1 00:00:00,680 --> 00:00:04,200 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,400 --> 00:00:07,160 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,200 --> 00:00:12,120 Speaker 1: today's best minds and everyone was kung fu fighting in Congress. 4 00:00:12,160 --> 00:00:15,240 Speaker 1: Today we have such a great show for you. White 5 00:00:15,240 --> 00:00:20,680 Speaker 1: House Senior Advisor Mitch Landrew details how the Biden administration 6 00:00:20,960 --> 00:00:25,920 Speaker 1: is rebuilding America's infrastructure. Then we'll talk to Boltz magazine 7 00:00:26,079 --> 00:00:31,720 Speaker 1: editor Daniel Nakanian about all of the off off year 8 00:00:31,880 --> 00:00:37,280 Speaker 1: elections that you might have missed. Spoiler Democrats swept the 9 00:00:37,400 --> 00:00:41,840 Speaker 1: judiciary in Pennsylvania. But first we have showtimes the Circus. 10 00:00:42,159 --> 00:00:46,519 Speaker 1: John Heileman, Welcome back to Fast Politics. 11 00:00:46,080 --> 00:00:52,600 Speaker 2: John Fast, Faster, Fastest. However the politics comes, whatever velocity 12 00:00:52,640 --> 00:00:55,400 Speaker 2: it comes at us here. I'm ready to go. I've 13 00:00:55,560 --> 00:00:57,800 Speaker 2: had a guy put one decent night's sleep since nineteen 14 00:00:57,840 --> 00:01:02,520 Speaker 2: eighty seven. I'm ready for what this podcast holds in store. 15 00:01:02,680 --> 00:01:05,200 Speaker 3: Let's go right, Well, as long as you slept in 16 00:01:05,240 --> 00:01:06,959 Speaker 3: the in the eighties. 17 00:01:07,040 --> 00:01:10,240 Speaker 2: I've got my seatbelt on and my leather chaps on 18 00:01:10,480 --> 00:01:11,039 Speaker 2: below the. 19 00:01:14,280 --> 00:01:17,760 Speaker 1: All right, give me the TLDR. What is happening with John, 20 00:01:17,959 --> 00:01:19,560 Speaker 1: with politics, with the world. 21 00:01:19,880 --> 00:01:22,600 Speaker 3: What are you watching? What do you think you what's 22 00:01:22,640 --> 00:01:23,240 Speaker 3: on your mind. 23 00:01:23,360 --> 00:01:26,319 Speaker 2: I love an interviewer who begins with I have no 24 00:01:26,440 --> 00:01:29,200 Speaker 2: real question here. The floor is yours. Back in the 25 00:01:29,280 --> 00:01:32,160 Speaker 2: day when I used to do a hardball with Chris Matthews, 26 00:01:32,280 --> 00:01:35,120 Speaker 2: my favorite question of Chris's was always like he would 27 00:01:35,120 --> 00:01:37,760 Speaker 2: start talking about a topic like abortion in politics or 28 00:01:37,920 --> 00:01:40,520 Speaker 2: the midterms, whatever it was, and he would hold forth 29 00:01:40,560 --> 00:01:43,760 Speaker 2: for you know, two minutes, four minutes, you know, like 30 00:01:43,920 --> 00:01:47,119 Speaker 2: a full skill Joe Scarborough rant for some period of time, 31 00:01:47,319 --> 00:01:51,480 Speaker 2: and then he would say, John Heilman, your thoughts, that's 32 00:01:51,520 --> 00:01:53,960 Speaker 2: what I want, matt And I was always like, I 33 00:01:53,960 --> 00:01:56,280 Speaker 2: don't know you said everything, Chris. I don't know I 34 00:01:56,320 --> 00:01:58,000 Speaker 2: had any thoughts. At this point, I feel like I've 35 00:01:58,000 --> 00:02:00,360 Speaker 2: been beaten with sticks. I'm in New York City. We 36 00:02:00,440 --> 00:02:05,840 Speaker 2: just finished the final six episode run eighth season of 37 00:02:06,560 --> 00:02:10,320 Speaker 2: Showtimes The Circus, which is now part of the history book. 38 00:02:10,360 --> 00:02:12,399 Speaker 2: At least, the incarnation of this show that has lived 39 00:02:12,440 --> 00:02:14,520 Speaker 2: on Showtime for eight years and one hundred and thirty episodes, 40 00:02:14,560 --> 00:02:18,760 Speaker 2: is now finished. What happens next is Anyone's Guests. We'll 41 00:02:18,840 --> 00:02:21,520 Speaker 2: see about that. The show may have some new life 42 00:02:21,720 --> 00:02:23,919 Speaker 2: on some other platform as we go forward. We're trying 43 00:02:23,960 --> 00:02:26,040 Speaker 2: to figure that out. As we speak. That's one of 44 00:02:26,080 --> 00:02:27,679 Speaker 2: the things that's on my mind right now that I'm 45 00:02:27,720 --> 00:02:33,560 Speaker 2: working on. I am amazed by you guys talked about 46 00:02:33,560 --> 00:02:35,120 Speaker 2: this on TV this morning a little bit. But it's 47 00:02:35,200 --> 00:02:37,000 Speaker 2: kind of an awesome world where you live in, where 48 00:02:37,000 --> 00:02:39,919 Speaker 2: it's like the Republican former president United States Republican front 49 00:02:39,960 --> 00:02:43,520 Speaker 2: runner can directly crib from people say echo, it's not 50 00:02:43,560 --> 00:02:46,720 Speaker 2: an echo, it's a crib from mind compf you know, 51 00:02:46,760 --> 00:02:50,160 Speaker 2: you're like writing down the furor's language and you're speaking it. 52 00:02:50,400 --> 00:02:52,839 Speaker 2: And then when someone says, hey, I think I've heard 53 00:02:52,880 --> 00:02:56,080 Speaker 2: that vermin thing before. That's Adolf Hitler, right, And someone 54 00:02:56,120 --> 00:02:59,200 Speaker 2: on the former president's staff says, anyone who says the 55 00:02:59,240 --> 00:03:02,240 Speaker 2: Donald Trump sound like the furor will be consigned to 56 00:03:02,320 --> 00:03:04,280 Speaker 2: hell and will never have a knife. 57 00:03:04,560 --> 00:03:05,680 Speaker 3: It will all be over for that. 58 00:03:06,880 --> 00:03:10,440 Speaker 2: They will be putting Gitmo under the auspices of Stephen Miller, 59 00:03:10,760 --> 00:03:13,920 Speaker 2: Cash Patel and Tiffany Trump forever. 60 00:03:15,160 --> 00:03:17,480 Speaker 3: I can't believe you brought Tiffany into this well. 61 00:03:17,360 --> 00:03:19,560 Speaker 2: Whatever, you know. I mean, I don't like to say 62 00:03:19,560 --> 00:03:23,040 Speaker 2: the other female Trump's name, So it's like yeah, and 63 00:03:23,040 --> 00:03:26,320 Speaker 2: they say, literally, it's like if you're if somebody just says, Hey, 64 00:03:27,120 --> 00:03:30,000 Speaker 2: that's like what Hitler said. Do you off with his head? 65 00:03:30,080 --> 00:03:31,919 Speaker 2: You know, I find it's just kind of incredible. 66 00:03:32,200 --> 00:03:34,320 Speaker 1: Wait, let's talk about this for a second though. Do 67 00:03:34,480 --> 00:03:36,040 Speaker 1: you and I end up at Gimo? 68 00:03:36,400 --> 00:03:40,000 Speaker 2: Yes, oh, yeah, hundred percent, one hundred percent, Molly, Well, 69 00:03:40,040 --> 00:03:41,680 Speaker 2: I won't end up a Givemo because I'll be living 70 00:03:41,720 --> 00:03:43,040 Speaker 2: in Portugal by then. 71 00:03:43,640 --> 00:03:45,440 Speaker 3: Yes, it will just be me and Gimmo. 72 00:03:45,680 --> 00:03:48,520 Speaker 2: I'm in the phase of Porto versus Lisbon at this point, 73 00:03:48,600 --> 00:03:51,400 Speaker 2: like I'm making those contingency plans because there's no doubt. 74 00:03:51,640 --> 00:03:52,800 Speaker 2: You know, it used to be like if you were 75 00:03:52,800 --> 00:03:54,920 Speaker 2: on Nixon's enemies list, there was a chance they would 76 00:03:54,960 --> 00:03:57,800 Speaker 2: audit you, and like, I feel like an audit in 77 00:03:57,840 --> 00:03:59,800 Speaker 2: the if Trump gets re elected, you and I will 78 00:03:59,800 --> 00:04:01,920 Speaker 2: be a lot worse than audits. Let's put it that way. 79 00:04:02,120 --> 00:04:05,040 Speaker 2: It's a cliche now people say, you know, you know 80 00:04:05,120 --> 00:04:07,440 Speaker 2: that whatever her name was used to say, take Trump 81 00:04:07,560 --> 00:04:10,760 Speaker 2: seriously but not literally, and you're just like, again, false binary, 82 00:04:10,840 --> 00:04:13,920 Speaker 2: like take him seriously and take him literally because the 83 00:04:13,920 --> 00:04:15,680 Speaker 2: people who are going to vote for him take him literally. 84 00:04:15,800 --> 00:04:18,720 Speaker 2: And I think there's like a pattern recognition thing here. 85 00:04:18,720 --> 00:04:21,719 Speaker 2: It's like, if you see enough stories where they talk 86 00:04:21,760 --> 00:04:25,600 Speaker 2: about targeting their enemies in very direct ways. You start 87 00:04:25,640 --> 00:04:27,359 Speaker 2: to be like, yeah, it seems like he's got that 88 00:04:27,400 --> 00:04:29,440 Speaker 2: on his mind. Seems like that's what he wants to do, right, 89 00:04:29,760 --> 00:04:31,680 Speaker 2: So I don't know, I'm not gonna take any chances 90 00:04:31,680 --> 00:04:31,920 Speaker 2: with it. 91 00:04:32,120 --> 00:04:35,520 Speaker 1: Yeah, I think that's probably a very depressing but good point, 92 00:04:35,600 --> 00:04:36,040 Speaker 1: I will say. 93 00:04:36,040 --> 00:04:38,320 Speaker 2: By the way, just in terms of like campaign strategy, 94 00:04:38,440 --> 00:04:40,560 Speaker 2: I was just talking to my friend Mark McKinnon, who 95 00:04:40,600 --> 00:04:42,760 Speaker 2: you were on Warning Joe with this morning, and I'm like, 96 00:04:42,880 --> 00:04:44,600 Speaker 2: you know, Mark, when you worked on the Bush campaign, 97 00:04:44,600 --> 00:04:47,279 Speaker 2: you were able to destroy John Kerrey's candidacy by quoting 98 00:04:47,360 --> 00:04:49,680 Speaker 2: him saying I voted for it before I voted against it. 99 00:04:49,839 --> 00:04:52,440 Speaker 2: And now it's like, I wonder the Biden team can 100 00:04:52,520 --> 00:04:54,560 Speaker 2: do something with that Hitler reference. You know, It's like, 101 00:04:56,279 --> 00:04:57,720 Speaker 2: it's how far we've come. 102 00:04:57,720 --> 00:04:58,560 Speaker 4: How far we've come? 103 00:04:59,080 --> 00:05:01,520 Speaker 1: By the way, you I saw that Trump is now 104 00:05:01,600 --> 00:05:04,760 Speaker 1: running I mean this is speaking of like campaign fuck 105 00:05:04,880 --> 00:05:06,360 Speaker 1: Erray Trump is now. 106 00:05:06,320 --> 00:05:10,880 Speaker 3: Running an ad on overturning row for. 107 00:05:10,920 --> 00:05:15,360 Speaker 1: The Iowa caucauses, despite the fact that this is electoral poison. 108 00:05:15,800 --> 00:05:17,680 Speaker 2: Yeah, there's a lot of things to say about that. 109 00:05:17,720 --> 00:05:20,919 Speaker 2: One of them is that he doesn't seem in the 110 00:05:20,960 --> 00:05:23,280 Speaker 2: same place that he sort of doesn't seem to know 111 00:05:23,320 --> 00:05:25,320 Speaker 2: who he's running against. I said to We had this 112 00:05:25,400 --> 00:05:27,160 Speaker 2: in that conversation that Tim Miller and I had had 113 00:05:27,200 --> 00:05:29,200 Speaker 2: with Bannon the other day for the circus. 114 00:05:29,360 --> 00:05:33,160 Speaker 1: What's amazing everyone has to watch that. It's incredible. You really, 115 00:05:33,240 --> 00:05:35,599 Speaker 1: I don't know how you're able to keep her cool 116 00:05:35,920 --> 00:05:37,960 Speaker 1: while losing your shit at the same time. 117 00:05:38,080 --> 00:05:40,040 Speaker 2: It's one of the great challenges of my life. There 118 00:05:40,080 --> 00:05:42,080 Speaker 2: was a moment where Steve was saying, you know, if 119 00:05:42,120 --> 00:05:44,440 Speaker 2: you listen to Trump's speeches, here's a lot of policy 120 00:05:44,440 --> 00:05:47,239 Speaker 2: in there. I'm like, Steve, Steve, have you ever visited 121 00:05:47,279 --> 00:05:49,479 Speaker 2: a memory care unit, you know, for people who have 122 00:05:49,520 --> 00:05:52,320 Speaker 2: advanced to Alzheimer's or dementia. That's what listening to a 123 00:05:52,320 --> 00:05:54,039 Speaker 2: Trump speech is. Like. He doesn't where he is half 124 00:05:54,080 --> 00:05:56,120 Speaker 2: the time, so I don't think he knows in some 125 00:05:56,240 --> 00:05:59,839 Speaker 2: level they really are. Still his campaign is interestingly weirdly, 126 00:06:00,320 --> 00:06:02,640 Speaker 2: they've proven to be very good at certain things, and 127 00:06:02,720 --> 00:06:05,600 Speaker 2: you can't understand the threat if you don't acknowledge that. 128 00:06:05,760 --> 00:06:07,760 Speaker 2: You know, we all said in twenty twenty, were like, 129 00:06:07,880 --> 00:06:10,320 Speaker 2: he's not going to get who voted for Trump in 130 00:06:10,360 --> 00:06:13,279 Speaker 2: twenty sixteen. Who's the person who did voted against Trump 131 00:06:13,320 --> 00:06:15,000 Speaker 2: in twenty sixteen that they're going to turn and go 132 00:06:15,120 --> 00:06:16,560 Speaker 2: to get to vote for him in twenty twenty. And 133 00:06:16,600 --> 00:06:18,160 Speaker 2: they would say to us, they would say, well, we're 134 00:06:18,160 --> 00:06:20,000 Speaker 2: not doing that. Well, we're doing this. We're finding millions 135 00:06:20,000 --> 00:06:22,200 Speaker 2: of people who didn't vote in all in twenty sixteen, 136 00:06:22,200 --> 00:06:23,640 Speaker 2: and we're going to turn those people out and he 137 00:06:23,680 --> 00:06:26,520 Speaker 2: will get more votes. And we all thought bullshit. And 138 00:06:26,560 --> 00:06:28,000 Speaker 2: then they did exactly that. 139 00:06:28,080 --> 00:06:29,200 Speaker 3: They did pretty well. 140 00:06:29,320 --> 00:06:31,440 Speaker 2: They got millions more votes than they got and no one, 141 00:06:31,480 --> 00:06:34,480 Speaker 2: I mean, I would say most smart strategy analysts, strategist 142 00:06:34,520 --> 00:06:37,560 Speaker 2: journalists were like very dubious about their ability to locate 143 00:06:37,600 --> 00:06:40,760 Speaker 2: all these hidden Trump voters. And they did. They found him, 144 00:06:40,800 --> 00:06:43,400 Speaker 2: and so you can't just say they're incompetent. There is 145 00:06:43,440 --> 00:06:45,760 Speaker 2: this other thing, though, where they seem to think you 146 00:06:45,800 --> 00:06:48,080 Speaker 2: can put an ad on in Iowa for the primary 147 00:06:48,240 --> 00:06:51,440 Speaker 2: and that no one will remember that ad or use 148 00:06:51,480 --> 00:06:54,400 Speaker 2: it against him in a general election, where indeed, you 149 00:06:54,440 --> 00:06:56,280 Speaker 2: know the position of I repealed Roe v. 150 00:06:56,400 --> 00:06:56,679 Speaker 4: Wade. 151 00:06:56,720 --> 00:07:00,320 Speaker 2: I'm proud Roby Wade loved the land before me, after 152 00:07:00,360 --> 00:07:03,760 Speaker 2: me gone gone. So like as if that's not going 153 00:07:03,800 --> 00:07:06,320 Speaker 2: to be a thing they we'll use against him. And obviously, 154 00:07:06,400 --> 00:07:08,520 Speaker 2: you know, he is electoral poison. I don't think he 155 00:07:08,640 --> 00:07:11,200 Speaker 2: sort of gets that people are watching right now, you know, 156 00:07:11,280 --> 00:07:13,400 Speaker 2: and that those ads are like in the are being 157 00:07:13,440 --> 00:07:15,400 Speaker 2: loaded up in the cannon to be fired at him 158 00:07:15,400 --> 00:07:17,000 Speaker 2: over the course of the general election. It's one of 159 00:07:17,040 --> 00:07:19,480 Speaker 2: many things that should make Trump totally unelectable. 160 00:07:19,720 --> 00:07:21,920 Speaker 1: Yeah, what are the other things that should make Trump? 161 00:07:21,960 --> 00:07:26,200 Speaker 1: I mean besides criminal the ninety one criminal indetmonds well, and. 162 00:07:26,160 --> 00:07:29,240 Speaker 2: The citations and the regular citations of Hitler, you know, 163 00:07:29,920 --> 00:07:32,600 Speaker 2: you know those things, those you know, the small things 164 00:07:32,640 --> 00:07:36,080 Speaker 2: that should make him unfit for you know, any office, 165 00:07:36,160 --> 00:07:37,520 Speaker 2: let alone the highest office on the land. 166 00:07:37,600 --> 00:07:39,600 Speaker 1: One of the things that I'm struck by is that 167 00:07:40,080 --> 00:07:43,080 Speaker 1: it seems to me like Republicans made a Fastian bargain 168 00:07:43,280 --> 00:07:45,520 Speaker 1: in twenty fifteen with Trump, and they said, we're going 169 00:07:45,560 --> 00:07:49,480 Speaker 1: to touch the fourth rail. We're going to embrace racism, 170 00:07:49,480 --> 00:07:52,440 Speaker 1: We're going to embrace the things we pretended to hate before, 171 00:07:52,640 --> 00:07:56,120 Speaker 1: or pretended not to embrace, but quietly dog whistled too. 172 00:07:56,240 --> 00:07:58,720 Speaker 1: And one of those things is anti choice. 173 00:07:58,800 --> 00:07:58,920 Speaker 5: Right. 174 00:07:58,960 --> 00:08:03,080 Speaker 1: They always sort of kept moderated enough, right with Roe, 175 00:08:03,200 --> 00:08:05,440 Speaker 1: so that there was a chance you know who even knew. 176 00:08:05,760 --> 00:08:07,160 Speaker 1: And I think one of the things that worked for 177 00:08:07,200 --> 00:08:09,440 Speaker 1: Trump was that he was such a roar shack. He 178 00:08:09,480 --> 00:08:11,720 Speaker 1: had no voting record. You could say he was Some 179 00:08:11,760 --> 00:08:14,320 Speaker 1: people could say to themselves, well, he's an evangelical now, 180 00:08:14,360 --> 00:08:16,679 Speaker 1: and other people could say, well, he's a liberal because 181 00:08:16,680 --> 00:08:18,560 Speaker 1: he's from New York and he used to be a Democrat. 182 00:08:19,200 --> 00:08:21,920 Speaker 1: Now they have this right word flank that is so 183 00:08:22,280 --> 00:08:26,600 Speaker 1: used to being appeased and given things they want you 184 00:08:26,680 --> 00:08:28,080 Speaker 1: can't backpedal. 185 00:08:28,120 --> 00:08:30,840 Speaker 3: I mean that Crew wants a federal abortion ban. 186 00:08:31,600 --> 00:08:33,800 Speaker 2: Yeah, I mean, look, I think you would add one 187 00:08:33,840 --> 00:08:35,640 Speaker 2: thing to the list with Trump, which is that you know, 188 00:08:35,800 --> 00:08:37,240 Speaker 2: not only was he in New Yorker, and not only 189 00:08:37,280 --> 00:08:38,960 Speaker 2: had he given money to Democrats, and not only has 190 00:08:39,000 --> 00:08:40,920 Speaker 2: he had he voted as a Democrat in those times, 191 00:08:41,320 --> 00:08:44,800 Speaker 2: everyone you knew just assumed that he paid for at 192 00:08:44,880 --> 00:08:47,679 Speaker 2: least a couple dozen abortions over the course of his life. Right, 193 00:08:47,720 --> 00:08:50,800 Speaker 2: I mean that he was functionally pro choice, even if 194 00:08:50,840 --> 00:08:54,800 Speaker 2: he hadn't given the matter any serious spiritual or moral consideration. 195 00:08:54,880 --> 00:08:57,320 Speaker 2: And whenever I used the word spiritual and moral consideration 196 00:08:57,360 --> 00:08:59,160 Speaker 2: next to Donald Trump, it like feels like I'm talking 197 00:08:59,160 --> 00:09:03,120 Speaker 2: about like my daughter Calculus. You know, It's like, I like, really, 198 00:09:03,360 --> 00:09:05,960 Speaker 2: but I think people just assumed that he could project 199 00:09:06,000 --> 00:09:08,760 Speaker 2: that thing. He needed to say these things to get 200 00:09:09,080 --> 00:09:11,920 Speaker 2: the solid support of evangelicals. He needed to say these 201 00:09:11,920 --> 00:09:14,800 Speaker 2: things in order to get this very important part of 202 00:09:14,400 --> 00:09:16,400 Speaker 2: the of the Republican coalition. You know, when they were 203 00:09:16,400 --> 00:09:20,760 Speaker 2: planning the twenty sixteen campaign and Bannon was feeding him 204 00:09:21,160 --> 00:09:25,439 Speaker 2: the populist, a nationalist, anti China, build a wall, all 205 00:09:25,480 --> 00:09:28,880 Speaker 2: of that nativist, populist, grievance based stuff. That was like 206 00:09:28,960 --> 00:09:31,120 Speaker 2: the core of what Bannon wanted to run on and 207 00:09:31,320 --> 00:09:34,080 Speaker 2: what he saw a lane for a politician who could 208 00:09:34,080 --> 00:09:37,640 Speaker 2: take over the Republican Party by appealing to those parts 209 00:09:37,679 --> 00:09:39,880 Speaker 2: that increasingly large part of the base that was like 210 00:09:39,960 --> 00:09:43,640 Speaker 2: that the big problem was, you know, there's this giant, 211 00:09:43,800 --> 00:09:46,320 Speaker 2: huge chunk of Christian conservatives who have such a dominant, 212 00:09:46,320 --> 00:09:50,400 Speaker 2: outsize role in Republican presidential nominating politics. And so I 213 00:09:50,440 --> 00:09:51,679 Speaker 2: was like, well, what are we going to do about that? 214 00:09:51,840 --> 00:09:54,040 Speaker 2: And I think you know Trump's attitude was, you know, 215 00:09:54,200 --> 00:09:56,400 Speaker 2: I'll just tell him I'm before I'm for repealing, I'll 216 00:09:56,400 --> 00:09:58,440 Speaker 2: say I'm going to repeal ruebu wad, and I'll let 217 00:09:58,440 --> 00:10:00,880 Speaker 2: the Federal Society pick the judges and that all appease them. 218 00:10:01,360 --> 00:10:04,160 Speaker 2: It's worth a shot. And I can very vividly remember 219 00:10:04,240 --> 00:10:06,600 Speaker 2: being with him in Iowa three or four days before 220 00:10:06,600 --> 00:10:09,440 Speaker 2: the caucus in sixteen, up in Sioux City, the most 221 00:10:09,440 --> 00:10:11,800 Speaker 2: conservative part of Iowa, sitting there watching him sit on 222 00:10:11,800 --> 00:10:14,760 Speaker 2: on stage in a beautiful old theater with Franklin Graham, 223 00:10:14,920 --> 00:10:16,840 Speaker 2: you know who he had roped in and it was 224 00:10:16,880 --> 00:10:20,600 Speaker 2: like the ultimate evangelical impromature. And you're like, hey, I 225 00:10:20,640 --> 00:10:24,240 Speaker 2: can't believe this worked. Are these people stupid or what? 226 00:10:24,440 --> 00:10:26,320 Speaker 2: And I think they again, And one of the times 227 00:10:26,360 --> 00:10:29,040 Speaker 2: when we smart ass pundits were like, oh it turned out, 228 00:10:29,080 --> 00:10:32,640 Speaker 2: they were like, yeah, we don't really believe he cares 229 00:10:32,679 --> 00:10:34,720 Speaker 2: about this issue, but we think he will do what 230 00:10:34,760 --> 00:10:36,920 Speaker 2: he said he would do, which is like the Federal 231 00:10:36,960 --> 00:10:39,680 Speaker 2: Society picked the judges and lo and behold, you know 232 00:10:39,800 --> 00:10:41,880 Speaker 2: that's what happened. The thing about the Iowa thing, this 233 00:10:41,920 --> 00:10:43,240 Speaker 2: is the thing I forgot that I meant to say 234 00:10:43,280 --> 00:10:46,800 Speaker 2: a second ago, is it is the state where he 235 00:10:46,960 --> 00:10:49,200 Speaker 2: is the only I mean stated Trump is so full 236 00:10:49,240 --> 00:10:53,440 Speaker 2: of false confidence and exaggerated brio about everything you know, 237 00:10:53,480 --> 00:10:55,400 Speaker 2: he's like, I understand the people wh knew Hampshire. You know, 238 00:10:55,440 --> 00:10:57,760 Speaker 2: I understand the people Mississippi. They're just like me. But 239 00:10:57,840 --> 00:11:00,280 Speaker 2: he really does. He looks around the country and you know, 240 00:11:00,320 --> 00:11:03,720 Speaker 2: whether it's the northeast or the southeast, you know, the 241 00:11:03,760 --> 00:11:06,520 Speaker 2: Florida part of the world, or the Deep South or 242 00:11:06,559 --> 00:11:08,560 Speaker 2: the Mountain West, and a place is like, you know 243 00:11:08,640 --> 00:11:11,240 Speaker 2: the plan, you know, in the place like Nevada or Arizona, 244 00:11:11,360 --> 00:11:15,280 Speaker 2: he's very confident that he understands those people. And the 245 00:11:15,320 --> 00:11:17,600 Speaker 2: one place in the country where he never you always 246 00:11:17,800 --> 00:11:20,800 Speaker 2: then the industrial Midwest. You know that the working class 247 00:11:21,080 --> 00:11:24,720 Speaker 2: is of Pennsylvania, Ohio, Michigan, Ohio, the place where he 248 00:11:24,760 --> 00:11:27,160 Speaker 2: doesn't really have a feel for it, has never had 249 00:11:27,160 --> 00:11:29,280 Speaker 2: a fingertip feel for it, and he knows it, and 250 00:11:29,320 --> 00:11:31,400 Speaker 2: you can see it because he doesn't express the same 251 00:11:31,480 --> 00:11:33,720 Speaker 2: kind of confidence. Is that part of the Midwest that's 252 00:11:33,760 --> 00:11:37,480 Speaker 2: just full of nice people, you know, right like Iowa 253 00:11:37,679 --> 00:11:40,679 Speaker 2: nice and Donald Trump don't just He's like, who the 254 00:11:40,679 --> 00:11:43,200 Speaker 2: fuck are these people? Like I don't understand them at all? 255 00:11:43,640 --> 00:11:46,240 Speaker 2: And so he and he lost there, as we all 256 00:11:46,280 --> 00:11:48,880 Speaker 2: remember to Ted Cruz, right, and I think it makes 257 00:11:48,920 --> 00:11:51,480 Speaker 2: him crazy that it's this place where he never is 258 00:11:51,520 --> 00:11:54,920 Speaker 2: really understood Iowa. Side note the other major national politician 259 00:11:54,960 --> 00:11:56,800 Speaker 2: who feels the same way as Hillary Clinton. They're like, 260 00:11:56,840 --> 00:11:58,680 Speaker 2: I just don't get this state, you know. And so 261 00:11:58,760 --> 00:12:02,640 Speaker 2: when he's been in Iowa more in this run than 262 00:12:02,679 --> 00:12:05,400 Speaker 2: any other place, he goes keeps going back again and again, 263 00:12:05,440 --> 00:12:07,920 Speaker 2: and he's putting money into it, and he's advertising there. 264 00:12:07,920 --> 00:12:10,040 Speaker 2: And I think that's part of the thing you see 265 00:12:10,040 --> 00:12:13,600 Speaker 2: with those abortion adds is a desperation. He really wants 266 00:12:13,640 --> 00:12:16,040 Speaker 2: to win Iowa and be able to say to people, 267 00:12:16,200 --> 00:12:18,680 Speaker 2: I now understand that I understand the people of Iowa. 268 00:12:18,800 --> 00:12:21,360 Speaker 2: You know, those those people out there, I understand that 269 00:12:21,520 --> 00:12:23,800 Speaker 2: what do they called the Cornhuskers, no weight, that's Nebraska. 270 00:12:23,960 --> 00:12:26,920 Speaker 2: It's like he just really needs Iowa to feel like 271 00:12:27,080 --> 00:12:30,120 Speaker 2: psychically complete, like he has full dominance of America. So 272 00:12:30,160 --> 00:12:31,920 Speaker 2: he's just willing to do whatever, even if it makes 273 00:12:31,960 --> 00:12:33,240 Speaker 2: no strategic sense whatsoever. 274 00:12:33,600 --> 00:12:35,760 Speaker 1: Right, And I think that's right because the truth is 275 00:12:36,160 --> 00:12:38,240 Speaker 1: there's no one even close to him in the polls. 276 00:12:38,520 --> 00:12:40,720 Speaker 2: That's right, you know. But you know, like I said, 277 00:12:40,720 --> 00:12:42,600 Speaker 2: you know, this is the thing with politicians is that 278 00:12:42,679 --> 00:12:45,000 Speaker 2: they get a thing in their craw. He is just 279 00:12:45,120 --> 00:12:47,280 Speaker 2: he looks at Iowa and thinks, you know, I am 280 00:12:47,440 --> 00:12:49,280 Speaker 2: not going to let that happen again. I'm not going 281 00:12:49,360 --> 00:12:51,400 Speaker 2: to let this campaign start with the loss. And you know, 282 00:12:51,480 --> 00:12:53,640 Speaker 2: maybe all the numbers you see, like, what's going to 283 00:12:53,679 --> 00:12:56,040 Speaker 2: happen if any one of these people drop out. He's 284 00:12:55,880 --> 00:12:57,960 Speaker 2: the thing with Trump is in Iowa, he is the 285 00:12:58,000 --> 00:13:00,679 Speaker 2: second choice of almost everybody who is not with him 286 00:13:00,679 --> 00:13:03,360 Speaker 2: on the first choice. So it's like if Santa drops out, 287 00:13:03,360 --> 00:13:06,679 Speaker 2: what happens most of the Santa supporters moved to Trump. 288 00:13:06,760 --> 00:13:09,000 Speaker 2: If Haley drops out, same thing. I don't think he's 289 00:13:09,000 --> 00:13:11,600 Speaker 2: going to lose in Iowa, but he's haunted clearly by 290 00:13:11,760 --> 00:13:14,800 Speaker 2: the fact that Fad Dracula beat him in twenty sixteen. 291 00:13:15,040 --> 00:13:15,760 Speaker 4: Yeah, de. 292 00:13:17,920 --> 00:13:20,640 Speaker 2: Fat Draculus will always be my favorite thing for him 293 00:13:21,280 --> 00:13:23,200 Speaker 2: if it's the only place where I mean, Lion Ted 294 00:13:23,320 --> 00:13:25,080 Speaker 2: was really good, but Fat Dracula is better. 295 00:13:25,320 --> 00:13:26,520 Speaker 3: Yeah, that's incredible. 296 00:13:26,600 --> 00:13:28,839 Speaker 1: I mean I was sort of him as fat Wolverine, 297 00:13:28,840 --> 00:13:33,000 Speaker 1: but Fat Dracula is one hundred times batter because ultimately 298 00:13:33,120 --> 00:13:34,240 Speaker 1: he really is Dracula. 299 00:13:34,440 --> 00:13:36,079 Speaker 2: He does want to suck your blood. He wants to 300 00:13:36,240 --> 00:13:37,800 Speaker 2: he loves to site. If I could do a Ted 301 00:13:37,840 --> 00:13:38,360 Speaker 2: cruz accent. 302 00:13:38,760 --> 00:13:39,800 Speaker 4: I want to suck your blood. 303 00:13:39,840 --> 00:13:40,720 Speaker 2: That's what it's all about. 304 00:13:41,440 --> 00:13:44,560 Speaker 1: And he leaves the dog alone, which is unforgivable. So, 305 00:13:45,120 --> 00:13:46,959 Speaker 1: by the way, you have a lot of. 306 00:13:46,920 --> 00:13:49,480 Speaker 3: Experience with this. Notice how I'm not saying you're old 307 00:13:49,520 --> 00:13:50,240 Speaker 3: because you're not. 308 00:13:50,520 --> 00:13:54,920 Speaker 2: Oh I'm old, Molly, I'm old. I'm ancient, but barely 309 00:13:54,960 --> 00:13:55,920 Speaker 2: ambulatory at this. 310 00:13:55,840 --> 00:13:59,520 Speaker 3: Point in the house we have it's very religious. 311 00:14:00,160 --> 00:14:02,160 Speaker 1: I was a lot as the Speaker of the House now, 312 00:14:02,240 --> 00:14:06,040 Speaker 1: Mike Johnson, he is hurtling towards the shutdown right before Thanksgiving. 313 00:14:06,120 --> 00:14:09,040 Speaker 1: I mean, do you think this will reflect or you 314 00:14:09,080 --> 00:14:10,600 Speaker 1: think all of this will be in the rear view 315 00:14:10,640 --> 00:14:12,520 Speaker 1: by twenty four and no one will care. 316 00:14:12,800 --> 00:14:16,440 Speaker 2: I think it will reflect the whole debacle by which 317 00:14:16,640 --> 00:14:19,440 Speaker 2: we got this speaker. I think is a thing that 318 00:14:19,480 --> 00:14:21,920 Speaker 2: will leave and what it's obviously going to lead to, 319 00:14:21,960 --> 00:14:25,520 Speaker 2: which is an enormous amount of incompetence and miscalculation stupidity 320 00:14:25,560 --> 00:14:28,240 Speaker 2: over the course the next nine months. I think it is. 321 00:14:28,640 --> 00:14:32,800 Speaker 2: It will definitely leave a mark on the House Republicans 322 00:14:32,800 --> 00:14:35,600 Speaker 2: and their ability to have any chance whatsoever of keeping 323 00:14:35,600 --> 00:14:38,400 Speaker 2: control even you know those by the slimmest margins of 324 00:14:38,440 --> 00:14:40,360 Speaker 2: the House of Representatives, and I think you know that 325 00:14:40,840 --> 00:14:46,080 Speaker 2: there there is the picture of Republican extremism and dysfunction 326 00:14:46,320 --> 00:14:49,920 Speaker 2: combined together. You know, it's like, you know, fat, dumb 327 00:14:49,920 --> 00:14:51,360 Speaker 2: and stupid is no way to go through college. 328 00:14:51,360 --> 00:14:51,560 Speaker 4: Son. 329 00:14:51,680 --> 00:14:55,320 Speaker 2: It's like, you know, it's like it's like extreme, dysfunctional 330 00:14:55,600 --> 00:14:59,960 Speaker 2: and lunatic is not a great profile for a candidate 331 00:15:00,120 --> 00:15:01,800 Speaker 2: a swing in a swing district, you know. 332 00:15:01,800 --> 00:15:02,400 Speaker 3: In America. 333 00:15:02,920 --> 00:15:04,800 Speaker 2: I think all of that will will add here. And 334 00:15:04,800 --> 00:15:06,680 Speaker 2: I think if they shut the government down, you know, 335 00:15:06,720 --> 00:15:09,440 Speaker 2: this speaker clearly wants to shut the government down. Like 336 00:15:09,480 --> 00:15:11,520 Speaker 2: That's the funny thing about this is that it's like, 337 00:15:11,840 --> 00:15:14,160 Speaker 2: will Mike Johnson come up with a clever plan to 338 00:15:14,240 --> 00:15:16,120 Speaker 2: keep the government open. It's like, deep in his heart, 339 00:15:16,160 --> 00:15:18,760 Speaker 2: the guy's like, shut this shit down. And I think, well, 340 00:15:18,800 --> 00:15:21,960 Speaker 2: that that will hurt Republicans. I think Republicans are doomed 341 00:15:21,960 --> 00:15:23,800 Speaker 2: in the House anyway, but I think it will further 342 00:15:23,880 --> 00:15:25,960 Speaker 2: doom them. Do I think it will play in the 343 00:15:26,000 --> 00:15:29,440 Speaker 2: presidential thing? I don't really because I don't. I think 344 00:15:29,440 --> 00:15:32,000 Speaker 2: Trump is suey generous. You know, you can try to 345 00:15:32,040 --> 00:15:35,480 Speaker 2: make some attenuated argument about you know, Bannon and Gates 346 00:15:35,520 --> 00:15:38,280 Speaker 2: and them being trumpy and like, you know, they are obviously, 347 00:15:38,560 --> 00:15:40,960 Speaker 2: And I don't think anybody who is seriously contemplating a 348 00:15:41,000 --> 00:15:43,280 Speaker 2: vote between Joe Biden and Donald Trump is going to 349 00:15:43,320 --> 00:15:45,280 Speaker 2: be like, hey, the reason to vote against Trump is 350 00:15:45,320 --> 00:15:47,480 Speaker 2: because of you know, I'm on the fence here about 351 00:15:47,480 --> 00:15:50,160 Speaker 2: these two. But like Mike Johnson is what I'm gonna 352 00:15:50,360 --> 00:15:52,680 Speaker 2: is going to be the killer, the dagger to Trump's heart. 353 00:15:52,720 --> 00:15:54,760 Speaker 2: I just don't see that as being like the decisive 354 00:15:55,160 --> 00:15:56,200 Speaker 2: move and size of factor. 355 00:15:57,040 --> 00:15:57,560 Speaker 3: But it does. 356 00:15:57,680 --> 00:16:01,280 Speaker 1: It certainly does paint an incredible picture of Republicans unable 357 00:16:01,360 --> 00:16:01,920 Speaker 1: to govern. 358 00:16:02,280 --> 00:16:04,440 Speaker 2: Yes, And I think, you know, we reach that point 359 00:16:04,440 --> 00:16:09,040 Speaker 2: with the speaker fiasco where it broke through in the 360 00:16:09,040 --> 00:16:11,760 Speaker 2: way that things that matter break through, which is like 361 00:16:11,840 --> 00:16:13,800 Speaker 2: when the thing breaks through to the point that it's 362 00:16:13,840 --> 00:16:17,280 Speaker 2: the subject of late night comedy or YouTube memes or 363 00:16:17,320 --> 00:16:19,720 Speaker 2: you know, social media memes or whatever the you know, 364 00:16:19,840 --> 00:16:22,000 Speaker 2: take your pick of the various four of the various 365 00:16:22,040 --> 00:16:25,560 Speaker 2: platforms in which people who are ostensibly serious start to 366 00:16:25,600 --> 00:16:28,120 Speaker 2: become the butt of widespread jokes. That's an issue of 367 00:16:28,160 --> 00:16:30,520 Speaker 2: political issue that's starting to cut. You know, where you 368 00:16:30,520 --> 00:16:32,720 Speaker 2: could do an SNL cold open with a bunch of 369 00:16:32,760 --> 00:16:35,480 Speaker 2: people in it who no one knows Like SNL is 370 00:16:35,480 --> 00:16:37,560 Speaker 2: always like, hey, we do cold opens. We do them 371 00:16:37,560 --> 00:16:41,840 Speaker 2: about presidents, vice presidents, you know, presidential two nominees of 372 00:16:41,880 --> 00:16:45,200 Speaker 2: a party. Nobody's like at the level of Lauren Bobert, 373 00:16:45,280 --> 00:16:47,960 Speaker 2: you know, has ever been honest at SNL cold open before? 374 00:16:48,080 --> 00:16:48,680 Speaker 3: Right? 375 00:16:48,680 --> 00:16:51,080 Speaker 2: But now we're at the place where the Republicans collectively 376 00:16:51,120 --> 00:16:54,120 Speaker 2: are such a laughing stock that Saturday Night Live is like, yeah, 377 00:16:54,200 --> 00:16:55,440 Speaker 2: you know what, we can put up a bunch of 378 00:16:55,480 --> 00:16:58,560 Speaker 2: Republican backbenchers here in the cold open and people will 379 00:16:58,680 --> 00:17:01,360 Speaker 2: get why this is funny. That's not a great place 380 00:17:01,360 --> 00:17:03,600 Speaker 2: to be in for National Political Party. 381 00:17:05,040 --> 00:17:06,480 Speaker 3: John, I hope you'll come back. 382 00:17:06,760 --> 00:17:08,639 Speaker 2: Oh, I'll come back. When have I ever said no? 383 00:17:10,040 --> 00:17:13,400 Speaker 2: Sometimes I say later, sometimes I say not this week. 384 00:17:13,480 --> 00:17:16,080 Speaker 2: But I never say no to the Great Molly Jong 385 00:17:16,119 --> 00:17:19,359 Speaker 2: Fast partly because I know that if I ever really 386 00:17:19,359 --> 00:17:21,600 Speaker 2: said no, you would turn on me and say I 387 00:17:21,640 --> 00:17:24,480 Speaker 2: am your retribution or I am my retribution, and then 388 00:17:24,520 --> 00:17:27,639 Speaker 2: I just get fast, faster or fastest retribution. Who wants that. 389 00:17:32,800 --> 00:17:36,040 Speaker 1: Mitch Landrew is a White House senior advisor and the 390 00:17:36,240 --> 00:17:41,240 Speaker 1: former mayor of New Orleans. Welcome back to Fast Politics. 391 00:17:41,760 --> 00:17:44,920 Speaker 1: Mitch Landrew, Where are you at, baby? 392 00:17:47,560 --> 00:17:50,760 Speaker 4: People are not going to understand that it's been better 393 00:17:51,119 --> 00:17:53,720 Speaker 4: if you're from New York. Where yet I'm doing great? 394 00:17:53,800 --> 00:17:54,600 Speaker 4: Thank you for asking. 395 00:17:55,280 --> 00:17:59,119 Speaker 1: It's a year since you became senior Advisor and the 396 00:17:59,200 --> 00:18:01,439 Speaker 1: Structural Court at the White House. 397 00:18:01,840 --> 00:18:03,399 Speaker 4: No, ma'am, I don't want to start off on the 398 00:18:03,440 --> 00:18:05,080 Speaker 4: wrong foot. But it's been two years. 399 00:18:05,160 --> 00:18:07,040 Speaker 3: Two years. It's two years. 400 00:18:07,280 --> 00:18:09,040 Speaker 4: I don't understand. Why are you trying to shorten me. 401 00:18:09,119 --> 00:18:14,320 Speaker 4: I'm two years, So explain to us what that looks like. Oh, 402 00:18:14,359 --> 00:18:17,119 Speaker 4: it's just it's been so unbelievable. You know. When I 403 00:18:17,320 --> 00:18:21,280 Speaker 4: was had the joy of being a Mariti Arleans during 404 00:18:21,520 --> 00:18:23,679 Speaker 4: maybe the most difficult time in the history because we 405 00:18:23,720 --> 00:18:26,320 Speaker 4: had to rebuild the city and it was really hard, 406 00:18:26,480 --> 00:18:28,760 Speaker 4: but we did it and it was a soulful, wonderful 407 00:18:28,920 --> 00:18:31,200 Speaker 4: experience that I learned a lot of lessons strong. So 408 00:18:31,240 --> 00:18:32,959 Speaker 4: when the President called me and said, hey, would you 409 00:18:32,960 --> 00:18:35,200 Speaker 4: come up here and help rebuild the country, I was like, 410 00:18:35,240 --> 00:18:37,760 Speaker 4: I'm all in. What you know, you're kind of starting 411 00:18:37,760 --> 00:18:41,280 Speaker 4: off from scratch because the country hasn't done this in 412 00:18:41,320 --> 00:18:44,000 Speaker 4: a long long time. And I mean like Franklin del 413 00:18:44,080 --> 00:18:47,640 Speaker 4: and R. Roosevelt long or Eisenhower long our royal electrification 414 00:18:47,720 --> 00:18:50,560 Speaker 4: long shows a daunting task, and most people he didn't 415 00:18:50,560 --> 00:18:52,399 Speaker 4: think it was going to happen, and be thought that 416 00:18:52,440 --> 00:18:54,520 Speaker 4: if the bill passed it, we couldn't get anything done. 417 00:18:54,560 --> 00:18:56,560 Speaker 4: So here we are two years later, we're bringing receipts 418 00:18:56,600 --> 00:19:00,480 Speaker 4: chapter verse daytime place. We have forty thousand projects that 419 00:19:00,600 --> 00:19:04,400 Speaker 4: are under some level of formation right now in all 420 00:19:04,600 --> 00:19:08,040 Speaker 4: fifty states, in four thousand, five hundred communities and the 421 00:19:08,160 --> 00:19:11,280 Speaker 4: territories in DC. And so when the President said, hey, look, 422 00:19:11,320 --> 00:19:13,000 Speaker 4: I have an idea. I have a vision for how 423 00:19:13,040 --> 00:19:16,560 Speaker 4: you make America strong, both at home and abroad. The 424 00:19:16,600 --> 00:19:18,679 Speaker 4: way you do that is invest in the American people, 425 00:19:19,080 --> 00:19:21,720 Speaker 4: and you invest in real things that people need every 426 00:19:21,800 --> 00:19:24,520 Speaker 4: day to make their lives better. That's what the idea was. 427 00:19:24,560 --> 00:19:27,720 Speaker 4: And so as a consequence, we pass this piece of legislation, which, 428 00:19:27,720 --> 00:19:29,680 Speaker 4: along by the way, with the Chips Act and Inflation 429 00:19:29,760 --> 00:19:32,959 Speaker 4: Reduction Act, the American Rescue Plan are creating I don't know, 430 00:19:33,240 --> 00:19:36,040 Speaker 4: we're up to past fourteen million jobs now, eight hundred 431 00:19:36,080 --> 00:19:39,480 Speaker 4: thousand manufacturing jobs, another six hundred thousand constructing jobs. People 432 00:19:39,520 --> 00:19:44,560 Speaker 4: back to work making good money, and we're rebuilding communities, roads, bridges, airports, ports, waterways, 433 00:19:44,640 --> 00:19:46,960 Speaker 4: high speed internet, clean air, safe water. 434 00:19:47,280 --> 00:19:48,879 Speaker 1: So I know what you guys have been up to 435 00:19:48,920 --> 00:19:51,560 Speaker 1: because I listened to c SPAN. But for the people 436 00:19:51,560 --> 00:19:54,679 Speaker 1: who don't listen to c SPAN, last week was a 437 00:19:54,720 --> 00:19:55,920 Speaker 1: big week for trains. 438 00:19:56,000 --> 00:19:57,160 Speaker 3: Let's talk about trains. 439 00:19:57,400 --> 00:20:01,040 Speaker 4: Well, if you live on the Northeast cor this is 440 00:20:01,080 --> 00:20:03,160 Speaker 4: something that you know very very well. And by the way, 441 00:20:03,280 --> 00:20:05,080 Speaker 4: the only way that I can start off talking about 442 00:20:05,119 --> 00:20:06,960 Speaker 4: trains is to say that the President of United States 443 00:20:07,000 --> 00:20:10,040 Speaker 4: is a train guy. People should know his story fairly 444 00:20:10,040 --> 00:20:13,240 Speaker 4: well that when he was twenty nine he was elected 445 00:20:13,240 --> 00:20:15,880 Speaker 4: to the United States Senate, there was an incredible tragedy 446 00:20:15,920 --> 00:20:18,800 Speaker 4: in his family. His wife was killed in a car accident. 447 00:20:18,840 --> 00:20:22,080 Speaker 4: He traveled back and forth on Amtrak home at night 448 00:20:22,160 --> 00:20:24,719 Speaker 4: to take care of his two younger sons, and essentially 449 00:20:24,800 --> 00:20:26,320 Speaker 4: did that pretty much every day he was in the 450 00:20:26,359 --> 00:20:29,080 Speaker 4: Senate until he became Vice president. That is a familiar 451 00:20:29,119 --> 00:20:32,760 Speaker 4: experience traveling on the Northeast Corridor from Washington, d C. 452 00:20:33,040 --> 00:20:36,520 Speaker 4: To Boston. And last week, the President and downd sixteen 453 00:20:36,520 --> 00:20:39,879 Speaker 4: point four billion dollars, which is just a piece of 454 00:20:39,920 --> 00:20:42,479 Speaker 4: the investments we're making to trying to have world class 455 00:20:42,600 --> 00:20:44,840 Speaker 4: rail in the United States of America, so you can 456 00:20:44,880 --> 00:20:47,080 Speaker 4: live anywhere along the northeast Corrida all the way from 457 00:20:47,119 --> 00:20:50,600 Speaker 4: Boston down to Washington, d C. The Frederick Douglas Tunnel 458 00:20:50,600 --> 00:20:54,040 Speaker 4: in Baltimore, the Susquehanna Bridge, the thirteen bridges in that 459 00:20:54,119 --> 00:20:55,919 Speaker 4: area that over one hundred years old that are going 460 00:20:55,960 --> 00:20:58,840 Speaker 4: to get replaced. Everybody knows what the choke points are 461 00:20:58,880 --> 00:21:00,680 Speaker 4: in New York around the hug And Tunnel and the 462 00:21:00,680 --> 00:21:05,199 Speaker 4: Gateway Project, eleven billion dollars invested in finally fixing that 463 00:21:05,359 --> 00:21:08,040 Speaker 4: really difficult situation that, by the way, is still suffering 464 00:21:08,040 --> 00:21:10,840 Speaker 4: from some kind of saltwater intrusion from Sandy. A lot 465 00:21:10,840 --> 00:21:14,040 Speaker 4: of investments there to make people's lives better. And then, 466 00:21:14,080 --> 00:21:17,119 Speaker 4: of course they're huge numbers. More than that, high speed 467 00:21:17,119 --> 00:21:19,560 Speaker 4: internet's critically important. I just got off a call with 468 00:21:19,640 --> 00:21:22,160 Speaker 4: the Majority leader about two hundred jobs that are being 469 00:21:22,200 --> 00:21:25,280 Speaker 4: created in Syracuse by a company called PPC that is 470 00:21:25,359 --> 00:21:28,000 Speaker 4: going to start making fiber optic cable there. And we 471 00:21:28,080 --> 00:21:30,240 Speaker 4: have examples like that all over the country, and every 472 00:21:30,280 --> 00:21:33,040 Speaker 4: one of the different kinds of investments that are being made. 473 00:21:33,160 --> 00:21:35,400 Speaker 4: Everybody now knows, by the way, how beautiful it looks 474 00:21:35,400 --> 00:21:37,639 Speaker 4: to have a great airport. Laguadia is just throwing it, 475 00:21:37,840 --> 00:21:40,000 Speaker 4: knocking it out the park. That is what the future 476 00:21:40,000 --> 00:21:43,000 Speaker 4: looks like for aviation in America, and we're investing in 477 00:21:43,040 --> 00:21:44,280 Speaker 4: airports all over the country. 478 00:21:44,520 --> 00:21:47,920 Speaker 1: What does this mean for me when I take my assella? 479 00:21:48,080 --> 00:21:49,560 Speaker 1: Will my ascella be faster? 480 00:21:50,040 --> 00:21:50,159 Speaker 2: Like? 481 00:21:50,520 --> 00:21:51,720 Speaker 3: How will this affect me? 482 00:21:51,920 --> 00:21:54,400 Speaker 4: It's an excellent question. And how it affects me? That's 483 00:21:54,400 --> 00:21:56,960 Speaker 4: pretty much what American citizens ask about. Well, what's this 484 00:21:57,040 --> 00:21:59,280 Speaker 4: really mean to me? Not macro sets, but in the 485 00:21:59,320 --> 00:22:02,320 Speaker 4: micro sets. Essentially, there are a couple of things going on. 486 00:22:02,359 --> 00:22:04,800 Speaker 4: You know, Amtrak is a big player in the space 487 00:22:04,840 --> 00:22:06,760 Speaker 4: along the Northeast cord Or. They have been given a 488 00:22:06,760 --> 00:22:09,280 Speaker 4: substantial amount of money to do a number of different things. 489 00:22:09,320 --> 00:22:13,199 Speaker 4: One of them is to buy and have manufactured in 490 00:22:13,240 --> 00:22:15,920 Speaker 4: the United States new train sets. Those are the cars 491 00:22:15,920 --> 00:22:18,280 Speaker 4: that everybody rides on with the engine that moves it 492 00:22:18,320 --> 00:22:20,720 Speaker 4: from place to place, and so those are in the 493 00:22:20,760 --> 00:22:23,720 Speaker 4: process of being constructed as we speak. I think that 494 00:22:23,800 --> 00:22:26,720 Speaker 4: we are going to purchase over a thousand new train 495 00:22:26,800 --> 00:22:28,720 Speaker 4: cars that have to be manufactured that are going to 496 00:22:28,720 --> 00:22:31,359 Speaker 4: be much closer to being net zero than the ones 497 00:22:31,359 --> 00:22:34,560 Speaker 4: that we have right Now the second thing that they 498 00:22:34,560 --> 00:22:36,600 Speaker 4: are trying to do is along that a tie Northeast 499 00:22:36,680 --> 00:22:38,800 Speaker 4: cord or they're trying to as best as they can 500 00:22:38,920 --> 00:22:41,680 Speaker 4: find out where they can straighten some of the tracks 501 00:22:41,800 --> 00:22:45,600 Speaker 4: without impeding on people's homes and businesses unnecessarily so that 502 00:22:45,640 --> 00:22:47,960 Speaker 4: the trains can actually go faster, and then the trains 503 00:22:48,000 --> 00:22:50,119 Speaker 4: themselves will do that. On top of that, they are 504 00:22:50,160 --> 00:22:53,719 Speaker 4: going to hopefully retrofit a lot of the stations that 505 00:22:53,920 --> 00:22:57,159 Speaker 4: people have to use to make them handicap accessible. The 506 00:22:57,200 --> 00:22:59,480 Speaker 4: other day out for example, I was in Wilmington, Delaware 507 00:22:59,520 --> 00:23:04,280 Speaker 4: cutting the ribbon on a new trains station reproduction project. 508 00:23:04,400 --> 00:23:06,159 Speaker 4: Where folks used to have to carry their bags up 509 00:23:06,200 --> 00:23:09,240 Speaker 4: and downstairs and folks that had physical challenges couldn't move. 510 00:23:09,240 --> 00:23:11,680 Speaker 4: That's all been you know, fixed, and that's going to 511 00:23:11,720 --> 00:23:14,560 Speaker 4: happen across the Northeast Corrida. So the experience should get safer, 512 00:23:14,600 --> 00:23:16,919 Speaker 4: it should get faster, it should get better, it should 513 00:23:16,920 --> 00:23:19,720 Speaker 4: need more climate friendly on top of that, outside of 514 00:23:19,720 --> 00:23:22,920 Speaker 4: the Northeast Corrida, which I know that you're equally concerned about. 515 00:23:23,440 --> 00:23:26,399 Speaker 4: Equally if you were in the southern part of the 516 00:23:26,480 --> 00:23:28,080 Speaker 4: United States of Baracka, where I'm from. 517 00:23:28,000 --> 00:23:28,960 Speaker 3: I went there once. 518 00:23:29,280 --> 00:23:34,159 Speaker 4: Yeah, that's like not Florida, right, Yeah, exactly Are you 519 00:23:34,160 --> 00:23:35,800 Speaker 4: happen to be on the West coast? Are you happen 520 00:23:35,840 --> 00:23:39,560 Speaker 4: to be someplace in between? There are opportunities to create 521 00:23:39,640 --> 00:23:43,159 Speaker 4: a really high speed rail that is gonna mirror maybe 522 00:23:43,200 --> 00:23:45,639 Speaker 4: what you see in Japan or in China, and there 523 00:23:45,680 --> 00:23:48,000 Speaker 4: are a lot of different proposers across the country that 524 00:23:48,040 --> 00:23:49,720 Speaker 4: we're considering that way as well. 525 00:23:49,840 --> 00:23:52,359 Speaker 1: Could that actually happen? I mean, is that a real 526 00:23:52,520 --> 00:23:53,760 Speaker 1: thing that could actually happen. 527 00:23:54,080 --> 00:23:56,200 Speaker 4: It can happen from New York to Los Angeles. It 528 00:23:56,280 --> 00:23:59,520 Speaker 4: can happen from Vegas to Los Angeles. It can happen 529 00:23:59,520 --> 00:24:01,720 Speaker 4: from Sanford, just go to Los Angeles. It can happen, 530 00:24:01,920 --> 00:24:05,679 Speaker 4: for example, maybe one day between Georgia and North Carolina. 531 00:24:05,880 --> 00:24:07,920 Speaker 4: You know, I think you have regional things that look 532 00:24:08,000 --> 00:24:09,879 Speaker 4: like that. It just depends on, at the end of 533 00:24:09,920 --> 00:24:11,640 Speaker 4: the day, how much you want to invest to get 534 00:24:11,720 --> 00:24:13,240 Speaker 4: us from here to that. But I don't think there's 535 00:24:13,240 --> 00:24:16,040 Speaker 4: any doubt. So I'm from New Orleans, we don't really 536 00:24:16,080 --> 00:24:18,520 Speaker 4: have high speed rail, and we don't We've got some 537 00:24:18,680 --> 00:24:20,560 Speaker 4: am track, but not the way that you guys in 538 00:24:20,600 --> 00:24:22,960 Speaker 4: the Northeast live on this and it just turns out 539 00:24:23,000 --> 00:24:25,920 Speaker 4: that I think eight hundred thousand folks travel every day 540 00:24:26,119 --> 00:24:28,840 Speaker 4: on the Northeast Corridor and you wouldn't even think about 541 00:24:28,920 --> 00:24:32,399 Speaker 4: necessarily taking a car or taking a plane. The President's like, look, 542 00:24:32,480 --> 00:24:35,480 Speaker 4: we got to make this faster, better and easier for everybody, 543 00:24:35,480 --> 00:24:37,160 Speaker 4: which is what the goal is. So for the first 544 00:24:37,200 --> 00:24:40,080 Speaker 4: time really in the last fifty sixty years, the President 545 00:24:40,080 --> 00:24:42,080 Speaker 4: was able to get this money in place. We're trying 546 00:24:42,080 --> 00:24:43,879 Speaker 4: to get it down to the ground, which the President 547 00:24:43,960 --> 00:24:47,080 Speaker 4: announce the other day. Biggest announcement on the on the 548 00:24:47,119 --> 00:24:49,280 Speaker 4: whole thing was for the Hudson Tunnel to eleven billion 549 00:24:49,320 --> 00:24:52,720 Speaker 4: dollars a piece of change to fix the old tunnel 550 00:24:52,760 --> 00:24:54,359 Speaker 4: and to build a new one, and then to fix 551 00:24:54,400 --> 00:24:56,639 Speaker 4: all the gateway projects that everybody up there has been 552 00:24:56,680 --> 00:24:59,080 Speaker 4: arguing about forever. So the President finally brought you know, 553 00:24:59,160 --> 00:25:01,400 Speaker 4: New York and New Jersey together. The governors were there 554 00:25:01,640 --> 00:25:04,920 Speaker 4: the other day, the majority of Leader and Senator Gillibrand 555 00:25:04,960 --> 00:25:07,680 Speaker 4: were there, all of the secretaries for DOT and everybody's 556 00:25:07,920 --> 00:25:10,879 Speaker 4: as I like to say, gihunt and working together. And 557 00:25:10,920 --> 00:25:13,000 Speaker 4: this is going to be a real deal thing going 558 00:25:13,080 --> 00:25:14,880 Speaker 4: forward in your Life's hopefully going to be a little 559 00:25:14,880 --> 00:25:16,919 Speaker 4: bit safer, fast, easier, and cheaper. 560 00:25:17,080 --> 00:25:19,800 Speaker 3: That's a good So talk to me about the lead pipes, 561 00:25:19,840 --> 00:25:22,840 Speaker 3: because you guys are dealing with the drinking water situation 562 00:25:23,000 --> 00:25:23,800 Speaker 3: too well. 563 00:25:23,840 --> 00:25:26,040 Speaker 4: The other thing, too, is the President and the Vice 564 00:25:26,080 --> 00:25:29,639 Speaker 4: President are adamant that everybody in America are to have 565 00:25:29,720 --> 00:25:32,359 Speaker 4: clean and safe air and water. And quite frankly, of 566 00:25:32,400 --> 00:25:34,200 Speaker 4: all the projects in this bill, the three hundred and 567 00:25:34,200 --> 00:25:35,800 Speaker 4: seventy five of them, and as I told you, they 568 00:25:35,800 --> 00:25:38,440 Speaker 4: criss crossed the country. I've actually, by the way, traveled 569 00:25:38,480 --> 00:25:41,160 Speaker 4: to one hundred and thirty one cities, towns, and counties 570 00:25:41,200 --> 00:25:43,600 Speaker 4: and tribal communities and traveled over one hundred and ten 571 00:25:43,640 --> 00:25:45,520 Speaker 4: thousand miles. I've talked to a lot of folks about 572 00:25:45,560 --> 00:25:47,480 Speaker 4: a lot of things. I have to say that the 573 00:25:47,560 --> 00:25:50,800 Speaker 4: clean air and clean water pieces of this are so 574 00:25:51,520 --> 00:25:54,880 Speaker 4: basic that people just can't believe that in the United 575 00:25:54,920 --> 00:25:57,120 Speaker 4: States of America we're not there yet. And so there 576 00:25:57,119 --> 00:25:59,440 Speaker 4: are happened to be some places in America two million 577 00:25:59,440 --> 00:26:02,040 Speaker 4: people don't have into a plumbing. I know this sounds 578 00:26:02,160 --> 00:26:04,159 Speaker 4: kind of amazing, but that is in fact true. So 579 00:26:04,480 --> 00:26:07,000 Speaker 4: you know, I've been down to Lowndes County in Alabama 580 00:26:07,160 --> 00:26:09,080 Speaker 4: and working on projects like that. I've been as far 581 00:26:09,200 --> 00:26:11,840 Speaker 4: north as in the Pokiok, Alaska, which is like, way 582 00:26:11,840 --> 00:26:15,160 Speaker 4: the hell up there? All right, prob committed me. That's 583 00:26:15,160 --> 00:26:16,399 Speaker 4: the best way I can describe it. 584 00:26:16,560 --> 00:26:18,080 Speaker 3: How do you even get there? 585 00:26:18,160 --> 00:26:19,639 Speaker 4: By the way my boat? 586 00:26:20,040 --> 00:26:20,640 Speaker 3: Oh wow? 587 00:26:21,000 --> 00:26:23,480 Speaker 4: Oh it's insane. I mean, you fly and then when 588 00:26:23,520 --> 00:26:25,360 Speaker 4: you get in anchorage, You're like, okay, well I got 589 00:26:25,359 --> 00:26:26,640 Speaker 4: to get up there. And they're like, well, let's put 590 00:26:26,640 --> 00:26:28,879 Speaker 4: you in a little bitty plane. And then the plane 591 00:26:28,920 --> 00:26:30,959 Speaker 4: lands on a dirt runway and then I'm like, we're 592 00:26:31,000 --> 00:26:32,359 Speaker 4: we there yet, and they're like, no, you got to 593 00:26:32,359 --> 00:26:35,040 Speaker 4: get in the boat. And I'm like, oh man. 594 00:26:35,400 --> 00:26:37,879 Speaker 3: And it's cold when you get up there, right. 595 00:26:37,720 --> 00:26:39,920 Speaker 4: Well, it wasn't. I went. I went when it wasn't cold, 596 00:26:39,960 --> 00:26:43,000 Speaker 4: because I'm smart. But it was wonderful and wet. We 597 00:26:43,040 --> 00:26:45,800 Speaker 4: met the tribal community up there. And of course, the 598 00:26:45,880 --> 00:26:48,280 Speaker 4: point here is that nobody is too far away for 599 00:26:48,359 --> 00:26:51,080 Speaker 4: the president, whether it's in the Black Belt or whether 600 00:26:51,119 --> 00:26:53,760 Speaker 4: it's down in the Delta, or whether it's in a 601 00:26:53,840 --> 00:26:56,560 Speaker 4: tribal community in northern Alaska, which by the way, you 602 00:26:56,600 --> 00:26:58,800 Speaker 4: can actually see Russia from. That's true. 603 00:26:58,840 --> 00:27:02,240 Speaker 1: Actually I feel like if you're stealing somebody else's stick here, 604 00:27:02,440 --> 00:27:03,320 Speaker 1: I'm just saying. 605 00:27:03,680 --> 00:27:05,480 Speaker 4: When I was there, I felt bad because I thought 606 00:27:05,480 --> 00:27:07,239 Speaker 4: that was a joke. But it actually turns out the 607 00:27:07,440 --> 00:27:11,000 Speaker 4: big clothes. So in any of that, the ability to 608 00:27:11,040 --> 00:27:15,440 Speaker 4: get clean air and clean water to people is critically important. 609 00:27:15,440 --> 00:27:17,719 Speaker 4: Now we know about this a lot in the country 610 00:27:17,760 --> 00:27:19,960 Speaker 4: because of what happened in Flint, Michigan, which by the way, 611 00:27:20,160 --> 00:27:23,440 Speaker 4: they're all new piping in Flint, Mishigan. That project is lead. 612 00:27:23,480 --> 00:27:26,040 Speaker 4: Thank god. It took way too long, but the President 613 00:27:26,080 --> 00:27:28,360 Speaker 4: the Vice President were able to put in this bill 614 00:27:28,400 --> 00:27:31,760 Speaker 4: fifteen billion dollars to help eradicate all the lead pipes 615 00:27:31,760 --> 00:27:34,040 Speaker 4: in America and I and we're well on the way, 616 00:27:34,440 --> 00:27:36,879 Speaker 4: working with cities and states to get this done. We 617 00:27:36,920 --> 00:27:40,720 Speaker 4: have twelve hundred drinking and wastewater projects, including funding to 618 00:27:40,760 --> 00:27:43,560 Speaker 4: replace hundreds of thousands of lead service lines. So we're 619 00:27:43,560 --> 00:27:45,840 Speaker 4: on track. But again, this is a hard thing, and 620 00:27:45,880 --> 00:27:47,840 Speaker 4: by the way, it's done by cities and counties. Federal 621 00:27:47,880 --> 00:27:50,080 Speaker 4: government's not doing this work. This money gets pushed down 622 00:27:50,080 --> 00:27:51,760 Speaker 4: to the states, it gets pushed down to the mayor's 623 00:27:51,880 --> 00:27:53,239 Speaker 4: and they have to do the work. And they're in 624 00:27:53,240 --> 00:27:55,200 Speaker 4: the process of doing it as we speak. 625 00:27:55,560 --> 00:27:59,280 Speaker 3: So interesting, Yeah, crazy, it's a lot of work. Let's 626 00:27:59,280 --> 00:28:00,159 Speaker 3: go to broadbands and. 627 00:28:00,400 --> 00:28:02,680 Speaker 4: When you live through COVID, if you didn't understand it before, 628 00:28:02,680 --> 00:28:05,439 Speaker 4: you understand it now that nothing happened. And if you 629 00:28:05,520 --> 00:28:08,440 Speaker 4: don't have access to knowledge, and the access to knowledge 630 00:28:08,600 --> 00:28:11,280 Speaker 4: is through Internet. And the President made a commitment to 631 00:28:11,320 --> 00:28:14,679 Speaker 4: make sure that everybody in America is stressing everybody is 632 00:28:14,720 --> 00:28:16,680 Speaker 4: going to have access to it. And so that two 633 00:28:16,720 --> 00:28:19,280 Speaker 4: things going on here. One of them is making sure 634 00:28:19,280 --> 00:28:22,840 Speaker 4: that we lay fiber optic cable everywhere in America where 635 00:28:22,840 --> 00:28:26,639 Speaker 4: it is not or some other kind of technology that 636 00:28:27,200 --> 00:28:30,720 Speaker 4: is absolutely necessary, for example at a far away place 637 00:28:30,800 --> 00:28:33,000 Speaker 4: like the Pockeyac if you can't get five of there. 638 00:28:33,200 --> 00:28:37,400 Speaker 4: And the second is connecting people who actually have access 639 00:28:37,640 --> 00:28:40,520 Speaker 4: to high speed INNT but can't afford it. So just 640 00:28:40,600 --> 00:28:42,840 Speaker 4: in the past two years, through what they call the 641 00:28:42,880 --> 00:28:46,680 Speaker 4: Affordable Connectivity Program, which you can find that get Internet 642 00:28:46,840 --> 00:28:50,320 Speaker 4: dot go. If you're living at our below two hundred 643 00:28:50,320 --> 00:28:52,640 Speaker 4: percent of the poverty level, you actually can get free 644 00:28:52,680 --> 00:28:54,680 Speaker 4: internet for one hundred bag of bytes per second. And 645 00:28:54,720 --> 00:28:58,000 Speaker 4: we're signed up twenty one million Americans for this project 646 00:28:58,160 --> 00:29:00,280 Speaker 4: is called Internet for all, and we're going to keep 647 00:29:00,320 --> 00:29:02,280 Speaker 4: doing that, and we're going to keep laying fiber op 648 00:29:02,320 --> 00:29:05,040 Speaker 4: to kid. Now, every governor in the state has already 649 00:29:05,040 --> 00:29:08,880 Speaker 4: received what they know is their allocation the federal money 650 00:29:08,880 --> 00:29:11,600 Speaker 4: they're going to get to actually start putting fiber in 651 00:29:11,720 --> 00:29:13,959 Speaker 4: the ground. And you can see that on our website 652 00:29:14,160 --> 00:29:17,080 Speaker 4: invest dot Go as well. And by the way, every 653 00:29:17,080 --> 00:29:20,160 Speaker 4: project in America is on that website. If you want 654 00:29:20,160 --> 00:29:21,840 Speaker 4: to find out what a project is, go on there's 655 00:29:21,880 --> 00:29:23,400 Speaker 4: a map. It's got a bunch of dots on it. 656 00:29:23,400 --> 00:29:25,440 Speaker 4: It looks like a serot painting. You can just push 657 00:29:25,480 --> 00:29:27,600 Speaker 4: the dot and the project will come up and you 658 00:29:27,600 --> 00:29:29,400 Speaker 4: can tell how much it is, where it is. And 659 00:29:29,440 --> 00:29:32,520 Speaker 4: we did that for transparency for the taxpayers of America. 660 00:29:32,720 --> 00:29:34,720 Speaker 4: You know, the governors are in their process of submitting 661 00:29:34,720 --> 00:29:36,520 Speaker 4: their plans to us about where they're going to lay it. 662 00:29:36,520 --> 00:29:38,360 Speaker 4: We're going to say, yes, they're going to get to work. 663 00:29:38,400 --> 00:29:40,320 Speaker 4: But there's already been billions of dollars that have been 664 00:29:40,320 --> 00:29:43,280 Speaker 4: sent to the states through the Department of Agriculture and 665 00:29:43,320 --> 00:29:45,760 Speaker 4: the Department of Treasury to start a lot of this work. 666 00:29:45,800 --> 00:29:48,080 Speaker 4: And as I said just today, like ten minutes ago, 667 00:29:48,120 --> 00:29:49,640 Speaker 4: I just got off of a press call with Seid 668 00:29:49,680 --> 00:29:51,959 Speaker 4: of the Schumer about a company in Syracuse. It's going 669 00:29:52,000 --> 00:29:54,840 Speaker 4: to manufacture the stuff that you need to put to 670 00:29:54,920 --> 00:29:56,480 Speaker 4: build fiber so you can put it in the ground. 671 00:29:56,520 --> 00:29:58,920 Speaker 4: It's going to create a five hundred plus job, which 672 00:29:58,960 --> 00:30:00,280 Speaker 4: was one of the points of all all of this 673 00:30:00,320 --> 00:30:02,720 Speaker 4: stuff anyway, not just to give people better roads and 674 00:30:02,760 --> 00:30:05,040 Speaker 4: bridges and airports and ports, which are all critical, but 675 00:30:05,120 --> 00:30:07,000 Speaker 4: to build them in a way that created lots of 676 00:30:07,080 --> 00:30:09,600 Speaker 4: high pay of jobs so people could build generation well, 677 00:30:09,880 --> 00:30:11,880 Speaker 4: have some dignity in their life. And by the way, 678 00:30:12,040 --> 00:30:13,680 Speaker 4: use products that have made in America so we can 679 00:30:13,760 --> 00:30:16,840 Speaker 4: rebuild communities that have gotten burnt out from offshore. That 680 00:30:17,000 --> 00:30:19,280 Speaker 4: was President Biden's vision. And the truth of the matter 681 00:30:19,400 --> 00:30:21,360 Speaker 4: is he's bringing receipts. There have been lots of people 682 00:30:21,440 --> 00:30:23,360 Speaker 4: that have been in both public office, some of them 683 00:30:23,360 --> 00:30:25,040 Speaker 4: that sat in the White House that said they did 684 00:30:25,080 --> 00:30:27,080 Speaker 4: things that they didn't do, took credit for stuff that 685 00:30:27,080 --> 00:30:30,640 Speaker 4: they and this president can bring you receipts in chapter 686 00:30:30,720 --> 00:30:33,560 Speaker 4: and verse and instead of just talking about an infrastructure week, 687 00:30:33,680 --> 00:30:37,160 Speaker 4: we're actually in the midst of a massive rebuilding that's 688 00:30:37,200 --> 00:30:38,880 Speaker 4: going to be an infrastructure decade. 689 00:30:39,200 --> 00:30:42,960 Speaker 1: Tell me what project. Are you the sort of most 690 00:30:43,440 --> 00:30:46,640 Speaker 1: excited about or what is a project that we don't. 691 00:30:46,440 --> 00:30:48,160 Speaker 3: Know about that we should know about. 692 00:30:48,480 --> 00:30:50,480 Speaker 4: Well, first of all, I wouldn't be doing my job 693 00:30:50,520 --> 00:30:53,640 Speaker 4: if you didn't know about it. But the big cathedral projects. 694 00:30:53,840 --> 00:30:57,000 Speaker 4: The bread Spence Bridge is a massive bridge that connects 695 00:30:57,240 --> 00:31:00,440 Speaker 4: Ohio and Kentucky to Red States by the way, that 696 00:31:00,720 --> 00:31:04,400 Speaker 4: carries about three percent of the nation's gross domestic product 697 00:31:04,440 --> 00:31:07,600 Speaker 4: on any given day, moving goods from ships to shelves. 698 00:31:07,800 --> 00:31:10,520 Speaker 4: That project is a really big project that is pretty 699 00:31:11,160 --> 00:31:13,760 Speaker 4: symbolic of what the whole thing is we're doing. I 700 00:31:13,760 --> 00:31:16,120 Speaker 4: don't need to tell you about the symbolism of a bridge, 701 00:31:16,200 --> 00:31:18,960 Speaker 4: but it actually connects people and then it spiritually connects 702 00:31:19,000 --> 00:31:22,040 Speaker 4: people as well. We've put a billion dollars into the 703 00:31:22,080 --> 00:31:24,920 Speaker 4: restoration of the Great Lakes, So if you live anywhere 704 00:31:24,920 --> 00:31:27,240 Speaker 4: in or around that, you understand the significance of that 705 00:31:27,280 --> 00:31:30,600 Speaker 4: a billion dollars into the Everglades. The biggest project really 706 00:31:30,680 --> 00:31:32,800 Speaker 4: is one in New York in the Hudson Tunnel. That's 707 00:31:32,800 --> 00:31:34,720 Speaker 4: the big one. That's the one that is going to 708 00:31:34,760 --> 00:31:37,640 Speaker 4: touch more people than any singular project in the country. 709 00:31:37,680 --> 00:31:40,000 Speaker 4: We're rebuilding the Frederick Douglass bridge. So if you're coming 710 00:31:40,040 --> 00:31:41,760 Speaker 4: from New York into Washington, d C. And you know 711 00:31:41,800 --> 00:31:44,000 Speaker 4: you kind of heading towards Baltimore, that train slows down 712 00:31:44,000 --> 00:31:45,000 Speaker 4: to thirty miles an hour. 713 00:31:45,160 --> 00:31:47,440 Speaker 3: Yes, I have some experience with that. 714 00:31:47,720 --> 00:31:49,320 Speaker 4: Well, here you go. Here's how it's going to improve 715 00:31:49,400 --> 00:31:50,840 Speaker 4: your life. You're going to have to do your homework 716 00:31:50,920 --> 00:31:53,440 Speaker 4: faster because that's trying to go one hundred and ten 717 00:31:53,480 --> 00:31:56,960 Speaker 4: miles an hour, not thirty around that turn turn running 718 00:31:56,960 --> 00:31:58,560 Speaker 4: into that. But then, and let me just say this, 719 00:31:58,880 --> 00:32:02,240 Speaker 4: those are big, big, big. There are some small projects 720 00:32:02,280 --> 00:32:04,600 Speaker 4: that are exciting, like making sure that we get into 721 00:32:04,640 --> 00:32:08,720 Speaker 4: a plumbing two folks in Lowndes County, Alabama, or you 722 00:32:09,080 --> 00:32:11,520 Speaker 4: meet somebody like Diana Branch and are two kids eight 723 00:32:11,760 --> 00:32:14,000 Speaker 4: in Jada in Milwaukee that make sure they've got to 724 00:32:14,040 --> 00:32:16,840 Speaker 4: have clean water and you see their faces. Are the 725 00:32:16,880 --> 00:32:19,480 Speaker 4: guy named Walter who was a tribal leader up into 726 00:32:19,520 --> 00:32:22,840 Speaker 4: Pockiac who we met. Or a guy named Slim if 727 00:32:22,840 --> 00:32:25,600 Speaker 4: you can believe this, who is the mayor of a 728 00:32:25,640 --> 00:32:28,480 Speaker 4: small town in New Mexico called Hatch, which by the way, 729 00:32:28,520 --> 00:32:30,560 Speaker 4: has the best chili in the world, who really is 730 00:32:30,600 --> 00:32:33,760 Speaker 4: concerned because it's flooding too much. To me, those are 731 00:32:33,800 --> 00:32:36,200 Speaker 4: the things because that President Biden said, look, we got 732 00:32:36,240 --> 00:32:38,760 Speaker 4: to see everybody. This is really easy, you guys. If 733 00:32:38,760 --> 00:32:40,920 Speaker 4: we can do things together, we can do big things. 734 00:32:40,920 --> 00:32:43,560 Speaker 4: If we can't do big things together, we can't do anything. 735 00:32:43,600 --> 00:32:46,480 Speaker 4: And oh, by the way, don't leave anybody behind. So Mitch, 736 00:32:46,520 --> 00:32:49,040 Speaker 4: get your butt out there and go find these people 737 00:32:49,320 --> 00:32:51,440 Speaker 4: and talk to them and make sure that they're involved 738 00:32:51,440 --> 00:32:52,840 Speaker 4: in the work that we do on And for me, 739 00:32:53,240 --> 00:32:56,560 Speaker 4: that's been the most uplifting part of this entire process. 740 00:32:56,760 --> 00:32:59,480 Speaker 1: What do things look like now from this point on, 741 00:32:59,840 --> 00:33:02,440 Speaker 1: is just watching these things get finished? 742 00:33:02,640 --> 00:33:04,560 Speaker 4: No, no, no, no. You got to first of all, 743 00:33:04,760 --> 00:33:07,680 Speaker 4: remember when we started, I said, we haven't done something 744 00:33:07,680 --> 00:33:10,040 Speaker 4: this big in a long long time. And so from 745 00:33:10,040 --> 00:33:12,840 Speaker 4: my perspective as a mayor, which is a more of 746 00:33:12,880 --> 00:33:14,480 Speaker 4: a not what you want to do, but how to 747 00:33:14,520 --> 00:33:16,840 Speaker 4: do stuff job kind of where the pedal hits the 748 00:33:16,840 --> 00:33:18,280 Speaker 4: metal or the rubber wrists the road. You got to 749 00:33:18,320 --> 00:33:20,600 Speaker 4: get stuff done. You have to set up what I 750 00:33:20,680 --> 00:33:23,440 Speaker 4: call a mouse trap or scaffolding. You got to make 751 00:33:23,480 --> 00:33:26,479 Speaker 4: sure the federal government and all the cabinet secretaries are 752 00:33:26,480 --> 00:33:28,680 Speaker 4: working together. You got to make sure they're working every 753 00:33:28,760 --> 00:33:31,400 Speaker 4: day with the governors. The governor's cabinets have to be 754 00:33:31,440 --> 00:33:33,520 Speaker 4: working together. You've got to be working with the mayor's 755 00:33:33,560 --> 00:33:36,000 Speaker 4: you got to be working the community leaders. That takes 756 00:33:36,040 --> 00:33:37,680 Speaker 4: a lot of work. If you ever raise a lot 757 00:33:37,680 --> 00:33:40,360 Speaker 4: of kids, you kind of understand what I'm saying here 758 00:33:40,560 --> 00:33:42,720 Speaker 4: where you got to get everybody dressed at the same time, 759 00:33:42,760 --> 00:33:45,400 Speaker 4: because I got five kids and I had four of 760 00:33:45,400 --> 00:33:47,480 Speaker 4: them in different schools, and you got to know what 761 00:33:47,600 --> 00:33:49,480 Speaker 4: you're on, on what you're doing, or you lose a kid 762 00:33:49,920 --> 00:33:52,120 Speaker 4: like in the parking lot, that's not a good thing. 763 00:33:52,440 --> 00:33:54,160 Speaker 3: Yes, I have some experience with this. 764 00:33:54,360 --> 00:33:57,040 Speaker 4: So in other words, if you can think about how 765 00:33:57,040 --> 00:33:58,719 Speaker 4: to herd cats, you have to do that every day, 766 00:33:58,760 --> 00:34:00,360 Speaker 4: all day to make sure one of the kids running 767 00:34:00,400 --> 00:34:02,920 Speaker 4: the street all right. So you can put some technical 768 00:34:03,000 --> 00:34:05,280 Speaker 4: language around all of that, but it's about what I 769 00:34:05,360 --> 00:34:10,080 Speaker 4: call horizontal and vertical integration across federal, state, and local authorities, 770 00:34:10,200 --> 00:34:13,759 Speaker 4: both horizonally and vertically. And that is the team of 771 00:34:13,920 --> 00:34:16,160 Speaker 4: people that have to get stuffed doune of it. They're 772 00:34:16,200 --> 00:34:21,000 Speaker 4: not communicating, collaborating, coordinating every day, then you're not. Nothing's happened. 773 00:34:21,040 --> 00:34:23,200 Speaker 4: So that's important we do that every day. It's like 774 00:34:23,280 --> 00:34:26,080 Speaker 4: running drills, running stadium steps. We work on that. The 775 00:34:26,160 --> 00:34:29,040 Speaker 4: second part is, okay, well, if that team's ready to go, 776 00:34:29,080 --> 00:34:30,520 Speaker 4: they got they can't do anything and they don't have 777 00:34:30,560 --> 00:34:32,000 Speaker 4: the money. So you got to get the money out 778 00:34:32,000 --> 00:34:33,759 Speaker 4: the door. And in order to do this in a 779 00:34:33,800 --> 00:34:36,520 Speaker 4: transparent way where we do these projects on time and 780 00:34:36,560 --> 00:34:39,000 Speaker 4: on task, on budget, with no wayte fraud and abuse, 781 00:34:39,160 --> 00:34:41,640 Speaker 4: you've got to make sure that the applications are good, 782 00:34:41,840 --> 00:34:43,719 Speaker 4: that they're smart, that if you give these folks money, 783 00:34:43,760 --> 00:34:45,239 Speaker 4: they'll actually be able to make it happen. Then you've 784 00:34:45,239 --> 00:34:46,640 Speaker 4: got to get the money to them, and the money 785 00:34:46,640 --> 00:34:48,560 Speaker 4: gets them in two ways. Some of the money goes 786 00:34:48,560 --> 00:34:50,560 Speaker 4: straight to the governors, and then some of the money 787 00:34:50,600 --> 00:34:52,920 Speaker 4: you have to apply for that goes to the mayors 788 00:34:52,920 --> 00:34:54,520 Speaker 4: and the county executives. So you got to run that 789 00:34:54,560 --> 00:34:56,520 Speaker 4: whole process. And then the third thing you got to 790 00:34:56,560 --> 00:34:57,920 Speaker 4: do is what you and I had done today, which 791 00:34:57,960 --> 00:34:59,920 Speaker 4: is telling people about it so they know it's coming. 792 00:35:00,080 --> 00:35:02,160 Speaker 4: They can kind of check on how we're doing. Pick 793 00:35:02,239 --> 00:35:03,520 Speaker 4: us in the butt when we're not doing it the 794 00:35:03,560 --> 00:35:05,960 Speaker 4: right way, demand that we go faster, and then when 795 00:35:05,960 --> 00:35:07,680 Speaker 4: it looks good, say, oh my god, I love that. 796 00:35:07,719 --> 00:35:09,879 Speaker 4: Can we have more of it, and so that's it, 797 00:35:10,040 --> 00:35:12,839 Speaker 4: and so that requires nurturing every day. I do think 798 00:35:12,880 --> 00:35:15,319 Speaker 4: that we are organizationally in a much better place. The 799 00:35:15,360 --> 00:35:17,600 Speaker 4: country's going to be learning now how to build big 800 00:35:17,640 --> 00:35:20,120 Speaker 4: things again. We have to prove its people because nobody 801 00:35:20,120 --> 00:35:22,160 Speaker 4: believed that we can do it. And I'm just really 802 00:35:22,200 --> 00:35:24,720 Speaker 4: hopeful that as we go forward in the country. Remember 803 00:35:25,000 --> 00:35:26,919 Speaker 4: we only end this two years. It takes a long 804 00:35:27,000 --> 00:35:30,360 Speaker 4: time to build a strong foundation that can't ever be reversed, 805 00:35:30,400 --> 00:35:32,239 Speaker 4: and so we're in the early stages of that and 806 00:35:32,280 --> 00:35:34,000 Speaker 4: a lot more work to do, and we're at the 807 00:35:34,040 --> 00:35:36,600 Speaker 4: point where as my grandma would say, she would say, 808 00:35:36,600 --> 00:35:38,680 Speaker 4: it needs a lot of elbow grease. You gotta work it. 809 00:35:38,800 --> 00:35:41,080 Speaker 4: I call it the hard work of governing well and 810 00:35:41,200 --> 00:35:43,839 Speaker 4: demanding that people get off of their high horse and 811 00:35:43,960 --> 00:35:46,600 Speaker 4: quit arguing about extremes and get focused on the thing 812 00:35:46,640 --> 00:35:48,880 Speaker 4: that we all care about, which is a road, filling 813 00:35:48,920 --> 00:35:51,319 Speaker 4: the damn pothole, getting home as fast as we can 814 00:35:51,360 --> 00:35:53,160 Speaker 4: so we can do homework with our kids, to do 815 00:35:53,200 --> 00:35:54,920 Speaker 4: the things that people need to do in a way 816 00:35:54,920 --> 00:35:56,880 Speaker 4: that makes our lives easier. And that's what the presidents 817 00:35:56,920 --> 00:35:58,000 Speaker 4: wanted to do from the beginning. 818 00:35:58,239 --> 00:36:00,479 Speaker 3: Mitch Landrew, thank you, thank thank you. 819 00:36:00,920 --> 00:36:03,520 Speaker 4: We thank you for everything. I appreciate it. You take care, 820 00:36:03,840 --> 00:36:04,239 Speaker 4: you two. 821 00:36:06,600 --> 00:36:12,560 Speaker 1: Danielle Nickinyon is editor in chief and founder of Bolts magazine. 822 00:36:13,160 --> 00:36:17,359 Speaker 3: Welcome, Too Fast Politics. Daniel Thank you so much. You 823 00:36:17,360 --> 00:36:18,000 Speaker 3: are here. 824 00:36:18,200 --> 00:36:21,759 Speaker 1: Because you are the editor of this very good magazine 825 00:36:21,840 --> 00:36:26,200 Speaker 1: called Bolts. It does local elections, but on a micro level. 826 00:36:26,400 --> 00:36:27,000 Speaker 3: Is that fair? 827 00:36:27,239 --> 00:36:30,000 Speaker 6: Yeah? I think the goal is to connect these local 828 00:36:30,080 --> 00:36:34,040 Speaker 6: indued elections with all the issues that readers' voters would 829 00:36:34,040 --> 00:36:37,160 Speaker 6: care about and would look at Washington Floor usually, but 830 00:36:37,239 --> 00:36:39,799 Speaker 6: in fact it's also happening, you know, at the county level, 831 00:36:39,840 --> 00:36:40,959 Speaker 6: at the municipal level. 832 00:36:41,280 --> 00:36:41,880 Speaker 3: Yeah. 833 00:36:41,920 --> 00:36:44,680 Speaker 1: And this is something I'm very interested in, and we 834 00:36:44,680 --> 00:36:47,680 Speaker 1: should all be interested in what's happening on the local 835 00:36:47,760 --> 00:36:53,160 Speaker 1: level because ultimately it has enormous national implications, as we've 836 00:36:53,160 --> 00:36:55,719 Speaker 1: seen again and again. So I want to talk to 837 00:36:55,719 --> 00:36:58,640 Speaker 1: you first. We're going to talk about an election that 838 00:36:58,840 --> 00:36:59,920 Speaker 1: no one has heard about. 839 00:37:00,160 --> 00:37:03,200 Speaker 3: To accept you and people who live in Pennsylvania, the 840 00:37:03,400 --> 00:37:08,640 Speaker 3: Pennsylvania judiciary elections, because there were three judges elected in Pennsylvania. 841 00:37:08,719 --> 00:37:11,200 Speaker 3: Tell us a backstory. Explain to us the situation. 842 00:37:11,719 --> 00:37:15,239 Speaker 5: Right, So, Pennsylvania was the only state last week that 843 00:37:15,360 --> 00:37:17,759 Speaker 5: was holding elections for its for its court system. You know, 844 00:37:17,800 --> 00:37:20,800 Speaker 5: in a lot of the country judges are elected, not everywhere, 845 00:37:20,800 --> 00:37:25,320 Speaker 5: but in most places. Obviously, Pennsylvania really is the swing 846 00:37:25,400 --> 00:37:27,880 Speaker 5: state I think, I would say for twenty twenty four 847 00:37:28,000 --> 00:37:30,120 Speaker 5: to watch. You know, it really is so important for 848 00:37:30,480 --> 00:37:32,800 Speaker 5: deciding the presidential race. 849 00:37:33,200 --> 00:37:34,040 Speaker 3: You really think that. 850 00:37:34,280 --> 00:37:37,080 Speaker 1: I feel like Pennsylvania is sort of like largely blue 851 00:37:37,160 --> 00:37:37,799 Speaker 1: at this point. 852 00:37:38,000 --> 00:37:40,200 Speaker 5: I mean, I think it is such a huge part 853 00:37:40,239 --> 00:37:43,480 Speaker 5: of the blue wall that if Democrats exactly Democrats kind 854 00:37:43,480 --> 00:37:47,040 Speaker 5: of secure Pennsylvania, they don't need that much more or 855 00:37:47,080 --> 00:37:50,840 Speaker 5: all of the other states Georgia, Arizona, and Nevada, Wisconsin ate, 856 00:37:50,880 --> 00:37:53,520 Speaker 5: they only at that point really need one perhaps, which 857 00:37:53,560 --> 00:37:56,480 Speaker 5: which is a big, big style. But Pennsylvania really is essential, 858 00:37:56,840 --> 00:37:59,480 Speaker 5: and I think Mali very importantly. It is the state 859 00:37:59,520 --> 00:38:02,200 Speaker 5: in twenty two that Trump kept trying to go after 860 00:38:02,640 --> 00:38:05,040 Speaker 5: in the court system. You know, he kept filing all 861 00:38:05,040 --> 00:38:08,160 Speaker 5: these lawsuits in Pennsylvania. Obviously did it everywhere, but Pennsylvania 862 00:38:08,280 --> 00:38:11,200 Speaker 5: was arguably the state that sought the most lawsuits, and 863 00:38:11,239 --> 00:38:13,520 Speaker 5: a lot of these lawsuits went to die in the 864 00:38:13,560 --> 00:38:17,239 Speaker 5: state Supreme Court. In November December twenty twenty and what 865 00:38:17,280 --> 00:38:20,120 Speaker 5: one of the seats was empty on This was vacant 866 00:38:20,120 --> 00:38:23,240 Speaker 5: because a Democrat had passed away last year, and that's 867 00:38:23,360 --> 00:38:26,439 Speaker 5: the seat that voters in Pennsylvania were going to sail. 868 00:38:26,719 --> 00:38:29,440 Speaker 5: So Democrats were sure to keep the majority. On the 869 00:38:29,440 --> 00:38:31,000 Speaker 5: corporate matter of the result, it was in me five 870 00:38:31,080 --> 00:38:33,680 Speaker 5: two or four to three. But there have been instances 871 00:38:33,719 --> 00:38:36,080 Speaker 5: on this court that things don't exactly go according to 872 00:38:36,120 --> 00:38:39,640 Speaker 5: party line, and especially when it comes to mail voting. 873 00:38:40,040 --> 00:38:42,960 Speaker 5: There's been so many cases in recent years in Pennsylvania 874 00:38:43,120 --> 00:38:46,720 Speaker 5: around whether mail ballots should be tossed, should be counted. 875 00:38:46,760 --> 00:38:49,400 Speaker 5: We're talking about an advocate in Pennsylvania told me tens 876 00:38:49,520 --> 00:38:52,280 Speaker 5: or thousands of bad ballots could be affected in twenty 877 00:38:52,320 --> 00:38:56,040 Speaker 5: twenty four depending on the result of this election. So 878 00:38:56,160 --> 00:38:57,960 Speaker 5: all of these have made it very important for just 879 00:38:58,120 --> 00:38:59,840 Speaker 5: voting rights. I'm not even going to go into all 880 00:38:59,880 --> 00:39:05,080 Speaker 5: the other issues that are important. And Democrats won that seat. 881 00:39:05,640 --> 00:39:08,400 Speaker 5: They won all three, right, there were actually four to 882 00:39:08,480 --> 00:39:10,880 Speaker 5: judge SIPs on the ballot, so there was one for 883 00:39:10,960 --> 00:39:14,200 Speaker 5: Supreme Court and then there were three for intermediate courts 884 00:39:14,239 --> 00:39:17,399 Speaker 5: that are right below the Supreme Court. Democrats swept all 885 00:39:17,560 --> 00:39:21,399 Speaker 5: four and they actually flipped what's called the Superior Court 886 00:39:21,400 --> 00:39:24,440 Speaker 5: of Pennsylvania, which is right below the Supreme Court. A 887 00:39:24,520 --> 00:39:26,279 Speaker 5: lot of cases that end up in the Supreme Court 888 00:39:26,360 --> 00:39:28,920 Speaker 5: go through it, so obviously it's very important that that 889 00:39:29,080 --> 00:39:31,000 Speaker 5: cases be be prepped for a side or on the 890 00:39:31,040 --> 00:39:34,479 Speaker 5: other on lower courts. And what's really interesting is that 891 00:39:34,640 --> 00:39:37,719 Speaker 5: it's not at all usual for Democrats to sweep these 892 00:39:37,960 --> 00:39:41,040 Speaker 5: down ballot elections on an off year. In twenty twenty one, 893 00:39:41,400 --> 00:39:45,759 Speaker 5: Republicans that very well in judge elections in Pennsylvania. Those 894 00:39:45,760 --> 00:39:49,720 Speaker 5: are not years where Democrats usually are eager to go vote. 895 00:39:49,760 --> 00:39:52,720 Speaker 5: So this was very yeah election results. 896 00:39:52,719 --> 00:39:53,480 Speaker 3: Do you think that. 897 00:39:53,440 --> 00:39:58,040 Speaker 1: Speaks to a Democratic electorate that is enthusiastic about the voting. 898 00:39:58,280 --> 00:40:01,960 Speaker 5: I mean to look at Pennsylvania specifically, I think definitely, 899 00:40:02,000 --> 00:40:06,759 Speaker 5: because you saw that same pattern County, per County. You 900 00:40:06,880 --> 00:40:10,279 Speaker 5: saw Democrats do very well in Pennsylvania. So they really 901 00:40:10,360 --> 00:40:13,479 Speaker 5: kept control of the suburban areas of Pennsylvania. They even 902 00:40:13,600 --> 00:40:17,400 Speaker 5: flipped the new Republican areas blue, and in place after place, 903 00:40:17,480 --> 00:40:23,000 Speaker 5: there was heavier enthusiasm and turnout in blue areas than 904 00:40:23,000 --> 00:40:25,680 Speaker 5: there was elsewhere. So for instance, and in Philly, the 905 00:40:25,719 --> 00:40:29,680 Speaker 5: electorate was a third higher than twenty twenty one, whereas 906 00:40:30,040 --> 00:40:32,839 Speaker 5: in the state at large only ten percent higher. Now 907 00:40:33,080 --> 00:40:35,319 Speaker 5: that's not going to exactly hold into twenty twenty four, 908 00:40:35,960 --> 00:40:40,440 Speaker 5: but in vacations definitely are that Dobbs, Trump's comeback and 909 00:40:40,520 --> 00:40:43,560 Speaker 5: a bunch of factors have really energized the base of 910 00:40:43,600 --> 00:40:44,319 Speaker 5: Democratic Party. 911 00:40:44,480 --> 00:40:46,840 Speaker 1: The reason why I'm thinking about this is because and 912 00:40:46,840 --> 00:40:49,440 Speaker 1: now we're going to go to Kentucky in this Kentucky 913 00:40:49,760 --> 00:40:53,920 Speaker 1: gubernatorial so there were two off your Googer tutorials. And 914 00:40:54,280 --> 00:40:59,040 Speaker 1: in Mississippi, obviously that was a little bit different circumstances. 915 00:40:59,120 --> 00:41:00,360 Speaker 3: It's very red state. 916 00:41:00,480 --> 00:41:03,480 Speaker 1: There was sort of a hope that Brandon Presley could 917 00:41:03,680 --> 00:41:07,640 Speaker 1: break through what is a very whatever an R plus 918 00:41:07,760 --> 00:41:11,239 Speaker 1: I don't know, very high numbers twenty thirty forty, but 919 00:41:11,400 --> 00:41:12,239 Speaker 1: he wasn't able to. 920 00:41:12,360 --> 00:41:14,719 Speaker 3: But in Kentucky, one of the things. 921 00:41:14,520 --> 00:41:18,759 Speaker 1: We saw Burscher grew his electoral margins, he won by 922 00:41:18,800 --> 00:41:23,400 Speaker 1: even more, and he ran on abortion unapologetically. But the 923 00:41:23,560 --> 00:41:25,960 Speaker 1: point I wanted to make was that Republicans had a 924 00:41:25,960 --> 00:41:28,440 Speaker 1: real turnout problem in Kentucky. 925 00:41:28,480 --> 00:41:29,520 Speaker 3: Can you talk about that. 926 00:41:29,960 --> 00:41:32,359 Speaker 5: We saw the same pattern in Kentucky as we saw 927 00:41:32,400 --> 00:41:35,319 Speaker 5: in other states. I discussing Republican parts of the state 928 00:41:35,440 --> 00:41:37,960 Speaker 5: just didn't turn out as much as they should have 929 00:41:38,000 --> 00:41:40,560 Speaker 5: for the Republican to have a strong chance. 930 00:41:41,040 --> 00:41:41,239 Speaker 2: You know. 931 00:41:41,360 --> 00:41:44,719 Speaker 5: One a little addendem to this as well in Kentucky 932 00:41:44,840 --> 00:41:47,799 Speaker 5: is that the governor of Kentucky was a Democrat. When 933 00:41:47,800 --> 00:41:49,960 Speaker 5: he came into office in twenty nineteen, he did a 934 00:41:49,960 --> 00:41:52,360 Speaker 5: couple of things. One, he signed an executive order that 935 00:41:52,640 --> 00:41:55,840 Speaker 5: restored the voting rates of about five percent of residents 936 00:41:55,880 --> 00:41:58,560 Speaker 5: of the state. Just got their voting rights back, just 937 00:41:58,600 --> 00:42:01,000 Speaker 5: like that, with one stroke of the pen of the governor. 938 00:42:01,480 --> 00:42:04,640 Speaker 5: And there was a lot of efforts by organizers this 939 00:42:04,719 --> 00:42:07,160 Speaker 5: year by bye, by people who used to be in 940 00:42:07,160 --> 00:42:09,799 Speaker 5: prison and have regained their rights to reach out to 941 00:42:09,840 --> 00:42:12,880 Speaker 5: people who informed people and get them to Tornado as well. 942 00:42:13,600 --> 00:42:16,080 Speaker 5: And the other other is that there was an alliance 943 00:42:16,120 --> 00:42:21,360 Speaker 5: between the governor Bashir and the Republican and some Republicans 944 00:42:21,360 --> 00:42:23,520 Speaker 5: to make it easier to vote by mail, to make 945 00:42:23,560 --> 00:42:25,319 Speaker 5: it easier to vote in some ways. And you know 946 00:42:25,400 --> 00:42:28,520 Speaker 5: that there were efforts done by Democrats with some alliance 947 00:42:28,520 --> 00:42:31,080 Speaker 5: with says as centrist Republicans to make it easier to vote. 948 00:42:31,120 --> 00:42:32,719 Speaker 5: So it's a little too early to tell, you know 949 00:42:32,840 --> 00:42:36,600 Speaker 5: what produced what effects last week. But those things aren't random. 950 00:42:36,600 --> 00:42:38,919 Speaker 5: They were definitely efforts by Democrats, even in the state 951 00:42:38,960 --> 00:42:41,359 Speaker 5: like Kentucky, which is very difficult for them to make 952 00:42:41,640 --> 00:42:43,120 Speaker 5: voting voting easier last week. 953 00:42:43,320 --> 00:42:47,400 Speaker 1: Yeah, and that's a really interesting situation because you really 954 00:42:47,440 --> 00:42:52,520 Speaker 1: do have a red state with a governor who grew 955 00:42:52,600 --> 00:42:56,480 Speaker 1: his margins and also ran on choice. Let's look at Virginia, 956 00:42:56,600 --> 00:42:59,520 Speaker 1: because Virginia is so interesting to me. My opinion was 957 00:42:59,520 --> 00:43:03,880 Speaker 1: I was very worried about Virginia because I had seen 958 00:43:04,600 --> 00:43:07,400 Speaker 1: you know, Virginia is a purple state. It's maybe getting 959 00:43:07,400 --> 00:43:10,439 Speaker 1: a little bit more blue. But I really thought young 960 00:43:10,520 --> 00:43:11,920 Speaker 1: Kin he puts. 961 00:43:11,640 --> 00:43:12,400 Speaker 3: On that vest. 962 00:43:13,120 --> 00:43:17,160 Speaker 1: He says some stuff that sounds like a moderate. Remember 963 00:43:17,320 --> 00:43:21,400 Speaker 1: that fifteen week ban had been very well tested, right, Like, 964 00:43:21,440 --> 00:43:24,120 Speaker 1: this guy sticks to his talking points. 965 00:43:24,120 --> 00:43:25,920 Speaker 3: He's not like Trump. He goes out. 966 00:43:25,719 --> 00:43:28,680 Speaker 1: There, he says, I'm you know, give me the legislature 967 00:43:28,760 --> 00:43:32,879 Speaker 1: and I will enact this very well polled fifteen week 968 00:43:32,960 --> 00:43:35,800 Speaker 1: abortion man, which was really made in a lab to 969 00:43:35,960 --> 00:43:39,799 Speaker 1: appeal to moderates. And he couldn't do it. If anything, 970 00:43:40,360 --> 00:43:41,800 Speaker 1: he lost the other chamber. 971 00:43:42,000 --> 00:43:44,560 Speaker 5: Talk to me about that, No, I mean, you're absolutely 972 00:43:44,640 --> 00:43:49,480 Speaker 5: right that Governor. Youngkin put a huge effort into recruiting 973 00:43:49,520 --> 00:43:51,600 Speaker 5: into this new vision of the Repulican Party that he 974 00:43:51,680 --> 00:43:54,359 Speaker 5: thought he was building on the backs of like very 975 00:43:54,400 --> 00:43:58,000 Speaker 5: conservative policies, Like he went out and said that he 976 00:43:58,080 --> 00:44:01,359 Speaker 5: will introduce new restrictions on abortions and was hoping that 977 00:44:01,360 --> 00:44:04,080 Speaker 5: that message would make him seem like a centrist, which 978 00:44:04,120 --> 00:44:07,040 Speaker 5: is a bit odd and didn't work at the polls 979 00:44:07,880 --> 00:44:10,680 Speaker 5: because it was odd he was going out and saying actively, 980 00:44:10,880 --> 00:44:12,960 Speaker 5: I'm going to make abortion on an issue. If you 981 00:44:13,000 --> 00:44:15,040 Speaker 5: give me power, I'm going to use new restrictions. But 982 00:44:15,080 --> 00:44:17,440 Speaker 5: that's a compromise position, so obviously there was something here 983 00:44:17,480 --> 00:44:20,000 Speaker 5: that didn't quite add up. But you're right, Ted, it 984 00:44:20,200 --> 00:44:22,520 Speaker 5: was very suspenseful, right. 985 00:44:23,440 --> 00:44:26,680 Speaker 1: At least like he's a little bit disciplined, whereas Republicans 986 00:44:26,760 --> 00:44:28,600 Speaker 1: usually have like Trumps. 987 00:44:28,920 --> 00:44:31,680 Speaker 5: No, definitely, But I think one thing that's important to 988 00:44:31,680 --> 00:44:34,239 Speaker 5: remember is that his own election in twenty twenty one, 989 00:44:34,360 --> 00:44:37,480 Speaker 5: the story behind it and was that there was a 990 00:44:37,560 --> 00:44:41,160 Speaker 5: lot of anger around schools and rental choice in twenty 991 00:44:41,200 --> 00:44:42,239 Speaker 5: twenty one. 992 00:44:42,160 --> 00:44:45,759 Speaker 3: Really peak COVID education fuckery. 993 00:44:46,160 --> 00:44:48,280 Speaker 5: There was this idea by young Kin that the cultural 994 00:44:48,320 --> 00:44:50,399 Speaker 5: wars are going to help him, which actually we saw 995 00:44:50,680 --> 00:44:54,879 Speaker 5: not not just so Republicans failed to flip the state Senate, 996 00:44:54,920 --> 00:44:57,080 Speaker 5: the actually lost the state House in Virginia, but we 997 00:44:57,120 --> 00:44:59,960 Speaker 5: also saw similar results if you go further down, were 998 00:45:00,160 --> 00:45:03,759 Speaker 5: school board elections did not go well for conservatives last 999 00:45:03,760 --> 00:45:07,040 Speaker 5: week in Virginia. They were trying to overtake a bunch 1000 00:45:07,040 --> 00:45:11,120 Speaker 5: of suburban school boards, really increased the presence of Moms 1001 00:45:11,120 --> 00:45:14,279 Speaker 5: for Liberty, book bands, and all these issues that were 1002 00:45:14,280 --> 00:45:16,440 Speaker 5: supposed to have been central in twenty twenty one, and 1003 00:45:16,520 --> 00:45:18,480 Speaker 5: that also failed. You know, so I think if you 1004 00:45:18,520 --> 00:45:21,719 Speaker 5: combine the abortion result and the school board result again, 1005 00:45:21,760 --> 00:45:24,760 Speaker 5: what we see the same thing as we saw in Pennsylvania, 1006 00:45:24,880 --> 00:45:28,640 Speaker 5: where the left side of the spectrum was there and 1007 00:45:28,880 --> 00:45:32,359 Speaker 5: did not want the book bands, did not want abortion restrictions, 1008 00:45:32,800 --> 00:45:35,200 Speaker 5: and showed that itself is not going to sleep through 1009 00:45:35,320 --> 00:45:35,920 Speaker 5: these issues. 1010 00:45:36,239 --> 00:45:38,600 Speaker 1: Talk to me about Moms for Liberty, because this is 1011 00:45:38,760 --> 00:45:43,680 Speaker 1: a fascinating little bit of fuckery. Republicans got very excited 1012 00:45:44,120 --> 00:45:49,640 Speaker 1: that COVID restrictions were going to lead to school choice, 1013 00:45:49,680 --> 00:45:53,400 Speaker 1: which is going to lead to book bands, which was 1014 00:45:53,440 --> 00:45:56,240 Speaker 1: going to lead to them taking over the world. 1015 00:45:56,960 --> 00:45:59,320 Speaker 3: Moms for Liberty, you know, they sort. 1016 00:45:59,120 --> 00:46:01,799 Speaker 1: Of got the most crazy people they could find it 1017 00:46:01,800 --> 00:46:03,160 Speaker 1: didn't work for them, did it. 1018 00:46:03,440 --> 00:46:07,440 Speaker 5: This is so important to follow because my Momum's Liberty 1019 00:46:07,480 --> 00:46:11,120 Speaker 5: has this sort of smart underd rat or strategy for 1020 00:46:11,160 --> 00:46:14,080 Speaker 5: their purposes of going in at the last minute and 1021 00:46:14,600 --> 00:46:17,480 Speaker 5: endorsing candidates in the final week seven elections. And it's 1022 00:46:17,560 --> 00:46:20,759 Speaker 5: very hard. There were so many elections for school board, Molly, 1023 00:46:20,760 --> 00:46:22,920 Speaker 5: We're talking about hundreds in the state. 1024 00:46:23,320 --> 00:46:26,960 Speaker 3: It seems like a nightmare. Yeah, to keep track of on. 1025 00:46:26,800 --> 00:46:29,200 Speaker 5: A given day. There were one hundreds in many states 1026 00:46:29,200 --> 00:46:31,360 Speaker 5: at once. It's very hard to keep track of, including 1027 00:46:31,400 --> 00:46:33,920 Speaker 5: for local media, because the candidates are very good at 1028 00:46:34,160 --> 00:46:37,080 Speaker 5: not necessarily saying what they think until there, like self, 1029 00:46:37,520 --> 00:46:39,400 Speaker 5: last endorsement at the last minute. 1030 00:46:39,560 --> 00:46:42,720 Speaker 1: It's very misleading, right, the idea is I love normal, 1031 00:46:42,760 --> 00:46:45,120 Speaker 1: but that at the last minute they're like, yes, I'm crazy. 1032 00:46:45,200 --> 00:46:47,680 Speaker 5: And what we saw this year on like priories, is 1033 00:46:47,719 --> 00:46:50,080 Speaker 5: there was much more effort on the other side against 1034 00:46:50,080 --> 00:46:53,120 Speaker 5: Mom's Liberty to put the spotlight on people before even 1035 00:46:53,200 --> 00:46:55,799 Speaker 5: they had the chance to do their play. And what 1036 00:46:55,840 --> 00:46:58,800 Speaker 5: we saw in the result obviously there's so many elections 1037 00:46:58,800 --> 00:47:02,080 Speaker 5: that of course Conservatives won some school boards. They want 1038 00:47:02,160 --> 00:47:06,400 Speaker 5: some seats that are important, but overall, in so many states, 1039 00:47:06,560 --> 00:47:10,480 Speaker 5: the slates for candidates for conservative school board candidates did 1040 00:47:10,640 --> 00:47:11,480 Speaker 5: very poorly. 1041 00:47:11,800 --> 00:47:12,480 Speaker 4: And I think. 1042 00:47:12,480 --> 00:47:14,640 Speaker 5: Wherever you are listening to this, you you can go 1043 00:47:14,719 --> 00:47:17,000 Speaker 5: online and search for your own state. And you know, 1044 00:47:17,440 --> 00:47:21,200 Speaker 5: I was just yesterday reading articles on Kansas, on Iowa, 1045 00:47:21,320 --> 00:47:23,439 Speaker 5: so not you know, we're not We're not talking about 1046 00:47:23,480 --> 00:47:26,720 Speaker 5: loose states here. We're talking about states where the cultural 1047 00:47:26,719 --> 00:47:30,640 Speaker 5: wars are supposed to be very important, and overall, conservative 1048 00:47:30,640 --> 00:47:33,680 Speaker 5: slates did very poorly. I think the epicenter of this 1049 00:47:33,960 --> 00:47:37,560 Speaker 5: was in suburban Philly. There were school boards that had 1050 00:47:37,600 --> 00:47:40,400 Speaker 5: already been or overtaken by by by the right in 1051 00:47:40,440 --> 00:47:43,759 Speaker 5: recent years, and that we're reading the headlines for policies 1052 00:47:43,800 --> 00:47:48,560 Speaker 5: on book bands, policies on transgender students, especially in Bucks County, 1053 00:47:48,760 --> 00:47:52,000 Speaker 5: which is a very large suburban county in Philly. These 1054 00:47:52,160 --> 00:47:56,239 Speaker 5: these two school boards slipped back away from conservatives. So 1055 00:47:56,400 --> 00:47:58,319 Speaker 5: you know, those are a very important election. We're talking 1056 00:47:58,320 --> 00:48:00,000 Speaker 5: about so many students who are going to be affected. 1057 00:48:00,200 --> 00:48:01,040 Speaker 3: I want you to. 1058 00:48:00,960 --> 00:48:05,279 Speaker 1: Talk for a minute about trans panic, because this is 1059 00:48:05,560 --> 00:48:10,919 Speaker 1: an amazing thing that Republicans ran on. They basically decided 1060 00:48:11,080 --> 00:48:14,920 Speaker 1: that parents would and again this was based on some 1061 00:48:15,239 --> 00:48:18,120 Speaker 1: polling which is why I think we should all remember 1062 00:48:18,160 --> 00:48:22,960 Speaker 1: that polls are not necessarily the best indicator that parents 1063 00:48:23,120 --> 00:48:27,800 Speaker 1: really got upset if their kid was doing sports against 1064 00:48:27,840 --> 00:48:30,640 Speaker 1: a kid which they where they felt their gender was 1065 00:48:30,640 --> 00:48:33,319 Speaker 1: giving them an advantage, that they thought they could win 1066 00:48:33,360 --> 00:48:35,440 Speaker 1: elections on that and they did not. 1067 00:48:36,120 --> 00:48:38,359 Speaker 5: Yeah, you know, I was always kind of skeptical of 1068 00:48:38,360 --> 00:48:43,240 Speaker 5: that narrative because sort of the first big national moment 1069 00:48:43,320 --> 00:48:46,200 Speaker 5: where these issues, you know, captured the national imagination was 1070 00:48:46,360 --> 00:48:49,719 Speaker 5: a law in North Carolina about seven eight years ago. 1071 00:48:49,800 --> 00:48:52,239 Speaker 5: Now that was the bathroom Billy had got a lot 1072 00:48:52,280 --> 00:48:55,680 Speaker 5: of attention. The governor lost the following year, not to 1073 00:48:55,719 --> 00:48:59,040 Speaker 5: say that that is why he lost exclusively, but Hueenly 1074 00:48:59,080 --> 00:49:01,840 Speaker 5: became the embottom and of that issue. There was a 1075 00:49:01,880 --> 00:49:04,040 Speaker 5: lot of business backlash at the time. A lot of 1076 00:49:04,040 --> 00:49:06,760 Speaker 5: businesses left the state and that was definitely a big issue. 1077 00:49:06,800 --> 00:49:09,360 Speaker 5: And in a good year in twenty sixteen, that Republican 1078 00:49:09,400 --> 00:49:11,799 Speaker 5: governor lost the election, and I think we saw the 1079 00:49:11,880 --> 00:49:14,920 Speaker 5: same It's so easy to I think when the media 1080 00:49:15,040 --> 00:49:19,040 Speaker 5: expects that something is true, like when you expect that 1081 00:49:19,520 --> 00:49:22,680 Speaker 5: there will be a backlash against tread treat trans rights, 1082 00:49:22,960 --> 00:49:25,480 Speaker 5: or when there will be a backlash against reformation of 1083 00:49:25,520 --> 00:49:29,240 Speaker 5: a crual justice reforms. Any example of that backlash then. 1084 00:49:29,160 --> 00:49:31,080 Speaker 3: Becomes confirmation bias. 1085 00:49:31,560 --> 00:49:33,719 Speaker 5: Yes, it becomes a momage, right, it becomes gospel, and 1086 00:49:33,719 --> 00:49:36,040 Speaker 5: then it becomes used in every story as, oh, you 1087 00:49:36,080 --> 00:49:38,839 Speaker 5: know that that famous election, And I think that's sort 1088 00:49:38,880 --> 00:49:41,480 Speaker 5: of what we saw in twenty twenty one around those issues, 1089 00:49:42,000 --> 00:49:44,479 Speaker 5: when in fact, what we're seeing, I think in twenty 1090 00:49:44,480 --> 00:49:47,239 Speaker 5: twenty three, which is reassuring on the issue of trends rights, 1091 00:49:47,280 --> 00:49:50,160 Speaker 5: that it's not just that people are at best indifferent 1092 00:49:50,280 --> 00:49:52,319 Speaker 5: towards the rights of trans people. But there again, they 1093 00:49:52,360 --> 00:49:56,759 Speaker 5: were definitely organizing in the school board elections, people who 1094 00:49:56,800 --> 00:50:01,719 Speaker 5: came together, formed slates of candidates, campaigned in their communities 1095 00:50:01,920 --> 00:50:05,839 Speaker 5: on this issue and wanting to protect the rights of transtudents. 1096 00:50:06,040 --> 00:50:09,440 Speaker 1: Look, there are a lot of dumb Republican issues, but 1097 00:50:09,520 --> 00:50:13,000 Speaker 1: this one happens to also be deeply cruel and evil, 1098 00:50:13,360 --> 00:50:15,520 Speaker 1: and so that's why I wanted to bring it up. 1099 00:50:15,840 --> 00:50:19,720 Speaker 1: You know, the gas stoves also didn't work, but people 1100 00:50:19,760 --> 00:50:23,640 Speaker 1: aren't necessarily affected by an obsession with gas stoves the 1101 00:50:23,719 --> 00:50:29,239 Speaker 1: way that children are affected by being targeted by Republican politicians. 1102 00:50:29,440 --> 00:50:31,759 Speaker 5: With the new Speaker of the House who are a 1103 00:50:31,840 --> 00:50:34,000 Speaker 5: very anti gay agenda and hi gay past. You know, 1104 00:50:34,000 --> 00:50:35,960 Speaker 5: at this point Republican Party is going to bring back 1105 00:50:36,120 --> 00:50:40,240 Speaker 5: anti game measures of all sorts that really go beyond 1106 00:50:40,360 --> 00:50:42,520 Speaker 5: the trans rights and trans Americans. 1107 00:50:42,920 --> 00:50:47,720 Speaker 1: Yeah, that will be a real disaster, which for them electorally, 1108 00:50:47,920 --> 00:50:51,160 Speaker 1: which will be well deserved, so because they've done it 1109 00:50:51,160 --> 00:50:56,360 Speaker 1: to themselves. The Virginia races were quite expensive, really you 1110 00:50:56,400 --> 00:50:59,719 Speaker 1: know important If Democrats were to sort of take a 1111 00:50:59,760 --> 00:51:03,120 Speaker 1: message from those races, what do you think it is. 1112 00:51:03,719 --> 00:51:05,759 Speaker 5: I mean, it seems like the one message that our 1113 00:51:05,800 --> 00:51:07,720 Speaker 5: guys are getting out of every election for the past 1114 00:51:07,840 --> 00:51:11,080 Speaker 5: twelve month is that abortion is very important to people. 1115 00:51:11,200 --> 00:51:11,360 Speaker 4: You know. 1116 00:51:11,440 --> 00:51:13,880 Speaker 5: I think there was this I think there was a 1117 00:51:13,920 --> 00:51:15,359 Speaker 5: fear on a part of people who you know, were 1118 00:51:15,440 --> 00:51:18,080 Speaker 5: very worried about Dobbs that just by virtue the fact 1119 00:51:18,080 --> 00:51:21,200 Speaker 5: that twenty twenty two was a midterm with the Democratic president, 1120 00:51:21,360 --> 00:51:23,920 Speaker 5: that Republicans would just happened to do well because that's 1121 00:51:23,960 --> 00:51:25,480 Speaker 5: what happens on the midterm, and then they'd be this 1122 00:51:25,640 --> 00:51:28,880 Speaker 5: like story that forever that that Dobbs didn't create a 1123 00:51:28,920 --> 00:51:32,160 Speaker 5: backlash and that would be there bad for abortion policy. Instead, 1124 00:51:32,160 --> 00:51:34,640 Speaker 5: what we've seen in every election in the midterms, in 1125 00:51:34,760 --> 00:51:38,680 Speaker 5: the Wisconsin elections in April last week, that abortions is 1126 00:51:38,719 --> 00:51:41,320 Speaker 5: really on Deepo's mind, and that is true in places 1127 00:51:41,320 --> 00:51:43,520 Speaker 5: that have abortion bans, and that is true in places 1128 00:51:43,560 --> 00:51:46,120 Speaker 5: that where the abortion ban is a threat that obviously 1129 00:51:46,200 --> 00:51:48,080 Speaker 5: could come in the future, and that is going to 1130 00:51:48,080 --> 00:51:50,960 Speaker 5: be the messaging that the Democrats are going to continue using. 1131 00:51:51,200 --> 00:51:56,000 Speaker 5: Another messaging lesson is that in Virginia and in Kentucky, 1132 00:51:56,200 --> 00:52:00,000 Speaker 5: Republicans were very again like last year, messaging around the 1133 00:52:00,120 --> 00:52:02,560 Speaker 5: issue of crime, and they were trying to put the 1134 00:52:02,880 --> 00:52:06,719 Speaker 5: blame on rising crime rates on on Democrats. Echrinal justice 1135 00:52:06,760 --> 00:52:10,439 Speaker 5: reforms that in some places aren't even like Kentucky, haven't 1136 00:52:10,480 --> 00:52:12,920 Speaker 5: even been a big a big storyline and that and 1137 00:52:13,000 --> 00:52:16,279 Speaker 5: Democrats are sometimes a bit defensive on it, but sometimes not. 1138 00:52:16,320 --> 00:52:19,360 Speaker 5: And in fact, in Virginia right now, the new speaker 1139 00:52:19,600 --> 00:52:22,279 Speaker 5: of the Virginia House was going to be incoming is 1140 00:52:22,320 --> 00:52:26,120 Speaker 5: someone who had a criminal record himself and in the past. 1141 00:52:26,200 --> 00:52:28,600 Speaker 5: So it's interesting to see that that that that issue 1142 00:52:28,640 --> 00:52:32,480 Speaker 5: also isn't playing out the way that Republicans were expecting 1143 00:52:32,480 --> 00:52:32,680 Speaker 5: it to. 1144 00:52:33,239 --> 00:52:38,000 Speaker 3: So interesting. Taniel, I hope you'll come back, of course whenever. 1145 00:52:38,840 --> 00:52:39,279 Speaker 3: Thank you. 1146 00:52:40,040 --> 00:52:40,880 Speaker 5: Thank you for having me. 1147 00:52:43,400 --> 00:52:48,800 Speaker 3: No moment, Jesse Cannon. 1148 00:52:48,960 --> 00:52:51,879 Speaker 7: Molly drunk Fast. I'm going to tell you I had 1149 00:52:51,960 --> 00:52:54,040 Speaker 7: to like look up if there was a full moon 1150 00:52:54,120 --> 00:52:57,080 Speaker 7: and people were turning into werewolves. Because the fighting in 1151 00:52:57,160 --> 00:53:00,239 Speaker 7: Congress today was out of hand. Every hour or there 1152 00:53:00,280 --> 00:53:01,080 Speaker 7: was something new. 1153 00:53:01,160 --> 00:53:04,600 Speaker 1: So it was a normal Tuesday on Capitol Hill. McCarthy 1154 00:53:05,960 --> 00:53:10,560 Speaker 1: shoved but later denied it. Congressman Burchett in the hallway, 1155 00:53:11,160 --> 00:53:15,760 Speaker 1: Senator Mullin, who was an MMA fighter who knew tried 1156 00:53:15,840 --> 00:53:23,160 Speaker 1: to fight Teamster. President Sean O'Brien Comer called Congressman Moscow, 1157 00:53:23,200 --> 00:53:28,960 Speaker 1: it's a liar and a smurf, and then MTG said 1158 00:53:29,040 --> 00:53:36,200 Speaker 1: that darryl Isa lacked mail anatomy. Congratulations Republicans. We were 1159 00:53:36,239 --> 00:53:39,080 Speaker 1: told that Trump is a doesn't scale. We were in 1160 00:53:39,120 --> 00:53:43,680 Speaker 1: fact wrong. That's it for this episode of Fast Politics. 1161 00:53:44,040 --> 00:53:46,960 Speaker 1: Tune in every Monday, Wednesday and Friday to hear the 1162 00:53:47,000 --> 00:53:50,440 Speaker 1: best minds in politics makes sense of all this chaos. 1163 00:53:50,719 --> 00:53:53,279 Speaker 1: If you enjoyed what you've heard, please send it to 1164 00:53:53,320 --> 00:53:56,720 Speaker 1: a friend and keep the conversation going. And again, thanks 1165 00:53:56,719 --> 00:53:57,320 Speaker 1: for listening.