1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,400 --> 00:00:07,160 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,880 Speaker 1: today's best minds, and Donald Trump's board of pieces official 4 00:00:11,960 --> 00:00:18,800 Speaker 1: fund has received zero dollars despite billions being pledged. Sure, 5 00:00:19,200 --> 00:00:21,760 Speaker 1: we have such a great show for you today. Ms 6 00:00:21,880 --> 00:00:26,079 Speaker 1: naw's Ali Velsche stops by to talk about Trump going 7 00:00:26,200 --> 00:00:30,440 Speaker 1: into the mid terms with a slight filled with bad candidates. 8 00:00:30,680 --> 00:00:34,640 Speaker 1: Then we'll talk to Semaphor's Dave Weigel about the trends 9 00:00:34,760 --> 00:00:37,640 Speaker 1: he's seeing in the primary field. 10 00:00:38,000 --> 00:00:41,000 Speaker 2: Somali, we knew it was going to happen. Ken Paxton 11 00:00:41,200 --> 00:00:45,639 Speaker 2: has prevailed against John Cordon, unprecedented loss in the modern Narra. 12 00:00:45,680 --> 00:00:47,960 Speaker 2: It's been half a century since we had something like this. 13 00:00:48,159 --> 00:00:51,919 Speaker 2: But there was lots of other interesting things down in Texas, 14 00:00:51,960 --> 00:00:56,560 Speaker 2: including a anti Semitic sex therapist who is like half Maha, 15 00:00:57,120 --> 00:00:59,440 Speaker 2: half left wing weirdo losing her race. 16 00:01:00,000 --> 00:01:02,120 Speaker 1: I just want to pause for a second to talk 17 00:01:02,200 --> 00:01:07,319 Speaker 1: about the Cornin Paxton race runoff. One hundred and thirty 18 00:01:07,880 --> 00:01:13,880 Speaker 1: million dollars spent on a Republican against Republican primary that 19 00:01:14,040 --> 00:01:19,720 Speaker 1: pitted an incumbent who could theoretically win in a more 20 00:01:20,360 --> 00:01:23,760 Speaker 1: normal field right outside of the primary and more of 21 00:01:23,800 --> 00:01:28,000 Speaker 1: an appealing centrist. I mean, I don't find him appealing. 22 00:01:28,040 --> 00:01:30,280 Speaker 1: He votes with Magga ninety one percent of the time, 23 00:01:30,360 --> 00:01:35,319 Speaker 1: but he has some sort of actual values that aren't 24 00:01:35,400 --> 00:01:39,720 Speaker 1: just I love Trump versus Ken Paxton, who has been 25 00:01:39,800 --> 00:01:45,080 Speaker 1: impeached but not removed. He is has numerous allegations of adultery, 26 00:01:45,520 --> 00:01:49,760 Speaker 1: is in the middle of a divorce again with his wife, Angela, 27 00:01:49,920 --> 00:01:53,560 Speaker 1: who is a Texas state senator who did not vote 28 00:01:53,840 --> 00:01:57,640 Speaker 1: to impeach him because she was not allowed to. You know, 29 00:01:57,720 --> 00:02:00,600 Speaker 1: you're not allowed to vote in impeachment and if you 30 00:02:00,640 --> 00:02:04,920 Speaker 1: are married to the person who is being impeached. That said, 31 00:02:05,120 --> 00:02:07,720 Speaker 1: this divorce is not settled. It is supposed to go 32 00:02:07,800 --> 00:02:11,400 Speaker 1: to court during the election, which is incredible. 33 00:02:11,720 --> 00:02:14,720 Speaker 2: I like the detail that she's divorcing on biblical reasons. 34 00:02:15,000 --> 00:02:19,320 Speaker 1: Biblical reasons. You know what that means? Not good? 35 00:02:19,600 --> 00:02:20,960 Speaker 2: You don't you know what it means. It's a thing 36 00:02:21,000 --> 00:02:23,520 Speaker 2: I never hear of any what we know having events 37 00:02:24,120 --> 00:02:25,160 Speaker 2: the reasons. 38 00:02:26,080 --> 00:02:30,200 Speaker 1: But I mean, Ken Daxton is like a laundry list. 39 00:02:30,240 --> 00:02:33,440 Speaker 1: He makes Donald Trump looks look like a really good 40 00:02:33,480 --> 00:02:36,760 Speaker 1: mainstream candidate. You know, he's trumpier than Trump and By 41 00:02:36,800 --> 00:02:39,239 Speaker 1: the way, the New York Times has some really good 42 00:02:39,280 --> 00:02:42,480 Speaker 1: reporting on Paxton. He has grown his net worth in 43 00:02:42,600 --> 00:02:46,359 Speaker 1: a way that would make Paul Pelosi pretty jealous. 44 00:02:46,440 --> 00:02:49,600 Speaker 2: I like the interesting fact that one of Betto's big 45 00:02:49,639 --> 00:02:53,160 Speaker 2: criticisms when running against these guys was that he didn't 46 00:02:53,200 --> 00:02:57,320 Speaker 2: go attacks against them, and Team tall Rico went right 47 00:02:57,400 --> 00:03:00,000 Speaker 2: out the second he got the navidation said the most 48 00:03:00,080 --> 00:03:02,160 Speaker 2: corrupt a politician in America. 49 00:03:02,240 --> 00:03:04,840 Speaker 1: Yeah, and he's not wrong. Tell Rico's campaign has taken 50 00:03:04,919 --> 00:03:09,520 Speaker 1: lessons from both Bedo and Colin Alred and his campaigns, 51 00:03:09,600 --> 00:03:12,679 Speaker 1: and he's really like learned from them. Now again, does 52 00:03:12,680 --> 00:03:15,480 Speaker 1: that mean he'll when Who knows, But they definitely have 53 00:03:15,800 --> 00:03:19,640 Speaker 1: really tried all of these things. It's also really interesting 54 00:03:19,720 --> 00:03:25,120 Speaker 1: to see this primary because remember the NRSC Republican Senate 55 00:03:25,520 --> 00:03:30,440 Speaker 1: Campaign arm had been supporting Cornin up until like really 56 00:03:31,080 --> 00:03:34,840 Speaker 1: until Paxton won, So they poured millions and millions of 57 00:03:34,880 --> 00:03:38,520 Speaker 1: dollars into propping up Cornan. And also, you know, Trump 58 00:03:38,600 --> 00:03:42,120 Speaker 1: did this last minute endorsement of Paxton. And I really 59 00:03:42,200 --> 00:03:44,960 Speaker 1: do think the reason that Trump did this endorsement was 60 00:03:45,000 --> 00:03:48,120 Speaker 1: because Trump felt that he could see the writing on 61 00:03:48,160 --> 00:03:50,600 Speaker 1: the wall. He knew Paxton was going to win. And 62 00:03:50,720 --> 00:03:54,560 Speaker 1: remember Trump's whole thing is like, yes, he's doing his vendettas, 63 00:03:54,640 --> 00:03:57,680 Speaker 1: he's trying to knock out people who he considers to 64 00:03:57,720 --> 00:04:00,680 Speaker 1: be disloyal, But some of it is also Trump just 65 00:04:00,720 --> 00:04:04,040 Speaker 1: wants to win and he doesn't really care like he 66 00:04:04,160 --> 00:04:07,440 Speaker 1: wants to win in these primaries, and he doesn't necessarily 67 00:04:07,680 --> 00:04:10,720 Speaker 1: he can't think through second order effects, just like what 68 00:04:10,760 --> 00:04:14,120 Speaker 1: we saw Andy Ron, So he doesn't ever think through 69 00:04:14,240 --> 00:04:17,599 Speaker 1: like what it would mean like Paxton, Well, Paxton have 70 00:04:17,680 --> 00:04:21,559 Speaker 1: a harder time winning like everyone else in the world, 71 00:04:21,640 --> 00:04:23,880 Speaker 1: is like yes, yes, yes, and Donald Trump's like, you know, 72 00:04:24,200 --> 00:04:26,760 Speaker 1: does it can't get there And so that's kind of 73 00:04:26,920 --> 00:04:30,640 Speaker 1: interesting to watch him just pick these candidates who he 74 00:04:30,800 --> 00:04:34,240 Speaker 1: thinks will win and not really care what happens next 75 00:04:34,360 --> 00:04:37,000 Speaker 1: or not really understand that he's setting himself up for 76 00:04:37,080 --> 00:04:37,800 Speaker 1: problems later. 77 00:04:38,120 --> 00:04:41,680 Speaker 2: Yes, So speaking of Colin already he unseated Rep. 78 00:04:41,800 --> 00:04:44,400 Speaker 1: Julie Johnson, the woman who replaced him. 79 00:04:44,920 --> 00:04:49,440 Speaker 2: Yeah, and we saw longtime Rep. Al Green defeated by 80 00:04:49,480 --> 00:04:53,760 Speaker 2: Christian Menefee. I was loved of two minds. Yeah, like 81 00:04:53,839 --> 00:04:55,880 Speaker 2: he's a little too old, but I like a lot 82 00:04:55,920 --> 00:04:59,039 Speaker 2: of things about al Green's voice in Congress. But I 83 00:04:59,160 --> 00:05:02,000 Speaker 2: also don't think we should be serving when we're this sold. 84 00:05:02,160 --> 00:05:04,640 Speaker 1: Okay, so al Green is eighty years old, so he's 85 00:05:05,000 --> 00:05:07,240 Speaker 1: the same age as President Trump. Here's what I would 86 00:05:07,279 --> 00:05:09,520 Speaker 1: say about Al Green. I have very mixed feelings about 87 00:05:09,520 --> 00:05:12,479 Speaker 1: Al Green because I like that he tried to He's 88 00:05:12,560 --> 00:05:17,080 Speaker 1: constantly trying to impeach Trump. You'll remember that Nancy Pelosi, 89 00:05:17,279 --> 00:05:20,840 Speaker 1: way back in season one of this fiasco, kept trying 90 00:05:20,880 --> 00:05:23,719 Speaker 1: to get him not to try to impeach Trump before 91 00:05:24,240 --> 00:05:26,800 Speaker 1: there were the votes for it. There's a case to 92 00:05:26,839 --> 00:05:29,360 Speaker 1: be made that trying to impeach Trump before there are 93 00:05:29,440 --> 00:05:32,760 Speaker 1: votes hurts your case. I don't know. I mean, look, 94 00:05:32,839 --> 00:05:34,840 Speaker 1: this is a I have a lot of mixed feelings 95 00:05:34,839 --> 00:05:38,080 Speaker 1: than you do too, because the younger candidate got a 96 00:05:38,200 --> 00:05:39,840 Speaker 1: lot of money from Crypto. 97 00:05:40,200 --> 00:05:45,360 Speaker 2: Relied heavily unpacks, and I'm skeptical of all pack funding 98 00:05:45,640 --> 00:05:48,080 Speaker 2: in these races. I want Citizens United to pass, and 99 00:05:48,120 --> 00:05:50,080 Speaker 2: I don't really love all this being involved. 100 00:05:50,200 --> 00:05:54,599 Speaker 1: He's relied heavily unpacks. Obviously, what matters more is winning, 101 00:05:55,160 --> 00:05:57,960 Speaker 1: especially right now, and purity, and you and I both 102 00:05:57,960 --> 00:06:01,400 Speaker 1: agree that purity does not matter as much just beating Republicans, 103 00:06:01,560 --> 00:06:06,280 Speaker 1: especially right now. But that said, it's a tough line 104 00:06:06,320 --> 00:06:10,160 Speaker 1: to walk. I hear you breathing, but I'm correct, purity 105 00:06:10,279 --> 00:06:11,880 Speaker 1: is not the game at this moment. 106 00:06:12,040 --> 00:06:16,800 Speaker 2: I agree. So the DCC has received a lot of criticism, 107 00:06:16,920 --> 00:06:20,159 Speaker 2: but it's an interesting conversation that they've been messing around 108 00:06:20,160 --> 00:06:22,880 Speaker 2: with these primaries. But what they have also been trying 109 00:06:22,880 --> 00:06:25,760 Speaker 2: to do is they've been tried to protect from Republican 110 00:06:25,880 --> 00:06:29,160 Speaker 2: interference in the primaries for them to get the candidates 111 00:06:29,160 --> 00:06:32,560 Speaker 2: they want, just as What's beyond the DCC regularly tries 112 00:06:32,560 --> 00:06:34,280 Speaker 2: to get the candidates they want to run against it. 113 00:06:34,440 --> 00:06:37,400 Speaker 2: So there's some interesting stuff here of that they've been 114 00:06:37,440 --> 00:06:40,640 Speaker 2: funding before the primary is over. What are you feeling here? 115 00:06:40,800 --> 00:06:43,720 Speaker 1: So there's a lot of complicated stuff here. I think 116 00:06:43,760 --> 00:06:49,039 Speaker 1: the dcc C has done some good stuff. It's also 117 00:06:49,160 --> 00:06:52,320 Speaker 1: you know, again, like there was a primary in Texas, 118 00:06:52,480 --> 00:06:56,400 Speaker 1: a House primary and this is one of the redrawn seats, 119 00:06:56,680 --> 00:07:02,040 Speaker 1: and the Republicans had a group they started called Lead 120 00:07:02,200 --> 00:07:06,680 Speaker 1: Left pac. So the DCC has been spending money trying 121 00:07:07,080 --> 00:07:11,440 Speaker 1: to boost the candidates who have a better chance of winning, 122 00:07:11,480 --> 00:07:14,560 Speaker 1: which I think some of these it's really true. Like Brooks, 123 00:07:14,640 --> 00:07:17,280 Speaker 1: we had him on this podcast he's got that sort 124 00:07:17,320 --> 00:07:22,480 Speaker 1: of populist thing going. He was a labor leader, a firefighter. 125 00:07:22,920 --> 00:07:25,200 Speaker 1: You know. Look, this is what happens when you are 126 00:07:25,240 --> 00:07:28,720 Speaker 1: in an information desert, where voters cannot get the information 127 00:07:28,840 --> 00:07:32,480 Speaker 1: they need to make good decisions, and so they don't 128 00:07:32,520 --> 00:07:36,880 Speaker 1: know who is a real Democrat and who is a 129 00:07:36,920 --> 00:07:40,760 Speaker 1: sex therapist, who's mah. And that's what we're seeing here 130 00:07:40,880 --> 00:07:43,640 Speaker 1: is that the DCC is trying to educate people, but 131 00:07:43,920 --> 00:07:48,960 Speaker 1: they're also sometimes trying to meddle when candidates seem to lefty. 132 00:07:49,400 --> 00:07:53,120 Speaker 2: So we have one of the greatest self inflicted injuries 133 00:07:53,160 --> 00:07:56,320 Speaker 2: to an economy of all time, Trump's tariff policy, and 134 00:07:56,480 --> 00:07:59,000 Speaker 2: twenty billion in terif rey funds have been paid so far, 135 00:07:59,160 --> 00:07:59,920 Speaker 2: with more on the wing. 136 00:08:00,240 --> 00:08:03,800 Speaker 1: Yeah. So, Donald Trump, when not launching foreign wars that 137 00:08:03,840 --> 00:08:06,120 Speaker 1: he said he never was going to do, that raised 138 00:08:06,120 --> 00:08:09,440 Speaker 1: gas prices more than a dollar when not a dollar gallon. 139 00:08:09,680 --> 00:08:13,160 Speaker 1: When not doing that, Donald Trump is engaging in tariffs. 140 00:08:13,160 --> 00:08:16,360 Speaker 1: He loves tariffs. There are the sweetest words in the 141 00:08:16,360 --> 00:08:20,000 Speaker 1: English language. Trade wars are good and easy to win. Well, now, 142 00:08:20,080 --> 00:08:23,120 Speaker 1: twenty billion in tariff refunds have been paid so far, 143 00:08:23,320 --> 00:08:27,040 Speaker 1: with more on the way. The Trump administration has they 144 00:08:27,080 --> 00:08:31,120 Speaker 1: are paying refunds and tariffs to importer shippers. This is 145 00:08:31,160 --> 00:08:35,440 Speaker 1: because the Supreme Court, well, being very trumpy, is still 146 00:08:36,000 --> 00:08:40,280 Speaker 1: not trumpy enough to let Donald Trump do everything he wants. 147 00:08:40,400 --> 00:08:44,960 Speaker 1: And so sometimes they side with the Club for Growth 148 00:08:45,360 --> 00:08:49,600 Speaker 1: and the Koch Brothers and make sure that Donald Trump 149 00:08:49,679 --> 00:08:54,480 Speaker 1: does not necessarily get to completely impede free trade and 150 00:08:54,520 --> 00:08:57,440 Speaker 1: the way he wants. But again, like prices don't just 151 00:08:57,600 --> 00:09:02,520 Speaker 1: go down, right because the tariffs And that's something we're 152 00:09:02,559 --> 00:09:06,120 Speaker 1: seeing is that tariffs are you know, Donald Trump continues 153 00:09:06,160 --> 00:09:08,720 Speaker 1: to threaten to raise them. I don't know what the 154 00:09:08,760 --> 00:09:11,880 Speaker 1: tariffs are now. Importers are still paying a blanket ten 155 00:09:11,920 --> 00:09:15,320 Speaker 1: percent tariff despite the fact that some of these tariffs 156 00:09:15,320 --> 00:09:18,000 Speaker 1: have been struck down and Trump has threatened to raise 157 00:09:18,040 --> 00:09:21,400 Speaker 1: it to fifteen percent. And this is like a great 158 00:09:21,520 --> 00:09:25,079 Speaker 1: example of how there's not a lot of stability in 159 00:09:25,120 --> 00:09:29,400 Speaker 1: the in being ruled by Donald Trump. So we have 160 00:09:30,120 --> 00:09:33,160 Speaker 1: tariffs that go on and go up and down and 161 00:09:33,240 --> 00:09:36,400 Speaker 1: make no sense, Like you know, we just it's impossible 162 00:09:36,440 --> 00:09:39,400 Speaker 1: if you're a business owner, how do you plan when 163 00:09:39,440 --> 00:09:42,760 Speaker 1: you live in this craziness where a president who's just 164 00:09:42,920 --> 00:09:45,440 Speaker 1: super emotional about everything yep. 165 00:09:45,960 --> 00:09:48,160 Speaker 2: So one of the things that we could have seen 166 00:09:48,720 --> 00:09:54,000 Speaker 2: million miles away is that trying to govern popularly with 167 00:09:54,280 --> 00:09:58,880 Speaker 2: the Maha Coalition and the Maga Coalition is an impossible deed, 168 00:09:59,120 --> 00:10:02,240 Speaker 2: and that especially gets more impossible when you have looming 169 00:10:02,320 --> 00:10:05,160 Speaker 2: threats of pandemics coming your way. And what we are 170 00:10:05,200 --> 00:10:08,760 Speaker 2: seeing now is RFK Junior, when he's not handling snakes, 171 00:10:09,200 --> 00:10:10,760 Speaker 2: is really pissing off his base. 172 00:10:11,040 --> 00:10:13,800 Speaker 1: It's so funny because like the haunt of virus, the 173 00:10:13,840 --> 00:10:17,240 Speaker 1: people who got exposed to it were bird watching at 174 00:10:17,320 --> 00:10:20,600 Speaker 1: a dump, right, bird watching a dump. That's how they 175 00:10:20,640 --> 00:10:24,719 Speaker 1: got exposed to a disease that is from rodents, right, 176 00:10:24,760 --> 00:10:27,640 Speaker 1: it's from bugs on roads like the Black Blake, which 177 00:10:27,640 --> 00:10:31,920 Speaker 1: you may remember from the last period of It's not 178 00:10:32,040 --> 00:10:34,559 Speaker 1: quite we're not quite in the Middle Ages, but there 179 00:10:34,559 --> 00:10:37,240 Speaker 1: are parallels. I just think about RFK Junior and I 180 00:10:37,240 --> 00:10:39,600 Speaker 1: think about all the stories of him, like catching snakes, 181 00:10:39,920 --> 00:10:43,760 Speaker 1: cutting the penis off a piece of roadkale, cutting the 182 00:10:43,840 --> 00:10:47,120 Speaker 1: head off of another piece. Didn't he cut the head 183 00:10:47,120 --> 00:10:48,720 Speaker 1: off of a whale? 184 00:10:48,840 --> 00:10:52,559 Speaker 3: I can't keep up. I'm gonna be but RFK. 185 00:10:52,360 --> 00:10:56,800 Speaker 1: Junior is constantly doing like really disgusting stuff that seems 186 00:10:56,840 --> 00:10:59,440 Speaker 1: like you could catch a disease from But anyway, the 187 00:10:59,480 --> 00:11:04,679 Speaker 1: point of the is RFK Junior has this insane coalition MAHA, 188 00:11:04,720 --> 00:11:11,240 Speaker 1: which basically is anti vax and anti anti, anti anti whatever. 189 00:11:11,760 --> 00:11:14,400 Speaker 1: And so now he's in trouble with his own people 190 00:11:15,000 --> 00:11:19,000 Speaker 1: because he is because drug makers are trying to make 191 00:11:19,120 --> 00:11:23,160 Speaker 1: a vaccine for the hauntavirus so that it doesn't kill everyone. 192 00:11:23,520 --> 00:11:27,439 Speaker 1: And here's the problem with MAHA. They are anti vacs. 193 00:11:27,840 --> 00:11:33,200 Speaker 1: So well, RFK Junior wants drug companies to try to 194 00:11:33,360 --> 00:11:37,720 Speaker 1: make some treatments or vaccines. He's got a real problem 195 00:11:37,760 --> 00:11:41,719 Speaker 1: here because his lunatic coalition does not like vas. I mean, 196 00:11:41,760 --> 00:11:46,760 Speaker 1: this is so easily avoidable by not lying to your supporters, 197 00:11:47,040 --> 00:11:49,480 Speaker 1: but it doesn't matter. So Kenny's got a real problem. 198 00:11:49,559 --> 00:11:52,920 Speaker 1: And by the way, like there's hantavirus and there's a bola. 199 00:11:52,960 --> 00:11:55,600 Speaker 1: I mean, a bola is not airborne, So that's good 200 00:11:55,640 --> 00:11:58,800 Speaker 1: news because that would really be scary. These are both 201 00:11:58,880 --> 00:12:02,400 Speaker 1: sort of harder to so that's good news. But these 202 00:12:02,400 --> 00:12:07,120 Speaker 1: are both really scary, and they have much higher fatality 203 00:12:07,200 --> 00:12:11,800 Speaker 1: rates than COVID, and you know, this is scary stuff. 204 00:12:11,800 --> 00:12:14,720 Speaker 1: And we just went through a pandemic where all of 205 00:12:14,720 --> 00:12:17,640 Speaker 1: our lives were upended and it was really tough. So 206 00:12:17,880 --> 00:12:22,240 Speaker 1: this is not a great moment. But first the news. 207 00:12:22,480 --> 00:12:24,800 Speaker 1: Ali Velshi is an anchor from is now as well 208 00:12:24,840 --> 00:12:28,240 Speaker 1: as the co host of emmas Now's YouTube live show, 209 00:12:28,720 --> 00:12:33,080 Speaker 1: It's Happening with velchi enruled Welcome and welcome Ali Velshi. 210 00:12:33,880 --> 00:12:35,320 Speaker 3: It is good to be with you, my friend. 211 00:12:35,600 --> 00:12:37,840 Speaker 1: It's fun for you to come on my show, so 212 00:12:37,880 --> 00:12:41,120 Speaker 1: that then I can go on your show, and that's right, 213 00:12:41,160 --> 00:12:45,040 Speaker 1: and we can talk about totally different So Texas Primary, 214 00:12:45,600 --> 00:12:47,880 Speaker 1: I mean, let's just talk about this. The Paxton thing. 215 00:12:48,040 --> 00:12:50,520 Speaker 1: I like that Donald Trump today was like, I don't 216 00:12:50,559 --> 00:12:51,880 Speaker 1: care about the midterms. 217 00:12:52,320 --> 00:12:55,479 Speaker 4: It seems he's acting like he doesn't care about the midterms, 218 00:12:55,760 --> 00:12:59,199 Speaker 4: except that he once said one thing that stands out 219 00:12:59,240 --> 00:13:00,959 Speaker 4: to me, right, the one thing he made in a 220 00:13:01,000 --> 00:13:03,040 Speaker 4: speech where he said, you got you gotta win. You 221 00:13:03,080 --> 00:13:06,119 Speaker 4: got to win because if they win, I'll get impeached. 222 00:13:06,480 --> 00:13:08,920 Speaker 4: Yeah that's the thing he said. Now keep in mind 223 00:13:09,760 --> 00:13:12,360 Speaker 4: because people have been through impeachments a lot with Donald 224 00:13:12,400 --> 00:13:15,320 Speaker 4: Trump and everything, but it doesn't matter because the House. 225 00:13:15,559 --> 00:13:18,200 Speaker 4: If the House impeaches him, the Senate won't convict him, 226 00:13:18,400 --> 00:13:22,280 Speaker 4: which is true unless the Senate, unless Democrats take control 227 00:13:22,320 --> 00:13:26,240 Speaker 4: of the Senate, which is which last night became two 228 00:13:26,280 --> 00:13:29,080 Speaker 4: degrees less of a fever dream. Right, it's generally speaking 229 00:13:29,080 --> 00:13:31,640 Speaker 4: a fever dream, but last night it became less than 230 00:13:31,640 --> 00:13:35,360 Speaker 4: a fever dream. And so I think that's intriguing that 231 00:13:35,920 --> 00:13:38,200 Speaker 4: he has a very personal reason. I mean, it's it's 232 00:13:38,520 --> 00:13:40,760 Speaker 4: it's very much like Benjamin Nettaniello. 233 00:13:40,880 --> 00:13:41,559 Speaker 3: Right, he's got a. 234 00:13:41,640 --> 00:13:43,320 Speaker 4: Very personal You're gonna hate him, but you can like 235 00:13:43,360 --> 00:13:45,640 Speaker 4: him whatever. But he's the very important reason to want 236 00:13:45,679 --> 00:13:48,280 Speaker 4: to keep being Prime Minister of Israel because and that 237 00:13:48,400 --> 00:13:51,040 Speaker 4: is because he will face prosecution and perhaps go to 238 00:13:51,120 --> 00:13:54,680 Speaker 4: jail if he's not. Donald Trump could face prosecution despite 239 00:13:54,679 --> 00:13:57,640 Speaker 4: what the Supreme Court says, he can actually be in 240 00:13:57,720 --> 00:14:01,000 Speaker 4: paid impeached by the House, and now that things can happen. 241 00:14:01,000 --> 00:14:03,079 Speaker 4: So I don't know why he's not interested, but he's 242 00:14:03,080 --> 00:14:06,200 Speaker 4: certainly behaving recently like he wants to prove that he 243 00:14:06,200 --> 00:14:08,880 Speaker 4: can get people nominated, he can get to have people 244 00:14:08,920 --> 00:14:12,560 Speaker 4: win fribraries, which he apparently can still do. It's not 245 00:14:12,760 --> 00:14:15,520 Speaker 4: clear whether that's going to result in election victories. In 246 00:14:15,600 --> 00:14:18,160 Speaker 4: Texas was a very good illustration of that. 247 00:14:18,360 --> 00:14:20,720 Speaker 1: It's so funny because my theory of the case is 248 00:14:21,280 --> 00:14:25,200 Speaker 1: quickly becoming that Donald Trump cannot think through second order 249 00:14:25,200 --> 00:14:25,760 Speaker 1: of facts. 250 00:14:25,960 --> 00:14:28,040 Speaker 4: Right, He's got one thing in front of him. And 251 00:14:28,120 --> 00:14:30,080 Speaker 4: I think in his defense, it might be a little 252 00:14:30,120 --> 00:14:33,640 Speaker 4: bit like being at the cheesecake factory right where it's 253 00:14:33,640 --> 00:14:35,720 Speaker 4: just too much. It's too much information. I can't think 254 00:14:35,720 --> 00:14:37,600 Speaker 4: of all of the things. So what's the thing I 255 00:14:37,600 --> 00:14:39,760 Speaker 4: can think about. The thing I can think about is 256 00:14:39,800 --> 00:14:41,800 Speaker 4: that Paxton might win. Now, I will say, if you 257 00:14:41,800 --> 00:14:47,440 Speaker 4: look at Paxton winning in Texas last night, in some cases, 258 00:14:47,560 --> 00:14:50,160 Speaker 4: in some case, remember Donald Trump had an opportunity. The 259 00:14:50,200 --> 00:14:53,680 Speaker 4: first primaries in Texas were March third, right, he had 260 00:14:53,720 --> 00:14:58,080 Speaker 4: an appetition March third to have said I support you know, 261 00:14:58,120 --> 00:15:00,760 Speaker 4: I support John Cornet, and he didn't, and he didn't. 262 00:15:00,800 --> 00:15:01,560 Speaker 3: And then I. 263 00:15:01,880 --> 00:15:04,760 Speaker 4: Can't tell whether Donald Trump's leading or he's following in 264 00:15:04,800 --> 00:15:09,920 Speaker 4: these kits because if you on March third, Paxton Cornyan, 265 00:15:09,960 --> 00:15:12,720 Speaker 4: who's a senator, got about a forty two percent of 266 00:15:12,720 --> 00:15:14,520 Speaker 4: the vote or something is actually you have to get fifty, 267 00:15:15,800 --> 00:15:18,440 Speaker 4: and Paxton got about forty and then this other really 268 00:15:18,560 --> 00:15:22,880 Speaker 4: maga guy who was running the congressman got about thirteen 269 00:15:23,000 --> 00:15:25,000 Speaker 4: or so. So about the amount fifty three percent people 270 00:15:25,080 --> 00:15:29,080 Speaker 4: didn't vote for Cornyan last night. It was almost two 271 00:15:29,120 --> 00:15:30,960 Speaker 4: thirds of the voters. I mean, it was it was 272 00:15:31,000 --> 00:15:34,560 Speaker 4: a wipeout the Maga guy. And for whatever you think 273 00:15:34,560 --> 00:15:37,040 Speaker 4: of Maga people, whatever you think of you put it 274 00:15:37,080 --> 00:15:40,720 Speaker 4: all in one basket, all the crookedness, all the crazy stuff, 275 00:15:40,760 --> 00:15:40,960 Speaker 4: and you. 276 00:15:41,040 --> 00:15:42,080 Speaker 3: Got it all in pacts. 277 00:15:42,600 --> 00:15:42,840 Speaker 1: Yeah. 278 00:15:43,120 --> 00:15:46,280 Speaker 4: Oh yeah, so it was wild to watch that happen. Now, 279 00:15:46,280 --> 00:15:49,280 Speaker 4: part of this is just primaries. Molly and the primaries 280 00:15:49,280 --> 00:15:52,160 Speaker 4: and then run off. The primaries do attract right, small 281 00:15:52,880 --> 00:15:55,680 Speaker 4: the small numbers and pretty pretty extremely stilled. 282 00:15:55,920 --> 00:15:58,600 Speaker 3: Yeah yeah, may not look that way in Texas in 283 00:15:58,640 --> 00:15:59,080 Speaker 3: the election. 284 00:16:00,080 --> 00:16:02,240 Speaker 1: Well that's a real question. And it's funny because now 285 00:16:02,280 --> 00:16:08,320 Speaker 1: you're also Steve Kornaki, So your job is not besides 286 00:16:08,440 --> 00:16:12,240 Speaker 1: having a weekend show, which is about to be every 287 00:16:13,000 --> 00:16:17,080 Speaker 1: night at eleven night. Yeah, you also are the Steve 288 00:16:17,120 --> 00:16:20,800 Speaker 1: Kornaki of MS now, which means you are looking at 289 00:16:20,840 --> 00:16:25,240 Speaker 1: these numbers as they come in all the time, and 290 00:16:25,280 --> 00:16:28,440 Speaker 1: I'm curious. It strikes me. I mean, from what I 291 00:16:28,440 --> 00:16:33,000 Speaker 1: saw with the reporting, this was a pretty low turnout runoffs, right, Yes. 292 00:16:32,920 --> 00:16:37,280 Speaker 4: Yes, it was low turnout, which was interesting because one wondered, 293 00:16:37,440 --> 00:16:41,200 Speaker 4: with Paxton in the race, does he motivate people more 294 00:16:41,360 --> 00:16:44,400 Speaker 4: because it is so right wing and he's so extremely 295 00:16:44,840 --> 00:16:48,360 Speaker 4: so maga. And know what you saw last night was 296 00:16:48,400 --> 00:16:51,680 Speaker 4: that a lot of Republicans saw the writing on the wall. 297 00:16:51,800 --> 00:16:54,320 Speaker 4: They saw John Cornyan probably wasn't going to win, and 298 00:16:54,360 --> 00:16:56,560 Speaker 4: they thought their vote wasn't really going to make a difference, 299 00:16:56,840 --> 00:17:00,720 Speaker 4: so they didn't vote. Yeah, extrapolate that then to November. 300 00:17:01,160 --> 00:17:03,000 Speaker 4: It's not that a whole bunch of Republicans are going 301 00:17:03,080 --> 00:17:05,600 Speaker 4: to vote for James Tallerricle. He might get me, he's 302 00:17:05,440 --> 00:17:08,199 Speaker 4: a really interesting character. You might get some he might 303 00:17:08,240 --> 00:17:11,440 Speaker 4: get some moderates, but the win in Texas might come 304 00:17:11,480 --> 00:17:15,400 Speaker 4: from people just not voting a Republicans just not voting. 305 00:17:15,440 --> 00:17:18,320 Speaker 4: If you remember in twenty eighteen when bene O'Rourke ran 306 00:17:18,359 --> 00:17:22,200 Speaker 4: against Ted Cruz, ded Cruz wildly unpopular and had done 307 00:17:22,240 --> 00:17:24,560 Speaker 4: all sorts of things that you know would make him 308 00:17:24,600 --> 00:17:27,520 Speaker 4: votable as a candidate, bene O'Rourke was a really good 309 00:17:27,560 --> 00:17:30,640 Speaker 4: candidate and he ran a flawless campaign, came within three 310 00:17:30,680 --> 00:17:31,840 Speaker 4: percent of winning, but he didn't win. 311 00:17:31,880 --> 00:17:32,679 Speaker 3: It was always that. 312 00:17:32,520 --> 00:17:35,080 Speaker 4: That's a Democratic fever dream that we're going to win 313 00:17:35,160 --> 00:17:40,439 Speaker 4: deck This last night might have been a precursor to 314 00:17:40,600 --> 00:17:43,159 Speaker 4: what happens in November, not just in Texas, but in 315 00:17:43,200 --> 00:17:46,880 Speaker 4: other places where Republicans, some Republicans say to myself, they themselves, 316 00:17:47,720 --> 00:17:48,520 Speaker 4: this is not for me. 317 00:17:48,560 --> 00:17:49,520 Speaker 3: I'm just going to stick with U. 318 00:17:50,200 --> 00:17:52,840 Speaker 1: Yeah, and I mean that. I think that's a real question. 319 00:17:53,040 --> 00:17:55,840 Speaker 1: And when we look at these numbers, I think that's 320 00:17:56,200 --> 00:17:58,680 Speaker 1: the big question. But also what you were talking about before, 321 00:17:58,720 --> 00:18:02,679 Speaker 1: where Donald Trump endorses Paxton, And this was something I 322 00:18:02,800 --> 00:18:05,520 Speaker 1: was thinking about when he made the endorsement. I wondered 323 00:18:05,600 --> 00:18:08,840 Speaker 1: if he was so interested in winning that he didn't 324 00:18:08,880 --> 00:18:12,240 Speaker 1: really care, Like he saw the writing on the wall 325 00:18:12,960 --> 00:18:13,399 Speaker 1: right and he. 326 00:18:13,440 --> 00:18:14,600 Speaker 3: Wanted to be on and he wanted to be on 327 00:18:14,600 --> 00:18:17,120 Speaker 3: the right side. I wonder about that too. I think 328 00:18:17,160 --> 00:18:18,560 Speaker 3: that's a really good question. 329 00:18:18,640 --> 00:18:22,480 Speaker 4: In other words, did Trump make Paxton win or did 330 00:18:22,560 --> 00:18:25,800 Speaker 4: Paxton make Trump endorse him because Paxton looked like he 331 00:18:25,920 --> 00:18:26,600 Speaker 4: was going to win? 332 00:18:26,960 --> 00:18:29,679 Speaker 3: Because what a weird system we've gotten into an America. 333 00:18:29,720 --> 00:18:32,080 Speaker 4: And I don't know that the same as on the 334 00:18:32,080 --> 00:18:36,080 Speaker 4: Democratic side, but boy, some of these Republican primaries have 335 00:18:36,200 --> 00:18:40,639 Speaker 4: become contests of who can out crazy who. In the 336 00:18:40,720 --> 00:18:44,840 Speaker 4: last election, last two elections, Michigan, Arizona, those are really 337 00:18:44,840 --> 00:18:47,760 Speaker 4: good example. There's still some places that deal with where 338 00:18:47,800 --> 00:18:51,400 Speaker 4: Republicans deal with things in a much more normal matter. 339 00:18:51,600 --> 00:18:52,720 Speaker 3: In Georgia for instance. 340 00:18:52,760 --> 00:18:56,719 Speaker 4: There, Yeah, mainstream Republicans still tend to choose mainstream Republicans. 341 00:18:56,760 --> 00:19:00,919 Speaker 4: Pennsylvania is a place that told there to keep it 342 00:19:00,960 --> 00:19:04,000 Speaker 4: in a trunk in the basement. But you know, Arizona 343 00:19:04,040 --> 00:19:07,040 Speaker 4: and Michigan, it was like a who can outdo can? I? 344 00:19:07,080 --> 00:19:09,639 Speaker 3: Can I out Maga, you can I out extreme you? 345 00:19:10,160 --> 00:19:12,040 Speaker 4: So I think that's I think that's what we saw 346 00:19:12,080 --> 00:19:15,600 Speaker 4: in Texas, and I'm beginning to see if there's a 347 00:19:15,640 --> 00:19:17,480 Speaker 4: lot I'm beginning to think there's a lot of space 348 00:19:17,520 --> 00:19:19,240 Speaker 4: between the people who will turn out the way they 349 00:19:19,280 --> 00:19:23,479 Speaker 4: did in Texas last night for a real extremist candidate. Yeah, 350 00:19:23,520 --> 00:19:26,720 Speaker 4: and Republicans in genital And if that, if you follow 351 00:19:26,760 --> 00:19:29,040 Speaker 4: that logic, crew, you begin to wonder if the thing 352 00:19:29,080 --> 00:19:31,439 Speaker 4: that we think of as Republicans or the Republican Party 353 00:19:31,920 --> 00:19:34,360 Speaker 4: might be this dormant thing that's sitting around that might 354 00:19:34,400 --> 00:19:35,440 Speaker 4: come back one day. 355 00:19:35,720 --> 00:19:37,240 Speaker 3: And I hope it does. 356 00:19:38,240 --> 00:19:40,760 Speaker 4: I don't share a lot of views with with a 357 00:19:40,800 --> 00:19:43,960 Speaker 4: lot of Republicans, right, but it is very unhealthy to 358 00:19:44,000 --> 00:19:44,600 Speaker 4: have one. 359 00:19:44,720 --> 00:19:46,760 Speaker 3: Functioning political party in a country. 360 00:19:47,359 --> 00:19:49,080 Speaker 4: And I think there are debates to be ad and 361 00:19:49,080 --> 00:19:52,120 Speaker 4: we should be able to have real discussions and debates 362 00:19:52,160 --> 00:19:56,639 Speaker 4: about AI, about healthcare, about things like that. And you 363 00:19:56,680 --> 00:19:58,720 Speaker 4: can't do that today because you've got a Democratic Party 364 00:19:58,720 --> 00:20:00,880 Speaker 4: which has its own struggles, and I think it's intrigued 365 00:20:01,560 --> 00:20:04,040 Speaker 4: what they're struggling with. And then I'm sort of glad 366 00:20:04,040 --> 00:20:07,959 Speaker 4: that they are Republican Party. It doesn't seem like as 367 00:20:08,000 --> 00:20:09,800 Speaker 4: much of a struggle for them, and I wish it were. 368 00:20:10,400 --> 00:20:12,879 Speaker 1: Yeah. This is also coming on the backdrop of a 369 00:20:12,960 --> 00:20:17,560 Speaker 1: Donald Trump who seems he's eighty and he, as Jeff 370 00:20:17,560 --> 00:20:20,000 Speaker 1: Bezos said, he's mature. I don't. 371 00:20:20,359 --> 00:20:21,160 Speaker 3: I doubt my god. 372 00:20:21,600 --> 00:20:23,600 Speaker 4: What let's just talk about what were you being asked 373 00:20:23,600 --> 00:20:26,840 Speaker 4: that you answered that, like, but sure, I mean, but 374 00:20:27,119 --> 00:20:29,320 Speaker 4: some said that he thinks he's mature since his first 375 00:20:29,359 --> 00:20:29,960 Speaker 4: perman It's like, what. 376 00:20:29,880 --> 00:20:30,560 Speaker 3: Are you talking about? 377 00:20:31,000 --> 00:20:34,480 Speaker 1: Well, you have an incentive structure for very rich, powerful 378 00:20:34,520 --> 00:20:39,280 Speaker 1: people have to suck up to Trump for regulatory as Yeah, exactly, 379 00:20:39,320 --> 00:20:42,040 Speaker 1: and so they look like absolute fools doing it. 380 00:20:42,280 --> 00:20:43,560 Speaker 3: I don't want you to give that interview. 381 00:20:43,560 --> 00:20:45,840 Speaker 4: I mean, uh, Edward Russ Ork and it's the NBC 382 00:20:46,480 --> 00:20:49,399 Speaker 4: is a smart guy and a good interviewer. Like I 383 00:20:49,400 --> 00:20:51,280 Speaker 4: don't I don't understand why people have to have these 384 00:20:51,359 --> 00:20:54,600 Speaker 4: these conversations and say things like that. I will say, 385 00:20:54,720 --> 00:20:56,400 Speaker 4: you look back on the internet. You look at Donald 386 00:20:56,400 --> 00:20:59,040 Speaker 4: Trump's you know when he used to go on you know, 387 00:20:59,119 --> 00:21:02,679 Speaker 4: various radio shows and TV shows. He could string sentence 388 00:21:02,720 --> 00:21:04,760 Speaker 4: this together. Oh, he has a guy who could be 389 00:21:04,800 --> 00:21:06,560 Speaker 4: on a on a podcast or it. 390 00:21:06,480 --> 00:21:09,000 Speaker 3: Wasn't podcast back then, but a radio show for half 391 00:21:09,040 --> 00:21:10,639 Speaker 3: an hour or an hour and. 392 00:21:12,480 --> 00:21:17,240 Speaker 4: Be a conversationalist. He can extemporate, he can extemporize. He 393 00:21:17,240 --> 00:21:19,800 Speaker 4: can do these things. Something's wrong with Donald Trump. He 394 00:21:19,960 --> 00:21:21,840 Speaker 4: tried to weave it into the weave, right, he tried 395 00:21:21,880 --> 00:21:24,679 Speaker 4: to tell people it's by designs. It doesn't appear to 396 00:21:24,680 --> 00:21:25,720 Speaker 4: be by design anymore. 397 00:21:25,840 --> 00:21:29,240 Speaker 1: I mean there's also the real question of like the hands. 398 00:21:29,480 --> 00:21:34,240 Speaker 1: He had his third annual hospital visit at Walter Reid. 399 00:21:34,680 --> 00:21:36,000 Speaker 1: You know, he's eight years old. 400 00:21:36,080 --> 00:21:38,080 Speaker 4: I mean he is actually in all word, his own 401 00:21:38,160 --> 00:21:40,920 Speaker 4: doctors tell you he's the healthiest guy in the world. Right, 402 00:21:40,960 --> 00:21:43,920 Speaker 4: he posts his weight and his height and his BMI. 403 00:21:44,680 --> 00:21:47,400 Speaker 4: The Internet is full of examples of people are exactly 404 00:21:47,440 --> 00:21:50,240 Speaker 4: that way and that right, and that BMI, and guess 405 00:21:50,280 --> 00:21:53,800 Speaker 4: what one hundred percent of the other people are actlete 406 00:21:54,840 --> 00:21:57,920 Speaker 4: Like literally, it'll be after Donald Trump and some buff 407 00:21:58,400 --> 00:22:01,280 Speaker 4: football player or or whatever the case is. 408 00:22:01,480 --> 00:22:02,639 Speaker 3: It just can't be true. 409 00:22:02,800 --> 00:22:04,960 Speaker 4: But remembers doctors said he's gonna live till he's two 410 00:22:05,000 --> 00:22:07,160 Speaker 4: hundred and maybe the healthiest person in the world. Yeah, 411 00:22:07,160 --> 00:22:09,760 Speaker 4: at some point it's like everything's a lie. So I 412 00:22:09,760 --> 00:22:12,160 Speaker 4: don't know what a lie is or not. Maybe he's 413 00:22:12,200 --> 00:22:15,840 Speaker 4: aging the way an eighty year old man should be aging. 414 00:22:15,960 --> 00:22:19,760 Speaker 4: Maybe he's aging slows, but one one can't tell. But 415 00:22:19,840 --> 00:22:21,680 Speaker 4: he's certainly not the healthiest guy in the world. And 416 00:22:22,000 --> 00:22:25,760 Speaker 4: the height, weight, body mass index thing doesn't match. Like 417 00:22:25,840 --> 00:22:28,040 Speaker 4: that's just you can use Google for Google or your 418 00:22:28,080 --> 00:22:28,719 Speaker 4: AI for that. 419 00:22:29,320 --> 00:22:31,600 Speaker 1: But when you look at the lies, and I think 420 00:22:31,600 --> 00:22:34,280 Speaker 1: this is a really important point, there's such a commitment 421 00:22:34,320 --> 00:22:37,359 Speaker 1: to lying, you know, and to untruth and you. 422 00:22:37,440 --> 00:22:40,000 Speaker 3: Were right, right, and you want it's. 423 00:22:39,720 --> 00:22:41,840 Speaker 4: Necessary, like the lies show up in places that they 424 00:22:41,840 --> 00:22:42,600 Speaker 4: don't have to be live. 425 00:22:43,200 --> 00:22:43,520 Speaker 3: Yeah. 426 00:22:43,640 --> 00:22:46,640 Speaker 1: And then and there's like a North Korea style propaganda 427 00:22:46,720 --> 00:22:50,679 Speaker 1: thing for the cabinet meetings, and the Times did a 428 00:22:50,760 --> 00:22:55,560 Speaker 1: really good analysis of like which cabinet members, how they 429 00:22:55,600 --> 00:22:58,040 Speaker 1: did it, And it was interesting to me to see 430 00:22:58,080 --> 00:23:02,120 Speaker 1: Marco did the most sort of complementing and the least criticizing, 431 00:23:02,600 --> 00:23:05,880 Speaker 1: and Jade Vance did the most criticizing and the least complimenting. 432 00:23:06,200 --> 00:23:09,040 Speaker 1: And I wondered, you know, there's this narrative, a media 433 00:23:09,119 --> 00:23:13,879 Speaker 1: narrative about like it's Marco versus Jadie Vance, And I 434 00:23:13,960 --> 00:23:17,480 Speaker 1: personally think Jade Vance is is has the sort of 435 00:23:17,520 --> 00:23:20,600 Speaker 1: gift of being a Peter Teel picked politician, and Peter 436 00:23:20,720 --> 00:23:25,119 Speaker 1: Teal picks the worst politicians, like just thank God, like 437 00:23:25,240 --> 00:23:28,480 Speaker 1: from Blake Masters, I mean, just everyone that guy likes 438 00:23:28,640 --> 00:23:29,320 Speaker 1: is a disaster. 439 00:23:30,000 --> 00:23:32,800 Speaker 3: But so has been a guy who's been giving people 440 00:23:32,880 --> 00:23:34,000 Speaker 3: bad advice for a long time. 441 00:23:34,040 --> 00:23:37,080 Speaker 4: Like I'm not sure why he's relevant to any conversation. 442 00:23:37,119 --> 00:23:39,119 Speaker 3: I remember when he killed people that ten or twelve, 443 00:23:39,160 --> 00:23:39,840 Speaker 3: fifteen years. 444 00:23:39,680 --> 00:23:41,560 Speaker 4: Ago, a long time ago, and he said dropped out 445 00:23:41,600 --> 00:23:44,080 Speaker 4: of college, like just you know, he was paying people 446 00:23:44,119 --> 00:23:46,240 Speaker 4: to drop out of college, Like it's really not most 447 00:23:46,240 --> 00:23:48,800 Speaker 4: societies in the world don't actually think that's the direction 448 00:23:48,920 --> 00:23:50,400 Speaker 4: you should be informing people about. 449 00:23:50,920 --> 00:23:53,320 Speaker 1: And even now, like every time you see a clip 450 00:23:53,359 --> 00:23:55,880 Speaker 1: of him, he's talking about the Antichrist and fighting with the. 451 00:23:55,960 --> 00:23:59,600 Speaker 4: Oh yes, yes, yes, very weird stuff. Yeah, you're right. 452 00:24:01,000 --> 00:24:04,000 Speaker 4: Jady Vance has something that looks like it could be 453 00:24:04,000 --> 00:24:06,040 Speaker 4: a movement behind him. I don't know if it's really Maga, 454 00:24:06,280 --> 00:24:08,760 Speaker 4: but he looks like something Marco Rubio doesn't have that. 455 00:24:08,920 --> 00:24:12,480 Speaker 4: Marco Robio is hoping like Nikki Haley was hoping, like 456 00:24:12,720 --> 00:24:17,560 Speaker 4: so many former Normis were hoping that the Republican Party 457 00:24:17,600 --> 00:24:20,240 Speaker 4: will come back to them. So mostly what Marco Rubio 458 00:24:20,280 --> 00:24:24,520 Speaker 4: has spent his time doing is avoiding the limelight, not 459 00:24:24,720 --> 00:24:27,320 Speaker 4: being at the negotiations that you think the Secretary of 460 00:24:27,359 --> 00:24:30,560 Speaker 4: State should be at, feeling uncomfortable in meetings when Trump 461 00:24:30,600 --> 00:24:35,000 Speaker 4: is yelling at Vlati Barzilenski wearing ill fitting shoes. 462 00:24:35,320 --> 00:24:36,159 Speaker 3: He wore that. 463 00:24:36,160 --> 00:24:40,119 Speaker 4: Nike outfit when they arrested when they took Maduro route, 464 00:24:40,640 --> 00:24:43,280 Speaker 4: like you know, getting involved in these prolls. The problem 465 00:24:43,320 --> 00:24:45,640 Speaker 4: is this isn't Marko Rubio. He won't lean into it 466 00:24:46,040 --> 00:24:49,480 Speaker 4: right now. He's trying, and it's like it's not you 467 00:24:49,560 --> 00:24:51,600 Speaker 4: may have missed the boat or the boat's not coming 468 00:24:51,640 --> 00:24:55,080 Speaker 4: back to you. Mark Jendy Vans is closer to where 469 00:24:55,280 --> 00:24:59,840 Speaker 4: whatever this movement is. But for a smart guy, like 470 00:25:00,160 --> 00:25:03,639 Speaker 4: ill educated lawyer. The whole thing seems a little weird 471 00:25:03,680 --> 00:25:05,879 Speaker 4: to me. I mean, part of the criticism comes to 472 00:25:05,920 --> 00:25:08,679 Speaker 4: the fact that I think Jada Vans more than Mark Rubio, 473 00:25:08,880 --> 00:25:12,080 Speaker 4: has an actual strong belief about US involvement in the 474 00:25:12,080 --> 00:25:15,399 Speaker 4: world and wars. Yes, he actually doesn't like this, this 475 00:25:15,520 --> 00:25:18,240 Speaker 4: Iran war, nor did Telsea Gabbart. That didn't seem to 476 00:25:18,240 --> 00:25:20,720 Speaker 4: get her anywhere. But I think I think this really 477 00:25:20,760 --> 00:25:25,280 Speaker 4: actually does make Mike, does make jd Vance uncomfortable, and 478 00:25:25,600 --> 00:25:27,920 Speaker 4: I think he's got an actual problem. So he's got 479 00:25:27,920 --> 00:25:30,400 Speaker 4: a situation where he doesn't want to cross with Trump, 480 00:25:30,600 --> 00:25:32,760 Speaker 4: but he actually isn't with Trump on this. 481 00:25:33,200 --> 00:25:34,400 Speaker 3: Marco Rubio, I think, just. 482 00:25:34,359 --> 00:25:36,320 Speaker 4: So badly wants to be the president of the United 483 00:25:36,359 --> 00:25:38,640 Speaker 4: States that he'll do anything he can to get there. 484 00:25:38,880 --> 00:25:41,639 Speaker 1: Yeah. Now Marco feels like one of those people who's 485 00:25:41,760 --> 00:25:44,320 Speaker 1: just I mean, there are these people who have been 486 00:25:44,359 --> 00:25:48,679 Speaker 1: running for president forever. They're on the Democratic side too, 487 00:25:48,240 --> 00:25:51,000 Speaker 1: and just undermines them to some. 488 00:25:51,119 --> 00:25:54,359 Speaker 3: Event, right, and sometimes you peak too early. 489 00:25:54,400 --> 00:25:57,720 Speaker 4: And now Marco Rubio, like, to me, the end was 490 00:25:57,720 --> 00:26:00,399 Speaker 4: when Marco Ruby wore the ill fitting shoes that Donald 491 00:26:00,440 --> 00:26:03,480 Speaker 4: Trump gave him, right he gives everybody these Floorshym shoes, 492 00:26:03,760 --> 00:26:08,040 Speaker 4: and I guess the size right, and so so let's 493 00:26:08,040 --> 00:26:11,399 Speaker 4: say this happened to you, right, the President gives you 494 00:26:11,440 --> 00:26:14,440 Speaker 4: a pair of ill fitting shoes. You go to Floorsheim 495 00:26:14,640 --> 00:26:17,560 Speaker 4: and you say, the President gave me these shoes and 496 00:26:17,600 --> 00:26:19,119 Speaker 4: I really like them, and then the wrong size, and 497 00:26:19,160 --> 00:26:21,840 Speaker 4: guess what, they'll hundred give you a new one, even 498 00:26:21,880 --> 00:26:22,560 Speaker 4: if you didn't tell them. 499 00:26:22,560 --> 00:26:23,359 Speaker 3: Actually you didn't even have. 500 00:26:23,359 --> 00:26:24,560 Speaker 4: To tell them the President give them to You can 501 00:26:24,640 --> 00:26:26,560 Speaker 4: just say I got this pair of shoes that the 502 00:26:26,640 --> 00:26:28,440 Speaker 4: wrong side. The Floorsham will give you a new pair 503 00:26:28,440 --> 00:26:30,040 Speaker 4: of shoes, right. But if they know that the President 504 00:26:30,080 --> 00:26:31,800 Speaker 4: give them to you, they'll probably give you several pairs. 505 00:26:32,080 --> 00:26:34,040 Speaker 4: They know you the Secretary of State, you had several pairs. 506 00:26:34,040 --> 00:26:35,560 Speaker 4: You'll get Florshem shoes for life. 507 00:26:35,600 --> 00:26:38,359 Speaker 3: Prap. Why would you do this? Why would you do 508 00:26:38,440 --> 00:26:40,320 Speaker 3: any of this nonsense? Why would you put the Nike 509 00:26:40,600 --> 00:26:42,800 Speaker 3: output on? Why would you wear the ill fitting shoes? Like? 510 00:26:42,880 --> 00:26:43,120 Speaker 1: Yeah? 511 00:26:43,920 --> 00:26:44,040 Speaker 3: Did? 512 00:26:44,280 --> 00:26:47,200 Speaker 4: When did things cross the line when it became so 513 00:26:47,280 --> 00:26:51,040 Speaker 4: important to do this that you will supplicate yourself and 514 00:26:51,080 --> 00:26:53,560 Speaker 4: give everything up that you want. I will say Marco 515 00:26:53,640 --> 00:26:56,560 Speaker 4: Rubio is making one bet, and his one bet is 516 00:26:56,560 --> 00:26:59,960 Speaker 4: that Donald Trump can do something with Cuba, because Mark 517 00:27:00,240 --> 00:27:04,080 Speaker 4: Rubio is very, very very invested in that one particular topic, 518 00:27:04,560 --> 00:27:07,240 Speaker 4: and Donald Trump is starting to look very invested in 519 00:27:07,320 --> 00:27:09,200 Speaker 4: because for every day that we don't have a deal 520 00:27:09,200 --> 00:27:13,480 Speaker 4: with Iran, going in and parachuting in and capturing the 521 00:27:13,560 --> 00:27:17,320 Speaker 4: ninety six year old Raoul Castro sounds very promising because 522 00:27:17,320 --> 00:27:19,520 Speaker 4: it'll look like, Wow, look how good and smart and 523 00:27:19,560 --> 00:27:20,640 Speaker 4: strong and powerful we are. 524 00:27:21,160 --> 00:27:23,440 Speaker 1: But here's the thing, No, I agree, And I mean 525 00:27:23,480 --> 00:27:27,040 Speaker 1: I think Cuba is a distraction from Iran, which is 526 00:27:27,080 --> 00:27:30,560 Speaker 1: a distraction from the Ebstein files, which is a distraction 527 00:27:30,840 --> 00:27:34,720 Speaker 1: from you know, I mean, we still and I'm curious. 528 00:27:34,880 --> 00:27:37,240 Speaker 1: This is a threat I want to just talk about 529 00:27:37,280 --> 00:27:39,760 Speaker 1: for a minute. There are all of these people who 530 00:27:39,800 --> 00:27:43,520 Speaker 1: are now in office who have lost their primaries or 531 00:27:43,520 --> 00:27:47,040 Speaker 1: their re elections, the Coronins and the Cassidys and the 532 00:27:47,520 --> 00:27:48,720 Speaker 1: you know yes. 533 00:27:48,800 --> 00:27:50,800 Speaker 3: Or margin till Green or whatever you know. 534 00:27:52,680 --> 00:27:56,040 Speaker 1: But yeah, but like or Massy where they Trump has 535 00:27:56,119 --> 00:28:00,000 Speaker 1: gone after them. They are still in office until January. 536 00:28:00,160 --> 00:28:04,440 Speaker 1: Are those people have a real chance to do something? 537 00:28:04,520 --> 00:28:07,440 Speaker 4: Actually said it right, he said we did this this 538 00:28:07,440 --> 00:28:08,800 Speaker 4: this he was talking about all the things they did 539 00:28:08,840 --> 00:28:10,240 Speaker 4: with the Epstein files, and he said that was the 540 00:28:10,320 --> 00:28:14,680 Speaker 4: last six months. I've got seven months in office. Still 541 00:28:14,760 --> 00:28:17,560 Speaker 4: like he sounded like a bit of a threat, So 542 00:28:17,600 --> 00:28:19,480 Speaker 4: I thought that was kind of interesting. 543 00:28:20,280 --> 00:28:22,479 Speaker 3: I don't know what they'll all do because Tillis, for instance, 544 00:28:22,480 --> 00:28:24,120 Speaker 3: in North Carolina, he does this all the time. 545 00:28:24,200 --> 00:28:26,200 Speaker 4: Right, He said, if I know what I knew about 546 00:28:26,840 --> 00:28:29,640 Speaker 4: RFKA Junior or Pete Eggstiff, I would have voted differently. 547 00:28:30,880 --> 00:28:32,879 Speaker 3: Bullshitory can we say bullshit? 548 00:28:33,040 --> 00:28:33,240 Speaker 1: Yeah? 549 00:28:34,200 --> 00:28:35,760 Speaker 4: I don't even know what I don't even know what 550 00:28:35,760 --> 00:28:38,280 Speaker 4: other word there is for use for this. Everybody knew 551 00:28:38,360 --> 00:28:42,520 Speaker 4: everything they needed to know about RFK Junior. Everyone knew 552 00:28:42,560 --> 00:28:45,440 Speaker 4: everything they needed to know about Pete hegstap, Like, there's 553 00:28:45,440 --> 00:28:47,560 Speaker 4: no there was no shortage of information. There's not these 554 00:28:47,600 --> 00:28:51,760 Speaker 4: new things right to some degree, maybe cash Bettel, it's 555 00:28:52,520 --> 00:28:56,240 Speaker 4: new examples of stuff we already kind of knew. But 556 00:28:56,360 --> 00:29:00,360 Speaker 4: that's is how courageous that Massey had, real courage. Yeah, 557 00:29:00,440 --> 00:29:04,160 Speaker 4: actually stood up for what he believed in. It doesn't 558 00:29:04,160 --> 00:29:07,240 Speaker 4: sort of matter, but it's Kentucky as well. But you know, 559 00:29:07,320 --> 00:29:11,280 Speaker 4: Rand Paul, he believes in certain things. Right, I don't know, 560 00:29:11,440 --> 00:29:12,640 Speaker 4: I don't know what, you know, the rest of these 561 00:29:12,640 --> 00:29:14,400 Speaker 4: people when you lose and you didn't really believe it 562 00:29:14,440 --> 00:29:16,160 Speaker 4: to start with, but you're kind of in his corner, 563 00:29:16,200 --> 00:29:18,760 Speaker 4: but you kind of didn't want their ways with him. 564 00:29:19,480 --> 00:29:20,920 Speaker 3: What do you do? How do you build? How do 565 00:29:20,960 --> 00:29:22,040 Speaker 3: you rebuild a party with that? 566 00:29:22,480 --> 00:29:24,920 Speaker 1: I mean, I don't know how you rebuild this party. 567 00:29:24,920 --> 00:29:28,200 Speaker 1: But that's not I mean, there's certainly I feel like 568 00:29:28,320 --> 00:29:31,360 Speaker 1: it's sort of not our problem at this moment, just 569 00:29:31,440 --> 00:29:33,920 Speaker 1: sort of getting them out of it feels like the 570 00:29:34,040 --> 00:29:36,600 Speaker 1: number one issue and is going to be for Democrats 571 00:29:36,720 --> 00:29:39,240 Speaker 1: is to get these people out of power and to 572 00:29:39,320 --> 00:29:41,040 Speaker 1: have a peaceful transition. 573 00:29:41,280 --> 00:29:43,640 Speaker 3: And Democratic Republicans can sort out. 574 00:29:43,920 --> 00:29:48,240 Speaker 1: Yeah, how they rebuild there, they can have this sort 575 00:29:48,280 --> 00:29:51,920 Speaker 1: of but I'm and look, if the never Trumpers go back, 576 00:29:52,120 --> 00:29:55,680 Speaker 1: that party will be a very interesting intellectual party with 577 00:29:56,000 --> 00:29:59,040 Speaker 1: a whole host of weird problems, you know. 578 00:29:59,640 --> 00:30:01,800 Speaker 4: But or it could be a real opportunity, right, it 579 00:30:01,840 --> 00:30:06,040 Speaker 4: could be a hey, we can actually rebuild a center right, 580 00:30:06,920 --> 00:30:10,760 Speaker 4: fiscally conservative party that's not nuts. 581 00:30:11,080 --> 00:30:14,840 Speaker 3: And mean, you know, yeah, I think it's a real opportunity. 582 00:30:15,200 --> 00:30:18,080 Speaker 1: Yeah, but you're gonna we're gonna have to survive this 583 00:30:18,200 --> 00:30:22,960 Speaker 1: summer which means surviving the UFC fight on the East 584 00:30:23,040 --> 00:30:26,040 Speaker 1: Lawn with Dana White, who says he's not very political 585 00:30:26,040 --> 00:30:30,600 Speaker 1: but has spoke at three RNC is we have. I mean, so, 586 00:30:31,240 --> 00:30:33,160 Speaker 1: I think what's happening here, and I'm curious if you 587 00:30:33,200 --> 00:30:36,720 Speaker 1: think this is right? Is that Donald Trump when nobody 588 00:30:36,720 --> 00:30:39,280 Speaker 1: thought he would win in twenty twenty four, and he 589 00:30:39,320 --> 00:30:42,240 Speaker 1: won using the culture right, getting into the culture doing 590 00:30:42,320 --> 00:30:46,400 Speaker 1: McDonald's going on Joe Rogan, and I think he thinks 591 00:30:46,440 --> 00:30:48,160 Speaker 1: that will help him in the midterms. 592 00:30:48,400 --> 00:30:52,000 Speaker 4: And I would argue that if you keep betting against 593 00:30:52,040 --> 00:30:55,960 Speaker 4: Donald Trump, you're a bad gambler. Right, I think you 594 00:30:56,040 --> 00:30:59,600 Speaker 4: have to understand that this guy is politically more savvy 595 00:31:00,120 --> 00:31:05,720 Speaker 4: than most people, than almost all Republicans and probably most 596 00:31:05,760 --> 00:31:06,600 Speaker 4: Democrats too. 597 00:31:07,120 --> 00:31:07,320 Speaker 3: Right. 598 00:31:07,400 --> 00:31:11,200 Speaker 4: The thing to remember here, Molly is as unpopular as 599 00:31:11,280 --> 00:31:13,960 Speaker 4: Donald Trump is, and it's wild how unpopular he is. 600 00:31:14,200 --> 00:31:14,600 Speaker 1: Wild. 601 00:31:14,960 --> 00:31:17,240 Speaker 4: But he has of the let's call it, let's let's 602 00:31:17,320 --> 00:31:19,760 Speaker 4: let's be liberal and say thirty seven percent of the 603 00:31:19,800 --> 00:31:22,560 Speaker 4: population supports him, but on the high side, but it's 604 00:31:22,560 --> 00:31:24,920 Speaker 4: pretty consistent. Yeah, he is one hundred percent of that 605 00:31:24,960 --> 00:31:29,000 Speaker 4: thirty seven percent. Like it's it's it's it is cult 606 00:31:29,160 --> 00:31:31,040 Speaker 4: like I think he can set some of these people 607 00:31:31,040 --> 00:31:34,520 Speaker 4: on fire and they'd still they'd still support him. That 608 00:31:34,600 --> 00:31:38,120 Speaker 4: number doesn't correlate to Democrats, right The problem Democrats have 609 00:31:38,360 --> 00:31:43,000 Speaker 4: right now is the number of active political people who 610 00:31:43,040 --> 00:31:46,600 Speaker 4: are annoyed that they would like them to fight more 611 00:31:46,640 --> 00:31:48,840 Speaker 4: and be better. So if you look at Texas, Jexas 612 00:31:48,920 --> 00:31:52,760 Speaker 4: might become democratic, not just because Ken Paxton is Ken Paxton, 613 00:31:53,040 --> 00:31:55,480 Speaker 4: but maybe cause tall Rico's tallerco right, like he's an 614 00:31:55,480 --> 00:31:59,920 Speaker 4: He's a compelling interesting guy. Maybe North Carolina becomes democratic 615 00:32:00,000 --> 00:32:02,400 Speaker 4: because Roy Cooper is an interesting company. 616 00:32:02,520 --> 00:32:03,320 Speaker 3: They love them guy. 617 00:32:03,760 --> 00:32:07,440 Speaker 4: And you've got Maine and you've got Michigan. We'll see 618 00:32:07,440 --> 00:32:09,880 Speaker 4: which way that goes, because Schumer may be on the 619 00:32:09,920 --> 00:32:10,920 Speaker 4: wrong side of that one. 620 00:32:10,960 --> 00:32:13,320 Speaker 3: But the Democrats have to look ready to catch the ball. 621 00:32:13,400 --> 00:32:15,120 Speaker 4: Right, there's a ball in the air, and the Democrats 622 00:32:15,200 --> 00:32:16,400 Speaker 4: have to look ready to catch it. 623 00:32:16,400 --> 00:32:19,320 Speaker 3: And I would argue with you that some places they're ready, 624 00:32:19,560 --> 00:32:20,400 Speaker 3: some places they're not. 625 00:32:20,720 --> 00:32:25,160 Speaker 1: Alie, Ali, Allie, thank you. 626 00:32:24,040 --> 00:32:25,760 Speaker 3: Are we what are you talking about? We're done? 627 00:32:26,080 --> 00:32:29,040 Speaker 1: Twenty minutes, baby, twenty minutes. 628 00:32:29,320 --> 00:32:31,600 Speaker 3: I love it, I love I love these conversations. Thank you. 629 00:32:31,640 --> 00:32:32,560 Speaker 3: My friend. 630 00:32:34,360 --> 00:32:38,840 Speaker 1: Dave Weigel is a reporter. First emaphore, welcome, Welcome, Dave. 631 00:32:39,360 --> 00:32:40,120 Speaker 5: It's good to be here. 632 00:32:40,160 --> 00:32:42,840 Speaker 1: Thank you, I love you. I think you're so smart. 633 00:32:42,920 --> 00:32:45,480 Speaker 1: And you go out and you see the field. So 634 00:32:45,760 --> 00:32:48,360 Speaker 1: there were a lot of primaries. We are hot in 635 00:32:48,440 --> 00:32:53,200 Speaker 1: primary season. Just head Texas. Talk to me. The Senate primary, 636 00:32:53,520 --> 00:32:58,880 Speaker 1: the runoff between Cornyan and Paxton. Anything unsurprising there, give 637 00:32:58,960 --> 00:33:00,320 Speaker 1: us the sort of top one. 638 00:33:00,520 --> 00:33:04,560 Speaker 5: Oh. I love saying what's unsurprising after results her because 639 00:33:04,560 --> 00:33:06,560 Speaker 5: I think I think I was on if you rolled 640 00:33:06,560 --> 00:33:09,200 Speaker 5: the tape on CNN. I got asked, Kim Cornyon survive 641 00:33:09,320 --> 00:33:13,040 Speaker 5: and I said something non definitive like probably not. But 642 00:33:13,040 --> 00:33:16,800 Speaker 5: I should have said no, he can't. Because turnout turnout stunk. 643 00:33:17,000 --> 00:33:19,600 Speaker 5: People who were looking for signs of life for Cornyon 644 00:33:19,640 --> 00:33:21,640 Speaker 5: were assuming, oh, well, it's it's it's not bad in 645 00:33:21,640 --> 00:33:24,080 Speaker 5: the places he did good in the first round. But 646 00:33:24,320 --> 00:33:27,200 Speaker 5: let's remember the first round was the incumbent senator getting 647 00:33:27,200 --> 00:33:29,840 Speaker 5: forty two percent of the vote, eighteen percent of people 648 00:33:29,880 --> 00:33:33,000 Speaker 5: voting for this congressman wez Hunt and the rest going 649 00:33:33,000 --> 00:33:35,560 Speaker 5: to camp Paxton. Haunt ended up endorsing Paxton. But why 650 00:33:35,600 --> 00:33:38,920 Speaker 5: wouldn't people who vote against Courton already vote against Cornon 651 00:33:39,000 --> 00:33:43,000 Speaker 5: again and turnout was low. Everyone Trump endorsed one. I 652 00:33:43,040 --> 00:33:46,040 Speaker 5: would say the interne races were the member member races 653 00:33:46,080 --> 00:33:49,960 Speaker 5: that Republicans forced on Democrats by trinking their districts. And 654 00:33:50,000 --> 00:33:54,000 Speaker 5: then the anti semi race, Yeah, Al Green losing and 655 00:33:54,080 --> 00:33:57,160 Speaker 5: Julie Johnson losing, which I talked to her into Colin 656 00:33:57,240 --> 00:33:59,720 Speaker 5: all Read and she was very It was in funereal, 657 00:33:59,760 --> 00:34:01,400 Speaker 5: but you knew that it was a hard race to win. 658 00:34:01,520 --> 00:34:05,320 Speaker 1: She was the villain, she was sort of his heir parent. 659 00:34:05,440 --> 00:34:07,240 Speaker 1: And then he came back for his seat and kicked 660 00:34:07,240 --> 00:34:07,600 Speaker 1: her out. 661 00:34:07,960 --> 00:34:10,480 Speaker 5: Yes, so she came back for a different seat. So 662 00:34:10,960 --> 00:34:13,319 Speaker 5: there used to be When Republicans drew the maps in 663 00:34:13,320 --> 00:34:17,440 Speaker 5: twenty twenty one, acknowledging that the Dallas metroplex suburbs are 664 00:34:17,480 --> 00:34:20,400 Speaker 5: getting more liberal, they gave already a safe suburban seat 665 00:34:20,520 --> 00:34:22,839 Speaker 5: and they kind of cut that up than Johnson, who 666 00:34:22,840 --> 00:34:24,840 Speaker 5: had moved to that district to run. Suddenly it was 667 00:34:24,880 --> 00:34:28,279 Speaker 5: in a new, super safe, very diverse Dallas district, like 668 00:34:28,360 --> 00:34:31,239 Speaker 5: right in Dallas. And then he ran and ran for 669 00:34:31,320 --> 00:34:34,120 Speaker 5: that race and in that seat, and the again, if 670 00:34:34,160 --> 00:34:36,520 Speaker 5: you look at the first round, turnouts always way down 671 00:34:36,800 --> 00:34:40,640 Speaker 5: in a runoff comparative primary with few exceptions, there's no 672 00:34:40,719 --> 00:34:42,920 Speaker 5: pre collections. When people adjourn, it's not down. But Jasmin 673 00:34:43,000 --> 00:34:46,320 Speaker 5: Crockett won that district against James tallerco Johnson had endorsed 674 00:34:46,320 --> 00:34:48,200 Speaker 5: tell Rico. She was making a point of not saying 675 00:34:48,239 --> 00:34:50,279 Speaker 5: she endorsed tell Rico. You could tell he was just 676 00:34:50,320 --> 00:34:52,880 Speaker 5: demographically not a good district for her. And it's at 677 00:34:52,920 --> 00:34:56,920 Speaker 5: a moment when black Democrats are watching their safe districts 678 00:34:56,960 --> 00:34:59,800 Speaker 5: be destroyed by courts and Republicans. And that's been in 679 00:34:59,840 --> 00:35:02,160 Speaker 5: this in a couple of places. But in that race, 680 00:35:02,280 --> 00:35:05,400 Speaker 5: she said today, this my loss means there's no LGBT 681 00:35:05,480 --> 00:35:08,560 Speaker 5: representation in Congress from Texas, And that's true. The choice 682 00:35:08,600 --> 00:35:13,200 Speaker 5: was LGBTT representation for a black member of Congress when 683 00:35:13,320 --> 00:35:15,480 Speaker 5: they're going to lose at least six Black members of 684 00:35:15,520 --> 00:35:16,759 Speaker 5: Congress because of jerrymandering. 685 00:35:16,920 --> 00:35:19,719 Speaker 1: So let's talk about because I think this gets us 686 00:35:19,719 --> 00:35:22,160 Speaker 1: to a really important story that I felt like I 687 00:35:22,200 --> 00:35:24,960 Speaker 1: have not talked about enough on this podcast, which is 688 00:35:25,280 --> 00:35:30,080 Speaker 1: this very conservative Supreme Court goes in to absolutely decimate 689 00:35:30,120 --> 00:35:34,200 Speaker 1: the Voting Rights Act, and Roberts had started it, and 690 00:35:34,560 --> 00:35:41,279 Speaker 1: now we have this ruling which is basically killing minority representation. 691 00:35:41,520 --> 00:35:44,720 Speaker 1: It is like an attack on the CBC. We're seeing 692 00:35:44,760 --> 00:35:48,839 Speaker 1: it in South Carolina there was this race to redraw. 693 00:35:48,960 --> 00:35:51,200 Speaker 1: The governor wanted to redraw. And it's not going to 694 00:35:51,320 --> 00:35:54,080 Speaker 1: happen now, right, or it may get kicked up to 695 00:35:54,080 --> 00:35:57,320 Speaker 1: another court. But it seems as if there's primary voting. 696 00:35:57,560 --> 00:35:59,640 Speaker 1: So I'd love you to talk about, like it feels 697 00:35:59,719 --> 00:36:03,160 Speaker 1: fair regressive to have this sort of the courts at 698 00:36:03,200 --> 00:36:08,680 Speaker 1: war with any kind of black representation or diversity large 699 00:36:08,719 --> 00:36:12,080 Speaker 1: and they're ripping away congressional seats from people. 700 00:36:12,520 --> 00:36:14,879 Speaker 5: Yeah, and there's their premise, which is the Supreme Court's 701 00:36:14,880 --> 00:36:18,360 Speaker 5: premis now the majority of conservatives is that any attempt 702 00:36:18,400 --> 00:36:23,480 Speaker 5: to ameliorate racial discrimination against minorities is racist against white people. Basically, 703 00:36:23,760 --> 00:36:25,600 Speaker 5: there's more words in the decision if you want to 704 00:36:25,640 --> 00:36:25,960 Speaker 5: read it. 705 00:36:25,960 --> 00:36:26,960 Speaker 1: But it's a good example. 706 00:36:27,200 --> 00:36:30,480 Speaker 5: Yeah. So the Republican stock answer on this has become 707 00:36:31,680 --> 00:36:33,640 Speaker 5: the more aggressive one, the James Blair one, the White 708 00:36:33,640 --> 00:36:37,200 Speaker 5: Houseter edges has been well, Democrats were depending on racial gerrymandering, 709 00:36:37,239 --> 00:36:40,520 Speaker 5: and they were basically proloining seats from the American people 710 00:36:40,520 --> 00:36:45,239 Speaker 5: by racially gerrymandering these districts. What is fair is gerrymandering 711 00:36:45,400 --> 00:36:48,280 Speaker 5: seats so that they can that it's harder to elect 712 00:36:48,280 --> 00:36:52,240 Speaker 5: a Democrat. And I would watch legal moves in Tennessee. 713 00:36:52,440 --> 00:36:55,640 Speaker 5: Next Tennessee has a later primary. They moved fast enough 714 00:36:55,680 --> 00:36:59,880 Speaker 5: Uni South Carolina to change districts before filing for primaries. 715 00:37:00,160 --> 00:37:02,800 Speaker 5: But Memphis has had a district in Congress for a 716 00:37:02,920 --> 00:37:04,760 Speaker 5: very long time. It's been a big, big enough city 717 00:37:04,960 --> 00:37:07,000 Speaker 5: to do that for a very long time. And what 718 00:37:07,120 --> 00:37:10,640 Speaker 5: Republicans did was split up the communities of Memphis into 719 00:37:10,640 --> 00:37:13,160 Speaker 5: three districts and connect them to white rural districts. And 720 00:37:13,200 --> 00:37:15,880 Speaker 5: so I'm assuming most of your listeners don't except Republican premise. 721 00:37:15,960 --> 00:37:20,680 Speaker 5: But in the name of ending discrimination by not having 722 00:37:21,000 --> 00:37:24,200 Speaker 5: districts that are built for black or Hispanic voters to 723 00:37:24,200 --> 00:37:27,000 Speaker 5: win mostly in Democrats mostly win them, they're carving up 724 00:37:27,000 --> 00:37:29,960 Speaker 5: these communities that kept voting for Democrats, and that's the 725 00:37:30,000 --> 00:37:32,960 Speaker 5: Black belt in the South. Those are majority black or 726 00:37:33,120 --> 00:37:36,280 Speaker 5: majority minority cities wherever Republicans control them, they're just cutting 727 00:37:36,320 --> 00:37:38,640 Speaker 5: the cities into couple of pieces. Where they can't do 728 00:37:38,719 --> 00:37:41,600 Speaker 5: that where the populations are too big. Florida is an example. 729 00:37:41,800 --> 00:37:43,960 Speaker 5: There are just too many non white people who vote 730 00:37:44,000 --> 00:37:46,400 Speaker 5: for Democrats in South Florida. They've created a couple of 731 00:37:46,480 --> 00:37:48,160 Speaker 5: safe seats for them, and then a couple of seats 732 00:37:48,160 --> 00:37:51,359 Speaker 5: they can't win. It's partisan gerry mandering, which Supreme Court 733 00:37:51,360 --> 00:37:53,600 Speaker 5: has said is basically fine several times. 734 00:37:54,040 --> 00:37:54,480 Speaker 3: Is there a. 735 00:37:54,600 --> 00:38:00,200 Speaker 1: World where Republicans have, like, for example, in Texas, some 736 00:38:00,239 --> 00:38:04,399 Speaker 1: of these seats they're jerrymandering for the twenty twenty four 737 00:38:05,160 --> 00:38:10,560 Speaker 1: results of a Trump election. Yeah, so like those seats 738 00:38:10,760 --> 00:38:16,319 Speaker 1: in the Rio Grande Valley where they're largely Hispanic, those voters, 739 00:38:16,440 --> 00:38:20,960 Speaker 1: aren't they technically like not as into Trump. Like Trump 740 00:38:21,000 --> 00:38:24,960 Speaker 1: has really gone underwater with those voters, So wouldn't it 741 00:38:25,040 --> 00:38:27,520 Speaker 1: make sense that he won't underperform with them? 742 00:38:27,960 --> 00:38:31,200 Speaker 5: Well, that's that's been a question since Texas acted. So 743 00:38:31,680 --> 00:38:35,720 Speaker 5: you're right, Texas redraws districts. In Florida readoes districts based 744 00:38:35,760 --> 00:38:39,040 Speaker 5: on the last couple of elections, And in Florida there's 745 00:38:39,040 --> 00:38:41,600 Speaker 5: a lot of competent in both states. Right, Kamala did 746 00:38:41,600 --> 00:38:44,760 Speaker 5: worse than Joe Biden with non white voters. Right factory 747 00:38:44,840 --> 00:38:47,160 Speaker 5: not to take the conversation. Of course, had sheally just 748 00:38:47,200 --> 00:38:49,400 Speaker 5: done as well as Biden was non white voter, she 749 00:38:49,520 --> 00:38:51,760 Speaker 5: wins the election, and she did well enough with white voters, 750 00:38:51,800 --> 00:38:54,719 Speaker 5: she lost with Hispanic black ass et cetera. And so 751 00:38:55,000 --> 00:38:57,520 Speaker 5: every poll and a Welcome Pack, which is a centrist 752 00:38:57,520 --> 00:39:00,279 Speaker 5: Democratic group that has a confiden DC NEX week they 753 00:39:00,320 --> 00:39:02,320 Speaker 5: have of pol this too, every poll shows that the 754 00:39:02,400 --> 00:39:06,359 Speaker 5: Latino vote support for Trumps has collapsed. It's closer to 755 00:39:06,360 --> 00:39:10,280 Speaker 5: what it was in twenty sixteen, twenty eighteen, he has added. 756 00:39:10,320 --> 00:39:12,759 Speaker 5: So there are there are culturally conservative Latinos who are 757 00:39:12,800 --> 00:39:15,040 Speaker 5: used to voting Republican, or there are more. Really every 758 00:39:15,040 --> 00:39:17,200 Speaker 5: cycle and that had been happening was kind of arrested 759 00:39:17,440 --> 00:39:19,920 Speaker 5: because of Trump being unpopular with Latinos. In twenty sixteen 760 00:39:20,400 --> 00:39:23,120 Speaker 5: he made gains. Those gains seem to have fallen back. 761 00:39:23,160 --> 00:39:25,960 Speaker 5: And so what does Texas look like? What does Florida 762 00:39:26,000 --> 00:39:28,000 Speaker 5: look like? And we're talking We're talking about Latinos Texas. 763 00:39:28,080 --> 00:39:32,120 Speaker 5: Latinos are generally speaking Mexican of Mexican descent, some Filipino 764 00:39:32,400 --> 00:39:35,200 Speaker 5: in Florida all over the place, Venezuela and Cuban, Puerto Rican, 765 00:39:35,200 --> 00:39:37,640 Speaker 5: et cetera. What does that look like. So in Florida, 766 00:39:37,680 --> 00:39:39,919 Speaker 5: Cuban voters actually have moved a little bit to the left. 767 00:39:40,040 --> 00:39:44,800 Speaker 5: Descendants of Mexicans Venezuela, and those people have been moving 768 00:39:45,040 --> 00:39:46,839 Speaker 5: to the I wouldn't say an US, they moved to left. 769 00:39:46,880 --> 00:39:48,920 Speaker 5: I should say moving against Trump because they have not 770 00:39:49,000 --> 00:39:53,600 Speaker 5: become huge fans of the Democratic Party. It's what's every midterm. 771 00:39:53,600 --> 00:39:55,520 Speaker 5: You want to turn out as many people has voted 772 00:39:55,520 --> 00:39:57,560 Speaker 5: for you last time as you can. If you get 773 00:39:57,600 --> 00:40:00,279 Speaker 5: seventy five percent, you're probably winning a midterm. If you 774 00:40:00,680 --> 00:40:03,560 Speaker 5: can't do that, then at least maybe the other team's 775 00:40:03,560 --> 00:40:05,200 Speaker 5: going to have people who don't switch, but they don't 776 00:40:05,239 --> 00:40:07,279 Speaker 5: show up. And that's what's been happening is that we're 777 00:40:07,280 --> 00:40:09,800 Speaker 5: not seeing a surge of Latino interested Democrats. We're seeing 778 00:40:10,320 --> 00:40:14,120 Speaker 5: less likely that these places that for example, in South Texas, 779 00:40:14,480 --> 00:40:17,560 Speaker 5: Republicans drew a new district. They redrew the thirty fifth district, 780 00:40:17,640 --> 00:40:19,640 Speaker 5: cheeped to have San Marcos, which is a college town. 781 00:40:20,000 --> 00:40:23,480 Speaker 5: Now it's suburbs of San Antonio cutting into Republican areas, 782 00:40:23,640 --> 00:40:26,400 Speaker 5: and that was Latino district, the voter for Trump by 783 00:40:26,440 --> 00:40:29,240 Speaker 5: ten points. Democrats are very confident that is a competitive seat. 784 00:40:29,320 --> 00:40:31,960 Speaker 5: Republicans have hinted that it's competitive because that's the one 785 00:40:32,080 --> 00:40:34,480 Speaker 5: where one of the Democrats that got into The runoff 786 00:40:34,520 --> 00:40:38,520 Speaker 5: was the anti Semitic conspiracy theorist, and Republicans spent a 787 00:40:38,560 --> 00:40:42,120 Speaker 5: million dollars promoted sex therapist conspiracy theorist. Actually, I think 788 00:40:42,120 --> 00:40:43,960 Speaker 5: it hurt her that she was so interesting that the 789 00:40:44,280 --> 00:40:46,239 Speaker 5: New York Post kept writing about her and she got 790 00:40:46,320 --> 00:40:46,960 Speaker 5: kind of famous. 791 00:40:47,120 --> 00:40:49,880 Speaker 1: She was also Maha, right, so I wasn't. 792 00:40:49,640 --> 00:40:51,560 Speaker 5: In the district. I have friends in San Antonio, and 793 00:40:51,600 --> 00:40:54,960 Speaker 5: basically her, she was not a famous person. Necessarily, Shelli 794 00:40:55,080 --> 00:40:57,080 Speaker 5: raised less than ten thousand dollars. She didn't file her 795 00:40:57,120 --> 00:40:59,440 Speaker 5: last report or finance. She was not raised a lot 796 00:40:59,480 --> 00:41:02,400 Speaker 5: of money. But she had some level of online TikTok 797 00:41:02,480 --> 00:41:06,680 Speaker 5: Instagram Reel's awareness as I'm a local activist who posted 798 00:41:06,680 --> 00:41:08,919 Speaker 5: about how terrible ice is and about health and about 799 00:41:08,920 --> 00:41:11,080 Speaker 5: metabolic health. And she had some people who showed up 800 00:41:11,160 --> 00:41:13,120 Speaker 5: and said, well, I've heard of her. I'm going to 801 00:41:13,239 --> 00:41:15,160 Speaker 5: vote for her. And she ended up with I think 802 00:41:15,440 --> 00:41:18,600 Speaker 5: thirty six thirty seven percent in the second round, despite 803 00:41:18,719 --> 00:41:22,120 Speaker 5: having that reputation, and who knows what was in everyone's mind. 804 00:41:22,160 --> 00:41:24,319 Speaker 5: But the point I'm making is that that was a 805 00:41:24,320 --> 00:41:27,440 Speaker 5: seat Republicans drew to be uncompetitive, and they acknowledged by 806 00:41:27,440 --> 00:41:29,480 Speaker 5: spending money well, we could lose this if it's a 807 00:41:29,480 --> 00:41:32,040 Speaker 5: bad enough year, Ken Paxton, Let's say is fifty to 808 00:41:32,040 --> 00:41:34,400 Speaker 5: fifty in Texas, Ken Paxon is going to lose that seat, 809 00:41:34,400 --> 00:41:37,240 Speaker 5: probably by four points. We can't blow this right. 810 00:41:37,160 --> 00:41:39,440 Speaker 1: Right, right, So that I think is a real question, 811 00:41:39,600 --> 00:41:42,680 Speaker 1: like do you think that there's a real chance. I 812 00:41:42,719 --> 00:41:46,879 Speaker 1: think of you as like a person who's pretty skeptical 813 00:41:47,800 --> 00:41:51,400 Speaker 1: after covering politics for a long time. So my listeners 814 00:41:51,680 --> 00:41:55,759 Speaker 1: are smart, but sometimes, like me, a little optimistic. Is 815 00:41:55,920 --> 00:41:59,280 Speaker 1: Texas real? Like could tellerygo really win. 816 00:41:59,480 --> 00:42:03,480 Speaker 5: With a common animation of low Republican turnout and some 817 00:42:03,520 --> 00:42:06,080 Speaker 5: persuasion with latinos. Yes, I think there's a path for 818 00:42:06,200 --> 00:42:08,640 Speaker 5: him to get because Sextus doesn't have general election runoffs, 819 00:42:08,680 --> 00:42:11,040 Speaker 5: there's libertarian to raise as their path for a forty 820 00:42:11,120 --> 00:42:14,960 Speaker 5: nine percent tall rico when there is not. If he 821 00:42:15,000 --> 00:42:17,040 Speaker 5: was running a twenty twenty four, there wouldn't be. Maybe 822 00:42:17,040 --> 00:42:19,080 Speaker 5: he's running twenty twenty eighth, there wouldn't be. But this 823 00:42:19,239 --> 00:42:22,520 Speaker 5: is exactly the scenario where he is competitive. And again 824 00:42:22,560 --> 00:42:24,759 Speaker 5: people say lots of things, but look at where they're 825 00:42:24,760 --> 00:42:28,600 Speaker 5: spending money. There's there's reason Republicans spent Aria keeps saying 826 00:42:28,600 --> 00:42:30,560 Speaker 5: almost one hundred million dollars because we'll find out the 827 00:42:30,560 --> 00:42:31,399 Speaker 5: final numbers later. 828 00:42:31,560 --> 00:42:33,840 Speaker 1: It's one hundred and thirty all in for the primary. 829 00:42:33,920 --> 00:42:35,880 Speaker 5: Yeah, yeah, that's a lot of money. Now it'll be 830 00:42:35,920 --> 00:42:38,320 Speaker 5: refreshed by some donors. But some of that was loyalty 831 00:42:38,360 --> 00:42:40,560 Speaker 5: to John Cordon, who was the whip for a while 832 00:42:40,600 --> 00:42:42,399 Speaker 5: of the party and had helped helped run their Senate 833 00:42:42,440 --> 00:42:45,080 Speaker 5: Campaigns committee, and knew a lot of donors. I mean, 834 00:42:45,080 --> 00:42:47,239 Speaker 5: you're you have that job for twenty years. There are 835 00:42:47,239 --> 00:42:48,680 Speaker 5: a lot of people you can call up and say, hey, 836 00:42:48,960 --> 00:42:50,920 Speaker 5: want I need your help again. Some of that was 837 00:42:50,960 --> 00:42:53,360 Speaker 5: they knew that that Ken Paxton would be a weaker candidate, 838 00:42:53,440 --> 00:42:55,560 Speaker 5: and they have a lot of brio today. They already 839 00:42:55,600 --> 00:42:57,040 Speaker 5: started this when they knew that they were faced to 840 00:42:57,080 --> 00:43:00,000 Speaker 5: Talla Rica. They already started. It's funny today the uncovered 841 00:43:00,040 --> 00:43:02,640 Speaker 5: video of Tall Rico's mostly stuff that was uncovered months 842 00:43:02,640 --> 00:43:05,600 Speaker 5: ago and an uncovered again if he won the primary 843 00:43:05,600 --> 00:43:07,560 Speaker 5: in March, right, Well, they're doing that because they know 844 00:43:07,600 --> 00:43:09,160 Speaker 5: they have a week, they have a week nominee and 845 00:43:09,200 --> 00:43:12,120 Speaker 5: they're trying. The thought was, if it's Cornyn, we can 846 00:43:12,160 --> 00:43:15,200 Speaker 5: spend some money getting people to know that Tella Rico 847 00:43:15,239 --> 00:43:17,760 Speaker 5: has said these things of a gender and God, et cetera, 848 00:43:18,040 --> 00:43:20,280 Speaker 5: and maybe that'll be enough. And they're doing it again 849 00:43:20,520 --> 00:43:23,200 Speaker 5: knowing Gordon said this, knowing that they they're going to 850 00:43:23,280 --> 00:43:25,359 Speaker 5: have to spend tens of millions of dollars where they 851 00:43:25,360 --> 00:43:27,160 Speaker 5: thought they could pocket that and spend it in Michigan. 852 00:43:27,440 --> 00:43:30,600 Speaker 1: Right, So this is all Republicans fucking up and just 853 00:43:30,640 --> 00:43:35,840 Speaker 1: being a disaster. Let's talk about the Democratic primary that 854 00:43:36,000 --> 00:43:38,799 Speaker 1: is keeping me up at night, which is the California 855 00:43:38,920 --> 00:43:40,680 Speaker 1: lubernatorial What the fuck? 856 00:43:41,040 --> 00:43:42,640 Speaker 5: I don't know if that should keep you up at night, 857 00:43:42,719 --> 00:43:47,600 Speaker 5: because Trump actually made that less frightening for Democrats by 858 00:43:47,800 --> 00:43:51,280 Speaker 5: endorsing Steve Hilton. So Steve Hilton fought through his personality, 859 00:43:51,320 --> 00:43:55,080 Speaker 5: former British Conservative Party operative has not run for office before. 860 00:43:56,120 --> 00:43:58,359 Speaker 5: I've spent some time with them, talk to him. He's 861 00:43:58,440 --> 00:44:01,279 Speaker 5: very charismatic, very good at making the argument about California. 862 00:44:01,320 --> 00:44:04,120 Speaker 5: But Trump endorsed him. And so what Democrats worried about 863 00:44:04,160 --> 00:44:06,200 Speaker 5: is they had a field of at one point nine 864 00:44:06,239 --> 00:44:08,840 Speaker 5: candidates who were not breaking through. We're all pulling between 865 00:44:08,840 --> 00:44:12,480 Speaker 5: one and thirteen percent. And then there was Hilton and 866 00:44:12,600 --> 00:44:16,440 Speaker 5: ched Blanco Riverside County Sheriff at the top, and Trump 867 00:44:16,480 --> 00:44:19,160 Speaker 5: and Door saying Hilton does seem in every pole to 868 00:44:19,200 --> 00:44:22,839 Speaker 5: have move Republicans toward Hilton, where he is now saying, oh, 869 00:44:22,920 --> 00:44:24,359 Speaker 5: you would say this because he wants to turn out. 870 00:44:24,560 --> 00:44:25,600 Speaker 3: He's now saying. 871 00:44:25,520 --> 00:44:28,040 Speaker 5: Republicans need to vote strategically. So it's not two Democrats 872 00:44:28,080 --> 00:44:31,160 Speaker 5: in the runoffs, because the two Democrats polling the best, 873 00:44:31,200 --> 00:44:33,960 Speaker 5: and this is every every pole, are Javier Becerra, former 874 00:44:34,000 --> 00:44:37,919 Speaker 5: a secretary and Tom Steyer, who has spent more money 875 00:44:37,920 --> 00:44:39,960 Speaker 5: on this race than anyone spent to run for governor ever, 876 00:44:40,080 --> 00:44:43,000 Speaker 5: the billionaire who at this point I think more than million, 877 00:44:43,239 --> 00:44:45,359 Speaker 5: more than five mints, well over five hundred million dollars 878 00:44:45,400 --> 00:44:47,440 Speaker 5: zone money on his campaigns for president and governor. 879 00:44:47,520 --> 00:44:50,320 Speaker 1: But I like Tom Starr, well, then you shouldn't. 880 00:44:49,920 --> 00:44:53,239 Speaker 5: Be that working unless you really ate like Stier has 881 00:44:53,280 --> 00:44:55,080 Speaker 5: a path to the to the race. 882 00:44:55,440 --> 00:44:57,960 Speaker 1: I want to talk about stire Bessera for a minute, 883 00:44:58,000 --> 00:45:00,359 Speaker 1: because I understand that this is not a good time 884 00:45:00,400 --> 00:45:04,120 Speaker 1: for Democrats to run a billionaire and my man seems 885 00:45:04,160 --> 00:45:07,759 Speaker 1: really old and people don't necessarily like him or he 886 00:45:07,800 --> 00:45:10,520 Speaker 1: doesn't catch fire, but he strikes me as like a 887 00:45:10,560 --> 00:45:13,479 Speaker 1: pretty smart guy. Whenever I've interviewed him, I've thought he's 888 00:45:13,560 --> 00:45:14,360 Speaker 1: pretty smart. 889 00:45:14,840 --> 00:45:18,120 Speaker 5: Yes, and he so he has carved out this space. 890 00:45:18,120 --> 00:45:20,839 Speaker 5: And we know a lot about My colleague Maxikani had 891 00:45:20,840 --> 00:45:23,399 Speaker 5: a story some before this week about the advisories he's 892 00:45:23,440 --> 00:45:26,320 Speaker 5: given influencers about how to campaign for him. He was 893 00:45:26,440 --> 00:45:29,840 Speaker 5: known Styra thought about running for Senate several Senate and governor. 894 00:45:29,840 --> 00:45:31,480 Speaker 5: But in the past he thought about running for the 895 00:45:31,520 --> 00:45:34,160 Speaker 5: Kamala Herissey at one point and then never fold the trigger. 896 00:45:34,280 --> 00:45:37,520 Speaker 5: In this race, his strategy was I'm the most progressive candidate. 897 00:45:37,800 --> 00:45:40,360 Speaker 5: I think he believes it. First specond that lane was 898 00:45:40,400 --> 00:45:42,880 Speaker 5: not being occupied anyone else with a chance because Katie 899 00:45:42,880 --> 00:45:46,080 Speaker 5: Porter hit some of that. She's not I'm not saying 900 00:45:46,080 --> 00:45:48,880 Speaker 5: she's not progressive, but she's never been the most progressive 901 00:45:48,880 --> 00:45:51,440 Speaker 5: candidate race. She is a kind of quality of life, 902 00:45:51,440 --> 00:45:54,560 Speaker 5: pragmatic progressive democrat and so not I'm going to promise 903 00:45:54,600 --> 00:45:57,360 Speaker 5: to do a reparations commission. More, I'm going to promise 904 00:45:57,320 --> 00:45:59,799 Speaker 5: the lawyer costs and not not sign off on every 905 00:45:59,840 --> 00:46:03,160 Speaker 5: single progressive cause. And no one else really broke through. 906 00:46:03,160 --> 00:46:05,480 Speaker 5: Betty who was the former state controller. She was trying 907 00:46:05,480 --> 00:46:07,839 Speaker 5: to own that lane didn't work at all. Styra owned 908 00:46:07,840 --> 00:46:11,359 Speaker 5: that lane. And yes, the argument against him has been, well, 909 00:46:11,400 --> 00:46:13,279 Speaker 5: he's a billionaire and he's saying whatever it takes to 910 00:46:13,280 --> 00:46:16,800 Speaker 5: get elected. He has endorsements, for example, California Nurses United, 911 00:46:16,840 --> 00:46:19,799 Speaker 5: which is right. I say there, like the name of 912 00:46:19,800 --> 00:46:21,640 Speaker 5: the ten most progressive unions in the country. 913 00:46:21,640 --> 00:46:22,200 Speaker 3: They're up there. 914 00:46:22,360 --> 00:46:24,920 Speaker 5: They supported single pair of health care for decades, at 915 00:46:25,000 --> 00:46:27,600 Speaker 5: least decades. They supported this sport for a very long time. 916 00:46:27,880 --> 00:46:30,759 Speaker 5: They were original Bernie Sanders supporters. They spent a ton 917 00:46:30,760 --> 00:46:33,480 Speaker 5: of money on Bernie Sanders, and he's featured them at 918 00:46:33,480 --> 00:46:35,799 Speaker 5: his ads. I'm endorsed by the nurses. He has gotten 919 00:46:35,800 --> 00:46:37,560 Speaker 5: a lot of our revolution, He got a lot of 920 00:46:37,560 --> 00:46:40,600 Speaker 5: progressive support. But by basically saying because I'm a billionaire 921 00:46:40,640 --> 00:46:44,880 Speaker 5: and apologies, I'm a millionaire, sure nobody. No energy company 922 00:46:44,880 --> 00:46:46,719 Speaker 5: can buy me off. Chevron can't buy me off, the 923 00:46:46,719 --> 00:46:48,719 Speaker 5: healthcare and Stream can't buy me off. I'll get in 924 00:46:48,760 --> 00:46:51,319 Speaker 5: there and I will break the bottleneck and get a 925 00:46:51,360 --> 00:46:53,200 Speaker 5: single pair and glean green energy. 926 00:46:53,520 --> 00:46:55,560 Speaker 1: Again, I say this to you, and with all the 927 00:46:55,600 --> 00:46:57,840 Speaker 1: respects in the world, you're Cyneco because you've done this 928 00:46:57,920 --> 00:47:00,879 Speaker 1: for a long time. Is that or is that real. 929 00:47:01,040 --> 00:47:03,719 Speaker 5: I don't think it's bullshit my sense of styre and 930 00:47:03,920 --> 00:47:07,000 Speaker 5: so he's been spending money in progressive democratic profits for 931 00:47:07,040 --> 00:47:09,880 Speaker 5: a very long time. My sense is that he, like 932 00:47:10,320 --> 00:47:13,480 Speaker 5: Franklin Joe Biden, has gotten more progressive as he's gotten older. 933 00:47:13,680 --> 00:47:16,879 Speaker 5: He's not usually at this point somebody who speaks out 934 00:47:17,000 --> 00:47:19,160 Speaker 5: a lot, does lots of interviews. You'd find some clip 935 00:47:19,200 --> 00:47:21,919 Speaker 5: where he's contradicting. He seems to have only moved towards 936 00:47:21,920 --> 00:47:24,759 Speaker 5: the let in his political career. He basically apologized for 937 00:47:24,800 --> 00:47:27,200 Speaker 5: not supporting single pair in twenty twenty and saying he 938 00:47:27,640 --> 00:47:29,920 Speaker 5: didn't quite understand that where he was right. This has 939 00:47:29,960 --> 00:47:32,040 Speaker 5: been the paradox and a lot of broguts a watching 940 00:47:32,080 --> 00:47:34,959 Speaker 5: this because jib Pritzker, who might run for president twenty 941 00:47:35,000 --> 00:47:38,400 Speaker 5: twenty eight, is a billionaire and in it is progressive 942 00:47:38,520 --> 00:47:41,319 Speaker 5: and dealt in his own races with voters in in 943 00:47:41,320 --> 00:47:43,200 Speaker 5: focus groups first saying I don't know if I can 944 00:47:43,200 --> 00:47:45,400 Speaker 5: trust that guy. He eventually built that trust, but he 945 00:47:45,440 --> 00:47:47,680 Speaker 5: did it at then he's if he runs. I've been 946 00:47:47,719 --> 00:47:50,120 Speaker 5: governor for a decade. Steier has never had to run 947 00:47:50,160 --> 00:47:53,279 Speaker 5: anything except to business it so there's some stepism in there, 948 00:47:53,480 --> 00:47:56,560 Speaker 5: and really the best CounterPunch from Vissera and frankly the 949 00:47:56,600 --> 00:47:59,440 Speaker 5: other Democrats who resent that he's doing this and outspending 950 00:47:59,480 --> 00:48:02,680 Speaker 5: them has well, You'll say, you're buying off influencers, So 951 00:48:02,680 --> 00:48:04,759 Speaker 5: how do we know anyone who supports you, really supports you. 952 00:48:04,920 --> 00:48:07,760 Speaker 5: That has added a lot of confusion to the debate 953 00:48:07,800 --> 00:48:11,080 Speaker 5: around him. What Snyer's trying to close on is because 954 00:48:11,440 --> 00:48:13,560 Speaker 5: I mean, the way California works, there's the they didn't 955 00:48:13,600 --> 00:48:16,759 Speaker 5: always used to be a democratic state. Schwarzenegger was governor 956 00:48:16,800 --> 00:48:20,320 Speaker 5: until twenty twenty ten, but now Democrats win the general election, 957 00:48:20,640 --> 00:48:24,120 Speaker 5: big companies expect a Democrat to be governor. And once 958 00:48:24,120 --> 00:48:28,040 Speaker 5: Bisera started surging, just as when Swollwell Eric Swowell is 959 00:48:28,080 --> 00:48:30,480 Speaker 5: surching his super pack, which has a very long name. 960 00:48:30,520 --> 00:48:32,560 Speaker 5: I wish I could memorize. It's it's funny, it's it's 961 00:48:32,920 --> 00:48:35,800 Speaker 5: like a ten word name about people. For Javier Pisera, 962 00:48:35,960 --> 00:48:38,920 Speaker 5: that it's getting all these large donations from energy companies 963 00:48:38,960 --> 00:48:41,480 Speaker 5: and from people who want to do business with the governor. 964 00:48:41,560 --> 00:48:45,360 Speaker 5: And also Bisera is very loose and amorphous on what 965 00:48:45,400 --> 00:48:47,759 Speaker 5: he would actually do. If you watch interviews with him, 966 00:48:48,120 --> 00:48:50,600 Speaker 5: it is very hard, if you even love the credit, 967 00:48:50,840 --> 00:48:53,319 Speaker 5: very hard to come away with a clear idea of 968 00:48:53,320 --> 00:48:56,000 Speaker 5: what he would do as governor apart from deal with 969 00:48:56,080 --> 00:48:59,239 Speaker 5: crises and figure out a solution. And I'm trying to 970 00:48:59,400 --> 00:49:03,600 Speaker 5: dive you negative, but it is really he's really baffling. Yes, Yes, 971 00:49:03,840 --> 00:49:06,480 Speaker 5: Like Dylan Jelly's involved interviewers. The last one he did 972 00:49:06,480 --> 00:49:08,759 Speaker 5: with CNN Alex Michael Send, who's a great reporter who 973 00:49:09,040 --> 00:49:10,719 Speaker 5: now work with CNN, used to be at Fox in LA. 974 00:49:10,840 --> 00:49:13,359 Speaker 5: He's been hearing all the candidates and just Katie Porter 975 00:49:13,440 --> 00:49:15,919 Speaker 5: came on after Bisera and he just couldn't get over 976 00:49:16,080 --> 00:49:18,520 Speaker 5: how she has specific ideas and he does not. Now 977 00:49:18,680 --> 00:49:21,399 Speaker 5: that's not unrealistic because that's again California's a big state. 978 00:49:21,400 --> 00:49:23,759 Speaker 5: They'll be a governor, they'll be a democratic legislature because 979 00:49:23,800 --> 00:49:25,600 Speaker 5: Republicans are not in a position to win that, and 980 00:49:25,680 --> 00:49:27,960 Speaker 5: so there'll be a governor who has lots of business 981 00:49:28,000 --> 00:49:29,799 Speaker 5: interests who want to make sure that you know, the 982 00:49:29,840 --> 00:49:32,799 Speaker 5: governor doesn't sign everything progressive that comes out legislature, as 983 00:49:32,880 --> 00:49:35,320 Speaker 5: News didn't, as Jerry Brown did. They both would veto 984 00:49:35,520 --> 00:49:38,719 Speaker 5: some progressive ideas. They're worried. I'm agreeing with like with 985 00:49:38,760 --> 00:49:41,239 Speaker 5: Tom Styer's premise. Here, they're worried that Tom Steyer is 986 00:49:41,280 --> 00:49:43,400 Speaker 5: for real and he gets in there and somebody passes 987 00:49:43,480 --> 00:49:45,759 Speaker 5: a California single fair healthcare bill, he'll sign it. So 988 00:49:45,800 --> 00:49:46,600 Speaker 5: they want to stop that. 989 00:49:46,920 --> 00:49:49,880 Speaker 1: Let's go, thank you, thank you, thank you, Dave. 990 00:49:50,200 --> 00:49:50,920 Speaker 5: Of course, thank you. 991 00:49:53,080 --> 00:49:56,640 Speaker 1: No Jesse Cannon. 992 00:49:57,000 --> 00:50:00,640 Speaker 2: So Molly, we have you know, this economy that is 993 00:50:01,120 --> 00:50:06,120 Speaker 2: just totally totally messed up, affordability crisis. But you know what, 994 00:50:06,320 --> 00:50:09,840 Speaker 2: the Trump governments laser focused on making sure that you 995 00:50:09,960 --> 00:50:11,400 Speaker 2: don't talk about DEI. 996 00:50:11,960 --> 00:50:17,920 Speaker 1: Yeah, it's because that's the real danger, is DEI. I mean, look, 997 00:50:18,160 --> 00:50:21,000 Speaker 1: this is so stupid you want to die. And I 998 00:50:21,000 --> 00:50:24,680 Speaker 1: think it's important to remember that this administration is just 999 00:50:25,040 --> 00:50:29,040 Speaker 1: wasting your tax dollars on really stupid crap, much of 1000 00:50:29,080 --> 00:50:32,560 Speaker 1: which is made up right, That the great danger is 1001 00:50:32,640 --> 00:50:37,080 Speaker 1: not racism but anti racism, that the great danger is 1002 00:50:37,160 --> 00:50:41,279 Speaker 1: not discrimination but anti discrimination. I mean, it's just a 1003 00:50:41,440 --> 00:50:46,480 Speaker 1: very stupid time to be alive and watching this administration 1004 00:50:46,760 --> 00:50:50,719 Speaker 1: waste tax dollars on you know, Donald Trump's favorite building projects, 1005 00:50:50,760 --> 00:50:53,719 Speaker 1: on painting the bottom of the reflecting pool. It's just 1006 00:50:53,760 --> 00:50:56,640 Speaker 1: a very stupid, stupid time to be alive and this 1007 00:50:56,760 --> 00:51:01,440 Speaker 1: administration is doing everything it can to waste our money. 1008 00:51:02,160 --> 00:51:06,520 Speaker 1: That's it for this episode of Fast Politics. Tune in 1009 00:51:06,840 --> 00:51:12,280 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 1010 00:51:12,360 --> 00:51:16,680 Speaker 1: minds and politics make sense of all this chaos. If 1011 00:51:16,719 --> 00:51:19,760 Speaker 1: you enjoy this podcast, please send it to a friend 1012 00:51:20,200 --> 00:51:23,400 Speaker 1: and keep the conversation going. Thanks for listening.