1 00:00:00,360 --> 00:00:05,120 Speaker 1: Five from our Nation's Camera. How do we reopen this economy? 2 00:00:05,200 --> 00:00:08,320 Speaker 1: The latest on how this pandemic is impacting farmers. What 3 00:00:08,440 --> 00:00:11,440 Speaker 1: does this do for the United States relationship with China? 4 00:00:11,600 --> 00:00:16,520 Speaker 1: Bloomberg Sound On, The Insiders, the influencers, the insides. We're 5 00:00:16,560 --> 00:00:19,720 Speaker 1: responding to this crisis and manufacturers are stepping up like 6 00:00:19,880 --> 00:00:23,400 Speaker 1: never before. We're looking at seventy Kennedys for different vaccines. 7 00:00:23,480 --> 00:00:26,120 Speaker 1: How do we make sure a pandemic of this scale 8 00:00:26,200 --> 00:00:30,280 Speaker 1: never happens again? This is Bloomberg Sound On with Kevin 9 00:00:30,360 --> 00:00:34,640 Speaker 1: Surrelate on Bloomberg and one oh five point seven f 10 00:00:34,760 --> 00:00:37,640 Speaker 1: m h D two. One week till the election, we 11 00:00:37,800 --> 00:00:40,159 Speaker 1: check in with Jorge Baby and Bloomberg White House Reporter 12 00:00:40,280 --> 00:00:43,680 Speaker 1: and COVID fear is back in Driving Markets, John Author's 13 00:00:44,159 --> 00:00:47,479 Speaker 1: Bloomberg Opinion columnists and senior editor from Markets ways in 14 00:00:47,640 --> 00:00:51,360 Speaker 1: on what happened in the markets today and next hour. 15 00:00:51,479 --> 00:00:58,400 Speaker 1: Congresswoman Abigail Spannberger, Democrat representing Virginia's seventh congressional district, COVID relief, 16 00:00:58,440 --> 00:01:02,600 Speaker 1: digital divide and broadband during the pandemic, lots to get through. 17 00:01:02,640 --> 00:01:06,959 Speaker 1: Where did the time go? One week? One week until 18 00:01:07,080 --> 00:01:12,360 Speaker 1: November three, The election, the Big Enchilada, the big, the big. 19 00:01:12,840 --> 00:01:14,200 Speaker 1: I don't know, I don't know what I what can 20 00:01:14,240 --> 00:01:16,640 Speaker 1: I say? What can I get away with? Jordan's Fabian 21 00:01:16,880 --> 00:01:20,080 Speaker 1: Bloomberg whiteouts reporter Jordan, how did President Trump spend the 22 00:01:20,160 --> 00:01:24,400 Speaker 1: day today on the campaign trail? Well, Kevin, he started 23 00:01:24,400 --> 00:01:27,720 Speaker 1: off just now with a rally in Lansing, Michigan. He's 24 00:01:27,760 --> 00:01:33,640 Speaker 1: gonna head to Nebraska later on and as well as Wisconsin. Wisconsin, 25 00:01:33,680 --> 00:01:36,520 Speaker 1: the state that, of course, he won back in twenty sixteen. 26 00:01:36,640 --> 00:01:40,000 Speaker 1: Long in Michigan and the Nebraska stop can help him 27 00:01:40,000 --> 00:01:43,680 Speaker 1: show up a single electoral vote in Nebraska, which divides 28 00:01:43,720 --> 00:01:47,880 Speaker 1: its electoral votes by congressional district and not the whole state. 29 00:01:48,320 --> 00:01:50,840 Speaker 1: So what do you mean by that that? That's that's interesting. 30 00:01:50,920 --> 00:01:55,120 Speaker 1: Let's go there. What does that mean? So that means that, yeah, 31 00:01:55,160 --> 00:01:59,080 Speaker 1: the electoral votes are proportioned by congressional district, So if 32 00:01:59,240 --> 00:02:04,560 Speaker 1: candidate wins the congressional district, then they can split the 33 00:02:04,560 --> 00:02:09,000 Speaker 1: electoral vote. So it'll say Joe Biden wins Nebraska second district, 34 00:02:09,000 --> 00:02:12,000 Speaker 1: where President Trump is heading right now, he can win 35 00:02:12,080 --> 00:02:15,720 Speaker 1: one of Nebraska's five electoral votes. Okay, that's fascinating. They're 36 00:02:15,720 --> 00:02:18,680 Speaker 1: also doubling down on Florida and Pennsylvania. I spoke to 37 00:02:18,680 --> 00:02:22,800 Speaker 1: a source earlier this afternoon who said, they're still confident 38 00:02:22,840 --> 00:02:26,040 Speaker 1: about Pennsylvania. You've got this unrest happening in Philadelphia. They 39 00:02:26,080 --> 00:02:30,040 Speaker 1: feel they're overperforming in Philadelphia, the actual city, compared to 40 00:02:30,120 --> 00:02:33,720 Speaker 1: Hillary Clinton. What do we know about Pennsylvania. Well, I 41 00:02:33,720 --> 00:02:35,560 Speaker 1: can tell you Kevin there there are certainly spending a 42 00:02:35,560 --> 00:02:37,520 Speaker 1: lot of time there. I was with the President yesterday 43 00:02:37,520 --> 00:02:40,800 Speaker 1: where he did three rallies in Pennsylvania in the northeastern 44 00:02:40,800 --> 00:02:43,080 Speaker 1: part of the state now Intown is central part of 45 00:02:43,080 --> 00:02:45,679 Speaker 1: the state, in Lancaster, and then in Altoona in the 46 00:02:45,720 --> 00:02:47,799 Speaker 1: western part of the state. So yeah, that that's the 47 00:02:47,840 --> 00:02:50,079 Speaker 1: state that carries a lot of electoral votes. The President 48 00:02:50,080 --> 00:02:53,320 Speaker 1: thinks he's got a good message on fracking and energy 49 00:02:53,400 --> 00:02:55,840 Speaker 1: after what Joe Biden said in the final debate about 50 00:02:56,040 --> 00:02:59,280 Speaker 1: transitioning away from the oil industry, and so they're gonna 51 00:02:59,320 --> 00:03:01,840 Speaker 1: try to press their advantage there as one of the 52 00:03:01,919 --> 00:03:05,840 Speaker 1: key states they're focusing on. Okay, Meanwhile, Joe Biden also 53 00:03:05,919 --> 00:03:09,200 Speaker 1: returning to the campaign trail. The Biden campaign is trying 54 00:03:09,240 --> 00:03:11,639 Speaker 1: to expand the map. What states do they have their 55 00:03:11,639 --> 00:03:15,320 Speaker 1: eyes on Well, I think they're trying to rebuild that 56 00:03:15,320 --> 00:03:18,639 Speaker 1: blue wall in the Midwest Kevin that the President battered 57 00:03:18,639 --> 00:03:20,959 Speaker 1: in sen So they're looking at some of the same 58 00:03:21,000 --> 00:03:27,840 Speaker 1: states Michigan, Wisconsin, and uh and Minnesota, of course, in Pennsylvania, 59 00:03:28,360 --> 00:03:31,240 Speaker 1: which is right next to the Vice president's home state 60 00:03:31,280 --> 00:03:34,320 Speaker 1: of Delaware, but also expanding the map in places like 61 00:03:34,480 --> 00:03:37,840 Speaker 1: Arizona and Georgia, where the Vice President was today. They 62 00:03:37,880 --> 00:03:41,880 Speaker 1: think that with the influx of Georgia, migrants from the 63 00:03:41,920 --> 00:03:43,960 Speaker 1: from the from the north, and and some of the 64 00:03:44,080 --> 00:03:46,360 Speaker 1: growth that Democrats have in the suburbs of those states, 65 00:03:46,400 --> 00:03:48,520 Speaker 1: they can they can have a chance of winning those 66 00:03:48,720 --> 00:03:52,680 Speaker 1: traditionally red states. It's just gonna be absolutely fascinating. Jordan 67 00:03:52,720 --> 00:03:56,160 Speaker 1: Fabians online Bloomberg White House reporters seven days out I 68 00:03:56,160 --> 00:04:00,320 Speaker 1: guess six six days and some hours out until election day. 69 00:04:00,640 --> 00:04:05,240 Speaker 1: The President today telling reporters that he doesn't necessarily believe 70 00:04:05,280 --> 00:04:07,960 Speaker 1: or he believes that there should be a result on 71 00:04:08,160 --> 00:04:12,080 Speaker 1: election night. Jordan's what do we know about how the 72 00:04:12,200 --> 00:04:15,320 Speaker 1: White House is preparing and how the biding campaign is 73 00:04:15,360 --> 00:04:20,000 Speaker 1: preparing for potentially some not potentially not having a result 74 00:04:20,240 --> 00:04:24,320 Speaker 1: on election night. Well, they're certainly carrying up for a 75 00:04:24,360 --> 00:04:27,160 Speaker 1: possible legal battle, Kevin. And they're already stiding uh that 76 00:04:27,360 --> 00:04:31,120 Speaker 1: in courts and in many states, the Trump campaign fighting 77 00:04:31,160 --> 00:04:34,600 Speaker 1: some battles and courts and Pennsylvania and Nevada over mail 78 00:04:34,640 --> 00:04:38,200 Speaker 1: and ballots and and poll watchers, and and they're certainlysembling 79 00:04:38,200 --> 00:04:41,200 Speaker 1: a legal team for any battles that might ensue afterwards. 80 00:04:41,640 --> 00:04:43,279 Speaker 1: But I gotta say, Kevin, this is a bit of 81 00:04:43,279 --> 00:04:46,840 Speaker 1: a misknowner by the president. News organizations will often call 82 00:04:46,920 --> 00:04:49,760 Speaker 1: the results on election night, but in closely contested states, 83 00:04:50,080 --> 00:04:53,920 Speaker 1: year after year, we see results not being decided formally 84 00:04:54,000 --> 00:04:58,120 Speaker 1: for days, if not weeks afterwards. So while yes, there 85 00:04:58,120 --> 00:05:01,599 Speaker 1: are uh, certainly states that are lying on mail in ballots, 86 00:05:01,720 --> 00:05:04,080 Speaker 1: much more so than the past because of the pandemic, 87 00:05:04,279 --> 00:05:07,440 Speaker 1: it's not really true to say that the election is 88 00:05:07,480 --> 00:05:10,080 Speaker 1: always decided on election night. All Right. It's not just 89 00:05:10,200 --> 00:05:13,880 Speaker 1: Joe Biden and President Trump who are hitting the campaign trail. 90 00:05:14,120 --> 00:05:18,320 Speaker 1: It's also former President Barack Obama. Obama was an Orlando, 91 00:05:18,880 --> 00:05:23,679 Speaker 1: Florida earlier today and he talked about the economy. Taken 92 00:05:23,839 --> 00:05:27,800 Speaker 1: take a listen to former President Obama talking about the economy. 93 00:05:27,839 --> 00:05:31,520 Speaker 1: Here he is economic damage that he inflicted by botching 94 00:05:31,560 --> 00:05:35,039 Speaker 1: the pandemic response means he will be the first president 95 00:05:35,480 --> 00:05:40,400 Speaker 1: since Herbert who to actually lose jobs. What So, what's 96 00:05:40,360 --> 00:05:44,200 Speaker 1: striving the closing argument? Is it COVID nineteen for for 97 00:05:44,360 --> 00:05:48,040 Speaker 1: Joe Biden? Is it the economy for Trump? What is it? 98 00:05:50,880 --> 00:05:54,000 Speaker 1: You said it? It's definitely the COVID nineteen pandemic and 99 00:05:54,000 --> 00:05:57,080 Speaker 1: Trump's handling of it. For Joe Biden. Uh, they're arguing 100 00:05:57,120 --> 00:05:59,760 Speaker 1: that he has botched this response and the and their 101 00:06:00,000 --> 00:06:02,360 Speaker 1: country has suffered as a result, while you're seeing the 102 00:06:03,120 --> 00:06:06,640 Speaker 1: really downplay the pandemic by saying, you know, COVID, COVID, COVID, 103 00:06:06,640 --> 00:06:08,880 Speaker 1: it's all the media is talking about and trying to 104 00:06:08,920 --> 00:06:12,719 Speaker 1: get voters to focus on some of what his success 105 00:06:12,760 --> 00:06:16,040 Speaker 1: is before the pandemic, and also trying to paint Democrats 106 00:06:16,400 --> 00:06:19,400 Speaker 1: as too far to the left. And so those are 107 00:06:19,400 --> 00:06:22,000 Speaker 1: the those are the messages you'll hear from the nominees 108 00:06:22,040 --> 00:06:24,320 Speaker 1: here in the final days. Jordan, I'm in my Bloomberg 109 00:06:24,400 --> 00:06:25,960 Speaker 1: terminal right now, and I've got a map of the 110 00:06:26,040 --> 00:06:28,760 Speaker 1: United States pulled up and it's red and it's blue, 111 00:06:28,960 --> 00:06:32,200 Speaker 1: and no, it's not an electoral college map. It's a 112 00:06:32,200 --> 00:06:37,000 Speaker 1: map of COVID nineteen hospitalizations, which shows that those hospitalizations 113 00:06:37,240 --> 00:06:41,159 Speaker 1: are rising. Diving into the terminal COVID nineteen hospitalizations have 114 00:06:41,320 --> 00:06:44,159 Speaker 1: risen at least ten percent in the past week in 115 00:06:44,320 --> 00:06:47,839 Speaker 1: thirty two states and the nation's capital, as the month 116 00:06:47,920 --> 00:06:52,320 Speaker 1: old viral surge increasingly weighs on America's healthcare system. Current 117 00:06:52,360 --> 00:06:59,000 Speaker 1: hospitalization swordent wow in New Mexico, in Wyoming and thirty 118 00:06:59,000 --> 00:07:02,920 Speaker 1: eight percent in can Etiquette, among other notable increases. UH 119 00:07:03,240 --> 00:07:06,560 Speaker 1: South Dakota, Montana, and North Dakota have the most current 120 00:07:06,560 --> 00:07:09,479 Speaker 1: patients per capita. Jordan, I'm fascinated by this. I know 121 00:07:09,560 --> 00:07:11,000 Speaker 1: we don't have an answer. We're not going to have 122 00:07:11,000 --> 00:07:15,000 Speaker 1: an answer until weeks, potentially months. Dare I say years after? 123 00:07:15,440 --> 00:07:19,000 Speaker 1: In terms of how COVID nineteen at the local level 124 00:07:19,120 --> 00:07:23,120 Speaker 1: is going to impact turnout on election day, There's been 125 00:07:23,160 --> 00:07:27,720 Speaker 1: obviously a dramatic increase in early election voting. Fifty million 126 00:07:27,760 --> 00:07:31,360 Speaker 1: Americans already casting their ballots. I spoke with a source 127 00:07:31,400 --> 00:07:34,840 Speaker 1: today who suggested to me, Hey, those folks casting ballots 128 00:07:34,880 --> 00:07:36,920 Speaker 1: were also likely to show up at the polls on 129 00:07:36,960 --> 00:07:41,440 Speaker 1: November three. It's going to be just riveting and one 130 00:07:41,440 --> 00:07:44,600 Speaker 1: of the narratives of election night to really look into 131 00:07:44,680 --> 00:07:48,840 Speaker 1: whether or not first time voters or returning voters or 132 00:07:48,880 --> 00:07:53,400 Speaker 1: disenfranchised voters cast a mail in ballot, or if these 133 00:07:53,440 --> 00:07:56,160 Speaker 1: were the folks who were going to vote all along. 134 00:07:56,280 --> 00:08:00,400 Speaker 1: Jordan's yeah, you know, you're right having that those are 135 00:08:00,440 --> 00:08:03,200 Speaker 1: going to be interesting things to watch. But the trends 136 00:08:03,280 --> 00:08:06,320 Speaker 1: right now are showing the early voting levels farster passing 137 00:08:07,320 --> 00:08:11,600 Speaker 1: what they were in and even when Democrats saw a 138 00:08:11,680 --> 00:08:15,440 Speaker 1: surge of turnout, and we generally believed that larger turnout 139 00:08:15,880 --> 00:08:19,320 Speaker 1: is better for the Democratic candidates. If if the president, 140 00:08:19,680 --> 00:08:21,960 Speaker 1: if excuse me, Hillary Clinton, had seen larger turned out 141 00:08:22,000 --> 00:08:25,440 Speaker 1: in states like Wisconsin, Michigan, and Pennsylvania in twenty sixteen, 142 00:08:25,720 --> 00:08:28,320 Speaker 1: she likely would have won. So I think the Democrats 143 00:08:28,320 --> 00:08:30,880 Speaker 1: look at those numbers and they are encouraged by them. 144 00:08:31,440 --> 00:08:33,360 Speaker 1: But we'll have to see, of course, if this year 145 00:08:33,440 --> 00:08:36,680 Speaker 1: proved to be different, and you also have you Republicans 146 00:08:37,120 --> 00:08:39,920 Speaker 1: are voting early in large numbers because of the pandemic too. 147 00:08:40,320 --> 00:08:43,000 Speaker 1: Will only find that out on election night or afterwards. 148 00:08:43,400 --> 00:08:45,760 Speaker 1: Jordan's great point. That's a great point. Are the Eagles 149 00:08:45,760 --> 00:08:49,600 Speaker 1: gonna be the cowboys? This weekend? It was pretty cowboss 150 00:08:49,600 --> 00:08:52,080 Speaker 1: was pretty bad on Sunday, Kevin against Washington. So you 151 00:08:52,120 --> 00:08:55,400 Speaker 1: gotta think the Eagles. Have you seen the starts our season? 152 00:08:55,480 --> 00:08:57,080 Speaker 1: But I mean, yeah, we we had that big win 153 00:08:57,240 --> 00:09:00,679 Speaker 1: last week. But I mean, I just it's it's just, 154 00:09:01,240 --> 00:09:03,320 Speaker 1: you know, sometimes I don't even know what I'm watching. 155 00:09:03,320 --> 00:09:08,520 Speaker 1: But Boston's got has my full undivided loyalty. Jordan Fabian, 156 00:09:08,760 --> 00:09:12,440 Speaker 1: Bloomberg White House Reporter. Where are you headed two next? Buddy? 157 00:09:13,240 --> 00:09:15,600 Speaker 1: We'll speak Kevin. The President's got a lot of stops 158 00:09:15,600 --> 00:09:18,360 Speaker 1: in the coming days, so I'm sure I'll be out 159 00:09:18,360 --> 00:09:21,000 Speaker 1: there for one of them. And uh and it will 160 00:09:21,040 --> 00:09:23,120 Speaker 1: be certainly one of the Link states for sure. Yeah. 161 00:09:23,200 --> 00:09:26,280 Speaker 1: Pack the pure l alright, Jordan's stay safe. Jordan Fabian, Bloomberg, 162 00:09:26,280 --> 00:09:28,520 Speaker 1: White House Reporter, Town Bload the Bloomberg sown on podcast 163 00:09:28,720 --> 00:09:30,840 Speaker 1: on Apple, it Tunes, at Bloomberg dot com, or by 164 00:09:30,880 --> 00:09:33,640 Speaker 1: downloading the Bloomberg Business App. You can also find me 165 00:09:34,040 --> 00:09:38,160 Speaker 1: on Bloomberg Radio, I Heart Radio dot com, I Heart Radio, 166 00:09:38,520 --> 00:09:41,400 Speaker 1: and Spotify. For all of our latest coverage on COVID nineteen, 167 00:09:41,440 --> 00:09:44,880 Speaker 1: head on over so Bloomberg dot com slash coronavirus coming up. 168 00:09:45,160 --> 00:09:47,959 Speaker 1: What happened in the markets today? Tech shares gain after 169 00:09:48,880 --> 00:09:53,400 Speaker 1: chip Maker merger and acquisition. You're listening to Bloomberg one. 170 00:10:08,280 --> 00:10:12,840 Speaker 1: This is Bloomberg Sound On with Kevin Surreley on Bloomberg 171 00:10:13,960 --> 00:10:16,360 Speaker 1: and one oh five point seven f M HD two. 172 00:10:16,679 --> 00:10:21,240 Speaker 1: I'm Kevin Curreli, Chief Washington correspondent for Bloomberg Television and 173 00:10:21,440 --> 00:10:26,000 Speaker 1: for Bloomberg Radio. Red head crossing the Bloomberg Terminal. Early 174 00:10:26,080 --> 00:10:31,880 Speaker 1: voting reaches fifty point two percent of total US ballots 175 00:10:31,960 --> 00:10:37,840 Speaker 1: cast in. Wow. I can't even wrap my head around this. 176 00:10:37,920 --> 00:10:40,720 Speaker 1: I mean, I'm sitting here with our producer on the show, 177 00:10:40,760 --> 00:10:44,520 Speaker 1: Match Shirley, at our EP Barata. She's face timing in 178 00:10:45,120 --> 00:10:50,160 Speaker 1: or I guess video conferencing in video videoing video wing? 179 00:10:50,280 --> 00:10:52,440 Speaker 1: Is that a word in? And she tells us in 180 00:10:52,440 --> 00:10:54,880 Speaker 1: the break to see this red headline crossing the Bloomberg terminal, 181 00:10:54,920 --> 00:10:58,360 Speaker 1: I said, Barata, what is it? Early voting reaches fifty 182 00:10:58,520 --> 00:11:05,880 Speaker 1: point two percent of total US ballots cast in, So 183 00:11:06,240 --> 00:11:10,120 Speaker 1: I mean, I know half of the folks have already 184 00:11:10,240 --> 00:11:15,160 Speaker 1: voted in America for the presidency. If you look at 185 00:11:15,200 --> 00:11:18,240 Speaker 1: the batch of voters from last time. We're going to 186 00:11:18,360 --> 00:11:20,200 Speaker 1: dive into that coming up in the next hour with 187 00:11:20,240 --> 00:11:25,400 Speaker 1: Congresswoman Abigail span Burger, Democrat from Virginia, and my all 188 00:11:25,440 --> 00:11:30,400 Speaker 1: star panel Lester Mundson. Mark poston Bach returns. I said, 189 00:11:30,440 --> 00:11:33,640 Speaker 1: where's Mark? Ben? We got Mark on today, but first 190 00:11:33,679 --> 00:11:36,880 Speaker 1: we gotta check in with sticking with the terminal for 191 00:11:37,080 --> 00:11:41,079 Speaker 1: what happened? Uh in the markets today? Tech shares rose 192 00:11:41,440 --> 00:11:45,560 Speaker 1: after Advanced micro Devices Inc. Announced a thirty five billion 193 00:11:45,640 --> 00:11:48,760 Speaker 1: dollar takeover of another chip maker, helping to blunt concern 194 00:11:49,240 --> 00:11:54,680 Speaker 1: about the impact of growing coronavirus infections. Oil climbed. The 195 00:11:54,720 --> 00:11:58,800 Speaker 1: tech strength wasn't enough to bluey the SMP Index, which 196 00:11:58,840 --> 00:12:03,319 Speaker 1: declined for a secon con straight day. Almost four stocks 197 00:12:03,400 --> 00:12:08,240 Speaker 1: fell for everyone that rose, with banks bearing the brunt 198 00:12:08,400 --> 00:12:12,680 Speaker 1: of selling this. Uh So that's what happened in the 199 00:12:12,720 --> 00:12:16,600 Speaker 1: marks today. Joining us on the telephone line, John Authors, 200 00:12:16,640 --> 00:12:19,840 Speaker 1: he's a Bloomberg opinion columnists and senior editor for Markets. 201 00:12:20,000 --> 00:12:22,040 Speaker 1: I've got a lot to get through with Mark, but 202 00:12:22,160 --> 00:12:24,640 Speaker 1: first it makes some meaning. Help me sort through the 203 00:12:24,679 --> 00:12:28,160 Speaker 1: meaning of what happened in the markets today, John, Well, Basically, 204 00:12:29,000 --> 00:12:32,800 Speaker 1: you've seen traders continue to act on the assumption that 205 00:12:32,880 --> 00:12:36,440 Speaker 1: the coronavirus is going to be worse than they previously thought. 206 00:12:36,520 --> 00:12:39,000 Speaker 1: The tech stocks. And we're not just talking about the 207 00:12:39,040 --> 00:12:42,360 Speaker 1: Chip merger, but you know, the big names known as 208 00:12:42,360 --> 00:12:46,280 Speaker 1: the fangs, you know, the the the ultrabee stocks did 209 00:12:46,360 --> 00:12:52,320 Speaker 1: particularly well today, and that's because companies like Google, Amazon, 210 00:12:52,440 --> 00:12:56,800 Speaker 1: Microsoft and someone as seen as immune to the virus. 211 00:12:56,840 --> 00:12:59,880 Speaker 1: They make even more money if we're all stuck indorsed 212 00:13:00,000 --> 00:13:05,040 Speaker 1: talking to each other online, while any number of stocks, 213 00:13:05,040 --> 00:13:09,559 Speaker 1: particularly bank stocks, that are seen as being particularly harmed 214 00:13:09,679 --> 00:13:13,000 Speaker 1: by a return to you know, big impact on our 215 00:13:13,000 --> 00:13:17,160 Speaker 1: lives from the virus went went down. So this was 216 00:13:17,960 --> 00:13:21,640 Speaker 1: a classic of what we've now unfortunately learned to to 217 00:13:21,760 --> 00:13:25,000 Speaker 1: live with. This is what happens when people are more 218 00:13:25,000 --> 00:13:28,400 Speaker 1: worried about the virus. They even I'm not even on 219 00:13:28,440 --> 00:13:32,840 Speaker 1: my terminal, I'm on I'm on uh Bloomberg dot com 220 00:13:32,880 --> 00:13:36,200 Speaker 1: and the lead story right now, Governor Andrew Cuomo seeks 221 00:13:36,240 --> 00:13:39,839 Speaker 1: to keep of us out of New York as the 222 00:13:39,920 --> 00:13:42,880 Speaker 1: virus rage as well. I mean, just I can't say 223 00:13:42,920 --> 00:13:45,240 Speaker 1: this enough. I mean, we we this is a political show, 224 00:13:45,280 --> 00:13:48,120 Speaker 1: but we we kind of lose sight of just how 225 00:13:48,200 --> 00:13:52,280 Speaker 1: much this this virus is continuing to spread even if 226 00:13:52,280 --> 00:13:56,040 Speaker 1: it's not impacting folks. Uh psychology of whether or not 227 00:13:56,120 --> 00:13:59,240 Speaker 1: they go to their local polling place. But again that 228 00:13:59,240 --> 00:14:03,880 Speaker 1: Bloomberg headline fifty. If headlines like that are around, it 229 00:14:04,080 --> 00:14:08,760 Speaker 1: is affecting psychology, not as dramatically as oh my god, 230 00:14:08,800 --> 00:14:12,320 Speaker 1: we might die, which was not an unreasonable fear back 231 00:14:12,360 --> 00:14:15,280 Speaker 1: in March and April. But just do I really want 232 00:14:15,320 --> 00:14:20,080 Speaker 1: to do this? Should I be making trips that are unnecessary? 233 00:14:20,160 --> 00:14:23,520 Speaker 1: Maybe I am going to cancel going and seeing Grandma, etcetera, etcetera. 234 00:14:24,080 --> 00:14:26,800 Speaker 1: It'll have enough to make It will have enough of 235 00:14:26,800 --> 00:14:29,760 Speaker 1: an effect to move the stock markets and way way 236 00:14:29,760 --> 00:14:33,080 Speaker 1: as we can see, like happened today and yesterday. Uh 237 00:14:33,120 --> 00:14:36,880 Speaker 1: and yet it might yet have an effect on people, 238 00:14:37,200 --> 00:14:39,240 Speaker 1: you know, be half of the country that hasn't voted yet. 239 00:14:39,760 --> 00:14:42,680 Speaker 1: This is such a thousand percent. This is such a 240 00:14:42,680 --> 00:14:44,440 Speaker 1: treat for me. John Author's is on the line. He's 241 00:14:44,440 --> 00:14:46,920 Speaker 1: a senior editor for Markets and before Bloomberg, he spent 242 00:14:46,920 --> 00:14:49,560 Speaker 1: twenty nine years with The Financial Times, where he was 243 00:14:49,600 --> 00:14:52,480 Speaker 1: head of the lex column and chief markets commentator. He 244 00:14:52,600 --> 00:14:55,560 Speaker 1: is the author of The Fearful Rise of Markets and 245 00:14:55,640 --> 00:14:59,200 Speaker 1: of course other books. Volatility is Back you right, John? 246 00:15:00,040 --> 00:15:03,040 Speaker 1: On Bloomberg Opinion, Tell me about what's happening with the 247 00:15:03,120 --> 00:15:08,840 Speaker 1: VEX Okay, the VIX which colvix nineteen, Cox nineteen I love, 248 00:15:08,880 --> 00:15:12,040 Speaker 1: I love the wordplay. Sorry, I should have been a 249 00:15:12,080 --> 00:15:14,840 Speaker 1: downtable sub editor at the Sun back in England, didn't there. 250 00:15:15,440 --> 00:15:20,000 Speaker 1: So the point of the the idea VIX fixes is, 251 00:15:20,120 --> 00:15:23,560 Speaker 1: you know, ultimately it's technicalities. It's measuring how much people 252 00:15:23,600 --> 00:15:26,840 Speaker 1: are spending on the options market to protect themselves against 253 00:15:26,920 --> 00:15:28,880 Speaker 1: volatility in the future. Where it goes up, it means 254 00:15:28,880 --> 00:15:32,280 Speaker 1: people are more scared, which means that it is often 255 00:15:32,320 --> 00:15:35,240 Speaker 1: just referred to as the fear index. And in the 256 00:15:35,320 --> 00:15:40,720 Speaker 1: last few days it has started rising significantly for the 257 00:15:40,800 --> 00:15:44,880 Speaker 1: first time for an external reason other than because of 258 00:15:46,000 --> 00:15:48,440 Speaker 1: technicalities I won't bore you with on this show, for 259 00:15:48,520 --> 00:15:52,000 Speaker 1: the first time since the worst of the pandemic back 260 00:15:52,000 --> 00:15:55,880 Speaker 1: in back in March. Now. A little of that is 261 00:15:56,680 --> 00:15:59,760 Speaker 1: people noticing, you know, tightening in Florida and all the 262 00:15:59,760 --> 00:16:02,760 Speaker 1: stuf that you will be talking about, the possibility that 263 00:16:03,520 --> 00:16:06,480 Speaker 1: we'll get a type you know, that will get an 264 00:16:06,480 --> 00:16:11,120 Speaker 1: indecisive election and some kind of a repeat of Florida 265 00:16:11,200 --> 00:16:16,880 Speaker 1: two thousands. But most of that is that people in 266 00:16:16,920 --> 00:16:21,560 Speaker 1: the markets in particular really had convinced themselves that the 267 00:16:21,720 --> 00:16:27,480 Speaker 1: virus was largely over as an economic issue choosing carefully. 268 00:16:27,480 --> 00:16:30,960 Speaker 1: They're not saying that the extent of the damage was known, 269 00:16:31,280 --> 00:16:34,200 Speaker 1: and it's getting a little hard. You know, there's there's 270 00:16:34,200 --> 00:16:36,720 Speaker 1: plenty of high powered hedge fund managers who've been doing 271 00:16:36,760 --> 00:16:40,880 Speaker 1: a lot of work educating themselves on epidemiology. Uh. And 272 00:16:41,800 --> 00:16:44,840 Speaker 1: you were largely convinced that that that we had reached 273 00:16:44,960 --> 00:16:48,680 Speaker 1: the break point for the for the virus, and that's 274 00:16:49,240 --> 00:16:52,160 Speaker 1: looking a lot harder to sustain given the given the 275 00:16:52,240 --> 00:16:53,920 Speaker 1: numbers we've seen in the last time. I think this 276 00:16:54,120 --> 00:16:56,120 Speaker 1: stas and John Arthur's is on with us. He's a 277 00:16:56,160 --> 00:16:58,400 Speaker 1: senior editor here, he's, of course, you know, a legend 278 00:16:58,440 --> 00:17:01,680 Speaker 1: and financial journalism, um, and we're just so grateful for 279 00:17:01,680 --> 00:17:04,240 Speaker 1: for him to to lend his time with us. You know, 280 00:17:04,560 --> 00:17:08,000 Speaker 1: I asked this delicately because obviously, with a week ago 281 00:17:08,080 --> 00:17:10,960 Speaker 1: until the election, we're all in America very much trying 282 00:17:10,960 --> 00:17:13,280 Speaker 1: to figure out what America could have done better or 283 00:17:13,359 --> 00:17:16,040 Speaker 1: has done right. But you write in your column the 284 00:17:16,040 --> 00:17:18,720 Speaker 1: problem is greater in Europe, where even Germany, the most 285 00:17:18,720 --> 00:17:22,240 Speaker 1: successful major European country in dealing with the pandemic so far, 286 00:17:22,680 --> 00:17:27,080 Speaker 1: is seeing a rise in hospitalizations and so just divorce 287 00:17:27,200 --> 00:17:30,119 Speaker 1: politics for a second and just talk about the virus 288 00:17:30,119 --> 00:17:34,600 Speaker 1: holistically from a European and and and US and dynamic. Yes, 289 00:17:34,640 --> 00:17:38,560 Speaker 1: I mean and and bear in mind what it might 290 00:17:38,600 --> 00:17:41,000 Speaker 1: tell us about society and the body politics that that 291 00:17:41,080 --> 00:17:44,120 Speaker 1: this stuff is political at all, as this is practical 292 00:17:44,160 --> 00:17:48,520 Speaker 1: issues argued about between experts in public health, but anyway, 293 00:17:48,840 --> 00:17:55,000 Speaker 1: with no obvious ideology to them. Um, Germany was the 294 00:17:55,040 --> 00:17:59,399 Speaker 1: country that did the best job of doing track and trace. 295 00:18:00,040 --> 00:18:04,080 Speaker 1: It obviously has that much more of a tradition of 296 00:18:04,119 --> 00:18:07,240 Speaker 1: actually trusting the government, and it has more of doing 297 00:18:07,240 --> 00:18:10,200 Speaker 1: what the government tells it to no bad nukes here, 298 00:18:10,359 --> 00:18:12,000 Speaker 1: that there is more of a culture of that in 299 00:18:12,040 --> 00:18:14,240 Speaker 1: Germany than there is in certainly here in the US 300 00:18:14,280 --> 00:18:16,919 Speaker 1: than it, but also many other countries in there in 301 00:18:17,480 --> 00:18:19,399 Speaker 1: in Europe. And it has that much more of a 302 00:18:19,440 --> 00:18:21,760 Speaker 1: tradition of the best and the brightest actually wanting to 303 00:18:21,800 --> 00:18:25,840 Speaker 1: work for the government. And so they did actually do 304 00:18:26,040 --> 00:18:31,240 Speaker 1: a remarkably good job of locking down relatively surgically when 305 00:18:31,240 --> 00:18:34,359 Speaker 1: they did so, so two weeks of really not letting 306 00:18:34,400 --> 00:18:37,359 Speaker 1: people move around and really cutting off the virus and 307 00:18:37,400 --> 00:18:40,360 Speaker 1: then getting it down to the kind of level where 308 00:18:40,400 --> 00:18:43,439 Speaker 1: you could track and trace the victims. It was it 309 00:18:43,480 --> 00:18:46,520 Speaker 1: was a small enough story that you could keep it contained. 310 00:18:46,560 --> 00:18:49,040 Speaker 1: I mean that's the problem that happened in many other 311 00:18:49,080 --> 00:18:52,800 Speaker 1: European countries, particularly back home in the UK and and 312 00:18:52,920 --> 00:18:55,040 Speaker 1: here in the States, that once it gets beyond a 313 00:18:55,080 --> 00:18:59,280 Speaker 1: certain level, that kind of clever stratagem doesn't work anymore. 314 00:18:59,720 --> 00:19:04,960 Speaker 1: Now the case of Germany, we've got great economic activity data. 315 00:19:05,640 --> 00:19:11,120 Speaker 1: They've not actually had true lockdowns for some months. They 316 00:19:11,160 --> 00:19:14,359 Speaker 1: actually got back if you use the Google and Apple. 317 00:19:15,040 --> 00:19:19,359 Speaker 1: The advantage of their knowing every single second is we 318 00:19:19,440 --> 00:19:21,680 Speaker 1: know what that is, that they can track activity very well. 319 00:19:22,320 --> 00:19:26,800 Speaker 1: Germans were back to normal. And gotta jump in here 320 00:19:26,800 --> 00:19:28,480 Speaker 1: because I have a heartbreak, but thank you, and I 321 00:19:28,480 --> 00:19:31,160 Speaker 1: couldn't even make up a Halloween fang stock more next 322 00:19:31,200 --> 00:19:36,920 Speaker 1: joke more next you're listening womb why from our how 323 00:19:36,920 --> 00:19:40,679 Speaker 1: do we reopen this economy? The latest on how this 324 00:19:40,800 --> 00:19:43,800 Speaker 1: pandemic is impacting farmers. What does this do for the 325 00:19:43,880 --> 00:19:48,640 Speaker 1: United States relationship with China? Floomberg's sound on the insiders, 326 00:19:48,760 --> 00:19:52,399 Speaker 1: the influencers, the insides. We're responding to this crisis, and 327 00:19:52,520 --> 00:19:55,840 Speaker 1: manufacturers are stepping up like never before. We're looking at 328 00:19:55,880 --> 00:19:58,920 Speaker 1: seventy candidates for different vaccines. How do we make sure 329 00:19:59,080 --> 00:20:02,560 Speaker 1: a pandemic of this scale never happens again? This is 330 00:20:02,560 --> 00:20:11,000 Speaker 1: Bloomberg Sound On with Ken on Bloomberg two. One week, 331 00:20:11,960 --> 00:20:18,119 Speaker 1: one more week until the election. We've got every angle 332 00:20:18,200 --> 00:20:22,320 Speaker 1: cover plus half of the vote count has already cast 333 00:20:22,320 --> 00:20:27,800 Speaker 1: their ballot in remarkable new reporting and new numbers on 334 00:20:27,920 --> 00:20:31,920 Speaker 1: early mail in votes. What does it mean? And both 335 00:20:31,960 --> 00:20:35,560 Speaker 1: candidates are on the campaign trail today, I bring you 336 00:20:35,680 --> 00:20:37,520 Speaker 1: the latest all of that, plus what happened in the 337 00:20:37,560 --> 00:20:41,920 Speaker 1: markets today at an exclusive conversation with Congresswoman abigail's Bamberger, 338 00:20:42,400 --> 00:20:46,479 Speaker 1: Democrat from the battleground state of Virginia. One week to go, folks, 339 00:20:46,560 --> 00:20:49,080 Speaker 1: one more week and a red headline crossing the Bloomberg 340 00:20:49,160 --> 00:20:53,280 Speaker 1: terminal just within the last half hour. Dive into my terminal. Now, 341 00:20:53,640 --> 00:20:59,720 Speaker 1: as we see this, fifty point two percent of voters 342 00:20:59,760 --> 00:21:06,199 Speaker 1: from election count numbers have already cast their ballot in 343 00:21:06,280 --> 00:21:10,560 Speaker 1: two thousand and let me just say that again. You've 344 00:21:10,600 --> 00:21:17,359 Speaker 1: got fifty point two per cent, fifty two percent of 345 00:21:17,480 --> 00:21:22,360 Speaker 1: total US ballots cast in early voting reaches fifty total 346 00:21:22,480 --> 00:21:26,359 Speaker 1: US ballots cast in two thousand and sixteen. With that 347 00:21:26,440 --> 00:21:28,919 Speaker 1: former Vice President Joe Biden was back on the campaign 348 00:21:28,960 --> 00:21:32,639 Speaker 1: trail today and Georgia. Biden believes this nation, he says, 349 00:21:32,680 --> 00:21:34,520 Speaker 1: has to be healed. Take a listen to what he 350 00:21:34,560 --> 00:21:38,280 Speaker 1: said on the trail. Many wonder has it gone too far? 351 00:21:38,560 --> 00:21:41,159 Speaker 1: Have we passed the point of no return? Has a 352 00:21:41,200 --> 00:21:44,560 Speaker 1: heart of this nation turned to stone? I don't think so. 353 00:21:44,800 --> 00:21:49,480 Speaker 1: I refuse to believe it. Meanwhile, Republicans criticizing a lack 354 00:21:49,640 --> 00:21:54,640 Speaker 1: of campaign rallies from Joe Biden himself. This as President 355 00:21:54,640 --> 00:21:57,480 Speaker 1: Trump barn storms up and down the coast, barn storms 356 00:21:57,520 --> 00:22:02,680 Speaker 1: through battleground states like Pennsylvania, Florida, Michigan, Wisconsin. And meanwhile, 357 00:22:02,760 --> 00:22:06,720 Speaker 1: you had President Trump who said that he's expecting loyalty 358 00:22:06,760 --> 00:22:09,520 Speaker 1: from his base. He's expecting loyalty from parts of the Midwest. 359 00:22:09,560 --> 00:22:14,000 Speaker 1: Take a listen to President Trump campaigning earlier today in Nebraska. 360 00:22:14,040 --> 00:22:17,720 Speaker 1: Here he is, I'm right by Iowa and the farmers. 361 00:22:17,760 --> 00:22:20,120 Speaker 1: You know, we got the farmers twenty eight billion dollars. 362 00:22:20,880 --> 00:22:23,359 Speaker 1: So we're very We're we're doing very well as I 363 00:22:23,440 --> 00:22:27,120 Speaker 1: understand in Iowa and in Nebraska, but we're looking at 364 00:22:27,160 --> 00:22:31,480 Speaker 1: that Omaha region. That's why we're doing It's a fascinating 365 00:22:31,520 --> 00:22:36,320 Speaker 1: fascinating tale of two very different campaign strategies. And now 366 00:22:36,600 --> 00:22:40,480 Speaker 1: we should also note that former President Barack Obama joined 367 00:22:40,560 --> 00:22:45,959 Speaker 1: the campaign trail in Orlando. Here's former President Obama. Economic 368 00:22:46,080 --> 00:22:49,960 Speaker 1: damage that he inflicted by botching the pandemic response means 369 00:22:50,000 --> 00:22:53,600 Speaker 1: he will be the first president since herber who to 370 00:22:53,720 --> 00:22:57,879 Speaker 1: actually lose jobs. And if all that wasn't enough, Judge 371 00:22:57,880 --> 00:23:03,360 Speaker 1: Amy Coney Barrett joining the Supreme Court last night, and 372 00:23:03,520 --> 00:23:08,480 Speaker 1: the virus cases continuing to wreak havoc all throughout the country. 373 00:23:08,520 --> 00:23:10,840 Speaker 1: And we should note as I dive into my Bloomberg 374 00:23:10,960 --> 00:23:14,800 Speaker 1: terminal COVID nineteen hospitalizations have res in at least ten 375 00:23:14,840 --> 00:23:17,480 Speaker 1: percent in the past week in thirty two states and 376 00:23:17,560 --> 00:23:20,919 Speaker 1: the nation's capital, as the month old viral surge increasingly 377 00:23:20,920 --> 00:23:24,560 Speaker 1: weighs on America's healthcare system, and not to mention it's 378 00:23:24,640 --> 00:23:29,520 Speaker 1: economic institutions. With me for the hour an all star panel. 379 00:23:29,840 --> 00:23:33,160 Speaker 1: Lester months in principle of government relations firm b GR Group. 380 00:23:33,160 --> 00:23:35,679 Speaker 1: He of course, is also a former senior advisor to 381 00:23:35,680 --> 00:23:38,959 Speaker 1: the former chairman of the Center Foreign Relations Committee, Bob Corker, 382 00:23:39,040 --> 00:23:41,920 Speaker 1: the Republican from Tennessee. Got to say, Lester just got 383 00:23:41,960 --> 00:23:45,160 Speaker 1: back from Nashville love it. Mark Poston back returns Democratic 384 00:23:45,160 --> 00:23:50,480 Speaker 1: strategists and senior vice president at Rock Solutions Lester, give 385 00:23:50,480 --> 00:23:52,800 Speaker 1: me the lay of the land one week out. Is 386 00:23:52,840 --> 00:23:56,480 Speaker 1: the virus gonna impact the dynamics of this race? Is 387 00:23:56,480 --> 00:23:59,920 Speaker 1: it gonna impact turnout? Doesn't matter when half of America 388 00:24:00,040 --> 00:24:04,639 Speaker 1: has the electorate has already voted. Well, Kevin, it's a 389 00:24:04,680 --> 00:24:08,200 Speaker 1: really question. I think the fact that so many people 390 00:24:08,240 --> 00:24:13,080 Speaker 1: have voted early is almost directly related to coronavirus. Right, 391 00:24:13,200 --> 00:24:17,240 Speaker 1: we're our normal routines have changed. We have to plan 392 00:24:17,440 --> 00:24:19,800 Speaker 1: every single move, you have to remember to bring your 393 00:24:19,840 --> 00:24:23,359 Speaker 1: mask everywhere you go. Things have changed. People are voting 394 00:24:23,440 --> 00:24:26,359 Speaker 1: differently this time around. I think that's a big part 395 00:24:26,400 --> 00:24:28,480 Speaker 1: of the reason we're seeing so many people vote early, 396 00:24:28,560 --> 00:24:30,960 Speaker 1: and you've got to track it right. That changes the 397 00:24:30,960 --> 00:24:34,720 Speaker 1: way these campaigns are working. This late push by Trump, 398 00:24:34,880 --> 00:24:38,040 Speaker 1: where he did pretty well in the final debate compared 399 00:24:38,119 --> 00:24:41,840 Speaker 1: the vice president Biden and now he's barnstorming, may not 400 00:24:42,000 --> 00:24:44,000 Speaker 1: have quite the impact that would have hubbed in a 401 00:24:44,040 --> 00:24:46,399 Speaker 1: normal year when people would be waiting to vote. On 402 00:24:46,440 --> 00:24:52,840 Speaker 1: election day, everyone already voted really good for Trump. Well, 403 00:24:52,880 --> 00:24:55,720 Speaker 1: it's the question that we just don't know is whether 404 00:24:55,800 --> 00:24:58,360 Speaker 1: or not the people who voted, whether or not they 405 00:24:58,400 --> 00:25:01,600 Speaker 1: were going to vote of ready, if these are if 406 00:25:01,640 --> 00:25:04,800 Speaker 1: these are the devout political junkies so to speak, can 407 00:25:04,880 --> 00:25:07,880 Speaker 1: never miss an election, and if they're not new voters, 408 00:25:08,080 --> 00:25:10,240 Speaker 1: we do we don't know that. We don't have exit 409 00:25:10,280 --> 00:25:12,679 Speaker 1: polling on on the early voting. I spoke with a 410 00:25:12,720 --> 00:25:17,880 Speaker 1: Republican source earlier this afternoon. Uh uh, Mark Possenbach, who 411 00:25:17,920 --> 00:25:21,680 Speaker 1: who essentially said to me that much they feel that 412 00:25:21,800 --> 00:25:26,320 Speaker 1: the president going into town, stopping traffic, flying Air Force one, 413 00:25:26,640 --> 00:25:29,560 Speaker 1: having the local media there, you know, shutting down the 414 00:25:29,600 --> 00:25:32,639 Speaker 1: town so to speak. That you know that that's still 415 00:25:32,680 --> 00:25:36,199 Speaker 1: going to drive turnout. Uh in a way that A 416 00:25:36,320 --> 00:25:41,199 Speaker 1: that A that a Abiden events, a virtual event won't 417 00:25:41,240 --> 00:25:44,880 Speaker 1: be able to do. Mark, does that give you pause? Um? 418 00:25:44,960 --> 00:25:46,680 Speaker 1: You know, I think at the end of the day, Um, 419 00:25:47,080 --> 00:25:48,520 Speaker 1: you know, this is gonna come down to a couple 420 00:25:48,600 --> 00:25:50,119 Speaker 1: different things, and I think one is going to be 421 00:25:50,119 --> 00:25:53,199 Speaker 1: whether or not President Trump can find you know, new voters, 422 00:25:53,200 --> 00:25:56,120 Speaker 1: new non voters like you did in you know, as 423 00:25:56,160 --> 00:25:59,560 Speaker 1: you said, UM, We're unclear right now, Um, which way 424 00:26:00,000 --> 00:26:01,480 Speaker 1: these new voters are going to be. Excuse me that 425 00:26:01,600 --> 00:26:05,320 Speaker 1: people voting UM so far which way they're going. And 426 00:26:05,359 --> 00:26:08,400 Speaker 1: you know, obviously things UM will be tightening over time. 427 00:26:08,400 --> 00:26:10,400 Speaker 1: But at the end of the day, I'd rather be UM, 428 00:26:10,480 --> 00:26:14,160 Speaker 1: Joe Biden and Donald Trump. You know, the polls are indicating, UM, 429 00:26:14,600 --> 00:26:16,480 Speaker 1: they're going all in his favorite at this point. So 430 00:26:16,920 --> 00:26:18,800 Speaker 1: you know, even though the incumbents E they're a ton 431 00:26:18,840 --> 00:26:21,080 Speaker 1: of advantages there. You have air force one, you have 432 00:26:21,160 --> 00:26:24,439 Speaker 1: the ability, UM, you know, all the trappings of the 433 00:26:24,440 --> 00:26:27,200 Speaker 1: White House and the presidency. UM. You know, I'd much 434 00:26:27,280 --> 00:26:29,840 Speaker 1: rather be Joe Biden UM up than a couple of 435 00:26:30,040 --> 00:26:32,640 Speaker 1: a number of different states. Um. Even if it's within 436 00:26:32,680 --> 00:26:35,679 Speaker 1: the margin of era, it's remarkable. It's remarkable, and it's 437 00:26:35,680 --> 00:26:38,639 Speaker 1: a razor thin in Florida and the toss up states. 438 00:26:38,680 --> 00:26:42,800 Speaker 1: Paul suggests that Biden has the upper hand in Pennsylvania, 439 00:26:43,119 --> 00:26:45,200 Speaker 1: buried the lead of the New York Times story where 440 00:26:46,680 --> 00:26:51,879 Speaker 1: Trump is is beating Hillary Clinton in the Philadelphia county 441 00:26:51,880 --> 00:26:54,399 Speaker 1: where the city of brotherly love is of course so 442 00:26:54,480 --> 00:26:57,800 Speaker 1: much unrest uh, and in Philadelphia as well. So many 443 00:26:57,840 --> 00:27:01,520 Speaker 1: stories happening right now across the country, UM, and and 444 00:27:01,760 --> 00:27:04,720 Speaker 1: so many different different developments. All right. Just to finish 445 00:27:04,760 --> 00:27:07,400 Speaker 1: off this block, quickly for both of you. We've got 446 00:27:08,240 --> 00:27:10,600 Speaker 1: we've got two minutes, so you know, not too quick. 447 00:27:11,200 --> 00:27:13,399 Speaker 1: Let it breathe, but don't take too too much of 448 00:27:13,480 --> 00:27:18,320 Speaker 1: her breath. Lester, you know, very meditative these days. I'm 449 00:27:18,400 --> 00:27:22,879 Speaker 1: very focused. You know, I do breathe stoicism. You know, 450 00:27:23,000 --> 00:27:27,280 Speaker 1: I read my meditations. Uh, Lester. I appreciate that. Zen, 451 00:27:27,640 --> 00:27:31,359 Speaker 1: So really Zen, Uh Lester, Is this Joe Biden's race 452 00:27:31,440 --> 00:27:35,879 Speaker 1: to lose? I think it is. Uh. You know, there's 453 00:27:35,960 --> 00:27:40,080 Speaker 1: there's a Trump's fatigue factor. We've seen this act for 454 00:27:40,280 --> 00:27:42,520 Speaker 1: four or five years now. I think there's there's a 455 00:27:42,640 --> 00:27:44,879 Speaker 1: certain number of people who are getting tired of it. 456 00:27:45,960 --> 00:27:49,240 Speaker 1: On the other hand, they see what the Democrats have 457 00:27:49,480 --> 00:27:51,560 Speaker 1: moved a little bit to the left. There might be 458 00:27:51,600 --> 00:27:54,440 Speaker 1: some concerns there. Joe Biden has done a pretty good 459 00:27:54,480 --> 00:27:57,639 Speaker 1: job of holding that lead in the polls. Is it 460 00:27:57,720 --> 00:27:59,920 Speaker 1: going to have the same But we can see this 461 00:28:00,000 --> 00:28:02,360 Speaker 1: same dynamic we saw four years ago where those polls 462 00:28:02,400 --> 00:28:07,280 Speaker 1: just undercounted the Trump vote significantly. Trump has always been 463 00:28:08,359 --> 00:28:11,800 Speaker 1: has always under pulled. His numbers have never been fantastic 464 00:28:11,840 --> 00:28:15,159 Speaker 1: in polls like this. When people actually go vote, he 465 00:28:15,320 --> 00:28:18,440 Speaker 1: does better. Joe Biden has kind of been sitting back 466 00:28:18,440 --> 00:28:21,400 Speaker 1: on that lead, staying you know, at home, not doing 467 00:28:21,440 --> 00:28:23,199 Speaker 1: a ton of these rallies. Is that going to be 468 00:28:23,200 --> 00:28:25,600 Speaker 1: a mistake? Always out a smart move. We're gonna find 469 00:28:25,640 --> 00:28:28,480 Speaker 1: out in a week mark I'll get your first, Get 470 00:28:28,520 --> 00:28:30,880 Speaker 1: you first. On the other side, Download the Bloomberg's Down 471 00:28:30,880 --> 00:28:34,199 Speaker 1: On podcast on Apple iTunes, at Bloomberg dot com, or 472 00:28:34,200 --> 00:28:37,320 Speaker 1: by downloading the Bloomberg Business app. You can also find 473 00:28:37,320 --> 00:28:40,920 Speaker 1: me on Radio dot com, I Heart Radio, and Spotify. 474 00:28:41,040 --> 00:28:44,400 Speaker 1: For all of our latest coverage, not just on the elections, 475 00:28:44,440 --> 00:28:48,800 Speaker 1: but COVID nineteen specifically, head on over to Bloomberg dot 476 00:28:48,840 --> 00:28:52,400 Speaker 1: com slash coronavirus. My name is Kevin Surreally on the 477 00:28:52,480 --> 00:28:55,360 Speaker 1: Chief Washington Correspondent for Bloomberg Television and for Bloomberg Radio. 478 00:28:55,400 --> 00:29:18,440 Speaker 1: You're listening to Bloomberg. This is Bloomberg's Sound On with 479 00:29:18,520 --> 00:29:22,960 Speaker 1: Kevin Surley on Bloomberg and one oh five point seven 480 00:29:23,040 --> 00:29:25,640 Speaker 1: F M H D two. My name is Kevin si 481 00:29:25,680 --> 00:29:28,120 Speaker 1: Really of the Chief Washington Correspondent from Bloomberg TV and Radio. 482 00:29:28,160 --> 00:29:29,800 Speaker 1: You know, when I was growing up outside of Philly, 483 00:29:30,440 --> 00:29:34,240 Speaker 1: my mother after my birthday should say sit down. I said, 484 00:29:34,280 --> 00:29:37,600 Speaker 1: what I do wrong? I just turned seven sit down, keV. 485 00:29:38,080 --> 00:29:41,120 Speaker 1: I go, okay, write a thank you note? All right, 486 00:29:41,200 --> 00:29:43,600 Speaker 1: you write a handwritten thank you? Know people don't do 487 00:29:43,640 --> 00:29:45,920 Speaker 1: that anymore. Mark poston Back knows what I mean, but 488 00:29:46,000 --> 00:29:49,320 Speaker 1: Mark does um joining us for the hour, Mark poston Back. 489 00:29:49,360 --> 00:29:52,240 Speaker 1: He has a Democratic strategist senior vice president at Rock 490 00:29:53,000 --> 00:29:57,760 Speaker 1: Solutions and the I always say Rock that way, Rock Solutions. 491 00:29:57,920 --> 00:30:01,360 Speaker 1: I can't help it's so weird. It's so weird, senior 492 00:30:01,440 --> 00:30:04,960 Speaker 1: vice president at a Rock Solutions and for because they 493 00:30:04,960 --> 00:30:08,680 Speaker 1: spell it r O k K Solutions anyway. He's also 494 00:30:08,800 --> 00:30:11,000 Speaker 1: the former National Press Secretary of the d n C 495 00:30:11,200 --> 00:30:16,560 Speaker 1: during the presidential campaign. Lester Munson's also with US Principle 496 00:30:16,600 --> 00:30:20,240 Speaker 1: of Government Relations from b GR Group. Yeah, we gotta 497 00:30:20,280 --> 00:30:23,400 Speaker 1: put a final nail in the in the coffin, the 498 00:30:23,480 --> 00:30:26,120 Speaker 1: mummy coffin. I'm in. I'm in the mood of Halloween. 499 00:30:26,160 --> 00:30:27,720 Speaker 1: I guess you know, don't I don't know. People are 500 00:30:27,720 --> 00:30:30,840 Speaker 1: trick or treating, but I mean I'm socially distant. But 501 00:30:31,680 --> 00:30:35,560 Speaker 1: the nail and the mummy coffin of the fiscal stimulus 502 00:30:35,600 --> 00:30:40,560 Speaker 1: before election day, Uh, Lester Munson, It's it's never gonna happen. 503 00:30:40,960 --> 00:30:44,680 Speaker 1: I mean, I said this to Senator Kevin Kramer the 504 00:30:44,760 --> 00:30:46,640 Speaker 1: other day, and I promise you we will play that 505 00:30:46,680 --> 00:30:51,040 Speaker 1: interview tomorrow because we have Congresswoman Spamburger tonight. But he 506 00:30:51,160 --> 00:30:54,760 Speaker 1: said it was always gonna be fiscal stimulus in the 507 00:30:54,840 --> 00:30:58,320 Speaker 1: lane duck lester to begin with. I said, well, then 508 00:30:58,400 --> 00:31:01,000 Speaker 1: why all the back and fourth for the past Oh, 509 00:31:01,040 --> 00:31:05,000 Speaker 1: I don't know, six months. Well, there's been a lot 510 00:31:05,040 --> 00:31:08,040 Speaker 1: of posturing. Everyone's got to get a get a message out. 511 00:31:08,120 --> 00:31:11,440 Speaker 1: You know. The House under Speaker Polos who passed the 512 00:31:11,440 --> 00:31:13,680 Speaker 1: bill that was everyone, there was a messaging bill. The 513 00:31:13,720 --> 00:31:18,120 Speaker 1: Senate did similar things. An amazing thing for me during 514 00:31:18,160 --> 00:31:23,080 Speaker 1: this interesting political process was watching the President have four 515 00:31:23,240 --> 00:31:27,320 Speaker 1: different positions on the negotiation, all within about twenty four hours. 516 00:31:27,320 --> 00:31:32,440 Speaker 1: It was headspinning and uh and a lot of conversations 517 00:31:32,440 --> 00:31:35,560 Speaker 1: between Secretary of minut Chin and the Speaker. It was 518 00:31:35,600 --> 00:31:37,920 Speaker 1: it was there was just a lot of a lot 519 00:31:37,960 --> 00:31:41,520 Speaker 1: of chaff in the air, but no real substance. Okay, 520 00:31:41,720 --> 00:31:44,520 Speaker 1: Mark poston Bach, let me riddle me this. One of 521 00:31:44,520 --> 00:31:47,400 Speaker 1: the things that I gathered from my reporting today was 522 00:31:47,480 --> 00:31:53,600 Speaker 1: when the lawmakers told me, essentially the election next week 523 00:31:53,680 --> 00:31:56,800 Speaker 1: is going to inform the fiscal stimulus talks. For the 524 00:31:56,880 --> 00:31:59,920 Speaker 1: lame duck. That's very confusing because if we don't I mean, 525 00:32:00,080 --> 00:32:02,200 Speaker 1: and we're we are going to get hypothetical just for 526 00:32:02,200 --> 00:32:05,520 Speaker 1: a minute. If we don't have a result, they can't 527 00:32:05,520 --> 00:32:08,640 Speaker 1: negotiate fiscal stimulus while they're duking it out over who's 528 00:32:08,680 --> 00:32:12,600 Speaker 1: president of the United States and what the majority will 529 00:32:12,640 --> 00:32:16,240 Speaker 1: be in the next election. Especially we we talked about 530 00:32:16,240 --> 00:32:19,600 Speaker 1: mail and ballots, well that also includes the down ballot races, 531 00:32:19,680 --> 00:32:23,200 Speaker 1: so that in and of itself the windows closed. Secondly, 532 00:32:24,040 --> 00:32:26,880 Speaker 1: they how do you even if you've got one side 533 00:32:27,080 --> 00:32:32,320 Speaker 1: essentially leaving or going or coming or whatnot. I find 534 00:32:32,480 --> 00:32:35,080 Speaker 1: I just can't wrap my head around how they will 535 00:32:35,120 --> 00:32:38,000 Speaker 1: be able to negotiate a fiscal stimulus deal with this 536 00:32:38,120 --> 00:32:42,840 Speaker 1: much volatility coming from the nation's capital over an election result. 537 00:32:43,440 --> 00:32:48,560 Speaker 1: And most importantly, I'm not sure Americans who are are 538 00:32:48,720 --> 00:32:53,840 Speaker 1: craving stimulus that they can hold on much longer. Mark, Yeah, 539 00:32:53,920 --> 00:32:55,680 Speaker 1: I mean I think, Um, you know, what was said 540 00:32:55,720 --> 00:32:57,880 Speaker 1: earlier is exactly right. You've got a lot of different 541 00:32:57,880 --> 00:33:02,160 Speaker 1: people taking different positions. Know, um speak of Pelosi, you know, 542 00:33:02,320 --> 00:33:05,600 Speaker 1: maybe thinking she's gonna have a stronger hand after election day. 543 00:33:05,640 --> 00:33:09,200 Speaker 1: You know you've seen um, her sort of comments change, 544 00:33:09,240 --> 00:33:11,840 Speaker 1: and you know, the presidents also saying, you know today 545 00:33:11,920 --> 00:33:14,960 Speaker 1: promised the best stimulus package you've ever seen after the election, 546 00:33:15,040 --> 00:33:17,360 Speaker 1: and you know, speakers have started talking a little bit 547 00:33:17,400 --> 00:33:19,880 Speaker 1: more about UM that as well in terms of a 548 00:33:19,920 --> 00:33:22,479 Speaker 1: post election deal. I do think it will be interesting. 549 00:33:22,480 --> 00:33:24,200 Speaker 1: I mean, at some point there will be so much 550 00:33:24,280 --> 00:33:28,960 Speaker 1: pressure on UM on Congress to do something UM and 551 00:33:29,080 --> 00:33:31,720 Speaker 1: logistically is that is that canna be possible? But I 552 00:33:31,720 --> 00:33:35,200 Speaker 1: mean you have you know, the Dow sort of going 553 00:33:35,240 --> 00:33:37,000 Speaker 1: down on Monday, and then they was up a little 554 00:33:37,000 --> 00:33:38,840 Speaker 1: bit today. Excuse me that Nasdaq was up a little 555 00:33:38,880 --> 00:33:41,080 Speaker 1: bit today, that was still down a little bit at 556 00:33:41,120 --> 00:33:43,560 Speaker 1: the same time, you know, you've got cases going up. 557 00:33:43,640 --> 00:33:46,800 Speaker 1: So I don't know logistically how it works, but there's 558 00:33:46,800 --> 00:33:49,240 Speaker 1: going to be continued political pressure and they're gonna have 559 00:33:49,320 --> 00:33:52,800 Speaker 1: to figure something out and move past sort of um, 560 00:33:52,840 --> 00:33:54,920 Speaker 1: you know, the pastoring that's been taking place thus far. 561 00:33:55,000 --> 00:33:57,760 Speaker 1: I just don't see, um, you know, how that happens. 562 00:33:57,800 --> 00:34:00,360 Speaker 1: And and I think at some point too, there will 563 00:34:00,400 --> 00:34:02,640 Speaker 1: be even more debate I think about you know the 564 00:34:02,720 --> 00:34:05,440 Speaker 1: size of these stimulus passages. I mean, I think at 565 00:34:05,480 --> 00:34:08,239 Speaker 1: this point where a four trillion dollars if you you know, 566 00:34:08,360 --> 00:34:11,360 Speaker 1: count grants and things like that. Um, you know, the 567 00:34:11,440 --> 00:34:13,920 Speaker 1: other brack War in total was two trillion, So I mean, 568 00:34:13,920 --> 00:34:15,759 Speaker 1: I know that's already being discussed a little bit, but 569 00:34:15,840 --> 00:34:18,520 Speaker 1: as the numbers took up, the discussion will continue. This 570 00:34:18,560 --> 00:34:21,279 Speaker 1: is such a great panel because you've got a Republican 571 00:34:21,320 --> 00:34:24,719 Speaker 1: and a Democrat who are actually talking facts and figures 572 00:34:24,760 --> 00:34:28,000 Speaker 1: and policy and not just the talking points. This is 573 00:34:28,040 --> 00:34:31,879 Speaker 1: my kind of show. Barada Shirley Market down. We gotta 574 00:34:31,960 --> 00:34:35,480 Speaker 1: have this panel because in these crazy times, I mean, 575 00:34:35,560 --> 00:34:38,800 Speaker 1: it's just yeah, you mentioned the market today, let's just 576 00:34:38,800 --> 00:34:41,879 Speaker 1: do a quick market check. Uh Tex shares rose after 577 00:34:41,920 --> 00:34:45,600 Speaker 1: Advanced micro Devices announced a thirty five billion dollar takeover 578 00:34:45,680 --> 00:34:48,840 Speaker 1: of another chip maker, helping to blunt concern about the 579 00:34:48,880 --> 00:34:52,880 Speaker 1: impact of growing coronavirus infections. Oil climbed. The tech strength 580 00:34:53,040 --> 00:34:56,360 Speaker 1: wasn't enough to be with the specks, which declined for 581 00:34:56,400 --> 00:34:59,760 Speaker 1: a second straight day, almost four stock spell for every 582 00:34:59,760 --> 00:35:03,280 Speaker 1: one that rose, with banks bearing the brunt of selling lester. 583 00:35:03,400 --> 00:35:08,680 Speaker 1: Earlier in the program, we had we had John Author's on, 584 00:35:08,719 --> 00:35:11,120 Speaker 1: who's a senior markets editor. He spent like twenty nine 585 00:35:11,200 --> 00:35:15,440 Speaker 1: years basically like almost my entire life at the Financial Times. 586 00:35:16,200 --> 00:35:19,399 Speaker 1: Uh and just was the I mean, I was kind 587 00:35:19,440 --> 00:35:22,520 Speaker 1: of a little bit speeking out, like the nerd in 588 00:35:22,560 --> 00:35:25,280 Speaker 1: me couldn't believe I was speaking to John Author's about 589 00:35:25,760 --> 00:35:29,000 Speaker 1: about the markets. But anyway, his whole point on Bloomberg 590 00:35:29,000 --> 00:35:33,080 Speaker 1: Opinion with with he calls it, I love this. Get 591 00:35:33,080 --> 00:35:37,400 Speaker 1: ready for a nerd joke. Covix nineteen Volatility is back. 592 00:35:37,800 --> 00:35:40,840 Speaker 1: Monday saw the Vixen next, which tracks how investors spend 593 00:35:41,239 --> 00:35:44,720 Speaker 1: to hedge against volatility and options markets jump above thirty 594 00:35:45,040 --> 00:35:47,400 Speaker 1: for the first time since the brief but violent correction 595 00:35:47,520 --> 00:35:51,200 Speaker 1: for the fang stocks in early September. I bring this up, Lester, 596 00:35:52,400 --> 00:35:56,560 Speaker 1: because we're talking about fiscal stimulus. Obviously we're a week 597 00:35:56,600 --> 00:36:03,040 Speaker 1: out from the election, and now you've got this virus 598 00:36:03,080 --> 00:36:06,719 Speaker 1: and the resurgence of it, and it's it's resurging. Not 599 00:36:06,880 --> 00:36:12,640 Speaker 1: just in the United States, folks, it's the hospital hospitalizations 600 00:36:13,239 --> 00:36:17,120 Speaker 1: are up just as dramatically in Europe, in liberal Europe 601 00:36:17,160 --> 00:36:20,640 Speaker 1: and conservative Europe, all over Europe and here in the 602 00:36:20,719 --> 00:36:25,440 Speaker 1: United States. So Leicester, this volatility is back with a boom, 603 00:36:25,480 --> 00:36:28,960 Speaker 1: and fiscal stimulus might be able to provide some certainty. 604 00:36:29,040 --> 00:36:36,120 Speaker 1: Does Washington understand that Yeah, great again, great question. As 605 00:36:36,239 --> 00:36:41,120 Speaker 1: as we've discussed, there's this expectation that this issue will 606 00:36:41,160 --> 00:36:43,319 Speaker 1: be sorted out in the lame duck. There's a good 607 00:36:43,360 --> 00:36:46,880 Speaker 1: right to believe that's true. We've seen, we've seen in 608 00:36:47,000 --> 00:36:51,040 Speaker 1: years past Congress and the President makes some tough decisions 609 00:36:51,040 --> 00:36:53,080 Speaker 1: in lame duck that they didn't necessarily want to make 610 00:36:53,440 --> 00:36:56,640 Speaker 1: during a campaign. So once the campaigns over, a lot 611 00:36:56,640 --> 00:37:01,080 Speaker 1: of and you can and you can do something, You're right. 612 00:37:01,160 --> 00:37:03,799 Speaker 1: The numbers are going up here and in Europe there's 613 00:37:03,800 --> 00:37:07,960 Speaker 1: a need. I think there's anything, and there's an expectation. 614 00:37:08,040 --> 00:37:10,040 Speaker 1: Let's leave it there. In return, I'm Kevin Sireli. This 615 00:37:10,040 --> 00:37:16,360 Speaker 1: is Bloomberg ninety nine one. You're listening to Bloomberg Sound 616 00:37:16,400 --> 00:37:20,399 Speaker 1: On with Kevin Surrel on Bloomberg and one oh five 617 00:37:20,440 --> 00:37:23,720 Speaker 1: point seven f M h D two. I'm Kevin Cirelli, 618 00:37:23,840 --> 00:37:26,680 Speaker 1: Chief Washington Correspondent, FRO Bloomberg Television and from Bloomberg Radio. 619 00:37:26,719 --> 00:37:31,200 Speaker 1: We're joined by the Congresswoman Abigail Spamburger. She is a 620 00:37:31,239 --> 00:37:38,000 Speaker 1: Democrat serving in UH Virginia's seventh congressional district. Richmond Folks 621 00:37:38,120 --> 00:37:42,120 Speaker 1: Uh flipped Dave Bratt's district, Remember him, Dave Bratt flipped it. 622 00:37:42,360 --> 00:37:45,359 Speaker 1: She got it. Now she's up against Nick Freda's free 623 00:37:45,400 --> 00:37:50,040 Speaker 1: toss the Republican challenger in that district Congress. When we 624 00:37:50,080 --> 00:37:52,520 Speaker 1: gotta talk policy. Thrilled to have you back on the program, 625 00:37:52,560 --> 00:37:54,960 Speaker 1: but I gotta ask you, what's been your what is 626 00:37:55,000 --> 00:38:00,040 Speaker 1: the best slash weirdest part of campaigning? Fredas set of 627 00:38:00,120 --> 00:38:03,120 Speaker 1: wrong Nick Fredus is the revoltan. What's been the best 628 00:38:03,280 --> 00:38:09,520 Speaker 1: part of campaigning? Are the most fun? Stop while you're 629 00:38:09,520 --> 00:38:13,520 Speaker 1: out on the trail, as they say, well, you know, 630 00:38:14,080 --> 00:38:17,920 Speaker 1: it's been a totally different campaign this year because of COVID, 631 00:38:18,080 --> 00:38:22,560 Speaker 1: because of the precautions. Typically, where I really love to 632 00:38:22,600 --> 00:38:25,680 Speaker 1: be campaigning is at events where people aren't expecting it 633 00:38:25,719 --> 00:38:29,280 Speaker 1: to be political, at parades and at fairs and places 634 00:38:29,280 --> 00:38:32,319 Speaker 1: where you just get to meet people, um outside of 635 00:38:32,520 --> 00:38:35,759 Speaker 1: a campaign event. And most of those events have have 636 00:38:35,880 --> 00:38:39,960 Speaker 1: been canceled this year. So I'll I'll say that we 637 00:38:40,080 --> 00:38:42,280 Speaker 1: you know what, we've done a variety of different events 638 00:38:42,920 --> 00:38:45,839 Speaker 1: in person, socially distanced with mass. I think one of 639 00:38:45,840 --> 00:38:50,160 Speaker 1: the the interesting parts about campaigning during a pandemic is 640 00:38:50,200 --> 00:38:52,960 Speaker 1: all the zoom events and round tables and discussions that 641 00:38:53,000 --> 00:38:55,720 Speaker 1: we've done and you get to peek into people's lives 642 00:38:55,800 --> 00:38:59,279 Speaker 1: and homes and uh, you know, I think that that 643 00:38:59,520 --> 00:39:04,879 Speaker 1: there's a a certain real departure from typical campaigning when 644 00:39:04,920 --> 00:39:08,239 Speaker 1: you get to see people's bookshelves and family portraits on 645 00:39:08,239 --> 00:39:12,960 Speaker 1: the wall, and also can be all yeah, you know, 646 00:39:13,600 --> 00:39:16,239 Speaker 1: I mean for me, I'm on all these zooms or 647 00:39:16,280 --> 00:39:18,239 Speaker 1: whatever they're calling, you know, and you're on all these 648 00:39:18,320 --> 00:39:21,360 Speaker 1: meetings all day long, the virtual Congress, and Abigail spandburgers 649 00:39:21,400 --> 00:39:24,320 Speaker 1: with us giving us a fascinating glimpse of a virtual campaign, 650 00:39:24,600 --> 00:39:27,320 Speaker 1: and you're you're like hooked. You're like, what are they reading? 651 00:39:27,440 --> 00:39:30,960 Speaker 1: Or who thought that framing that picture was a good idea? 652 00:39:31,400 --> 00:39:33,120 Speaker 1: You know what I mean? Like what were they wearing? 653 00:39:33,640 --> 00:39:37,200 Speaker 1: Because the reporter and just as all these questions about 654 00:39:37,239 --> 00:39:39,279 Speaker 1: their backdrop, and then you put the TV corpspot it 655 00:39:39,320 --> 00:39:41,000 Speaker 1: in me and like it. They don't have good lighting. 656 00:39:41,239 --> 00:39:43,400 Speaker 1: They don't have good lighting, they don't have Christine Barrata 657 00:39:43,760 --> 00:39:47,560 Speaker 1: telling them what to do. Congresswoman, You've also got three kids, 658 00:39:47,600 --> 00:39:50,399 Speaker 1: and I gotta be honest, you know, how's that are 659 00:39:50,400 --> 00:39:54,120 Speaker 1: they virtually learning? Yeah? So all three of my kids 660 00:39:54,560 --> 00:39:57,000 Speaker 1: got a first grader, fourth grader, and a seventh grader. 661 00:39:57,040 --> 00:40:01,040 Speaker 1: They're all in virtual school, um by the time, and 662 00:40:01,080 --> 00:40:05,399 Speaker 1: we're my kids are in school in Henrico County public schools, 663 00:40:05,480 --> 00:40:08,600 Speaker 1: and um, you know, they've done a tremendous job of adjusting. 664 00:40:08,800 --> 00:40:11,600 Speaker 1: The hats off to their teachers or who have just 665 00:40:11,640 --> 00:40:15,400 Speaker 1: been incredible and so um my my kids have adjusted 666 00:40:15,840 --> 00:40:17,800 Speaker 1: I think fairly well. Of course, you know, they missed 667 00:40:17,800 --> 00:40:21,600 Speaker 1: the normalcy of school and everything, but um, I've certainly 668 00:40:21,600 --> 00:40:24,880 Speaker 1: been just so impressed at how my children's teachers have 669 00:40:24,920 --> 00:40:29,640 Speaker 1: adapted and have made school engaging even in a virtual scenario. 670 00:40:29,840 --> 00:40:34,160 Speaker 1: This is so important because this, you know, for virtual learning. 671 00:40:34,320 --> 00:40:39,360 Speaker 1: It's just there's such a digital divide in this country 672 00:40:41,920 --> 00:40:44,799 Speaker 1: about that and you know, yeah, I mean, but tell 673 00:40:44,880 --> 00:40:48,280 Speaker 1: us about this and put it in the perspective, congresswoman 674 00:40:48,840 --> 00:40:52,000 Speaker 1: of kids trying to learn and virtual learning. Go ahead. 675 00:40:52,920 --> 00:40:56,960 Speaker 1: So I represent tenn counties through Central Virginia. We started 676 00:40:56,960 --> 00:40:58,680 Speaker 1: in Culpepper in the northern portion of the district and 677 00:40:58,719 --> 00:41:03,720 Speaker 1: stretched down to not Awake County. Um and I uh, 678 00:41:03,880 --> 00:41:06,880 Speaker 1: those ten counties in total have have made very distinct 679 00:41:06,880 --> 00:41:12,440 Speaker 1: decisions about how they handle the return to school because, um, 680 00:41:12,480 --> 00:41:15,320 Speaker 1: you know, in some of our counties a third of 681 00:41:15,400 --> 00:41:17,719 Speaker 1: kids don't have internet at home and it it is 682 00:41:17,800 --> 00:41:20,000 Speaker 1: literally because where they live in the county, there is 683 00:41:20,040 --> 00:41:22,640 Speaker 1: no ability to have internet in the home. Uh So 684 00:41:22,800 --> 00:41:25,600 Speaker 1: schools have been attempting to adapt UM. Some of the 685 00:41:25,600 --> 00:41:28,399 Speaker 1: school districts I represent have done hybrid versions where kids 686 00:41:28,400 --> 00:41:30,480 Speaker 1: are back a couple of days and at home off 687 00:41:30,480 --> 00:41:32,800 Speaker 1: for the remainder of the time, so that they can 688 00:41:32,800 --> 00:41:35,880 Speaker 1: come home with some drives loaded up with the information 689 00:41:35,880 --> 00:41:38,240 Speaker 1: that they're going to need UM. And it's it's pretty 690 00:41:38,239 --> 00:41:41,640 Speaker 1: extraordinary and so so difficult to the types of choices 691 00:41:41,680 --> 00:41:45,480 Speaker 1: administrators and educators are making because of the lack of 692 00:41:45,520 --> 00:41:48,960 Speaker 1: broadband infrastructure that exists in their community. Um, you know. 693 00:41:49,000 --> 00:41:52,879 Speaker 1: And this is not an issue of UM affordability, which 694 00:41:52,920 --> 00:41:56,640 Speaker 1: of course is a substantial issue of in many many places. 695 00:41:56,680 --> 00:41:59,080 Speaker 1: But this is not the type of uh you know 696 00:42:00,360 --> 00:42:03,160 Speaker 1: problem where it can be fixed with a WiFi hotspot, 697 00:42:03,239 --> 00:42:05,520 Speaker 1: because you know, many of the places in my district 698 00:42:05,600 --> 00:42:08,320 Speaker 1: that don't have access to broadband internet literally you cannot 699 00:42:08,360 --> 00:42:10,399 Speaker 1: have internet installed in your house, no matter how much 700 00:42:10,400 --> 00:42:12,839 Speaker 1: you want to pay for it also have typically pretty 701 00:42:12,880 --> 00:42:15,959 Speaker 1: poor cell service and so you know, we see kids 702 00:42:15,960 --> 00:42:19,960 Speaker 1: who going to McDonald's parking lots. Uh you know, schools 703 00:42:20,000 --> 00:42:22,759 Speaker 1: will have their WiFi open, so kids and families are 704 00:42:22,800 --> 00:42:25,799 Speaker 1: sitting in parking lots. Um. And particularly during the early 705 00:42:25,880 --> 00:42:28,960 Speaker 1: days of the pandemic, when public libraries were closed and 706 00:42:29,000 --> 00:42:31,800 Speaker 1: schools were closed, you know, all of these ways that 707 00:42:31,800 --> 00:42:35,879 Speaker 1: that kids and families and communities without access had adapted. Um, 708 00:42:36,000 --> 00:42:38,000 Speaker 1: we're just not open to them because you you can't 709 00:42:38,000 --> 00:42:42,160 Speaker 1: go to the McDonald's during a pandemic to do uh um, 710 00:42:42,480 --> 00:42:47,239 Speaker 1: to do your homework. So I mean, it's it's it's significant. 711 00:42:47,280 --> 00:42:49,320 Speaker 1: And this is why I mean, since I got to Congress, 712 00:42:50,080 --> 00:42:54,640 Speaker 1: issues of broadband connectivity, which is really just necessary infrastructure 713 00:42:55,160 --> 00:42:57,959 Speaker 1: um and and an important utility, the same way elect 714 00:42:58,000 --> 00:43:00,359 Speaker 1: city was you know a century ago, and we were 715 00:43:00,840 --> 00:43:04,399 Speaker 1: verging towards having connected communities and rural communities where there 716 00:43:04,440 --> 00:43:07,279 Speaker 1: just isn't a business interest to connect in the same 717 00:43:07,280 --> 00:43:09,360 Speaker 1: way that you do in the suburbs or more um, 718 00:43:09,680 --> 00:43:15,000 Speaker 1: densely populated communities. And it's but but the pandemic made 719 00:43:15,000 --> 00:43:17,160 Speaker 1: it so that you know, I'm getting asked about it 720 00:43:17,160 --> 00:43:19,640 Speaker 1: on Bloomberg Radio. Well, but it's so but it's so 721 00:43:19,680 --> 00:43:24,160 Speaker 1: incredibly But Congressman Spamburger Congressroman Abigail Spanenburger's with us. She is, 722 00:43:24,200 --> 00:43:27,400 Speaker 1: of course a Democrat from Virginia's seventh Congressional district, Richmond area. 723 00:43:27,800 --> 00:43:31,440 Speaker 1: And it's so incredibly, incredibly important my friends over at 724 00:43:31,520 --> 00:43:34,680 Speaker 1: DC scores. I mean just from there they do soccer 725 00:43:34,719 --> 00:43:38,600 Speaker 1: and youth literacy programs. I mean, just from their vantage 726 00:43:38,600 --> 00:43:41,399 Speaker 1: point of just kids not being able to play. I mean, 727 00:43:41,440 --> 00:43:43,440 Speaker 1: and just and you think about that and that they 728 00:43:43,440 --> 00:43:46,520 Speaker 1: don't have they don't have Internet. I mean, it's just 729 00:43:46,680 --> 00:43:48,799 Speaker 1: it's and it's something. And this is the last question 730 00:43:48,800 --> 00:43:50,520 Speaker 1: I have for you. We got two minutes yet left 731 00:43:50,520 --> 00:43:53,879 Speaker 1: and up against a hard heartbreak. But Congressman Spanberger, I mean, 732 00:43:53,920 --> 00:43:57,200 Speaker 1: it's something that rural communities and more and and city 733 00:43:57,239 --> 00:44:00,319 Speaker 1: communities have in common. So it's something may be that 734 00:44:00,360 --> 00:44:05,080 Speaker 1: there could be some some bipartisanship on. You would think, 735 00:44:05,120 --> 00:44:06,960 Speaker 1: in fact, we had a bill or we have a bill, 736 00:44:07,040 --> 00:44:10,399 Speaker 1: the Accessible Affordable Internet for All Acts, which gets right 737 00:44:10,440 --> 00:44:12,840 Speaker 1: at this issue, which is, you know, in rural communities, 738 00:44:12,840 --> 00:44:15,520 Speaker 1: the issue is you can't get Internet. It's just not there, 739 00:44:15,960 --> 00:44:19,240 Speaker 1: the fibers not not laid out, there's not a commercial 740 00:44:19,280 --> 00:44:22,759 Speaker 1: interest there. Um and in some areas there it may 741 00:44:22,760 --> 00:44:26,240 Speaker 1: be there, but the affordability becomes a question. UM. And 742 00:44:26,239 --> 00:44:28,240 Speaker 1: and so you know that has been a major focus 743 00:44:28,239 --> 00:44:30,759 Speaker 1: of mine. We introduced a bill over the summer. I'm 744 00:44:30,800 --> 00:44:34,400 Speaker 1: a part of the Rural Broadband task Force, UM. And 745 00:44:34,440 --> 00:44:37,120 Speaker 1: it passed through the House with our Larger Infrastructure Bill, 746 00:44:37,160 --> 00:44:39,680 Speaker 1: which you know, as long as the United States consenters 747 00:44:39,719 --> 00:44:43,000 Speaker 1: continues to have such poor ratings on our nation's infrastructure, 748 00:44:43,040 --> 00:44:45,520 Speaker 1: it's going to be vitally important that we aggressively pursue 749 00:44:45,520 --> 00:44:49,719 Speaker 1: that in the new Congress. UM. And what we did 750 00:44:49,800 --> 00:44:53,280 Speaker 1: was ensure that broadband infrastructure is part of the larger 751 00:44:53,320 --> 00:44:56,600 Speaker 1: infrastructure discussion that it passed as part of the bill 752 00:44:56,719 --> 00:44:59,959 Speaker 1: that we passed over the summer, which garnered bipartisans SUP. 753 00:45:00,120 --> 00:45:03,640 Speaker 1: But of course, UM did not move forward in the Senate. 754 00:45:04,719 --> 00:45:08,480 Speaker 1: It's just remarkable. It's just remarkable. All right, final, final 755 00:45:08,600 --> 00:45:12,120 Speaker 1: sixty seconds. What is what is Richmond most famous for? 756 00:45:12,239 --> 00:45:19,160 Speaker 1: Congresswoman Spamburger? Oh, goodness, UM, I would say our rainbow cookies. 757 00:45:20,239 --> 00:45:25,200 Speaker 1: Rainbow cookie I'm hungry anyway, I hope my consion disagree. UM. 758 00:45:25,239 --> 00:45:27,960 Speaker 1: If you grew up in the Richmond suburbs of Finracco 759 00:45:27,960 --> 00:45:31,799 Speaker 1: and Schutfield, which is uh in my district. Then you 760 00:45:31,800 --> 00:45:35,320 Speaker 1: would have threw half grown up on you crops Rainbow cookies, 761 00:45:35,320 --> 00:45:37,720 Speaker 1: which are just like they found. They are little cookies 762 00:45:37,760 --> 00:45:42,759 Speaker 1: that have rainbow colors. They are quite delicious, Kevin, They 763 00:45:42,760 --> 00:45:45,640 Speaker 1: are quite delicious. All right, Philly's got cheese steaks, Richmond's 764 00:45:45,640 --> 00:45:48,120 Speaker 1: got rainbow cookies. I love it. No, seriously, you think 765 00:45:48,120 --> 00:45:51,160 Speaker 1: of kidding? Tell the staff I want some rainbow cookies. 766 00:45:51,160 --> 00:45:54,840 Speaker 1: My many many thanks to Congressman Abigail Spamburger. That was 767 00:45:55,080 --> 00:45:57,640 Speaker 1: That was a fun one. Congressman. I appreciate I really 768 00:45:57,680 --> 00:46:00,840 Speaker 1: really appreciate your time today and diving into policy, folks. 769 00:46:00,880 --> 00:46:03,719 Speaker 1: We can still do it. We can still have a policy, 770 00:46:03,840 --> 00:46:10,120 Speaker 1: a substantial policy conversation, even a week out from election day. 771 00:46:10,200 --> 00:46:13,239 Speaker 1: And yes, also talk about some cookies. Cargo from an 772 00:46:13,239 --> 00:46:18,440 Speaker 1: Abigails Boomburger, a Democrat from Virginia's seven congressional district. Richmond 773 00:46:18,480 --> 00:46:22,040 Speaker 1: is beautiful this time of year. Download the download the 774 00:46:22,040 --> 00:46:24,760 Speaker 1: Bloomberg's Out On podcast on Apple it dudes a Bloomberg 775 00:46:24,840 --> 00:46:27,560 Speaker 1: dot Com, or by downloading the Bloomberg Business App. You 776 00:46:27,600 --> 00:46:30,399 Speaker 1: can also find me on radio dot com, I Heart 777 00:46:30,480 --> 00:46:33,719 Speaker 1: Radio and Spotify. My name is Kevin Silli. You're listening 778 00:46:33,760 --> 00:46:59,440 Speaker 1: to Bloomberg nine and nine one. This is Bloomberg Sound 779 00:46:59,560 --> 00:47:04,080 Speaker 1: On with Kevin Shirley on Bloomberg and one oh five 780 00:47:04,160 --> 00:47:07,760 Speaker 1: point seven m h D two. My name is Kevin SERELLI. 781 00:47:07,840 --> 00:47:10,840 Speaker 1: I'm the chief Washington correspondent for Bloomberg Television for Bloomberg 782 00:47:10,920 --> 00:47:13,919 Speaker 1: RADI help now, I want cookies for dinner. Corners Omen 783 00:47:13,960 --> 00:47:17,759 Speaker 1: Spamburger telling us about Richmond, the Rainbow cookies in Richmond. Yeah. 784 00:47:17,800 --> 00:47:21,840 Speaker 1: When I was a kid, my late great grandmother, Mama Marelda, 785 00:47:22,239 --> 00:47:25,200 Speaker 1: Italian side of the family, she would always bake me, uh, 786 00:47:25,440 --> 00:47:27,960 Speaker 1: Italian hard rock cookies. Any Italians out there, you know 787 00:47:28,000 --> 00:47:29,400 Speaker 1: what a hard rock cookie is. You know it's like 788 00:47:29,480 --> 00:47:32,680 Speaker 1: the size of the grapefruit, pound of butter, pound of sugar. 789 00:47:32,719 --> 00:47:35,239 Speaker 1: I'm exaggerating, and then they put this glaze on it. 790 00:47:35,400 --> 00:47:38,920 Speaker 1: She'd bake him for me every birthday. Italian hard rock 791 00:47:38,960 --> 00:47:44,320 Speaker 1: cookies my favorite, my favorite cookie. Um. Who's with me? 792 00:47:44,440 --> 00:47:47,719 Speaker 1: Lester monson Principal a Government relations from b GR Group. 793 00:47:47,840 --> 00:47:51,279 Speaker 1: Do you ever have an Italian hard rock? Lester? No, 794 00:47:51,680 --> 00:47:54,560 Speaker 1: I have, not my favorite with seven layer bars, but 795 00:47:54,719 --> 00:47:57,880 Speaker 1: my mom will make way back in the day, coconut peanut, 796 00:47:57,920 --> 00:48:00,840 Speaker 1: butter and chocolate, all kinds of good stuff. Yes, that 797 00:48:01,120 --> 00:48:04,880 Speaker 1: sounds amazing, Mark Poston Democratic Strategists. Do you ever have 798 00:48:04,880 --> 00:48:07,239 Speaker 1: an Italian hard rock or a seven layer cookie or 799 00:48:07,640 --> 00:48:13,680 Speaker 1: or or a rainbow cookie from Richmond? No, My my 800 00:48:13,760 --> 00:48:16,920 Speaker 1: grandmother used to make chocolate chip and peanut butter chip cookies, 801 00:48:17,000 --> 00:48:19,640 Speaker 1: and uh, those are all those were always the best 802 00:48:19,719 --> 00:48:22,520 Speaker 1: stracks from mid Left. Oh, that's what I want. All right. Now, 803 00:48:22,680 --> 00:48:26,000 Speaker 1: it's time now for what is on the Panel's radar? 804 00:48:26,040 --> 00:48:28,120 Speaker 1: It's my favorite part of the show. What is on 805 00:48:28,200 --> 00:48:31,239 Speaker 1: the panel's radar. Let's get focused, let's get reset, Let's 806 00:48:31,280 --> 00:48:34,640 Speaker 1: finish the race. There's only a week left. Lester Mundson, 807 00:48:34,920 --> 00:48:39,840 Speaker 1: what is on your radar? Kevin? I'm watching you know 808 00:48:40,200 --> 00:48:47,640 Speaker 1: a different international crises that are going on media. Azerbaijan, Uh, 809 00:48:47,840 --> 00:48:53,160 Speaker 1: the Egyptians and Ethiopia over this gird damn on the Nile. 810 00:48:53,760 --> 00:48:55,799 Speaker 1: There's a lot of other things going on in the world. 811 00:48:55,840 --> 00:48:58,160 Speaker 1: The world keeps spinning, and while we're all focused on 812 00:48:58,239 --> 00:49:02,960 Speaker 1: our political issue and campaigns, other folks are moving and 813 00:49:03,640 --> 00:49:06,680 Speaker 1: might be taken advantage of our interttention Alright, well, talk 814 00:49:06,719 --> 00:49:09,480 Speaker 1: to me about Azerbaijan, because there's been. The developments on 815 00:49:09,520 --> 00:49:12,520 Speaker 1: this front have changed virtually every day. Why should Americans 816 00:49:12,600 --> 00:49:16,759 Speaker 1: care lester months in about what's happening in Azerbaijan. Well, 817 00:49:16,840 --> 00:49:20,120 Speaker 1: it's a sensitive region. You know, these are countries basically 818 00:49:20,200 --> 00:49:24,799 Speaker 1: between Iran and Russia. It's been relatively peaceful for a while. 819 00:49:24,960 --> 00:49:28,560 Speaker 1: Now it's not so peaceful. The President has been making 820 00:49:28,640 --> 00:49:33,320 Speaker 1: comments on it on a fairly regular basis, while his 821 00:49:33,480 --> 00:49:36,719 Speaker 1: diplomats are out there trying to tamp down on things. 822 00:49:36,800 --> 00:49:39,640 Speaker 1: There was a ceasefire that URS did not have worked 823 00:49:39,719 --> 00:49:44,680 Speaker 1: very well. So anytime road nations like Iran and Russia 824 00:49:44,719 --> 00:49:47,279 Speaker 1: are directly involved in the conflict, we should be paying 825 00:49:47,280 --> 00:49:51,680 Speaker 1: attention precisely, precisely. So what should the policy be lesser? 826 00:49:51,760 --> 00:49:53,719 Speaker 1: I mean, what what does the US need to be 827 00:49:53,840 --> 00:49:58,840 Speaker 1: doing with Azerbaijan. I think the you know, the the 828 00:49:58,880 --> 00:50:03,759 Speaker 1: administration has been working hard. I think you need to 829 00:50:03,800 --> 00:50:06,840 Speaker 1: see better alignment between what the President is saying and 830 00:50:06,960 --> 00:50:08,920 Speaker 1: what his diplomats are saying. He tends to kind of 831 00:50:09,040 --> 00:50:10,759 Speaker 1: freelance a little bit and just get out there and 832 00:50:10,880 --> 00:50:13,960 Speaker 1: start shooting from the hip to make the crowds happy. 833 00:50:14,360 --> 00:50:18,560 Speaker 1: That's not necessarily helpful when it comes to complex diplomacy. Okay, 834 00:50:18,760 --> 00:50:20,600 Speaker 1: all right, So that's what's on your That's what's on 835 00:50:20,719 --> 00:50:26,480 Speaker 1: Lester's radar. Um, what is on your radar? Uh, it's 836 00:50:26,480 --> 00:50:28,520 Speaker 1: a good question. I think one of the things I've 837 00:50:28,560 --> 00:50:30,879 Speaker 1: been trying to track is there's a couple of news 838 00:50:30,960 --> 00:50:34,440 Speaker 1: reports back in it was April where the RNC was, 839 00:50:34,640 --> 00:50:38,600 Speaker 1: you know, doing its largest ever vote anti voter fraud effort, 840 00:50:38,640 --> 00:50:41,920 Speaker 1: and I say voter fraud and sort of quotations. You know, 841 00:50:41,960 --> 00:50:46,240 Speaker 1: they're spending millions of dollars recruiting and training their activists 842 00:50:46,280 --> 00:50:48,920 Speaker 1: to basically act as poll monitors, and they were targeting 843 00:50:48,920 --> 00:50:52,680 Speaker 1: about fifteen thousand UM folks across fifteen different key states, 844 00:50:52,840 --> 00:50:56,200 Speaker 1: and so you know their goal is to challenge ballots 845 00:50:56,840 --> 00:51:00,360 Speaker 1: um and basically just I mean in essence of clog 846 00:51:00,440 --> 00:51:02,480 Speaker 1: up the system on election day. And I think one 847 00:51:02,520 --> 00:51:04,480 Speaker 1: thing that I'm looking at, which i I'm not I 848 00:51:04,520 --> 00:51:06,480 Speaker 1: haven't seen a lot of coverage of, is you know, 849 00:51:06,640 --> 00:51:08,480 Speaker 1: if you have a lot of first time poll workers, 850 00:51:08,600 --> 00:51:11,759 Speaker 1: because historically poll workers tend to be older, and if 851 00:51:11,800 --> 00:51:14,160 Speaker 1: they don't want to come out due to COVID UM, 852 00:51:14,239 --> 00:51:16,400 Speaker 1: you're gonna have a lot of first time poll workers UM. 853 00:51:16,680 --> 00:51:19,600 Speaker 1: And then a bunch of progressive GOP activists who are 854 00:51:19,600 --> 00:51:21,799 Speaker 1: going to be challenging everything, and the first time poll 855 00:51:21,840 --> 00:51:25,480 Speaker 1: workers may not be you know, um uh, you know, 856 00:51:25,719 --> 00:51:28,200 Speaker 1: well acquainted with the rules. So I think that's something 857 00:51:28,320 --> 00:51:30,160 Speaker 1: that I think is going to be important to watch. 858 00:51:30,280 --> 00:51:32,960 Speaker 1: Especially it's gonna be like an open outside group. It's 859 00:51:32,960 --> 00:51:35,000 Speaker 1: gonna be like an open runway. You know. I've been 860 00:51:35,040 --> 00:51:37,920 Speaker 1: flying a little bit socially distant, you know, taking my 861 00:51:38,000 --> 00:51:40,960 Speaker 1: COVID test and what not here for the debates, and 862 00:51:41,480 --> 00:51:43,120 Speaker 1: it's like, no one's a t S. I mean, the 863 00:51:43,680 --> 00:51:45,200 Speaker 1: people who work at t S are there, but there's 864 00:51:45,200 --> 00:51:47,520 Speaker 1: no lines at the at the the c S A 865 00:51:47,640 --> 00:51:50,960 Speaker 1: lines because no, it's flying. I mean when this is 866 00:51:51,000 --> 00:51:52,840 Speaker 1: what's on my radar. And I think it kind of 867 00:51:53,160 --> 00:51:57,000 Speaker 1: piggybacks off of Marks a little bit Mark Niquette's Mark 868 00:51:57,040 --> 00:51:59,880 Speaker 1: post about but our my colleague, Mark Niquette writes on 869 00:52:00,000 --> 00:52:04,040 Speaker 1: the terminal, Americans have already cast half the total votes 870 00:52:04,160 --> 00:52:08,279 Speaker 1: counted in sixteen as voters show intense enthusiasm and take 871 00:52:08,320 --> 00:52:12,840 Speaker 1: precautions against the coronavirus pandemics. With seven days left to 872 00:52:12,920 --> 00:52:17,720 Speaker 1: go until election day, sixty nine point five million early 873 00:52:17,880 --> 00:52:21,720 Speaker 1: votes have been cast as of Tuesday afternoon, fifty point 874 00:52:21,800 --> 00:52:25,840 Speaker 1: four percent of the total turnout from two thousand and sixteen. 875 00:52:25,960 --> 00:52:29,560 Speaker 1: This is according to the US Elections Project, which tracks 876 00:52:29,640 --> 00:52:33,040 Speaker 1: early voting that includes a forty six point three million 877 00:52:33,480 --> 00:52:36,479 Speaker 1: votes cast by mail in ballots and twenty three point 878 00:52:36,560 --> 00:52:40,080 Speaker 1: one million in person votes. There were forty seven point 879 00:52:40,160 --> 00:52:44,879 Speaker 1: two million early votes cast in all the I don't 880 00:52:44,880 --> 00:52:48,520 Speaker 1: know to say this, six seventy million, seventy million people 881 00:52:48,560 --> 00:52:52,759 Speaker 1: have already voted in this election. That's half half of 882 00:52:52,880 --> 00:52:57,719 Speaker 1: what the total turnout was last cycle. It's this is 883 00:52:57,800 --> 00:53:00,400 Speaker 1: where I think we've got to really pay a tension. 884 00:53:00,719 --> 00:53:05,120 Speaker 1: The states with the highest percentage of its total vote 885 00:53:05,120 --> 00:53:13,960 Speaker 1: already cast so far our Texas, Montana, and North Carolina. WOW. Nationwide, 886 00:53:14,040 --> 00:53:16,719 Speaker 1: voters will not only be sent an unprecedented number of 887 00:53:16,760 --> 00:53:20,640 Speaker 1: mail ballots, they are returning them sooner than in past elections. 888 00:53:20,920 --> 00:53:24,520 Speaker 1: This according to a top University of Florida professor Michael McDonald, 889 00:53:24,520 --> 00:53:29,719 Speaker 1: who runs the Elections Project UH this is remarkable. Of 890 00:53:29,840 --> 00:53:33,400 Speaker 1: the more than thirty three million ballots already cast in 891 00:53:33,560 --> 00:53:39,360 Speaker 1: states that report party registration, Democrats account for forty eight percent, 892 00:53:40,000 --> 00:53:47,560 Speaker 1: Republicans WOW, and those with no party affiliation in the 893 00:53:47,640 --> 00:53:51,880 Speaker 1: battleground state of Pennsylvania, which has the highest odds of 894 00:53:51,960 --> 00:53:54,680 Speaker 1: any state of being the tipping point in the election. 895 00:53:55,960 --> 00:54:00,759 Speaker 1: One point eight five million of the more than three 896 00:54:00,840 --> 00:54:03,799 Speaker 1: million and mail and ballots requested have been have been 897 00:54:03,880 --> 00:54:09,640 Speaker 1: returned so far, with Democrats accounting for sixty and Republicans. 898 00:54:11,239 --> 00:54:15,880 Speaker 1: We knew, We knew the Democrats were more likely to 899 00:54:16,080 --> 00:54:20,680 Speaker 1: return their ballots via mail. The question is, folks, this 900 00:54:20,840 --> 00:54:25,680 Speaker 1: is the question. Will those individuals are their new voters 901 00:54:26,200 --> 00:54:31,439 Speaker 1: in this dynamic, in this equation or did they already vote? 902 00:54:32,600 --> 00:54:35,400 Speaker 1: Was the Biden coalition able to draw in new voters 903 00:54:35,840 --> 00:54:39,640 Speaker 1: first time voters, get people to show up who didn't 904 00:54:39,640 --> 00:54:42,600 Speaker 1: show up last time. That's what we don't know, and 905 00:54:42,719 --> 00:54:45,840 Speaker 1: that's why you're seeing President Trump hold three rallies, No 906 00:54:46,040 --> 00:54:50,480 Speaker 1: one not to three rallies in the battleground state of Pennsylvania, 907 00:54:50,600 --> 00:54:53,600 Speaker 1: state he carried in two thousand and sixteen, the first 908 00:54:53,600 --> 00:54:59,759 Speaker 1: Republican to do so at the presidential levels nineteen nine eight. 909 00:55:00,000 --> 00:55:02,680 Speaker 1: It's so mail and mail and voting very much on 910 00:55:03,320 --> 00:55:06,080 Speaker 1: not just my radar, but the panel's radar as well. 911 00:55:06,160 --> 00:55:10,680 Speaker 1: Mark posted about Democratic strategist Senior Vice president at Rock Solution. 912 00:55:10,800 --> 00:55:13,800 Speaker 1: Of course, the former National Press Secretary of the d 913 00:55:13,960 --> 00:55:18,920 Speaker 1: n C during the presidential campaign. Mark, any parting words 914 00:55:19,000 --> 00:55:23,400 Speaker 1: on that in the minute that I have left with you. Yeah. Seconds. 915 00:55:24,560 --> 00:55:26,640 Speaker 1: I think it's going to be very very interesting. Um 916 00:55:26,960 --> 00:55:28,920 Speaker 1: In at the end of the day. Um, we'll see 917 00:55:28,960 --> 00:55:32,520 Speaker 1: whether the strategy from Vice President Biden, Um, you know, 918 00:55:32,760 --> 00:55:36,200 Speaker 1: to hold more uh sort of zoom and remote events 919 00:55:36,360 --> 00:55:40,080 Speaker 1: versus President Trump showing up in person, whether that will 920 00:55:40,560 --> 00:55:43,160 Speaker 1: you know, change anything, whether that will be the decisive factor. 921 00:55:43,719 --> 00:55:45,680 Speaker 1: All right, Mark, go out there and get yourself a 922 00:55:45,760 --> 00:55:48,320 Speaker 1: seven layer cookie. You two less than months in principle 923 00:55:48,400 --> 00:55:52,120 Speaker 1: of government relations firm b GR Group. Download the Bloomberg 924 00:55:52,160 --> 00:55:54,560 Speaker 1: Sound On podcast on Appalachians and Bloomberg dot com by 925 00:55:54,600 --> 00:55:56,880 Speaker 1: downloading the Bloomberg Business app. You can also find me 926 00:55:57,360 --> 00:56:00,440 Speaker 1: on radio dot com, I Heart Radio and Hodify. My 927 00:56:00,520 --> 00:56:03,480 Speaker 1: thanks to Congresswoman Abigails Bamburger. Of course to John Author 928 00:56:03,520 --> 00:56:06,160 Speaker 1: and Jordan Fabian at the top of the show. My 929 00:56:06,280 --> 00:56:08,880 Speaker 1: name is Kevin CURRELLI I'm the chief Washington correspondent fro 930 00:56:08,880 --> 00:56:11,200 Speaker 1: Bloomberg Television and from Bloomberg Radio. I will catch you 931 00:56:11,320 --> 00:56:14,360 Speaker 1: tomorrow on Bloomberg Surveillance. You're listening to Bloomberg,