1 00:00:00,360 --> 00:00:05,080 Speaker 1: Why from our nations, 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 --> 00:00:11,399 Speaker 1: does this do? From 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 candidates for different vectis. 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 00:00:30,320 --> 00:00:34,800 Speaker 1: Surrelate on Bloomberg and one oh five point seven m 10 00:00:34,960 --> 00:00:37,640 Speaker 1: h D two. The Final Sprint. This is it, the 11 00:00:37,680 --> 00:00:41,199 Speaker 1: final sprint to election day. We've got you covered everything 12 00:00:41,240 --> 00:00:43,440 Speaker 1: you need to know, plus what happened to the markets today, 13 00:00:43,680 --> 00:00:46,520 Speaker 1: and we check in with the lawmaker who's now back 14 00:00:46,520 --> 00:00:49,160 Speaker 1: in their district from Capitol Hill. A lot to get 15 00:00:49,159 --> 00:00:52,800 Speaker 1: through in the next hour and a half, especially now 16 00:00:53,159 --> 00:00:56,920 Speaker 1: as we enter the final sprint, the final sprints to 17 00:00:57,120 --> 00:00:59,920 Speaker 1: November three. And yes, there have been a record number 18 00:01:00,200 --> 00:01:02,920 Speaker 1: of folks that we've been saying who have already voted 19 00:01:02,960 --> 00:01:06,640 Speaker 1: in this election, but there are so many unknown variables 20 00:01:06,640 --> 00:01:10,440 Speaker 1: that we're gonna explore Throughout the next hour and a 21 00:01:10,520 --> 00:01:15,880 Speaker 1: half or so, fourteen states spanning the Rocky Mountain west 22 00:01:16,040 --> 00:01:21,759 Speaker 1: to Pennsylvania recorded all time highs in coronavirus cases this week. 23 00:01:21,840 --> 00:01:27,000 Speaker 1: That's the most of the pandemic. Illinois, Indiana, Iowa, we 24 00:01:27,080 --> 00:01:30,959 Speaker 1: mentioned Pennsylvania are among the states that hit single day 25 00:01:31,080 --> 00:01:36,160 Speaker 1: highs just today, according to the COVID Tracking Project data. 26 00:01:36,200 --> 00:01:40,240 Speaker 1: Colorado and others reported highs earlier in the week. According 27 00:01:40,280 --> 00:01:42,160 Speaker 1: to the data, pet p A was earlier in the week. 28 00:01:42,400 --> 00:01:45,240 Speaker 1: The superlative show how the wave that started in the 29 00:01:45,319 --> 00:01:49,960 Speaker 1: Upper Midwest is now hitting most of the nation and 30 00:01:50,040 --> 00:01:54,400 Speaker 1: overall cases hit a single day record of eighty eight thousand, 31 00:01:54,400 --> 00:01:58,400 Speaker 1: four hundred and fifty two just today, and the number 32 00:01:58,440 --> 00:02:01,640 Speaker 1: of people hospitalized with the virus in the US rose's 33 00:02:01,800 --> 00:02:06,280 Speaker 1: forty six thousand and nine. I mean, I'm looking at 34 00:02:06,280 --> 00:02:08,680 Speaker 1: my Bloomberg terminal chart right here in the US COVID 35 00:02:08,760 --> 00:02:13,079 Speaker 1: nineteen daily cases versus currently hospitalized, and it's just the 36 00:02:13,200 --> 00:02:19,120 Speaker 1: number of cases far out out, far out paces uh, 37 00:02:19,200 --> 00:02:24,280 Speaker 1: the the number of hospitalizations. But both are still somewhat 38 00:02:24,800 --> 00:02:27,520 Speaker 1: trending up. So we've got a lot to get through. 39 00:02:27,880 --> 00:02:32,560 Speaker 1: And I mentioned the coronavirus at the top of the show, folks, 40 00:02:33,040 --> 00:02:36,320 Speaker 1: because it's not just a political story. And I get it, 41 00:02:36,600 --> 00:02:40,399 Speaker 1: this is political season, it's also an economic story. It's 42 00:02:40,440 --> 00:02:42,880 Speaker 1: also an economic story, and we're gonna talk about that. 43 00:02:42,919 --> 00:02:46,040 Speaker 1: Tech routes sends stocks to worst weeks since March. US 44 00:02:46,080 --> 00:02:50,160 Speaker 1: stocks dropped, capping their biggest weekly route since March after 45 00:02:50,240 --> 00:02:54,519 Speaker 1: earning from the largest tech companies, Disappointed investors concerned that 46 00:02:54,600 --> 00:02:58,120 Speaker 1: a slowing economy will damp profit. The NAZAC one hundred 47 00:02:58,160 --> 00:03:01,959 Speaker 1: declined about two point six percent after Apple's iPhone sales 48 00:03:01,960 --> 00:03:06,320 Speaker 1: and Twitter's user growth both missed estimates. Joining us on 49 00:03:06,320 --> 00:03:08,079 Speaker 1: the line as he does frequent, they were so grateful 50 00:03:08,120 --> 00:03:11,600 Speaker 1: to have him, Calvin Snore senior economists at Navy. Calvin 51 00:03:11,720 --> 00:03:15,680 Speaker 1: help me make sense of the COVID increase cases and 52 00:03:16,040 --> 00:03:18,920 Speaker 1: the tech earnings reports and what went on in the 53 00:03:18,960 --> 00:03:22,760 Speaker 1: market today. Well, nobody likes uncertainty, and we've got a 54 00:03:22,880 --> 00:03:26,680 Speaker 1: bundleload of uncertainty right now. You know, the tech sector 55 00:03:26,720 --> 00:03:29,760 Speaker 1: has been doing really well, it had been leading the market. 56 00:03:29,800 --> 00:03:32,840 Speaker 1: And then you know, with with a combination of factors, 57 00:03:32,840 --> 00:03:35,600 Speaker 1: one has just been a strong sector even before the pandemic, 58 00:03:35,640 --> 00:03:39,760 Speaker 1: and secondly, we're doing a lot more things online. UM, 59 00:03:39,800 --> 00:03:41,880 Speaker 1: we need more equipment if we're working from home. We 60 00:03:41,920 --> 00:03:44,839 Speaker 1: want to have updated phones if we're doing things. UM. 61 00:03:45,200 --> 00:03:47,360 Speaker 1: But this is just a reality check that maybe the 62 00:03:47,400 --> 00:03:50,520 Speaker 1: growth isn't going to be as strong and to the 63 00:03:50,520 --> 00:03:54,040 Speaker 1: extent that the COVID slows the rest of the economy, UM, 64 00:03:54,200 --> 00:03:57,680 Speaker 1: maybe people don't have quite as much disposable income. UH. 65 00:03:57,720 --> 00:04:00,440 Speaker 1: And that's a negative for all types of spending, even 66 00:04:00,160 --> 00:04:02,560 Speaker 1: even the things that are strong. So you're seeing a 67 00:04:02,560 --> 00:04:05,760 Speaker 1: correction in the in the UH, in the tech sector, Apple, 68 00:04:05,920 --> 00:04:09,680 Speaker 1: the other tex stalks. And meanwhile GDP surge in the 69 00:04:09,760 --> 00:04:14,320 Speaker 1: third quarter, rising at a record rate thirty one thirty 70 00:04:14,400 --> 00:04:18,520 Speaker 1: three thirty three points something percent of GDP growth in 71 00:04:18,600 --> 00:04:21,840 Speaker 1: the last in the last quarter. How have the markets 72 00:04:21,880 --> 00:04:28,200 Speaker 1: interpreted that? Well, people anticipated this pretty well because it's 73 00:04:28,279 --> 00:04:31,800 Speaker 1: just reversing some, but not all, the decline that we 74 00:04:31,880 --> 00:04:36,159 Speaker 1: saw earlier in the year. Now, the thing that's really 75 00:04:36,200 --> 00:04:39,839 Speaker 1: funny is, um, if you look at the quarterly numbers, 76 00:04:40,279 --> 00:04:43,560 Speaker 1: you saw a big decline in the second quarter, and 77 00:04:43,600 --> 00:04:46,320 Speaker 1: then it was surge coming almost back the full way 78 00:04:46,400 --> 00:04:48,640 Speaker 1: up in the third quarter. But that's kind of masking 79 00:04:49,080 --> 00:04:51,880 Speaker 1: a monthly trend. It's like you have a square peg 80 00:04:51,920 --> 00:04:56,480 Speaker 1: that doesn't fit into a round hole. Activity. Consumer spending 81 00:04:56,520 --> 00:04:59,880 Speaker 1: fell really sharply in March and April, but then May 82 00:05:00,120 --> 00:05:02,760 Speaker 1: June were the big surges, but they were surging from 83 00:05:02,760 --> 00:05:06,000 Speaker 1: a very low level that meant a full second quarter 84 00:05:06,160 --> 00:05:09,360 Speaker 1: was low. Why do we bring that up because the 85 00:05:09,400 --> 00:05:12,719 Speaker 1: increases have slowed since then. If you look a consumer spending, 86 00:05:13,360 --> 00:05:15,720 Speaker 1: it has been growing eight point seven the six point 87 00:05:15,760 --> 00:05:18,600 Speaker 1: five percent in May and June, but since then it's 88 00:05:18,640 --> 00:05:21,000 Speaker 1: been one to one and a half percent. So we're 89 00:05:21,000 --> 00:05:25,000 Speaker 1: seeing some slowing in our recovery since then, which means 90 00:05:25,279 --> 00:05:29,720 Speaker 1: you couple that with increased COVID cases. Uh, the reality 91 00:05:29,760 --> 00:05:31,920 Speaker 1: is it's going to take longer for us to get 92 00:05:31,960 --> 00:05:36,760 Speaker 1: back to a pre pandemic level with with with a 93 00:05:36,839 --> 00:05:41,320 Speaker 1: virus spreading and with slowing UH consumer spending growth. Calvin 94 00:05:41,360 --> 00:05:43,400 Speaker 1: Snore is with us. He is the senior economists at name. 95 00:05:43,600 --> 00:05:46,000 Speaker 1: You mentioned consumers spending. I mean, what are folks spending 96 00:05:46,000 --> 00:05:48,400 Speaker 1: money on? It's it's actually it's interesting. I mean the 97 00:05:48,440 --> 00:05:50,120 Speaker 1: data that's come out, Calvin, you would know this better 98 00:05:50,120 --> 00:05:52,480 Speaker 1: than anybody. The data that's come out this week has 99 00:05:52,520 --> 00:05:56,320 Speaker 1: been somewhat confusing in terms of what economists are looking 100 00:05:56,360 --> 00:05:59,359 Speaker 1: at to try to gauge the pace of the economic recovery. 101 00:05:59,360 --> 00:06:02,200 Speaker 1: When you've got folks, you know, spending a lot of 102 00:06:02,240 --> 00:06:06,880 Speaker 1: money on I don't know, remodeling their their closets because 103 00:06:06,880 --> 00:06:09,160 Speaker 1: they've got their do it yourself home projects that they've 104 00:06:09,160 --> 00:06:11,000 Speaker 1: been watching the Home Edit on Netflix for too much 105 00:06:11,080 --> 00:06:15,200 Speaker 1: for whatever reason, or they've got their spending money. And 106 00:06:15,600 --> 00:06:18,200 Speaker 1: what we've seen in housing, but how is consumers spending 107 00:06:18,560 --> 00:06:23,760 Speaker 1: provided some both confidence but also some confusion for for economists. 108 00:06:24,960 --> 00:06:28,479 Speaker 1: The level of consumer spending has been coming back, but 109 00:06:28,600 --> 00:06:31,120 Speaker 1: it's really shifted. You were you were touching on the 110 00:06:31,200 --> 00:06:33,760 Speaker 1: things that people are spending money on. People are spending 111 00:06:33,760 --> 00:06:36,560 Speaker 1: money on goods. Uh. If you're at home and you're 112 00:06:36,600 --> 00:06:38,600 Speaker 1: staying at home, you're not going out. People have been 113 00:06:38,600 --> 00:06:41,800 Speaker 1: buying things to stick up, fix up the home, whether 114 00:06:41,839 --> 00:06:46,120 Speaker 1: it's for recreation, you know, new furniture, uh, heater for 115 00:06:46,160 --> 00:06:48,920 Speaker 1: the outdoor deck or where this for the home office. 116 00:06:48,920 --> 00:06:51,440 Speaker 1: Because you're working from home, you're not you're not going out, 117 00:06:51,440 --> 00:06:55,120 Speaker 1: so you're spending things on those goods and actually good spending, 118 00:06:55,400 --> 00:06:59,320 Speaker 1: you know, total durable goods was almost higher in the 119 00:06:59,360 --> 00:07:01,919 Speaker 1: second quarter. And what is a year ago. UM, but 120 00:07:01,960 --> 00:07:04,400 Speaker 1: it's a very different picture when you look at because 121 00:07:04,480 --> 00:07:08,680 Speaker 1: because they're spending on services, you know, travel, restaurants, entertainment, 122 00:07:08,720 --> 00:07:12,680 Speaker 1: things like that, those areas are still UH seven and 123 00:07:12,760 --> 00:07:15,040 Speaker 1: a quarter percent lower than year ago. So there's a 124 00:07:15,080 --> 00:07:18,840 Speaker 1: big diversion. The economy is not gonna be healthy until well, 125 00:07:18,880 --> 00:07:21,040 Speaker 1: first of all, until people are healthy, but until we 126 00:07:21,080 --> 00:07:23,320 Speaker 1: have spending growth coming back on all of these the 127 00:07:23,400 --> 00:07:25,560 Speaker 1: services as well as the goods that are rising so 128 00:07:25,640 --> 00:07:28,160 Speaker 1: much right now. Yeah, it's a really good point. And meanwhile, 129 00:07:28,200 --> 00:07:30,520 Speaker 1: all of this comes is they're still talking about economic 130 00:07:30,560 --> 00:07:34,440 Speaker 1: stimulus and and the impact of economic stimulus. Tyler Goodspeed, 131 00:07:34,600 --> 00:07:37,400 Speaker 1: Acting Chairman and Vice Chairman of the Council of Economic Advisors, 132 00:07:37,400 --> 00:07:42,000 Speaker 1: spoken by colleague David Weston on Bloomberg Balance of Power UH, 133 00:07:42,040 --> 00:07:44,080 Speaker 1: which can be heard daily from nudes at two pm 134 00:07:44,080 --> 00:07:47,200 Speaker 1: Wall Street time on Bloomberg Radio. Take a listen to 135 00:07:47,520 --> 00:07:50,640 Speaker 1: what Tyler Goodspeed had to say about the impact of 136 00:07:50,720 --> 00:07:55,200 Speaker 1: economic stimulus, the paycheck Protection Program, the employee Retention Tax 137 00:07:55,240 --> 00:07:59,160 Speaker 1: Credit helped to retain UH employment and make sure that 138 00:07:59,160 --> 00:08:01,080 Speaker 1: that the job law US is that we did observe 139 00:08:01,120 --> 00:08:03,480 Speaker 1: in those dark days of March and April were expected 140 00:08:03,520 --> 00:08:06,560 Speaker 1: to be temporary in nature, and on the household side, 141 00:08:07,200 --> 00:08:10,480 Speaker 1: the unprecedented scale of the of the fiscal support through 142 00:08:10,520 --> 00:08:15,000 Speaker 1: the Economic Impact Payments H and also the enhanced unemployment 143 00:08:15,000 --> 00:08:19,360 Speaker 1: insurance benefits that were offered and extended by President Trump 144 00:08:19,560 --> 00:08:23,480 Speaker 1: through a series of executive actions definitely helped to stabilize 145 00:08:24,040 --> 00:08:26,080 Speaker 1: UH consumer spending, which at the end of the day 146 00:08:26,120 --> 00:08:28,920 Speaker 1: is the U S economies. He went on to talk 147 00:08:28,960 --> 00:08:31,920 Speaker 1: about how the White House is still committed to Phase 148 00:08:31,960 --> 00:08:35,800 Speaker 1: four stimulus package. Here is we would like to see 149 00:08:36,080 --> 00:08:39,840 Speaker 1: Phase four legislation where it disappointed that it appears Congressional 150 00:08:39,920 --> 00:08:42,920 Speaker 1: leadership the Speaker has not been negotiating in good faith. 151 00:08:43,160 --> 00:08:45,640 Speaker 1: But we here at the White House remain committed to 152 00:08:45,640 --> 00:08:49,320 Speaker 1: Phase four legislation and also to ensuring that the tax 153 00:08:49,440 --> 00:08:53,800 Speaker 1: and regulatory regime that delivered such unprecedented gains through twenty 154 00:08:53,920 --> 00:08:57,240 Speaker 1: nineteen extend into the future. That was Tyler good Speed, 155 00:08:57,280 --> 00:08:59,680 Speaker 1: Acting Chairman and Vice Chairman of the Council of Economic 156 00:08:59,679 --> 00:09:03,040 Speaker 1: Advice or She spoke earlier today with my colleague David 157 00:09:03,320 --> 00:09:06,920 Speaker 1: weston my thanks to Calvin Snore forgetting things kicked off 158 00:09:06,960 --> 00:09:09,640 Speaker 1: for us UH. He of course, as a senior economist 159 00:09:09,760 --> 00:09:12,520 Speaker 1: over there at Narey. Coming up, we talked to Gregory 160 00:09:12,600 --> 00:09:17,240 Speaker 1: Cordy about the battleground states, Bloomberg's very o national political reporter. 161 00:09:17,360 --> 00:09:20,480 Speaker 1: Download the Bloomberg Sound On podcast on Apple iTunes, at 162 00:09:20,520 --> 00:09:24,480 Speaker 1: Bloomberg dot com, or by downloading the Bloomberg Business App. 163 00:09:24,600 --> 00:09:27,440 Speaker 1: You can also find me on Radio dot com, I 164 00:09:27,600 --> 00:09:34,880 Speaker 1: Heart Radio, and Spotify. Up next also Congressman Brian Style, 165 00:09:35,360 --> 00:09:40,040 Speaker 1: who represents the first Congressional District of Wisconsin. I'm Kevin Surley. 166 00:09:40,040 --> 00:10:09,800 Speaker 1: You're listening Bloomberg nine and nine one. This is Bloomberg 167 00:10:09,960 --> 00:10:14,640 Speaker 1: Sound On with Kevin Surrel on Bloomberg and one oh 168 00:10:14,720 --> 00:10:17,360 Speaker 1: five point seven f M h D two. I'm Kevin 169 00:10:17,360 --> 00:10:22,120 Speaker 1: CURRELLI Chief Washington correspondent for Bloomberg Television and for Bloomberg Radio. 170 00:10:22,160 --> 00:10:25,679 Speaker 1: Wisconsin it's going to be such an incredibly important, important 171 00:10:25,679 --> 00:10:27,800 Speaker 1: battleground state. And coming up, we're gonna check in with 172 00:10:28,679 --> 00:10:34,520 Speaker 1: Republican Wisconsin Congressman Brian Style, who represents the first Congressional district. 173 00:10:34,840 --> 00:10:37,760 Speaker 1: That's in the next hour, but here to talk about 174 00:10:37,800 --> 00:10:41,200 Speaker 1: these battleground states and just how incredibly important a state 175 00:10:41,240 --> 00:10:44,720 Speaker 1: like Wisconsin UH is going to be to both President 176 00:10:44,720 --> 00:10:49,120 Speaker 1: Trump as well as to Joe Biden, Gregory Courtiam, my 177 00:10:49,160 --> 00:10:52,520 Speaker 1: colleague Gregory Cortie, who's Bloomberg national political reporter. Gregory, You've 178 00:10:52,520 --> 00:10:56,360 Speaker 1: got this incredible Seriously, folks, truly not just blown smoke here, 179 00:10:56,840 --> 00:10:59,880 Speaker 1: incredible story up on the Bloomberg terminal. The battleground states 180 00:11:00,040 --> 00:11:05,839 Speaker 1: will decide the presidential race. You mentioned uh host of 181 00:11:05,880 --> 00:11:07,920 Speaker 1: different states, but I just want to pick this piece 182 00:11:08,040 --> 00:11:11,280 Speaker 1: apart and go through it. Um, talk to me about 183 00:11:11,320 --> 00:11:15,400 Speaker 1: the importance of Wisconsin. Well, you know, of course, that 184 00:11:15,480 --> 00:11:18,680 Speaker 1: was one of the three blue Wall states that President 185 00:11:18,679 --> 00:11:22,120 Speaker 1: Trump won in two thousand and sixteen. Uh that really 186 00:11:22,200 --> 00:11:27,679 Speaker 1: kind of cracked um, Hillary Clinton's path to victory. Um. 187 00:11:28,080 --> 00:11:32,160 Speaker 1: It's uh, it is a state that is um sort 188 00:11:32,200 --> 00:11:37,520 Speaker 1: of has historically been competitive, but this year has been 189 00:11:37,600 --> 00:11:41,360 Speaker 1: trending Joe Biden's way. But as we all learned from 190 00:11:41,400 --> 00:11:45,560 Speaker 1: two thousand sixteen, anything can happen. Um. It's a state obviously, 191 00:11:45,840 --> 00:11:48,880 Speaker 1: uh that that has a it's a it's a pretty 192 00:11:48,920 --> 00:11:53,920 Speaker 1: good mix of city suburbs and rural also agriculture, industrial. 193 00:11:54,400 --> 00:11:58,880 Speaker 1: And that's what makes a lot of those um Midwestern 194 00:11:58,920 --> 00:12:03,040 Speaker 1: states such uh important battlegrounds is that they are kind 195 00:12:03,040 --> 00:12:06,840 Speaker 1: of reflective of the country. As a whole, um and 196 00:12:06,920 --> 00:12:11,320 Speaker 1: have you know populations and demographics that maybe are a 197 00:12:11,320 --> 00:12:14,280 Speaker 1: little bit more like the country as a whole. And 198 00:12:14,520 --> 00:12:17,120 Speaker 1: that's why we look at them. It's incredible, I mean 199 00:12:17,160 --> 00:12:21,280 Speaker 1: to look at some of the impacts Gregory Cordy Bloomberg, 200 00:12:21,400 --> 00:12:25,880 Speaker 1: national political reporter, that are are really playing in states 201 00:12:25,880 --> 00:12:29,080 Speaker 1: like Wisconsin. You look at Kenosha County for example, which 202 00:12:29,120 --> 00:12:32,319 Speaker 1: of course was the site of some unrest over uh 203 00:12:32,360 --> 00:12:36,359 Speaker 1: the summer, but also the economics of a state like Wisconsin. 204 00:12:36,400 --> 00:12:39,280 Speaker 1: Talk to me just about how these two issues, in 205 00:12:39,360 --> 00:12:43,560 Speaker 1: particular racial inequality as well as the economy are playing 206 00:12:43,600 --> 00:12:46,640 Speaker 1: in a state like Wisconsin, Pennsylvania, Michigan, Pennsylvania. We've talked 207 00:12:46,640 --> 00:12:50,040 Speaker 1: about this frequently this week on this program at Philadelphia 208 00:12:50,120 --> 00:12:53,920 Speaker 1: under curfew, the National Guard arriving tonight um or today 209 00:12:54,440 --> 00:12:59,320 Speaker 1: rather because of of racial unrest happening and protests and 210 00:12:59,400 --> 00:13:02,160 Speaker 1: at times rioting and looting happening in the city of 211 00:13:02,200 --> 00:13:05,960 Speaker 1: brotherly Love. So in PA, Michigan and Wisconsin, the economy 212 00:13:05,960 --> 00:13:09,079 Speaker 1: of rational inequality. Talk to me about those two specific 213 00:13:09,559 --> 00:13:13,240 Speaker 1: issues and the tension between them. Yeah, President Trump has 214 00:13:13,240 --> 00:13:18,760 Speaker 1: been running a different kind of campaign in especially Minnesota 215 00:13:18,840 --> 00:13:22,120 Speaker 1: and Wisconsin, and that's where we had George Foyd's desk. 216 00:13:22,440 --> 00:13:24,800 Speaker 1: That's at the beginning of the summer. We've had those 217 00:13:25,040 --> 00:13:29,280 Speaker 1: protests in Kenosha, and President Thomas really tried to seize 218 00:13:29,320 --> 00:13:33,600 Speaker 1: on that make Black Lives Matter an issue appeal to 219 00:13:34,000 --> 00:13:36,240 Speaker 1: rural voters who might be a little bit more concerned 220 00:13:36,240 --> 00:13:40,079 Speaker 1: about what they're seeing in nearby cities. I would expect 221 00:13:40,120 --> 00:13:42,800 Speaker 1: maybe that that same kind of rhetoric to expand it 222 00:13:42,840 --> 00:13:48,080 Speaker 1: to Pennsylvania given what we see now. Um. And you know, conversely, 223 00:13:48,120 --> 00:13:50,720 Speaker 1: I think and Joe Biden has tried to use those 224 00:13:50,760 --> 00:13:56,559 Speaker 1: issues as a way to campaign on a more shall 225 00:13:56,600 --> 00:14:02,360 Speaker 1: we say, of unifying sam of uh, you know, trying 226 00:14:02,400 --> 00:14:07,880 Speaker 1: to walk this tight rope of us. Yeah. I mean, 227 00:14:07,880 --> 00:14:10,400 Speaker 1: I think he's walking this tight rope of of certainly 228 00:14:10,679 --> 00:14:13,440 Speaker 1: not wanting to appear to condone the violence that's going 229 00:14:13,440 --> 00:14:16,400 Speaker 1: on in some of these cities. Um that certainly condemning it, 230 00:14:16,480 --> 00:14:19,160 Speaker 1: but also trying to understand what the root causes of 231 00:14:19,240 --> 00:14:22,080 Speaker 1: that are and trying to have a more sort of 232 00:14:22,560 --> 00:14:25,160 Speaker 1: um unifying message than you hear from the President, which 233 00:14:25,280 --> 00:14:29,120 Speaker 1: is very much kind of an US versus them, uh 234 00:14:29,400 --> 00:14:32,920 Speaker 1: kind of rhetoric. Um. So you know, obviously this is 235 00:14:32,960 --> 00:14:35,760 Speaker 1: that we all know what the electoral college. It's really 236 00:14:35,800 --> 00:14:40,160 Speaker 1: fifty different state races, and it's just where we are. 237 00:14:40,240 --> 00:14:43,680 Speaker 1: It's it's maybe much more narrower than that, twelve states, 238 00:14:43,720 --> 00:14:47,480 Speaker 1: maybe even down to six states. But my point is 239 00:14:47,520 --> 00:14:51,920 Speaker 1: you're seeing the campaign's wage, each candidate wage campaigns in 240 00:14:51,960 --> 00:14:55,320 Speaker 1: those states that are on issues unique to that state. 241 00:14:55,600 --> 00:14:58,400 Speaker 1: And it's so so incredibly important because for all of 242 00:14:58,440 --> 00:15:02,720 Speaker 1: the reviews we've beaten to death the the oh turnout 243 00:15:02,800 --> 00:15:05,280 Speaker 1: is so important, and it is it is, but is 244 00:15:05,320 --> 00:15:08,000 Speaker 1: it also all politics is local, which is of course 245 00:15:08,520 --> 00:15:12,680 Speaker 1: probably my favorite political thing that gets set a million ties. Okay, 246 00:15:12,960 --> 00:15:15,080 Speaker 1: we talked so much about how Joe Biden is looking 247 00:15:15,120 --> 00:15:17,840 Speaker 1: to expand the map. It's something I do want to 248 00:15:17,840 --> 00:15:21,280 Speaker 1: bring up our states where Republicans feel they could expand 249 00:15:21,280 --> 00:15:24,479 Speaker 1: their Matt Minnesota and Nevada. Talk to me about Minnesota 250 00:15:24,520 --> 00:15:27,720 Speaker 1: and Nevada. Minnesota, mind, you hadn't vote, hasn't voted for 251 00:15:27,840 --> 00:15:31,880 Speaker 1: Republicans and Nixon Nixon, So if the president wants to 252 00:15:31,920 --> 00:15:35,920 Speaker 1: pick up a state, Minnesota, is uh is a state 253 00:15:35,960 --> 00:15:38,440 Speaker 1: that they feel that they could do. And then talk 254 00:15:38,480 --> 00:15:41,400 Speaker 1: to me about Nevada as well. Yeah. So, well, Minnesota 255 00:15:41,440 --> 00:15:44,720 Speaker 1: we talked about a few moments ago. That's where the 256 00:15:44,760 --> 00:15:48,720 Speaker 1: Black Lives Matter movement got reinvigorated earlier this summer with 257 00:15:48,840 --> 00:15:52,600 Speaker 1: the death of George Floyd led to widespread protests, and 258 00:15:52,720 --> 00:15:55,080 Speaker 1: President Trump has tried to capitalize on that. It's a 259 00:15:55,080 --> 00:15:57,920 Speaker 1: state where he showed the somewhat surprising strength and two 260 00:15:57,920 --> 00:16:01,280 Speaker 1: thousand sixteen, and he's hoping that large turnout from the 261 00:16:01,400 --> 00:16:05,360 Speaker 1: rural vote there could propel him the victory. You know, 262 00:16:05,440 --> 00:16:09,120 Speaker 1: it's it's hard to tell that the Joe Biden appears 263 00:16:09,160 --> 00:16:12,320 Speaker 1: to have by all the publicly available polling, a wide leads. 264 00:16:12,360 --> 00:16:15,160 Speaker 1: So but this seems to be more than a head 265 00:16:15,200 --> 00:16:19,040 Speaker 1: fache from President Trump. Peace. He's gone into Minnesota and 266 00:16:19,120 --> 00:16:22,040 Speaker 1: he's stayed in Minnesota, which makes me think that they 267 00:16:22,320 --> 00:16:25,120 Speaker 1: are sincere in their efforts to win it back. Nevada, 268 00:16:25,560 --> 00:16:27,520 Speaker 1: you know, has been a swing state in the in 269 00:16:27,560 --> 00:16:34,400 Speaker 1: the past. It's demographics are becoming much more hispanic. UH. 270 00:16:34,600 --> 00:16:38,840 Speaker 1: The service industries, hospitality industries, the casinos obviously are big 271 00:16:38,840 --> 00:16:41,560 Speaker 1: industry there and those have been the hardest hit by 272 00:16:41,600 --> 00:16:45,680 Speaker 1: COVID UH and so I would imagine that the just 273 00:16:45,760 --> 00:16:50,040 Speaker 1: the issue environment there is UH pretty friendly to a 274 00:16:50,480 --> 00:16:53,800 Speaker 1: challenger Democrat given these economic times that we're in. I 275 00:16:53,840 --> 00:16:56,560 Speaker 1: love this story by Gregory Corti and and read pick 276 00:16:56,800 --> 00:16:59,280 Speaker 1: Gregory's on the line with us, both our national political 277 00:16:59,280 --> 00:17:02,160 Speaker 1: reporters here at Bloomberg. I love this because it's just 278 00:17:02,360 --> 00:17:05,040 Speaker 1: the facts, it's just the data. I didn't realize this. 279 00:17:05,440 --> 00:17:08,720 Speaker 1: I'm on my Bloomberg terminal now looking at their their analysis. 280 00:17:08,800 --> 00:17:14,000 Speaker 1: Four and ten US voters live in thirteen states. These 281 00:17:14,040 --> 00:17:18,600 Speaker 1: thirteen states have all been impacted by COVID, but in 282 00:17:18,720 --> 00:17:23,120 Speaker 1: different ways and at different times. But four in ten 283 00:17:23,880 --> 00:17:30,120 Speaker 1: US voters live in in thirteen battleground states Arizona, Florida, Georgia, Iowa, Michigan, Minnesota, 284 00:17:30,119 --> 00:17:34,159 Speaker 1: New Hampshire, North Carolina, Ohio, p A, Texas or Wisconsin. 285 00:17:34,640 --> 00:17:36,280 Speaker 1: And then this is the number that I did know, 286 00:17:37,160 --> 00:17:40,600 Speaker 1: and this is I think it's a little bit of upsetting. 287 00:17:40,760 --> 00:17:43,560 Speaker 1: I think if you when you hear it, but it's 288 00:17:43,720 --> 00:17:47,960 Speaker 1: you know, every seventy seven thousand, seven hundred and forty four, 289 00:17:48,480 --> 00:17:50,879 Speaker 1: that's the magic number. That's the number of votes that 290 00:17:50,960 --> 00:17:56,320 Speaker 1: made up President Trump's combined margin of victory in the 291 00:17:56,400 --> 00:17:59,920 Speaker 1: three states of Michigan, p AA, Wisconsin last cycle. I mean, 292 00:18:00,000 --> 00:18:06,840 Speaker 1: and you talk about how close these elections are and it's, Gregor, 293 00:18:06,960 --> 00:18:09,640 Speaker 1: I mean, it's to say it's a nail biter. I mean, 294 00:18:09,680 --> 00:18:14,280 Speaker 1: it's it's beyond no doubt. I mean, and you can 295 00:18:14,359 --> 00:18:16,840 Speaker 1: go into each of these individual battleground states and see 296 00:18:16,840 --> 00:18:20,080 Speaker 1: close races that the thing is now though, just the 297 00:18:20,160 --> 00:18:22,760 Speaker 1: kind of set expectations going in the next Tuesday is 298 00:18:22,800 --> 00:18:28,919 Speaker 1: that Joe Biden has is at least tied and in 299 00:18:29,040 --> 00:18:32,399 Speaker 1: most states, Hit has a slight to large lead in 300 00:18:32,560 --> 00:18:36,800 Speaker 1: most of these battleground states. So even though certainly uh 301 00:18:36,920 --> 00:18:41,560 Speaker 1: President Trump is within striking distance of cobbling together the 302 00:18:42,440 --> 00:18:45,399 Speaker 1: electoral votes he needs to win a second term, it 303 00:18:46,000 --> 00:18:48,760 Speaker 1: would almost it would be more surprising than in two 304 00:18:48,760 --> 00:18:51,320 Speaker 1: thousand sixteen because he really has to to pull that 305 00:18:51,440 --> 00:18:54,080 Speaker 1: rabbit out of a hat again. Run the table of 306 00:18:54,119 --> 00:18:56,520 Speaker 1: all these states that are leaning the other way. It's 307 00:18:56,520 --> 00:19:00,159 Speaker 1: not impossible, so many X factors, so many variables in 308 00:19:00,200 --> 00:19:03,560 Speaker 1: this year of COVID, but you really look, I would 309 00:19:03,640 --> 00:19:05,960 Speaker 1: rather be in Joe Biden's shoes right now than the 310 00:19:06,119 --> 00:19:10,639 Speaker 1: Donald Trump's. But you never take anything for granted in politics. Wow, 311 00:19:11,400 --> 00:19:14,560 Speaker 1: very very very interesting, Gregory Cordy, thanks so much for 312 00:19:14,680 --> 00:19:17,360 Speaker 1: checking in with us on Friday. Great reporting, just brilliant, 313 00:19:17,400 --> 00:19:21,880 Speaker 1: brilliant analysis. Coming up next much more politics policy. I'm 314 00:19:21,960 --> 00:19:33,960 Speaker 1: Kevin Sirelli. You're listening to Bloomberg one from how do 315 00:19:34,080 --> 00:19:38,280 Speaker 1: we reopen this economy? The latest on how this pandemic 316 00:19:38,400 --> 00:19:41,200 Speaker 1: is impacting farmers? What does this do for the United 317 00:19:41,240 --> 00:19:46,760 Speaker 1: States relationship with China? Bloomberg Sound On, the Insiders, the influencers, 318 00:19:46,840 --> 00:19:50,360 Speaker 1: the insides. We're responding to this crisis and manufacturers are 319 00:19:50,400 --> 00:19:53,680 Speaker 1: stepping up like never before. You're looking at seventy Kennedy 320 00:19:53,800 --> 00:19:56,840 Speaker 1: for different vaccines. How do we make sure a pandemic 321 00:19:56,920 --> 00:20:00,679 Speaker 1: of this gale never happens again? This is Bloomberg Sound 322 00:20:00,720 --> 00:20:06,399 Speaker 1: On with Kevin Shirley on Bloomberg and one oh H 323 00:20:06,560 --> 00:20:10,520 Speaker 1: D two. This is it the final weekend before November three, 324 00:20:10,880 --> 00:20:14,199 Speaker 1: and we check in with a lawmaker on the ground 325 00:20:14,280 --> 00:20:18,120 Speaker 1: in a battle ground state of Wisconsin. You don't want 326 00:20:18,119 --> 00:20:21,240 Speaker 1: to miss that, Plus an all star political panel as 327 00:20:21,320 --> 00:20:26,879 Speaker 1: COVID cases are now going up in key battleground states, 328 00:20:26,960 --> 00:20:29,320 Speaker 1: the latest from the Bloomberg terminal. First though, let's get 329 00:20:29,359 --> 00:20:31,560 Speaker 1: a check in the headlines for my good friend Nancy Lions. 330 00:20:31,560 --> 00:20:34,440 Speaker 1: Hey there, now, hey, Kevin. President Trump and former Vice 331 00:20:34,440 --> 00:20:37,359 Speaker 1: President Joe Biden are campaigning in the Upper Midwest today 332 00:20:37,400 --> 00:20:39,359 Speaker 1: as they pick up the pace to their sprint to 333 00:20:39,400 --> 00:20:43,000 Speaker 1: election day. President Trump started off with a rally in Michigan, 334 00:20:43,080 --> 00:20:47,240 Speaker 1: touting yesterday's GDP report on annualized growth. I used to 335 00:20:47,280 --> 00:20:50,440 Speaker 1: talk about the V. This is a super V. This 336 00:20:50,520 --> 00:20:53,199 Speaker 1: is the biggest number, thirty three point one, and the 337 00:20:53,240 --> 00:20:55,760 Speaker 1: news doesn't want to talk about it because it's positive. 338 00:20:55,840 --> 00:20:58,600 Speaker 1: The rebound wild historic did not bring us back though 339 00:20:58,640 --> 00:21:01,800 Speaker 1: to where the economy was but for the pandemic. Trump 340 00:21:01,920 --> 00:21:05,800 Speaker 1: is also making stops in Wisconsin and Minnesota today well. 341 00:21:05,880 --> 00:21:09,840 Speaker 1: Joe Biden spoke first to a drive in rally in Iowa. 342 00:21:10,080 --> 00:21:15,320 Speaker 1: How can you want America lead again? How can you 343 00:21:15,320 --> 00:21:20,280 Speaker 1: want America trust each other again? How can you want 344 00:21:20,320 --> 00:21:23,840 Speaker 1: America to be united again? Binding today is also going 345 00:21:23,880 --> 00:21:27,800 Speaker 1: to Minnesota and Wisconsin. The US Elections Project says more 346 00:21:27,840 --> 00:21:30,720 Speaker 1: than eighty five million votes have been cast either by 347 00:21:30,760 --> 00:21:34,000 Speaker 1: mail or in person so far. That's more than six 348 00:21:34,880 --> 00:21:38,200 Speaker 1: of the total number of votes in the entire election. 349 00:21:38,920 --> 00:21:41,200 Speaker 1: We're getting a pretty good idea of how early voting 350 00:21:41,280 --> 00:21:44,000 Speaker 1: is going in our region. Bloomberg Steve Potus takes a 351 00:21:44,040 --> 00:21:47,680 Speaker 1: look at Maryland. In Maryland in person, early voting began 352 00:21:47,720 --> 00:21:50,600 Speaker 1: on Monday, and a record one hundred fifty two thousand 353 00:21:50,680 --> 00:21:53,760 Speaker 1: thirty one ballots were cast that day. The momentum kept 354 00:21:53,880 --> 00:21:56,000 Speaker 1: up through the early part of the week, with about 355 00:21:56,000 --> 00:21:59,240 Speaker 1: one hundred fifty thousand more early votes on both Tuesday 356 00:21:59,280 --> 00:22:03,119 Speaker 1: and Wednesday. The Baltimore Sun reports weekends are generally the 357 00:22:03,200 --> 00:22:06,240 Speaker 1: slowest days for early voting, since people are advised to 358 00:22:06,280 --> 00:22:09,480 Speaker 1: come in during off peak hours to avoid lines. Early 359 00:22:09,560 --> 00:22:13,600 Speaker 1: voting continues through Monday night at eight Steve Podos, Bloomberg 360 00:22:14,359 --> 00:22:16,480 Speaker 1: and one oh five point seven h d two Early 361 00:22:16,560 --> 00:22:20,600 Speaker 1: voting in Virginia and tomorrow at five pm. To accommodate 362 00:22:20,640 --> 00:22:23,280 Speaker 1: the crowds, Fairfax County extended the hours for its early 363 00:22:23,320 --> 00:22:27,080 Speaker 1: voting centers for today as well as Yesterday. Tomorrow, all 364 00:22:27,160 --> 00:22:30,520 Speaker 1: early voting sites will be open from nine to five. Statewide, 365 00:22:30,720 --> 00:22:33,560 Speaker 1: more than two point three million people had voted as 366 00:22:33,560 --> 00:22:36,960 Speaker 1: of Wednesday, according to the Virginia Public Access Project, about 367 00:22:37,000 --> 00:22:40,119 Speaker 1: one and a half million in person, nearly eight hundred 368 00:22:40,160 --> 00:22:45,120 Speaker 1: and fifty thousand by mail. The Alexandria City Public Schools 369 00:22:45,119 --> 00:22:49,040 Speaker 1: Board is retaining its contract tract with police for school 370 00:22:49,080 --> 00:22:52,359 Speaker 1: resource officers for at least another two years. The vote 371 00:22:52,359 --> 00:22:55,000 Speaker 1: on that was six to three, but the contract has 372 00:22:55,080 --> 00:22:59,120 Speaker 1: undergone ten revisions after extensive public input, with a new 373 00:22:59,160 --> 00:23:02,760 Speaker 1: emphasis on data and equality and how students are treat it. 374 00:23:03,240 --> 00:23:06,520 Speaker 1: During a two hour discussion, board member Margaret Laarber expressed 375 00:23:06,520 --> 00:23:10,159 Speaker 1: her concerns, which were then addressed by police Chief Michael Brown. 376 00:23:10,720 --> 00:23:12,800 Speaker 1: I can't get used to the idea or accept the 377 00:23:12,840 --> 00:23:18,280 Speaker 1: idea of guns in handcuffs in schools. I do respect 378 00:23:18,359 --> 00:23:21,280 Speaker 1: your opinion on the handcuffs and the weapons, but I 379 00:23:21,880 --> 00:23:26,040 Speaker 1: frankly would not condon that the city school policing program 380 00:23:26,160 --> 00:23:30,720 Speaker 1: established in today involved six total officers, five s r 381 00:23:30,720 --> 00:23:33,480 Speaker 1: os and one sr OH sergeant. The new contract will 382 00:23:33,520 --> 00:23:37,320 Speaker 1: take effect next week. Maryland's largest school system, Montgomery County, 383 00:23:37,720 --> 00:23:40,880 Speaker 1: is also assessing the school resource officer program, and we'll 384 00:23:40,920 --> 00:23:45,160 Speaker 1: be taking up the matter in January. It's time after 385 00:23:45,200 --> 00:23:48,320 Speaker 1: the Beltway business report. Here is Bloomberg's Tracy john Kie 386 00:23:48,440 --> 00:23:51,920 Speaker 1: Nancy how bad was Wall Streets Week? An entire month 387 00:23:51,960 --> 00:23:54,840 Speaker 1: of gains disappeared in the first three days, and the 388 00:23:54,840 --> 00:23:57,560 Speaker 1: major averages are down for the week by the most 389 00:23:57,600 --> 00:24:00,679 Speaker 1: since March. The down down six and a half percent, 390 00:24:00,800 --> 00:24:03,480 Speaker 1: the NASDAC and SMP down five and a half percent 391 00:24:03,720 --> 00:24:06,160 Speaker 1: for the week. Today, the TAO is down a hundred 392 00:24:06,240 --> 00:24:08,640 Speaker 1: fifty eight points, more than half of one percent at 393 00:24:08,680 --> 00:24:11,880 Speaker 1: twenty six thousand, five oh two, the NASDAC down two 394 00:24:11,960 --> 00:24:14,800 Speaker 1: hundred seventy four points two and a half percent, the 395 00:24:14,920 --> 00:24:18,600 Speaker 1: SMP down one in a quarter percent forty points. Travel 396 00:24:18,640 --> 00:24:20,960 Speaker 1: stocks warrants pulled under like the rest of the c 397 00:24:21,080 --> 00:24:23,720 Speaker 1: DCS that it would not renew a ban on cruises 398 00:24:23,760 --> 00:24:27,280 Speaker 1: in the US waters, and it released requirements the ships 399 00:24:27,280 --> 00:24:30,480 Speaker 1: have to meet to set sail again from US ports. 400 00:24:30,880 --> 00:24:34,320 Speaker 1: Many unemployment claims get processed fairly quickly, but some need 401 00:24:34,359 --> 00:24:37,200 Speaker 1: a closer look to determine if the applicant is eligible. 402 00:24:37,480 --> 00:24:40,520 Speaker 1: The federal government says that review should happen within twenty 403 00:24:40,600 --> 00:24:44,320 Speaker 1: one days. The Virginia Mercury reports that sins April, the 404 00:24:44,400 --> 00:24:47,760 Speaker 1: state met that guideline in just nine percent of cases, 405 00:24:47,880 --> 00:24:52,840 Speaker 1: the national average. The Virginia Employment Commission is still working 406 00:24:52,880 --> 00:24:56,560 Speaker 1: the process. Applications received in June wrapt the date on 407 00:24:56,600 --> 00:24:59,240 Speaker 1: business from the belt Way to Baltimore. I'm Tracy john Kie. 408 00:24:59,320 --> 00:25:01,640 Speaker 1: This is Bloomberg N and T one on five point 409 00:25:01,680 --> 00:25:05,919 Speaker 1: seven f M HD two. Thanks Tracy. Global News twenty 410 00:25:05,920 --> 00:25:08,600 Speaker 1: four hours a day on air and on Bloomberg Quick Take, 411 00:25:08,680 --> 00:25:11,919 Speaker 1: powered by more than twenty journalists and analysts and more 412 00:25:11,920 --> 00:25:15,520 Speaker 1: than twenty countries. I'm Nancy Lions back to you, Kevin. 413 00:25:15,720 --> 00:25:17,560 Speaker 1: Thank you, Nancy. My name is Kevin Serli on the 414 00:25:17,640 --> 00:25:21,359 Speaker 1: Chief Washington correspondent for Bloomberg Television and for Bloomberg Radio. 415 00:25:21,400 --> 00:25:25,040 Speaker 1: We begin to night as fourteen states spanning the Rocky 416 00:25:25,080 --> 00:25:29,040 Speaker 1: Mountain west to Pennsylvania have recorded all time highs in 417 00:25:29,119 --> 00:25:35,000 Speaker 1: cases of coronavirus this week. The most of the pandemic. Illinois, Indiana, 418 00:25:35,080 --> 00:25:38,280 Speaker 1: Iowa are all among the states that hit single day 419 00:25:38,400 --> 00:25:42,560 Speaker 1: highs Thursday. This just according to COVID tracking project out 420 00:25:42,560 --> 00:25:46,600 Speaker 1: of p A, Colorado, and others reported highs earlier in 421 00:25:46,600 --> 00:25:48,720 Speaker 1: this week. The data shows I'm in my Bloomberg terminal 422 00:25:49,200 --> 00:25:52,159 Speaker 1: right now. And what this data shows is how the 423 00:25:52,240 --> 00:25:55,600 Speaker 1: wave that started in the upper Midwest is now hitting 424 00:25:55,600 --> 00:25:57,760 Speaker 1: most of the nation and having moved to more populous 425 00:25:57,760 --> 00:26:00,040 Speaker 1: states in the region and even pushing back into in 426 00:26:00,080 --> 00:26:04,280 Speaker 1: the Northeast and the West. It's one of the unknown variables. 427 00:26:05,040 --> 00:26:09,040 Speaker 1: It's one of the unknown variables in this election in 428 00:26:09,160 --> 00:26:15,360 Speaker 1: battleground states. And mind you, for in ten of the electorate, 429 00:26:15,920 --> 00:26:21,640 Speaker 1: the voting electorate exists only in thirteen battleground states. Think 430 00:26:21,640 --> 00:26:25,399 Speaker 1: about that for a second race decided by just seventy 431 00:26:25,480 --> 00:26:30,760 Speaker 1: seven plus thousand votes in three states Michigan, Wisconsin, Pennsylvania. 432 00:26:31,000 --> 00:26:34,679 Speaker 1: So just by sheer history, this is just one of 433 00:26:34,720 --> 00:26:39,280 Speaker 1: the incredibly unknown variables factored into who shows up on 434 00:26:39,320 --> 00:26:42,040 Speaker 1: November three. If the state has an upstike and cases, 435 00:26:42,040 --> 00:26:46,320 Speaker 1: will that deter a voter, will it deter a single voter? 436 00:26:46,680 --> 00:26:48,280 Speaker 1: And will that have an impact in a county? And 437 00:26:48,280 --> 00:26:51,080 Speaker 1: will that have an impact on the state's results. It's 438 00:26:51,119 --> 00:26:54,720 Speaker 1: why President Trump and Joe Biden were out in earnest 439 00:26:54,880 --> 00:26:57,439 Speaker 1: on the campaign trail and why they will continue to 440 00:26:57,480 --> 00:27:02,080 Speaker 1: be so over the next four days now until November three. 441 00:27:02,280 --> 00:27:05,800 Speaker 1: President Trump swung through the Midwest all throughout Friday, rallying 442 00:27:05,840 --> 00:27:10,439 Speaker 1: supporters in Michigan, Wisconsin, and Minnesota. Recent polling has Trump 443 00:27:10,480 --> 00:27:13,119 Speaker 1: trailing Biden and all three of those states, but still 444 00:27:13,480 --> 00:27:17,000 Speaker 1: within striking distance. He had a rally in Waterford Township, 445 00:27:17,000 --> 00:27:20,159 Speaker 1: which is suburban Detroit, and President Trump took credit for 446 00:27:20,240 --> 00:27:22,400 Speaker 1: what he wants to talk about and what he wants 447 00:27:22,440 --> 00:27:26,240 Speaker 1: to talk about a lot the economy, citing a thirty 448 00:27:26,280 --> 00:27:29,000 Speaker 1: three point one annual rate of increase in g d 449 00:27:29,160 --> 00:27:31,720 Speaker 1: P from the last quarter, the numbers that came out 450 00:27:32,320 --> 00:27:35,920 Speaker 1: just yesterday. Here he is talking about the economic recovery 451 00:27:35,960 --> 00:27:38,760 Speaker 1: in battleground Michigan. I used to talk about the V. 452 00:27:39,160 --> 00:27:42,320 Speaker 1: This is a super V. This is the biggest number, 453 00:27:42,480 --> 00:27:44,760 Speaker 1: thirty three point one, and the news doesn't want to 454 00:27:44,760 --> 00:27:49,000 Speaker 1: talk about it because it's positive. Meanwhile, Joe Biden continuing 455 00:27:49,040 --> 00:27:52,080 Speaker 1: to make an ethos appeal, saying that he would unify 456 00:27:52,160 --> 00:27:56,280 Speaker 1: the country. He was speaking in what has become shockingly 457 00:27:56,960 --> 00:28:02,040 Speaker 1: another battleground state, Iowa. Here he is in Iowa earlier today. 458 00:28:02,280 --> 00:28:05,720 Speaker 1: I believe when you use your power, the power of 459 00:28:05,720 --> 00:28:09,159 Speaker 1: a vote, we're gonna change the course of the country 460 00:28:09,280 --> 00:28:12,679 Speaker 1: and quite fract in the world. So it all comes 461 00:28:12,760 --> 00:28:16,840 Speaker 1: is now, the economy and the coronavirus on a collision. 462 00:28:16,920 --> 00:28:21,280 Speaker 1: Courts of sorts within not just volatility in the electorate, 463 00:28:21,520 --> 00:28:24,159 Speaker 1: but in the markets. US stocks dropped, capping their biggest 464 00:28:24,200 --> 00:28:27,360 Speaker 1: weekly routes since March after earnings from the largest tech 465 00:28:27,400 --> 00:28:32,040 Speaker 1: companies disappointed investors concerned that a slowing economy will damp 466 00:28:32,280 --> 00:28:35,600 Speaker 1: profit the Nasdaq one hundred declined about two point six 467 00:28:36,600 --> 00:28:40,680 Speaker 1: and then we get this from Tyler Goodspeed, acting Chairman 468 00:28:40,720 --> 00:28:43,040 Speaker 1: and Vice Chairman of the Council of Economic Advisors. He 469 00:28:43,040 --> 00:28:46,440 Speaker 1: spoke earlier today with David Weston about whether or not 470 00:28:46,760 --> 00:28:49,880 Speaker 1: fiscal stimulus could come in the lame Duck. Here he is, 471 00:28:50,400 --> 00:28:53,760 Speaker 1: we would like to see Phase four legislation where disappointed 472 00:28:53,800 --> 00:28:57,160 Speaker 1: that it appears congressional leadership the Speaker has not been 473 00:28:57,200 --> 00:28:59,680 Speaker 1: negotiating in good faith. But we here at the White 474 00:28:59,680 --> 00:29:03,320 Speaker 1: House main committed to Phase four legislation and also to 475 00:29:03,440 --> 00:29:06,959 Speaker 1: ensuring that the tax and regulatory regime that delivered such 476 00:29:07,080 --> 00:29:12,600 Speaker 1: unprecedented gains through extend into the future. Jack Kingston is 477 00:29:12,640 --> 00:29:17,080 Speaker 1: a former Republican Georgia congressman, a Trump campaign surrogate, and 478 00:29:17,120 --> 00:29:21,560 Speaker 1: Scott Bolden is a Democratic strategist, former DC Democratic Party 479 00:29:21,640 --> 00:29:25,520 Speaker 1: chairman and attorney Jack. So that's where we are. Coronavirus 480 00:29:25,560 --> 00:29:28,880 Speaker 1: on a collision course with the economy. Seventy seven thousand 481 00:29:28,960 --> 00:29:31,720 Speaker 1: votes in question that Joe Biden needs to win back. 482 00:29:32,000 --> 00:29:35,960 Speaker 1: Can he do it on Tuesday? I don't think he's 483 00:29:35,960 --> 00:29:38,280 Speaker 1: going to be able to do it because his message 484 00:29:38,320 --> 00:29:41,040 Speaker 1: is one of we are about to enter a dark 485 00:29:41,120 --> 00:29:45,440 Speaker 1: period in America. Americans don't like pessimism. Even during World 486 00:29:45,480 --> 00:29:49,680 Speaker 1: War Two, Franklin Roosevelt and across the sea Winston Churchill 487 00:29:49,720 --> 00:29:54,160 Speaker 1: always spoke about the future and our greatness and our strength. Um. 488 00:29:54,240 --> 00:29:57,080 Speaker 1: I just came back from Georgia and I was down 489 00:29:57,120 --> 00:30:00,560 Speaker 1: there for David Purdue doing a little campaign in we 490 00:30:00,640 --> 00:30:04,200 Speaker 1: are basically reopened. Yes we wear a mask, Yes we 491 00:30:04,520 --> 00:30:07,960 Speaker 1: social distance. But today, this morning, I was in a restaurant. 492 00:30:08,000 --> 00:30:11,280 Speaker 1: Every table was full, and we're not having these spikes. 493 00:30:11,320 --> 00:30:13,640 Speaker 1: And you know what, if you do have a spike 494 00:30:13,720 --> 00:30:16,680 Speaker 1: in cases, it's not the same as a spike in death. 495 00:30:17,320 --> 00:30:20,800 Speaker 1: We can't tower in the basement as a nation. We've 496 00:30:20,800 --> 00:30:24,360 Speaker 1: got to live with coronavirus and we've got to power 497 00:30:24,440 --> 00:30:26,320 Speaker 1: through it. That doesn't mean we're not gonna beat it. 498 00:30:26,400 --> 00:30:28,480 Speaker 1: It doesn't mean we're not going to have a vaccine 499 00:30:28,480 --> 00:30:31,640 Speaker 1: and the therapeutic. But we can't cower in our basement. 500 00:30:31,680 --> 00:30:34,120 Speaker 1: We don't have that kind of economic luxury. All right, 501 00:30:34,160 --> 00:30:35,680 Speaker 1: I want to talk about Georgia coming up, and we're 502 00:30:35,680 --> 00:30:38,520 Speaker 1: gonna talk more about battleground states in Wisconsin with a 503 00:30:38,560 --> 00:30:41,640 Speaker 1: congressman style who will join us. But Scott I want 504 00:30:41,640 --> 00:30:45,320 Speaker 1: to get your your insights here, uh, in terms of 505 00:30:45,520 --> 00:30:48,240 Speaker 1: what you just heard from Jack, which is this closing 506 00:30:48,320 --> 00:30:50,440 Speaker 1: argument coming from President Trump that there needs to be 507 00:30:50,480 --> 00:30:54,320 Speaker 1: a more consistent reopening message versus what we're hearing from Biden, 508 00:30:54,640 --> 00:30:56,520 Speaker 1: which is it's going to be a dark and cold 509 00:30:56,520 --> 00:31:00,760 Speaker 1: winner if the coronavirus isn't under control. Well, Jack and 510 00:31:00,960 --> 00:31:04,160 Speaker 1: Donald Trump are in denial. You don't hear them with 511 00:31:04,240 --> 00:31:07,719 Speaker 1: a plan on how to have that v how to reopen. 512 00:31:08,200 --> 00:31:11,880 Speaker 1: What you're hearing from Joe Biden is the same thing 513 00:31:12,000 --> 00:31:15,160 Speaker 1: the scientists are telling you that we are entering a 514 00:31:15,320 --> 00:31:20,280 Speaker 1: dark record eighty to nine new cases a day, thirty 515 00:31:20,320 --> 00:31:24,240 Speaker 1: five and forty states to have increases in some some 516 00:31:24,440 --> 00:31:28,520 Speaker 1: record increases. That's just reality. That's not a doom and 517 00:31:28,560 --> 00:31:34,320 Speaker 1: gloom assessment. And Donald Trump is a potential largest spreader, 518 00:31:34,480 --> 00:31:37,920 Speaker 1: if you will, because he's looking for votes and he's 519 00:31:37,960 --> 00:31:41,520 Speaker 1: holding these major rallies in many of these swing states 520 00:31:41,560 --> 00:31:45,520 Speaker 1: and battleground states. What will be interesting is how many 521 00:31:45,600 --> 00:31:49,640 Speaker 1: people who attend Donald Trump's UM events if you will, 522 00:31:50,160 --> 00:31:54,080 Speaker 1: catch COVID, and Jack, I must tell you catching COVID 523 00:31:54,200 --> 00:31:59,560 Speaker 1: is potentially more deadly than the floor cold. Are we 524 00:31:59,680 --> 00:32:04,200 Speaker 1: can Harry death and catching the virus in comparison to 525 00:32:04,320 --> 00:32:08,640 Speaker 1: vote and Donald Trump's lives about the economy and turning 526 00:32:08,640 --> 00:32:11,960 Speaker 1: the corner. We're not turning the corner. We're headed into 527 00:32:11,960 --> 00:32:14,720 Speaker 1: the bottom of the v and there's no plan to 528 00:32:14,880 --> 00:32:17,440 Speaker 1: bounce up from it. Okay, now here's what we're gonna do. 529 00:32:17,480 --> 00:32:19,320 Speaker 1: So that was our That was the lay of the land. 530 00:32:19,320 --> 00:32:21,520 Speaker 1: From the Republicans and the Democrats coming up, they're both 531 00:32:21,520 --> 00:32:24,960 Speaker 1: gonna pivot forming a policy, because that's really what is 532 00:32:25,000 --> 00:32:28,120 Speaker 1: fascinating here when you look and trace the data. We've 533 00:32:28,120 --> 00:32:30,320 Speaker 1: noted this on this program for quite some time. I'm 534 00:32:30,320 --> 00:32:32,200 Speaker 1: looking at the charts right now in my Bloomberg terminal. 535 00:32:32,520 --> 00:32:36,600 Speaker 1: Germany up taking cases progressive country. France up taking cases 536 00:32:36,640 --> 00:32:41,320 Speaker 1: progressive country. Both are having to impose new restrictions in 537 00:32:41,360 --> 00:32:44,920 Speaker 1: their countries as a result of the uptick. Here in Washington, 538 00:32:45,000 --> 00:32:48,520 Speaker 1: d C. Locally schools sets to reopen on November four, 539 00:32:48,800 --> 00:32:52,600 Speaker 1: a progressive city led by Mayor Bowser. So I think 540 00:32:52,600 --> 00:32:55,239 Speaker 1: it's confusing, and I want to do better than just 541 00:32:55,320 --> 00:32:58,400 Speaker 1: saying in fingerpointing that there's no plan. Let's discuss the 542 00:32:58,440 --> 00:33:02,040 Speaker 1: plans and critique them. Disagree if you will, but there's 543 00:33:02,040 --> 00:33:04,280 Speaker 1: still are plans that are in action around the world. 544 00:33:05,000 --> 00:33:08,160 Speaker 1: I'm Kevin CERELLI Chief Washington correspondent FRO Bloomberg TV and Radio. 545 00:33:08,200 --> 00:33:26,200 Speaker 1: You're listening to Bloomberg. This is Bloomberg Sound On with 546 00:33:26,280 --> 00:33:30,720 Speaker 1: Kevin Surreley on Bloomberg and one oh five point seven 547 00:33:30,800 --> 00:33:35,240 Speaker 1: f M h D two. I'm Kevin CEREALI Chief Washington 548 00:33:35,280 --> 00:33:42,160 Speaker 1: correspondent for Bloomberg Television and for Bloomberg Radio. Happy Halloween Eve, 549 00:33:43,080 --> 00:33:50,200 Speaker 1: Happy Halloween Eve. And I don't know. I mean, you've 550 00:33:50,200 --> 00:33:52,960 Speaker 1: got to be safe. And I know families are across 551 00:33:53,400 --> 00:33:57,600 Speaker 1: the region are trying to trying to figure out, you know, 552 00:33:57,720 --> 00:33:59,880 Speaker 1: what do we what do we do right? But just 553 00:34:00,080 --> 00:34:03,840 Speaker 1: be safe, Be safe, That's what I say. I'm Kevin CURRELLI, 554 00:34:03,920 --> 00:34:08,479 Speaker 1: Chief Washington correspondent for Bloomberg Television and for Bloomberg Radio. 555 00:34:08,600 --> 00:34:11,360 Speaker 1: I saved this story in the Bloomberg Terminal by my 556 00:34:11,480 --> 00:34:15,719 Speaker 1: colleagues Isis Almeda and Marvin G. Perez. Fewer Americans will 557 00:34:15,719 --> 00:34:19,360 Speaker 1: trick or treat this Halloween as COVID nineteen numbers continue 558 00:34:19,400 --> 00:34:22,880 Speaker 1: to climb. While kids may be disappointed, here comes the 559 00:34:22,880 --> 00:34:26,160 Speaker 1: Bloomberg Angle. The worst effects will be felt in Africa, 560 00:34:26,880 --> 00:34:30,600 Speaker 1: where the world's top coco producers may struggle to keep 561 00:34:30,600 --> 00:34:34,319 Speaker 1: paying farmers a premium. This story is so important and 562 00:34:34,360 --> 00:34:36,920 Speaker 1: I highlighted it. They published this in mid October on 563 00:34:36,920 --> 00:34:42,239 Speaker 1: October and it's it's really well, I'm gonna keep reading it. 564 00:34:42,480 --> 00:34:45,280 Speaker 1: Ivory Coast in Ghana raised the price they pay cocoa 565 00:34:45,360 --> 00:34:49,439 Speaker 1: growers by more than twenty for the larger of two 566 00:34:49,480 --> 00:34:52,239 Speaker 1: annual crops. But with the pandemic keeping people at home 567 00:34:52,680 --> 00:34:55,960 Speaker 1: and Halloween sales which account for ten percent of hers 568 00:34:55,960 --> 00:34:59,320 Speaker 1: She's business, Halloween accounts for ten percent of hers She's business. 569 00:35:00,239 --> 00:35:04,520 Speaker 1: The West African nations may struggle to lower chocolate makers 570 00:35:04,600 --> 00:35:07,520 Speaker 1: to buy beans at a high enough level to keep 571 00:35:07,520 --> 00:35:11,920 Speaker 1: paying farmers that were promised the premium. They account for 572 00:35:12,000 --> 00:35:17,440 Speaker 1: seventy of the supply. Ghana and the Ivory Coast, they 573 00:35:17,440 --> 00:35:20,120 Speaker 1: have started charging a premium a four dollars a metric 574 00:35:20,160 --> 00:35:23,520 Speaker 1: ton for their beans, which we're trying to to improve incomes. 575 00:35:23,520 --> 00:35:27,400 Speaker 1: So it's it's it's a really small example. And I 576 00:35:27,480 --> 00:35:30,520 Speaker 1: say this, but it's it's a really really small example, 577 00:35:30,560 --> 00:35:33,200 Speaker 1: but hopefully one maybe that hits close to its home 578 00:35:33,320 --> 00:35:39,200 Speaker 1: about how the pandemic impacts people and supply chains in 579 00:35:39,239 --> 00:35:42,880 Speaker 1: a way that maybe we don't think about. There are 580 00:35:42,920 --> 00:35:46,480 Speaker 1: farmers in the Ivory Coast in Ghana, UM who are 581 00:35:46,520 --> 00:35:51,440 Speaker 1: impacted by what's going on. We're all I mean, so yeah, 582 00:35:51,560 --> 00:35:54,280 Speaker 1: all right, a couple of days away from the election. 583 00:35:54,719 --> 00:35:59,000 Speaker 1: Farming such a crucial crucial topic, agriculture trade, such a 584 00:35:59,000 --> 00:36:02,680 Speaker 1: crucial crucial to topic in this election in battleground states 585 00:36:02,760 --> 00:36:07,040 Speaker 1: like Iowa, where Joe Biden was earlier today, like Michigan, 586 00:36:07,160 --> 00:36:10,879 Speaker 1: like Wisconsin, like Georgia, like Georgia. And that's why I'm 587 00:36:10,880 --> 00:36:14,280 Speaker 1: so grateful to have with me for the hour. Scott Bolden, 588 00:36:14,320 --> 00:36:18,959 Speaker 1: Democratic strategist Jacks Kingston, a former Republican Georgia congressman. Jack, 589 00:36:19,239 --> 00:36:22,719 Speaker 1: you know I talked about farming. They're just from a geopolitical, international, 590 00:36:23,080 --> 00:36:26,960 Speaker 1: US Africa perspective, you know. As a senator, Chris Coon's 591 00:36:26,960 --> 00:36:29,600 Speaker 1: a Democratic Delaware knows a lot about But let me 592 00:36:29,640 --> 00:36:32,080 Speaker 1: talk to you about what's happening in Georgia and the 593 00:36:32,080 --> 00:36:34,200 Speaker 1: fallout of agriculture and how it's gonna play not at 594 00:36:34,200 --> 00:36:38,720 Speaker 1: the presidential race, but in the Senate race. Well. David 595 00:36:38,840 --> 00:36:43,480 Speaker 1: Purdue has both served on the Agriculture the Committee. UM 596 00:36:43,840 --> 00:36:47,240 Speaker 1: actually yielded the seat to Kelly law Sor. We've always 597 00:36:47,239 --> 00:36:50,560 Speaker 1: had someone on the Agricultural Committee in the Senate and 598 00:36:50,760 --> 00:36:54,000 Speaker 1: Austin Scott in the House. It's a huge driver to 599 00:36:54,080 --> 00:36:58,839 Speaker 1: our diversity economy and it ties into our port therefore exports. 600 00:36:59,440 --> 00:37:03,239 Speaker 1: Hopefully every one of your listeners has tried our delicious 601 00:37:03,280 --> 00:37:07,840 Speaker 1: Bidelia onions and our wild shrimp from the coast of Georgia, 602 00:37:07,960 --> 00:37:10,560 Speaker 1: and many other farm products. If you eat watermelon, it 603 00:37:10,640 --> 00:37:13,680 Speaker 1: probably came from Georgia. If you have peanut butter, it 604 00:37:13,719 --> 00:37:16,719 Speaker 1: probably came from a Georgia peanut farmer. So and then 605 00:37:16,960 --> 00:37:21,080 Speaker 1: obviously the poultry came from Georgia. So UM, I think 606 00:37:21,080 --> 00:37:24,799 Speaker 1: it's very, very important of the farm economy. Um. You know, 607 00:37:25,120 --> 00:37:28,520 Speaker 1: it always has its ups and downs. And I would say, Kevin, 608 00:37:28,600 --> 00:37:30,560 Speaker 1: you you actually put your finger on something that's a 609 00:37:30,560 --> 00:37:33,319 Speaker 1: little bit more bipartisan than most of the issues that 610 00:37:33,360 --> 00:37:38,399 Speaker 1: are out there, because farm policy is driven by UMU 611 00:37:39,080 --> 00:37:44,520 Speaker 1: regional concerns rather than by party. But uh, I would 612 00:37:44,560 --> 00:37:48,080 Speaker 1: say David Purdue knows agriculture. His opponent, I don't think, 613 00:37:48,080 --> 00:37:51,920 Speaker 1: has been outside of suburban Atlanta, and so David Purdue 614 00:37:51,960 --> 00:37:54,080 Speaker 1: is definitely going to get the farm vote, and I 615 00:37:54,080 --> 00:37:56,719 Speaker 1: think it's going to put him over the top. Well, 616 00:37:56,760 --> 00:37:59,120 Speaker 1: I think it's interesting because I want to spend this 617 00:37:59,160 --> 00:38:02,600 Speaker 1: time Scott talking about the Senate in particular, because should 618 00:38:02,680 --> 00:38:06,959 Speaker 1: Joe Biden win or should President Trump get reelected, how 619 00:38:07,000 --> 00:38:09,520 Speaker 1: they are able to govern is going to be dramatically 620 00:38:09,560 --> 00:38:14,400 Speaker 1: impacted by the dynamics in Congress. And it's an understatement 621 00:38:14,440 --> 00:38:18,279 Speaker 1: between divided government versus one party in power. So from 622 00:38:18,280 --> 00:38:21,399 Speaker 1: your perspective, Scott, where do you feel Democrats are most 623 00:38:21,400 --> 00:38:23,799 Speaker 1: poised to pick up seats in the Senate and how 624 00:38:23,840 --> 00:38:27,840 Speaker 1: will they do it? Yeah, They're gonna do it. On 625 00:38:28,040 --> 00:38:31,400 Speaker 1: the shirt tells, and the political shirt tells of the 626 00:38:31,480 --> 00:38:37,000 Speaker 1: Biden Harris Um camp and campaign um. The Democrats are 627 00:38:37,000 --> 00:38:39,840 Speaker 1: in play in a lot of rich states that seem 628 00:38:39,920 --> 00:38:43,640 Speaker 1: like they're turning purple or blue. They're in play in Georgia, 629 00:38:43,680 --> 00:38:49,279 Speaker 1: in Iowa, in Maine, North Carolina, South Carolina, UH, and 630 00:38:49,280 --> 00:38:53,000 Speaker 1: and other states that a Republican held. I think we 631 00:38:53,080 --> 00:38:56,520 Speaker 1: only need to pick up three or four, regardless of 632 00:38:56,520 --> 00:39:01,040 Speaker 1: whether we lose Doug Jones in Alabama. We may even 633 00:39:01,040 --> 00:39:07,120 Speaker 1: pick up a Mississippi UH Senate race. And so Donald 634 00:39:07,120 --> 00:39:10,879 Speaker 1: Trump's just poor leadership at handling. The COVID has put 635 00:39:10,920 --> 00:39:14,480 Speaker 1: a lot of these races in play. They're gonna be tight, right, 636 00:39:14,880 --> 00:39:17,680 Speaker 1: But if you look at Colorado, if you will in 637 00:39:17,800 --> 00:39:21,720 Speaker 1: some of it in Montana, if the Democrats suite these states, 638 00:39:21,760 --> 00:39:24,640 Speaker 1: they'll be in control of the Senate. They're gonna hold 639 00:39:24,680 --> 00:39:28,480 Speaker 1: the House, and when Biden wins, they'll have a Democratic president. 640 00:39:28,840 --> 00:39:32,640 Speaker 1: The Democrats won't have an option to complain. Then they'll 641 00:39:32,680 --> 00:39:34,880 Speaker 1: be able to lead in this country and the pressure 642 00:39:34,920 --> 00:39:38,080 Speaker 1: will be on. At point, you know, there's there's a 643 00:39:38,120 --> 00:39:41,520 Speaker 1: blessing and the curse and controlling all three houses. It's it's, 644 00:39:41,600 --> 00:39:44,920 Speaker 1: it's it's the blessing is the Democrats control all three houses. 645 00:39:45,000 --> 00:39:47,560 Speaker 1: The curses not. What are you gonna do? I gotta 646 00:39:47,640 --> 00:39:50,880 Speaker 1: lead and implemented make sure America moves forward from the 647 00:39:50,960 --> 00:39:54,080 Speaker 1: last four years. So we'll see. I think Jack would 648 00:39:54,120 --> 00:39:56,800 Speaker 1: concede that a lot of these states are in play 649 00:39:56,920 --> 00:40:00,360 Speaker 1: and that the Dems could take over the Senate, which 650 00:40:00,560 --> 00:40:03,359 Speaker 1: would change the political faith and the ability of the 651 00:40:03,400 --> 00:40:07,319 Speaker 1: president to move the country forward. I feel that I'm 652 00:40:07,360 --> 00:40:10,640 Speaker 1: back in delt Go with my politically diverse family in Agi. 653 00:40:10,719 --> 00:40:12,759 Speaker 1: I feel like I need above and pop SGI to 654 00:40:12,960 --> 00:40:16,320 Speaker 1: like to have this conversation. Maybe some bench chili bowl 655 00:40:16,600 --> 00:40:19,680 Speaker 1: something on a Friday show with some with some chocolate 656 00:40:19,719 --> 00:40:22,960 Speaker 1: for Halloween. I don't know, but Jack, and and Uh, 657 00:40:23,000 --> 00:40:25,640 Speaker 1: it's it's just it's quite, it's it's great. I love it. 658 00:40:25,680 --> 00:40:28,000 Speaker 1: I think this is the great energy that we need 659 00:40:28,480 --> 00:40:30,799 Speaker 1: from both of you in terms of what we're what 660 00:40:30,840 --> 00:40:33,880 Speaker 1: we're seeing. You know. I just think the Senate is 661 00:40:33,920 --> 00:40:36,399 Speaker 1: something Scott that I got my eye on so much 662 00:40:36,480 --> 00:40:40,520 Speaker 1: because from regardless of who wins, I can't stress this enough. 663 00:40:41,280 --> 00:40:45,120 Speaker 1: And and you, it will change the way. It will 664 00:40:45,200 --> 00:40:49,960 Speaker 1: change the way a President Trump governs, and it will 665 00:40:50,080 --> 00:40:52,960 Speaker 1: change the way a Joe Biden governs if if he's president. 666 00:40:52,960 --> 00:40:57,160 Speaker 1: The Democrats need to net three seats in order to 667 00:40:57,160 --> 00:40:58,920 Speaker 1: win back the Senate. The current balance, of course, is 668 00:40:58,960 --> 00:41:02,960 Speaker 1: fifty forty seven. And it's gonna be fascinating because ticket 669 00:41:03,000 --> 00:41:06,839 Speaker 1: splitting in the Senate outcomes lined up. They all lined 670 00:41:06,920 --> 00:41:08,840 Speaker 1: up with how the top of the ticket went. So 671 00:41:08,920 --> 00:41:10,560 Speaker 1: ticket splitting was the thing in the past, will it 672 00:41:10,600 --> 00:41:12,480 Speaker 1: be this time? We'll find out. I'm Kevin CURRELI. You're 673 00:41:12,480 --> 00:41:25,400 Speaker 1: listening to Bloomberg. This is Bloomberg. Sound on with Kevin 674 00:41:25,400 --> 00:41:29,600 Speaker 1: Surley on Bloomberg and one oh five point seven f 675 00:41:29,760 --> 00:41:32,719 Speaker 1: M h D two. You know, we talked earlier about 676 00:41:32,719 --> 00:41:37,600 Speaker 1: the supply chain and how Coco, the supply chain is 677 00:41:38,200 --> 00:41:42,560 Speaker 1: being impacted by the by the lack of Americans tricker training, 678 00:41:43,200 --> 00:41:45,400 Speaker 1: and so we talked about how the Ivory Coast and 679 00:41:45,440 --> 00:41:47,360 Speaker 1: farmers in the Ivory Coast and Ghana are going to 680 00:41:47,440 --> 00:41:50,839 Speaker 1: be impacted about by this. Well, then I go to Wisconsin, 681 00:41:51,280 --> 00:41:53,480 Speaker 1: battleground state. We're gonna ask him about our next guest, 682 00:41:53,920 --> 00:41:56,600 Speaker 1: and I see that the Gummy bear factory. They're building 683 00:41:56,600 --> 00:41:59,719 Speaker 1: a gummy bear factory in Wisconsin, the first hair bell, 684 00:42:00,400 --> 00:42:03,840 Speaker 1: you know, the gummies. They're building the first North American 685 00:42:03,880 --> 00:42:08,600 Speaker 1: production facility in Wisconsin. NBC, w MTV. Our next guest 686 00:42:08,600 --> 00:42:10,640 Speaker 1: knows a thing or two about this. He's a congressman 687 00:42:10,680 --> 00:42:14,839 Speaker 1: for the district Brian style Republican from Wisconsin. How did 688 00:42:14,880 --> 00:42:17,000 Speaker 1: that come about? You know, that's a big deal of 689 00:42:17,080 --> 00:42:20,799 Speaker 1: a production facility in your district. Thanks for having me on. 690 00:42:20,920 --> 00:42:24,960 Speaker 1: It's great. We're seeing strong economic growth on this interstate 691 00:42:25,000 --> 00:42:29,040 Speaker 1: corridor kind of between Milwaukee and Chicago in the community 692 00:42:29,160 --> 00:42:33,239 Speaker 1: of Kenosha, Pleasant Prairie to be exact. We're excited when 693 00:42:33,280 --> 00:42:38,320 Speaker 1: international businesses like Herring Bow, a German family owned company, 694 00:42:38,360 --> 00:42:42,319 Speaker 1: come to Wisconsin to build one of their biggest facilities 695 00:42:42,360 --> 00:42:45,960 Speaker 1: to make gummy bears and other products to be manufactured 696 00:42:46,000 --> 00:42:48,399 Speaker 1: here in the United States of America. That's a win 697 00:42:48,920 --> 00:42:52,000 Speaker 1: for us, that's a win for workers. I'm excited. It's 698 00:42:52,040 --> 00:42:56,439 Speaker 1: great that they're coming here. Wisconsin has great logistics, it's 699 00:42:56,440 --> 00:42:59,240 Speaker 1: got a great workforce. We've got a good business environment, 700 00:42:59,520 --> 00:43:02,120 Speaker 1: and hopefully we'll see more and more companies coming and 701 00:43:02,120 --> 00:43:06,560 Speaker 1: expanding here in Southeast Wisconsin. Okay, now, is this now 702 00:43:06,600 --> 00:43:11,400 Speaker 1: your favorite Halloween candy? Well, we actually in the southeast Wisconsin. 703 00:43:11,480 --> 00:43:15,840 Speaker 1: In Jamesville, Wisconsin, my hometown. We make Warheads. I'm a 704 00:43:15,880 --> 00:43:19,560 Speaker 1: big Warheads fan. We had Jellybellies over there, so we 705 00:43:19,680 --> 00:43:24,120 Speaker 1: have more candy produced in Southeast Wisconsin than most people appreciate. 706 00:43:24,200 --> 00:43:26,919 Speaker 1: But I love gummy bears and I'm excited that they're 707 00:43:26,920 --> 00:43:30,719 Speaker 1: going to be produced. Like a true candy politician, Congressman, 708 00:43:30,719 --> 00:43:32,400 Speaker 1: I gotta be honest. I'm from out I'm a p 709 00:43:32,520 --> 00:43:35,600 Speaker 1: a guy myself and Hershey's. You know, I'm loyal to 710 00:43:35,600 --> 00:43:37,799 Speaker 1: the Hershey Chocolate. I love me some Hershey's, but I 711 00:43:37,800 --> 00:43:40,840 Speaker 1: love butterfingers. But you know, I like Candy Corn. I 712 00:43:40,840 --> 00:43:43,200 Speaker 1: think Candy Cord has gotten a bad rap in recent years. 713 00:43:43,200 --> 00:43:44,719 Speaker 1: But I didn't know warheads. I used to give them 714 00:43:44,719 --> 00:43:46,319 Speaker 1: to my dad and I would trick him when I 715 00:43:46,320 --> 00:43:48,040 Speaker 1: was a kid, and I'd say, have this. It's uh, 716 00:43:48,120 --> 00:43:50,320 Speaker 1: it's very sweet, and then it would be like incredibly 717 00:43:50,360 --> 00:43:53,640 Speaker 1: sour and then yeah, anyway, let's talk politics Wisconsin. You 718 00:43:53,680 --> 00:43:56,200 Speaker 1: met in Kenosha County. Uh, it was a couple of 719 00:43:56,280 --> 00:43:59,040 Speaker 1: hundred votes. I think it was like two votes that 720 00:43:59,120 --> 00:44:03,240 Speaker 1: it went for up last cycle. Um, And obviously Wisconsin 721 00:44:03,280 --> 00:44:05,279 Speaker 1: is such a key battleground state. Give me beyond the 722 00:44:05,280 --> 00:44:08,840 Speaker 1: talking points, what are give me an analytical perspective of 723 00:44:08,880 --> 00:44:11,480 Speaker 1: Wisconsin and what's going to have to happen for Republicans 724 00:44:11,560 --> 00:44:14,279 Speaker 1: when where do they need turn out? Where do the 725 00:44:14,280 --> 00:44:18,000 Speaker 1: Democrats need to Where do they need to turn out? 726 00:44:18,040 --> 00:44:20,160 Speaker 1: And what are what do they need where do they 727 00:44:20,200 --> 00:44:24,200 Speaker 1: need to hold off Democrats? So the Democrats, as you 728 00:44:24,200 --> 00:44:26,759 Speaker 1: look at it in Wisconsin, their path is usually through 729 00:44:26,800 --> 00:44:28,879 Speaker 1: what I say, the Latte liberals. That's kind of your 730 00:44:29,000 --> 00:44:31,440 Speaker 1: university professor type and matter. I know a lot of 731 00:44:31,440 --> 00:44:35,760 Speaker 1: Republicans who trig lattes. By the way, go ahead. Nothing 732 00:44:35,800 --> 00:44:37,839 Speaker 1: wrong with throwing milk in your coffee. I just don't 733 00:44:37,880 --> 00:44:41,480 Speaker 1: call it a lot day. So yeah, they rely on 734 00:44:41,600 --> 00:44:45,319 Speaker 1: that demographic plus uh an African American base. And then 735 00:44:45,320 --> 00:44:50,400 Speaker 1: your traditional blue collar workers Republicans, rural area what I 736 00:44:50,440 --> 00:44:52,719 Speaker 1: call country collub Republicans, which is in some of those 737 00:44:52,760 --> 00:44:56,080 Speaker 1: northern suburbs, some of the suburbs around Milwaukee. And then 738 00:44:56,120 --> 00:45:00,560 Speaker 1: again your standard blue collar worker in what we're seeing 739 00:45:00,640 --> 00:45:04,960 Speaker 1: play out in southeast Wisconsin in Racine and Kenosha County. 740 00:45:05,080 --> 00:45:07,640 Speaker 1: That is, the folks that lace up their boots, go 741 00:45:07,719 --> 00:45:11,280 Speaker 1: into work day in in, day out. And those folks 742 00:45:11,680 --> 00:45:15,680 Speaker 1: are maybe historical Democrats, maybe their grandfather was a Democrat, 743 00:45:16,200 --> 00:45:18,799 Speaker 1: and they look now and they say the Democratic Party 744 00:45:18,800 --> 00:45:22,520 Speaker 1: of today just doesn't line up with their views, their 745 00:45:22,600 --> 00:45:24,759 Speaker 1: their belief that we need to have trade agreements that 746 00:45:24,840 --> 00:45:28,719 Speaker 1: put American workers in American farmers first, the importance of 747 00:45:28,840 --> 00:45:32,440 Speaker 1: keeping our communities safe and standing with the men and 748 00:45:32,440 --> 00:45:35,479 Speaker 1: women of law enforcement. And I think the President knows 749 00:45:35,600 --> 00:45:38,600 Speaker 1: that he's coming back to Kenosha County, into the city 750 00:45:38,600 --> 00:45:42,200 Speaker 1: of Kenosha for his second to last campaign event of 751 00:45:42,239 --> 00:45:44,400 Speaker 1: this whole cycle. He'll be I'll be with him on 752 00:45:44,440 --> 00:45:48,600 Speaker 1: Monday night in Kenosha speaking directly to some of the 753 00:45:48,640 --> 00:45:51,879 Speaker 1: hardest workers here in southeast Wisconsin. And when you see 754 00:45:51,880 --> 00:45:54,879 Speaker 1: companies like Herring Bow coming to Wisconsin, when you talk 755 00:45:55,000 --> 00:45:57,800 Speaker 1: to these teams and say why are you choosing southeast 756 00:45:57,840 --> 00:46:00,480 Speaker 1: Wisconsin to come to time and again, and they'll tell 757 00:46:00,520 --> 00:46:02,640 Speaker 1: you it's the workforce. It's the men and women that 758 00:46:02,719 --> 00:46:05,640 Speaker 1: wake up and get the job done. And those folks 759 00:46:05,680 --> 00:46:07,520 Speaker 1: are who were going to be battling for here on 760 00:46:07,560 --> 00:46:09,800 Speaker 1: the home stretch for votes in the state of Wisconsin. 761 00:46:10,160 --> 00:46:13,280 Speaker 1: I see. I think this is fascinating. Congressman Brian styles 762 00:46:13,280 --> 00:46:17,040 Speaker 1: On with this Republican from the important first Congressional district 763 00:46:17,080 --> 00:46:20,560 Speaker 1: of Wisconsin. You know, because we talked about a little 764 00:46:20,560 --> 00:46:23,439 Speaker 1: bit yesterday where I grew up outside of Philadelphia. Uh, 765 00:46:23,640 --> 00:46:27,840 Speaker 1: fracking is such an incredibly, incredibly important issue. Energy is 766 00:46:27,880 --> 00:46:30,359 Speaker 1: such an incredibly important issue. And you alluded to this. 767 00:46:30,440 --> 00:46:33,560 Speaker 1: I mean, typically these are more unionized jobs. They're Kennedy 768 00:46:33,640 --> 00:46:37,640 Speaker 1: Catholics for lack of a better term, from yesteryear, who 769 00:46:37,800 --> 00:46:41,440 Speaker 1: the president was able to win in two thousand and sixteen, 770 00:46:41,640 --> 00:46:46,640 Speaker 1: and and so can you just explain to political junkies 771 00:46:46,719 --> 00:46:49,040 Speaker 1: who you know, I want to be respectful of them, 772 00:46:49,040 --> 00:46:51,040 Speaker 1: but they didn't grow up, you know, and the and 773 00:46:51,360 --> 00:46:53,520 Speaker 1: those parts of the country, and so they don't they 774 00:46:54,120 --> 00:47:00,000 Speaker 1: don't necessarily understand that there are thousands of working class 775 00:47:00,080 --> 00:47:03,440 Speaker 1: US voters across this country who are swing voters, and 776 00:47:03,520 --> 00:47:07,759 Speaker 1: they're looking at this through a very different prism than 777 00:47:07,880 --> 00:47:11,560 Speaker 1: cable news media. Congressman Well, I think that's that's the 778 00:47:11,600 --> 00:47:13,839 Speaker 1: distinction between what I call the latte liberal, you can 779 00:47:13,880 --> 00:47:17,120 Speaker 1: call it whatever you like, but the actual blue collar 780 00:47:17,160 --> 00:47:19,520 Speaker 1: worker that's waking up every day, lacing up their boots 781 00:47:19,560 --> 00:47:22,160 Speaker 1: and going out to work. I spent ten years working 782 00:47:22,200 --> 00:47:25,560 Speaker 1: in manufacturing before I ran for office. I know these 783 00:47:25,560 --> 00:47:28,960 Speaker 1: men and women. They work their tails off, and when 784 00:47:29,000 --> 00:47:31,960 Speaker 1: you look at the importance of the issues that I 785 00:47:32,000 --> 00:47:34,560 Speaker 1: think is true for almost all Americans, but is really 786 00:47:34,680 --> 00:47:36,920 Speaker 1: front of mind for many of these men and women. 787 00:47:37,200 --> 00:47:39,719 Speaker 1: They want to know their communities are safe. They want 788 00:47:39,719 --> 00:47:42,560 Speaker 1: to know that we're putting trade agreements that don't sell 789 00:47:42,600 --> 00:47:45,480 Speaker 1: out American workers, that put American workers and farmers first, 790 00:47:45,520 --> 00:47:48,320 Speaker 1: so we can take our products made here in southeast 791 00:47:48,320 --> 00:47:51,560 Speaker 1: Wisconsin and Kenosha, are Racine or anywhere in the United 792 00:47:51,600 --> 00:47:54,279 Speaker 1: States and be able to sell that freely, fairly and 793 00:47:54,360 --> 00:47:58,319 Speaker 1: reciprocally abroad. They want pro growth policies and they want 794 00:47:58,400 --> 00:48:00,839 Speaker 1: a president that's fighting for them. And I think it's 795 00:48:00,840 --> 00:48:04,200 Speaker 1: a very different approach than you get maybe inside the 796 00:48:04,239 --> 00:48:07,600 Speaker 1: Beltway in Washington, d c. Or in in a Manhattan 797 00:48:07,680 --> 00:48:11,080 Speaker 1: office tower. These are folks like myself. We're working hard, 798 00:48:11,520 --> 00:48:13,760 Speaker 1: uh and they want to have the federal government fighting 799 00:48:13,800 --> 00:48:16,840 Speaker 1: for them. And I think that the president's message of 800 00:48:17,000 --> 00:48:21,440 Speaker 1: fighting for workers, and we saw it firsthand in southeast 801 00:48:21,520 --> 00:48:24,920 Speaker 1: Wisconsin before we got punched in the face by coronavirus. 802 00:48:25,320 --> 00:48:27,719 Speaker 1: We were seeing lower unemployment rates, some of the lowest 803 00:48:27,800 --> 00:48:30,360 Speaker 1: unemployment rates that we had seen in generations. We were 804 00:48:30,400 --> 00:48:34,400 Speaker 1: seeing the beginning of rising wages, and people were excited 805 00:48:34,400 --> 00:48:36,799 Speaker 1: in the direction we were going. Obviously, we got hit 806 00:48:36,840 --> 00:48:39,280 Speaker 1: by coronavirus. It's a disease that we're going to ultimately 807 00:48:39,320 --> 00:48:42,480 Speaker 1: have to defeat. But then the question will become who 808 00:48:42,600 --> 00:48:45,759 Speaker 1: is best to rebuild the United States economy and get 809 00:48:45,800 --> 00:48:48,680 Speaker 1: everyone who wants a job back into the workforce. And 810 00:48:48,680 --> 00:48:50,880 Speaker 1: I think it's pretty clear that the pro growth policies 811 00:48:50,920 --> 00:48:54,959 Speaker 1: put forward by Republicans are the path. And four years 812 00:48:54,960 --> 00:48:58,600 Speaker 1: ago Kenosha County, as you noted, the President wanted by 813 00:48:58,600 --> 00:49:01,560 Speaker 1: a few hundred votes. To put that in perspective for 814 00:49:01,560 --> 00:49:05,680 Speaker 1: folks that aren't intimately familiar with Kenosha County, the last 815 00:49:05,719 --> 00:49:11,000 Speaker 1: time the county voted for a Republican was nineteen seventy two, 816 00:49:11,200 --> 00:49:19,080 Speaker 1: Kenosha County for Mondale over Reagan. So so you're going 817 00:49:19,080 --> 00:49:20,960 Speaker 1: back aways, and so it's again it's a lot of 818 00:49:20,960 --> 00:49:24,040 Speaker 1: these folks that are looking and saying the national Democrats 819 00:49:24,080 --> 00:49:27,680 Speaker 1: have gone so far left that they're no longer in 820 00:49:27,719 --> 00:49:30,280 Speaker 1: the best interests of workers who lace up their boots 821 00:49:30,320 --> 00:49:32,000 Speaker 1: every day. And I think that's where they're going to 822 00:49:32,120 --> 00:49:34,520 Speaker 1: give a real strong look to the president. And the 823 00:49:34,560 --> 00:49:38,040 Speaker 1: President coming back on Monday for his second to last 824 00:49:38,080 --> 00:49:42,440 Speaker 1: campaign event right in the heart of Kenosha and between Kenosha, 825 00:49:42,480 --> 00:49:45,360 Speaker 1: and we're seeing kind of this corridor between Milwaukee and 826 00:49:45,480 --> 00:49:48,279 Speaker 1: Chicago with hard working folks. They're going to give him 827 00:49:48,280 --> 00:49:50,440 Speaker 1: a final listen, and I think they're gonna like the 828 00:49:50,480 --> 00:49:52,960 Speaker 1: message that he delivers. All Right, we got ninety second stuff. 829 00:49:52,960 --> 00:49:54,680 Speaker 1: I want to ask you this about policy because that 830 00:49:54,719 --> 00:49:57,120 Speaker 1: you're on the committee. You're on the Financial Services Committee, 831 00:49:57,120 --> 00:49:58,239 Speaker 1: and I do want to ask you this just from 832 00:49:58,239 --> 00:50:01,880 Speaker 1: the from a geopolitical perspective, I mean, do you think 833 00:50:01,920 --> 00:50:05,000 Speaker 1: that that there's any bipartisanship on on what what can 834 00:50:05,040 --> 00:50:09,360 Speaker 1: be done to thwart off the economic risks from the 835 00:50:09,400 --> 00:50:14,799 Speaker 1: Communist Party of China? We got literally like minute fifteen left. Yeah. 836 00:50:14,800 --> 00:50:18,200 Speaker 1: I think as we get through this election, I think 837 00:50:18,239 --> 00:50:20,120 Speaker 1: partisanship is going to have to be put aside. We're 838 00:50:20,120 --> 00:50:23,239 Speaker 1: gonna have to put our working boots on and get 839 00:50:23,239 --> 00:50:25,080 Speaker 1: to work on this. We're gonna need to make sure 840 00:50:25,120 --> 00:50:27,600 Speaker 1: that we're on shoring bringing back to the United States 841 00:50:27,680 --> 00:50:31,319 Speaker 1: of America key components of our supply chain, in particular 842 00:50:31,719 --> 00:50:35,680 Speaker 1: as it relates to the protective equipment of nurses and doctors, 843 00:50:35,719 --> 00:50:39,840 Speaker 1: as relates to our prescription drugs. And again, I actually 844 00:50:39,880 --> 00:50:42,960 Speaker 1: just met with a company looking at putting a facility 845 00:50:43,080 --> 00:50:47,160 Speaker 1: in Wisconsin to begin producing medical equipment here. This can't 846 00:50:47,200 --> 00:50:49,400 Speaker 1: be a partisan issue. This is one of those things 847 00:50:49,400 --> 00:50:51,759 Speaker 1: where we're gonna all have to work together to make 848 00:50:51,800 --> 00:50:54,400 Speaker 1: sure we're keeping America safe and healthy and breath far 849 00:50:55,000 --> 00:50:58,680 Speaker 1: backing President Trump today, breath Farve. I take it you're 850 00:50:58,680 --> 00:51:02,279 Speaker 1: a Packers fan, big Packers fan. The President. Actually, I 851 00:51:02,280 --> 00:51:04,880 Speaker 1: believe in green Bay right now. He was moments to 852 00:51:04,960 --> 00:51:08,640 Speaker 1: go at least finishing up his speech there in so 853 00:51:08,840 --> 00:51:13,480 Speaker 1: Brett Farve making that announcement. Uh Brett far great, great quarterback, 854 00:51:13,520 --> 00:51:15,440 Speaker 1: and Packers are having a good year this year. Okay, 855 00:51:15,440 --> 00:51:17,200 Speaker 1: but the Eagles are going to beat the Cowboys this weekend. 856 00:51:17,200 --> 00:51:21,040 Speaker 1: Thank you to Congressman Style Republican from Wisconsin. Appreciate it. 857 00:51:21,040 --> 00:51:32,920 Speaker 1: As always, you're listening to Bloomberg. You're listening to Bloomberg 858 00:51:33,040 --> 00:51:37,080 Speaker 1: Sound On with Kevin Currel on Bloomberg and one or 859 00:51:37,200 --> 00:51:40,440 Speaker 1: five point seven f m h D two. I'm Kevin Sireli, 860 00:51:40,560 --> 00:51:43,760 Speaker 1: Chief Washington correspondent for Bloomberg Television and for Bloomberg Radio. 861 00:51:43,840 --> 00:51:50,200 Speaker 1: Mars Candy based in McLean Milky Way, Twigs Eminem's Nickers. 862 00:51:50,239 --> 00:51:52,120 Speaker 1: I love all the candy. I mean, I've got a 863 00:51:52,160 --> 00:51:53,680 Speaker 1: huge sweet seeth. My dad used to take me to 864 00:51:53,719 --> 00:51:56,480 Speaker 1: Barrel Grosser back in del't Go many of years ago. 865 00:51:56,520 --> 00:52:01,640 Speaker 1: We would get the Remember there's giant jawbreakers that were 866 00:52:01,680 --> 00:52:04,200 Speaker 1: like the size of an orange. I would beg my dad. 867 00:52:04,239 --> 00:52:06,960 Speaker 1: I would say, Dad, could I please get a jawbreaker? 868 00:52:07,480 --> 00:52:09,080 Speaker 1: And he would say, Kevin, I'm not buying you that. 869 00:52:09,160 --> 00:52:10,680 Speaker 1: If you want to go up to your piggy bank, 870 00:52:10,760 --> 00:52:14,120 Speaker 1: empty it out, count the change, and then you can 871 00:52:14,160 --> 00:52:16,560 Speaker 1: buy it. He wanted to see how bad I wanted it, 872 00:52:17,200 --> 00:52:18,680 Speaker 1: and then I did it, and he was like, all right, 873 00:52:18,719 --> 00:52:20,640 Speaker 1: it's like two bucks. I'll get you. I'll get you 874 00:52:20,680 --> 00:52:25,640 Speaker 1: the jawbreaker. I wonder what my panel's favorite candy is 875 00:52:25,920 --> 00:52:32,000 Speaker 1: as we socially distant celebrate Halloween. Jack Kingston, former GOP 876 00:52:32,520 --> 00:52:37,920 Speaker 1: Georgia Congressman, what's your favorite candy? Jack? An apple of bananas? 877 00:52:38,280 --> 00:52:45,000 Speaker 1: I'm shocked by you. I you know, Jack, you were 878 00:52:45,040 --> 00:52:48,479 Speaker 1: probably the house that gave out apples on Halloween, weren't you, Jack. 879 00:52:49,239 --> 00:52:54,080 Speaker 1: There's always one on the block, you know, Jack. I 880 00:52:54,120 --> 00:52:56,000 Speaker 1: do want to tell you one thing. When my daughter 881 00:52:56,080 --> 00:52:59,399 Speaker 1: was ten years old, we toured the Hershey factory. It's 882 00:52:59,400 --> 00:53:06,040 Speaker 1: so much fun during She's Chocolate, during the Last Up Chocolate. 883 00:53:11,760 --> 00:53:15,080 Speaker 1: I'll tell you what I did it. I let her 884 00:53:15,120 --> 00:53:18,080 Speaker 1: make her own decision and she chose the Lord. So 885 00:53:18,120 --> 00:53:27,480 Speaker 1: if it had been our pocket for anyone who doesn't 886 00:53:27,480 --> 00:53:30,560 Speaker 1: know her, She's Chocolate World is a huge stories attack 887 00:53:30,840 --> 00:53:34,160 Speaker 1: attraction in the battleground state of Pennsylvania. Christine Brown, I 888 00:53:34,160 --> 00:53:37,760 Speaker 1: promise I'm pivoting back to politics soon. But it's literally 889 00:53:37,800 --> 00:53:40,160 Speaker 1: like a scene out of Willy Wonka with a chocolate river. 890 00:53:40,320 --> 00:53:42,839 Speaker 1: I mean, and they literally show you how to make it. 891 00:53:42,880 --> 00:53:45,160 Speaker 1: So that's torturous for a kid not to be able 892 00:53:45,160 --> 00:53:47,480 Speaker 1: to do that. Scott bolding quickly, what's your favorite Halloween candy? 893 00:53:47,520 --> 00:53:53,719 Speaker 1: Democratic chol It's the heat bar Okaye Smith. My my 894 00:53:54,239 --> 00:53:57,359 Speaker 1: the lover I've been at for thirty years. We represented her, 895 00:53:57,440 --> 00:54:00,239 Speaker 1: she for years actually, and if you get to be 896 00:54:00,320 --> 00:54:04,440 Speaker 1: on that account, you get to visit the hershey uh complex, 897 00:54:04,520 --> 00:54:08,399 Speaker 1: if you will. My waistline looks like I represent them, 898 00:54:08,440 --> 00:54:14,800 Speaker 1: but I don't you know who says the Republicans and 899 00:54:14,880 --> 00:54:19,320 Speaker 1: Democrats can't get along on a Friday before an election, Kevin, 900 00:54:19,360 --> 00:54:21,920 Speaker 1: I didn't want to remind you that Scott promised to 901 00:54:21,920 --> 00:54:24,760 Speaker 1: take the three of us to dinner. I remember pending 902 00:54:24,800 --> 00:54:29,360 Speaker 1: on the outcome of this election, and I remember, and 903 00:54:29,440 --> 00:54:34,800 Speaker 1: I'm always hungry Washington, d C. So you know, um, okay, 904 00:54:34,840 --> 00:54:37,600 Speaker 1: it's time to hew for my favorite part of the program, 905 00:54:37,680 --> 00:54:40,200 Speaker 1: which is what is on the panel's radar. I really 906 00:54:40,239 --> 00:54:41,920 Speaker 1: want and I know this panel is going to do 907 00:54:41,960 --> 00:54:44,200 Speaker 1: it for me. I really wanted to be specific and 908 00:54:44,280 --> 00:54:47,560 Speaker 1: nuanced and not talking points. I wanted to be data oriented, 909 00:54:48,080 --> 00:54:50,600 Speaker 1: something that someone's going to go into the weekend and say, 910 00:54:50,600 --> 00:54:53,160 Speaker 1: you know what, I heard that on Bloomberg Radio sound 911 00:54:53,239 --> 00:54:56,239 Speaker 1: on about this upcoming election. So but that that's a 912 00:54:56,280 --> 00:55:00,040 Speaker 1: lot of pressure. But but I feel that that that 913 00:55:00,040 --> 00:55:04,000 Speaker 1: that are that our states, that are states that our 914 00:55:04,600 --> 00:55:07,680 Speaker 1: panel can do it. So Jack, I'm gonna have you 915 00:55:07,760 --> 00:55:11,200 Speaker 1: kick things off. What's on your radar the final Friday 916 00:55:11,280 --> 00:55:17,359 Speaker 1: before Tuesday's election. Okay, first thing, despite his wayward politics, 917 00:55:17,400 --> 00:55:19,600 Speaker 1: I love Scott Bolton, so let me get that out 918 00:55:19,640 --> 00:55:24,480 Speaker 1: of way. M Secondly, let me say people are just 919 00:55:24,560 --> 00:55:28,480 Speaker 1: assuming the House stays Democrat if it doesn't grow. There 920 00:55:28,480 --> 00:55:32,480 Speaker 1: are thirteen seats which we call ruby red seats, feats 921 00:55:32,480 --> 00:55:35,759 Speaker 1: that Donald Trump won by six percent or more. Those 922 00:55:35,760 --> 00:55:39,279 Speaker 1: seats are in play. Then they're seventeen House seats that 923 00:55:39,400 --> 00:55:42,560 Speaker 1: Trump won, maybe just squeaked by, but he did one. 924 00:55:42,960 --> 00:55:46,160 Speaker 1: And then there are another twenty three that Republicans have 925 00:55:46,320 --> 00:55:49,239 Speaker 1: held in the past. The reason why that's relevant is 926 00:55:49,280 --> 00:55:52,960 Speaker 1: Republicans only need seventeen seats to flip the House. I 927 00:55:53,000 --> 00:55:54,960 Speaker 1: think the House is in play, and I think it's 928 00:55:54,960 --> 00:55:59,799 Speaker 1: going to be the sleeper story of the night. That's fascinating. 929 00:56:00,120 --> 00:56:01,799 Speaker 1: Wait so wait, so because this is this is a 930 00:56:01,840 --> 00:56:06,120 Speaker 1: really interesting point. So you actually think that there could 931 00:56:06,160 --> 00:56:09,560 Speaker 1: be a reversal in the House, Jackkinson, Not hope, not hope, 932 00:56:09,880 --> 00:56:12,640 Speaker 1: But you actually believe there's a path for Republicans to 933 00:56:12,680 --> 00:56:15,680 Speaker 1: take back the House. I think there is a path 934 00:56:15,840 --> 00:56:19,680 Speaker 1: because remember now it Scott pointed out earlier, if Donald 935 00:56:19,719 --> 00:56:23,359 Speaker 1: Trump was to lose big, like by eight to ten points, 936 00:56:23,400 --> 00:56:26,000 Speaker 1: that's going to bring down lots of Senate and House races. 937 00:56:26,400 --> 00:56:29,600 Speaker 1: But if he loses by three points, that's not going 938 00:56:29,640 --> 00:56:31,960 Speaker 1: to hurt him. And then if he wins, it's certainly 939 00:56:32,000 --> 00:56:34,960 Speaker 1: gonna help them. But people know how to split their 940 00:56:35,000 --> 00:56:38,520 Speaker 1: ticket these days, and the Poland is showing that where 941 00:56:38,640 --> 00:56:41,279 Speaker 1: members of Congress are higher are a different level than 942 00:56:41,360 --> 00:56:43,839 Speaker 1: Donald Trump and some of these polls. So I think 943 00:56:43,920 --> 00:56:45,600 Speaker 1: that the House is a lot more in play than 944 00:56:45,640 --> 00:56:49,080 Speaker 1: people think it is. Okay, okay, but Scott respond to 945 00:56:49,120 --> 00:56:51,640 Speaker 1: that before I ask what's on your radar? Yeah, that's 946 00:56:51,680 --> 00:56:54,440 Speaker 1: very happy, Lift. I think the map is interesting, but 947 00:56:54,480 --> 00:56:57,000 Speaker 1: I gotta tell you that the country is so polarised 948 00:56:57,560 --> 00:57:02,080 Speaker 1: and Donald Trump is such a as president that I 949 00:57:02,120 --> 00:57:06,160 Speaker 1: think the Dems are not uh and even the independence 950 00:57:06,200 --> 00:57:08,920 Speaker 1: of the moderate Republicans who are all out there against 951 00:57:09,080 --> 00:57:12,000 Speaker 1: Trump and the GOP. That's gonna be a heavy list 952 00:57:12,160 --> 00:57:15,759 Speaker 1: to turn those seventeen seats. We'll have to see, all right, 953 00:57:15,760 --> 00:57:18,000 Speaker 1: what's on your radar? What's on your radar? Let me 954 00:57:18,160 --> 00:57:21,640 Speaker 1: tell you what's on my I'll tell you. You know, Um, 955 00:57:21,760 --> 00:57:24,720 Speaker 1: does Donald Trump? Can he kiss lightening in a bottle 956 00:57:24,760 --> 00:57:27,800 Speaker 1: of the second time? All accounts in twenty six thing 957 00:57:27,880 --> 00:57:30,240 Speaker 1: you had the impact of the combi effect, you had 958 00:57:30,240 --> 00:57:33,680 Speaker 1: a not yet not so great candidate, and Hillary Clinton 959 00:57:33,720 --> 00:57:36,600 Speaker 1: and the emails and what have you. But this year 960 00:57:36,640 --> 00:57:41,040 Speaker 1: in Donald Trump needs to find new voters and rural America, 961 00:57:41,160 --> 00:57:45,480 Speaker 1: poor working white Americans who have never voted before because 962 00:57:46,640 --> 00:57:49,640 Speaker 1: can't grow based on his policies and based on what's 963 00:57:49,680 --> 00:57:53,360 Speaker 1: occurred the last four years. Are there enough poor white 964 00:57:53,360 --> 00:57:57,320 Speaker 1: working class Americans who have never voted before will vote 965 00:57:57,400 --> 00:58:00,520 Speaker 1: rarely that will come up for Donald Trump because they 966 00:58:00,560 --> 00:58:03,680 Speaker 1: believe in him, not as policies, but believe in him. 967 00:58:03,920 --> 00:58:06,880 Speaker 1: And doesn't have a go t Z program to get 968 00:58:06,960 --> 00:58:09,720 Speaker 1: them out, get them counted and squeak out a win. 969 00:58:10,040 --> 00:58:12,600 Speaker 1: To me, that's the only path to to seventy for him. 970 00:58:12,840 --> 00:58:15,120 Speaker 1: And there a lot of people who agree with that 971 00:58:15,720 --> 00:58:18,360 Speaker 1: concept of that pathway at least that's the only way 972 00:58:18,400 --> 00:58:22,160 Speaker 1: he wins in the end. It's gonna be remarkable just 973 00:58:22,320 --> 00:58:26,720 Speaker 1: to see obviously the numbers and for us, for us, 974 00:58:27,880 --> 00:58:30,680 Speaker 1: for us political junkies. I mean, and this is why 975 00:58:30,720 --> 00:58:34,040 Speaker 1: I really I'm always cautious to make hypothetical. I don't 976 00:58:34,080 --> 00:58:38,160 Speaker 1: have the data to to perform an analysis before in election. Um. 977 00:58:38,200 --> 00:58:39,760 Speaker 1: The only data that we have that's come in and 978 00:58:39,800 --> 00:58:42,720 Speaker 1: this is what's all my radar are the early the 979 00:58:43,760 --> 00:58:46,880 Speaker 1: early mail in ballot information that we have and I've 980 00:58:47,160 --> 00:58:49,760 Speaker 1: I saved this today Tyler Pager, who's done an incredible job, 981 00:58:49,800 --> 00:58:53,360 Speaker 1: an incredible job for Bloomberg reporting on the Biden campaign. 982 00:58:53,400 --> 00:58:56,440 Speaker 1: He noted this in one of his reports today. In Arizona, 983 00:58:56,560 --> 00:59:01,120 Speaker 1: two thirds of Latino registered voters have not yet cast 984 00:59:01,160 --> 00:59:06,480 Speaker 1: a ballot. In Florida, half of Latino and Black registered 985 00:59:06,560 --> 00:59:09,720 Speaker 1: voters have not yet voted, but more than half of 986 00:59:09,760 --> 00:59:14,040 Speaker 1: white voters have cast ballots. According to data data from Catalyst, 987 00:59:14,080 --> 00:59:18,760 Speaker 1: which is a democratic data firm. In Pennsylvania, seventy five 988 00:59:19,160 --> 00:59:24,640 Speaker 1: cent of registered black voters have not yet voted, so 989 00:59:24,720 --> 00:59:30,000 Speaker 1: the turnout amongst minority groups in key battleground states Arizona, Florida, 990 00:59:30,200 --> 00:59:35,880 Speaker 1: Pennsylvania has some Democratic strategists seeing some warning signs in 991 00:59:35,960 --> 00:59:39,080 Speaker 1: some battleground states. Now you look at the polls, the 992 00:59:39,120 --> 00:59:41,360 Speaker 1: polls are wrong. In two thousand and sixteen, I don't 993 00:59:41,360 --> 00:59:43,480 Speaker 1: really want to hear that. People say no, but the 994 00:59:43,520 --> 00:59:47,160 Speaker 1: polls are right. The popular no, everyone thought Hillary Clinton 995 00:59:47,240 --> 00:59:50,440 Speaker 1: was gonna win that campaign. The polls were wrong, and 996 00:59:50,760 --> 00:59:54,920 Speaker 1: um so it's gonna be remarkable. It's going to be 997 00:59:54,960 --> 00:59:58,400 Speaker 1: absolutely remarkable. If you are celebrating Halloween, if you and 998 00:59:58,440 --> 01:00:01,320 Speaker 1: your family are celebrating hollow, please do it in a safe, 999 01:00:01,520 --> 01:00:05,880 Speaker 1: safe way. Be safe, be safe, be safe. And Jack, 1000 01:00:05,960 --> 01:00:09,520 Speaker 1: what was your best Halloween costume when you were growing up? Oh, 1001 01:00:09,560 --> 01:00:16,120 Speaker 1: I was a Canadian mount TM. You had one costume 1002 01:00:16,200 --> 01:00:18,280 Speaker 1: you had to walk. I don't even know what that is. 1003 01:00:18,400 --> 01:00:20,240 Speaker 1: I I don't even know what that is. I'm gonna 1004 01:00:20,240 --> 01:00:27,160 Speaker 1: have to google that. Yeah, Deitely, we have thirty seconds, 1005 01:00:27,160 --> 01:00:31,800 Speaker 1: so you can't. I've gotta go, I gotta go. Just 1006 01:00:31,800 --> 01:00:35,360 Speaker 1: just went up recovered that at the first black Jack. 1007 01:00:35,480 --> 01:00:37,520 Speaker 1: That was my first words out of my mouth at 1008 01:00:37,560 --> 01:00:39,120 Speaker 1: the top of the show was about the g d P. 1009 01:00:39,760 --> 01:00:42,720 Speaker 1: I'm Kevin surreally thanks for listening. And by the way, 1010 01:00:42,760 --> 01:00:45,360 Speaker 1: the GDP growth and increased thirty three point one percent 1011 01:00:45,480 --> 01:00:48,680 Speaker 1: last quarter. You're listening Bloomberg. Happy Halloween, you're listening to Bloomberg.