1 00:00:00,600 --> 00:00:04,120 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,480 Speaker 1: today's best minds, and Elon Musk has lifted Donald Trump's 4 00:00:11,520 --> 00:00:15,680 Speaker 1: Twitter van. We have a wild show for you today. 5 00:00:16,320 --> 00:00:19,840 Speaker 1: Congresson Mondair Jones stops by to talk to us about 6 00:00:19,920 --> 00:00:23,160 Speaker 1: the changes the New York political machine needs to make 7 00:00:23,239 --> 00:00:26,799 Speaker 1: to ensure the Democrats future dominance. Then we talked to 8 00:00:26,840 --> 00:00:31,560 Speaker 1: ABC News political director Rick Kleine about the mid terms 9 00:00:31,640 --> 00:00:35,559 Speaker 1: unexpected outcomes. But first we have the host of the 10 00:00:35,680 --> 00:00:39,919 Speaker 1: podcast Okay Computer on the tape and market Watch, who 11 00:00:39,960 --> 00:00:45,440 Speaker 1: all is a squawk Box contributor, Dan Nathan. Welcome to 12 00:00:45,720 --> 00:00:49,720 Speaker 1: Fast Politics, Dan Nathan, Molly John Fast, Thanks for having 13 00:00:49,760 --> 00:00:52,760 Speaker 1: me back. Well, it's always a delight and there's so 14 00:00:52,880 --> 00:00:55,920 Speaker 1: much to talk about. And first I think we should 15 00:00:55,920 --> 00:00:57,800 Speaker 1: talk about even though the mid terms are a couple 16 00:00:57,840 --> 00:01:01,520 Speaker 1: of weeks in the rear view, we are still in 17 00:01:01,560 --> 00:01:05,160 Speaker 1: this interesting period when a lot of people thought Americans 18 00:01:05,200 --> 00:01:08,920 Speaker 1: would vote on the economy or their you know, their 19 00:01:09,000 --> 00:01:13,120 Speaker 1: fantasy of the economy or whatever that was. They didn't 20 00:01:13,600 --> 00:01:17,959 Speaker 1: And I'm curious to know are you surprised? And furthermore, 21 00:01:18,600 --> 00:01:21,480 Speaker 1: what is happening right now with the economy. Yeah, so 22 00:01:21,560 --> 00:01:24,240 Speaker 1: interestingly enough, I mean, I think that there was so 23 00:01:24,319 --> 00:01:28,040 Speaker 1: much concern over the prices of just kind of goods 24 00:01:28,040 --> 00:01:31,160 Speaker 1: and services and just the increase kind of year over year, right, 25 00:01:31,160 --> 00:01:33,479 Speaker 1: So that would be the term inflation that a lot 26 00:01:33,520 --> 00:01:36,479 Speaker 1: of Americans have been feeling, you know, in the aftermath 27 00:01:36,680 --> 00:01:39,080 Speaker 1: I guess of the pandemic. And if you think about UM, 28 00:01:39,120 --> 00:01:42,960 Speaker 1: a lot of what our government did, whether it be UM, Congress, 29 00:01:43,000 --> 00:01:46,360 Speaker 1: the White House, the US Federal Reserve during the pandemic 30 00:01:46,480 --> 00:01:49,560 Speaker 1: is they kind of flooded the zone with monetary and 31 00:01:49,640 --> 00:01:52,520 Speaker 1: fiscal stimulus. They wanted to make sure companies didn't go 32 00:01:52,560 --> 00:01:55,200 Speaker 1: out of business so they could keep people employed, and 33 00:01:55,200 --> 00:01:57,400 Speaker 1: they wanted to make sure that households were okay, right, 34 00:01:57,440 --> 00:02:00,000 Speaker 1: And so they got through the pandemic for the most 35 00:02:00,080 --> 00:02:03,080 Speaker 1: art I think, pretty decently. But then we kind of 36 00:02:03,160 --> 00:02:06,240 Speaker 1: hit the kind of pedal to the metal again last 37 00:02:06,320 --> 00:02:08,760 Speaker 1: year with some more fiscal stimulus, and that really caused 38 00:02:08,800 --> 00:02:12,040 Speaker 1: an increase in UM inflationary pressures. But that was also 39 00:02:12,120 --> 00:02:15,720 Speaker 1: caused by China zero COVID policy, by broken supply chains, 40 00:02:15,760 --> 00:02:18,919 Speaker 1: and then obviously the war UM in Europe. So I guess, 41 00:02:18,960 --> 00:02:21,040 Speaker 1: you know, when we have this kind of numbers, we 42 00:02:21,080 --> 00:02:23,920 Speaker 1: had forty year high readings and inflation, I think a 43 00:02:23,919 --> 00:02:27,720 Speaker 1: lot of people thinking about how mid term elections usually 44 00:02:27,760 --> 00:02:30,600 Speaker 1: go right for a first term president, do you have 45 00:02:30,639 --> 00:02:33,320 Speaker 1: about economy? It's usually lights out right, And I think 46 00:02:33,360 --> 00:02:35,839 Speaker 1: that was kind of overtaking a lot of the kind 47 00:02:35,840 --> 00:02:38,160 Speaker 1: of you know, thoughts about you know, what's going to 48 00:02:38,240 --> 00:02:41,440 Speaker 1: dominate at least voters interest, and so in the aftermath, 49 00:02:41,639 --> 00:02:43,880 Speaker 1: I think what's really important to kind of recognize the 50 00:02:43,919 --> 00:02:47,480 Speaker 1: fact is that, yes, we have forty year high inflation readings. 51 00:02:47,520 --> 00:02:50,240 Speaker 1: I think everybody economists and I think just a lot 52 00:02:50,240 --> 00:02:52,640 Speaker 1: of market strategists and people who just kind of follow 53 00:02:52,680 --> 00:02:56,200 Speaker 1: this stuff politically. Also, we're pretty safe to kind of 54 00:02:56,200 --> 00:02:59,520 Speaker 1: guess that inflation readings were going to peak sometime soon, right, 55 00:02:59,600 --> 00:03:02,720 Speaker 1: And so here we are. That's what we're seeing, um 56 00:03:02,800 --> 00:03:05,760 Speaker 1: right now. And so I guess the point is is 57 00:03:05,800 --> 00:03:08,120 Speaker 1: that this could actually set up really nicely Molly, if 58 00:03:08,160 --> 00:03:11,000 Speaker 1: you think about it, if all of these rate increases 59 00:03:11,040 --> 00:03:15,480 Speaker 1: to battle inflation. Right, So we've had mortgage prices go up, um, 60 00:03:15,520 --> 00:03:18,240 Speaker 1: and that could be a near term phenomenon. The economy 61 00:03:18,280 --> 00:03:21,760 Speaker 1: could be setting up Okay, if we get through let's say, 62 00:03:21,760 --> 00:03:27,080 Speaker 1: the second half of into four for this incumbent president 63 00:03:27,200 --> 00:03:30,600 Speaker 1: and because this this kind of red wave never materialized here, 64 00:03:30,720 --> 00:03:34,440 Speaker 1: so again, the economy might be doing okay, or at 65 00:03:34,520 --> 00:03:36,440 Speaker 1: least a lot better than I think a lot of 66 00:03:36,440 --> 00:03:39,520 Speaker 1: politicians or voters thought as they headed into the midterm. 67 00:03:39,600 --> 00:03:42,480 Speaker 1: Part of that is anxiety. It's I want to say, 68 00:03:42,480 --> 00:03:46,920 Speaker 1: it's like Carter anxiety right the seventies world period with 69 00:03:46,960 --> 00:03:50,080 Speaker 1: a lot of inflation, and you know, it ended up 70 00:03:50,200 --> 00:03:53,640 Speaker 1: ending the Carter presidency. And I feel like every time 71 00:03:53,680 --> 00:03:56,920 Speaker 1: people talk about inflation, or at least me in my mind, 72 00:03:57,080 --> 00:03:59,280 Speaker 1: I go right back to Carter and I feel like 73 00:03:59,360 --> 00:04:02,040 Speaker 1: that angs it kind of permeated the narrative to a 74 00:04:02,040 --> 00:04:05,000 Speaker 1: certain extent totally because we had this oil crisis right 75 00:04:05,000 --> 00:04:07,040 Speaker 1: there was so much focus on oil because that's the 76 00:04:07,040 --> 00:04:10,080 Speaker 1: thing that most um, you know, individual consumers, they feel 77 00:04:10,080 --> 00:04:12,320 Speaker 1: the pinchet. But I also say, this is really important 78 00:04:12,320 --> 00:04:15,080 Speaker 1: part of this is that you know, we had unemployment 79 00:04:15,280 --> 00:04:17,560 Speaker 1: down to three and a half percent. This was before 80 00:04:17,640 --> 00:04:20,680 Speaker 1: the pandemic, and where is it unemployment right now? It's 81 00:04:20,680 --> 00:04:23,400 Speaker 1: only at three point seven percent. It just picked up 82 00:04:23,400 --> 00:04:25,960 Speaker 1: a little bit. So after we saw unemployment shoot up 83 00:04:26,040 --> 00:04:28,599 Speaker 1: during the pandemic, it came right back down to those 84 00:04:28,640 --> 00:04:31,120 Speaker 1: pre pandemic levels. So I guess the good news for 85 00:04:31,160 --> 00:04:33,880 Speaker 1: the economy is that we had a pretty decent savings 86 00:04:34,000 --> 00:04:36,320 Speaker 1: rate for consumers, so their balance sheets were in good 87 00:04:36,400 --> 00:04:39,440 Speaker 1: order coming out of the pandemic, and we didn't see unemployment, 88 00:04:39,720 --> 00:04:42,560 Speaker 1: you know, shoot up very dramatically right now, and that's 89 00:04:42,600 --> 00:04:44,320 Speaker 1: kind of the last piece of the puzzle that the 90 00:04:44,440 --> 00:04:47,440 Speaker 1: US FED is kind of focused on as they think 91 00:04:47,480 --> 00:04:51,040 Speaker 1: about their battle with inflation. They've raised interest rates dramatically, 92 00:04:51,080 --> 00:04:53,400 Speaker 1: so FED fund futures. This is the interest rate, the 93 00:04:53,440 --> 00:04:56,279 Speaker 1: short term interest rate that the US Federal Reserve controls. 94 00:04:56,560 --> 00:04:59,839 Speaker 1: They've raised it basically three percent over the last four meetings, 95 00:04:59,880 --> 00:05:02,360 Speaker 1: is the fastest increase ever. And that's why you've seen 96 00:05:02,600 --> 00:05:05,560 Speaker 1: mortgage rates go up pretty dramatically. But you've also seen 97 00:05:05,600 --> 00:05:07,599 Speaker 1: a lot of housing data come in, so they wanted 98 00:05:07,640 --> 00:05:10,479 Speaker 1: to cool off some of these asset bubbles a little bit. 99 00:05:10,600 --> 00:05:13,200 Speaker 1: And I guess the silver lining is if they can 100 00:05:13,240 --> 00:05:17,440 Speaker 1: do this without the like, without unemployment going up meaningfully, 101 00:05:17,600 --> 00:05:20,880 Speaker 1: then that would be again a good situation for the economy. 102 00:05:20,920 --> 00:05:24,599 Speaker 1: As we get into let's say the backside of the 103 00:05:24,640 --> 00:05:27,360 Speaker 1: one thing I think is probably a near certainty there 104 00:05:27,400 --> 00:05:30,360 Speaker 1: will be a recession. But I guess the point is 105 00:05:30,440 --> 00:05:33,560 Speaker 1: that that happens at some point at least the things 106 00:05:33,560 --> 00:05:35,800 Speaker 1: that I look at this stuff through the lens of 107 00:05:35,800 --> 00:05:38,920 Speaker 1: the markets, they will have already discounted that at some point, 108 00:05:39,120 --> 00:05:41,520 Speaker 1: right So we could be in a recession right now 109 00:05:41,560 --> 00:05:43,919 Speaker 1: and not know it, and by the time we realize 110 00:05:43,960 --> 00:05:46,159 Speaker 1: that we could be out of it correct and then 111 00:05:46,200 --> 00:05:48,040 Speaker 1: also if we're able to do that in a manner 112 00:05:48,080 --> 00:05:50,640 Speaker 1: where unemployment doesn't go up meaningfully. But I guess the 113 00:05:50,640 --> 00:05:53,000 Speaker 1: next part of this, you know equation is is that 114 00:05:53,120 --> 00:05:56,320 Speaker 1: notion of stagflation you just mentioned Carter in the late 115 00:05:56,400 --> 00:05:59,880 Speaker 1: seventies and what that did for his presidency. Stagflation is 116 00:05:59,880 --> 00:06:03,760 Speaker 1: a situation where prices of goods and services have gone up. 117 00:06:03,960 --> 00:06:06,400 Speaker 1: They can come off their highs, which I expect that 118 00:06:06,480 --> 00:06:10,000 Speaker 1: to happen with this situation, but you have lower growth, right, 119 00:06:10,040 --> 00:06:12,960 Speaker 1: and so if you have higher prices and lower growth, 120 00:06:13,000 --> 00:06:16,040 Speaker 1: it makes for a really, like the name says, just 121 00:06:16,080 --> 00:06:19,280 Speaker 1: a stagnant environment. So um, again, it's not like we're 122 00:06:19,279 --> 00:06:21,480 Speaker 1: gonna come out of this pandemic and we're gonna have 123 00:06:21,480 --> 00:06:23,760 Speaker 1: this rip oring economy which a lot of people thought 124 00:06:23,760 --> 00:06:26,080 Speaker 1: we were gonna have. We might go back to the 125 00:06:26,080 --> 00:06:29,799 Speaker 1: pre pandemic growth GDP growth domestic the product was averaging 126 00:06:29,839 --> 00:06:32,840 Speaker 1: about two point two percent, which is not great, it's 127 00:06:32,880 --> 00:06:34,880 Speaker 1: not bad or whatever, but it was also in and 128 00:06:34,880 --> 00:06:38,520 Speaker 1: around where inflation wasn't about two percent, and so at 129 00:06:38,560 --> 00:06:40,240 Speaker 1: the end of the day, we just might be in 130 00:06:40,279 --> 00:06:42,640 Speaker 1: an economy that saddled with a lot of debt that 131 00:06:42,720 --> 00:06:45,120 Speaker 1: was there to help, um, you know, kind of make 132 00:06:45,160 --> 00:06:47,760 Speaker 1: sure we could stay afloat during the pandemic. Then we 133 00:06:47,800 --> 00:06:50,040 Speaker 1: had inflationary pressures on the way out of it. That 134 00:06:50,120 --> 00:06:53,000 Speaker 1: seems very likely if you put so much you know, 135 00:06:53,240 --> 00:06:55,880 Speaker 1: capital to a problem like this, you're gonna have an 136 00:06:55,880 --> 00:06:59,080 Speaker 1: increase in prices. So, you know, we juste is not 137 00:06:59,120 --> 00:07:01,320 Speaker 1: going to be a great year for the economy. It's 138 00:07:01,320 --> 00:07:03,560 Speaker 1: not probably gonna be a great year for markets, but 139 00:07:03,600 --> 00:07:07,320 Speaker 1: it could also be a really good digestion year considering 140 00:07:07,360 --> 00:07:09,760 Speaker 1: the prior three years that we've been in with also 141 00:07:10,200 --> 00:07:13,520 Speaker 1: the dismantling of some major forces. If you think about 142 00:07:13,720 --> 00:07:19,360 Speaker 1: this whole deglobalization and our reliance on cheap foreign labor 143 00:07:19,520 --> 00:07:23,520 Speaker 1: and supply chains oriented around China, that's coming apart right now, 144 00:07:23,600 --> 00:07:26,200 Speaker 1: and that's also inflationary well. And also it's going to 145 00:07:26,360 --> 00:07:30,080 Speaker 1: be less bad than we thought it would be, which 146 00:07:30,200 --> 00:07:32,800 Speaker 1: I think is the important data point. Right. But you know, 147 00:07:32,920 --> 00:07:37,440 Speaker 1: the US government, the US consumer, US manufacturing, we made 148 00:07:37,480 --> 00:07:40,160 Speaker 1: a deal with if you can call it, the devil 149 00:07:40,520 --> 00:07:44,000 Speaker 1: you know, forty fifty years ago about focused on cheap labor, 150 00:07:44,040 --> 00:07:47,120 Speaker 1: about jobs that supposedly Americans did want to do. And 151 00:07:47,520 --> 00:07:49,880 Speaker 1: what did that do well? That we got cheaper goods, right, 152 00:07:49,920 --> 00:07:52,480 Speaker 1: And so that's something that's been going on um for 153 00:07:52,520 --> 00:07:55,160 Speaker 1: a long time now. If you think about it's not 154 00:07:55,200 --> 00:07:57,720 Speaker 1: just supply chains, but it's also energy as as a 155 00:07:57,800 --> 00:08:00,680 Speaker 1: point of national security. I think that's something that we're 156 00:08:00,680 --> 00:08:03,320 Speaker 1: going to come out of this period and think, you know, 157 00:08:03,760 --> 00:08:05,720 Speaker 1: you know, maybe that's right. And I will tell you this. 158 00:08:05,840 --> 00:08:09,400 Speaker 1: You probably haven't heard me compliment um the prior president 159 00:08:09,480 --> 00:08:11,720 Speaker 1: too much. I mean, I don't think the way in 160 00:08:11,760 --> 00:08:15,120 Speaker 1: which they put the trade war in place with China. 161 00:08:15,240 --> 00:08:17,560 Speaker 1: I didn't like how they did that, okay, but I 162 00:08:17,600 --> 00:08:19,960 Speaker 1: think they were right on a lot of issues there, 163 00:08:20,000 --> 00:08:21,520 Speaker 1: you know. And I think that if you just think 164 00:08:21,560 --> 00:08:24,440 Speaker 1: about the Biden administration, they have not kind of backed 165 00:08:24,480 --> 00:08:26,560 Speaker 1: off a lot of those tariffs that we've had and 166 00:08:26,600 --> 00:08:29,280 Speaker 1: some of the issues that we've had, they've been much tougher. 167 00:08:29,320 --> 00:08:31,280 Speaker 1: I know that you spent some time talking about this 168 00:08:31,320 --> 00:08:34,000 Speaker 1: in your podcast, but the export band of advanced chips, 169 00:08:34,240 --> 00:08:36,320 Speaker 1: you know, from the US to China. I mean that 170 00:08:36,440 --> 00:08:39,000 Speaker 1: was like a major, major shot across the bottle, right. 171 00:08:39,040 --> 00:08:42,760 Speaker 1: And also they're bringing manufacturing back to the United States 172 00:08:42,880 --> 00:08:47,040 Speaker 1: right there, building the you know, factories they're encouraging. So 173 00:08:47,080 --> 00:08:48,960 Speaker 1: the Chips Act was a great example. I mean, this 174 00:08:49,080 --> 00:08:51,480 Speaker 1: is fifty plus billion dollars. You know, a lot of 175 00:08:51,480 --> 00:08:54,320 Speaker 1: people think it was corporate welfare. They wanted to incentivize 176 00:08:54,400 --> 00:08:57,280 Speaker 1: US chip makers to kind of make those factories here, 177 00:08:57,320 --> 00:09:00,280 Speaker 1: employee workers here. Again, the problem is is that if 178 00:09:00,280 --> 00:09:03,480 Speaker 1: you make iPhones that already cost about a thousand dollars 179 00:09:03,640 --> 00:09:06,679 Speaker 1: to consumers, you make them here and you reorient your 180 00:09:06,720 --> 00:09:10,000 Speaker 1: supply chains here. Okay, in the West, those iPhones they're 181 00:09:10,000 --> 00:09:11,880 Speaker 1: gonna be a lot more expensive. And then the last 182 00:09:11,920 --> 00:09:15,079 Speaker 1: part of this whole inflation piece is that once wages 183 00:09:15,120 --> 00:09:17,920 Speaker 1: start to go up, which is really what's happened here 184 00:09:17,920 --> 00:09:20,400 Speaker 1: over because we have a shortage right now and obviously 185 00:09:20,400 --> 00:09:22,760 Speaker 1: there's a huge immigration issue. So we have a shortage 186 00:09:22,800 --> 00:09:25,560 Speaker 1: of workers, and if we have a shortage of skilled workers, 187 00:09:25,720 --> 00:09:27,360 Speaker 1: I mean demand for them is going to go up 188 00:09:27,480 --> 00:09:29,800 Speaker 1: and then those wages are gonna stick. And that's a 189 00:09:29,880 --> 00:09:34,480 Speaker 1: really difficult scenario for corporation, especially US multinationals who have 190 00:09:34,559 --> 00:09:38,040 Speaker 1: actually gotten really used to cheap foreign labor. Matt green Field, 191 00:09:38,120 --> 00:09:40,960 Speaker 1: my long surferings past, was talking about in an inverse 192 00:09:41,480 --> 00:09:44,440 Speaker 1: yield curve and I pretended I know, I knew what 193 00:09:44,440 --> 00:09:49,760 Speaker 1: he was talking about. Pain. Yeah, So so we just 194 00:09:49,800 --> 00:09:52,600 Speaker 1: talked about how quickly the US Federal Reserve is raising 195 00:09:52,640 --> 00:09:54,480 Speaker 1: interest rates. And one of the things they're trying to 196 00:09:54,520 --> 00:09:57,960 Speaker 1: do there is kind of tamped down asset bubble. So 197 00:09:58,080 --> 00:10:00,960 Speaker 1: if rates are higher, the cost of money is higher, 198 00:10:01,000 --> 00:10:05,160 Speaker 1: and therefore, you know, valuations on assets should be lower 199 00:10:05,200 --> 00:10:08,079 Speaker 1: in that scenario. So they were unusually low to battle 200 00:10:08,320 --> 00:10:11,720 Speaker 1: the pandemic, right we just talked about, so they've raised 201 00:10:11,760 --> 00:10:14,760 Speaker 1: them kind of quickly. So if you look at inverted 202 00:10:14,840 --> 00:10:17,880 Speaker 1: yield curve, really what it's signaling is the two year 203 00:10:18,040 --> 00:10:21,640 Speaker 1: US Treasury yield is above the tenure yield, and that 204 00:10:21,679 --> 00:10:24,720 Speaker 1: shouldn't be Shorter term money should not have a higher 205 00:10:24,720 --> 00:10:27,160 Speaker 1: interest rate than longer term money. Just just think about it. 206 00:10:27,160 --> 00:10:29,920 Speaker 1: Really simply, ten years is a lot more time for 207 00:10:30,000 --> 00:10:31,839 Speaker 1: things that you're wrong and maybe you don't pay that 208 00:10:32,160 --> 00:10:35,079 Speaker 1: um that debt instrument back two years is a shorter 209 00:10:35,120 --> 00:10:37,800 Speaker 1: period of time. But the two year is reflecting what 210 00:10:37,840 --> 00:10:40,320 Speaker 1: the Federal Reserve has done and what they're saying about 211 00:10:40,320 --> 00:10:43,400 Speaker 1: how they're going to battle inflation. And therefore the ten 212 00:10:43,480 --> 00:10:46,920 Speaker 1: year yield is more reflective of potential growth in the 213 00:10:47,280 --> 00:10:50,640 Speaker 1: in the future. So the two ten spread that's inverted 214 00:10:50,679 --> 00:10:53,400 Speaker 1: to the tune of the two year treasury yield being 215 00:10:53,480 --> 00:10:56,480 Speaker 1: higher than the ten is saying stag inflation. And I 216 00:10:56,559 --> 00:10:58,360 Speaker 1: know that may seem like a lot maybe that kind 217 00:10:58,360 --> 00:11:02,040 Speaker 1: of puts together the conversation and we just had. But basically, 218 00:11:02,440 --> 00:11:05,840 Speaker 1: lower long term growth is what the two ten spread 219 00:11:05,960 --> 00:11:09,400 Speaker 1: inverted means. And the two year being higher right now 220 00:11:09,600 --> 00:11:12,240 Speaker 1: is just suggesting that, um, you know, the FET is 221 00:11:12,240 --> 00:11:14,720 Speaker 1: going to stay the course on higher interest rates. And 222 00:11:14,760 --> 00:11:17,640 Speaker 1: I guess the point that also makes is that inverted 223 00:11:17,679 --> 00:11:21,040 Speaker 1: yield curve like this, to Matt's point, has almost every 224 00:11:21,040 --> 00:11:25,120 Speaker 1: single time that's happened resulted in a recession, or excuse me, 225 00:11:25,160 --> 00:11:27,760 Speaker 1: put differently, every recession that we have had in the 226 00:11:27,840 --> 00:11:31,239 Speaker 1: last call it sixty years or show has been preceded 227 00:11:31,240 --> 00:11:34,640 Speaker 1: by a two ten yield curve inverting. Right. That was 228 00:11:34,720 --> 00:11:36,400 Speaker 1: when we were talking about whether or not there was 229 00:11:36,440 --> 00:11:38,199 Speaker 1: going to be a recession. He said, well, the yield 230 00:11:38,240 --> 00:11:40,800 Speaker 1: curve is inverted. And I wanted to ask him but 231 00:11:41,000 --> 00:11:43,520 Speaker 1: lost interest. But I'm glad you answered that question and 232 00:11:43,559 --> 00:11:46,320 Speaker 1: now our listeners can know all about the inverseil curve. 233 00:11:46,480 --> 00:11:49,440 Speaker 1: Let's talk about my favorite subject, and it's actually quickly 234 00:11:49,480 --> 00:11:52,000 Speaker 1: not becoming my favorite subject. To the death of Twitter. 235 00:11:52,360 --> 00:11:54,320 Speaker 1: I never thought he would go through with it. Now 236 00:11:54,360 --> 00:11:56,960 Speaker 1: he's gone through with it. Now he seems I mean, 237 00:11:57,679 --> 00:12:00,679 Speaker 1: he seems like he's just desperate to destroy it unless 238 00:12:00,679 --> 00:12:02,960 Speaker 1: you can explain to me, I mean, explain to me 239 00:12:03,040 --> 00:12:05,800 Speaker 1: what's happening here. Well, it's from my point of view, 240 00:12:05,960 --> 00:12:08,640 Speaker 1: I mean, I think he the guy tried to fix 241 00:12:08,679 --> 00:12:12,280 Speaker 1: the Ukraine. Um, you know, warred in Russia. He's not 242 00:12:12,320 --> 00:12:15,360 Speaker 1: a political science He scientists. He claims that, you know, 243 00:12:15,720 --> 00:12:18,480 Speaker 1: he's a rocket scientist. He's not one of that. He's 244 00:12:18,520 --> 00:12:21,400 Speaker 1: not that either, right, So here he is now, you know, 245 00:12:21,520 --> 00:12:23,920 Speaker 1: he's like you've been following all this stuff about all 246 00:12:23,920 --> 00:12:25,760 Speaker 1: this coding and stuff. He's not. He's not a he's 247 00:12:25,800 --> 00:12:28,640 Speaker 1: not a computer scientist. Yeah, it's just really kind of funny, right. 248 00:12:28,720 --> 00:12:30,680 Speaker 1: I think he really thinks he's got a god complex. 249 00:12:30,679 --> 00:12:32,679 Speaker 1: I really think he thinks he can fix this thing. 250 00:12:32,880 --> 00:12:35,720 Speaker 1: I think the most important thing is that Jack Dorsey, 251 00:12:35,760 --> 00:12:38,439 Speaker 1: who was the founder of this company, two time CEO, 252 00:12:38,520 --> 00:12:41,720 Speaker 1: who was CEO a little more than a year ago, Okay, 253 00:12:41,760 --> 00:12:44,720 Speaker 1: before he gave up the reins of that, he was 254 00:12:44,840 --> 00:12:47,920 Speaker 1: running this company into the ground, being the CEO of 255 00:12:47,960 --> 00:12:50,719 Speaker 1: two companies, Square which was one of them, and then 256 00:12:50,760 --> 00:12:54,240 Speaker 1: Twitter was the other. So so this company monetizes their 257 00:12:54,360 --> 00:12:57,360 Speaker 1: user base at at a much you know, worse rate 258 00:12:57,480 --> 00:13:00,400 Speaker 1: to some of their competitors and social media, they're audience 259 00:13:00,520 --> 00:13:03,320 Speaker 1: or the users are growing much slower. Okay, that was 260 00:13:03,320 --> 00:13:05,360 Speaker 1: the case. So he thought he could come in here 261 00:13:05,400 --> 00:13:07,320 Speaker 1: and get rid of all these bots that he thinks 262 00:13:07,440 --> 00:13:10,720 Speaker 1: is this massive problem here um and and making just 263 00:13:10,760 --> 00:13:13,880 Speaker 1: a better places, this kind of what digital town squarely calls, 264 00:13:14,160 --> 00:13:16,400 Speaker 1: um you know what would be great for humanity. But 265 00:13:16,679 --> 00:13:19,079 Speaker 1: in doing so, he's really and again I know you're 266 00:13:19,080 --> 00:13:21,440 Speaker 1: following this because I'm following you on Twitter, which is 267 00:13:21,679 --> 00:13:24,720 Speaker 1: kind of metic here. I mean, he really is putting 268 00:13:24,800 --> 00:13:26,760 Speaker 1: this platform on the brank. I know a lot of 269 00:13:26,800 --> 00:13:29,120 Speaker 1: really smart people who like to sound smart on Twitter 270 00:13:29,400 --> 00:13:32,120 Speaker 1: say it's much harder, you know, to have something like this. 271 00:13:32,240 --> 00:13:34,600 Speaker 1: These these systems are much more resilient. So if you 272 00:13:34,880 --> 00:13:38,880 Speaker 1: even get rid of thousands of people on a employee base, 273 00:13:38,960 --> 00:13:40,800 Speaker 1: it won't matter because this thing has been built for 274 00:13:40,800 --> 00:13:42,760 Speaker 1: all these years. Um, I don't know the things that 275 00:13:42,800 --> 00:13:45,120 Speaker 1: you're focused on, trust and safety and all those other 276 00:13:45,160 --> 00:13:48,080 Speaker 1: issues about disinformation and battling those sorts of things. You 277 00:13:48,160 --> 00:13:50,760 Speaker 1: think that people are really important to those processes, right, 278 00:13:50,960 --> 00:13:53,360 Speaker 1: and so all of those people are gone. Most of 279 00:13:53,360 --> 00:13:56,679 Speaker 1: the people what it sounds like, who had real important 280 00:13:56,800 --> 00:13:59,880 Speaker 1: jobs there about the direction of the platform are all 281 00:14:00,040 --> 00:14:03,720 Speaker 1: gone there. You know, maybe there's some hardcore libertarian browe 282 00:14:04,200 --> 00:14:06,240 Speaker 1: tech people who are sticking around because they're just like 283 00:14:06,320 --> 00:14:09,280 Speaker 1: always been Elon fans. But but again, I just don't 284 00:14:09,280 --> 00:14:11,120 Speaker 1: think it's the sort of place that people are gonna 285 00:14:11,160 --> 00:14:13,800 Speaker 1: go on to go work. And I think what's really 286 00:14:13,840 --> 00:14:17,080 Speaker 1: clear is that advertisers right now don't want to be there. 287 00:14:17,160 --> 00:14:21,120 Speaker 1: And this is a company that's reliant on big advertisers. 288 00:14:21,160 --> 00:14:23,240 Speaker 1: You know, it's very different over at Facebook or Meta 289 00:14:23,520 --> 00:14:27,400 Speaker 1: they have like lots of small medium businesses that are local. 290 00:14:27,680 --> 00:14:30,840 Speaker 1: Twitter relies on large companies to advertise. And then you 291 00:14:30,840 --> 00:14:33,440 Speaker 1: also saw over the weekend that CBS News, so they're 292 00:14:33,440 --> 00:14:36,080 Speaker 1: gonna stop tweeting, you know, just think about that, right, 293 00:14:36,200 --> 00:14:39,160 Speaker 1: Think about you. You take your a million followers, right, 294 00:14:39,240 --> 00:14:41,480 Speaker 1: and you all the content that you're putting out there 295 00:14:41,680 --> 00:14:43,720 Speaker 1: throughout the day. Let's say it goes somewhere else. And 296 00:14:43,760 --> 00:14:46,200 Speaker 1: maybe that's this post thing. I've seen you and Kara 297 00:14:46,280 --> 00:14:48,240 Speaker 1: switch your tweet about. I just signed up for it. 298 00:14:48,240 --> 00:14:51,280 Speaker 1: I'm gonna follow you first thing tomorrow. But there could 299 00:14:51,320 --> 00:14:53,960 Speaker 1: be an alternative. And again, I don't think he wants 300 00:14:53,960 --> 00:14:56,120 Speaker 1: to kill it now. I do think though, that he 301 00:14:56,160 --> 00:14:58,760 Speaker 1: has a situation where and you and I've talked about 302 00:14:58,760 --> 00:15:01,680 Speaker 1: this before. I mean, he bought this thing for forty 303 00:15:01,720 --> 00:15:05,080 Speaker 1: four billion dollars. He got a bunch of banks to 304 00:15:05,200 --> 00:15:09,440 Speaker 1: give him nearly thirteen billion dollars in debt, right and 305 00:15:09,480 --> 00:15:11,560 Speaker 1: that debt is training at like sixty cents on the 306 00:15:11,640 --> 00:15:14,160 Speaker 1: dollar right now. They haven't even been able to place it. 307 00:15:14,360 --> 00:15:17,480 Speaker 1: He also has been selling his test Less stock to 308 00:15:17,600 --> 00:15:20,280 Speaker 1: fund the purchase. He's also probably pledged a lot of 309 00:15:20,320 --> 00:15:23,040 Speaker 1: test Less stock okay to kind of be part of 310 00:15:23,040 --> 00:15:25,200 Speaker 1: the equity. He also had a lot of other equity 311 00:15:25,240 --> 00:15:28,240 Speaker 1: people come into it who held equity in the public 312 00:15:28,240 --> 00:15:31,280 Speaker 1: company rolled it into the private But there's a scenario 313 00:15:31,320 --> 00:15:34,040 Speaker 1: where you know, he probably paid um, you know, twenty 314 00:15:34,040 --> 00:15:37,400 Speaker 1: five billion more than it's worth and um, you know, 315 00:15:37,480 --> 00:15:39,640 Speaker 1: So he's got a scenario where it's not a great 316 00:15:39,640 --> 00:15:42,080 Speaker 1: financial setup, Like it will really be hard for him 317 00:15:42,240 --> 00:15:44,840 Speaker 1: to make money anytime soon in the next three to 318 00:15:44,960 --> 00:15:47,280 Speaker 1: five years on this thing, which is usually what you 319 00:15:47,280 --> 00:15:48,920 Speaker 1: would hope to do if you were going to take 320 00:15:48,920 --> 00:15:51,920 Speaker 1: a public company private. You're gonna lever it up with debt, 321 00:15:52,120 --> 00:15:54,280 Speaker 1: You're gonna cut costs, and you're gonna try to get 322 00:15:54,360 --> 00:15:57,520 Speaker 1: faster growth and then rebring it back to the public 323 00:15:57,600 --> 00:16:00,120 Speaker 1: markets at a higher valuation to make money on that. 324 00:16:00,360 --> 00:16:02,560 Speaker 1: It seems very unlikely he's gonna be able to do that. 325 00:16:02,840 --> 00:16:05,920 Speaker 1: It seems to me like even if he just has 326 00:16:05,960 --> 00:16:10,560 Speaker 1: thirty and billion dollars of his personal wealth in it, 327 00:16:11,080 --> 00:16:13,720 Speaker 1: that seems like a lot of money. But maybe I'm stupid. 328 00:16:13,920 --> 00:16:16,520 Speaker 1: Can he just afford to do this? Well, it sounds 329 00:16:16,560 --> 00:16:18,920 Speaker 1: like he's got a lot more than than thirteen billions, 330 00:16:18,960 --> 00:16:21,400 Speaker 1: So if he paid forty four billion, he's got thirteen 331 00:16:21,440 --> 00:16:24,440 Speaker 1: billion in debt on it. Okay, that that that basically 332 00:16:24,800 --> 00:16:26,560 Speaker 1: you know he's on the hook for he owns it, 333 00:16:26,680 --> 00:16:28,960 Speaker 1: right and then you know, so then all the equity 334 00:16:29,000 --> 00:16:32,120 Speaker 1: he has been selling stock in Teslas share, So think 335 00:16:32,160 --> 00:16:34,560 Speaker 1: about where he gets his money, right, So he was like, 336 00:16:34,840 --> 00:16:38,080 Speaker 1: he's supposedly the richest man in the world. Um, a 337 00:16:38,120 --> 00:16:40,160 Speaker 1: lot of his wealth has been tied up in Tesla, 338 00:16:40,160 --> 00:16:43,080 Speaker 1: which a publicly traded stock. It has a six billion 339 00:16:43,080 --> 00:16:46,080 Speaker 1: dollar market cap, which is one of the largest market 340 00:16:46,080 --> 00:16:48,560 Speaker 1: cap companies in the US, just to be really clear, 341 00:16:48,760 --> 00:16:52,120 Speaker 1: but it's also down fifty percent from where it was 342 00:16:52,160 --> 00:16:54,600 Speaker 1: trading a year ago, all right, And he also has 343 00:16:54,640 --> 00:16:56,680 Speaker 1: a lot of his wealth tied up in SpaceX that's 344 00:16:56,720 --> 00:16:59,600 Speaker 1: the rocket company, right, But that is a private company, 345 00:16:59,600 --> 00:17:02,000 Speaker 1: so he doesn't have liquidity there. So if he wants 346 00:17:02,040 --> 00:17:05,800 Speaker 1: to go out and spend millions or billions, he's as 347 00:17:06,040 --> 00:17:09,399 Speaker 1: he either has to sell stock in those companies or 348 00:17:09,520 --> 00:17:12,960 Speaker 1: pledge shares of that okay, to to basically get the 349 00:17:13,000 --> 00:17:15,920 Speaker 1: money to do things. But the Teslas stock goes much 350 00:17:15,960 --> 00:17:19,160 Speaker 1: lower than the value of the of his assets goes 351 00:17:19,280 --> 00:17:22,200 Speaker 1: much lower, So he's really tied to the markets. He's 352 00:17:22,240 --> 00:17:24,040 Speaker 1: really levered here. And just you know, if you think 353 00:17:24,080 --> 00:17:26,399 Speaker 1: about everything that's going on right now, when you have 354 00:17:26,440 --> 00:17:28,960 Speaker 1: interest rates go up as quickly as they've had, why 355 00:17:29,040 --> 00:17:32,200 Speaker 1: has crypto and bitcoin all this stuff just created? Why 356 00:17:32,280 --> 00:17:34,040 Speaker 1: How are we starting to see some of this corporate 357 00:17:34,040 --> 00:17:37,680 Speaker 1: mouthfeasans this stuff where people weren't I'm sure, I'm sure 358 00:17:37,680 --> 00:17:40,359 Speaker 1: Back Reenfield spent a lot of time talking about, you know, 359 00:17:40,400 --> 00:17:43,359 Speaker 1: this FTX situation in the crypto world right right now, 360 00:17:43,480 --> 00:17:46,119 Speaker 1: there was no really good due diligence done on a 361 00:17:46,119 --> 00:17:48,720 Speaker 1: lot of stuff, and the cult of personality of some 362 00:17:48,800 --> 00:17:52,480 Speaker 1: of these founders, people like Elon, people like this SPF 363 00:17:52,480 --> 00:17:55,040 Speaker 1: and f t X, people like this woman homes from 364 00:17:55,080 --> 00:17:58,440 Speaker 1: their knows where you have really smart people just throwing 365 00:17:58,520 --> 00:18:01,600 Speaker 1: money at them and not asking the hard questions. In 366 00:18:01,720 --> 00:18:03,800 Speaker 1: periods like this, you know what I mean, This is 367 00:18:03,840 --> 00:18:06,600 Speaker 1: when you see a lot of the frauds, the phonies, 368 00:18:06,720 --> 00:18:09,040 Speaker 1: and and you know, you see it exposed. And I 369 00:18:09,080 --> 00:18:11,840 Speaker 1: think we're seeing that. There's a lot of people who 370 00:18:11,880 --> 00:18:15,280 Speaker 1: think that Ellen, while he's not a fraud like some 371 00:18:15,359 --> 00:18:19,120 Speaker 1: of these other financial frauds, his company is very overvalued. Well, 372 00:18:19,160 --> 00:18:21,479 Speaker 1: they think, well, the company has ever valued. And the 373 00:18:21,480 --> 00:18:24,520 Speaker 1: reason in which people are willing to value the company 374 00:18:24,640 --> 00:18:28,040 Speaker 1: Tesla in particular, is because they think he's the smartest 375 00:18:28,080 --> 00:18:30,760 Speaker 1: guy in the world and he's going to do something fabulous. 376 00:18:30,880 --> 00:18:33,439 Speaker 1: And he's already done something fabulous. Okay, he's moved the 377 00:18:33,480 --> 00:18:37,240 Speaker 1: electric vehicle business, and I don't compliment them too frequently. 378 00:18:37,600 --> 00:18:40,199 Speaker 1: You know, he's moved all of these incumbents, whether it 379 00:18:40,200 --> 00:18:42,199 Speaker 1: be Detroit, whether it be the Germans, whether it be 380 00:18:42,240 --> 00:18:45,639 Speaker 1: the Japanese or the Koreans, they've moved them. He's moved 381 00:18:45,640 --> 00:18:47,800 Speaker 1: them to a place where they probably wouldn't have been 382 00:18:47,800 --> 00:18:50,360 Speaker 1: on their own, moving cars to you know, to be 383 00:18:50,480 --> 00:18:53,000 Speaker 1: you know, fully electric fleets at some point. I don't 384 00:18:53,280 --> 00:18:55,399 Speaker 1: a lot of these guys say by you know, twenty 385 00:18:55,440 --> 00:18:57,679 Speaker 1: thirty or something like that. So he's done that. But 386 00:18:57,720 --> 00:19:00,240 Speaker 1: does this company deserve to have a six und a 387 00:19:00,240 --> 00:19:02,959 Speaker 1: billion dollar market cap because I don't really think so. 388 00:19:03,040 --> 00:19:04,600 Speaker 1: At the end of the day, it's just going to 389 00:19:04,680 --> 00:19:07,119 Speaker 1: be a car company when every other company is just 390 00:19:07,240 --> 00:19:12,240 Speaker 1: making electric vehicles. Yeah, that's what I think too, Dan Nathan, 391 00:19:12,320 --> 00:19:15,200 Speaker 1: please come back. I will, Thanks, Mom, I appreciate you 392 00:19:15,240 --> 00:19:23,760 Speaker 1: having me. Congressman made Jones represents New York sevent Congressional District. 393 00:19:24,359 --> 00:19:31,000 Speaker 1: Welcome too Fast Politics, Congressman Mondair, It's good to be back. 394 00:19:31,240 --> 00:19:34,560 Speaker 1: We're so happy to have you for any number of reasons, 395 00:19:34,600 --> 00:19:37,120 Speaker 1: but the first of which is, so, do you want 396 00:19:37,160 --> 00:19:40,239 Speaker 1: to tell listeners for the people who are not like 397 00:19:40,440 --> 00:19:45,080 Speaker 1: extreme congressional junkies, what the midterms have brought to you. 398 00:19:45,440 --> 00:19:50,880 Speaker 1: The midterms have resulted in the salvaging of our democracy 399 00:19:50,920 --> 00:19:55,480 Speaker 1: at least for a few more years. Yes, that is 400 00:19:55,520 --> 00:19:58,840 Speaker 1: the good news. But in New York it's been kind 401 00:19:58,880 --> 00:20:02,159 Speaker 1: of what we say on this podcast, because we can 402 00:20:02,240 --> 00:20:05,040 Speaker 1: curse a ship show. Oh I'm so glad, I concurse 403 00:20:06,440 --> 00:20:10,600 Speaker 1: New York's ree district. Thing has been a disaster, and 404 00:20:10,880 --> 00:20:16,000 Speaker 1: no one wants to take responsibility for the margin that Republicans, 405 00:20:16,359 --> 00:20:20,760 Speaker 1: the Anti Democratic Party, the Anti Democracy Party has in 406 00:20:20,880 --> 00:20:24,960 Speaker 1: the House of Representatives can be explained by the number 407 00:20:25,080 --> 00:20:27,919 Speaker 1: of seats that flipped Republican in the state of New 408 00:20:28,000 --> 00:20:31,520 Speaker 1: York because of a gerrymander that was struck down by 409 00:20:31,560 --> 00:20:33,760 Speaker 1: the New York Court of Appeals. We had an independent 410 00:20:33,760 --> 00:20:37,400 Speaker 1: reditioning commission here that could have handled things far better 411 00:20:37,480 --> 00:20:40,520 Speaker 1: than what the Democratic legislature did, and of course, the 412 00:20:40,520 --> 00:20:43,199 Speaker 1: fact that the lines had to change at all was 413 00:20:43,240 --> 00:20:46,439 Speaker 1: the result of Andrew Cuomo, a deal he cut in 414 00:20:46,680 --> 00:20:50,719 Speaker 1: twenty twelve when many of us were still in high school. 415 00:20:50,960 --> 00:20:54,119 Speaker 1: I mean, not May and maybe not you, but many 416 00:20:54,200 --> 00:20:57,400 Speaker 1: other men. You know. Anyway, so go on, yes, well, 417 00:20:57,440 --> 00:21:00,080 Speaker 1: Andrew Cuomo is the reason why we even had to 418 00:21:00,119 --> 00:21:02,320 Speaker 1: lose a congressional seat in the state of New York, 419 00:21:02,560 --> 00:21:05,280 Speaker 1: because we only lost it by eighty nine folks who 420 00:21:05,359 --> 00:21:07,800 Speaker 1: simply did not complete the census. And that was can 421 00:21:07,840 --> 00:21:09,800 Speaker 1: be explained by the fact that he did not disperse 422 00:21:09,960 --> 00:21:12,679 Speaker 1: many millions of dollars, tens of millions of dollars for 423 00:21:12,800 --> 00:21:15,520 Speaker 1: purposes of census collection. So there's a lot of blame 424 00:21:15,600 --> 00:21:18,879 Speaker 1: to go around. So anyway, what happened with the redistricting 425 00:21:18,960 --> 00:21:22,479 Speaker 1: was Sean Patrick Maloney, who was the chair of the 426 00:21:22,920 --> 00:21:26,560 Speaker 1: D Triple C right, yes, um, he decided he would 427 00:21:26,640 --> 00:21:30,879 Speaker 1: take what was half of your district and run there. 428 00:21:31,160 --> 00:21:33,960 Speaker 1: He lost. The district that he ran in is a 429 00:21:34,040 --> 00:21:37,720 Speaker 1: district that I currently represent seventy percent of. And I 430 00:21:37,720 --> 00:21:39,600 Speaker 1: had a choice, as you know, Molly, I could have 431 00:21:39,760 --> 00:21:41,800 Speaker 1: run against the chair of the D. Trip will see 432 00:21:41,880 --> 00:21:44,879 Speaker 1: the the guy whose primary job responsibility it is to 433 00:21:44,920 --> 00:21:47,080 Speaker 1: help us keep our majority in the House and and 434 00:21:47,160 --> 00:21:50,560 Speaker 1: defeat fadgism in this country. And I never imagined that 435 00:21:50,640 --> 00:21:54,360 Speaker 1: after taking one for the team, that the gentleman from 436 00:21:54,359 --> 00:21:58,080 Speaker 1: New York's eighteenth Congressional district would lose in New York seventeenth, 437 00:21:58,200 --> 00:22:00,280 Speaker 1: a district that I would have won. Um, so you 438 00:22:00,280 --> 00:22:02,840 Speaker 1: can imagine how I feel right now. But you know, 439 00:22:02,960 --> 00:22:05,160 Speaker 1: the good news is we did keep the center. Wait, 440 00:22:05,160 --> 00:22:07,400 Speaker 1: how do you feel right now? Because I'm thinking about 441 00:22:07,440 --> 00:22:09,480 Speaker 1: it and I was thinking how what I feel? I 442 00:22:09,520 --> 00:22:11,320 Speaker 1: don't know. How do you feel? Do you feel like 443 00:22:11,440 --> 00:22:16,399 Speaker 1: vindicated or do you just feel devastated? No, vindicated feels petty, right. 444 00:22:16,680 --> 00:22:21,480 Speaker 1: I never imagined, after having been a leading, highly effective 445 00:22:21,520 --> 00:22:24,439 Speaker 1: member in the United States Congress for the past two years, 446 00:22:24,640 --> 00:22:28,080 Speaker 1: that I would wake up one morning and because of 447 00:22:28,440 --> 00:22:32,240 Speaker 1: the incompetence of so many people, there's a lot of 448 00:22:32,280 --> 00:22:37,879 Speaker 1: blame to go around be made, uh, to you know, 449 00:22:38,000 --> 00:22:41,920 Speaker 1: make this impossible choice and not be allowed to continue 450 00:22:41,960 --> 00:22:44,480 Speaker 1: serving the community that raised me and that I have 451 00:22:44,520 --> 00:22:48,199 Speaker 1: been delivering for. And so I'm just sad, frankly by 452 00:22:48,240 --> 00:22:52,160 Speaker 1: the outcome and by the knowledge that Democrats would have 453 00:22:52,240 --> 00:22:55,560 Speaker 1: the majority in the House of Representatives, and we would 454 00:22:55,560 --> 00:22:58,960 Speaker 1: still be able to pass legislation for the next two 455 00:22:59,040 --> 00:23:02,879 Speaker 1: years were it not for the former governor of the 456 00:23:02,880 --> 00:23:06,239 Speaker 1: State of New York, leaders and the state legislature, the 457 00:23:06,320 --> 00:23:09,800 Speaker 1: chair of the D Triple c and some other federal 458 00:23:10,320 --> 00:23:14,240 Speaker 1: legislators who coordinated with the Chair of the D Triple 459 00:23:14,320 --> 00:23:18,560 Speaker 1: City in terms of pushing a blatantly illegal partisan jerrymander 460 00:23:18,920 --> 00:23:21,240 Speaker 1: that was ultimately struck down by the Court of Appeals. 461 00:23:21,560 --> 00:23:23,920 Speaker 1: I would have much preferred the maps that were drawn 462 00:23:24,000 --> 00:23:26,880 Speaker 1: by the Independent Redistricting Commission. It certainly would have avoided 463 00:23:27,160 --> 00:23:29,560 Speaker 1: the impossible choice that I had to make. So let's 464 00:23:29,760 --> 00:23:35,639 Speaker 1: talk about ja Jacobs. J Jacobs is the chair of 465 00:23:35,720 --> 00:23:39,320 Speaker 1: the Democratic Party of the State of New York. Talk 466 00:23:39,400 --> 00:23:43,000 Speaker 1: to me about J Jacobs. I don't know the guy. 467 00:23:43,119 --> 00:23:46,240 Speaker 1: He's the chair of the New York State Democratic Party. 468 00:23:46,400 --> 00:23:50,880 Speaker 1: He runs summer camps. Yes what he that's I think 469 00:23:50,920 --> 00:23:54,159 Speaker 1: that's what he's busy doing. Okay, yes, well, much has 470 00:23:54,200 --> 00:23:57,840 Speaker 1: been made of his failure of leadership when it comes 471 00:23:57,880 --> 00:24:03,120 Speaker 1: to not investing in an infrastructure that could have helped 472 00:24:03,280 --> 00:24:08,520 Speaker 1: Democrats hold onto and win seats in those seats that 473 00:24:08,560 --> 00:24:11,040 Speaker 1: were flipped. I mean four seats went were flipped to 474 00:24:11,080 --> 00:24:13,679 Speaker 1: Republican this cycle in the state of New York that 475 00:24:13,680 --> 00:24:16,640 Speaker 1: could have been avoided, which is, by the way, will 476 00:24:16,760 --> 00:24:22,160 Speaker 1: probably be the difference between a Democratic Congress and Republican Congress. 477 00:24:22,440 --> 00:24:26,880 Speaker 1: Kathy Hokel performed much worse than she should have. I mean, 478 00:24:26,960 --> 00:24:30,720 Speaker 1: she lost in you know, my hometown county of Rockland, 479 00:24:31,080 --> 00:24:33,159 Speaker 1: which is a county that Joe Biden won and that 480 00:24:33,240 --> 00:24:35,639 Speaker 1: I won quite handily in two thousand twenty. You know, 481 00:24:35,680 --> 00:24:40,960 Speaker 1: one wonders why, given this track record, which by the way, 482 00:24:41,080 --> 00:24:44,960 Speaker 1: extends well beyond what just happened this cycle, that someone 483 00:24:44,960 --> 00:24:48,119 Speaker 1: would be allowed to continue in this role. Right I've 484 00:24:48,119 --> 00:24:51,560 Speaker 1: worked in corporate America, I've worked in government. It is 485 00:24:51,600 --> 00:24:55,720 Speaker 1: extraordinary because, as State Senator zonn orm I re mentioned 486 00:24:55,840 --> 00:24:59,480 Speaker 1: to political a few weeks ago, by what metric are 487 00:24:59,520 --> 00:25:05,320 Speaker 1: we just success? Certainly not in terms of electoral victories, certainly, 488 00:25:05,359 --> 00:25:09,359 Speaker 1: not in terms of fundraising, certainly, not in terms of infrastructure, certainly, 489 00:25:09,359 --> 00:25:13,720 Speaker 1: not in terms of cultivating a new generation. That is 490 00:25:13,760 --> 00:25:15,359 Speaker 1: really where a lot of the energy and the party 491 00:25:15,400 --> 00:25:17,560 Speaker 1: is right now. Because what we've got is not just 492 00:25:17,720 --> 00:25:20,480 Speaker 1: Mr Jacobs, Because I really do think that focusing on 493 00:25:20,560 --> 00:25:24,640 Speaker 1: him has distracted from a broader reckoning throughout the leadership 494 00:25:24,640 --> 00:25:26,439 Speaker 1: of the party that needs to take place. It is 495 00:25:26,440 --> 00:25:28,360 Speaker 1: certainly the case that many of these people are more 496 00:25:28,440 --> 00:25:34,480 Speaker 1: hostile to progressive than they are focused on defeating Republicans. Yeah, 497 00:25:34,640 --> 00:25:37,480 Speaker 1: that's a really good point. We're in this position. What 498 00:25:37,640 --> 00:25:40,480 Speaker 1: can people in New York do? Is there a way 499 00:25:40,520 --> 00:25:43,159 Speaker 1: to sort of unravel this disaster in New York. And 500 00:25:43,200 --> 00:25:46,240 Speaker 1: it's funny because the two states where Democrats did the worst, 501 00:25:46,760 --> 00:25:49,919 Speaker 1: our New York State, which has a very problematic Democratic Party, 502 00:25:50,320 --> 00:25:54,919 Speaker 1: and Florida, which has almost no Democratic party structure infrastructure. First, 503 00:25:55,480 --> 00:25:58,680 Speaker 1: I hope that there is an opportunity for the independent 504 00:25:58,720 --> 00:26:02,080 Speaker 1: Redistricting Commission to which job and redrawing the assembly maps. 505 00:26:02,119 --> 00:26:04,560 Speaker 1: The court has ordered that the assembly maps in the state, 506 00:26:04,640 --> 00:26:07,960 Speaker 1: but we've redrawn. I continue to believe in this independent 507 00:26:07,960 --> 00:26:11,639 Speaker 1: reditioning commission rather than what we saw take place in 508 00:26:11,680 --> 00:26:13,879 Speaker 1: the state legislature this year, which got struck down by 509 00:26:13,920 --> 00:26:16,040 Speaker 1: the Court of Appeals. There also has to be new 510 00:26:16,119 --> 00:26:19,800 Speaker 1: leadership at the at the level of party chair in 511 00:26:19,840 --> 00:26:24,239 Speaker 1: New York State. And again I regret that, you know, 512 00:26:24,359 --> 00:26:27,840 Speaker 1: people feel personally attacked, but what this is really about 513 00:26:28,160 --> 00:26:31,640 Speaker 1: is making sure that we have competency going into two 514 00:26:31,640 --> 00:26:35,200 Speaker 1: thousand twenty four. I also think that the leader needs 515 00:26:35,240 --> 00:26:36,840 Speaker 1: to be someone who brings people together. We have a 516 00:26:36,880 --> 00:26:41,879 Speaker 1: beautifully diverse Democratic Party, uh and that includes ideologically. There 517 00:26:41,920 --> 00:26:44,840 Speaker 1: are plenty of folks who could bring people together. We've 518 00:26:44,840 --> 00:26:47,960 Speaker 1: We've got a big tent. And I understand that what 519 00:26:48,000 --> 00:26:51,200 Speaker 1: works up state doesn't always work in Brooklyn, for example. 520 00:26:51,400 --> 00:26:54,879 Speaker 1: I know that well. But the fact is we have 521 00:26:55,080 --> 00:26:59,359 Speaker 1: to create room for the talent that tends to be 522 00:26:59,480 --> 00:27:05,080 Speaker 1: younger and oftentimes, though not always, is progressive in this party. 523 00:27:05,160 --> 00:27:07,880 Speaker 1: There has to be room for everybody if we are 524 00:27:08,000 --> 00:27:12,920 Speaker 1: to defend and strengthen our democracy, protect fundamental rights, and 525 00:27:13,200 --> 00:27:15,280 Speaker 1: build an economy that works for everybody. But that means 526 00:27:15,600 --> 00:27:19,960 Speaker 1: winning elections. It does not mean Eric Adams validating the 527 00:27:20,040 --> 00:27:22,639 Speaker 1: hysteria over crime that exists. I live in the Hudson 528 00:27:22,720 --> 00:27:25,879 Speaker 1: Valley right so, Rockland County is the third safest county 529 00:27:25,920 --> 00:27:28,240 Speaker 1: in the entire United States. According to the US News, 530 00:27:28,359 --> 00:27:31,720 Speaker 1: Westchester is the fourth safest county in the entire United 531 00:27:31,720 --> 00:27:34,840 Speaker 1: States of America. You would never know it based on 532 00:27:35,280 --> 00:27:39,080 Speaker 1: the campaigns that Hudson Valley Republicans are running. By the way. Platinum, 533 00:27:39,160 --> 00:27:41,840 Speaker 1: I think is number twelve, twelfth safest county in the 534 00:27:41,960 --> 00:27:45,320 Speaker 1: entire United States. So we can talk about the problem 535 00:27:45,359 --> 00:27:49,480 Speaker 1: of crime, which is a problem, without being reactionary and 536 00:27:50,160 --> 00:27:55,840 Speaker 1: validating the misinformation and disinformation that we see Republicans pushing. Unfortunately, 537 00:27:56,000 --> 00:27:59,920 Speaker 1: we don't see that from Eric Adams and others who 538 00:28:00,240 --> 00:28:03,359 Speaker 1: are afraid to lead on this subject. So talk to 539 00:28:03,359 --> 00:28:06,960 Speaker 1: me about this lame duck because there's an opportunity to 540 00:28:07,160 --> 00:28:09,840 Speaker 1: do a bunch of really important things in the lame duck. 541 00:28:10,040 --> 00:28:12,359 Speaker 1: Talk to me about what you think will happen in 542 00:28:12,520 --> 00:28:15,600 Speaker 1: order to prevent the government from shutting down or to 543 00:28:15,600 --> 00:28:19,560 Speaker 1: make that less likely. And Congress, which will take shape 544 00:28:19,640 --> 00:28:21,919 Speaker 1: in early January next year, we've got to raise the 545 00:28:21,960 --> 00:28:26,440 Speaker 1: debt ceiling. We cannot continue to allow Republicans who are 546 00:28:26,480 --> 00:28:29,159 Speaker 1: not interested in and I don't think of government they 547 00:28:29,200 --> 00:28:34,199 Speaker 1: wanted to right which they luckily they don't, from taking 548 00:28:34,240 --> 00:28:37,520 Speaker 1: the government hostage. And so we can do that through reconciliation, 549 00:28:37,720 --> 00:28:39,760 Speaker 1: which is a process that may be familiar to folks. 550 00:28:39,760 --> 00:28:42,000 Speaker 1: That's how we were going to pass Build Back Better 551 00:28:42,080 --> 00:28:44,320 Speaker 1: through the Senate. It's it's how we pass the Inflation 552 00:28:44,360 --> 00:28:48,080 Speaker 1: Reduction Act. This year in August that historic legislation to 553 00:28:48,240 --> 00:28:51,360 Speaker 1: lower costs for our seniors on Medicare and to invest 554 00:28:51,400 --> 00:28:53,720 Speaker 1: in climate action. And we still got an opportunity to 555 00:28:53,760 --> 00:28:56,040 Speaker 1: do that, and there's an appetite to do that, so 556 00:28:56,200 --> 00:28:58,600 Speaker 1: I hope that we take care of that. There's also 557 00:28:58,640 --> 00:29:01,120 Speaker 1: a lot of discussion about things that we can include 558 00:29:01,200 --> 00:29:03,440 Speaker 1: in the n d a A, which is something we 559 00:29:03,520 --> 00:29:06,160 Speaker 1: pass on a on an annual basis. Can we put 560 00:29:06,240 --> 00:29:09,400 Speaker 1: voting rights in there? Can we put Supreme Court reforms 561 00:29:09,400 --> 00:29:12,360 Speaker 1: in there? Like ethics reforms. That's what I'm pushing for 562 00:29:12,480 --> 00:29:15,239 Speaker 1: right now. Right, No, that makes sense. Where are you 563 00:29:15,320 --> 00:29:19,120 Speaker 1: on this leadership election? Talked to me. I get to 564 00:29:19,120 --> 00:29:26,120 Speaker 1: sit in the chair and just observe so so many 565 00:29:26,120 --> 00:29:28,520 Speaker 1: of these races I have already been decided as of 566 00:29:29,080 --> 00:29:31,880 Speaker 1: you know, a few hours ago, deals were being struck. 567 00:29:32,080 --> 00:29:34,840 Speaker 1: I think Nancy Pelosi and I know that there are 568 00:29:34,840 --> 00:29:37,080 Speaker 1: some leftists who are who are going to be upset 569 00:29:37,120 --> 00:29:40,800 Speaker 1: with me. Is the most effective Speaker of the House 570 00:29:40,920 --> 00:29:44,080 Speaker 1: in modern history and quite possibly in the history of 571 00:29:44,080 --> 00:29:47,480 Speaker 1: this country. I say that as someone who has had 572 00:29:47,880 --> 00:29:50,240 Speaker 1: a very good seat at the table as the youngest 573 00:29:50,280 --> 00:29:53,040 Speaker 1: member of House leadership and has seen how she has 574 00:29:53,440 --> 00:29:58,200 Speaker 1: pushed through the president's broadly popular economic agenda and has 575 00:29:58,280 --> 00:30:02,280 Speaker 1: done battle with some of the most conservative obstructionist voices 576 00:30:02,320 --> 00:30:06,160 Speaker 1: in the Democratic Party. It is interesting to me that 577 00:30:06,720 --> 00:30:11,680 Speaker 1: so many folks on Twitter are and have been calling 578 00:30:11,760 --> 00:30:17,000 Speaker 1: for her to step down and to turn things over 579 00:30:17,200 --> 00:30:20,440 Speaker 1: over to a new generation. I wonder how those people 580 00:30:20,640 --> 00:30:25,719 Speaker 1: will feel if her successor is not as accommodating of 581 00:30:25,880 --> 00:30:29,720 Speaker 1: progressive voices as she has been. That's a really interesting point. 582 00:30:30,120 --> 00:30:32,520 Speaker 1: That is the thing we saw a lot was that, 583 00:30:32,720 --> 00:30:36,440 Speaker 1: you know, she tried very hard to bring people together 584 00:30:36,640 --> 00:30:40,440 Speaker 1: from different parts of the Democratic Party. That's exactly right. 585 00:30:40,480 --> 00:30:42,760 Speaker 1: And it's been tough, and it's been frustrating. And I 586 00:30:42,880 --> 00:30:46,840 Speaker 1: had not agreed with every decision policy wise and tactically 587 00:30:47,280 --> 00:30:50,240 Speaker 1: that the Speaker has made. But I have seen her 588 00:30:50,280 --> 00:30:55,040 Speaker 1: push for broad reforms in the child care space and 589 00:30:55,080 --> 00:30:57,960 Speaker 1: in other spaces. When we had that major debate over 590 00:30:58,000 --> 00:31:00,600 Speaker 1: built Back Better and the bipartisan in for extra bill 591 00:31:00,920 --> 00:31:03,040 Speaker 1: almost a year ago to the day. You know, she 592 00:31:03,760 --> 00:31:07,040 Speaker 1: also when Rob Emmanuel, the former chief of staff for 593 00:31:07,240 --> 00:31:11,000 Speaker 1: Barack Obama, you know, was trying to move on from 594 00:31:11,080 --> 00:31:14,720 Speaker 1: or or or pivot away from Obamacare, and then tried 595 00:31:14,800 --> 00:31:16,479 Speaker 1: to water it down. I mean, she was the one 596 00:31:16,480 --> 00:31:19,440 Speaker 1: who pushed for an aggressive piece of legislation that would 597 00:31:19,440 --> 00:31:22,520 Speaker 1: really expand healthcare to tens of millions of people in 598 00:31:22,560 --> 00:31:25,560 Speaker 1: this country. I'm a student of history, so I'm aware 599 00:31:25,560 --> 00:31:28,440 Speaker 1: of these things even before having served in Congress for myself, 600 00:31:28,440 --> 00:31:31,480 Speaker 1: and I encourage people to educate themselves. That's a really 601 00:31:31,520 --> 00:31:33,960 Speaker 1: good point, you know. I'm sure you've read that article 602 00:31:34,000 --> 00:31:38,200 Speaker 1: about her whipping votes and having the person's cousin called 603 00:31:38,280 --> 00:31:41,360 Speaker 1: them and the ed secretary. You know that's a certain 604 00:31:41,800 --> 00:31:43,959 Speaker 1: kind of I mean, I don't know, there's a certain 605 00:31:44,080 --> 00:31:49,200 Speaker 1: thing about her, Molly that isn't that's nothing. I read 606 00:31:49,240 --> 00:31:52,360 Speaker 1: that too, and I'm like that that's the best story 607 00:31:52,360 --> 00:31:57,600 Speaker 1: you've got. Really, you saw, You've seen more persuasive persuading 608 00:31:57,680 --> 00:32:01,720 Speaker 1: from Nancy Pelosi. Please share. I would just say that 609 00:32:02,080 --> 00:32:04,200 Speaker 1: the Speaker knows where all the bodies are buried, right, 610 00:32:04,400 --> 00:32:06,960 Speaker 1: and she's got she's got relationships with so many members 611 00:32:06,960 --> 00:32:09,840 Speaker 1: of our caucus spanning decades, and so what Tom Parry 612 00:32:09,880 --> 00:32:13,280 Speaker 1: Yellow was described in that article as having experienced was 613 00:32:13,320 --> 00:32:23,880 Speaker 1: one of the more muted persuasion. That's amazing. Thank you 614 00:32:24,040 --> 00:32:26,200 Speaker 1: so much for joining us man, dare I just build 615 00:32:26,280 --> 00:32:29,000 Speaker 1: water all over my desk, as I often do during 616 00:32:29,040 --> 00:32:32,040 Speaker 1: this podcast. But you were great and I really appreciate 617 00:32:32,080 --> 00:32:36,280 Speaker 1: you coming on. Thanks for having me on. Rick Klein 618 00:32:36,600 --> 00:32:41,400 Speaker 1: is ABC news is political director. Welcome to Fast Politics, 619 00:32:41,560 --> 00:32:43,640 Speaker 1: Rick Clyde, thanks for having me. Excited to be here. 620 00:32:43,720 --> 00:32:46,320 Speaker 1: We're thrilled to have you. The thing I really want 621 00:32:46,360 --> 00:32:48,720 Speaker 1: to talk about, which I feel like we haven't talked 622 00:32:48,720 --> 00:32:51,120 Speaker 1: about it enough, if that makes any sense, is are 623 00:32:51,200 --> 00:32:55,480 Speaker 1: you were you shocked by those midterm results? No? I 624 00:32:55,600 --> 00:32:58,600 Speaker 1: was surprised, I would say, not shocked. One reason I 625 00:32:58,640 --> 00:33:01,600 Speaker 1: wasn't shocked is that only was actually kind of right 626 00:33:01,720 --> 00:33:05,240 Speaker 1: this time. And okay, so talk about that, Mark, Yeah, So, 627 00:33:05,320 --> 00:33:07,800 Speaker 1: I mean we we did pulling it at ABC News 628 00:33:07,920 --> 00:33:09,880 Speaker 1: with the Washington Post showed it to be I think 629 00:33:09,880 --> 00:33:12,640 Speaker 1: a one point edge for Republicans on the generic ballot, 630 00:33:13,280 --> 00:33:16,160 Speaker 1: leaned heavily into state polling, and you know, the out 631 00:33:16,280 --> 00:33:17,920 Speaker 1: of partners at five thirty eight. We're doing a lot 632 00:33:17,920 --> 00:33:20,080 Speaker 1: of work on this and they basically had it as 633 00:33:20,080 --> 00:33:21,840 Speaker 1: a coin flip for the Senate with a lot of 634 00:33:21,880 --> 00:33:25,479 Speaker 1: coin flip races. Ultimately, Republicans did get a little bit 635 00:33:25,480 --> 00:33:27,160 Speaker 1: of an edge in the generic ballot and a slight 636 00:33:27,320 --> 00:33:29,160 Speaker 1: edge that puts them over the top to win the House, 637 00:33:29,400 --> 00:33:31,680 Speaker 1: and then the Senate came down about what we thought. 638 00:33:31,760 --> 00:33:34,520 Speaker 1: So there were individual results that certainly surprised me, maybe 639 00:33:34,560 --> 00:33:36,640 Speaker 1: even shocked me. I was. I was extremely surprised that 640 00:33:36,680 --> 00:33:39,440 Speaker 1: she saw Patrick Maloney lose in New York. I was 641 00:33:39,720 --> 00:33:43,080 Speaker 1: very surprised, frankly that Catherine cortest Masto pulled it out 642 00:33:43,080 --> 00:33:45,840 Speaker 1: in Nevada because she had been down. But John Rosten, 643 00:33:46,040 --> 00:33:48,680 Speaker 1: I know, I should have learned the lessons. So so, 644 00:33:48,880 --> 00:33:51,280 Speaker 1: you know, way back in, way back in two when 645 00:33:51,280 --> 00:33:54,040 Speaker 1: everyone thought that Harry Reid was was definitely gonna lose, 646 00:33:54,120 --> 00:33:56,440 Speaker 1: I remember making a bet with my friend John Berman 647 00:33:56,560 --> 00:33:58,560 Speaker 1: as part of our digital coverage. I just said, I'm 648 00:33:58,560 --> 00:34:00,640 Speaker 1: gonna go with Ralston. I don't care what anyone else says. 649 00:34:00,640 --> 00:34:01,920 Speaker 1: And he was one of the only people that said 650 00:34:01,960 --> 00:34:03,360 Speaker 1: that Reid would hang on, and he did. So I 651 00:34:03,400 --> 00:34:05,600 Speaker 1: should have learned that lesson. People got it right. It 652 00:34:05,720 --> 00:34:08,480 Speaker 1: just you know, in the aggregate, I think that we 653 00:34:08,480 --> 00:34:10,800 Speaker 1: we were expecting something different for a couple of reasons. 654 00:34:10,840 --> 00:34:15,080 Speaker 1: One is inflation. Yeah, every historical indicator for president's first 655 00:34:15,120 --> 00:34:17,839 Speaker 1: midterm with inflation double digits, with the president approval rating 656 00:34:17,880 --> 00:34:20,560 Speaker 1: in the high thirties, lower forties. It's a wipeout. And 657 00:34:20,600 --> 00:34:22,960 Speaker 1: the other thing, frankly, is I don't think we fully 658 00:34:23,040 --> 00:34:26,160 Speaker 1: believe the polls because we knew that they had been 659 00:34:26,160 --> 00:34:28,600 Speaker 1: wrong before. So I think in our heads, even if 660 00:34:28,640 --> 00:34:30,439 Speaker 1: it wasn't explicit, I think in our heads, we saw 661 00:34:30,520 --> 00:34:33,719 Speaker 1: forty eight in the race and thought, okay, tie goes 662 00:34:33,760 --> 00:34:36,000 Speaker 1: to the runner. You know, Republicans are gonna win that 663 00:34:36,040 --> 00:34:37,960 Speaker 1: by a couple of points. And we thought that across 664 00:34:38,000 --> 00:34:40,680 Speaker 1: the board. And so again that's that's why, you know, 665 00:34:40,719 --> 00:34:43,520 Speaker 1: surprised but not shocked. I think we were pretty honest 666 00:34:43,600 --> 00:34:45,560 Speaker 1: with our audience about the fact that this was a 667 00:34:45,680 --> 00:34:47,360 Speaker 1: very close race and it could go either way, and 668 00:34:47,400 --> 00:34:50,200 Speaker 1: there were extraordinary forces in both sides. It wasn't just 669 00:34:50,280 --> 00:34:53,000 Speaker 1: inflation and the president's first midterm. You had Rovy Wade 670 00:34:53,000 --> 00:34:56,320 Speaker 1: being overturned. You had the insurrection and democracy being on 671 00:34:56,360 --> 00:34:58,360 Speaker 1: the ballot, and all of those things factored in different 672 00:34:58,360 --> 00:35:01,440 Speaker 1: ways in different places. I wonder how much the lesson is. Like, 673 00:35:01,800 --> 00:35:04,600 Speaker 1: so we're talking about John Rawlstad. I think his paper 674 00:35:04,640 --> 00:35:08,040 Speaker 1: is called The New Nevada Independent. Yeah, that's right, Independent. Yeah, 675 00:35:08,120 --> 00:35:11,160 Speaker 1: I want to talk about Nevada, because Nevada, we had 676 00:35:11,200 --> 00:35:15,719 Speaker 1: actually Cortez Masto on this podcast, and everyone I know, 677 00:35:16,000 --> 00:35:19,920 Speaker 1: and remember I know many more Democrats than Republicans, was like, 678 00:35:20,040 --> 00:35:21,960 Speaker 1: she is not going to win, and I want to 679 00:35:22,000 --> 00:35:25,000 Speaker 1: talk about that because Roasted said she's gonna win. And 680 00:35:25,040 --> 00:35:27,560 Speaker 1: then when the votes came in, he said, people are 681 00:35:27,560 --> 00:35:31,000 Speaker 1: not voting in person. These numbers are just have to 682 00:35:31,040 --> 00:35:33,160 Speaker 1: be wrong. There has to be a huge number of 683 00:35:33,160 --> 00:35:35,759 Speaker 1: mail ins. And again all of us were like, well, 684 00:35:35,760 --> 00:35:38,279 Speaker 1: maybe there is, maybe there isn't. And what I think 685 00:35:38,400 --> 00:35:42,640 Speaker 1: is interesting is like, in the end, it were it 686 00:35:42,800 --> 00:35:45,759 Speaker 1: was a couple of unions, right, who pushed her over 687 00:35:45,800 --> 00:35:49,440 Speaker 1: the top, right, the food worker yeah, and the red machine. Right, 688 00:35:49,480 --> 00:35:52,160 Speaker 1: it was you know, from the grave, Harry Reid's machine 689 00:35:52,200 --> 00:35:55,440 Speaker 1: is still operational, and they put together away to win elections. 690 00:35:55,640 --> 00:35:58,319 Speaker 1: And they took advantage of the fact that you can 691 00:35:58,400 --> 00:36:00,560 Speaker 1: bank a lot of votes before election day and focus 692 00:36:00,560 --> 00:36:03,680 Speaker 1: your organizing on election day on the most smaller, smaller universe, 693 00:36:03,719 --> 00:36:06,360 Speaker 1: I think Republicans. I talked to a bunch of Republicans 694 00:36:06,360 --> 00:36:07,799 Speaker 1: and the run up to the election who were very 695 00:36:07,800 --> 00:36:10,839 Speaker 1: heavy in their expectations. I asked one prominent Republican. I said, 696 00:36:10,840 --> 00:36:13,040 Speaker 1: what's your fear not what could go along? And he said, well, 697 00:36:13,400 --> 00:36:15,399 Speaker 1: our voters have to vote on election day. We think 698 00:36:15,400 --> 00:36:18,000 Speaker 1: they're gonna, but they have to. And the Democrats have 699 00:36:18,040 --> 00:36:20,319 Speaker 1: long since adopted the strategy of of trying to bank 700 00:36:20,360 --> 00:36:22,239 Speaker 1: as maybe votes as possible and to organize. And I 701 00:36:22,239 --> 00:36:24,600 Speaker 1: think that's in the Vada and elsewhere. Bank what you 702 00:36:24,640 --> 00:36:26,680 Speaker 1: can get it done and then focus on the rest. 703 00:36:26,840 --> 00:36:30,400 Speaker 1: And Republicans have they have been doing that really up 704 00:36:30,480 --> 00:36:32,880 Speaker 1: until Trump and Trump I think trashing the idea of 705 00:36:32,880 --> 00:36:35,239 Speaker 1: really voting has set them back pretty considerably in terms 706 00:36:35,239 --> 00:36:37,760 Speaker 1: of that organizing. Yeah, I want to talk about that too, 707 00:36:37,840 --> 00:36:41,919 Speaker 1: because that is such an interesting situation and it has 708 00:36:42,160 --> 00:36:46,240 Speaker 1: so it is so continually backfired for Trump. So Trump 709 00:36:46,280 --> 00:36:48,920 Speaker 1: only believed in the same day voting. He had this 710 00:36:49,080 --> 00:36:52,759 Speaker 1: sort of anti voting bent in a way, right like 711 00:36:53,000 --> 00:36:55,799 Speaker 1: mail and voting in sped You know, got to make 712 00:36:55,840 --> 00:36:59,160 Speaker 1: sure don't trust the system. But I do think ultimately 713 00:36:59,280 --> 00:37:02,800 Speaker 1: like this message don't trust the system, it leads people 714 00:37:02,840 --> 00:37:04,640 Speaker 1: to not trust the system. The problem is if you 715 00:37:04,680 --> 00:37:07,320 Speaker 1: don't trust the system, you don't vote. Yeah, and that 716 00:37:07,400 --> 00:37:09,680 Speaker 1: we saw it directly in Georgia and the runoffs early 717 00:37:09,760 --> 00:37:12,200 Speaker 1: last year. And I think in this case, you had 718 00:37:12,239 --> 00:37:15,080 Speaker 1: a lot of states that have even before COVID made 719 00:37:15,080 --> 00:37:16,919 Speaker 1: it a lot easier to vote early vote that since 720 00:37:16,960 --> 00:37:18,839 Speaker 1: he there's other ways to do it. We had long 721 00:37:18,920 --> 00:37:22,640 Speaker 1: since been just a purely election day society, you know. 722 00:37:22,680 --> 00:37:23,920 Speaker 1: I think it was something like a third of the 723 00:37:24,000 --> 00:37:27,200 Speaker 1: vote was early even before COVID, And then COVID accelerated 724 00:37:27,200 --> 00:37:29,040 Speaker 1: a lot of those trends, and states changed their laws 725 00:37:29,040 --> 00:37:31,520 Speaker 1: and made available other options. And people want to vote 726 00:37:31,520 --> 00:37:34,040 Speaker 1: when it's convenient to vote. And if you're banking everything 727 00:37:34,080 --> 00:37:36,080 Speaker 1: on you know, I'm old enough to remember when you 728 00:37:36,120 --> 00:37:38,560 Speaker 1: know that the seventy two hour program that the Republicans 729 00:37:38,600 --> 00:37:40,840 Speaker 1: had in two thousand four, which was all about getting 730 00:37:40,840 --> 00:37:42,759 Speaker 1: people out on election day, and Karl Rove had this 731 00:37:42,840 --> 00:37:44,840 Speaker 1: system and he was able to get it done and 732 00:37:44,840 --> 00:37:46,759 Speaker 1: get George W. Bush over the top with people voting 733 00:37:46,800 --> 00:37:49,480 Speaker 1: on election day. That's great for its time, but the 734 00:37:49,560 --> 00:37:52,120 Speaker 1: laws have moved on, people's customs have moved on, and 735 00:37:52,200 --> 00:37:54,680 Speaker 1: lots of states there's a huge amount of the vote 736 00:37:54,680 --> 00:37:57,640 Speaker 1: that happens early. Take Arizona, nine or so of the 737 00:37:57,719 --> 00:37:59,840 Speaker 1: vote they're going into election that we expected it to 738 00:37:59,880 --> 00:38:02,719 Speaker 1: be early or mail in or some version of of absentee, 739 00:38:03,080 --> 00:38:05,200 Speaker 1: and you had a can that didn't carry Lake, who 740 00:38:05,440 --> 00:38:08,359 Speaker 1: was trashing the idea of of early voting, even though 741 00:38:08,400 --> 00:38:10,120 Speaker 1: she said, you know, vote however you want. She said 742 00:38:10,120 --> 00:38:12,560 Speaker 1: that she wants to have an election day society. They 743 00:38:12,560 --> 00:38:15,239 Speaker 1: were banking on people to vote on election day, and 744 00:38:15,280 --> 00:38:17,480 Speaker 1: they did, and that's one reason it took so long, 745 00:38:17,520 --> 00:38:20,279 Speaker 1: but not enough for them, didn't, right, I know that 746 00:38:20,360 --> 00:38:23,280 Speaker 1: was and now you have carry Lake going. These people 747 00:38:23,320 --> 00:38:25,520 Speaker 1: had to wait for hours and hours on election day. 748 00:38:25,560 --> 00:38:28,719 Speaker 1: But why you know, right exactly? I mean, I think, 749 00:38:28,760 --> 00:38:30,239 Speaker 1: I think, and you're seeing it in some of the 750 00:38:30,239 --> 00:38:32,120 Speaker 1: statements that Republicans are putting out after the fact, the 751 00:38:32,120 --> 00:38:34,799 Speaker 1: ones who are losing, including Blake Masters in Arizona saying, 752 00:38:34,920 --> 00:38:36,839 Speaker 1: you know, we've got to wake up to the way 753 00:38:36,880 --> 00:38:39,640 Speaker 1: that the system is built. Either change the system or 754 00:38:39,840 --> 00:38:41,680 Speaker 1: catch up to the way that people are living their 755 00:38:41,680 --> 00:38:44,200 Speaker 1: lives and are actually voting right now. And you know what, 756 00:38:44,400 --> 00:38:47,600 Speaker 1: in Florida, Rhonda Santis banked a huge amount of early vote. 757 00:38:47,640 --> 00:38:49,920 Speaker 1: He didn't care about the Trump trashing of it. They 758 00:38:49,920 --> 00:38:51,440 Speaker 1: banked it and they you could see it in the 759 00:38:51,560 --> 00:38:53,200 Speaker 1: numbers early on that it was going to be a blowout, 760 00:38:53,239 --> 00:38:55,440 Speaker 1: and in fact it was. There are ways to do this, 761 00:38:55,480 --> 00:38:58,560 Speaker 1: it's just Trump has made it hard. Yeah, Blake Masters 762 00:38:58,680 --> 00:39:02,120 Speaker 1: is terrifying racist, and I think the reason why he 763 00:39:02,160 --> 00:39:05,239 Speaker 1: didn't win was he was a terrible candidate. I don't know. 764 00:39:05,320 --> 00:39:08,399 Speaker 1: I just think with Blake Masters, like he had had 765 00:39:08,440 --> 00:39:11,400 Speaker 1: all these ads that were like him shooting guns. I 766 00:39:11,440 --> 00:39:15,640 Speaker 1: don't know that that is a relatable swing state message, 767 00:39:15,680 --> 00:39:18,480 Speaker 1: like you know, civil war. And I think what I 768 00:39:18,560 --> 00:39:20,560 Speaker 1: thought was so interesting about Blake Masters. And I say 769 00:39:20,560 --> 00:39:22,879 Speaker 1: this as someone who was married to a VC so 770 00:39:23,000 --> 00:39:25,279 Speaker 1: even though we're on the East Coast, I have lived 771 00:39:25,280 --> 00:39:28,000 Speaker 1: in a world where I've always thought of technology as 772 00:39:28,080 --> 00:39:30,399 Speaker 1: like a thing that we'll solve our problems. But what 773 00:39:30,480 --> 00:39:32,840 Speaker 1: I saw with Blake Masters was this is a person 774 00:39:32,920 --> 00:39:35,920 Speaker 1: with a you know, some of these Silicon Valley people 775 00:39:35,960 --> 00:39:39,279 Speaker 1: have very dark visions for this country. We live in 776 00:39:39,320 --> 00:39:42,640 Speaker 1: a fifty fifty country and a lot of fifty fifty states, 777 00:39:42,680 --> 00:39:45,239 Speaker 1: and there's a lot of voters that just vote Team 778 00:39:45,239 --> 00:39:48,160 Speaker 1: Read or Team Blue, and they look beyond the individual 779 00:39:48,360 --> 00:39:50,920 Speaker 1: candidates and do that now at the margins, it makes 780 00:39:50,960 --> 00:39:53,319 Speaker 1: a difference, and that's where I think. Look, Arizona I 781 00:39:53,360 --> 00:39:56,319 Speaker 1: think was a winnable race for Republicans at the Senate level. Man, 782 00:39:56,440 --> 00:39:59,680 Speaker 1: I think Georgia was definitely a winnable race for Republicans 783 00:39:59,680 --> 00:40:01,239 Speaker 1: at the at level. Look at how many people voted 784 00:40:01,280 --> 00:40:03,200 Speaker 1: for their candidate for governor. At the same time, I'm 785 00:40:03,200 --> 00:40:08,080 Speaker 1: not convinced that voters simply rejected the Republican candidates. In 786 00:40:08,160 --> 00:40:10,560 Speaker 1: some part they did, but I think also the tactics 787 00:40:10,640 --> 00:40:12,640 Speaker 1: of getting people to vote early and getting people to 788 00:40:12,719 --> 00:40:14,840 Speaker 1: engage in this election had to happen as well. People. 789 00:40:15,040 --> 00:40:17,200 Speaker 1: This is a self evident statement, but people have to 790 00:40:17,280 --> 00:40:19,120 Speaker 1: vote for any of that stuff that you just said 791 00:40:19,160 --> 00:40:21,279 Speaker 1: to matter, right, even if someone is an awful human 792 00:40:21,280 --> 00:40:24,719 Speaker 1: being in every conceivable way, election day and and it's 793 00:40:24,800 --> 00:40:27,200 Speaker 1: run up has to feature people actually voting against that 794 00:40:27,239 --> 00:40:29,400 Speaker 1: person for that person to lose. That's how the system works. 795 00:40:29,480 --> 00:40:32,719 Speaker 1: And that's that's where the tactics I think are. You know, 796 00:40:32,760 --> 00:40:35,319 Speaker 1: Republicans are now fighting with the hand tied behind their 797 00:40:35,320 --> 00:40:38,360 Speaker 1: backs if they're not able to encourage people to vote early, 798 00:40:38,440 --> 00:40:41,640 Speaker 1: because it just plane works as a as an organizing strategy, 799 00:40:41,680 --> 00:40:43,959 Speaker 1: and you go into election day with with less less 800 00:40:43,960 --> 00:40:45,760 Speaker 1: ground to make up. And I and we can rerun 801 00:40:45,760 --> 00:40:48,080 Speaker 1: the election a million times and come up with different, 802 00:40:48,120 --> 00:40:51,120 Speaker 1: different outcomes. But even if everything you say about Blake 803 00:40:51,160 --> 00:40:54,279 Speaker 1: Masters is true, voters had to actually do something about it, 804 00:40:54,360 --> 00:40:56,840 Speaker 1: and they do it by voting, and they're vote in 805 00:40:56,840 --> 00:40:59,200 Speaker 1: different ways than they used to and Donald Trump's vision 806 00:40:59,200 --> 00:41:01,319 Speaker 1: of the world than they right now, right, I mean, 807 00:41:01,480 --> 00:41:04,319 Speaker 1: I guess, I don't know. I still think like if 808 00:41:04,320 --> 00:41:07,919 Speaker 1: you run someone who's not terribly creepy, people will vote 809 00:41:07,920 --> 00:41:11,439 Speaker 1: for them. There was a fundamental disconnect there. I want 810 00:41:11,480 --> 00:41:15,760 Speaker 1: to get into this idea of what the House looks 811 00:41:15,800 --> 00:41:19,960 Speaker 1: like now because we have this really, I mean, historically, 812 00:41:20,160 --> 00:41:25,520 Speaker 1: this is the narrowest house margin in modern political history, yes, 813 00:41:25,680 --> 00:41:27,760 Speaker 1: or now likely to be. I mean, you know, we 814 00:41:27,760 --> 00:41:30,439 Speaker 1: we have it at to eighteen to to twenty range 815 00:41:30,600 --> 00:41:32,960 Speaker 1: from the majority and the Democrats just you know, they're 816 00:41:33,000 --> 00:41:36,759 Speaker 1: out going Congress was thirteen, so it's not going to 817 00:41:36,840 --> 00:41:39,080 Speaker 1: be that much different from that. But but it's gonna 818 00:41:39,080 --> 00:41:41,440 Speaker 1: be pretty pretty garny close. And for you know, party 819 00:41:41,440 --> 00:41:44,279 Speaker 1: coming in and for all of the expectations you know, 820 00:41:44,400 --> 00:41:47,000 Speaker 1: as you know, politics is often a game of expectations, 821 00:41:47,000 --> 00:41:50,080 Speaker 1: and they really fell short on the expectations piece of it. 822 00:41:50,160 --> 00:41:52,759 Speaker 1: And we know the nature of what this majority is. 823 00:41:52,960 --> 00:41:56,560 Speaker 1: And we know that that Kevin McCarthy is the presumptive leader, 824 00:41:56,560 --> 00:41:58,160 Speaker 1: who doesn't even have the votes as of now to 825 00:41:58,239 --> 00:42:00,759 Speaker 1: get to become the House Speaker, and he's going to have, 826 00:42:01,320 --> 00:42:04,319 Speaker 1: you know, so little margin for maneuvering that he could 827 00:42:04,320 --> 00:42:07,560 Speaker 1: be potentially ousted anytime. So a Democrats said to me 828 00:42:07,600 --> 00:42:09,240 Speaker 1: the other day, you know, it might be that becoming 829 00:42:09,280 --> 00:42:11,680 Speaker 1: the Republican House Speakers like being a British Prime minister 830 00:42:11,760 --> 00:42:14,680 Speaker 1: these days, revolving door is going to start. It's gonna 831 00:42:14,680 --> 00:42:17,880 Speaker 1: start swinging. That would be really really fun. Think about 832 00:42:17,920 --> 00:42:20,719 Speaker 1: what a two twenty or two nineteen majority means. I mean, 833 00:42:21,040 --> 00:42:24,560 Speaker 1: members of Congress find other jobs, they pass away like 834 00:42:25,120 --> 00:42:27,800 Speaker 1: it's possible that sometime in the next Congress the power 835 00:42:27,840 --> 00:42:31,839 Speaker 1: control shifts. As crazy as that is, And actually Jesse 836 00:42:32,000 --> 00:42:35,560 Speaker 1: and I were talking about this, every special election could 837 00:42:35,560 --> 00:42:38,080 Speaker 1: shift the power of the House. Yeah, that's why, I mean, 838 00:42:38,080 --> 00:42:39,919 Speaker 1: they're going to do everything they can to convince people 839 00:42:39,960 --> 00:42:41,520 Speaker 1: not to not to leave. I think that's actually one 840 00:42:41,520 --> 00:42:44,120 Speaker 1: reason that Pelosi, Horrier and Library are all sticking around. 841 00:42:44,120 --> 00:42:46,520 Speaker 1: They don't want to give Recarthia extra votes. Right, It's 842 00:42:47,040 --> 00:42:50,040 Speaker 1: it is that close but how McCarthy governs in that 843 00:42:50,120 --> 00:42:52,120 Speaker 1: I mean, being in the minority, you can do a 844 00:42:52,120 --> 00:42:55,439 Speaker 1: lot just with investigations and with you know, just being 845 00:42:55,480 --> 00:42:58,200 Speaker 1: what the other guys aren't. But ultimately he's going to 846 00:42:58,320 --> 00:43:01,719 Speaker 1: have to get teen votes for things, and sometimes that's 847 00:43:01,760 --> 00:43:04,600 Speaker 1: gonna be things that not everyone likes on the Republican side. 848 00:43:04,719 --> 00:43:06,880 Speaker 1: And that's gonna be where you see the real power 849 00:43:07,000 --> 00:43:09,920 Speaker 1: of a small band, which could be the moderate side, 850 00:43:09,920 --> 00:43:12,560 Speaker 1: it could be the Maga side, it could be any 851 00:43:12,600 --> 00:43:16,160 Speaker 1: any group of Republicans who feel emboldened. And Kevin McCarthy, 852 00:43:16,239 --> 00:43:17,719 Speaker 1: you know, he's got a reputation. I've done it for 853 00:43:17,760 --> 00:43:19,640 Speaker 1: a long time. He's he kind of likes being everyone's friend, 854 00:43:19,760 --> 00:43:21,240 Speaker 1: and this is not a job where you make friends. 855 00:43:21,239 --> 00:43:23,440 Speaker 1: Asked Nancy Pelosi about that. I'm going to add in 856 00:43:23,480 --> 00:43:27,000 Speaker 1: my own partisanship here. He's also an abject moron, so 857 00:43:27,120 --> 00:43:29,520 Speaker 1: that could be problematic for him, but I guess he does. 858 00:43:29,880 --> 00:43:32,759 Speaker 1: But I know people like him speaking of people who 859 00:43:33,080 --> 00:43:38,640 Speaker 1: people don't like. Representative Andy Biggs this morning at gets 860 00:43:38,680 --> 00:43:40,960 Speaker 1: on Twitter. I've seen enough I can of vote for 861 00:43:41,000 --> 00:43:43,319 Speaker 1: Kevin McCarthy as House Speaker. I do not believe he 862 00:43:43,360 --> 00:43:45,160 Speaker 1: will get to to e T and I refuse to 863 00:43:45,160 --> 00:43:48,480 Speaker 1: assist him in this effort to get those votes discuss. 864 00:43:48,800 --> 00:43:50,919 Speaker 1: I don't believe him. Matt Gates is saying the same things. 865 00:43:51,040 --> 00:43:54,080 Speaker 1: I've seen things like this playoff before, and Nancy Pelosi 866 00:43:54,160 --> 00:43:56,600 Speaker 1: had to herself piece together the votes after some self 867 00:43:56,640 --> 00:44:02,280 Speaker 1: election cycles. Ultimately, if the alternative is making a making 868 00:44:02,320 --> 00:44:06,399 Speaker 1: hockeym Jeffreys Speaker of the House, then then they're gonna 869 00:44:06,480 --> 00:44:09,000 Speaker 1: vote for Kevin McCarthy. There's gonna be deals cut, there's 870 00:44:09,000 --> 00:44:10,879 Speaker 1: gonna be people that hold their nose, there'll be people 871 00:44:10,960 --> 00:44:13,080 Speaker 1: voting present. So I mean, there's all kinds of like 872 00:44:13,160 --> 00:44:15,239 Speaker 1: side things that can happen to make it work. But 873 00:44:15,320 --> 00:44:18,479 Speaker 1: I I just don't see a viable alternative. And Andie Biggs, 874 00:44:18,520 --> 00:44:20,719 Speaker 1: who just tried to be that alternative, you know, a 875 00:44:20,719 --> 00:44:23,359 Speaker 1: couple dozen votes, you know, and I think ultimately he'll 876 00:44:23,360 --> 00:44:25,720 Speaker 1: get there. It's gonna be messy, it's gonna be ugly, 877 00:44:26,239 --> 00:44:29,000 Speaker 1: and he may lose it. I think he gets there. 878 00:44:29,040 --> 00:44:31,000 Speaker 1: And I think the Bigges and the Gates is of 879 00:44:31,040 --> 00:44:33,480 Speaker 1: the woman. Ultimately, you know, if they don't vote for him, 880 00:44:33,520 --> 00:44:35,960 Speaker 1: they know that voting against him isn't gonna stop him 881 00:44:35,960 --> 00:44:38,719 Speaker 1: from becoming speaker because there really is no alternative. And 882 00:44:38,719 --> 00:44:40,000 Speaker 1: I don't say that lightly. It's not just that there 883 00:44:40,040 --> 00:44:42,640 Speaker 1: isn't another person out there. The way the mechanics work 884 00:44:42,719 --> 00:44:44,680 Speaker 1: is the Democrats put up a candidate, the Republicans put 885 00:44:44,719 --> 00:44:46,920 Speaker 1: up a candidate, and one of them is going to 886 00:44:47,000 --> 00:44:49,920 Speaker 1: get a majority, and you want your team to win. Ultimately, 887 00:44:49,960 --> 00:44:52,719 Speaker 1: they'd rather have McCarthy than than Jeffreys hundred day out 888 00:44:52,719 --> 00:44:55,319 Speaker 1: of a hundred. Right, no, no, no question. I don't 889 00:44:55,320 --> 00:44:58,600 Speaker 1: know if you have this, but everyone I know, straight journalist, 890 00:44:58,760 --> 00:45:03,720 Speaker 1: opinion journalists, we all are having a lot of sort 891 00:45:03,760 --> 00:45:08,279 Speaker 1: of Donald Trump is back anxiety. Yeah. I think a 892 00:45:08,360 --> 00:45:10,279 Speaker 1: lot of Republicans are having it. I think a lot 893 00:45:10,320 --> 00:45:12,960 Speaker 1: of Democrats are having it. You know, there's a feeling 894 00:45:12,960 --> 00:45:15,279 Speaker 1: we shouldn't talk about him because that will make him 895 00:45:15,320 --> 00:45:17,640 Speaker 1: come true. There's a feeling that and you know he 896 00:45:17,719 --> 00:45:20,160 Speaker 1: lies a lot, so you don't want to promote the lies. 897 00:45:20,520 --> 00:45:24,440 Speaker 1: Is there a path to stopping this person from becoming, 898 00:45:25,040 --> 00:45:27,640 Speaker 1: you know, the European nominee? Because I don't see a 899 00:45:27,680 --> 00:45:30,080 Speaker 1: world where there is. I think a lot of things 900 00:45:30,160 --> 00:45:33,400 Speaker 1: have to happen. And if you remember how he became nominee, 901 00:45:33,440 --> 00:45:35,600 Speaker 1: the first time. You'll remember how messy it was, and 902 00:45:35,600 --> 00:45:36,880 Speaker 1: it was a function of the fact that there were 903 00:45:36,880 --> 00:45:39,440 Speaker 1: twenty different Republicans running and they were all, you know, 904 00:45:39,520 --> 00:45:42,080 Speaker 1: cannablyzing each other's votes, and he was winning with small amounts. 905 00:45:42,400 --> 00:45:44,839 Speaker 1: I don't think he definitely loses. I also don't think 906 00:45:44,840 --> 00:45:47,480 Speaker 1: he definitely wins. I think the path runs through the 907 00:45:47,520 --> 00:45:51,719 Speaker 1: Republican primaries first and foremost, because right, but the primaries 908 00:45:51,760 --> 00:45:56,560 Speaker 1: are already easier now. They're more consolidated, so they're easier 909 00:45:56,840 --> 00:46:00,640 Speaker 1: now to explain to me. Well, yes, there's some things 910 00:46:00,640 --> 00:46:02,680 Speaker 1: that make it easier to start running away with it 911 00:46:02,719 --> 00:46:05,160 Speaker 1: early on if you start listening some early victories. But 912 00:46:05,680 --> 00:46:07,279 Speaker 1: there's so much of that's happen for then. I mean, 913 00:46:07,360 --> 00:46:08,920 Speaker 1: this is what I thought about his announcement. I mean, 914 00:46:09,160 --> 00:46:11,080 Speaker 1: we are literally two years away from the election, like 915 00:46:11,080 --> 00:46:13,960 Speaker 1: we're gonna go through a whole other Thanksgiving and Christmas 916 00:46:14,040 --> 00:46:16,680 Speaker 1: and still no one will have voted next year, and 917 00:46:16,760 --> 00:46:20,200 Speaker 1: so there's a lot of baseball tweve And the big difference, 918 00:46:20,520 --> 00:46:23,920 Speaker 1: you know, between this cycle and the last is that 919 00:46:24,000 --> 00:46:25,879 Speaker 1: you know, we've been there and done that. On Donald Trump, 920 00:46:25,920 --> 00:46:28,359 Speaker 1: he isn't the flashy new thing, and there are really 921 00:46:28,400 --> 00:46:31,600 Speaker 1: appealing to Republicans other candidates out there. He's not going 922 00:46:31,600 --> 00:46:34,640 Speaker 1: to be alone in this primary. I'm convinced that. So 923 00:46:34,719 --> 00:46:36,480 Speaker 1: let's just game this out for a minute, because I 924 00:46:36,520 --> 00:46:38,520 Speaker 1: agree he's not going to be alone in this primary. 925 00:46:38,560 --> 00:46:41,640 Speaker 1: Which is why I think he might win this primary. 926 00:46:41,719 --> 00:46:46,359 Speaker 1: Because he has this relationship with his base, right, like it. 927 00:46:46,440 --> 00:46:49,600 Speaker 1: Don't like it. He's like the grateful dad. Right. People 928 00:46:49,600 --> 00:46:53,000 Speaker 1: go to his concerts, they wear T shirts, they drive. 929 00:46:53,200 --> 00:46:56,000 Speaker 1: I mean, it may still be the same two thousand 930 00:46:56,040 --> 00:46:59,440 Speaker 1: people going to each one, but they go. So here's 931 00:46:59,480 --> 00:47:03,160 Speaker 1: my question for you. This guy has the die hard base, right. 932 00:47:03,239 --> 00:47:06,040 Speaker 1: So say you have Mike pens right, and you have 933 00:47:06,080 --> 00:47:10,200 Speaker 1: Mike Pompeio, and you have Ted Cruz, and you have Marco, 934 00:47:10,320 --> 00:47:12,680 Speaker 1: and you have this one, you have that one. Doesn't 935 00:47:12,719 --> 00:47:15,920 Speaker 1: Donald Trump? Then even isn't he even more likely to 936 00:47:15,920 --> 00:47:18,439 Speaker 1: win the primary? Of that depends on what the whole, 937 00:47:18,640 --> 00:47:20,160 Speaker 1: what the home makeup of it is, And I think, yeah, 938 00:47:20,320 --> 00:47:23,120 Speaker 1: it's if it's like twenty candidates again, and he's got 939 00:47:23,239 --> 00:47:28,200 Speaker 1: his his band of of supporters or the party, then 940 00:47:28,320 --> 00:47:30,200 Speaker 1: then yeah, I think he's in a really good spot. 941 00:47:30,440 --> 00:47:32,480 Speaker 1: But like you know, I'm not a music guy. So 942 00:47:32,480 --> 00:47:34,840 Speaker 1: I'm probably gonna get this analogy wrong. But like grateful 943 00:47:34,920 --> 00:47:38,200 Speaker 1: Dud fans also like Dave Matthews band, right, Like, there's 944 00:47:38,239 --> 00:47:40,400 Speaker 1: there's other, there's other there's other music that might they 945 00:47:40,440 --> 00:47:42,239 Speaker 1: might want to groove to at some point. I don't 946 00:47:42,239 --> 00:47:44,799 Speaker 1: think that that will be perceived as some disloyalty to Trump. 947 00:47:45,080 --> 00:47:47,200 Speaker 1: We've talked to a lot of Trump supporters at rallies 948 00:47:47,200 --> 00:47:48,840 Speaker 1: and around the country say I love the guy, but 949 00:47:48,880 --> 00:47:52,360 Speaker 1: he's just too polarizing, or he's just two out there 950 00:47:52,400 --> 00:47:54,359 Speaker 1: in the January six was too much, whatever, the thing 951 00:47:54,400 --> 00:47:56,560 Speaker 1: that's abridged too far. The people at his rallies are 952 00:47:56,560 --> 00:47:58,080 Speaker 1: the people those rallies, and I think you're right they 953 00:47:58,239 --> 00:48:00,799 Speaker 1: run through fire for him. But man, we talked to them. 954 00:48:00,800 --> 00:48:03,040 Speaker 1: They like Rhonda Santis a lot too, you know, and 955 00:48:03,040 --> 00:48:05,920 Speaker 1: and they could be talked into liking a lot of 956 00:48:05,960 --> 00:48:08,640 Speaker 1: other people if there is a robust primary debate so 957 00:48:08,680 --> 00:48:10,839 Speaker 1: all of us. I'm not saying he can't win. We can, 958 00:48:11,080 --> 00:48:12,960 Speaker 1: but I'm not saying he definitely will. I I don't 959 00:48:13,000 --> 00:48:15,239 Speaker 1: think we can look to the last cycle to be 960 00:48:15,280 --> 00:48:18,319 Speaker 1: instructive in any way, shape or form, just because it's 961 00:48:18,320 --> 00:48:20,880 Speaker 1: gonna be different. The issues will be different, the stakes 962 00:48:20,920 --> 00:48:24,240 Speaker 1: will feel different, the pacing of the campaign will be different. 963 00:48:24,280 --> 00:48:28,120 Speaker 1: There's no modern precedent for a former president coming back 964 00:48:28,200 --> 00:48:30,120 Speaker 1: and trying to do this. The only even go back 965 00:48:30,120 --> 00:48:31,960 Speaker 1: to Teddy Roosevelt, and he ended up starting his own 966 00:48:32,000 --> 00:48:33,440 Speaker 1: party as a result of it. And we can't look 967 00:48:33,440 --> 00:48:35,160 Speaker 1: at any piece of history to be instructive on this, 968 00:48:35,239 --> 00:48:37,279 Speaker 1: I think, including Trump's history. So I you know, I 969 00:48:37,280 --> 00:48:40,600 Speaker 1: think for liberals or even Republicans who are alarmed by 970 00:48:40,640 --> 00:48:43,120 Speaker 1: Donald Trump, I say, then you know you're gonna have 971 00:48:43,160 --> 00:48:45,239 Speaker 1: your workout out for you. But I don't think there's 972 00:48:45,239 --> 00:48:47,480 Speaker 1: any inevitability around him, which, again, like a month or 973 00:48:47,480 --> 00:48:48,960 Speaker 1: two ago, might have been different. I think if this 974 00:48:49,040 --> 00:48:51,080 Speaker 1: was a better election cycle for him or his candidates, 975 00:48:51,280 --> 00:48:52,840 Speaker 1: maybe that would have been different. If it was a 976 00:48:52,880 --> 00:48:55,600 Speaker 1: worse election cycle for Rhonda Santis, maybe that would be different. 977 00:48:55,640 --> 00:48:57,680 Speaker 1: There will be other Rhonda Santis is over the over 978 00:48:57,719 --> 00:49:00,040 Speaker 1: the next you know, six to twelve months there that 979 00:49:00,080 --> 00:49:01,760 Speaker 1: are going to emerge and it's going to be a battle. 980 00:49:01,800 --> 00:49:04,279 Speaker 1: And by the way, if he loses the battle, I 981 00:49:04,320 --> 00:49:07,000 Speaker 1: don't know many Republicans who think he's just gonna, you know, 982 00:49:07,120 --> 00:49:10,960 Speaker 1: quietly concede and fade away and endorse the new nominee. 983 00:49:11,040 --> 00:49:13,560 Speaker 1: I mean, that could be a real disaster for Republicans 984 00:49:13,680 --> 00:49:16,200 Speaker 1: if he if he loses and doesn't accept it and 985 00:49:16,239 --> 00:49:18,080 Speaker 1: tries to burn the party down on his way out. 986 00:49:18,120 --> 00:49:20,239 Speaker 1: He was close to vaulting the party after January six, 987 00:49:20,400 --> 00:49:21,920 Speaker 1: and if he loses this time, or I mean may 988 00:49:21,920 --> 00:49:24,200 Speaker 1: have done it if he lost the primer, and so 989 00:49:24,239 --> 00:49:26,080 Speaker 1: I think there's a lot that has to get figured 990 00:49:26,080 --> 00:49:28,560 Speaker 1: out before we're talking about him as a nominee. Thank 991 00:49:28,600 --> 00:49:31,680 Speaker 1: you so much. That was great, Rick, Thank you, You're welcome, 992 00:49:31,880 --> 00:49:40,359 Speaker 1: my pleasure. Molly John Fast Jesse Cannon didn't take long 993 00:49:40,400 --> 00:49:44,200 Speaker 1: for Kevin McCarthy to be influenced by the MTG wing 994 00:49:44,239 --> 00:49:47,600 Speaker 1: of the party. I thought, for a second, when it 995 00:49:47,640 --> 00:49:52,040 Speaker 1: took Republicans so long to win the House, I think 996 00:49:52,040 --> 00:49:55,120 Speaker 1: there's still at like to eighteen. Maybe there's one more 997 00:49:55,200 --> 00:49:57,399 Speaker 1: race being called. You know, they have the House by 998 00:49:58,440 --> 00:50:04,400 Speaker 1: historically slim margin. I thought perhaps that might cause Republicans 999 00:50:04,520 --> 00:50:10,719 Speaker 1: to not act in the completely demented fashion I knew 1000 00:50:10,760 --> 00:50:15,880 Speaker 1: they would, but humiliates for them, I mean, you got it. 1001 00:50:16,080 --> 00:50:19,600 Speaker 1: You know, it's the Marjorie Taylor Green caucus now and 1002 00:50:19,640 --> 00:50:24,840 Speaker 1: the MAGA Caucus controls what poor dumb Mike Kevin a 1003 00:50:25,000 --> 00:50:28,839 Speaker 1: k A Kevin McCarthy MTG is pulling the strings. And 1004 00:50:28,920 --> 00:50:32,400 Speaker 1: the first string she's going to Paul is, according to 1005 00:50:32,600 --> 00:50:36,720 Speaker 1: young Kevin, he's going to remove some of the friends 1006 00:50:36,800 --> 00:50:39,319 Speaker 1: of this show, members of Congress who are friends of 1007 00:50:39,360 --> 00:50:42,719 Speaker 1: the show from their committees, including Eric swaltwell as well 1008 00:50:42,760 --> 00:50:46,840 Speaker 1: as Adam Schiff and Ilhan Omar. So he's already doesn't 1009 00:50:46,840 --> 00:50:50,719 Speaker 1: even have the gabble yet, not till January, but already 1010 00:50:51,280 --> 00:50:57,920 Speaker 1: he's planning ways to behave badly and stunts. MAGA is 1011 00:50:57,960 --> 00:51:01,560 Speaker 1: all about stunts, and Kevin will be performing lots of stunts. 1012 00:51:01,640 --> 00:51:03,640 Speaker 1: And don't you think this is all about trying to 1013 00:51:03,680 --> 00:51:07,200 Speaker 1: make it look like his party isn't as bad as 1014 00:51:07,239 --> 00:51:09,839 Speaker 1: it is that when we threw MTG out. He's now 1015 00:51:09,880 --> 00:51:13,240 Speaker 1: trying to pretend that somehow these Congress people are equivalent 1016 00:51:13,320 --> 00:51:16,000 Speaker 1: to it. Yeah, of course that's the whole idea. And 1017 00:51:16,480 --> 00:51:20,680 Speaker 1: he's trying to make a false equivalency and say that 1018 00:51:21,160 --> 00:51:24,560 Speaker 1: Adam Scheff is the same as Marjorie Taylor Green and 1019 00:51:24,640 --> 00:51:29,120 Speaker 1: we all know that there is literally no parity. And 1020 00:51:29,200 --> 00:51:34,080 Speaker 1: so for that, the simple, simple soon to be Speaker 1021 00:51:34,120 --> 00:51:36,640 Speaker 1: of the House, though for how long no one knows. 1022 00:51:37,239 --> 00:51:41,640 Speaker 1: Kevin McCarthy gets a hearty fuck you. That's it for 1023 00:51:41,680 --> 00:51:45,520 Speaker 1: this episode of Fast Politics. Tune in every Monday, Wednesday, 1024 00:51:45,520 --> 00:51:48,439 Speaker 1: and Friday to hear the best minds in politics makes 1025 00:51:48,480 --> 00:51:51,800 Speaker 1: sense of all this chaos. If you enjoyed what you've heard, 1026 00:51:52,160 --> 00:51:55,040 Speaker 1: please send it to a friend and keep the conversation going. 1027 00:51:55,480 --> 00:52:00,200 Speaker 1: And again, thanks for listening. E