1 00:00:09,000 --> 00:00:12,200 Speaker 1: Good morning, everybody, Happy Monday. We have an amazing show 2 00:00:12,200 --> 00:00:14,320 Speaker 1: for everybody today. What do we have, Crystal. Indeed, we 3 00:00:14,400 --> 00:00:19,520 Speaker 1: do some really something comments from Anthony Fauci that we're 4 00:00:19,520 --> 00:00:23,240 Speaker 1: going to dig into. Jeff Bezos gets a bailout from 5 00:00:23,280 --> 00:00:25,720 Speaker 1: the Senate, which he needs, you know, richest man on 6 00:00:25,760 --> 00:00:28,600 Speaker 1: the planet definitely needs some help from our nation senators. 7 00:00:29,440 --> 00:00:34,240 Speaker 1: Fascinating lawsuit against Google in Ohio that has potentially major implications. 8 00:00:34,360 --> 00:00:37,240 Speaker 1: Some new numbers on how the public is thinking about UFOs, 9 00:00:37,640 --> 00:00:40,720 Speaker 1: both of our breaking Points monologues. We also recorded an 10 00:00:40,720 --> 00:00:44,160 Speaker 1: interview with Kyle Kolinsky. He's gonna be talking about justice, 11 00:00:44,159 --> 00:00:47,600 Speaker 1: Democrats and what went right and more importantly, maybe what 12 00:00:47,680 --> 00:00:49,640 Speaker 1: went wrong. But we did want to start with those 13 00:00:49,680 --> 00:00:52,400 Speaker 1: comments from the one and only doctor Anthony pot Doctor 14 00:00:52,440 --> 00:00:55,400 Speaker 1: Anthony Fauci. This is one of the most revealing interviews 15 00:00:55,400 --> 00:00:57,280 Speaker 1: that he's ever given. I'm going to let the entire 16 00:00:57,320 --> 00:00:59,280 Speaker 1: thing speak for itself and then we'll just dissect it 17 00:00:59,320 --> 00:01:01,920 Speaker 1: on the other side. Let's take a listen. Now you're 18 00:01:01,960 --> 00:01:04,720 Speaker 1: at the focal point. What is your level of concern 19 00:01:04,760 --> 00:01:07,480 Speaker 1: that we're going to discredit public health officials to the 20 00:01:07,480 --> 00:01:11,120 Speaker 1: point of, you know, look at Russia, they actually have 21 00:01:11,160 --> 00:01:13,920 Speaker 1: a good vaccine, and none of their citizens will take 22 00:01:13,959 --> 00:01:17,640 Speaker 1: it because they don't trust their own government. Right. It's 23 00:01:17,800 --> 00:01:20,760 Speaker 1: very dangerous, Chuck, because a lot of what you're seeing 24 00:01:21,280 --> 00:01:25,040 Speaker 1: as attacks on me, quite frankly, are attacks on science. 25 00:01:25,720 --> 00:01:28,160 Speaker 1: Because all of the things that I have spoken about 26 00:01:28,640 --> 00:01:33,480 Speaker 1: consistently from the very beginning have been fundamentally based on science. 27 00:01:34,080 --> 00:01:38,759 Speaker 1: Sometimes those things were inconvenient truths for people, and there 28 00:01:38,840 --> 00:01:42,000 Speaker 1: was pushback against me. So if you are trying to, 29 00:01:42,480 --> 00:01:46,120 Speaker 1: you know, get at me as a public health official 30 00:01:46,160 --> 00:01:50,240 Speaker 1: and a scientist, you're really attacking not only doctor Anthony Fauci, 31 00:01:50,280 --> 00:01:54,640 Speaker 1: you are attacking science and anybody that looks at what's 32 00:01:54,720 --> 00:01:59,400 Speaker 1: going on clearly sees that you have to be asleep 33 00:02:00,200 --> 00:02:04,040 Speaker 1: to see that that is what's going on. Science and 34 00:02:04,080 --> 00:02:09,880 Speaker 1: the truth are being attacked. Oh really, science and the 35 00:02:09,880 --> 00:02:12,960 Speaker 1: truth are being attacked. This is outrageous to me, Crystal, 36 00:02:13,040 --> 00:02:16,960 Speaker 1: because what Fauci has done is he has conflated himself 37 00:02:17,320 --> 00:02:21,160 Speaker 1: with defending the public health establishment and the scientific community. 38 00:02:21,360 --> 00:02:23,840 Speaker 1: In a way, he is right, It is an attack 39 00:02:24,000 --> 00:02:27,680 Speaker 1: on science and the scientific establishment itself. In order to 40 00:02:27,720 --> 00:02:30,800 Speaker 1: point out that their actions with gain of function research, 41 00:02:30,800 --> 00:02:34,680 Speaker 1: which they have irresponsibly, funded, promoted, and then covered up 42 00:02:34,720 --> 00:02:38,079 Speaker 1: possibly the role in the outbreak of coronavirus in the 43 00:02:38,160 --> 00:02:41,320 Speaker 1: very first place. It is an attack by anybody who 44 00:02:41,400 --> 00:02:44,040 Speaker 1: wants to know the truth about why coronavirus came about 45 00:02:44,360 --> 00:02:47,640 Speaker 1: in order to go after doctor Anthony Fauci and maybe 46 00:02:47,760 --> 00:02:50,240 Speaker 1: point out the fact that he was instrumental in reversing 47 00:02:50,280 --> 00:02:53,280 Speaker 1: the ban on gain of function research, that he the 48 00:02:53,320 --> 00:02:56,680 Speaker 1: public Health establishment and others covered up many of the 49 00:02:56,680 --> 00:02:58,760 Speaker 1: well known facts in the early days of the pandemic 50 00:02:59,000 --> 00:03:03,440 Speaker 1: showing a possible man made origin of coronavirus, and that 51 00:03:03,480 --> 00:03:06,520 Speaker 1: they have continued to lie to the American people for 52 00:03:06,600 --> 00:03:09,200 Speaker 1: over a year and a half. It's not an exaggeration. 53 00:03:09,360 --> 00:03:12,519 Speaker 1: He's admitted about lying about masks. He has admitted manipulating 54 00:03:12,520 --> 00:03:15,239 Speaker 1: public opinion whenever it comes to what level of herd 55 00:03:15,280 --> 00:03:18,880 Speaker 1: immunity he thinks is acceptable, and more. But really, what 56 00:03:18,919 --> 00:03:21,640 Speaker 1: this is, this is the quiet part, out loud. Fauci says, 57 00:03:21,639 --> 00:03:24,560 Speaker 1: if you disagree with him, you're anti science, and in reality, 58 00:03:24,800 --> 00:03:27,040 Speaker 1: science is about the pursuit of the truth. He has 59 00:03:27,080 --> 00:03:29,800 Speaker 1: covered up the truth almost since the very beginning. The 60 00:03:30,120 --> 00:03:33,680 Speaker 1: critiques of him, some of them have been unjustified, and 61 00:03:33,720 --> 00:03:35,720 Speaker 1: some of them, the ones that you just laid out, 62 00:03:35,840 --> 00:03:38,520 Speaker 1: have been completely justified. And in fact, I would say 63 00:03:38,720 --> 00:03:42,080 Speaker 1: that those critiques where he has fallen short of what 64 00:03:42,160 --> 00:03:46,120 Speaker 1: the facts and the evidence actually say, those critiques bolster 65 00:03:46,840 --> 00:03:50,640 Speaker 1: science real its real science, because as you said, science 66 00:03:50,680 --> 00:03:53,880 Speaker 1: is about the pursuit of knowledge and the truth. So 67 00:03:53,920 --> 00:03:57,720 Speaker 1: the distance between what you doctor Fauchi are saying and 68 00:03:57,880 --> 00:04:01,680 Speaker 1: where that truth lies point out out that inconsistency is 69 00:04:01,720 --> 00:04:05,440 Speaker 1: actually bolstering science. And you know, it's really interesting. Obviously 70 00:04:05,480 --> 00:04:08,320 Speaker 1: he knows his audience here like this is exactly Russian, 71 00:04:12,400 --> 00:04:16,320 Speaker 1: but then you know the language Fauci uses about truth 72 00:04:16,440 --> 00:04:19,880 Speaker 1: and lies and commitment to facts and science, etcetera, etcetera. 73 00:04:19,960 --> 00:04:21,840 Speaker 1: I mean, it sounds like one of those like liberal 74 00:04:21,880 --> 00:04:25,960 Speaker 1: signs that's in every affluent liberals yard in this city. 75 00:04:26,360 --> 00:04:29,440 Speaker 1: But if you actually think about what he's saying here, 76 00:04:29,880 --> 00:04:33,200 Speaker 1: it's some real authoritarian shop. Incredibly like if you think 77 00:04:33,240 --> 00:04:37,279 Speaker 1: about strong man dictators, what they do is they equate 78 00:04:37,360 --> 00:04:40,279 Speaker 1: themselves with the state, and they say, you can't criticize me, 79 00:04:40,760 --> 00:04:43,080 Speaker 1: because then you're criticized. You're putting down the country, you're 80 00:04:43,120 --> 00:04:46,680 Speaker 1: criticizing the state. That's exactly the tactic he's using here. 81 00:04:46,760 --> 00:04:51,240 Speaker 1: He's putting himself above reproach. Oh, if you're criticizing me, 82 00:04:51,720 --> 00:04:55,480 Speaker 1: you're really attacking science and facts and truth. And yeah, 83 00:04:55,520 --> 00:04:58,240 Speaker 1: a lot of liberals will absolutely eat that up. But 84 00:04:58,320 --> 00:05:02,960 Speaker 1: that's the polar opposite of what a true liberal value 85 00:05:02,960 --> 00:05:05,279 Speaker 1: set would look like. And I think it's really important 86 00:05:05,560 --> 00:05:09,720 Speaker 1: to just go through again the facts of where we 87 00:05:09,800 --> 00:05:13,640 Speaker 1: know he's fallen short on masks at the very beginning 88 00:05:13,760 --> 00:05:16,680 Speaker 1: we've played for you on Rising the clip where he says, 89 00:05:17,000 --> 00:05:19,560 Speaker 1: if you are a regular citizen, don't get a mask 90 00:05:19,760 --> 00:05:23,440 Speaker 1: because it's not effective. At the same time, they the 91 00:05:23,480 --> 00:05:25,480 Speaker 1: real reason he was saying that was because they were 92 00:05:25,480 --> 00:05:28,320 Speaker 1: worried about a run on masks and not being available 93 00:05:28,320 --> 00:05:31,880 Speaker 1: for frontline workers. Okay, that's that's like a noble goal, 94 00:05:32,440 --> 00:05:35,240 Speaker 1: But you weren't going on the sign you have to 95 00:05:35,240 --> 00:05:38,400 Speaker 1: be if you want to be a trusted science expert, 96 00:05:38,800 --> 00:05:41,480 Speaker 1: leave the spin and all the bullshit to the politicians. 97 00:05:41,560 --> 00:05:43,760 Speaker 1: You just need to lay on the fact you failed. 98 00:05:43,839 --> 00:05:46,440 Speaker 1: Number one. There, you and I both gave him a 99 00:05:46,480 --> 00:05:49,200 Speaker 1: lot of latitude, Like it was the beginning. I regret 100 00:05:49,240 --> 00:05:51,599 Speaker 1: someone he screwed up. There was a lot of you know, 101 00:05:51,720 --> 00:05:54,840 Speaker 1: conflicting information coming out about masks. We really kind of 102 00:05:54,839 --> 00:05:57,040 Speaker 1: gave him a pass for a while on that. Then 103 00:05:57,080 --> 00:06:00,560 Speaker 1: it's revealed, he admits himself, because we're trying to pin 104 00:06:00,640 --> 00:06:02,680 Speaker 1: him down on like, well, okay, what is the herd 105 00:06:02,720 --> 00:06:06,680 Speaker 1: immunity number, because you were saying it's here, Now you're 106 00:06:06,680 --> 00:06:10,919 Speaker 1: saying it's there. You've been slowly increasing the herd immunity 107 00:06:11,040 --> 00:06:14,000 Speaker 1: percent that the population of vaccination of the population has 108 00:06:14,040 --> 00:06:17,200 Speaker 1: to achieve in order to achieve herd immunity. And he 109 00:06:17,320 --> 00:06:19,880 Speaker 1: admitted that he was telling people what he thought they 110 00:06:19,920 --> 00:06:23,640 Speaker 1: could handle in the moment. Again, maybe, I mean, it's 111 00:06:23,640 --> 00:06:26,240 Speaker 1: not even really okay for politicians to engage in that 112 00:06:26,480 --> 00:06:29,000 Speaker 1: type of spin. But when you're talking about someone who 113 00:06:29,040 --> 00:06:32,360 Speaker 1: is just supposed to be telling you the science, if 114 00:06:32,400 --> 00:06:34,640 Speaker 1: you don't know exactly what the number is, and I 115 00:06:34,640 --> 00:06:36,719 Speaker 1: think that's probably the truth is, like there's a range 116 00:06:36,720 --> 00:06:39,479 Speaker 1: and nobody knows specifically what the number is. Give us 117 00:06:39,520 --> 00:06:43,120 Speaker 1: the range, tell us what the probabilities are, give us 118 00:06:43,120 --> 00:06:46,400 Speaker 1: some sense. And the fact that we had those failures 119 00:06:46,520 --> 00:06:50,480 Speaker 1: early on fed into I mean, Trump is the worst 120 00:06:50,520 --> 00:06:52,479 Speaker 1: actor in all of this in terms of making it 121 00:06:52,520 --> 00:06:54,960 Speaker 1: this culture war thing. But people really felt like they 122 00:06:54,960 --> 00:06:58,159 Speaker 1: were on their own to figure out what made sense 123 00:06:58,200 --> 00:07:00,760 Speaker 1: for themselves and their families and to keep themself safe. 124 00:07:00,760 --> 00:07:02,920 Speaker 1: They had to go by sort of like these rules 125 00:07:02,920 --> 00:07:06,000 Speaker 1: of thumb and guestimates and whatever their kind of like 126 00:07:06,080 --> 00:07:10,080 Speaker 1: cultural frame told them made sense because of these types 127 00:07:10,080 --> 00:07:12,600 Speaker 1: of families. And then the most recent one that has revealed, 128 00:07:12,600 --> 00:07:14,880 Speaker 1: of course we've been talking about the COVID the lab 129 00:07:14,960 --> 00:07:17,960 Speaker 1: leak theory. We know now from the emails that were 130 00:07:18,000 --> 00:07:21,760 Speaker 1: revealed that he had some insight and some intelligence suggesting 131 00:07:21,800 --> 00:07:24,040 Speaker 1: it could have come from a lab early on, even 132 00:07:24,080 --> 00:07:26,920 Speaker 1: as he publicly was completely dismissing that out of hand. 133 00:07:27,240 --> 00:07:29,120 Speaker 1: Now he's kind of changed his tune a little bit, 134 00:07:29,360 --> 00:07:32,520 Speaker 1: playing fast and loose word games like very lawyerly with 135 00:07:32,520 --> 00:07:37,040 Speaker 1: what gain of function research technically is, So no pointing 136 00:07:37,080 --> 00:07:40,560 Speaker 1: those things out. That's not an attack on science. That's 137 00:07:40,760 --> 00:07:43,880 Speaker 1: bolstering the science. That's try to reclaim science as a 138 00:07:43,920 --> 00:07:48,080 Speaker 1: pursuit of truth rather than some like cultural battle or 139 00:07:48,760 --> 00:07:51,800 Speaker 1: playing field for your career ambitions. What's happened here is 140 00:07:51,800 --> 00:07:55,920 Speaker 1: Fauci's actually become the worst version of himself. Like for 141 00:07:56,000 --> 00:07:58,480 Speaker 1: a long period he was booking himself on television. He 142 00:07:58,520 --> 00:08:01,200 Speaker 1: was becoming a celebrity. He was becoming the thank you 143 00:08:01,240 --> 00:08:05,680 Speaker 1: doctor Fauci, Fauciauci caricature that we've all known and some 144 00:08:05,720 --> 00:08:07,840 Speaker 1: people loved, many of them who live in my neighborhood, 145 00:08:07,880 --> 00:08:11,000 Speaker 1: upper middle class white liberals. But what the real thing 146 00:08:11,120 --> 00:08:15,280 Speaker 1: is is now he has shown the utter vacuousness of 147 00:08:15,320 --> 00:08:19,320 Speaker 1: the phrase trust the science by conflating himself with the 148 00:08:19,360 --> 00:08:23,000 Speaker 1: craft of science itself, when once again, Fauci is the 149 00:08:23,040 --> 00:08:25,560 Speaker 1: person who funded gain of function research reverse the ban 150 00:08:25,800 --> 00:08:28,800 Speaker 1: by the Obama administration in twenty seventeen, he is the 151 00:08:28,800 --> 00:08:32,200 Speaker 1: person who directed gain of function research funds to doctor 152 00:08:32,240 --> 00:08:35,520 Speaker 1: Peter Dazak and the Eco Health Alliance, who funded back 153 00:08:35,559 --> 00:08:39,200 Speaker 1: coronavirus gain of function research at the Wuhan Institute of Virology, 154 00:08:39,320 --> 00:08:42,560 Speaker 1: which possibly led again, it's just a hypothesis to the 155 00:08:42,600 --> 00:08:45,240 Speaker 1: outbreak of COVID nineteen and led to the worst pandemic 156 00:08:45,400 --> 00:08:48,760 Speaker 1: in a century. So if that is what happened, and 157 00:08:48,800 --> 00:08:51,040 Speaker 1: if that's an attack on science, then so be it. 158 00:08:51,160 --> 00:08:54,560 Speaker 1: But I think what real scientific inquiry would say is 159 00:08:54,840 --> 00:08:57,160 Speaker 1: did this come from a lap? If so, maybe we 160 00:08:57,200 --> 00:09:00,600 Speaker 1: should rethink how we do gain of function research. Maybe 161 00:09:00,640 --> 00:09:04,080 Speaker 1: we should rethink how exactly we can communicate to the public. 162 00:09:04,280 --> 00:09:06,839 Speaker 1: Let's say gain of function research is necessary, which I'm 163 00:09:06,880 --> 00:09:09,480 Speaker 1: actually pretty dubious on. Still make the case to me 164 00:09:09,640 --> 00:09:11,600 Speaker 1: that you're going to be able to do it safely again, 165 00:09:11,920 --> 00:09:15,360 Speaker 1: and especially don't pull the wool over the eyes of 166 00:09:15,400 --> 00:09:18,760 Speaker 1: the American public and say that the function, the gain 167 00:09:18,800 --> 00:09:21,680 Speaker 1: of function research is so necessary that our response to 168 00:09:21,720 --> 00:09:23,720 Speaker 1: the pandemic, which is what Fauci and others have done, 169 00:09:23,960 --> 00:09:26,800 Speaker 1: is to push even more gain of function research to 170 00:09:26,880 --> 00:09:28,920 Speaker 1: the tune of one point two billion dollars to the 171 00:09:28,960 --> 00:09:32,040 Speaker 1: Global VIRM Project. All of those you put it all together, 172 00:09:32,320 --> 00:09:34,800 Speaker 1: and you just see a scenario in which the public 173 00:09:34,880 --> 00:09:37,800 Speaker 1: health establishment, the so called trust of scientists, they lied 174 00:09:37,840 --> 00:09:40,840 Speaker 1: to us from the beginning. The Fauci emails reveal that 175 00:09:40,920 --> 00:09:43,720 Speaker 1: he knew about a possible man made origin of coronavirus 176 00:09:43,880 --> 00:09:47,280 Speaker 1: January thirty first, twenty twenty, after the genome of the 177 00:09:47,360 --> 00:09:50,160 Speaker 1: virus had been sequenced. It was in his inbox. And 178 00:09:50,200 --> 00:09:52,920 Speaker 1: then those very same scientists came out and lied to 179 00:09:52,920 --> 00:09:55,319 Speaker 1: the public and said that there was no evidence whatsoever. 180 00:09:55,600 --> 00:09:58,160 Speaker 1: So in reality, maybe it is an attack on the 181 00:09:58,160 --> 00:10:02,320 Speaker 1: scientific establishment, but it is an affront to actual science itself, 182 00:10:02,440 --> 00:10:05,200 Speaker 1: and real scientists are the ones who know this. Fauci 183 00:10:05,240 --> 00:10:08,360 Speaker 1: really has just lost all credibility at this point. Trust 184 00:10:08,440 --> 00:10:11,520 Speaker 1: the science, but recognize that scientists are human beings exactly, 185 00:10:11,640 --> 00:10:14,280 Speaker 1: and follow the money. Human beings are fallible, They have 186 00:10:14,400 --> 00:10:17,040 Speaker 1: their own interests, They don't have their own professional stakes 187 00:10:17,520 --> 00:10:21,480 Speaker 1: in mind. And the fact that he wants, I mean, 188 00:10:21,520 --> 00:10:26,240 Speaker 1: the arrogance of saying that he's above reproach is really 189 00:10:26,320 --> 00:10:28,760 Speaker 1: something and you get away with it. He gets away 190 00:10:28,800 --> 00:10:30,600 Speaker 1: with it. And we've seen this pattern repeat time and 191 00:10:30,640 --> 00:10:34,520 Speaker 1: time again because you can point to like Donald Trump 192 00:10:34,600 --> 00:10:37,640 Speaker 1: and oh Donald Trump and his acolytes, and it's these 193 00:10:37,720 --> 00:10:42,640 Speaker 1: right wingers who hate him. And sometimes because that rhetoric 194 00:10:42,679 --> 00:10:45,720 Speaker 1: and some of the attacks are unfair, it gives Fauci 195 00:10:46,000 --> 00:10:48,400 Speaker 1: and his defenders warvile like to stand on to say, oh, 196 00:10:48,400 --> 00:10:50,480 Speaker 1: this is all in bad faith, so that they can 197 00:10:50,559 --> 00:10:54,000 Speaker 1: just dismiss all of the criticism out of hand, even 198 00:10:54,000 --> 00:10:57,040 Speaker 1: the pieces that are entirely legitimate. No, that's right. At 199 00:10:57,040 --> 00:10:59,240 Speaker 1: the same time, what are we talking about today? A 200 00:10:59,320 --> 00:11:03,800 Speaker 1: Bezos bout? We have like's happening Bezos update every day, 201 00:11:03,840 --> 00:11:05,679 Speaker 1: But my god, this is the richest man. What were 202 00:11:05,720 --> 00:11:09,040 Speaker 1: supposed to do it, and he controls the labor markets, 203 00:11:09,120 --> 00:11:13,520 Speaker 1: controls the consumer market. And this is something Ryan Grimm 204 00:11:13,600 --> 00:11:17,080 Speaker 1: actually brought to our attention. Initially, he was in line 205 00:11:17,160 --> 00:11:21,880 Speaker 1: to get this ten billion dollar bailout for his Blue 206 00:11:21,920 --> 00:11:26,240 Speaker 1: Origin Space company and this NASA contract, and essentially what 207 00:11:26,280 --> 00:11:29,119 Speaker 1: had happened is he had lost out on a competitive 208 00:11:29,160 --> 00:11:32,360 Speaker 1: bid process to another billionaire space company, Elon Musk. What 209 00:11:32,440 --> 00:11:36,520 Speaker 1: is this thing called? Which one Blue Origin no SpaceX. Yeah, 210 00:11:36,840 --> 00:11:39,360 Speaker 1: so he lost on the contract to SpaceX. And so 211 00:11:39,440 --> 00:11:43,200 Speaker 1: he went to Maria Cantwell Democrat I'm standard a liberal 212 00:11:43,240 --> 00:11:47,400 Speaker 1: Democrat from his home state of Washington, and she said, 213 00:11:47,440 --> 00:11:50,560 Speaker 1: you know what, one ten billion dollar contract not enough. 214 00:11:50,720 --> 00:11:53,440 Speaker 1: Let's put another one in so we can make sure 215 00:11:53,720 --> 00:11:57,440 Speaker 1: that Blue Origin ultimately gets these dollars. Now listen, just 216 00:11:57,480 --> 00:11:59,880 Speaker 1: to be clear, it's not like the money is earmarked 217 00:11:59,880 --> 00:12:03,960 Speaker 1: for but there are only so many billionaire space companies 218 00:12:04,000 --> 00:12:06,880 Speaker 1: that could win this gut there potentially, though it's very 219 00:12:06,880 --> 00:12:10,360 Speaker 1: clear what happened here ultimately. So the update is that 220 00:12:10,400 --> 00:12:15,080 Speaker 1: funding went through bipartisan basis last week, very few objections raised. 221 00:12:15,120 --> 00:12:16,959 Speaker 1: We can throw this hit here on the screen. Another 222 00:12:16,960 --> 00:12:18,959 Speaker 1: great friend of the show, Jeff Stein says, in case 223 00:12:19,000 --> 00:12:21,400 Speaker 1: you missed it, the Senate tonight approved a bill with 224 00:12:21,760 --> 00:12:26,640 Speaker 1: overwhelming bipartisan support that included ten billion dollars in lunar 225 00:12:26,720 --> 00:12:31,040 Speaker 1: lander contracts, likely to go to Jeff Bezos's Blue Origin company. 226 00:12:31,080 --> 00:12:33,640 Speaker 1: Of course, we also covered that he'll be flying aboard 227 00:12:33,679 --> 00:12:36,040 Speaker 1: one of these Blue Origins. I think it's fake space 228 00:12:36,080 --> 00:12:38,640 Speaker 1: travel personally anyway, right because they are not going to 229 00:12:39,480 --> 00:12:42,600 Speaker 1: what is it, They're not going to orbital space. Yeah, 230 00:12:42,600 --> 00:12:46,280 Speaker 1: they're just technically going to like the lowest limit of space, 231 00:12:46,360 --> 00:12:48,760 Speaker 1: but anyway to lower Earth orbit. I think that should 232 00:12:48,760 --> 00:12:51,400 Speaker 1: be the limit, lower Earth orbit, that space. Anything else 233 00:12:51,440 --> 00:12:53,840 Speaker 1: is fake space. But the other piece of this though, 234 00:12:53,920 --> 00:12:55,400 Speaker 1: just to add one more thing and then I want 235 00:12:55,400 --> 00:12:59,440 Speaker 1: to hear your thoughts, is so Bernie Sanders probably partly 236 00:12:59,480 --> 00:13:01,680 Speaker 1: because of Grim's reporting, Like he caught wind of this. 237 00:13:01,760 --> 00:13:04,280 Speaker 1: He was tweeting about it. Warren Gunnell's they were going 238 00:13:04,280 --> 00:13:06,079 Speaker 1: after and they were saying absolutely no, we're not doing 239 00:13:06,120 --> 00:13:09,719 Speaker 1: a Bezos bailout. But in this story it says the 240 00:13:09,800 --> 00:13:12,959 Speaker 1: chip funding troubled some lawmaker center. Bernie Sanders for days 241 00:13:12,960 --> 00:13:14,960 Speaker 1: criticized the measure because the money did not come with 242 00:13:14,960 --> 00:13:18,160 Speaker 1: significant strings attached. He sought to prohibit companies from taking 243 00:13:18,160 --> 00:13:21,319 Speaker 1: federal aid to subsidize their manufacturing then purchasing backstock or 244 00:13:21,360 --> 00:13:23,960 Speaker 1: padding the news that it is pay. But he did 245 00:13:23,960 --> 00:13:27,680 Speaker 1: not prevail in pushing for his amendment, and he ultimately 246 00:13:27,720 --> 00:13:30,679 Speaker 1: did vote against the bill because he wasn't able to 247 00:13:30,679 --> 00:13:33,559 Speaker 1: get that amendment through that would have blocked this bailount. 248 00:13:33,679 --> 00:13:37,160 Speaker 1: So Bernie tried, but ultimately failed and did vote against 249 00:13:37,200 --> 00:13:40,720 Speaker 1: the bill, but otherwise overwhelming bipartisans. There's actually been a 250 00:13:40,760 --> 00:13:43,040 Speaker 1: fun coroller to this, just as a side I want 251 00:13:43,080 --> 00:13:44,680 Speaker 1: you guys to know, which is that it was brought 252 00:13:44,679 --> 00:13:48,000 Speaker 1: to my attention Senator John Cornyn tried to put in 253 00:13:48,320 --> 00:13:50,240 Speaker 1: a provision where we were going to give all this 254 00:13:50,360 --> 00:13:53,880 Speaker 1: money to semiconductor manufacture in America. He wanted to take 255 00:13:54,000 --> 00:13:57,000 Speaker 1: fair wage practices out of that so that they could 256 00:13:57,040 --> 00:14:00,200 Speaker 1: then pay they could not only take federal dollars, but 257 00:14:00,280 --> 00:14:03,720 Speaker 1: then they didn't have to pay a fair prevailing wage 258 00:14:03,960 --> 00:14:07,040 Speaker 1: to the workers. And actually, luckily eight Republicans did step 259 00:14:07,120 --> 00:14:10,040 Speaker 1: up and vote down that amendment, but my own home state, 260 00:14:10,160 --> 00:14:13,800 Speaker 1: Senator John Cornyn, thank you, John Cornyn for standing up 261 00:14:13,840 --> 00:14:16,360 Speaker 1: for the right of businesses to pay use federal dollars 262 00:14:16,400 --> 00:14:20,000 Speaker 1: and then not pay fair wages to workers access state 263 00:14:20,280 --> 00:14:22,720 Speaker 1: for their service. He's a number three Republican in the 264 00:14:22,800 --> 00:14:24,760 Speaker 1: entire set. I just want people to be aware of 265 00:14:24,840 --> 00:14:28,360 Speaker 1: just how uncouth and horrible these people are. But back 266 00:14:28,400 --> 00:14:31,160 Speaker 1: to Bezos, this is my favorite. Also, by the way, 267 00:14:31,160 --> 00:14:33,040 Speaker 1: it takes a lot of courage for Jeff to tweet 268 00:14:33,080 --> 00:14:37,680 Speaker 1: that because he technically works for Jeff Bezos prompts, dude. 269 00:14:38,320 --> 00:14:40,840 Speaker 1: Here's how the Post writes it. In a chamber often 270 00:14:41,000 --> 00:14:45,080 Speaker 1: rocked by partisan division, Democrats and Republicans found rare accord 271 00:14:45,400 --> 00:14:48,160 Speaker 1: over the sprawling measure known as the United States Innovation 272 00:14:48,200 --> 00:14:52,520 Speaker 1: and Competitioning as lawmakers warned that Washington riceding country's technological 273 00:14:52,600 --> 00:14:55,600 Speaker 1: leadership to one of its foremost geopolitical adversaries. All of 274 00:14:55,640 --> 00:14:57,400 Speaker 1: that is true, and if it was this was just 275 00:14:57,440 --> 00:15:00,360 Speaker 1: about semiconductors, I would say that the bill is one 276 00:15:00,480 --> 00:15:03,200 Speaker 1: third of what it should be. Let's give billions dollars more, 277 00:15:03,400 --> 00:15:06,760 Speaker 1: let's build it right here in the USA. But unfortunately, 278 00:15:07,080 --> 00:15:09,480 Speaker 1: well what did they do? They go and attach this 279 00:15:09,520 --> 00:15:14,560 Speaker 1: little Bezos bailout into the ten billion dollar authorization for 280 00:15:14,680 --> 00:15:18,800 Speaker 1: two lunar landing contracts, which would benefit Blue Origin and 281 00:15:18,840 --> 00:15:22,280 Speaker 1: then they have to say who also owns the Washington Post. Cantwell, 282 00:15:22,600 --> 00:15:27,760 Speaker 1: whose committee oversees NASA, spearheaded the spending as part of 283 00:15:27,760 --> 00:15:31,440 Speaker 1: that bipartisan amendment. Now, why is this even more important, 284 00:15:31,560 --> 00:15:33,560 Speaker 1: which is that this is the key part that actually 285 00:15:33,600 --> 00:15:36,680 Speaker 1: Ryan Grimm made. NASA has been asking for new money 286 00:15:37,000 --> 00:15:41,200 Speaker 1: for years, and so Maria Cantwell, the senator who oversees 287 00:15:41,320 --> 00:15:44,160 Speaker 1: NASA's budget, was not willing to provide a ten billion 288 00:15:44,200 --> 00:15:48,240 Speaker 1: dollar authorization to NASA. She was not willing to get 289 00:15:48,280 --> 00:15:50,920 Speaker 1: to the government agency who also used to land stuff 290 00:15:50,960 --> 00:15:54,280 Speaker 1: on the Moon. I don't know, it's been a while. Instead, 291 00:15:54,400 --> 00:15:56,920 Speaker 1: what does she do when Bezos needs a ten billion 292 00:15:56,920 --> 00:15:59,920 Speaker 1: dollar contract for lunar Lander. It's sales right through Congress, 293 00:16:00,240 --> 00:16:04,280 Speaker 1: bipartisan Okay, And now look, you know, holding the bill 294 00:16:04,360 --> 00:16:06,240 Speaker 1: up over this and all that. I don't know. There's 295 00:16:06,240 --> 00:16:08,880 Speaker 1: a lot of good stuff in the Frontier Act and more, 296 00:16:09,040 --> 00:16:13,520 Speaker 1: But this is just a disgusting display of Jeff Bezos, 297 00:16:13,680 --> 00:16:17,040 Speaker 1: who centers his company Amazon in Washington. He owns the 298 00:16:17,200 --> 00:16:19,280 Speaker 1: entire state of Washington. He's the richest man in the world, 299 00:16:19,520 --> 00:16:22,760 Speaker 1: owns the Washington Post, owns the all so many levers 300 00:16:22,760 --> 00:16:24,920 Speaker 1: of power in America. They just bought MGM Studios. I 301 00:16:24,920 --> 00:16:26,880 Speaker 1: think that's the last monologue I ever did over a 302 00:16:27,000 --> 00:16:30,080 Speaker 1: rising which is now he owns Hollywood because he didn't 303 00:16:30,080 --> 00:16:33,400 Speaker 1: own enough here in America and can use the Senator 304 00:16:33,400 --> 00:16:37,560 Speaker 1: for master from Washington in order to right in a 305 00:16:37,600 --> 00:16:42,200 Speaker 1: special provision directly for his company. That is just I mean, 306 00:16:42,240 --> 00:16:43,960 Speaker 1: I don't know what. I don't know how else to 307 00:16:43,960 --> 00:16:47,480 Speaker 1: describe corruption. It's brazen. I mean, it's it's truly brazen. 308 00:16:47,720 --> 00:16:51,040 Speaker 1: Like that's as close as you're gonna come in America 309 00:16:51,080 --> 00:16:55,000 Speaker 1: to that direct life exchange of cash. You know, you 310 00:16:55,080 --> 00:16:59,479 Speaker 1: got like one thin veneer layer where it doesn't technically 311 00:16:59,520 --> 00:17:02,320 Speaker 1: say in the law this is going to Jeff Bezos 312 00:17:02,400 --> 00:17:06,800 Speaker 1: Blue Origin, but it's one hundred percent clear to everyone 313 00:17:06,880 --> 00:17:09,520 Speaker 1: involved exactly what is happening. And in terms of the 314 00:17:09,560 --> 00:17:12,119 Speaker 1: bill overall, like I agree with you, I think the 315 00:17:12,160 --> 00:17:15,680 Speaker 1: semiconductor thing like supporting you know, I really I do support, 316 00:17:16,240 --> 00:17:19,119 Speaker 1: you know, bolstering manufacturing in this country so that we 317 00:17:19,200 --> 00:17:21,480 Speaker 1: have our own supply line. It's something that we saw 318 00:17:21,680 --> 00:17:24,680 Speaker 1: in coronavirus, like some of our critical ppe et cetera. 319 00:17:24,760 --> 00:17:26,920 Speaker 1: We were really kind of hosed in dependent on China 320 00:17:26,960 --> 00:17:29,880 Speaker 1: in particular about other countries as well. But if you're 321 00:17:29,960 --> 00:17:33,320 Speaker 1: gonna this, and this was Bernie's point, if you're going 322 00:17:33,359 --> 00:17:36,040 Speaker 1: to give money to these companies, then you need to 323 00:17:36,040 --> 00:17:39,320 Speaker 1: have some strings attacked, of course, like being able to 324 00:17:39,400 --> 00:17:43,720 Speaker 1: having good wage right, a good wage and union rights. 325 00:17:43,840 --> 00:17:46,359 Speaker 1: And by the way, you can't just use this money 326 00:17:46,359 --> 00:17:49,320 Speaker 1: to then like engage in these stock purchased buybacks and 327 00:17:49,520 --> 00:17:52,719 Speaker 1: bolster your executives pay and all of that stuff. And 328 00:17:52,760 --> 00:17:55,680 Speaker 1: that's what Burning was pushing for that and couldn't get 329 00:17:56,040 --> 00:17:59,639 Speaker 1: bipartisan agreement on like who's voting against that in the 330 00:17:59,760 --> 00:18:02,320 Speaker 1: fact to the matter is like everybody. I mean, it 331 00:18:02,359 --> 00:18:06,080 Speaker 1: was lost on both sides of the aisle just to 332 00:18:06,119 --> 00:18:09,520 Speaker 1: attach some basic strings to these provisions. So you have 333 00:18:09,600 --> 00:18:13,119 Speaker 1: the first level of like this disgusting bailout for the 334 00:18:13,240 --> 00:18:16,240 Speaker 1: richest man on the freaking planet, who, by the way, 335 00:18:16,240 --> 00:18:19,440 Speaker 1: we also learn pays next to zero some years, literal 336 00:18:19,520 --> 00:18:23,440 Speaker 1: zero negative. He actually took government money for his child, right, 337 00:18:23,760 --> 00:18:26,320 Speaker 1: nothing against his kids, But I'm sorry, I think they're 338 00:18:26,320 --> 00:18:30,800 Speaker 1: doing just fines unbelievable, unbelievable claiming a child tax credit 339 00:18:30,840 --> 00:18:33,840 Speaker 1: because he lost money, that lost money that anyway, So 340 00:18:34,200 --> 00:18:36,520 Speaker 1: he's paying zero in taxes, but he's getting a ten 341 00:18:36,560 --> 00:18:39,199 Speaker 1: billion dollar bailout. And then they can't even agree to 342 00:18:39,200 --> 00:18:43,119 Speaker 1: add some basic strings to this funding so that the 343 00:18:43,160 --> 00:18:45,800 Speaker 1: companies that are receiving it don't just use it for 344 00:18:46,000 --> 00:18:48,600 Speaker 1: stock buybacks and all that sort of stuff. Amazing always 345 00:18:48,600 --> 00:18:51,080 Speaker 1: be skept. Anytime you see these like five partisan packages, 346 00:18:51,119 --> 00:18:52,800 Speaker 1: you should start to get well. This is also a 347 00:18:52,880 --> 00:18:54,520 Speaker 1: very important point which I make here all the time. 348 00:18:54,560 --> 00:18:56,840 Speaker 1: Congress works plenty. It just works for the rich. And 349 00:18:56,840 --> 00:18:59,080 Speaker 1: you know people are, oh, Congress can't get anything done. Oh, 350 00:18:59,080 --> 00:19:03,040 Speaker 1: it gets a lot Done's defense budget. Whenever it comes 351 00:19:03,040 --> 00:19:07,080 Speaker 1: to the bezos paylout. Nope, no problems whatsoever. Whenever you 352 00:19:07,119 --> 00:19:08,720 Speaker 1: want to go and you want to look at the 353 00:19:08,720 --> 00:19:11,119 Speaker 1: specific authorizations and the things that are able to be 354 00:19:11,160 --> 00:19:14,240 Speaker 1: moved through Congress. This is the type of stuff Nate 355 00:19:14,320 --> 00:19:17,840 Speaker 1: show me one corporate media segment one which informed the 356 00:19:17,840 --> 00:19:20,439 Speaker 1: American people that this even happened. People don't even know. 357 00:19:20,720 --> 00:19:23,080 Speaker 1: You have no idea, and that's the thing which actually 358 00:19:23,119 --> 00:19:25,439 Speaker 1: bothers me even more. You want to talk about are 359 00:19:25,520 --> 00:19:29,200 Speaker 1: these congressional correspondents. I know many of them are running 360 00:19:29,240 --> 00:19:33,280 Speaker 1: around Capitol Hill right now. They'll stick a camera and 361 00:19:33,320 --> 00:19:36,240 Speaker 1: a mic in every senator's space and ask them about 362 00:19:36,280 --> 00:19:40,880 Speaker 1: the goddamn January sixth Commission. Enough about the goddamn commission. 363 00:19:40,880 --> 00:19:44,280 Speaker 1: What about the Bezos? Paylout? Ask Maria Cantwell, corner her 364 00:19:44,359 --> 00:19:46,320 Speaker 1: in the hall of the US Senate and say, why 365 00:19:46,359 --> 00:19:48,919 Speaker 1: are you bailing out the richest man in the world. 366 00:19:49,040 --> 00:19:50,760 Speaker 1: When you find me a journalist who will do that, 367 00:19:50,960 --> 00:19:54,520 Speaker 1: maybe the country will be one tenth a little bit better. Indeed, 368 00:19:55,160 --> 00:19:58,919 Speaker 1: there's some really interesting news coming out of Ohio, and 369 00:19:58,960 --> 00:20:01,080 Speaker 1: I want to read you a little bit from this story. 370 00:20:01,480 --> 00:20:04,320 Speaker 1: So Ohio is suing Google. This is according to the 371 00:20:04,320 --> 00:20:08,200 Speaker 1: Columbus Discasi's interesting seeking to declare the Internet company a 372 00:20:08,320 --> 00:20:11,480 Speaker 1: public utility. Now, Ohio is a state dominated by Republicans 373 00:20:11,560 --> 00:20:13,480 Speaker 1: at this point, and Mike is the governor and Mike 374 00:20:13,480 --> 00:20:16,920 Speaker 1: DeWine is the governor. And this comes from Ohio Attorney 375 00:20:16,920 --> 00:20:20,200 Speaker 1: General David Ghost. He's filed a lawsuit asking in court 376 00:20:20,280 --> 00:20:23,680 Speaker 1: to declare Google a public utility that should be regulated 377 00:20:23,760 --> 00:20:27,920 Speaker 1: as such. He said, Google uses its dominance of Internet 378 00:20:27,960 --> 00:20:32,119 Speaker 1: search to steer ohioans to Google's own products. That is 379 00:20:32,119 --> 00:20:36,439 Speaker 1: discriminatory and anti competitive. When you own the railroad, or 380 00:20:36,480 --> 00:20:39,360 Speaker 1: the electric company, or the cell phone tower. You have 381 00:20:39,440 --> 00:20:43,480 Speaker 1: to treat everyone the same and give everybody access. The 382 00:20:43,560 --> 00:20:47,280 Speaker 1: lawsuit is specifically seeking a legal declaration that Google is 383 00:20:47,320 --> 00:20:51,760 Speaker 1: a common carrier like phone, gas, and electric companies, which 384 00:20:51,880 --> 00:20:54,919 Speaker 1: must provided services to anyone willing to pay its fee 385 00:20:54,920 --> 00:20:57,200 Speaker 1: in lieu of a fee you host, argues in the complaint, 386 00:20:57,240 --> 00:21:01,400 Speaker 1: Google collects user data that's monetized primarily by some targeted advertisements. 387 00:21:02,080 --> 00:21:04,880 Speaker 1: This is the first time we've seen this particular approach. 388 00:21:05,200 --> 00:21:07,200 Speaker 1: So we had what is it like, thirty seven states 389 00:21:07,240 --> 00:21:10,920 Speaker 1: attorneys general who's signed huge number that signed on to 390 00:21:11,080 --> 00:21:14,360 Speaker 1: an anti trust lawsuit against Google alleging some of these 391 00:21:14,400 --> 00:21:17,600 Speaker 1: same things in terms of anti competitive behavior, But this 392 00:21:17,640 --> 00:21:20,080 Speaker 1: is a little bit of a different approach, arguing that 393 00:21:20,119 --> 00:21:23,240 Speaker 1: they should be treated and regulated as a public utility, 394 00:21:23,480 --> 00:21:26,879 Speaker 1: which is something that a lot of lefties have been saying. 395 00:21:27,119 --> 00:21:31,080 Speaker 1: But also there are a few Republicans, David us being 396 00:21:31,119 --> 00:21:33,440 Speaker 1: one of them, and then a couple people in Congress 397 00:21:33,480 --> 00:21:35,960 Speaker 1: too who have been moving in that direction as well. 398 00:21:36,040 --> 00:21:38,640 Speaker 1: So it is an interesting development. So the fascinating part 399 00:21:38,640 --> 00:21:41,120 Speaker 1: here is around the common carrier law, and this actually 400 00:21:41,160 --> 00:21:44,800 Speaker 1: is almost exactly like the original fights over the railroads 401 00:21:44,840 --> 00:21:47,399 Speaker 1: in the eighteen nineties and Rockefeller and all of that, 402 00:21:47,440 --> 00:21:50,159 Speaker 1: which is that what the lawsuit does seeks that legal 403 00:21:50,200 --> 00:21:53,760 Speaker 1: declaration that Google is a common carrier like a phone company, 404 00:21:53,760 --> 00:21:56,840 Speaker 1: gas company, electric company, therefore actually has to provide it 405 00:21:56,920 --> 00:21:59,440 Speaker 1: services anyone who is willing to pay a fee, which 406 00:21:59,440 --> 00:22:02,399 Speaker 1: would make it much more like a public utility. Now 407 00:22:02,800 --> 00:22:05,120 Speaker 1: by doing that, what they're going to say is that 408 00:22:05,200 --> 00:22:10,280 Speaker 1: the monetization over collected user data and by targeted advertisements 409 00:22:10,440 --> 00:22:15,679 Speaker 1: actually selectively goes over and circumvents common carrier law, and 410 00:22:15,720 --> 00:22:17,480 Speaker 1: it means that they're trying, they're making a whole lot 411 00:22:17,520 --> 00:22:21,160 Speaker 1: of money based upon some common carriers. So what they 412 00:22:21,359 --> 00:22:23,200 Speaker 1: he says then, is that they should not be able 413 00:22:23,200 --> 00:22:26,720 Speaker 1: to prioritize placement of its own product, services and websites. 414 00:22:27,040 --> 00:22:29,080 Speaker 1: I think this is really important because it sets the 415 00:22:29,080 --> 00:22:31,840 Speaker 1: ground not just for Google, but for places like Amazon. 416 00:22:32,040 --> 00:22:35,159 Speaker 1: For example, with Amazon, the big controversy is this private 417 00:22:35,200 --> 00:22:39,920 Speaker 1: label brands like Amazon Basics. Those have been around for century, 418 00:22:40,000 --> 00:22:42,080 Speaker 1: you know, for a century in any sort of like 419 00:22:42,760 --> 00:22:46,800 Speaker 1: market department store. But those were regional, right, right, So 420 00:22:46,920 --> 00:22:50,119 Speaker 1: Walmart has Walmart branded stuff, Macy's has Macy's branded stuff. 421 00:22:50,119 --> 00:22:52,480 Speaker 1: Nor From has North From branded stuff, but those are 422 00:22:52,560 --> 00:22:56,960 Speaker 1: regional monopolies and have regional footprints and physical locations. Amazon 423 00:22:57,119 --> 00:23:00,840 Speaker 1: owns so much of e commerce that the argument is 424 00:23:00,840 --> 00:23:03,800 Speaker 1: that they are using the private seller data of their 425 00:23:03,840 --> 00:23:07,239 Speaker 1: third party vendors, seeing what people buy a lot of, 426 00:23:07,480 --> 00:23:11,280 Speaker 1: and then creating their own. In principle, not necessarily anything 427 00:23:11,320 --> 00:23:14,440 Speaker 1: wrong with that, but at scale then it becomes the 428 00:23:15,119 --> 00:23:17,439 Speaker 1: question of are you a monopoly? Are you making it 429 00:23:17,480 --> 00:23:20,320 Speaker 1: so that you can price out your competitors? And Amazon 430 00:23:20,359 --> 00:23:22,639 Speaker 1: has claimed that it's part of their company policy that 431 00:23:22,720 --> 00:23:25,120 Speaker 1: they don't do such a thing, but guess what emails 432 00:23:25,160 --> 00:23:27,040 Speaker 1: revealed by the Wall Street Journal about two years ago, 433 00:23:27,080 --> 00:23:29,720 Speaker 1: so that that's complete BS And when Jeff Bezos was 434 00:23:29,720 --> 00:23:32,120 Speaker 1: asked about it before Congress, he had nothing to say. 435 00:23:32,320 --> 00:23:34,800 Speaker 1: Shocker right, He's like, oh, I have no idea, Well, 436 00:23:34,840 --> 00:23:37,720 Speaker 1: that's against our ethos whatever I mean. He barely even 437 00:23:37,760 --> 00:23:41,399 Speaker 1: knows what's happening inside of Amazon. But this type of law, 438 00:23:41,520 --> 00:23:44,919 Speaker 1: common carrier law, and more is an attack vector I 439 00:23:45,160 --> 00:23:48,119 Speaker 1: very much expect to see happen more in terms of 440 00:23:48,119 --> 00:23:50,800 Speaker 1: our national discourse, because there's been a lot of discussion. 441 00:23:51,280 --> 00:23:54,720 Speaker 1: Is Google monopoly? I don't know, And here's the question. 442 00:23:54,800 --> 00:23:57,520 Speaker 1: And actually got this from Andrew Yang when he was 443 00:23:57,560 --> 00:23:59,680 Speaker 1: on our show, our very first interview with ever Andrew Dang, 444 00:24:00,000 --> 00:24:02,680 Speaker 1: and he told us, nobody wants to use the third 445 00:24:02,720 --> 00:24:06,040 Speaker 1: best search engine. Nobody wants to use the fourth best Twitter, 446 00:24:06,280 --> 00:24:08,600 Speaker 1: and nobody the only whole reason of Facebook is that 447 00:24:08,600 --> 00:24:11,359 Speaker 1: everybody's on Facebook kind of agree with him. So what 448 00:24:11,400 --> 00:24:15,560 Speaker 1: we're saying is that the Internet naturally sex selects for monopolies. 449 00:24:15,880 --> 00:24:18,879 Speaker 1: If that is true, common carrier law is actually a 450 00:24:18,920 --> 00:24:22,560 Speaker 1: better way to describe this rather than breaking up these companies. 451 00:24:22,800 --> 00:24:25,919 Speaker 1: That is all really well said, and it does relate 452 00:24:26,000 --> 00:24:28,560 Speaker 1: back to these old battles of the past because there 453 00:24:28,600 --> 00:24:33,200 Speaker 1: are certain markets specific railroads, roads and good axacieties. Those 454 00:24:33,240 --> 00:24:37,800 Speaker 1: are the classic examples that lend themselves the sort of 455 00:24:37,880 --> 00:24:41,560 Speaker 1: natural state of the market is a monopoly or something 456 00:24:41,640 --> 00:24:44,640 Speaker 1: close to it, and so you could very much make 457 00:24:44,680 --> 00:24:50,520 Speaker 1: that case for Google search results for certain social media platforms, 458 00:24:50,880 --> 00:24:53,120 Speaker 1: because of course, the whole value of a social media 459 00:24:53,160 --> 00:24:55,439 Speaker 1: platform is that you can connect with all the people 460 00:24:55,520 --> 00:24:57,840 Speaker 1: you know in your circle and your friends, or the 461 00:24:57,840 --> 00:25:01,840 Speaker 1: people you like as journalists or celebrities, et cetera, et cetera, 462 00:25:01,920 --> 00:25:04,920 Speaker 1: that they're all in one place is what gives those 463 00:25:04,920 --> 00:25:08,840 Speaker 1: social media platforms all of their value. So I can 464 00:25:09,000 --> 00:25:12,760 Speaker 1: very easily see the case that those markets are sort 465 00:25:12,760 --> 00:25:16,720 Speaker 1: of natural monopolies or close to it, and so if 466 00:25:16,760 --> 00:25:18,919 Speaker 1: you accept that that is the case, this is the 467 00:25:18,960 --> 00:25:22,800 Speaker 1: almost only direction that you can ultimately go in, along 468 00:25:22,920 --> 00:25:24,840 Speaker 1: with the other thing that you have to layer on 469 00:25:24,920 --> 00:25:27,960 Speaker 1: top of. This is part of why places like I mean, 470 00:25:28,040 --> 00:25:31,239 Speaker 1: Amazon's the one that is really really disturbing because they 471 00:25:31,280 --> 00:25:35,960 Speaker 1: have such a large, vulnerable, blue collar workforce, so second 472 00:25:36,080 --> 00:25:38,760 Speaker 1: largest employer in the United States, right, So part of 473 00:25:38,800 --> 00:25:41,520 Speaker 1: what is so damaging about Amazon is that they have 474 00:25:41,640 --> 00:25:45,480 Speaker 1: so much power over the labor markets. So in addition 475 00:25:45,600 --> 00:25:49,200 Speaker 1: to the regulation as like a common carrier or public utility, 476 00:25:49,480 --> 00:25:51,959 Speaker 1: you have to layer on top of that really strong 477 00:25:52,280 --> 00:25:55,320 Speaker 1: provisions with regards to how employees are treated in all 478 00:25:55,359 --> 00:25:59,680 Speaker 1: of those labor market conditions as well. Since you're accepting 479 00:26:00,119 --> 00:26:03,800 Speaker 1: that this gigantic behemoth company is going to be an 480 00:26:03,880 --> 00:26:06,760 Speaker 1: integral part of the fabric of America, like if you're 481 00:26:06,800 --> 00:26:08,560 Speaker 1: not going to break them up, then you have to 482 00:26:08,600 --> 00:26:11,680 Speaker 1: regulate every aspect of what they're doing to make sure 483 00:26:11,680 --> 00:26:13,760 Speaker 1: that it's actually beneficial to the country and to the 484 00:26:13,800 --> 00:26:15,920 Speaker 1: workers there. No, you're right, and this is the most 485 00:26:15,920 --> 00:26:19,119 Speaker 1: important and a difficult part with Amazon. Amazon. I just 486 00:26:19,160 --> 00:26:21,680 Speaker 1: read this book by Brad Stone. I've read his first book. 487 00:26:21,720 --> 00:26:24,800 Speaker 1: I interviewed him on The Religned podcast as well. Amazon 488 00:26:24,960 --> 00:26:28,560 Speaker 1: is this like tentacles in everything. They're a retail company. 489 00:26:28,600 --> 00:26:31,399 Speaker 1: They're the most successful retail company probably in America outside 490 00:26:31,400 --> 00:26:34,920 Speaker 1: of Walmart. They are the most successful web hosting company 491 00:26:35,200 --> 00:26:38,359 Speaker 1: basically in the entire world. They are also now a 492 00:26:38,440 --> 00:26:42,960 Speaker 1: Hollywood studio. It's like everything interest. And they're also, by 493 00:26:43,000 --> 00:26:46,520 Speaker 1: the way, a subscription platform. In terms of Amazon Prime, 494 00:26:46,880 --> 00:26:50,680 Speaker 1: there are more people in America who have Amazon Prime 495 00:26:50,720 --> 00:26:54,120 Speaker 1: memberships than who put up Christmas trees. Amazon is literally 496 00:26:54,160 --> 00:26:57,040 Speaker 1: more American than Apple Pie, the backbone of the Internet 497 00:26:57,240 --> 00:27:01,400 Speaker 1: infrastructure with their cloud computing services actually their profitable exactly, 498 00:27:01,600 --> 00:27:04,360 Speaker 1: and which then subsidizes some of the other So it's 499 00:27:04,400 --> 00:27:07,960 Speaker 1: like it's very difficult to unravel all of these things. 500 00:27:08,000 --> 00:27:11,000 Speaker 1: And actually Amazon is just like Google. Google is Google Search, 501 00:27:11,240 --> 00:27:14,359 Speaker 1: which has YouTube, which we're literally on right now. Do 502 00:27:14,359 --> 00:27:16,960 Speaker 1: you guys want to know something crazy? YouTube made more 503 00:27:17,000 --> 00:27:19,960 Speaker 1: money than Netflix last year. Wow, And they didn't have 504 00:27:20,000 --> 00:27:22,520 Speaker 1: to pay a dime and original content we're out here 505 00:27:22,600 --> 00:27:26,679 Speaker 1: slaving away for free. We're uploading all of this to 506 00:27:26,880 --> 00:27:29,440 Speaker 1: YouTube so people can watch it, which is kind of 507 00:27:29,520 --> 00:27:31,080 Speaker 1: nuts when you start to think about it. I mean, 508 00:27:31,080 --> 00:27:33,560 Speaker 1: it's a brilliant model. No, I mean, just listen. It's 509 00:27:33,600 --> 00:27:36,800 Speaker 1: a cruel platform. But it's like Google, then you got YouTube, 510 00:27:37,000 --> 00:27:40,720 Speaker 1: and then you've got YouTube's a fifteen billion dollar company 511 00:27:40,720 --> 00:27:43,560 Speaker 1: on its own, and then you've got all sorts of 512 00:27:43,600 --> 00:27:48,720 Speaker 1: other extraneous projects Gmail, Google, Google, Chrome except which all 513 00:27:48,840 --> 00:27:51,919 Speaker 1: become vertically integrated. And it's like I said, maybe that 514 00:27:52,040 --> 00:27:54,520 Speaker 1: is just how the Internet's gonna work. Maybe I actually 515 00:27:54,880 --> 00:27:58,560 Speaker 1: accept that winner take all system, zero marginal cost businesses. 516 00:27:58,800 --> 00:28:01,480 Speaker 1: I understand. But if that's the case, the public has 517 00:28:01,560 --> 00:28:03,800 Speaker 1: started having a chance. I really think that's where it 518 00:28:03,800 --> 00:28:09,240 Speaker 1: all comes down to transparency, regulation, equal access. Equal access 519 00:28:09,280 --> 00:28:12,800 Speaker 1: is a huge part too, and labor market conditions that 520 00:28:12,880 --> 00:28:16,800 Speaker 1: allow for our unionization, fair living wages so that the 521 00:28:16,840 --> 00:28:19,760 Speaker 1: workers at these companies are able to make a living 522 00:28:19,800 --> 00:28:22,439 Speaker 1: for themselves and to feed their families and lives that 523 00:28:22,520 --> 00:28:26,600 Speaker 1: are relatively dignified. Yeah, you got some big UFO news 524 00:28:26,600 --> 00:28:28,240 Speaker 1: for us. It's not that big, but you know we 525 00:28:28,320 --> 00:28:32,160 Speaker 1: cover it when way to bill it listen. This is important. 526 00:28:32,240 --> 00:28:34,320 Speaker 1: It's important to my heart, it's important to the hearts 527 00:28:34,359 --> 00:28:37,120 Speaker 1: of many, at least according to this new poll let's 528 00:28:37,160 --> 00:28:39,480 Speaker 1: put it up there on the screen from Newsweek, which 529 00:28:39,520 --> 00:28:42,920 Speaker 1: is that forty three percent of Americans are now more 530 00:28:43,000 --> 00:28:47,719 Speaker 1: interested in UFOs after the Pentagon report in the New 531 00:28:47,800 --> 00:28:51,600 Speaker 1: York Times and more. Now, I actually think there's something 532 00:28:51,640 --> 00:28:54,240 Speaker 1: really fascinating about this, which is that you'll recall I 533 00:28:54,280 --> 00:28:57,880 Speaker 1: did that monologue earlier last week which was about UFOs, 534 00:28:57,960 --> 00:29:00,320 Speaker 1: and it was about how the Pentagon is basically trying 535 00:29:00,360 --> 00:29:02,200 Speaker 1: to cover up the fact that they have no idea 536 00:29:02,200 --> 00:29:03,760 Speaker 1: what the hell is going on. They got the New 537 00:29:03,840 --> 00:29:07,080 Speaker 1: York Times, the CNN, Washington Post to write headlines which say, 538 00:29:07,720 --> 00:29:10,040 Speaker 1: you know, government finds no evidence of aliens, but then 539 00:29:10,120 --> 00:29:12,440 Speaker 1: in the next paragraph it's like, and no evidence that 540 00:29:12,480 --> 00:29:15,560 Speaker 1: it's not. They have nothing that they can explain. And 541 00:29:15,600 --> 00:29:19,320 Speaker 1: even more importantly, they actually debunk the weather balloon explanation, 542 00:29:19,560 --> 00:29:22,880 Speaker 1: which has been put forward by a lot of different debunkers. 543 00:29:22,920 --> 00:29:25,959 Speaker 1: They specifically say that that is not the case at 544 00:29:26,040 --> 00:29:28,440 Speaker 1: least in some of the instances that they have recorded. 545 00:29:28,680 --> 00:29:32,520 Speaker 1: That's really really important. So despite the fact that the 546 00:29:32,560 --> 00:29:36,480 Speaker 1: Pentagon wanted to manufacture consent, wanted to try and gaslight 547 00:29:36,520 --> 00:29:39,560 Speaker 1: the American people into thinking this is possibly Chinese or 548 00:29:39,600 --> 00:29:42,280 Speaker 1: Russian drones, despite the fact that there is zero evidence 549 00:29:42,280 --> 00:29:45,440 Speaker 1: for that claim, and also wants to bias them away 550 00:29:45,440 --> 00:29:49,000 Speaker 1: from the extraterrestrial hypothesis, which is also just a hypothesis. 551 00:29:49,040 --> 00:29:51,760 Speaker 1: I'm not saying there's any evidence to support that claim. 552 00:29:52,000 --> 00:29:56,560 Speaker 1: All of that comes together but with tremendous public interests, 553 00:29:56,680 --> 00:29:59,000 Speaker 1: and I think this is very inspiring, which is that 554 00:29:59,200 --> 00:30:02,640 Speaker 1: for the first time in decades, you actually see public 555 00:30:02,800 --> 00:30:05,720 Speaker 1: calls in order to look and be for the government 556 00:30:05,760 --> 00:30:09,200 Speaker 1: to quote be more open and honest in the future, 557 00:30:09,600 --> 00:30:12,200 Speaker 1: and that they want the government to be more forthright 558 00:30:12,240 --> 00:30:15,960 Speaker 1: with the admission of the existence and authenticity of the footage. 559 00:30:16,040 --> 00:30:18,640 Speaker 1: Now this matters because the only reason we know any 560 00:30:18,640 --> 00:30:21,520 Speaker 1: of the stuff is because of great journalists like Jeremy 561 00:30:21,520 --> 00:30:26,280 Speaker 1: Corbel and George Knapp who have been attacking this for years, 562 00:30:26,640 --> 00:30:30,360 Speaker 1: and because public interests led Senator Harry Reid and others 563 00:30:30,560 --> 00:30:33,160 Speaker 1: in order to force the Pentagon in order to create 564 00:30:33,200 --> 00:30:36,680 Speaker 1: programs which created the disclosure all in the first place. 565 00:30:36,920 --> 00:30:40,960 Speaker 1: This is a bottom up campaign against the military industrial complex. 566 00:30:41,080 --> 00:30:43,200 Speaker 1: They don't want it to be something which they don't 567 00:30:43,240 --> 00:30:46,200 Speaker 1: have a conventional explanation for. I keep trying to tell 568 00:30:46,200 --> 00:30:49,320 Speaker 1: people this, No, they know exactly how to manipulate the public. 569 00:30:50,400 --> 00:30:52,880 Speaker 1: Everybody keeps saying, oh, this is all a ploy for 570 00:30:52,960 --> 00:30:55,680 Speaker 1: more funding. And here's the thing, because I actually cover 571 00:30:55,760 --> 00:30:58,320 Speaker 1: Congress and cover the Pentagon. You know, when they would 572 00:30:58,320 --> 00:31:00,479 Speaker 1: have had a psyop in twenty thirteen, when we had 573 00:31:00,480 --> 00:31:04,800 Speaker 1: sequestration and whenever we had massive defense cuts all across 574 00:31:04,840 --> 00:31:07,080 Speaker 1: the board, that would have been the time for the syop, 575 00:31:07,320 --> 00:31:10,080 Speaker 1: not during a time of record defense stunning. Well, Biden 576 00:31:10,200 --> 00:31:14,080 Speaker 1: just passed the largest defense budget in history, right right, Yeah, 577 00:31:14,120 --> 00:31:17,640 Speaker 1: which was billed by the media as like clows the 578 00:31:17,720 --> 00:31:20,240 Speaker 1: rate of growth from Trump. It's like no, but it's 579 00:31:20,280 --> 00:31:24,320 Speaker 1: still went, it's still increased, it's huge, the largest one. Yeah. Well, 580 00:31:24,320 --> 00:31:26,600 Speaker 1: and you made a great point too, which was that, look, 581 00:31:26,640 --> 00:31:29,640 Speaker 1: if you actually wanted were in it for the funding 582 00:31:29,680 --> 00:31:33,080 Speaker 1: for the Pentagon, the China or Russia. The easiest way 583 00:31:33,120 --> 00:31:34,600 Speaker 1: to do it that they got the media to write 584 00:31:34,680 --> 00:31:37,560 Speaker 1: up that's a far more profitable direction to go in, 585 00:31:37,560 --> 00:31:40,239 Speaker 1: because what do you do what contractor you getting if 586 00:31:40,680 --> 00:31:44,360 Speaker 1: it's you know, really does is extraterrestrial in origin. There's 587 00:31:44,400 --> 00:31:47,640 Speaker 1: an interesting number here which I find like I get 588 00:31:47,640 --> 00:31:49,600 Speaker 1: a little bit of hope from. So it says this 589 00:31:49,680 --> 00:31:53,440 Speaker 1: survey found that forty four percent of Americans reported trusting 590 00:31:53,480 --> 00:31:56,720 Speaker 1: the government to be more open and honest in the future. 591 00:31:57,160 --> 00:31:59,760 Speaker 1: And they pause that it's possible the government's forthright admission 592 00:31:59,800 --> 00:32:02,520 Speaker 1: of the existence and authenticity of some of this footage 593 00:32:02,760 --> 00:32:06,600 Speaker 1: is bolstering the population's trust. So there's a lot of 594 00:32:06,880 --> 00:32:10,800 Speaker 1: handbringing which is justifiable about how the public doesn't trust 595 00:32:10,880 --> 00:32:14,200 Speaker 1: any of our institutions anymore. Right, Like, you go down 596 00:32:14,200 --> 00:32:18,440 Speaker 1: the list Congress, the government, writ Laura, the Democrats, the Republicans, 597 00:32:18,440 --> 00:32:21,600 Speaker 1: the media, et cetera, et cetera, et cetera, and look 598 00:32:21,680 --> 00:32:23,840 Speaker 1: at what happened here. They release a little bit of 599 00:32:23,840 --> 00:32:27,600 Speaker 1: footage they actually own up to like ten percent or 600 00:32:27,840 --> 00:32:31,040 Speaker 1: some small percent of what they know two percent for 601 00:32:31,120 --> 00:32:33,680 Speaker 1: we don't know, right, some percent of what they know. 602 00:32:34,120 --> 00:32:37,400 Speaker 1: And even just that makes made a significant chunk of 603 00:32:37,440 --> 00:32:39,960 Speaker 1: Americans go like, oh, I actually feel a little bit 604 00:32:39,960 --> 00:32:43,640 Speaker 1: better about the government right now. This isn't rocket science 605 00:32:43,720 --> 00:32:47,240 Speaker 1: to get people to trust you again, Just don't be 606 00:32:47,440 --> 00:32:50,040 Speaker 1: shitty and lie to people. Like just a little bit 607 00:32:50,040 --> 00:32:54,600 Speaker 1: of transparency and accountability would help to rebuild that faith 608 00:32:54,640 --> 00:32:57,760 Speaker 1: that these institutions aren't just routinely lying to you and 609 00:32:57,880 --> 00:33:00,760 Speaker 1: screwing you over and over again. It's not. And look, 610 00:33:00,800 --> 00:33:03,240 Speaker 1: I know it's cartoonish and child is how I talk 611 00:33:03,240 --> 00:33:06,560 Speaker 1: about UFOs because it's fascinating. But it does keep with 612 00:33:06,600 --> 00:33:08,800 Speaker 1: the very core ethos of the show, which is that 613 00:33:08,960 --> 00:33:10,840 Speaker 1: powerful people are trying to hide a lot of different 614 00:33:10,840 --> 00:33:12,520 Speaker 1: stuff from us. And what did I say also about 615 00:33:12,520 --> 00:33:15,320 Speaker 1: the Lableee hypothesis, which is that now all of a sudden, 616 00:33:15,320 --> 00:33:18,280 Speaker 1: they're like intelligence and all this suggests I don't want 617 00:33:18,280 --> 00:33:23,280 Speaker 1: to hear some intelligence republish all the documents if the 618 00:33:23,360 --> 00:33:28,080 Speaker 1: Lablie hypothesis is true, I want to see literally all 619 00:33:28,120 --> 00:33:31,840 Speaker 1: of even the most declassified or even the most classified 620 00:33:32,360 --> 00:33:35,640 Speaker 1: cables and other stuff flying back and forth between Washington, 621 00:33:35,840 --> 00:33:40,240 Speaker 1: because the public deserves to know. Same thing with the UFOs. Look, 622 00:33:40,360 --> 00:33:42,440 Speaker 1: we already know about the cover ups of Project Blue 623 00:33:42,440 --> 00:33:45,520 Speaker 1: Book and all that stuff for many years, but around 624 00:33:45,560 --> 00:33:48,959 Speaker 1: the current developments, we don't really know that much. What 625 00:33:49,000 --> 00:33:51,280 Speaker 1: we do know is largely from service members who are 626 00:33:51,280 --> 00:33:55,240 Speaker 1: in the service who are leaking information to people who 627 00:33:55,400 --> 00:33:59,480 Speaker 1: are outside journalists. That is an untenable situation. The government 628 00:33:59,480 --> 00:34:03,360 Speaker 1: needs to come clean. They need to publish everything that 629 00:34:03,360 --> 00:34:06,440 Speaker 1: they possibly know on this subject. Otherwise there's going to 630 00:34:06,480 --> 00:34:09,040 Speaker 1: be zero trust, and there should be. I don't trust them. 631 00:34:09,120 --> 00:34:11,839 Speaker 1: I don't trust the report. I especially don't trust now 632 00:34:11,920 --> 00:34:14,200 Speaker 1: what they're saying here to the journalists because I'm seeing 633 00:34:14,239 --> 00:34:17,120 Speaker 1: how easily that they've all been spun. We need so 634 00:34:17,280 --> 00:34:20,080 Speaker 1: much more information on this, Finela. Yeah, I also want 635 00:34:20,080 --> 00:34:22,319 Speaker 1: to know who really killed Kennedy. So while we're at 636 00:34:22,320 --> 00:34:25,719 Speaker 1: it too, I remember Trump. Trump, remember was going to 637 00:34:25,800 --> 00:34:28,759 Speaker 1: declassiz all those documents and he didn't do it, so, 638 00:34:29,080 --> 00:34:31,200 Speaker 1: you know, and he also never declassified the UFO stuff, 639 00:34:31,239 --> 00:34:33,479 Speaker 1: So that always makes me think about total who really 640 00:34:33,560 --> 00:34:36,560 Speaker 1: runs the government? Total failure? Anyway, Christal, what are your 641 00:34:36,560 --> 00:34:38,880 Speaker 1: breaking points today? Well, as you all know, I'm a 642 00:34:38,880 --> 00:34:41,640 Speaker 1: strong believer in ending the war on drugs. Prohibition has 643 00:34:41,680 --> 00:34:45,080 Speaker 1: done nothing but in misery, millions, empower murders, criminals, and 644 00:34:45,160 --> 00:34:48,479 Speaker 1: destabilize and entire section of the globe. Even the goal 645 00:34:48,520 --> 00:34:51,680 Speaker 1: it's opposed to achieve a reducing addiction and overdose death 646 00:34:51,920 --> 00:34:55,520 Speaker 1: has been a dramatic failure. We have been interdicting heroin 647 00:34:55,560 --> 00:34:57,480 Speaker 1: and trying to cut off the supply of a myriad 648 00:34:57,520 --> 00:35:01,400 Speaker 1: of drugs for one hundred years, yet last year was 649 00:35:01,440 --> 00:35:05,719 Speaker 1: the worst in history for overdose stats. Clearly, our long 650 00:35:05,760 --> 00:35:09,480 Speaker 1: standing approach is a complete failure. Yeah, my friend Sager 651 00:35:09,600 --> 00:35:12,160 Speaker 1: and others raise a concern about drug legalization that I 652 00:35:12,160 --> 00:35:14,720 Speaker 1: actually think is really legitimate. What is the end result 653 00:35:14,800 --> 00:35:17,560 Speaker 1: going to be when legal weed and other substances get 654 00:35:17,560 --> 00:35:19,759 Speaker 1: in the hands of big pharma, big tobacco, and other 655 00:35:19,840 --> 00:35:23,680 Speaker 1: corp actors who are chomping at the bit to profit 656 00:35:23,840 --> 00:35:27,560 Speaker 1: off of substance use and abuse. After all, these corporate actors, 657 00:35:27,640 --> 00:35:30,960 Speaker 1: they've got no incentive to foster a moderate, responsible culture 658 00:35:31,000 --> 00:35:34,160 Speaker 1: around drug use. The more desperate and addicted people become, 659 00:35:34,520 --> 00:35:37,920 Speaker 1: the more money those bad actors stand to make. And 660 00:35:37,960 --> 00:35:39,640 Speaker 1: the truth is, we already know what this looks like. 661 00:35:39,719 --> 00:35:42,760 Speaker 1: Perdue Pharma, owned by the Sackler family, they pushed oxy 662 00:35:42,880 --> 00:35:46,120 Speaker 1: on the nation, concocting an entire, well funded and organized 663 00:35:46,120 --> 00:35:49,080 Speaker 1: scheme to addict users and push their pills on people 664 00:35:49,120 --> 00:35:51,680 Speaker 1: who did not want or need them. When those prescriptions 665 00:35:51,719 --> 00:35:54,520 Speaker 1: ran out, users often turned to street heroin or worse, 666 00:35:54,600 --> 00:35:58,279 Speaker 1: fentanyl in an unregulated market with the various actors and 667 00:35:58,360 --> 00:36:02,280 Speaker 1: no help. When a habit turned into a disaster. Now 668 00:36:02,400 --> 00:36:05,000 Speaker 1: this future is frankly of little risk with weed because 669 00:36:05,040 --> 00:36:09,000 Speaker 1: it's not particularly addictive. But legalization efforts underway now as 670 00:36:09,040 --> 00:36:12,080 Speaker 1: we move away from a war on drugs mentality, hopefully 671 00:36:12,400 --> 00:36:14,680 Speaker 1: are a chance to blaze the trail for what future 672 00:36:14,760 --> 00:36:18,160 Speaker 1: drug legalization efforts might look like. Do we want to 673 00:36:18,160 --> 00:36:21,680 Speaker 1: blaze that trail to another healthscape of endless capitalists exploitation, 674 00:36:22,080 --> 00:36:25,120 Speaker 1: or might there be another way, a chance to demonstrate 675 00:36:25,160 --> 00:36:28,640 Speaker 1: an alternative way of thinking about markets and about workplaces. 676 00:36:29,040 --> 00:36:31,000 Speaker 1: Now a lot of states seem to at least pay 677 00:36:31,040 --> 00:36:33,359 Speaker 1: lip service to righting the wrongs of decades of mass 678 00:36:33,360 --> 00:36:37,520 Speaker 1: incarceration that have criminalized poverty and blackness, have included equity 679 00:36:37,560 --> 00:36:41,160 Speaker 1: provisions in their marijuana legalization laws. Generally, these are written 680 00:36:41,200 --> 00:36:44,279 Speaker 1: so as to encourage black business ownership, but anyone who 681 00:36:44,320 --> 00:36:47,239 Speaker 1: understands the limits of identity politics alone can see the 682 00:36:47,239 --> 00:36:51,560 Speaker 1: limitations in this approach. It is still unmitigated American style 683 00:36:51,760 --> 00:36:54,920 Speaker 1: late stage capitalism, even if you do successfully get some 684 00:36:55,080 --> 00:36:58,279 Speaker 1: diverse ownership into the mix. But as we speak, the 685 00:36:58,320 --> 00:37:02,160 Speaker 1: state of Rhode Island is considering a far more revolutionary approach. 686 00:37:02,440 --> 00:37:05,960 Speaker 1: According to the intercept, Rhode Island's Yes Week Cannabis Coalition 687 00:37:06,080 --> 00:37:09,280 Speaker 1: is pushing a legalization bill that would include those equity 688 00:37:09,600 --> 00:37:12,520 Speaker 1: provisions similar to those present in New York States legalization, 689 00:37:13,120 --> 00:37:16,600 Speaker 1: but they would add in a push for workplace democracy 690 00:37:16,680 --> 00:37:18,960 Speaker 1: that could actually be a real game changer. So the 691 00:37:19,000 --> 00:37:23,480 Speaker 1: provisions they're pushing would address concerns organized labor that marijuana 692 00:37:23,520 --> 00:37:27,160 Speaker 1: workers be able to organize. But even more significant here, 693 00:37:27,400 --> 00:37:31,960 Speaker 1: they would prioritize marijuana licenses for worker owned co ops 694 00:37:32,320 --> 00:37:34,960 Speaker 1: so that workers themselves would be in position to profit 695 00:37:35,000 --> 00:37:38,040 Speaker 1: from this new market. That would be truly groundbreaking. So 696 00:37:38,120 --> 00:37:40,239 Speaker 1: co ops they barely have a toe hold in the 697 00:37:40,320 --> 00:37:44,480 Speaker 1: rapacious capital markets of America, But there are some signs 698 00:37:44,680 --> 00:37:48,600 Speaker 1: that increasing dissatisfaction with our current profit above everything approach 699 00:37:48,760 --> 00:37:53,120 Speaker 1: is leading to more experimentation with workplace democracy and worker ownership. 700 00:37:53,480 --> 00:37:56,879 Speaker 1: So in New York, workers recently launched a new Uber 701 00:37:56,960 --> 00:37:59,400 Speaker 1: style ride sharing app under a co op model and 702 00:37:59,480 --> 00:38:02,560 Speaker 1: had thousands of drivers signed up to participate. Co Op 703 00:38:02,640 --> 00:38:04,920 Speaker 1: ride gives all of its drivers a vote in company 704 00:38:04,960 --> 00:38:08,000 Speaker 1: decision making and a share of the company profits. After 705 00:38:08,080 --> 00:38:11,160 Speaker 1: a fifteen percent commission to cover operating expenses, the rest 706 00:38:11,160 --> 00:38:13,360 Speaker 1: of the profits are shared with the drivers. One of 707 00:38:13,400 --> 00:38:15,600 Speaker 1: the drivers who's involved in the effort explained that he's 708 00:38:15,600 --> 00:38:17,480 Speaker 1: just looking for a fair deal and a reflection of 709 00:38:17,520 --> 00:38:20,480 Speaker 1: the thousands of dollars in costs that drivers incur in 710 00:38:20,560 --> 00:38:23,920 Speaker 1: wear and tear on their vehicles. Drivers laves are quote 711 00:38:24,120 --> 00:38:27,839 Speaker 1: in the hands of Uber and Lyft. Michael Goowuo told Gizmoto, 712 00:38:28,360 --> 00:38:31,320 Speaker 1: this is our time to make money for our own selves. 713 00:38:31,400 --> 00:38:35,120 Speaker 1: Instead of enriching those giant companies, we made them giant 714 00:38:35,120 --> 00:38:37,920 Speaker 1: by the way drivers invested their money in big cars 715 00:38:37,960 --> 00:38:40,600 Speaker 1: eighty or ninety thousand dollars just to drive for them, 716 00:38:40,680 --> 00:38:44,160 Speaker 1: and they don't care. A recent documentary by Ji sel 717 00:38:44,239 --> 00:38:46,680 Speaker 1: Nor of the Real News Network documented the success of 718 00:38:46,760 --> 00:38:50,640 Speaker 1: co ops during coronavirus. Workers rarely get an adequate share 719 00:38:50,680 --> 00:38:53,880 Speaker 1: of the welfare labor creates. In twenty twenty, the median 720 00:38:53,960 --> 00:38:57,560 Speaker 1: salary Amazon was under thirty thousand dollars, while its founder 721 00:38:57,640 --> 00:39:01,200 Speaker 1: Jeff Bezos made hundreds of times that over thirteen million 722 00:39:01,280 --> 00:39:05,319 Speaker 1: dollars every hour, while seemingly ignoring how these issues may 723 00:39:05,320 --> 00:39:08,239 Speaker 1: be connected. Some have decried a shortage of people who 724 00:39:08,239 --> 00:39:10,960 Speaker 1: want to work in frontline and service sectors, but a 725 00:39:11,000 --> 00:39:14,600 Speaker 1: growing movement is putting this narrative on its head. We 726 00:39:14,800 --> 00:39:18,000 Speaker 1: work as well as own this company, and we designed 727 00:39:18,000 --> 00:39:20,440 Speaker 1: it to what would work for us. What would make 728 00:39:20,480 --> 00:39:22,960 Speaker 1: it not feel like a job when we come into 729 00:39:23,000 --> 00:39:26,640 Speaker 1: this environment, What makes it feel like more of just 730 00:39:27,160 --> 00:39:30,280 Speaker 1: being around your friends and getting a job done versus 731 00:39:30,320 --> 00:39:33,400 Speaker 1: actually being at a job with somebody ruling and watching 732 00:39:33,440 --> 00:39:36,520 Speaker 1: over you. Under the radar, the small but growing sector 733 00:39:36,560 --> 00:39:40,200 Speaker 1: of worker run co ops part of the larger cooperative ecosystem, 734 00:39:40,560 --> 00:39:44,160 Speaker 1: is demonstrating that you don't need bosses. Workers can be 735 00:39:44,239 --> 00:39:49,640 Speaker 1: successful if granted the necessary power and resources. Now, the 736 00:39:49,680 --> 00:39:51,400 Speaker 1: link to that full dock is in the descriptions, and 737 00:39:51,440 --> 00:39:53,839 Speaker 1: make sure to check out the great work Max Alvarez 738 00:39:53,960 --> 00:39:56,400 Speaker 1: and Noor and others are doing over there at the 739 00:39:56,400 --> 00:40:00,040 Speaker 1: Real News Network. Now. Rhode Island, if they adopt a 740 00:40:00,040 --> 00:40:02,960 Speaker 1: co op approach to weed legalization, it will represent a 741 00:40:03,120 --> 00:40:05,880 Speaker 1: very small step towards a different way of doing business 742 00:40:05,880 --> 00:40:07,719 Speaker 1: and really a different set of values than the ones 743 00:40:07,760 --> 00:40:10,399 Speaker 1: that have dominated in America for decades. A co op 744 00:40:10,440 --> 00:40:13,600 Speaker 1: sector in Rhode Island could compete against the traditional capital 745 00:40:13,640 --> 00:40:15,399 Speaker 1: sector and we could all see what the results are 746 00:40:15,400 --> 00:40:18,319 Speaker 1: in real time. This type of small step leading to 747 00:40:18,400 --> 00:40:21,680 Speaker 1: large changes is far from unprecedented. A law in Italy 748 00:40:21,760 --> 00:40:25,000 Speaker 1: actually provides unemployed workers with capital to start co ops, 749 00:40:25,160 --> 00:40:27,640 Speaker 1: and that has led to a huge concentration of worker 750 00:40:27,680 --> 00:40:30,640 Speaker 1: owned co ops in that country, In particular in the 751 00:40:30,680 --> 00:40:34,120 Speaker 1: Amelia Romana region of that country, thirty percent of the 752 00:40:34,160 --> 00:40:37,680 Speaker 1: businesses in that region are worker owned co ops. It 753 00:40:37,800 --> 00:40:41,399 Speaker 1: also happens to be one of the most prosperous areas 754 00:40:41,440 --> 00:40:43,640 Speaker 1: in Italy, and they weather the two thousand and eight 755 00:40:43,680 --> 00:40:47,200 Speaker 1: financial crisis better than anywhere else in that country. None 756 00:40:47,239 --> 00:40:49,400 Speaker 1: of that happened by accident. Of course, the Italian government 757 00:40:49,440 --> 00:40:52,279 Speaker 1: has support for co ops in their constitution, and they've 758 00:40:52,280 --> 00:40:55,239 Speaker 1: set up a number of institutions and incentives to help 759 00:40:55,280 --> 00:40:59,440 Speaker 1: these worker owned businesses be able to compete. In Rhode Island, 760 00:40:59,520 --> 00:41:02,320 Speaker 1: there's a small sliver of a chance to try something 761 00:41:02,520 --> 00:41:05,520 Speaker 1: similar in the marijuana market and see what happens. At 762 00:41:05,520 --> 00:41:08,840 Speaker 1: a time when, as we've documented here, workers across the 763 00:41:08,880 --> 00:41:12,360 Speaker 1: board are reassessing and shifting their habits, looking for meaning, 764 00:41:12,440 --> 00:41:15,720 Speaker 1: looking for control, this type of thinking and policy push 765 00:41:15,920 --> 00:41:18,120 Speaker 1: is exactly the direction that we should be heading in. 766 00:41:18,560 --> 00:41:21,600 Speaker 1: If we are opening up new markets, why not run 767 00:41:21,640 --> 00:41:24,840 Speaker 1: those markets in a new way and Sager. This is 768 00:41:24,880 --> 00:41:26,279 Speaker 1: one of the things that you've challenged me on that 769 00:41:26,320 --> 00:41:29,600 Speaker 1: I honestly haven't really had an answer for because it's like, yeah, 770 00:41:29,640 --> 00:41:31,799 Speaker 1: I mean, it's like, it's very I have felt very 771 00:41:31,840 --> 00:41:34,200 Speaker 1: fatalistic about It's like, well, as a capitalist society, so 772 00:41:34,280 --> 00:41:36,960 Speaker 1: what are you gonna do? But it doesn't have to be. 773 00:41:37,120 --> 00:41:39,440 Speaker 1: And so you can look at these new markets as 774 00:41:39,600 --> 00:41:42,280 Speaker 1: an area. I mean, this is this could be huge business, 775 00:41:42,800 --> 00:41:46,359 Speaker 1: very profitable, as an area to try to shift things 776 00:41:46,400 --> 00:41:49,840 Speaker 1: and try something different than what we've done in the past. Yeah, 777 00:41:49,840 --> 00:41:52,279 Speaker 1: this is a small effort, but we'll see where it goes. 778 00:41:52,320 --> 00:41:53,879 Speaker 1: But I thought it was really thought for both Well, 779 00:41:53,880 --> 00:41:57,200 Speaker 1: it's good because actually the remember also if you're against 780 00:41:57,280 --> 00:41:59,359 Speaker 1: big business and big pharma and all those people those 781 00:41:59,400 --> 00:42:02,080 Speaker 1: people love we I mean big Tobacco and Altria and 782 00:42:02,080 --> 00:42:04,840 Speaker 1: all these other people are going all in venture capital 783 00:42:05,080 --> 00:42:07,000 Speaker 1: as well. Pretty much the only way I would support 784 00:42:07,080 --> 00:42:09,759 Speaker 1: legal marijuana is if it was nonprofit worker co ops 785 00:42:09,800 --> 00:42:13,000 Speaker 1: that are completely nonprofit with profits that are distributed all 786 00:42:13,040 --> 00:42:16,359 Speaker 1: throughout the workforce and are not for shareholder capital. That's it, 787 00:42:16,480 --> 00:42:18,640 Speaker 1: because it's the only way to make sure that you 788 00:42:18,680 --> 00:42:23,120 Speaker 1: don't have the cigarette cigarettization of weed. I don't know. 789 00:42:23,120 --> 00:42:25,280 Speaker 1: People are always like, what about cigarettes? What about alcohol? 790 00:42:25,360 --> 00:42:28,239 Speaker 1: Those are terrible? Do you really want big tobacco and 791 00:42:28,280 --> 00:42:30,839 Speaker 1: big alcohol? Like do you want those things in order 792 00:42:30,880 --> 00:42:33,960 Speaker 1: to increase Did you guys know that we pay one 793 00:42:34,080 --> 00:42:36,640 Speaker 1: fifth currently the alcohol tax that we did in the 794 00:42:36,760 --> 00:42:40,920 Speaker 1: nineteen eighties. That's because of lobbying here in Washington. And 795 00:42:41,040 --> 00:42:42,960 Speaker 1: go ahead and be the senator who wants to vote 796 00:42:43,000 --> 00:42:46,760 Speaker 1: for a higher alcohol tax. I mean, good luck. And look, 797 00:42:47,000 --> 00:42:49,200 Speaker 1: most of these taxes are paid by the poor. And 798 00:42:49,239 --> 00:42:53,520 Speaker 1: that's why my solution is not to simply tax legal marijuana. 799 00:42:53,840 --> 00:42:57,480 Speaker 1: Pass the tax on onto the poor people or average 800 00:42:57,480 --> 00:43:00,400 Speaker 1: people who would be consuming it while the companies make billions. 801 00:43:00,640 --> 00:43:03,200 Speaker 1: It would be don't let the companies exist in the 802 00:43:03,200 --> 00:43:06,799 Speaker 1: first place. This is a real troubling concern because big 803 00:43:06,840 --> 00:43:09,800 Speaker 1: tobacco and others are moving in. Like do you want 804 00:43:10,120 --> 00:43:13,879 Speaker 1: Joe cool for like high engineered THHC. If you're over 805 00:43:13,960 --> 00:43:16,680 Speaker 1: twenty five years old and you want to bomb yourself 806 00:43:16,920 --> 00:43:20,400 Speaker 1: with some like mega grade THHC, Brownie, honestly, go for it. 807 00:43:20,520 --> 00:43:23,040 Speaker 1: I've got nothing against it. But if you're sixteen years old, 808 00:43:23,400 --> 00:43:25,600 Speaker 1: we know from research that that's going to affect your 809 00:43:25,600 --> 00:43:28,359 Speaker 1: IQ in the long run. Yeah, and I'm not cool 810 00:43:28,360 --> 00:43:30,120 Speaker 1: with that, and I don't think anybody should. Well. The 811 00:43:30,200 --> 00:43:34,480 Speaker 1: issue though, is that prohibition has failed to prevent those 812 00:43:34,520 --> 00:43:37,440 Speaker 1: sixteen year olds in battle for sure. If anything, the 813 00:43:37,520 --> 00:43:40,840 Speaker 1: fact that I mean, instead of Joe Cool and big tobacco, 814 00:43:41,040 --> 00:43:44,319 Speaker 1: you have like criminal narcotics, gangs and your lords. I 815 00:43:44,320 --> 00:43:48,600 Speaker 1: didn't say, you know, killing us with people with fentanyl 816 00:43:48,640 --> 00:43:51,760 Speaker 1: which is impure, and people are dying of overdose dats 817 00:43:51,760 --> 00:43:54,160 Speaker 1: because of all of that. So the current system is 818 00:43:55,000 --> 00:43:58,120 Speaker 1: wildly immoral, doesn't even come close to doing what it 819 00:43:58,160 --> 00:43:59,920 Speaker 1: claims to do, which is to stop people from using 820 00:44:00,040 --> 00:44:04,000 Speaker 1: these substances in the first place. So as it seems 821 00:44:04,000 --> 00:44:06,200 Speaker 1: to be that the public becomes more and more accepting, 822 00:44:06,360 --> 00:44:08,600 Speaker 1: especially marijuana, but we're starting to see still look like 823 00:44:08,600 --> 00:44:11,239 Speaker 1: sixty marijuana. Let's be on it. It's going to be 824 00:44:11,320 --> 00:44:13,320 Speaker 1: legal in ten years. Yeah. But I don't know what 825 00:44:13,400 --> 00:44:15,279 Speaker 1: Joe Biden is messing around with. I mean, he could. 826 00:44:15,400 --> 00:44:17,160 Speaker 1: This is one area where he has the power to act. 827 00:44:17,239 --> 00:44:18,719 Speaker 1: You're going to do it, you should not do it 828 00:44:19,080 --> 00:44:21,799 Speaker 1: willy nilly, because then the corporate people will come in 829 00:44:21,880 --> 00:44:23,640 Speaker 1: and they will own the business from the beginning, and 830 00:44:23,719 --> 00:44:27,160 Speaker 1: good luck name me one corporation billion dollar interest that 831 00:44:27,280 --> 00:44:30,200 Speaker 1: was created and then rolled back. Well, right, I do 832 00:44:30,320 --> 00:44:33,839 Speaker 1: think that. Look, I personally think that all markets are 833 00:44:33,880 --> 00:44:37,840 Speaker 1: totally screwed up by the just like relentless obsession with 834 00:44:37,960 --> 00:44:41,720 Speaker 1: profits and completely immoral value system. But there are certain 835 00:44:41,760 --> 00:44:44,239 Speaker 1: markets where you can see those problems more clearly. Yeah, 836 00:44:44,239 --> 00:44:47,120 Speaker 1: one is healthcare. Write the idea that people profit off 837 00:44:47,160 --> 00:44:50,239 Speaker 1: of death and sickness and disease, and this is obviously 838 00:44:50,280 --> 00:44:53,719 Speaker 1: adjacent to healthcare. Frankly, I mean, some of these substances 839 00:44:53,800 --> 00:44:56,680 Speaker 1: have direct uses, marijuana being one of them's al as 840 00:44:56,719 --> 00:44:58,879 Speaker 1: ivan being another one. We're learning more and more about 841 00:44:58,920 --> 00:45:03,160 Speaker 1: the potential of some of these products to deal with 842 00:45:03,200 --> 00:45:07,560 Speaker 1: PTSD and severe depression and even like easing people's journey 843 00:45:07,600 --> 00:45:10,839 Speaker 1: at the end of life. There's an incredible promise there. 844 00:45:11,280 --> 00:45:13,880 Speaker 1: But when it gets wrapped up in a capitalist system 845 00:45:13,880 --> 00:45:16,640 Speaker 1: where you're just selling, selling, selling, and your only interest 846 00:45:16,719 --> 00:45:20,279 Speaker 1: is in more and more and more with potentially addictive 847 00:45:20,560 --> 00:45:24,640 Speaker 1: substances which can be abused, you can see how that, 848 00:45:24,840 --> 00:45:28,840 Speaker 1: just like cap late stage capitalist structure is really really troubling. 849 00:45:28,880 --> 00:45:32,040 Speaker 1: So the fact that they're offering a different model that 850 00:45:32,280 --> 00:45:35,560 Speaker 1: not only would help to ameliorate those concerns, but also 851 00:45:35,640 --> 00:45:39,240 Speaker 1: could actually be a springboard for reforms across other sectors. 852 00:45:39,640 --> 00:45:42,279 Speaker 1: I thought that that was that's actually really exciting, really 853 00:45:42,320 --> 00:45:44,120 Speaker 1: interesting something to follow. We'll see if they do. The 854 00:45:44,160 --> 00:45:45,560 Speaker 1: other thing that this relates to is I don't know 855 00:45:45,560 --> 00:45:48,000 Speaker 1: if you remember I did this monologue a long time 856 00:45:48,040 --> 00:45:51,160 Speaker 1: back on Rising about how in Rhode Island they just 857 00:45:51,200 --> 00:45:55,120 Speaker 1: had a massive ce change in terms of their elected representatives. 858 00:45:55,160 --> 00:45:57,399 Speaker 1: They had Ah, that's right, I remember this. Yeah, there 859 00:45:57,440 --> 00:45:59,040 Speaker 1: was a slate. I think this is another thing. Ryan 860 00:45:59,080 --> 00:46:02,520 Speaker 1: Grimm was a Democrat ESA slate. It was like a 861 00:46:02,560 --> 00:46:06,120 Speaker 1: slate of progressives that ran together as a coalition. Rhode 862 00:46:06,160 --> 00:46:08,120 Speaker 1: Island is a blue state, but it was one of 863 00:46:08,120 --> 00:46:12,279 Speaker 1: these like Geena Rimando the governor. She's like totally right 864 00:46:12,320 --> 00:46:15,640 Speaker 1: wing commerce secretary. Yeah great, yeah, awesome, And she's like 865 00:46:15,719 --> 00:46:18,360 Speaker 1: totally right wing corporate democrat. And that was the model. 866 00:46:18,840 --> 00:46:21,759 Speaker 1: These essentially Republicans would run as Democrats because you have 867 00:46:21,840 --> 00:46:24,280 Speaker 1: to win in the state, and so they just swept 868 00:46:24,320 --> 00:46:28,360 Speaker 1: in this new, you know, mostly young, more radical coalition. 869 00:46:29,320 --> 00:46:32,560 Speaker 1: So you would think that that, combined with this proposal, 870 00:46:33,040 --> 00:46:35,279 Speaker 1: there may be some fertile grown there, So I don't know. 871 00:46:35,360 --> 00:46:37,040 Speaker 1: We'll see, We'll keep an eye on it. Yeah, it'll 872 00:46:37,080 --> 00:46:38,960 Speaker 1: be interesting, all right, Sager, What are you looking at 873 00:46:39,000 --> 00:46:41,000 Speaker 1: for your breaking points? Well, one of the stories that 874 00:46:41,080 --> 00:46:43,520 Speaker 1: I delighted in most while at Rising was during the 875 00:46:43,520 --> 00:46:47,040 Speaker 1: Democratic primary. Anytime Kamala Harris would open her mouth, you 876 00:46:47,040 --> 00:46:49,760 Speaker 1: could pretty much guarantee whatever she said would be cringe, 877 00:46:49,920 --> 00:46:54,160 Speaker 1: politically calculated, packy, and generally so untalented and fake it 878 00:46:54,160 --> 00:46:57,680 Speaker 1: would repel anyone in one hundred foot radius around her. Unfortunately, 879 00:46:57,920 --> 00:47:00,160 Speaker 1: she wasn't around that long because she was literally so 880 00:47:00,239 --> 00:47:02,480 Speaker 1: bad she had to drop out of the primary before Iowa. 881 00:47:02,719 --> 00:47:05,839 Speaker 1: She dropped out because she was literally polling like fourth 882 00:47:05,880 --> 00:47:08,440 Speaker 1: or fifth in her own home state of California. She 883 00:47:08,520 --> 00:47:10,800 Speaker 1: was around three percent nationally in the polls. It was 884 00:47:10,880 --> 00:47:13,840 Speaker 1: one of the biggest political falls relative to media coverage 885 00:47:13,880 --> 00:47:16,040 Speaker 1: that we saw. Now. I thought we were rid of 886 00:47:16,040 --> 00:47:19,439 Speaker 1: her until Biden decided to pick her vice president, which 887 00:47:19,480 --> 00:47:21,560 Speaker 1: I was shocked. Honestly, I thought he was a much 888 00:47:21,600 --> 00:47:24,160 Speaker 1: better politician than that. He's been around so long, and 889 00:47:24,200 --> 00:47:26,640 Speaker 1: he picks one of the most unlikable people in modern 890 00:47:26,640 --> 00:47:30,520 Speaker 1: American politics to not only be his VP, but natural successor. 891 00:47:30,840 --> 00:47:33,839 Speaker 1: In his own words, come on, man, well, it looks 892 00:47:33,880 --> 00:47:36,160 Speaker 1: like right now Biden is starting to regret that choice 893 00:47:36,160 --> 00:47:39,720 Speaker 1: of Kamala. After six months in office, finally being handed 894 00:47:39,760 --> 00:47:42,960 Speaker 1: something to do in typical Kamala fashion, it's not going 895 00:47:43,000 --> 00:47:45,560 Speaker 1: so well. Harris recently made her first trip down to 896 00:47:45,600 --> 00:47:48,880 Speaker 1: Central America to try and address quote, the root causes 897 00:47:48,880 --> 00:47:51,440 Speaker 1: of the migrant crisis, and while she was there, she 898 00:47:51,560 --> 00:47:54,560 Speaker 1: decided to sit for an interview with NBC's Lester Hoole, 899 00:47:54,800 --> 00:47:57,440 Speaker 1: and it went really poorly for her. Let's take quickly, 900 00:47:57,440 --> 00:48:00,479 Speaker 1: put a button. Do you have any plans to visit 901 00:48:00,520 --> 00:48:04,839 Speaker 1: the border at some point? You know we are going 902 00:48:04,880 --> 00:48:07,640 Speaker 1: to the border. We've been to the border. So this whole, 903 00:48:07,719 --> 00:48:10,399 Speaker 1: this whole, this whole thing about the border. We've been 904 00:48:10,440 --> 00:48:13,000 Speaker 1: to the border. We've been to the border. You haven't 905 00:48:13,000 --> 00:48:16,280 Speaker 1: been to the border, and I haven't been to Europe. 906 00:48:16,680 --> 00:48:19,600 Speaker 1: And I mean, don't I don't understand the point that 907 00:48:19,640 --> 00:48:22,400 Speaker 1: you're making. I'm not discounting the importance of the border. Well, 908 00:48:22,680 --> 00:48:25,400 Speaker 1: I mentioned because I know Republicans have certainly come at 909 00:48:25,520 --> 00:48:30,200 Speaker 1: you on this. But Democratic Congressman Quaar has a border district, 910 00:48:30,280 --> 00:48:32,560 Speaker 1: has said to you and the president. Come, you need 911 00:48:32,600 --> 00:48:34,720 Speaker 1: to care about this. Let'ten I care about what's happening 912 00:48:34,760 --> 00:48:39,359 Speaker 1: at the border. I'm in Guatemala because my focus is 913 00:48:39,360 --> 00:48:42,880 Speaker 1: dealing with the root causes of migration. There may be 914 00:48:44,280 --> 00:48:46,640 Speaker 1: uh what, so she cares about the border, she's been 915 00:48:46,680 --> 00:48:48,279 Speaker 1: to the border. She hasn't been to the border, and 916 00:48:48,320 --> 00:48:51,160 Speaker 1: also hasn't been to Europe. Okay, lots going on there 917 00:48:51,200 --> 00:48:54,160 Speaker 1: stemming from the pretty legitimate question why hasn't the person 918 00:48:54,200 --> 00:48:56,880 Speaker 1: in charge of stopping the migrant crisis been to the 919 00:48:57,000 --> 00:49:00,239 Speaker 1: US Mexico border. It's a pretty basic question that she 920 00:49:00,280 --> 00:49:02,640 Speaker 1: cannot seem to answer. It's not just me saying it. 921 00:49:02,719 --> 00:49:06,400 Speaker 1: Apparently it's people inside the White House too. Kamala's trip 922 00:49:06,640 --> 00:49:10,800 Speaker 1: went so bad the White House leaked to CNN's morning 923 00:49:10,880 --> 00:49:14,399 Speaker 1: news show that they were unhappy. It's truly incredible. Take 924 00:49:14,400 --> 00:49:18,000 Speaker 1: a listen. Vice President Kamala Harris back in the United 925 00:49:18,000 --> 00:49:20,719 Speaker 1: States this morning after a trip to Guatemala and Mexico, 926 00:49:20,800 --> 00:49:24,680 Speaker 1: her first foreign trip as vice president. This morning, were 927 00:49:24,719 --> 00:49:26,919 Speaker 1: told that some of what she said on their trip, 928 00:49:27,000 --> 00:49:31,120 Speaker 1: her answers to questions, maybe even obvious questions. Those answered 929 00:49:31,160 --> 00:49:36,680 Speaker 1: have White House insiders perplexed. Imagine having your trip goes 930 00:49:36,840 --> 00:49:40,560 Speaker 1: so badly your own boss leaks to CNN to do 931 00:49:40,600 --> 00:49:42,960 Speaker 1: a segment that they hated. How bad of a job 932 00:49:43,000 --> 00:49:45,680 Speaker 1: that you did, and it actually gets better. CNN the 933 00:49:45,680 --> 00:49:48,000 Speaker 1: White House are not the only ones turning on Kamala. 934 00:49:48,360 --> 00:49:51,600 Speaker 1: It's so is the bastion of the center left, mourning Joe. 935 00:49:51,960 --> 00:49:55,719 Speaker 1: Even Mika Brazinski turned on her during that show. Yes, 936 00:49:55,800 --> 00:49:57,400 Speaker 1: we have to look at root causes, but there is 937 00:49:57,480 --> 00:50:00,359 Speaker 1: a crisis at the border right now today, and you 938 00:50:00,360 --> 00:50:02,680 Speaker 1: have to address that today while you look at the 939 00:50:02,760 --> 00:50:06,200 Speaker 1: root causes down the road. I think also part of 940 00:50:06,280 --> 00:50:11,000 Speaker 1: leading is optics and showing that and showing what you 941 00:50:11,040 --> 00:50:13,759 Speaker 1: care about and what your goals are and going into 942 00:50:13,840 --> 00:50:15,960 Speaker 1: the border would have made a big difference. This has 943 00:50:16,000 --> 00:50:18,120 Speaker 1: been a discussion for weeks. I'm not sure why it 944 00:50:18,120 --> 00:50:20,319 Speaker 1: hasn't happened. It's a lot of easier you have said 945 00:50:20,360 --> 00:50:25,239 Speaker 1: than done, but perhaps should have been a priority. It 946 00:50:25,320 --> 00:50:28,479 Speaker 1: is genuinely hilarious to me to see this happen because 947 00:50:28,480 --> 00:50:31,839 Speaker 1: it vindicates something I've always believed. Kamala Harris is a 948 00:50:31,960 --> 00:50:36,880 Speaker 1: terrible politician, probably even worse vice president. She is unable 949 00:50:36,960 --> 00:50:39,920 Speaker 1: to complete the most basic task of a low grade 950 00:50:39,960 --> 00:50:44,200 Speaker 1: foreign trip without causing herself multiple domestic political crises. And 951 00:50:44,320 --> 00:50:47,480 Speaker 1: do not mistake this as something only the GOP is 952 00:50:47,520 --> 00:50:49,920 Speaker 1: mad at her for. She managed to piss off AOC 953 00:50:50,360 --> 00:50:54,279 Speaker 1: and all the progressives because she hilariously traveled all the 954 00:50:54,280 --> 00:50:57,360 Speaker 1: way down to Central America as some sort of major 955 00:50:57,440 --> 00:51:02,080 Speaker 1: departure from the Trump administration policy, only to literally repeat 956 00:51:02,280 --> 00:51:06,640 Speaker 1: the same Trump administration line and Obama administrations. Let's take 957 00:51:06,640 --> 00:51:10,080 Speaker 1: a listen. I want to be clear to folks in 958 00:51:10,120 --> 00:51:14,080 Speaker 1: this region who are thinking about making that dangerous track 959 00:51:15,080 --> 00:51:21,440 Speaker 1: to the United States Mexico border, do not come. Do 960 00:51:21,560 --> 00:51:26,040 Speaker 1: not come. Yeah, go ahead and tell me how that's 961 00:51:26,160 --> 00:51:30,160 Speaker 1: qualitatively different than Trump and Obama before him. Hint, it's not. 962 00:51:30,400 --> 00:51:32,840 Speaker 1: It's the same policy. I'm not the only one who noticed. 963 00:51:33,040 --> 00:51:35,800 Speaker 1: Even AOC went after Harris along with several other progressives 964 00:51:35,800 --> 00:51:38,520 Speaker 1: in the media. She has managed to literally piss off 965 00:51:38,640 --> 00:51:42,120 Speaker 1: everyone in this trip, affirming my basic position from the 966 00:51:42,200 --> 00:51:45,560 Speaker 1: very beginning of her ill fated campaign. She's a bad politician, 967 00:51:45,800 --> 00:51:48,640 Speaker 1: and even the center left who desperately tried to make 968 00:51:48,680 --> 00:51:51,480 Speaker 1: her happen in the first place are beginning to realize it, 969 00:51:51,600 --> 00:51:53,880 Speaker 1: along with the guy who hired her to be his 970 00:51:54,040 --> 00:51:57,080 Speaker 1: literal successor you just can't make some of this stuff up. 971 00:51:57,400 --> 00:52:00,719 Speaker 1: It's just amazing, Crystal, I've never seen such I mean, 972 00:52:00,880 --> 00:52:05,080 Speaker 1: that interview is so cringe. That is Trump level lack 973 00:52:05,239 --> 00:52:08,640 Speaker 1: of like coherence whenever you're answering or a question. I've 974 00:52:08,680 --> 00:52:11,320 Speaker 1: never been to Europe? What what? What? What are you saying? 975 00:52:11,520 --> 00:52:13,799 Speaker 1: And here's the thing, if you are in charge, we 976 00:52:13,840 --> 00:52:15,319 Speaker 1: all know why she doesn't want to go to the border. 977 00:52:15,360 --> 00:52:17,040 Speaker 1: She doesn't want the photo op of being in the border. 978 00:52:17,160 --> 00:52:18,520 Speaker 1: She doesn't want it to be in the news. If 979 00:52:18,560 --> 00:52:20,200 Speaker 1: you're gonna go, if you're gonna this is gonna be 980 00:52:20,200 --> 00:52:22,759 Speaker 1: your thing, then make it your thing. And then she 981 00:52:23,040 --> 00:52:26,000 Speaker 1: stumbles in this interview, does a terror lester? Can you 982 00:52:26,040 --> 00:52:28,960 Speaker 1: think of an easier interviewer or like somebody who's probably 983 00:52:29,000 --> 00:52:31,839 Speaker 1: gonna be more friendly to you? I can't, And she 984 00:52:32,080 --> 00:52:34,560 Speaker 1: screws that up. Then the White House leaks that they're 985 00:52:34,719 --> 00:52:37,920 Speaker 1: perplexed to CNN, which I think is just so funny. 986 00:52:38,280 --> 00:52:41,200 Speaker 1: So and then pisses off AOC and the Republicans. So 987 00:52:41,239 --> 00:52:44,080 Speaker 1: I'm like, go ahead, good job. It's just an amazing 988 00:52:44,160 --> 00:52:47,600 Speaker 1: vindication that she was terrible from the beginning. She never 989 00:52:47,719 --> 00:52:49,919 Speaker 1: was able to do a very good job, and here 990 00:52:49,960 --> 00:52:51,920 Speaker 1: we go. Now we're seeing what the actual results are. 991 00:52:52,200 --> 00:52:55,000 Speaker 1: Lester can actually be a very savvy interviewer, but this 992 00:52:55,120 --> 00:52:58,080 Speaker 1: question was so obvious. Yeah, I mean, you know you're 993 00:52:58,120 --> 00:53:02,359 Speaker 1: gonna get answered asked one hundred percent, No, that you're 994 00:53:02,400 --> 00:53:05,240 Speaker 1: gonna get asked about why you haven't gone to the border. Personally, 995 00:53:05,280 --> 00:53:07,640 Speaker 1: I don't really care about the photo op at the border, 996 00:53:07,680 --> 00:53:09,160 Speaker 1: and I you know, this whole idea of like you 997 00:53:09,200 --> 00:53:10,520 Speaker 1: must go to the bard. I mean, when she's not 998 00:53:10,560 --> 00:53:12,200 Speaker 1: gonna like do anything at the border, and if she 999 00:53:12,200 --> 00:53:14,120 Speaker 1: hasn't be alternative to say it would be fine. Yeah, 1000 00:53:14,360 --> 00:53:16,279 Speaker 1: I mean it is very funny that, of course the 1001 00:53:16,320 --> 00:53:19,000 Speaker 1: Morning Joe thing that people what they pick up on 1002 00:53:19,200 --> 00:53:21,239 Speaker 1: is like, oh, the optics, because that's the only thing 1003 00:53:21,239 --> 00:53:24,040 Speaker 1: that they really understand or care about. But you know 1004 00:53:24,160 --> 00:53:27,920 Speaker 1: that this question is coming and you're still unable to 1005 00:53:27,960 --> 00:53:30,399 Speaker 1: give a decent response to it. I mean just seem 1006 00:53:30,760 --> 00:53:32,560 Speaker 1: first of all, it seemed like she was sort of 1007 00:53:32,760 --> 00:53:35,919 Speaker 1: trying to get away with this slight of hand of like, well, 1008 00:53:35,920 --> 00:53:38,080 Speaker 1: we've been to the border, right, and he says, but 1009 00:53:38,600 --> 00:53:41,160 Speaker 1: you you have n't been to the border. Why And 1010 00:53:41,160 --> 00:53:43,920 Speaker 1: then she gives this very flippant response about your combined 1011 00:53:43,960 --> 00:53:46,560 Speaker 1: with that super awkward laugh that she does when she's 1012 00:53:46,960 --> 00:53:49,040 Speaker 1: when she's uncomfortable, which I relate to I probably do 1013 00:53:49,080 --> 00:53:51,480 Speaker 1: the same thing, but she does it a lot. It 1014 00:53:51,600 --> 00:53:55,680 Speaker 1: reminded me of back in the early days of the campaign, 1015 00:53:55,760 --> 00:53:59,520 Speaker 1: that first debate performance when she knife Joe Biden and 1016 00:53:59,560 --> 00:54:03,200 Speaker 1: it and you know, now in retrospect we see the 1017 00:54:03,239 --> 00:54:04,799 Speaker 1: way they split it up with the T shirts and 1018 00:54:04,840 --> 00:54:08,120 Speaker 1: prepackaged and undercutage. She immediately like came out and basically 1019 00:54:08,120 --> 00:54:09,880 Speaker 1: said she agreed with Biden on and the whole thing 1020 00:54:09,960 --> 00:54:15,280 Speaker 1: was a mess. But that performance truly was really strong. 1021 00:54:15,440 --> 00:54:17,640 Speaker 1: The whole debate, she was on it, she was prepared, 1022 00:54:17,680 --> 00:54:20,240 Speaker 1: she was ready to go. And then the next morning 1023 00:54:20,440 --> 00:54:22,319 Speaker 1: I saw an interview with her on one of the 1024 00:54:22,360 --> 00:54:24,239 Speaker 1: morning shows, I think she's on with Nora O'Donnell or 1025 00:54:24,239 --> 00:54:27,799 Speaker 1: somebody like that, and she was completely different. I mean, 1026 00:54:27,960 --> 00:54:31,319 Speaker 1: she walked it back. It wasn't strong, it wasn't coherent, 1027 00:54:31,880 --> 00:54:35,439 Speaker 1: she was uncomfortable. And this is something that people who 1028 00:54:35,480 --> 00:54:37,880 Speaker 1: work with her know is that she doesn't do a 1029 00:54:37,920 --> 00:54:42,680 Speaker 1: lot of interviews. She's very carefully managed because she's really 1030 00:54:42,680 --> 00:54:46,520 Speaker 1: effective when she can prepare and have total control over 1031 00:54:46,520 --> 00:54:49,440 Speaker 1: the situation that comes from her background as a prosecutor. 1032 00:54:49,800 --> 00:54:52,400 Speaker 1: But when she's off the cuff at all, you end 1033 00:54:52,480 --> 00:54:55,840 Speaker 1: up with situations like this one where you just incredibly 1034 00:54:55,880 --> 00:54:59,480 Speaker 1: off putting remarks and inability to handle just like basic questions. 1035 00:55:00,040 --> 00:55:03,400 Speaker 1: U Teinely, this is what happens when you pick a 1036 00:55:03,520 --> 00:55:07,600 Speaker 1: vice president who I mean the Democratic primary base, Yes, 1037 00:55:07,640 --> 00:55:12,280 Speaker 1: surely rejected. Yes, immedately, They looked, they evaluated the situation, 1038 00:55:12,400 --> 00:55:15,160 Speaker 1: said this person's not we're not ready to put this 1039 00:55:15,200 --> 00:55:17,279 Speaker 1: person in this position of power. And I think they 1040 00:55:17,280 --> 00:55:19,960 Speaker 1: had a lot more wisdom ultimately than the Biden administration 1041 00:55:20,000 --> 00:55:21,719 Speaker 1: and putting her on the Tickett No, I think you're 1042 00:55:21,719 --> 00:55:24,839 Speaker 1: absolutely right. It's just stunning that they Joe Biden thinks 1043 00:55:24,880 --> 00:55:27,800 Speaker 1: that this person could ever run for president. If she 1044 00:55:27,880 --> 00:55:30,759 Speaker 1: runs in twenty twenty four, you all better get those hats. 1045 00:55:30,800 --> 00:55:34,040 Speaker 1: And it's so true. And one other thing I want 1046 00:55:34,080 --> 00:55:36,640 Speaker 1: to say is like the hypocrisy is just astounding. I mean, 1047 00:55:36,719 --> 00:55:38,759 Speaker 1: the thing she said about go home, and then she 1048 00:55:38,800 --> 00:55:41,200 Speaker 1: goes through the whole and these are very like Republican talking. 1049 00:55:41,280 --> 00:55:43,680 Speaker 1: We have a legal system of immigration, and we want 1050 00:55:43,760 --> 00:55:47,479 Speaker 1: legal immigration, not illegal, which Okay, yeah, sure, but fail 1051 00:55:47,560 --> 00:55:51,240 Speaker 1: to acknowledge what everybody knows that the legal migration system 1052 00:55:51,360 --> 00:55:55,200 Speaker 1: is a total broken disaster joke anyway that you cut it. 1053 00:55:55,719 --> 00:55:59,640 Speaker 1: So contrast that with what she was saying on the 1054 00:55:59,640 --> 00:56:04,680 Speaker 1: Campaig nine days. She clearly she doesn't stand for or 1055 00:56:04,680 --> 00:56:07,840 Speaker 1: believe it. And I'm always been the core I generally 1056 00:56:07,880 --> 00:56:10,200 Speaker 1: agree with the core principle of the Trump administration that 1057 00:56:10,239 --> 00:56:13,239 Speaker 1: they enforced during the migrant crisis. But you know what, 1058 00:56:13,560 --> 00:56:16,920 Speaker 1: don't gaslight and say all cruelty whatever and then do 1059 00:56:17,040 --> 00:56:19,719 Speaker 1: the exact same thing whenever you've got in there. You're 1060 00:56:19,760 --> 00:56:22,480 Speaker 1: just so absolutely full of it. But we have a 1061 00:56:22,480 --> 00:56:24,600 Speaker 1: great guest in order to talk about how democrats are 1062 00:56:24,600 --> 00:56:27,479 Speaker 1: full of it, not just some mainstream ones, the justice 1063 00:56:27,520 --> 00:56:30,800 Speaker 1: democrats as well. Our old our friend Kyle Kolinsky is 1064 00:56:30,800 --> 00:56:34,279 Speaker 1: going to join us next. Let's take a listen some 1065 00:56:34,360 --> 00:56:36,839 Speaker 1: really interesting new data on stimulus checks and how they 1066 00:56:36,880 --> 00:56:39,640 Speaker 1: made such an incredible impact on the lives of Americans. 1067 00:56:39,680 --> 00:56:42,120 Speaker 1: The perfect person to come here and talk about it indeed, 1068 00:56:42,320 --> 00:56:45,400 Speaker 1: a young up and comer you may just be learning about, 1069 00:56:45,520 --> 00:56:48,240 Speaker 1: the hosts of Secular Talk and also the co host 1070 00:56:48,440 --> 00:56:50,160 Speaker 1: of a little podcast you might want to check out 1071 00:56:50,200 --> 00:56:54,520 Speaker 1: called Crystal Kyle and Friends, the one on the Kyle Hello, Kyle. 1072 00:56:54,760 --> 00:56:57,000 Speaker 1: I might take issue with the young thing because everybody 1073 00:56:57,040 --> 00:56:59,399 Speaker 1: can clearly see under these bright lights, the gray hair 1074 00:57:00,040 --> 00:57:02,600 Speaker 1: body knows. I've been on YouTube since twenty twelve. If 1075 00:57:02,600 --> 00:57:05,480 Speaker 1: you're not young, then I need to be in the 1076 00:57:05,560 --> 00:57:07,319 Speaker 1: nursing home. So we're sticking with the young for you. 1077 00:57:07,640 --> 00:57:09,600 Speaker 1: Maybe I'll meet you in the nurse home. So what 1078 00:57:09,640 --> 00:57:11,560 Speaker 1: do you make of what's happening here? Kyle? So Jeff 1079 00:57:11,600 --> 00:57:13,480 Speaker 1: Stein will put his tweet up there on the screen. 1080 00:57:13,560 --> 00:57:15,600 Speaker 1: After fourteen hundred dollars, temun its jctually had a forty 1081 00:57:15,600 --> 00:57:18,760 Speaker 1: two percent decline in food shortages, forty three percent decline 1082 00:57:18,800 --> 00:57:23,160 Speaker 1: engage a financial instability, and twenty percent decline in anxiety 1083 00:57:23,240 --> 00:57:25,400 Speaker 1: and depression. I actually think this busts a lot of 1084 00:57:25,440 --> 00:57:28,960 Speaker 1: myths around how exactly money from the government actually can 1085 00:57:29,040 --> 00:57:31,480 Speaker 1: have such a substantial impact on people's lives. Well, you 1086 00:57:31,480 --> 00:57:32,920 Speaker 1: know what it reminds me of. It reminds me of 1087 00:57:32,960 --> 00:57:37,640 Speaker 1: that UBI study from Stockton, California. That's right where they 1088 00:57:38,040 --> 00:57:39,800 Speaker 1: tracked it very closely, and it was only five hundred 1089 00:57:39,800 --> 00:57:43,920 Speaker 1: dollars a month for that study. But the amount of 1090 00:57:43,960 --> 00:57:46,440 Speaker 1: the money that went to things that you would typically 1091 00:57:46,520 --> 00:57:48,880 Speaker 1: view as like a vice that people would look down on, 1092 00:57:48,960 --> 00:57:51,520 Speaker 1: like drinking or gambling or whatever. Maybe if I remember correctly, 1093 00:57:51,520 --> 00:57:53,920 Speaker 1: it was about two percent of the money went for that, 1094 00:57:54,080 --> 00:57:58,440 Speaker 1: and virtual the overwhelming majority went for like food, paying 1095 00:57:58,480 --> 00:58:02,200 Speaker 1: the electricity bill rent who yeah, yeah, And you know 1096 00:58:02,240 --> 00:58:04,040 Speaker 1: a point that you made about that is there was 1097 00:58:04,080 --> 00:58:07,280 Speaker 1: a guy who really wanted a new job, a better job, 1098 00:58:07,320 --> 00:58:09,080 Speaker 1: but he couldn't get a day off in order to 1099 00:58:09,120 --> 00:58:11,120 Speaker 1: go interview for a new job. And getting that five 1100 00:58:11,200 --> 00:58:13,360 Speaker 1: hundred dollars made it so that he was able to 1101 00:58:13,360 --> 00:58:15,480 Speaker 1: actually go out and interview for a new job, and 1102 00:58:15,520 --> 00:58:17,480 Speaker 1: he got the job, and now he makes better money 1103 00:58:17,520 --> 00:58:20,400 Speaker 1: and now he's much happier. So, I mean, listen, we've 1104 00:58:20,440 --> 00:58:24,080 Speaker 1: been fed propaganda for decades about how the government can't 1105 00:58:24,120 --> 00:58:26,479 Speaker 1: do any good and if you give somebody a government check, 1106 00:58:26,680 --> 00:58:30,800 Speaker 1: you're basically fostering laziness. It turns out that's just factually incorrect. 1107 00:58:30,840 --> 00:58:33,280 Speaker 1: And most people have some sort of driver or passion 1108 00:58:33,520 --> 00:58:36,520 Speaker 1: to do something in some kind of workplace, whether they're 1109 00:58:36,520 --> 00:58:38,320 Speaker 1: an entrepreneur, they're working for somebody in a field that 1110 00:58:38,360 --> 00:58:41,040 Speaker 1: they want, and so this doesn't disincentivize work. If anything, 1111 00:58:41,080 --> 00:58:43,960 Speaker 1: it just you know, eases the burden and the pain 1112 00:58:44,120 --> 00:58:47,280 Speaker 1: and the hurt of living in a very rapacious capitalist 1113 00:58:47,320 --> 00:58:50,320 Speaker 1: system that's dog eat dog, where everybody's sort of clawing 1114 00:58:50,320 --> 00:58:53,520 Speaker 1: at everybody else's face. And fourteen hundred dollars was the 1115 00:58:54,120 --> 00:58:57,160 Speaker 1: It was actually less than the bare minimum of what 1116 00:58:57,400 --> 00:59:00,640 Speaker 1: people should have gotten. And when you read then that 1117 00:59:00,680 --> 00:59:03,360 Speaker 1: they did with people for whom this was life changing. 1118 00:59:03,440 --> 00:59:06,200 Speaker 1: In this New York Times article, they're like, I was 1119 00:59:06,240 --> 00:59:08,760 Speaker 1: able to be able to feed my kids three times 1120 00:59:09,040 --> 00:59:12,320 Speaker 1: a day again. I was able to go get treatment 1121 00:59:12,360 --> 00:59:16,000 Speaker 1: for my cancer. I was able to get the electricity 1122 00:59:16,280 --> 00:59:19,240 Speaker 1: turned back on in my house. And it just makes 1123 00:59:19,280 --> 00:59:23,200 Speaker 1: you realize, like, for want of this small amount of money, 1124 00:59:23,480 --> 00:59:26,960 Speaker 1: you are miserating people. I wonder, Kyle, do you think 1125 00:59:27,000 --> 00:59:29,600 Speaker 1: that it changes Like do you think that the fact 1126 00:59:29,640 --> 00:59:33,120 Speaker 1: that people got these couple of checks and we're able 1127 00:59:33,120 --> 00:59:35,960 Speaker 1: to see in the super tangible way, like, oh, the 1128 00:59:36,000 --> 00:59:39,080 Speaker 1: government actually can make a difference in my life in 1129 00:59:39,120 --> 00:59:41,960 Speaker 1: a really simple and straightforward way. Do you think that 1130 00:59:41,960 --> 00:59:45,080 Speaker 1: that ultimately shifts our politics in any way? Well, I 1131 00:59:45,120 --> 00:59:48,000 Speaker 1: mean it has shifted our politics in the sense that 1132 00:59:48,120 --> 00:59:50,720 Speaker 1: the polls show the people are like, this is awesome, 1133 00:59:50,800 --> 00:59:53,360 Speaker 1: Let's do more of this. Yeah, Like, the support for 1134 00:59:53,480 --> 00:59:56,240 Speaker 1: universal basic income is through the roof, when not that 1135 00:59:56,320 --> 00:59:58,400 Speaker 1: long ago, like two or three years ago, the polls 1136 00:59:58,400 --> 01:00:02,360 Speaker 1: were way under fifty percent. The people have moved, but unfortunately, 1137 01:00:02,440 --> 01:00:05,880 Speaker 1: like virtually every other issue in our politics, that doesn't 1138 01:00:05,920 --> 01:00:08,840 Speaker 1: necessarily mean that the federal government is going to move 1139 01:00:08,880 --> 01:00:11,480 Speaker 1: on that and stay in that position, because you know, 1140 01:00:11,600 --> 01:00:13,360 Speaker 1: I mean, we could go through the numbers all day long. 1141 01:00:13,400 --> 01:00:16,160 Speaker 1: Seventy percent support Medicare for all, eighty percent support raising 1142 01:00:16,160 --> 01:00:18,120 Speaker 1: the minimum wage to fifteen dollars an hour, The list 1143 01:00:18,160 --> 01:00:19,920 Speaker 1: goes on and on. When you look at stuff like 1144 01:00:20,080 --> 01:00:22,240 Speaker 1: gun reform, it's like, you know, background checks are over 1145 01:00:22,360 --> 01:00:26,240 Speaker 1: ninety percent, but that doesn't necessarily reflect in terms of 1146 01:00:26,280 --> 01:00:29,120 Speaker 1: policy and what Washington, DC is doing, because they're representing 1147 01:00:29,280 --> 01:00:31,760 Speaker 1: big corporate donors and they're really the last people who 1148 01:00:31,840 --> 01:00:35,240 Speaker 1: want these sorts of policies to be implemented. So really 1149 01:00:35,280 --> 01:00:39,439 Speaker 1: it's like among the people, we're in a social democratic era, 1150 01:00:39,600 --> 01:00:42,240 Speaker 1: we're in a post Reagan era, but in terms of 1151 01:00:42,520 --> 01:00:46,360 Speaker 1: the way that they're governing in DC, we're still largely 1152 01:00:46,400 --> 01:00:48,560 Speaker 1: in that Reagan era, although there are you know, little 1153 01:00:48,640 --> 01:00:51,200 Speaker 1: derivatives here and there out of sheer necessity because of 1154 01:00:51,240 --> 01:00:54,160 Speaker 1: a pandemic and what was effectively a depression. The problem 1155 01:00:54,200 --> 01:00:57,240 Speaker 1: I see is that right now they're two ways to 1156 01:00:57,280 --> 01:00:59,680 Speaker 1: look at what happened with COVID. There was in the 1157 01:00:59,720 --> 01:01:02,640 Speaker 1: begin getting an era of transformative change, which is that 1158 01:01:02,680 --> 01:01:06,360 Speaker 1: Trump could have completely remade American society. He could have 1159 01:01:06,440 --> 01:01:09,320 Speaker 1: made that this is the populist era. We could redistribute 1160 01:01:09,320 --> 01:01:13,040 Speaker 1: it of cash, rebuilding a national project. He chose the 1161 01:01:13,120 --> 01:01:16,840 Speaker 1: complete opposite. We entered a more libertarian politics, and Biden 1162 01:01:17,000 --> 01:01:20,280 Speaker 1: explicitly came in with going back to normal, which actually 1163 01:01:20,280 --> 01:01:24,360 Speaker 1: rejects cash politics. Of course he did, you know, embrace 1164 01:01:24,400 --> 01:01:26,120 Speaker 1: it in the beginning, but let's be honest. I mean, 1165 01:01:26,160 --> 01:01:28,360 Speaker 1: this is a flash in the pan moment. So that 1166 01:01:28,520 --> 01:01:31,080 Speaker 1: is really where I wonder how you see it. I 1167 01:01:31,120 --> 01:01:34,160 Speaker 1: already receive a return to the nineteen nineties politics, which 1168 01:01:34,200 --> 01:01:36,240 Speaker 1: is that I don't think another check is ever heading 1169 01:01:36,280 --> 01:01:39,240 Speaker 1: a bank again in the next ten years, simply because 1170 01:01:39,440 --> 01:01:41,120 Speaker 1: and I actually see this amongst some of my more 1171 01:01:41,360 --> 01:01:43,520 Speaker 1: Republican friends will often point to this, which is that 1172 01:01:43,600 --> 01:01:46,520 Speaker 1: working class white men gop bass are the number one 1173 01:01:46,520 --> 01:01:51,080 Speaker 1: opponents actually of unassisted cash welfare and of unassisted cash checks, 1174 01:01:51,320 --> 01:01:54,680 Speaker 1: very very susceptible to work requirements and more. You could 1175 01:01:54,800 --> 01:01:56,680 Speaker 1: talk to you blue in the face about studies and 1176 01:01:56,760 --> 01:01:58,720 Speaker 1: a lot of people just don't care. So I just 1177 01:01:58,760 --> 01:02:01,600 Speaker 1: don't know whether this change politics are not right. Well, 1178 01:02:01,640 --> 01:02:03,240 Speaker 1: here's what I'm afraid of, and this is what I 1179 01:02:03,280 --> 01:02:07,400 Speaker 1: currently see unfolding. What I'm afraid of is now the 1180 01:02:07,560 --> 01:02:10,240 Speaker 1: rhetoric in DC is going to catch up to the 1181 01:02:10,240 --> 01:02:13,200 Speaker 1: polling data and the people where now politicians will go 1182 01:02:13,280 --> 01:02:15,720 Speaker 1: out there and talk about how, hey, I'm helping you out. 1183 01:02:15,720 --> 01:02:17,760 Speaker 1: Hey I expanded the child tax credit. Hey I wanted 1184 01:02:17,760 --> 01:02:19,440 Speaker 1: to cut you a stimulus check. Hey I wanted to 1185 01:02:19,440 --> 01:02:21,000 Speaker 1: give you this sort of money and that sort of money. 1186 01:02:21,120 --> 01:02:23,040 Speaker 1: So the rhetoric is going to catch up in the 1187 01:02:23,040 --> 01:02:24,800 Speaker 1: same way that the rhetoric of like the Left is 1188 01:02:24,800 --> 01:02:27,080 Speaker 1: winning is catching up and Biden's the new FDR is 1189 01:02:27,120 --> 01:02:29,800 Speaker 1: catching up. So they're now changing the narrative in terms 1190 01:02:29,840 --> 01:02:33,640 Speaker 1: of how this stuff is discussed, but again substantively, not 1191 01:02:33,800 --> 01:02:36,480 Speaker 1: much is changing. So now the trick is like, just 1192 01:02:36,600 --> 01:02:39,720 Speaker 1: believe our words about how left we are and about 1193 01:02:39,720 --> 01:02:41,560 Speaker 1: how much we're helping you, and about how much cash 1194 01:02:41,600 --> 01:02:43,840 Speaker 1: we're dolling out, but in terms of our actions, it's 1195 01:02:43,880 --> 01:02:45,960 Speaker 1: going to lag way behind. And this is sort of 1196 01:02:45,960 --> 01:02:48,600 Speaker 1: a way, especially with left Congress people, to sort of 1197 01:02:48,640 --> 01:02:50,440 Speaker 1: like pat them on the back and be like, you 1198 01:02:50,520 --> 01:02:52,960 Speaker 1: guys are doing a great job. I hope you know 1199 01:02:53,040 --> 01:02:56,560 Speaker 1: how much you're influencing President Biden. I mean, he's he's 1200 01:02:56,600 --> 01:02:58,960 Speaker 1: totally bending to your will in every way. And then 1201 01:02:59,000 --> 01:03:01,240 Speaker 1: of course it's just status business as usual, and these 1202 01:03:01,240 --> 01:03:03,240 Speaker 1: people can't wait to have their ego stroke. So the 1203 01:03:03,280 --> 01:03:05,640 Speaker 1: second they get their egostroke, they forget how to fight 1204 01:03:05,640 --> 01:03:07,640 Speaker 1: for any of these things. So it's actually the worst 1205 01:03:07,680 --> 01:03:12,080 Speaker 1: of all worlds because Reaganomics continues, but you have the 1206 01:03:12,200 --> 01:03:16,800 Speaker 1: rhetoric sounding more progressive, and people sort of being diluted 1207 01:03:16,920 --> 01:03:18,880 Speaker 1: into the idea that we've already won a lot of 1208 01:03:18,920 --> 01:03:20,919 Speaker 1: these left wing battles, even though the main ones are 1209 01:03:21,080 --> 01:03:23,800 Speaker 1: nowhere to be seen. Well, So, how do you reflect 1210 01:03:23,840 --> 01:03:27,200 Speaker 1: on as one of the founders of the Justice Democrats, 1211 01:03:28,440 --> 01:03:31,480 Speaker 1: you know, the people who have been elected as part 1212 01:03:31,560 --> 01:03:35,800 Speaker 1: of that movement to you know, challenge the democratic establishment, etcetera. 1213 01:03:35,840 --> 01:03:39,040 Speaker 1: I mean, in the Biden era certainly especially, I mean 1214 01:03:39,120 --> 01:03:41,560 Speaker 1: this was maybe the one that was most disheartened to me, 1215 01:03:41,680 --> 01:03:44,960 Speaker 1: Like with the Capitol police funding, they're providing the votes 1216 01:03:45,520 --> 01:03:50,120 Speaker 1: to serve power and serve the democratic establishment agenda. Is 1217 01:03:50,160 --> 01:03:52,560 Speaker 1: it just that we need to keep trying in that 1218 01:03:52,600 --> 01:03:55,360 Speaker 1: direction and eventually maybe Nina Turner gets there and you've 1219 01:03:55,400 --> 01:03:58,040 Speaker 1: got some leadership or do you think that that model 1220 01:03:58,240 --> 01:04:01,400 Speaker 1: in general is just not and not workable or not 1221 01:04:01,520 --> 01:04:04,160 Speaker 1: a success. So I have ideas and preferences as to 1222 01:04:04,200 --> 01:04:05,640 Speaker 1: what I think is the best in what I think 1223 01:04:05,720 --> 01:04:08,640 Speaker 1: is more likely to work. But substantively, I think you 1224 01:04:08,760 --> 01:04:10,800 Speaker 1: really need to do in all of the above approach. 1225 01:04:10,920 --> 01:04:12,480 Speaker 1: And when I say that, I mean, yes, you have 1226 01:04:12,520 --> 01:04:14,480 Speaker 1: to still try to take over at least one of 1227 01:04:14,520 --> 01:04:16,880 Speaker 1: the two major parties. Yes, people who are trying for 1228 01:04:16,920 --> 01:04:18,760 Speaker 1: a third party route, even though I think it's largely 1229 01:04:18,760 --> 01:04:20,960 Speaker 1: fruitless and they're going to do terribly, I think they 1230 01:04:21,000 --> 01:04:24,200 Speaker 1: should still go down that path. And I also think effectively, 1231 01:04:24,320 --> 01:04:28,760 Speaker 1: like almost anti politics roles work too, where you get 1232 01:04:29,080 --> 01:04:32,520 Speaker 1: directly involved building unions, some sort of general strike, large 1233 01:04:32,520 --> 01:04:35,760 Speaker 1: protest movements, you know, fighting on specific issues even at 1234 01:04:35,800 --> 01:04:37,800 Speaker 1: the state level and the local level. I think that's 1235 01:04:37,840 --> 01:04:41,120 Speaker 1: the path forward in terms of grading justice Democrats and 1236 01:04:41,160 --> 01:04:43,880 Speaker 1: how they did I think they've been a miserable failure. 1237 01:04:44,120 --> 01:04:46,000 Speaker 1: And the reason I think they've been a miserable failure 1238 01:04:46,080 --> 01:04:48,880 Speaker 1: is because I know, as a co founder of Justice Democrats, 1239 01:04:48,960 --> 01:04:51,440 Speaker 1: the whole idea was, you are going to be a 1240 01:04:51,480 --> 01:04:53,240 Speaker 1: tea party of the left. I want you to hold 1241 01:04:53,280 --> 01:04:55,640 Speaker 1: the Democratic leadership just as accountable as you hold the 1242 01:04:55,680 --> 01:04:59,040 Speaker 1: Republican leadership. Because famously John Bahner hated the Tea Party 1243 01:04:59,080 --> 01:05:00,560 Speaker 1: just as much as he hated the Deathmocrats, and hate 1244 01:05:00,560 --> 01:05:02,919 Speaker 1: it over I drove them out of Congress. That's exactly right. 1245 01:05:03,480 --> 01:05:06,600 Speaker 1: So me still wrote a book ten years later being like, 1246 01:05:06,720 --> 01:05:11,480 Speaker 1: screw you. They don't even have the correct strategy being 1247 01:05:11,520 --> 01:05:13,560 Speaker 1: implemented right now. It's not even that they're doing the 1248 01:05:13,560 --> 01:05:16,400 Speaker 1: strategy I want, and they're doing it poorly. They're just 1249 01:05:16,480 --> 01:05:19,080 Speaker 1: not even doing the strategy. If they were doing the strategy, 1250 01:05:19,280 --> 01:05:22,320 Speaker 1: they would find maneuvers they could use, Like, for example, 1251 01:05:22,320 --> 01:05:25,640 Speaker 1: there's enough of them to block all legislations, why don't 1252 01:05:25,680 --> 01:05:28,560 Speaker 1: you block all legislation and say I'm not gonna stop 1253 01:05:28,560 --> 01:05:30,880 Speaker 1: blocking it until Joe Biden takes out his pen and 1254 01:05:30,960 --> 01:05:33,480 Speaker 1: legalizes marijuana through executive order because he can do that. 1255 01:05:33,760 --> 01:05:36,400 Speaker 1: I'm also gonna say you have to at least eliminate 1256 01:05:36,440 --> 01:05:38,600 Speaker 1: fifty thousand dollars with a student debt. In reality, you 1257 01:05:38,640 --> 01:05:39,919 Speaker 1: should do all of it, but he has the legal 1258 01:05:39,960 --> 01:05:42,400 Speaker 1: authority to do it through executive order. So if you 1259 01:05:42,440 --> 01:05:44,200 Speaker 1: really want to play the kind of politics that I'm 1260 01:05:44,240 --> 01:05:47,320 Speaker 1: in favor of, that's what you fucking do. Because guess what, 1261 01:05:47,520 --> 01:05:50,160 Speaker 1: even if the media attacks you, and they're gonna attack you, 1262 01:05:50,160 --> 01:05:52,320 Speaker 1: you can fucking fight back. These people are scared of 1263 01:05:52,320 --> 01:05:54,920 Speaker 1: their own shadow, Like, oh my god, CNN came after me. 1264 01:05:54,960 --> 01:05:57,040 Speaker 1: They're negative eight fans are gonna hate me. I don't 1265 01:05:57,040 --> 01:05:59,680 Speaker 1: give a fuck fight back, say, I'm fighting for the people. 1266 01:06:00,080 --> 01:06:03,280 Speaker 1: I remember when the Tea Party was willing to hold 1267 01:06:03,360 --> 01:06:05,640 Speaker 1: up the full faith and credit of the United States. 1268 01:06:05,880 --> 01:06:10,200 Speaker 1: That's literally like a moderate increase in the American debt. 1269 01:06:10,400 --> 01:06:12,840 Speaker 1: So yeah, So let me ask you, though, is that 1270 01:06:13,160 --> 01:06:16,520 Speaker 1: do you think that that's like inevitable? Are these personal 1271 01:06:16,800 --> 01:06:20,800 Speaker 1: failings it's specific to these individual lawmakers or is this 1272 01:06:20,960 --> 01:06:24,480 Speaker 1: just like the system is always going to create this 1273 01:06:24,560 --> 01:06:27,320 Speaker 1: outcome for the less That's a great question. So it's both. 1274 01:06:27,640 --> 01:06:29,880 Speaker 1: It's both things. I think they are both individual failings 1275 01:06:29,880 --> 01:06:32,200 Speaker 1: and I think it's systemic as well, where I differ 1276 01:06:32,240 --> 01:06:34,480 Speaker 1: from some of my lefty friends is that a lot 1277 01:06:34,480 --> 01:06:38,080 Speaker 1: of people like to argue that like Alexandria Kasho Cortez 1278 01:06:38,120 --> 01:06:40,280 Speaker 1: and Ilhan Omar and fill in the blank with whatever 1279 01:06:40,440 --> 01:06:44,040 Speaker 1: Justice Democrat, they're now corrupt just like Nancy Pelosi. No 1280 01:06:44,280 --> 01:06:47,240 Speaker 1: words have meaning. The word corrupt means something very specific. 1281 01:06:47,360 --> 01:06:49,520 Speaker 1: You're taking money from certain donors and you're doing favors 1282 01:06:49,520 --> 01:06:52,080 Speaker 1: for them. That's what corrupt means. They're not doing that, 1283 01:06:52,160 --> 01:06:53,960 Speaker 1: they're not corrupt. They're just simply not the same as 1284 01:06:54,040 --> 01:06:56,360 Speaker 1: Nancy Pelosi. So you're fucking factually wrong if you make 1285 01:06:56,400 --> 01:07:00,480 Speaker 1: that case. But they do have DC brain, which is 1286 01:07:00,520 --> 01:07:03,720 Speaker 1: basically a rotten brain. Where you get there and you're 1287 01:07:03,880 --> 01:07:06,600 Speaker 1: now you're involved in the culture. You're surrounded by these people. 1288 01:07:06,600 --> 01:07:08,440 Speaker 1: These are people you fucking eat lunch with and see 1289 01:07:08,480 --> 01:07:10,520 Speaker 1: every day and you learn your personal stories, and so 1290 01:07:10,600 --> 01:07:13,280 Speaker 1: now the group thing takes over, and you don't want 1291 01:07:13,280 --> 01:07:15,280 Speaker 1: to be the sore thumb that sticks out the game. 1292 01:07:16,080 --> 01:07:17,560 Speaker 1: You don't want to be the sore thumb that sticks 1293 01:07:17,600 --> 01:07:19,280 Speaker 1: out because guess what if you do the sort of 1294 01:07:19,280 --> 01:07:22,400 Speaker 1: grandstanding fighting politics that I want you to do, everybody's 1295 01:07:22,400 --> 01:07:24,440 Speaker 1: gonna fucking hate everybody in DC's gonna hate you. Everybody 1296 01:07:24,440 --> 01:07:26,080 Speaker 1: in the media is gonna hit you. It's a lonely 1297 01:07:26,120 --> 01:07:28,680 Speaker 1: fucking world. So guess what. That's where the individual failing 1298 01:07:28,720 --> 01:07:31,280 Speaker 1: comes in. Because even though it's really hard and you're 1299 01:07:31,320 --> 01:07:33,520 Speaker 1: really pushed in the direction of don't do anything, don't 1300 01:07:33,560 --> 01:07:36,760 Speaker 1: rock the boat, that's why we sent you there. So 1301 01:07:36,840 --> 01:07:39,040 Speaker 1: you have to stand up and fight. You have to 1302 01:07:39,080 --> 01:07:41,160 Speaker 1: be willing to be hated by all of them. I'll 1303 01:07:41,200 --> 01:07:43,640 Speaker 1: just say again, the tea party didn't give a shit 1304 01:07:43,880 --> 01:07:46,800 Speaker 1: and they were fine all they actually Joe you remember 1305 01:07:46,880 --> 01:07:49,760 Speaker 1: Joe Wilson, the guy who shouted you lie. He made 1306 01:07:49,800 --> 01:07:52,720 Speaker 1: a million dollars in a single day. So politically this 1307 01:07:52,800 --> 01:07:55,640 Speaker 1: strategy works. You just actually have to be willing to 1308 01:07:55,640 --> 01:07:58,280 Speaker 1: fight for something. So anyways, Kyle, we really appreciate your 1309 01:07:58,320 --> 01:08:01,600 Speaker 1: joining us, man. I think the reflections on just Democrats 1310 01:08:01,680 --> 01:08:04,280 Speaker 1: and just hooking it to the stimulus checks and what 1311 01:08:04,320 --> 01:08:07,200 Speaker 1: it does tell us about politics today. Really enjoy the discussion. Thanks, 1312 01:08:07,240 --> 01:08:09,120 Speaker 1: thank you very much, I appreciate it, and congrats on 1313 01:08:09,160 --> 01:08:12,280 Speaker 1: your guys. Appreciative launch and success. Thanks thank you Kyle. 1314 01:08:12,840 --> 01:08:14,880 Speaker 1: Thanks to Kyle, and of course you can check out 1315 01:08:14,880 --> 01:08:17,160 Speaker 1: our podcast. Crystal Kyle and friends. We'll put that in 1316 01:08:17,160 --> 01:08:19,920 Speaker 1: the description box. You can sub on substack. Thank you 1317 01:08:19,960 --> 01:08:23,440 Speaker 1: guys so much for watching. We have a little surprise 1318 01:08:23,640 --> 01:08:26,719 Speaker 1: for you tomorrow. We're going to have a slightly different 1319 01:08:26,720 --> 01:08:29,519 Speaker 1: show tomorrow, but you will, we will post, you'll get 1320 01:08:29,520 --> 01:08:32,800 Speaker 1: your fix. We promise it's coming. But yeah, we have 1321 01:08:33,080 --> 01:08:36,280 Speaker 1: very exciting something that we're going to reveal tomorrow, so 1322 01:08:36,280 --> 01:08:38,639 Speaker 1: make sure you tune in for that all of that. 1323 01:08:38,680 --> 01:08:40,880 Speaker 1: As just as you guys know, you can watch the 1324 01:08:40,880 --> 01:08:43,800 Speaker 1: full show uncut if you become a Premium member. Thank you. 1325 01:08:43,920 --> 01:08:46,599 Speaker 1: Shout out to all those Premium members that are already there. 1326 01:08:46,640 --> 01:08:48,400 Speaker 1: The link is down there in the description notes. You 1327 01:08:48,439 --> 01:08:51,479 Speaker 1: get to listen to it ad without breaks as a 1328 01:08:51,520 --> 01:08:54,600 Speaker 1: podcast as well, and you get it and early, sometimes 1329 01:08:54,760 --> 01:08:56,720 Speaker 1: more than an hour early whenever we actually get our 1330 01:08:56,720 --> 01:08:59,280 Speaker 1: stuff process. Go ahead and check out the free version 1331 01:08:59,280 --> 01:09:02,360 Speaker 1: of the podcast. That's how you like to consume it. 1332 01:09:02,439 --> 01:09:05,000 Speaker 1: We are beating the New York Times number three in 1333 01:09:05,120 --> 01:09:08,640 Speaker 1: the country right now on Spotify, you guys on the 1334 01:09:08,680 --> 01:09:11,120 Speaker 1: back of that. Honestly, pat everybody, it's not us, it's 1335 01:09:11,120 --> 01:09:14,400 Speaker 1: all you And as always, powered by Supercast, great Technolo. 1336 01:09:14,479 --> 01:09:16,559 Speaker 1: We really appreciate that shout out to them, and we 1337 01:09:16,600 --> 01:10:01,040 Speaker 1: will see you guys tomorrow, See you guys tomorrow.