1 00:00:00,320 --> 00:00:03,040 Speaker 1: Why from our nation's camera, this budget thing is going 2 00:00:03,080 --> 00:00:05,520 Speaker 1: to do nothing? Space forts. I still think it's interesting 3 00:00:05,519 --> 00:00:08,880 Speaker 1: President Trump not playing his cards yet. Headlines Policy and 4 00:00:09,039 --> 00:00:14,920 Speaker 1: Politics colliding, Bloomberg Sound On, the insidings, the influencers, the insides. 5 00:00:15,040 --> 00:00:17,319 Speaker 1: I would rather see a congressional solution. It's part of 6 00:00:17,320 --> 00:00:20,480 Speaker 1: my DNA. The Senate map in looks a lot different 7 00:00:20,480 --> 00:00:22,840 Speaker 1: than it looked in. President Trump was sent here to 8 00:00:22,920 --> 00:00:26,840 Speaker 1: smash conventional norms. In a sense, Bernie Sanders has already washed. 9 00:00:26,920 --> 00:00:31,560 Speaker 1: This is Bloomberg Sound On with Kevin Shirley on Bloomberg 10 00:00:33,000 --> 00:00:35,240 Speaker 1: one oh five point seven F M h D two 11 00:00:36,400 --> 00:00:39,800 Speaker 1: Super Tuesday, Super Tuesday. Are you ready for this? We've 12 00:00:39,840 --> 00:00:43,800 Speaker 1: got every angle covered. James Holman's here. I've got to 13 00:00:43,840 --> 00:00:46,800 Speaker 1: read his lead that he just posted this morning. Pete 14 00:00:46,800 --> 00:00:49,760 Speaker 1: Buddha Gedge dropped out of the presidential race while I 15 00:00:49,880 --> 00:00:52,600 Speaker 1: was flying here to cover a rally he had scheduled 16 00:00:52,840 --> 00:00:55,920 Speaker 1: for Monday. To salvage the trip, I decided to drive 17 00:00:55,960 --> 00:00:59,920 Speaker 1: to Tulsa to see Amy Klobuchar. She suspended her campaign 18 00:01:00,040 --> 00:01:02,680 Speaker 1: just as I hit the road. Instead, both trek to 19 00:01:02,760 --> 00:01:06,160 Speaker 1: Dallas to endorse Joe Biden. Welcome to Life, on the 20 00:01:06,160 --> 00:01:08,959 Speaker 1: campaign trail with Jay Holman. He's of course from the 21 00:01:08,959 --> 00:01:13,120 Speaker 1: Washington Post. He's gonna be here. Louise Skavoni returns my 22 00:01:13,280 --> 00:01:16,320 Speaker 1: good friend. She of course is a journalist and senior 23 00:01:16,440 --> 00:01:21,320 Speaker 1: lecturer at Johns Hopkins University, carry Business School, and The Markets, 24 00:01:21,640 --> 00:01:25,080 Speaker 1: the Fed, the Markets Coronavirus. We're gonna check in um 25 00:01:25,560 --> 00:01:29,160 Speaker 1: with David Burson. He's the chief economist at Nationwide. So 26 00:01:29,600 --> 00:01:31,800 Speaker 1: happy Super Tuesday, folks, Thanks for spending it with me. 27 00:01:31,880 --> 00:01:35,120 Speaker 1: I'm Kevin Cilli, chief Washington correspondent from Bloomberg Television and Radio. 28 00:01:35,280 --> 00:01:37,959 Speaker 1: James Holman's here from the Washington Post and author of 29 00:01:37,959 --> 00:01:40,520 Speaker 1: course of the Daily two oh two. James, So, you 30 00:01:40,600 --> 00:01:43,920 Speaker 1: literally just landed from Oklahoma City after not being able 31 00:01:43,959 --> 00:01:48,640 Speaker 1: to report there because Coloba char and Buddha Judge dropped out. Yeah. Well, 32 00:01:48,680 --> 00:01:50,440 Speaker 1: I've been all over to the I've been half a 33 00:01:50,480 --> 00:01:53,040 Speaker 1: dozen of the Super Tuesday states over the last couple 34 00:01:53,080 --> 00:01:56,000 Speaker 1: of weeks, and it's an amazingly fluid race. And what's 35 00:01:56,000 --> 00:01:58,320 Speaker 1: amazing is that on the ground, you know, I talked 36 00:01:58,320 --> 00:02:01,360 Speaker 1: to dozens of voters. I spent Saturday and Sunday reporting 37 00:02:01,360 --> 00:02:02,720 Speaker 1: in Houston, which is one of the kind of the 38 00:02:02,720 --> 00:02:06,640 Speaker 1: battlegrounds within a battleground. Texas is the second biggest delegate 39 00:02:06,680 --> 00:02:09,560 Speaker 1: prize tonight, and uh, and all the candidates have sort 40 00:02:09,560 --> 00:02:12,600 Speaker 1: of traveled there. Elizabeth Warren's first, you know, that's where 41 00:02:12,600 --> 00:02:16,120 Speaker 1: she graduated from a commuter college on a skateboard. I 42 00:02:16,160 --> 00:02:19,920 Speaker 1: was on a skateboard Bernie's. You know, Bernie has a 43 00:02:20,000 --> 00:02:24,000 Speaker 1: big following, especially among young Latinos. A lot of kind 44 00:02:24,000 --> 00:02:29,720 Speaker 1: of suburban educated people, very uneasy with with Sanders and 45 00:02:29,720 --> 00:02:32,239 Speaker 1: and trying to decide which is kind of the more 46 00:02:32,240 --> 00:02:35,000 Speaker 1: moderate candidates to support. And it was really amazing. So 47 00:02:35,080 --> 00:02:37,560 Speaker 1: I spent the weekend in Houston talking to voters. I 48 00:02:37,600 --> 00:02:39,920 Speaker 1: went to Lizzie Fletcher's house district. So this is the 49 00:02:39,960 --> 00:02:43,799 Speaker 1: Texas seventh congressional district. It is seven, It's the district 50 00:02:43,800 --> 00:02:46,600 Speaker 1: George H. W. Bush. I'm going to interrupt you because 51 00:02:46,600 --> 00:02:49,280 Speaker 1: I want to focus everybody. This is why you listen 52 00:02:49,360 --> 00:02:52,680 Speaker 1: to James Holman, because he knows Texas seven and he 53 00:02:52,720 --> 00:02:56,239 Speaker 1: knows Bush Country better than anybody. And so he's taking 54 00:02:56,320 --> 00:02:59,040 Speaker 1: us right into the heart of Texas, which is a 55 00:02:59,080 --> 00:03:03,360 Speaker 1: battleground to on Super Tuesday, the delegate rich state of 56 00:03:03,440 --> 00:03:06,160 Speaker 1: Texas that both Barnie Sanders and Joe Biden won a 57 00:03:06,280 --> 00:03:09,000 Speaker 1: nap and now he's gonna tell us why this particular 58 00:03:09,040 --> 00:03:12,080 Speaker 1: district we should watch. So this district is was a 59 00:03:12,120 --> 00:03:16,200 Speaker 1: big Democratic pickup in terms, and Democrats, a kind of 60 00:03:16,280 --> 00:03:19,919 Speaker 1: establishment Democrats, have been very worried that this is exactly 61 00:03:19,960 --> 00:03:24,040 Speaker 1: the kind of district where Sanders would cost them down 62 00:03:24,080 --> 00:03:26,600 Speaker 1: the ballot. And so there's a bunch of medical centers, 63 00:03:26,600 --> 00:03:30,239 Speaker 1: there's a famous cancer center there. The biggest employer is 64 00:03:30,240 --> 00:03:33,120 Speaker 1: is oil and natural gas and fracking band would be 65 00:03:33,120 --> 00:03:36,600 Speaker 1: devastating for that district. And so the national Democrats and 66 00:03:36,640 --> 00:03:39,440 Speaker 1: Texas Democrats have been very worried about Sanders as he's 67 00:03:39,480 --> 00:03:41,960 Speaker 1: gotten momentum in a district in a kind of suburban 68 00:03:42,000 --> 00:03:44,800 Speaker 1: Houston college educated. It's exactly the kind of people that 69 00:03:44,840 --> 00:03:47,320 Speaker 1: don't like the president but also don't like Bernie Sanders. 70 00:03:47,360 --> 00:03:49,880 Speaker 1: And why the House flipped in exactly. And so it's 71 00:03:49,920 --> 00:03:52,680 Speaker 1: fascinating because on Saturday I talked to tons of voters 72 00:03:52,720 --> 00:03:54,320 Speaker 1: around this district who were kind of like, I don't 73 00:03:54,320 --> 00:03:56,320 Speaker 1: know what to do. I don't want Sanders. And then 74 00:03:56,360 --> 00:04:00,000 Speaker 1: on Sunday you did feel a movement toward Biden after 75 00:04:00,080 --> 00:04:03,680 Speaker 1: South Carolina. These are rational, highly educated, informed voters who 76 00:04:03,680 --> 00:04:05,680 Speaker 1: are kind of trying to read the tea leaves and 77 00:04:05,680 --> 00:04:09,120 Speaker 1: figure out what to do because they dislike Donald Trump. 78 00:04:09,160 --> 00:04:15,280 Speaker 1: You know, they're moderate, but they also at back and 79 00:04:15,280 --> 00:04:18,320 Speaker 1: I'm not LETI Skone's here. She is a journalist senior 80 00:04:18,360 --> 00:04:21,040 Speaker 1: lector at Johns Hopkins University Carey Business School. I'm gonna 81 00:04:21,080 --> 00:04:23,839 Speaker 1: rip up the script to quote Tom Keen on Super Tuesday, 82 00:04:23,920 --> 00:04:26,359 Speaker 1: because who needs a script on Super Tuesday? This is 83 00:04:26,400 --> 00:04:28,680 Speaker 1: what we live for. But he said something there these 84 00:04:29,040 --> 00:04:32,560 Speaker 1: that they're rational folks there. I don't think we can 85 00:04:32,600 --> 00:04:35,719 Speaker 1: say that. I'm going to be hesitant to use the 86 00:04:35,720 --> 00:04:37,960 Speaker 1: words rational and moderate because I know a lot of 87 00:04:38,040 --> 00:04:40,159 Speaker 1: rational people who are on the far right and a 88 00:04:40,160 --> 00:04:42,080 Speaker 1: lot of rational people who are on the far left, 89 00:04:42,640 --> 00:04:44,800 Speaker 1: and they at least think that they're rational. And I 90 00:04:44,839 --> 00:04:47,440 Speaker 1: think what Bernie Sanders and President Trump have done is 91 00:04:47,560 --> 00:04:51,279 Speaker 1: upended conventional wisdom about big structural changes, and I just 92 00:04:51,320 --> 00:04:54,080 Speaker 1: want to throw that into the conversation. So I think 93 00:04:54,080 --> 00:04:57,120 Speaker 1: that the reason people use the word rational when they 94 00:04:57,120 --> 00:05:00,760 Speaker 1: talk about Biden versus Sanders or word Trump is that 95 00:05:01,000 --> 00:05:07,479 Speaker 1: Sanders and Trump both have followers who are extremely excitable 96 00:05:07,560 --> 00:05:11,320 Speaker 1: to you know, to justist, I mean way more excitable 97 00:05:11,360 --> 00:05:14,920 Speaker 1: than people who just want to see everything be UH 98 00:05:15,440 --> 00:05:18,440 Speaker 1: are are seeking a calm in the political waters, a 99 00:05:18,560 --> 00:05:23,320 Speaker 1: predictability in the political waters, which I think was part 100 00:05:23,360 --> 00:05:29,000 Speaker 1: of the reason that the markets UH were boosted after Buddha, 101 00:05:29,080 --> 00:05:32,120 Speaker 1: Judge and klobshar through wind behind Biden. Well, that's a 102 00:05:32,120 --> 00:05:33,800 Speaker 1: great point, Lisa, and I want to I want to 103 00:05:33,839 --> 00:05:35,320 Speaker 1: come back to that. And coming up, we're gonna check 104 00:05:35,360 --> 00:05:37,960 Speaker 1: up with David Burson, Chief Economists and nationwide who's gonna 105 00:05:38,000 --> 00:05:40,520 Speaker 1: call in and we're gonna talk about all the volatility 106 00:05:40,520 --> 00:05:42,440 Speaker 1: in the markets and what happened with the Fed today. 107 00:05:42,600 --> 00:05:45,200 Speaker 1: But sticking with Super Tuesday just for a second, here 108 00:05:45,200 --> 00:05:48,080 Speaker 1: are my three big takeaways. Number One, pay attention to 109 00:05:48,160 --> 00:05:51,120 Speaker 1: Texas seven and also suburban districts around the country tonight 110 00:05:51,320 --> 00:05:55,120 Speaker 1: in the Super Tuesday states, because if you're Joe Biden 111 00:05:55,200 --> 00:05:57,520 Speaker 1: and you lose Super Tuesday in terms of the delegate math, 112 00:05:57,720 --> 00:05:59,560 Speaker 1: Biden world is going to be pushing that he was 113 00:05:59,600 --> 00:06:02,279 Speaker 1: able to win in suburban districts and that's what you 114 00:06:02,320 --> 00:06:04,640 Speaker 1: need in order to win in a general election as 115 00:06:04,640 --> 00:06:07,480 Speaker 1: well as down ballot races. That's literally going to be 116 00:06:07,600 --> 00:06:10,919 Speaker 1: what Joe Biden World pushes too. Does Bernie win big? 117 00:06:11,200 --> 00:06:13,440 Speaker 1: I mean, look at California, look at Texas. If he's 118 00:06:13,480 --> 00:06:16,400 Speaker 1: able to win big in those states, Uh, he gets 119 00:06:16,440 --> 00:06:19,320 Speaker 1: even closer to one thousand, nine hundred and nine. How 120 00:06:19,320 --> 00:06:22,720 Speaker 1: many delegates, folks, one thousand, nine hundred and nine. One, 121 00:06:22,960 --> 00:06:25,520 Speaker 1: of course, the threshold you need to clinch the nomination. 122 00:06:25,560 --> 00:06:28,640 Speaker 1: But lastly is if it's a bad night for Biden. 123 00:06:28,680 --> 00:06:30,560 Speaker 1: This is where I want to come back to you, James. 124 00:06:30,720 --> 00:06:33,520 Speaker 1: If it's a bad night for Biden, he's going to 125 00:06:33,640 --> 00:06:36,360 Speaker 1: be able to say, well, it's because other people are 126 00:06:36,360 --> 00:06:39,360 Speaker 1: in the race. And it's absolutely Carmer New York City 127 00:06:39,360 --> 00:06:41,040 Speaker 1: Mayor Michael Bloomberg, who of course is the founder of 128 00:06:41,080 --> 00:06:43,880 Speaker 1: majority owner of Bloomberg LP, which is the primary owner 129 00:06:43,920 --> 00:06:46,400 Speaker 1: of Bloomberg Radio, Go ahead, and Kevin. One of the 130 00:06:46,400 --> 00:06:49,839 Speaker 1: things from a narrative perspective, obviously, one thousand delegates is 131 00:06:49,839 --> 00:06:51,560 Speaker 1: exactly right, that's what this is about. That's who's going 132 00:06:51,600 --> 00:06:55,400 Speaker 1: to be the nominee. But but for narrative purposes, it's 133 00:06:55,400 --> 00:06:58,200 Speaker 1: really interesting because there are fourteen states in American Samoa 134 00:06:58,200 --> 00:07:01,840 Speaker 1: that vote tonight. Biden's good states are in the East 135 00:07:02,000 --> 00:07:03,840 Speaker 1: and so they're gonna the results we get first are 136 00:07:03,839 --> 00:07:07,240 Speaker 1: gonna look good for Biden because they're Southern, they're largely 137 00:07:07,279 --> 00:07:10,240 Speaker 1: African American states. It's you know, they're more similar to 138 00:07:10,280 --> 00:07:14,280 Speaker 1: South Carolina than not Virginia, North Carolina. Alabama is going 139 00:07:14,320 --> 00:07:17,560 Speaker 1: to be a big Biden state. And but then Bernie's 140 00:07:17,600 --> 00:07:20,920 Speaker 1: really good states are in the West. So polls don't 141 00:07:20,960 --> 00:07:24,040 Speaker 1: close in California until eleven PM Eastern Bernie Sanders is 142 00:07:24,080 --> 00:07:26,200 Speaker 1: expected to win in California, would be a big deal 143 00:07:26,240 --> 00:07:28,240 Speaker 1: if he didn't. The question is the margin, and the 144 00:07:28,320 --> 00:07:31,600 Speaker 1: question is that the way that the margin breaks down 145 00:07:31,600 --> 00:07:33,920 Speaker 1: by congressional district. But the problem is we won't know 146 00:07:34,040 --> 00:07:36,840 Speaker 1: for a while how big his win is in California, 147 00:07:37,040 --> 00:07:39,920 Speaker 1: so he doesn't take all the delegates in California if 148 00:07:40,000 --> 00:07:44,360 Speaker 1: another candidate get or higher. Right, Absolutely, and and that's 149 00:07:44,400 --> 00:07:47,400 Speaker 1: the big difference between the Democratic primary and the Republican 150 00:07:47,440 --> 00:07:49,600 Speaker 1: primary four years ago with Trump. One of the reasons 151 00:07:49,600 --> 00:07:52,280 Speaker 1: Trump was able on Super Tuesday to Super Trump was 152 00:07:52,320 --> 00:07:54,679 Speaker 1: able to run up the margin because starting on March 153 00:07:54,760 --> 00:07:57,480 Speaker 1: one on the Republican side, all the states could be 154 00:07:57,480 --> 00:07:59,920 Speaker 1: winner take Also, Trump could win by you know, with 155 00:08:00,760 --> 00:08:02,600 Speaker 1: and get all the delegates. That's not the way it's 156 00:08:02,600 --> 00:08:06,040 Speaker 1: gonna work. On the Democratic side, every cycle I get annoyed. 157 00:08:06,240 --> 00:08:09,160 Speaker 1: I think they should have the same rules were all Americans. 158 00:08:09,320 --> 00:08:12,119 Speaker 1: Whoever gets the most folks wins. I mean, it's nuts. 159 00:08:12,120 --> 00:08:14,760 Speaker 1: All right. Let's listen to Bernie Sanders as he was 160 00:08:14,800 --> 00:08:17,920 Speaker 1: talking about beating Trump. This is what he said in Burlington, Vermont, 161 00:08:17,960 --> 00:08:20,400 Speaker 1: earlier today. While all in the campaign trail to beat 162 00:08:20,560 --> 00:08:23,720 Speaker 1: Donald Trump, we are gonna need to have the lodgers 163 00:08:23,800 --> 00:08:25,920 Speaker 1: vote to turnout. In the history of this country. We 164 00:08:25,960 --> 00:08:29,400 Speaker 1: need energy, we need excitement. I think our campaign is 165 00:08:29,440 --> 00:08:32,440 Speaker 1: that campaign. I like that sound because it really sums 166 00:08:32,480 --> 00:08:34,160 Speaker 1: up when he's pitching that he'll be able to expand 167 00:08:34,200 --> 00:08:36,360 Speaker 1: the party. Here's Joe Biden, former VP. Here he is 168 00:08:38,040 --> 00:08:41,720 Speaker 1: heading down to southern California from here, and uh, I 169 00:08:41,760 --> 00:08:44,400 Speaker 1: feel good. I love these sound bites because it's just 170 00:08:44,520 --> 00:08:47,880 Speaker 1: I mean, at this point, throw policy out the window. 171 00:08:47,920 --> 00:08:49,800 Speaker 1: I mean, this is about turnout. This is about the 172 00:08:49,800 --> 00:08:52,240 Speaker 1: mechanics of the race. And it's why I'm so grateful 173 00:08:52,280 --> 00:08:54,640 Speaker 1: that James is here, Luis is here. Coming up, we're 174 00:08:54,640 --> 00:08:57,200 Speaker 1: gonna check in on the economy. Download the Bloomberg sound 175 00:08:57,200 --> 00:08:59,839 Speaker 1: On podcast on Apple iTunes, at Bloomberg dot com, or 176 00:08:59,840 --> 00:09:02,120 Speaker 1: by downloading the Bloomberg Business app. You can also find 177 00:09:02,120 --> 00:09:04,720 Speaker 1: me on Radio dot com, I Heart Radio, and Spotify. 178 00:09:04,760 --> 00:09:08,360 Speaker 1: Special coverage tonight on Bloomberg Radio and Bloomberg Television. David 179 00:09:08,400 --> 00:09:12,640 Speaker 1: Weston anchors, We're focusing on all of the policy behind 180 00:09:12,800 --> 00:09:16,000 Speaker 1: the politics on a super Tuesday. Hey, I think every 181 00:09:16,040 --> 00:09:19,840 Speaker 1: Tuesday super, Every Tuesday should be super. I'm Kevin Serelli, 182 00:09:19,880 --> 00:09:27,080 Speaker 1: and you're listening to Bloomberg. You're listening to Bloomberg Sound 183 00:09:27,120 --> 00:09:31,120 Speaker 1: On with Kevin Currele on Bloomberg and one oh five 184 00:09:31,160 --> 00:09:34,080 Speaker 1: point seven FM h D two. I don't think anybody 185 00:09:34,080 --> 00:09:36,599 Speaker 1: knows how long it will be. I do know that 186 00:09:36,360 --> 00:09:38,600 Speaker 1: that that the U. S. Economy is strong and we 187 00:09:38,640 --> 00:09:40,880 Speaker 1: will get to the other side of this, and I 188 00:09:40,960 --> 00:09:44,440 Speaker 1: fully expect that we will return to to you know, 189 00:09:44,520 --> 00:09:47,880 Speaker 1: solid growth in a solid labor market. That was fed 190 00:09:48,000 --> 00:09:52,280 Speaker 1: Chair J. Powell speaking earlier today at as he announced 191 00:09:52,320 --> 00:09:57,600 Speaker 1: an emergency interest rate cut earlier on Tuesday. I'm Kevin Cirelli, 192 00:09:57,679 --> 00:10:01,600 Speaker 1: Chief Washington correspondent form Bloomberg Television and Bloomberg Radio. He 193 00:10:01,720 --> 00:10:04,760 Speaker 1: was asked if he's confident of a quick and relatively 194 00:10:04,840 --> 00:10:09,679 Speaker 1: complete recovery following the persistent decline in the markets as 195 00:10:09,720 --> 00:10:13,240 Speaker 1: it relates to the coronavirus. Joining us on the line 196 00:10:13,280 --> 00:10:15,440 Speaker 1: as someone who I am very grateful is able to 197 00:10:15,440 --> 00:10:17,920 Speaker 1: make time for us this evening, David Burson. He is 198 00:10:18,000 --> 00:10:21,000 Speaker 1: chief economists at Nationwide. David, thank you for joining us. 199 00:10:21,520 --> 00:10:23,439 Speaker 1: Kevin happy to be here. All right. So what did 200 00:10:23,440 --> 00:10:25,560 Speaker 1: the FED do today and what does it mean for 201 00:10:25,880 --> 00:10:31,240 Speaker 1: folks pocketbooks rather savings. Well, the FED cut the federal 202 00:10:31,240 --> 00:10:34,640 Speaker 1: funge rate by half percentage point and brought it down 203 00:10:34,960 --> 00:10:37,920 Speaker 1: the lower into it to one. So what what people 204 00:10:37,920 --> 00:10:42,679 Speaker 1: will see is that, uh, their savings savings rate will 205 00:10:42,679 --> 00:10:46,360 Speaker 1: go down. UM borrowing rates probably won't change very much, 206 00:10:46,400 --> 00:10:49,720 Speaker 1: although to the extent that markets think the FED will 207 00:10:49,760 --> 00:10:52,880 Speaker 1: ease further, and I think markets do think the Fed 208 00:10:52,880 --> 00:10:55,960 Speaker 1: will ease further. It also helps bring long term rates down, 209 00:10:56,200 --> 00:10:59,320 Speaker 1: so people may see they want to reapinance mortgage rates 210 00:10:59,600 --> 00:11:04,640 Speaker 1: somewhat lower, UM auto loan rates somewhat lower. But really 211 00:11:04,840 --> 00:11:06,800 Speaker 1: the big impact is going to be on savers where 212 00:11:06,800 --> 00:11:09,839 Speaker 1: it's negative. So I think this is fascinating and I'm 213 00:11:09,840 --> 00:11:12,040 Speaker 1: reading from the Bloomberg terminal. Luke Kawa, who was on 214 00:11:12,040 --> 00:11:15,760 Speaker 1: the program, Yesterday, he reports the headline reading what markets 215 00:11:15,880 --> 00:11:19,320 Speaker 1: didn't like about Powell scant tools short answers. If for 216 00:11:19,360 --> 00:11:22,040 Speaker 1: no other reason than he paused a seven day plunge 217 00:11:22,400 --> 00:11:25,720 Speaker 1: that erased six trillion dollars fed share, J Powell deserves 218 00:11:25,760 --> 00:11:28,520 Speaker 1: the thanks of stock bulls. The SMP five hundred is 219 00:11:28,600 --> 00:11:31,240 Speaker 1: up about six percent from when he first mold rate 220 00:11:31,320 --> 00:11:34,080 Speaker 1: cuts on Friday, and anyone who lived through last week 221 00:11:34,240 --> 00:11:38,160 Speaker 1: is glad for the rest the glad for that. Uh so. 222 00:11:38,760 --> 00:11:41,120 Speaker 1: But given the reaction in the market today, it's clear 223 00:11:41,160 --> 00:11:44,920 Speaker 1: there's this anxiety mixed with gratitude. I like that phrase, 224 00:11:45,000 --> 00:11:48,640 Speaker 1: anxiety mixed with gratitude. Luke well Well said, so how 225 00:11:48,640 --> 00:11:51,280 Speaker 1: do we get rid of the anxiety and back to 226 00:11:51,520 --> 00:11:54,880 Speaker 1: less volatility? David Well, I don't know that we can 227 00:11:54,920 --> 00:11:59,080 Speaker 1: get rid of the anxiety until we get farther through 228 00:11:59,160 --> 00:12:02,600 Speaker 1: the impact of the coronavirus. Uh yeah. The uncertainty is 229 00:12:02,640 --> 00:12:06,880 Speaker 1: coming primarily from that. Nobody really knows how big the 230 00:12:06,920 --> 00:12:10,360 Speaker 1: impact is going to be on health. Nobody really knows 231 00:12:10,440 --> 00:12:13,319 Speaker 1: as a result, what the impact will be on the economy. 232 00:12:13,520 --> 00:12:16,160 Speaker 1: We're all hoping that the impact on health will be 233 00:12:16,200 --> 00:12:18,800 Speaker 1: modest and the impact on the economy will be modest 234 00:12:18,840 --> 00:12:21,320 Speaker 1: as well, but we don't know that. And until we 235 00:12:21,400 --> 00:12:24,120 Speaker 1: have a little certainty there and that maybe months down 236 00:12:24,120 --> 00:12:27,160 Speaker 1: the road, there's going to be great volatility. You know, 237 00:12:27,200 --> 00:12:32,560 Speaker 1: There's this other interesting dynamic about how really this exposes, 238 00:12:32,679 --> 00:12:38,320 Speaker 1: David Burson, chief economist at Nationwide, a glaring, gaping whole 239 00:12:38,400 --> 00:12:41,520 Speaker 1: for the business community around the world, which are these 240 00:12:41,520 --> 00:12:46,520 Speaker 1: pandemics and health scares. And I'm curious from your perspective, 241 00:12:46,679 --> 00:12:49,920 Speaker 1: as you crunch all of the data on this UH 242 00:12:50,160 --> 00:12:54,200 Speaker 1: and have lived through these types of volatile reactions and 243 00:12:54,240 --> 00:12:56,760 Speaker 1: swings in the markets as it relates to health, is 244 00:12:56,760 --> 00:12:59,520 Speaker 1: there anything that can be done to prevent this type 245 00:12:59,559 --> 00:13:03,240 Speaker 1: of swing in the future, not necessarily for the coronavirus, 246 00:13:03,280 --> 00:13:05,800 Speaker 1: but for the next virus and whether it, you know, 247 00:13:05,840 --> 00:13:09,439 Speaker 1: hopefully is a long way out. I think that genie 248 00:13:09,520 --> 00:13:11,720 Speaker 1: is long out of the bottle, and it's not so 249 00:13:11,800 --> 00:13:15,160 Speaker 1: much where production is, although that clearly has an impact. 250 00:13:15,600 --> 00:13:19,480 Speaker 1: But in today's world where people travel around the world 251 00:13:19,520 --> 00:13:25,080 Speaker 1: in a matter of hours, viruses can get anywhere also 252 00:13:25,120 --> 00:13:28,559 Speaker 1: within a matter of hours. And while while we're concerned 253 00:13:28,679 --> 00:13:33,400 Speaker 1: right now and rightly so about supply chains and that 254 00:13:33,400 --> 00:13:36,840 Speaker 1: that's the big impact right now. The ultimately perhaps the 255 00:13:36,840 --> 00:13:41,920 Speaker 1: bigger concern with the virus is that people decide that 256 00:13:42,040 --> 00:13:44,840 Speaker 1: it's too dangerous to go out, it's too dangerous to 257 00:13:44,840 --> 00:13:47,280 Speaker 1: go to work. I can't go to a restaurant, I 258 00:13:47,320 --> 00:13:49,679 Speaker 1: can't go to the ball game, and they pull back, 259 00:13:50,040 --> 00:13:53,319 Speaker 1: and then we get a really nasty, perhaps short recession. 260 00:13:53,800 --> 00:13:57,440 Speaker 1: There's two things going on. It's it's people's reactions and 261 00:13:57,480 --> 00:13:59,720 Speaker 1: it's the supply chain. So I think this is fascinating. 262 00:14:00,040 --> 00:14:02,520 Speaker 1: In person is on the line. He's the chief economist 263 00:14:02,600 --> 00:14:06,280 Speaker 1: at Nationwide UH, and he was also the he's the 264 00:14:06,320 --> 00:14:09,720 Speaker 1: former vice president and chief economist for Fannie May UH. 265 00:14:09,760 --> 00:14:13,000 Speaker 1: And I think this is fascinating because in the context 266 00:14:13,000 --> 00:14:15,960 Speaker 1: of inside of the Beltway chatter, we often talk about 267 00:14:16,000 --> 00:14:19,680 Speaker 1: this every time there's a partial government shutdown, which is that, yeah, 268 00:14:19,680 --> 00:14:21,600 Speaker 1: people get paid on the back end, but it's the 269 00:14:21,600 --> 00:14:24,320 Speaker 1: mom and pop shops that really get I don't want 270 00:14:24,360 --> 00:14:25,920 Speaker 1: to say the word that I want to say because 271 00:14:25,920 --> 00:14:29,120 Speaker 1: I'm on air, but that get a hit because they 272 00:14:29,600 --> 00:14:31,800 Speaker 1: people don't go to lunch or they don't go out 273 00:14:32,400 --> 00:14:35,680 Speaker 1: to to do anything because of that. And and we 274 00:14:35,720 --> 00:14:38,800 Speaker 1: had an economist on last week, David who described it 275 00:14:38,840 --> 00:14:41,720 Speaker 1: as almost you know, job stays this Friday, for example. 276 00:14:42,360 --> 00:14:44,800 Speaker 1: Who says every time that there's a major weather storm, 277 00:14:44,880 --> 00:14:48,040 Speaker 1: for example, there seems to be an issue with the 278 00:14:48,120 --> 00:14:51,720 Speaker 1: job numbers, but ultimately it's it's rebounded. Is that a 279 00:14:51,720 --> 00:14:54,800 Speaker 1: proper way to look at this? As almost as if 280 00:14:54,800 --> 00:14:57,920 Speaker 1: it's a hurricane. There's differences, but are there similarities in 281 00:14:58,000 --> 00:15:00,920 Speaker 1: terms of how market reaction might be. I think not 282 00:15:00,960 --> 00:15:04,720 Speaker 1: only market reaction, but but economic reaction as well. Um. 283 00:15:04,800 --> 00:15:08,280 Speaker 1: This is not being caused because the FED tighten monetary policy. 284 00:15:08,440 --> 00:15:12,600 Speaker 1: This is not being caused because financial markets went crazy 285 00:15:13,040 --> 00:15:17,760 Speaker 1: um or or businesses went crazy with with inventories. It's 286 00:15:17,800 --> 00:15:22,000 Speaker 1: being caused by something completely out of control of the government, 287 00:15:22,160 --> 00:15:24,600 Speaker 1: out of control of financial markets. And in that sense, 288 00:15:24,840 --> 00:15:27,440 Speaker 1: it's much more like a weather event. And we get 289 00:15:27,480 --> 00:15:30,520 Speaker 1: through weather events. They tend to be shorter when they hit, 290 00:15:30,800 --> 00:15:34,720 Speaker 1: and they take a while to to to clean up afterwards. 291 00:15:34,800 --> 00:15:37,120 Speaker 1: This is something that will take a longer time to 292 00:15:37,200 --> 00:15:41,520 Speaker 1: hit because it's gonna be months before we're through the 293 00:15:41,600 --> 00:15:45,040 Speaker 1: virus um. But once we're through it, we're through it, 294 00:15:45,480 --> 00:15:49,280 Speaker 1: so the it won't linger as much as say a 295 00:15:49,360 --> 00:15:53,640 Speaker 1: hurricane Katrina Katrina did or um bad tornadoes in a 296 00:15:53,680 --> 00:15:56,040 Speaker 1: metropolitan area. Do you think that other countries are gonna 297 00:15:56,040 --> 00:16:01,240 Speaker 1: follow J Powell's leading? Almost certainly, almost their only Yes, um, 298 00:16:01,280 --> 00:16:04,520 Speaker 1: and that's good news, right. Well, it is to to 299 00:16:04,600 --> 00:16:08,360 Speaker 1: see coordinated moves rather than in one country moving. Now. 300 00:16:08,440 --> 00:16:11,400 Speaker 1: We had Australia move first because they went yesterday, but 301 00:16:11,520 --> 00:16:15,120 Speaker 1: I think the other G seven nations will follow in 302 00:16:15,200 --> 00:16:17,960 Speaker 1: one form or another pretty quickly over the next week. 303 00:16:18,040 --> 00:16:20,480 Speaker 1: And just some more color for that particular comment of 304 00:16:20,640 --> 00:16:23,200 Speaker 1: the G seven finance officials. They had a conference call 305 00:16:23,320 --> 00:16:26,240 Speaker 1: led by US Treasury Secretary Stephen Manuition as well as 306 00:16:26,280 --> 00:16:29,000 Speaker 1: FED share Powell prior to this FET announcement, so there 307 00:16:29,000 --> 00:16:31,960 Speaker 1: seems to be coordination. And the markets reacted positively to 308 00:16:32,080 --> 00:16:37,320 Speaker 1: that G seven call. Do they not? Well? Market they 309 00:16:37,320 --> 00:16:41,160 Speaker 1: were they were pretty lukewarm. I think, uh, they were 310 00:16:41,160 --> 00:16:44,000 Speaker 1: happy they had the meeting. They're happy they're talking. I 311 00:16:44,040 --> 00:16:46,600 Speaker 1: think they were lukewarm to the to the press release 312 00:16:46,920 --> 00:16:48,760 Speaker 1: of true yeah, okay, but they were happy that they 313 00:16:48,760 --> 00:16:51,080 Speaker 1: were talking. All right, Well, listen, is anything else that 314 00:16:51,080 --> 00:16:52,400 Speaker 1: we should know before I let you go? You've been 315 00:16:52,480 --> 00:16:54,560 Speaker 1: so generous with your time, But just final thoughts in 316 00:16:54,600 --> 00:16:57,640 Speaker 1: like thirty seconds that we have is that Christine Barrata 317 00:16:57,640 --> 00:17:01,040 Speaker 1: puts on the ultra music. Sure, I don't think this 318 00:17:01,120 --> 00:17:02,920 Speaker 1: is the last rate cut that the Fed will give 319 00:17:03,040 --> 00:17:06,160 Speaker 1: us UM, but we're getting closer to zero, and it'll 320 00:17:06,160 --> 00:17:08,159 Speaker 1: be interesting to see as we get very close to 321 00:17:08,800 --> 00:17:12,280 Speaker 1: closer to zero. David Burston, Chief Economists at Nationwide, Thank 322 00:17:12,280 --> 00:17:14,919 Speaker 1: you so much, my friend, for your time. Coming up 323 00:17:14,960 --> 00:17:17,879 Speaker 1: much more policy and politics on Super Tuesday. And Kevin Sirelli, 324 00:17:17,880 --> 00:17:28,560 Speaker 1: you're listening to Bloomberg. This is Bloomberg Sound On with 325 00:17:28,640 --> 00:17:33,080 Speaker 1: Kevin Surrele on Bloomberg and one all five point seven 326 00:17:33,160 --> 00:17:36,160 Speaker 1: f M h D two. They were generous. They answered 327 00:17:36,560 --> 00:17:39,520 Speaker 1: a lot of questions forty five minutes of straight Q 328 00:17:39,720 --> 00:17:42,800 Speaker 1: and a UM, and so that was very good of them. 329 00:17:42,840 --> 00:17:45,320 Speaker 1: The problem is they didn't have as many answers as 330 00:17:45,359 --> 00:17:48,040 Speaker 1: we needed. They didn't have the answers we needed. That 331 00:17:48,320 --> 00:17:52,879 Speaker 1: was Senate Minority Leader Chuck Schumer talking about his meeting 332 00:17:53,040 --> 00:17:57,480 Speaker 1: earlier today that included officials from the Center for Disease Control, 333 00:17:57,560 --> 00:18:00,520 Speaker 1: the f d A, and Health and Human Servants Services. 334 00:18:01,000 --> 00:18:03,320 Speaker 1: Uh So, he says he wasn't satisfied. I'm Kevin's really 335 00:18:03,400 --> 00:18:08,080 Speaker 1: chief Washington correspondent from Bloomberg Television and Bloomberg Radio. Luis 336 00:18:08,119 --> 00:18:11,879 Speaker 1: Skiavoni is here, as is James Homan to all stars. 337 00:18:11,880 --> 00:18:13,720 Speaker 1: Thanks guys for hanging out on Super Tuesday with me. 338 00:18:13,880 --> 00:18:17,280 Speaker 1: Thanks Kevin, Happy Super Tuesday. Are you are you doing anything, 339 00:18:17,320 --> 00:18:22,119 Speaker 1: Louise to to prepare for this coronavirus question? Or are 340 00:18:22,119 --> 00:18:24,800 Speaker 1: you just stacking up your Netflix queue with Love Is 341 00:18:24,840 --> 00:18:26,760 Speaker 1: Blind episodes which I'm hooked on about. This is a 342 00:18:26,800 --> 00:18:28,760 Speaker 1: good question because I was just thinking, I have to 343 00:18:28,760 --> 00:18:31,480 Speaker 1: make sure I have enough dog food, you know, being 344 00:18:31,520 --> 00:18:38,560 Speaker 1: an Italian American boxes of pasta in the basement. Get this, okay, 345 00:18:38,640 --> 00:18:41,160 Speaker 1: So get this. I went to Delco this past weekend 346 00:18:41,440 --> 00:18:43,399 Speaker 1: and I know I'm gonna come back to politics on 347 00:18:43,440 --> 00:18:46,480 Speaker 1: Super Tuesday. And my mom's best friend, one of my 348 00:18:46,520 --> 00:18:48,800 Speaker 1: mom's best friends, Mrs Anderson, sent me back with two 349 00:18:48,800 --> 00:18:51,800 Speaker 1: homemade Stromboli. So my freezer stacked with a STRUMBULLI. I've 350 00:18:51,800 --> 00:18:57,040 Speaker 1: already eaten one and one third of the strumbully. No, 351 00:18:57,240 --> 00:19:00,240 Speaker 1: they were like they were legit. The there like this big, 352 00:19:00,920 --> 00:19:07,240 Speaker 1: can't see they're about three ft long. I'm not German. 353 00:19:07,560 --> 00:19:09,920 Speaker 1: Do you don't have shrumbullies? We don't our food isn't 354 00:19:09,920 --> 00:19:13,040 Speaker 1: as good. What are you doing for coronavirus? I'm not preparing, 355 00:19:13,080 --> 00:19:15,560 Speaker 1: I hate to admit, and they're gonna end up playing 356 00:19:15,600 --> 00:19:18,160 Speaker 1: this clip when I have coronavirus, but that I am not. 357 00:19:18,320 --> 00:19:22,320 Speaker 1: I have not actively prepared. I'm not being responsible. I've 358 00:19:22,320 --> 00:19:26,359 Speaker 1: been using more purel Okay, okay. What is Elizabeth Warren 359 00:19:26,440 --> 00:19:30,760 Speaker 1: doing to prepare for Super Tuesday? That's a pivot. So she, 360 00:19:32,880 --> 00:19:35,480 Speaker 1: you know, Elizabeth Warren. It's interesting she her campaign is 361 00:19:35,480 --> 00:19:37,920 Speaker 1: making a huge deal about how she's planning for now 362 00:19:37,960 --> 00:19:40,080 Speaker 1: to stay in un tell the convention that she thinks 363 00:19:40,080 --> 00:19:43,400 Speaker 1: she can rack up delegates today in kind of suburban 364 00:19:43,440 --> 00:19:47,240 Speaker 1: areas like Denver, uh and her home state of Massachusetts 365 00:19:47,280 --> 00:19:49,800 Speaker 1: obviously sort of a must win for her. She was 366 00:19:49,840 --> 00:19:53,600 Speaker 1: there this morning, voted in Cambridge, kind of had a 367 00:19:53,680 --> 00:19:57,719 Speaker 1: nice homecoming moment. But it is the path becomes very 368 00:19:57,760 --> 00:20:01,919 Speaker 1: difficult for her if Biden does well. She's gonna come 369 00:20:01,960 --> 00:20:03,600 Speaker 1: under a lot of pressure from the Sanders wing of 370 00:20:03,600 --> 00:20:05,960 Speaker 1: the party already is uh to drop out. She's going 371 00:20:06,000 --> 00:20:09,359 Speaker 1: to resist that. Uh. You know, Warren is interesting because 372 00:20:10,119 --> 00:20:13,280 Speaker 1: she's not she's she doesn't, she's not. It's not kind 373 00:20:13,280 --> 00:20:17,000 Speaker 1: of an obvious not all of her supporters would go 374 00:20:17,040 --> 00:20:19,280 Speaker 1: to Bernie Sanders if she wasn't in the race. She 375 00:20:19,280 --> 00:20:22,280 Speaker 1: appeals to kind of college educated women, a lot of Warren. 376 00:20:22,320 --> 00:20:24,240 Speaker 1: I went to a Warren rally this weekend in Houston. 377 00:20:24,520 --> 00:20:27,000 Speaker 1: You know, a lot of people who want to vote 378 00:20:27,000 --> 00:20:30,080 Speaker 1: for a woman. Uh, I mean now that he's out 379 00:20:30,119 --> 00:20:33,360 Speaker 1: of the race, but a lot of them wanted supporters. Yeah, 380 00:20:33,440 --> 00:20:37,280 Speaker 1: there were the college educated, uh, you know, upper middle 381 00:20:37,280 --> 00:20:40,400 Speaker 1: class uh, you know, and Warren has has really struggled. 382 00:20:40,400 --> 00:20:43,239 Speaker 1: She it's weird because she has a populist message and 383 00:20:43,320 --> 00:20:45,639 Speaker 1: you know, there's a lot of pitchfork in her stump speech, 384 00:20:45,920 --> 00:20:49,240 Speaker 1: but her base is very much not a populist basse, 385 00:20:49,920 --> 00:20:51,800 Speaker 1: the way that Bernie Sanders is in terms of you know, 386 00:20:51,880 --> 00:20:54,080 Speaker 1: they'll chant two cents and they like the wealth tax, 387 00:20:54,440 --> 00:20:56,520 Speaker 1: but they're not you know, they're not looking for a 388 00:20:56,560 --> 00:20:59,440 Speaker 1: political revolution. In large part, they want big structural change. 389 00:20:59,480 --> 00:21:02,200 Speaker 1: But I I see a distinction between the two. Her 390 00:21:02,200 --> 00:21:06,560 Speaker 1: political infrastructure, the people who are who have organized her campaign, 391 00:21:06,880 --> 00:21:09,320 Speaker 1: they are not like the Sanders people. They're more like 392 00:21:09,400 --> 00:21:13,320 Speaker 1: the Biden people. They're very very establishment Democratic Party people. 393 00:21:13,920 --> 00:21:17,359 Speaker 1: And so when you think of the potential for Warren, like, 394 00:21:17,400 --> 00:21:21,120 Speaker 1: if she were to you know, folder pretent, Well, where 395 00:21:21,119 --> 00:21:24,720 Speaker 1: would those votes go? Would she endorse Sanders or would 396 00:21:24,720 --> 00:21:28,080 Speaker 1: her people go more to Biden? I mean, of the 397 00:21:28,160 --> 00:21:31,800 Speaker 1: people that I know who are actually operatives in her campaign, 398 00:21:32,040 --> 00:21:34,040 Speaker 1: I don't see them going to Sanders. I see them 399 00:21:34,040 --> 00:21:37,440 Speaker 1: more going to Biden. Right, I think that's right really well, 400 00:21:37,520 --> 00:21:39,760 Speaker 1: and also but we should say that they She could 401 00:21:39,800 --> 00:21:42,400 Speaker 1: also be hy She could be a force. I think 402 00:21:42,440 --> 00:21:44,960 Speaker 1: she you know, when you talk to her, she could. 403 00:21:45,040 --> 00:21:47,680 Speaker 1: She she thinks that she can if she sticks around, 404 00:21:47,760 --> 00:21:49,760 Speaker 1: that she still has an organization, that she still has 405 00:21:49,880 --> 00:21:52,480 Speaker 1: enough money. Even though she hasn't won a single delegate 406 00:21:52,520 --> 00:21:55,399 Speaker 1: since the Iowa caucuses, She's actually raised a lot of 407 00:21:55,400 --> 00:21:58,159 Speaker 1: money which will allow her to stick around if she 408 00:21:58,240 --> 00:22:01,840 Speaker 1: wants to accruing some delegates, maybe getting some concessions, especially 409 00:22:01,840 --> 00:22:05,200 Speaker 1: if none of the candidates are going to gets required 410 00:22:05,240 --> 00:22:08,600 Speaker 1: to clench the nomination and and maybe be someone who 411 00:22:08,600 --> 00:22:11,760 Speaker 1: could be a kingmaker or a VP. Well. I thought 412 00:22:11,760 --> 00:22:15,240 Speaker 1: it was fascinating to see the reception that Biden gave 413 00:22:15,359 --> 00:22:18,680 Speaker 1: to Clobachar and not to Buddha Jedge And I look 414 00:22:18,720 --> 00:22:22,280 Speaker 1: at it as maybe that's a signal, Hey, Senator Warren. 415 00:22:22,640 --> 00:22:25,040 Speaker 1: We've got Senator Clobar who could also make a strong 416 00:22:25,160 --> 00:22:27,520 Speaker 1: VP pick two. Do you know what I mean? Leverage? 417 00:22:27,560 --> 00:22:30,359 Speaker 1: It's always good to have leverage. Yeah. I think that 418 00:22:30,480 --> 00:22:34,239 Speaker 1: the Biden message is definitely the water's warm, come on in, 419 00:22:34,480 --> 00:22:37,320 Speaker 1: you know, and welcoming everyone. But also we don't need 420 00:22:37,359 --> 00:22:39,320 Speaker 1: you as a VP. We have Cloba now. Well, I 421 00:22:39,359 --> 00:22:45,760 Speaker 1: don't know if I agree with that Italian I mean, 422 00:22:46,520 --> 00:22:50,320 Speaker 1: I mean, I think that the ego equation is very 423 00:22:50,400 --> 00:22:55,000 Speaker 1: different with Biden, Buddha, Jedge and Biden and Clobacher. I 424 00:22:55,040 --> 00:22:58,040 Speaker 1: think he feels more comfortable with Clobbajar. I think she's 425 00:22:58,440 --> 00:23:02,400 Speaker 1: in general warmer person. I think she was. I think 426 00:23:02,520 --> 00:23:06,679 Speaker 1: she was more warm to the idea of of collapsing, 427 00:23:06,880 --> 00:23:10,600 Speaker 1: of collapsing her campaign to throw her support to Biden 428 00:23:10,600 --> 00:23:13,679 Speaker 1: and Buddha. Judge. He wasn't so keen on doing it. 429 00:23:13,760 --> 00:23:15,480 Speaker 1: He did it because he had to do it. There's 430 00:23:15,480 --> 00:23:18,159 Speaker 1: a lot of bad history between Warren and Biden. We 431 00:23:18,200 --> 00:23:20,240 Speaker 1: sort of, you know, last year when Warren was sort 432 00:23:20,240 --> 00:23:22,159 Speaker 1: of the front runner, we talked a lot more about it. 433 00:23:22,200 --> 00:23:25,480 Speaker 1: But Warren was just reaming Biden in the nineties and 434 00:23:25,480 --> 00:23:28,320 Speaker 1: early two thousand's over the bankruptcy bill, the you know, 435 00:23:28,440 --> 00:23:32,200 Speaker 1: being the senator from MBNA representing the credit card industry. 436 00:23:32,560 --> 00:23:35,639 Speaker 1: And when Warren was in the Obama administration, Warren and 437 00:23:35,640 --> 00:23:40,239 Speaker 1: Biden clashed constantly over the formation of the CFPB and 438 00:23:40,320 --> 00:23:43,600 Speaker 1: other things. And you know, Warren, I think ses Biden 439 00:23:43,720 --> 00:23:47,960 Speaker 1: is as not an ally on the big issues that 440 00:23:48,040 --> 00:23:50,960 Speaker 1: she cares most about as I do. You know, I 441 00:23:51,000 --> 00:23:53,600 Speaker 1: think Klobuchar and Biden are much more simpatico on a 442 00:23:53,600 --> 00:23:56,800 Speaker 1: lot of I hear you on that, and I'm thinking 443 00:23:56,800 --> 00:23:59,040 Speaker 1: out loud again maybe I should I want to be. 444 00:23:59,200 --> 00:24:03,720 Speaker 1: But I also think if you're Senator Elizabeth Warren and 445 00:24:03,880 --> 00:24:07,800 Speaker 1: you and you believe that Biden is likely to be 446 00:24:07,880 --> 00:24:12,120 Speaker 1: the nominee, you have leverage right now. Well, but and 447 00:24:12,119 --> 00:24:14,919 Speaker 1: and they have done They've done this dance, and so 448 00:24:14,960 --> 00:24:17,080 Speaker 1: they know how to do this political dance over the 449 00:24:17,119 --> 00:24:22,440 Speaker 1: CFPB for an example. And I'm wondering if Warren World 450 00:24:22,520 --> 00:24:24,679 Speaker 1: is thinking she could be more of a force in 451 00:24:24,720 --> 00:24:28,320 Speaker 1: the party if she backs Biden versus backing Sanders. Do 452 00:24:28,359 --> 00:24:29,520 Speaker 1: you know what I'm trying to get out? And I 453 00:24:29,520 --> 00:24:32,879 Speaker 1: would be shocked if she backed Sanders. I would be 454 00:24:32,920 --> 00:24:34,720 Speaker 1: you know, like I would be I would be. I 455 00:24:34,720 --> 00:24:37,960 Speaker 1: would be very surprised if she said I'm getting behind 456 00:24:38,040 --> 00:24:40,639 Speaker 1: Bernie Sanders. Yeah, And I think that's really an interesting 457 00:24:41,440 --> 00:24:44,040 Speaker 1: even though they're aligned. I think that's also interesting. And 458 00:24:44,200 --> 00:24:47,440 Speaker 1: when you get to Sanders, let's let's say, for instance, 459 00:24:47,720 --> 00:24:50,680 Speaker 1: let's say he did become the Democratic nominee. I mean, 460 00:24:50,720 --> 00:24:55,240 Speaker 1: who would be his running mate? Who? Well, it's interesting 461 00:24:55,280 --> 00:24:57,639 Speaker 1: because he gave so Bernie gave an interview to the 462 00:24:57,640 --> 00:25:01,639 Speaker 1: San Francisco Chronicle yesterday and he said, I will only 463 00:25:01,680 --> 00:25:03,600 Speaker 1: pick as my running mate someone who's all in on 464 00:25:03,680 --> 00:25:06,639 Speaker 1: Medicare for all, which you know, you can always change that, 465 00:25:06,640 --> 00:25:08,920 Speaker 1: you can always back off. But I think what Sanders 466 00:25:09,000 --> 00:25:11,200 Speaker 1: has signaled is that he's not extending on olive branch. 467 00:25:11,240 --> 00:25:13,359 Speaker 1: You know that he's gonna kind of go all in 468 00:25:13,480 --> 00:25:18,960 Speaker 1: and pick some kind of ideas sponsors. You know, she 469 00:25:19,040 --> 00:25:21,080 Speaker 1: she supports a public option and they worked together and 470 00:25:21,359 --> 00:25:24,560 Speaker 1: work together, and Paul, you know how politics is, he 471 00:25:24,560 --> 00:25:26,760 Speaker 1: could always he could always be kind of pressured to 472 00:25:26,840 --> 00:25:31,080 Speaker 1: take someone from from not his part of the party, 473 00:25:31,440 --> 00:25:35,520 Speaker 1: but Sanders, Julian Castro, I mean, if it came to that, 474 00:25:35,560 --> 00:25:38,359 Speaker 1: if it came to a Sanders, if your partie Sanders, 475 00:25:38,400 --> 00:25:42,440 Speaker 1: you have to have objectively, he's gonna have the same 476 00:25:42,440 --> 00:25:44,200 Speaker 1: way that Biden has to say that he can appeal 477 00:25:44,200 --> 00:25:46,800 Speaker 1: to the far left. He Sanders has to say he 478 00:25:46,840 --> 00:25:48,959 Speaker 1: can unify the party. And I would be stunned if 479 00:25:48,960 --> 00:25:52,080 Speaker 1: he didn't pick a someone, you know, just like Trump 480 00:25:52,119 --> 00:25:54,760 Speaker 1: picked a Pence type of person. I mean Pence, I mean, 481 00:25:55,000 --> 00:25:57,879 Speaker 1: but pick that sort of straight out of central casting. 482 00:25:57,880 --> 00:26:00,440 Speaker 1: As he always said, you would expect that do that, 483 00:26:00,440 --> 00:26:02,480 Speaker 1: but hey, expect you. I'd expected speaking at Trump, here's 484 00:26:02,480 --> 00:26:05,080 Speaker 1: President Trump talking about Super Tuesday. Here it is. Listen. 485 00:26:05,400 --> 00:26:07,520 Speaker 1: I think it's gonna be a very interesting evening of 486 00:26:07,560 --> 00:26:11,000 Speaker 1: television because of the time difference, California time difference. It's 487 00:26:11,000 --> 00:26:13,719 Speaker 1: gonna go a little bit later, and we're accustomed to 488 00:26:13,800 --> 00:26:16,439 Speaker 1: write and I will be watching. Who would I like 489 00:26:16,480 --> 00:26:19,520 Speaker 1: to win? Anybody? I'll take anybody I have to. That's 490 00:26:19,560 --> 00:26:24,320 Speaker 1: the way it's gonna work. That's so Trump, the reality 491 00:26:24,480 --> 00:26:28,320 Speaker 1: show President. It's going to be an interesting night in television, folks. 492 00:26:28,400 --> 00:26:33,919 Speaker 1: Super Tuesday. Wow, that's that's that he I think Trump, 493 00:26:34,280 --> 00:26:36,560 Speaker 1: you know, for him. I do think that the Trump 494 00:26:36,600 --> 00:26:40,119 Speaker 1: folks are worried about Biden's resurgence. Uh and you're seeing 495 00:26:40,200 --> 00:26:42,760 Speaker 1: kind of the Biden scrutiny pick up again. That's why 496 00:26:42,800 --> 00:26:46,120 Speaker 1: you've seen the President sort of defend Sanders and say 497 00:26:46,160 --> 00:26:48,679 Speaker 1: there's a coup against him, trying to pick at the 498 00:26:48,680 --> 00:26:50,800 Speaker 1: scabs in the Democratic Party. He had a rally in 499 00:26:50,920 --> 00:26:53,200 Speaker 1: Charlotte with North Carolina is one of the fourteen states 500 00:26:53,200 --> 00:26:56,680 Speaker 1: that's voting today, and the President literally described himself as 501 00:26:56,680 --> 00:26:59,359 Speaker 1: a troll. He said, I love trolling, you know, because 502 00:26:59,359 --> 00:27:01,400 Speaker 1: he had rallies on the eve of the Iowa caucuses, 503 00:27:01,560 --> 00:27:04,680 Speaker 1: the New Hampshire primary, the Nevada caucuses in Las Vegas, 504 00:27:05,000 --> 00:27:07,560 Speaker 1: and uh and then he in Charleston last Friday before 505 00:27:07,560 --> 00:27:09,879 Speaker 1: the South Carolina primary. So I feel like Trump is 506 00:27:10,280 --> 00:27:13,160 Speaker 1: enjoying playing in their primary. Alright, yes or no? Because 507 00:27:13,160 --> 00:27:16,439 Speaker 1: we have fifteen seconds. Are you a troll? Are you 508 00:27:16,480 --> 00:27:19,360 Speaker 1: a troll? I'm not a troll either. No trolls allowed here. 509 00:27:19,880 --> 00:27:22,400 Speaker 1: And you know what is troll. I'm Kevin CERELLI. You're 510 00:27:22,400 --> 00:27:34,200 Speaker 1: listening to Bloomberg ninety nine one. You're listening to Bloomberg 511 00:27:34,320 --> 00:27:38,399 Speaker 1: Sound On with Kevin Surreley on Bloomberg and one oh 512 00:27:38,480 --> 00:27:41,879 Speaker 1: five point seven F M h D two. Power to 513 00:27:42,040 --> 00:27:46,000 Speaker 1: the People. I'm Kevin Cerelli, Chief Washington correspondent from Bloomberg 514 00:27:46,040 --> 00:27:49,680 Speaker 1: Television and Radio. Power to the People. James helmonts here 515 00:27:49,680 --> 00:27:52,320 Speaker 1: from the Washington Post. Luis ky of Ony is here, 516 00:27:52,400 --> 00:27:55,040 Speaker 1: Power to the People. Who sang at Louise Geeh? I 517 00:27:55,040 --> 00:28:00,800 Speaker 1: don't know who did sing that, John Lennon, come on, 518 00:28:02,000 --> 00:28:05,639 Speaker 1: that's Bernie Sanders campaign songs. How groovy you are kidding? 519 00:28:06,520 --> 00:28:08,879 Speaker 1: I mean, come on, power of the People. I mean 520 00:28:09,680 --> 00:28:12,920 Speaker 1: that's an iconic song. You know who's saying you can't 521 00:28:12,920 --> 00:28:16,080 Speaker 1: always get what you want? The Trump song? Who's saying that? Yeah? 522 00:28:16,400 --> 00:28:20,199 Speaker 1: The Rolling Stone? All right, well you do that one? Yeah? Um, 523 00:28:20,320 --> 00:28:23,120 Speaker 1: what was I gonna say? We were talking earlier about 524 00:28:23,160 --> 00:28:24,960 Speaker 1: Love is Blind on Netflix? Do you know what's coming 525 00:28:25,000 --> 00:28:28,399 Speaker 1: out on Hulu this week? The four part Hillary Clinton? 526 00:28:28,480 --> 00:28:33,239 Speaker 1: So well? And it made me think. Christine Baratta, our 527 00:28:33,280 --> 00:28:35,800 Speaker 1: executive producer, told me in the break that that that 528 00:28:35,920 --> 00:28:39,800 Speaker 1: Hillary Clinton was on Good Morning America earlier today promoting 529 00:28:39,840 --> 00:28:42,640 Speaker 1: this and I guess she's promoting it by by talking 530 00:28:42,680 --> 00:28:45,960 Speaker 1: smack on Senator Bernie Sanders. And that was the point 531 00:28:45,960 --> 00:28:48,960 Speaker 1: that you were making about electability. James. I want to 532 00:28:49,000 --> 00:28:51,480 Speaker 1: play it because it's you know, let's let's listen to it. 533 00:28:51,520 --> 00:28:55,040 Speaker 1: Here's here's former Democratic presidential nominee Hillary Clinton. Here she is. 534 00:28:55,280 --> 00:28:57,640 Speaker 1: Bernie Sanders said that if he makes it to the 535 00:28:57,960 --> 00:29:01,040 Speaker 1: convention with the most pledged against, that he should be 536 00:29:01,240 --> 00:29:03,400 Speaker 1: the nominee. That's quite a bit of a change in 537 00:29:03,640 --> 00:29:07,200 Speaker 1: stance from two thousand sixteen. Your reaction, My reaction is, 538 00:29:07,280 --> 00:29:10,000 Speaker 1: let's follow the rules. We've got rules. We had rules 539 00:29:10,080 --> 00:29:12,760 Speaker 1: last time, and we have rules this time. And I 540 00:29:12,800 --> 00:29:14,959 Speaker 1: think it's always a good idea to follow the rules. 541 00:29:15,000 --> 00:29:16,880 Speaker 1: Everybody knew what they were when you got into it 542 00:29:17,160 --> 00:29:19,440 Speaker 1: in the campaign. In the documentary, you talk about his 543 00:29:19,480 --> 00:29:21,920 Speaker 1: campaign from two thousand sixteen and you call it, quote 544 00:29:22,160 --> 00:29:24,240 Speaker 1: just bologning, and I feel so bad that people got 545 00:29:24,240 --> 00:29:27,080 Speaker 1: sucked into it. Do you still feel that way now? Sure? Yeah, 546 00:29:27,160 --> 00:29:30,200 Speaker 1: I mean you know that that was my authentic opinion. 547 00:29:30,240 --> 00:29:35,800 Speaker 1: Then it's my authentic opinion. Now, it's always bad when 548 00:29:35,840 --> 00:29:37,600 Speaker 1: you have to assure people that it's something that's an 549 00:29:37,680 --> 00:29:41,920 Speaker 1: authentic opinion. I'm not lying. I'm just gonna let you 550 00:29:42,000 --> 00:29:44,280 Speaker 1: to keep talking. You know that, you know that I'm 551 00:29:44,480 --> 00:29:48,440 Speaker 1: I'm interested to watch the documentary and your sorry, I 552 00:29:48,560 --> 00:29:52,680 Speaker 1: just politics there. Um, you know I think that She's 553 00:29:52,680 --> 00:29:57,960 Speaker 1: also launching her own podcast soon. She should she should, 554 00:29:58,080 --> 00:30:02,680 Speaker 1: uh the I think that the Clinton win. You know, 555 00:30:02,720 --> 00:30:05,520 Speaker 1: it's it's funny because you hear the rules thing, and 556 00:30:05,520 --> 00:30:07,240 Speaker 1: I think you're gonna hear it a lot more after today, 557 00:30:07,280 --> 00:30:09,720 Speaker 1: depending on the outcome and some of these Super Tuesday contests. 558 00:30:09,840 --> 00:30:12,280 Speaker 1: She's floating this narrative that other folks are going to 559 00:30:12,320 --> 00:30:18,000 Speaker 1: spend and Sanders changed the rules after sixteen. He demanded 560 00:30:18,000 --> 00:30:20,560 Speaker 1: that the rules be changed to make the process fairer. 561 00:30:20,760 --> 00:30:24,200 Speaker 1: But some of those changes now don't work to his benefit. 562 00:30:24,360 --> 00:30:26,720 Speaker 1: And it's because, you know, the way everything is sort 563 00:30:26,720 --> 00:30:28,560 Speaker 1: of shaking out, and so that's why you hear someone 564 00:30:28,600 --> 00:30:30,800 Speaker 1: like Hillary Clinton or Joe Biden say the rules are 565 00:30:30,800 --> 00:30:32,560 Speaker 1: the rules. If you don't if you don't like the rules, 566 00:30:32,640 --> 00:30:35,960 Speaker 1: you know, don't play. Yeah. There was that town hall 567 00:30:36,000 --> 00:30:38,880 Speaker 1: where Elizabeth Warren was asked by a Sanders supporter, well 568 00:30:38,920 --> 00:30:40,760 Speaker 1: what about that, and she said, well, I don't know. 569 00:30:40,840 --> 00:30:42,960 Speaker 1: Those are the rules. Those are the rules that Sanders wanted. 570 00:30:43,040 --> 00:30:45,320 Speaker 1: So I guess those are the rules. But don't you 571 00:30:45,360 --> 00:30:48,720 Speaker 1: think there's a very strong potential for a broken conversion? Yeah? Absolutely, 572 00:30:48,720 --> 00:30:50,480 Speaker 1: and we'll see tonight. You know, I think that at 573 00:30:50,520 --> 00:30:53,320 Speaker 1: this at this stage, before we get the results from 574 00:30:53,320 --> 00:30:56,600 Speaker 1: fourteen states, I think that that is the most likely outcome, 575 00:30:56,760 --> 00:30:59,000 Speaker 1: you know, not I you know, but I um, I 576 00:30:59,040 --> 00:31:01,840 Speaker 1: think if Biden has an unexpectedly strong night, or if 577 00:31:01,840 --> 00:31:04,800 Speaker 1: Sanders has an unexpectedly strong night, it could change the 578 00:31:04,840 --> 00:31:07,400 Speaker 1: calculus and there will be a lot of you know, 579 00:31:07,520 --> 00:31:10,239 Speaker 1: pressure from both wings of the party. But I do 580 00:31:10,320 --> 00:31:13,200 Speaker 1: think that the more likely scenario right now, at this 581 00:31:13,240 --> 00:31:16,160 Speaker 1: hour is is a contested convention. You know. And it's 582 00:31:16,160 --> 00:31:18,200 Speaker 1: funny because we say this every four years. We've been 583 00:31:18,200 --> 00:31:20,280 Speaker 1: through this before, right, I mean every four years, like, oh, 584 00:31:21,360 --> 00:31:23,680 Speaker 1: we thought, maybe the real contested convention, and then you 585 00:31:23,720 --> 00:31:25,560 Speaker 1: sort of do get momentum. I mean you even look 586 00:31:25,720 --> 00:31:28,640 Speaker 1: compare the conversation last Friday to the conversation today about 587 00:31:28,720 --> 00:31:32,200 Speaker 1: Joe Biden, and it's a reflection of how fast these 588 00:31:32,640 --> 00:31:35,800 Speaker 1: things can change. Narratives can get locked in, and that's why, 589 00:31:35,920 --> 00:31:37,640 Speaker 1: like all of a sudden, you could just have a 590 00:31:37,640 --> 00:31:40,040 Speaker 1: freight train of momentum coming up in some of these 591 00:31:40,040 --> 00:31:47,040 Speaker 1: big stage James James James. But you can't deny voter tally's, 592 00:31:47,680 --> 00:31:50,680 Speaker 1: you can't deny turnout. What are you hearing about turnout 593 00:31:51,040 --> 00:31:55,360 Speaker 1: in terms of Democrats, and who has the most not momentum, 594 00:31:55,400 --> 00:31:58,080 Speaker 1: because that we're what is that subjective? Who is actually 595 00:31:58,520 --> 00:32:01,040 Speaker 1: bringing in the new types of voters? Who is actually 596 00:32:01,080 --> 00:32:03,720 Speaker 1: bringing in the energy? Is it Joe Biden or is 597 00:32:03,760 --> 00:32:07,760 Speaker 1: it Bernie Sanders? And that's well, the short answers, it's 598 00:32:07,760 --> 00:32:11,560 Speaker 1: Bernie Sanders. But the long answer is that Sanders hasn't 599 00:32:11,680 --> 00:32:14,440 Speaker 1: delivered kind of what he's promised so far. His whole 600 00:32:14,480 --> 00:32:17,360 Speaker 1: theory of the cases I'm going to change the electorate, 601 00:32:17,360 --> 00:32:19,680 Speaker 1: I'm gonna just bring in all these people into politics 602 00:32:19,680 --> 00:32:22,480 Speaker 1: have never voted before the way in some cases Trump 603 00:32:22,480 --> 00:32:26,120 Speaker 1: actually did in in the industrial Midwest and in the 604 00:32:26,160 --> 00:32:29,840 Speaker 1: first four states, with the exception of Nevada, where you 605 00:32:29,880 --> 00:32:33,000 Speaker 1: could argue that Sanders brought in Latino young Latinos who 606 00:32:33,000 --> 00:32:36,440 Speaker 1: hadn't voted. Sanders didn't do that in Iowa or even 607 00:32:36,520 --> 00:32:39,120 Speaker 1: New Hampshire. His vote totals are lower than they were 608 00:32:39,160 --> 00:32:43,760 Speaker 1: in so that does He absolutely is the energetic candidate 609 00:32:43,840 --> 00:32:46,560 Speaker 1: who brings in young people in a way that Biden 610 00:32:46,600 --> 00:32:50,880 Speaker 1: certainly doesn't. But he's not doing what he sort of 611 00:32:50,920 --> 00:32:53,720 Speaker 1: promises he'd be able to do in November, which indicates 612 00:32:53,760 --> 00:32:55,240 Speaker 1: that he wouldn't be able to do it. But I 613 00:32:55,240 --> 00:32:57,240 Speaker 1: always said, I mean this is what this is where 614 00:32:57,280 --> 00:33:00,240 Speaker 1: I want to turn conventional wisdom on its head and say, 615 00:33:00,280 --> 00:33:03,680 Speaker 1: we'll put apply that same standard to Biden, which is 616 00:33:04,240 --> 00:33:06,520 Speaker 1: Biden said that he'd be able to unify the party. Well, 617 00:33:06,520 --> 00:33:08,400 Speaker 1: he hasn't been able to do that yet. Well he 618 00:33:08,440 --> 00:33:12,600 Speaker 1: has been able to I'm not defending Joe Biden has 619 00:33:12,640 --> 00:33:15,160 Speaker 1: been able to motivate African Americans. He did, you know, 620 00:33:15,200 --> 00:33:19,880 Speaker 1: he he gotten Carolina. But Sanders also has been able 621 00:33:19,920 --> 00:33:22,760 Speaker 1: to rally the base. And they're both doing what they 622 00:33:22,760 --> 00:33:24,280 Speaker 1: said they were going to do. And I just don't 623 00:33:24,320 --> 00:33:27,640 Speaker 1: buy this question. Is like, when you talk about Sanders, 624 00:33:27,680 --> 00:33:31,120 Speaker 1: you know, um unifying the party, I mean, what party 625 00:33:31,160 --> 00:33:33,880 Speaker 1: are you talking about? I mean, he's not really even 626 00:33:34,160 --> 00:33:41,360 Speaker 1: buttic a time out, time out though. But the Sanders world, 627 00:33:41,440 --> 00:33:43,680 Speaker 1: folks that I talked to, the Nina Turners of the world, 628 00:33:43,720 --> 00:33:47,200 Speaker 1: would say, well, what party is Joe Biden trying to unify? 629 00:33:47,360 --> 00:33:50,760 Speaker 1: And there's this identity crisis happening on the left right now, 630 00:33:50,800 --> 00:33:52,520 Speaker 1: and we're playing it in real time. And that's why 631 00:33:52,560 --> 00:33:57,560 Speaker 1: I'm not I'm trying to be incredibly cautious because Bernie 632 00:33:57,640 --> 00:34:01,160 Speaker 1: Sanders and Joe Biden are talking about two very different parties. 633 00:34:01,360 --> 00:34:03,959 Speaker 1: Caution is absolutely called for now and then, and that's 634 00:34:04,000 --> 00:34:07,080 Speaker 1: why primaries are great. I'll always talk about primaries. That's 635 00:34:07,080 --> 00:34:12,000 Speaker 1: where the This is how you hash, this is what 636 00:34:12,040 --> 00:34:13,920 Speaker 1: you're about. This is how you you know, this is 637 00:34:13,960 --> 00:34:16,360 Speaker 1: how you solve identity crises. And and we live in it. 638 00:34:16,640 --> 00:34:18,960 Speaker 1: We don't. We're not in a in a parliamentary system. 639 00:34:18,960 --> 00:34:22,200 Speaker 1: We have two big tent parties with lots of people 640 00:34:22,200 --> 00:34:24,640 Speaker 1: who have lots of messy ideas. All right, so quickly, 641 00:34:24,840 --> 00:34:26,520 Speaker 1: what's your quick take and what's on your radar? What 642 00:34:26,520 --> 00:34:29,360 Speaker 1: are you gonna be watching for tonight? For Super Tuesday? Luis, 643 00:34:29,400 --> 00:34:32,399 Speaker 1: I'll start with you. Well, I guess that the big 644 00:34:32,440 --> 00:34:34,440 Speaker 1: thing is who's going to take California? Right? They have 645 00:34:34,480 --> 00:34:37,360 Speaker 1: four hundred and fifteen delegates and and you know the 646 00:34:37,360 --> 00:34:39,640 Speaker 1: prediction is that Bernie Sandras is going to be the winner. 647 00:34:40,120 --> 00:34:44,880 Speaker 1: But how strong how strong lee? Will Biden come in second? 648 00:34:45,000 --> 00:34:47,600 Speaker 1: One assumes he'll come instead the margins. Yeah, that's great, 649 00:34:47,640 --> 00:34:49,359 Speaker 1: that's that's smart. All right, Chas, what's on your what's 650 00:34:49,360 --> 00:34:50,839 Speaker 1: your quick take on her? I think early on we're 651 00:34:50,840 --> 00:34:53,960 Speaker 1: gonna have a good sense from Virginia North Carolina. Uh, 652 00:34:54,040 --> 00:34:56,080 Speaker 1: you know that it'll be interesting to look regionally in 653 00:34:56,080 --> 00:34:59,399 Speaker 1: a state like North Carolina. Uh, it does Sanders make 654 00:34:59,440 --> 00:35:02,239 Speaker 1: in rows Uh in you know the research triangle and 655 00:35:02,239 --> 00:35:05,120 Speaker 1: in Charlotte or is that sort of Biden country? And 656 00:35:05,120 --> 00:35:08,080 Speaker 1: also is Biden consolidating the moderate support in the northern 657 00:35:08,120 --> 00:35:11,440 Speaker 1: Virginia suburbs? And in the research we have exit you 658 00:35:11,480 --> 00:35:13,120 Speaker 1: were telling me in the break, Yeah, well, we what 659 00:35:13,239 --> 00:35:16,360 Speaker 1: we know so far is that there is a um 660 00:35:16,400 --> 00:35:19,880 Speaker 1: that we know about issues. Healthcare was the biggest issue. Also, 661 00:35:20,600 --> 00:35:24,920 Speaker 1: the electability was a major concern, especially in the Southern states. Uh, 662 00:35:25,120 --> 00:35:27,120 Speaker 1: you know, people wanting to beat Trump. In the early 663 00:35:27,200 --> 00:35:30,480 Speaker 1: preliminary exit poles, we also asked about socialism and Uh, 664 00:35:30,560 --> 00:35:34,160 Speaker 1: in the Northeast, where Sanders is stronger, socialism is viewed 665 00:35:34,239 --> 00:35:37,240 Speaker 1: much more favorably by Democratic voters. In the southern states 666 00:35:37,239 --> 00:35:41,319 Speaker 1: that voted today viewed quite unfavorably. Uh. And again these 667 00:35:41,320 --> 00:35:45,400 Speaker 1: are preliminary exit poles. The other interesting from yeah, from 668 00:35:45,440 --> 00:35:48,719 Speaker 1: the and the other interesting exit poll finding that's preliminaries. 669 00:35:48,719 --> 00:35:51,680 Speaker 1: In Minnesota, it had more than six and ten voters 670 00:35:51,719 --> 00:35:54,239 Speaker 1: decided in the final days who would vote for and 671 00:35:54,280 --> 00:35:56,600 Speaker 1: that suggests that a lot of people who had planned 672 00:35:56,600 --> 00:35:59,560 Speaker 1: on voting for Amy Klobuchar, are you gonna go with 673 00:35:59,600 --> 00:36:01,400 Speaker 1: someone else? That's much higher than we've seen in the 674 00:36:01,400 --> 00:36:03,839 Speaker 1: other states. All right, here's that's brilliant. Thank you buy 675 00:36:03,880 --> 00:36:05,319 Speaker 1: so much. But here's the quick take on what's all 676 00:36:05,360 --> 00:36:07,880 Speaker 1: my radar? Um, And it's about the Taliban. And I'm 677 00:36:07,920 --> 00:36:10,560 Speaker 1: reading from the terminal. Josh wing Grove excellent reporter, White 678 00:36:10,600 --> 00:36:13,840 Speaker 1: House reporter Josh wing Grove. He reports today President Donald 679 00:36:13,840 --> 00:36:15,880 Speaker 1: Trump spoke by foam with the top leader of the 680 00:36:15,880 --> 00:36:19,360 Speaker 1: Taliban about the recent peace agreement reached and cutter aimed 681 00:36:19,560 --> 00:36:22,759 Speaker 1: at winding down a conflict that has turned into America's 682 00:36:22,960 --> 00:36:26,000 Speaker 1: longest war. Trump, speaking Tuesday as he left the White House, 683 00:36:26,200 --> 00:36:28,799 Speaker 1: called the conversation a very good talk and said the 684 00:36:28,800 --> 00:36:32,160 Speaker 1: two sides reiterated commitments to reduce violence in Afghanistan. We're 685 00:36:32,200 --> 00:36:34,400 Speaker 1: gonna be hearing a lot more about Afghanistan coming up 686 00:36:34,480 --> 00:36:37,000 Speaker 1: in the weeks ahead. I predict it's what's all my radar. 687 00:36:37,040 --> 00:36:40,680 Speaker 1: I'm already hearing about it from some sources. Thank you, Louise. 688 00:36:40,719 --> 00:36:43,840 Speaker 1: Happy Super Tuesday. Where's the sum you usually come with 689 00:36:43,920 --> 00:36:49,680 Speaker 1: food pizza. I want you always give me the pizza 690 00:36:50,120 --> 00:36:53,799 Speaker 1: for good. You're right, actually, man, I'm a joy. Thank you, James. 691 00:36:53,880 --> 00:36:56,360 Speaker 1: I want pizza. It's Super Tuesday, it's election that you 692 00:36:56,440 --> 00:36:57,799 Speaker 1: gotta pizza. That's it for me