1 00:00:00,730 --> 00:00:03,520 Speaker 1: Welcome to Fast Politics. I'm Molly Johnpost and we have 2 00:00:03,710 --> 00:00:06,760 Speaker 1: such a great show for you today. Later in the show, 3 00:00:06,820 --> 00:00:11,560 Speaker 1: we'll talk to Senator Tammy Baldwin about holding Trump accountable. Plus, 4 00:00:11,820 --> 00:00:15,290 Speaker 1: as a bonus, we have journalist and author Beth Macy, 5 00:00:15,570 --> 00:00:18,470 Speaker 1: who will talk to us about her run to flip 6 00:00:18,570 --> 00:00:23,029 Speaker 1: Virginia's sixth congressional district. But first, we have The Lincoln 7 00:00:23,070 --> 00:00:27,060 Speaker 1: Project's Rick Wilson to talk about the weaponization of Trump's 8 00:00:27,200 --> 00:00:29,540 Speaker 1: Justice Department. Rick Wilson. 9 00:00:29,920 --> 00:00:30,700 Speaker 2: Hey, how are you? 10 00:00:30,940 --> 00:00:35,540 Speaker 1: The Trump DOJ exists to prosecute the enemies of Donald Trump. 11 00:00:35,900 --> 00:00:36,839 Speaker 1: whoever they may be. 12 00:00:37,020 --> 00:00:37,460 Speaker 3: Yes. 13 00:00:37,780 --> 00:00:40,450 Speaker 1: And nothing else, as far as I can tell, right? 14 00:00:40,710 --> 00:00:43,110 Speaker 2: It is also to keep the Epstein files under, on 15 00:00:43,250 --> 00:00:46,650 Speaker 2: ice until such time as Donald Trump falls off the 16 00:00:46,690 --> 00:00:48,120 Speaker 2: face of the earth. It is true. At which point 17 00:00:48,130 --> 00:00:50,180 Speaker 2: everyone will go, how did they keep this horror from 18 00:00:50,240 --> 00:00:51,200 Speaker 2: us for so long? 19 00:00:51,420 --> 00:00:56,390 Speaker 1: The Epstein files, I mean... You find a DOJ, find 20 00:00:56,430 --> 00:00:58,850 Speaker 1: a person who can make, who can get rid of 21 00:00:58,900 --> 00:01:01,120 Speaker 1: stuff the way the DOJ can get rid of the 22 00:01:01,180 --> 00:01:02,860 Speaker 1: Epstein Files, because we know. 23 00:01:02,960 --> 00:01:04,520 Speaker 2: And I want to bring Todd Blanchard over to clean 24 00:01:04,540 --> 00:01:07,890 Speaker 2: out my garage. Because there will be spotless. You can 25 00:01:07,990 --> 00:01:09,370 Speaker 2: eat off the floor at this point. 26 00:01:09,750 --> 00:01:14,209 Speaker 1: We know there are at least 3 million more Epstein files, right? 27 00:01:14,410 --> 00:01:15,490 Speaker 2: Yeah, I do. 28 00:01:15,850 --> 00:01:18,230 Speaker 1: And the other thing which I always wondered about was 29 00:01:18,470 --> 00:01:21,650 Speaker 1: the tapes, because there are also tapes, tapes, tapes. 30 00:01:21,750 --> 00:01:24,190 Speaker 2: The ones that Blanche one time said, there are absolutely 31 00:01:24,230 --> 00:01:27,050 Speaker 2: no tapes, and then all the inventories talk about videotapes 32 00:01:27,090 --> 00:01:31,110 Speaker 2: seized from Epstein's house in Little St. John, his house 33 00:01:31,150 --> 00:01:33,970 Speaker 2: in Palm Beach, his house in New York, his house 34 00:01:34,780 --> 00:01:37,959 Speaker 2: at the Zorro Death Ranch out there in New Mexico. 35 00:01:38,060 --> 00:01:40,910 Speaker 2: The fact that Todd Blanch is about to face a 36 00:01:40,970 --> 00:01:45,369 Speaker 2: Democratic Senate. Delights me more than I can say. 37 00:01:45,610 --> 00:01:47,810 Speaker 1: Wait, do you really think Democrats are going to flip 38 00:01:47,870 --> 00:01:48,490 Speaker 1: the Senate? 39 00:01:48,770 --> 00:01:49,310 Speaker 2: I do now. 40 00:01:49,580 --> 00:01:54,200 Speaker 1: Okay, so the DOJ, besides hiding the Epstein files, which 41 00:01:54,240 --> 00:02:00,650 Speaker 1: we know they have, and FYI, fighting with New Mexico's AG, 42 00:02:01,190 --> 00:02:04,950 Speaker 1: Raul Torres, who's been on this podcast, preventing him from 43 00:02:05,010 --> 00:02:08,929 Speaker 1: doing the investigation into Zorro Ranch, which was bought by 44 00:02:08,970 --> 00:02:11,900 Speaker 1: a Trump ally. I mean, by the way, this is 45 00:02:11,960 --> 00:02:14,620 Speaker 1: like such an amazing, we know, or at least some 46 00:02:14,660 --> 00:02:17,260 Speaker 1: of the girls have said they believe that there are 47 00:02:17,280 --> 00:02:22,700 Speaker 1: girls buried around Zorro Ranch, an investigation into that would 48 00:02:22,960 --> 00:02:25,880 Speaker 1: make clear if there were or were not. And we'd 49 00:02:25,919 --> 00:02:28,660 Speaker 1: be able to see because human remains remain. 50 00:02:28,680 --> 00:02:30,380 Speaker 2: Yeah, they tend to. 51 00:02:30,419 --> 00:02:35,910 Speaker 1: They stick around. Especially in dry desert climates. Right. But instead, 52 00:02:36,330 --> 00:02:39,350 Speaker 1: the DOJ has fought really hard to prevent that from going. 53 00:02:39,389 --> 00:02:43,209 Speaker 1: So there's all different ways in which this DOJ has 54 00:02:43,270 --> 00:02:46,049 Speaker 1: covered for Donald Trump. The most recent of which is 55 00:02:46,130 --> 00:02:52,360 Speaker 1: now they are investigating TV networks for antitrust. after signing 56 00:02:52,639 --> 00:02:57,859 Speaker 1: off on letting on the paramount right where the saudis 57 00:02:58,020 --> 00:03:04,050 Speaker 1: are going to essentially control cnn cbs and various other. 58 00:03:03,650 --> 00:03:07,330 Speaker 2: Networks and outlets and both they're going to control both 59 00:03:07,389 --> 00:03:11,889 Speaker 2: news and entertainment in america because the ellison's even the 60 00:03:12,010 --> 00:03:14,680 Speaker 2: ellison's did not have the cash to pull off this 61 00:03:14,740 --> 00:03:16,880 Speaker 2: deal so they went to the saudis they went to 62 00:03:16,900 --> 00:03:20,269 Speaker 2: the emiratis and they said um hey, listen, we need 63 00:03:20,290 --> 00:03:23,140 Speaker 2: this money to make this happen. Donald will be happy 64 00:03:23,200 --> 00:03:26,320 Speaker 2: if you do this for us and with us. And look, 65 00:03:26,760 --> 00:03:30,579 Speaker 2: the Saudis are not unsophisticated investors. When they want to 66 00:03:30,639 --> 00:03:33,380 Speaker 2: buy something and control it, they go out and spend 67 00:03:33,400 --> 00:03:37,660 Speaker 2: the money. This is a huge, huge national security question 68 00:03:37,800 --> 00:03:41,240 Speaker 2: that none of these people will grapple with, but it is. 69 00:03:41,660 --> 00:03:44,930 Speaker 1: But the real antitrust problem, the real one, the one 70 00:03:44,950 --> 00:03:47,290 Speaker 1: that is- For the ones we made along the way? Right. 71 00:03:47,510 --> 00:03:52,590 Speaker 1: Is the networks not covering Donald Trump, President Xi's arrival, 72 00:03:52,650 --> 00:03:55,130 Speaker 1: where Donald Trump went to pick him up at the airport? 73 00:03:55,610 --> 00:03:56,970 Speaker 1: that's unusual. 74 00:03:57,190 --> 00:04:01,510 Speaker 2: Donald Trump sending the federal government after the networks for 75 00:04:01,550 --> 00:04:05,280 Speaker 2: an antitrust complaint, I think actually is a good thing. 76 00:04:05,460 --> 00:04:08,220 Speaker 2: And I'll tell you why, because it's going to expose 77 00:04:08,280 --> 00:04:11,360 Speaker 2: just how much of a near monopoly now exists in 78 00:04:11,380 --> 00:04:16,039 Speaker 2: the media infrastructure in America with, with the Ellison's controlling 79 00:04:16,380 --> 00:04:20,719 Speaker 2: essentially CBS and CNN with, with the greater and greater 80 00:04:20,779 --> 00:04:24,680 Speaker 2: media consolidation. And while on a First Amendment basis, I 81 00:04:24,700 --> 00:04:29,460 Speaker 2: think it's absurd, I do think it's illustrative. And Donald 82 00:04:29,480 --> 00:04:30,930 Speaker 2: Trump will not be in power forever. 83 00:04:31,120 --> 00:04:34,070 Speaker 1: So we're in a moment here where it looks like 84 00:04:34,150 --> 00:04:36,810 Speaker 1: you think Democrats are going to flip the Senate, which 85 00:04:36,870 --> 00:04:42,690 Speaker 1: would be catastrophic for Republicans because of any number of reasons. 86 00:04:42,750 --> 00:04:43,130 Speaker 1: So go. 87 00:04:43,490 --> 00:04:48,300 Speaker 2: Look, the panic and the copium that normally infests the 88 00:04:48,339 --> 00:04:51,200 Speaker 2: Democrats right around this time of every election season is 89 00:04:51,240 --> 00:04:53,380 Speaker 2: now showing up in the Republicans. There's a clip of 90 00:04:53,460 --> 00:04:57,860 Speaker 2: Bannon going off on this bullshit conspiracy theory, now completely debunked, 91 00:04:58,020 --> 00:05:01,710 Speaker 2: that Tallarico was in rehab or he was dead. 92 00:05:01,750 --> 00:05:03,090 Speaker 1: Mental health facility. 93 00:05:03,130 --> 00:05:06,190 Speaker 2: Mental health facility or he'd been replaced by a clone. Yeah. 94 00:05:06,310 --> 00:05:08,650 Speaker 2: All this insane shit that was coming out of MAGA. 95 00:05:09,080 --> 00:05:09,820 Speaker 2: There's a clip. 96 00:05:09,960 --> 00:05:12,340 Speaker 1: Transgender surgery. Yes, we saw that. 97 00:05:12,400 --> 00:05:15,420 Speaker 2: Yeah. There's a clip of Bannon where he just goes 98 00:05:15,500 --> 00:05:21,140 Speaker 2: off on this like complete wild hair, like 74 way 99 00:05:21,180 --> 00:05:25,160 Speaker 2: bank shot thing. Like Tallarico is going down. He's dead. 100 00:05:25,200 --> 00:05:25,620 Speaker 4: He's out. 101 00:05:25,940 --> 00:05:28,870 Speaker 2: And once he goes, all the Democrats will lose. I'm like, dude, 102 00:05:29,050 --> 00:05:30,110 Speaker 2: get help. Yeah. 103 00:05:30,210 --> 00:05:33,390 Speaker 1: So let's talk about just what that looks like with 104 00:05:33,430 --> 00:05:36,930 Speaker 1: Democrats flipping the House and the Senate. North Carolina is 105 00:05:36,990 --> 00:05:37,930 Speaker 1: definitely going to be a flip. 106 00:05:38,110 --> 00:05:41,430 Speaker 2: Georgia is a plus. Georgia is a keep. 107 00:05:41,770 --> 00:05:44,909 Speaker 1: Michigan is a keep. And then where else do you 108 00:05:44,970 --> 00:05:45,510 Speaker 1: see flips? 109 00:05:45,690 --> 00:05:47,050 Speaker 2: I think Alaska is going our way. 110 00:05:47,350 --> 00:05:50,500 Speaker 1: Right. That every poll has had Mary Patola. 111 00:05:50,700 --> 00:05:53,300 Speaker 2: Everybody. I think Texas is going to go our way. 112 00:05:53,820 --> 00:05:58,100 Speaker 1: If Democrats manage to flip Texas, that will be, it's 113 00:05:58,220 --> 00:06:01,020 Speaker 1: the equivalent of Republicans flipping California. Yes. 114 00:06:01,460 --> 00:06:05,150 Speaker 2: Yes, it is. It will have so much, um, so 115 00:06:05,210 --> 00:06:10,060 Speaker 2: much corrosive impact on the Republicans' self-image. It will have 116 00:06:10,100 --> 00:06:13,040 Speaker 2: so much impact on the Republicans' own idea of what 117 00:06:13,440 --> 00:06:15,659 Speaker 2: their party is and is defined by and what their 118 00:06:15,740 --> 00:06:18,880 Speaker 2: safe spaces are. And I will say this, I'm still 119 00:06:18,920 --> 00:06:22,180 Speaker 2: not there on Gina Hinojosa winning against Abbott, but I'm 120 00:06:22,220 --> 00:06:26,160 Speaker 2: getting a little closer every day because the undertow of 121 00:06:26,240 --> 00:06:30,630 Speaker 2: Trump and Paxton is is pulling every Republican candidate, including 122 00:06:30,670 --> 00:06:36,070 Speaker 2: Greg Abbott, who has run for office statewide, got 17,000 times, 123 00:06:36,430 --> 00:06:38,920 Speaker 2: it is pulling all of them under the water. And 124 00:06:39,380 --> 00:06:42,980 Speaker 2: I'm really feeling that the shape of that is coming 125 00:06:43,040 --> 00:06:43,360 Speaker 2: our way. 126 00:06:43,500 --> 00:06:45,880 Speaker 1: And I want to say one more thing about Abbott, 127 00:06:46,100 --> 00:06:49,820 Speaker 1: because this will be Abbott's third term. And you and 128 00:06:49,880 --> 00:06:54,100 Speaker 1: I both know the third term... is the term where 129 00:06:54,200 --> 00:06:58,040 Speaker 1: you fuck up, right? Like, people don't want you for 130 00:06:58,080 --> 00:07:00,159 Speaker 1: a third term. They just don't. I mean, I'm thinking 131 00:07:00,200 --> 00:07:06,170 Speaker 1: about Bloomberg. Like, you can be popular, but that third term, like. 132 00:07:06,529 --> 00:07:09,650 Speaker 2: It starts to give people a very shitty vibe. 133 00:07:09,810 --> 00:07:10,050 Speaker 3: Yeah. 134 00:07:10,110 --> 00:07:12,660 Speaker 2: And one of my examples is, if you look at... 135 00:07:13,980 --> 00:07:16,320 Speaker 2: or Mario Cuomo in New York, right? Back in the day. 136 00:07:16,480 --> 00:07:20,120 Speaker 2: By the third term, even though people, he was beloved before, 137 00:07:20,140 --> 00:07:22,310 Speaker 2: they're like, okay, come on. 138 00:07:22,460 --> 00:07:26,480 Speaker 1: And I also think there's another thing about Texas that 139 00:07:26,520 --> 00:07:31,520 Speaker 1: will really make Republicans crazy is like Elon Musk. Basically 140 00:07:31,700 --> 00:07:35,780 Speaker 1: every Republican in California moved to Texas so that, because 141 00:07:35,820 --> 00:07:39,000 Speaker 1: the governor was like, I'm your ATM. You want less taxes? 142 00:07:39,040 --> 00:07:40,820 Speaker 2: Yeah, you want tax breaks? Come on down. 143 00:07:41,100 --> 00:07:41,360 Speaker 3: Right. 144 00:07:41,440 --> 00:07:42,600 Speaker 1: You want your own town? 145 00:07:43,310 --> 00:07:44,110 Speaker 2: You don't want zoning? 146 00:07:44,210 --> 00:07:44,470 Speaker 1: Sure. 147 00:07:44,490 --> 00:07:45,910 Speaker 2: Come on. I'll take care of you. 148 00:07:46,070 --> 00:07:50,370 Speaker 1: So if Gina were to win, like there's a lot 149 00:07:50,410 --> 00:07:53,810 Speaker 1: of shit that the governor did that Abbott did that's 150 00:07:53,920 --> 00:08:01,000 Speaker 1: like maybe legal, maybe not legal, certainly reversible by executive 151 00:08:01,120 --> 00:08:05,140 Speaker 1: order because it wasn't passed through the legislature. Like you 152 00:08:05,180 --> 00:08:07,080 Speaker 1: could see a world where Gina gets in there and 153 00:08:07,140 --> 00:08:09,810 Speaker 1: is like, Elon Musk. I don't think you should have 154 00:08:09,910 --> 00:08:12,820 Speaker 1: towns that are your own towns. Oh, I think you 155 00:08:12,840 --> 00:08:13,740 Speaker 1: should pay taxes. 156 00:08:13,780 --> 00:08:15,300 Speaker 2: Texas's governor has some power. 157 00:08:15,780 --> 00:08:17,140 Speaker 1: Right. Tell us about that. 158 00:08:17,180 --> 00:08:18,920 Speaker 2: I will tell you, there's a parallel to that in 159 00:08:18,960 --> 00:08:22,550 Speaker 2: Florida right now. I emailed with a Republican on Friday 160 00:08:22,850 --> 00:08:25,030 Speaker 2: who I've known a long, long time, very much in 161 00:08:25,070 --> 00:08:29,710 Speaker 2: the Republican apparatus of Florida establishment kind of guy. And 162 00:08:29,750 --> 00:08:32,089 Speaker 2: he said, my worry is it's not just going to 163 00:08:32,130 --> 00:08:34,750 Speaker 2: be Hope, Florida. They're going to go into our whole thing. 164 00:08:34,929 --> 00:08:35,770 Speaker 1: What's our whole thing? 165 00:08:35,790 --> 00:08:38,069 Speaker 2: Which is the fact that Florida is a wildly corrupt, 166 00:08:38,190 --> 00:08:41,179 Speaker 2: sacks of cash kind of state. And no one understands it. 167 00:08:41,220 --> 00:08:45,480 Speaker 2: And if the governor starts sending inspector generals out and 168 00:08:45,500 --> 00:08:50,140 Speaker 2: starts pulling lobbyist records and starts going after some of 169 00:08:50,280 --> 00:08:53,599 Speaker 2: the things like Hope, Florida, the overt corruption, then it 170 00:08:53,620 --> 00:08:57,360 Speaker 2: will cause a collapse of of the Republican money machine 171 00:08:57,600 --> 00:08:59,400 Speaker 2: in the state. That's also, I think, on the deck 172 00:08:59,460 --> 00:09:04,680 Speaker 2: in Texas because the Republican money machine there has basically 173 00:09:04,760 --> 00:09:08,950 Speaker 2: been very top-down from the Wilkes' and a few other 174 00:09:09,070 --> 00:09:11,210 Speaker 2: oil and gas guys, all of whom are aging out, 175 00:09:11,230 --> 00:09:16,170 Speaker 2: by the way. But there are areas where suddenly, if 176 00:09:16,230 --> 00:09:20,140 Speaker 2: the railroad commissioner goes Democratic, which is a possibility, And 177 00:09:20,179 --> 00:09:23,180 Speaker 2: the governor goes Democratic, which is a possibility. Even the 178 00:09:23,280 --> 00:09:25,240 Speaker 2: oil and gas guys are going to hedge. They're going 179 00:09:25,420 --> 00:09:28,100 Speaker 2: to go, well, maybe we shouldn't give everything to Ken 180 00:09:28,140 --> 00:09:32,970 Speaker 2: Paxton or Greg Abbott. It also, again, if you get 181 00:09:33,110 --> 00:09:36,369 Speaker 2: governors in particular, that starts to change the complexion of 182 00:09:36,390 --> 00:09:38,450 Speaker 2: how the Democratic primaries are going to run. 183 00:09:38,470 --> 00:09:39,370 Speaker 1: I see more. 184 00:09:39,390 --> 00:09:42,760 Speaker 2: Those states... will allow those candidates to come and raise 185 00:09:42,800 --> 00:09:45,679 Speaker 2: more money, to get more visible more quickly, because you'll 186 00:09:45,700 --> 00:09:48,059 Speaker 2: have the infrastructure of a governor, which always has a 187 00:09:48,480 --> 00:09:53,400 Speaker 2: government infrastructure and a political infrastructure. And so when, let's 188 00:09:53,450 --> 00:09:56,969 Speaker 2: just say it's David Jolly and Andy Beshear wants to 189 00:09:57,010 --> 00:09:59,890 Speaker 2: come to Florida and get a lot of media and press, 190 00:09:59,980 --> 00:10:04,099 Speaker 2: he does something with the governor. Or if it's Pritzker 191 00:10:04,559 --> 00:10:07,340 Speaker 2: or if it's Newsom or whomever, anybody can come down 192 00:10:07,440 --> 00:10:12,199 Speaker 2: at that point. Or in Texas. If it's Governor Gina Hinojosa, 193 00:10:12,440 --> 00:10:14,340 Speaker 2: they can go and do something that's going to automatically 194 00:10:14,380 --> 00:10:18,460 Speaker 2: draw press and eyeballs and coverage rather than showing up 195 00:10:18,520 --> 00:10:19,800 Speaker 2: on your own with a county commissioner. 196 00:10:19,940 --> 00:10:20,180 Speaker 3: Yeah. 197 00:10:20,620 --> 00:10:24,489 Speaker 1: I also think the Texas Railroad Commissioner, the guy who's 198 00:10:24,530 --> 00:10:27,210 Speaker 1: running for that, is highly batshit. 199 00:10:27,490 --> 00:10:27,830 Speaker 3: Whoa. 200 00:10:29,040 --> 00:10:32,660 Speaker 2: He's second only to the Republican running for governor of Colorado. 201 00:10:32,900 --> 00:10:34,850 Speaker 1: Yes, that guy's nuts too. 202 00:10:35,500 --> 00:10:37,750 Speaker 2: That guy is truly fucking bonkers. 203 00:10:37,950 --> 00:10:42,710 Speaker 1: But Bayless something, right, is in Texas. And he's like 204 00:10:43,250 --> 00:10:47,189 Speaker 1: deeply racist in a way that is pretty amazing even 205 00:10:47,250 --> 00:10:47,750 Speaker 1: for Texas. 206 00:10:47,790 --> 00:10:50,470 Speaker 2: He's deeply racist in a way that racists go, hey bro, 207 00:10:50,510 --> 00:10:50,870 Speaker 2: too much. 208 00:10:52,730 --> 00:10:56,989 Speaker 1: Beau French is running for Texas Railroad Commissioner. He is 209 00:10:57,230 --> 00:11:01,980 Speaker 1: a I mean, if Democrats were smart, we would have, 210 00:11:02,460 --> 00:11:07,140 Speaker 1: you know, hey, answer for Beau French. Like, why can't 211 00:11:07,220 --> 00:11:09,300 Speaker 1: Ken Paxton answer for Beau French? 212 00:11:09,600 --> 00:11:12,040 Speaker 2: An old mentor of mine in politics called it shifting 213 00:11:12,100 --> 00:11:12,570 Speaker 2: the stink. 214 00:11:12,900 --> 00:11:13,160 Speaker 1: Right. 215 00:11:13,490 --> 00:11:15,370 Speaker 2: You want to move the stink that's on Beau French 216 00:11:15,550 --> 00:11:16,410 Speaker 2: over to Greg Abbott. 217 00:11:16,610 --> 00:11:22,530 Speaker 1: Ken Paxton has his own stench. Ken Paxton is such 218 00:11:22,590 --> 00:11:26,320 Speaker 1: an amazing candidate. I mean, if you're Democrats, like, That 219 00:11:26,380 --> 00:11:28,760 Speaker 1: is a once in a lifetime Senate candidate for us. 220 00:11:28,760 --> 00:11:29,420 Speaker 2: That is correct. 221 00:11:30,100 --> 00:11:30,280 Speaker 5: Right? 222 00:11:30,320 --> 00:11:32,920 Speaker 2: Look, I will say this. I believe James Tallarico is 223 00:11:32,970 --> 00:11:34,750 Speaker 2: a singularly talented candidate. 224 00:11:34,790 --> 00:11:34,890 Speaker 1: Yes. 225 00:11:34,929 --> 00:11:35,850 Speaker 2: He's exceptional. 226 00:11:35,890 --> 00:11:36,370 Speaker 1: Yes, correct. 227 00:11:36,470 --> 00:11:39,010 Speaker 2: But he's also been given an exceptional gift in the. 228 00:11:38,990 --> 00:11:39,990 Speaker 1: Form of- From God. 229 00:11:40,010 --> 00:11:40,910 Speaker 5: Yeah. 230 00:11:41,090 --> 00:11:45,660 Speaker 2: My Lord, what a complete train wreck candidate. shit show 231 00:11:45,740 --> 00:11:47,760 Speaker 2: Ken Paxton is. 232 00:11:48,320 --> 00:11:55,870 Speaker 1: Because he's not charismatic. He's not attractive. He has 17 houses. 233 00:11:56,179 --> 00:11:59,250 Speaker 1: He's made millions of dollars since he's been in office. 234 00:11:59,640 --> 00:12:01,469 Speaker 1: And when you get him in a debate, he's like, 235 00:12:01,490 --> 00:12:03,750 Speaker 1: I'm going to, I'm going to. 236 00:12:04,130 --> 00:12:06,089 Speaker 2: I just make money. I'm just a good old boy 237 00:12:06,130 --> 00:12:06,689 Speaker 2: making money. 238 00:12:06,950 --> 00:12:10,660 Speaker 1: But what is interesting to me about Ken Paxton, Is 239 00:12:10,710 --> 00:12:13,310 Speaker 1: there are, and I'm going to say this now and 240 00:12:13,350 --> 00:12:15,390 Speaker 1: you may think I'm wrong, but like there are a 241 00:12:15,510 --> 00:12:18,610 Speaker 1: bunch of states where the similar dynamic is playing out. 242 00:12:19,350 --> 00:12:22,490 Speaker 1: I mean, a great example is in Kansas. 243 00:12:22,750 --> 00:12:27,010 Speaker 2: Roger Marshall was on nobody's radar screen earlier this year. Right. 244 00:12:27,309 --> 00:12:29,770 Speaker 2: I think we had a conversation about him, I don't know, 245 00:12:30,120 --> 00:12:31,780 Speaker 2: a couple months ago and we were both like, eh. 246 00:12:32,280 --> 00:12:33,180 Speaker 5: Kansas, maybe. 247 00:12:33,240 --> 00:12:33,600 Speaker 1: Probably not. 248 00:12:33,620 --> 00:12:40,010 Speaker 2: It's Kansas. It's a Trump 27,000% state. Right. But Roger 249 00:12:40,050 --> 00:12:42,949 Speaker 2: Marshall is now in what I like, that death of 250 00:12:42,990 --> 00:12:45,670 Speaker 2: a thousand cuts thing in the campaign. He has now 251 00:12:45,730 --> 00:12:48,650 Speaker 2: spent two solid days over the fact that he didn't 252 00:12:48,700 --> 00:12:50,660 Speaker 2: pay a $ 675 bill for cookies. And people are like, well, 253 00:12:50,679 --> 00:12:50,860 Speaker 2: who cares? 254 00:12:54,880 --> 00:12:58,120 Speaker 1: This is the man who put people in jail. 255 00:12:58,140 --> 00:13:02,700 Speaker 2: Who had people arrested for not paying a $ 50 medical bill. 256 00:13:03,080 --> 00:13:07,439 Speaker 2: And when he was asked to defend that decision, his 257 00:13:07,600 --> 00:13:10,600 Speaker 2: answer was one for the ages. Well, my lawyers told 258 00:13:10,640 --> 00:13:10,920 Speaker 2: me to. 259 00:13:11,100 --> 00:13:14,830 Speaker 1: Right. Well, the bakery's lawyers told him to pay his 260 00:13:15,070 --> 00:13:17,069 Speaker 1: fucking bill for the goddamn cookie. 261 00:13:17,250 --> 00:13:20,280 Speaker 2: Right. Yeah. And so he is in... He is in 262 00:13:20,300 --> 00:13:23,010 Speaker 2: a little bit of that spiral right now. And I 263 00:13:23,050 --> 00:13:25,170 Speaker 2: mean this about all the candidates. I said this on Friday. 264 00:13:25,190 --> 00:13:26,870 Speaker 2: I wrote a piece called Run Through the Tape. You've 265 00:13:26,929 --> 00:13:29,010 Speaker 2: got to run through the tape. Keep doing what you're 266 00:13:29,030 --> 00:13:33,010 Speaker 2: doing everywhere, folks. It's working. Now, in some places, you 267 00:13:33,050 --> 00:13:34,410 Speaker 2: are going to get tempted. You're going to say, oh, 268 00:13:34,410 --> 00:13:36,540 Speaker 2: I'm seven points up. I'm nine points up. I'm going 269 00:13:36,559 --> 00:13:38,740 Speaker 2: to start talking about my vision for the future. 270 00:13:39,020 --> 00:13:43,040 Speaker 1: I'm going to start doing the Bill Clinton impression. Oh, no, no. 271 00:13:43,220 --> 00:13:44,620 Speaker 2: You got to hit these guys in the face with 272 00:13:44,660 --> 00:13:46,819 Speaker 2: a stick until the last possible minute. I mean, hell, 273 00:13:46,860 --> 00:13:50,339 Speaker 2: we're even seeing Dan Osborne now showing numbers against Pete 274 00:13:50,400 --> 00:13:57,069 Speaker 2: Ricketts that the National Democratic Party, it's an inexpensive state. 275 00:13:57,330 --> 00:13:59,550 Speaker 2: I know you don't like him because he's independent, but 276 00:13:59,910 --> 00:14:03,250 Speaker 2: for God's sake, run negatives against Pete Ricketts. He looks 277 00:14:03,270 --> 00:14:05,689 Speaker 2: like the human worm hybrid. Come on. Yeah. 278 00:14:05,970 --> 00:14:09,220 Speaker 1: Well, and also Pete Ricketts is a billionaire trying to 279 00:14:09,280 --> 00:14:13,939 Speaker 1: buy a seed from And that's very unpopular. But also, 280 00:14:14,100 --> 00:14:15,800 Speaker 1: I just want to get back to Kansas for a second. 281 00:14:16,420 --> 00:14:19,760 Speaker 1: Adam Hamilton is also a once-in-a-lifetime candidate. 282 00:14:19,920 --> 00:14:23,270 Speaker 2: Yes. Something in the Midwest and the West this year 283 00:14:24,130 --> 00:14:28,650 Speaker 2: has given us Rob Sand and Adam Hamilton and James Tallarico. 284 00:14:28,610 --> 00:14:31,370 Speaker 1: And- And Turek, Josh Turek. 285 00:14:31,530 --> 00:14:34,510 Speaker 2: Josh Turek. And if you go to the upper Midwest- 286 00:14:36,380 --> 00:14:39,060 Speaker 2: The guy who Trump calls Mohammed Al-Sayed, that's not racist 287 00:14:39,080 --> 00:14:42,500 Speaker 2: at all. Right. Al-Sayed has also proven to be a 288 00:14:42,680 --> 00:14:43,960 Speaker 2: very good candidate. 289 00:14:44,260 --> 00:14:45,280 Speaker 1: Very good candidate. 290 00:14:45,300 --> 00:14:49,450 Speaker 2: He's fast on his feet. He's social forward. And it's 291 00:14:49,550 --> 00:14:53,850 Speaker 2: getting harder for these guys. Again, watch the copium coming 292 00:14:54,070 --> 00:14:55,230 Speaker 2: on the right right now. 293 00:14:55,250 --> 00:14:55,670 Speaker 3: Yeah. 294 00:14:55,770 --> 00:14:59,030 Speaker 2: Because it is now requiring a lot of bank shots, 295 00:14:59,430 --> 00:15:04,270 Speaker 2: like banners. Well, if Talladega goes down, then so... No, dude. 296 00:15:04,470 --> 00:15:06,540 Speaker 2: This is not about... A lot of this, Molly, is 297 00:15:06,600 --> 00:15:09,920 Speaker 2: about the fact that everybody's being lifted on a tide. 298 00:15:10,400 --> 00:15:12,620 Speaker 2: The Republicans are being dragged down by what Charlie Cook 299 00:15:12,640 --> 00:15:15,280 Speaker 2: calls the red undertow. And the blue wave is following. 300 00:15:15,480 --> 00:15:16,060 Speaker 3: Yeah. 301 00:15:16,240 --> 00:15:19,910 Speaker 1: And I also think, like, the blue... We have red undertow. 302 00:15:19,930 --> 00:15:22,390 Speaker 1: We have really good candidates. We have Republican candidates who 303 00:15:22,410 --> 00:15:24,690 Speaker 1: have never had to defend their seats, like Roger Marshall. 304 00:15:24,710 --> 00:15:24,930 Speaker 2: Correct. 305 00:15:25,970 --> 00:15:29,020 Speaker 1: So it just ends up being a perfect storm. Now, 306 00:15:29,700 --> 00:15:32,869 Speaker 1: I still think there's a world where Susan Collins survived. 307 00:15:33,050 --> 00:15:37,140 Speaker 1: I don't like it, but I think it's very possible. 308 00:15:37,420 --> 00:15:38,060 Speaker 2: I don't love it. 309 00:15:38,300 --> 00:15:41,440 Speaker 1: But Bernie Sanders will have done everything he could because 310 00:15:41,500 --> 00:15:46,760 Speaker 1: he did show up and campaign with Troy Jackson, which, again, 311 00:15:46,840 --> 00:15:50,760 Speaker 1: he's a Vermont senator, very popular. He's from that area. 312 00:15:51,070 --> 00:15:54,910 Speaker 2: Well, Bernie's coming to Florida for four cities, apparently. 313 00:15:55,090 --> 00:15:55,410 Speaker 3: Really? 314 00:15:55,490 --> 00:15:56,290 Speaker 2: For Angie Nixon. 315 00:15:56,410 --> 00:16:00,090 Speaker 1: Will you just talk about Angie Nixon for two seconds 316 00:16:00,130 --> 00:16:00,470 Speaker 1: for me? 317 00:16:00,670 --> 00:16:03,170 Speaker 2: Listen, most of the polling has her seven to nine 318 00:16:03,210 --> 00:16:06,160 Speaker 2: points back. That's an honest answer. A couple of polls 319 00:16:06,200 --> 00:16:08,920 Speaker 2: have her very close, but something's going on at the 320 00:16:08,960 --> 00:16:12,360 Speaker 2: grassroots level that she's working that isn't about the money. 321 00:16:12,660 --> 00:16:16,580 Speaker 2: And I really believe Angie Nixon has... We've never seen 322 00:16:16,680 --> 00:16:21,020 Speaker 2: since 2008, when Barack Obama was on the ballot, an 323 00:16:21,200 --> 00:16:27,720 Speaker 2: impact like she's having on African-American voter enthusiasm in Florida. 324 00:16:27,940 --> 00:16:32,060 Speaker 2: And there's a weird world... where Angie Nixon doesn't make it, 325 00:16:32,270 --> 00:16:35,520 Speaker 2: but she pulls across, because of that voter turnout, a 326 00:16:35,740 --> 00:16:40,370 Speaker 2: couple of congressional races. And maybe David Jolly... and maybe 327 00:16:40,450 --> 00:16:43,430 Speaker 2: Jose Rodriguez, and maybe Annette Taddeo in the statewides. And 328 00:16:43,470 --> 00:16:46,630 Speaker 2: that would be a massive game changer. 329 00:16:46,650 --> 00:16:50,070 Speaker 1: And again, we don't want to get high on our 330 00:16:50,130 --> 00:16:53,670 Speaker 1: own supply here, but there are a bunch of candidates 331 00:16:53,910 --> 00:16:58,500 Speaker 1: in the South who are overperforming. And we're seeing this. 332 00:16:58,620 --> 00:17:01,180 Speaker 1: And again, the early voting is showing this. We don't 333 00:17:01,200 --> 00:17:02,800 Speaker 1: know if it's real. We don't know what the fuck 334 00:17:02,840 --> 00:17:06,919 Speaker 1: it is. But we're seeing huge numbers. of Latino and 335 00:17:06,960 --> 00:17:08,780 Speaker 1: Black voters coming out early. 336 00:17:09,560 --> 00:17:12,159 Speaker 2: The numbers we have now in Virginia and Pennsylvania in 337 00:17:12,200 --> 00:17:16,570 Speaker 2: particular of Hispanic voters voting early, they're through the roof. 338 00:17:16,590 --> 00:17:19,490 Speaker 2: They're like five times what they were in 24. And 339 00:17:19,530 --> 00:17:22,090 Speaker 2: in 24, they were going for Donald Trump, or a 340 00:17:22,130 --> 00:17:26,450 Speaker 2: meaningful fraction of them were. That is, as our friend 341 00:17:26,470 --> 00:17:30,580 Speaker 2: Mike Madrid says, that is a de-alignment of Hispanics towards 342 00:17:30,600 --> 00:17:35,000 Speaker 2: the Republicans, toward the Democrats. And And if that trend 343 00:17:35,060 --> 00:17:37,260 Speaker 2: holds up in Florida, Cubans are different. I know Florida 344 00:17:37,280 --> 00:17:39,220 Speaker 2: Cubans are different. This is my world. 345 00:17:39,240 --> 00:17:43,109 Speaker 1: Though Representative Salazar, I still believe she would not have 346 00:17:43,150 --> 00:17:44,150 Speaker 1: done that ad. 347 00:17:44,430 --> 00:17:45,730 Speaker 2: Oh, no, she's scared shitless. 348 00:17:45,890 --> 00:17:47,730 Speaker 1: She knows something's going on here. 349 00:17:48,070 --> 00:17:50,310 Speaker 2: She lives in a state of endless panic. 350 00:17:50,590 --> 00:17:51,409 Speaker 1: Rick Wilson. 351 00:17:51,830 --> 00:17:58,340 Speaker 2: Molly John fast. I sure will. Molly. 352 00:17:59,109 --> 00:18:02,650 Speaker 4: Time to go over the headlines for today. So this 353 00:18:02,730 --> 00:18:06,830 Speaker 4: is pretty funny. A House Republican who's invoking Ronald Reagan, 354 00:18:06,930 --> 00:18:11,300 Speaker 4: the great, the great, my favorite president, obviously. to block 355 00:18:11,320 --> 00:18:12,740 Speaker 4: Trump's Russia oil deal. 356 00:18:12,920 --> 00:18:20,550 Speaker 1: Brian Fitzpatrick, poor Brian Fitzpatrick, the last slightly swingy Republican. 357 00:18:20,710 --> 00:18:23,770 Speaker 1: He wants to force a House vote to block Russian 358 00:18:23,950 --> 00:18:27,070 Speaker 1: oil purchases. So what happened over this weekend is that 359 00:18:27,109 --> 00:18:31,630 Speaker 1: Donald Trump decided to buy diesel from Vladimir Putin, thus 360 00:18:32,070 --> 00:18:36,740 Speaker 1: basically reversing everything that everyone has ever done. Buying fuel 361 00:18:36,940 --> 00:18:42,300 Speaker 1: from Vladimir Putin, like an insane... If Lindsey Graham were alive, 362 00:18:42,520 --> 00:18:45,500 Speaker 1: he would have a complete meltdown. He would go to 363 00:18:45,540 --> 00:18:51,080 Speaker 1: Mar-a-Lago crying. This is so insane that Donald Trump wants 364 00:18:51,119 --> 00:18:54,900 Speaker 1: to buy diesel from Vladimir Putin. And a few things here. One, 365 00:18:55,460 --> 00:18:57,859 Speaker 1: this is because Donald Trump is worried about the midterms 366 00:18:57,960 --> 00:19:00,000 Speaker 1: and because he's worried about the price of diesel. And 367 00:19:00,040 --> 00:19:04,919 Speaker 1: the price of diesel is broadening the map for Democrats. 368 00:19:04,960 --> 00:19:09,619 Speaker 1: The reason... We're talking about Kansas Senate. And the reason 369 00:19:09,640 --> 00:19:12,810 Speaker 1: we're talking about Iowa and the reason we're talking about 370 00:19:13,220 --> 00:19:17,129 Speaker 1: all of these states in the Corn Belt is because 371 00:19:17,230 --> 00:19:20,790 Speaker 1: and the reason that Dan Osborne is doing better in 372 00:19:20,830 --> 00:19:24,450 Speaker 1: Nebraska is because of the price. So Donald Trump, Mr. 373 00:19:24,490 --> 00:19:29,580 Speaker 1: Quick Fix, is hoping that buying diesel from Vladimir Putin will, A, 374 00:19:29,750 --> 00:19:33,000 Speaker 1: mean that Vladimir Putin will love him. Why Donald Trump 375 00:19:33,020 --> 00:19:36,550 Speaker 1: wants Vladimir Putin to love him is an interesting open question. 376 00:19:36,619 --> 00:19:39,750 Speaker 1: We don't know the answer to. But the other reason 377 00:19:39,869 --> 00:19:42,310 Speaker 1: why Donald Trump is doing this is because he's hoping 378 00:19:42,369 --> 00:19:45,910 Speaker 1: it'll bring down diesel prices. The evidence, just like remember 379 00:19:45,950 --> 00:19:48,590 Speaker 1: when he brought in the foreign meat, there is evidence 380 00:19:48,630 --> 00:19:51,260 Speaker 1: to support the idea that it actually won't, that it'll 381 00:19:51,280 --> 00:19:55,520 Speaker 1: be temporary and it won't do much. But this is 382 00:19:55,900 --> 00:19:59,240 Speaker 1: a discharge petition that Fitzpatrick is trying to do. It 383 00:19:59,280 --> 00:20:02,590 Speaker 1: will require 218 signatures, which shouldn't be a problem because 384 00:20:02,609 --> 00:20:07,510 Speaker 1: this idea is insane. But we'll see. Mike Johnson actually 385 00:20:07,609 --> 00:20:11,930 Speaker 1: sent everyone home, you'll remember. because they wanted to impeach 386 00:20:12,010 --> 00:20:19,449 Speaker 1: Secretary of War Pete Hegsath, Mr. Pete Hormones Hegsath, or 387 00:20:19,510 --> 00:20:21,770 Speaker 1: as we call him on this podcast, Whiskey Pete. 388 00:20:22,950 --> 00:20:24,850 Speaker 4: You know, I want to do an amendment. Did you 389 00:20:24,869 --> 00:20:26,910 Speaker 4: watch Saturday Night Live last night? They had this great 390 00:20:26,950 --> 00:20:30,510 Speaker 4: segment where he had an ammunition belt across his chest 391 00:20:30,570 --> 00:20:34,080 Speaker 4: of Fireball whiskey. And so I think Fireball Pete is 392 00:20:34,119 --> 00:20:36,929 Speaker 4: a little bit more accurate for how cheap disgusting and 393 00:20:37,050 --> 00:20:37,710 Speaker 4: awful he is. 394 00:20:37,869 --> 00:20:39,969 Speaker 1: Yeah, I'm going to stick with whiskey, Pete, but I 395 00:20:40,010 --> 00:20:43,750 Speaker 1: still like it. I still like it. I appreciate the discourse. 396 00:20:43,810 --> 00:20:46,070 Speaker 4: I can't say I love Syria a lot these days, 397 00:20:46,109 --> 00:20:47,910 Speaker 4: but that was a shining moment. 398 00:20:48,070 --> 00:20:53,149 Speaker 1: So the point here is that Trump is just desperately 399 00:20:53,190 --> 00:20:56,550 Speaker 1: trying to throw things against the wall in the hopes of, 400 00:20:56,830 --> 00:20:59,550 Speaker 1: you know, he is as unpopular as he's ever been, 401 00:20:59,690 --> 00:21:03,650 Speaker 1: and he just is in a continual free fall. And 402 00:21:04,330 --> 00:21:08,189 Speaker 1: so he's doing anything he can. To try and stay 403 00:21:08,210 --> 00:21:09,240 Speaker 1: in power. 404 00:21:09,380 --> 00:21:10,720 Speaker 2: We shall see. Yeah. 405 00:21:10,859 --> 00:21:13,340 Speaker 4: And after we saw reports this week out of the 406 00:21:13,359 --> 00:21:17,030 Speaker 4: New York Fed that inflation was pretty much solely caused 407 00:21:17,109 --> 00:21:20,970 Speaker 4: by his tariffs. And the other big factor is, of course, 408 00:21:21,109 --> 00:21:24,170 Speaker 4: these diesel prices, because it affects the trucks driving across 409 00:21:24,190 --> 00:21:25,440 Speaker 4: the country to do our supply chain. 410 00:21:25,710 --> 00:21:29,330 Speaker 1: Yeah, no, I mean, look, there are two reasons for inflation, 411 00:21:29,670 --> 00:21:33,750 Speaker 1: Trump's war and Trump's terror. Like even, you know, you 412 00:21:33,830 --> 00:21:38,550 Speaker 1: don't need to have like brilliant local reporting to understand 413 00:21:38,590 --> 00:21:41,820 Speaker 1: that Donald Trump went to war in Iran and gas 414 00:21:41,859 --> 00:21:45,260 Speaker 1: got more expensive and that and Donald Trump went on 415 00:21:45,300 --> 00:21:48,360 Speaker 1: a trade war and everything got more expensive. So like 416 00:21:48,780 --> 00:21:50,719 Speaker 1: this is all I mean, it's funny because it's like 417 00:21:50,740 --> 00:21:53,000 Speaker 1: we talk a lot about people are like, well, how 418 00:21:53,040 --> 00:21:55,810 Speaker 1: will Democrats fix this? It's like Get rid of the 419 00:21:55,850 --> 00:21:58,530 Speaker 1: tariffs and end the war and things will get cheaper. 420 00:21:58,609 --> 00:22:00,710 Speaker 1: It may take a little while, but like this is 421 00:22:00,760 --> 00:22:03,980 Speaker 1: not like this didn't happen by itself. This is not 422 00:22:04,000 --> 00:22:08,140 Speaker 1: like COVID where the inflation came from supply chain problems. 423 00:22:08,160 --> 00:22:11,760 Speaker 1: This is like Donald Trump did stupid crap and the 424 00:22:11,800 --> 00:22:13,179 Speaker 1: rest of us have to pay for it. 425 00:22:13,260 --> 00:22:15,460 Speaker 5: I mean, this is really clear. 426 00:22:15,760 --> 00:22:19,120 Speaker 1: And and I don't understand why this is, you know, 427 00:22:19,670 --> 00:22:22,270 Speaker 1: this happens to be a time when Democrats can actually 428 00:22:22,350 --> 00:22:23,230 Speaker 1: solve the problem. 429 00:22:23,230 --> 00:22:27,180 Speaker 4: 100 percent. Um, so, uh, we have many patterns that 430 00:22:27,220 --> 00:22:29,990 Speaker 4: Trump follows all the time. Um, and one of them is, 431 00:22:30,190 --> 00:22:33,330 Speaker 4: completely bullshitting about things that don't happen. And here we have, uh, 432 00:22:33,990 --> 00:22:36,449 Speaker 4: Trump is claiming that Russia and Ukraine have agreed to 433 00:22:36,470 --> 00:22:39,990 Speaker 4: an energy ceasefire. But Zelensky is saying news for me, chief. 434 00:22:40,210 --> 00:22:43,879 Speaker 1: Well, Donald Trump also said this week and that Ukraine 435 00:22:43,900 --> 00:22:47,340 Speaker 1: needs a new president, which is totally not appropriate. 436 00:22:47,400 --> 00:22:47,680 Speaker 3: Right. 437 00:22:47,720 --> 00:22:52,450 Speaker 1: Like, imagine if I mean, that's like, you know, Donald 438 00:22:52,470 --> 00:22:55,850 Speaker 1: Trump every day breaks norms. But like, this is just 439 00:22:55,930 --> 00:23:01,170 Speaker 1: an insane one, especially considering Trump. If you're Ukrainian, Zelensky 440 00:23:01,260 --> 00:23:04,800 Speaker 1: has done a pretty good job in this war. Everyone 441 00:23:04,820 --> 00:23:07,359 Speaker 1: thought they would just lose, and it's been going and 442 00:23:07,400 --> 00:23:11,310 Speaker 1: going and going. So the point here is that Donald 443 00:23:11,330 --> 00:23:14,090 Speaker 1: Trump clearly has his finger on the scale, and it's 444 00:23:14,130 --> 00:23:17,669 Speaker 1: not for the good guys. There's a larger question as 445 00:23:17,750 --> 00:23:20,530 Speaker 1: to why Donald Trump has his finger on the scale 446 00:23:20,630 --> 00:23:23,130 Speaker 1: and what Donald Trump has his finger on the scale. 447 00:23:23,170 --> 00:23:25,689 Speaker 1: Like why? What is causing him to do this is 448 00:23:25,770 --> 00:23:26,510 Speaker 1: a real question. 449 00:23:26,690 --> 00:23:30,090 Speaker 4: The Ukraine war is a losing war for both sides 450 00:23:30,170 --> 00:23:33,470 Speaker 4: in ways that like, you know, one, Ukraine doesn't enjoy 451 00:23:33,530 --> 00:23:36,970 Speaker 4: having its entire infrastructure destroyed. And one of the better 452 00:23:36,990 --> 00:23:39,850 Speaker 4: things I heard recently was the idea that we all 453 00:23:40,380 --> 00:23:42,940 Speaker 4: looked at war recently as if it was this endless 454 00:23:42,980 --> 00:23:45,399 Speaker 4: resource because we pay so much to fund it uh 455 00:23:45,500 --> 00:23:48,000 Speaker 4: in this country but what we're seeing is our munitions 456 00:23:48,080 --> 00:23:51,580 Speaker 4: go low very very fast and it's because the last 457 00:23:51,619 --> 00:23:53,859 Speaker 4: time we learned this lesson was 80 years ago and 458 00:23:53,900 --> 00:23:56,679 Speaker 4: much of the population isn't alive right now yeah we 459 00:23:56,700 --> 00:23:58,899 Speaker 4: had to do an enormous lift to do. 460 00:23:58,820 --> 00:24:02,220 Speaker 1: World war ii yeah that's right so. 461 00:24:02,160 --> 00:24:05,270 Speaker 4: Molly um we know that Trump, one of his many 462 00:24:05,310 --> 00:24:09,470 Speaker 4: obsessions is vanity prizes like the Nobel Prize. And right 463 00:24:09,490 --> 00:24:12,770 Speaker 4: after he lost the Nobel Prize, he sanctioned the ICC, 464 00:24:12,869 --> 00:24:14,840 Speaker 4: which truly disgusting. 465 00:24:15,100 --> 00:24:18,300 Speaker 1: I want to point out, there's a word that you're 466 00:24:18,340 --> 00:24:20,680 Speaker 1: missing when we talk about the Nobel. It's the Nobel 467 00:24:20,740 --> 00:24:21,520 Speaker 1: Peace Prize. 468 00:24:21,600 --> 00:24:21,950 Speaker 2: Yes, yes. 469 00:24:21,960 --> 00:24:25,760 Speaker 1: And Donald Trump, Mr. Peace, is always like, I ended 470 00:24:25,800 --> 00:24:28,700 Speaker 1: all these wars. I ended 57 wars. I ended this war. 471 00:24:28,720 --> 00:24:29,300 Speaker 1: I ended that war. 472 00:24:29,680 --> 00:24:30,440 Speaker 2: It's the brand. 473 00:24:30,900 --> 00:24:35,080 Speaker 1: Yeah, we're into real Orwell territory. We have the president 474 00:24:35,600 --> 00:24:41,110 Speaker 1: of Venezuela in a jail with his wife in New York. Like, 475 00:24:41,369 --> 00:24:46,770 Speaker 1: this guy has done so much international fuckery. From Venezuela 476 00:24:47,310 --> 00:24:51,770 Speaker 1: to Iran to, you know, he wants to take Cuba now. 477 00:24:51,950 --> 00:24:55,340 Speaker 1: He's to his fights with Canada. Like, this is not 478 00:24:55,380 --> 00:24:57,739 Speaker 1: a person who should get any Peace Prize except the 479 00:24:57,880 --> 00:25:00,439 Speaker 1: FIFA Peace Prize, which he already has. But like the 480 00:25:00,500 --> 00:25:03,820 Speaker 1: point that he's like so obsessed with it. Nobel Peace Prize. 481 00:25:03,900 --> 00:25:08,580 Speaker 1: And he's like, I am going to sanction the ICC 482 00:25:08,760 --> 00:25:11,720 Speaker 1: because I didn't get this prize when like there is 483 00:25:11,890 --> 00:25:14,390 Speaker 1: no one is ever giving you that prize. Like you 484 00:25:14,450 --> 00:25:17,490 Speaker 1: have to make peace to get the prize. It is 485 00:25:17,590 --> 00:25:21,290 Speaker 1: just so I mean, it's very stupid because like if 486 00:25:21,330 --> 00:25:23,689 Speaker 1: you wanted to win a peace prize, you should be 487 00:25:23,730 --> 00:25:27,220 Speaker 1: focused on peace. And the idea that Donald Trump focused 488 00:25:27,300 --> 00:25:31,800 Speaker 1: on war with the department of war, uh, wants his 489 00:25:31,840 --> 00:25:34,149 Speaker 1: peace prize and is mad at other people get it. 490 00:25:34,220 --> 00:25:36,600 Speaker 1: It's just like, it's, it gives me a headache because 491 00:25:36,660 --> 00:25:36,940 Speaker 1: it's so. 492 00:25:37,060 --> 00:25:40,400 Speaker 4: Well, my, I have really bad news for you then 493 00:25:40,440 --> 00:25:43,200 Speaker 4: for this next deadline, because, um, so we're in about 494 00:25:43,220 --> 00:25:46,780 Speaker 4: to enter. We're just, we're about 30 days from entering 495 00:25:47,100 --> 00:25:50,740 Speaker 4: in the new season of the Trump administration being the 496 00:25:50,900 --> 00:25:56,310 Speaker 4: general election season of, uh, 2028. And with that, you know, 497 00:25:56,330 --> 00:25:59,750 Speaker 4: we always get new characters. And yes, we've early had 498 00:25:59,810 --> 00:26:02,740 Speaker 4: a onset walk from one of our newest, stupidest characters, 499 00:26:02,900 --> 00:26:06,260 Speaker 4: Katie Zachariah, the new press secretary to replace Carolyn Leavitt, 500 00:26:06,440 --> 00:26:10,000 Speaker 4: who says that the abortion pill came from Nazi Germany 501 00:26:10,080 --> 00:26:13,139 Speaker 4: because she's about what you'd expect for this job. 502 00:26:13,160 --> 00:26:13,330 Speaker 5: Yeah. 503 00:26:13,910 --> 00:26:17,490 Speaker 1: My favorite thing about her, she comes she's a former 504 00:26:17,730 --> 00:26:21,639 Speaker 1: employee of Fix California, a nonprofit group founded by By 505 00:26:21,680 --> 00:26:25,610 Speaker 1: the way, that should not be a nonprofit, whatever. That 506 00:26:25,690 --> 00:26:31,129 Speaker 1: is something our 2028 candidates need to really get in there. Right. 507 00:26:32,250 --> 00:26:36,540 Speaker 1: A former employee of Fix California, she worked for Rick Grinnell, 508 00:26:36,980 --> 00:26:37,980 Speaker 1: known genius. 509 00:26:38,300 --> 00:26:38,720 Speaker 5: Oh, yeah, yeah. 510 00:26:39,160 --> 00:26:41,620 Speaker 1: My favorite thing about her is that she looks just 511 00:26:41,660 --> 00:26:45,439 Speaker 1: like all the other press secretaries. Like, if you're Scott 512 00:26:45,480 --> 00:26:47,879 Speaker 1: Jennings and you really thought you were going to be 513 00:26:47,920 --> 00:26:51,420 Speaker 1: press secretary, like, are you dyeing your hair blonde right now? 514 00:26:52,060 --> 00:26:53,820 Speaker 1: Are you getting a peel? 515 00:26:53,980 --> 00:26:56,980 Speaker 4: Did you see Mallory McMorrow's tweet? It was 10 out 516 00:26:57,020 --> 00:26:57,619 Speaker 4: of 10. 517 00:26:57,619 --> 00:26:58,460 Speaker 1: No, what did it say? 518 00:26:58,480 --> 00:27:01,780 Speaker 4: It was basically like, I, too, was trying to get 519 00:27:01,800 --> 00:27:03,270 Speaker 4: a job and it didn't work out. 520 00:27:03,310 --> 00:27:05,629 Speaker 2: Sorry, buddy. I mean... Yeah. 521 00:27:05,710 --> 00:27:08,149 Speaker 1: I mean, it's just like I mean, I'm happy to 522 00:27:08,210 --> 00:27:10,890 Speaker 1: see anything that makes Scott Jennings sad is good. But 523 00:27:11,290 --> 00:27:15,050 Speaker 1: like it is incredible that she like he did not 524 00:27:15,090 --> 00:27:17,970 Speaker 1: have a chance. Like you have to be blonde and 525 00:27:18,010 --> 00:27:20,560 Speaker 1: you have to look a certain way. But the point 526 00:27:20,600 --> 00:27:23,540 Speaker 1: here is like we're going to lying about the abortion 527 00:27:23,580 --> 00:27:27,540 Speaker 1: pill is one of Republicans favorite hobbies. It has been 528 00:27:27,560 --> 00:27:29,540 Speaker 1: a real problem for them because they were trying to 529 00:27:29,700 --> 00:27:33,240 Speaker 1: end choice. I still think you're going to see more. 530 00:27:33,830 --> 00:27:37,790 Speaker 1: of Republicans versus the abortion bill. But I also think like, 531 00:27:38,210 --> 00:27:42,770 Speaker 1: this is just such an insane lie. And I think 532 00:27:42,910 --> 00:27:47,640 Speaker 1: it's definitely, it's definitely, it's just like, makes a lot 533 00:27:47,700 --> 00:27:50,699 Speaker 1: of sense. And this is where we are. And also 534 00:27:50,780 --> 00:27:54,310 Speaker 1: Donald Trump has hired some really, really stupid blonde people 535 00:27:54,350 --> 00:27:58,630 Speaker 1: to work in his administration. Tammy Baldwin is the junior 536 00:27:58,670 --> 00:28:04,409 Speaker 1: Senator from Wisconsin. Welcome, welcome, Senator Tammy Baldwin. 537 00:28:04,930 --> 00:28:07,010 Speaker 3: It's great to join you. Thanks for having me. 538 00:28:07,170 --> 00:28:09,930 Speaker 1: You're sort of back on the road, and I want 539 00:28:09,950 --> 00:28:13,409 Speaker 1: you to talk about, this is actually something that I 540 00:28:13,470 --> 00:28:18,560 Speaker 1: believe is like, if the midterms go the way I 541 00:28:18,580 --> 00:28:20,719 Speaker 1: think a lot of us think they will go with 542 00:28:20,740 --> 00:28:25,180 Speaker 1: the polling, farms are going to be like, I think, 543 00:28:25,220 --> 00:28:32,670 Speaker 1: the undercover story of this. election. So you have the 544 00:28:33,070 --> 00:28:37,630 Speaker 1: diesel and then you have the tariffs. And the fertilizer. 545 00:28:38,150 --> 00:28:40,950 Speaker 1: And the fertilizer. So talk to me about farms. Oh, 546 00:28:40,970 --> 00:28:41,450 Speaker 1: my goodness. 547 00:28:41,610 --> 00:28:46,110 Speaker 3: So I started, you know, I love visiting Wisconsin farms. 548 00:28:46,270 --> 00:28:50,290 Speaker 3: We have crop farmers. We have dairy farms. That's what 549 00:28:50,330 --> 00:28:54,590 Speaker 3: we're really known for. And we also have livestock operations. 550 00:28:54,650 --> 00:28:56,490 Speaker 3: And I've been visiting all of them. And I started 551 00:28:56,510 --> 00:29:00,910 Speaker 3: in this year in planting season. So we're already a 552 00:29:01,890 --> 00:29:08,110 Speaker 3: couple months into the war against Iran. The Strait of 553 00:29:08,130 --> 00:29:12,990 Speaker 3: Hormuz is functionally closed. And we hit this spring a 554 00:29:13,590 --> 00:29:18,150 Speaker 3: record high in diesel, $ 5. 80. And I remember being on 555 00:29:18,190 --> 00:29:21,530 Speaker 3: a crop farm and pointing to their combine and said, 556 00:29:21,630 --> 00:29:24,800 Speaker 3: how many gallons of diesel does that hold? And the 557 00:29:24,860 --> 00:29:26,160 Speaker 3: answer was 200. 558 00:29:26,160 --> 00:29:28,300 Speaker 1: I mean, wow. 559 00:29:28,420 --> 00:29:31,940 Speaker 3: I know what my car holds, so it's not that much. 560 00:29:31,960 --> 00:29:38,130 Speaker 3: And they, in preparation for planting, go through that in 561 00:29:38,250 --> 00:29:40,260 Speaker 3: a day, a day and a half. And they're really 562 00:29:40,400 --> 00:29:45,840 Speaker 3: working round the clock to get their fields planted. Also, 563 00:29:46,120 --> 00:29:49,420 Speaker 3: there was a shortage of fertilizer and a high cost 564 00:29:49,460 --> 00:29:50,020 Speaker 3: of fertilizer. 565 00:29:50,120 --> 00:29:52,420 Speaker 1: And so they were rationing. 566 00:29:51,820 --> 00:29:56,120 Speaker 3: 70% of the farmers in Wisconsin could not afford all 567 00:29:56,160 --> 00:29:59,050 Speaker 3: the fertilizer they needed this plant season. So they were, 568 00:29:59,600 --> 00:30:03,460 Speaker 3: you know, painstakingly looking at each field, each acre, what 569 00:30:03,480 --> 00:30:04,960 Speaker 3: do we need to supplement here? 570 00:30:05,020 --> 00:30:06,050 Speaker 1: What can we do without? 571 00:30:06,850 --> 00:30:13,470 Speaker 3: And, and anyway, so now move forward all these months 572 00:30:13,550 --> 00:30:16,610 Speaker 3: and I do another round of visits during harvest season 573 00:30:17,190 --> 00:30:20,040 Speaker 3: and diesel hits a new high. 574 00:30:19,600 --> 00:30:20,700 Speaker 1: Of $ 6 and 81 cents. 575 00:30:20,740 --> 00:30:27,210 Speaker 3: A record high. And, and, you know, in the spring, 576 00:30:27,310 --> 00:30:30,510 Speaker 3: some of these farmers had forward contracted. So they had 577 00:30:30,570 --> 00:30:32,130 Speaker 3: locked in a price for last year. 578 00:30:32,150 --> 00:30:32,790 Speaker 2: Right. 579 00:30:33,170 --> 00:30:33,870 Speaker 1: Oh my gosh. 580 00:30:34,110 --> 00:30:38,550 Speaker 3: Those, um, deals are not available anymore. Uh, and the 581 00:30:38,590 --> 00:30:41,760 Speaker 3: wholesalers probably aren't going to give them because they got 582 00:30:41,820 --> 00:30:46,340 Speaker 3: hit so hard also. So anyways, and then add to 583 00:30:46,400 --> 00:30:50,300 Speaker 3: that Trump's tariffs, Trump's trade wars. So I was at 584 00:30:50,320 --> 00:30:55,820 Speaker 3: a beef, uh, uh, operation in, um, South Central Wisconsin 585 00:30:56,020 --> 00:31:00,820 Speaker 3: last week. And, you know, they're talking not only about 586 00:31:00,900 --> 00:31:06,110 Speaker 3: diesel and about fertilizer, but they're talking about how President 587 00:31:06,190 --> 00:31:11,200 Speaker 3: Trump willy-nilly signed an executive order importing hundreds of thousands 588 00:31:11,300 --> 00:31:12,740 Speaker 3: of tons of ground beef. 589 00:31:13,720 --> 00:31:17,800 Speaker 1: What the heck? You know, yeah, I that's something we 590 00:31:17,840 --> 00:31:21,740 Speaker 1: hear a lot from. So I've been interviewing these these 591 00:31:21,900 --> 00:31:24,900 Speaker 1: members who these people are running for Congress in Texas 592 00:31:24,920 --> 00:31:29,390 Speaker 1: in the Rio Grande Valley, the area where a lot 593 00:31:29,430 --> 00:31:33,610 Speaker 1: of the redistricted seats are. And they say that the 594 00:31:33,710 --> 00:31:36,810 Speaker 1: imported beef thing really got farmers angry. 595 00:31:37,370 --> 00:31:38,209 Speaker 5: Absolutely. 596 00:31:38,270 --> 00:31:40,690 Speaker 3: And, you know, a lot of these are artists and 597 00:31:40,730 --> 00:31:46,290 Speaker 3: farmers around Wisconsin where they're You know, people, their customers 598 00:31:46,370 --> 00:31:50,070 Speaker 3: want to know where their food comes from. And they 599 00:31:50,090 --> 00:31:54,170 Speaker 3: prefer local. And there's not even any labeling to say 600 00:31:54,210 --> 00:31:58,709 Speaker 3: what country these imports are coming from. You know, and 601 00:31:58,910 --> 00:32:04,100 Speaker 3: this is on top of so much other activity of 602 00:32:04,130 --> 00:32:07,900 Speaker 3: Donald Trump that makes their lives harder. Farming is hard 603 00:32:07,960 --> 00:32:10,860 Speaker 3: to begin with. These are the hardest working people I know. 604 00:32:10,880 --> 00:32:14,840 Speaker 3: And you're dealing with Mother Nature and other things that 605 00:32:14,900 --> 00:32:18,890 Speaker 3: are beyond your control. But these were self-inflicted wounds by 606 00:32:18,930 --> 00:32:26,130 Speaker 3: Donald Trump. Tariffs affected fertilizer even before the war in Iran. 607 00:32:27,300 --> 00:32:31,600 Speaker 3: We get most of our potash from Canada. That was 608 00:32:31,640 --> 00:32:35,740 Speaker 3: a big deal. Then his trade negotiations with other countries 609 00:32:35,780 --> 00:32:40,930 Speaker 3: where we lost contracts with China for soy. And so 610 00:32:41,050 --> 00:32:43,710 Speaker 3: we have fewer markets for our farmers. They're losing money 611 00:32:43,790 --> 00:32:48,290 Speaker 3: per acre. And it is all avoidable. These are all 612 00:32:48,410 --> 00:32:51,950 Speaker 3: choices Donald Trump made. And they all fly in the 613 00:32:51,990 --> 00:32:54,890 Speaker 3: face of the promises he made when he was running 614 00:32:54,950 --> 00:32:58,440 Speaker 3: in 2024, which is on day one, I will bring 615 00:32:58,500 --> 00:33:02,890 Speaker 3: down costs. On day one, I will end foreign conflicts. 616 00:33:03,580 --> 00:33:05,180 Speaker 3: And he's done just the opposite. 617 00:33:05,200 --> 00:33:08,440 Speaker 1: I think that the thing I'm struck by is that 618 00:33:08,500 --> 00:33:14,220 Speaker 1: there is farmers, and I've interviewed Rob Sand in Iowa, 619 00:33:14,300 --> 00:33:15,960 Speaker 1: and one of the things he talked about was the 620 00:33:16,000 --> 00:33:23,910 Speaker 1: polluted groundwater. So there's also the climate change bill coming due, right? Absolutely. 621 00:33:24,450 --> 00:33:29,570 Speaker 3: And our farmers have the receipts, so to speak. We've 622 00:33:29,610 --> 00:33:35,010 Speaker 3: had massive flooding. We've had periods of drought. We have 623 00:33:35,730 --> 00:33:38,510 Speaker 3: contaminants in the water. We have some areas of the 624 00:33:38,590 --> 00:33:43,600 Speaker 3: state where the water table for the wells is affected 625 00:33:43,680 --> 00:33:49,080 Speaker 3: by how much water is required in agriculture. We have 626 00:33:49,330 --> 00:33:53,209 Speaker 3: all those challenges. And we're also a great lake state. 627 00:33:53,290 --> 00:33:57,060 Speaker 3: So we sit Um, uh, you know, our, our, uh, 628 00:33:57,230 --> 00:34:00,730 Speaker 3: East coast is Lake Michigan. Our North coast is Lake Superior. 629 00:34:01,190 --> 00:34:05,670 Speaker 3: Largest bodies of fresh water in the entire world. And 630 00:34:05,730 --> 00:34:09,460 Speaker 3: yet we still have, uh, challenges, um, and we have 631 00:34:09,540 --> 00:34:13,440 Speaker 3: to commit to the stewardship of those waters, uh, because 632 00:34:13,480 --> 00:34:17,460 Speaker 3: they are our largest source of fresh drinking water, uh, 633 00:34:17,520 --> 00:34:24,450 Speaker 3: but also for recreation, for fishing, um, for commercial, uh, Navigation, 634 00:34:24,469 --> 00:34:29,180 Speaker 3: you know, a lot of our farmers get their products 635 00:34:29,300 --> 00:34:33,780 Speaker 3: to market through barges and Great Lake Lakers. 636 00:34:34,680 --> 00:34:38,129 Speaker 1: So I want you to talk about election security, because 637 00:34:38,190 --> 00:34:41,569 Speaker 1: this feels like the big thing that everyone I know 638 00:34:41,690 --> 00:34:45,330 Speaker 1: is worried about. And I wonder if you could tell us, 639 00:34:45,570 --> 00:34:48,830 Speaker 1: Wisconsin is a swing state. You have this hotly contested 640 00:34:48,870 --> 00:34:53,930 Speaker 1: governor's race. Tom Tiffany, Republicans would love to have Tom 641 00:34:53,969 --> 00:34:57,660 Speaker 1: Tiffany in there for any number of reasons. So how 642 00:34:57,840 --> 00:35:00,640 Speaker 1: are you guys, what can you do to make elections safe? 643 00:35:00,700 --> 00:35:02,940 Speaker 1: How are you doing it? And should people worry? 644 00:35:03,770 --> 00:35:05,989 Speaker 3: Yeah, I want to make just a comment about the 645 00:35:06,150 --> 00:35:14,479 Speaker 3: governor's race. Tiffany denied Wisconsin's 2020 election results. We cast 646 00:35:14,520 --> 00:35:19,359 Speaker 3: our ballots. They were counted. They were counted again. And 647 00:35:20,239 --> 00:35:24,960 Speaker 3: the person sitting in the governor's office should be the 648 00:35:25,400 --> 00:35:28,580 Speaker 3: first line of defense to make sure that our votes 649 00:35:28,640 --> 00:35:31,020 Speaker 3: are counted. And I know David Crowley will do that. 650 00:35:31,800 --> 00:35:32,860 Speaker 3: But when Tom Tiffany. 651 00:35:34,420 --> 00:35:39,040 Speaker 3: Just persists in his election denialism and votes with Trump 652 00:35:39,040 --> 00:35:41,779 Speaker 3: 100 percent of the time. You know, he's not fit 653 00:35:41,840 --> 00:35:48,430 Speaker 3: to be the person protecting Wisconsinites votes. And David Crowley is. 654 00:35:48,650 --> 00:35:51,350 Speaker 3: But OK, we're going to go beyond the governor's race. 655 00:35:51,590 --> 00:35:54,590 Speaker 3: We have been on high alert in Congress and the 656 00:35:54,650 --> 00:36:02,310 Speaker 3: Senate because every day this president throws out either veiled 657 00:36:02,370 --> 00:36:07,570 Speaker 3: or not so veiled threats to our elections or reheats 658 00:36:07,830 --> 00:36:12,270 Speaker 3: old conspiracy theories and lies about the outcome of previous elections. So, 659 00:36:12,710 --> 00:36:17,370 Speaker 3: you know, he did a primetime address. He, you know, 660 00:36:17,570 --> 00:36:21,650 Speaker 3: is continuing, I think, over 100 times. He's spouted out 661 00:36:22,290 --> 00:36:24,190 Speaker 3: that the 2020 results weren't. 662 00:36:24,030 --> 00:36:26,150 Speaker 1: What were recorded. 663 00:36:27,030 --> 00:36:31,650 Speaker 3: And he's talked frivolously about, or that's maybe not the 664 00:36:31,690 --> 00:36:34,170 Speaker 3: word I want to use, but he's talked about sending 665 00:36:34,550 --> 00:36:39,130 Speaker 3: ICE agents and border patrol agents or National Guard members 666 00:36:39,570 --> 00:36:43,610 Speaker 3: to polling places. And there's no reason for that. And 667 00:36:43,710 --> 00:36:46,860 Speaker 3: it would be illegal, but he's talking about it. And 668 00:36:47,460 --> 00:36:51,759 Speaker 3: Then he's talking about, well, he's obviously seized ballots in 669 00:36:51,860 --> 00:36:56,420 Speaker 3: Georgia before. And so we worry about what will be 670 00:36:56,480 --> 00:36:59,839 Speaker 3: the security of the ballots after the election. And then 671 00:36:59,860 --> 00:37:03,700 Speaker 3: the mail-in ballot issues, his executive orders there. So we're 672 00:37:03,810 --> 00:37:05,930 Speaker 3: in a sort of position of chaos. And when I 673 00:37:06,010 --> 00:37:08,430 Speaker 3: say we think about this all the time, we've gotten 674 00:37:08,610 --> 00:37:12,250 Speaker 3: to the point where we go through scenarios. What if 675 00:37:12,890 --> 00:37:16,149 Speaker 3: He does this, declares some sort of emergency a week 676 00:37:16,210 --> 00:37:17,090 Speaker 3: before the election. 677 00:37:17,410 --> 00:37:18,129 Speaker 1: What do we do? 678 00:37:18,510 --> 00:37:23,050 Speaker 3: And I've been in touch with everyone from our governor 679 00:37:23,210 --> 00:37:27,090 Speaker 3: and our attorney general to the mayors of big cities, 680 00:37:27,150 --> 00:37:31,189 Speaker 3: the county executives of big counties, but also the municipal 681 00:37:31,370 --> 00:37:33,850 Speaker 3: election clerks. And we have more than any other state 682 00:37:33,890 --> 00:37:38,109 Speaker 3: in the country. We are a decentralized. There's no way 683 00:37:38,150 --> 00:37:39,629 Speaker 3: to rig that either, by the way. 684 00:37:39,969 --> 00:37:41,839 Speaker 1: But we have local clerks. 685 00:37:42,570 --> 00:37:45,310 Speaker 3: Who run our elections, and they do so in a secure, 686 00:37:45,770 --> 00:37:46,670 Speaker 3: effective manner. 687 00:37:46,730 --> 00:37:48,950 Speaker 1: Later today, I'm going to be. 688 00:37:49,170 --> 00:37:53,710 Speaker 3: Meeting with another group of local election officials, but I've 689 00:37:53,850 --> 00:37:57,250 Speaker 3: met with them in Milwaukee, in Madison, in Green Bay, 690 00:37:57,690 --> 00:38:02,489 Speaker 3: in La Crosse, and every one of them talks about 691 00:38:02,700 --> 00:38:07,300 Speaker 3: how meticulously they plan for elections and how they train 692 00:38:07,340 --> 00:38:12,319 Speaker 3: their Election Day workers and their early vote workers to 693 00:38:12,640 --> 00:38:17,040 Speaker 3: make sure they are conducting a fair, secure, and accurate election. 694 00:38:17,739 --> 00:38:22,719 Speaker 3: And it's transparent, and I know it's reliable. And so, 695 00:38:23,140 --> 00:38:25,529 Speaker 3: you know, we're trying to boost people's confidence at a 696 00:38:25,590 --> 00:38:30,850 Speaker 3: time when Trump is saying everything he can to sow 697 00:38:30,870 --> 00:38:33,450 Speaker 3: doubt about the elections of the midterm, because he doesn't 698 00:38:33,469 --> 00:38:34,450 Speaker 3: want to be held accountable. 699 00:38:35,540 --> 00:38:39,319 Speaker 1: Well, I wonder if these polls are right, and that's 700 00:38:39,380 --> 00:38:41,940 Speaker 1: a big if, and we have been here before, but 701 00:38:42,060 --> 00:38:47,009 Speaker 1: if they are right, it would mean maybe 50, 52. 702 00:38:47,010 --> 00:38:51,230 Speaker 1: I mean, who even knows, right? I mean, there could 703 00:38:51,270 --> 00:38:54,090 Speaker 1: be a number of flips in the Senate. What is 704 00:38:54,130 --> 00:38:57,890 Speaker 1: the case for flipping the Senate for those who don't 705 00:38:58,070 --> 00:39:02,170 Speaker 1: totally know what that would mean? Because you won't have 706 00:39:02,210 --> 00:39:04,360 Speaker 1: the presidency. You'll have the House, and then you'd have 707 00:39:04,390 --> 00:39:08,070 Speaker 1: the Senate. So, And you won't have 67 votes to 708 00:39:08,219 --> 00:39:11,399 Speaker 1: remove if you were to do an impeachment. So tell 709 00:39:11,460 --> 00:39:14,180 Speaker 1: us what you could do with a flip Senate. 710 00:39:15,020 --> 00:39:19,120 Speaker 3: Well, let's start with the idea that we would set 711 00:39:19,180 --> 00:39:22,790 Speaker 3: the agenda of what comes to the Senate floor and 712 00:39:22,830 --> 00:39:26,270 Speaker 3: what doesn't. So we wouldn't be playing defense as we 713 00:39:26,350 --> 00:39:31,719 Speaker 3: are now when they bring bills that are detrimental to 714 00:39:31,860 --> 00:39:39,130 Speaker 3: our constituents, our folks. And secondly, this has been in 715 00:39:39,170 --> 00:39:46,610 Speaker 3: the news recently, what if a Supreme Court justice decides 716 00:39:46,710 --> 00:39:51,770 Speaker 3: to retire? if we are in charge, Trump is going 717 00:39:51,790 --> 00:39:57,239 Speaker 3: to have to send somebody who's acceptable to the majority. 718 00:39:58,010 --> 00:40:01,640 Speaker 3: And that's a very different person than he would send 719 00:40:02,120 --> 00:40:05,540 Speaker 3: if he has the majority still in the Senate. And 720 00:40:05,580 --> 00:40:09,980 Speaker 3: I don't think on the progressive side of the ledger, 721 00:40:10,040 --> 00:40:14,320 Speaker 3: we talk enough and think enough about the impact of 722 00:40:16,250 --> 00:40:19,730 Speaker 3: of the Supreme Court. And maybe we know it, but 723 00:40:19,810 --> 00:40:22,570 Speaker 3: do we plan and vote that way? And that's really 724 00:40:22,670 --> 00:40:25,090 Speaker 3: one of the critical reasons why we need to win 725 00:40:25,110 --> 00:40:28,560 Speaker 3: the majority back. But we would set the agenda of 726 00:40:28,719 --> 00:40:33,920 Speaker 3: what comes up for consideration. And it would make an 727 00:40:34,020 --> 00:40:39,640 Speaker 3: enormous difference instead of only being poised to play defense. 728 00:40:40,850 --> 00:40:44,160 Speaker 3: We'd be able to set the foundation for so that 729 00:40:44,380 --> 00:40:47,960 Speaker 3: when there is a Democratic president, we'd be ready to go. 730 00:40:48,010 --> 00:40:50,590 Speaker 3: And in the meantime, there would be some incremental progress 731 00:40:50,650 --> 00:40:51,230 Speaker 3: we could make. 732 00:40:52,350 --> 00:40:56,489 Speaker 1: Especially if Trump is so unpopular, will make Republicans vote 733 00:40:56,510 --> 00:40:59,470 Speaker 1: with you. Now, I wonder if you could talk about, like, 734 00:40:59,910 --> 00:41:02,420 Speaker 1: one of the things I'm struck by in this moment 735 00:41:02,540 --> 00:41:05,819 Speaker 1: is that voters are extremely mad, right? Like, we see 736 00:41:05,880 --> 00:41:09,700 Speaker 1: this all over the map. They're mad, and for any 737 00:41:09,760 --> 00:41:13,380 Speaker 1: number of reasons. They can't afford their lives. Yeah, but 738 00:41:13,440 --> 00:41:16,219 Speaker 1: it's all, yeah. That's maddening. They also, I think they 739 00:41:16,239 --> 00:41:19,380 Speaker 1: feel betrayed. I think they, you know, they're just, I 740 00:41:19,400 --> 00:41:24,540 Speaker 1: think it's hit an emotional level level that I haven't 741 00:41:24,620 --> 00:41:29,660 Speaker 1: seen recently in historical elections. So but I wonder if 742 00:41:29,680 --> 00:41:33,279 Speaker 1: you could talk about you if you guys did win 743 00:41:33,300 --> 00:41:35,759 Speaker 1: back the House and the Senate, there is like the 744 00:41:35,900 --> 00:41:39,460 Speaker 1: danger of what happened in the Biden presidency, which is 745 00:41:39,620 --> 00:41:41,600 Speaker 1: even though Biden did a lot of good stuff and, 746 00:41:42,420 --> 00:41:45,980 Speaker 1: you know, there was a certain they were mad like 747 00:41:46,000 --> 00:41:50,050 Speaker 1: they didn't you know, Biden was unable to fix some 748 00:41:50,090 --> 00:41:52,920 Speaker 1: things that were maybe unfixable. And so they were a 749 00:41:52,940 --> 00:41:55,980 Speaker 1: little bit resentful. So like there is a danger there 750 00:41:56,080 --> 00:41:59,260 Speaker 1: that you are able to do some things, but not everything. 751 00:41:59,680 --> 00:42:04,879 Speaker 1: Do you think Democrats understand just how sort of what 752 00:42:05,000 --> 00:42:08,680 Speaker 1: how catastrophic this moment is for most Americans and are 753 00:42:08,760 --> 00:42:13,910 Speaker 1: willing to sort of, you know, not just restore normalcy, 754 00:42:13,969 --> 00:42:17,049 Speaker 1: but try to push for more for their constituents? 755 00:42:17,790 --> 00:42:21,569 Speaker 3: One of the things I'm doing on this recess is 756 00:42:21,719 --> 00:42:25,120 Speaker 3: spending some time with people who are running for state legislature. 757 00:42:26,120 --> 00:42:29,620 Speaker 3: And the reason I'm bringing this up is that 201, 758 00:42:29,620 --> 00:42:33,399 Speaker 3: they've lived the lives that their constituents are living. They've 759 00:42:33,420 --> 00:42:38,540 Speaker 3: walked in the same shoes. They came from places of 760 00:42:38,620 --> 00:42:43,420 Speaker 3: challenge and struggle and are running for office because they 761 00:42:43,600 --> 00:42:49,140 Speaker 3: get this moment. I heard from a candidate who said, 762 00:42:49,219 --> 00:42:51,610 Speaker 3: I decided to run for office the day that our 763 00:42:51,640 --> 00:42:56,109 Speaker 3: local school closed and I had to send my, you know, 764 00:42:56,130 --> 00:42:59,149 Speaker 3: my kindergartner on a bus for 90 minutes to get 765 00:42:59,210 --> 00:43:03,270 Speaker 3: to their new rural school. And that was not acceptable 766 00:43:03,330 --> 00:43:07,989 Speaker 3: to me, you know. Another who said, talked about how 767 00:43:08,070 --> 00:43:11,969 Speaker 3: she grew up volunteering in the food bank and thinking that, oh, 768 00:43:12,270 --> 00:43:15,609 Speaker 3: we volunteer. Well, we volunteer because we get food from 769 00:43:15,650 --> 00:43:17,790 Speaker 3: the food bank. And her mother never told her that's 770 00:43:17,930 --> 00:43:21,270 Speaker 3: why they volunteered, but that was one of the agreements 771 00:43:21,290 --> 00:43:23,509 Speaker 3: that if you got food from the food bank, you 772 00:43:23,550 --> 00:43:25,830 Speaker 3: had to volunteer at it. And she didn't know that 773 00:43:25,870 --> 00:43:28,370 Speaker 3: growing up, but she learned about. 774 00:43:31,070 --> 00:43:34,850 Speaker 3: Food insecurity. And so I do think that we're a 775 00:43:34,910 --> 00:43:38,250 Speaker 3: party of people who have gotten that, who get that, 776 00:43:38,610 --> 00:43:44,150 Speaker 3: and are living that. And that was kind of a 777 00:43:44,190 --> 00:43:48,170 Speaker 3: digression from your larger question. Are we ready to govern? 778 00:43:48,969 --> 00:43:52,029 Speaker 3: So again, I focus a little bit on the state legislature. 779 00:43:52,050 --> 00:43:55,510 Speaker 3: We have a possibility, in fact, maybe even a probability 780 00:43:55,570 --> 00:43:58,540 Speaker 3: of flipping our state legislature for the first time in 781 00:43:58,540 --> 00:43:58,839 Speaker 3: 16 years. 782 00:44:00,540 --> 00:44:01,360 Speaker 1: They're ready. 783 00:44:01,380 --> 00:44:05,640 Speaker 3: They've been thinking about what it is that they would 784 00:44:05,700 --> 00:44:08,520 Speaker 3: get done if they're able to finally be in the 785 00:44:08,560 --> 00:44:13,319 Speaker 3: majority and not just playing defense. And I think, you know, 786 00:44:13,360 --> 00:44:16,739 Speaker 3: at the congressional level, the same is true. We haven't 787 00:44:16,920 --> 00:44:20,640 Speaker 3: just been thinking about how we stand up to Trump 788 00:44:20,800 --> 00:44:25,069 Speaker 3: on every one of his illegal and unconstitutional overreaches, but 789 00:44:25,190 --> 00:44:29,370 Speaker 3: also if given power, what we will do proactively to 790 00:44:29,430 --> 00:44:32,830 Speaker 3: make the lives of Americans more affordable and better and 791 00:44:32,870 --> 00:44:34,410 Speaker 3: to create greater opportunity. 792 00:44:36,219 --> 00:44:40,840 Speaker 1: If that means, like, I think there are some older 793 00:44:42,030 --> 00:44:44,550 Speaker 1: I don't want to say older. There are some members 794 00:44:44,790 --> 00:44:49,790 Speaker 1: of the Senate who really do, who are much more 795 00:44:49,830 --> 00:44:53,250 Speaker 1: business as usual. Do you think, are you open to like, 796 00:44:53,510 --> 00:44:58,690 Speaker 1: if the need be, to really doing things in very 797 00:44:58,750 --> 00:44:59,430 Speaker 1: different ways? 798 00:45:00,410 --> 00:45:03,350 Speaker 3: You know, I think that the moment, look, we have 799 00:45:03,390 --> 00:45:05,969 Speaker 3: a president who does things in very different ways. I 800 00:45:06,510 --> 00:45:11,730 Speaker 3: am not for... doing things that are illegal or unconstitutional 801 00:45:11,870 --> 00:45:17,390 Speaker 3: as he does. But we have to rise to this moment. 802 00:45:18,270 --> 00:45:23,219 Speaker 3: And this has been extraordinary, unprecedented, words that we've used 803 00:45:23,360 --> 00:45:30,420 Speaker 3: over and over again about very concerning things that are happening. 804 00:45:30,440 --> 00:45:33,170 Speaker 3: We have to defend our democracy. But really, you know, 805 00:45:33,950 --> 00:45:37,170 Speaker 3: This is about what is top of mind for voters. 806 00:45:37,230 --> 00:45:41,410 Speaker 3: And I think for voters, it is making life affordable, 807 00:45:41,880 --> 00:45:45,860 Speaker 3: making sure that hard work means a good life. And 808 00:45:45,900 --> 00:45:50,200 Speaker 3: that's not a given right now. And and then beyond that, 809 00:45:51,000 --> 00:45:55,870 Speaker 3: reinstituting the checks and balances and accountability that need to 810 00:45:55,969 --> 00:45:58,930 Speaker 3: exist for a healthy, functioning democracy. 811 00:45:59,210 --> 00:46:03,090 Speaker 1: Tammy Baldwin, thank you. Thank you. Thank you, Senator Baldwin. 812 00:46:03,530 --> 00:46:04,509 Speaker 3: Thank you for having me. 813 00:46:04,750 --> 00:46:09,050 Speaker 1: Good to see you. Beth Macy is a journalist, author, 814 00:46:09,469 --> 00:46:15,600 Speaker 1: and the Democratic nominee for Virginia's 6th District. Welcome, welcome, 815 00:46:15,660 --> 00:46:17,980 Speaker 1: Beth Macy. Thanks, Molly. 816 00:46:18,040 --> 00:46:19,340 Speaker 5: It's great to see you again. 817 00:46:19,960 --> 00:46:24,220 Speaker 1: It's great to see you. And I'm so I'm really 818 00:46:24,620 --> 00:46:29,029 Speaker 1: just delighted to have you. So because the author to 819 00:46:29,450 --> 00:46:32,930 Speaker 1: Congresswoman Pipeline has a particular place in my heart for 820 00:46:33,010 --> 00:46:38,510 Speaker 1: obvious reasons. So let's talk about you come from book world. 821 00:46:39,180 --> 00:46:39,880 Speaker 1: talk to me. 822 00:46:40,200 --> 00:46:42,560 Speaker 5: So I just wrote my fifth book that came out 823 00:46:42,600 --> 00:46:46,200 Speaker 5: last year. You and I met at an awards thing 824 00:46:46,219 --> 00:46:49,320 Speaker 5: that we both lost. So users unite. 825 00:46:49,800 --> 00:46:53,220 Speaker 1: That's right. Listen, I'm just shocked I was ever nominated 826 00:46:53,239 --> 00:46:53,859 Speaker 1: for anything. 827 00:46:55,160 --> 00:46:57,129 Speaker 5: So at the end of my last book, Paper Girl, 828 00:46:57,170 --> 00:47:00,390 Speaker 5: which is a memoir in which I'm finishing it at 829 00:47:00,430 --> 00:47:03,989 Speaker 5: the exact moment that Trump is reascending the throne. And 830 00:47:04,110 --> 00:47:09,700 Speaker 5: I'm feeling so just depressed and at a loss and 831 00:47:09,739 --> 00:47:13,219 Speaker 5: I start rallying outside of our no show MAGA congressman's 832 00:47:13,380 --> 00:47:16,120 Speaker 5: office and people start asking me to run. And at 833 00:47:16,140 --> 00:47:19,040 Speaker 5: the end of the book, I say, um, not thinking 834 00:47:19,060 --> 00:47:21,060 Speaker 5: it would ever be me. Cause there's about 15 things 835 00:47:21,100 --> 00:47:23,089 Speaker 5: I wouldn't have put in the book. Had I known 836 00:47:23,110 --> 00:47:25,089 Speaker 5: I was going to run for office. I say, we 837 00:47:25,110 --> 00:47:27,750 Speaker 5: got to elect better people for office. And then the 838 00:47:27,790 --> 00:47:30,710 Speaker 5: people at these rallies, which we just have met for 839 00:47:30,730 --> 00:47:33,570 Speaker 5: the 88th week in a row as of Monday, um, 840 00:47:36,230 --> 00:47:39,189 Speaker 5: started encouraging me to run. And I still said, no, 841 00:47:39,270 --> 00:47:42,610 Speaker 5: I've got a great life. It's pretty easy compared to 842 00:47:42,650 --> 00:47:45,549 Speaker 5: my old job of being a news reporter. Yeah, my 843 00:47:45,590 --> 00:47:48,350 Speaker 5: own boss. But then it's just like the country's on fire. 844 00:47:48,910 --> 00:47:51,850 Speaker 1: I would love you to talk about Dope Sec just because, 845 00:47:53,370 --> 00:47:57,910 Speaker 1: you know, I'm rereading this this another book that runs 846 00:47:58,950 --> 00:48:02,820 Speaker 1: into it about the Empire of Pain. 847 00:48:02,900 --> 00:48:03,680 Speaker 5: Oh, that's a great book. 848 00:48:04,250 --> 00:48:04,630 Speaker 3: Yeah. 849 00:48:04,670 --> 00:48:06,830 Speaker 1: So I was wondering if you could talk about Dope 850 00:48:06,870 --> 00:48:11,320 Speaker 1: Sick and because also it is a Danny Strong miniseries, too. 851 00:48:11,440 --> 00:48:13,560 Speaker 1: It went on to do a lot of stuff and 852 00:48:13,600 --> 00:48:17,719 Speaker 1: to talk about a crisis which dovetails with your congressional run. 853 00:48:17,739 --> 00:48:24,390 Speaker 5: Yeah, exactly right. So after the midterms, a whole bunch 854 00:48:24,430 --> 00:48:26,510 Speaker 5: of millions of people are going to lose their Medicaid 855 00:48:26,550 --> 00:48:29,710 Speaker 5: and it's going to send addiction treatment back decades. That's 856 00:48:29,730 --> 00:48:32,089 Speaker 5: not me saying that. That's all the experts that I've 857 00:48:32,110 --> 00:48:35,670 Speaker 5: been interviewing for the last 15 years. And you started 858 00:48:35,730 --> 00:48:39,730 Speaker 5: to see a slight decrease in overdose deaths. And that's 859 00:48:39,790 --> 00:48:41,609 Speaker 5: mainly because of the Medicaid expansion. 860 00:48:41,790 --> 00:48:42,630 Speaker 1: And with this. 861 00:48:44,390 --> 00:48:49,719 Speaker 5: D expansion, it's, you know, in Virginia, 3,000 people, 300,000 862 00:48:49,719 --> 00:48:52,060 Speaker 5: people alone are going to lose their Medicaid. 863 00:48:52,200 --> 00:48:53,180 Speaker 1: It's going to be really bad. 864 00:48:53,219 --> 00:48:57,440 Speaker 5: Last night I was at a fundraiser and the husband 865 00:48:57,460 --> 00:49:00,759 Speaker 5: of somebody or the wife of somebody I know came 866 00:49:00,820 --> 00:49:03,680 Speaker 5: up to me and said, my sister lives in your district. 867 00:49:04,090 --> 00:49:07,740 Speaker 5: And she's been on MAT, which is buprenorphine or Suboxone, 868 00:49:08,739 --> 00:49:12,020 Speaker 5: for eight years. She's been in recovery. She hasn't died. 869 00:49:12,640 --> 00:49:14,529 Speaker 5: And she just found out she's going to lose her 870 00:49:14,570 --> 00:49:18,250 Speaker 5: Medicaid next month. And she doesn't know what she's going 871 00:49:18,290 --> 00:49:18,529 Speaker 5: to do. 872 00:49:18,550 --> 00:49:18,630 Speaker 2: Yeah. 873 00:49:19,340 --> 00:49:23,060 Speaker 5: I mean, these are stories I'm hearing. And, you know, 874 00:49:23,180 --> 00:49:26,900 Speaker 5: if you watch the series or you've read the book. 875 00:49:27,700 --> 00:49:30,380 Speaker 5: I talk about, you know, the book came out in 2018. 876 00:49:30,380 --> 00:49:32,890 Speaker 5: The series, I think, came out in 2021. 877 00:49:32,890 --> 00:49:36,790 Speaker 1: Right, which is 10,000 million years ago for those of 878 00:49:37,010 --> 00:49:41,870 Speaker 1: us keeping track at home. We've lived 100 lifetimes since then. Yes, 879 00:49:41,910 --> 00:49:42,110 Speaker 1: go on. 880 00:49:42,110 --> 00:49:45,940 Speaker 5: Yeah, but it's only gotten worse, largely. I mean, when 881 00:49:46,160 --> 00:49:48,800 Speaker 5: Dope Set came out in 2018, I would say, because 882 00:49:48,840 --> 00:49:51,840 Speaker 5: this was the latest data, that one-third of all American 883 00:49:52,100 --> 00:49:56,020 Speaker 5: families are suffering because of this crisis. Now it's two-thirds. 884 00:49:56,280 --> 00:49:58,420 Speaker 5: So it's still the number one killer of people in 885 00:49:58,440 --> 00:50:01,239 Speaker 5: their 20s and 30s. And nobody wants to talk about 886 00:50:01,300 --> 00:50:03,940 Speaker 5: it because it's sad or whatever. You know, I wrote 887 00:50:03,980 --> 00:50:08,259 Speaker 5: a follow-up book, which was much more activist-y, called Raising Lazarus, 888 00:50:08,400 --> 00:50:10,840 Speaker 5: in which Nan Golden was a main character and the 889 00:50:10,900 --> 00:50:13,660 Speaker 5: lawyers that were trying to take down the Sacklers were 890 00:50:13,700 --> 00:50:17,910 Speaker 5: main characters. And, you know, that's when I became an activist. 891 00:50:18,130 --> 00:50:21,759 Speaker 5: It sort of gave me permission because... How's this revolving 892 00:50:21,880 --> 00:50:25,509 Speaker 5: door out of Washington working out for anybody? How is 893 00:50:25,610 --> 00:50:30,250 Speaker 5: this family of millionaires that wanted to be billionaires still getting, 894 00:50:30,270 --> 00:50:34,430 Speaker 5: I mean, they paid 7.4 billion recently, the Sacklers did, 895 00:50:34,850 --> 00:50:37,960 Speaker 5: but nobody went to jail. And as a prosecutor in 896 00:50:37,980 --> 00:50:40,799 Speaker 5: Dopesick says, when it's a white collar criminal and they 897 00:50:40,820 --> 00:50:42,840 Speaker 5: don't go to jail, the behavior continues. 898 00:50:43,700 --> 00:50:47,040 Speaker 1: So let's talk. Yes, true. Let's talk. I'd love you 899 00:50:47,080 --> 00:50:51,690 Speaker 1: to talk about you come from newspapers. One of the 900 00:50:51,770 --> 00:50:55,680 Speaker 1: things that I'm so struck by is we, you know, 901 00:50:56,180 --> 00:50:59,270 Speaker 1: all the local news has been you know, died in 902 00:50:59,410 --> 00:51:03,160 Speaker 1: a really just the darkest possible way. And what has 903 00:51:04,219 --> 00:51:09,640 Speaker 1: taken over for them is like red sludge. And, you know, 904 00:51:09,660 --> 00:51:14,110 Speaker 1: a lot of, I mean, reporting is in dire straits. 905 00:51:14,570 --> 00:51:17,010 Speaker 1: I would love you to talk about like, You could 906 00:51:17,070 --> 00:51:20,750 Speaker 1: win your congressional seat and you could end up I mean, 907 00:51:20,790 --> 00:51:24,180 Speaker 1: the way the winds are blowing and you're in Virginia. 908 00:51:24,280 --> 00:51:27,879 Speaker 1: I mean, you know, it's an R plus 12. But 909 00:51:27,960 --> 00:51:31,939 Speaker 1: like there's a you know, we're seeing early voting that 910 00:51:32,420 --> 00:51:35,360 Speaker 1: and again, we don't you know, polls have been wrong. 911 00:51:35,440 --> 00:51:39,089 Speaker 1: But like we're seeing early voting that's showing, you know, 912 00:51:39,210 --> 00:51:44,600 Speaker 1: Latino voters coming out in droves. to vote against Trump 913 00:51:44,719 --> 00:51:49,630 Speaker 1: and Democratic early vote is like ridiculously high. I wonder 914 00:51:50,750 --> 00:51:53,910 Speaker 1: if you were to win, what would you do? Because 915 00:51:53,950 --> 00:51:58,469 Speaker 1: you are, you are a journalist, you come from journalism world, 916 00:51:58,510 --> 00:52:00,750 Speaker 1: you've written a bunch of books, you understand the importance 917 00:52:00,890 --> 00:52:02,430 Speaker 1: of holding power to account. 918 00:52:03,430 --> 00:52:06,489 Speaker 5: Well, I would do what I've been doing, which is 919 00:52:06,510 --> 00:52:08,960 Speaker 5: this whole race I've been running up and down the 920 00:52:09,000 --> 00:52:13,190 Speaker 5: district on the map behind me, with my reporter's notebook 921 00:52:13,850 --> 00:52:16,910 Speaker 5: and trying to find out what the real impact on 922 00:52:16,950 --> 00:52:21,069 Speaker 5: the ground is of the people being impacted first by 923 00:52:21,110 --> 00:52:24,930 Speaker 5: the doge cuts. So I've been having veteran town halls, 924 00:52:25,110 --> 00:52:28,290 Speaker 5: veterans are, you know, they have to retell their story, 925 00:52:28,310 --> 00:52:31,489 Speaker 5: their traumatic story every time they go because people are 926 00:52:31,510 --> 00:52:35,549 Speaker 5: leaving and they're not being replaced at VA. So farmers, 927 00:52:36,230 --> 00:52:39,420 Speaker 5: I'm talking to farmers who have never voted for a 928 00:52:39,450 --> 00:52:42,299 Speaker 5: Democrat in their life and they're asking for Farmers for 929 00:52:42,340 --> 00:52:45,420 Speaker 5: Macy's signs, big, giant four by eight signs to put out. 930 00:52:45,660 --> 00:52:47,560 Speaker 5: And some of their neighbors are giving them grief and 931 00:52:47,580 --> 00:52:51,740 Speaker 5: they're still putting them out because they said, my opponent, 932 00:52:51,760 --> 00:52:55,460 Speaker 5: Ben Klein, his first commercial TV said, I'm working to 933 00:52:55,500 --> 00:53:00,440 Speaker 5: lower your gas prices. And this woman farmer who is 934 00:53:00,480 --> 00:53:04,400 Speaker 5: also a veteran said, he can't gaslight me about gas prices. 935 00:53:04,760 --> 00:53:09,940 Speaker 5: I'm done with it. He voted against releasing the Epstein files. 936 00:53:10,000 --> 00:53:13,240 Speaker 5: I mean, he's just an awful human. And if he's talking, 937 00:53:13,280 --> 00:53:16,290 Speaker 5: he's lying. And they are starting to realize it. And 938 00:53:16,330 --> 00:53:20,470 Speaker 5: her husband, whose family has been beef farming the same 939 00:53:20,550 --> 00:53:25,930 Speaker 5: property for 300 years, going back to the Revolutionary War, said, look, 940 00:53:26,150 --> 00:53:28,739 Speaker 5: I just want to hang out with my cows. I 941 00:53:28,780 --> 00:53:31,400 Speaker 5: never wanted to be into politics. He had voted for 942 00:53:31,440 --> 00:53:35,200 Speaker 5: Trump twice. But he said, when Trump In the middle 943 00:53:35,219 --> 00:53:38,700 Speaker 5: of the night can release a tweet saying that we're 944 00:53:38,719 --> 00:53:41,779 Speaker 5: going to import beef. He said a quarter of my 945 00:53:41,880 --> 00:53:45,799 Speaker 5: equity in my cows was lost because of him and 946 00:53:45,950 --> 00:53:49,020 Speaker 5: the ridiculousness on the phone. And they're just done with it. 947 00:53:49,330 --> 00:53:50,910 Speaker 5: So I think I can flip this seat. 948 00:53:52,280 --> 00:53:55,970 Speaker 1: So tell me about I I'm thinking about the doge 949 00:53:56,010 --> 00:54:01,169 Speaker 1: cuts because I saw this Elon Musk movie that that 950 00:54:01,290 --> 00:54:05,069 Speaker 1: Alex Gibney did. And in it, there's so you know, 951 00:54:05,350 --> 00:54:08,069 Speaker 1: there's so much video of the all in guys just 952 00:54:08,170 --> 00:54:11,700 Speaker 1: laughing about the doge cuts and that. I mean, just 953 00:54:11,760 --> 00:54:15,420 Speaker 1: the kind of havoc they wreaked on the federal government. 954 00:54:15,600 --> 00:54:17,600 Speaker 1: I'd love you to talk about what you see on 955 00:54:17,620 --> 00:54:19,020 Speaker 1: the ground as a result of that. 956 00:54:19,260 --> 00:54:22,320 Speaker 5: We just had a town hall last week in Winchester, Virginia, 957 00:54:22,340 --> 00:54:25,700 Speaker 5: the top part of the district, for federal workers, those 958 00:54:25,739 --> 00:54:29,560 Speaker 5: who have been doged and those who have left just 959 00:54:29,620 --> 00:54:32,140 Speaker 5: because they thought it was coming and those that are 960 00:54:32,180 --> 00:54:34,460 Speaker 5: still in and couldn't even give their names, but stood 961 00:54:34,520 --> 00:54:37,540 Speaker 5: up and told stories like, I'm a statistician at. 962 00:54:39,260 --> 00:54:39,660 Speaker 2: The U.S. 963 00:54:39,700 --> 00:54:45,580 Speaker 5: Census Department. And she said, we are passionately bipartisan. And 964 00:54:45,620 --> 00:54:50,540 Speaker 5: she's seen all these cuts, people losing their position, having 965 00:54:50,580 --> 00:54:54,239 Speaker 5: to retire early. And she said one of her friends 966 00:54:54,410 --> 00:54:56,870 Speaker 5: retired early and hasn't even been able to get a 967 00:54:56,930 --> 00:55:00,770 Speaker 5: retirement because there isn't the capacity in the federal government 968 00:55:01,050 --> 00:55:05,330 Speaker 5: to process her retirement paperwork. And she's not getting 20%. 969 00:55:05,330 --> 00:55:08,719 Speaker 5: I mean, it was shocking to me. And then, you know, 970 00:55:08,739 --> 00:55:12,100 Speaker 5: I have veterans coming up saying, you know, what is 971 00:55:12,180 --> 00:55:20,030 Speaker 5: happening here? My opponent has voted twice to privatize VA care, which, 972 00:55:20,090 --> 00:55:23,510 Speaker 5: you know, that was all mapped out in Project 2025. 973 00:55:23,510 --> 00:55:26,610 Speaker 5: They voted to cut PAC Act funding, which helps veterans 974 00:55:26,730 --> 00:55:28,370 Speaker 5: with Agent Orange. 975 00:55:28,910 --> 00:55:29,290 Speaker 3: Yeah. 976 00:55:29,870 --> 00:55:34,070 Speaker 5: Get services, you know, and we've been holding town halls 977 00:55:34,170 --> 00:55:36,710 Speaker 5: with veterans too, and we don't, they're not political. We 978 00:55:36,730 --> 00:55:39,509 Speaker 5: just want to hear how their care is being impacted. 979 00:55:40,130 --> 00:55:42,090 Speaker 5: And as a result of one of them, a woman 980 00:55:42,130 --> 00:55:45,660 Speaker 5: reached out, her husband was a Vietnam hero. He went 981 00:55:45,739 --> 00:55:48,580 Speaker 5: on to become a lawyer, lost an eye in a battle, 982 00:55:48,660 --> 00:55:52,380 Speaker 5: saved five of his troops, and then was responsible for 983 00:55:55,430 --> 00:55:58,589 Speaker 5: with a team that built the Vietnam Wall. And he 984 00:55:58,630 --> 00:56:03,340 Speaker 5: now has Agent Orange-related Parkinson's disease. His name is John Morrison, 985 00:56:03,400 --> 00:56:06,020 Speaker 5: and I have permission from him and his wife to 986 00:56:06,060 --> 00:56:09,480 Speaker 5: tell this story because she could not get that man 987 00:56:09,500 --> 00:56:11,820 Speaker 5: a hospice bed when it was time for him to 988 00:56:11,860 --> 00:56:15,460 Speaker 5: go to hospice. And so she knew I was doing 989 00:56:15,500 --> 00:56:17,840 Speaker 5: these town halls. She called me and I put on 990 00:56:17,860 --> 00:56:20,790 Speaker 5: my reporter hat, which meant I called everybody I knew. 991 00:56:21,670 --> 00:56:24,989 Speaker 5: And somebody on my team, one of the volunteers, was 992 00:56:25,110 --> 00:56:28,339 Speaker 5: able to find that man a hospice bed. And I'm 993 00:56:28,460 --> 00:56:30,560 Speaker 5: already doing his job for him. 994 00:56:30,580 --> 00:56:36,380 Speaker 1: You know? So tell me about, I want you to 995 00:56:36,420 --> 00:56:38,379 Speaker 1: tell me about, so you're going up and down this 996 00:56:38,480 --> 00:56:45,110 Speaker 1: huge district, which is, do you, are you seeing MAGA signs? 997 00:56:45,989 --> 00:56:48,740 Speaker 1: Not very many. Not very many. 998 00:56:49,390 --> 00:56:50,980 Speaker 5: In fact, I just went to a wedding way up 999 00:56:51,000 --> 00:56:53,660 Speaker 5: in the mountains and there were way more signs for 1000 00:56:53,700 --> 00:56:55,819 Speaker 5: me than they were for Ben Klein. And people were 1001 00:56:55,880 --> 00:56:57,660 Speaker 5: commenting on it because a lot of people were going 1002 00:56:57,700 --> 00:56:59,819 Speaker 5: up to the wedding and they're like, we've never seen 1003 00:56:59,860 --> 00:57:02,660 Speaker 5: this like this before. I don't know if people are 1004 00:57:02,680 --> 00:57:05,379 Speaker 5: going to stay home. We know some people have, like 1005 00:57:05,420 --> 00:57:08,220 Speaker 5: they've gone on camera for me for my social media 1006 00:57:08,260 --> 00:57:12,060 Speaker 5: posts saying, you know, we have our latest video has 1007 00:57:12,080 --> 00:57:15,210 Speaker 5: somebody taking down a Trump sign and in his garage 1008 00:57:15,670 --> 00:57:18,810 Speaker 5: after he put up the Farmers for Macy sign. And 1009 00:57:19,830 --> 00:57:24,550 Speaker 5: it feels like they're, you know, knock on wood, that 1010 00:57:24,590 --> 00:57:27,790 Speaker 5: people are going to stay home, that they realize they're 1011 00:57:27,810 --> 00:57:32,200 Speaker 5: being gaslit about their gas prices. And they're just struggling. 1012 00:57:32,240 --> 00:57:35,040 Speaker 5: So I'm trying to meet them at the points of 1013 00:57:35,080 --> 00:57:39,400 Speaker 5: their pain, not necessarily their politics. And I've always been 1014 00:57:39,440 --> 00:57:44,040 Speaker 5: an equal opportunity critic of, you know, NAFTA happens under Clinton. 1015 00:57:45,000 --> 00:57:47,900 Speaker 5: The Fairness Doctrine, which, you know, paves the way for 1016 00:57:48,000 --> 00:57:51,220 Speaker 5: Fox and Rush Limbaugh, gets axed under Reagan. But the 1017 00:57:51,260 --> 00:57:55,170 Speaker 5: Communications Decency Act, that's also under Clinton. And that's what 1018 00:57:55,350 --> 00:57:59,070 Speaker 5: allowed for the collapse of local news that you were 1019 00:57:59,110 --> 00:58:02,430 Speaker 5: just talking about and the fact that lies spread six 1020 00:58:02,470 --> 00:58:04,700 Speaker 5: times faster than the truth on social media. 1021 00:58:04,780 --> 00:58:08,820 Speaker 1: So say when, like, let's just talk, because I, this 1022 00:58:08,900 --> 00:58:11,860 Speaker 1: is something that's actually passionate, that's near and dear to 1023 00:58:11,920 --> 00:58:14,400 Speaker 1: my heart. And I have taught, and I feel like 1024 00:58:15,730 --> 00:58:20,810 Speaker 1: I these news operations, the ones that have real reporting, 1025 00:58:20,890 --> 00:58:24,240 Speaker 1: where people are out there holding power to account, where 1026 00:58:24,280 --> 00:58:27,780 Speaker 1: they are in the this is the unglamorous work. This 1027 00:58:27,860 --> 00:58:36,210 Speaker 1: is the stuff that, you know, occasionally gets highlighted. that 1028 00:58:36,250 --> 00:58:40,090 Speaker 1: gets highlighted occasionally in national news, but often doesn't, right? 1029 00:58:40,150 --> 00:58:45,510 Speaker 1: Like this is the lobbyists spending extra time pushing a 1030 00:58:45,550 --> 00:58:48,900 Speaker 1: bill that maybe isn't as good as another bill, or 1031 00:58:48,920 --> 00:58:52,760 Speaker 1: this is the unglamorous stuff, but the stuff that is 1032 00:58:53,120 --> 00:58:58,620 Speaker 1: critical If you're going to have real, you know, real 1033 00:58:58,660 --> 00:59:03,770 Speaker 1: legislation that serves the people, how would you what would 1034 00:59:03,830 --> 00:59:06,910 Speaker 1: be the thing you would do to help local news 1035 00:59:07,050 --> 00:59:11,520 Speaker 1: outlets survive, like to encourage a pro-public? or an NPR 1036 00:59:11,640 --> 00:59:13,960 Speaker 1: or a place that does the real stuff? I mean, 1037 00:59:14,100 --> 00:59:17,480 Speaker 1: is that a tax incentive for local news? Is it 1038 00:59:17,540 --> 00:59:23,620 Speaker 1: making that nonpartisan reporting a 501 C4 C3? I mean, 1039 00:59:23,660 --> 00:59:26,940 Speaker 1: what what is your is there some magic bullet in 1040 00:59:26,980 --> 00:59:27,460 Speaker 1: your mind? 1041 00:59:28,010 --> 00:59:30,390 Speaker 5: Well, I don't know that there's one magic bullet, but 1042 00:59:30,430 --> 00:59:33,410 Speaker 5: you're starting to see there's a great nonprofit org called 1043 00:59:33,470 --> 00:59:37,950 Speaker 5: States Newsroom, and they're doing some really great reporting. Their 1044 00:59:38,010 --> 00:59:41,530 Speaker 5: reporting helped inform my book, Paper Girl, which was an 1045 00:59:41,590 --> 00:59:45,410 Speaker 5: account of me going back home to my rural, red, 1046 00:59:45,550 --> 00:59:48,890 Speaker 5: small town in Ohio, which has no news. I mean, 1047 00:59:48,910 --> 00:59:51,610 Speaker 5: they have like half of a reporter. And when I 1048 00:59:51,650 --> 00:59:54,430 Speaker 5: was there as a young intern, God knows how many 1049 00:59:54,450 --> 00:59:59,280 Speaker 5: years ago, 40 years ago, They had 11 reporters. What 1050 00:59:59,320 --> 01:00:01,260 Speaker 5: does that look like on the ground? Everybody just getting 1051 01:00:01,300 --> 01:00:04,190 Speaker 5: national news from Fox News and Newsmax, including most of 1052 01:00:04,250 --> 01:00:08,730 Speaker 5: my relatives. you can see like i love the new 1053 01:00:08,750 --> 01:00:11,090 Speaker 5: york times i read it every day i read the 1054 01:00:11,130 --> 01:00:14,270 Speaker 5: post sometimes i got mad at them when bezos you 1055 01:00:14,310 --> 01:00:16,420 Speaker 5: know and i quit it and then i was like 1056 01:00:16,460 --> 01:00:17,580 Speaker 5: no i gotta support it and i. 1057 01:00:17,580 --> 01:00:21,700 Speaker 1: Went back it's useful for virginia especially yeah yeah yeah. 1058 01:00:21,540 --> 01:00:23,500 Speaker 5: So so we went back to that of course read 1059 01:00:23,540 --> 01:00:25,880 Speaker 5: heather cox richardson and all that but what we really 1060 01:00:25,940 --> 01:00:32,400 Speaker 5: need is um incentives for smaller places that vote mostly red. 1061 01:00:32,820 --> 01:00:36,380 Speaker 5: So they can really get fact-based news because you would 1062 01:00:36,460 --> 01:00:39,660 Speaker 5: not believe in Paper Girl, the number of my own 1063 01:00:39,720 --> 01:00:41,910 Speaker 5: personal friends that I grew up with that I've known 1064 01:00:41,950 --> 01:00:46,010 Speaker 5: since ages of four and five who now believe in QAnon. 1065 01:00:46,610 --> 01:00:47,350 Speaker 1: Right, still. 1066 01:00:47,510 --> 01:00:50,410 Speaker 5: And they'll say things to me like, I hate the media. 1067 01:00:50,490 --> 01:00:53,280 Speaker 5: And I'll say, Joy, but I'm the media too. You 1068 01:00:53,360 --> 01:00:56,280 Speaker 5: love me. And then I told her this story that 1069 01:00:56,300 --> 01:00:58,800 Speaker 5: I recounted, Paper Girl. I said, you know, when I 1070 01:00:58,820 --> 01:01:00,620 Speaker 5: write an op-ed for the New York Times, and you 1071 01:01:00,660 --> 01:01:04,360 Speaker 5: know this, Molly, it is fact-checked for many, many hours, 1072 01:01:04,420 --> 01:01:08,110 Speaker 5: sometimes for days. I wrote a piece once in which 1073 01:01:08,170 --> 01:01:11,720 Speaker 5: they tracked down A homeless, addicted person who no longer 1074 01:01:11,760 --> 01:01:13,340 Speaker 5: had the cell phone number. I don't know how they 1075 01:01:13,360 --> 01:01:16,040 Speaker 5: found him. Just to verify my account that I had 1076 01:01:16,060 --> 01:01:19,220 Speaker 5: gotten six months before because his story had changed. Like, 1077 01:01:19,320 --> 01:01:21,540 Speaker 5: that's the efforts that they go to. And when I 1078 01:01:21,600 --> 01:01:24,570 Speaker 5: told my friend that, she snaps back at me. Well, 1079 01:01:24,590 --> 01:01:28,410 Speaker 5: who fact checks the fact checkers? Like, in a really 1080 01:01:28,550 --> 01:01:33,070 Speaker 5: angry account. You know, they've made it so that, like, 1081 01:01:33,250 --> 01:01:35,550 Speaker 5: a quarter of us can't have Thanksgiving dinner with our 1082 01:01:35,610 --> 01:01:38,320 Speaker 5: families anymore. These new silos, I think we need to 1083 01:01:38,380 --> 01:01:42,220 Speaker 5: bring back some version of the fairness doctrine. I think 1084 01:01:43,320 --> 01:01:46,860 Speaker 5: we need to rewrite the Communications Decency Act so that 1085 01:01:47,320 --> 01:01:52,310 Speaker 5: Zuckerberg is responsible for knowingly spreading innovation to be held 1086 01:01:52,350 --> 01:01:55,030 Speaker 5: to the same standards that the New York Times is 1087 01:01:55,770 --> 01:01:56,170 Speaker 5: held to. 1088 01:01:56,190 --> 01:01:56,650 Speaker 1: For sure. 1089 01:01:57,310 --> 01:01:59,690 Speaker 5: Yeah, because we're just getting rich off of our divisions. 1090 01:02:01,000 --> 01:02:04,410 Speaker 1: So talk me through your opponent talk me through the 1091 01:02:04,430 --> 01:02:07,400 Speaker 1: sort of very the big differences between. 1092 01:02:07,090 --> 01:02:09,910 Speaker 5: You and him So many so many well the first 1093 01:02:09,950 --> 01:02:12,610 Speaker 5: of all he's about half of his donors are from 1094 01:02:12,690 --> 01:02:18,190 Speaker 5: corporate packs big tech big AG Big health insurance. No 1095 01:02:18,230 --> 01:02:24,930 Speaker 5: wonder he's not for Medicare for all Big everything, you 1096 01:02:24,970 --> 01:02:28,880 Speaker 5: know big AG and Big Pharma. Oh, my God. So 1097 01:02:29,060 --> 01:02:31,100 Speaker 5: one of his main donors since he first ran for 1098 01:02:31,300 --> 01:02:35,180 Speaker 5: General Assembly in the state was Abbott Laboratories. And if 1099 01:02:35,220 --> 01:02:38,400 Speaker 5: you remember that scene from the Hulu show, that's the 1100 01:02:38,460 --> 01:02:42,360 Speaker 5: group of sales reps that Purdue first hired to go 1101 01:02:42,420 --> 01:02:45,260 Speaker 5: out into small towns, like towns all up and down 1102 01:02:45,280 --> 01:02:48,700 Speaker 5: the district, and sell the lie to doctors that OxyContin 1103 01:02:48,740 --> 01:02:52,700 Speaker 5: wasn't addictive. And so that's who funds his campaign. He 1104 01:02:52,740 --> 01:02:54,800 Speaker 5: just had a bunch of money come in from the 1105 01:02:54,880 --> 01:02:57,820 Speaker 5: crypto pack yesterday. So get ready to see some really 1106 01:02:57,900 --> 01:03:04,160 Speaker 5: ugly commercials about me next. So that's one huge difference. 1107 01:03:04,260 --> 01:03:06,680 Speaker 5: I'm not taking any corporate PAC money. I got an 1108 01:03:06,920 --> 01:03:10,100 Speaker 5: A on the public integrity scale. He got a D. 1109 01:03:11,780 --> 01:03:15,380 Speaker 5: And I want to repeal the one ugly bill. Hunger 1110 01:03:15,620 --> 01:03:18,470 Speaker 5: in my district is like I have never seen before. 1111 01:03:18,810 --> 01:03:21,750 Speaker 5: People are sleeping in their cars outside of food pantries. 1112 01:03:22,140 --> 01:03:24,620 Speaker 5: So they can be the first in line the morning 1113 01:03:24,760 --> 01:03:29,430 Speaker 5: when it opens. The number of people about to lose 1114 01:03:29,470 --> 01:03:32,470 Speaker 5: their health care and who have already lost their ACA 1115 01:03:32,530 --> 01:03:35,570 Speaker 5: subsidies from last year. We have a lot of farmers 1116 01:03:35,630 --> 01:03:42,060 Speaker 5: going without insurance now. It's one of the most dangerous professions. And, 1117 01:03:42,360 --> 01:03:47,100 Speaker 5: you know, the VA cuts, it's just devastating. So, so 1118 01:03:47,120 --> 01:03:49,590 Speaker 5: many differences between us. But the main thing is he 1119 01:03:49,640 --> 01:03:52,170 Speaker 5: has gone. He was pretty right wing when he started. 1120 01:03:52,210 --> 01:03:54,610 Speaker 5: But recently he got out of the Problem Solvers Caucus 1121 01:03:54,910 --> 01:03:57,630 Speaker 5: to join the Sharia Free Caucus. This dude. 1122 01:03:57,750 --> 01:04:02,170 Speaker 1: That's a caucus? No. That's a caucus. Sharia Free Caucus 1123 01:04:02,710 --> 01:04:05,070 Speaker 1: is what it's called? Yes. Yes. 1124 01:04:05,180 --> 01:04:07,300 Speaker 5: I might be missing a word, but Sharia Free is 1125 01:04:07,340 --> 01:04:11,780 Speaker 5: definitely in it. And he's so Christian Nationalist. He told 1126 01:04:11,880 --> 01:04:14,030 Speaker 5: his high school government teacher that he wanted to be 1127 01:04:14,070 --> 01:04:17,810 Speaker 5: in Congress one day so that he could overturn Roe v. Wade. And, 1128 01:04:17,830 --> 01:04:18,690 Speaker 5: you know, he kind of did. 1129 01:04:18,710 --> 01:04:19,630 Speaker 1: Yeah. 1130 01:04:19,910 --> 01:04:22,100 Speaker 5: So and what I want to say is I'm a 1131 01:04:22,160 --> 01:04:24,580 Speaker 5: mountain Democrat. You can get the hell out of my 1132 01:04:25,680 --> 01:04:28,790 Speaker 5: my bedroom, my bathroom. I get to love who I 1133 01:04:28,830 --> 01:04:30,610 Speaker 5: want to love. My kids get to be who they 1134 01:04:30,650 --> 01:04:33,890 Speaker 5: want to be. And I will never not stand up 1135 01:04:34,430 --> 01:04:36,790 Speaker 5: for women's rights. So that's a huge difference. He has 1136 01:04:36,850 --> 01:04:39,270 Speaker 5: voted against a ban on child marriage. 1137 01:04:39,330 --> 01:04:44,080 Speaker 1: The Sharia Free America Caucus. And it is a congressional 1138 01:04:44,120 --> 01:04:45,830 Speaker 1: caucus launched in December 2025. 1139 01:04:45,820 --> 01:04:50,320 Speaker 5: The last bill, one of the last bills he introduced, 1140 01:04:50,420 --> 01:04:55,880 Speaker 5: Ben Klein, was to ban trans women from joining the DAR. Yeah. 1141 01:04:56,930 --> 01:04:57,180 Speaker 2: Yeah. 1142 01:04:57,650 --> 01:04:59,990 Speaker 5: I thought it was a headline from the young. 1143 01:05:00,030 --> 01:05:00,180 Speaker 1: Yeah. 1144 01:05:00,720 --> 01:05:01,000 Speaker 2: Yeah. 1145 01:05:01,980 --> 01:05:06,060 Speaker 1: Yeah. That's not. So tell me what's next for you, 1146 01:05:06,600 --> 01:05:08,770 Speaker 1: what you have, you're less than a month away from 1147 01:05:08,790 --> 01:05:11,030 Speaker 1: the midterms. What, what are you doing now? 1148 01:05:11,490 --> 01:05:14,140 Speaker 5: So we are running up and down the district. You know, I, 1149 01:05:14,720 --> 01:05:16,840 Speaker 5: I'm pretty sure I have Roanoke because I've lived here 1150 01:05:16,880 --> 01:05:19,220 Speaker 5: for 40 years and everybody wanted me in the paper. 1151 01:05:19,380 --> 01:05:22,180 Speaker 5: And we've done a ton of events here. I'm getting 1152 01:05:22,220 --> 01:05:24,160 Speaker 5: to know the middle of the district and the upper 1153 01:05:24,200 --> 01:05:26,420 Speaker 5: part of the district. I mean, I have been. 1154 01:05:26,440 --> 01:05:28,660 Speaker 1: What's the middle of the district and the upper part? 1155 01:05:28,900 --> 01:05:31,660 Speaker 5: Well, the middle is Harrisonburg, which is JMU. So we're 1156 01:05:31,680 --> 01:05:34,770 Speaker 5: getting some, we're increasing our field team at JMU, which 1157 01:05:34,830 --> 01:05:38,550 Speaker 5: is a big state college, about 25,000 students. And the 1158 01:05:38,610 --> 01:05:42,690 Speaker 5: upper part is Winchester. And it is purpling because it's connected, 1159 01:05:42,930 --> 01:05:46,300 Speaker 5: you know, since COVID started. to people moving into Northern 1160 01:05:46,320 --> 01:05:50,980 Speaker 5: Virginia and Winchester from D.C. Because it's a little cheaper 1161 01:05:51,200 --> 01:05:54,340 Speaker 5: and a lot of that happened during COVID. Frederick County, 1162 01:05:54,400 --> 01:05:56,160 Speaker 5: which is up in the north part, it's a lot 1163 01:05:56,180 --> 01:06:00,980 Speaker 5: of federal workers, a lot of former military senior leaders. 1164 01:06:01,140 --> 01:06:05,240 Speaker 5: And by the way, the National Security Council, the National 1165 01:06:05,260 --> 01:06:07,930 Speaker 5: Security Leaders for America just endorsed me. That's the former 1166 01:06:07,930 --> 01:06:09,070 Speaker 5: 1,500 senior military leaders that. 1167 01:06:14,280 --> 01:06:17,940 Speaker 5: Sue Trump all the time and usually win in court. 1168 01:06:18,760 --> 01:06:21,640 Speaker 5: And they have endorsed me over a sitting congressman, which 1169 01:06:21,700 --> 01:06:25,380 Speaker 5: I find really interesting. And they're really worried. I mean, 1170 01:06:25,420 --> 01:06:30,230 Speaker 5: you'll see one of them is retired Major General Randy Manor. 1171 01:06:30,290 --> 01:06:33,470 Speaker 5: He goes out and he stumps with me. He gave 1172 01:06:33,510 --> 01:06:37,310 Speaker 5: me a special coin, a challenge coin that apparently I 1173 01:06:37,350 --> 01:06:39,770 Speaker 5: can take to any bar where there's a veteran and 1174 01:06:39,810 --> 01:06:42,750 Speaker 5: I can put it down. And if His rank outranks them. 1175 01:06:42,830 --> 01:06:44,270 Speaker 5: They have to buy me a beer, which I love. 1176 01:06:45,510 --> 01:06:49,430 Speaker 5: But he is going around saying, look, guys, it's early voting. 1177 01:06:49,530 --> 01:06:52,790 Speaker 5: You got to vote in person because we don't trust 1178 01:06:52,950 --> 01:06:56,940 Speaker 5: Trump not to send ICE or who, which he calls 1179 01:06:57,120 --> 01:07:00,800 Speaker 5: Hitler's brown shirts out to the polls to create havoc, 1180 01:07:01,040 --> 01:07:04,120 Speaker 5: creating some faux emergency. So, I mean, he's had a 1181 01:07:04,140 --> 01:07:06,120 Speaker 5: lot of guts to go on. 1182 01:07:06,720 --> 01:07:08,160 Speaker 1: And Virginia has early voting. 1183 01:07:08,750 --> 01:07:11,320 Speaker 5: Yes, we started about two weeks ago, and so far 1184 01:07:11,380 --> 01:07:14,600 Speaker 5: we're killing it. All the counties, I mean, Frederick County, 1185 01:07:14,640 --> 01:07:16,500 Speaker 5: which I was just talking about in the first week, 1186 01:07:17,160 --> 01:07:23,450 Speaker 5: voting was up 578%. which is largely thought to go 1187 01:07:23,510 --> 01:07:26,740 Speaker 5: the Democrat way. I just got put on a list 1188 01:07:26,820 --> 01:07:29,860 Speaker 5: by Tim Miller and the Bulwark last week, who thinks 1189 01:07:30,300 --> 01:07:35,540 Speaker 5: the seat is flippable. And, you know, he said, he 1190 01:07:35,580 --> 01:07:38,520 Speaker 5: pointed out that in the Shenandoah Valley, we have some 1191 01:07:38,880 --> 01:07:43,670 Speaker 5: college towns and in progressive pockets that are considered, you know, 1192 01:07:43,730 --> 01:07:46,330 Speaker 5: less red and that we've really got to hit them hard. 1193 01:07:46,370 --> 01:07:49,050 Speaker 5: But I'm not giving up on any votes. I'm still 1194 01:07:49,070 --> 01:07:52,180 Speaker 5: doing my town halls in small towns and meeting with 1195 01:07:52,220 --> 01:07:57,660 Speaker 5: farmers and veterans. And we've got a healthcare town hall 1196 01:07:57,720 --> 01:08:00,800 Speaker 5: coming up next week in Clifton Forge, which is where 1197 01:08:00,860 --> 01:08:04,740 Speaker 5: those small town scenes in Dopesick was shot, to talk 1198 01:08:04,780 --> 01:08:07,140 Speaker 5: about what's it going to look like when these Medicaid 1199 01:08:07,180 --> 01:08:09,920 Speaker 5: cuts come down. We've got a town hall on data 1200 01:08:09,940 --> 01:08:12,840 Speaker 5: centers coming up in Botetourt because Google is trying to 1201 01:08:12,860 --> 01:08:16,260 Speaker 5: put a triplex of data centers online. there, which is 1202 01:08:16,320 --> 01:08:19,900 Speaker 5: just north of me here and is a very Republican stronghold. 1203 01:08:19,939 --> 01:08:23,320 Speaker 5: But we've had some Republicans out door knocking for me 1204 01:08:23,460 --> 01:08:27,080 Speaker 5: in Baratak. So I'm pretty encouraged. I know it's still 1205 01:08:27,120 --> 01:08:30,680 Speaker 5: a heavy lift, but you know, a newspaper reporter, you 1206 01:08:30,700 --> 01:08:31,680 Speaker 5: can't outwork them. 1207 01:08:32,700 --> 01:08:36,089 Speaker 1: Beth Macy, thank you. Thank you. Thank you, Molly. 1208 01:08:38,050 --> 01:08:40,790 Speaker 2: And now your moment of fuckery. 1209 01:08:40,900 --> 01:08:41,690 Speaker 1: Rick Wilson. 1210 01:08:41,720 --> 01:08:42,599 Speaker 2: Hey, Molly. 1211 01:08:42,840 --> 01:08:44,599 Speaker 1: What is your moment of fuckery? 1212 01:08:44,740 --> 01:08:48,520 Speaker 2: My moment of fuckery is a big shout out to 1213 01:08:49,540 --> 01:08:53,190 Speaker 2: the Ukrainians for starting to hit Russian data centers with 1214 01:08:53,229 --> 01:08:56,689 Speaker 2: their bombs. Because in the last 48 hours, there's been 1215 01:08:56,710 --> 01:09:01,639 Speaker 2: a massive drop-off of Russian bot activity on social media platforms, 1216 01:09:01,680 --> 01:09:04,479 Speaker 2: Twitter and Facebook in particular, that was being run out 1217 01:09:04,520 --> 01:09:08,740 Speaker 2: of these Yandex data centers in Russia. So suddenly, MAGA mommy, 1218 01:09:08,840 --> 01:09:14,510 Speaker 2: patriot queen, Trump lover 4,000, she's gone. I miss her. 1219 01:09:14,689 --> 01:09:18,080 Speaker 2: I miss her so much. And all these guys who 1220 01:09:18,120 --> 01:09:23,170 Speaker 2: are like, father, Christian, patriot, veteran, Trump all the way, Texan. Oh, 1221 01:09:23,189 --> 01:09:27,250 Speaker 2: they're gone too. Weird how that happens. I mean, some 1222 01:09:27,270 --> 01:09:30,280 Speaker 2: of the statistical analysis that's happening now when we're recording 1223 01:09:30,300 --> 01:09:33,679 Speaker 2: this on Sunday morning is showing about a 50% drop 1224 01:09:33,720 --> 01:09:36,490 Speaker 2: off already. And the Ukrainians are after the rest of 1225 01:09:36,510 --> 01:09:38,770 Speaker 2: their data centers as we go. And here's the thing. 1226 01:09:39,270 --> 01:09:41,110 Speaker 2: Russia can't rebuild those data centers. 1227 01:09:41,450 --> 01:09:42,390 Speaker 1: Why not? 1228 01:09:42,750 --> 01:09:45,090 Speaker 2: Nobody is selling them the chips to rebuild those data centers. 1229 01:09:45,130 --> 01:09:49,870 Speaker 2: Those things are all backed up for OpenAI and Inetropic 1230 01:09:49,970 --> 01:09:53,390 Speaker 2: and Google and Microsoft and everybody else. So they're going 1231 01:09:53,410 --> 01:09:55,230 Speaker 2: to get to the back of the line. And the 1232 01:09:55,350 --> 01:09:58,480 Speaker 2: Russian bot armies that have shaped American politics for a 1233 01:09:58,660 --> 01:10:02,680 Speaker 2: decade are suddenly lying in in smoking ruins in the 1234 01:10:02,700 --> 01:10:04,750 Speaker 2: Russian countryside. And I fucking love it. 1235 01:10:04,950 --> 01:10:07,290 Speaker 1: What will happen to MAGA123? Trump girl forever. 1236 01:10:07,290 --> 01:10:07,390 Speaker 2: 42069. 1237 01:10:07,390 --> 01:10:08,340 Speaker 1: She's gone and I miss her. 1238 01:10:08,350 --> 01:10:08,790 Speaker 4: Rick Wilson. 1239 01:10:15,270 --> 01:10:19,670 Speaker 1: That's it for this episode of Fast Politics. Tune in 1240 01:10:20,030 --> 01:10:25,370 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 1241 01:10:25,450 --> 01:10:29,800 Speaker 1: minds in politics make sense of all this chaos. If 1242 01:10:29,820 --> 01:10:32,900 Speaker 1: you enjoy this podcast, please send it to a friend 1243 01:10:33,400 --> 01:10:36,540 Speaker 1: and keep the conversation going. Thanks for listening.