1 00:00:00,680 --> 00:00:04,200 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,400 --> 00:00:07,160 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,200 --> 00:00:08,559 Speaker 1: today's best minds. 4 00:00:08,800 --> 00:00:10,720 Speaker 2: And we are live from the DNC again with an 5 00:00:10,800 --> 00:00:13,560 Speaker 2: absolutely insane lineup of people who will tell you such 6 00:00:13,640 --> 00:00:15,880 Speaker 2: interesting things about what's going on in America. 7 00:00:16,000 --> 00:00:16,200 Speaker 3: Rep. 8 00:00:16,320 --> 00:00:18,640 Speaker 2: Don Bayer stops by to tell us why he's in 9 00:00:18,680 --> 00:00:21,439 Speaker 2: college at seventy four to leorre an Ai. Then we'll 10 00:00:21,440 --> 00:00:24,120 Speaker 2: talk to Caroline Glee, who's running for Mitt Romney's old 11 00:00:24,120 --> 00:00:26,520 Speaker 2: seat in Utah, and she'll tell us how we'll turn 12 00:00:26,520 --> 00:00:29,240 Speaker 2: that seat blue. Then we'll talk to Rep. Rose de 13 00:00:29,320 --> 00:00:33,639 Speaker 2: World about how VP Harris changes the game. Ben Many Routtinall, 14 00:00:33,680 --> 00:00:36,159 Speaker 2: who's a member of the Colorado General Assembly. We'll talk 15 00:00:36,200 --> 00:00:38,720 Speaker 2: about cleaning up one of the most polluted areas in America. 16 00:00:38,880 --> 00:00:41,320 Speaker 2: But first we have the host of the Enemy's List, 17 00:00:41,479 --> 00:00:43,839 Speaker 2: the Link of Projects owned Rick Wilson. 18 00:00:44,080 --> 00:00:48,640 Speaker 1: Welcome back, Few Fast Politics, My buddy Rick Wilson. 19 00:00:48,560 --> 00:00:50,920 Speaker 4: Hello, Molly John Fast. We are both on the same 20 00:00:51,400 --> 00:00:52,720 Speaker 4: West coach right now. 21 00:00:52,880 --> 00:00:56,360 Speaker 1: We are on our West Coast leg of our blockbuster tour. 22 00:00:56,840 --> 00:00:59,920 Speaker 4: Yes we are, and it is and folks, if you're 23 00:01:00,040 --> 00:01:03,960 Speaker 4: looking for information on our blockbuster tour. It's politics as unusual. 24 00:01:04,040 --> 00:01:08,720 Speaker 4: Dot bio bio move quickly because to our surprise, people 25 00:01:08,720 --> 00:01:11,319 Speaker 4: actually want to hear us do our hi juice and 26 00:01:11,319 --> 00:01:14,600 Speaker 4: for volity on stage, and it's selling out fast. I'm 27 00:01:14,720 --> 00:01:15,640 Speaker 4: very importned by that. 28 00:01:16,080 --> 00:01:18,679 Speaker 1: If you're listening to this and you're in San Francisco, 29 00:01:19,000 --> 00:01:22,720 Speaker 1: because this comes out tomorrow, you can come tonight and 30 00:01:22,840 --> 00:01:26,640 Speaker 1: listen to us in San Francisco. There are tickets. Look 31 00:01:26,680 --> 00:01:30,440 Speaker 1: on our social media. We both have been tweeting about it, We've. 32 00:01:30,240 --> 00:01:32,560 Speaker 4: Been reading about it. People were sick of us. 33 00:01:32,840 --> 00:01:35,959 Speaker 1: I think there are very few tickets, but there certainly 34 00:01:36,040 --> 00:01:39,480 Speaker 1: are one or two. On Tuesday, we are in Los Angeles, 35 00:01:39,520 --> 00:01:42,040 Speaker 1: and a few tickets left for that too, we think, 36 00:01:42,200 --> 00:01:45,320 Speaker 1: though who knows, but check it out. So Rick Wilson, 37 00:01:45,400 --> 00:01:48,800 Speaker 1: we are gonna do two seconds sort of wrap up 38 00:01:48,800 --> 00:01:51,920 Speaker 1: on the convention, and then we have a lot of other. 39 00:01:51,680 --> 00:01:52,640 Speaker 5: Stuff to talk about. 40 00:01:52,720 --> 00:01:55,240 Speaker 1: But I do think it's important to talk about the 41 00:01:55,240 --> 00:01:58,760 Speaker 1: convention because even though we were both there, so we 42 00:01:58,800 --> 00:02:01,000 Speaker 1: have been like living in I want you to talk 43 00:02:01,040 --> 00:02:03,760 Speaker 1: about this because you have so much more experience with 44 00:02:03,840 --> 00:02:06,559 Speaker 1: this and have been at so many conventions and also 45 00:02:06,840 --> 00:02:08,600 Speaker 1: on the wrong side of No. 46 00:02:10,639 --> 00:02:12,480 Speaker 4: I was at a couple of Democratic conventions on the 47 00:02:12,520 --> 00:02:14,200 Speaker 4: spin team for the Republicans. 48 00:02:15,080 --> 00:02:17,080 Speaker 1: Yeah no, no, that's why I say on the wrong 49 00:02:17,120 --> 00:02:20,359 Speaker 1: side of it, but I thought so as a partisan 50 00:02:20,880 --> 00:02:23,440 Speaker 1: on the opinion side, it felt to me like, I mean, 51 00:02:23,480 --> 00:02:25,440 Speaker 1: maybe the speeches could have been a little shorter, but 52 00:02:25,560 --> 00:02:27,440 Speaker 1: ultimately it could not have gone any better. 53 00:02:27,639 --> 00:02:30,160 Speaker 4: Well, speaking of speeches being the right length, the fact 54 00:02:30,200 --> 00:02:32,799 Speaker 4: that Vice President Harris delivered a thirty eight minute speech 55 00:02:32,840 --> 00:02:35,920 Speaker 4: instead of a ninety two minute speech, it makes it difference. 56 00:02:36,520 --> 00:02:40,640 Speaker 4: I mean, Dorobald Trump on his acceptance speech and I 57 00:02:40,639 --> 00:02:44,040 Speaker 4: couldn't remember a single detail from it other than me, me, me. 58 00:02:44,280 --> 00:02:46,520 Speaker 5: And how long did Harris speak? 59 00:02:46,560 --> 00:02:49,000 Speaker 4: For thirty eight it was perfect. It was right on 60 00:02:49,120 --> 00:02:51,720 Speaker 4: the money, and people need to remember we live in 61 00:02:51,760 --> 00:02:55,440 Speaker 4: a shorter attention span world than most speech writers myself 62 00:02:55,440 --> 00:02:58,359 Speaker 4: including grew up. Yet Right always makes the key mistake 63 00:02:58,520 --> 00:03:00,919 Speaker 4: in his speeches of going full cast going for like 64 00:03:02,240 --> 00:03:05,240 Speaker 4: its for the audience starts to suffer from dehydration. 65 00:03:06,440 --> 00:03:09,760 Speaker 1: Yeah no, I definitely he goes bolcastro. I would almost 66 00:03:09,760 --> 00:03:12,080 Speaker 1: say he goes full Mussolini. 67 00:03:12,280 --> 00:03:15,160 Speaker 4: It is rather Mussolini asked. But look, I will say 68 00:03:15,160 --> 00:03:17,679 Speaker 4: this about this convention. Molly, as an observer of these things, 69 00:03:17,800 --> 00:03:20,240 Speaker 4: is an attendee of many of these things. The only 70 00:03:20,320 --> 00:03:23,079 Speaker 4: people who were complaining at this convention were the media 71 00:03:23,280 --> 00:03:24,640 Speaker 4: and Obo, who. 72 00:03:24,760 --> 00:03:28,919 Speaker 1: I'm very conflicted because I am a member of the 73 00:03:28,960 --> 00:03:31,760 Speaker 1: mainstream media, and I also know how imboardant the mainstream 74 00:03:31,760 --> 00:03:34,920 Speaker 1: media is to democracy, and I do think that the 75 00:03:35,240 --> 00:03:38,840 Speaker 1: DNC did not treat them with the kind of reverence 76 00:03:38,920 --> 00:03:42,240 Speaker 1: that perhaps they are used to. I also feel like 77 00:03:43,360 --> 00:03:48,120 Speaker 1: the mainstream media has been equally virulent towards anti democracy 78 00:03:48,320 --> 00:03:50,080 Speaker 1: and we want to give free breakfast. 79 00:03:50,400 --> 00:03:52,920 Speaker 4: The attitude by some folks in the press that was, 80 00:03:53,160 --> 00:03:55,640 Speaker 4: you know, she won't sit down for a four hour interview, 81 00:03:55,680 --> 00:03:57,680 Speaker 4: she won't do this, she won't do that. I guess 82 00:03:57,680 --> 00:03:59,760 Speaker 4: somebod that was taking it out on her for that. 83 00:04:00,120 --> 00:04:04,080 Speaker 4: But this is not a campaign, Molly, with two normal candidates. 84 00:04:04,320 --> 00:04:08,000 Speaker 4: It's a campaign with one guy who is compactive, detached, 85 00:04:08,160 --> 00:04:09,000 Speaker 4: realery and. 86 00:04:09,000 --> 00:04:13,280 Speaker 5: Also wants to end American democracy. Like he's crazy. But 87 00:04:13,320 --> 00:04:15,000 Speaker 5: he was crazy in twenty sixteen. 88 00:04:15,160 --> 00:04:18,520 Speaker 1: Now he's ready to end the American experiment and his 89 00:04:18,720 --> 00:04:19,760 Speaker 1: people are with him. 90 00:04:19,839 --> 00:04:20,200 Speaker 3: They are. 91 00:04:20,320 --> 00:04:22,320 Speaker 4: And my take on the speech itself was it was 92 00:04:22,320 --> 00:04:25,960 Speaker 4: one of the most important speeches in modern political history. 93 00:04:26,120 --> 00:04:30,279 Speaker 4: She in thirty eight minutes, managed to illustrate the stakes 94 00:04:30,279 --> 00:04:34,360 Speaker 4: for the country, diminish and condemn Trump in the appropriate way, 95 00:04:34,560 --> 00:04:36,720 Speaker 4: and to show a new way forward for the Democratic 96 00:04:36,760 --> 00:04:38,680 Speaker 4: Party on how to run and win and how to 97 00:04:38,760 --> 00:04:41,440 Speaker 4: expand with coalition. You know, there are a lot of 98 00:04:41,480 --> 00:04:44,479 Speaker 4: my former you know, Republicans and fellow you never Trumpers. 99 00:04:45,040 --> 00:04:48,080 Speaker 4: During that speech, all of our chats were burning up, like, 100 00:04:48,320 --> 00:04:51,159 Speaker 4: oh my god, oh my god, oh my god, this 101 00:04:51,279 --> 00:04:53,479 Speaker 4: is amazing. And it really spoke to me that a 102 00:04:53,520 --> 00:04:56,640 Speaker 4: lot of the sort of gentry Republicans who are, oh, 103 00:04:56,720 --> 00:04:59,800 Speaker 4: I don't like Trump's greets, but I do like his policy. 104 00:05:00,680 --> 00:05:04,120 Speaker 4: A lot of those people were the most outraged by 105 00:05:04,120 --> 00:05:07,160 Speaker 4: the speech. How dare she talk about freedom? How dares 106 00:05:07,240 --> 00:05:13,200 Speaker 4: she talk about strength? That's not her had a very 107 00:05:13,200 --> 00:05:16,720 Speaker 4: stoppy foot kind of piece in the journal about it, 108 00:05:17,080 --> 00:05:19,159 Speaker 4: which tells you it was effective, which tells you it 109 00:05:19,200 --> 00:05:19,839 Speaker 4: was the right way. 110 00:05:19,680 --> 00:05:20,279 Speaker 5: To approach it. 111 00:05:20,920 --> 00:05:24,719 Speaker 4: So look, I think that I think the convention, in 112 00:05:24,800 --> 00:05:27,680 Speaker 4: terms of its optics, in terms of its composition of 113 00:05:27,720 --> 00:05:31,600 Speaker 4: the speakers, including a lot of former Republicans who are 114 00:05:31,680 --> 00:05:34,560 Speaker 4: voting Democratic now, really sends a signal to the country. 115 00:05:34,680 --> 00:05:36,880 Speaker 4: They did not fall into what I call the Benetton 116 00:05:37,000 --> 00:05:39,880 Speaker 4: trap of the Democratic Party, which for years has been 117 00:05:39,960 --> 00:05:42,560 Speaker 4: sort of every single interest group has to have all 118 00:05:42,600 --> 00:05:44,840 Speaker 4: of its things on the stage all the time. And 119 00:05:45,200 --> 00:05:48,560 Speaker 4: by showing America that you can be a Democrat and 120 00:05:48,600 --> 00:05:51,760 Speaker 4: be patriotic, that you can shout USA, USA, or you 121 00:05:51,760 --> 00:05:54,800 Speaker 4: can wave an American flag and not feel like MAGA 122 00:05:54,920 --> 00:05:57,839 Speaker 4: owns it. That's a really important message coming out of 123 00:05:57,880 --> 00:06:01,680 Speaker 4: this because the ownership in the culture of the symbols 124 00:06:01,720 --> 00:06:05,360 Speaker 4: and signifiers of American history and American political life are 125 00:06:05,440 --> 00:06:08,600 Speaker 4: things that people love. If all of the Republicans use them, 126 00:06:08,640 --> 00:06:10,640 Speaker 4: fly them, talk about them, you know, it goes back 127 00:06:10,640 --> 00:06:13,280 Speaker 4: to the old white, pale Pastel's problem for the Democrats, 128 00:06:13,720 --> 00:06:15,880 Speaker 4: and they've gotten away from it at long last. And 129 00:06:15,920 --> 00:06:19,440 Speaker 4: I think it has had an enormously powerful effect on 130 00:06:20,080 --> 00:06:22,359 Speaker 4: where the ticket is right now, where the campaign is 131 00:06:22,440 --> 00:06:22,880 Speaker 4: right now. 132 00:06:23,080 --> 00:06:23,359 Speaker 5: Yeah. 133 00:06:23,440 --> 00:06:27,160 Speaker 1: I also think that when you watch, it's pretty interesting 134 00:06:27,200 --> 00:06:30,440 Speaker 1: to watch these Republicans get mad about it when they 135 00:06:30,560 --> 00:06:34,880 Speaker 1: gave it away. Donald Trump gave away patriotism. Yeah, he 136 00:06:35,120 --> 00:06:39,000 Speaker 1: ran on America's lescape. He ran on you know, suckers 137 00:06:39,000 --> 00:06:41,200 Speaker 1: and losers as I mean, you know, as much as 138 00:06:41,200 --> 00:06:43,160 Speaker 1: he backed away from it, he also ran on it 139 00:06:43,279 --> 00:06:45,159 Speaker 1: American isolationism. 140 00:06:45,360 --> 00:06:46,760 Speaker 5: That was how he got here. 141 00:06:46,839 --> 00:06:49,599 Speaker 1: So you know, I'm not conflicted, but I do think 142 00:06:49,640 --> 00:06:52,159 Speaker 1: that speech was not a speech for the Democratic base, 143 00:06:52,800 --> 00:06:55,520 Speaker 1: which makes sense because you know, she's trying to win 144 00:06:55,520 --> 00:06:58,120 Speaker 1: a general election here and you saw some people that 145 00:06:58,200 --> 00:07:01,440 Speaker 1: were on the far left were mad about some of 146 00:07:01,520 --> 00:07:04,840 Speaker 1: the elements in it. But here's the fundamental problem, and 147 00:07:04,880 --> 00:07:08,080 Speaker 1: it's what is currently sinking Donald Trump. And it's a 148 00:07:08,120 --> 00:07:11,200 Speaker 1: problem for all political candidates, which is you have to 149 00:07:11,400 --> 00:07:15,400 Speaker 1: appeal to your base but then grow your electorate. And 150 00:07:15,800 --> 00:07:19,760 Speaker 1: Donald Trump is just you know, in twenty sixteen, somehow 151 00:07:19,840 --> 00:07:22,560 Speaker 1: he managed to sneak it through the you know, sort 152 00:07:22,600 --> 00:07:26,760 Speaker 1: of win by just embracing his base and saying fuck 153 00:07:26,800 --> 00:07:30,160 Speaker 1: you to everyone else. And now you can't keep winning 154 00:07:30,200 --> 00:07:33,280 Speaker 1: elections like that, and that is where Donald Trump is 155 00:07:33,320 --> 00:07:36,240 Speaker 1: stuck in. I mean, I think a really interesting thing 156 00:07:36,320 --> 00:07:38,400 Speaker 1: that we saw today, which just spoke to me, was 157 00:07:38,440 --> 00:07:39,880 Speaker 1: in playbook this morning. 158 00:07:40,200 --> 00:07:43,000 Speaker 5: Right, Donald Trump is now pivoted to be pro choice. 159 00:07:43,160 --> 00:07:45,640 Speaker 4: The Donald Trump truth the other day of my administration 160 00:07:45,840 --> 00:07:46,960 Speaker 4: be great for women's rights. 161 00:07:47,040 --> 00:07:52,160 Speaker 1: I'm like women's reproductives, great ups what. 162 00:07:50,960 --> 00:07:55,600 Speaker 5: What Yeah, that was incredible. So they had Lyla Rose. 163 00:07:55,400 --> 00:07:58,200 Speaker 1: Who was the founder of the anti abortion group Live Action. 164 00:07:58,560 --> 00:08:02,520 Speaker 1: Complete lunatic only is it not principled. It's not going 165 00:08:02,560 --> 00:08:06,320 Speaker 1: to help Trump campaign to be trying to sound like 166 00:08:06,360 --> 00:08:07,080 Speaker 1: a Democrat. 167 00:08:07,160 --> 00:08:09,000 Speaker 5: Right now, yesterday and. 168 00:08:09,000 --> 00:08:12,800 Speaker 4: The day before, Donald Trump has been on truth social NonStop. 169 00:08:12,960 --> 00:08:16,240 Speaker 4: He has been flailing around NonStop. Now having been on 170 00:08:16,280 --> 00:08:18,360 Speaker 4: the road now for a couple of weeks. The things 171 00:08:18,400 --> 00:08:20,840 Speaker 4: I've been hearing out of the Trump world. There was 172 00:08:20,880 --> 00:08:23,360 Speaker 4: a senior Trump person who's a meaningful part of their 173 00:08:23,360 --> 00:08:26,160 Speaker 4: campaign who actually took three days off last week. And really, 174 00:08:26,880 --> 00:08:29,440 Speaker 4: I'm off in Trump World right now when the building 175 00:08:29,520 --> 00:08:32,920 Speaker 4: is on fire and the occupant is spreading gas around 176 00:08:32,960 --> 00:08:36,040 Speaker 4: it everywhere. I mean, this thing is teetering, and I 177 00:08:36,080 --> 00:08:37,760 Speaker 4: don't want people to get cocky, and I want people 178 00:08:37,800 --> 00:08:40,600 Speaker 4: to overestimate where we are. It will still be a 179 00:08:40,640 --> 00:08:43,400 Speaker 4: brutal race, guys. There are still a lot of money 180 00:08:43,640 --> 00:08:45,600 Speaker 4: that will come out for him in the end. There's 181 00:08:45,600 --> 00:08:48,160 Speaker 4: still a lot of fuckery occurring. A lot of them 182 00:08:48,160 --> 00:08:52,280 Speaker 4: are counting on corruption in election offices like in Georgia 183 00:08:52,320 --> 00:08:55,719 Speaker 4: and elsewhere to pull out a fake win in the end. 184 00:08:55,960 --> 00:08:59,280 Speaker 4: So I don't want people to be complacent, but right now, 185 00:08:59,440 --> 00:09:04,240 Speaker 4: everything they've thrown at Harrison Walls has failed. Everything they've 186 00:09:04,280 --> 00:09:07,440 Speaker 4: tried the new to reset Trump has failed. Everything they've 187 00:09:07,440 --> 00:09:10,800 Speaker 4: tried to do to rebuild his momentum has failed. You know, 188 00:09:11,000 --> 00:09:13,959 Speaker 4: on Friday, when Tony Fabrizio, his polster, Toney the pollster, 189 00:09:14,120 --> 00:09:16,160 Speaker 4: came out with that poll that made you know, even 190 00:09:16,200 --> 00:09:18,360 Speaker 4: the guys at Rasmus and go, whoa easy their pal 191 00:09:21,160 --> 00:09:25,960 Speaker 4: So seven points in Arizona. Okay, cool, Yeah, that's where 192 00:09:25,960 --> 00:09:29,040 Speaker 4: it is. But when you see them trying to manage 193 00:09:29,160 --> 00:09:32,079 Speaker 4: him that way, and you see him able to control 194 00:09:32,160 --> 00:09:35,560 Speaker 4: his impulses and his statements and trying to spend things 195 00:09:35,760 --> 00:09:38,840 Speaker 4: that are unspinnable, and trying to get back the mojo 196 00:09:38,960 --> 00:09:41,520 Speaker 4: he had in sixteen on social media where he could 197 00:09:41,559 --> 00:09:45,040 Speaker 4: tweet something and then the Clinton campaign would respond with 198 00:09:45,080 --> 00:09:48,160 Speaker 4: like a fourteen page memo about the tweet. People would 199 00:09:48,200 --> 00:09:49,760 Speaker 4: be freaked out and it would be the top of 200 00:09:49,800 --> 00:09:51,920 Speaker 4: the news and all that other shit. But look, he's 201 00:09:51,960 --> 00:09:54,200 Speaker 4: also facing up some stuff that he is really really 202 00:09:54,240 --> 00:09:56,120 Speaker 4: going to break him. The Federal Reserve is going to 203 00:09:56,200 --> 00:10:01,040 Speaker 4: cut rates, Gas prices at the barrel are plunged, right now. 204 00:10:01,240 --> 00:10:02,960 Speaker 4: The reason you're paying a lot for gas is not 205 00:10:03,080 --> 00:10:06,199 Speaker 4: because of Joe Biden and Kamala Harris. It's because gas 206 00:10:06,240 --> 00:10:09,160 Speaker 4: prices up the barrelhead have been low, and gas companies 207 00:10:09,160 --> 00:10:11,840 Speaker 4: have been working. You. We're such a low point that 208 00:10:11,840 --> 00:10:14,360 Speaker 4: they're gonna have to that they're going to cut prices significantly. 209 00:10:14,600 --> 00:10:16,680 Speaker 4: You're going to end up at the by the rest 210 00:10:16,720 --> 00:10:18,719 Speaker 4: of the whatever's left of the summer and end of 211 00:10:18,760 --> 00:10:22,000 Speaker 4: the fall, with inflation going down, your rates going down, 212 00:10:22,040 --> 00:10:24,280 Speaker 4: and gas going down. You just took away one of 213 00:10:24,320 --> 00:10:26,559 Speaker 4: the underlying predicates of Donald Trump's. 214 00:10:26,280 --> 00:10:28,959 Speaker 5: Campaign, right right, No, no, exactly. 215 00:10:29,360 --> 00:10:32,240 Speaker 1: So let's talk about RFK because Jesse wants us to 216 00:10:32,280 --> 00:10:33,200 Speaker 1: talk about RFK. 217 00:10:33,360 --> 00:10:35,280 Speaker 5: I want to never talk about RFK. 218 00:10:35,720 --> 00:10:38,400 Speaker 4: How did RFK get locked in that room with five 219 00:10:38,480 --> 00:10:39,920 Speaker 4: rabbit wolves? Man? 220 00:10:39,960 --> 00:10:40,760 Speaker 6: That was really word. 221 00:10:42,000 --> 00:10:43,680 Speaker 5: The wolves struck back. 222 00:10:43,800 --> 00:10:46,800 Speaker 1: But no, it's not funny to talk about terrible things 223 00:10:46,800 --> 00:10:48,679 Speaker 1: happening to people, you know. 224 00:10:50,800 --> 00:10:52,520 Speaker 5: But let's talk about RFK for a minute. 225 00:10:52,640 --> 00:10:56,200 Speaker 1: RFK has i supposedly and again we are talking about 226 00:10:56,240 --> 00:10:59,000 Speaker 1: things that RFK has self reported, So take all of 227 00:10:59,040 --> 00:11:01,320 Speaker 1: this with a grain of salt. But he said that 228 00:11:01,400 --> 00:11:03,960 Speaker 1: he had wanted to meet with Harris, and she had refused. 229 00:11:04,080 --> 00:11:06,480 Speaker 1: I think that is a good call on her part 230 00:11:06,520 --> 00:11:07,319 Speaker 1: if true. 231 00:11:07,480 --> 00:11:10,760 Speaker 4: Do you know why she refused because she's a lawyer. Yeah, 232 00:11:11,160 --> 00:11:13,920 Speaker 4: she knew that what he was doing was say, I 233 00:11:13,920 --> 00:11:16,280 Speaker 4: want to meet with you to fight, figure out what 234 00:11:16,400 --> 00:11:18,080 Speaker 4: position you'll give me when I quit. 235 00:11:18,440 --> 00:11:19,520 Speaker 5: Yeah. 236 00:11:20,120 --> 00:11:22,200 Speaker 4: Now, look, I am not one of those people who 237 00:11:22,280 --> 00:11:25,280 Speaker 4: thinks that Donald Trump is going to get indicted on 238 00:11:25,400 --> 00:11:28,959 Speaker 4: whatever statutory restriction that comes under by the time the 239 00:11:29,000 --> 00:11:31,480 Speaker 4: election rolls around. But I should just remind you he 240 00:11:31,559 --> 00:11:32,360 Speaker 4: does not mind. 241 00:11:32,240 --> 00:11:35,320 Speaker 5: Criming, right right, No, No, he's a good trade of criming. 242 00:11:35,400 --> 00:11:39,320 Speaker 1: And also he never gets held accountable, unlike Harris, who does. 243 00:11:39,559 --> 00:11:43,320 Speaker 1: Because if there's one thing we've learned in Trump's America, 244 00:11:43,480 --> 00:11:45,520 Speaker 1: so Trump can get away with anything and no one 245 00:11:45,520 --> 00:11:47,200 Speaker 1: else can, not even his people. 246 00:11:47,400 --> 00:11:49,320 Speaker 4: Molly, Can I just say something about that? That's the 247 00:11:49,320 --> 00:11:51,040 Speaker 4: double standard that I have. You know, it's not just 248 00:11:51,080 --> 00:11:54,120 Speaker 4: both sides in them, Okay, Right, It's like, why hasn't 249 00:11:54,200 --> 00:11:58,080 Speaker 4: Vice President Harris produced a nine hundred page plan on 250 00:11:58,160 --> 00:12:02,480 Speaker 4: climate change or a page plan on healthcare or whatever 251 00:12:02,480 --> 00:12:05,120 Speaker 4: it is. Why won't she personally brief us on every 252 00:12:05,160 --> 00:12:08,480 Speaker 4: detail on page forty seven of the Climate and Donald 253 00:12:08,520 --> 00:12:11,040 Speaker 4: Trump goes out and says, I'm going to throw my 254 00:12:11,080 --> 00:12:13,559 Speaker 4: shit all over the place like a monkey in a zoo, 255 00:12:13,960 --> 00:12:16,559 Speaker 4: and they go, oh, yes, Well, Trump's policies are very 256 00:12:16,559 --> 00:12:19,400 Speaker 4: clearly understood by the voters, and I mean right. 257 00:12:19,280 --> 00:12:21,520 Speaker 5: But look, there's quite a lot of that. 258 00:12:21,720 --> 00:12:24,720 Speaker 1: Yes, but Jesse really wants us to talk about what 259 00:12:24,800 --> 00:12:28,559 Speaker 1: OURFK Junior are leaving the race means. And the reality 260 00:12:28,679 --> 00:12:31,240 Speaker 1: is people will tell you a lot of bullshit, but 261 00:12:31,360 --> 00:12:35,640 Speaker 1: nobody really knows right. So on Friday, someone very smart 262 00:12:35,640 --> 00:12:37,680 Speaker 1: politically said to me, oh, it's going to hurt her. 263 00:12:37,920 --> 00:12:40,720 Speaker 1: But then this weekend I saw some poll ling and 264 00:12:40,760 --> 00:12:44,200 Speaker 1: writing that said, actually, it may not do anything. So 265 00:12:44,640 --> 00:12:47,720 Speaker 1: the reality is we don't really know what it's going 266 00:12:47,800 --> 00:12:50,520 Speaker 1: to do. It could hurt her, it could not hurt her. 267 00:12:50,960 --> 00:12:55,959 Speaker 4: If RFK Junior was a beloved son of the Kennedy family, 268 00:12:56,360 --> 00:12:59,840 Speaker 4: a symbolic through line of the legacy of the Kennedys 269 00:13:00,280 --> 00:13:03,640 Speaker 4: RFK and JFK, it would be something. But what we 270 00:13:03,720 --> 00:13:08,120 Speaker 4: saw from RFK as he unwound this campaign, Let's not 271 00:13:08,240 --> 00:13:11,840 Speaker 4: forget he was put in the campaign because Bannon and 272 00:13:12,040 --> 00:13:15,720 Speaker 4: Stone and Tucker and others said, if you do this, 273 00:13:15,760 --> 00:13:18,880 Speaker 4: it'll fuck Joe Biden. There's a core paper trail on that. 274 00:13:19,240 --> 00:13:22,040 Speaker 4: During the course of his campaign, he was talking to 275 00:13:22,160 --> 00:13:26,360 Speaker 4: a group of people who are Trump voters to some degree, 276 00:13:26,679 --> 00:13:30,840 Speaker 4: the conspiracy nuts. But he was also trying to maintain 277 00:13:30,920 --> 00:13:33,560 Speaker 4: this I'm the do good or independent bullshit, which was 278 00:13:33,960 --> 00:13:37,360 Speaker 4: awkward and false all the time, but none of it 279 00:13:37,520 --> 00:13:39,600 Speaker 4: was really working at scale. Right. 280 00:13:39,840 --> 00:13:42,400 Speaker 5: He was doing better before he started campaign. 281 00:13:42,679 --> 00:13:44,680 Speaker 4: He was doing better before people started knowing that he 282 00:13:44,760 --> 00:13:48,839 Speaker 4: was RFK junior. While the dead bear and the falconry 283 00:13:49,080 --> 00:13:52,000 Speaker 4: and the drugs and all the other weird shit, while 284 00:13:52,040 --> 00:13:55,319 Speaker 4: those things were all sort of background noise to it, 285 00:13:55,559 --> 00:13:59,600 Speaker 4: I don't think people hadn't fully internalized that this guy 286 00:13:59,640 --> 00:14:04,360 Speaker 4: is pro polio. This guy is truly a dark bad guy. 287 00:14:04,960 --> 00:14:07,320 Speaker 4: And when I see his polio folks, he doesn't just 288 00:14:07,320 --> 00:14:11,480 Speaker 4: oppose MNRA vaccines. He opposes all vaccines. 289 00:14:11,760 --> 00:14:12,400 Speaker 5: Yes he does. 290 00:14:12,440 --> 00:14:15,560 Speaker 4: If you worked to kidd an iron lung of Republican Barbaria, 291 00:14:15,640 --> 00:14:17,959 Speaker 4: probably have you noticed how much the magas are trying 292 00:14:18,000 --> 00:14:22,280 Speaker 4: to make RFK a thing. It's all che everything's different now, 293 00:14:22,600 --> 00:14:26,000 Speaker 4: the whole election has been turned right down. We went 294 00:14:26,200 --> 00:14:28,120 Speaker 4: and get the fuck out of here. 295 00:14:28,640 --> 00:14:31,320 Speaker 1: I think That's a really important point too, is that 296 00:14:31,600 --> 00:14:33,920 Speaker 1: Republicans keep saying like this is a game changer, and 297 00:14:33,960 --> 00:14:37,680 Speaker 1: this change is in the election that but ultimately we 298 00:14:37,760 --> 00:14:39,880 Speaker 1: don't really know what it does. 299 00:14:40,160 --> 00:14:42,600 Speaker 4: We have some initial brush fire stuff on it. We're 300 00:14:42,640 --> 00:14:46,200 Speaker 4: not really seeing this as changing the ballgame because a 301 00:14:46,240 --> 00:14:49,720 Speaker 4: lot of RFK voters, it turns out, are in states 302 00:14:49,760 --> 00:14:52,600 Speaker 4: where the decisions already made. We know how that state's 303 00:14:52,640 --> 00:14:55,440 Speaker 4: could already go. They're not as prevalent as a percentage 304 00:14:55,440 --> 00:14:57,680 Speaker 4: of the voting population in a lot of the swing 305 00:14:57,680 --> 00:15:00,720 Speaker 4: states as they are in a few places where he's 306 00:15:00,840 --> 00:15:04,560 Speaker 4: much more popular. And look, all of the panic over RFK, 307 00:15:05,000 --> 00:15:07,280 Speaker 4: I think is going to fade in comparison to the 308 00:15:07,320 --> 00:15:09,000 Speaker 4: fact that RFK said Trump wants me to meet his 309 00:15:09,040 --> 00:15:11,720 Speaker 4: running mate Donald Trump. Literally you tweeted a thing about 310 00:15:11,720 --> 00:15:14,120 Speaker 4: calling the two of them that ticket. If I were Jadvan, 311 00:15:14,240 --> 00:15:17,200 Speaker 4: I'd get a food taster, some level four body armor, 312 00:15:17,320 --> 00:15:19,040 Speaker 4: and I'd up my security procedures. 313 00:15:19,240 --> 00:15:21,480 Speaker 5: Do we think that Trump? 314 00:15:21,640 --> 00:15:27,840 Speaker 1: I mean, obviously the ballots are already No. 315 00:15:27,920 --> 00:15:30,960 Speaker 4: No, they're mostly printed. Oh, by the way, that's the 316 00:15:31,000 --> 00:15:33,160 Speaker 4: other part of this. RFK is going to come off 317 00:15:33,160 --> 00:15:35,160 Speaker 4: the ballot in a lot of states. He's going to 318 00:15:35,240 --> 00:15:37,080 Speaker 4: stay on the ballot in a lot of states too, 319 00:15:37,160 --> 00:15:39,040 Speaker 4: And if he stays on the ballot, that's no good 320 00:15:39,040 --> 00:15:40,680 Speaker 4: for Trump. He doesn't get to like at the end 321 00:15:40,680 --> 00:15:42,480 Speaker 4: of it, I'm giving my votes to Trump after the 322 00:15:42,480 --> 00:15:44,840 Speaker 4: election's over. That's not how any of this works. 323 00:15:45,080 --> 00:15:47,000 Speaker 5: Yeah, good point, Rick Wilson. 324 00:15:51,960 --> 00:15:54,680 Speaker 2: We have even more toward dates for you. Did you 325 00:15:54,720 --> 00:15:57,320 Speaker 2: know the linked projects, Rick Wilson have Fast Politics, Bolli 326 00:15:57,360 --> 00:16:00,200 Speaker 2: jug Faster heading out on towur to bring you night 327 00:16:00,280 --> 00:16:03,160 Speaker 2: of laughs for our dark political landscape. Join us on 328 00:16:03,160 --> 00:16:06,080 Speaker 2: August twenty sixth at San Francisco at the Swedish American Hall, 329 00:16:06,400 --> 00:16:09,120 Speaker 2: or in la on August twenty seventh at the Region Theater. 330 00:16:09,520 --> 00:16:11,600 Speaker 2: Then we're headed to the Midwest and we'll be at 331 00:16:11,640 --> 00:16:14,440 Speaker 2: the Vivarium in Milwaukee on the twenty first of September, 332 00:16:14,720 --> 00:16:16,880 Speaker 2: and on the twenty second we'll be in Chicago at 333 00:16:16,920 --> 00:16:19,080 Speaker 2: City Winery. Then we're going to hit the East coast. 334 00:16:19,120 --> 00:16:21,680 Speaker 2: On September thirtieth, we'll be in Boston at Arts at 335 00:16:21,720 --> 00:16:24,360 Speaker 2: the Armory. On the first of October, we'll be Infilliate 336 00:16:24,440 --> 00:16:27,040 Speaker 2: City Winery, and then DC on the second at the 337 00:16:27,080 --> 00:16:29,360 Speaker 2: Miracle Theater and today. We just announced that we'll be 338 00:16:29,400 --> 00:16:32,280 Speaker 2: in New York on the fourteenth of October at City Winery. 339 00:16:32,520 --> 00:16:34,040 Speaker 2: If you need to laugh as we get through this 340 00:16:34,120 --> 00:16:36,800 Speaker 2: election and hopefully never hear from a guy who lives 341 00:16:36,840 --> 00:16:39,480 Speaker 2: in a golf club again, we got you covered. Join 342 00:16:39,600 --> 00:16:41,760 Speaker 2: us in our surprise guests to help you laugh instead 343 00:16:41,760 --> 00:16:43,960 Speaker 2: of cry your way through this election season and give 344 00:16:44,000 --> 00:16:46,920 Speaker 2: you the inside analysis of what's really going on right now. 345 00:16:47,160 --> 00:16:50,080 Speaker 2: Buy your tickets now by heading to Politics as Unusual 346 00:16:50,360 --> 00:16:56,360 Speaker 2: dot bio. That's Politics as Unusual dot bio. Don Buyer 347 00:16:56,480 --> 00:16:58,320 Speaker 2: represents Virginia's eighth district. 348 00:16:58,440 --> 00:17:03,760 Speaker 1: Welcome too, Fast, Congressman Don Bayer, John Fast. 349 00:17:04,640 --> 00:17:06,240 Speaker 5: It's very exciting to have you. 350 00:17:06,240 --> 00:17:09,439 Speaker 1: You are the luckiest congressman because you do have just 351 00:17:09,480 --> 00:17:11,600 Speaker 1: a crazy commute to work, right. 352 00:17:11,520 --> 00:17:15,919 Speaker 7: It's a crazy commute. And more members of Congress, the staffs, 353 00:17:16,520 --> 00:17:20,400 Speaker 7: the retired members, a more peace scorps volunteers, more generals. 354 00:17:20,400 --> 00:17:23,320 Speaker 6: That it's a very politics is our cottage industry? 355 00:17:23,440 --> 00:17:27,000 Speaker 1: Oh wow, that's something, So let's talk about You wanted 356 00:17:27,040 --> 00:17:29,360 Speaker 1: to understand AI, so you went back to college. 357 00:17:29,400 --> 00:17:30,760 Speaker 5: What does that explain? 358 00:17:31,400 --> 00:17:33,280 Speaker 7: Well, I wanted to understand it for a long time 359 00:17:33,320 --> 00:17:35,120 Speaker 7: because I was just fascinated with the idea that we're 360 00:17:35,160 --> 00:17:38,560 Speaker 7: generating so much information that we can't sort through. We 361 00:17:38,560 --> 00:17:42,160 Speaker 7: can't see the connections, whether they are causation or correlation, 362 00:17:42,240 --> 00:17:44,560 Speaker 7: we just don't see them at all. And I tried 363 00:17:44,560 --> 00:17:46,720 Speaker 7: to do it on Coursera, Yeah, but I didn't have 364 00:17:46,800 --> 00:17:49,360 Speaker 7: enough math background to succeed. 365 00:17:49,840 --> 00:17:51,800 Speaker 6: So a couple of years ago, all of us. 366 00:17:51,800 --> 00:17:53,760 Speaker 7: Three years ago, I went back to our local university, 367 00:17:53,760 --> 00:17:57,679 Speaker 7: George Mason University, and started taking the prerequisites for a 368 00:17:57,720 --> 00:17:59,160 Speaker 7: graduate program. 369 00:17:58,720 --> 00:17:59,960 Speaker 6: In machine learning. 370 00:18:00,320 --> 00:18:01,000 Speaker 5: How was that? 371 00:18:01,280 --> 00:18:04,200 Speaker 6: It's fun? I'm not even halfway through sixteen. 372 00:18:03,760 --> 00:18:05,560 Speaker 5: You'll literally go, you're really doing that? 373 00:18:05,800 --> 00:18:06,000 Speaker 1: Yeah. 374 00:18:06,080 --> 00:18:09,080 Speaker 7: Next Monday I start my course on data structures and 375 00:18:09,520 --> 00:18:12,639 Speaker 7: I have to drive out to Fairfax Monday and Wednesday. 376 00:18:12,720 --> 00:18:15,480 Speaker 6: Drives my congressional schedule crazy. Yeah. 377 00:18:15,119 --> 00:18:15,320 Speaker 3: Yeah. 378 00:18:15,520 --> 00:18:16,840 Speaker 5: So here's my question for you. 379 00:18:17,240 --> 00:18:20,919 Speaker 1: One of the ways in which Congress is criticized is 380 00:18:20,960 --> 00:18:23,720 Speaker 1: that a lot of people say this, including myself, not 381 00:18:23,840 --> 00:18:26,240 Speaker 1: that I don't love you guys, but there's not enough 382 00:18:26,240 --> 00:18:28,760 Speaker 1: tech regulation. And some of it is because a lot 383 00:18:28,760 --> 00:18:33,480 Speaker 1: of members don't understand technology. Now, you obviously taking an 384 00:18:33,480 --> 00:18:36,600 Speaker 1: AI course. You know you're doing an AI graduate program, 385 00:18:36,640 --> 00:18:40,120 Speaker 1: so you obviously understand it better than probably ninety nine 386 00:18:40,200 --> 00:18:44,240 Speaker 1: percent of Americans, let alone members of Congress. But is 387 00:18:44,280 --> 00:18:47,040 Speaker 1: that true and why is there so little tech regulation? 388 00:18:47,520 --> 00:18:51,679 Speaker 7: Well, the classic case, Molly is social media were the 389 00:18:51,720 --> 00:18:53,720 Speaker 7: only thing we'd done in twenty five years to say 390 00:18:53,720 --> 00:18:56,280 Speaker 7: we can't soothe them, right. We gave them immunity for lawsuits, 391 00:18:56,600 --> 00:18:58,879 Speaker 7: which is crazy. So we're trying not to make that 392 00:18:58,960 --> 00:19:02,879 Speaker 7: mistake again. The various AI task forces up there, the 393 00:19:02,920 --> 00:19:05,399 Speaker 7: most important one was appointed by the current Speaker and 394 00:19:05,400 --> 00:19:08,160 Speaker 7: by HACKEM Jefferies, twelve Democrats, twelve Republicans. 395 00:19:08,200 --> 00:19:09,480 Speaker 6: So trying to put together. 396 00:19:09,520 --> 00:19:14,000 Speaker 7: A meaningful set of legislative initiatives like next month, you know, 397 00:19:14,040 --> 00:19:17,000 Speaker 7: but we should report by the end of September, hopefully 398 00:19:17,000 --> 00:19:18,560 Speaker 7: pass a bunch by the end of this year. 399 00:19:18,800 --> 00:19:20,840 Speaker 6: Wow. So we're trying to get ahead. 400 00:19:20,880 --> 00:19:22,560 Speaker 7: It's naive to think we'll ever be ahead of the 401 00:19:22,600 --> 00:19:24,200 Speaker 7: American public, but we're trying not. 402 00:19:24,119 --> 00:19:25,600 Speaker 6: To make the same social media mistake. 403 00:19:25,840 --> 00:19:28,800 Speaker 1: I hate to hold Europe up as an example here, 404 00:19:29,080 --> 00:19:32,159 Speaker 1: but they've done a better job with regulating social media 405 00:19:32,560 --> 00:19:35,480 Speaker 1: and it's made a lot of big tech companies very mad, 406 00:19:35,560 --> 00:19:38,719 Speaker 1: which is probably a good sign. Do you think something 407 00:19:38,800 --> 00:19:40,120 Speaker 1: like that could happen here. 408 00:19:40,359 --> 00:19:43,240 Speaker 7: I do you know Europe has already passed an AI 409 00:19:43,359 --> 00:19:46,560 Speaker 7: Act while the EUAI Act, and they worked really hard 410 00:19:46,600 --> 00:19:46,760 Speaker 7: on it. 411 00:19:46,840 --> 00:19:48,600 Speaker 6: I met with them half a dozen times. 412 00:19:49,200 --> 00:19:52,480 Speaker 7: It's generally perceived by most people in America, including the 413 00:19:53,000 --> 00:19:55,000 Speaker 7: AI companies, as being too prescriptive. 414 00:19:55,320 --> 00:19:57,760 Speaker 6: Of course, too legislative. You got to sign up for licensing. 415 00:19:57,800 --> 00:20:00,800 Speaker 5: You don't like any legislation. That's why they think it's 416 00:20:00,840 --> 00:20:01,719 Speaker 5: too legislating. 417 00:20:01,840 --> 00:20:03,719 Speaker 7: And you know, but we're getting all the creativity and 418 00:20:03,720 --> 00:20:06,080 Speaker 7: inventiveness and stuff out of America, so we're trying to 419 00:20:06,119 --> 00:20:10,119 Speaker 7: do light touch. We're trying to address not regulation for 420 00:20:10,200 --> 00:20:13,240 Speaker 7: regulation's sake, but rather where there's a downside. For example, 421 00:20:13,280 --> 00:20:18,080 Speaker 7: think deep fakes, think the challenges with child sexual assault material, 422 00:20:18,280 --> 00:20:21,720 Speaker 7: the way people are using AI to trash their boyfriends 423 00:20:21,760 --> 00:20:23,400 Speaker 7: or their girlfriends that dumped them, things like that. 424 00:20:23,560 --> 00:20:26,919 Speaker 1: So, as someone who comes from journalism, we made a 425 00:20:26,920 --> 00:20:29,080 Speaker 1: lot of free content for tech companies. 426 00:20:29,280 --> 00:20:30,560 Speaker 5: They used it and. 427 00:20:30,520 --> 00:20:34,200 Speaker 1: Basically destroyed all the media companies by using our free content. 428 00:20:34,280 --> 00:20:37,639 Speaker 1: I mean, is there anything prescriptive that Congress could pass? 429 00:20:38,080 --> 00:20:38,280 Speaker 6: Yeah? 430 00:20:38,600 --> 00:20:41,080 Speaker 7: You know, they've started talking mally year ago about or 431 00:20:41,080 --> 00:20:43,240 Speaker 7: two years ago about watermarking. But it has to go 432 00:20:43,400 --> 00:20:45,600 Speaker 7: much deeper than that, because right now, if you're a 433 00:20:45,600 --> 00:20:48,960 Speaker 7: photographer and illustrator, when all that stuff gets loaded into 434 00:20:49,119 --> 00:20:52,200 Speaker 7: one of the big engines, anybody can create something without 435 00:20:52,200 --> 00:20:54,160 Speaker 7: ever needing an all illustrator or a photographer. 436 00:20:54,240 --> 00:20:55,560 Speaker 6: Again, the same thing with. 437 00:20:55,640 --> 00:20:58,520 Speaker 7: Poets with music, right with books, Yeah, you publish a 438 00:20:58,520 --> 00:21:01,359 Speaker 7: book right now, two or three days later, some version 439 00:21:01,440 --> 00:21:04,320 Speaker 7: of that has been generated by AIH and as being marketed. 440 00:21:04,400 --> 00:21:07,400 Speaker 7: So there's a lot more to go to protect intellectual property. 441 00:21:07,480 --> 00:21:08,960 Speaker 5: Yeah, And do you think that can happen? 442 00:21:09,320 --> 00:21:11,840 Speaker 7: I think it has to happen Otherwise who's going to 443 00:21:12,040 --> 00:21:15,439 Speaker 7: create content if you take away all the monetary centers? 444 00:21:15,440 --> 00:21:18,600 Speaker 7: For example, I know the motion picture industry is terrified, 445 00:21:18,800 --> 00:21:19,520 Speaker 7: right about what. 446 00:21:20,000 --> 00:21:20,480 Speaker 6: Something like that? 447 00:21:20,600 --> 00:21:20,959 Speaker 5: Yeah? 448 00:21:21,200 --> 00:21:23,320 Speaker 1: That really does seem like an important thing. Do you 449 00:21:23,359 --> 00:21:25,480 Speaker 1: think there's a bipartisan appetite. 450 00:21:24,960 --> 00:21:27,120 Speaker 7: For that, Yeah, Molly, the good is so far it's 451 00:21:27,320 --> 00:21:33,520 Speaker 7: very bipartisan. The twenty four people of jayobernoltire Republican from California, 452 00:21:33,600 --> 00:21:36,800 Speaker 7: tedlu a Democrat from California, lead the effort, and then 453 00:21:36,800 --> 00:21:38,760 Speaker 7: they've worked hard to try to make sure that that 454 00:21:38,880 --> 00:21:41,880 Speaker 7: stayed together. I think once one of the big challenges 455 00:21:41,880 --> 00:21:43,919 Speaker 7: out there right now is the idea of trying to 456 00:21:43,960 --> 00:21:48,560 Speaker 7: create some kind of long term digital idea that belongs 457 00:21:48,600 --> 00:21:52,600 Speaker 7: to Molly jong Fast or Don Bayer, that we'll get 458 00:21:52,600 --> 00:21:55,960 Speaker 7: away from all the identity theft. That's the only place 459 00:21:55,960 --> 00:21:58,600 Speaker 7: I've seen Republican pushback because they begin to think world 460 00:21:58,640 --> 00:22:01,440 Speaker 7: government or I know, the government's going to know too. 461 00:22:01,440 --> 00:22:04,679 Speaker 1: Much about songs in women's medical offices. 462 00:22:04,800 --> 00:22:07,240 Speaker 6: But nowhere else, nowhere else, Yes, in the bedroom. 463 00:22:07,359 --> 00:22:08,400 Speaker 5: Yeah, it is. 464 00:22:08,600 --> 00:22:10,719 Speaker 1: By the way, are you you have been doing this 465 00:22:10,800 --> 00:22:15,119 Speaker 1: for a while, although also ambassadorships, et cetera. Are you 466 00:22:15,240 --> 00:22:18,560 Speaker 1: surprised at how far right the Republican Party has gone? 467 00:22:19,240 --> 00:22:22,159 Speaker 7: It's nowhere near the Republican Party that I knew. I 468 00:22:22,200 --> 00:22:24,960 Speaker 7: starved eight years in the Virginia Senate. Completely different. 469 00:22:25,040 --> 00:22:25,600 Speaker 6: Yeah than this. 470 00:22:25,760 --> 00:22:27,480 Speaker 7: I mean, we used to work together all the time. 471 00:22:27,800 --> 00:22:30,080 Speaker 7: You can never predict how the vote was going to 472 00:22:30,119 --> 00:22:33,199 Speaker 7: turn out here. You know it'll be two eighteen to 473 00:22:33,240 --> 00:22:36,440 Speaker 7: two fourteen. Almost every time it was contested. 474 00:22:36,160 --> 00:22:40,200 Speaker 1: That no fault divorce thing, Republicans are very passionate about 475 00:22:40,200 --> 00:22:44,680 Speaker 1: repealing no fault divorce signed into law by Ronald Reagan 476 00:22:44,920 --> 00:22:48,440 Speaker 1: in California, discuss there's. 477 00:22:48,280 --> 00:22:49,880 Speaker 6: So many things that they're talking about. 478 00:22:50,040 --> 00:22:53,480 Speaker 7: You know, there are the restrictions on contraception IVF personhood 479 00:22:53,480 --> 00:22:56,119 Speaker 7: at you know, when the sperm hits the ovum. 480 00:22:56,200 --> 00:22:59,400 Speaker 6: Yeah, that are that are just way out of the mainstream. 481 00:22:59,480 --> 00:22:59,680 Speaker 5: Yeah. 482 00:23:00,119 --> 00:23:03,120 Speaker 7: I just think about when you divorced, when somebody had 483 00:23:03,119 --> 00:23:05,119 Speaker 7: to be wrong, somebody had to do something really evil 484 00:23:05,160 --> 00:23:08,120 Speaker 7: to do it. So many people were victimized, thrown under 485 00:23:08,160 --> 00:23:11,080 Speaker 7: the bus, and or families were forced to stay together that. 486 00:23:11,040 --> 00:23:13,680 Speaker 6: Were really bad for them and bad for the children. Yeah, 487 00:23:13,720 --> 00:23:15,919 Speaker 6: and certainly repressed women's. 488 00:23:15,720 --> 00:23:19,679 Speaker 1: Yeah, all it's right. Yeah, thank you so much, Congressman. 489 00:23:19,880 --> 00:23:21,080 Speaker 6: Yeah, thank you, Molly good luck. 490 00:23:21,400 --> 00:23:24,160 Speaker 1: Are you concerned about Project twenty twenty five and how 491 00:23:24,200 --> 00:23:27,879 Speaker 1: awful Trump's second term could be, Well, so are we, 492 00:23:28,160 --> 00:23:30,440 Speaker 1: which is why we teamed up with iHeart to make 493 00:23:30,480 --> 00:23:34,080 Speaker 1: a limited series with the experts on what a disaster 494 00:23:34,560 --> 00:23:38,280 Speaker 1: Project twenty twenty five would be for America's future. Right now, 495 00:23:38,320 --> 00:23:41,600 Speaker 1: we have just released the final episode of this five 496 00:23:41,680 --> 00:23:45,720 Speaker 1: episode series. They're all available by looking up Molly Jong 497 00:23:45,840 --> 00:23:49,359 Speaker 1: Fast Project twenty twenty five on YouTube, and if you 498 00:23:49,400 --> 00:23:53,040 Speaker 1: are more of a podcast person and not say a YouTuber, 499 00:23:53,520 --> 00:23:55,840 Speaker 1: you can hit play and put your phone in the 500 00:23:55,880 --> 00:23:58,920 Speaker 1: lock screen and it will play back just like the podcast. 501 00:23:59,200 --> 00:24:01,600 Speaker 1: All five episodes are online now. 502 00:24:01,800 --> 00:24:02,920 Speaker 5: We need to educate. 503 00:24:02,600 --> 00:24:06,240 Speaker 1: Americans on what Trump's second term would or could do 504 00:24:06,400 --> 00:24:09,240 Speaker 1: to this country. So please watch it and spread the word. 505 00:24:11,720 --> 00:24:14,520 Speaker 3: Caroline Gleek is a candidate for Senate in Utah. 506 00:24:14,600 --> 00:24:19,119 Speaker 1: Welcome to Fast Politics, Caroline, who is running for the 507 00:24:19,359 --> 00:24:23,920 Speaker 1: Mint Romney Senate seat in the great state of Utah. 508 00:24:24,000 --> 00:24:25,720 Speaker 5: That is correct. How are you going to do it? 509 00:24:26,080 --> 00:24:28,359 Speaker 8: We are going to get young voters to turn out, 510 00:24:28,480 --> 00:24:31,600 Speaker 8: to get women to turn out, and you know, when 511 00:24:31,640 --> 00:24:33,680 Speaker 8: young voters and women turn out, we win. 512 00:24:34,080 --> 00:24:38,040 Speaker 1: So Utah start a state in the Democrats talk about 513 00:24:38,119 --> 00:24:38,600 Speaker 1: that much. 514 00:24:38,800 --> 00:24:40,680 Speaker 5: Tell us what you could do in Utah. 515 00:24:40,800 --> 00:24:43,120 Speaker 8: Utah isn't to state that the Democratic parties really had 516 00:24:43,119 --> 00:24:45,200 Speaker 8: their radar on, and I think that is a mistake 517 00:24:45,240 --> 00:24:48,080 Speaker 8: because Utah is already a lot more purple than it seems. 518 00:24:48,440 --> 00:24:52,680 Speaker 8: And in our last presidential election, young LDS voters increasingly 519 00:24:52,760 --> 00:24:53,600 Speaker 8: voted Democratic. 520 00:24:54,000 --> 00:24:56,920 Speaker 5: Interesting, Yes, and we were really. 521 00:24:56,800 --> 00:25:01,320 Speaker 8: Encouraged also by the results of Nikki Haley really reject Trump. 522 00:25:01,480 --> 00:25:04,040 Speaker 5: Yeah, and yeah, it's already a lot more purple. 523 00:25:04,119 --> 00:25:07,200 Speaker 8: Fifty three percent of voters in Utah are registered Republican 524 00:25:07,640 --> 00:25:09,800 Speaker 8: and then a lot of those low are Democrats that 525 00:25:09,880 --> 00:25:13,200 Speaker 8: file that registered Republican to vote in the closed primaries. 526 00:25:13,400 --> 00:25:18,879 Speaker 1: So yeah, Donald Trump has been really alienated the LDS community. 527 00:25:19,119 --> 00:25:20,360 Speaker 5: Can you talk about that? 528 00:25:20,480 --> 00:25:23,880 Speaker 1: He still was able to get Mike Lee, but it 529 00:25:23,920 --> 00:25:25,080 Speaker 1: was real sacrilege. 530 00:25:25,080 --> 00:25:26,760 Speaker 5: Can you talk about that? Yeah? 531 00:25:27,080 --> 00:25:30,960 Speaker 8: Utah voters, we are you know, we have a global perspective, right, 532 00:25:31,000 --> 00:25:34,920 Speaker 8: We're really tolerant of immigrants, right, and we're warm, inclusive people. 533 00:25:35,080 --> 00:25:35,320 Speaker 5: Yeah. 534 00:25:35,480 --> 00:25:40,760 Speaker 8: And the Trump agenda, his rhetoric, his status as a 535 00:25:41,119 --> 00:25:44,680 Speaker 8: convicted felon, the way he openly brags about assaulting women, 536 00:25:45,119 --> 00:25:46,719 Speaker 8: it's not who we are as Utah's right. 537 00:25:47,000 --> 00:25:47,280 Speaker 5: Yeah. 538 00:25:47,359 --> 00:25:51,080 Speaker 8: So Utah voters, in our hearts, we are a really 539 00:25:51,080 --> 00:25:54,879 Speaker 8: warm and inclusive people, global perspective, and we're really ready 540 00:25:54,920 --> 00:25:57,520 Speaker 8: to make some big democratic gains in the state. 541 00:25:57,880 --> 00:26:01,720 Speaker 5: What is your race looking like? Who is your opponent? 542 00:26:01,920 --> 00:26:03,000 Speaker 5: Tell us a little bit. 543 00:26:03,320 --> 00:26:07,920 Speaker 8: Yes, Yes, I won the Democratic Convention with ninety three 544 00:26:07,960 --> 00:26:09,959 Speaker 8: percent of the votes, so I'll be on the ballot 545 00:26:10,040 --> 00:26:10,879 Speaker 8: in November. 546 00:26:10,880 --> 00:26:13,640 Speaker 5: And my opponent is a career politician. 547 00:26:13,840 --> 00:26:16,560 Speaker 8: He's currently serving in the House of Representatives, so he's 548 00:26:16,640 --> 00:26:18,240 Speaker 8: running to serve in the Senate. 549 00:26:18,280 --> 00:26:18,800 Speaker 5: Now. 550 00:26:19,000 --> 00:26:22,639 Speaker 8: And he's a really interesting guy. He's very nice, very charismatic. 551 00:26:22,680 --> 00:26:24,239 Speaker 8: I've worked with him a lot in my role as 552 00:26:24,240 --> 00:26:26,600 Speaker 8: a citizen and climate activist in Congress. 553 00:26:27,080 --> 00:26:28,840 Speaker 5: He talks a big game about what he's. 554 00:26:28,640 --> 00:26:31,560 Speaker 8: Going to do for environment, for climate, but when he 555 00:26:31,600 --> 00:26:34,680 Speaker 8: gets into Congress he actually has a worse environmental voting 556 00:26:34,720 --> 00:26:35,840 Speaker 8: record than Mike Lee. 557 00:26:36,040 --> 00:26:36,359 Speaker 5: Wow. 558 00:26:36,520 --> 00:26:39,120 Speaker 8: Yes, he's the founder of the Conservative Climate Caucus, yet 559 00:26:39,160 --> 00:26:42,240 Speaker 8: he's consistently voted to undermine protections for aaron water. 560 00:26:42,560 --> 00:26:43,520 Speaker 5: He's a greenwasher. 561 00:26:43,840 --> 00:26:47,760 Speaker 1: Why do you think that the Republicans can't get interested 562 00:26:47,960 --> 00:26:48,800 Speaker 1: in climate? 563 00:26:49,400 --> 00:26:52,320 Speaker 8: Just like anything in politics, we have to change the 564 00:26:52,400 --> 00:26:56,240 Speaker 8: role that big money plays. Yeah, but when you look 565 00:26:56,280 --> 00:26:59,760 Speaker 8: at who is funding their campaigns, you see how they 566 00:26:59,760 --> 00:27:01,720 Speaker 8: have to vote. And he is one of the top 567 00:27:01,760 --> 00:27:04,520 Speaker 8: recipients from the fossil fuel industry in Congress, and the 568 00:27:04,560 --> 00:27:09,440 Speaker 8: top recipient from our electric utility provider. So you follow 569 00:27:09,480 --> 00:27:11,119 Speaker 8: the money and then you see how they vote. 570 00:27:11,240 --> 00:27:13,439 Speaker 5: What does climate change look like into Utah? 571 00:27:13,600 --> 00:27:16,959 Speaker 8: First and foremost, we have a huge impact to our 572 00:27:16,960 --> 00:27:19,960 Speaker 8: public health from the air quality. The average uton dies 573 00:27:20,000 --> 00:27:22,640 Speaker 8: on average two years early because of the air quality. 574 00:27:23,000 --> 00:27:25,520 Speaker 8: During these periods of poor air quality, we see an 575 00:27:25,560 --> 00:27:30,880 Speaker 8: increased a sixteen percent increased rate of miscarriages. We see 576 00:27:30,880 --> 00:27:34,359 Speaker 8: cardiac events, mental health challenges asthma. So we get really 577 00:27:34,400 --> 00:27:37,240 Speaker 8: bad air from the burning of fossil fuels and the 578 00:27:37,240 --> 00:27:39,320 Speaker 8: way it gets kind of trapped in our Teacup Valley 579 00:27:39,320 --> 00:27:42,280 Speaker 8: where most of the population of Utah lives. And then 580 00:27:42,520 --> 00:27:46,639 Speaker 8: we've been seeing unprecedented wildfire seasons. We have been seeing 581 00:27:47,400 --> 00:27:51,480 Speaker 8: so many days of record breaking heat. Just we used 582 00:27:51,480 --> 00:27:53,720 Speaker 8: to have only a few days over one hundred degrees 583 00:27:53,760 --> 00:27:56,480 Speaker 8: and now we have these really long stretches, and our 584 00:27:56,800 --> 00:28:00,000 Speaker 8: population that's experiencing homelessness, which has also been in crazy. 585 00:28:00,560 --> 00:28:01,640 Speaker 8: They're dying of the heat. 586 00:28:02,040 --> 00:28:04,280 Speaker 5: Tourists are dying of heat in the national parks. 587 00:28:04,520 --> 00:28:07,200 Speaker 8: And then in the winter we're seeing more snow that's 588 00:28:07,240 --> 00:28:10,479 Speaker 8: falling as rain, which is a big problem for our 589 00:28:10,560 --> 00:28:13,600 Speaker 8: ski industry and the snowsports economy, which is a major 590 00:28:13,680 --> 00:28:16,440 Speaker 8: major part of our economy there. Yeah, so those are 591 00:28:16,440 --> 00:28:18,360 Speaker 8: just some of the impacts, but we expect to see 592 00:28:18,359 --> 00:28:21,840 Speaker 8: a lot worse wildfires, flooding, and other public health impacts. 593 00:28:22,080 --> 00:28:26,240 Speaker 5: Yeah. So interesting and also so upsetting. How it is. 594 00:28:26,720 --> 00:28:28,160 Speaker 5: Can people find out more about you? 595 00:28:28,280 --> 00:28:31,359 Speaker 8: They can go to our website Caroline for Utah dot 596 00:28:31,359 --> 00:28:33,360 Speaker 8: com c A R O L I N E FO 597 00:28:33,520 --> 00:28:37,000 Speaker 8: r Utah dot com. If you can, you can chip 598 00:28:37,000 --> 00:28:38,840 Speaker 8: in a couple bucks. You can do that from any 599 00:28:38,880 --> 00:28:41,320 Speaker 8: state in the nation. Any American citizen can chip in 600 00:28:41,440 --> 00:28:43,280 Speaker 8: and it would really go a long way to ensuring 601 00:28:43,360 --> 00:28:46,520 Speaker 8: we can run the most competitive campaign. And then if 602 00:28:46,520 --> 00:28:48,440 Speaker 8: you want to sign up to volunteer, we can also 603 00:28:48,520 --> 00:28:51,880 Speaker 8: have postcard and phone banking opportunities around the nation and 604 00:28:51,920 --> 00:28:55,200 Speaker 8: we would really appreciate it because every Senate state counts 605 00:28:55,360 --> 00:28:58,120 Speaker 8: and we can't turn our back on the investments into 606 00:28:58,120 --> 00:29:00,920 Speaker 8: these states because we are going take Utah and make 607 00:29:00,960 --> 00:29:01,800 Speaker 8: it into blue Talk. 608 00:29:01,920 --> 00:29:03,880 Speaker 5: Thank you, Caroline. 609 00:29:06,800 --> 00:29:09,360 Speaker 3: Rose. The world represents Connecticut's third district. 610 00:29:09,560 --> 00:29:13,080 Speaker 5: I'm so excited to have you. Welcome to Congress. Woman. 611 00:29:13,400 --> 00:29:16,080 Speaker 5: Thank you. You have done this for a while. 612 00:29:16,520 --> 00:29:21,320 Speaker 1: You have been to a few conventions I have you 613 00:29:21,480 --> 00:29:24,400 Speaker 1: have been, you know, one of the really important members 614 00:29:24,440 --> 00:29:28,320 Speaker 1: who's gotten a ton done progressive legislation. You're just sort 615 00:29:28,360 --> 00:29:31,600 Speaker 1: of a beloved member of Congress. What does it feel 616 00:29:31,800 --> 00:29:35,200 Speaker 1: like to be in this Hairess convention? 617 00:29:35,360 --> 00:29:35,960 Speaker 5: Well, thank you. 618 00:29:36,160 --> 00:29:38,280 Speaker 9: First of all, thank you for the kind words as well. 619 00:29:39,080 --> 00:29:40,760 Speaker 9: I love what I do. I'm blessed to be able 620 00:29:40,840 --> 00:29:43,560 Speaker 9: to serve in the House of Representatives. But I have 621 00:29:43,680 --> 00:29:46,240 Speaker 9: been to a number of conventions since nineteen eighty four. 622 00:29:46,800 --> 00:29:49,959 Speaker 9: I also headed up the platform committee for John Carey 623 00:29:50,200 --> 00:29:52,640 Speaker 9: a number of years ago. But I will tell you 624 00:29:52,680 --> 00:29:57,680 Speaker 9: that we haven't seen the energy, the enthusiasm, the momentum 625 00:29:58,000 --> 00:30:00,520 Speaker 9: like this for such a long time. Two thousand and 626 00:30:00,520 --> 00:30:05,160 Speaker 9: eight we experienced that. But this is palpable. Can I 627 00:30:05,200 --> 00:30:08,920 Speaker 9: give you not from the convention, but just personally before 628 00:30:08,960 --> 00:30:12,080 Speaker 9: I came here, I went to the dentist last week 629 00:30:12,440 --> 00:30:14,280 Speaker 9: and I just went to get my teeth cleaned. I'm 630 00:30:14,280 --> 00:30:16,800 Speaker 9: sitting in the chair and you can't talk or anything. 631 00:30:16,800 --> 00:30:19,560 Speaker 9: But I've got the dental hygienis who's just talking to 632 00:30:19,600 --> 00:30:21,800 Speaker 9: me and talking to me and talking to me about 633 00:30:21,840 --> 00:30:24,440 Speaker 9: how wonderful Kamala Harris is. We need to get people 634 00:30:24,480 --> 00:30:27,320 Speaker 9: out to vote. So I'm saying there is a sense 635 00:30:27,880 --> 00:30:30,880 Speaker 9: of momentum and energy that we haven't seen in a 636 00:30:30,920 --> 00:30:31,440 Speaker 9: long time. 637 00:30:31,600 --> 00:30:33,880 Speaker 5: She raised five hundred million dollars. 638 00:30:34,360 --> 00:30:37,280 Speaker 9: Yes, and she's united. I'll start with uniting the party. 639 00:30:37,800 --> 00:30:38,880 Speaker 9: United the party. 640 00:30:39,240 --> 00:30:41,200 Speaker 5: So I want to ask you a question. 641 00:30:41,520 --> 00:30:46,120 Speaker 1: I have been on so many panels where white pundits 642 00:30:46,440 --> 00:30:50,840 Speaker 1: almost exclusively, men have said that she wasn't the choice, 643 00:30:50,960 --> 00:30:55,120 Speaker 1: they should skip her, they should you pick some other 644 00:30:55,840 --> 00:31:01,600 Speaker 1: group of white people. How many times she's incredible, She's 645 00:31:01,640 --> 00:31:05,320 Speaker 1: done better than anyone could have dreamed about any candidate. 646 00:31:05,600 --> 00:31:07,240 Speaker 5: She was so underestimated. 647 00:31:07,920 --> 00:31:10,800 Speaker 1: And you've done this for such a long time, don't 648 00:31:10,960 --> 00:31:14,440 Speaker 1: do you feel I mean, it must feel like gratifying 649 00:31:14,480 --> 00:31:17,240 Speaker 1: to see how great she is, but also frustrating to see. 650 00:31:17,080 --> 00:31:19,840 Speaker 9: How well you know, the fact is they're wrong. Yeah, 651 00:31:19,840 --> 00:31:23,320 Speaker 9: they're just absolutely wrong. Yeah, And you know, in some 652 00:31:23,360 --> 00:31:26,480 Speaker 9: ways it's a view that women are not up to 653 00:31:26,560 --> 00:31:30,720 Speaker 9: these jobs. And without question, she's up to this job. 654 00:31:31,320 --> 00:31:34,480 Speaker 9: And you know, and she's proving that every day and 655 00:31:34,680 --> 00:31:37,880 Speaker 9: the work that she also did her own background in 656 00:31:37,920 --> 00:31:41,080 Speaker 9: California as a prosecutor, as an attorney general. It's a 657 00:31:41,200 --> 00:31:44,720 Speaker 9: very accomplished women. But it is tougher for women. It's 658 00:31:44,720 --> 00:31:47,480 Speaker 9: tough for women in the House of Representatives. Women have 659 00:31:47,600 --> 00:31:51,600 Speaker 9: to work harder, yes, of course, and nobody hands you anything. 660 00:31:52,240 --> 00:31:54,440 Speaker 9: You have to fight for what you have and you 661 00:31:54,560 --> 00:32:00,000 Speaker 9: get it because of your competence, of your capacity, your credibility, 662 00:32:00,760 --> 00:32:04,280 Speaker 9: and someone who can get the job done, and that 663 00:32:04,440 --> 00:32:08,480 Speaker 9: is who Kamala Harris is and you know, so she's 664 00:32:08,520 --> 00:32:11,320 Speaker 9: been doing it. It's just that there's some people who 665 00:32:11,360 --> 00:32:14,840 Speaker 9: haven't recognized it. But so be it. They're wrong and 666 00:32:14,880 --> 00:32:17,560 Speaker 9: she is proving them wrong. You're a member who's known 667 00:32:17,640 --> 00:32:20,120 Speaker 9: for getting a lot done and being one of. 668 00:32:20,040 --> 00:32:22,800 Speaker 1: Those people who's like, you know, pushing legislation. 669 00:32:23,000 --> 00:32:24,960 Speaker 5: And I've heard this from other members. 670 00:32:25,080 --> 00:32:29,560 Speaker 1: Pelosi is no longer the speaker, but we saw this 671 00:32:29,640 --> 00:32:33,560 Speaker 1: year her power. This talk to me about like women 672 00:32:33,880 --> 00:32:35,000 Speaker 1: congress power. 673 00:32:35,400 --> 00:32:37,520 Speaker 9: Well, yes, I mean, look, first of all, keep in mind, 674 00:32:37,560 --> 00:32:39,520 Speaker 9: know when I went to the Congress, there were fourteen women. 675 00:32:40,040 --> 00:32:42,240 Speaker 9: We now have one hundred and fifty women. And it's 676 00:32:42,280 --> 00:32:46,720 Speaker 9: not the numbers, it's the agenda and how the agenda changes. 677 00:32:46,960 --> 00:32:49,680 Speaker 9: When I first came, you know, which is you know, 678 00:32:49,720 --> 00:32:52,640 Speaker 9: thirty years ago, women and minorities were not included in 679 00:32:52,680 --> 00:32:55,880 Speaker 9: the clinical trials at the National Institutes of Health. We 680 00:32:55,960 --> 00:32:59,840 Speaker 9: know that women are physiologically different than men, but all 681 00:33:00,120 --> 00:33:04,440 Speaker 9: studies were done on men extrapolated to women. Lo and behold, 682 00:33:04,560 --> 00:33:07,960 Speaker 9: we got together on a bipartisan basis, the women of 683 00:33:08,000 --> 00:33:11,760 Speaker 9: the Congress, and we pushed and we pushed, and now 684 00:33:12,160 --> 00:33:15,240 Speaker 9: there are women and minorities who are included in the 685 00:33:15,400 --> 00:33:19,120 Speaker 9: clinical trials. Look at the issues that we're dealing with today. 686 00:33:19,720 --> 00:33:23,720 Speaker 9: Pay equity, equal pay for equal work, is a paid 687 00:33:23,760 --> 00:33:28,480 Speaker 9: family and medical leave, childcare, paid sick days, and for me, 688 00:33:28,600 --> 00:33:31,600 Speaker 9: the Crown Jewel is a child tax credit. Earlier on, 689 00:33:31,640 --> 00:33:34,960 Speaker 9: we thought we were the crazy ants in the attic. No, 690 00:33:34,960 --> 00:33:38,000 Speaker 9: now they are the public discourse. At the center of 691 00:33:38,000 --> 00:33:41,200 Speaker 9: that public discourse. Are all of these issues brought to 692 00:33:41,280 --> 00:33:45,640 Speaker 9: the four by the women in the Congress in addition 693 00:33:45,760 --> 00:33:48,960 Speaker 9: to that, but we could rereach out in the legislative body. 694 00:33:49,000 --> 00:33:51,959 Speaker 9: You have to reach out to build a coalition and 695 00:33:52,000 --> 00:33:56,000 Speaker 9: that is men as well, that you pull in and 696 00:33:56,400 --> 00:33:58,440 Speaker 9: form the coalition to get the job done. 697 00:33:58,560 --> 00:34:01,360 Speaker 1: Is there still bipartisans going on in Congress? 698 00:34:01,600 --> 00:34:04,440 Speaker 9: It's hard on some issues, you know there are and 699 00:34:04,600 --> 00:34:08,600 Speaker 9: members across the aisle can work together. Look, ranking member 700 00:34:08,640 --> 00:34:12,800 Speaker 9: of the Appropriations Committee, I've worked with Tom Cole you 701 00:34:12,840 --> 00:34:15,640 Speaker 9: know in the past Oklahoma, right and I chaired and 702 00:34:15,640 --> 00:34:19,279 Speaker 9: then he chaired the Labor, HHS, Health, Human Services and 703 00:34:19,400 --> 00:34:22,920 Speaker 9: Education Subcommittee. In the past there hadn't been an ability 704 00:34:22,960 --> 00:34:25,560 Speaker 9: to get that bill out of committee. Tom and I 705 00:34:25,640 --> 00:34:29,040 Speaker 9: work together. We have different views. We agreed on some 706 00:34:29,120 --> 00:34:32,040 Speaker 9: things disagreed, but we came to the compromise, which is 707 00:34:32,080 --> 00:34:36,800 Speaker 9: what you're supposed to do, and we passed appropriations bills 708 00:34:37,239 --> 00:34:39,759 Speaker 9: and we did that. I did that as chair two 709 00:34:39,880 --> 00:34:41,799 Speaker 9: years in succession. And you have to do that in 710 00:34:41,840 --> 00:34:44,759 Speaker 9: the bipartisan way because with those bills, if you don't, 711 00:34:44,800 --> 00:34:45,960 Speaker 9: the president doesn't sign. 712 00:34:46,320 --> 00:34:47,400 Speaker 5: Government shuts down. 713 00:34:47,640 --> 00:34:51,040 Speaker 1: Right though Republicans did manage to shut down the government 714 00:34:51,160 --> 00:34:52,720 Speaker 1: once when they controlled. 715 00:34:52,320 --> 00:34:55,920 Speaker 5: All three branches. That's right, which is not nothing. 716 00:34:56,320 --> 00:35:01,360 Speaker 9: No, it shouldn't be, and it shouldn't be now, especially 717 00:35:01,400 --> 00:35:06,200 Speaker 9: with appropriations. You've got to come to a compromise. I 718 00:35:06,239 --> 00:35:08,800 Speaker 9: get some of the things I wanted, I don't get everything, 719 00:35:09,080 --> 00:35:12,000 Speaker 9: and that's the same. It's the same for you. Unfortunately, 720 00:35:12,280 --> 00:35:14,920 Speaker 9: we're in a period of time here where the House 721 00:35:15,000 --> 00:35:20,880 Speaker 9: majority with the Republicans, they have crafted appropriations bills that 722 00:35:21,000 --> 00:35:24,279 Speaker 9: not only can't they get Democratic support, they cannot get 723 00:35:24,320 --> 00:35:28,279 Speaker 9: Republican support. So when we go back in September, it's 724 00:35:28,320 --> 00:35:31,359 Speaker 9: going to be a pretty wild time. And they put 725 00:35:31,400 --> 00:35:36,440 Speaker 9: in all these policy writers that are just ugly poison pills, 726 00:35:36,480 --> 00:35:40,240 Speaker 9: and they do not belong in appropriations bills. Last go round, 727 00:35:40,440 --> 00:35:42,879 Speaker 9: we got rid of ninety nine percent of them will 728 00:35:42,920 --> 00:35:43,239 Speaker 9: do that. 729 00:35:43,320 --> 00:35:46,200 Speaker 1: Again, do you think, I mean, what happened to the 730 00:35:46,239 --> 00:35:47,720 Speaker 1: Republicans in the House. 731 00:35:47,960 --> 00:35:51,279 Speaker 9: Well, you know, look, I think they've been captured by 732 00:35:51,760 --> 00:35:55,520 Speaker 9: a minority that's a very vocal minority that honestly did 733 00:35:55,560 --> 00:35:58,000 Speaker 9: not come to govern. They don't know how to govern, 734 00:35:58,160 --> 00:36:02,520 Speaker 9: and they can't govern, but they don't don't want to govern, right, No, 735 00:36:02,680 --> 00:36:03,200 Speaker 9: they don't. 736 00:36:03,440 --> 00:36:06,120 Speaker 1: When you see these stuff that's in the state houses, 737 00:36:06,120 --> 00:36:12,840 Speaker 1: the Republican state houses, crazy crazy stuff, embryonic personhood, anti 738 00:36:13,080 --> 00:36:16,200 Speaker 1: LGBTQ stuff, does that stuff come. 739 00:36:16,120 --> 00:36:17,280 Speaker 5: Up to the federal government? 740 00:36:17,400 --> 00:36:19,920 Speaker 1: And when you have a Supreme Court that's so in 741 00:36:19,960 --> 00:36:23,960 Speaker 1: the tank for Republicans, how do you push against that? 742 00:36:23,960 --> 00:36:26,360 Speaker 9: That view is alive? And well, I mean, this is 743 00:36:26,400 --> 00:36:30,440 Speaker 9: a full scale assault on women and women's rights. It 744 00:36:30,480 --> 00:36:31,759 Speaker 9: didn't end with Roe v. 745 00:36:31,920 --> 00:36:32,480 Speaker 5: Wade. 746 00:36:33,080 --> 00:36:35,600 Speaker 9: You know, that was a piece they've been They've been 747 00:36:35,680 --> 00:36:39,759 Speaker 9: plotting this for many years. They've now moved really to 748 00:36:39,840 --> 00:36:45,480 Speaker 9: restrict contraception and IVF. So again, as I say, it's 749 00:36:45,480 --> 00:36:49,960 Speaker 9: a full scale assault. And for me, what it portends 750 00:36:50,040 --> 00:36:54,040 Speaker 9: is that this is a lack of respect, a lack 751 00:36:54,200 --> 00:36:58,759 Speaker 9: of trust in women to make decisions on behalf of themselves. 752 00:36:58,800 --> 00:37:01,200 Speaker 9: And their families. Lane and simple, We're. 753 00:37:01,080 --> 00:37:03,760 Speaker 5: Not going to roll it back. Thank you, Thank you. 754 00:37:05,520 --> 00:37:05,759 Speaker 4: Many. 755 00:37:05,840 --> 00:37:09,759 Speaker 3: Routin All represents District thirty two in the Colorado General Assembly. 756 00:37:10,160 --> 00:37:11,520 Speaker 5: Welcome to fast politics. 757 00:37:11,560 --> 00:37:14,000 Speaker 10: Mann, that's right, Thank you so much for having me. 758 00:37:14,040 --> 00:37:16,600 Speaker 5: Mollett, tell us what you do, explain to us. You're 759 00:37:16,640 --> 00:37:17,600 Speaker 5: absolutely so. 760 00:37:17,640 --> 00:37:20,440 Speaker 10: I'm Manny Routinelle. I'm a state representative for Colorado. I 761 00:37:20,480 --> 00:37:23,680 Speaker 10: represent the great people of Commerce City, which you know 762 00:37:23,760 --> 00:37:27,799 Speaker 10: is a community full of vibrant, generous people. Unfortunately, it 763 00:37:27,920 --> 00:37:30,439 Speaker 10: is one of the dirtiest districts, not just in the state, 764 00:37:30,480 --> 00:37:32,880 Speaker 10: but in the entire country. And that's a result of 765 00:37:32,920 --> 00:37:35,400 Speaker 10: industrial polluters that are trying to profit off of the 766 00:37:35,440 --> 00:37:38,080 Speaker 10: backs of people of color and working class families that 767 00:37:38,120 --> 00:37:41,400 Speaker 10: are in my neighborhoods. So my job before I was 768 00:37:41,440 --> 00:37:43,879 Speaker 10: a legislator was to be an environmental attorney to hold 769 00:37:43,880 --> 00:37:46,880 Speaker 10: corporate polluters accountable. So I'm bringing that fight into the 770 00:37:46,920 --> 00:37:49,560 Speaker 10: capital to hold those same corporate polluters accountable. 771 00:37:49,960 --> 00:37:52,400 Speaker 5: You are a state rep in Colorado. 772 00:37:52,719 --> 00:37:56,000 Speaker 1: What can you do because you are at the state level, 773 00:37:56,120 --> 00:37:58,320 Speaker 1: what can you do to hold polluters accountable? 774 00:37:58,480 --> 00:37:58,760 Speaker 6: Sure? 775 00:37:58,880 --> 00:38:01,080 Speaker 10: So, because of the way the clean air at works 776 00:38:01,080 --> 00:38:04,279 Speaker 10: and so many other of our legislation headed from the 777 00:38:04,320 --> 00:38:07,239 Speaker 10: federal government down to the states. States actually have a 778 00:38:07,239 --> 00:38:10,319 Speaker 10: lot of control over how our environmental polluters are able 779 00:38:10,360 --> 00:38:13,920 Speaker 10: to function within our state, whether it's permitting decisions or 780 00:38:13,960 --> 00:38:15,960 Speaker 10: the types of regulations that they have to abide by. 781 00:38:16,280 --> 00:38:18,239 Speaker 10: And so we can pass all sorts of laws to 782 00:38:18,320 --> 00:38:21,680 Speaker 10: tighten regulations, make sure that if they do pollute when 783 00:38:21,680 --> 00:38:24,480 Speaker 10: they're not supposed to be, that those finds are appropriate 784 00:38:24,760 --> 00:38:28,120 Speaker 10: and cover the costs of remediation or covering the healthcare 785 00:38:28,239 --> 00:38:29,840 Speaker 10: costs of the people in the area. 786 00:38:30,320 --> 00:38:33,080 Speaker 5: So you really can sue to get your people covered. 787 00:38:33,280 --> 00:38:35,680 Speaker 10: So we create the laws, then our attorney friends can 788 00:38:35,680 --> 00:38:36,960 Speaker 10: take to sue. 789 00:38:37,400 --> 00:38:39,799 Speaker 6: Yeah, and also agencies as well. Our agencies are able 790 00:38:39,800 --> 00:38:40,200 Speaker 6: to sue. 791 00:38:40,400 --> 00:38:42,560 Speaker 5: Is your governor aligned with those. 792 00:38:42,640 --> 00:38:46,279 Speaker 10: Yes, So we've got Governor Jared Poulis and he has luckily. 793 00:38:46,040 --> 00:38:49,360 Speaker 5: Been interviewed him. Oh great, he's. 794 00:38:49,200 --> 00:38:51,440 Speaker 10: Done a great job. He's been championing these issues for 795 00:38:51,480 --> 00:38:53,359 Speaker 10: a long time. Of course, there's always more to do, 796 00:38:53,800 --> 00:38:56,239 Speaker 10: and I'm sure he's always there to help us get there. 797 00:38:56,360 --> 00:38:59,480 Speaker 10: You know, there's always frustrations when we have to I'm 798 00:38:59,520 --> 00:39:01,560 Speaker 10: supposed to be fighting on behalf of my people as 799 00:39:01,600 --> 00:39:04,239 Speaker 10: hard as I as I can, and he's got more 800 00:39:04,760 --> 00:39:07,560 Speaker 10: different communities to consider, so there's always a little bit 801 00:39:07,600 --> 00:39:09,400 Speaker 10: of attension there, but for the most part, he's been 802 00:39:09,400 --> 00:39:10,399 Speaker 10: a great ally on this fight. 803 00:39:10,840 --> 00:39:14,200 Speaker 1: What do people need to know about your district and 804 00:39:14,280 --> 00:39:15,120 Speaker 1: about your fight? 805 00:39:15,280 --> 00:39:17,759 Speaker 10: What they need to know is that my area is 806 00:39:17,840 --> 00:39:21,640 Speaker 10: an environmental justice community of Latinos, working class people, and 807 00:39:22,200 --> 00:39:23,960 Speaker 10: the reason why it's the most polluted area, not just 808 00:39:23,960 --> 00:39:25,640 Speaker 10: in the state but in the entire country is because 809 00:39:25,640 --> 00:39:28,480 Speaker 10: of these industrial polluters and also the way the highways 810 00:39:28,520 --> 00:39:30,680 Speaker 10: crisscross the area. What they need to know is that 811 00:39:30,719 --> 00:39:33,640 Speaker 10: these people are amazing. They're generous, they're kind, they're loving. 812 00:39:33,719 --> 00:39:36,200 Speaker 10: They want to have everything that every other American wants 813 00:39:36,200 --> 00:39:37,800 Speaker 10: to have. They want to have food on their table, 814 00:39:37,880 --> 00:39:40,920 Speaker 10: a roof over their heads, to hang out outside, playing 815 00:39:40,960 --> 00:39:43,760 Speaker 10: on the playground, whatever it is, and not get cancer. 816 00:39:44,080 --> 00:39:46,719 Speaker 10: And so these are folks just like you and me. Unfortunately, 817 00:39:46,719 --> 00:39:48,440 Speaker 10: they've been put in a really bad position by some 818 00:39:48,480 --> 00:39:50,800 Speaker 10: industrial polluters, and so it's important to hold them accountable. 819 00:39:51,080 --> 00:39:53,840 Speaker 1: What does that look like, higher rates of cancer, higher 820 00:39:54,000 --> 00:39:57,359 Speaker 1: rates of asthma, nice carriages. 821 00:39:56,920 --> 00:39:57,719 Speaker 5: What does that look like? 822 00:39:58,160 --> 00:40:01,040 Speaker 10: You named so many of them pulary shoes of all kinds, 823 00:40:01,120 --> 00:40:04,040 Speaker 10: heart disease, you go down the list, and because of 824 00:40:04,040 --> 00:40:06,799 Speaker 10: the air and water concerns, you have all sorts of 825 00:40:06,840 --> 00:40:09,520 Speaker 10: issues that the community has to face. I've got kids 826 00:40:09,520 --> 00:40:12,680 Speaker 10: that have nose bleeds only in this area as opposed 827 00:40:12,719 --> 00:40:15,040 Speaker 10: to anywhere else. They've got asthma attacks when they're on 828 00:40:15,080 --> 00:40:17,520 Speaker 10: the playgrounds in this area more so than anywhere else. 829 00:40:17,719 --> 00:40:20,080 Speaker 10: So it's a really tough issue for quality of life. 830 00:40:20,120 --> 00:40:22,839 Speaker 10: It's a really tough issue for healthcare costs, and that's 831 00:40:22,880 --> 00:40:25,680 Speaker 10: all borne by this population as opposed to the corporate 832 00:40:25,680 --> 00:40:27,160 Speaker 10: polluters that are making these profits. 833 00:40:27,400 --> 00:40:29,800 Speaker 5: Are any of the corporate polluters still polluting? 834 00:40:30,200 --> 00:40:32,320 Speaker 10: Yeah, unfortunately, we do have a couple. 835 00:40:32,560 --> 00:40:33,920 Speaker 5: Tell us who they are, bad actors? 836 00:40:34,520 --> 00:40:37,799 Speaker 6: You want names, the details? Yeah, yeah, I mean yeah. 837 00:40:37,520 --> 00:40:39,080 Speaker 5: That's good. That's what you're supposed to do. 838 00:40:39,120 --> 00:40:44,000 Speaker 10: Absolutely, yeah, absolutely yeah. So my area has the largest 839 00:40:44,000 --> 00:40:47,360 Speaker 10: oil refinery in the state. It's a company called Suncre, 840 00:40:47,640 --> 00:40:51,560 Speaker 10: and Suncre is actually headquartered or incorporated in Canada, and 841 00:40:51,600 --> 00:40:53,399 Speaker 10: so a lot of the profits that Suncre may have 842 00:40:53,880 --> 00:40:57,760 Speaker 10: goes to Canada. Now, unfortunately, Suncore as an oil refinery 843 00:40:57,800 --> 00:41:01,000 Speaker 10: built many, many, many, many decades ago, isn't in the 844 00:41:01,000 --> 00:41:04,840 Speaker 10: best shape and as a result, their systems fail, and 845 00:41:04,840 --> 00:41:08,920 Speaker 10: when their systems fail, pollution reeks havoc on our communities. 846 00:41:09,120 --> 00:41:13,839 Speaker 1: Yeah, so oil, refinery, suncore, what else is a bad 847 00:41:13,880 --> 00:41:15,080 Speaker 1: polluter in your neighborhood? 848 00:41:15,200 --> 00:41:17,400 Speaker 10: You know, there's all sorts of industrial polluters that are 849 00:41:17,400 --> 00:41:19,040 Speaker 10: playing a role there that I think we need to 850 00:41:19,040 --> 00:41:19,600 Speaker 10: make sure. 851 00:41:19,600 --> 00:41:24,040 Speaker 1: To industries if you don't want to name them, housements. 852 00:41:23,560 --> 00:41:27,279 Speaker 10: All sorts of warehouses that are responsible for a lot 853 00:41:27,280 --> 00:41:30,040 Speaker 10: of transportation related emissions that I think we need to 854 00:41:30,080 --> 00:41:33,600 Speaker 10: electrify those industries as much as possible. So it's all 855 00:41:33,640 --> 00:41:37,120 Speaker 10: sorts of different polluters, and it's a really complex web. Unfortunately, 856 00:41:37,200 --> 00:41:39,680 Speaker 10: once an area becomes polluted, then you keep piling it 857 00:41:39,719 --> 00:41:42,040 Speaker 10: on and I think that's where we're at right now. 858 00:41:42,200 --> 00:41:43,520 Speaker 5: So that's really interesting. 859 00:41:43,880 --> 00:41:46,160 Speaker 1: Is there anything you can do on the healthcare side 860 00:41:46,280 --> 00:41:47,320 Speaker 1: to help these people? 861 00:41:47,600 --> 00:41:50,239 Speaker 10: Yeah, I mean there's all sorts of healthcare related things 862 00:41:50,239 --> 00:41:52,799 Speaker 10: that we can help cover. A big part of what 863 00:41:52,880 --> 00:41:54,799 Speaker 10: I think we need to be doing is in the 864 00:41:54,840 --> 00:41:57,839 Speaker 10: process of holding these corporations accountable, making sure that the 865 00:41:57,880 --> 00:42:00,400 Speaker 10: fines that we place on them are you use to 866 00:42:00,520 --> 00:42:02,080 Speaker 10: help the community. 867 00:42:01,719 --> 00:42:02,560 Speaker 6: As much as possible. 868 00:42:02,600 --> 00:42:05,040 Speaker 10: As being supposed to being shipped off to another part 869 00:42:05,080 --> 00:42:07,760 Speaker 10: of the state, and so that could be covering healthcare 870 00:42:07,800 --> 00:42:11,480 Speaker 10: costs that could be electrifying a lot of the transportation, 871 00:42:11,640 --> 00:42:14,560 Speaker 10: like the buses for instance, things of that nature. So 872 00:42:14,600 --> 00:42:16,520 Speaker 10: I think we can cover healthcare costs, or we can 873 00:42:16,520 --> 00:42:19,479 Speaker 10: cover a lot of the upstream causes of those healthcare costs. 874 00:42:19,520 --> 00:42:21,360 Speaker 10: And I think that's where I think a lot of 875 00:42:21,400 --> 00:42:24,000 Speaker 10: folks want to spend most of our time and resources. 876 00:42:24,040 --> 00:42:27,040 Speaker 5: So interesting, so important. Thank you many, Thank. 877 00:42:26,920 --> 00:42:27,279 Speaker 3: You so much. 878 00:42:27,320 --> 00:42:33,319 Speaker 4: Molly, No momentuod. 879 00:42:32,480 --> 00:42:34,759 Speaker 5: Do you have a moment of uckeray Rick Wilson, Yeah, 880 00:42:35,000 --> 00:42:35,600 Speaker 5: mor of fuckery. 881 00:42:35,640 --> 00:42:38,440 Speaker 4: This week is, as we talked about a little bit earlier, 882 00:42:38,640 --> 00:42:42,040 Speaker 4: this sort of freakish double standard that Vice President Harris 883 00:42:42,080 --> 00:42:44,160 Speaker 4: and Tim Wallas are being held to on the matters 884 00:42:44,239 --> 00:42:47,920 Speaker 4: of policy and media access. Unless you're in Donald Trump's 885 00:42:47,920 --> 00:42:51,240 Speaker 4: sacred circle, you don't get media access to Donald Trump 886 00:42:51,239 --> 00:42:53,120 Speaker 4: in a real and meaningful way. What you get is 887 00:42:53,160 --> 00:42:55,799 Speaker 4: the Trump Show. You get the Donald Trump standing on 888 00:42:55,840 --> 00:42:57,719 Speaker 4: the stage, you know, like you just come off there 889 00:42:57,760 --> 00:43:01,759 Speaker 4: from helping paint thinner and just randomly fucking blurting out 890 00:43:01,840 --> 00:43:07,160 Speaker 4: lies that are rarely contemporariously fact checked, and rarely he 891 00:43:07,160 --> 00:43:09,640 Speaker 4: held to account as someone who is a guy who 892 00:43:09,719 --> 00:43:13,480 Speaker 4: incited a violent insurrection. He's rarely held to account as 893 00:43:13,480 --> 00:43:16,440 Speaker 4: a guy who overturned Roe v. Wade and brags about it. 894 00:43:16,480 --> 00:43:18,920 Speaker 4: And there's a sense of like, oh, well, Trump changes positions, 895 00:43:18,960 --> 00:43:21,640 Speaker 4: so we're just gonna treat that change of position as 896 00:43:21,680 --> 00:43:24,759 Speaker 4: if it's real. Yes, And with Harris, it's like I'm 897 00:43:24,800 --> 00:43:26,960 Speaker 4: starting to see coverage like in this case that she 898 00:43:27,120 --> 00:43:30,840 Speaker 4: tried in two thousand and one, it's there were questions 899 00:43:30,880 --> 00:43:34,000 Speaker 4: about whether or not the police handled the DNA evidence 900 00:43:34,040 --> 00:43:38,839 Speaker 4: properly in a related case. It's so fucking randomly, you know, 901 00:43:39,360 --> 00:43:43,560 Speaker 4: tangentially connected. They ignore the shit about Trump or I 902 00:43:43,600 --> 00:43:45,560 Speaker 4: get this and you know, you know you get this too, 903 00:43:45,600 --> 00:43:48,480 Speaker 4: for oh, everybody knows that. Everybody knows that about Trump. 904 00:43:48,560 --> 00:43:50,360 Speaker 4: That's all bigd in the cake. Don't worry about people 905 00:43:50,400 --> 00:43:52,560 Speaker 4: get Trump. They know it's just a lie. They know 906 00:43:52,640 --> 00:43:54,600 Speaker 4: he's lying. We don't have to report that he's lying 907 00:43:54,640 --> 00:44:00,640 Speaker 4: because they know that's not how this works. That's my 908 00:44:01,280 --> 00:44:05,240 Speaker 4: fockery and brought the media and here we are once again. 909 00:44:05,400 --> 00:44:06,720 Speaker 5: And my moment of rockery. 910 00:44:06,880 --> 00:44:08,680 Speaker 1: It's going to be close to yours, which is that 911 00:44:08,960 --> 00:44:10,759 Speaker 1: I'm actually going to talk about Tim Walls or I 912 00:44:10,760 --> 00:44:14,160 Speaker 1: am gonna Tim Walls. We saw a number of fake scandals. 913 00:44:14,239 --> 00:44:19,400 Speaker 1: Axios had something Axios reporter are and retweeted the editor 914 00:44:19,520 --> 00:44:21,919 Speaker 1: of the Washington Free Beacon. Let me tell you guys 915 00:44:21,920 --> 00:44:24,279 Speaker 1: a secret about the Washington Free Beacon that is not 916 00:44:24,440 --> 00:44:25,400 Speaker 1: a real newspaper. 917 00:44:26,360 --> 00:44:27,719 Speaker 5: And Rick Wilson, I would. 918 00:44:27,480 --> 00:44:30,120 Speaker 1: Like you to take a minute to explain to listeners 919 00:44:30,160 --> 00:44:31,719 Speaker 1: what the Washington Free Beacon is. 920 00:44:31,840 --> 00:44:34,560 Speaker 4: Go the Free Bacon, the Daily Caller. 921 00:44:35,000 --> 00:44:38,359 Speaker 1: But Free Beacon is literally funded by fancy Republicans as 922 00:44:38,360 --> 00:44:39,920 Speaker 1: an oppo dump machee. 923 00:44:40,080 --> 00:44:42,200 Speaker 4: Well, and that's what the Daily Caller was funded by 924 00:44:42,200 --> 00:44:46,040 Speaker 4: Foster Freeze for generation. What those things exist to do? 925 00:44:47,280 --> 00:44:51,600 Speaker 4: Daily Caller and Free Bacon especially, they are the cheapest 926 00:44:51,640 --> 00:44:54,640 Speaker 4: way to pass a hit piece along. Okay, after I 927 00:44:54,840 --> 00:44:58,360 Speaker 4: Trump pissed off last week, they immediately sent whatever opa 928 00:44:58,400 --> 00:45:01,200 Speaker 4: bullshit to the Free Beacon, the Daily call or whatever 929 00:45:01,200 --> 00:45:03,320 Speaker 4: it is, and they're firing emails at us like only 930 00:45:03,360 --> 00:45:06,359 Speaker 4: to respond to something that happened in twenty twenty. Fuck 931 00:45:06,440 --> 00:45:09,759 Speaker 4: off their whole world. Their whole range of behavior is 932 00:45:09,840 --> 00:45:14,360 Speaker 4: to try to launder bullshit opo so that the New 933 00:45:14,480 --> 00:45:18,200 Speaker 4: York Times picks it up, or the Washington Post picks 934 00:45:18,239 --> 00:45:20,960 Speaker 4: it up, or that Politico picks it up. They post 935 00:45:21,000 --> 00:45:23,399 Speaker 4: these stories that are always structured in such a way 936 00:45:23,600 --> 00:45:26,680 Speaker 4: if you read them correctly, you can identify which oppo 937 00:45:26,800 --> 00:45:28,839 Speaker 4: researcher wrote the fucking thing for them. 938 00:45:29,000 --> 00:45:32,840 Speaker 1: Yes, the Washington Free Beacon out a piece that said 939 00:45:33,320 --> 00:45:36,040 Speaker 1: Waltz boasted in nineteen ninety three he was named the 940 00:45:36,080 --> 00:45:39,480 Speaker 1: Outstanding Young Nebraska of the Nebraska Chamber of Commerce. 941 00:45:39,600 --> 00:45:41,080 Speaker 5: Well, it turns. 942 00:45:40,680 --> 00:45:45,120 Speaker 1: Out what that means is that basically there was a 943 00:45:45,440 --> 00:45:49,440 Speaker 1: kind of typo and it had said, in fact, he 944 00:45:49,560 --> 00:45:53,800 Speaker 1: was the junior the outstanding young Nebraska. He was actually 945 00:45:53,800 --> 00:45:58,480 Speaker 1: the outstanding by the Nebraska Junior Chamber of Commerce. And 946 00:45:58,560 --> 00:46:03,400 Speaker 1: this is a scandal which Alex Thompson from Axios has found. 947 00:46:03,560 --> 00:46:04,720 Speaker 5: It was a typo. 948 00:46:05,200 --> 00:46:08,240 Speaker 4: This is the kind of gotcha bullshit that these guys 949 00:46:08,280 --> 00:46:12,040 Speaker 4: just absolutely love, and they do it to launder it 950 00:46:12,120 --> 00:46:14,040 Speaker 4: so that the mainstream press will pick it up. And 951 00:46:14,080 --> 00:46:17,360 Speaker 4: they do it for well they did it before, for clicks. 952 00:46:17,719 --> 00:46:21,239 Speaker 4: Even though what you should know is Bridebart, Daily Call 953 00:46:21,320 --> 00:46:26,520 Speaker 4: or Free Beacon, National Review, Gayway Pundit all these things 954 00:46:26,520 --> 00:46:29,480 Speaker 4: in the right wing media sphere. They've been collapsing for 955 00:46:29,520 --> 00:46:32,200 Speaker 4: a long time in terms of their readership, and at 956 00:46:32,239 --> 00:46:35,040 Speaker 4: the moment, in the last set of com Score numbers, 957 00:46:35,120 --> 00:46:37,839 Speaker 4: all of them are falling off a cliff. I mean, 958 00:46:39,280 --> 00:46:42,120 Speaker 4: Magazine probably has more readers than the Free Beacon. 959 00:46:42,280 --> 00:46:43,240 Speaker 5: That's amazing. 960 00:46:43,280 --> 00:46:46,080 Speaker 1: And look, you know they're working super hard because I'm 961 00:46:46,080 --> 00:46:48,560 Speaker 1: going to tell you a secret about Tim Walls. 962 00:46:48,640 --> 00:46:49,880 Speaker 5: He's very popular. 963 00:46:50,280 --> 00:46:52,319 Speaker 4: Yeah, they're going to have to really really up their 964 00:46:52,360 --> 00:46:54,360 Speaker 4: game if they want to try to take down Tim Walls. 965 00:46:54,440 --> 00:46:57,919 Speaker 4: And so far, see, they made the worst OPA mistake, right, 966 00:46:58,120 --> 00:47:01,120 Speaker 4: They made a fundamental opera mistake. Ma pros know. But 967 00:47:01,360 --> 00:47:03,200 Speaker 4: a lot of these people grew up in like the 968 00:47:03,320 --> 00:47:06,080 Speaker 4: Trump era, where we were in a particular lacuna in 969 00:47:06,120 --> 00:47:09,640 Speaker 4: our media and political history where a tweet or a 970 00:47:09,680 --> 00:47:12,840 Speaker 4: post on Gateway pundit could change an election, not a 971 00:47:13,200 --> 00:47:15,680 Speaker 4: good way. But they made an opera mistake. They should 972 00:47:15,680 --> 00:47:18,440 Speaker 4: have led up with the small shit. Okay, they should 973 00:47:18,440 --> 00:47:20,319 Speaker 4: have let up and said, oh, well, we'll start with 974 00:47:20,560 --> 00:47:22,920 Speaker 4: did he lie about this Chamber of Commerce thing? And 975 00:47:22,960 --> 00:47:25,040 Speaker 4: then find some of the little bullshit thing a little 976 00:47:25,200 --> 00:47:26,560 Speaker 4: and then you say, when they hit him with the 977 00:47:26,560 --> 00:47:29,080 Speaker 4: big one. There's a pattern of deceptive behavior on the 978 00:47:29,080 --> 00:47:32,600 Speaker 4: part of them, right, They're too impulsive and stupid to 979 00:47:32,680 --> 00:47:35,239 Speaker 4: do that kind of thing, and they just don't understand it. 980 00:47:35,320 --> 00:47:38,240 Speaker 4: And Harris has learned a trick, one that I've learned, 981 00:47:38,600 --> 00:47:42,000 Speaker 4: you know, painfully, is when those people in that particular 982 00:47:42,080 --> 00:47:45,120 Speaker 4: part of the Maggi ecosphere are going after you ignore them. 983 00:47:45,480 --> 00:47:47,919 Speaker 4: Learning walls could do in that case to help their 984 00:47:48,120 --> 00:47:53,040 Speaker 4: their case is to somehow go out and teres with outrage. 985 00:47:53,200 --> 00:47:58,600 Speaker 4: That's why Harris whenever somebody says Cambela colombabla, oh campbell 986 00:47:58,800 --> 00:48:02,279 Speaker 4: a dingdong, all that fucking bullshit they're doing, they desperately 987 00:48:02,360 --> 00:48:05,000 Speaker 4: want the Harris campaign to go, oh, dull, you must 988 00:48:05,040 --> 00:48:08,520 Speaker 4: pronounce your name, you up, regis scoundrel and stead They're 989 00:48:08,600 --> 00:48:10,880 Speaker 4: like the fuck out of here. Yeah, that is the 990 00:48:10,920 --> 00:48:14,200 Speaker 4: way to handle these people. You cannot give them the 991 00:48:14,440 --> 00:48:18,000 Speaker 4: attention that will help them elevate the story. You have 992 00:48:18,080 --> 00:48:20,960 Speaker 4: to just move on, kick ass, go past them. 993 00:48:21,000 --> 00:48:25,600 Speaker 5: Exactly. That is right. Thank you, Rick Wilson, Thank you well. 994 00:48:25,640 --> 00:48:28,120 Speaker 4: With John Fast, I will be seeing you tomorrow. 995 00:48:29,920 --> 00:48:33,279 Speaker 1: That's it for this episode of Fast Politics. Tune in 996 00:48:33,320 --> 00:48:36,560 Speaker 1: every Monday Wednesday and Friday to hear the best minds 997 00:48:36,560 --> 00:48:37,799 Speaker 1: in politics. 998 00:48:37,280 --> 00:48:39,280 Speaker 5: Make sense of all this chaos. 999 00:48:39,560 --> 00:48:42,120 Speaker 1: If you enjoyed what you've heard, please send it to 1000 00:48:42,160 --> 00:48:45,560 Speaker 1: a friend and keep the conversation going. And again, thanks 1001 00:48:45,560 --> 00:48:46,200 Speaker 1: for listening.