1 00:00:00,600 --> 00:00:04,120 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:12,399 Speaker 1: today's best minds. Daily Beast Washington bureau chief Matt Fuller 4 00:00:12,680 --> 00:00:16,000 Speaker 1: joins us to talk about the power struggles in the 5 00:00:16,040 --> 00:00:20,200 Speaker 1: Republican Party for their leadership positions. Then we're joined by 6 00:00:20,400 --> 00:00:24,239 Speaker 1: Doug rush Gooff, who is the author of Survival of 7 00:00:24,280 --> 00:00:27,560 Speaker 1: the Richest, who will tell us about what he's seeing 8 00:00:27,720 --> 00:00:32,320 Speaker 1: with f TX and Elon Must's latest chaos. But first 9 00:00:32,600 --> 00:00:36,720 Speaker 1: we have the host of Countdown with Keith Olberman. It's 10 00:00:36,800 --> 00:00:41,280 Speaker 1: Keith Oberman. Welcome to Fast Politics. Keith Oberman. Nice to 11 00:00:41,280 --> 00:00:45,400 Speaker 1: be back. So you cannot tweet, No, I can tweet. 12 00:00:45,440 --> 00:00:48,960 Speaker 1: This is part of the deterioration of the mechanical systems 13 00:00:49,000 --> 00:00:53,000 Speaker 1: around loan scums control of Twitter. I have wanted to 14 00:00:53,040 --> 00:00:54,640 Speaker 1: make a big deal about this because I don't want 15 00:00:54,680 --> 00:00:57,560 Speaker 1: anybody to notice. But previously, if you're suspended for any 16 00:00:57,640 --> 00:00:59,959 Speaker 1: length of time on Twitter, they shut down anything can 17 00:01:00,000 --> 00:01:02,840 Speaker 1: acted with you. I have two other accounts. I've been 18 00:01:02,840 --> 00:01:05,600 Speaker 1: tweeting from them, and in point of fact, because the 19 00:01:05,680 --> 00:01:08,600 Speaker 1: right wingers were so busy, you know, laughing at the Libs. 20 00:01:08,800 --> 00:01:11,160 Speaker 1: Because I got suspended, and the other reporters did that, 21 00:01:11,200 --> 00:01:15,520 Speaker 1: they kept retweeting the promos from my podcast. So last 22 00:01:15,560 --> 00:01:20,520 Speaker 1: what was it Friday, we got more downloads than usual 23 00:01:20,640 --> 00:01:23,240 Speaker 1: because the right wingers kept retweeting it from my dog 24 00:01:23,280 --> 00:01:28,720 Speaker 1: account that I can tweet. I just can't tweet under 25 00:01:28,760 --> 00:01:31,040 Speaker 1: my main account with the blue check mark. And it's 26 00:01:31,080 --> 00:01:34,040 Speaker 1: just who knows when it will come back. I dropped 27 00:01:34,040 --> 00:01:37,600 Speaker 1: my appeal. It's sometimes it says you'll be restored in 28 00:01:37,680 --> 00:01:40,240 Speaker 1: three days and twelve hours, and sometimes it says your 29 00:01:40,240 --> 00:01:44,000 Speaker 1: account has been locked. The whole infrastructure mechanically of Twitter 30 00:01:44,040 --> 00:01:46,600 Speaker 1: has also, in addition to the editorial end gone to 31 00:01:46,680 --> 00:01:48,560 Speaker 1: hell in a handbast. What do you think the end 32 00:01:48,600 --> 00:01:51,120 Speaker 1: game here is. I really do think it's what it 33 00:01:51,200 --> 00:01:53,560 Speaker 1: looks like, which is that Elon Musk is another one 34 00:01:53,600 --> 00:01:58,280 Speaker 1: of these megalomaniacs, and this is about him satisfying himself 35 00:01:58,320 --> 00:02:01,480 Speaker 1: that there is a pleasure that somebody like this can 36 00:02:01,520 --> 00:02:06,200 Speaker 1: derive only from being Gulliver in Lilliput, where you know, 37 00:02:06,320 --> 00:02:10,040 Speaker 1: he's seven feet tall and everybody else's is three quarters 38 00:02:10,040 --> 00:02:12,000 Speaker 1: of an inch tall and they're all praying to him. 39 00:02:12,040 --> 00:02:14,200 Speaker 1: I mean, that's that's what it's about. I mean, that's 40 00:02:14,200 --> 00:02:16,799 Speaker 1: obviously what Trump is about at his core, and I 41 00:02:16,880 --> 00:02:19,040 Speaker 1: think that's what this is. I mean, you know, it's 42 00:02:19,120 --> 00:02:23,080 Speaker 1: clear from the public record that he's his perceptions of 43 00:02:23,120 --> 00:02:25,160 Speaker 1: reality are a little bit different than the average person 44 00:02:25,240 --> 00:02:27,440 Speaker 1: to begin with, and then you throw in everything else 45 00:02:27,440 --> 00:02:29,520 Speaker 1: that's going on, and I think this is really about 46 00:02:29,600 --> 00:02:33,000 Speaker 1: him enjoying this role. And you know, you can you 47 00:02:33,040 --> 00:02:34,880 Speaker 1: can look into the other things, which is the people 48 00:02:34,880 --> 00:02:38,200 Speaker 1: who are helping and finance this would like to end democracy, 49 00:02:38,280 --> 00:02:39,760 Speaker 1: and it would be a good thing to do, would 50 00:02:39,760 --> 00:02:41,440 Speaker 1: be to get rid of Twitter, since it's been pretty 51 00:02:41,480 --> 00:02:44,640 Speaker 1: much a free forum for democracy. There are other things 52 00:02:44,680 --> 00:02:46,720 Speaker 1: to it, but at heart, this is about Elon Musk's ego. 53 00:02:47,040 --> 00:02:49,680 Speaker 1: So he just wants to be the main character and 54 00:02:49,760 --> 00:02:52,400 Speaker 1: have like these all right people suck up to him. 55 00:02:52,800 --> 00:02:55,480 Speaker 1: If there were some way for it to be the 56 00:02:55,520 --> 00:02:57,640 Speaker 1: same kind of response from liberals, he would have gone 57 00:02:57,680 --> 00:03:00,679 Speaker 1: there first probably, or he'd go there as well. Or 58 00:03:01,120 --> 00:03:03,800 Speaker 1: it was just just women, or is just left handers 59 00:03:03,960 --> 00:03:06,800 Speaker 1: or just sports people, whoever it was. You see it 60 00:03:06,840 --> 00:03:10,320 Speaker 1: in miniature throughout Twitter and every other social media platform. 61 00:03:10,360 --> 00:03:13,280 Speaker 1: I remember there was once thirty years ago there was 62 00:03:13,320 --> 00:03:18,040 Speaker 1: a leftover chat room about my first MSNBC show, which 63 00:03:18,080 --> 00:03:20,440 Speaker 1: somebody pointed out to me once, and it was it 64 00:03:20,520 --> 00:03:24,040 Speaker 1: was thirty or forty people, almost all women, and the 65 00:03:24,080 --> 00:03:27,280 Speaker 1: star there was a woman who claimed to have been 66 00:03:27,360 --> 00:03:30,200 Speaker 1: my former girlfriend, and she was like the guru to 67 00:03:30,280 --> 00:03:33,200 Speaker 1: these other people, and it was everything that she she 68 00:03:33,320 --> 00:03:36,920 Speaker 1: spoke as if it were a unique development or something 69 00:03:36,920 --> 00:03:40,800 Speaker 1: only she knew was publicly available from newspaper interviews, but 70 00:03:40,840 --> 00:03:42,400 Speaker 1: the other ones didn't know that, and she was the 71 00:03:42,480 --> 00:03:44,720 Speaker 1: giant in the field. And then she pointed out something 72 00:03:44,720 --> 00:03:46,960 Speaker 1: in there about how I supposedly threw out a car 73 00:03:47,480 --> 00:03:50,600 Speaker 1: door while I was driving home and I got on 74 00:03:50,640 --> 00:03:52,040 Speaker 1: this board and I said, you guys, do know I 75 00:03:52,080 --> 00:03:56,960 Speaker 1: don't drive right? And she disappeared. And the whole psychology 76 00:03:57,040 --> 00:04:00,360 Speaker 1: of people who have to be the star and have 77 00:04:00,520 --> 00:04:03,600 Speaker 1: to boast and and will lie about anything or say 78 00:04:03,680 --> 00:04:07,600 Speaker 1: anything or take any position to have people around them 79 00:04:07,600 --> 00:04:09,720 Speaker 1: to have worshippers. I mean, we're seeing this with the 80 00:04:10,600 --> 00:04:13,440 Speaker 1: congressman who never was. It's the same, you know, it's 81 00:04:13,480 --> 00:04:16,719 Speaker 1: the same story. It's what where where it all ties 82 00:04:16,760 --> 00:04:20,080 Speaker 1: back to something being wrong emotionally with the person you're 83 00:04:20,080 --> 00:04:24,640 Speaker 1: talking about. So do you think ultimately that he ends 84 00:04:24,680 --> 00:04:28,440 Speaker 1: up sort of disappearing. I don't know something rooted back 85 00:04:28,520 --> 00:04:32,480 Speaker 1: to the stalker. I mean, the stalker story is is legit. 86 00:04:32,760 --> 00:04:35,360 Speaker 1: It's just not that just didn't have anything to do 87 00:04:35,880 --> 00:04:38,839 Speaker 1: with the with the airplane account. He just conflated the 88 00:04:38,839 --> 00:04:41,640 Speaker 1: two things and was looking for people to blame. So 89 00:04:41,760 --> 00:04:44,920 Speaker 1: I don't know. I don't know what this tells us 90 00:04:45,120 --> 00:04:47,120 Speaker 1: about what he's going to do long term. I do 91 00:04:47,240 --> 00:04:52,560 Speaker 1: think that that pole was was designed the poll should 92 00:04:52,640 --> 00:04:55,239 Speaker 1: I leave Twitter or should I resign as the chief 93 00:04:55,240 --> 00:04:59,000 Speaker 1: of Twitter? I think that was designed. People are saying, well, 94 00:04:59,040 --> 00:05:00,840 Speaker 1: that that was his way out. I think it's the 95 00:05:00,880 --> 00:05:02,320 Speaker 1: other way around. I think it was a way for 96 00:05:02,400 --> 00:05:04,880 Speaker 1: him to tell himself he should keep doing it because 97 00:05:04,920 --> 00:05:07,400 Speaker 1: everybody loves him, and he didn't get that vote, and 98 00:05:07,440 --> 00:05:08,880 Speaker 1: that's why he hadn't said anything about it, because he 99 00:05:08,920 --> 00:05:11,800 Speaker 1: doesn't know what to say. I don't know how this ends. 100 00:05:11,839 --> 00:05:14,560 Speaker 1: I do think clearly he has driven the value of 101 00:05:14,600 --> 00:05:17,280 Speaker 1: this into the ground, as he's done with Tesla, and 102 00:05:17,320 --> 00:05:19,960 Speaker 1: I suspect the Tesla board will at some point take 103 00:05:20,000 --> 00:05:21,960 Speaker 1: the company away from him, and then who knows, maybe 104 00:05:21,960 --> 00:05:23,920 Speaker 1: he has more time to deal with Twitter, or maybe 105 00:05:24,000 --> 00:05:26,359 Speaker 1: has to spend all his time fighting at TESLA and 106 00:05:26,360 --> 00:05:28,640 Speaker 1: he pays no attention to Twitter. I mean, I really 107 00:05:28,680 --> 00:05:32,920 Speaker 1: don't know what's next. So yesterday was this big hearing 108 00:05:33,000 --> 00:05:37,359 Speaker 1: for January six. They suggested criminal charges to the d 109 00:05:37,440 --> 00:05:39,839 Speaker 1: o J. The d J has been working. We saw 110 00:05:40,000 --> 00:05:42,680 Speaker 1: just in use Hit today that the DJ has been 111 00:05:42,680 --> 00:05:46,080 Speaker 1: working with the January six committee since at least December five, 112 00:05:46,400 --> 00:05:50,200 Speaker 1: sending over overseas all their information. That gives me the 113 00:05:50,279 --> 00:05:54,560 Speaker 1: sense that justice is slowly winding its way over to 114 00:05:54,680 --> 00:05:57,080 Speaker 1: Donald Trump. Do you think that's true or now? Boy? 115 00:05:57,120 --> 00:06:00,360 Speaker 1: I hope So I still have this PTSD from Mueller 116 00:06:00,560 --> 00:06:02,680 Speaker 1: that I don't think any of us who have this 117 00:06:02,839 --> 00:06:05,640 Speaker 1: are going to get rid of that easily because you 118 00:06:05,640 --> 00:06:08,159 Speaker 1: know the construction that you would you would make in 119 00:06:08,200 --> 00:06:10,880 Speaker 1: your mind if you were Garland and you were more 120 00:06:10,920 --> 00:06:16,320 Speaker 1: concerned about protecting the structure and UH and UH conventions 121 00:06:16,320 --> 00:06:19,520 Speaker 1: of the United States of America rather than actually preserving 122 00:06:19,640 --> 00:06:23,880 Speaker 1: the United States of America, you would appoint a special counsel. 123 00:06:23,920 --> 00:06:26,239 Speaker 1: So essentially you would reset the clock back to zero 124 00:06:26,360 --> 00:06:29,800 Speaker 1: on this. And there's a special counsel. So I will 125 00:06:29,839 --> 00:06:32,880 Speaker 1: maintain that suspicion until I see indictments. But yeah, I 126 00:06:32,880 --> 00:06:36,040 Speaker 1: mean that what what what I thought has been encouraging 127 00:06:36,080 --> 00:06:38,920 Speaker 1: about the Special Counsel and Smith was that he's widened 128 00:06:39,240 --> 00:06:41,360 Speaker 1: what he's been investigating. I mean, he went in there 129 00:06:41,360 --> 00:06:44,840 Speaker 1: with essentially two assignments and he's now up to at 130 00:06:44,920 --> 00:06:49,440 Speaker 1: least four different categories of Trump crime. So that to 131 00:06:49,520 --> 00:06:53,320 Speaker 1: me suggests perhaps that the wheels are moving. I mean, 132 00:06:53,360 --> 00:06:56,760 Speaker 1: I thought obviously that that summary of the January six 133 00:06:56,760 --> 00:07:00,359 Speaker 1: committees findings, although the headline was the referral, that was 134 00:07:00,440 --> 00:07:03,040 Speaker 1: just basically the headline, that the important part where it 135 00:07:03,120 --> 00:07:05,200 Speaker 1: was that those little dribs and drabs of evidence that 136 00:07:05,240 --> 00:07:08,680 Speaker 1: came out in particularly the Hope Hicks text, which turned 137 00:07:08,680 --> 00:07:11,760 Speaker 1: this from what did Trump do on January six to 138 00:07:12,000 --> 00:07:14,920 Speaker 1: what did Trump do on January four, fifth and sixth, 139 00:07:15,280 --> 00:07:17,880 Speaker 1: which is now you know, for knowledge of guilt and 140 00:07:17,920 --> 00:07:21,720 Speaker 1: awareness of conspiracy and all the rest of that. So yeah, 141 00:07:21,760 --> 00:07:26,320 Speaker 1: I think I think this week has been productive towards 142 00:07:26,600 --> 00:07:29,920 Speaker 1: finally getting this done. But I do say that with 143 00:07:30,000 --> 00:07:34,000 Speaker 1: the reservation that if there are people in this government 144 00:07:34,400 --> 00:07:37,760 Speaker 1: and in every other government, Republican or democratic, dating back 145 00:07:37,800 --> 00:07:43,160 Speaker 1: a hundred years, who see their jobs primarily as preserving 146 00:07:43,240 --> 00:07:46,480 Speaker 1: their jobs, and you know, if you can indict a 147 00:07:46,560 --> 00:07:48,960 Speaker 1: former president. Well that means you can indict the former 148 00:07:49,000 --> 00:07:53,120 Speaker 1: attorney general or the former special counsel. And these are 149 00:07:53,200 --> 00:07:57,680 Speaker 1: institutions that are self preserving. And you know, my business 150 00:07:57,680 --> 00:08:00,120 Speaker 1: agent told me many years ago in television, when I 151 00:08:00,160 --> 00:08:02,360 Speaker 1: told her that this one manager would stand up for 152 00:08:02,400 --> 00:08:04,720 Speaker 1: me in a dispute with this other manager. She said, no, 153 00:08:04,800 --> 00:08:07,280 Speaker 1: he won't. They're all managers. They're just stand up for 154 00:08:07,320 --> 00:08:10,840 Speaker 1: each other. And that's my one word. Yeah, well that's depressing. 155 00:08:11,320 --> 00:08:14,480 Speaker 1: So you think it's still largely unlike I mean, there 156 00:08:14,520 --> 00:08:16,720 Speaker 1: are all these other cases. I mean, how much crime 157 00:08:16,800 --> 00:08:19,600 Speaker 1: can one person do? Right? Trump is is good at 158 00:08:19,640 --> 00:08:23,440 Speaker 1: two things, operating without a lot of sleep and criming 159 00:08:23,520 --> 00:08:25,520 Speaker 1: every moment of the day that he's not asleep. And 160 00:08:25,640 --> 00:08:28,480 Speaker 1: I'm presuming he has dreams in which crimes come to 161 00:08:28,560 --> 00:08:31,480 Speaker 1: him the way writers have great sentences come to them 162 00:08:32,040 --> 00:08:35,160 Speaker 1: that spothered sleep. It's so interesting because you know, both 163 00:08:35,280 --> 00:08:39,680 Speaker 1: Ellen and Trump do not sleep enough. I mean, we 164 00:08:39,720 --> 00:08:43,360 Speaker 1: don't know because Trump isn't tweeting, but it certainly seems 165 00:08:43,400 --> 00:08:46,480 Speaker 1: like there's a fair amount of like people not sleeping. 166 00:08:46,800 --> 00:08:49,480 Speaker 1: His social media sites still puts time stamps on his 167 00:08:49,880 --> 00:08:54,120 Speaker 1: whatever they're called there and they and truths and they 168 00:08:54,160 --> 00:08:57,760 Speaker 1: still the truth TM, the irony, they still some of 169 00:08:57,800 --> 00:09:02,400 Speaker 1: them show to fifteen am. I don't criticize somebody on 170 00:09:02,480 --> 00:09:05,280 Speaker 1: social media to fifteen am because I'm one of those 171 00:09:05,320 --> 00:09:08,720 Speaker 1: when I'm not suspended. But you know, the idea that 172 00:09:08,760 --> 00:09:11,079 Speaker 1: you're on two fifteen and then seven fifteen and then 173 00:09:11,160 --> 00:09:14,360 Speaker 1: three fifteen in the afternoon suggests, yes, lack of sleep. Well, 174 00:09:14,400 --> 00:09:17,240 Speaker 1: I mean, I don't know where you begin, and becomes 175 00:09:17,320 --> 00:09:22,520 Speaker 1: decreasingly relevant to try to psychoanalyze or simply diagnose whatever 176 00:09:22,760 --> 00:09:25,480 Speaker 1: is wrong with Donald Trump. Realon must but but clearly 177 00:09:25,480 --> 00:09:29,600 Speaker 1: in both cases their brains do not work in traditional fashion. 178 00:09:29,640 --> 00:09:32,760 Speaker 1: And whatever that means, you know, it would be useful, 179 00:09:32,800 --> 00:09:34,839 Speaker 1: But it's kind of like it's it's kind of like 180 00:09:34,880 --> 00:09:38,160 Speaker 1: who is the rightful czar of all the Rushes? Oh, 181 00:09:38,200 --> 00:09:41,000 Speaker 1: that's fascinating. It doesn't really mean anything. It's interesting when 182 00:09:41,000 --> 00:09:44,320 Speaker 1: you think about there's been so many bad people in 183 00:09:44,360 --> 00:09:47,720 Speaker 1: the Republican Party and also in the Democratic Party over 184 00:09:47,760 --> 00:09:49,800 Speaker 1: the years. But like, I feel like we are in 185 00:09:49,840 --> 00:09:53,839 Speaker 1: a unique position in American life, are sort of media 186 00:09:53,920 --> 00:09:56,960 Speaker 1: landscape is being terrorized by a couple of people who 187 00:09:57,040 --> 00:10:02,000 Speaker 1: see them like more unhinged in a weird away than usual. Well, 188 00:10:02,040 --> 00:10:05,080 Speaker 1: you know, I wonder what the cause of that is. 189 00:10:05,520 --> 00:10:09,120 Speaker 1: Um it could be accelerated by changes in society, including 190 00:10:09,120 --> 00:10:12,840 Speaker 1: the Internet itself, which accelerated everything. And there were people 191 00:10:12,880 --> 00:10:14,959 Speaker 1: get to that state earlier than once in the past 192 00:10:15,040 --> 00:10:17,600 Speaker 1: might have. I mean, compare like a new to Gangridge. 193 00:10:17,720 --> 00:10:21,040 Speaker 1: Like I think of NEWD Gangridge as the villain of right. 194 00:10:21,679 --> 00:10:25,720 Speaker 1: But NEWD Gangridge did not occupy American life quite the 195 00:10:25,800 --> 00:10:28,960 Speaker 1: same way that Anilon Moscow or Donald Trump did. Well, 196 00:10:28,960 --> 00:10:31,199 Speaker 1: he took time off. This is the other I mean 197 00:10:31,200 --> 00:10:34,280 Speaker 1: seriously that the only thing I look at and and 198 00:10:34,400 --> 00:10:38,000 Speaker 1: sometimes it marveled that with Trump was Yeah, a lot 199 00:10:38,040 --> 00:10:41,040 Speaker 1: of his day is have been spent playing this most 200 00:10:41,160 --> 00:10:43,400 Speaker 1: ridiculous of all sports. And I say, this is a 201 00:10:43,520 --> 00:10:49,360 Speaker 1: sometimes sportscaster, but he's indefatigable, and new Gingridge is not indefatigable. 202 00:10:49,440 --> 00:10:52,079 Speaker 1: New Gangridge liked to take those three week vacations. And 203 00:10:52,200 --> 00:10:54,400 Speaker 1: would you know, you want him on for a controversy 204 00:10:54,440 --> 00:10:56,880 Speaker 1: on a Saturday or Sunday. Call my office on Monday 205 00:10:56,920 --> 00:10:59,760 Speaker 1: afternoon when I'm in And you know the other thing 206 00:10:59,840 --> 00:11:03,360 Speaker 1: is just history has tended in the past to pick 207 00:11:03,840 --> 00:11:08,040 Speaker 1: off the Trump's and the Musk types because they couldn't. 208 00:11:08,120 --> 00:11:11,199 Speaker 1: You couldn't. I mean, we didn't take protection of these people, 209 00:11:11,280 --> 00:11:13,880 Speaker 1: or they didn't take their own protection seriously enough. But 210 00:11:13,920 --> 00:11:16,120 Speaker 1: I mean people say, oh, this is this is unique 211 00:11:16,120 --> 00:11:18,400 Speaker 1: in American history, and always I point to Huey Long. 212 00:11:18,760 --> 00:11:20,920 Speaker 1: I mean, hue the only reason Hue Long did not 213 00:11:21,000 --> 00:11:24,840 Speaker 1: attempt to take over the United States in some sort 214 00:11:24,880 --> 00:11:28,000 Speaker 1: of dictatorial fashion and get the opportunity to be in 215 00:11:28,000 --> 00:11:31,000 Speaker 1: that position was that somebody shot him. I mean, this 216 00:11:31,200 --> 00:11:35,680 Speaker 1: is bluntly that that arrangement. Today, were Hughie Long alive, 217 00:11:36,040 --> 00:11:38,120 Speaker 1: whoever shot him, and it's presumed to have been this 218 00:11:38,280 --> 00:11:41,160 Speaker 1: son in law of a judge that he gerrymandered, but 219 00:11:41,160 --> 00:11:44,480 Speaker 1: who knows. You know, it's like seventeen people with guns 220 00:11:44,520 --> 00:11:46,240 Speaker 1: in the in the room or in the hallway when 221 00:11:46,240 --> 00:11:48,959 Speaker 1: he got shot. Huie Long today would would have an 222 00:11:49,080 --> 00:11:51,520 Speaker 1: entourage that would protect him from things like that. So 223 00:11:51,600 --> 00:11:53,679 Speaker 1: you don't, you know, you don't knock these people off. 224 00:11:53,960 --> 00:11:57,120 Speaker 1: Trump was not erased by somebody else's husband at some 225 00:11:57,160 --> 00:12:00,280 Speaker 1: point in the last fifty years. Uh, he wasn't you know, 226 00:12:00,480 --> 00:12:03,040 Speaker 1: putting a home somewhere when he was a kid, and 227 00:12:03,120 --> 00:12:06,320 Speaker 1: so he's the one of the who knows five thousand, 228 00:12:06,440 --> 00:12:12,360 Speaker 1: ten thousand, one million Americans of that particular disorder, whatever 229 00:12:12,400 --> 00:12:15,080 Speaker 1: it is, the one who survived and got away with it. 230 00:12:15,240 --> 00:12:19,960 Speaker 1: That's probably It's probably nothing more significant than statistical chance 231 00:12:20,320 --> 00:12:24,040 Speaker 1: amplified by changes in society. Now we are sort of 232 00:12:24,280 --> 00:12:27,600 Speaker 1: about to enter this where we have a sort of 233 00:12:27,840 --> 00:12:32,120 Speaker 1: a week off before the new Congress gets going, the 234 00:12:32,200 --> 00:12:35,720 Speaker 1: Maga Congress. Is it going to just be Benghazi all 235 00:12:35,760 --> 00:12:40,800 Speaker 1: the time? Yeah, And I wish the Democrats would play 236 00:12:40,840 --> 00:12:44,880 Speaker 1: that game to ten percent of the levels that the 237 00:12:44,920 --> 00:12:48,400 Speaker 1: Republicans do. In other words, here's this guy nobody's heard 238 00:12:48,440 --> 00:12:51,280 Speaker 1: of before. He's writing in the Hunter Biden Joe Biden 239 00:12:51,760 --> 00:12:56,160 Speaker 1: laptop whatever, cell phone, whatever it is, that beeper Hunter 240 00:12:56,200 --> 00:13:01,239 Speaker 1: Biden's beeper is being investigated. Comber of Kentucky, James Comer. 241 00:13:01,320 --> 00:13:04,200 Speaker 1: In two thousand and fifteen, I think it was when 242 00:13:04,280 --> 00:13:08,040 Speaker 1: James Comber was running for the governor of Kentucky. His 243 00:13:08,200 --> 00:13:11,600 Speaker 1: college girlfriend came forward with a series of pretty standard 244 00:13:11,640 --> 00:13:15,640 Speaker 1: accusations of use when they were going out, and threats 245 00:13:15,679 --> 00:13:19,679 Speaker 1: and violence, and Comber calling her mother and saying I'm 246 00:13:19,679 --> 00:13:22,440 Speaker 1: going to kill your daughter and I'm the usual kind 247 00:13:22,480 --> 00:13:25,600 Speaker 1: of stuff for people who wind up being Republican congressman. 248 00:13:25,960 --> 00:13:30,520 Speaker 1: And because Comber lost in the primary in Kentucky, the 249 00:13:30,559 --> 00:13:33,120 Speaker 1: story just went away. I mean I spent a couple 250 00:13:33,120 --> 00:13:37,480 Speaker 1: of weeks looking through newspaper archives for the resolution to 251 00:13:37,520 --> 00:13:40,680 Speaker 1: this story, like I was disproved or he confessed, or 252 00:13:40,840 --> 00:13:43,640 Speaker 1: he went to nothing. It just vanished from the newspapers 253 00:13:43,640 --> 00:13:47,520 Speaker 1: in Kentucky. And every time I see James Comber's name mentioned, 254 00:13:47,840 --> 00:13:50,839 Speaker 1: I put this story in the podcast, and I'm waiting 255 00:13:50,880 --> 00:13:53,480 Speaker 1: for some Democrats somewhere to come and say, Okay, while 256 00:13:53,520 --> 00:13:56,040 Speaker 1: you're doing that, we're going to reopen the investigation of 257 00:13:56,160 --> 00:13:59,280 Speaker 1: James Comber. If you're gonna play this game where the 258 00:13:59,280 --> 00:14:01,880 Speaker 1: other team, the their team brings out baseball bats to 259 00:14:01,960 --> 00:14:04,280 Speaker 1: hit your guys over the head, guess what, You're gonna 260 00:14:04,320 --> 00:14:06,480 Speaker 1: need guys with baseball bats to hit them back. And 261 00:14:06,559 --> 00:14:09,360 Speaker 1: it's brutal. But if you get enough of them and 262 00:14:09,520 --> 00:14:11,920 Speaker 1: they realize that nothing that they do is going to 263 00:14:11,960 --> 00:14:16,880 Speaker 1: occur without some metaphorical pain to their own personal lives, uh, 264 00:14:17,120 --> 00:14:19,160 Speaker 1: they'll keep doing it. But if you if you convince 265 00:14:19,240 --> 00:14:21,200 Speaker 1: them of that, they will stop doing it. But until 266 00:14:21,480 --> 00:14:24,280 Speaker 1: you know until until the Democrats stop rolling over for 267 00:14:24,320 --> 00:14:26,320 Speaker 1: this and saying, well, we're not going to dirty our hands. 268 00:14:26,640 --> 00:14:28,880 Speaker 1: When they go high, we go low stuff. When they 269 00:14:28,920 --> 00:14:33,080 Speaker 1: go low, we get baseball bats. That should be the 270 00:14:33,120 --> 00:14:36,280 Speaker 1: next you know, big Let's get Obama out there saying 271 00:14:36,400 --> 00:14:39,200 Speaker 1: when they go low, we get baseball bats. I think 272 00:14:39,200 --> 00:14:42,240 Speaker 1: that would solve this completely, because yes, that's entirely what 273 00:14:42,280 --> 00:14:44,760 Speaker 1: they want to do. They want to do Benghazi. The 274 00:14:44,760 --> 00:14:47,400 Speaker 1: second chapter, that is, if they elect the Speaker of 275 00:14:47,400 --> 00:14:50,120 Speaker 1: the House and if it turns out that only one 276 00:14:50,240 --> 00:14:54,120 Speaker 1: of their new congressman is a complete fictitious character. Yeah, 277 00:14:54,120 --> 00:14:58,600 Speaker 1: that guy is amazing, built in a lab somewhere. I mean, 278 00:15:00,160 --> 00:15:03,840 Speaker 1: it's it's even for a Republican. That's pretty amazing to 279 00:15:03,880 --> 00:15:08,359 Speaker 1: have have not one or two lives or amplifications or exaggerations, 280 00:15:08,360 --> 00:15:11,560 Speaker 1: but but quite literally a dozen. I mean is George 281 00:15:11,560 --> 00:15:14,840 Speaker 1: Santos if that is your real name, you know who 282 00:15:14,880 --> 00:15:19,120 Speaker 1: were It's marvelous And that one that's the one thing 283 00:15:19,200 --> 00:15:23,040 Speaker 1: something the Republicans always trip themselves up with something like this, 284 00:15:23,480 --> 00:15:25,960 Speaker 1: and there's all it's like, you know, who got we 285 00:15:26,040 --> 00:15:28,280 Speaker 1: go back? You mentioned new Ingridge. That was the first 286 00:15:28,280 --> 00:15:30,840 Speaker 1: political story I covered when I went to MSNBC in 287 00:15:30,920 --> 00:15:33,120 Speaker 1: ninety seven. That was the first big thing, the impeachment 288 00:15:33,160 --> 00:15:36,600 Speaker 1: of Clinton, who lost his job in that Gingrich did. 289 00:15:36,880 --> 00:15:39,040 Speaker 1: But the guy they brought in afterwards to be Speaker 290 00:15:39,080 --> 00:15:41,440 Speaker 1: of the House was about to be voted in, and 291 00:15:41,480 --> 00:15:44,840 Speaker 1: it turned out he'd had six extramarital affairs and he 292 00:15:44,920 --> 00:15:48,400 Speaker 1: went out the window too. And stay to the term 293 00:15:48,800 --> 00:15:52,520 Speaker 1: because the Republicans always leave the back door unlocked. Listen, 294 00:15:52,640 --> 00:15:56,920 Speaker 1: man nud Gingridge ended up married to his seventeenth wife, 295 00:15:57,160 --> 00:16:02,160 Speaker 1: and she became the ambassador to Holy See. So Mary, Mary, yes, 296 00:16:02,960 --> 00:16:07,040 Speaker 1: you know that's hardly a happy ending. She won't even 297 00:16:07,080 --> 00:16:11,440 Speaker 1: face tune him in their selfies, just her. Keith Olberman, 298 00:16:11,520 --> 00:16:18,680 Speaker 1: thank you so much for joining us. Matt Fuller is 299 00:16:18,720 --> 00:16:23,680 Speaker 1: the Washington bureau chief at The Daily Beast. Welcome too 300 00:16:23,920 --> 00:16:28,280 Speaker 1: fast Politics, Mad Fuller, Molly, thank you for having me. Congress. 301 00:16:28,600 --> 00:16:33,000 Speaker 1: What the fund is happening over there? Go? That is 302 00:16:33,080 --> 00:16:36,000 Speaker 1: the evergreen question you can You can ask that every day. 303 00:16:36,160 --> 00:16:38,640 Speaker 1: That's what they ask you at NPR. Just tell us 304 00:16:38,680 --> 00:16:41,720 Speaker 1: what the funk is going on? Yeah, exactly, a few issues. 305 00:16:42,000 --> 00:16:44,880 Speaker 1: You have a looming government shutdown. Now it seems like 306 00:16:44,920 --> 00:16:48,400 Speaker 1: they will once again avert this right before Christmas, the 307 00:16:48,440 --> 00:16:50,800 Speaker 1: plans to come up with a year long omnibus. In 308 00:16:50,840 --> 00:16:54,960 Speaker 1: that omnibus, uh, it's sometimes known as a Christmas tree, 309 00:16:55,120 --> 00:16:59,280 Speaker 1: in which people attach lots of ornaments right things bills 310 00:16:59,320 --> 00:17:05,040 Speaker 1: like National Defense Aptation Act or Josh Holly wanted to 311 00:17:05,040 --> 00:17:08,720 Speaker 1: ban TikTok from all government phones. All sorts of little 312 00:17:09,040 --> 00:17:11,440 Speaker 1: ornaments can get hung up on this. By the way, 313 00:17:11,480 --> 00:17:14,840 Speaker 1: he got that right, that's exactly right. You know, I 314 00:17:15,160 --> 00:17:19,640 Speaker 1: think that Democrats didn't feel strongly are strongly enough either 315 00:17:19,680 --> 00:17:22,720 Speaker 1: way on this, and Josh Holly was able to force 316 00:17:22,800 --> 00:17:25,600 Speaker 1: this through on the omnibus. It seems now the Omnibus 317 00:17:25,680 --> 00:17:28,400 Speaker 1: has not passed and there's not bill text and all that, 318 00:17:28,640 --> 00:17:31,240 Speaker 1: you know, those formalities. But this seems like it's going 319 00:17:31,280 --> 00:17:34,000 Speaker 1: to be a done deal. But you know, we should 320 00:17:34,000 --> 00:17:36,720 Speaker 1: be careful because I've seen that plenty of times now 321 00:17:36,760 --> 00:17:40,160 Speaker 1: too that you know, things fall apart pretty quickly when 322 00:17:40,160 --> 00:17:42,159 Speaker 1: you're when you're dealing with trillions of dollars and the 323 00:17:42,240 --> 00:17:46,320 Speaker 1: child tax credit, which is actually something that's useful and relevant, 324 00:17:46,359 --> 00:17:49,600 Speaker 1: that's out. Yeah, you know, this is a funny thing. Obviously, 325 00:17:49,920 --> 00:17:53,600 Speaker 1: the child tax credit was immensely popular a big item 326 00:17:53,880 --> 00:17:57,080 Speaker 1: helped a lot of people out of poverty, to write 327 00:17:57,320 --> 00:18:01,639 Speaker 1: totally truly progressive pulse that actually helped people, that was 328 00:18:02,080 --> 00:18:06,119 Speaker 1: extremely popular with parents, seems like a real winner, and 329 00:18:06,160 --> 00:18:09,280 Speaker 1: when that disappeared, really, you know, Democrats would have obviously 330 00:18:09,560 --> 00:18:11,639 Speaker 1: loved to have kept it around, but they didn't fight 331 00:18:11,720 --> 00:18:13,400 Speaker 1: for it. And part of the reason they didn't fight 332 00:18:13,440 --> 00:18:16,240 Speaker 1: for it was all these inflation concerns. You could debate 333 00:18:16,400 --> 00:18:20,200 Speaker 1: exactly how much inflationary effect a child tax credit has 334 00:18:20,480 --> 00:18:23,119 Speaker 1: versus by the way, the you knows, as you noted 335 00:18:23,200 --> 00:18:26,119 Speaker 1: the effects of lifting people out of poverty and making 336 00:18:26,240 --> 00:18:29,320 Speaker 1: people's lives easier supportedly things that people who go to 337 00:18:29,320 --> 00:18:31,720 Speaker 1: Congress they're trying to do every day right and make 338 00:18:31,760 --> 00:18:34,680 Speaker 1: people's lives easier. Um, But yeah, it just was not 339 00:18:34,880 --> 00:18:38,040 Speaker 1: the priority, I guess for Democrats. And you know, some 340 00:18:38,160 --> 00:18:41,600 Speaker 1: of this is just this feeling of maybe the politics 341 00:18:41,600 --> 00:18:43,560 Speaker 1: of this aren't great for us. A lot of the 342 00:18:43,600 --> 00:18:47,400 Speaker 1: feeling is just, hey, inflation really is out of control. 343 00:18:47,440 --> 00:18:50,200 Speaker 1: We can't be just handing out money to people, and 344 00:18:50,440 --> 00:18:53,120 Speaker 1: when voters are telling us that inflation is their number 345 00:18:53,119 --> 00:18:55,520 Speaker 1: one concern. But yeah, that that that did go away 346 00:18:55,560 --> 00:18:58,240 Speaker 1: without the fight. That probably a lot of Democrats wanted 347 00:18:58,240 --> 00:19:01,280 Speaker 1: to have Yeah, it's sort of shocking to me, but 348 00:19:01,320 --> 00:19:04,360 Speaker 1: I guess they just felt too scared of inflation. Yeah, 349 00:19:04,520 --> 00:19:07,240 Speaker 1: And and you know, again, a lot of this went 350 00:19:07,280 --> 00:19:10,200 Speaker 1: away and was determined during the mid terms before the 351 00:19:10,240 --> 00:19:12,760 Speaker 1: midterms ever happened. And the question was, you know, our 352 00:19:12,840 --> 00:19:14,920 Speaker 1: Democrats really going to fight for the child tax credit, 353 00:19:15,200 --> 00:19:18,480 Speaker 1: and half the country is saying inflation is might number 354 00:19:18,520 --> 00:19:22,080 Speaker 1: one issue and you number one concern. That was the 355 00:19:22,119 --> 00:19:25,159 Speaker 1: thing that really just had this real chilling effect I 356 00:19:25,160 --> 00:19:27,800 Speaker 1: think for democratic leadership. You know, there's obviously a lot 357 00:19:27,800 --> 00:19:30,440 Speaker 1: of progressives who still feel very strongly about this, and 358 00:19:30,440 --> 00:19:33,360 Speaker 1: and note you know, the very direct effects it has 359 00:19:33,440 --> 00:19:36,919 Speaker 1: for families involved, and and also the idea that this 360 00:19:37,000 --> 00:19:40,439 Speaker 1: is directly contributing to inflation may maybe flawed as well. 361 00:19:40,480 --> 00:19:43,399 Speaker 1: That it's it's it certainly has some inflationary effect, but 362 00:19:43,520 --> 00:19:46,639 Speaker 1: all economic policies have pluses and minuses, and you have 363 00:19:46,720 --> 00:19:49,720 Speaker 1: to determine, based on your own values, what things you 364 00:19:49,720 --> 00:19:53,400 Speaker 1: you think matter the most. But given the political climate 365 00:19:53,480 --> 00:19:55,960 Speaker 1: and the economic climate, it just wasn't a thing that 366 00:19:56,000 --> 00:20:00,200 Speaker 1: Democrats really fought for. Now we should also we don't 367 00:20:00,240 --> 00:20:04,160 Speaker 1: just blame democrats no Republican wanted to extend the Yeah, 368 00:20:04,400 --> 00:20:08,280 Speaker 1: I'm shocked they didn't. Yeah, it really was a failure 369 00:20:08,280 --> 00:20:10,600 Speaker 1: of both parties on this one. But um, if you 370 00:20:10,600 --> 00:20:12,760 Speaker 1: are going to blame one party, you can definitely say 371 00:20:12,920 --> 00:20:16,560 Speaker 1: Republicans absolutely did not want this. A lot of Democrats did, 372 00:20:16,600 --> 00:20:18,840 Speaker 1: but they didn't want to fight for it enough. Talk 373 00:20:18,920 --> 00:20:27,719 Speaker 1: to me about this crazy RNC Committee chairmanship. What is 374 00:20:27,840 --> 00:20:32,280 Speaker 1: happening over there? Well, you have basically two candidates, sort 375 00:20:32,320 --> 00:20:35,640 Speaker 1: of a third. I'm going to force you to bring 376 00:20:35,640 --> 00:20:38,320 Speaker 1: in the my pillow guy, Come on, yes, Mike Lindell, 377 00:20:38,520 --> 00:20:42,280 Speaker 1: who is just gathering RNC delegates by the day. Ron 378 00:20:42,400 --> 00:20:47,119 Speaker 1: McDaniel has run the RNC since I think seventeen. This 379 00:20:47,200 --> 00:20:49,760 Speaker 1: would be her fourth term. It's really a race between 380 00:20:49,800 --> 00:20:53,320 Speaker 1: Ron McDaniel and Harmy Dylan. Obviously, yes, you have Mike 381 00:20:53,440 --> 00:20:56,600 Speaker 1: Lindell and some other side characters here, but this doesn't 382 00:20:56,920 --> 00:21:00,760 Speaker 1: neatly align because Trump has said I liked them Wolf right, 383 00:21:01,119 --> 00:21:04,240 Speaker 1: Ron and McDaniels has definitely kept sort of close with 384 00:21:04,280 --> 00:21:06,880 Speaker 1: Trump right and kept in line. She's not breaking from 385 00:21:06,920 --> 00:21:09,679 Speaker 1: that so much. But har Meat, a former Trump lawyer, 386 00:21:09,960 --> 00:21:13,200 Speaker 1: trying to go after that really hardline vote. But also 387 00:21:13,320 --> 00:21:17,040 Speaker 1: just trying to inflame uh this feeling of someone needs 388 00:21:17,080 --> 00:21:19,720 Speaker 1: to be held accountable for the mid terms, right, and God, 389 00:21:19,760 --> 00:21:22,080 Speaker 1: for a bit it be Trump. God forbid to be Trump, 390 00:21:22,119 --> 00:21:25,160 Speaker 1: God forbid to be Mitch McConnell or Kevin McCarthy. So 391 00:21:25,240 --> 00:21:27,600 Speaker 1: who are they gonna blame? Well, it's the only women 392 00:21:27,800 --> 00:21:31,760 Speaker 1: who's around the Republican So I think there's some legitimate 393 00:21:31,800 --> 00:21:34,880 Speaker 1: concerns here from Republicans. Is they're saying, why didn't we 394 00:21:34,920 --> 00:21:38,679 Speaker 1: do enough on absentee voting? And where were we on 395 00:21:38,720 --> 00:21:40,920 Speaker 1: trying to get people to do mail in voting? And 396 00:21:41,200 --> 00:21:43,399 Speaker 1: why was our data operation wrong? And why do we 397 00:21:43,400 --> 00:21:45,480 Speaker 1: think we were gonna have this huge red wave and 398 00:21:45,520 --> 00:21:48,280 Speaker 1: we didn't? Those are I think legitimate questions. But then 399 00:21:48,400 --> 00:21:51,520 Speaker 1: people also know, hey, fundraising was there, or get out 400 00:21:51,560 --> 00:21:53,880 Speaker 1: the vote operation on on election Day was pretty good. 401 00:21:54,160 --> 00:21:55,960 Speaker 1: I think it's more of a question of do you 402 00:21:56,000 --> 00:21:57,960 Speaker 1: want to move on from Trump? And neither of these 403 00:21:58,119 --> 00:22:00,919 Speaker 1: you know, either Dylan or or mcdany really are are 404 00:22:00,960 --> 00:22:03,119 Speaker 1: saying we should move on from Trump. In fact, I 405 00:22:03,160 --> 00:22:06,879 Speaker 1: think her Meat's argument is quite the opposite. And obviously 406 00:22:06,960 --> 00:22:09,240 Speaker 1: Mike Lindell is like, you know, the most all in 407 00:22:09,720 --> 00:22:12,159 Speaker 1: pro Trump guy you could possibly find. So, um, I 408 00:22:12,160 --> 00:22:15,879 Speaker 1: don't expect him really to siphon it. Maybe any votes 409 00:22:16,400 --> 00:22:19,080 Speaker 1: from the hundred succeeding, although I think he told two 410 00:22:19,119 --> 00:22:21,960 Speaker 1: of our reporters that he expected like a unanimous vote 411 00:22:22,040 --> 00:22:24,440 Speaker 1: or something. I don't want to report pick news, but um, 412 00:22:24,800 --> 00:22:28,400 Speaker 1: that's not far off from the truth. But yeah, it's 413 00:22:28,400 --> 00:22:30,959 Speaker 1: going to be an interesting race. There's it's the The 414 00:22:31,000 --> 00:22:34,280 Speaker 1: other part of this is it's become very nasty. There's 415 00:22:34,359 --> 00:22:38,040 Speaker 1: this long reply all thread where R and C members 416 00:22:38,080 --> 00:22:41,080 Speaker 1: are are getting, you know, all the information about how 417 00:22:41,160 --> 00:22:45,040 Speaker 1: much you know Ron McDaniels shipping off to this person, 418 00:22:45,200 --> 00:22:48,760 Speaker 1: or how much Harmy Dylan took in from the RNC 419 00:22:48,960 --> 00:22:52,440 Speaker 1: through Trump legal fees or whatever. So it's become very personal. 420 00:22:52,800 --> 00:22:54,960 Speaker 1: Some R and C members are being docked and you 421 00:22:55,000 --> 00:22:58,440 Speaker 1: know this person is for this person, and they're putting 422 00:22:58,520 --> 00:23:03,159 Speaker 1: names out. It's definitely a interesting race. I still expect 423 00:23:03,280 --> 00:23:06,720 Speaker 1: Ron and McDaniel to survive, but it could go either way. 424 00:23:06,840 --> 00:23:10,080 Speaker 1: And then there's another race we need to talk about. 425 00:23:11,280 --> 00:23:16,360 Speaker 1: Tell me about Okay, only Kevin because Matt was taken. 426 00:23:16,680 --> 00:23:20,120 Speaker 1: It is just like such a fitting, perfect acronym for 427 00:23:20,119 --> 00:23:23,200 Speaker 1: for the only Kevin crew. Look, I don't think any 428 00:23:23,240 --> 00:23:27,439 Speaker 1: of these only Kevin folks are really truly committed to 429 00:23:27,560 --> 00:23:30,040 Speaker 1: only Kevin McCarthy. And it's not you know, if you 430 00:23:30,040 --> 00:23:32,399 Speaker 1: went up to any of them and the folks who 431 00:23:32,440 --> 00:23:35,439 Speaker 1: are quote only Kevin, who are okay, are some of 432 00:23:35,480 --> 00:23:37,959 Speaker 1: them the the most and I won't say water, but 433 00:23:38,200 --> 00:23:42,040 Speaker 1: you know, the most center Republicans in the Republican Conference, right, 434 00:23:42,280 --> 00:23:46,280 Speaker 1: Brian Fitzpatrick, David Joyce, John Cacko. These are the folks 435 00:23:46,359 --> 00:23:50,119 Speaker 1: who definitely don't want to empower the hard right. Okay, 436 00:23:50,200 --> 00:23:52,840 Speaker 1: So you have on one side you have the never 437 00:23:53,040 --> 00:23:56,440 Speaker 1: Kevin folks, right, this is the Matt Gates and Matt 438 00:23:56,560 --> 00:24:01,640 Speaker 1: Rosendale and Andy Biggs and Bob Good Ralph Norman. So 439 00:24:02,000 --> 00:24:04,600 Speaker 1: those there's at least five stated there, and they've said 440 00:24:04,600 --> 00:24:07,359 Speaker 1: that they have some more in their pocket. Some have 441 00:24:07,440 --> 00:24:09,680 Speaker 1: said it's up as much as twelve. If that's the case, 442 00:24:09,720 --> 00:24:13,479 Speaker 1: then Kevin McCarthy is truly in trouble. If it's five, 443 00:24:13,600 --> 00:24:18,520 Speaker 1: there's there's a path here. But basically, the only Kevin 444 00:24:18,560 --> 00:24:22,200 Speaker 1: folks are saying, we're not gonna let five of the 445 00:24:22,240 --> 00:24:25,840 Speaker 1: most conservative the House Freedom Caucus guys dictate who the 446 00:24:25,840 --> 00:24:28,480 Speaker 1: speaker is or really who the speaker will not be. 447 00:24:28,960 --> 00:24:32,360 Speaker 1: So what we're going to do is say it's only Kevin. 448 00:24:32,400 --> 00:24:35,040 Speaker 1: And this is kind of getting into this game theory side, 449 00:24:35,040 --> 00:24:38,040 Speaker 1: because truly, like the never Kevin people, they can lay 450 00:24:38,040 --> 00:24:41,040 Speaker 1: out a pretty convincing case why it should never be 451 00:24:41,119 --> 00:24:45,440 Speaker 1: Kevin McCarthy. He's been tainted by the leadership. Um he's 452 00:24:45,480 --> 00:24:48,280 Speaker 1: not going to oversee in an open process. And this 453 00:24:48,359 --> 00:24:50,840 Speaker 1: is actually a big sticking point of the Freedom Caucuse, 454 00:24:50,880 --> 00:24:54,760 Speaker 1: something that they actually were founded upon back when it 455 00:24:54,840 --> 00:24:57,760 Speaker 1: was a slightly different organization. But they wanted to open 456 00:24:57,840 --> 00:25:01,040 Speaker 1: up the process, and there was only one open rule 457 00:25:01,160 --> 00:25:04,200 Speaker 1: under the speakership of Paul Ryan. During the second speakership 458 00:25:04,200 --> 00:25:06,920 Speaker 1: of Nancy Pelosi, there were no open rules. And open 459 00:25:07,000 --> 00:25:10,840 Speaker 1: rule just means the ability of someone anyone, any member 460 00:25:10,880 --> 00:25:12,840 Speaker 1: to offer an amendment on the floor get a vote 461 00:25:12,840 --> 00:25:16,160 Speaker 1: on their amendment, and that that has gone by the wayside. 462 00:25:16,200 --> 00:25:20,080 Speaker 1: Basically the process and Congresses you either get it approved 463 00:25:20,119 --> 00:25:22,840 Speaker 1: in committee, your amendment, or you go to the rules 464 00:25:22,880 --> 00:25:25,440 Speaker 1: committee and leadership says, yeah, we can have a vote 465 00:25:25,440 --> 00:25:28,040 Speaker 1: on that on the floor, And sometimes it's the case 466 00:25:28,280 --> 00:25:30,720 Speaker 1: we can't vote on this amendment because it will pass right, 467 00:25:31,040 --> 00:25:34,000 Speaker 1: they won't won't actually let it get a vote because 468 00:25:34,040 --> 00:25:37,000 Speaker 1: they know it would it would get a majority of people. Uh. 469 00:25:37,000 --> 00:25:39,040 Speaker 1: And sometimes that's smart because you know you have a 470 00:25:39,320 --> 00:25:42,000 Speaker 1: what's called a poison pill amendment. Basically there's a majority 471 00:25:42,040 --> 00:25:45,160 Speaker 1: for the amendment, but then the remaining majority would vote 472 00:25:45,160 --> 00:25:46,760 Speaker 1: on the bill don't want to vote on the bill 473 00:25:46,800 --> 00:25:49,800 Speaker 1: because now that they have this amendment in there. Right, So, 474 00:25:50,119 --> 00:25:53,800 Speaker 1: constructing legislation is very difficult, and basically speakers over the 475 00:25:53,880 --> 00:25:57,640 Speaker 1: last hundred years, but really specifically in like the last 476 00:25:57,680 --> 00:26:00,320 Speaker 1: fifteen years have noted that if you close was down 477 00:26:00,320 --> 00:26:02,639 Speaker 1: the process and you don't allow these amendments, um, it 478 00:26:02,680 --> 00:26:05,440 Speaker 1: gets a lot easier to control the actual legislative product. 479 00:26:05,720 --> 00:26:09,400 Speaker 1: And you know the end the end result. Right. So 480 00:26:09,600 --> 00:26:12,560 Speaker 1: you have a very few people who are actually making 481 00:26:12,600 --> 00:26:16,560 Speaker 1: the policy, actually making the legislation, like two or three people, 482 00:26:17,000 --> 00:26:20,040 Speaker 1: and it's not an actual body. So then never Kevin 483 00:26:20,040 --> 00:26:23,080 Speaker 1: people actually have a point they say, hey, it's not 484 00:26:23,080 --> 00:26:25,600 Speaker 1: going to get better if you elect Kevin McCarthy. In fact, 485 00:26:25,600 --> 00:26:28,160 Speaker 1: it might just get worse. We know what Kevin McCarthy 486 00:26:28,160 --> 00:26:30,920 Speaker 1: stands for in this way, and you know what we'd 487 00:26:30,920 --> 00:26:33,480 Speaker 1: actually vote for. Kevin McCarthy if he'd, if he'd give 488 00:26:33,560 --> 00:26:36,080 Speaker 1: us these you know, say, three or four rule changes, 489 00:26:36,119 --> 00:26:37,800 Speaker 1: the actually the whole list of them. But one of 490 00:26:37,800 --> 00:26:40,200 Speaker 1: the big rule changes that they wanted was the ability 491 00:26:40,280 --> 00:26:42,639 Speaker 1: to say, oh, if we get ten percent of the 492 00:26:42,640 --> 00:26:45,880 Speaker 1: Republican Conference to say we want to vote on this amendment, 493 00:26:46,160 --> 00:26:48,360 Speaker 1: we would get an amendment vote on the floor. That 494 00:26:48,480 --> 00:26:50,320 Speaker 1: has been you know, it's a total non starter for 495 00:26:50,400 --> 00:26:54,480 Speaker 1: Kevin McCarthy. That amendment will make it impossible to speaker, 496 00:26:54,640 --> 00:26:57,040 Speaker 1: and that amendment wouldn't I would say, it would make 497 00:26:57,080 --> 00:27:00,800 Speaker 1: it really difficult for the House to pass bills, which 498 00:27:00,840 --> 00:27:03,320 Speaker 1: is already already gonna be very difficult, and particularly in 499 00:27:03,320 --> 00:27:06,240 Speaker 1: a narrow majority. So McCarthy is looking at this and saying, 500 00:27:06,320 --> 00:27:09,040 Speaker 1: you're gonna just gonna make my job harder. The other 501 00:27:09,240 --> 00:27:11,600 Speaker 1: rule change they want is to bring back the motion 502 00:27:11,640 --> 00:27:14,120 Speaker 1: of a k which is just the ability to ditch 503 00:27:14,160 --> 00:27:16,479 Speaker 1: the speaker right any member to get a vote on 504 00:27:16,600 --> 00:27:18,679 Speaker 1: emotion of a kate. You know, that's the case than 505 00:27:18,760 --> 00:27:23,120 Speaker 1: Kevin McCarthy's position is even more precarious. So McCarthy saying, 506 00:27:23,119 --> 00:27:24,840 Speaker 1: I'm not going to do that. If you want to 507 00:27:24,960 --> 00:27:26,640 Speaker 1: vote me down, vote me down, you'll have to take 508 00:27:26,640 --> 00:27:29,680 Speaker 1: the heat. So these five members are stepping up and saying, great, 509 00:27:29,720 --> 00:27:31,879 Speaker 1: we'll take the heat. We don't care, We'll we'll do that. 510 00:27:31,880 --> 00:27:34,280 Speaker 1: We're happy, We're happy to take the heat. And then 511 00:27:34,320 --> 00:27:37,680 Speaker 1: you have these only Kevin folks who are saying, I'm 512 00:27:37,720 --> 00:27:41,040 Speaker 1: not prepared to just hand over the House majority to 513 00:27:41,119 --> 00:27:45,320 Speaker 1: Andy Biggs. Okay, I'm going to say I will only 514 00:27:45,400 --> 00:27:47,399 Speaker 1: vote for Kevin McCarthy. He's the only person who I 515 00:27:47,440 --> 00:27:49,480 Speaker 1: will vote for. Otherwise you're gonna end up with some 516 00:27:49,600 --> 00:27:52,800 Speaker 1: like Democrat. Right. I don't exactly believe this, and I 517 00:27:52,960 --> 00:27:55,959 Speaker 1: you know, I think the Freedom Caucus folks don't exactly 518 00:27:56,000 --> 00:27:58,840 Speaker 1: believe this. But the interesting thing is, no one's really 519 00:27:58,880 --> 00:28:01,720 Speaker 1: making the affirmative case for Kevin McCarthy. No one like 520 00:28:01,800 --> 00:28:04,400 Speaker 1: David Joyce isn't going up there and going Kevin McCarthy 521 00:28:04,440 --> 00:28:06,760 Speaker 1: will just be the best speaker. He'd just be so 522 00:28:06,800 --> 00:28:09,160 Speaker 1: good at it. You know. It's more, well, I don't 523 00:28:09,200 --> 00:28:12,639 Speaker 1: want to empower these folks, right, So it's become this 524 00:28:13,160 --> 00:28:17,119 Speaker 1: very involved game theory issue. It's going to be interesting 525 00:28:17,119 --> 00:28:20,359 Speaker 1: to see how it plays out. Typically, the folks who 526 00:28:20,359 --> 00:28:24,240 Speaker 1: are the hardline conservatives, they don't bend right. It's usually 527 00:28:24,320 --> 00:28:27,120 Speaker 1: the monitor to do give in. But the funny thing 528 00:28:27,160 --> 00:28:29,119 Speaker 1: is you're right on the cusp. But the Republicans have 529 00:28:29,160 --> 00:28:32,439 Speaker 1: two two votes, Democrats have two hundred and twelve. They 530 00:28:32,480 --> 00:28:35,560 Speaker 1: did have two hundred thirteen and then Congressman Don mckitchen died. 531 00:28:35,600 --> 00:28:38,120 Speaker 1: So if they lose five votes, it's tied at to 532 00:28:38,320 --> 00:28:41,320 Speaker 1: seventeen to seventeen. If one of those people on the 533 00:28:41,600 --> 00:28:43,240 Speaker 1: on the five that I will not vote for Kevin 534 00:28:43,280 --> 00:28:46,360 Speaker 1: McCarthy vote present, and they've you know, four of them 535 00:28:46,360 --> 00:28:48,080 Speaker 1: have been pretty emphatic that they're not going to do that, 536 00:28:48,120 --> 00:28:50,480 Speaker 1: but one of them has been a little shaky on it. 537 00:28:50,800 --> 00:28:53,240 Speaker 1: If one of them votes present, that would lower the 538 00:28:53,240 --> 00:28:57,560 Speaker 1: threshold to to seventeen, and at that point McCarthy actually 539 00:28:57,600 --> 00:29:00,200 Speaker 1: would be able to get it with a two event 540 00:29:00,200 --> 00:29:04,560 Speaker 1: teen I think to seventeen to sixteen in that scenario. Anyway, 541 00:29:04,760 --> 00:29:08,800 Speaker 1: the math here is very tight. And if it's five people, 542 00:29:08,920 --> 00:29:12,680 Speaker 1: there's a path forward. One person, could you know, negotiate 543 00:29:12,960 --> 00:29:15,720 Speaker 1: a great committee assignment or something. If it's twelve people, 544 00:29:16,080 --> 00:29:19,640 Speaker 1: very difficult for Kevin McCarthy, and we're certainly looking at 545 00:29:19,920 --> 00:29:23,520 Speaker 1: difficult territory for him come January three. Well, that's kind 546 00:29:23,520 --> 00:29:27,320 Speaker 1: of fun. That was extremely long, no no, I listen, 547 00:29:27,560 --> 00:29:31,440 Speaker 1: hilarious and also fascinating. So but you don't think there's 548 00:29:31,520 --> 00:29:35,600 Speaker 1: a unity ticket, huh. I think that's pretty far fetched. 549 00:29:35,840 --> 00:29:39,360 Speaker 1: It would be difficult to imagine one coming together quickly. 550 00:29:39,440 --> 00:29:42,600 Speaker 1: Now that there's a scenario when you know they truly 551 00:29:42,640 --> 00:29:45,120 Speaker 1: are deadlocked and we're in this sort of no man's 552 00:29:45,200 --> 00:29:49,960 Speaker 1: land of the houses recessing and Republicans can't even take 553 00:29:49,960 --> 00:29:52,600 Speaker 1: the majority yet because they don't have the speaker, and 554 00:29:52,640 --> 00:29:54,640 Speaker 1: you don't have you don't have the ability to enact 555 00:29:54,720 --> 00:29:58,440 Speaker 1: rules or anything. And that scenario, yeah, there's probably someone 556 00:29:58,520 --> 00:30:01,520 Speaker 1: that Democrats would least a few Democrats would vote for, 557 00:30:01,880 --> 00:30:04,800 Speaker 1: and at least they say the majority Republicans would vote for. 558 00:30:05,040 --> 00:30:08,040 Speaker 1: There's a path to that sort of person, But that's 559 00:30:08,240 --> 00:30:11,160 Speaker 1: really difficult for me to imagine. I still think Kevin 560 00:30:11,200 --> 00:30:14,400 Speaker 1: McCarthy is the the odds on favorite here. The Freedom 561 00:30:14,440 --> 00:30:17,240 Speaker 1: Caucus guys are sort of figuring that, all right, we'll 562 00:30:17,280 --> 00:30:21,200 Speaker 1: just block Kevin McCarthy and then chaos will ensue and 563 00:30:21,280 --> 00:30:24,080 Speaker 1: Steve's gleez will start running for a speaker and Patrick 564 00:30:24,120 --> 00:30:27,400 Speaker 1: McHenry will start running for speaker, and maybe Andy Biggs 565 00:30:27,440 --> 00:30:30,200 Speaker 1: is somehow in the mix, like they don't exactly have 566 00:30:30,280 --> 00:30:32,560 Speaker 1: a plan on who is going to be the person 567 00:30:32,800 --> 00:30:34,720 Speaker 1: They just right now are saying it's not gonna be 568 00:30:34,840 --> 00:30:38,280 Speaker 1: Kevin McCarthy. He hasn't negotiated with us on the rule 569 00:30:38,360 --> 00:30:41,479 Speaker 1: changes we want. We have this power and we're not 570 00:30:41,520 --> 00:30:44,640 Speaker 1: going to see it until he gives in in some way, 571 00:30:44,640 --> 00:30:47,880 Speaker 1: and McCarthy is saying right now, I'm not gonna do that, 572 00:30:48,040 --> 00:30:49,960 Speaker 1: And both sides are gonna sort of see what happens 573 00:30:49,960 --> 00:30:53,600 Speaker 1: on January three and go from there. Great, it's Christmas miracle. 574 00:30:53,960 --> 00:30:56,320 Speaker 1: Thank you so much, Matt Fooler. I hope you'll come 575 00:30:56,320 --> 00:31:00,800 Speaker 1: back all right, thank you. I know you, our dear 576 00:31:00,840 --> 00:31:03,880 Speaker 1: listeners are very busy and you don't have time to 577 00:31:03,920 --> 00:31:06,680 Speaker 1: sort through the hundreds of pieces of pundentry each week. 578 00:31:07,120 --> 00:31:11,280 Speaker 1: This is why every week I put together a newsletter 579 00:31:11,440 --> 00:31:14,760 Speaker 1: of my five favorite articles on politics. If you enjoy 580 00:31:14,800 --> 00:31:17,680 Speaker 1: the podcast, you will love having this in your inbox 581 00:31:17,760 --> 00:31:21,560 Speaker 1: every Friday. So sign up at Fast politics pod dot 582 00:31:21,600 --> 00:31:24,680 Speaker 1: com and click the tab to join our mailing list. 583 00:31:24,800 --> 00:31:32,920 Speaker 1: That's fast politics pod dot com. Douglas Rushkoff is the 584 00:31:33,000 --> 00:31:37,640 Speaker 1: author of Survival of the richest. A fund read and 585 00:31:37,960 --> 00:31:44,600 Speaker 1: excellent gift for the holidays. Welcome Doug Rushcoff to Fast Politics. Yea, yeah, 586 00:31:45,160 --> 00:31:50,600 Speaker 1: we're talking about the end of this particular weird, big 587 00:31:50,680 --> 00:31:54,160 Speaker 1: tech news cycle. Is that fair or the beginning of 588 00:31:54,160 --> 00:31:57,000 Speaker 1: a new one? Yeah? I think it's certainly the end 589 00:31:57,040 --> 00:31:59,840 Speaker 1: of a cycle. Let's say, uh, the cycle that they 590 00:32:00,000 --> 00:32:03,640 Speaker 1: again after the dot com boom and bust, the cycle 591 00:32:03,720 --> 00:32:06,400 Speaker 1: that began maybe in two thousand one, because like a 592 00:32:06,480 --> 00:32:09,880 Speaker 1: twenty year cycle has come to its close, that all 593 00:32:09,960 --> 00:32:16,760 Speaker 1: the the startup mania hype, you know, VC driven internet 594 00:32:17,040 --> 00:32:20,640 Speaker 1: may be done. I feel like, and I say this 595 00:32:20,720 --> 00:32:23,040 Speaker 1: as someone who was married to a VC, we learned 596 00:32:23,080 --> 00:32:28,840 Speaker 1: this year the most vcs are not not so great. 597 00:32:29,000 --> 00:32:31,360 Speaker 1: They're not I mean, and it's it's weird. It's like, 598 00:32:31,560 --> 00:32:33,880 Speaker 1: I feel like what happened was in some ways it 599 00:32:33,920 --> 00:32:38,080 Speaker 1: was great that the crypto thing, the crypto thing kind 600 00:32:38,120 --> 00:32:42,800 Speaker 1: of went meta on tech investing. It was like, we 601 00:32:42,800 --> 00:32:45,240 Speaker 1: were investing in tech companies and now it's like, well, 602 00:32:45,320 --> 00:32:50,880 Speaker 1: just invest in the idea of a tech company. Let's 603 00:32:50,880 --> 00:32:53,600 Speaker 1: go meta on this meta thing. And it was as 604 00:32:53,640 --> 00:32:56,520 Speaker 1: if it cycled the same thing, the whole kind of 605 00:32:56,600 --> 00:32:59,120 Speaker 1: Internet boom and bust. It cycled it in just like 606 00:32:59,160 --> 00:33:01,360 Speaker 1: two or three years, and we got to witness it 607 00:33:01,760 --> 00:33:04,840 Speaker 1: so firsthand that it was like, oh, I get it. 608 00:33:05,160 --> 00:33:08,880 Speaker 1: This stuff is fake and all that stuff is fake too, 609 00:33:09,080 --> 00:33:11,160 Speaker 1: you know, so the whole thing is crumbling. I'm gonna 610 00:33:11,200 --> 00:33:14,200 Speaker 1: be Devil's advocate to you here, which is to say, 611 00:33:14,680 --> 00:33:19,800 Speaker 1: crypto has many times gone to nearly zero and come back. 612 00:33:20,200 --> 00:33:23,120 Speaker 1: What makes this time different. It's that it exposed the 613 00:33:23,160 --> 00:33:26,640 Speaker 1: rest of the system. I mean, blockchain is still a 614 00:33:26,720 --> 00:33:30,480 Speaker 1: totally cool thing, right, it's a totally cool thing. It's 615 00:33:30,600 --> 00:33:34,480 Speaker 1: it's as cool as a map. It's just not the territory. 616 00:33:34,680 --> 00:33:38,600 Speaker 1: So blockchain and decentralized technologies and all that they are 617 00:33:38,680 --> 00:33:42,120 Speaker 1: really cool. To use this stuff to simulate a power 618 00:33:42,160 --> 00:33:46,560 Speaker 1: grid or a weather system or an economy and to play. 619 00:33:46,800 --> 00:33:50,280 Speaker 1: It's just its promise is not to make people rich 620 00:33:50,400 --> 00:33:57,560 Speaker 1: by simulating money, right some point. So, but it's great, 621 00:33:57,600 --> 00:34:00,440 Speaker 1: just like the net was sort of this great way 622 00:34:00,480 --> 00:34:04,280 Speaker 1: to simulate social interactions. Right, it's play. It's like a 623 00:34:04,440 --> 00:34:06,240 Speaker 1: l chat room. Who's there? I don't know? It could 624 00:34:06,240 --> 00:34:08,240 Speaker 1: be a man, could be a woman, could be a monkey, 625 00:34:08,280 --> 00:34:10,799 Speaker 1: could be anything, right, But it's not like, oh, now 626 00:34:10,840 --> 00:34:13,120 Speaker 1: I'm going to invest in this a l chat room 627 00:34:13,360 --> 00:34:15,880 Speaker 1: or what the what the character in there is saying 628 00:34:16,000 --> 00:34:18,960 Speaker 1: or in a jpeg or something. So you think crypto 629 00:34:19,080 --> 00:34:21,480 Speaker 1: doesn't come back, I say, this is someone who recently 630 00:34:21,560 --> 00:34:24,000 Speaker 1: bought some crypto. No, I'm just kidding. Well, I'm not 631 00:34:24,080 --> 00:34:27,600 Speaker 1: totally kidding, but I mean you think crypto is you 632 00:34:27,640 --> 00:34:29,960 Speaker 1: think it's done now. I mean the thing that struck 633 00:34:30,000 --> 00:34:32,880 Speaker 1: me as it being done was that I was told 634 00:34:32,920 --> 00:34:38,600 Speaker 1: crypto was hedge against inflation, and then crypto crashed on inflation, 635 00:34:39,040 --> 00:34:43,479 Speaker 1: among other things. Yeah, where do you even start? Yes, 636 00:34:43,560 --> 00:34:47,440 Speaker 1: the idea would be that that crypto was like, because 637 00:34:47,600 --> 00:34:51,439 Speaker 1: it's in theory, it's limited, right, you know that only 638 00:34:51,520 --> 00:34:54,200 Speaker 1: so much bitcoin can be produced. It works kind of 639 00:34:54,239 --> 00:34:57,319 Speaker 1: like match sticks in a prison or in the can't 640 00:34:57,360 --> 00:34:59,000 Speaker 1: It's like, there's only so many of these, so we 641 00:34:59,040 --> 00:35:01,839 Speaker 1: can bet with them. But the problem is, because it's 642 00:35:01,880 --> 00:35:04,400 Speaker 1: so digital and the way in which is digital, we 643 00:35:04,440 --> 00:35:06,839 Speaker 1: won't even have to go there. But what people end 644 00:35:06,920 --> 00:35:09,879 Speaker 1: up doing is any one of these match sticks can 645 00:35:09,920 --> 00:35:13,319 Speaker 1: be staked against other matchsticks, so it's almost like the 646 00:35:13,360 --> 00:35:17,239 Speaker 1: fractional reservative bank. So this one matchstick of bitcoin or 647 00:35:17,400 --> 00:35:20,279 Speaker 1: of lunar coin or of whatever coin is going to 648 00:35:20,400 --> 00:35:24,279 Speaker 1: now be staked for three thousand of them across all 649 00:35:24,320 --> 00:35:28,280 Speaker 1: of these other networks. So it's it's it becomes inflationary 650 00:35:28,400 --> 00:35:31,719 Speaker 1: anyway until everybody then wants their money back, and then 651 00:35:31,719 --> 00:35:33,319 Speaker 1: all of a sudden there's a run on crypto and 652 00:35:33,360 --> 00:35:36,520 Speaker 1: it's not even there right right right now. A good point, 653 00:35:36,680 --> 00:35:38,960 Speaker 1: But it doesn't mean it goes away, right, because the 654 00:35:39,000 --> 00:35:43,279 Speaker 1: promise of the technology is still so cool. I mean, 655 00:35:43,320 --> 00:35:45,400 Speaker 1: it's just the difference between what you can do with 656 00:35:45,440 --> 00:35:50,279 Speaker 1: blockchains and crypto is as different as like fireworks and gunpowder, right, 657 00:35:50,560 --> 00:35:55,200 Speaker 1: and there's just very different applications for a decentralized ledger 658 00:35:55,280 --> 00:35:58,080 Speaker 1: like crypto can provide. Right. I think that's a good point, 659 00:35:58,080 --> 00:36:02,319 Speaker 1: and that's the appeal of blocks to write. Yeah, blockchain 660 00:36:02,440 --> 00:36:06,160 Speaker 1: was really came up during occupy. It was that moment 661 00:36:06,400 --> 00:36:09,320 Speaker 1: that we're looking at, how can we do this differently, 662 00:36:09,440 --> 00:36:12,560 Speaker 1: How can we create a way for people to transact 663 00:36:12,600 --> 00:36:17,360 Speaker 1: and verify their transactions and stuff without involving these big, awful, 664 00:36:17,800 --> 00:36:21,680 Speaker 1: you know, extractive banks that that just they make money 665 00:36:21,760 --> 00:36:25,040 Speaker 1: cost way too much, right, there's just too much a 666 00:36:25,160 --> 00:36:28,640 Speaker 1: drag on that. So let me ask you. It seems 667 00:36:28,680 --> 00:36:32,200 Speaker 1: like we're in this weird period in Tach where Zuckerberg 668 00:36:32,320 --> 00:36:37,240 Speaker 1: is in Hawaii surrounded by sycophans. Yeah, having lost seventy 669 00:36:37,360 --> 00:36:42,480 Speaker 1: percent of his company's worth on fake worlds that nobody 670 00:36:42,520 --> 00:36:46,520 Speaker 1: wants right right on a dream and it's not even 671 00:36:46,520 --> 00:36:48,680 Speaker 1: to think if even if it was virtual reality, it 672 00:36:48,719 --> 00:36:51,520 Speaker 1: couldn't be worth that much. It's like a virtual reality 673 00:36:51,640 --> 00:36:56,480 Speaker 1: replacement of everything we know and we'll have yet to know. 674 00:36:56,760 --> 00:37:00,680 Speaker 1: It's like that big a bet we will place God, 675 00:37:01,320 --> 00:37:06,760 Speaker 1: It's like, no, right, So that world is over right, 676 00:37:06,800 --> 00:37:10,440 Speaker 1: I mean, that's done. Tell us where Ellen is? Ellen? 677 00:37:10,600 --> 00:37:12,600 Speaker 1: You know, it's so funny because I write these pieces 678 00:37:12,640 --> 00:37:14,640 Speaker 1: and then some people still write in the comments, Oh, 679 00:37:14,719 --> 00:37:16,919 Speaker 1: he's still gonna pull it up, He's still gonna make 680 00:37:16,960 --> 00:37:21,600 Speaker 1: it Ellen. Oddly enough, he doesn't get what he has. 681 00:37:21,960 --> 00:37:24,920 Speaker 1: He's blown it by doing what he's done the way 682 00:37:24,960 --> 00:37:28,680 Speaker 1: he's done it in public. You know, he's kind of 683 00:37:28,719 --> 00:37:32,520 Speaker 1: almost taken down Trump with himself because he's like a 684 00:37:32,920 --> 00:37:37,160 Speaker 1: kind of a bad, less embarrassed version of Donald Trump. 685 00:37:37,520 --> 00:37:42,320 Speaker 1: So he's doing this kind of capricious real time decision 686 00:37:42,360 --> 00:37:47,080 Speaker 1: making and pivoting and lying, and so what the latest 687 00:37:47,160 --> 00:37:49,360 Speaker 1: I guess what he did was said he put up 688 00:37:49,400 --> 00:37:54,319 Speaker 1: a poll, Yeah, said, figuring everybody loves me, and he's 689 00:37:54,320 --> 00:37:57,560 Speaker 1: gonna put up a you know, self congratulatory Paul on 690 00:37:57,600 --> 00:38:00,359 Speaker 1: Twitter saying should I stay as ahead of Twitter? And 691 00:38:00,360 --> 00:38:03,160 Speaker 1: then he puts in the comment I will abide by this, 692 00:38:06,680 --> 00:38:11,200 Speaker 1: Like what of people said no, actually, dude, step down, 693 00:38:11,640 --> 00:38:14,280 Speaker 1: and he's like uh and then all of a sudden, 694 00:38:14,280 --> 00:38:16,919 Speaker 1: you've got you know. Jason kalakanis another saying oh, I'll 695 00:38:16,960 --> 00:38:19,319 Speaker 1: do it, I'll do it, pick me, pick me, But 696 00:38:19,360 --> 00:38:22,200 Speaker 1: he's just he's just silent. Right. Do you think he 697 00:38:22,239 --> 00:38:24,919 Speaker 1: actually does step down? A lot of people were saying 698 00:38:24,920 --> 00:38:27,359 Speaker 1: he was getting pressure to step down. He set this 699 00:38:27,440 --> 00:38:32,759 Speaker 1: pole up because he wanted to pretend that investors were 700 00:38:32,800 --> 00:38:35,319 Speaker 1: pressuring him to step down from Twitter. Do you think 701 00:38:35,360 --> 00:38:37,920 Speaker 1: that's really true? Or now? I would think yeah, I 702 00:38:37,960 --> 00:38:41,280 Speaker 1: mean I think everybody's pressuring him too. On some level, 703 00:38:41,360 --> 00:38:44,120 Speaker 1: I think he must say to himself this, this is 704 00:38:44,160 --> 00:38:48,239 Speaker 1: not fun anymore, so he wants to go. I would 705 00:38:48,239 --> 00:38:50,239 Speaker 1: think on sub level, I think it's gonna the whole 706 00:38:50,239 --> 00:38:52,839 Speaker 1: thing is gonna fail, and I think if it is, 707 00:38:52,920 --> 00:38:55,279 Speaker 1: then he will certainly step down before it does so 708 00:38:55,360 --> 00:38:57,600 Speaker 1: he can blame someone else for what happened. You know, 709 00:38:57,600 --> 00:39:00,120 Speaker 1: the way Jack Welch jumped ship from ge when he 710 00:39:00,200 --> 00:39:02,480 Speaker 1: realized that his whole plan to turn a great company 711 00:39:02,480 --> 00:39:04,920 Speaker 1: into a bank was going to fail. It's like he 712 00:39:05,120 --> 00:39:07,839 Speaker 1: takes the golden parachute and blames what's his name, Jeff 713 00:39:07,920 --> 00:39:10,680 Speaker 1: mml Oh, that guy didn't right me. Do you think 714 00:39:10,840 --> 00:39:15,160 Speaker 1: that ultimately what happens is Twitter dies. I don't think 715 00:39:15,160 --> 00:39:18,160 Speaker 1: it dies. There's such a critical mass of people on there. 716 00:39:18,200 --> 00:39:20,400 Speaker 1: I mean, I do believe it would be easy to 717 00:39:20,520 --> 00:39:23,160 Speaker 1: fix Twitter. It would just you. You would change its 718 00:39:23,160 --> 00:39:26,439 Speaker 1: central it's it's character back to what it was when 719 00:39:26,480 --> 00:39:30,080 Speaker 1: it was super successful. I think it could die and 720 00:39:30,120 --> 00:39:33,800 Speaker 1: then get bought by someone and remade. It's funny that 721 00:39:33,880 --> 00:39:36,040 Speaker 1: we used to say this, like back when my Space 722 00:39:36,120 --> 00:39:38,640 Speaker 1: was dying and Murdoch bought it, and then like justin 723 00:39:38,680 --> 00:39:40,919 Speaker 1: timber Lake bought it and it's like they could never 724 00:39:41,080 --> 00:39:44,440 Speaker 1: quite revive it again. But if you took away the 725 00:39:44,520 --> 00:39:49,600 Speaker 1: algorithm right completely? Yeah, explain taking away the algorithm. The 726 00:39:49,719 --> 00:39:53,239 Speaker 1: big problem with Twitter for for most of us is 727 00:39:53,280 --> 00:39:56,640 Speaker 1: this big algorithm that decides kind of what you see, 728 00:39:56,680 --> 00:40:00,520 Speaker 1: what gets boosted, what gets suppressed, and the whole thing 729 00:40:00,600 --> 00:40:03,520 Speaker 1: is unnecessary, The whole thing is stupid. It makes Twitter 730 00:40:03,680 --> 00:40:05,960 Speaker 1: into the thing we never liked about Facebook and all 731 00:40:05,960 --> 00:40:09,200 Speaker 1: these other places. What Twitter kind of started out as, 732 00:40:09,239 --> 00:40:12,439 Speaker 1: which was really fun, was gosh, it was started back 733 00:40:12,440 --> 00:40:16,400 Speaker 1: in the day when even our SMS texting wasn't compatible 734 00:40:16,560 --> 00:40:18,960 Speaker 1: from one carrier to the other, right, and A and T, 735 00:40:19,200 --> 00:40:21,560 Speaker 1: A T and T and Verizon and timoil, well they 736 00:40:21,600 --> 00:40:24,120 Speaker 1: didn't even quite talk to each other. Well. So Twitter 737 00:40:24,200 --> 00:40:27,239 Speaker 1: was started really as a way for you to send 738 00:40:27,239 --> 00:40:29,719 Speaker 1: a text message to lots of different people at the 739 00:40:29,760 --> 00:40:34,560 Speaker 1: same time, across all the different phone systems. And the 740 00:40:34,680 --> 00:40:37,800 Speaker 1: idea was you would see the tweets of the people 741 00:40:37,880 --> 00:40:41,239 Speaker 1: that you're following, and they and people who followed you 742 00:40:41,239 --> 00:40:45,239 Speaker 1: would see your tweets. It makes the most sense, right. 743 00:40:45,400 --> 00:40:48,560 Speaker 1: It was super simple, so then there was no decisions 744 00:40:48,600 --> 00:40:50,439 Speaker 1: to make. It was nothing. It's like, if you don't 745 00:40:50,440 --> 00:40:52,880 Speaker 1: like what you're seeing, you just you just stop looking 746 00:40:52,920 --> 00:40:55,319 Speaker 1: at it. So the first really smart thing to do 747 00:40:55,360 --> 00:40:57,439 Speaker 1: with Twitter, again it makes it a little bit less 748 00:40:57,440 --> 00:41:00,279 Speaker 1: profitable in a certain way, but more profitable in a 749 00:41:00,320 --> 00:41:03,400 Speaker 1: long term way, is you get rid of the algorithm 750 00:41:03,680 --> 00:41:05,799 Speaker 1: or if you want to get advanced and you really 751 00:41:05,800 --> 00:41:10,040 Speaker 1: like algorithms, you let users train their own algorithms through 752 00:41:10,120 --> 00:41:12,360 Speaker 1: like a simple interface. And then what I would do 753 00:41:12,400 --> 00:41:14,560 Speaker 1: if if you have a user and the users using 754 00:41:14,600 --> 00:41:17,840 Speaker 1: an algorithm to sort of tune their experience, I would 755 00:41:17,920 --> 00:41:20,840 Speaker 1: make them like check in once a month or quarterly, 756 00:41:21,200 --> 00:41:23,520 Speaker 1: like do a reality check just so you know, Okay, 757 00:41:23,600 --> 00:41:26,440 Speaker 1: here's what's actually going on. We just want you to 758 00:41:26,480 --> 00:41:28,319 Speaker 1: check it out. Then you can go back to your 759 00:41:28,360 --> 00:41:32,600 Speaker 1: to your algorithm, so you see for a minute what 760 00:41:32,600 --> 00:41:35,080 Speaker 1: what they're tuning and what they're not. You know. Then 761 00:41:35,480 --> 00:41:37,400 Speaker 1: I think you've got to accept that Twitter is a 762 00:41:37,480 --> 00:41:43,120 Speaker 1: publishing platform, and then that has consequences for two thirt exactly. 763 00:41:43,239 --> 00:41:45,839 Speaker 1: But so what you know at a certain point, yes, 764 00:41:46,000 --> 00:41:49,640 Speaker 1: you're a company. You are you are distributing this stuff 765 00:41:49,640 --> 00:41:52,359 Speaker 1: and making money off it. So you just take your 766 00:41:52,400 --> 00:41:55,120 Speaker 1: budget and you pay for it. You take like fifty 767 00:41:55,520 --> 00:41:57,920 Speaker 1: of your budget and you give it to editors and 768 00:41:57,960 --> 00:42:00,000 Speaker 1: they do this thing we used to call remember journalist 769 00:42:00,000 --> 00:42:02,759 Speaker 1: stick standards and practices. I think there a couple of 770 00:42:03,280 --> 00:42:05,800 Speaker 1: times or times of London or somebody, I don't know, 771 00:42:05,920 --> 00:42:09,279 Speaker 1: somebody stills Guardian. It's this thing you could revive it 772 00:42:09,320 --> 00:42:12,000 Speaker 1: go to Columbia. There's people who know there's there's books. 773 00:42:12,040 --> 00:42:13,760 Speaker 1: But I just want to get back to this idea 774 00:42:13,800 --> 00:42:16,120 Speaker 1: for a second, because I was talking to someone who 775 00:42:16,200 --> 00:42:18,880 Speaker 1: used to work at Twitter. So one of the things 776 00:42:18,920 --> 00:42:22,719 Speaker 1: he was saying is the structure of Twitter is fundamentally limited. 777 00:42:23,040 --> 00:42:26,320 Speaker 1: One of the problems with Twitter was that Twitter loses 778 00:42:26,360 --> 00:42:29,120 Speaker 1: eighty percent of its new users in the first month 779 00:42:29,200 --> 00:42:33,160 Speaker 1: because it can't personalize fast enough. Ye. Well, she said, 780 00:42:33,400 --> 00:42:35,920 Speaker 1: it shouldn't be. It's not that hard. What you do 781 00:42:36,200 --> 00:42:38,800 Speaker 1: is is I guess what he's talking about is on boarding. 782 00:42:39,200 --> 00:42:41,799 Speaker 1: So you come onto a new social network. What do 783 00:42:41,880 --> 00:42:44,600 Speaker 1: you do? Who do you follow? What happens? You know? 784 00:42:44,719 --> 00:42:47,040 Speaker 1: What you do is you find someone you like. Like 785 00:42:47,360 --> 00:42:49,319 Speaker 1: Let's say I went on Twitter for the first time 786 00:42:49,360 --> 00:42:52,480 Speaker 1: and I like William Gibson. I go to his profile 787 00:42:52,800 --> 00:42:57,319 Speaker 1: and I see who's William Gibson following Bruce Sterling. Oh, 788 00:42:57,360 --> 00:43:01,000 Speaker 1: there's Neil Stevenson. Oh, the Science Fics Club of America. 789 00:43:01,400 --> 00:43:04,040 Speaker 1: And then that's it. You know, and you can follow 790 00:43:04,360 --> 00:43:07,920 Speaker 1: some there's some accounts you could follow that are aggregating 791 00:43:08,280 --> 00:43:11,840 Speaker 1: other people's stuff. So it's really not that hard. The 792 00:43:12,040 --> 00:43:15,240 Speaker 1: problem is if you're trying to extract money out of people. 793 00:43:15,280 --> 00:43:18,359 Speaker 1: If you're trying to get their engagement up from you know, 794 00:43:18,480 --> 00:43:21,800 Speaker 1: three minutes to thirty hours, you know, in two weeks, 795 00:43:22,320 --> 00:43:26,080 Speaker 1: then sure, you know, if you're trying to grow your subscribers. 796 00:43:26,360 --> 00:43:29,400 Speaker 1: The issue here is not really that any of these 797 00:43:29,440 --> 00:43:33,279 Speaker 1: metrics are a problem. It's that it wasn't enough for 798 00:43:33,360 --> 00:43:36,120 Speaker 1: Twitter to earn two billion dollars a year. You know. 799 00:43:36,160 --> 00:43:38,879 Speaker 1: That's what they were earning when I considered them kind 800 00:43:38,880 --> 00:43:41,200 Speaker 1: of at their sweet spot before their I p O, 801 00:43:41,800 --> 00:43:44,200 Speaker 1: you know, and it was like, oh, two billion dollars 802 00:43:44,200 --> 00:43:46,640 Speaker 1: a year, And as soon as they went public, everyone said, oh, 803 00:43:46,680 --> 00:43:49,280 Speaker 1: now what they're gonna do? They peaked at two billion 804 00:43:49,320 --> 00:43:53,400 Speaker 1: dollars a year. Two billion for a hundred forty character 805 00:43:53,480 --> 00:43:57,399 Speaker 1: messaging app. Yea, we won. And then you figure out, 806 00:43:57,680 --> 00:43:59,640 Speaker 1: let's see if there's a way that we can keep 807 00:43:59,680 --> 00:44:03,960 Speaker 1: this forty character messaging app going with just two billion 808 00:44:04,000 --> 00:44:06,520 Speaker 1: dollars a year, with just the revenue of The New 809 00:44:06,600 --> 00:44:10,080 Speaker 1: York Times, Can we do it? And I bet I 810 00:44:10,120 --> 00:44:12,239 Speaker 1: bet they could have if they didn't want to make 811 00:44:12,280 --> 00:44:15,160 Speaker 1: a thousand ext returns for all these these idiots, the 812 00:44:15,239 --> 00:44:16,920 Speaker 1: same idiots are like, well, if you don't give me 813 00:44:16,960 --> 00:44:21,960 Speaker 1: a thousand ext return. I'm gonna go to crypto al right, 814 00:44:22,080 --> 00:44:26,000 Speaker 1: right right now. So you feel like capitalism really crushed Twitter. 815 00:44:26,200 --> 00:44:31,360 Speaker 1: A form of capitalism corporate right, corporate greed on digital 816 00:44:31,400 --> 00:44:35,680 Speaker 1: steroids is really the difference there used to be capitalists 817 00:44:35,760 --> 00:44:38,600 Speaker 1: used to understand you invest in a company and you 818 00:44:38,680 --> 00:44:41,440 Speaker 1: make the money through the returns, like as a as 819 00:44:41,480 --> 00:44:45,319 Speaker 1: a landlord. That was the original evil. Now they're not 820 00:44:45,400 --> 00:44:48,680 Speaker 1: even landlords right now. They make their money by buying 821 00:44:48,719 --> 00:44:51,160 Speaker 1: the property and then selling it with you in it, 822 00:44:51,440 --> 00:44:55,200 Speaker 1: you know, And that's very different. Yeah, yeah, it's more 823 00:44:55,239 --> 00:44:59,200 Speaker 1: like a mobster thing. Yeah, it's always good. Who doesn't 824 00:44:59,239 --> 00:45:02,440 Speaker 1: like a mobster. I want you to predict the future 825 00:45:02,680 --> 00:45:04,799 Speaker 1: on how this goes, and you have to be right 826 00:45:04,960 --> 00:45:06,800 Speaker 1: or else we will make fun of you. The short 827 00:45:06,920 --> 00:45:11,399 Speaker 1: term future is people are going to feel very victimized 828 00:45:11,440 --> 00:45:14,640 Speaker 1: by what happened. Oh this bad people like Sam Bankman 829 00:45:14,719 --> 00:45:17,840 Speaker 1: Freed and they took our money and they're fraudulent and 830 00:45:17,920 --> 00:45:20,879 Speaker 1: all this stuff. But Sam Bankman Freed is really going 831 00:45:20,920 --> 00:45:23,799 Speaker 1: to jail and soon and for a long time, I 832 00:45:23,800 --> 00:45:28,160 Speaker 1: mean faster than anything I've seen. Right, Yeah, But don't 833 00:45:28,600 --> 00:45:34,160 Speaker 1: let the fact that he was a bad person fool 834 00:45:34,239 --> 00:45:37,399 Speaker 1: you into thinking that. But for bad actors like that, 835 00:45:37,760 --> 00:45:41,480 Speaker 1: investing in crypto would have been a great thing. Right, 836 00:45:42,160 --> 00:45:46,880 Speaker 1: It's like, no, so throw the industry out with the bathwater. No. 837 00:45:47,440 --> 00:45:51,399 Speaker 1: But except that, it's this is second life, right, these 838 00:45:51,400 --> 00:45:54,680 Speaker 1: are video games. I have way less sympathy for the 839 00:45:54,800 --> 00:45:58,480 Speaker 1: supposed victims of Sam bankmun Freed than most, right. I mean, 840 00:45:58,680 --> 00:46:01,000 Speaker 1: it's it's one thing to an vest with who is 841 00:46:01,040 --> 00:46:03,880 Speaker 1: the horrible pyramid scheme guy, the one who ruined the 842 00:46:03,880 --> 00:46:06,920 Speaker 1: New York Mets, Yeah, made off. It's one thing to 843 00:46:06,960 --> 00:46:10,360 Speaker 1: do that because at least there's sort of like SEC regulations. 844 00:46:10,400 --> 00:46:12,520 Speaker 1: You think it's stocks. It's a little too good to 845 00:46:12,560 --> 00:46:14,319 Speaker 1: be true. But I don't want to think about that, 846 00:46:14,560 --> 00:46:16,600 Speaker 1: and you're still investing, all right, you know there's a 847 00:46:16,600 --> 00:46:19,439 Speaker 1: little problem. But the people who invest in crypto, really 848 00:46:19,440 --> 00:46:22,640 Speaker 1: they've wanted to get rich for doing nothing. Right. They 849 00:46:22,719 --> 00:46:25,880 Speaker 1: know it's nothing. They're investing in, nothing except maybe polluting 850 00:46:25,920 --> 00:46:28,799 Speaker 1: the world more rapidly with the worser coins. Right. They 851 00:46:28,840 --> 00:46:32,920 Speaker 1: didn't even understand what what Sam bankmun Freed was supposed 852 00:46:32,960 --> 00:46:36,239 Speaker 1: to be doing, much less what he actually did. So yeah, 853 00:46:36,400 --> 00:46:38,880 Speaker 1: I mean, what was at one point five trillion dollars 854 00:46:38,920 --> 00:46:42,360 Speaker 1: was vaporized as these coins have gone, and it's because 855 00:46:42,680 --> 00:46:45,040 Speaker 1: all the coins that you're investing in are just are 856 00:46:45,080 --> 00:46:48,120 Speaker 1: not really stable. They're just leveraged on other things. It's 857 00:46:48,160 --> 00:46:52,279 Speaker 1: called staking everybody, staking everybody else in all of these 858 00:46:52,320 --> 00:46:55,160 Speaker 1: complex ways that you can never trace back anymore. What's 859 00:46:55,280 --> 00:46:58,200 Speaker 1: really going on once these things crashed. The ledger is 860 00:46:58,280 --> 00:47:02,520 Speaker 1: ultimately infinite. It so, no, I don't have sympathy for 861 00:47:02,520 --> 00:47:05,360 Speaker 1: people who wanted to make money for actually doing nothing. 862 00:47:05,600 --> 00:47:07,680 Speaker 1: It's like the only reason I have any sympathy for 863 00:47:07,760 --> 00:47:10,239 Speaker 1: them is because their TV and movie stars were on 864 00:47:10,280 --> 00:47:13,399 Speaker 1: the Super Bowl telling them it was okay, right yeah, 865 00:47:13,440 --> 00:47:16,440 Speaker 1: And there's no culpability for any of those people, right. 866 00:47:16,719 --> 00:47:21,040 Speaker 1: But ultimately the good of this is the opportunity here 867 00:47:21,120 --> 00:47:23,840 Speaker 1: is the same opportunity we had after the dot com crash. 868 00:47:24,080 --> 00:47:28,160 Speaker 1: It's like, oh my gosh. The Internet is not for spying. 869 00:47:28,360 --> 00:47:31,440 Speaker 1: The Internet is not for data extraction. The Internet is 870 00:47:31,480 --> 00:47:35,800 Speaker 1: not a get rich quick scheme. It's a terrific decentralized 871 00:47:35,880 --> 00:47:41,320 Speaker 1: network through which we can actually model things and communicate differently. 872 00:47:41,640 --> 00:47:44,439 Speaker 1: If we lose that, it's like thinking that the only 873 00:47:44,480 --> 00:47:48,359 Speaker 1: thing horses are good for is horse racing. That's right, 874 00:47:48,800 --> 00:47:53,560 Speaker 1: they're beautiful, they'll love you. You know. There's all these 875 00:47:53,560 --> 00:47:55,920 Speaker 1: other things and it's like, that's we We've turned the 876 00:47:55,960 --> 00:47:59,520 Speaker 1: whole thing, of course, into a betting parlor. And crypto 877 00:48:00,120 --> 00:48:05,319 Speaker 1: is in some ways the most honest expression of that Internet. 878 00:48:05,480 --> 00:48:07,840 Speaker 1: It was like, let's just go pure, just bet on 879 00:48:07,960 --> 00:48:11,279 Speaker 1: the digital symbols themselves. It's like, okay, you don't even 880 00:48:11,280 --> 00:48:13,359 Speaker 1: need a Google, you don't even need the company, It's 881 00:48:13,400 --> 00:48:16,200 Speaker 1: just the symbol. Right, So it was pure and I 882 00:48:16,239 --> 00:48:20,160 Speaker 1: think our ability to see that unwinds all of these 883 00:48:20,160 --> 00:48:22,840 Speaker 1: other things. It's almost in a kind of a biblical 884 00:48:23,239 --> 00:48:27,520 Speaker 1: idle smashing iconoclastic way, right, these are the plagues, These 885 00:48:27,560 --> 00:48:30,960 Speaker 1: are the These are the desecration of the of the gods. 886 00:48:31,200 --> 00:48:34,920 Speaker 1: And uh, now we can move on. Does Post do it? 887 00:48:35,080 --> 00:48:38,000 Speaker 1: Do you think Post replaces Twitter? I mean, if anything 888 00:48:38,040 --> 00:48:41,200 Speaker 1: replaces Twitter, it would be uh kind of mastered on. 889 00:48:41,840 --> 00:48:43,760 Speaker 1: I think it's sort of the is the fun place. 890 00:48:43,960 --> 00:48:46,520 Speaker 1: But I don't think Twitter has to go away. I 891 00:48:46,560 --> 00:48:50,000 Speaker 1: think it just is gonna It's gonna change. I think 892 00:48:50,040 --> 00:48:54,680 Speaker 1: there will be a post Musk Twitter. Ideally it will 893 00:48:54,719 --> 00:48:58,880 Speaker 1: be a Twitter that is purchased by its users and 894 00:48:59,000 --> 00:49:02,360 Speaker 1: moderators that we actually do use the block chain, I 895 00:49:02,360 --> 00:49:08,080 Speaker 1: mean Twitter plus the blockchain almost works. It's they marry 896 00:49:08,120 --> 00:49:10,839 Speaker 1: the two and get rid of the musk and you 897 00:49:10,960 --> 00:49:13,719 Speaker 1: end up with really what's called a dow you know, 898 00:49:13,920 --> 00:49:18,640 Speaker 1: a company or organization where the ownership stakes is determined 899 00:49:18,640 --> 00:49:21,400 Speaker 1: by people's activity on the platform. And that would be 900 00:49:21,440 --> 00:49:25,520 Speaker 1: an interesting experiment, so interesting. Thank you, thank you, thank 901 00:49:25,520 --> 00:49:28,319 Speaker 1: you for joining us. Thank you, and happy New Year. 902 00:49:28,400 --> 00:49:31,600 Speaker 1: It's all good. Everything's going to be fine from here on. 903 00:49:31,960 --> 00:49:43,960 Speaker 1: So good. I'm excited. I can't wait. Yeah, Molly John Fast, 904 00:49:44,400 --> 00:49:49,080 Speaker 1: Chessie Gannon. You know, like in those like mean Girls 905 00:49:49,200 --> 00:49:51,920 Speaker 1: Heather's type movies, you know, they can never have the 906 00:49:51,960 --> 00:49:54,439 Speaker 1: top dog be the top dog of someone always wants 907 00:49:54,440 --> 00:49:57,560 Speaker 1: to fight. And Warren Bober she's coming from TG, the 908 00:49:57,600 --> 00:50:02,120 Speaker 1: top dog of the Crazy Caucus. Well, MTG is coming 909 00:50:02,160 --> 00:50:05,560 Speaker 1: for Lauren Baubert, coming back at her after the aggression, 910 00:50:05,800 --> 00:50:11,000 Speaker 1: right because Lauren Boubert won't bend the knee to Trump's 911 00:50:11,040 --> 00:50:14,920 Speaker 1: Mike Kevin. So, Lauren Boubert was interviewed at the Turning 912 00:50:14,960 --> 00:50:17,239 Speaker 1: Point event this weekend, and she decided to take a 913 00:50:17,280 --> 00:50:20,840 Speaker 1: little dig about how she won't support Kevin McCarthy, and 914 00:50:21,360 --> 00:50:23,680 Speaker 1: she made a dig about Marjorie Taylor Green and her 915 00:50:23,760 --> 00:50:26,520 Speaker 1: Jewish space laser beliefs. I think it's well worth the 916 00:50:26,800 --> 00:50:30,680 Speaker 1: explain what the dig was. She said, I don't believe 917 00:50:30,680 --> 00:50:34,680 Speaker 1: in Kevin McCarthy or Jewish space lasers. I mean not bad, 918 00:50:35,080 --> 00:50:39,640 Speaker 1: you know, not wrong, I mean neither do I right. 919 00:50:40,640 --> 00:50:46,359 Speaker 1: Marjorie Taylor Green shot back that Lauren Boubert barely won 920 00:50:46,480 --> 00:50:50,319 Speaker 1: her election, which she barely did. We actually had the 921 00:50:50,480 --> 00:50:53,680 Speaker 1: candidate who ran against her and almost one on this 922 00:50:53,760 --> 00:50:57,239 Speaker 1: very podcast, and he may again. But the two of them, 923 00:50:57,680 --> 00:51:01,320 Speaker 1: two of the worst people, are our moment of February. 924 00:51:02,400 --> 00:51:05,680 Speaker 1: That's it for this episode of Fast Politics. Tune in 925 00:51:05,760 --> 00:51:08,960 Speaker 1: every Monday, Wednesday and Friday to your the best minds 926 00:51:08,960 --> 00:51:12,239 Speaker 1: in politics makes sense of all this chaos. If you 927 00:51:12,320 --> 00:51:15,040 Speaker 1: enjoyed what you've heard, please send it to a friend 928 00:51:15,080 --> 00:51:18,640 Speaker 1: and keep the conversation going. And again, thanks for listening.