1 00:00:00,600 --> 00:00:04,120 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,720 Speaker 1: today's best minds, and even Steve Bannon has denounced Trump 4 00:00:11,760 --> 00:00:16,160 Speaker 1: for meeting with Kanye and white nationalist Nick Fuentez. We're 5 00:00:16,200 --> 00:00:21,440 Speaker 1: back after the holiday with a super interesting show. Ross 6 00:00:21,480 --> 00:00:25,840 Speaker 1: Morales roquetto, co founder of Rum for Something, tells us 7 00:00:25,880 --> 00:00:29,920 Speaker 1: about how the down vallet midterm races shook out and 8 00:00:29,960 --> 00:00:33,960 Speaker 1: the interesting things he saw in local offices. Then we'll 9 00:00:33,960 --> 00:00:37,080 Speaker 1: talk to you Dr Mark G. Lousteau, an expert on 10 00:00:37,280 --> 00:00:40,280 Speaker 1: Eastern European religion and politics, and what we can learn 11 00:00:40,320 --> 00:00:46,600 Speaker 1: from Hungary's authoritarianism. But first we have legendary democratic strategist 12 00:00:47,000 --> 00:00:51,720 Speaker 1: James Carville. Welcome back to Fast Politics, James Carvill, Well, 13 00:00:51,840 --> 00:00:58,400 Speaker 1: good to be here, Happy Thanksgiving. The news of the 14 00:00:58,440 --> 00:01:07,080 Speaker 1: weekend was the Trump Kanye Nick Fuentez dinner where Trump 15 00:01:07,120 --> 00:01:10,680 Speaker 1: didn't know him. You know, he accidentally had dinner with 16 00:01:10,720 --> 00:01:14,480 Speaker 1: a white supremacist and a man who has been on 17 00:01:14,680 --> 00:01:18,200 Speaker 1: anti Semitic terror for the last two weeks. Is that right? 18 00:01:18,560 --> 00:01:21,200 Speaker 1: Why is anyone surprised? I'm been honest, you know, well, 19 00:01:21,880 --> 00:01:24,360 Speaker 1: this is terrible, But what is totally consistent with who 20 00:01:24,360 --> 00:01:29,400 Speaker 1: he is. Come on, he's still the presumptive nominee for 21 00:01:29,440 --> 00:01:33,600 Speaker 1: the Republican Party. Yeah, but I just think he's going 22 00:01:33,640 --> 00:01:35,560 Speaker 1: to be indicted, and I don't think it's going to 23 00:01:35,800 --> 00:01:38,080 Speaker 1: be very long for now, and I think the place 24 00:01:38,160 --> 00:01:41,479 Speaker 1: against him is so stunningly compelling. I don't I have 25 00:01:41,520 --> 00:01:44,720 Speaker 1: no idea. I guess they could delay it, but demorrow 26 00:01:44,760 --> 00:01:48,960 Speaker 1: Lago thing is just a straight line. The documents case. Yeah, 27 00:01:49,560 --> 00:01:52,440 Speaker 1: he took something that didn't belong to him. Pople asked 28 00:01:52,440 --> 00:01:54,720 Speaker 1: Whitely to return it. He didn't return it. Then he 29 00:01:54,840 --> 00:01:57,760 Speaker 1: got a request that that if you returned everything, he 30 00:01:57,760 --> 00:02:00,720 Speaker 1: said yes, he didn't, then a subpoena. They still didn't 31 00:02:00,720 --> 00:02:03,200 Speaker 1: return it. I mean, I don't I have no idea 32 00:02:03,200 --> 00:02:06,600 Speaker 1: of what defense is available to him. I mean, anytime 33 00:02:06,640 --> 00:02:09,760 Speaker 1: you a lawyer a criminal case, the first thing he 34 00:02:09,880 --> 00:02:11,760 Speaker 1: or she thinks of is what defensives do I have? 35 00:02:12,000 --> 00:02:14,640 Speaker 1: I don't see where what defenses he is at all here? 36 00:02:14,760 --> 00:02:18,320 Speaker 1: But you have to get a better lawyer in me. Well, 37 00:02:18,600 --> 00:02:22,280 Speaker 1: Trumble was famous for not beaying people. Has paid this lawyer. Um. 38 00:02:22,360 --> 00:02:27,560 Speaker 1: He has put down an enormous three million dollar retainer 39 00:02:28,000 --> 00:02:31,120 Speaker 1: for for one of his lawyers, so he does clearly 40 00:02:31,160 --> 00:02:34,200 Speaker 1: know he's in trouble. I mean, theoretically you can run 41 00:02:34,200 --> 00:02:38,600 Speaker 1: for offers having been indicted. It's just a yeah, you know, 42 00:02:39,320 --> 00:02:41,560 Speaker 1: you can run for offers from you can run for 43 00:02:41,639 --> 00:02:44,800 Speaker 1: president from being in jail. It's just to heavier left 44 00:02:45,000 --> 00:02:48,280 Speaker 1: right and evidence they have but that we don't even 45 00:02:48,320 --> 00:02:52,320 Speaker 1: know about. Staggering in front and counter may very well 46 00:02:52,480 --> 00:02:56,519 Speaker 1: bede him, but I don't know how Mr Smith. Let's 47 00:02:56,800 --> 00:02:58,639 Speaker 1: let's just pass from him. I don't think he can 48 00:02:59,320 --> 00:03:01,840 Speaker 1: but brush. I mean, if he's haven't done it with 49 00:03:01,960 --> 00:03:04,320 Speaker 1: Nick Flinty's, I guess who cares if he gets indicted? 50 00:03:04,360 --> 00:03:08,400 Speaker 1: If you stial with him after all that, I feel 51 00:03:08,400 --> 00:03:11,079 Speaker 1: like the fundamental issue is it's a math problem. Right 52 00:03:11,560 --> 00:03:13,760 Speaker 1: if you look at across the board, his numbers are 53 00:03:13,760 --> 00:03:17,560 Speaker 1: starting to weaken a little bit with Republicans, but if 54 00:03:17,600 --> 00:03:20,560 Speaker 1: you if you think about it, they're the way that 55 00:03:20,680 --> 00:03:24,480 Speaker 1: they choose delegates, buying Ladge is more winner take all 56 00:03:25,000 --> 00:03:28,760 Speaker 1: and Democrats are more proportional representation. Now, I don't understand 57 00:03:28,760 --> 00:03:31,359 Speaker 1: the party rules to degree, but I think it is 58 00:03:31,400 --> 00:03:35,160 Speaker 1: a general rule that is a fact. And so if 59 00:03:35,200 --> 00:03:37,760 Speaker 1: you have four people running and it's winner take all, 60 00:03:38,080 --> 00:03:41,200 Speaker 1: and you win forty to thirty eight to you know, 61 00:03:41,720 --> 00:03:45,440 Speaker 1: was at seventy eight to eleven to eleven. You get 62 00:03:45,480 --> 00:03:50,440 Speaker 1: all every delegate, right, So it their rules, they stay 63 00:03:50,480 --> 00:03:54,560 Speaker 1: the same kind of favor a person would have, would 64 00:03:54,560 --> 00:03:58,800 Speaker 1: have really deep level of support. He doesn't need half 65 00:03:59,120 --> 00:04:01,560 Speaker 1: right now. The way the Democrats do it, of course, 66 00:04:01,600 --> 00:04:04,240 Speaker 1: we've got every kind of rule with kicks in and 67 00:04:04,280 --> 00:04:10,160 Speaker 1: everything else is eleven eleven that generally roughly runs how 68 00:04:10,160 --> 00:04:13,120 Speaker 1: many delegates you get right, No, and it's much and 69 00:04:13,240 --> 00:04:17,400 Speaker 1: it's a sort of slower process too. Yes. And I 70 00:04:17,440 --> 00:04:20,400 Speaker 1: mean also there's going to be movement in the in 71 00:04:20,480 --> 00:04:23,640 Speaker 1: the Democratic primaries to write that they're going to change 72 00:04:23,720 --> 00:04:26,400 Speaker 1: up the states and how it all works right or 73 00:04:26,480 --> 00:04:31,120 Speaker 1: now after the Iowa caucus debacle. Yeah, that I think 74 00:04:31,160 --> 00:04:34,000 Speaker 1: they're not going to try to do something. But New 75 00:04:34,000 --> 00:04:36,360 Speaker 1: Hampshire I think is going to stay. Just that's like 76 00:04:36,520 --> 00:04:41,080 Speaker 1: like the super Bowl for you, but they're not gonna change. Well, 77 00:04:41,120 --> 00:04:45,159 Speaker 1: everybody wants it, right, Who done the VATA ships? Good? 78 00:04:45,240 --> 00:04:48,200 Speaker 1: Good for tourism South Carolina. Do you think Jim Clepen's 79 00:04:48,200 --> 00:04:51,400 Speaker 1: gonna let him change South Carolina? Jamie Harrison, I don't 80 00:04:51,440 --> 00:04:54,080 Speaker 1: think so. That's not gonna work. So let's let me 81 00:04:54,160 --> 00:04:58,279 Speaker 1: ask you about this. We're in a very very interesting 82 00:04:58,360 --> 00:05:04,600 Speaker 1: time in democratic leadership. We have Nancy Pelosi is going 83 00:05:04,640 --> 00:05:07,479 Speaker 1: to stay in Congress, but she's going to retire. She 84 00:05:07,680 --> 00:05:10,400 Speaker 1: seems to have a secession plan worked out. I mean, 85 00:05:10,960 --> 00:05:13,359 Speaker 1: what do you think and do you I mean you 86 00:05:13,440 --> 00:05:15,960 Speaker 1: sort of know much more of the machinations than most 87 00:05:16,000 --> 00:05:19,080 Speaker 1: of us. Well, I get that Nancy Pelosi doesn't have 88 00:05:19,120 --> 00:05:20,800 Speaker 1: a plan is absurd. Of course she has a plan. 89 00:05:21,160 --> 00:05:24,200 Speaker 1: You know exactly what she's doing. And I think it 90 00:05:24,320 --> 00:05:27,279 Speaker 1: was a good sign. And I think that hockey, you know, 91 00:05:27,400 --> 00:05:29,480 Speaker 1: can do a really good job. I think all you're 92 00:05:29,480 --> 00:05:32,839 Speaker 1: stepping down. I mean, they gotta get some younger people, 93 00:05:32,880 --> 00:05:37,040 Speaker 1: and in some leadership positions here you feel like there's 94 00:05:37,160 --> 00:05:39,840 Speaker 1: I mean, who were you excited about with the sort 95 00:05:39,880 --> 00:05:42,599 Speaker 1: of younger people in Congress. But a lot of them 96 00:05:42,680 --> 00:05:45,360 Speaker 1: that you know that that you just don't hear from them. 97 00:05:45,360 --> 00:05:49,760 Speaker 1: I mean just Spanberger, Uh, Colin Albert, my friend from Dallas, 98 00:05:50,040 --> 00:05:54,000 Speaker 1: very excited about him, our mutual friend Ruben Gego I 99 00:05:54,000 --> 00:05:58,800 Speaker 1: got online as Lindsey Ukase. I mean, there's a ton 100 00:05:58,839 --> 00:06:00,120 Speaker 1: of them, and a lot of them I don't ever 101 00:06:00,240 --> 00:06:04,719 Speaker 1: know because they hadn't surfaced, but Mark Kelly turning into 102 00:06:04,720 --> 00:06:09,280 Speaker 1: be the real talent here corrected. Yeah, when Reuben Diego 103 00:06:09,480 --> 00:06:13,240 Speaker 1: primary is Kirsten Cinema, that is going to be the 104 00:06:13,440 --> 00:06:17,760 Speaker 1: absolute most amazing primary challenge ever. I don't think she'll 105 00:06:18,520 --> 00:06:23,520 Speaker 1: you don't you think she won't run again. You'll destroy it. 106 00:06:23,520 --> 00:06:27,840 Speaker 1: It's true. Independent. I don't know. You came on this 107 00:06:27,880 --> 00:06:32,240 Speaker 1: podcast last time before the mid terms. I was desponded 108 00:06:32,279 --> 00:06:34,400 Speaker 1: and convinced that there was going to be a red 109 00:06:34,480 --> 00:06:38,640 Speaker 1: wave that was going to install all of these um 110 00:06:39,240 --> 00:06:43,840 Speaker 1: election deniers and swing states. None of that happened, did you. 111 00:06:44,040 --> 00:06:45,760 Speaker 1: I mean, I feel like you were a little more 112 00:06:45,800 --> 00:06:49,159 Speaker 1: optimistic than I was. Well, it was kind of based 113 00:06:49,160 --> 00:06:52,880 Speaker 1: on two things. And I don't want to deem myself, 114 00:06:52,920 --> 00:06:56,159 Speaker 1: as I was kind of pleasantly surprised when I wasn't shot. 115 00:06:57,520 --> 00:07:00,800 Speaker 1: I would see three Senate polls every day and I 116 00:07:00,839 --> 00:07:03,120 Speaker 1: just didn't see any change. And then when you would 117 00:07:03,160 --> 00:07:07,000 Speaker 1: look at the public polls what they called a congressional generic, 118 00:07:07,360 --> 00:07:10,240 Speaker 1: it was pretty steady. Well, you know, I've been through 119 00:07:10,280 --> 00:07:14,280 Speaker 1: these bad cycles and good cycles, and generally towards the end, 120 00:07:14,440 --> 00:07:18,480 Speaker 1: things sort of start breaking, and I didn't see much 121 00:07:18,560 --> 00:07:20,880 Speaker 1: evidence it was breaking. I mean, it wasn't. It wasn't 122 00:07:20,880 --> 00:07:23,800 Speaker 1: a great place. We lost a popular vote. I think 123 00:07:23,800 --> 00:07:27,840 Speaker 1: like it was good. And we want a lot of big, 124 00:07:27,880 --> 00:07:32,120 Speaker 1: big centate races and governors races. But if you you know, 125 00:07:32,160 --> 00:07:34,680 Speaker 1: if you you just sort of look at your instruments, 126 00:07:34,800 --> 00:07:37,360 Speaker 1: you said, well, I'm looking at center pos in Nevada, 127 00:07:37,480 --> 00:07:40,800 Speaker 1: pos Colorado, could said, post Charge of Books said pos 128 00:07:40,840 --> 00:07:45,440 Speaker 1: in North Carolina, Pennsylvania, New Hampshire. And I don't see 129 00:07:45,480 --> 00:07:49,000 Speaker 1: the requisite deterioration that you would have seen in a 130 00:07:49,040 --> 00:07:52,560 Speaker 1: really big year. I didn't see a right that makes sense. 131 00:07:52,880 --> 00:07:55,960 Speaker 1: And I mean I was sort of surprised at how 132 00:07:56,040 --> 00:08:00,080 Speaker 1: much even Democrats held in the House. I was a 133 00:08:00,080 --> 00:08:02,920 Speaker 1: little bit, though I don't think I was. I would 134 00:08:02,920 --> 00:08:05,440 Speaker 1: have I wasn't in I'm not a predictor. You know, 135 00:08:05,840 --> 00:08:07,920 Speaker 1: Peter Hart tell there a long time ago. You know, 136 00:08:07,960 --> 00:08:10,480 Speaker 1: I said, you look at you know he needs to win. 137 00:08:10,520 --> 00:08:12,600 Speaker 1: He said, you know, I don't. If you go to 138 00:08:12,640 --> 00:08:15,120 Speaker 1: the doctor, the doctor examined you and said, you know what, 139 00:08:15,400 --> 00:08:17,720 Speaker 1: nine months and three days you're gonna drop debt? Well, 140 00:08:17,880 --> 00:08:21,240 Speaker 1: is that a good doctor a bad doctor? You're dead? 141 00:08:21,320 --> 00:08:24,880 Speaker 1: Nine months and three. Probably you want someone as well, 142 00:08:24,960 --> 00:08:26,760 Speaker 1: is what you can do to extend this thing out 143 00:08:26,800 --> 00:08:29,800 Speaker 1: a little bit. And so you know, I don't have 144 00:08:30,240 --> 00:08:34,280 Speaker 1: a great instinct to predict the election right out of money. 145 00:08:35,120 --> 00:08:38,320 Speaker 1: I'm too bigy trying to win it right. I want 146 00:08:38,360 --> 00:08:42,680 Speaker 1: to ask you about the lame duck. Now Democrats have 147 00:08:43,000 --> 00:08:47,400 Speaker 1: until January. I mean, there's certainly seems to be really 148 00:08:47,480 --> 00:08:50,839 Speaker 1: important that Democrats raised the debt ceiling so that Jim 149 00:08:50,920 --> 00:08:54,640 Speaker 1: Jordan's does not control the dead ceiling or whatever kind 150 00:08:54,679 --> 00:09:01,160 Speaker 1: of weirdness. The GOP Freedom Caucus MAGA Caucus becomes what 151 00:09:01,280 --> 00:09:04,800 Speaker 1: else do you think? Uh, you know, before payment and 152 00:09:04,880 --> 00:09:08,480 Speaker 1: sells on a zoom call with a lot of number 153 00:09:08,520 --> 00:09:13,679 Speaker 1: called knowledgeable people, and they're skeptical and that they can 154 00:09:13,720 --> 00:09:17,959 Speaker 1: get it done. From a political standpoint, I dare them 155 00:09:17,960 --> 00:09:23,320 Speaker 1: to do it. Make my day. And they would have 156 00:09:23,960 --> 00:09:27,240 Speaker 1: only got like a four seat majority. They got like 157 00:09:27,400 --> 00:09:30,360 Speaker 1: sixteen of them I think got elected in districts at 158 00:09:30,360 --> 00:09:33,640 Speaker 1: Biden one. I mean, you know, you think these people 159 00:09:33,640 --> 00:09:36,920 Speaker 1: in suburban New Jersey and you know the Hudson Valley 160 00:09:37,000 --> 00:09:40,960 Speaker 1: are going to risk of not raising the death ceiling 161 00:09:40,920 --> 00:09:43,200 Speaker 1: and defaulting under death and wrecking the economy. I don't 162 00:09:43,200 --> 00:09:46,520 Speaker 1: think so, but I don't like chicken with him. And 163 00:09:46,559 --> 00:09:49,520 Speaker 1: they've wanted a lot of districts that were Biden districts. Right. 164 00:09:49,679 --> 00:09:54,000 Speaker 1: Remember when Rick Scott's plan was to sunset surch coach 165 00:09:54,040 --> 00:09:58,120 Speaker 1: in medicare force cuts to it, and uh, you know 166 00:09:58,200 --> 00:10:00,760 Speaker 1: Ted budd and saying position, you know Ron Johnson and 167 00:10:00,920 --> 00:10:04,960 Speaker 1: the Washington Post fact checker said, yeah, that's not really 168 00:10:05,000 --> 00:10:08,800 Speaker 1: a Republican position. Democrats are democratic when they say that. Well, 169 00:10:09,040 --> 00:10:11,679 Speaker 1: after that happens, Kevin McCarthy said we're gonna shut the 170 00:10:11,800 --> 00:10:14,560 Speaker 1: up and down to force Cutson medic and so security 171 00:10:14,559 --> 00:10:17,560 Speaker 1: made the Washington Post like a fool because that's all 172 00:10:17,840 --> 00:10:21,559 Speaker 1: that their whole raised on debtress to cut these runaway. 173 00:10:21,559 --> 00:10:23,760 Speaker 1: He got damn runaway and tied with James. We got 174 00:10:23,760 --> 00:10:26,760 Speaker 1: to curb him and do something, and we got to 175 00:10:26,840 --> 00:10:29,079 Speaker 1: raise the gas tax while we had a great idea 176 00:10:29,120 --> 00:10:33,120 Speaker 1: of good chief, I'm right on it. They need right down. 177 00:10:34,440 --> 00:10:37,920 Speaker 1: Ron Johnson is. I'm telling you he's like one of 178 00:10:37,920 --> 00:10:41,199 Speaker 1: my favorite Republican politicians because he is really he is 179 00:10:41,320 --> 00:10:46,240 Speaker 1: neither charismatic, nor particularly talented, nor intelligent that we found 180 00:10:46,280 --> 00:10:48,880 Speaker 1: the one person in Wisconsin that he could beat. But 181 00:10:48,960 --> 00:10:51,559 Speaker 1: that was another one of those races where the polls. 182 00:10:52,240 --> 00:10:55,840 Speaker 1: If if people had seen how tight that race actually was, 183 00:10:56,600 --> 00:10:59,000 Speaker 1: he would have been able to raise more money. Yeah, 184 00:10:59,600 --> 00:11:03,160 Speaker 1: I mean it was one. I mean, I'm just saying, like, 185 00:11:03,200 --> 00:11:06,000 Speaker 1: if you saw it like that Lauren Boeberd race, like 186 00:11:06,160 --> 00:11:09,640 Speaker 1: she won by seven hundred and sixties seven votes. I 187 00:11:09,760 --> 00:11:12,800 Speaker 1: had that guy Adam Frosh on the podcast. People are like, oh, 188 00:11:12,840 --> 00:11:15,720 Speaker 1: that's crazy, he'll never win. I mean he was pulling, 189 00:11:15,760 --> 00:11:18,920 Speaker 1: you know, four or five points behind, but honestly he 190 00:11:19,320 --> 00:11:21,840 Speaker 1: could have won. Yeah, four or five points behind income 191 00:11:21,880 --> 00:11:24,040 Speaker 1: but that's you know, that's pretty good. And he had 192 00:11:24,120 --> 00:11:26,640 Speaker 1: some help because then, you know, they kept putting out 193 00:11:26,679 --> 00:11:29,319 Speaker 1: that you know, Michael Bennett could lose, Michael Man could lose, 194 00:11:29,400 --> 00:11:32,280 Speaker 1: or a good friend of him for his campaign, and 195 00:11:32,360 --> 00:11:34,800 Speaker 1: it went out of ten twelve points. And then in 196 00:11:35,120 --> 00:11:38,040 Speaker 1: the margin that Barnes got out of Dane County, which 197 00:11:38,040 --> 00:11:40,360 Speaker 1: is Wisconsin, was I didn't even met with munch pt 198 00:11:40,480 --> 00:11:43,840 Speaker 1: Brievers and he said, staggering, I don't know how how 199 00:11:43,960 --> 00:11:47,280 Speaker 1: we won, and we didn't do that well in Milwaukee. 200 00:11:47,320 --> 00:11:52,640 Speaker 1: One of the more distressing things is the Black Volk 201 00:11:52,760 --> 00:11:56,200 Speaker 1: was not great. It wasn't so it wasn't really great 202 00:11:56,200 --> 00:11:59,679 Speaker 1: in Georgia, and it wasn't great in Milwaukee, and we 203 00:12:00,000 --> 00:12:02,920 Speaker 1: gotta figure way to connect better here, you know. Not 204 00:12:03,080 --> 00:12:05,599 Speaker 1: not the young people did do They held out and 205 00:12:05,679 --> 00:12:08,880 Speaker 1: pretty good. That was surprising. It's sort of the best 206 00:12:08,920 --> 00:12:12,600 Speaker 1: thing ever because young people are ultimately but I feel 207 00:12:12,600 --> 00:12:15,199 Speaker 1: like we are usually disappointed by them, but not this year. 208 00:12:15,480 --> 00:12:17,360 Speaker 1: Well it's been three years in a row. There's three 209 00:12:17,400 --> 00:12:21,440 Speaker 1: cycles in a row. All right. How many stories have 210 00:12:21,559 --> 00:12:26,040 Speaker 1: you read about the two America's rural America, urban America, 211 00:12:26,080 --> 00:12:30,200 Speaker 1: white American, white America. But there really two Americas that 212 00:12:30,320 --> 00:12:34,000 Speaker 1: are emerging that you're more significant anything is young and 213 00:12:34,040 --> 00:12:37,679 Speaker 1: o America, right. I mean, it's really two different universes 214 00:12:37,720 --> 00:12:41,480 Speaker 1: they live in. And you know that that that's one 215 00:12:41,480 --> 00:12:45,680 Speaker 1: of the the good things. So Democrats going forward, the 216 00:12:45,720 --> 00:12:49,240 Speaker 1: young people come up that you know as well. You know, 217 00:12:49,600 --> 00:12:52,160 Speaker 1: when young, if you're young and you're liberally, you have 218 00:12:52,240 --> 00:12:57,920 Speaker 1: no heart. If you're bold and be able here all 219 00:12:57,960 --> 00:13:03,520 Speaker 1: the time, the political sciences. Once you vote twice pretty 220 00:13:03,600 --> 00:13:06,120 Speaker 1: much that's way you can vote the rest of your life, right, 221 00:13:06,760 --> 00:13:11,079 Speaker 1: James Carvell, thank you so much for joining us super 222 00:13:11,880 --> 00:13:15,560 Speaker 1: interesting and really great and I appreciate you joining us 223 00:13:15,559 --> 00:13:25,559 Speaker 1: on a Sunday. Alright, all right, thank you. Ross Morales 224 00:13:25,720 --> 00:13:30,400 Speaker 1: Roquetto is co founder of Run for Something. Welcome Too 225 00:13:30,480 --> 00:13:34,720 Speaker 1: Fast Politics. Ross, thanks for having me. Well, it's very 226 00:13:34,720 --> 00:13:37,360 Speaker 1: exciting you are the co founder of Run for Something. 227 00:13:37,440 --> 00:13:43,200 Speaker 1: Run for Something is one of this podcast favorite organizations. 228 00:13:43,720 --> 00:13:46,160 Speaker 1: Why don't you just tell us a little bit for 229 00:13:46,320 --> 00:13:49,800 Speaker 1: the few people on here who don't know what Run 230 00:13:49,840 --> 00:13:52,800 Speaker 1: for Something does. What Run for Something does? I would 231 00:13:52,840 --> 00:13:55,079 Speaker 1: love to so for those who don't know. Run for 232 00:13:55,240 --> 00:13:59,760 Speaker 1: Something recruits and supports young, diverse, progressive folks who are 233 00:13:59,800 --> 00:14:03,040 Speaker 1: run in for state and local office, usually for the first, 234 00:14:03,040 --> 00:14:06,320 Speaker 1: second or third times. We got our start in the 235 00:14:06,360 --> 00:14:11,439 Speaker 1: aftermath of the sixteen election. My co founder and I, Amanda. 236 00:14:12,200 --> 00:14:15,480 Speaker 1: We're both you know, thinking about right after the election 237 00:14:15,559 --> 00:14:18,679 Speaker 1: how they're just like, wasn't really anything for young people 238 00:14:18,720 --> 00:14:21,400 Speaker 1: who like really wanted to like get involved in their 239 00:14:21,400 --> 00:14:24,520 Speaker 1: communities and run for office. And so we started this 240 00:14:24,560 --> 00:14:27,280 Speaker 1: thing as a side hustle and thought that maybe if 241 00:14:27,320 --> 00:14:29,240 Speaker 1: we were lucky, a hundred people would tell us they 242 00:14:29,240 --> 00:14:32,400 Speaker 1: were interested in running for office. After the first few months, 243 00:14:32,600 --> 00:14:35,200 Speaker 1: we had over five thousand people tell us they were 244 00:14:35,200 --> 00:14:37,760 Speaker 1: interested in running for office, and then as of today, 245 00:14:37,760 --> 00:14:40,920 Speaker 1: we have over a hudd thousand people across the country 246 00:14:40,920 --> 00:14:43,160 Speaker 1: who told us that they want to run for office. 247 00:14:43,280 --> 00:14:46,440 Speaker 1: Amanda and I sort of looked at each other and said, 248 00:14:46,760 --> 00:14:48,480 Speaker 1: we need to do right by these people. So we 249 00:14:48,520 --> 00:14:52,440 Speaker 1: started building an organization. So let's talk about that organization 250 00:14:53,000 --> 00:14:55,120 Speaker 1: and a little bit about some of the candidates you're 251 00:14:55,160 --> 00:14:58,120 Speaker 1: working with. It has just been a big midterm election, 252 00:14:58,160 --> 00:15:00,520 Speaker 1: but that does not mean elections are over. There are 253 00:15:00,520 --> 00:15:04,200 Speaker 1: a lot of special elections and state elections and small elections. 254 00:15:04,520 --> 00:15:06,840 Speaker 1: You want to first take a victory lap about your 255 00:15:07,280 --> 00:15:10,280 Speaker 1: your candidates in the mid terms, Yeah, I would love too. 256 00:15:10,720 --> 00:15:14,000 Speaker 1: So we had four hundred ninety candidates who had elections 257 00:15:14,240 --> 00:15:19,720 Speaker 1: on in November. Of those folks, two hundred and thirty 258 00:15:19,840 --> 00:15:22,120 Speaker 1: for sure have won their elections, and we have another 259 00:15:22,240 --> 00:15:25,200 Speaker 1: ninety people who are waiting to call their races. You know, 260 00:15:25,280 --> 00:15:29,120 Speaker 1: that's like mostly West coast California, Oregon, Washington State, those 261 00:15:29,160 --> 00:15:31,280 Speaker 1: places where some of the votes get talied a little 262 00:15:31,280 --> 00:15:35,040 Speaker 1: bit slower. So we're really really excited. Over fifty of 263 00:15:35,040 --> 00:15:38,200 Speaker 1: those candidates are women. I think actually about sixty percent 264 00:15:38,280 --> 00:15:43,120 Speaker 1: of them or women over people of color over l 265 00:15:43,160 --> 00:15:45,280 Speaker 1: G B, t q I A plus, and so we're 266 00:15:45,320 --> 00:15:49,000 Speaker 1: just honestly, really really excited. This was easily our best 267 00:15:49,080 --> 00:15:51,640 Speaker 1: year that we've ever had in terms of win rate, 268 00:15:51,840 --> 00:15:53,800 Speaker 1: and we're really really excited to see all the new 269 00:15:53,840 --> 00:15:56,960 Speaker 1: incredible people who just literally got elected. So just tell 270 00:15:57,040 --> 00:16:00,000 Speaker 1: us about one of them, Like, give us, give us 271 00:16:00,040 --> 00:16:02,400 Speaker 1: a scene of one of the candidates who came to 272 00:16:02,440 --> 00:16:04,880 Speaker 1: you and what they've achieved. There was a woman named 273 00:16:04,880 --> 00:16:10,080 Speaker 1: Amanda Gonzalez who was running for Jefferson County Clerk out 274 00:16:10,120 --> 00:16:13,040 Speaker 1: in Colorado. So that's like the suburbs of Denver. It's 275 00:16:13,080 --> 00:16:16,480 Speaker 1: like a swing county has sort of like trended a 276 00:16:16,480 --> 00:16:19,600 Speaker 1: little bit bluer over the years, but was traditionally a 277 00:16:19,680 --> 00:16:23,000 Speaker 1: red county over the last sort of twenty or thirty. 278 00:16:23,200 --> 00:16:26,960 Speaker 1: She's incredible. She has been involved in sort of like 279 00:16:27,000 --> 00:16:30,440 Speaker 1: state policymaking, either as a lawyer or on the advocacy 280 00:16:30,520 --> 00:16:33,440 Speaker 1: side for years. She is one of the people who 281 00:16:33,440 --> 00:16:36,640 Speaker 1: actually helped write a lot of like the campaign ethics 282 00:16:36,720 --> 00:16:40,040 Speaker 1: rules in the state of Colorado. She helped sort of 283 00:16:40,040 --> 00:16:42,880 Speaker 1: like reform the voting system there when they moved over 284 00:16:43,000 --> 00:16:46,800 Speaker 1: to having like a more vote by male dominated system. 285 00:16:46,880 --> 00:16:49,440 Speaker 1: She was trying to recruit someone to run for this 286 00:16:49,600 --> 00:16:52,560 Speaker 1: office because there was an election denier like running on 287 00:16:52,600 --> 00:16:56,160 Speaker 1: the Republican side. She wasn't having very much luck finding anyone. 288 00:16:56,360 --> 00:16:59,120 Speaker 1: And then somewhere along the way she was she realized 289 00:16:59,120 --> 00:17:01,600 Speaker 1: that like no one else did it, it needed to 290 00:17:01,600 --> 00:17:03,760 Speaker 1: be her. So she stepped up and did it. She 291 00:17:03,880 --> 00:17:06,119 Speaker 1: just won her race, and you know, she's going to 292 00:17:06,200 --> 00:17:11,000 Speaker 1: be running the elections for and a really critical part 293 00:17:11,119 --> 00:17:13,880 Speaker 1: of the state of Colorado. You know, it's interesting that 294 00:17:14,200 --> 00:17:16,760 Speaker 1: I used to go to events that the Arena Summit had. 295 00:17:16,880 --> 00:17:20,480 Speaker 1: I actually think that's when I first learned about run 296 00:17:20,520 --> 00:17:22,720 Speaker 1: for something. And one of the things they would say 297 00:17:22,760 --> 00:17:25,760 Speaker 1: was that women need to be told to run for 298 00:17:25,880 --> 00:17:29,679 Speaker 1: office many more times than men. Yeah, that's unfortunately true. 299 00:17:29,880 --> 00:17:32,879 Speaker 1: It's especially true for women. It's especially true for women 300 00:17:32,880 --> 00:17:35,840 Speaker 1: of color. It's generally also true for people of color. 301 00:17:36,040 --> 00:17:39,520 Speaker 1: I talked to so many people who tell me that 302 00:17:39,680 --> 00:17:42,159 Speaker 1: they've thought about running for office at some point, but 303 00:17:42,240 --> 00:17:44,440 Speaker 1: you know, then they thought about sort of like who 304 00:17:44,560 --> 00:17:46,800 Speaker 1: are the people in elected office, and they're like, well, 305 00:17:46,840 --> 00:17:50,359 Speaker 1: that's not me, Like I'm just like that I can't run. 306 00:17:50,400 --> 00:17:53,040 Speaker 1: And the truth is that anyone can run, and anyone 307 00:17:53,560 --> 00:17:55,920 Speaker 1: really should be able to run, and so part of 308 00:17:55,960 --> 00:17:58,080 Speaker 1: you know, like what the mission of the organization does 309 00:17:58,119 --> 00:18:00,359 Speaker 1: and what we're really trying hard to do is make 310 00:18:00,400 --> 00:18:03,840 Speaker 1: sure people can see themselves and their elected officials. You know. 311 00:18:03,960 --> 00:18:06,680 Speaker 1: One of the things I was thinking about this weekend 312 00:18:07,119 --> 00:18:11,160 Speaker 1: was Nancy Pelosi. And I think about this because I 313 00:18:11,240 --> 00:18:15,040 Speaker 1: am a mother of many children. I had a sort 314 00:18:15,040 --> 00:18:18,520 Speaker 1: of stint staying at home with them. And Nancy Pelosi 315 00:18:18,640 --> 00:18:22,800 Speaker 1: ran for Congress for the first time. I mean, obviously 316 00:18:22,840 --> 00:18:25,679 Speaker 1: she came from very political families, so she had an advantage, 317 00:18:25,720 --> 00:18:27,879 Speaker 1: But I say, this is someone who came from a 318 00:18:28,000 --> 00:18:31,520 Speaker 1: family where I had an advantage, but she was forty seven. 319 00:18:31,640 --> 00:18:34,240 Speaker 1: I think, like, you know, we're we're trying to be 320 00:18:34,720 --> 00:18:36,520 Speaker 1: right now. And I think that is also just like 321 00:18:36,640 --> 00:18:41,000 Speaker 1: especially true of like our system generally is like I think, 322 00:18:41,119 --> 00:18:44,560 Speaker 1: young people, so that includes millennials and gen z you know, 323 00:18:44,800 --> 00:18:50,520 Speaker 1: represent like fewer than of the state legislative like offices 324 00:18:50,600 --> 00:18:54,200 Speaker 1: and seats across the country. That representation goes down even 325 00:18:54,240 --> 00:18:56,440 Speaker 1: further when you start to really look at the state 326 00:18:56,440 --> 00:18:59,400 Speaker 1: and local level numbers. I mean, I just mean, like 327 00:18:59,640 --> 00:19:02,919 Speaker 1: they're are women who have spent all this time raising 328 00:19:03,000 --> 00:19:05,880 Speaker 1: kids who could conceivably run for you know what I mean, 329 00:19:05,960 --> 00:19:09,119 Speaker 1: like where they could go back and start another career, 330 00:19:09,480 --> 00:19:12,640 Speaker 1: you know, you know what I mean, Judges, nurses, I mean, 331 00:19:12,720 --> 00:19:15,720 Speaker 1: I think of Lauren Underwood, who was a nurse, you 332 00:19:15,760 --> 00:19:17,800 Speaker 1: know what I mean, where they can go on to 333 00:19:17,880 --> 00:19:20,800 Speaker 1: do other stuff later in life too, and they absolutely should. 334 00:19:21,000 --> 00:19:25,400 Speaker 1: I think, like the only real prerequisites that we have, 335 00:19:25,680 --> 00:19:28,240 Speaker 1: especially for a lot of these like local offices, is 336 00:19:28,280 --> 00:19:31,520 Speaker 1: that one you care a lot about your community, and 337 00:19:31,600 --> 00:19:33,760 Speaker 1: two you have a problem that you really want to solve. 338 00:19:34,000 --> 00:19:36,720 Speaker 1: And honestly, that's what kept me going during the Trump 339 00:19:36,800 --> 00:19:40,640 Speaker 1: years was getting to see on a regular basis these 340 00:19:40,720 --> 00:19:43,960 Speaker 1: hundreds of people who identified a problem in their community, 341 00:19:44,440 --> 00:19:47,080 Speaker 1: who care a lot and decided to step up in 342 00:19:47,119 --> 00:19:49,280 Speaker 1: a lot of cases because they didn't feel like anyone 343 00:19:49,320 --> 00:19:53,119 Speaker 1: else would. And so, yeah, Lauren Underwood's incredible. You know, 344 00:19:53,280 --> 00:19:55,920 Speaker 1: we don't do congressional races, but we talked to her 345 00:19:55,920 --> 00:19:58,159 Speaker 1: really early on and her when she started running her 346 00:19:58,160 --> 00:20:01,080 Speaker 1: first campaign, and there's just like so many other people 347 00:20:01,160 --> 00:20:04,080 Speaker 1: like her out there who like are just getting started 348 00:20:04,160 --> 00:20:07,160 Speaker 1: right now. Yeah, that's what I was thinking about. So 349 00:20:07,320 --> 00:20:09,600 Speaker 1: tell me about some of this sort of off the 350 00:20:09,760 --> 00:20:13,199 Speaker 1: radar races that are coming up soon and if you 351 00:20:13,280 --> 00:20:17,080 Speaker 1: have any candidates there. We decided to focus really explicitly 352 00:20:17,600 --> 00:20:21,080 Speaker 1: on even more local races about a year ago when 353 00:20:21,119 --> 00:20:23,520 Speaker 1: we were sort of going through our planning process to 354 00:20:24,040 --> 00:20:28,199 Speaker 1: like offices that we really targeted were school boards and 355 00:20:28,240 --> 00:20:33,280 Speaker 1: there's about ten thousand school board elections next yearly and 356 00:20:33,320 --> 00:20:36,760 Speaker 1: then also election election administrators. So these are the people 357 00:20:37,000 --> 00:20:40,080 Speaker 1: like county clerks like Amanda Gonzalz who was talking about, 358 00:20:40,600 --> 00:20:44,760 Speaker 1: who are responsible for things like making sure there's enough 359 00:20:44,800 --> 00:20:49,320 Speaker 1: polling locations, setting the hours of polling locations, deciding where 360 00:20:49,680 --> 00:20:53,000 Speaker 1: drop boxes get placed, making sure that elections are run 361 00:20:53,200 --> 00:20:57,040 Speaker 1: in a fair way, making sure there's accessibility options for 362 00:20:57,080 --> 00:20:59,520 Speaker 1: folks going to the polls. You know, these are really 363 00:20:59,560 --> 00:21:03,199 Speaker 1: really critical elections that in there that are coming up 364 00:21:03,200 --> 00:21:07,240 Speaker 1: both in and and you know, we really need good 365 00:21:07,240 --> 00:21:09,760 Speaker 1: people to be running for these especially because we have 366 00:21:10,000 --> 00:21:13,480 Speaker 1: and we've seen, you know, on the far right, conspiracy 367 00:21:13,520 --> 00:21:17,119 Speaker 1: theorists deciding to step up and run people who believe 368 00:21:17,480 --> 00:21:20,200 Speaker 1: that Donald Trump won the election, then that the election 369 00:21:20,240 --> 00:21:22,440 Speaker 1: was stolen. We've had a lot of those folks running 370 00:21:22,480 --> 00:21:25,280 Speaker 1: for these offices. We started to see that in two 371 00:21:25,640 --> 00:21:28,159 Speaker 1: and so it's even more critical to make sure that 372 00:21:28,200 --> 00:21:30,879 Speaker 1: we're getting folks recruited to run for these offices as 373 00:21:30,920 --> 00:21:35,440 Speaker 1: well as we go into well. And I also think 374 00:21:35,760 --> 00:21:38,320 Speaker 1: that you're seeing a lot of people like lips of 375 00:21:38,359 --> 00:21:42,040 Speaker 1: TikTok right who are targeting these school boards in the 376 00:21:42,119 --> 00:21:45,800 Speaker 1: hopes of removing you know, the kind of people like 377 00:21:45,920 --> 00:21:48,439 Speaker 1: lives of TikTok people who are trying to you know, 378 00:21:48,680 --> 00:21:51,280 Speaker 1: sort of build off of Ron de santisis don't say 379 00:21:51,359 --> 00:21:54,080 Speaker 1: gay law right, who are trying to keep children from 380 00:21:54,160 --> 00:21:58,080 Speaker 1: being able to you know, read books about same sex parents. 381 00:21:58,160 --> 00:22:02,120 Speaker 1: And they're on this sort of book banning not teaching 382 00:22:02,160 --> 00:22:06,560 Speaker 1: SIXI bandwagon and so that is pretty scary. I feel 383 00:22:06,600 --> 00:22:11,000 Speaker 1: like it's really terrifying. And you know, here's the good news, 384 00:22:11,000 --> 00:22:14,240 Speaker 1: Like we had candidates running against conspiracy theorists at the 385 00:22:14,280 --> 00:22:19,399 Speaker 1: school board, a level election, administrator, city council, etcetera. And 386 00:22:19,640 --> 00:22:22,600 Speaker 1: a trend that we did see is that, you know, 387 00:22:22,800 --> 00:22:24,480 Speaker 1: in a lot of these places we were able to 388 00:22:24,520 --> 00:22:27,399 Speaker 1: beat them. Um. I think the round Rock school Board 389 00:22:27,720 --> 00:22:29,840 Speaker 1: is a really good example. So round Rock is a 390 00:22:29,880 --> 00:22:33,280 Speaker 1: suburb just outside of Austin, Texas that has traditionally been 391 00:22:33,320 --> 00:22:35,320 Speaker 1: read and has like trended a little bit more purple 392 00:22:35,400 --> 00:22:37,800 Speaker 1: over the years. You know, like the Moms for Liberty 393 00:22:37,840 --> 00:22:40,640 Speaker 1: folks like really invested there. I think they lost all, 394 00:22:40,960 --> 00:22:43,720 Speaker 1: if not all, of those races. Can you explain what 395 00:22:43,800 --> 00:22:46,920 Speaker 1: Moms for Liberty is for those for the few of 396 00:22:47,000 --> 00:22:52,920 Speaker 1: us who have lives and to dwell where we dwell. 397 00:22:53,320 --> 00:22:56,280 Speaker 1: You know, Yeah, the Moms for Liberty folks are part 398 00:22:56,320 --> 00:23:01,080 Speaker 1: of a broader movement of like anti critical race theory folks, 399 00:23:01,080 --> 00:23:04,320 Speaker 1: while it started as anti critical race theory folks who 400 00:23:04,320 --> 00:23:07,040 Speaker 1: are basically recruiting candidates to run at the school board level, 401 00:23:07,240 --> 00:23:09,679 Speaker 1: and they're specifically recruiting them to run at the school 402 00:23:09,680 --> 00:23:12,640 Speaker 1: board level around a lot of the cultural issues you've 403 00:23:12,640 --> 00:23:17,240 Speaker 1: seem like mass policies, critical race theory, some of the 404 00:23:17,280 --> 00:23:20,120 Speaker 1: stuff that you talked about a little bit in your question. 405 00:23:20,200 --> 00:23:23,240 Speaker 1: But also like you know, we've seen folks go so far, 406 00:23:23,320 --> 00:23:25,640 Speaker 1: as you know, like to try to get suicide prevention 407 00:23:25,720 --> 00:23:29,960 Speaker 1: counselors outside of or out of schools because under sort 408 00:23:29,960 --> 00:23:33,760 Speaker 1: of the idea that a suicide prevention counselor being in 409 00:23:33,800 --> 00:23:36,960 Speaker 1: the school encourages kids to commit suicide, which is just 410 00:23:37,280 --> 00:23:41,240 Speaker 1: so they're pretty stupid that is the craziest thing I've 411 00:23:41,280 --> 00:23:44,000 Speaker 1: ever heard. Yeah, like all sorts of anti science and 412 00:23:44,000 --> 00:23:46,399 Speaker 1: they sort of do it under this sort under the 413 00:23:46,800 --> 00:23:51,000 Speaker 1: mantra of parental choice, and you know, like that's the 414 00:23:51,080 --> 00:23:54,440 Speaker 1: message that they try to use. And you know, this cycle, 415 00:23:55,160 --> 00:23:57,440 Speaker 1: you know, we saw we saw those folks get really 416 00:23:57,560 --> 00:24:00,560 Speaker 1: organized in Virginia and the Virginia governor is race back 417 00:24:01,720 --> 00:24:04,600 Speaker 1: and use like these cultural issues around school as a 418 00:24:04,600 --> 00:24:07,439 Speaker 1: wedge to turn out, like to get higher turnout for 419 00:24:07,440 --> 00:24:10,680 Speaker 1: far right candidates. This election cycle, it didn't work as 420 00:24:10,720 --> 00:24:13,080 Speaker 1: well for them. So like in places like Round Rock, 421 00:24:13,480 --> 00:24:16,359 Speaker 1: most if not all, of those anti cr Team Moms 422 00:24:16,400 --> 00:24:19,360 Speaker 1: or liberty candidates ended up losing. We saw that sort 423 00:24:19,400 --> 00:24:23,240 Speaker 1: of replicated in other races around the country, even in 424 00:24:23,440 --> 00:24:26,879 Speaker 1: you know, for the election administration roles that we worked in. 425 00:24:27,160 --> 00:24:30,480 Speaker 1: You know, we had thirteen specific places where that we're 426 00:24:30,560 --> 00:24:33,680 Speaker 1: highly targeted, We're spending a lot of time and resources 427 00:24:34,000 --> 00:24:36,200 Speaker 1: where we had a candidate that was recruited and they 428 00:24:36,200 --> 00:24:40,320 Speaker 1: were running against somebody who was an election denier. Of 429 00:24:40,359 --> 00:24:43,720 Speaker 1: those thirteen races, ten of our folks one. It's still 430 00:24:43,760 --> 00:24:46,119 Speaker 1: scary that three of them, you know that there are 431 00:24:46,320 --> 00:24:48,760 Speaker 1: three of them that lost but you know, I think 432 00:24:48,760 --> 00:24:51,400 Speaker 1: the thing that keeps me up at night around all 433 00:24:51,440 --> 00:24:54,479 Speaker 1: of this stuff isn't about whether, you know, we have 434 00:24:54,760 --> 00:24:58,040 Speaker 1: conspiracy theorists on the ballot. It's whether those people are 435 00:24:58,080 --> 00:25:01,320 Speaker 1: going uncontested. And I feel, you know, as an organization 436 00:25:01,400 --> 00:25:04,080 Speaker 1: and just like as a person who's done this work 437 00:25:04,119 --> 00:25:06,919 Speaker 1: for a long time, like I feel confident that we 438 00:25:06,960 --> 00:25:09,240 Speaker 1: can beat most of the people who are running. The 439 00:25:09,359 --> 00:25:12,240 Speaker 1: problem is there are thousands of these races all over 440 00:25:12,280 --> 00:25:16,080 Speaker 1: the country. Um, where we've got these folks who are 441 00:25:16,080 --> 00:25:18,840 Speaker 1: stepping up to run, and if we don't challenge them, 442 00:25:19,280 --> 00:25:21,320 Speaker 1: then they're gonna then they're definitely going to get on 443 00:25:21,359 --> 00:25:23,960 Speaker 1: the ballot and get elected. And the right is much 444 00:25:24,000 --> 00:25:27,520 Speaker 1: further along in terms of building out state and local 445 00:25:27,840 --> 00:25:31,120 Speaker 1: political power than we are on the left. I would say, like, 446 00:25:31,200 --> 00:25:33,439 Speaker 1: you know, the way that we've described in the past 447 00:25:33,560 --> 00:25:35,840 Speaker 1: is they're on your forty of a forty year plan. 448 00:25:36,760 --> 00:25:39,080 Speaker 1: On the left, we're on year six of a forty 449 00:25:39,119 --> 00:25:42,680 Speaker 1: year plan. So we're doing the work, but it's hard. Yeah, 450 00:25:43,200 --> 00:25:46,800 Speaker 1: I mean, that's like the Supreme Court, right exactly. I mean, 451 00:25:46,840 --> 00:25:49,359 Speaker 1: that's what we've seen with the Supreme Court. Tell me 452 00:25:49,400 --> 00:25:53,000 Speaker 1: a little bit about sort of what people are listening 453 00:25:53,119 --> 00:25:56,400 Speaker 1: to this how they could support this sort of work 454 00:25:56,440 --> 00:25:59,119 Speaker 1: you're doing. I love this question. The first thing is 455 00:25:59,480 --> 00:26:02,320 Speaker 1: you can think about running for office. If you go 456 00:26:02,400 --> 00:26:04,920 Speaker 1: to run for what dot net, you can look up, 457 00:26:04,960 --> 00:26:07,080 Speaker 1: you can fill out the form and you can look 458 00:26:07,160 --> 00:26:09,840 Speaker 1: up what offices are available to run for in your 459 00:26:09,920 --> 00:26:12,800 Speaker 1: local community. You can also go to run for something's 460 00:26:12,840 --> 00:26:15,919 Speaker 1: website and volunteer. One of the really fun things that 461 00:26:15,960 --> 00:26:18,000 Speaker 1: we do that a lot of people really enjoy is 462 00:26:18,200 --> 00:26:21,320 Speaker 1: we train volunteers to actually do one on ones with 463 00:26:21,560 --> 00:26:24,200 Speaker 1: people who tell us that they're interested in running for office. 464 00:26:24,200 --> 00:26:26,040 Speaker 1: So anyone who tells us they're interested in running for 465 00:26:26,119 --> 00:26:28,960 Speaker 1: office will get a one on one with a train volunteers. 466 00:26:28,960 --> 00:26:30,840 Speaker 1: So we train volunteers to do that, and it's like 467 00:26:30,840 --> 00:26:34,040 Speaker 1: a really inspiring way to get involved. We also have 468 00:26:34,080 --> 00:26:37,080 Speaker 1: opportunities to get involved directly with our candidates. The last 469 00:26:37,080 --> 00:26:39,120 Speaker 1: thing I'd say is you can also, you know, make 470 00:26:39,119 --> 00:26:43,240 Speaker 1: a contribution, makeer occurring contribution. The work is expensive and difficult, 471 00:26:43,440 --> 00:26:45,280 Speaker 1: and you know you can go to run for something 472 00:26:45,320 --> 00:26:48,160 Speaker 1: dot net slash build for that. Thank you so much, 473 00:26:48,280 --> 00:26:52,360 Speaker 1: so interesting and also so important. Thank you so much 474 00:26:52,359 --> 00:26:54,560 Speaker 1: for having me. I love all your work. You're doing that, 475 00:26:54,720 --> 00:26:56,760 Speaker 1: You're you're really doing the Lord's work, and I really 476 00:26:56,760 --> 00:27:03,800 Speaker 1: really appreciate you having Dr Mark Roscoe Loustau is an 477 00:27:03,840 --> 00:27:08,159 Speaker 1: expert on Eastern European religion in politics and author of 478 00:27:08,800 --> 00:27:16,680 Speaker 1: Hungarian Catholic Intellectuals and Contemporary Romania. Welcome to Fast Politics, 479 00:27:16,760 --> 00:27:19,440 Speaker 1: Mark Lusto. It's good to be here. So we are 480 00:27:19,840 --> 00:27:22,359 Speaker 1: very excited to have you here. You are an academic, 481 00:27:22,400 --> 00:27:26,280 Speaker 1: but we occasionally we do have academics, not all that often, 482 00:27:26,320 --> 00:27:30,440 Speaker 1: but sometimes, but you know that we do. Jesse, don't wait, 483 00:27:30,640 --> 00:27:33,200 Speaker 1: we sure do, We sure do. Okay, good. What you're 484 00:27:33,200 --> 00:27:34,879 Speaker 1: going to talk to us a little bit about is 485 00:27:35,200 --> 00:27:40,639 Speaker 1: this sort of rise in authoritarianism and where this comes 486 00:27:40,720 --> 00:27:46,000 Speaker 1: from in Hungary and in Romania and and sort of 487 00:27:46,000 --> 00:27:48,040 Speaker 1: in that area. So talk to us a little bit 488 00:27:48,080 --> 00:27:50,640 Speaker 1: about how you got involved in this. First. I first 489 00:27:50,720 --> 00:27:53,359 Speaker 1: visited Hungary in two thousand five, and then I moved 490 00:27:53,400 --> 00:27:56,520 Speaker 1: there in two thousand nine, and that was all before 491 00:27:56,840 --> 00:28:01,959 Speaker 1: the rise of autocracy, before Victor Ordubon, Hungary's current right 492 00:28:02,000 --> 00:28:04,280 Speaker 1: wing prime minister, was elected. He was elected in his 493 00:28:04,280 --> 00:28:06,159 Speaker 1: two thousand and ten and so I kind of have 494 00:28:06,320 --> 00:28:10,080 Speaker 1: seen Hungary before and after and I lived there for 495 00:28:10,160 --> 00:28:12,440 Speaker 1: three and a half years from two thousand nine until 496 00:28:12,480 --> 00:28:14,520 Speaker 1: two thousand thirteen, and then I've been back a bunch 497 00:28:14,520 --> 00:28:17,280 Speaker 1: of times since then and then have written articles and 498 00:28:17,320 --> 00:28:21,520 Speaker 1: books about the situation there, and you know, it's become 499 00:28:21,680 --> 00:28:24,320 Speaker 1: something of a fascination for me, as much as fascism 500 00:28:24,359 --> 00:28:27,760 Speaker 1: can be a fascination. It is. So I want you 501 00:28:27,800 --> 00:28:30,440 Speaker 1: to talk a little bit about because Victor Orban is 502 00:28:30,480 --> 00:28:34,760 Speaker 1: not just your fascination, he's also Tucker Carlson's fascination. So 503 00:28:34,920 --> 00:28:37,119 Speaker 1: explained to us a little bit about what it was 504 00:28:37,200 --> 00:28:42,960 Speaker 1: like living in Hungary before Orban. In Budapest, which is Hungary's, 505 00:28:43,080 --> 00:28:46,520 Speaker 1: you know, main capital city, it was a diverse place 506 00:28:46,600 --> 00:28:50,959 Speaker 1: with lots of exciting culture going on, really kind of 507 00:28:51,000 --> 00:28:57,440 Speaker 1: cutting edge, are yes, exactly exactly, and you know, under 508 00:28:58,440 --> 00:29:01,200 Speaker 1: under order Bon life has changed a lot. I mean, 509 00:29:01,240 --> 00:29:04,000 Speaker 1: I was in a queer club in Budapest when I 510 00:29:04,000 --> 00:29:06,920 Speaker 1: got raided by the police during this was in the 511 00:29:06,920 --> 00:29:10,560 Speaker 1: early days of Ordubon's regime, and you know that was 512 00:29:10,600 --> 00:29:14,720 Speaker 1: really just the harbinger of real kind of concerted, government funded, 513 00:29:15,040 --> 00:29:19,800 Speaker 1: government enforced effort to kill diverse culture in that country 514 00:29:19,840 --> 00:29:23,040 Speaker 1: before this election, Like what were this sort of I mean, 515 00:29:23,160 --> 00:29:27,000 Speaker 1: the kind of mechanics of life in Hungary. There's always 516 00:29:27,000 --> 00:29:29,040 Speaker 1: a lot of talk about like this sort of how 517 00:29:29,400 --> 00:29:33,880 Speaker 1: Germany elected Hitler? Right, was there inflation? What was this 518 00:29:33,960 --> 00:29:38,600 Speaker 1: sort of economic landscape? I mean, why why would a 519 00:29:38,640 --> 00:29:41,960 Speaker 1: country that's sort of a normal European country elect someone 520 00:29:42,040 --> 00:29:44,520 Speaker 1: like this or did they not know what they were electing? 521 00:29:44,800 --> 00:29:46,840 Speaker 1: There are a lot of causes and effects, right, and 522 00:29:46,840 --> 00:29:49,480 Speaker 1: it's hard to like single out one thing like inflation 523 00:29:49,880 --> 00:29:53,720 Speaker 1: or you know, economic downturns. And certainly he was elected 524 00:29:54,040 --> 00:29:56,800 Speaker 1: in the aftermath of the two thousand eight financial crisis, 525 00:29:57,040 --> 00:29:59,320 Speaker 1: and that was certainly, you know, a major impact. And 526 00:29:59,480 --> 00:30:02,360 Speaker 1: there's also of like political and economic factors that you 527 00:30:02,400 --> 00:30:06,479 Speaker 1: can trace that led to Ordubon coming into power and 528 00:30:06,480 --> 00:30:08,720 Speaker 1: and when he did, you know, he came into power 529 00:30:08,760 --> 00:30:11,920 Speaker 1: in like a landslide election, you know, the the left 530 00:30:11,960 --> 00:30:15,240 Speaker 1: wing lost, and they lost big time. In two thousand ten, 531 00:30:15,520 --> 00:30:18,600 Speaker 1: he won a supermajority in parliament, more than two thirds, 532 00:30:18,600 --> 00:30:21,960 Speaker 1: and that allowed his party to pass whatever legislation it 533 00:30:22,120 --> 00:30:25,080 Speaker 1: wanted to and really just as importantly, to change the 534 00:30:25,080 --> 00:30:28,760 Speaker 1: country's constitution. And they've done that a multiple times since then. 535 00:30:28,840 --> 00:30:31,400 Speaker 1: He's been in power, and he holds a lock grip 536 00:30:31,520 --> 00:30:34,080 Speaker 1: on his right wing party. The party is called FEEDES 537 00:30:34,200 --> 00:30:37,120 Speaker 1: that stands for Young Democrats, But I think the Democrats 538 00:30:37,160 --> 00:30:40,600 Speaker 1: really should be in quotation marks. They all vote exactly 539 00:30:40,600 --> 00:30:44,160 Speaker 1: how Victor Ordubon tells them to um and slowly and systematically. 540 00:30:44,240 --> 00:30:46,720 Speaker 1: Since two thousand and ten, he's taken over all the 541 00:30:46,760 --> 00:30:50,520 Speaker 1: institutions of the country. He's installed loyal party hacks in 542 00:30:50,680 --> 00:30:53,400 Speaker 1: every position of power that you can imagine. It's it's basically, 543 00:30:53,600 --> 00:30:56,520 Speaker 1: you know, the death of democracy by a thousand little takeovers, 544 00:30:56,560 --> 00:30:59,040 Speaker 1: a little bit like what Trump had hoped to do 545 00:30:59,200 --> 00:31:02,320 Speaker 1: with the loyal US and even in the two elections 546 00:31:02,320 --> 00:31:06,200 Speaker 1: where he tried to install these secretaries of state who 547 00:31:06,240 --> 00:31:10,320 Speaker 1: were his people, his hacks. Yeah, yeah, absolutely. I mean 548 00:31:10,960 --> 00:31:14,280 Speaker 1: Victor Ordubon is basically Donald Trump. If Donald Trump had 549 00:31:14,360 --> 00:31:18,320 Speaker 1: an attention span longer than my chihuahua. You know, he's disciplined, 550 00:31:18,720 --> 00:31:22,160 Speaker 1: he rarely makes mistakes, and Ordubon he learns from them, 551 00:31:22,200 --> 00:31:25,479 Speaker 1: which is really you know, the mistakes that he has made, like, 552 00:31:25,520 --> 00:31:27,520 Speaker 1: for instance, he tried to pass a law that would 553 00:31:27,520 --> 00:31:30,480 Speaker 1: make it illegal to open your grocery store on Sundays 554 00:31:30,680 --> 00:31:32,960 Speaker 1: to try to kind of enforce a Sunday Sabbath and 555 00:31:33,040 --> 00:31:35,280 Speaker 1: nobody liked that, and so he gave in on that, 556 00:31:35,400 --> 00:31:37,880 Speaker 1: and he learned from his mistakes and he gave in. 557 00:31:38,160 --> 00:31:41,320 Speaker 1: And that's that's what makes what about truly truly terrifying, 558 00:31:41,400 --> 00:31:43,800 Speaker 1: is that he's able to change tactics to stay in 559 00:31:43,840 --> 00:31:45,680 Speaker 1: power and does not look like he's going to leave 560 00:31:45,720 --> 00:31:50,000 Speaker 1: power anytime. It's so interesting because I've read reporting about 561 00:31:50,040 --> 00:31:53,440 Speaker 1: this that he does do things that are besides being 562 00:31:53,480 --> 00:31:56,520 Speaker 1: an autocrat, he also does things that are populous, right, 563 00:31:56,640 --> 00:31:58,560 Speaker 1: can you talk about that? Yeah, I mean he he 564 00:31:58,680 --> 00:32:01,640 Speaker 1: definitely represents himself as a man of the people. But 565 00:32:01,680 --> 00:32:04,960 Speaker 1: doesn't he pay people to have children and stuff like that? Oh? Yeah, 566 00:32:05,000 --> 00:32:07,680 Speaker 1: paying people to have children is something that a lot 567 00:32:07,720 --> 00:32:11,479 Speaker 1: of European countries do. There's a general, you know sense 568 00:32:11,640 --> 00:32:14,959 Speaker 1: in European countries. You know, they're word about the population decline, 569 00:32:15,000 --> 00:32:18,080 Speaker 1: which is happening all across Europe. It's definitely a policy 570 00:32:18,120 --> 00:32:20,880 Speaker 1: that that's in in France and in Germany and elsewhere 571 00:32:21,000 --> 00:32:24,680 Speaker 1: to uh encourage people to have kids by offering them incentives. 572 00:32:24,840 --> 00:32:29,320 Speaker 1: Were such suckers in America, and I mean, like we 573 00:32:29,360 --> 00:32:31,360 Speaker 1: could all be living in Europe being paid to have 574 00:32:31,480 --> 00:32:35,240 Speaker 1: children and instead but anyway, yes, continue going, yes, sorry, yes, no, no, 575 00:32:35,320 --> 00:32:38,000 Speaker 1: it's true. He's just kind of bumped that up and 576 00:32:38,040 --> 00:32:40,560 Speaker 1: made it kind of a hallmark of his regime that 577 00:32:40,840 --> 00:32:44,440 Speaker 1: Hungary is going to reverse, you know, the European trend 578 00:32:44,480 --> 00:32:47,440 Speaker 1: and be an outlier in Europe by having a growing population. 579 00:32:47,600 --> 00:32:50,720 Speaker 1: The data on that is highly mixed, if not totally 580 00:32:50,880 --> 00:32:54,040 Speaker 1: pointing in the opposite direction about the effectiveness of his policies. 581 00:32:54,200 --> 00:32:56,880 Speaker 1: But you know, that was definitely one of his big 582 00:32:56,920 --> 00:33:00,200 Speaker 1: things coming into power. He not only represents himself was 583 00:33:00,240 --> 00:33:02,480 Speaker 1: like a man of the people, but you know he 584 00:33:02,720 --> 00:33:06,160 Speaker 1: um he has like this this persona, this very almost 585 00:33:06,200 --> 00:33:09,200 Speaker 1: you know, a pugilistic persona. He actually calls himself a 586 00:33:09,240 --> 00:33:12,960 Speaker 1: street fighter sometimes. He's a huge fan of Chuck Norris, 587 00:33:13,360 --> 00:33:15,320 Speaker 1: believe it or not, of all the heroes to have 588 00:33:15,400 --> 00:33:18,120 Speaker 1: from Hollywood, I would have never picked Chuck Norris, but 589 00:33:18,160 --> 00:33:20,200 Speaker 1: he you know, so he really kind of compares himself 590 00:33:20,240 --> 00:33:22,960 Speaker 1: to Chuck Norris and thinks of himself as somebody who's 591 00:33:23,000 --> 00:33:26,400 Speaker 1: kind of fighting the good fight against well, especially against 592 00:33:26,560 --> 00:33:29,680 Speaker 1: liberals and progressives. Jesus. I mean, what were the big 593 00:33:29,760 --> 00:33:33,040 Speaker 1: changes you saw after orban took over. When I was 594 00:33:33,080 --> 00:33:36,560 Speaker 1: in Hungary, I was studying at Central European University, which 595 00:33:36,600 --> 00:33:40,520 Speaker 1: is it was a major, major research institution, one of 596 00:33:40,640 --> 00:33:43,680 Speaker 1: you know, the jewels of the Crown, of of the Hungary, 597 00:33:43,680 --> 00:33:46,520 Speaker 1: of Hungarian intellectual culture. And you know, one of the 598 00:33:46,560 --> 00:33:49,120 Speaker 1: major things that Audubon did is that he passed laws 599 00:33:49,160 --> 00:33:52,800 Speaker 1: that made it impossible for Central European University to stay 600 00:33:52,800 --> 00:33:55,760 Speaker 1: in Hungary. He revoked their accreditation and he forced them 601 00:33:56,040 --> 00:33:58,560 Speaker 1: to leave the country and now it's it's based in Vienna, 602 00:33:58,600 --> 00:34:01,400 Speaker 1: in Austria. He's done that to a number of different 603 00:34:01,720 --> 00:34:04,320 Speaker 1: and geos, a lot of human rights and geos. He's 604 00:34:04,360 --> 00:34:06,720 Speaker 1: forced them to leave the country by passing laws that 605 00:34:06,800 --> 00:34:08,960 Speaker 1: made it impossible for them to do their work. And 606 00:34:08,960 --> 00:34:12,400 Speaker 1: so a lot of the kind of civil society framework 607 00:34:12,440 --> 00:34:17,680 Speaker 1: and institutional networks in Hungary and the educational institutions that 608 00:34:17,719 --> 00:34:20,399 Speaker 1: really kind of work that made Hungry and intellectual leader 609 00:34:20,480 --> 00:34:22,600 Speaker 1: in Europe as a whole. He's done a lot to 610 00:34:22,640 --> 00:34:25,279 Speaker 1: take them over, to dismantle them if you can't take 611 00:34:25,320 --> 00:34:27,920 Speaker 1: them over, and to remake them in its own you know, 612 00:34:27,920 --> 00:34:31,680 Speaker 1: white Christian nationalistic image. Do you see in the day 613 00:34:31,680 --> 00:34:35,600 Speaker 1: to day life and Hungary any of that, Like, for example, 614 00:34:35,840 --> 00:34:39,200 Speaker 1: you could live in Miami and you are being governed 615 00:34:39,239 --> 00:34:42,600 Speaker 1: by Ron de Santis, but life is still pretty much 616 00:34:42,719 --> 00:34:44,680 Speaker 1: the way it is in New York. Did you see 617 00:34:44,680 --> 00:34:48,440 Speaker 1: anything like the raids on gay clubs? I mean, what 618 00:34:48,560 --> 00:34:50,840 Speaker 1: did you see where you were like, wow, we really 619 00:34:50,840 --> 00:34:53,960 Speaker 1: have a different president here. Now, the economics of living 620 00:34:54,000 --> 00:34:57,680 Speaker 1: in Hungary did not change dramatically on a day to 621 00:34:57,760 --> 00:35:00,520 Speaker 1: day basis, right that the stores, the names of the 622 00:35:00,560 --> 00:35:03,520 Speaker 1: stores didn't change, They didn't go anywhere, And that was 623 00:35:03,600 --> 00:35:07,160 Speaker 1: really enabled the way that Ordubon has really engineered this 624 00:35:07,200 --> 00:35:09,760 Speaker 1: as you know, a slow death by a thousand little 625 00:35:09,880 --> 00:35:12,800 Speaker 1: cuts in a thousand little takeovers. So there was nothing 626 00:35:12,880 --> 00:35:16,200 Speaker 1: ever truly dramatic. I guess that's how democracy dies, right, 627 00:35:16,280 --> 00:35:18,359 Speaker 1: is that it dies little by little. The way he 628 00:35:18,440 --> 00:35:22,600 Speaker 1: was able to, you know, engineer this small, long term, 629 00:35:22,840 --> 00:35:26,600 Speaker 1: little by little death of democracy was really because, uh, 630 00:35:26,640 --> 00:35:29,200 Speaker 1: you know, the economics of the of the state didn't change, 631 00:35:29,280 --> 00:35:32,319 Speaker 1: because the EU was sending tons of money there and 632 00:35:32,440 --> 00:35:36,160 Speaker 1: has sent tons of money there throughout his entire regime, 633 00:35:36,400 --> 00:35:39,000 Speaker 1: right exactly, So what do you think there's sort of 634 00:35:39,160 --> 00:35:43,279 Speaker 1: lessons of orbon are as people like Tucker Carlson are 635 00:35:43,280 --> 00:35:45,840 Speaker 1: taking lessons from him on how to be more of 636 00:35:45,880 --> 00:35:49,799 Speaker 1: a successful autocrat. What are the lessons that liberals or 637 00:35:49,840 --> 00:35:53,640 Speaker 1: just people who are pro democracy should take from or 638 00:35:53,680 --> 00:35:57,920 Speaker 1: bon Well, Yes, certainly Hungary is like America's test kitchen 639 00:35:58,000 --> 00:36:02,040 Speaker 1: for far right xenophobia and racism and what have you 640 00:36:02,239 --> 00:36:04,839 Speaker 1: The lessons to learn are you know, to to make 641 00:36:04,880 --> 00:36:08,080 Speaker 1: certain to organize, you know, always at the grassroots level, right, 642 00:36:08,080 --> 00:36:10,560 Speaker 1: I mean, you have to start with making certain that 643 00:36:10,800 --> 00:36:14,319 Speaker 1: people understand on an interpersonal, day to day basis what's 644 00:36:14,320 --> 00:36:17,760 Speaker 1: at stake in having a democracy, especially at the NGO level. 645 00:36:18,000 --> 00:36:22,359 Speaker 1: Explain the NGO what that what that means, because I'm 646 00:36:22,400 --> 00:36:25,560 Speaker 1: aware of angers, but I'm not aware of how meaningful 647 00:36:25,640 --> 00:36:28,279 Speaker 1: the larger migration of them is. So if you could 648 00:36:28,320 --> 00:36:32,319 Speaker 1: explain that the nonprofits in Hungary were you know, primarily 649 00:36:32,680 --> 00:36:36,200 Speaker 1: focused on protecting human rights in the country and making 650 00:36:36,239 --> 00:36:39,239 Speaker 1: certain that the media sector stayed diverse, you know, and 651 00:36:39,280 --> 00:36:42,759 Speaker 1: that that there was an independent media sector not completely 652 00:36:42,760 --> 00:36:46,040 Speaker 1: controlled by the government. Their migration out of the country 653 00:36:46,040 --> 00:36:49,160 Speaker 1: and basically him kicking them out really allowed him to 654 00:36:49,280 --> 00:36:52,840 Speaker 1: take over the entire cultural landscape and make it in 655 00:36:52,920 --> 00:36:56,120 Speaker 1: his own image. So for me, that the research that 656 00:36:56,120 --> 00:36:59,600 Speaker 1: that I've been primarily focused on in my academic work 657 00:36:59,640 --> 00:37:03,360 Speaker 1: is on churches in Hungary. And he's certainly done everything 658 00:37:03,400 --> 00:37:05,560 Speaker 1: he can to make certain that the churches offer no 659 00:37:05,680 --> 00:37:09,200 Speaker 1: opposition to him, right, I mean, ideally churches should be 660 00:37:09,239 --> 00:37:12,479 Speaker 1: a prophetic voice in society. And certainly there have been, 661 00:37:13,000 --> 00:37:16,280 Speaker 1: you know, profits in the past. We've spoken out against 662 00:37:16,360 --> 00:37:19,520 Speaker 1: the communist regime and Hungary profits you know, based in 663 00:37:19,640 --> 00:37:23,360 Speaker 1: Christian values in Christian churches or Dubon has done everything 664 00:37:23,400 --> 00:37:26,600 Speaker 1: he can to buy all the churches and their church leadership. 665 00:37:26,760 --> 00:37:29,440 Speaker 1: He sends them tons of money, both for social service 666 00:37:29,640 --> 00:37:32,279 Speaker 1: work that they do and then also for education. The 667 00:37:32,320 --> 00:37:35,040 Speaker 1: government gives tons of money to churches to run schools. 668 00:37:35,360 --> 00:37:37,840 Speaker 1: Of a friend to journalist Alex Fuludi, he was a 669 00:37:37,920 --> 00:37:40,480 Speaker 1: Hungarian journalist, and his take on this is that it's 670 00:37:40,520 --> 00:37:44,279 Speaker 1: it's definitely political opportunism, and you know his his good 671 00:37:44,280 --> 00:37:46,479 Speaker 1: line about this is is that it's hard to talk 672 00:37:46,520 --> 00:37:49,680 Speaker 1: back when your mouth is full of coins. Right, And 673 00:37:49,760 --> 00:37:52,800 Speaker 1: so you know, the churches are well and fully bought, 674 00:37:52,840 --> 00:37:56,560 Speaker 1: with a few exceptions. What Americans can do is to 675 00:37:56,760 --> 00:37:59,759 Speaker 1: kind of learn about the few churches in Hungary that 676 00:37:59,800 --> 00:38:03,040 Speaker 1: have state independent and that are critical of Ordubon's regime 677 00:38:03,040 --> 00:38:04,920 Speaker 1: and they have suffered a great deal for it, and 678 00:38:05,000 --> 00:38:09,960 Speaker 1: to highlight their work to resist fascism in Hungary. So interesting. 679 00:38:10,200 --> 00:38:13,719 Speaker 1: I'm just curious. Does he allow other religions or is 680 00:38:13,760 --> 00:38:15,920 Speaker 1: he sort of narrowing it down to a sort of 681 00:38:16,000 --> 00:38:20,360 Speaker 1: more Christian kind of religion. Hungary, unlike a lot of 682 00:38:20,400 --> 00:38:24,000 Speaker 1: other European countries, came out of World War Two with 683 00:38:24,160 --> 00:38:26,600 Speaker 1: at least a remnant of a Jewish community. There are 684 00:38:26,680 --> 00:38:31,759 Speaker 1: active synagogues attended by Hungarians in Budapest and and other 685 00:38:31,840 --> 00:38:34,279 Speaker 1: kind of regional cities around Hungary, and they have a 686 00:38:34,920 --> 00:38:38,720 Speaker 1: strong and very prominent kind of organizational leadership that plays 687 00:38:38,840 --> 00:38:42,600 Speaker 1: roles in Hungarian public life and in Hungarian politics. So, 688 00:38:42,760 --> 00:38:46,280 Speaker 1: you know, just recently, this was over the summer, Bordubon 689 00:38:46,600 --> 00:38:50,560 Speaker 1: gave a speech in which he very intentionally and very 690 00:38:50,600 --> 00:38:57,759 Speaker 1: explicitly evoked Nazi language around race and species. He basically 691 00:38:58,000 --> 00:39:01,040 Speaker 1: said that Hungarians don't want to be a mixed species. 692 00:39:01,440 --> 00:39:05,359 Speaker 1: It was awful and horrendous, and he received a huge 693 00:39:05,360 --> 00:39:08,840 Speaker 1: amount of criticism and denunciation all throughout the world, and 694 00:39:09,200 --> 00:39:12,799 Speaker 1: the Hungarian Jewish community leadership requested a meeting with him 695 00:39:12,840 --> 00:39:14,319 Speaker 1: to try to, you know, figure out what the hell 696 00:39:14,400 --> 00:39:16,520 Speaker 1: he was trying to say in that speech. And so 697 00:39:16,760 --> 00:39:20,239 Speaker 1: he plays to the awareness that a lot of international 698 00:39:20,320 --> 00:39:24,399 Speaker 1: organizations have about Hungary's religious diversity and about the fate 699 00:39:24,440 --> 00:39:26,600 Speaker 1: of the Jewish community and Hungary. He has a very 700 00:39:26,600 --> 00:39:29,279 Speaker 1: strong relationship with Benjamin Nitsan, Yahoo used one of the 701 00:39:29,320 --> 00:39:34,200 Speaker 1: first people to congratulate Natanyahuan on his election. So he's 702 00:39:34,239 --> 00:39:38,160 Speaker 1: aware of the diversity of Hungary's religious landscape, even as 703 00:39:38,280 --> 00:39:41,920 Speaker 1: he also, you know, tries to promote the notion that 704 00:39:42,000 --> 00:39:45,640 Speaker 1: Hungary and Hungarian culture has from the get go been 705 00:39:45,800 --> 00:39:50,080 Speaker 1: you know, truly Christian and non waveringly Christian. Basically he 706 00:39:50,719 --> 00:39:56,880 Speaker 1: uses conservative Jews to launder his figo trade. Yeah, not 707 00:39:57,400 --> 00:40:00,759 Speaker 1: so different from Donald Trump in that way. Yes, yeah, 708 00:40:00,800 --> 00:40:02,840 Speaker 1: I mean there's again, this is a playbook, and I 709 00:40:02,880 --> 00:40:06,840 Speaker 1: think Dubon was generating this playbook that Donald Trump probably 710 00:40:06,920 --> 00:40:10,520 Speaker 1: observed and borrowed. There's certainly you know, a certain you 711 00:40:10,560 --> 00:40:13,520 Speaker 1: know Israel washing, right, I think that's the right word, 712 00:40:13,600 --> 00:40:18,120 Speaker 1: is washing. The political opportunism of Ordu Bon's you know, 713 00:40:18,520 --> 00:40:21,000 Speaker 1: turn to Faith, which was really kind of dated to 714 00:40:21,040 --> 00:40:23,360 Speaker 1: two thousand tent He was not a big a tender 715 00:40:23,400 --> 00:40:26,080 Speaker 1: of church if at all he had a secular marriage 716 00:40:26,800 --> 00:40:31,240 Speaker 1: under communism, courthouse marriage, and uh, he didn't really discover 717 00:40:31,400 --> 00:40:35,000 Speaker 1: religion until after his election in two thousand ten. Definitely, 718 00:40:35,080 --> 00:40:37,440 Speaker 1: there's a good argument to make that it is just 719 00:40:37,560 --> 00:40:41,640 Speaker 1: sheer political opportunism and he's trying to eliminate potential opposition 720 00:40:41,680 --> 00:40:43,680 Speaker 1: to his regime. And yet at the same time, I 721 00:40:43,680 --> 00:40:46,360 Speaker 1: think there's also a there's a very smart strategy and 722 00:40:46,400 --> 00:40:48,759 Speaker 1: what he's trying to do to kind of promote what 723 00:40:48,800 --> 00:40:52,280 Speaker 1: he calls Christian values. He's trying to create a culture 724 00:40:52,280 --> 00:40:55,120 Speaker 1: in a whole world that people can live in from 725 00:40:55,160 --> 00:40:58,920 Speaker 1: like cradle to grave, and they can live in institutions 726 00:40:58,960 --> 00:41:01,360 Speaker 1: that all basically say the same thing and all parrot 727 00:41:01,480 --> 00:41:03,759 Speaker 1: his line. And so the sense of of a of 728 00:41:03,800 --> 00:41:10,040 Speaker 1: a totally encompassing society and culture defined by Christian values 729 00:41:10,360 --> 00:41:12,919 Speaker 1: is absolutely at the heart of his program and his goal. 730 00:41:12,960 --> 00:41:14,799 Speaker 1: But he also wants people to think that there's like 731 00:41:14,840 --> 00:41:18,920 Speaker 1: a deep depth and a mystery to Hungarian culture and 732 00:41:19,160 --> 00:41:22,520 Speaker 1: Hungarian Christianity. He wants people to be kind of fascinated 733 00:41:22,920 --> 00:41:27,560 Speaker 1: by the history of Christian deities. Um he really promotes, 734 00:41:27,640 --> 00:41:31,480 Speaker 1: for instance, the Virgin Mary. He sponsors art shows and 735 00:41:31,600 --> 00:41:35,479 Speaker 1: art exhibitions about the art of the Virgin Mary. Yeah. 736 00:41:35,520 --> 00:41:38,480 Speaker 1: Not many people know about her. Yeah, yeah, she didn't. 737 00:41:38,520 --> 00:41:42,240 Speaker 1: She needs to pep. Hungary is really really really really 738 00:41:42,280 --> 00:41:45,560 Speaker 1: really small, right, yes, in the larger and it has 739 00:41:45,600 --> 00:41:48,759 Speaker 1: a very tiny economy. So when Tuckle Carlson gets very 740 00:41:48,800 --> 00:41:51,520 Speaker 1: excited about it, can you just put it in context 741 00:41:51,600 --> 00:41:53,759 Speaker 1: for us? Yeah, I mean he gets excited about it 742 00:41:53,800 --> 00:41:56,319 Speaker 1: because American conservatives think of it as like, you know, 743 00:41:56,480 --> 00:41:58,960 Speaker 1: like I said before, the test kitchen for you know, 744 00:41:59,040 --> 00:42:01,920 Speaker 1: policies that they can implement on a bigger scale. In 745 00:42:02,000 --> 00:42:05,480 Speaker 1: the US. Conservatives like Tucker Carlson also like Rod Dreyer. 746 00:42:05,760 --> 00:42:08,799 Speaker 1: Isn't Rod drey Or have some kind of relations like 747 00:42:09,120 --> 00:42:12,480 Speaker 1: monetary relationship with the government there? Yeah, yeah, so I 748 00:42:12,480 --> 00:42:16,600 Speaker 1: mean all the American conservatives who go there. He's being paid, Yeah, yeah, 749 00:42:16,640 --> 00:42:19,560 Speaker 1: he's He's like a fellow at the Danube Institute, which 750 00:42:19,600 --> 00:42:23,000 Speaker 1: is a government funded research center. And I feel like, 751 00:42:23,000 --> 00:42:25,160 Speaker 1: if you're being paid by the government and then you 752 00:42:25,280 --> 00:42:29,919 Speaker 1: say nice things about said government, that should be disclosed. Yes, 753 00:42:30,000 --> 00:42:33,120 Speaker 1: that should be disclosed. The other thing that makes Dreyer, 754 00:42:33,320 --> 00:42:35,640 Speaker 1: you know, so fascinating is that he's clearly attracted to 755 00:42:35,640 --> 00:42:38,920 Speaker 1: by a certain kind of masculinity and manliness. We cannot 756 00:42:38,920 --> 00:42:42,640 Speaker 1: speculate about a person who's not that famous as love life, 757 00:42:42,680 --> 00:42:46,120 Speaker 1: but yeah, I agree that, Like you know, the conservative 758 00:42:46,239 --> 00:42:50,760 Speaker 1: obsession with this just explained, the economy is quite small, 759 00:42:50,920 --> 00:42:53,000 Speaker 1: yeah it is. It's well, it's a ten million people 760 00:42:53,280 --> 00:42:56,520 Speaker 1: in Hungary proper, probably nine million in change now since 761 00:42:56,520 --> 00:42:59,160 Speaker 1: the last senses, you know, and the EU when it 762 00:42:59,280 --> 00:43:02,799 Speaker 1: said the only reason really why the Hungarian economy is 763 00:43:02,840 --> 00:43:06,480 Speaker 1: functioning right now is because the EU subsidizes it gigantically, 764 00:43:06,600 --> 00:43:08,360 Speaker 1: you know, to the tune of billions and billions and 765 00:43:08,360 --> 00:43:11,000 Speaker 1: billions of dollars. And that's been going on for you know, 766 00:43:11,040 --> 00:43:13,600 Speaker 1: twenty some odd years now, ever since it joined the 767 00:43:13,640 --> 00:43:15,719 Speaker 1: EU in two thousand and four. And so, you know, 768 00:43:15,760 --> 00:43:19,520 Speaker 1: I think the American conservative obsession with Hungary is is 769 00:43:19,560 --> 00:43:23,480 Speaker 1: that they really see it as this you know, miniaturized 770 00:43:23,880 --> 00:43:26,120 Speaker 1: almost like a you know, a football field where they 771 00:43:26,120 --> 00:43:29,000 Speaker 1: can kind of game out, you have a practice session 772 00:43:29,080 --> 00:43:32,280 Speaker 1: for what their policies are going to be going forward. 773 00:43:32,320 --> 00:43:35,640 Speaker 1: And so they before Donald Trump was ever inspiring people 774 00:43:36,040 --> 00:43:39,400 Speaker 1: taunting people into chanting build the wall, Victor Ordubon was 775 00:43:39,440 --> 00:43:42,560 Speaker 1: actually building a real razor wire fence at the border 776 00:43:42,600 --> 00:43:45,080 Speaker 1: with Serbia, right and and you know the same thing. 777 00:43:45,320 --> 00:43:48,080 Speaker 1: You know, I think we should be really closely paying 778 00:43:48,080 --> 00:43:50,839 Speaker 1: attention to what's going on right now in Hungary with 779 00:43:51,160 --> 00:43:54,360 Speaker 1: Victor Ordubon entering into his third term in office, because 780 00:43:54,800 --> 00:43:56,720 Speaker 1: his kind of goal for the third term in office 781 00:43:56,800 --> 00:44:01,840 Speaker 1: is to remilitarize Hungarian society. He wants to found ten 782 00:44:02,160 --> 00:44:06,120 Speaker 1: new military academies in the country. He wants he's created 783 00:44:06,160 --> 00:44:10,440 Speaker 1: a new civilian border guard unit that he calls the 784 00:44:10,480 --> 00:44:14,880 Speaker 1: Border Hunters. You know, their specific goal is to catch 785 00:44:15,239 --> 00:44:17,879 Speaker 1: refugees trying to cross the border. That is their one 786 00:44:17,880 --> 00:44:20,880 Speaker 1: and only purpose. We should be really really scared that 787 00:44:20,960 --> 00:44:25,360 Speaker 1: Republicans are going to start trying to remilitarize American society. 788 00:44:25,560 --> 00:44:30,680 Speaker 1: Republicans are always hitting liberals about being weak on the military, 789 00:44:30,760 --> 00:44:32,920 Speaker 1: and so I you know, I would not be surprised 790 00:44:32,960 --> 00:44:36,600 Speaker 1: if if in the run up to the presidential election 791 00:44:36,640 --> 00:44:40,040 Speaker 1: we heard candidates talk about needing to expand military schools, 792 00:44:40,480 --> 00:44:44,440 Speaker 1: needing to expand military education even further into high schools, 793 00:44:44,440 --> 00:44:47,359 Speaker 1: in public high schools. So I think this very well 794 00:44:47,440 --> 00:44:50,719 Speaker 1: could be the next step in the Republican playbook. If 795 00:44:50,719 --> 00:44:54,000 Speaker 1: they do follow Victor word Bond's lead in this fascinating 796 00:44:54,120 --> 00:44:56,719 Speaker 1: Thank you so much, Marc lu Stowe. I hope you'll 797 00:44:56,719 --> 00:45:00,319 Speaker 1: come back. Thank you so much, Molly. That's it for 798 00:45:00,400 --> 00:45:04,200 Speaker 1: this episode of Fast Politics. Tune in every Monday, Wednesday 799 00:45:04,200 --> 00:45:07,160 Speaker 1: and Friday to your the best minds in politics makes 800 00:45:07,160 --> 00:45:10,479 Speaker 1: sense of all this chaos. If you enjoyed what you've heard, 801 00:45:10,840 --> 00:45:13,760 Speaker 1: please send it to a friend and keep the conversation going. 802 00:45:14,160 --> 00:45:17,400 Speaker 1: And again, thanks for listening. H