1 00:00:00,440 --> 00:00:05,960 Speaker 1: Why how do we reopen this economy? The latest on 2 00:00:06,040 --> 00:00:09,040 Speaker 1: how this pandemic is impacting farmers. What does this do 3 00:00:09,240 --> 00:00:13,040 Speaker 1: from the United States relationship with China? Bloomberg Sound On, 4 00:00:13,360 --> 00:00:17,360 Speaker 1: The insiders, the influencers, the inside. We're responding to this 5 00:00:17,480 --> 00:00:20,920 Speaker 1: crisis and manufacturers are stepping up like never before. You're 6 00:00:20,960 --> 00:00:23,959 Speaker 1: looking at SEVENY Kennedy for different vactines. How do we 7 00:00:24,040 --> 00:00:27,240 Speaker 1: make sure a pandemic of this scale never happens again? 8 00:00:27,480 --> 00:00:31,960 Speaker 1: This is Bloomberg Sound On with Kevin Surling on Bloomberg 9 00:00:32,520 --> 00:00:35,600 Speaker 1: nine and one oh five point seven fm h D two. 10 00:00:36,080 --> 00:00:40,400 Speaker 1: It's all about the economy. On the final night of 11 00:00:40,520 --> 00:00:44,479 Speaker 1: the Virtual Republican National Convention, Rick Davis is going to 12 00:00:44,520 --> 00:00:48,160 Speaker 1: give us his takeaways, plus an all star political panel 13 00:00:48,200 --> 00:00:52,239 Speaker 1: to navigate through what is going on in Kenosha and 14 00:00:52,320 --> 00:00:56,080 Speaker 1: the protests here in the nation's capital. Joining us to 15 00:00:56,240 --> 00:01:01,720 Speaker 1: recap the the conventions. We made it, Rick Davis, Rick 16 00:01:01,840 --> 00:01:04,360 Speaker 1: Bloomberg contributor, you know you were the campaign manager for 17 00:01:04,360 --> 00:01:08,160 Speaker 1: of course, Senator John McCain's presidential Rick, I gotta be honest, 18 00:01:08,959 --> 00:01:13,360 Speaker 1: we made it. Congratulations, This is it right? I mean, 19 00:01:13,480 --> 00:01:16,160 Speaker 1: with two back to back conventions and the old days 20 00:01:16,160 --> 00:01:17,840 Speaker 1: I used to give us a break in between, but 21 00:01:17,920 --> 00:01:20,240 Speaker 1: not anymore. No rest for the weird. All right, So 22 00:01:20,280 --> 00:01:22,399 Speaker 1: what was your big takeaway last night from President Trump's 23 00:01:22,400 --> 00:01:25,399 Speaker 1: big speech? You know, he went big, I mean, you know, 24 00:01:25,600 --> 00:01:30,200 Speaker 1: grand uh inference off the Truman balcony, big stage, on 25 00:01:30,280 --> 00:01:33,360 Speaker 1: the south lawn of the White House, fireworks and even 26 00:01:33,360 --> 00:01:36,320 Speaker 1: the speech, all seventy minutes of it was filled with 27 00:01:37,280 --> 00:01:40,240 Speaker 1: going big or going home. So I don't know if 28 00:01:40,280 --> 00:01:42,840 Speaker 1: it's going to help him politically, but it was certainly 29 00:01:42,920 --> 00:01:45,360 Speaker 1: something to watch. You know, I was struck by this. 30 00:01:45,400 --> 00:01:47,040 Speaker 1: I want to take folks behind the scenes because so 31 00:01:47,120 --> 00:01:48,840 Speaker 1: much has been made of the of the length, and 32 00:01:48,880 --> 00:01:50,720 Speaker 1: of course folks coming up. We're gonna talk about the 33 00:01:50,760 --> 00:01:53,600 Speaker 1: policy and the politics. But let's you know, we're kicking 34 00:01:53,600 --> 00:01:57,640 Speaker 1: things off. It's a Friday seventy minutes. The reason he 35 00:01:57,720 --> 00:02:00,040 Speaker 1: did that, did he not Rick Davis, you know, of 36 00:02:00,080 --> 00:02:01,560 Speaker 1: the ins and outs of all of this? Was it 37 00:02:01,640 --> 00:02:05,200 Speaker 1: because he wanted to drown out the panels on cable 38 00:02:05,280 --> 00:02:08,320 Speaker 1: news and say, listen, this is my night and I'm 39 00:02:08,320 --> 00:02:12,640 Speaker 1: gonna I'm gonna talk about it instead of the panels 40 00:02:12,680 --> 00:02:18,200 Speaker 1: dissecting it. He's always liked long speeches. Um, whether it's 41 00:02:18,240 --> 00:02:21,680 Speaker 1: a broadcasted speech on a rally where it's really just 42 00:02:21,720 --> 00:02:24,040 Speaker 1: whatever the local news is going to carry, He'll go 43 00:02:24,120 --> 00:02:26,760 Speaker 1: for hours. I mean, and his first speech at the 44 00:02:27,440 --> 00:02:30,919 Speaker 1: convention four years ago was actually a little bit longer 45 00:02:30,919 --> 00:02:34,040 Speaker 1: than this one. Um, But like he wants to dominate. Sure, 46 00:02:34,320 --> 00:02:37,360 Speaker 1: he doesn't want anybody talking over his speech. Um, he 47 00:02:37,440 --> 00:02:40,440 Speaker 1: wants to go into the second hour. And uh, and 48 00:02:40,520 --> 00:02:43,880 Speaker 1: it does give him more throw weight. But uh, it 49 00:02:43,960 --> 00:02:47,800 Speaker 1: only matters really if you have something to say. And 50 00:02:47,800 --> 00:02:50,400 Speaker 1: the reality is, I'm not sure there was enough meat 51 00:02:50,960 --> 00:02:54,800 Speaker 1: for undecided voters or for swing voters. Uh. Certainly not 52 00:02:54,919 --> 00:02:58,519 Speaker 1: in that last ten minutes, um, when when he wanted 53 00:02:58,560 --> 00:03:02,120 Speaker 1: to really capture their attention. But nonetheless, uh, he's in 54 00:03:02,120 --> 00:03:05,520 Speaker 1: the domination. Uh. He wants to, you know, step on 55 00:03:05,600 --> 00:03:09,840 Speaker 1: everybody's news cycle, and he is a master at that craft. 56 00:03:10,000 --> 00:03:12,880 Speaker 1: Well what did what does it matter that there wasn't 57 00:03:12,919 --> 00:03:14,560 Speaker 1: that mean on the I mean, because the ratings were 58 00:03:14,600 --> 00:03:18,359 Speaker 1: down for both conventions. I would argue that Kenosha, Wisconsin 59 00:03:18,480 --> 00:03:20,959 Speaker 1: really upended this race much more than the Democrat or 60 00:03:21,080 --> 00:03:24,320 Speaker 1: Republican convention. You had Joe Biden scrambling to put out 61 00:03:24,320 --> 00:03:26,520 Speaker 1: a statement in his staff putting out a statement to 62 00:03:26,560 --> 00:03:29,799 Speaker 1: condemn the violence. Then you have the Republicans scrambling to 63 00:03:29,960 --> 00:03:33,680 Speaker 1: insert lines in their various speeches right up until the 64 00:03:33,720 --> 00:03:38,600 Speaker 1: final hours to get uh the some some Kenosha, Wisconsin 65 00:03:39,000 --> 00:03:42,160 Speaker 1: language in there. And and then you got the hurricane 66 00:03:42,200 --> 00:03:43,920 Speaker 1: whack in the Gulf Coast, which I have always been 67 00:03:43,920 --> 00:03:46,160 Speaker 1: making the case. I think it's gonna put more pressure 68 00:03:46,200 --> 00:03:48,520 Speaker 1: on some of those Texas Delegation members to get on 69 00:03:48,560 --> 00:03:52,400 Speaker 1: board for fiscal stimulus. But uh, you know, Rick Davis, 70 00:03:52,640 --> 00:03:54,480 Speaker 1: we're heading into the Sunday shows, no one's gonna be 71 00:03:54,480 --> 00:03:56,480 Speaker 1: talking about the conventions. They're gonna be talking about Kenosha. 72 00:03:56,480 --> 00:04:00,280 Speaker 1: Am I wrong. No, The conventions are actually really end 73 00:04:00,320 --> 00:04:03,080 Speaker 1: of a primary season which nobody really paid much attention 74 00:04:03,080 --> 00:04:06,320 Speaker 1: to this year because of COVID and uh it was 75 00:04:06,360 --> 00:04:09,880 Speaker 1: just the most uninteresting primary cycle that I can remember. 76 00:04:10,080 --> 00:04:12,560 Speaker 1: And and they're not even really the start of the 77 00:04:12,560 --> 00:04:16,919 Speaker 1: general election, although both candidates tested out their general election 78 00:04:17,480 --> 00:04:21,000 Speaker 1: themes and so uh sure they they got stepped on 79 00:04:21,080 --> 00:04:24,520 Speaker 1: big time by by two names that word at the conventions, 80 00:04:24,720 --> 00:04:28,440 Speaker 1: Laura and and and Blake. So uh those were the 81 00:04:28,480 --> 00:04:32,240 Speaker 1: newsmakers this week. Uh and and and and yet at 82 00:04:32,279 --> 00:04:34,960 Speaker 1: the same time, at least guys like us got to 83 00:04:35,000 --> 00:04:37,120 Speaker 1: see inside what we're going to be seeing for the 84 00:04:37,160 --> 00:04:40,240 Speaker 1: next sixty days, which is a really a battle for 85 00:04:40,320 --> 00:04:44,400 Speaker 1: the soul of suburbia. And I think that that's that 86 00:04:44,480 --> 00:04:46,440 Speaker 1: piece of it is more clear now than it was 87 00:04:46,480 --> 00:04:49,520 Speaker 1: going into these two conventions. Well, and I thought my 88 00:04:49,640 --> 00:04:56,640 Speaker 1: takeaway from from the White House yesterday was the populist 89 00:04:56,920 --> 00:05:00,760 Speaker 1: rhetoric wrapped in a suburban tone, and especially as it 90 00:05:00,800 --> 00:05:03,320 Speaker 1: relates to China, from what the President said, because it 91 00:05:03,320 --> 00:05:05,120 Speaker 1: was a much more measure it was. It was President 92 00:05:05,120 --> 00:05:08,240 Speaker 1: Trump using his measured tone for the national address. It 93 00:05:08,320 --> 00:05:12,279 Speaker 1: wasn't you know, the bombastic uh acts that we see 94 00:05:12,839 --> 00:05:15,919 Speaker 1: on the campaign trail. But to your point, for the 95 00:05:16,000 --> 00:05:21,279 Speaker 1: suburbs in particular, you know, capital gains, tax China and whatnot, 96 00:05:21,880 --> 00:05:24,680 Speaker 1: and and this this issue of law and order, school choice, 97 00:05:25,240 --> 00:05:29,119 Speaker 1: are they going to be effective in making that case 98 00:05:29,160 --> 00:05:31,640 Speaker 1: to the suburbs? Rick Davis, who you know, you've been 99 00:05:31,640 --> 00:05:35,599 Speaker 1: in the room, You've watched these special and special uh 100 00:05:35,800 --> 00:05:38,960 Speaker 1: the polling groups and blacking on the behind the scenes. 101 00:05:39,160 --> 00:05:42,200 Speaker 1: Is that going to be enough? Yeah? I think that 102 00:05:42,440 --> 00:05:44,839 Speaker 1: it depends on which voter you're talking to. There's there 103 00:05:44,880 --> 00:05:48,520 Speaker 1: are Trump voters in the suburbs who abandoned him UH 104 00:05:48,600 --> 00:05:52,039 Speaker 1: in two thousand eighteen that he wants back. And and 105 00:05:52,120 --> 00:05:54,000 Speaker 1: some of those are inclined to be for him. They 106 00:05:54,000 --> 00:05:57,600 Speaker 1: were for him in sixteen and and and their preference 107 00:05:57,600 --> 00:05:59,919 Speaker 1: would probably be for him, but his own behavior is 108 00:06:00,080 --> 00:06:04,520 Speaker 1: what has alienated them to UH supporting him. And so 109 00:06:04,920 --> 00:06:07,560 Speaker 1: some of these things are going to be I don't know. 110 00:06:07,600 --> 00:06:11,280 Speaker 1: I wouldn't say excuses to vote for him again, but 111 00:06:11,920 --> 00:06:15,960 Speaker 1: voters rational rationalized y and that could be it. Others 112 00:06:16,120 --> 00:06:20,040 Speaker 1: are voters that are truly up for grabs, not too 113 00:06:20,080 --> 00:06:22,120 Speaker 1: many of them, but enough to swing a bunch of states. 114 00:06:22,680 --> 00:06:25,880 Speaker 1: And they are looking for a reason to support Biden, 115 00:06:26,279 --> 00:06:29,400 Speaker 1: and they're uncomfortable with the Democratic Party with its left tilt, 116 00:06:29,880 --> 00:06:32,760 Speaker 1: and yet at the same time they've already decided not 117 00:06:32,839 --> 00:06:35,680 Speaker 1: to support Trump, and so they're up for grabs. If 118 00:06:35,720 --> 00:06:38,120 Speaker 1: they don't vote, it could hurt Biden. But if they 119 00:06:38,120 --> 00:06:39,919 Speaker 1: turn out for him, it could swing a bunch of 120 00:06:39,960 --> 00:06:42,760 Speaker 1: these states, especially these key Midwestern states. Well, you know, 121 00:06:42,800 --> 00:06:45,120 Speaker 1: I was looking at the Bloomberg terminal. Victatus is on 122 00:06:45,160 --> 00:06:47,160 Speaker 1: with us, and Rick, of course is a partner at 123 00:06:47,200 --> 00:06:49,840 Speaker 1: Stone Court Capital and he's the former campaign manager for 124 00:06:49,920 --> 00:06:52,480 Speaker 1: John mckein's O eight presidential campaign, and of course the 125 00:06:52,480 --> 00:06:54,880 Speaker 1: Bloomberg contributor. I was looking on the terminal and I 126 00:06:54,920 --> 00:06:57,560 Speaker 1: see all this different data. You've got the markets have 127 00:06:57,640 --> 00:07:01,280 Speaker 1: adjusted for for for Joe Biden victory, and then you've 128 00:07:01,279 --> 00:07:04,960 Speaker 1: got volatility markets brace for an election like election drama 129 00:07:05,040 --> 00:07:08,880 Speaker 1: like never before, based upon the reports of the potential 130 00:07:08,920 --> 00:07:12,560 Speaker 1: prolonged election return process. At the end of the day, 131 00:07:12,560 --> 00:07:15,520 Speaker 1: it's gonna come down to who. It's gonna come down 132 00:07:15,560 --> 00:07:17,760 Speaker 1: to the economy and the pandemic. I mean, we kind 133 00:07:17,760 --> 00:07:20,600 Speaker 1: of know the contours of this race and and and 134 00:07:20,640 --> 00:07:23,400 Speaker 1: it's a base turnout election for both sides. So in 135 00:07:23,440 --> 00:07:27,600 Speaker 1: many ways, the strategy for we've it's not it doesn't 136 00:07:27,720 --> 00:07:30,760 Speaker 1: it isn't that unusual. For as many people saying it's unusual, 137 00:07:31,200 --> 00:07:34,200 Speaker 1: it's not that unusual in terms of the track. Oh no, 138 00:07:34,360 --> 00:07:36,200 Speaker 1: it's not unusual at all. And I would say there's 139 00:07:36,200 --> 00:07:39,000 Speaker 1: a third issue that that that Donald Trump spent a 140 00:07:39,040 --> 00:07:42,200 Speaker 1: lot of time on in his convention speech last night, 141 00:07:42,600 --> 00:07:46,280 Speaker 1: and that's law and order, and that's racial injustice. And uh, 142 00:07:46,400 --> 00:07:48,440 Speaker 1: it's racial injustice to the Democrats, and its law and 143 00:07:48,520 --> 00:07:52,720 Speaker 1: orders Donald Trump, and so you know, COVID economy and 144 00:07:52,840 --> 00:07:57,040 Speaker 1: social racial injustice going to be where the battleground is. 145 00:07:57,400 --> 00:07:58,720 Speaker 1: And yeah, and I think you can love trying to 146 00:07:58,760 --> 00:08:02,120 Speaker 1: in with the pandemic, but see your point when you 147 00:08:02,440 --> 00:08:04,800 Speaker 1: when you think about the suburbs, I mean, let's get 148 00:08:04,840 --> 00:08:09,240 Speaker 1: really in the weeds, specifically, where which parts of the country, 149 00:08:09,400 --> 00:08:13,440 Speaker 1: like which parts of Michigan and Wisconsin is the president 150 00:08:13,640 --> 00:08:17,360 Speaker 1: really really going after? So I think of caller counties 151 00:08:17,360 --> 00:08:21,560 Speaker 1: around cities, right and so in you know, Phoenix, Arizona, 152 00:08:21,720 --> 00:08:26,160 Speaker 1: the biggest county in the state's Maricopa County. Uh, elections 153 00:08:26,160 --> 00:08:29,520 Speaker 1: are won and lost in Merricopa County, MacComb County in Michigan. 154 00:08:29,560 --> 00:08:32,200 Speaker 1: I mean, elections are won and lost in Macomb County 155 00:08:32,200 --> 00:08:35,480 Speaker 1: in Michigan, Broward County in Florida. And so these are 156 00:08:35,559 --> 00:08:39,360 Speaker 1: counties that are outside the main city hub, whether it's 157 00:08:39,880 --> 00:08:45,760 Speaker 1: Phoenix or Detroit or Miami respectively, and and and they 158 00:08:45,880 --> 00:08:49,960 Speaker 1: have the ability to swing elections and so uh and 159 00:08:50,000 --> 00:08:53,360 Speaker 1: in some cases they they offset the losses. For instance, 160 00:08:53,400 --> 00:08:56,240 Speaker 1: for a Republican who might lose big in the city 161 00:08:56,640 --> 00:09:00,400 Speaker 1: could pick up support outside in the suburbs and therefore 162 00:09:00,480 --> 00:09:02,960 Speaker 1: make the rest of the state competitive. So so the 163 00:09:03,120 --> 00:09:06,720 Speaker 1: formula is, in some states, hold my losses in the 164 00:09:06,760 --> 00:09:09,520 Speaker 1: city down by winning big in the suburbs. In some cases, 165 00:09:09,559 --> 00:09:11,880 Speaker 1: I win the state if I win the suburb and 166 00:09:12,040 --> 00:09:14,440 Speaker 1: uh and and and that is the battleground. And in 167 00:09:14,520 --> 00:09:18,000 Speaker 1: some cases, uh, they have these things called x burbs, 168 00:09:18,040 --> 00:09:20,040 Speaker 1: which is, you know, sort of where the suburbs have 169 00:09:20,160 --> 00:09:24,280 Speaker 1: grown and uh and and and they've become in play too. 170 00:09:24,360 --> 00:09:28,240 Speaker 1: And that's been the case really since I got involved 171 00:09:28,240 --> 00:09:31,880 Speaker 1: in politics during Ronald Reagan's in seventy six and eighty, 172 00:09:32,000 --> 00:09:35,800 Speaker 1: so this is not new. But those people move from 173 00:09:35,880 --> 00:09:38,439 Speaker 1: the Democratic Party of the Reportica Party and vice versa. 174 00:09:39,000 --> 00:09:43,160 Speaker 1: And and that's where the battle for national offices is waged. 175 00:09:43,320 --> 00:09:45,120 Speaker 1: All right, then I have a question for you. Your 176 00:09:45,120 --> 00:09:48,880 Speaker 1: biggest winner and loser of the of the past two weeks. Quickly, 177 00:09:50,200 --> 00:09:52,520 Speaker 1: the biggest winner and loser, I would say one of 178 00:09:52,559 --> 00:09:58,360 Speaker 1: the biggest winners is uh the uh the rural call 179 00:09:58,480 --> 00:10:01,560 Speaker 1: vote for both the Blipkins and Democrats. I mean, I 180 00:10:01,640 --> 00:10:04,680 Speaker 1: took away from the conventions. I hated roll call votes 181 00:10:04,720 --> 00:10:08,199 Speaker 1: when I ran conventions because they were uninteresting and time consuming. 182 00:10:08,760 --> 00:10:10,440 Speaker 1: But I gotta tell you, I'm newly in love with 183 00:10:10,520 --> 00:10:13,640 Speaker 1: them because I think they made it really human, eyes 184 00:10:13,760 --> 00:10:17,120 Speaker 1: and and and fun. I would say that the biggest 185 00:10:17,160 --> 00:10:20,760 Speaker 1: losers was was was the networks. Uh they didn't have 186 00:10:20,760 --> 00:10:24,080 Speaker 1: anybody watching these conventions and so they didn't get to 187 00:10:24,080 --> 00:10:27,640 Speaker 1: sell very much TV time. Enough, said Rick Davis, partner 188 00:10:27,679 --> 00:10:30,000 Speaker 1: at Stoke Corp Capital. Thank you, my friend, appreciate your 189 00:10:30,000 --> 00:10:36,199 Speaker 1: time to set. Bloomberg did nine one. This is Bloomberg 190 00:10:36,360 --> 00:10:41,120 Speaker 1: Sound On with Kevin Shirley on Bloomberg and one or 191 00:10:41,120 --> 00:10:44,480 Speaker 1: five point seven m D two. My name is Kevin S. Really. 192 00:10:44,520 --> 00:10:47,439 Speaker 1: I am the chief Washington correspondent for Bloomberg Television and 193 00:10:47,559 --> 00:10:51,400 Speaker 1: Bloomberg Radio. I want to talk to geo politics for China. 194 00:10:52,440 --> 00:10:56,839 Speaker 1: China was front and center at the conventions this week, 195 00:10:57,120 --> 00:11:00,680 Speaker 1: and and and foreign policy as a whole. Eli Lake 196 00:11:00,880 --> 00:11:02,800 Speaker 1: is a good friend of mine and the program. He 197 00:11:02,840 --> 00:11:06,720 Speaker 1: has a Bloomberg opinion columnists covering national security and foreign policy. 198 00:11:07,040 --> 00:11:09,720 Speaker 1: He was a senior national security correspondent for The Daily 199 00:11:09,760 --> 00:11:13,520 Speaker 1: Beast and covered national security and intelligence for The Washington Times, 200 00:11:13,920 --> 00:11:17,280 Speaker 1: UH then and The New York Sun and U P I, Eli, 201 00:11:17,360 --> 00:11:20,640 Speaker 1: You've got this great new column out on the Bloomberg 202 00:11:20,720 --> 00:11:25,640 Speaker 1: terminal headline Trump doctrine aims to end wars but keep threats. 203 00:11:25,760 --> 00:11:28,960 Speaker 1: At this week's Republican National Convention, you write, one could 204 00:11:29,000 --> 00:11:32,840 Speaker 1: be forgiven for being confused about President Donald Trump's foreign policy. 205 00:11:33,200 --> 00:11:36,560 Speaker 1: On the one hand, his endorsers praised his smashing of 206 00:11:36,600 --> 00:11:40,080 Speaker 1: the Islamic States Caliphate and killing of Iran's terror mastermind 207 00:11:40,400 --> 00:11:44,280 Speaker 1: Kasam Silamani. On the other hand, speakers who touted Trump's 208 00:11:44,280 --> 00:11:48,080 Speaker 1: commitment to reduce America's military footprint in the world. So 209 00:11:48,120 --> 00:11:53,320 Speaker 1: what is it, Eli Lake, Well, in some ways, and 210 00:11:53,360 --> 00:11:55,960 Speaker 1: I think it's fair to say that this is a 211 00:11:56,000 --> 00:11:59,200 Speaker 1: little incoherent, because if you're going to be, you know, 212 00:11:59,600 --> 00:12:02,000 Speaker 1: talking big, you should also carry a big stick to 213 00:12:02,320 --> 00:12:06,920 Speaker 1: you know, mangle the Teddy Roosevelt truism. But what I 214 00:12:06,920 --> 00:12:09,240 Speaker 1: think we're seeing with Trump is that most of his 215 00:12:09,320 --> 00:12:13,040 Speaker 1: actions there are of course exceptions like Cossum Sulamani, but 216 00:12:13,080 --> 00:12:16,440 Speaker 1: most of his actions are in the economic warfare realm, 217 00:12:16,480 --> 00:12:19,360 Speaker 1: and those are sanctions which he has continued to ratch 218 00:12:19,400 --> 00:12:23,319 Speaker 1: it up against Iran. We're seeing a pretty concerted political, diplomatic, 219 00:12:23,320 --> 00:12:28,040 Speaker 1: and economic campaign against China, and you're seeing it also um, 220 00:12:28,080 --> 00:12:31,320 Speaker 1: of course, with Venezuela, which is primarily it's a diplomatic 221 00:12:31,400 --> 00:12:35,959 Speaker 1: recognition of Juan Guido combined with increasing sanctions on its 222 00:12:36,000 --> 00:12:38,520 Speaker 1: main export with his oil. And even in the case 223 00:12:38,520 --> 00:12:41,080 Speaker 1: of Russia, where you know, he's obviously gotten four years 224 00:12:41,080 --> 00:12:43,559 Speaker 1: of Democrats accusing him of all kinds of things with Russia, 225 00:12:43,840 --> 00:12:47,120 Speaker 1: but his administration has, you know, increased sanctions largely against Russia, 226 00:12:47,120 --> 00:12:49,160 Speaker 1: even though the president often acts like he wants to 227 00:12:49,160 --> 00:12:52,080 Speaker 1: be friends with Putin, and all of that suggests to 228 00:12:52,080 --> 00:12:54,439 Speaker 1: me that that what they're trying to do is sort 229 00:12:54,440 --> 00:12:59,240 Speaker 1: of keeps the bella coffeity of a traditional strong interventionist 230 00:12:59,320 --> 00:13:01,920 Speaker 1: approached arm policies. I mean, we would associate with George W. 231 00:13:02,040 --> 00:13:06,560 Speaker 1: Buche while also adopting the rhetoric and in some cases 232 00:13:06,600 --> 00:13:08,960 Speaker 1: the actual policies were seeing in Afghanistan in the news 233 00:13:08,960 --> 00:13:11,640 Speaker 1: today with the rock of bringing the troops home, which 234 00:13:11,679 --> 00:13:13,839 Speaker 1: we associate as the sort of rhetoric of the anti 235 00:13:13,840 --> 00:13:16,800 Speaker 1: war movement, and h he's trying to sort of thread 236 00:13:16,800 --> 00:13:20,520 Speaker 1: that needle, and he does so by kind of waging 237 00:13:20,880 --> 00:13:27,640 Speaker 1: um unilateral economic warfare while trying to end what he 238 00:13:27,679 --> 00:13:30,680 Speaker 1: calls endless wars. In a lot of ways, it's really 239 00:13:30,720 --> 00:13:34,439 Speaker 1: incoherent and I think it does present some potential problems. 240 00:13:34,440 --> 00:13:37,199 Speaker 1: As I say at the end of that column, economic 241 00:13:37,280 --> 00:13:41,479 Speaker 1: sanctions are often a prelude to military conflict, not necessarily 242 00:13:41,520 --> 00:13:44,840 Speaker 1: a substitute for them, But that is the approach, and 243 00:13:44,960 --> 00:13:47,280 Speaker 1: you know, so I sort of took my best shot 244 00:13:47,320 --> 00:13:49,839 Speaker 1: at explaining it in terms of a doctrine. Well. I 245 00:13:50,200 --> 00:13:52,520 Speaker 1: was thinking about this all week because when I've been 246 00:13:52,559 --> 00:13:56,560 Speaker 1: having some recent interviews with some foreign policy advisors to 247 00:13:56,640 --> 00:13:59,719 Speaker 1: Joe Biden, Eli they keep they make the point that 248 00:14:00,320 --> 00:14:06,360 Speaker 1: a Biden administration would rely on on restoring restoring UH 249 00:14:06,679 --> 00:14:10,720 Speaker 1: partnerships and and and allies, and taking a multilateral approach 250 00:14:10,880 --> 00:14:16,000 Speaker 1: versus a unilateral approach. They argue, the president takes his takes. 251 00:14:16,040 --> 00:14:18,600 Speaker 1: But with President Trump, this is what I find interesting, 252 00:14:18,679 --> 00:14:23,680 Speaker 1: is because he's without question preferred to have unilateral discussions 253 00:14:23,760 --> 00:14:27,640 Speaker 1: or multi um or bilateral conversations on the economic front, 254 00:14:28,080 --> 00:14:32,360 Speaker 1: especially with Europe. But then what we've since heard is, well, no, 255 00:14:32,520 --> 00:14:36,720 Speaker 1: I am restoring the Western allies because look at NATO. 256 00:14:36,800 --> 00:14:38,440 Speaker 1: I was able to because of it. This is what 257 00:14:38,560 --> 00:14:40,640 Speaker 1: big point he makes, because I was able to really 258 00:14:40,960 --> 00:14:43,760 Speaker 1: heavy hit and hard press in one offs, I was 259 00:14:43,840 --> 00:14:46,400 Speaker 1: able to boost funding for NATO as a whole. So 260 00:14:46,520 --> 00:14:51,240 Speaker 1: to your point, he's he's walking this very tight rope, 261 00:14:51,280 --> 00:14:54,120 Speaker 1: this this balancing act of sorts of on one hand saying, 262 00:14:54,480 --> 00:14:56,480 Speaker 1: you know, we're gonna go tough and just do country 263 00:14:56,480 --> 00:14:57,880 Speaker 1: by country, but on the other hand he's saying, well, 264 00:14:57,880 --> 00:15:00,800 Speaker 1: I I did boost the allies, so on NATO, of specifically, 265 00:15:01,440 --> 00:15:05,200 Speaker 1: where does that play into this? Well, on NATO, I 266 00:15:05,240 --> 00:15:09,480 Speaker 1: don't think that the salesmanship of the convention of the 267 00:15:09,480 --> 00:15:14,040 Speaker 1: White House is the whole story. It's true that um 268 00:15:14,240 --> 00:15:19,320 Speaker 1: Trump's rhetoric and especially things he said in the campaign, 269 00:15:19,760 --> 00:15:22,400 Speaker 1: contributed to a sense I think with some NATO allies 270 00:15:22,400 --> 00:15:27,280 Speaker 1: before we're seeing this world economic calamity because of COVID 271 00:15:27,600 --> 00:15:31,040 Speaker 1: to increase their commitments over time, and that is largely 272 00:15:31,040 --> 00:15:34,040 Speaker 1: a good thing. And by the way, uh, every president 273 00:15:34,080 --> 00:15:36,880 Speaker 1: I think since like Gerald Ford, has tried to get 274 00:15:36,920 --> 00:15:40,160 Speaker 1: this done and Trump deserves some credit for that. On 275 00:15:40,200 --> 00:15:45,560 Speaker 1: the other hand, Trump's failure in to say the words 276 00:15:45,600 --> 00:15:47,920 Speaker 1: that he believes in the article five com movements of NATO, 277 00:15:47,960 --> 00:15:49,720 Speaker 1: which is that a one member's attack from there all 278 00:15:49,760 --> 00:15:53,320 Speaker 1: attack that's kind of the point of the entire treaty, Well, 279 00:15:53,360 --> 00:15:57,080 Speaker 1: that's potentially really dangerous. We haven't seen those consequences yet. 280 00:15:57,400 --> 00:16:01,800 Speaker 1: But if someone like Vladimir Putin interprets those signals from 281 00:16:01,800 --> 00:16:04,880 Speaker 1: Trump as you know, you can do things that he 282 00:16:04,920 --> 00:16:08,000 Speaker 1: wouldn't have done before in the very vulnerable Baltic countries, 283 00:16:08,480 --> 00:16:11,360 Speaker 1: well then we really will have a major crisis, which 284 00:16:11,400 --> 00:16:14,920 Speaker 1: could lead to a to a large scale conflict or 285 00:16:14,920 --> 00:16:18,120 Speaker 1: a war, or it will lead to, you know, the 286 00:16:18,160 --> 00:16:21,840 Speaker 1: further re establishment of the old Soviet Union. So those 287 00:16:21,880 --> 00:16:24,760 Speaker 1: are really bad outcomes. And Trump is playing with fire 288 00:16:25,360 --> 00:16:29,040 Speaker 1: when he he's ambiguous on whether the United States would 289 00:16:29,080 --> 00:16:33,360 Speaker 1: honor those equipments. I stay, it's really never been tested, 290 00:16:33,920 --> 00:16:39,400 Speaker 1: and past presidents have committed to defend countries like Estonia, Lithuania, 291 00:16:39,440 --> 00:16:43,720 Speaker 1: and Latvia, and that's good, but you know, I mean, 292 00:16:43,760 --> 00:16:46,480 Speaker 1: it's also true that I mean if if you can 293 00:16:46,560 --> 00:16:49,200 Speaker 1: imagine if if if Russian tanks were rolling into one 294 00:16:49,240 --> 00:16:52,760 Speaker 1: of those countries, do you think President Obama would you know, 295 00:16:52,920 --> 00:16:55,000 Speaker 1: tell the address everybody to day we have to go 296 00:16:55,040 --> 00:16:57,280 Speaker 1: to war now with Russia. Well, they would argue that 297 00:16:57,400 --> 00:17:00,120 Speaker 1: he didn't perform as aggressively as he should have in 298 00:17:00,160 --> 00:17:02,400 Speaker 1: the Crimea instance. Eli, I have so many questions, but 299 00:17:02,440 --> 00:17:05,120 Speaker 1: I want to cover this point because Thomas Friedman wrote 300 00:17:05,119 --> 00:17:08,600 Speaker 1: earlier this week in The New York Times about Germany 301 00:17:08,680 --> 00:17:12,760 Speaker 1: playing such an important role uh in in a Biden administration. 302 00:17:12,880 --> 00:17:16,600 Speaker 1: Simply if if you believe the reports and and all 303 00:17:16,640 --> 00:17:19,959 Speaker 1: of the general thinking that we're about to enter into 304 00:17:20,480 --> 00:17:24,320 Speaker 1: a tech cold war of sorts with China, the Communist 305 00:17:24,359 --> 00:17:29,040 Speaker 1: Party of China. Uh, then Freedman writes that Germany is 306 00:17:29,080 --> 00:17:33,520 Speaker 1: going to be a really important role in that. Rick 307 00:17:33,560 --> 00:17:36,760 Speaker 1: Granell spoke uh He, of course was the former ambassador 308 00:17:36,920 --> 00:17:39,919 Speaker 1: for Germany before the acting Director of National Intelligence. What 309 00:17:40,000 --> 00:17:42,800 Speaker 1: do you make respond to Freedman, Eli Lake, because I 310 00:17:42,880 --> 00:17:44,560 Speaker 1: just let it rip, because this is a Friday treat 311 00:17:44,600 --> 00:17:48,320 Speaker 1: for me. Well, I mean, listen, I think that the 312 00:17:48,400 --> 00:17:52,960 Speaker 1: Term administration deserves enormous credit for what they've managed to 313 00:17:53,000 --> 00:17:56,440 Speaker 1: accomplish with regards to Wawei and the larger problem of 314 00:17:57,119 --> 00:18:00,760 Speaker 1: sort of China's infiltration of institutions and other parts of 315 00:18:00,760 --> 00:18:05,159 Speaker 1: the economy. They're bad actor, and the Trump administration is 316 00:18:05,320 --> 00:18:09,280 Speaker 1: starting at home with a pretty significant counterintelligence effort to 317 00:18:09,560 --> 00:18:14,480 Speaker 1: expose fronts for a Chinese intelligence to a significant diplomatic 318 00:18:14,520 --> 00:18:17,360 Speaker 1: effort to try to get country so getting the UK 319 00:18:17,520 --> 00:18:19,639 Speaker 1: to kind of reverse its decision on Huawei was a 320 00:18:19,640 --> 00:18:22,960 Speaker 1: really big win and we'll see, you know, I mean, 321 00:18:23,400 --> 00:18:26,119 Speaker 1: the people will follow on TikTok, and that's more controversially 322 00:18:26,200 --> 00:18:28,960 Speaker 1: written about that. So I mean, I think that I 323 00:18:28,960 --> 00:18:32,440 Speaker 1: remember that Freedman comment, and I think the Freedman undersells 324 00:18:32,480 --> 00:18:35,720 Speaker 1: sort of what the Trump administration has been able to do. 325 00:18:36,200 --> 00:18:38,359 Speaker 1: Freedman's big hobby horse we're trying to have agreed with 326 00:18:38,440 --> 00:18:39,880 Speaker 1: him and has been saying for the last four years, 327 00:18:39,920 --> 00:18:42,960 Speaker 1: which he's totally right about, is that if you really 328 00:18:43,000 --> 00:18:46,119 Speaker 1: wanted to do something bad to China, you would not 329 00:18:46,160 --> 00:18:49,480 Speaker 1: have abandoned with the Transpacific Partnership. That was a trade 330 00:18:49,520 --> 00:18:52,639 Speaker 1: agreement with all of China's neighbors that excluded China. That 331 00:18:52,680 --> 00:18:55,080 Speaker 1: would be a good thing right around now and would 332 00:18:55,080 --> 00:18:57,639 Speaker 1: make it easier to wage what I think is a 333 00:18:57,720 --> 00:19:02,120 Speaker 1: necessary tech cold war with Tina. I think he's kind 334 00:19:02,119 --> 00:19:06,000 Speaker 1: of correct about Germany, and let's we will The Germans 335 00:19:06,000 --> 00:19:08,439 Speaker 1: are in no position at this point. We're asking the 336 00:19:08,440 --> 00:19:11,840 Speaker 1: Germans to take a harder line on Russia and on 337 00:19:12,040 --> 00:19:13,800 Speaker 1: China and at the same time, and I think the 338 00:19:13,800 --> 00:19:16,280 Speaker 1: Germans are gonna say, we gotta choose one. If we 339 00:19:16,320 --> 00:19:18,840 Speaker 1: have to choose at all. So I'm not so sure. 340 00:19:18,960 --> 00:19:21,040 Speaker 1: I mean, I don't know of that the Biden administrations 341 00:19:21,119 --> 00:19:25,119 Speaker 1: necessarily going to have more success, But that still doesn't 342 00:19:25,160 --> 00:19:27,120 Speaker 1: mean that the effort is not going to be serious 343 00:19:27,119 --> 00:19:29,760 Speaker 1: and worth it, because you're gonna still other countries, I think, 344 00:19:29,760 --> 00:19:33,600 Speaker 1: following America's lead, and in a weird way in terms 345 00:19:33,600 --> 00:19:38,000 Speaker 1: of a persuasion campaign, best ally that the United States 346 00:19:38,000 --> 00:19:41,800 Speaker 1: has in this is usually paying himself. He's such a 347 00:19:41,840 --> 00:19:48,280 Speaker 1: predator his treatment of Hong Kong and treatment of weaker Now, yeah, anyway, 348 00:19:48,480 --> 00:19:50,119 Speaker 1: we gotta go. No. I could talk this all day 349 00:19:50,160 --> 00:19:52,000 Speaker 1: if I wasn't up against the clock, Eli, I could 350 00:19:52,040 --> 00:19:53,720 Speaker 1: talk to you for an hour and a half. Thank 351 00:19:53,720 --> 00:19:56,159 Speaker 1: you Eli. Like Bloomberg's opinion columnists more. Next, this is 352 00:19:56,160 --> 00:20:05,720 Speaker 1: Bloomberg nine one, Sound On the Insiders, the influencers, the inside. 353 00:20:06,000 --> 00:20:09,280 Speaker 1: We're responding to this crisis, and manufacturers are stepping up 354 00:20:09,320 --> 00:20:13,040 Speaker 1: like never before. You're looking at Tebny Kennedy for different vectines. 355 00:20:13,160 --> 00:20:15,800 Speaker 1: How do we make sure a pandemic of this scale 356 00:20:15,880 --> 00:20:19,920 Speaker 1: never happens again? This is Bloomberg Sound On with Kevin 357 00:20:20,720 --> 00:20:27,639 Speaker 1: on Bloomberg h D two final wrap up of the 358 00:20:27,760 --> 00:20:33,240 Speaker 1: Virtual Republican national convention, but it's already last cycles news. 359 00:20:33,280 --> 00:20:37,520 Speaker 1: We're pivoting to Kenosha, Wisconsin, which has upended the news cycle. 360 00:20:37,720 --> 00:20:41,080 Speaker 1: The latest developments from our verio, Mario Parker, plus the 361 00:20:41,119 --> 00:20:46,280 Speaker 1: economic realities and how the market is bracing for volatility 362 00:20:46,560 --> 00:20:49,119 Speaker 1: come November or December. How long will it take to 363 00:20:49,160 --> 00:20:51,800 Speaker 1: get an election result? First, it made it through the 364 00:20:51,920 --> 00:20:55,800 Speaker 1: end of the conventions, the Dems, the oars and UH. 365 00:20:55,840 --> 00:20:59,960 Speaker 1: But quite honestly, I think, more so than President Trump's 366 00:21:00,160 --> 00:21:04,400 Speaker 1: marathon seventy minute UH speech last night, more so than 367 00:21:04,840 --> 00:21:08,600 Speaker 1: us the debut of Kamala Harris on a national stage, 368 00:21:09,720 --> 00:21:12,439 Speaker 1: there were two other factors that really I think are 369 00:21:12,480 --> 00:21:14,560 Speaker 1: going to have more of a lasting impact on the 370 00:21:14,640 --> 00:21:18,159 Speaker 1: dynamics of the conversation of this of this election. And 371 00:21:18,200 --> 00:21:22,000 Speaker 1: that of course is Hurricane Laura, which has pummeled the 372 00:21:22,040 --> 00:21:25,720 Speaker 1: Golf coast and forced a lot of members in the 373 00:21:25,880 --> 00:21:30,439 Speaker 1: Texas delegation in nearby delegations to relook at their stance 374 00:21:30,440 --> 00:21:34,919 Speaker 1: on fiscal stimulus. And of course Kenosha, Wisconsin. And that's 375 00:21:34,960 --> 00:21:37,720 Speaker 1: where we begin tonight, because the fallout from Kenosha is 376 00:21:37,720 --> 00:21:40,240 Speaker 1: going to dominate the talk of the Sunday shows and 377 00:21:40,359 --> 00:21:44,840 Speaker 1: just a few short days, and uh, Mario Parker, my buddy, 378 00:21:44,840 --> 00:21:47,679 Speaker 1: Mario Parker, Bloomberg White House reporter is joining us on 379 00:21:47,720 --> 00:21:49,960 Speaker 1: the line. He's been all over this story and we're 380 00:21:50,080 --> 00:21:52,920 Speaker 1: and you know, I was reading our colleagues on the terminal, 381 00:21:53,200 --> 00:21:57,439 Speaker 1: Michael Sasso and Alex Tanzy, and their lead is is 382 00:21:57,800 --> 00:22:03,040 Speaker 1: is is really well well done? Ferguson Minneapolis, Kenosha clustered 383 00:22:03,040 --> 00:22:05,560 Speaker 1: together within a six d mile radius and the bread 384 00:22:05,560 --> 00:22:09,080 Speaker 1: basket of the US. They have become synonymous with America's 385 00:22:09,119 --> 00:22:13,879 Speaker 1: reckoning with racial injustice, sa Mario Parker. The Democrats have 386 00:22:14,440 --> 00:22:18,359 Speaker 1: scrambled to to put out statements in a way that 387 00:22:18,400 --> 00:22:21,720 Speaker 1: doesn't alienate their base but also says that they don't 388 00:22:21,720 --> 00:22:26,080 Speaker 1: support violence. Meanwhile, the Trump campaign was scrambling all week 389 00:22:26,160 --> 00:22:30,560 Speaker 1: to to put in their speeches in real time addressing 390 00:22:31,119 --> 00:22:33,760 Speaker 1: the dynamics of Kenosha, and and they're looking at this 391 00:22:33,800 --> 00:22:36,480 Speaker 1: through the prism of law and order, and the left 392 00:22:36,560 --> 00:22:39,040 Speaker 1: is looking at this through the prism of black lives matter. 393 00:22:40,280 --> 00:22:45,920 Speaker 1: How will swing voters view this on November three? Yeah, Well, Kevin, 394 00:22:45,960 --> 00:22:48,720 Speaker 1: as you mentioned, I mean, both sides have really dug 395 00:22:48,960 --> 00:22:52,399 Speaker 1: in their heels, which is very surprising. There's been no 396 00:22:52,520 --> 00:22:56,119 Speaker 1: give on either side between the Republicans or the Democrats 397 00:22:56,119 --> 00:22:59,040 Speaker 1: in terms of messaging. The Republicans of course, taking their 398 00:22:59,080 --> 00:23:02,040 Speaker 1: cue for President Trump and his law and order stands. 399 00:23:02,680 --> 00:23:08,400 Speaker 1: President Trump is betting that swing voters who supported the 400 00:23:08,440 --> 00:23:12,760 Speaker 1: Black Lives Matter movement earlier this summer early on are 401 00:23:13,000 --> 00:23:18,119 Speaker 1: going to be increasingly or are increasingly uncomfortable with the 402 00:23:18,160 --> 00:23:21,680 Speaker 1: images that they've been saying where in in which cases, 403 00:23:21,720 --> 00:23:26,760 Speaker 1: that it's turned into violent protests, violent riots, etcetera, and 404 00:23:26,840 --> 00:23:32,200 Speaker 1: that they're secretly um ready for some type of stable 405 00:23:32,280 --> 00:23:34,639 Speaker 1: law and order, and once they get to the battle 406 00:23:35,080 --> 00:23:38,919 Speaker 1: excuse me, vilot box, they're cast their votes for President Trump, 407 00:23:39,000 --> 00:23:41,119 Speaker 1: and so visa v the messaging that you hear from 408 00:23:41,200 --> 00:23:44,639 Speaker 1: him in terms of the silent majority. So there was 409 00:23:44,680 --> 00:23:47,120 Speaker 1: a report that came out in October of two thousand 410 00:23:47,240 --> 00:23:52,400 Speaker 1: and nineteen by some prominent UH policy groups in the Midwest, 411 00:23:52,440 --> 00:23:56,480 Speaker 1: the Eye of a Policy Project, Policy Matters, Ohio, COWS 412 00:23:56,520 --> 00:23:59,919 Speaker 1: and the Economic Analysis of Research Network or earned AT 413 00:24:00,119 --> 00:24:03,159 Speaker 1: and I was struck by this because nine of the 414 00:24:03,240 --> 00:24:07,960 Speaker 1: fourteen states with the widest disparity in white to black 415 00:24:08,040 --> 00:24:13,520 Speaker 1: incomes are in the Midwest. Wisconsin ranks third worst in 416 00:24:13,560 --> 00:24:16,720 Speaker 1: this category, and every single state in the region has 417 00:24:16,720 --> 00:24:19,960 Speaker 1: a higher ratio of black inmates to white inmates in 418 00:24:20,080 --> 00:24:24,560 Speaker 1: state prisons then the five to one I didn't five 419 00:24:24,600 --> 00:24:28,399 Speaker 1: to one national average. So you look at the you 420 00:24:28,400 --> 00:24:31,120 Speaker 1: look at the data, and and I want to bring 421 00:24:31,160 --> 00:24:34,000 Speaker 1: this conversation to something that you do better than anybody, Mario. 422 00:24:34,119 --> 00:24:39,080 Speaker 1: And that's a policy because uh Biden came out with 423 00:24:39,200 --> 00:24:42,640 Speaker 1: a position in the last two weeks where he suggested 424 00:24:42,720 --> 00:24:46,760 Speaker 1: he wants to tweak the Federal Reserve Act to have 425 00:24:46,920 --> 00:24:50,280 Speaker 1: diversity included in it. That's been a position, a policy 426 00:24:50,320 --> 00:24:54,640 Speaker 1: position that Senator Elizabeth Warren has put forth as well 427 00:24:54,680 --> 00:24:58,400 Speaker 1: as others, including House Financial Services Committee Chairwoman Maxine Waters, 428 00:24:58,840 --> 00:25:01,320 Speaker 1: they would like to see the Central Bank as as 429 00:25:01,359 --> 00:25:04,840 Speaker 1: a as a one part of their proposal central Bank 430 00:25:05,320 --> 00:25:10,199 Speaker 1: include diversity as as something in their mission statement that 431 00:25:10,280 --> 00:25:13,679 Speaker 1: they that they seek to address in terms of equality. 432 00:25:13,960 --> 00:25:17,400 Speaker 1: In contrast, and this is what you heard last night 433 00:25:17,720 --> 00:25:22,000 Speaker 1: from the President. He's saying economic revitalization is going to 434 00:25:22,600 --> 00:25:26,880 Speaker 1: help solve uh the inequality issue. And as he frequently notes, 435 00:25:27,520 --> 00:25:31,920 Speaker 1: prior to the pandemic, African American unemployment had been at 436 00:25:31,920 --> 00:25:38,880 Speaker 1: a record love. No, you're absolutely that's a very astute observation, 437 00:25:39,000 --> 00:25:45,520 Speaker 1: Kevin Uh. Joe Biden looking to appeal to this moment 438 00:25:45,680 --> 00:25:49,000 Speaker 1: right where it addresses the root cause of some of 439 00:25:49,000 --> 00:25:53,560 Speaker 1: the issues. Where President Trump differs is President Trump believes 440 00:25:53,600 --> 00:25:57,240 Speaker 1: that the economy, regardless of what's at the root, a 441 00:25:57,320 --> 00:26:01,399 Speaker 1: better economy of the panacea for all trouble. Earlier this year, 442 00:26:01,440 --> 00:26:04,719 Speaker 1: and he's repeated that several times since then, that he 443 00:26:04,800 --> 00:26:09,920 Speaker 1: had the sense that we were becoming more united given Uh, 444 00:26:10,160 --> 00:26:13,080 Speaker 1: the the economy, Well, one of the things that's been 445 00:26:13,119 --> 00:26:17,160 Speaker 1: exposed this summer, of course, is that um, at least 446 00:26:17,920 --> 00:26:23,040 Speaker 1: younger millennials African Americans have said, well, the economy, while 447 00:26:23,040 --> 00:26:25,960 Speaker 1: it was good, it wasn't working for everyone. Every it 448 00:26:26,119 --> 00:26:30,159 Speaker 1: was still uneven. And so Joe Biden and and of 449 00:26:30,240 --> 00:26:35,800 Speaker 1: course some of his his colleagues or supporters are advocating 450 00:26:35,880 --> 00:26:38,600 Speaker 1: to to remake the economy to be a little bit 451 00:26:38,640 --> 00:26:41,600 Speaker 1: more equitable. And it is. It is remarkable. And then 452 00:26:41,640 --> 00:26:44,280 Speaker 1: of course, all summer the images of these protests and 453 00:26:44,320 --> 00:26:46,960 Speaker 1: the unrest throughout the country really playing out. Take a 454 00:26:47,000 --> 00:26:49,000 Speaker 1: listen to what the President had to say is what 455 00:26:49,119 --> 00:26:52,800 Speaker 1: he described as the mob take a lissum. We must 456 00:26:52,840 --> 00:26:57,040 Speaker 1: never allow mob row. We can never allow mob brew. 457 00:27:01,040 --> 00:27:06,680 Speaker 1: And the strongest possible terms, the Republican Party condemns the riotings, looting, 458 00:27:07,040 --> 00:27:10,840 Speaker 1: arson and violence we have seen in Democrat run cities 459 00:27:10,880 --> 00:27:16,280 Speaker 1: all like ken Ocean, Minneapolis, Portland's, Chicago and New York, 460 00:27:17,240 --> 00:27:20,520 Speaker 1: you know, and and just quickly, Mario, and the ninety 461 00:27:20,520 --> 00:27:22,520 Speaker 1: seconds that we have left, do you think that the 462 00:27:22,640 --> 00:27:27,000 Speaker 1: longer the unrest goes on, the more the law and 463 00:27:27,200 --> 00:27:32,560 Speaker 1: order argument resonates with swing voters. That's the bit. It's 464 00:27:32,640 --> 00:27:35,800 Speaker 1: unclear right now because again would have thought at least 465 00:27:35,840 --> 00:27:38,720 Speaker 1: three or four years ago that black lives matter at 466 00:27:38,800 --> 00:27:42,520 Speaker 1: least the slogan, not necessarily the organization, the slogan, the movement. 467 00:27:42,800 --> 00:27:45,320 Speaker 1: We'll make it into the main stream. So it's still 468 00:27:45,320 --> 00:27:48,680 Speaker 1: a little bit smarter. But that's definitely the president's bit. 469 00:27:49,000 --> 00:27:51,240 Speaker 1: All right, who's your biggest winner and loser from the 470 00:27:51,280 --> 00:27:54,119 Speaker 1: past two weeks? Your biggest winner and loser from the 471 00:27:54,280 --> 00:27:56,679 Speaker 1: from both of the conventions. You only get to take 472 00:27:56,840 --> 00:28:06,480 Speaker 1: one of each, though, the biggest of their organizers, okay, 473 00:28:06,760 --> 00:28:11,080 Speaker 1: big the follow and uh, the biggest loser over the 474 00:28:11,160 --> 00:28:14,320 Speaker 1: last two weeks. I'm actually mat sure, so I'm going 475 00:28:14,359 --> 00:28:16,919 Speaker 1: to chicken out on that dodge. What a dodge, What 476 00:28:17,040 --> 00:28:19,680 Speaker 1: a dodge, Mario. You could have made it. You could 477 00:28:19,680 --> 00:28:22,000 Speaker 1: have said TikTok, you could have said TikTok was the 478 00:28:22,000 --> 00:28:25,520 Speaker 1: biggest loser. No one knows he's gonna buy him Walmart, Microsoft, 479 00:28:25,560 --> 00:28:30,520 Speaker 1: We don't know. Mario Parker, Congratulations on awesome, awesome coverage 480 00:28:31,160 --> 00:28:34,480 Speaker 1: through with the whole team. Really great work, really great reporting. 481 00:28:34,640 --> 00:28:37,320 Speaker 1: Really appreciate your time on a Friday Bloomberg White House 482 00:28:37,359 --> 00:28:39,880 Speaker 1: reporter Mario Parker. Make sure you read all of his reporting. 483 00:28:39,920 --> 00:28:42,160 Speaker 1: He really really nails it all the time. Coming up, 484 00:28:42,240 --> 00:28:47,360 Speaker 1: Panel Panel Time, Doug High and Max Burns. I'm Kevin 485 00:28:47,440 --> 00:28:51,719 Speaker 1: CURRELLI chief Washington correspondent from Bloomberg Television and Bloomberg Radio. 486 00:28:52,280 --> 00:29:06,160 Speaker 1: You're listening to Bloomberg ninety nine one yea. This is 487 00:29:06,200 --> 00:29:11,560 Speaker 1: Bloomberg's Sound On with Kevin Surley on Bloomberg and one 488 00:29:11,560 --> 00:29:15,360 Speaker 1: oh five point seven F M h D. Two Friday, folks, 489 00:29:15,760 --> 00:29:19,080 Speaker 1: never thought overcome, but here we are another Friday in 490 00:29:19,120 --> 00:29:21,320 Speaker 1: the district. My name is Kevin sur Really. I am 491 00:29:21,320 --> 00:29:24,520 Speaker 1: the chief Washington correspondent from Bloomberg Television and from Bloomberg Radio. 492 00:29:24,560 --> 00:29:28,280 Speaker 1: Panel Time, and we've got two of the Best. Doug High, 493 00:29:28,560 --> 00:29:32,080 Speaker 1: Senior vice president of Media at Kraft Media and Digital. 494 00:29:32,360 --> 00:29:34,560 Speaker 1: He is the former Deputy chief of staff, former House 495 00:29:34,560 --> 00:29:39,000 Speaker 1: Majority leader to Eric Cancer and Max Burns, Maxie, Democratic 496 00:29:39,040 --> 00:29:42,200 Speaker 1: strategist contributor at The Daily Beast, the New York Daily News, 497 00:29:42,600 --> 00:29:46,240 Speaker 1: and The Independent. Jen S thanks for joining me. Happy Friday, 498 00:29:46,760 --> 00:29:49,200 Speaker 1: Happy Friday. All right. So I want to focus this 499 00:29:49,240 --> 00:29:52,880 Speaker 1: block on the economy because there's this thing on the 500 00:29:52,960 --> 00:29:57,440 Speaker 1: terminal called the fixed volatility Index, and it is pretty 501 00:29:57,520 --> 00:30:01,320 Speaker 1: much about how volatilely in the markets and and and 502 00:30:01,320 --> 00:30:05,520 Speaker 1: how they're anticipating it to increase. I'm reading from Catherine 503 00:30:05,760 --> 00:30:09,200 Speaker 1: uh Greenfield and Liz Kappa mccormicks reporting on the terminal. 504 00:30:09,360 --> 00:30:14,520 Speaker 1: Traders across major asset classes are sending the same message, 505 00:30:15,120 --> 00:30:18,560 Speaker 1: prepare for what could be the most contentious US presidential 506 00:30:18,600 --> 00:30:21,760 Speaker 1: election in decades. One measure of hedging in the stock 507 00:30:21,800 --> 00:30:26,960 Speaker 1: market is one mom measure. One measure of hedging in 508 00:30:26,960 --> 00:30:29,040 Speaker 1: the stock market is higher than at any point in 509 00:30:29,040 --> 00:30:32,520 Speaker 1: the past three presidential elections. And the interest rates market 510 00:30:32,600 --> 00:30:36,840 Speaker 1: implied volatility is well above levels reached in s or 511 00:30:37,200 --> 00:30:41,480 Speaker 1: in two thousand and twelve. So everyone's banking that this 512 00:30:41,560 --> 00:30:44,880 Speaker 1: is going to be a crazy chaotic November and maybe 513 00:30:44,880 --> 00:30:48,080 Speaker 1: even early December, but I don't know. Earlier on in 514 00:30:48,120 --> 00:30:49,840 Speaker 1: the program, we were talking to Rick Davis, who's a 515 00:30:49,840 --> 00:30:54,120 Speaker 1: Boomberg contributor and uh performer campaign manager to John McCain's 516 00:30:54,120 --> 00:30:56,960 Speaker 1: presidential and he's a partner at Stone Corps Capital, and 517 00:30:56,960 --> 00:30:59,240 Speaker 1: he said, well, really it's all about the economy and 518 00:31:00,040 --> 00:31:03,600 Speaker 1: um education and inequality. I mean a lot of the 519 00:31:03,600 --> 00:31:06,960 Speaker 1: themes that have emerged, uh, Doug High in this race 520 00:31:07,000 --> 00:31:11,320 Speaker 1: are actually we we've been here before, you know, we 521 00:31:11,320 --> 00:31:13,760 Speaker 1: we have been here before. We've been here just four 522 00:31:13,840 --> 00:31:16,600 Speaker 1: years ago, and and we've seen shades of this in 523 00:31:16,640 --> 00:31:19,800 Speaker 1: the in past phases too. I think everybody has to 524 00:31:19,800 --> 00:31:22,200 Speaker 1: be prepared for this to be a very close election 525 00:31:22,280 --> 00:31:25,719 Speaker 1: one way or another. And uh, that's in you know, 526 00:31:25,840 --> 00:31:29,360 Speaker 1: the popular vote, potentially certainly the electoral college. We could 527 00:31:29,400 --> 00:31:33,120 Speaker 1: see something as we saw last time, where a candidate 528 00:31:33,400 --> 00:31:36,120 Speaker 1: wins the electoral college and doesn't win the popular vote. 529 00:31:36,120 --> 00:31:39,240 Speaker 1: And I think that is really where the contention may 530 00:31:39,280 --> 00:31:42,880 Speaker 1: come is not in the election itself, that will be 531 00:31:42,880 --> 00:31:45,640 Speaker 1: plenty contentious as it is, but in what the potential 532 00:31:45,680 --> 00:31:49,000 Speaker 1: aftermath for the election will be. If Donald Trump is reelected, 533 00:31:49,280 --> 00:31:51,400 Speaker 1: there's a broad swath of the country that is not 534 00:31:51,520 --> 00:31:54,840 Speaker 1: prepared to accept that. If Donald if Joe Biden wins, 535 00:31:54,960 --> 00:31:57,440 Speaker 1: there's a broad swath of the country that isn't prepared 536 00:31:57,720 --> 00:31:59,880 Speaker 1: to accept that either. And then again, if you get 537 00:32:00,040 --> 00:32:02,520 Speaker 1: of these you know, kind of more special circumstances, which 538 00:32:02,520 --> 00:32:05,840 Speaker 1: we just saw um in the last election, of winning 539 00:32:05,840 --> 00:32:08,560 Speaker 1: the electoral college and losing the popular vote, no one's 540 00:32:08,600 --> 00:32:11,440 Speaker 1: prepared for that. Again, I think you know, Max MAXI, 541 00:32:12,000 --> 00:32:16,080 Speaker 1: Maxie Mearns. I mean, but in terms of the economy, 542 00:32:16,120 --> 00:32:17,960 Speaker 1: it really was and this was one of my major 543 00:32:17,960 --> 00:32:20,520 Speaker 1: takeaways from the past two two weeks of the conventions 544 00:32:21,040 --> 00:32:23,880 Speaker 1: A O C versus Tim Scott. I mean, that's the 545 00:32:23,920 --> 00:32:27,920 Speaker 1: future of the economic debate, in the ideological debate that 546 00:32:28,000 --> 00:32:30,240 Speaker 1: we're having in this country. And while the traders on 547 00:32:30,280 --> 00:32:33,920 Speaker 1: Wall Street, which again they're having really they're having some 548 00:32:33,960 --> 00:32:36,480 Speaker 1: really good weeks. You know, I was looking just at 549 00:32:36,480 --> 00:32:39,640 Speaker 1: the markets and how they were doing, and I mean, 550 00:32:40,360 --> 00:32:44,720 Speaker 1: for it's a five week, five weeks surch a five 551 00:32:44,800 --> 00:32:47,440 Speaker 1: month surge, sorry, a five month surge in the Nasdaq 552 00:32:47,520 --> 00:32:50,200 Speaker 1: one hundred. I mean, it's it's it's it's remarkable when 553 00:32:50,240 --> 00:32:53,040 Speaker 1: you see the inequality just on full display. But AOC 554 00:32:53,240 --> 00:32:56,400 Speaker 1: and Tim Scott have two very different solutions for how 555 00:32:56,400 --> 00:33:01,240 Speaker 1: to fix that. Max absolutely and of them find themselves 556 00:33:01,240 --> 00:33:05,760 Speaker 1: often fighting their party for for attention and fighting to 557 00:33:05,800 --> 00:33:08,720 Speaker 1: be on that stage with the mainstream of the Democratic 558 00:33:08,720 --> 00:33:12,640 Speaker 1: and Republican Party smart. I agree completely that this is 559 00:33:12,760 --> 00:33:18,040 Speaker 1: an economic and inequality election, and Coronavirus has really focused 560 00:33:18,080 --> 00:33:21,360 Speaker 1: that in ways that people couldn't imagine a year ago. 561 00:33:21,400 --> 00:33:23,360 Speaker 1: I mean, people with nothing else to do but watch 562 00:33:23,440 --> 00:33:27,560 Speaker 1: TV see constant stories of billionaires getting richer while their 563 00:33:27,680 --> 00:33:32,000 Speaker 1: unemployment assistance gets cut. And that's a hard reality to spin, 564 00:33:32,800 --> 00:33:36,600 Speaker 1: even for showman at conventions and what I thought, what 565 00:33:36,720 --> 00:33:39,360 Speaker 1: I think is remarkable. But even on the issue of inequality, 566 00:33:39,920 --> 00:33:42,520 Speaker 1: even on the issue of an equality, there's different solutions. 567 00:33:42,520 --> 00:33:46,720 Speaker 1: Because I really want to and this week on policy, um, 568 00:33:46,760 --> 00:33:52,600 Speaker 1: because you've got the left and AOC crowd, they're saying, Okay, 569 00:33:52,640 --> 00:33:56,040 Speaker 1: there has to be more that's done with regards to 570 00:33:56,040 --> 00:34:00,400 Speaker 1: to to racial injustice in this country, and and you know, 571 00:34:00,520 --> 00:34:03,480 Speaker 1: government intervention, and and Biden came out with the support 572 00:34:03,480 --> 00:34:05,720 Speaker 1: of of tweaking the Federal Reserve Act just as one 573 00:34:06,240 --> 00:34:08,640 Speaker 1: policy proposal that he has put out on this, and 574 00:34:08,680 --> 00:34:12,359 Speaker 1: obviously he has a whole platform of it, but would 575 00:34:12,440 --> 00:34:14,920 Speaker 1: would would allow for the Central Bank to address the 576 00:34:15,000 --> 00:34:17,880 Speaker 1: areas of diversity. That's something that Elizabeth Warren and Maxine 577 00:34:17,880 --> 00:34:21,680 Speaker 1: Waters co sponsored in Congress. Then you look at Tim 578 00:34:21,680 --> 00:34:23,520 Speaker 1: Scott and he said, no, take a page out of 579 00:34:23,600 --> 00:34:26,320 Speaker 1: Jack Kemp's book, take a page out of the Opportunity 580 00:34:26,400 --> 00:34:30,840 Speaker 1: Zone book, and that lowering the taxes in some of 581 00:34:30,880 --> 00:34:34,840 Speaker 1: these areas will provide more UH stimulus and closing the 582 00:34:34,840 --> 00:34:36,920 Speaker 1: inequality gap. Doug. I mean, it's just that they're on 583 00:34:37,000 --> 00:34:39,279 Speaker 1: a collision course even in terms of the solutions on 584 00:34:39,320 --> 00:34:42,960 Speaker 1: how to address inequality. Well, and look, I don't think 585 00:34:42,960 --> 00:34:46,279 Speaker 1: they've ever been on the same places, um in coming 586 00:34:46,320 --> 00:34:48,800 Speaker 1: to the same solution. You know, I would say, I 587 00:34:48,800 --> 00:34:51,080 Speaker 1: don't remember. I'm not quite old enough. But in the 588 00:34:51,160 --> 00:34:53,319 Speaker 1: in the Kennedy Nixon debate, and one of them said 589 00:34:53,360 --> 00:34:55,680 Speaker 1: about the other week we agree about the problems, but 590 00:34:55,840 --> 00:34:59,440 Speaker 1: not how to how to solve these things such I 591 00:34:59,520 --> 00:35:01,879 Speaker 1: just watch that the other week I have no life. 592 00:35:01,920 --> 00:35:05,560 Speaker 1: Go ahead. But we also we also have another challenge 593 00:35:05,600 --> 00:35:07,839 Speaker 1: here that that COVID is as really placed on this, 594 00:35:07,960 --> 00:35:12,800 Speaker 1: and that's you know, if you're an Amazon or UM. 595 00:35:12,840 --> 00:35:15,919 Speaker 1: You know, chain restaurants, you're you're doing okay, in fact 596 00:35:15,920 --> 00:35:19,920 Speaker 1: pretty well. If you're a local small business, whatever industry 597 00:35:19,920 --> 00:35:22,160 Speaker 1: you're in, you're in a much more difficult place. And 598 00:35:22,200 --> 00:35:25,200 Speaker 1: that consolidation that we're seeing UM is really going to 599 00:35:25,239 --> 00:35:28,120 Speaker 1: heighten um the inequalities that we see throughout the country. 600 00:35:28,200 --> 00:35:29,840 Speaker 1: We'll take a listen to what President Trump had to 601 00:35:29,840 --> 00:35:32,480 Speaker 1: say about the economy last night. Here is here's the 602 00:35:32,480 --> 00:35:35,840 Speaker 1: President on the economy. In a new term as president, 603 00:35:36,520 --> 00:35:40,440 Speaker 1: we will again build the greatest economy in history, quickly 604 00:35:40,560 --> 00:35:47,040 Speaker 1: returning to full employment, staring incomes and record prosperity, and 605 00:35:47,040 --> 00:35:49,399 Speaker 1: and Max, I mean it's it's again. It's a it's 606 00:35:49,440 --> 00:35:53,200 Speaker 1: a tale of two narratives on a I gotta get Kevin. 607 00:35:53,520 --> 00:35:55,120 Speaker 1: My goal over the weekend is to come up with 608 00:35:55,160 --> 00:35:58,200 Speaker 1: a better phrase than collision course, because what they are. 609 00:35:58,520 --> 00:36:02,320 Speaker 1: You've got you've got the left saying well, the economy 610 00:36:02,440 --> 00:36:05,200 Speaker 1: wasn't that good before and only the rich were getting richer, 611 00:36:05,200 --> 00:36:06,960 Speaker 1: and then you've got the right saying, oh, it was great, 612 00:36:07,320 --> 00:36:10,280 Speaker 1: it was great. Not surely are one of our producers 613 00:36:10,280 --> 00:36:13,000 Speaker 1: on the show says, say, crash track. They're on a 614 00:36:13,000 --> 00:36:16,320 Speaker 1: crash track. That's too hard to say, Max, or not anyway? 615 00:36:16,480 --> 00:36:19,239 Speaker 1: That anyway, Max, back to safe focused, Kevin, you're so 616 00:36:19,320 --> 00:36:21,640 Speaker 1: close to the weekend money. You were so good all 617 00:36:21,840 --> 00:36:24,680 Speaker 1: two weeks. Focus. It's going off the rails. This this 618 00:36:24,800 --> 00:36:27,440 Speaker 1: conversations on a crash track. You got like ten seconds. 619 00:36:27,440 --> 00:36:28,920 Speaker 1: But go ahead and respond to that point. On the 620 00:36:28,920 --> 00:36:32,279 Speaker 1: president of the economy. Yeah, I mean nobody wants it 621 00:36:32,320 --> 00:36:35,000 Speaker 1: to be in America, I think more than Trump and 622 00:36:35,040 --> 00:36:38,080 Speaker 1: the Republicans. The economy was back on track. There was 623 00:36:38,120 --> 00:36:41,880 Speaker 1: no COVID. Unfortunately, they didn't spend any time at this 624 00:36:42,000 --> 00:36:46,000 Speaker 1: convention actually putting forward a policy to address that. They 625 00:36:46,000 --> 00:36:48,279 Speaker 1: would say maybe you know my favorite thing about RS 626 00:36:48,280 --> 00:36:50,400 Speaker 1: and d S is they're all saying no enough policy. 627 00:36:50,480 --> 00:36:53,360 Speaker 1: They didn't have policy. We didn't have. There's policy. Max. 628 00:36:53,400 --> 00:36:56,240 Speaker 1: I'm calling you out, buddy, there's policy on both sides. 629 00:36:56,360 --> 00:36:58,479 Speaker 1: I'm Kevin's we gotta look for it. The media doesn't 630 00:36:58,480 --> 00:37:01,359 Speaker 1: talk about it enough. Oh, I'm Kevin Surley. You're listening 631 00:37:01,360 --> 00:37:07,239 Speaker 1: to Bloomberg nine one. You're listening to Bloomberg Sound On 632 00:37:07,320 --> 00:37:11,640 Speaker 1: with Kevin on Bloomberg and one oh five point seven 633 00:37:11,719 --> 00:37:15,279 Speaker 1: F M H D two. My name is Kevin, so really, 634 00:37:15,560 --> 00:37:19,120 Speaker 1: I have the chief washer correspondent for Bloomberg Television and 635 00:37:19,239 --> 00:37:23,200 Speaker 1: for Bloomberg Radio. Shout out to the producers on the 636 00:37:23,280 --> 00:37:27,920 Speaker 1: program Barrata BP Barata. I always feel bad that I 637 00:37:27,960 --> 00:37:30,839 Speaker 1: pronounce her last name that way. Christine Barada. Just going 638 00:37:30,880 --> 00:37:34,880 Speaker 1: on vacay next week. Have fun, Barata, drive safe and 639 00:37:35,080 --> 00:37:40,200 Speaker 1: not Shirley Shannon bn uh. He we have. We've been going. 640 00:37:40,440 --> 00:37:42,799 Speaker 1: We we we did a great job. You two. I 641 00:37:42,800 --> 00:37:47,600 Speaker 1: appreciate it a lot joining us for a panel discussion, 642 00:37:47,600 --> 00:37:49,399 Speaker 1: and I want to go geo political now. Doug High, 643 00:37:49,400 --> 00:37:52,200 Speaker 1: Senior vice president of Media at Craft Media and Digital, 644 00:37:52,239 --> 00:37:56,680 Speaker 1: former Deputy chief of staff, former House Majority former former 645 00:37:56,719 --> 00:38:01,439 Speaker 1: deputy chief of staff, Sorry, Doug, shoot Warmer, House Majority Leader, 646 00:38:01,560 --> 00:38:06,480 Speaker 1: Eric Canner, and Max Burns, Maxie, Democratic strategist contributor at 647 00:38:06,480 --> 00:38:08,759 Speaker 1: The Daily Beast and the New York Daily News and 648 00:38:08,880 --> 00:38:12,520 Speaker 1: The Independent. Okay, So, for as much as President Trump 649 00:38:12,800 --> 00:38:17,960 Speaker 1: domestically tried to link the progressive or Biden to the 650 00:38:18,000 --> 00:38:23,400 Speaker 1: Democratic Socialist, he also geo politically tried to link Biden 651 00:38:23,480 --> 00:38:26,279 Speaker 1: to the Communist Party of China. Take a listen to 652 00:38:26,360 --> 00:38:28,560 Speaker 1: what he had to say about Joe Biden and China. 653 00:38:28,640 --> 00:38:32,600 Speaker 1: Here he is China would own our country if Joe 654 00:38:32,640 --> 00:38:37,880 Speaker 1: Biden got elected. Unlike Biden, I will hold them fully 655 00:38:37,920 --> 00:38:41,960 Speaker 1: accountable for the tragedy that they caused all over the world. 656 00:38:42,040 --> 00:38:45,640 Speaker 1: They caused in recent months or nation in the world 657 00:38:46,360 --> 00:38:50,400 Speaker 1: has been hit by the once in a century pandemic, 658 00:38:51,320 --> 00:38:55,880 Speaker 1: but China allowed to spread around the glow. So that 659 00:38:56,000 --> 00:38:59,840 Speaker 1: was there he was talking about China, Max, China has 660 00:38:59,880 --> 00:39:02,320 Speaker 1: been something that the President has talked about ever since 661 00:39:02,920 --> 00:39:05,640 Speaker 1: for decades. I mean even in there's in the clips 662 00:39:05,640 --> 00:39:07,759 Speaker 1: from the nineteen nineties on the Oprah Winfrey program. I 663 00:39:07,800 --> 00:39:10,200 Speaker 1: mean it was He's been talking about China for a while. 664 00:39:10,320 --> 00:39:12,800 Speaker 1: And honestly, when I look at the polls, China re 665 00:39:12,880 --> 00:39:18,040 Speaker 1: means deeply unpopular amongst the left and the right. Max. Yeah, 666 00:39:18,040 --> 00:39:21,080 Speaker 1: and Joe Biden. Joe Biden and Donald Trump have both 667 00:39:21,080 --> 00:39:25,600 Speaker 1: taken very similar attack lines on China. Joe Biden just 668 00:39:25,840 --> 00:39:30,160 Speaker 1: the other day calling the weaker genocide of Muslims in 669 00:39:30,239 --> 00:39:33,560 Speaker 1: Northern China what it is, which is a genocide. But 670 00:39:33,880 --> 00:39:38,040 Speaker 1: China has an unpopular name and an unpopular entity in 671 00:39:38,080 --> 00:39:40,719 Speaker 1: the United States, is very easy to build a campaign 672 00:39:41,080 --> 00:39:45,239 Speaker 1: attacking it. But unfortunately Donald Trump really hasn't brought home 673 00:39:45,360 --> 00:39:49,319 Speaker 1: any measurable victories in his unending war with China so far. 674 00:39:50,360 --> 00:39:54,000 Speaker 1: Uh doug Hi, what about you responded that, well, no, 675 00:39:54,160 --> 00:39:56,279 Speaker 1: I actually I agree, And I think one of the 676 00:39:56,400 --> 00:39:58,320 Speaker 1: one of the challenges for Trump is, you know, he 677 00:39:58,719 --> 00:40:01,520 Speaker 1: keeps trying to suggest that that Joe Biden is an 678 00:40:01,560 --> 00:40:04,319 Speaker 1: empty vessel that's going to have his head filled with 679 00:40:04,360 --> 00:40:07,680 Speaker 1: all these things that I think it doesn't work except 680 00:40:07,680 --> 00:40:11,160 Speaker 1: to the Trump base because otherwise voters have known Biden 681 00:40:11,719 --> 00:40:13,880 Speaker 1: for forty years now. Now that may be a problem 682 00:40:14,000 --> 00:40:16,359 Speaker 1: that that he's been around too long, but they know 683 00:40:16,400 --> 00:40:18,960 Speaker 1: who he is, they like them, they're fairly comfortable with them. 684 00:40:19,200 --> 00:40:22,400 Speaker 1: So I think this rhetoric from Trump um falls short. 685 00:40:22,480 --> 00:40:25,279 Speaker 1: And if you look even in the same speech, you're 686 00:40:25,280 --> 00:40:27,680 Speaker 1: certainly the same convention. You get mixed messages on this. 687 00:40:27,880 --> 00:40:31,719 Speaker 1: On On the one hand, Joe Biden um was was 688 00:40:31,760 --> 00:40:34,239 Speaker 1: one of the proponents of the crime bill that you know, 689 00:40:34,280 --> 00:40:36,200 Speaker 1: filling the blanks for all the bad things the crime 690 00:40:36,200 --> 00:40:39,320 Speaker 1: bill did, and the next paragraph, you know, he's encouraging 691 00:40:39,360 --> 00:40:43,000 Speaker 1: criminals to loot, you know, lut and burn things at protests, 692 00:40:43,080 --> 00:40:45,960 Speaker 1: and so you know, this this messaging on Biden, I 693 00:40:46,000 --> 00:40:48,640 Speaker 1: don't think works for Trump well, and and and and 694 00:40:48,680 --> 00:40:51,000 Speaker 1: sticking with foreign pology just for a second. In terms 695 00:40:51,000 --> 00:40:54,359 Speaker 1: of China, it really comes down to this issue of 696 00:40:54,719 --> 00:40:59,840 Speaker 1: multilateral approach which the Democrats are pushing for, versus a 697 00:41:00,000 --> 00:41:03,759 Speaker 1: bilateral or in many cases, a unilateral approach, which is 698 00:41:03,800 --> 00:41:06,799 Speaker 1: what the President feels as an asset in terms of 699 00:41:06,840 --> 00:41:10,200 Speaker 1: negotiating not just on an economic front, but also on 700 00:41:10,480 --> 00:41:13,440 Speaker 1: a on a on a national security front. And so 701 00:41:14,400 --> 00:41:17,200 Speaker 1: it really feels at least now and with the recent 702 00:41:17,480 --> 00:41:19,880 Speaker 1: sanctions that were announced earlier this week by the State's 703 00:41:19,920 --> 00:41:24,440 Speaker 1: Department on a host of different Chinese entities and UH, 704 00:41:24,800 --> 00:41:28,120 Speaker 1: with relations to the to the spasm of escalation that 705 00:41:28,160 --> 00:41:32,080 Speaker 1: we've seen in military drills in the South Pacific, in 706 00:41:32,120 --> 00:41:36,319 Speaker 1: the South Asia Pacific, it really does feel as if 707 00:41:36,440 --> 00:41:41,840 Speaker 1: we're marching toward a tech cold war. UH. And and 708 00:41:41,920 --> 00:41:45,680 Speaker 1: from a business perspective, Max burns a lot of the 709 00:41:45,719 --> 00:41:48,640 Speaker 1: actions that have actually been taken over the past several weeks, 710 00:41:48,640 --> 00:41:50,320 Speaker 1: and this is a point that I that I would 711 00:41:50,719 --> 00:41:54,400 Speaker 1: make and and I'm very curious to see when Biden 712 00:41:54,440 --> 00:41:56,680 Speaker 1: gets asked about this. A lot of the actions that 713 00:41:56,760 --> 00:41:59,640 Speaker 1: the State Department has taken, and even the March toward 714 00:42:00,080 --> 00:42:04,879 Speaker 1: or aggressive approach against China technology companies are actually going 715 00:42:04,960 --> 00:42:08,400 Speaker 1: to still be in place should Joe Biden get in office, 716 00:42:08,719 --> 00:42:10,880 Speaker 1: and it's setting us on a course for for a 717 00:42:10,920 --> 00:42:13,920 Speaker 1: tech cold war with China. When you have Congresswoman Sheila 718 00:42:14,000 --> 00:42:17,480 Speaker 1: Jackson Lee of Houston, a progressive deputy whip of the 719 00:42:17,520 --> 00:42:20,560 Speaker 1: Democratic Caucus, appearing on this program and saying that she 720 00:42:20,680 --> 00:42:24,759 Speaker 1: supports the sale of TikTok to a US company. Uh. 721 00:42:24,800 --> 00:42:26,920 Speaker 1: And then you have in the next day Meg Whitman 722 00:42:27,000 --> 00:42:30,920 Speaker 1: on this program, the former HP CEO, who of course 723 00:42:31,000 --> 00:42:33,800 Speaker 1: ran for governor as a Republican, who's back in Joe Biden, 724 00:42:34,040 --> 00:42:37,520 Speaker 1: saying that she too, also supports what the administration had 725 00:42:37,560 --> 00:42:40,920 Speaker 1: done in terms of TikTok. These are not, uh, this 726 00:42:41,040 --> 00:42:43,680 Speaker 1: is US policy now, Am I? Right? Max? I mean 727 00:42:43,680 --> 00:42:46,759 Speaker 1: this isn't This isn't the where the where Biden and 728 00:42:46,800 --> 00:42:50,200 Speaker 1: Trump are gonna fight over. Yeah. Correct. And it's one 729 00:42:50,239 --> 00:42:53,359 Speaker 1: of the great missed opportunities of the Trump era where 730 00:42:53,400 --> 00:42:57,880 Speaker 1: we have a largely bipartisan skepticism of China, especially on 731 00:42:57,960 --> 00:43:01,360 Speaker 1: tech and intellectual property, that the White House made no 732 00:43:01,440 --> 00:43:04,719 Speaker 1: real effort to go to Congress and get long lasting 733 00:43:04,800 --> 00:43:08,640 Speaker 1: policy pass. This is all through the Department of Commerce 734 00:43:08,680 --> 00:43:11,920 Speaker 1: and Executive Orders, which makes it sort of inherently weak. 735 00:43:12,239 --> 00:43:16,120 Speaker 1: If a new administration comes in and all right, let's 736 00:43:16,200 --> 00:43:18,319 Speaker 1: let's let's do something, because next next box, we're doing 737 00:43:18,320 --> 00:43:21,120 Speaker 1: what's on your radar? It's a Friday, you know. But 738 00:43:21,680 --> 00:43:24,040 Speaker 1: I want to do who are your winners and losers 739 00:43:24,640 --> 00:43:26,800 Speaker 1: of the past two weeks? You can only pick one winner, 740 00:43:27,120 --> 00:43:29,279 Speaker 1: you can only pick one loser. And I know you're 741 00:43:29,320 --> 00:43:32,400 Speaker 1: both partisan. So I don't want to hear uh Biden 742 00:43:32,400 --> 00:43:34,719 Speaker 1: and Trump or the winner and loser vice versa. I 743 00:43:34,760 --> 00:43:45,040 Speaker 1: want something smart and different. Okay, who wants to go first? Killer? Killer? Who? Maxico? Here? Up? Like? 744 00:43:45,120 --> 00:43:47,400 Speaker 1: What if? My winners over the past week or so 745 00:43:47,480 --> 00:43:51,960 Speaker 1: has been Alexandria Acazzio Cortez, who managed to capture headlines 746 00:43:52,000 --> 00:43:54,960 Speaker 1: all week at the Democratic Convention and then most of 747 00:43:54,960 --> 00:43:58,399 Speaker 1: the week this week with Republicans attacking her without having 748 00:43:58,400 --> 00:44:02,200 Speaker 1: to actually say or do any So that's that's real influence. 749 00:44:02,640 --> 00:44:06,680 Speaker 1: Who's your loser on the losers side? It has got 750 00:44:06,719 --> 00:44:11,080 Speaker 1: to be the Republican Party. No, no, no, no, no, 751 00:44:11,480 --> 00:44:14,160 Speaker 1: We're not doing it. Next Max, I'm gonna come back 752 00:44:14,160 --> 00:44:16,920 Speaker 1: to you because I'm gonna go to Doug's winner, but 753 00:44:17,000 --> 00:44:21,080 Speaker 1: I want something better than that. Uh, Doug, who's your winner? 754 00:44:21,880 --> 00:44:23,800 Speaker 1: But for for this week, I'd say Tim Scott was 755 00:44:23,840 --> 00:44:27,239 Speaker 1: a big winner. Yes, Unlike so many people who spoke 756 00:44:27,280 --> 00:44:30,520 Speaker 1: at the Republican Convention, he was forward looking and thinking. 757 00:44:30,560 --> 00:44:32,600 Speaker 1: He was optimistic, which is something we didn't see a 758 00:44:32,640 --> 00:44:35,399 Speaker 1: lot of it this convention. And as the party tries 759 00:44:35,440 --> 00:44:37,040 Speaker 1: to figure out what it's going to be over the 760 00:44:37,120 --> 00:44:40,279 Speaker 1: next few years, especially if Trump loses, Jim Scott has 761 00:44:40,280 --> 00:44:42,520 Speaker 1: certainly put his name, um, you know, higher up on 762 00:44:42,560 --> 00:44:43,960 Speaker 1: the list. And I think it might have been for 763 00:44:44,000 --> 00:44:46,359 Speaker 1: a lot of people. And I think both of you 764 00:44:46,440 --> 00:44:48,520 Speaker 1: just touched upon. I mean, that's been a thread that 765 00:44:48,560 --> 00:44:51,400 Speaker 1: I've been following the past two weeks. Here, those two individuals, 766 00:44:51,440 --> 00:44:54,080 Speaker 1: AOC and Senator Scott. They are the future of the 767 00:44:54,120 --> 00:44:58,719 Speaker 1: economic fight on this in this country. And and it's 768 00:44:58,760 --> 00:45:02,240 Speaker 1: it's going to be it's the next generation in real time, Okay, 769 00:45:02,360 --> 00:45:04,919 Speaker 1: loser time? Who is your biggest Oh, It's like it's 770 00:45:04,920 --> 00:45:08,200 Speaker 1: like that show Who's Your Biggest Loser? I don't I 771 00:45:08,239 --> 00:45:10,759 Speaker 1: don't have it yet. I'm I'm hoping. Can I see 772 00:45:10,760 --> 00:45:13,960 Speaker 1: the Democratic Party? No, No, you can't or you can't. 773 00:45:17,320 --> 00:45:22,600 Speaker 1: Are you there? Who is your biggest loser, Max, I'll 774 00:45:22,600 --> 00:45:25,839 Speaker 1: tell you genuinely, I think Michael McHale and who spoke 775 00:45:25,880 --> 00:45:29,160 Speaker 1: at the RNC for the National Association of Police Organizations, 776 00:45:29,960 --> 00:45:32,600 Speaker 1: just because of the damage he did in just blatantly 777 00:45:32,719 --> 00:45:37,120 Speaker 1: politicizing law enforcements and making it appear now that the 778 00:45:37,200 --> 00:45:40,480 Speaker 1: only valid choice for a police officer or a police 779 00:45:40,560 --> 00:45:44,440 Speaker 1: union is to support Donald Trump just undermines a lot 780 00:45:44,480 --> 00:45:46,759 Speaker 1: of cops who disagree with him, and I think does 781 00:45:46,800 --> 00:45:49,719 Speaker 1: a lot of long term harm. Alright, alright, don he's 782 00:45:49,719 --> 00:45:52,960 Speaker 1: your biggest loser. Well, I think you know that the 783 00:45:53,000 --> 00:45:55,359 Speaker 1: person who when I watched I kept scratching my head 784 00:45:55,400 --> 00:45:58,120 Speaker 1: the most that was Hillary Clinton. It wasn't really why 785 00:45:58,200 --> 00:46:01,200 Speaker 1: she was there. Um, she was trying to pop her 786 00:46:01,200 --> 00:46:02,879 Speaker 1: head up and say, you know, look at me, pay 787 00:46:02,920 --> 00:46:05,759 Speaker 1: attention to me, when when her party has moved on 788 00:46:05,840 --> 00:46:07,640 Speaker 1: from her and the country has moved on from her. 789 00:46:07,880 --> 00:46:09,120 Speaker 1: And you know, I think I think there were a 790 00:46:09,160 --> 00:46:11,040 Speaker 1: lot of people who were watching it said wait a second. 791 00:46:11,239 --> 00:46:12,719 Speaker 1: You know when when she said would it could have 792 00:46:12,760 --> 00:46:14,959 Speaker 1: should have? Well, you would could have should have done 793 00:46:15,280 --> 00:46:18,080 Speaker 1: these things and Donald Trump wouldn't be president and that's right, 794 00:46:18,160 --> 00:46:20,719 Speaker 1: just you know, partisan Democrats, and I think a lot 795 00:46:20,719 --> 00:46:23,400 Speaker 1: of independence who didn't like Trump certainly thought that. I 796 00:46:23,440 --> 00:46:25,600 Speaker 1: heard that quite a bit. I'm gonna get ripped for this, 797 00:46:25,800 --> 00:46:27,480 Speaker 1: but here, maybe here, may I have a tie for 798 00:46:27,520 --> 00:46:31,440 Speaker 1: the winners. Brandon Harrington. I thought his speech was incredible. 799 00:46:31,440 --> 00:46:33,760 Speaker 1: He was at the kid who spoke with the stutter. 800 00:46:34,040 --> 00:46:35,840 Speaker 1: I thought he did more to humanize Joe Biden than 801 00:46:35,880 --> 00:46:40,200 Speaker 1: anyone of Joe Biden's family members or even anyone even 802 00:46:40,239 --> 00:46:42,960 Speaker 1: on the ticket. I thought. I thought Brandon Harrington was remarkable, 803 00:46:43,080 --> 00:46:45,439 Speaker 1: the courage that he showed and just a memorable moment 804 00:46:45,440 --> 00:46:47,840 Speaker 1: in the past two weeks. And I thought Kimberly Gilfoyle 805 00:46:47,960 --> 00:46:50,440 Speaker 1: nailed it. I thought she she gave a very I mean, 806 00:46:50,480 --> 00:46:52,160 Speaker 1: he either loved it or you hated it. But it 807 00:46:52,200 --> 00:46:55,120 Speaker 1: was exactly classic Trump. It got it was. It was 808 00:46:55,160 --> 00:46:58,680 Speaker 1: so much energy. It went viral, and the viral campaign 809 00:46:58,840 --> 00:47:01,360 Speaker 1: I thought it was. I thought, I thought it was 810 00:47:01,480 --> 00:47:04,440 Speaker 1: brilliant in terms of getting your name and elevating your 811 00:47:04,520 --> 00:47:09,640 Speaker 1: name as a force within the conservative voice ecosystem. So 812 00:47:09,719 --> 00:47:11,320 Speaker 1: those are my two winners. I'll tell you about losers 813 00:47:11,320 --> 00:47:13,440 Speaker 1: on the other side of Kevin Sireli, Chief Washington correspondent 814 00:47:13,440 --> 00:47:19,799 Speaker 1: Fromoomber TV and Radio. You're listening of Bloomberg on. This 815 00:47:20,120 --> 00:47:25,279 Speaker 1: is Bloomberg's Sound On with Kevin SI on Bloomberg and 816 00:47:25,400 --> 00:47:28,799 Speaker 1: one or five point h D two. My name is 817 00:47:28,840 --> 00:47:32,520 Speaker 1: Kevin Cirelia. I'm the Chief Washington correspondent from Bloomberg Television 818 00:47:32,560 --> 00:47:35,480 Speaker 1: of Bloomberg Radio. Time now from my favorite part of 819 00:47:35,480 --> 00:47:38,120 Speaker 1: the show. Well, almost time on your radar, and we've 820 00:47:38,160 --> 00:47:41,799 Speaker 1: got Doug High and Max Burns. All right, So I 821 00:47:41,840 --> 00:47:43,840 Speaker 1: was thinking in the break, I was like, who is 822 00:47:43,880 --> 00:47:46,279 Speaker 1: my biggest loser this week from the past two weeks 823 00:47:46,280 --> 00:47:49,400 Speaker 1: of the conventions? And I've got some some things that 824 00:47:49,440 --> 00:47:52,640 Speaker 1: I don't want to say because it's two opinionated, but 825 00:47:52,719 --> 00:47:55,000 Speaker 1: I'm gonna go out on a limb here and I'm 826 00:47:55,040 --> 00:48:00,080 Speaker 1: gonna say, uh, I gotta be I don't think I 827 00:48:00,080 --> 00:48:05,360 Speaker 1: I think that the the I think TikTok really lost 828 00:48:05,400 --> 00:48:08,680 Speaker 1: out this week because I think it could have been 829 00:48:08,680 --> 00:48:12,680 Speaker 1: a really strong week for social media platform for the 830 00:48:12,760 --> 00:48:18,319 Speaker 1: next generation of sourts during two monumental conventions, and I 831 00:48:18,360 --> 00:48:22,880 Speaker 1: think that they I think that they lost out. All right, Okay, 832 00:48:22,920 --> 00:48:25,160 Speaker 1: before we do, what's on your radar? Because I've been 833 00:48:25,160 --> 00:48:27,240 Speaker 1: doing this all week because it's really kept me focused, 834 00:48:27,400 --> 00:48:29,600 Speaker 1: Doug and Max. And actually, I've had people on this 835 00:48:29,640 --> 00:48:31,480 Speaker 1: program who have no idea what I'm talking about when 836 00:48:31,480 --> 00:48:35,040 Speaker 1: I do it, which really upsets me. And I've had 837 00:48:35,320 --> 00:48:37,279 Speaker 1: it's been very it's been one of the most it's 838 00:48:37,280 --> 00:48:41,600 Speaker 1: been very difficult because here I am trying to be 839 00:48:41,719 --> 00:48:45,160 Speaker 1: a host, trying to grow as an anchor, and you know, 840 00:48:45,239 --> 00:48:49,440 Speaker 1: you gotta be welcoming to the panel. Okay, where I 841 00:48:49,480 --> 00:48:52,840 Speaker 1: grow up. We're we're nice to everybody, Okay, Doug, Max, 842 00:48:53,120 --> 00:48:56,719 Speaker 1: But this week is anniversary of Born to Run, the 843 00:48:56,840 --> 00:48:59,560 Speaker 1: album the legendary, the greatest rock album of all time? 844 00:48:59,760 --> 00:49:01,319 Speaker 1: So are we you know, I'm trying to do my 845 00:49:01,400 --> 00:49:04,560 Speaker 1: lighthearted moments. We live in these polarizing times. Everyone's angry 846 00:49:04,600 --> 00:49:08,799 Speaker 1: all the time, cancel culture, outrage culture, and I'm like, 847 00:49:09,280 --> 00:49:12,600 Speaker 1: all right, something safe, Bruce Springsteen, Board to Run. What's 848 00:49:12,600 --> 00:49:14,759 Speaker 1: your favorite track off of it? I've got a bunch 849 00:49:14,800 --> 00:49:17,719 Speaker 1: of guests yesterday, Patty Duppler, who we love, we appreciate 850 00:49:17,760 --> 00:49:21,160 Speaker 1: her time. She didn't even like the album, and I 851 00:49:21,200 --> 00:49:22,920 Speaker 1: just I don't even know where to go with that, 852 00:49:23,320 --> 00:49:25,680 Speaker 1: but you know, it's a good test as I continue 853 00:49:25,680 --> 00:49:29,080 Speaker 1: to try to grow in my career to be welcoming 854 00:49:29,480 --> 00:49:32,600 Speaker 1: of the panels when they don't appreciate one of the 855 00:49:32,600 --> 00:49:35,640 Speaker 1: the best rock album of all time. All Right, Doug, 856 00:49:35,880 --> 00:49:39,000 Speaker 1: what is your favorite track off of board to Run? 857 00:49:39,760 --> 00:49:42,920 Speaker 1: So this is very hard for me because I'm a massive, 858 00:49:43,000 --> 00:49:47,319 Speaker 1: massive Springsteen fan. You are what I can tell I 859 00:49:47,360 --> 00:49:49,040 Speaker 1: can't tell you. Whatever I can tell you is this. 860 00:49:49,080 --> 00:49:51,840 Speaker 1: I'm looking at my iTunes right now and it tells 861 00:49:51,880 --> 00:49:54,239 Speaker 1: me that I born to Run. The song that I've 862 00:49:54,320 --> 00:49:58,839 Speaker 1: listened to the most is Backstreets. Oh that's a good one. Uh, 863 00:49:59,160 --> 00:50:01,160 Speaker 1: that's a that's a you know. I want him to 864 00:50:01,200 --> 00:50:03,200 Speaker 1: do a documentary on this, kind of like the Michael 865 00:50:03,280 --> 00:50:06,239 Speaker 1: Jordan's one on ESPN. Remember that? And it all got 866 00:50:06,280 --> 00:50:08,600 Speaker 1: us through the month. What was it, March April? It 867 00:50:08,640 --> 00:50:11,480 Speaker 1: could still be March, who knows, but they should do 868 00:50:11,520 --> 00:50:16,120 Speaker 1: that with with the Boarder Run album, I really like 869 00:50:16,760 --> 00:50:19,040 Speaker 1: well go ahead, backs, go ahead? Well wait first, what 870 00:50:19,080 --> 00:50:23,560 Speaker 1: do you like about Backstreets? Um? Look, I truly love 871 00:50:23,640 --> 00:50:27,560 Speaker 1: every song on the album. That one. I don't know what. 872 00:50:27,760 --> 00:50:30,680 Speaker 1: I'll tell you A very quick story in Richmond, Virginia 873 00:50:30,920 --> 00:50:33,919 Speaker 1: in two thousand and eight, seeing Springsteen at the very 874 00:50:33,920 --> 00:50:36,640 Speaker 1: small Colisseum there and some friends were going to see 875 00:50:36,680 --> 00:50:39,920 Speaker 1: him in Hershey two nights later, and he pulled Backstreets 876 00:50:39,920 --> 00:50:42,200 Speaker 1: out of nowhere because a fan held up a sign 877 00:50:42,239 --> 00:50:45,520 Speaker 1: that said, my band just broke up play Back Streets 878 00:50:45,560 --> 00:50:47,839 Speaker 1: And as soon as that started a high five two 879 00:50:47,880 --> 00:50:49,680 Speaker 1: of my friends, Paul Kane being one of them who 880 00:50:49,760 --> 00:50:53,960 Speaker 1: you know, and said, I'm definitely in for Hershey. So yeah, 881 00:50:53,960 --> 00:50:56,839 Speaker 1: I just love it. It's it's monumental and epic and 882 00:50:56,960 --> 00:50:58,960 Speaker 1: small at the same time. Dave, I don't know if 883 00:50:58,960 --> 00:51:00,839 Speaker 1: it's been out for a while because he he puts 884 00:51:00,840 --> 00:51:03,640 Speaker 1: out so much live editions of his of his music. 885 00:51:03,680 --> 00:51:06,680 Speaker 1: But on Spotify they just released Thinking like two weeks ago, 886 00:51:07,080 --> 00:51:10,040 Speaker 1: some great acoustic work that he did on all of 887 00:51:10,080 --> 00:51:14,759 Speaker 1: these and it his It's just been amazing and he 888 00:51:14,760 --> 00:51:16,560 Speaker 1: wrote most of the album on the piano, and I 889 00:51:17,040 --> 00:51:20,080 Speaker 1: you know, I love reading the old issues of Rolling Stone. Okay, 890 00:51:20,080 --> 00:51:25,840 Speaker 1: Max Burds go favorite song off a board and run Max? 891 00:51:25,920 --> 00:51:31,800 Speaker 1: Do we lose Max? We lost Max? Max? He's gone, Okay, 892 00:51:32,080 --> 00:51:35,200 Speaker 1: I'm gonna say that my favorite song is I mean 893 00:51:35,239 --> 00:51:37,840 Speaker 1: I thunder Road, I love I love thunder Road. But 894 00:51:37,880 --> 00:51:39,440 Speaker 1: this week I've been listening to a lot of jungle 895 00:51:39,560 --> 00:51:43,760 Speaker 1: Land and go ahead. In fact, I had promised myself 896 00:51:43,760 --> 00:51:46,120 Speaker 1: this weekend that I was going to finally determine what 897 00:51:46,200 --> 00:51:48,759 Speaker 1: my favorite song from it was. And I think it's 898 00:51:48,760 --> 00:51:52,160 Speaker 1: back Streets, thunder Road or jungle Land. But it changes 899 00:51:52,200 --> 00:51:54,560 Speaker 1: every time I think about Yeah, it changes changes outside Max, 900 00:51:54,560 --> 00:52:01,400 Speaker 1: are you back MAXI maya? I was under Max, Max, 901 00:52:01,440 --> 00:52:04,919 Speaker 1: I did not move, Muta. What is your favorite song 902 00:52:05,000 --> 00:52:08,360 Speaker 1: off the Border run thunder Road? There's no yes, And 903 00:52:09,200 --> 00:52:11,319 Speaker 1: it's easy to tell you why. It's one of the 904 00:52:11,400 --> 00:52:14,680 Speaker 1: songs that's better live, which is tough to do, and 905 00:52:14,800 --> 00:52:17,240 Speaker 1: it's a song that makes anyone who covers it sound 906 00:52:17,320 --> 00:52:22,960 Speaker 1: really good. Wow. Well, I just think, yeah, it's it's 907 00:52:23,000 --> 00:52:25,879 Speaker 1: just absolutely I think I spent way too many much 908 00:52:25,880 --> 00:52:27,919 Speaker 1: time talking about this album all week, but it really 909 00:52:27,960 --> 00:52:31,480 Speaker 1: has provided me brevity. Uh and and I think you know, 910 00:52:31,600 --> 00:52:34,520 Speaker 1: but but truthfully speaking, I mean, here's an artist who 911 00:52:34,880 --> 00:52:38,080 Speaker 1: really never forgot where he came from. Uh. And it's 912 00:52:38,120 --> 00:52:40,400 Speaker 1: just been remarkable. And if if you go read some 913 00:52:40,440 --> 00:52:42,839 Speaker 1: of his early interviews from the nineteen eighties, he could 914 00:52:42,840 --> 00:52:47,960 Speaker 1: have given them yesterday. And uh yeah, Okay, so now 915 00:52:48,040 --> 00:52:51,680 Speaker 1: it is time for What's on your radar? What is 916 00:52:51,760 --> 00:52:55,759 Speaker 1: on your radar? Max? Go, what's on your radar? I'm 917 00:52:55,760 --> 00:52:59,480 Speaker 1: actually following the NBA Players Association to Seaton today to 918 00:52:59,520 --> 00:53:02,360 Speaker 1: go back to the playoffs. But they have struck a 919 00:53:02,400 --> 00:53:07,000 Speaker 1: great deal that actually will start turning NBA stadium into 920 00:53:07,280 --> 00:53:10,000 Speaker 1: polling places and places where you can go drop off 921 00:53:10,040 --> 00:53:13,080 Speaker 1: ballots high in the community, which I think is just 922 00:53:13,360 --> 00:53:16,520 Speaker 1: A it's proof strikes work, and B it's an example 923 00:53:16,560 --> 00:53:20,120 Speaker 1: of how these groups coming together have achieved something really 924 00:53:20,120 --> 00:53:23,520 Speaker 1: tangible and good for the country. That's a that's a 925 00:53:23,560 --> 00:53:26,600 Speaker 1: really that's a really fascinating one. The NBA is now, 926 00:53:27,000 --> 00:53:28,799 Speaker 1: I think facing a lot of Obviously they're in the 927 00:53:28,800 --> 00:53:31,120 Speaker 1: middle of a domestic conversation, but they're also in the 928 00:53:31,120 --> 00:53:34,040 Speaker 1: middle of a geopolitical conversation. And I think that next 929 00:53:34,080 --> 00:53:38,040 Speaker 1: week that conversation could come to fruition. Okay, what is 930 00:53:38,080 --> 00:53:41,239 Speaker 1: on your radar? Duck high, So one I look forward 931 00:53:41,280 --> 00:53:45,960 Speaker 1: to voting at National's Park. I think, Um, what I'm 932 00:53:45,960 --> 00:53:49,640 Speaker 1: looking for is to see how Um, Biden and Harris 933 00:53:49,680 --> 00:53:52,160 Speaker 1: react in the coming days to what we've seen in 934 00:53:52,680 --> 00:53:56,839 Speaker 1: in Kenosha after the Trump rally at the White House. 935 00:53:56,840 --> 00:53:58,600 Speaker 1: I can't believe I'm saying rally at the White House 936 00:53:58,880 --> 00:54:01,440 Speaker 1: with the threat that and and and jeering of of 937 00:54:01,560 --> 00:54:04,319 Speaker 1: Rand Paul, that there's a lot of conventional wisdom that 938 00:54:04,360 --> 00:54:06,440 Speaker 1: this is a very real problem for the Democrats, that 939 00:54:06,480 --> 00:54:08,839 Speaker 1: they have to address the violence. I'm interested to see 940 00:54:08,840 --> 00:54:10,520 Speaker 1: what the polling is on that is going to say 941 00:54:10,520 --> 00:54:14,000 Speaker 1: as well, Um, you know what's on my radar? No, 942 00:54:14,120 --> 00:54:16,200 Speaker 1: you don't. You know what's on my radar? Is? I 943 00:54:16,239 --> 00:54:18,279 Speaker 1: read about it in the Journal today. There's a new 944 00:54:18,360 --> 00:54:23,600 Speaker 1: documentary by Tyler Norwood called Robin's Wish and it comes 945 00:54:23,640 --> 00:54:27,440 Speaker 1: out on September one. I cannot wait to watch it. 946 00:54:27,440 --> 00:54:30,359 Speaker 1: It's going to be available cross streaming. And it's led 947 00:54:30,360 --> 00:54:34,880 Speaker 1: by Schneider Williams, who wants who is the wife of 948 00:54:34,920 --> 00:54:39,480 Speaker 1: the late legendary Robin Williams. And it's about his struggle 949 00:54:39,520 --> 00:54:43,120 Speaker 1: with Louis body dementia. And it really talks about Louis 950 00:54:43,160 --> 00:54:47,560 Speaker 1: body dementia and the science behind it, and it educates 951 00:54:47,560 --> 00:54:50,760 Speaker 1: people on this degenerative disease that takes over the brain 952 00:54:51,520 --> 00:54:55,960 Speaker 1: and everyone, unfortunately probably has some connection to dementia. But 953 00:54:56,080 --> 00:55:00,640 Speaker 1: Louis body dementia is a version of of the in 954 00:55:00,719 --> 00:55:05,680 Speaker 1: dementia family, and it really talks about how quickly this 955 00:55:05,760 --> 00:55:08,560 Speaker 1: disease can come on and it will be I think, 956 00:55:09,160 --> 00:55:12,560 Speaker 1: very touching and heartfelt of someone who is without question 957 00:55:13,200 --> 00:55:15,799 Speaker 1: one of the best comedians of all time, and who 958 00:55:15,840 --> 00:55:19,240 Speaker 1: had a very public struggle and was very open about 959 00:55:19,280 --> 00:55:21,480 Speaker 1: some of his struggles regarding mental health and whatnot. But 960 00:55:21,560 --> 00:55:24,960 Speaker 1: this was something that he never really discussed. And um, 961 00:55:25,000 --> 00:55:27,200 Speaker 1: I think it could do a lot for the conversation 962 00:55:27,320 --> 00:55:33,000 Speaker 1: surrounding dementia and maybe, just maybe could be another area 963 00:55:33,200 --> 00:55:37,720 Speaker 1: of nonpartisan, a nonpartisan issue in terms of funding, because again, 964 00:55:38,000 --> 00:55:42,520 Speaker 1: like cancer, everyone has a connection to dementia. I want 965 00:55:42,520 --> 00:55:48,520 Speaker 1: to thank everyone for listening all week and for tuning in. Um, 966 00:55:48,560 --> 00:55:52,239 Speaker 1: I hope everyone is a great weekend. Be safe, be productive, 967 00:55:52,760 --> 00:55:55,799 Speaker 1: be grateful, be humble. Thank you to Doug Hi, Thank 968 00:55:55,840 --> 00:55:59,480 Speaker 1: you to Max Burns, Maxie and download the Bloomberg Sound 969 00:55:59,520 --> 00:56:02,200 Speaker 1: On podcast on Apple iTunes, at Bloomberg dot com, or 970 00:56:02,239 --> 00:56:05,400 Speaker 1: by downloading the Bloomberg Business app. You can also find 971 00:56:05,440 --> 00:56:09,320 Speaker 1: me on I Heart Radio, Apple iTunes and Spotify or 972 00:56:09,440 --> 00:56:13,720 Speaker 1: Radio dot com. Um next week, I'm gonna be filling 973 00:56:13,719 --> 00:56:15,880 Speaker 1: in on the anchor desk Monday and Tuesday for the 974 00:56:16,040 --> 00:56:20,919 Speaker 1: legendary David Weston on the Neon Television hour at noon 975 00:56:21,000 --> 00:56:24,440 Speaker 1: Eastern and then Balance Power at the one o'clock hour, 976 00:56:24,560 --> 00:56:28,560 Speaker 1: and then of course sound on. All right, guys and everyone, guys, gals, 977 00:56:28,560 --> 00:56:30,640 Speaker 1: everyone listening. Thank you, have a great weekend. You're listening 978 00:56:30,640 --> 00:56:31,080 Speaker 1: to Bloomberg.