1 00:00:00,480 --> 00:00:00,960 Speaker 1: Hello. 2 00:00:01,200 --> 00:00:04,239 Speaker 2: Welcome to Fast Politics. I'm Molly Jongfast, and we have 3 00:00:04,280 --> 00:00:06,980 Speaker 2: such a great show for you today. Later in the show, 4 00:00:07,060 --> 00:00:10,870 Speaker 2: I will talk to the nation's Bhaskar Sankara about how 5 00:00:10,900 --> 00:00:14,909 Speaker 2: socialism can deliver for the American people. But first, we 6 00:00:14,950 --> 00:00:19,350 Speaker 2: have The Lincoln Project's Rick Wilson talking about how Republicans 7 00:00:19,650 --> 00:00:22,320 Speaker 2: are in a lot of trouble. Rick Wilson. 8 00:00:22,340 --> 00:00:23,520 Speaker 3: Hello, Molly. 9 00:00:24,430 --> 00:00:27,160 Speaker 2: I'm going I'm about to read to you the list 10 00:00:27,220 --> 00:00:32,100 Speaker 2: of people that Donald Trump had on his plane when 11 00:00:32,479 --> 00:00:37,100 Speaker 2: he was flying to his latest rally. The one where 12 00:00:37,159 --> 00:00:42,210 Speaker 2: he famously said some things we can't say on cable television. 13 00:00:43,390 --> 00:00:47,629 Speaker 4: Yes, indeed. Right. But go ahead, read the list. 14 00:00:47,670 --> 00:00:50,730 Speaker 3: I think this is a sign that we will interpret 15 00:00:50,950 --> 00:00:52,750 Speaker 3: for our audiences after you read the list. 16 00:00:53,070 --> 00:00:57,930 Speaker 2: Yeah, it is like the bad idea caucus. Okay, among 17 00:00:57,990 --> 00:01:01,270 Speaker 2: those traveling with Trump on his way to the Dayton, 18 00:01:01,430 --> 00:01:09,670 Speaker 2: Ohio midterm rally, Boris Epstein, Esquire with the best, Natalie 19 00:01:09,709 --> 00:01:11,309 Speaker 2: Harp or the human printer. 20 00:01:11,330 --> 00:01:12,470 Speaker 3: First lady. 21 00:01:12,860 --> 00:01:17,220 Speaker 2: Holti, the king of the problematic poster board. 22 00:01:17,240 --> 00:01:18,280 Speaker 3: Oh, yeah. 23 00:01:19,060 --> 00:01:21,720 Speaker 2: Daryl Issa. Dusty Johnson. 24 00:01:21,740 --> 00:01:22,979 Speaker 3: A blast from the past, baby. 25 00:01:23,080 --> 00:01:23,560 Speaker 4: Right there. 26 00:01:24,100 --> 00:01:25,460 Speaker 3: Daryl fricking Issa. 27 00:01:25,940 --> 00:01:26,160 Speaker 1: Yeah. 28 00:01:27,040 --> 00:01:29,539 Speaker 2: A couple of other people who don't really matter. And 29 00:01:29,680 --> 00:01:31,959 Speaker 2: CIA director John Radcliffe. 30 00:01:32,660 --> 00:01:34,920 Speaker 3: Because why wouldn't you go to a political event with 31 00:01:34,970 --> 00:01:40,330 Speaker 3: your head of national intelligence and your CIA director? Makes 32 00:01:40,390 --> 00:01:44,770 Speaker 3: perfect sense to me. But look, I have a theory 33 00:01:44,790 --> 00:01:47,289 Speaker 3: of the case. This is the time of the year 34 00:01:47,510 --> 00:01:50,480 Speaker 3: where the people who should be on the plane are 35 00:01:50,560 --> 00:01:55,280 Speaker 3: Susie Wiles and Chris LaCivita and Tony Fabrizio and James 36 00:01:55,320 --> 00:01:58,200 Speaker 3: Blair and the people that make up the core political team. 37 00:01:58,780 --> 00:02:01,780 Speaker 3: But this seems more like the core binky team. This 38 00:02:01,810 --> 00:02:03,430 Speaker 3: seems more like the people who make him feel good. 39 00:02:04,390 --> 00:02:09,030 Speaker 3: And I got to tell you, I have a real 40 00:02:09,090 --> 00:02:13,220 Speaker 3: skepticism about whether Susie's got any hand left at all 41 00:02:13,340 --> 00:02:13,829 Speaker 3: on the tiller. 42 00:02:13,850 --> 00:02:14,790 Speaker 1: I have heard. 43 00:02:16,620 --> 00:02:17,140 Speaker 4: From a couple of. 44 00:02:17,160 --> 00:02:20,299 Speaker 3: Republicans that Fabrizio and La Cevita are now like the, 45 00:02:20,760 --> 00:02:23,720 Speaker 3: come sweet meteor of death, take us all phase of 46 00:02:23,760 --> 00:02:24,720 Speaker 3: their careers. 47 00:02:25,020 --> 00:02:28,820 Speaker 2: That's because Fabrizio is seeing those polls with John Ancelone 48 00:02:29,220 --> 00:02:32,209 Speaker 2: and John who is the, so they're doing, so what 49 00:02:32,220 --> 00:02:36,430 Speaker 2: we're seeing now is that bipartisan pollsters, Ancelone and Fabrizio 50 00:02:36,450 --> 00:02:40,370 Speaker 2: are doing polls together. Those two are like the killers, right? 51 00:02:40,389 --> 00:02:45,329 Speaker 2: Like they both have really good track records. Fabrizio is 52 00:02:45,410 --> 00:02:49,790 Speaker 2: like really the gold standards for Republican polling. We see 53 00:02:49,850 --> 00:02:53,350 Speaker 2: that Anzalone is the same for Democratic polling. And John 54 00:02:53,389 --> 00:02:57,060 Speaker 2: has shown that like the bottom has fucking fallen out 55 00:02:57,120 --> 00:02:57,799 Speaker 2: for Republicans. 56 00:02:57,880 --> 00:03:00,720 Speaker 3: And if you look at the and here's one of 57 00:03:00,740 --> 00:03:04,100 Speaker 3: the things about election polling. And my son, Andrew, and 58 00:03:04,120 --> 00:03:05,460 Speaker 3: I were talking about this the other day because he's 59 00:03:05,760 --> 00:03:12,040 Speaker 3: a pollster. Very rarely do the numbers get better in 60 00:03:12,080 --> 00:03:15,040 Speaker 3: the last month of a campaign. But they also don't 61 00:03:15,540 --> 00:03:19,060 Speaker 3: dramatically drop out. But what we're seeing now, if you 62 00:03:19,090 --> 00:03:21,109 Speaker 3: look at the New York Times Siena poll from just 63 00:03:21,150 --> 00:03:24,989 Speaker 3: this morning, the numbers are dropping out. The approvals are 64 00:03:25,030 --> 00:03:29,010 Speaker 3: down dramatically. The disapprovals are up dramatically. And that's across 65 00:03:29,030 --> 00:03:30,950 Speaker 3: the board from everybody from the president on down to 66 00:03:30,990 --> 00:03:36,860 Speaker 3: Republican dog catcher candidates in the states. And that motion 67 00:03:36,920 --> 00:03:42,440 Speaker 3: is because voters aren't getting any feedback that says, hey, 68 00:03:42,480 --> 00:03:42,900 Speaker 3: we hear you. 69 00:03:43,520 --> 00:03:48,490 Speaker 2: Yeah. Well, that's because when voters get a window into 70 00:03:48,530 --> 00:03:52,470 Speaker 2: Donald Trump, it's him gluing gold stuff on the oval 71 00:03:52,870 --> 00:03:57,750 Speaker 2: or complaining about the heliport, you know, the helipad. Or, 72 00:03:57,890 --> 00:04:01,610 Speaker 2: I mean, the split screen that you're getting from the 73 00:04:01,670 --> 00:04:05,750 Speaker 2: Trump White House is like a golden split screen of 74 00:04:05,790 --> 00:04:09,210 Speaker 2: your taxpayer funds being just incinerated. 75 00:04:09,570 --> 00:04:09,750 Speaker 1: Yeah. 76 00:04:10,390 --> 00:04:12,670 Speaker 3: Well, there was that clip of Kevin Hassett. I guess 77 00:04:12,710 --> 00:04:15,660 Speaker 3: it was on CNN. Kevin Hassett saying like, no, the 78 00:04:15,700 --> 00:04:16,420 Speaker 3: economy is great. 79 00:04:16,440 --> 00:04:19,200 Speaker 4: You're just too stupid to realize it. It's so good. 80 00:04:19,620 --> 00:04:21,400 Speaker 4: Things are great. It's amazing. 81 00:04:21,960 --> 00:04:23,750 Speaker 3: That is not where the voters are at right now. 82 00:04:24,250 --> 00:04:26,570 Speaker 2: And he was on with Tapper today and I was 83 00:04:26,610 --> 00:04:30,029 Speaker 2: reading the transcript where he was saying like, it's not fair. 84 00:04:30,170 --> 00:04:32,290 Speaker 2: You know, if I say the economy is great, I'm 85 00:04:32,370 --> 00:04:34,850 Speaker 2: in a bind. And if I say the economy is bad, 86 00:04:34,890 --> 00:04:37,950 Speaker 2: I'm in a bind. No, no, honey. Like people can't 87 00:04:37,990 --> 00:04:41,810 Speaker 2: afford stuff. And so whatever you say, they're going to 88 00:04:41,830 --> 00:04:42,930 Speaker 2: be like this fucking bullshit. 89 00:04:44,020 --> 00:04:48,560 Speaker 3: The bullshit detector, the shit filter, as they say, is full. 90 00:04:49,380 --> 00:04:51,979 Speaker 3: And nobody, and you have talked about this a bunch, 91 00:04:52,300 --> 00:04:56,859 Speaker 3: it's the unspinable nature of a gas, you know, the 92 00:04:56,880 --> 00:04:59,460 Speaker 3: gas prices. And no matter how much of a hard 93 00:04:59,520 --> 00:05:01,870 Speaker 3: Republican you are, how much Trump supporter you are, that 94 00:05:01,900 --> 00:05:06,270 Speaker 3: gas is not $ 2 a gallon. It's $ 5 a gallon. 95 00:05:06,670 --> 00:05:08,750 Speaker 3: That diesel, if you're a farmer or a trucker, is 96 00:05:08,790 --> 00:05:12,010 Speaker 3: not $ 3 a gallon. It's $ 7 a gallon or more 97 00:05:12,050 --> 00:05:14,030 Speaker 3: now in some places in the country. And so the 98 00:05:14,089 --> 00:05:20,089 Speaker 3: crazy part of this is his team, Fabrizio and La 99 00:05:21,270 --> 00:05:25,570 Speaker 3: Cevita and Blair, they do understand politics. And they understand 100 00:05:25,990 --> 00:05:28,810 Speaker 3: that what should be happening is the president should be 101 00:05:28,850 --> 00:05:32,390 Speaker 3: out there saying something. Like, I'm going to get gas 102 00:05:32,430 --> 00:05:35,410 Speaker 3: prices down, not this vague sort of woo-woo, you know, 103 00:05:35,490 --> 00:05:38,690 Speaker 3: we've beaten Iran 400 times now, and they're obliterated, and 104 00:05:38,710 --> 00:05:40,070 Speaker 3: they're begging for a deal. 105 00:05:40,420 --> 00:05:41,260 Speaker 4: They're clearly not. 106 00:05:41,720 --> 00:05:41,980 Speaker 1: Right. 107 00:05:42,870 --> 00:05:47,510 Speaker 3: But even acknowledging the problem instead of saying things like, 108 00:05:48,060 --> 00:05:51,300 Speaker 3: you know, the economy is amazing and it's great and 109 00:05:51,420 --> 00:05:55,860 Speaker 3: everybody's happy, which, you know, when you tell voters enough 110 00:05:55,900 --> 00:05:59,000 Speaker 3: times that something that they don't believe, they know you're 111 00:05:59,020 --> 00:06:00,280 Speaker 3: just gaslighting them at that point. 112 00:06:00,300 --> 00:06:01,130 Speaker 4: They're going to switch you off. 113 00:06:02,089 --> 00:06:05,110 Speaker 2: So I want to say two things. In Alaska, where 114 00:06:05,130 --> 00:06:09,130 Speaker 2: it looks like Dan Sullivan, the incumbent, may very well 115 00:06:09,190 --> 00:06:12,050 Speaker 2: lose his Senate seat. I mean, all the polls show that. 116 00:06:12,070 --> 00:06:13,330 Speaker 4: Don't marry, baby. 117 00:06:13,350 --> 00:06:18,500 Speaker 2: We love her. Diesel prices are $ 9, the gallon. And 118 00:06:18,560 --> 00:06:24,240 Speaker 2: people have had to buy new pumps because the numbers 119 00:06:24,400 --> 00:06:26,080 Speaker 2: do not go that high. 120 00:06:27,140 --> 00:06:28,440 Speaker 4: That, you know. 121 00:06:29,740 --> 00:06:36,339 Speaker 3: The diesel fuel price crisis in this country is profoundly inflationary. 122 00:06:37,339 --> 00:06:39,620 Speaker 3: It is profoundly damaging. There are these truckers now who 123 00:06:39,660 --> 00:06:42,260 Speaker 3: are like, I saw an interview the other day with 124 00:06:42,300 --> 00:06:46,940 Speaker 3: a trucker. He says, my credit card has a $ 2, 500 125 00:06:44,860 --> 00:06:48,100 Speaker 3: limit and it costs me $ 1, 000 to tank up every 126 00:06:48,140 --> 00:06:51,059 Speaker 3: three days. I don't get paid, but every two weeks. 127 00:06:51,960 --> 00:06:56,760 Speaker 3: And so that math doesn't math. And the inflationary aspect 128 00:06:56,820 --> 00:06:58,810 Speaker 3: of it is something that keeps hitting and keeps hitting 129 00:06:58,820 --> 00:07:03,940 Speaker 3: and keeps hitting. And the other visual people are getting 130 00:07:04,720 --> 00:07:09,640 Speaker 3: is Dan Scavino on a cart popping champagne and gold leaf, 131 00:07:09,700 --> 00:07:13,760 Speaker 3: all the little things, and all the gigas and the decorating, 132 00:07:13,960 --> 00:07:16,840 Speaker 3: like you were talking about. None of that is adding 133 00:07:16,900 --> 00:07:21,310 Speaker 3: up for voters right now. And eventually voters can do math. 134 00:07:21,970 --> 00:07:25,700 Speaker 2: Yeah. I mean, so let's just talk about some of 135 00:07:25,740 --> 00:07:29,000 Speaker 2: these races where voters are doing math, because I think it's, 136 00:07:29,200 --> 00:07:32,560 Speaker 2: you know, we had Trump in the ruby red state 137 00:07:32,680 --> 00:07:36,700 Speaker 2: of Ohio, right? Oh, yeah. He's going, I think he's 138 00:07:36,720 --> 00:07:38,350 Speaker 2: going to Mobile, right? 139 00:07:38,490 --> 00:07:38,700 Speaker 4: Alabama. 140 00:07:38,730 --> 00:07:41,850 Speaker 3: He went to Mobile last, he was in Mobile night 141 00:07:41,870 --> 00:07:45,610 Speaker 3: before last in a 6,000 person arena, and apparently there 142 00:07:45,650 --> 00:07:49,130 Speaker 3: were about 350 people there. I think this is telling 143 00:07:49,170 --> 00:07:49,710 Speaker 3: us something. 144 00:07:50,410 --> 00:07:53,530 Speaker 2: So- But I think what's the most interesting here is 145 00:07:53,570 --> 00:07:56,290 Speaker 2: that when they go on the trail to swing states, 146 00:07:56,350 --> 00:07:57,430 Speaker 2: like what we saw with J.D. 147 00:07:57,470 --> 00:07:57,910 Speaker 1: Vance. 148 00:07:57,950 --> 00:07:59,860 Speaker 4: Swing states like Oklahoma. 149 00:08:01,440 --> 00:08:06,000 Speaker 2: Or Kansas. Swing states like Kansas. Kansas. They can't like 150 00:08:06,580 --> 00:08:09,020 Speaker 2: or I was a great example. So the Iowa Senate 151 00:08:09,040 --> 00:08:12,420 Speaker 2: candidate wouldn't campaign with J.D. Vance when he came. 152 00:08:13,020 --> 00:08:14,840 Speaker 1: So and he. 153 00:08:14,760 --> 00:08:16,420 Speaker 2: Was like, oh, she's really busy. 154 00:08:16,800 --> 00:08:19,000 Speaker 1: So what what is my hair? 155 00:08:19,440 --> 00:08:23,000 Speaker 2: Right. What what is behind the scenes happening where a 156 00:08:23,100 --> 00:08:26,700 Speaker 2: Senate candidate decides not to campaign with the vice president 157 00:08:26,810 --> 00:08:30,270 Speaker 2: or the president? Like what is what what is she seeing? 158 00:08:31,450 --> 00:08:34,610 Speaker 3: They're seeing in their polls that voters directly attribute the 159 00:08:34,670 --> 00:08:37,870 Speaker 3: economic crisis they're facing to Donald Trump. They're seeing that 160 00:08:37,910 --> 00:08:40,290 Speaker 3: Donald Trump's approval rating is now. 161 00:08:42,050 --> 00:08:43,390 Speaker 4: The range of approval ratings for. 162 00:08:43,350 --> 00:08:48,130 Speaker 3: Trump last week, his best number was 37. His worst 163 00:08:48,200 --> 00:08:52,439 Speaker 3: number was 27. They know that he is in that 164 00:08:52,520 --> 00:08:53,239 Speaker 3: red zone now. 165 00:08:53,540 --> 00:08:57,540 Speaker 4: Look, if the incumbent... The Bush line? What's that? 166 00:08:57,980 --> 00:08:58,820 Speaker 2: The Bush line? 167 00:08:59,520 --> 00:09:02,839 Speaker 4: Oh, it's the Bush line. It's absolutely the Bush line 168 00:09:02,880 --> 00:09:03,300 Speaker 4: in 2006. 169 00:09:03,300 --> 00:09:07,920 Speaker 3: And I had about 35 clients in 2006. 170 00:09:07,920 --> 00:09:12,750 Speaker 4: And we managed to win, I think, 12 of our 171 00:09:12,790 --> 00:09:13,490 Speaker 4: races that year. 172 00:09:13,850 --> 00:09:15,230 Speaker 2: And that was amazing. 173 00:09:15,270 --> 00:09:19,449 Speaker 4: That was a good year. But you couldn't... I mean, 174 00:09:19,690 --> 00:09:20,730 Speaker 4: stop me if this sounds familiar. 175 00:09:21,290 --> 00:09:24,349 Speaker 3: Unpopular Middle East war, president with approval ratings in the 176 00:09:24,410 --> 00:09:29,080 Speaker 3: low 30s, high 20s, inflation... and a sense that the 177 00:09:29,160 --> 00:09:32,500 Speaker 3: economy is out of reach for ordinary people. Now, that 178 00:09:32,520 --> 00:09:40,240 Speaker 3: would peak in 2008, but my God, the historical similarities 179 00:09:40,520 --> 00:09:43,330 Speaker 3: are screaming at us. And I've been saying this for 180 00:09:43,650 --> 00:09:44,150 Speaker 3: six months. 181 00:09:44,650 --> 00:09:48,530 Speaker 2: But back then, W, and I know you can attest 182 00:09:48,550 --> 00:09:51,530 Speaker 2: to this because you were there, told candidates they could 183 00:09:51,590 --> 00:09:52,569 Speaker 2: run against him. 184 00:09:52,570 --> 00:09:52,610 Speaker 3: 100%. 185 00:09:52,610 --> 00:09:53,770 Speaker 4: Rove had any number of. 186 00:09:58,260 --> 00:10:01,819 Speaker 3: First, very diplomatic phone calls from candidates like, you know, 187 00:10:02,020 --> 00:10:04,360 Speaker 3: it'd be helpful if you could send money, but not 188 00:10:04,740 --> 00:10:07,500 Speaker 3: necessarily our point. And Rove's attitude at the time was like, 189 00:10:07,820 --> 00:10:09,850 Speaker 3: you do you, go win, baby. Do what you got 190 00:10:09,890 --> 00:10:13,410 Speaker 3: to do. But now, if La Savita goes to Trump 191 00:10:14,370 --> 00:10:17,690 Speaker 3: and says, candidate X doesn't want you to come to 192 00:10:17,730 --> 00:10:20,679 Speaker 3: their state, He's going to go there just to spite them. 193 00:10:21,160 --> 00:10:24,540 Speaker 3: He's coming to Florida to torture Byron Donalds because Byron 194 00:10:24,559 --> 00:10:26,860 Speaker 3: Donalds took Trump off his website. 195 00:10:27,100 --> 00:10:29,359 Speaker 2: So the Wall Street Journal has a big, deep dive 196 00:10:29,400 --> 00:10:33,380 Speaker 2: into Byron Donalds today. And it talks about how when 197 00:10:33,460 --> 00:10:36,230 Speaker 2: Trump found out that Byron Donalds took him off the website, 198 00:10:36,540 --> 00:10:40,089 Speaker 2: Byron tweeted a picture of him and Trump, but it 199 00:10:40,150 --> 00:10:41,970 Speaker 2: wasn't enough for Trump. 200 00:10:42,950 --> 00:10:43,610 Speaker 3: It's never enough. 201 00:10:44,490 --> 00:10:45,210 Speaker 4: It's never enough. 202 00:10:46,570 --> 00:10:49,100 Speaker 3: And there's a reason that Byron Donalds, who has now 203 00:10:49,140 --> 00:10:52,880 Speaker 3: spent 80 million bucks in Florida, why his approval rating 204 00:10:52,900 --> 00:10:56,420 Speaker 3: went from 42 down to 36. And that is because 205 00:10:56,500 --> 00:10:58,260 Speaker 3: when you ask voters in a focus group, and I 206 00:10:58,300 --> 00:11:01,300 Speaker 3: have seen one, who do you associate Byron Donalds with? 207 00:11:01,360 --> 00:11:04,260 Speaker 3: Who will he serve, the people of Florida or Donald Trump? 208 00:11:05,260 --> 00:11:08,220 Speaker 3: And these are undecided voters. 65% of them say that 209 00:11:08,240 --> 00:11:09,020 Speaker 3: he'll serve Donald Trump. 210 00:11:10,100 --> 00:11:10,720 Speaker 4: It's not pretty. 211 00:11:11,140 --> 00:11:15,980 Speaker 3: And Trump in Florida is 13 points underwater right now. 212 00:11:16,800 --> 00:11:17,380 Speaker 4: On his approval. 213 00:11:17,480 --> 00:11:21,400 Speaker 3: And he's the same for all of the other policy issues. 214 00:11:22,460 --> 00:11:24,740 Speaker 3: It's similar to the national numbers. In Florida, he's underwater 215 00:11:24,780 --> 00:11:28,580 Speaker 3: on the economy and inflation by 50 points. Nobody likes 216 00:11:28,640 --> 00:11:33,500 Speaker 3: the guy on this. So Donald is running into the 217 00:11:33,590 --> 00:11:38,300 Speaker 3: headwinds of Trump. And if Trump's people were in control 218 00:11:38,350 --> 00:11:40,089 Speaker 3: of him, or if he was smart, they would be 219 00:11:40,110 --> 00:11:41,750 Speaker 3: able to say, hey, boss, we got to just let 220 00:11:41,790 --> 00:11:45,250 Speaker 3: him go. Let him try to run an independent 5B race. 221 00:11:45,760 --> 00:11:47,680 Speaker 3: but they can't do it. It's just impossible for them. 222 00:11:48,620 --> 00:11:53,000 Speaker 2: So here's my question for you. We have Byron Donalds struggling. 223 00:11:53,210 --> 00:11:58,390 Speaker 2: We have David Jolly, who you have some familiarity with. 224 00:11:58,410 --> 00:11:59,229 Speaker 4: I do. 225 00:11:59,770 --> 00:12:02,750 Speaker 2: What does David Jolly need to do to win in Florida? 226 00:12:03,550 --> 00:12:07,460 Speaker 3: Look, it's still a tie ball game. Jolly needs to 227 00:12:07,700 --> 00:12:10,200 Speaker 3: be up on TV enough. And I can tell you 228 00:12:10,240 --> 00:12:13,980 Speaker 3: there'll be some ads launching this week Across Florida, they'll 229 00:12:14,000 --> 00:12:18,400 Speaker 3: be targeting Donald's from an outside group. Finally, that's got 230 00:12:18,440 --> 00:12:21,780 Speaker 3: resources coming through that's going to hit him pretty hard. 231 00:12:23,490 --> 00:12:25,170 Speaker 3: He needs to keep making that contrast. He needs to 232 00:12:25,190 --> 00:12:27,969 Speaker 3: keep tying Donald's to Trump every day. He needs to 233 00:12:27,990 --> 00:12:32,770 Speaker 3: keep reminding voters in a broader picture that the Republican 234 00:12:32,809 --> 00:12:35,490 Speaker 3: Party has been in charge of Florida for 30 straight years. 235 00:12:36,230 --> 00:12:38,130 Speaker 3: There's never been a single day a Democrat was in 236 00:12:38,170 --> 00:12:40,929 Speaker 3: charge of any policy in Florida and that their insurance 237 00:12:40,970 --> 00:12:43,980 Speaker 3: rates are through the roof. that housing is unaffordable, that 238 00:12:44,040 --> 00:12:47,040 Speaker 3: healthcare is unaffordable, that rural hospitals are closing at a 239 00:12:47,220 --> 00:12:52,900 Speaker 3: rapid clip, and that for them to have a prosperous future, 240 00:12:53,320 --> 00:12:56,470 Speaker 3: they have to change something. Florida is the state that 241 00:12:56,570 --> 00:12:59,190 Speaker 3: I think right now is in the most churn politically 242 00:12:59,250 --> 00:13:02,350 Speaker 3: across the country. We're starting to see races moving that 243 00:13:02,370 --> 00:13:07,320 Speaker 3: had no business moving before this. In 13, Leela Gray 244 00:13:07,360 --> 00:13:11,350 Speaker 3: against Annapolina Luna. Salazar down in South Florida. 245 00:13:11,650 --> 00:13:17,059 Speaker 2: Let's talk about Elliot Rodriguez and Maria Salazar. Salazar won 246 00:13:17,080 --> 00:13:20,240 Speaker 2: that seat by 20 points. It is Miami. It is 247 00:13:20,420 --> 00:13:24,640 Speaker 2: Cuban voters, which I feel like are their own specific thing. 248 00:13:25,450 --> 00:13:25,640 Speaker 4: Sure. 249 00:13:26,830 --> 00:13:28,689 Speaker 3: So one of the things you got to remember about 250 00:13:28,809 --> 00:13:31,490 Speaker 3: Elliot Rodriguez, first off, is he was the local CBS 251 00:13:31,590 --> 00:13:34,449 Speaker 3: anchor for years and years. Everybody knows this guy. They 252 00:13:34,490 --> 00:13:37,320 Speaker 3: have that classic parasocial relationship. 253 00:13:37,530 --> 00:13:38,270 Speaker 4: Oh, there's Elliot. 254 00:13:38,410 --> 00:13:40,380 Speaker 3: You know, he's going to talk about the high school 255 00:13:40,400 --> 00:13:43,099 Speaker 3: football game, or he's going to talk about the car 256 00:13:43,140 --> 00:13:45,720 Speaker 3: crash on 95 or whatever it is, right? Or the 257 00:13:45,800 --> 00:13:47,540 Speaker 3: corrupt city council. That's a story you can have every 258 00:13:47,559 --> 00:13:53,920 Speaker 3: day in Miami. So Salazar was an all in on Trump. 100% 259 00:13:53,920 --> 00:13:59,020 Speaker 3: voting record with him. The whole thing. And then Trump 260 00:13:59,520 --> 00:14:02,800 Speaker 3: and Stephen Miller, they said, okay, we're going to undo 261 00:14:03,120 --> 00:14:05,830 Speaker 3: TPS status for all the Haitians. 262 00:14:06,750 --> 00:14:07,569 Speaker 4: And there was a little rumble. 263 00:14:08,070 --> 00:14:10,850 Speaker 3: And all the Dominicans, a little bigger rumble. And all 264 00:14:10,890 --> 00:14:11,710 Speaker 3: the Venezuelans. 265 00:14:11,750 --> 00:14:13,070 Speaker 4: And then a lot of people were like, wait, what? 266 00:14:13,270 --> 00:14:14,110 Speaker 4: And then Cubans. 267 00:14:14,890 --> 00:14:16,800 Speaker 2: Oh, did they do it for Cubans too? 268 00:14:17,400 --> 00:14:19,800 Speaker 3: He's done it for Cubans too. So they have taken 269 00:14:19,860 --> 00:14:25,100 Speaker 3: TPS away from about 350,000 voters or people, not voters, 270 00:14:25,880 --> 00:14:28,119 Speaker 3: excuse me. I don't want to get DHS on me. 271 00:14:28,100 --> 00:14:32,600 Speaker 3: 350,000 people in Dade County. Those people are being deported 272 00:14:33,560 --> 00:14:37,070 Speaker 3: and they're being deported now. They've been told either self-deport 273 00:14:37,110 --> 00:14:39,730 Speaker 3: or ICE will come and arrest you. Now those people 274 00:14:39,870 --> 00:14:42,050 Speaker 3: are not voters, but you know who they are? They're 275 00:14:42,070 --> 00:14:44,870 Speaker 3: the employees of people because they were all here legally 276 00:14:45,070 --> 00:14:48,100 Speaker 3: under TPS. So they got work permits. They were the 277 00:14:48,140 --> 00:14:53,600 Speaker 3: employees of small businesses across Miami-Dade. They were nannies and 278 00:14:53,700 --> 00:14:58,660 Speaker 3: home health care aides and cleaners and gardeners and cooks 279 00:14:59,400 --> 00:15:02,140 Speaker 3: and people who were working in jobs the Anglos in 280 00:15:02,160 --> 00:15:04,950 Speaker 3: Miami don't want to do. And the Cubans in Miami 281 00:15:04,990 --> 00:15:07,410 Speaker 3: don't want to do. And so now they've not only 282 00:15:07,450 --> 00:15:10,550 Speaker 3: blown a hole in these communities where they're reporting people 283 00:15:10,590 --> 00:15:13,810 Speaker 3: who are cousins and uncles and nephews and brothers and sisters, 284 00:15:13,910 --> 00:15:17,210 Speaker 3: all these things. You've also blown a hole in the economy. 285 00:15:18,040 --> 00:15:21,300 Speaker 4: And Miami is a service economy. Right. 286 00:15:21,520 --> 00:15:25,920 Speaker 3: It is a fundamentally service-driven economy. And those folks, especially 287 00:15:26,060 --> 00:15:29,810 Speaker 3: in a weird niche in Miami, South Florida in general, 288 00:15:29,830 --> 00:15:34,470 Speaker 3: but Miami in particular, of Haitian nurses and home health 289 00:15:34,510 --> 00:15:39,260 Speaker 3: care aides, about 50,000 or 60,000 of those people are 290 00:15:39,320 --> 00:15:41,940 Speaker 3: working in the home health care or senior care area. 291 00:15:42,400 --> 00:15:45,780 Speaker 3: And people are like, wait a minute. You're sending back 292 00:15:45,840 --> 00:15:47,700 Speaker 3: the person who takes care of mom or dad or 293 00:15:47,740 --> 00:15:48,700 Speaker 3: grandma or grandpa. 294 00:15:49,250 --> 00:15:50,210 Speaker 4: And it does not scan. 295 00:15:50,620 --> 00:15:52,810 Speaker 3: So Salazar comes out and does this sort of weak, 296 00:15:53,210 --> 00:15:55,970 Speaker 3: sort of like, oh, you're wrong, Donald Trump, but I'll 297 00:15:55,990 --> 00:15:57,610 Speaker 3: still vote for you 100% of the time. 298 00:15:58,690 --> 00:16:00,230 Speaker 4: Okay. That ain't selling. 299 00:16:00,950 --> 00:16:03,190 Speaker 2: And it gets Trump really mad, which is the real 300 00:16:03,230 --> 00:16:05,890 Speaker 2: problem these candidates have, which is- She would have. 301 00:16:05,810 --> 00:16:08,270 Speaker 4: Lost without me, but now she will lose without me. 302 00:16:08,860 --> 00:16:17,380 Speaker 2: Right. Unlike Bush- in 2006 or Biden or Obama or, 303 00:16:17,520 --> 00:16:21,900 Speaker 2: you know, any of those previous presidents, if you turn 304 00:16:21,980 --> 00:16:24,660 Speaker 2: on Donald Trump, he either comes to campaign with you, 305 00:16:24,700 --> 00:16:29,380 Speaker 2: which is worse, or turns MAGA against you, which is worse. 306 00:16:29,500 --> 00:16:32,040 Speaker 2: Like both are losing propositions. 307 00:16:33,360 --> 00:16:36,990 Speaker 3: These people are in a very bad political vice. You know, 308 00:16:37,010 --> 00:16:39,010 Speaker 3: they're squeezed on both ends. If they do the thing 309 00:16:39,030 --> 00:16:42,840 Speaker 3: that will save them politically, he will punish them. If 310 00:16:42,880 --> 00:16:45,020 Speaker 3: they do the thing that makes them happy, the voters 311 00:16:45,040 --> 00:16:50,020 Speaker 3: will punish them. So we're looking at, this is why 312 00:16:50,060 --> 00:16:55,620 Speaker 3: we're looking at 235 seats as a majority. This is 313 00:16:55,640 --> 00:17:00,400 Speaker 3: why we're looking at, and since we last spoke, even 314 00:17:00,480 --> 00:17:02,800 Speaker 3: more of these Republican consultants are out telling people off 315 00:17:02,840 --> 00:17:05,680 Speaker 3: the record, yeah, my client's in an R plus 15 seat, 316 00:17:05,700 --> 00:17:11,550 Speaker 3: so it's a competitive race. And again, there are plenty 317 00:17:11,570 --> 00:17:16,510 Speaker 3: of things. That a rational actor would do to save 318 00:17:16,550 --> 00:17:19,970 Speaker 3: their majority. None of them are happening. And the clock 319 00:17:20,030 --> 00:17:21,550 Speaker 3: is now at one month, essentially. 320 00:17:22,150 --> 00:17:22,870 Speaker 4: One month and two days. 321 00:17:22,890 --> 00:17:25,869 Speaker 3: We're recording this. One month and four days, whatever it is. 322 00:17:27,830 --> 00:17:31,990 Speaker 3: There's a month to go. And it's really hard to 323 00:17:32,030 --> 00:17:35,230 Speaker 3: make a positive externality impact an election a month out. 324 00:17:36,190 --> 00:17:38,719 Speaker 2: I want you to talk about the money because Republicans 325 00:17:38,760 --> 00:17:41,960 Speaker 2: have a lot more money. They have Elon. They have Trump. 326 00:17:42,020 --> 00:17:44,000 Speaker 2: They have this billionaire. They have that. You know, the 327 00:17:44,040 --> 00:17:47,270 Speaker 2: number of Republican billionaires is, you know, they have about 328 00:17:47,270 --> 00:17:52,189 Speaker 2: 20 more. You know, they have huge, stable billionaires. But 329 00:17:52,210 --> 00:17:56,149 Speaker 2: there's a phenomenon that happens when you're losing where money 330 00:17:56,230 --> 00:18:01,920 Speaker 2: dries up, even if your people don't have. So talk 331 00:18:01,960 --> 00:18:03,720 Speaker 2: us through that political phenomenon. 332 00:18:04,250 --> 00:18:06,870 Speaker 3: So even Elon so far, I shouldn't jinx it because 333 00:18:06,930 --> 00:18:10,030 Speaker 3: now he'll hear us and go spend it. Even Elon 334 00:18:10,050 --> 00:18:13,150 Speaker 3: has not splooshed out this massive amount of money everybody expected. 335 00:18:13,869 --> 00:18:18,010 Speaker 3: It's just not there. And while Trump, when he got 336 00:18:18,090 --> 00:18:22,340 Speaker 3: criticism for keeping that $ 450 million, they splashed out about 337 00:18:22,340 --> 00:18:26,180 Speaker 3: 10 of it, but they haven't spent any more. And 338 00:18:26,940 --> 00:18:32,240 Speaker 3: a few of them still are spending. Ken Griffin, Jeff Yass, 339 00:18:32,300 --> 00:18:33,380 Speaker 3: the Oracle dudes. 340 00:18:34,880 --> 00:18:38,690 Speaker 2: The U-Lines in Wisconsin because they want Tom Tiffany. 341 00:18:39,410 --> 00:18:42,710 Speaker 3: There's also, yeah, where they really want Tom Tiffany. That race, 342 00:18:43,030 --> 00:18:45,090 Speaker 3: I do keep an eye on it. It's Wisconsin. You 343 00:18:45,109 --> 00:18:48,890 Speaker 3: can never sleep on Wisconsin. I do think it's important, though, 344 00:18:48,910 --> 00:18:57,409 Speaker 3: to also consider just how much money can do given 345 00:18:57,430 --> 00:19:01,040 Speaker 3: the climate. And I don't know if there's some sort 346 00:19:01,080 --> 00:19:05,980 Speaker 3: of derivative or scalar function there. of money in this environment, 347 00:19:06,420 --> 00:19:10,200 Speaker 3: but I'm seeing a lot of places, Ken Paxton, $ 130 348 00:19:09,920 --> 00:19:12,700 Speaker 3: million spend in the last month and a half in Texas. 349 00:19:13,180 --> 00:19:17,040 Speaker 3: Numbers have gone down. Tallarico's numbers have gone up. Most 350 00:19:17,060 --> 00:19:20,639 Speaker 3: of the 130 they spent against Tallarico was negative. It 351 00:19:20,660 --> 00:19:21,780 Speaker 3: was all trans, trans, trans. 352 00:19:22,140 --> 00:19:22,320 Speaker 2: Right. 353 00:19:23,050 --> 00:19:27,030 Speaker 3: And communist, whatever, vegan, whatever fantasy world they have, right? 354 00:19:27,230 --> 00:19:30,250 Speaker 2: Yeah, vegan. He's very down on him for being a vegan. 355 00:19:30,270 --> 00:19:31,570 Speaker 2: But he's not a vegan, is he? 356 00:19:31,590 --> 00:19:32,170 Speaker 4: He's not. 357 00:19:32,369 --> 00:19:32,889 Speaker 3: He's not a vegan. 358 00:19:33,010 --> 00:19:33,230 Speaker 4: Yeah. 359 00:19:33,390 --> 00:19:36,350 Speaker 3: But the problem is, all the advertising is 30 million. 360 00:19:37,130 --> 00:19:37,350 Speaker 2: Yeah. 361 00:19:38,369 --> 00:19:41,730 Speaker 3: Tallarico's approval rating has gone up. His head-to-head with Paxton 362 00:19:41,750 --> 00:19:45,210 Speaker 3: has gone up. Voter intention to vote for Tallarico has 363 00:19:45,290 --> 00:19:49,080 Speaker 3: gone up. Paxton's approval has gone down. His head-to-head has 364 00:19:49,119 --> 00:19:52,940 Speaker 3: gone down. Voter intention to vote for Paxton has gone down. So, 365 00:19:53,600 --> 00:19:56,680 Speaker 3: and same story as we discussed in Florida with Byron Donalds. 366 00:19:57,119 --> 00:20:02,300 Speaker 3: He spends money, he gets less popular. Can we talk about- 367 00:20:02,560 --> 00:20:05,619 Speaker 3: Attacks don't have the same juice that they would have 368 00:20:05,660 --> 00:20:07,720 Speaker 3: had in a more normal political climate. 369 00:20:09,160 --> 00:20:13,580 Speaker 2: Though, can we talk about the Angela Paxton ad? 370 00:20:14,540 --> 00:20:15,560 Speaker 4: What the hell? 371 00:20:16,160 --> 00:20:19,790 Speaker 2: Okay, so Angela Paxton looks like a hostage. In it, 372 00:20:19,850 --> 00:20:25,090 Speaker 2: she says, we have to vote for the Republicans. I mean, what? 373 00:20:25,150 --> 00:20:26,670 Speaker 2: She doesn't mention his name. 374 00:20:26,690 --> 00:20:29,590 Speaker 4: He's going to vote for him on biblical grounds, Molly. 375 00:20:29,630 --> 00:20:30,230 Speaker 4: That's the only answer. 376 00:20:31,300 --> 00:20:33,580 Speaker 2: How do you even get divorced on biblical grounds? Anyway, 377 00:20:33,740 --> 00:20:34,360 Speaker 2: Rick Wilson. 378 00:20:35,060 --> 00:20:37,820 Speaker 4: Molly John Fast. Can I come back? No. 379 00:20:37,880 --> 00:20:38,040 Speaker 2: No. 380 00:20:43,050 --> 00:20:47,180 Speaker 5: Somali listeners probably noticed the show is in a different order. 381 00:20:47,460 --> 00:20:50,660 Speaker 5: We are changing things up since we are now doing 382 00:20:50,700 --> 00:20:55,700 Speaker 5: a lot more video. And yeah, really excited about this. 383 00:20:57,020 --> 00:20:59,959 Speaker 5: You know what I'm also excited about? How stupid the 384 00:21:00,000 --> 00:21:03,310 Speaker 5: GOP's plan to win the midterms is coming from Chris Ruffo, 385 00:21:03,330 --> 00:21:06,649 Speaker 5: who you may remember from DEI and CRT panics. 386 00:21:07,630 --> 00:21:10,530 Speaker 2: So first of all, excited about the new format. Please 387 00:21:11,990 --> 00:21:15,720 Speaker 2: like and subscribe and enjoy my dog on my lap. 388 00:21:17,200 --> 00:21:21,939 Speaker 2: Christopher Rufo, known for DEI and CRT. So this is 389 00:21:22,140 --> 00:21:27,510 Speaker 2: this guy is like basically the brain child of the admin. 390 00:21:27,630 --> 00:21:29,490 Speaker 2: He is the person who comes up with some of 391 00:21:29,550 --> 00:21:30,470 Speaker 2: their worst ideas. 392 00:21:31,390 --> 00:21:34,690 Speaker 6: Particularly, thank you, Ron DeSantis for this guy. 393 00:21:34,770 --> 00:21:38,780 Speaker 2: Right. So he is the sort of brain behind, and 394 00:21:38,840 --> 00:21:41,600 Speaker 2: I use brain in quotes. So he came up with DEI, 395 00:21:41,660 --> 00:21:46,679 Speaker 2: which was this idea that law schools taught this high 396 00:21:46,780 --> 00:21:51,200 Speaker 2: level way to not be discriminatory. Well, now, and that 397 00:21:51,240 --> 00:21:55,619 Speaker 2: was the biggest danger was doing, you know, was not 398 00:21:55,700 --> 00:21:58,660 Speaker 2: discriminating against people. That was the biggest danger. And CRT 399 00:21:58,680 --> 00:22:02,570 Speaker 2: was And now these are these panics, these ways in 400 00:22:02,609 --> 00:22:07,989 Speaker 2: which Republicans tell other Republicans that they that libs are 401 00:22:08,030 --> 00:22:12,180 Speaker 2: taking stuff away from them. So now Ruffo, who has 402 00:22:12,260 --> 00:22:15,359 Speaker 2: become sort of has gone from like the very dark 403 00:22:15,480 --> 00:22:23,210 Speaker 2: corners of the Internet to being respectable. Well, he's a 404 00:22:23,270 --> 00:22:26,170 Speaker 2: senior member of the Manhattan Institute, which is a real 405 00:22:26,210 --> 00:22:29,669 Speaker 2: think tank. And he's been on Ezra's podcast, which is 406 00:22:29,710 --> 00:22:33,149 Speaker 2: a real podcast. So he has really, you know, and 407 00:22:33,170 --> 00:22:35,929 Speaker 2: he has huge number of subscribers on Substract. You know, 408 00:22:35,970 --> 00:22:39,430 Speaker 2: this guy is basically as fancy as it gets for 409 00:22:40,230 --> 00:22:46,390 Speaker 2: the for people who espouse him. really problematic, really discriminatory views. 410 00:22:46,850 --> 00:22:50,230 Speaker 2: And so he's no longer against critical race theory. Well, 411 00:22:50,250 --> 00:22:52,790 Speaker 2: he is, but he's no longer focused on critical race 412 00:22:52,810 --> 00:22:56,270 Speaker 2: theory and DEI. He has changed his focus. And now 413 00:22:56,330 --> 00:22:59,530 Speaker 2: he's focused to the fact that, and I swear to God, 414 00:22:59,550 --> 00:23:04,030 Speaker 2: I'm going to say this and, uh, As I say it, 415 00:23:04,290 --> 00:23:08,750 Speaker 2: I understand as a Jew what he's doing because it's 416 00:23:09,070 --> 00:23:12,389 Speaker 2: absolutely this is what they did to the Jews and 417 00:23:12,450 --> 00:23:14,340 Speaker 2: now they're doing it to the Indians. 418 00:23:14,780 --> 00:23:16,780 Speaker 5: I mean, to be honest with you, we can't even 419 00:23:16,800 --> 00:23:18,520 Speaker 5: say past tense. Right now, one of the most popular 420 00:23:18,540 --> 00:23:22,040 Speaker 5: things right wing people tweet on Elon Musk's Nazi platform 421 00:23:22,160 --> 00:23:23,500 Speaker 5: is the Jewish question. 422 00:23:23,560 --> 00:23:23,800 Speaker 1: Right. 423 00:23:23,900 --> 00:23:27,180 Speaker 2: And this is now the Indian question. And so what 424 00:23:27,260 --> 00:23:32,240 Speaker 2: this is, is a way in which and again. This 425 00:23:32,940 --> 00:23:38,010 Speaker 2: comes from a viral racist post by Beau French. Beau 426 00:23:38,090 --> 00:23:42,649 Speaker 2: French is a statewide candidate in Texas. OK, he's the 427 00:23:42,750 --> 00:23:48,000 Speaker 2: GOP candidate for Texas Railroad Commissioner. Now, Texas Railroad Commissioner 428 00:23:48,080 --> 00:23:52,360 Speaker 2: is like Florida's ag chair. It's a real position with 429 00:23:52,480 --> 00:23:57,730 Speaker 2: real people. responsibilities. And Beau French is running for it. 430 00:23:58,150 --> 00:24:03,629 Speaker 2: And he is famous for seeing a post from UT 431 00:24:03,770 --> 00:24:07,210 Speaker 2: graduation and seeing a lot of Indian people in it 432 00:24:07,380 --> 00:24:11,740 Speaker 2: and being furious, basically. He's furious that Indian people got 433 00:24:11,780 --> 00:24:16,200 Speaker 2: to go to UT graduation because just like with Jews 434 00:24:16,220 --> 00:24:22,810 Speaker 2: and these people are mad at academic achievement. And so 435 00:24:22,869 --> 00:24:28,090 Speaker 2: they're mad at these Indian college students because they went 436 00:24:28,130 --> 00:24:31,690 Speaker 2: to college and did well there. And that is exactly 437 00:24:31,750 --> 00:24:37,889 Speaker 2: the same as what we're seeing with these... You know, 438 00:24:37,930 --> 00:24:41,960 Speaker 2: these are right-wing extremists who are looking for someone to scapegoat. 439 00:24:42,460 --> 00:24:47,669 Speaker 2: And they are now have... have focused on Indians. And again, 440 00:24:48,109 --> 00:24:50,890 Speaker 2: like why I think this is so interesting in this 441 00:24:50,970 --> 00:24:54,889 Speaker 2: moment is that Donald Trump was really elected with the 442 00:24:54,990 --> 00:25:00,520 Speaker 2: closest thing to a multiracial coalition of people who were 443 00:25:01,960 --> 00:25:05,859 Speaker 2: who were signing off on racist things like deportation. And 444 00:25:06,830 --> 00:25:12,880 Speaker 2: And so this crew, this multiracial coalition, is now laser 445 00:25:12,910 --> 00:25:19,280 Speaker 2: focused on the Indian question. And that is really, really 446 00:25:20,060 --> 00:25:23,020 Speaker 2: not good and shows that we're in a lot of trouble. 447 00:25:23,960 --> 00:25:26,000 Speaker 6: Yeah, I'm sure this is going to go great for 448 00:25:26,020 --> 00:25:28,889 Speaker 6: them in the midterms. Just absolutely great. Well, let's hope 449 00:25:28,990 --> 00:25:32,070 Speaker 6: it doesn't. Yeah, no, I don't think it's going to. 450 00:25:32,290 --> 00:25:32,530 Speaker 1: Yeah. 451 00:25:33,940 --> 00:25:37,350 Speaker 6: So speaking of the midterms, we have some a whole 452 00:25:37,490 --> 00:25:40,750 Speaker 6: handful of new reports that the GOP are saving the 453 00:25:40,810 --> 00:25:44,090 Speaker 6: unpopular stuff for after the election during the lame duck period. 454 00:25:44,190 --> 00:25:46,070 Speaker 2: I mean, this is like file this under things we 455 00:25:46,109 --> 00:25:49,530 Speaker 2: thought might be happening, but didn't weren't totally sure. But 456 00:25:51,470 --> 00:25:54,050 Speaker 2: this is a quiet word. This is reporting of a 457 00:25:54,090 --> 00:25:58,210 Speaker 2: quiet word from the White House to the Justice Department 458 00:25:58,330 --> 00:26:01,130 Speaker 2: coming from the Washington Sun. The Washington Sun is this 459 00:26:01,170 --> 00:26:04,189 Speaker 2: newspaper that. That where all the people who were in 460 00:26:04,210 --> 00:26:07,410 Speaker 2: The Washington Post who got fired by Jeff Bezos because 461 00:26:07,450 --> 00:26:11,550 Speaker 2: Jeff Bezos is trying to get regulatory capture from Donald Trump, 462 00:26:13,040 --> 00:26:16,060 Speaker 2: they all went to The Washington Sun. The Washington Sun 463 00:26:16,119 --> 00:26:20,600 Speaker 2: has this reporting. Attorney General Todd Boyer has moved slowly 464 00:26:20,780 --> 00:26:25,700 Speaker 2: on abortion pill litigation. And you know why? Because he 465 00:26:25,800 --> 00:26:28,440 Speaker 2: says that we need to wait until after the midterms. 466 00:26:29,240 --> 00:26:35,200 Speaker 2: That's because they know it's unpopular. Imagine how unpopular these 467 00:26:35,260 --> 00:26:38,380 Speaker 2: things must be for them to like they must have 468 00:26:38,420 --> 00:26:41,129 Speaker 2: polls that show this stuff is really bad because they're 469 00:26:41,250 --> 00:26:45,070 Speaker 2: already doing so much unpopular stuff. So here are the 470 00:26:45,109 --> 00:26:47,669 Speaker 2: things they're not going to do until after the midterms. 471 00:26:48,470 --> 00:26:51,609 Speaker 2: One is go after abortion pills. We know that's coming. 472 00:26:52,030 --> 00:26:55,750 Speaker 2: The other, and that's all the abortion related stuff. That's 473 00:26:55,850 --> 00:26:57,810 Speaker 2: like we're going to see a lot more of that stuff, 474 00:26:57,990 --> 00:27:02,500 Speaker 2: them prosecuting doctors and them trying to take the pills 475 00:27:02,580 --> 00:27:05,920 Speaker 2: off the market, et cetera, et cetera. But then we're 476 00:27:05,980 --> 00:27:09,660 Speaker 2: also probably going to see some other really scary stuff, 477 00:27:09,820 --> 00:27:14,119 Speaker 2: and that's Either just blowing up Iran, where there are 478 00:27:14,119 --> 00:27:17,820 Speaker 2: 80 million people, which would be really, really bad. I 479 00:27:17,859 --> 00:27:21,980 Speaker 2: don't know what that looks like. Probably war crimes. Or 480 00:27:22,140 --> 00:27:28,390 Speaker 2: surrendering to Iran, also probably pretty bad. And that is 481 00:27:28,550 --> 00:27:31,850 Speaker 2: so either we'll go into a ground war, which could 482 00:27:31,890 --> 00:27:35,210 Speaker 2: be catastrophic. Nobody wants it. Doesn't even make any sense. 483 00:27:36,030 --> 00:27:40,430 Speaker 2: Or we'll have some kind of surrender situation, which would 484 00:27:40,490 --> 00:27:46,940 Speaker 2: also be probably catastrophic. The other possibility is throwing more 485 00:27:47,040 --> 00:27:51,260 Speaker 2: money that we don't have at the Pentagon because the 486 00:27:51,300 --> 00:27:54,600 Speaker 2: Pentagon wants more money. And Pete Hegg says, or as 487 00:27:54,619 --> 00:27:58,550 Speaker 2: we call him at this podcast, Whiskey Pete says, just 488 00:27:58,630 --> 00:28:02,830 Speaker 2: needs more cash we are having a munition shortage and 489 00:28:03,030 --> 00:28:07,820 Speaker 2: also whiskey p laser focused on waste measurements and testosterone 490 00:28:07,859 --> 00:28:09,440 Speaker 2: testing yeah. 491 00:28:09,359 --> 00:28:13,540 Speaker 5: And also we can't forget that they're considering uh going 492 00:28:13,560 --> 00:28:16,560 Speaker 5: in after voting rights and cutting the social safety net 493 00:28:16,619 --> 00:28:20,320 Speaker 5: even more um there's all sorts of horrible horrible things 494 00:28:20,359 --> 00:28:21,920 Speaker 5: in here that they think they can get done but 495 00:28:22,160 --> 00:28:24,820 Speaker 5: i question if um The guy who's so good at 496 00:28:24,840 --> 00:28:27,270 Speaker 5: his job, Speaker Mike Johnson, could get any of this 497 00:28:27,400 --> 00:28:27,930 Speaker 5: really done. 498 00:28:28,290 --> 00:28:28,929 Speaker 1: I mean, just. 499 00:28:28,810 --> 00:28:32,450 Speaker 2: Remember that Speaker Mike Johnson sent everyone home. Why? Because 500 00:28:32,490 --> 00:28:35,930 Speaker 2: they wanted to impeach Whiskey Pete. 501 00:28:36,609 --> 00:28:37,649 Speaker 6: Yep. 502 00:28:38,050 --> 00:28:40,800 Speaker 5: Somali, we have a new character in the White House. 503 00:28:41,970 --> 00:28:45,680 Speaker 5: She's a real character. Her name is Benny Ray Harmony. 504 00:28:46,160 --> 00:28:48,920 Speaker 2: You know she's good because she misspells all of the 505 00:28:48,980 --> 00:28:50,660 Speaker 2: many parts of her name. 506 00:28:51,870 --> 00:28:53,570 Speaker 6: Well, two of three at least, yes. 507 00:28:53,690 --> 00:28:57,870 Speaker 2: And she is 24. I'm surprised it's not Harmony with, like, 508 00:28:57,910 --> 00:28:59,400 Speaker 2: multiple E's instead of Y. 509 00:29:00,050 --> 00:29:01,150 Speaker 6: Or what about a Hermite? 510 00:29:02,110 --> 00:29:05,570 Speaker 2: So she has worked for Real America's Voice and Charlie 511 00:29:05,610 --> 00:29:10,080 Speaker 2: Kirk's Turning Point USA. She is the new assistant press secretary. 512 00:29:10,100 --> 00:29:15,140 Speaker 2: She once— posed for a photo with a rifle while 513 00:29:15,180 --> 00:29:20,040 Speaker 2: wearing a F-star Joe Biden T-shirt. She was a fan 514 00:29:20,120 --> 00:29:25,210 Speaker 2: of Charlie Kirk. She's 24 years old, and she is 515 00:29:26,030 --> 00:29:27,370 Speaker 2: now working in the White House. 516 00:29:28,210 --> 00:29:31,610 Speaker 5: Yeah, and this is because of the absence of everyone's fave, 517 00:29:32,150 --> 00:29:35,790 Speaker 5: Caroline Leavitt, since they cannot figure out who will take 518 00:29:35,910 --> 00:29:37,310 Speaker 5: her inimitable place. 519 00:29:37,330 --> 00:29:39,950 Speaker 3: It's good. 520 00:29:40,020 --> 00:29:42,820 Speaker 2: To be Scott Jennings. I'm a little disappointed that it's 521 00:29:42,860 --> 00:29:46,020 Speaker 2: not Scott Jennings. You know Scott Jennings has been like 522 00:29:46,100 --> 00:29:48,920 Speaker 2: waiting for that phone call. 523 00:29:48,940 --> 00:29:52,459 Speaker 5: I doubt in between rage sessions where he yells at 524 00:29:52,480 --> 00:29:56,620 Speaker 5: 20-year-olds on CNN that he's not just sitting there watching 525 00:29:56,640 --> 00:29:59,090 Speaker 5: the cell phone looking for a orange face to pop 526 00:29:59,150 --> 00:29:59,710 Speaker 5: up on the phone. 527 00:30:00,020 --> 00:30:01,280 Speaker 2: Yeah, I don't think. 528 00:30:01,860 --> 00:30:02,180 Speaker 1: Yeah. 529 00:30:02,400 --> 00:30:05,920 Speaker 2: I mean, like, it's funny because Byron Donald's in this 530 00:30:05,940 --> 00:30:10,050 Speaker 2: Wall Street Journal piece. Byron Donald's has a special ringtone 531 00:30:10,090 --> 00:30:12,290 Speaker 2: for Trump. I wonder how many people have a special 532 00:30:12,630 --> 00:30:13,550 Speaker 2: Trump ringtone. 533 00:30:14,470 --> 00:30:17,450 Speaker 5: I forgot about the concept of doing it. What song 534 00:30:17,490 --> 00:30:20,130 Speaker 5: do you think plays for Trump when he calls for 535 00:30:20,170 --> 00:30:20,650 Speaker 5: these people? 536 00:30:20,910 --> 00:30:21,570 Speaker 6: Is it YMCA? 537 00:30:21,730 --> 00:30:24,430 Speaker 2: It's got to be YMCA or Phantom of the Opera. 538 00:30:25,390 --> 00:30:26,430 Speaker 6: Oh, yeah. 539 00:30:26,570 --> 00:30:27,310 Speaker 1: Or Cats. 540 00:30:28,150 --> 00:30:29,750 Speaker 6: What would you make his ringtone? 541 00:30:31,500 --> 00:30:33,960 Speaker 2: I don't know how to do ringtones. My phone is 542 00:30:34,030 --> 00:30:36,870 Speaker 2: silent forever and ever, which is why if you call me, 543 00:30:36,910 --> 00:30:37,710 Speaker 2: I'll never pick up. 544 00:30:38,470 --> 00:30:41,270 Speaker 5: I probably would get up just saying China over and 545 00:30:41,310 --> 00:30:45,170 Speaker 5: over again. So, Molly, we have one more terrible character 546 00:30:45,210 --> 00:30:48,050 Speaker 5: to talk about in this episode of Terrible Characters. Benny 547 00:30:48,090 --> 00:30:53,930 Speaker 5: Johnson is being sued by some ICE protesters for him 548 00:30:54,410 --> 00:30:55,850 Speaker 5: calling them left-wing terrorists. 549 00:30:56,210 --> 00:31:03,630 Speaker 2: It's so interesting because... there has been so much of 550 00:31:03,710 --> 00:31:05,950 Speaker 2: this kind of thing. You know, I'm thinking about, like, 551 00:31:06,470 --> 00:31:09,900 Speaker 2: this week, Renee Goode, the family of Renee Goode, has 552 00:31:10,060 --> 00:31:15,860 Speaker 2: sued multiple members of the Trump administration over the way 553 00:31:15,960 --> 00:31:20,180 Speaker 2: that they painted her, the way they maligned her after 554 00:31:20,380 --> 00:31:24,410 Speaker 2: she was murdered. And it's just interesting to see that 555 00:31:24,430 --> 00:31:28,600 Speaker 2: there's some accountability here. Like, we've spent... And again... I 556 00:31:28,640 --> 00:31:31,060 Speaker 2: don't know that this will go anywhere. I mean, there's 557 00:31:31,140 --> 00:31:35,080 Speaker 2: the the the First Amendment has a pretty high bar, unfortunately, 558 00:31:35,120 --> 00:31:39,469 Speaker 2: for Trump world. But it is, you know, unless you 559 00:31:39,510 --> 00:31:43,390 Speaker 2: can show damages, it's really important that we protect free speech, 560 00:31:43,570 --> 00:31:45,910 Speaker 2: no matter even if the speech we don't like the 561 00:31:45,950 --> 00:31:49,230 Speaker 2: speech or something like that. But it's interesting to me, 562 00:31:49,250 --> 00:31:52,460 Speaker 2: there is really like we are going to see so 563 00:31:52,520 --> 00:31:56,820 Speaker 2: many civil cases About, you know, about so much of 564 00:31:56,900 --> 00:31:59,920 Speaker 2: what's happened in the last two years. And and like 565 00:31:59,980 --> 00:32:02,160 Speaker 2: Renee Good, this Renee Good case is a really good 566 00:32:02,200 --> 00:32:04,040 Speaker 2: example of that. Like, we're going to see a lot 567 00:32:04,080 --> 00:32:06,820 Speaker 2: more of this accountability. And even if like Trump is 568 00:32:06,860 --> 00:32:09,680 Speaker 2: very hot to pardon people and even if there are pardons. 569 00:32:10,690 --> 00:32:13,730 Speaker 2: At the federal level, we'll see crimes at the state level, 570 00:32:13,750 --> 00:32:16,410 Speaker 2: but we'll also see like these civil cases and like 571 00:32:16,880 --> 00:32:19,640 Speaker 2: Donald Trump is doing a lot of stuff where maybe 572 00:32:19,720 --> 00:32:22,940 Speaker 2: he's not criminally liable because of the power of the 573 00:32:23,000 --> 00:32:27,330 Speaker 2: presidency and because of the Supreme Court Supreme Court's like 574 00:32:27,530 --> 00:32:30,820 Speaker 2: decision to make him an imperial president. But there will 575 00:32:30,920 --> 00:32:34,930 Speaker 2: be accountability for these administrations because like we're a country 576 00:32:34,970 --> 00:32:37,590 Speaker 2: with a rule of law and checks and balances, which 577 00:32:37,610 --> 00:32:40,930 Speaker 2: has maybe I mean, again, I don't know what happens. 578 00:32:41,390 --> 00:32:43,740 Speaker 2: I think Democrats will win the midterms and I think 579 00:32:43,780 --> 00:32:46,520 Speaker 2: the midterms will be free and fair. But I do 580 00:32:46,600 --> 00:32:50,440 Speaker 2: think we're going to there's going to be real questions about. 581 00:32:50,920 --> 00:32:54,640 Speaker 2: what comes next when it comes to straightening all of 582 00:32:54,700 --> 00:32:57,460 Speaker 2: this out. And there's going to be a lot of 583 00:32:57,560 --> 00:33:02,710 Speaker 2: hearings and a lot of depositions and a lot of 584 00:33:03,510 --> 00:33:06,130 Speaker 2: charges and civil cases. I mean, we're going to have, 585 00:33:06,150 --> 00:33:09,590 Speaker 2: this is going to make, I mean, this is what 586 00:33:09,610 --> 00:33:13,440 Speaker 2: the American people want. It's going to make Watergate look like, 587 00:33:14,900 --> 00:33:15,700 Speaker 2: you know, nothing. 588 00:33:16,660 --> 00:33:18,370 Speaker 5: Yeah, I think one of the other things to keep 589 00:33:18,410 --> 00:33:21,650 Speaker 5: in mind here is Benny Johnson threatens to sue people 590 00:33:21,710 --> 00:33:24,010 Speaker 5: constantly and then doesn't go through with it. And many 591 00:33:24,030 --> 00:33:27,290 Speaker 5: people speculate that's because he has to hide something that 592 00:33:27,550 --> 00:33:29,930 Speaker 5: many people talk about very publicly about him that I'm 593 00:33:30,000 --> 00:33:30,620 Speaker 5: not going to say. 594 00:33:33,060 --> 00:33:36,260 Speaker 2: I mean, I think one of the worst things about 595 00:33:36,320 --> 00:33:39,780 Speaker 2: this period in American life is that we've elevated people 596 00:33:39,800 --> 00:33:44,490 Speaker 2: who are not really... relevant to the discourse. And so 597 00:33:44,510 --> 00:33:46,990 Speaker 2: I would file him under that. 598 00:33:47,610 --> 00:33:48,010 Speaker 4: Yeah. 599 00:33:48,090 --> 00:33:48,830 Speaker 6: Or responsible. 600 00:33:48,850 --> 00:33:51,470 Speaker 5: You know, you and I constantly make sure to not 601 00:33:51,530 --> 00:33:54,710 Speaker 5: say many things like what he says about people because 602 00:33:54,750 --> 00:33:55,850 Speaker 5: we fear this happening. 603 00:33:56,450 --> 00:33:59,830 Speaker 2: We don't do we I mean, I don't I can't 604 00:33:59,890 --> 00:34:02,190 Speaker 2: even get involved in the Benny Johnson discourse. But I 605 00:34:02,250 --> 00:34:06,950 Speaker 2: do think that, you know, there is going to be 606 00:34:06,990 --> 00:34:09,790 Speaker 2: a larger accountability, which I think is important for people 607 00:34:09,830 --> 00:34:15,190 Speaker 2: to remember. Bhaskar Sankara is the founder of Jacobin, the 608 00:34:15,250 --> 00:34:19,540 Speaker 2: president of The Nation, and the co-author of The Blueprint, 609 00:34:19,640 --> 00:34:24,100 Speaker 2: How Socialism Can Work in the Real World. Welcome, welcome 610 00:34:24,140 --> 00:34:25,339 Speaker 2: to Fast Politics. 611 00:34:25,760 --> 00:34:26,620 Speaker 1: Thanks for having me, Molly. 612 00:34:27,100 --> 00:34:31,700 Speaker 2: Let's talk about socialism, shall we? How can it work? 613 00:34:32,380 --> 00:34:34,880 Speaker 7: Well, I think that we have to start with saying 614 00:34:34,900 --> 00:34:39,640 Speaker 7: that socialism in various forms have actually been tried in 615 00:34:39,680 --> 00:34:41,840 Speaker 7: the sense that I think a lot of democratic socialists 616 00:34:41,860 --> 00:34:45,819 Speaker 7: like myself like to do the no true Scotsman sort 617 00:34:45,840 --> 00:34:48,649 Speaker 7: of argument and say that, no, no one has really 618 00:34:48,690 --> 00:34:51,410 Speaker 7: had this idea. They were all imposters just pretending to 619 00:34:51,430 --> 00:34:56,609 Speaker 7: be socialists. So socialism was tried, of course, in Soviet-style systems, 620 00:34:56,840 --> 00:34:58,360 Speaker 7: and that ended really poorly. 621 00:34:59,270 --> 00:34:59,830 Speaker 1: Not good. 622 00:34:59,910 --> 00:35:02,029 Speaker 7: I would say, to the credit of those systems, that 623 00:35:02,050 --> 00:35:05,089 Speaker 7: if you're living in a peasant country and you want 624 00:35:05,110 --> 00:35:09,049 Speaker 7: to very quickly build an education system, a system of 625 00:35:09,090 --> 00:35:13,989 Speaker 7: higher education, a healthcare system, and T-34 tanks, then there's 626 00:35:14,010 --> 00:35:15,290 Speaker 7: something to command economies. 627 00:35:15,330 --> 00:35:16,170 Speaker 1: But it's utterly. 628 00:35:17,090 --> 00:35:21,430 Speaker 7: irrelevant to our times and led to obviously terrific authoritarianism 629 00:35:21,469 --> 00:35:25,529 Speaker 7: and other problems. But socialism was also tried in the 630 00:35:25,570 --> 00:35:30,140 Speaker 7: Nordic countries where parties that came from Marxist roots, that 631 00:35:30,380 --> 00:35:35,719 Speaker 7: called themselves socialists, ended up just administrating capitalism, but doing 632 00:35:35,780 --> 00:35:38,100 Speaker 7: so in a way that really empowered workers and guaranteed 633 00:35:38,140 --> 00:35:40,279 Speaker 7: social rights and things like that. So in my book, 634 00:35:40,320 --> 00:35:42,940 Speaker 7: I try to, you know, the socialist manifesto really get 635 00:35:43,040 --> 00:35:46,839 Speaker 7: into like some of these past experiments and say that 636 00:35:47,940 --> 00:35:50,379 Speaker 7: there is a model of socialism that combines the best 637 00:35:50,420 --> 00:35:53,480 Speaker 7: of the Nordic system with also the real world experiences 638 00:35:53,560 --> 00:35:57,500 Speaker 7: of worker cooperatives that I think would be much better 639 00:35:57,540 --> 00:36:00,780 Speaker 7: than capitalism and wouldn't be that scary of a prospect 640 00:36:00,800 --> 00:36:04,690 Speaker 7: for those of us who rightly care about our democracy 641 00:36:04,870 --> 00:36:06,610 Speaker 7: and the freedoms we do enjoy today. 642 00:36:07,590 --> 00:36:13,200 Speaker 2: I think that is for sure the kind of really, 643 00:36:13,219 --> 00:36:15,820 Speaker 2: I mean, it's hard to look at those Nordic countries 644 00:36:15,880 --> 00:36:19,480 Speaker 2: and not think that those people are, you know, you 645 00:36:19,500 --> 00:36:23,489 Speaker 2: can get sick, you don't get bankrupt, you can have kids, 646 00:36:23,610 --> 00:36:27,870 Speaker 2: you can send them to school, have a lot. I mean, 647 00:36:28,390 --> 00:36:33,150 Speaker 2: the argument against it that I've heard is that people 648 00:36:33,170 --> 00:36:36,310 Speaker 2: sort of say, well, they're just so different because they're 649 00:36:36,350 --> 00:36:37,530 Speaker 2: so homogenous. 650 00:36:38,430 --> 00:36:38,710 Speaker 4: Yeah. 651 00:36:39,070 --> 00:36:43,069 Speaker 7: I mean, I think that for one thing, These societies 652 00:36:43,350 --> 00:36:45,830 Speaker 7: that exist today in the Nordic countries, and especially at 653 00:36:45,870 --> 00:36:48,910 Speaker 7: their peak social democratic period in the 60s and 70s 654 00:36:48,930 --> 00:36:53,000 Speaker 7: and 80s, were really created because of social democracy. So 655 00:36:53,100 --> 00:36:57,440 Speaker 7: it often becomes a chicken or the egg question. Like 656 00:36:57,500 --> 00:37:00,920 Speaker 7: in the 1920s, Sweden was considered one of the most 657 00:37:01,000 --> 00:37:05,520 Speaker 7: violent and unequal places in Europe. They didn't even really 658 00:37:05,580 --> 00:37:12,379 Speaker 7: have universal suffrage, universal male suffrage until the 1920s. And 659 00:37:12,400 --> 00:37:14,640 Speaker 7: there was a massive workers' movement that was really pissed 660 00:37:14,700 --> 00:37:16,320 Speaker 7: off about that and a million other things. 661 00:37:16,800 --> 00:37:19,500 Speaker 1: They would engage in really violent strikes. 662 00:37:20,040 --> 00:37:24,040 Speaker 7: And it was not the sort of harmonious vision that 663 00:37:24,060 --> 00:37:27,320 Speaker 7: we have now of some of these states. In Finland, 664 00:37:27,580 --> 00:37:31,060 Speaker 7: you had a country that fought an actual civil war 665 00:37:31,520 --> 00:37:35,529 Speaker 7: in the 1910s. It was extremely unstable. It was a 666 00:37:35,570 --> 00:37:38,410 Speaker 7: country that does have a large linguistic divide that was 667 00:37:38,450 --> 00:37:43,240 Speaker 7: especially prominent back then between Finnish speakers and Swedish speakers, 668 00:37:43,620 --> 00:37:48,340 Speaker 7: languages that are like actually not related, you know, remotely 669 00:37:49,440 --> 00:37:53,959 Speaker 7: at all. So by comparison, I actually do think that 670 00:37:54,239 --> 00:38:00,279 Speaker 7: there is a very consistently like American culture for both 671 00:38:00,300 --> 00:38:04,260 Speaker 7: the good and bad. We take immigrants within five years, 672 00:38:04,340 --> 00:38:07,990 Speaker 7: they're all taking out like car loans and Ford F-150s. Like, 673 00:38:09,310 --> 00:38:12,190 Speaker 7: the idea that we live in a society with not 674 00:38:12,250 --> 00:38:16,530 Speaker 7: a lot of commonality or social trust is totally wrong. 675 00:38:16,570 --> 00:38:18,590 Speaker 7: And even in parts of the country or in areas 676 00:38:18,640 --> 00:38:20,980 Speaker 7: where there's still, you could say there's lots of persistent 677 00:38:21,020 --> 00:38:25,380 Speaker 7: racism in this country. But the level of like social 678 00:38:25,520 --> 00:38:28,700 Speaker 7: integration that you have today in like the American South 679 00:38:28,739 --> 00:38:34,859 Speaker 7: between black Americans and white people are very much like 680 00:38:34,960 --> 00:38:38,350 Speaker 7: radically different than what it was even, you know, 30, 681 00:38:38,350 --> 00:38:41,930 Speaker 7: 40 years ago. So I think sometimes people are overstating 682 00:38:42,239 --> 00:38:46,969 Speaker 7: to what extent Americans like have shown a unwillingness to 683 00:38:47,050 --> 00:38:50,690 Speaker 7: unite around, you know, their politics. 684 00:38:51,610 --> 00:38:56,060 Speaker 2: So let's talk about... Our mayor. This has been the 685 00:38:56,140 --> 00:38:59,219 Speaker 2: clearest example in my mind of like someone who has 686 00:38:59,260 --> 00:39:02,910 Speaker 2: gotten in there and been like, here's some democratic socialist 687 00:39:03,910 --> 00:39:06,910 Speaker 2: programs that I would like to enact and sort of 688 00:39:07,010 --> 00:39:11,020 Speaker 2: been able to transmit pretty well. what they are. I 689 00:39:12,280 --> 00:39:15,460 Speaker 2: know you have a relationship with the mayor. Can you 690 00:39:15,520 --> 00:39:17,950 Speaker 2: talk us through sort of what the thinking there was? 691 00:39:18,010 --> 00:39:21,710 Speaker 2: Because like, for example, Bill de Blasio, who really no 692 00:39:21,830 --> 00:39:25,629 Speaker 2: one liked, did do some of these programs, you know, 693 00:39:25,670 --> 00:39:28,669 Speaker 2: did try to make forays into these programs, but was 694 00:39:28,870 --> 00:39:31,930 Speaker 2: unable to message that. in the sort of way that made, 695 00:39:32,300 --> 00:39:35,620 Speaker 2: that I think sort of threaded the needle between these 696 00:39:35,700 --> 00:39:37,719 Speaker 2: new ideas and the programs. 697 00:39:38,540 --> 00:39:40,300 Speaker 7: Yeah, I mean, I was one of the few Bill 698 00:39:40,360 --> 00:39:43,200 Speaker 7: de Blasio apologists, and it was very tough, you know? 699 00:39:43,500 --> 00:39:44,799 Speaker 1: It was almost like he would. 700 00:39:47,710 --> 00:39:50,930 Speaker 1: Whatever. We shouldn't talk about Bill. He's an enigma. 701 00:39:51,610 --> 00:39:54,640 Speaker 2: I have been on television with him pretty recently and 702 00:39:54,930 --> 00:39:58,580 Speaker 2: and enjoyed the experience, even though he is too tall. 703 00:39:59,000 --> 00:40:01,940 Speaker 2: But you do look back on that mayoral ship and 704 00:40:02,060 --> 00:40:05,819 Speaker 2: see a person who really was unable to connect with 705 00:40:05,840 --> 00:40:09,259 Speaker 2: the voting base, despite doing a lot of the popular things. 706 00:40:09,700 --> 00:40:10,339 Speaker 1: Programs. 707 00:40:10,580 --> 00:40:13,060 Speaker 7: But that, you know, it would have done even more 708 00:40:13,260 --> 00:40:15,779 Speaker 7: if like, it turned out that Eliot Spitzer wasn't such 709 00:40:15,900 --> 00:40:20,020 Speaker 7: a creep. And we had Eliot Spitzer de Blasio partnership 710 00:40:20,060 --> 00:40:24,260 Speaker 7: might have gotten us social democracy in in New York state. 711 00:40:24,280 --> 00:40:27,330 Speaker 7: But yeah, I obviously the expansion of universal, you know, 712 00:40:27,390 --> 00:40:30,090 Speaker 7: pre K was really the biggest one of the biggest 713 00:40:30,110 --> 00:40:33,950 Speaker 7: just advances in the American welfare state and in modern 714 00:40:34,190 --> 00:40:37,459 Speaker 7: modern history. So he at least gets credit for that 715 00:40:37,500 --> 00:40:43,279 Speaker 7: and also for battling with Cuomo, you know, early on. 716 00:40:43,540 --> 00:40:46,320 Speaker 7: But with Zoran, I mean, initially when he was running, 717 00:40:47,580 --> 00:40:50,480 Speaker 7: my thinking was, hey, why not? Let's have a socialist run. 718 00:40:50,500 --> 00:40:54,970 Speaker 7: Zoran's super charismatic. People will like him. maybe he'll pull 5%, 10%, 719 00:40:54,969 --> 00:40:57,609 Speaker 7: which is, by the way, it sounds like pessimistic now, 720 00:40:57,650 --> 00:40:59,150 Speaker 7: but I think it was more on the bullish side 721 00:40:59,390 --> 00:40:59,990 Speaker 7: than most people. 722 00:41:00,010 --> 00:41:03,460 Speaker 2: He was pulling 1%. When you said, when you probably 723 00:41:03,500 --> 00:41:05,799 Speaker 2: had that idea, he was pulling 1%, 2%, right? 724 00:41:06,120 --> 00:41:08,219 Speaker 7: Yeah, my thinking was like, all right, and we'll just 725 00:41:08,239 --> 00:41:12,080 Speaker 7: do rank choice and hopefully we'll end up with Bradlander 726 00:41:12,100 --> 00:41:16,920 Speaker 7: or something, someone like that. But on his actual policy demands, 727 00:41:16,960 --> 00:41:17,600 Speaker 7: when I looked at. 728 00:41:17,600 --> 00:41:27,069 Speaker 1: Them, okay, the pilot... grocery store program. Free child care, 729 00:41:27,090 --> 00:41:29,270 Speaker 1: I think, is a pretty straightforwardly good policy. 730 00:41:29,610 --> 00:41:33,620 Speaker 2: And it exists in New Mexico. I mean, there are 731 00:41:33,660 --> 00:41:35,600 Speaker 2: places where it's happening now, too. 732 00:41:35,960 --> 00:41:37,440 Speaker 1: Freeze the rent and free buses. 733 00:41:37,460 --> 00:41:40,460 Speaker 7: At a policy level, I actually had objections to all 734 00:41:40,500 --> 00:41:43,480 Speaker 7: those things, even as someone who shares all of Zoran's 735 00:41:43,520 --> 00:41:44,600 Speaker 7: normative commitments. 736 00:41:45,400 --> 00:41:48,529 Speaker 1: With free buses, it was like, okay, yes, but service 737 00:41:48,590 --> 00:41:50,089 Speaker 1: is deteriorating. So wouldn't we. 738 00:41:50,070 --> 00:41:54,730 Speaker 7: Rather have that 600, $ 700 million improving service or back then, 739 00:41:54,750 --> 00:41:58,230 Speaker 7: you know, interest rates were lower than they are now by. 740 00:41:58,110 --> 00:41:58,529 Speaker 1: A little bit. 741 00:41:58,550 --> 00:42:03,210 Speaker 7: So couldn't that like service $ 30 billion worth of improvements 742 00:42:03,530 --> 00:42:05,330 Speaker 7: and so on. Uh, that was, that was one of 743 00:42:05,370 --> 00:42:08,690 Speaker 7: my objections. Another one of my objections was freeze the rent. 744 00:42:08,710 --> 00:42:11,950 Speaker 7: Of course, like, okay, that benefits a pocket of, of, 745 00:42:12,190 --> 00:42:15,050 Speaker 7: of people, an important sizable group of people. but it 746 00:42:15,090 --> 00:42:20,069 Speaker 7: doesn't resolve the overall problem with the grocery stores. You know, 747 00:42:20,150 --> 00:42:23,050 Speaker 7: five pilot stores are not going to really have a 748 00:42:23,070 --> 00:42:24,210 Speaker 7: meaningful impact on prices. 749 00:42:24,390 --> 00:42:26,050 Speaker 1: So I had all these policy objections. 750 00:42:26,110 --> 00:42:30,880 Speaker 7: And in a sense, even as someone from the Marxist 751 00:42:30,920 --> 00:42:34,160 Speaker 7: socialist left, I was basically giving the liberal objections or, 752 00:42:34,280 --> 00:42:38,319 Speaker 7: you know, center left objections to Zoran's policies. But at 753 00:42:38,360 --> 00:42:43,069 Speaker 7: a political level, those demands were transformative. He's managed to 754 00:42:43,130 --> 00:42:46,430 Speaker 7: take the energy from that political mobilization and his own 755 00:42:46,489 --> 00:42:50,590 Speaker 7: communicative ability, the narrative that he was creating about New York, 756 00:42:50,890 --> 00:42:56,840 Speaker 7: about making the race about affordability instead of about experience 757 00:42:57,219 --> 00:43:00,140 Speaker 7: or crime or all these other things that seem plain 758 00:43:00,180 --> 00:43:04,000 Speaker 7: to Cuomo's hand. He was able to now back it 759 00:43:04,020 --> 00:43:06,460 Speaker 7: up with real policies. He's been able to say, freeze 760 00:43:06,500 --> 00:43:10,490 Speaker 7: the rent and support tenants, but also construct more housing, 761 00:43:10,610 --> 00:43:14,260 Speaker 7: including public housing, but also private housing. He has been 762 00:43:14,320 --> 00:43:17,080 Speaker 7: able to take an argument that he still has in 763 00:43:17,160 --> 00:43:19,719 Speaker 7: one with the MTA around free buses and turn it 764 00:43:19,780 --> 00:43:24,000 Speaker 7: into the expansion of new transit plans and a broader 765 00:43:24,060 --> 00:43:26,660 Speaker 7: sense of like, yes, this is our city. And even 766 00:43:26,719 --> 00:43:28,779 Speaker 7: if we do end up having to pay a user 767 00:43:28,840 --> 00:43:32,020 Speaker 7: fee before we use public transit, it is public and 768 00:43:32,060 --> 00:43:36,649 Speaker 7: it should be, you know, fast and accessible and so on. 769 00:43:36,710 --> 00:43:39,110 Speaker 7: And all these points I think he was able to 770 00:43:39,190 --> 00:43:42,730 Speaker 7: back up this sort of narrative that he was saying 771 00:43:43,210 --> 00:43:46,760 Speaker 7: with concrete policies. And, you know, just a couple days ago, 772 00:43:46,840 --> 00:43:50,480 Speaker 7: not to not to date the podcast too much, Obama 773 00:43:50,500 --> 00:43:54,419 Speaker 7: was pilloried, I think, wrongly by the left for saying that, 774 00:43:55,320 --> 00:43:58,320 Speaker 7: you know, Democrats have focused a lot on like policies. 775 00:43:58,610 --> 00:44:00,810 Speaker 7: And like, I mean, he framed it a little poorly, 776 00:44:00,830 --> 00:44:04,310 Speaker 7: in my opinion, like material gains, instead of telling people 777 00:44:04,370 --> 00:44:07,569 Speaker 7: stories and narratives. And I actually think there's a lot 778 00:44:07,610 --> 00:44:10,790 Speaker 7: of truth to that. Like people want to see themselves 779 00:44:11,050 --> 00:44:14,489 Speaker 7: in your vision. And Trump obviously had a little bit 780 00:44:14,530 --> 00:44:17,799 Speaker 7: of that in 2016 before he decided to just lean 781 00:44:17,860 --> 00:44:22,660 Speaker 7: into 100% crazy. And Zoran obviously had it in his 782 00:44:22,719 --> 00:44:24,520 Speaker 7: election too. I think a lot of people saw themselves 783 00:44:24,560 --> 00:44:25,680 Speaker 7: in his narrative. 784 00:44:26,610 --> 00:44:30,190 Speaker 2: It's interesting to me that that was something that Obama 785 00:44:30,210 --> 00:44:31,370 Speaker 2: really struggled with. 786 00:44:31,450 --> 00:44:31,689 Speaker 1: Right. 787 00:44:31,730 --> 00:44:34,330 Speaker 2: Being I mean, he was a very gifted orator, but 788 00:44:34,450 --> 00:44:39,089 Speaker 2: ultimately he went in there and did policy. And that 789 00:44:39,140 --> 00:44:41,440 Speaker 2: was something Biden really struggled with, too. 790 00:44:41,560 --> 00:44:41,799 Speaker 7: Right. 791 00:44:41,820 --> 00:44:41,960 Speaker 1: Like. 792 00:44:42,450 --> 00:44:47,810 Speaker 2: Inability to transmit the policy to voters, right? Chips and science, 793 00:44:48,360 --> 00:44:52,860 Speaker 2: that's an amazing piece of policy. Nobody ever, child tax credit? 794 00:44:52,980 --> 00:44:56,759 Speaker 2: I mean, hard to think of a better piece of policy. 795 00:44:56,860 --> 00:44:58,460 Speaker 2: I don't know if you, how you feel about the 796 00:44:58,480 --> 00:44:59,219 Speaker 2: child tax credit. 797 00:44:59,239 --> 00:45:02,390 Speaker 7: But I- No, no, I'm in favor of that. I 798 00:45:02,410 --> 00:45:05,469 Speaker 7: think Clinton was able to sell things like that with 799 00:45:05,510 --> 00:45:08,310 Speaker 7: a narrative. I think Biden, I mean, he was just 800 00:45:08,390 --> 00:45:11,969 Speaker 7: unable to communicate, but I would agree that at domestic level, 801 00:45:12,550 --> 00:45:15,790 Speaker 7: like we were gaining hundreds of thousands of manufacturing jobs 802 00:45:15,950 --> 00:45:19,010 Speaker 7: at a time when the rest of the capitalist world, 803 00:45:19,050 --> 00:45:22,720 Speaker 7: places like Germany were losing hundreds of thousands of jobs, 804 00:45:22,820 --> 00:45:25,400 Speaker 7: but he was unable to explain to people what he 805 00:45:25,420 --> 00:45:28,040 Speaker 7: was doing and how they fit in. Whereas Trump will 806 00:45:28,460 --> 00:45:31,940 Speaker 7: oversee the, the loss of manufacturing jobs, but stand in 807 00:45:32,000 --> 00:45:34,750 Speaker 7: front of a new factory that's being created and kind 808 00:45:34,770 --> 00:45:38,070 Speaker 7: of really bill it as, as you know, something special. 809 00:45:39,210 --> 00:45:41,820 Speaker 1: Um, but, uh, But. 810 00:45:41,920 --> 00:45:47,880 Speaker 2: Actually, Zorian has been pretty good transmitting policy wins and 811 00:45:47,940 --> 00:45:51,799 Speaker 2: explaining things in ways that voters get in a way 812 00:45:51,840 --> 00:45:54,469 Speaker 2: that I have not seen a Democratic politician do in 813 00:45:54,489 --> 00:45:57,610 Speaker 2: a long, long time. Why and how? 814 00:45:58,650 --> 00:46:03,290 Speaker 7: Well, I think for one, actually having the ideology of 815 00:46:03,330 --> 00:46:06,770 Speaker 7: being a Democratic socialist, I think, has been to his benefit. 816 00:46:07,630 --> 00:46:10,029 Speaker 7: So in a rough sense, this is going to make 817 00:46:10,050 --> 00:46:15,330 Speaker 7: it sound make me sound like I'm dogmatic, but it 818 00:46:15,410 --> 00:46:18,920 Speaker 7: is useful to be able to walk into a room 819 00:46:19,140 --> 00:46:22,820 Speaker 7: or a situation and know the broad truth of the matter. 820 00:46:23,300 --> 00:46:28,140 Speaker 7: Know the capital T truth that working class people are 821 00:46:28,180 --> 00:46:30,370 Speaker 7: trying to survive and they're creating a lot of the 822 00:46:30,410 --> 00:46:33,009 Speaker 7: value of a society and they're not getting a lot 823 00:46:33,070 --> 00:46:36,190 Speaker 7: back and they have less say compared to the powerful 824 00:46:36,210 --> 00:46:39,319 Speaker 7: and the rich and people who control the jobs and Um, 825 00:46:39,360 --> 00:46:41,700 Speaker 7: you know, how I use money to influence our politics. 826 00:46:42,800 --> 00:46:46,900 Speaker 7: Then obviously at the policy level, it's more complicated because 827 00:46:47,080 --> 00:46:52,120 Speaker 7: if you scare away the people who are producing employment, um, 828 00:46:52,340 --> 00:46:54,520 Speaker 7: you're going to end up also hurting the working class people. 829 00:46:54,600 --> 00:46:56,259 Speaker 7: You know, it's better to have rich people in the 830 00:46:56,280 --> 00:47:00,400 Speaker 7: city conspicuously spending. There's, there's lots of like, uh, knockdown 831 00:47:00,440 --> 00:47:03,660 Speaker 7: effects from their consumption. I'd rather them be here than 832 00:47:03,760 --> 00:47:06,049 Speaker 7: take all the FinTech jobs, move them to Texas. So 833 00:47:06,110 --> 00:47:09,300 Speaker 7: he getting all the policy complexity. But I think starting 834 00:47:09,360 --> 00:47:11,880 Speaker 7: with like, OK, I'm on the side of working people 835 00:47:12,180 --> 00:47:14,140 Speaker 7: and I'm going to articulate to people that I'm on 836 00:47:14,160 --> 00:47:16,549 Speaker 7: their side. I then get into the nitty gritty of 837 00:47:16,610 --> 00:47:19,630 Speaker 7: governance after that. I think there's a difference between that 838 00:47:20,230 --> 00:47:24,470 Speaker 7: and being an ordinary liberal who potentially walk into that 839 00:47:24,510 --> 00:47:27,299 Speaker 7: situation and say that, you know, there's a lot of good, 840 00:47:27,400 --> 00:47:29,920 Speaker 7: nice people here with lots of different points. 841 00:47:30,890 --> 00:47:36,140 Speaker 2: So I think that's a really important bit, which is 842 00:47:36,200 --> 00:47:39,820 Speaker 2: that he does actually seem to really believe what he's doing, 843 00:47:40,219 --> 00:47:46,720 Speaker 2: which is almost completely without precedent. But it is also 844 00:47:46,860 --> 00:47:52,830 Speaker 2: much harder to alienate very rich people. I mean, you 845 00:47:52,870 --> 00:47:55,670 Speaker 2: can make them mad, and they are certainly very mad 846 00:47:55,750 --> 00:47:59,310 Speaker 2: at Zoran, but they were mad at the beginning. 847 00:47:58,890 --> 00:48:00,980 Speaker 7: Because So I think the real risk is this, like 848 00:48:01,200 --> 00:48:05,020 Speaker 7: I'm in favor of the, I'm in favor of actions 849 00:48:05,200 --> 00:48:08,800 Speaker 7: that target the rich as rich people in New York 850 00:48:09,800 --> 00:48:13,620 Speaker 7: and that increase their income tax, for example, which is 851 00:48:13,640 --> 00:48:16,460 Speaker 7: already obviously higher than living anywhere else. I think they 852 00:48:16,500 --> 00:48:19,450 Speaker 7: have a lot of fixed connection to New York and 853 00:48:19,469 --> 00:48:22,180 Speaker 7: there's no other place like New York. They also own 854 00:48:22,200 --> 00:48:23,690 Speaker 7: a lot of assets in New York. So I don't 855 00:48:23,710 --> 00:48:26,750 Speaker 7: think they're going to leave, but I think we should 856 00:48:26,790 --> 00:48:31,520 Speaker 7: be very wary of pissing people off as people who 857 00:48:31,620 --> 00:48:34,680 Speaker 7: create jobs, which is only a tiny portion of these 858 00:48:34,719 --> 00:48:37,319 Speaker 7: rich people. But with that tax, he just happened to 859 00:48:37,360 --> 00:48:40,560 Speaker 7: target one of them, you know, in how we frame it. 860 00:48:40,820 --> 00:48:42,589 Speaker 7: I think that was the problem. And also the corporate 861 00:48:42,610 --> 00:48:47,489 Speaker 7: tax rate thing, I think, is very potentially problematic, in 862 00:48:47,550 --> 00:48:51,010 Speaker 7: part because obviously capital can move very easy. 863 00:48:51,469 --> 00:48:54,189 Speaker 1: Capital can move more easily than.... 864 00:48:56,340 --> 00:48:58,830 Speaker 7: In a federal system like New York, it's very easy 865 00:48:58,910 --> 00:49:01,830 Speaker 7: to just have your taxes flow through New Jersey or 866 00:49:01,870 --> 00:49:05,450 Speaker 7: Delaware or somewhere else. So I'm actually more wary about 867 00:49:05,510 --> 00:49:08,790 Speaker 7: attempts to raise the corporate tax rate. I'm also wary 868 00:49:08,850 --> 00:49:11,630 Speaker 7: of certain poorly designed wealth taxes. They all have to 869 00:49:11,730 --> 00:49:14,129 Speaker 7: be analyzed at the policy level. But I do think 870 00:49:14,170 --> 00:49:16,780 Speaker 7: the rich can sustain a higher you know, income tax 871 00:49:16,820 --> 00:49:17,500 Speaker 7: in the hair, you. 872 00:49:17,440 --> 00:49:17,940 Speaker 3: Know, hair now. 873 00:49:19,080 --> 00:49:22,290 Speaker 2: I also wonder, though, like a tax like the mansion 874 00:49:22,310 --> 00:49:25,490 Speaker 2: tax of one percent of sales, like why isn't that higher? 875 00:49:26,040 --> 00:49:28,540 Speaker 2: Those are great examples. Like, that's a tax that you 876 00:49:28,560 --> 00:49:31,990 Speaker 2: just have to pay if you're going to move, period, paragraph. 877 00:49:32,090 --> 00:49:34,650 Speaker 2: If your apartment is over a million dollars, you have 878 00:49:34,670 --> 00:49:38,290 Speaker 2: to pay. Like, that strikes me as a pretty easy 879 00:49:38,530 --> 00:49:40,370 Speaker 2: win for the city, right? 880 00:49:40,590 --> 00:49:42,170 Speaker 7: What I would imagine on that, I have no idea 881 00:49:42,190 --> 00:49:45,450 Speaker 7: in the policy debate, but I would imagine that because 882 00:49:45,530 --> 00:49:48,320 Speaker 7: the rate is now relatively low, I know a million, 883 00:49:48,450 --> 00:49:49,960 Speaker 7: for people outside of New York, it sounds like we're 884 00:49:49,980 --> 00:49:53,170 Speaker 7: crazy people, but like, That's like a two-bedroom apartment in 885 00:49:53,210 --> 00:49:56,120 Speaker 7: most parts of the city. Because the rate's relatively low 886 00:49:56,340 --> 00:49:59,180 Speaker 7: at a policy level, if they raised it to 2% 887 00:49:59,180 --> 00:50:01,680 Speaker 7: but raised the cap to $ 2 million, maybe it generates 888 00:50:01,920 --> 00:50:04,440 Speaker 7: less money. I imagine there's probably a way to go 889 00:50:04,520 --> 00:50:09,940 Speaker 7: after realtor lobbies and basically say that this extra addition, 890 00:50:10,080 --> 00:50:12,489 Speaker 7: bumping it to two, comes out of the buyer and 891 00:50:12,530 --> 00:50:13,390 Speaker 7: seller agent. 892 00:50:13,590 --> 00:50:13,810 Speaker 2: Right. 893 00:50:14,190 --> 00:50:16,710 Speaker 7: Those lobbies are so strong and so interconnected with the 894 00:50:16,750 --> 00:50:19,730 Speaker 7: Democratic Party. It's like lawyers, real estate agents are like, 895 00:50:19,850 --> 00:50:22,390 Speaker 7: you know, part of the bread and butter of our 896 00:50:22,430 --> 00:50:22,970 Speaker 7: shared party. 897 00:50:23,410 --> 00:50:26,029 Speaker 2: So I want to ask this Democratic senator, who I 898 00:50:26,050 --> 00:50:29,460 Speaker 2: think is pretty smart, why there's no regulation when it 899 00:50:29,500 --> 00:50:30,700 Speaker 2: comes to technology. 900 00:50:31,400 --> 00:50:32,180 Speaker 1: None, right? 901 00:50:32,500 --> 00:50:36,220 Speaker 2: Facebook, nothing. I mean, like literally nothing. There is nothing. 902 00:50:37,460 --> 00:50:42,690 Speaker 2: And he said, because a lot of Democrats get money from... 903 00:50:43,550 --> 00:50:48,560 Speaker 2: tech companies, that there's like a low key grift there. Obviously, 904 00:50:48,739 --> 00:50:52,120 Speaker 2: I'm not making a comparison between the Democratic Party and 905 00:50:52,140 --> 00:50:54,100 Speaker 2: what we're seeing on the Republican side, because what we're 906 00:50:54,120 --> 00:50:56,439 Speaker 2: seeing on the Republican side is he is a kind 907 00:50:56,480 --> 00:51:02,070 Speaker 2: of catastrophic grift that no longer recognizes Democratic norms. But 908 00:51:03,030 --> 00:51:06,910 Speaker 2: that question of like of getting money out of politics 909 00:51:06,969 --> 00:51:10,589 Speaker 2: so we can see some real legislation. What are your 910 00:51:10,610 --> 00:51:11,069 Speaker 2: thoughts there? 911 00:51:12,140 --> 00:51:14,790 Speaker 1: Yeah, I mean, I think it's an important component. 912 00:51:15,450 --> 00:51:17,770 Speaker 7: I think when it comes to some of these issues, 913 00:51:17,850 --> 00:51:20,710 Speaker 7: like the power of the tech companies, it's always three factors. 914 00:51:20,830 --> 00:51:22,990 Speaker 1: It's one, they're lobbying dollars. 915 00:51:23,730 --> 00:51:27,570 Speaker 7: It's two, the fact that they are sources of employment 916 00:51:27,630 --> 00:51:29,450 Speaker 7: for a lot of people, a lot of districts, including 917 00:51:29,489 --> 00:51:33,930 Speaker 7: like progressives, like the Rojanas of the world are in 918 00:51:33,950 --> 00:51:36,029 Speaker 7: districts in which like it is hard to take on 919 00:51:36,070 --> 00:51:40,920 Speaker 7: Silicon Valley when it's actually such an important employer. Um, 920 00:51:41,020 --> 00:51:43,060 Speaker 7: but also I think there is like this ingrained, like 921 00:51:43,200 --> 00:51:45,879 Speaker 7: libertarian sensibility in the U S that I think has 922 00:51:45,920 --> 00:51:49,319 Speaker 7: like led to really adverse policy outcomes at times. I mean, 923 00:51:49,360 --> 00:51:52,020 Speaker 7: when I, I think it's fairly common sense to have, 924 00:51:52,060 --> 00:51:56,850 Speaker 7: let's say age verification on like porn sites, you know, 925 00:51:56,930 --> 00:51:59,810 Speaker 7: I know this sounds like I'm a conservative, but like, okay, 926 00:51:59,830 --> 00:52:01,509 Speaker 7: like a 16 year old is going to figure out 927 00:52:01,550 --> 00:52:03,910 Speaker 7: how to get around it or go to another site, 928 00:52:04,230 --> 00:52:07,230 Speaker 7: but like at least print some 12 or 13 year 929 00:52:07,310 --> 00:52:11,260 Speaker 7: old boys. So they don't like develop like, you know, whatever, 930 00:52:11,360 --> 00:52:12,779 Speaker 7: you know, you know, like, I think there's like a 931 00:52:12,820 --> 00:52:15,090 Speaker 7: strong case for that. There's a strong case for not 932 00:52:15,200 --> 00:52:18,830 Speaker 7: allowing at least gambling advertisement on TV. So you can 933 00:52:18,870 --> 00:52:21,529 Speaker 7: watch a sporting event, and you're not just bombarded with 934 00:52:21,550 --> 00:52:24,830 Speaker 7: the stuff or telling companies that like, okay, even if 935 00:52:24,870 --> 00:52:26,410 Speaker 7: we allow, which I don't think we should, but even 936 00:52:26,430 --> 00:52:29,109 Speaker 7: when we allow an app like calci, or some betting 937 00:52:29,190 --> 00:52:31,049 Speaker 7: app on your phone, it shouldn't be allowed to send 938 00:52:31,090 --> 00:52:34,919 Speaker 7: you push notifications with offers. Like certain things like that 939 00:52:35,140 --> 00:52:39,589 Speaker 7: are are common sense, but beyond all the money that's 940 00:52:39,630 --> 00:52:42,630 Speaker 7: prevented good policies, there's also the sense of, like, people 941 00:52:42,690 --> 00:52:45,270 Speaker 7: are worried about the moral hazard of the state, which 942 00:52:45,310 --> 00:52:47,969 Speaker 7: I think in extreme instances exists. Like, I'm not for 943 00:52:47,989 --> 00:52:50,350 Speaker 7: the death penalty because of the, in part, the moral, 944 00:52:50,590 --> 00:52:52,710 Speaker 7: you know, hazard of just having the state, you know, 945 00:52:52,750 --> 00:52:57,830 Speaker 7: kill people. But the idea that, like, some, like, Pornhub 946 00:52:57,890 --> 00:53:02,660 Speaker 7: having your data is more dangerous than, like, the social 947 00:53:02,700 --> 00:53:06,870 Speaker 7: effects of, like, certain types of pornography being seen by, 948 00:53:07,210 --> 00:53:10,840 Speaker 7: by very young people just developing, um, to me is 949 00:53:10,860 --> 00:53:13,440 Speaker 7: just like, like silly. And I even hear it on, 950 00:53:13,719 --> 00:53:17,600 Speaker 7: on the left, um, too. It's not just a right-wing argument. 951 00:53:18,560 --> 00:53:18,920 Speaker 1: Yeah. 952 00:53:19,060 --> 00:53:22,299 Speaker 2: So interesting. Anyway, thank you. Thank you for coming on. 953 00:53:22,420 --> 00:53:25,279 Speaker 1: So good. Oh, I appreciate you having me on. 954 00:53:31,340 --> 00:53:32,060 Speaker 2: Rick Wilson. 955 00:53:32,700 --> 00:53:33,100 Speaker 4: Yes, ma'am. 956 00:53:33,910 --> 00:53:38,069 Speaker 2: What happens when you are a gubernatorial candidate and you 957 00:53:38,090 --> 00:53:40,450 Speaker 2: want to prove that you're a big, strong guy, but 958 00:53:40,489 --> 00:53:44,230 Speaker 2: that you also are a family man and you try 959 00:53:44,250 --> 00:53:48,589 Speaker 2: to pick up a. OK, you know what I'm talking about? 960 00:53:49,290 --> 00:53:52,830 Speaker 2: Not since Mike Dukakis was in and we love Mike 961 00:53:52,850 --> 00:53:55,609 Speaker 2: Dukakis and we love his son. We love John. John, 962 00:53:55,650 --> 00:53:59,850 Speaker 2: we love you. Was in a tank. Has a moment 963 00:54:00,170 --> 00:54:01,810 Speaker 2: so backfired for a candidate. 964 00:54:02,469 --> 00:54:02,870 Speaker 1: Tell us. 965 00:54:03,750 --> 00:54:06,710 Speaker 3: It's Vivek Wikaswami, as someone called him. 966 00:54:07,150 --> 00:54:10,089 Speaker 4: He tries to pick up his kid and drops him. 967 00:54:10,690 --> 00:54:13,819 Speaker 2: He can't. I mean, and it is the vision. 968 00:54:13,860 --> 00:54:16,160 Speaker 4: He can't pick up a 45-pound kid? Get the fuck 969 00:54:16,280 --> 00:54:16,700 Speaker 4: out of here. 970 00:54:17,140 --> 00:54:19,900 Speaker 2: The kid is clearly too big for him to pick up. 971 00:54:20,440 --> 00:54:26,840 Speaker 4: But still. Still. I can't. If he loses. 972 00:54:27,090 --> 00:54:27,270 Speaker 2: You. 973 00:54:27,200 --> 00:54:31,020 Speaker 3: Know, Kathleen Hall Jameson, the great presidential election scholar, once 974 00:54:31,060 --> 00:54:34,020 Speaker 3: wrote about Mike Dukakis and the tank, the image. And 975 00:54:34,100 --> 00:54:37,600 Speaker 3: she says that in campaigns, there's always an... In modern campaigns, 976 00:54:37,620 --> 00:54:40,600 Speaker 3: there's always an image that sticks of that campaign somewhere, 977 00:54:41,020 --> 00:54:43,739 Speaker 3: whether it's presidential or whatever. That will be the image 978 00:54:43,760 --> 00:54:46,940 Speaker 3: that sticks for Vivek. That will be the image of 979 00:54:46,980 --> 00:54:50,200 Speaker 3: him that sort of sticks in people's minds like fumbling 980 00:54:50,260 --> 00:54:51,240 Speaker 3: his own kid. 981 00:54:52,520 --> 00:54:56,879 Speaker 2: It was the kind of thing... That you cannot create 982 00:54:56,890 --> 00:54:58,319 Speaker 2: on the trail. 983 00:54:58,340 --> 00:54:59,340 Speaker 4: And you can't spin it away. 984 00:55:00,440 --> 00:55:01,109 Speaker 1: Rick Wilson. 985 00:55:02,070 --> 00:55:02,320 Speaker 4: See ya. 986 00:55:03,290 --> 00:55:07,690 Speaker 2: That's it for this episode of Fast Politics. Tune in 987 00:55:08,070 --> 00:55:13,410 Speaker 2: every Monday, Wednesday, Thursday and Saturday to hear the best 988 00:55:13,489 --> 00:55:17,840 Speaker 2: minds in politics make sense of all this chaos. If 989 00:55:17,860 --> 00:55:20,940 Speaker 2: you enjoy this podcast, please send it to a friend 990 00:55:21,440 --> 00:55:24,560 Speaker 2: and keep the conversation going. Thanks for listening.