1 00:00:00,160 --> 00:00:02,960 Speaker 1: Democrats be a power in the Republicans. President Trump was 2 00:00:03,000 --> 00:00:05,680 Speaker 1: secure to smash conventional norms. I would rather see a 3 00:00:05,680 --> 00:00:09,480 Speaker 1: congressional solution. It's part of my DNA. This is Bloomberg 4 00:00:09,680 --> 00:00:17,279 Speaker 1: sound on land on Bloomberg h D two. Former Vice 5 00:00:17,320 --> 00:00:22,159 Speaker 1: President Joe Biden reemergence from the basement bunker and he 6 00:00:22,239 --> 00:00:25,200 Speaker 1: wore a masked President Trump did not. What does it 7 00:00:25,320 --> 00:00:29,840 Speaker 1: say for the state of play in twenty We're gonna 8 00:00:29,880 --> 00:00:32,519 Speaker 1: dive into that. We've got an all star panel and 9 00:00:32,640 --> 00:00:35,320 Speaker 1: incredibly excited about all of this. We're gonna touch on 10 00:00:35,320 --> 00:00:39,600 Speaker 1: the economy, politics, and of course reopening. Did you go 11 00:00:39,640 --> 00:00:41,240 Speaker 1: out this weekend? Did you go to the shore? What 12 00:00:41,320 --> 00:00:44,600 Speaker 1: did you do? I stayed, put shelter in place until 13 00:00:44,640 --> 00:00:48,840 Speaker 1: we're in Phase one. Headline crossing the Bloomberg terminal today, 14 00:00:49,040 --> 00:00:54,360 Speaker 1: the US waning sanctions on Chinese officials and firms over 15 00:00:54,480 --> 00:00:57,760 Speaker 1: Hong Kong. Johnny Leonard, Jennifer Jacobs and Salamos and reporting 16 00:00:57,800 --> 00:01:00,840 Speaker 1: on the Bloomberg terminal. The Trump administration and is considering 17 00:01:00,840 --> 00:01:05,080 Speaker 1: a range of sanctions on Chinese officials, businesses, and financial 18 00:01:05,160 --> 00:01:09,080 Speaker 1: institutions over Beijing's effort to crack down on Hong Kong 19 00:01:09,400 --> 00:01:14,120 Speaker 1: according to people familiar with the matter, So tensions with 20 00:01:14,280 --> 00:01:19,959 Speaker 1: US and China continuing continuing to rise. Meanwhile, US cases 21 00:01:20,080 --> 00:01:22,959 Speaker 1: rise one point one percent. But this is good news. 22 00:01:23,000 --> 00:01:25,880 Speaker 1: This is good news because that is the slowest increase 23 00:01:25,920 --> 00:01:30,959 Speaker 1: of COVID nineteen cases since March. This estates reopened. Everyone 24 00:01:31,040 --> 00:01:34,160 Speaker 1: going to be seeing the pace of the reopening and 25 00:01:34,240 --> 00:01:37,319 Speaker 1: how it impacts the spread of the virus, does it? 26 00:01:37,640 --> 00:01:40,880 Speaker 1: And that's where we begin this evening. Dr john Johnson's 27 00:01:40,920 --> 00:01:44,920 Speaker 1: on the line. He is the CEO of Edgeworth Analytics 28 00:01:44,959 --> 00:01:48,880 Speaker 1: and an m I T pH d economist. Dr Johnson, 29 00:01:49,080 --> 00:01:53,080 Speaker 1: first time on the program. Appreciate you coming in. Where 30 00:01:53,080 --> 00:01:57,000 Speaker 1: do we stand on reopening the economy and the spread 31 00:01:57,000 --> 00:02:00,400 Speaker 1: of the virus. Well, the first things to sort of 32 00:02:00,480 --> 00:02:03,760 Speaker 1: understand is we basically still have fifty states all operating 33 00:02:03,800 --> 00:02:06,600 Speaker 1: sort of under different plans, and so we've got quite 34 00:02:06,640 --> 00:02:10,040 Speaker 1: a hodgepodge of sort of economic circumstances. You've got states 35 00:02:10,080 --> 00:02:12,960 Speaker 1: like Georgia Florida sort of at the forefront of opening 36 00:02:12,960 --> 00:02:16,079 Speaker 1: pretty aggressively, of other states that are still pretty much 37 00:02:16,120 --> 00:02:21,000 Speaker 1: on lockdown and very gradually reopening. So from a practical standpoint, 38 00:02:21,120 --> 00:02:23,040 Speaker 1: we are sort of watching the occurve. We're sort of 39 00:02:23,040 --> 00:02:25,240 Speaker 1: trying to look at these fifty different sort of little 40 00:02:25,360 --> 00:02:28,400 Speaker 1: experiments across the country to determine how does it change 41 00:02:28,400 --> 00:02:30,560 Speaker 1: the economic condition and how does it relate to the 42 00:02:30,600 --> 00:02:33,240 Speaker 1: health crisis In terms of the number of cases, I mean, 43 00:02:33,360 --> 00:02:38,760 Speaker 1: the unemployment filings UH are are really hard to fathom. 44 00:02:38,880 --> 00:02:44,600 Speaker 1: The magnitude the greatest unemployment crisis since the Great Depressed Depression. 45 00:02:44,960 --> 00:02:47,680 Speaker 1: I mean it's it's some millions of Americans, thirty six 46 00:02:47,720 --> 00:02:52,720 Speaker 1: plus millions of Americans having filed for unemployment. How do 47 00:02:52,919 --> 00:02:56,200 Speaker 1: you crunch the numbers on this? Because Edgeward Analytics has 48 00:02:56,200 --> 00:02:59,440 Speaker 1: put together a map in terms of zip code, what 49 00:02:59,520 --> 00:03:04,400 Speaker 1: are you noticing in the data about a potential trend 50 00:03:04,520 --> 00:03:07,480 Speaker 1: toward reopening? Are we over the worst in terms of 51 00:03:07,560 --> 00:03:12,239 Speaker 1: unemployment I don't think we're quite over the worst yet. Unfortunately, 52 00:03:12,360 --> 00:03:14,760 Speaker 1: I wish I could say differently. Um, Look, the first 53 00:03:14,760 --> 00:03:16,440 Speaker 1: thing we have to keep remembering is you're actually right. 54 00:03:16,480 --> 00:03:19,359 Speaker 1: I mean, economists used this phrase unprecedented. You know, all 55 00:03:19,400 --> 00:03:23,080 Speaker 1: the time we're talking about economic phenomenon, but numbers. This 56 00:03:23,240 --> 00:03:24,920 Speaker 1: is for real, This is the real deal, right, This 57 00:03:25,000 --> 00:03:27,840 Speaker 1: is just something that is beyond comprehension to just about anyone. 58 00:03:27,880 --> 00:03:29,919 Speaker 1: I mean, we've never seen anything like this in our lifetime. 59 00:03:30,040 --> 00:03:32,799 Speaker 1: So what we're starting to look for, though, is as 60 00:03:32,840 --> 00:03:34,560 Speaker 1: the numbers come out, and of course the data is 61 00:03:34,600 --> 00:03:37,120 Speaker 1: lagged a little bit, right, These uninsurance claims numbers come 62 00:03:37,120 --> 00:03:39,840 Speaker 1: out weekly, but the numbers from the you know, the 63 00:03:40,240 --> 00:03:42,600 Speaker 1: government that actually get into the sectors that are affective, 64 00:03:42,600 --> 00:03:44,480 Speaker 1: you know, those are lagged a couple of weeks. And 65 00:03:44,520 --> 00:03:46,360 Speaker 1: what it started to happen in April is, you know, 66 00:03:46,440 --> 00:03:51,640 Speaker 1: of course the obvious sectors, restaurants, hospitality, hotels, airlines really 67 00:03:51,720 --> 00:03:54,119 Speaker 1: hit hard. We started to see that deepening a little 68 00:03:54,160 --> 00:03:57,160 Speaker 1: bit into some other sectors manufacturing durable goods of light. 69 00:03:57,240 --> 00:03:59,000 Speaker 1: So we're gonna be looking for the next few weeks 70 00:03:59,000 --> 00:04:02,360 Speaker 1: as sectors sort of re open, as states start to reopen, 71 00:04:02,560 --> 00:04:05,640 Speaker 1: is what comes back first and how quickly can they 72 00:04:05,680 --> 00:04:07,640 Speaker 1: come back? Right, There's a lot of discussion about the 73 00:04:07,840 --> 00:04:11,320 Speaker 1: V shaped recovery, but that's pretty unlikely in a circumstance 74 00:04:11,360 --> 00:04:13,200 Speaker 1: where we still have to get a good handle on 75 00:04:13,320 --> 00:04:15,760 Speaker 1: what happens as we reopened. And if you're just joining us, 76 00:04:15,800 --> 00:04:18,039 Speaker 1: Dr John Johnson's on the line. He's the CEO of 77 00:04:18,200 --> 00:04:21,080 Speaker 1: Edgeworth Analytics and M I T pH D economists. He's 78 00:04:21,080 --> 00:04:24,479 Speaker 1: getting wonky. I love it. He's talking about a V curve, 79 00:04:24,839 --> 00:04:28,599 Speaker 1: which would mean that we swooped down a vertical downward 80 00:04:28,680 --> 00:04:31,200 Speaker 1: trend and then we bottom out and then spike right 81 00:04:31,200 --> 00:04:34,680 Speaker 1: back up once the economy reopens. But economists like Dr 82 00:04:34,760 --> 00:04:37,560 Speaker 1: Johnson are saying, no, it could potentially be I'm gonna 83 00:04:37,600 --> 00:04:41,120 Speaker 1: guess you would say a Nike swoosh more gradually. Okay, 84 00:04:41,120 --> 00:04:45,480 Speaker 1: when is the top of the Nike swoosh? Dr Johnson, Yeah, Well, 85 00:04:45,480 --> 00:04:47,520 Speaker 1: that's a I wish I knew. I wish I could 86 00:04:47,560 --> 00:04:49,400 Speaker 1: really tell you with certainty, but so do I think 87 00:04:49,440 --> 00:04:52,200 Speaker 1: a lot of people want to know, right, So, look, 88 00:04:52,240 --> 00:04:53,640 Speaker 1: here's what I would say. It's like, here's what you 89 00:04:53,720 --> 00:04:55,480 Speaker 1: sort of want to watch for. Okay, we want to 90 00:04:55,520 --> 00:04:57,040 Speaker 1: watch to see if the numbers are going to kind 91 00:04:57,040 --> 00:04:59,200 Speaker 1: of start to come back. How quickly are we gonna 92 00:04:59,200 --> 00:05:01,400 Speaker 1: see these uninsured PLAIE sort of drop. That's kind of 93 00:05:01,400 --> 00:05:03,440 Speaker 1: one of our leading indicators. So that's the first thing 94 00:05:03,440 --> 00:05:06,200 Speaker 1: we want to definitely look for. Um, we went into 95 00:05:06,240 --> 00:05:08,960 Speaker 1: this pretty quickly. Obviously the states are not going to 96 00:05:09,040 --> 00:05:11,440 Speaker 1: all reopen quickly, and so I think that you know, 97 00:05:11,520 --> 00:05:14,680 Speaker 1: we're talking much more months than sort of weeks. That's 98 00:05:14,720 --> 00:05:16,600 Speaker 1: the first thing. And then the second thing that we 99 00:05:16,640 --> 00:05:19,599 Speaker 1: really have to watch for is as we reopen, do 100 00:05:19,720 --> 00:05:22,240 Speaker 1: we suddenly see another spike? In cases, right, we see 101 00:05:22,240 --> 00:05:24,480 Speaker 1: another spike that's going to set us back. And that's 102 00:05:24,600 --> 00:05:26,280 Speaker 1: we sort of get as opposed to the swish, Now 103 00:05:26,320 --> 00:05:28,560 Speaker 1: you get a w you get another dip, And the 104 00:05:28,600 --> 00:05:32,000 Speaker 1: second GIF might be a lot more traumatic because quite frankly, 105 00:05:32,320 --> 00:05:35,159 Speaker 1: the psychology of people going back to stimulate the economy 106 00:05:35,200 --> 00:05:37,000 Speaker 1: is going to be a pretty important part of this recovery. 107 00:05:37,160 --> 00:05:39,200 Speaker 1: So when you look at the demographic impacts, and over 108 00:05:39,240 --> 00:05:41,440 Speaker 1: the weekend we had our Bloomberg television special on this 109 00:05:41,560 --> 00:05:44,760 Speaker 1: on America's Employment Bus, and we talked to We've been 110 00:05:44,760 --> 00:05:48,039 Speaker 1: talking to folks about this forever, but it seems but 111 00:05:48,120 --> 00:05:50,080 Speaker 1: the demographics of this, who are who is the most 112 00:05:50,080 --> 00:05:52,640 Speaker 1: negatively impact? Because I'm sick and tired of hearing that 113 00:05:52,839 --> 00:05:56,800 Speaker 1: the virus affects everyone the same. It doesn't maybe medically speaking, 114 00:05:57,040 --> 00:05:59,360 Speaker 1: but it doesn't economically speaking. So who are the who 115 00:05:59,360 --> 00:06:02,560 Speaker 1: are the hardest at emographics? Right? So, first of all, 116 00:06:02,680 --> 00:06:04,599 Speaker 1: you know, one thing in terms of just the virus 117 00:06:04,640 --> 00:06:07,000 Speaker 1: itself is clearly there's a pretty big difference in terms 118 00:06:07,040 --> 00:06:10,640 Speaker 1: of who are the at risk population, which is old folks, right, 119 00:06:10,680 --> 00:06:12,520 Speaker 1: that's sort of first and foremost. But in terms of 120 00:06:12,560 --> 00:06:16,880 Speaker 1: where we're seeing sort of hits, um interestingly, you know, um, 121 00:06:16,920 --> 00:06:19,760 Speaker 1: it is broad based, but there are definitely pockets. You know, 122 00:06:19,960 --> 00:06:23,000 Speaker 1: the first not surprising teenagers that sixteen nineteen year old 123 00:06:23,000 --> 00:06:25,080 Speaker 1: That group has been sort of devastated, right, can't get 124 00:06:25,120 --> 00:06:27,760 Speaker 1: a summer job. Job, they can't get a summer job. 125 00:06:27,760 --> 00:06:29,440 Speaker 1: What are all those kids gonna do? They're gonna make 126 00:06:29,480 --> 00:06:34,240 Speaker 1: TikTok's autos going right. Um, But even when you go 127 00:06:34,279 --> 00:06:37,320 Speaker 1: across the board, you know, by demographics, you know, fourteen 128 00:06:37,360 --> 00:06:41,880 Speaker 1: percent for White's, sixteen point sent seven percent for African Americans, 129 00:06:42,200 --> 00:06:45,000 Speaker 1: eighteen to nine percent for Hispanics, and even men and 130 00:06:45,040 --> 00:06:47,719 Speaker 1: women a little bit more on the female side. Actually, 131 00:06:47,760 --> 00:06:50,440 Speaker 1: users see higher unemployment rates as well. But again, what 132 00:06:50,560 --> 00:06:52,480 Speaker 1: is sort of interesting about this right now is sort 133 00:06:52,480 --> 00:06:55,320 Speaker 1: of where we're we be seeing the round of hits 134 00:06:55,360 --> 00:06:58,480 Speaker 1: are sort of workers in those sectors which have sort 135 00:06:58,520 --> 00:07:01,159 Speaker 1: of less job attachment. It's back to the restaurants that 136 00:07:01,200 --> 00:07:03,720 Speaker 1: are closing the airline segment. You know, those are the 137 00:07:03,720 --> 00:07:06,440 Speaker 1: place where we're seeing these big losses. So um, it 138 00:07:06,560 --> 00:07:10,880 Speaker 1: is another example of how the income inequality in the economy. 139 00:07:10,960 --> 00:07:13,000 Speaker 1: We're seeing this exact same thing. You're hitting sort of 140 00:07:13,040 --> 00:07:15,960 Speaker 1: lower income groups really hard with this crisis. That doesn't 141 00:07:15,960 --> 00:07:17,640 Speaker 1: mean doesn't go up and down, but that's really where 142 00:07:17,680 --> 00:07:19,520 Speaker 1: you're seeing to hit the hardest. It's alfol, we've only 143 00:07:19,520 --> 00:07:21,720 Speaker 1: got ninety seconds left, but just put it in perspective 144 00:07:21,800 --> 00:07:24,480 Speaker 1: for us. I mean, it's not only you've got that situation, 145 00:07:24,520 --> 00:07:26,520 Speaker 1: but it's hard as an economist and must be to 146 00:07:26,600 --> 00:07:29,080 Speaker 1: crunch the numbers on these data. When number one states 147 00:07:29,080 --> 00:07:31,480 Speaker 1: computer systems can't keep up with the data, and as 148 00:07:31,520 --> 00:07:34,920 Speaker 1: you just laid out in terms of demographics and industries, 149 00:07:35,000 --> 00:07:37,080 Speaker 1: some of these states and the data and the numbers 150 00:07:37,120 --> 00:07:39,560 Speaker 1: coming from the government are lagging several weeks behind. That's 151 00:07:39,560 --> 00:07:41,400 Speaker 1: got to make your job as an economist even harder. 152 00:07:42,400 --> 00:07:44,920 Speaker 1: It's really frustrating in many respects. I mean, we see 153 00:07:44,960 --> 00:07:47,400 Speaker 1: these issues recently with the testing data and the fact 154 00:07:47,400 --> 00:07:49,920 Speaker 1: that they're complating different types of tests into the same data. 155 00:07:50,080 --> 00:07:52,000 Speaker 1: You know, you've got this super interesting point from a 156 00:07:52,080 --> 00:07:55,560 Speaker 1: data perspective. You've got epidemiological data in economic data. And 157 00:07:55,600 --> 00:07:57,920 Speaker 1: you know, and I'm not an epidemiologist, I'm an economist, 158 00:07:57,920 --> 00:07:59,200 Speaker 1: but I got a link to two to kind of 159 00:07:59,240 --> 00:08:01,760 Speaker 1: make sense of all of this show the inherent lags 160 00:08:01,800 --> 00:08:04,720 Speaker 1: in the data when the economy is just chourning. It's 161 00:08:04,760 --> 00:08:07,640 Speaker 1: such a fast race is unprecedented. So it's really like 162 00:08:07,640 --> 00:08:10,560 Speaker 1: a pretty elaborate jigsaw publo. We're getting snapshots of different 163 00:08:10,560 --> 00:08:13,280 Speaker 1: pieces and kind of trying to piece it together. Um, 164 00:08:13,320 --> 00:08:15,160 Speaker 1: but yet the lags of the data are really tough 165 00:08:15,160 --> 00:08:18,080 Speaker 1: for sort of perspective views on what's going on. All right, 166 00:08:18,160 --> 00:08:21,560 Speaker 1: Dr John Johnson, Edward Analytics CEO, and an m I 167 00:08:21,600 --> 00:08:23,440 Speaker 1: T pH d economists come back and talk to us. 168 00:08:23,440 --> 00:08:25,360 Speaker 1: Thanks so much for your time. And I hear you're 169 00:08:25,400 --> 00:08:28,360 Speaker 1: on the board of the National Archives Foundation. Is National Treasure? 170 00:08:28,600 --> 00:08:34,120 Speaker 1: Kind of true? Maybe? Wow, no answer. I guess he's 171 00:08:34,120 --> 00:08:36,120 Speaker 1: off the glad. Maybe he can't answer. Coming up more 172 00:08:36,200 --> 00:08:45,640 Speaker 1: policy and politics. You're listening to Bloomberg. This is Bloomberg 173 00:08:45,840 --> 00:08:50,559 Speaker 1: Sound On with Kevin Surley on Bloomberg and one or 174 00:08:50,559 --> 00:08:54,000 Speaker 1: five point seven f m h D two. My name 175 00:08:54,040 --> 00:08:57,360 Speaker 1: is Kevin CURRELLI and I am the chief Washington correspondent 176 00:08:57,400 --> 00:09:00,280 Speaker 1: for Bloomberg TV. And radio. And I'm very excited for 177 00:09:00,360 --> 00:09:02,680 Speaker 1: our next guest because she's got a new book out 178 00:09:02,840 --> 00:09:06,440 Speaker 1: that I cannot wait to get my hands on. Uh, 179 00:09:06,480 --> 00:09:10,600 Speaker 1: it's on pre order right now. It's called Amateur, Our 180 00:09:11,080 --> 00:09:16,599 Speaker 1: Presidential Character and the Question of Leadership, and it examines 181 00:09:17,360 --> 00:09:22,000 Speaker 1: the third year of presidencies and asks this question of 182 00:09:22,480 --> 00:09:25,840 Speaker 1: will we as a society, Will we as a country 183 00:09:26,080 --> 00:09:33,240 Speaker 1: continue to elect outsiders, not just any outsider, amateur outsiders, 184 00:09:33,240 --> 00:09:37,960 Speaker 1: outsiders who maybe haven't dabbled in politics, and not just 185 00:09:38,400 --> 00:09:40,360 Speaker 1: the Donald Trump's of the world, but maybe the Oprah 186 00:09:40,360 --> 00:09:43,360 Speaker 1: Winfreyes of the world, maybe another type of celebrity businessman 187 00:09:43,679 --> 00:09:49,560 Speaker 1: entrepreneur of the world. Welcome to the program, Dr Lara Brown. Uh. 188 00:09:49,800 --> 00:09:52,640 Speaker 1: She is the author of this new forthcoming book and 189 00:09:52,679 --> 00:09:55,960 Speaker 1: also the director of the Graduate School of Political Management 190 00:09:56,000 --> 00:10:00,280 Speaker 1: at George Washington University. Dr Brown, thank you for being 191 00:10:00,320 --> 00:10:02,360 Speaker 1: here and why do you want to write this book 192 00:10:02,360 --> 00:10:05,120 Speaker 1: and what'd you find out? Well, first, thank you for 193 00:10:05,200 --> 00:10:09,080 Speaker 1: having me on, Kevin. It's great to talk today. And 194 00:10:09,640 --> 00:10:14,160 Speaker 1: I really started this with a question of how is 195 00:10:14,200 --> 00:10:20,840 Speaker 1: it that Donald Trump's character, his actual background profile as 196 00:10:20,840 --> 00:10:26,280 Speaker 1: a celebrity real estate mogul with no political experience known 197 00:10:26,360 --> 00:10:31,160 Speaker 1: to have a volatile temperament and a scandalous personal background. 198 00:10:31,880 --> 00:10:37,920 Speaker 1: Um was considered to be the sufficient character for somebody 199 00:10:37,960 --> 00:10:41,920 Speaker 1: to fill the office of the presidency like a person. 200 00:10:42,320 --> 00:10:45,160 Speaker 1: And do you mean character as character as in like 201 00:10:46,000 --> 00:10:49,000 Speaker 1: morals and ethics, or do you mean character in the 202 00:10:49,040 --> 00:10:54,080 Speaker 1: sense of a character persona. Well, so, here's what's interesting 203 00:10:54,640 --> 00:10:58,440 Speaker 1: is that character has so many different meanings. But I 204 00:10:58,480 --> 00:11:02,040 Speaker 1: would argue that sort of our our notion of it 205 00:11:02,080 --> 00:11:06,480 Speaker 1: today is that it is much more like brand than 206 00:11:06,600 --> 00:11:10,680 Speaker 1: it is um, the whole personality, right, it is what 207 00:11:10,800 --> 00:11:15,079 Speaker 1: you are known for. So in past times, character meant 208 00:11:15,679 --> 00:11:20,240 Speaker 1: not just um, kind of who you are as a person, 209 00:11:20,720 --> 00:11:26,120 Speaker 1: but also the roles that you portrayed in life. And 210 00:11:26,360 --> 00:11:30,080 Speaker 1: there was an actual effort on the part of presidents 211 00:11:30,280 --> 00:11:36,199 Speaker 1: and really your average American to step into a role 212 00:11:36,360 --> 00:11:40,080 Speaker 1: and perform that role to the highest and best ability. 213 00:11:40,160 --> 00:11:43,240 Speaker 1: And all of that's kind of broken down, um, And 214 00:11:43,280 --> 00:11:47,040 Speaker 1: we have become very enamored by the ad by the 215 00:11:47,120 --> 00:11:51,280 Speaker 1: idea of authenticity, and that all that's really needed now 216 00:11:51,760 --> 00:11:55,040 Speaker 1: is for somebody to be authentic and it doesn't really 217 00:11:55,080 --> 00:11:58,720 Speaker 1: matter if they're authentically awful, you know. I think this 218 00:11:58,840 --> 00:12:02,000 Speaker 1: is such a fascinating conversation to be having, especially right 219 00:12:02,000 --> 00:12:05,600 Speaker 1: now at the cusp of when the race is really 220 00:12:05,600 --> 00:12:07,600 Speaker 1: going to begin. And Earth said, of course, over the weekend, 221 00:12:07,880 --> 00:12:10,520 Speaker 1: you know former Vice President Joe Biden emerging out of 222 00:12:10,600 --> 00:12:14,320 Speaker 1: the basement bunker studio wearing a mask in contrast with 223 00:12:14,440 --> 00:12:17,240 Speaker 1: President Trump, who is not wearing a mask. What do 224 00:12:17,280 --> 00:12:20,760 Speaker 1: you think that says? Right there? I think it illustrates 225 00:12:20,800 --> 00:12:24,160 Speaker 1: the heart of your book as a perfect illustration of 226 00:12:24,160 --> 00:12:28,280 Speaker 1: that persona that President Trump, that authenticity right wrong or 227 00:12:28,320 --> 00:12:30,000 Speaker 1: in different You either love it or you hate it, 228 00:12:30,000 --> 00:12:33,000 Speaker 1: love it or loath them. But that right there, and 229 00:12:33,040 --> 00:12:36,360 Speaker 1: the symbol of the mask is really what you're talking about. 230 00:12:37,480 --> 00:12:40,280 Speaker 1: It is and the symbol of the mask is a 231 00:12:40,480 --> 00:12:47,040 Speaker 1: decision of a leader to basically portray a certain virtue. 232 00:12:47,440 --> 00:12:49,360 Speaker 1: So one of the things I talked about in my 233 00:12:49,400 --> 00:12:54,439 Speaker 1: book is that I analyze these presidents on essentially three 234 00:12:54,440 --> 00:12:59,680 Speaker 1: different dimensions of character. I say, are they trying to 235 00:13:00,040 --> 00:13:06,000 Speaker 1: portray courage? Are they attempting to portray a sense of compassion? 236 00:13:06,640 --> 00:13:12,600 Speaker 1: Or are they attempting to show or demonstrate their own curiosity? 237 00:13:12,640 --> 00:13:15,959 Speaker 1: Because I tend to believe that those are really the 238 00:13:16,040 --> 00:13:20,880 Speaker 1: dimensions of our behaviors at any one time. And President 239 00:13:20,920 --> 00:13:25,640 Speaker 1: Trump only knows what we might consider to be courage, right, 240 00:13:25,840 --> 00:13:31,000 Speaker 1: strength um and that sense of fortitude. He doesn't exude 241 00:13:31,320 --> 00:13:36,160 Speaker 1: or want to portray empathy or compassion. And he seems 242 00:13:36,200 --> 00:13:40,040 Speaker 1: to think that curiosity is a weakness, not a strength, 243 00:13:40,160 --> 00:13:45,560 Speaker 1: that asking questions in and of itself portrays somehow that 244 00:13:45,640 --> 00:13:48,480 Speaker 1: you don't know something. Dr Lara Brown's on the line. 245 00:13:48,520 --> 00:13:51,280 Speaker 1: She's the director of the Graduate School of Political Management 246 00:13:51,320 --> 00:13:54,120 Speaker 1: at George Washington University and the author of the new 247 00:13:54,160 --> 00:13:59,200 Speaker 1: book Amateur, Our Presidential Character and the Question of the Leadership. 248 00:13:59,320 --> 00:14:02,600 Speaker 1: Continuing at this conversation, one of the things based upon 249 00:14:02,679 --> 00:14:06,880 Speaker 1: the early reviews, in the early synopsis synopsis synopsis, I 250 00:14:06,920 --> 00:14:11,400 Speaker 1: don't know. I couldn't tell you, okay, good, I was 251 00:14:11,440 --> 00:14:15,280 Speaker 1: hoping that corrected. But what is that you arrive at 252 00:14:15,280 --> 00:14:19,600 Speaker 1: the conclusion that as a society, as a society, we 253 00:14:19,640 --> 00:14:22,840 Speaker 1: are going to continue electing these types of outsiders. Why 254 00:14:22,840 --> 00:14:26,760 Speaker 1: do you think that is? Well, so much of what 255 00:14:26,880 --> 00:14:31,920 Speaker 1: I trace this to was our country's disillusionment in the 256 00:14:31,960 --> 00:14:36,160 Speaker 1: wake of both the Vietnam War and Watergate, So you 257 00:14:36,320 --> 00:14:41,720 Speaker 1: had to kind of ultimate political insiders. Lyndon Johnson and 258 00:14:41,880 --> 00:14:46,240 Speaker 1: Richard Nixon, who both were elected to the presidency, backed 259 00:14:46,320 --> 00:14:50,480 Speaker 1: back Um, and obviously Lyndon Johnson took over after the 260 00:14:50,520 --> 00:14:53,400 Speaker 1: death of John F. Kennedy, but he was re elected 261 00:14:53,480 --> 00:14:58,560 Speaker 1: in just a landslide in sixty four. And these presidents 262 00:14:58,760 --> 00:15:02,680 Speaker 1: then let us down these roads Um with Vietnam, with 263 00:15:03,080 --> 00:15:09,080 Speaker 1: Um Johnson, and then the Watergate scandal occurring under Nixon 264 00:15:09,480 --> 00:15:13,680 Speaker 1: that really shocked the country and brought them to a 265 00:15:13,760 --> 00:15:18,280 Speaker 1: place of you know, distrust for Washington, the sense that 266 00:15:18,480 --> 00:15:23,800 Speaker 1: experts lie, the sense the political experience doesn't get you anything. 267 00:15:24,600 --> 00:15:28,280 Speaker 1: And so with that, and really since the time of 268 00:15:28,400 --> 00:15:34,400 Speaker 1: Jimmy Carter, we have been over and over again electing 269 00:15:34,560 --> 00:15:38,040 Speaker 1: people who tell us their Washington outsiders and they're going 270 00:15:38,120 --> 00:15:43,520 Speaker 1: to fix Washington. And with every iteration, it seems that 271 00:15:43,560 --> 00:15:49,480 Speaker 1: they get further outside of Washington or further outside of 272 00:15:49,520 --> 00:15:54,720 Speaker 1: the political world. Right. So, certainly, you know, Ronald Reagan 273 00:15:54,760 --> 00:15:58,040 Speaker 1: and Bill Clinton had been long time governors UM. But 274 00:15:58,240 --> 00:16:02,160 Speaker 1: then you look to somebody like George W. Bush, and 275 00:16:02,560 --> 00:16:06,560 Speaker 1: Governor UM was really the first office he had served 276 00:16:06,600 --> 00:16:10,160 Speaker 1: in and he had only been there six years. You 277 00:16:10,200 --> 00:16:14,400 Speaker 1: look at Um Barack Omama, he had only been in 278 00:16:14,400 --> 00:16:17,280 Speaker 1: the US Senate for a few years before he ran. 279 00:16:17,840 --> 00:16:22,320 Speaker 1: So this sense of I want an outsider to fix 280 00:16:22,440 --> 00:16:26,240 Speaker 1: the system. Yeah, that's what's driving this. Dr Lara Brown. 281 00:16:26,400 --> 00:16:29,440 Speaker 1: She's the director of Graduate School of Political Management at 282 00:16:29,520 --> 00:16:32,960 Speaker 1: g w U. George Washington and the author of the 283 00:16:33,000 --> 00:16:35,600 Speaker 1: new book g w G. I don't know g w 284 00:16:35,880 --> 00:16:38,120 Speaker 1: and the author of the new book Amagure Hour. Be 285 00:16:38,200 --> 00:16:39,680 Speaker 1: sure to pick it up more. Next, you're listening to 286 00:16:39,680 --> 00:16:47,320 Speaker 1: Bloomberg v. Nine one. This is Bloomberg Sound On with 287 00:16:47,400 --> 00:16:51,520 Speaker 1: Kevin Surlane on Bloomberg one and one oh five point 288 00:16:51,600 --> 00:16:55,000 Speaker 1: seven m h D two. So what everybody do over 289 00:16:55,040 --> 00:16:59,840 Speaker 1: the weekend? Governor Northam headed down for the beach. Didn't 290 00:17:00,040 --> 00:17:02,800 Speaker 1: or a mask. He stepped into folks. My name is 291 00:17:02,840 --> 00:17:05,760 Speaker 1: Kevin Serely. I'm the chief Washington correspondent for Bloomberg Television 292 00:17:05,760 --> 00:17:09,800 Speaker 1: and from Bloomberg Radio. Agenda soars on the line. Republican strategists, 293 00:17:09,880 --> 00:17:14,280 Speaker 1: former chairwoman of the Massachusetts Republican Party, founder of Conservative 294 00:17:14,280 --> 00:17:17,600 Speaker 1: Women for a Better Future. Jend, did you wear a 295 00:17:17,760 --> 00:17:23,280 Speaker 1: mask this weekend? I did? I did. I I was 296 00:17:23,320 --> 00:17:28,160 Speaker 1: wearing my maps. Republicans don't wear masks exact see see 297 00:17:28,160 --> 00:17:31,320 Speaker 1: that we can find something for everyone on this show. Jen, 298 00:17:31,400 --> 00:17:34,040 Speaker 1: I appreciate you calling in. What do you make of 299 00:17:34,080 --> 00:17:36,600 Speaker 1: the status of the reopening? Well, first, before we get 300 00:17:36,640 --> 00:17:38,959 Speaker 1: into politics, give me a give me the lowdown up 301 00:17:38,960 --> 00:17:41,320 Speaker 1: there in Patriots Country. I'm not a fan of the 302 00:17:41,320 --> 00:17:44,480 Speaker 1: New England Patriots. But what's going on with Massachusetts in 303 00:17:44,560 --> 00:17:47,840 Speaker 1: terms of the economy and reopening? Kevin? I can hear 304 00:17:47,920 --> 00:17:53,520 Speaker 1: you choking out the work very difficult for you. We 305 00:17:53,560 --> 00:17:55,159 Speaker 1: beat you guys in that one super Bowl in the 306 00:17:55,160 --> 00:17:58,159 Speaker 1: Eagles one. That's all I'm gonna say. Go ahead. We 307 00:17:58,240 --> 00:18:00,080 Speaker 1: are we are very sad that we don't have of 308 00:18:00,240 --> 00:18:02,560 Speaker 1: sports right now. I think that's that's one of the 309 00:18:03,000 --> 00:18:05,919 Speaker 1: things we're missing the most up here. Um, you know 310 00:18:06,359 --> 00:18:09,919 Speaker 1: it's Massachusetts. We I think our governor has done a 311 00:18:09,960 --> 00:18:15,560 Speaker 1: remarkable job. Um. He built an entirely new testing infrastructure 312 00:18:15,600 --> 00:18:18,920 Speaker 1: from scratch with the help of M I. T and Harvard. Um, 313 00:18:19,080 --> 00:18:23,359 Speaker 1: we're down to uh nine percent positive tests. Now we 314 00:18:23,760 --> 00:18:26,879 Speaker 1: how are closing our field hospitals where you know in 315 00:18:26,920 --> 00:18:31,879 Speaker 1: the slow reopening in phase one in Massachusetts unfortunately was 316 00:18:31,960 --> 00:18:34,959 Speaker 1: the third highest and the death toll in uh nearing 317 00:18:35,000 --> 00:18:40,200 Speaker 1: sixty folks. Um, sadly who has lost their lives. About 318 00:18:40,280 --> 00:18:43,679 Speaker 1: sixty percent of those were in nursing homes. Um. But 319 00:18:44,119 --> 00:18:48,520 Speaker 1: between the governor, between Governor Baker and Mayor walsh Um, 320 00:18:48,640 --> 00:18:52,119 Speaker 1: they worked together and they showed really what it's like 321 00:18:52,280 --> 00:18:57,119 Speaker 1: to be collaborative and work together and also work with 322 00:18:57,160 --> 00:19:00,160 Speaker 1: all of our fine hospitals. See. I find that fascinating 323 00:19:00,000 --> 00:19:03,560 Speaker 1: and just given you know, the polarization right now in 324 00:19:03,720 --> 00:19:08,000 Speaker 1: our country and many folks really nervous about the situation 325 00:19:08,160 --> 00:19:11,159 Speaker 1: for what exactly what happened up there in Boston and 326 00:19:11,200 --> 00:19:15,000 Speaker 1: suburban Boston in particular. So let me ask you as 327 00:19:15,000 --> 00:19:17,840 Speaker 1: we pin it back to to to politics for a second, 328 00:19:18,640 --> 00:19:21,240 Speaker 1: suburban nights are going to be so crucial to swing voters. 329 00:19:21,720 --> 00:19:24,840 Speaker 1: The President overperformed in twenty sixteen, and many of those 330 00:19:24,880 --> 00:19:28,960 Speaker 1: districts didn't necessarily win them, but overperformed, And suburban women 331 00:19:29,040 --> 00:19:31,280 Speaker 1: are going to be so crucial to both the Biden 332 00:19:31,280 --> 00:19:35,280 Speaker 1: campaign and the Trump reelect. Do you think President Trump 333 00:19:36,480 --> 00:19:39,399 Speaker 1: is better suited this go around since he's we already 334 00:19:39,440 --> 00:19:41,880 Speaker 1: know all the stuff that's been out there about him, 335 00:19:42,480 --> 00:19:44,000 Speaker 1: or do you think that he is still going to 336 00:19:44,040 --> 00:19:48,200 Speaker 1: struggle with suburban women. You know, it's so it's really 337 00:19:48,200 --> 00:19:51,760 Speaker 1: interesting because I don't. I mean, I put myself in 338 00:19:51,840 --> 00:19:54,760 Speaker 1: that demographic, right, I'm a mom, I've got chids. I 339 00:19:55,040 --> 00:19:57,080 Speaker 1: you know. I I listened to him and I just say, 340 00:19:57,160 --> 00:20:01,439 Speaker 1: oh God, please turn his Twitter off. Right At the 341 00:20:01,480 --> 00:20:04,080 Speaker 1: same time, it's the it doesn't because I guess the 342 00:20:04,160 --> 00:20:07,239 Speaker 1: question becomes is it the evil you know versus the 343 00:20:07,240 --> 00:20:11,000 Speaker 1: evil you don't. So we know all of Trump's sins 344 00:20:11,160 --> 00:20:15,240 Speaker 1: and we know what he is like. But you know, Biden, 345 00:20:15,359 --> 00:20:17,919 Speaker 1: you have the whole terror read situation. Is there anyone 346 00:20:17,960 --> 00:20:21,160 Speaker 1: else He's a career politician, what else has happened over 347 00:20:21,200 --> 00:20:24,440 Speaker 1: that period of time He's you know, are we are 348 00:20:24,480 --> 00:20:27,439 Speaker 1: we sure that he's not taking a vice president because 349 00:20:27,520 --> 00:20:30,119 Speaker 1: he really isn't going to make it through his entire 350 00:20:30,200 --> 00:20:33,160 Speaker 1: first term. Um, you know who is that vice president 351 00:20:33,200 --> 00:20:35,680 Speaker 1: going to be? If it's someone like Elizabeth Warren, I 352 00:20:35,760 --> 00:20:39,600 Speaker 1: can tell you right now, Biden is going to lose 353 00:20:40,000 --> 00:20:44,840 Speaker 1: big because suburban women will look at her as a 354 00:20:45,400 --> 00:20:48,720 Speaker 1: Hillary Clinton on steroids. Right. It is not the woman 355 00:20:48,760 --> 00:20:52,680 Speaker 1: who's going to lift up any other woman. So everyone 356 00:20:52,720 --> 00:20:57,000 Speaker 1: will then just automatically hold their noses and vote for Trump. Right. Okay, 357 00:20:57,040 --> 00:20:59,280 Speaker 1: so when you move this for gennosaurs on the line. 358 00:20:59,280 --> 00:21:03,240 Speaker 1: She's a Republican, just former chairwoman of the Massachusetts Republican Party, 359 00:21:03,320 --> 00:21:06,280 Speaker 1: founder of Conservative Women for a Better Future. But like 360 00:21:06,720 --> 00:21:09,640 Speaker 1: to me, based as a reporter, when I have conversations, 361 00:21:09,680 --> 00:21:12,000 Speaker 1: I just think this is gonna get ugly because I 362 00:21:12,040 --> 00:21:15,280 Speaker 1: remember the Access Hollywood tape covering that I now I'm 363 00:21:15,400 --> 00:21:21,359 Speaker 1: hearing the Tara Read allegations. This is gonna be a slugfest, absolutely, 364 00:21:21,680 --> 00:21:24,240 Speaker 1: and and any election is right And now I mean 365 00:21:24,600 --> 00:21:26,880 Speaker 1: Trump can kind of take the gloves off even more 366 00:21:27,000 --> 00:21:31,200 Speaker 1: because before with with Hillary it seemed like you can't 367 00:21:31,240 --> 00:21:34,560 Speaker 1: be the man who's beating up on a woman. But 368 00:21:34,640 --> 00:21:38,560 Speaker 1: now he it's an even fight. They're essentially the same age. Um. 369 00:21:38,600 --> 00:21:41,280 Speaker 1: You know, they both you know, have have things that 370 00:21:41,320 --> 00:21:45,159 Speaker 1: they've done that I'm sure each of them are sorry for. Um. 371 00:21:45,240 --> 00:21:47,800 Speaker 1: And so it's gonna be a success no matter what 372 00:21:47,920 --> 00:21:50,600 Speaker 1: I think. At the end of the day, though we 373 00:21:50,880 --> 00:21:54,119 Speaker 1: don't give we as a society do not give women 374 00:21:54,320 --> 00:21:58,040 Speaker 1: enough credit for having their own thoughts and their own 375 00:21:58,160 --> 00:22:02,600 Speaker 1: views on I They want to see someone in the office, 376 00:22:03,000 --> 00:22:05,879 Speaker 1: so they want to feel secure. They want security, they 377 00:22:05,880 --> 00:22:08,720 Speaker 1: want economic security, they want women want to know that 378 00:22:09,040 --> 00:22:12,960 Speaker 1: we have opportunities for jobs, that our kids are going 379 00:22:13,040 --> 00:22:16,760 Speaker 1: to get the best education no matter what. And I 380 00:22:16,800 --> 00:22:19,000 Speaker 1: think what happens a lot on the Democratic side is 381 00:22:19,040 --> 00:22:23,359 Speaker 1: that there's a big focus on social issues and social 382 00:22:23,400 --> 00:22:26,600 Speaker 1: issues only. But I think that when we get past 383 00:22:26,640 --> 00:22:30,200 Speaker 1: the pandemic and we get into the presidential election again 384 00:22:30,560 --> 00:22:33,320 Speaker 1: and the economy starts to go up, and women have 385 00:22:33,440 --> 00:22:37,199 Speaker 1: been the ones holding jobs down, and women are the 386 00:22:37,240 --> 00:22:40,679 Speaker 1: ones who are teaching our children. Many women are teaching 387 00:22:40,680 --> 00:22:43,600 Speaker 1: our children and are on the front lines of this. 388 00:22:44,080 --> 00:22:46,600 Speaker 1: And I think when we see us re emerge, they're 389 00:22:46,600 --> 00:22:49,280 Speaker 1: going to be many more opportunities. The economy is going 390 00:22:49,359 --> 00:22:53,119 Speaker 1: to go back up. If people feel safe, families feel safe, 391 00:22:53,359 --> 00:22:56,320 Speaker 1: we're going to see that. Okay, you know, we were 392 00:22:56,359 --> 00:22:58,840 Speaker 1: coming out of this and who is the person who 393 00:22:58,920 --> 00:23:02,919 Speaker 1: is there? And so I think that that that favors Trump. 394 00:23:03,160 --> 00:23:05,840 Speaker 1: This is not a landslide, This is not open and closed. 395 00:23:06,040 --> 00:23:09,520 Speaker 1: Trump has to be really careful and cautious UM to 396 00:23:09,680 --> 00:23:12,840 Speaker 1: make sure that he's not it's not alienating and offending 397 00:23:12,880 --> 00:23:15,479 Speaker 1: any more women than he already has in the past. 398 00:23:15,920 --> 00:23:19,080 Speaker 1: But again, I don't think Biden's running away from the 399 00:23:19,160 --> 00:23:22,879 Speaker 1: terror read situation UM was helping anything, you know, but 400 00:23:23,080 --> 00:23:25,120 Speaker 1: you mentioned the tweets since started the program, and I mean, 401 00:23:25,119 --> 00:23:27,840 Speaker 1: you go to any of the major publications right now, 402 00:23:27,920 --> 00:23:31,080 Speaker 1: or any of the major liberal and or or conservative blogs, 403 00:23:31,400 --> 00:23:35,240 Speaker 1: and they're all talking about the twitter, the things that 404 00:23:35,240 --> 00:23:38,639 Speaker 1: he's tweeted about Joe Scarborough and and the whole insertn 405 00:23:38,720 --> 00:23:41,919 Speaker 1: situation and the father of the woman who passed away 406 00:23:42,520 --> 00:23:45,600 Speaker 1: and requesting that these tweets be taken down. And it's 407 00:23:45,640 --> 00:23:47,919 Speaker 1: just more you know, you say you don't like the tweets, 408 00:23:47,920 --> 00:23:51,479 Speaker 1: and but it just is more noises that helpful in 409 00:23:51,560 --> 00:23:54,360 Speaker 1: your view to the president's re election effort. And why 410 00:23:54,440 --> 00:23:57,600 Speaker 1: is he doing you know someone, I mean from day one, 411 00:23:57,600 --> 00:23:59,360 Speaker 1: I said so much should take his phone away. I mean, 412 00:23:59,400 --> 00:24:01,560 Speaker 1: it's like having one of my teenagers and taking their 413 00:24:01,600 --> 00:24:03,880 Speaker 1: phone and throwing it in a safe. You know, he's 414 00:24:03,920 --> 00:24:06,320 Speaker 1: he's kind of been the same categories, but we know 415 00:24:06,480 --> 00:24:09,440 Speaker 1: that about him. So so at the end of the day, 416 00:24:09,480 --> 00:24:12,720 Speaker 1: when you are lecting people to office, sometimes you have 417 00:24:12,880 --> 00:24:17,320 Speaker 1: to put their personality traits on hold and look at 418 00:24:17,400 --> 00:24:20,080 Speaker 1: how they are as a leader and that what are 419 00:24:20,119 --> 00:24:23,680 Speaker 1: they doing and what is your level of I remember 420 00:24:23,720 --> 00:24:28,200 Speaker 1: back two thousand and one September eleven and thinking George 421 00:24:28,320 --> 00:24:32,800 Speaker 1: w was a hero because I felt more comfortable knowing 422 00:24:32,840 --> 00:24:37,399 Speaker 1: that he was our president at the time, not less comfortable. 423 00:24:37,760 --> 00:24:40,359 Speaker 1: And you want to feel that the economy is going 424 00:24:40,400 --> 00:24:42,800 Speaker 1: to get back on its feet. You want to feel 425 00:24:42,880 --> 00:24:47,000 Speaker 1: that your national security is safe and and doing what 426 00:24:47,000 --> 00:24:49,239 Speaker 1: it's supposed to do, and your family is okay, and 427 00:24:49,240 --> 00:24:52,240 Speaker 1: that there aren't going to be any type of threats. 428 00:24:52,280 --> 00:24:57,720 Speaker 1: And so if Trump could maybe from stop acting like 429 00:24:57,960 --> 00:25:01,119 Speaker 1: he's the kid in the sandbox and and just calling names, 430 00:25:01,720 --> 00:25:04,600 Speaker 1: I think a lot of it too is deflecting from 431 00:25:04,760 --> 00:25:07,679 Speaker 1: what he's he's trying to do right now. We have 432 00:25:07,760 --> 00:25:10,000 Speaker 1: to get through this pandemic, you know, and and it's 433 00:25:10,040 --> 00:25:12,199 Speaker 1: it's there's so many unknownes with this election. Will the 434 00:25:12,240 --> 00:25:15,640 Speaker 1: pandemic be over by that, will most of the economy 435 00:25:15,640 --> 00:25:18,720 Speaker 1: be reopened? Will there be heaven forbid a resurgence of 436 00:25:18,760 --> 00:25:21,159 Speaker 1: the virus? No one wants to see that on either side. 437 00:25:21,520 --> 00:25:24,520 Speaker 1: And and you know what other political mud on both 438 00:25:24,520 --> 00:25:27,840 Speaker 1: sides will be tossed at each other. You mentioned the economy, 439 00:25:27,880 --> 00:25:29,920 Speaker 1: Let's just talk. Let's check in with the Bloomberg terminal 440 00:25:30,000 --> 00:25:31,919 Speaker 1: for a second. Because the stock rally was tempered by 441 00:25:31,960 --> 00:25:35,840 Speaker 1: China tensions, US stocks rose but closed sharply off their 442 00:25:35,920 --> 00:25:38,840 Speaker 1: highs after Bloomberg News reported that the Trump administration is 443 00:25:38,840 --> 00:25:43,960 Speaker 1: considering sanctions on Chinese officials, threatening to escalate tensions between 444 00:25:44,000 --> 00:25:48,200 Speaker 1: the world's two largest economies. The SMP five hundred ended 445 00:25:48,320 --> 00:25:51,200 Speaker 1: up one point two percent at an eleven week hi 446 00:25:51,359 --> 00:25:54,880 Speaker 1: giving up in the final half hour of training. Almost 447 00:25:54,880 --> 00:25:57,879 Speaker 1: fifty percent gains the top two percent. This was the 448 00:25:57,920 --> 00:26:00,000 Speaker 1: first day that the New York Stock Exchange that every 449 00:26:00,000 --> 00:26:02,720 Speaker 1: one had returned to work, mind you, so it was 450 00:26:03,000 --> 00:26:06,439 Speaker 1: a returning day. And hey, I just saw the breaking 451 00:26:06,440 --> 00:26:11,320 Speaker 1: news at the NHL. Jen has announced plans for a reopening, 452 00:26:11,440 --> 00:26:15,240 Speaker 1: So at least one major sports league is already announcing 453 00:26:15,440 --> 00:26:19,439 Speaker 1: their plans. Gendosaur Republican strategists and former chairwoman of the 454 00:26:19,440 --> 00:26:23,639 Speaker 1: Massachusetts Republican Party, founder of Conservative Women for a Better Future. 455 00:26:23,680 --> 00:26:26,040 Speaker 1: Thank you for joining us and coming up next, we 456 00:26:26,160 --> 00:26:29,760 Speaker 1: talk all We talked with Chuck Marino's CEO of Sentinel 457 00:26:30,160 --> 00:26:34,600 Speaker 1: Security Solution, everything about pro sports. We're gonna talk more 458 00:26:34,680 --> 00:26:38,240 Speaker 1: pro sports and reopening. I'm Kevin silly, you're listening to Bloomberg. 459 00:26:44,640 --> 00:26:49,199 Speaker 1: This is Bloomberg's Sound On with Kevin Shirley on Bloomberg 460 00:26:50,320 --> 00:26:52,720 Speaker 1: and one oh five point seven f M h D two. 461 00:26:54,240 --> 00:26:59,280 Speaker 1: I'm Kevin Sireley, Chief Washington correspondent for Bloomberg Television and 462 00:26:59,359 --> 00:27:04,119 Speaker 1: for Bloomberg Radio. Chuck Marinos, CEO of Sentinel Security Solutions, 463 00:27:04,200 --> 00:27:08,840 Speaker 1: joins us. He's former DHS advisor and former Secret Service 464 00:27:09,200 --> 00:27:14,200 Speaker 1: Revisory Special Agent. That's a mouthful, Chuck, thanks for joining us. UM. 465 00:27:14,240 --> 00:27:17,800 Speaker 1: I want to talk to you about reopenings because in 466 00:27:17,920 --> 00:27:21,440 Speaker 1: terms of reopening the economy everything, it's like a patchwork. 467 00:27:21,720 --> 00:27:25,320 Speaker 1: You've got California, New York, in Texas. They've all been 468 00:27:25,400 --> 00:27:29,560 Speaker 1: given the all clear to resume pro sports next month. 469 00:27:29,640 --> 00:27:30,840 Speaker 1: But what do you do if you don't live in 470 00:27:30,840 --> 00:27:35,119 Speaker 1: those states? Chuck? Hey, Kevin, how are you? Thanks for 471 00:27:35,160 --> 00:27:39,720 Speaker 1: having me here. You bring up a very complicated logistical 472 00:27:39,840 --> 00:27:44,560 Speaker 1: issue that the sports leagues are working through right now. 473 00:27:45,240 --> 00:27:48,080 Speaker 1: So you know, let's let's look at this and remember 474 00:27:48,200 --> 00:27:51,240 Speaker 1: that each of the sports leagues are in their own 475 00:27:51,359 --> 00:27:54,560 Speaker 1: kind of different situation. Right. We had the NBA and 476 00:27:55,040 --> 00:28:00,400 Speaker 1: NHL have their seasons abruptly canceled just prior to the playoffs, right, 477 00:28:00,880 --> 00:28:04,080 Speaker 1: so they're looking to make up a shorter duration. Then 478 00:28:04,080 --> 00:28:07,800 Speaker 1: you've got Major League Baseball, who's making a decision on 479 00:28:08,000 --> 00:28:10,840 Speaker 1: what their full season is going to look like. Um, 480 00:28:10,880 --> 00:28:14,399 Speaker 1: their full season may be just half the amount of games. 481 00:28:14,800 --> 00:28:17,320 Speaker 1: And then you've got the NFL that's kind of on 482 00:28:17,400 --> 00:28:19,920 Speaker 1: the tail end of all this. That is the one 483 00:28:20,040 --> 00:28:23,080 Speaker 1: league that really has what I would call the luxury 484 00:28:23,280 --> 00:28:27,120 Speaker 1: of time to observe what the other leagues are gonna do. 485 00:28:27,600 --> 00:28:32,560 Speaker 1: Maybe that the situation changes in terms of the coronavirus 486 00:28:32,680 --> 00:28:35,480 Speaker 1: amounts that are going on. Maybe there's a decrease that 487 00:28:35,640 --> 00:28:38,560 Speaker 1: levels off. So they really are, what I would say, 488 00:28:38,720 --> 00:28:42,880 Speaker 1: in the best strategic position to describe, to decide what 489 00:28:42,960 --> 00:28:45,160 Speaker 1: they want to do. And I think as you hear 490 00:28:45,200 --> 00:28:48,360 Speaker 1: from them right now, um, they're committed to playing their 491 00:28:48,440 --> 00:28:51,840 Speaker 1: season um as scheduled, the same amount of games, no 492 00:28:52,080 --> 00:28:56,120 Speaker 1: changes fans in the stands. That's a more complicated issue 493 00:28:56,160 --> 00:28:58,200 Speaker 1: that we can go into. Well that's what Yeah, that's 494 00:28:58,240 --> 00:28:59,479 Speaker 1: what I want to That's where I want to take 495 00:28:59,520 --> 00:29:03,000 Speaker 1: the conversation Asian with Chuck Marino, CEO of Sentinel Security Solutions. 496 00:29:03,040 --> 00:29:05,800 Speaker 1: You know you've worked at DHS, your former Secret Service 497 00:29:05,800 --> 00:29:08,800 Speaker 1: supervisory Special Agents. I don't even know what that means. 498 00:29:08,880 --> 00:29:10,200 Speaker 1: What does it? First of all, what does that mean? 499 00:29:11,440 --> 00:29:14,600 Speaker 1: I must be special in some way. Yes, well no, 500 00:29:14,760 --> 00:29:17,040 Speaker 1: but seriously, I mean what what what is that title? 501 00:29:17,240 --> 00:29:19,240 Speaker 1: Thank you for your service? But that that must mean 502 00:29:19,280 --> 00:29:21,920 Speaker 1: you're pretty far up there, my friend. Um. But with 503 00:29:22,000 --> 00:29:24,160 Speaker 1: fans in the stands, I mean that's a huge deal. 504 00:29:24,600 --> 00:29:27,960 Speaker 1: That's a huge deal because number one, I think, first 505 00:29:28,000 --> 00:29:31,760 Speaker 1: and foremost, who would be able to go to the games? 506 00:29:31,800 --> 00:29:37,680 Speaker 1: That presents some challenges with social inequality. Yeah, it sure does. 507 00:29:37,920 --> 00:29:40,719 Speaker 1: You know that. The first thing in speaking new you know, 508 00:29:40,840 --> 00:29:44,040 Speaker 1: my my sources and in each of the leagues, they 509 00:29:44,160 --> 00:29:48,680 Speaker 1: understand and appreciate, UM, the role that sports plays in 510 00:29:48,760 --> 00:29:52,920 Speaker 1: our in our communities and across the country. But that 511 00:29:53,160 --> 00:29:57,360 Speaker 1: is not going to supersede UM their commitment to doing 512 00:29:57,400 --> 00:30:01,360 Speaker 1: this safely and making or that the overall safety and 513 00:30:01,360 --> 00:30:06,719 Speaker 1: security and health of everybody involved remains first and foremost. 514 00:30:07,160 --> 00:30:09,680 Speaker 1: So I think the reality of the situation is this 515 00:30:10,240 --> 00:30:13,840 Speaker 1: UM NFL. Aside for the points I raised earlier, I 516 00:30:13,880 --> 00:30:17,480 Speaker 1: think the NBA and Major League Baseball, as we saw 517 00:30:17,520 --> 00:30:20,840 Speaker 1: with NASCAR last week, you're not going to see fans 518 00:30:21,280 --> 00:30:24,520 Speaker 1: um in the stands. As as these leagues start up, 519 00:30:24,800 --> 00:30:26,680 Speaker 1: which I have great confidence they're going to come up 520 00:30:26,720 --> 00:30:30,320 Speaker 1: with ideas. You're hearing about the NBA talking about possibly 521 00:30:30,360 --> 00:30:33,800 Speaker 1: going down to Disney World, UM, down to the ESPN 522 00:30:34,200 --> 00:30:37,320 Speaker 1: wide world of sports facilities. That makes a lot of 523 00:30:37,360 --> 00:30:39,760 Speaker 1: sense for the duration of time that they're looking for 524 00:30:39,880 --> 00:30:42,280 Speaker 1: to make up to the playoffs in the finals, where 525 00:30:42,280 --> 00:30:44,760 Speaker 1: you can have almost a secure campus, you know, Kevin, 526 00:30:45,120 --> 00:30:48,080 Speaker 1: you can have players and teams practice there, you can 527 00:30:48,080 --> 00:30:50,560 Speaker 1: have them play their games there, and you can house 528 00:30:50,640 --> 00:30:54,000 Speaker 1: them there. So you're kind of creating this this secure 529 00:30:54,240 --> 00:30:59,680 Speaker 1: environments where COVID tests are giving UM, body temperature detection 530 00:30:59,760 --> 00:31:03,440 Speaker 1: dividaces are being used to check temperatures on on a 531 00:31:03,560 --> 00:31:09,680 Speaker 1: daily basis, and wellness questions are asked each and everyday, contact, travel, UM, 532 00:31:09,720 --> 00:31:12,239 Speaker 1: any other symptoms. They don't need to worry about that. 533 00:31:12,560 --> 00:31:15,800 Speaker 1: Major League Baseball the same thing, you know, just keeping 534 00:31:15,800 --> 00:31:19,520 Speaker 1: these sports leagues, Kevin, um contained out of the gate 535 00:31:19,680 --> 00:31:25,280 Speaker 1: to just players, staff, and and other essential employees. You're 536 00:31:25,320 --> 00:31:29,200 Speaker 1: still talking about a few hundred people that are required 537 00:31:29,240 --> 00:31:33,320 Speaker 1: to support these games, including those responsible for televising them. 538 00:31:33,600 --> 00:31:39,080 Speaker 1: So I think, you know, implement all the multilayered solutions 539 00:31:39,160 --> 00:31:42,239 Speaker 1: that we're revising all of our clients to do, and 540 00:31:42,280 --> 00:31:47,600 Speaker 1: that is temperature screening, COVID testing, wellness checks, really keeping 541 00:31:47,600 --> 00:31:53,560 Speaker 1: these facilities uh super sanitized, UM and and practicing you know, 542 00:31:53,640 --> 00:31:57,960 Speaker 1: social distancing all the CDC recommendations. So do you think 543 00:31:58,000 --> 00:32:00,880 Speaker 1: that that we're going to be back entire him for 544 00:32:01,200 --> 00:32:05,720 Speaker 1: NFL football? When When will it return to normal? When 545 00:32:05,760 --> 00:32:08,120 Speaker 1: will the sports leagues return to normal with fans in 546 00:32:08,120 --> 00:32:12,560 Speaker 1: the stands? I think we're a long way off from that. Um. 547 00:32:12,880 --> 00:32:15,800 Speaker 1: You know, this is, as I like to say, is 548 00:32:15,880 --> 00:32:20,840 Speaker 1: going to look and feel a lot different the country 549 00:32:20,880 --> 00:32:23,320 Speaker 1: as you know, looks to sports. You know, we have 550 00:32:23,560 --> 00:32:26,520 Speaker 1: we have to look no further back than after September 551 00:32:26,640 --> 00:32:29,760 Speaker 1: eleven and the role that Major League Baseball and the 552 00:32:29,840 --> 00:32:34,360 Speaker 1: NFL played in kind of indicating to the country that 553 00:32:34,400 --> 00:32:37,640 Speaker 1: we were getting back on our feet while slowly we 554 00:32:37,640 --> 00:32:40,520 Speaker 1: were getting back on our feet and sports were resuming. 555 00:32:40,760 --> 00:32:42,840 Speaker 1: I think we're going to see the same type of 556 00:32:42,920 --> 00:32:46,880 Speaker 1: situation here, but it's going to be much different. Um, 557 00:32:46,880 --> 00:32:49,160 Speaker 1: no stands to start off, no fans to start off 558 00:32:49,200 --> 00:32:51,760 Speaker 1: within the stands, as as I discussed, and then I 559 00:32:51,800 --> 00:32:56,480 Speaker 1: think you see definitely with Major League Baseball the possibility 560 00:32:56,800 --> 00:33:01,080 Speaker 1: of incremental san attendance. I mean I'm talking about maybe 561 00:33:01,080 --> 00:33:05,320 Speaker 1: in the vicinity of again you have to prove the 562 00:33:05,400 --> 00:33:08,880 Speaker 1: policies and the procedures are working. Once they work, you 563 00:33:08,920 --> 00:33:12,240 Speaker 1: don't want to overwhelm yourself and go against everything that's 564 00:33:12,280 --> 00:33:16,600 Speaker 1: been recommended by the health professionals. Hey, Chuck Marino, CEO 565 00:33:16,640 --> 00:33:19,720 Speaker 1: of Sentinel Security Solutions, talk to us from a business perspective. 566 00:33:19,920 --> 00:33:21,239 Speaker 1: Take us in the minds of the heads of these 567 00:33:21,240 --> 00:33:23,320 Speaker 1: sports leagues and the c s c e o s, 568 00:33:23,360 --> 00:33:25,600 Speaker 1: and less about the fans for just a minute, Like 569 00:33:25,760 --> 00:33:28,200 Speaker 1: what are some of the actual concerns that they have 570 00:33:28,720 --> 00:33:33,880 Speaker 1: as business leaders? And the liability I think as business 571 00:33:33,960 --> 00:33:37,560 Speaker 1: leaders and the liability in the communities where they're located 572 00:33:37,960 --> 00:33:42,360 Speaker 1: is simply this. Whether you're a large fortune company or 573 00:33:42,400 --> 00:33:45,640 Speaker 1: your sports team and you've got an arena hosting sports 574 00:33:45,680 --> 00:33:48,720 Speaker 1: and concerts and you're looking to get back into business, 575 00:33:49,280 --> 00:33:51,880 Speaker 1: none of these leaders wants to be responsible for an 576 00:33:51,920 --> 00:33:55,280 Speaker 1: outbreak in their communities that can set their their communities 577 00:33:55,320 --> 00:33:59,440 Speaker 1: back um several steps. So that's first and foremost. That's 578 00:33:59,480 --> 00:34:02,520 Speaker 1: that's where where not only is there some liability with that, 579 00:34:02,640 --> 00:34:05,640 Speaker 1: but also you're dealing with the public relations uh, and 580 00:34:05,760 --> 00:34:08,839 Speaker 1: you're dealing with sick people. So nobody wants to deal 581 00:34:08,920 --> 00:34:10,920 Speaker 1: with that. They're going to make sure take it slow 582 00:34:11,239 --> 00:34:13,920 Speaker 1: and make sure that they have the approved policies and 583 00:34:13,960 --> 00:34:16,560 Speaker 1: procedures to make sure they're safe. And Kevin, you know 584 00:34:16,600 --> 00:34:19,680 Speaker 1: you brought it up earlier. No states are in exactly 585 00:34:19,719 --> 00:34:22,800 Speaker 1: the same point. You've got the states in terms deciding 586 00:34:22,840 --> 00:34:24,560 Speaker 1: how they're rolling it out and how they're going to 587 00:34:24,640 --> 00:34:27,600 Speaker 1: reopen businesses and these large venues. Then you've got the 588 00:34:27,640 --> 00:34:30,280 Speaker 1: counties within the states. Then you've got the cities within 589 00:34:30,320 --> 00:34:32,960 Speaker 1: the counties. Right, you have to look no further than 590 00:34:33,000 --> 00:34:35,600 Speaker 1: San Francisco and New York City who are still under 591 00:34:35,640 --> 00:34:38,120 Speaker 1: shelter and place orders to the middle of June. So 592 00:34:38,200 --> 00:34:40,560 Speaker 1: that's an example there where they're going to have to 593 00:34:40,640 --> 00:34:43,640 Speaker 1: navigate all this not just with the states, but also 594 00:34:43,719 --> 00:34:48,040 Speaker 1: their local um, their local leaders, health and safety leaders, 595 00:34:48,080 --> 00:34:51,200 Speaker 1: and medical directors to make sure that there's almost a 596 00:34:51,320 --> 00:34:55,359 Speaker 1: collaboration and sign off an agreement in what the protocols 597 00:34:55,440 --> 00:34:58,440 Speaker 1: are being put in place for these arenas. City and 598 00:34:58,520 --> 00:35:00,840 Speaker 1: local officials are deaf that we're gonna want to be 599 00:35:00,920 --> 00:35:03,440 Speaker 1: involved in that process. And plus then in the restaurants 600 00:35:03,440 --> 00:35:05,640 Speaker 1: in the bars, I mean, my uncle Mikey has a 601 00:35:05,680 --> 00:35:07,239 Speaker 1: hog shop, I mean, and you just talk to them 602 00:35:07,239 --> 00:35:09,600 Speaker 1: when the Eagles do good. That's that's that's the business 603 00:35:09,600 --> 00:35:12,400 Speaker 1: source back in Delco because because of that so, I mean, 604 00:35:12,440 --> 00:35:15,759 Speaker 1: there's just so many different things that to to thinking 605 00:35:15,760 --> 00:35:17,520 Speaker 1: about eight Chuck, I gotta ask who you buyas for 606 00:35:17,560 --> 00:35:22,000 Speaker 1: who do you root for. I'm a Giants fan. I 607 00:35:22,120 --> 00:35:26,440 Speaker 1: knew it, Chuck Marino, CEO of Sentinel Security Solutions. I 608 00:35:26,520 --> 00:35:28,959 Speaker 1: talked to a Patriots fan of a Giants fan today. 609 00:35:29,040 --> 00:35:31,480 Speaker 1: It's like I don't even know myself anymore. Chuck's the 610 00:35:31,560 --> 00:35:35,960 Speaker 1: former DHS advisor, former Secret Service Supervisory special Agent, and 611 00:35:36,000 --> 00:35:39,160 Speaker 1: we appreciate him coming on the program. Download the Bloomberg 612 00:35:39,200 --> 00:35:41,480 Speaker 1: sam On podcast on appali Jians and Bloomberg dot com, 613 00:35:41,680 --> 00:35:43,799 Speaker 1: or by downloading the Bloomberg Business app. You can also 614 00:35:43,800 --> 00:35:46,760 Speaker 1: find us on Radio dot com, I Heart Radio, and Spotify. 615 00:35:46,840 --> 00:35:49,640 Speaker 1: My name is Kevin Cilli. I'm the chief Washington correspondent 616 00:35:49,680 --> 00:35:51,840 Speaker 1: for Bloomberg TV and Radio. And thank you, thank you, 617 00:35:51,880 --> 00:36:02,840 Speaker 1: thank you for listening to Bloomberg Now that has no 618 00:36:03,320 --> 00:36:07,040 Speaker 1: ling be stingy