1 00:00:00,680 --> 00:00:04,200 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,400 --> 00:00:07,160 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,200 --> 00:00:11,680 Speaker 1: today's best minds, and the Republican Governors Association has withdrawn 4 00:00:11,680 --> 00:00:15,760 Speaker 1: support from Lieutenant Governor Mark Robinson. We have such a 5 00:00:15,760 --> 00:00:20,000 Speaker 1: great show for you today, the focus Groups. Sarah Longwell 6 00:00:20,400 --> 00:00:23,760 Speaker 1: joins us to talk about focus groups. Then we'll talk 7 00:00:23,800 --> 00:00:28,400 Speaker 1: to MSNBC's Paula Ramos about her new book, Defectors, the 8 00:00:28,480 --> 00:00:30,960 Speaker 1: Rise of the Latino far Right and what it means 9 00:00:30,960 --> 00:00:31,840 Speaker 1: for America. 10 00:00:31,920 --> 00:00:33,919 Speaker 2: But first the news. 11 00:00:34,960 --> 00:00:39,400 Speaker 1: Jesse Cannon, I'm going to tell you Republicans desperately need 12 00:00:39,840 --> 00:00:43,680 Speaker 1: to keep these House seats in Long Island and New 13 00:00:43,760 --> 00:00:48,519 Speaker 1: York State Hudson Valley area, and all they want is 14 00:00:48,560 --> 00:00:52,320 Speaker 1: to get these Long Island congressmen re elected. 15 00:00:52,600 --> 00:00:53,279 Speaker 2: And guess what. 16 00:00:53,840 --> 00:00:55,560 Speaker 3: Just broke these days? 17 00:00:55,720 --> 00:00:59,480 Speaker 4: Hearing about a Republican congressman having an affair seems to 18 00:00:59,520 --> 00:01:02,760 Speaker 4: just mean that we've reached another week in our politics 19 00:01:02,800 --> 00:01:04,920 Speaker 4: since I can think of last week with Mark Green, 20 00:01:05,480 --> 00:01:08,560 Speaker 4: but this one was even on the payroll of the congressman. 21 00:01:08,400 --> 00:01:09,560 Speaker 2: Right exactly. 22 00:01:09,680 --> 00:01:12,800 Speaker 1: You know it's a Republican because they've got their mistress 23 00:01:12,840 --> 00:01:15,840 Speaker 1: on the payroll. John Edwards would like a word, right, 24 00:01:15,920 --> 00:01:19,520 Speaker 1: that's a good point. Is a nonpartisan activity. Anthony d 25 00:01:19,720 --> 00:01:24,160 Speaker 1: Esposito and New York two Democrats have been salivating over 26 00:01:24,200 --> 00:01:26,840 Speaker 1: the seat. It's a seat that Biden, It's in a 27 00:01:26,840 --> 00:01:30,360 Speaker 1: district that Biden won in twenty twenty. So in April, 28 00:01:30,680 --> 00:01:36,080 Speaker 1: mister d Esposito added someone to his payroll, a woman 29 00:01:36,319 --> 00:01:39,080 Speaker 1: with whom he was having an affair. Okay, they have 30 00:01:39,200 --> 00:01:41,600 Speaker 1: four sources here. This is from the New York Times. 31 00:01:41,880 --> 00:01:45,480 Speaker 1: The woman she collected two thousand dollars a month for 32 00:01:45,760 --> 00:01:48,520 Speaker 1: a part time job in the same district office. So 33 00:01:48,840 --> 00:01:50,040 Speaker 1: that's pretty bad. 34 00:01:50,240 --> 00:01:53,960 Speaker 4: Yeah, I should say, since I'm familiar with congressional staffers 35 00:01:54,000 --> 00:01:56,800 Speaker 4: salaries being married to one of them, this is very 36 00:01:56,960 --> 00:02:00,919 Speaker 4: entry level salary, like right above in Yeah. 37 00:02:01,000 --> 00:02:03,800 Speaker 1: What I think is one of the amazing parts of 38 00:02:03,800 --> 00:02:08,280 Speaker 1: the story is that Manu Raju, who covers Congress for CNN, 39 00:02:08,880 --> 00:02:12,360 Speaker 1: went and asked Speaker Johnson if he had spoken Speaker 40 00:02:12,360 --> 00:02:16,239 Speaker 1: of the House Mike Johnson, very very very religious man 41 00:02:16,800 --> 00:02:21,080 Speaker 1: if he had spoken to Dsposito about employing his mistress 42 00:02:21,120 --> 00:02:22,560 Speaker 1: in his district office. 43 00:02:22,880 --> 00:02:25,960 Speaker 2: And he said he had not, that he's. 44 00:02:25,800 --> 00:02:29,040 Speaker 1: Been very busy, as one is when you're the Speaker 45 00:02:29,040 --> 00:02:33,120 Speaker 1: of the House, though this might be important. Then GOP 46 00:02:33,280 --> 00:02:36,800 Speaker 1: whip MANU asked the GOP whip tom Emers. You'll remember 47 00:02:36,919 --> 00:02:40,639 Speaker 1: Tom Emers had some problems because Trump had counted him out. 48 00:02:40,720 --> 00:02:42,320 Speaker 1: He had wanted to be the Speaker of the House. 49 00:02:42,400 --> 00:02:44,960 Speaker 1: Tom Emmer said, we got to get through the week. 50 00:02:45,160 --> 00:02:47,680 Speaker 1: We got a CR that's up tomorrow, and I think 51 00:02:47,760 --> 00:02:50,320 Speaker 1: we're going to have a good vote. So you'll remember 52 00:02:50,360 --> 00:02:54,400 Speaker 1: that Republicans keep being unable to pass a continuing resolution 53 00:02:54,760 --> 00:02:58,080 Speaker 1: because Trump wants to shut down the government. The time 54 00:02:58,160 --> 00:03:00,960 Speaker 1: is now really tight in order to get the CR 55 00:03:01,080 --> 00:03:03,480 Speaker 1: pass so that the government doesn't shut down right before 56 00:03:03,480 --> 00:03:07,160 Speaker 1: an election, because Speaker Johnson has sort of told Trump 57 00:03:07,200 --> 00:03:10,400 Speaker 1: that he can't do that, but they are now sort 58 00:03:10,400 --> 00:03:12,399 Speaker 1: of barreling towards it, and so they have a very 59 00:03:12,440 --> 00:03:15,480 Speaker 1: short period of time in order to pass a continuing resolution. 60 00:03:15,880 --> 00:03:17,640 Speaker 2: So a lot of fuckery there. 61 00:03:17,919 --> 00:03:19,440 Speaker 3: Yeah, I saw that. 62 00:03:19,960 --> 00:03:22,160 Speaker 4: Mister Brett Farv, a person you and I know a 63 00:03:22,200 --> 00:03:24,119 Speaker 4: lot about because you and I are the most knowledgeable 64 00:03:24,120 --> 00:03:27,320 Speaker 4: people on sports in the world. He had a little 65 00:03:27,560 --> 00:03:29,840 Speaker 4: hearing today and there's a lot of fuckery. 66 00:03:29,919 --> 00:03:30,280 Speaker 3: Huh. 67 00:03:30,360 --> 00:03:33,919 Speaker 1: Yeah, So Brett Favre is famous for playing a lot 68 00:03:33,960 --> 00:03:35,440 Speaker 1: of sport, whatever that is. 69 00:03:35,480 --> 00:03:36,040 Speaker 2: I think it's. 70 00:03:35,880 --> 00:03:37,640 Speaker 3: Football, Yes, I know that much. 71 00:03:37,880 --> 00:03:41,480 Speaker 1: He's also famous for his involvement in the largest corruption 72 00:03:41,680 --> 00:03:45,839 Speaker 1: case in Mississippi state history. You know, Mississippi is a 73 00:03:46,120 --> 00:03:49,440 Speaker 1: state with a lot of poverty, a lot of bad 74 00:03:49,520 --> 00:03:52,960 Speaker 1: outcomes when it comes to feedle, maternal life, when it 75 00:03:53,000 --> 00:03:56,520 Speaker 1: comes to education. It's just a state that really has 76 00:03:56,560 --> 00:04:00,000 Speaker 1: had a tough time. So Brett Farv is a cute 77 00:04:00,040 --> 00:04:05,080 Speaker 1: used of misusing Mississippi state welfare funds, and he used 78 00:04:05,120 --> 00:04:10,480 Speaker 1: it to build a stadium, and he used it to 79 00:04:11,480 --> 00:04:15,360 Speaker 1: build a volleyball center. And there are texts by the 80 00:04:15,400 --> 00:04:20,679 Speaker 1: way of him talking to other people. So Brett Favre, 81 00:04:20,720 --> 00:04:23,400 Speaker 1: will the media find out that we're using welfare to 82 00:04:23,440 --> 00:04:26,560 Speaker 1: funds intended for it to help the poorest residents of 83 00:04:26,600 --> 00:04:32,440 Speaker 1: America's poor state build a volleyball center. And the woman 84 00:04:32,520 --> 00:04:36,919 Speaker 1: wrote back, Now the governor is fully on board. Five 85 00:04:37,000 --> 00:04:40,920 Speaker 1: years later, anyway, so Brett Farv was testifying from the 86 00:04:40,960 --> 00:04:45,080 Speaker 1: House today and he talked about how basically none of 87 00:04:45,080 --> 00:04:47,279 Speaker 1: this was his fault, and how he had been tricked 88 00:04:47,279 --> 00:04:50,320 Speaker 1: and how unfair it was. And then he added that 89 00:04:50,480 --> 00:04:53,920 Speaker 1: he had lost a lot of money on other investments, 90 00:04:53,920 --> 00:04:56,640 Speaker 1: including and Jesse's going to play this now, but basically 91 00:04:57,000 --> 00:05:01,640 Speaker 1: that he had lost money on investments in a pharmaceutical 92 00:05:01,640 --> 00:05:05,920 Speaker 1: company that was supposed to help people with concussions, and 93 00:05:05,960 --> 00:05:08,359 Speaker 1: then he worked in that he had been diagnosed with 94 00:05:08,400 --> 00:05:12,400 Speaker 1: parkinson three years ago. Again, I still think that stealing 95 00:05:12,440 --> 00:05:15,760 Speaker 1: that money was wrong, despite the fact that he has Parkinson's. 96 00:05:15,800 --> 00:05:18,159 Speaker 2: That's just me. Maybe I'm wrong about that. 97 00:05:18,560 --> 00:05:21,640 Speaker 4: I've never seen an exemption in a law book that 98 00:05:22,040 --> 00:05:24,880 Speaker 4: says that once you have Parkinson's, you're not liable for 99 00:05:24,920 --> 00:05:29,760 Speaker 4: your crimes anymore. Sobali, the Vice President, has talked about 100 00:05:30,000 --> 00:05:33,640 Speaker 4: throwing away the filibuster to codify abortion rights in America. 101 00:05:33,760 --> 00:05:35,919 Speaker 4: And I'm going to shock you here. Joe Manchin and 102 00:05:35,920 --> 00:05:37,800 Speaker 4: a bunch of idiots are really mad about this. 103 00:05:38,320 --> 00:05:41,920 Speaker 1: Yeah, I mean again. She appeared on Wisconsin today. You'll 104 00:05:41,960 --> 00:05:45,440 Speaker 1: remember that Republicans are saying she's not doing enough interviews, 105 00:05:45,520 --> 00:05:49,400 Speaker 1: but here she is actually doing a local news interview, 106 00:05:49,440 --> 00:05:52,960 Speaker 1: and she's saying not that she will eliminate the philibuster 107 00:05:53,080 --> 00:05:56,240 Speaker 1: for everything, just that she will eliminate the philibuster for row. 108 00:05:56,760 --> 00:06:01,080 Speaker 1: There's a lot of people who think that philibuster should 109 00:06:01,080 --> 00:06:04,120 Speaker 1: be eliminated for Roe, and you'll remember Roe was the 110 00:06:04,240 --> 00:06:07,679 Speaker 1: law of the land for almost fifty years. And Trump 111 00:06:07,800 --> 00:06:11,640 Speaker 1: did install a very conservative Supreme Court. He put three 112 00:06:11,760 --> 00:06:15,680 Speaker 1: chumpy justices on the Supreme Court with the purpose of 113 00:06:15,800 --> 00:06:19,480 Speaker 1: overturning Row. This is a real special situation where I 114 00:06:19,520 --> 00:06:22,600 Speaker 1: think getting rid of the philibuster does not necessarily mean 115 00:06:22,640 --> 00:06:24,479 Speaker 1: getting rid of the philibuster for good. 116 00:06:24,720 --> 00:06:27,960 Speaker 4: The justices that were installed here one might remember at 117 00:06:27,960 --> 00:06:32,839 Speaker 4: Mereric carl And these were basically ill gotten gains injustices right. 118 00:06:32,720 --> 00:06:36,240 Speaker 1: Well they did they stall the Gore Sitch Seed and 119 00:06:36,279 --> 00:06:41,560 Speaker 1: then Justice keg Stand and then Justice bear it. Her 120 00:06:41,600 --> 00:06:44,200 Speaker 1: hearing started while people were already voting. 121 00:06:48,680 --> 00:06:51,440 Speaker 4: We have even more tour dates for you. Did you 122 00:06:51,440 --> 00:06:53,800 Speaker 4: know the Lincoln projects, Rick Wills that have past politics? 123 00:06:53,800 --> 00:06:56,240 Speaker 4: Bole jug Faster heading out on tour to bring you 124 00:06:56,560 --> 00:06:59,560 Speaker 4: a night of last for our dark political landscape. Join 125 00:06:59,640 --> 00:07:01,720 Speaker 4: us on August twenty sixth at San Francisco at the 126 00:07:01,760 --> 00:07:05,000 Speaker 4: Swedish American Hall, or in la on August twenty seventh 127 00:07:05,040 --> 00:07:07,640 Speaker 4: at the Region Theater. Then we're headed to the Midwest 128 00:07:07,800 --> 00:07:10,000 Speaker 4: and we'll be at the Vivarium in Milwaukee on the 129 00:07:10,000 --> 00:07:12,800 Speaker 4: twenty first of September, and on the twenty second, we'll 130 00:07:12,840 --> 00:07:15,120 Speaker 4: be in Chicago at Citywinery. Then we're going to hit 131 00:07:15,160 --> 00:07:17,840 Speaker 4: the East coast. On September thirtieth, we'll be in Boston 132 00:07:17,880 --> 00:07:20,160 Speaker 4: at Arts at the Armory. On the first of October, 133 00:07:20,280 --> 00:07:23,080 Speaker 4: we'll be Infilliate City Winery, and then DC on the 134 00:07:23,080 --> 00:07:25,720 Speaker 4: second at the Miracle Theater. And today we just announced 135 00:07:25,720 --> 00:07:27,400 Speaker 4: that we'll be in New York on the fourteenth of 136 00:07:27,440 --> 00:07:30,240 Speaker 4: October at City Winery. If you need to laugh as 137 00:07:30,240 --> 00:07:32,840 Speaker 4: we get through this election and hopefully never hear from 138 00:07:32,840 --> 00:07:34,880 Speaker 4: a guy who lives in a golf club again, we 139 00:07:35,000 --> 00:07:37,520 Speaker 4: got you covered. Join us in our surprise guests to 140 00:07:37,560 --> 00:07:39,360 Speaker 4: help you laugh instead of cry your way through this 141 00:07:39,440 --> 00:07:42,280 Speaker 4: election season and give you the inside analysis of what's 142 00:07:42,360 --> 00:07:44,920 Speaker 4: really going on right now. Buy your tickets now by 143 00:07:44,920 --> 00:07:49,160 Speaker 4: heading to Politics as Unusual dot bio. That's Politics as 144 00:07:49,400 --> 00:07:51,000 Speaker 4: Unusual dot bio. 145 00:07:52,720 --> 00:07:55,640 Speaker 1: Sarah Longwhile is the publisher of The Bulwark and the 146 00:07:55,680 --> 00:08:01,360 Speaker 1: host of the focus group podcast Welcome Back two Fast Politics. 147 00:08:01,360 --> 00:08:04,240 Speaker 5: Aw Hey, thanks for having me. Great to be here. 148 00:08:04,440 --> 00:08:05,760 Speaker 2: I'm so excited to have you. 149 00:08:06,200 --> 00:08:09,680 Speaker 1: It's so funny because it's like this election cycle, I 150 00:08:09,720 --> 00:08:11,760 Speaker 1: feel like it's been like a century. 151 00:08:12,000 --> 00:08:14,360 Speaker 5: Yeah, well almost a decade. 152 00:08:14,680 --> 00:08:16,240 Speaker 2: I mean, it's true. 153 00:08:16,400 --> 00:08:18,280 Speaker 5: You know, there's a lot of people I've met for 154 00:08:18,320 --> 00:08:21,600 Speaker 5: the first time kind of in the twenties seventeen, and 155 00:08:21,640 --> 00:08:23,880 Speaker 5: you know, we all had like really little kids or 156 00:08:23,920 --> 00:08:25,800 Speaker 5: like I just had my first kid. Now everybody's got 157 00:08:25,840 --> 00:08:28,400 Speaker 5: like grown kids, and it's all been in the span 158 00:08:28,440 --> 00:08:29,800 Speaker 5: of time when Trump happens. 159 00:08:30,080 --> 00:08:30,960 Speaker 2: It's really true. 160 00:08:30,960 --> 00:08:33,719 Speaker 1: It's actually like my kids are like late teens or 161 00:08:33,760 --> 00:08:34,560 Speaker 1: early twenties. 162 00:08:34,600 --> 00:08:37,880 Speaker 2: Now it's like, what can we talk about this? 163 00:08:37,960 --> 00:08:41,240 Speaker 1: Like yesterday there was this sort of they tracked Trump's rallies, 164 00:08:41,280 --> 00:08:44,120 Speaker 1: and now he's gone from like doing five this is 165 00:08:44,120 --> 00:08:44,839 Speaker 1: actually a front. 166 00:08:45,160 --> 00:08:46,360 Speaker 2: We're gonna talk about. 167 00:08:46,360 --> 00:08:49,840 Speaker 1: A Frank Luntz tweet, I'm sorry to tell you, yea 168 00:08:50,800 --> 00:08:51,880 Speaker 1: everyone's favorite. 169 00:08:52,080 --> 00:08:55,360 Speaker 2: And I mean that ironically, he had. 170 00:08:55,280 --> 00:08:58,880 Speaker 1: A tweet about like agreeing that Trump really isn't doing 171 00:08:58,960 --> 00:09:01,760 Speaker 1: very many rallies to what he was doing in twenty sixteen, 172 00:09:01,800 --> 00:09:03,960 Speaker 1: where he was doing as many as three or four 173 00:09:03,960 --> 00:09:04,320 Speaker 1: a day. 174 00:09:04,800 --> 00:09:08,040 Speaker 2: He does feel like the man is like low energy. 175 00:09:08,320 --> 00:09:10,560 Speaker 5: Yeah, I mean, like on the point of you know, 176 00:09:10,640 --> 00:09:13,640 Speaker 5: time flies when you're trying to ward off an autocracy 177 00:09:14,040 --> 00:09:17,040 Speaker 5: like Donald Trump is an old man, like he is 178 00:09:18,120 --> 00:09:19,720 Speaker 5: seventy eight. 179 00:09:20,080 --> 00:09:23,679 Speaker 2: I'm seventy eight now, oldest person ever to run for president, oldest. 180 00:09:23,400 --> 00:09:25,760 Speaker 5: Person ever to run for president. So like he's lost 181 00:09:25,760 --> 00:09:28,240 Speaker 5: a step, and you know, he has been able to, 182 00:09:29,080 --> 00:09:32,640 Speaker 5: I think thrive in comparison to Joe Biden because he 183 00:09:32,679 --> 00:09:35,760 Speaker 5: does still have like big lunatic energy when he is 184 00:09:35,800 --> 00:09:39,679 Speaker 5: talking right, and he's charismatic. Yeah, I mean just to 185 00:09:39,760 --> 00:09:42,800 Speaker 5: people who find his particular way of being charismatic. I 186 00:09:42,880 --> 00:09:45,200 Speaker 5: find him repellent whenever he opens his mouth. But you know, 187 00:09:45,400 --> 00:09:49,040 Speaker 5: different strokes for different folks, but he just it is 188 00:09:49,080 --> 00:09:51,160 Speaker 5: so clear when you listen to him where you go back. 189 00:09:51,200 --> 00:09:53,240 Speaker 5: I end up. It's a hazard of my profession that 190 00:09:53,280 --> 00:09:55,320 Speaker 5: I often go back and we'll watch sort of old 191 00:09:55,360 --> 00:09:57,679 Speaker 5: debate footage. And I was doing it at the time, 192 00:09:57,800 --> 00:10:00,760 Speaker 5: you know, looking at Joe Biden's performance going back some years, 193 00:10:00,800 --> 00:10:03,199 Speaker 5: but even looking at Trump, he looks really different. He 194 00:10:03,280 --> 00:10:06,720 Speaker 5: looked terrible at the debate. And I wouldn't normally say 195 00:10:06,720 --> 00:10:09,920 Speaker 5: that as a judgment other than look, they set up 196 00:10:09,920 --> 00:10:14,080 Speaker 5: the prism of age and mental acuity, Like that's the 197 00:10:14,200 --> 00:10:16,640 Speaker 5: frame they wanted with Joe Biden, and now he's got 198 00:10:16,679 --> 00:10:18,760 Speaker 5: to live in that frame, and he's too old to 199 00:10:18,760 --> 00:10:19,319 Speaker 5: be doing this. 200 00:10:19,720 --> 00:10:20,880 Speaker 2: I think that's really important. 201 00:10:20,960 --> 00:10:23,640 Speaker 1: Yeah, I mean they were basically running on Biden's age 202 00:10:23,760 --> 00:10:25,360 Speaker 1: until the moment Biden dropped out. 203 00:10:25,600 --> 00:10:27,720 Speaker 5: He's still trying to run on Biden's age. Trump is 204 00:10:27,800 --> 00:10:29,680 Speaker 5: very old, and I think he's very sad that he's 205 00:10:29,679 --> 00:10:31,240 Speaker 5: no longer running against Joe Biden. 206 00:10:31,600 --> 00:10:34,920 Speaker 1: Yes, well, and he does sometimes he slips into as 207 00:10:34,920 --> 00:10:36,200 Speaker 1: I run against Joe Biden. 208 00:10:36,440 --> 00:10:39,640 Speaker 5: Yeah, he clearly wishes as we all look back, because 209 00:10:39,679 --> 00:10:42,360 Speaker 5: it's been such an insane campaign for one that was 210 00:10:42,400 --> 00:10:44,640 Speaker 5: set up to be so boring in terms of just 211 00:10:44,640 --> 00:10:47,160 Speaker 5: like a rematch to a two guys we knew very well. 212 00:10:47,440 --> 00:10:52,920 Speaker 5: It's been an absolute wild ride. I cannot believe how 213 00:10:53,040 --> 00:10:56,240 Speaker 5: unprepared his campaign was for the possibility that maybe Joe 214 00:10:56,280 --> 00:10:58,320 Speaker 5: Biden was going to drop out, and they've never found 215 00:10:58,360 --> 00:10:59,199 Speaker 5: their footing since. 216 00:10:59,600 --> 00:11:04,080 Speaker 1: Yeah, exactly exactly. I mean that is really what's so 217 00:11:04,240 --> 00:11:06,800 Speaker 1: interesting is that they did. They kept saying, you know, 218 00:11:06,840 --> 00:11:08,720 Speaker 1: Biden has to drop out, Biden has to drop out, 219 00:11:08,760 --> 00:11:11,200 Speaker 1: Biden has to drop out, and then they were like, wait, what. 220 00:11:11,440 --> 00:11:13,920 Speaker 5: Yeah, that's right. They did not think Democrats had it 221 00:11:13,920 --> 00:11:16,800 Speaker 5: in them. Yeah, but it really is Republicans now who 222 00:11:16,840 --> 00:11:19,120 Speaker 5: no matter how big bad things get, they won't drop 223 00:11:19,160 --> 00:11:20,960 Speaker 5: out them. And you look at this Mark Robinson guy, 224 00:11:21,800 --> 00:11:23,880 Speaker 5: like Donald Trump has taught all of these guys you 225 00:11:24,000 --> 00:11:26,560 Speaker 5: just power through. And that's why that's why I think 226 00:11:26,600 --> 00:11:28,480 Speaker 5: they didn't think Joe Biden would do it because Donald 227 00:11:28,480 --> 00:11:31,319 Speaker 5: Trump would never do it. He would never give up power, 228 00:11:31,360 --> 00:11:34,200 Speaker 5: he would never step aside. And he's taught all of 229 00:11:34,240 --> 00:11:37,920 Speaker 5: these other Republicans, like, is the scandal of epic proportions 230 00:11:37,960 --> 00:11:39,720 Speaker 5: so much so that it seems like you'll never get 231 00:11:39,760 --> 00:11:42,600 Speaker 5: out from under it? Is there so much evidence well 232 00:11:43,080 --> 00:11:45,840 Speaker 5: did not It's like the shaggy rule of politics. Just 233 00:11:45,840 --> 00:11:49,320 Speaker 5: like say it wasn't you and pretend like it didn't happen. 234 00:11:49,360 --> 00:11:50,120 Speaker 5: Just barrel through. 235 00:11:50,559 --> 00:11:53,640 Speaker 1: Yeah, but let's talk about Mark Robinson in North Carolina 236 00:11:53,720 --> 00:11:56,760 Speaker 1: for a minute, because what is so interesting about him 237 00:11:57,040 --> 00:12:01,040 Speaker 1: is almost everyone in his campaign has it. It's him 238 00:12:01,200 --> 00:12:04,200 Speaker 1: and whoever is left in there who's given up on 239 00:12:04,440 --> 00:12:05,560 Speaker 1: trying to have a career. 240 00:12:05,880 --> 00:12:07,720 Speaker 2: I mean, what's the play there? 241 00:12:08,000 --> 00:12:12,760 Speaker 5: I mean the play is to lose I think. I 242 00:12:12,760 --> 00:12:15,559 Speaker 5: mean I'm watching him. He's got this like OJ defense 243 00:12:15,600 --> 00:12:17,440 Speaker 5: going on where he's like, we're gonna find the real 244 00:12:17,520 --> 00:12:21,080 Speaker 5: person who did it. We will dedicate every last minute 245 00:12:21,080 --> 00:12:24,920 Speaker 5: we have figuring out which AI did went back in 246 00:12:25,040 --> 00:12:28,280 Speaker 5: time and subscribed me to all the like spad I 247 00:12:28,320 --> 00:12:32,520 Speaker 5: was a black Nazi and indorsed slavery, that the transgender 248 00:12:32,559 --> 00:12:36,080 Speaker 5: porn was my jam while I'm you know, demonizing transgender kids. 249 00:12:36,360 --> 00:12:38,240 Speaker 5: The funny thing about the Mark Robinson stuff is all 250 00:12:38,280 --> 00:12:41,199 Speaker 5: the new stuff is like it's bad, but is it 251 00:12:41,240 --> 00:12:43,080 Speaker 5: worse than the stuff? We already knew him being a 252 00:12:43,080 --> 00:12:45,840 Speaker 5: holocaust and I are him saying that, you know, him 253 00:12:45,880 --> 00:12:47,680 Speaker 5: acting like he's a big pro life guy when he 254 00:12:47,720 --> 00:12:50,200 Speaker 5: paid for an abortion, you know ford his wife had 255 00:12:50,600 --> 00:12:53,040 Speaker 5: so like, this guy's been a bad guy from the jump. 256 00:12:53,160 --> 00:12:56,120 Speaker 5: And you know, the voters in North Carolina, the Republican 257 00:12:56,160 --> 00:13:00,200 Speaker 5: primary voters, they had a choice between like Joe Normy 258 00:13:00,520 --> 00:13:03,760 Speaker 5: candidate and Mark Robinson. And in the primary they picked 259 00:13:03,880 --> 00:13:07,000 Speaker 5: Mark Robinson by a landslide. And this is what Republican 260 00:13:07,040 --> 00:13:08,959 Speaker 5: primary voters want. I guess they're going to get it 261 00:13:09,000 --> 00:13:09,560 Speaker 5: good and hard. 262 00:13:09,840 --> 00:13:16,400 Speaker 1: I mean, Sarah, I would say, also he is You'll 263 00:13:16,440 --> 00:13:20,880 Speaker 1: remember he's also the lieutenant governor. Now he's already has 264 00:13:20,960 --> 00:13:22,240 Speaker 1: an elected office there. 265 00:13:22,720 --> 00:13:26,040 Speaker 5: Yeah, and this was one of the reasons that they 266 00:13:26,040 --> 00:13:29,560 Speaker 5: didn't want Rory Cooper was getting when he was considered 267 00:13:29,600 --> 00:13:32,760 Speaker 5: right for vice president. He couldn't step aside because nobody 268 00:13:32,800 --> 00:13:35,920 Speaker 5: wanted to give this guy a bigger platform. Yes, and 269 00:13:35,960 --> 00:13:39,400 Speaker 5: he should resign again, because we've lived a lifetime in 270 00:13:39,640 --> 00:13:42,000 Speaker 5: just less than a decade. But in the before times, 271 00:13:42,280 --> 00:13:46,520 Speaker 5: in the beforetimes, something like this would be ruinous for 272 00:13:46,640 --> 00:13:51,480 Speaker 5: any candidate, but especially a character counts, morality based GOP candidate. 273 00:13:51,600 --> 00:13:53,679 Speaker 5: But today it's just you know, it's Tuesday. 274 00:13:53,760 --> 00:13:56,880 Speaker 1: Right, exactly, It's Tuesday if you're listening to this podcast, 275 00:13:56,920 --> 00:14:00,000 Speaker 1: And I'm sure euro listeners have the same real anxiet 276 00:14:00,400 --> 00:14:01,560 Speaker 1: about this fucking election. 277 00:14:01,920 --> 00:14:02,199 Speaker 5: Yeah. 278 00:14:02,200 --> 00:14:05,000 Speaker 1: So I was actually with someone earlier who is from 279 00:14:05,000 --> 00:14:07,600 Speaker 1: Biden world, and they were talking about their path and 280 00:14:07,640 --> 00:14:09,720 Speaker 1: how they thought they would win. But they felt that 281 00:14:09,760 --> 00:14:12,560 Speaker 1: it was a much narrower path than what she has 282 00:14:12,640 --> 00:14:14,720 Speaker 1: and that she has actually opened up the map in 283 00:14:14,760 --> 00:14:15,400 Speaker 1: certain ways. 284 00:14:15,520 --> 00:14:17,280 Speaker 2: Where do you see this election happening? 285 00:14:17,520 --> 00:14:20,200 Speaker 5: So one of the things about North Carolina, North Carolina 286 00:14:20,240 --> 00:14:22,280 Speaker 5: wasn't even on my list of states to play in. 287 00:14:22,640 --> 00:14:26,920 Speaker 5: She put it in contention in a meaningful way that said, 288 00:14:27,080 --> 00:14:29,240 Speaker 5: I still like I don't sit around being like, oh 289 00:14:29,280 --> 00:14:31,280 Speaker 5: my god, what if she doesn't win North Carolina. I 290 00:14:31,360 --> 00:14:33,360 Speaker 5: never thought Democrats were going to win North Carolina, and 291 00:14:33,440 --> 00:14:37,160 Speaker 5: so I've been like, it is Pennsylvania, Michigan, Wisconsin, Nebraska too, 292 00:14:37,360 --> 00:14:39,720 Speaker 5: that's your path. Part of it is like she's over 293 00:14:39,840 --> 00:14:43,680 Speaker 5: performing with white voters, like she's doing well with white voters. 294 00:14:43,680 --> 00:14:46,080 Speaker 5: I think there was maybe some concern. I know I 295 00:14:46,160 --> 00:14:49,960 Speaker 5: had some concern demographically with Biden dropping out, like Biden 296 00:14:50,040 --> 00:14:52,320 Speaker 5: was doing very well with older white people that was 297 00:14:52,400 --> 00:14:54,640 Speaker 5: who he was working for, and I was like, oh. 298 00:14:54,400 --> 00:14:56,200 Speaker 2: Man, because he's an older white person. 299 00:14:56,320 --> 00:14:58,960 Speaker 5: Yes he is. But she continues to do well with 300 00:14:59,040 --> 00:15:01,320 Speaker 5: those voters. And I think that she's been sort of 301 00:15:01,360 --> 00:15:04,600 Speaker 5: putting the coalition back together in terms of Hispanics and 302 00:15:04,600 --> 00:15:06,800 Speaker 5: in terms of black voters that had been kind of 303 00:15:06,840 --> 00:15:10,280 Speaker 5: sliding away from Joe Biden. And she's still under where 304 00:15:10,320 --> 00:15:12,520 Speaker 5: Biden was in terms of what he finally hit in 305 00:15:12,560 --> 00:15:15,160 Speaker 5: twenty twenty, and so she's got more work to do. 306 00:15:15,440 --> 00:15:18,120 Speaker 5: But I do think that that those industrial kind of 307 00:15:18,160 --> 00:15:20,280 Speaker 5: Midwest states are still the path. 308 00:15:20,600 --> 00:15:23,760 Speaker 1: Talk to me about what you're seeing in focus groups. 309 00:15:24,080 --> 00:15:26,880 Speaker 1: One of the things that I talked to Tim Miller 310 00:15:26,880 --> 00:15:29,640 Speaker 1: about and I assume Tim Miller and you are seeing 311 00:15:29,720 --> 00:15:31,280 Speaker 1: the same focus group stuff. 312 00:15:31,440 --> 00:15:34,440 Speaker 5: Tim is seeing my focus groups. Yes, that's what it means. 313 00:15:34,720 --> 00:15:37,120 Speaker 2: Yeah, I assume Tim is seeing your focus groups. 314 00:15:37,160 --> 00:15:37,240 Speaker 3: Ye. 315 00:15:37,640 --> 00:15:41,640 Speaker 2: What he said to me before she jumped out was 316 00:15:41,680 --> 00:15:45,520 Speaker 2: that she had more of an upside than he did. 317 00:15:45,920 --> 00:15:49,000 Speaker 5: Yes, Well, so you're saying that Tim was surprised by that, 318 00:15:49,120 --> 00:15:50,360 Speaker 5: or that's something he said before. 319 00:15:50,680 --> 00:15:52,720 Speaker 1: Yeah, that he said, well, you know, she has more 320 00:15:52,720 --> 00:15:55,120 Speaker 1: of an upside, she has more of a path that 321 00:15:55,200 --> 00:15:57,560 Speaker 1: she can win these people that he couldn't. 322 00:15:57,800 --> 00:16:00,560 Speaker 5: Maybe nod, yes, So that is a one hundred percent 323 00:16:00,600 --> 00:16:02,200 Speaker 5: sure in the focus groups. And this is when we 324 00:16:02,200 --> 00:16:03,800 Speaker 5: were in that weird interregnum. 325 00:16:04,120 --> 00:16:05,880 Speaker 2: Yeah, the three weeks from how. 326 00:16:06,000 --> 00:16:09,360 Speaker 5: Yeah, and I was a you know, I was allowed 327 00:16:09,840 --> 00:16:12,040 Speaker 5: Joe Biden's got to drop out, and primarily because of 328 00:16:12,040 --> 00:16:13,720 Speaker 5: what I was seeing in the focus groups, Like, yeah, 329 00:16:13,760 --> 00:16:17,840 Speaker 5: they were just a center left voters, like soft Biden voters, 330 00:16:18,120 --> 00:16:20,520 Speaker 5: young people, they were just he's too old. They felt 331 00:16:20,520 --> 00:16:22,320 Speaker 5: like it was irresponsible to vote for him. He was 332 00:16:22,360 --> 00:16:23,760 Speaker 5: never going to finish out his term. They weren't going 333 00:16:23,800 --> 00:16:25,760 Speaker 5: to vote for Trump, but they were. I'm so mad 334 00:16:25,800 --> 00:16:29,520 Speaker 5: about Biden. I love my Midwestern governors my Josh Shapiro's 335 00:16:29,560 --> 00:16:32,000 Speaker 5: and Gretchen Whitmer's, and I was concerned. I'd spent years 336 00:16:32,040 --> 00:16:35,400 Speaker 5: listening to people talk about their negative impressions of Harris. However, 337 00:16:35,800 --> 00:16:37,800 Speaker 5: when I started to look harder at it, when it 338 00:16:37,880 --> 00:16:39,560 Speaker 5: got you know, starting to get down to like this 339 00:16:39,640 --> 00:16:42,440 Speaker 5: might really happen, it did start to become pretty clear 340 00:16:42,840 --> 00:16:46,680 Speaker 5: that it needed to be Kamala Harris from a logistical standpoint, 341 00:16:46,720 --> 00:16:49,040 Speaker 5: and I was just like, you know what, she's got upside. 342 00:16:49,080 --> 00:16:51,000 Speaker 5: She's got upside because when you listen to the voters 343 00:16:51,040 --> 00:16:52,720 Speaker 5: who were saying they have a negative impression of her, 344 00:16:53,000 --> 00:16:55,960 Speaker 5: the impression was so loose and it was so rooted 345 00:16:56,040 --> 00:16:57,400 Speaker 5: in I don't see her, I don't know or I 346 00:16:57,400 --> 00:16:59,680 Speaker 5: don't know what she's doing. And so that was the upside. 347 00:17:00,080 --> 00:17:01,720 Speaker 5: I was like, Okay, well let's see her, let's meet her, 348 00:17:01,760 --> 00:17:04,120 Speaker 5: let's know what she's doing, and like if they like her, 349 00:17:04,160 --> 00:17:06,560 Speaker 5: then good. And this is where what she has done 350 00:17:06,880 --> 00:17:10,840 Speaker 5: has when people look back, I mean, her favorables are 351 00:17:10,880 --> 00:17:13,720 Speaker 5: through the room. Like she's made like a twenty point gain. 352 00:17:13,800 --> 00:17:19,040 Speaker 2: In favorability she's w after nine to eleven. Yeah, unbelievable. 353 00:17:19,359 --> 00:17:24,520 Speaker 5: She's completely reversed the enthusiasm advantage that Republicans had. I mean, 354 00:17:24,560 --> 00:17:27,479 Speaker 5: people like get a. I think the polling is one thing, 355 00:17:27,520 --> 00:17:29,320 Speaker 5: but like, look at all the other indices, Look at 356 00:17:29,320 --> 00:17:31,560 Speaker 5: the small dollar donors, look at how many people are new, 357 00:17:31,560 --> 00:17:34,960 Speaker 5: look at registrations, look at volunteering, like the people who 358 00:17:35,000 --> 00:17:37,119 Speaker 5: are coming out, and like if you talk to anybody 359 00:17:37,160 --> 00:17:39,040 Speaker 5: who's running a precinct or is in a state, like 360 00:17:39,160 --> 00:17:42,359 Speaker 5: they can't handle the volume of volunteers. Now, those things 361 00:17:42,359 --> 00:17:45,439 Speaker 5: aren't votes, but I do think that they speak to 362 00:17:46,040 --> 00:17:48,320 Speaker 5: something bigger than just vibes and what I see from 363 00:17:48,359 --> 00:17:51,280 Speaker 5: swing voters. So she had I think we could see 364 00:17:51,280 --> 00:17:53,600 Speaker 5: that she had upside back then. I don't think any 365 00:17:53,640 --> 00:17:56,359 Speaker 5: of us anticipated she'd had the kind of upside that 366 00:17:56,400 --> 00:17:58,760 Speaker 5: she's had. And that is to give her just an 367 00:17:58,880 --> 00:18:02,040 Speaker 5: enormous amount of credit. So that is based on her performance, 368 00:18:02,160 --> 00:18:03,760 Speaker 5: you know, I think that all of us got a 369 00:18:03,800 --> 00:18:06,760 Speaker 5: little bit. We just seen one too many supercuts of 370 00:18:06,800 --> 00:18:09,160 Speaker 5: her kind of word salading, and we thought, like, oh man, 371 00:18:09,240 --> 00:18:11,800 Speaker 5: she doesn't have it. But like whatever she was doing 372 00:18:12,080 --> 00:18:14,399 Speaker 5: right as vice president, where she was getting her reps in, 373 00:18:14,760 --> 00:18:17,760 Speaker 5: like she came out the other side good better, like 374 00:18:17,800 --> 00:18:20,480 Speaker 5: a better politician, you know, and I wish there's a 375 00:18:20,480 --> 00:18:22,840 Speaker 5: couple of things. Obviously, I wish we were seeing from her. 376 00:18:22,880 --> 00:18:25,000 Speaker 5: I wish she was just more forthright about the fact that, 377 00:18:25,119 --> 00:18:27,000 Speaker 5: you know, three and a half years as vice president 378 00:18:27,240 --> 00:18:30,080 Speaker 5: allowed her to understand more about how she had to 379 00:18:30,160 --> 00:18:33,480 Speaker 5: leave California politics behind and focus on how you govern 380 00:18:33,800 --> 00:18:35,960 Speaker 5: for the entire country. And that's why she's moved to 381 00:18:35,960 --> 00:18:39,280 Speaker 5: the center on certain things like just give people like 382 00:18:39,320 --> 00:18:41,359 Speaker 5: and people understand, Okay, you changed your mind, you got 383 00:18:41,359 --> 00:18:44,320 Speaker 5: more information as opposed to just changing positions. I also 384 00:18:44,320 --> 00:18:46,440 Speaker 5: think the thing that I see in focus groups that's 385 00:18:46,440 --> 00:18:49,080 Speaker 5: so interesting is I've known for a long time that 386 00:18:49,160 --> 00:18:51,360 Speaker 5: the more people see of Donald Trump, the less they 387 00:18:51,400 --> 00:18:54,120 Speaker 5: like him. When like Donald Trump is high salience, when 388 00:18:54,119 --> 00:18:56,560 Speaker 5: he is in people's faces, you see his numbers go 389 00:18:56,640 --> 00:18:58,520 Speaker 5: down in terms of favorability because people don't like him 390 00:18:58,520 --> 00:19:01,200 Speaker 5: when they see him. She and Tim, the more people 391 00:19:01,240 --> 00:19:04,640 Speaker 5: see them, the more they like them. Kamala, if you're listening, 392 00:19:05,000 --> 00:19:07,000 Speaker 5: get him out there, Get him out there, I mean 393 00:19:07,200 --> 00:19:11,800 Speaker 5: as much of a breakneck pace as their significantly younger 394 00:19:12,400 --> 00:19:16,680 Speaker 5: statuses can handle, Like Tim Walls, get put him everywhere. Yeah, 395 00:19:16,720 --> 00:19:19,399 Speaker 5: So that would be my only kind of complaint is 396 00:19:19,400 --> 00:19:22,080 Speaker 5: that I sometimes think this team has a little like 397 00:19:22,160 --> 00:19:25,400 Speaker 5: Biden PTSD or like you couldn't put this guy anywhere, 398 00:19:25,640 --> 00:19:28,080 Speaker 5: and like these people need to be everywhere. 399 00:19:28,359 --> 00:19:31,800 Speaker 2: Yeah, they are like out there a lot though. I mean, 400 00:19:32,160 --> 00:19:32,840 Speaker 2: but I agree. 401 00:19:32,840 --> 00:19:35,720 Speaker 1: And Tim Walls, I think is really a good surrogaate, 402 00:19:36,160 --> 00:19:38,480 Speaker 1: Like he really has that Midwestern thing. 403 00:19:39,040 --> 00:19:43,360 Speaker 5: Yeah, I mean when he talks about gutters and gutter maintenance. Yes, 404 00:19:44,160 --> 00:19:46,840 Speaker 5: I just feel like, you know, when he's feeding a 405 00:19:46,880 --> 00:19:49,679 Speaker 5: baby cow with a model and he's talking to it, Like, 406 00:19:49,840 --> 00:19:54,119 Speaker 5: put that guy everywhere in central Pennsylvania, in the big 407 00:19:54,240 --> 00:19:58,240 Speaker 5: vast ocean where I grew up, between Pittsburgh and Philadelphia. 408 00:19:58,400 --> 00:20:00,600 Speaker 5: Just send him in, send him to the arm show. 409 00:20:00,960 --> 00:20:04,000 Speaker 1: Yeah. I think that's a really good point. That's why 410 00:20:04,080 --> 00:20:06,440 Speaker 1: I was saying that I thought he was a smart pick. 411 00:20:06,560 --> 00:20:08,920 Speaker 1: It's so interesting to me because I had interviewed her 412 00:20:09,119 --> 00:20:11,720 Speaker 1: a couple times, Harris, and I had thought, you know, 413 00:20:12,200 --> 00:20:15,560 Speaker 1: she's really good and everybody hates her and I can't 414 00:20:15,600 --> 00:20:18,240 Speaker 1: figure out why this is, Like in twenty twenty two, 415 00:20:18,720 --> 00:20:21,480 Speaker 1: and I was like, I've interviewed a lot of politicians 416 00:20:21,680 --> 00:20:24,320 Speaker 1: and a lot of them are like some. 417 00:20:24,200 --> 00:20:27,440 Speaker 2: Of them are just so careful, like Corey Booker. Corey 418 00:20:27,440 --> 00:20:28,080 Speaker 2: Booker is. 419 00:20:28,040 --> 00:20:31,439 Speaker 1: So careful, like you could like him or not like him, 420 00:20:31,480 --> 00:20:34,639 Speaker 1: but he's so careful it's almost impossible to interview him. Yeah, 421 00:20:34,880 --> 00:20:37,760 Speaker 1: I understand, But like with her, she is not even 422 00:20:37,840 --> 00:20:38,320 Speaker 1: that careful. 423 00:20:38,400 --> 00:20:40,040 Speaker 2: She's just really good. 424 00:20:40,080 --> 00:20:42,120 Speaker 1: And I was like, she's really good, and I kept saying, 425 00:20:42,160 --> 00:20:44,040 Speaker 1: you know, she's really good, and finally got to a 426 00:20:44,040 --> 00:20:46,399 Speaker 1: place where I was like, I guess that America is 427 00:20:46,520 --> 00:20:49,439 Speaker 1: just so racist and sexist that they can't see that 428 00:20:49,520 --> 00:20:52,439 Speaker 1: she's actually really good. And so when she got up 429 00:20:52,480 --> 00:20:54,080 Speaker 1: there and she was really good, I was like, oh 430 00:20:54,080 --> 00:20:56,600 Speaker 1: my god, I was actually right. I always sort of 431 00:20:56,640 --> 00:20:58,920 Speaker 1: believed in my heart that she was really good, and 432 00:20:59,200 --> 00:21:01,439 Speaker 1: I've been really grad to see that. But I also 433 00:21:01,920 --> 00:21:04,640 Speaker 1: I thought Wallas was the pick. But again, if they 434 00:21:04,680 --> 00:21:07,120 Speaker 1: lose Pennsylvania, I will not have thought Wallas was the pick. 435 00:21:08,880 --> 00:21:09,680 Speaker 5: I was realizing. 436 00:21:09,960 --> 00:21:13,000 Speaker 1: I was like, if they lose Pennsylvania, then Josh Shapiro 437 00:21:13,040 --> 00:21:14,000 Speaker 1: would have been a better back. 438 00:21:14,560 --> 00:21:17,000 Speaker 5: That's right, we're not going to know. We're not gonna 439 00:21:17,000 --> 00:21:20,560 Speaker 5: be able to run the counterfactual on that unless I 440 00:21:20,680 --> 00:21:22,760 Speaker 5: think we can all ye assume if she loses Pennsylvania 441 00:21:22,760 --> 00:21:25,720 Speaker 5: by ten thousand votes. We will have wished she picked Joshpia, 442 00:21:25,800 --> 00:21:28,600 Speaker 5: But obviously I'm a Pennsylvania person. I'm a Shapiro person. 443 00:21:28,800 --> 00:21:31,399 Speaker 5: But I like Tim Walls a ton. I want more 444 00:21:31,520 --> 00:21:33,800 Speaker 5: Tim Walls so that he can do the thing that 445 00:21:33,840 --> 00:21:35,320 Speaker 5: I think he was supposed to do. 446 00:21:35,600 --> 00:21:36,359 Speaker 2: I think that's smart. 447 00:21:36,520 --> 00:21:38,480 Speaker 1: One of the things that's really interesting that we're seeing 448 00:21:38,520 --> 00:21:41,360 Speaker 1: out of Donald Trump is Donald Trump clearly is seeing 449 00:21:41,720 --> 00:21:43,200 Speaker 1: that women don't like him. 450 00:21:43,520 --> 00:21:46,120 Speaker 5: I do think he's catching on to that, yes, which 451 00:21:46,160 --> 00:21:47,919 Speaker 5: is why he wos them in all caps. 452 00:21:49,320 --> 00:21:51,640 Speaker 2: So I laugh to keep from crying. 453 00:21:51,920 --> 00:21:55,120 Speaker 1: But women will be safer, they'll no longer think about abortion. 454 00:21:55,640 --> 00:21:57,240 Speaker 2: Who is giving him this advice? 455 00:21:58,600 --> 00:22:01,280 Speaker 5: If I had to lame money, I'd say it's Kelly 456 00:22:01,320 --> 00:22:04,760 Speaker 5: and Conway. Oh really, yeah, because I think she's probably 457 00:22:04,800 --> 00:22:09,840 Speaker 5: the only Polster that he has who like tells him 458 00:22:09,840 --> 00:22:12,960 Speaker 5: to try with women. I think the rest of his team, 459 00:22:13,040 --> 00:22:15,479 Speaker 5: like clearly the JD Vance pick and everything else, up 460 00:22:15,520 --> 00:22:17,520 Speaker 5: until this point, has been trying to run up numbers 461 00:22:17,520 --> 00:22:20,320 Speaker 5: with men. And my guess is because she is not 462 00:22:21,000 --> 00:22:23,520 Speaker 5: Kelly and Conway is not stupid. She is a smart person, 463 00:22:23,560 --> 00:22:25,560 Speaker 5: and she understands these numbers, and I think she went 464 00:22:25,600 --> 00:22:28,080 Speaker 5: in there and was like, yes, you are leading by 465 00:22:28,080 --> 00:22:30,639 Speaker 5: this much with men, but you are cratering with women, 466 00:22:31,040 --> 00:22:33,040 Speaker 5: and like you have got to do something to lose 467 00:22:33,160 --> 00:22:38,040 Speaker 5: less badly here. And that was his response. That's how 468 00:22:38,040 --> 00:22:42,359 Speaker 5: he interpreted that, probably perfectly, saying advice. 469 00:22:44,560 --> 00:22:47,480 Speaker 1: The all caps and this sort of menacing way he's 470 00:22:47,520 --> 00:22:49,879 Speaker 1: mentioning it seemed to have really threaded the needle. 471 00:22:50,040 --> 00:22:51,679 Speaker 5: I don't know how you would do this, but there 472 00:22:51,720 --> 00:22:54,879 Speaker 5: is part of me that wants to go interview women 473 00:22:55,200 --> 00:23:00,480 Speaker 5: who've like survived abusive relationships and ask how similar this 474 00:23:00,600 --> 00:23:03,639 Speaker 5: kind of gaslighting is, because this like the way that 475 00:23:03,720 --> 00:23:07,560 Speaker 5: Trump because he's a predator himself right when he actually 476 00:23:07,600 --> 00:23:10,520 Speaker 5: he's the protector. Like you can feel the predator all 477 00:23:10,560 --> 00:23:12,840 Speaker 5: over it. I just have to imagine people who sort 478 00:23:12,880 --> 00:23:15,919 Speaker 5: of deal with men who are predators like this, like 479 00:23:15,960 --> 00:23:18,199 Speaker 5: would recognize the behavior pretty quickly. 480 00:23:18,480 --> 00:23:22,119 Speaker 1: It feels like very menacing, yeah, you know, and like 481 00:23:22,240 --> 00:23:23,639 Speaker 1: a little bit of a thread. 482 00:23:23,680 --> 00:23:27,359 Speaker 5: And low key menace has always been part of the 483 00:23:27,440 --> 00:23:30,600 Speaker 5: Trump experience that I do think we under talk about. 484 00:23:30,840 --> 00:23:34,280 Speaker 5: He's sort of using it here broadly, just like aimed 485 00:23:34,680 --> 00:23:36,800 Speaker 5: like idiotically at women, but like This is how he 486 00:23:36,880 --> 00:23:40,560 Speaker 5: gets Republicans to be in line right as by you know, 487 00:23:40,600 --> 00:23:43,480 Speaker 5: sort of turning. But he like tries to be like 488 00:23:44,080 --> 00:23:47,119 Speaker 5: he'll turn on the charm, turn on the be like 489 00:23:47,200 --> 00:23:49,399 Speaker 5: sort of obsequious and stuck up to people, kind of 490 00:23:49,440 --> 00:23:50,280 Speaker 5: the way he talks about. 491 00:23:50,080 --> 00:23:51,400 Speaker 2: Putin now his favorite. 492 00:23:51,520 --> 00:23:53,560 Speaker 5: And then on the other side he'll kind of do 493 00:23:53,720 --> 00:23:57,320 Speaker 5: a yeah, my followers. You know, can't control those guys. 494 00:23:57,400 --> 00:24:00,960 Speaker 5: He knows if I send a tweet, break run. And 495 00:24:01,240 --> 00:24:04,000 Speaker 5: you know when Lindsey Graham turned on him after the insurrection, 496 00:24:04,480 --> 00:24:06,439 Speaker 5: he got right back on board after a bunch of 497 00:24:06,480 --> 00:24:09,160 Speaker 5: Trump's followers came and screamed at him at an airport. 498 00:24:09,359 --> 00:24:10,600 Speaker 2: Oh God, I remember that. 499 00:24:11,119 --> 00:24:12,800 Speaker 5: This is how it works. This is how they keep 500 00:24:12,800 --> 00:24:13,760 Speaker 5: these guys on side. 501 00:24:14,040 --> 00:24:17,760 Speaker 1: Just explain to our listeners why people like Dick Cheney 502 00:24:17,800 --> 00:24:19,960 Speaker 1: aren't important endorsement. 503 00:24:19,880 --> 00:24:23,560 Speaker 5: Are or are not? Are are a couple reasons number 504 00:24:23,560 --> 00:24:26,320 Speaker 5: one Right now, we're in a space of persuasion around 505 00:24:26,359 --> 00:24:30,680 Speaker 5: low information voters. And it's the kind of like super 506 00:24:30,880 --> 00:24:34,280 Speaker 5: weird news item that makes a low information voter be like, 507 00:24:34,400 --> 00:24:37,639 Speaker 5: wait a minute, that Dick Cheney is endorsing Kamala Harris. 508 00:24:37,680 --> 00:24:40,639 Speaker 5: It is the kind of thing that breaks through. And 509 00:24:40,680 --> 00:24:42,560 Speaker 5: so I would say that's number one because I think 510 00:24:42,600 --> 00:24:44,600 Speaker 5: for a lot of other people, like Jeff Duncan, who's 511 00:24:44,640 --> 00:24:47,040 Speaker 5: a wonderful person and a wonderful Republican, is not a 512 00:24:47,040 --> 00:24:51,159 Speaker 5: household name, and so him endorsing is different than like 513 00:24:51,280 --> 00:24:54,359 Speaker 5: Dick Cheney, who people have a very fixed understanding of 514 00:24:54,680 --> 00:24:58,400 Speaker 5: and no one thinks is like a rhino, right, And 515 00:24:58,520 --> 00:25:01,560 Speaker 5: so I think as part of it, I also think 516 00:25:01,560 --> 00:25:05,040 Speaker 5: that for a certain Washington set that we still need 517 00:25:05,440 --> 00:25:09,200 Speaker 5: to come speak out. There is a weird permission structure 518 00:25:09,240 --> 00:25:12,200 Speaker 5: being built by other folks that says, oh, we can 519 00:25:12,280 --> 00:25:14,600 Speaker 5: just keep our hands clean, we can just step back 520 00:25:14,640 --> 00:25:16,280 Speaker 5: and do nothing. I can say, oh, I'm not going 521 00:25:16,320 --> 00:25:18,000 Speaker 5: to vote for Trump. This is kind of the Mike 522 00:25:18,040 --> 00:25:20,080 Speaker 5: Pence way. I'm not going to vote for Trump. You know. 523 00:25:20,080 --> 00:25:23,000 Speaker 5: Brett Stevens is on HBO, is on Bill Maher being like, 524 00:25:23,320 --> 00:25:26,159 Speaker 5: but how could I vote for Harris? Like, you know? So, 525 00:25:27,240 --> 00:25:29,800 Speaker 5: And I think that there's something in Dick Cheney being like, 526 00:25:30,000 --> 00:25:33,320 Speaker 5: don't be idiots, just vote for this normal person over 527 00:25:33,320 --> 00:25:35,960 Speaker 5: this psychopath is like helpful with that set. 528 00:25:36,200 --> 00:25:39,679 Speaker 2: Yeah, so interesting, so smart, so important. Thank you. 529 00:25:39,720 --> 00:25:41,880 Speaker 5: Sarah longle Hey thanks for having me always fun. 530 00:25:42,520 --> 00:25:45,320 Speaker 1: Are you concerned about Project twenty twenty five and how 531 00:25:45,359 --> 00:25:49,040 Speaker 1: awful Trump's second term could be? Well, so are we, 532 00:25:49,320 --> 00:25:51,560 Speaker 1: which is why we teamed up with iHeart to make 533 00:25:51,600 --> 00:25:55,200 Speaker 1: a limited series with the experts on what a disaster 534 00:25:55,720 --> 00:25:59,200 Speaker 1: Project twenty twenty five would be for America's future. Right 535 00:25:59,200 --> 00:26:02,399 Speaker 1: now we have us release the final episode of this 536 00:26:02,520 --> 00:26:06,480 Speaker 1: five episode series. They're all available by looking up Molly 537 00:26:06,600 --> 00:26:10,400 Speaker 1: Jong Fast Project twenty twenty five on YouTube, and if 538 00:26:10,400 --> 00:26:13,280 Speaker 1: you are more of a podcast person and not say 539 00:26:13,400 --> 00:26:16,639 Speaker 1: a YouTuber, you can hit play and put your phone 540 00:26:16,760 --> 00:26:19,080 Speaker 1: in the lock screen and it will play back just 541 00:26:19,200 --> 00:26:23,040 Speaker 1: like a podcast. All five episodes are online now. We 542 00:26:23,119 --> 00:26:26,440 Speaker 1: need to educate Americans on what Trump's second term would 543 00:26:26,760 --> 00:26:29,520 Speaker 1: or could do to this country, so please watch it 544 00:26:29,560 --> 00:26:37,240 Speaker 1: and spread the word. Paula Ramos is an MSNBC contributor 545 00:26:37,280 --> 00:26:40,760 Speaker 1: and the author of Defectors, The Rise of the Latino 546 00:26:40,880 --> 00:26:43,199 Speaker 1: Far Right and What it Means for America. 547 00:26:43,320 --> 00:26:44,760 Speaker 2: Welcome back to Fast Politics. 548 00:26:44,760 --> 00:26:47,119 Speaker 1: So first, let's start by talking about this book, because 549 00:26:47,160 --> 00:26:50,080 Speaker 1: I feel like it's very much what we're all kind 550 00:26:50,119 --> 00:26:53,240 Speaker 1: of thinking about in this election. Is this sort of 551 00:26:53,359 --> 00:26:58,760 Speaker 1: interesting moment in the culture and also in this Latino 552 00:26:58,880 --> 00:27:03,320 Speaker 1: voting base, explain to us where we are, what it 553 00:27:03,359 --> 00:27:03,879 Speaker 1: looks like. 554 00:27:04,080 --> 00:27:06,560 Speaker 2: And again, Latino voters are not a monolith. 555 00:27:06,760 --> 00:27:09,480 Speaker 1: There's a lot of different subgroups in there, so kind 556 00:27:09,480 --> 00:27:10,040 Speaker 1: of talk to. 557 00:27:10,040 --> 00:27:13,720 Speaker 6: Us about that definitely, so defector. So the idea kind 558 00:27:13,720 --> 00:27:16,320 Speaker 6: of like sub cautiously started in twenty sixteen. So in 559 00:27:16,320 --> 00:27:19,120 Speaker 6: twenty sixteen, I'm like working in the Hillary Clinton campaign. 560 00:27:19,240 --> 00:27:22,000 Speaker 6: Back then I had the stancy title of like deputy 561 00:27:22,000 --> 00:27:25,600 Speaker 6: director of Hispanic Press and so like so much of 562 00:27:25,600 --> 00:27:30,320 Speaker 6: the theory of challenge in that moment with that, like 563 00:27:30,440 --> 00:27:33,040 Speaker 6: in the face of someone like Donald Trump, right, like 564 00:27:33,240 --> 00:27:36,560 Speaker 6: the skuy I was insulting immigrants, Mexicans, like in the 565 00:27:36,600 --> 00:27:39,680 Speaker 6: face of someone like him. The theory in the formula 566 00:27:39,840 --> 00:27:43,320 Speaker 6: was that Latinos would sort of rise in these unprecedented numbers, 567 00:27:43,480 --> 00:27:45,400 Speaker 6: right and I mean literally like until the very last 568 00:27:45,440 --> 00:27:47,359 Speaker 6: day of that campaign, Like that's what people were holding 569 00:27:47,400 --> 00:27:49,719 Speaker 6: onto I'll never forget, like the morning of the election, 570 00:27:49,920 --> 00:27:52,560 Speaker 6: and then fast forward to that ninth in twenty sixteen. 571 00:27:52,760 --> 00:27:54,920 Speaker 6: It's not just a Donald Trump points, it's that less 572 00:27:54,960 --> 00:27:57,720 Speaker 6: than fifty percent of Latinos actually show up to the polls. 573 00:27:57,800 --> 00:28:00,080 Speaker 6: And then sort of fast forward to where we were 574 00:28:00,119 --> 00:28:03,679 Speaker 6: than in November twenty twenty, and you see that Donald Trump, right, like, 575 00:28:03,720 --> 00:28:06,800 Speaker 6: after four years of this administration, after four years of 576 00:28:06,840 --> 00:28:10,960 Speaker 6: family like separation, zero tolerance policy, all the insults, you 577 00:28:11,000 --> 00:28:13,479 Speaker 6: suddenly see that here goes Trump and he does between 578 00:28:13,520 --> 00:28:15,919 Speaker 6: eight to ten points better with Latino voters. So we're 579 00:28:15,920 --> 00:28:18,840 Speaker 6: talking about like thirty percent of forty percent of the 580 00:28:19,000 --> 00:28:21,159 Speaker 6: of the Latino vote, Like pure research had him a 581 00:28:21,359 --> 00:28:23,960 Speaker 6: forty percent. So that what that you just said, Molly, Like, 582 00:28:24,080 --> 00:28:25,879 Speaker 6: that's what sort of is at the heart of what 583 00:28:25,960 --> 00:28:28,440 Speaker 6: drove me to write this book, Like, how do you explain? 584 00:28:28,840 --> 00:28:30,600 Speaker 6: And I always want to correct my Like it is 585 00:28:30,880 --> 00:28:33,520 Speaker 6: we're talking about like a small but a growing number 586 00:28:33,560 --> 00:28:37,040 Speaker 6: of latinos as finds something appealing in trump Ism, right, 587 00:28:37,080 --> 00:28:39,600 Speaker 6: and it the far right, and that slippery slope towards 588 00:28:39,640 --> 00:28:43,240 Speaker 6: extremism is so much kind of easier and seamless than 589 00:28:43,280 --> 00:28:44,720 Speaker 6: what we thought our entire lives. 590 00:28:44,960 --> 00:28:49,120 Speaker 1: There are Latino voters who are absolutely not moving in 591 00:28:49,160 --> 00:28:52,720 Speaker 1: that direction. So explain to sort of the subgroup that 592 00:28:53,080 --> 00:28:56,920 Speaker 1: because like Cuban voters have been conservative forever, right, So 593 00:28:57,080 --> 00:28:59,000 Speaker 1: explain does who it is who's. 594 00:28:58,720 --> 00:28:59,880 Speaker 2: Who's moving in that direction? 595 00:29:00,480 --> 00:29:03,240 Speaker 6: Right, So for sure, and I think that's that's really important. Rightly. 596 00:29:03,280 --> 00:29:06,320 Speaker 6: I think come this November, you will not hear the 597 00:29:06,360 --> 00:29:08,720 Speaker 6: story that Donald Trump wins the Latino vote. And I think, 598 00:29:09,200 --> 00:29:11,600 Speaker 6: I think that's that's not the story. The story is 599 00:29:11,720 --> 00:29:13,600 Speaker 6: why is he making such inbros? 600 00:29:13,640 --> 00:29:13,800 Speaker 2: Right? 601 00:29:13,800 --> 00:29:16,360 Speaker 6: Like why is this voting block that is so like 602 00:29:16,600 --> 00:29:19,120 Speaker 6: it's the antithesis of Trump? Isn't like what are they seeing? 603 00:29:19,160 --> 00:29:22,360 Speaker 6: So I think that movement is happening who exactly? So 604 00:29:22,400 --> 00:29:24,920 Speaker 6: it's adding in many different directions. You have one block, 605 00:29:25,160 --> 00:29:28,360 Speaker 6: which is the way that this like anti immigrant sentiment 606 00:29:28,760 --> 00:29:31,200 Speaker 6: is really getting into people's psyche's right. So now you 607 00:29:31,240 --> 00:29:33,440 Speaker 6: see that the that the number of Latinos that are 608 00:29:33,480 --> 00:29:36,280 Speaker 6: warming up to mass deportations and warming up to the wall, 609 00:29:36,360 --> 00:29:38,040 Speaker 6: like that's increasing. 610 00:29:37,800 --> 00:29:40,280 Speaker 2: Right, But those are not Mexican Latinos. 611 00:29:40,440 --> 00:29:40,880 Speaker 5: Oh yeah. 612 00:29:41,320 --> 00:29:44,440 Speaker 6: Really In the book, like I spend so much time 613 00:29:44,520 --> 00:29:47,320 Speaker 6: with like with Mexican Americans. I mean I just gone 614 00:29:47,360 --> 00:29:50,640 Speaker 6: back from Arizona and I was talking to Mexican Americans 615 00:29:50,920 --> 00:29:54,680 Speaker 6: that in conversation you sort of start to to hear, 616 00:29:55,240 --> 00:29:58,880 Speaker 6: know these the verious subtle references to like those immigrants 617 00:29:59,200 --> 00:30:01,400 Speaker 6: and those criminals. And I think part of what I'm 618 00:30:01,400 --> 00:30:03,520 Speaker 6: trying to do in the book is so people understand 619 00:30:03,520 --> 00:30:06,680 Speaker 6: that like to be Latino doesn't make you immune to 620 00:30:06,720 --> 00:30:09,040 Speaker 6: the anti imbgrant sentiment. In fact, that it actually makes 621 00:30:09,080 --> 00:30:11,480 Speaker 6: a lot of sense, right because we're talking about a 622 00:30:11,520 --> 00:30:14,000 Speaker 6: Latino liketriy that is so different from what it was 623 00:30:14,040 --> 00:30:17,520 Speaker 6: thirty years ago. Like right now, it is third generation 624 00:30:17,840 --> 00:30:20,640 Speaker 6: Latinos that are the fastest great segment within their voting 625 00:30:20,680 --> 00:30:22,480 Speaker 6: black And so we're talking about a segment of people 626 00:30:22,520 --> 00:30:25,480 Speaker 6: that right now are born in the United States, are 627 00:30:25,520 --> 00:30:28,560 Speaker 6: super young, and prefer to speak English and Spanish. And 628 00:30:28,640 --> 00:30:32,280 Speaker 6: so when you taught to them, perhaps the country sees 629 00:30:32,320 --> 00:30:35,400 Speaker 6: them as immigrants or as Latinos, they see themselves as 630 00:30:35,400 --> 00:30:38,120 Speaker 6: fully American, and sort of the key in the heart 631 00:30:38,440 --> 00:30:41,000 Speaker 6: of what makes it such a complicated conversation is that 632 00:30:41,360 --> 00:30:43,320 Speaker 6: there is this sort of amongst them, no, but there's 633 00:30:43,360 --> 00:30:48,120 Speaker 6: this sort of subtle like fear, this unconscious fear that America, 634 00:30:48,160 --> 00:30:51,000 Speaker 6: particularly white America, will always look at them as these 635 00:30:51,000 --> 00:30:54,760 Speaker 6: like perpetual foreigners. Right because that anti immigrant sentiment is 636 00:30:54,800 --> 00:30:57,480 Speaker 6: so strong, Like study after study after study showed you 637 00:30:57,560 --> 00:31:00,960 Speaker 6: that like I just phrase like as Mexican emigrant increases 638 00:31:00,960 --> 00:31:05,040 Speaker 6: in some counties, white people's attitudes towards their black neighbors 639 00:31:05,080 --> 00:31:09,000 Speaker 6: become more positive, but their attitudes towards their Latino neighbors 640 00:31:09,240 --> 00:31:11,920 Speaker 6: become more negative. I mean, you've talked about this so 641 00:31:12,080 --> 00:31:15,880 Speaker 6: many times, like the anti immigrant sentiment that cenophobia can 642 00:31:15,960 --> 00:31:19,760 Speaker 6: at times subdue like anti blackness. But so here you 643 00:31:19,920 --> 00:31:24,000 Speaker 6: have like a growing group of Latinos that that wants 644 00:31:24,000 --> 00:31:26,120 Speaker 6: to feel like they belong, and not only that, they 645 00:31:26,160 --> 00:31:29,080 Speaker 6: have to prove that they belong even though they're folio Americans. 646 00:31:29,080 --> 00:31:32,600 Speaker 6: So you know, so it's it's that's the hard part 647 00:31:32,640 --> 00:31:34,720 Speaker 6: to understand, like where it all comes from. And so yeah, 648 00:31:34,840 --> 00:31:38,240 Speaker 6: you have like Mexican Americans and other Latinos across the 649 00:31:38,240 --> 00:31:41,520 Speaker 6: board that are buying into the anti Morgant sentiment as 650 00:31:41,560 --> 00:31:44,200 Speaker 6: well as some Latinos that are buying into the like 651 00:31:44,240 --> 00:31:47,600 Speaker 6: anti blackness. There's a reason why Donald Trump went to 652 00:31:47,720 --> 00:31:50,800 Speaker 6: the Bronx, right, we were all laughing, but their racial 653 00:31:50,840 --> 00:31:52,600 Speaker 6: grievance totally. 654 00:31:52,480 --> 00:31:55,000 Speaker 2: And he had huge numbers in the Bronx. 655 00:31:55,200 --> 00:31:57,320 Speaker 1: The thing that I always think about Trump is that 656 00:31:57,560 --> 00:32:00,560 Speaker 1: one of the things Trump does very smart like is 657 00:32:00,600 --> 00:32:04,840 Speaker 1: that he offers people who are being offered nothing something exactly. 658 00:32:05,080 --> 00:32:07,120 Speaker 6: That's exactly right. It's so smart. Like one of the 659 00:32:07,240 --> 00:32:09,440 Speaker 6: things that he did in this campaign is in twenty 660 00:32:09,440 --> 00:32:13,959 Speaker 6: sixteen or in twenty twenty, the label was Latinos for Trump, right, 661 00:32:13,960 --> 00:32:16,800 Speaker 6: and then in twenty twenty four he's changed it to 662 00:32:17,240 --> 00:32:20,840 Speaker 6: Latino Americans for Trump, the emphasis on Americans. 663 00:32:20,880 --> 00:32:22,720 Speaker 5: And I think that's like he is. 664 00:32:22,680 --> 00:32:25,600 Speaker 6: So convinced that at this point there's a segment of 665 00:32:25,640 --> 00:32:29,040 Speaker 6: Latinos that have become so assimilated or or that want 666 00:32:29,120 --> 00:32:32,120 Speaker 6: to assimilate so much that they too will buy into 667 00:32:32,120 --> 00:32:34,680 Speaker 6: the nativism and the anti emergan sentiments and the anti 668 00:32:34,760 --> 00:32:37,320 Speaker 6: blackness and the sort of you know, trans cultural words, 669 00:32:37,360 --> 00:32:41,160 Speaker 6: and like that's it. Now, make those people believe that 670 00:32:41,200 --> 00:32:44,880 Speaker 6: they to are American, even though fundamentally Trump is completely 671 00:32:45,320 --> 00:32:49,000 Speaker 6: like you know, neglects them and fundamentally disavows them. But 672 00:32:49,040 --> 00:32:51,280 Speaker 6: make them believe that they're American, and it works. 673 00:32:51,720 --> 00:32:52,040 Speaker 2: Yeah. 674 00:32:52,120 --> 00:32:55,160 Speaker 1: I think that's right, And I think that that is 675 00:32:55,840 --> 00:32:59,200 Speaker 1: a good point. He can't quite square the circle though 676 00:32:59,520 --> 00:33:00,440 Speaker 1: in this election. 677 00:33:00,600 --> 00:33:02,760 Speaker 2: You think or now, no. 678 00:33:02,840 --> 00:33:03,720 Speaker 5: And I'll tell you why. 679 00:33:03,800 --> 00:33:06,560 Speaker 6: Like I think, like we said, like, we will not 680 00:33:06,640 --> 00:33:09,280 Speaker 6: hear a story where Donald Trump wins the election with 681 00:33:09,360 --> 00:33:11,600 Speaker 6: Latinos part of the reason why. And I just I 682 00:33:11,680 --> 00:33:14,720 Speaker 6: just got back from Arizona and one of the things 683 00:33:14,720 --> 00:33:17,120 Speaker 6: that I was doing in Arizona was talking to mixed 684 00:33:17,160 --> 00:33:20,280 Speaker 6: status families. And so we're talking about, you know, moms 685 00:33:20,320 --> 00:33:22,080 Speaker 6: that are dreamers that have been here for over twenty 686 00:33:22,200 --> 00:33:24,760 Speaker 6: years that now have US citizen children. 687 00:33:24,600 --> 00:33:29,960 Speaker 1: And FYI, almost all families are mixed status families one 688 00:33:30,040 --> 00:33:30,840 Speaker 1: hundred percent. 689 00:33:30,960 --> 00:33:33,560 Speaker 6: And I think that's that's such an important point to 690 00:33:33,600 --> 00:33:35,280 Speaker 6: put out there because when we're talking about like the 691 00:33:35,360 --> 00:33:38,440 Speaker 6: Latina voting blockber immigration, like now we can say that 692 00:33:38,520 --> 00:33:41,600 Speaker 6: like everyone's impacted, right, Like there's over ten million US 693 00:33:41,600 --> 00:33:45,520 Speaker 6: citizens that live within and among mix status families, right, 694 00:33:45,560 --> 00:33:47,520 Speaker 6: and so there's millions and millions of Americans that like, 695 00:33:47,920 --> 00:33:49,960 Speaker 6: you know, this is what they have to to face. 696 00:33:50,320 --> 00:33:52,840 Speaker 6: And so my point is, as we speak and as 697 00:33:52,880 --> 00:33:56,640 Speaker 6: we approach the election, there are thousands of mixed status families, 698 00:33:56,680 --> 00:33:59,440 Speaker 6: particularly in a battle bread state like Arizona, that are 699 00:33:59,480 --> 00:34:03,480 Speaker 6: literally thinking about what self deportation plans will look like 700 00:34:03,560 --> 00:34:06,000 Speaker 6: if Donald Trump wins the election. And like I was 701 00:34:06,000 --> 00:34:09,279 Speaker 6: having conversations with them, we're literally a mom had to 702 00:34:09,920 --> 00:34:12,960 Speaker 6: figure out who would have custody of her US children 703 00:34:13,200 --> 00:34:17,560 Speaker 6: if Trump wins, right, because they're thinking back to just 704 00:34:17,600 --> 00:34:19,640 Speaker 6: a couple of years, back to the years of Sheriff 705 00:34:19,680 --> 00:34:23,040 Speaker 6: jor Pyo, where racial profiling happened, where people were knocking 706 00:34:23,040 --> 00:34:24,640 Speaker 6: on their doors. And so it's real. And I think 707 00:34:24,719 --> 00:34:28,200 Speaker 6: precisely because of what we learned from Arizona, which is 708 00:34:28,239 --> 00:34:32,000 Speaker 6: that as our Pio heard of his rise, so too 709 00:34:32,120 --> 00:34:35,040 Speaker 6: were the number of Latino voters and that created a backlash. 710 00:34:35,239 --> 00:34:38,200 Speaker 6: And so there is this mobilizing force in places like 711 00:34:38,239 --> 00:34:42,279 Speaker 6: Arizona that are being energized when they hear this antimager 712 00:34:42,360 --> 00:34:44,520 Speaker 6: rhetoric and they're going to go vote right, Like these 713 00:34:44,600 --> 00:34:47,200 Speaker 6: kids that saw their parents being deported and detained and 714 00:34:47,320 --> 00:34:49,720 Speaker 6: racial and profiled. They did it one time in Arizona 715 00:34:49,760 --> 00:34:51,719 Speaker 6: in twenty twenty. That's one of the reasons why Joe 716 00:34:51,719 --> 00:34:54,400 Speaker 6: Biden won, but by almost less than one percent, but 717 00:34:54,480 --> 00:34:55,920 Speaker 6: he won, and they're going to do it again. And 718 00:34:55,960 --> 00:34:59,520 Speaker 6: I still think that will carry more weight than than 719 00:34:59,600 --> 00:35:01,680 Speaker 6: the sort of of like write worship that is also happening. 720 00:35:01,680 --> 00:35:03,520 Speaker 6: You know, think true stories can be real out once, 721 00:35:03,600 --> 00:35:03,879 Speaker 6: you know. 722 00:35:04,160 --> 00:35:08,200 Speaker 1: I agree, and I think that's probably right. The polls 723 00:35:08,320 --> 00:35:12,480 Speaker 1: have been really tight from Arizona. But they've been really 724 00:35:12,520 --> 00:35:14,840 Speaker 1: tight at the top of the ticket, and they show Rubin, 725 00:35:15,239 --> 00:35:17,920 Speaker 1: you know, just absolutely crushing carry like at the bottom 726 00:35:17,960 --> 00:35:20,120 Speaker 1: of the ticket. I think she will yeah, yeah, So 727 00:35:20,280 --> 00:35:22,880 Speaker 1: make it make sense. Are the Ruben Trump voters? I 728 00:35:22,880 --> 00:35:26,799 Speaker 1: mean that seems insane to me. But Rubin is Latino too. 729 00:35:27,320 --> 00:35:29,840 Speaker 6: He is Latino. He has something that's so interesting. Like 730 00:35:29,840 --> 00:35:32,560 Speaker 6: I was having a conversation with the sheriff in Penell County. 731 00:35:32,560 --> 00:35:36,600 Speaker 6: He's a Trump supporter, and he, you know, even though 732 00:35:36,600 --> 00:35:40,120 Speaker 6: he's conservative, he's a Trump supporter. She's pro you know, 733 00:35:40,280 --> 00:35:43,879 Speaker 6: mass reportations. But in Rubin, he sort of sees his 734 00:35:43,920 --> 00:35:46,920 Speaker 6: military and background, you know, and she sees his toughness, 735 00:35:47,000 --> 00:35:49,440 Speaker 6: and she sees the Democrat that we have to recognize 736 00:35:49,480 --> 00:35:51,400 Speaker 6: it is no longer going to the left when it 737 00:35:51,400 --> 00:35:53,560 Speaker 6: comes to e regration. But just like you know, the 738 00:35:53,640 --> 00:35:56,719 Speaker 6: Vice president, they're going center right, and so that is 739 00:35:56,760 --> 00:35:59,839 Speaker 6: making a huge difference. No, now we're suddenly these demo 740 00:36:00,160 --> 00:36:02,520 Speaker 6: at in a place I maybe four years ago you 741 00:36:02,600 --> 00:36:06,120 Speaker 6: heard of Joe Biden promised comprehensive immigration reform and a 742 00:36:06,200 --> 00:36:10,160 Speaker 6: more humane asylum system and you know, humanity at the border. 743 00:36:10,280 --> 00:36:13,719 Speaker 6: Those sigging points are gone. It's that's really helping a 744 00:36:13,800 --> 00:36:16,520 Speaker 6: Ruben Diego. And I think it'll it'll come down to 745 00:36:16,640 --> 00:36:19,200 Speaker 6: that formula that I think the Democrats are are sort 746 00:36:19,200 --> 00:36:22,400 Speaker 6: of leaning into, no, leaning to the center right on immigration, 747 00:36:22,920 --> 00:36:26,080 Speaker 6: try and remember and try and get people to understand 748 00:36:26,160 --> 00:36:29,920 Speaker 6: how cruel these like dehumanizing language is. But I think 749 00:36:29,960 --> 00:36:33,320 Speaker 6: that center right approach is what everyone's counting on. And 750 00:36:33,480 --> 00:36:36,960 Speaker 6: activists aren't happy about that. I'll tell you that, No, I'm. 751 00:36:36,800 --> 00:36:38,279 Speaker 2: Not even that happy about it. 752 00:36:38,320 --> 00:36:40,920 Speaker 6: But it's the way to win, that's right exactly. 753 00:36:41,239 --> 00:36:45,600 Speaker 1: So you do think that there are Diego Trump voters. 754 00:36:45,800 --> 00:36:47,359 Speaker 6: I'm trying to think of those people and know that 755 00:36:47,360 --> 00:36:49,400 Speaker 6: that would do something like that, that those like a 756 00:36:49,480 --> 00:36:52,200 Speaker 6: Latino voter that would go for a Ruben Diego and 757 00:36:52,320 --> 00:36:56,120 Speaker 6: not for a you know, Diego Harris ticket. Yeah, And 758 00:36:56,160 --> 00:36:58,320 Speaker 6: I think they would come down to like the miss 759 00:36:58,400 --> 00:37:02,359 Speaker 6: and disinformation around now, if you're sort of a Ladina, 760 00:37:02,600 --> 00:37:06,600 Speaker 6: you know, support that's curious around Trump, and what really 761 00:37:06,680 --> 00:37:09,799 Speaker 6: resonates with you is the missing disinformation about her being 762 00:37:09,800 --> 00:37:13,200 Speaker 6: a communist now, about her being like the borders zar. 763 00:37:13,640 --> 00:37:17,600 Speaker 6: What really really resonates with you is sort of depicting 764 00:37:17,640 --> 00:37:20,960 Speaker 6: her as someone that is really aligned with like the 765 00:37:21,080 --> 00:37:25,880 Speaker 6: LGBTQ queer like trans community. There's certain talking points that 766 00:37:25,960 --> 00:37:28,720 Speaker 6: I think, you know, the right is trying really really 767 00:37:28,760 --> 00:37:30,680 Speaker 6: hard to associate with her that I think a guy 768 00:37:30,880 --> 00:37:33,520 Speaker 6: will to sort of distance himself from that now because 769 00:37:33,520 --> 00:37:36,799 Speaker 6: he's local, he knows the border, he's a military guy, 770 00:37:37,080 --> 00:37:40,279 Speaker 6: he's a tough guy. But I think that's where like 771 00:37:40,440 --> 00:37:43,960 Speaker 6: a lot of the miss and disinformation like works. Now 772 00:37:44,040 --> 00:37:47,040 Speaker 6: there's a distance with her, in a sort of discomfort 773 00:37:47,080 --> 00:37:50,279 Speaker 6: with her, again among a small group, but it does work. No, 774 00:37:50,480 --> 00:37:52,040 Speaker 6: I mean I think about the fact all the time, 775 00:37:52,080 --> 00:37:57,040 Speaker 6: Like in twenty twenty more Latinas believe that Democrats were 776 00:37:57,080 --> 00:38:01,320 Speaker 6: headed towards communism, then they believed that Republicans were headed 777 00:38:01,360 --> 00:38:05,400 Speaker 6: towards fascism. No, and that's where you see it. Yeah, 778 00:38:05,440 --> 00:38:08,400 Speaker 6: it's crazy, but that's where they're so good at. No, 779 00:38:08,560 --> 00:38:11,439 Speaker 6: it's the narrative that like the mas and the disinformation, 780 00:38:11,520 --> 00:38:14,160 Speaker 6: it's on the radio, it's on What's Up, it's on Facebook, 781 00:38:14,239 --> 00:38:15,840 Speaker 6: Like that's where they do really well. 782 00:38:16,080 --> 00:38:21,480 Speaker 1: Let's talk about the radio stuff, because that's pretty interesting. 783 00:38:21,960 --> 00:38:25,120 Speaker 1: Talk to me about what that looks like. Because there 784 00:38:25,160 --> 00:38:28,920 Speaker 1: are these Spanish language radio stations they're a big deal. 785 00:38:29,560 --> 00:38:31,080 Speaker 2: What does that landscape look like? 786 00:38:31,200 --> 00:38:32,719 Speaker 6: It's so different, you know, the same way that we 787 00:38:32,760 --> 00:38:36,000 Speaker 6: say that Latinos are a monolith, like the Spanish language 788 00:38:36,080 --> 00:38:39,440 Speaker 6: media ecosystem is changing so much, and it looks so 789 00:38:39,680 --> 00:38:41,680 Speaker 6: different from state of stateium. You go to a place 790 00:38:41,760 --> 00:38:44,600 Speaker 6: like South Florida and Miami, obviously Miami Daye County, the 791 00:38:44,719 --> 00:38:48,560 Speaker 6: heart know of a state like Florida, more often than not, 792 00:38:48,840 --> 00:38:53,640 Speaker 6: you will hear conservative radio hosts spreading the big lie 793 00:38:54,080 --> 00:38:57,279 Speaker 6: and still doubling down on the communist talking point, like 794 00:38:57,320 --> 00:38:59,719 Speaker 6: that is still happening right now. And if you go 795 00:38:59,760 --> 00:39:03,400 Speaker 6: to like Arizona that has a larger population of like 796 00:39:03,440 --> 00:39:06,759 Speaker 6: immigrant families and mixed status families, you there see some 797 00:39:06,840 --> 00:39:10,680 Speaker 6: small radio stations that are like long like historically associated 798 00:39:10,719 --> 00:39:13,080 Speaker 6: for instance, with the like Ceasar of Tatler's movement, that 799 00:39:13,120 --> 00:39:15,479 Speaker 6: are trying so hard day and day out so sort 800 00:39:15,480 --> 00:39:18,600 Speaker 6: of put the politics aside and keep the immigrant community informed. 801 00:39:18,640 --> 00:39:20,719 Speaker 6: Knowing that's and and if you tune in, it's like 802 00:39:20,880 --> 00:39:24,120 Speaker 6: most most of these like small Latino led organizations that 803 00:39:24,160 --> 00:39:26,760 Speaker 6: are like trying really hard to like cut through that noise. 804 00:39:26,800 --> 00:39:28,799 Speaker 6: But I think what I will say is that in 805 00:39:28,920 --> 00:39:32,960 Speaker 6: since twenty twenty until now, there has been a concerted 806 00:39:33,000 --> 00:39:36,600 Speaker 6: effort by some Republicans to change the direction of Spanish 807 00:39:36,680 --> 00:39:39,879 Speaker 6: language media for it to be more conservative. When we're 808 00:39:39,880 --> 00:39:43,400 Speaker 6: talking about television, I've talked to so many different business folks, 809 00:39:43,400 --> 00:39:46,000 Speaker 6: like Republican Latino business folks that tell me one thing, 810 00:39:46,160 --> 00:39:48,640 Speaker 6: and that is, I don't want to create the Spanish 811 00:39:48,719 --> 00:39:51,440 Speaker 6: language fosslings. And they're trying, you know, and they're and 812 00:39:51,480 --> 00:39:53,799 Speaker 6: they're doing it at small scale like you see in 813 00:39:53,880 --> 00:39:56,800 Speaker 6: like in Texas, like there's there's people that are already 814 00:39:56,800 --> 00:39:59,760 Speaker 6: trying to do that, like partnering with like Christian Television 815 00:39:59,840 --> 00:40:02,359 Speaker 6: that work to make sure that like Christian City has 816 00:40:02,440 --> 00:40:05,719 Speaker 6: Spanish language content. And so I think that, you know, 817 00:40:05,760 --> 00:40:09,719 Speaker 6: there's the shift is happening everywhere now what used to 818 00:40:09,760 --> 00:40:12,359 Speaker 6: be Spanish language CV and radio like twenty thirty years ago, 819 00:40:13,160 --> 00:40:14,960 Speaker 6: like back in the day where like people would like 820 00:40:15,080 --> 00:40:18,279 Speaker 6: listen to my dad, tune into a newscast and just 821 00:40:18,600 --> 00:40:19,960 Speaker 6: believe the host. 822 00:40:19,760 --> 00:40:20,680 Speaker 5: Like that's gone. 823 00:40:20,760 --> 00:40:21,320 Speaker 2: That's it. 824 00:40:21,320 --> 00:40:22,520 Speaker 6: It's so different right now. 825 00:40:22,680 --> 00:40:28,280 Speaker 1: Yeah, wow, so interesting. What groups are Republicans really unable 826 00:40:28,360 --> 00:40:28,680 Speaker 1: to get? 827 00:40:28,840 --> 00:40:31,279 Speaker 6: I mean, I think what's interesting now is that there's 828 00:40:31,280 --> 00:40:33,320 Speaker 6: sort of like the two forces and not on the left. 829 00:40:33,360 --> 00:40:39,520 Speaker 6: You have this sort of Republican right word shift happening 830 00:40:39,719 --> 00:40:43,000 Speaker 6: not just about produce your Republican folks, but about many 831 00:40:43,160 --> 00:40:46,440 Speaker 6: Latinos that are now more assimilated americanizing that are curious. 832 00:40:46,520 --> 00:40:48,520 Speaker 6: But then, and this is where I think it's more interesting, 833 00:40:48,800 --> 00:40:51,719 Speaker 6: then you have the youth vote. Now, then you have 834 00:40:51,840 --> 00:40:55,399 Speaker 6: the third generation Latinos that if you start to doom in, 835 00:40:55,680 --> 00:40:58,680 Speaker 6: you know, you understand that like among all the millennial generation, 836 00:40:58,880 --> 00:41:02,279 Speaker 6: it is Latinos that are more likely to identify themselves 837 00:41:02,440 --> 00:41:05,000 Speaker 6: as queer. No, you have a generation that doesn't speak 838 00:41:05,120 --> 00:41:07,279 Speaker 6: in Spanish or in English, but in Spanish, you have 839 00:41:07,320 --> 00:41:09,759 Speaker 6: a generation that's not scared to lean into being like 840 00:41:09,920 --> 00:41:13,840 Speaker 6: after Latino and indigenous and queer. And so what happens 841 00:41:13,840 --> 00:41:17,560 Speaker 6: with that block is not only do they feel more 842 00:41:17,640 --> 00:41:19,920 Speaker 6: freedom to be themselves, which is like such a beautiful 843 00:41:19,960 --> 00:41:22,760 Speaker 6: thing and distinguishes themselves from the older generations of Latinos 844 00:41:22,760 --> 00:41:25,360 Speaker 6: that sort of had to like fit into stereotypes, but 845 00:41:25,760 --> 00:41:28,759 Speaker 6: they feel more empowered to challenge the Democratic Party, to 846 00:41:28,840 --> 00:41:32,600 Speaker 6: hold the Democratic more accountable, to ask for champaigns to 847 00:41:32,600 --> 00:41:35,279 Speaker 6: be there not just a month before, but a year, two, 848 00:41:35,360 --> 00:41:37,799 Speaker 6: three before, and it's happening like the way that the 849 00:41:37,880 --> 00:41:41,359 Speaker 6: Vice President and Joe Biden's team was campaigning and trying 850 00:41:41,400 --> 00:41:44,320 Speaker 6: to get the Latino vote this year, it happened way 851 00:41:44,400 --> 00:41:47,240 Speaker 6: before any other years now. So I think that's the difference. 852 00:41:47,280 --> 00:41:51,920 Speaker 6: So there's this progressive rising young Latina vote. They're leanings 853 00:41:52,200 --> 00:41:55,040 Speaker 6: being Democrats, but they're independent in the sense that they 854 00:41:55,120 --> 00:41:57,000 Speaker 6: know that people now have to fight for their vote 855 00:41:57,000 --> 00:41:58,759 Speaker 6: in a way that perhaps they didn't have to do 856 00:41:58,800 --> 00:41:59,960 Speaker 6: it for their grand turns or their pain. 857 00:42:00,480 --> 00:42:04,160 Speaker 1: It's also part of it, though, is that they're not religious, 858 00:42:04,600 --> 00:42:07,040 Speaker 1: like Latinos are becoming less religious. 859 00:42:07,520 --> 00:42:10,160 Speaker 6: Sure, and that's again it's like everything's always I always 860 00:42:10,200 --> 00:42:11,920 Speaker 6: go back to like two things are always happening at 861 00:42:11,960 --> 00:42:14,960 Speaker 6: the same time. It's like the rate of Latinos that 862 00:42:15,000 --> 00:42:19,240 Speaker 6: are athlic is like plummeting, but there's always a butt. 863 00:42:19,400 --> 00:42:23,720 Speaker 6: But the amount of Latinas that are converting to evangelicalism 864 00:42:23,840 --> 00:42:27,080 Speaker 6: is writing in this moment, Latinos are the fastest spring 865 00:42:27,120 --> 00:42:31,000 Speaker 6: group of the American evangelicals, right, They're outpacing white evangelicals 866 00:42:31,000 --> 00:42:34,080 Speaker 6: in their ray. So part of that why so part 867 00:42:34,120 --> 00:42:36,920 Speaker 6: of that is because and you're right, like as we 868 00:42:37,000 --> 00:42:40,760 Speaker 6: are becoming less religious, there's this sort of new phenomenon happening, 869 00:42:40,840 --> 00:42:43,480 Speaker 6: and part of that is linked to Latin America. So 870 00:42:43,640 --> 00:42:46,040 Speaker 6: many of the asylum seekers, in the migrants that have 871 00:42:46,080 --> 00:42:48,239 Speaker 6: come to this country in the last ten years, I've 872 00:42:48,239 --> 00:42:51,880 Speaker 6: been carrying these evangelical beliefs. Think of a country like Guatemala, 873 00:42:51,880 --> 00:42:54,879 Speaker 6: and Guatemala right now is forty percent evangelical. 874 00:42:55,040 --> 00:42:55,799 Speaker 5: I saw the door. 875 00:42:55,920 --> 00:42:59,800 Speaker 6: Brazil thirty percent evangelical. And so there's this evangelical boom 876 00:42:59,800 --> 00:43:02,480 Speaker 6: that's happening in Latin America. A lot of people are 877 00:43:02,560 --> 00:43:05,279 Speaker 6: cheering that with them, with them here for years, they've 878 00:43:05,280 --> 00:43:08,759 Speaker 6: been stepping into these evangelical churches that were not political. 879 00:43:08,840 --> 00:43:10,960 Speaker 6: Now that we're sort of this like sense of refuge 880 00:43:10,960 --> 00:43:13,799 Speaker 6: in the safe place and a sort of sanctuary place 881 00:43:13,840 --> 00:43:17,120 Speaker 6: for many people, while in the last five years they're 882 00:43:17,120 --> 00:43:21,280 Speaker 6: becoming more politicized. I mean Donald Trump started his Evangelicals 883 00:43:21,360 --> 00:43:25,760 Speaker 6: for Trump, his national Evangelicals for Trump campaign in twenty twenty. 884 00:43:26,120 --> 00:43:30,040 Speaker 6: Not in Ohio, not in Wisconsin, out in Pennsylvania. He 885 00:43:30,120 --> 00:43:33,359 Speaker 6: started it in Miami Dade County, targetting Latinos because they 886 00:43:33,480 --> 00:43:36,279 Speaker 6: understand and that's kind of what's happening. You know, Republicans 887 00:43:36,320 --> 00:43:38,400 Speaker 6: have understood the same way that the Christian wright has 888 00:43:38,440 --> 00:43:41,640 Speaker 6: understood the same way that like evangelicals have understood. Trump 889 00:43:41,680 --> 00:43:45,439 Speaker 6: isam has understood that they cannot survive without some portion 890 00:43:45,600 --> 00:43:47,879 Speaker 6: of the Latino bol right, and that's what they're going into. 891 00:43:48,160 --> 00:43:51,799 Speaker 2: That's interesting. Thank you, thank you, thank you, thank you, 892 00:43:52,080 --> 00:43:52,520 Speaker 2: thank you. 893 00:43:52,880 --> 00:43:54,880 Speaker 6: Thank you so much for letting me talk about this. 894 00:43:57,239 --> 00:44:04,120 Speaker 4: Nose canon Molly junk Fast. So Job mcintee, who you 895 00:44:04,200 --> 00:44:09,040 Speaker 4: may remember from Project twenty twenty five, being Trump's deputy president. 896 00:44:09,320 --> 00:44:11,600 Speaker 4: I'm going to shock you here. Guy from the Trump administration. 897 00:44:11,840 --> 00:44:12,560 Speaker 4: Not a good guy. 898 00:44:12,760 --> 00:44:15,439 Speaker 1: So he's one of the architects of Project twenty twenty five. 899 00:44:15,760 --> 00:44:20,000 Speaker 1: He is also, I might add, a person who works 900 00:44:20,080 --> 00:44:23,960 Speaker 1: at the Peter Tiel back to dating app the right stuff. 901 00:44:24,320 --> 00:44:28,400 Speaker 1: So today Wire Magazine reported that he was talking on 902 00:44:28,600 --> 00:44:32,759 Speaker 1: that he was texting with two different eighteen year old 903 00:44:32,800 --> 00:44:36,840 Speaker 1: college freshmen and they both said that they felt that 904 00:44:36,960 --> 00:44:40,400 Speaker 1: he was inappropriate with them in online conversations. 905 00:44:40,560 --> 00:44:42,120 Speaker 2: Often this is not a one off. 906 00:44:42,239 --> 00:44:45,319 Speaker 1: But we'll see, right, we'll see if this is just 907 00:44:45,640 --> 00:44:49,279 Speaker 1: how he behaved with two people in complete isolation and 908 00:44:49,320 --> 00:44:49,759 Speaker 1: never again. 909 00:44:49,840 --> 00:44:50,360 Speaker 2: We'll see. 910 00:44:50,480 --> 00:44:53,160 Speaker 1: But that my friend, the guy who worked on Project 911 00:44:53,200 --> 00:44:55,520 Speaker 1: twenty twenty five. He's also the guy who did the 912 00:44:55,600 --> 00:44:58,239 Speaker 1: video where he said that Harris was lying when she 913 00:44:58,280 --> 00:45:00,720 Speaker 1: talked about a woman bleeding out in a parking lot. 914 00:45:01,280 --> 00:45:02,720 Speaker 2: Remember that TikTok video? 915 00:45:03,000 --> 00:45:03,440 Speaker 3: I sure do. 916 00:45:04,000 --> 00:45:06,840 Speaker 4: I also remember the one where he talks about giving 917 00:45:06,840 --> 00:45:07,960 Speaker 4: fake money the homeless. 918 00:45:08,280 --> 00:45:12,000 Speaker 2: Yeah, that guy. Shockingly, that guy is not a good guy. 919 00:45:12,400 --> 00:45:13,359 Speaker 3: Never would have guessed it. 920 00:45:14,520 --> 00:45:17,120 Speaker 2: That's it for this episode of Fast Politics. 921 00:45:17,440 --> 00:45:20,359 Speaker 1: Tune in every Monday, Wednesday, and Friday to hear the 922 00:45:20,400 --> 00:45:23,840 Speaker 1: best minds in politics makes sense of all this chaos. 923 00:45:24,120 --> 00:45:26,680 Speaker 1: If you enjoyed what you've heard, please send it to 924 00:45:26,719 --> 00:45:30,120 Speaker 1: a friend and keep the conversation going. And again, thanks 925 00:45:30,160 --> 00:45:30,760 Speaker 1: for listening.