1 00:00:09,840 --> 00:00:13,800 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keane Jay Lee. 2 00:00:13,960 --> 00:00:17,560 Speaker 1: We bring you insight from the best in economics, finance, investment, 3 00:00:18,000 --> 00:00:23,520 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,600 --> 00:00:30,680 Speaker 1: Bloomberg dot Com, and of course, on the Bloomberg Chris Ruskin, 5 00:00:30,960 --> 00:00:34,000 Speaker 1: let's bring in right now. The politeness is, you don't 6 00:00:34,000 --> 00:00:39,879 Speaker 1: eat your lunch until the speaker's done speaking strange and 7 00:00:41,000 --> 00:00:45,600 Speaker 1: everyone else lunch. Everyone is starving, everyone wants to leave 8 00:00:45,640 --> 00:00:50,680 Speaker 1: at that point. Iple I've never understood that. I've got 9 00:00:50,680 --> 00:00:52,760 Speaker 1: to admit I don't enjoy it because everybody else does 10 00:00:52,760 --> 00:00:56,080 Speaker 1: start eating lunch. And whilst whoever it is, whether it's 11 00:00:56,120 --> 00:00:58,440 Speaker 1: the chairman or the vice chat does speak to the 12 00:00:58,480 --> 00:01:01,440 Speaker 1: Economic club in New York or you. Here is the cutlery, 13 00:01:01,800 --> 00:01:06,160 Speaker 1: the folks and knives hitting the plates for you because 14 00:01:06,160 --> 00:01:10,399 Speaker 1: we're are your polite above the organist. Can you get 15 00:01:10,440 --> 00:01:13,240 Speaker 1: to Mr Ruby, How are you doing? I'm trying. I'm 16 00:01:13,319 --> 00:01:14,960 Speaker 1: doing okay, Chris. What are you looking for from the 17 00:01:15,000 --> 00:01:18,800 Speaker 1: vice chairman likes it today? Well, he's you know, it's 18 00:01:18,840 --> 00:01:21,280 Speaker 1: kind of the Fed versus the markets. At this point, 19 00:01:21,400 --> 00:01:24,400 Speaker 1: FED funds futures pretty much are discounting one and a 20 00:01:24,440 --> 00:01:30,280 Speaker 1: half rate cuts by the December meeting. Eurodollar futures are 21 00:01:30,319 --> 00:01:32,880 Speaker 1: looking for like three rate cuts by the end of 22 00:01:33,040 --> 00:01:39,039 Speaker 1: next year. Come on the markets, twelve. The market totally disagrees, 23 00:01:39,160 --> 00:01:44,800 Speaker 1: the market. The market knows all. Yeah, I think clad Chris, 24 00:01:44,800 --> 00:01:48,000 Speaker 1: I think the problem. Well, the FED messaging on this 25 00:01:48,040 --> 00:01:50,320 Speaker 1: has been kind of messy, right, And they're gonna ask 26 00:01:50,600 --> 00:01:53,960 Speaker 1: Clarada about this, because don't forget he's the guy who 27 00:01:54,080 --> 00:01:58,080 Speaker 1: came out earlier this year and said, uh, talked about 28 00:01:58,080 --> 00:02:01,520 Speaker 1: the risk risk management style rate cuts in the nineties. 29 00:02:01,920 --> 00:02:05,160 Speaker 1: Where to me, those weren't risk risk management style just 30 00:02:05,240 --> 00:02:09,040 Speaker 1: in case rate cuts. They were done because we had 31 00:02:09,080 --> 00:02:11,920 Speaker 1: a near miss with a recession in Claire is going 32 00:02:11,960 --> 00:02:14,280 Speaker 1: to talk as he talked in his conversation with me, 33 00:02:14,400 --> 00:02:17,239 Speaker 1: and as he spoke in his conversation to Michael McKee. 34 00:02:17,280 --> 00:02:21,200 Speaker 1: Full disclosure, folks, McKee had a smarter interview. He talks 35 00:02:21,240 --> 00:02:28,119 Speaker 1: about solid economy defined solid well at the moment, what 36 00:02:28,160 --> 00:02:32,519 Speaker 1: we're creating upwards of two thousand jobs per month. We 37 00:02:32,639 --> 00:02:37,400 Speaker 1: got a three point six percent low unemployment rate. We 38 00:02:37,440 --> 00:02:40,280 Speaker 1: had three point two percent g d P. You know, 39 00:02:40,440 --> 00:02:44,520 Speaker 1: that's kind of rear view mirror stuff. But everything looks okay. 40 00:02:44,520 --> 00:02:47,120 Speaker 1: I mean, look at consumer confidence. We used to think 41 00:02:47,120 --> 00:02:50,360 Speaker 1: in the old days of FED would just open the 42 00:02:50,360 --> 00:02:53,720 Speaker 1: newspaper and say what is a consumer think? And then 43 00:02:53,800 --> 00:02:58,760 Speaker 1: vote accordingly the FED and consumer the consumers reckoning of 44 00:02:58,800 --> 00:03:02,680 Speaker 1: where current conditions are. It's the best sense to thousand 45 00:03:03,440 --> 00:03:05,520 Speaker 1: pimp Cooke column for rate cuts. Did that come up 46 00:03:05,520 --> 00:03:07,919 Speaker 1: in there? You know? Annuals Swarry, You're not something they're 47 00:03:07,919 --> 00:03:10,880 Speaker 1: looking for immediately, not something that came up yesterday, not 48 00:03:10,960 --> 00:03:14,160 Speaker 1: something they're looking for right now in the nit Chris, 49 00:03:14,160 --> 00:03:17,280 Speaker 1: What I think is interesting about consumer confidences, I don't 50 00:03:17,280 --> 00:03:20,600 Speaker 1: see it in the hard data. It's not translating into 51 00:03:20,720 --> 00:03:25,600 Speaker 1: improved economic activity at the consumer level. No, not not yet. 52 00:03:25,639 --> 00:03:28,680 Speaker 1: But we gotta wait and see retails sales. One of 53 00:03:28,680 --> 00:03:32,639 Speaker 1: the problems I guess is h car and light truck sales. 54 00:03:32,639 --> 00:03:35,160 Speaker 1: I keep going back and forth or like seventeen point 55 00:03:35,240 --> 00:03:39,320 Speaker 1: four than they're sixteen and a half. We pretty much 56 00:03:39,360 --> 00:03:41,600 Speaker 1: know for this cycle the consumer is not going to 57 00:03:41,720 --> 00:03:45,240 Speaker 1: go out and buy a lot more cars. Uh, it's 58 00:03:45,280 --> 00:03:48,280 Speaker 1: gonna stick somewhere around seventeen million annual rate. But no, 59 00:03:48,480 --> 00:03:51,720 Speaker 1: I think you could look forward to retail sales picking 60 00:03:51,760 --> 00:03:55,120 Speaker 1: up in the next couple of reports. Retail sounds can 61 00:03:55,120 --> 00:03:57,200 Speaker 1: pick up in the next couple of reports. It might 62 00:03:57,280 --> 00:04:01,640 Speaker 1: have been it was a right. There's a lot of 63 00:04:01,680 --> 00:04:05,520 Speaker 1: seasonal summertime purchases. Maybe those were delayed, but you know, 64 00:04:05,680 --> 00:04:07,880 Speaker 1: over the course of the summer, I think that consumer 65 00:04:07,880 --> 00:04:11,119 Speaker 1: has money. One more question, if we could you do 66 00:04:11,200 --> 00:04:14,480 Speaker 1: you are the best? It fed chat linked into full 67 00:04:14,520 --> 00:04:17,479 Speaker 1: faith and credit charts. What is this three month ten 68 00:04:17,560 --> 00:04:21,400 Speaker 1: year difference in yield that spread everybody's talking about it 69 00:04:21,600 --> 00:04:24,320 Speaker 1: is inversion? Like it wasn't the last twelve out of 70 00:04:24,360 --> 00:04:27,599 Speaker 1: the fourteen recessions or whatever? What does three months tend 71 00:04:27,640 --> 00:04:29,960 Speaker 1: mean to Chris Ruky? Yeah, I mean the crazy thing 72 00:04:29,960 --> 00:04:33,159 Speaker 1: about the curve is that the two year tenure is 73 00:04:33,160 --> 00:04:37,080 Speaker 1: not inverted, and most cycles two year ten years inverts 74 00:04:37,400 --> 00:04:40,200 Speaker 1: then at the last minute the three month so it's 75 00:04:40,240 --> 00:04:44,599 Speaker 1: flips that I don't know the markets are miss priced, 76 00:04:44,600 --> 00:04:47,920 Speaker 1: but that the three month tenure year. Listen to you, 77 00:04:47,880 --> 00:04:51,479 Speaker 1: you see like such an economist inverted. It inverted last 78 00:04:51,520 --> 00:04:54,680 Speaker 1: Thursday on the market a m. I thanks market for 79 00:04:54,800 --> 00:04:58,280 Speaker 1: the plug there, thank you, Mr Rupkey. Anyway, the curve 80 00:04:58,360 --> 00:05:05,160 Speaker 1: inverted last Thursday, and and that means it means recessions. 81 00:05:05,160 --> 00:05:07,800 Speaker 1: So that's what we're working off. It's gonna take ten 82 00:05:07,839 --> 00:05:09,360 Speaker 1: ye year olds have to come up to like three 83 00:05:09,360 --> 00:05:13,600 Speaker 1: point three seven. The curve's not got Chris gonna stay 84 00:05:13,640 --> 00:05:16,320 Speaker 1: in verdicts. Thank you so much, greatly, I'm kidding, thank 85 00:05:16,320 --> 00:05:18,960 Speaker 1: you so much. A really good briefing before Vice Chairman 86 00:05:19,000 --> 00:05:36,280 Speaker 1: clearitis speak. Take a listen to what Scott Marther of 87 00:05:36,440 --> 00:05:40,240 Speaker 1: PIMCO had to say about credit risk and probably the 88 00:05:40,320 --> 00:05:43,279 Speaker 1: riskiest credit market that we've ever had. And you know 89 00:05:43,360 --> 00:05:45,680 Speaker 1: it's true when you look at both the size of it, 90 00:05:46,040 --> 00:05:48,159 Speaker 1: the duration of it, and the quality aspects of it. 91 00:05:48,480 --> 00:05:51,039 Speaker 1: So there's a big vulnerability there as well as probably 92 00:05:51,080 --> 00:05:53,520 Speaker 1: the least liquid uh you know, bond market in terms 93 00:05:53,520 --> 00:05:55,200 Speaker 1: of credit markets that we've had in a long period 94 00:05:55,200 --> 00:05:58,720 Speaker 1: of time. Joe Lemington joining us now Limberg Intelligence, Director 95 00:05:58,760 --> 00:06:03,480 Speaker 1: of Credit Research, Joe, probably the riskiest corporate credit market 96 00:06:03,720 --> 00:06:07,320 Speaker 1: we've ever had. This was a catalyst for so much 97 00:06:07,360 --> 00:06:10,799 Speaker 1: conversation yesterday after Scott said this, let's get your thoughts 98 00:06:10,839 --> 00:06:12,640 Speaker 1: and then we'll start to explore a little bit further. 99 00:06:12,680 --> 00:06:14,880 Speaker 1: Your reaction, well, I think you did a great job. 100 00:06:14,960 --> 00:06:17,320 Speaker 1: John is is always the first place to start. But 101 00:06:17,400 --> 00:06:21,880 Speaker 1: I think, but I think beyond that, you know, you 102 00:06:21,920 --> 00:06:24,320 Speaker 1: are at a very interesting point in time because you 103 00:06:24,400 --> 00:06:27,880 Speaker 1: have spreads that are still quite tight. Uh. You have 104 00:06:28,080 --> 00:06:31,880 Speaker 1: a very mixed data that's out there and very bifurcated feelings. 105 00:06:32,320 --> 00:06:35,200 Speaker 1: For example, if you look internally at b I, you 106 00:06:35,279 --> 00:06:38,000 Speaker 1: have people like Ira Jersey and Carl Rickadana saying the 107 00:06:38,000 --> 00:06:40,760 Speaker 1: second half is gonna be very strong, uh, and that 108 00:06:40,920 --> 00:06:43,800 Speaker 1: yields should be going up, which if you're a PM 109 00:06:43,839 --> 00:06:46,040 Speaker 1: you'd be playing that on the short end or maybe 110 00:06:46,040 --> 00:06:48,320 Speaker 1: through high yield, but that there are other people that 111 00:06:48,360 --> 00:06:51,400 Speaker 1: think that you're headed into a recession, and if that's 112 00:06:51,440 --> 00:06:54,520 Speaker 1: the case, then you have quite a different place to 113 00:06:54,600 --> 00:06:56,480 Speaker 1: be putting your money. What I thought was really interesting, 114 00:06:56,520 --> 00:06:58,520 Speaker 1: speaking of Scott in a little bit more detail, was 115 00:06:58,600 --> 00:07:01,800 Speaker 1: this comparison between now and potentially going into the mid 116 00:07:01,839 --> 00:07:05,640 Speaker 1: two thousands, that kind of historic parallel, not because we're 117 00:07:05,640 --> 00:07:08,320 Speaker 1: about to go into recession in the here and now, 118 00:07:08,360 --> 00:07:11,120 Speaker 1: but because maybe we're about to go through that period 119 00:07:11,160 --> 00:07:14,560 Speaker 1: where the excess is build, the mistakes are made. Joe, 120 00:07:14,600 --> 00:07:16,520 Speaker 1: what do you think about that? Does that idea resonate 121 00:07:16,520 --> 00:07:18,360 Speaker 1: with you at all? Yeah? Well, as a guy that 122 00:07:18,400 --> 00:07:20,760 Speaker 1: follows Tesla and I know we often talk about the 123 00:07:20,760 --> 00:07:25,560 Speaker 1: five three percent bond that's now around nine. Um. Yeah, no, 124 00:07:25,680 --> 00:07:28,080 Speaker 1: I mean I do think mistakes are being me. I 125 00:07:28,080 --> 00:07:30,400 Speaker 1: guess you're looking at we Works as another example of 126 00:07:30,440 --> 00:07:33,080 Speaker 1: that coming to the market yesterday, and you kind of 127 00:07:33,120 --> 00:07:37,080 Speaker 1: scratch your head with these pre cash flow pre even businesses. 128 00:07:37,120 --> 00:07:39,440 Speaker 1: We don't have time in the day. We need a 129 00:07:39,480 --> 00:07:41,600 Speaker 1: long we need a long show for that one day 130 00:07:41,720 --> 00:07:44,640 Speaker 1: I I spent. Folks. It's common belief that John and 131 00:07:44,680 --> 00:07:46,800 Speaker 1: I party the moment that you know, the month of 132 00:07:46,920 --> 00:07:50,160 Speaker 1: music comes up at ten am, But actually we're working 133 00:07:50,160 --> 00:07:53,880 Speaker 1: through the day. And Bloomberg Intelligence written up in zero 134 00:07:53,960 --> 00:07:59,280 Speaker 1: Hedge had a tour de force on community based adjusted 135 00:07:59,520 --> 00:08:04,360 Speaker 1: But uh, help me with the WE Work bond offering 136 00:08:04,840 --> 00:08:09,960 Speaker 1: your interpretation of it led by our real estate people. Sure, yeah, no, 137 00:08:10,160 --> 00:08:16,240 Speaker 1: Jeff Langenbaum. Um, and uh, what I would say is that, uh, 138 00:08:16,280 --> 00:08:18,360 Speaker 1: it's a great job of marketing. Much I think in 139 00:08:18,400 --> 00:08:21,800 Speaker 1: the in the way a lot of these were not marketing. 140 00:08:22,240 --> 00:08:25,520 Speaker 1: Should somebody step in? Should some institutional guys in a 141 00:08:25,600 --> 00:08:28,600 Speaker 1: car and Topeka right now? Should he's stepping in? By 142 00:08:28,760 --> 00:08:32,040 Speaker 1: we Work paper, what's a coupon. I think they're still 143 00:08:32,080 --> 00:08:35,360 Speaker 1: determining what give me, give me, give me a touch 144 00:08:35,360 --> 00:08:38,199 Speaker 1: there six percent maybe maybe. But I think with all 145 00:08:38,240 --> 00:08:41,400 Speaker 1: of these credits, whether it's an Uber or a Tesla 146 00:08:41,760 --> 00:08:43,880 Speaker 1: or we Works, I think you have to look at 147 00:08:43,920 --> 00:08:47,520 Speaker 1: it and say, do companies that don't generate cash flow 148 00:08:47,640 --> 00:08:49,920 Speaker 1: and we know that they're not going to for several years, 149 00:08:50,920 --> 00:08:53,079 Speaker 1: can they support any sort of debt? And I think 150 00:08:53,080 --> 00:08:56,520 Speaker 1: the answer is no. So I can't see why a 151 00:08:56,600 --> 00:08:59,360 Speaker 1: PM wouldn't want to get involved with any of those situations. 152 00:08:59,360 --> 00:09:02,240 Speaker 1: Which is healthier credit market? Now start to jump into 153 00:09:02,880 --> 00:09:06,440 Speaker 1: you bring up Testa, and I think Tesla. The growth 154 00:09:06,480 --> 00:09:09,280 Speaker 1: story of Tesla was captured by the equity a couple 155 00:09:09,320 --> 00:09:12,079 Speaker 1: of years back. It was reflected in the debt, and 156 00:09:12,120 --> 00:09:13,720 Speaker 1: that was a big problem for a lot of people. 157 00:09:14,360 --> 00:09:17,120 Speaker 1: Several years later, now it was two summers ago, it 158 00:09:17,120 --> 00:09:21,280 Speaker 1: was August when Note came to market. A couple of 159 00:09:21,360 --> 00:09:23,880 Speaker 1: years later, can you sit here and say definitively that 160 00:09:23,920 --> 00:09:26,880 Speaker 1: this is a healthier credit market, but we are no 161 00:09:26,920 --> 00:09:30,080 Speaker 1: longer doing those silly things where we reflect the growth 162 00:09:30,120 --> 00:09:32,720 Speaker 1: story that should be captured by equity, but it's also 163 00:09:32,800 --> 00:09:35,480 Speaker 1: captured in the debt. Market. No, I don't. I don't 164 00:09:35,480 --> 00:09:37,640 Speaker 1: think we can join. I mean, in the case of Tesla, 165 00:09:37,679 --> 00:09:40,719 Speaker 1: I think we can say that more clearly today than 166 00:09:40,760 --> 00:09:43,120 Speaker 1: it was two years ago when we were ranting on that. 167 00:09:43,440 --> 00:09:45,480 Speaker 1: But if you look at we work, it's the same 168 00:09:45,480 --> 00:09:49,160 Speaker 1: basic story right where people are looking at at hypothetical 169 00:09:49,240 --> 00:09:53,280 Speaker 1: market valuations of the company and saying, well, it deserves 170 00:09:53,320 --> 00:09:55,920 Speaker 1: to trade at a certain place when we know that 171 00:09:55,960 --> 00:09:58,440 Speaker 1: it's going to be multiple years before it gets anywhere 172 00:09:58,440 --> 00:10:02,000 Speaker 1: close to generating any sort of cash for though Joel levingson, 173 00:10:02,400 --> 00:10:04,280 Speaker 1: Joel thinks you have to come back when you figure 174 00:10:04,280 --> 00:10:07,000 Speaker 1: out the community adjusted even I still don't understand that. 175 00:10:07,760 --> 00:10:09,920 Speaker 1: I still don't understand that. And every time I guess 176 00:10:09,960 --> 00:10:14,840 Speaker 1: mentioned I think people are judging intelligence and what they 177 00:10:14,920 --> 00:10:17,800 Speaker 1: Joel and the others and Mr lang Voon, what he 178 00:10:17,880 --> 00:10:20,120 Speaker 1: did yesterday and we worked was just a tourtive force. 179 00:10:20,240 --> 00:10:23,280 Speaker 1: It was just brilliant in the change. Joel Levinson back 180 00:10:23,280 --> 00:10:40,240 Speaker 1: Intelligence of Credit Research. Meredith Sumter joins us right now, 181 00:10:40,280 --> 00:10:43,600 Speaker 1: and this is important. She writes brilliant notes for your 182 00:10:43,640 --> 00:10:46,000 Speaker 1: age group. And this was some of our guests, not 183 00:10:46,040 --> 00:10:49,360 Speaker 1: all of our guests is not only expert on China, 184 00:10:49,600 --> 00:10:54,440 Speaker 1: but understands not the King's English, but maybe President she's 185 00:10:54,559 --> 00:10:58,440 Speaker 1: uh Mandarin. I was chastised this morning by one of 186 00:10:58,440 --> 00:11:01,480 Speaker 1: our listeners in Mayfair because I said Chinese language instead 187 00:11:01,520 --> 00:11:06,360 Speaker 1: of Mandarin as well. So I've been practicing, Meredith, Joe 188 00:11:06,559 --> 00:11:10,600 Speaker 1: is weak. Neon is year? Did I get that right? Neon? 189 00:11:10,679 --> 00:11:17,280 Speaker 1: Am I doing? Okay? Close? You know what do you want? 190 00:11:17,320 --> 00:11:21,240 Speaker 1: We're sumker, good luck, Meredith. Meredith. The President is scheduled 191 00:11:21,280 --> 00:11:24,000 Speaker 1: to speak here this morning, is on his way to Colorado, 192 00:11:24,080 --> 00:11:27,800 Speaker 1: to the United States Air Force Academy in Colorado Springs. 193 00:11:28,640 --> 00:11:34,040 Speaker 1: And how do they interpret in the Chinese language the 194 00:11:34,080 --> 00:11:41,560 Speaker 1: Trump bluster, the Trump discourse, how does that translate into Mandarin? Well, actually, 195 00:11:41,760 --> 00:11:46,640 Speaker 1: originally before I would say this latest escalation in tariffs, 196 00:11:46,640 --> 00:11:48,880 Speaker 1: and also that the move to place halfway on the 197 00:11:48,960 --> 00:11:53,000 Speaker 1: entity list, which really is a game changer for Beijing, 198 00:11:53,480 --> 00:11:56,720 Speaker 1: I would say that the Trump was actually somewhat popular 199 00:11:56,800 --> 00:11:59,960 Speaker 1: with the Chinese people. Um they see him as ta 200 00:12:00,040 --> 00:12:03,400 Speaker 1: fund is standing up for US interests. But it's also 201 00:12:03,440 --> 00:12:06,320 Speaker 1: safe to say that that the U. S. President has 202 00:12:06,360 --> 00:12:08,560 Speaker 1: now crossed a line with the Chinese. And as we 203 00:12:08,559 --> 00:12:12,840 Speaker 1: are speaking earlier, Tom, we are watching very closely a 204 00:12:13,000 --> 00:12:15,720 Speaker 1: lessening of moderation on the Chinese side and an uptick 205 00:12:15,800 --> 00:12:19,880 Speaker 1: in nationalism that is not just in propaganda, but you're 206 00:12:19,920 --> 00:12:23,319 Speaker 1: also beginning to see a sense from the Chinese people 207 00:12:23,360 --> 00:12:25,880 Speaker 1: on wave wall and other sort of social media channels 208 00:12:25,920 --> 00:12:28,040 Speaker 1: that they're beginning to feel like they're being bullied and 209 00:12:28,040 --> 00:12:32,240 Speaker 1: they're not listening to the viable concerns on the U 210 00:12:32,320 --> 00:12:37,160 Speaker 1: S side that this economic relationship between the two the 211 00:12:37,200 --> 00:12:40,520 Speaker 1: world's too largest economies, needs to be rebalanced and rejiggered 212 00:12:40,559 --> 00:12:42,880 Speaker 1: for the twenty one century. A lot of people trying 213 00:12:42,880 --> 00:12:46,800 Speaker 1: to understand what that means for economic activity within the country. Meredith, 214 00:12:47,200 --> 00:12:50,560 Speaker 1: and whether there could be a boycott of US products 215 00:12:50,559 --> 00:12:53,440 Speaker 1: and services. What's your read of that situation at the moment. 216 00:12:53,920 --> 00:12:58,040 Speaker 1: I think there's certainly an increasing risk of that, and 217 00:12:58,040 --> 00:13:01,559 Speaker 1: and really I think watching what happens with Huawei is 218 00:13:01,720 --> 00:13:04,720 Speaker 1: the key here. It's really that the focal point that 219 00:13:04,800 --> 00:13:10,920 Speaker 1: the Chinese are are using to to gauge US intent 220 00:13:11,200 --> 00:13:17,440 Speaker 1: towards China. So if Huawei is essentially brought to its 221 00:13:17,520 --> 00:13:19,520 Speaker 1: knees in a way that it will no longer be 222 00:13:19,600 --> 00:13:24,960 Speaker 1: a successful global Chinese telecommunications company, you can expect that 223 00:13:25,000 --> 00:13:31,400 Speaker 1: Beijing itself will find ways to reciprocate, but even more interestingly, 224 00:13:31,520 --> 00:13:34,920 Speaker 1: watch what the public does, because the risk here not 225 00:13:34,960 --> 00:13:37,840 Speaker 1: only for the US, but also for Beijing, UH is 226 00:13:37,880 --> 00:13:42,600 Speaker 1: that if sentiment becomes nationalists to the point where Beijing 227 00:13:42,600 --> 00:13:46,360 Speaker 1: can no longer control that, then it goes from Beijing 228 00:13:46,400 --> 00:13:49,880 Speaker 1: being able to finally dial up or dial down escalation 229 00:13:49,960 --> 00:13:52,840 Speaker 1: with the US according to its plan, to Beijing no 230 00:13:52,920 --> 00:13:55,200 Speaker 1: longer being in full control of how its own people, 231 00:13:55,360 --> 00:13:58,760 Speaker 1: how the Chinese people are responding, so that the risks 232 00:13:58,760 --> 00:14:03,080 Speaker 1: to UM high profile US companies in China, I would say, 233 00:14:03,160 --> 00:14:05,240 Speaker 1: is certainly on the rise. How close do you think 234 00:14:05,240 --> 00:14:08,800 Speaker 1: we are? So that's hipping point Meredith, Well, so the 235 00:14:09,360 --> 00:14:14,040 Speaker 1: with Huawei, the US issued a ninety day temporary general license, 236 00:14:14,200 --> 00:14:18,080 Speaker 1: but already we're beginning to see strains on that company 237 00:14:18,120 --> 00:14:23,000 Speaker 1: with um other it's global trading partners, it's global um 238 00:14:23,120 --> 00:14:26,760 Speaker 1: UM business partners are beginning to to step away from 239 00:14:26,840 --> 00:14:31,760 Speaker 1: that company. Uh. So what to watch now between now 240 00:14:31,800 --> 00:14:35,000 Speaker 1: and say the G twenty, crucially is whether or not 241 00:14:35,120 --> 00:14:38,440 Speaker 1: there is any back channel that is opened or even 242 00:14:38,480 --> 00:14:41,720 Speaker 1: a front channel between Trump and She to do something 243 00:14:41,720 --> 00:14:45,120 Speaker 1: about Huawei, to to come to a deal with Huawei, 244 00:14:46,080 --> 00:14:51,520 Speaker 1: and absent that, we're unlikely to see a productive or 245 00:14:51,560 --> 00:14:55,920 Speaker 1: constructive conversation. Happened at the G twenty uh in Osaka 246 00:14:56,040 --> 00:14:58,480 Speaker 1: at the end of June. That's the last best chance 247 00:14:59,040 --> 00:15:02,440 Speaker 1: for both sides to avert and onward escalation from here. 248 00:15:02,640 --> 00:15:05,000 Speaker 1: What is a calculus right now between the leader of 249 00:15:05,160 --> 00:15:07,640 Speaker 1: China and his communist party. I'm going to use the 250 00:15:07,640 --> 00:15:10,720 Speaker 1: word pollet burro as an amateur, but what is the 251 00:15:10,840 --> 00:15:13,400 Speaker 1: dynamic you see among the leadership of China. I know 252 00:15:13,440 --> 00:15:20,560 Speaker 1: there's a huge mystery their meredith, but is there something new? Surprise? Really? 253 00:15:20,640 --> 00:15:24,960 Speaker 1: Huawei was the nuclear option. They expected that there would 254 00:15:25,000 --> 00:15:28,800 Speaker 1: be onward pressure from from President Trump, and I would 255 00:15:28,800 --> 00:15:31,280 Speaker 1: say that that the way that the US government has 256 00:15:31,320 --> 00:15:35,120 Speaker 1: come out against Huawei by placing the company on its 257 00:15:35,200 --> 00:15:38,920 Speaker 1: entity list in addition to the executive order, has really 258 00:15:38,960 --> 00:15:41,800 Speaker 1: caught Beijing unaware, and it took them several days to 259 00:15:41,840 --> 00:15:44,600 Speaker 1: sort of collect their thoughts and first and foremost gauge 260 00:15:45,200 --> 00:15:48,520 Speaker 1: what has to be done to save that company and 261 00:15:48,520 --> 00:15:51,760 Speaker 1: then what is politically feasible for Shijianping to do. So 262 00:15:52,080 --> 00:15:54,600 Speaker 1: what we're hearing is that Chinese are basically telling Washington 263 00:15:55,280 --> 00:15:57,880 Speaker 1: we're not interested in talking at all about trade or 264 00:15:57,880 --> 00:16:01,800 Speaker 1: about economic relations with you until the White issue is resolved. 265 00:16:02,040 --> 00:16:05,560 Speaker 1: And to my knowledge, there is at this point no 266 00:16:05,720 --> 00:16:08,480 Speaker 1: meeting between Trump and She officially scheduled for g twenty, 267 00:16:08,560 --> 00:16:12,240 Speaker 1: and no active communication channel between the two on a 268 00:16:12,280 --> 00:16:15,320 Speaker 1: way forward with either Huawei or with the broadest or 269 00:16:15,360 --> 00:16:19,320 Speaker 1: economic relationship. Is what you're discussing priced in the markets. 270 00:16:19,360 --> 00:16:22,800 Speaker 1: I know that's not your razor group question, but do 271 00:16:22,880 --> 00:16:26,680 Speaker 1: you perceive that the Western zeitgeist is up to speed 272 00:16:26,720 --> 00:16:30,960 Speaker 1: with your razor groups? Caution No, No, And I think 273 00:16:31,000 --> 00:16:35,520 Speaker 1: systematically we've seen markets sort of under bake the risk 274 00:16:35,760 --> 00:16:40,440 Speaker 1: that we see moving forward in this relationship. Meredith has 275 00:16:40,440 --> 00:16:43,360 Speaker 1: been really interested to see how financial markets respond, how 276 00:16:43,400 --> 00:16:47,640 Speaker 1: investors react to commentary and state media. I think to 277 00:16:47,680 --> 00:16:50,520 Speaker 1: a certain degree, and you can define to what extent 278 00:16:50,960 --> 00:16:53,400 Speaker 1: the perception of shin a stounce in this tride dispute 279 00:16:53,480 --> 00:16:56,760 Speaker 1: is being shaped almost exclusively at the moment by commentary 280 00:16:56,760 --> 00:16:59,400 Speaker 1: and state media. Do you think that gives us an 281 00:16:59,440 --> 00:17:04,040 Speaker 1: accurate picture of what is actually happening. That's a fascinating 282 00:17:04,119 --> 00:17:09,560 Speaker 1: question here, um, and I would say that that broadly accurate, probably, 283 00:17:10,480 --> 00:17:14,280 Speaker 1: But key here is that uh in the past, Beijing 284 00:17:14,320 --> 00:17:17,960 Speaker 1: would use its state media to focus this messaging on 285 00:17:18,000 --> 00:17:21,399 Speaker 1: its domestic population, and they used a separate channel to 286 00:17:21,840 --> 00:17:24,520 Speaker 1: message to the global audience. But now that you have 287 00:17:24,600 --> 00:17:27,720 Speaker 1: so many of us, non non Chinese who are paying 288 00:17:27,720 --> 00:17:32,080 Speaker 1: attention to to um state propaganda and state media, we 289 00:17:32,119 --> 00:17:35,720 Speaker 1: are reading messages that Beijing might be intending for domestic audience, 290 00:17:35,800 --> 00:17:38,000 Speaker 1: not a global audience. And there's a key difference there. 291 00:17:38,320 --> 00:17:40,880 Speaker 1: Meredith helped me here. This is really important. I'm taking 292 00:17:41,440 --> 00:17:46,080 Speaker 1: uh introductory Chinese with Anthony from Sparta, and here's my 293 00:17:46,200 --> 00:17:52,520 Speaker 1: first sentence. Meredith, help me with the pronunciation woe en fongloa, 294 00:17:53,280 --> 00:17:57,040 Speaker 1: which is I took a day off yesterday? Like whoa 295 00:17:57,680 --> 00:18:01,800 Speaker 1: is I right? Well? Yeah? Whoa close up? Yes? Whoa 296 00:18:03,200 --> 00:18:06,720 Speaker 1: war Tom? You and I were gonna work on tones together, 297 00:18:07,520 --> 00:18:09,920 Speaker 1: some great dumplings. Well, I did this at a bar 298 00:18:10,000 --> 00:18:14,200 Speaker 1: in Shanghai with cash flow, and I flunked. Every time 299 00:18:14,280 --> 00:18:16,840 Speaker 1: when you reach Chinese, it sounds like a speaking French. 300 00:18:17,400 --> 00:18:21,240 Speaker 1: Really well, I was in the French quarter when we 301 00:18:21,320 --> 00:18:26,400 Speaker 1: did shots. Every time I miss pronounced something, We're gonna 302 00:18:26,480 --> 00:18:33,720 Speaker 1: let you run, whoa shoot eat Angia, I took a 303 00:18:33,840 --> 00:18:37,800 Speaker 1: day off yesterday? What a great first sentence for learning 304 00:18:37,840 --> 00:18:42,320 Speaker 1: Chicks the fund getting slammed down by she is so good. 305 00:18:43,840 --> 00:18:46,560 Speaker 1: I can't say enough on the briefing notes from you 306 00:18:46,640 --> 00:19:03,760 Speaker 1: raise your group on China. They've been just brilliant. This 307 00:19:03,840 --> 00:19:05,960 Speaker 1: is a joy, and this is odd. As you know, 308 00:19:06,080 --> 00:19:09,480 Speaker 1: there are four thousand, seven hundred people running for president 309 00:19:09,520 --> 00:19:12,439 Speaker 1: of the Democratic Party, and it is good to have 310 00:19:12,520 --> 00:19:16,160 Speaker 1: someone dark in the door who's a little bit different 311 00:19:16,320 --> 00:19:19,920 Speaker 1: as all of you know, whatever your political persuasion. Uh, 312 00:19:19,960 --> 00:19:22,680 Speaker 1: there is a small matter that Democrats have to take 313 00:19:22,840 --> 00:19:28,199 Speaker 1: territory and votes where the Republicans live. The Cook Report 314 00:19:28,280 --> 00:19:33,600 Speaker 1: puts Montana at a our plus eleven wal to wald 315 00:19:33,640 --> 00:19:39,040 Speaker 1: Trump Heights from Bozeman to Grizzly Park, whatever it's called 316 00:19:39,080 --> 00:19:41,920 Speaker 1: up there in the northern border. The governor of Montana 317 00:19:42,000 --> 00:19:46,240 Speaker 1: joins us now, Stephen Bullock, who is a really interesting 318 00:19:46,359 --> 00:19:49,840 Speaker 1: guy because it's so out of touch here you are 319 00:19:49,880 --> 00:19:52,040 Speaker 1: in your state of the state a few years ago. 320 00:19:52,680 --> 00:19:56,440 Speaker 1: We need each other if we are going to make progress. 321 00:19:57,080 --> 00:20:00,280 Speaker 1: You don't have a chance. How are you How are 322 00:20:00,320 --> 00:20:02,920 Speaker 1: you gonna run for president? How are you going to 323 00:20:03,000 --> 00:20:08,600 Speaker 1: gain traction within this this vast Democratic party in a 324 00:20:08,680 --> 00:20:11,480 Speaker 1: polarized time? How do you get the message across you know? 325 00:20:11,880 --> 00:20:14,320 Speaker 1: And Tom first, thanks for having me, Tom and Paul. 326 00:20:14,400 --> 00:20:16,879 Speaker 1: But it is a polarized time. Look, I'm the only 327 00:20:16,960 --> 00:20:19,920 Speaker 1: one in this field that actually one in a Trump state. 328 00:20:20,080 --> 00:20:25,480 Speaker 1: In two thousand sixteen, Uh, Donald Trump took Montana by 329 00:20:25,560 --> 00:20:30,200 Speaker 1: twenty one points. I won by four of my voters 330 00:20:30,240 --> 00:20:32,760 Speaker 1: voted for Donald Trump. If we don't win back some 331 00:20:32,880 --> 00:20:35,440 Speaker 1: of the places that we lost in two thousand sixteen, 332 00:20:36,200 --> 00:20:38,520 Speaker 1: this guy is gonna be president. But I've also my 333 00:20:38,600 --> 00:20:43,840 Speaker 1: legislature six Republican and we've been able to do everything 334 00:20:44,080 --> 00:20:48,800 Speaker 1: from have a fair tax system to investing in education 335 00:20:48,840 --> 00:20:52,840 Speaker 1: and getting healthcare for a hundred thousand Montana's to Medicaid expansion. 336 00:20:53,240 --> 00:20:55,200 Speaker 1: And if we don't actually, you know, the whole goal 337 00:20:55,240 --> 00:20:57,639 Speaker 1: of this isn't just a win, it's actually a governed 338 00:20:58,000 --> 00:21:02,800 Speaker 1: Montana State University. They're the only place in Montana where 339 00:21:02,800 --> 00:21:05,560 Speaker 1: there are socialists. We know that. I mean it's to 340 00:21:05,640 --> 00:21:08,359 Speaker 1: the left of the they of course, is like COMI 341 00:21:08,440 --> 00:21:12,280 Speaker 1: three oh two. Okay, Well, how do you respond to 342 00:21:12,400 --> 00:21:17,280 Speaker 1: the democratic socialists that won't listen to southwest Pennsylvania or 343 00:21:17,359 --> 00:21:22,520 Speaker 1: from Montana across the entire state, And you respond to it. Yeah. Look, look, 344 00:21:22,680 --> 00:21:25,720 Speaker 1: I am capitalist, but I think the capitalist system doesn't 345 00:21:25,720 --> 00:21:28,000 Speaker 1: always work right now when tax laws are being written, 346 00:21:28,000 --> 00:21:30,080 Speaker 1: when a Senator literally says, we have to do this 347 00:21:30,119 --> 00:21:33,000 Speaker 1: to make our donors happy, or we can't even talk 348 00:21:33,080 --> 00:21:36,440 Speaker 1: about climate change anymore because the outside influence of dollars. 349 00:21:36,840 --> 00:21:39,680 Speaker 1: We have to fix some things, but that doesn't mean 350 00:21:39,840 --> 00:21:45,720 Speaker 1: necessarily abandoning what our country has always been founded on. Well, Governoren, 351 00:21:45,760 --> 00:21:47,840 Speaker 1: what we saw certainly in the congressional elections on the 352 00:21:47,880 --> 00:21:50,000 Speaker 1: Democratic side that we took the House but very much 353 00:21:50,160 --> 00:21:52,560 Speaker 1: moved to the left for the Democrats. Do you think 354 00:21:52,560 --> 00:21:56,640 Speaker 1: a centrist all Bill Clinton ken win a the primary 355 00:21:56,640 --> 00:21:59,280 Speaker 1: and be the general election? Sharon, Look, I'm in many 356 00:21:59,320 --> 00:22:02,880 Speaker 1: ways when comes to healthcare and getting actually things done. 357 00:22:02,920 --> 00:22:05,480 Speaker 1: When it comes to getting dark money out of our elections, 358 00:22:05,520 --> 00:22:09,280 Speaker 1: I'd say I'm more progressive than anybody else, or as 359 00:22:09,320 --> 00:22:11,520 Speaker 1: progressive as anybody else in the field. When it comes 360 00:22:11,560 --> 00:22:14,439 Speaker 1: to actual accomplishments. I'm also you know, as a governor, 361 00:22:14,480 --> 00:22:17,760 Speaker 1: I've had to balance a budget. So there are some 362 00:22:17,840 --> 00:22:21,400 Speaker 1: conservative elements where I'll look at a tax cut and say, well, 363 00:22:21,440 --> 00:22:23,800 Speaker 1: are we really putting this on our kids and grandkids? 364 00:22:24,040 --> 00:22:26,000 Speaker 1: Or I'll look at plants and say, well, how are 365 00:22:26,040 --> 00:22:27,960 Speaker 1: we going to pay for it? I think what most 366 00:22:27,960 --> 00:22:31,080 Speaker 1: folks want, any Democrats want, is somebody that can win 367 00:22:31,200 --> 00:22:34,800 Speaker 1: and then start getting things done. And the values of 368 00:22:34,920 --> 00:22:38,720 Speaker 1: everybody ought to have access to healthcare, education, ought to 369 00:22:38,760 --> 00:22:42,720 Speaker 1: be affordable. Those same values are I think what both 370 00:22:42,800 --> 00:22:47,160 Speaker 1: unites the Democratic Party but is transcends beyond that. How 371 00:22:47,240 --> 00:22:51,280 Speaker 1: did you get Trump votes in Montana? You don't look Republican, 372 00:22:51,440 --> 00:22:55,719 Speaker 1: You don't you don't walk republican, your entourage is not Republican. 373 00:22:56,000 --> 00:22:58,040 Speaker 1: How did you get What did you do in the diner? 374 00:22:58,560 --> 00:23:00,399 Speaker 1: You know, Fox News goes out to the diner and 375 00:23:00,440 --> 00:23:02,679 Speaker 1: doesn't touchy feeling thing. What did you do to the 376 00:23:02,720 --> 00:23:06,159 Speaker 1: diner two hundred miles west of Bozeman to get that 377 00:23:06,240 --> 00:23:08,600 Speaker 1: Trump vote? And first of all, I actually show up 378 00:23:08,600 --> 00:23:11,000 Speaker 1: at the diner and not You know, we're getting to 379 00:23:11,040 --> 00:23:12,840 Speaker 1: the point where I don't have the luxury of just 380 00:23:12,880 --> 00:23:15,960 Speaker 1: going to pockets of blue in Montana expecting folks to win. 381 00:23:16,280 --> 00:23:19,600 Speaker 1: I listen, I try to understand where they are now. 382 00:23:19,640 --> 00:23:21,879 Speaker 1: Folks don't agree with me on every issue, But if 383 00:23:21,920 --> 00:23:24,320 Speaker 1: I can turn around and say healthcare is important for 384 00:23:24,359 --> 00:23:27,159 Speaker 1: a community, because if we lose that rural hospital, that 385 00:23:27,240 --> 00:23:30,919 Speaker 1: town's gone, then they'll get over this issue of Obamacare. 386 00:23:31,560 --> 00:23:35,440 Speaker 1: Does policy work? I mean, I mean uh. Paul Sweeney 387 00:23:35,440 --> 00:23:38,480 Speaker 1: mentions President Clinton the ultimate policy want up all time, 388 00:23:38,480 --> 00:23:41,359 Speaker 1: and yet he'd always go back to the visceral to 389 00:23:41,440 --> 00:23:47,760 Speaker 1: get things done. Our Democratic candidates now over policying versus 390 00:23:47,920 --> 00:23:51,359 Speaker 1: talking to the emotion and the residents that we heard 391 00:23:51,640 --> 00:23:55,720 Speaker 1: from President Obama and President Trump. Well, I think that 392 00:23:55,880 --> 00:24:00,280 Speaker 1: the emotion and the values everyone and that's demo crats 393 00:24:00,280 --> 00:24:02,800 Speaker 1: are Republicans want to save community, They want to roof 394 00:24:02,920 --> 00:24:06,600 Speaker 1: over their head. They don't want to have economic anxiety, 395 00:24:06,680 --> 00:24:08,440 Speaker 1: you know, they want a decent job, the one good 396 00:24:08,440 --> 00:24:11,199 Speaker 1: public schools, clean air, clean water, the belief you can 397 00:24:11,240 --> 00:24:14,320 Speaker 1: do better for your kids and grandkids than yourself. And 398 00:24:14,359 --> 00:24:16,800 Speaker 1: I think that transcends both the Democratic Party, but it 399 00:24:16,840 --> 00:24:19,600 Speaker 1: also transcends a lot of voters that ought to be 400 00:24:19,760 --> 00:24:22,600 Speaker 1: with us along the way. If they're really voting their 401 00:24:22,600 --> 00:24:26,600 Speaker 1: economic or their healthcare or their educational interests. So covernor 402 00:24:26,640 --> 00:24:29,040 Speaker 1: I know this is is the beginning of a long process. 403 00:24:29,080 --> 00:24:32,080 Speaker 1: Few and for the other twenty some odd candidates for 404 00:24:32,119 --> 00:24:36,040 Speaker 1: the Democratic primary, how do you get how do you 405 00:24:36,119 --> 00:24:38,960 Speaker 1: stand out and particularly against you know, someone has a 406 00:24:39,000 --> 00:24:40,879 Speaker 1: better name recognition, whether it be at Joe Biden or 407 00:24:40,920 --> 00:24:44,320 Speaker 1: Bernie Sounders, it's Bloomberg Radio. That's what's going to change 408 00:24:44,320 --> 00:24:46,840 Speaker 1: to their all for me, Paul. Now that that and 409 00:24:46,880 --> 00:24:50,159 Speaker 1: look it is still even a feel the thirty seven 410 00:24:50,280 --> 00:24:53,879 Speaker 1: or hundred and twelve or twenty three. You know, the 411 00:24:53,920 --> 00:24:56,959 Speaker 1: early States are going to sort out things. So I 412 00:24:57,000 --> 00:24:59,920 Speaker 1: think that in those early states, me showing up making 413 00:25:00,040 --> 00:25:02,520 Speaker 1: those connections along the way. Let's go back four years ago. 414 00:25:03,040 --> 00:25:06,120 Speaker 1: Scott Walker was polling number one, Jeb Bush was polling 415 00:25:06,280 --> 00:25:08,640 Speaker 1: number two. So there's a lot of time to make 416 00:25:08,720 --> 00:25:11,680 Speaker 1: the case of that we need to not only bring 417 00:25:11,680 --> 00:25:13,960 Speaker 1: out our base, but also bring some of these voters back. 418 00:25:14,080 --> 00:25:15,840 Speaker 1: We need to get to the point where we can 419 00:25:15,880 --> 00:25:18,360 Speaker 1: actually get things done, and we gotta get washing DC 420 00:25:18,560 --> 00:25:22,119 Speaker 1: working for us. Which state matters for you? The early States? 421 00:25:22,119 --> 00:25:24,720 Speaker 1: Which one is really the one you're focused on? Russ? 422 00:25:24,840 --> 00:25:27,800 Speaker 1: Is this I ask a rude question. Not not not 423 00:25:27,880 --> 00:25:30,000 Speaker 1: at all. And I'm only two weeks in because my 424 00:25:30,080 --> 00:25:32,119 Speaker 1: legislature was still going on and had to get my 425 00:25:32,200 --> 00:25:35,199 Speaker 1: job done. But I had like a real job through 426 00:25:35,359 --> 00:25:38,439 Speaker 1: the rest of them. Are you behind myself? That's I 427 00:25:38,560 --> 00:25:40,119 Speaker 1: make a joke about it. But do you feel like 428 00:25:40,119 --> 00:25:45,480 Speaker 1: you're behind in the campaigning? That's sick? Where are Yeah? Yeah, 429 00:25:45,520 --> 00:25:47,720 Speaker 1: in some respects because people are already saying all the 430 00:25:47,720 --> 00:25:50,000 Speaker 1: pollings here and the numbers are here. But I did 431 00:25:50,119 --> 00:25:53,080 Speaker 1: have you know, if I had jumped in two months ago, 432 00:25:53,119 --> 00:25:55,239 Speaker 1: when my legislature was still going on, I wouldn't been 433 00:25:55,280 --> 00:25:57,720 Speaker 1: able to freeze college tuition. I wouldn't have been able 434 00:25:57,760 --> 00:26:00,679 Speaker 1: to get foreign money out of our elections. Well be 435 00:26:00,840 --> 00:26:06,320 Speaker 1: frozen college tuition. I've frozen college tuition six of my years. 436 00:26:06,400 --> 00:26:08,840 Speaker 1: We have the fourth lowest tuition fees in the nation. 437 00:26:08,920 --> 00:26:11,960 Speaker 1: That's not by starving our universities. That's by putting additional 438 00:26:12,080 --> 00:26:16,520 Speaker 1: state dollars into the system. And the way can you 439 00:26:16,560 --> 00:26:19,040 Speaker 1: like talk to the other four institutions. Paul and I 440 00:26:19,080 --> 00:26:26,359 Speaker 1: are dealing with your get what's the pixie does he has? 441 00:26:28,240 --> 00:26:31,360 Speaker 1: State of Colorado just wrote a big check to the university. Yeah, 442 00:26:31,359 --> 00:26:32,960 Speaker 1: and and part of that when I was pitching in 443 00:26:33,000 --> 00:26:36,399 Speaker 1: that legislature, I said, you increase college tuition. That's a 444 00:26:36,520 --> 00:26:40,560 Speaker 1: tax on about forty Montana's right, folks that actually need that. 445 00:26:40,760 --> 00:26:44,800 Speaker 1: So but I don't think it's too late a couple 446 00:26:44,800 --> 00:26:48,199 Speaker 1: of weeks in I've made number of trips to Iowa. 447 00:26:48,440 --> 00:26:52,520 Speaker 1: I was in New Hampshire before announced, long before us 448 00:26:52,560 --> 00:26:54,960 Speaker 1: in South Carolina. So that's where I'll start. Who's your 449 00:26:55,040 --> 00:26:58,160 Speaker 1: running mate? I mean, let's cut to the chase, un mate, 450 00:26:58,160 --> 00:27:00,400 Speaker 1: you get out front of it a little early for that, Tom, 451 00:27:00,400 --> 00:27:06,600 Speaker 1: but look, I want somebody Tuesday compliment my skills and values, 452 00:27:06,680 --> 00:27:09,480 Speaker 1: have a different life experience, and step in if anything 453 00:27:09,480 --> 00:27:11,160 Speaker 1: ever happened. I mean, there's a lot of good folks 454 00:27:11,160 --> 00:27:12,560 Speaker 1: in the field, but I think it's a little early 455 00:27:12,560 --> 00:27:14,119 Speaker 1: to figure out one. So I like to wrap up 456 00:27:14,119 --> 00:27:16,560 Speaker 1: her interviews well, like, what did we learn in this interview? 457 00:27:16,640 --> 00:27:21,600 Speaker 1: Steve Bullock frozen tuition? Okay, thank you, Governor of the 458 00:27:21,640 --> 00:27:24,600 Speaker 1: state of Montana. We'll be hearing much more, I'm sure 459 00:27:24,640 --> 00:27:30,280 Speaker 1: about Governor Bullock here in the coming days. Thanks for 460 00:27:30,359 --> 00:27:34,760 Speaker 1: listening to the Bloomberg Surveillance podcast. Subscribe and listen to 461 00:27:34,920 --> 00:27:40,639 Speaker 1: interviews on Apple Podcasts, SoundCloud, or whichever podcast platform you prefer. 462 00:27:41,200 --> 00:27:44,560 Speaker 1: I'm on Twitter at Tom Keane before the podcast, you 463 00:27:44,560 --> 00:28:00,520 Speaker 1: can always catch us worldwide. I'm Bloomberg Radio