1 00:00:00,600 --> 00:00:04,120 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics. 2 00:00:04,360 --> 00:00:07,120 Speaker 1: Well we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,600 Speaker 1: today's best minds and Tommy too ravel is perhaps unsurprisingly 4 00:00:11,760 --> 00:00:14,680 Speaker 1: making racist speeches. What an excellent show we have today. 5 00:00:14,720 --> 00:00:16,919 Speaker 1: First we're gonna talk to Congressman Peter Welsh, who is 6 00:00:16,960 --> 00:00:19,560 Speaker 1: the Democratic nominee for Senate in Vermont, and he's gonna 7 00:00:19,600 --> 00:00:22,000 Speaker 1: tell us about what's going on up in Vermont. Then 8 00:00:22,000 --> 00:00:24,920 Speaker 1: we'll talk to David Roberts, who writes the sub stec Volts, 9 00:00:24,960 --> 00:00:27,880 Speaker 1: which covers clean energy and politics, and he's going to 10 00:00:27,920 --> 00:00:30,000 Speaker 1: tell us about what he's been seeing on the climate 11 00:00:30,040 --> 00:00:34,120 Speaker 1: change front lately. But first we have legendary Democratic strategist 12 00:00:34,479 --> 00:00:38,840 Speaker 1: James Carville. Welcome to Fast Politics. James Carville. Oh well, 13 00:00:38,840 --> 00:00:45,919 Speaker 1: thank you be Unfast Politics, FO. I actually kind of 14 00:00:45,920 --> 00:00:48,640 Speaker 1: wish with these mid terms that the politics were a 15 00:00:48,680 --> 00:00:52,560 Speaker 1: little slower. This is not your first, nor your second, 16 00:00:52,640 --> 00:00:55,800 Speaker 1: nor your third nor your fourth mid term. I mean, 17 00:00:56,200 --> 00:00:59,520 Speaker 1: what are you seeing here? I think the Republicans have 18 00:00:59,600 --> 00:01:05,080 Speaker 1: nomen needed an unusual slate of towns. I don't know, 19 00:01:05,959 --> 00:01:10,800 Speaker 1: just weird, okay, just and who say that the weirdest things? 20 00:01:10,840 --> 00:01:13,640 Speaker 1: The guy in New Hampshire says that you should leave remben, 21 00:01:13,680 --> 00:01:19,160 Speaker 1: should leave the health decisions to Republican gentlemen. I don't 22 00:01:19,200 --> 00:01:22,959 Speaker 1: even mention Blake Masters in his opposition to our insry 23 00:01:23,000 --> 00:01:26,520 Speaker 1: in World War Two. I mean, we haven't even gotten 24 00:01:26,640 --> 00:01:31,040 Speaker 1: to think about herschel Walker or jd Vance in his foundation. 25 00:01:31,080 --> 00:01:36,080 Speaker 1: It never never pinted anybody. It's just doctor Dodds, the 26 00:01:36,200 --> 00:01:41,160 Speaker 1: dog killer. I don't know, it's I've never seen a 27 00:01:41,319 --> 00:01:46,200 Speaker 1: political party just turned into a coat as fast as 28 00:01:46,200 --> 00:01:48,680 Speaker 1: a model of focus. It's just I've just never seen 29 00:01:48,720 --> 00:01:51,080 Speaker 1: I don't think anybody else that. Do you think, I 30 00:01:51,120 --> 00:01:56,400 Speaker 1: mean herschel Walker. He's got the one abortion. Supposedly there's 31 00:01:56,520 --> 00:01:59,200 Speaker 1: more that people haven't been able to track down. Then 32 00:01:59,200 --> 00:02:01,480 Speaker 1: he said, but even just the way he handled that 33 00:02:01,600 --> 00:02:05,600 Speaker 1: one abortion, Okay, that's I thought on the first one, 34 00:02:05,840 --> 00:02:08,520 Speaker 1: the first one we found about. Yeah, I thought he 35 00:02:08,560 --> 00:02:11,560 Speaker 1: acted up kind of. I mean, it would have been 36 00:02:11,639 --> 00:02:14,679 Speaker 1: much worse if he did not acknowledge that, the fact 37 00:02:14,720 --> 00:02:19,120 Speaker 1: that he sent to seven art dollars nod. Well, I 38 00:02:19,240 --> 00:02:22,240 Speaker 1: can forgive that. And I grew up thinking of people 39 00:02:22,360 --> 00:02:25,840 Speaker 1: best forgiveness sense the way it is right, that's you know. 40 00:02:26,000 --> 00:02:28,680 Speaker 1: Now he held a gun to one of his kid's 41 00:02:28,760 --> 00:02:30,880 Speaker 1: mother's head. He tried to show the other one that's 42 00:02:31,000 --> 00:02:33,680 Speaker 1: that's kind of hard of you. That guy has three 43 00:02:33,760 --> 00:02:37,440 Speaker 1: of children that he paid no attention to. That with 44 00:02:37,680 --> 00:02:40,840 Speaker 1: the woman with the abortions, he said he didn't know her, 45 00:02:41,040 --> 00:02:42,920 Speaker 1: and then it turned out he had a child with her, 46 00:02:43,360 --> 00:02:47,560 Speaker 1: didn't now the great moral of the great moral roughlye 47 00:02:48,000 --> 00:02:50,799 Speaker 1: in the sky new gang which comes in away in 48 00:02:52,320 --> 00:02:54,920 Speaker 1: were you rest in a new fucking gangwich out there? 49 00:02:55,320 --> 00:02:59,359 Speaker 1: So gang it says, because he sct in mental illness, 50 00:02:59,520 --> 00:03:02,720 Speaker 1: that means him that make him those consequential United States 51 00:03:02,760 --> 00:03:06,400 Speaker 1: senator of this center. Wait just wait a god damn man. 52 00:03:06,760 --> 00:03:08,519 Speaker 1: So you have a guy on a ledge of building 53 00:03:08,680 --> 00:03:13,079 Speaker 1: York City, sudden negotiator, you know, the trained expert though 54 00:03:13,120 --> 00:03:15,840 Speaker 1: he said, you don't want to jump off that ledge. 55 00:03:15,880 --> 00:03:18,200 Speaker 1: It's not a smart move. And the guy says, look, 56 00:03:18,200 --> 00:03:20,359 Speaker 1: I know I can fly. I see faces that you 57 00:03:20,480 --> 00:03:23,359 Speaker 1: can't fly, sir, is not the right move. I don't 58 00:03:23,400 --> 00:03:25,760 Speaker 1: have any life? It off this ledge. No, you don't. 59 00:03:25,800 --> 00:03:27,239 Speaker 1: You do have a life. We're gonna make you a 60 00:03:27,360 --> 00:03:33,800 Speaker 1: United States senator. But sensus made because he has because 61 00:03:33,880 --> 00:03:37,160 Speaker 1: he has severe mental illness, and he's had you know, 62 00:03:37,360 --> 00:03:40,800 Speaker 1: he's concussed on a hundred different occasions that he would 63 00:03:40,840 --> 00:03:44,160 Speaker 1: make a great SEVENCE. No, he needs medication, he needs 64 00:03:44,200 --> 00:03:47,600 Speaker 1: community support. I think I think on the Obamacare Medicare, 65 00:03:47,760 --> 00:03:52,240 Speaker 1: you can actually get reimbursed for mental health. He needs 66 00:03:52,280 --> 00:03:55,200 Speaker 1: a fucking doctor. He doesn't need a Senate seat. I mean, 67 00:03:55,280 --> 00:03:57,320 Speaker 1: what I love about this Republican Party is they have 68 00:03:57,480 --> 00:04:04,240 Speaker 1: no policy. So he was like saying that people that 69 00:04:04,480 --> 00:04:06,520 Speaker 1: are a lot of Nicholao people in the country, and 70 00:04:06,600 --> 00:04:10,200 Speaker 1: maybe herschel can representative level saying that's a very unique 71 00:04:10,560 --> 00:04:13,760 Speaker 1: campaign strategy. I would have to say, but I guess 72 00:04:14,000 --> 00:04:16,160 Speaker 1: that when not talking to get down to that, get 73 00:04:16,200 --> 00:04:18,360 Speaker 1: down to that. I've read a lot of reporting and 74 00:04:18,720 --> 00:04:21,719 Speaker 1: think pieces and I might work on one today about 75 00:04:21,800 --> 00:04:24,120 Speaker 1: this idea that this is the chaos mid terms. But 76 00:04:24,200 --> 00:04:26,320 Speaker 1: are they really the gast mid terms or is it 77 00:04:26,440 --> 00:04:28,560 Speaker 1: really I mean, what do you see as the factors 78 00:04:28,600 --> 00:04:31,760 Speaker 1: in play here other than the fact that I don't 79 00:04:31,800 --> 00:04:35,080 Speaker 1: know five six out have to take a hardcount of 80 00:04:35,440 --> 00:04:40,520 Speaker 1: their Senate nominees are in my are legitimately nuts. That 81 00:04:40,760 --> 00:04:43,360 Speaker 1: makes it unique. I mean, I don't know where have 82 00:04:43,480 --> 00:04:47,320 Speaker 1: you ever fielded a party fielded a slate in major 83 00:04:47,440 --> 00:04:51,400 Speaker 1: races of disquality. I mean, that's what that's the thing 84 00:04:51,520 --> 00:04:53,960 Speaker 1: that makes it. And of course, but what also is 85 00:04:54,080 --> 00:04:58,040 Speaker 1: that you know, now you have the role question all this. Yes, 86 00:04:58,120 --> 00:05:00,640 Speaker 1: they on television, I mean I got and I meanness 87 00:05:01,000 --> 00:05:04,600 Speaker 1: that the Leto and Gorsage and all of them are like, 88 00:05:04,960 --> 00:05:07,479 Speaker 1: don't worry about the women. They all got gassed up 89 00:05:07,560 --> 00:05:10,120 Speaker 1: right after after road. But they'll forget about it. They 90 00:05:10,120 --> 00:05:12,400 Speaker 1: don't have any attention span. They'll go back to moving first. 91 00:05:13,000 --> 00:05:16,120 Speaker 1: And you know that's what they say. And you know, 92 00:05:16,240 --> 00:05:18,080 Speaker 1: and some of other people are saying some of the 93 00:05:18,279 --> 00:05:22,120 Speaker 1: energy post row energies starting to dissipate. Well, if you 94 00:05:22,160 --> 00:05:25,000 Speaker 1: know people don't have that much interest in their lives 95 00:05:25,080 --> 00:05:27,280 Speaker 1: and their futures, you know, it's so much kind of 96 00:05:27,320 --> 00:05:29,880 Speaker 1: come back in and say, you got the way that 97 00:05:29,960 --> 00:05:33,719 Speaker 1: we went this. It's normally about fifty people that vote 98 00:05:34,000 --> 00:05:36,680 Speaker 1: for female but we got to get that number of 99 00:05:36,720 --> 00:05:41,960 Speaker 1: fifty fifty five and somebody and you know these some 100 00:05:42,240 --> 00:05:45,280 Speaker 1: somebody's female voters have got to take their battles in 101 00:05:45,320 --> 00:05:48,160 Speaker 1: their own hands and go out vote, volunteer, drag their 102 00:05:48,200 --> 00:05:50,160 Speaker 1: friends out. That's even gonna save it from all of this. 103 00:05:50,560 --> 00:05:54,520 Speaker 1: But that's their bat that that they you know, the 104 00:05:54,640 --> 00:05:58,040 Speaker 1: guy new has said, leave it to leave these decisions. 105 00:05:58,080 --> 00:06:01,159 Speaker 1: These Republican generlemen, they know us what to do to weamen. 106 00:06:01,360 --> 00:06:04,000 Speaker 1: The thing that I'm struck by is there's so much 107 00:06:04,200 --> 00:06:08,440 Speaker 1: talk that voters trust Republicans on the economy, but there's 108 00:06:08,520 --> 00:06:12,160 Speaker 1: quite a lot of evidence that Republicans don't necessarily have 109 00:06:12,400 --> 00:06:16,919 Speaker 1: any kind of any kind of economic you know, policy. 110 00:06:17,720 --> 00:06:19,880 Speaker 1: I mean, is that a failure on the part of Democrats. 111 00:06:20,279 --> 00:06:24,200 Speaker 1: A friend of mine, but certainly Kylie, knowing Alan Blond 112 00:06:24,800 --> 00:06:28,080 Speaker 1: was to think the second guide said, at one time 113 00:06:28,120 --> 00:06:30,960 Speaker 1: there's a professor Preston read a book on the economic 114 00:06:31,040 --> 00:06:35,000 Speaker 1: performance under Republican Democratic presidents and the title of book 115 00:06:35,120 --> 00:06:39,440 Speaker 1: is it's not even close. I don't know why anyone 116 00:06:39,640 --> 00:06:43,560 Speaker 1: would ever think that Republicans about Democrats, but you know, 117 00:06:43,680 --> 00:06:46,599 Speaker 1: they see it, they see us in there. That's probably 118 00:06:46,600 --> 00:06:49,520 Speaker 1: in arguable not gonna change your mind during that election day. Yeah, 119 00:06:49,680 --> 00:06:51,880 Speaker 1: I mean, what do you think about the gamble that 120 00:06:52,240 --> 00:06:54,679 Speaker 1: Democrats have done, which I actually think is not great 121 00:06:55,200 --> 00:06:58,000 Speaker 1: of of sort of supporting the worst candidates and some 122 00:06:58,160 --> 00:07:01,760 Speaker 1: of these I think it's more or ethical, brilliant I 123 00:07:01,800 --> 00:07:04,719 Speaker 1: would have done exactly the same thing. Okay, so explain. 124 00:07:04,839 --> 00:07:08,320 Speaker 1: So like, for example, Carry Lake, who is really quite 125 00:07:08,520 --> 00:07:11,800 Speaker 1: anti democracy, is now polling pretty well. I mean, are 126 00:07:11,840 --> 00:07:15,800 Speaker 1: you of course, I'm worried about it. But but if 127 00:07:16,120 --> 00:07:18,800 Speaker 1: Carry Lake beat you, didn't whoever else was able to 128 00:07:18,880 --> 00:07:23,240 Speaker 1: beat you worst? And if a campaign does whatever it 129 00:07:23,360 --> 00:07:26,000 Speaker 1: thinks it needs to do to put itself in the 130 00:07:26,120 --> 00:07:28,400 Speaker 1: best position to win. Now, somebody called me to day 131 00:07:28,440 --> 00:07:31,480 Speaker 1: and said that they had a debate with Hobbs and Lake, 132 00:07:31,520 --> 00:07:34,280 Speaker 1: and I guess Fox and that Major Garrett let Carry 133 00:07:34,360 --> 00:07:37,600 Speaker 1: Lake just lie on every question. But what else is right? 134 00:07:37,840 --> 00:07:39,840 Speaker 1: You know? And I do think, if you know, a 135 00:07:39,920 --> 00:07:42,640 Speaker 1: different Republican might have a better chance against Marl Kelly 136 00:07:42,840 --> 00:07:48,160 Speaker 1: than Blake Best. Yeah, I mean, if they win, they didn't. 137 00:07:48,200 --> 00:07:51,160 Speaker 1: There were you know, people voted for, but the Democrats 138 00:07:51,200 --> 00:07:52,720 Speaker 1: had to do what they had to do to get 139 00:07:52,800 --> 00:07:55,480 Speaker 1: the best possible counidate. Did the same thing in Maryland, 140 00:07:55,560 --> 00:07:59,160 Speaker 1: didn't Ilinoia in western Michigan. You know, I wish our 141 00:07:59,240 --> 00:08:02,080 Speaker 1: candidates would do and a little better in Pennsylvania Wisconsin. 142 00:08:02,240 --> 00:08:05,000 Speaker 1: But I think we're there close to both of them. 143 00:08:05,560 --> 00:08:08,040 Speaker 1: I feel like I'm a little more worried about Wisconsin 144 00:08:08,240 --> 00:08:13,240 Speaker 1: than Pennsylvania. Like it seems like in Pennsylvania Fetterman is 145 00:08:13,480 --> 00:08:15,840 Speaker 1: I think doing as well. You know, I think he 146 00:08:15,960 --> 00:08:19,120 Speaker 1: has a real movement, and and Shupiero too. But in 147 00:08:19,200 --> 00:08:22,880 Speaker 1: Wisconsin it feels like there's a sense in which it's 148 00:08:22,960 --> 00:08:26,560 Speaker 1: just the It feels like the Republicans have spent a 149 00:08:26,640 --> 00:08:28,920 Speaker 1: lot of money on ads and now Ron Johnson is 150 00:08:29,000 --> 00:08:34,079 Speaker 1: pulling about even with Mandela Barnes. In Pennsylvania, Federment is 151 00:08:34,160 --> 00:08:38,599 Speaker 1: like up to is probably down one. The difference is 152 00:08:38,960 --> 00:08:43,600 Speaker 1: that Avers is probably up one and Shapiro is up tim. Right, 153 00:08:44,800 --> 00:08:47,719 Speaker 1: there's gonna be some drag up the governments race, but 154 00:08:48,400 --> 00:08:51,079 Speaker 1: you know, we could run on both. I think the 155 00:08:52,360 --> 00:08:56,280 Speaker 1: Gavin Newsom does this, and of course the Abbott, the Santis. 156 00:08:56,520 --> 00:08:59,880 Speaker 1: The politics have become stunts, right right, And it's all 157 00:09:00,000 --> 00:09:02,120 Speaker 1: there's some stunt to make fun of eyes, which I like, 158 00:09:02,320 --> 00:09:04,320 Speaker 1: and it's always fun to make fund of eyes because 159 00:09:04,360 --> 00:09:08,360 Speaker 1: it's such a conceptible human being entertained value. But I 160 00:09:08,400 --> 00:09:10,439 Speaker 1: don't know how much that ship dries bogus? Do You 161 00:09:10,480 --> 00:09:12,760 Speaker 1: don't think so? No? I think it just looks like 162 00:09:12,840 --> 00:09:15,240 Speaker 1: a stunt, because that's what it is. If you haven't 163 00:09:15,240 --> 00:09:18,360 Speaker 1: seen that John Olliver, doctor ospiece. No, I don't know 164 00:09:18,400 --> 00:09:20,120 Speaker 1: how to go. I don't know how docs gets up 165 00:09:20,120 --> 00:09:23,000 Speaker 1: in the morning. There's the most devastating thing I'm saying 166 00:09:23,080 --> 00:09:25,199 Speaker 1: my life. What do you think Democrats should be do 167 00:09:25,200 --> 00:09:27,360 Speaker 1: when you get people out to vote? Because this is 168 00:09:27,480 --> 00:09:31,640 Speaker 1: we are like in the runoff now and particularly young people, 169 00:09:32,120 --> 00:09:35,920 Speaker 1: and that is I don't have I don't have a 170 00:09:36,040 --> 00:09:38,760 Speaker 1: great answer, but I am I am told constantly that 171 00:09:39,000 --> 00:09:42,199 Speaker 1: you know, there's not a lot of disengaged on the 172 00:09:42,280 --> 00:09:45,800 Speaker 1: thirty five and disengaged and you know, if I'm the 173 00:09:45,880 --> 00:09:48,960 Speaker 1: thirty five and I'll see what's going on in this climate. 174 00:09:49,080 --> 00:09:52,439 Speaker 1: I see the way that the level of the misogyny 175 00:09:52,520 --> 00:09:55,959 Speaker 1: of the other side. You know, at some point young 176 00:09:56,000 --> 00:09:58,560 Speaker 1: people got to get involved themselves. It's that country. It's 177 00:09:58,600 --> 00:10:00,920 Speaker 1: that's huge. I think you look this ship not want 178 00:10:00,960 --> 00:10:03,599 Speaker 1: to be involved, right It's an issue. I mean, what 179 00:10:03,720 --> 00:10:05,600 Speaker 1: do you think is going on with Gavin Newsom right 180 00:10:05,640 --> 00:10:08,000 Speaker 1: now and the mastic he's gonna want to run for 181 00:10:08,120 --> 00:10:11,319 Speaker 1: president and say putting billboards up in Florida because that 182 00:10:11,800 --> 00:10:13,800 Speaker 1: you know, that's our word, that that they like to 183 00:10:13,880 --> 00:10:16,559 Speaker 1: own the lives. We like to own Fox or something, 184 00:10:17,120 --> 00:10:20,959 Speaker 1: And I just think that kind of politics, you know, 185 00:10:21,080 --> 00:10:23,640 Speaker 1: it's fun, but it's not sustainable over a long period 186 00:10:23,679 --> 00:10:26,959 Speaker 1: of time. A lot of us are really tired and 187 00:10:27,160 --> 00:10:31,640 Speaker 1: just would like American politics to uh, you know, listen 188 00:10:31,679 --> 00:10:33,760 Speaker 1: to the Republican Party did a lot of bad stuff, 189 00:10:33,800 --> 00:10:36,800 Speaker 1: but they used to not be quite so unhinged. I mean, 190 00:10:36,880 --> 00:10:40,040 Speaker 1: do you see a world where things go back to 191 00:10:40,240 --> 00:10:42,280 Speaker 1: you know that there we sort of see a more 192 00:10:42,360 --> 00:10:45,760 Speaker 1: of a Mit Romney or someone just a little less insane. 193 00:10:47,040 --> 00:10:49,719 Speaker 1: Well what did you just say? What? What? What name 194 00:10:49,760 --> 00:10:52,640 Speaker 1: did you just get out of your mouth? It's got 195 00:10:52,840 --> 00:10:59,280 Speaker 1: a little lesson No, no, no, no, no, no, are 196 00:10:59,360 --> 00:11:06,559 Speaker 1: you kidding? It just got substantially crazier since yeah, no, 197 00:11:07,880 --> 00:11:10,080 Speaker 1: it's not gonna get any better. Just don't get worse. 198 00:11:10,400 --> 00:11:15,719 Speaker 1: Hers Walker is the fusion. So play along with me 199 00:11:15,840 --> 00:11:19,760 Speaker 1: here fast forward. I mean, what does look like how 200 00:11:20,000 --> 00:11:24,400 Speaker 1: I'm just trying to get through two? Molly Jesus Grice, 201 00:11:24,440 --> 00:11:28,480 Speaker 1: you could lose the House and the Senate. Nothing think 202 00:11:28,480 --> 00:11:32,679 Speaker 1: about that. Even there's so many unknowns about four. We 203 00:11:32,840 --> 00:11:36,840 Speaker 1: just was so not enough to say anything honestly, right, 204 00:11:37,080 --> 00:11:39,079 Speaker 1: if you're listening to this right now and you're like 205 00:11:39,200 --> 00:11:42,240 Speaker 1: my husband, who's our target listener? What are the races 206 00:11:42,320 --> 00:11:44,440 Speaker 1: that you think people who are listening to this should 207 00:11:44,880 --> 00:11:47,360 Speaker 1: give money to get involved, and that you feel like 208 00:11:47,440 --> 00:11:50,599 Speaker 1: you're close enough that could make a difference. So the 209 00:11:50,720 --> 00:11:53,559 Speaker 1: one thing I know is that it direct to the 210 00:11:53,720 --> 00:11:58,480 Speaker 1: candidate is the most efficient use of money. Yes, definitely, 211 00:11:59,040 --> 00:12:06,240 Speaker 1: But also in certain places where you have multiple races. Arizona, Nevada, 212 00:12:06,800 --> 00:12:09,160 Speaker 1: well that a little bit different. I wouldn't the d 213 00:12:09,360 --> 00:12:12,600 Speaker 1: s A is the Democratic Socialists took over the Democratic Party, 214 00:12:12,679 --> 00:12:14,800 Speaker 1: so I definitely would not send them money. I would 215 00:12:14,840 --> 00:12:19,680 Speaker 1: send it right to Master's Easley in North Carolina for sure. Really, 216 00:12:20,120 --> 00:12:22,480 Speaker 1: do you think there's a chance Democrats win that? No 217 00:12:22,640 --> 00:12:29,320 Speaker 1: worse than you probably not. For sure. Wisconsin, you mean 218 00:12:29,360 --> 00:12:32,480 Speaker 1: you got to send it race the governor's race Wisconsin 219 00:12:32,600 --> 00:12:36,440 Speaker 1: Democratic Party is particularly good. That's Ben Winkler. So if 220 00:12:36,480 --> 00:12:38,920 Speaker 1: I were doing the Democratic Party stuff, I think of 221 00:12:39,080 --> 00:12:42,079 Speaker 1: Wisconsin's everything. In North Carolina too, because you don't have 222 00:12:42,120 --> 00:12:44,120 Speaker 1: a governor's race, but you got these racists for the 223 00:12:44,200 --> 00:12:48,280 Speaker 1: Supreme Court is just staggerantly critical. That would be the 224 00:12:48,480 --> 00:12:51,760 Speaker 1: probably my number one target's I think fement. I think 225 00:12:51,800 --> 00:12:55,079 Speaker 1: plenty money in Pennsylvania. But because to say not there, uh, 226 00:12:55,600 --> 00:12:57,679 Speaker 1: but that would be that, that would be I think 227 00:12:57,720 --> 00:13:00,800 Speaker 1: you do the most good. Oh that's really staying and important. 228 00:13:00,840 --> 00:13:03,040 Speaker 1: I'd say nos Todd in the VATA top of the 229 00:13:03,120 --> 00:13:07,360 Speaker 1: pack and order in the Wisconsin Democratic Party. But in 230 00:13:07,520 --> 00:13:10,480 Speaker 1: these last couple of weeks, what do you think, like 231 00:13:10,679 --> 00:13:13,000 Speaker 1: if you could give sort of Biden a message of 232 00:13:13,120 --> 00:13:15,880 Speaker 1: what he should be doing. I mean, do you think, like, 233 00:13:16,360 --> 00:13:18,760 Speaker 1: is there anything he could do that could energize young 234 00:13:18,840 --> 00:13:21,679 Speaker 1: voters to get them turned down? It's not the young 235 00:13:21,800 --> 00:13:26,640 Speaker 1: vote he's letting people actually went to jail from me, right, 236 00:13:26,880 --> 00:13:29,240 Speaker 1: I don't know, but that helps. He's like none, He's 237 00:13:29,240 --> 00:13:31,040 Speaker 1: tried to help him on his student loans. I don't 238 00:13:31,040 --> 00:13:35,199 Speaker 1: know how much it helps. You know, you had Supreme 239 00:13:35,280 --> 00:13:37,800 Speaker 1: Court and he's reprobably gonna selling young people we're gonna 240 00:13:37,800 --> 00:13:39,880 Speaker 1: were gonna have the main over your body for the 241 00:13:39,960 --> 00:13:41,880 Speaker 1: rest of your life. I wish I had an answer, 242 00:13:42,000 --> 00:13:45,000 Speaker 1: but a disengage young person. We have to get sider 243 00:13:45,040 --> 00:13:47,880 Speaker 1: possible that person may just be a food yeah. Right, 244 00:13:48,280 --> 00:13:52,000 Speaker 1: So the most important midium election of our lifetime, it 245 00:13:52,160 --> 00:13:55,240 Speaker 1: always is. Sometimes they've broken clock is right twice a day. 246 00:13:56,559 --> 00:13:58,880 Speaker 1: Might be right, just tire, we stand, we can we 247 00:13:58,960 --> 00:14:09,760 Speaker 1: know how we stand on the precedents. Peter Welch represents 248 00:14:09,880 --> 00:14:13,280 Speaker 1: Vermont's sole congressional district and is the Democratic nominee for 249 00:14:13,360 --> 00:14:16,920 Speaker 1: Senate in the state. Welcome to Fast Politics, Peter Welch, 250 00:14:17,160 --> 00:14:21,360 Speaker 1: Good to be with you. You are not yet a 251 00:14:22,080 --> 00:14:26,480 Speaker 1: Vermont Senator, but the seat you're running for is a 252 00:14:26,640 --> 00:14:32,280 Speaker 1: D plus. Well it's deep plus. I mean we voted 253 00:14:32,280 --> 00:14:35,400 Speaker 1: as seven thirty for Biden over Trump. You know, we've 254 00:14:35,440 --> 00:14:39,680 Speaker 1: got Chris Patrick Leahy, who has been a revered senator 255 00:14:39,760 --> 00:14:42,960 Speaker 1: for Vermont for forty eight years. And of course Bernie 256 00:14:43,000 --> 00:14:46,920 Speaker 1: Sanders is our other senator and he's revered, so we 257 00:14:47,120 --> 00:14:50,120 Speaker 1: had him last week. We're doing like a good sort 258 00:14:50,120 --> 00:14:53,200 Speaker 1: of Vermont Senate kick, which I think, you know, not 259 00:14:53,440 --> 00:14:56,840 Speaker 1: many podcasts can say. Well, that's great. The big joy 260 00:14:56,960 --> 00:14:59,760 Speaker 1: in my job. I've started in the House for sixteen years, 261 00:14:59,840 --> 00:15:02,480 Speaker 1: but I worked with Bernie and Patrick for the past 262 00:15:02,520 --> 00:15:05,400 Speaker 1: sixteen years. And there's only three of us in one 263 00:15:05,440 --> 00:15:08,040 Speaker 1: of the six states now that only has one member 264 00:15:08,080 --> 00:15:11,000 Speaker 1: of the House. So we you know, it means we 265 00:15:11,680 --> 00:15:14,080 Speaker 1: a half to work together. And the good news is 266 00:15:14,160 --> 00:15:17,360 Speaker 1: we like to work together. And I've supported Bernie and 267 00:15:17,560 --> 00:15:20,800 Speaker 1: his two presidential campaigns and Patrick, and when he first 268 00:15:20,960 --> 00:15:23,680 Speaker 1: ran for the US Senate nineteen seventy four, I was 269 00:15:23,800 --> 00:15:26,920 Speaker 1: a volunteer on his campaign. So all of us have 270 00:15:27,080 --> 00:15:31,320 Speaker 1: been friends for decades. That is so interesting. And you 271 00:15:31,400 --> 00:15:34,640 Speaker 1: were also the president of the Vermont Senate, right, that's right. 272 00:15:34,760 --> 00:15:37,600 Speaker 1: I served in the state Senate in the nineteen eighties, 273 00:15:37,680 --> 00:15:40,120 Speaker 1: and I was the first Democrat actually in the history 274 00:15:40,160 --> 00:15:43,200 Speaker 1: of the state the service the Senate president. And that's 275 00:15:43,280 --> 00:15:46,000 Speaker 1: the that's the leader of the Senate. And I was 276 00:15:46,080 --> 00:15:51,160 Speaker 1: elected unanimously with Democrats and Republicans. And then I ran 277 00:15:51,240 --> 00:15:53,720 Speaker 1: for governor in nineteen ninety and I lost. And I 278 00:15:53,840 --> 00:15:56,080 Speaker 1: was out of politics for eleven years. And when I 279 00:15:56,680 --> 00:15:59,080 Speaker 1: was reappointed to the Senate, I was appointed to the 280 00:15:59,160 --> 00:16:02,040 Speaker 1: Senate again. I was gone so long that my colleagues 281 00:16:02,080 --> 00:16:04,000 Speaker 1: have forgotten why they were mad at me. And they 282 00:16:04,320 --> 00:16:07,040 Speaker 1: realized they elected me to be Senate president. Yet, so 283 00:16:07,200 --> 00:16:09,120 Speaker 1: why were they mad at you? You know, if you're 284 00:16:09,160 --> 00:16:11,640 Speaker 1: the leader of the Senate, you're always in a position 285 00:16:11,720 --> 00:16:15,360 Speaker 1: to disappoint people. You know, I'm overstating a little bit, 286 00:16:15,520 --> 00:16:20,080 Speaker 1: but in fact, as a Senate leader, a legislative leader. Uh, 287 00:16:20,400 --> 00:16:23,360 Speaker 1: you really have a major responsibility to try to bring 288 00:16:23,480 --> 00:16:28,120 Speaker 1: people together. And that means you can't give everybody what 289 00:16:28,240 --> 00:16:31,640 Speaker 1: they want because there's there's conflicts there and your your 290 00:16:31,720 --> 00:16:35,240 Speaker 1: goal is to help resolve them. And obviously that's a 291 00:16:35,400 --> 00:16:38,120 Speaker 1: major requirement of being a good legislator. How do you 292 00:16:38,680 --> 00:16:43,000 Speaker 1: advance the principles that you are in support of the 293 00:16:43,080 --> 00:16:46,120 Speaker 1: positions that you think are really really important, but to 294 00:16:46,280 --> 00:16:48,640 Speaker 1: that in a legislative body where there's a lot of 295 00:16:48,680 --> 00:16:52,000 Speaker 1: different points of view, and uh, you know, that's an 296 00:16:52,040 --> 00:16:55,080 Speaker 1: aptitude the skill I think in this position that I 297 00:16:55,240 --> 00:16:57,760 Speaker 1: have that I've shown in Congress and also in the 298 00:16:57,840 --> 00:17:00,360 Speaker 1: State Senate. But you know, we really need, I think, 299 00:17:00,440 --> 00:17:03,280 Speaker 1: in Washington more of the Vermont way if we're going 300 00:17:03,320 --> 00:17:06,440 Speaker 1: to start making progress on what is really a toxic 301 00:17:06,640 --> 00:17:09,840 Speaker 1: political situation in DC right now. Wait, so, will you 302 00:17:09,960 --> 00:17:12,000 Speaker 1: tell me why they were mad at you? Though? I mean, 303 00:17:12,080 --> 00:17:15,560 Speaker 1: I'm sure it's hilarious now thirty years later or twenty 304 00:17:15,640 --> 00:17:19,200 Speaker 1: years later, you know, it could be everything from that 305 00:17:19,320 --> 00:17:23,000 Speaker 1: I didn't put a bill that say a senator wanted 306 00:17:23,119 --> 00:17:25,800 Speaker 1: on the floor the day that she or he wanted it, 307 00:17:26,680 --> 00:17:29,879 Speaker 1: or I didn't assign them to a committee they wanted, 308 00:17:30,040 --> 00:17:32,120 Speaker 1: or I didn't make them the chair of the committee 309 00:17:32,160 --> 00:17:34,359 Speaker 1: they wanted. Because all those things that in the moment 310 00:17:34,440 --> 00:17:38,600 Speaker 1: seem of great importance, but in retrospect really aren't. You know, 311 00:17:38,800 --> 00:17:41,280 Speaker 1: what's really important is that you stick to your values. 312 00:17:41,600 --> 00:17:44,320 Speaker 1: And uh, you know, from we're proud that we were 313 00:17:44,359 --> 00:17:46,560 Speaker 1: the first state to pass civil unions, in the first 314 00:17:46,600 --> 00:17:51,399 Speaker 1: state that legislated gay marriage, and uh, we've been working 315 00:17:51,440 --> 00:17:53,679 Speaker 1: hard in a single payer here in the state of Remont. 316 00:17:53,800 --> 00:17:56,399 Speaker 1: We've had in the legislature. These are all things that 317 00:17:56,520 --> 00:18:00,320 Speaker 1: I worked on throughout my political career, first in the 318 00:18:00,400 --> 00:18:02,880 Speaker 1: state senator of course, now in Washington. But the big 319 00:18:03,000 --> 00:18:05,159 Speaker 1: challenge for us right now, I mean, there's just no 320 00:18:05,280 --> 00:18:09,680 Speaker 1: getting around this democracies under assault. January six showed that 321 00:18:10,000 --> 00:18:13,840 Speaker 1: the shocking violence was terrible in the image of that 322 00:18:14,000 --> 00:18:18,159 Speaker 1: we're shocking. But after that happened at three in the morning, 323 00:18:18,720 --> 00:18:23,119 Speaker 1: when we returned, I was really upset and said that 324 00:18:23,200 --> 00:18:26,080 Speaker 1: a hundred and forty seven of my Republican colleagues voted 325 00:18:26,080 --> 00:18:29,879 Speaker 1: against the peaceful transfer of power. They were refusing to 326 00:18:30,480 --> 00:18:34,080 Speaker 1: validate the election of Joe Biden, who of course won 327 00:18:34,160 --> 00:18:37,879 Speaker 1: the election by seven million votes. And that is of 328 00:18:38,480 --> 00:18:42,000 Speaker 1: enormous threat to the well being of this country. And 329 00:18:42,480 --> 00:18:45,600 Speaker 1: in Vermont, I just feel so proud of how strong 330 00:18:45,880 --> 00:18:50,480 Speaker 1: our commitment is to the democratic tradition of the peaceful 331 00:18:50,520 --> 00:18:53,159 Speaker 1: transfer of power. And that's very much I think on 332 00:18:53,280 --> 00:18:56,840 Speaker 1: the agenda in this election. We've got to save our democracy. Yeah, 333 00:18:56,920 --> 00:19:00,280 Speaker 1: I wanted to talk to you about that because Mont 334 00:19:00,400 --> 00:19:05,400 Speaker 1: is this very blue, but very rural state, and I'm curious, 335 00:19:05,640 --> 00:19:11,320 Speaker 1: why do you think it's so different than other states 336 00:19:11,440 --> 00:19:14,840 Speaker 1: that are very rural that are largely read. What I 337 00:19:14,960 --> 00:19:18,080 Speaker 1: think is this, we have got a traditional town meetings 338 00:19:18,600 --> 00:19:23,639 Speaker 1: and that form of government, local government actually survives to 339 00:19:23,760 --> 00:19:27,760 Speaker 1: this day. And when you're in a small town and 340 00:19:27,840 --> 00:19:30,720 Speaker 1: I lived in a small town and you have fierce 341 00:19:30,800 --> 00:19:33,600 Speaker 1: debates about save the school budgets, something is very important 342 00:19:33,640 --> 00:19:36,359 Speaker 1: to everyone for what the school policies are, and you 343 00:19:36,480 --> 00:19:38,600 Speaker 1: have these fierce debates with your neighbors. And this is 344 00:19:38,600 --> 00:19:41,640 Speaker 1: an example that happened to me, and UH is somebody 345 00:19:41,680 --> 00:19:45,040 Speaker 1: are in disagreement with a few months later they're coaching 346 00:19:45,200 --> 00:19:48,000 Speaker 1: your son or daughter and literally and you then get 347 00:19:48,040 --> 00:19:52,440 Speaker 1: along and you understand that the folks that you disagree 348 00:19:52,520 --> 00:19:56,480 Speaker 1: with have the same desire to make your town a 349 00:19:56,560 --> 00:19:58,639 Speaker 1: good town, to make your school a good school. And 350 00:19:58,720 --> 00:20:01,119 Speaker 1: I think it's really developed a kind of created a 351 00:20:01,200 --> 00:20:04,960 Speaker 1: sense of of of community that helps us get through 352 00:20:05,119 --> 00:20:08,359 Speaker 1: some political differences. And there's a lot of respect in 353 00:20:08,440 --> 00:20:11,159 Speaker 1: common for people who listen more than they talk. And 354 00:20:11,280 --> 00:20:13,920 Speaker 1: I think this traditionally local government we've had has been 355 00:20:14,040 --> 00:20:17,200 Speaker 1: very very important. Also, the Republicans we've had in the 356 00:20:17,320 --> 00:20:20,000 Speaker 1: state have tended to be the old style Republicans. They 357 00:20:20,040 --> 00:20:23,560 Speaker 1: were fistically conservative, they like low taxes and less government, 358 00:20:23,720 --> 00:20:27,040 Speaker 1: but they were socially liberal and tolerant and also had 359 00:20:27,040 --> 00:20:29,960 Speaker 1: a concern for the environment. That's different than some of 360 00:20:30,720 --> 00:20:34,160 Speaker 1: what the Republican parties, certainly than the Trump Republican Party, 361 00:20:34,640 --> 00:20:37,840 Speaker 1: that's for sure. So there's been kind of a shared 362 00:20:38,200 --> 00:20:43,159 Speaker 1: a sense of responsibility here. That personal responsibility includes putting 363 00:20:43,280 --> 00:20:46,680 Speaker 1: some time and energy into building a local institution, and 364 00:20:46,760 --> 00:20:49,600 Speaker 1: it might be the local fire department, a small community bank, 365 00:20:49,840 --> 00:20:53,359 Speaker 1: the school board, but where there's an understanding that we 366 00:20:53,680 --> 00:20:56,080 Speaker 1: have to work together and we're all in it together. 367 00:20:56,640 --> 00:20:59,680 Speaker 1: That bond has been freed obviously in d C. Yeah, 368 00:21:00,000 --> 00:21:02,160 Speaker 1: I'm curious about that. Do you think there's a way 369 00:21:02,200 --> 00:21:05,840 Speaker 1: to sort of Vermont up politics on the federal level. Well, 370 00:21:05,920 --> 00:21:08,159 Speaker 1: we have to, that's my view, because the way it 371 00:21:08,320 --> 00:21:11,159 Speaker 1: is in Washington, especially, you know, with the ascendants of 372 00:21:11,280 --> 00:21:14,640 Speaker 1: Trump and then his grip on the Republican Party, where 373 00:21:14,720 --> 00:21:18,280 Speaker 1: he's transformed it into ineffect occult that basically does what 374 00:21:18,440 --> 00:21:21,480 Speaker 1: he wants. The best example of that was the hundred 375 00:21:21,520 --> 00:21:24,480 Speaker 1: and forty seven Republican members who voted for the first 376 00:21:24,560 --> 00:21:28,159 Speaker 1: time against the peaceful transfer of power. And we've got 377 00:21:28,200 --> 00:21:31,639 Speaker 1: a hundred candidates around the country for governor, for U. S. Senate, 378 00:21:31,760 --> 00:21:35,440 Speaker 1: for Congress, for Secretary of State who are advocating to 379 00:21:35,560 --> 00:21:39,200 Speaker 1: stop the steal movement of Trump. But you know, the 380 00:21:39,680 --> 00:21:43,320 Speaker 1: democratic principles that guide us and I think are still 381 00:21:43,400 --> 00:21:46,600 Speaker 1: embedded very much in Vermont. We need in Washington. You 382 00:21:46,800 --> 00:21:49,240 Speaker 1: listen more than you talk. You have fierce debates, but 383 00:21:49,560 --> 00:21:52,960 Speaker 1: just with some mutual respect, you understand that government has 384 00:21:53,000 --> 00:21:56,119 Speaker 1: to be about serving all the people, especially working people. 385 00:21:56,760 --> 00:22:00,239 Speaker 1: We need that. Senator Lahy, Senator sanators have worked very 386 00:22:00,320 --> 00:22:03,320 Speaker 1: hard in the way they present themselves and the issues 387 00:22:03,400 --> 00:22:06,159 Speaker 1: they advocate for, in the principles they stand for, and 388 00:22:06,880 --> 00:22:09,280 Speaker 1: I hope I can be considered to have done the 389 00:22:09,359 --> 00:22:12,200 Speaker 1: same thing. And my job as a US representative, and 390 00:22:12,280 --> 00:22:14,320 Speaker 1: I certainly hope to do that as the U. S. Senator. 391 00:22:14,680 --> 00:22:17,920 Speaker 1: We had Bernie on and he talked a lot about 392 00:22:18,280 --> 00:22:21,400 Speaker 1: single payer and single payer or you know, a kind 393 00:22:21,480 --> 00:22:26,960 Speaker 1: of healthcare, a sort of expanded Obamacare Medicare. It's wildly popular, 394 00:22:27,119 --> 00:22:30,080 Speaker 1: and it's especially popular with young people. Do you think 395 00:22:30,119 --> 00:22:33,560 Speaker 1: there are ways to sort of get things ahead if 396 00:22:33,680 --> 00:22:37,080 Speaker 1: you are elected to the Senate in January, I mean 397 00:22:37,200 --> 00:22:39,320 Speaker 1: in November, but then put it in January. Do you 398 00:22:39,440 --> 00:22:41,800 Speaker 1: think that there are like things you can do to 399 00:22:41,880 --> 00:22:44,359 Speaker 1: sort of move ahead the healthcare debate? Well, I do, 400 00:22:44,640 --> 00:22:47,280 Speaker 1: and we have to. I mean, here's what's happening with healthcare. 401 00:22:47,680 --> 00:22:50,800 Speaker 1: It's almost like a hazing for young people when they 402 00:22:50,920 --> 00:22:53,600 Speaker 1: first have to get their own healthcare. You know, we 403 00:22:53,720 --> 00:22:56,400 Speaker 1: made progress when younger people could stay on their parent 404 00:22:56,600 --> 00:23:01,359 Speaker 1: policies until age, but then it is impossible to figure 405 00:23:01,359 --> 00:23:04,600 Speaker 1: out how to get healthcare and how and it's not affordable. 406 00:23:04,680 --> 00:23:07,280 Speaker 1: And the biggest challenge we face is how expensive it is. 407 00:23:07,760 --> 00:23:10,560 Speaker 1: And you know, the whole point of single pair, which 408 00:23:10,600 --> 00:23:14,119 Speaker 1: I've long supported, is the notion that you're saying that 409 00:23:14,320 --> 00:23:17,560 Speaker 1: we've got to have a rational system where everybody is 410 00:23:17,600 --> 00:23:21,560 Speaker 1: going to participate in the outcome of a fair financing 411 00:23:21,640 --> 00:23:25,440 Speaker 1: system and a delivery system that really is seamless, you know. 412 00:23:25,600 --> 00:23:27,840 Speaker 1: And right now, anybody who has to get in the 413 00:23:27,920 --> 00:23:31,560 Speaker 1: healthcare system, they can go broke really quickly. The cost 414 00:23:31,680 --> 00:23:35,800 Speaker 1: of healthcare. I'll take prescription drugs for an example. They 415 00:23:35,920 --> 00:23:38,400 Speaker 1: just go up and up and up, way beyond inflation, 416 00:23:38,640 --> 00:23:42,120 Speaker 1: and it's putting access to healthcare out of reach even 417 00:23:42,200 --> 00:23:45,880 Speaker 1: for people with insurance because the premiums just keep spiking 418 00:23:46,000 --> 00:23:48,600 Speaker 1: and spiking. So the whole notion of single pair is 419 00:23:48,680 --> 00:23:50,960 Speaker 1: trying to get your arms around the cost so that 420 00:23:51,359 --> 00:23:54,240 Speaker 1: you can have access and that also you don't have 421 00:23:54,400 --> 00:23:58,080 Speaker 1: to be suffering under a bureaucratic regime where your doctors 422 00:23:58,119 --> 00:24:01,440 Speaker 1: are constantly hassled when they're trying to make decisions about 423 00:24:01,480 --> 00:24:03,920 Speaker 1: how best to manage your care. So I think we 424 00:24:04,080 --> 00:24:06,680 Speaker 1: have to the focus I think has to be a 425 00:24:06,800 --> 00:24:09,200 Speaker 1: lot on the cost. I was really happy to be 426 00:24:09,359 --> 00:24:13,280 Speaker 1: the sponsor of the prescription drug price negotiation legislation in 427 00:24:13,400 --> 00:24:16,880 Speaker 1: the House along with my my former colleague, the great 428 00:24:17,000 --> 00:24:20,240 Speaker 1: Elijah Cummings, who, as you know, passed away a few 429 00:24:20,400 --> 00:24:22,760 Speaker 1: years ago. But that's the first time we were able 430 00:24:22,840 --> 00:24:25,440 Speaker 1: to stand up to the pricing power of big pharma, 431 00:24:25,680 --> 00:24:27,240 Speaker 1: and we're going to be able to bring the cost 432 00:24:27,520 --> 00:24:31,880 Speaker 1: just as an example of insulin from like three hundred 433 00:24:31,920 --> 00:24:34,240 Speaker 1: bucks a month down to thirty five bucks a month 434 00:24:34,320 --> 00:24:37,000 Speaker 1: for folks on Medicare. But you know, young people are 435 00:24:37,400 --> 00:24:40,399 Speaker 1: coming into a world where the cost of healthcare is 436 00:24:40,440 --> 00:24:42,840 Speaker 1: going to be out of reach for their employers, for 437 00:24:42,960 --> 00:24:45,440 Speaker 1: them if they have to get their own policy. So 438 00:24:46,240 --> 00:24:48,320 Speaker 1: we have got to keep up the pressure. And we 439 00:24:48,440 --> 00:24:51,639 Speaker 1: had a big victory this year with price negotiation, so 440 00:24:51,760 --> 00:24:53,560 Speaker 1: I want to keep that up and work with Bernie 441 00:24:53,600 --> 00:24:57,840 Speaker 1: and others. The insulin this is like one of the 442 00:24:58,080 --> 00:25:00,960 Speaker 1: two things Chuck Shumer told me that he was going 443 00:25:01,000 --> 00:25:03,520 Speaker 1: to try to bring up before the mid terms. And 444 00:25:03,920 --> 00:25:09,800 Speaker 1: um also the codifying same sex marriage. Oberfeld, are you surprised, 445 00:25:09,920 --> 00:25:12,200 Speaker 1: I mean, you've been in Congress a long time, so 446 00:25:12,320 --> 00:25:17,160 Speaker 1: you existed pre Trump in the world where Republicans. You're 447 00:25:17,280 --> 00:25:19,720 Speaker 1: from the North, where Susan Collins comes from. Are you 448 00:25:19,920 --> 00:25:24,520 Speaker 1: surprised that these Republicans are just terrified to support nonpartisan 449 00:25:24,720 --> 00:25:27,440 Speaker 1: bells like this or I am you know, because a 450 00:25:27,560 --> 00:25:30,160 Speaker 1: lot of these things, when you really break them down, 451 00:25:30,480 --> 00:25:33,720 Speaker 1: they're good for the people that live in a red 452 00:25:33,800 --> 00:25:36,480 Speaker 1: district or live in a blue district. I mean, whether 453 00:25:36,600 --> 00:25:39,480 Speaker 1: you voted for Trump, you voted for Biden. If you're 454 00:25:39,520 --> 00:25:43,080 Speaker 1: dependent on insulin, is so many millions of Americans are, 455 00:25:43,600 --> 00:25:46,800 Speaker 1: and you're getting ripped off. You know, insulin cost about 456 00:25:46,840 --> 00:25:50,600 Speaker 1: ken bucks to manufacture, and many of these farmer companies 457 00:25:50,680 --> 00:25:53,240 Speaker 1: charged like three hundred bucks. The rip off is a 458 00:25:53,320 --> 00:25:57,399 Speaker 1: rip off. And uh, it just is upsetting to me 459 00:25:57,800 --> 00:26:01,240 Speaker 1: that we can't come together as members of Congress and 460 00:26:01,359 --> 00:26:04,400 Speaker 1: realize that, hey, if we do something that makes insulin 461 00:26:04,480 --> 00:26:07,560 Speaker 1: affordable for the people we represent, that's a good thing 462 00:26:07,840 --> 00:26:09,560 Speaker 1: and we don't have to be arguing about a lot 463 00:26:09,600 --> 00:26:12,560 Speaker 1: of other things. Let's get that done for the people 464 00:26:12,640 --> 00:26:15,480 Speaker 1: that are really suffering under these rip off prices. So 465 00:26:16,040 --> 00:26:19,040 Speaker 1: and take another example of infrastructure. You know, we get 466 00:26:19,119 --> 00:26:22,280 Speaker 1: safer roads and bridges, we get mass transit that works. 467 00:26:22,560 --> 00:26:25,720 Speaker 1: There's a lot of folks that benefit by that throughout America, 468 00:26:25,880 --> 00:26:28,320 Speaker 1: in red states and in blue states. There's such a 469 00:26:28,400 --> 00:26:31,920 Speaker 1: cult around Trump that it gets in the way of 470 00:26:32,040 --> 00:26:34,960 Speaker 1: helping a lot of the folks have voted for Trump. Yeah, no, 471 00:26:35,240 --> 00:26:38,400 Speaker 1: I mean that's the disconnect there. And I do think though, 472 00:26:38,440 --> 00:26:40,879 Speaker 1: and Bernie and I talked about this too. It is 473 00:26:41,040 --> 00:26:45,040 Speaker 1: like a failure on the part of the Democratic Party 474 00:26:45,119 --> 00:26:48,119 Speaker 1: that they can't explain. I mean, of course, obviously there 475 00:26:48,160 --> 00:26:51,320 Speaker 1: are many other factors here, and I'm not throwing Democrats 476 00:26:51,359 --> 00:26:53,240 Speaker 1: on the bus, but I'm just saying it does seem 477 00:26:53,320 --> 00:26:56,880 Speaker 1: like Democrats should be able to explain, like we want 478 00:26:56,920 --> 00:27:00,200 Speaker 1: to give you thirty five dollar insulin, they want give 479 00:27:00,280 --> 00:27:03,600 Speaker 1: tax cuts to corporations, like I mean, do you think 480 00:27:03,680 --> 00:27:07,119 Speaker 1: that fundamentally it's a sort of inability to connect with 481 00:27:07,240 --> 00:27:11,600 Speaker 1: these voters. Well, clearly. I mean Trump has a kind 482 00:27:11,680 --> 00:27:15,840 Speaker 1: of feral instinct for getting people riled up. He, as 483 00:27:15,920 --> 00:27:18,800 Speaker 1: you know, is a real divisive figure and he's he's 484 00:27:18,840 --> 00:27:23,719 Speaker 1: good at dividing people. And for many folks that Trump's uh, 485 00:27:23,880 --> 00:27:28,000 Speaker 1: the arguments that we may make about saying insulin, you know, 486 00:27:28,080 --> 00:27:31,920 Speaker 1: it's not just what Democrats do. It's really about what's 487 00:27:31,960 --> 00:27:35,320 Speaker 1: happening in our society. And I think Trump obviously is 488 00:27:35,359 --> 00:27:38,639 Speaker 1: a manifestation of that. But look at how social media 489 00:27:38,760 --> 00:27:42,080 Speaker 1: has helped create an environment where people believe these crazy 490 00:27:42,160 --> 00:27:45,800 Speaker 1: conspiracy theories that pop up literally every single day, And 491 00:27:45,920 --> 00:27:48,760 Speaker 1: of course Trump is writing on that. You know, he's 492 00:27:48,800 --> 00:27:51,879 Speaker 1: now starting to align himself with a lot of the 493 00:27:52,000 --> 00:27:55,639 Speaker 1: Q and on conspiracies. So when you're in that world 494 00:27:55,920 --> 00:27:59,480 Speaker 1: where people believe conspiracies and they're very powerful, and they 495 00:27:59,560 --> 00:28:02,880 Speaker 1: get ampfied with social media, the facts don't matter. It's 496 00:28:02,960 --> 00:28:04,840 Speaker 1: just you're on one side or you're on the other. 497 00:28:05,119 --> 00:28:07,239 Speaker 1: But you know, it's why I do think that an 498 00:28:07,280 --> 00:28:12,000 Speaker 1: approach where you're reaching out on practical common ground. You know, 499 00:28:12,080 --> 00:28:14,480 Speaker 1: I mentioned the Vermont Way a little bit earlier, but 500 00:28:14,600 --> 00:28:18,320 Speaker 1: let me give an example. It's a very prosaic example. Um, 501 00:28:18,640 --> 00:28:22,639 Speaker 1: the FDA years ago came out suddenly with this regulation 502 00:28:22,760 --> 00:28:26,840 Speaker 1: that cheesemakers couldn't age their cheese on wood boards. That 503 00:28:26,840 --> 00:28:31,080 Speaker 1: would have been devastating in Vermont. We have some great Yeah, 504 00:28:31,280 --> 00:28:33,560 Speaker 1: there was a facility in upstate New Yark. It was 505 00:28:33,600 --> 00:28:37,760 Speaker 1: contaminated and the f d A incorrectly attributed to the 506 00:28:37,800 --> 00:28:40,200 Speaker 1: wood boards when it was in fact just really bad 507 00:28:40,280 --> 00:28:43,120 Speaker 1: sanitation practices all around. Well, this is gonna put a 508 00:28:43,160 --> 00:28:46,120 Speaker 1: lot of cheesemakers in Vermont out of work. And a 509 00:28:46,240 --> 00:28:50,240 Speaker 1: cheesemaker came into my office, a great cheese company, Jasper 510 00:28:50,320 --> 00:28:53,080 Speaker 1: Hill Cheese Award winning cheese, and said, hey, we're going 511 00:28:53,120 --> 00:28:55,600 Speaker 1: out of business. How do I fix this? Well, you 512 00:28:55,680 --> 00:28:58,840 Speaker 1: know who else has got a lot of cheese? Paul 513 00:28:58,960 --> 00:29:02,680 Speaker 1: Ryan and Wisconsin. So I got down to Ryan, and 514 00:29:02,880 --> 00:29:05,240 Speaker 1: you know, I knew him from being around and we 515 00:29:05,400 --> 00:29:09,680 Speaker 1: totally disagreeentious about everything, but we're cordial. And I said, Paul, 516 00:29:10,400 --> 00:29:14,239 Speaker 1: we got us a cheese problem. And he was all 517 00:29:14,320 --> 00:29:16,200 Speaker 1: ears at that point because of course he wants to 518 00:29:16,280 --> 00:29:18,680 Speaker 1: help Wisconsin cheese and it would have been really bad 519 00:29:18,760 --> 00:29:22,400 Speaker 1: for them. So we got together and contacted the FDA 520 00:29:22,520 --> 00:29:24,320 Speaker 1: and the fact that you had he was then the 521 00:29:24,400 --> 00:29:27,720 Speaker 1: chair of the Budget Committee, Republican and me a Democrat, 522 00:29:27,840 --> 00:29:30,600 Speaker 1: and we're calling together and made it very clear this 523 00:29:30,880 --> 00:29:33,920 Speaker 1: was not gonna be anything acceptable to members of Congress. 524 00:29:34,200 --> 00:29:36,320 Speaker 1: We're able to get that regulation that would have been 525 00:29:36,400 --> 00:29:41,960 Speaker 1: devastating to cheesemakers in Wisconsin and cheesemakers and Vermont. We 526 00:29:42,040 --> 00:29:44,360 Speaker 1: got it, We got rid of it. And you know, 527 00:29:44,400 --> 00:29:47,440 Speaker 1: it was a way of working together where the starting 528 00:29:47,560 --> 00:29:52,040 Speaker 1: point was not arguing ideology, it was talking about practical 529 00:29:52,200 --> 00:29:56,920 Speaker 1: needs that people in Wisconsin and Vermont chair, you know, 530 00:29:57,480 --> 00:30:01,160 Speaker 1: reasonable rules so cheesemakers could thrive. But that's a kind 531 00:30:01,200 --> 00:30:04,720 Speaker 1: of approach that is almost to be an attacked. It's 532 00:30:04,760 --> 00:30:06,680 Speaker 1: like you have to take a pledge of allegiance if 533 00:30:07,160 --> 00:30:10,840 Speaker 1: you're a Republican candidate now that you agree that Donald 534 00:30:10,880 --> 00:30:13,840 Speaker 1: Trump's selection was stolen. I mean, if that's the starting point, 535 00:30:14,520 --> 00:30:16,960 Speaker 1: you're not gonna make any progress on that. And it 536 00:30:17,200 --> 00:30:20,200 Speaker 1: really gets in the way of us using the political 537 00:30:20,320 --> 00:30:22,720 Speaker 1: system as it's supposed to be used, and that's to 538 00:30:22,840 --> 00:30:27,120 Speaker 1: help us as a society with lots of conflicts. You know, 539 00:30:27,200 --> 00:30:30,000 Speaker 1: how do we solve climate change, big debate, how do 540 00:30:30,080 --> 00:30:32,960 Speaker 1: we get affordable healthcare? Big debate, how do we get 541 00:30:33,640 --> 00:30:37,880 Speaker 1: workforce training? Big debate from making any progress. And then, 542 00:30:38,200 --> 00:30:40,680 Speaker 1: by the way, on top of that, you've got a 543 00:30:40,760 --> 00:30:44,360 Speaker 1: Supreme Court that's you know, lock Stock and Barrel influenced 544 00:30:44,400 --> 00:30:48,040 Speaker 1: by the Republican the right wing of the Republican Party 545 00:30:48,120 --> 00:30:51,520 Speaker 1: with that extreme conservative majority, that is starting to go 546 00:30:51,680 --> 00:30:56,600 Speaker 1: after fundamental rights that people have enjoyed in this country. 547 00:30:56,760 --> 00:30:59,920 Speaker 1: And of course the Job's decision is most significant where 548 00:31:00,200 --> 00:31:02,360 Speaker 1: it's the first time I can think of where the 549 00:31:02,680 --> 00:31:06,720 Speaker 1: United States Supreme Court has taken a right away as 550 00:31:06,760 --> 00:31:10,840 Speaker 1: opposed to expanded access to a right for Americans. So 551 00:31:11,400 --> 00:31:14,760 Speaker 1: we've got to really deal with that and restore Jesse 552 00:31:14,880 --> 00:31:16,600 Speaker 1: and I were actually talking about this. One of the 553 00:31:16,720 --> 00:31:20,040 Speaker 1: things that because you're a very rural state, you guys 554 00:31:20,240 --> 00:31:24,000 Speaker 1: are have a pretty loose I don't want to say loose. 555 00:31:24,280 --> 00:31:26,560 Speaker 1: A lot of gun rights owners who are very pro 556 00:31:26,840 --> 00:31:29,520 Speaker 1: the rights of bear arms talk to us about the guns. 557 00:31:29,800 --> 00:31:32,360 Speaker 1: You're right, we've been very fortunate and ver Mint, I mean, 558 00:31:32,640 --> 00:31:36,040 Speaker 1: we have not had gun violence. That's starting to change, okay, 559 00:31:36,400 --> 00:31:39,920 Speaker 1: But we had a rural tradition where owning guns and 560 00:31:40,040 --> 00:31:44,000 Speaker 1: gun use was really about hunting, it was about target shooting. 561 00:31:44,120 --> 00:31:46,760 Speaker 1: It was about families going to deer camp and teaching 562 00:31:46,800 --> 00:31:49,920 Speaker 1: their kids safe use of firearms and being out in 563 00:31:49,960 --> 00:31:54,640 Speaker 1: the woods and being in nature. And we fortunately again 564 00:31:54,720 --> 00:31:57,400 Speaker 1: this is starting to change, really have very very little 565 00:31:57,600 --> 00:32:01,440 Speaker 1: gun violence. That's starting to change. And of course the 566 00:32:01,640 --> 00:32:04,360 Speaker 1: n r A in the old days was an organization 567 00:32:04,520 --> 00:32:07,520 Speaker 1: like locally in Vermont where they taught gun safety, you know, 568 00:32:07,640 --> 00:32:10,479 Speaker 1: the n r A under Winning Lapierre UH is all 569 00:32:10,560 --> 00:32:15,200 Speaker 1: about supporting gun manufacturers and assault assault weapons sales. So 570 00:32:15,520 --> 00:32:18,080 Speaker 1: it's starting to change. And in fact, we went from 571 00:32:18,120 --> 00:32:20,600 Speaker 1: being a state that had no gun safety laws at 572 00:32:20,680 --> 00:32:25,960 Speaker 1: all to passing laws that are requiring a background check 573 00:32:26,600 --> 00:32:29,800 Speaker 1: UH in our Republican governor who had a a rating 574 00:32:29,840 --> 00:32:34,400 Speaker 1: from the n r A among others, supported that gun legislation, 575 00:32:34,480 --> 00:32:37,360 Speaker 1: and that happened. You know, right after park Land, we 576 00:32:37,520 --> 00:32:40,520 Speaker 1: had a school here in Vermont where there was a 577 00:32:40,680 --> 00:32:44,440 Speaker 1: threat by a former student to take a rifle assault 578 00:32:44,520 --> 00:32:47,640 Speaker 1: weapon and come to a school and get the biggest 579 00:32:47,720 --> 00:32:50,600 Speaker 1: body count. Yeah, and that was really shocking. It was 580 00:32:50,680 --> 00:32:52,800 Speaker 1: stopped because the police found out about it. They went 581 00:32:52,840 --> 00:32:55,200 Speaker 1: to his house. W was out target shooting, but it was. 582 00:32:55,640 --> 00:32:58,840 Speaker 1: It was a near incident of catastrophic consequences and it 583 00:32:58,920 --> 00:33:01,320 Speaker 1: really shook us up here. And we can move towards 584 00:33:01,680 --> 00:33:05,200 Speaker 1: passing some kind of safety laws. Yeah, so interesting. Thank 585 00:33:05,240 --> 00:33:08,040 Speaker 1: you so much for joining us. Peter Wolch, thank you 586 00:33:08,200 --> 00:33:09,920 Speaker 1: very much. It's really nice to be with you. And 587 00:33:10,040 --> 00:33:14,120 Speaker 1: keep up your good work. Dad Roberts, writes the newsletter 588 00:33:14,320 --> 00:33:21,360 Speaker 1: and host the podcast Volts. Welcome to Fast Politics. Fancy 589 00:33:21,440 --> 00:33:26,640 Speaker 1: your podcast. Congratulations, Thank you very much, very excited to 590 00:33:26,840 --> 00:33:30,440 Speaker 1: have you here. The first of many segments. I hope 591 00:33:30,480 --> 00:33:33,480 Speaker 1: with you because you are so needed in this brave 592 00:33:33,640 --> 00:33:36,600 Speaker 1: new world. First, I want to talk to you about 593 00:33:36,840 --> 00:33:39,920 Speaker 1: it does seem like the Biden administration is way more 594 00:33:40,040 --> 00:33:43,560 Speaker 1: interested in climate than any administration we've ever had, for 595 00:33:43,720 --> 00:33:46,560 Speaker 1: whatever that's worth. Yeah, I think the right way to 596 00:33:46,640 --> 00:33:51,960 Speaker 1: say that is that the activist and advocate effort to 597 00:33:52,240 --> 00:33:55,880 Speaker 1: push climate to the top of the democratic agenda succeeded. 598 00:33:56,000 --> 00:33:58,960 Speaker 1: I don't think this is coming from Biden's part particularly. 599 00:33:59,080 --> 00:34:02,560 Speaker 1: I think he's just he's legendarily reads the room and 600 00:34:02,680 --> 00:34:05,560 Speaker 1: reads the party and tries to place himself in kind 601 00:34:05,600 --> 00:34:07,360 Speaker 1: of the center of it. And this is what he 602 00:34:07,400 --> 00:34:09,520 Speaker 1: sees now when he looks out at the party. So yeah, 603 00:34:09,600 --> 00:34:12,800 Speaker 1: I think that's really an important I mean, we're taping 604 00:34:12,880 --> 00:34:16,040 Speaker 1: this on the day that Biden just pardoned a lot 605 00:34:16,239 --> 00:34:19,399 Speaker 1: of people who were in jail from marijuana crimes. Which 606 00:34:19,480 --> 00:34:23,200 Speaker 1: it's hard to imagine that someone who's seventy nine has 607 00:34:23,280 --> 00:34:26,759 Speaker 1: decided that's like the where it's at. But clearly, I 608 00:34:26,840 --> 00:34:29,239 Speaker 1: think one of the really good things about Biden is 609 00:34:29,360 --> 00:34:33,040 Speaker 1: that they're reactive and they listen to what the people want. Yeah. 610 00:34:33,120 --> 00:34:35,640 Speaker 1: I mean, let's let's just pause and note that the 611 00:34:35,760 --> 00:34:40,880 Speaker 1: world is choka block with old white men who refused 612 00:34:40,960 --> 00:34:43,920 Speaker 1: to change the way they think based on when they 613 00:34:43,960 --> 00:34:46,680 Speaker 1: hear young people saying so, I mean, honest to God, 614 00:34:46,800 --> 00:34:49,920 Speaker 1: to find an old white guy who's like, who's willing 615 00:34:50,000 --> 00:34:53,520 Speaker 1: to listen and change and go with the you know, 616 00:34:53,640 --> 00:34:56,880 Speaker 1: go with the currents. That's a remarkable thing. Yeah, I mean, 617 00:34:56,960 --> 00:34:59,400 Speaker 1: I think it's amazing and he should be given a 618 00:34:59,440 --> 00:35:01,520 Speaker 1: lot of credib for that. I want to start by 619 00:35:01,560 --> 00:35:05,279 Speaker 1: talking about the hurricane, and then there are many hurricane 620 00:35:05,400 --> 00:35:08,560 Speaker 1: questions I have. So the first is the thinking here 621 00:35:08,640 --> 00:35:11,480 Speaker 1: is this is definitive proof that climate change. I mean, 622 00:35:11,640 --> 00:35:13,920 Speaker 1: not that we need it anymore. But what do you 623 00:35:14,040 --> 00:35:17,279 Speaker 1: say to that? I mean, no, no single hurricane is 624 00:35:17,280 --> 00:35:20,120 Speaker 1: going to prove or disproved climate change. I think. I mean, 625 00:35:20,320 --> 00:35:22,880 Speaker 1: ten years ago, there's a big a lot of arguments 626 00:35:23,040 --> 00:35:25,840 Speaker 1: in the press and in scientific circles about whether you 627 00:35:25,920 --> 00:35:29,840 Speaker 1: could attribute a specific event to climate change, whether you 628 00:35:29,880 --> 00:35:32,640 Speaker 1: could say this event was caused by or made more 629 00:35:32,719 --> 00:35:37,279 Speaker 1: likely by climate change. Since then, the science of attribution, 630 00:35:37,400 --> 00:35:41,560 Speaker 1: as it's called, has advanced a lot, and now yes, 631 00:35:41,920 --> 00:35:46,640 Speaker 1: scientists are quite confident saying, you know, this climate change 632 00:35:46,760 --> 00:35:51,080 Speaker 1: made this you know whatever more likely more likely. So 633 00:35:51,320 --> 00:35:52,880 Speaker 1: at this point I think we should sort of move 634 00:35:53,000 --> 00:35:55,960 Speaker 1: past this, like, is this storm climate change? Is that 635 00:35:56,120 --> 00:35:59,520 Speaker 1: storm climate change? Like it's all, it's all climate change, 636 00:35:59,560 --> 00:36:01,880 Speaker 1: It's all it is the new climate you know, like 637 00:36:02,000 --> 00:36:04,879 Speaker 1: get used to it. Like whether whether a particular one 638 00:36:05,440 --> 00:36:10,359 Speaker 1: is is mechanically traceable to particular climate changes, I think 639 00:36:10,520 --> 00:36:13,719 Speaker 1: is largely academic at this point, right, right, But it 640 00:36:13,840 --> 00:36:17,960 Speaker 1: does seem like this is the worst one in how 641 00:36:18,040 --> 00:36:20,440 Speaker 1: many years? I mean, just talk to us about this 642 00:36:20,520 --> 00:36:24,080 Speaker 1: sort of math of it. Well, they're getting more severe 643 00:36:24,239 --> 00:36:28,560 Speaker 1: because of warming. You know, hurricanes gain strength when they 644 00:36:28,760 --> 00:36:32,680 Speaker 1: when they pass over warm waters, and a warming atmosphere 645 00:36:32,800 --> 00:36:38,360 Speaker 1: means more warm waters, so we get more intense storms, 646 00:36:38,719 --> 00:36:42,879 Speaker 1: so you know, and like in Florida in particular, I mean, 647 00:36:43,440 --> 00:36:47,280 Speaker 1: it has bad storms already, It has flooding problems already, 648 00:36:47,920 --> 00:36:50,600 Speaker 1: it has sea level rise problems already, all of that 649 00:36:51,719 --> 00:36:55,840 Speaker 1: even before you think about, uh, climate change. So you know, 650 00:36:56,200 --> 00:36:58,200 Speaker 1: like you could say this should be the storm that 651 00:36:58,239 --> 00:37:01,200 Speaker 1: should wake Florida up, but you really, they should have 652 00:37:01,280 --> 00:37:04,440 Speaker 1: been awake a long time ago. And they keep alleging 653 00:37:04,520 --> 00:37:08,480 Speaker 1: Republicans so obviously they're not. Climate change is not high 654 00:37:08,520 --> 00:37:11,120 Speaker 1: on their mind. Yeah, I mean, I guess it's not 655 00:37:11,280 --> 00:37:13,880 Speaker 1: a not a priority. And there used to be this 656 00:37:14,000 --> 00:37:19,839 Speaker 1: sort of sentiment that enough bad enough disasters would change 657 00:37:19,880 --> 00:37:23,279 Speaker 1: people's minds, right, Like, disasters got bad enough, people would 658 00:37:23,320 --> 00:37:25,640 Speaker 1: wake up to climate change. But I think one thing 659 00:37:25,719 --> 00:37:30,000 Speaker 1: we've we've learned in the past, however many years, is 660 00:37:30,120 --> 00:37:34,640 Speaker 1: that when people are embedded in a worldview, events don't 661 00:37:34,880 --> 00:37:37,640 Speaker 1: don't don't change them. They just integrate that into the 662 00:37:37,680 --> 00:37:41,319 Speaker 1: world view. So so you know, there's no there's been 663 00:37:41,600 --> 00:37:43,279 Speaker 1: quite a few studies of this at this point, there's 664 00:37:43,320 --> 00:37:48,799 Speaker 1: no real evidence that storms change the broad polities views 665 00:37:48,840 --> 00:37:51,200 Speaker 1: on climate change. Yeah, so it's sort of a fun 666 00:37:51,360 --> 00:37:54,680 Speaker 1: nothing matters, and we're all going to die. Where are 667 00:37:54,760 --> 00:37:56,680 Speaker 1: you and I get together and we get depressed, let's 668 00:37:56,719 --> 00:37:59,200 Speaker 1: not get to press. We're gonna be happy while we die, 669 00:37:59,640 --> 00:38:02,480 Speaker 1: don't we feel like this interesting thing of that, how 670 00:38:03,000 --> 00:38:05,759 Speaker 1: the zoomers are shaming the celebrities with their jets as 671 00:38:05,800 --> 00:38:08,920 Speaker 1: one of the more interesting trajectories though, of that, the 672 00:38:09,040 --> 00:38:12,200 Speaker 1: thing of a single zoomer shaming a single celebrity is 673 00:38:12,480 --> 00:38:18,160 Speaker 1: such crack rock to sort of celebrity journalism that that 674 00:38:18,280 --> 00:38:22,680 Speaker 1: I'm weary about just this this one or two things 675 00:38:22,760 --> 00:38:25,239 Speaker 1: getting way over hyped. Like if you're if you're a 676 00:38:25,320 --> 00:38:28,240 Speaker 1: celebrity and you have private jets, are you really losing 677 00:38:28,239 --> 00:38:30,719 Speaker 1: a lot of sleep thinking about that? Like, I don't know, 678 00:38:31,040 --> 00:38:33,440 Speaker 1: I would argue that I think Taylor Swift is running 679 00:38:33,520 --> 00:38:36,440 Speaker 1: scared from it. I mean, but it's also it was 680 00:38:36,560 --> 00:38:39,680 Speaker 1: never a thing that even existed three years ago. I mean, 681 00:38:39,760 --> 00:38:43,160 Speaker 1: it's like a new destructive trend. I'm not sure. I 682 00:38:43,200 --> 00:38:45,920 Speaker 1: mean I feel like the math on it won't you know, 683 00:38:46,280 --> 00:38:52,160 Speaker 1: it's at best a slide show. The voluntary non private 684 00:38:52,640 --> 00:38:57,759 Speaker 1: flying by concerned celebrities. It's such a silly I mean, 685 00:38:57,840 --> 00:38:59,360 Speaker 1: this is the kind of thing the media loves. But 686 00:38:59,520 --> 00:39:02,120 Speaker 1: like in terms of greenhouse gases, what I would like 687 00:39:02,200 --> 00:39:04,640 Speaker 1: to see is some celebrities come out and be pro trained. 688 00:39:04,800 --> 00:39:07,840 Speaker 1: Let's get some Let's get a train network, train network, 689 00:39:07,920 --> 00:39:10,240 Speaker 1: be positive. I'd love to talk to you about trains, 690 00:39:10,280 --> 00:39:14,200 Speaker 1: because that wasn't early you know, Biden love trains. I mean, 691 00:39:14,280 --> 00:39:18,879 Speaker 1: I don't know where we are with that rather. Yeah, 692 00:39:19,280 --> 00:39:21,880 Speaker 1: so I mean there definitely are some you know, and 693 00:39:22,000 --> 00:39:25,120 Speaker 1: the idea of a high speed train. We have to wonder, 694 00:39:25,400 --> 00:39:29,399 Speaker 1: like how much of that has been derailed by these 695 00:39:29,440 --> 00:39:32,480 Speaker 1: sort of like Elon mush is going to build a 696 00:39:32,960 --> 00:39:37,000 Speaker 1: hyper loop, which is like a tunnel. I mean, there's 697 00:39:37,040 --> 00:39:40,040 Speaker 1: certainly has been like a fair amount of like monorail 698 00:39:40,120 --> 00:39:43,719 Speaker 1: guy happening with our train planning. Yeah. One of the 699 00:39:43,880 --> 00:39:48,920 Speaker 1: weird twists are darkest timeline has taken lately, is all 700 00:39:48,960 --> 00:39:53,080 Speaker 1: of a sudden, all these tech bros coming out against 701 00:39:53,560 --> 00:40:00,960 Speaker 1: public transit in favor of these ludicrous goofball schemes like um, 702 00:40:02,280 --> 00:40:06,239 Speaker 1: like the tunnel or the little flying the little flying cards, 703 00:40:06,280 --> 00:40:09,359 Speaker 1: a little quad cots or whatever. That's another dystopia that's 704 00:40:09,360 --> 00:40:12,200 Speaker 1: headed our way rapidly. Yeah. I did really did not 705 00:40:12,400 --> 00:40:14,560 Speaker 1: see that coming. It's just one more disappointment from the 706 00:40:14,640 --> 00:40:18,719 Speaker 1: tech bro sector after a long series. Yeah. You know, 707 00:40:18,880 --> 00:40:21,400 Speaker 1: it's so interesting because you know, I'm married to a 708 00:40:21,440 --> 00:40:24,200 Speaker 1: venture capitalist and he's always like, you know, we're going 709 00:40:24,239 --> 00:40:26,440 Speaker 1: to figure and he's a good one. I mean he 710 00:40:26,520 --> 00:40:29,400 Speaker 1: works in education. It's different, but he still is like 711 00:40:29,600 --> 00:40:33,120 Speaker 1: commerce can fix this and that. And I'm like, honey, 712 00:40:33,560 --> 00:40:37,000 Speaker 1: I'm like, you know, I was scared enough about getting 713 00:40:37,040 --> 00:40:39,920 Speaker 1: hit by a car. Now there's like the added anxiety 714 00:40:39,920 --> 00:40:42,000 Speaker 1: of getting hit by a plane. This is what I 715 00:40:42,040 --> 00:40:44,320 Speaker 1: don't get about that about that mentality is sort of 716 00:40:44,360 --> 00:40:47,839 Speaker 1: like man will overcome, the market will figure this out. All. 717 00:40:48,440 --> 00:40:52,000 Speaker 1: One thing we've learned about clean energy, and specifically about 718 00:40:52,000 --> 00:40:56,160 Speaker 1: greenhouse gasses, is that it's really all about infrastructure. Infrastructure 719 00:40:56,440 --> 00:41:01,279 Speaker 1: shapes what markets exist in, what markets can exist, They 720 00:41:01,440 --> 00:41:04,320 Speaker 1: shape what options you have, and and infrastructure is not 721 00:41:04,480 --> 00:41:08,360 Speaker 1: something that private markets build. So I mean the involvement 722 00:41:08,400 --> 00:41:10,800 Speaker 1: of public policy. And this is so clear to everyone 723 00:41:10,880 --> 00:41:12,720 Speaker 1: who has thought about it for more than five minutes. 724 00:41:12,719 --> 00:41:15,560 Speaker 1: It's very frustrating to sort of stumble upon this sort 725 00:41:15,560 --> 00:41:18,280 Speaker 1: of old like, oh, you know, clever people will figure 726 00:41:18,280 --> 00:41:20,200 Speaker 1: that out. It's true, clever people are figuring out a 727 00:41:20,239 --> 00:41:22,040 Speaker 1: lot of cool things, like they're they're hard at work. 728 00:41:22,280 --> 00:41:24,759 Speaker 1: Market is doing great things, but ultimately it comes back 729 00:41:24,800 --> 00:41:29,000 Speaker 1: to infrastructure and public policy that shapes all the possibilities 730 00:41:29,360 --> 00:41:32,360 Speaker 1: of what markets can and can do. Government is providing 731 00:41:32,400 --> 00:41:36,600 Speaker 1: subsidies for a whole lot of shitty crap like coal. Indeed, 732 00:41:36,800 --> 00:41:39,359 Speaker 1: and if you want to be positive, you don't want 733 00:41:39,400 --> 00:41:41,399 Speaker 1: us to be to get each other depressed. We could 734 00:41:41,400 --> 00:41:45,200 Speaker 1: talk about just the sort of extraordinary renaissance of federal 735 00:41:45,280 --> 00:41:47,960 Speaker 1: climate policy that we're living through right now, which is 736 00:41:48,040 --> 00:41:52,040 Speaker 1: going to invest billions, hundreds of billions of dollars in 737 00:41:52,160 --> 00:41:56,799 Speaker 1: the right things. Finally, there's plenty of reasons for for positivity. 738 00:41:57,480 --> 00:42:00,319 Speaker 1: Talk to me about California. I'm so curious. I mean, 739 00:42:00,400 --> 00:42:03,200 Speaker 1: we certainly are seeing a lot of a lot of states, 740 00:42:03,280 --> 00:42:07,120 Speaker 1: or at least California and Texas, which are both having 741 00:42:07,200 --> 00:42:10,759 Speaker 1: problems with their grids for different reasons. It's complicated, there's 742 00:42:10,800 --> 00:42:12,600 Speaker 1: lots of different problems you can have. I mean, California 743 00:42:12,680 --> 00:42:14,520 Speaker 1: is having a problem that lots of grids have a 744 00:42:14,600 --> 00:42:18,640 Speaker 1: similar problem ironically to Puerto Rico's grid, which is a 745 00:42:18,760 --> 00:42:22,080 Speaker 1: lot of very long distance power lines that were put 746 00:42:22,160 --> 00:42:26,080 Speaker 1: in a long long time ago and have not been 747 00:42:26,719 --> 00:42:31,520 Speaker 1: well maintained or monitored. Because this is just a slightly 748 00:42:32,280 --> 00:42:35,440 Speaker 1: geeky side note, the structure of utilities is they make 749 00:42:35,520 --> 00:42:40,319 Speaker 1: a return when they invest in new stuff, new infrastructure, 750 00:42:40,480 --> 00:42:43,480 Speaker 1: new build. They do not get a rate of return 751 00:42:43,800 --> 00:42:47,680 Speaker 1: on money they spend on maintenance. So that's just like 752 00:42:47,960 --> 00:42:52,080 Speaker 1: it's inevitable that that sits down through the corporate culture 753 00:42:52,239 --> 00:42:55,080 Speaker 1: and at every level people are going to favor the 754 00:42:55,160 --> 00:42:57,719 Speaker 1: new thing over maintenance. And so you get what you 755 00:42:57,840 --> 00:43:01,120 Speaker 1: have in California, which is just hundreds of thousands of 756 00:43:01,400 --> 00:43:05,359 Speaker 1: miles of lines that have not been they were built 757 00:43:05,400 --> 00:43:07,520 Speaker 1: in like the twenties or the forties or the fifties 758 00:43:08,080 --> 00:43:11,360 Speaker 1: and are literally like their metal parts have begun to 759 00:43:11,560 --> 00:43:14,439 Speaker 1: like where through and they're just falling apart. And every 760 00:43:14,480 --> 00:43:17,120 Speaker 1: time what that happens, there's a fire. So that's a 761 00:43:17,239 --> 00:43:20,840 Speaker 1: problem in California. Texas has its own problem in that 762 00:43:21,200 --> 00:43:25,240 Speaker 1: it refuses to hook itself up to the larger national grid, 763 00:43:26,120 --> 00:43:29,560 Speaker 1: so it's stranded. It's basically an island. It might it 764 00:43:29,680 --> 00:43:33,600 Speaker 1: operates as though it were a large island, which is fine. 765 00:43:33,680 --> 00:43:35,520 Speaker 1: It's from big island. It's got a lot of power. 766 00:43:35,600 --> 00:43:38,440 Speaker 1: But like if there's a crunch on natural gas, if 767 00:43:38,520 --> 00:43:42,440 Speaker 1: natural gas supplies you know, get super expensive like they 768 00:43:42,480 --> 00:43:45,600 Speaker 1: have recently, or if or if supplies freeze up in 769 00:43:45,719 --> 00:43:48,640 Speaker 1: a in a cold snap like they did a few 770 00:43:48,719 --> 00:43:52,560 Speaker 1: years ago, you can't bring in power from outside your states. 771 00:43:52,600 --> 00:43:54,799 Speaker 1: So you're just kind of stuck. And of course, if 772 00:43:54,840 --> 00:43:57,960 Speaker 1: you're in Texas, which is extremely rid politically, you can't 773 00:43:58,040 --> 00:44:01,120 Speaker 1: tell Texans the truth about what's opening. You can't ask 774 00:44:01,160 --> 00:44:04,160 Speaker 1: them to conserve because God knows, that's Marxism, you know, 775 00:44:04,360 --> 00:44:07,359 Speaker 1: you can't. You can't tell them we need to hook 776 00:44:07,440 --> 00:44:09,640 Speaker 1: up to the outside grid because that's mark Marxism. You 777 00:44:09,719 --> 00:44:13,520 Speaker 1: can't say, you know, we need distributed rooftop solar in 778 00:44:13,640 --> 00:44:16,439 Speaker 1: batteries so you can have more resilience and and last 779 00:44:16,560 --> 00:44:19,320 Speaker 1: through these blackouts at least in a healthier way, because 780 00:44:19,360 --> 00:44:22,200 Speaker 1: that is also Marxism. So they're trapped in a cage 781 00:44:22,239 --> 00:44:24,640 Speaker 1: of their own making. Yeah, I mean, they want this 782 00:44:24,840 --> 00:44:28,239 Speaker 1: sort of independence that they don't have. Right. There is 783 00:44:28,880 --> 00:44:35,759 Speaker 1: no coherent positive argument for independence for your electricity grid. 784 00:44:36,000 --> 00:44:38,840 Speaker 1: It make it just makes no sense, like cooking. The 785 00:44:39,400 --> 00:44:43,520 Speaker 1: larger an area a grid covers, the more reliable it is, 786 00:44:43,880 --> 00:44:47,320 Speaker 1: the cheaper the power is, the cleaner the power is. 787 00:44:47,360 --> 00:44:50,719 Speaker 1: There's just the only reason they do it is to 788 00:44:50,840 --> 00:44:55,759 Speaker 1: avoid federal jurisdiction. Is to avoid for having jurisdiction over 789 00:44:56,560 --> 00:45:01,680 Speaker 1: over their lines, which is just pure cussid idiot stubbornness 790 00:45:01,760 --> 00:45:04,839 Speaker 1: that is doing nothing but hurting them. We're seeing as 791 00:45:05,120 --> 00:45:07,520 Speaker 1: we get these extreme temperatures, and we won't see it 792 00:45:07,640 --> 00:45:11,320 Speaker 1: now until the winter. But my dad lives in Palm Springs, 793 00:45:11,360 --> 00:45:14,520 Speaker 1: so we know a lot about this. That the grids 794 00:45:14,800 --> 00:45:19,200 Speaker 1: can't actually handle the demand. Well, there's a lot of 795 00:45:19,560 --> 00:45:24,400 Speaker 1: different pieces going there. I mean, the grid can handle 796 00:45:24,480 --> 00:45:29,200 Speaker 1: the demand if demand is properly managed, and if the 797 00:45:29,280 --> 00:45:35,120 Speaker 1: grid itself is properly managed. A dilapidated, falling apart, poorly 798 00:45:35,280 --> 00:45:40,239 Speaker 1: understood poorly maintained grid can't handle demand. But there's no 799 00:45:40,960 --> 00:45:44,399 Speaker 1: there's no technological limitation here. This is all just bad 800 00:45:44,480 --> 00:45:49,319 Speaker 1: practice and bad institutions and bad economic incentives here. There's 801 00:45:49,360 --> 00:45:55,000 Speaker 1: no technological reason we couldn't have robust, healthy, clean grids. 802 00:45:55,400 --> 00:45:58,560 Speaker 1: They have them in other places. It's interesting. So Connecticut 803 00:45:58,680 --> 00:46:03,920 Speaker 1: as this new saying, which I'm sure Republicans will call CRT, 804 00:46:04,840 --> 00:46:09,719 Speaker 1: but it's where they're teaching climate change in schools. I mean, 805 00:46:09,880 --> 00:46:12,400 Speaker 1: what are your thoughts on that. It's just one of 806 00:46:12,480 --> 00:46:17,279 Speaker 1: these things that, like this debate only is even coherent 807 00:46:17,880 --> 00:46:21,320 Speaker 1: in the context of American politics, like anywhere else, Like 808 00:46:22,080 --> 00:46:25,880 Speaker 1: the most important change, what's happening, the most important thing 809 00:46:26,000 --> 00:46:29,359 Speaker 1: happening in the world. Should we tell kids about it? Yes, 810 00:46:29,600 --> 00:46:31,920 Speaker 1: we should tell kids about the most important thing happening 811 00:46:31,920 --> 00:46:34,400 Speaker 1: in the world, like climate change, and the fight against 812 00:46:34,400 --> 00:46:38,640 Speaker 1: climate change is going to shape these children's entire lives 813 00:46:38,800 --> 00:46:42,120 Speaker 1: and their children's lives, Like should we tell them about it? 814 00:46:42,600 --> 00:46:46,320 Speaker 1: It's just so, I mean, the idea that telling that 815 00:46:46,520 --> 00:46:50,400 Speaker 1: instructing children about what's happening in the natural world in 816 00:46:50,440 --> 00:46:53,400 Speaker 1: the course of teaching them science and you know, sociology 817 00:46:53,400 --> 00:46:55,439 Speaker 1: and all the rest of it is somehow left wing 818 00:46:56,200 --> 00:46:59,080 Speaker 1: is just like that's just to accept dumb terms of 819 00:46:59,160 --> 00:47:02,440 Speaker 1: the debate, like our I used to accept that that premise, Like, 820 00:47:02,840 --> 00:47:07,920 Speaker 1: if you're a reactionary and you want to maintain the 821 00:47:08,080 --> 00:47:13,399 Speaker 1: cultural and political power of a narrow white Christian patriarchal 822 00:47:13,960 --> 00:47:19,759 Speaker 1: culture that is rooted in fossil fuels and suburbs and highways, Uh, 823 00:47:20,000 --> 00:47:23,719 Speaker 1: then yes, you need to You need to keep your 824 00:47:23,760 --> 00:47:27,279 Speaker 1: followers ignorant because once they learn what's happening, they'll learn 825 00:47:27,360 --> 00:47:30,680 Speaker 1: that that's unsustainable. But that's not a left versus right thing. 826 00:47:30,800 --> 00:47:36,480 Speaker 1: That's just a reality versus you know, cocoon thing. This 827 00:47:36,680 --> 00:47:39,160 Speaker 1: is not even a this is not a political argument. 828 00:47:39,200 --> 00:47:43,560 Speaker 1: It's just it's just America's reactionary tribes shrinking in and 829 00:47:43,680 --> 00:47:46,360 Speaker 1: covering themselves with a blanket and trying to cover everyone 830 00:47:46,400 --> 00:47:48,959 Speaker 1: else too. It's the same on race, it's the same 831 00:47:49,040 --> 00:47:51,440 Speaker 1: on history. It's the same on climate. It's the same 832 00:47:51,520 --> 00:47:54,320 Speaker 1: argument over and over again. Is there anything really interesting 833 00:47:54,480 --> 00:47:57,359 Speaker 1: that you're seeing that we should be talking about that's 834 00:47:57,600 --> 00:48:00,439 Speaker 1: sort of fascinating. A couple of days ago, I thought 835 00:48:00,480 --> 00:48:03,080 Speaker 1: this was a big news story that deserves more more hype. 836 00:48:03,160 --> 00:48:05,560 Speaker 1: The inflation Reduction Act got lots of hype and got 837 00:48:05,600 --> 00:48:06,920 Speaker 1: lots of cover which one it came out, but I 838 00:48:06,960 --> 00:48:09,319 Speaker 1: still don't think it got enough. I don't think people 839 00:48:09,360 --> 00:48:12,640 Speaker 1: appreciate it well enough. A report from Credit Swiss, the 840 00:48:12,800 --> 00:48:16,839 Speaker 1: big mega bank finance whatever their research arm, put out 841 00:48:16,920 --> 00:48:19,840 Speaker 1: a report a few days ago that said, the Inflation 842 00:48:19,880 --> 00:48:23,319 Speaker 1: Reduction Act is a much bigger deal than even Democrats 843 00:48:23,560 --> 00:48:26,960 Speaker 1: are saying. Like these tax credits, for instance, the tax 844 00:48:27,040 --> 00:48:29,600 Speaker 1: credits that that the bill offers, you know, for a 845 00:48:29,680 --> 00:48:34,080 Speaker 1: whole wide array of of clean technologies are uncapped, which 846 00:48:34,200 --> 00:48:37,799 Speaker 1: means the estimate that the bill is three eighty seven 847 00:48:37,920 --> 00:48:39,719 Speaker 1: I think was the final number. If you get the 848 00:48:39,760 --> 00:48:42,719 Speaker 1: exact number seven billion dollars of spinning, that's just an 849 00:48:42,920 --> 00:48:46,120 Speaker 1: estimate by the CBO of how many companies are going 850 00:48:46,200 --> 00:48:48,840 Speaker 1: to take advantage of these credits. And what Credit Swiss 851 00:48:48,920 --> 00:48:51,760 Speaker 1: is saying is no, these markets are growing much faster 852 00:48:51,880 --> 00:48:54,840 Speaker 1: than that. Many more people are going to take advantage 853 00:48:54,880 --> 00:48:58,680 Speaker 1: of these credits than than the CBO has acknowledged. And 854 00:48:58,960 --> 00:49:01,200 Speaker 1: actually the total ending of the bill is likely to 855 00:49:01,280 --> 00:49:05,240 Speaker 1: be something more like eight hundred billion dollars more than twice. 856 00:49:05,840 --> 00:49:09,279 Speaker 1: This sort of headline, this sort of headline number, and 857 00:49:09,400 --> 00:49:12,040 Speaker 1: that's just the tax credits, And that's not even figuring 858 00:49:12,120 --> 00:49:14,920 Speaker 1: in the Green Bank, which is going to deploy a 859 00:49:15,040 --> 00:49:17,440 Speaker 1: bunch of money and and and invigorate a bunch of 860 00:49:17,480 --> 00:49:21,600 Speaker 1: private capital, the Loan Program Office, the Jigger Shahs running, 861 00:49:21,680 --> 00:49:24,319 Speaker 1: which is back up and running now and and kick 862 00:49:24,400 --> 00:49:27,000 Speaker 1: starting all kinds of businesses. The parts about the federal 863 00:49:27,080 --> 00:49:30,320 Speaker 1: government being required to buy clean and the federal government 864 00:49:30,360 --> 00:49:33,560 Speaker 1: being required to zero out the carbon footprint of all 865 00:49:33,719 --> 00:49:38,320 Speaker 1: its buildings by like, that's an enormous amount of capital 866 00:49:38,400 --> 00:49:41,080 Speaker 1: that's going to have to be it mustard to do that. 867 00:49:41,280 --> 00:49:45,080 Speaker 1: So I just think politics has become such a ridiculous circus. 868 00:49:45,280 --> 00:49:47,640 Speaker 1: That's sort of like that just wandered past, and everybody's 869 00:49:47,680 --> 00:49:49,920 Speaker 1: onto new things. But we really should like stop and 870 00:49:50,000 --> 00:49:54,320 Speaker 1: take note. It was a fundamental and enormous shift in 871 00:49:54,400 --> 00:49:56,480 Speaker 1: climate policy that has happened, and we're going to live 872 00:49:56,560 --> 00:50:01,560 Speaker 1: through a decade now of really rapid change and investment 873 00:50:02,000 --> 00:50:04,520 Speaker 1: in the US. Like already there's all these announcements of 874 00:50:04,560 --> 00:50:07,080 Speaker 1: all these companies that want to build factories in the 875 00:50:07,239 --> 00:50:09,600 Speaker 1: US now because of you know, the bike clean and 876 00:50:09,600 --> 00:50:14,600 Speaker 1: the domestic manufacturing requirements. They're building auto factories, battery factories. 877 00:50:14,640 --> 00:50:18,360 Speaker 1: There's gonna be an enormous reindustrialization of the US in 878 00:50:18,440 --> 00:50:20,840 Speaker 1: the coming decade. It's just a really big deal, a 879 00:50:20,880 --> 00:50:23,440 Speaker 1: really big victory for the left that it needs to. Like, 880 00:50:23,719 --> 00:50:27,239 Speaker 1: I just wish it would spike the ball more. Yes, 881 00:50:28,760 --> 00:50:30,879 Speaker 1: the left is very good at not spiking the ball. 882 00:50:31,440 --> 00:50:33,680 Speaker 1: They hate being happy, Like it's one of the most 883 00:50:33,719 --> 00:50:35,600 Speaker 1: insane things I've ever been through online, Like this thing 884 00:50:35,760 --> 00:50:37,400 Speaker 1: passes and I go out on nine and I'm like, 885 00:50:37,560 --> 00:50:40,320 Speaker 1: holy shit, guys, look this amazingly good thing happened. And 886 00:50:40,520 --> 00:50:44,080 Speaker 1: I got so much pushback. I felt like people on 887 00:50:44,200 --> 00:50:49,480 Speaker 1: the left were groping, looking, searching for some reason not 888 00:50:49,800 --> 00:50:52,399 Speaker 1: to be happy about it, And I'm like, why, why 889 00:50:52,440 --> 00:50:55,359 Speaker 1: are you looking for a reason. There's so many real 890 00:50:55,600 --> 00:50:58,560 Speaker 1: obvious reasons not to be happy, trying to make some up, 891 00:50:58,680 --> 00:51:01,840 Speaker 1: Like well, I asked, so think people there's some anxiety 892 00:51:01,880 --> 00:51:07,040 Speaker 1: about the Supreme Court for any number of reasons. I mean, 893 00:51:07,200 --> 00:51:12,080 Speaker 1: that can tamp any good news down. Really, this was 894 00:51:12,200 --> 00:51:15,560 Speaker 1: so interesting and I'm so I was thrilled to have you. 895 00:51:15,680 --> 00:51:20,680 Speaker 1: I hope you'll come back. And also trains trains, yea, 896 00:51:21,200 --> 00:51:25,200 Speaker 1: yea for trains trains, Yeah, listen. I love trains, and 897 00:51:25,400 --> 00:51:27,719 Speaker 1: there was a fast train. Can you imagine if they 898 00:51:27,760 --> 00:51:29,799 Speaker 1: were like a train, I would take a ten hour 899 00:51:29,960 --> 00:51:32,120 Speaker 1: train to Ally. Well, we don't even need a ten 900 00:51:32,200 --> 00:51:33,680 Speaker 1: hour train to l A like we could. You know, 901 00:51:33,719 --> 00:51:35,960 Speaker 1: you could build them a lot faster than that. I mean, 902 00:51:36,160 --> 00:51:38,920 Speaker 1: there's I just watched the video online about Switzerland the 903 00:51:38,960 --> 00:51:43,600 Speaker 1: trains in Switzerland, and basically Switzerland has experienced sprawl, right. 904 00:51:43,680 --> 00:51:48,080 Speaker 1: They have all these tiny little suburb like villages throughout 905 00:51:48,080 --> 00:51:50,240 Speaker 1: the country, but instead of connecting it all by highways, 906 00:51:50,440 --> 00:51:52,840 Speaker 1: they decided to connect it all by trains. So, no 907 00:51:53,000 --> 00:51:55,080 Speaker 1: matter how tiny or little village, if you have a 908 00:51:55,160 --> 00:51:58,200 Speaker 1: thousand people out in the middle of nowhere Switzerland, you 909 00:51:58,360 --> 00:52:03,080 Speaker 1: have reliable, every thirty minute train service to all the 910 00:52:03,120 --> 00:52:06,759 Speaker 1: reds of Switzerland at a nice train station every just 911 00:52:06,960 --> 00:52:12,720 Speaker 1: so just imagine every US suburb having regular rapid train service, 912 00:52:13,000 --> 00:52:18,239 Speaker 1: two major metro areas nearby. Bomb shelter for every Swiss man, 913 00:52:18,360 --> 00:52:22,480 Speaker 1: woman and child, but not but not for you and 914 00:52:22,640 --> 00:52:25,600 Speaker 1: not us. Thank you so much, it was great. Yeah, 915 00:52:25,719 --> 00:52:32,839 Speaker 1: thank you. Congrats on the new pod No Molly John 916 00:52:32,960 --> 00:52:37,279 Speaker 1: Fast Jesse Cannon. I saw that the gop House judiciary 917 00:52:37,400 --> 00:52:41,520 Speaker 1: did a really dumb tweet. The GOP judiciary is just 918 00:52:41,880 --> 00:52:46,279 Speaker 1: Jim Jordan's own twitter is what I've heard. Again, it 919 00:52:46,280 --> 00:52:48,480 Speaker 1: would be impossible to know for sure because no one 920 00:52:48,480 --> 00:52:50,840 Speaker 1: will ever give you a straight answer. But the tweet 921 00:52:51,080 --> 00:52:55,040 Speaker 1: is at six oh five pm on October six, Kanye 922 00:52:55,239 --> 00:52:59,560 Speaker 1: period elon period Trump period and I am sure that 923 00:53:00,040 --> 00:53:04,319 Speaker 1: and Jim had his took his used his pudgy little 924 00:53:04,360 --> 00:53:07,879 Speaker 1: fingers to tweet this out on his phone. He thought 925 00:53:08,040 --> 00:53:12,120 Speaker 1: that he was just killing it and that Kanye Ellen 926 00:53:12,239 --> 00:53:17,279 Speaker 1: and Trump three ps in a pod um. Again, Like 927 00:53:17,760 --> 00:53:20,480 Speaker 1: the thing I'm so impressed by with this JUPI is 928 00:53:20,560 --> 00:53:24,320 Speaker 1: like Kanye is in the middle of having what seems 929 00:53:24,400 --> 00:53:27,520 Speaker 1: to be some kind of mental health episode can we 930 00:53:27,640 --> 00:53:30,799 Speaker 1: call it, and making anti Semitic remarks just mental illness. Well, 931 00:53:31,080 --> 00:53:35,320 Speaker 1: it started with a speech at one of his fashion shows. 932 00:53:35,360 --> 00:53:38,880 Speaker 1: It continued with a lot of odd instagrams and tweets, 933 00:53:38,960 --> 00:53:45,080 Speaker 1: and a crescendoed with a tweet that Kanye wrote that said, 934 00:53:45,520 --> 00:53:47,839 Speaker 1: I'm a bit sleepy tonight, but when I wake up, 935 00:53:47,920 --> 00:53:50,359 Speaker 1: It's going to be death Con three. And then there's 936 00:53:50,440 --> 00:53:53,600 Speaker 1: no punctuation because why would there be on Jewish people 937 00:53:54,239 --> 00:53:57,200 Speaker 1: Jewish and people are capitalized. The funny thing is, I 938 00:53:57,320 --> 00:54:00,680 Speaker 1: actually can't be anti semita anti semitic. By the way, 939 00:54:00,760 --> 00:54:03,200 Speaker 1: in case you're wondering, anytime you're saying, like I thought, 940 00:54:03,320 --> 00:54:06,280 Speaker 1: I can't possibly be racist, I can't possibly be anti semitic, 941 00:54:06,440 --> 00:54:09,160 Speaker 1: is never a grade time because black people are also 942 00:54:09,239 --> 00:54:11,520 Speaker 1: to you. Also, all right, you guys have toyed with 943 00:54:11,640 --> 00:54:14,880 Speaker 1: me and tried to black ball anyone who ever opposes 944 00:54:14,960 --> 00:54:19,600 Speaker 1: your agenda. Alright, So that was Kanye's foray into uh 945 00:54:20,400 --> 00:54:23,120 Speaker 1: and let's not forget his best friend to Lan Elon, 946 00:54:23,440 --> 00:54:26,800 Speaker 1: has has been spending his time tweeting his hot takes 947 00:54:26,880 --> 00:54:31,600 Speaker 1: on international diplomacy and whether or not Ukraine should be 948 00:54:31,640 --> 00:54:35,120 Speaker 1: given to Russia. He's back and forth. He's extremely concerned 949 00:54:35,120 --> 00:54:40,040 Speaker 1: about nuclear proliferation recently, which is congratulations, Elon, you've made 950 00:54:40,080 --> 00:54:44,720 Speaker 1: it to the nineteen sixties. Um. And Donald J. Trump, 951 00:54:44,840 --> 00:54:50,040 Speaker 1: of course needs no introduction. Well. I Trump had a 952 00:54:50,080 --> 00:54:52,520 Speaker 1: really good one though this this weekend at the rally 953 00:54:52,560 --> 00:54:55,239 Speaker 1: where he said that January six was the biggest crowd 954 00:54:55,280 --> 00:54:58,280 Speaker 1: he's ever seen, which is right. I almost bragging about 955 00:54:58,440 --> 00:55:02,000 Speaker 1: the crowd size at his insurrection. But it's a little 956 00:55:02,040 --> 00:55:05,600 Speaker 1: weird because there's two thousand rioters at January six, yet 957 00:55:05,640 --> 00:55:08,000 Speaker 1: he claimed there's a million and a half people at 958 00:55:08,040 --> 00:55:10,840 Speaker 1: his inauguration, So which is it. I mean, I just 959 00:55:10,960 --> 00:55:14,520 Speaker 1: think if you're bragging about an event that led to 960 00:55:14,920 --> 00:55:20,040 Speaker 1: an armed insurrection, perhaps you're picking the wrong horse. And 961 00:55:20,239 --> 00:55:24,080 Speaker 1: for that all three get a hearty fuck you. That's 962 00:55:24,120 --> 00:55:28,360 Speaker 1: it for this episode of Fast Politics. Tune in every Monday, Wednesday, 963 00:55:28,400 --> 00:55:31,319 Speaker 1: and Friday to your the best minds in politics makes 964 00:55:31,360 --> 00:55:34,640 Speaker 1: sense of all this chaos. If you enjoyed what you've heard, 965 00:55:35,040 --> 00:55:37,919 Speaker 1: please send it to a friend and keep the conversation going. 966 00:55:38,360 --> 00:55:40,000 Speaker 1: And again, thanks for listening.