1 00:00:00,680 --> 00:00:04,200 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,400 --> 00:00:07,160 Speaker 1: where we discuss the top political headlines with some of 3 00:00:07,200 --> 00:00:12,000 Speaker 1: today's best minds. And Donald Trump says, I'm allowed to 4 00:00:12,080 --> 00:00:16,639 Speaker 1: do whatever I want with classified info. I'm shocked we 5 00:00:16,760 --> 00:00:20,160 Speaker 1: have such an interesting show. Today, Senator Bob Casey talks 6 00:00:20,200 --> 00:00:23,639 Speaker 1: to us about his run for reelection in this critical 7 00:00:23,680 --> 00:00:26,759 Speaker 1: swing state of Pennsylvania. Then we'll talk to New York 8 00:00:26,760 --> 00:00:30,320 Speaker 1: Times columnist and close personal friend of mine, Lydia Paul Green, 9 00:00:30,960 --> 00:00:34,600 Speaker 1: about her travel to Chad and how she covers the 10 00:00:34,640 --> 00:00:38,160 Speaker 1: story that haunt us. But first we have the Good 11 00:00:38,200 --> 00:00:43,640 Speaker 1: Liars Jason Selgvig, who has a live show on the 12 00:00:43,720 --> 00:00:49,040 Speaker 1: fifteenth of September in Brooklyn. Welcome to Fast Politics. 13 00:00:49,159 --> 00:00:51,560 Speaker 2: Jason, thanks for having me appreciate it. 14 00:00:51,720 --> 00:00:54,480 Speaker 1: You are a good liar. You are one of the 15 00:00:54,520 --> 00:00:57,280 Speaker 1: two good liars. Are you a good liar? Does everyone 16 00:00:57,320 --> 00:01:00,000 Speaker 1: ask you that? That's annoying? Never mind, don't answer that. 17 00:01:00,400 --> 00:01:01,400 Speaker 3: I don't know. I don't know. 18 00:01:01,400 --> 00:01:04,280 Speaker 2: Maybe I am a good liar. We came up with 19 00:01:04,280 --> 00:01:08,080 Speaker 2: a name about ten years ago, and it's there and 20 00:01:08,120 --> 00:01:10,399 Speaker 2: so it's got to stay. So yes, I am a 21 00:01:10,400 --> 00:01:12,560 Speaker 2: good liar. Technically, I don't know. If I am a 22 00:01:12,600 --> 00:01:14,360 Speaker 2: good liar technically though. 23 00:01:14,200 --> 00:01:17,080 Speaker 1: As someone who has the name of my mother's second 24 00:01:17,160 --> 00:01:20,360 Speaker 1: husband who I never met, I can speak to what 25 00:01:20,400 --> 00:01:23,959 Speaker 1: it's like to have a name that nobody realized would 26 00:01:24,120 --> 00:01:24,920 Speaker 1: haunt you forever. 27 00:01:27,520 --> 00:01:29,160 Speaker 2: Yeah. I like the name of the Good Liars to 28 00:01:29,200 --> 00:01:31,640 Speaker 2: be honest, But yeah, it kind of changed. We've changed 29 00:01:31,680 --> 00:01:34,000 Speaker 2: kind of what we've done over the last couple of years. 30 00:01:34,040 --> 00:01:38,800 Speaker 2: You know, in twenty sixteen, we were exclusively pranking presidential candidates. 31 00:01:38,840 --> 00:01:41,639 Speaker 2: That was what we did for our movie Undecided. We've 32 00:01:41,760 --> 00:01:45,520 Speaker 2: kind of moved from where we started, which was like 33 00:01:45,840 --> 00:01:48,640 Speaker 2: basically acting like we were investment bankers at Occupy Wall 34 00:01:48,680 --> 00:01:50,720 Speaker 2: Street was the first thing to Rob and I did together. 35 00:01:51,040 --> 00:01:51,760 Speaker 1: That's perfect. 36 00:01:51,880 --> 00:01:54,760 Speaker 2: Yeah, we had a movement called Occupy Occupy Wall Street. 37 00:01:55,560 --> 00:01:57,840 Speaker 2: We thought we were doing a sketch, but investment bankers 38 00:01:57,880 --> 00:02:01,240 Speaker 2: thought it was real and came down in actually protested 39 00:02:01,280 --> 00:02:03,680 Speaker 2: with us as we were making fun of them to 40 00:02:03,720 --> 00:02:06,560 Speaker 2: their face. So it's kind of evolved over time, and 41 00:02:06,600 --> 00:02:09,120 Speaker 2: now you're seeing more of these interviews that we've done. 42 00:02:09,160 --> 00:02:11,919 Speaker 2: We're still doing some prank sons of politicians. So nobody 43 00:02:11,960 --> 00:02:14,080 Speaker 2: should feel too safe in these primaries. 44 00:02:14,080 --> 00:02:16,120 Speaker 1: I don't think let me ask you, who do you 45 00:02:16,160 --> 00:02:19,359 Speaker 1: think is the most prankable politician right now? 46 00:02:19,520 --> 00:02:22,480 Speaker 2: Ooh, that's a good question. That's a good question of 47 00:02:22,560 --> 00:02:25,760 Speaker 2: avik Ramaswami is he's very smooth. 48 00:02:25,760 --> 00:02:28,279 Speaker 1: Hitting the head by truth, Yeah. 49 00:02:28,000 --> 00:02:30,080 Speaker 2: By true. And that was I saw that video. You 50 00:02:30,080 --> 00:02:33,840 Speaker 2: posted that video yesterday getting hit in the head with truth. 51 00:02:33,880 --> 00:02:37,560 Speaker 2: It's just beautiful symbolism, beautiful symbolism truth. 52 00:02:37,960 --> 00:02:40,600 Speaker 1: I would say that if you have a setup as 53 00:02:40,639 --> 00:02:44,360 Speaker 1: a politician that looks like something that comes from veep right, 54 00:02:44,480 --> 00:02:47,120 Speaker 1: you can pretty much guarantee that what will happen is 55 00:02:47,160 --> 00:02:49,119 Speaker 1: something that would happen on veep right. 56 00:02:49,120 --> 00:02:51,760 Speaker 2: You could almost hear the viep music playing underneath it 57 00:02:51,760 --> 00:02:54,000 Speaker 2: as it happened. I think he's funny though, I mean, 58 00:02:54,040 --> 00:02:56,119 Speaker 2: he's just it's so funny that he wants to raise 59 00:02:56,160 --> 00:02:58,600 Speaker 2: the voting age to twenty five. I mean, it's not funny, 60 00:02:58,600 --> 00:03:02,519 Speaker 2: it's like scary. But he like did that Eminem impression 61 00:03:02,639 --> 00:03:04,640 Speaker 2: or like a performance. 62 00:03:04,240 --> 00:03:06,640 Speaker 1: And then Eminem was like stop. 63 00:03:06,720 --> 00:03:09,600 Speaker 2: Right, but he did it, and it like the performance 64 00:03:09,680 --> 00:03:11,720 Speaker 2: was like he was really committed to it and it 65 00:03:11,800 --> 00:03:14,600 Speaker 2: kind of felt like a high school talent show when 66 00:03:14,600 --> 00:03:16,639 Speaker 2: he was doing it. And it's funny that he wants 67 00:03:16,680 --> 00:03:19,000 Speaker 2: to raise the voting age when he's actually acting like 68 00:03:19,000 --> 00:03:20,520 Speaker 2: an eighteen year old right now. 69 00:03:20,800 --> 00:03:23,640 Speaker 1: Yeah, his whole energy is this like and I say, 70 00:03:23,680 --> 00:03:26,840 Speaker 1: this is the mother of one debate kid and one 71 00:03:26,880 --> 00:03:29,600 Speaker 1: model u N kid, Like the worst of high school 72 00:03:29,600 --> 00:03:31,320 Speaker 1: debate is the vague. 73 00:03:31,480 --> 00:03:34,680 Speaker 2: Right, He's got the smarminess to him too, And it's funny. 74 00:03:34,720 --> 00:03:37,120 Speaker 2: We talked to We went to the debate in Milwaukee, 75 00:03:37,200 --> 00:03:39,360 Speaker 2: and it was very hot. It was very hot. There 76 00:03:39,480 --> 00:03:41,880 Speaker 2: was one hundred and fifteen feet index. That's really has 77 00:03:41,920 --> 00:03:43,560 Speaker 2: nothing to do with what I'm about to talk about. 78 00:03:43,360 --> 00:03:46,520 Speaker 1: But as in middle aged too, I really do want 79 00:03:46,560 --> 00:03:49,520 Speaker 1: to know about the weather, and also what you ate 80 00:03:49,560 --> 00:03:50,840 Speaker 1: and where you stayed. Continue. 81 00:03:51,000 --> 00:03:54,000 Speaker 2: Okay, well I'll get to my meals and lodging in 82 00:03:54,040 --> 00:03:56,400 Speaker 2: a second. But we talked to one of his supporters. 83 00:03:56,480 --> 00:03:58,440 Speaker 2: I talked to this guy who was in like a 84 00:03:58,680 --> 00:04:02,000 Speaker 2: it was like a colonial revel lutionary war style marching 85 00:04:02,080 --> 00:04:04,760 Speaker 2: band that was like for him. And I talked to 86 00:04:04,800 --> 00:04:07,640 Speaker 2: this guy and we found it like talking to Trump supporters, 87 00:04:07,640 --> 00:04:11,680 Speaker 2: that sometimes they kind of sound like Trump a little bit, 88 00:04:11,840 --> 00:04:15,000 Speaker 2: and this guy kind of sounded like Ramaswami, like he 89 00:04:15,120 --> 00:04:17,560 Speaker 2: sounded like he like was kind of sticking his nose 90 00:04:17,640 --> 00:04:20,200 Speaker 2: up at me. And I asked him about raising the 91 00:04:20,279 --> 00:04:22,839 Speaker 2: voting age to eighteen. I made the point that like 92 00:04:22,920 --> 00:04:26,520 Speaker 2: people you know believe they are sixty believe JFK. Junior 93 00:04:26,560 --> 00:04:29,720 Speaker 2: is currently the vice president, Like that doesn't mean you're informed. 94 00:04:29,960 --> 00:04:34,000 Speaker 2: And he said there are low like low information voting happens, 95 00:04:34,200 --> 00:04:37,039 Speaker 2: and some eighteen year olds you know, are not informed. 96 00:04:37,400 --> 00:04:40,560 Speaker 2: But I was very informed when I was eighteen. He 97 00:04:40,600 --> 00:04:42,520 Speaker 2: had to like throw in that. He was, like, I 98 00:04:42,560 --> 00:04:44,960 Speaker 2: am the exception of the rule because I am very smart, 99 00:04:45,000 --> 00:04:47,320 Speaker 2: just like my candidate. It was interesting to see them 100 00:04:47,320 --> 00:04:48,279 Speaker 2: body of the candidate. 101 00:04:48,400 --> 00:04:50,640 Speaker 1: That is amazing. What I think a lot of us 102 00:04:50,640 --> 00:04:53,320 Speaker 1: are interested in is who was there and who were 103 00:04:53,360 --> 00:04:54,800 Speaker 1: they excited about. 104 00:04:54,880 --> 00:04:58,000 Speaker 2: The biggest crowd of people were for Trump. There was 105 00:04:58,040 --> 00:05:00,359 Speaker 2: like a group of like forty to sixty people that 106 00:05:00,400 --> 00:05:02,960 Speaker 2: were kind of standing outside and they didn't move, you know, 107 00:05:02,960 --> 00:05:04,720 Speaker 2: they didn't go inside. They were just Trump spores that 108 00:05:04,839 --> 00:05:08,080 Speaker 2: made the trek there to support Donald Trump. But they 109 00:05:08,800 --> 00:05:11,240 Speaker 2: they were there, you know, not only to support Trump, 110 00:05:11,320 --> 00:05:14,680 Speaker 2: but to make fun of Ron DeSantis, which I thought 111 00:05:14,880 --> 00:05:16,320 Speaker 2: was kind of It was kind of nice to find 112 00:05:16,360 --> 00:05:18,320 Speaker 2: some common ground because they were making fun of him, 113 00:05:18,320 --> 00:05:19,920 Speaker 2: and some of that was kind. 114 00:05:19,760 --> 00:05:23,800 Speaker 1: Of funny for those who have somehow managed to blank 115 00:05:23,839 --> 00:05:24,960 Speaker 1: this from their brains. 116 00:05:25,120 --> 00:05:28,159 Speaker 2: And good for you. If that's good for you, I 117 00:05:28,200 --> 00:05:29,119 Speaker 2: wish I was you. 118 00:05:29,200 --> 00:05:30,960 Speaker 1: Yeah, me too. Trump was not there. 119 00:05:31,360 --> 00:05:32,920 Speaker 2: He was not there. Not only was he not there, 120 00:05:33,000 --> 00:05:35,840 Speaker 2: he ran counter programming to the people on the day. 121 00:05:35,920 --> 00:05:37,920 Speaker 2: He showed such a lack of respect for the people 122 00:05:37,960 --> 00:05:40,359 Speaker 2: on the debate stage that he ran counter programming to 123 00:05:40,440 --> 00:05:43,400 Speaker 2: the debate. His own interview with Tucker Carlson on Twitter 124 00:05:43,680 --> 00:05:46,680 Speaker 2: on Twitter on X excuse me, it's X. Let's get 125 00:05:46,680 --> 00:05:47,760 Speaker 2: it right. Let's get it right. 126 00:05:47,960 --> 00:05:48,880 Speaker 1: Really, what am I doing? 127 00:05:49,000 --> 00:05:51,239 Speaker 2: They were the Trump supporters there making fun of Ronda Santis. 128 00:05:51,440 --> 00:05:53,800 Speaker 2: But you know, we kind of expected that there would 129 00:05:53,839 --> 00:05:56,840 Speaker 2: be kind of groups of people holding signs for their 130 00:05:57,080 --> 00:05:59,400 Speaker 2: man or woman running for president, but we really didn't 131 00:05:59,400 --> 00:06:02,359 Speaker 2: see a lot of support for the other candidates. Outward support. 132 00:06:02,640 --> 00:06:06,360 Speaker 2: There were a couple of Rondastanti's shirts, some Nicky Haley stuff, 133 00:06:06,400 --> 00:06:09,040 Speaker 2: but I literally I don't think de rometer. I saw 134 00:06:09,160 --> 00:06:11,000 Speaker 2: or talked to one person who was like, I'm so 135 00:06:11,040 --> 00:06:12,720 Speaker 2: excited about Mike Pence. 136 00:06:14,920 --> 00:06:17,839 Speaker 1: I mean, it's like a statement that you say that 137 00:06:18,000 --> 00:06:18,720 Speaker 1: sounds like. 138 00:06:18,640 --> 00:06:22,360 Speaker 2: You're being iron No, but it literally literally not one person. 139 00:06:22,520 --> 00:06:24,800 Speaker 2: So it was it was interesting because it really did 140 00:06:24,839 --> 00:06:27,000 Speaker 2: feel like it was the B Team debate because it was. 141 00:06:27,360 --> 00:06:30,360 Speaker 2: And I was just shocked that people were still even 142 00:06:30,400 --> 00:06:33,120 Speaker 2: the people that were four other candidates that we talked to, 143 00:06:33,520 --> 00:06:36,839 Speaker 2: they still were like, well, I still would support Donald 144 00:06:36,880 --> 00:06:39,000 Speaker 2: Trump if he was the nominee. And it's just he's 145 00:06:39,080 --> 00:06:41,000 Speaker 2: just the lack of respect he's showing for all these 146 00:06:41,000 --> 00:06:44,800 Speaker 2: candidates running counter programming. His whole game is just making 147 00:06:44,839 --> 00:06:48,200 Speaker 2: fun of everybody, and they're still like, he would be 148 00:06:48,279 --> 00:06:50,279 Speaker 2: my guy. Nicky Haley doesn't make it, he'd he'd be 149 00:06:50,320 --> 00:06:52,279 Speaker 2: my guy. If Rondo Santis didn't make it, he'd be 150 00:06:52,320 --> 00:06:52,680 Speaker 2: my guy. 151 00:06:53,040 --> 00:06:56,760 Speaker 1: What I like about Trump is that there are people 152 00:06:56,760 --> 00:06:59,200 Speaker 1: on the right who are now making the case that 153 00:06:59,279 --> 00:07:03,320 Speaker 1: the indicts, because they help him with his base who 154 00:07:03,360 --> 00:07:06,240 Speaker 1: live on earth too, that they will somehow help him 155 00:07:06,279 --> 00:07:07,240 Speaker 1: with swing voters. 156 00:07:07,760 --> 00:07:12,960 Speaker 2: Yeah. I look, I don't want to make any predictions. 157 00:07:12,960 --> 00:07:15,840 Speaker 2: I've it's so wrong about stuff so wrong at twenty sixteen. 158 00:07:16,040 --> 00:07:19,000 Speaker 2: I don't know. Maybe maybe who knows, because you talk 159 00:07:19,040 --> 00:07:21,440 Speaker 2: to talk to some people, you know, we talk to 160 00:07:21,440 --> 00:07:24,080 Speaker 2: people at Trump arow is who basically get their news 161 00:07:24,640 --> 00:07:27,920 Speaker 2: from Donald Trump, not from news sources like actually from 162 00:07:27,920 --> 00:07:30,200 Speaker 2: Donald Trump his social media and all that stuff. 163 00:07:30,360 --> 00:07:33,000 Speaker 1: Well, and also Newsmax right. 164 00:07:32,840 --> 00:07:35,800 Speaker 2: And Newsmax and uh Oa n which has kind of 165 00:07:35,800 --> 00:07:38,400 Speaker 2: fallen off, I think, but Newsmax is a big one now. 166 00:07:38,680 --> 00:07:40,840 Speaker 1: And the Epoch Times. 167 00:07:40,520 --> 00:07:44,720 Speaker 2: Yes, yes, and what is it right side right Side broadcasting. 168 00:07:44,160 --> 00:07:48,840 Speaker 1: Broadcasting Epoch Times though is fascinating because uh owned by 169 00:07:48,840 --> 00:07:52,280 Speaker 1: a Chinese cult. Jason, my next question for you, is 170 00:07:52,320 --> 00:07:54,120 Speaker 1: it the stupidest time to be alive? 171 00:07:55,840 --> 00:07:59,920 Speaker 2: Yes? Well, yes, yeah, it must be. It must be me. 172 00:08:00,040 --> 00:08:02,400 Speaker 2: It definitely feels that way. You know, we were at 173 00:08:02,440 --> 00:08:05,640 Speaker 2: January sixth, We were there. What happened that day, the 174 00:08:05,640 --> 00:08:09,720 Speaker 2: culination of just a guy, not a being able to 175 00:08:09,840 --> 00:08:14,800 Speaker 2: admit that he lost an election and just breaking him psychologically, 176 00:08:14,880 --> 00:08:18,239 Speaker 2: and it ended with like the storming of the US capital. 177 00:08:19,040 --> 00:08:22,160 Speaker 2: And now here we are, you know, three almost three 178 00:08:22,240 --> 00:08:26,240 Speaker 2: years later, and he is the leading candidate president. That 179 00:08:26,320 --> 00:08:29,040 Speaker 2: doesn't get much stupider than that, in my opinion, like 180 00:08:29,120 --> 00:08:32,800 Speaker 2: that is just the stupidest end result and the fact 181 00:08:32,800 --> 00:08:35,480 Speaker 2: that he's like neck and neck with Biden in these polls. 182 00:08:35,920 --> 00:08:38,640 Speaker 2: I just don't. I don't get it. There's part of it. 183 00:08:38,679 --> 00:08:40,640 Speaker 2: I just want to pull my hair out thinking about it, 184 00:08:40,760 --> 00:08:42,640 Speaker 2: like why is this happening? How is this happening in 185 00:08:42,640 --> 00:08:44,959 Speaker 2: the US. To answer your question, yes, this has to 186 00:08:45,000 --> 00:08:47,640 Speaker 2: be the stupidest timeline. We must have gotten off of 187 00:08:47,679 --> 00:08:52,040 Speaker 2: reality at some point, like there was like something happened, 188 00:08:52,080 --> 00:08:54,320 Speaker 2: there was like a glitch in the matrix or something, 189 00:08:54,679 --> 00:08:56,840 Speaker 2: and we've gone on this path that is just like 190 00:08:57,400 --> 00:09:02,200 Speaker 2: whatever the dumbest thing that could possibly happen happens. And yes, 191 00:09:02,280 --> 00:09:03,760 Speaker 2: so this is the stupidest timeline. 192 00:09:03,800 --> 00:09:07,240 Speaker 1: So let's just do two seconds here. Speaking of stupid 193 00:09:07,880 --> 00:09:10,559 Speaker 1: we are here talking about what's happening right now. Trump 194 00:09:10,559 --> 00:09:12,280 Speaker 1: has said he's allowed to do whatever he wants is 195 00:09:12,360 --> 00:09:16,920 Speaker 1: classified info. He's extremely excited to testify in the federal 196 00:09:16,960 --> 00:09:18,400 Speaker 1: government's case against him. 197 00:09:18,559 --> 00:09:21,120 Speaker 2: Okay, you think that's actually gonna happen. You think he's 198 00:09:21,160 --> 00:09:23,760 Speaker 2: actually going to testify. I don't think that's going to happen. 199 00:09:23,960 --> 00:09:25,439 Speaker 2: He also said he was going to show all the 200 00:09:25,520 --> 00:09:27,679 Speaker 2: voter fraud on that Monday. He was going to show 201 00:09:27,720 --> 00:09:29,360 Speaker 2: it all weeks. 202 00:09:29,440 --> 00:09:30,600 Speaker 1: Yeah, two weeks. 203 00:09:30,760 --> 00:09:32,160 Speaker 2: Also, he was gonna have a healthcare plan. 204 00:09:32,280 --> 00:09:36,560 Speaker 1: I don't know it's better than Obamacare. It's happening right now. 205 00:09:39,200 --> 00:09:41,560 Speaker 2: I don't want to, like, I don't really don't want to, 206 00:09:41,640 --> 00:09:43,160 Speaker 2: you know, put my food in my mouth here. But 207 00:09:43,280 --> 00:09:46,400 Speaker 2: I think maybe he might be lying. I don't know. 208 00:09:46,559 --> 00:09:50,600 Speaker 2: I mean, there's no history of him lying about everything ever, 209 00:09:51,080 --> 00:09:53,760 Speaker 2: so I don't know. I don't think his lawyers are 210 00:09:53,760 --> 00:09:55,079 Speaker 2: going to be like, you're not getting on the stamp. 211 00:09:56,320 --> 00:09:58,840 Speaker 1: They'd be like, we we don't want to get murdered. 212 00:09:59,000 --> 00:10:03,640 Speaker 1: Day three on the Ken Paxton impeachment trial. I mean, 213 00:10:03,679 --> 00:10:07,160 Speaker 1: this is must see TV discuss. 214 00:10:07,120 --> 00:10:09,880 Speaker 2: I think it's interesting that everyone kind of came together 215 00:10:09,960 --> 00:10:13,559 Speaker 2: in Texas to like compeach it. It's just you've got 216 00:10:13,559 --> 00:10:16,840 Speaker 2: Marjorie Taylor Green sticking up for him, which is just 217 00:10:17,520 --> 00:10:19,240 Speaker 2: I don't know if you want someone to endorse you 218 00:10:19,520 --> 00:10:22,000 Speaker 2: like I think. She tweeted about it last week. Two 219 00:10:22,080 --> 00:10:28,559 Speaker 2: days later, she was on Alex Jones show. Literally, okay, 220 00:10:28,600 --> 00:10:31,440 Speaker 2: back to the dumbest timeline. Yes, this is the dumbest timeline. 221 00:10:31,480 --> 00:10:34,440 Speaker 1: Do you see the video of Alex Jones mad at 222 00:10:34,480 --> 00:10:37,760 Speaker 1: Trump about the vaccines? No, right, I'll find that it's 223 00:10:37,760 --> 00:10:39,840 Speaker 1: something to you, But I mean it does seem like 224 00:10:39,920 --> 00:10:46,080 Speaker 1: Alex Jones is very much in this political milieu right now. 225 00:10:46,160 --> 00:10:48,760 Speaker 1: We have the sort of thought leaders of the Republican 226 00:10:48,800 --> 00:10:52,200 Speaker 1: Party Alex Jones, Marjorie Taylor Green, Ken Paxton. 227 00:10:52,559 --> 00:10:55,960 Speaker 2: This is another figure where it's you'd think, if the 228 00:10:56,080 --> 00:11:00,000 Speaker 2: Republican Party had any decency, like the fact that he's 229 00:11:00,080 --> 00:11:03,120 Speaker 2: said that the Sandy Hook bass shooting was fake, there 230 00:11:03,160 --> 00:11:05,200 Speaker 2: were actors, you'd think that's it. 231 00:11:05,320 --> 00:11:08,319 Speaker 1: Did you just say the sentence, if the Republican Party 232 00:11:08,360 --> 00:11:13,640 Speaker 1: had any decency, you enjoy two thousand and three. 233 00:11:15,000 --> 00:11:18,440 Speaker 2: That's funny because I was watching the RFK documentary, not 234 00:11:18,520 --> 00:11:21,320 Speaker 2: Junior money. The RFK documentary is on Netflix, came out 235 00:11:21,400 --> 00:11:22,920 Speaker 2: years ago, and I just watched it because you. 236 00:11:22,880 --> 00:11:26,920 Speaker 1: Know, Junior is actually going to be the vice president. 237 00:11:27,240 --> 00:11:30,480 Speaker 2: No, that's JFK Junior. Sorry, I hate fact check. You 238 00:11:30,520 --> 00:11:32,760 Speaker 2: here JFK Junior, And he's not going to be the 239 00:11:32,800 --> 00:11:36,199 Speaker 2: vice president. He is currently the vice president and the 240 00:11:36,280 --> 00:11:40,240 Speaker 2: president right now. According to my sources. These are my sources, 241 00:11:40,640 --> 00:11:45,920 Speaker 2: that is is actually JFK Senior. I'm not even kidding, 242 00:11:46,040 --> 00:11:48,480 Speaker 2: like this sounds like I'm like making something up, but 243 00:11:48,559 --> 00:11:51,320 Speaker 2: this is something we have heard from multiple people. The 244 00:11:51,440 --> 00:11:54,079 Speaker 2: JFK Senior who would be I think one hundred. 245 00:11:54,520 --> 00:11:54,720 Speaker 3: I think. 246 00:11:54,760 --> 00:11:56,160 Speaker 2: I asked the guy, it's like, would he be like 247 00:11:56,200 --> 00:11:57,959 Speaker 2: one hundred and five right now? And he was like 248 00:11:57,960 --> 00:11:59,839 Speaker 2: one hundred and three, and I was like, I'm so 249 00:12:00,000 --> 00:12:00,800 Speaker 2: all right, I got it. 250 00:12:00,880 --> 00:12:03,400 Speaker 1: Mess that up. The people who think Biden is too 251 00:12:03,440 --> 00:12:07,480 Speaker 1: old to run are quite happy with their real president 252 00:12:07,559 --> 00:12:09,840 Speaker 1: who was one hundred and three years old and also dead. 253 00:12:09,960 --> 00:12:14,000 Speaker 2: Right, currently dead, currently dead JFK. And it's not like 254 00:12:14,120 --> 00:12:17,240 Speaker 2: it's like there's a question. This isn't like, you know, 255 00:12:17,320 --> 00:12:21,080 Speaker 2: like JFK senior or junior, excuse me. They're like, well, 256 00:12:21,120 --> 00:12:23,360 Speaker 2: maybe the plane didn't crash. He knew about it, so 257 00:12:23,440 --> 00:12:26,080 Speaker 2: he escaped it and all this stuff like there's a 258 00:12:26,440 --> 00:12:31,440 Speaker 2: video of like some pretty gruesome stuff like brains and stuff, 259 00:12:31,480 --> 00:12:32,800 Speaker 2: like we know that this happened. 260 00:12:32,920 --> 00:12:36,000 Speaker 1: Oliver Stone made movies about it, so we know it's true. 261 00:12:36,160 --> 00:12:38,199 Speaker 2: That's true. You know. I tried to watch that recently 262 00:12:38,440 --> 00:12:40,400 Speaker 2: and I couldn't believe that this was like the movie 263 00:12:40,400 --> 00:12:42,400 Speaker 2: that everyone loved so much years ago. 264 00:12:42,600 --> 00:12:44,000 Speaker 1: Are you younger than we are? 265 00:12:44,160 --> 00:12:45,880 Speaker 2: I was born in the eighties. That's all. I'll say. 266 00:12:46,000 --> 00:12:46,320 Speaker 2: That's all. 267 00:12:46,320 --> 00:12:49,240 Speaker 1: I'll say. That's not good, all right, We're never having 268 00:12:49,240 --> 00:12:49,840 Speaker 1: you back. 269 00:12:51,000 --> 00:12:52,400 Speaker 2: Thanks, because we should. 270 00:12:52,520 --> 00:12:55,520 Speaker 1: That's all right. Anyone younger than us is out. 271 00:12:55,720 --> 00:12:58,319 Speaker 2: This is like a little bit sounding like a Republican 272 00:12:58,360 --> 00:13:02,679 Speaker 2: presidential candidate and how baby, Yeah, it's a little odd 273 00:13:02,920 --> 00:13:08,160 Speaker 2: only fascist and we're raising the guesting age. 274 00:13:08,320 --> 00:13:12,360 Speaker 1: But I have to say, like here we are watching this, 275 00:13:12,960 --> 00:13:15,480 Speaker 1: I truly believe that we're in a moment where the 276 00:13:15,520 --> 00:13:17,280 Speaker 1: mainstream media and again, like I don't want to be 277 00:13:17,360 --> 00:13:19,199 Speaker 1: one of those people who talks about the mainstream media 278 00:13:19,320 --> 00:13:21,640 Speaker 1: and doesn't admit to be a member of it. I 279 00:13:21,720 --> 00:13:24,320 Speaker 1: am a member of it. I write for mainstream media organizations. 280 00:13:24,320 --> 00:13:26,880 Speaker 1: I go on. But it does seem like we're in 281 00:13:26,880 --> 00:13:32,079 Speaker 1: a moment where the mainstream media is so incredibly despondent 282 00:13:32,280 --> 00:13:35,000 Speaker 1: about having to do twenty nineteen again. 283 00:13:35,120 --> 00:13:37,640 Speaker 2: Just like it's a rerun and we're like the last 284 00:13:37,679 --> 00:13:40,520 Speaker 2: thing people want to do is is live again. 285 00:13:40,480 --> 00:13:43,200 Speaker 1: This yeah, yea yeah, I mean, do you think that's right? 286 00:13:43,360 --> 00:13:44,080 Speaker 1: Do you see that? 287 00:13:44,200 --> 00:13:45,880 Speaker 2: I mean, are you excited for this election? 288 00:13:46,280 --> 00:13:50,520 Speaker 1: I'm resigned to reality, and I you know, look what 289 00:13:50,679 --> 00:13:53,520 Speaker 1: I love it for Republicans to be like, you know, 290 00:13:54,080 --> 00:13:57,839 Speaker 1: didn't you say something hilarious about Republicans choosing decency? You know, 291 00:13:57,960 --> 00:14:01,560 Speaker 1: maybe we shouldn't nominate this guy who has been impeached 292 00:14:01,600 --> 00:14:04,360 Speaker 1: twice and has all the indictments. Perhaps he might not 293 00:14:04,440 --> 00:14:06,320 Speaker 1: be the big winner we think he is. But I 294 00:14:06,440 --> 00:14:08,120 Speaker 1: just can't imagine that happens. 295 00:14:08,440 --> 00:14:11,360 Speaker 2: It's like they've lost control of the train, really, because 296 00:14:11,480 --> 00:14:15,320 Speaker 2: it's the people for better or worse in democracy. The 297 00:14:15,360 --> 00:14:19,120 Speaker 2: people are behind him solidly. What can you do? Lots 298 00:14:19,160 --> 00:14:22,480 Speaker 2: of mainstream Republicans tried in twenty sixteen. You remember Mitt 299 00:14:22,560 --> 00:14:25,760 Speaker 2: Romney's speech, and other people were speaking up like, this 300 00:14:25,800 --> 00:14:28,040 Speaker 2: is not where we want the party to go. This 301 00:14:28,120 --> 00:14:30,400 Speaker 2: is where the party is. It is the Trump Party. 302 00:14:30,440 --> 00:14:33,000 Speaker 2: There isn't a Republican party. It's not the same. It's 303 00:14:33,040 --> 00:14:35,560 Speaker 2: definitely not. You know, you hear Mike Pence saying, you 304 00:14:35,600 --> 00:14:37,960 Speaker 2: gave a good, big speech in New Hampshire. I want 305 00:14:37,960 --> 00:14:40,160 Speaker 2: to go back a big speech meeting, like no one 306 00:14:40,200 --> 00:14:42,120 Speaker 2: talked about it. It happened two days ago, but it 307 00:14:42,160 --> 00:14:43,960 Speaker 2: was like supposed to be his big speech. You want 308 00:14:44,040 --> 00:14:48,280 Speaker 2: to go back to the Reagan Republicans. But those people 309 00:14:48,360 --> 00:14:51,480 Speaker 2: don't exist anymore. I don't think like there might be 310 00:14:51,760 --> 00:14:55,600 Speaker 2: it might be those, you know, the middle class suburban 311 00:14:56,120 --> 00:15:00,160 Speaker 2: voters that swing an election. Maybe that resonates with them, maybe, 312 00:15:00,280 --> 00:15:04,080 Speaker 2: but definitely not enough to like derail the Trump train 313 00:15:04,280 --> 00:15:08,240 Speaker 2: that is out of control has literally no one is 314 00:15:08,240 --> 00:15:09,720 Speaker 2: controlling again but Donald Trump. 315 00:15:09,760 --> 00:15:14,080 Speaker 4: And it's yeah, Jason, we might let you come back. Really, 316 00:15:14,360 --> 00:15:20,240 Speaker 4: I mean, I don't know, no, Okay, fine. 317 00:15:22,240 --> 00:15:26,880 Speaker 1: Bob Casey is the senior Senator from Pennsylvania. Welcome to 318 00:15:27,240 --> 00:15:29,720 Speaker 1: Fast Politics, Senator Casey Polly. 319 00:15:29,760 --> 00:15:30,920 Speaker 3: Great to be with you. Thank you. 320 00:15:31,040 --> 00:15:35,120 Speaker 1: It's such a weird political moment. I feel like I 321 00:15:35,120 --> 00:15:39,040 Speaker 1: don't even know where to begin. You're running for reelection. 322 00:15:39,600 --> 00:15:40,920 Speaker 1: Let's talk a little bit about that. 323 00:15:41,120 --> 00:15:43,560 Speaker 3: Yeah, we're in a race that we began in April, 324 00:15:43,600 --> 00:15:45,040 Speaker 3: but we're awaiting an opponent. 325 00:15:45,280 --> 00:15:49,800 Speaker 1: Your dad was governor and your mom just passed. Yeah, 326 00:15:49,880 --> 00:15:54,560 Speaker 1: you come from a family that is deep Pennsylvania. Talk 327 00:15:54,840 --> 00:15:57,160 Speaker 1: about that, and I'm sorry about your mom. 328 00:15:57,480 --> 00:16:01,160 Speaker 3: Oh thanks. No, just first and foremost parents. They had 329 00:16:01,280 --> 00:16:03,960 Speaker 3: eight children. I'm number four in that list, and we 330 00:16:03,960 --> 00:16:07,800 Speaker 3: were really blessed by their constant love and support. And 331 00:16:07,840 --> 00:16:09,520 Speaker 3: I don't know how they did it, because my father 332 00:16:09,680 --> 00:16:12,600 Speaker 3: was a public official and a politician running for office, 333 00:16:12,720 --> 00:16:16,480 Speaker 3: stay wide office numerous times over the course of the 334 00:16:16,880 --> 00:16:20,440 Speaker 3: mid sixties, really into the mid eighties and beyond, and 335 00:16:20,880 --> 00:16:24,240 Speaker 3: my mother somehow was able to hold our family together 336 00:16:24,320 --> 00:16:28,240 Speaker 3: and do all the important jobs that you hope a 337 00:16:28,320 --> 00:16:30,800 Speaker 3: parent would be able to do, to raise a family, 338 00:16:31,000 --> 00:16:34,400 Speaker 3: to participate in the work that her husband's doing. Ultimately, 339 00:16:34,400 --> 00:16:36,720 Speaker 3: she had to become more of a public face when 340 00:16:36,760 --> 00:16:39,160 Speaker 3: he was elected, but we were blessed by her love 341 00:16:39,160 --> 00:16:41,720 Speaker 3: and she died at ninety one. I hope I'm half 342 00:16:41,800 --> 00:16:44,240 Speaker 3: the parent and half the spouse that she was. 343 00:16:44,600 --> 00:16:47,480 Speaker 1: True. I'm glad I don't have to raise eight children 344 00:16:47,520 --> 00:16:51,080 Speaker 1: while my husband is a campaigning that sounds really bad. 345 00:16:51,280 --> 00:16:54,720 Speaker 1: I have to say there's too many. I mean I 346 00:16:54,800 --> 00:16:57,880 Speaker 1: say this as the mother of three. Eight is too many. 347 00:16:58,120 --> 00:17:01,680 Speaker 1: So let's talk about labor. You had to tweet the 348 00:17:01,840 --> 00:17:05,640 Speaker 1: labor fees should be deductible. Let's talk about I think, 349 00:17:05,760 --> 00:17:08,959 Speaker 1: like one of the quiet underreported stories of the Biden administration, 350 00:17:09,119 --> 00:17:13,320 Speaker 1: and this is true in Pennsylvania too, democratic politics is 351 00:17:13,600 --> 00:17:16,400 Speaker 1: trying to get unions back into a place where they 352 00:17:16,480 --> 00:17:18,760 Speaker 1: really have negotiating power. Let's talk about that. 353 00:17:19,080 --> 00:17:19,280 Speaker 2: Yeah. 354 00:17:19,280 --> 00:17:21,080 Speaker 3: First, I think if you look at where we are 355 00:17:21,280 --> 00:17:24,159 Speaker 3: today in our political culture, a good bit of the 356 00:17:24,200 --> 00:17:27,520 Speaker 3: anger and frustration that people have has its origins not 357 00:17:27,720 --> 00:17:31,080 Speaker 3: just in the political divisions generally, but we have forty 358 00:17:31,160 --> 00:17:34,240 Speaker 3: years of the tax code being rigged for big corporations 359 00:17:34,240 --> 00:17:38,240 Speaker 3: and very wealthy Americans. Plus over that same time period, 360 00:17:38,440 --> 00:17:41,359 Speaker 3: a precipitous decline in the number of Americans who are 361 00:17:41,400 --> 00:17:43,800 Speaker 3: part of the labor union, and because of that, the 362 00:17:43,880 --> 00:17:48,199 Speaker 3: economic power of workers and families has declined significantly. So 363 00:17:48,640 --> 00:17:50,199 Speaker 3: you're going to have any at the end of that 364 00:17:50,480 --> 00:17:52,960 Speaker 3: forty or so years, you go back even further, I think, 365 00:17:53,119 --> 00:17:55,800 Speaker 3: but you're going to have a lot of economic trauma 366 00:17:55,840 --> 00:17:59,080 Speaker 3: that people are experiencing, and that's created a lot of divisions. 367 00:17:59,080 --> 00:18:01,560 Speaker 3: So one of the ways not just to lift up 368 00:18:01,600 --> 00:18:03,800 Speaker 3: workers in their families, but to breach some of the 369 00:18:03,800 --> 00:18:06,720 Speaker 3: divides in society is to get more people unionized. When 370 00:18:06,720 --> 00:18:09,520 Speaker 3: you're part of a union where you can bargain collectively 371 00:18:09,600 --> 00:18:11,800 Speaker 3: for wages and benefits, you're more likely to have a 372 00:18:11,800 --> 00:18:14,960 Speaker 3: good wage, good healthcare, and a pension of some kind. 373 00:18:15,040 --> 00:18:17,360 Speaker 3: So the pro Act is kind of the I think 374 00:18:17,400 --> 00:18:19,919 Speaker 3: the test for any public official, are you in favor 375 00:18:19,960 --> 00:18:22,720 Speaker 3: of passing the Protecting the Right to Organize Act or not? 376 00:18:23,040 --> 00:18:25,879 Speaker 3: I and so many of our Democratic colleagues are been 377 00:18:25,960 --> 00:18:30,480 Speaker 3: co sponsors for years, and Republicans are unilaterally unanimously opposed 378 00:18:30,480 --> 00:18:32,400 Speaker 3: to that. One of the parts of our tax code 379 00:18:32,400 --> 00:18:34,359 Speaker 3: that a lot of people don't realize is if a 380 00:18:34,520 --> 00:18:39,119 Speaker 3: union or if a corporation spends money to bust a union, 381 00:18:39,280 --> 00:18:42,560 Speaker 3: guess what, they receive a tax benefit from that. And 382 00:18:42,600 --> 00:18:43,840 Speaker 3: so one of the things I'm trying to do with 383 00:18:44,000 --> 00:18:47,880 Speaker 3: legislation is to end that tax benefit to corporations. We'll 384 00:18:47,880 --> 00:18:50,400 Speaker 3: get a tax break for busting unions. 385 00:18:50,880 --> 00:18:56,119 Speaker 1: Right exactly, I want to talk to you about China. 386 00:18:56,200 --> 00:18:59,280 Speaker 1: I don't even know where to begin with this. Conservatives 387 00:18:59,280 --> 00:19:04,199 Speaker 1: are at you about China. They're mad at Biden about China. 388 00:19:04,440 --> 00:19:08,439 Speaker 1: They're also mad that the Biden administration is working to 389 00:19:08,480 --> 00:19:12,520 Speaker 1: build chips A semiconductor factories in the United States so 390 00:19:12,560 --> 00:19:15,199 Speaker 1: that they're not as relying on China. Can China be 391 00:19:15,240 --> 00:19:16,880 Speaker 1: the boogeyman for all things? 392 00:19:17,080 --> 00:19:19,720 Speaker 3: Look, there's no question when you look at recent history, 393 00:19:20,040 --> 00:19:24,560 Speaker 3: especially under a new leader President she for relevably new. 394 00:19:25,280 --> 00:19:28,359 Speaker 3: They've taken China's taken as a nation, taken a turn 395 00:19:28,400 --> 00:19:31,280 Speaker 3: in a different direction. He's an autocrat, and he's not 396 00:19:31,320 --> 00:19:34,040 Speaker 3: good to his own people, but he's also leading an 397 00:19:34,040 --> 00:19:37,120 Speaker 3: effort to kind of crush any kind of economic competition, 398 00:19:37,160 --> 00:19:39,840 Speaker 3: including ours. So I always say, and I think it's true. 399 00:19:39,880 --> 00:19:42,320 Speaker 3: I think the evidence is overwhelming. When China cheats on 400 00:19:42,359 --> 00:19:46,080 Speaker 3: the world stage, Pennsylvania workers lose jobs. They've been cheating 401 00:19:46,480 --> 00:19:49,199 Speaker 3: as the Communist government for years, but they also have 402 00:19:49,280 --> 00:19:53,560 Speaker 3: been stealing our technology, and often the rise of China 403 00:19:53,640 --> 00:19:57,159 Speaker 3: has been fueled by decisions and actions taken by Corporate America. 404 00:19:57,240 --> 00:20:00,520 Speaker 3: So my effort and actually work with John Corner Texas 405 00:20:00,600 --> 00:20:02,160 Speaker 3: is no, he's no liberal. 406 00:20:01,880 --> 00:20:04,000 Speaker 1: Democrat, but he's certainly not. 407 00:20:04,359 --> 00:20:06,480 Speaker 3: He gives you a sense of the scope of the 408 00:20:06,520 --> 00:20:10,439 Speaker 3: problem that when Corporate America is out making investments in China, 409 00:20:10,520 --> 00:20:15,480 Speaker 3: including investments that involve our security military technology, there's almost 410 00:20:15,480 --> 00:20:19,720 Speaker 3: no constraints on them, some limited constraints by export controls. 411 00:20:19,840 --> 00:20:23,399 Speaker 3: So we introduced a bill to have that have a 412 00:20:23,480 --> 00:20:27,240 Speaker 3: review of that outbound investment. We finally got a version 413 00:20:27,280 --> 00:20:30,640 Speaker 3: of that past this summer and it passed ninety one 414 00:20:30,680 --> 00:20:35,000 Speaker 3: to six, despite the unilateral opposition of the US Chamber 415 00:20:35,000 --> 00:20:37,800 Speaker 3: of Commerce in Corporate America. So that what we're trying 416 00:20:37,840 --> 00:20:40,080 Speaker 3: to do is to say, look, US corporation, if you're 417 00:20:40,080 --> 00:20:43,080 Speaker 3: going to send our military technology, the benefits of our 418 00:20:43,080 --> 00:20:46,879 Speaker 3: innovation to China and benefit President she and his regime. 419 00:20:47,040 --> 00:20:49,560 Speaker 3: The federal government needs to be notified about that so 420 00:20:49,600 --> 00:20:51,600 Speaker 3: we can make an assessment whether or not our national 421 00:20:51,640 --> 00:20:54,440 Speaker 3: security is underminable. That's why I got ninety one votes, 422 00:20:54,480 --> 00:20:57,320 Speaker 3: even though Corporate America held it up for more than 423 00:20:57,320 --> 00:20:57,960 Speaker 3: a year and a half. 424 00:20:58,119 --> 00:21:02,240 Speaker 1: Republicans seem like they have some real problems as a 425 00:21:02,280 --> 00:21:06,160 Speaker 1: party in their leadership right. Their leader is basically Donald Trump. 426 00:21:06,280 --> 00:21:10,600 Speaker 1: Mitch McConnell is really the brains behind the organization, though 427 00:21:10,720 --> 00:21:12,919 Speaker 1: they're furious with Mitch McConnell and he's been plagued with 428 00:21:12,960 --> 00:21:15,640 Speaker 1: health problems. Is this an opportunity for Democrats? 429 00:21:15,800 --> 00:21:16,080 Speaker 2: Certainly. 430 00:21:16,119 --> 00:21:18,480 Speaker 3: I think I'd much rather be our party in this 431 00:21:18,760 --> 00:21:21,159 Speaker 3: difficult divide we have in the country than be on 432 00:21:21,240 --> 00:21:23,320 Speaker 3: their side, because Molly, I think you hit the nail 433 00:21:23,320 --> 00:21:25,159 Speaker 3: on the head. I think it's not simply that you 434 00:21:25,240 --> 00:21:28,000 Speaker 3: have a group of extremists in the corner and the 435 00:21:28,040 --> 00:21:32,359 Speaker 3: rest of the party leadership is somehow rational and not extreme. 436 00:21:32,560 --> 00:21:35,840 Speaker 3: I think it's become at the national level, a member 437 00:21:35,880 --> 00:21:39,399 Speaker 3: of Congress level and leadership level and extreme party. I 438 00:21:39,440 --> 00:21:41,800 Speaker 3: think it was extreme even before he shut up, So 439 00:21:41,840 --> 00:21:45,960 Speaker 3: it's not just Maga Republicans, it's leaders in Congress that 440 00:21:46,359 --> 00:21:49,960 Speaker 3: accommodate that mega part of their party. So in essence, 441 00:21:50,000 --> 00:21:53,000 Speaker 3: it's as you said, it's pretty much the Trump Party, 442 00:21:53,080 --> 00:21:55,440 Speaker 3: and that makes it very difficult for them to work 443 00:21:55,480 --> 00:21:56,840 Speaker 3: with this. Now, every once in a while we can 444 00:21:56,840 --> 00:21:59,000 Speaker 3: break through that I did with John Corner and China 445 00:21:59,040 --> 00:22:02,200 Speaker 3: it passed a bill with build Cassidy on to protect 446 00:22:02,520 --> 00:22:05,760 Speaker 3: workers who are pregnant in the workforce. But it is 447 00:22:05,840 --> 00:22:09,639 Speaker 3: exceedingly difficult to get through that extremism that we're seeing 448 00:22:09,640 --> 00:22:11,880 Speaker 3: all across their party at the political level. 449 00:22:12,080 --> 00:22:15,879 Speaker 1: This Chips Act explain to us what it does to 450 00:22:16,040 --> 00:22:18,960 Speaker 1: protect workers in Pennsylvania and how that works. 451 00:22:19,240 --> 00:22:21,280 Speaker 3: In particular, what we're trying to do there is to 452 00:22:21,280 --> 00:22:24,520 Speaker 3: say if the United States has lost its edge as 453 00:22:24,560 --> 00:22:28,400 Speaker 3: it has in a very substantial way on producing semiconductors, 454 00:22:28,440 --> 00:22:33,120 Speaker 3: which everything we use, our smartphones, our refrigerators, every appliance, automobiles, 455 00:22:33,119 --> 00:22:36,000 Speaker 3: everything we use needs those chips we used to produce 456 00:22:36,000 --> 00:22:38,680 Speaker 3: in nineteen ninety. We're producing more than a third of 457 00:22:38,720 --> 00:22:41,880 Speaker 3: the semiconductors in the world today will only produced twelve 458 00:22:41,960 --> 00:22:44,760 Speaker 3: produce about twelve percent. So to regain our edge, we 459 00:22:44,840 --> 00:22:48,280 Speaker 3: have to invest in research, and that means the federal 460 00:22:48,280 --> 00:22:52,280 Speaker 3: government investing in private sector companies that can produce these chips, 461 00:22:52,359 --> 00:22:55,000 Speaker 3: and we run ahead of China or any other country 462 00:22:55,040 --> 00:22:57,720 Speaker 3: that would be competing with us. So it's a critically 463 00:22:57,720 --> 00:23:00,760 Speaker 3: important piece of legislation to reach gain our edge and 464 00:23:00,920 --> 00:23:04,119 Speaker 3: something as fundamental as a semiconductor, just like we have 465 00:23:04,160 --> 00:23:06,000 Speaker 3: to do in a whole series of other parts of 466 00:23:06,040 --> 00:23:10,239 Speaker 3: our manufacturing economy. And a lot of corporate CEOs are 467 00:23:10,280 --> 00:23:14,360 Speaker 3: finally recognizing that what President Biden did and Democrats did 468 00:23:14,640 --> 00:23:16,840 Speaker 3: on a whole host difference, not just on the Chips bill, 469 00:23:17,200 --> 00:23:20,040 Speaker 3: is leading to a manufacturing renaissance in the country. But 470 00:23:20,520 --> 00:23:23,000 Speaker 3: you even have some Republicans who have supported some of 471 00:23:23,040 --> 00:23:26,119 Speaker 3: these bills like chips starting to run away from it 472 00:23:26,160 --> 00:23:29,040 Speaker 3: because they're getting getting eat from the right. But I'm 473 00:23:29,080 --> 00:23:31,800 Speaker 3: hoping that because we have them in place right now, 474 00:23:31,840 --> 00:23:35,399 Speaker 3: whether it's chips or the Inflation Reduction Act to invest 475 00:23:35,440 --> 00:23:38,200 Speaker 3: in a clean energy economy, we're going to be able 476 00:23:38,240 --> 00:23:41,399 Speaker 3: to make the stride to give Americans more control of 477 00:23:41,560 --> 00:23:45,240 Speaker 3: our over economic future and more control over our climate 478 00:23:45,280 --> 00:23:46,240 Speaker 3: future as well. 479 00:23:46,280 --> 00:23:49,440 Speaker 1: It does seem to me that clean energy is getting 480 00:23:49,520 --> 00:23:52,879 Speaker 1: cheaper and cheaper and cheaper, and Republicans are pushing pretty 481 00:23:52,880 --> 00:23:58,399 Speaker 1: hard to try to undermine that by incentivizing drilling and coal. 482 00:23:58,960 --> 00:24:02,000 Speaker 1: You see, in state like Texas is a red state. 483 00:24:02,520 --> 00:24:06,520 Speaker 1: Their grid barely survived and it was able to survive 484 00:24:06,560 --> 00:24:10,239 Speaker 1: this summer largely by green energy. What can Democrats do 485 00:24:10,680 --> 00:24:14,399 Speaker 1: to help this green revolution? It's happening anyway, It seems 486 00:24:14,480 --> 00:24:15,359 Speaker 1: like I think. 487 00:24:15,200 --> 00:24:19,040 Speaker 3: First and foremost one of the leading priorities has to 488 00:24:19,040 --> 00:24:22,600 Speaker 3: be to protect the Inflation Reduction Act. The Republicans, as 489 00:24:22,640 --> 00:24:25,199 Speaker 3: you know, want to wipe it out completely. So they 490 00:24:25,240 --> 00:24:27,800 Speaker 3: want to wipe out all of the tax credits for 491 00:24:28,280 --> 00:24:32,440 Speaker 3: that clean energy economy helping us combat climate change, reducing 492 00:24:32,600 --> 00:24:35,959 Speaker 3: carbon emissions, you know, forty by thirty forty percent reduction 493 00:24:36,040 --> 00:24:38,560 Speaker 3: by twenty thirty. They want to wipe out by getting 494 00:24:38,640 --> 00:24:40,720 Speaker 3: rid of the Glacier Reduction Act, get rid of all 495 00:24:41,119 --> 00:24:43,600 Speaker 3: the power that was granted to medicare, to negotiate the 496 00:24:43,600 --> 00:24:46,280 Speaker 3: cost of prescription drugs, and to lower the cost of 497 00:24:46,320 --> 00:24:48,680 Speaker 3: bents on for seniors, so many other benefits from the bill. 498 00:24:48,760 --> 00:24:50,600 Speaker 3: So we have to stop them from doing that. But 499 00:24:50,680 --> 00:24:53,520 Speaker 3: I think we also have to make sure that voters 500 00:24:53,600 --> 00:24:56,000 Speaker 3: know before election day in twenty twenty four. What this 501 00:24:56,119 --> 00:24:59,680 Speaker 3: means for their communities isn't simply that we're trying to 502 00:24:59,720 --> 00:25:02,760 Speaker 3: create and it's already happening at clean energy economy, but 503 00:25:02,840 --> 00:25:05,280 Speaker 3: it's also creating lots of jobs. I mean, I can 504 00:25:05,359 --> 00:25:07,720 Speaker 3: stand up and say as a candidate for reelection that 505 00:25:08,000 --> 00:25:11,240 Speaker 3: just the Inflation Reduction Act and the Infrastructure Bill, just 506 00:25:11,359 --> 00:25:13,720 Speaker 3: those two bills alone are going to lead to the 507 00:25:13,760 --> 00:25:17,360 Speaker 3: creation of fifty thousand jobs in Pennsylvania each and every 508 00:25:17,440 --> 00:25:21,000 Speaker 3: year for the next decade. It's a job benefit, an 509 00:25:21,040 --> 00:25:25,200 Speaker 3: economic boost for communities as we're investing in clean energy 510 00:25:25,200 --> 00:25:28,480 Speaker 3: economy in the future. So I think articulating as forcefully 511 00:25:28,480 --> 00:25:31,240 Speaker 3: as we can what these benefits mean to communities, but 512 00:25:31,359 --> 00:25:35,119 Speaker 3: also making sure we're stopping the corporate extremists from wiping 513 00:25:35,160 --> 00:25:37,879 Speaker 3: out the legislation. And look, for me, it's pretty simple. 514 00:25:37,920 --> 00:25:40,639 Speaker 3: The same crowd that tried to stop my bill to 515 00:25:40,680 --> 00:25:43,520 Speaker 3: prevent our technology from going to China, the same crowd 516 00:25:43,560 --> 00:25:46,040 Speaker 3: that's opposing me in the selection, is the same corporate 517 00:25:46,040 --> 00:25:48,359 Speaker 3: crowd trying to wipe out the Inflationial Reduction Act. And 518 00:25:48,440 --> 00:25:51,440 Speaker 3: so if you want to stop them, I'd ask your 519 00:25:51,480 --> 00:25:54,680 Speaker 3: listeners to go to Bobcasey dot com and help us. 520 00:25:55,000 --> 00:25:59,840 Speaker 1: Can you talk to me about this Special Committee on Age. 521 00:26:00,400 --> 00:26:03,080 Speaker 3: Yes, it's been a committee that's been around for decades, 522 00:26:03,200 --> 00:26:06,040 Speaker 3: but because it's not an authorizing committee, doesn't often get 523 00:26:06,080 --> 00:26:08,240 Speaker 3: a lot of attention. But it gives us a chance, 524 00:26:08,440 --> 00:26:10,280 Speaker 3: and I'm been the chair and then before that, the 525 00:26:10,320 --> 00:26:13,680 Speaker 3: leading Democrat for years to put a spotlight on big 526 00:26:13,720 --> 00:26:17,520 Speaker 3: issues that relate to seniors. And I've also used it 527 00:26:17,520 --> 00:26:20,480 Speaker 3: as a platform to focus on Americans who have a 528 00:26:20,520 --> 00:26:24,280 Speaker 3: disability as well. Because those Americans, sixty one million of them, 529 00:26:24,320 --> 00:26:26,639 Speaker 3: don't get a lot of attention. It's allowed us to 530 00:26:26,720 --> 00:26:30,200 Speaker 3: put a spotlight on issues that affect seniors and their families. 531 00:26:30,359 --> 00:26:33,440 Speaker 3: For example, in the grip of the opioid and substance 532 00:26:33,520 --> 00:26:36,280 Speaker 3: use disorder crisis, which is still with us obviously, but 533 00:26:36,480 --> 00:26:38,919 Speaker 3: was most prominent in the news just a couple of 534 00:26:38,960 --> 00:26:41,560 Speaker 3: years ago, we were able to focus on grand families. 535 00:26:41,600 --> 00:26:45,200 Speaker 3: These heroic grandparents are raising grandchildren. In fact, I even 536 00:26:45,240 --> 00:26:47,840 Speaker 3: met a woman from my faith Lewis her name was 537 00:26:47,880 --> 00:26:50,600 Speaker 3: it from my home county, who was a great grandmother 538 00:26:50,720 --> 00:26:53,600 Speaker 3: raising a young child. So it's a committee that allows 539 00:26:53,640 --> 00:26:56,520 Speaker 3: us to put a spotlight on those issues on arsenal issues, 540 00:26:56,600 --> 00:26:59,440 Speaker 3: on issues that relate to how seniors get to become 541 00:26:59,480 --> 00:27:02,680 Speaker 3: the targets for scam artists and purveyors or fraud to 542 00:27:02,720 --> 00:27:05,040 Speaker 3: rip them west. So it's a great committee and we're 543 00:27:05,200 --> 00:27:06,960 Speaker 3: lucky to have the chance to be able to put 544 00:27:07,040 --> 00:27:09,080 Speaker 3: us potlight on those issues relate to seniors. 545 00:27:09,440 --> 00:27:14,920 Speaker 1: Senator Tuberville has held up all of these appointments in 546 00:27:15,040 --> 00:27:18,119 Speaker 1: the military and made it so that there are now 547 00:27:18,800 --> 00:27:24,639 Speaker 1: various members of military leadership missing. Tell me what you think, Well. 548 00:27:24,720 --> 00:27:26,639 Speaker 3: It's at outrage. You don't have to be a military 549 00:27:26,720 --> 00:27:29,000 Speaker 3: leader of the Marine Corps, of the Army or any 550 00:27:29,040 --> 00:27:31,719 Speaker 3: other branch of our military to know that it is 551 00:27:32,320 --> 00:27:34,800 Speaker 3: not only an outrage, but it's an abuse of a 552 00:27:34,960 --> 00:27:38,919 Speaker 3: Senate rule or tradition. And I think it focuses our 553 00:27:38,960 --> 00:27:42,320 Speaker 3: attention again on the need for reform in the Senate, 554 00:27:42,359 --> 00:27:44,080 Speaker 3: not only that we need to get rid of the 555 00:27:44,200 --> 00:27:46,560 Speaker 3: so called filibuster role, but I call it the sixty 556 00:27:46,640 --> 00:27:49,040 Speaker 3: vote rule because that's the effectively you need sixty votes 557 00:27:49,480 --> 00:27:52,600 Speaker 3: to pass virtually anything, and that rule has been abused 558 00:27:52,640 --> 00:27:57,040 Speaker 3: by Republicans for years, stopping us from passing voting rights 559 00:27:57,119 --> 00:28:00,879 Speaker 3: legislation or legislation reduced gun violence. So I think we 560 00:28:00,880 --> 00:28:04,120 Speaker 3: should also reform the rule about holds that one senator 561 00:28:04,200 --> 00:28:07,040 Speaker 3: can put a hold on one nomination or, in the 562 00:28:07,040 --> 00:28:11,159 Speaker 3: case of Senator Tuberville, hundreds and hundreds of nominations and 563 00:28:11,280 --> 00:28:13,840 Speaker 3: promotions and actions that we could take to lift up 564 00:28:13,840 --> 00:28:16,040 Speaker 3: our men and women who serve in the military. So 565 00:28:16,160 --> 00:28:18,560 Speaker 3: it should be a clarion call. Not just to force 566 00:28:18,600 --> 00:28:22,760 Speaker 3: Senator Tourville to cancel a hold into stuff is extreme 567 00:28:22,800 --> 00:28:25,840 Speaker 3: behavior in the Senate, but to reform these damn rules 568 00:28:26,040 --> 00:28:28,240 Speaker 3: that are getting in the way of progress and preventing 569 00:28:28,320 --> 00:28:30,560 Speaker 3: us from making progress to the American people. 570 00:28:30,720 --> 00:28:33,280 Speaker 1: Thank you so much, Senator. I hope you'll come back. 571 00:28:33,560 --> 00:28:35,560 Speaker 3: Molly, thank you. I honored to be on with you today. 572 00:28:37,400 --> 00:28:41,120 Speaker 1: Lydia Poegreen is a New York Times columnist and host 573 00:28:41,280 --> 00:28:46,600 Speaker 1: of the podcast Matter of Opinion. Welcome to Fast Politics, 574 00:28:46,760 --> 00:28:48,040 Speaker 1: Lydia Poegreen. 575 00:28:47,960 --> 00:28:49,320 Speaker 2: Oh, it's so great to be back. 576 00:28:49,400 --> 00:28:53,000 Speaker 1: Mollie. Well, it's great to have you. I'm so excited. 577 00:28:53,240 --> 00:28:55,440 Speaker 1: You are an opinion columnist at the New York Times. 578 00:28:55,480 --> 00:28:59,840 Speaker 1: You have written a lot of really gut wrenching reporting 579 00:29:00,640 --> 00:29:05,840 Speaker 1: from places around the world that need to be seen. 580 00:29:06,680 --> 00:29:09,360 Speaker 1: Talk to me about how you've decided to go to 581 00:29:09,400 --> 00:29:12,600 Speaker 1: these places and what the experience has been like and 582 00:29:13,320 --> 00:29:16,239 Speaker 1: where has affected you the most. This is not so 583 00:29:16,560 --> 00:29:20,040 Speaker 1: usual for an opinion columnist to use this platform in 584 00:29:20,120 --> 00:29:20,560 Speaker 1: this way. 585 00:29:20,800 --> 00:29:23,479 Speaker 5: Yeah, I mean, thank you Mollie for being such an 586 00:29:23,560 --> 00:29:25,720 Speaker 5: enthusiastic reader of my work. I know a lot of 587 00:29:25,760 --> 00:29:28,440 Speaker 5: people would rather not think about some of the terrible 588 00:29:28,440 --> 00:29:29,960 Speaker 5: things that are happening in the world. 589 00:29:30,040 --> 00:29:30,280 Speaker 3: I mean. 590 00:29:30,320 --> 00:29:32,280 Speaker 5: One of the wonderful things about opinion columnists at the 591 00:29:32,280 --> 00:29:35,000 Speaker 5: New York Times, and it's really truly like the greatest 592 00:29:35,040 --> 00:29:38,640 Speaker 5: job in all of journalism, I think selfishly, is that, 593 00:29:38,760 --> 00:29:40,720 Speaker 5: you know, there's just a ton of support for kind 594 00:29:40,720 --> 00:29:43,040 Speaker 5: of going out into the world and figuring out what's happening. 595 00:29:43,160 --> 00:29:44,960 Speaker 5: Of course, there are a lot of great columnists who 596 00:29:45,080 --> 00:29:47,760 Speaker 5: write sort of based on their interests and their you know, 597 00:29:47,880 --> 00:29:49,560 Speaker 5: kind of the ideas that they have in their heads. 598 00:29:49,640 --> 00:29:51,920 Speaker 5: What I find is like I have to sort of 599 00:29:52,080 --> 00:29:54,880 Speaker 5: go out into the world pretty frequently in order to 600 00:29:54,880 --> 00:29:57,360 Speaker 5: figure out what I think about things. It's very hard 601 00:29:57,360 --> 00:29:59,440 Speaker 5: for me, maybe because I'm I mean, look, I'm opinionated 602 00:29:59,440 --> 00:30:02,040 Speaker 5: about a lot of things like diet coke versus PEPSI 603 00:30:02,280 --> 00:30:04,400 Speaker 5: you know what's the best Indigo Girls song? Like, I 604 00:30:04,400 --> 00:30:06,040 Speaker 5: have very strong opinions about these matters. 605 00:30:06,520 --> 00:30:09,680 Speaker 1: Diet coke and also Galileo. 606 00:30:10,160 --> 00:30:15,600 Speaker 5: Yeah right, going, wow, Okay, that's for separate podcast. We'll 607 00:30:15,600 --> 00:30:17,840 Speaker 5: be talking about your Indigo Girls choice. I mean truly 608 00:30:17,840 --> 00:30:20,160 Speaker 5: that there's no wrong answers because they're the best. Okay, good, 609 00:30:20,280 --> 00:30:23,040 Speaker 5: but yes, you're correct on dietzodas diet coke is really 610 00:30:23,040 --> 00:30:25,200 Speaker 5: the only one word I prefer. The tiny can. I 611 00:30:25,200 --> 00:30:27,360 Speaker 5: don't know about you, but I just love those little 612 00:30:27,360 --> 00:30:30,040 Speaker 5: eaty bitty cans that they have now as you drink one, 613 00:30:30,080 --> 00:30:32,440 Speaker 5: and it's small enough that it never gets warm or 614 00:30:32,480 --> 00:30:33,080 Speaker 5: ghost flat. 615 00:30:33,320 --> 00:30:35,520 Speaker 1: Right, The tiny cans are very fancy. 616 00:30:35,600 --> 00:30:36,520 Speaker 2: Yeah, they're very fancy. 617 00:30:36,640 --> 00:30:39,640 Speaker 5: So I think, like, because I'm a person who doesn't 618 00:30:39,680 --> 00:30:43,840 Speaker 5: necessarily have a lot of fixed opinions about things, it's 619 00:30:43,880 --> 00:30:45,320 Speaker 5: just really important for me to kind of go out 620 00:30:45,360 --> 00:30:47,440 Speaker 5: into the world and see what's happening. And I particularly 621 00:30:47,480 --> 00:30:50,440 Speaker 5: like to go to places that are that are difficult, 622 00:30:50,640 --> 00:30:53,200 Speaker 5: you know, and that that maybe don't get visited quite 623 00:30:53,240 --> 00:30:56,400 Speaker 5: as often, you know. So to my last big reporting trip, 624 00:30:56,520 --> 00:30:59,959 Speaker 5: I went to Eastern Chad. Chad is a big country 625 00:31:00,120 --> 00:31:03,360 Speaker 5: in central Africa and it borders Sudan. In particular, it 626 00:31:03,400 --> 00:31:06,760 Speaker 5: borders the Darfur region of Sudan. And as your listeners, 627 00:31:06,800 --> 00:31:09,560 Speaker 5: I'm sure know, there's been a huge conflict that's been 628 00:31:09,560 --> 00:31:11,520 Speaker 5: going on in Sudan for months now. 629 00:31:12,040 --> 00:31:12,840 Speaker 2: There was a coup. 630 00:31:13,200 --> 00:31:15,760 Speaker 5: There are two military leaders who are kind of battling 631 00:31:15,800 --> 00:31:18,920 Speaker 5: it out. It's been very hard to report from within Sudan. 632 00:31:19,240 --> 00:31:20,880 Speaker 5: But what we were seeing was that there were a 633 00:31:20,880 --> 00:31:23,160 Speaker 5: lot of people who were fleeing over the border from 634 00:31:23,200 --> 00:31:25,960 Speaker 5: the Darfur region of Sudan to eastern Chad. And so 635 00:31:26,200 --> 00:31:28,120 Speaker 5: I thought, I really need to go and see for 636 00:31:28,200 --> 00:31:30,480 Speaker 5: myself what's happening there. And this is like a really 637 00:31:30,520 --> 00:31:32,520 Speaker 5: remote and difficult place to reach. 638 00:31:32,920 --> 00:31:34,560 Speaker 1: Yeah, how did you get there? 639 00:31:34,840 --> 00:31:36,080 Speaker 2: Yeah, I was just going to say it. 640 00:31:36,360 --> 00:31:39,400 Speaker 1: Just always fascinated with how people got there. 641 00:31:39,560 --> 00:31:40,560 Speaker 2: I love rude talk. 642 00:31:40,680 --> 00:31:40,920 Speaker 1: Yeah. 643 00:31:41,040 --> 00:31:43,240 Speaker 5: The fastest way to get to Chad, it turns out, 644 00:31:43,320 --> 00:31:45,440 Speaker 5: from New York City is actually to fly to Paris, 645 00:31:45,520 --> 00:31:48,480 Speaker 5: and then from Paris to Enjemino, which is the capital 646 00:31:48,600 --> 00:31:50,920 Speaker 5: of Chad, and then from there you have to try 647 00:31:50,920 --> 00:31:53,280 Speaker 5: and figure out how to get on one of these 648 00:31:53,560 --> 00:31:56,760 Speaker 5: kind of un charter flights that take aid workers out 649 00:31:56,840 --> 00:31:59,160 Speaker 5: to the border, which is a very kind of remote 650 00:31:59,240 --> 00:32:01,960 Speaker 5: region of Chad. And you know, this is a sort 651 00:32:02,000 --> 00:32:04,320 Speaker 5: of dry, dusty part of the world called the Sahel. 652 00:32:04,560 --> 00:32:06,200 Speaker 5: That was the beginning of the rainy season when I 653 00:32:06,240 --> 00:32:09,440 Speaker 5: was going. And when those rains come in, it's you know, 654 00:32:09,480 --> 00:32:11,040 Speaker 5: I mean, obviously we've been dealing with our. 655 00:32:10,960 --> 00:32:13,920 Speaker 2: Own issues with rain in the United States. 656 00:32:13,560 --> 00:32:15,440 Speaker 5: And flooding and things like that, but it is an 657 00:32:15,520 --> 00:32:18,719 Speaker 5: incredibly difficult journey to sort of move things around in 658 00:32:18,760 --> 00:32:20,800 Speaker 5: that part of the world. And so you have hundreds 659 00:32:20,800 --> 00:32:22,920 Speaker 5: of thousands of people who are crossing the border of 660 00:32:22,920 --> 00:32:26,120 Speaker 5: Trum Sudan with literally the clothes on their back, and 661 00:32:26,200 --> 00:32:28,520 Speaker 5: they're going to settle and set up kind of like 662 00:32:28,600 --> 00:32:32,880 Speaker 5: makeshift shelters for themselves, fleeing horrific violence, you know, rape 663 00:32:33,000 --> 00:32:35,360 Speaker 5: and want and killing and burning down houses and things 664 00:32:35,360 --> 00:32:37,880 Speaker 5: like that. And they're coming with almost nothing, and they're 665 00:32:37,920 --> 00:32:41,720 Speaker 5: setting up these tents made out of sticks and leaves 666 00:32:41,800 --> 00:32:44,719 Speaker 5: and whatever bits of plastic that they can find, and 667 00:32:45,040 --> 00:32:47,760 Speaker 5: there is a desperate race on to try and get 668 00:32:47,920 --> 00:32:52,120 Speaker 5: humanitarian supplies to these people and getting to eastern Chad. 669 00:32:52,360 --> 00:32:54,960 Speaker 5: Even if you have access to an airplane, that's fine, 670 00:32:55,080 --> 00:32:58,640 Speaker 5: But when you talk about bringing huge amounts of food, 671 00:32:59,040 --> 00:33:02,560 Speaker 5: of tents of cooking materials and things like that. You 672 00:33:02,640 --> 00:33:05,000 Speaker 5: have to take these these roads that are really just 673 00:33:05,080 --> 00:33:08,400 Speaker 5: kind of dusty tracks through dry scrub, and then the 674 00:33:08,520 --> 00:33:12,600 Speaker 5: rains come and these huge, huge, huge rivers form that 675 00:33:12,640 --> 00:33:15,280 Speaker 5: are usually dry riverbeds, and so I'd hired a kind 676 00:33:15,280 --> 00:33:17,160 Speaker 5: of a four wheel drive jep type of thing, and 677 00:33:17,200 --> 00:33:19,480 Speaker 5: then there was a security car that was following me, 678 00:33:19,520 --> 00:33:21,680 Speaker 5: which was also a pickup truck, and you know, we 679 00:33:21,680 --> 00:33:24,120 Speaker 5: were able to get through these flooded riverbeds, but you 680 00:33:24,160 --> 00:33:26,880 Speaker 5: would see these trucks that were laden with stuff that 681 00:33:27,000 --> 00:33:30,400 Speaker 5: was like literally to help people survive and not starve 682 00:33:30,440 --> 00:33:33,400 Speaker 5: to death that would just get bogged down in these 683 00:33:33,480 --> 00:33:36,440 Speaker 5: river beds. And I just thought, my god, these poor people, 684 00:33:36,560 --> 00:33:38,800 Speaker 5: like how are they going to survive this rainy season. 685 00:33:38,880 --> 00:33:42,080 Speaker 5: They've left their crops behind, they've left their lives behind, 686 00:33:42,080 --> 00:33:45,560 Speaker 5: They're traumatized, and so yeah, I mean, of course, I'm 687 00:33:45,600 --> 00:33:47,480 Speaker 5: going I'm going to go to these places. I'm going 688 00:33:47,560 --> 00:33:48,920 Speaker 5: to talk to these people, and I'm going to try 689 00:33:48,920 --> 00:33:49,840 Speaker 5: and tell their stories. 690 00:33:50,000 --> 00:33:53,600 Speaker 1: You highlight these people and their harold. What can we 691 00:33:53,640 --> 00:33:54,400 Speaker 1: do to help them? 692 00:33:54,800 --> 00:33:56,960 Speaker 2: That's a very big question. I think a very good one. 693 00:33:57,040 --> 00:33:59,000 Speaker 5: I mean, I think the first thing that these people 694 00:33:59,080 --> 00:34:02,040 Speaker 5: need is act us to just the basic materials to 695 00:34:02,080 --> 00:34:06,760 Speaker 5: help them survive, and the humanitarian appeals to provide the 696 00:34:06,760 --> 00:34:09,960 Speaker 5: basics of survival to these folks are like woefully and underfunded, 697 00:34:10,160 --> 00:34:12,520 Speaker 5: and people there's a lot of fatigue, right, people are like, oh, 698 00:34:12,600 --> 00:34:14,960 Speaker 5: you know, we're supporting people in Ukraine, or you know, 699 00:34:15,000 --> 00:34:17,440 Speaker 5: we're worried about the folks in Maui who've been burnt 700 00:34:17,480 --> 00:34:20,040 Speaker 5: out of their homes, and so there's so much terrible 701 00:34:20,040 --> 00:34:23,080 Speaker 5: stuff going on in the world, but those humanitarian. 702 00:34:22,440 --> 00:34:25,279 Speaker 2: Appeals are you know, woefully, woefully underfunded. 703 00:34:25,360 --> 00:34:28,799 Speaker 5: The big thing that the people of Sudan need is peace, right, 704 00:34:28,840 --> 00:34:31,240 Speaker 5: I mean, they need an end to this terrible conflict. 705 00:34:31,320 --> 00:34:34,879 Speaker 5: So I think putting pressure on the combatants to lace 706 00:34:35,040 --> 00:34:35,800 Speaker 5: on their arms. 707 00:34:35,960 --> 00:34:38,600 Speaker 1: So who are the combatants? Just I think, I know, 708 00:34:39,160 --> 00:34:42,319 Speaker 1: but again, it would be really helpful for the people 709 00:34:42,360 --> 00:34:44,759 Speaker 1: who are listening here just to hear like who are 710 00:34:44,800 --> 00:34:47,279 Speaker 1: the combatants and why is this war going on? 711 00:34:47,719 --> 00:34:50,359 Speaker 5: Yeah, it's a fascinating story, and you know, Sudan has 712 00:34:50,400 --> 00:34:53,440 Speaker 5: been in some turmoil for some time. Basically, you have 713 00:34:53,680 --> 00:34:56,960 Speaker 5: the head of the official army, the Sudanese armed forces 714 00:34:57,120 --> 00:35:00,040 Speaker 5: and a General Borhan who's in charge of that. And 715 00:35:00,160 --> 00:35:03,560 Speaker 5: there was another armed group that was at the center 716 00:35:03,680 --> 00:35:05,719 Speaker 5: of the big genocide that had happened in Dark four 717 00:35:06,480 --> 00:35:08,800 Speaker 5: and had been happening for about twenty years that was 718 00:35:08,840 --> 00:35:11,480 Speaker 5: then absorbed into the military, and that was sort of 719 00:35:11,480 --> 00:35:16,160 Speaker 5: a rival paramilitary group that is led by a general 720 00:35:16,239 --> 00:35:19,120 Speaker 5: who goes by the nom de guerre Hemiti, and the 721 00:35:19,160 --> 00:35:23,279 Speaker 5: two of them were essentially, you know, kind of uneasy rivals, 722 00:35:23,560 --> 00:35:27,360 Speaker 5: and they together decided that they were going to topple 723 00:35:27,400 --> 00:35:30,200 Speaker 5: the civilian government and then a fight broke out between 724 00:35:30,239 --> 00:35:33,280 Speaker 5: the two of them. So you have these like armed 725 00:35:33,320 --> 00:35:37,880 Speaker 5: guys who are essentially like engaging in urban warfare in 726 00:35:37,920 --> 00:35:40,880 Speaker 5: the streets of Khartum, the capital of Sudan. Huge amounts 727 00:35:40,880 --> 00:35:43,960 Speaker 5: of people have been killed, people are desperate. 728 00:35:43,600 --> 00:35:44,160 Speaker 2: To get out. 729 00:35:44,320 --> 00:35:47,200 Speaker 5: At the same time, this is an incredibly complicated global 730 00:35:47,239 --> 00:35:51,440 Speaker 5: conflict because you have Saudi Arabia, the United Arab Emirates, 731 00:35:51,520 --> 00:35:54,200 Speaker 5: the Russians, the Chinese you know there, and then of 732 00:35:54,200 --> 00:35:56,319 Speaker 5: course the United States and others, and you know, they're 733 00:35:56,360 --> 00:35:59,200 Speaker 5: all these different players that are trying to kind of 734 00:35:59,239 --> 00:36:01,400 Speaker 5: influence it. So it is i think one of the 735 00:36:01,400 --> 00:36:04,960 Speaker 5: messiest and most complicated situations on a very messy and 736 00:36:05,000 --> 00:36:08,920 Speaker 5: complicated global chessboard right now, and for ordinary people, the 737 00:36:08,960 --> 00:36:12,040 Speaker 5: best thing you can do is to support the humanitarian effort, 738 00:36:12,080 --> 00:36:15,080 Speaker 5: because obviously helping the people who are struggling through this 739 00:36:15,440 --> 00:36:18,000 Speaker 5: is the you know, sort of most immediate need. But gosh, 740 00:36:18,120 --> 00:36:20,040 Speaker 5: you know, I would love to see the United States 741 00:36:20,040 --> 00:36:23,680 Speaker 5: step up and take a more muscular role in trying 742 00:36:23,719 --> 00:36:26,480 Speaker 5: to find a diplomatic settlement to this conflict. I think 743 00:36:26,520 --> 00:36:28,719 Speaker 5: a lot of people just look at the difficulties of 744 00:36:28,719 --> 00:36:30,120 Speaker 5: the world and just sort of throw up their hands 745 00:36:30,120 --> 00:36:31,680 Speaker 5: and say, there's nothing we can do about it. But 746 00:36:31,920 --> 00:36:34,640 Speaker 5: you know, my work is really driven by a strong 747 00:36:34,719 --> 00:36:36,880 Speaker 5: sense that, you know, we're we're all in this together, 748 00:36:36,960 --> 00:36:38,480 Speaker 5: and that we have to take care of one another. 749 00:36:38,680 --> 00:36:40,720 Speaker 5: And you know, we have we have all these conversations 750 00:36:40,760 --> 00:36:43,560 Speaker 5: about the quote unquote migrant crisis, why are there so 751 00:36:43,600 --> 00:36:45,520 Speaker 5: many people trying to get to Europe or trying to 752 00:36:45,520 --> 00:36:47,720 Speaker 5: get to the United States, And you know, look around 753 00:36:47,760 --> 00:36:51,239 Speaker 5: the world and see what's happening and having some sort 754 00:36:51,239 --> 00:36:54,360 Speaker 5: of kind of humanitarian commitment I think is absolutely essential 755 00:36:54,680 --> 00:36:57,239 Speaker 5: to creating a world in which people can live in 756 00:36:57,280 --> 00:36:58,759 Speaker 5: the places that they want to be. 757 00:36:59,239 --> 00:37:02,640 Speaker 1: And I mean, I also think with the crisis again, 758 00:37:02,800 --> 00:37:04,680 Speaker 1: I don't even want to call it a crisis, because 759 00:37:04,680 --> 00:37:07,600 Speaker 1: it's not a crisis. These are people who are suffering, 760 00:37:07,880 --> 00:37:12,239 Speaker 1: whose countries have been made uninhabitable by the oil and 761 00:37:12,280 --> 00:37:16,000 Speaker 1: gas we in America have used, and are now scrambling 762 00:37:16,040 --> 00:37:18,520 Speaker 1: to find a place they can grow their crops. People 763 00:37:18,560 --> 00:37:21,279 Speaker 1: that we need for our economy. I mean, this is 764 00:37:21,400 --> 00:37:24,680 Speaker 1: like one of these situations where like, we desperately need 765 00:37:24,719 --> 00:37:28,040 Speaker 1: people for our economy, they desperately want to come here, 766 00:37:28,120 --> 00:37:30,960 Speaker 1: and yet Republicans ideologically don't like them. 767 00:37:31,040 --> 00:37:34,600 Speaker 5: So yeah, to me, this is one of the defining 768 00:37:35,320 --> 00:37:37,359 Speaker 5: moral issues of our time. I mean, I think you're 769 00:37:37,520 --> 00:37:41,439 Speaker 5: very right to point to the environmental degradation that rich 770 00:37:41,480 --> 00:37:44,000 Speaker 5: countries have kind of rieked on the rest of the world. 771 00:37:44,080 --> 00:37:47,280 Speaker 5: But I think there's even another thing that never really 772 00:37:47,320 --> 00:37:50,319 Speaker 5: gets talked about, which is we talk about migrants as 773 00:37:50,360 --> 00:37:53,440 Speaker 5: being sort of you know, we I mean, I certainly don't, 774 00:37:53,440 --> 00:37:56,520 Speaker 5: but there's this language about, you know, we're being invaded 775 00:37:56,640 --> 00:37:59,480 Speaker 5: and these people are are coming to like take over 776 00:37:59,520 --> 00:38:02,160 Speaker 5: our territory, you know. But like, let's back up and 777 00:38:02,239 --> 00:38:05,400 Speaker 5: think about you know what the history of the world is, 778 00:38:05,560 --> 00:38:08,960 Speaker 5: and the history of the world is one of Europeans 779 00:38:09,520 --> 00:38:14,480 Speaker 5: invading the world and settling the territory and exterminating the 780 00:38:14,480 --> 00:38:18,200 Speaker 5: indigenous people who lived there. And so you know, if 781 00:38:18,239 --> 00:38:21,760 Speaker 5: you are an Indian person who goes to the United Kingdom, 782 00:38:21,960 --> 00:38:24,920 Speaker 5: you're doing a version of what the kind of second 783 00:38:25,000 --> 00:38:28,120 Speaker 5: born sons of English nobles who weren't going to inherit 784 00:38:28,160 --> 00:38:31,920 Speaker 5: any property did in the eighteenth and nineteenth century. You know, 785 00:38:31,960 --> 00:38:34,239 Speaker 5: you're going to find your fortune at the place where 786 00:38:34,239 --> 00:38:36,560 Speaker 5: there's a fortune to be made. And so I think 787 00:38:36,560 --> 00:38:40,200 Speaker 5: there is this kind of global reparations thing that needs 788 00:38:40,239 --> 00:38:42,719 Speaker 5: to happen with thinking about people moving around the world, 789 00:38:42,760 --> 00:38:44,799 Speaker 5: because people have always moved around the world. This is 790 00:38:44,840 --> 00:38:47,200 Speaker 5: not a new phenomenon. And it used to be that, 791 00:38:47,440 --> 00:38:50,080 Speaker 5: you know, it was white Europeans who moved around the 792 00:38:50,080 --> 00:38:52,400 Speaker 5: world in order to find a place to make a 793 00:38:52,400 --> 00:38:54,440 Speaker 5: better life for themselves. And now that the shoes on 794 00:38:54,480 --> 00:38:56,440 Speaker 5: the other foot were like whoa, WHOA hold up a minute, 795 00:38:56,520 --> 00:38:58,040 Speaker 5: you know, can't have that well. 796 00:38:58,040 --> 00:39:00,560 Speaker 1: And I also think, I mean it is this, you know, 797 00:39:00,920 --> 00:39:04,360 Speaker 1: if we're going to talk about moral imperative here, we 798 00:39:04,520 --> 00:39:07,680 Speaker 1: have people coming in this country who you know, are 799 00:39:07,680 --> 00:39:11,320 Speaker 1: trying to escape climate change that we cost and also 800 00:39:12,120 --> 00:39:16,560 Speaker 1: violence and drug trade, drugs that we buy in our country, 801 00:39:16,719 --> 00:39:19,680 Speaker 1: all made possible, right, they are trying to flee the 802 00:39:19,680 --> 00:39:23,120 Speaker 1: effects of living so close to America basically, I mean, 803 00:39:23,160 --> 00:39:25,759 Speaker 1: there are other issues a place, for sure, but it 804 00:39:25,920 --> 00:39:28,719 Speaker 1: is pretty interesting that this is where we are. And 805 00:39:28,760 --> 00:39:31,759 Speaker 1: so what's happening right now is that we have this 806 00:39:32,080 --> 00:39:35,600 Speaker 1: very tight labor market. So we're seeing Republican governors in 807 00:39:35,680 --> 00:39:39,239 Speaker 1: Red states past legislation making it easier for them to 808 00:39:39,320 --> 00:39:44,800 Speaker 1: employ children children. We con they will let these children 809 00:39:44,840 --> 00:39:48,120 Speaker 1: who cross the border by themselves work in the factory 810 00:39:48,239 --> 00:39:50,879 Speaker 1: is because they don't have to pay them as much. 811 00:39:50,960 --> 00:39:53,399 Speaker 1: I mean, talk about moral crisis. 812 00:39:53,760 --> 00:39:55,400 Speaker 5: Yeah, and I know, I know you've had my colleague 813 00:39:55,400 --> 00:39:57,839 Speaker 5: on the newsroom side, Hannah Dryer on and she's done 814 00:39:57,880 --> 00:40:02,160 Speaker 5: just some incredible reporting. And you know, the idea of children, 815 00:40:02,560 --> 00:40:08,040 Speaker 5: regardless of their citizenship's testus, doing dangerous work in slaughter 816 00:40:08,120 --> 00:40:10,840 Speaker 5: houses in factory I mean, this is like stuff from 817 00:40:11,200 --> 00:40:14,200 Speaker 5: Upton Sinclair, you know, like this is it's yeah, I 818 00:40:14,200 --> 00:40:17,040 Speaker 5: mean these are Dickenzie and exactly, I think that there 819 00:40:17,160 --> 00:40:20,359 Speaker 5: is this kind of bizarre kind of hypocritical. We must 820 00:40:20,360 --> 00:40:23,560 Speaker 5: protect children vibe going on in quote unquote red states what, 821 00:40:23,719 --> 00:40:25,960 Speaker 5: in fact, what people really want is just to treat 822 00:40:26,000 --> 00:40:29,279 Speaker 5: children like property and exploit them for their own ends 823 00:40:29,280 --> 00:40:31,920 Speaker 5: and their own uses, and that is incredibly tragic. 824 00:40:32,239 --> 00:40:36,719 Speaker 1: Oh yeah, let's talk about your podcast and what it 825 00:40:36,760 --> 00:40:39,320 Speaker 1: looks like and what it is and what you're doing 826 00:40:39,360 --> 00:40:39,640 Speaker 1: with it. 827 00:40:39,760 --> 00:40:43,880 Speaker 5: Oh yeah, thanks, thanks for asking, Mollie. Now, I also 828 00:40:44,000 --> 00:40:46,440 Speaker 5: am a podcaster like you. I mean, I have a 829 00:40:46,440 --> 00:40:49,040 Speaker 5: little bit less experience, but you know, but you. 830 00:40:49,040 --> 00:40:52,000 Speaker 1: Also ran I think an important data point here is 831 00:40:52,000 --> 00:40:54,920 Speaker 1: that you also ran a podcasting companies. You have experienced 832 00:40:54,920 --> 00:40:57,439 Speaker 1: from a lot of different angles a podcast I do. 833 00:40:57,520 --> 00:40:59,839 Speaker 5: It's true, and I really enjoyed that experience. 834 00:41:00,080 --> 00:41:02,200 Speaker 1: Besides, after you were the editor in chief of the 835 00:41:02,239 --> 00:41:04,919 Speaker 1: Huffna Post, you have not just been hanging out. 836 00:41:05,680 --> 00:41:08,920 Speaker 5: I have sort of a strange and variegated resume. I've 837 00:41:08,920 --> 00:41:10,759 Speaker 5: done a lot of different things. It turns out my 838 00:41:10,760 --> 00:41:12,799 Speaker 5: first love has always been reporting and writing, so it's 839 00:41:12,800 --> 00:41:14,960 Speaker 5: great to be back doing it. So I have a podcast. 840 00:41:15,000 --> 00:41:18,040 Speaker 5: It's called a Matter of Opinion. We refer to it 841 00:41:18,080 --> 00:41:21,120 Speaker 5: as MOO for short. I'm hoping that'll catch on and 842 00:41:21,480 --> 00:41:25,400 Speaker 5: it's a conversational podcast that I do with my colleagues, 843 00:41:25,600 --> 00:41:28,440 Speaker 5: Michelle Coddle, who's a brilliant and member of the editorial 844 00:41:28,440 --> 00:41:31,480 Speaker 5: board at the New York Times. My fellow columnist Ross Douthitt, 845 00:41:31,480 --> 00:41:33,239 Speaker 5: who I think is one of the smartest and most 846 00:41:33,280 --> 00:41:36,279 Speaker 5: engaging voices on the right. I often don't agree with him, 847 00:41:36,280 --> 00:41:40,319 Speaker 5: but I always appreciate his intelligence and thoughtfulness and care. 848 00:41:40,719 --> 00:41:43,880 Speaker 1: Husband Matt Greenfield, is not a fan, but we appreciate 849 00:41:43,960 --> 00:41:47,680 Speaker 1: it hearing many different, many different perspectives. Yes. 850 00:41:47,920 --> 00:41:51,200 Speaker 5: And then rounding out the quartet is Carlos Lozada, who 851 00:41:51,480 --> 00:41:53,760 Speaker 5: is a pretty new addition to The New York Times. 852 00:41:53,880 --> 00:41:56,600 Speaker 5: He joined about a year ago. He was a long 853 00:41:56,680 --> 00:41:59,640 Speaker 5: time book critic at The Washington Post and also wrote 854 00:41:59,640 --> 00:42:01,800 Speaker 5: long en you know, writes long essays about books. 855 00:42:01,880 --> 00:42:03,760 Speaker 1: Yes, really, he's. 856 00:42:03,320 --> 00:42:06,280 Speaker 5: Truly a genius, really smart, reads and reads and reads 857 00:42:06,280 --> 00:42:09,280 Speaker 5: and writes these like, you know, fascinating and brilliant essays 858 00:42:09,400 --> 00:42:12,280 Speaker 5: about big ideas and topics that are sort of adjacent 859 00:42:12,320 --> 00:42:14,440 Speaker 5: to the news but kind of reach back much further. 860 00:42:14,920 --> 00:42:17,200 Speaker 5: I highly highly recommend his work, and so you know, 861 00:42:17,280 --> 00:42:19,239 Speaker 5: and it's not one of these like we're going to 862 00:42:19,360 --> 00:42:22,320 Speaker 5: argue and slug it out from different ideological perspectives. I 863 00:42:22,360 --> 00:42:26,839 Speaker 5: think all of us have pretty heterodox views, and even Ross, 864 00:42:26,840 --> 00:42:29,960 Speaker 5: who's sort of, you know, an out conservative, has a 865 00:42:29,960 --> 00:42:33,319 Speaker 5: lot of interesting and heterodox perspectives, and so it's really great. 866 00:42:33,360 --> 00:42:34,240 Speaker 2: It's a fun listen. 867 00:42:34,480 --> 00:42:36,439 Speaker 5: It's a fun group of people, you know, just trying 868 00:42:36,480 --> 00:42:38,279 Speaker 5: to come to grips with this crazy time in which 869 00:42:38,320 --> 00:42:40,560 Speaker 5: we're living. And we cover a lot of different subjects, 870 00:42:40,560 --> 00:42:43,520 Speaker 5: not just politics, although of course we are coming into 871 00:42:43,600 --> 00:42:46,680 Speaker 5: a presidential election year, so we are all stuck talking 872 00:42:46,719 --> 00:42:47,839 Speaker 5: about it NonStop. 873 00:42:48,120 --> 00:42:50,840 Speaker 1: I can hear the sort of sadness in your voice. 874 00:42:51,000 --> 00:42:52,799 Speaker 1: It's funny because I feel like I would do a 875 00:42:52,840 --> 00:42:55,440 Speaker 1: show where I like screamed at Ben Shapiro for an hour, 876 00:42:55,760 --> 00:42:57,440 Speaker 1: Like I feel like I could do it. I was 877 00:42:57,440 --> 00:42:58,960 Speaker 1: thinking about it, and I was like, you know, we're 878 00:42:58,960 --> 00:43:01,040 Speaker 1: always like, well, we don't at each other. But then 879 00:43:01,320 --> 00:43:03,719 Speaker 1: sometimes I'll go on these like far right news. I 880 00:43:03,719 --> 00:43:06,520 Speaker 1: went on gb News and I was like, you know, 881 00:43:06,640 --> 00:43:09,400 Speaker 1: I could just sit here for forty minutes and argue 882 00:43:09,400 --> 00:43:11,640 Speaker 1: with you, like I'm fine with that, and yeah, I 883 00:43:11,680 --> 00:43:14,320 Speaker 1: mean I don't know that hearts and minds get changed 884 00:43:14,440 --> 00:43:17,480 Speaker 1: by that, But I don't mind watching it. I mean, 885 00:43:17,480 --> 00:43:19,040 Speaker 1: maybe people don't like to watch it. 886 00:43:19,200 --> 00:43:20,279 Speaker 2: Well, I mean it is. 887 00:43:20,200 --> 00:43:22,839 Speaker 5: Interesting, right, because I do think that, like, I have 888 00:43:22,920 --> 00:43:27,640 Speaker 5: a visceral dislike of kind of like conversation as blood sport, 889 00:43:27,680 --> 00:43:30,440 Speaker 5: where it's like just for the entertainment value of like 890 00:43:30,480 --> 00:43:32,840 Speaker 5: seeing people demolish one another. And there have been like 891 00:43:32,920 --> 00:43:35,359 Speaker 5: Hannity and Calms, and it's like, I mean, poor poor 892 00:43:35,440 --> 00:43:39,920 Speaker 5: Culms was like so overmatched by Sean Hannity. These classic 893 00:43:40,239 --> 00:43:42,399 Speaker 5: kind of battles, you know, whether it's you know, Gore 894 00:43:42,560 --> 00:43:44,080 Speaker 5: Vidal versus William F. 895 00:43:44,120 --> 00:43:44,960 Speaker 2: Buckley or William F. 896 00:43:45,040 --> 00:43:49,000 Speaker 5: Buckley and James Baldwin, the Bloody town Hall conversation with 897 00:43:49,080 --> 00:43:51,319 Speaker 5: Dorman Mahler and all the things. You know, these are 898 00:43:51,520 --> 00:43:54,120 Speaker 5: iconic moments in our culture, and they're iconic for a reason. 899 00:43:54,280 --> 00:43:57,360 Speaker 5: So I think that there is something about this idea 900 00:43:57,400 --> 00:44:00,680 Speaker 5: of like, you know, real passionate argument. And I think 901 00:44:00,760 --> 00:44:03,279 Speaker 5: that that's not necessarily what we're trying to do with 902 00:44:03,320 --> 00:44:05,440 Speaker 5: the show, because we're I think, you know, we're all 903 00:44:05,560 --> 00:44:07,200 Speaker 5: kind of a little bit all over the map in 904 00:44:07,280 --> 00:44:09,960 Speaker 5: terms of our politics. But I do think that kind 905 00:44:10,000 --> 00:44:14,520 Speaker 5: of passionate discussion about things that really matter rather than 906 00:44:14,640 --> 00:44:17,000 Speaker 5: you know, what often substitutes for that is a kind 907 00:44:17,080 --> 00:44:20,680 Speaker 5: of play by play of like the sport or the style, 908 00:44:20,880 --> 00:44:23,440 Speaker 5: you know, So it's either you're talking about the outfits 909 00:44:23,680 --> 00:44:25,960 Speaker 5: or the tactics or And I think that as long 910 00:44:26,000 --> 00:44:28,440 Speaker 5: as the conversation is happening on the level of substance, 911 00:44:28,520 --> 00:44:31,520 Speaker 5: and that's important. The other thing that I do really 912 00:44:31,600 --> 00:44:33,200 Speaker 5: enjoy and I think you and I were talking about 913 00:44:33,200 --> 00:44:34,840 Speaker 5: this when we had lunch the other day, but is 914 00:44:34,960 --> 00:44:38,240 Speaker 5: you know, really seeing someone just like wipe the floor 915 00:44:38,280 --> 00:44:40,759 Speaker 5: with an opponent on a substantive matter. You know, Like, 916 00:44:40,800 --> 00:44:43,240 Speaker 5: I'm no fan of Nikki Haley. I think she's actually 917 00:44:43,320 --> 00:44:46,000 Speaker 5: a huge hypocrite. And my colleague Frank Bruney wrote a 918 00:44:46,040 --> 00:44:48,680 Speaker 5: great piece recently just sort of like taking her apart 919 00:44:48,719 --> 00:44:49,680 Speaker 5: because everyone. 920 00:44:49,400 --> 00:44:50,800 Speaker 2: Was like, oh, she did so great in the debate. 921 00:44:50,880 --> 00:44:53,600 Speaker 5: But all of that being said, I mean, how fun 922 00:44:53,719 --> 00:44:57,319 Speaker 5: was it to watch her just like dismantle vivek Ramaswami. 923 00:44:57,560 --> 00:45:00,920 Speaker 5: You know, every middle aged woman that I know was 924 00:45:00,960 --> 00:45:03,400 Speaker 5: like watching that and just being like, uh huh, we 925 00:45:03,520 --> 00:45:04,440 Speaker 5: know that little twerp. 926 00:45:04,680 --> 00:45:05,799 Speaker 2: You know that guy at the. 927 00:45:05,800 --> 00:45:09,640 Speaker 5: Office that you know who just is so smug and 928 00:45:09,719 --> 00:45:12,400 Speaker 5: so sure of himself and just talks out his ass 929 00:45:12,440 --> 00:45:14,920 Speaker 5: and she just like clean his clocket and that's always 930 00:45:15,000 --> 00:45:15,359 Speaker 5: nice to. 931 00:45:15,280 --> 00:45:17,640 Speaker 1: See, Lydia. Thank you for joining us. 932 00:45:17,960 --> 00:45:18,840 Speaker 2: Always a pleasure. 933 00:45:18,920 --> 00:45:27,680 Speaker 6: Mollie Jesse Cannon, my junk Fast, fresh off of getting 934 00:45:27,719 --> 00:45:32,320 Speaker 6: fully embarrassed by MSNBC's Meddi Hassan Vivek has been embarrassed again. 935 00:45:32,520 --> 00:45:36,719 Speaker 1: I'm so shocked the vic and rhymes with cake or fake. 936 00:45:36,840 --> 00:45:39,880 Speaker 1: He's standing in front of a sign that says truth 937 00:45:40,160 --> 00:45:43,160 Speaker 1: and it falls over and hits him in the head. 938 00:45:43,840 --> 00:45:48,080 Speaker 1: If that isn't on the nose, I don't know what is. 939 00:45:48,560 --> 00:45:54,680 Speaker 1: And so for everyone's favorite climate denier, the truth hurts. 940 00:45:58,760 --> 00:46:02,960 Speaker 1: That's it for this EPA Fast Politics. Tune in every Monday, 941 00:46:02,960 --> 00:46:06,080 Speaker 1: Wednesday and Friday to hear the best minds in politics 942 00:46:06,080 --> 00:46:09,160 Speaker 1: makes sense of all this chaos. If you enjoyed what 943 00:46:09,200 --> 00:46:11,799 Speaker 1: you've heard, please send it to a friend and keep 944 00:46:11,880 --> 00:46:15,000 Speaker 1: the conversation going. And again, thanks for listening.