --> 00:08:25,680 Speaker 1: the October data was revised better as well, the overall 163 00:08:25,800 --> 00:08:29,520 Speaker 1: index coming in at positive point eight in October when 164 00:08:29,600 --> 00:08:32,280 Speaker 1: the original reading was positive points seven. Let's bring in 165 00:08:32,320 --> 00:08:34,160 Speaker 1: somebody who knows a lot about what's going on underneath 166 00:08:34,160 --> 00:08:36,640 Speaker 1: the surface here, and that is Dana Peterson, chief economist 167 00:08:36,720 --> 00:08:40,800 Speaker 1: for the Conference Board. Dana, what is actually leading the 168 00:08:40,880 --> 00:08:46,640 Speaker 1: leading index. Sure absolutely when we look at the details here, 169 00:08:46,760 --> 00:08:50,880 Speaker 1: there's been a surprisingly a lot of very positive contribution 170 00:08:51,080 --> 00:08:55,280 Speaker 1: from jobless claims, which added two tenths of a percentage 171 00:08:55,280 --> 00:08:59,040 Speaker 1: point to the overall six tenths increase UM. Also, I 172 00:08:59,240 --> 00:09:02,160 Speaker 1: S M. New words continue to be strong, as well 173 00:09:02,200 --> 00:09:06,520 Speaker 1: as contributions from building permits and stock prices. So some 174 00:09:06,600 --> 00:09:09,520 Speaker 1: of these areas are not at all surprising. Uh. Certainly, 175 00:09:09,960 --> 00:09:14,360 Speaker 1: we know that manufacturing uh uh new orders have been 176 00:09:14,400 --> 00:09:19,439 Speaker 1: improving with improving trade globally, and also as many businesses, 177 00:09:19,640 --> 00:09:23,520 Speaker 1: factories can affect social distancing. We also know that construction, 178 00:09:23,600 --> 00:09:26,319 Speaker 1: residential construction has just been booming. It's on fire in 179 00:09:26,360 --> 00:09:29,240 Speaker 1: the US, and so it makes absolute sense that permits 180 00:09:29,240 --> 00:09:32,920 Speaker 1: have been um very positive contributors. And finally, when we 181 00:09:32,920 --> 00:09:36,760 Speaker 1: look at stock prices, indeed, the text sector healthcare stocks 182 00:09:37,280 --> 00:09:40,080 Speaker 1: UM also to a certain degree, financial stocks UM have 183 00:09:40,200 --> 00:09:42,880 Speaker 1: been driving gained and so all those things are being 184 00:09:42,920 --> 00:09:47,840 Speaker 1: reflected in the overall measure. So the leading index, you know, 185 00:09:47,880 --> 00:09:52,520 Speaker 1: rebounded quite quickly and was extraordinarily positive. At one point 186 00:09:52,600 --> 00:09:55,280 Speaker 1: it was you know, above two, as close to three, 187 00:09:55,480 --> 00:09:57,520 Speaker 1: and now we're sort of coming back down to earth 188 00:09:58,120 --> 00:10:01,240 Speaker 1: at what point will it start to concern you in 189 00:10:01,320 --> 00:10:04,600 Speaker 1: terms of the reading for the leading in next I mean, 190 00:10:04,640 --> 00:10:07,520 Speaker 1: we're already a little bit concerned by the fact that 191 00:10:07,640 --> 00:10:10,720 Speaker 1: you know, with each even though each month shown a 192 00:10:10,800 --> 00:10:14,960 Speaker 1: positive reading, it's smaller. And so that suggests that we did, 193 00:10:15,520 --> 00:10:18,880 Speaker 1: uh see a deceleration and growth heading into the last 194 00:10:18,920 --> 00:10:22,240 Speaker 1: quarter of this year, and that potentially the first quarter 195 00:10:22,240 --> 00:10:24,800 Speaker 1: of next year we might see a soft patch. Um. 196 00:10:24,920 --> 00:10:28,440 Speaker 1: Certainly we've also seen uh this behavior reflected you know, 197 00:10:28,480 --> 00:10:32,440 Speaker 1: more retroactively, of course, but in the jobs data, as 198 00:10:32,920 --> 00:10:35,760 Speaker 1: payroll gains have been smaller and smaller and the unemployment 199 00:10:35,840 --> 00:10:39,800 Speaker 1: rate is falling at a more glacial paste. Um. So 200 00:10:39,840 --> 00:10:42,720 Speaker 1: we are keeping watching this and you know, seeing whether 201 00:10:42,760 --> 00:10:45,360 Speaker 1: or not there's going to be a second dip in 202 00:10:45,480 --> 00:10:49,480 Speaker 1: our leading index and also our concurrent uh leading in 203 00:10:50,000 --> 00:10:55,120 Speaker 1: concurrent measures of activity. Dana, what is the conference forwards 204 00:10:55,280 --> 00:11:00,679 Speaker 1: current outlook for inflation next year? Yes, well, we have 205 00:11:00,720 --> 00:11:06,280 Speaker 1: inflation rising a little bit, um but staying beneath you persent, uh, 206 00:11:06,280 --> 00:11:09,960 Speaker 1: and really that's going to be a reflection of you know, 207 00:11:10,000 --> 00:11:15,320 Speaker 1: basis effects from very weak inflation this year twenty but 208 00:11:15,400 --> 00:11:20,080 Speaker 1: also a rotation of consumption. You know, a little less 209 00:11:20,080 --> 00:11:23,320 Speaker 1: spending on goods, more spending on services, um, where you 210 00:11:23,320 --> 00:11:26,360 Speaker 1: could see a little bit of inflation there um, But 211 00:11:26,559 --> 00:11:30,560 Speaker 1: all on all pretty modest inflation outlook, so not too 212 00:11:30,640 --> 00:11:34,320 Speaker 1: much concern there. There are some economist, I suppose, trying 213 00:11:34,360 --> 00:11:37,240 Speaker 1: to sound an alarm on that. Dana, you also did 214 00:11:37,280 --> 00:11:42,199 Speaker 1: a really phenomenal study into the impact of the pandemic 215 00:11:42,600 --> 00:11:45,920 Speaker 1: on race and also the impact of the pandemic on women, 216 00:11:46,480 --> 00:11:48,920 Speaker 1: and you found something very disconcerting when it comes to 217 00:11:48,920 --> 00:11:53,120 Speaker 1: studying the female labor force. You're actually calling it a 218 00:11:53,120 --> 00:11:55,120 Speaker 1: she session. Can you explain to us some of the 219 00:11:55,160 --> 00:11:59,040 Speaker 1: key findings of that report. Sure. Absolutely. What we've seen 220 00:11:59,160 --> 00:12:01,640 Speaker 1: is that, especially in the US, where we have the 221 00:12:01,679 --> 00:12:05,360 Speaker 1: most complete data, very early on in the pandemic, women 222 00:12:05,440 --> 00:12:09,040 Speaker 1: suffered much deeper job cuts than did men. I mean, 223 00:12:09,080 --> 00:12:11,520 Speaker 1: it was horrific across the board, but it was much 224 00:12:11,559 --> 00:12:13,800 Speaker 1: more cute for women. And a lot has a lot 225 00:12:13,840 --> 00:12:15,920 Speaker 1: of that to do with the fact that women are 226 00:12:15,960 --> 00:12:18,079 Speaker 1: working in many of those sectors that have been very 227 00:12:18,120 --> 00:12:22,560 Speaker 1: negatively impacted by covid UM. But as we saw job 228 00:12:22,600 --> 00:12:25,880 Speaker 1: gains pick up, um, we saw more women exiting the 229 00:12:25,960 --> 00:12:28,439 Speaker 1: labor market, and we believe that's a function number a 230 00:12:28,480 --> 00:12:31,320 Speaker 1: few things. Number one, the fact that you know, there's 231 00:12:31,320 --> 00:12:35,040 Speaker 1: still this childcare crisis in the US that was there 232 00:12:35,080 --> 00:12:38,080 Speaker 1: before the pandemic but has only gotten worse. Um. Many 233 00:12:38,120 --> 00:12:41,000 Speaker 1: times women find themselves that they are tasked with caring 234 00:12:41,040 --> 00:12:43,760 Speaker 1: for older adults. But also many kids are in and 235 00:12:43,760 --> 00:12:49,280 Speaker 1: out of school physically, and so oftentimes the responsibility of 236 00:12:49,559 --> 00:12:52,720 Speaker 1: educating children from home falls on mothers. And so we've 237 00:12:52,720 --> 00:12:56,080 Speaker 1: seen a lot of women exiting the labor market. That's 238 00:12:56,160 --> 00:13:00,400 Speaker 1: very apparent in the payrolls data. Um. Sorry, uh yeah, 239 00:13:00,679 --> 00:13:05,079 Speaker 1: pyroll report, Friday Employment report that comes out where labor 240 00:13:05,120 --> 00:13:09,600 Speaker 1: market participation among women has been falling. Yeah. And as 241 00:13:09,600 --> 00:13:12,120 Speaker 1: you say, even if the job exists, in some cases, 242 00:13:12,200 --> 00:13:14,959 Speaker 1: women have to leave it because they just have responsibilities 243 00:13:14,960 --> 00:13:18,640 Speaker 1: that they can fulfill at home unless they're They're right, Dana, 244 00:13:18,679 --> 00:13:20,760 Speaker 1: how much of this will turn out to be structural 245 00:13:20,800 --> 00:13:24,200 Speaker 1: unemployment for women? Will the female libor force bounce back 246 00:13:24,320 --> 00:13:29,680 Speaker 1: as quickly as as the male labor force. Well, our 247 00:13:29,720 --> 00:13:31,640 Speaker 1: hope is that this will be a blip and that 248 00:13:32,000 --> 00:13:34,719 Speaker 1: female labor force participation as well as male labor force 249 00:13:34,760 --> 00:13:38,880 Speaker 1: participation will bounce back and return to pre coronavirus levels. 250 00:13:38,920 --> 00:13:42,000 Speaker 1: But you know, certainly the longer people are out of 251 00:13:42,080 --> 00:13:44,680 Speaker 1: the labor market, the more difficult it is for them 252 00:13:44,679 --> 00:13:47,640 Speaker 1: to rejoin because of perceptions that you know, either their 253 00:13:47,679 --> 00:13:50,840 Speaker 1: skills of actro feed or they're credit going to be behind. 254 00:13:50,880 --> 00:13:53,439 Speaker 1: So it's going to be very important for employers to 255 00:13:53,640 --> 00:13:58,160 Speaker 1: find ways to encourage flexibility in labor force, in labor 256 00:13:58,160 --> 00:14:01,520 Speaker 1: market activity UM in terms of allowing people to work 257 00:14:01,559 --> 00:14:06,720 Speaker 1: from home, potentially providing on site or near site childcare UM, 258 00:14:06,760 --> 00:14:10,000 Speaker 1: and also reskilling their workers and training to make sure 259 00:14:10,080 --> 00:14:12,880 Speaker 1: workers get back on track UM such that we don't 260 00:14:12,920 --> 00:14:15,679 Speaker 1: have this these permanent losses in the labor market among 261 00:14:15,720 --> 00:14:18,760 Speaker 1: women as well as among men. Dana, we're pretty out 262 00:14:18,760 --> 00:14:21,520 Speaker 1: of time. But what's the GDP forecast from the conference board? 263 00:14:21,560 --> 00:14:26,600 Speaker 1: For one, Yes, we're expecting growth at three point six 264 00:14:26,600 --> 00:14:30,760 Speaker 1: percent next year. Okay, three point six percent not not 265 00:14:30,880 --> 00:14:33,120 Speaker 1: negative girls at least, but we'll need a little bit 266 00:14:33,120 --> 00:14:36,280 Speaker 1: more than that. De bounced back probably from where we're from. Dana, 267 00:14:36,400 --> 00:14:38,600 Speaker 1: thank you so much for joining. That is Dana beats In, 268 00:14:38,640 --> 00:14:42,320 Speaker 1: chief economist with the Conference for there this as the 269 00:14:42,400 --> 00:14:44,640 Speaker 1: leading index comes in a little better than forecast, but 270 00:14:44,720 --> 00:14:50,280 Speaker 1: as Dana said, slowing all the while. This is one 271 00:14:50,280 --> 00:14:55,920 Speaker 1: of the stories that's extremely disconcerting and also filters out slowly, 272 00:14:56,040 --> 00:14:58,480 Speaker 1: such that you don't really know exactly how big or 273 00:14:58,520 --> 00:15:02,240 Speaker 1: important to story it is for a little bit after 274 00:15:02,400 --> 00:15:06,560 Speaker 1: the original announcements. I'm talking about the hacks, the hacks 275 00:15:06,560 --> 00:15:10,040 Speaker 1: that have been filtering out news wise in the middle 276 00:15:10,040 --> 00:15:13,040 Speaker 1: of this week and even more yesterday. Let's bring in 277 00:15:13,120 --> 00:15:15,560 Speaker 1: somebody who's up to date on what it all is 278 00:15:15,720 --> 00:15:18,160 Speaker 1: and how concerned we should be. Car Tike me Rota 279 00:15:18,840 --> 00:15:23,480 Speaker 1: covers security and particularly computer security, cybersecurity and the like 280 00:15:23,600 --> 00:15:26,560 Speaker 1: for Bloomberg News. Cartike bring us up to date on 281 00:15:26,640 --> 00:15:30,880 Speaker 1: exactly who was attacked and how many at hacks there were. Yeah, 282 00:15:31,080 --> 00:15:34,840 Speaker 1: we are still figuring this out. It's been almost a 283 00:15:35,000 --> 00:15:38,760 Speaker 1: week since. Um no, it's been ten days. And excuse me. 284 00:15:38,840 --> 00:15:42,800 Speaker 1: The fire Eye breach was first prepared publicly, and since 285 00:15:42,880 --> 00:15:45,640 Speaker 1: then it's just been a lot of questions and very 286 00:15:45,680 --> 00:15:48,440 Speaker 1: few answers. What we do know is that a handful 287 00:15:48,480 --> 00:15:53,920 Speaker 1: of federal agencies were targeted, including Commerce, Treasury, parts of 288 00:15:54,000 --> 00:15:57,640 Speaker 1: d h um AND, as well as the Department of 289 00:15:57,720 --> 00:16:02,840 Speaker 1: Energy and the Nuclear Administration. UH. These very sophisticated Russian 290 00:16:02,920 --> 00:16:08,680 Speaker 1: attackers have been targeting UM critical infrastructure and entities that 291 00:16:08,800 --> 00:16:13,120 Speaker 1: are of government interest. But exactly who has been targeted 292 00:16:13,520 --> 00:16:16,120 Speaker 1: and the scope of the attack is still up in 293 00:16:16,120 --> 00:16:20,080 Speaker 1: the air. There are, uh, you know, federal investigators, private 294 00:16:20,120 --> 00:16:24,120 Speaker 1: investigators at Microsoft and other incident response companies that are 295 00:16:24,440 --> 00:16:28,200 Speaker 1: you know, pulling apart pieces of this. The scope is massive. 296 00:16:28,600 --> 00:16:34,640 Speaker 1: The company that was breached Older Winds. They provide I 297 00:16:34,800 --> 00:16:38,760 Speaker 1: T solutions largely for the federal government, but also they're 298 00:16:38,800 --> 00:16:41,480 Speaker 1: they're all over the place. They work with UM, but 299 00:16:41,720 --> 00:16:47,240 Speaker 1: financial institutions, telecommunications companies, defense contractors. They're a third party 300 00:16:47,360 --> 00:16:51,720 Speaker 1: that's part of the security supply chain. UM that was 301 00:16:51,760 --> 00:16:56,640 Speaker 1: targeted and using a software update, UM malware was was 302 00:16:56,800 --> 00:17:02,040 Speaker 1: inflicted upon up to eighteen thousand of their clients. Now 303 00:17:02,080 --> 00:17:05,920 Speaker 1: that doesn't mean the eighteen thousand victims exist. These Russian 304 00:17:05,920 --> 00:17:10,080 Speaker 1: attackers are very sophisticated, very meticulous and detailed in the 305 00:17:10,119 --> 00:17:13,240 Speaker 1: way in which they're targeting their victims. So as of 306 00:17:13,359 --> 00:17:18,080 Speaker 1: now we're hearing and there are potentially dozens, maybe up 307 00:17:18,119 --> 00:17:21,800 Speaker 1: to hundreds of victims. So of those seventeen thousand, there 308 00:17:21,840 --> 00:17:25,879 Speaker 1: are about UM forty two two maybe over a hundred 309 00:17:25,960 --> 00:17:29,000 Speaker 1: victims so far, but UM, that number is going to 310 00:17:29,040 --> 00:17:33,360 Speaker 1: go up as time passes. UM. It's it is a 311 00:17:33,400 --> 00:17:36,640 Speaker 1: tedious task trying to figure out if you have been targeted. 312 00:17:36,640 --> 00:17:40,400 Speaker 1: And that's what most companies, most agencies are doing right now. Amazing. 313 00:17:40,480 --> 00:17:45,040 Speaker 1: And it's suspected Russian hackers. Now we don't know what 314 00:17:45,080 --> 00:17:48,000 Speaker 1: they've got, how much of it they have, But assuming 315 00:17:48,040 --> 00:17:50,840 Speaker 1: they have something, will they be able to interpret data, 316 00:17:50,920 --> 00:17:53,879 Speaker 1: will they be able to extract useful information? Or is 317 00:17:53,920 --> 00:17:57,159 Speaker 1: this just data that will be coming in, you know, 318 00:17:57,200 --> 00:18:00,520 Speaker 1: in in megabytes to the Russians and they they'll find 319 00:18:00,520 --> 00:18:03,320 Speaker 1: it difficult to actually do anything with this. Yeah, no, 320 00:18:04,640 --> 00:18:08,560 Speaker 1: they know what they're doing. UM. We don't have evidence 321 00:18:08,560 --> 00:18:14,520 Speaker 1: of acciltration yet, but it's it's obviously a cause for concern. UM. 322 00:18:14,760 --> 00:18:18,159 Speaker 1: You know, when when any adversary has this level of 323 00:18:18,480 --> 00:18:23,080 Speaker 1: unmitigated long term access, which goes back at least to March, 324 00:18:23,200 --> 00:18:26,560 Speaker 1: if not further. UM, surely they will have gotten their 325 00:18:26,600 --> 00:18:31,080 Speaker 1: hands on UM files and data that companies and governments 326 00:18:31,080 --> 00:18:33,320 Speaker 1: of the United States would have preferred they not have 327 00:18:33,400 --> 00:18:36,280 Speaker 1: their hands on. Now, exactly what they have and how 328 00:18:36,320 --> 00:18:40,560 Speaker 1: it will be weaponized is uh still a question that 329 00:18:40,600 --> 00:18:43,520 Speaker 1: we're all trying to answer. But you know, the presumption 330 00:18:43,640 --> 00:18:46,359 Speaker 1: is that they knew what they were looking for, they 331 00:18:46,560 --> 00:18:48,800 Speaker 1: likely got access to at least portions of it. And 332 00:18:48,840 --> 00:18:53,600 Speaker 1: this is intelligence that will feed their UM operations, right. Uh. 333 00:18:53,760 --> 00:18:57,520 Speaker 1: They're geopolitical status, you know, trying to assert Russia as 334 00:18:57,520 --> 00:19:01,239 Speaker 1: a UM, you know, a power on par with with 335 00:19:01,359 --> 00:19:06,760 Speaker 1: other UM economic superpowers, even as that country's economic prowess 336 00:19:06,840 --> 00:19:10,240 Speaker 1: sort of dissipates. This is a tool and a mechanism 337 00:19:10,280 --> 00:19:13,320 Speaker 1: to to show the world that they're still on the 338 00:19:13,119 --> 00:19:16,639 Speaker 1: on the platform. And uh, you know, depending on what 339 00:19:16,680 --> 00:19:19,840 Speaker 1: the intelligence tells them, they could use it for um 340 00:19:20,640 --> 00:19:24,000 Speaker 1: uh for political purposes or otherwise cardigate in a sense, 341 00:19:24,040 --> 00:19:27,280 Speaker 1: the damage has already done. What kind of authorities do 342 00:19:27,560 --> 00:19:30,679 Speaker 1: to try to mitigate the damage or prevent weaponization, as 343 00:19:30,720 --> 00:19:35,520 Speaker 1: you say, including President Trump. Yeah, so you know, companies 344 00:19:35,560 --> 00:19:38,720 Speaker 1: that have been exposed have been directed by the Cybersecurity 345 00:19:38,720 --> 00:19:43,960 Speaker 1: Infrastructure Security Agency to cut off UM any portion of 346 00:19:44,000 --> 00:19:48,040 Speaker 1: their network that has UM the Solar Winds malware and 347 00:19:48,040 --> 00:19:54,000 Speaker 1: and if they can uninstall it altogether. UM at this point, UM, 348 00:19:54,040 --> 00:19:56,960 Speaker 1: so what happened is that when when the malware was 349 00:19:57,040 --> 00:20:02,679 Speaker 1: installed in uh in devices, these uh, these victims had 350 00:20:02,720 --> 00:20:06,080 Speaker 1: to figure out if they were actually then targeted UM 351 00:20:06,119 --> 00:20:10,120 Speaker 1: with an attack, was that malware activated to spread through 352 00:20:10,160 --> 00:20:12,479 Speaker 1: that network and infect it. And so that is what 353 00:20:12,560 --> 00:20:15,680 Speaker 1: investigators are doing right now, and it's a tedious task 354 00:20:15,800 --> 00:20:18,840 Speaker 1: because these attackers have cleaned up their footprints as best 355 00:20:18,880 --> 00:20:22,520 Speaker 1: they can and are are. So it's a manual operation. 356 00:20:22,600 --> 00:20:25,720 Speaker 1: In some cases, they're going through thousands of lines of 357 00:20:25,760 --> 00:20:29,080 Speaker 1: code to see if anything's wrong. UM. The National Security 358 00:20:29,080 --> 00:20:32,320 Speaker 1: Advisor Robert O'Brien cut short and overseas trip earlier this 359 00:20:32,359 --> 00:20:34,840 Speaker 1: week to come back to Washington help manage the crisis. 360 00:20:35,119 --> 00:20:38,320 Speaker 1: That's what the administration is doing right now is sort 361 00:20:38,320 --> 00:20:40,480 Speaker 1: of an all hands on deck situation to figure out 362 00:20:40,480 --> 00:20:42,800 Speaker 1: exactly the scope of the operator. Cartigue, it might be 363 00:20:42,880 --> 00:20:44,920 Speaker 1: up to you to keep us all informed. So thank 364 00:20:44,960 --> 00:20:46,960 Speaker 1: you for all of your work so far. Cartigue. Me 365 00:20:47,160 --> 00:20:50,879 Speaker 1: Rota on the Russian linked solar winds hack do follow 366 00:20:50,960 --> 00:20:55,800 Speaker 1: him all right? Well, we know that Maderna vaccine is 367 00:20:55,840 --> 00:20:59,480 Speaker 1: one backing from FDA advisors that puts it on track 368 00:20:59,560 --> 00:21:01,679 Speaker 1: to be the s con cleared in the US, perhaps 369 00:21:01,720 --> 00:21:04,359 Speaker 1: even as soon as today. For more on this and 370 00:21:04,400 --> 00:21:06,800 Speaker 1: as well the little hiccups that we've been seeing with 371 00:21:06,880 --> 00:21:09,640 Speaker 1: the rollout of the vaccine small though they maybe let's 372 00:21:09,640 --> 00:21:12,760 Speaker 1: bring in Laurences our Associate Professor of Emergency Mendicine, JOHNS 373 00:21:12,760 --> 00:21:17,280 Speaker 1: Hopkins School of Medicine. So, doctor Saur, is there anything 374 00:21:17,320 --> 00:21:19,760 Speaker 1: that you've seen in terms of the little hiccups that 375 00:21:19,800 --> 00:21:24,159 Speaker 1: we that we've heard about, from discarding doses at modern 376 00:21:24,280 --> 00:21:27,480 Speaker 1: after a filtration issue to the idea that you know 377 00:21:27,520 --> 00:21:30,880 Speaker 1: fis are actually had more doses in its vials than 378 00:21:30,920 --> 00:21:36,359 Speaker 1: previously known. Anything that gives you cause for concern. I 379 00:21:36,400 --> 00:21:38,480 Speaker 1: think concern might not be the right word, but I 380 00:21:38,480 --> 00:21:42,199 Speaker 1: think it just demonstrates that the these other elements of 381 00:21:42,440 --> 00:21:45,640 Speaker 1: vaccine distribution are so critically important. Right. It's not just 382 00:21:46,160 --> 00:21:49,280 Speaker 1: UM getting the science behind making the vaccine and testing 383 00:21:49,320 --> 00:21:53,640 Speaker 1: the vaccine, evaluating the vaccines efpacy, but UM the supply chain, 384 00:21:53,760 --> 00:21:57,800 Speaker 1: so ramping up dose production, making sure that the process 385 00:21:57,840 --> 00:22:00,240 Speaker 1: to get it into the hands of vaccinators and before 386 00:22:00,280 --> 00:22:03,760 Speaker 1: getting vaccinated works m making sure that people believe in 387 00:22:03,800 --> 00:22:06,760 Speaker 1: the process and and trust the process enough to get 388 00:22:06,800 --> 00:22:09,920 Speaker 1: the vaccine. All those things are showing how critically important 389 00:22:09,920 --> 00:22:13,879 Speaker 1: they are, and these hiccups are um par for the course. 390 00:22:13,920 --> 00:22:17,119 Speaker 1: In this very short ramp up of production. But I 391 00:22:17,119 --> 00:22:19,480 Speaker 1: think it just demonstrates how careful we have to be 392 00:22:19,520 --> 00:22:21,919 Speaker 1: in this process to make sure that we're using every precous, 393 00:22:22,000 --> 00:22:25,440 Speaker 1: precious dose that crosses our hands. Do you have confidence 394 00:22:25,480 --> 00:22:30,080 Speaker 1: in the distribution system as it is now? Yeah? I 395 00:22:30,080 --> 00:22:32,600 Speaker 1: mean I think that we're seeing that the distribution system 396 00:22:32,680 --> 00:22:35,359 Speaker 1: is working as well as could possibly be expected given 397 00:22:35,359 --> 00:22:38,320 Speaker 1: the short turnaround. I think some of the feedback that 398 00:22:38,359 --> 00:22:41,359 Speaker 1: we're hearing from FISER and the administration and the possibility 399 00:22:41,400 --> 00:22:44,640 Speaker 1: that pure dirsors will go out shows that it's far 400 00:22:44,720 --> 00:22:49,639 Speaker 1: from perfect, and UM, communication becomes critically important in these um, 401 00:22:50,160 --> 00:22:55,200 Speaker 1: this really intricate distribution process. UM. I think seeing things 402 00:22:55,320 --> 00:22:58,359 Speaker 1: like the potential for an extra dose or two in 403 00:22:58,600 --> 00:23:02,840 Speaker 1: the FISER vials, hearing that some of the production delays, 404 00:23:02,960 --> 00:23:06,000 Speaker 1: I think, UM, we we're seeing that actually there's a 405 00:23:06,000 --> 00:23:08,760 Speaker 1: lot of eyes on on the process and that the 406 00:23:08,840 --> 00:23:11,080 Speaker 1: kings are being worked out really quickly, which is great. 407 00:23:11,400 --> 00:23:14,640 Speaker 1: So even though we're identifying challenges in the process, we're 408 00:23:14,680 --> 00:23:17,919 Speaker 1: working through them, you know, in this like whole response 409 00:23:18,119 --> 00:23:21,520 Speaker 1: that allows us to fix it and and and improve 410 00:23:21,560 --> 00:23:24,000 Speaker 1: efficiency as quickly as possible. That's such a great point 411 00:23:24,000 --> 00:23:26,880 Speaker 1: because everybody really has the same goal here on that 412 00:23:26,960 --> 00:23:29,119 Speaker 1: the idea that there might be extra doses in the 413 00:23:29,160 --> 00:23:32,440 Speaker 1: Fiser vials, is there anything that concerns you about that, 414 00:23:32,600 --> 00:23:36,800 Speaker 1: because it seems to me that you know, if Fiser 415 00:23:36,920 --> 00:23:41,720 Speaker 1: won't you officially say there's more than five, then are 416 00:23:41,840 --> 00:23:44,400 Speaker 1: you at risk of getting just a little bit less 417 00:23:44,400 --> 00:23:46,280 Speaker 1: than the dose that you need or just a little 418 00:23:46,280 --> 00:23:47,960 Speaker 1: bit more than the dose that you need. It seems 419 00:23:47,960 --> 00:23:51,360 Speaker 1: a little vague for me. Yeah, I understand that completely. 420 00:23:51,400 --> 00:23:55,040 Speaker 1: I think you know these vials are they're doing that 421 00:23:55,119 --> 00:23:58,440 Speaker 1: because they want to ensure that that there's no um 422 00:23:58,600 --> 00:24:01,960 Speaker 1: undercutting of what they expected. Sans are right, So um, 423 00:24:02,119 --> 00:24:04,680 Speaker 1: the idea that that there may be an extra dose 424 00:24:04,800 --> 00:24:06,959 Speaker 1: or an extra dose and a half in these vials 425 00:24:07,200 --> 00:24:09,800 Speaker 1: is not unreasonable given the scale that we're talking about 426 00:24:09,840 --> 00:24:13,200 Speaker 1: and how quickly things are being partitioned and measured out 427 00:24:14,359 --> 00:24:18,320 Speaker 1: the The I think the risk comes when you try 428 00:24:18,359 --> 00:24:20,359 Speaker 1: to say like, oh, yes, you could get six, you 429 00:24:20,359 --> 00:24:23,200 Speaker 1: could get potentially six and a half or seven. UM. 430 00:24:23,240 --> 00:24:25,440 Speaker 1: But if you tell everyone there's five doses in this 431 00:24:25,520 --> 00:24:27,639 Speaker 1: file and you should get five doses, you're not. You 432 00:24:27,960 --> 00:24:30,600 Speaker 1: have less likely that people are going to get UM 433 00:24:30,640 --> 00:24:33,600 Speaker 1: a smaller dose right. So, um, perhaps it will be 434 00:24:33,600 --> 00:24:35,800 Speaker 1: surprised with an extra dose and you can vaccinate several 435 00:24:35,920 --> 00:24:38,840 Speaker 1: hundred extra people over the course of the projection. UM, 436 00:24:38,880 --> 00:24:42,280 Speaker 1: But you don't risk under underestimating or you don't risk 437 00:24:42,320 --> 00:24:44,800 Speaker 1: overestimating who you can vaccinate, so you don't risk people 438 00:24:44,800 --> 00:24:46,639 Speaker 1: getting left out. Is there a little bit of a 439 00:24:46,720 --> 00:24:48,960 Speaker 1: danger though, if there is you know, a half doals 440 00:24:49,040 --> 00:24:52,240 Speaker 1: left and somebody decides they'll combine that with a half 441 00:24:52,240 --> 00:24:55,160 Speaker 1: doals from another vial, does that not sort of letting 442 00:24:55,280 --> 00:24:58,919 Speaker 1: the risk of contamination and so on? Lauren, Yeah, I 443 00:24:58,920 --> 00:25:00,560 Speaker 1: think we want to We don't want to see that 444 00:25:00,800 --> 00:25:03,320 Speaker 1: so UM. I know many places have made the determination 445 00:25:03,680 --> 00:25:07,280 Speaker 1: not to combine partial doses from multiple vials. So that 446 00:25:07,359 --> 00:25:09,400 Speaker 1: might mean a little bit of wasting at the at 447 00:25:09,400 --> 00:25:11,800 Speaker 1: the bottom of that bial um, but that's really a 448 00:25:11,800 --> 00:25:14,200 Speaker 1: safety issue that I think it is the right decision 449 00:25:14,240 --> 00:25:18,040 Speaker 1: to not combine partial doses. It gets into measurement challenges, 450 00:25:18,080 --> 00:25:20,800 Speaker 1: it gets into contamination challenges, and it gets into like 451 00:25:20,840 --> 00:25:23,720 Speaker 1: basic accounting challenges. So when you're thinking about who you 452 00:25:23,800 --> 00:25:26,439 Speaker 1: vaccine and how you track them, UM, you want to 453 00:25:26,440 --> 00:25:30,000 Speaker 1: be sure that you're not taking those those steps where 454 00:25:30,560 --> 00:25:33,240 Speaker 1: error can enter because You'll also have to follow up 455 00:25:33,280 --> 00:25:36,359 Speaker 1: all of these people with additional vaccinations for their booster shops, 456 00:25:36,359 --> 00:25:38,080 Speaker 1: and so you want to make sure that you have 457 00:25:38,119 --> 00:25:40,800 Speaker 1: the appropriate number of booster shops for the people that 458 00:25:40,800 --> 00:25:43,920 Speaker 1: you've vaccinated initially as well. I mean, there's so many 459 00:25:43,960 --> 00:25:46,480 Speaker 1: things that have to go right here, and having seen 460 00:25:46,520 --> 00:25:49,720 Speaker 1: how the PPE distribution system worked, it doesn't inspire that 461 00:25:49,800 --> 00:25:53,320 Speaker 1: much confidence. But I guess, I mean, is there any 462 00:25:53,680 --> 00:25:57,440 Speaker 1: room for let's say criminality here? I mean, can can 463 00:25:57,480 --> 00:26:00,560 Speaker 1: people managed to get away with the types of things 464 00:26:00,560 --> 00:26:02,440 Speaker 1: that were getting away with when it came to PPE, 465 00:26:02,800 --> 00:26:08,359 Speaker 1: selling selling stuff online illegally and so on. I think that, um, 466 00:26:08,440 --> 00:26:12,359 Speaker 1: it's a slightly different environment. UM. I do I share 467 00:26:12,359 --> 00:26:17,160 Speaker 1: the concern that there are potential for UM for bad actors. 468 00:26:17,240 --> 00:26:20,200 Speaker 1: I think we always see that in emergencies because there's um, 469 00:26:20,240 --> 00:26:23,359 Speaker 1: you know, when the regulations become relaxed, or when UM 470 00:26:23,400 --> 00:26:26,680 Speaker 1: you know, there's a lot of misinformation and disinformation spreading. 471 00:26:27,080 --> 00:26:30,600 Speaker 1: UM that's where these people and these activities flourish. I 472 00:26:30,640 --> 00:26:32,879 Speaker 1: think there's a lot of eyes on this process, and 473 00:26:32,880 --> 00:26:36,040 Speaker 1: there's so few places where you can actually get UM 474 00:26:36,440 --> 00:26:41,639 Speaker 1: legitimate vaccine supply that it's much less likely that you 475 00:26:41,680 --> 00:26:44,600 Speaker 1: will see this happen because somewhat a new company could 476 00:26:44,640 --> 00:26:46,720 Speaker 1: pop up and say we're making an N and five. 477 00:26:46,800 --> 00:26:49,199 Speaker 1: It's totally approved. You're good. You're not going to have 478 00:26:49,240 --> 00:26:51,760 Speaker 1: a new company pop up and say we've reproduced the 479 00:26:51,840 --> 00:26:54,280 Speaker 1: Visor vaccine. You're totally good. It's trying to take it 480 00:26:54,480 --> 00:26:56,800 Speaker 1: so to about the number of eyes on all of 481 00:26:56,800 --> 00:26:59,840 Speaker 1: this process. Lawrence, thank you so so much, as always 482 00:27:00,000 --> 00:27:02,760 Speaker 1: as Lawrence Sauer, Associate Professor of Emergency Medicine at Johns 483 00:27:02,800 --> 00:27:07,439 Speaker 1: Hopkins University. Thanks for listening to Bloomberg Markets podcast. You 484 00:27:07,480 --> 00:27:11,040 Speaker 1: can subscribe and listen to interviews at Apple Podcasts or 485 00:27:11,080 --> 00:27:14,560 Speaker 1: whatever podcast platform you prefer. I'm Bonnie Quinn. I'm on 486 00:27:14,600 --> 00:27:17,119 Speaker 1: Twitter at Bonnie Quinn, and I'm Paul Sweeney. I'm on 487 00:27:17,160 --> 00:27:20,080 Speaker 1: Twitter at pt Sweeney. Before the podcast, you can always 488 00:27:20,119 --> 00:27:22,000 Speaker 1: catch us worldwide at Bloomberg Radio