1 00:00:00,360 --> 00:00:03,040 Speaker 1: Live 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 00:00:05,559 --> 00:00:08,840 Speaker 1: President Trump not playing his cards yet. Headlines Policy and 4 00:00:09,039 --> 00:00:14,960 Speaker 1: politics colliding Floomberg Sound On, the Insiders, the Influencers, the insides. 5 00:00:15,080 --> 00:00:17,319 Speaker 1: I would rather see a congressional solution. It's part of 6 00:00:17,360 --> 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 --> 00:00:26,720 Speaker 1: smash conventional norms. In a sense, Bernie Sanders has already washed. 9 00:00:26,920 --> 00:00:33,120 Speaker 1: This is Bloomberg Sound On with Kevin Surrel on Bloomberg one, 10 00:00:33,159 --> 00:00:37,479 Speaker 1: Oh fie h D two. Part of the interruption. Former 11 00:00:37,560 --> 00:00:40,080 Speaker 1: forty Niners Team Motor pardoned by President Trump over that 12 00:00:41,280 --> 00:00:45,320 Speaker 1: felony chart and President Trump says he's threatening lawsuits over 13 00:00:45,400 --> 00:00:48,199 Speaker 1: Muller and calls for a new Roger Stone trial. All 14 00:00:48,240 --> 00:00:50,560 Speaker 1: of that plus a full preview of the Las Vegas 15 00:00:50,640 --> 00:00:54,440 Speaker 1: presidential debate scheduled for tomorrow night. There's a new guy 16 00:00:54,480 --> 00:00:56,640 Speaker 1: on the stage, former New York City Mayor Michael Bloomberg. 17 00:00:56,640 --> 00:00:58,280 Speaker 1: We're gonna talk all about it with an all star 18 00:00:58,360 --> 00:01:01,720 Speaker 1: panel Robert Kreamer as well as Saraj hash Mean. He's 19 00:01:01,720 --> 00:01:05,240 Speaker 1: got a new book out called Red Alert Politics. Uh 20 00:01:05,280 --> 00:01:08,200 Speaker 1: and he's previously written for The Washington Examiner. That is 21 00:01:08,240 --> 00:01:09,720 Speaker 1: not the name of his book. It's called The Populous 22 00:01:09,760 --> 00:01:12,800 Speaker 1: Guide to Election Lots you get through. We have two 23 00:01:12,880 --> 00:01:16,280 Speaker 1: all stars. Saraj Hashman's back on the program. He is 24 00:01:16,800 --> 00:01:19,400 Speaker 1: uh the He is a commentary and video editor and 25 00:01:19,400 --> 00:01:22,759 Speaker 1: writer for The Washington Examiner. He previously served as assisting 26 00:01:22,880 --> 00:01:26,160 Speaker 1: editor for Red Alert Politics as well as was an 27 00:01:26,160 --> 00:01:29,360 Speaker 1: associate producer at Sirius XM Radio. We like him so 28 00:01:29,440 --> 00:01:33,520 Speaker 1: much we asked him back. Welcome back, Suraj and Robert 29 00:01:33,560 --> 00:01:37,440 Speaker 1: Kreamer making his debut on the program on Bloomberg Radio 30 00:01:37,520 --> 00:01:40,959 Speaker 1: Sound On. You might know him as an American political consultant, 31 00:01:41,040 --> 00:01:46,280 Speaker 1: community organizer, and author. He also, of course, is the 32 00:01:46,280 --> 00:01:49,440 Speaker 1: founder and partner of the firm Democracy Partners and works 33 00:01:49,440 --> 00:01:54,360 Speaker 1: with Progressive electoral on progressive electoral issue campaigns. Um, and 34 00:01:54,520 --> 00:01:58,240 Speaker 1: your wife just happens to be a very nice congresswoman 35 00:01:58,320 --> 00:02:01,560 Speaker 1: named Jianchikowski. Than you. How's the congress someone doing? She's 36 00:02:01,600 --> 00:02:05,000 Speaker 1: just doing great. So have you endorsed for this election yet? 37 00:02:05,240 --> 00:02:07,720 Speaker 1: Both of us are supporting Elizabeth Warren yet you know, 38 00:02:07,760 --> 00:02:09,720 Speaker 1: I think she's going to make a huge comeback in 39 00:02:09,800 --> 00:02:14,040 Speaker 1: Vegas Caucus, we hope. So we'll all see for sure 40 00:02:14,120 --> 00:02:16,320 Speaker 1: on this weekend. So obviously you know we're going to 41 00:02:16,440 --> 00:02:18,960 Speaker 1: dive right into this. In terms of former New York 42 00:02:19,000 --> 00:02:20,679 Speaker 1: City Mayor Michael Bloomberg is going to be on the 43 00:02:20,720 --> 00:02:24,480 Speaker 1: stage tomorrow night, in case you might not have heard. Um, 44 00:02:24,520 --> 00:02:27,720 Speaker 1: I'm curious what will that do from your perspective for 45 00:02:27,720 --> 00:02:31,120 Speaker 1: the war and campaign as it as as we enter 46 00:02:31,200 --> 00:02:32,840 Speaker 1: into this new phase of the race. Well, I do 47 00:02:32,880 --> 00:02:35,480 Speaker 1: think it gives her an opportunity to distinguish herself in 48 00:02:35,480 --> 00:02:40,280 Speaker 1: a very clear way. At the same time that Bloomberg 49 00:02:40,360 --> 00:02:44,080 Speaker 1: was talking about redlining as regulations, it's one of the 50 00:02:44,120 --> 00:02:47,400 Speaker 1: causes of the Great economic collapse, and she was in 51 00:02:47,440 --> 00:02:51,120 Speaker 1: the process of responding to that and helping to create 52 00:02:51,160 --> 00:02:55,440 Speaker 1: the Consumer Financial Protection Bureau. Um, and um, you know, 53 00:02:55,520 --> 00:02:58,720 Speaker 1: there's a very clear distance there. I'm struck by this 54 00:02:58,760 --> 00:03:01,560 Speaker 1: Sarage because it really it's like everyone on that stage 55 00:03:01,560 --> 00:03:06,040 Speaker 1: tomorrow night, Buiden, Bernie Boodha, Jedge, who am I forgetting more? 56 00:03:06,080 --> 00:03:08,519 Speaker 1: And we talked about more. They all want to want 57 00:03:08,520 --> 00:03:11,480 Speaker 1: to make their want to make a distinction in terms 58 00:03:11,520 --> 00:03:15,200 Speaker 1: of the way that they are different from from Bloomberg. Yeah, 59 00:03:15,240 --> 00:03:18,280 Speaker 1: it's interesting how Bloomberg sort of makes his case that 60 00:03:18,360 --> 00:03:23,519 Speaker 1: he is the antithesis to Donald Trump when he's also 61 00:03:23,560 --> 00:03:27,200 Speaker 1: a billionaire from New York and and Richard than Trump, 62 00:03:27,320 --> 00:03:30,840 Speaker 1: and I've I've hypothesized, you know, he's many of his 63 00:03:30,880 --> 00:03:34,080 Speaker 1: critics have said, this guy is basically so open about 64 00:03:34,120 --> 00:03:36,920 Speaker 1: wanting to buy the Democratic nomination. Trump has sort of 65 00:03:36,960 --> 00:03:41,280 Speaker 1: tweeted this afternoon that, uh, that pretty much that sentiment exactly. 66 00:03:41,920 --> 00:03:44,640 Speaker 1: And it's not like Bloomberg is really shying away from it. 67 00:03:44,640 --> 00:03:47,600 Speaker 1: It's actually kind of interesting. He's sort of embracing that label, 68 00:03:48,040 --> 00:03:52,440 Speaker 1: leaning into it, and he's even targeted like Instagram influencers 69 00:03:52,480 --> 00:03:55,680 Speaker 1: to uh, even if the even if he personally is 70 00:03:55,680 --> 00:03:58,880 Speaker 1: not reaching out to these Instagram influencers, Uh, they're all 71 00:03:58,880 --> 00:04:03,600 Speaker 1: posting screenshots from their direct messages and sort of posting 72 00:04:03,640 --> 00:04:06,200 Speaker 1: it to every like there are hundreds of thousands of 73 00:04:06,240 --> 00:04:09,880 Speaker 1: followers that Bloomberg is just trying to make this notion 74 00:04:09,960 --> 00:04:12,560 Speaker 1: that over the last week or so, there's been this virality. 75 00:04:12,680 --> 00:04:15,920 Speaker 1: Is that a word virality in terms of in terms 76 00:04:15,960 --> 00:04:18,760 Speaker 1: of social media as it relates to the Bloomberg campaign. 77 00:04:18,760 --> 00:04:20,479 Speaker 1: We're gonna talk all about that and of course, just 78 00:04:20,640 --> 00:04:25,719 Speaker 1: as the disclaimer, Michael Bloomberg, who's seeking the Democratic presidential nomination, 79 00:04:25,800 --> 00:04:28,120 Speaker 1: is the founder and majority owner of Bloomberg LP, the 80 00:04:28,200 --> 00:04:32,320 Speaker 1: parent company of Bloomberg Radio. I I it's gonna be 81 00:04:32,440 --> 00:04:37,320 Speaker 1: very interesting to see tomorrow night what happens, all right, Lagoyevich, 82 00:04:38,040 --> 00:04:42,159 Speaker 1: there's a name you thought you weren't gonna be on. 83 00:04:43,240 --> 00:04:45,600 Speaker 1: That's where we lead tonight with the big story. Jordan 84 00:04:45,680 --> 00:04:48,800 Speaker 1: Fabian Josh wyn Grow reading on the terminal. President Donald 85 00:04:48,800 --> 00:04:52,479 Speaker 1: Trump announced a set of clemency's and pardons on Tuesday, 86 00:04:52,560 --> 00:04:58,240 Speaker 1: including former Illinois Governor Rob Legoievich. I can never say 87 00:04:58,279 --> 00:05:00,560 Speaker 1: the guy's vich I have it right, And then I 88 00:05:00,640 --> 00:05:03,080 Speaker 1: like thinking, but I've covered it for a million years, 89 00:05:03,160 --> 00:05:05,520 Speaker 1: it seems and back. And this is why I'm so glad, 90 00:05:05,600 --> 00:05:08,159 Speaker 1: Mr Kreamer that you're here. Because he was convicted of 91 00:05:08,160 --> 00:05:11,720 Speaker 1: public corruption and for finance. Here Michael Milkin who was 92 00:05:11,760 --> 00:05:15,640 Speaker 1: convicted of securities frauds. So Blue and Milkin they got pardoned. 93 00:05:16,080 --> 00:05:19,200 Speaker 1: Go stage is yours. Well, you're gonna be surprised at this. 94 00:05:20,040 --> 00:05:22,160 Speaker 1: I think takes a lot to surprise me. He's little 95 00:05:22,160 --> 00:05:26,320 Speaker 1: by surprising. I think the my uh, this is one 96 00:05:26,320 --> 00:05:29,800 Speaker 1: of the few things he has done pardoning rad Bgievitch. 97 00:05:30,000 --> 00:05:34,400 Speaker 1: I'm talking about Trump that I completely support, I say, partnering. 98 00:05:34,400 --> 00:05:37,400 Speaker 1: He didn't parton. He commuted his sentence. And the reason 99 00:05:37,520 --> 00:05:43,440 Speaker 1: is simple. Uh you know, you know, it was since 100 00:05:43,480 --> 00:05:47,280 Speaker 1: the fourteen years in prison, which is a huge amount 101 00:05:47,320 --> 00:05:51,080 Speaker 1: of time, Longer than Roger Stone, longer than Paul Manafort 102 00:05:51,200 --> 00:05:54,960 Speaker 1: right now, longer than some armed robbers, longer than people 103 00:05:54,960 --> 00:05:58,760 Speaker 1: who do things like rape in some jurisdictions. The point 104 00:05:58,839 --> 00:06:02,400 Speaker 1: is he would exemplary of the fact that our sentences 105 00:06:02,400 --> 00:06:04,800 Speaker 1: in the United States are just too long. In jail, 106 00:06:05,040 --> 00:06:09,120 Speaker 1: we rely far too much on incurceration. The world's prisoners 107 00:06:09,279 --> 00:06:11,240 Speaker 1: are here in the United States with five percent of 108 00:06:11,240 --> 00:06:17,239 Speaker 1: the world's population. And uh uh, Bilgoish was a jerk. 109 00:06:18,160 --> 00:06:20,440 Speaker 1: He never took much money, I mean any money as 110 00:06:20,440 --> 00:06:22,839 Speaker 1: far as I know for the things he did, and 111 00:06:22,960 --> 00:06:26,360 Speaker 1: he really made the judge man. I mean so so 112 00:06:26,480 --> 00:06:29,760 Speaker 1: that I actually have some sympathy for rod is the point. 113 00:06:29,760 --> 00:06:31,320 Speaker 1: And I think he did a good job. I'm going 114 00:06:31,360 --> 00:06:34,839 Speaker 1: to disagree with you on that one. But one of 115 00:06:34,839 --> 00:06:39,280 Speaker 1: the things that you know, if for Trump, of all people, 116 00:06:39,320 --> 00:06:42,680 Speaker 1: who is constantly being barraged with labels of being corrupt. 117 00:06:43,839 --> 00:06:48,080 Speaker 1: Commuting the sentence of a corrupt politician almost looks magnanimous 118 00:06:48,080 --> 00:06:50,800 Speaker 1: in a way, because he's if you're trying to get 119 00:06:50,839 --> 00:06:53,080 Speaker 1: away from that label of being corrupt. Why would you 120 00:06:53,360 --> 00:06:56,360 Speaker 1: commute the sentence of a corrupt politician? You try to 121 00:06:56,400 --> 00:06:59,000 Speaker 1: sell a sentence, see, you try to exploit children's hospital. 122 00:06:59,400 --> 00:07:02,000 Speaker 1: It just is not good in terms of his whole 123 00:07:02,040 --> 00:07:04,760 Speaker 1: ethos of draining the swamp. I don't think it's like 124 00:07:04,920 --> 00:07:07,840 Speaker 1: it's not a good move politically speaking. It doesn't look 125 00:07:07,839 --> 00:07:11,600 Speaker 1: good optically. Even if you disagree with the sentence. I 126 00:07:11,640 --> 00:07:14,040 Speaker 1: think you could have made the case that there are 127 00:07:14,120 --> 00:07:16,360 Speaker 1: many things wrong with this move, then there are better 128 00:07:16,440 --> 00:07:18,880 Speaker 1: for it. But certainly as a political matter, I concur 129 00:07:19,000 --> 00:07:22,880 Speaker 1: with you. Actually, um and uh, you know, I would 130 00:07:22,920 --> 00:07:26,360 Speaker 1: have preferred say that Barack Obama had done the same thing. 131 00:07:26,560 --> 00:07:28,760 Speaker 1: But uh, and and and as you say, he was 132 00:07:28,760 --> 00:07:31,320 Speaker 1: embedded in quite a number of other pardons, many of 133 00:07:31,320 --> 00:07:38,000 Speaker 1: which Michael Milkin really Okay, well, the first was, I mean, 134 00:07:38,040 --> 00:07:40,920 Speaker 1: but Lugoyevitch was on The Celebrity Apprentice. If you would 135 00:07:40,920 --> 00:07:43,200 Speaker 1: have told me and Christine Marata are executive producer, I 136 00:07:43,280 --> 00:07:45,840 Speaker 1: thought Joe Judace would get the he was because Theresa 137 00:07:45,960 --> 00:07:48,480 Speaker 1: was on the I still a waiting for that, you know. 138 00:07:48,520 --> 00:07:51,400 Speaker 1: But I guess because the whole immigration Tobaco but Lugoyevitch 139 00:07:51,480 --> 00:07:53,560 Speaker 1: was conveyed. He's sixty three years old. He was convicted 140 00:07:53,560 --> 00:07:57,080 Speaker 1: in two thousand eleven of seventeen charges for what federal 141 00:07:57,120 --> 00:08:00,760 Speaker 1: prosecutors said was a sweeping corruption plot that included an 142 00:08:00,800 --> 00:08:05,000 Speaker 1: attempt to sell former Barack Obama's former president Barack Obama's 143 00:08:05,080 --> 00:08:08,760 Speaker 1: vacated US Senate seat. I mean selling a Senate seat, 144 00:08:08,920 --> 00:08:12,520 Speaker 1: Mr Kreamer, Might you know, Robert, I am not. I'm 145 00:08:12,560 --> 00:08:16,400 Speaker 1: not arguing that he shouldn't have suffered some consequence. I 146 00:08:16,440 --> 00:08:19,360 Speaker 1: do agree with that. You're just saying that the sentences 147 00:08:19,440 --> 00:08:24,400 Speaker 1: to selling a Senate seat fourteen years a long time. 148 00:08:24,600 --> 00:08:26,920 Speaker 1: I think. I think in terms of if you're trying 149 00:08:26,960 --> 00:08:29,960 Speaker 1: to send a message to the broad American public that 150 00:08:30,040 --> 00:08:33,640 Speaker 1: corruption is bad, it's also sending the message that having 151 00:08:33,679 --> 00:08:36,640 Speaker 1: powerful friends like the President of the United States is 152 00:08:36,840 --> 00:08:39,320 Speaker 1: the only way to bell yourself up. I don't disagree 153 00:08:39,400 --> 00:08:42,400 Speaker 1: with your analysis of all of that, right, I mean, 154 00:08:42,600 --> 00:08:46,000 Speaker 1: my analysis of this subject is entirely routed the fact 155 00:08:46,000 --> 00:08:49,320 Speaker 1: that I thought he personally got too much time. And 156 00:08:49,360 --> 00:08:51,480 Speaker 1: that's all all right. Take a listen to President Trump 157 00:08:51,520 --> 00:08:54,320 Speaker 1: on Mugovit here is so he'll be able to go 158 00:08:54,400 --> 00:08:57,280 Speaker 1: back home with his family after serving eight years in jail. 159 00:08:57,320 --> 00:09:00,880 Speaker 1: That was a tremendously powerful three. Get killis shuttings in 160 00:09:00,960 --> 00:09:03,480 Speaker 1: my opinion. All right, they have it coming up on 161 00:09:03,480 --> 00:09:05,560 Speaker 1: the program. More pardon talking. I feel like I'm mostly 162 00:09:05,559 --> 00:09:08,560 Speaker 1: part of the interruption. I'm Kevin Cerelli, chief Washington corresponder 163 00:09:08,559 --> 00:09:11,280 Speaker 1: from Bloomberg Television of Bloomberg Radio. Robert Kreamer's here, Sir 164 00:09:11,400 --> 00:09:28,600 Speaker 1: rash hash Me stays, you're listening to Bloomberg one. This 165 00:09:28,920 --> 00:09:34,080 Speaker 1: is Bloomberg Sound On with Kevin Shirley on Bloomberg and 166 00:09:34,200 --> 00:09:36,400 Speaker 1: one oh five point seven f M H D two. 167 00:09:36,800 --> 00:09:39,040 Speaker 1: I haven't given it any thought in the meantime. He's 168 00:09:39,040 --> 00:09:41,680 Speaker 1: going through a process, but I think he's been treated 169 00:09:41,760 --> 00:09:46,559 Speaker 1: very unfairly. That was President Trump speaking earlier today about 170 00:09:46,679 --> 00:09:51,520 Speaker 1: Roger Stone and where he feels the Roger Stone case 171 00:09:51,880 --> 00:09:54,880 Speaker 1: story is going. I'm Kevin Cirelli, chief Washington correspondent for 172 00:09:54,880 --> 00:09:58,840 Speaker 1: Bloomberg Television and Bloomberg Radio. Sir rash hash Me's here, 173 00:09:58,920 --> 00:10:02,400 Speaker 1: He's a is a commentary, video editor and writer for 174 00:10:02,440 --> 00:10:05,080 Speaker 1: The Washington Examiner. Did you have a good President's Day? 175 00:10:05,400 --> 00:10:07,719 Speaker 1: I had a wonderful president. Why what made it so great? 176 00:10:07,800 --> 00:10:11,680 Speaker 1: I didn't no work whatsoever? But and the reason why 177 00:10:11,800 --> 00:10:14,280 Speaker 1: it was so good? The last last week for my 178 00:10:14,320 --> 00:10:18,200 Speaker 1: podcast Hashing it Out, started to do I've never been 179 00:10:18,200 --> 00:10:22,600 Speaker 1: asked to me that you want to come as Christine? Okay, 180 00:10:22,640 --> 00:10:25,520 Speaker 1: I'll ask had Devin Nunez on last week? How is 181 00:10:25,559 --> 00:10:28,240 Speaker 1: Al's Mr? Noonez? So Noon Haz. He had a very 182 00:10:28,240 --> 00:10:31,480 Speaker 1: good conversation, talked about his investigations, got to talk, asked 183 00:10:31,520 --> 00:10:35,520 Speaker 1: him about his defamation lawsuits against both CNN and McClatchy. 184 00:10:35,600 --> 00:10:38,480 Speaker 1: McClatchy file for bankruptcy last week, and I also asked 185 00:10:38,559 --> 00:10:42,839 Speaker 1: him about his defamation lawsuits against Twitter and then to 186 00:10:43,440 --> 00:10:47,160 Speaker 1: Twitter accounts Devin Noon as his cow and Devin nun 187 00:10:47,240 --> 00:10:49,160 Speaker 1: as his mom. So I asked him one his reasoning 188 00:10:49,240 --> 00:10:54,480 Speaker 1: was behind it. He had a very lengthy explanation that 189 00:10:54,480 --> 00:10:57,720 Speaker 1: he gave me like a five minute answer. Part of me, 190 00:10:57,960 --> 00:11:01,680 Speaker 1: I mean listen, part to me understands, hey, free country, 191 00:11:01,679 --> 00:11:03,120 Speaker 1: do whatever you want. The other part of me's like 192 00:11:03,120 --> 00:11:07,360 Speaker 1: what are your constituents? Like? What don't. Well, it's interesting 193 00:11:07,400 --> 00:11:11,439 Speaker 1: because his reasoning behind it is that, uh, it wasn't 194 00:11:11,480 --> 00:11:14,120 Speaker 1: just criticism, it was like slandering. He was telling me, 195 00:11:14,400 --> 00:11:16,400 Speaker 1: and this I wish he'd told me on the podcast, 196 00:11:16,400 --> 00:11:17,800 Speaker 1: but he was saying that, you know, some of the 197 00:11:17,840 --> 00:11:21,120 Speaker 1: pieces that they were publishing was basically that he was 198 00:11:21,360 --> 00:11:26,480 Speaker 1: using underage prostitutes to basically solicit sources and information, which 199 00:11:26,520 --> 00:11:29,640 Speaker 1: is crazy, like that is like slanderous libel, like that 200 00:11:29,640 --> 00:11:33,040 Speaker 1: should absolutely if they're not taking it down. He felt 201 00:11:33,040 --> 00:11:34,679 Speaker 1: the need to go to the court, and so that's like, 202 00:11:35,160 --> 00:11:38,120 Speaker 1: you know, that's one of the things that he's been pursuing. 203 00:11:38,280 --> 00:11:41,080 Speaker 1: And so he doesn't even engage with a lot of 204 00:11:41,120 --> 00:11:45,720 Speaker 1: media outlets because he's used them as quote unquote assassins. 205 00:11:46,480 --> 00:11:49,280 Speaker 1: Whether he is Robert Kreamer, everybody just he's a he's 206 00:11:49,280 --> 00:11:52,719 Speaker 1: our democratic strategist, consultant, insider. Go ahead, well, I was 207 00:11:52,720 --> 00:11:54,000 Speaker 1: just gonna say that. The next thing you want to 208 00:11:54,040 --> 00:11:57,120 Speaker 1: ask him is if he is in favor of some 209 00:11:57,200 --> 00:12:02,360 Speaker 1: regulation that requires Facebook to take responsibility when they take 210 00:12:02,440 --> 00:12:05,720 Speaker 1: money from people to put adds up for for their 211 00:12:05,760 --> 00:12:10,120 Speaker 1: factual content like other media, because this is a huge 212 00:12:10,640 --> 00:12:13,560 Speaker 1: opportunity for a guy who was an inveterate liar like 213 00:12:13,640 --> 00:12:17,320 Speaker 1: Donald Trump and his crew to to publish things of 214 00:12:17,400 --> 00:12:21,600 Speaker 1: exactly the short you just described run hundreds of millions 215 00:12:21,640 --> 00:12:25,360 Speaker 1: of dollars of age no consequence. Well, let's rip up 216 00:12:25,360 --> 00:12:28,560 Speaker 1: the script because because uh, I think it was it 217 00:12:28,679 --> 00:12:30,720 Speaker 1: was Tom, it was Francine Laqua who asked me this 218 00:12:31,320 --> 00:12:33,880 Speaker 1: on air this morning on Bloomberg Television, and I thought, 219 00:12:33,880 --> 00:12:36,320 Speaker 1: it's a great question. It's to this point. We just 220 00:12:36,360 --> 00:12:39,040 Speaker 1: had the Iowa Caucus, which was a total debacle because 221 00:12:39,080 --> 00:12:42,400 Speaker 1: of technology the app. Remember the app, the app. We're 222 00:12:42,400 --> 00:12:44,959 Speaker 1: headed to Nevada, there's gonna be a caucus. Are they 223 00:12:44,960 --> 00:12:48,000 Speaker 1: any better prepared than Troy Price? They're gonna be using 224 00:12:48,040 --> 00:12:51,679 Speaker 1: a Google doc and uh. And that's from what I'm hearing, 225 00:12:51,840 --> 00:12:53,960 Speaker 1: is that they're moving away from the app, but like 226 00:12:53,960 --> 00:12:57,120 Speaker 1: they're still relying on technology. Like and one of the 227 00:12:57,160 --> 00:12:59,439 Speaker 1: things that one of the pieces that came out as 228 00:12:59,440 --> 00:13:03,040 Speaker 1: a result of the Iowa caucus debacle is that, uh, 229 00:13:03,160 --> 00:13:09,040 Speaker 1: the generations of individuals who are currently overseeing the caucus 230 00:13:09,120 --> 00:13:12,720 Speaker 1: process are too old to really you know, be savvy 231 00:13:12,800 --> 00:13:17,960 Speaker 1: with Listen as a millennial who worked at a retirement 232 00:13:18,040 --> 00:13:21,040 Speaker 1: community as one of my first jobs back in Delko. 233 00:13:21,400 --> 00:13:26,400 Speaker 1: I am not an agist. I think, well, you sounded 234 00:13:26,440 --> 00:13:28,320 Speaker 1: like one. No, no, I'm saying that's one of that's 235 00:13:28,320 --> 00:13:31,680 Speaker 1: one of the pieces of criticism. That's the pieces of respect. 236 00:13:32,200 --> 00:13:34,240 Speaker 1: Thank you. I appreciate that. That's one of the pieces 237 00:13:34,240 --> 00:13:36,400 Speaker 1: of criticism that came out from the eye with them. Well, 238 00:13:36,480 --> 00:13:40,040 Speaker 1: I mean, I think don't have enough running the eye 239 00:13:40,040 --> 00:13:41,960 Speaker 1: of a caucus. Don't have a Google doc with the 240 00:13:41,960 --> 00:13:44,760 Speaker 1: real bottom line is this. I mean, you know, when 241 00:13:44,800 --> 00:13:49,160 Speaker 1: you have caucuses, the party runs those things, and that 242 00:13:49,200 --> 00:13:52,160 Speaker 1: means every four years there are basically people who are 243 00:13:52,559 --> 00:13:54,280 Speaker 1: new to the game, or even if they're not new, 244 00:13:54,320 --> 00:13:58,920 Speaker 1: that not practiced in the game running elections. Primaries are 245 00:13:59,000 --> 00:14:03,199 Speaker 1: run by professional election authorities, and that's one more reason 246 00:14:03,200 --> 00:14:06,080 Speaker 1: why caucuses in general are a bad idea. I think 247 00:14:06,080 --> 00:14:08,120 Speaker 1: we're going to move away from those. Hopefully this will 248 00:14:08,120 --> 00:14:09,360 Speaker 1: be the last year we see a lot and the 249 00:14:09,440 --> 00:14:13,120 Speaker 1: VATA should be interesting because of like sixty six percent 250 00:14:13,200 --> 00:14:16,080 Speaker 1: of the population is uh white, as opposed to in 251 00:14:16,160 --> 00:14:20,440 Speaker 1: Iowa and New Hampshire where it's like The other main 252 00:14:20,520 --> 00:14:23,360 Speaker 1: reason I'm uncomfortable with caucuses is I don't want the 253 00:14:23,400 --> 00:14:25,400 Speaker 1: guy or gal down the street knowing who I'm who 254 00:14:25,440 --> 00:14:27,960 Speaker 1: I'm voting for, I mean, right, I mean, I don't 255 00:14:27,960 --> 00:14:29,280 Speaker 1: even say it as a punch line. I say it 256 00:14:29,320 --> 00:14:31,400 Speaker 1: as a fact. I mean where I I mean, I 257 00:14:31,440 --> 00:14:33,480 Speaker 1: don't want to my neighbors knowing who I'm voting, but 258 00:14:33,480 --> 00:14:35,960 Speaker 1: I don't vote an election. And that especially appliest to 259 00:14:36,040 --> 00:14:40,000 Speaker 1: today because now policy proceeds religion in terms of like 260 00:14:40,080 --> 00:14:47,880 Speaker 1: differences and who you actually you know, associate yourself. I mean. 261 00:14:48,320 --> 00:14:52,960 Speaker 1: The good news is that Nevada has made available early caucusing, 262 00:14:53,080 --> 00:14:56,000 Speaker 1: I guess, early voting in the caucuses, which will broaden 263 00:14:56,040 --> 00:14:59,920 Speaker 1: his participation. Already twenty five thousand people have voted. Twe 264 00:15:00,120 --> 00:15:02,840 Speaker 1: five thousand people have already voted in Nevada. That's right, 265 00:15:02,960 --> 00:15:05,080 Speaker 1: even though and last time it was only about eighty 266 00:15:05,160 --> 00:15:07,280 Speaker 1: three thousand. I believe that was the number that voted 267 00:15:07,320 --> 00:15:11,400 Speaker 1: to participate in the entire thing. So early voting continues, 268 00:15:11,440 --> 00:15:14,480 Speaker 1: I think today again, and tomorrow and uh and then 269 00:15:14,480 --> 00:15:17,240 Speaker 1: in the end the balance of people. So do we 270 00:15:17,320 --> 00:15:21,160 Speaker 1: think Nevada matters? Robert Yes, I think Nevada manager. So 271 00:15:21,240 --> 00:15:25,680 Speaker 1: for Elizabeth Warren, why what's her path? Tell me you're 272 00:15:25,680 --> 00:15:29,200 Speaker 1: back in Elizabeth Warren? Yeah, I think Elizabeth uh path 273 00:15:29,440 --> 00:15:33,240 Speaker 1: is I hope she does decently and here and and 274 00:15:33,280 --> 00:15:36,000 Speaker 1: also I mean is able to persist at a at 275 00:15:36,000 --> 00:15:40,120 Speaker 1: a reasonable level. Um. In the end, my view is 276 00:15:40,200 --> 00:15:42,200 Speaker 1: that I hope there will be a lot of people 277 00:15:42,200 --> 00:15:45,640 Speaker 1: who decide that she is the best candidate to unite 278 00:15:45,640 --> 00:15:49,040 Speaker 1: the Democratic Party, because the last thing we need really 279 00:15:49,480 --> 00:15:52,040 Speaker 1: is a kind of polarization we had into that in sixteen. 280 00:15:52,680 --> 00:15:55,520 Speaker 1: And I think she's the one candidate in the field 281 00:15:55,720 --> 00:15:58,000 Speaker 1: who could get a lot of those Berney supporters and 282 00:15:58,040 --> 00:16:01,560 Speaker 1: get a lot of other people and to to sign 283 00:16:01,640 --> 00:16:05,280 Speaker 1: up and support her. And uh uh And so I 284 00:16:05,320 --> 00:16:08,080 Speaker 1: think that's so she's in it through Super Tuesday. Oh, 285 00:16:08,120 --> 00:16:10,360 Speaker 1: there's no doubt she's in it through Super Tuesday, I think. 286 00:16:10,360 --> 00:16:12,560 Speaker 1: And and then we'll see how things developed. I mean, 287 00:16:12,640 --> 00:16:15,640 Speaker 1: it sill be a you know, Bernie Sanders supporters are 288 00:16:15,640 --> 00:16:18,320 Speaker 1: probably the most fickle in terms of supporting anybody else. 289 00:16:18,320 --> 00:16:19,960 Speaker 1: They're gonna see a lot where you're gonna see in 290 00:16:20,720 --> 00:16:23,880 Speaker 1: if the candidate is not Bernie Sanders, they're all gone. 291 00:16:23,880 --> 00:16:27,360 Speaker 1: They're not. You won't even get I think you might 292 00:16:27,400 --> 00:16:29,800 Speaker 1: get a few, but you will not get even if 293 00:16:29,800 --> 00:16:33,360 Speaker 1: he gets even if he gets even if even if 294 00:16:33,960 --> 00:16:37,280 Speaker 1: let's say, of Bernie Sanders supporters show up and vote 295 00:16:37,280 --> 00:16:41,239 Speaker 1: for the nominee, not could tip an election. Absolutely, Oh absolutely, 296 00:16:41,520 --> 00:16:44,560 Speaker 1: I mean I just did a piece today actually in 297 00:16:44,680 --> 00:16:51,640 Speaker 1: Daily Coach argued that being a moderate is not you know, 298 00:16:51,680 --> 00:16:55,560 Speaker 1: they kind of established punditory says, well, every kind of 299 00:16:55,600 --> 00:16:57,560 Speaker 1: understands that the more moderate you are, the better chance 300 00:16:57,600 --> 00:16:59,760 Speaker 1: you have a re election. That is simply not true 301 00:16:59,800 --> 00:17:04,920 Speaker 1: historically for either party, for either party. Ask John McCain 302 00:17:05,000 --> 00:17:07,760 Speaker 1: and Hillary Clinton how well that worked out for them. 303 00:17:07,800 --> 00:17:12,680 Speaker 1: I mean since John Kennedy, Uh, people have been cutting off. 304 00:17:13,160 --> 00:17:15,840 Speaker 1: We're going to continue the conversation coming up. We have 305 00:17:15,840 --> 00:17:18,040 Speaker 1: a hard break, But I don't want you to interpret 306 00:17:18,119 --> 00:17:20,160 Speaker 1: that as me cutting you off, because it's a great discussion. 307 00:17:20,240 --> 00:17:21,919 Speaker 1: We'll use it as our pivot point coming up. I'm 308 00:17:21,960 --> 00:17:30,480 Speaker 1: Kevin Sirelli. You're listening to Bloomberg. This is Bloomberg's Sound 309 00:17:30,600 --> 00:17:35,120 Speaker 1: On with Kevin Surrele on Bloomberg and one oh five 310 00:17:35,160 --> 00:17:38,679 Speaker 1: point seven f M h D two. I'm Kevin Sirelli, 311 00:17:38,800 --> 00:17:41,560 Speaker 1: Chief Washington correspondent from Bloomberg Television of Bloomberg Radio. I'm 312 00:17:41,560 --> 00:17:44,119 Speaker 1: having fun today, and I think it's important to have fun. 313 00:17:44,760 --> 00:17:49,920 Speaker 1: Taj Saraj hash Me is here from the Washington Examiner, 314 00:17:49,960 --> 00:17:54,560 Speaker 1: which is killing it lately. I know, so are we. Yeah, 315 00:17:54,640 --> 00:17:56,320 Speaker 1: you guys are very I mean I think you guys 316 00:17:56,320 --> 00:17:58,280 Speaker 1: have been on the ascent for the past couple of years. Yeah. 317 00:17:58,320 --> 00:18:00,320 Speaker 1: Now we've been doing pretty well. Yeah. Yeah, you know, 318 00:18:00,600 --> 00:18:02,439 Speaker 1: I'm not gonna I'm not gonna, you know, get myself 319 00:18:02,480 --> 00:18:04,800 Speaker 1: all the credit. But I'm not gonna say it's not not. 320 00:18:05,680 --> 00:18:09,560 Speaker 1: Robert Kreamer's here from the North side of Chicago and yeah, 321 00:18:10,200 --> 00:18:13,439 Speaker 1: Democratic strategist. Uh. And we were just talking about the 322 00:18:13,520 --> 00:18:15,159 Speaker 1: NBA All Star Game. I was like, did you go, 323 00:18:15,320 --> 00:18:18,080 Speaker 1: did you encoquor something? Chikowski, your your wife go to 324 00:18:18,119 --> 00:18:19,879 Speaker 1: the game and you told me no, how do you 325 00:18:19,920 --> 00:18:24,240 Speaker 1: miss the Chi town magic? Shocking decision on airport? I watched. 326 00:18:25,760 --> 00:18:28,520 Speaker 1: I watched Jennifer Hudson my heart out ripped it into 327 00:18:28,520 --> 00:18:31,040 Speaker 1: pieces like she went over it, then backed it up, 328 00:18:31,119 --> 00:18:33,880 Speaker 1: then went over it again. Her song, her tribute to 329 00:18:33,880 --> 00:18:36,760 Speaker 1: to Kobe Bryant. I love the new format too. Oh, 330 00:18:36,800 --> 00:18:39,479 Speaker 1: I thought the format was amazing. The NFL Roger Goodell 331 00:18:39,680 --> 00:18:42,600 Speaker 1: should call up the NBA and say, now that's silver. 332 00:18:42,960 --> 00:18:47,679 Speaker 1: He is by far the best commissioner and in professional 333 00:18:47,680 --> 00:18:49,560 Speaker 1: sports right now. They did it for charity. There was 334 00:18:49,600 --> 00:18:52,119 Speaker 1: a charity component, and it it sucked you in. I 335 00:18:52,520 --> 00:18:57,000 Speaker 1: actually enjoyed, enjoyed it terrific. Yeah, Chicago dish things up right. 336 00:18:57,119 --> 00:19:00,000 Speaker 1: Chicago's kind of like you know. I was back home 337 00:19:00,160 --> 00:19:02,000 Speaker 1: this weekend for my three day week and I went 338 00:19:02,040 --> 00:19:04,320 Speaker 1: to Squos. If you've never been to the Italian market 339 00:19:04,359 --> 00:19:10,200 Speaker 1: on Ninth Street and Philly, get the best Pistel's Yankees pasta. 340 00:19:10,480 --> 00:19:14,080 Speaker 1: I rented a car and my my mother, she's Irish too, 341 00:19:14,160 --> 00:19:16,880 Speaker 1: but she sent me back with all I have enough. 342 00:19:17,200 --> 00:19:20,399 Speaker 1: I'm telling you I have enough Italian food in my 343 00:19:20,480 --> 00:19:25,480 Speaker 1: freezer right now to last meet between now an election day. 344 00:19:27,600 --> 00:19:30,359 Speaker 1: All right, enough about pasta. That's what everyone should have 345 00:19:30,440 --> 00:19:35,960 Speaker 1: for dinner tonight. Pasta. But foreign policy, they tell me 346 00:19:36,000 --> 00:19:39,080 Speaker 1: I'm really good at segues. I'm kidding him not, I'm terrible. Um, 347 00:19:39,160 --> 00:19:41,879 Speaker 1: but no, let's in all seriousness. Secretary of State Mike 348 00:19:41,880 --> 00:19:46,679 Speaker 1: Ppeo continuing with these speeches over the last UH several months. 349 00:19:46,680 --> 00:19:49,119 Speaker 1: It started in Silicon Valley, then it continued at the 350 00:19:49,640 --> 00:19:53,280 Speaker 1: UH National Governors Association the other week, and then over 351 00:19:53,400 --> 00:19:58,280 Speaker 1: the weekend at the Munich Security Conference, really targeting targeting 352 00:19:58,359 --> 00:20:03,320 Speaker 1: China and and really sounding the siren and a bipartisan 353 00:20:03,359 --> 00:20:06,760 Speaker 1: way about the concerns as it relates to China. We 354 00:20:06,840 --> 00:20:10,080 Speaker 1: started the day with some developments of Huawei UH and 355 00:20:10,200 --> 00:20:14,119 Speaker 1: how Huawei is once again in the news over in 356 00:20:14,160 --> 00:20:17,880 Speaker 1: a bipartisan way about scrutiny coming from lawmakers and board 357 00:20:17,960 --> 00:20:21,080 Speaker 1: both parties. But then get this the headline on the 358 00:20:21,160 --> 00:20:24,639 Speaker 1: Bloomberg terminal Justice Afternoon by Glenn Carey. The U S 359 00:20:24,680 --> 00:20:29,879 Speaker 1: designated five Chinese media companies as quote foreign missions, a 360 00:20:29,960 --> 00:20:32,920 Speaker 1: decision that reflects the Trump administration's view that the Communist 361 00:20:32,960 --> 00:20:37,440 Speaker 1: Party of shi Jingping is imposing increasingly draconian government control 362 00:20:37,920 --> 00:20:41,920 Speaker 1: over news services. This according to senior State Department officials, 363 00:20:42,440 --> 00:20:46,840 Speaker 1: UH everything from China Global Television Network, China Radio International, 364 00:20:47,200 --> 00:20:51,720 Speaker 1: China Daily Distribution Corps. I mean, it's amazing that now 365 00:20:51,800 --> 00:20:55,600 Speaker 1: they are going to be subject to two sanctions, especially 366 00:20:55,640 --> 00:21:00,000 Speaker 1: given the rest spite of tension with the US China 367 00:21:00,680 --> 00:21:05,560 Speaker 1: trade days one, and I would say that it is 368 00:21:06,400 --> 00:21:09,199 Speaker 1: on foreign policy, Trump has actually done more in the 369 00:21:09,280 --> 00:21:13,320 Speaker 1: last than the last two presidents. Well, let's just say 370 00:21:13,720 --> 00:21:19,760 Speaker 1: ever since Nixon, in terms of approaching the Chinese UM. 371 00:21:19,840 --> 00:21:25,040 Speaker 1: He has done more to combat their aggressiveness on things 372 00:21:25,119 --> 00:21:30,600 Speaker 1: like combating UH, their trade policies, on combating their IP theft, 373 00:21:30,680 --> 00:21:34,000 Speaker 1: on combating UM just their human rights abuses. I mean, 374 00:21:34,400 --> 00:21:37,359 Speaker 1: I'm actually my episode on my next episode on the 375 00:21:37,400 --> 00:21:40,720 Speaker 1: podcast is talking about the weaker re education camps where 376 00:21:40,720 --> 00:21:45,040 Speaker 1: there's over a million weaker Muslims in the Shinjiang Province, 377 00:21:45,040 --> 00:21:47,840 Speaker 1: which is the northwestern province in China who are detained 378 00:21:47,880 --> 00:21:51,199 Speaker 1: simply for the practice UH, simply because they're practicing their 379 00:21:51,240 --> 00:21:54,560 Speaker 1: Islamic faith. And they have been doing this for the 380 00:21:54,640 --> 00:21:57,239 Speaker 1: last seventy years. Ever since they ascended to being the 381 00:21:57,280 --> 00:22:02,359 Speaker 1: sole party of China in nine under Malza Dong. Tens 382 00:22:02,359 --> 00:22:06,159 Speaker 1: of millions of died from communism and it's about time. 383 00:22:06,440 --> 00:22:08,480 Speaker 1: I mean, I know it's not gonna it's it's sort 384 00:22:08,480 --> 00:22:10,640 Speaker 1: of like putting a band aid on it, but it's 385 00:22:10,680 --> 00:22:13,400 Speaker 1: at least something and moving in the direction of trying 386 00:22:13,440 --> 00:22:15,359 Speaker 1: to So you're talking about the leaker. So there's that 387 00:22:15,440 --> 00:22:17,760 Speaker 1: all element to hear from a religious Briti stamp. But 388 00:22:17,800 --> 00:22:20,760 Speaker 1: I'm just talking a so I hear you. And then 389 00:22:20,800 --> 00:22:25,159 Speaker 1: you've got now the sanctions on the China entities and 390 00:22:25,200 --> 00:22:28,440 Speaker 1: then uh, the Ambassador to Germany for the United States, 391 00:22:28,520 --> 00:22:32,280 Speaker 1: Richard Grennell, tweeting out earlier today, Uh, some concerns as 392 00:22:32,320 --> 00:22:36,760 Speaker 1: it relates to Huawei. Remember, China has been really infiltrating 393 00:22:37,119 --> 00:22:42,520 Speaker 1: the five G landscape in Europe with the likes of Germany, Uh, 394 00:22:42,640 --> 00:22:46,560 Speaker 1: the Italians, maybe the French as it relates to Huawei, 395 00:22:46,560 --> 00:22:49,840 Speaker 1: and Reuters reporting that the Trump administration is now considering 396 00:22:49,960 --> 00:22:54,000 Speaker 1: changing US regulations to allow it to block shipments of 397 00:22:54,119 --> 00:22:57,840 Speaker 1: chips to Huawei from companies such as Taiwan's t SMC, 398 00:22:58,320 --> 00:23:01,080 Speaker 1: the world's largest contract chip maker. So they're now they're 399 00:23:01,119 --> 00:23:03,760 Speaker 1: going after Hualle. And it was over the weekend that 400 00:23:03,800 --> 00:23:06,440 Speaker 1: Speaker Pelosi said she backed Trump on the issue of 401 00:23:06,520 --> 00:23:11,200 Speaker 1: all away. Well, here's the problem with Trump's uh foreign 402 00:23:11,240 --> 00:23:14,960 Speaker 1: policy generally is this unilateralism and his inability to work 403 00:23:15,000 --> 00:23:19,800 Speaker 1: with others has yielded the situation around whoawa He's not 404 00:23:19,800 --> 00:23:23,439 Speaker 1: getting support of this are Earth while allies because he 405 00:23:23,560 --> 00:23:27,760 Speaker 1: is so alienated most allies in the world. And uh, 406 00:23:28,000 --> 00:23:32,680 Speaker 1: and let's be clear, I mean Trump talking about authoritarianism 407 00:23:32,960 --> 00:23:37,720 Speaker 1: is a refreshing and surprising turn because Trump is interest 408 00:23:37,920 --> 00:23:41,680 Speaker 1: Trump would like to make this a more authoritarian country. 409 00:23:41,760 --> 00:23:44,159 Speaker 1: But and uh and and you know, I'm glad to 410 00:23:44,200 --> 00:23:48,399 Speaker 1: see he's defending weaker's in in in China when he 411 00:23:48,440 --> 00:23:51,240 Speaker 1: has a Muslim ban, he's promoted in terms of me. 412 00:23:51,920 --> 00:23:54,320 Speaker 1: But let me let me keep this hyper focused on 413 00:23:54,359 --> 00:23:57,439 Speaker 1: the issue of US China trade relations because from a 414 00:23:57,440 --> 00:24:00,840 Speaker 1: policy standpoint, I wish that we could get a more 415 00:24:01,040 --> 00:24:04,840 Speaker 1: meady debate in terms of trade policy within the Democratic Party, 416 00:24:04,880 --> 00:24:07,919 Speaker 1: because you and I both know this that when it 417 00:24:08,000 --> 00:24:12,000 Speaker 1: comes to trade policy, there are again some areas and 418 00:24:12,000 --> 00:24:15,480 Speaker 1: how the president has negotiated with other countries, especially with 419 00:24:15,720 --> 00:24:18,960 Speaker 1: utilizing tariffs and whatnot. Uh and and pulling out of 420 00:24:19,040 --> 00:24:23,919 Speaker 1: us m C and whatnot. That Warren Bernie and others 421 00:24:23,920 --> 00:24:26,680 Speaker 1: in the Democratic Party maybe they don't agree with the approach, 422 00:24:27,119 --> 00:24:31,320 Speaker 1: but they are more more aligned with that than establishments 423 00:24:31,359 --> 00:24:33,840 Speaker 1: of both parties. There is no doubt that at least 424 00:24:33,880 --> 00:24:36,159 Speaker 1: my wing of the Democratic Party is much more interested 425 00:24:36,200 --> 00:24:39,480 Speaker 1: in a in a rigorous trade policy, that is that 426 00:24:39,680 --> 00:24:42,560 Speaker 1: stands up for American workers in the environment and so forth. 427 00:24:43,080 --> 00:24:46,399 Speaker 1: Then the crew that is interested in allowing corporations to 428 00:24:46,480 --> 00:24:49,320 Speaker 1: have their have their way. I will say that the 429 00:24:49,840 --> 00:24:54,240 Speaker 1: renegotiation of the NAFTA the the the agreement he brought 430 00:24:54,280 --> 00:24:56,639 Speaker 1: to the table, brought to Leader Pelosi and to the 431 00:24:56,640 --> 00:25:02,640 Speaker 1: Democrats was really flawed. I mean, gave gave prescription drugmakers 432 00:25:02,760 --> 00:25:07,320 Speaker 1: all search of ways and it wasn't for the Democratic 433 00:25:07,480 --> 00:25:11,240 Speaker 1: UH working group that was negotiating this, that including my 434 00:25:11,240 --> 00:25:15,199 Speaker 1: wife who's on it, negotiated a much better deal in 435 00:25:15,240 --> 00:25:18,400 Speaker 1: the end, uh than the one he brought back. So 436 00:25:18,640 --> 00:25:20,639 Speaker 1: let's be clear that he still has a lot of 437 00:25:20,680 --> 00:25:23,240 Speaker 1: inform I hear, But I want to ask you this, though, 438 00:25:23,600 --> 00:25:27,080 Speaker 1: why do you think we haven't heard trade policy as 439 00:25:27,119 --> 00:25:30,640 Speaker 1: more of a defining issue in the Democratic presidential race. 440 00:25:30,920 --> 00:25:34,639 Speaker 1: I think because everybody in these stages has at least 441 00:25:34,720 --> 00:25:38,439 Speaker 1: alleged that they support views that are more akin to 442 00:25:38,640 --> 00:25:42,080 Speaker 1: Bernie Sanders and Elizabeth Warren than the trade policies of 443 00:25:42,160 --> 00:25:46,280 Speaker 1: Bill Clinton. And uh, that's not I agree, it may 444 00:25:46,320 --> 00:25:48,600 Speaker 1: not be true. I'm just saying, I'm just curious they 445 00:25:48,640 --> 00:25:51,080 Speaker 1: alleged that is true. But let me help me out here, 446 00:25:51,119 --> 00:25:54,040 Speaker 1: because because what I don't understand is is they all 447 00:25:54,160 --> 00:25:56,720 Speaker 1: are in agreement that they don't like Trump, but there 448 00:25:56,720 --> 00:26:01,720 Speaker 1: actually is substantial policy disagreement amongst of candidates on the economy. 449 00:26:01,760 --> 00:26:05,280 Speaker 1: Elizabeth Warren and Bernie Sanders are more for economic protectionism 450 00:26:05,320 --> 00:26:07,399 Speaker 1: when it comes to China, and they actually fall online 451 00:26:07,600 --> 00:26:09,840 Speaker 1: more closely to Trump on trade. And if you're a 452 00:26:09,880 --> 00:26:12,680 Speaker 1: Democrat listening, don't drive off the road, keep your eyes 453 00:26:12,720 --> 00:26:16,600 Speaker 1: on the road. But in tariffs, in terms of Bernie 454 00:26:16,600 --> 00:26:19,040 Speaker 1: Sanders trade policy, would China be no different than Trump's 455 00:26:19,040 --> 00:26:23,520 Speaker 1: I think and probably know I'm just saying, maybe maybe 456 00:26:23,520 --> 00:26:26,399 Speaker 1: the rhetoric is different, But in terms of getting China 457 00:26:26,440 --> 00:26:29,200 Speaker 1: to actually come to the negotiating table, I think they. 458 00:26:29,920 --> 00:26:32,400 Speaker 1: I think they both would use populous methods of imposing 459 00:26:32,440 --> 00:26:36,160 Speaker 1: trade tariffs on Chinese goods or Chinese exports to try 460 00:26:36,200 --> 00:26:40,400 Speaker 1: to get This big difference is that the Democrats would 461 00:26:40,880 --> 00:26:44,480 Speaker 1: engage a coalition, right, I mean, you know, come on, 462 00:26:44,760 --> 00:26:47,560 Speaker 1: Trump started out the trade war with China by then 463 00:26:47,680 --> 00:26:51,480 Speaker 1: turning around and making war on the Europeans instead of 464 00:26:52,680 --> 00:26:55,240 Speaker 1: instead of trying to unite people. I just am baffled 465 00:26:55,240 --> 00:26:58,440 Speaker 1: that it hasn't been more of I was just this 466 00:26:58,480 --> 00:27:01,119 Speaker 1: is where my hypothesis was wrong as a reporter, was 467 00:27:01,280 --> 00:27:03,879 Speaker 1: you shouldn't have a hypothesis as a reporter. But but 468 00:27:03,960 --> 00:27:05,719 Speaker 1: in terms of thinking, I thought that still be one 469 00:27:05,760 --> 00:27:09,240 Speaker 1: of the defining differentiating issues of the campaign is where 470 00:27:09,240 --> 00:27:11,920 Speaker 1: the candidates stand on the economy, and so far I've 471 00:27:11,960 --> 00:27:14,800 Speaker 1: been wrong. Coming up much more from the panel. What's 472 00:27:14,800 --> 00:27:17,399 Speaker 1: on their radar? What's their quick take? I'm Kevin Cirelli 473 00:27:17,440 --> 00:27:25,239 Speaker 1: heading to Vegas. Baby, you're listening to Bloomberg. This is 474 00:27:25,240 --> 00:27:30,600 Speaker 1: Bloomberg Sound On with Kevin Sirel on Bloomberg and one 475 00:27:30,600 --> 00:27:34,520 Speaker 1: oh five point seven FM h D two. My name 476 00:27:34,600 --> 00:27:37,440 Speaker 1: is Kevin Cirelli'm the chief Washington correspondent for Bloomberg Television 477 00:27:37,480 --> 00:27:41,560 Speaker 1: and Bloomberg Radio. And reminder, we're gonna be broadcasting tomorrow 478 00:27:41,640 --> 00:27:45,280 Speaker 1: from Las Vegas, Nevada. I'm headed there on the Red 479 00:27:45,320 --> 00:27:47,960 Speaker 1: Eye and we're touching down and then we're going right 480 00:27:47,960 --> 00:27:50,800 Speaker 1: to the studio to broadcast for Blomberg Television and we 481 00:27:50,840 --> 00:27:56,400 Speaker 1: will have our continued all star coverage of the Democratic 482 00:27:56,400 --> 00:27:59,000 Speaker 1: presidential debate. Robert Creamer's here. It's your first time on 483 00:27:59,040 --> 00:28:02,199 Speaker 1: the show. Would you ever come back? Thank you for 484 00:28:02,240 --> 00:28:06,480 Speaker 1: saying that you're having fun. I appreciate that. See, I 485 00:28:06,600 --> 00:28:09,440 Speaker 1: like to have fun, you know everything, So like depressing 486 00:28:09,480 --> 00:28:12,440 Speaker 1: these datas, you gotta lighten it up, you know. Saraj 487 00:28:12,560 --> 00:28:15,720 Speaker 1: Hashmi's here, would you come back? Is your second time? 488 00:28:15,840 --> 00:28:17,880 Speaker 1: The second time you think you think I leave. Now 489 00:28:18,040 --> 00:28:19,920 Speaker 1: I feel like, yeah, I feel like you're you're yeah, 490 00:28:19,960 --> 00:28:21,760 Speaker 1: I get I feel like you get the flow now. 491 00:28:22,320 --> 00:28:24,960 Speaker 1: So I was back in Delgo over the weekend and 492 00:28:25,000 --> 00:28:27,920 Speaker 1: I took my guts on pe Nicks to three years old. 493 00:28:27,920 --> 00:28:32,080 Speaker 1: Now he's growing up so fast, my nephew. And he 494 00:28:32,119 --> 00:28:34,480 Speaker 1: was born the day I interviewed Trump. So I always like, 495 00:28:35,040 --> 00:28:38,200 Speaker 1: remember and I go, who's the president? He goes Trump Trump, 496 00:28:38,320 --> 00:28:40,760 Speaker 1: like he knows who the president? Is it three years old? Anyway, 497 00:28:40,800 --> 00:28:45,360 Speaker 1: I took him to Jurassic World and uh, that kid 498 00:28:45,640 --> 00:28:49,320 Speaker 1: telling you you see a kid watch Dinosaurs, Jurassic World, 499 00:28:49,360 --> 00:28:53,520 Speaker 1: the movie. No, it's like this live circus training, robotic 500 00:28:53,640 --> 00:28:57,560 Speaker 1: artificial intelligence, special effects. I was freaked out. The kid 501 00:28:57,640 --> 00:29:00,120 Speaker 1: did fine, but I was, you know, are they you? 502 00:29:00,240 --> 00:29:02,640 Speaker 1: Are they not? And this is in La Well, this 503 00:29:02,720 --> 00:29:05,160 Speaker 1: was actually in Philly. And then I went to the 504 00:29:05,160 --> 00:29:07,640 Speaker 1: Italian market. I just you know, I'm such a sucker 505 00:29:07,640 --> 00:29:10,000 Speaker 1: for home. Where did you grow up? Where I grew 506 00:29:10,080 --> 00:29:13,240 Speaker 1: up in? Report? I grew up in Shreveport, Louisiana. How 507 00:29:13,240 --> 00:29:15,480 Speaker 1: did you adopt in Chitown? Well, I got involved in 508 00:29:15,480 --> 00:29:19,560 Speaker 1: the civil rights movement many many years ago, which uh, 509 00:29:19,640 --> 00:29:23,040 Speaker 1: well it was actually you know, in Shreveport there was 510 00:29:23,120 --> 00:29:26,960 Speaker 1: a lot of controversy over school integration and all the 511 00:29:27,000 --> 00:29:29,600 Speaker 1: things we and then I went to Duke, where we 512 00:29:29,760 --> 00:29:33,280 Speaker 1: had more controversy for civil rights and in the Vietnam War. 513 00:29:33,920 --> 00:29:36,160 Speaker 1: And then I came to the University of Chicago to 514 00:29:36,200 --> 00:29:39,200 Speaker 1: graduate school and got involved with Saul Lensky's last project 515 00:29:39,240 --> 00:29:40,920 Speaker 1: in Chicago. And I've been doing this kind of work 516 00:29:40,920 --> 00:29:44,640 Speaker 1: ever since. Okay, what's your parents do. My dad was 517 00:29:44,720 --> 00:29:49,560 Speaker 1: a steel fabricating guy. He was in business, and my 518 00:29:49,640 --> 00:29:53,400 Speaker 1: mother was a teacher. Cool. Um, I don't like Duke basketball. 519 00:29:53,440 --> 00:29:55,680 Speaker 1: I just have to every time someone tells me, I 520 00:29:55,960 --> 00:29:58,800 Speaker 1: admire your service as it relates to to the civil 521 00:29:58,840 --> 00:30:01,480 Speaker 1: rights and seriously, you know that's amazing. But Duke basketball 522 00:30:01,520 --> 00:30:04,800 Speaker 1: you don't like. But coach k Can I just can't. Sorry, 523 00:30:05,040 --> 00:30:08,840 Speaker 1: very effective, very effective coach. Okay, we're gonna move on 524 00:30:09,480 --> 00:30:12,600 Speaker 1: on the show. That game against you, n C. I'm 525 00:30:12,600 --> 00:30:14,920 Speaker 1: still talking about it. I was talking about it all Manchester. 526 00:30:15,400 --> 00:30:17,800 Speaker 1: I've spent enough time talking about sports. I apologize to 527 00:30:17,800 --> 00:30:21,600 Speaker 1: our executive producer, Christine Brada. I'm gonna get back on track. Um, 528 00:30:21,800 --> 00:30:23,560 Speaker 1: we do this thing on the show called what is 529 00:30:23,600 --> 00:30:25,720 Speaker 1: on your What's your quick take on your radar? It's where, 530 00:30:26,000 --> 00:30:27,880 Speaker 1: you know, you tell me something it's in the news 531 00:30:27,880 --> 00:30:29,880 Speaker 1: but maybe not getting enough attention, and I want to 532 00:30:29,880 --> 00:30:32,920 Speaker 1: hear all about it. You're going to go first, Alright, 533 00:30:32,960 --> 00:30:36,760 Speaker 1: So we got the Democratic debate happening in Las Vegas. Uh. 534 00:30:36,880 --> 00:30:40,080 Speaker 1: So people have been writing off Michael Bloomberg on his 535 00:30:40,120 --> 00:30:43,240 Speaker 1: debate performance already. They set the bar solo, and I 536 00:30:43,280 --> 00:30:45,840 Speaker 1: actually think he's going to do very well because they 537 00:30:45,880 --> 00:30:49,560 Speaker 1: set the bar solo. Uh. And then I'm also thinking, 538 00:30:49,600 --> 00:30:53,880 Speaker 1: so you think he's gonna beat expectations because expect it's 539 00:30:53,880 --> 00:30:58,320 Speaker 1: like a Star Wars film, you know the Star Wars fans. 540 00:30:58,440 --> 00:31:00,960 Speaker 1: Nobody hates Star Wars movie is like Star Wars fans, 541 00:31:01,000 --> 00:31:03,160 Speaker 1: and they set the expectations so low that they ended 542 00:31:03,240 --> 00:31:06,560 Speaker 1: up being either great or horrible. But I will say this, 543 00:31:07,000 --> 00:31:11,240 Speaker 1: There has been some talk online about Stacy Abrams possibly 544 00:31:11,440 --> 00:31:14,520 Speaker 1: possibly being a running mate to Michael Bloomberg, to which 545 00:31:14,520 --> 00:31:16,480 Speaker 1: I said on the view that she wants to be, 546 00:31:17,440 --> 00:31:19,400 Speaker 1: that she would be open to doing it. I think 547 00:31:19,440 --> 00:31:23,680 Speaker 1: it's interesting because it would actually hurt her more than 548 00:31:23,720 --> 00:31:28,080 Speaker 1: they would help Michael Bloomberg because people look at her 549 00:31:28,680 --> 00:31:31,640 Speaker 1: and they kind of already have this. She already has 550 00:31:31,720 --> 00:31:34,840 Speaker 1: this aura of someone who can do no wrong. And 551 00:31:34,880 --> 00:31:37,760 Speaker 1: as soon as if she aligns herself with Michael Bloomberg 552 00:31:37,840 --> 00:31:40,880 Speaker 1: after the stop in first comments, um, after a lot 553 00:31:40,920 --> 00:31:43,160 Speaker 1: of the negative comments, a lot of the things that 554 00:31:43,200 --> 00:31:45,320 Speaker 1: he's said in the last week that have been revealed, 555 00:31:45,760 --> 00:31:49,960 Speaker 1: I believe it might help Bloomberg, but it will certainly 556 00:31:50,040 --> 00:31:54,680 Speaker 1: hurt Station. I'm actually really I think the I think 557 00:31:54,720 --> 00:31:57,320 Speaker 1: actually Joe Biden could have a really big night tomorrow 558 00:31:57,400 --> 00:32:01,680 Speaker 1: night because I think all of the back and forth 559 00:32:01,680 --> 00:32:04,480 Speaker 1: will be involving Bloomberg and all the other candidas. Yeah, 560 00:32:04,480 --> 00:32:06,920 Speaker 1: I would just say, yeah, I think partially with this 561 00:32:07,040 --> 00:32:11,160 Speaker 1: Bloomberg Bernie back and forth takes the focus away from Biden, 562 00:32:11,320 --> 00:32:14,680 Speaker 1: and I actually think right, and so I don't know. 563 00:32:14,720 --> 00:32:18,560 Speaker 1: And again just as a disclaimer, Michael Bloomberg, who is 564 00:32:18,600 --> 00:32:21,440 Speaker 1: seeking the Democratic presidential nomination as the founder and majority 565 00:32:21,480 --> 00:32:24,680 Speaker 1: owner of Bloomberg LP, the parent company of Bloomberg Radio, 566 00:32:25,440 --> 00:32:28,760 Speaker 1: I cannot wait to watch that debate from Vegas. It's 567 00:32:28,760 --> 00:32:30,800 Speaker 1: going to be interesting, Yes, it will, and it will 568 00:32:30,840 --> 00:32:32,800 Speaker 1: be a big deal in terms of I think the 569 00:32:32,880 --> 00:32:36,840 Speaker 1: next phase of the Democratic and where the party and 570 00:32:36,840 --> 00:32:39,040 Speaker 1: and and that's right, and and you know, and the 571 00:32:39,080 --> 00:32:42,440 Speaker 1: next phase South Carolina and then Super Tuesday. You know, 572 00:32:42,520 --> 00:32:45,840 Speaker 1: that's where much of the nation starts to vote. And 573 00:32:45,880 --> 00:32:48,200 Speaker 1: I think that will probably be more significant this year 574 00:32:48,560 --> 00:32:53,320 Speaker 1: than even the in the early still feel New Hampshire 575 00:32:53,360 --> 00:32:58,200 Speaker 1: and I I'm not alright, what's what's your totally totally Shepard, 576 00:32:58,560 --> 00:33:00,720 Speaker 1: That's what I like. I love the verse. There's a 577 00:33:00,720 --> 00:33:04,040 Speaker 1: guy named Paul Singer who is a vulture capitalist and 578 00:33:04,080 --> 00:33:06,520 Speaker 1: he's a very close friend of Donald Trump's, and he 579 00:33:06,680 --> 00:33:08,840 Speaker 1: is in the process of trying to shake down a 580 00:33:09,000 --> 00:33:15,360 Speaker 1: T and T well to to cut costs, which basically means, uh, 581 00:33:15,560 --> 00:33:21,600 Speaker 1: screwing around the unions. And uh, that is a battle 582 00:33:21,680 --> 00:33:23,560 Speaker 1: that is kind of a T and T being a 583 00:33:23,600 --> 00:33:27,480 Speaker 1: big union employer. Unions, of course, in my view, are 584 00:33:27,520 --> 00:33:30,240 Speaker 1: the principal solution to the problem of income inequality in 585 00:33:30,240 --> 00:33:33,880 Speaker 1: the United States. And uh, uh you know, we'll it'll 586 00:33:33,920 --> 00:33:36,280 Speaker 1: be interesting to see how that begins to play out. 587 00:33:36,320 --> 00:33:38,040 Speaker 1: And I think it's got a lot more coverage as 588 00:33:38,120 --> 00:33:40,800 Speaker 1: situation develops. Well, it was in the Post the other day. Yeah, 589 00:33:40,880 --> 00:33:44,000 Speaker 1: I mean that's I mean, the Post has been really 590 00:33:44,040 --> 00:33:46,400 Speaker 1: actually covering this all. Let me just pull it up. 591 00:33:46,480 --> 00:33:49,560 Speaker 1: Josh Kossman in the New York Post writing Goldman Sachs 592 00:33:49,600 --> 00:33:52,320 Speaker 1: has invited its large trading clients, including hedge funds, to 593 00:33:52,360 --> 00:33:55,600 Speaker 1: a meeting with Sautbank chairman and chief executive UH and 594 00:33:55,760 --> 00:33:58,560 Speaker 1: the CEO of the coming weeks, which is raising eyebrows, 595 00:33:59,080 --> 00:34:02,760 Speaker 1: so you know it will be interesting. And that's think 596 00:34:02,800 --> 00:34:05,560 Speaker 1: he's play in that direction as well. So these vulture 597 00:34:05,600 --> 00:34:07,880 Speaker 1: capitalists in general that create no value and just try 598 00:34:07,920 --> 00:34:11,200 Speaker 1: and extract value out of people. One man's vulture capitalist 599 00:34:11,239 --> 00:34:14,920 Speaker 1: is another man's business opportunity just to stay in the middle. 600 00:34:15,120 --> 00:34:17,759 Speaker 1: That's what. Okay, So a can I'll tell you what's 601 00:34:17,760 --> 00:34:22,600 Speaker 1: on my radar, my quick take on my radar ross Neft. 602 00:34:23,640 --> 00:34:25,759 Speaker 1: This is huge, So as you guys know, I'm a 603 00:34:25,760 --> 00:34:29,440 Speaker 1: foreign policy nerd. So they just got sanctioned today and 604 00:34:29,480 --> 00:34:32,799 Speaker 1: they are a unit of Russia's largest oil producer. So 605 00:34:32,800 --> 00:34:36,000 Speaker 1: if you've been following Dictator Maduro down in Venezuela and 606 00:34:36,040 --> 00:34:38,520 Speaker 1: how Huangwaido has been backed by the United States as 607 00:34:38,520 --> 00:34:42,399 Speaker 1: well as fifty plus other countries worldwide. Um, A lot 608 00:34:42,480 --> 00:34:49,439 Speaker 1: of the people in the in the Venezuela political orbit 609 00:34:49,480 --> 00:34:52,120 Speaker 1: on both sides of the aisle have really been pressing 610 00:34:52,120 --> 00:34:55,360 Speaker 1: the Trump administration to go after Russia as it relates, 611 00:34:55,520 --> 00:34:59,680 Speaker 1: because Russia's propping up Medoro and so as this Cuba, 612 00:35:00,040 --> 00:35:03,000 Speaker 1: and so for them to sanction, for the US to 613 00:35:03,120 --> 00:35:07,200 Speaker 1: sanction Rosnov today a unit of Russia's largest oil producer. 614 00:35:07,600 --> 00:35:10,560 Speaker 1: It's quite telling. And the Treasury Department's Office of Foreign 615 00:35:10,560 --> 00:35:14,040 Speaker 1: Assets Control is acting against Rothnes Trading Essay, the company's 616 00:35:14,040 --> 00:35:18,000 Speaker 1: Swiss incorporated brokerage firm as well as chairman did here, Cassimo, 617 00:35:18,160 --> 00:35:20,840 Speaker 1: that was because they tried to help Venezuela skirt u 618 00:35:21,000 --> 00:35:24,719 Speaker 1: s sanctions. Is that right? Yes? But also because they're 619 00:35:24,719 --> 00:35:27,480 Speaker 1: propping up Venezuela Medora that would do it too, and 620 00:35:27,640 --> 00:35:30,200 Speaker 1: and because they have ties to the Venezuelan oil trade. 621 00:35:30,320 --> 00:35:34,160 Speaker 1: So it's a massive signal to Russia that when it 622 00:35:34,239 --> 00:35:37,000 Speaker 1: comes to Venezuela, when it comes to Latin America, that 623 00:35:37,120 --> 00:35:40,800 Speaker 1: Treasury Department is now taking a more aggressive tone. I 624 00:35:40,880 --> 00:35:43,760 Speaker 1: also do want to clarify, I'm not sure Paul Singer 625 00:35:43,800 --> 00:35:47,440 Speaker 1: and Trump are friends. Oh yeah, they're there there. Did 626 00:35:47,480 --> 00:35:49,320 Speaker 1: they play golf together? I don't know about that, But 627 00:35:49,440 --> 00:35:51,000 Speaker 1: I do know that he's been Well, they're not friends. 628 00:35:53,360 --> 00:35:57,080 Speaker 1: He's a big supporter of Donald Trump and other associated 629 00:35:57,160 --> 00:36:00,480 Speaker 1: Bandon doesn't like him. Yeah, well that's tough. K Carlson 630 00:36:00,520 --> 00:36:03,880 Speaker 1: doesn't like him either. Tucker Carlson actually doesn't like him 631 00:36:03,920 --> 00:36:06,440 Speaker 1: at all, for reasons that are pretty good for a 632 00:36:06,560 --> 00:36:09,960 Speaker 1: change in this world. Okay, Can I just end it 633 00:36:10,040 --> 00:36:11,759 Speaker 1: on this note? We live in this world, and this 634 00:36:11,920 --> 00:36:14,360 Speaker 1: is why I really like this show and value you 635 00:36:14,520 --> 00:36:17,839 Speaker 1: coming on this program is because there are there are 636 00:36:17,960 --> 00:36:22,400 Speaker 1: so many areas where populousts agree, and we don't have 637 00:36:22,560 --> 00:36:25,880 Speaker 1: a media landscape right now where that can be openly discussed. 638 00:36:26,239 --> 00:36:28,800 Speaker 1: So thank you for coming on. I'm headed to Vegas. 639 00:36:29,239 --> 00:36:31,719 Speaker 1: Thanks for listening. Download the Boomburg Sound on podcasts on 640 00:36:31,760 --> 00:36:34,360 Speaker 1: Apple iTunes, at Bloomberg dot com, or by downloading the 641 00:36:34,360 --> 00:36:36,080 Speaker 1: Boomburg Business app. You can also find me on Radio 642 00:36:36,120 --> 00:36:38,840 Speaker 1: dot com, I Heart Radio, and Spotify. My name is 643 00:36:38,880 --> 00:36:41,680 Speaker 1: Kevin Cirelli, Chief Washington correspondent for Bloomberg Television and Radio. 644 00:36:41,719 --> 00:36:42,800 Speaker 1: And you're listening to Bloomberg