1 00:00:00,720 --> 00:00:03,720 Speaker 1: This is Bloomberg Business Week. I'm Carol Masser and I'm 2 00:00:03,800 --> 00:00:06,320 Speaker 1: Jason Kelley. We're right here every day bringing you the 3 00:00:06,400 --> 00:00:11,160 Speaker 1: latest news from the world's of business and finance, plus technology, politics, economics, 4 00:00:11,240 --> 00:00:14,320 Speaker 1: all harnessing the power of Business Week reporters and editors 5 00:00:14,440 --> 00:00:16,439 Speaker 1: and of course Girl that's part of a team of 6 00:00:16,520 --> 00:00:20,439 Speaker 1: twenty seven hundred journalists and analysts more than a hundred 7 00:00:20,480 --> 00:00:23,240 Speaker 1: and twenty countries and Jason. You can download Bloomberg Business 8 00:00:23,280 --> 00:00:26,239 Speaker 1: Week on iTunes, SoundCloud, bl Bloomberg dot com. You can 9 00:00:26,280 --> 00:00:28,640 Speaker 1: also listen to our radio show at two pm Eastern 10 00:00:28,680 --> 00:00:31,560 Speaker 1: on Bloomberg Radio every weekday, or watch us on YouTube 11 00:00:31,600 --> 00:00:35,519 Speaker 1: by searching Bloomberg Global News. We do want to get 12 00:00:35,520 --> 00:00:38,160 Speaker 1: an update on the virus too, and someone who has 13 00:00:38,200 --> 00:00:42,880 Speaker 1: seen other outbreaks and um pandemics is our next guest. 14 00:00:42,920 --> 00:00:46,040 Speaker 1: He's Tolbert nin Swa and he's the Senior Research Associate 15 00:00:46,040 --> 00:00:50,400 Speaker 1: at Johns Hopkins University Bloomberg School of Public Health UM 16 00:00:50,440 --> 00:00:52,519 Speaker 1: and he's former Deputy Minister of Health for the Republic 17 00:00:52,600 --> 00:00:54,520 Speaker 1: of Liberia. He has seen a lot, of course. The 18 00:00:54,560 --> 00:00:58,040 Speaker 1: Bloomberg School of Public Health, supported by Michael R. Bloomberg, 19 00:00:58,080 --> 00:01:02,200 Speaker 1: founder of this Namesake Network and Tolbert joining us on 20 00:01:02,240 --> 00:01:05,480 Speaker 1: the phone from Smyrna, Delaware. Tolbert's so nice to have 21 00:01:05,600 --> 00:01:07,840 Speaker 1: you here with us, um. I have been so looking 22 00:01:07,840 --> 00:01:11,640 Speaker 1: forward to talking with you. Tell us about your experience 23 00:01:12,319 --> 00:01:15,840 Speaker 1: and what you've seen in the past with ebola and 24 00:01:15,920 --> 00:01:20,440 Speaker 1: other viruses, and how it compares and to today's pandemic 25 00:01:20,440 --> 00:01:24,320 Speaker 1: and what we can learn. Thank you, go after and 26 00:01:24,440 --> 00:01:28,640 Speaker 1: hope you're keeping safe. Yes you too, Yeah, great, thank you. Yeah. 27 00:01:28,920 --> 00:01:32,399 Speaker 1: They think is we've learned a lot. One of the 28 00:01:32,520 --> 00:01:35,880 Speaker 1: things that I think that is in our toolbox to 29 00:01:36,080 --> 00:01:40,640 Speaker 1: be with COVID nineteen is the issue of contact trazing. 30 00:01:41,840 --> 00:01:45,520 Speaker 1: It's been done played, but it's an important too because 31 00:01:46,319 --> 00:01:52,600 Speaker 1: contact trazy was a very key part of the sixteen 32 00:01:52,640 --> 00:01:55,760 Speaker 1: Ebola outbreak, which I was the incident manager. And what 33 00:01:55,960 --> 00:02:00,640 Speaker 1: contact trazing does, it can help end COVID nineteen because 34 00:02:00,680 --> 00:02:07,080 Speaker 1: the objective is to identify exposed persons and prevent secondary infection. 35 00:02:07,840 --> 00:02:11,840 Speaker 1: If people in the first generation of cases of infection 36 00:02:12,600 --> 00:02:16,919 Speaker 1: cannot generate addition of cases, then you can end the outbreak. 37 00:02:17,000 --> 00:02:19,200 Speaker 1: Then we can all open up and be happy and 38 00:02:19,280 --> 00:02:23,920 Speaker 1: move along. So but the terrible thing is that one 39 00:02:23,919 --> 00:02:27,919 Speaker 1: one missed contact can keep this outbreak going and going, 40 00:02:27,919 --> 00:02:30,520 Speaker 1: and so contact RAS is an important tools. Not one 41 00:02:30,520 --> 00:02:34,560 Speaker 1: of the lessons that we learned in the ePol are 42 00:02:34,600 --> 00:02:39,600 Speaker 1: outbreaking West Africa. It brought the outbreak under control. Very important. 43 00:02:41,560 --> 00:02:45,440 Speaker 1: So October it's interesting to hear more and more about 44 00:02:45,520 --> 00:02:50,080 Speaker 1: contact tracing. We also know from surveys and polls that 45 00:02:50,639 --> 00:02:55,400 Speaker 1: some people are either skeptical about it or resistant to 46 00:02:55,520 --> 00:02:58,960 Speaker 1: it and impart based on who's going to be in 47 00:02:59,160 --> 00:03:02,200 Speaker 1: charge of it. How is the best way to sort 48 00:03:02,200 --> 00:03:05,680 Speaker 1: of create a system that people will not only believe in, 49 00:03:05,880 --> 00:03:11,480 Speaker 1: but will effectively follow and participate in. So thank you 50 00:03:11,880 --> 00:03:16,919 Speaker 1: they are they are contactories in person ports. The first 51 00:03:16,919 --> 00:03:21,160 Speaker 1: thing we must know is that contact trasing is not new. 52 00:03:21,480 --> 00:03:26,200 Speaker 1: It's a public health for all public health interventions that 53 00:03:26,240 --> 00:03:31,320 Speaker 1: have been used to manage major public health academics. Number one, 54 00:03:31,360 --> 00:03:35,160 Speaker 1: you know the words eradicate a small pox, baclasses, so 55 00:03:35,280 --> 00:03:39,400 Speaker 1: they have been used, facialist hien is vaccine preventable. In 56 00:03:39,720 --> 00:03:45,720 Speaker 1: this there are legal business person ports and contact trasing 57 00:03:46,760 --> 00:03:51,000 Speaker 1: that's a legal authority from public health intervention. Even in 58 00:03:51,040 --> 00:03:56,400 Speaker 1: the U S. Constitutionist laws clauses to protect the public 59 00:03:56,440 --> 00:04:00,800 Speaker 1: welfare as well are common law and general person imports. 60 00:04:00,920 --> 00:04:03,760 Speaker 1: One thing that can encourage the population of the United 61 00:04:03,760 --> 00:04:08,600 Speaker 1: States is probably helps me to be protected. We require 62 00:04:08,600 --> 00:04:12,960 Speaker 1: our children to tect vaccines, to attend schools, to protect 63 00:04:12,960 --> 00:04:17,839 Speaker 1: the communities, to protect hell and safety. And if you 64 00:04:17,960 --> 00:04:21,599 Speaker 1: have tobacco losses, for example, and you refuse to take 65 00:04:21,640 --> 00:04:25,120 Speaker 1: your medication, you can be required to do so. But 66 00:04:25,279 --> 00:04:27,960 Speaker 1: it have the partner of these country, so you cannot 67 00:04:28,160 --> 00:04:32,800 Speaker 1: affect other people the same way with COVID nineteens. So 68 00:04:33,000 --> 00:04:36,520 Speaker 1: contact trasing to make it simple. This is where together 69 00:04:37,480 --> 00:04:41,520 Speaker 1: we saw the audience to limit the spread of COVID nineteen. 70 00:04:41,640 --> 00:04:44,680 Speaker 1: The Johns Hopkins bloomers who are public at all, the 71 00:04:44,720 --> 00:04:48,160 Speaker 1: bloom that we designed this course so that people can 72 00:04:48,240 --> 00:04:51,400 Speaker 1: understand what it is and it's free. Is online, right, 73 00:04:51,520 --> 00:04:54,280 Speaker 1: It's interesting I've seen that, and um, you're right. It's 74 00:04:54,279 --> 00:04:56,400 Speaker 1: a course for people who want to just understand it 75 00:04:56,560 --> 00:04:59,479 Speaker 1: and know how it works or possibly get involved in 76 00:04:59,520 --> 00:05:02,640 Speaker 1: helping the process. I do want to ask you one question, 77 00:05:03,440 --> 00:05:06,640 Speaker 1: how do you do successfully in the right way contact 78 00:05:06,680 --> 00:05:09,240 Speaker 1: tracing as well start to reopen the economy. Can they 79 00:05:09,279 --> 00:05:15,280 Speaker 1: go hand in hand. The My fear is that from 80 00:05:15,279 --> 00:05:19,840 Speaker 1: from an expert point of view, the COVID nineteen the 81 00:05:20,160 --> 00:05:24,240 Speaker 1: kid fatality rate is lord the number those right now, 82 00:05:24,320 --> 00:05:26,680 Speaker 1: we're talking about a number in the in the sevent days, 83 00:05:26,880 --> 00:05:30,560 Speaker 1: thousands Americans close to that, if not in a thousand 84 00:05:30,720 --> 00:05:34,680 Speaker 1: right now. We're looking at it data shortly. But you 85 00:05:34,839 --> 00:05:38,280 Speaker 1: don't want there was a reason why we're close up, 86 00:05:38,480 --> 00:05:41,799 Speaker 1: the reasoning we're closed up and lockdown people for social 87 00:05:41,880 --> 00:05:45,159 Speaker 1: distances and order that it was because of an infection 88 00:05:45,960 --> 00:05:50,080 Speaker 1: imagining they our break started with a single kise, a 89 00:05:50,240 --> 00:05:55,039 Speaker 1: few k fewer cases copping to come online. Now, if 90 00:05:55,320 --> 00:06:00,919 Speaker 1: you open up without getting to appreciate your ball euro 91 00:06:01,040 --> 00:06:03,480 Speaker 1: cases and don't know all of their contact, it is 92 00:06:03,600 --> 00:06:07,520 Speaker 1: inconceivable that we are giving the virus a blank check 93 00:06:07,640 --> 00:06:11,880 Speaker 1: to engulf us and continue to exist. Every parable loss 94 00:06:12,520 --> 00:06:15,559 Speaker 1: that posted as a stent ship threat to make kind 95 00:06:16,240 --> 00:06:21,520 Speaker 1: and reopening prematurely for me will cost more damage than good. 96 00:06:21,680 --> 00:06:24,479 Speaker 1: So we have to make sure that it is don't 97 00:06:24,560 --> 00:06:28,640 Speaker 1: carefully we look at its size and the data which 98 00:06:28,760 --> 00:06:32,840 Speaker 1: district which community have an infection and tomport you. As 99 00:06:32,920 --> 00:06:36,680 Speaker 1: we mentioned earlier, we're also integral in the response to 100 00:06:36,839 --> 00:06:40,080 Speaker 1: Ebola in West Africa a few years ago, and I wonder, 101 00:06:40,320 --> 00:06:45,680 Speaker 1: given that experience and in anticipation of maybe a second 102 00:06:45,800 --> 00:06:50,440 Speaker 1: wave of COVID nineteen here in this country in the fall, 103 00:06:50,800 --> 00:06:54,280 Speaker 1: what have we learned, both from your past experience and 104 00:06:54,480 --> 00:06:57,120 Speaker 1: from what we know so far about COVID nineteen about 105 00:06:57,160 --> 00:07:00,920 Speaker 1: how we deal with this when it comes back. So 106 00:07:01,080 --> 00:07:04,880 Speaker 1: thank you Jackson. A look time time is very very 107 00:07:05,120 --> 00:07:10,520 Speaker 1: centual for for disease outbreaks. During the Bola epidemic in 108 00:07:10,640 --> 00:07:14,880 Speaker 1: West Africa, our slogan was it is not over until 109 00:07:15,080 --> 00:07:18,520 Speaker 1: it is over, so we were looking after every single 110 00:07:18,640 --> 00:07:23,880 Speaker 1: case testing in creasing their contact. Moving on, we need 111 00:07:23,960 --> 00:07:28,560 Speaker 1: to be aggressive, take aggressive action for testing suspected and 112 00:07:28,760 --> 00:07:33,720 Speaker 1: provo cases and robust contact crazing to concur, to conquer, 113 00:07:34,280 --> 00:07:39,160 Speaker 1: storry COVID nineteen, ramping up tests, increasing of the contact, 114 00:07:39,600 --> 00:07:44,520 Speaker 1: assolating the sake we help significantly to stop COVID nineteen. 115 00:07:44,680 --> 00:07:47,520 Speaker 1: And this is where some of the things that we 116 00:07:47,720 --> 00:07:51,040 Speaker 1: need to do is people need to go the course 117 00:07:51,120 --> 00:07:53,679 Speaker 1: that is being supported by the university by the blombers 118 00:07:53,720 --> 00:07:56,840 Speaker 1: who are public helped the contact raising course. This is 119 00:07:56,920 --> 00:08:01,520 Speaker 1: just six hours to complete and about the basic information 120 00:08:01,640 --> 00:08:06,400 Speaker 1: of the virus fundamentals of contact creasing. So as how 121 00:08:06,480 --> 00:08:11,000 Speaker 1: to define that case, identify their contact, calculated the number 122 00:08:11,040 --> 00:08:14,160 Speaker 1: of time the contact was in assolution you goin to 123 00:08:14,240 --> 00:08:18,520 Speaker 1: do and we anticipate for another wave of the outbreak 124 00:08:18,560 --> 00:08:20,840 Speaker 1: even we haven't got out of the Hoosier. So it's 125 00:08:20,880 --> 00:08:23,400 Speaker 1: even difficult to talk about another way we have to 126 00:08:23,520 --> 00:08:25,800 Speaker 1: beat this thing down. Well, you know, it's interesting that 127 00:08:25,880 --> 00:08:27,440 Speaker 1: you say that, because I think you know, part of 128 00:08:27,480 --> 00:08:31,160 Speaker 1: the process, right is educating everyone. There's so much information 129 00:08:31,320 --> 00:08:35,599 Speaker 1: floating around, and your point is we all have to 130 00:08:35,720 --> 00:08:39,600 Speaker 1: understand how contact tracing works so that we can essentially 131 00:08:39,679 --> 00:08:43,200 Speaker 1: buy into it. Um. Because rightfully, so that's a way 132 00:08:43,240 --> 00:08:46,360 Speaker 1: of really getting hold of this virus. Having said that, 133 00:08:46,440 --> 00:08:48,800 Speaker 1: I do wonder then, as you see in the United 134 00:08:48,840 --> 00:08:53,920 Speaker 1: States States reopening, the process of coming back, Uh, it's 135 00:08:53,960 --> 00:08:57,000 Speaker 1: not equal across the country. Do you think the process 136 00:08:57,120 --> 00:08:59,920 Speaker 1: that's being done right now of reopening and people doing 137 00:09:00,040 --> 00:09:02,079 Speaker 1: different things in different places, does it make sense or 138 00:09:02,120 --> 00:09:05,959 Speaker 1: is it dangerous? It's it's a huge race. It's a 139 00:09:06,120 --> 00:09:12,000 Speaker 1: huge race. Um. I'm seriously concerned after dealing with refraction 140 00:09:12,120 --> 00:09:17,640 Speaker 1: disease like ebola, don't the magnitude and the the fatality 141 00:09:17,840 --> 00:09:20,840 Speaker 1: is not the same the keys fatality rates for ebol at, 142 00:09:20,840 --> 00:09:23,600 Speaker 1: which is about fifty of the people that will get 143 00:09:23,640 --> 00:09:25,959 Speaker 1: the disease with COVID nineteen, that is less than two 144 00:09:27,080 --> 00:09:31,200 Speaker 1: But in that COVID nineteen is still effecting and killing 145 00:09:31,240 --> 00:09:34,439 Speaker 1: a lot of Americans, and so I would be very 146 00:09:34,600 --> 00:09:39,640 Speaker 1: very cautious as signed sound is warning that it is 147 00:09:39,800 --> 00:09:43,079 Speaker 1: very much premature to open up this country when you're 148 00:09:43,080 --> 00:09:48,160 Speaker 1: having huge infection states without America is one country. This 149 00:09:48,400 --> 00:09:53,920 Speaker 1: is one country. So whether a state in a zero 150 00:09:54,160 --> 00:09:58,240 Speaker 1: cases and another state is having a disease, which would 151 00:09:58,240 --> 00:10:00,679 Speaker 1: be prepared to label the disease on let's somewhere, is 152 00:10:00,720 --> 00:10:03,520 Speaker 1: telling me that we are now give up, that this 153 00:10:03,679 --> 00:10:06,040 Speaker 1: is an endemic disease that we're going to live with. 154 00:10:06,160 --> 00:10:09,120 Speaker 1: Okay with people, but once there is no note your 155 00:10:09,360 --> 00:10:12,839 Speaker 1: new vaccines to open this country while you're port in 156 00:10:12,880 --> 00:10:16,200 Speaker 1: the population of the United States are very very serious, right. 157 00:10:16,920 --> 00:10:21,440 Speaker 1: This is why, this is why we are in forming 158 00:10:21,480 --> 00:10:24,880 Speaker 1: the public. It's important. Part of the course is skills 159 00:10:24,960 --> 00:10:29,839 Speaker 1: for effective communications, increasing processes such as what it means 160 00:10:29,920 --> 00:10:32,959 Speaker 1: to be an active listener and how to deal with 161 00:10:33,120 --> 00:10:36,880 Speaker 1: the common challenges that arise will be investigating cases, so 162 00:10:37,040 --> 00:10:41,600 Speaker 1: contact raising is very important. Testing is important. Let us 163 00:10:41,640 --> 00:10:45,199 Speaker 1: get to zero, then we know that we're making a progress. Right. 164 00:10:45,600 --> 00:10:47,719 Speaker 1: All right, Well, we really appreciate your time today. Thank 165 00:10:47,720 --> 00:10:51,200 Speaker 1: you so much. Tolbert nian Swa is Senior Research Associate 166 00:10:51,280 --> 00:10:55,000 Speaker 1: in the Department of International Health, Chance Hopkins University, Bloomberg 167 00:10:55,040 --> 00:10:58,040 Speaker 1: School of Public Health. Also importantly the former Deputy Minister 168 00:10:58,120 --> 00:11:01,920 Speaker 1: of Health for the Republic of Liberia leading the Abola outbreak. 169 00:11:01,960 --> 00:11:04,599 Speaker 1: And I have to say, Carol, it strikes me in 170 00:11:04,720 --> 00:11:08,800 Speaker 1: having this conversation that if you say to people here 171 00:11:08,800 --> 00:11:11,760 Speaker 1: in America, this is like Ebola, we have lessons to 172 00:11:11,840 --> 00:11:14,959 Speaker 1: learn from me Bola, maybe that will sort of grab 173 00:11:15,040 --> 00:11:19,120 Speaker 1: people a little bit more and understand how critical these 174 00:11:19,200 --> 00:11:23,200 Speaker 1: things are. Right now, you're listening to Bloomberg Business Week, 175 00:11:24,760 --> 00:11:27,839 Speaker 1: Jason Kelly, Carol Masster, and I believe a coughing Joel Webber. 176 00:11:28,040 --> 00:11:30,680 Speaker 1: Hopefully he will catch his breath there and join us 177 00:11:30,720 --> 00:11:33,040 Speaker 1: in a second. He is the editor of Bloomberg Business Week, 178 00:11:33,120 --> 00:11:36,200 Speaker 1: joining us on a remote line from Brooklyn. Also Sarah Fryer, 179 00:11:36,240 --> 00:11:39,679 Speaker 1: tech reporter for Bloomberg and notably the author of the 180 00:11:39,880 --> 00:11:43,760 Speaker 1: fantastic new book No Filter, The Inside Story of Instagram, 181 00:11:43,840 --> 00:11:47,920 Speaker 1: the number one new release on Amazon. I noted yesterday, 182 00:11:48,040 --> 00:11:51,439 Speaker 1: Sarah Joins is on the phone from San Francisco. She's 183 00:11:51,520 --> 00:11:55,560 Speaker 1: back hard at work pumping out great stories for the magazine. 184 00:11:55,800 --> 00:11:59,880 Speaker 1: So I have to start with you, Joel. It was 185 00:12:00,000 --> 00:12:02,839 Speaker 1: a you coughing there you go, thank you? Was not 186 00:12:05,200 --> 00:12:07,600 Speaker 1: it was one of our producers. Sorry, John, didn't need 187 00:12:07,600 --> 00:12:12,199 Speaker 1: to call you out. It's okay, Joe. We'll still like 188 00:12:12,360 --> 00:12:16,280 Speaker 1: you if you're coughing on air, It's okay. Uh So 189 00:12:16,520 --> 00:12:20,079 Speaker 1: this story started actually with some amazing little tweets that 190 00:12:20,600 --> 00:12:23,679 Speaker 1: I saw Sarah doing, and it was sort of just 191 00:12:23,800 --> 00:12:27,679 Speaker 1: her asking people in Silicon Valley of like, hey, as 192 00:12:28,000 --> 00:12:30,120 Speaker 1: as companies announced that you don't need to come into 193 00:12:30,200 --> 00:12:32,920 Speaker 1: the office between and into the year, what are your plans? 194 00:12:33,440 --> 00:12:35,839 Speaker 1: And the moment I saw her tweets those questions, I 195 00:12:35,960 --> 00:12:37,959 Speaker 1: was like, whatever these answers are, I want to know 196 00:12:38,080 --> 00:12:41,800 Speaker 1: about them, and Sarah, what did you find out? Well, 197 00:12:41,880 --> 00:12:44,440 Speaker 1: it was I just got this influx of replies from 198 00:12:44,520 --> 00:12:48,000 Speaker 1: people who said, you know what, if I can take 199 00:12:48,120 --> 00:12:50,640 Speaker 1: my text salary with me and I don't have to 200 00:12:50,720 --> 00:12:53,560 Speaker 1: go into the office, I want more space. I don't 201 00:12:53,559 --> 00:12:57,400 Speaker 1: want to be paying three thousand to four thousand dollars 202 00:12:57,559 --> 00:13:01,920 Speaker 1: in rent for an apartment isn't even close to my office, 203 00:13:02,080 --> 00:13:04,719 Speaker 1: but isn't even giving me the space I need to 204 00:13:04,760 --> 00:13:08,040 Speaker 1: feel comfortable. People with young children were feeling like they 205 00:13:08,080 --> 00:13:12,199 Speaker 1: could really use a backyard right about now. And with 206 00:13:12,480 --> 00:13:14,800 Speaker 1: that salary that you make in the tech industry, you 207 00:13:15,000 --> 00:13:17,800 Speaker 1: could live, You could buy a house pretty much anywhere 208 00:13:17,880 --> 00:13:20,040 Speaker 1: except to the Bay Area. The Bay Area has had 209 00:13:20,120 --> 00:13:24,400 Speaker 1: this incredible affordability crisis over the last few years, and 210 00:13:24,559 --> 00:13:27,840 Speaker 1: even these tech workers really can't can't buy there if 211 00:13:27,840 --> 00:13:30,920 Speaker 1: they're early in their careers yet, and that makes them 212 00:13:30,960 --> 00:13:34,280 Speaker 1: a whole lot more mobile. I gotta say, Sarah, I 213 00:13:34,400 --> 00:13:38,120 Speaker 1: keep thinking about all these grand tech campuses, right. Apple 214 00:13:38,240 --> 00:13:41,720 Speaker 1: just built a whole new headquarters, and I do wonder 215 00:13:42,000 --> 00:13:44,360 Speaker 1: if you know, as you say in your story, these 216 00:13:44,440 --> 00:13:48,360 Speaker 1: companies are known for being very office centric, and yet 217 00:13:49,040 --> 00:13:51,040 Speaker 1: maybe this will be a big change for them. I 218 00:13:51,040 --> 00:13:53,520 Speaker 1: don't know what are you hearing from the companies. It's 219 00:13:53,559 --> 00:13:56,080 Speaker 1: funny because they're building these tools for us to connect 220 00:13:56,080 --> 00:13:58,439 Speaker 1: with each other remotely, right, but they are they are 221 00:13:58,520 --> 00:14:00,959 Speaker 1: so office centric. I mean, you've seen get parodied in 222 00:14:01,559 --> 00:14:05,599 Speaker 1: in HBO Silicon Valley. You've seen you've seen people just 223 00:14:06,040 --> 00:14:08,840 Speaker 1: care so much about the perk wars, you know, are 224 00:14:08,920 --> 00:14:10,400 Speaker 1: they going to give me laundry that, Are they going 225 00:14:10,440 --> 00:14:11,880 Speaker 1: to give me yoga? Are they going to give me 226 00:14:12,440 --> 00:14:16,040 Speaker 1: uh these offsite retreats that we've heard about in the 227 00:14:16,080 --> 00:14:20,080 Speaker 1: tech industry, it really has been a tool for recruiting. 228 00:14:20,400 --> 00:14:22,680 Speaker 1: But guess what, when people go back to the office, 229 00:14:22,960 --> 00:14:26,080 Speaker 1: they're not going to have those shared shuttle buses. They're 230 00:14:26,120 --> 00:14:28,320 Speaker 1: not going to have the cafeterias where anyone can serve 231 00:14:28,400 --> 00:14:30,560 Speaker 1: themselves around food. They're not going to have these wide 232 00:14:30,640 --> 00:14:35,920 Speaker 1: up and wide open places to gather indoors. Because companies 233 00:14:35,960 --> 00:14:39,160 Speaker 1: are already talking about changing things up for coronavirus and 234 00:14:39,440 --> 00:14:41,680 Speaker 1: maybe we'll go back to cubicles, maybe we'll go back 235 00:14:41,760 --> 00:14:45,200 Speaker 1: to glass dividers, and and I just think that the 236 00:14:45,280 --> 00:14:48,000 Speaker 1: experience everyone's saying not only is the experience is going 237 00:14:48,440 --> 00:14:51,640 Speaker 1: to be so much different, but companies are realizing that 238 00:14:51,840 --> 00:14:55,240 Speaker 1: all of those investments that they made in their office 239 00:14:55,400 --> 00:14:59,680 Speaker 1: and that culture, it's their employees are still being productive 240 00:15:00,200 --> 00:15:03,960 Speaker 1: from home. And they wouldn't make announcements like this if 241 00:15:04,120 --> 00:15:07,880 Speaker 1: they if they weren't going to see uh similar level 242 00:15:07,960 --> 00:15:10,120 Speaker 1: of productivity from their staffs. I think we're going to 243 00:15:10,160 --> 00:15:12,840 Speaker 1: see a very dramatic change in the investment in the 244 00:15:12,880 --> 00:15:17,120 Speaker 1: office culture. Okay, so, Sarah, if if if I'm a 245 00:15:17,160 --> 00:15:19,880 Speaker 1: tech worker and I can live anywhere and do my 246 00:15:20,000 --> 00:15:23,760 Speaker 1: job remotely, that sounds pretty great, especially if I can 247 00:15:23,880 --> 00:15:27,640 Speaker 1: keep my salary, right. But a company might look at 248 00:15:27,680 --> 00:15:29,520 Speaker 1: that and say, you know, you know what, now that 249 00:15:29,600 --> 00:15:32,880 Speaker 1: you're remote, Um, maybe you don't deserve as much as 250 00:15:32,960 --> 00:15:35,400 Speaker 1: before when when the expectation was that you were on 251 00:15:36,000 --> 00:15:37,880 Speaker 1: on campus. And maybe there's even something that we might 252 00:15:37,920 --> 00:15:40,760 Speaker 1: be able to pay less. Um. How is how do 253 00:15:40,880 --> 00:15:46,160 Speaker 1: you foresee that playing out in two directions because employees, 254 00:15:46,320 --> 00:15:49,080 Speaker 1: once they move, maybe not for this job, maybe they'll 255 00:15:49,080 --> 00:15:51,480 Speaker 1: get to keep their their salary for a couple of 256 00:15:51,560 --> 00:15:54,920 Speaker 1: years while coronavirus is still an issue, but for the 257 00:15:55,080 --> 00:15:57,080 Speaker 1: next job, for the next gig they're trying to find 258 00:15:57,120 --> 00:16:00,480 Speaker 1: after that. The head of people at Twili, one of 259 00:16:00,520 --> 00:16:02,400 Speaker 1: the tech companies I talked to you for this, said, 260 00:16:03,200 --> 00:16:06,040 Speaker 1: it's probably bad business practice for us to pay those 261 00:16:06,080 --> 00:16:08,400 Speaker 1: people the same thing that that we would pay them 262 00:16:08,440 --> 00:16:11,800 Speaker 1: in the Bay Area. And by the way, because these 263 00:16:11,840 --> 00:16:14,920 Speaker 1: workers are working from anywhere, maybe we can recruit from 264 00:16:14,960 --> 00:16:17,920 Speaker 1: anywhere too. Maybe our next engineer doesn't have to come 265 00:16:18,360 --> 00:16:21,080 Speaker 1: from San Francisco with the salaries. Maybe they can come 266 00:16:21,080 --> 00:16:24,160 Speaker 1: from Nashville right right there, labor pool right if you 267 00:16:24,200 --> 00:16:27,080 Speaker 1: think about it, their potential, they can go anywhere they 268 00:16:27,160 --> 00:16:31,400 Speaker 1: want potentially. So, Sarah, you know you wrote about so 269 00:16:31,600 --> 00:16:34,360 Speaker 1: eloquently in your book No Filter, The Inside Story of 270 00:16:34,440 --> 00:16:37,520 Speaker 1: Instagram Bight wherever you get your books, Um, you wrote 271 00:16:37,560 --> 00:16:40,760 Speaker 1: about so well about the culture of Facebook and the 272 00:16:40,840 --> 00:16:44,720 Speaker 1: culture of Instagram. So many of these cultures, one could argue, 273 00:16:45,080 --> 00:16:48,520 Speaker 1: do rely on the culture of Silicon Valley. And as 274 00:16:48,600 --> 00:16:50,960 Speaker 1: you say, it's been parodied in Silicon Valley, it's been 275 00:16:51,000 --> 00:16:54,760 Speaker 1: celebrated in movies like The Internship. My son and I 276 00:16:54,840 --> 00:16:57,400 Speaker 1: watched that just the other night, and it's a very 277 00:16:57,480 --> 00:17:01,240 Speaker 1: attractive but also very collaborative way. It does encourage a 278 00:17:01,400 --> 00:17:05,880 Speaker 1: certain vibe. How much did these companies worry about losing 279 00:17:06,000 --> 00:17:10,160 Speaker 1: the things that made them so special? They certainly worry 280 00:17:10,200 --> 00:17:12,240 Speaker 1: about it. And that's one thing that really came through 281 00:17:12,320 --> 00:17:14,800 Speaker 1: in my reporting of the book is that employees really 282 00:17:14,880 --> 00:17:18,919 Speaker 1: cared whether the Instagram office looks different than the Facebook office, 283 00:17:19,040 --> 00:17:21,720 Speaker 1: whether they were able to build their own vibe, their 284 00:17:21,760 --> 00:17:25,880 Speaker 1: own brand, UM be as design centric in their own 285 00:17:26,000 --> 00:17:28,800 Speaker 1: way as they wanted to be. And I think that 286 00:17:29,240 --> 00:17:33,720 Speaker 1: after this, we are still going to see an emphasis 287 00:17:34,080 --> 00:17:36,840 Speaker 1: on on office culture, but it's going to take a 288 00:17:36,960 --> 00:17:39,960 Speaker 1: long time to get back to normal, and it won't 289 00:17:40,000 --> 00:17:41,720 Speaker 1: go back to how it was. There will have to 290 00:17:41,760 --> 00:17:44,760 Speaker 1: be a completely new normal. And I think that you're 291 00:17:44,800 --> 00:17:48,040 Speaker 1: going to see culture evolved, just like we're seeing the 292 00:17:48,080 --> 00:17:52,000 Speaker 1: way we communicate evolved. We are not able to you know, 293 00:17:52,119 --> 00:17:55,000 Speaker 1: I went to a Zoom wedding over the weekend. I've 294 00:17:55,040 --> 00:17:57,600 Speaker 1: been to a Zoom baby shower. Like things are going 295 00:17:58,119 --> 00:18:02,720 Speaker 1: different for a long time. Um, okay, So I want 296 00:18:02,760 --> 00:18:05,359 Speaker 1: to also have one more follow up, Sarah, And I 297 00:18:05,440 --> 00:18:07,920 Speaker 1: know you didn't go into this in the story, but 298 00:18:08,040 --> 00:18:11,280 Speaker 1: I'm really curious if we see this influx or exodus, 299 00:18:11,359 --> 00:18:16,840 Speaker 1: I guess tech exodus um from California to other places 300 00:18:16,880 --> 00:18:21,280 Speaker 1: in the country, could we potentially see they're being sort 301 00:18:21,320 --> 00:18:25,000 Speaker 1: of like a small business boom as company if people 302 00:18:25,080 --> 00:18:27,320 Speaker 1: leave big tech companies, could there be sort of a 303 00:18:27,480 --> 00:18:30,080 Speaker 1: small tech movement that comes out of the pandemic. And 304 00:18:30,119 --> 00:18:33,560 Speaker 1: so I got about forty seconds here. You're certainly going 305 00:18:33,640 --> 00:18:36,200 Speaker 1: to see the potential for the next great startup to 306 00:18:36,280 --> 00:18:39,560 Speaker 1: come from anywhere, and you're also going to see some 307 00:18:39,920 --> 00:18:43,440 Speaker 1: justification in these towns that are getting this influx of 308 00:18:43,480 --> 00:18:46,840 Speaker 1: workers with high faleries. But maybe it'll loose their economies 309 00:18:46,880 --> 00:18:49,920 Speaker 1: on the flip side. Yeah, yeah, it's going to be 310 00:18:50,000 --> 00:18:53,399 Speaker 1: fascinating to see, all right. Sarah Frere Friar, excuse me. 311 00:18:53,520 --> 00:18:56,200 Speaker 1: Sarah Fryer, great story tech reporter for Bloomberg. Also the 312 00:18:56,200 --> 00:18:59,480 Speaker 1: author of No Filter, the inside story of Instagram. It's great, 313 00:18:59,560 --> 00:19:03,199 Speaker 1: quarantine crop at Amazon, great reviews. Yeah, it's all over 314 00:19:03,240 --> 00:19:05,640 Speaker 1: the place. So it's so good you're listening to Bloomberg 315 00:19:05,720 --> 00:19:09,440 Speaker 1: business Week and a personal experience set Our next guest 316 00:19:09,520 --> 00:19:11,960 Speaker 1: on the path to creating a global management and services 317 00:19:12,040 --> 00:19:16,280 Speaker 1: medical company in a way disrupting how we approach healthcare. 318 00:19:16,359 --> 00:19:19,760 Speaker 1: She believes the pandemic may do the same. Sigel Ottsman 319 00:19:19,880 --> 00:19:23,040 Speaker 1: is founder and CEO of Medics Global and joining us 320 00:19:23,400 --> 00:19:26,520 Speaker 1: on this Thursday on the phone from Tel Aviv, Israel. Um, 321 00:19:26,600 --> 00:19:29,040 Speaker 1: see y'all, so nice to have you here with us. Um. 322 00:19:29,359 --> 00:19:31,600 Speaker 1: First of all, I hope you're doing okay, your family, 323 00:19:31,800 --> 00:19:35,480 Speaker 1: your team doing okay. Yes, I am. We're keeping safe, 324 00:19:35,960 --> 00:19:38,520 Speaker 1: putting all the efforts in it. And thank you so much, 325 00:19:38,560 --> 00:19:40,560 Speaker 1: care of for having me today and what's it like. 326 00:19:40,680 --> 00:19:42,680 Speaker 1: Give us, you know, one of the things as we've 327 00:19:42,720 --> 00:19:44,879 Speaker 1: talked to people around the world, you know, is telling 328 00:19:44,960 --> 00:19:47,480 Speaker 1: us how the virus is impacting them and what you're 329 00:19:47,520 --> 00:19:50,359 Speaker 1: seeing on the ground there in Tel Aviv. Tell us 330 00:19:50,440 --> 00:19:54,440 Speaker 1: just what's going on right now. So it's been a 331 00:19:54,520 --> 00:19:59,760 Speaker 1: crazy journey. Actually, I traveled really till quite lately, and 332 00:20:00,000 --> 00:20:04,280 Speaker 1: and it's been interesting to see different responses by different 333 00:20:04,359 --> 00:20:07,959 Speaker 1: cultures and different people. I came back from Singapore, then 334 00:20:08,040 --> 00:20:12,200 Speaker 1: traveled to Dubai, from there to Israel. So in Singapore 335 00:20:12,280 --> 00:20:16,359 Speaker 1: people were quiet, laid back, no one almost square masks 336 00:20:17,160 --> 00:20:20,159 Speaker 1: up to eight seven weeks ago, and then in Dubai 337 00:20:20,560 --> 00:20:23,840 Speaker 1: UM stress levels were going up slowly. And then I 338 00:20:23,960 --> 00:20:26,280 Speaker 1: came back to Tel Aviv, where I was put in 339 00:20:26,400 --> 00:20:30,200 Speaker 1: quarantine actually for fourteen days because I just came in, 340 00:20:30,760 --> 00:20:35,040 Speaker 1: which was quite an experience. UM. I was quarantined UM 341 00:20:35,800 --> 00:20:38,080 Speaker 1: and I had my office set up in an apartment, 342 00:20:38,160 --> 00:20:42,119 Speaker 1: which was an interesting experience. I think everyone, how around 343 00:20:42,119 --> 00:20:45,000 Speaker 1: the world, is really feeling the same. UM. Everyone is 344 00:20:45,040 --> 00:20:48,040 Speaker 1: looking at how to keep safe, how the economy is 345 00:20:48,080 --> 00:20:50,920 Speaker 1: going to recover, when all the vaccines going to come, 346 00:20:51,560 --> 00:20:55,159 Speaker 1: and how are we actually going to consume and be 347 00:20:55,800 --> 00:20:58,800 Speaker 1: provided health care services in the future. So I think 348 00:20:58,840 --> 00:21:02,560 Speaker 1: a lot of questions, um, a lot of stress and 349 00:21:02,720 --> 00:21:07,200 Speaker 1: trying to be disciplined in keeping safe. And so it's 350 00:21:07,200 --> 00:21:10,320 Speaker 1: such an interesting point because I feel like we are 351 00:21:10,720 --> 00:21:13,120 Speaker 1: learning a lot about ourselves to your point, and sort 352 00:21:13,119 --> 00:21:14,879 Speaker 1: of what we need and what what we don't need 353 00:21:14,920 --> 00:21:17,720 Speaker 1: when it comes to certain services, and maybe more importantly, 354 00:21:18,080 --> 00:21:21,639 Speaker 1: how we expect those services to be delivered. One of 355 00:21:21,680 --> 00:21:25,520 Speaker 1: the questions that we're constantly asking to folks, especially in 356 00:21:25,680 --> 00:21:29,119 Speaker 1: your business and the broadly defined healthcare and technology businesses, 357 00:21:29,880 --> 00:21:33,600 Speaker 1: what is temporary and what is lasting? Do you have 358 00:21:33,760 --> 00:21:37,720 Speaker 1: a sense of that, and what's your prediction. I think 359 00:21:38,280 --> 00:21:40,800 Speaker 1: what we've seen in the last twenty years is gone. 360 00:21:41,200 --> 00:21:45,840 Speaker 1: We're going to really, um significant re evolution. I don't 361 00:21:45,880 --> 00:21:48,879 Speaker 1: call it a revolution, but the re evolution of the 362 00:21:49,000 --> 00:21:53,080 Speaker 1: health care systems. Going to a doctor, to a GP 363 00:21:53,200 --> 00:21:58,320 Speaker 1: clinic is history. Most people, I want to have accessive, 364 00:21:58,480 --> 00:22:04,000 Speaker 1: immediate accessibility, an implementation of speaking to a doctor online, 365 00:22:04,359 --> 00:22:07,920 Speaker 1: having access to data analytics of how we're people with 366 00:22:08,080 --> 00:22:11,520 Speaker 1: my same symptoms diagnosed and how are they treated and 367 00:22:11,640 --> 00:22:14,240 Speaker 1: how did that work out for them? UM. So I 368 00:22:14,359 --> 00:22:17,639 Speaker 1: think that going to see doctors is going the numbers 369 00:22:17,680 --> 00:22:20,560 Speaker 1: are going to go down. People are gonna look at 370 00:22:20,640 --> 00:22:25,560 Speaker 1: accessibility and it's going to be immediate. Digital health, artificial 371 00:22:25,640 --> 00:22:31,040 Speaker 1: intelligence is the future. What we've seen until today is 372 00:22:31,119 --> 00:22:36,919 Speaker 1: never going to come back. Really, I I really believe 373 00:22:37,000 --> 00:22:41,680 Speaker 1: that telehealth using digital tools and artificial intelligence are really 374 00:22:41,720 --> 00:22:45,520 Speaker 1: going to change the landscape. Um. If you know, when 375 00:22:45,560 --> 00:22:48,400 Speaker 1: I meet a lot of CEOs and we discussed how 376 00:22:48,560 --> 00:22:52,800 Speaker 1: is this going to reinvent healthcare systems? We all think 377 00:22:52,920 --> 00:22:55,800 Speaker 1: that you know, in the future, instead of going to 378 00:22:55,880 --> 00:22:58,640 Speaker 1: see a doctor who's going to give his personal opinion 379 00:22:59,080 --> 00:23:02,760 Speaker 1: before discussing with the doctor, you would probably push a 380 00:23:02,840 --> 00:23:07,240 Speaker 1: button and get okay with my symptoms and my genetic 381 00:23:07,320 --> 00:23:13,639 Speaker 1: makeup and my medical background. Nine million and whatever, hundreds 382 00:23:13,680 --> 00:23:16,520 Speaker 1: of thousands of people with the same symptoms and the 383 00:23:16,680 --> 00:23:20,200 Speaker 1: same conditions have been diagnosed with this and this and 384 00:23:20,359 --> 00:23:23,920 Speaker 1: have been treated with that sort of solution. So before 385 00:23:23,960 --> 00:23:25,960 Speaker 1: you see a doctor, you would go with data. You 386 00:23:26,000 --> 00:23:29,119 Speaker 1: would be more educated, and you will be able to 387 00:23:29,240 --> 00:23:33,680 Speaker 1: make more evidence based and more objective decisions before even 388 00:23:33,960 --> 00:23:36,560 Speaker 1: getting out of your house. And you will be able 389 00:23:36,600 --> 00:23:38,760 Speaker 1: to do that from the comfort and the safety of 390 00:23:38,800 --> 00:23:41,320 Speaker 1: your own home. It almost sounds like some screaming before 391 00:23:41,359 --> 00:23:43,119 Speaker 1: you like, I mean, because what's the next step? I 392 00:23:43,160 --> 00:23:44,600 Speaker 1: mean if I have a doctor who needs to have 393 00:23:44,680 --> 00:23:46,200 Speaker 1: a lot of E N T things, you know, and 394 00:23:46,440 --> 00:23:49,560 Speaker 1: I'm often scoped in my throat, so you know what 395 00:23:50,200 --> 00:23:52,680 Speaker 1: I mean, where does that fit in? I can't scope myself, 396 00:23:53,200 --> 00:23:55,199 Speaker 1: so I'm just wondering, then what's the next step? I mean, 397 00:23:55,280 --> 00:23:58,879 Speaker 1: what's the procedures? So first of all, the decision of 398 00:23:59,040 --> 00:24:01,080 Speaker 1: how often do you you need to be scoped is 399 00:24:01,080 --> 00:24:05,320 Speaker 1: a big decision, right, So more data about how necessary 400 00:24:05,400 --> 00:24:09,280 Speaker 1: is my treatment? UM? How what's the outcome of an 401 00:24:09,320 --> 00:24:13,879 Speaker 1: additional potential UH test or scope or any other test 402 00:24:14,359 --> 00:24:17,920 Speaker 1: or treatment? Right? Is it really useful? But that's a 403 00:24:18,080 --> 00:24:20,760 Speaker 1: very specific you know, going to have a scope is 404 00:24:20,760 --> 00:24:26,640 Speaker 1: a very specific outcome of of some different consultations you've had. UM. 405 00:24:26,880 --> 00:24:31,320 Speaker 1: I think really that accessibility now and immediately UM is 406 00:24:31,400 --> 00:24:35,680 Speaker 1: going to be on everyone's request. I also feel that 407 00:24:36,040 --> 00:24:37,760 Speaker 1: a lot of other things are going to change, so 408 00:24:37,880 --> 00:24:41,040 Speaker 1: we will see more investments in healthcare. UM. We will 409 00:24:41,119 --> 00:24:44,359 Speaker 1: have to see more spending on healthcare a percentage of 410 00:24:44,440 --> 00:24:47,920 Speaker 1: GDP in a lot of different countries. If you look 411 00:24:48,040 --> 00:24:50,959 Speaker 1: specifically at the always see the average where between eight 412 00:24:51,000 --> 00:24:55,080 Speaker 1: point eight and ten the US is closed to which 413 00:24:55,160 --> 00:24:58,919 Speaker 1: is a significant concern. But with this pandemic, we're going 414 00:24:59,000 --> 00:25:01,200 Speaker 1: to need more in patient bits, We're going to need 415 00:25:01,280 --> 00:25:04,800 Speaker 1: home care. We're going to have to invest in those fulkliners, 416 00:25:05,119 --> 00:25:08,960 Speaker 1: those doctors, those nurses. Right, you know that didn't get 417 00:25:09,000 --> 00:25:12,000 Speaker 1: the attention for so many years. Well, you know it's 418 00:25:12,000 --> 00:25:14,240 Speaker 1: funny because Segall, we've been talking about disruption for health 419 00:25:14,280 --> 00:25:16,879 Speaker 1: care and it's really dragged in many ways. And I 420 00:25:16,960 --> 00:25:20,080 Speaker 1: think the way this pandemic is playing out is causing 421 00:25:20,119 --> 00:25:22,440 Speaker 1: people to rethink a lot of those systems and figure 422 00:25:22,440 --> 00:25:24,240 Speaker 1: out how to make it a more productive and more 423 00:25:24,280 --> 00:25:27,720 Speaker 1: accessible system. I'm Segal, thank you so much, really appreciate it, 424 00:25:28,200 --> 00:25:36,159 Speaker 1: the CEO of Medics Global BROC Journal. Now, but you 425 00:25:36,240 --> 00:25:40,960 Speaker 1: let me drive, No, no, no, no, drive home, honey, please, 426 00:25:41,080 --> 00:25:47,720 Speaker 1: I'll do the right drivel. I want to drive. Just drive. 427 00:25:50,760 --> 00:26:00,560 Speaker 1: It's the questions trying. This is the drive to the 428 00:26:00,600 --> 00:26:07,480 Speaker 1: globe than radio. All right, is time for the drive 429 00:26:07,560 --> 00:26:09,840 Speaker 1: to the close. And Well, it's been a tougher year 430 00:26:09,880 --> 00:26:12,040 Speaker 1: and month for the y CG Enhanced Fund. It has 431 00:26:12,600 --> 00:26:14,879 Speaker 1: let's be fair for a lot of funds. The fund 432 00:26:15,040 --> 00:26:17,359 Speaker 1: is though still beating just about all of its peers 433 00:26:17,440 --> 00:26:20,000 Speaker 1: longer term. Over the past five years, it is in 434 00:26:20,040 --> 00:26:22,600 Speaker 1: the S percentile, with gains of more than eight percent 435 00:26:22,680 --> 00:26:24,800 Speaker 1: on average annually. Great to have back with us the 436 00:26:24,880 --> 00:26:27,840 Speaker 1: manager of the fund, Brian Yackman, his chief investment officer 437 00:26:27,920 --> 00:26:32,679 Speaker 1: at Portfolio and portfolio manager of the fund based in Austin, Texas, 438 00:26:32,760 --> 00:26:34,760 Speaker 1: which is where we find him. Brian, good to have 439 00:26:34,840 --> 00:26:38,280 Speaker 1: you back with us. I'm glad to be back. How 440 00:26:38,440 --> 00:26:42,800 Speaker 1: you doing. I'm doing fantastic. How are you guys doing 441 00:26:42,880 --> 00:26:47,960 Speaker 1: being in New York? Okay? I mean, it's it's strange 442 00:26:48,000 --> 00:26:49,960 Speaker 1: that I mean, you know, we're coming to the end 443 00:26:50,000 --> 00:26:54,560 Speaker 1: of week nine of you know, broadcasting remotely. Carol's at 444 00:26:54,600 --> 00:26:56,840 Speaker 1: her home, I'm at mine. We've got, you know, producers 445 00:26:56,880 --> 00:26:59,240 Speaker 1: spread all over, creations, some back in the office, and 446 00:26:59,640 --> 00:27:01,600 Speaker 1: you know, this is the sort of way of life. 447 00:27:01,680 --> 00:27:03,480 Speaker 1: I do wonder. I mean, you're in a state that 448 00:27:03,720 --> 00:27:07,840 Speaker 1: is at least tentatively kind of coming back to life 449 00:27:07,920 --> 00:27:12,159 Speaker 1: a bit. What is it like in Austin. Well, you 450 00:27:12,280 --> 00:27:14,480 Speaker 1: say that, but I think you know, traffic patterns I 451 00:27:14,560 --> 00:27:17,000 Speaker 1: think are essentially the same whether you're in a lockdown 452 00:27:17,080 --> 00:27:20,600 Speaker 1: place or if you're open in Sweden. I mean, I'm 453 00:27:20,640 --> 00:27:23,800 Speaker 1: still working from home. I have six children and they're 454 00:27:23,840 --> 00:27:27,520 Speaker 1: all doing school from home, so and we're still ordering 455 00:27:27,560 --> 00:27:30,639 Speaker 1: everything in Yeah. So you know, I don't think that 456 00:27:30,720 --> 00:27:35,240 Speaker 1: behavior actually necessarily changes just because the regulation changes. That's interesting. 457 00:27:35,520 --> 00:27:37,600 Speaker 1: It's certainly something that that I feel like we've seen 458 00:27:37,680 --> 00:27:39,480 Speaker 1: have a lot of family down in Atlanta and they're 459 00:27:39,480 --> 00:27:41,200 Speaker 1: saying the same thing. Man. I was joking with my 460 00:27:41,280 --> 00:27:44,520 Speaker 1: cousin this morning. His birthday was yesterday, and she joked 461 00:27:44,920 --> 00:27:47,280 Speaker 1: to me over text that, yeah, she wasn't going to 462 00:27:47,359 --> 00:27:49,640 Speaker 1: go out to go bowling and get a tattoo, which 463 00:27:49,640 --> 00:27:51,600 Speaker 1: of course is you know, sort of the joke about 464 00:27:52,320 --> 00:27:54,480 Speaker 1: Atlanta that they those were the first things to open, 465 00:27:54,520 --> 00:27:57,600 Speaker 1: where the bowling alleys and the tattoo parlors. In any case, 466 00:27:58,240 --> 00:28:02,960 Speaker 1: um as an investor, exactly essential services, exactly as an investor. 467 00:28:03,280 --> 00:28:06,200 Speaker 1: How do you look at this though, Brian, Because you 468 00:28:06,280 --> 00:28:08,720 Speaker 1: know you've looked at this market for some time. You 469 00:28:08,840 --> 00:28:14,040 Speaker 1: see opportunities, I would imagine, help us understand it? Well, 470 00:28:14,160 --> 00:28:16,399 Speaker 1: I think what keeps coming back to my mind is 471 00:28:16,520 --> 00:28:20,040 Speaker 1: it's just a time of unprecedented uncertainty. And so then 472 00:28:20,040 --> 00:28:22,640 Speaker 1: I think you really need an unprecedented amount of humility, 473 00:28:23,160 --> 00:28:25,480 Speaker 1: because nobody really knows how things are going to shake out. 474 00:28:26,040 --> 00:28:28,040 Speaker 1: I think people are acting like, oh, for sure, the 475 00:28:28,320 --> 00:28:31,680 Speaker 1: market is going to retest the prior lows. H On 476 00:28:31,800 --> 00:28:34,320 Speaker 1: the other hand, our country is doing more stimulus than 477 00:28:34,320 --> 00:28:38,120 Speaker 1: anybody else as a percentage of GDP. I think it's 478 00:28:38,280 --> 00:28:41,960 Speaker 1: it's well as I would put it. You're either I think, 479 00:28:42,000 --> 00:28:46,760 Speaker 1: being ignorant or just a lot of hubris to be 480 00:28:46,800 --> 00:28:50,160 Speaker 1: able to believe that you can accurately predict these market fluctuations. 481 00:28:50,640 --> 00:28:52,440 Speaker 1: I mean, just think like if at the beginning of 482 00:28:52,480 --> 00:28:55,520 Speaker 1: the year, I said United Airlines is forecasting this month's 483 00:28:55,560 --> 00:28:59,200 Speaker 1: May revenue to equal a single day of revenue from 484 00:28:59,280 --> 00:29:03,440 Speaker 1: May last year, you'd think I was crazy, and particularly 485 00:29:03,560 --> 00:29:07,040 Speaker 1: was one of the most stable growing statistics UM and 486 00:29:07,120 --> 00:29:10,000 Speaker 1: then just you know all this and certainly negative oil 487 00:29:10,120 --> 00:29:12,840 Speaker 1: and stock price is now celebrating when the economy is 488 00:29:12,880 --> 00:29:16,680 Speaker 1: in absolute dumpsters. I mean, the disconnect makes it tempting 489 00:29:16,720 --> 00:29:19,040 Speaker 1: the time. But I think the problem is not only 490 00:29:19,080 --> 00:29:21,800 Speaker 1: do you need to accurate actually predict future events, you 491 00:29:21,880 --> 00:29:23,400 Speaker 1: need to be able to predict how much of that's 492 00:29:23,400 --> 00:29:26,880 Speaker 1: already baked in, So you're essentially anticipating what the average 493 00:29:26,920 --> 00:29:30,320 Speaker 1: opinion expects the average opinion to be. And I just 494 00:29:30,640 --> 00:29:33,600 Speaker 1: I think it's difficult to do. Well, that's interesting. So 495 00:29:33,960 --> 00:29:36,760 Speaker 1: you still have to make investments, right, you guys have 496 00:29:36,920 --> 00:29:41,560 Speaker 1: to stay invested. So what do you do in environment 497 00:29:41,680 --> 00:29:45,680 Speaker 1: like this? So I think the best way to always position, 498 00:29:45,880 --> 00:29:49,040 Speaker 1: particularly in an environment like this, is you want it 499 00:29:49,040 --> 00:29:52,080 Speaker 1: to be as we put it in Global Champions. But 500 00:29:52,400 --> 00:29:55,400 Speaker 1: what I'm thinking of here dominant franchises that they tend 501 00:29:55,480 --> 00:29:59,760 Speaker 1: to be uh networked globally in some way, and those 502 00:30:00,000 --> 00:30:02,760 Speaker 1: work effects make them such dominant franchise as that gives 503 00:30:02,800 --> 00:30:06,400 Speaker 1: them enduring pricing power. And I think over the long run, 504 00:30:07,480 --> 00:30:09,960 Speaker 1: COVID is certainly not something that I think this will 505 00:30:09,960 --> 00:30:11,920 Speaker 1: become a thing of the past, of course, And well 506 00:30:12,360 --> 00:30:15,720 Speaker 1: I have confidence in in humanity to make it through 507 00:30:15,800 --> 00:30:17,800 Speaker 1: and to innovate and find ways to deal with it. 508 00:30:18,400 --> 00:30:21,080 Speaker 1: How that actually happens, I don't know. And of course 509 00:30:21,160 --> 00:30:23,520 Speaker 1: things can't really come back to a semblance of normality 510 00:30:23,640 --> 00:30:27,080 Speaker 1: until fear of that volatility subside. But as long as 511 00:30:27,120 --> 00:30:30,080 Speaker 1: you're in a business that's conservatively capitalized so that it 512 00:30:30,120 --> 00:30:32,840 Speaker 1: can avoid blow up risk and avoid any form of 513 00:30:32,880 --> 00:30:37,480 Speaker 1: dilution risk. Then if you're in a dominant global champion 514 00:30:37,920 --> 00:30:40,600 Speaker 1: that hasn't during price and power, then I think the 515 00:30:40,680 --> 00:30:44,840 Speaker 1: reality is where else are you going to hide? Right, Bond? 516 00:30:45,240 --> 00:30:48,200 Speaker 1: I mean, so give us some examples of that, Brian, 517 00:30:48,240 --> 00:30:52,960 Speaker 1: Who who are some champions you like? Here? Well, you know, 518 00:30:53,200 --> 00:30:55,000 Speaker 1: as I was saying, there needs to be a huge 519 00:30:55,000 --> 00:30:57,480 Speaker 1: amount of humility. You know, normally I would tell you guys, 520 00:30:58,240 --> 00:31:01,880 Speaker 1: some of the best investment opportunities are right where the 521 00:31:02,000 --> 00:31:03,840 Speaker 1: fire is. You know what people are saying, Oh, this 522 00:31:03,960 --> 00:31:05,880 Speaker 1: is dead money in the short run, but in the 523 00:31:05,960 --> 00:31:08,760 Speaker 1: long run, I see this will work out great. And 524 00:31:08,840 --> 00:31:10,720 Speaker 1: I still think that that there is some truth to that. 525 00:31:11,720 --> 00:31:13,560 Speaker 1: But at the same time, that doesn't mean pile into 526 00:31:13,600 --> 00:31:15,800 Speaker 1: those bets. So you know, if you look at our 527 00:31:16,120 --> 00:31:18,600 Speaker 1: at the YGE Enhanced Fund portfolio, the whole thing is 528 00:31:18,680 --> 00:31:21,239 Speaker 1: chalk full of these global champions. Some of them are 529 00:31:21,280 --> 00:31:23,920 Speaker 1: performing well in the crisis, like m s c I, 530 00:31:24,080 --> 00:31:28,400 Speaker 1: which to subscriptions to. You know, it's the largest international 531 00:31:28,440 --> 00:31:33,640 Speaker 1: index provider UM Microsoft Moody's VARIUSK, they do insurance data. 532 00:31:34,080 --> 00:31:36,760 Speaker 1: We have some consumer staples. So these are balanced, are 533 00:31:36,840 --> 00:31:40,320 Speaker 1: doing well, but we're wanting to rebalance them to trim 534 00:31:40,400 --> 00:31:42,600 Speaker 1: them into some of these underperformers that still have that 535 00:31:42,680 --> 00:31:46,000 Speaker 1: great future and some of these that I am thinking 536 00:31:46,040 --> 00:31:49,000 Speaker 1: of that are you know, again, globally, networks businesses are 537 00:31:49,080 --> 00:31:53,040 Speaker 1: like MasterCard co part which is the largest auto salvage 538 00:31:53,120 --> 00:31:57,920 Speaker 1: auction platform in the world. And then booking, which you 539 00:31:57,960 --> 00:32:00,680 Speaker 1: know is definitely in the heat of the fire. So 540 00:32:00,880 --> 00:32:04,280 Speaker 1: I think it's import to have a large, diversified portfolio 541 00:32:04,400 --> 00:32:07,920 Speaker 1: that can be robust in various outcomes. Yeah, we've talked 542 00:32:07,960 --> 00:32:11,960 Speaker 1: with Glen Fogel over booking. I mean they you know, 543 00:32:12,120 --> 00:32:15,320 Speaker 1: they're they're figuring there in the red hot center of 544 00:32:15,440 --> 00:32:19,160 Speaker 1: the fire. I mean in many ways, right, Yeah, totally. 545 00:32:19,960 --> 00:32:22,240 Speaker 1: I had to say to say, what go ahead, Brian, 546 00:32:23,240 --> 00:32:25,120 Speaker 1: I was just gonna say, I mean, you have global 547 00:32:25,160 --> 00:32:29,960 Speaker 1: air traffic down and and then of course hotel bookings 548 00:32:30,240 --> 00:32:35,360 Speaker 1: massively down there. Their strength is this massive network effect, 549 00:32:35,400 --> 00:32:39,400 Speaker 1: particularly in Europe where there's all these boutique hotels they 550 00:32:39,600 --> 00:32:43,600 Speaker 1: depend on to um to book hotels and right now, 551 00:32:43,640 --> 00:32:47,200 Speaker 1: of course nobody's booking, but they are, I mean, they 552 00:32:47,240 --> 00:32:52,000 Speaker 1: are well positioned net cash position They could survive with 553 00:32:52,080 --> 00:32:55,440 Speaker 1: no revenue for probably a couple of years um and 554 00:32:56,440 --> 00:32:58,680 Speaker 1: and that's that's zero revenue, right, and they can pull 555 00:32:58,720 --> 00:33:02,280 Speaker 1: back on advertising. Well, I have to say we always 556 00:33:02,280 --> 00:33:05,880 Speaker 1: appreciate talking with you, UM, and it's really you sound 557 00:33:06,480 --> 00:33:09,840 Speaker 1: humbled by this marketplace, and I think it's a really 558 00:33:10,160 --> 00:33:13,240 Speaker 1: we've been calling this reality check week, and UM, you 559 00:33:13,280 --> 00:33:16,400 Speaker 1: can certainly hear that in your explanation about kind of 560 00:33:16,440 --> 00:33:18,360 Speaker 1: what's going on and trying to figure this out. Brian Yackman, 561 00:33:18,880 --> 00:33:21,560 Speaker 1: great guest, Chief investment Officer at y CG Investments, on 562 00:33:21,680 --> 00:33:24,280 Speaker 1: the phone from Austin, Texas. Thanks so much for listening 563 00:33:24,320 --> 00:33:27,280 Speaker 1: to Bloomberg Business Week. Download the podcast on iTunes, Southcloud, 564 00:33:27,280 --> 00:33:30,040 Speaker 1: Bloomberg dot com, or wherever you get your podcasts. And 565 00:33:30,120 --> 00:33:32,040 Speaker 1: of course you can always listen to our radio show 566 00:33:32,040 --> 00:33:34,760 Speaker 1: at two pm Eastern on Bloomberg Radio or watch us 567 00:33:34,800 --> 00:33:37,080 Speaker 1: on YouTube by searching Bloomberg Global News