1 00:00:00,650 --> 00:00:04,590 Speaker 1: Hi, I'm Molly Jongfast, and this is Fast Politics, where 2 00:00:04,620 --> 00:00:07,520 Speaker 1: we discuss the top political headlines with some of today's 3 00:00:07,700 --> 00:00:12,080 Speaker 1: best minds. And Donald Trump has given Natalie Harp and 4 00:00:12,160 --> 00:00:17,070 Speaker 1: three other aides a cash gift of $ 45. We have 5 00:00:17,110 --> 00:00:19,889 Speaker 1: such a great show for you today. The Jim Acosta 6 00:00:19,930 --> 00:00:23,930 Speaker 1: Show's Jim Acosta stops by to talk about Trump's aides 7 00:00:24,090 --> 00:00:26,850 Speaker 1: giving up on trying to persuade him to be normal. 8 00:00:27,090 --> 00:00:30,560 Speaker 1: Then we'll talk to Representative Brendan Boyle about how the 9 00:00:30,700 --> 00:00:35,099 Speaker 1: Dems can fight back against an unpopular president. Plus, we 10 00:00:35,180 --> 00:00:42,210 Speaker 1: have a bonus. Very exciting. Congressional candidate and singer, Bobby 11 00:00:42,290 --> 00:00:47,050 Speaker 1: Polito about his tight race to flip a red district 12 00:00:47,729 --> 00:00:51,229 Speaker 1: in Texas's Rio Grande Valley. But first, the news. 13 00:00:51,430 --> 00:00:55,520 Speaker 2: Somali, New Hampshire had a primary last night. We now 14 00:00:55,600 --> 00:00:58,820 Speaker 2: have seen what seemed like the logical conclusions of what 15 00:00:58,860 --> 00:01:02,779 Speaker 2: was going to happen in this race has come through. 16 00:01:02,800 --> 00:01:04,920 Speaker 2: A lot of people were getting a little scared that 17 00:01:05,459 --> 00:01:07,400 Speaker 2: some dark horse candidates. 18 00:01:06,920 --> 00:01:07,959 Speaker 3: Were going to pull ahead. 19 00:01:08,120 --> 00:01:08,810 Speaker 1: In New Hampshire? 20 00:01:08,830 --> 00:01:08,910 Speaker 4: Yeah. 21 00:01:09,110 --> 00:01:12,210 Speaker 2: Yeah, there was some scare that the farther left candidate 22 00:01:12,250 --> 00:01:13,950 Speaker 2: was going to win the Senate seat for a while. 23 00:01:14,069 --> 00:01:15,370 Speaker 2: I mean, this has turned out to be a more 24 00:01:15,410 --> 00:01:18,290 Speaker 2: of a Francesca Hong situation, if you ask me. But 25 00:01:18,990 --> 00:01:20,450 Speaker 2: I didn't have much faith in this. 26 00:01:20,810 --> 00:01:24,550 Speaker 1: OK, so it's going to be John Sununu versus Chris Pappas. 27 00:01:24,890 --> 00:01:28,470 Speaker 1: We are like, what, a week from early voting, two 28 00:01:28,490 --> 00:01:31,590 Speaker 1: weeks from early voting. But we're done. with the fucking 29 00:01:31,650 --> 00:01:35,910 Speaker 1: primaries thank you ladies and gentlemen new hampshire ends with 30 00:01:35,950 --> 00:01:39,800 Speaker 1: a whimper by confirming everything we thought we would happen 31 00:01:39,940 --> 00:01:43,380 Speaker 1: look here's a problem with this race and we should 32 00:01:43,420 --> 00:01:46,340 Speaker 1: talk about it for a minute sununu is popular this 33 00:01:46,440 --> 00:01:50,380 Speaker 1: is a democratic seat if this flips This is not good. 34 00:01:50,660 --> 00:01:52,400 Speaker 1: So there are a lot of people who listen to 35 00:01:52,420 --> 00:01:55,930 Speaker 1: this podcast who care a lot about flipping the Senate. 36 00:01:56,390 --> 00:02:00,130 Speaker 1: And so I say to you, New Hampshire, not far away, 37 00:02:00,510 --> 00:02:04,550 Speaker 1: filled with persuadable voters. Drive up there, man. Go knock 38 00:02:04,640 --> 00:02:09,120 Speaker 1: on some doors. New Hampshire matters. It's a small state. 39 00:02:09,360 --> 00:02:12,700 Speaker 1: But more importantly, this is a seat Democrats, a Senate 40 00:02:12,720 --> 00:02:15,840 Speaker 1: seat Democrats really need to hold up. Chris Pappas is 41 00:02:15,880 --> 00:02:20,890 Speaker 1: a totally reasonable candidate, member of Congress, used to hold 42 00:02:20,910 --> 00:02:24,350 Speaker 1: a congressional seat, has been on this podcast before, will 43 00:02:24,430 --> 00:02:28,660 Speaker 1: vote the way that is needed in order to pass 44 00:02:28,700 --> 00:02:32,359 Speaker 1: the legislation that is needed. And so I say to you, 45 00:02:33,220 --> 00:02:37,220 Speaker 1: Real important that Democrats get out here and vote for 46 00:02:37,340 --> 00:02:42,910 Speaker 1: Chris Pappas and against John Sununu Jr. You know, this guy, 47 00:02:42,930 --> 00:02:45,630 Speaker 1: he's just going to vote like a Republican. He's just 48 00:02:45,669 --> 00:02:47,609 Speaker 1: going to be a Trumper. He's just going to rubber 49 00:02:47,630 --> 00:02:50,330 Speaker 1: stamp them. And this is a moment where you really 50 00:02:50,350 --> 00:02:52,769 Speaker 1: need to have a referendum on the incumbent, who is 51 00:02:52,790 --> 00:02:56,850 Speaker 1: a complete and utter lunatic, even loonier than he was 52 00:02:56,850 --> 00:03:00,010 Speaker 1: 10 years ago, if that's possible. All of us have 53 00:03:00,050 --> 00:03:04,709 Speaker 1: gotten much, much older. And for that, we say, please, 54 00:03:05,220 --> 00:03:06,740 Speaker 1: let's not lose this seat, people. 55 00:03:06,900 --> 00:03:08,660 Speaker 3: Well, you know who was a loser, though? 56 00:03:08,919 --> 00:03:14,140 Speaker 2: Former Senator Scott Brown, who terrorized the political coverage for 57 00:03:14,300 --> 00:03:17,440 Speaker 2: two whole years until Elizabeth Warren unseated him. 58 00:03:17,740 --> 00:03:20,250 Speaker 1: Yes, he can head to the casino now. 59 00:03:20,270 --> 00:03:23,510 Speaker 2: All right, Molly, let's talk about a bright subject, the 60 00:03:23,550 --> 00:03:27,450 Speaker 2: end of the world. So a bunch of by a bunch, 61 00:03:27,490 --> 00:03:31,760 Speaker 2: I mean, three anthropic engineers are blowing the whistle saying 62 00:03:31,980 --> 00:03:36,900 Speaker 2: that open AI and anthropic are not taking it seriously enough. 63 00:03:37,040 --> 00:03:39,280 Speaker 2: The threats, they say that we have a 10 percent 64 00:03:39,320 --> 00:03:43,250 Speaker 2: chance of ending. humanity with AI. I, for one, wish 65 00:03:43,380 --> 00:03:45,790 Speaker 2: that we had a thing we were talking about yesterday, 66 00:03:45,850 --> 00:03:50,010 Speaker 2: which is anyone who understood how to regulate tech. This 67 00:03:50,070 --> 00:03:53,030 Speaker 2: is one of my pet subjects. And I really think 68 00:03:53,090 --> 00:03:56,410 Speaker 2: if there's any subject we are not taking seriously enough 69 00:03:56,910 --> 00:03:59,770 Speaker 2: right now, climate change and this are just about right there. 70 00:04:00,070 --> 00:04:00,410 Speaker 5: Equally. 71 00:04:00,570 --> 00:04:03,720 Speaker 1: You know, it's funny, when I saw this yesterday, I 72 00:04:04,020 --> 00:04:07,260 Speaker 1: thought to myself, I'd been so worried about climate change, 73 00:04:07,300 --> 00:04:11,200 Speaker 1: I completely forgot about AI killing us all. Jacob is 74 00:04:11,260 --> 00:04:14,630 Speaker 1: correct here. We do honestly believe AI could kill all humans. 75 00:04:14,830 --> 00:04:19,589 Speaker 1: Explanation point. I personally think it is less than 10% 76 00:04:19,589 --> 00:04:23,160 Speaker 1: within the next decade. I believe Anthropic is trying its best, 77 00:04:23,339 --> 00:04:26,140 Speaker 1: but we do not have a plan to solve alignment 78 00:04:26,180 --> 00:04:31,100 Speaker 1: for superintelligence. Okay, guys. I mean, look, people building AI 79 00:04:31,220 --> 00:04:32,860 Speaker 1: earnestly believe it could kill us all. 80 00:04:33,160 --> 00:04:33,820 Speaker 4: Full stop. 81 00:04:34,040 --> 00:04:36,300 Speaker 1: Why are we building something that could kill us all? 82 00:04:36,500 --> 00:04:40,480 Speaker 1: Because the Chinese, we think, are going to build it 83 00:04:40,520 --> 00:04:43,900 Speaker 1: if we don't. This is so stupid. There is clearly 84 00:04:43,920 --> 00:04:46,680 Speaker 1: a way to figure this out, a way to talk 85 00:04:46,720 --> 00:04:49,750 Speaker 1: to the Chinese, a way to sanction the chips, a way... 86 00:04:50,140 --> 00:04:53,090 Speaker 1: to put some oversight here. You know, the idea that 87 00:04:53,150 --> 00:04:55,250 Speaker 1: everyone's like, it's too hard. We'll just give up and 88 00:04:55,290 --> 00:04:59,610 Speaker 1: maybe we'll all die. It's just like a totally insane 89 00:04:59,670 --> 00:05:01,969 Speaker 1: way to go through life. I don't know how we 90 00:05:01,990 --> 00:05:05,910 Speaker 1: got here. I don't know how this is like there's 91 00:05:05,990 --> 00:05:06,730 Speaker 1: no regulation. 92 00:05:06,770 --> 00:05:08,950 Speaker 2: I can tell you it's having a bunch of old 93 00:05:09,029 --> 00:05:11,270 Speaker 2: people and people who are tech averse and that we 94 00:05:11,290 --> 00:05:14,810 Speaker 2: don't appoint people who are experts. We've made committees like 95 00:05:14,830 --> 00:05:17,290 Speaker 2: this in the past when we've tried to understand things. 96 00:05:17,490 --> 00:05:19,969 Speaker 1: Yeah, but like the idea that we have to just 97 00:05:20,050 --> 00:05:23,330 Speaker 1: kill us all because if we don't, China will kill 98 00:05:23,390 --> 00:05:26,039 Speaker 1: us all. Like this is just as false, a false 99 00:05:26,100 --> 00:05:28,000 Speaker 1: binary as possible. That's all I'm saying. 100 00:05:28,580 --> 00:05:31,240 Speaker 2: So one of the things Trump is most known for 101 00:05:31,320 --> 00:05:35,940 Speaker 2: is lying. But occasionally these lies spread to people's sensitivities. 102 00:05:36,020 --> 00:05:39,320 Speaker 2: And 9-11, for good reason, is very sensitive. And when 103 00:05:39,339 --> 00:05:42,340 Speaker 2: he talks about getting pulled out of the rubble, when 104 00:05:42,400 --> 00:05:45,360 Speaker 2: we all know that was bullshit, It really stands out. 105 00:05:45,440 --> 00:05:47,860 Speaker 2: And I think of yesterday when there was a stupid 106 00:05:47,900 --> 00:05:51,900 Speaker 2: rally saying Zoran, who was nine during 9-11, somehow is 107 00:05:52,040 --> 00:05:56,539 Speaker 2: insulting for going to rallies there when Rudolf Giuliani decided 108 00:05:56,560 --> 00:06:01,260 Speaker 2: to poison everyone after, as well as mismanage the cleanup. 109 00:06:01,540 --> 00:06:04,420 Speaker 2: It really strikes me that it's amazing what some people 110 00:06:04,460 --> 00:06:06,750 Speaker 2: get away with with one color of skin and some 111 00:06:06,760 --> 00:06:08,320 Speaker 2: people don't with another color of skin. 112 00:06:08,880 --> 00:06:14,950 Speaker 1: So Trump basically said this whole thing that is not true. 113 00:06:15,089 --> 00:06:17,810 Speaker 1: It's demonstrably not true. We know it's not true. The 114 00:06:18,270 --> 00:06:21,900 Speaker 1: president is spiraling over a new cycle he created, which, again, 115 00:06:22,000 --> 00:06:24,320 Speaker 1: like this is the whole idea that Trump keeps creating 116 00:06:24,500 --> 00:06:29,070 Speaker 1: problems and then freaking out about problems he created. So basically, 117 00:06:29,089 --> 00:06:33,849 Speaker 1: New York Magazine questioned this story about him, which is 118 00:06:33,890 --> 00:06:37,190 Speaker 1: that he said that he was with a group of 119 00:06:37,390 --> 00:06:42,320 Speaker 1: construction workers on 9-11. And Trump goes to Truth Social 120 00:06:42,520 --> 00:06:45,060 Speaker 1: and says the failing New York Magazine. murder story that 121 00:06:45,120 --> 00:06:47,140 Speaker 1: I wasn't down at the World Trade Center after the 122 00:06:47,180 --> 00:06:50,220 Speaker 1: tragedy of September 11th because nobody saw me there. Well, 123 00:06:50,240 --> 00:06:52,000 Speaker 1: I don't think I would be the first thing on 124 00:06:52,040 --> 00:06:55,510 Speaker 1: anyone's mind, but I was there, obviously. I mean, this 125 00:06:55,570 --> 00:06:57,810 Speaker 1: will be the first time he ever was there, or 126 00:06:57,990 --> 00:07:00,530 Speaker 1: if this is true, which it's not. Obviously not on 127 00:07:00,570 --> 00:07:03,610 Speaker 1: the same day as the collapse. Okay, so you see 128 00:07:03,650 --> 00:07:06,450 Speaker 1: what's happening here. But shortly thereafter, with a large group 129 00:07:06,510 --> 00:07:09,560 Speaker 1: of construction workers... I don't know. I mean, this is 130 00:07:09,660 --> 00:07:12,060 Speaker 1: like just so dumb. And this is because in a 131 00:07:12,120 --> 00:07:15,660 Speaker 1: speech on the Ellipse in Washington, he claimed that he 132 00:07:15,720 --> 00:07:18,650 Speaker 1: was in a big building during the attacks and he 133 00:07:18,690 --> 00:07:22,110 Speaker 1: took a construction crew to ground zero right after it happened. 134 00:07:22,130 --> 00:07:25,910 Speaker 1: Then he was again like this. He just making shit up. 135 00:07:26,310 --> 00:07:27,370 Speaker 3: Never see him do this. 136 00:07:27,450 --> 00:07:29,430 Speaker 1: Never, ever. Certainly never. 137 00:07:29,560 --> 00:07:33,340 Speaker 2: So Frederick Maryland is the latest to experience what it's 138 00:07:33,420 --> 00:07:37,460 Speaker 2: like when Stephen Miller's thugs ice come and you'll be 139 00:07:37,500 --> 00:07:41,100 Speaker 2: shocked to hear their wallowsly beating up protesters and doing 140 00:07:41,140 --> 00:07:42,340 Speaker 2: their usual fuckery. 141 00:07:42,640 --> 00:07:47,760 Speaker 1: So they went to Frederick, Maryland, who knows why. And 142 00:07:48,350 --> 00:07:50,590 Speaker 1: every place where they go, when they go like this, 143 00:07:50,670 --> 00:07:56,170 Speaker 1: what happens is that people get really good at protesting. 144 00:07:56,310 --> 00:08:01,400 Speaker 1: They get good at being able to warn each other. 145 00:08:01,580 --> 00:08:08,170 Speaker 1: So basically, agents swarmed multiple streets. They were trying to 146 00:08:08,690 --> 00:08:12,930 Speaker 1: catch people with traffic stops. Protesters showed up, and when 147 00:08:12,970 --> 00:08:15,190 Speaker 1: they were hearing that ICE was staying at a house, 148 00:08:15,940 --> 00:08:18,780 Speaker 1: There are two things that are so stupid about this. 149 00:08:19,180 --> 00:08:21,860 Speaker 1: One is they're chasing down people who, you know, the 150 00:08:21,900 --> 00:08:24,040 Speaker 1: whole idea was they were going to chase down criminals. 151 00:08:24,060 --> 00:08:26,559 Speaker 1: Most of these people are just like people going to work. 152 00:08:26,880 --> 00:08:30,740 Speaker 1: And then the other thing that's so dysfunctional about it 153 00:08:30,760 --> 00:08:33,910 Speaker 1: is it's all this money being spent to, I mean, 154 00:08:33,970 --> 00:08:38,090 Speaker 1: to just terrorize people for seemingly no reason. And then 155 00:08:38,110 --> 00:08:41,270 Speaker 1: the pushback is, you know, in some ways, Trump world 156 00:08:41,450 --> 00:08:45,510 Speaker 1: wants the pushback. because then they can say there's radical 157 00:08:45,710 --> 00:08:50,630 Speaker 1: jihadists who are protesting them. You know, the Antifa, you know, 158 00:08:50,790 --> 00:08:53,660 Speaker 1: it's nonsensical. This is all Stephen Miller stuff. This is 159 00:08:53,800 --> 00:08:58,380 Speaker 1: nobody wants this. We had Bobby Polito on the podcast today, 160 00:08:58,440 --> 00:09:01,860 Speaker 1: and Bobby talks about how even though he has a 161 00:09:02,100 --> 00:09:05,940 Speaker 1: district that's an R plus 19, where they're very pro 162 00:09:06,080 --> 00:09:10,120 Speaker 1: immigration enforcement, they are so turned off by this. That's 163 00:09:10,210 --> 00:09:16,020 Speaker 1: not what they meant. Jim Acosta is the author of 164 00:09:16,059 --> 00:09:19,630 Speaker 1: The Substack, The Jim Acosta Show, and the New York 165 00:09:19,670 --> 00:09:23,430 Speaker 1: Times bestseller, The Enemy of the People, A Dangerous Time 166 00:09:23,490 --> 00:09:26,630 Speaker 1: to Tell the Truth in America. Jim Acosta. 167 00:09:26,950 --> 00:09:29,030 Speaker 3: Hi, Molly. Hello, hello. 168 00:09:29,290 --> 00:09:32,730 Speaker 1: Trump is alone. He's 80 years old. He's the most 169 00:09:32,870 --> 00:09:38,059 Speaker 1: powerful president we've ever had. And he's also perhaps the 170 00:09:38,240 --> 00:09:42,550 Speaker 1: least powerful. He's probably the least with it he's ever been. 171 00:09:42,750 --> 00:09:46,160 Speaker 6: Yeah, I mean, there's a lot that could be said 172 00:09:46,280 --> 00:09:49,040 Speaker 6: in that sentence, in that category. 173 00:09:49,059 --> 00:09:50,960 Speaker 3: He's the nuttiest. He's the craziest. 174 00:09:51,020 --> 00:09:52,180 Speaker 1: He's the wackiest. 175 00:09:52,260 --> 00:09:56,309 Speaker 3: He's the wackiest. He's the lyingest. I don't know. The 176 00:09:56,350 --> 00:09:57,990 Speaker 3: most dishonest. There's a lot. Yeah. 177 00:09:58,309 --> 00:10:00,520 Speaker 1: It's interesting, though. Like, we went through two years of 178 00:10:00,559 --> 00:10:06,260 Speaker 1: like sheer carnage, like, you know, wars, tariffs. But really, 179 00:10:06,280 --> 00:10:11,240 Speaker 1: his go to spot is like gluing gold fixtures on 180 00:10:11,280 --> 00:10:13,860 Speaker 1: the wall in the Oval Office. 181 00:10:14,660 --> 00:10:19,320 Speaker 6: Yeah, this Axios story where they say, gosh, advisors, people 182 00:10:19,340 --> 00:10:21,240 Speaker 6: around him say they just can't get through to him. 183 00:10:21,300 --> 00:10:23,300 Speaker 3: He's just on his own now. I'm like, wait a minute. 184 00:10:23,860 --> 00:10:26,270 Speaker 3: What year is this? Is it 2017? Is it 2018? 185 00:10:26,270 --> 00:10:31,109 Speaker 6: Is it 2020 during COVID? What year is this? I mean, 186 00:10:31,570 --> 00:10:33,530 Speaker 6: it is sort of a tale as old as time. 187 00:10:34,330 --> 00:10:36,530 Speaker 6: And it sort of reminds me of those Corey Lewandowski, 188 00:10:36,590 --> 00:10:40,079 Speaker 6: let Trump be Trump days. But this is, I mean, 189 00:10:40,460 --> 00:10:43,120 Speaker 6: it does not surprise me that this story is being 190 00:10:43,179 --> 00:10:46,360 Speaker 6: written now. I mean, I guess this is the most 191 00:10:46,480 --> 00:10:50,000 Speaker 6: alone he is maybe in his own mind. The memes 192 00:10:50,120 --> 00:10:52,410 Speaker 6: and the tweets and the posts that he was putting 193 00:10:52,450 --> 00:10:54,730 Speaker 6: out on True Social over the weekend, that was really 194 00:10:54,809 --> 00:10:58,330 Speaker 6: a trip. That was really a descent into the seventh 195 00:10:58,350 --> 00:11:03,870 Speaker 6: level of Dante's Inferno. And this is what happens, though, 196 00:11:04,630 --> 00:11:08,170 Speaker 6: when he campaigns on revenge and retribution, when he campaigns 197 00:11:08,490 --> 00:11:09,890 Speaker 6: on no guardrails. 198 00:11:10,420 --> 00:11:11,540 Speaker 3: And then this is what we have. 199 00:11:11,600 --> 00:11:14,020 Speaker 6: And then he surrounds himself with people like Natalie Harp, 200 00:11:14,059 --> 00:11:17,440 Speaker 6: who just, you know, feed his timeline with just more 201 00:11:17,580 --> 00:11:20,830 Speaker 6: bullshit and puffery. And so, of course, this is where 202 00:11:20,850 --> 00:11:23,150 Speaker 6: we're going to end up. And Mike, you know, I 203 00:11:23,550 --> 00:11:25,230 Speaker 6: would love to know what he's going to be like 204 00:11:25,290 --> 00:11:28,530 Speaker 6: psychologically on the other side of this week after he 205 00:11:28,590 --> 00:11:31,250 Speaker 6: has this Trumpapalooza that's going to go over like a 206 00:11:31,290 --> 00:11:32,740 Speaker 6: Led Zeppelin down in Dallas. 207 00:11:32,880 --> 00:11:33,460 Speaker 3: It's going to go up. 208 00:11:33,760 --> 00:11:37,740 Speaker 6: He cares nothing. He doesn't care about anything more. than ratings, 209 00:11:37,820 --> 00:11:40,300 Speaker 6: TV ratings. The ratings are going to be abysmal because 210 00:11:40,340 --> 00:11:44,459 Speaker 6: he's scheduled this damn thing while the NFL is kicking off. 211 00:11:44,880 --> 00:11:47,620 Speaker 6: The season is kicking off and like Australians and things 212 00:11:47,660 --> 00:11:50,829 Speaker 6: like that. And he's going to be doing this crazy 213 00:11:50,870 --> 00:11:52,430 Speaker 6: shit in Dallas. None of it makes any sense. 214 00:11:53,110 --> 00:11:56,630 Speaker 1: So the bubble, we talk a lot about information bubbles, 215 00:11:56,740 --> 00:12:02,719 Speaker 1: news bubbles. You can watch one network, read one set 216 00:12:02,760 --> 00:12:06,260 Speaker 1: of newspapers, believe a totally different thing than your neighbor 217 00:12:06,400 --> 00:12:09,900 Speaker 1: who gets all their news on Facebook. believe a totally 218 00:12:09,920 --> 00:12:12,280 Speaker 1: different thing than your other neighbor who gets all their 219 00:12:12,320 --> 00:12:15,740 Speaker 1: news on TikTok. But Donald Trump has a very curated 220 00:12:15,860 --> 00:12:21,210 Speaker 1: news environment, curated by Natalie Harp, his bubbleologist, to make 221 00:12:21,330 --> 00:12:26,130 Speaker 1: sure that— and so you see that sometimes with the tweets, right? Like, 222 00:12:26,190 --> 00:12:29,090 Speaker 1: I've seen the real polls. I've seen the real stories. 223 00:12:30,350 --> 00:12:34,670 Speaker 1: So if you have an Earth-1, Earth-2 situation, what happens 224 00:12:35,070 --> 00:12:37,030 Speaker 1: when Earth-1 crashes into Earth-2? 225 00:12:38,130 --> 00:12:40,170 Speaker 6: You get Earth 3. I think that's where we are now. 226 00:12:40,730 --> 00:12:42,500 Speaker 6: We have now arrived on Earth. 227 00:12:42,280 --> 00:12:45,020 Speaker 3: 3, ladies and gentlemen. No more Earth 2. 228 00:12:45,020 --> 00:12:47,840 Speaker 6: Earth 2 was like the dishonest Earth where he just 229 00:12:47,900 --> 00:12:50,420 Speaker 6: lies all the time and lies are truth and truth 230 00:12:50,460 --> 00:12:54,230 Speaker 6: are lies. Now we're in crazy town Earth 3 where 231 00:12:54,450 --> 00:12:56,930 Speaker 6: he thinks it's normal. He thinks it's reality. But to 232 00:12:56,970 --> 00:12:59,570 Speaker 6: the rest of us, it's just one flew over the 233 00:12:59,610 --> 00:13:02,949 Speaker 6: cuckoo's nest. And Natalie Harp is the bubble keeper. There's 234 00:13:02,970 --> 00:13:06,310 Speaker 6: no question about it. She puts the pan of food of, 235 00:13:06,929 --> 00:13:09,870 Speaker 6: you know, easily digestible positive stories about him through the 236 00:13:09,950 --> 00:13:13,770 Speaker 6: slot in the door every day. And he consumes it 237 00:13:14,010 --> 00:13:17,170 Speaker 6: and he gets crazier and crazier. I mean, you know, 238 00:13:17,190 --> 00:13:20,670 Speaker 6: the memes that were being unleashed over the weekend about Iran, 239 00:13:20,710 --> 00:13:23,090 Speaker 6: for example, where he's like the commander of a ship, 240 00:13:23,410 --> 00:13:25,390 Speaker 6: where things are being blown up, where there are nuclear 241 00:13:25,450 --> 00:13:28,750 Speaker 6: bombs going off. I mean, to me, you know, I 242 00:13:29,429 --> 00:13:31,250 Speaker 6: don't know what's more disturbing, the fact that he is 243 00:13:31,390 --> 00:13:33,750 Speaker 6: doing all of that openly or the fact that there 244 00:13:33,790 --> 00:13:35,770 Speaker 6: really isn't much of a national discussion about it. 245 00:13:36,260 --> 00:13:37,780 Speaker 3: I mean, this is not this. 246 00:13:37,679 --> 00:13:39,880 Speaker 6: Is not leading the evening newscast. It's not on the 247 00:13:39,920 --> 00:13:41,420 Speaker 6: front page of the newspapers. 248 00:13:41,860 --> 00:13:42,520 Speaker 3: It's not. 249 00:13:42,850 --> 00:13:44,610 Speaker 6: Maybe we just wake up one day and he's just 250 00:13:44,730 --> 00:13:46,970 Speaker 6: blown everything to bits. And we're like, so maybe we 251 00:13:46,990 --> 00:13:49,030 Speaker 6: should have covered this, you know, before this happened. 252 00:13:49,450 --> 00:13:51,650 Speaker 1: So it's happening tonight. And here are some of the 253 00:13:51,710 --> 00:13:54,030 Speaker 1: things he's going to speak at both nights. 254 00:13:55,210 --> 00:13:55,870 Speaker 3: What could go wrong? 255 00:13:56,290 --> 00:13:59,989 Speaker 1: What could go wrong? Lately, his speeches have been like 256 00:14:00,030 --> 00:14:05,400 Speaker 1: that primetime address, completely net-level bad shittery disgust. 257 00:14:05,640 --> 00:14:08,740 Speaker 6: Yeah, and I guess they'll show him the ratings, and 258 00:14:08,760 --> 00:14:11,760 Speaker 6: the ratings will be spectacular, even though everybody's watching football 259 00:14:11,880 --> 00:14:15,190 Speaker 6: and nobody cares. I mean, I think that What is 260 00:14:15,309 --> 00:14:19,550 Speaker 6: really telling about this Trumpapalooza convention is that, you know, 261 00:14:19,610 --> 00:14:22,750 Speaker 6: Susan Collins is so concerned about her reelection that she's 262 00:14:22,790 --> 00:14:24,780 Speaker 6: not showing up. There are lots of Republicans who are 263 00:14:24,820 --> 00:14:28,260 Speaker 6: not showing up and they're staying away from him like 264 00:14:28,320 --> 00:14:29,560 Speaker 6: it's one of RFK Jr. 265 00:14:29,560 --> 00:14:32,520 Speaker 3: 's, you know, measles superfund sites. 266 00:14:32,580 --> 00:14:34,260 Speaker 6: You know what I mean? I mean, they're just they're 267 00:14:34,300 --> 00:14:38,860 Speaker 6: avoiding him. And because he's become toxic, oil has hit 268 00:14:38,880 --> 00:14:41,540 Speaker 6: one hundred dollars a barrel. Gas is the highest it's 269 00:14:41,590 --> 00:14:43,430 Speaker 6: been in a very long time. Diesel, I think, is 270 00:14:43,470 --> 00:14:46,609 Speaker 6: the highest it's ever been. And what is there to 271 00:14:46,690 --> 00:14:49,350 Speaker 6: brag about? That you started a war that you haven't 272 00:14:49,370 --> 00:14:52,090 Speaker 6: been able to stop, that you've blown a hole in 273 00:14:52,130 --> 00:14:54,010 Speaker 6: the economy with this affordability crisis. 274 00:14:54,210 --> 00:14:55,830 Speaker 3: Add to that an energy crisis. 275 00:14:56,790 --> 00:14:59,760 Speaker 6: There's really nothing to campaign on, but he has them trapped. 276 00:15:00,700 --> 00:15:03,840 Speaker 6: He's sort of like Captain Hook, and the rest of 277 00:15:03,880 --> 00:15:07,300 Speaker 6: them are sort of Peter Pan and the kids on 278 00:15:07,980 --> 00:15:10,040 Speaker 6: the edge of the plank. They've walked the plank with him, 279 00:15:10,620 --> 00:15:13,120 Speaker 6: and there's nowhere else to go. And I think that 280 00:15:13,960 --> 00:15:17,440 Speaker 6: This is shaping up, I think, just about how a 281 00:15:17,500 --> 00:15:22,060 Speaker 6: lot of Republican strategists would concede to you privately that 282 00:15:22,210 --> 00:15:24,710 Speaker 6: they really had no choice but to go Thelma and 283 00:15:24,730 --> 00:15:27,050 Speaker 6: Louise with this guy. And now they're at the Thelma 284 00:15:27,090 --> 00:15:27,850 Speaker 6: and Louise moment. 285 00:15:28,250 --> 00:15:31,330 Speaker 1: So that's where we go with this. Making ads, featuring 286 00:15:31,350 --> 00:15:34,010 Speaker 1: yourself on your popularity. Is it an all-time low? 287 00:15:34,030 --> 00:15:34,790 Speaker 7: Yeah. 288 00:15:35,630 --> 00:15:36,390 Speaker 3: Well, that too. 289 00:15:36,990 --> 00:15:38,670 Speaker 6: And keep in mind, the other thing that is really 290 00:15:38,730 --> 00:15:42,310 Speaker 6: disturbing about this In all seriousness, I mean, you have 291 00:15:42,350 --> 00:15:45,470 Speaker 6: the attorney general of the United States, Todd Blanch, who 292 00:15:45,550 --> 00:15:49,640 Speaker 6: is basically the Epstein fixer as one of the as 293 00:15:49,740 --> 00:15:53,600 Speaker 6: one of the speakers at this ridiculous convention. And that 294 00:15:53,680 --> 00:15:57,040 Speaker 6: is so outside the norm and so outside of anything 295 00:15:57,060 --> 00:16:01,489 Speaker 6: that is approaching, you know, reasonable behavior on the part 296 00:16:01,530 --> 00:16:06,510 Speaker 6: of a presidential administration that I'm sort of interested in 297 00:16:06,570 --> 00:16:09,970 Speaker 6: what he's going to say publicly, you know, at this convention. 298 00:16:10,840 --> 00:16:12,479 Speaker 6: But they're all going to have to do the deer 299 00:16:12,540 --> 00:16:15,320 Speaker 6: leader thing. I mean, they're all trapped in the, you know, 300 00:16:15,360 --> 00:16:17,500 Speaker 6: this is going to be like the deer leader discussion 301 00:16:17,540 --> 00:16:21,290 Speaker 6: around the cabinet room, except in front of a captive audience. 302 00:16:21,330 --> 00:16:23,570 Speaker 3: And by captive, I mean really captive. 303 00:16:24,470 --> 00:16:27,750 Speaker 6: That is, you know, that applies only to the seats 304 00:16:27,790 --> 00:16:30,250 Speaker 6: that they can fill in this massive arena. This is 305 00:16:30,290 --> 00:16:32,130 Speaker 6: the arena, I think, that the Mavericks play in and 306 00:16:32,170 --> 00:16:34,880 Speaker 6: so on down in Dallas. And, you know, they're not 307 00:16:34,900 --> 00:16:36,600 Speaker 6: going to be able to fill that arena. So watch 308 00:16:36,620 --> 00:16:38,100 Speaker 6: for the crowd shots, you know. 309 00:16:38,380 --> 00:16:39,440 Speaker 1: Yes, they're very tight. 310 00:16:40,020 --> 00:16:42,260 Speaker 6: Any journalist that puts out a tweet about the crowd, 311 00:16:42,730 --> 00:16:46,210 Speaker 6: he's going to go after. And this is all about, 312 00:16:46,510 --> 00:16:48,810 Speaker 6: you know, how this is sort of like, how can 313 00:16:48,850 --> 00:16:51,250 Speaker 6: they keep him on the rails, somewhat on the rails 314 00:16:51,290 --> 00:16:53,180 Speaker 6: through the rest of this week? Because this thing is 315 00:16:53,220 --> 00:16:55,200 Speaker 6: shaping up to be a complete debacle. 316 00:16:55,900 --> 00:16:59,060 Speaker 1: So what do you think, and then Maggie Haberman said this, 317 00:16:59,140 --> 00:17:02,170 Speaker 1: a lot of people have said this, she wrote a 318 00:17:02,230 --> 00:17:05,550 Speaker 1: piece about this today in the Times, that there's not, 319 00:17:06,810 --> 00:17:11,090 Speaker 1: that he's mostly just focused on like building monuments to himself, 320 00:17:11,109 --> 00:17:15,020 Speaker 1: the ballroom, the reflecting pool, which turned out to be 321 00:17:15,040 --> 00:17:18,700 Speaker 1: a disaster, the Kennedy Center, the golf course, the helipad, 322 00:17:18,740 --> 00:17:28,429 Speaker 1: the bowling alley, just everything. continual kind of remake of Washington, D.C. 323 00:17:29,070 --> 00:17:33,070 Speaker 1: It strikes me that it shows just how out of 324 00:17:33,109 --> 00:17:33,629 Speaker 1: touch he is. 325 00:17:33,970 --> 00:17:34,270 Speaker 3: Yeah. 326 00:17:34,330 --> 00:17:37,050 Speaker 6: I mean, this is not Caesar's Rome. This is Caesar's Palace. 327 00:17:37,150 --> 00:17:42,530 Speaker 6: This is, you know, the really affordable rooms at Caesar's 328 00:17:42,570 --> 00:17:46,910 Speaker 6: Palace kind of situation. And I mean, it's an embarrassment. 329 00:17:47,010 --> 00:17:49,230 Speaker 6: I mean, whenever I leave D.C. and I go to 330 00:17:49,270 --> 00:17:52,129 Speaker 6: New York or I go, you know, anywhere, you know, 331 00:17:53,190 --> 00:17:56,590 Speaker 6: outside of the nation's capital, I'm struck by how normal 332 00:17:56,650 --> 00:18:02,010 Speaker 6: it is and how it's not a complete like shit show. 333 00:18:02,890 --> 00:18:06,649 Speaker 6: And the nation's capital has been transformed, make no mistake, 334 00:18:06,730 --> 00:18:09,580 Speaker 6: by Donald Trump and these ridiculous projects. 335 00:18:10,100 --> 00:18:11,680 Speaker 3: The, you know, the. 336 00:18:11,640 --> 00:18:14,879 Speaker 6: Kennedy Center, people may not realize this, that that stupid 337 00:18:14,920 --> 00:18:17,360 Speaker 6: tarp is still up on the Kennedy Center. He's still 338 00:18:17,400 --> 00:18:19,899 Speaker 6: threatening to demolish the Kennedy Center. The other day they 339 00:18:19,940 --> 00:18:23,010 Speaker 6: were tweeting out pictures of, the ceiling caving in at 340 00:18:23,030 --> 00:18:25,590 Speaker 6: the Kennedy Center and they're saying, see, this is why 341 00:18:25,630 --> 00:18:28,210 Speaker 6: we should demolish the Kennedy Center. Can you imagine a 342 00:18:28,270 --> 00:18:32,970 Speaker 6: world in which he is allowed to demolish the Kennedy Center? 343 00:18:33,470 --> 00:18:38,080 Speaker 6: That to me is by definition, A 25th Amendment moment. 344 00:18:38,180 --> 00:18:41,399 Speaker 6: If the Kennedy Center is if one bulldozer touches the 345 00:18:41,440 --> 00:18:45,240 Speaker 6: Kennedy Center, that is a 25th Amendment moment. The reflecting pool, 346 00:18:45,590 --> 00:18:48,129 Speaker 6: the gold stuff around the White House. You know, he's 347 00:18:48,390 --> 00:18:51,850 Speaker 6: obsessed with this helipad and putting in granite flooring and 348 00:18:52,210 --> 00:18:55,790 Speaker 6: his rose garden that's been paved over. These are all 349 00:18:55,910 --> 00:19:01,440 Speaker 6: signs and symptoms of a president not in decline, but 350 00:19:01,520 --> 00:19:06,050 Speaker 6: a president in serious need of psychiatric treatment. And this 351 00:19:06,130 --> 00:19:09,770 Speaker 6: is not, and people would say, well, allegedly, or, you know, 352 00:19:09,830 --> 00:19:13,170 Speaker 6: that's your opinion, or I don't know what other conclusion 353 00:19:13,190 --> 00:19:16,170 Speaker 6: we're supposed to draw. And we can saying wash and say, he's, 354 00:19:16,600 --> 00:19:19,660 Speaker 6: he's fixated on these projects. And I haven't, I don't 355 00:19:19,720 --> 00:19:22,780 Speaker 6: call them vanity projects anymore. I call them insanity projects. 356 00:19:23,520 --> 00:19:26,140 Speaker 1: Insanity projects. You got a lot of good lines in here, 357 00:19:26,200 --> 00:19:27,120 Speaker 1: Jim Acosta. 358 00:19:27,260 --> 00:19:28,929 Speaker 3: I saved them up for you. 359 00:19:29,270 --> 00:19:32,619 Speaker 1: Yeah, really insanity. I plan to steal all of this. 360 00:19:33,400 --> 00:19:36,740 Speaker 1: What would Donald Trump need to do in order to 361 00:19:36,880 --> 00:19:40,840 Speaker 1: like I've heard speeches by him recently where I've thought, well, 362 00:19:40,900 --> 00:19:44,870 Speaker 1: this is all very crazy and seems like some like 363 00:19:44,930 --> 00:19:49,990 Speaker 1: imagine Joe Biden said it. Imagine, you know, Obama said it. 364 00:19:50,109 --> 00:19:53,770 Speaker 1: Imagine Bill Clinton said even imagine George W. Bush said it. 365 00:19:53,800 --> 00:19:58,060 Speaker 1: You'd be like, whoa. So would Trump have to do 366 00:19:58,180 --> 00:20:02,000 Speaker 1: something like what is the like? What could he do 367 00:20:03,040 --> 00:20:09,090 Speaker 1: that would actually get the needed people willing to? to 368 00:20:09,210 --> 00:20:10,250 Speaker 1: do something. 369 00:20:10,490 --> 00:20:12,990 Speaker 6: The only thing that I can think of that he 370 00:20:13,530 --> 00:20:16,770 Speaker 6: could possibly do, but it would obviously be bullshit and 371 00:20:16,790 --> 00:20:20,420 Speaker 6: it would be undone by current events, perhaps as soon 372 00:20:20,440 --> 00:20:22,600 Speaker 6: as the next day, is if he were to go 373 00:20:22,680 --> 00:20:24,720 Speaker 6: out there and declare that the war with Iran is over. 374 00:20:24,740 --> 00:20:27,760 Speaker 6: I mean, to me, that would be the one rabbit 375 00:20:27,780 --> 00:20:29,800 Speaker 6: you could pull out of your hat. But that only 376 00:20:29,900 --> 00:20:33,740 Speaker 6: works with a compliant national news media that will report 377 00:20:33,780 --> 00:20:37,679 Speaker 6: that as reality. And, you know, these days you have 378 00:20:37,700 --> 00:20:40,899 Speaker 6: to couch everything. He's declared this thing near finished or 379 00:20:40,960 --> 00:20:44,200 Speaker 6: almost to the finish line. Yeah, like a hundred thousand times. 380 00:20:44,220 --> 00:20:45,700 Speaker 1: I don't think he can do that. 381 00:20:45,760 --> 00:20:46,640 Speaker 3: You know, I don't know. 382 00:20:46,660 --> 00:20:49,320 Speaker 6: Does he, you know, does he say we're opening up 383 00:20:49,359 --> 00:20:51,480 Speaker 6: the Strategic Petroleum Reserve and we're going to drain it 384 00:20:51,500 --> 00:20:51,810 Speaker 6: all the way? 385 00:20:51,880 --> 00:20:53,570 Speaker 3: I mean, that would generate bad headlines. 386 00:20:53,609 --> 00:20:56,450 Speaker 6: That would send the stock market spiraling. I think he 387 00:20:56,510 --> 00:20:59,609 Speaker 6: has he has played pretty much every card in the 388 00:20:59,690 --> 00:21:02,369 Speaker 6: deck at this point. And that is why he is 389 00:21:02,410 --> 00:21:05,150 Speaker 6: now resorting to made up stories about. 390 00:21:04,950 --> 00:21:05,949 Speaker 3: 9-11 and A.I. 391 00:21:06,710 --> 00:21:10,250 Speaker 6: Slop on his true social account. He's he's his his 392 00:21:10,369 --> 00:21:11,830 Speaker 6: back is against the wall. 393 00:21:12,090 --> 00:21:14,210 Speaker 3: You know, what was the old Dan Ratherism? His shirt 394 00:21:14,230 --> 00:21:15,170 Speaker 3: tails on fire. 395 00:21:15,230 --> 00:21:17,660 Speaker 6: You know, he's in that he's kind of in that 396 00:21:18,020 --> 00:21:20,140 Speaker 6: sort of a jam right now. And we're at, what, 397 00:21:20,140 --> 00:21:24,100 Speaker 6: 55 days until the midterms were. I was looking at 398 00:21:24,140 --> 00:21:28,379 Speaker 6: this early voting, I believe, in Minnesota starts 46 days 399 00:21:28,720 --> 00:21:30,260 Speaker 6: prior to November 3rd. 400 00:21:30,869 --> 00:21:32,550 Speaker 1: Yeah, there's a lot of voting starting soon. 401 00:21:32,570 --> 00:21:34,990 Speaker 6: There's a lot of voting starting soon. And a lot 402 00:21:35,030 --> 00:21:37,649 Speaker 6: of people, I think, you know, thank God for like 403 00:21:37,670 --> 00:21:39,030 Speaker 6: the No Kings people. A lot of people are going 404 00:21:39,050 --> 00:21:41,290 Speaker 6: to start doing their early voting as soon as possible 405 00:21:41,410 --> 00:21:44,590 Speaker 6: because people are getting, they're determined. 406 00:21:44,130 --> 00:21:44,650 Speaker 3: To do this. 407 00:21:45,410 --> 00:21:47,879 Speaker 6: I've been saying this, make this your job to vote. 408 00:21:48,060 --> 00:21:50,680 Speaker 6: And I think people are doing this and they may 409 00:21:50,720 --> 00:21:53,980 Speaker 6: not wait around for that mail-in ballot. They may say, 410 00:21:54,060 --> 00:21:55,520 Speaker 6: I'm not going to do the mail-in ballot this time 411 00:21:55,540 --> 00:21:56,520 Speaker 6: because they may screw with that. 412 00:21:56,540 --> 00:21:59,270 Speaker 3: So I'm going to do it another way. And I 413 00:21:59,290 --> 00:22:01,629 Speaker 3: don't know. How does he get him? How does Houdini, 414 00:22:02,490 --> 00:22:04,950 Speaker 3: crazy Houdini, get himself out of this mess? I have 415 00:22:05,030 --> 00:22:05,550 Speaker 3: no idea. 416 00:22:06,170 --> 00:22:08,950 Speaker 1: It's funny because it's like he's so known for defying 417 00:22:09,010 --> 00:22:13,560 Speaker 1: political gravity and he did get very lucky with COVID, right? 418 00:22:13,600 --> 00:22:17,020 Speaker 1: That COVID sort of created a kind of amnesia that 419 00:22:17,080 --> 00:22:21,270 Speaker 1: made it so people completely forgot about how his mismanagement 420 00:22:21,350 --> 00:22:24,530 Speaker 1: made it much worse. So now here we are in 421 00:22:24,810 --> 00:22:28,230 Speaker 1: a in a moment where it does seem like he 422 00:22:28,330 --> 00:22:32,000 Speaker 1: has no more cards left. The thing that I'm struck 423 00:22:32,060 --> 00:22:36,850 Speaker 1: by is how he got here with almost no— like, with COVID, 424 00:22:37,690 --> 00:22:40,689 Speaker 1: COVID just happened, right? You could try to figure out 425 00:22:40,730 --> 00:22:44,350 Speaker 1: the origins of COVID, but they weren't his fault. I mean, 426 00:22:44,390 --> 00:22:47,909 Speaker 1: maybe had there been— we' ve been a little more on it, 427 00:22:47,970 --> 00:22:51,369 Speaker 1: it might not have— but ultimately, like, that was— he was as 428 00:22:51,450 --> 00:22:54,980 Speaker 1: much a victim of this as anyone. What he did 429 00:22:55,200 --> 00:22:58,700 Speaker 1: afterwards was completely insane, but— But like with this, this 430 00:22:58,780 --> 00:23:00,440 Speaker 1: is all of his own making. 431 00:23:01,790 --> 00:23:02,119 Speaker 7: Right. 432 00:23:02,450 --> 00:23:05,830 Speaker 6: You know, in the COVID response, you know, not to 433 00:23:05,869 --> 00:23:07,810 Speaker 6: go down that rabbit hole, but I was. 434 00:23:07,670 --> 00:23:08,690 Speaker 3: There covering that. 435 00:23:09,210 --> 00:23:14,239 Speaker 6: And he sabotaged himself throughout that entire ordeal. You know, 436 00:23:14,260 --> 00:23:16,020 Speaker 6: he would say it's it's like a miracle. It's going 437 00:23:16,040 --> 00:23:16,800 Speaker 6: to disappear. 438 00:23:16,820 --> 00:23:19,200 Speaker 4: He would try to overrule Fauci. 439 00:23:19,320 --> 00:23:20,500 Speaker 3: He would say. 440 00:23:20,300 --> 00:23:23,370 Speaker 6: Liberate Minnesota and Michigan and, you know, forget about social 441 00:23:23,410 --> 00:23:26,149 Speaker 6: distancing as there were there was no vaccine and we 442 00:23:26,190 --> 00:23:28,390 Speaker 6: were just spreading it around. So, like, that didn't make 443 00:23:28,570 --> 00:23:32,580 Speaker 6: any sense. And it, you know, compounded the crisis, obviously. 444 00:23:33,060 --> 00:23:36,140 Speaker 6: And this time around, he's kind of he's almost doing 445 00:23:36,180 --> 00:23:38,740 Speaker 6: the same thing. But this time around, you're absolutely right. 446 00:23:39,100 --> 00:23:42,979 Speaker 6: He is the pandemic. He is the virus. He is 447 00:23:43,020 --> 00:23:48,459 Speaker 6: the pathogen. And he is, at the same time, the accelerant. 448 00:23:49,359 --> 00:23:52,450 Speaker 6: And he has completely done himself in. I've said this 449 00:23:52,470 --> 00:23:55,209 Speaker 6: many times over the years, since he started calling me 450 00:23:55,250 --> 00:23:56,409 Speaker 6: the enemy of the people and stuff like that. 451 00:23:56,609 --> 00:23:58,190 Speaker 3: He is his own worst enemy. 452 00:23:58,210 --> 00:24:01,630 Speaker 6: He will always screw himself harder than anybody has ever 453 00:24:01,710 --> 00:24:02,369 Speaker 6: screwed him. 454 00:24:02,650 --> 00:24:03,379 Speaker 1: It's really crazy. 455 00:24:03,690 --> 00:24:05,580 Speaker 3: But somehow he bails himself out somehow. 456 00:24:05,900 --> 00:24:07,640 Speaker 1: Just to go down this rabbit hole for a minute, 457 00:24:08,140 --> 00:24:12,430 Speaker 1: if you were a normal president, You could make it— like, 458 00:24:12,390 --> 00:24:16,530 Speaker 1: the Iranians obviously are not easy to negotiate with. That's 459 00:24:16,609 --> 00:24:20,360 Speaker 1: why it took Obama so long to set up that 460 00:24:20,520 --> 00:24:23,740 Speaker 1: nuclear deal, because it's hard to negotiate with someone where 461 00:24:23,780 --> 00:24:27,760 Speaker 1: you don't really have a language of trust. But it's 462 00:24:27,760 --> 00:24:30,439 Speaker 1: 10 times harder when you've sent in your son-in-law and 463 00:24:30,520 --> 00:24:34,240 Speaker 1: some rando friend of yours who has no experience doing this. 464 00:24:34,880 --> 00:24:37,840 Speaker 1: If you were to send in people who know how 465 00:24:37,880 --> 00:24:42,840 Speaker 1: to do this— And you could get them to reopen 466 00:24:42,880 --> 00:24:46,810 Speaker 1: the streets. You would have to send in people who 467 00:24:46,850 --> 00:24:48,610 Speaker 1: knew what they were doing and you'd have to get 468 00:24:48,700 --> 00:24:51,110 Speaker 1: Oman involved and you'd have to get all the other 469 00:24:51,150 --> 00:24:55,590 Speaker 1: Middle Eastern countries involved. But everybody is close enough together 470 00:24:55,650 --> 00:24:59,690 Speaker 1: and everybody is worried enough about the Iranians bombing them 471 00:25:00,090 --> 00:25:01,889 Speaker 1: that they want peace as much as we do. 472 00:25:02,170 --> 00:25:04,330 Speaker 3: They do. And I mean, I don't know what you do. 473 00:25:04,390 --> 00:25:06,929 Speaker 6: Do you give like Leon Panetta a billion dollars in 474 00:25:06,970 --> 00:25:09,740 Speaker 6: crypto and say, please bail my ass out of this? 475 00:25:09,920 --> 00:25:12,939 Speaker 1: I mean, Trump has offered a lot of stuff to 476 00:25:12,960 --> 00:25:13,659 Speaker 1: the Iranians. 477 00:25:13,680 --> 00:25:16,560 Speaker 6: Remember, he needs smart people around him, but smart people 478 00:25:16,600 --> 00:25:17,780 Speaker 6: don't want to work for him anymore. 479 00:25:18,080 --> 00:25:21,590 Speaker 3: They already went, you know, the normies tried this in 480 00:25:21,609 --> 00:25:22,810 Speaker 3: the first administration. 481 00:25:23,390 --> 00:25:25,929 Speaker 6: And now he's got the closest thing he has to 482 00:25:25,950 --> 00:25:27,949 Speaker 6: normies are Marco Rubio. 483 00:25:28,950 --> 00:25:30,330 Speaker 3: And Doug Burgum. 484 00:25:30,940 --> 00:25:31,120 Speaker 5: Right. 485 00:25:31,140 --> 00:25:33,480 Speaker 3: You know, and look what's happened to them. You know, 486 00:25:33,540 --> 00:25:34,660 Speaker 3: they sold their souls. 487 00:25:35,619 --> 00:25:38,040 Speaker 6: And there is the only thing I can think of 488 00:25:38,080 --> 00:25:40,760 Speaker 6: that he could do right now is say, well, listen, 489 00:25:40,820 --> 00:25:43,380 Speaker 6: if you vote for the Republicans, I will resign after 490 00:25:43,420 --> 00:25:44,360 Speaker 6: the midterms are over. 491 00:25:44,380 --> 00:25:45,510 Speaker 4: Right. 492 00:25:45,830 --> 00:25:48,370 Speaker 5: That is the only that's the only thing that would 493 00:25:48,430 --> 00:25:49,150 Speaker 5: do it at this point. 494 00:25:49,470 --> 00:25:52,670 Speaker 3: But with Iran, nobody trusts him. 495 00:25:53,150 --> 00:25:57,290 Speaker 6: And obviously anything he says today will be completely undone tomorrow. 496 00:25:57,310 --> 00:25:58,590 Speaker 3: Yeah. And so. 497 00:25:59,220 --> 00:26:02,680 Speaker 6: You know, he has painted himself into a corner corner here. 498 00:26:02,980 --> 00:26:08,080 Speaker 6: And he, to me, really has no choice here but 499 00:26:08,180 --> 00:26:10,919 Speaker 6: to ride this thing out and see if, you know, 500 00:26:11,020 --> 00:26:13,770 Speaker 6: current events somehow bail him out as they have in 501 00:26:13,790 --> 00:26:16,010 Speaker 6: the past. I mean, you know, this whole notion that 502 00:26:16,050 --> 00:26:17,990 Speaker 6: he's going to be so humiliated after the midterms, he's 503 00:26:18,010 --> 00:26:22,250 Speaker 6: going to go, you know. limping away and resign and 504 00:26:22,290 --> 00:26:23,010 Speaker 6: leave the office. 505 00:26:24,170 --> 00:26:25,090 Speaker 3: Zero. 506 00:26:25,090 --> 00:26:27,909 Speaker 6: 0.0% chance of that because he knows his ass is 507 00:26:27,950 --> 00:26:31,610 Speaker 6: in legal hot water again. He has done so much corrupt, 508 00:26:31,710 --> 00:26:35,470 Speaker 6: crooked shit since coming back into the Oval Office. His family, 509 00:26:35,869 --> 00:26:37,470 Speaker 6: they've all been lining their pockets. 510 00:26:37,490 --> 00:26:38,070 Speaker 1: He's made so much money. 511 00:26:38,330 --> 00:26:40,510 Speaker 6: I was talking with somebody and I can't get anywhere 512 00:26:40,570 --> 00:26:43,930 Speaker 6: close to revealing how I could reveal, you know, I 513 00:26:43,950 --> 00:26:45,619 Speaker 6: don't want to say anything about who this person is, 514 00:26:45,869 --> 00:26:47,430 Speaker 6: but I know somebody who knows the family. 515 00:26:47,450 --> 00:26:48,369 Speaker 3: I was speaking with them recently. 516 00:26:49,090 --> 00:26:51,890 Speaker 6: And they told me that the only thing that Donald 517 00:26:51,910 --> 00:26:53,820 Speaker 6: Trump and his family are doing right now is lining 518 00:26:53,880 --> 00:26:54,340 Speaker 6: their pockets. 519 00:26:54,359 --> 00:26:56,010 Speaker 1: That's all they're doing. 520 00:26:55,840 --> 00:26:58,359 Speaker 3: Since coming back from the White House. It's all they 521 00:26:58,400 --> 00:26:58,900 Speaker 3: care about. 522 00:26:58,920 --> 00:27:02,780 Speaker 6: And it's completely obvious to anybody who knows this family well. 523 00:27:03,340 --> 00:27:07,580 Speaker 6: And I think that's the whole ballgame. That's the scoreboard 524 00:27:07,619 --> 00:27:10,140 Speaker 6: at this point is how much money they are racking 525 00:27:10,340 --> 00:27:13,290 Speaker 6: up as– as President of the United States and the 526 00:27:13,330 --> 00:27:13,969 Speaker 6: first family. 527 00:27:14,350 --> 00:27:15,520 Speaker 3: And it's astonishing. 528 00:27:15,859 --> 00:27:18,360 Speaker 6: And I think after this is all said and done, Molly, 529 00:27:18,420 --> 00:27:21,939 Speaker 6: I think we will all be shocked and flabbergasted and 530 00:27:21,980 --> 00:27:26,580 Speaker 6: completely just, our minds will be blown by the level 531 00:27:26,619 --> 00:27:29,740 Speaker 6: of corruption that has occurred under our noses without, I guess, 532 00:27:29,780 --> 00:27:31,740 Speaker 6: without a lot of us really knowing the full magnitude 533 00:27:31,760 --> 00:27:35,550 Speaker 6: of what's going on. Just what's been revealed, you know, paying, 534 00:27:35,590 --> 00:27:38,909 Speaker 6: giving $ 45, 000 to Natalie Harp, that's the other thing that 535 00:27:38,950 --> 00:27:41,970 Speaker 6: just came out recently, stuff like that. I mean, Those 536 00:27:42,020 --> 00:27:44,980 Speaker 6: are that's peanuts compared to what he's been raking in 537 00:27:45,000 --> 00:27:45,680 Speaker 6: and what his family. 538 00:27:45,500 --> 00:27:46,159 Speaker 3: Has been raking in. 539 00:27:46,680 --> 00:27:46,940 Speaker 5: Yeah. 540 00:27:47,160 --> 00:27:48,220 Speaker 1: Jim Acosta. 541 00:27:48,780 --> 00:27:50,580 Speaker 3: Molly, great to see you. Thanks so much. 542 00:27:52,520 --> 00:27:58,639 Speaker 1: Congressman Brendan Boyle represents Pennsylvania's 2nd District. Welcome, welcome, Representative Boyle. 543 00:27:59,000 --> 00:28:00,640 Speaker 4: Great to be back. Great to be back. 544 00:28:00,740 --> 00:28:05,190 Speaker 1: So Democrats could very, very, very possibly flip the House. 545 00:28:05,550 --> 00:28:07,990 Speaker 1: The thing that is on everyone's mind right now are 546 00:28:08,050 --> 00:28:11,629 Speaker 1: the elections. There's a lot of anxiety that Trump is 547 00:28:11,670 --> 00:28:14,990 Speaker 1: going to mess with the vote. You are in Pennsylvania, 548 00:28:15,150 --> 00:28:18,129 Speaker 1: which is insane. the swing state to end all swing states. 549 00:28:18,350 --> 00:28:21,280 Speaker 1: What are you guys doing there on the ground to 550 00:28:21,320 --> 00:28:24,280 Speaker 1: protect voters, mail-in ballots, etc. 551 00:28:24,500 --> 00:28:27,080 Speaker 7: Yeah, I mean, this is very timely because literally just 552 00:28:27,400 --> 00:28:30,419 Speaker 7: a couple hours ago, I was in my district standing 553 00:28:30,480 --> 00:28:34,010 Speaker 7: outside one of the offices of the Philadelphia city commissioners. 554 00:28:34,109 --> 00:28:38,670 Speaker 7: The city commissioners here in Philly, it's a three-person elected 555 00:28:38,710 --> 00:28:41,910 Speaker 7: official panel that runs our elections and happens to be 556 00:28:41,930 --> 00:28:46,230 Speaker 7: two Democrats, one Republican, one The Republican who used to 557 00:28:46,270 --> 00:28:49,170 Speaker 7: do it, a gentleman named Al Smith, kind of became 558 00:28:49,290 --> 00:28:52,670 Speaker 7: famous in 2020, you might remember, because he was a 559 00:28:52,730 --> 00:28:56,810 Speaker 7: Republican with tremendous integrity who was taking a lot of 560 00:28:57,070 --> 00:29:00,760 Speaker 7: personal risks to stand up to what Trump was doing 561 00:29:00,860 --> 00:29:05,800 Speaker 7: to attempt to steal the 2020 election. He's been succeeded 562 00:29:05,920 --> 00:29:11,360 Speaker 7: by another Republican who is also equally courageous and committed 563 00:29:11,400 --> 00:29:14,480 Speaker 7: to doing the right thing. So the Republican member, in 564 00:29:14,520 --> 00:29:18,350 Speaker 7: addition to the two Democratic members, have just really been phenomenal. 565 00:29:18,610 --> 00:29:19,930 Speaker 4: And we have really been center. 566 00:29:20,010 --> 00:29:22,610 Speaker 7: I mean, as the biggest city of the biggest swing 567 00:29:22,670 --> 00:29:25,710 Speaker 7: state in the nation over the last decade, we've really 568 00:29:25,750 --> 00:29:28,190 Speaker 7: been front and center here. And once again, you have 569 00:29:28,230 --> 00:29:32,270 Speaker 7: Trump threatening to screw up mail-in ballots. 570 00:29:31,870 --> 00:29:33,130 Speaker 4: With this executive order. 571 00:29:33,210 --> 00:29:37,719 Speaker 7: So I stood outside the city commissioner's office today, as 572 00:29:37,770 --> 00:29:40,720 Speaker 7: well as with some postal workers and the head of 573 00:29:40,800 --> 00:29:44,100 Speaker 7: one of the local postal workers unions here to call 574 00:29:44,220 --> 00:29:47,040 Speaker 7: out what the Trump administration is attempting to do to 575 00:29:47,120 --> 00:29:50,800 Speaker 7: really screw around with mail-in balloting. So I'm on legislation 576 00:29:51,020 --> 00:29:54,030 Speaker 7: that would stop the executive order. Of course, Mike Johnson 577 00:29:54,650 --> 00:29:57,750 Speaker 7: is not exactly going to be standing up for this president. 578 00:29:58,390 --> 00:30:00,690 Speaker 4: Anytime soon. The next time he does will be the 579 00:30:00,730 --> 00:30:01,350 Speaker 4: first time. 580 00:30:01,810 --> 00:30:05,210 Speaker 7: So I really think on this over the next two months, 581 00:30:05,650 --> 00:30:08,010 Speaker 7: it will come down to the courts and ultimately the 582 00:30:08,130 --> 00:30:11,030 Speaker 7: US Supreme Court as to whether or not we're still 583 00:30:11,090 --> 00:30:13,580 Speaker 7: going to be able to vote by mail, which I 584 00:30:13,630 --> 00:30:17,100 Speaker 7: remind people is completely safe and secure, so much so 585 00:30:17,140 --> 00:30:21,510 Speaker 7: that Donald Trump votes by mail and has done so repeatedly. 586 00:30:21,730 --> 00:30:24,870 Speaker 1: We are eight weeks from the midterm. So do you 587 00:30:24,930 --> 00:30:28,390 Speaker 1: think that Trump is just doing this to try to 588 00:30:28,550 --> 00:30:31,469 Speaker 1: get people to not trust the system? 589 00:30:31,490 --> 00:30:32,830 Speaker 4: There's no question. 590 00:30:32,850 --> 00:30:36,030 Speaker 7: Look, I think that with, you know, eight weeks to go, 591 00:30:36,270 --> 00:30:39,670 Speaker 7: he sees what everyone else sees, that we Democrats are 592 00:30:40,090 --> 00:30:43,390 Speaker 7: heavily favored to take back the House. Looks like it 593 00:30:43,430 --> 00:30:46,710 Speaker 7: will be another blue wave similar to 2018. Can't take 594 00:30:46,750 --> 00:30:49,950 Speaker 7: anything for granted, but clearly All signs are pointing in 595 00:30:49,990 --> 00:30:53,430 Speaker 7: that direction. Trump is far more unpopular today than he 596 00:30:53,510 --> 00:30:56,350 Speaker 7: even was eight years ago when Democrats won 40 House 597 00:30:56,370 --> 00:30:59,800 Speaker 7: seats and took back the House. So I think he's 598 00:30:59,840 --> 00:31:01,700 Speaker 7: setting things up to say. 599 00:31:01,820 --> 00:31:03,979 Speaker 4: See, they stole it from me again. 600 00:31:04,600 --> 00:31:07,700 Speaker 7: It's all crooked, fake news. 601 00:31:08,130 --> 00:31:11,970 Speaker 4: It's all the bullshit that he throws out there any 602 00:31:12,070 --> 00:31:15,120 Speaker 4: time he loses an election. Hell, it's kind of. 603 00:31:15,080 --> 00:31:17,980 Speaker 7: Well known that after the 2016 election, the election in 604 00:31:18,040 --> 00:31:21,410 Speaker 7: which he did win a majority of the electoral vote, unfortunately, 605 00:31:21,910 --> 00:31:25,150 Speaker 7: but lost the popular vote by almost 3 million votes, 606 00:31:25,410 --> 00:31:28,970 Speaker 7: he even called into question that election and said that 607 00:31:28,970 --> 00:31:33,960 Speaker 7: 5 million people had voted illegally, which was an insane claim. 608 00:31:34,280 --> 00:31:37,120 Speaker 7: So he's a guy who even calls into question the 609 00:31:37,160 --> 00:31:40,800 Speaker 7: validity of an election in which he will be the winner. 610 00:31:41,100 --> 00:31:43,100 Speaker 7: So there's no question he's going to do the same 611 00:31:43,140 --> 00:31:45,280 Speaker 7: thing in 2026, you know, when we win. 612 00:31:45,560 --> 00:31:49,380 Speaker 1: So if that's true, are you worried about Mike Johnson 613 00:31:49,440 --> 00:31:55,530 Speaker 1: not seeding the Democrats? Because there's a scenario where Democrats win, 614 00:31:55,810 --> 00:31:59,090 Speaker 1: they flip the House, and then Mike Johnson, who is 615 00:31:59,130 --> 00:32:03,209 Speaker 1: the Speaker of the House, until those votes are seated. 616 00:32:03,470 --> 00:32:06,670 Speaker 7: So let me say a couple points about this. First, 617 00:32:06,760 --> 00:32:08,820 Speaker 7: we need to win by a margin that is too 618 00:32:08,860 --> 00:32:12,140 Speaker 7: big to rig. That is the safest way to ensure 619 00:32:12,200 --> 00:32:14,730 Speaker 7: we don't have to worry about any of this. Because 620 00:32:14,780 --> 00:32:17,300 Speaker 7: I do have some fears what happens if we, you know, 621 00:32:17,500 --> 00:32:21,900 Speaker 7: after the election, we're in a 218 to 217 type 622 00:32:21,980 --> 00:32:25,140 Speaker 7: margin or even 219 to 216. And that would give 623 00:32:25,200 --> 00:32:28,710 Speaker 7: Republicans incentive to try to hold up the election results 624 00:32:28,770 --> 00:32:32,290 Speaker 7: in one to three House races. If we're winning a 625 00:32:32,330 --> 00:32:36,650 Speaker 7: majority by, you know, six members, 10 members, double digits, 626 00:32:36,850 --> 00:32:40,380 Speaker 7: then then I'm a lot less worried about that. But 627 00:32:40,580 --> 00:32:43,680 Speaker 7: there's another point that I think people miss. On January 628 00:32:44,000 --> 00:32:46,860 Speaker 7: 3rd at noon, when the new Congress will be sworn 629 00:32:46,880 --> 00:32:47,540 Speaker 7: in per the U.S. 630 00:32:47,580 --> 00:32:50,830 Speaker 4: Constitution, Mike Johnson is not in the chair as speaker. 631 00:32:51,090 --> 00:32:52,910 Speaker 7: A lot of people are under the false impression that 632 00:32:52,950 --> 00:32:54,490 Speaker 7: he's speaker until he's voted out. 633 00:32:54,830 --> 00:32:58,270 Speaker 4: No, there is no speaker of the House at 12 634 00:32:58,270 --> 00:32:59,890 Speaker 4: noon on January 3rd. 635 00:33:00,110 --> 00:33:08,430 Speaker 7: It's actually the clerk this completely anonymous, administrative, nonpartisan position 636 00:33:08,760 --> 00:33:10,960 Speaker 7: who is in that position of power. And in fact, 637 00:33:11,040 --> 00:33:15,520 Speaker 7: people might remember that during those four absurd days when 638 00:33:15,580 --> 00:33:19,780 Speaker 7: Kevin McCarthy was attempting to win the speakership back the 639 00:33:19,800 --> 00:33:21,860 Speaker 7: first week of January in 2023, and this went for 640 00:33:22,000 --> 00:33:27,080 Speaker 7: four days, 15 rounds, he wasn't in the chair. There 641 00:33:27,120 --> 00:33:29,480 Speaker 7: was no Republican in the chair. There was an F 642 00:33:29,680 --> 00:33:32,140 Speaker 7: an older African-American woman who happened to be the chief 643 00:33:32,200 --> 00:33:35,219 Speaker 7: clerk at the time, who was at that point, the 644 00:33:35,260 --> 00:33:39,040 Speaker 7: presiding officer of the house of representatives until you had 645 00:33:39,080 --> 00:33:42,520 Speaker 7: the election for speaker. So Final point I'll make on 646 00:33:42,560 --> 00:33:45,620 Speaker 7: this is we can't allow some of this garbage to 647 00:33:45,640 --> 00:33:49,220 Speaker 7: become a self-fulfilling prophecy where people get themselves worked up, 648 00:33:49,580 --> 00:33:53,020 Speaker 7: so nervous about what Trump might do, so concerned about 649 00:33:53,200 --> 00:33:56,470 Speaker 7: the chicanery and the illegal stuff he may pull that 650 00:33:56,510 --> 00:33:59,790 Speaker 7: people just become disaffected and checked out and don't turn 651 00:33:59,830 --> 00:34:00,390 Speaker 7: up to vote. 652 00:34:00,470 --> 00:34:02,970 Speaker 4: Because in many ways, that's exactly what he wants. 653 00:34:03,170 --> 00:34:07,970 Speaker 1: Talk to me about the tariffs because you're in Pennsylvania. 654 00:34:07,990 --> 00:34:10,190 Speaker 1: So you're getting hit by the trade war, getting hit 655 00:34:10,210 --> 00:34:14,100 Speaker 1: by the gasoline. Trump sort of declared war against Canada 656 00:34:14,120 --> 00:34:18,360 Speaker 1: last week. Not entirely clear why Canada is now going 657 00:34:18,460 --> 00:34:21,620 Speaker 1: to put these retaliatory tariffs in place. Yeah. 658 00:34:21,680 --> 00:34:26,190 Speaker 7: So not just Pennsylvania, but nationwide, we are suffering from 659 00:34:26,210 --> 00:34:30,390 Speaker 7: the highest tariffs since the 1930s, since the Great Depression. 660 00:34:30,739 --> 00:34:33,359 Speaker 7: Tariff is just another word for a tax. The same 661 00:34:33,420 --> 00:34:36,200 Speaker 7: way a mortgage is another word for a kind of loan. 662 00:34:36,540 --> 00:34:39,840 Speaker 7: These tariffs are taxes, and they are at the highest 663 00:34:39,920 --> 00:34:43,279 Speaker 7: level in almost a century. And the American people are 664 00:34:43,320 --> 00:34:46,420 Speaker 7: paying the price. They are suffering. So that is point 665 00:34:46,460 --> 00:34:50,460 Speaker 7: number one. Point number two, I don't think people realize 666 00:34:50,620 --> 00:34:53,779 Speaker 7: that Canada is our single biggest export market. When you 667 00:34:53,800 --> 00:34:57,100 Speaker 7: combine imports and exports, Canada is one of our three 668 00:34:57,180 --> 00:34:58,600 Speaker 7: largest trading partners. 669 00:34:58,660 --> 00:35:00,180 Speaker 4: The other two are Mexico and China. 670 00:35:00,660 --> 00:35:03,960 Speaker 7: China ends up getting so much outsized attention from the 671 00:35:03,980 --> 00:35:07,360 Speaker 7: media that people don't realize that Canada is actually a 672 00:35:07,430 --> 00:35:11,290 Speaker 7: larger trading partner for the United States. So starting a 673 00:35:11,570 --> 00:35:15,790 Speaker 7: trade war with one of our biggest trading partners is 674 00:35:16,250 --> 00:35:22,590 Speaker 7: unbelievably stupid and self-destructive. This is essentially a massive tax 675 00:35:22,630 --> 00:35:27,830 Speaker 7: increase that is disproportionately paid for by the poorest and 676 00:35:27,890 --> 00:35:32,210 Speaker 7: most working class Americans, because of course, you know, when 677 00:35:32,230 --> 00:35:34,819 Speaker 7: you have no money, you're spending most of your money 678 00:35:35,020 --> 00:35:37,780 Speaker 7: to buy goods and services and have. 679 00:35:37,620 --> 00:35:38,660 Speaker 4: Very little savings. 680 00:35:38,880 --> 00:35:42,080 Speaker 7: That takes up by a higher percentage of your overall 681 00:35:42,140 --> 00:35:45,310 Speaker 7: budget than if you're a higher income person. So This 682 00:35:45,390 --> 00:35:48,410 Speaker 7: is an awful situation when you combine the tariffs with 683 00:35:48,510 --> 00:35:52,029 Speaker 7: the record high gas prices and other energy costs. You 684 00:35:52,070 --> 00:35:56,080 Speaker 7: can understand why the polling in terms of the economy 685 00:35:56,180 --> 00:35:59,420 Speaker 7: right now is the worst we've seen for any president 686 00:35:59,600 --> 00:36:03,480 Speaker 7: since the fall of 2008, which is when the Great 687 00:36:03,580 --> 00:36:05,259 Speaker 7: Recession was unfolding. 688 00:36:05,320 --> 00:36:08,529 Speaker 4: George W. Bush was in the 20s in terms of 689 00:36:08,570 --> 00:36:09,969 Speaker 4: his polling on the economy. 690 00:36:10,150 --> 00:36:13,610 Speaker 7: We haven't seen a president repeat those low levels until 691 00:36:13,670 --> 00:36:16,469 Speaker 7: right now. Donald Trump's numbers are also in the 20s 692 00:36:16,670 --> 00:36:18,170 Speaker 7: in terms of his handling of the economy. 693 00:36:18,510 --> 00:36:21,870 Speaker 1: So I want you to talk about it strikes me 694 00:36:21,950 --> 00:36:24,210 Speaker 1: that Democrats might flip the sat net. 695 00:36:24,390 --> 00:36:26,890 Speaker 7: Yeah. You know, if we were having this conversation a 696 00:36:27,570 --> 00:36:30,480 Speaker 7: year ago, None of us or neither of us would 697 00:36:30,520 --> 00:36:33,720 Speaker 7: have really been realistically thinking that the Senate was flippable. 698 00:36:33,780 --> 00:36:36,259 Speaker 7: In fact, believe it or not, at the time, just 699 00:36:36,300 --> 00:36:39,000 Speaker 7: a year ago, there were some pretty serious people writing 700 00:36:39,080 --> 00:36:42,120 Speaker 7: think pieces on whether or not Democrats could ever win 701 00:36:42,160 --> 00:36:46,969 Speaker 7: back the Senate because of the bias toward Republicans in 702 00:36:47,010 --> 00:36:48,509 Speaker 7: the way that the Senate. 703 00:36:48,750 --> 00:36:49,750 Speaker 4: Is made up as a body. 704 00:36:50,150 --> 00:36:53,090 Speaker 7: Now, here we are, and we're talking about electing Democratic 705 00:36:53,130 --> 00:36:58,560 Speaker 7: senators in Ohio, in Texas, in Iowa, in Alaska, and 706 00:36:58,660 --> 00:37:00,800 Speaker 7: perhaps even winning 52 seats. 707 00:37:01,260 --> 00:37:02,680 Speaker 4: So, you know. 708 00:37:02,739 --> 00:37:04,719 Speaker 7: Right now, as it stands in the Senate, I think 709 00:37:04,760 --> 00:37:08,610 Speaker 7: it's probably 50-50. I mean, those are seats or states 710 00:37:08,690 --> 00:37:12,290 Speaker 7: I mentioned where Trump won by double digits, by anywhere 711 00:37:12,310 --> 00:37:12,729 Speaker 7: from 10, 11, 12 points. 712 00:37:14,590 --> 00:37:16,820 Speaker 4: So it shows you the kind of swing that we need. 713 00:37:17,219 --> 00:37:19,759 Speaker 7: And yet right now in the polling, Tallarico has a 714 00:37:19,820 --> 00:37:21,660 Speaker 7: small lead in Texas. 715 00:37:21,719 --> 00:37:22,400 Speaker 4: Great candidate. 716 00:37:22,860 --> 00:37:26,460 Speaker 7: Sherry Brown really over, in losing two years ago, he 717 00:37:26,600 --> 00:37:31,070 Speaker 7: overperformed tremendously in Ohio in a very tough election year. 718 00:37:31,430 --> 00:37:35,149 Speaker 7: So he's doing really well in Ohio. Mary Paltola, my 719 00:37:35,230 --> 00:37:39,029 Speaker 7: former colleague, is such a great fit in Alaska. 720 00:37:39,350 --> 00:37:42,710 Speaker 4: And then Josh Torek in Iowa is a great candidate 721 00:37:42,730 --> 00:37:43,069 Speaker 4: as well. 722 00:37:43,130 --> 00:37:45,920 Speaker 7: So we're pretty fortunate And then, of course, in addition 723 00:37:46,040 --> 00:37:49,580 Speaker 7: to Maine, obviously North Carolina and the states we need 724 00:37:49,600 --> 00:37:50,920 Speaker 7: to hold in Michigan and Georgia. 725 00:37:51,200 --> 00:37:55,120 Speaker 1: So in 2028, there will be the Fetterman seat will 726 00:37:55,160 --> 00:37:58,089 Speaker 1: be up. Fetterman has been real disappointed. There was this 727 00:37:58,140 --> 00:38:00,910 Speaker 1: Wall Street Journal piece. I'm sure you saw it five 728 00:38:00,950 --> 00:38:03,670 Speaker 1: days ago, said that he doesn't have much interest in 729 00:38:03,710 --> 00:38:07,170 Speaker 1: meeting with CHOP, Children's Hospital of Philadelphia, one of the 730 00:38:07,250 --> 00:38:11,970 Speaker 1: great scientific institutions. Talk me through what you think about 731 00:38:12,190 --> 00:38:13,859 Speaker 1: this moment and John Fetterman. 732 00:38:14,030 --> 00:38:17,700 Speaker 7: Well, I mean, John Fetterman has been a remarkable disappointment. 733 00:38:18,040 --> 00:38:21,100 Speaker 7: The change in him in such a short period of 734 00:38:21,160 --> 00:38:23,779 Speaker 7: time from what he said he was all about when 735 00:38:23,820 --> 00:38:26,520 Speaker 7: he ran for the Senate four years ago versus how 736 00:38:26,580 --> 00:38:27,500 Speaker 7: he's been in office. 737 00:38:27,840 --> 00:38:30,140 Speaker 4: Some of the things in that article are truly shocking. 738 00:38:30,489 --> 00:38:32,790 Speaker 7: You know, just a few weeks ago, ironically, I was 739 00:38:32,850 --> 00:38:36,989 Speaker 7: down at CHOP standing outside one of their buildings to 740 00:38:37,290 --> 00:38:41,830 Speaker 7: fight for them because they're losing research money left and right. 741 00:38:41,930 --> 00:38:43,969 Speaker 4: These grants, research grants being cut. 742 00:38:44,530 --> 00:38:48,930 Speaker 7: By this crazy HHS that we have under this administration 743 00:38:48,969 --> 00:38:51,910 Speaker 7: and RFK Jr. So to refuse to meet with them 744 00:38:52,190 --> 00:38:54,360 Speaker 7: in your office in Washington, D.C., as well as some 745 00:38:54,390 --> 00:38:56,660 Speaker 7: of the other things that were in there as well. 746 00:38:56,719 --> 00:38:59,140 Speaker 1: Refusing to meet with paralyzed servicemen. 747 00:38:59,260 --> 00:39:02,200 Speaker 7: Just truly disgraceful, which is one. If someone follows me 748 00:39:02,239 --> 00:39:05,700 Speaker 7: on Twitter, Rep. Brendan Boyle, I called him a disgrace. 749 00:39:06,360 --> 00:39:09,780 Speaker 7: because that's exactly right. I mean, that's how he's behaved. 750 00:39:10,060 --> 00:39:13,759 Speaker 7: And for me, a number of supporters earlier this year 751 00:39:13,840 --> 00:39:15,900 Speaker 7: came to me to urge me to run for the U.S. 752 00:39:15,920 --> 00:39:18,759 Speaker 7: Senate in 2028. And I told them exactly what I'll 753 00:39:18,800 --> 00:39:22,710 Speaker 7: repeat now. My focus is entirely on this election. We 754 00:39:22,770 --> 00:39:24,930 Speaker 7: have to win a majority in the House and finally 755 00:39:24,969 --> 00:39:29,210 Speaker 7: provide a check on this crazy, out-of-control administration. If we 756 00:39:29,250 --> 00:39:30,980 Speaker 7: do win the majority in the House, then I will 757 00:39:31,000 --> 00:39:33,120 Speaker 7: be the next chairman of the House Budget Committee, an 758 00:39:33,160 --> 00:39:36,000 Speaker 7: incredibly important position that when I first came to the 759 00:39:36,040 --> 00:39:39,530 Speaker 7: Congress 12 years ago, Paul Ryan was in that position 760 00:39:39,680 --> 00:39:41,440 Speaker 7: and was able to do a lot of things with it, 761 00:39:41,489 --> 00:39:44,690 Speaker 7: a lot of damaging things from my perspective, but nonetheless 762 00:39:44,810 --> 00:39:46,049 Speaker 7: was able to have a great deal of. 763 00:39:46,050 --> 00:39:47,390 Speaker 4: Influence on public policy. 764 00:39:47,730 --> 00:39:50,330 Speaker 7: So I hope to be in a position to have 765 00:39:50,370 --> 00:39:55,489 Speaker 7: a difficult choice to make come after November in terms 766 00:39:55,530 --> 00:39:56,370 Speaker 7: of what I want to do next. 767 00:39:56,590 --> 00:39:59,989 Speaker 1: Because you have seniority, you would have to give up 768 00:40:00,030 --> 00:40:01,780 Speaker 1: that seniority run for a Senate. 769 00:40:02,000 --> 00:40:05,100 Speaker 7: Combination of seniority, but also I have been elected by 770 00:40:05,580 --> 00:40:08,680 Speaker 7: a majority of Democrats in my caucus to be the 771 00:40:08,719 --> 00:40:11,219 Speaker 7: lead Democrat currently on the budget committee, which makes you 772 00:40:11,260 --> 00:40:13,880 Speaker 7: ranking member. For the majority, instead of ranking member, I'm 773 00:40:13,960 --> 00:40:17,799 Speaker 7: chair of the entire committee. And as I look at 774 00:40:17,860 --> 00:40:21,049 Speaker 7: the next few years, it's an important position as the 775 00:40:21,090 --> 00:40:23,870 Speaker 7: chair fighting back against this administration in the last two 776 00:40:23,910 --> 00:40:24,990 Speaker 7: years of a President Trump. 777 00:40:25,190 --> 00:40:27,609 Speaker 4: But what I'm really excited about is the prospect that. 778 00:40:27,530 --> 00:40:31,630 Speaker 7: Come January 2029, just two years and a few months away, 779 00:40:31,850 --> 00:40:35,089 Speaker 7: we could have another Democratic trifecta in which we would 780 00:40:35,210 --> 00:40:41,140 Speaker 7: finally have the opportunity to do real transformative, positive change 781 00:40:41,560 --> 00:40:42,460 Speaker 7: for this country. 782 00:40:42,900 --> 00:40:45,399 Speaker 4: And as you know, any person who is. 783 00:40:45,360 --> 00:40:47,900 Speaker 7: The chair of the house budget committee would be leading 784 00:40:47,940 --> 00:40:50,930 Speaker 7: that effort because reconciliation bill is how you would do it. 785 00:40:51,410 --> 00:40:53,410 Speaker 4: And that runs through the budget committee. 786 00:40:53,489 --> 00:40:56,330 Speaker 7: So, and that's the way that Joe Biden did his 787 00:40:56,390 --> 00:40:58,930 Speaker 7: inflation reduction act, the way Donald Trump has done his 788 00:40:59,030 --> 00:41:02,270 Speaker 7: big and damaging rounds of tax cuts, the way Obama 789 00:41:02,310 --> 00:41:05,880 Speaker 7: was able to get through Obamacare, it was all through reconciliation. 790 00:41:06,489 --> 00:41:09,510 Speaker 7: which starts and finishes in the Budget Committee. 791 00:41:09,550 --> 00:41:12,270 Speaker 1: What would you do if you had the gavel? Like, 792 00:41:12,290 --> 00:41:15,030 Speaker 1: what would be the first legislative? 793 00:41:15,370 --> 00:41:17,190 Speaker 4: So there are a few things that I'm focused on 794 00:41:17,230 --> 00:41:17,890 Speaker 4: come January. 795 00:41:17,969 --> 00:41:23,450 Speaker 7: Number one, let's not forget that in his absurdly called big, 796 00:41:23,489 --> 00:41:27,980 Speaker 7: beautiful bill of last year, the big BS bill, It 797 00:41:28,040 --> 00:41:31,500 Speaker 7: included in that healthcare cuts that take away the healthcare 798 00:41:31,580 --> 00:41:34,759 Speaker 7: of 16 million Americans. Most of that damage, and this 799 00:41:34,820 --> 00:41:37,259 Speaker 7: is maybe the most cynical part of that bill, most 800 00:41:37,320 --> 00:41:41,290 Speaker 7: of that damage doesn't begin until December of this year. 801 00:41:41,370 --> 00:41:43,310 Speaker 4: That's when the Medicaid cuts take effect. 802 00:41:43,510 --> 00:41:46,589 Speaker 7: So when I take over, I hope the gavel come 803 00:41:46,610 --> 00:41:50,140 Speaker 7: January 3rd, we literally will just be in the early 804 00:41:50,200 --> 00:41:54,219 Speaker 7: stages of those Medicaid cuts taking effect. So my first priority, 805 00:41:54,260 --> 00:41:56,560 Speaker 7: the first bill that we will pass out of the 806 00:41:56,600 --> 00:42:00,650 Speaker 7: committee is to reverse every single one of those devastating 807 00:42:00,690 --> 00:42:03,410 Speaker 7: health care cuts that were included in the big BS 808 00:42:03,469 --> 00:42:07,140 Speaker 7: bill that became law last year. The second thing will 809 00:42:07,180 --> 00:42:11,100 Speaker 7: finally be to reclaim the tariff authority that is inherent 810 00:42:11,460 --> 00:42:13,740 Speaker 7: in Article 1 of the Constitution, which means. 811 00:42:13,780 --> 00:42:15,280 Speaker 1: Could you end the tariffs? 812 00:42:15,760 --> 00:42:16,300 Speaker 5: Absolutely. 813 00:42:16,340 --> 00:42:18,219 Speaker 7: I mean, the power to tariff or the power to 814 00:42:18,260 --> 00:42:21,339 Speaker 7: tax is a power of the United States Congress as 815 00:42:21,540 --> 00:42:26,120 Speaker 7: the Supreme Court. Even this very conservative Supreme Court found 816 00:42:26,140 --> 00:42:29,120 Speaker 7: a few months ago in striking down one version of 817 00:42:29,160 --> 00:42:34,400 Speaker 7: Trump's tariffs that they were unconstitutional because Congress ultimately has 818 00:42:34,420 --> 00:42:37,240 Speaker 7: to vote on on a tariff. Now, of course, this 819 00:42:37,300 --> 00:42:41,049 Speaker 7: administration came up with other B.S. executive orders that they're. 820 00:42:41,050 --> 00:42:42,450 Speaker 4: Hanging their hat on now. 821 00:42:42,969 --> 00:42:46,310 Speaker 7: But if Congress acted here, which Mike Johnson refuses to do, 822 00:42:46,550 --> 00:42:48,989 Speaker 7: Congress could end these tariffs once and for all. So 823 00:42:49,010 --> 00:42:52,009 Speaker 7: that's something that I'm really looking forward to a House 824 00:42:52,090 --> 00:42:54,710 Speaker 7: Democratic majority being able to do in a short period 825 00:42:54,730 --> 00:42:55,029 Speaker 7: of time. 826 00:42:55,180 --> 00:42:57,759 Speaker 1: That would be pretty amazing if you could do that. 827 00:42:58,060 --> 00:43:01,299 Speaker 1: The child tax credit was one of the most effective 828 00:43:01,420 --> 00:43:04,140 Speaker 1: ways to take children out of poverty. Is there any 829 00:43:04,180 --> 00:43:08,440 Speaker 1: way to get that back? Because it expired under Republican rule. 830 00:43:08,700 --> 00:43:11,319 Speaker 7: So in the child tax credit, this was in the 831 00:43:11,380 --> 00:43:14,219 Speaker 7: original version of the Inflation Reduction Act that we passed 832 00:43:14,260 --> 00:43:16,779 Speaker 7: out of the House. So House Democrats, we made it 833 00:43:16,870 --> 00:43:19,530 Speaker 7: permanent in a bill that was originally called Build Back Better, 834 00:43:19,770 --> 00:43:22,810 Speaker 7: if you remember that. And then two, at the time, 835 00:43:22,870 --> 00:43:26,710 Speaker 7: Democratic senators, Joe Manchin and Kyrsten Sinema, stopped that from 836 00:43:26,750 --> 00:43:30,370 Speaker 7: becoming permanent when they slimmed down the bill into the 837 00:43:30,410 --> 00:43:33,230 Speaker 7: Inflation Reduction Act. There is no question in my mind, 838 00:43:33,450 --> 00:43:38,410 Speaker 7: the next Democratic trifecta needs to make the child tax 839 00:43:38,469 --> 00:43:41,730 Speaker 7: credit permanent. It lifted so many millions out of poverty. 840 00:43:42,090 --> 00:43:46,359 Speaker 7: I have one of the lowest income congressional districts nationwide. 841 00:43:46,500 --> 00:43:49,759 Speaker 7: So that really helped my constituents a great deal. I 842 00:43:50,180 --> 00:43:52,760 Speaker 7: am very confident that a House Democratic. 843 00:43:52,360 --> 00:43:53,700 Speaker 4: Majority will pass that. 844 00:43:53,800 --> 00:43:56,100 Speaker 7: But obviously, as long as Trump is in the White House, 845 00:43:56,340 --> 00:43:58,960 Speaker 7: I'm not very optimistic that it would become law. But 846 00:43:59,000 --> 00:44:01,930 Speaker 7: we need to at least lay the groundwork and do 847 00:44:01,989 --> 00:44:04,529 Speaker 7: the work now. And I'm pretty confident we'll do that. 848 00:44:04,710 --> 00:44:09,640 Speaker 1: Brandon Boyle, great to see you. Bobby Polito is a 849 00:44:09,860 --> 00:44:17,759 Speaker 1: singer and the Democratic nominee for Texas's 15th congressional district. Welcome. 850 00:44:17,820 --> 00:44:19,819 Speaker 5: Welcome, Bobby. Hi, Molly. Thank you. 851 00:44:20,120 --> 00:44:22,380 Speaker 1: I'm very excited to have you. Now, I want to 852 00:44:22,420 --> 00:44:25,779 Speaker 1: just preface this. I'd heard about your race. I want 853 00:44:25,820 --> 00:44:29,140 Speaker 1: you first to explain to us the district you're running in, 854 00:44:29,180 --> 00:44:33,620 Speaker 1: because you're kind of famous. You're kind of like a 855 00:44:33,910 --> 00:44:36,969 Speaker 1: dream candidate to run in this district. So explain to 856 00:44:37,090 --> 00:44:40,430 Speaker 1: us what the district is first, and then a little 857 00:44:40,450 --> 00:44:41,489 Speaker 1: bit about your background. 858 00:44:41,910 --> 00:44:43,589 Speaker 5: Well, the district right now, if you were to go 859 00:44:43,630 --> 00:44:46,870 Speaker 5: like do a Google search, you probably wouldn't see this district. 860 00:44:47,290 --> 00:44:49,810 Speaker 5: The one that comes up is the other one that 861 00:44:50,030 --> 00:44:56,009 Speaker 5: was pre-Trump ordering Abbott's gerrymander. So it has changed substantially. 862 00:44:56,450 --> 00:45:01,170 Speaker 5: So before the district covered seven counties. Now it covers 863 00:45:01,170 --> 00:45:03,790 Speaker 5: 11 counties. Yes, I am a singer. 864 00:45:04,750 --> 00:45:07,770 Speaker 1: Wait, first, it's gotten significantly more rad. 865 00:45:08,130 --> 00:45:09,529 Speaker 5: No, not really. 866 00:45:09,550 --> 00:45:10,410 Speaker 1: Okay, talk us through. 867 00:45:10,650 --> 00:45:14,600 Speaker 5: No, the original district, Trump won it by 18 points. 868 00:45:15,239 --> 00:45:18,719 Speaker 5: This district, Trump won it by 17.9 points. Essentially, it's 869 00:45:18,840 --> 00:45:21,840 Speaker 5: pretty much the same color. This was not the district 870 00:45:22,360 --> 00:45:25,520 Speaker 5: that they targeted. People sometimes confuse it. They think that 871 00:45:25,560 --> 00:45:28,469 Speaker 5: this is one of the five. It's not. This is 872 00:45:28,530 --> 00:45:30,000 Speaker 5: one of the ones that they thought they would not 873 00:45:30,040 --> 00:45:33,859 Speaker 5: have to fight. You know, so they thought this was 874 00:45:33,920 --> 00:45:35,200 Speaker 5: a shoe-in district for them. 875 00:45:35,219 --> 00:45:41,109 Speaker 1: How Latino is your district? 80%. Okay. And remember, Donald 876 00:45:41,140 --> 00:45:47,509 Speaker 1: Trump in 2024 made humongous inroads with Latino voters. And 877 00:45:47,550 --> 00:45:49,850 Speaker 1: he thought he would keep those voters, right? 878 00:45:50,170 --> 00:45:51,469 Speaker 5: I would not even put it that way. 879 00:45:51,750 --> 00:45:53,390 Speaker 1: Great. Tell me. 880 00:45:53,890 --> 00:45:56,610 Speaker 5: I don't think he made the inroads. I think it 881 00:45:56,650 --> 00:45:57,690 Speaker 5: was a binary choice. 882 00:45:57,850 --> 00:45:58,089 Speaker 4: Great. 883 00:45:58,370 --> 00:46:01,720 Speaker 5: And people voted for him over the message that Kamala 884 00:46:01,969 --> 00:46:04,680 Speaker 5: was saying, right? I mean, that's just the bottom line. 885 00:46:05,180 --> 00:46:07,640 Speaker 5: That's where the rubber meets the road. Yeah. And so 886 00:46:07,900 --> 00:46:10,660 Speaker 5: I don't really feel like the people aren't as Trumpy. 887 00:46:11,080 --> 00:46:14,080 Speaker 5: It is a conservative district, I will tell you. It 888 00:46:14,140 --> 00:46:18,870 Speaker 5: is definitely very conservative. Especially on the cultural issues. You know, 889 00:46:19,330 --> 00:46:23,910 Speaker 5: the number one ad played during the during the 2024 890 00:46:23,910 --> 00:46:26,589 Speaker 5: election was Kamala's for they them. Trump is for you. 891 00:46:27,290 --> 00:46:31,160 Speaker 5: And they played culture really, really successfully. 892 00:46:31,860 --> 00:46:32,040 Speaker 1: Yes. 893 00:46:32,100 --> 00:46:32,920 Speaker 5: Very effectively. 894 00:46:33,300 --> 00:46:33,540 Speaker 7: Right. 895 00:46:33,739 --> 00:46:34,120 Speaker 5: For sure. 896 00:46:34,500 --> 00:46:34,680 Speaker 7: So. 897 00:46:34,719 --> 00:46:37,680 Speaker 5: So, yes. I mean, is it more conservative than it? Yes. 898 00:46:37,780 --> 00:46:41,279 Speaker 5: It's absolutely conservative because it's very rural. And rural areas 899 00:46:41,300 --> 00:46:42,420 Speaker 5: tend to be very conservative. 900 00:46:42,880 --> 00:46:44,920 Speaker 1: But these are your people. And I'd love you to 901 00:46:45,100 --> 00:46:48,980 Speaker 1: explain to us why they're your people, how they're your people, 902 00:46:49,100 --> 00:46:52,240 Speaker 1: how you got to know these people, and a little 903 00:46:52,260 --> 00:46:54,430 Speaker 1: bit about your relationship with this district. 904 00:46:54,530 --> 00:46:57,969 Speaker 5: It starts even before me, Molly. My father's a very 905 00:46:58,030 --> 00:47:03,569 Speaker 5: famous musician, Tejano musician, Roberto Pulido. And, you know, growing up, 906 00:47:04,170 --> 00:47:08,310 Speaker 5: I actually was raised going to all these Texas towns. 907 00:47:08,880 --> 00:47:09,070 Speaker 7: Right. 908 00:47:09,110 --> 00:47:13,040 Speaker 5: My dad was filling up dance halls for years that 909 00:47:13,160 --> 00:47:14,780 Speaker 5: what is now my district. 910 00:47:14,940 --> 00:47:15,180 Speaker 7: Right. 911 00:47:15,280 --> 00:47:19,380 Speaker 5: So so my dad's 76 years old. Thank God he's 912 00:47:19,400 --> 00:47:22,470 Speaker 5: still with us. And and so a lot of his 913 00:47:22,510 --> 00:47:24,730 Speaker 5: fans are about his age. And guess what? They all vote. 914 00:47:26,010 --> 00:47:29,010 Speaker 5: And so we've made lots of friendships throughout the years 915 00:47:29,090 --> 00:47:32,299 Speaker 5: in these districts. My dad is the person that. his 916 00:47:32,360 --> 00:47:34,029 Speaker 5: way of paying homage to people is he sings at 917 00:47:34,050 --> 00:47:38,049 Speaker 5: their funeral. So my dad always goes to people, takes 918 00:47:38,070 --> 00:47:40,689 Speaker 5: his guitar and he sings at funerals. And people are very, 919 00:47:40,910 --> 00:47:44,650 Speaker 5: he's very beloved. My dad's a very humble man. He 920 00:47:44,670 --> 00:47:48,390 Speaker 5: taught me a lot of those values. And, you know, 921 00:47:48,489 --> 00:47:51,690 Speaker 5: so I've been at this music for 30 years and 922 00:47:51,730 --> 00:47:53,630 Speaker 5: I was lucky enough to have won two Latin Grammys 923 00:47:53,690 --> 00:47:57,040 Speaker 5: and had a successful career in my own right. And so, 924 00:47:57,320 --> 00:48:01,259 Speaker 5: you know, our culture is very, very important to us 925 00:48:01,360 --> 00:48:06,410 Speaker 5: as identities. And that culture is, we're a very unique culture, Molly. 926 00:48:06,469 --> 00:48:11,170 Speaker 5: We sing in Spanish, but the DJs speak in English 927 00:48:11,230 --> 00:48:13,450 Speaker 5: and present the music in English. So it is like 928 00:48:13,550 --> 00:48:18,470 Speaker 5: Spanglish all the way, our culture. On my mother's side, 929 00:48:19,290 --> 00:48:23,850 Speaker 5: I'm eight generation Texan. And we go back even before, 930 00:48:23,870 --> 00:48:28,250 Speaker 5: you know, Texas existed. And so, you know, I feel 931 00:48:28,290 --> 00:48:32,100 Speaker 5: like we have a lot in common I know the people. 932 00:48:32,280 --> 00:48:34,899 Speaker 5: I know the way they think. I know the way they, right? 933 00:48:34,980 --> 00:48:38,340 Speaker 5: I know what works and what doesn't work. And more importantly, 934 00:48:38,380 --> 00:48:40,959 Speaker 5: I've showed up, right? So this is not a type 935 00:48:41,000 --> 00:48:42,760 Speaker 5: of campaign to vote for me because I'm famous. 936 00:48:43,080 --> 00:48:43,640 Speaker 1: Right. 937 00:48:44,080 --> 00:48:47,560 Speaker 5: We've been going to the reddest of red counties and 938 00:48:47,600 --> 00:48:52,980 Speaker 5: making friends and talking to people. And it's the most 939 00:48:53,040 --> 00:48:57,089 Speaker 5: effective way to really campaign. You know, recently you've seen 940 00:48:57,120 --> 00:49:00,489 Speaker 5: a lot of this DSA campaign. resurgence in these big cities. 941 00:49:01,440 --> 00:49:02,839 Speaker 5: And I think a lot of it has to do 942 00:49:02,880 --> 00:49:05,880 Speaker 5: with the fact that they grassroots campaign on the ground 943 00:49:06,480 --> 00:49:07,560 Speaker 5: and they talk to people. 944 00:49:08,060 --> 00:49:08,420 Speaker 3: Right. 945 00:49:08,540 --> 00:49:11,740 Speaker 5: And I think that the Democratic Party, ever since Citizens United, 946 00:49:12,340 --> 00:49:16,250 Speaker 5: really got used to raising money to put commercials on. 947 00:49:16,750 --> 00:49:19,169 Speaker 5: And to me, that's not the most effective way to win. 948 00:49:19,190 --> 00:49:19,549 Speaker 7: Mm hmm. 949 00:49:20,340 --> 00:49:23,239 Speaker 5: Election, right? People want to know the person that they're 950 00:49:23,280 --> 00:49:26,630 Speaker 5: voting for and they don't look at things from the 951 00:49:26,670 --> 00:49:29,510 Speaker 5: dichotomy of, well, it has to be with a litmus 952 00:49:29,550 --> 00:49:32,540 Speaker 5: test of issues. You have to get this, this, this, this. 953 00:49:32,940 --> 00:49:35,100 Speaker 5: A lot of people don't vote that way. They vote 954 00:49:35,160 --> 00:49:37,600 Speaker 5: based on trust. And they vote that they're going to 955 00:49:37,680 --> 00:49:40,580 Speaker 5: trust the person that makes that decision that's in their 956 00:49:40,620 --> 00:49:44,160 Speaker 5: best interest. That's what's down here to me that separates 957 00:49:44,239 --> 00:49:47,810 Speaker 5: us from everywhere else. So, yeah, you know, Social Security 958 00:49:47,830 --> 00:49:49,149 Speaker 5: is incredibly popular here. 959 00:49:49,390 --> 00:49:49,609 Speaker 1: Yeah. 960 00:49:49,870 --> 00:49:52,610 Speaker 5: Right. And it was a social problem FDR put in. 961 00:49:52,670 --> 00:49:52,890 Speaker 4: Right. 962 00:49:52,989 --> 00:49:55,930 Speaker 5: So I don't really like the labels. I think more importantly, 963 00:49:56,840 --> 00:49:59,560 Speaker 5: And more than litmus tests, it's more about the trust. 964 00:50:00,239 --> 00:50:02,020 Speaker 5: And so we've been showing up. We've gone to all 965 00:50:02,040 --> 00:50:05,700 Speaker 5: these red counties even before the primary. People thought like, well, 966 00:50:05,739 --> 00:50:07,100 Speaker 5: in the primary, you're not going to need them. I 967 00:50:07,100 --> 00:50:09,109 Speaker 5: was like, no, but that's not the point. It's not 968 00:50:09,140 --> 00:50:12,030 Speaker 5: about needing. It's not about needing people. It's about meeting 969 00:50:12,070 --> 00:50:15,529 Speaker 5: them early on so they get to know you and 970 00:50:15,550 --> 00:50:19,589 Speaker 5: they trust you. Because my opponent has not done that. Right. 971 00:50:19,630 --> 00:50:21,430 Speaker 5: She didn't even do it when in the other district. 972 00:50:22,370 --> 00:50:25,130 Speaker 5: She's never had an in-person town hall. She's a rubber 973 00:50:25,150 --> 00:50:28,160 Speaker 5: stamp on Trump. At the end of the day, I 974 00:50:28,180 --> 00:50:30,900 Speaker 5: think people also do not want that. They want an 975 00:50:30,980 --> 00:50:34,500 Speaker 5: independent-minded person that looks at the values and represents the 976 00:50:34,540 --> 00:50:37,020 Speaker 5: values of the district. And I think I fit all 977 00:50:37,040 --> 00:50:37,600 Speaker 5: the criteria. 978 00:50:37,700 --> 00:50:43,049 Speaker 1: I'm looking at your polling right now, and you are 979 00:50:43,190 --> 00:50:46,490 Speaker 1: polling like five points ahead in this New York Times 980 00:50:46,570 --> 00:50:51,029 Speaker 1: poll from August. That must feel... kind of amazing. So 981 00:50:51,489 --> 00:50:54,049 Speaker 1: talk me through, like, what does it look like on 982 00:50:54,090 --> 00:50:59,319 Speaker 1: the ground? Because you're in this area that is, I 983 00:50:59,400 --> 00:51:01,720 Speaker 1: think you're in the Rio Grande, right? 984 00:51:01,760 --> 00:51:04,040 Speaker 5: We are definitely on the border, but it goes all 985 00:51:04,060 --> 00:51:07,100 Speaker 5: the way to Gonzales. So it's 308 miles from one 986 00:51:07,160 --> 00:51:09,140 Speaker 5: point of the district all the way to the northern point. 987 00:51:09,830 --> 00:51:12,510 Speaker 5: But I'll tell you this, Molly, it's not just one pole. 988 00:51:12,850 --> 00:51:15,190 Speaker 5: We're running like we're behind. To me, this race is 989 00:51:15,230 --> 00:51:19,549 Speaker 5: a toss-up. We have seen five poles. Every single poll 990 00:51:19,570 --> 00:51:22,270 Speaker 5: has us winning from two to six points, which makes 991 00:51:22,330 --> 00:51:25,510 Speaker 5: us feel good. But polls have gotten it wrong before. 992 00:51:26,150 --> 00:51:30,239 Speaker 5: And we're really not relying on that. To me, if 993 00:51:30,260 --> 00:51:32,580 Speaker 5: you would have told me like last year, early last year, 994 00:51:33,080 --> 00:51:34,859 Speaker 5: that we would be in a toss-up race, I would 995 00:51:34,900 --> 00:51:38,100 Speaker 5: say that's exactly where I'd want to be. And that's 996 00:51:38,140 --> 00:51:41,060 Speaker 5: where I believe we are. And so if you go 997 00:51:41,080 --> 00:51:44,640 Speaker 5: drive the district, even in these northern areas where They 998 00:51:44,960 --> 00:51:50,640 Speaker 5: have usually voted 70% Republican. You'll see our signs on yards. 999 00:51:51,080 --> 00:51:54,790 Speaker 5: You'll see our signs on businesses everywhere. And, you know, 1000 00:51:55,210 --> 00:51:58,170 Speaker 5: consultants normally say, like, signs don't vote, don't spend money there. 1001 00:51:59,050 --> 00:52:01,870 Speaker 5: Here's the thing, right? When somebody's proudly putting a sign 1002 00:52:01,910 --> 00:52:04,880 Speaker 5: on their business or their house, they don't give a 1003 00:52:04,940 --> 00:52:08,560 Speaker 5: shit what people think. They're proudly saying, I support this candidate. 1004 00:52:09,020 --> 00:52:10,380 Speaker 5: And I think that's really powerful. 1005 00:52:10,600 --> 00:52:13,900 Speaker 1: And actually, signs are a big tell. And I wanted 1006 00:52:13,960 --> 00:52:15,900 Speaker 1: to ask you about this because you have this huge 1007 00:52:16,040 --> 00:52:19,779 Speaker 1: rural district that's very Trumpy. One of the things that 1008 00:52:20,140 --> 00:52:24,830 Speaker 1: I have seen just anecdotally, and I'm wondering if you 1009 00:52:25,110 --> 00:52:29,609 Speaker 1: have noticed this too, is less Trump signs, less Trump flags. 1010 00:52:29,810 --> 00:52:33,549 Speaker 5: There's zero Trump signs. I mean, I'm telling you like. 1011 00:52:33,730 --> 00:52:36,430 Speaker 5: And you're on the road. I am on the road. Yep. 1012 00:52:36,469 --> 00:52:38,750 Speaker 5: You don't see them anymore. And I will tell you, 1013 00:52:38,790 --> 00:52:44,219 Speaker 5: in 2024, you saw Trump signs everywhere. You didn't see 1014 00:52:44,580 --> 00:52:48,780 Speaker 5: any Kamala signs. And so I think that's very telling, right? 1015 00:52:48,860 --> 00:52:51,540 Speaker 5: You can tell when you have the support. And so 1016 00:52:51,700 --> 00:52:54,520 Speaker 5: on the ground, I'd be lying if I didn't tell 1017 00:52:54,540 --> 00:52:56,820 Speaker 5: you it doesn't feel like it's more than five points, 1018 00:52:57,260 --> 00:52:58,279 Speaker 5: but I'm not going to go there. 1019 00:52:58,680 --> 00:52:59,779 Speaker 1: It doesn't serve you. 1020 00:52:59,940 --> 00:53:03,310 Speaker 5: Yeah, it doesn't serve you. No, we're campaigning hard. We're 1021 00:53:03,350 --> 00:53:06,550 Speaker 5: working hard and we're taking our message. And more importantly, 1022 00:53:07,170 --> 00:53:09,390 Speaker 5: my message is not a partisan message. 1023 00:53:09,710 --> 00:53:11,950 Speaker 1: Tell me why. Tell me what your message is. 1024 00:53:12,390 --> 00:53:15,330 Speaker 5: I think, Molly, people have become disillusioned with both parties 1025 00:53:16,090 --> 00:53:17,410 Speaker 5: and our polling shows that. 1026 00:53:17,910 --> 00:53:18,069 Speaker 6: Right. 1027 00:53:18,110 --> 00:53:20,300 Speaker 5: So there's lots of people that used to vote Democrat. 1028 00:53:21,060 --> 00:53:24,169 Speaker 5: Then they switched over to Republican. And they're so damn 1029 00:53:24,190 --> 00:53:27,489 Speaker 5: disillusioned that they feel like icky going back to the 1030 00:53:27,530 --> 00:53:30,930 Speaker 5: Democratic Party because they just switched. So they also don't 1031 00:53:30,950 --> 00:53:33,250 Speaker 5: want to seem like they're waffle. So where's the where's 1032 00:53:33,450 --> 00:53:35,710 Speaker 5: kind of where's the point that they actually end up 1033 00:53:35,810 --> 00:53:36,850 Speaker 5: and is in the middle. 1034 00:53:37,310 --> 00:53:37,450 Speaker 1: Right. 1035 00:53:37,469 --> 00:53:39,510 Speaker 5: And they're like, I just want to vote for the candidate. 1036 00:53:39,950 --> 00:53:43,359 Speaker 5: And you saw this in 2024 in Stark County, which 1037 00:53:43,400 --> 00:53:46,840 Speaker 5: everybody brings up where Trump won Stark County. Henry Cuad 1038 00:53:46,860 --> 00:53:50,279 Speaker 5: was on that same ballot. Henry Cuad won by a 1039 00:53:50,380 --> 00:53:55,589 Speaker 5: larger margin than Trump won Stark County. People there are conservative. 1040 00:53:55,910 --> 00:53:59,360 Speaker 5: Henry happens to be a conservative Democrat, but they're still Democrat. 1041 00:53:59,840 --> 00:54:01,540 Speaker 5: But you've got to give them a good candidate that 1042 00:54:01,580 --> 00:54:02,460 Speaker 5: resonates with them. 1043 00:54:02,580 --> 00:54:05,700 Speaker 1: For sure. I want you to tell me what voters, 1044 00:54:05,739 --> 00:54:11,390 Speaker 1: since you're talking to these very specific kind of voters 1045 00:54:11,450 --> 00:54:17,009 Speaker 1: who are Texas voters, who are socially pretty conservative, but 1046 00:54:17,030 --> 00:54:20,830 Speaker 1: they're Democrats. And, you know, socially conservative can mean any 1047 00:54:21,030 --> 00:54:23,629 Speaker 1: kind of thing, but mostly I would assume a lot 1048 00:54:23,670 --> 00:54:26,689 Speaker 1: of them are Catholic voters. or religious. And so there's 1049 00:54:26,739 --> 00:54:31,080 Speaker 1: certain tenets that come with that religion that are what 1050 00:54:31,120 --> 00:54:33,500 Speaker 1: they are. So I wonder if you could talk us 1051 00:54:33,540 --> 00:54:35,580 Speaker 1: through what's important to these voters. 1052 00:54:36,300 --> 00:54:39,620 Speaker 5: Again, I'll tell you, they're not as offended by, I guess, 1053 00:54:39,780 --> 00:54:41,750 Speaker 5: more liberal economic policies. 1054 00:54:42,090 --> 00:54:45,250 Speaker 1: What are the focuses that they have, like affordability? 1055 00:54:45,370 --> 00:54:50,509 Speaker 5: Economic, economic, Molly. Look, I'm going to tell you why. Hispanics, traditionally, 1056 00:54:50,570 --> 00:54:53,640 Speaker 5: especially in this area, we all come from very humble beginnings. 1057 00:54:54,170 --> 00:54:56,290 Speaker 5: We don't have generational wealth. We don't. 1058 00:54:56,950 --> 00:54:57,169 Speaker 7: Right. 1059 00:54:57,310 --> 00:55:02,190 Speaker 5: So the thing that really resonates with us is economic aspiration. 1060 00:55:02,270 --> 00:55:02,450 Speaker 7: Right. 1061 00:55:02,530 --> 00:55:05,090 Speaker 5: I mean, it's just one of I think as a 1062 00:55:05,110 --> 00:55:09,630 Speaker 5: Hispanic that really I think one of the stereotypes that 1063 00:55:09,650 --> 00:55:13,250 Speaker 5: fits as well is really hardworking. You'll never hear anybody 1064 00:55:13,310 --> 00:55:16,190 Speaker 5: talk about a Hispanic being like, oh, he's a lazy. No, 1065 00:55:16,590 --> 00:55:19,410 Speaker 5: we're pretty much as a people. We're very hardworking. That's 1066 00:55:19,430 --> 00:55:21,930 Speaker 5: kind of our basic tenet. Right. And when we work 1067 00:55:21,950 --> 00:55:25,420 Speaker 5: really hard and we're not getting anywhere. It pisses us off. 1068 00:55:25,719 --> 00:55:28,310 Speaker 1: So talk me through, like, since you're on the border, 1069 00:55:28,330 --> 00:55:31,390 Speaker 1: the Trump administration says that there's not many people coming 1070 00:55:31,430 --> 00:55:33,890 Speaker 1: over the border. Are there not many people coming over 1071 00:55:33,930 --> 00:55:37,180 Speaker 1: the border? And if so, what is it like there? 1072 00:55:37,500 --> 00:55:40,759 Speaker 5: It's dropped down substantially. And I'll tell you, people down 1073 00:55:40,800 --> 00:55:44,410 Speaker 5: here are for a secure border. Absolutely. Nobody here is like, 1074 00:55:45,100 --> 00:55:47,540 Speaker 5: Open the borders and let everybody come in. Nobody thinks 1075 00:55:47,580 --> 00:55:50,880 Speaker 5: that way. Now, what they don't like are the aggressive 1076 00:55:51,120 --> 00:55:54,000 Speaker 5: ICE policies that are going on here in the Rio 1077 00:55:54,020 --> 00:55:58,160 Speaker 5: Grande Valley. They have decimated the construction industry down here. 1078 00:55:58,500 --> 00:56:03,219 Speaker 5: And here's the ironic thing, is they double down on it. Listen, 1079 00:56:03,450 --> 00:56:06,630 Speaker 5: they do not care. It's pretty ironic and sad at 1080 00:56:06,670 --> 00:56:09,150 Speaker 5: the same time that Monica de la Cruz is a 1081 00:56:09,350 --> 00:56:12,469 Speaker 5: big Trump or MAGA Monica, right? Whatever. She's going to 1082 00:56:12,510 --> 00:56:16,710 Speaker 5: be at the convention. rubber stamp, whatever Trump wants. And 1083 00:56:16,750 --> 00:56:19,570 Speaker 5: the irony in all of this is they are literally 1084 00:56:19,610 --> 00:56:22,549 Speaker 5: doing things to hurt her every single day. And she 1085 00:56:22,570 --> 00:56:25,049 Speaker 5: just stays quiet. Because like the majority of the people 1086 00:56:25,070 --> 00:56:28,469 Speaker 5: down here, the business owners are small business owners. Small 1087 00:56:28,510 --> 00:56:32,239 Speaker 5: businesses are suffering right now because of tariffs. She remains quiet. 1088 00:56:32,800 --> 00:56:34,839 Speaker 5: They're suffering because of these ICE raids and they can't 1089 00:56:34,860 --> 00:56:38,600 Speaker 5: find a workforce. She remains quiet. You know, she goes 1090 00:56:38,680 --> 00:56:42,759 Speaker 5: and Trump goes and belittles the Pope and assaults the Pope. 1091 00:56:43,080 --> 00:56:46,359 Speaker 5: She's quiet. People down here want somebody that will stand 1092 00:56:46,400 --> 00:56:48,820 Speaker 5: up for them, irrespective of the party. 1093 00:56:49,100 --> 00:56:52,040 Speaker 1: I want you to explain to us what it's like 1094 00:56:52,060 --> 00:56:55,360 Speaker 1: right now, what ICE is doing in your area, because 1095 00:56:55,780 --> 00:56:58,029 Speaker 1: they're very active, right? 1096 00:56:58,280 --> 00:57:01,670 Speaker 5: Super active. I mean, listen, it's pissing people off on 1097 00:57:01,930 --> 00:57:07,569 Speaker 5: so many levels. Let's start with the number one important thing. Humanitarian-wise, 1098 00:57:08,150 --> 00:57:11,410 Speaker 5: it's terrible, Molly. I have a friend of mine. That 1099 00:57:11,469 --> 00:57:14,989 Speaker 5: is eight generation. His family's been here since, like my 1100 00:57:15,050 --> 00:57:20,320 Speaker 5: mother's family, before Texas even existed, right? This guy, and 1101 00:57:20,360 --> 00:57:24,120 Speaker 5: he's Republican, I might add, okay? Voted three times for Trump. 1102 00:57:24,700 --> 00:57:28,200 Speaker 5: I was there years ago when he first met his wife. 1103 00:57:28,500 --> 00:57:32,200 Speaker 5: His wife is Mexican. He has an eight-year-old daughter. There's 1104 00:57:32,260 --> 00:57:35,540 Speaker 5: a technicality that happened when he tried to go get 1105 00:57:35,600 --> 00:57:40,010 Speaker 5: her to be a citizen. And since ICE now is really, 1106 00:57:40,120 --> 00:57:43,330 Speaker 5: actually the whole immigration system, it's not, they're not like 1107 00:57:43,630 --> 00:57:46,950 Speaker 5: judges that are impartial. They're actually, they serve at the 1108 00:57:46,990 --> 00:57:49,430 Speaker 5: pleasure of the DOJ and the DOJ serves at the 1109 00:57:49,470 --> 00:57:53,169 Speaker 5: pleasure of the president. They're deporting his wife. Guess what? 1110 00:57:53,190 --> 00:57:56,830 Speaker 5: He's 65 years old. I might add, he's very well off. 1111 00:57:57,500 --> 00:58:00,260 Speaker 5: And he's going to have to move with his wife 1112 00:58:00,680 --> 00:58:04,890 Speaker 5: and his American daughter to a foreign country because of 1113 00:58:04,930 --> 00:58:09,430 Speaker 5: these stupid immigration policies that this government has happened. This 1114 00:58:09,510 --> 00:58:12,870 Speaker 5: is something that they're not realizing how much they're hurting 1115 00:58:12,890 --> 00:58:17,910 Speaker 5: our economy, how much they're hurting families. Like my buddy 1116 00:58:17,930 --> 00:58:20,270 Speaker 5: tells me, I'm 65, Bobby. They're going to give her 1117 00:58:20,310 --> 00:58:24,780 Speaker 5: a 10-year sentence. He goes, essentially, they're also making sure 1118 00:58:24,820 --> 00:58:26,620 Speaker 5: that I'm going to probably die in a foreign country, 1119 00:58:27,000 --> 00:58:31,660 Speaker 5: not in my own country, right? And so... humanitarian wise, 1120 00:58:32,060 --> 00:58:35,430 Speaker 5: it's terrible. And then you go talk about economic as well. 1121 00:58:35,810 --> 00:58:39,790 Speaker 5: Like it sucks all the way around. And I just, 1122 00:58:40,700 --> 00:58:44,240 Speaker 5: it's terrible because I feel like The whole immigration thing 1123 00:58:44,320 --> 00:58:47,120 Speaker 5: has been a political football that both sides have not 1124 00:58:47,160 --> 00:58:49,260 Speaker 5: really made it a priority to fix. 1125 00:58:49,800 --> 00:58:50,080 Speaker 3: Yeah. 1126 00:58:50,320 --> 00:58:54,460 Speaker 1: No, it's terrible. And also then there's the house building issue. 1127 00:58:54,500 --> 00:58:56,340 Speaker 1: Will you talk about the house building issue? 1128 00:58:56,530 --> 00:58:59,350 Speaker 5: Of course. Well, I mean, recently you saw them pass 1129 00:58:59,410 --> 00:59:04,990 Speaker 5: a really strong bipartisan bill that Trump refused to sign. 1130 00:59:05,030 --> 00:59:07,770 Speaker 5: And then after 10 days, it went in there. Guess what? 1131 00:59:08,010 --> 00:59:11,050 Speaker 5: That doesn't mean diddly squat. if you don't have people 1132 00:59:11,090 --> 00:59:13,730 Speaker 5: to build a house. Here in the Rio Grande Valley, 1133 00:59:13,750 --> 00:59:17,650 Speaker 5: there's not a house that was not built without immigrant hands. 1134 00:59:17,870 --> 00:59:21,050 Speaker 5: I don't care which building, doesn't matter. So for like 1135 00:59:21,260 --> 00:59:24,680 Speaker 5: many 40, 50 years, I mean, since we've been around, 1136 00:59:25,590 --> 00:59:28,760 Speaker 5: you've had immigrants building these houses and building buildings and 1137 00:59:28,780 --> 00:59:31,790 Speaker 5: building all this stuff. And then the Trump administration comes 1138 00:59:32,670 --> 00:59:34,950 Speaker 5: out of the blue and just says, well, we're going 1139 00:59:34,970 --> 00:59:37,230 Speaker 5: to get rid of everybody and all the undocumented people. 1140 00:59:37,650 --> 00:59:39,169 Speaker 5: And all of a sudden, everything's going to get better. 1141 00:59:39,430 --> 00:59:44,130 Speaker 5: Guess what? It's not. Because if you do not, you know, 1142 00:59:44,150 --> 00:59:46,590 Speaker 5: you saw it with abundance. If you don't have any 1143 00:59:46,630 --> 00:59:49,270 Speaker 5: building because you don't have a labor force or because 1144 00:59:49,290 --> 00:59:52,610 Speaker 5: there's too much regulation, things are going to get more expensive. 1145 00:59:53,190 --> 00:59:55,720 Speaker 5: The Rio Grande Valley is the lowest per capita income 1146 00:59:55,780 --> 01:00:01,030 Speaker 5: in the state. Fifty two thousand dollars median household income. Right. 1147 01:00:01,330 --> 01:00:03,470 Speaker 5: We do not make a lot of money. And when 1148 01:00:03,510 --> 01:00:06,550 Speaker 5: you make things more expensive, you're messing with our livelihoods. 1149 01:00:07,330 --> 01:00:10,450 Speaker 5: And and and this is something that that I think 1150 01:00:11,220 --> 01:00:14,120 Speaker 5: has been the focus of what is our of our message. Right. 1151 01:00:15,520 --> 01:00:20,540 Speaker 5: I represent this district, Molly, to a T. And I 1152 01:00:20,580 --> 01:00:23,790 Speaker 5: believe that I'll fight for that and fight for for 1153 01:00:23,830 --> 01:00:24,660 Speaker 5: what's right for us. 1154 01:00:25,840 --> 01:00:28,940 Speaker 1: Are you still doing music? Are you still performing, too? 1155 01:00:29,260 --> 01:00:32,420 Speaker 5: You know, I just I have I think I think 1156 01:00:32,460 --> 01:00:36,540 Speaker 5: I got two more concerts to do. Yeah, I was 1157 01:00:36,580 --> 01:00:41,140 Speaker 5: recently this past weekend in Fort Myers, Florida, for a concert. Right. 1158 01:00:41,820 --> 01:00:43,520 Speaker 5: And I'll tell you, man, they're really mad about the 1159 01:00:43,540 --> 01:00:44,260 Speaker 5: immigration thing. 1160 01:00:44,320 --> 01:00:44,400 Speaker 7: It's. 1161 01:00:44,840 --> 01:00:47,459 Speaker 5: It's affected the whole economy. I was in there, Florida, too. 1162 01:00:48,020 --> 01:00:51,560 Speaker 5: And it's something that's really, really affecting businesses. 1163 01:00:51,920 --> 01:00:54,600 Speaker 1: It's the ice stuff. And then it's the people who 1164 01:00:54,660 --> 01:00:56,310 Speaker 1: are scared to go out, right? 1165 01:00:56,630 --> 01:01:00,210 Speaker 5: Well, yeah. Any society that's paralyzed and living in fear 1166 01:01:00,370 --> 01:01:03,490 Speaker 5: cannot function properly. And that's where we are right now. 1167 01:01:03,530 --> 01:01:06,290 Speaker 5: There's people afraid to go to the grocery stores. They're 1168 01:01:06,310 --> 01:01:10,140 Speaker 5: stopping people at the corner stores to sell tacos, you know, 1169 01:01:10,160 --> 01:01:12,500 Speaker 5: where they go get those tacos before they go work. 1170 01:01:13,140 --> 01:01:15,720 Speaker 5: And they're parked out there just trying to get people. 1171 01:01:15,860 --> 01:01:18,120 Speaker 5: I mean, and I think we had an increase of 1172 01:01:18,180 --> 01:01:23,530 Speaker 5: like seven hundred and thirty eight percent of habeas corpus petitions, 1173 01:01:23,550 --> 01:01:27,550 Speaker 5: you know, of challenges. It's crazy. They have gone into 1174 01:01:27,610 --> 01:01:32,330 Speaker 5: houses violating Fourth Amendment principles of just without a search warrant, 1175 01:01:32,730 --> 01:01:34,870 Speaker 5: just going in there and pulling people out of their houses. 1176 01:01:35,410 --> 01:01:37,830 Speaker 5: It's really a terrible time. And I'll tell you, you know, 1177 01:01:38,290 --> 01:01:41,150 Speaker 5: I saw the governor of Texas fold on many things. 1178 01:01:41,490 --> 01:01:44,650 Speaker 5: He folded on data centers, moratorium. He's folded on a 1179 01:01:44,670 --> 01:01:47,950 Speaker 5: lot of things. The one thing he refuses to fold 1180 01:01:48,090 --> 01:01:52,130 Speaker 5: on is they're using the state police to stop people 1181 01:01:52,170 --> 01:01:54,300 Speaker 5: and then call ICE to get them. And how else 1182 01:01:54,340 --> 01:01:56,340 Speaker 5: can we not see that as an attack on our people? 1183 01:01:56,740 --> 01:01:59,340 Speaker 5: I've been really hesitant to get hyperbolic when it comes 1184 01:01:59,380 --> 01:02:01,580 Speaker 5: to that, but they leave us no option but to 1185 01:02:01,640 --> 01:02:05,380 Speaker 5: think that. I mean, it's just it's really a hunting 1186 01:02:05,420 --> 01:02:07,260 Speaker 5: season on Latinos. 1187 01:02:07,460 --> 01:02:11,120 Speaker 1: Bobby, thank you. Thank you. Thank you for coming on. Really. 1188 01:02:11,560 --> 01:02:13,740 Speaker 1: So I'm so glad to get to talk to you. 1189 01:02:13,800 --> 01:02:14,510 Speaker 1: It's very cool. 1190 01:02:14,590 --> 01:02:17,330 Speaker 5: I appreciate that. Yeah. I'm glad we can make it work. Oh, 1191 01:02:17,590 --> 01:02:19,410 Speaker 5: and I'm going to add, we're doing really good on 1192 01:02:19,450 --> 01:02:22,630 Speaker 5: our fundraising. We outraced my, but you can donate to 1193 01:02:22,650 --> 01:02:25,550 Speaker 5: our campaign at BobbyDepulidoForTexas.com. 1194 01:02:26,010 --> 01:02:26,490 Speaker 1: Thank you. 1195 01:02:28,510 --> 01:02:31,209 Speaker 3: And now your moment of suffering. 1196 01:02:31,790 --> 01:02:32,960 Speaker 1: Jesse Cannon. 1197 01:02:33,260 --> 01:02:36,140 Speaker 2: My Jungfast, so would you be shocked if I told 1198 01:02:36,180 --> 01:02:40,350 Speaker 2: you that the Trump administration... Use the U.S. Census to 1199 01:02:40,410 --> 01:02:42,790 Speaker 2: come to false conclusions with the data. 1200 01:02:42,990 --> 01:02:45,250 Speaker 1: I would not at all be shocked. I would be 1201 01:02:45,530 --> 01:02:50,850 Speaker 1: completely sure that that was exactly right. By the way, 1202 01:02:50,870 --> 01:02:53,730 Speaker 1: a report published by the U.S. Census Bureau last month 1203 01:02:53,870 --> 01:02:57,470 Speaker 1: purported to uncover evidence backing of Trump's baseless claims that 1204 01:02:57,530 --> 01:03:01,680 Speaker 1: non-citizen voting cost him the 2020 election. But you know what? 1205 01:03:01,940 --> 01:03:06,400 Speaker 1: It wasn't true. Just like we had Bill Barr saying 1206 01:03:06,440 --> 01:03:10,620 Speaker 1: that Trump was exonerated by the Mueller report. We have this. 1207 01:03:10,860 --> 01:03:14,330 Speaker 1: And Trump and other government officials quickly shared and praised 1208 01:03:14,350 --> 01:03:17,189 Speaker 1: the report. Because a report that good, you don't need 1209 01:03:17,230 --> 01:03:20,210 Speaker 1: to read. And the idea is if you can spin 1210 01:03:20,270 --> 01:03:22,320 Speaker 1: what's in the report, no one will ever read it. 1211 01:03:22,370 --> 01:03:25,080 Speaker 1: So it's not your problem. And that is how we 1212 01:03:25,100 --> 01:03:28,880 Speaker 1: got here. So this is how they're going to deal 1213 01:03:28,980 --> 01:03:32,200 Speaker 1: with facts that don't care about their feelings is by 1214 01:03:32,260 --> 01:03:35,930 Speaker 1: lying about them. And that, my friends, is your moment 1215 01:03:35,950 --> 01:03:40,680 Speaker 1: of fuckery. That's it for this episode of Fast Politics. 1216 01:03:41,140 --> 01:03:47,040 Speaker 1: Tune in every Monday, Wednesday, Thursday and Saturday to hear 1217 01:03:47,060 --> 01:03:51,420 Speaker 1: the best minds in politics make sense of all this chaos. 1218 01:03:51,900 --> 01:03:54,620 Speaker 1: If you enjoy this podcast, please send it to a 1219 01:03:54,700 --> 01:03:58,680 Speaker 1: friend and keep the conversation going. Thanks for listening.