1 00:00:00,080 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,960 --> 00:00:15,560 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Tom Keene along 3 00:00:15,600 --> 00:00:18,960 Speaker 2: with Paul Sweeney. Join us each day for insight from 4 00:00:18,960 --> 00:00:23,160 Speaker 2: the best in economics, finance, investment, and international relations. You 5 00:00:23,160 --> 00:00:26,520 Speaker 2: can also watch the show live on YouTube. Visit the 6 00:00:26,520 --> 00:00:31,280 Speaker 2: Bloomberg Podcast channel on YouTube to see the show weekday 7 00:00:31,280 --> 00:00:34,320 Speaker 2: mornings from seven to ten am Eastern from our global 8 00:00:34,360 --> 00:00:39,000 Speaker 2: headquarters in New York City. Subscribe to the podcast on Apple, Spotify, 9 00:00:39,360 --> 00:00:42,920 Speaker 2: or anywhere else you listen and always I'm Bloomberg Radio, 10 00:00:43,080 --> 00:00:48,080 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business App. Widely anticipated. 11 00:00:48,159 --> 00:00:51,639 Speaker 2: Thank you for your comments out on YouTube, and I've 12 00:00:51,640 --> 00:00:54,560 Speaker 2: seen an email as well. Joining us in his busy 13 00:00:54,640 --> 00:00:58,640 Speaker 2: day Gene Munster right now on Nvidia. He is with 14 00:00:58,720 --> 00:01:02,240 Speaker 2: Deep Water Asset Man Management Gene. Right before the earnings 15 00:01:02,240 --> 00:01:07,280 Speaker 2: idiocy yesterday afternoon, the pro stepped in Gene Monster with 16 00:01:07,440 --> 00:01:11,320 Speaker 2: I think the absolute smartest insight I've seen. We mentioned 17 00:01:11,360 --> 00:01:15,320 Speaker 2: it earlier with Man Deep Sing and that the purchasing 18 00:01:15,600 --> 00:01:19,240 Speaker 2: transaction people for Nvidia are not so much going to 19 00:01:19,280 --> 00:01:22,480 Speaker 2: play hardball, but they're going to say to their customers, 20 00:01:23,000 --> 00:01:24,720 Speaker 2: don't give me this you're not going to buy the 21 00:01:24,760 --> 00:01:28,919 Speaker 2: next revenue stream of older chips waiting for the new chip. 22 00:01:29,480 --> 00:01:30,559 Speaker 3: You don't get the new. 23 00:01:30,520 --> 00:01:33,759 Speaker 2: Chip unless you buy the old chip. Expand on that, 24 00:01:33,840 --> 00:01:34,440 Speaker 2: gene Monster. 25 00:01:34,680 --> 00:01:38,080 Speaker 4: The Osborne effect, and that of course is when you 26 00:01:38,160 --> 00:01:41,200 Speaker 4: have an existing product that is going to be replaced 27 00:01:41,200 --> 00:01:45,360 Speaker 4: by a new product, that new product is not yet available, 28 00:01:45,400 --> 00:01:51,200 Speaker 4: and historically that causes the existing product sales to dip significantly. 29 00:01:51,280 --> 00:01:54,240 Speaker 4: We see that companies over the years, they'll blow up 30 00:01:54,320 --> 00:01:57,360 Speaker 4: ahead of a new product cycle. In the case of Nvidia, 31 00:01:57,920 --> 00:02:00,400 Speaker 4: they were really astute in terms of how they have 32 00:02:00,520 --> 00:02:04,120 Speaker 4: been communicating this to customers over the past three months. 33 00:02:04,400 --> 00:02:06,760 Speaker 4: That was the time three months ago when they announced 34 00:02:06,760 --> 00:02:10,240 Speaker 4: this new Blackwell chip and they said, exactly like you mentioned, 35 00:02:10,480 --> 00:02:12,520 Speaker 4: if you guys want the new chip of this fall, 36 00:02:12,760 --> 00:02:14,919 Speaker 4: you got to keep buying ours seeing Hopper chip. And 37 00:02:15,320 --> 00:02:16,360 Speaker 4: that in fact did happen. 38 00:02:16,400 --> 00:02:18,840 Speaker 2: It worked. And I want to point out here because 39 00:02:18,919 --> 00:02:22,760 Speaker 2: gene Monster's far too young, Lisa Matteo's grandfather probably had 40 00:02:22,800 --> 00:02:26,680 Speaker 2: one the Osborne effect. It's not some NBA at Northwestern. 41 00:02:27,120 --> 00:02:30,920 Speaker 2: The Osborne effect is the Osborne computer that I spent 42 00:02:30,960 --> 00:02:34,880 Speaker 2: two four hundred and ninety five dollars on forty fifty 43 00:02:35,000 --> 00:02:39,200 Speaker 2: years ago, and Gene Muster knows that's probably fifteen thousand dollars. 44 00:02:39,480 --> 00:02:42,440 Speaker 2: I'm the only one in the world still alive actually 45 00:02:42,520 --> 00:02:44,880 Speaker 2: bought an Osbourne computer. 46 00:02:44,800 --> 00:02:45,320 Speaker 3: Gene Muster. 47 00:02:45,520 --> 00:02:48,120 Speaker 2: I went over to Nvidia yesterday and I mentioned this 48 00:02:48,160 --> 00:02:52,799 Speaker 2: to Paul Sweeney earlier that what I sense here radically 49 00:02:52,919 --> 00:02:57,720 Speaker 2: different is I don't sense ego driven tech boy in 50 00:02:57,800 --> 00:03:01,920 Speaker 2: the leadership of Nvidia. They're CFO statement, they're accounting clarity, 51 00:03:02,360 --> 00:03:05,720 Speaker 2: the stock split, the dividend lift and all that. Are 52 00:03:05,720 --> 00:03:09,880 Speaker 2: they rapidly trying to be a mature company to join 53 00:03:10,040 --> 00:03:13,120 Speaker 2: something like the Dow Jones Industrial Average. 54 00:03:13,760 --> 00:03:17,240 Speaker 4: Absolutely, I mean they are a mature company. They're going 55 00:03:17,280 --> 00:03:20,000 Speaker 4: to do over one hundred billion revenue this year, call it. 56 00:03:20,000 --> 00:03:22,399 Speaker 4: It's going to be approaching the three trillion dollar market cap, 57 00:03:22,400 --> 00:03:25,600 Speaker 4: one of the top three companies. And they're acting like it. 58 00:03:25,639 --> 00:03:28,440 Speaker 4: They do not act like people who are trying to 59 00:03:28,600 --> 00:03:33,520 Speaker 4: pump up a theme. They're being the results are backing 60 00:03:33,560 --> 00:03:36,080 Speaker 4: it up. The guidance is backing it up. They beat 61 00:03:36,120 --> 00:03:38,440 Speaker 4: a high bar by six percent, they guide it up 62 00:03:38,520 --> 00:03:42,120 Speaker 4: July by five percent, and those guidance and I think 63 00:03:42,120 --> 00:03:45,280 Speaker 4: this is a sign of a mature management team. They 64 00:03:45,360 --> 00:03:48,600 Speaker 4: keep exceeding. Over the last four quarters, they've been exceeding 65 00:03:48,760 --> 00:03:53,839 Speaker 4: those expectations, and so that discipline around guidance is yet 66 00:03:53,880 --> 00:03:56,920 Speaker 4: another example I think of how they are being mature 67 00:03:57,040 --> 00:04:00,160 Speaker 4: about this, and they got good reason to be feeling 68 00:04:00,200 --> 00:04:05,080 Speaker 4: good about things for for two reasons. One is that 69 00:04:05,120 --> 00:04:08,320 Speaker 4: they've got products that no one else has, and separately 70 00:04:08,520 --> 00:04:10,960 Speaker 4: is they're still in the early innings of what is 71 00:04:11,000 --> 00:04:14,960 Speaker 4: going to be the most breathtaking shift in technology that 72 00:04:14,960 --> 00:04:16,440 Speaker 4: we've seen in the past one hundred years. 73 00:04:17,080 --> 00:04:19,680 Speaker 5: Gene, you've been so out in front of this. You 74 00:04:19,720 --> 00:04:21,400 Speaker 5: know a lot of what I know about this AI 75 00:04:21,440 --> 00:04:23,720 Speaker 5: business I learned from you. But talk to us about 76 00:04:23,720 --> 00:04:26,680 Speaker 5: the competitive environment here. I mean, I was going to say, 77 00:04:26,680 --> 00:04:30,120 Speaker 5: they're not I mean, where are the competitors here? Can't 78 00:04:30,120 --> 00:04:32,560 Speaker 5: they come up with a chip that's comparable to compete 79 00:04:32,600 --> 00:04:35,000 Speaker 5: with these guys. 80 00:04:36,080 --> 00:04:39,520 Speaker 4: I remember, we're invested in a deep water investing with 81 00:04:39,640 --> 00:04:42,280 Speaker 4: private and public companies, and one of our private companies 82 00:04:42,680 --> 00:04:45,239 Speaker 4: builds chips, and we invest in this company, in AI 83 00:04:45,320 --> 00:04:49,440 Speaker 4: chip company, it's called Rain in twenty eighteen. And when 84 00:04:49,480 --> 00:04:52,480 Speaker 4: we think about their business, they do not sip Capex 85 00:04:52,520 --> 00:04:57,120 Speaker 4: they gulp Capex and when you think about the competitive 86 00:04:57,200 --> 00:04:59,920 Speaker 4: set here, it is really limited to a small number 87 00:05:00,080 --> 00:05:03,320 Speaker 4: of companies that can invest tens of billion dollars, billions 88 00:05:03,360 --> 00:05:06,919 Speaker 4: of dollars a year in two building these applications. And 89 00:05:07,000 --> 00:05:09,360 Speaker 4: so I think that that's one big piece. There are 90 00:05:10,680 --> 00:05:14,719 Speaker 4: kind of some glimmers of competition, most of those coming 91 00:05:14,760 --> 00:05:18,200 Speaker 4: from the hyperscalers like Google and Microsoft are working on 92 00:05:18,240 --> 00:05:20,839 Speaker 4: their own chips. But for the most part, Paul, they're 93 00:05:20,880 --> 00:05:22,600 Speaker 4: running the table. And just one more piece on the 94 00:05:22,640 --> 00:05:27,359 Speaker 4: competitive threat. Please, three years ago, Elon must talked about 95 00:05:27,360 --> 00:05:31,000 Speaker 4: their Dojo chip, their Dojo computer that was going to 96 00:05:31,040 --> 00:05:35,760 Speaker 4: power autonomy on Tesla, and yesterday during the call, the 97 00:05:36,560 --> 00:05:42,400 Speaker 4: cfo's lead comments led with both Tesla and Xai. Of course, 98 00:05:42,440 --> 00:05:48,400 Speaker 4: both my Elon companies, those embracing the Nvidia chips, and 99 00:05:48,480 --> 00:05:50,880 Speaker 4: so even the companies that want to compete with them 100 00:05:50,920 --> 00:05:54,560 Speaker 4: realize that the return on investment for video's highest. 101 00:05:54,600 --> 00:05:57,560 Speaker 2: Geane would get a really good comment, a respectful comment 102 00:05:57,600 --> 00:06:00,440 Speaker 2: out on our live chat on YouTube. Ryan, thank you 103 00:06:00,480 --> 00:06:04,080 Speaker 2: so much, and Ryan says it's a great comment. Please 104 00:06:04,200 --> 00:06:08,600 Speaker 2: move on from Nvidia. There is other news except gene Monster. 105 00:06:08,720 --> 00:06:14,040 Speaker 2: There isn't explain to Ryan and me the Nvidia effect 106 00:06:14,200 --> 00:06:17,480 Speaker 2: on everything else out there, not what it means for Microsoft, 107 00:06:17,800 --> 00:06:20,560 Speaker 2: not what it means for some tech fanboy in some 108 00:06:20,720 --> 00:06:21,920 Speaker 2: cappuccino place with. 109 00:06:21,920 --> 00:06:23,120 Speaker 3: You out on the West Coast. 110 00:06:23,480 --> 00:06:27,799 Speaker 2: What does Nvidia mean for Lisa Matteo, Ryan or Tom Keane. 111 00:06:29,720 --> 00:06:34,520 Speaker 4: In Vidia's current trajectory of the business, the just reported 112 00:06:34,560 --> 00:06:38,479 Speaker 4: April quarter means that we are moving more quickly to 113 00:06:38,720 --> 00:06:43,239 Speaker 4: artificial general intelligence. And when we hit that, the game 114 00:06:43,400 --> 00:06:47,760 Speaker 4: changes for all companies. Every information worker, every technical worker 115 00:06:47,839 --> 00:06:50,200 Speaker 4: is going to be impacted by this. And so the 116 00:06:50,279 --> 00:06:53,159 Speaker 4: reason why we're so hyper focused on what Nvidia is 117 00:06:53,160 --> 00:06:57,839 Speaker 4: doing is that they are really the leading, the very 118 00:06:57,920 --> 00:07:01,680 Speaker 4: tip indicator in terms of the speed and the rate 119 00:07:01,800 --> 00:07:03,919 Speaker 4: of change that we're going to see around AI. And 120 00:07:03,960 --> 00:07:05,200 Speaker 4: that's why it matters. 121 00:07:05,360 --> 00:07:09,920 Speaker 2: Should they replace I'm just picking the names Cisco or 122 00:07:10,000 --> 00:07:12,920 Speaker 2: Intel in the Dow Jones Industrial Average? 123 00:07:13,200 --> 00:07:15,600 Speaker 3: Is it now? This is the moment where in video 124 00:07:15,640 --> 00:07:16,720 Speaker 3: is like a doubt stock. 125 00:07:18,040 --> 00:07:18,600 Speaker 2: It should be. 126 00:07:18,640 --> 00:07:20,840 Speaker 4: I mean, this is the guard I think has changed 127 00:07:21,160 --> 00:07:23,440 Speaker 4: a couple or a year or so ago, And I 128 00:07:23,440 --> 00:07:26,360 Speaker 4: think the bigger question is do you think that this 129 00:07:26,400 --> 00:07:29,080 Speaker 4: will continue? I absolutely believe what we saw last night 130 00:07:29,120 --> 00:07:31,480 Speaker 4: as an indication that this is going to continue. I 131 00:07:31,520 --> 00:07:33,200 Speaker 4: still believe we're in the front of a three to 132 00:07:33,280 --> 00:07:35,600 Speaker 4: five year bull market powered by AI that's going to 133 00:07:35,680 --> 00:07:38,240 Speaker 4: end in a spectacular bubble. But the front end of 134 00:07:38,280 --> 00:07:41,040 Speaker 4: that that bull market is going to be quite exciting. 135 00:07:42,400 --> 00:07:46,120 Speaker 2: Let us know when the bubble's near. Geane call back. 136 00:07:47,200 --> 00:07:50,520 Speaker 2: Please let us please help Lisa with the bubble. 137 00:07:50,840 --> 00:07:53,480 Speaker 3: Gane monster out front of the bubble. Thank you so much. 138 00:07:53,520 --> 00:08:08,239 Speaker 2: With deep water asset, Benjamin, let's talk to an adult here, Yes, 139 00:08:08,280 --> 00:08:08,960 Speaker 2: particularly with. 140 00:08:08,880 --> 00:08:10,440 Speaker 3: All that's going on with nvidiot. 141 00:08:10,440 --> 00:08:14,440 Speaker 2: The new highs Nastak futures up two hundred and eight points. 142 00:08:14,520 --> 00:08:18,040 Speaker 2: Amy was Silverman is expert. I'm trying to explain the 143 00:08:18,120 --> 00:08:22,640 Speaker 2: dynamics in the nuances expectations. Amy was silverman on the 144 00:08:22,640 --> 00:08:25,640 Speaker 2: Bloomberg where we on the high ground on this. I 145 00:08:25,760 --> 00:08:30,120 Speaker 2: bring up ENVDA equity, OVDV and I can look at 146 00:08:30,120 --> 00:08:31,920 Speaker 2: the SKEW, I can look at the term, I can 147 00:08:31,920 --> 00:08:34,439 Speaker 2: look at the three D service and. 148 00:08:34,440 --> 00:08:36,200 Speaker 3: I'm really not sure what it says. 149 00:08:36,360 --> 00:08:41,120 Speaker 2: Could you use your tools to glean a nuance of 150 00:08:41,160 --> 00:08:43,680 Speaker 2: the expectations of nvidio? 151 00:08:45,640 --> 00:08:48,800 Speaker 1: Sure, good morning guys. So look, you know in video 152 00:08:48,880 --> 00:08:52,040 Speaker 1: is one that we've been watching with baited breath, obviously, 153 00:08:52,559 --> 00:08:56,160 Speaker 1: And the super interesting thing was going into earnings last night, 154 00:08:56,240 --> 00:08:58,400 Speaker 1: the options market was implying about an eight and a 155 00:08:58,440 --> 00:09:00,920 Speaker 1: half percent move. So far, we actually they haven't beaten that, 156 00:09:01,040 --> 00:09:03,240 Speaker 1: but you know, the day is young. And the second 157 00:09:03,280 --> 00:09:05,920 Speaker 1: thing I'd say was we didn't have much right tail 158 00:09:06,000 --> 00:09:09,079 Speaker 1: tom which is super interesting for in Vidio because that's 159 00:09:09,120 --> 00:09:11,160 Speaker 1: one where we've seen a lot of right tail chase. 160 00:09:11,440 --> 00:09:14,760 Speaker 1: That sentiment wasn't there. What I think we really need 161 00:09:14,800 --> 00:09:17,760 Speaker 1: to watch today is that that right tail is game 162 00:09:17,800 --> 00:09:20,520 Speaker 1: on because of everything we saw during earnings last night. 163 00:09:20,559 --> 00:09:23,240 Speaker 2: Does it fold over into the rest of the magnificent 164 00:09:23,320 --> 00:09:26,280 Speaker 2: forty two or the nastic one hundred. I mean, folks, 165 00:09:26,360 --> 00:09:29,520 Speaker 2: I think we all understand left tails gloom, right tails 166 00:09:29,520 --> 00:09:34,040 Speaker 2: a certain confidence. Does this a new regime of confidence 167 00:09:34,080 --> 00:09:35,520 Speaker 2: from the Nvidia announcement? 168 00:09:37,120 --> 00:09:39,640 Speaker 1: Yeah? Look, you know one thing we've talked about is 169 00:09:39,679 --> 00:09:42,920 Speaker 1: not just looking at the kind of OGAI names like 170 00:09:43,000 --> 00:09:45,960 Speaker 1: in Vidio, but to look at the adjacent names because 171 00:09:46,000 --> 00:09:49,480 Speaker 1: in some cases that ball is still less expensive and 172 00:09:49,720 --> 00:09:52,480 Speaker 1: you still get that right tail chase. So you know, 173 00:09:52,679 --> 00:09:54,600 Speaker 1: one thing we've been talking about is don't just look 174 00:09:54,640 --> 00:09:57,840 Speaker 1: at Nvidia, look at the other names like ADI or AMD, 175 00:09:58,120 --> 00:10:02,440 Speaker 1: Microsoft others that also have AI conference is going on, 176 00:10:02,640 --> 00:10:05,679 Speaker 1: because a lot of times you'll see that proxy correlated 177 00:10:05,760 --> 00:10:08,839 Speaker 1: move Tom of the right tail spot up volatility of 178 00:10:08,960 --> 00:10:11,880 Speaker 1: not just for Nvidia, but for that entire space when 179 00:10:12,120 --> 00:10:13,760 Speaker 1: the enthusiasm starts to bubble. 180 00:10:14,640 --> 00:10:17,640 Speaker 5: Tom Amy Moosilverman is a graduate of Prince University, So 181 00:10:17,720 --> 00:10:20,000 Speaker 5: I'm dying to ask her what her favorite sandwich is 182 00:10:20,000 --> 00:10:22,840 Speaker 5: at Hogi Haven, but I'm gonna be professional and not 183 00:10:22,960 --> 00:10:25,760 Speaker 5: go there. Amy, can you just define for this non 184 00:10:25,800 --> 00:10:29,040 Speaker 5: derivatives person what right tail and left tail is? 185 00:10:30,559 --> 00:10:32,800 Speaker 1: Sure, Okay, I have to say it's the meatball sub. 186 00:10:33,000 --> 00:10:34,720 Speaker 1: I just have to put it in there because Princeton 187 00:10:35,000 --> 00:10:37,920 Speaker 1: Princeton Reunions are this weekend, so I definitely have tigers 188 00:10:37,960 --> 00:10:42,240 Speaker 1: on my mind. But look, right tail is the idea 189 00:10:42,440 --> 00:10:46,160 Speaker 1: normal distribution of that reach for upside. You know, that's 190 00:10:46,200 --> 00:10:48,240 Speaker 1: where we see the fomo and the momo. That's where 191 00:10:48,240 --> 00:10:50,600 Speaker 1: we see the call demand. And the left tail, which 192 00:10:50,720 --> 00:10:54,360 Speaker 1: unfortunately has been dead for quite a while, is your 193 00:10:54,400 --> 00:10:58,120 Speaker 1: equity skew. It's that demand for downside protection, which apparently 194 00:10:58,200 --> 00:11:01,280 Speaker 1: these days nobody seems to want, Hey. 195 00:11:01,080 --> 00:11:03,720 Speaker 5: Amy, I'm just looking at the you know, Tom forces 196 00:11:03,800 --> 00:11:06,160 Speaker 5: us on a daily basis to look at the VICS, 197 00:11:06,280 --> 00:11:10,160 Speaker 5: and it's now below twelve, firmly below twelve. What does 198 00:11:10,200 --> 00:11:10,719 Speaker 5: that tell you? 199 00:11:12,559 --> 00:11:16,400 Speaker 1: Yeah, I think, yeah, we hit sub twelve. We're circling eleven. 200 00:11:16,880 --> 00:11:20,240 Speaker 1: You know, I'd say, look, there's two things. One, index 201 00:11:20,360 --> 00:11:24,000 Speaker 1: volatility has been quite low for some time. There are 202 00:11:24,040 --> 00:11:27,680 Speaker 1: some artificial reasons why this is happening, and there's just 203 00:11:27,720 --> 00:11:31,040 Speaker 1: some economic reasons because things look okay, because the breadth 204 00:11:31,080 --> 00:11:33,600 Speaker 1: of the market still, you know, is very much mag 205 00:11:33,640 --> 00:11:36,360 Speaker 1: seven driven, even if the breath that's doing okay. But 206 00:11:36,520 --> 00:11:39,680 Speaker 1: look the rise of zerodte, the idea that almost fifty 207 00:11:39,679 --> 00:11:42,840 Speaker 1: percent of all SPX volume these days is zero day 208 00:11:42,840 --> 00:11:45,320 Speaker 1: to xpray trading. Look, that does matter, and that is 209 00:11:45,400 --> 00:11:48,360 Speaker 1: influencing these headline numbers, because VIX is just a thirty 210 00:11:48,440 --> 00:11:51,760 Speaker 1: day weighted average of imply volt across calls and puts. 211 00:11:52,080 --> 00:11:55,040 Speaker 2: Is how do you define exuberance? I mean, financial media 212 00:11:55,080 --> 00:11:58,000 Speaker 2: people toss around exuberance. We read it from Schiller, we 213 00:11:58,040 --> 00:12:00,280 Speaker 2: read it from green Span. How does Amy wouse over 214 00:12:00,400 --> 00:12:02,120 Speaker 2: and measure exuberance? 215 00:12:03,400 --> 00:12:05,520 Speaker 1: I can actually give you the technical definition that we 216 00:12:05,640 --> 00:12:08,560 Speaker 1: use it's twenty five delta put minus twenty five delta 217 00:12:08,559 --> 00:12:12,319 Speaker 1: call implied ball over at moneyball. If that number, if 218 00:12:12,320 --> 00:12:15,840 Speaker 1: that number is inverted, right, if it goes negative, it 219 00:12:16,000 --> 00:12:19,120 Speaker 1: means that the call implied volatilities outwighing put demand. It's 220 00:12:19,120 --> 00:12:22,320 Speaker 1: something we actually look at quantitatively on a systematic basis 221 00:12:22,320 --> 00:12:23,000 Speaker 1: for signals. 222 00:12:23,160 --> 00:12:23,959 Speaker 3: Okay, what you. 223 00:12:24,040 --> 00:12:27,000 Speaker 2: Just got there, folks, is an insight into the adult 224 00:12:27,040 --> 00:12:31,480 Speaker 2: world of derivatives. They take the enthusiasm of the call up, 225 00:12:32,080 --> 00:12:35,840 Speaker 2: they take the enthusiasm of the put down, and then 226 00:12:35,880 --> 00:12:39,760 Speaker 2: they compare it to the enthusiasm at the point the 227 00:12:39,840 --> 00:12:42,840 Speaker 2: center point. I do, okay there, I think it is Sheldon. 228 00:12:43,760 --> 00:12:46,760 Speaker 2: Sheldonnatenburg's in Chicago, going time. Just shut up and let 229 00:12:46,760 --> 00:12:51,200 Speaker 2: Amy talk. Amy, what when you write your research note 230 00:12:51,240 --> 00:12:54,120 Speaker 2: for Monday or frankly to get into June thirty, what 231 00:12:54,160 --> 00:12:56,079 Speaker 2: are you going to say about the signals you see 232 00:12:56,440 --> 00:12:57,400 Speaker 2: of expectation. 233 00:12:59,040 --> 00:13:00,679 Speaker 1: You know, one thing I'm going to be running the 234 00:13:00,760 --> 00:13:03,960 Speaker 1: numbers on today is how much of that coll exuberance 235 00:13:03,960 --> 00:13:07,520 Speaker 1: which we just defined there is going skew inverted again? 236 00:13:07,640 --> 00:13:11,400 Speaker 1: Because when we get into these cycles of momentum, begets momentum. 237 00:13:11,480 --> 00:13:13,680 Speaker 1: It's very hard to stop that train. That's why it 238 00:13:13,720 --> 00:13:15,480 Speaker 1: was super interesting to me that we didn't see it 239 00:13:15,520 --> 00:13:18,920 Speaker 1: coming into Nvidia. The question now is if it will 240 00:13:19,000 --> 00:13:21,880 Speaker 1: start to inflect because you know that stock split it 241 00:13:21,920 --> 00:13:24,040 Speaker 1: really gets the retail going. It doesn't seem like it 242 00:13:24,080 --> 00:13:26,040 Speaker 1: would from a corporate finance one oh one. But we 243 00:13:26,040 --> 00:13:28,680 Speaker 1: saw the same thing happen with Tesla because you start 244 00:13:28,720 --> 00:13:30,760 Speaker 1: to get new periods of participation too. 245 00:13:31,520 --> 00:13:34,199 Speaker 5: Amy for better or worse, this is an election year. 246 00:13:34,679 --> 00:13:38,640 Speaker 5: Do you see trading patterns in your derivatives market pick 247 00:13:38,720 --> 00:13:41,480 Speaker 5: up change more for a little bit here in an 248 00:13:41,520 --> 00:13:45,160 Speaker 5: election year? Because boy, you know, depending upon who wins 249 00:13:45,160 --> 00:13:48,640 Speaker 5: in November can have an impact on financial markets broadly defined. 250 00:13:50,080 --> 00:13:53,000 Speaker 1: Yeah, look, I'll tell you one scenario that investors have 251 00:13:53,080 --> 00:13:56,840 Speaker 1: started to toss around as an exogenous risk. So it's 252 00:13:56,840 --> 00:13:59,920 Speaker 1: not the idea of if Trump or Biden wins, it's 253 00:14:00,080 --> 00:14:02,440 Speaker 1: basically the idea of a contested election. This is something 254 00:14:02,480 --> 00:14:04,920 Speaker 1: our chief strategist has talked about as well. But the 255 00:14:05,000 --> 00:14:07,800 Speaker 1: issue is when you get an actual contested election where 256 00:14:07,800 --> 00:14:11,319 Speaker 1: it is unclear who the winner is come November, then 257 00:14:11,440 --> 00:14:14,240 Speaker 1: essentially your Vick's term structure isn't pricing that right it's 258 00:14:14,240 --> 00:14:17,360 Speaker 1: pricing a hump for elections itself. It's not pricing a 259 00:14:17,400 --> 00:14:20,760 Speaker 1: two thousand style question mark. And that's where I think 260 00:14:20,800 --> 00:14:22,920 Speaker 1: we could see a pocket of volatility that isn't baked 261 00:14:22,920 --> 00:14:25,479 Speaker 1: into the left tail, and that could be concerning to investors. 262 00:14:25,720 --> 00:14:28,800 Speaker 2: Amy with Silverman, thank you so much, greatly, greatly appreciate 263 00:14:28,840 --> 00:14:31,320 Speaker 2: it this morning to reset folks. For those of you 264 00:14:31,320 --> 00:14:34,880 Speaker 2: who just joining us on applecarplay on YouTube around the nation, 265 00:14:34,960 --> 00:14:38,560 Speaker 2: Good morning, Bloomberg Radio eleven three to zero, the Vicks 266 00:14:38,760 --> 00:14:41,320 Speaker 2: under twelve eleven point six one. 267 00:14:41,360 --> 00:14:42,960 Speaker 3: That's an HOLU with Silverman number. 268 00:14:47,440 --> 00:14:51,720 Speaker 2: Wendy Schiller from Brown University joins us right now. Wendy's 269 00:14:51,760 --> 00:14:55,160 Speaker 2: a cottage industry figuring out how the Conservatives ran to 270 00:14:55,240 --> 00:14:58,520 Speaker 2: the middle to finally get elected. And it basically, you know, 271 00:14:58,640 --> 00:15:01,360 Speaker 2: back in ancient history, very old water down in flames. 272 00:15:02,040 --> 00:15:04,360 Speaker 2: And then Reagan went out anything and he lost to 273 00:15:04,440 --> 00:15:08,360 Speaker 2: Gerald Ford, and I remember that clearly. And then all 274 00:15:08,400 --> 00:15:11,640 Speaker 2: of a sudden, Reagan defeats Carter, and the whole mood 275 00:15:11,800 --> 00:15:15,880 Speaker 2: was to go out and find the Reagan Democrats for 276 00:15:16,000 --> 00:15:20,320 Speaker 2: the president. Where are the Biden Republicans? 277 00:15:20,760 --> 00:15:23,320 Speaker 6: Well, I mean the Biden Republicans are people who now 278 00:15:23,440 --> 00:15:27,040 Speaker 6: call themselves independents because they don't want to be associated 279 00:15:27,080 --> 00:15:29,320 Speaker 6: with Donald Trump. I mean, so you know, we had 280 00:15:29,360 --> 00:15:32,040 Speaker 6: independence before. We always have people who switched their votes, 281 00:15:32,200 --> 00:15:36,320 Speaker 6: but that number has grown over time, not that much, 282 00:15:36,600 --> 00:15:39,040 Speaker 6: but maybe five to eight percent. And that five and 283 00:15:39,040 --> 00:15:42,440 Speaker 6: eight percent is really after twenty sixteen, where they can't 284 00:15:42,480 --> 00:15:44,640 Speaker 6: go back and vote for Trump in twenty twenty. So 285 00:15:44,680 --> 00:15:47,120 Speaker 6: they call themselves independence, but they vote for Republicans for 286 00:15:47,160 --> 00:15:50,960 Speaker 6: Senate and House and at the state level. So that's 287 00:15:51,040 --> 00:15:54,480 Speaker 6: the bubble of people who formerly known as Republicans that 288 00:15:54,520 --> 00:15:59,120 Speaker 6: Biden wants to remind that they rejected Trump a couple 289 00:15:59,120 --> 00:16:01,440 Speaker 6: of times already our Trump want to be used in 290 00:16:01,440 --> 00:16:04,760 Speaker 6: twenty twenty two, and therefore if they should come back 291 00:16:04,800 --> 00:16:08,400 Speaker 6: to him. And you know, this is such a precarious 292 00:16:08,720 --> 00:16:11,480 Speaker 6: election in the sense that really we don't know what 293 00:16:11,520 --> 00:16:14,720 Speaker 6: it will actually hinge on in October November. Right, the 294 00:16:14,720 --> 00:16:18,960 Speaker 6: economy is generally very good, except for inflation, but very good, 295 00:16:19,240 --> 00:16:21,120 Speaker 6: and we don't see a lot of indicators that's going 296 00:16:21,200 --> 00:16:24,240 Speaker 6: to change a lot between now and November, at least 297 00:16:24,240 --> 00:16:28,080 Speaker 6: with the unemployment. Right, So what is going to be 298 00:16:28,240 --> 00:16:30,360 Speaker 6: the issue or is there even a single issue? Is 299 00:16:30,400 --> 00:16:32,840 Speaker 6: it just now multiple issues to different groups of voters. 300 00:16:33,040 --> 00:16:35,880 Speaker 2: Can you imagine Nicky Haley falls on the sword ye 301 00:16:36,080 --> 00:16:38,840 Speaker 2: decides she's going to vote for Trump. But can you imagine, 302 00:16:39,080 --> 00:16:43,720 Speaker 2: Professor Schiller, that the people that support Nicky Haley will 303 00:16:43,720 --> 00:16:46,120 Speaker 2: then go over and support President Biden. 304 00:16:46,200 --> 00:16:47,240 Speaker 3: Can you make that leap? 305 00:16:48,640 --> 00:16:51,640 Speaker 6: It all depends on how this summer unfolds with Donald Trump. 306 00:16:51,720 --> 00:16:55,280 Speaker 6: I mean, Donald Trump has been relatively restrained, either either 307 00:16:55,360 --> 00:16:58,520 Speaker 6: by court order or because his campaign is doing a 308 00:16:58,520 --> 00:17:00,640 Speaker 6: good job of that. But you can image it. That's 309 00:17:00,680 --> 00:17:03,480 Speaker 6: certainly at the convention and afterwards he's going to let 310 00:17:03,520 --> 00:17:06,520 Speaker 6: loose because he's already won the nomination again and he 311 00:17:06,560 --> 00:17:08,440 Speaker 6: thinks he's going to win. He's up in the polls. 312 00:17:08,680 --> 00:17:11,280 Speaker 6: He's not going to be controllable. And the question is 313 00:17:11,359 --> 00:17:14,000 Speaker 6: how bad does that get and what kind of vision 314 00:17:14,040 --> 00:17:18,000 Speaker 6: does that present for the future for anybody who didn't vote. 315 00:17:17,840 --> 00:17:18,320 Speaker 2: For him before? 316 00:17:18,359 --> 00:17:20,560 Speaker 6: I mean, do you really want him back? So to me, 317 00:17:20,760 --> 00:17:22,639 Speaker 6: they're still unknown. I think they're going to be the 318 00:17:22,720 --> 00:17:26,240 Speaker 6: undecided in the polling in October November, and it's undecided 319 00:17:26,240 --> 00:17:28,760 Speaker 6: about whether they're going to vote, not who they're going 320 00:17:28,800 --> 00:17:30,320 Speaker 6: to vote for. They're not going to vote for Trump. 321 00:17:30,320 --> 00:17:33,080 Speaker 6: They're not going back to Trump. So that's the thing 322 00:17:33,119 --> 00:17:36,440 Speaker 6: for Biden. But again, things like forgiving more student loans 323 00:17:36,560 --> 00:17:40,040 Speaker 6: when there are student protests is bad politics. That's just 324 00:17:40,080 --> 00:17:42,680 Speaker 6: bad politics. But Biden has not seemed to care about 325 00:17:42,720 --> 00:17:44,199 Speaker 6: that much in the last couple of years. He just 326 00:17:44,240 --> 00:17:46,080 Speaker 6: does what he thinks is the right thing to do. 327 00:17:47,640 --> 00:17:51,359 Speaker 5: So, Wendy Hear, here's a question. It's just a really 328 00:17:51,400 --> 00:17:56,000 Speaker 5: broad question. Where are the pre twenty fifteen I'm thinking 329 00:17:56,520 --> 00:17:59,960 Speaker 5: the day before former President Trump came down the escalation 330 00:18:00,280 --> 00:18:04,400 Speaker 5: at Trump Ploset. Where is that Republican Party today? 331 00:18:05,320 --> 00:18:08,520 Speaker 6: I think as a party, that party is gone. That 332 00:18:08,560 --> 00:18:13,520 Speaker 6: party is erased as a sort of functioning powerful party. 333 00:18:13,720 --> 00:18:16,240 Speaker 6: It doesn't dictate policy at the state level anymore in 334 00:18:16,240 --> 00:18:20,040 Speaker 6: state legislatures. It doesn't control the House of Representatives anymore. 335 00:18:20,359 --> 00:18:22,639 Speaker 6: There are a few holdouts in the Senate, but you 336 00:18:22,640 --> 00:18:25,960 Speaker 6: can hear the voices of the most conservative senators in Bolden. 337 00:18:26,080 --> 00:18:29,040 Speaker 6: Rick Scott just announced senator from Florida who's running for reelection. 338 00:18:29,080 --> 00:18:30,919 Speaker 6: He must be quite confident that he's going to win 339 00:18:30,960 --> 00:18:32,720 Speaker 6: that race, that he's going to put in for a 340 00:18:32,720 --> 00:18:37,119 Speaker 6: Senate majority leader against John Cornyn and John Thune are 341 00:18:37,200 --> 00:18:40,880 Speaker 6: not liberal, but they're considered more mainstream established a Republican. 342 00:18:41,160 --> 00:18:43,440 Speaker 6: But he's going to run as kind of a Trump guy. 343 00:18:43,920 --> 00:18:46,200 Speaker 6: And you can see how the Trump wing of the 344 00:18:46,240 --> 00:18:48,800 Speaker 6: party is taking over all of the mechanisms of government. 345 00:18:49,000 --> 00:18:51,840 Speaker 6: And when parties cease to control government, they cease to 346 00:18:51,880 --> 00:18:54,320 Speaker 6: be able to function and deliver for their constituents. So 347 00:18:54,560 --> 00:18:57,920 Speaker 6: that wing of the party functionally is dying. It's not dead. 348 00:18:58,320 --> 00:19:00,719 Speaker 6: So that's the big question mark whether that happened, you know. 349 00:19:00,800 --> 00:19:03,440 Speaker 6: So that's the thing that Republicans have to ask themselves. 350 00:19:03,520 --> 00:19:06,080 Speaker 6: If Trump wins again, it's the nail in the coffin 351 00:19:06,200 --> 00:19:09,520 Speaker 6: for the establishment Republican party. And that's just a fact. 352 00:19:09,840 --> 00:19:12,080 Speaker 6: So how do they how boil are they to that 353 00:19:12,160 --> 00:19:14,320 Speaker 6: version of the party. And I don't think they even 354 00:19:14,359 --> 00:19:16,080 Speaker 6: know the answer that question, all right. 355 00:19:16,160 --> 00:19:21,639 Speaker 5: So for former President Trump, it doesn't seem like any 356 00:19:21,920 --> 00:19:25,240 Speaker 5: of his legal issues, including the case in New York 357 00:19:25,280 --> 00:19:28,399 Speaker 5: City at the moment, has any real impact on his 358 00:19:28,440 --> 00:19:32,119 Speaker 5: political standing. It's just shocking to me. But is that 359 00:19:32,200 --> 00:19:32,840 Speaker 5: kind of where we are? 360 00:19:33,920 --> 00:19:37,080 Speaker 6: Well, I mean, you know, even after January sixth, I mean, 361 00:19:37,160 --> 00:19:39,040 Speaker 6: his own party sort of got mad at him, for 362 00:19:39,040 --> 00:19:41,119 Speaker 6: two weeks and then they all went tomorrow Largo and 363 00:19:41,440 --> 00:19:44,280 Speaker 6: many of them, Kevin McCarthy included, to say, okay, we 364 00:19:44,400 --> 00:19:46,520 Speaker 6: forgive you. And now they're showing up in New York 365 00:19:46,720 --> 00:19:48,479 Speaker 6: to say we're standing by you. I mean, it's a 366 00:19:48,520 --> 00:19:51,159 Speaker 6: new age of politics where there doesn't seem to be 367 00:19:51,200 --> 00:19:55,000 Speaker 6: a limit on what a politician can do without penalty 368 00:19:55,040 --> 00:19:57,960 Speaker 6: in the polls at least. But remember Donald Trump lost 369 00:19:57,960 --> 00:20:00,600 Speaker 6: the election in twenty twenty and his surrogate lost the 370 00:20:00,600 --> 00:20:03,600 Speaker 6: election in twenty twenty two, and we're forgetting that history. 371 00:20:03,840 --> 00:20:06,160 Speaker 6: So you know, the idea that he's going to win 372 00:20:06,200 --> 00:20:08,760 Speaker 6: again easily or his surrogates are going to win again easily. 373 00:20:09,119 --> 00:20:11,280 Speaker 6: That defies the last couple of years of history in 374 00:20:11,359 --> 00:20:12,480 Speaker 6: terms of our elections. 375 00:20:13,080 --> 00:20:17,880 Speaker 2: Why can't we have an election length? Like the British 376 00:20:18,200 --> 00:20:21,399 Speaker 2: professor Schiller. There's got to be some thesis at Brown 377 00:20:21,520 --> 00:20:25,880 Speaker 2: University over how do we take a three year extravaganza 378 00:20:26,600 --> 00:20:28,879 Speaker 2: and dash it down to six, seven, eight weeks? 379 00:20:28,920 --> 00:20:29,560 Speaker 3: How do we do that? 380 00:20:29,640 --> 00:20:32,359 Speaker 6: Well? So the reason I think you probably already know 381 00:20:32,440 --> 00:20:34,920 Speaker 6: the answer. I think it's rhetorical, is that the development 382 00:20:35,000 --> 00:20:37,919 Speaker 6: of mass based political parties, starting with Andrew Jackson, but 383 00:20:38,000 --> 00:20:41,080 Speaker 6: going all the way and then have parties controlling government. 384 00:20:41,119 --> 00:20:43,159 Speaker 6: As government gets bigger, there's more to control, more to 385 00:20:43,160 --> 00:20:46,880 Speaker 6: give out to your loyal, loyal people. So parties become 386 00:20:46,920 --> 00:20:49,760 Speaker 6: a business and organizations and primaries are good for the 387 00:20:49,800 --> 00:20:52,200 Speaker 6: business because then people stay in the organization. 388 00:20:52,520 --> 00:20:52,879 Speaker 3: Parties. 389 00:20:52,920 --> 00:20:54,679 Speaker 6: You know, parties say, oh you lost control, but they 390 00:20:54,720 --> 00:20:57,320 Speaker 6: control the primaries. So it builds up the party to 391 00:20:57,320 --> 00:20:59,480 Speaker 6: have the primary system. And that's why we have such 392 00:20:59,760 --> 00:21:03,720 Speaker 6: a long long campaign with Martin van Buren ran today. 393 00:21:03,720 --> 00:21:05,679 Speaker 3: Would he be a Republican or a Democrat? 394 00:21:06,880 --> 00:21:08,920 Speaker 6: Well, you know he was. It's funny because in those 395 00:21:09,000 --> 00:21:11,960 Speaker 6: days they were Democrat Republicans. So it's very confusing. But 396 00:21:12,040 --> 00:21:14,879 Speaker 6: you know, in the meantime, let's look at the signals 397 00:21:15,119 --> 00:21:17,720 Speaker 6: that we're getting from these state the state Senate races, 398 00:21:17,720 --> 00:21:20,600 Speaker 6: in other words, that US Senate races in the swing states. 399 00:21:20,960 --> 00:21:23,359 Speaker 6: Watch those and watch the poll numbers over the summer 400 00:21:23,560 --> 00:21:26,119 Speaker 6: and see if those Democrats are holding on. And if 401 00:21:26,119 --> 00:21:28,280 Speaker 6: they're holding on, there's more hope for bidden. 402 00:21:28,640 --> 00:21:33,600 Speaker 2: Wendy Schiller of Brown University truly one of our definitive textbooks. 403 00:21:33,359 --> 00:21:35,359 Speaker 3: On civics in America. 404 00:21:45,920 --> 00:21:50,200 Speaker 2: Wendy Schiller from Brown University joins us right now, Wendy's 405 00:21:50,240 --> 00:21:53,639 Speaker 2: a cottage industry figuring out how the Conservatives ran to 406 00:21:53,720 --> 00:21:57,000 Speaker 2: the middle to finally get elected. And it basically, you know, 407 00:21:57,119 --> 00:22:00,600 Speaker 2: back in ancient history, Barry Goldwater down in flames, and 408 00:22:00,640 --> 00:22:03,679 Speaker 2: then Reagan went out anything and he lost to Gerald Ford, 409 00:22:04,080 --> 00:22:07,320 Speaker 2: and I remember that clearly. And then all of a sudden, 410 00:22:07,400 --> 00:22:10,679 Speaker 2: Reagan defeats Carter, and the whole mood was to go 411 00:22:10,720 --> 00:22:16,160 Speaker 2: out and find the Reagan Democrats for the president. Where 412 00:22:16,200 --> 00:22:18,800 Speaker 2: are the Biden Republicans? 413 00:22:19,240 --> 00:22:21,800 Speaker 6: Well, I mean the Biden Republicans are people who now 414 00:22:21,920 --> 00:22:25,520 Speaker 6: call themselves independents because they don't want to be associated 415 00:22:25,560 --> 00:22:27,800 Speaker 6: with Donald Trump. I mean, so you know, we had 416 00:22:27,840 --> 00:22:30,520 Speaker 6: independence before. We always have people who switched their votes, 417 00:22:30,680 --> 00:22:34,800 Speaker 6: but that number has grown over time, not that much, 418 00:22:35,080 --> 00:22:37,520 Speaker 6: but maybe five to eight percent. And that five and 419 00:22:37,520 --> 00:22:40,920 Speaker 6: eight percent is really after twenty sixteen, where they can't 420 00:22:40,960 --> 00:22:43,119 Speaker 6: go back and vote for Trump in twenty twenty. So 421 00:22:43,160 --> 00:22:45,600 Speaker 6: they call themselves independence, but they vote for Republicans for 422 00:22:45,640 --> 00:22:49,399 Speaker 6: Senate and House and at the state level. So that's 423 00:22:49,520 --> 00:22:52,960 Speaker 6: the bubble of people who formerly known as Republicans that 424 00:22:53,000 --> 00:22:57,600 Speaker 6: Biden wants to remind that they rejected Trump a couple 425 00:22:57,600 --> 00:23:00,240 Speaker 6: of times. Already our Trump want to be is twenty 426 00:23:00,280 --> 00:23:03,640 Speaker 6: twenty two, and therefore if they should come back to him. 427 00:23:03,720 --> 00:23:07,879 Speaker 6: And you know, this is such a precarious election in 428 00:23:07,880 --> 00:23:10,280 Speaker 6: the sense that really we don't know what it will 429 00:23:10,280 --> 00:23:14,080 Speaker 6: actually hinge on in October November. Right, the economy is 430 00:23:14,160 --> 00:23:17,800 Speaker 6: generally very good, except for inflation, but very good, and 431 00:23:17,880 --> 00:23:19,760 Speaker 6: we don't see a lot of indicators that's going to 432 00:23:19,840 --> 00:23:22,760 Speaker 6: change a lot between now and November, at least with 433 00:23:22,800 --> 00:23:26,880 Speaker 6: the unemployment. Right, So what is going to be the 434 00:23:26,920 --> 00:23:28,960 Speaker 6: issue or is there even a single issue? Is it 435 00:23:29,040 --> 00:23:31,280 Speaker 6: just now multiple issues to different groups of voters. 436 00:23:31,520 --> 00:23:34,359 Speaker 2: Can you imagine Nicky Haley falls on a sword ye 437 00:23:34,560 --> 00:23:37,320 Speaker 2: decides she's going to vote for Trump. But can you imagine, 438 00:23:37,560 --> 00:23:42,200 Speaker 2: Professor Schiller, that the people that support Nicky Hayley will 439 00:23:42,200 --> 00:23:44,640 Speaker 2: then go over and support President Biden? 440 00:23:44,680 --> 00:23:45,720 Speaker 3: Can you make that leap? 441 00:23:47,119 --> 00:23:50,119 Speaker 6: It all depends on how this summer unfolds with Donald Trump. 442 00:23:50,200 --> 00:23:53,760 Speaker 6: I mean, Donald Trump has been relatively restrained, either either 443 00:23:53,840 --> 00:23:57,000 Speaker 6: by court order or because his campaign is doing a 444 00:23:57,040 --> 00:23:59,520 Speaker 6: good job of that. But you can imagine that's certainly 445 00:23:59,520 --> 00:24:02,240 Speaker 6: at the conven and afterwards he's going to let loose 446 00:24:02,480 --> 00:24:05,280 Speaker 6: because he's already won the nomination again and he thinks 447 00:24:05,280 --> 00:24:07,440 Speaker 6: he's going to win. He's up in the polls. He's 448 00:24:07,480 --> 00:24:10,040 Speaker 6: not going to be controllable. And the question is how 449 00:24:10,080 --> 00:24:12,639 Speaker 6: bad does that get and what kind of vision does 450 00:24:12,680 --> 00:24:16,320 Speaker 6: that present for the future for anybody who didn't vote 451 00:24:16,359 --> 00:24:18,240 Speaker 6: for him before? I mean, do you really want him back? 452 00:24:18,560 --> 00:24:20,919 Speaker 6: So to me, they're still unknown. I think they're going 453 00:24:20,960 --> 00:24:23,880 Speaker 6: to be the undecided in the polling in October November, 454 00:24:23,920 --> 00:24:26,720 Speaker 6: and it's undecided about whether they're going to vote, not 455 00:24:26,800 --> 00:24:28,240 Speaker 6: who they're going to vote for. They're not going to 456 00:24:28,359 --> 00:24:30,679 Speaker 6: vote for Trump. They're not going back to Trump. So 457 00:24:30,840 --> 00:24:33,720 Speaker 6: that's the thing for Biden. But again, things like forgiving 458 00:24:33,840 --> 00:24:38,040 Speaker 6: more student loans when there are student protests is bad politics. 459 00:24:38,240 --> 00:24:40,760 Speaker 6: That's just bad politics. But Biden has not seemed to 460 00:24:40,800 --> 00:24:42,440 Speaker 6: care about that much in the last couple of years. 461 00:24:42,440 --> 00:24:44,280 Speaker 6: He just does what he thinks is the right thing 462 00:24:44,320 --> 00:24:44,560 Speaker 6: to do. 463 00:24:46,119 --> 00:24:49,840 Speaker 5: So, Wendy Hear, here's a question. It's just a really 464 00:24:49,880 --> 00:24:54,480 Speaker 5: broad question. Where are the pre twenty fifteen I'm thinking 465 00:24:55,000 --> 00:24:58,720 Speaker 5: the day before former President Trump came down the escalator 466 00:24:58,760 --> 00:25:02,880 Speaker 5: at Trump Play, is it? Where is that Republican Party today? 467 00:25:03,800 --> 00:25:07,000 Speaker 6: I think as a party. That party is gone. That 468 00:25:07,040 --> 00:25:10,800 Speaker 6: party is erased as a sort of functioning, you know, 469 00:25:11,000 --> 00:25:14,320 Speaker 6: powerful party. It doesn't dictate policy at the state level 470 00:25:14,359 --> 00:25:17,200 Speaker 6: anymore in state legislatures, it doesn't control the House of 471 00:25:17,280 --> 00:25:20,560 Speaker 6: Representatives anymore. There are a few holdouts in the Senate, 472 00:25:20,840 --> 00:25:23,600 Speaker 6: but you can hear the voices of the most conservative 473 00:25:23,640 --> 00:25:26,359 Speaker 6: senators in Bolden. Rick Scott just announced senator from Florida 474 00:25:26,400 --> 00:25:28,840 Speaker 6: who's running for reelection. He must be quite confident that 475 00:25:28,880 --> 00:25:30,679 Speaker 6: he's going to win that race, that he's going to 476 00:25:30,720 --> 00:25:33,840 Speaker 6: put in for a Senate majority leader against John Cornyn 477 00:25:33,880 --> 00:25:36,919 Speaker 6: and John Thune. No, not are not liberal, but they 478 00:25:36,920 --> 00:25:40,280 Speaker 6: are considered more mainstream established a Republican. But he's going 479 00:25:40,280 --> 00:25:42,919 Speaker 6: to run as kind of a Trump guy. And you 480 00:25:42,960 --> 00:25:45,040 Speaker 6: can see how the Trump wing of the party is 481 00:25:45,080 --> 00:25:47,800 Speaker 6: taking over all of the mechanisms of government. And when 482 00:25:47,840 --> 00:25:50,640 Speaker 6: parties cease to control government, they cease to be able 483 00:25:50,640 --> 00:25:52,800 Speaker 6: to you know, function and deliver for their constituents. So 484 00:25:53,040 --> 00:25:56,400 Speaker 6: that wing of the party functionally is dying. It's not dead. 485 00:25:56,800 --> 00:25:59,199 Speaker 6: So that's the big question mark whether it happened, you know, 486 00:25:59,280 --> 00:26:01,360 Speaker 6: So that it's the thing that Republicans have to ask 487 00:26:01,400 --> 00:26:04,159 Speaker 6: themselves if Trump wins again, it's the nail in the 488 00:26:04,160 --> 00:26:08,000 Speaker 6: coffin for the establishment Republican Party. And that's just a fact. 489 00:26:08,320 --> 00:26:10,560 Speaker 6: So how do they how weil are they to that 490 00:26:10,640 --> 00:26:12,800 Speaker 6: version of the party? And I don't think they even 491 00:26:12,840 --> 00:26:14,040 Speaker 6: know the answer that question. 492 00:26:14,200 --> 00:26:14,600 Speaker 3: All right. 493 00:26:14,640 --> 00:26:20,119 Speaker 5: So for former President Trump, it doesn't seem like any 494 00:26:20,440 --> 00:26:23,720 Speaker 5: of his legal issues, including the case in New York 495 00:26:23,760 --> 00:26:26,760 Speaker 5: City at the moment, has there any real impact on 496 00:26:26,800 --> 00:26:30,480 Speaker 5: his political standing. It's just shocking to me. But is 497 00:26:30,520 --> 00:26:31,320 Speaker 5: that kind of where we are? 498 00:26:32,400 --> 00:26:32,560 Speaker 1: Well? 499 00:26:32,600 --> 00:26:35,560 Speaker 6: I mean, you know, even after January sixth, I mean, 500 00:26:35,640 --> 00:26:37,520 Speaker 6: his own party sort of got mad at him for 501 00:26:37,520 --> 00:26:39,600 Speaker 6: two weeks and then they all went tomorrow Largo and 502 00:26:39,920 --> 00:26:42,800 Speaker 6: many of them, Kevin McCarthy included, to say, okay, we 503 00:26:42,880 --> 00:26:45,000 Speaker 6: forgive you. And now they're showing up in New York 504 00:26:45,200 --> 00:26:46,959 Speaker 6: to say we're standing by you. I mean, it's a 505 00:26:47,000 --> 00:26:49,639 Speaker 6: new age of politics where there doesn't seem to be 506 00:26:49,680 --> 00:26:53,520 Speaker 6: a limit on what a politician can do without penalty 507 00:26:53,520 --> 00:26:56,440 Speaker 6: in the polls at least. But remember Donald Trump lost 508 00:26:56,440 --> 00:26:59,040 Speaker 6: the election in twenty twenty, and his surrogates lost the 509 00:26:59,080 --> 00:27:02,399 Speaker 6: election in twenty twenty, and we're forgetting that history. So 510 00:27:02,680 --> 00:27:04,960 Speaker 6: you know, the idea that he's going to win again 511 00:27:05,040 --> 00:27:07,240 Speaker 6: easily or his surrogates are going to win again easily. 512 00:27:07,600 --> 00:27:09,760 Speaker 6: That defies the last couple of years of history in 513 00:27:09,840 --> 00:27:10,960 Speaker 6: terms of our elections. 514 00:27:11,560 --> 00:27:16,399 Speaker 2: Why can't we have an election length like the British 515 00:27:16,680 --> 00:27:19,879 Speaker 2: professor Schiller. There's got to be some thesis at Brown 516 00:27:20,000 --> 00:27:24,360 Speaker 2: University over how do we take a three year extravaganza 517 00:27:25,080 --> 00:27:27,359 Speaker 2: and dash it down to six seven, eight weeks? 518 00:27:27,400 --> 00:27:28,040 Speaker 3: How do we do that? 519 00:27:28,119 --> 00:27:30,840 Speaker 6: Well? So the reason I think you probably already know 520 00:27:30,920 --> 00:27:33,440 Speaker 6: the answer. I think it's rhetorical, is that the development 521 00:27:33,480 --> 00:27:36,399 Speaker 6: of mass based political parties, starting with Andrew Jackson, but 522 00:27:36,480 --> 00:27:39,560 Speaker 6: going all the way and then have parties controlling government. 523 00:27:39,600 --> 00:27:41,639 Speaker 6: As government gets bigger, there's more to control, more to 524 00:27:41,640 --> 00:27:45,359 Speaker 6: give out to your loyal, loyal people. So parties become 525 00:27:45,400 --> 00:27:48,240 Speaker 6: a business and organizations and primaries are good for the 526 00:27:48,280 --> 00:27:51,560 Speaker 6: business because then people stay in the organization. Parties, you know, 527 00:27:51,640 --> 00:27:54,200 Speaker 6: parties stay, Oh you lost control, but they control the primaries. 528 00:27:54,480 --> 00:27:56,800 Speaker 6: So it builds up the party to have the primary system. 529 00:27:56,880 --> 00:28:00,000 Speaker 6: And that's why we have such a long, long campaign 530 00:28:00,320 --> 00:28:02,000 Speaker 6: with Martin van Buren. 531 00:28:01,760 --> 00:28:04,159 Speaker 3: Ran today, would he be a Republican or a Democrat? 532 00:28:05,359 --> 00:28:07,720 Speaker 6: Well, you know, it's funny because in those days they 533 00:28:07,720 --> 00:28:10,720 Speaker 6: were Democrat Republicans. So it's very confusing. But you know, 534 00:28:10,880 --> 00:28:13,880 Speaker 6: in the meantime, let's look at the signals that we're 535 00:28:13,920 --> 00:28:16,760 Speaker 6: getting from these the state Senate races, in other words, 536 00:28:16,760 --> 00:28:20,159 Speaker 6: that US Senate races in the swing states. Watch those 537 00:28:20,200 --> 00:28:22,440 Speaker 6: and watch the poll numbers over the summer, and see 538 00:28:22,440 --> 00:28:25,360 Speaker 6: if those Democrats are holding on. And if they're holding on, 539 00:28:25,800 --> 00:28:26,840 Speaker 6: there's more hope for Buddy. 540 00:28:27,119 --> 00:28:30,640 Speaker 2: Wendy Schiller of Brown University. Truly one of our definitive 541 00:28:30,720 --> 00:28:36,359 Speaker 2: textbooks on civics in America. 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