1 00:00:00,800 --> 00:00:04,000 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney. Alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,560 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:23,160 Speaker 1: at Bloomberg dot com slash podcast. There is an elite 7 00:00:23,320 --> 00:00:31,200 Speaker 1: group of economists and UH politicians, bankers, philanthropists who meet 8 00:00:31,280 --> 00:00:35,120 Speaker 1: up every year at Camp ko Talk to UH to 9 00:00:35,360 --> 00:00:37,960 Speaker 1: cast a Rod. I don't know if that's even how 10 00:00:38,000 --> 00:00:40,720 Speaker 1: you say it, but um David KO Talk joins us 11 00:00:40,880 --> 00:00:45,280 Speaker 1: himself right now, Chairman and chief investment Officer at Cumberland Advisors. David, 12 00:00:45,320 --> 00:00:49,560 Speaker 1: I feel like McKee has gone, Rid Holtz has gone. 13 00:00:49,800 --> 00:00:52,760 Speaker 1: Kathleen Hayes, I've never gotten invite to Camp COO Talk 14 00:00:53,720 --> 00:00:57,840 Speaker 1: might be a reason. Officially and in the presence of 15 00:00:57,880 --> 00:01:02,880 Speaker 1: anybody who's listening in care, you are invited this August, 16 00:01:03,000 --> 00:01:07,560 Speaker 1: and we would love to have you. They made I 17 00:01:07,560 --> 00:01:09,200 Speaker 1: can actually go home now, but I want to ask 18 00:01:09,240 --> 00:01:12,080 Speaker 1: you a couple of questions. David, first, about the state 19 00:01:12,080 --> 00:01:15,200 Speaker 1: of the U S economy, especially in light of today's 20 00:01:15,319 --> 00:01:18,840 Speaker 1: jobs report, it looked great, but there's still millions of 21 00:01:18,880 --> 00:01:21,760 Speaker 1: people without jobs. We talked about the high savings rate, 22 00:01:21,800 --> 00:01:23,880 Speaker 1: but there's so many people who can't even afford to 23 00:01:23,920 --> 00:01:28,440 Speaker 1: pay rent. Is this is this K shaped recovery a 24 00:01:28,520 --> 00:01:34,360 Speaker 1: problem for the FED? For example, it appears so um. 25 00:01:34,560 --> 00:01:38,600 Speaker 1: J Pal said so um. Others in the FED continue 26 00:01:38,840 --> 00:01:44,720 Speaker 1: to say so. And we shouldn't be deceived by the 27 00:01:44,920 --> 00:01:49,640 Speaker 1: six percent or so official unemployment rate. When you recomputed, 28 00:01:49,760 --> 00:01:54,600 Speaker 1: to reflect some technical differences, it's closer to say ten percent. 29 00:01:55,200 --> 00:01:58,480 Speaker 1: So you think about that. You say, see, there were 30 00:01:58,520 --> 00:02:01,720 Speaker 1: about a hundred and fifty five million, hundred and fifty 31 00:02:01,760 --> 00:02:06,760 Speaker 1: two millions something like that non farm payrolls before COVID started, 32 00:02:07,520 --> 00:02:12,480 Speaker 1: and there's fifteen million people out of that group that 33 00:02:12,600 --> 00:02:15,960 Speaker 1: are not employed today. Some of them have dropped out, 34 00:02:16,080 --> 00:02:18,160 Speaker 1: some of them are in the unemployment rate. That the 35 00:02:18,280 --> 00:02:22,880 Speaker 1: picture is recovery which is robust, but it's coming off 36 00:02:22,919 --> 00:02:27,560 Speaker 1: a very deep bottom. So I wouldn't get sanguine that 37 00:02:27,680 --> 00:02:31,120 Speaker 1: everything's going back to normal and everything is wonderful. I 38 00:02:31,160 --> 00:02:34,880 Speaker 1: don't think we're there yet, but the trend is good, David. 39 00:02:35,280 --> 00:02:38,400 Speaker 1: You know, we again, the trend is good, there's also 40 00:02:38,480 --> 00:02:41,560 Speaker 1: been some I guess the murmur starting to build here 41 00:02:41,560 --> 00:02:43,840 Speaker 1: over the last couple of weeks about inflation and and 42 00:02:43,880 --> 00:02:47,240 Speaker 1: maybe not the good kind of inflation. How are you 43 00:02:47,280 --> 00:02:48,919 Speaker 1: thinking about kind of what we're seeing maybe in the 44 00:02:48,919 --> 00:02:52,720 Speaker 1: commodities markets, we're seeing the treasuries tenure over one point 45 00:02:52,800 --> 00:02:55,280 Speaker 1: six percent even earlier this morning. How do you think 46 00:02:55,280 --> 00:03:00,480 Speaker 1: about inflation? Well, we we look at inflation expectation. They 47 00:03:00,480 --> 00:03:05,080 Speaker 1: are building, there's various ways to estimate them, and they're 48 00:03:05,120 --> 00:03:09,959 Speaker 1: all saying that the expectation is rising. My colleague Jung 49 00:03:10,000 --> 00:03:14,600 Speaker 1: Whoso talks about that all the time. The problem is 50 00:03:14,760 --> 00:03:19,280 Speaker 1: expectations are one thing. Delivering a change in the price 51 00:03:19,560 --> 00:03:26,280 Speaker 1: level of a strategic elevation is something else. Again, hard 52 00:03:26,360 --> 00:03:30,880 Speaker 1: to see it when you have a true unemployment rate 53 00:03:31,040 --> 00:03:34,320 Speaker 1: somewhere around ten percent in the country. So maybe down 54 00:03:34,320 --> 00:03:40,320 Speaker 1: the road it comes. But we're more mild or sanguine 55 00:03:40,360 --> 00:03:45,760 Speaker 1: about higher inflation risk than some of the others. Actually 56 00:03:45,800 --> 00:03:50,440 Speaker 1: spoke yesterday with Scott Minerd of Guggenheim. He's well, I mean, 57 00:03:50,480 --> 00:03:53,520 Speaker 1: he's an outlier, right, he thinks the tenure yield could 58 00:03:53,520 --> 00:03:59,160 Speaker 1: go negative. But his point was that disinflationary um forces 59 00:03:59,200 --> 00:04:02,960 Speaker 1: are much stronger than what he sees as transient inflation. 60 00:04:03,000 --> 00:04:06,880 Speaker 1: He says, you always see a spike in yields like this, 61 00:04:07,000 --> 00:04:10,400 Speaker 1: but it's um you know, but but it doesn't stay. 62 00:04:10,560 --> 00:04:13,120 Speaker 1: Do you look at historically and come of the same 63 00:04:13,160 --> 00:04:18,080 Speaker 1: conclusion pretty much? So I saw the U I saw 64 00:04:18,120 --> 00:04:21,640 Speaker 1: the interview with Scott and and the you know their 65 00:04:21,680 --> 00:04:26,200 Speaker 1: two camps. Now there's the camp that says, jee, the 66 00:04:26,240 --> 00:04:28,200 Speaker 1: FETE is printing all this money, we're having all this 67 00:04:28,360 --> 00:04:30,760 Speaker 1: defic set spending, We're going to get a big inflation. 68 00:04:31,200 --> 00:04:34,160 Speaker 1: Well sometimes that happens, but there's a lot of history 69 00:04:34,240 --> 00:04:38,920 Speaker 1: it says that doesn't happen. And I raised a different perspective. 70 00:04:38,960 --> 00:04:42,240 Speaker 1: I say, to get inflation, you need two things. You 71 00:04:42,279 --> 00:04:48,560 Speaker 1: need rising labor income, which is robust. We don't have 72 00:04:48,680 --> 00:04:52,440 Speaker 1: that yet. We're in a recovery, but it's not robust yet. 73 00:04:52,760 --> 00:04:56,800 Speaker 1: And the second thing is you need private sector credit multipliers, 74 00:04:57,400 --> 00:05:00,480 Speaker 1: and that's the monetary piece. We don't have that either. 75 00:05:00,600 --> 00:05:02,760 Speaker 1: So if you create a lot of bank reserves and 76 00:05:02,800 --> 00:05:08,520 Speaker 1: they sit there and they're sterilized, and the transfer payments 77 00:05:08,640 --> 00:05:13,000 Speaker 1: coming from the federal government are not capital investments, but 78 00:05:13,120 --> 00:05:17,039 Speaker 1: what they're doing is ridging gaps across the valley to 79 00:05:17,240 --> 00:05:23,600 Speaker 1: keep people surviving. I don't see the inflation forces yet 80 00:05:23,640 --> 00:05:27,840 Speaker 1: in place, and I don't believe you you treager inflation 81 00:05:28,320 --> 00:05:31,080 Speaker 1: by looking at a change in an oil price. The 82 00:05:31,160 --> 00:05:35,040 Speaker 1: Federal Reserve can drill for oil. It's in monetary and 83 00:05:35,160 --> 00:05:39,359 Speaker 1: banking multipliers, and the multipliers aren't there yet. And it 84 00:05:39,400 --> 00:05:44,000 Speaker 1: doesn't look like you're coming so quickly to us, all right, David, 85 00:05:44,040 --> 00:05:47,919 Speaker 1: If if inflation is not at least a near term 86 00:05:48,240 --> 00:05:52,039 Speaker 1: concern here, it seems like the bulls have kind of 87 00:05:52,080 --> 00:05:54,680 Speaker 1: the runway here, given the backdrop they're seeing with the 88 00:05:54,720 --> 00:05:58,280 Speaker 1: FED and with the potentially reopening trade here. Where are 89 00:05:58,320 --> 00:06:04,200 Speaker 1: you finding the best opportunities right now? In the stock market, 90 00:06:04,240 --> 00:06:06,279 Speaker 1: we think you have to be in it all. You 91 00:06:06,360 --> 00:06:09,960 Speaker 1: have to be in it. We're looking at maybe SMP 92 00:06:10,080 --> 00:06:13,480 Speaker 1: five hundred earnings at around a two hundred dollar level 93 00:06:13,640 --> 00:06:17,839 Speaker 1: in the recovery and trending upward. In the bond market, 94 00:06:18,040 --> 00:06:22,240 Speaker 1: you you know, we favor the municipal bond sector, the 95 00:06:22,320 --> 00:06:25,360 Speaker 1: tax free bond yields and structure, and the tax free 96 00:06:25,400 --> 00:06:29,880 Speaker 1: market are ignoring part of the value of the arbitrage 97 00:06:30,120 --> 00:06:33,720 Speaker 1: in the US tax code. I, for one, don't see 98 00:06:33,720 --> 00:06:38,120 Speaker 1: how tax rates go down. They may stay the same 99 00:06:38,279 --> 00:06:41,000 Speaker 1: or they may go up. But there's a value in 100 00:06:41,080 --> 00:06:44,440 Speaker 1: the tax free sector. It has to be understood. It's 101 00:06:44,480 --> 00:06:47,480 Speaker 1: a different kind of market than a corporate bird treasury 102 00:06:47,520 --> 00:06:52,640 Speaker 1: bond market. So we like that as well. David, I 103 00:06:53,000 --> 00:06:57,080 Speaker 1: just want to uh uh talk for a moment about 104 00:06:57,160 --> 00:06:58,920 Speaker 1: the kind of fraud that you're seeing and if it's 105 00:06:58,920 --> 00:07:01,400 Speaker 1: worrying you, because it is in your latest note you 106 00:07:01,400 --> 00:07:04,720 Speaker 1: go through some state by state cases. Is it concerned 107 00:07:04,760 --> 00:07:09,880 Speaker 1: you think or should we be focused on the bigger picture? No, 108 00:07:10,120 --> 00:07:13,280 Speaker 1: I think there's a serious concern about flaws in the 109 00:07:13,360 --> 00:07:19,120 Speaker 1: state by state data. And we see it in Florida. 110 00:07:19,240 --> 00:07:22,360 Speaker 1: Now it's going to cost the state of Florida millions 111 00:07:22,400 --> 00:07:25,679 Speaker 1: to redo their unemployment system. We see it in Ohio, 112 00:07:25,760 --> 00:07:28,240 Speaker 1: we see it in California, we see it Arinzona, we 113 00:07:28,360 --> 00:07:32,520 Speaker 1: see bits and pieces everywhere. I published that piece and 114 00:07:32,640 --> 00:07:35,200 Speaker 1: I had a response from a friend and said, we 115 00:07:35,280 --> 00:07:39,320 Speaker 1: have two hundred people in our company who were advised 116 00:07:39,360 --> 00:07:43,000 Speaker 1: that their initial unemployment claims were processed and none of 117 00:07:43,000 --> 00:07:47,800 Speaker 1: them applied for it. So the fact is there's a problem, 118 00:07:47,880 --> 00:07:51,400 Speaker 1: and the problem has two implications. Number one, how do 119 00:07:51,440 --> 00:07:54,120 Speaker 1: you rely on data when you know it's flawed and 120 00:07:54,160 --> 00:07:58,160 Speaker 1: the flaws are changing, so I'm not consistent. And number two, 121 00:07:58,440 --> 00:08:02,160 Speaker 1: it gives fuel to the people who don't want to 122 00:08:02,200 --> 00:08:06,760 Speaker 1: help people the ones who needed to get across the valley. 123 00:08:07,120 --> 00:08:10,560 Speaker 1: So it's a problem. Hey, David, thanks so much for 124 00:08:10,640 --> 00:08:13,080 Speaker 1: joining us. We always appreciate chatting with you. David Kotalk, 125 00:08:13,160 --> 00:08:16,720 Speaker 1: chairman and chief investment officer of Kumbling Advisors, also the 126 00:08:16,760 --> 00:08:20,800 Speaker 1: author co author of the book Adventures in Muni Land. 127 00:08:20,840 --> 00:08:26,240 Speaker 1: We'll have more coming up. This is Bloomberg. We're just 128 00:08:26,280 --> 00:08:28,480 Speaker 1: talking about tech Stox. Greg jeb was talking about text 129 00:08:28,480 --> 00:08:30,880 Speaker 1: stocks and Tesla. When you think about tech stocks, met 130 00:08:30,880 --> 00:08:33,880 Speaker 1: One of our faves is Dan I. He's a managing 131 00:08:33,880 --> 00:08:37,360 Speaker 1: director equity research at wed Bush Securities. Dan, thanks so 132 00:08:37,440 --> 00:08:40,160 Speaker 1: much for joining us, really timely here. You've been, you know, 133 00:08:40,320 --> 00:08:42,959 Speaker 1: very bullish on your tech sector for a long time. 134 00:08:43,000 --> 00:08:46,440 Speaker 1: You've been very right tech Stox getting the short end 135 00:08:46,440 --> 00:08:49,960 Speaker 1: of this rotation trade. If you will, Let's step back 136 00:08:50,040 --> 00:08:52,880 Speaker 1: and I'd love you to share your thoughts on kind 137 00:08:52,880 --> 00:08:54,600 Speaker 1: of some of the big tech names which have been 138 00:08:54,679 --> 00:08:56,760 Speaker 1: so good for so long. How are you thinking about 139 00:08:56,760 --> 00:08:59,640 Speaker 1: that that sector now? Sure? And it's great to be 140 00:08:59,720 --> 00:09:02,480 Speaker 1: on well. Right now, it's a white knuckle period with 141 00:09:02,520 --> 00:09:05,400 Speaker 1: what you're seeing in a ten year in the rotation trade, 142 00:09:05,920 --> 00:09:09,240 Speaker 1: and you're seeing some of these crowded names hit the 143 00:09:09,320 --> 00:09:12,400 Speaker 1: sell button. But to me, this is short term. I 144 00:09:12,520 --> 00:09:16,480 Speaker 1: believe tech stocks go up another this year and we 145 00:09:16,520 --> 00:09:18,680 Speaker 1: are in the midst We're in the middle of what 146 00:09:18,760 --> 00:09:22,640 Speaker 1: I've used a multi year bull rally for tech stocks, 147 00:09:22,679 --> 00:09:26,640 Speaker 1: and that doesn't change with the forty bits moving the tenure. 148 00:09:27,480 --> 00:09:31,079 Speaker 1: So what kind of valuations do you think are healthy then, 149 00:09:31,160 --> 00:09:35,680 Speaker 1: because some of them are really high. I mean, I 150 00:09:35,679 --> 00:09:38,240 Speaker 1: guess it's not fair to look at earnings for Tesla 151 00:09:38,320 --> 00:09:43,640 Speaker 1: but a thousand times look, I think right now the conundrum, 152 00:09:44,040 --> 00:09:47,120 Speaker 1: almost say, the quagmire for investors is how do you 153 00:09:47,280 --> 00:09:51,120 Speaker 1: value five trillion dollars of growth over the next decade. 154 00:09:51,120 --> 00:09:53,360 Speaker 1: And that's really what the ev market is of course 155 00:09:53,480 --> 00:09:56,200 Speaker 1: right now, Tessa Math, we lead in that market. I 156 00:09:56,240 --> 00:09:58,599 Speaker 1: think that's that's the question. Right now. You see in 157 00:09:58,600 --> 00:10:01,959 Speaker 1: the digestion period, and of course valuation is going to 158 00:10:02,040 --> 00:10:05,200 Speaker 1: be a nice right here. But to me, these are 159 00:10:05,280 --> 00:10:08,040 Speaker 1: stocks that are going to grow into their evaluation. Tassa 160 00:10:08,120 --> 00:10:10,640 Speaker 1: Fernt and Center and re rate higher, and I view 161 00:10:10,720 --> 00:10:13,920 Speaker 1: this is just it's a timbercent pullback that we've seen 162 00:10:14,000 --> 00:10:17,600 Speaker 1: a lot of high gripthmes anywhere from and Paul I 163 00:10:17,679 --> 00:10:20,720 Speaker 1: view this as a golden buying opportunity in tech. I 164 00:10:20,720 --> 00:10:22,960 Speaker 1: think we probably get this. You know, this could be 165 00:10:23,120 --> 00:10:25,920 Speaker 1: our shot in terms of this year. Just just checked 166 00:10:25,960 --> 00:10:28,760 Speaker 1: in OR or e V s. I mean, Folkswagen is 167 00:10:28,840 --> 00:10:33,960 Speaker 1: coming on strong. They're targeting at e V share in 168 00:10:34,160 --> 00:10:37,640 Speaker 1: China and the US by thirty. They're targeting a sevent 169 00:10:38,240 --> 00:10:42,120 Speaker 1: EV share in Europe and they have you know, seventy 170 00:10:42,160 --> 00:10:46,240 Speaker 1: billion dollars to invest to make it happen. Yeah, and 171 00:10:46,280 --> 00:10:48,760 Speaker 1: it speaks to what GM's done and Marry, I mean 172 00:10:48,800 --> 00:10:51,280 Speaker 1: they're diving into the deep end of the pool and evs, 173 00:10:51,440 --> 00:10:55,440 Speaker 1: but we're do you like? But do you like folks Wagen? Now? 174 00:10:55,520 --> 00:10:59,280 Speaker 1: To me, I like GM in particular in terms of 175 00:10:59,320 --> 00:11:02,040 Speaker 1: one that's going to have success. I think volkswagging. The 176 00:11:02,120 --> 00:11:05,000 Speaker 1: key with them is what they're doing on the MOBU 177 00:11:05,080 --> 00:11:07,960 Speaker 1: or build out of EV and their quantums gave ownership. 178 00:11:08,040 --> 00:11:10,880 Speaker 1: I think that's came from the battery technology. And I 179 00:11:10,920 --> 00:11:14,160 Speaker 1: think EV we're talking about probably the most transform national 180 00:11:14,160 --> 00:11:17,640 Speaker 1: opportunity that I've seen twenty plus years of covering tack 181 00:11:17,720 --> 00:11:22,640 Speaker 1: and disruptive technology. All Right, Dan, let's back away from 182 00:11:22,720 --> 00:11:24,360 Speaker 1: the Tesla EV a little bit. Talk to us a 183 00:11:24,360 --> 00:11:27,520 Speaker 1: little about five G. That's another big theme that we 184 00:11:27,679 --> 00:11:33,120 Speaker 1: hear coming out of technology companies, telecommunications companies. How should 185 00:11:33,160 --> 00:11:35,880 Speaker 1: we be thinking about five G and and what are 186 00:11:35,880 --> 00:11:39,200 Speaker 1: the names that you like as a play on five G. Yeah, 187 00:11:39,240 --> 00:11:42,080 Speaker 1: in five G we're still probably the first inning of 188 00:11:42,120 --> 00:11:45,200 Speaker 1: this all building out In China, they've been ahead, but 189 00:11:45,240 --> 00:11:47,920 Speaker 1: when you look what's happened in US from a five 190 00:11:48,000 --> 00:11:51,520 Speaker 1: G perspective, this is really building out the infrastructure from 191 00:11:51,520 --> 00:11:56,200 Speaker 1: a hotelcom services perspective over the next decade. And our 192 00:11:56,240 --> 00:11:58,920 Speaker 1: best five G play continues to be Apple because of 193 00:11:59,000 --> 00:12:02,200 Speaker 1: the supercycled it's playing out in real time, and I 194 00:12:02,240 --> 00:12:04,480 Speaker 1: think that's still gonna be a three trillion dollar mark 195 00:12:04,520 --> 00:12:06,559 Speaker 1: ap this year. And then you look at some of 196 00:12:06,600 --> 00:12:09,840 Speaker 1: the supply chain please like a qual Calm as well 197 00:12:09,840 --> 00:12:13,800 Speaker 1: as across Semis, which is why we're bullish on Semis 198 00:12:14,040 --> 00:12:16,959 Speaker 1: as well as just the overall sector with five G 199 00:12:17,120 --> 00:12:20,920 Speaker 1: as a tall in Apple clearly the biggest beneficiary there. 200 00:12:21,640 --> 00:12:23,720 Speaker 1: What do you think I read a story today about 201 00:12:23,800 --> 00:12:28,239 Speaker 1: China laying a cable that goes um, I think from Pakistan, 202 00:12:28,480 --> 00:12:32,199 Speaker 1: then around the Horn of Africa and then up onto 203 00:12:32,240 --> 00:12:36,920 Speaker 1: a beach in Marseille. It's gonna deliver um in one second, 204 00:12:37,600 --> 00:12:41,640 Speaker 1: the ability to play nine thousand Netflix movies. I mean 205 00:12:42,000 --> 00:12:45,679 Speaker 1: just super fast internet. Um. But I instantly thought, wow, 206 00:12:45,679 --> 00:12:48,800 Speaker 1: I wonder where the backdoors are built in, Like cybersecurity 207 00:12:48,880 --> 00:12:52,920 Speaker 1: must be a huge issue. Well right now cyber security 208 00:12:53,080 --> 00:12:56,320 Speaker 1: continues to where we've seen post Sowar Wind's attacked as 209 00:12:56,360 --> 00:12:58,240 Speaker 1: well as across the board. This is probably the biggest 210 00:12:58,280 --> 00:13:02,640 Speaker 1: tame point facing enterprise and governments today especially is more 211 00:13:02,640 --> 00:13:04,720 Speaker 1: and more moved to the cloud, and that's why there's 212 00:13:04,800 --> 00:13:07,920 Speaker 1: names like a Z scale or a power out, a 213 00:13:08,040 --> 00:13:12,600 Speaker 1: style points cybersecurity, that basket that that continues to probably 214 00:13:12,600 --> 00:13:14,720 Speaker 1: be one of our most bullish areas of tech. And 215 00:13:14,720 --> 00:13:17,200 Speaker 1: I think half those companies could get acquired in terms 216 00:13:17,240 --> 00:13:19,960 Speaker 1: of consolidation and will give a step back. It's a 217 00:13:20,080 --> 00:13:24,160 Speaker 1: fourth generation industrial revolution going on. That's why what I 218 00:13:24,240 --> 00:13:27,880 Speaker 1: look in terms of the trillions spent, we trust it's 219 00:13:28,080 --> 00:13:30,880 Speaker 1: to pound the table moment unpacked. Despite some of the 220 00:13:30,920 --> 00:13:34,160 Speaker 1: white knuckles that we're seeing in many bears who've been 221 00:13:34,240 --> 00:13:36,800 Speaker 1: hibernation mode the last year now calling fire in a 222 00:13:36,880 --> 00:13:41,319 Speaker 1: cloud theater. So, Dan, when you talk to institutional investors, 223 00:13:41,320 --> 00:13:42,960 Speaker 1: I don't you don't get to visit them anymore in 224 00:13:42,960 --> 00:13:44,480 Speaker 1: this in this water, in but any you do lots 225 00:13:44,480 --> 00:13:45,839 Speaker 1: of phone calls and things like that. What do you 226 00:13:46,120 --> 00:13:50,720 Speaker 1: what's kind of them? Dude? Clients don't do zoom my 227 00:13:50,760 --> 00:13:52,880 Speaker 1: mom guessing it's hard enough to get him on the phone. 228 00:13:52,920 --> 00:13:56,240 Speaker 1: But Dan, what are they? What's the pushback you're getting 229 00:13:56,240 --> 00:13:59,640 Speaker 1: from people that maybe have changed their minds on tech 230 00:13:59,679 --> 00:14:03,000 Speaker 1: and in fact have turned negative on tech. I think 231 00:14:03,040 --> 00:14:06,280 Speaker 1: the pushback is, are you are you catching the following night? 232 00:14:06,440 --> 00:14:08,760 Speaker 1: Are these stocks that are going to continue to move 233 00:14:08,840 --> 00:14:13,320 Speaker 1: high down in terms of valuation? Reading the other way? 234 00:14:13,480 --> 00:14:15,960 Speaker 1: And what gives you that confidence? And that's where I 235 00:14:16,000 --> 00:14:18,120 Speaker 1: think where you're going to start to see in terms 236 00:14:18,120 --> 00:14:20,680 Speaker 1: of the fundamentals. I think street numbers move up another 237 00:14:20,800 --> 00:14:23,560 Speaker 1: ten to fifteen percent this year. But I think what 238 00:14:23,600 --> 00:14:26,520 Speaker 1: we're gonna see is over the next week, I believe 239 00:14:26,520 --> 00:14:29,280 Speaker 1: we're gonna have a massive bounce back in tech. And 240 00:14:29,360 --> 00:14:31,560 Speaker 1: that's where you start to see some of the green 241 00:14:31,680 --> 00:14:34,640 Speaker 1: lights and the technic goals start to improve, but right now, 242 00:14:34,680 --> 00:14:36,640 Speaker 1: I think that's the biggest war. No one wants to 243 00:14:36,760 --> 00:14:40,640 Speaker 1: be the first to jump into the pool. In terms 244 00:14:40,640 --> 00:14:43,800 Speaker 1: of this market, I saw an awesome story the other day. 245 00:14:43,840 --> 00:14:48,400 Speaker 1: Bill Gates and the actor Robert Downey Jr. Are investing 246 00:14:48,400 --> 00:14:50,680 Speaker 1: in a company called turn Tide. It's still small, it's 247 00:14:50,720 --> 00:14:53,520 Speaker 1: not publicly traded yet, but they make it a motor 248 00:14:53,840 --> 00:14:55,880 Speaker 1: that is able to produce the same amount of power 249 00:14:55,920 --> 00:14:59,120 Speaker 1: as another electric motor with thirty less electricity. It's not 250 00:14:59,200 --> 00:15:01,880 Speaker 1: all about bad right there are other improvements that can 251 00:15:01,920 --> 00:15:05,800 Speaker 1: be made in e vis. It's a green title that 252 00:15:05,960 --> 00:15:08,000 Speaker 1: that I believe is going to happen. The U S 253 00:15:08,000 --> 00:15:11,600 Speaker 1: Bodens driven, especially with a blue cent, and we're talking 254 00:15:11,680 --> 00:15:14,720 Speaker 1: something that's really gonna change the whole ecosystem, not just 255 00:15:14,840 --> 00:15:18,880 Speaker 1: auto but sore and really across the whole, not just 256 00:15:18,960 --> 00:15:22,080 Speaker 1: domestic but globally. And I think there's a massive impact 257 00:15:22,120 --> 00:15:24,760 Speaker 1: here for the coming years. That's why I just cost 258 00:15:24,800 --> 00:15:27,680 Speaker 1: him with investors. When you're playing ev and you're playing 259 00:15:27,680 --> 00:15:30,840 Speaker 1: the basket, I think that this continues. Probably one of 260 00:15:30,840 --> 00:15:34,320 Speaker 1: the most unique opportunities to the sector that I've seen 261 00:15:34,320 --> 00:15:37,920 Speaker 1: in dectide. I hope someone figures out a way for 262 00:15:38,040 --> 00:15:41,840 Speaker 1: evis to make a sweet noise I like, I like 263 00:15:42,000 --> 00:15:44,520 Speaker 1: a good V eight exhaust note, but I don't know 264 00:15:44,680 --> 00:15:47,040 Speaker 1: if fake is going to cut it anyway, Dan, thanks 265 00:15:47,040 --> 00:15:49,120 Speaker 1: so much for joining us. Always a pleasure talking to you. 266 00:15:49,240 --> 00:15:53,640 Speaker 1: Dana Eyes, Managing director for Equity Research at wed Bush Securities. 267 00:15:53,720 --> 00:15:59,600 Speaker 1: This is Bloomberg. Your jobs number came out today. The 268 00:15:59,640 --> 00:16:05,280 Speaker 1: headline were certainly impressive, seventy jobs at unemployment rate officially 269 00:16:05,480 --> 00:16:08,960 Speaker 1: ticking down yet again. Uh, let's get a sense of 270 00:16:09,040 --> 00:16:12,200 Speaker 1: what's going on at street level, at the company level. 271 00:16:12,480 --> 00:16:14,880 Speaker 1: We do that with Tom Gimble. He's a founder at 272 00:16:14,880 --> 00:16:18,280 Speaker 1: CEO of LaSalle Network, based in Chicago's lasal Network is 273 00:16:18,320 --> 00:16:22,320 Speaker 1: one of the leading staffing and recruiting firms in the country. Tom, 274 00:16:22,320 --> 00:16:24,000 Speaker 1: thanks so much for joining us here. Again that the 275 00:16:24,280 --> 00:16:27,960 Speaker 1: numbers we got today were certainly certainly positive. What are 276 00:16:28,000 --> 00:16:30,440 Speaker 1: you hearing and seeing from the clients that you talked 277 00:16:30,440 --> 00:16:34,520 Speaker 1: to on a daily basis? Positives and understatement, I mean, 278 00:16:34,560 --> 00:16:36,600 Speaker 1: we should be throwing parties in the street like it's 279 00:16:36,640 --> 00:16:40,560 Speaker 1: Mardi Gras. I'm with you. I'm as optimistic as it 280 00:16:40,600 --> 00:16:43,080 Speaker 1: gets on this kind of stuff. But I didn't think 281 00:16:43,080 --> 00:16:45,760 Speaker 1: it was going to be this big. And what I've 282 00:16:45,800 --> 00:16:50,760 Speaker 1: been seeing is companies of all shapes and sizes, non hospitality, 283 00:16:50,880 --> 00:16:53,880 Speaker 1: non restaurants, have been hiring. I didn't think we were 284 00:16:53,880 --> 00:16:56,600 Speaker 1: going to get this bump until the weather really got 285 00:16:56,600 --> 00:16:59,840 Speaker 1: good in April or May. Job numbers. UM. So this 286 00:17:00,040 --> 00:17:02,960 Speaker 1: is really a sign that the second and third quarter 287 00:17:03,000 --> 00:17:05,359 Speaker 1: are really going to be fantastic. But companies are hiring 288 00:17:05,359 --> 00:17:09,040 Speaker 1: at all, all levels of positions across the board right now. 289 00:17:09,760 --> 00:17:12,879 Speaker 1: There was an awesome chart tom this morning showing that 290 00:17:13,000 --> 00:17:17,840 Speaker 1: investors are really betting on summer vacation at least um 291 00:17:17,960 --> 00:17:20,000 Speaker 1: here in Europe, and we don't even have the vaccines. 292 00:17:20,560 --> 00:17:23,399 Speaker 1: Um that you guys have the S and T the 293 00:17:23,440 --> 00:17:28,960 Speaker 1: stock six hundred Travel and Leisure Index just absolutely soaring. Um. 294 00:17:29,119 --> 00:17:32,400 Speaker 1: Do you think we're gonna see business travel keep up 295 00:17:32,440 --> 00:17:35,520 Speaker 1: with um? You know, the trips were all planning down 296 00:17:35,560 --> 00:17:39,800 Speaker 1: to New Orleans for example. I think that will be 297 00:17:39,840 --> 00:17:42,480 Speaker 1: the last one, at the last thing to come back. Actually, 298 00:17:42,560 --> 00:17:46,359 Speaker 1: because the the economy is going to grow organically and 299 00:17:46,400 --> 00:17:50,920 Speaker 1: innately in the second and third quarter, because of the vaccine, 300 00:17:51,880 --> 00:17:56,040 Speaker 1: because of summer in hospitality coming back, that business travel 301 00:17:56,119 --> 00:17:58,719 Speaker 1: won't need Businesses will think they don't need to do 302 00:17:58,800 --> 00:18:01,880 Speaker 1: business travel of the second and third quarter. And what 303 00:18:01,920 --> 00:18:05,000 Speaker 1: we'll start to see is eventually that's when the small 304 00:18:05,080 --> 00:18:08,240 Speaker 1: scrappy companies put people on airplane because they know that 305 00:18:08,240 --> 00:18:10,480 Speaker 1: if they get in front of people, they'll be able 306 00:18:10,520 --> 00:18:13,439 Speaker 1: to differentiate. I think it'll be a real emergence of 307 00:18:13,480 --> 00:18:17,280 Speaker 1: the entrepreneurial company because they will travel and big companies 308 00:18:17,480 --> 00:18:21,000 Speaker 1: to keep earnings being positive, we'll pull back on TNE 309 00:18:21,040 --> 00:18:23,000 Speaker 1: because that's where they met a lot of their profit numbers. 310 00:18:24,960 --> 00:18:28,040 Speaker 1: So Tom again, the headline numbers were very good. You 311 00:18:28,119 --> 00:18:30,760 Speaker 1: dig down a little bit deeper, there were some issues 312 00:18:30,760 --> 00:18:34,280 Speaker 1: for concern. The African American unemployment rate actually ticked up 313 00:18:34,320 --> 00:18:37,960 Speaker 1: a little bit. What's the concern that as we come 314 00:18:38,000 --> 00:18:41,720 Speaker 1: out of this pandemic and out of this jobless issue, 315 00:18:41,840 --> 00:18:45,840 Speaker 1: that it's going to be perhaps more unequal than many 316 00:18:45,880 --> 00:18:48,960 Speaker 1: would like. Well, I think what we're really gonna have 317 00:18:49,840 --> 00:18:53,240 Speaker 1: well on on the racial issue. You know, as you 318 00:18:53,280 --> 00:18:56,320 Speaker 1: saw during the elections like the last year, is as 319 00:18:56,400 --> 00:18:59,439 Speaker 1: the former administration went to out how great things were 320 00:18:59,800 --> 00:19:03,199 Speaker 1: from minority hiring because of the a lot of the 321 00:19:03,280 --> 00:19:06,679 Speaker 1: lack of education and poverty areas that that tends to 322 00:19:06,760 --> 00:19:08,919 Speaker 1: be one of the laggers, which is a shame. I 323 00:19:08,960 --> 00:19:13,359 Speaker 1: think an education forward thinking administration should help that. Where 324 00:19:13,440 --> 00:19:17,600 Speaker 1: I'm really concerned about UH into the future is the 325 00:19:17,680 --> 00:19:21,040 Speaker 1: white collar blue collar service level divide. And what I 326 00:19:21,080 --> 00:19:23,760 Speaker 1: mean by that is what we've seen over the past 327 00:19:23,840 --> 00:19:26,440 Speaker 1: year is that white collar jobs can be done remotely, 328 00:19:26,760 --> 00:19:31,439 Speaker 1: but obviously blue collars job plus truck drivers plus cash 329 00:19:31,480 --> 00:19:36,320 Speaker 1: register workers cannot. And eventually, whether you're black, brown, white, orange, 330 00:19:36,400 --> 00:19:39,560 Speaker 1: or green, it doesn't matter. There's gonna be resentment of 331 00:19:39,560 --> 00:19:41,920 Speaker 1: why are you working from home when I'm going into 332 00:19:41,920 --> 00:19:44,479 Speaker 1: the factory every day or driving the truck, And we're 333 00:19:44,520 --> 00:19:48,760 Speaker 1: gonna have some real sociological issues that go beyond gender 334 00:19:48,800 --> 00:19:52,800 Speaker 1: and or race into deeper, deeper issues than that. That's 335 00:19:52,840 --> 00:19:55,600 Speaker 1: going to be an interesting economic and job problem that 336 00:19:55,640 --> 00:19:59,120 Speaker 1: we faced. Tom. What do you think about the minimum 337 00:19:59,119 --> 00:20:01,679 Speaker 1: wage debate? It looks like, you know, it's done for 338 00:20:01,880 --> 00:20:05,840 Speaker 1: now unless Kamala Harris kind of jumps in and does 339 00:20:05,880 --> 00:20:09,000 Speaker 1: something last minute, or the government's table to do something separately, 340 00:20:09,080 --> 00:20:13,040 Speaker 1: But is it just too hard for people in Middle 341 00:20:13,080 --> 00:20:17,520 Speaker 1: America to imagine paying fifteen dollars an hour? How does 342 00:20:17,560 --> 00:20:20,879 Speaker 1: it shake out? Yeah, that's the problem is that several 343 00:20:20,920 --> 00:20:24,520 Speaker 1: minimum wage is a floor and and I think too 344 00:20:24,520 --> 00:20:27,639 Speaker 1: many people look at it as what everybody's gotta gotta 345 00:20:27,680 --> 00:20:32,199 Speaker 1: be making, and it really is a geographic uh issue. 346 00:20:32,520 --> 00:20:35,520 Speaker 1: So should somebody in New York be getting fifteen an hour? Maybe? 347 00:20:35,520 --> 00:20:38,720 Speaker 1: Should somebody in Tulta maybe not? And I think if 348 00:20:38,760 --> 00:20:42,639 Speaker 1: they could compromise somehow, it's become seven, seventy five or 349 00:20:42,640 --> 00:20:45,439 Speaker 1: fifteen and nothing in between. And maybe it's time for 350 00:20:45,480 --> 00:20:48,400 Speaker 1: a ten or eleven dollar an hour minimum wage federally, 351 00:20:48,600 --> 00:20:52,560 Speaker 1: but most of the municipalities are drawing that line up anyways. 352 00:20:52,800 --> 00:20:55,720 Speaker 1: And I think you're looking at small retail businesses. Listen, 353 00:20:55,880 --> 00:21:00,679 Speaker 1: I work in downtown Chicago. We have uh Sundurys slash 354 00:21:00,720 --> 00:21:03,879 Speaker 1: convenience store in our lobby that was run by an 355 00:21:03,920 --> 00:21:06,720 Speaker 1: Indian immigrant for twenty years. He's not a business now. 356 00:21:07,280 --> 00:21:09,479 Speaker 1: And even if he could come back, it's vacant. He's been. 357 00:21:09,520 --> 00:21:12,640 Speaker 1: He's gone because nobody was coming into the office. Even 358 00:21:12,640 --> 00:21:14,520 Speaker 1: if he could, he couldn't have afforded to keep it 359 00:21:14,560 --> 00:21:16,960 Speaker 1: running by paying somebody fifteen dollars an hour to work 360 00:21:17,000 --> 00:21:19,920 Speaker 1: with him. So we've got real problems to think that 361 00:21:19,920 --> 00:21:25,640 Speaker 1: that's what's gonna be the stagger to keep the economy going. 362 00:21:25,920 --> 00:21:27,840 Speaker 1: It's not You've got to get people working and help 363 00:21:27,920 --> 00:21:30,280 Speaker 1: people and and paying them more isn't going to help 364 00:21:30,280 --> 00:21:34,760 Speaker 1: the entrepreneur in the small business owner, It's gonna hurt him. Hey, Tom, 365 00:21:34,760 --> 00:21:38,080 Speaker 1: thanks so much. We appreciate that as always. Tom Gimble, 366 00:21:38,200 --> 00:21:40,399 Speaker 1: founder at CEO of LASAL Network. We love talking to 367 00:21:40,400 --> 00:21:44,080 Speaker 1: Tom on these jobs days. Uh, Tom is you know, Matt, 368 00:21:44,119 --> 00:21:45,720 Speaker 1: you know, we've been talking to Tom for a long time. 369 00:21:45,760 --> 00:21:49,280 Speaker 1: He's been, you know, pretty consistently bullish on the whole 370 00:21:49,800 --> 00:21:52,639 Speaker 1: labor situation in his country, you know, really confident that 371 00:21:52,720 --> 00:21:55,000 Speaker 1: jobs would come back as uh, you know, the vaccines 372 00:21:55,000 --> 00:21:57,520 Speaker 1: get into the marketplace. I think it's pretty fascinating the 373 00:21:57,520 --> 00:22:01,080 Speaker 1: point he made about travel, Paul, you know, be big companies, 374 00:22:01,119 --> 00:22:03,520 Speaker 1: not only are the bean counters saying, look, we made 375 00:22:03,760 --> 00:22:06,520 Speaker 1: so much money cutting back travel, let's keep it. Let's 376 00:22:06,560 --> 00:22:09,960 Speaker 1: keep it down. But you've got big HR offices also 377 00:22:10,000 --> 00:22:13,160 Speaker 1: who are saying not yet, let's let's wait a couple 378 00:22:13,160 --> 00:22:15,479 Speaker 1: more weeks, a couple more months because they don't want 379 00:22:15,480 --> 00:22:18,359 Speaker 1: their employees getting infected. That's when the small businesses are 380 00:22:18,359 --> 00:22:19,880 Speaker 1: going to be able to get a leg up. Yeah, 381 00:22:19,920 --> 00:22:21,880 Speaker 1: I think that's a good that's a good point. So, 382 00:22:22,000 --> 00:22:23,879 Speaker 1: but light at the end of the tunnel, as we 383 00:22:24,000 --> 00:22:30,440 Speaker 1: like to say. I am here in Berlin. Germany has 384 00:22:30,560 --> 00:22:33,879 Speaker 1: said it's loosening the lockdown, but you really can't do 385 00:22:33,960 --> 00:22:36,359 Speaker 1: anything except for go to the barber, which is no 386 00:22:36,520 --> 00:22:40,399 Speaker 1: use to me, and uh and go to the flower shop. 387 00:22:40,720 --> 00:22:42,920 Speaker 1: It's weird, isn't it that those are the two things 388 00:22:42,960 --> 00:22:45,320 Speaker 1: they open. Hopefully by the end of the month they'll 389 00:22:45,359 --> 00:22:49,480 Speaker 1: start opening my favorite stores and restaurants in the US 390 00:22:49,800 --> 00:22:53,119 Speaker 1: many states are doing that. But is it a good idea? 391 00:22:53,640 --> 00:22:57,240 Speaker 1: Let's bring in Lauren sour right now from Johns Hopkins University, 392 00:22:57,440 --> 00:23:02,160 Speaker 1: where she is an associate professor of emergency Medicine in Lauren, Connecticut, 393 00:23:02,240 --> 00:23:07,440 Speaker 1: now joining Texas and Mississippi in reopening the state lifting restrictions. 394 00:23:07,680 --> 00:23:10,040 Speaker 1: Is it too soon? I mean Germany is like nowhere 395 00:23:10,119 --> 00:23:14,359 Speaker 1: near that. Yeah. I mean my personal opinion, and I 396 00:23:14,400 --> 00:23:16,119 Speaker 1: think the opinion of many of my colleagues is it 397 00:23:16,200 --> 00:23:18,240 Speaker 1: is a bit too soon. It sort of feels like 398 00:23:18,680 --> 00:23:21,280 Speaker 1: we've put in all this hard work we've done on 399 00:23:21,520 --> 00:23:24,520 Speaker 1: all of this staying home and wearing the masks and 400 00:23:24,520 --> 00:23:27,360 Speaker 1: and participating in all these restrictions. That have been challenging 401 00:23:27,400 --> 00:23:30,720 Speaker 1: for everyone, and we're watching all of that hard work 402 00:23:30,760 --> 00:23:34,679 Speaker 1: potentially crumble. Um, just because of a few weeks of 403 00:23:34,720 --> 00:23:36,479 Speaker 1: good numbers. You know, we have a little bit more 404 00:23:36,480 --> 00:23:38,080 Speaker 1: of a ways to go, and I think we were 405 00:23:38,080 --> 00:23:40,320 Speaker 1: all sort of hoping that we would see these states 406 00:23:40,680 --> 00:23:43,760 Speaker 1: maintained for just a bit longer. Lauren, give us a 407 00:23:43,760 --> 00:23:46,840 Speaker 1: sense of how things are on the ground. Um. We 408 00:23:47,240 --> 00:23:49,800 Speaker 1: know the headline numbers generally are are trending very much 409 00:23:49,840 --> 00:23:52,480 Speaker 1: in the right direction in terms of vaccinations and so on. 410 00:23:52,840 --> 00:23:56,160 Speaker 1: But at the Johns Hopkins University Hospital in Baltimore, how 411 00:23:56,160 --> 00:23:59,639 Speaker 1: are things going. Yeah, the numbers are definitely looking better. 412 00:24:00,200 --> 00:24:03,040 Speaker 1: It's still you know, everything has to be in contact, right, 413 00:24:03,040 --> 00:24:04,800 Speaker 1: So you still have to remember that while the numbers 414 00:24:04,880 --> 00:24:07,560 Speaker 1: look good and they're going down, it's still from a 415 00:24:07,640 --> 00:24:10,359 Speaker 1: very high place, right. So, Um, we had some of 416 00:24:10,400 --> 00:24:13,560 Speaker 1: the highest numbers UM so far in the pandemic just 417 00:24:13,600 --> 00:24:15,840 Speaker 1: a couple of months ago, and so that downward trend 418 00:24:15,920 --> 00:24:19,200 Speaker 1: is great to see, UM, But our hospitals are still stressed. 419 00:24:19,240 --> 00:24:22,720 Speaker 1: We're still seeing patients with covid UM. We have seen 420 00:24:22,760 --> 00:24:26,320 Speaker 1: a couple of reinfections, and I think all eyes are 421 00:24:26,359 --> 00:24:28,399 Speaker 1: on what happens over the next few weeks to a 422 00:24:28,440 --> 00:24:31,840 Speaker 1: month when as vaccine you know, sort of trickles through 423 00:24:32,080 --> 00:24:36,000 Speaker 1: through the state. I mean, the US is crushing it 424 00:24:36,040 --> 00:24:39,239 Speaker 1: in terms of vaccines. You guys are up to like 425 00:24:39,400 --> 00:24:43,440 Speaker 1: almost two million vaccines a day, right and here in Germany, 426 00:24:43,520 --> 00:24:46,080 Speaker 1: which is the largest economy in Europe by the way, 427 00:24:46,200 --> 00:24:48,280 Speaker 1: and I don't know what's going on. Very good at 428 00:24:48,320 --> 00:24:51,440 Speaker 1: building cars and stuff. They've vaccinated like forty eight people 429 00:24:51,480 --> 00:24:54,399 Speaker 1: in the past couple of weeks. Um, what is the 430 00:24:54,520 --> 00:24:59,920 Speaker 1: US done right in that sense? Lauren? I think one 431 00:25:00,000 --> 00:25:02,399 Speaker 1: of the things that has been done right in in 432 00:25:02,480 --> 00:25:06,200 Speaker 1: distribution of vaccine is UM really a push to make 433 00:25:06,200 --> 00:25:09,000 Speaker 1: decisions to get vaccine into people's arms. So the second 434 00:25:09,040 --> 00:25:11,640 Speaker 1: we get hands on vaccine, UM, we push it through 435 00:25:11,680 --> 00:25:15,919 Speaker 1: these systems. It has been challenging because those systems are disconnected. UM. 436 00:25:16,040 --> 00:25:21,040 Speaker 1: They felt sluggish at first, but we leveraged global national 437 00:25:21,119 --> 00:25:24,760 Speaker 1: level infrastructure to really put vaccine into the hands of 438 00:25:24,800 --> 00:25:28,080 Speaker 1: local vaccinators and that's huge. So the next steps are 439 00:25:28,480 --> 00:25:31,600 Speaker 1: improving access to those hard to reach communities UM, which 440 00:25:31,640 --> 00:25:34,440 Speaker 1: many would argue, myself included that should have been done 441 00:25:34,520 --> 00:25:36,359 Speaker 1: up front. But we have a lot more work to 442 00:25:36,400 --> 00:25:39,119 Speaker 1: do UM to make sure that people who can't you know, 443 00:25:39,200 --> 00:25:42,080 Speaker 1: simply drive up to their hospital, wait in line or 444 00:25:42,119 --> 00:25:44,560 Speaker 1: wait on the computer to get that to get that appointment, 445 00:25:44,960 --> 00:25:47,800 Speaker 1: UM and walk in and get it safely. UM still 446 00:25:47,880 --> 00:25:50,240 Speaker 1: have access. So if they don't have technology access that 447 00:25:50,280 --> 00:25:52,600 Speaker 1: they don't have someone who can transport them to get vaccine. 448 00:25:52,640 --> 00:25:55,199 Speaker 1: All those things or where we really need to focus 449 00:25:55,320 --> 00:25:58,280 Speaker 1: right now. But you're right where we're doing. We're putting 450 00:25:59,040 --> 00:26:01,159 Speaker 1: a lot of vaccine into a lot of people right now. 451 00:26:01,240 --> 00:26:05,720 Speaker 1: If I want to point out, if Germany were nearly 452 00:26:05,840 --> 00:26:10,240 Speaker 1: as efficient um and smart about this as the US, 453 00:26:10,280 --> 00:26:12,600 Speaker 1: if Germany was vaccinating at the same rate as you, 454 00:26:12,680 --> 00:26:16,959 Speaker 1: we'd be done. We would have vaccinated every single man 455 00:26:17,080 --> 00:26:19,880 Speaker 1: and woman over the age of what fifteen. I don't 456 00:26:19,880 --> 00:26:22,800 Speaker 1: know if they're vaccinating kids anywhere, but all of us 457 00:26:22,800 --> 00:26:25,920 Speaker 1: would be finished if we had done in the US way. Yeah, 458 00:26:26,000 --> 00:26:28,440 Speaker 1: it's uh, it's just hopefully you guys can get the 459 00:26:28,480 --> 00:26:31,840 Speaker 1: momentum there, Matt. But Lauren, you know, one of the 460 00:26:31,840 --> 00:26:33,960 Speaker 1: concerns that we all had and we still have obviously, 461 00:26:34,080 --> 00:26:37,240 Speaker 1: is the folks that just don't get vaccinations. They don't 462 00:26:37,240 --> 00:26:39,679 Speaker 1: trust vaccinations in general, and maybe in particular, or they 463 00:26:39,720 --> 00:26:43,720 Speaker 1: don't trust this COVID vaccination for a variety of reasons. 464 00:26:44,359 --> 00:26:46,960 Speaker 1: Are you having those conversations with those people and how 465 00:26:46,960 --> 00:26:49,840 Speaker 1: are they going? Yeah? Absolutely, I think a lot of 466 00:26:49,840 --> 00:26:52,639 Speaker 1: work is being done right now to improve UM that 467 00:26:52,800 --> 00:26:56,680 Speaker 1: vaccine conversation, particularly in vaccine hesitant group, and a lot 468 00:26:56,720 --> 00:27:00,359 Speaker 1: of that means working with community members, working with both 469 00:27:00,359 --> 00:27:04,280 Speaker 1: from vaccine hesitant communities who UM really can tell the 470 00:27:04,320 --> 00:27:08,480 Speaker 1: story to the vaccine distribution planners and the the access 471 00:27:08,520 --> 00:27:12,560 Speaker 1: personnel about why there is this hesitancy. And I think 472 00:27:12,560 --> 00:27:15,879 Speaker 1: that hesitancy gets sort of convoluted when you additionally add 473 00:27:15,920 --> 00:27:18,280 Speaker 1: access issues, and so those have to be addressed in 474 00:27:18,400 --> 00:27:21,320 Speaker 1: tandem UM making sure that communities that have high levels 475 00:27:21,359 --> 00:27:25,600 Speaker 1: of hesitancy don't have high levels of inaccessibility UM so 476 00:27:25,640 --> 00:27:29,000 Speaker 1: that as people come on board to getting vaccine and 477 00:27:29,280 --> 00:27:32,280 Speaker 1: they make their decision Okay, I'm gonna go get this vaccine, 478 00:27:32,880 --> 00:27:34,720 Speaker 1: they should then be able to get the vaccine. And 479 00:27:34,720 --> 00:27:36,760 Speaker 1: that is a huge piece of the puzzle, because if 480 00:27:36,800 --> 00:27:39,080 Speaker 1: you have them for a moment to get vaccine, they 481 00:27:39,119 --> 00:27:42,159 Speaker 1: may change their mind if it's just too hard. By 482 00:27:42,160 --> 00:27:47,200 Speaker 1: the way I've been I've spent the last year collecting masks. 483 00:27:47,280 --> 00:27:53,120 Speaker 1: I've got Ducati masks, BMW masks, I've got Grateful Dead masks. 484 00:27:53,560 --> 00:27:55,760 Speaker 1: Am I gonna be able to keep using these? Or 485 00:27:55,840 --> 00:27:58,760 Speaker 1: are we going to be done pretty soon? I think 486 00:27:58,760 --> 00:28:02,000 Speaker 1: we're going to see masks in various degrees of use 487 00:28:02,080 --> 00:28:04,200 Speaker 1: for quite some time to come. I mean, I think 488 00:28:04,440 --> 00:28:07,240 Speaker 1: as we're seeing already in the US MAX that mask 489 00:28:07,400 --> 00:28:10,880 Speaker 1: mandates are being um taken away, But that doesn't mean 490 00:28:10,880 --> 00:28:14,160 Speaker 1: you can't use them. And so in circumstances where people 491 00:28:14,200 --> 00:28:16,720 Speaker 1: may you may feel less safe as an individual, or 492 00:28:16,760 --> 00:28:18,600 Speaker 1: you may be going to a place where you feel 493 00:28:18,640 --> 00:28:21,320 Speaker 1: more vulnerable, UM, we can You'll be able to use 494 00:28:21,359 --> 00:28:23,399 Speaker 1: those master as long as you want. UM. But I 495 00:28:23,440 --> 00:28:26,080 Speaker 1: do think there will be a reduction of mask usage 496 00:28:26,280 --> 00:28:29,359 Speaker 1: as we get more people vaccinated. Hey, Lauren, thank you 497 00:28:29,400 --> 00:28:32,440 Speaker 1: so much. We always appreciate this weekly check in helping 498 00:28:32,520 --> 00:28:34,400 Speaker 1: us stay as smart as we can on this topic. 499 00:28:34,440 --> 00:28:36,960 Speaker 1: Laurence Sour, Social Professor of Emergency Medicine at the John's 500 00:28:36,960 --> 00:28:39,240 Speaker 1: Hopkins School of Medicine, I should not that the Bloomberg 501 00:28:39,240 --> 00:28:41,480 Speaker 1: School of Public Health support about michaelare Bloomberg's now or 502 00:28:41,480 --> 00:28:45,720 Speaker 1: Bloomberg LP of Blooberg to lamp. Thanks for listening to 503 00:28:45,760 --> 00:28:49,280 Speaker 1: the Bloomberg Markets podcast. You can subscribe and listen to 504 00:28:49,360 --> 00:28:53,520 Speaker 1: interviews of Apple podcasts or whatever podcast platform you prefer. 505 00:28:53,880 --> 00:28:57,840 Speaker 1: I'm Matt Miller. I'm on Twitter at Matt Miller three. 506 00:28:58,320 --> 00:29:00,760 Speaker 1: Put on false wwhiney. I'm on Twitter at at Sweeney 507 00:29:00,840 --> 00:29:03,479 Speaker 1: Before the podcast. You can always catch us worldwide at 508 00:29:03,480 --> 00:29:04,280 Speaker 1: Bloomberg Radio