1 00:00:00,710 --> 00:00:04,240 Speaker 1: Hello, welcome to Fast Politics. I'm Molly Jongfast. We have 2 00:00:04,260 --> 00:00:06,660 Speaker 1: a great show for you today. Later in the show, 3 00:00:06,720 --> 00:00:11,080 Speaker 1: we'll talk to Representative Jason Crow about Pete Hegseth's madness. 4 00:00:11,500 --> 00:00:16,090 Speaker 1: But first, we have MSNOW's Lawrence O'Donnell on the historic 5 00:00:16,150 --> 00:00:18,250 Speaker 1: signs he's seeing in the midterms. 6 00:00:18,790 --> 00:00:20,450 Speaker 2: Welcome, welcome, Lawrence. 7 00:00:20,989 --> 00:00:22,340 Speaker 3: This is great. Great to be here. 8 00:00:23,290 --> 00:00:25,209 Speaker 1: Great to have you. I feel like this is a 9 00:00:25,230 --> 00:00:29,910 Speaker 1: midterm that we will refer back to because of just 10 00:00:29,970 --> 00:00:32,650 Speaker 1: the way it's changed the map already and the way 11 00:00:32,710 --> 00:00:38,650 Speaker 1: we see Republicans spending in states like Nebraska. But does 12 00:00:38,690 --> 00:00:40,690 Speaker 1: it remind you of previous cycles? 13 00:00:41,310 --> 00:00:44,470 Speaker 3: You know, I just want to remind the kids a 14 00:00:44,530 --> 00:00:49,970 Speaker 3: couple of things. When I hear the word Nebraska, you know, 15 00:00:49,990 --> 00:00:54,520 Speaker 3: I'm not 100 years old, okay? But When I worked 16 00:00:55,540 --> 00:00:59,580 Speaker 3: in the United States Senate in midlife, there were two 17 00:01:00,000 --> 00:01:08,890 Speaker 3: Democratic senators from Nebraska. Two, okay? So there's, you know, 18 00:01:09,209 --> 00:01:14,790 Speaker 3: what is fun is Kansas, right? Because it's literally 94 years. 19 00:01:15,030 --> 00:01:18,160 Speaker 3: I mean, it's 94 years since a Democrat has won 20 00:01:18,720 --> 00:01:21,979 Speaker 3: a Senate seat. uh, in Kansas. And so I don't 21 00:01:22,060 --> 00:01:27,060 Speaker 3: remember that. Okay. I do not remember a democratic Senator 22 00:01:27,580 --> 00:01:30,000 Speaker 3: in Kansas. And so that to me is the one, 23 00:01:30,600 --> 00:01:33,600 Speaker 3: you know, that you really use to say, wow, you know, 24 00:01:33,700 --> 00:01:37,790 Speaker 3: something really big, uh, has happened here. And the huge 25 00:01:37,850 --> 00:01:40,910 Speaker 3: thing that's happened here is the Republicans have simply, uh, 26 00:01:41,190 --> 00:01:45,670 Speaker 3: kicked away support. Now, Donald Trump being, you know, the 27 00:01:45,790 --> 00:01:49,770 Speaker 3: stupidest person ever allowed or a microphone, uh, in the 28 00:01:49,810 --> 00:01:52,440 Speaker 3: United States. I can't speak for the world, but I 29 00:01:52,470 --> 00:01:55,860 Speaker 3: haven't heard anyone stupid or clean in literally in history. 30 00:01:56,160 --> 00:02:00,820 Speaker 3: And he does, he has never understood how to appeal 31 00:02:01,000 --> 00:02:04,900 Speaker 3: to people who don't already love him. The vulgarity, the 32 00:02:04,920 --> 00:02:08,730 Speaker 3: stupidity and all of that, um, it doesn't pick out 33 00:02:08,970 --> 00:02:11,610 Speaker 3: a single voter. It's why Donald Trump has never won, 34 00:02:11,889 --> 00:02:15,690 Speaker 3: you know, a majority vote, you know, and, uh, He's 35 00:02:15,730 --> 00:02:19,410 Speaker 3: never won 51%. And when he got elected the first time, 36 00:02:19,490 --> 00:02:23,870 Speaker 3: the only thing to watch when someone wins the presidency 37 00:02:24,389 --> 00:02:26,850 Speaker 3: is how quickly they begin speaking to the people who 38 00:02:26,889 --> 00:02:30,910 Speaker 3: didn't vote for them. And most of the winners begin 39 00:02:30,970 --> 00:02:34,690 Speaker 3: speaking to those people in their victory speech. Most of them. 40 00:02:35,669 --> 00:02:38,710 Speaker 3: Trump never has to this day spoken to the people 41 00:02:38,730 --> 00:02:42,010 Speaker 3: who didn't vote for him. And that's a disastrous approach 42 00:02:42,270 --> 00:02:47,730 Speaker 3: to politics. And so... The crazy party that went along 43 00:02:47,810 --> 00:02:51,050 Speaker 3: with him in the Senate and the House is now 44 00:02:51,150 --> 00:02:56,250 Speaker 3: paying the price for that. Most of them were not 45 00:02:56,790 --> 00:03:00,980 Speaker 3: as crazy and audacious as Trump and actively trying to 46 00:03:01,080 --> 00:03:04,240 Speaker 3: offend the people who didn't vote for them. But they, 47 00:03:04,760 --> 00:03:07,339 Speaker 3: because they've been living in the bind of Trump, have 48 00:03:07,400 --> 00:03:09,640 Speaker 3: never figured out a way to talk to people who 49 00:03:09,660 --> 00:03:13,450 Speaker 3: didn't vote for them, you know, ever, you know. Um, and, 50 00:03:13,790 --> 00:03:15,989 Speaker 3: and so that's what you need, you know, when you're 51 00:03:16,030 --> 00:03:19,120 Speaker 3: trying to hold on to this, you know, and, uh, 52 00:03:19,750 --> 00:03:24,459 Speaker 3: and so, you know, it's an, it's a Trump inheritance that, uh, 53 00:03:25,040 --> 00:03:29,480 Speaker 3: you know, that these people have all functionally found themselves 54 00:03:29,520 --> 00:03:32,780 Speaker 3: in the same spot of never having said anything, you know, 55 00:03:32,900 --> 00:03:35,810 Speaker 3: to a Democrat or an independent in their state who 56 00:03:35,830 --> 00:03:39,210 Speaker 3: didn't vote for them. Right. That makes them interesting to them. 57 00:03:39,330 --> 00:03:41,310 Speaker 3: I would say the only person who's ever kind of 58 00:03:41,610 --> 00:03:44,810 Speaker 3: played with that at all is Susan Collins. You know, 59 00:03:44,830 --> 00:03:47,410 Speaker 3: if you watch what she would do, you know, when 60 00:03:47,450 --> 00:03:49,290 Speaker 3: she would win in Maine, she knew she was lucky. 61 00:03:49,630 --> 00:03:52,070 Speaker 3: You know, she knew Ed Muskie came before her. She 62 00:03:52,110 --> 00:03:54,500 Speaker 3: knew George Mitchell came before her. She knew she was 63 00:03:54,620 --> 00:03:57,280 Speaker 3: lucky as a Republican to win in Maine. You could 64 00:03:57,340 --> 00:04:00,760 Speaker 3: not take winning for granted there. And so she always 65 00:04:01,300 --> 00:04:07,240 Speaker 3: found a way of talking to people, you know, Democrat. 66 00:04:07,560 --> 00:04:10,920 Speaker 3: So there's a Maine voter, okay, and there's a lot 67 00:04:10,960 --> 00:04:15,260 Speaker 3: of them. you know, who voted for Susan Collins and 68 00:04:15,360 --> 00:04:16,680 Speaker 3: voted for Kamala Harris. 69 00:04:17,020 --> 00:04:17,600 Speaker 4: Yeah. Right. 70 00:04:17,740 --> 00:04:18,820 Speaker 3: That's a main voter. 71 00:04:19,000 --> 00:04:19,300 Speaker 5: All right. 72 00:04:20,260 --> 00:04:24,200 Speaker 3: And, um, that's not, that's not a Kansas voter. Like 73 00:04:24,240 --> 00:04:28,260 Speaker 3: there's no one in Kansas who voted for Kamala Harris, 74 00:04:28,310 --> 00:04:31,430 Speaker 3: who also voted for Republicans, you know? And so, uh, 75 00:04:31,610 --> 00:04:33,849 Speaker 3: so Susan Collins is maybe your only model for that. 76 00:04:34,010 --> 00:04:37,650 Speaker 3: And it may be very likely that, That doesn't get 77 00:04:37,690 --> 00:04:41,410 Speaker 3: her anywhere now when it comes to the finish line, 78 00:04:41,670 --> 00:04:47,359 Speaker 3: because people in Maine are saying, finally, I think people 79 00:04:47,400 --> 00:04:51,800 Speaker 3: understand that the single most important vote that a senator 80 00:04:51,880 --> 00:04:56,000 Speaker 3: casts is the first vote. And I, for one, as 81 00:04:56,080 --> 00:04:59,930 Speaker 3: a former Senate professional, really, I don't really care about 82 00:04:59,970 --> 00:05:02,830 Speaker 3: any vote you cast after that. I want you to 83 00:05:02,870 --> 00:05:04,909 Speaker 3: cast all the rest of the votes for our side, 84 00:05:04,990 --> 00:05:08,470 Speaker 3: but if you don't, That's okay. That first vote is 85 00:05:08,510 --> 00:05:11,630 Speaker 3: the vote you cast. It's one vote. Okay. It's one 86 00:05:11,770 --> 00:05:14,890 Speaker 3: in one vote on the Senate floor. It is a, 87 00:05:15,570 --> 00:05:19,770 Speaker 3: a vote to organize the Senate. And the vote is 88 00:05:19,850 --> 00:05:22,529 Speaker 3: for the majority leader of the Senate. And it is 89 00:05:22,550 --> 00:05:26,909 Speaker 3: for the chair of every Senate committee. That's what that 90 00:05:26,970 --> 00:05:30,290 Speaker 3: vote is. Okay. And John Fetterman, as much as people 91 00:05:30,350 --> 00:05:33,770 Speaker 3: want to say, oh, he's not a Democrat. He's awful. 92 00:05:33,790 --> 00:05:37,950 Speaker 3: He's terrible. John Fetterman voted for Chuck Schumer to be 93 00:05:38,490 --> 00:05:41,550 Speaker 3: the leader. He did not vote for John Thune, okay? 94 00:05:41,630 --> 00:05:44,020 Speaker 3: And he voted for Democrats to be chairs of all 95 00:05:44,060 --> 00:05:48,300 Speaker 3: those committees. And that is called controlling the Senate. And 96 00:05:48,380 --> 00:05:53,820 Speaker 3: so anybody who votes for control of the Senate has 97 00:05:53,920 --> 00:05:56,770 Speaker 3: given you the biggest gift they can give you. And 98 00:05:56,990 --> 00:06:01,289 Speaker 3: after that, it's their own state politics that determine generally 99 00:06:01,450 --> 00:06:04,190 Speaker 3: what else they can vote for you on. And now 100 00:06:04,250 --> 00:06:07,410 Speaker 3: it's very, very common for a Democratic senator to vote 101 00:06:07,589 --> 00:06:11,599 Speaker 3: with the party over 95% of the time. That's fairly new, 102 00:06:11,940 --> 00:06:13,880 Speaker 3: by the way. I mean, that's something that happened within 103 00:06:13,940 --> 00:06:18,360 Speaker 3: our lifetimes. It used to be, you know, a party 104 00:06:18,420 --> 00:06:22,619 Speaker 3: line voting would occur about maybe 60, 65% of the time. And, 105 00:06:23,160 --> 00:06:27,240 Speaker 3: you know, the Democratic senators from Nebraska, for example, would 106 00:06:27,300 --> 00:06:31,180 Speaker 3: not be joining the Democratic senators from California on it, 107 00:06:31,620 --> 00:06:36,980 Speaker 3: you know. And so this is one where you'll remember 108 00:06:37,020 --> 00:06:41,980 Speaker 3: this one, I think, for some period of time, only 109 00:06:42,020 --> 00:06:45,100 Speaker 3: if the Democrats win by a lot, you know, because 110 00:06:45,580 --> 00:06:49,700 Speaker 3: they've won midterm elections against Trump before and people already 111 00:06:49,760 --> 00:06:54,419 Speaker 3: sort of forget it. It's like, it's not, you know, 112 00:06:54,460 --> 00:06:58,400 Speaker 3: it's not a lasting sensation, you know, unless it really 113 00:06:58,520 --> 00:07:00,460 Speaker 3: is a giant thing, unless you're You know, if you 114 00:07:00,480 --> 00:07:04,880 Speaker 3: get Kansas and that kind of stuff happens. then it's 115 00:07:05,000 --> 00:07:07,789 Speaker 3: going to have a very, very powerful effect. 116 00:07:07,940 --> 00:07:10,390 Speaker 1: Because part of what's happening here is we have an 117 00:07:10,430 --> 00:07:13,530 Speaker 1: electorate that's furious, right? They're mad at Democrats, but they're 118 00:07:13,690 --> 00:07:16,490 Speaker 1: furious with Republicans. And they're mad at Congress for not 119 00:07:16,510 --> 00:07:19,510 Speaker 1: doing their job, not running a check on a powerful, 120 00:07:19,750 --> 00:07:24,340 Speaker 1: out-of-control incumbent who did things that were pretty much beyond 121 00:07:24,380 --> 00:07:28,980 Speaker 1: the pale. I wonder if, you know, what we're seeing here, right, 122 00:07:29,060 --> 00:07:32,110 Speaker 1: is the Susan Collins, the case against Susan Collins is 123 00:07:32,140 --> 00:07:35,930 Speaker 1: that when she voted against Trump, it was because Trump 124 00:07:35,970 --> 00:07:38,970 Speaker 1: had enough votes to do what he wanted anyway. 125 00:07:39,450 --> 00:07:42,190 Speaker 3: Yeah, I mean, my personal, my case against Susan Collins 126 00:07:42,250 --> 00:07:45,000 Speaker 3: is her first vote. You know, she votes for the 127 00:07:45,040 --> 00:07:48,260 Speaker 3: Republicans to control the Senate. And anything she does after 128 00:07:48,300 --> 00:07:50,920 Speaker 3: that doesn't matter. That's why once you say, well, I'm 129 00:07:50,960 --> 00:07:52,880 Speaker 3: going to vote for the Republicans to control the Senate, 130 00:07:53,240 --> 00:07:56,180 Speaker 3: then you are voting for the Republicans to control Supreme 131 00:07:56,240 --> 00:07:59,510 Speaker 3: Court appointments. And it does not matter what your particular 132 00:07:59,550 --> 00:08:02,290 Speaker 3: vote on the Supreme Court was. Right. So I don't 133 00:08:02,370 --> 00:08:05,170 Speaker 3: care whether you voted for Kavanaugh or not. I really don't. 134 00:08:05,330 --> 00:08:09,820 Speaker 3: You know, it's, you know, my case against you is 135 00:08:09,860 --> 00:08:12,640 Speaker 3: that you voted for the Republicans to control the Senate, 136 00:08:12,720 --> 00:08:12,980 Speaker 3: you know? 137 00:08:13,200 --> 00:08:13,560 Speaker 1: Right. 138 00:08:13,840 --> 00:08:17,780 Speaker 3: And so, you know, and if they didn't, if the 139 00:08:17,800 --> 00:08:20,320 Speaker 3: Republicans didn't control the Senate, you know, Kavanaugh would not 140 00:08:20,380 --> 00:08:23,010 Speaker 3: be a Supreme Court justice. That's the thing that's never 141 00:08:23,090 --> 00:08:25,530 Speaker 3: really gotten through to people. You know, people in Maine 142 00:08:25,710 --> 00:08:29,190 Speaker 3: never quite, I don't think they really understood that if 143 00:08:29,230 --> 00:08:31,890 Speaker 3: you really want Kamala Harris to be president, or you 144 00:08:31,990 --> 00:08:34,790 Speaker 3: really want Barack Obama to be president, which they did, 145 00:08:35,390 --> 00:08:37,860 Speaker 3: then you don't want Susan Collins to be your senator. 146 00:08:38,059 --> 00:08:43,540 Speaker 3: You know, those are not independent choices. And there was 147 00:08:43,559 --> 00:08:45,439 Speaker 3: a time, by the way, when they used to be, 148 00:08:45,500 --> 00:08:49,080 Speaker 3: you know, you could vote for Eisenhower, you know, and 149 00:08:49,160 --> 00:08:52,320 Speaker 3: vote for Democrats for the, you know, for your senator. 150 00:08:52,660 --> 00:08:54,880 Speaker 3: And it didn't matter in the same kind of way 151 00:08:54,920 --> 00:08:55,540 Speaker 3: that it does now. 152 00:08:56,230 --> 00:09:00,090 Speaker 1: Yes, correct. But the referendum here, the idea of having 153 00:09:00,130 --> 00:09:05,680 Speaker 1: a huge midterm, is about stopping Trump, stopping the destructiveness, 154 00:09:05,820 --> 00:09:09,900 Speaker 1: stopping the craziness. Those first two years, really, or a 155 00:09:09,920 --> 00:09:13,179 Speaker 1: little bit less, the first 18 months, we never saw 156 00:09:13,220 --> 00:09:15,140 Speaker 1: the kind of stuff we're seeing now. And a good 157 00:09:15,179 --> 00:09:20,050 Speaker 1: example is this scandal, this Kimberly Guilfoyle scandal out of Greece. 158 00:09:20,710 --> 00:09:25,449 Speaker 1: We see the mad donor leak to the Wall Street Journal, 159 00:09:25,510 --> 00:09:28,610 Speaker 1: then go and do a sort of Sam Nunberg style 160 00:09:29,130 --> 00:09:34,720 Speaker 1: interview series with a bunch of mainstream outlets. And now 161 00:09:35,140 --> 00:09:37,840 Speaker 1: the White House asked her to resign. I think that's 162 00:09:37,940 --> 00:09:40,420 Speaker 1: a sea change from the way they've been doing it 163 00:09:40,480 --> 00:09:41,120 Speaker 1: before that. 164 00:09:41,740 --> 00:09:45,210 Speaker 3: Yeah. And what is this phrase, asked her to resign? 165 00:09:45,770 --> 00:09:50,090 Speaker 3: When has that ever happened in the whole Trump world thing? 166 00:09:50,530 --> 00:09:53,370 Speaker 3: You know, he had three White House chiefs of staff 167 00:09:53,820 --> 00:09:57,890 Speaker 3: in his first administration who got fired by him on Twitter. 168 00:09:58,450 --> 00:10:00,979 Speaker 3: You know, it's like nobody asked them to. resign. He 169 00:10:01,260 --> 00:10:03,939 Speaker 3: would announce to the world that they were no longer 170 00:10:04,000 --> 00:10:07,440 Speaker 3: employed there, and that's how they'd discover it. So I 171 00:10:07,500 --> 00:10:14,060 Speaker 3: find that whole phrasing to be really funny. But the 172 00:10:14,100 --> 00:10:18,970 Speaker 3: whole thing is so breathtakingly weird that this is the 173 00:10:19,000 --> 00:10:22,449 Speaker 3: level of Whatever her thing is, that's the kind of 174 00:10:22,770 --> 00:10:24,910 Speaker 3: corruption we don't want and we don't want to be 175 00:10:24,950 --> 00:10:29,830 Speaker 3: associated with. You know, the $ 100, 000 credit card bill. We 176 00:10:29,850 --> 00:10:33,160 Speaker 3: don't want to be associated with that. But Jared is 177 00:10:33,220 --> 00:10:37,920 Speaker 3: very busy negotiating this multi-billion dollar oil deal, you know, 178 00:10:37,960 --> 00:10:40,339 Speaker 3: for his friends and for his future and for all 179 00:10:40,360 --> 00:10:46,750 Speaker 3: of that stuff, you know. So it's just... I don't 180 00:10:46,790 --> 00:10:50,090 Speaker 3: get the ask to resign thing as opposed to fired. 181 00:10:50,110 --> 00:10:53,510 Speaker 3: I don't know what they think. In a normal political environment, 182 00:10:53,550 --> 00:11:00,400 Speaker 3: those kinds of distinctions really matter. Yeah. But they don't 183 00:11:00,660 --> 00:11:03,760 Speaker 3: in Trump world. So I don't know who the poet 184 00:11:03,840 --> 00:11:06,920 Speaker 3: was who came up with that line in the White House, 185 00:11:08,440 --> 00:11:11,280 Speaker 3: asked to resign. I can't wait till she refuses. I 186 00:11:11,420 --> 00:11:15,090 Speaker 3: want to see that. I refuse to resign. 187 00:11:15,610 --> 00:11:19,550 Speaker 1: But it is, I think you have a really good 188 00:11:19,630 --> 00:11:23,880 Speaker 1: larger point here, which is it's the petty crimery. It's 189 00:11:24,280 --> 00:11:28,040 Speaker 1: the $ 100, 000 Amex, which is a lot of money, but 190 00:11:28,100 --> 00:11:30,140 Speaker 1: not in Trump world. But even like if you look 191 00:11:30,179 --> 00:11:33,660 Speaker 1: at Kristi Noem, right? She, it's too much for her, 192 00:11:33,740 --> 00:11:36,850 Speaker 1: but we have Jared, we have the children, we have 193 00:11:36,910 --> 00:11:41,250 Speaker 1: the administration doing any number of sleazy deals. 194 00:11:41,850 --> 00:11:44,950 Speaker 3: Yeah, you know, I guess the thing with Guilfoyle is, 195 00:11:46,020 --> 00:11:48,850 Speaker 3: Trump voters can understand credit card debt. 196 00:11:49,280 --> 00:11:49,500 Speaker 4: Yeah. 197 00:11:49,800 --> 00:11:53,230 Speaker 3: And a lot of them have very, very burdensome credit 198 00:11:53,270 --> 00:11:55,569 Speaker 3: card debt. And that credit card debt has gotten a 199 00:11:55,650 --> 00:11:58,810 Speaker 3: lot worse this year with what Donald Trump has done 200 00:11:58,950 --> 00:12:01,690 Speaker 3: to their credit cards when they go to a gas station, right? 201 00:12:02,150 --> 00:12:05,670 Speaker 3: And so what Trump understands is, oh, they're going to 202 00:12:05,730 --> 00:12:08,770 Speaker 3: understand what she was doing. They'll never understand what Jared 203 00:12:08,790 --> 00:12:11,670 Speaker 3: was doing. They'll never understand what Witkoff's doing. They'll never 204 00:12:11,720 --> 00:12:14,040 Speaker 3: understand what I'm doing. They're never going to get that. 205 00:12:14,880 --> 00:12:19,140 Speaker 3: But credit card debt? Oh, okay. They will understand that. 206 00:12:19,440 --> 00:12:22,120 Speaker 3: And also, she's an idiot and we all know that. 207 00:12:22,260 --> 00:12:28,150 Speaker 3: So let's just get rid of her. And how long 208 00:12:28,190 --> 00:12:31,589 Speaker 3: do we tolerate a complete clown who has also embarrassed 209 00:12:31,650 --> 00:12:33,410 Speaker 3: us in some small way? Yeah. 210 00:12:33,450 --> 00:12:37,020 Speaker 1: Yeah. He was able that first year to really keep it. 211 00:12:37,140 --> 00:12:40,010 Speaker 1: I mean, I'm thinking about like Mike Waltz with Signalgate. 212 00:12:40,370 --> 00:12:45,670 Speaker 1: Like that was unbelievably bad. He added Jeffrey Goldberg, the 213 00:12:45,850 --> 00:12:49,010 Speaker 1: editor in chief of The Atlantic, to a Signal chat 214 00:12:49,110 --> 00:12:50,120 Speaker 1: about bombings. 215 00:12:50,290 --> 00:12:50,530 Speaker 3: Right. 216 00:12:50,620 --> 00:12:56,620 Speaker 1: Like, I mean, just catastrophically incompetent. But they just closed 217 00:12:56,720 --> 00:12:59,520 Speaker 1: ranks in a way that they can no longer do. 218 00:13:00,040 --> 00:13:00,240 Speaker 3: Yeah. 219 00:13:00,820 --> 00:13:01,100 Speaker 1: Yeah. 220 00:13:01,380 --> 00:13:05,660 Speaker 3: And it's crazy. going to be interesting with the Democrats 221 00:13:05,740 --> 00:13:10,560 Speaker 3: in control of at least one House, probably the House 222 00:13:10,580 --> 00:13:14,040 Speaker 3: and maybe the Senate. You know, what is the toleration 223 00:13:14,100 --> 00:13:16,619 Speaker 3: level for this kind of stuff? Will this kind of 224 00:13:16,660 --> 00:13:20,210 Speaker 3: thing definitely get you kipped out because they don't want to, 225 00:13:20,620 --> 00:13:23,900 Speaker 3: you know, they don't want to endure the investigation stuff. But, 226 00:13:23,920 --> 00:13:26,929 Speaker 3: you know, on midterms, if we're talking about midterms, as 227 00:13:26,990 --> 00:13:29,849 Speaker 3: we seem to be, if there's any thread to this 228 00:13:29,910 --> 00:13:32,929 Speaker 3: at all, I'm not sure. I'm going to tell you 229 00:13:32,950 --> 00:13:42,280 Speaker 3: about The most important midterms of my life and my lifetime. Yes. 230 00:13:42,320 --> 00:13:48,870 Speaker 3: Possibly ever, for that matter. And that is 1994. And 231 00:13:48,920 --> 00:13:52,590 Speaker 3: Bill Clinton is president. And he's elected in 92. So 232 00:13:52,630 --> 00:13:55,030 Speaker 3: this is two years later. This is his first midterm. 233 00:13:55,250 --> 00:13:59,770 Speaker 3: The Democrats, we go into the election with 57 Democrats. 234 00:14:00,110 --> 00:14:03,189 Speaker 3: That was standard. That was like a standard. margin. It 235 00:14:03,470 --> 00:14:06,959 Speaker 3: could have more. That was typical. It was never 51 236 00:14:06,960 --> 00:14:09,620 Speaker 3: or 50 or 52. It was never like that. It 237 00:14:09,630 --> 00:14:14,720 Speaker 3: was never close. And giant margin in the House. The 238 00:14:14,960 --> 00:14:17,820 Speaker 3: Democrats used to have margins of over 100 in the House. 239 00:14:18,080 --> 00:14:21,420 Speaker 3: This stuff about they've got a two-vote margin in the 240 00:14:21,460 --> 00:14:26,660 Speaker 3: House is all 21st century stuff. And so we all 241 00:14:26,740 --> 00:14:31,100 Speaker 3: comfortably go into that election. And I get a call 242 00:14:31,830 --> 00:14:34,830 Speaker 3: at about 2 o'clock in the afternoon in New York. 243 00:14:36,090 --> 00:14:38,470 Speaker 3: Senator Moynihan and I, I'm working for Senator Moynihan of 244 00:14:38,510 --> 00:14:40,410 Speaker 3: New York. We're in New York for Election Day, of course. 245 00:14:41,100 --> 00:14:44,620 Speaker 3: And Bob Dole, who's the Republican minority leader of the House, 246 00:14:44,820 --> 00:14:49,340 Speaker 3: he has the single best staffer in the House, Sheila Burke, 247 00:14:49,420 --> 00:14:53,020 Speaker 3: who everyone referred to as the 101st senator. She was 248 00:14:53,060 --> 00:14:59,070 Speaker 3: just absolutely brilliant. She was a California liberal nurse. who 249 00:14:59,190 --> 00:15:02,820 Speaker 3: found herself working on health care policy that eventually wound 250 00:15:02,860 --> 00:15:05,900 Speaker 3: its way into Bob Dole's office. Bob Dole was very 251 00:15:05,960 --> 00:15:09,780 Speaker 3: concerned with health care policy. And there, her life evolved 252 00:15:09,860 --> 00:15:13,979 Speaker 3: to working for the Republican majority and minority leader of 253 00:15:14,020 --> 00:15:16,510 Speaker 3: the Senate. And she was absolutely brilliant. Every time I 254 00:15:16,530 --> 00:15:19,050 Speaker 3: talked to her, I just knew, I'm aware of about 255 00:15:19,210 --> 00:15:22,830 Speaker 3: maybe two of the 10 cards in her hand right 256 00:15:22,930 --> 00:15:26,290 Speaker 3: now that she's playing with me. And I am desperately 257 00:15:26,330 --> 00:15:28,520 Speaker 3: trying to keep up. Anyway, she calls me about two 258 00:15:28,560 --> 00:15:31,740 Speaker 3: o'clock on election day and says, um, we won the Senate. 259 00:15:32,240 --> 00:15:34,420 Speaker 3: And I don't know how they had that. They had that. 260 00:15:34,540 --> 00:15:37,380 Speaker 3: They had found some key precincts here and there where 261 00:15:37,400 --> 00:15:40,150 Speaker 3: they got early returns in the morning and they just said, okay, 262 00:15:40,330 --> 00:15:42,970 Speaker 3: this is it. We're going to win now. Uh, and 263 00:15:42,990 --> 00:15:46,070 Speaker 3: I'm shocked. I'm sitting there with Senator Boynton. I'm absolutely shocked. 264 00:15:46,130 --> 00:15:48,030 Speaker 3: And I tell him, and the reason I'm shocked is 265 00:15:48,050 --> 00:15:51,470 Speaker 3: that no one, no one predicted the Republicans were going 266 00:15:51,490 --> 00:15:54,640 Speaker 3: to win the Senate. And they had to win eight 267 00:15:54,760 --> 00:15:58,080 Speaker 3: Senate seats. They won more than that. They won a bunch, right? 268 00:15:58,600 --> 00:16:00,980 Speaker 3: And then the next thing that happens, and this had 269 00:16:01,060 --> 00:16:04,859 Speaker 3: never happened in my actual lifetime, in that same election day, 270 00:16:05,220 --> 00:16:08,360 Speaker 3: the Republicans win the House of Representatives. And if there 271 00:16:08,820 --> 00:16:12,450 Speaker 3: were a pundit in Washington who predicted that, there would 272 00:16:12,490 --> 00:16:17,190 Speaker 3: be a statue of that pundit in the Hall of Punditry. 273 00:16:17,750 --> 00:16:22,350 Speaker 3: No one predicted it. Not anyone who was looking at that. 274 00:16:22,450 --> 00:16:27,550 Speaker 3: Not a single prediction anywhere in our politics. The Democrats 275 00:16:27,590 --> 00:16:30,230 Speaker 3: were going to lose the House of Representatives for the 276 00:16:30,270 --> 00:16:35,430 Speaker 3: first time in 40 years. Yes, 40 years. And that 277 00:16:35,470 --> 00:16:38,490 Speaker 3: the Democrats were going to lose the Senate at the 278 00:16:38,550 --> 00:16:42,530 Speaker 3: exact same time. And all of the Republican ads, which 279 00:16:42,620 --> 00:16:46,160 Speaker 3: we were not seeing in New York, were the same thing. 280 00:16:46,740 --> 00:16:49,080 Speaker 3: It was a picture of your senator or your local 281 00:16:49,100 --> 00:16:52,420 Speaker 3: House member. And over 30 seconds, that picture would morph 282 00:16:52,660 --> 00:16:56,900 Speaker 3: into the face of Bill Clinton. Bang, you know, they, they, 283 00:16:57,020 --> 00:17:02,200 Speaker 3: the country just turned against Bill Clinton completely. Uh, and, 284 00:17:02,440 --> 00:17:04,899 Speaker 3: and I get it politically, you know, he ran on 285 00:17:04,940 --> 00:17:07,159 Speaker 3: a middle-class tax cut. When he got in, he did 286 00:17:07,200 --> 00:17:10,310 Speaker 3: a tax increase, which he did on our committee. You know, 287 00:17:10,670 --> 00:17:12,629 Speaker 3: if you, if you hadn't said that thing about the 288 00:17:12,670 --> 00:17:15,810 Speaker 3: tax cut, which we all knew was ridiculous when you 289 00:17:15,850 --> 00:17:19,060 Speaker 3: were saying it, you know, anyway. And so then you 290 00:17:19,119 --> 00:17:22,159 Speaker 3: ask yourself, so what happened? So you've got a Democratic president, 291 00:17:22,760 --> 00:17:24,699 Speaker 3: and it turns out you have a Democratic president for 292 00:17:24,720 --> 00:17:28,940 Speaker 3: another six years. So what happened when Newt Gingrich becomes 293 00:17:28,960 --> 00:17:32,280 Speaker 3: the Speaker of the House? This stunning thing. And what 294 00:17:32,340 --> 00:17:37,639 Speaker 3: happened was Bill Clinton gave up on every single thing 295 00:17:37,800 --> 00:17:39,899 Speaker 3: he had been trying to do and that was on 296 00:17:39,980 --> 00:17:44,180 Speaker 3: his agenda the day before that election. He completely gave 297 00:17:44,260 --> 00:17:49,840 Speaker 3: up and never again pursued any of it. And he 298 00:17:49,980 --> 00:17:55,350 Speaker 3: changed from a legislative approach to welfare that was the 299 00:17:56,050 --> 00:18:01,550 Speaker 3: smart democratic approach, which had historically been led by Senator Moynihan, 300 00:18:01,590 --> 00:18:04,490 Speaker 3: which is to say, let's make the system work better 301 00:18:04,830 --> 00:18:08,050 Speaker 3: for the people we are trying to help. Let's get 302 00:18:08,090 --> 00:18:11,350 Speaker 3: it working for them. And there's a variety of ways 303 00:18:11,369 --> 00:18:14,190 Speaker 3: you can do that. And it always includes spending more money. 304 00:18:14,650 --> 00:18:19,450 Speaker 3: He instead signed a Republican welfare reform bill, you know, 305 00:18:20,490 --> 00:18:23,790 Speaker 3: as his own reelection was coming. And he was ahead 306 00:18:23,830 --> 00:18:25,950 Speaker 3: in the polls in his own reelection already, but he 307 00:18:25,990 --> 00:18:30,040 Speaker 3: still signed it. In other words, that midterm election defined 308 00:18:30,060 --> 00:18:33,000 Speaker 3: the governance by the president of the United States for 309 00:18:33,020 --> 00:18:36,379 Speaker 3: the next six years. Yes, he got reelected. Yes, the 310 00:18:36,400 --> 00:18:39,679 Speaker 3: Democrats stayed in office, but he moved so much closer 311 00:18:39,740 --> 00:18:43,730 Speaker 3: to the Republicans on everything, on everything, you know, for 312 00:18:43,750 --> 00:18:46,780 Speaker 3: the rest of his time. And so it was by 313 00:18:46,859 --> 00:18:51,719 Speaker 3: far the most consequential midterm election, you know, ever because 314 00:18:52,160 --> 00:18:54,439 Speaker 3: two things. One, no one saw it coming. There were 315 00:18:54,500 --> 00:18:56,870 Speaker 3: no predictions of it happening. So there was a thing 316 00:18:56,930 --> 00:19:00,010 Speaker 3: happening in the electorate that we didn't know about at all. 317 00:19:00,230 --> 00:19:03,210 Speaker 3: No one knew about it. Maybe the Republicans creating those 318 00:19:03,330 --> 00:19:04,909 Speaker 3: ads knew about it, but we didn't know about it. 319 00:19:05,390 --> 00:19:09,060 Speaker 3: And so I'm always prepared for surprise on midterm elections, 320 00:19:09,100 --> 00:19:11,920 Speaker 3: like always. Ever since then, you know, a shell shock 321 00:19:12,000 --> 00:19:15,080 Speaker 3: since then. And I never predict them since then, right? 322 00:19:16,460 --> 00:19:21,179 Speaker 3: And I'm always ready for whatever happens. But what I 323 00:19:21,260 --> 00:19:23,699 Speaker 3: think we know is this is not going to be 324 00:19:23,740 --> 00:19:27,960 Speaker 3: a Clinton midterm. If Donald Trump loses this, he is 325 00:19:28,040 --> 00:19:31,110 Speaker 3: not going to move the way Bill Clinton moved. He's 326 00:19:31,160 --> 00:19:33,710 Speaker 3: not going to say, OK, what do you want to do. 327 00:19:33,609 --> 00:19:34,510 Speaker 4: To improve Obamacare? 328 00:19:35,010 --> 00:19:37,389 Speaker 3: Let's all have a meeting and see what we want 329 00:19:37,410 --> 00:19:41,290 Speaker 3: to do to update and strengthen Obamacare. And so you 330 00:19:41,310 --> 00:19:43,869 Speaker 3: think maybe capital gains taxes should be higher? What do 331 00:19:43,890 --> 00:19:48,770 Speaker 3: you think? That isn't going to happen, right? So in 332 00:19:48,810 --> 00:19:53,780 Speaker 3: that sense, we have absolutely no mon for what happens 333 00:19:55,520 --> 00:19:58,659 Speaker 3: if Trump loses this as big or on a scale 334 00:19:58,680 --> 00:20:02,560 Speaker 3: that Clinton lost it in 1990. What we do know, though, 335 00:20:02,680 --> 00:20:06,520 Speaker 3: is if the Democrats control the Senate, Donald Trump doesn't 336 00:20:06,540 --> 00:20:12,440 Speaker 3: get a Supreme Court confirmation, probably at all. It probably 337 00:20:12,500 --> 00:20:15,449 Speaker 3: would be that they will simply vote against, there'll be 338 00:20:15,470 --> 00:20:20,070 Speaker 3: a majority vote against every nominee he brings up. And 339 00:20:20,090 --> 00:20:24,230 Speaker 3: that's a tremendous accomplishment, just a tremendous accomplishment. And by 340 00:20:24,270 --> 00:20:26,590 Speaker 3: the way, it could be that you have two rushed 341 00:20:26,890 --> 00:20:32,650 Speaker 3: Supreme Court nominations in November and December with Clarence Thomas 342 00:20:32,910 --> 00:20:35,970 Speaker 3: and Alito just getting out fast. And they just rig 343 00:20:36,030 --> 00:20:37,530 Speaker 3: it and run it. 344 00:20:37,540 --> 00:20:39,630 Speaker 1: Through and Do you see that happening? 345 00:20:40,410 --> 00:20:44,510 Speaker 3: It's possible. You know, this is a crazy time and 346 00:20:44,570 --> 00:20:48,930 Speaker 3: it's crazy Republicans, you know, in the Senate. I mean, Thune, 347 00:20:49,130 --> 00:20:51,590 Speaker 3: I got to say, I mean, I used to vaguely 348 00:20:51,650 --> 00:20:56,070 Speaker 3: know John Thune back when he was a reasonable Republican, 349 00:20:56,390 --> 00:21:01,060 Speaker 3: which is in the 20th century. And it's not the 350 00:21:01,100 --> 00:21:04,139 Speaker 3: kind of thing he would want to do. And I'd 351 00:21:04,220 --> 00:21:07,149 Speaker 3: think he would have to feel politically forced to do it? 352 00:21:07,230 --> 00:21:09,940 Speaker 3: And I'm not sure. I mean, that's the interesting question, right? 353 00:21:10,820 --> 00:21:13,040 Speaker 3: The day after this election, if they're wiped out, does 354 00:21:13,080 --> 00:21:16,820 Speaker 3: Donald Trump have the power to steamroll the Republican Senate 355 00:21:16,859 --> 00:21:20,840 Speaker 3: to confirm a Supreme Court justice rushed through at the 356 00:21:20,880 --> 00:21:23,590 Speaker 3: last minute like that? I don't know, but I think 357 00:21:23,619 --> 00:21:28,770 Speaker 3: it's possible, possible that he would not have that power. Yeah. 358 00:21:29,950 --> 00:21:33,710 Speaker 1: Lawrence, thank you so much. That was so great. MSNOW 359 00:21:33,790 --> 00:21:38,030 Speaker 1: launched its MSNOW membership. It is available for download in 360 00:21:38,050 --> 00:21:43,129 Speaker 1: the App Store and on Google Play and online at MSNOW. 361 00:21:43,490 --> 00:21:47,320 Speaker 1: As part of it, Lawrence O'Donnell hosts the very last 362 00:21:47,420 --> 00:21:51,479 Speaker 1: Word with Lawrence O'Donnell, where each week he takes members 363 00:21:51,540 --> 00:21:54,530 Speaker 1: behind the scenes and shares the one thing he couldn't 364 00:21:54,609 --> 00:21:56,970 Speaker 1: fit into the show but still wants them to know. 365 00:22:00,520 --> 00:22:05,960 Speaker 5: Molly, it's time for the headlines. And you remember when 366 00:22:05,980 --> 00:22:10,250 Speaker 5: the term Scaramucci's happened, where we were shocked how fast 367 00:22:10,310 --> 00:22:13,750 Speaker 5: he was fired? Well, I think we have a contestant 368 00:22:13,830 --> 00:22:18,609 Speaker 5: that is going to beat it, being the new press secretary, 369 00:22:18,690 --> 00:22:19,750 Speaker 5: Katie Zachariah. 370 00:22:20,050 --> 00:22:24,879 Speaker 1: OK, so Katie Zachariah has done her first briefing. It 371 00:22:24,940 --> 00:22:30,669 Speaker 1: lasted 14 minutes and it's About 14 minutes later, everyone 372 00:22:30,810 --> 00:22:35,310 Speaker 1: in the Trump world came out with anonymous comments to 373 00:22:35,350 --> 00:22:38,469 Speaker 1: the media saying things like she was a disaster. There 374 00:22:38,490 --> 00:22:41,270 Speaker 1: were so many anonymous comments. Someone said she needs to 375 00:22:41,310 --> 00:22:44,660 Speaker 1: get better fast. Someone else said she's not going to last. 376 00:22:44,700 --> 00:22:49,630 Speaker 1: I mean, they were literally, uh, They were literally like 377 00:22:49,830 --> 00:22:52,710 Speaker 1: every source in the world. Getting behind the podium is tough, 378 00:22:52,790 --> 00:22:54,629 Speaker 1: but she got off on the wrong foot. She needs 379 00:22:54,650 --> 00:22:58,100 Speaker 1: to get much better fast. Otherwise, she'll break Scaramucci's record. 380 00:22:58,859 --> 00:23:02,760 Speaker 1: Just quotes after quote after quote. And the thing that she, 381 00:23:03,240 --> 00:23:07,830 Speaker 1: she had some trouble. She called on three outlets. Breitbart, 382 00:23:08,109 --> 00:23:12,770 Speaker 1: Fox News, and the Daily Mail. And surprisingly, she actually 383 00:23:12,810 --> 00:23:16,070 Speaker 1: got a question she could not answer from Fox News, 384 00:23:16,150 --> 00:23:20,770 Speaker 1: which was Peter Ducey asked her about whether or not 385 00:23:20,790 --> 00:23:23,970 Speaker 1: this administration was still sharing intelligence with Ukraine, which of 386 00:23:24,050 --> 00:23:29,020 Speaker 1: course is vital for Ukraine's survival, important values that America 387 00:23:29,119 --> 00:23:32,040 Speaker 1: used to have. And she couldn't answer the question. She 388 00:23:32,080 --> 00:23:35,409 Speaker 1: had to go to the president, which seems important at 389 00:23:35,450 --> 00:23:37,729 Speaker 1: the end of the briefing she said you know you 390 00:23:37,750 --> 00:23:40,609 Speaker 1: can just talk to trump who's the best you know 391 00:23:40,630 --> 00:23:43,830 Speaker 1: who's the best person to talk to which again calls 392 00:23:43,890 --> 00:23:46,710 Speaker 1: into question as to why she exists at all but 393 00:23:46,930 --> 00:23:49,710 Speaker 1: all of this clown show stuff reminds me of trump 394 00:23:49,710 --> 00:23:52,680 Speaker 1: 1.0 and makes me think that the wheels are starting 395 00:23:52,700 --> 00:23:54,260 Speaker 1: to really come off. 396 00:23:54,280 --> 00:23:56,340 Speaker 5: Yeah i'm looking forward to maybe calling on some male 397 00:23:56,420 --> 00:23:58,980 Speaker 5: escorts uh the next briefing or something you know to 398 00:23:59,000 --> 00:24:00,860 Speaker 5: make sure the questions are softball. 399 00:24:00,770 --> 00:24:05,150 Speaker 1: The thing is, like, there's always MAGA USA. Like, those 400 00:24:05,210 --> 00:24:08,869 Speaker 1: of us who have covered CPAC know that there's always 401 00:24:09,170 --> 00:24:13,490 Speaker 1: more partisan, more hacky media outlets out there. 402 00:24:13,869 --> 00:24:17,209 Speaker 5: Yeah. So speaking of hacks, we have to talk about 403 00:24:17,230 --> 00:24:20,230 Speaker 5: the Supreme Court. So as always, the Trump administration is 404 00:24:20,270 --> 00:24:24,130 Speaker 5: trying to cover things up, particularly this time that Doge 405 00:24:24,190 --> 00:24:28,649 Speaker 5: did nothing except for cut Elon's hated projects within the government. 406 00:24:29,050 --> 00:24:31,730 Speaker 5: They could barely find inefficiencies because the government has been 407 00:24:31,810 --> 00:24:35,320 Speaker 5: stripped down to the bones for years. And the Supreme 408 00:24:35,359 --> 00:24:37,859 Speaker 5: Court says, OK, we'll let you hear it, Mr. Trump. 409 00:24:38,020 --> 00:24:38,300 Speaker 3: Yeah. 410 00:24:38,359 --> 00:24:43,419 Speaker 1: So, again, look, Trump world desperately wants to cover up 411 00:24:43,460 --> 00:24:44,540 Speaker 1: what Doge did. 412 00:24:44,800 --> 00:24:45,379 Speaker 3: Why? 413 00:24:45,460 --> 00:24:47,470 Speaker 1: It's a good question, but I think we know the 414 00:24:47,609 --> 00:24:51,109 Speaker 1: answer to it. This is another case from the people 415 00:24:51,530 --> 00:24:57,260 Speaker 1: at Doge. CRU, Citizens for Responsibility and Ethics in Washington. 416 00:24:57,520 --> 00:25:00,109 Speaker 1: They're a really good watchdog group that has been suing 417 00:25:00,140 --> 00:25:04,090 Speaker 1: this administration, trying to get some answers. Look, we also 418 00:25:04,150 --> 00:25:07,790 Speaker 1: had a story this week that members of DOGE who 419 00:25:07,830 --> 00:25:10,949 Speaker 1: are working started working in the private sector using the 420 00:25:11,010 --> 00:25:14,290 Speaker 1: information they had gleaned from the federal government to make 421 00:25:14,369 --> 00:25:18,149 Speaker 1: money for themselves, which is something we had long suspected 422 00:25:18,830 --> 00:25:22,369 Speaker 1: and should be illegal, though it may be just one 423 00:25:22,390 --> 00:25:25,410 Speaker 1: of those things of norms versus laws. But either way, 424 00:25:26,230 --> 00:25:31,130 Speaker 1: really worrying stuff from Crewe, the administration. I will see 425 00:25:31,190 --> 00:25:34,730 Speaker 1: how the Supreme Court looks at this if we look 426 00:25:34,750 --> 00:25:36,800 Speaker 1: at it on the shadow docket or if they're going 427 00:25:36,820 --> 00:25:39,760 Speaker 1: to really look at it as. But either way, it's, 428 00:25:40,040 --> 00:25:42,920 Speaker 1: you know, we have seen this administration, the Supreme Court 429 00:25:42,960 --> 00:25:46,900 Speaker 1: just completely sign off on all of Trump, almost all 430 00:25:46,940 --> 00:25:48,619 Speaker 1: of Trump's ridiculousness. 431 00:25:49,080 --> 00:25:53,340 Speaker 5: So, Molly, it is very clear that the Trump administration 432 00:25:53,380 --> 00:25:55,880 Speaker 5: is trying to change the subject. And what they think 433 00:25:55,940 --> 00:25:59,350 Speaker 5: is always a win is if Democrats are defending trans 434 00:25:59,390 --> 00:26:03,169 Speaker 5: people or Muslims. So, of course, Trump is now raided 435 00:26:03,230 --> 00:26:04,390 Speaker 5: Ilhan Omar's home. 436 00:26:04,869 --> 00:26:08,270 Speaker 1: Yeah. You know, this is such an interesting thing because 437 00:26:08,310 --> 00:26:10,510 Speaker 1: like this, again, is a play for the base. 438 00:26:10,590 --> 00:26:10,830 Speaker 4: Right. 439 00:26:10,890 --> 00:26:15,450 Speaker 1: To get the base excited because. Remember, Trump loves a villain. 440 00:26:15,490 --> 00:26:17,869 Speaker 1: He loves a woman villain. He loves a woman of 441 00:26:17,950 --> 00:26:20,850 Speaker 1: color villain. Like, these are the people who he gets 442 00:26:20,890 --> 00:26:24,109 Speaker 1: his face excited about, right? Because it's racism. It's ultimately 443 00:26:24,150 --> 00:26:29,350 Speaker 1: racism and xenophobia. So he has had his DOJ search 444 00:26:29,410 --> 00:26:33,790 Speaker 1: her house for what? For proof that her father might 445 00:26:33,810 --> 00:26:37,030 Speaker 1: have lied about her age when she was a teenager? 446 00:26:37,109 --> 00:26:40,340 Speaker 1: I mean, it's just so thin. It's like in a 447 00:26:40,940 --> 00:26:43,440 Speaker 1: normal world, it's the kind of thing people get arrested 448 00:26:43,700 --> 00:26:47,640 Speaker 1: in Hungary or in Russia for, right? It's the kind 449 00:26:47,680 --> 00:26:50,560 Speaker 1: of thing that authoritarians go after people for. But it's 450 00:26:50,600 --> 00:26:55,780 Speaker 1: completely so thin and it's not a real thing. So 451 00:26:56,140 --> 00:26:58,480 Speaker 1: what's going to happen here is Donald Trump is going 452 00:26:58,510 --> 00:27:01,990 Speaker 1: to try to run against Ilhan Omar because he thinks 453 00:27:02,050 --> 00:27:04,750 Speaker 1: it might get his base excited. And remember, Donald Trump 454 00:27:04,790 --> 00:27:07,150 Speaker 1: is the only problem, which is the base is mad 455 00:27:07,210 --> 00:27:10,560 Speaker 1: about how expensive diesel is, mad about how expensive gas is, 456 00:27:10,680 --> 00:27:14,260 Speaker 1: mad about how expensive tariffs have made everything. And now 457 00:27:14,320 --> 00:27:17,280 Speaker 1: Donald Trump is just trying anything he can left in 458 00:27:17,320 --> 00:27:21,889 Speaker 1: his clipper. So it's bad. It's upsetting. It's wrong. But 459 00:27:21,930 --> 00:27:24,990 Speaker 1: it's also absolutely who Donald Trump is. 460 00:27:25,070 --> 00:27:25,290 Speaker 3: Yeah. 461 00:27:25,310 --> 00:27:26,949 Speaker 5: And we always knew they were going to do these 462 00:27:26,990 --> 00:27:31,179 Speaker 5: subject changes. In fact, I saw these– reparations billboards go 463 00:27:31,220 --> 00:27:32,660 Speaker 5: up in new york this week and i was like 464 00:27:32,760 --> 00:27:37,120 Speaker 5: that is 100 a republican front because these billboards right 465 00:27:37,160 --> 00:27:39,600 Speaker 5: here those are not written by somebody who actually supports 466 00:27:39,660 --> 00:27:44,270 Speaker 5: reparations no and it's they just know it's unpopular yeah 467 00:27:44,480 --> 00:27:46,609 Speaker 5: they want to get candidates talking about this instead of 468 00:27:46,670 --> 00:27:50,290 Speaker 5: talking about him and that's what this clearly is correct 469 00:27:50,670 --> 00:27:55,310 Speaker 5: so molly um Trouble in Paradise, CBS News, 60 Minutes 470 00:27:55,690 --> 00:28:00,410 Speaker 5: continues to devolve as Leslie Stahl probably, I'd be curious 471 00:28:00,450 --> 00:28:03,220 Speaker 5: what you say, but like top five most respected people 472 00:28:03,260 --> 00:28:07,020 Speaker 5: in journalism is now apparently furious and on the verge 473 00:28:07,040 --> 00:28:07,440 Speaker 5: of quitting. 474 00:28:07,660 --> 00:28:09,700 Speaker 1: Yeah, I mean, it's not that going to be that 475 00:28:09,720 --> 00:28:13,909 Speaker 1: many people laughed. So basically, I mean, this is such a, 476 00:28:14,280 --> 00:28:16,120 Speaker 1: this is exactly what you think it's going to be. 477 00:28:16,460 --> 00:28:21,930 Speaker 1: So Barry Weiss tried to influence a story about settlers, 478 00:28:22,010 --> 00:28:27,740 Speaker 1: about Israeli settlers violently hurting Palestinians and trying to drive 479 00:28:27,780 --> 00:28:30,400 Speaker 1: them out of the West Bank. Look, Barry Weiss has 480 00:28:30,460 --> 00:28:36,320 Speaker 1: that job because she's very Zionist. The Ellisons, also very Zionist. 481 00:28:36,859 --> 00:28:41,220 Speaker 1: You know, Leslie Stahl, a journalist who is very surprised 482 00:28:41,240 --> 00:28:46,080 Speaker 1: that the very Zionist head of CBS News is trying 483 00:28:46,160 --> 00:28:48,770 Speaker 1: to get her to change her story. But we knew 484 00:28:48,810 --> 00:28:52,640 Speaker 1: this was going to happen because we've seen how Barry 485 00:28:52,680 --> 00:28:55,480 Speaker 1: Weiss's behavior has been this entire time. And she's tried 486 00:28:55,500 --> 00:28:58,360 Speaker 1: to influence stories. She's tried to put her finger on 487 00:28:58,380 --> 00:29:01,200 Speaker 1: the scale. She's tried all sorts of things. And some 488 00:29:01,220 --> 00:29:03,920 Speaker 1: of this is, like, because she doesn't really come from 489 00:29:03,940 --> 00:29:06,840 Speaker 1: a news background. She comes from opinion. She was an 490 00:29:06,900 --> 00:29:11,940 Speaker 1: opinion editor. And opinion is different than news, right? News 491 00:29:12,620 --> 00:29:16,560 Speaker 1: is totally different. But also, like, CBS has had this 492 00:29:16,600 --> 00:29:20,850 Speaker 1: sort of gold standard-y A thing where they did not, 493 00:29:20,910 --> 00:29:24,360 Speaker 1: they were really careful about their stories. They really had 494 00:29:24,400 --> 00:29:28,600 Speaker 1: things vetted that wasn't a finger on the scale. And 495 00:29:28,660 --> 00:29:31,690 Speaker 1: now Barry Weiss is just ruining what little is left 496 00:29:32,210 --> 00:29:36,950 Speaker 1: of the brand. And she is trying to, you know, 497 00:29:37,030 --> 00:29:39,630 Speaker 1: influence the network to be more Zionist. 498 00:29:39,960 --> 00:29:40,180 Speaker 3: Yeah. 499 00:29:40,300 --> 00:29:42,400 Speaker 5: And I think it'll be very curious what this story 500 00:29:42,440 --> 00:29:45,460 Speaker 5: looks like, because the footage you see on Al Jazeera 501 00:29:45,640 --> 00:29:49,320 Speaker 5: and TikTok or anywhere else each day is some of 502 00:29:49,360 --> 00:29:51,840 Speaker 5: the most appalling footage I've seen in my life. And 503 00:29:52,300 --> 00:29:54,560 Speaker 5: I'll be very curious how watered down it comes out. 504 00:29:54,820 --> 00:29:55,220 Speaker 3: If any. 505 00:29:55,480 --> 00:29:58,230 Speaker 1: But it also shows like the primary issue here that 506 00:29:58,270 --> 00:30:02,530 Speaker 1: has always been that Barry has really tried to elevate 507 00:30:02,930 --> 00:30:06,580 Speaker 1: Israel and Zionism in her coverage. And so, like, it 508 00:30:06,600 --> 00:30:09,620 Speaker 1: makes sense that she was going to try and put 509 00:30:09,660 --> 00:30:11,600 Speaker 1: her finger on the scale when it came to this. 510 00:30:11,960 --> 00:30:14,820 Speaker 1: And I'm actually just surprised that Leslie Stahl is surprised. 511 00:30:15,900 --> 00:30:16,880 Speaker 5: There's a lot of truth to that. 512 00:30:18,100 --> 00:30:23,560 Speaker 1: Representative Jason Crow represents Colorado's 6th Congressional District. Welcome, welcome, 513 00:30:23,600 --> 00:30:24,200 Speaker 1: Jason Crow. 514 00:30:24,620 --> 00:30:25,870 Speaker 4: Molly, thanks for having me. 515 00:30:26,120 --> 00:30:30,810 Speaker 1: So... Pete Hegseth, you were a veteran and you served 516 00:30:30,900 --> 00:30:33,670 Speaker 1: and you serve on armed services still. And so you're. 517 00:30:35,120 --> 00:30:37,440 Speaker 1: you know, you think a lot about what it means 518 00:30:37,960 --> 00:30:42,090 Speaker 1: to serve and what that entails. So let's talk about 519 00:30:42,150 --> 00:30:47,830 Speaker 1: Pete Hegseth and this new, but truly maddening and also 520 00:30:47,910 --> 00:30:53,410 Speaker 1: really upsetting public execution plan. Can you just give us 521 00:30:53,450 --> 00:30:57,710 Speaker 1: a little backstory on this and also why you think 522 00:30:57,850 --> 00:30:59,090 Speaker 1: Pete Hegseth is doing this? 523 00:30:59,330 --> 00:31:02,450 Speaker 4: Yeah, well, there seems to be no bottom for Pete Hegseth. 524 00:31:02,490 --> 00:31:05,010 Speaker 4: Just when you think he's bottomed out, He lowers it 525 00:31:05,090 --> 00:31:10,410 Speaker 4: even more. And this represents the opposite of what the 526 00:31:10,450 --> 00:31:14,270 Speaker 4: military ethos and military leadership is supposed to be and 527 00:31:14,290 --> 00:31:17,970 Speaker 4: what I learned in the military. I was an Army Ranger. 528 00:31:18,090 --> 00:31:20,630 Speaker 4: I worked in special operations. I was a paratrooper, a 529 00:31:21,510 --> 00:31:25,170 Speaker 4: three-time combat veteran in Iraq and Afghanistan. And when you learn, 530 00:31:25,190 --> 00:31:28,830 Speaker 4: what you learn in Ranger school and infantry school and 531 00:31:28,930 --> 00:31:32,960 Speaker 4: officer training is this idea of servant leadership. in the 532 00:31:33,000 --> 00:31:35,380 Speaker 4: notion of the quiet professional, that you do your job, 533 00:31:35,420 --> 00:31:37,790 Speaker 4: you do it well, you don't do it with fanfare, 534 00:31:37,830 --> 00:31:40,590 Speaker 4: you don't do it in front of the cameras. You're 535 00:31:40,610 --> 00:31:43,830 Speaker 4: supposed to keep your head down and do what our 536 00:31:43,870 --> 00:31:46,450 Speaker 4: country asks you to do. That is the ethos, right? 537 00:31:46,490 --> 00:31:50,150 Speaker 4: And servant leadership is you give the credit to your 538 00:31:50,190 --> 00:31:53,930 Speaker 4: soldiers and you take the responsibility. And when you're a paratrooper, 539 00:31:54,350 --> 00:31:57,050 Speaker 4: when you're jumping out of an aircraft, the leader goes 540 00:31:57,110 --> 00:32:01,270 Speaker 4: first and then your soldiers follow. When you're out in 541 00:32:01,290 --> 00:32:05,150 Speaker 4: the field, and you get hot chow, and a warm 542 00:32:05,190 --> 00:32:07,730 Speaker 4: meal comes, everyone else eats first, and if there's food 543 00:32:07,780 --> 00:32:10,380 Speaker 4: left over, then you eat. What Pete Hashtag has done 544 00:32:10,410 --> 00:32:13,820 Speaker 4: is flip all of that on its head. Everything is 545 00:32:13,860 --> 00:32:17,260 Speaker 4: about the performance politics. Everything is about the video, about him, 546 00:32:18,040 --> 00:32:24,380 Speaker 4: and this is an extension of that. Personally, I'm pained. 547 00:32:24,400 --> 00:32:26,960 Speaker 4: It actually pains me that he's going to do this 548 00:32:27,000 --> 00:32:30,420 Speaker 4: public execution because the message that it sends is that 549 00:32:30,680 --> 00:32:36,320 Speaker 4: the military is about is about vengeance, is about killing, 550 00:32:36,340 --> 00:32:42,260 Speaker 4: is about performative videos. And that's just not at all 551 00:32:42,660 --> 00:32:45,660 Speaker 4: what our military is about and has been about. And 552 00:32:45,700 --> 00:32:48,510 Speaker 4: he continues to degrade the culture of the military that 553 00:32:48,530 --> 00:32:50,070 Speaker 4: I love so greatly. So I'm going to push back 554 00:32:50,130 --> 00:32:51,530 Speaker 4: against it. We're going to fight it. We're going to 555 00:32:51,570 --> 00:32:54,670 Speaker 4: retake the house. And I'm going after Pete Hegseth, and 556 00:32:54,690 --> 00:32:55,410 Speaker 4: I'm going to do it hard. 557 00:32:55,830 --> 00:33:00,970 Speaker 1: Doing a live execution like this, besides being just untoward, 558 00:33:01,510 --> 00:33:05,270 Speaker 1: is actually really unusual. And his excuse for it was 559 00:33:05,350 --> 00:33:10,650 Speaker 1: basically that it serves as a deterrent. But it does 560 00:33:10,730 --> 00:33:15,240 Speaker 1: strike me as like actually really dangerous and destructive. 561 00:33:15,660 --> 00:33:18,020 Speaker 4: Yeah. Well, first of all, we know for a fact 562 00:33:18,120 --> 00:33:21,320 Speaker 4: that capital punishment doesn't serve as a deterrent. We just 563 00:33:21,340 --> 00:33:23,440 Speaker 4: know that, right? We've had capital punishment and we know 564 00:33:23,480 --> 00:33:26,060 Speaker 4: that in places and states that have capital punishment, it 565 00:33:26,120 --> 00:33:28,830 Speaker 4: actually does not deter people. It does not reduce violent crimes. 566 00:33:29,620 --> 00:33:33,090 Speaker 4: And it's, uh, besides the fact, besides the morality of it, 567 00:33:33,660 --> 00:33:36,240 Speaker 4: besides the fact that just from a criminal justice perspective, 568 00:33:36,360 --> 00:33:40,270 Speaker 4: it actually doesn't deter and reduce crime. It's also exorbitantly 569 00:33:40,290 --> 00:33:44,050 Speaker 4: more expensive and it costs, you know, folks in the 570 00:33:44,110 --> 00:33:47,290 Speaker 4: States and areas that does it, uh, uh, a lot more. 571 00:33:47,330 --> 00:33:50,690 Speaker 4: So it really doesn't make sense from any perspective, moral, 572 00:33:51,090 --> 00:33:57,620 Speaker 4: criminal justice, public safety, or financial. Uh, and, um, Pete Hegseth, 573 00:33:57,650 --> 00:34:00,080 Speaker 4: of course, doesn't care about policy and facts. For him, 574 00:34:00,100 --> 00:34:06,300 Speaker 4: this is about looking tough and catering to the far right. 575 00:34:06,480 --> 00:34:10,660 Speaker 4: That is all this is about for him. And it 576 00:34:10,739 --> 00:34:13,260 Speaker 4: is setting us back as a nation because it reduces 577 00:34:13,320 --> 00:34:15,219 Speaker 4: our credibility. The rest of the world looks at us 578 00:34:15,840 --> 00:34:18,630 Speaker 4: and they say, is this what America is about? Is 579 00:34:18,650 --> 00:34:22,009 Speaker 4: this what we do? And it also is now making 580 00:34:22,070 --> 00:34:26,299 Speaker 4: us safer. Think about our adversaries. Those who were We're 581 00:34:26,320 --> 00:34:29,239 Speaker 4: trying to combat the terrorists that we've been trying to 582 00:34:29,480 --> 00:34:33,879 Speaker 4: fight for now 20 plus years, right? This actually helps 583 00:34:33,900 --> 00:34:36,180 Speaker 4: them with their propaganda and their rhetoric. 584 00:34:36,380 --> 00:34:36,600 Speaker 1: Right. 585 00:34:37,620 --> 00:34:42,899 Speaker 4: It makes us less safe. It is a mistake every 586 00:34:42,940 --> 00:34:43,830 Speaker 4: way you can measure it. 587 00:34:45,020 --> 00:34:52,540 Speaker 1: So Tina Peters, we know, was in the Oval Office planning, supposedly, again, 588 00:34:52,620 --> 00:34:56,710 Speaker 1: this is anecdotal, but I mean, who knows, uh, supposing, 589 00:34:56,989 --> 00:35:03,780 Speaker 1: supposedly planning some kind of plan for midterms. Uh, I, I, 590 00:35:04,200 --> 00:35:08,560 Speaker 1: I'm you, you were in Colorado. She was pardoned by 591 00:35:08,739 --> 00:35:11,200 Speaker 1: polis or she was, I think she was pardoned, right. 592 00:35:11,260 --> 00:35:13,120 Speaker 1: Or commuted or something. Yeah. 593 00:35:13,180 --> 00:35:13,819 Speaker 4: Commuted. Yeah. 594 00:35:13,840 --> 00:35:15,040 Speaker 3: Commuted. Yeah. 595 00:35:15,239 --> 00:35:18,420 Speaker 1: And so, uh, now she is out in the world. 596 00:35:19,200 --> 00:35:21,820 Speaker 1: So in chaos, what, I mean, yeah. 597 00:35:22,730 --> 00:35:24,650 Speaker 4: Well, first of all, this is a surprise. This should 598 00:35:24,670 --> 00:35:27,950 Speaker 4: be a surprise to nobody. Tina Peters, a convicted felon, 599 00:35:28,010 --> 00:35:29,940 Speaker 4: convicted by a jury of her peers, by the way. 600 00:35:30,560 --> 00:35:34,120 Speaker 4: Let's also be clear whenever people make these false accusations 601 00:35:34,160 --> 00:35:37,080 Speaker 4: that this is some kind of political prosecution. These things 602 00:35:37,140 --> 00:35:40,440 Speaker 4: are done before grand juries and regular juries, right? So 603 00:35:40,860 --> 00:35:45,890 Speaker 4: it's regular everyday folks who are passing indictments and passing 604 00:35:45,930 --> 00:35:51,210 Speaker 4: judgment in these cases. And that's one. Number two, she 605 00:35:51,270 --> 00:35:56,730 Speaker 4: showed zero contrition, right? Pardons and commutations should be in 606 00:35:57,010 --> 00:36:03,259 Speaker 4: pursuit of justice. And when there's contrition and remorse, she 607 00:36:03,300 --> 00:36:06,740 Speaker 4: showed none of that. Up until the moment this happened 608 00:36:06,780 --> 00:36:09,779 Speaker 4: and she was released from prison, she doubled down on 609 00:36:09,840 --> 00:36:13,770 Speaker 4: election denialism. She doubled down on the big lie. So 610 00:36:13,870 --> 00:36:17,590 Speaker 4: why should anybody be surprised that now she's being pulled 611 00:36:17,790 --> 00:36:20,370 Speaker 4: back into the Trump orbit and is being consulted. And 612 00:36:20,410 --> 00:36:23,330 Speaker 4: she's become the poster child once again for the big 613 00:36:23,390 --> 00:36:28,590 Speaker 4: lie and for election denialism, and is helping formulate whatever 614 00:36:28,610 --> 00:36:32,930 Speaker 4: this plan is to try to suppress the election and 615 00:36:33,050 --> 00:36:36,320 Speaker 4: take away Americans' voice. She's in the center of it 616 00:36:36,440 --> 00:36:39,339 Speaker 4: once again. So yeah, she never should have been let 617 00:36:39,380 --> 00:36:42,819 Speaker 4: out of prison. And now we have to deal with 618 00:36:43,080 --> 00:36:47,580 Speaker 4: Tina Peters, this election cycle. And God knows what this 619 00:36:47,620 --> 00:36:50,069 Speaker 4: president is willing to do He's willing to do a lot. 620 00:36:50,170 --> 00:36:52,230 Speaker 4: We know that. We just have to be ready for it. 621 00:36:52,830 --> 00:36:54,969 Speaker 1: And what does that look like? Because I think there's 622 00:36:54,989 --> 00:36:59,890 Speaker 1: a lot of anxiety about the upcoming elections. Yeah. 623 00:37:00,410 --> 00:37:04,680 Speaker 4: Well, so I'm the battleground co-chair, right? So I'm in 624 00:37:04,739 --> 00:37:08,620 Speaker 4: part responsible for the midterm election. But last year I 625 00:37:08,640 --> 00:37:12,020 Speaker 4: was the recruitment co-chair. So there's nothing more important when 626 00:37:12,060 --> 00:37:14,460 Speaker 4: you're flipping red to blue seats. I flipped my seat 627 00:37:14,500 --> 00:37:17,020 Speaker 4: in 2018. I'm the first Democrat to ever hold my seat. 628 00:37:17,510 --> 00:37:20,350 Speaker 4: in Congress, in the history of my district. I held 629 00:37:20,410 --> 00:37:23,130 Speaker 4: it as a frontliner, what's called a frontliner, my first re-election. 630 00:37:23,870 --> 00:37:26,350 Speaker 4: Redistricting gave me a little bit of breathing room, although 631 00:37:26,370 --> 00:37:29,739 Speaker 4: I'm still not a deep blue sea by anyone's estimation. 632 00:37:31,040 --> 00:37:33,400 Speaker 1: What's your district, just from my own investigation? 633 00:37:33,420 --> 00:37:35,420 Speaker 4: Yeah, I'm South Metro Denver. So it's the 6th District 634 00:37:35,460 --> 00:37:38,819 Speaker 4: of Colorado. So it's the southern part of Denver and 635 00:37:38,840 --> 00:37:45,630 Speaker 4: all the communities south of Denver. So Aurora, Littleton, Centennial, Englewood... 636 00:37:45,650 --> 00:37:50,210 Speaker 4: all of those communities. That's my district. And so anyhow, 637 00:37:50,469 --> 00:37:53,430 Speaker 4: the single biggest factor is candidate quality when you're flipping 638 00:37:53,469 --> 00:37:56,109 Speaker 4: a seat, right? Because everyone always says like, well, what 639 00:37:56,140 --> 00:37:59,860 Speaker 4: about the Democratic brand and the slogan? What's our mantra? 640 00:38:00,160 --> 00:38:03,800 Speaker 4: What's our Democratic message? Like, well, we're trying to convince 641 00:38:03,880 --> 00:38:07,380 Speaker 4: voters who have either never voted for a Democrat or 642 00:38:07,400 --> 00:38:10,739 Speaker 4: haven't in a very, very long time that they should 643 00:38:10,780 --> 00:38:12,989 Speaker 4: vote for a Democrat and And what's not going to 644 00:38:13,010 --> 00:38:15,989 Speaker 4: happen in one short election cycle is these voters are 645 00:38:16,010 --> 00:38:19,850 Speaker 4: going to say, wow, Trump has let me down. He's corrupt. 646 00:38:19,930 --> 00:38:22,250 Speaker 4: He's broken all of his promises. My life has gotten worse. 647 00:38:22,830 --> 00:38:25,330 Speaker 4: But the Democrats, they're killing it now. They're just killing it. 648 00:38:25,950 --> 00:38:26,310 Speaker 3: Right. 649 00:38:27,070 --> 00:38:29,610 Speaker 4: That's not happening in places. Right. But what they are 650 00:38:29,640 --> 00:38:31,800 Speaker 4: going to say is, you know, this woman, this man 651 00:38:31,980 --> 00:38:37,060 Speaker 4: who's independent, who's showing their independent streak will relentlessly focus 652 00:38:37,120 --> 00:38:39,420 Speaker 4: on this community and the needs of this community. I'm 653 00:38:39,440 --> 00:38:41,410 Speaker 4: going to give this person a shot. That's how we 654 00:38:41,430 --> 00:38:45,660 Speaker 4: win elections. That's how we flip. So that's been my job, 655 00:38:45,719 --> 00:38:49,360 Speaker 4: recruiting those candidates, finding those candidates, mentoring them. I'm now 656 00:38:49,380 --> 00:38:53,980 Speaker 4: the battleground chair, co-chair, and we're on the roll. We're 657 00:38:54,020 --> 00:38:56,759 Speaker 4: going deep in the red territory. We're being aggressive. We're 658 00:38:56,780 --> 00:39:00,380 Speaker 4: expanding our battlefield. And then we're getting ready to get 659 00:39:00,400 --> 00:39:00,819 Speaker 4: this done. 660 00:39:01,440 --> 00:39:06,819 Speaker 1: So you guys added 18 seats. That was today, I guess, 661 00:39:06,880 --> 00:39:10,629 Speaker 1: or yesterday or recently. And it seems like you guys 662 00:39:10,750 --> 00:39:14,570 Speaker 1: keep adding seats. I saw this Stefanik seat in upstate 663 00:39:14,610 --> 00:39:17,700 Speaker 1: New York, which is in R plus 21. There was 664 00:39:18,000 --> 00:39:22,279 Speaker 1: some polling that chose the Democrat as the head. What 665 00:39:22,320 --> 00:39:23,359 Speaker 1: do you think is happening? 666 00:39:23,680 --> 00:39:25,989 Speaker 4: Yeah, well, what's happening is we actually are going back 667 00:39:26,050 --> 00:39:27,989 Speaker 4: to places that we haven't been to in a long time, 668 00:39:28,570 --> 00:39:31,180 Speaker 4: which is one of our mistakes, right? The first step 669 00:39:31,880 --> 00:39:35,420 Speaker 4: to expanding our map into actually starting to win in 670 00:39:35,460 --> 00:39:38,700 Speaker 4: places we haven't won before is we have to go 671 00:39:38,800 --> 00:39:43,490 Speaker 4: to folks and we have to, with humility, we have 672 00:39:43,550 --> 00:39:46,630 Speaker 4: to say, we're sorry we've fallen short. We have to 673 00:39:46,670 --> 00:39:49,810 Speaker 4: accept responsibility and show people that we accept responsibility for 674 00:39:49,850 --> 00:39:56,200 Speaker 4: falling short. In fall of 2024, Democrats lost 90% of 675 00:39:56,320 --> 00:40:00,160 Speaker 4: US counties in America. That's not killing it by anybody's estimation. 676 00:40:00,540 --> 00:40:03,980 Speaker 4: That is a failure. And I don't actually blame Donald 677 00:40:04,000 --> 00:40:07,220 Speaker 4: Trump for getting elected twice. This is a five-time draft dodger. 678 00:40:07,600 --> 00:40:14,239 Speaker 4: He inspired an insurrection. His first term was an unmitigated disaster. 679 00:40:14,260 --> 00:40:18,970 Speaker 4: And he won, right? So I think that was our fault, actually, 680 00:40:19,050 --> 00:40:21,550 Speaker 4: as a party. How did we lose to this guy? 681 00:40:23,250 --> 00:40:25,270 Speaker 4: So we have to go to voters and say, we're 682 00:40:25,290 --> 00:40:27,890 Speaker 4: sorry we've fallen short. And what we want to do 683 00:40:27,930 --> 00:40:31,050 Speaker 4: is we want to restart the conversation with you about 684 00:40:31,070 --> 00:40:32,690 Speaker 4: what you want your life to look like, what type 685 00:40:32,710 --> 00:40:36,250 Speaker 4: of leadership you want, what type of government you want. 686 00:40:37,190 --> 00:40:39,710 Speaker 4: And we're going to do this together. That's the first step. 687 00:40:39,770 --> 00:40:44,130 Speaker 4: The second step is having great candidates who are relentlessly focused. 688 00:40:44,700 --> 00:40:47,400 Speaker 4: on their district. That's the beauty of the house is 689 00:40:47,440 --> 00:40:51,339 Speaker 4: they're small districts, 700,000 folks. So you're basically running for 690 00:40:51,420 --> 00:40:54,700 Speaker 4: mayor of your district, right? And you're focusing on the 691 00:40:54,940 --> 00:40:59,720 Speaker 4: federal grants, casework, the needs of the public schools, the irrigation. 692 00:40:59,739 --> 00:41:00,970 Speaker 1: Constituent services. 693 00:41:00,989 --> 00:41:04,290 Speaker 4: Constituent services. There's a nuts and bolts part of this 694 00:41:04,350 --> 00:41:08,330 Speaker 4: job that is so important and really impacts people's lives. 695 00:41:08,390 --> 00:41:10,529 Speaker 4: And you're focusing on those folks. And then you're just getting, 696 00:41:10,590 --> 00:41:13,410 Speaker 4: you're getting actually real people, right? Like this actually is 697 00:41:13,450 --> 00:41:16,820 Speaker 4: an art. Like let's not get the, the, the person, 698 00:41:16,940 --> 00:41:19,580 Speaker 4: you know, playing the politician of essential casting, right? 699 00:41:19,620 --> 00:41:20,339 Speaker 3: Because guess what? 700 00:41:20,510 --> 00:41:22,550 Speaker 4: Then they go on the campaign trail and everybody knows 701 00:41:22,590 --> 00:41:25,910 Speaker 4: that they're, they're playing politician of essential casting and no 702 00:41:25,950 --> 00:41:26,410 Speaker 4: one believes it. 703 00:41:26,410 --> 00:41:27,089 Speaker 3: All right. 704 00:41:27,110 --> 00:41:29,510 Speaker 4: So let's get real people that have done real things 705 00:41:29,910 --> 00:41:31,589 Speaker 4: that are part of the community. You have actually done 706 00:41:31,610 --> 00:41:34,359 Speaker 4: things out of politics that, that are running for, for 707 00:41:34,390 --> 00:41:37,859 Speaker 4: legitimate reasons, uh, in pure reasons. And these folks win. 708 00:41:38,040 --> 00:41:40,950 Speaker 4: So that's what we're doing. And, um, uh, we are, 709 00:41:40,980 --> 00:41:43,930 Speaker 4: we are expanding the battlefield. They're contracting. So what we, 710 00:41:44,550 --> 00:41:48,510 Speaker 4: But we know that what we're seeing in our expansion 711 00:41:48,570 --> 00:41:53,530 Speaker 4: is working because the Republicans are contracting, right? So they're 712 00:41:53,570 --> 00:41:55,589 Speaker 4: seeing the same things that we're seeing. 713 00:41:55,860 --> 00:41:56,140 Speaker 3: Right. 714 00:41:56,180 --> 00:41:58,740 Speaker 4: And then they're pulling money out of their frontline districts 715 00:41:58,800 --> 00:42:02,000 Speaker 4: and their marginal districts to bolster and defend deeper red 716 00:42:02,040 --> 00:42:04,060 Speaker 4: districts right now. So they're seeing it too. 717 00:42:04,739 --> 00:42:09,180 Speaker 1: Yeah, it's sort of amazing because they had so much 718 00:42:09,239 --> 00:42:13,210 Speaker 1: more money and now they're just trying to make it last. Right. 719 00:42:13,840 --> 00:42:16,640 Speaker 1: And because I think also people don't want to throw 720 00:42:16,840 --> 00:42:19,440 Speaker 1: good money after bad and they see which way the 721 00:42:19,480 --> 00:42:23,080 Speaker 1: wind is blowing. But I wonder if you were elected 722 00:42:23,160 --> 00:42:28,540 Speaker 1: in 2018 in that first Trump midterm, which I think 723 00:42:28,600 --> 00:42:31,900 Speaker 1: it was a very different midterm cycle. And one of 724 00:42:31,940 --> 00:42:35,359 Speaker 1: the ways that I think it's different, and this is 725 00:42:35,460 --> 00:42:39,460 Speaker 1: maybe unpopular of me, but I think there's many more 726 00:42:39,520 --> 00:42:44,580 Speaker 1: double haters, right? Voters are mad, mad, mad. They feel poor. 727 00:42:44,640 --> 00:42:50,220 Speaker 1: They can't afford things they used to afford. I mean, 728 00:42:50,239 --> 00:42:54,950 Speaker 1: I see it. I see it. And I'm like, you know, 729 00:42:54,969 --> 00:42:58,870 Speaker 1: I go to the grocery store and strawberries are... I mean, 730 00:42:58,890 --> 00:43:02,969 Speaker 1: I don't think of myself as someone who is so 731 00:43:03,030 --> 00:43:04,850 Speaker 1: worried about the price of strawberries. And I was like, 732 00:43:05,030 --> 00:43:09,460 Speaker 1: oh my God, like this is jaw dropping. So clearly... 733 00:43:09,550 --> 00:43:14,649 Speaker 1: This is something we're all seeing. And so my question is, like, 734 00:43:16,550 --> 00:43:21,989 Speaker 1: you know, you have this opportunity. The corruption is pretty catastrophic. 735 00:43:23,290 --> 00:43:27,819 Speaker 1: Where are you on, like, what happens next? Because, like, 736 00:43:27,860 --> 00:43:33,380 Speaker 1: the Merit Garland route is going to end in, I mean, 737 00:43:33,719 --> 00:43:36,000 Speaker 1: in a Democratic Party that dissolves. 738 00:43:36,060 --> 00:43:36,500 Speaker 3: So, yeah. 739 00:43:36,800 --> 00:43:40,380 Speaker 1: Yeah. And you're on judiciary, you're on armed services. 740 00:43:40,500 --> 00:43:41,680 Speaker 4: I'm on intelligence. 741 00:43:42,060 --> 00:43:43,719 Speaker 1: Intelligence, right, sorry. 742 00:43:43,800 --> 00:43:48,550 Speaker 4: Intelligence, yeah. So, all right, so here's my belief. I think, 743 00:43:49,910 --> 00:43:52,350 Speaker 4: first of all, why I'm a Democrat. I came from 744 00:43:52,410 --> 00:43:58,650 Speaker 4: a deeply conservative, working-class family. All of my family are Republicans. 745 00:43:59,290 --> 00:44:03,339 Speaker 4: Most of them are Trump supporters still, even now. Really? 746 00:44:03,900 --> 00:44:06,460 Speaker 4: My focus groups are called Thanksgiving, right? 747 00:44:06,480 --> 00:44:06,560 Speaker 1: So. 748 00:44:07,530 --> 00:44:10,350 Speaker 4: You know, so how did I become a Democrat, right? 749 00:44:10,410 --> 00:44:13,410 Speaker 4: And I became a Democrat because I saw all folks 750 00:44:13,450 --> 00:44:16,450 Speaker 4: around me growing up doing everything that they were told 751 00:44:16,680 --> 00:44:19,780 Speaker 4: to achieve the American dream, fulfilling their part of the bargain, 752 00:44:20,100 --> 00:44:22,560 Speaker 4: their part of the social contract, and yet it wasn't 753 00:44:22,600 --> 00:44:25,960 Speaker 4: working for them. Couldn't buy homes, their businesses weren't working. 754 00:44:26,360 --> 00:44:28,220 Speaker 4: They were doing everything they were told they were supposed 755 00:44:28,239 --> 00:44:30,719 Speaker 4: to do, and yet it wasn't working, right? And then 756 00:44:30,739 --> 00:44:33,540 Speaker 4: me and other working class kids were sent off to 757 00:44:33,580 --> 00:44:36,480 Speaker 4: war three times in Iraq and Afghanistan, right? And the 758 00:44:36,540 --> 00:44:39,220 Speaker 4: working class kids did the fighting and dying. Working class 759 00:44:39,260 --> 00:44:41,860 Speaker 4: folks paid their taxes and paid for it. But the 760 00:44:41,880 --> 00:44:44,529 Speaker 4: elite and the wealthy didn't do a damn thing. And 761 00:44:44,550 --> 00:44:47,450 Speaker 4: they got rich off of it, right? So guess what? 762 00:44:47,650 --> 00:44:51,110 Speaker 4: I also am angry and mad about that system and 763 00:44:51,330 --> 00:44:53,630 Speaker 4: feel like it was stacked and remains stacked against the 764 00:44:53,670 --> 00:44:56,830 Speaker 4: working class in America. So that's the first recognition, that 765 00:44:56,880 --> 00:45:00,460 Speaker 4: that anger is justified, that resentment is justified because it's 766 00:45:00,540 --> 00:45:03,400 Speaker 4: real and the working class have been uniquely screwed in 767 00:45:03,440 --> 00:45:04,719 Speaker 4: America and continue to be. 768 00:45:05,210 --> 00:45:05,410 Speaker 1: Right. 769 00:45:05,450 --> 00:45:09,870 Speaker 4: And unless we're willing to tackle that seriously and both sides. 770 00:45:10,170 --> 00:45:10,370 Speaker 3: Right. 771 00:45:10,410 --> 00:45:14,980 Speaker 4: Because Americans, the vast majority of Americans recognize that the 772 00:45:15,020 --> 00:45:17,900 Speaker 4: whole system. Right. And both sides are complicit in it 773 00:45:18,180 --> 00:45:21,840 Speaker 4: to some degree. Right. And we can't go. This is 774 00:45:21,900 --> 00:45:24,400 Speaker 4: shocking to some Democrats. Actually, it's a soccer soccer to 775 00:45:24,440 --> 00:45:27,000 Speaker 4: some of my friends in kind of deep blue areas 776 00:45:27,400 --> 00:45:30,420 Speaker 4: that live in bubbles. And I tell them that the 777 00:45:30,460 --> 00:45:34,020 Speaker 4: vast majority of Americans in the heartland and the center 778 00:45:34,040 --> 00:45:37,050 Speaker 4: of the country. where I'm from and grew up, look 779 00:45:37,070 --> 00:45:38,830 Speaker 4: at both sides the same. Yeah. 780 00:45:39,010 --> 00:45:39,210 Speaker 3: Right. 781 00:45:39,670 --> 00:45:42,650 Speaker 4: It's all part of the same rigged system. Right. And 782 00:45:42,690 --> 00:45:45,689 Speaker 4: unless you realize that and are honest about it, then 783 00:45:46,870 --> 00:45:49,169 Speaker 4: we're going to keep on spinning our wheels and doing 784 00:45:49,190 --> 00:45:51,219 Speaker 4: the same thing over and over again and with the 785 00:45:51,260 --> 00:45:53,660 Speaker 4: same results. And that's not going to end well. So 786 00:45:53,680 --> 00:45:55,259 Speaker 4: we have to recognize that and we have to be 787 00:45:55,300 --> 00:45:58,380 Speaker 4: willing to aggressively take on corruption, call out our own 788 00:45:58,440 --> 00:46:02,549 Speaker 4: people when we have to, and do it relentlessly. And 789 00:46:02,570 --> 00:46:05,770 Speaker 4: then the last piece is just strength, being strong and 790 00:46:05,790 --> 00:46:08,950 Speaker 4: having the competence of our convictions. You know, Americans actually 791 00:46:08,969 --> 00:46:11,450 Speaker 4: agree with a lot of democratic policies, not all of them. 792 00:46:11,770 --> 00:46:15,410 Speaker 4: I don't agree with every democratic policy, but generally agree 793 00:46:15,489 --> 00:46:18,730 Speaker 4: with the core of what we're trying to do. But 794 00:46:18,770 --> 00:46:21,770 Speaker 4: they think we're weak and they think we're ineffective and 795 00:46:21,790 --> 00:46:24,220 Speaker 4: lack the confidence in our convictions. So damn it, let's 796 00:46:24,260 --> 00:46:27,660 Speaker 4: be strong. Let's make our case to everybody and let's 797 00:46:27,680 --> 00:46:31,590 Speaker 4: not shy away from accountability. Accountability, and oversight is a 798 00:46:31,630 --> 00:46:34,489 Speaker 4: part of the job. It's not our choice whether or 799 00:46:34,530 --> 00:46:36,890 Speaker 4: not we get to do it. The Constitution says we 800 00:46:36,930 --> 00:46:38,690 Speaker 4: have to do it. So we're going to do it 801 00:46:38,710 --> 00:46:39,890 Speaker 4: and we're going to be aggressive about it. 802 00:46:40,110 --> 00:46:41,149 Speaker 1: So what does that look like? 803 00:46:41,790 --> 00:46:44,370 Speaker 4: Well, it means conducting investigations that we have to conduct. 804 00:46:44,850 --> 00:46:47,969 Speaker 4: And none of this is about vengeance or settling the score. 805 00:46:48,010 --> 00:46:50,780 Speaker 4: I don't give a damn about it. What corruption is, 806 00:46:51,510 --> 00:46:56,900 Speaker 4: is it's theft of my constituents' money. Well, my constituents, 807 00:46:57,820 --> 00:47:00,850 Speaker 4: people that I represent in Colorado, are losing their healthcare, 808 00:47:00,890 --> 00:47:04,450 Speaker 4: losing their farms, losing their homes. The money that should 809 00:47:04,469 --> 00:47:07,469 Speaker 4: be going into their pockets is going into the pockets 810 00:47:07,570 --> 00:47:10,440 Speaker 4: of Trump and his cronies and campaign donors, and I'm 811 00:47:10,460 --> 00:47:14,140 Speaker 4: going after it, right? So pulling that money back, ending 812 00:47:14,160 --> 00:47:18,100 Speaker 4: the corruption. And then head Seth, he's incompetent, he's ruining 813 00:47:18,140 --> 00:47:20,779 Speaker 4: our military and putting our service members at risk. I'm 814 00:47:20,800 --> 00:47:22,759 Speaker 4: going after that to put a stop to it, to 815 00:47:22,800 --> 00:47:27,420 Speaker 4: protect our service members. So oversight, accountability, getting the information 816 00:47:27,460 --> 00:47:30,250 Speaker 4: we deserve, issuing subpoenas, that that is a part of 817 00:47:30,290 --> 00:47:33,049 Speaker 4: the job and it's what our constituents are asking us 818 00:47:33,070 --> 00:47:33,330 Speaker 4: to do. 819 00:47:33,710 --> 00:47:37,470 Speaker 1: So will you impeach Pete Excess? Because obviously this guy's, 820 00:47:37,590 --> 00:47:41,360 Speaker 1: I mean, like you may not have the numbers for removal, 821 00:47:41,420 --> 00:47:45,040 Speaker 1: but you may, I mean, it strikes me like the 822 00:47:45,080 --> 00:47:50,470 Speaker 1: guy is out of control. He's he, They may go 823 00:47:50,750 --> 00:47:54,390 Speaker 1: into Iran soon. They may wait till after the midterms. 824 00:47:54,710 --> 00:47:57,330 Speaker 1: They're talking about Cuba. I mean, you're not going to 825 00:47:57,370 --> 00:48:05,569 Speaker 1: have so many pieces of ammunition in your quiver, to 826 00:48:05,690 --> 00:48:09,509 Speaker 1: mix many metaphors. You're not going to have that many moves. 827 00:48:09,750 --> 00:48:10,700 Speaker 1: So what's the move? 828 00:48:11,160 --> 00:48:14,080 Speaker 4: Yeah. So I get asked about impeachment all the time 829 00:48:14,100 --> 00:48:15,600 Speaker 4: because that's what everyone thinks about. 830 00:48:15,620 --> 00:48:19,509 Speaker 1: Well, because also because Mike Johnson sent the House home 831 00:48:19,640 --> 00:48:22,969 Speaker 1: because he thought that, I mean, this is not like, 832 00:48:24,030 --> 00:48:26,109 Speaker 1: you know, an insane possibility. I mean, he sent everyone 833 00:48:26,130 --> 00:48:29,250 Speaker 1: home because he thought Pete Hicks was going to get impeached. 834 00:48:29,570 --> 00:48:33,950 Speaker 4: Yeah, that's right. So the word impeachment has taken on 835 00:48:33,969 --> 00:48:37,509 Speaker 4: this place in the American psyche because everybody knows about it. 836 00:48:37,590 --> 00:48:40,069 Speaker 4: It's been the most high profile thing. It's something that 837 00:48:40,140 --> 00:48:42,819 Speaker 4: I know a lot about because not only did we 838 00:48:43,180 --> 00:48:45,700 Speaker 4: impeach Trump twice in my time in Congress, but I 839 00:48:45,739 --> 00:48:49,100 Speaker 4: actually was one of the prosecutors. I prosecuted as an 840 00:48:49,140 --> 00:48:53,299 Speaker 4: impeachment manager the first Trump impeachment before the Senate during 841 00:48:53,340 --> 00:48:55,810 Speaker 4: my freshman term, actually. I was one of two freshmen 842 00:48:55,850 --> 00:48:58,029 Speaker 4: that were on the impeachment team. So I know how 843 00:48:58,050 --> 00:49:01,550 Speaker 4: it works deeply. But what I always point out is 844 00:49:01,590 --> 00:49:05,110 Speaker 4: that impeachment is a tool. Impeachment isn't a goal. It's 845 00:49:05,130 --> 00:49:09,180 Speaker 4: not an end result. Impeachment is a tool to achieve 846 00:49:09,219 --> 00:49:12,810 Speaker 4: a goal. And it's one of many tools that Congress 847 00:49:12,830 --> 00:49:15,940 Speaker 4: has available. We can conduct hearings. We can issue subpoenas. 848 00:49:16,360 --> 00:49:19,690 Speaker 4: We can do oversight. We can pull information and make 849 00:49:19,730 --> 00:49:24,250 Speaker 4: it public. Impeachment is one. Censure is a tool, too. 850 00:49:24,870 --> 00:49:28,290 Speaker 4: So I'm less interested in the tool than I am 851 00:49:28,330 --> 00:49:31,000 Speaker 4: in what the goal is, what we're trying to achieve. 852 00:49:31,900 --> 00:49:34,460 Speaker 4: And the goal was to try to remove Trump from office. 853 00:49:34,920 --> 00:49:38,880 Speaker 4: We decided to use impeachment twice, and that didn't work. 854 00:49:39,640 --> 00:49:39,839 Speaker 3: Right. 855 00:49:39,900 --> 00:49:43,819 Speaker 4: So maybe impeachment is the right tool. Maybe it's not. 856 00:49:44,239 --> 00:49:46,339 Speaker 4: But I'm not going to become so focused on one 857 00:49:46,440 --> 00:49:48,840 Speaker 4: tool that I lose sight of what we're trying to achieve. 858 00:49:48,880 --> 00:49:50,640 Speaker 4: And what I want to achieve is to get Pete 859 00:49:50,680 --> 00:49:53,640 Speaker 4: Hegsett out of the Pentagon. Right. And to clean up 860 00:49:53,660 --> 00:49:55,790 Speaker 4: the Pentagon. So I will look at all of the 861 00:49:55,850 --> 00:49:58,490 Speaker 4: tools that are available to me to achieve that goal. 862 00:49:58,969 --> 00:50:01,570 Speaker 4: We'll lay them all out. I'll go to my Republican 863 00:50:02,230 --> 00:50:06,370 Speaker 4: friends and colleagues and we'll see what we can put together. 864 00:50:07,050 --> 00:50:09,930 Speaker 4: and what coalition we can assemble to get that result. 865 00:50:10,150 --> 00:50:12,430 Speaker 4: And then I will move forth vigorously. 866 00:50:12,969 --> 00:50:17,359 Speaker 1: Yeah, because Republican senators aren't unhappy with him either. I mean, 867 00:50:17,380 --> 00:50:20,700 Speaker 1: we know that to be true, the reporting is. And 868 00:50:20,739 --> 00:50:23,980 Speaker 1: to get to that place already before the midterms. 869 00:50:24,280 --> 00:50:26,870 Speaker 4: Yeah, they're not happy. But as is the case so often, 870 00:50:27,590 --> 00:50:29,469 Speaker 4: people aren't happy, but what are they willing to do? 871 00:50:29,710 --> 00:50:31,549 Speaker 4: That's different than what they're actually willing to do and 872 00:50:31,570 --> 00:50:33,489 Speaker 4: the vote they're willing to take. So the question for 873 00:50:33,530 --> 00:50:36,180 Speaker 4: me is, If they're unhappy and they want him gone 874 00:50:36,200 --> 00:50:38,500 Speaker 4: and they tell me that privately, then what are they 875 00:50:38,520 --> 00:50:41,759 Speaker 4: willing to do publicly to make that happen? And, you know, 876 00:50:41,780 --> 00:50:44,609 Speaker 4: maybe they won't. They're unwilling to take an impeachment vote, 877 00:50:44,840 --> 00:50:48,069 Speaker 4: but maybe they're willing to do something else. So that's 878 00:50:48,190 --> 00:50:50,390 Speaker 4: the conversation we're going to have to have after November. 879 00:50:50,670 --> 00:50:52,710 Speaker 1: Thank you. Thank you. Thank you, Jason. 880 00:50:53,110 --> 00:50:53,690 Speaker 4: Thanks, Molly. 881 00:50:53,850 --> 00:50:54,370 Speaker 3: Yeah. Great. 882 00:50:54,489 --> 00:50:55,110 Speaker 4: Great chatting. 883 00:50:55,230 --> 00:50:55,530 Speaker 1: Always. 884 00:50:55,550 --> 00:51:00,450 Speaker 3: And now your moment of suffering. 885 00:51:00,550 --> 00:51:01,020 Speaker 1: Jesse K. 886 00:51:01,910 --> 00:51:06,489 Speaker 5: So, Molly, you know who loves Mr. Trump? Anybody who 887 00:51:06,530 --> 00:51:08,989 Speaker 5: has a sports organization that's cozy up to. I'm thinking 888 00:51:09,010 --> 00:51:12,880 Speaker 5: the Dana Whites. And then we got Gianna Infantino probably 889 00:51:12,920 --> 00:51:15,700 Speaker 5: pronouncing that pretty badly because that's how it goes. 890 00:51:16,000 --> 00:51:18,940 Speaker 1: The FIFA. Who could have seen that the people who 891 00:51:19,000 --> 00:51:23,589 Speaker 1: created a peace prize for him might also be not legit? 892 00:51:24,130 --> 00:51:28,370 Speaker 5: So there's really good reporting here that they're helping Trump 893 00:51:28,410 --> 00:51:30,310 Speaker 5: profit even further off the presidency. 894 00:51:30,620 --> 00:51:34,719 Speaker 1: See, this reminds me of like low key for Trump 895 00:51:34,719 --> 00:51:39,629 Speaker 1: 1.0 grift, right? Renting space in Trump Tower. That feels 896 00:51:39,670 --> 00:51:43,130 Speaker 1: like Trump 1.0, like the kind of grift- The hotel. Right. 897 00:51:43,230 --> 00:51:46,190 Speaker 1: It's like low key grift. We know it's wrong, but 898 00:51:46,250 --> 00:51:49,070 Speaker 1: it's not. I feel like what we're used to in 899 00:51:49,110 --> 00:51:52,069 Speaker 1: Trump 2.0 is like, he did a meme coin. He 900 00:51:52,150 --> 00:51:57,240 Speaker 1: earned $ 4 billion. This is more of the sort of subtle. 901 00:51:57,360 --> 00:52:01,980 Speaker 1: So FIFA signed a lease last year for $ 4 million, 902 00:52:02,000 --> 00:52:06,060 Speaker 1: a seven-year lease for the 17th floor suite in the 903 00:52:06,120 --> 00:52:10,320 Speaker 1: New York building, which is, so it's basically a bribe. 904 00:52:10,510 --> 00:52:13,270 Speaker 1: But it's not a bribe like the way, I feel like, 905 00:52:13,590 --> 00:52:16,529 Speaker 1: who could have seen that the organization that created a 906 00:52:16,570 --> 00:52:19,910 Speaker 1: fake peace prize for him would also be bribing him 907 00:52:19,950 --> 00:52:23,509 Speaker 1: by renting office space? I mean, not me. Like, it 908 00:52:23,530 --> 00:52:24,709 Speaker 1: just fits too well. 909 00:52:25,110 --> 00:52:27,230 Speaker 5: Who could have seen that the organization that overlooked some 910 00:52:27,250 --> 00:52:29,969 Speaker 5: of the greatest worker exploitation of our time would look 911 00:52:30,010 --> 00:52:31,250 Speaker 5: the other way? Yeah. 912 00:52:31,350 --> 00:52:35,450 Speaker 1: Who could have seen that FIFA, basically, I mean, like, 913 00:52:35,469 --> 00:52:38,189 Speaker 1: you know, next you're going to say bad things about 914 00:52:38,230 --> 00:52:38,910 Speaker 1: Dana White. 915 00:52:39,890 --> 00:52:40,370 Speaker 5: Never be. 916 00:52:40,450 --> 00:52:41,730 Speaker 3: No, no, no. 917 00:52:41,850 --> 00:52:45,810 Speaker 1: Next you're going to say mean things about, yeah, RFK Jr. 918 00:52:45,890 --> 00:52:47,210 Speaker 1: not being a good husband. 919 00:52:49,070 --> 00:52:50,090 Speaker 4: No evidence of that. 920 00:52:50,110 --> 00:52:50,989 Speaker 5: No evidence. 921 00:52:51,110 --> 00:52:52,070 Speaker 1: No evidence. 922 00:52:52,680 --> 00:52:57,080 Speaker 2: That's it for this episode of Fast Politics. Tune in 923 00:52:57,460 --> 00:53:02,810 Speaker 2: every Monday, Wednesday, Thursday, and Saturday to hear the best 924 00:53:02,890 --> 00:53:07,210 Speaker 2: minds in politics make sense of all this chaos. If 925 00:53:07,250 --> 00:53:10,340 Speaker 2: you enjoy this podcast, please send it to a friend 926 00:53:10,820 --> 00:53:12,420 Speaker 2: and keep the conversation going. 927 00:53:12,840 --> 00:53:13,960 Speaker 1: Thanks for listening.