1 00:00:00,480 --> 00:00:03,480 Speaker 1: As Democrats a power in the Republicans. President Trump was 2 00:00:03,520 --> 00:00:06,120 Speaker 1: sent here to smash conventional norms. I would rather see 3 00:00:06,120 --> 00:00:09,319 Speaker 1: a congressional solution. It's part of my DNA. This is 4 00:00:09,360 --> 00:00:20,440 Speaker 1: Bloomberg sound on on Bloomberg two. Possible plateau in New York. 5 00:00:21,079 --> 00:00:25,680 Speaker 1: Possible plateau in New York on COVID nineteen. This is 6 00:00:25,840 --> 00:00:30,479 Speaker 1: US debts topping ten thousand and Boris Johnson moved to 7 00:00:30,600 --> 00:00:35,159 Speaker 1: intensive care with COVID nineteen worsening, stocks surging to a 8 00:00:35,240 --> 00:00:40,880 Speaker 1: three week high on easing virus toll. So, how how 9 00:00:41,479 --> 00:00:45,440 Speaker 1: will America reopened? We're gonna put that question precisely to 10 00:00:45,520 --> 00:00:50,360 Speaker 1: Congressman Denver Riggleman, a Republican from Virginia. I hope everyone's 11 00:00:50,400 --> 00:00:53,440 Speaker 1: been following all of the Bloomberg terminal charts as it 12 00:00:53,520 --> 00:00:57,160 Speaker 1: relates to a potential peak, because there are some possible 13 00:00:57,320 --> 00:01:00,640 Speaker 1: signs of a plateau in New York. Work, so goes 14 00:01:00,720 --> 00:01:03,840 Speaker 1: New York, it seems, so goes the nation. More signs 15 00:01:03,840 --> 00:01:07,560 Speaker 1: emerged that the crisis maybe easing in some areas, sending 16 00:01:07,600 --> 00:01:13,640 Speaker 1: stocks soaring. Italy, France, Germany, and Spain reported lower numbers 17 00:01:14,160 --> 00:01:19,399 Speaker 1: of new coronavirus cases. Finally, finally, finally, and in New York, 18 00:01:19,400 --> 00:01:22,520 Speaker 1: Governor Andrew Cuomo says that the deaths were showing indications 19 00:01:22,840 --> 00:01:25,679 Speaker 1: of hitting a plateau that curve, that curve that we 20 00:01:25,680 --> 00:01:28,959 Speaker 1: want to flatten that curve. UK deaths also sold for 21 00:01:28,959 --> 00:01:32,760 Speaker 1: a second day, even though this horrific, horrific news development 22 00:01:32,760 --> 00:01:36,680 Speaker 1: on the COVID nineteen saga because of Prime Minister Boris 23 00:01:36,760 --> 00:01:40,680 Speaker 1: Johnson who was hospitalized yesterday guys, and then for ten days, 24 00:01:40,680 --> 00:01:43,880 Speaker 1: and after he spent ten days in isolation, and then 25 00:01:43,880 --> 00:01:47,280 Speaker 1: we just get the reports from earlier this morning that 26 00:01:47,440 --> 00:01:51,800 Speaker 1: he's in the intensive care. So it's still a very serious. 27 00:01:52,000 --> 00:01:53,760 Speaker 1: It's it's hard to report on this story, and it's 28 00:01:53,760 --> 00:01:57,640 Speaker 1: hard to talk about it because it's so incredibly serious 29 00:01:57,680 --> 00:02:01,040 Speaker 1: and you're looking for hope. But we can let our 30 00:02:01,160 --> 00:02:03,920 Speaker 1: hope have us walk back on all the progress be 31 00:02:04,000 --> 00:02:06,120 Speaker 1: made with the social distancing and whatnot. Joining us on 32 00:02:06,160 --> 00:02:08,680 Speaker 1: the line, a good friend of the program, Congressman Denver 33 00:02:08,800 --> 00:02:13,640 Speaker 1: Riggleman just in the d m VS backyard, Republican from Virginia, Congressman, 34 00:02:13,919 --> 00:02:17,040 Speaker 1: give us an update. How are you and your constituents 35 00:02:17,080 --> 00:02:20,560 Speaker 1: handling COVID night team? You know the best we can, 36 00:02:20,720 --> 00:02:22,920 Speaker 1: I was just listening to you, Kevin. And I was 37 00:02:22,960 --> 00:02:26,520 Speaker 1: just on a call today with our not in our constituents, 38 00:02:26,560 --> 00:02:31,200 Speaker 1: my colleagues from an infectious disease expert in Pennsylvania, and Uh, 39 00:02:31,520 --> 00:02:34,720 Speaker 1: I gotta tell you, UM, there are some good signs 40 00:02:34,760 --> 00:02:36,720 Speaker 1: out there, but the issue that we're having and there's 41 00:02:36,720 --> 00:02:40,560 Speaker 1: still hotspots like Louisiana. Um, there's still areas that are 42 00:02:40,600 --> 00:02:44,600 Speaker 1: not doing very well. Florida. I think that, Yeah, Florida 43 00:02:44,680 --> 00:02:47,320 Speaker 1: is not doing well at all. And what he's talking 44 00:02:47,320 --> 00:02:50,200 Speaker 1: about right now is that you know, he's thinking and 45 00:02:50,240 --> 00:02:51,840 Speaker 1: I just want to say this, Kevin, and you know 46 00:02:51,880 --> 00:02:54,360 Speaker 1: we're getting different data from other people, but he's thinking 47 00:02:54,400 --> 00:02:57,560 Speaker 1: middle of summer before we can even start an incremental 48 00:02:57,600 --> 00:03:02,079 Speaker 1: getting back you know, to normal at this point. So Congressman, 49 00:03:02,120 --> 00:03:04,959 Speaker 1: you and I'm talking, but I mean I hear that, 50 00:03:05,200 --> 00:03:07,639 Speaker 1: and people in their cars here and that are people 51 00:03:07,680 --> 00:03:10,519 Speaker 1: listening on on all of our different platforms hearing that. 52 00:03:10,520 --> 00:03:14,880 Speaker 1: That is nails on a chalkboard. And I know people 53 00:03:14,919 --> 00:03:17,080 Speaker 1: want to get back to work. So when you say 54 00:03:17,280 --> 00:03:23,280 Speaker 1: middle of summer, are you saying that for the whole country? Uh? 55 00:03:23,320 --> 00:03:25,120 Speaker 1: That's why I think we need to have a regional 56 00:03:25,160 --> 00:03:28,320 Speaker 1: mitigation plan. Kevin, So me and you had discussed this before, 57 00:03:28,520 --> 00:03:31,320 Speaker 1: and I think, yeah, I think it's some port At 58 00:03:31,360 --> 00:03:33,720 Speaker 1: some point we got to see those areas that are 59 00:03:33,720 --> 00:03:35,280 Speaker 1: starting to do a little bit better and see if 60 00:03:35,280 --> 00:03:38,600 Speaker 1: we can mitigate that to let businesses get back get 61 00:03:38,600 --> 00:03:40,960 Speaker 1: back online. Because not only did I have a call 62 00:03:41,280 --> 00:03:43,280 Speaker 1: and this is what I was gonna compare and contrast, 63 00:03:43,640 --> 00:03:45,200 Speaker 1: I had a call about that. Then I had a 64 00:03:45,200 --> 00:03:48,080 Speaker 1: call with bankers for having trouble with the portal and 65 00:03:48,160 --> 00:03:51,160 Speaker 1: liquidity and access and they're saying, hey, Denver, you know 66 00:03:51,240 --> 00:03:53,000 Speaker 1: we need this now. This money is here that we 67 00:03:53,080 --> 00:03:55,200 Speaker 1: can't access, We're not able to do what we need 68 00:03:55,240 --> 00:03:57,240 Speaker 1: to do. Let's get going here. And then I had 69 00:03:57,280 --> 00:04:00,840 Speaker 1: another call with our own infectious disease expert here in 70 00:04:00,920 --> 00:04:03,760 Speaker 1: Virginia and they're talking about end of May. So I 71 00:04:03,760 --> 00:04:06,400 Speaker 1: guess what I'm telling everybody is this, You're gonna get 72 00:04:06,400 --> 00:04:08,640 Speaker 1: a lot of differing information out there based on the 73 00:04:08,680 --> 00:04:10,640 Speaker 1: areas of the country that are fighting this, like from 74 00:04:10,640 --> 00:04:14,280 Speaker 1: Pennsylvania or Louisiana or Florida. The issue have is we've 75 00:04:14,280 --> 00:04:16,839 Speaker 1: got to flatteness curve. So we've got to somehow find 76 00:04:16,839 --> 00:04:20,000 Speaker 1: a mitigating middle ground where we're not always you know, 77 00:04:20,360 --> 00:04:22,120 Speaker 1: we got to air on the side of safety, but 78 00:04:22,240 --> 00:04:25,200 Speaker 1: we are having problem with businesses. So my question, getting 79 00:04:25,200 --> 00:04:27,760 Speaker 1: all the way back full circle, there is some hope, 80 00:04:28,080 --> 00:04:30,719 Speaker 1: but I have certainly for businesses, I'm starting to feel 81 00:04:30,720 --> 00:04:33,200 Speaker 1: a little bit of fear and despair as I'm talking 82 00:04:33,240 --> 00:04:34,840 Speaker 1: to them every day, and you and I and I 83 00:04:34,880 --> 00:04:36,920 Speaker 1: told you this last week, Congressman. I mean, I'm hearing 84 00:04:36,960 --> 00:04:38,960 Speaker 1: a lot of fear. I'm hearing a lot of despair, 85 00:04:39,320 --> 00:04:43,719 Speaker 1: and it's it's really unnerving when you say, let's let's 86 00:04:43,760 --> 00:04:45,720 Speaker 1: unpackage this a little bit. When you say we need 87 00:04:45,720 --> 00:04:47,960 Speaker 1: a regional mitigation plan, what does that mean? You have 88 00:04:48,040 --> 00:04:51,440 Speaker 1: the intelligence community background, you come from the intel world 89 00:04:52,000 --> 00:04:54,640 Speaker 1: overseas as well as drastically, So what when you say 90 00:04:54,680 --> 00:04:59,160 Speaker 1: a regional mitigation plan, what does that mean? For instance, Um, 91 00:04:59,200 --> 00:05:00,920 Speaker 1: I was at a restaurant on up here. Let's start 92 00:05:00,920 --> 00:05:03,040 Speaker 1: from the ground up. I was I love talking about this, 93 00:05:03,120 --> 00:05:05,400 Speaker 1: so Kevin. So I was up here at a restaurant 94 00:05:05,440 --> 00:05:07,640 Speaker 1: that's about that can serve six hundred and fifty people 95 00:05:07,680 --> 00:05:09,559 Speaker 1: at a time. So you can think about the size 96 00:05:09,560 --> 00:05:13,920 Speaker 1: of that outside. Inside it's huge, it's absolutely massive. There's 97 00:05:13,920 --> 00:05:16,760 Speaker 1: another little restaurant here, it's a tiny little Mexican restaurant 98 00:05:17,000 --> 00:05:19,280 Speaker 1: that can only hold about twenty people, right, Kevin, about 99 00:05:19,279 --> 00:05:22,679 Speaker 1: twenty people the ten person limit when it was actually 100 00:05:22,720 --> 00:05:25,840 Speaker 1: being instituted for being in a restaurant and things like that. Beforehand, 101 00:05:26,320 --> 00:05:30,080 Speaker 1: this little restaurant was doing okay. But the six restaurant 102 00:05:30,120 --> 00:05:32,200 Speaker 1: had to break down. And my first call to the 103 00:05:32,240 --> 00:05:34,520 Speaker 1: governor when we were in. Our first call was can 104 00:05:34,560 --> 00:05:37,080 Speaker 1: we make this a square footage mitigation where they can 105 00:05:37,080 --> 00:05:39,480 Speaker 1: actually have one area that has tend people. One area 106 00:05:39,560 --> 00:05:42,720 Speaker 1: tend people, one area tend people outside so they don't 107 00:05:42,720 --> 00:05:45,920 Speaker 1: go out of business immediately. Now that specific company called me. 108 00:05:46,120 --> 00:05:49,080 Speaker 1: They've laid off of their employees. The big company. The 109 00:05:49,120 --> 00:05:52,200 Speaker 1: small company I talked to yesterday, they're doing okay on curbside. 110 00:05:52,600 --> 00:05:55,200 Speaker 1: At some point we gotta have us say, okay, this 111 00:05:55,279 --> 00:05:58,280 Speaker 1: one size fits all for every single thing might not 112 00:05:58,320 --> 00:06:01,320 Speaker 1: be working for businesses off the country. So who would 113 00:06:01,400 --> 00:06:05,400 Speaker 1: run the regional mitigation plan? Is that the military? I 114 00:06:05,440 --> 00:06:07,280 Speaker 1: don't know. I don't think it's a military. I think 115 00:06:07,320 --> 00:06:09,120 Speaker 1: that's a that that might be a little bit of 116 00:06:09,520 --> 00:06:12,520 Speaker 1: disturbing to something. However, I will say this, I was 117 00:06:12,560 --> 00:06:14,760 Speaker 1: a mission planner in the military, and I think you 118 00:06:14,800 --> 00:06:18,200 Speaker 1: need to have specific agency, whether it's FEMA, whether it's 119 00:06:18,200 --> 00:06:20,520 Speaker 1: somebody like that that's running this mitigation plan in that area, 120 00:06:20,560 --> 00:06:22,919 Speaker 1: saying hey, hold on a minute, here's what we got. 121 00:06:22,960 --> 00:06:26,360 Speaker 1: This county doesn't have any you know, absolutely no cases 122 00:06:26,400 --> 00:06:28,720 Speaker 1: a coronavirus. There is none in this in this whole 123 00:06:28,760 --> 00:06:31,800 Speaker 1: regional area. Let's start freedom of movement. Let's let people 124 00:06:31,800 --> 00:06:33,880 Speaker 1: do what they need to do to get their businesses started. 125 00:06:34,160 --> 00:06:36,599 Speaker 1: And maybe there's some mitigation we can do with, you know, 126 00:06:36,680 --> 00:06:38,839 Speaker 1: thermometers at the front like South Korea did. I was 127 00:06:38,839 --> 00:06:41,440 Speaker 1: looking at all these certain things that businesses were doing, 128 00:06:41,640 --> 00:06:43,400 Speaker 1: but if we could give them guidelines, So you need 129 00:06:43,440 --> 00:06:45,720 Speaker 1: to do all this, but people can come in, make 130 00:06:45,760 --> 00:06:48,839 Speaker 1: sure you keep social distancing. We'll do square footage mitigation. 131 00:06:49,080 --> 00:06:51,440 Speaker 1: Let's get business started. I think that's something that people 132 00:06:51,440 --> 00:06:53,360 Speaker 1: are gonna have to look at in the next month 133 00:06:53,440 --> 00:06:56,600 Speaker 1: or so. When sentimentardy leader Chuck Schumer says that he 134 00:06:56,680 --> 00:06:59,960 Speaker 1: wants to have the military appointed, someone in the military 135 00:07:00,000 --> 00:07:02,200 Speaker 1: pointed to oversee all of this. Is that is that 136 00:07:02,240 --> 00:07:03,960 Speaker 1: a part is an issue or is that something that 137 00:07:04,000 --> 00:07:05,919 Speaker 1: you can get on board with. Congressmen, Where are you 138 00:07:05,960 --> 00:07:08,440 Speaker 1: on that. Yeah, that's not a Parson issue. I just 139 00:07:08,480 --> 00:07:10,640 Speaker 1: think that's the you know, if people are comfortable with that. 140 00:07:10,760 --> 00:07:13,160 Speaker 1: I think, um, you know, sing people military people in 141 00:07:13,200 --> 00:07:15,040 Speaker 1: the streets in the United States would be a shock. 142 00:07:15,440 --> 00:07:17,160 Speaker 1: Obviously I was. I don't think it is can I 143 00:07:17,360 --> 00:07:20,360 Speaker 1: can I can I jump in here. Wheneveryone was saying, oh, 144 00:07:20,400 --> 00:07:22,600 Speaker 1: they're sending in the National Guard, I said, They're not 145 00:07:22,760 --> 00:07:25,120 Speaker 1: sending in the National Guard against us. They're sending in 146 00:07:25,160 --> 00:07:27,560 Speaker 1: the National Guard to help us. This is why we 147 00:07:27,640 --> 00:07:31,040 Speaker 1: have the National Guard. And maybe I just never understood 148 00:07:31,080 --> 00:07:34,080 Speaker 1: the fear of it. I mean, they're on our side, 149 00:07:34,600 --> 00:07:38,320 Speaker 1: they're serving us. We should be saying we should be 150 00:07:38,400 --> 00:07:42,840 Speaker 1: saying thank you. We should be saying thank you, thank you. 151 00:07:43,120 --> 00:07:45,480 Speaker 1: With me wearing the uniform, I don't have that same 152 00:07:45,560 --> 00:07:48,240 Speaker 1: kind of sensitivity, I guess because I know that how 153 00:07:48,280 --> 00:07:49,920 Speaker 1: I am as a human being, right is that when 154 00:07:49,960 --> 00:07:51,960 Speaker 1: I was an Air Force captain, I would love to 155 00:07:51,960 --> 00:07:54,240 Speaker 1: be helping doing the mission planning. So I don't think 156 00:07:54,240 --> 00:07:56,480 Speaker 1: that's a partisan issue at all. I just think it's 157 00:07:56,560 --> 00:07:59,160 Speaker 1: you know, the sensitivities of certain people with the military 158 00:07:59,160 --> 00:08:02,520 Speaker 1: in those areas. Yeah, I don't have some of those sensitivities. 159 00:08:02,560 --> 00:08:05,520 Speaker 1: I think it'd be fantastic that military mission planners helping 160 00:08:05,520 --> 00:08:07,800 Speaker 1: with the mitigation. I was very good at that, and 161 00:08:07,840 --> 00:08:10,120 Speaker 1: I heck as a congressman, I'd love to step in 162 00:08:10,160 --> 00:08:11,960 Speaker 1: and do that. All right, So coming up, we're gonna 163 00:08:11,960 --> 00:08:13,800 Speaker 1: talk more about this, Congressman, can you hang out for 164 00:08:14,000 --> 00:08:18,040 Speaker 1: another ten minutes? All right? Cool? Congressman Denver Riggleman, Republican 165 00:08:18,040 --> 00:08:20,640 Speaker 1: from Virginia, And we're gonna check in with Susan Lunch. 166 00:08:20,680 --> 00:08:23,680 Speaker 1: She's a partner at McKenzie about the future of workforce development. 167 00:08:23,880 --> 00:08:26,240 Speaker 1: You don't want to miss that. Mackenzie just put out 168 00:08:26,360 --> 00:08:29,480 Speaker 1: a new study on workforce development. I'm Kevin Cirelli, Chief 169 00:08:29,520 --> 00:08:32,920 Speaker 1: Washington correspondent for Bloomberg Television. I'm Bloomberg Radio, and you're 170 00:08:32,960 --> 00:08:49,160 Speaker 1: listening to Bloomberg. Yeah, you're listening to Bloomberg. Sound On 171 00:08:49,240 --> 00:08:53,240 Speaker 1: with Kevin Surreley on Bloomberg and one oh five point 172 00:08:53,320 --> 00:08:55,720 Speaker 1: seven f M h D two. Did you hear about this? 173 00:08:56,440 --> 00:08:58,960 Speaker 1: Did you hear about this? Are you listening? Former Vice 174 00:08:58,960 --> 00:09:03,880 Speaker 1: President Joe Biden called President Donald Trump today this afternoon 175 00:09:04,440 --> 00:09:08,360 Speaker 1: to see how they can collaborate on combating the coronavirus. 176 00:09:08,360 --> 00:09:09,920 Speaker 1: No word yet on a read out. We'll bring it 177 00:09:09,960 --> 00:09:11,679 Speaker 1: to you as we get it. My name is Kevin Cirellian, 178 00:09:11,720 --> 00:09:14,880 Speaker 1: the chief Washington correspondent for Bloomberg Television of Bloomberg Radio, 179 00:09:14,920 --> 00:09:18,520 Speaker 1: speaking of President Trump in this hour. The daily Coronavirus 180 00:09:18,600 --> 00:09:22,320 Speaker 1: Task Force meeting schedule to begin at five thirty pm 181 00:09:22,360 --> 00:09:25,320 Speaker 1: Eastern Time. You can listen to that in its entirety 182 00:09:25,720 --> 00:09:29,240 Speaker 1: right here. So with us on the line, Congressman Denver Riggelman, 183 00:09:29,520 --> 00:09:32,680 Speaker 1: a Republican from Virginia, we were talking about the need 184 00:09:32,760 --> 00:09:37,400 Speaker 1: for how to open pockets of the economy and a 185 00:09:37,559 --> 00:09:40,040 Speaker 1: timetable for that. I just want to ask you one 186 00:09:40,040 --> 00:09:43,960 Speaker 1: more question on this before pivoting elsewhere. In terms of 187 00:09:43,960 --> 00:09:47,480 Speaker 1: a timetable, do you think it's realistic that by early 188 00:09:47,640 --> 00:09:51,840 Speaker 1: May we could have some businesses somewhere in the country 189 00:09:51,960 --> 00:09:57,160 Speaker 1: opening I think that was the objective, and um, I 190 00:09:57,200 --> 00:09:59,800 Speaker 1: think that that would be fantastic in areas that we 191 00:10:00,240 --> 00:10:03,640 Speaker 1: or you know, coronavirus free. But my goal, and I'm 192 00:10:03,640 --> 00:10:06,160 Speaker 1: trying to be moderate here, but my goal was Independence Day. 193 00:10:06,280 --> 00:10:08,960 Speaker 1: I'm hoping by July fourth we can at least start 194 00:10:09,120 --> 00:10:11,400 Speaker 1: maybe opening up some of these areas so we can 195 00:10:11,440 --> 00:10:15,679 Speaker 1: have full business participation in the economy just breaks my heart, alright. 196 00:10:15,720 --> 00:10:18,000 Speaker 1: But moving on in terms of sp A loans, you 197 00:10:18,200 --> 00:10:20,160 Speaker 1: you were Congressman ringing when people don't know this was 198 00:10:20,200 --> 00:10:23,679 Speaker 1: the first congressman in the House of Representatives to have 199 00:10:24,040 --> 00:10:29,280 Speaker 1: a a teletown hall post COVID nineteen. He was like 200 00:10:29,360 --> 00:10:32,360 Speaker 1: streaming and talking to everybody and educating his constituents on 201 00:10:32,400 --> 00:10:35,480 Speaker 1: how to get access to loan. So, now tell the 202 00:10:35,559 --> 00:10:37,679 Speaker 1: d M D. If you are a small business owner, 203 00:10:37,720 --> 00:10:39,679 Speaker 1: if you qualified for a loan, how do you go 204 00:10:39,760 --> 00:10:42,920 Speaker 1: get that? Congressman, Well, the first thing you do, I 205 00:10:43,080 --> 00:10:46,120 Speaker 1: would hope you've already went on the SBA website, uh 206 00:10:46,160 --> 00:10:48,559 Speaker 1: and went and applied for your e I D L 207 00:10:48,720 --> 00:10:51,800 Speaker 1: your Economic Injury Disaster loan. That's the first thing you 208 00:10:51,840 --> 00:10:54,319 Speaker 1: should have done. That's us A ten thousand dollars. It's 209 00:10:54,440 --> 00:10:56,679 Speaker 1: very simple. You put it in. You're supposed to get 210 00:10:56,720 --> 00:11:00,240 Speaker 1: in seventy two hours after you're approved. My thing is, 211 00:11:00,240 --> 00:11:02,280 Speaker 1: I'm getting calls right now people who don't even know 212 00:11:02,280 --> 00:11:04,280 Speaker 1: if they're approved yet. So that's been a bit of 213 00:11:04,280 --> 00:11:05,920 Speaker 1: an issue in what I've been working on today. The 214 00:11:05,920 --> 00:11:08,520 Speaker 1: other thing is this is the p P P right 215 00:11:08,600 --> 00:11:11,600 Speaker 1: the paycheck protection plan. I would hope you're already talking 216 00:11:11,600 --> 00:11:14,480 Speaker 1: to your bank about the streamline application forms at the 217 00:11:14,520 --> 00:11:18,040 Speaker 1: bank with the rules that they provided UM on that. 218 00:11:18,200 --> 00:11:20,160 Speaker 1: I hope that you're already trying to get a loan 219 00:11:20,200 --> 00:11:22,679 Speaker 1: which is two and a half times your monthly payroll 220 00:11:23,080 --> 00:11:25,160 Speaker 1: right for any type of thing that you can imagine, 221 00:11:25,160 --> 00:11:27,920 Speaker 1: as far as it's legitimate in business, whether it's mortgage, 222 00:11:27,920 --> 00:11:30,440 Speaker 1: whether it's utilities, anything with your business. I hope you're 223 00:11:30,440 --> 00:11:32,840 Speaker 1: getting your p P P loan. Also hope you're looking 224 00:11:32,840 --> 00:11:36,160 Speaker 1: at your other avenues that you could do right now, 225 00:11:36,480 --> 00:11:39,240 Speaker 1: one of those being, um, the payroll tax credit. I 226 00:11:39,240 --> 00:11:41,440 Speaker 1: hope people are looking at that. UM, there's just and 227 00:11:41,440 --> 00:11:43,520 Speaker 1: I'm hoping you're looking at forbearance on those loans. So 228 00:11:43,559 --> 00:11:46,199 Speaker 1: even if it's conventional loans, I hope everybody has called 229 00:11:46,240 --> 00:11:48,120 Speaker 1: their bank, can act about and asked about an any 230 00:11:48,200 --> 00:11:51,040 Speaker 1: day forbearance on business loans. You should be doing that 231 00:11:51,160 --> 00:11:53,160 Speaker 1: right now. So there's a lot of things you could 232 00:11:53,160 --> 00:11:56,199 Speaker 1: be doing. Law protects you and all of this, and 233 00:11:56,440 --> 00:11:59,160 Speaker 1: we're trying to streamline really the P p P portion 234 00:11:59,240 --> 00:12:01,560 Speaker 1: of this, which is the ink portion, which has been 235 00:12:01,559 --> 00:12:04,199 Speaker 1: a little bit troubling and a little bit difficult, but 236 00:12:04,480 --> 00:12:07,680 Speaker 1: from working through that today, so I hope everybody is 237 00:12:07,880 --> 00:12:09,560 Speaker 1: following those steps right now. All right, So I know 238 00:12:09,679 --> 00:12:11,679 Speaker 1: that we're in the middle of this, So I just 239 00:12:11,720 --> 00:12:14,320 Speaker 1: have two more questions for you, Congressman Denver Riggleman, so 240 00:12:14,360 --> 00:12:18,160 Speaker 1: generous with this time with us this afternoon, uh In, 241 00:12:19,400 --> 00:12:22,079 Speaker 1: as we deal with the economic elements of this. One 242 00:12:22,080 --> 00:12:25,080 Speaker 1: of the conversations that we've been having daily on this 243 00:12:25,160 --> 00:12:30,640 Speaker 1: program has been the frustration with Shijing Ping. And I 244 00:12:30,679 --> 00:12:32,319 Speaker 1: know that you come from the intel world, you're a 245 00:12:32,360 --> 00:12:35,720 Speaker 1: member of the House Financial Services Committee as well. What 246 00:12:36,720 --> 00:12:41,280 Speaker 1: how how should the world respond to the coronavirus getting 247 00:12:41,280 --> 00:12:45,880 Speaker 1: out of Wuhan. I think with a bit of anger, 248 00:12:46,200 --> 00:12:48,280 Speaker 1: you know, and and I'm understand that you should be, 249 00:12:48,800 --> 00:12:51,280 Speaker 1: you should be furious and the issue that we have. 250 00:12:51,400 --> 00:12:53,680 Speaker 1: You know, we sent a letter in um I did 251 00:12:53,760 --> 00:12:58,360 Speaker 1: before UM many did, talking about China's culpability in this, 252 00:12:58,880 --> 00:13:00,640 Speaker 1: and I think there has to of the time where 253 00:13:00,640 --> 00:13:04,800 Speaker 1: we look at what China is responsible for economically, the 254 00:13:04,880 --> 00:13:09,400 Speaker 1: lives that have been taken. And I'm just really um listen, 255 00:13:09,640 --> 00:13:13,040 Speaker 1: you know my military background, I certainly have some expertise 256 00:13:13,360 --> 00:13:16,079 Speaker 1: about China. I think we're gonna have to be incredibly 257 00:13:16,080 --> 00:13:19,280 Speaker 1: tough on China. I think we need to incentivize manufacturing 258 00:13:19,679 --> 00:13:21,680 Speaker 1: things here in the United States that China has been doing, 259 00:13:22,000 --> 00:13:23,880 Speaker 1: and I think there needs to be some sort of punishment. 260 00:13:23,880 --> 00:13:26,600 Speaker 1: And I'm not afraid to say it. It's ridiculous that 261 00:13:26,679 --> 00:13:29,559 Speaker 1: they held back data. It's unbelievable that we have to 262 00:13:29,800 --> 00:13:31,360 Speaker 1: we have to deal with this when we couldn't get 263 00:13:31,360 --> 00:13:33,960 Speaker 1: the truth out of China. We know their numbers aren't correct, 264 00:13:34,320 --> 00:13:36,800 Speaker 1: we know it was absolutely horrible over there, and I 265 00:13:36,800 --> 00:13:39,199 Speaker 1: think at some point, um, we're gonna have to look 266 00:13:39,240 --> 00:13:41,959 Speaker 1: at this in a way that's very serious, not just letters, 267 00:13:42,000 --> 00:13:46,120 Speaker 1: the legislation that's directed at China, um for their responsibility 268 00:13:46,160 --> 00:13:49,240 Speaker 1: in these actions. You know, I'll keep us posted as 269 00:13:49,280 --> 00:13:51,760 Speaker 1: that as that comes up. And then just the final question. 270 00:13:51,800 --> 00:13:55,120 Speaker 1: One of the things your your family, as you've separated 271 00:13:55,160 --> 00:13:58,760 Speaker 1: yourself from from it. But silver Back Distillery, which is 272 00:13:58,760 --> 00:14:04,720 Speaker 1: your family's whiskey operation, they've been doing like many distilleries nationwide. Uh, 273 00:14:04,960 --> 00:14:07,800 Speaker 1: they've been you've been doing. You've converted your whiskey making 274 00:14:08,040 --> 00:14:11,280 Speaker 1: into a hand sanitizer operation. Tell me just so quickly 275 00:14:11,320 --> 00:14:14,760 Speaker 1: about that, Kevin, I gotta tell you my my wife 276 00:14:14,760 --> 00:14:17,040 Speaker 1: and daughters are staff. We have about twenty by the way, 277 00:14:17,040 --> 00:14:20,120 Speaker 1: we've been able to keep all our full time employees. UM. 278 00:14:20,160 --> 00:14:22,680 Speaker 1: It's been incredible challenge, but we've been able to do it. 279 00:14:22,720 --> 00:14:26,280 Speaker 1: But we're providing hand sanitizer at eight percent a b V. 280 00:14:26,440 --> 00:14:31,000 Speaker 1: I mean, it's the real deal, UM hand sanitizer to hospitals, 281 00:14:31,520 --> 00:14:36,720 Speaker 1: UM testing labs, UM emergency medical services, law enforcement, and 282 00:14:36,720 --> 00:14:38,400 Speaker 1: we're giving it away for free. And I get a 283 00:14:38,400 --> 00:14:40,480 Speaker 1: little bit emotional about it because my wife it was 284 00:14:40,520 --> 00:14:43,640 Speaker 1: her idea. She's an incredible human being. But our whole 285 00:14:43,680 --> 00:14:46,360 Speaker 1: staff has come together to do this, and and I 286 00:14:46,400 --> 00:14:48,120 Speaker 1: tell you, the way that the community has cod come 287 00:14:48,160 --> 00:14:51,560 Speaker 1: together Kevin has been incredible. It's the American spirit. It's 288 00:14:51,680 --> 00:14:54,440 Speaker 1: it's just uh, it should warn people's hearts. And so 289 00:14:54,520 --> 00:14:56,760 Speaker 1: many people are out there helping and I want to 290 00:14:56,800 --> 00:15:00,360 Speaker 1: really just give my you know, full thanks to everybody 291 00:15:00,360 --> 00:15:02,680 Speaker 1: that's doing these type of gestures and this type of 292 00:15:02,760 --> 00:15:05,160 Speaker 1: charity to those who needed and and helping those on 293 00:15:05,200 --> 00:15:08,040 Speaker 1: the front lines right now. And really are are people 294 00:15:08,040 --> 00:15:11,160 Speaker 1: out there. The medical professionals deserve combat pay, and I'm 295 00:15:11,160 --> 00:15:14,200 Speaker 1: really for that too. It's just unbelievable. The hazards that 296 00:15:14,200 --> 00:15:16,480 Speaker 1: they're putting themselves in their famili's room. But yeah, our 297 00:15:16,520 --> 00:15:19,960 Speaker 1: distilleries doing that. We're getting wine from places like um 298 00:15:20,040 --> 00:15:22,400 Speaker 1: oh gosh, I think I just had one winery just 299 00:15:22,440 --> 00:15:26,360 Speaker 1: deliver seventeen toads. Even Trump Wineries offered to give us 300 00:15:26,400 --> 00:15:30,480 Speaker 1: wine to distill. Right, So it's been pretty incredible experience. Bros. Alright. 301 00:15:30,520 --> 00:15:34,160 Speaker 1: Congressman Denver Riggleman, I love the note of optimism. I 302 00:15:34,240 --> 00:15:38,000 Speaker 1: love the optimism and the hope because people, you know, 303 00:15:38,120 --> 00:15:41,520 Speaker 1: that microcosm of the story. People are noticing that in 304 00:15:41,520 --> 00:15:43,560 Speaker 1: the d m V all over the country there are 305 00:15:43,600 --> 00:15:47,280 Speaker 1: signs of hope and optimism coming from main Street, coming 306 00:15:47,360 --> 00:15:50,480 Speaker 1: from Main Street, coming from Main Street. Congressman Denver Riggleman, 307 00:15:50,680 --> 00:15:53,560 Speaker 1: a Republican from Virginia, thank you very much for joining us. 308 00:15:53,600 --> 00:15:55,600 Speaker 1: We're gonna switch gears now. Just to reset, my name 309 00:15:55,600 --> 00:15:58,440 Speaker 1: is Kevin SURREALI. I'm the chief Washington correspondent for Bloomberg 310 00:15:58,440 --> 00:16:00,920 Speaker 1: Television of Bloomberg Radio, and just coming up in the 311 00:16:00,960 --> 00:16:03,800 Speaker 1: next half hour, you can listen to President Donald Trump 312 00:16:03,800 --> 00:16:08,480 Speaker 1: and Vice President Mike Pence's daily Corona Virus Task Force 313 00:16:09,040 --> 00:16:15,200 Speaker 1: briefing right here on this uh on this uh on 314 00:16:15,280 --> 00:16:19,760 Speaker 1: this station, and so many people myself included, our team 315 00:16:19,840 --> 00:16:23,000 Speaker 1: included at Bloomberg Washington Bureau in New York, obviously all 316 00:16:23,040 --> 00:16:26,120 Speaker 1: around the world Europe, but also everyone in this town 317 00:16:26,160 --> 00:16:30,480 Speaker 1: having to work from home, having to having to really 318 00:16:31,360 --> 00:16:35,400 Speaker 1: uh change the way that they work. And McKenzie has 319 00:16:35,440 --> 00:16:38,480 Speaker 1: a new report out that identifies the people and places 320 00:16:38,520 --> 00:16:42,320 Speaker 1: that are most vulnerable to the first wave effects of 321 00:16:42,360 --> 00:16:45,680 Speaker 1: the virus. And they're wide sweeping and and this is 322 00:16:45,720 --> 00:16:47,320 Speaker 1: one of the things that I and we talked about 323 00:16:47,320 --> 00:16:50,359 Speaker 1: it a little bit last week about how, yes, restaurants 324 00:16:50,360 --> 00:16:53,160 Speaker 1: were pummeled by this, but there's so many other sectors 325 00:16:53,160 --> 00:16:56,640 Speaker 1: that have equally been as pummeled by this and and 326 00:16:56,640 --> 00:17:00,880 Speaker 1: and and hit by this economically. So I'm so incredibly grateful, 327 00:17:00,920 --> 00:17:03,560 Speaker 1: truthfully grateful to have such an all star joined us 328 00:17:03,600 --> 00:17:05,920 Speaker 1: for the first time on the program Bloomberg Radio Sound 329 00:17:05,960 --> 00:17:09,119 Speaker 1: On Susan Lundon. She is a partner at McKinsey and 330 00:17:09,160 --> 00:17:13,080 Speaker 1: Company and a leader at the mackenzie Global Institute in Washington, 331 00:17:13,200 --> 00:17:15,000 Speaker 1: d C. Susan, thank you so much for your time 332 00:17:15,200 --> 00:17:19,359 Speaker 1: tell us about your report. Thank you for having me. 333 00:17:19,560 --> 00:17:22,879 Speaker 1: So we've looked at which Americans are going to be 334 00:17:22,960 --> 00:17:28,040 Speaker 1: vulnerable during this lockdown phase of fighting COVID nineteen. And 335 00:17:28,280 --> 00:17:31,159 Speaker 1: we're not trying to project the unemployment rate, but we 336 00:17:31,280 --> 00:17:34,480 Speaker 1: looked at jobs where people are working in close proximity 337 00:17:34,520 --> 00:17:38,240 Speaker 1: to customers or coworkers. We looked at non essential jobs. 338 00:17:38,520 --> 00:17:41,879 Speaker 1: We also consider the impact on things like the airlines 339 00:17:41,960 --> 00:17:46,040 Speaker 1: and hotel when we see such a dramatic drop and travel. 340 00:17:46,440 --> 00:17:49,560 Speaker 1: And what we found is that anywhere from forty four 341 00:17:49,640 --> 00:17:53,920 Speaker 1: million to fifty seven million US jobs are at risk. 342 00:17:54,000 --> 00:17:56,960 Speaker 1: And this means people who they might be kept on 343 00:17:57,000 --> 00:17:59,520 Speaker 1: the payroll, like you've just heard from the congressman at 344 00:17:59,560 --> 00:18:02,040 Speaker 1: his dis larie, but these are people who might be 345 00:18:02,160 --> 00:18:05,120 Speaker 1: laid off. They might be laid off with pay without pay, 346 00:18:05,200 --> 00:18:08,000 Speaker 1: they might have reduced hours, or they might be laid off. 347 00:18:08,000 --> 00:18:11,720 Speaker 1: In the long term. At the high end, up to 348 00:18:11,840 --> 00:18:14,840 Speaker 1: a third of the US workforce is being affected by 349 00:18:14,880 --> 00:18:17,240 Speaker 1: this downturn. Well, I'm so glad you you pointed that 350 00:18:17,280 --> 00:18:20,080 Speaker 1: set out, because I was gonna that was the stat 351 00:18:20,119 --> 00:18:22,000 Speaker 1: I was gonna say, is that up to one third 352 00:18:22,680 --> 00:18:25,920 Speaker 1: of US jobs might be vulnerable in this according to 353 00:18:26,000 --> 00:18:29,720 Speaker 1: Mackenzie's new report. But this is the part that it's 354 00:18:29,760 --> 00:18:33,760 Speaker 1: really hard. I think for many of us, and I'm 355 00:18:33,760 --> 00:18:36,879 Speaker 1: going to count myself included when I hear some of 356 00:18:37,000 --> 00:18:39,640 Speaker 1: celebrities say, oh, we're all in this together, because look 357 00:18:39,640 --> 00:18:43,800 Speaker 1: at this, folks. More than eighty percent of the one 358 00:18:43,880 --> 00:18:46,560 Speaker 1: third of US jobs that are vulnerable, more than eight 359 00:18:47,200 --> 00:18:50,200 Speaker 1: of those vulnerable jobs are held by low income workers, 360 00:18:50,440 --> 00:18:56,320 Speaker 1: which means that once again the uh, once again, it's 361 00:18:56,359 --> 00:19:01,240 Speaker 1: it's it's low income earners who are being negatively impacted. 362 00:19:01,320 --> 00:19:05,320 Speaker 1: More is that? Is that? Unfortunately? The truth susan. It 363 00:19:05,400 --> 00:19:07,480 Speaker 1: is so when you look at the job that are 364 00:19:07,760 --> 00:19:11,600 Speaker 1: most vulnerable, it tends to be in food service, restaurant work, 365 00:19:11,760 --> 00:19:15,879 Speaker 1: retail work, all the small retail shops that are now closed. 366 00:19:16,000 --> 00:19:19,720 Speaker 1: It's gym's, personal trainers, yoga, you name it, it's all 367 00:19:19,760 --> 00:19:22,920 Speaker 1: of the places we go for entertainment. And sadly, those 368 00:19:22,960 --> 00:19:26,679 Speaker 1: tend to be jobs that pay below the median um 369 00:19:26,680 --> 00:19:30,040 Speaker 1: earnings for US jobs. And so it's the people who 370 00:19:30,320 --> 00:19:34,520 Speaker 1: already maybe living paycheck to paycheck, who don't necessarily have 371 00:19:35,080 --> 00:19:37,879 Speaker 1: a nest egg and who can't work remotely during the 372 00:19:38,000 --> 00:19:42,880 Speaker 1: shutdown that are most exposed um to losing their job. 373 00:19:44,080 --> 00:19:46,800 Speaker 1: So as you look forward, and we were talking about 374 00:19:47,040 --> 00:19:48,480 Speaker 1: how do how do we get out of this? And 375 00:19:48,480 --> 00:19:51,520 Speaker 1: the optimism was on Wall Street today, the optimism, the 376 00:19:51,560 --> 00:19:54,160 Speaker 1: hope coming out of the numbers in Europe that they 377 00:19:54,320 --> 00:19:57,480 Speaker 1: mightn't be nearing the peak and flattening the curve, that 378 00:19:57,520 --> 00:20:00,000 Speaker 1: New York City might be nearing the peak and beginning 379 00:20:00,040 --> 00:20:03,640 Speaker 1: to flatten the curve. If folks continue to remain socially distant. 380 00:20:04,000 --> 00:20:07,480 Speaker 1: Is there any aspect of this that has you hopeful 381 00:20:07,800 --> 00:20:10,600 Speaker 1: or any glimmers or what can we glean on this? 382 00:20:10,720 --> 00:20:14,560 Speaker 1: Because eventually we are going to reopen. We are going 383 00:20:14,600 --> 00:20:17,520 Speaker 1: to reopen, and it's a great question as to how 384 00:20:17,560 --> 00:20:20,440 Speaker 1: to go about it that I think what's clear when 385 00:20:20,440 --> 00:20:22,719 Speaker 1: you look at Europe and you look at China is 386 00:20:22,760 --> 00:20:26,840 Speaker 1: that the reopening maybe gratul So it will depend in 387 00:20:27,000 --> 00:20:29,879 Speaker 1: part on consumer behavior, like how long is it going 388 00:20:29,920 --> 00:20:32,919 Speaker 1: to be before we want to go to see a 389 00:20:32,960 --> 00:20:36,000 Speaker 1: big concert or a big sporting events, or even go 390 00:20:36,200 --> 00:20:40,480 Speaker 1: to a restaurant that's somewhat crowded. So that's Susan. I 391 00:20:40,520 --> 00:20:43,520 Speaker 1: hate to interrupt you, but let me say something. I 392 00:20:43,560 --> 00:20:47,879 Speaker 1: cannot wait to see the Philadelphia Eagles play this fall. 393 00:20:48,200 --> 00:20:50,199 Speaker 1: I want to go to a DC United game. I 394 00:20:50,240 --> 00:20:52,040 Speaker 1: want to go to a Philadelphia Eagles game. I want 395 00:20:52,040 --> 00:20:54,280 Speaker 1: to go to a movie theater. I want to I 396 00:20:54,359 --> 00:20:56,040 Speaker 1: want to do it all. I want to go back 397 00:20:56,040 --> 00:20:58,480 Speaker 1: to my gym. I miss it. So listen, you got 398 00:20:58,520 --> 00:21:01,919 Speaker 1: one person who's ready to go. Go ahead, all right, 399 00:21:02,080 --> 00:21:05,359 Speaker 1: Well you will be You'll be joined possibly by me. 400 00:21:05,680 --> 00:21:09,800 Speaker 1: But look, I think that employers can do things right. 401 00:21:09,920 --> 00:21:13,600 Speaker 1: So we may see hand sanitize our station all over 402 00:21:13,640 --> 00:21:16,399 Speaker 1: the place. Walking into a movie theater, you may sanitize 403 00:21:16,440 --> 00:21:20,600 Speaker 1: your hands. We may see more temperature checking um with 404 00:21:20,840 --> 00:21:23,639 Speaker 1: um the thermal guns that you see in China. So 405 00:21:23,680 --> 00:21:26,560 Speaker 1: there can there are things that employers can do and 406 00:21:26,640 --> 00:21:30,080 Speaker 1: businesses can do to help rebuild that public trust. After 407 00:21:30,240 --> 00:21:32,920 Speaker 1: nine eleven, a lot of Americans were afraid to fly, 408 00:21:33,040 --> 00:21:37,159 Speaker 1: and it took years for the level it was. But 409 00:21:37,200 --> 00:21:39,399 Speaker 1: one of the things we did was we created t 410 00:21:39,680 --> 00:21:42,080 Speaker 1: s A and we went through airport screening, and that 411 00:21:42,600 --> 00:21:45,960 Speaker 1: not only helped screen for terrorists, but it made everyone 412 00:21:46,040 --> 00:21:49,520 Speaker 1: flying feel better. It feels safer, And so we may 413 00:21:49,560 --> 00:21:51,639 Speaker 1: start to see shifts like that. I don't know what 414 00:21:51,680 --> 00:21:53,520 Speaker 1: they're gonna be, but that's what I'm going to be 415 00:21:53,560 --> 00:21:57,400 Speaker 1: watching in the weeks ahead. Susan Lund's on the phone 416 00:21:57,520 --> 00:22:00,000 Speaker 1: and I'll tweet out the mckensey report. If you haven't read, 417 00:22:00,080 --> 00:22:01,560 Speaker 1: you have to read it. I was, I was looking 418 00:22:01,600 --> 00:22:03,679 Speaker 1: at it last night. I mean, it's that's very, very 419 00:22:03,760 --> 00:22:06,920 Speaker 1: nuanced in terms of the economic impacts of what this 420 00:22:07,000 --> 00:22:09,560 Speaker 1: is going to be doing. Susan Lundon is a partner 421 00:22:09,600 --> 00:22:13,399 Speaker 1: at McKenzie and even this is but just before I 422 00:22:13,480 --> 00:22:15,400 Speaker 1: jumped to the final point that I wanted to raise 423 00:22:15,440 --> 00:22:18,879 Speaker 1: from the report, what you just said about airports in particular. 424 00:22:19,160 --> 00:22:21,040 Speaker 1: I was thinking about this on my one of my 425 00:22:21,080 --> 00:22:23,480 Speaker 1: many walks that I've taken in the past couple of days, 426 00:22:23,680 --> 00:22:27,320 Speaker 1: which is, you don't you wouldn't go to an airport 427 00:22:27,480 --> 00:22:31,760 Speaker 1: and allow a bad actor to smuggle a web something 428 00:22:32,160 --> 00:22:34,680 Speaker 1: harmful on the air plant. You wouldn't allow that to happen. 429 00:22:35,080 --> 00:22:39,240 Speaker 1: So why were we allowing people who could be bad 430 00:22:39,280 --> 00:22:42,200 Speaker 1: actors that are carrying you know what I'm trying to say. 431 00:22:42,200 --> 00:22:45,960 Speaker 1: I mean, we should be doing those averture checks. I 432 00:22:46,000 --> 00:22:48,359 Speaker 1: mean just when you go through through t s A 433 00:22:49,200 --> 00:22:51,880 Speaker 1: uh So, I definitely think that that for I think 434 00:22:52,080 --> 00:22:55,639 Speaker 1: the way that we travel will ultimately change, uh throughout 435 00:22:55,680 --> 00:22:58,159 Speaker 1: all of this, and there's been some reporting from the 436 00:22:58,200 --> 00:23:00,800 Speaker 1: technology sectors about different company that have popped up that 437 00:23:00,840 --> 00:23:05,160 Speaker 1: are going to be doing just that. But another aspect 438 00:23:05,240 --> 00:23:09,240 Speaker 1: of the McKinsey report that came out is tourism versus 439 00:23:09,359 --> 00:23:13,280 Speaker 1: agricultural and knowledge economy states. And I was wondering if 440 00:23:13,280 --> 00:23:17,320 Speaker 1: you would be able to explain that in the two 441 00:23:17,320 --> 00:23:19,920 Speaker 1: minutes that we have left susan lawn partner at Mackenzie 442 00:23:20,200 --> 00:23:24,480 Speaker 1: about how large tourism industries could be more negatively impacted, 443 00:23:25,000 --> 00:23:29,320 Speaker 1: uh than agricultural and knowledge economy states and explains us 444 00:23:29,440 --> 00:23:33,119 Speaker 1: what knowledge economy states means. Well, that would be the 445 00:23:33,200 --> 00:23:37,800 Speaker 1: high tech jobs, law, sales, biomedical research, so those jobs 446 00:23:37,840 --> 00:23:41,040 Speaker 1: can buy and large be done remotely or their frontline 447 00:23:41,080 --> 00:23:44,400 Speaker 1: healthcare provisions. But it's interesting when you look across the US, 448 00:23:44,560 --> 00:23:47,440 Speaker 1: the counties and the cities and the states are hardested 449 00:23:47,480 --> 00:23:51,600 Speaker 1: are those that rely on tourism. So Nevada has by 450 00:23:51,880 --> 00:23:55,120 Speaker 1: far and away larger risk at vulnerable jobs. And that's 451 00:23:55,119 --> 00:23:58,320 Speaker 1: because so much of its economy hinges on Las Vegas 452 00:23:58,359 --> 00:24:01,600 Speaker 1: and tourism and entertainment, as opposed to some of the 453 00:24:01,720 --> 00:24:04,840 Speaker 1: Western states that have a lot of agriculture, or at 454 00:24:04,840 --> 00:24:07,359 Speaker 1: Eastern states UM that have a lot of what we 455 00:24:07,440 --> 00:24:10,040 Speaker 1: call you know, the high paid, the banking law, accounting 456 00:24:10,080 --> 00:24:15,000 Speaker 1: the kind of downward economy jobs journalism exactly. Well, yeah, 457 00:24:15,080 --> 00:24:18,040 Speaker 1: and just just to to just put a period on 458 00:24:18,040 --> 00:24:20,840 Speaker 1: this conversation. The Mackenzie Report, and I'm going to read 459 00:24:20,880 --> 00:24:23,920 Speaker 1: this part from it because I highlighted it. The workers 460 00:24:24,000 --> 00:24:27,680 Speaker 1: bearing the brunts of the initial shock are the very 461 00:24:27,720 --> 00:24:32,320 Speaker 1: people least equipped to weather it. Up to eight six 462 00:24:32,359 --> 00:24:35,800 Speaker 1: percent of the initial impact affects jobs that we're paying 463 00:24:35,880 --> 00:24:39,119 Speaker 1: less than forty thousand per year. Almost all of the 464 00:24:39,160 --> 00:24:43,600 Speaker 1: affected jobs paid less than the national living wage of 465 00:24:43,720 --> 00:24:48,320 Speaker 1: sixty eight thousand for a family of four. Even before 466 00:24:48,359 --> 00:24:52,960 Speaker 1: the pandemic, of Americans reported that they could not cover 467 00:24:53,119 --> 00:24:58,879 Speaker 1: an unexpected four hundred dollar expense without borrowing or selling assets. 468 00:24:59,280 --> 00:25:02,560 Speaker 1: I mean, when you hear that, it breaks your heart, 469 00:25:02,960 --> 00:25:08,320 Speaker 1: because this notion that this pandemic is affecting everyone equally 470 00:25:09,200 --> 00:25:14,080 Speaker 1: from an economic standpoint is not true. The data doesn't 471 00:25:14,160 --> 00:25:17,240 Speaker 1: reflect it. Susan Lund, a partner at Mackenzie, thank you 472 00:25:17,400 --> 00:25:20,320 Speaker 1: so much for joining us all your first time on bloombergradiote. 473 00:25:20,400 --> 00:25:24,000 Speaker 1: Would you come back on, Susan? Absolutely, all right, Well, 474 00:25:24,000 --> 00:25:25,920 Speaker 1: I appreciate it. Stay well, my friend, and thank you 475 00:25:26,040 --> 00:25:28,600 Speaker 1: very much, Susan Lund, partner at Mackenzie. Now let's rest 476 00:25:28,680 --> 00:25:30,040 Speaker 1: and get a check out the headlines from my good 477 00:25:30,040 --> 00:25:35,000 Speaker 1: friend Nancy lions Nets. Thanks so much, Kevin. Here are 478 00:25:35,040 --> 00:25:37,359 Speaker 1: the day's top stories in and around the district and 479 00:25:37,400 --> 00:25:40,119 Speaker 1: across the globe. More than a eight thousand people in 480 00:25:40,119 --> 00:25:42,239 Speaker 1: the d C area. More than a thousand of them 481 00:25:42,240 --> 00:25:45,160 Speaker 1: in the district have been confirmed to have the coronavirus, 482 00:25:45,240 --> 00:25:48,040 Speaker 1: and this is putting a strain on district resources. We 483 00:25:48,160 --> 00:25:51,200 Speaker 1: learn more from Bloomberg's Amy Morris. DC may Or Muriel 484 00:25:51,240 --> 00:25:54,080 Speaker 1: Bowser says they have to cut six D seven million 485 00:25:54,160 --> 00:25:57,520 Speaker 1: dollars from the budget. Today, I signed a mayor's order 486 00:25:57,920 --> 00:26:02,840 Speaker 1: that freezes hiring salary re increases in travel new coronavirus 487 00:26:02,920 --> 00:26:07,120 Speaker 1: emergency relief. Before DC Council would freeze rent increases, make 488 00:26:07,160 --> 00:26:10,280 Speaker 1: it easier to release ad risk prisoners, and require DC 489 00:26:10,400 --> 00:26:13,600 Speaker 1: Board of Elections to mail applications for absentee ballots to 490 00:26:13,720 --> 00:26:17,359 Speaker 1: every registered voter. DC Council's taking up the COVID nineteen 491 00:26:17,400 --> 00:26:21,200 Speaker 1: Supplemental Act tomorrow, Amy Morris Bloomberg one and one oh 492 00:26:21,200 --> 00:26:23,760 Speaker 1: five point seven at m h D two. Virginia Governor 493 00:26:23,840 --> 00:26:27,000 Speaker 1: Ralph Northam is encouraging all Virginians to follow the latest 494 00:26:27,040 --> 00:26:30,640 Speaker 1: CDC guidelines to wear a mask. He even showed off 495 00:26:30,720 --> 00:26:35,560 Speaker 1: his own this afternoon. This particular mask was designed and 496 00:26:35,640 --> 00:26:41,240 Speaker 1: made by our Department of Corrections. UM it is comfortable. 497 00:26:41,359 --> 00:26:43,840 Speaker 1: Northam says, you can make your own handmade mask, just 498 00:26:43,960 --> 00:26:47,639 Speaker 1: make sure you clean it daily. Acting Navy Secretary Thomas 499 00:26:47,640 --> 00:26:50,560 Speaker 1: Maudley says the captain of the COVID Stricken aircraft carrier 500 00:26:50,600 --> 00:26:54,040 Speaker 1: who was fired last week had betrayed his service and 501 00:26:54,080 --> 00:26:56,280 Speaker 1: may have been too naive or too stupid to be 502 00:26:56,320 --> 00:26:59,920 Speaker 1: the commanding officer of the ship. Officials are confirming Modley 503 00:27:00,040 --> 00:27:04,240 Speaker 1: made the comments yesterday to the ship's crew in Guam. 504 00:27:04,280 --> 00:27:07,119 Speaker 1: On Wall Street, investors are encouraged that the toll from 505 00:27:07,119 --> 00:27:10,560 Speaker 1: the coronavirus maybe easing in New York, the main hotspot 506 00:27:10,680 --> 00:27:16,040 Speaker 1: right now. The Dow ended up almost eighteen The doll 507 00:27:16,280 --> 00:27:20,280 Speaker 1: ended up almost eight percent at six hundred twenty seven 508 00:27:20,280 --> 00:27:23,600 Speaker 1: points at twenty two thousand, six eighty, and Nasdaq was 509 00:27:23,680 --> 00:27:26,639 Speaker 1: up five hundred forty points to the s and P 510 00:27:26,800 --> 00:27:30,000 Speaker 1: added one hundred and seventy five. Bloomberg Sound on with 511 00:27:30,080 --> 00:27:33,960 Speaker 1: Kevin Sirelli continues, I'm Nancy lions. This is Bloomberg and 512 00:27:34,000 --> 00:27:36,240 Speaker 1: one oh five point seven f m h D two 513 00:27:38,480 --> 00:27:44,280 Speaker 1: This is Bloomberg. Sound on with Kevin on Bloomberg and 514 00:27:44,320 --> 00:27:47,600 Speaker 1: one oh five point two. Now, when I was a 515 00:27:47,680 --> 00:27:49,760 Speaker 1: kid drawing up in Dulker, my dad at the dinner table, 516 00:27:49,800 --> 00:27:52,600 Speaker 1: he would always have one stat that he heard. I 517 00:27:52,600 --> 00:27:54,120 Speaker 1: don't even know where he heard it, but he would 518 00:27:54,119 --> 00:27:56,240 Speaker 1: always tell us one stat at the dinner table. And 519 00:27:56,280 --> 00:27:58,240 Speaker 1: you know what this is the stat my dad would say. 520 00:27:58,600 --> 00:28:00,960 Speaker 1: If I was back at the Dulk dinner table when 521 00:28:00,960 --> 00:28:03,800 Speaker 1: I was a kid. Up to one third of us 522 00:28:03,920 --> 00:28:07,880 Speaker 1: jobs may be vulnerable as a result of this pandemic shutdown. 523 00:28:08,280 --> 00:28:11,760 Speaker 1: And more than eight percent of those one third jobs 524 00:28:11,800 --> 00:28:14,600 Speaker 1: are held by low income workers. That's according to a 525 00:28:14,640 --> 00:28:17,200 Speaker 1: new McKenzie report that just came out in the last 526 00:28:17,320 --> 00:28:20,520 Speaker 1: two days. And you know, I think we have to 527 00:28:20,560 --> 00:28:24,840 Speaker 1: remember that because this nonsense argument that I hear that 528 00:28:24,920 --> 00:28:27,399 Speaker 1: we're all affected by this the same is not true. 529 00:28:27,920 --> 00:28:32,080 Speaker 1: The low income workers are so much more from an 530 00:28:32,119 --> 00:28:36,199 Speaker 1: economic standpoint, are so much more negatively impacted by this 531 00:28:36,320 --> 00:28:43,240 Speaker 1: pandemic shutdown. And that has to factor in to how 532 00:28:43,600 --> 00:28:49,040 Speaker 1: lawmakers react and policymakers and long it has to joining 533 00:28:49,120 --> 00:28:51,120 Speaker 1: us on the line. Jack Fitzpatrick a good buddy of mind, 534 00:28:51,160 --> 00:28:53,840 Speaker 1: good budy of the program. He's my colleague of Bloomberg Government. 535 00:28:53,840 --> 00:28:58,120 Speaker 1: He covers all things policymakers and what they're doing to 536 00:28:58,200 --> 00:29:00,000 Speaker 1: address this. And Jack, let me just put the question 537 00:29:00,000 --> 00:29:04,120 Speaker 1: and to you. Are they taking into account the vulnerable 538 00:29:04,480 --> 00:29:10,560 Speaker 1: populations who are being whacked by this pandemic shutdown? Yeah? 539 00:29:10,600 --> 00:29:13,440 Speaker 1: You you make a good point, Uh, when you think 540 00:29:13,480 --> 00:29:16,120 Speaker 1: about the people who are losing jobs, people who work 541 00:29:16,240 --> 00:29:20,120 Speaker 1: in retail, restaurant workers. Obviously it goes through the supply 542 00:29:20,240 --> 00:29:21,720 Speaker 1: chains so that it's not just them, But that's a 543 00:29:21,760 --> 00:29:23,960 Speaker 1: lot of people who don't have a massive amount of 544 00:29:24,000 --> 00:29:26,920 Speaker 1: savings to fall back on. That's why, you know, when 545 00:29:27,120 --> 00:29:31,239 Speaker 1: Congress passed this last bill, a lot of attention went 546 00:29:31,280 --> 00:29:33,720 Speaker 1: to the checks a lot of people are going to get. 547 00:29:33,840 --> 00:29:37,000 Speaker 1: But I think probably the most substantial thing that is 548 00:29:37,360 --> 00:29:40,960 Speaker 1: going to affect the most people is the extra money 549 00:29:41,040 --> 00:29:44,720 Speaker 1: they put on top of unemployment insurance. That extra six 550 00:29:44,800 --> 00:29:48,400 Speaker 1: hundred dollars per person per week probably is going to 551 00:29:48,400 --> 00:29:50,800 Speaker 1: have the greatest effects, as well as the money for 552 00:29:50,840 --> 00:29:53,640 Speaker 1: small businesses just to try to keep people employed as 553 00:29:53,720 --> 00:29:57,240 Speaker 1: much as possible. I think the biggest challenge there though, 554 00:29:57,920 --> 00:29:59,960 Speaker 1: and you hear this if you if you ask, somebody 555 00:30:00,120 --> 00:30:03,000 Speaker 1: was filed for unemblood insurance a lot of places, so 556 00:30:03,080 --> 00:30:06,800 Speaker 1: many millions of people filed that there's kind of a 557 00:30:06,840 --> 00:30:10,200 Speaker 1: log jam and they're waiting for weeks to get some 558 00:30:10,800 --> 00:30:14,480 Speaker 1: aid from the government that they are are supposed to get. 559 00:30:14,680 --> 00:30:16,920 Speaker 1: And the question is can you can you make it 560 00:30:17,160 --> 00:30:19,280 Speaker 1: three weeks? Can you make it? I can't or more? 561 00:30:19,560 --> 00:30:23,360 Speaker 1: I know it's very Depressif Jack Fitspatrick's on the money, 562 00:30:23,440 --> 00:30:26,760 Speaker 1: is there, Jack Fitspatricks. I just want to reset because 563 00:30:26,760 --> 00:30:28,720 Speaker 1: we got the two minute warning about two minutes ago 564 00:30:28,960 --> 00:30:32,880 Speaker 1: that President Trump's Coronavirus Task Force briefing UH is going 565 00:30:33,120 --> 00:30:37,200 Speaker 1: to UH is going to start. So if if we 566 00:30:37,280 --> 00:30:40,200 Speaker 1: do cut off, it's because we are going to go there. 567 00:30:40,280 --> 00:30:43,440 Speaker 1: But quickly, can we UH? Can you give us an 568 00:30:43,480 --> 00:30:47,280 Speaker 1: update on where economic stimulus Phase four is and when 569 00:30:47,320 --> 00:30:49,120 Speaker 1: you think the timetable on that will be. And if 570 00:30:49,160 --> 00:30:51,280 Speaker 1: I cut you off, it's because of Trump. Sure, so 571 00:30:51,320 --> 00:30:53,920 Speaker 1: they're talking essentially about phase three and a half and 572 00:30:54,120 --> 00:30:58,200 Speaker 1: phase four. Our colleague Billy House just broke the Nancy 573 00:30:58,200 --> 00:31:00,920 Speaker 1: Pelosi told some colleagues she think the next bill is 574 00:31:00,960 --> 00:31:03,840 Speaker 1: going to be about a trillion dollars. That's more money 575 00:31:03,880 --> 00:31:08,560 Speaker 1: probably for small businesses. They've talked about unemployment insurance extension, 576 00:31:09,040 --> 00:31:12,400 Speaker 1: but you probably remember Donald Trump talking about a two 577 00:31:12,440 --> 00:31:16,120 Speaker 1: trillion dollar infrastructure package, and they're kind of toying with 578 00:31:16,240 --> 00:31:20,160 Speaker 1: ideas that are more long term economic recovery. The next 579 00:31:20,520 --> 00:31:23,600 Speaker 1: chance that they have is if lawmakers can come back 580 00:31:23,720 --> 00:31:26,360 Speaker 1: at about April twentie, then they'd want to do something. 581 00:31:26,400 --> 00:31:28,720 Speaker 1: Then the question is is it actually safe to bring 582 00:31:28,720 --> 00:31:30,480 Speaker 1: them back or are they gonna have to come up 583 00:31:30,520 --> 00:31:33,720 Speaker 1: with some alternative route to doing their jobs. They better, 584 00:31:33,760 --> 00:31:36,160 Speaker 1: they better do something. They better do something. And just 585 00:31:36,200 --> 00:31:39,160 Speaker 1: to tell my colleagues who are working in the control room, 586 00:31:39,280 --> 00:31:41,840 Speaker 1: you can watch the feed of the White House Brady 587 00:31:41,920 --> 00:31:45,560 Speaker 1: Room Press briefing on you on the YouTube link of 588 00:31:45,560 --> 00:31:48,160 Speaker 1: the White House, so we can track and Dr Fauci 589 00:31:48,640 --> 00:31:50,680 Speaker 1: making his way into the Brady briefing room. And you 590 00:31:50,680 --> 00:31:53,960 Speaker 1: can listen to the President's daily Coronavirus Task Force briefing 591 00:31:54,040 --> 00:31:56,280 Speaker 1: right here on Bloomberg Radio. Jack, if I cut you 592 00:31:56,320 --> 00:31:59,120 Speaker 1: off again, it's because we're on standby for that. But 593 00:31:59,360 --> 00:32:01,959 Speaker 1: you mentioned that billion dollars. I was talking to sources 594 00:32:02,040 --> 00:32:03,840 Speaker 1: last week and I'm wondering if this is messing with 595 00:32:03,880 --> 00:32:08,280 Speaker 1: your reporting as well that public sector jobs, government jobs 596 00:32:08,320 --> 00:32:13,080 Speaker 1: as well, firefighters, police officers, They and cities and states 597 00:32:13,120 --> 00:32:16,239 Speaker 1: and communities they missed out on the on the on 598 00:32:16,280 --> 00:32:20,880 Speaker 1: the last stimulus, and so Speaker Pelosi wants to make 599 00:32:20,880 --> 00:32:24,680 Speaker 1: sure that they're included. And this go around right right. 600 00:32:24,760 --> 00:32:28,960 Speaker 1: I mean, there's there's there's the chatter about hazard pay 601 00:32:29,000 --> 00:32:30,080 Speaker 1: for a lot of the people who have to go 602 00:32:30,080 --> 00:32:34,000 Speaker 1: to work. There's also she's talked repeatedly about, well, let's 603 00:32:34,040 --> 00:32:36,360 Speaker 1: unpack you out what does hazard pay mean, because that's 604 00:32:36,360 --> 00:32:37,720 Speaker 1: something that might be a new phrase for some of 605 00:32:37,720 --> 00:32:40,840 Speaker 1: our audience. Well, you you would expect to get hazard 606 00:32:40,920 --> 00:32:44,880 Speaker 1: pay if you're a first responder or someone who goes 607 00:32:44,920 --> 00:32:48,760 Speaker 1: into dangerous situations. But there's some jobs that are necessary, 608 00:32:48,880 --> 00:32:52,880 Speaker 1: like grocery workers that usually wouldn't get that, even though 609 00:32:52,960 --> 00:32:56,160 Speaker 1: in this scenario they are putting themselves in harm's way. 610 00:32:56,440 --> 00:32:58,800 Speaker 1: I can't tell you what they're going to put necessarily 611 00:32:58,840 --> 00:33:01,000 Speaker 1: in the next piece of legislation action, but that's the 612 00:33:01,040 --> 00:33:05,040 Speaker 1: basic idea when you hear people talking about hazard pay 613 00:33:05,120 --> 00:33:07,640 Speaker 1: for the people who we absolutely need to continue going 614 00:33:07,720 --> 00:33:10,600 Speaker 1: to work, is that the people who are showing up 615 00:33:10,640 --> 00:33:13,680 Speaker 1: in person are to some extent putting themselves in harm's 616 00:33:13,680 --> 00:33:17,360 Speaker 1: way and and getting extra pay for that is the 617 00:33:17,440 --> 00:33:18,160 Speaker 1: idea behind this