1 00:00:00,680 --> 00:00:04,560 Speaker 1: Good morning, everybody, Happy Tuesday. We have an amazing show 2 00:00:04,600 --> 00:00:07,640 Speaker 1: for everybody today. What is going on? Indeed, we do 3 00:00:07,960 --> 00:00:10,639 Speaker 1: what's happening. We got rid of Sager's desk. That's right, 4 00:00:11,400 --> 00:00:14,480 Speaker 1: We actually down We actually got all these premium memberships 5 00:00:14,480 --> 00:00:17,040 Speaker 1: and we decided that we're going to downgrade. Anna. Yeah, 6 00:00:17,079 --> 00:00:20,000 Speaker 1: we we sold off this ever scrap No, just kidding. Okay, 7 00:00:20,079 --> 00:00:22,200 Speaker 1: So this is there's actually a good reason why the 8 00:00:22,239 --> 00:00:25,720 Speaker 1: set looks a little different and we're a little cozy today, 9 00:00:25,760 --> 00:00:29,040 Speaker 1: which is that we are down in Austin, Texas. The 10 00:00:29,120 --> 00:00:31,240 Speaker 1: reason we are down in Austin, Texas, as you might 11 00:00:31,280 --> 00:00:33,080 Speaker 1: be able to guess, is because we are going on 12 00:00:33,200 --> 00:00:35,960 Speaker 1: with Joe Rogan, so we're getting ready for that. But 13 00:00:36,040 --> 00:00:38,120 Speaker 1: we still wanted to do a show for you guys, 14 00:00:38,200 --> 00:00:40,920 Speaker 1: especially since this whole thing is brand new. It will 15 00:00:40,960 --> 00:00:42,760 Speaker 1: be a little bit of a different show. We're just 16 00:00:42,800 --> 00:00:44,159 Speaker 1: going to go through a few of the stories that 17 00:00:44,200 --> 00:00:46,120 Speaker 1: we thought were really important. There's some stuff that we 18 00:00:46,159 --> 00:00:48,400 Speaker 1: did not want to miss miss, so we will bring 19 00:00:48,440 --> 00:00:51,360 Speaker 1: that to you. And as in terms of the schedule 20 00:00:51,400 --> 00:00:53,080 Speaker 1: for the week, it's also a little bit different. So 21 00:00:53,400 --> 00:00:56,640 Speaker 1: I okay, so today we're doing a little bit of 22 00:00:56,680 --> 00:01:01,360 Speaker 1: an abbreviated show Thursday, and we would normally do another show. 23 00:01:01,400 --> 00:01:04,440 Speaker 1: We have something a special surprise that we will be 24 00:01:04,440 --> 00:01:07,319 Speaker 1: bringing you, so stay tuned for that. And then normally 25 00:01:07,360 --> 00:01:10,039 Speaker 1: we would not do a Friday show, But because Sager 26 00:01:10,120 --> 00:01:13,800 Speaker 1: will be going through desk withdrawal, we're gonna get back 27 00:01:13,800 --> 00:01:16,800 Speaker 1: in the studio on Friday do a full show for 28 00:01:16,959 --> 00:01:19,640 Speaker 1: you with our monologue and our guests and all the 29 00:01:19,959 --> 00:01:22,039 Speaker 1: stuff that you're used to. So that's what's going on. Yeah, 30 00:01:22,040 --> 00:01:24,080 Speaker 1: I gotta put my hands on her, make sure she's clean, 31 00:01:24,280 --> 00:01:26,600 Speaker 1: sure they haven't screwed with it, make sure we're haven't 32 00:01:26,600 --> 00:01:28,920 Speaker 1: screwed with it. While we're gone with Eric. By the way, 33 00:01:28,959 --> 00:01:30,760 Speaker 1: I'm watching you guys like a hawk. I like that 34 00:01:30,840 --> 00:01:33,000 Speaker 1: you decided the desk is female. Oh yeah, no, there 35 00:01:33,000 --> 00:01:34,840 Speaker 1: you go. So it's like a ship, you know, it's 36 00:01:34,840 --> 00:01:36,759 Speaker 1: like a car, it's like something. It's like an attachment. 37 00:01:37,360 --> 00:01:39,880 Speaker 1: Here's the thing. So it's been fun. By the way, 38 00:01:39,959 --> 00:01:42,000 Speaker 1: shout out to all of you who saw us on 39 00:01:42,040 --> 00:01:43,800 Speaker 1: the street here and you're like, I know why you're here, 40 00:01:43,800 --> 00:01:47,400 Speaker 1: and I'm like, oh, you don't. Look, We've got awesome 41 00:01:47,440 --> 00:01:49,320 Speaker 1: stories here that we want to que up Obviously Biden 42 00:01:49,880 --> 00:01:52,440 Speaker 1: is abroad right now, and there's a lot to be 43 00:01:52,520 --> 00:01:56,080 Speaker 1: said about NATO and all the serious stuff here. But look, 44 00:01:56,120 --> 00:01:58,360 Speaker 1: to be honest, I mean, he does not look like 45 00:01:58,520 --> 00:02:01,480 Speaker 1: in decent shape. And this CLI in particular that came 46 00:02:01,520 --> 00:02:05,320 Speaker 1: across our radar so to speak, really just speaks volumes 47 00:02:05,360 --> 00:02:08,799 Speaker 1: where he screwed up the Syria and said Libya three 48 00:02:08,840 --> 00:02:12,520 Speaker 1: times in a row. It was incredibly meandering answer, very 49 00:02:12,600 --> 00:02:14,360 Speaker 1: very strange. Let's just go ahead and we'll take a 50 00:02:14,360 --> 00:02:18,400 Speaker 1: listen to that where we could work together with Russia, 51 00:02:18,480 --> 00:02:23,639 Speaker 1: for example, and in Libya we should be opening up 52 00:02:23,720 --> 00:02:29,040 Speaker 1: the passes to be able to go through and provide 53 00:02:30,120 --> 00:02:34,800 Speaker 1: food assistance and economics, I mean, vital assistance to a 54 00:02:34,840 --> 00:02:37,959 Speaker 1: population that's in real trouble. I think I'm going to 55 00:02:38,040 --> 00:02:41,560 Speaker 1: try very much hard to it is. By the way, 56 00:02:41,639 --> 00:02:46,359 Speaker 1: there's places where I shouldn't be starting off and negotiating 57 00:02:46,400 --> 00:02:48,160 Speaker 1: in public here. But let me say it this way. 58 00:02:51,160 --> 00:02:56,639 Speaker 1: Russia has engaged in activities which we believe our contrary 59 00:02:56,639 --> 00:03:03,639 Speaker 1: to international norms, but they have also uh bitten off 60 00:03:03,720 --> 00:03:06,360 Speaker 1: some real problems they're going to have trouble chewing on, 61 00:03:07,360 --> 00:03:12,919 Speaker 1: and for example, the rebuilding of of of Syria, of 62 00:03:12,919 --> 00:03:16,840 Speaker 1: of Libya, of you know this is they're there, and 63 00:03:17,000 --> 00:03:20,160 Speaker 1: as long as they're there without the ability to bring 64 00:03:20,200 --> 00:03:23,200 Speaker 1: about some order in the in the region. You can't 65 00:03:23,240 --> 00:03:26,720 Speaker 1: do that very well without providing for the basic economic 66 00:03:26,800 --> 00:03:30,240 Speaker 1: needs of people. So I'm hopeful that we can find 67 00:03:30,480 --> 00:03:34,000 Speaker 1: an accommodation that where we can save the lives of 68 00:03:34,040 --> 00:03:40,240 Speaker 1: people and for example and uh in Libya that Okay, 69 00:03:40,800 --> 00:03:43,000 Speaker 1: there's a lot going on there. Look, I'm not gonna 70 00:03:43,000 --> 00:03:45,240 Speaker 1: say Trump was the most articulate president ever, so everyone's 71 00:03:45,240 --> 00:03:47,440 Speaker 1: always like, what about trumplement, Yeah, he also couldn't form 72 00:03:47,480 --> 00:03:50,080 Speaker 1: a sentence, and it was rightly, like pretty embarrassing whenever 73 00:03:50,080 --> 00:03:53,040 Speaker 1: we were abroad, and it was bad. And I think 74 00:03:53,080 --> 00:03:56,760 Speaker 1: that look from a press perspective, it's obvious, gristle that 75 00:03:56,800 --> 00:03:58,960 Speaker 1: if this had happened in the Trump administration or really 76 00:03:58,960 --> 00:04:02,120 Speaker 1: any normal administry kind of like pre the great partisan 77 00:04:02,200 --> 00:04:05,400 Speaker 1: cheerleading of the media, that they would say this was crazy. 78 00:04:05,400 --> 00:04:08,720 Speaker 1: It was a disastrous answer here, right, And look, we're 79 00:04:08,760 --> 00:04:11,400 Speaker 1: not going after him because he's old, but we're saying, like, 80 00:04:11,440 --> 00:04:14,240 Speaker 1: this is the president of the United States, and it 81 00:04:14,320 --> 00:04:18,040 Speaker 1: is obvious to anybody that what's happening here or at 82 00:04:18,040 --> 00:04:19,800 Speaker 1: the very least. It was a bad day, right, and 83 00:04:19,920 --> 00:04:23,080 Speaker 1: yet there was zero coverage. It was like a complete blackout. 84 00:04:23,160 --> 00:04:25,760 Speaker 1: Instead they were like commenting on I also love the 85 00:04:25,839 --> 00:04:28,640 Speaker 1: Russophobia of the press being like, are you gonna stick 86 00:04:28,640 --> 00:04:31,119 Speaker 1: it to him, mister president, Like what are your red lines, 87 00:04:31,200 --> 00:04:34,520 Speaker 1: mister president? And he's like, verify but trust And I'm like, God, 88 00:04:34,640 --> 00:04:37,440 Speaker 1: like these people are they literally want to be at 89 00:04:37,480 --> 00:04:39,960 Speaker 1: war with Russia. But that's a whole other conversation. They 90 00:04:40,080 --> 00:04:43,440 Speaker 1: basically just memory hold that entire clip from what was 91 00:04:43,480 --> 00:04:48,080 Speaker 1: happening here. It really is a media story first and foremost, well, 92 00:04:48,200 --> 00:04:50,200 Speaker 1: first and foremost is the story about the fact that 93 00:04:50,520 --> 00:04:54,280 Speaker 1: you know, look, whatever you think of Biden, you have 94 00:04:54,360 --> 00:04:58,480 Speaker 1: to be honest about what his capabilities are at this point. 95 00:04:59,040 --> 00:05:01,840 Speaker 1: And you just would not have seen that performance from 96 00:05:01,920 --> 00:05:05,080 Speaker 1: him even five years ago, certainly when he was serving 97 00:05:05,120 --> 00:05:08,440 Speaker 1: as vice president in the Obama administration. And you say, 98 00:05:08,480 --> 00:05:10,560 Speaker 1: you know, the press would have covered it differently if 99 00:05:10,600 --> 00:05:13,560 Speaker 1: it was a different president. The press did cover this 100 00:05:13,640 --> 00:05:17,560 Speaker 1: differently before Biden was the Democratic nominee. Yeah, I mean, 101 00:05:17,800 --> 00:05:20,640 Speaker 1: they were some of the Glenn points us out routinely. 102 00:05:21,080 --> 00:05:24,360 Speaker 1: They were some of the most actually aggressive pointing out 103 00:05:24,360 --> 00:05:27,359 Speaker 1: some of these families. Remember Julianne Castro on the stage 104 00:05:27,360 --> 00:05:30,640 Speaker 1: being like, do you even remember what you said just now, Joe. 105 00:05:30,960 --> 00:05:35,560 Speaker 1: This was open fodder for conversation before he became the 106 00:05:35,600 --> 00:05:39,480 Speaker 1: only hope to defeat Donald Trump. And then they flipped 107 00:05:39,560 --> 00:05:42,839 Speaker 1: on a dime to if you say anything about this, 108 00:05:43,000 --> 00:05:45,760 Speaker 1: you're ablest you're going after him because of his stutter. 109 00:05:46,080 --> 00:05:48,159 Speaker 1: His stutter, I mean that's safe. That one. It makes 110 00:05:48,200 --> 00:05:50,440 Speaker 1: me so angry. I'm like, oh, he just magically had 111 00:05:50,440 --> 00:05:54,400 Speaker 1: a stutter that re like could itself Olviya and Syria 112 00:05:54,560 --> 00:05:58,040 Speaker 1: three times in ninety seconds. Isn't about a stutter? Okay, 113 00:05:58,400 --> 00:06:01,400 Speaker 1: So that doesn't mean that you shouldn't have voted for Biden. 114 00:06:01,440 --> 00:06:04,279 Speaker 1: That doesn't mean anything other than saying this was a 115 00:06:04,320 --> 00:06:06,800 Speaker 1: topic of conversation that was on the table before he 116 00:06:06,880 --> 00:06:09,520 Speaker 1: was Democratic nominee and it's off the table now. And 117 00:06:10,080 --> 00:06:12,880 Speaker 1: instead of just sort of like bashing Biden for this GAF, 118 00:06:12,920 --> 00:06:16,360 Speaker 1: we actually pulled some research here that an audience member 119 00:06:16,400 --> 00:06:19,400 Speaker 1: brought to our attention from Pew. They dug into the 120 00:06:19,440 --> 00:06:22,320 Speaker 1: first sixty days of the Biden administration to say, okay, well, 121 00:06:22,360 --> 00:06:26,440 Speaker 1: how did the coverage of this president compare to the 122 00:06:26,480 --> 00:06:30,720 Speaker 1: coverage of other presidents, and it's actually remarkable because Obama 123 00:06:30,880 --> 00:06:33,839 Speaker 1: famously got glowing press coverage, and in fact, if you 124 00:06:33,880 --> 00:06:37,800 Speaker 1: look at the numbers, Obama did get more positive coverage 125 00:06:37,920 --> 00:06:42,839 Speaker 1: than Biden, but Biden actually gets less negative coverage than Obama, 126 00:06:42,880 --> 00:06:46,760 Speaker 1: So Obama was covered slightly more negatively than Biden. And 127 00:06:46,839 --> 00:06:50,040 Speaker 1: the largest percentage of coverage, fifty four percent, is actually 128 00:06:50,080 --> 00:06:52,000 Speaker 1: just neutral, which is kind of consistent with the whole 129 00:06:52,040 --> 00:06:55,080 Speaker 1: like Biden is boring, like whatever, who really cares what 130 00:06:55,120 --> 00:06:57,520 Speaker 1: he's doing, Let's get back to the latest culture war battle. 131 00:06:57,520 --> 00:06:59,719 Speaker 1: It's kind of perfect for that. This actually, that's the 132 00:06:59,720 --> 00:07:02,320 Speaker 1: most important number to me. Is not just that he 133 00:07:02,320 --> 00:07:05,520 Speaker 1: has a nineteen percent negative assessment and a twenty seven 134 00:07:05,560 --> 00:07:08,479 Speaker 1: percent positive assessment. It's actually the fifty four which is 135 00:07:08,520 --> 00:07:10,720 Speaker 1: that it's just absence. It's like one of the most 136 00:07:10,840 --> 00:07:13,080 Speaker 1: I think, you know, important lines. I can't even remember 137 00:07:13,080 --> 00:07:14,920 Speaker 1: who I got it from, which is like, what's the 138 00:07:14,960 --> 00:07:17,840 Speaker 1: most important form of media bias is what they choose 139 00:07:17,920 --> 00:07:20,640 Speaker 1: not to show you? And this is it. It's things 140 00:07:20,680 --> 00:07:25,960 Speaker 1: like this. It's a gaff of any other president, actually, Bush, Clinton, Obama, 141 00:07:26,120 --> 00:07:28,160 Speaker 1: this would have been on the nightly news, and this 142 00:07:28,200 --> 00:07:31,040 Speaker 1: is just completely ignored, and there is a reason for that. 143 00:07:31,120 --> 00:07:34,600 Speaker 1: It isn't just about helping Biden out necessarily, It's that 144 00:07:34,680 --> 00:07:37,840 Speaker 1: it's all about a partisan agenda. It's like they literally 145 00:07:37,920 --> 00:07:41,320 Speaker 1: feel as if it's their duty not to report on news, 146 00:07:41,480 --> 00:07:44,920 Speaker 1: which is bad for mainstream Democrats. And Glenn actually pointed 147 00:07:44,920 --> 00:07:47,000 Speaker 1: this out, which is that he posted a clip of 148 00:07:47,400 --> 00:07:52,040 Speaker 1: NBC News anchors like Andrea Mitchell in twenty nineteen talking 149 00:07:52,040 --> 00:07:53,640 Speaker 1: to be like, you know, he just doesn't look the 150 00:07:53,680 --> 00:07:56,680 Speaker 1: same like he was up there. Check this one out 151 00:07:56,720 --> 00:07:59,040 Speaker 1: from jimill Smith, who's I think he's like a rolling stone. 152 00:07:59,080 --> 00:08:01,760 Speaker 1: He's like a total doc, an aero Democrat. I'm no doctor, 153 00:08:01,840 --> 00:08:03,840 Speaker 1: and I had a family member whose dementia contributed to 154 00:08:03,880 --> 00:08:05,760 Speaker 1: his death. I will be one of the last ones 155 00:08:05,800 --> 00:08:09,160 Speaker 1: here speculating wildly about Biden's cognitive abilities relative his age. 156 00:08:09,240 --> 00:08:12,360 Speaker 1: But his campaign is irresponsible to let this go unexplained 157 00:08:12,680 --> 00:08:16,800 Speaker 1: or undiagnosed, if the case may be. So it's an 158 00:08:16,880 --> 00:08:20,600 Speaker 1: open form of discussion until he wins the Democratic nomination, 159 00:08:20,920 --> 00:08:26,000 Speaker 1: and the neither segment there around Biden is so incredibly important, 160 00:08:26,120 --> 00:08:30,320 Speaker 1: combined with the nineteen percent only of negative assessment. How 161 00:08:30,440 --> 00:08:33,000 Speaker 1: you manage to get less negative press than Obama. That's 162 00:08:33,000 --> 00:08:36,640 Speaker 1: a skill. That's like, actually, that's an actual skill. I 163 00:08:36,640 --> 00:08:39,320 Speaker 1: don't even know his press. Yeah, I guess, look like 164 00:08:39,400 --> 00:08:41,320 Speaker 1: you know, and hey, like the press stop making us 165 00:08:41,360 --> 00:08:44,360 Speaker 1: pretend that like Jen Saki's the greatest woman who's ever 166 00:08:44,400 --> 00:08:46,400 Speaker 1: taking the podium. I mean, look, there have been some 167 00:08:46,440 --> 00:08:49,000 Speaker 1: good female press secretaries and she's not one of them. Like, 168 00:08:49,080 --> 00:08:51,959 Speaker 1: let's be honest here, you know, incredibly boring. It's also 169 00:08:52,120 --> 00:08:55,760 Speaker 1: so this same research from Q is very revealing in 170 00:08:55,800 --> 00:09:00,560 Speaker 1: another way too, because they quantified Biden versus Trump and 171 00:09:00,640 --> 00:09:04,720 Speaker 1: the types of stories that the press covered too. So 172 00:09:04,840 --> 00:09:09,080 Speaker 1: with Trump, seventy four percent of the stories that media 173 00:09:09,120 --> 00:09:13,199 Speaker 1: outlets were covering were about his leadership and character. Only 174 00:09:13,240 --> 00:09:17,240 Speaker 1: twenty six percent were about his policy agenda. For Biden, 175 00:09:17,320 --> 00:09:21,440 Speaker 1: it's almost completely flipped. So thirty five percent is about 176 00:09:21,720 --> 00:09:25,920 Speaker 1: leadership and character and sixty five percent is about policy. 177 00:09:26,200 --> 00:09:29,240 Speaker 1: And here's the thing. I actually think that's that's the 178 00:09:29,240 --> 00:09:32,319 Speaker 1: better mix, right, That is actually the better mix where 179 00:09:32,600 --> 00:09:37,200 Speaker 1: you're taking these just like subjective personality opinions out of 180 00:09:37,240 --> 00:09:39,720 Speaker 1: the mix and just looking at, okay, what is the 181 00:09:39,760 --> 00:09:44,480 Speaker 1: policy actually, but the irony here is that they thought 182 00:09:44,520 --> 00:09:48,120 Speaker 1: they were launching really effective attacks against Donald Trump by 183 00:09:48,160 --> 00:09:52,319 Speaker 1: making everything about leadership and character. But in fact, if 184 00:09:52,360 --> 00:09:55,520 Speaker 1: they had focused on the way he was selling out 185 00:09:55,559 --> 00:09:58,560 Speaker 1: his values that he supposedly believed in and his core 186 00:09:58,640 --> 00:10:01,480 Speaker 1: principles and selling out his his own voters, if they 187 00:10:01,480 --> 00:10:05,240 Speaker 1: had focused more on his actual policy agenda, I think 188 00:10:05,240 --> 00:10:07,640 Speaker 1: they would have been way more successful in sort of 189 00:10:07,720 --> 00:10:11,240 Speaker 1: dimming his popularity. He would have taken on much more water. Instead, 190 00:10:11,280 --> 00:10:13,960 Speaker 1: they went with what you know, if it's one person's 191 00:10:13,960 --> 00:10:16,800 Speaker 1: opinion about a person's character is as good as you know, 192 00:10:17,120 --> 00:10:18,679 Speaker 1: as good as the napkin, you can write it off. 193 00:10:18,720 --> 00:10:21,719 Speaker 1: It's fascinating because I actually had this conversation today. I 194 00:10:21,760 --> 00:10:23,480 Speaker 1: had an Uber driver who was like, oh, watch you 195 00:10:23,520 --> 00:10:25,960 Speaker 1: guys shows big pro Trump guy and he's like, you know, 196 00:10:26,760 --> 00:10:28,720 Speaker 1: you said something that bothered me. And I was like, okay, 197 00:10:28,920 --> 00:10:30,760 Speaker 1: what was it? And he was like, look, it's that 198 00:10:30,840 --> 00:10:33,360 Speaker 1: you said that Trump was a bad president. He's like, 199 00:10:33,400 --> 00:10:36,160 Speaker 1: and you're not factoring in all of the stuff he 200 00:10:36,240 --> 00:10:37,680 Speaker 1: was up against. And I was like, well, what do 201 00:10:37,679 --> 00:10:39,600 Speaker 1: you mean by that? And he's like the media they 202 00:10:39,679 --> 00:10:41,640 Speaker 1: just never gave him a fair shot. And I was like, well, 203 00:10:41,640 --> 00:10:43,000 Speaker 1: what do you mean by that? And he was like, 204 00:10:43,200 --> 00:10:45,360 Speaker 1: you know, they're going after you know, his wife and 205 00:10:45,400 --> 00:10:47,960 Speaker 1: his kids. And I mean the ivonn GOA Jared stuff 206 00:10:48,040 --> 00:10:50,400 Speaker 1: is legit since he literally hired them. But I think 207 00:10:50,440 --> 00:10:52,480 Speaker 1: what you're getting at is exactly that, which is that 208 00:10:52,559 --> 00:10:55,200 Speaker 1: it actually hardened support for a lot of the key people, 209 00:10:55,559 --> 00:10:58,880 Speaker 1: whereas if there had been a discussion about I don't know, 210 00:10:58,960 --> 00:11:02,800 Speaker 1: the twenty seventeen law about giving a massive corporate giveaway, 211 00:11:02,880 --> 00:11:06,720 Speaker 1: yeah whenever you know he ran against corporations, or about 212 00:11:07,040 --> 00:11:09,120 Speaker 1: you know the fact that he basically wanted to strike 213 00:11:09,160 --> 00:11:11,560 Speaker 1: a quote unquote deal with China in many cases for 214 00:11:11,679 --> 00:11:15,760 Speaker 1: esthetic purposes rather than for effective purposes. Or why didn't 215 00:11:15,800 --> 00:11:18,800 Speaker 1: we have steel tariffs until a year into the administration 216 00:11:18,880 --> 00:11:22,120 Speaker 1: because he hired an idiot named Gary Kohane. All of 217 00:11:22,160 --> 00:11:25,679 Speaker 1: these things have immense impact on people's lives and they 218 00:11:25,720 --> 00:11:28,319 Speaker 1: have no idea, And I don't blame them. It's not 219 00:11:28,440 --> 00:11:31,800 Speaker 1: their job. Like these people are out working hard, driving, 220 00:11:32,080 --> 00:11:35,199 Speaker 1: probably not for a good enough wage, and all they 221 00:11:35,240 --> 00:11:38,040 Speaker 1: turn on and here every day is oh, he's such 222 00:11:38,040 --> 00:11:40,280 Speaker 1: a venal person or oh he's such this, and what 223 00:11:40,280 --> 00:11:42,679 Speaker 1: do they hear about Biden. It's more the same. They're like, oh, 224 00:11:42,720 --> 00:11:44,760 Speaker 1: he's such a good man, he's such a good husband. Like, look, 225 00:11:44,800 --> 00:11:46,960 Speaker 1: I think it's great. You know, the guy obviously clearly 226 00:11:47,000 --> 00:11:49,199 Speaker 1: loves his wife and that's awesome. But I don't want 227 00:11:49,200 --> 00:11:51,760 Speaker 1: to hear about it every day, Like, Oh, he's so awesome, 228 00:11:51,800 --> 00:11:54,600 Speaker 1: he's the best grandfather. He's so nice because he texts 229 00:11:54,760 --> 00:11:56,800 Speaker 1: Hunter or whatever. I'm like, yeah, that's great man, Like 230 00:11:56,840 --> 00:11:59,560 Speaker 1: you look like a great father and like truly, God 231 00:11:59,600 --> 00:12:01,719 Speaker 1: bless you for it. Same with Obama, like you were 232 00:12:01,720 --> 00:12:05,440 Speaker 1: obviously a good dude, but like what does that mean 233 00:12:05,600 --> 00:12:08,480 Speaker 1: in terms of what you're actually doing? And there's just 234 00:12:08,679 --> 00:12:11,000 Speaker 1: it's the neither part of it is just what bothers 235 00:12:11,000 --> 00:12:13,120 Speaker 1: me the most. Well just they it's like they memory hole. 236 00:12:13,160 --> 00:12:16,880 Speaker 1: It just disappeared. And the irony is right wing media 237 00:12:17,200 --> 00:12:20,040 Speaker 1: tried the same thing with Obama. Yes, when he was president, 238 00:12:20,120 --> 00:12:23,600 Speaker 1: it was all about like remember a million segments about 239 00:12:23,679 --> 00:12:26,040 Speaker 1: his failure to lead and you just look at that 240 00:12:26,080 --> 00:12:28,120 Speaker 1: and you're like, what does that even mean? Like if 241 00:12:28,160 --> 00:12:30,760 Speaker 1: you have a specific critique about what he's doing or 242 00:12:30,800 --> 00:12:33,400 Speaker 1: what his policies, let's hear it. Let's have a debate 243 00:12:33,440 --> 00:12:36,400 Speaker 1: about it. Let's have it out right, But it was 244 00:12:36,440 --> 00:12:39,520 Speaker 1: all about he's failing to lead. It's like, okay, well 245 00:12:39,559 --> 00:12:42,240 Speaker 1: guess what, he just got reelected again. But rather than 246 00:12:42,280 --> 00:12:44,600 Speaker 1: Democrats looking at that and being like that didn't work 247 00:12:44,640 --> 00:12:46,880 Speaker 1: out all that well for the right, maybe we should 248 00:12:46,920 --> 00:12:50,440 Speaker 1: try a different tack, they never ever learned that. And 249 00:12:50,480 --> 00:12:54,720 Speaker 1: in fact, we talked about that recent Democratic autopsy, which 250 00:12:54,720 --> 00:12:56,520 Speaker 1: parts of it were kind of suspect it came from 251 00:12:56,559 --> 00:13:00,160 Speaker 1: third way grain of salt, you know, the takeaways always 252 00:13:00,160 --> 00:13:02,480 Speaker 1: got to be like, it's the left's fault. But one 253 00:13:02,520 --> 00:13:04,760 Speaker 1: of the things that they concluded as well, which they 254 00:13:04,800 --> 00:13:07,880 Speaker 1: had the data to back up, was that Democrats went 255 00:13:07,960 --> 00:13:13,120 Speaker 1: too far on just Trump's personality. Trump's character. My god, 256 00:13:13,160 --> 00:13:15,720 Speaker 1: you would have thought they learned that back in twenty sixteen, 257 00:13:15,840 --> 00:13:18,640 Speaker 1: Jesus Christ. But they never learned. And the bottom line is, 258 00:13:18,679 --> 00:13:21,880 Speaker 1: I mean, ultimately, whether he won or lost, their jobs 259 00:13:21,880 --> 00:13:23,679 Speaker 1: were going to be secure. Some of these people never 260 00:13:23,720 --> 00:13:26,280 Speaker 1: got richer than during the Trump era, so it wasn't 261 00:13:26,280 --> 00:13:28,920 Speaker 1: all that high stakes for them ultimately. But I thought 262 00:13:28,920 --> 00:13:33,600 Speaker 1: those numbers about what the stories actually focus on were fascinating. 263 00:13:33,640 --> 00:13:37,760 Speaker 1: They also dug into, like the policy, the particular pieces 264 00:13:37,760 --> 00:13:41,640 Speaker 1: of policy that they focused on. So during Trump, when 265 00:13:41,679 --> 00:13:46,240 Speaker 1: the economy was doing well, relatively strong. I mean, listen, 266 00:13:46,240 --> 00:13:49,080 Speaker 1: the American economy always sucks for most people, but you know, 267 00:13:49,160 --> 00:13:52,120 Speaker 1: with the top line metrics, economy is doing well. Two 268 00:13:52,160 --> 00:13:55,600 Speaker 1: percent of stories focused on the economy. With Biden, it's 269 00:13:55,800 --> 00:13:58,800 Speaker 1: twenty two percent. Now. On the one hand, I do 270 00:13:58,840 --> 00:14:00,960 Speaker 1: think there would be a justify vocation for there to 271 00:14:01,040 --> 00:14:04,360 Speaker 1: be more economic stories right now because of COVID, because 272 00:14:04,360 --> 00:14:06,800 Speaker 1: we're coming on, we got the relief package, all that stuff, Like, 273 00:14:06,840 --> 00:14:10,000 Speaker 1: I do think that makes sense. But in no era 274 00:14:10,440 --> 00:14:14,880 Speaker 1: should the economy be getting two percent of the story 275 00:14:14,880 --> 00:14:18,480 Speaker 1: time because it's always central to people's lives. It's always 276 00:14:18,920 --> 00:14:22,000 Speaker 1: the key story, determining what you're going to be able 277 00:14:22,000 --> 00:14:24,360 Speaker 1: to do that day, what your prospects look like for 278 00:14:24,440 --> 00:14:26,880 Speaker 1: you and your family in the future. The flip side 279 00:14:26,880 --> 00:14:29,640 Speaker 1: of that is the number one type of story that 280 00:14:29,680 --> 00:14:34,120 Speaker 1: they covered for Trump was his political skills. Yeah, so again, 281 00:14:34,200 --> 00:14:36,760 Speaker 1: these like squishy things that you would have been better 282 00:14:37,280 --> 00:14:40,400 Speaker 1: off if your goal was to hurt Trump. To actually 283 00:14:40,440 --> 00:14:42,960 Speaker 1: talk about his policy show. It makes me fascinating. It 284 00:14:42,960 --> 00:14:44,960 Speaker 1: makes me so angry because it's like, what you're talking 285 00:14:45,000 --> 00:14:48,040 Speaker 1: about about, how much money that these people made MSNBC. 286 00:14:48,200 --> 00:14:51,000 Speaker 1: I mean Rick Wilson literally wrote and made millions of 287 00:14:51,040 --> 00:14:54,240 Speaker 1: dollars writing books like Everything Trump Touches Dies, and all 288 00:14:54,240 --> 00:14:56,800 Speaker 1: these guys who like once had met him in New 289 00:14:56,920 --> 00:14:59,200 Speaker 1: York would write a book about how he's a bad 290 00:14:59,240 --> 00:15:01,880 Speaker 1: business man or what which, like maybe it's true, but 291 00:15:02,240 --> 00:15:05,400 Speaker 1: I mean they were all just making endless cash and 292 00:15:05,560 --> 00:15:09,280 Speaker 1: MSNBC would invite them on Nightly and give their platform 293 00:15:09,320 --> 00:15:12,480 Speaker 1: and just advertise it over and over and over again 294 00:15:12,520 --> 00:15:15,440 Speaker 1: and focus on the personal characteristics of the precedent. And 295 00:15:15,480 --> 00:15:19,760 Speaker 1: then after setting that precedent for what five years almost 296 00:15:19,800 --> 00:15:23,200 Speaker 1: straight given the campaign now with Biden around, it's just gone. 297 00:15:23,320 --> 00:15:27,680 Speaker 1: It's just completely ignored. And given how much credibility they've 298 00:15:27,720 --> 00:15:30,800 Speaker 1: lost with people, given how much that I have seen 299 00:15:31,000 --> 00:15:33,840 Speaker 1: in terms of how people are just tuning them out 300 00:15:33,920 --> 00:15:36,840 Speaker 1: to the tune of millions, I mean millions and millions 301 00:15:36,840 --> 00:15:39,200 Speaker 1: of people just turning off the TV. It can be 302 00:15:39,240 --> 00:15:42,120 Speaker 1: a positive development. They have nobody but themselves to blame, 303 00:15:42,280 --> 00:15:43,800 Speaker 1: but they did a lot of damage to this country 304 00:15:43,800 --> 00:15:45,880 Speaker 1: in the process, and they really can't be forgiven for that. 305 00:15:46,240 --> 00:15:48,960 Speaker 1: I think that is very true. Okay, So another story 306 00:15:48,960 --> 00:15:51,320 Speaker 1: we're looking at There's actually a lot of interesting going 307 00:15:51,320 --> 00:15:54,080 Speaker 1: on with this. We've been covering now for quite a 308 00:15:54,120 --> 00:15:57,680 Speaker 1: while about the wild housing market. I did a radar 309 00:15:57,720 --> 00:16:00,280 Speaker 1: back when we were rising about this Wall Street Journal 310 00:16:00,400 --> 00:16:02,920 Speaker 1: article pointing out that now if you sell your home, 311 00:16:03,160 --> 00:16:06,360 Speaker 1: very likely that permanent capital is going to be the buyer. 312 00:16:06,440 --> 00:16:09,480 Speaker 1: They're coming in with all cash, they're outbidding a first 313 00:16:09,520 --> 00:16:12,320 Speaker 1: time attempted to home buyers. They profile this couple that's 314 00:16:12,360 --> 00:16:14,440 Speaker 1: like trying and trying to buy a house. It's in 315 00:16:14,480 --> 00:16:18,160 Speaker 1: some I mean it's in like Allentown, Pennsylvania's not a major, 316 00:16:18,240 --> 00:16:21,280 Speaker 1: major metro area, but this had come to small towns 317 00:16:21,280 --> 00:16:24,040 Speaker 1: and they had this stat in here about how one 318 00:16:24,160 --> 00:16:28,200 Speaker 1: fifth of the buyers of single family homes are now 319 00:16:28,360 --> 00:16:31,760 Speaker 1: permanent capital, private equity in particular. And there was a 320 00:16:31,800 --> 00:16:34,080 Speaker 1: tweet about this, this article that's been out for a 321 00:16:34,160 --> 00:16:37,480 Speaker 1: while and specifically focused on black Rock that just went 322 00:16:38,120 --> 00:16:41,880 Speaker 1: wildly viral on the internet. So that's the first layer 323 00:16:41,920 --> 00:16:43,080 Speaker 1: of the story, and then we'll get to some of 324 00:16:43,120 --> 00:16:46,520 Speaker 1: the right wing reaction to it. That's also interesting. But 325 00:16:46,640 --> 00:16:48,680 Speaker 1: it was just it was fascinating to see how this 326 00:16:48,800 --> 00:16:52,280 Speaker 1: story that's been out there bubbling under the surface for 327 00:16:52,320 --> 00:16:56,920 Speaker 1: a while just completely exploded on the internet because people 328 00:16:56,960 --> 00:16:59,240 Speaker 1: are experiencing this in their own lives and in their 329 00:16:59,240 --> 00:17:01,600 Speaker 1: own neighborhoods. I mean, yeah, listen, if you're trying to 330 00:17:01,600 --> 00:17:03,800 Speaker 1: sell a house, people are coming in with good free 331 00:17:03,920 --> 00:17:07,439 Speaker 1: cash offers, etc. That's a great deal for you. But 332 00:17:07,520 --> 00:17:09,399 Speaker 1: for a long time are being sold this narrative that 333 00:17:09,440 --> 00:17:12,119 Speaker 1: the reason housing prices were going up is because the 334 00:17:12,160 --> 00:17:14,840 Speaker 1: professional manager old class were making different choices and they 335 00:17:14,840 --> 00:17:17,199 Speaker 1: were buying up homes, et cetera. Et No, come to 336 00:17:17,280 --> 00:17:21,399 Speaker 1: find out, this is a bubble that permanent capital is 337 00:17:21,440 --> 00:17:24,680 Speaker 1: inflating and then also profiting off of in a bid 338 00:17:24,720 --> 00:17:28,200 Speaker 1: to basically become America's landlord. And that is a terrifying 339 00:17:28,240 --> 00:17:29,919 Speaker 1: state of honer. No, it is, and this is what 340 00:17:30,000 --> 00:17:32,600 Speaker 1: I want to very just lay it out for people. 341 00:17:32,680 --> 00:17:36,359 Speaker 1: What is happening here is not free market capitalism, because 342 00:17:36,359 --> 00:17:39,320 Speaker 1: what's happening here is you have these private equity giants 343 00:17:39,320 --> 00:17:43,119 Speaker 1: and more which have made billions of dollars during the pandemic. 344 00:17:43,440 --> 00:17:46,320 Speaker 1: Now they're not getting into the housing market to enrich 345 00:17:46,359 --> 00:17:49,879 Speaker 1: the community. They're not going to sell that house eventually. 346 00:17:50,160 --> 00:17:55,720 Speaker 1: This is about permanent creating a permanent middle class rentier class, 347 00:17:55,880 --> 00:17:58,240 Speaker 1: the worst thing that they've ever lost out on. Remember, 348 00:17:58,480 --> 00:18:01,439 Speaker 1: poor are already extracted to the tune of hundreds of 349 00:18:01,440 --> 00:18:03,719 Speaker 1: billions of dollars in terms of late fees and all 350 00:18:03,720 --> 00:18:05,520 Speaker 1: these other things that landlords have been able to go 351 00:18:05,560 --> 00:18:08,040 Speaker 1: after them for a long time. But the middle class, 352 00:18:08,040 --> 00:18:10,720 Speaker 1: the American dream has always been okay, if you save 353 00:18:10,800 --> 00:18:13,280 Speaker 1: up a moderate amount of cash over about a five 354 00:18:13,320 --> 00:18:15,720 Speaker 1: to ten year period, you can put a down payment 355 00:18:15,760 --> 00:18:18,080 Speaker 1: on a reasonable house. You can buy that house. You 356 00:18:18,119 --> 00:18:20,720 Speaker 1: can achieve your dream. You can have property, which is 357 00:18:20,760 --> 00:18:23,960 Speaker 1: the single largest purveyor of intergenerational wealth, which gives your 358 00:18:24,040 --> 00:18:26,399 Speaker 1: kids a shot at having a better life than you. 359 00:18:26,720 --> 00:18:29,240 Speaker 1: Ak why we all live in this country, all right. 360 00:18:29,320 --> 00:18:31,240 Speaker 1: So all that being said, they don't want any of that. 361 00:18:31,400 --> 00:18:35,360 Speaker 1: They want it's very profitable to have monthly rent payments 362 00:18:35,440 --> 00:18:38,439 Speaker 1: hit their bank accounts. So they weren't very willing to 363 00:18:38,520 --> 00:18:42,199 Speaker 1: pay one hundred two hundred k over asking price and 364 00:18:42,320 --> 00:18:45,720 Speaker 1: buy up all of these new neighborhoods because what they 365 00:18:45,760 --> 00:18:49,120 Speaker 1: want is to create a lower and middle rentier class 366 00:18:49,240 --> 00:18:52,880 Speaker 1: which is paying them, and then they can use more 367 00:18:52,920 --> 00:18:55,160 Speaker 1: of the money that they're getting in this feedback loop 368 00:18:55,280 --> 00:18:58,760 Speaker 1: to pay even higher for prices and drive out average 369 00:18:58,800 --> 00:19:01,720 Speaker 1: middle class consumers. So all of that being said, who 370 00:19:01,720 --> 00:19:04,600 Speaker 1: do you think is coming to their defense? Because you 371 00:19:04,720 --> 00:19:07,920 Speaker 1: know their lackeys have to do it. Oh well one 372 00:19:07,960 --> 00:19:11,080 Speaker 1: of them, Ben Shapiro. And look, I love this because 373 00:19:11,359 --> 00:19:13,239 Speaker 1: Ben every once in a while just takes off the 374 00:19:13,240 --> 00:19:15,080 Speaker 1: mask and shows us like how much of an actual 375 00:19:15,200 --> 00:19:17,880 Speaker 1: radical that he is. Yeah, that's true. Here's what he says. 376 00:19:17,920 --> 00:19:20,679 Speaker 1: I see many people are enraged at Blackrock. Blackrock is 377 00:19:20,680 --> 00:19:23,000 Speaker 1: buying homes from people willing to sell them. If you 378 00:19:23,000 --> 00:19:26,280 Speaker 1: don't like what they're doing, target the loose governmental policy 379 00:19:26,600 --> 00:19:29,320 Speaker 1: incentivizing this investment. By the way, by this he means 380 00:19:29,440 --> 00:19:31,480 Speaker 1: the Federal Reserve, which has nothing to do with this. 381 00:19:31,760 --> 00:19:33,919 Speaker 1: And let's ask all Ben if he has anything to 382 00:19:33,960 --> 00:19:36,320 Speaker 1: do or would do anything whenever it comes to constraining 383 00:19:36,320 --> 00:19:39,920 Speaker 1: Wall Street. And I think we know the answer to that. Yes. Next, seriously, 384 00:19:40,000 --> 00:19:42,720 Speaker 1: Blackrock is going to stop investing in single handley homes 385 00:19:42,760 --> 00:19:45,560 Speaker 1: because you're mad on Twitter? You could direct your energies 386 00:19:45,600 --> 00:19:48,880 Speaker 1: towards the feds insane monetary policy. If you're mad at 387 00:19:48,920 --> 00:19:51,720 Speaker 1: Blackrock and you want to artificially prevent them from buying 388 00:19:51,800 --> 00:19:54,359 Speaker 1: single family homes. I'd like for you to explain it 389 00:19:54,400 --> 00:19:57,520 Speaker 1: to those who currently own the homes why you're taking 390 00:19:57,560 --> 00:20:00,280 Speaker 1: money out of their pocket. And this is really what 391 00:20:00,320 --> 00:20:02,840 Speaker 1: it is. He's like on the look, if I get it. 392 00:20:02,920 --> 00:20:05,160 Speaker 1: If you're selling your house, obviously you want the most 393 00:20:05,200 --> 00:20:07,919 Speaker 1: amount of money. I'm not mad at you. What I 394 00:20:07,960 --> 00:20:10,360 Speaker 1: am mad at is the fact that these private equity 395 00:20:10,400 --> 00:20:13,600 Speaker 1: giants got enriched again to the tune of hundreds of 396 00:20:13,680 --> 00:20:16,639 Speaker 1: billions over the last several over the last several months, 397 00:20:16,760 --> 00:20:20,199 Speaker 1: especially during this year. And I have a long term 398 00:20:20,359 --> 00:20:24,640 Speaker 1: dystopian vision. This is America. Property is the number one 399 00:20:24,720 --> 00:20:27,960 Speaker 1: way that you get rich. That's it. That's how it works. 400 00:20:28,040 --> 00:20:30,199 Speaker 1: I wish it was otherwise, but it is. And you 401 00:20:30,200 --> 00:20:33,280 Speaker 1: know what it is ingrained in our DNAs we're down 402 00:20:33,280 --> 00:20:36,000 Speaker 1: here in Texas. I would be remiss. This was flagged 403 00:20:36,000 --> 00:20:38,720 Speaker 1: to me. How hot is the Austin housing market? Shout 404 00:20:38,720 --> 00:20:43,200 Speaker 1: out to the Austin American statement homes are regularly selling 405 00:20:43,480 --> 00:20:48,320 Speaker 1: for one hundred k or more above asking. Fifteen hundred 406 00:20:48,359 --> 00:20:51,440 Speaker 1: Austin area homes from January first to May twenty third 407 00:20:51,840 --> 00:20:55,200 Speaker 1: sold for one hundred k above asking in the same 408 00:20:55,200 --> 00:20:58,919 Speaker 1: timeframe in twenty twenty only twenty two homes hit that threshold. 409 00:20:59,119 --> 00:21:01,520 Speaker 1: This is a combination of rich people who are moving 410 00:21:01,560 --> 00:21:05,320 Speaker 1: here as well as private equity giants and more who 411 00:21:05,400 --> 00:21:08,320 Speaker 1: see that more PMCs are coming here and want to 412 00:21:08,320 --> 00:21:10,480 Speaker 1: buy out all the real estate in order to rent 413 00:21:10,480 --> 00:21:13,159 Speaker 1: to them. Like this is the antithesis of what the 414 00:21:13,200 --> 00:21:16,359 Speaker 1: American dream is all about. And of course they've got 415 00:21:16,359 --> 00:21:18,560 Speaker 1: a bunch of people on their side, like Shapiro, but 416 00:21:18,560 --> 00:21:20,680 Speaker 1: there's a lot of neoliberals who agree with this stuff 417 00:21:20,680 --> 00:21:23,560 Speaker 1: too well. I love how he's like, why don't you 418 00:21:23,600 --> 00:21:27,560 Speaker 1: direct your energies towards the Fed's monetary policy? Did you 419 00:21:27,760 --> 00:21:30,840 Speaker 1: vote on the Fed's monetary policy? Do you have any 420 00:21:30,920 --> 00:21:35,399 Speaker 1: influence whatsoever on the Fed's monetary policy? Of course he 421 00:21:35,520 --> 00:21:39,119 Speaker 1: takes off the table any of the policy changes that 422 00:21:39,560 --> 00:21:42,040 Speaker 1: actually might have a chance. I think called Congress you 423 00:21:42,040 --> 00:21:45,000 Speaker 1: actually vote, right, that's where you might you know, if 424 00:21:45,040 --> 00:21:48,160 Speaker 1: you have an issue here, direct your energies and look, 425 00:21:48,200 --> 00:21:51,000 Speaker 1: in a sense, he's right, blackrock is going to Blackrocks, Yeah, 426 00:21:51,119 --> 00:21:53,720 Speaker 1: no doubt about it. Right, Congress to Congress. This is 427 00:21:53,760 --> 00:21:58,080 Speaker 1: the American capitalistic system that has been set up with 428 00:21:58,280 --> 00:22:00,440 Speaker 1: you know, corporate socialism. We're going to get to socialism 429 00:22:00,480 --> 00:22:05,320 Speaker 1: in a minute, corporate socialism and totally rigged in their 430 00:22:05,440 --> 00:22:08,199 Speaker 1: favor thanks to you know, some of the people that 431 00:22:08,240 --> 00:22:10,440 Speaker 1: Ben would support the boats and the type of policies 432 00:22:10,480 --> 00:22:15,240 Speaker 1: that Ben frequently expouse espouses. This is the logical end result, 433 00:22:15,359 --> 00:22:18,960 Speaker 1: and it's absolutely grotesque. You said, it's setting up a 434 00:22:19,000 --> 00:22:23,320 Speaker 1: truly sort of dystopian future, and you know what I 435 00:22:23,400 --> 00:22:25,960 Speaker 1: looked into. Okay, So what is it like if you 436 00:22:26,040 --> 00:22:29,640 Speaker 1: have one of these giant corporation, giant private equity funds. 437 00:22:29,680 --> 00:22:31,960 Speaker 1: What is it like for them to be your landlord? 438 00:22:32,119 --> 00:22:35,200 Speaker 1: And you will not be surprised to learn it's a healthcape. 439 00:22:35,600 --> 00:22:39,720 Speaker 1: You're you know, they do everything they possibly can to 440 00:22:39,800 --> 00:22:43,480 Speaker 1: save every single penny. So that means if something goes 441 00:22:43,560 --> 00:22:46,600 Speaker 1: catastrophically wrong in your home, they're not going to fix it, 442 00:22:46,720 --> 00:22:48,119 Speaker 1: or it's going to be on you to fix it. 443 00:22:48,480 --> 00:22:51,840 Speaker 1: Of course, the legalistic contracts that you have to sign 444 00:22:52,200 --> 00:22:55,240 Speaker 1: puts all of the burden and the risk on your side, 445 00:22:55,560 --> 00:22:58,720 Speaker 1: so you're fronting the cost. Oftentimes this is what they found. 446 00:22:58,960 --> 00:23:01,480 Speaker 1: You're fronting the cost for any sort of like significant 447 00:23:01,520 --> 00:23:05,520 Speaker 1: repairs that have to take place. Meanwhile, they're banking the 448 00:23:05,560 --> 00:23:08,760 Speaker 1: wealth that comes from the appreciation of the property as 449 00:23:08,800 --> 00:23:10,800 Speaker 1: you're putting in those investments. I mean, that's what that 450 00:23:10,840 --> 00:23:14,320 Speaker 1: looks like. And you're absolutely right. The one way that 451 00:23:14,400 --> 00:23:18,000 Speaker 1: at this point, as precarious as the economy is for people, 452 00:23:18,080 --> 00:23:22,520 Speaker 1: the one way that Americans can still build stable middle 453 00:23:22,520 --> 00:23:25,159 Speaker 1: class wealth is through the housing market. And that is 454 00:23:25,200 --> 00:23:27,680 Speaker 1: what they're going after. That is what they are trying 455 00:23:27,680 --> 00:23:30,679 Speaker 1: to drive a stake into the heart of. It is 456 00:23:30,720 --> 00:23:33,800 Speaker 1: the last bastion of any sort of stability. And so 457 00:23:34,240 --> 00:23:37,000 Speaker 1: I just saw an article recently that was like, millennials 458 00:23:37,040 --> 00:23:39,240 Speaker 1: don't want to buy a house. They just like the 459 00:23:39,320 --> 00:23:42,040 Speaker 1: care free rent. No, they can't buy a house. They 460 00:23:42,040 --> 00:23:43,959 Speaker 1: can't buy a house. They have to be like a 461 00:23:44,000 --> 00:23:47,080 Speaker 1: millionaire or a private equity executive in order to buy 462 00:23:47,200 --> 00:23:50,280 Speaker 1: just a basic house in a hot metro area. And 463 00:23:50,280 --> 00:23:52,119 Speaker 1: by hot metro area, I don't mean like five stities, 464 00:23:52,160 --> 00:23:54,879 Speaker 1: I mean most of the country. So this is a 465 00:23:55,119 --> 00:23:58,640 Speaker 1: truly dystopian state of affairs and something that people clearly 466 00:23:58,680 --> 00:24:00,600 Speaker 1: it's striking a nerve. No it is, and I'm so 467 00:24:00,680 --> 00:24:04,320 Speaker 1: glad act every time I see like organic like uprisings 468 00:24:04,359 --> 00:24:06,840 Speaker 1: like this, it just gives me life because it also, 469 00:24:07,200 --> 00:24:09,280 Speaker 1: like ben, there are people on the left who agree 470 00:24:09,320 --> 00:24:12,400 Speaker 1: with this up Dylan Matthews, he's a box writer, the quote, 471 00:24:12,600 --> 00:24:15,600 Speaker 1: this seems like a great deal for homeowners and a 472 00:24:15,640 --> 00:24:19,480 Speaker 1: way to wean Americans off their obsession with investing in 473 00:24:19,600 --> 00:24:23,560 Speaker 1: crumbling piles of wood and appliances. I have a joke 474 00:24:24,160 --> 00:24:26,880 Speaker 1: with a lot of other friends that these people actually 475 00:24:26,920 --> 00:24:28,720 Speaker 1: do want to force you to live in pods. Like 476 00:24:28,760 --> 00:24:30,920 Speaker 1: that's what they want. They want pod lives, like they 477 00:24:30,960 --> 00:24:34,919 Speaker 1: want Ready Player one level existences where people are stacked 478 00:24:35,000 --> 00:24:37,320 Speaker 1: up up on top on top of each other in 479 00:24:37,440 --> 00:24:39,840 Speaker 1: like this dystopian healscape, and it's like, oh, well they 480 00:24:39,840 --> 00:24:41,879 Speaker 1: have places to sleep, right, I mean, like whatever, Like, 481 00:24:41,920 --> 00:24:43,960 Speaker 1: what what do they get? I mean, maybe they're saving 482 00:24:43,960 --> 00:24:46,880 Speaker 1: a little bit of money. Imagine referring to your homes 483 00:24:47,160 --> 00:24:50,919 Speaker 1: as crumbling piles of wood and appliances. These this is 484 00:24:51,320 --> 00:24:53,600 Speaker 1: that's gonna sell in the heartland. First of all, obviously 485 00:24:53,640 --> 00:24:56,040 Speaker 1: the most politically stupid thing you could say, but from 486 00:24:56,040 --> 00:24:59,720 Speaker 1: a human it's dehumanizing. This is crazy. We're in this 487 00:24:59,760 --> 00:25:02,919 Speaker 1: state of Texas right now, the whole like property is 488 00:25:03,480 --> 00:25:06,800 Speaker 1: intrinsic into the blood of the state in terms of 489 00:25:06,880 --> 00:25:09,520 Speaker 1: what independence and all that was fought over, but also 490 00:25:09,960 --> 00:25:13,520 Speaker 1: into like the DNA of how people conceive of themselves 491 00:25:13,840 --> 00:25:17,080 Speaker 1: now once again, is that the perfect system? Probably not, yeah, 492 00:25:17,119 --> 00:25:19,520 Speaker 1: but it is what it is. And at this point, 493 00:25:19,720 --> 00:25:23,320 Speaker 1: if you're advocating for on the side of Blackrock, imagine 494 00:25:23,359 --> 00:25:26,359 Speaker 1: thinking this seems like a great deal for homeowners and 495 00:25:26,400 --> 00:25:28,639 Speaker 1: then for all these people who are just gonna be 496 00:25:29,040 --> 00:25:32,399 Speaker 1: imagine paying your check once a month to Blackrock as 497 00:25:32,480 --> 00:25:35,520 Speaker 1: you say, oh, your sink is broken, screw you. You 498 00:25:35,560 --> 00:25:37,520 Speaker 1: know why, because it's not like my how if your starter, 499 00:25:37,640 --> 00:25:40,480 Speaker 1: landlord or whatever you sink is broken. You're like, hey man, 500 00:25:40,520 --> 00:25:41,920 Speaker 1: this is my house. You know you gotta make sure 501 00:25:41,920 --> 00:25:43,960 Speaker 1: I fix this all of that. You know, I gotta 502 00:25:44,000 --> 00:25:46,240 Speaker 1: rent this to somebody else. Blackrock they don't care. No 503 00:25:46,640 --> 00:25:49,439 Speaker 1: sue literally sue me. They'll be like, sue me, go ahead, 504 00:25:49,560 --> 00:25:51,040 Speaker 1: what are you gonna do. You're not gonna do it, 505 00:25:51,040 --> 00:25:52,920 Speaker 1: so you can't do anything. You have no rights. I 506 00:25:52,720 --> 00:25:56,359 Speaker 1: have some questions. Here is Dylan Matthews, who obviously the 507 00:25:56,440 --> 00:25:59,280 Speaker 1: liberal writing very it's he calling for like the abolition 508 00:25:59,400 --> 00:26:01,919 Speaker 1: of private A lot of them, a lot of them, 509 00:26:02,720 --> 00:26:07,200 Speaker 1: they believe this. I would agree with the sentiment that 510 00:26:07,240 --> 00:26:11,760 Speaker 1: we are too dependent on building wealth in through the 511 00:26:12,160 --> 00:26:14,600 Speaker 1: you know, through houses. Yes, I would agree with that, 512 00:26:14,640 --> 00:26:17,439 Speaker 1: but you can't rip the rug out from people without 513 00:26:17,520 --> 00:26:21,160 Speaker 1: anything to replace it. Then you're just making everybody worse off. 514 00:26:21,240 --> 00:26:23,359 Speaker 1: If you've got another like, oh, hey, we're gonna build 515 00:26:23,400 --> 00:26:25,960 Speaker 1: wealth in this other way, okay, and make it okay 516 00:26:26,000 --> 00:26:28,120 Speaker 1: for you or help you to have a dignified life 517 00:26:28,160 --> 00:26:30,960 Speaker 1: with this other okay, then maybe we can talk about that. 518 00:26:31,000 --> 00:26:33,920 Speaker 1: But you can't just pull the rug out from under 519 00:26:34,119 --> 00:26:35,760 Speaker 1: I've got one more though that we have to we 520 00:26:35,840 --> 00:26:38,880 Speaker 1: have to get to because I definitely, I definitely want 521 00:26:38,880 --> 00:26:43,960 Speaker 1: your response to this. Yeah. Marjorie Taylor Green MTG herself. 522 00:26:44,119 --> 00:26:48,360 Speaker 1: Her response to this was to say, socialism period. All 523 00:26:48,400 --> 00:26:51,399 Speaker 1: the people excited over the fantasies of socialism that they 524 00:26:51,480 --> 00:26:54,600 Speaker 1: consume from social media experts and members of Congress don't 525 00:26:54,680 --> 00:26:56,720 Speaker 1: understand that there will be very few that own and 526 00:26:56,760 --> 00:26:59,600 Speaker 1: control everything, and the rest of the population will be 527 00:26:59,640 --> 00:27:02,679 Speaker 1: poor and under control. So when she sees so in 528 00:27:03,119 --> 00:27:09,480 Speaker 1: when she sees this like rampant unfettered capitalism that has 529 00:27:09,600 --> 00:27:12,960 Speaker 1: in fact wrought all kinds of misery and consolidations of 530 00:27:13,000 --> 00:27:16,040 Speaker 1: wealth and power. And we talk about monopoly and anti 531 00:27:16,119 --> 00:27:18,840 Speaker 1: trust here on the show when she sees that she 532 00:27:19,240 --> 00:27:22,840 Speaker 1: thinks AOC bad and socialism bad, like this, this is 533 00:27:22,880 --> 00:27:26,080 Speaker 1: the culture war rotting your brain. But but at least 534 00:27:26,119 --> 00:27:29,120 Speaker 1: Marjorie thinks this is a problem. So well, that's right, 535 00:27:29,240 --> 00:27:30,880 Speaker 1: I guess, you know what I mean, She's not what 536 00:27:31,160 --> 00:27:33,600 Speaker 1: I don't know. There's probably some senator out maybe like 537 00:27:33,680 --> 00:27:36,000 Speaker 1: Chuck Grassley or somebody out there. He'd be like, there's 538 00:27:36,000 --> 00:27:38,520 Speaker 1: a good deal of homeowners. You know, what are you 539 00:27:38,520 --> 00:27:41,159 Speaker 1: gonna do? You're gonna stop black Rock from buying houses? 540 00:27:41,359 --> 00:27:44,880 Speaker 1: I'm like maybe, like, like is that crazy? Am I insane? 541 00:27:45,160 --> 00:27:48,200 Speaker 1: Should we? Should we not have a stable housing market? Oh? 542 00:27:48,320 --> 00:27:50,320 Speaker 1: Is there? Right? You know? An unstable housing markets never 543 00:27:50,359 --> 00:27:52,240 Speaker 1: worked out badly for the United States to just be 544 00:27:52,359 --> 00:27:56,320 Speaker 1: that families and like regular people get first cracked and 545 00:27:56,359 --> 00:27:59,879 Speaker 1: this happens, and if it's just there and nobody wants, okay, well, 546 00:28:00,560 --> 00:28:02,800 Speaker 1: but why can't we at least have it so that 547 00:28:03,080 --> 00:28:05,480 Speaker 1: just normal people get first crack? This is again, it 548 00:28:05,640 --> 00:28:07,760 Speaker 1: just it takes the human element out of it. When 549 00:28:07,800 --> 00:28:11,439 Speaker 1: Blackrock is your landlord, is your landlord or owns all 550 00:28:11,480 --> 00:28:13,919 Speaker 1: the houses in your neighborhood, do you really have a 551 00:28:13,960 --> 00:28:17,399 Speaker 1: neighborhood like That's what part of it is is about 552 00:28:17,560 --> 00:28:21,080 Speaker 1: forming human connections with your neighbors and having a community 553 00:28:21,200 --> 00:28:23,680 Speaker 1: where people who own the property in the community are 554 00:28:23,800 --> 00:28:27,200 Speaker 1: invested in it. Blackrock doesn't care about you. They care 555 00:28:27,320 --> 00:28:30,200 Speaker 1: about their office in Manhattan and in Beijing, in Shanghai, 556 00:28:30,240 --> 00:28:32,920 Speaker 1: and in London and in Brussels, and then where all 557 00:28:32,960 --> 00:28:35,960 Speaker 1: of their executives live in the you know, Greenwich, Connecticut. 558 00:28:36,000 --> 00:28:39,400 Speaker 1: And if it could care less save them one penny 559 00:28:40,280 --> 00:28:43,040 Speaker 1: to kick you out of the house, or one penny 560 00:28:43,120 --> 00:28:46,560 Speaker 1: if they calculate, let's say, you know that a certain 561 00:28:46,560 --> 00:28:49,080 Speaker 1: percentage of these homes have asbestos in them. They know 562 00:28:49,120 --> 00:28:53,120 Speaker 1: what they will calculate, is it worth the money to 563 00:28:53,200 --> 00:28:55,600 Speaker 1: get rid of the asbestos to make sure these houses 564 00:28:55,640 --> 00:28:59,200 Speaker 1: are safe, or is it worth the money to just 565 00:28:59,240 --> 00:29:03,000 Speaker 1: pay the lawsuit that you know that will come from club. 566 00:29:03,080 --> 00:29:06,400 Speaker 1: They're like, we literally take like the average slawsuit times 567 00:29:06,520 --> 00:29:10,080 Speaker 1: the average pay out. This is real, it's real, one 568 00:29:10,160 --> 00:29:14,320 Speaker 1: hundred percent, it's real. I mean I remember in West 569 00:29:14,400 --> 00:29:16,920 Speaker 1: Virginia covering like some of the excess of the coal 570 00:29:16,920 --> 00:29:20,360 Speaker 1: mining coming same thing. They would they would scrimp on 571 00:29:20,440 --> 00:29:23,440 Speaker 1: costs in terms of safety and they would just calculate 572 00:29:23,520 --> 00:29:26,160 Speaker 1: out like, Okay, well, if if one or two miners 573 00:29:26,200 --> 00:29:28,880 Speaker 1: dies or one or two workers die, is it how 574 00:29:28,960 --> 00:29:31,160 Speaker 1: much are we gonna have to pay on to their family? Like, 575 00:29:31,240 --> 00:29:33,680 Speaker 1: let's do the trade off. That's that's the type of 576 00:29:33,720 --> 00:29:36,440 Speaker 1: calculations that we're talking about going on here. They do 577 00:29:36,440 --> 00:29:39,120 Speaker 1: not care about your family, they don't care about your community, 578 00:29:39,120 --> 00:29:41,160 Speaker 1: they don't care about your neighborhood. In some instances, they 579 00:29:41,200 --> 00:29:45,120 Speaker 1: are buying up entire neighborhoods, and so I'm I mean, 580 00:29:45,160 --> 00:29:47,720 Speaker 1: it was kind of hardening to see how much attention 581 00:29:48,240 --> 00:29:50,479 Speaker 1: this is starting to get because again, I think people 582 00:29:50,640 --> 00:29:52,640 Speaker 1: no matter where you live in the country, and this 583 00:29:52,680 --> 00:29:54,959 Speaker 1: is another thing that's like not a partisan thing, no 584 00:29:55,000 --> 00:29:58,200 Speaker 1: matter where you live, what type of neighborhood you're in, 585 00:29:58,680 --> 00:30:02,640 Speaker 1: Red state, blue state. It's you're seeing some impact from 586 00:30:02,640 --> 00:30:04,400 Speaker 1: this right now. And look, maybe right now you're on 587 00:30:04,440 --> 00:30:06,040 Speaker 1: the happy side of it, maybe you are the ones 588 00:30:06,080 --> 00:30:09,000 Speaker 1: selling good life. Then on the other side, when after 589 00:30:09,040 --> 00:30:11,400 Speaker 1: you sell the house you're trying to buy that No, exactly, 590 00:30:11,600 --> 00:30:13,720 Speaker 1: don't don't forget about the rest of us out here 591 00:30:13,720 --> 00:30:16,600 Speaker 1: who are not homeowner spokes. Because some of us got 592 00:30:16,640 --> 00:30:18,200 Speaker 1: kicked out of our house and then had a root 593 00:30:18,200 --> 00:30:20,680 Speaker 1: away and we're like, what the hell is going on here? 594 00:30:21,080 --> 00:30:23,640 Speaker 1: This is crazy. Just so everybody knows, you do have 595 00:30:23,640 --> 00:30:28,600 Speaker 1: a roof over your shout out especially to the lady 596 00:30:28,600 --> 00:30:31,360 Speaker 1: who offered to sell me her house in Alexandria. Very 597 00:30:31,400 --> 00:30:33,280 Speaker 1: nice of you, very nice of you. But I'm good, 598 00:30:33,400 --> 00:30:35,080 Speaker 1: all right, we got another one for you though. Yeah, 599 00:30:35,120 --> 00:30:37,040 Speaker 1: this is a really this is a crazy one. So 600 00:30:37,120 --> 00:30:39,520 Speaker 1: this is about the Obviously, we've been tracking the lab 601 00:30:39,600 --> 00:30:41,719 Speaker 1: leak developments and it does seem like every single day 602 00:30:41,800 --> 00:30:44,520 Speaker 1: there's just like dribbled, dribble, dribble, something new, something new, 603 00:30:44,560 --> 00:30:48,240 Speaker 1: something new. Well, Sky News Australia got their hands on 604 00:30:48,640 --> 00:30:52,440 Speaker 1: some video footage from inside the Wuhan Institute of Virology 605 00:30:52,480 --> 00:30:56,400 Speaker 1: which directly disproves talking points that doctor Peter Dazak and 606 00:30:56,440 --> 00:31:00,200 Speaker 1: the who had cited around dismissing the Lablik hypothesis is 607 00:31:00,200 --> 00:31:01,840 Speaker 1: in the first place, let's take a listen to what 608 00:31:01,880 --> 00:31:05,920 Speaker 1: they found. For fifteen years. They do not have live 609 00:31:06,120 --> 00:31:09,160 Speaker 1: or dead bats in them. There is no evidence anywhere 610 00:31:09,160 --> 00:31:11,800 Speaker 1: that this happened. It's an error that I hope will 611 00:31:11,840 --> 00:31:18,560 Speaker 1: be corrected well tonight. Explosive footage from inside the Wuhan 612 00:31:18,760 --> 00:31:24,600 Speaker 1: Institute of Virology indicates his statements are wrong. It is 613 00:31:24,760 --> 00:31:27,600 Speaker 1: not a conspiracy to say there were live bats at 614 00:31:27,600 --> 00:31:31,840 Speaker 1: the lab. It is a fact. And as you can see, 615 00:31:32,280 --> 00:31:37,920 Speaker 1: this video shows bats in a cage at the Wuhan Institute. 616 00:31:38,000 --> 00:31:41,320 Speaker 1: You can also see they're a researcher feeding a bat 617 00:31:41,840 --> 00:31:44,840 Speaker 1: with a worm. And in this image we can see 618 00:31:44,960 --> 00:31:48,840 Speaker 1: researchers out capturing bats and a bat even hangs off 619 00:31:48,960 --> 00:31:54,880 Speaker 1: a researcher's hat. In another image, there are mouse cages, 620 00:31:55,640 --> 00:31:59,000 Speaker 1: hundreds of them. We know that the Wuhan Institute of 621 00:31:59,040 --> 00:32:04,600 Speaker 1: Virology using humanized mice for experiments to see which coronaviruses 622 00:32:04,640 --> 00:32:09,040 Speaker 1: could infect humans. In some experiments, they used the humanized 623 00:32:09,080 --> 00:32:13,560 Speaker 1: mice to make viruses that couldn't previously infect humans do 624 00:32:13,760 --> 00:32:18,560 Speaker 1: exactly that. These experiments, called gain of function, aimed to 625 00:32:18,600 --> 00:32:22,680 Speaker 1: make viruses more infectious and more virulent to try and 626 00:32:22,760 --> 00:32:27,640 Speaker 1: predict which may cause a pandemic. This footage, had it 627 00:32:27,680 --> 00:32:31,560 Speaker 1: been available early last year, may have reshaped the entire 628 00:32:31,760 --> 00:32:37,000 Speaker 1: narrative around the potential origin of COVID nineteen. Back then, 629 00:32:37,040 --> 00:32:39,280 Speaker 1: we were told there were no bats at the lab, 630 00:32:39,600 --> 00:32:42,120 Speaker 1: but we were told that disease ridden bats were sold 631 00:32:42,520 --> 00:32:46,080 Speaker 1: and butchered at the wet market. You'll remember this led 632 00:32:46,080 --> 00:32:49,000 Speaker 1: to calls from presidents and prime ministers the world over 633 00:32:49,440 --> 00:32:53,120 Speaker 1: to shut down wet markets, and videos did the rounds 634 00:32:53,360 --> 00:32:57,800 Speaker 1: of Chinese people eating bat soup. In fact, bats were 635 00:32:57,880 --> 00:33:00,960 Speaker 1: never sold at the Wuhan wet Market and the videos 636 00:33:01,120 --> 00:33:06,320 Speaker 1: were nonsense. Dajak must have realized his public statements from 637 00:33:06,320 --> 00:33:09,560 Speaker 1: December twenty twenty were wrong when he claimed it was 638 00:33:09,600 --> 00:33:12,600 Speaker 1: a conspiracy to say there were bats in the wru 639 00:33:12,640 --> 00:33:15,000 Speaker 1: Hand lab. He said, we didn't ask them if they 640 00:33:15,040 --> 00:33:18,640 Speaker 1: had bats. I wouldn't be surprised if, like many other 641 00:33:18,720 --> 00:33:24,560 Speaker 1: virology labs, they were trying to set up a back colony. Okay, wow, wow, 642 00:33:24,760 --> 00:33:27,080 Speaker 1: sorry for subjective. First of all, they need to read 643 00:33:27,200 --> 00:33:30,080 Speaker 1: faster in Australia. I'm like, we need that on two 644 00:33:30,120 --> 00:33:32,000 Speaker 1: point zero. Yeah that's I need that at like three 645 00:33:32,320 --> 00:33:35,040 Speaker 1: x or something like that. It's driving me crazy. But look, 646 00:33:35,120 --> 00:33:36,920 Speaker 1: she actually did do a decent job of laying out 647 00:33:36,960 --> 00:33:40,200 Speaker 1: the facts there, which is that doctor Peter Dazac, who 648 00:33:40,240 --> 00:33:43,440 Speaker 1: for everybody, just a refresher if you're what if you're 649 00:33:43,600 --> 00:33:47,280 Speaker 1: new to lab, leak one on one. Here's the chain 650 00:33:47,320 --> 00:33:51,280 Speaker 1: of events. Doctor Fauci who we all know the hero 651 00:33:51,440 --> 00:33:54,680 Speaker 1: of the pandemic. He's the head of the n NIAD, 652 00:33:55,440 --> 00:33:58,440 Speaker 1: the National Institute some of the Infectious Diseases anyways, in 653 00:33:58,520 --> 00:34:01,200 Speaker 1: charge of giving grant funding. So he funded this type 654 00:34:01,240 --> 00:34:03,880 Speaker 1: of research called gain of function research, where he actually 655 00:34:03,960 --> 00:34:06,680 Speaker 1: reversed the ban on it that the Obama administration had. 656 00:34:06,960 --> 00:34:10,600 Speaker 1: That is the theory that in labs you should manufacture 657 00:34:10,920 --> 00:34:13,719 Speaker 1: new types of viruses so that you can then fight 658 00:34:13,880 --> 00:34:17,279 Speaker 1: against pandemics. Well, there was a lot of conversation around 659 00:34:17,280 --> 00:34:19,200 Speaker 1: gain of function because it was said to be dangerous 660 00:34:19,239 --> 00:34:23,160 Speaker 1: and possible lablik okay. So part of the funding was 661 00:34:23,320 --> 00:34:26,120 Speaker 1: funneled through a group called Eco Health Alliance, which is 662 00:34:26,160 --> 00:34:30,000 Speaker 1: headed by doctor Peter Dazak. Now Dazak, who has a 663 00:34:30,000 --> 00:34:33,400 Speaker 1: direct hand here and funding the lab also happened to 664 00:34:33,440 --> 00:34:37,640 Speaker 1: be on the WHO World Health Organization investigation team into 665 00:34:37,680 --> 00:34:39,919 Speaker 1: whether there was a lab leak and he says there 666 00:34:39,960 --> 00:34:42,120 Speaker 1: was no lab leak. When you ask him, he goes, well, 667 00:34:42,160 --> 00:34:44,279 Speaker 1: I asked them and they said there wasn't. But he 668 00:34:44,400 --> 00:34:47,680 Speaker 1: also has been covering up a lot of facts which 669 00:34:47,680 --> 00:34:50,680 Speaker 1: are not convenient and as she said, as Sky News 670 00:34:50,719 --> 00:34:54,120 Speaker 1: Australia pointed out, going and looking there at his past 671 00:34:54,160 --> 00:34:56,799 Speaker 1: statements saying that there were no bats inside of the 672 00:34:56,800 --> 00:35:00,920 Speaker 1: Wuhan Institute of Virology, he's just been outright proven false. 673 00:35:00,960 --> 00:35:05,360 Speaker 1: And this just gives a lot more credence, mounting circumstantial 674 00:35:05,360 --> 00:35:09,640 Speaker 1: evidence to the hypothesis that coronavirus is what leaked out 675 00:35:09,680 --> 00:35:12,239 Speaker 1: of the Wuhan Institute of Virology. Now we have the 676 00:35:12,280 --> 00:35:15,160 Speaker 1: information about the sick workers in the lab, we have 677 00:35:15,320 --> 00:35:17,920 Speaker 1: now about the revelation that there were bats inside of 678 00:35:17,960 --> 00:35:20,880 Speaker 1: the lab. Almost nothing that these people said was true 679 00:35:20,960 --> 00:35:23,200 Speaker 1: has turned out to be true. And in fact, it 680 00:35:23,280 --> 00:35:26,920 Speaker 1: turns out that if the Lableek hypothesis is true, it 681 00:35:27,480 --> 00:35:30,400 Speaker 1: first of all implicates doctor Fauci and doctor Peter Dazak, 682 00:35:30,600 --> 00:35:35,200 Speaker 1: but it implicates the entire scientific community because they are 683 00:35:35,200 --> 00:35:37,719 Speaker 1: the ones who've been pushing gain of function research and 684 00:35:37,840 --> 00:35:40,520 Speaker 1: basically they're the ones who covered this up from the 685 00:35:40,600 --> 00:35:43,520 Speaker 1: very beginning because they don't want the money trained to 686 00:35:43,640 --> 00:35:47,280 Speaker 1: dry up. It all comes down to funding and to money. 687 00:35:47,320 --> 00:35:49,719 Speaker 1: And now I understand we actually have an interview with 688 00:35:49,880 --> 00:35:53,000 Speaker 1: the head of the Wuhan Institute of Virology with the 689 00:35:53,040 --> 00:35:55,960 Speaker 1: New York Times. Shocker. Let's hear what she has to say. 690 00:35:56,120 --> 00:36:01,320 Speaker 1: So doctor She who's really the center of this whole controversy, 691 00:36:01,480 --> 00:36:03,440 Speaker 1: and she's viewed in China as like a hero of 692 00:36:03,480 --> 00:36:06,759 Speaker 1: the pandemic. But she's also she's known as like the 693 00:36:06,840 --> 00:36:11,160 Speaker 1: bat lady because she has made her career on studying 694 00:36:11,719 --> 00:36:18,640 Speaker 1: bat illnesses bat coronaviruses. And it turns out that you 695 00:36:18,680 --> 00:36:23,760 Speaker 1: know she's in this interview, she doesn't really relieve reveal 696 00:36:23,840 --> 00:36:27,799 Speaker 1: anything new. But what's really fascinating is remember how we 697 00:36:27,840 --> 00:36:31,239 Speaker 1: played that sound of doctor Fauci getting pressed by ran 698 00:36:31,320 --> 00:36:34,200 Speaker 1: Paul about like gain of function research, Like we never 699 00:36:34,440 --> 00:36:37,520 Speaker 1: fund and gain of function research at that lab, using 700 00:36:37,560 --> 00:36:41,319 Speaker 1: these very like loyally sleight of hand ways of defining it. 701 00:36:41,680 --> 00:36:45,239 Speaker 1: She plays that same exact game here. She said in 702 00:36:45,239 --> 00:36:48,960 Speaker 1: an emailed response to questions that her experiments differed from 703 00:36:49,000 --> 00:36:51,239 Speaker 1: gain of function work because she didn't set out to 704 00:36:51,320 --> 00:36:55,480 Speaker 1: make the virus more dangerous, instead to understand how it 705 00:36:55,560 --> 00:36:59,920 Speaker 1: might jump across species. Quote. My lab has never conducted 706 00:37:00,040 --> 00:37:03,760 Speaker 1: are cooperated in conducting gain of function experiments that enhance 707 00:37:04,120 --> 00:37:08,000 Speaker 1: the virulence of viruses. Let me ask you this, do 708 00:37:08,040 --> 00:37:11,640 Speaker 1: you think maybe it's a little dangerous to explore how 709 00:37:11,680 --> 00:37:15,759 Speaker 1: a virus might leap into human beings like that to 710 00:37:15,840 --> 00:37:21,120 Speaker 1: me seems like the definition of making a virus more dangerous, 711 00:37:21,280 --> 00:37:23,680 Speaker 1: and in fact, that is some of the research that 712 00:37:23,719 --> 00:37:26,520 Speaker 1: they were conducting in this lab. So again she's playing 713 00:37:26,520 --> 00:37:29,399 Speaker 1: these same same games of saying, oh, it wasn't gain 714 00:37:29,440 --> 00:37:32,919 Speaker 1: a function research because we weren't making the virus stronger. 715 00:37:33,200 --> 00:37:34,640 Speaker 1: We were just seeing if we could get it to 716 00:37:34,719 --> 00:37:36,920 Speaker 1: leap into human beings. Oh, I feel so much better now, 717 00:37:36,920 --> 00:37:39,040 Speaker 1: that's fantastic. Now we have nothing to worry about it. 718 00:37:39,040 --> 00:37:40,640 Speaker 1: As a part of the video we didn't play, which 719 00:37:40,680 --> 00:37:43,799 Speaker 1: is that This is from twenty seventeen Song Donglin, who's 720 00:37:43,840 --> 00:37:47,080 Speaker 1: the deputy director of the Wuhan Lab. Here's what he said. Quote, 721 00:37:47,320 --> 00:37:52,680 Speaker 1: China had no prior experience designing or contracting BSL four laboratories. 722 00:37:52,920 --> 00:37:57,319 Speaker 1: There was no prior experience in using and managing autoclave 723 00:37:57,360 --> 00:38:02,160 Speaker 1: sterilizers nor life support systems for personnel. Here's he adds. Quote. 724 00:38:02,440 --> 00:38:05,799 Speaker 1: Over more than a decade, she zeng Lei's research team 725 00:38:05,840 --> 00:38:10,160 Speaker 1: has collected more than fifteen thousand bat samples in China 726 00:38:10,480 --> 00:38:15,400 Speaker 1: and many countries of Africa searching for the origins of stars. Quote. 727 00:38:15,600 --> 00:38:18,879 Speaker 1: This is the money one as well as isolating and 728 00:38:19,000 --> 00:38:24,879 Speaker 1: characterizing many new viruses that ladies and gentlemen is what 729 00:38:25,040 --> 00:38:27,879 Speaker 1: we used to call gain of function research, but which 730 00:38:27,920 --> 00:38:31,520 Speaker 1: doctor Fauci and doctor She don't want to call gain 731 00:38:31,560 --> 00:38:35,400 Speaker 1: of function research. They're admitting it right here on tape 732 00:38:35,520 --> 00:38:39,160 Speaker 1: before any of this came political. And here's the thing, 733 00:38:39,200 --> 00:38:41,200 Speaker 1: as even the New York Times is willing to point 734 00:38:41,200 --> 00:38:44,000 Speaker 1: out now, they have covered this stuff up from the beginning. 735 00:38:44,040 --> 00:38:47,239 Speaker 1: Doctor She says that all of the insults against her 736 00:38:47,280 --> 00:38:50,440 Speaker 1: are filth. I like, what are you guys even talking 737 00:38:50,440 --> 00:38:53,359 Speaker 1: about here? Really, what it is is that there's been 738 00:38:53,440 --> 00:38:57,000 Speaker 1: zero transparency and that the people in charge the people 739 00:38:57,000 --> 00:39:01,640 Speaker 1: who we trusted. I mean, think back April of twenty twenty, 740 00:39:01,920 --> 00:39:04,040 Speaker 1: how much trust did this country happened? People like doctor 741 00:39:04,040 --> 00:39:08,400 Speaker 1: Fauci and the surgeon General and even Dazak, the epidemiologist. 742 00:39:08,600 --> 00:39:11,080 Speaker 1: I'm sure I was one of many being like, hey, man, 743 00:39:11,239 --> 00:39:13,200 Speaker 1: I gotta hear what these people have to say. I mean, 744 00:39:13,239 --> 00:39:14,839 Speaker 1: you know, they're the ones who are in charge, and 745 00:39:14,920 --> 00:39:19,560 Speaker 1: slowly but surely you've become deeply disgusted by seeing how 746 00:39:19,719 --> 00:39:21,759 Speaker 1: you know, oh well, if there's a BLM protest, then 747 00:39:21,760 --> 00:39:24,960 Speaker 1: apparently coronavirus doesn't matter. But it took a while in 748 00:39:25,080 --> 00:39:28,840 Speaker 1: order to really say, Okay, I can't trust these people anymore. 749 00:39:29,239 --> 00:39:32,200 Speaker 1: But in that time they abused our trust. They covered 750 00:39:32,280 --> 00:39:37,400 Speaker 1: up a possible origin theory for coronavirus in Nature magazine 751 00:39:37,760 --> 00:39:40,200 Speaker 1: with the help of doctor Fauci, with the help of 752 00:39:40,239 --> 00:39:43,680 Speaker 1: doctor Peter Dazak, they became heroes to a huge segment 753 00:39:43,920 --> 00:39:47,320 Speaker 1: of this population, also because of cable news and appearing 754 00:39:47,360 --> 00:39:50,920 Speaker 1: to be anti Trump, like the scientists telling Trump how 755 00:39:50,920 --> 00:39:53,840 Speaker 1: it is. Even today, Crystal, I think we both know 756 00:39:54,200 --> 00:39:57,239 Speaker 1: one third of the US population will never believe the 757 00:39:57,320 --> 00:40:00,600 Speaker 1: Lablique theory even if it's true, just because Trump's because 758 00:40:00,640 --> 00:40:04,440 Speaker 1: of MSNBC. One third of the entire US population. That's crazy. 759 00:40:04,520 --> 00:40:07,680 Speaker 1: That's just totally completely insane. Well, it's really wild, is 760 00:40:07,719 --> 00:40:11,080 Speaker 1: that the bad actors, because there have been good actors 761 00:40:11,120 --> 00:40:13,080 Speaker 1: in the scientific community as well, So I don't want 762 00:40:13,080 --> 00:40:16,080 Speaker 1: to smear like everyone who's a scientist goods. There have 763 00:40:16,080 --> 00:40:18,399 Speaker 1: been some good actors as well. And you've got now 764 00:40:18,480 --> 00:40:20,080 Speaker 1: a number of people have come out and said, look, 765 00:40:20,120 --> 00:40:21,840 Speaker 1: we got to look into this thing. Even if I 766 00:40:21,880 --> 00:40:25,120 Speaker 1: think maybe it's more likely of the zoonotic origin, we 767 00:40:25,239 --> 00:40:27,160 Speaker 1: really got to figure this thing out and this isn't 768 00:40:27,200 --> 00:40:29,480 Speaker 1: about politics. It's just about we got to get to 769 00:40:29,520 --> 00:40:32,120 Speaker 1: the root of this thing. But the bad actors here 770 00:40:32,400 --> 00:40:35,759 Speaker 1: really very skillfully manipulated the media and the media's weaknesses. 771 00:40:35,920 --> 00:40:38,640 Speaker 1: I mean, the combination of Trump said it. So it's 772 00:40:38,680 --> 00:40:41,000 Speaker 1: got to be wrong. The way that they got out 773 00:40:41,040 --> 00:40:44,080 Speaker 1: front with this force of We've got another like what 774 00:40:44,239 --> 00:40:47,920 Speaker 1: was it twenty or some dozen scientists on the first 775 00:40:48,000 --> 00:40:50,279 Speaker 1: letter that signed on. That just gave it the weight 776 00:40:50,360 --> 00:40:53,560 Speaker 1: of like you've got on this side, you've got all 777 00:40:53,560 --> 00:40:57,759 Speaker 1: these credible scientists with their PhDs saying absolutely can't have 778 00:40:57,840 --> 00:40:59,600 Speaker 1: come from a lab. And on this side you've got 779 00:40:59,600 --> 00:41:03,680 Speaker 1: these razy loons like Donald Trump. And if you don't 780 00:41:03,760 --> 00:41:07,560 Speaker 1: know anything about gain of function research, if you don't 781 00:41:07,600 --> 00:41:11,600 Speaker 1: know anything, I myself just looking at the surface level job, like, 782 00:41:11,600 --> 00:41:13,600 Speaker 1: why are we supposed to know looking at those things. 783 00:41:13,640 --> 00:41:17,239 Speaker 1: I'm not a science reporter, I'm not an epidemiologist. I'd say, yeah, 784 00:41:17,280 --> 00:41:19,840 Speaker 1: those people seem more credible than like the Trump loonies 785 00:41:19,880 --> 00:41:22,640 Speaker 1: and Tom Cotton and whoever else is out here. But yeah, 786 00:41:22,680 --> 00:41:25,080 Speaker 1: the people whose job it was to actually dig into 787 00:41:25,120 --> 00:41:28,440 Speaker 1: this and consider the motivations of the people at stake 788 00:41:28,480 --> 00:41:31,280 Speaker 1: on both sides they really failed, and they've essentially admitted 789 00:41:31,360 --> 00:41:32,880 Speaker 1: that at this point that it was like, yeah, we 790 00:41:32,880 --> 00:41:34,520 Speaker 1: were really blinded by the fact that it was Trump 791 00:41:34,560 --> 00:41:36,520 Speaker 1: who was saying it and it caught, and you had 792 00:41:36,560 --> 00:41:38,920 Speaker 1: scientists saying the other and we just caused us to 793 00:41:38,960 --> 00:41:41,440 Speaker 1: dismiss it out of hand when we really should have 794 00:41:41,560 --> 00:41:43,799 Speaker 1: done the digging and given it more credence. And now 795 00:41:43,840 --> 00:41:46,640 Speaker 1: that Trump is gone and it's kind of safe, then 796 00:41:46,960 --> 00:41:49,239 Speaker 1: they're able to return to their senses a little bit 797 00:41:49,360 --> 00:41:53,239 Speaker 1: and hear some of the countervailing evidence and consider that, hey, 798 00:41:53,239 --> 00:41:57,359 Speaker 1: maybe this lablique theory isn't so crazier, isn't just some 799 00:41:57,480 --> 00:42:00,400 Speaker 1: like racist conspiracy theory. Like we ultimately though that it 800 00:42:00,440 --> 00:42:02,440 Speaker 1: was credit to Biden at least he said we need 801 00:42:02,480 --> 00:42:05,080 Speaker 1: to have a real investigation and the G seven and 802 00:42:05,120 --> 00:42:07,239 Speaker 1: also put out a statement so credit where it's all 803 00:42:07,320 --> 00:42:09,120 Speaker 1: due one hundred percent. He set it out on the 804 00:42:09,120 --> 00:42:11,520 Speaker 1: world stage. And that type of stuff does matter because 805 00:42:11,520 --> 00:42:14,279 Speaker 1: it does drive the Chinese credit. But don't forget, which 806 00:42:14,320 --> 00:42:16,880 Speaker 1: is that the Fauci emails revealed to us that the 807 00:42:16,920 --> 00:42:20,240 Speaker 1: person who put out the coordinated Nature magazine statement about 808 00:42:20,239 --> 00:42:23,640 Speaker 1: how there was absolutely zero doubt that the lablique theory 809 00:42:23,960 --> 00:42:27,400 Speaker 1: was not true, had emailed doctor Fauci in January of 810 00:42:27,440 --> 00:42:30,040 Speaker 1: twenty twenty, saying that they had what was it, no 811 00:42:30,200 --> 00:42:35,840 Speaker 1: evolutionary characteristics or like not consistent with evolutionary theory aka 812 00:42:36,400 --> 00:42:40,319 Speaker 1: man made. And here's the thing, this all looks like 813 00:42:40,360 --> 00:42:43,120 Speaker 1: it might have been a colossal accident, not just of 814 00:42:43,160 --> 00:42:47,000 Speaker 1: the Chinese making, with the active complicity and funding of 815 00:42:47,040 --> 00:42:49,440 Speaker 1: the United States government. That's what makes it such a 816 00:42:49,480 --> 00:42:52,439 Speaker 1: scandal in the first place. And more than that, take 817 00:42:52,480 --> 00:42:54,880 Speaker 1: all the politics out, do we really want to be 818 00:42:54,920 --> 00:42:57,600 Speaker 1: funding more of this type of research if this is 819 00:42:57,640 --> 00:43:00,760 Speaker 1: what caused the worst pandemic in a century, I think 820 00:43:00,960 --> 00:43:05,920 Speaker 1: personally the answer is no. And if you're gonna do it, 821 00:43:06,040 --> 00:43:09,400 Speaker 1: prove to me that it's not dangerous anymore, prove to 822 00:43:09,440 --> 00:43:13,440 Speaker 1: me that we're not find funding maybe subpar labs in China, 823 00:43:13,719 --> 00:43:16,080 Speaker 1: and prove to me that it's actually necessary for science. 824 00:43:16,200 --> 00:43:19,680 Speaker 1: But people have a right to have their voices heard 825 00:43:19,880 --> 00:43:23,799 Speaker 1: because it's our dollars, but importantly it's our lives, and 826 00:43:23,920 --> 00:43:26,200 Speaker 1: we've just been totally failed on the story. I honestly 827 00:43:26,239 --> 00:43:28,640 Speaker 1: think we already have our answer about Kana. Whether this 828 00:43:28,920 --> 00:43:31,279 Speaker 1: one ends up having come from a lab or not. 829 00:43:31,760 --> 00:43:35,080 Speaker 1: Clearly this is a huge risk. Clearly there's massive risk involved, 830 00:43:35,120 --> 00:43:38,239 Speaker 1: and we do know that other viruses have escaped the lab, 831 00:43:38,560 --> 00:43:41,360 Speaker 1: so it's not like so crazy to think that that 832 00:43:41,440 --> 00:43:45,680 Speaker 1: could happen. So, in my non scientific opinion, based on 833 00:43:45,880 --> 00:43:48,640 Speaker 1: reading in a lot on all of this stuff to 834 00:43:48,680 --> 00:43:51,319 Speaker 1: try to bring you guys the best information, I think 835 00:43:51,320 --> 00:43:53,400 Speaker 1: we already have our answer on gain and function research. 836 00:43:53,400 --> 00:43:55,640 Speaker 1: And you know what, these scientists think it too, because 837 00:43:55,640 --> 00:43:57,440 Speaker 1: they are going out of their way to say, no, no, no, 838 00:43:57,680 --> 00:44:00,880 Speaker 1: what we were doing that wasn't gain of function research. 839 00:44:01,080 --> 00:44:03,239 Speaker 1: We don't want anything to do with that. So I 840 00:44:03,280 --> 00:44:06,720 Speaker 1: think the tables on that one have already turned. Speaking 841 00:44:06,719 --> 00:44:10,560 Speaker 1: of rigged systems, Indeed, another private equity story for you guys, 842 00:44:10,840 --> 00:44:13,880 Speaker 1: this is actually really stunning. So the New York Times 843 00:44:14,880 --> 00:44:17,200 Speaker 1: got their hands on information that there have actually been 844 00:44:17,280 --> 00:44:22,279 Speaker 1: several whistle blowers coming forward to the IRS saying, hey, 845 00:44:22,719 --> 00:44:26,320 Speaker 1: private equity, these people are getting away with cheating on 846 00:44:26,400 --> 00:44:31,120 Speaker 1: their taxes left and right, at least three different whistleblowers. 847 00:44:31,440 --> 00:44:33,400 Speaker 1: So when the New York Times dug into this, what 848 00:44:33,480 --> 00:44:36,280 Speaker 1: they found is, even though those concerns had been brought, 849 00:44:36,880 --> 00:44:44,759 Speaker 1: the actual tax rules are rarely enforced against private equity managers, 850 00:44:44,880 --> 00:44:47,360 Speaker 1: the people who are getting the distribution from these private 851 00:44:47,360 --> 00:44:51,399 Speaker 1: equity funds. The rules are extraordinally byzantine, and they are 852 00:44:51,520 --> 00:44:57,800 Speaker 1: exploiting massive loopholes, both legally and some probably dodging even 853 00:44:57,960 --> 00:45:02,640 Speaker 1: the legal methods of of lowering their taxes and straight 854 00:45:02,719 --> 00:45:06,080 Speaker 1: up acting illegally. Again, according to these whistleblowers, there's a 855 00:45:06,120 --> 00:45:08,440 Speaker 1: few different pieces here that are really important to note. 856 00:45:08,520 --> 00:45:12,120 Speaker 1: I think this is really interesting. So Trump administration gave 857 00:45:12,200 --> 00:45:15,440 Speaker 1: private equity massive gift on their way out of office. 858 00:45:15,800 --> 00:45:17,960 Speaker 1: A senior Treasury official I'm ringing from the New York 859 00:45:17,960 --> 00:45:22,920 Speaker 1: Times now, a senior Treasury official whose previous job involved 860 00:45:23,120 --> 00:45:27,239 Speaker 1: helping the wealthy avoid taxes, put into place new regulations 861 00:45:27,239 --> 00:45:30,400 Speaker 1: they represented a major victory for private equity in firms. 862 00:45:30,440 --> 00:45:33,560 Speaker 1: They ensured that executives in the four point five trillion 863 00:45:33,560 --> 00:45:36,319 Speaker 1: dollar industry, whose leaders often measure their yearly pay in 864 00:45:36,480 --> 00:45:41,160 Speaker 1: eight or nine figures, could avoid paying hundreds of millions 865 00:45:41,160 --> 00:45:44,080 Speaker 1: in taxes. And wait for this part. Those rules were 866 00:45:44,160 --> 00:45:49,440 Speaker 1: approved on January fifth, the day before the riot at 867 00:45:49,440 --> 00:45:53,480 Speaker 1: the US Capitol, and so hardly anyone noticed. But by 868 00:45:53,520 --> 00:45:55,920 Speaker 1: the way, this isn't just a Trump story. This is 869 00:45:56,000 --> 00:45:59,040 Speaker 1: completely bipartisan. Let me find the numbers here of the 870 00:45:59,200 --> 00:46:02,680 Speaker 1: number of lab private equity industry has a fleet of 871 00:46:02,719 --> 00:46:07,560 Speaker 1: almost two hundred lobbyists and has doled out nearly six 872 00:46:07,760 --> 00:46:12,040 Speaker 1: hundred million dollars in campaign contributions over the last decade. 873 00:46:12,080 --> 00:46:15,919 Speaker 1: That's to Republicans and to Democrats, and that has repeatedly 874 00:46:16,000 --> 00:46:19,839 Speaker 1: derailed past efforts to increase their tax burden at all. 875 00:46:20,239 --> 00:46:25,239 Speaker 1: They have spent millions, hundreds of millions to rig the 876 00:46:25,320 --> 00:46:29,360 Speaker 1: system to their benefit. And even that is not enough, 877 00:46:29,680 --> 00:46:32,799 Speaker 1: according to these whistleblowers. They then even have to go 878 00:46:32,920 --> 00:46:37,040 Speaker 1: beyond those technically legal leap loopholes that they fought for, 879 00:46:37,440 --> 00:46:39,560 Speaker 1: but been fought for by spending lots of money in 880 00:46:39,600 --> 00:46:43,279 Speaker 1: campaign contributions, and actually commit illegal acts as well, again 881 00:46:43,280 --> 00:46:45,840 Speaker 1: according to these whistleblowers, discussing all the way around, and 882 00:46:45,840 --> 00:46:48,040 Speaker 1: then the IRS has no money to actually audit them. 883 00:46:48,120 --> 00:46:51,400 Speaker 1: That's the worst part. And speaking of Blackstone, this is Blackstone, 884 00:46:51,520 --> 00:46:55,400 Speaker 1: to be clear, not Blacklaw. Blackstone Group chief executive Steven Schwartzman, 885 00:46:55,760 --> 00:46:58,240 Speaker 1: who you know, a big friend of the Chinese government. 886 00:46:58,480 --> 00:47:02,400 Speaker 1: He earned six hundred and ten million dollars last year 887 00:47:02,560 --> 00:47:04,680 Speaker 1: and he's going to pay federal taxes at a rate 888 00:47:04,960 --> 00:47:09,200 Speaker 1: similar to the average middle class American. So that's interesting. 889 00:47:09,480 --> 00:47:11,920 Speaker 1: And the more that you read all of this, not 890 00:47:11,960 --> 00:47:14,600 Speaker 1: only in terms of the campaign contributions and more, but 891 00:47:14,719 --> 00:47:18,080 Speaker 1: you actually see that they know they're not going to 892 00:47:18,120 --> 00:47:21,239 Speaker 1: get audited because of something what they've created called a 893 00:47:21,239 --> 00:47:25,200 Speaker 1: partnership in a partnership system quote. One reason they fairly 894 00:47:25,360 --> 00:47:29,080 Speaker 1: rarely face audits is private equity firms have deployed vast 895 00:47:29,120 --> 00:47:33,319 Speaker 1: webs of partnerships to collect their profits. So partnerships do 896 00:47:33,400 --> 00:47:37,840 Speaker 1: not owe income taxes, so instead they pass obligations onto 897 00:47:37,880 --> 00:47:41,080 Speaker 1: their partners, who can number in the thousands at a 898 00:47:41,160 --> 00:47:45,319 Speaker 1: large private equity firms. That makes the structures complicated for 899 00:47:45,440 --> 00:47:50,359 Speaker 1: auditors to untangle. Increasingly, this is the really bad part. 900 00:47:50,480 --> 00:47:53,840 Speaker 1: The agency doesn't even bother People earning less than twenty 901 00:47:53,840 --> 00:47:57,960 Speaker 1: five thousand dollars are three times more likely to be 902 00:47:58,120 --> 00:48:03,680 Speaker 1: audited than partnerships, whose income flows overwhelmingly to the richest 903 00:48:03,880 --> 00:48:06,880 Speaker 1: one percent of Americans. I'm going to say it for 904 00:48:06,960 --> 00:48:10,200 Speaker 1: what it is. This is rigged. This is a rigged system. 905 00:48:10,400 --> 00:48:13,879 Speaker 1: If you're earning less than twenty five thousand dollars in 906 00:48:13,920 --> 00:48:17,560 Speaker 1: this country, you are poor, like you are, on the 907 00:48:17,680 --> 00:48:22,320 Speaker 1: brink will one blown tire away from bankruptcy. And maybe 908 00:48:22,360 --> 00:48:25,280 Speaker 1: you forgot to check a box or two, or maybe 909 00:48:25,320 --> 00:48:28,640 Speaker 1: you didn't report some cash tips or whatever from a 910 00:48:28,760 --> 00:48:32,240 Speaker 1: job on your income. You know what, Uncle Sam should 911 00:48:32,280 --> 00:48:35,560 Speaker 1: have nothing to do with you, especially whenever these types 912 00:48:35,600 --> 00:48:40,040 Speaker 1: of people are creating partnerships and funneling hundreds of billions 913 00:48:40,080 --> 00:48:43,480 Speaker 1: of dollars through this system, all one hundred percent legally, 914 00:48:43,640 --> 00:48:45,360 Speaker 1: and like you said, it's not even enough. They have 915 00:48:45,440 --> 00:48:46,920 Speaker 1: to on the way out, they have to write these 916 00:48:46,920 --> 00:48:49,760 Speaker 1: little rules. And I love that this happened on January fifth, 917 00:48:49,840 --> 00:48:53,400 Speaker 1: because okay, January sixth, it was terrible, right, It was 918 00:48:53,480 --> 00:48:57,600 Speaker 1: obviously a story worth covering. It's it's June fourteenth and 919 00:48:57,880 --> 00:49:01,160 Speaker 1: the lead story in the Political Today. Biden was asked 920 00:49:01,160 --> 00:49:02,880 Speaker 1: about it the day that we're taping it. Biden was 921 00:49:02,960 --> 00:49:06,120 Speaker 1: just asked about a January six commission on June fourteenth, 922 00:49:06,320 --> 00:49:11,000 Speaker 1: while he's abroad in talking about NATO, and show me 923 00:49:11,440 --> 00:49:15,160 Speaker 1: one person, one real reporter who would actually bring this up, 924 00:49:15,440 --> 00:49:19,120 Speaker 1: do a primetime segment about it and say on January fifth, 925 00:49:19,160 --> 00:49:22,920 Speaker 1: twenty twenty one, the Trump administration aided and embedded by 926 00:49:22,920 --> 00:49:26,600 Speaker 1: the private equity industry, gave hundreds of millions of dollars 927 00:49:26,600 --> 00:49:29,240 Speaker 1: in tax benefits to the wealthiest people in this country 928 00:49:29,360 --> 00:49:32,960 Speaker 1: who not only were already wealthy, but made ten times 929 00:49:33,000 --> 00:49:35,960 Speaker 1: more than you did during the pandemic while you suffered 930 00:49:36,000 --> 00:49:39,680 Speaker 1: in your house. That is an absolute outrage, and it's look. 931 00:49:39,960 --> 00:49:42,520 Speaker 1: Credit to the Times for doing the story. But let's 932 00:49:42,560 --> 00:49:45,520 Speaker 1: not hit ourselves. Nobody is talking about this in the 933 00:49:45,520 --> 00:49:47,600 Speaker 1: way that it actually is. Well, and let's go all 934 00:49:47,600 --> 00:49:49,040 Speaker 1: the way back to what we were talking about at 935 00:49:49,080 --> 00:49:51,279 Speaker 1: the beginning, the media and the things that they choose 936 00:49:51,280 --> 00:49:53,960 Speaker 1: to become sorry, right, right, So you could either have 937 00:49:54,680 --> 00:49:57,840 Speaker 1: focused Again, no one here is saying January sixth was 938 00:49:57,880 --> 00:49:59,920 Speaker 1: not horrible and did not deserve a lot of attention. 939 00:50:00,239 --> 00:50:02,520 Speaker 1: We gave it a lot of attention, and it has 940 00:50:02,560 --> 00:50:04,719 Speaker 1: important ramifications for the country. I want to be clear 941 00:50:04,719 --> 00:50:09,160 Speaker 1: about that. But the whole conversation about Trump has always 942 00:50:09,200 --> 00:50:12,840 Speaker 1: just been about character. And if you had actually focused 943 00:50:12,840 --> 00:50:17,279 Speaker 1: on things like this massive loopholes giveaways written by the 944 00:50:17,400 --> 00:50:20,120 Speaker 1: dude who came straight from advising the rich on how 945 00:50:20,160 --> 00:50:23,120 Speaker 1: to avoid taxes, you would have gotten a lot further 946 00:50:23,320 --> 00:50:26,040 Speaker 1: than you did ultimately. Now, instead you're in a place 947 00:50:26,040 --> 00:50:28,840 Speaker 1: where if Trump runs again in twenty twenty four, especially 948 00:50:28,880 --> 00:50:33,480 Speaker 1: if he's running against Kamala Harris, welcome back, President Trump. Love. Yeah. 949 00:50:33,520 --> 00:50:36,520 Speaker 1: I mean it's seriously you've left him in a position 950 00:50:36,600 --> 00:50:39,640 Speaker 1: where people don't know that these are the type of 951 00:50:39,719 --> 00:50:44,200 Speaker 1: actions that they were aggressively pursuing, giving the store away 952 00:50:44,680 --> 00:50:49,000 Speaker 1: to the richest and most powerful among us. This one loophole, 953 00:50:49,000 --> 00:50:51,360 Speaker 1: the carried interest loophole. You probably heard it name before. 954 00:50:51,440 --> 00:50:53,120 Speaker 1: It's like the way that they're able to book reb 955 00:50:53,200 --> 00:50:55,600 Speaker 1: and instead of taking it as income, they take it 956 00:50:55,640 --> 00:50:59,560 Speaker 1: as carried interest. And then so that one loophole costs 957 00:50:59,560 --> 00:51:02,680 Speaker 1: the federal government one hundred and thirty billion dollars just 958 00:51:02,760 --> 00:51:05,200 Speaker 1: that one thing, and like we're not big, you gotta 959 00:51:05,200 --> 00:51:07,719 Speaker 1: pay for it and balance the budget. People over here, 960 00:51:07,880 --> 00:51:11,760 Speaker 1: this is about basic fairness. This is about basic belief 961 00:51:12,239 --> 00:51:14,640 Speaker 1: that this system that we have set up in this 962 00:51:14,719 --> 00:51:19,520 Speaker 1: country is gonna work for you and isn't wildly disgustingly 963 00:51:19,760 --> 00:51:23,600 Speaker 1: unfair and rigged for the people who already have the most. 964 00:51:23,960 --> 00:51:27,200 Speaker 1: And so that's what this is really all about. Because 965 00:51:27,239 --> 00:51:28,719 Speaker 1: the moment that you lose that, and I mean a 966 00:51:28,760 --> 00:51:32,160 Speaker 1: lot of ways, that whole trust any semblance of oh, 967 00:51:32,200 --> 00:51:34,080 Speaker 1: this is a fair system. You work hard and you 968 00:51:34,200 --> 00:51:35,959 Speaker 1: pay your taxes and you make it to the top. 969 00:51:36,520 --> 00:51:39,719 Speaker 1: That's gone. Stories like this just underscore it. And if 970 00:51:39,760 --> 00:51:42,640 Speaker 1: you don't fix it, you're in a bad, bad place. 971 00:51:42,680 --> 00:51:44,640 Speaker 1: So all these people will look at like, what can 972 00:51:44,680 --> 00:51:47,680 Speaker 1: we do? The trust and institutions is so incredibly good? 973 00:51:47,960 --> 00:51:50,720 Speaker 1: Fox News yeah, Fox News Yeah. I mean, look, Fox 974 00:51:50,760 --> 00:51:53,120 Speaker 1: News is not a great institution, but neither are any 975 00:51:53,400 --> 00:51:55,520 Speaker 1: other media outlets, by the way, And if you want 976 00:51:55,520 --> 00:51:57,719 Speaker 1: to say which is worse, okay, you know, maybe I'd 977 00:51:57,760 --> 00:52:01,840 Speaker 1: say Fox. But it's everything to distract from their own failings. 978 00:52:02,000 --> 00:52:03,880 Speaker 1: The next thing that they would do after Fox News 979 00:52:03,960 --> 00:52:05,640 Speaker 1: is like, oh, well, it's your fault because you're just 980 00:52:05,680 --> 00:52:08,760 Speaker 1: buying into all these conspiracy theories and you're not educated 981 00:52:08,840 --> 00:52:11,800 Speaker 1: enough or you're not listening to the right programming or whatever. 982 00:52:11,960 --> 00:52:14,279 Speaker 1: Is a corporate media responsible. Yeah, but this is the 983 00:52:14,320 --> 00:52:16,800 Speaker 1: thing too. Their bosses, many of the people who invest 984 00:52:16,800 --> 00:52:18,960 Speaker 1: in these companies or own them, they're benefiting from the 985 00:52:18,960 --> 00:52:21,640 Speaker 1: same thing. So how are they supposed to report on this? 986 00:52:21,640 --> 00:52:24,120 Speaker 1: This is where it all. I'm just sitting here thinking 987 00:52:24,200 --> 00:52:27,520 Speaker 1: about somebody who's making less than twenty five grand a 988 00:52:27,560 --> 00:52:31,000 Speaker 1: year getting audited by the IRS and then having them 989 00:52:31,200 --> 00:52:34,560 Speaker 1: these guys funneling millions of dollars so they can buy 990 00:52:34,600 --> 00:52:37,879 Speaker 1: new boats in Monaco or whatever in order to not 991 00:52:37,920 --> 00:52:42,879 Speaker 1: pay tip. It is blood boiling just even thinking about that. 992 00:52:42,960 --> 00:52:45,600 Speaker 1: And yes, I'm not a huge like you know, you know, 993 00:52:45,640 --> 00:52:47,719 Speaker 1: we have to pay for it every line item since 994 00:52:47,760 --> 00:52:51,600 Speaker 1: countries aren't houses, turns out. But it's about fairness and 995 00:52:51,640 --> 00:52:55,440 Speaker 1: it's about buying into the system. This whole thing America, 996 00:52:55,800 --> 00:52:59,400 Speaker 1: the experiment. Look, nothing ties us together. It's not blood, 997 00:52:59,640 --> 00:53:02,640 Speaker 1: you know, that hasn't been the case for a long time. 998 00:53:02,960 --> 00:53:06,319 Speaker 1: It's not you know, common cultural heritage. There's some of that, 999 00:53:06,440 --> 00:53:10,280 Speaker 1: but not necessarily, especially in the cosmopolitan age. It's about 1000 00:53:10,520 --> 00:53:13,719 Speaker 1: belief in an idea and in being able to get 1001 00:53:13,760 --> 00:53:18,080 Speaker 1: ahead and more that is slowly dissipating. And the more 1002 00:53:18,360 --> 00:53:20,799 Speaker 1: that people see this type of story. I've said this 1003 00:53:20,800 --> 00:53:22,920 Speaker 1: so many times, people know the system is rigged. They 1004 00:53:22,960 --> 00:53:25,880 Speaker 1: just can't explain to you exactly how. And that's what 1005 00:53:25,960 --> 00:53:27,960 Speaker 1: really what we try and do here the most on 1006 00:53:28,000 --> 00:53:31,040 Speaker 1: this show. And the more that you have these types 1007 00:53:31,040 --> 00:53:34,520 Speaker 1: of developments and look, this will just continue to get 1008 00:53:34,560 --> 00:53:38,040 Speaker 1: worse and worse because I guarantee you. Maybe the Biden 1009 00:53:38,120 --> 00:53:40,399 Speaker 1: people won't be as brazen, but there will be some 1010 00:53:40,880 --> 00:53:44,040 Speaker 1: similar giveaway to the rich inside of the Treasury Department, 1011 00:53:44,239 --> 00:53:47,040 Speaker 1: and it will just cascade and cascade, and like you said, 1012 00:53:47,120 --> 00:53:49,759 Speaker 1: then they'll like be geniuses and run Kamala and then 1013 00:53:49,840 --> 00:53:53,959 Speaker 1: trumble in again and then it's over. Like this whole thing, 1014 00:53:54,040 --> 00:53:57,160 Speaker 1: it's just at that point, the amount of capital that 1015 00:53:57,200 --> 00:53:59,399 Speaker 1: they've accumulated, what are they going to do. Let's bring 1016 00:53:59,440 --> 00:54:02,399 Speaker 1: it back too earlier the show. They're gonna buy your house, yeah, 1017 00:54:02,560 --> 00:54:06,200 Speaker 1: or they're gonna buy Black Rocket loan your neighborhood and yeah, 1018 00:54:06,320 --> 00:54:07,680 Speaker 1: by that time, they're gonna do that thing that New 1019 00:54:07,760 --> 00:54:09,920 Speaker 1: York City landlords do, and they're gonna like screw with 1020 00:54:09,960 --> 00:54:13,239 Speaker 1: your property until you sell to them and drive you out. 1021 00:54:13,280 --> 00:54:15,120 Speaker 1: And they're gonna make it so that you can't buy 1022 00:54:15,120 --> 00:54:17,279 Speaker 1: a house in this country. Soon you won't even own 1023 00:54:17,280 --> 00:54:20,320 Speaker 1: a car. You'll lease it from Black Rocket Blackstone, and 1024 00:54:20,360 --> 00:54:22,319 Speaker 1: you're not gonna own anything. The only thing they'll own 1025 00:54:22,400 --> 00:54:24,040 Speaker 1: is your cell phone so that they can track you 1026 00:54:24,080 --> 00:54:26,279 Speaker 1: all day and make sure that you know they go 1027 00:54:26,400 --> 00:54:28,680 Speaker 1: and they I'm starting to sound like Alex Jones, but 1028 00:54:29,520 --> 00:54:31,879 Speaker 1: you know I guess we're in the same city, so 1029 00:54:31,440 --> 00:54:36,240 Speaker 1: it's some of it's bleeding in. Well, yes, in happier news, 1030 00:54:36,440 --> 00:54:40,359 Speaker 1: we're excited to be on with your everything must be fun, 1031 00:54:40,480 --> 00:54:43,399 Speaker 1: maybe fucked, but at least we're gonna get to talk 1032 00:54:43,440 --> 00:54:47,000 Speaker 1: to a big audience about exactly what's going on, what's 1033 00:54:47,080 --> 00:54:49,120 Speaker 1: going on in the media. I know we're gonna I'm 1034 00:54:49,120 --> 00:54:51,920 Speaker 1: sure we're gonna dig in a lot into all of that. 1035 00:54:52,239 --> 00:54:56,160 Speaker 1: And honestly, I mean, look, you guys have shaken people 1036 00:54:56,239 --> 00:55:00,040 Speaker 1: up in terms of what you've accomplished. The support a 1037 00:55:00,120 --> 00:55:02,719 Speaker 1: lot of mainstream actors. I mean, they didn't even know 1038 00:55:02,760 --> 00:55:04,600 Speaker 1: we exist, They had no idea what we were doing. 1039 00:55:05,160 --> 00:55:08,000 Speaker 1: And so when in one week they see us popping 1040 00:55:08,080 --> 00:55:10,320 Speaker 1: up at the top of these charts, et cetera, was 1041 00:55:11,000 --> 00:55:14,920 Speaker 1: eye opening, eye opening moment. And so what does that 1042 00:55:15,000 --> 00:55:17,840 Speaker 1: actually mean? What does that portend? And that's not just 1043 00:55:17,880 --> 00:55:20,160 Speaker 1: about like Saga and I and what we're doing here, 1044 00:55:20,200 --> 00:55:22,200 Speaker 1: but what does that say about the country? What does 1045 00:55:22,239 --> 00:55:24,680 Speaker 1: that say about the media landscape where things are heading. 1046 00:55:24,719 --> 00:55:29,279 Speaker 1: There's kind of a great revolt underway as trust in 1047 00:55:29,320 --> 00:55:34,239 Speaker 1: these media institutions has completely collapsed and people are disgusted 1048 00:55:34,280 --> 00:55:37,160 Speaker 1: by some of the like over advertising, to all this 1049 00:55:37,239 --> 00:55:41,480 Speaker 1: stuff that just makes the whole enterprise feel sleazy and untrustworthy. 1050 00:55:41,560 --> 00:55:44,080 Speaker 1: So we'll dig into those pieces. I hope we get 1051 00:55:44,120 --> 00:55:45,840 Speaker 1: a chance to talk about some of this housing stuff 1052 00:55:45,840 --> 00:55:48,640 Speaker 1: that I think is incredibly important. And just look, the 1053 00:55:48,680 --> 00:55:51,920 Speaker 1: country is at a really the world, I would say, 1054 00:55:52,000 --> 00:55:54,799 Speaker 1: is at this great moment of uncertainty or in this 1055 00:55:54,880 --> 00:55:57,560 Speaker 1: kind of in between space right at least here in America, 1056 00:55:57,600 --> 00:56:00,680 Speaker 1: the pandemic is receding into the rear view me and 1057 00:56:00,719 --> 00:56:03,760 Speaker 1: now we're left evaluating the wreckage and all these weird 1058 00:56:03,840 --> 00:56:08,319 Speaker 1: financial metrics and potential bubbles and people starting to quit 1059 00:56:08,360 --> 00:56:11,799 Speaker 1: their jobs and consider a different way of living. What 1060 00:56:12,000 --> 00:56:14,080 Speaker 1: is this all going to amount to, who's ultimately going 1061 00:56:14,160 --> 00:56:16,520 Speaker 1: to benefit for it? How will it reshape our country? 1062 00:56:16,560 --> 00:56:19,439 Speaker 1: Those are gigantic questions that I don't think I think 1063 00:56:19,440 --> 00:56:21,319 Speaker 1: we all have to have a lot of humility about 1064 00:56:21,400 --> 00:56:24,200 Speaker 1: right now as we're pondering, because there's just such tremendous 1065 00:56:24,320 --> 00:56:26,759 Speaker 1: uncertainty in a million different directions that could go. This 1066 00:56:26,800 --> 00:56:28,880 Speaker 1: is what politics should be about. Politics should be about 1067 00:56:28,920 --> 00:56:31,800 Speaker 1: what does it mean? Mass Stolar put it well, today, 1068 00:56:32,000 --> 00:56:34,160 Speaker 1: politics is about what it's like to be a human 1069 00:56:34,200 --> 00:56:37,520 Speaker 1: in a society. It sounds very bland. But politics to 1070 00:56:37,560 --> 00:56:40,320 Speaker 1: people in DC is why do you support a January 1071 00:56:40,400 --> 00:56:43,520 Speaker 1: sixth commission? Or why you know what's going on in 1072 00:56:43,600 --> 00:56:46,560 Speaker 1: terms of you and putin? Are you gonna draw your 1073 00:56:46,600 --> 00:56:49,480 Speaker 1: red lines? And then meanwhile, people can't buy a house, 1074 00:56:49,719 --> 00:56:52,920 Speaker 1: black rocks eating it up, private equity guys getting tax cuts. 1075 00:56:53,200 --> 00:56:56,200 Speaker 1: You know, the Wuhan Institute of Virology ended up having bats. 1076 00:56:56,239 --> 00:56:59,120 Speaker 1: It turns out this whole thing is like a total 1077 00:56:59,200 --> 00:57:02,880 Speaker 1: lie and has been for a year. All of these 1078 00:57:02,920 --> 00:57:06,279 Speaker 1: things are happening, and I don't hear about it anywhere else. 1079 00:57:06,320 --> 00:57:08,560 Speaker 1: I'm so excited to talk to Joe. It's going to 1080 00:57:08,600 --> 00:57:11,640 Speaker 1: be a fun conversation. And yeah, it's important. I always 1081 00:57:11,680 --> 00:57:14,160 Speaker 1: see it. You know, our responsibility to try and elevate 1082 00:57:14,400 --> 00:57:17,800 Speaker 1: these types of deeper stories that have deep meaning and 1083 00:57:17,920 --> 00:57:21,480 Speaker 1: impact on people's lives and explain to them why the 1084 00:57:21,520 --> 00:57:24,760 Speaker 1: system is rigged against them, why the media is lying 1085 00:57:24,800 --> 00:57:27,680 Speaker 1: to you. Sometimes it's intentional, but many times that the 1086 00:57:27,720 --> 00:57:30,920 Speaker 1: system is built in such a way that lies are 1087 00:57:30,920 --> 00:57:34,600 Speaker 1: the only thing that they're capable of producing, or you know, 1088 00:57:35,200 --> 00:57:40,000 Speaker 1: miss mistruths or pointing people in a different direction. All 1089 00:57:40,000 --> 00:57:43,160 Speaker 1: of these things happened over years and understanding and getting 1090 00:57:43,200 --> 00:57:46,200 Speaker 1: to a new place can only happen through understanding. That's 1091 00:57:46,200 --> 00:57:47,400 Speaker 1: what Joe is the best at. And so I guess 1092 00:57:47,400 --> 00:57:50,280 Speaker 1: we'll have three hours to talk about it. Yeah, we'll 1093 00:57:50,280 --> 00:57:52,840 Speaker 1: talk about chimps too, We'll get to that. Yeah. Actually, 1094 00:57:52,920 --> 00:57:56,800 Speaker 1: Ryan Grim had a great tweet about the Wuhan bats 1095 00:57:56,880 --> 00:57:58,800 Speaker 1: in the lab thing. He was like they were running 1096 00:57:58,800 --> 00:58:02,320 Speaker 1: a wet market at the lit everybody was right, turn 1097 00:58:06,440 --> 00:58:08,520 Speaker 1: that would that would be something else, That would be 1098 00:58:08,600 --> 00:58:13,520 Speaker 1: something else. So just to review the slightly somewhat modified, 1099 00:58:13,960 --> 00:58:17,880 Speaker 1: quite modified schedule, So to today's show, we're gonna go 1100 00:58:17,960 --> 00:58:21,000 Speaker 1: We're gonna be on with Rogan Well that will post. 1101 00:58:21,000 --> 00:58:24,240 Speaker 1: Whenever that post, We're gonna have something like that. We're 1102 00:58:24,240 --> 00:58:27,920 Speaker 1: gonna have a surprise for you guys on Thursday in 1103 00:58:28,000 --> 00:58:31,160 Speaker 1: lieu of the normal show. We'll be back on Friday 1104 00:58:31,400 --> 00:58:36,960 Speaker 1: in the studio with Soccer's beloved desk for a normal 1105 00:58:36,960 --> 00:58:39,160 Speaker 1: show on Friday and then everything. We'll be back to 1106 00:58:39,440 --> 00:58:42,560 Speaker 1: the new normal schedule next week. So thanks for hanging 1107 00:58:42,600 --> 00:58:44,240 Speaker 1: in with us, guys, But I think you'll be excited 1108 00:58:44,240 --> 00:58:45,640 Speaker 1: about all these time. You guys are going to be 1109 00:58:45,640 --> 00:58:48,200 Speaker 1: really pumped apologies to everybody. We don't have a credit 1110 00:58:48,240 --> 00:58:50,480 Speaker 1: section or whatever in the show or you know, we 1111 00:58:50,520 --> 00:58:54,440 Speaker 1: have a very skeleton crew here down in Austin. Yeah, Friday, 1112 00:58:54,560 --> 00:58:57,120 Speaker 1: the normal show will be back all out. Lifetime members 1113 00:58:57,120 --> 00:58:59,040 Speaker 1: who are inquiring your name will be in the credit 1114 00:58:59,120 --> 00:59:02,760 Speaker 1: section then, I know. We update it weekly, just so 1115 00:59:02,800 --> 00:59:05,360 Speaker 1: everybody knows in terms of when people sign up. And 1116 00:59:05,400 --> 00:59:07,439 Speaker 1: we're working on the blacks guy. Yes, those I work 1117 00:59:08,040 --> 00:59:11,320 Speaker 1: so literally, they're literally being engraved in somewhere a couple 1118 00:59:11,320 --> 00:59:13,400 Speaker 1: states away. I'm not sure. Yeah, whatever, they'll be here 1119 00:59:13,480 --> 00:59:15,600 Speaker 1: very soon. Shout out to all of you. If you 1120 00:59:15,600 --> 00:59:17,720 Speaker 1: guys want to become a Premium member, you get to 1121 00:59:17,720 --> 00:59:20,760 Speaker 1: listen to the show completely uncut. You also can watch 1122 00:59:20,800 --> 00:59:22,920 Speaker 1: it uncut, you know, not as clips, all of that, 1123 00:59:22,960 --> 00:59:25,360 Speaker 1: and really just support the work of trying to bring 1124 00:59:25,400 --> 00:59:28,320 Speaker 1: people together here more. Their link is right there down 1125 00:59:28,360 --> 00:59:31,320 Speaker 1: in the description or Crystal Onsager dot com if you're 1126 00:59:31,360 --> 00:59:34,040 Speaker 1: listening there. Oh we own Breaking Points dot com now too, actually, 1127 00:59:34,080 --> 00:59:35,800 Speaker 1: so you can go there too. You can also check 1128 00:59:35,800 --> 00:59:38,200 Speaker 1: that one out. Anyway. We love you, guys. We're so 1129 00:59:38,240 --> 00:59:40,800 Speaker 1: excited to be here in Austin and to talk to 1130 00:59:40,880 --> 00:59:42,959 Speaker 1: Joe Rogan and We will see you all. I guess 1131 00:59:43,000 --> 00:59:46,800 Speaker 1: what tomorrow. Yeah, we'll see you tomorrow if you're watching 1132 00:59:46,840 --> 00:59:49,080 Speaker 1: on Rogan's channel, see you on Thursday if you're watching 1133 00:59:49,080 --> 00:59:50,720 Speaker 1: on our channel for our big surprise, and we'll see 1134 00:59:50,760 --> 00:59:53,000 Speaker 1: you back in the studio with the beautiful new desk 1135 00:59:53,160 --> 00:59:55,520 Speaker 1: on Friday. That's right. No matter what day it is, 1136 00:59:55,640 --> 00:59:58,000 Speaker 1: you can't escape us. Guys. We'll be We'll have something 1137 00:59:58,040 --> 01:00:00,760 Speaker 1: going up somewhere, so enjoy. Guys. We'll see you soon.