1 00:00:00,240 --> 00:00:02,360 Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal 2 00:00:02,360 --> 00:00:04,280 Speaker 1: and Sager. We're going to be totally upfront with you. 3 00:00:04,400 --> 00:00:07,200 Speaker 1: We took a big risk going independent to make this work. 4 00:00:07,320 --> 00:00:11,920 Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC. 5 00:00:12,240 --> 00:00:15,800 Speaker 1: They are ripping this country apart. They are making millions 6 00:00:15,800 --> 00:00:18,400 Speaker 1: of dollars doing it to help support our mission of 7 00:00:18,440 --> 00:00:20,720 Speaker 1: making all of us hate each other, less hate the 8 00:00:20,760 --> 00:00:24,000 Speaker 1: corrupt ruling class more support the show. 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We have an amazing show for everybody today. 19 00:01:07,680 --> 00:01:10,279 Speaker 1: What do we have Bristol? Indeed we do. We actually 20 00:01:10,319 --> 00:01:12,399 Speaker 1: got two members of Congress on a Republican and a 21 00:01:12,440 --> 00:01:15,160 Speaker 1: Democrat who've been working together on some antitrust stuff, So 22 00:01:15,200 --> 00:01:17,280 Speaker 1: that should be really interesting to dig into to see 23 00:01:17,280 --> 00:01:19,399 Speaker 1: what the possibilities are if they're actually on the same 24 00:01:19,400 --> 00:01:21,440 Speaker 1: page with regard to what they want to do. We 25 00:01:21,520 --> 00:01:25,240 Speaker 1: got an update for you on Lincoln Project grifting as 26 00:01:25,280 --> 00:01:29,520 Speaker 1: well as some liberal mass hypocrisy, good old fashioned stuff. 27 00:01:30,319 --> 00:01:34,759 Speaker 1: Also update on media misinformation and how the New York Times, 28 00:01:34,840 --> 00:01:37,160 Speaker 1: Washington Post and some of the most prominent outlets in 29 00:01:37,200 --> 00:01:42,320 Speaker 1: the entire country have been hurting the case for vaccines dramatically. 30 00:01:42,880 --> 00:01:45,120 Speaker 1: But we wanted to start with what is, frankly, in 31 00:01:45,200 --> 00:01:49,760 Speaker 1: my opinion, one of the most shameful and unconscionable acts 32 00:01:49,800 --> 00:01:52,280 Speaker 1: I have seen come out of DC in a long, 33 00:01:52,800 --> 00:01:55,680 Speaker 1: long time. Okay, so here's the context. You all know 34 00:01:55,800 --> 00:01:58,880 Speaker 1: that the CDC under the Trump administration, he pushed in 35 00:01:59,000 --> 00:02:03,800 Speaker 1: a fiction moratory that expired over the weekend. Okay, So 36 00:02:03,880 --> 00:02:06,720 Speaker 1: the courts were uncomfortable with this moratorium for a while, 37 00:02:06,760 --> 00:02:08,600 Speaker 1: and it actually went up to the Supreme Court. The 38 00:02:08,639 --> 00:02:11,800 Speaker 1: Supreme Court allowed it to stand, but said, listen, if 39 00:02:11,840 --> 00:02:13,919 Speaker 1: you're going to extend this any longer, you're going to 40 00:02:14,000 --> 00:02:16,480 Speaker 1: have to go through it. You have to pass an activity. 41 00:02:16,520 --> 00:02:19,120 Speaker 1: You've got to go through Congress. Its basically Brett Kavanaugh, 42 00:02:19,120 --> 00:02:21,280 Speaker 1: who sort of pushed that idea of like, look, okay, 43 00:02:21,320 --> 00:02:23,480 Speaker 1: we'll let you go this far through July thirty first, 44 00:02:23,639 --> 00:02:25,679 Speaker 1: but if you're going to go through any further, you've 45 00:02:25,680 --> 00:02:28,080 Speaker 1: got to go through Congress. Well, we've known that for 46 00:02:28,120 --> 00:02:30,840 Speaker 1: a month. Has the Biden administration done anything? No, they 47 00:02:30,880 --> 00:02:35,079 Speaker 1: have not nothing. So approximately three minutes before this thing 48 00:02:35,160 --> 00:02:38,400 Speaker 1: was set to expire, they go to the House and say, oh, guys, 49 00:02:38,480 --> 00:02:41,520 Speaker 1: the eviction moratorium it's going to expire. And guess what. 50 00:02:41,560 --> 00:02:45,680 Speaker 1: We've got fifteen million Americans who are behind on there, 51 00:02:45,680 --> 00:02:47,760 Speaker 1: who live in households that are behind on their rent, 52 00:02:48,200 --> 00:02:50,760 Speaker 1: four million who say they might be in danger of 53 00:02:50,800 --> 00:02:53,920 Speaker 1: getting evicted. We've got the delta variant surging, and we'll 54 00:02:53,960 --> 00:02:56,519 Speaker 1: get into more of that later in the show. Maybe 55 00:02:56,600 --> 00:02:59,600 Speaker 1: y'all should do something about this eviction moratorium. Okay, let's 56 00:02:59,600 --> 00:03:03,120 Speaker 1: throw this tear sheet from CNN up on the screen. Well, 57 00:03:03,280 --> 00:03:10,680 Speaker 1: Democrats put up the most pathetic, perfunctory theater around attempting 58 00:03:10,720 --> 00:03:13,240 Speaker 1: to pass this eviction moratorium. I got to read you 59 00:03:13,240 --> 00:03:15,640 Speaker 1: this quote from Nancy Pelosi because this is insane Basically 60 00:03:15,720 --> 00:03:19,840 Speaker 1: what happened is they went and asked for unanimous consent 61 00:03:20,280 --> 00:03:23,560 Speaker 1: to pass this eviction wartorium. Of course, not a single 62 00:03:23,639 --> 00:03:27,320 Speaker 1: Republican gives a shit that the eviction moratorium is ending. 63 00:03:27,520 --> 00:03:30,440 Speaker 1: So immediately one Republican says, no, I object to the 64 00:03:30,520 --> 00:03:32,880 Speaker 1: unanimous consent vote, meaning I'm not going to let you 65 00:03:32,919 --> 00:03:35,040 Speaker 1: do this, just on a voice vote with everybody agreeing. 66 00:03:35,280 --> 00:03:39,280 Speaker 1: And I said, oh, those battle Republicans, they're standing in 67 00:03:39,280 --> 00:03:41,720 Speaker 1: the way. Too bad. We're all going home on vacation. 68 00:03:42,040 --> 00:03:45,040 Speaker 1: So here's what Pelosi. Here's what Pelosi, the Speaker of 69 00:03:45,040 --> 00:03:49,360 Speaker 1: the House said. She said, we only learned of this yesterday. 70 00:03:49,920 --> 00:03:53,160 Speaker 1: There was not enough time to socialize it within our caucus, 71 00:03:53,240 --> 00:03:57,360 Speaker 1: as well as to build a consensus necessary. Okay, got that. 72 00:03:57,880 --> 00:04:01,240 Speaker 1: First of all, shame on Joe By and his administration 73 00:04:01,440 --> 00:04:03,760 Speaker 1: for not paying a lick of attention to this until 74 00:04:03,800 --> 00:04:06,640 Speaker 1: it was way way too late. Second of all, shame 75 00:04:06,760 --> 00:04:10,080 Speaker 1: on all of these Democrats for also not paying a 76 00:04:10,120 --> 00:04:12,880 Speaker 1: lick of attention to this. You didn't know. There wasn't 77 00:04:12,960 --> 00:04:15,040 Speaker 1: enough time. We have known that this was going to 78 00:04:15,160 --> 00:04:18,240 Speaker 1: end r S. Yet we knew for over a month 79 00:04:18,400 --> 00:04:20,440 Speaker 1: that the court said you had to do it through Congress. 80 00:04:20,600 --> 00:04:22,520 Speaker 1: We've known since the beginning of the program that this 81 00:04:22,560 --> 00:04:24,919 Speaker 1: is when it was said to end. What are you 82 00:04:25,040 --> 00:04:29,760 Speaker 1: talking about? So just an unconscionable situation. They're trying to 83 00:04:29,800 --> 00:04:32,160 Speaker 1: pretend like it's just the Republican's fault when the truth 84 00:04:32,200 --> 00:04:34,240 Speaker 1: of the matter is and we'll get to this at 85 00:04:34,240 --> 00:04:36,839 Speaker 1: a moment. The Democrats, there are plenty of Democrats who 86 00:04:36,880 --> 00:04:40,320 Speaker 1: also don't want to extend this as well. You also 87 00:04:40,360 --> 00:04:43,920 Speaker 1: have this rental assistance program that was passed. The money 88 00:04:44,040 --> 00:04:47,160 Speaker 1: was appropriated has been a total failure in terms of 89 00:04:47,200 --> 00:04:48,680 Speaker 1: getting the money out the door. I think we have 90 00:04:48,720 --> 00:04:52,600 Speaker 1: a Washington Post tear sheet that shows just how pathetic 91 00:04:52,640 --> 00:04:55,359 Speaker 1: a failure that program was, which we have known and 92 00:04:55,400 --> 00:04:57,719 Speaker 1: covered for months now. This was not a secret. We 93 00:04:57,800 --> 00:05:01,440 Speaker 1: have known this. About fifty billion has been appropriated, only 94 00:05:01,480 --> 00:05:04,799 Speaker 1: about three billion has gone out. According to this Washington 95 00:05:04,800 --> 00:05:07,680 Speaker 1: Post report, they've been doing a good job tracking this 96 00:05:08,360 --> 00:05:11,520 Speaker 1: to thirty six out of more than four hundred states 97 00:05:11,520 --> 00:05:14,480 Speaker 1: and counties have spent even half of the money. New 98 00:05:14,520 --> 00:05:17,240 Speaker 1: York State hasn't spent a penny, and they've gotten over 99 00:05:17,279 --> 00:05:19,359 Speaker 1: eight hundred million just in the first round of funds 100 00:05:19,360 --> 00:05:24,120 Speaker 1: that were appropriated total disaster that could have been averted. 101 00:05:24,520 --> 00:05:26,960 Speaker 1: All the information you needed was there, and they just 102 00:05:27,040 --> 00:05:29,200 Speaker 1: decided not to do anything. Yeah, they did not. They 103 00:05:29,200 --> 00:05:32,080 Speaker 1: only spent three billion out of the twenty five billion 104 00:05:32,120 --> 00:05:35,320 Speaker 1: that were appropriated from Congress in December. So that means 105 00:05:35,320 --> 00:05:38,159 Speaker 1: over the last six months, I spent three billion dollars. 106 00:05:38,200 --> 00:05:40,440 Speaker 1: And there was the second round of appropriations in the 107 00:05:40,440 --> 00:05:43,040 Speaker 1: Biden bill that brought the total up to fifty billion, 108 00:05:43,160 --> 00:05:46,480 Speaker 1: and they've only spent three billion. So think about that 109 00:05:46,520 --> 00:05:49,120 Speaker 1: once again, which is that they're so terrible at this 110 00:05:49,240 --> 00:05:51,160 Speaker 1: that they have the money, they just haven't been able 111 00:05:51,160 --> 00:05:53,520 Speaker 1: to put it out. And while they were dithering, people 112 00:05:53,560 --> 00:05:56,600 Speaker 1: were on the brink and now they're facing eviction and 113 00:05:56,640 --> 00:05:59,440 Speaker 1: now they're saying that they can't even pass or an 114 00:05:59,440 --> 00:06:02,880 Speaker 1: extension of the moratorium. And once again, legally, it actually 115 00:06:03,000 --> 00:06:05,640 Speaker 1: was pretty dicey for the CDSA suggests to come in 116 00:06:05,720 --> 00:06:09,279 Speaker 1: and like basically supersede all of housing law and be 117 00:06:09,360 --> 00:06:11,640 Speaker 1: like it's over. I think all of us are okay 118 00:06:11,680 --> 00:06:14,240 Speaker 1: with that, and you know, in a major, major situation, 119 00:06:14,440 --> 00:06:16,159 Speaker 1: but the court stepped in and said, hey, look like 120 00:06:16,200 --> 00:06:18,680 Speaker 1: we're not saying this isn't a good idea, but Congress, 121 00:06:18,760 --> 00:06:21,440 Speaker 1: you guys should probably step in and do something about it. 122 00:06:21,760 --> 00:06:27,599 Speaker 1: And it's just everybody has known this was going to happen. 123 00:06:27,720 --> 00:06:30,240 Speaker 1: We knew about it the right so we knew about it, 124 00:06:30,279 --> 00:06:32,680 Speaker 1: but apparently they didn't. And the best part is, I 125 00:06:32,720 --> 00:06:35,080 Speaker 1: want to explain a little bit more of the legislative mechanics. 126 00:06:35,120 --> 00:06:38,440 Speaker 1: So whenever somebody objects the unanimous consent, it means they 127 00:06:38,440 --> 00:06:41,800 Speaker 1: can't just pass it by a voice vote, right, So instead, 128 00:06:41,880 --> 00:06:44,120 Speaker 1: what she's saying is, well, they're blaming the Republicans for 129 00:06:44,200 --> 00:06:47,520 Speaker 1: object one Republican, I guess, for objecting to the voice 130 00:06:47,600 --> 00:06:50,600 Speaker 1: vote on the unanimous consent order, which only means that 131 00:06:50,640 --> 00:06:52,760 Speaker 1: they would have to call a vote. And what she 132 00:06:52,920 --> 00:06:54,960 Speaker 1: is saying is is that they didn't want to call 133 00:06:55,000 --> 00:06:57,720 Speaker 1: a vote. Now, implicitly, it could be that there were 134 00:06:57,720 --> 00:07:00,360 Speaker 1: some Democrats who wanted to vote against it or would 135 00:07:00,360 --> 00:07:02,800 Speaker 1: have voted for that extension. If that's the case, hey, 136 00:07:03,040 --> 00:07:05,760 Speaker 1: let's salute their names, right, let's learn also all the 137 00:07:05,800 --> 00:07:08,400 Speaker 1: republic everybody, make them vote. But this is how they 138 00:07:08,480 --> 00:07:12,960 Speaker 1: hide behind legislative mechanics by blaming somebody for objecting to 139 00:07:13,080 --> 00:07:15,840 Speaker 1: the order then necessarily actually calling for a vote. They 140 00:07:15,920 --> 00:07:18,040 Speaker 1: never even wanted to bring it to the floor, And 141 00:07:18,080 --> 00:07:21,080 Speaker 1: I think that that's really what makes sense. Its so ridiculous. 142 00:07:21,760 --> 00:07:24,960 Speaker 1: The best part is Pelosi's top lieutenant said, we'll revisit 143 00:07:25,000 --> 00:07:27,520 Speaker 1: it after the break. Well, okay, right now, it's actually 144 00:07:27,560 --> 00:07:29,800 Speaker 1: pretty unclear how long that break is going to last. 145 00:07:30,000 --> 00:07:33,080 Speaker 1: Could be a couple weeks, could be like six weeks now, 146 00:07:33,480 --> 00:07:36,600 Speaker 1: six weeks from now. When people are evicted, What does 147 00:07:36,640 --> 00:07:39,160 Speaker 1: it matter if you come in and you pass a 148 00:07:39,240 --> 00:07:41,440 Speaker 1: renewed more target, like are you going to put people 149 00:07:41,600 --> 00:07:44,720 Speaker 1: back in their house? How about maybe we punish these 150 00:07:44,800 --> 00:07:48,400 Speaker 1: agencies or some of these other people and say, hey, like, 151 00:07:48,480 --> 00:07:51,160 Speaker 1: why are you doing such a terrible job of distributing 152 00:07:51,400 --> 00:07:54,920 Speaker 1: any of this money. I mean, if you were qualified 153 00:07:55,000 --> 00:07:58,200 Speaker 1: for rent assistance, didn't get it, and are now going 154 00:07:58,280 --> 00:08:01,440 Speaker 1: to be evicted, you have a pretty good case against 155 00:08:01,520 --> 00:08:04,680 Speaker 1: the government that it's their fault for for that you 156 00:08:04,920 --> 00:08:07,600 Speaker 1: just got kicked out on your ass. I mean, what 157 00:08:07,680 --> 00:08:10,680 Speaker 1: is happening here. It's a total breakdown of government basically 158 00:08:10,720 --> 00:08:13,360 Speaker 1: all the way up and down the chain. And look, 159 00:08:13,400 --> 00:08:15,640 Speaker 1: I feel for it. You know, even people have contacted 160 00:08:15,680 --> 00:08:19,360 Speaker 1: us about the smaller landlords and almsot people seriously, And 161 00:08:19,360 --> 00:08:21,960 Speaker 1: that's why I supported this rental assistance. Say, that's why 162 00:08:21,960 --> 00:08:24,200 Speaker 1: the government should you know, step in, be like, look, 163 00:08:24,200 --> 00:08:26,960 Speaker 1: it's a pandemic right now, let's figure this thing out, 164 00:08:27,000 --> 00:08:29,080 Speaker 1: pay that and then we can settle do you know, 165 00:08:29,120 --> 00:08:31,800 Speaker 1: settle debts later. But this is just pitting people against 166 00:08:31,840 --> 00:08:34,320 Speaker 1: each other. The small landlord has no choice, the renter 167 00:08:34,440 --> 00:08:37,160 Speaker 1: also doesn't have a choice, and then the government comes in, 168 00:08:37,400 --> 00:08:39,960 Speaker 1: doesn't give them money, lets the thing expire, and it 169 00:08:40,040 --> 00:08:43,679 Speaker 1: just screws everybody. It's the worst situation all the way around. Well, 170 00:08:43,720 --> 00:08:46,560 Speaker 1: and here's what this all reveals too. All they ever 171 00:08:46,679 --> 00:08:49,120 Speaker 1: cared about was the theater of it. All they ever 172 00:08:49,200 --> 00:08:51,400 Speaker 1: cared about was having the talking point of oh look 173 00:08:51,400 --> 00:08:54,280 Speaker 1: how much help we gave that fifty billion dollars and 174 00:08:54,360 --> 00:08:57,520 Speaker 1: rental assistants went out the door, aren't we so amazing? 175 00:08:57,559 --> 00:09:01,680 Speaker 1: And oh we really tried to extend and the eviction moratorium, 176 00:09:01,679 --> 00:09:06,520 Speaker 1: but those battled Republicans they blocked it. You control the Presidency, 177 00:09:06,840 --> 00:09:10,720 Speaker 1: the Senate, and the House. Okay, yes, the Republicans suck. 178 00:09:10,960 --> 00:09:13,320 Speaker 1: Not a single one of them cares about this at all. 179 00:09:13,600 --> 00:09:15,560 Speaker 1: But you didn't even try. You didn't even try to 180 00:09:15,559 --> 00:09:17,920 Speaker 1: have a voice vote. You wait until the last second. 181 00:09:18,040 --> 00:09:19,920 Speaker 1: You want to pretend like, oh, who could have known 182 00:09:19,960 --> 00:09:22,559 Speaker 1: that this was gonna happen? Give me a break. This data, 183 00:09:22,600 --> 00:09:25,839 Speaker 1: all of this data. We have covered every single piece 184 00:09:25,840 --> 00:09:27,439 Speaker 1: of this data, from the number of people who were 185 00:09:27,440 --> 00:09:30,400 Speaker 1: behind on the rent, to the fact that this assistance 186 00:09:30,600 --> 00:09:33,040 Speaker 1: was not going out, to the fact that this eviction 187 00:09:33,120 --> 00:09:35,920 Speaker 1: moratorium was set to end. And by the way, there 188 00:09:35,960 --> 00:09:39,240 Speaker 1: were a lot of loopholes even during the eviction moratorium 189 00:09:39,559 --> 00:09:42,760 Speaker 1: that allowed landlords to push people out. But it's about 190 00:09:42,800 --> 00:09:47,320 Speaker 1: to be far, far worse. This is an absolute and 191 00:09:47,360 --> 00:09:50,880 Speaker 1: complete disaster, and the design of that program was so 192 00:09:51,080 --> 00:09:54,080 Speaker 1: flawed from the start because they pushed it to states 193 00:09:54,360 --> 00:09:57,440 Speaker 1: and to local governments who were not set up for this. 194 00:09:57,960 --> 00:10:00,840 Speaker 1: Some of them did a decent job, some of them 195 00:10:00,920 --> 00:10:03,480 Speaker 1: did a horrifict job. And not a single dollar has 196 00:10:03,520 --> 00:10:06,440 Speaker 1: gone out the door in so many jurisdictions across the 197 00:10:06,440 --> 00:10:09,120 Speaker 1: country where you have people who were hurt by the pandemic, 198 00:10:09,400 --> 00:10:12,360 Speaker 1: no fallot of their own, who fully qualified for this assistance, 199 00:10:12,400 --> 00:10:15,559 Speaker 1: and they are getting absolutely no help because the federal 200 00:10:15,600 --> 00:10:18,400 Speaker 1: government kicked this down to the states and the localities 201 00:10:18,640 --> 00:10:21,400 Speaker 1: and hoped that they would be able to effectively implement 202 00:10:21,400 --> 00:10:23,440 Speaker 1: a program. We know how hard some of these states 203 00:10:23,440 --> 00:10:25,920 Speaker 1: and municipalities have been hit as well, and how many 204 00:10:25,920 --> 00:10:28,040 Speaker 1: things that they're struggling to keep up with. Some of 205 00:10:28,080 --> 00:10:30,719 Speaker 1: them created this insane amount of paperwork that no one 206 00:10:30,720 --> 00:10:33,560 Speaker 1: could possibly be able to get through. Some of them 207 00:10:33,600 --> 00:10:36,120 Speaker 1: just weren't able to come up with a program whatsoever 208 00:10:36,840 --> 00:10:41,280 Speaker 1: that worked at all, or contracted with other nonprofits in 209 00:10:41,280 --> 00:10:44,240 Speaker 1: the local area that failed at their job. I mean, again, 210 00:10:44,760 --> 00:10:48,480 Speaker 1: everyone knew this was going on and did nothing to 211 00:10:48,679 --> 00:10:52,360 Speaker 1: stop it. So there is one group who seems to 212 00:10:52,480 --> 00:10:56,480 Speaker 1: at least somewhat care, Corey Bush and other members of 213 00:10:56,480 --> 00:10:59,280 Speaker 1: the squad. They have been camping out outside the capitol 214 00:10:59,360 --> 00:11:03,040 Speaker 1: to raise aw is, demanding that their colleagues come back 215 00:11:03,400 --> 00:11:06,240 Speaker 1: to try to pass an eviction moratorium. I want to 216 00:11:06,280 --> 00:11:08,560 Speaker 1: give them credit for being seemingly the only ones we 217 00:11:08,559 --> 00:11:11,440 Speaker 1: even care at all, But again, the question always is 218 00:11:11,440 --> 00:11:13,680 Speaker 1: with them, what are you going to do about it? Okay, 219 00:11:13,960 --> 00:11:16,200 Speaker 1: you're going to write a strongly worded letter again and 220 00:11:16,240 --> 00:11:18,719 Speaker 1: have it ignored again, or are you actually going to 221 00:11:18,760 --> 00:11:22,760 Speaker 1: say we are not voting for any of your priorities 222 00:11:22,920 --> 00:11:25,720 Speaker 1: until we get an eviction moratorium. We're not voting for 223 00:11:25,760 --> 00:11:28,840 Speaker 1: your stupid infrastructure bill. We're not voting for any of them. 224 00:11:28,880 --> 00:11:32,520 Speaker 1: Must pass legislation nothing. You will not have our vote 225 00:11:32,800 --> 00:11:36,319 Speaker 1: until we get serious and pass an eviction an extension 226 00:11:36,320 --> 00:11:39,640 Speaker 1: of eviction moratorium. Are you going to do that? They 227 00:11:39,679 --> 00:11:41,880 Speaker 1: aren't saying that so far. And there was a very 228 00:11:41,920 --> 00:11:46,760 Speaker 1: disheartening exchange between Corey Bush, Congresswoman Bush and Max Blumenthal 229 00:11:47,280 --> 00:11:49,680 Speaker 1: where he's trying to press her on how hard she's 230 00:11:49,760 --> 00:11:52,400 Speaker 1: going to be willing to go here given how not 231 00:11:52,559 --> 00:11:54,600 Speaker 1: hard they've gone on the path in the past on 232 00:11:54,640 --> 00:11:56,319 Speaker 1: any of these things. Let's take a listen to a 233 00:11:56,360 --> 00:12:00,800 Speaker 1: bit of that exchange. No, No, So one thing that 234 00:12:00,880 --> 00:12:02,920 Speaker 1: was said last night was just something that's very true. 235 00:12:03,120 --> 00:12:04,800 Speaker 1: And I wish we would have talked about that. This 236 00:12:04,880 --> 00:12:07,120 Speaker 1: was where your conversation was going, because we're talking about 237 00:12:07,160 --> 00:12:09,600 Speaker 1: the rally for tonight and I really would love to 238 00:12:09,679 --> 00:12:11,880 Speaker 1: keep the conversation on what's happened. I feel like it's 239 00:12:12,040 --> 00:12:14,960 Speaker 1: related to healthcare, and and it absolutely is. But this 240 00:12:15,080 --> 00:12:18,040 Speaker 1: is the thing what was said last night is that 241 00:12:18,840 --> 00:12:22,640 Speaker 1: this bill Medicare for All, is not There's no person 242 00:12:22,679 --> 00:12:27,959 Speaker 1: on the squad whose bill that is that is Bernie 243 00:12:28,160 --> 00:12:31,880 Speaker 1: Sanders bill in the Senate, it is Pamela Jaiah Paul's bill. 244 00:12:32,240 --> 00:12:35,840 Speaker 1: In the House, it is not our bill. We cannot 245 00:12:36,120 --> 00:12:38,960 Speaker 1: make that bill come to the floor. There is nothing 246 00:12:38,960 --> 00:12:41,480 Speaker 1: that we can do legally to get the bill to 247 00:12:41,559 --> 00:12:44,600 Speaker 1: the floor. We have could have brought the bill to 248 00:12:44,640 --> 00:12:52,040 Speaker 1: the floor. Thank you. Well, I'm sorry talk about but 249 00:12:52,120 --> 00:12:57,720 Speaker 1: I feel like it's all about healthcare. Thank yous. At 250 00:12:57,720 --> 00:13:00,800 Speaker 1: the margin, you could see her staff were the ones 251 00:13:00,800 --> 00:13:03,760 Speaker 1: who said were some staffers, organizers whatever step in there 252 00:13:03,800 --> 00:13:06,040 Speaker 1: to shut the interview down the moment in life that 253 00:13:06,120 --> 00:13:08,400 Speaker 1: she was actually getting pressed on, how hard are you 254 00:13:08,440 --> 00:13:11,240 Speaker 1: going to go? Right? And Max is one hundred percent right. 255 00:13:11,280 --> 00:13:14,040 Speaker 1: Healthcare is very relevant to the conversation. We've also covered 256 00:13:14,080 --> 00:13:16,800 Speaker 1: the data here about the way that evictions helped to 257 00:13:16,840 --> 00:13:20,480 Speaker 1: spread coronavirus, so entirely Germane to the conversation, so Germane 258 00:13:20,520 --> 00:13:24,559 Speaker 1: and the conversation of like, look you're out here. That's great, 259 00:13:24,840 --> 00:13:27,720 Speaker 1: Like that's awesome that you're actually willing to call some 260 00:13:27,760 --> 00:13:30,160 Speaker 1: attention to this and be serious about this is a 261 00:13:30,200 --> 00:13:32,920 Speaker 1: problem and something we care about. But don't pretend like 262 00:13:33,000 --> 00:13:35,680 Speaker 1: you're impotent, don't pretend like you have no power, don't 263 00:13:35,679 --> 00:13:38,120 Speaker 1: pretend like you can't that you have no tools at 264 00:13:38,120 --> 00:13:42,160 Speaker 1: your disposal to actually force some kind of action, some 265 00:13:42,280 --> 00:13:46,200 Speaker 1: kind of flashpoint, sometimes some kind of fight, Like don't 266 00:13:46,240 --> 00:13:48,880 Speaker 1: pretend that you don't have that ability and are just 267 00:13:48,960 --> 00:13:52,400 Speaker 1: choosing not to exercise it here. So, like I said, 268 00:13:52,520 --> 00:13:56,199 Speaker 1: pretty disheartening exchange in terms of any sort of hope 269 00:13:56,200 --> 00:13:58,400 Speaker 1: that these folks are going to really use the power 270 00:13:58,440 --> 00:14:00,280 Speaker 1: that they have to get something done. It's just really 271 00:14:00,320 --> 00:14:04,000 Speaker 1: shocking from a coalitional point of view, because what the 272 00:14:04,040 --> 00:14:07,400 Speaker 1: Tea Party did in twenty ten, in twenty eleven is 273 00:14:07,440 --> 00:14:10,040 Speaker 1: they came in and they were like, Okay, well there's 274 00:14:10,160 --> 00:14:12,480 Speaker 1: enough of us where we can block anything we want, 275 00:14:12,640 --> 00:14:15,560 Speaker 1: and we actually will, and they made John Bayner's life 276 00:14:15,840 --> 00:14:19,440 Speaker 1: hell complete hell on Earth. They tanked multiple debt deals 277 00:14:19,480 --> 00:14:22,640 Speaker 1: and whatever that the Obama administration had passed. They forced 278 00:14:22,960 --> 00:14:25,920 Speaker 1: votes on like the debt ceiling. Oh I'm not saying 279 00:14:25,920 --> 00:14:27,720 Speaker 1: I agree with many of these things, but they did 280 00:14:27,720 --> 00:14:31,440 Speaker 1: get it done, and they frankly had harder margins than 281 00:14:31,440 --> 00:14:33,400 Speaker 1: the Democrats have right now, they only have a three 282 00:14:33,760 --> 00:14:37,160 Speaker 1: houseboat majority. I'll give it to Congressman Rocanna, who will 283 00:14:37,200 --> 00:14:39,240 Speaker 1: have on the show tomorrow. We're going to be talking 284 00:14:39,240 --> 00:14:41,520 Speaker 1: to him a little bit, he actually is at least 285 00:14:41,520 --> 00:14:43,920 Speaker 1: telling the truth about his own caucus. In a more 286 00:14:43,960 --> 00:14:45,840 Speaker 1: recent interview about this, let's take to listen to what 287 00:14:45,880 --> 00:14:49,200 Speaker 1: he had to say. A lot of people, millions of 288 00:14:49,240 --> 00:14:56,200 Speaker 1: Americans potentially are going to be upended when this moratorium lapses. Gosh, 289 00:14:56,360 --> 00:14:58,800 Speaker 1: I'm just going to be blunt. There's more than frustration. 290 00:14:58,960 --> 00:15:02,640 Speaker 1: There is outbreak age at what happened today. Corey Bush, 291 00:15:02,720 --> 00:15:06,800 Speaker 1: who has been on House, spoke so eloquently about why 292 00:15:06,840 --> 00:15:11,240 Speaker 1: we need to extend the moratorium so people aren't this 293 00:15:11,600 --> 00:15:15,000 Speaker 1: week coming week kicked out of their homes. Maxime Waters 294 00:15:15,000 --> 00:15:17,280 Speaker 1: had a bill to extend it. We said we could 295 00:15:17,280 --> 00:15:19,320 Speaker 1: extend it, if not till the end of the year, 296 00:15:19,440 --> 00:15:23,200 Speaker 1: at least a few months, and the leadership has refused 297 00:15:23,440 --> 00:15:25,600 Speaker 1: to bring in for a vote. And the reason they're 298 00:15:25,600 --> 00:15:28,440 Speaker 1: not bringing in for a vote is that some Democrats 299 00:15:28,720 --> 00:15:32,000 Speaker 1: privately have tried to kill this bill because of special 300 00:15:32,000 --> 00:15:37,600 Speaker 1: interests of realtors and other groups. That's you said it, 301 00:15:37,720 --> 00:15:42,400 Speaker 1: That's truth right there at the end. Some Democrats did 302 00:15:42,440 --> 00:15:47,320 Speaker 1: not want to extend this moratorium because of pressure, pressure 303 00:15:47,360 --> 00:15:50,360 Speaker 1: from special interests. And again, like you said, these small 304 00:15:50,440 --> 00:15:53,080 Speaker 1: landlords like they're stuck between a rock and arts face too, 305 00:15:53,640 --> 00:15:56,880 Speaker 1: like everybody has been failed by this, first and foremost 306 00:15:57,000 --> 00:15:59,880 Speaker 1: the tenants who are screwed and are facing eviction and all. 307 00:16:00,160 --> 00:16:02,880 Speaker 1: There are a few things that are more traumatic and 308 00:16:03,040 --> 00:16:06,680 Speaker 1: upending and create a downward spiral in someone's life than 309 00:16:06,720 --> 00:16:09,640 Speaker 1: being in house, not having a place to you don't 310 00:16:09,680 --> 00:16:12,640 Speaker 1: have an address, the instability if you have kids, like 311 00:16:12,880 --> 00:16:15,520 Speaker 1: it's one of the hardest things to be able to 312 00:16:15,600 --> 00:16:19,000 Speaker 1: recover from. It can set people in a downward spiral. Remember, 313 00:16:19,000 --> 00:16:22,040 Speaker 1: we also covered people who were living in this like 314 00:16:22,200 --> 00:16:24,920 Speaker 1: you know, short term stay motel who were living there 315 00:16:25,040 --> 00:16:28,080 Speaker 1: essentially permanently. Many of them talked about how they had 316 00:16:28,080 --> 00:16:30,640 Speaker 1: had a home before the financial crash, and then once 317 00:16:30,680 --> 00:16:34,440 Speaker 1: they lost that home, downward spiral. Downward spiral. That's what 318 00:16:35,280 --> 00:16:39,800 Speaker 1: millions of Americans are facing right now. And because they 319 00:16:40,680 --> 00:16:43,280 Speaker 1: these people only cared about the theater, only cared about 320 00:16:43,320 --> 00:16:45,520 Speaker 1: having a talking point about how great and how generous 321 00:16:45,520 --> 00:16:48,000 Speaker 1: they were and how effective they were. They didn't really 322 00:16:48,000 --> 00:16:50,160 Speaker 1: care that the affiction moratory was coming to an end. 323 00:16:50,240 --> 00:16:52,520 Speaker 1: They didn't leverage any sort of serious political power to 324 00:16:52,560 --> 00:16:55,680 Speaker 1: try to get anything done here. And now you know, 325 00:16:55,920 --> 00:16:58,920 Speaker 1: this is where we are. It's very unlikely that they're 326 00:16:58,920 --> 00:17:01,440 Speaker 1: going to get their act together to do anything. Everybody's 327 00:17:01,480 --> 00:17:04,360 Speaker 1: home on break. You know. There's a few squad members 328 00:17:04,400 --> 00:17:06,639 Speaker 1: at the Capitol trying to raise awareness around this. Oh 329 00:17:06,640 --> 00:17:09,240 Speaker 1: in the latest I forgot the very latest development is 330 00:17:09,280 --> 00:17:12,720 Speaker 1: now Nancy Pelosi and House leadership. Democratic House Leadership put 331 00:17:12,720 --> 00:17:15,399 Speaker 1: on a statement saying, oh, actually, by an administration, this 332 00:17:15,520 --> 00:17:17,320 Speaker 1: is on you. We want you to have the CDC 333 00:17:18,280 --> 00:17:21,439 Speaker 1: extend the eviction moratorium. Which what would happen if they 334 00:17:21,440 --> 00:17:24,159 Speaker 1: did that? Okay, they'd do it. It would immediately go 335 00:17:24,200 --> 00:17:27,040 Speaker 1: to the courts. It's possible that you could have a 336 00:17:27,119 --> 00:17:30,040 Speaker 1: sort of temporary stay and allow it to allow the 337 00:17:30,080 --> 00:17:32,520 Speaker 1: moratorium to go forward while it's being settled in the courts, 338 00:17:32,520 --> 00:17:34,600 Speaker 1: but ultimately we know the Supreme Court is going to rule, 339 00:17:34,800 --> 00:17:38,119 Speaker 1: so that's only a temporary fix at best. At worst, 340 00:17:38,240 --> 00:17:40,520 Speaker 1: the courts immediately step in and say no, no, no, 341 00:17:40,560 --> 00:17:43,159 Speaker 1: you got to go through car I think it should 342 00:17:43,160 --> 00:17:46,240 Speaker 1: be through Congress. Does Why do we want these agencies 343 00:17:46,320 --> 00:17:50,800 Speaker 1: coming in deciding how millions of how landlord housing laws 344 00:17:50,880 --> 00:17:54,120 Speaker 1: being decided? This is their job and instead is there 345 00:17:54,200 --> 00:17:57,679 Speaker 1: they would rather be on vacation like let that really 346 00:17:57,720 --> 00:18:01,439 Speaker 1: sink in. They're all on vacation, they're all all doing fundraisers, 347 00:18:01,680 --> 00:18:04,320 Speaker 1: they're all out there. You know, some of them are 348 00:18:04,359 --> 00:18:07,879 Speaker 1: maybe pretending to do some constituent meetings. But right now, 349 00:18:08,160 --> 00:18:11,359 Speaker 1: in the mid off year election, this is prime money 350 00:18:11,359 --> 00:18:13,240 Speaker 1: in the bank time. This is when you go home, 351 00:18:13,480 --> 00:18:15,560 Speaker 1: you glad hand all the rich people in your district, 352 00:18:15,680 --> 00:18:18,040 Speaker 1: You get the twenty five hundred dollars checks, you rack 353 00:18:18,080 --> 00:18:20,320 Speaker 1: it all up so that next year, whenever you're running, 354 00:18:20,359 --> 00:18:22,199 Speaker 1: you don't have to do as much of it. This 355 00:18:22,320 --> 00:18:25,040 Speaker 1: is like prime congress thing, and so there'll never be 356 00:18:25,119 --> 00:18:28,680 Speaker 1: as fund for you are Then the stuff happens in August. 357 00:18:28,960 --> 00:18:31,600 Speaker 1: Everything's in August. They're all like flying all across the 358 00:18:31,600 --> 00:18:33,520 Speaker 1: country most of the time, not even in their own district, 359 00:18:33,640 --> 00:18:37,400 Speaker 1: necessarily raising this money. And while they're raising money, fifteen 360 00:18:37,440 --> 00:18:40,000 Speaker 1: million of the basically the most vulnerable people in the 361 00:18:40,040 --> 00:18:43,879 Speaker 1: country are getting completely screwed. And what listen, these are 362 00:18:43,920 --> 00:18:46,639 Speaker 1: the people least likely to be vaccinated. Also, you know, 363 00:18:46,680 --> 00:18:48,680 Speaker 1: if you take a look at the if you take 364 00:18:48,680 --> 00:18:51,159 Speaker 1: a look at the charts on who exactly is not 365 00:18:51,200 --> 00:18:54,560 Speaker 1: getting the vaccine. So it's a health risk boat to themselves. 366 00:18:54,560 --> 00:18:58,080 Speaker 1: But also to other people. These are also people. Look, 367 00:18:58,119 --> 00:19:01,720 Speaker 1: I mean, I've talked about this. Once you're disconnected from institutions, 368 00:19:01,800 --> 00:19:04,200 Speaker 1: it's over. I mean, in terms of trying to get 369 00:19:04,200 --> 00:19:08,560 Speaker 1: somebody back from the brink back into a house, it 370 00:19:08,720 --> 00:19:11,080 Speaker 1: almost never works out that way. Fact, I'm not saying 371 00:19:11,119 --> 00:19:13,760 Speaker 1: that into any sort of norm. It can happen on 372 00:19:13,800 --> 00:19:17,240 Speaker 1: the margins, but in the aggregate, once you're out, it's out. 373 00:19:17,440 --> 00:19:19,680 Speaker 1: You're out. And we found this out the hard way 374 00:19:19,680 --> 00:19:22,360 Speaker 1: in two thousand and eight. Once you start losing bank accounts, 375 00:19:22,359 --> 00:19:25,240 Speaker 1: connection to the financial system, connection to the work, it's done. 376 00:19:25,440 --> 00:19:27,320 Speaker 1: One of the things that you can best have done. 377 00:19:27,480 --> 00:19:29,080 Speaker 1: We've talked a lot about this. In the beginning. We 378 00:19:29,119 --> 00:19:31,960 Speaker 1: have a bottom up economy, which is that all they 379 00:19:32,040 --> 00:19:34,480 Speaker 1: had to do is put cash in people's hands, which 380 00:19:34,520 --> 00:19:37,320 Speaker 1: we almost tried to do apparently with the rental assistance. 381 00:19:37,400 --> 00:19:39,840 Speaker 1: Then the landlord gets paid. Then the landlord can pay 382 00:19:39,840 --> 00:19:42,040 Speaker 1: his mortgage, so the bank gets paid, and that way, 383 00:19:42,160 --> 00:19:43,960 Speaker 1: ten years later, we don't have to bail out the bank. 384 00:19:44,160 --> 00:19:47,080 Speaker 1: And now instead looks like what's going to happen. Now 385 00:19:47,119 --> 00:19:50,600 Speaker 1: the landlord's been screwed. These small landlords, they're totally hosed. 386 00:19:50,680 --> 00:19:52,200 Speaker 1: So what are they going to do. They're probably almost 387 00:19:52,240 --> 00:19:54,440 Speaker 1: going to bank or they're either bankrupt their mot default 388 00:19:54,440 --> 00:19:57,439 Speaker 1: on their mortgage, may have refinance all that stuff. So 389 00:19:57,600 --> 00:20:00,399 Speaker 1: those guys, you know enough of them, go broke something 390 00:20:00,440 --> 00:20:02,560 Speaker 1: like this, then the bank is like, hey, Congress, when 391 00:20:02,560 --> 00:20:05,360 Speaker 1: you bail us out? And now these people are homeless. 392 00:20:05,359 --> 00:20:07,600 Speaker 1: So just like, what a stupid situation. The other very 393 00:20:07,640 --> 00:20:10,560 Speaker 1: clear impact here too will be the small landlords can't 394 00:20:10,560 --> 00:20:13,320 Speaker 1: hold on, they lose their properties. Oh guess who's there 395 00:20:13,320 --> 00:20:15,440 Speaker 1: to sweep in. You got black Rocks, you got these 396 00:20:15,480 --> 00:20:19,560 Speaker 1: other financial giants who are dying to you know, buy 397 00:20:19,640 --> 00:20:22,639 Speaker 1: up all of the single family homes and other rental 398 00:20:22,640 --> 00:20:26,360 Speaker 1: properties so they can be America's landlords. This just accelerates 399 00:20:26,400 --> 00:20:29,400 Speaker 1: that process. No problem, kick out, kick the tenants out, 400 00:20:32,640 --> 00:20:37,879 Speaker 1: not property. And yes, one more great American monopoly begins 401 00:20:38,000 --> 00:20:42,280 Speaker 1: of these financial behemoths being everyone's landlords. It never needed 402 00:20:42,280 --> 00:20:44,080 Speaker 1: to be this way, and now it is. And there's 403 00:20:44,080 --> 00:20:45,959 Speaker 1: a lot of people's fault for that, and yes there 404 00:20:45,960 --> 00:20:48,560 Speaker 1: are many Republicans at fault. There's also you know, the 405 00:20:48,680 --> 00:20:50,840 Speaker 1: White House is in charge here. There's all three branches 406 00:20:50,880 --> 00:20:53,399 Speaker 1: of government, and not a lot of have fained impotence. 407 00:20:53,720 --> 00:20:59,480 Speaker 1: They're feigned impotence just enrages me so much. You control everything, 408 00:21:00,119 --> 00:21:03,160 Speaker 1: still pretending like you can do nothing. The one last 409 00:21:03,160 --> 00:21:05,080 Speaker 1: thing I'll say on this is this also pairs with 410 00:21:05,119 --> 00:21:09,600 Speaker 1: the fact that, you know, housing prices have skyrocketed and rental. 411 00:21:09,760 --> 00:21:12,280 Speaker 1: For a while, rents were staying pretty staggered. Even some 412 00:21:12,359 --> 00:21:15,760 Speaker 1: cities that were hard hit by COVID, rents had decreased. Well, 413 00:21:15,920 --> 00:21:19,479 Speaker 1: those days are over. Rent is now skyrocketing as well. 414 00:21:20,000 --> 00:21:22,600 Speaker 1: So if you are behind on your rent, you get 415 00:21:22,600 --> 00:21:24,960 Speaker 1: evicted from your place, you're not to be able to 416 00:21:25,000 --> 00:21:27,879 Speaker 1: find another place to tough. It's gonna be really tough 417 00:21:27,920 --> 00:21:31,120 Speaker 1: because those prices keep going up and up and up. 418 00:21:31,200 --> 00:21:34,679 Speaker 1: So it is truly a dire situation, one that was 419 00:21:35,600 --> 00:21:40,159 Speaker 1: entirely preventable, and one of the most shameful things I 420 00:21:40,200 --> 00:21:42,760 Speaker 1: have ever seen out of Washington. And that is a 421 00:21:42,760 --> 00:21:45,119 Speaker 1: pretty damn high bar. Yeah, I think that's right. All right, 422 00:21:45,200 --> 00:21:47,840 Speaker 1: let's move on to how the media is covering themselves 423 00:21:47,840 --> 00:21:50,960 Speaker 1: in glory. Really, it's a scary time. Let's be honest, right, 424 00:21:51,119 --> 00:21:54,120 Speaker 1: the delta variant. Nobody really knows what to believe. Many 425 00:21:54,160 --> 00:21:57,800 Speaker 1: people got vaccinated. People are like, wait, is it not working. 426 00:21:57,960 --> 00:22:01,159 Speaker 1: You're seeing all these headlines. It's the media's job is 427 00:22:01,200 --> 00:22:03,240 Speaker 1: to tell you what's going on, and some people, for 428 00:22:03,440 --> 00:22:06,600 Speaker 1: reasons I won't understand, still really trust the media and 429 00:22:06,640 --> 00:22:08,480 Speaker 1: they look at them and the media is telling them 430 00:22:08,600 --> 00:22:11,119 Speaker 1: you should be really afraid. Now, the CDC is bringing 431 00:22:11,160 --> 00:22:13,239 Speaker 1: back its mask mandate, and I think there's a lot 432 00:22:13,280 --> 00:22:15,760 Speaker 1: of problems with that, but still, you know, it's the CDC. 433 00:22:15,880 --> 00:22:17,560 Speaker 1: It's like when you see it in a movie, You're like, 434 00:22:17,600 --> 00:22:20,800 Speaker 1: I'm supposed to trust it. And we are seeing a 435 00:22:20,920 --> 00:22:26,679 Speaker 1: total and complete, complete breakdown of reliable and good information 436 00:22:27,040 --> 00:22:29,800 Speaker 1: coming from the CDC, coming from the media, so much 437 00:22:29,840 --> 00:22:32,560 Speaker 1: so that we have a total and complete cluster. Let's 438 00:22:32,560 --> 00:22:34,520 Speaker 1: throw this up by Mediaite, because I thought they actually 439 00:22:34,560 --> 00:22:36,919 Speaker 1: did a pretty good job here. NBC News, the New 440 00:22:37,000 --> 00:22:41,000 Speaker 1: York Times, and the Washington Posts all independently called out 441 00:22:41,000 --> 00:22:44,400 Speaker 1: on the same dame on the same day for horribly 442 00:22:44,520 --> 00:22:48,320 Speaker 1: irresponsible framing of COVID cases in fully vaccinated people. And 443 00:22:48,400 --> 00:22:52,080 Speaker 1: let's give you an example. Ken Delanian, who is a 444 00:22:52,080 --> 00:22:56,800 Speaker 1: world star idiot over at NBC CIA Scribe, decided to 445 00:22:56,800 --> 00:23:00,000 Speaker 1: start writing about COVID. So here's what he says. Exclude 446 00:23:00,040 --> 00:23:03,480 Speaker 1: juive at least one hundred and twenty five thousand fully 447 00:23:03,560 --> 00:23:08,040 Speaker 1: vaccinated Americans tested positive for COVID. Oh my god, that's scary. 448 00:23:08,240 --> 00:23:11,119 Speaker 1: One hundred and twenty five thousand out of how many 449 00:23:11,359 --> 00:23:14,520 Speaker 1: one hundred and forty five million, one hundred and fifty 450 00:23:14,640 --> 00:23:17,719 Speaker 1: million Americans. It's one of these things where when you 451 00:23:17,720 --> 00:23:21,919 Speaker 1: think about it statistically, you're like, wait, that's actually nothing. Also, 452 00:23:22,200 --> 00:23:26,120 Speaker 1: how many of those people got hospitalized and died? Oh, 453 00:23:26,200 --> 00:23:28,720 Speaker 1: so you have a ninety nine point nine nine nine 454 00:23:28,800 --> 00:23:32,160 Speaker 1: percent chance of survival from any sort of breakthrough case 455 00:23:32,359 --> 00:23:34,600 Speaker 1: if you're fully vaccinated, and you have a ninety nine 456 00:23:34,600 --> 00:23:38,160 Speaker 1: point nine nine six percent chance of not being hospitalized. Oh, 457 00:23:38,400 --> 00:23:41,240 Speaker 1: it sounds pretty good odds to me. These people are 458 00:23:41,280 --> 00:23:44,920 Speaker 1: basically trying to scare someone for no reason. The same 459 00:23:44,960 --> 00:23:47,960 Speaker 1: thing happened at the Washington Post, which is their headline, 460 00:23:48,040 --> 00:23:50,879 Speaker 1: was essentially the same thing they said. Quote. CDC shows 461 00:23:50,920 --> 00:23:54,399 Speaker 1: three fourths of if people infected in Massachusetts COVID nineteen 462 00:23:54,400 --> 00:23:59,320 Speaker 1: outbreak were vaccinated. Now, once again they point to vaccination 463 00:23:59,480 --> 00:24:04,720 Speaker 1: rates and in the cases without talking about hospitalization and death. 464 00:24:05,000 --> 00:24:07,960 Speaker 1: All those people in that Massachusetts story, none of them died. 465 00:24:08,600 --> 00:24:13,160 Speaker 1: Four of them were hospitalized out of hundreds. And by 466 00:24:13,200 --> 00:24:19,199 Speaker 1: the way, this was an area with very high vaccination rates. 467 00:24:19,440 --> 00:24:22,800 Speaker 1: So guess what if there's very high vaccination rates, then 468 00:24:22,840 --> 00:24:25,679 Speaker 1: you're going to have a high percentage vaccinated people who 469 00:24:25,760 --> 00:24:28,760 Speaker 1: are the ones getting it. That doesn't mean the vaccine 470 00:24:28,760 --> 00:24:33,680 Speaker 1: doesn't work. And it's all intentionally scare mongering. It's pure 471 00:24:33,720 --> 00:24:37,639 Speaker 1: fear mongering for profit. Fear mongering for profit, and it 472 00:24:37,760 --> 00:24:40,320 Speaker 1: is the best gift that they could ever give to 473 00:24:40,520 --> 00:24:43,560 Speaker 1: anti vaxers. That's the worst part. And this I want 474 00:24:43,600 --> 00:24:46,000 Speaker 1: to show you how bad things are. The White House 475 00:24:46,280 --> 00:24:48,560 Speaker 1: is calling out the New York Times, So put this 476 00:24:48,640 --> 00:24:50,760 Speaker 1: up there and keep it up for a little while. 477 00:24:51,040 --> 00:24:54,639 Speaker 1: Ben Wakana, this guy has the strategic communications director for 478 00:24:54,680 --> 00:24:57,680 Speaker 1: the White House COVID nineteen task force. Quote tweets The 479 00:24:57,680 --> 00:24:59,520 Speaker 1: New York Times. For those who are listening, The New 480 00:24:59,600 --> 00:25:02,159 Speaker 1: York Times says the delta variant is as contagious as 481 00:25:02,280 --> 00:25:05,160 Speaker 1: chicken pox, may be spread by vaccinated people as easily 482 00:25:05,160 --> 00:25:08,639 Speaker 1: as he unvaccinated. And Ben Wright really points out in 483 00:25:08,640 --> 00:25:12,199 Speaker 1: all caps, vaccinated people do not transmit the virus at 484 00:25:12,240 --> 00:25:15,159 Speaker 1: the same rate as unvaccinated people. If you fail to 485 00:25:15,240 --> 00:25:19,439 Speaker 1: include that context, you are doing it wrong. So things 486 00:25:19,640 --> 00:25:22,440 Speaker 1: are so bad that the New York Times is being 487 00:25:22,880 --> 00:25:26,440 Speaker 1: is exaggerating so much that the White House itself is saying, 488 00:25:26,560 --> 00:25:30,200 Speaker 1: all right, everybody, hold on a second, Okay, look that 489 00:25:30,200 --> 00:25:33,119 Speaker 1: that is the level of insanity that we've reached. And 490 00:25:33,200 --> 00:25:36,480 Speaker 1: so I alluded to these figures, but let me underscore them. 491 00:25:36,720 --> 00:25:40,800 Speaker 1: Please throw up Andrew Kazinski's tweet. Less than point one 492 00:25:40,880 --> 00:25:45,120 Speaker 1: percent of vaccinated Americans have been infected with COVID, nineteen 493 00:25:45,600 --> 00:25:52,040 Speaker 1: point four percent have been hospitalized, point one percent have died. 494 00:25:52,400 --> 00:25:55,119 Speaker 1: So let that sink in. Nine to nine point six 495 00:25:55,200 --> 00:25:57,280 Speaker 1: percent chance nine nine point nine nine six percent chance 496 00:25:57,320 --> 00:26:01,280 Speaker 1: not be hospitalated, ninety nine point nine percent chance of 497 00:26:01,320 --> 00:26:04,000 Speaker 1: not dying. The people who are dying who've been vaccinated, 498 00:26:04,280 --> 00:26:07,560 Speaker 1: mostly people severely immunal compromise, had a lot of the 499 00:26:07,600 --> 00:26:10,880 Speaker 1: problems going on. So and most of them are elderly too, 500 00:26:11,040 --> 00:26:14,800 Speaker 1: so already on the brink comorbidities. Everybody knows that side 501 00:26:14,840 --> 00:26:17,560 Speaker 1: of the story. This is this is what bothers me 502 00:26:17,640 --> 00:26:21,800 Speaker 1: the most. The media is essentially saying and building up, 503 00:26:21,920 --> 00:26:24,800 Speaker 1: trying to build the case for the mask mandate, and 504 00:26:24,880 --> 00:26:29,040 Speaker 1: all this by undermining the case for the vaccine itself. 505 00:26:29,320 --> 00:26:32,199 Speaker 1: If you're unvaccinated, and I have a whole monologue on 506 00:26:32,200 --> 00:26:34,440 Speaker 1: this about who are these people who are not vaccinated? 507 00:26:34,680 --> 00:26:36,119 Speaker 1: I went and I dug into the data from the 508 00:26:36,200 --> 00:26:39,560 Speaker 1: Kaiser Family Foundation. The number one reason for not getting 509 00:26:39,600 --> 00:26:43,400 Speaker 1: the vaccine is it's too new and I'm gonna wait 510 00:26:43,440 --> 00:26:45,680 Speaker 1: and see. Now, if you're in the wait and see 511 00:26:45,720 --> 00:26:51,119 Speaker 1: crowd and you're not hearing this responsible reporting around dying 512 00:26:51,160 --> 00:26:54,680 Speaker 1: and infections, and you're seeing, oh, I can still get 513 00:26:54,760 --> 00:26:58,159 Speaker 1: infected with COVID, and the media is not telling me 514 00:26:58,200 --> 00:27:02,040 Speaker 1: that infection is not the same thing is hospitalization and death. Well, 515 00:27:02,040 --> 00:27:04,280 Speaker 1: why the hell am I gonna get this vaccine. I'll 516 00:27:04,320 --> 00:27:06,560 Speaker 1: just get COVID and have the antibodies or whatever. And 517 00:27:06,560 --> 00:27:11,040 Speaker 1: it's like, guys, it's I mean, they're blowing a massive 518 00:27:11,080 --> 00:27:14,560 Speaker 1: hole in this, so much so that even again even 519 00:27:14,600 --> 00:27:17,120 Speaker 1: the White House, who I think has gone way too 520 00:27:17,200 --> 00:27:19,879 Speaker 1: far and embracing some of this public health guidance, even 521 00:27:19,960 --> 00:27:22,520 Speaker 1: they are saying this is a total disaster. How the 522 00:27:22,520 --> 00:27:25,720 Speaker 1: MEATI has handled themselves this weekend, Yeah, because their interest 523 00:27:25,960 --> 00:27:29,159 Speaker 1: is in people feeling pretty good about the state of 524 00:27:29,160 --> 00:27:31,560 Speaker 1: the country and that we're on the upswing. And that 525 00:27:31,880 --> 00:27:34,720 Speaker 1: is the truth of the matter, and you're right to say, look, 526 00:27:34,960 --> 00:27:37,120 Speaker 1: this is a scary moment. People trying to figure out 527 00:27:37,160 --> 00:27:39,840 Speaker 1: what's going on, what the risk is to themselves, going 528 00:27:39,880 --> 00:27:42,480 Speaker 1: through this whole process again of reassessing, like Okay, where 529 00:27:42,520 --> 00:27:44,280 Speaker 1: am I gonna want? My kids are gonna go and play? 530 00:27:44,320 --> 00:27:46,760 Speaker 1: What's gonna happen with school open, all this stuff, Like, 531 00:27:47,280 --> 00:27:50,000 Speaker 1: I get that that is very fraught and very tense, 532 00:27:50,440 --> 00:27:53,639 Speaker 1: and this crap makes it all so much worse to me. 533 00:27:53,720 --> 00:27:58,080 Speaker 1: The most irresponsible one was the framing of this Massachusetts 534 00:27:58,080 --> 00:28:01,560 Speaker 1: study and just putting out there without any of the 535 00:28:01,560 --> 00:28:05,080 Speaker 1: surrounding contexts, that more vaccinated people were getting COVID than 536 00:28:05,080 --> 00:28:07,480 Speaker 1: I'm vaccinated. If you're just looking at that as just 537 00:28:07,520 --> 00:28:09,879 Speaker 1: a headline, you're thinking, wait a second, So if I 538 00:28:09,920 --> 00:28:13,000 Speaker 1: get vaccinated, I'm more likely to get CARDIVRS. That is 539 00:28:13,080 --> 00:28:16,720 Speaker 1: the polar opposite of reality. And we know that that 540 00:28:16,920 --> 00:28:20,679 Speaker 1: is the case. I mean, we've had how many hundreds 541 00:28:20,720 --> 00:28:24,240 Speaker 1: of millions, possibly billions of people worldwide we've gotten this vaccine. 542 00:28:24,280 --> 00:28:28,400 Speaker 1: Now we know the data around what happens, you are 543 00:28:28,520 --> 00:28:31,160 Speaker 1: dramatically less likely to get COVID. If you do get 544 00:28:31,200 --> 00:28:34,480 Speaker 1: COVID in these rare instances, of breakthrough cases, you are 545 00:28:34,560 --> 00:28:37,439 Speaker 1: even more dramatically less likely to be hospitalized, and the 546 00:28:37,520 --> 00:28:40,760 Speaker 1: chance of death is as close to zero as it 547 00:28:40,800 --> 00:28:45,800 Speaker 1: could possibly get. That's the story. The story is the 548 00:28:45,920 --> 00:28:50,160 Speaker 1: vaccine's work, and all of these people scare mongering for 549 00:28:50,320 --> 00:28:54,560 Speaker 1: profit and clicks should be completely ashamed of themselves. And 550 00:28:54,600 --> 00:28:57,800 Speaker 1: by the way, hey, Twitter, where's their you know, misinformation 551 00:28:58,240 --> 00:29:02,040 Speaker 1: it's label? Where's their in? Where's them being entered into 552 00:29:02,080 --> 00:29:05,440 Speaker 1: the you know, dystopian social media database where they all 553 00:29:05,480 --> 00:29:08,640 Speaker 1: coordinate to give you the Internet death penalty? Where's all 554 00:29:08,680 --> 00:29:10,840 Speaker 1: of that you know they jumped to when there was 555 00:29:10,920 --> 00:29:13,800 Speaker 1: like some bad hunter Biden story before the election. But 556 00:29:14,240 --> 00:29:19,120 Speaker 1: this stuff, coming from sources that are considered trusted, is 557 00:29:19,760 --> 00:29:23,240 Speaker 1: completely disgraceful. And it also really does show you the 558 00:29:23,280 --> 00:29:26,960 Speaker 1: double standard because if some you know, right wing nut 559 00:29:27,000 --> 00:29:29,800 Speaker 1: job on YouTube had put this out, they probably would 560 00:29:29,800 --> 00:29:32,160 Speaker 1: have got said they were a video, would have been demonetized, 561 00:29:32,200 --> 00:29:35,600 Speaker 1: taken down, possibly kicked off Twitter, all that stuff. But 562 00:29:35,760 --> 00:29:40,920 Speaker 1: because it's the Washington Post, New York Times, NBC News, 563 00:29:41,120 --> 00:29:43,960 Speaker 1: they're just like, well, it's not great. But think about 564 00:29:43,960 --> 00:29:46,200 Speaker 1: that Washington Post headline. Think about the Washington Post headline. 565 00:29:46,320 --> 00:29:49,080 Speaker 1: Imagine some anti vax guy on YouTube. It's like, you're 566 00:29:49,160 --> 00:29:52,160 Speaker 1: more like you get it, if you get the vaccine, 567 00:29:52,440 --> 00:29:55,520 Speaker 1: then not YouTube would look at that and be like, hey, 568 00:29:55,560 --> 00:29:57,920 Speaker 1: this person is but it's the same thing. It's the 569 00:29:57,960 --> 00:30:01,840 Speaker 1: exact same thing. It just so happens. These people are establishment. Also, 570 00:30:02,000 --> 00:30:04,240 Speaker 1: I just want to say, by the White House's own standard, 571 00:30:04,360 --> 00:30:06,440 Speaker 1: these people should be removed from all of social media. 572 00:30:06,520 --> 00:30:09,440 Speaker 1: Right They've been spreading COVID nineteen misinformation. They shouldn't be 573 00:30:09,480 --> 00:30:12,320 Speaker 1: on Twitter, you know, by all rides. By Twitter's own standards, 574 00:30:12,360 --> 00:30:14,240 Speaker 1: Twitter should have taken that down or at the very 575 00:30:14,320 --> 00:30:17,200 Speaker 1: least labeled at misinformation. But they're not going to do it. 576 00:30:17,240 --> 00:30:19,640 Speaker 1: And I would be remiss if I didn't say this 577 00:30:19,840 --> 00:30:24,520 Speaker 1: was happening at a time of terrible ratings for the media. Frankly, 578 00:30:24,640 --> 00:30:27,520 Speaker 1: Delta is the best goddamn thing that ever happened to them. 579 00:30:27,760 --> 00:30:31,080 Speaker 1: They miss Trump so much they have been trying to 580 00:30:31,120 --> 00:30:34,320 Speaker 1: make him happen. It just refuses to stop start, you know, 581 00:30:34,360 --> 00:30:37,800 Speaker 1: they try on CNN all of this. Delta is the 582 00:30:37,840 --> 00:30:40,240 Speaker 1: best thing that could have happened, because now they need 583 00:30:40,280 --> 00:30:42,440 Speaker 1: to gin you up so you have a reason to 584 00:30:42,560 --> 00:30:45,840 Speaker 1: watch again. Try and think back to the early days 585 00:30:45,840 --> 00:30:48,000 Speaker 1: of the pandemic. I, like many of you, I don't 586 00:30:48,000 --> 00:30:50,040 Speaker 1: even have cable and I had to go out there 587 00:30:50,160 --> 00:30:52,120 Speaker 1: try and find it on YouTube. I was trying to 588 00:30:52,600 --> 00:30:55,960 Speaker 1: live stream the press conferences. You know. It was a 589 00:30:56,000 --> 00:30:58,920 Speaker 1: scary time. We didn't know anything. I you know, I 590 00:30:58,960 --> 00:31:01,240 Speaker 1: remember a time when I was like, Hey, this doctor 591 00:31:01,280 --> 00:31:03,720 Speaker 1: Fauci guy, you know, let's hear what he has to say. Yeah, 592 00:31:03,800 --> 00:31:06,880 Speaker 1: and it was important. It was like Deborah Burkes, they 593 00:31:06,880 --> 00:31:10,200 Speaker 1: have this guidance fifteen days to stop the spread. I'm 594 00:31:10,280 --> 00:31:14,200 Speaker 1: sitting there glued to my TV. That's big business for people. 595 00:31:14,400 --> 00:31:18,840 Speaker 1: They made multi hundreds of millions of dollars whenever you 596 00:31:18,840 --> 00:31:21,400 Speaker 1: were afraid and you were sitting there in your house 597 00:31:21,560 --> 00:31:23,960 Speaker 1: and you're just sitting in there clicking. And now that 598 00:31:23,960 --> 00:31:26,560 Speaker 1: they've got people conditioned to that, but they're losing people 599 00:31:26,600 --> 00:31:29,280 Speaker 1: on the margins. They needed to come back. That's what 600 00:31:29,440 --> 00:31:32,160 Speaker 1: leads to these irresponsible stories. Because I bet you that 601 00:31:32,280 --> 00:31:35,080 Speaker 1: Kendelanian story got a lot of traffic. There are a 602 00:31:35,120 --> 00:31:37,200 Speaker 1: lot of wine moms out there who are like, oh 603 00:31:37,240 --> 00:31:39,680 Speaker 1: my god, you know one hundred and twenty five thousand people, 604 00:31:39,840 --> 00:31:42,400 Speaker 1: that's so many they don't know anything about the statistics. 605 00:31:42,440 --> 00:31:44,840 Speaker 1: I've seen a lot of discussion around children. I mean, 606 00:31:45,080 --> 00:31:48,640 Speaker 1: if I don't once again read a story about how, 607 00:31:48,800 --> 00:31:51,960 Speaker 1: oh this like obscure case in which a child who 608 00:31:52,000 --> 00:31:54,880 Speaker 1: had all of these horrific health problems, I'm not diminishing 609 00:31:54,880 --> 00:31:58,640 Speaker 1: this die from COVID. Yeah, I'm so sorry for those people. 610 00:31:58,800 --> 00:32:01,040 Speaker 1: And if you know somebody about there, I don't even 611 00:32:01,120 --> 00:32:04,200 Speaker 1: I can't even imagine that being said. If you go, 612 00:32:04,240 --> 00:32:07,040 Speaker 1: when you look at the statistics, your child is not 613 00:32:07,200 --> 00:32:11,160 Speaker 1: at risk from DELTA or from COVID of serious illness 614 00:32:11,440 --> 00:32:15,160 Speaker 1: or death any more so than any other like random 615 00:32:15,240 --> 00:32:18,320 Speaker 1: childhood illness. The media reporting on this, I saw the 616 00:32:18,360 --> 00:32:22,120 Speaker 1: New York Times or a CBS news say COVID's more 617 00:32:22,120 --> 00:32:24,720 Speaker 1: infectious than an ebola, and I was like, oh, yeah, 618 00:32:24,840 --> 00:32:28,080 Speaker 1: I mean if bola spreads through blood and uh you know, 619 00:32:28,320 --> 00:32:33,360 Speaker 1: like yeah, like blood and literal bodily fluids, Yes, COVID 620 00:32:33,400 --> 00:32:36,040 Speaker 1: spreads through the air. It is more infectious than COVID. 621 00:32:36,320 --> 00:32:38,560 Speaker 1: I mean infection your bola. You're right, why would you 622 00:32:38,600 --> 00:32:40,840 Speaker 1: put that in there? That doesn't mean anything. It's also 623 00:32:41,000 --> 00:32:45,040 Speaker 1: dramatically less lethal, I mean, and that was always the thing, right, 624 00:32:45,240 --> 00:32:48,560 Speaker 1: that was the thing that was Initially scary about COVID 625 00:32:48,640 --> 00:32:51,840 Speaker 1: is like if you have a bola, there's no mystery 626 00:32:51,880 --> 00:32:53,840 Speaker 1: that you have a bulla. You have a bola, You're 627 00:32:53,880 --> 00:32:56,560 Speaker 1: gonna die, tire insides are coming out of you, and 628 00:32:56,560 --> 00:32:58,800 Speaker 1: there's no like, oh, let me go to the store, 629 00:32:58,880 --> 00:33:00,840 Speaker 1: you know. I mean that's what from the beginning was 630 00:33:00,880 --> 00:33:03,560 Speaker 1: worrisome about COVID. But you got to put that in 631 00:33:03,640 --> 00:33:06,320 Speaker 1: perspective of like, Okay, well what's the death rate and oh, 632 00:33:06,320 --> 00:33:08,680 Speaker 1: by the way, if you get vaccinated, you're gonna be fine, 633 00:33:08,720 --> 00:33:11,320 Speaker 1: So why don't you go on freaking get vaccinated? There 634 00:33:11,360 --> 00:33:13,840 Speaker 1: you go. Yeah, it's I mean, the reporting on this 635 00:33:14,000 --> 00:33:17,640 Speaker 1: has just been so maddening because you're watching it shape 636 00:33:17,640 --> 00:33:19,720 Speaker 1: public policy, and we're about to get to that in 637 00:33:19,800 --> 00:33:24,560 Speaker 1: terms of how exactly it is forcing people's hands. Some 638 00:33:24,640 --> 00:33:27,480 Speaker 1: of these mayors and more I do believe they are 639 00:33:27,520 --> 00:33:29,920 Speaker 1: acting in self interest and we're about to talk about that. Yeah, 640 00:33:29,960 --> 00:33:32,360 Speaker 1: But at the same time, Crystal, I live in you know, 641 00:33:32,480 --> 00:33:34,840 Speaker 1: I've talked about this in the heart of like wine 642 00:33:34,840 --> 00:33:39,000 Speaker 1: Mom America amongst all these upper middle class, rich white people, 643 00:33:39,400 --> 00:33:42,520 Speaker 1: and they're all masking again, all of them are wearing 644 00:33:42,560 --> 00:33:44,680 Speaker 1: the mask. And you know, I went to a movie 645 00:33:44,680 --> 00:33:48,400 Speaker 1: this weekend and a guy complained to the manager that 646 00:33:48,520 --> 00:33:51,840 Speaker 1: people were being sat side by side and these are 647 00:33:51,840 --> 00:33:54,440 Speaker 1: in one of those new movie theaters where there's like 648 00:33:54,520 --> 00:33:57,440 Speaker 1: a lot of space between you and I already complained 649 00:33:57,440 --> 00:33:59,760 Speaker 1: to the manager. I heard him say, well, what about 650 00:33:59,800 --> 00:34:02,840 Speaker 1: the people who take off their masks when they're eating popcorn? 651 00:34:02,920 --> 00:34:05,040 Speaker 1: He's like, why are you guys still? I swear, I 652 00:34:05,120 --> 00:34:07,640 Speaker 1: swear to god this all happened yesterday. I fear that. 653 00:34:07,760 --> 00:34:09,960 Speaker 1: It was like, don't go to a movie, you just 654 00:34:10,000 --> 00:34:12,320 Speaker 1: stay home. But I just two years all a favorite. 655 00:34:12,360 --> 00:34:14,600 Speaker 1: You don't need this stress. If you're that paic, just 656 00:34:14,640 --> 00:34:16,880 Speaker 1: stay home. But yeah, I mean, it's this kind of 657 00:34:16,960 --> 00:34:20,920 Speaker 1: like I don't know, it's this self sustaining system where 658 00:34:21,920 --> 00:34:26,880 Speaker 1: the media needs the traffic, and so they they produce 659 00:34:26,960 --> 00:34:30,279 Speaker 1: these fear mongering headlines. At least sometimes the stories are 660 00:34:30,280 --> 00:34:32,279 Speaker 1: just as bad. Sometimes the stories have a context, but 661 00:34:32,320 --> 00:34:35,720 Speaker 1: oftentimes people don't really really pass the scare mongering headline. 662 00:34:35,760 --> 00:34:37,799 Speaker 1: So you put that out there, you create all this 663 00:34:37,880 --> 00:34:41,480 Speaker 1: fear and a group of people who have embraced like 664 00:34:41,560 --> 00:34:45,040 Speaker 1: their pandemic responsibility as part of their identity and who 665 00:34:45,160 --> 00:34:47,879 Speaker 1: just are freaked down and like want themselves and their 666 00:34:47,920 --> 00:34:51,560 Speaker 1: family to be safe. It creates this public pressure for 667 00:34:51,640 --> 00:34:55,480 Speaker 1: the politicians to do something to keep us safe, and 668 00:34:55,520 --> 00:34:58,759 Speaker 1: then you end up with bad public policy that the 669 00:34:58,800 --> 00:35:04,600 Speaker 1: politicians themselves, as we're about to explain, no, that is 670 00:35:04,680 --> 00:35:08,120 Speaker 1: not really necessary, is not really called for, is not 671 00:35:08,360 --> 00:35:11,640 Speaker 1: really appropriate in their own lives, they're not really following 672 00:35:11,680 --> 00:35:13,400 Speaker 1: what they're telling the public that they got to do. 673 00:35:14,000 --> 00:35:17,400 Speaker 1: And so it's this horrific spiral. And you always have 674 00:35:17,480 --> 00:35:19,640 Speaker 1: to keep in mind that the media's interest in all 675 00:35:19,680 --> 00:35:22,040 Speaker 1: of this is to keep you as freaked down as possible. 676 00:35:22,239 --> 00:35:24,520 Speaker 1: That doesn't mean that there's nothing to fear here. That 677 00:35:24,560 --> 00:35:27,160 Speaker 1: doesn't mean that we shouldn't be taking delta seriously, seeing 678 00:35:27,200 --> 00:35:29,440 Speaker 1: what the data is, seeing where it leads. But we 679 00:35:29,480 --> 00:35:32,440 Speaker 1: also know what the answer is. The answer is get vaccinated. 680 00:35:32,640 --> 00:35:35,279 Speaker 1: The answer is, let's figure out how we can get 681 00:35:35,280 --> 00:35:39,040 Speaker 1: more people, encourage them, give them confidence to go out 682 00:35:39,080 --> 00:35:43,080 Speaker 1: and get vaccinated. And stories like these do the exact 683 00:35:43,280 --> 00:35:48,040 Speaker 1: opposite of that end solution. Yea. Hey, so remember how 684 00:35:48,040 --> 00:35:51,200 Speaker 1: we told you how awesome premium membership was. Well, here 685 00:35:51,200 --> 00:35:53,640 Speaker 1: we are again to remind you that becoming a premium 686 00:35:53,640 --> 00:35:56,360 Speaker 1: member means you don't have to listen to our constant 687 00:35:56,400 --> 00:35:59,239 Speaker 1: please for you to subscribe. So what are you waiting for? 688 00:35:59,360 --> 00:36:01,359 Speaker 1: Become a pre I a member today by going to 689 00:36:01,440 --> 00:36:03,759 Speaker 1: Breakingpoints dot com, which you can click on in the 690 00:36:03,800 --> 00:36:08,960 Speaker 1: show notes. So let's talk about the DC five times. 691 00:36:09,000 --> 00:36:13,440 Speaker 1: My wonderful mayor, who we love so much, reinstated our 692 00:36:13,520 --> 00:36:16,720 Speaker 1: mask mandate here in the city of Washington after pressure 693 00:36:16,840 --> 00:36:19,839 Speaker 1: from the CDC, despite the fact that we have had 694 00:36:19,960 --> 00:36:23,240 Speaker 1: two coronavirus deaths in the last two weeks. Yes, that's correct, 695 00:36:23,320 --> 00:36:25,560 Speaker 1: and we actually have a very high vaccination rate, so 696 00:36:25,920 --> 00:36:28,439 Speaker 1: she bows to pressure. I was just reading this thing 697 00:36:28,520 --> 00:36:31,719 Speaker 1: by Nasim Teleb about the tyranny of a vocal minority, 698 00:36:31,760 --> 00:36:33,960 Speaker 1: which is that even though the majority of people may 699 00:36:33,960 --> 00:36:37,680 Speaker 1: not want something, that if a minority is intransigent enough, 700 00:36:38,040 --> 00:36:41,000 Speaker 1: that policy will actually be dictated to them just so 701 00:36:41,040 --> 00:36:43,080 Speaker 1: they don't scream anymore. Yeah, that's kind of how I 702 00:36:43,080 --> 00:36:47,319 Speaker 1: would classify this situation. So this DC mayor says, yeah, 703 00:36:47,360 --> 00:36:50,960 Speaker 1: it's actually super important, basically describes as all elite rule 704 00:36:51,000 --> 00:36:53,839 Speaker 1: in America. But if you were to think about this 705 00:36:53,960 --> 00:36:56,120 Speaker 1: DC mayor, she says, she's doing this for the health 706 00:36:56,320 --> 00:36:59,720 Speaker 1: of the population, you would think that, like many public officials, 707 00:36:59,719 --> 00:37:03,399 Speaker 1: she would then follow the guidance herself. Well, Tiana Lowe, 708 00:37:03,560 --> 00:37:06,600 Speaker 1: she's a reporter over at the Washington Examiner. Let's put 709 00:37:06,600 --> 00:37:10,600 Speaker 1: this up there on the screen. She officiated a maskless 710 00:37:11,000 --> 00:37:15,400 Speaker 1: indoor wedding after the reinstated mask mandate. Now, some of 711 00:37:15,440 --> 00:37:19,239 Speaker 1: you might have been confused, because right before the mask 712 00:37:19,280 --> 00:37:23,120 Speaker 1: mandate went to effect Friday evening, she actually held a 713 00:37:23,160 --> 00:37:27,799 Speaker 1: fancy birthday party indoors where some celebrities were present, and 714 00:37:27,800 --> 00:37:29,680 Speaker 1: people were saying, oh, well, she's not even doing it 715 00:37:29,680 --> 00:37:32,720 Speaker 1: before her mask mandate. It turns out that even after 716 00:37:33,000 --> 00:37:37,280 Speaker 1: the mass mandate she violated fewer than twenty four hours. 717 00:37:37,320 --> 00:37:40,680 Speaker 1: After that, she went ahead and officiated a wedding at 718 00:37:40,719 --> 00:37:43,680 Speaker 1: the Line DC, which is a hotel here in Washington, 719 00:37:43,719 --> 00:37:47,680 Speaker 1: great hotel, by the way, and a wedding reception which 720 00:37:47,719 --> 00:37:53,240 Speaker 1: featured hundreds of unmasked guests served by dozens of weight staff. 721 00:37:53,600 --> 00:37:57,000 Speaker 1: Now there's actually a photo of her at that reception, 722 00:37:57,520 --> 00:38:01,480 Speaker 1: not wearing the mask indoors. Only one person at her table, 723 00:38:01,520 --> 00:38:03,600 Speaker 1: as far as I can tell, is wearing a mask. 724 00:38:03,880 --> 00:38:07,480 Speaker 1: This is a person who just recently had the authority 725 00:38:07,600 --> 00:38:11,000 Speaker 1: to impose this mass mandate. Why is it exactly that 726 00:38:11,160 --> 00:38:14,880 Speaker 1: Mayor Bowser is violating the guidance that she thinks is 727 00:38:14,880 --> 00:38:17,760 Speaker 1: important for the rest of us here in this city, 728 00:38:18,000 --> 00:38:20,640 Speaker 1: and then she had the goal to lie about it. 729 00:38:20,800 --> 00:38:23,319 Speaker 1: Let's put this up there, which is that we have 730 00:38:23,640 --> 00:38:25,239 Speaker 1: actually no First, first, I'll show you the photo of 731 00:38:25,320 --> 00:38:26,879 Speaker 1: her at our birthday party. Let's go ahead and put 732 00:38:26,880 --> 00:38:29,399 Speaker 1: that up there. We have with Dave Chappelle. Shout out 733 00:38:29,440 --> 00:38:32,759 Speaker 1: to Dave. Nothing against him. But now this one does 734 00:38:32,880 --> 00:38:35,879 Speaker 1: appear to be outside. Yeah, birthday party, I think was outside. Oh, 735 00:38:35,920 --> 00:38:38,120 Speaker 1: actually it was both. It was both indoor and outdoor. 736 00:38:38,200 --> 00:38:41,440 Speaker 1: But yeah, that's the best part. The Mayor's office says. Quote. 737 00:38:41,480 --> 00:38:45,800 Speaker 1: On Saturday, July thirty first, Mayor Bowser officiated an outdoor 738 00:38:45,880 --> 00:38:49,239 Speaker 1: rooftop wedding ceremony followed by an indoor dinner. The mayor 739 00:38:49,280 --> 00:38:52,680 Speaker 1: wore a mask indoors and compliance with the mandate, except 740 00:38:52,880 --> 00:38:57,400 Speaker 1: that the literal photo shows her not wearing the mask. 741 00:38:57,520 --> 00:39:01,160 Speaker 1: Here's what she says. If Mayor Bowser was photographed indoors, 742 00:39:01,400 --> 00:39:04,200 Speaker 1: it was taken during the indoor dinner whenever she was 743 00:39:04,239 --> 00:39:07,880 Speaker 1: eating or drinking. So again, let's get to the craziness 744 00:39:07,920 --> 00:39:10,200 Speaker 1: of all of this. Wear a mask inside, but if 745 00:39:10,200 --> 00:39:12,600 Speaker 1: you're in eating or drinking, then you don't have to 746 00:39:12,640 --> 00:39:16,560 Speaker 1: wear it. So apparently the virus just magically disappears whenever 747 00:39:16,640 --> 00:39:18,920 Speaker 1: you're eating or drinking. Nice of it. No, that yeah, 748 00:39:19,080 --> 00:39:22,120 Speaker 1: very very very thoughtful. Thank you virus for doing that. 749 00:39:23,560 --> 00:39:27,120 Speaker 1: All I'm trying to get at these people true clearly 750 00:39:27,160 --> 00:39:30,759 Speaker 1: don't believe that this indoor mass mandate means anything. So 751 00:39:30,880 --> 00:39:33,920 Speaker 1: why do the rest of us have to do it? 752 00:39:34,040 --> 00:39:37,399 Speaker 1: Rules for them and rules for us and not for them. 753 00:39:37,760 --> 00:39:41,080 Speaker 1: It is just peak hypocrisy. I'll let you do the 754 00:39:41,200 --> 00:39:43,400 Speaker 1: Chicago bear thing because I think it's so funny. But 755 00:39:43,719 --> 00:39:46,479 Speaker 1: it's just like this is happening all across the country. Yeah, 756 00:39:46,480 --> 00:39:49,920 Speaker 1: that's exactly right. So the wedding was officiated, she officiated 757 00:39:49,960 --> 00:39:52,480 Speaker 1: the wedding. That part was on the rooftop. The reception 758 00:39:52,640 --> 00:39:56,200 Speaker 1: is inside, and she's clearly pictured there without a mask 759 00:39:56,400 --> 00:39:59,879 Speaker 1: when she's not eating or drinking. Yes, look, I think 760 00:40:00,200 --> 00:40:02,799 Speaker 1: that's actually think that's fine. Fine, yeah, right, Like I 761 00:40:02,800 --> 00:40:05,279 Speaker 1: think we should be able to make those choices at 762 00:40:05,320 --> 00:40:09,560 Speaker 1: this point, especially if she's vaccinated. We're vaccinated, Like, if 763 00:40:09,600 --> 00:40:12,000 Speaker 1: you know the people around you, she probably knew everything. 764 00:40:12,120 --> 00:40:14,400 Speaker 1: She's sitting at the table with and felt comfortable, and 765 00:40:15,040 --> 00:40:19,879 Speaker 1: that is fine, But don't then go and impose these 766 00:40:19,920 --> 00:40:22,920 Speaker 1: health restrictions that you know are bogus, yes, that you 767 00:40:23,080 --> 00:40:26,759 Speaker 1: know are you know are not necessary that you know, 768 00:40:26,920 --> 00:40:30,319 Speaker 1: we're at a point where, look, if you didn't haven't 769 00:40:30,360 --> 00:40:34,280 Speaker 1: gotten vaccinated, you're making a choice and that's on you. Okay, 770 00:40:34,480 --> 00:40:38,000 Speaker 1: don't ask us to care more about the people's health, 771 00:40:38,000 --> 00:40:40,719 Speaker 1: as you said, Zager, than they care for themselves. So 772 00:40:41,040 --> 00:40:45,520 Speaker 1: this hypocrisy really makes all of it just appear as 773 00:40:45,600 --> 00:40:48,320 Speaker 1: what it is, which is this sort of like public 774 00:40:48,360 --> 00:40:51,640 Speaker 1: health theater. You know, the virus doesn't go away when 775 00:40:51,680 --> 00:40:54,040 Speaker 1: you're eating, the virus doesn't go away when you're drinking. 776 00:40:54,120 --> 00:40:56,840 Speaker 1: So if it's that serious, then I guess we shouldn't 777 00:40:56,880 --> 00:40:59,160 Speaker 1: be eating and drinking together in these sort of settings. 778 00:40:59,400 --> 00:41:01,160 Speaker 1: You can't have and this has been the problem from 779 00:41:01,200 --> 00:41:04,960 Speaker 1: the beginning, like you can't have these weird provisions that 780 00:41:05,600 --> 00:41:09,239 Speaker 1: don't make sense to people because then number one, when 781 00:41:09,400 --> 00:41:11,799 Speaker 1: the restrictions are necessary, they're not going to follow your 782 00:41:11,840 --> 00:41:14,040 Speaker 1: guidance because they're gonna go, wait a second, well, why 783 00:41:14,080 --> 00:41:16,000 Speaker 1: are the member of this in New York? Why are 784 00:41:16,040 --> 00:41:19,359 Speaker 1: the bars and restaurants open but school's close. Like, what's 785 00:41:19,360 --> 00:41:22,000 Speaker 1: going on with that? That is tax revenue? That doesn't 786 00:41:22,040 --> 00:41:24,080 Speaker 1: make any sense. Yeah, the answer is money, right, The 787 00:41:24,120 --> 00:41:28,080 Speaker 1: answer is money. Here's a good example. Chicago decided they're 788 00:41:28,080 --> 00:41:30,680 Speaker 1: going to delay their new restrictions because they don't want 789 00:41:30,680 --> 00:41:34,759 Speaker 1: to screw up Lollapalooza. Once again. We got a big 790 00:41:34,800 --> 00:41:37,320 Speaker 1: revenue maker for our city. So I guess it. Public 791 00:41:37,360 --> 00:41:39,839 Speaker 1: health be damned, and then they're gonna, you know, then 792 00:41:39,880 --> 00:41:41,799 Speaker 1: they're gonna act like, okay, once we put these things 793 00:41:41,800 --> 00:41:43,759 Speaker 1: in place. This is this is totally none of this 794 00:41:43,880 --> 00:41:46,520 Speaker 1: is serious. And we'll probably have segments of you know, 795 00:41:46,960 --> 00:41:50,920 Speaker 1: people shaming people for not wearing masks, et cetera, et cetera. 796 00:41:51,080 --> 00:41:55,440 Speaker 1: And look, I get the frustration. I really do understand 797 00:41:55,480 --> 00:41:57,520 Speaker 1: the frustration when you look at your fellow citizens and 798 00:41:57,520 --> 00:41:59,440 Speaker 1: you're like, why won't you just do the thing, like 799 00:41:59,520 --> 00:42:01,719 Speaker 1: we know what, you just freaking do the thing. I 800 00:42:01,760 --> 00:42:05,799 Speaker 1: do get that frustration, but you know, we're also that 801 00:42:05,840 --> 00:42:09,200 Speaker 1: doesn't mean that we should be imposing these restrictions on 802 00:42:09,280 --> 00:42:12,640 Speaker 1: everyonech sure it certainly shouldn't be going to lockdowns. You know. 803 00:42:12,680 --> 00:42:15,680 Speaker 1: Another thing, another hot topic, the vaccine mandate, like, I 804 00:42:15,719 --> 00:42:18,640 Speaker 1: think that it would be a disastrous idea as well, 805 00:42:18,800 --> 00:42:22,160 Speaker 1: even though it's actually more popular than I expected it 806 00:42:22,200 --> 00:42:25,040 Speaker 1: would be. But the backlash you would have from people, 807 00:42:25,120 --> 00:42:29,160 Speaker 1: I think would be so, you know, catastrophically extreme, and 808 00:42:29,200 --> 00:42:30,839 Speaker 1: it once again as a band aid, Like you're not 809 00:42:30,880 --> 00:42:33,320 Speaker 1: dealing with the reasons that people aren't getting vaccinated in 810 00:42:33,400 --> 00:42:35,319 Speaker 1: the first place, which, as you said, and you're going 811 00:42:35,400 --> 00:42:37,200 Speaker 1: to talk about more. I mean, these are people who 812 00:42:37,560 --> 00:42:40,360 Speaker 1: screwed over by the healthcare system, people who are afraid 813 00:42:40,400 --> 00:42:43,359 Speaker 1: of are afraid they are in fact going to get 814 00:42:43,400 --> 00:42:45,880 Speaker 1: charged for the vaccine and have some catastrophic bill that 815 00:42:45,880 --> 00:42:48,680 Speaker 1: they can afford, which is not a fear without basis 816 00:42:48,719 --> 00:42:51,080 Speaker 1: in America, by the way, that's a big component here, 817 00:42:51,440 --> 00:42:54,080 Speaker 1: people who are worried about, you know, having symptoms and 818 00:42:54,120 --> 00:42:56,279 Speaker 1: having a miswork or having a miswork just to get 819 00:42:56,320 --> 00:42:59,920 Speaker 1: the vaccine itself. You have this whole cascade of reasons 820 00:43:00,040 --> 00:43:03,360 Speaker 1: why people may not be getting vaccinated. So let's focus 821 00:43:03,360 --> 00:43:05,560 Speaker 1: on that and stop pretending like you really think that 822 00:43:05,600 --> 00:43:09,280 Speaker 1: all these restrictions are necessary when clearly your hypocritical behavior 823 00:43:09,320 --> 00:43:13,840 Speaker 1: says otherwise. Yeah, and it's really it's important always to 824 00:43:13,880 --> 00:43:16,120 Speaker 1: call these things out we did, you know, Gavin Newsome 825 00:43:16,200 --> 00:43:18,840 Speaker 1: and Steve Adler. I think the mayor of Austin whenever 826 00:43:18,880 --> 00:43:21,239 Speaker 1: he was in kankun and he's like, hey, you know, 827 00:43:21,360 --> 00:43:24,799 Speaker 1: stay in your house. This is not a time for relaxation. 828 00:43:25,000 --> 00:43:28,160 Speaker 1: I think this is exact words. Or there's so many 829 00:43:28,200 --> 00:43:29,720 Speaker 1: of them you can't even count. It's like the mayor 830 00:43:29,719 --> 00:43:34,200 Speaker 1: of Denver got on a flight, Andrew Coomo is Thanksgiving plans. 831 00:43:34,480 --> 00:43:38,279 Speaker 1: It's almost all of them. Give people the ability to 832 00:43:38,440 --> 00:43:41,359 Speaker 1: act as you do. People can make a choice. You know, 833 00:43:41,520 --> 00:43:44,480 Speaker 1: even if somebody at your table's not vaccinated, that's on them. 834 00:43:44,680 --> 00:43:47,359 Speaker 1: It's not on you. If you're protected, why do you care. 835 00:43:47,560 --> 00:43:49,239 Speaker 1: And if they don't want to do it, you know what, 836 00:43:49,400 --> 00:43:51,479 Speaker 1: it's not your business. At the end of the day, 837 00:43:51,600 --> 00:43:54,880 Speaker 1: it's a free country. People are not giving enough agency 838 00:43:55,160 --> 00:43:58,760 Speaker 1: to the actual people who these guidelines affect. And also 839 00:43:59,080 --> 00:44:01,719 Speaker 1: what's so dumb about this is that DC already had 840 00:44:01,760 --> 00:44:05,480 Speaker 1: a high vaccination rate. As I said, hospitalizations completely find 841 00:44:05,640 --> 00:44:07,560 Speaker 1: ic us. You know, they've got more beds than ever. 842 00:44:07,840 --> 00:44:10,840 Speaker 1: And then there's been two coronavirus deaths here in the 843 00:44:10,960 --> 00:44:13,880 Speaker 1: last two weeks. It makes complete and it's complete and 844 00:44:14,000 --> 00:44:16,760 Speaker 1: utter nonsense. The idea that we needed a mass mandate 845 00:44:17,040 --> 00:44:20,920 Speaker 1: in the first place, and yet the mayor herself imposes 846 00:44:20,960 --> 00:44:24,319 Speaker 1: one and then violates it shortly thereafter, just showing you 847 00:44:24,520 --> 00:44:26,400 Speaker 1: that none of it was really that necessary in the 848 00:44:26,400 --> 00:44:30,239 Speaker 1: first place. Yeah, if you are vaccinated, you're good. I mean, 849 00:44:30,400 --> 00:44:33,600 Speaker 1: that's really the bottom line. If you're vaccinated, you're good. 850 00:44:33,760 --> 00:44:37,400 Speaker 1: Your chances of even getting so low, your chances of 851 00:44:37,400 --> 00:44:41,680 Speaker 1: being hospitalized even lower, your chances of dying as closely 852 00:44:41,719 --> 00:44:45,520 Speaker 1: snil to zero as it could possibly get. That is 853 00:44:45,600 --> 00:44:48,240 Speaker 1: the moral of the story of both of the past 854 00:44:48,239 --> 00:44:51,880 Speaker 1: two segments is if you're vaccinated, you're good. If you're not, 855 00:44:52,400 --> 00:44:56,440 Speaker 1: maybe go get vaccinated. Okay, another story with an important 856 00:44:56,520 --> 00:44:59,480 Speaker 1: update here for you, our friends over the at the 857 00:44:59,520 --> 00:45:04,360 Speaker 1: Lincoln Project. You may have thought that the project was dead, 858 00:45:04,480 --> 00:45:07,000 Speaker 1: that the dream was dead, but in fact, Soger, the 859 00:45:07,120 --> 00:45:10,480 Speaker 1: dream is still alive. We covered, I really think we 860 00:45:10,480 --> 00:45:12,720 Speaker 1: were some of the first to cover over it. Rising 861 00:45:13,200 --> 00:45:17,000 Speaker 1: the scandal involving John Weaver and his attempt to groom 862 00:45:17,080 --> 00:45:19,640 Speaker 1: all of these young men, some of them dramatically under 863 00:45:19,680 --> 00:45:23,560 Speaker 1: the age, promising jobs and political favors and all this 864 00:45:23,640 --> 00:45:26,880 Speaker 1: sort of stuff well documented. Okay, so massive scandal the 865 00:45:26,920 --> 00:45:31,080 Speaker 1: media ignored for forever the everybody else at the Lincoln Project. 866 00:45:31,200 --> 00:45:33,520 Speaker 1: You know, there was a lot of email traffic revealed 867 00:45:33,600 --> 00:45:35,600 Speaker 1: that they sure seemed to know what was going on 868 00:45:35,719 --> 00:45:39,160 Speaker 1: for a long time before they ever acknowledged it, before 869 00:45:39,160 --> 00:45:43,920 Speaker 1: they ever got John Weaver out of that organization. Well, 870 00:45:44,280 --> 00:45:48,560 Speaker 1: they are back to some significant fundraising receipts. Let's throw 871 00:45:48,600 --> 00:45:51,399 Speaker 1: this tweet up on the screen from Rob Piers who 872 00:45:51,400 --> 00:45:55,080 Speaker 1: followed this closely. So their FEC report shows that they 873 00:45:55,200 --> 00:45:59,840 Speaker 1: have gotten five million dollars in over the past quarter. 874 00:46:00,080 --> 00:46:03,480 Speaker 1: That is quite a significant amount, four point eight million. 875 00:46:03,560 --> 00:46:07,840 Speaker 1: They did have massive operating expenses and legal bills. Interesting 876 00:46:08,000 --> 00:46:10,240 Speaker 1: not surprising there, So if you're giving to the Lincoln 877 00:46:10,280 --> 00:46:13,520 Speaker 1: Project at this point, you're basically just paying their legal bills. 878 00:46:14,120 --> 00:46:17,240 Speaker 1: They spent one point three million on non political media buys, 879 00:46:17,440 --> 00:46:21,120 Speaker 1: that's like pr essentially for themselves, spent one point one 880 00:46:21,160 --> 00:46:24,800 Speaker 1: million on their streaming services whatever that is, and paid 881 00:46:24,920 --> 00:46:28,520 Speaker 1: over nine hundred and sixty four thousand on their legal fees, 882 00:46:28,680 --> 00:46:33,080 Speaker 1: six hundred and ten thousand on communication consulting again pr essentially. 883 00:46:34,080 --> 00:46:37,560 Speaker 1: Outside of that, the biggest recipient of Lincoln Project cash 884 00:46:37,880 --> 00:46:41,799 Speaker 1: was Impartial Partners that is an anonymously registered Albany, New 885 00:46:41,880 --> 00:46:44,799 Speaker 1: York LLC. That form in May that is Rob Puts. 886 00:46:44,800 --> 00:46:47,279 Speaker 1: It probably definitely not a vehicle for someone wishing to 887 00:46:47,320 --> 00:46:50,520 Speaker 1: accumulate generational wealth. That's the thing with them too, is 888 00:46:50,520 --> 00:46:52,520 Speaker 1: like if you look down the list, it's not just 889 00:46:52,600 --> 00:46:55,920 Speaker 1: the money that's going to their founders in terms of 890 00:46:56,000 --> 00:46:59,680 Speaker 1: direct payments and salary. There's also this whole slew of 891 00:46:59,719 --> 00:47:03,799 Speaker 1: consulting firms that they're paying that are also often affiliated 892 00:47:03,840 --> 00:47:07,040 Speaker 1: with these same dudes exactly owned by them. In the beginning, 893 00:47:07,120 --> 00:47:10,640 Speaker 1: it's been an insular project in order to enrich themselves. 894 00:47:10,680 --> 00:47:12,759 Speaker 1: Read Gallon, one of the members there, four hundred and 895 00:47:12,840 --> 00:47:15,640 Speaker 1: ten k ron Stesslo three hundred and twenty four K, 896 00:47:15,880 --> 00:47:17,960 Speaker 1: Ben Howe two hundred and fifty K, one hundred and 897 00:47:17,960 --> 00:47:20,080 Speaker 1: seventy three K to Nate Nesbit, all the way down 898 00:47:20,160 --> 00:47:22,480 Speaker 1: the line to Steve Schmidt. We had that whole thread, 899 00:47:22,600 --> 00:47:24,960 Speaker 1: you know, animated there just so you could see. Al 900 00:47:25,040 --> 00:47:26,359 Speaker 1: So they've paid a lot of money. And let me 901 00:47:26,400 --> 00:47:29,359 Speaker 1: just add this one also to Tara Stepmeyer. Remember her, 902 00:47:29,719 --> 00:47:31,799 Speaker 1: she's the one that made that. She was the head 903 00:47:31,800 --> 00:47:35,440 Speaker 1: of acronym that made the widow app that was so 904 00:47:35,520 --> 00:47:39,040 Speaker 1: successful in Iowa, so I can see why they'd be 905 00:47:39,080 --> 00:47:42,040 Speaker 1: paying her big bucks at this point. She's really really 906 00:47:42,040 --> 00:47:44,520 Speaker 1: effective there. Only here do you get to fail all 907 00:47:44,560 --> 00:47:47,120 Speaker 1: the way up to the very top and make millions 908 00:47:47,120 --> 00:47:49,319 Speaker 1: of dollars doing it. They point out also that I 909 00:47:49,320 --> 00:47:51,480 Speaker 1: guess she was successful though, if their goal was to, 910 00:47:51,680 --> 00:47:54,520 Speaker 1: you know, in pumping up Pete boutages here now, as Yester, 911 00:47:54,840 --> 00:47:58,320 Speaker 1: Secretary of Transportation and Glenn Greenwald points out Rick Wilson, 912 00:47:58,360 --> 00:48:01,160 Speaker 1: you guys might remember him of the Lincoln Project. Well, 913 00:48:01,239 --> 00:48:07,720 Speaker 1: go fundme just deleted his twenty eighteen GoFundMe campaign where 914 00:48:07,760 --> 00:48:10,960 Speaker 1: he raised all of this money for a film that 915 00:48:11,040 --> 00:48:15,680 Speaker 1: he never made. Since twenty eighteen, they quietly deleted the page. 916 00:48:15,760 --> 00:48:18,600 Speaker 1: They ignored questions, why are we pointing any of this out? 917 00:48:18,640 --> 00:48:20,880 Speaker 1: It's not just a dunk. It's that there are a 918 00:48:20,920 --> 00:48:23,960 Speaker 1: lot of well meaning people who did not like Trump 919 00:48:24,239 --> 00:48:27,200 Speaker 1: and who gave the Lincoln Project money because they felt 920 00:48:27,239 --> 00:48:30,719 Speaker 1: like the Lincoln Project was fighting back against him. Then 921 00:48:30,800 --> 00:48:34,080 Speaker 1: Trump lost, and then they had to figure out how 922 00:48:34,120 --> 00:48:35,839 Speaker 1: they were going to keep going forward. They're like, our 923 00:48:35,960 --> 00:48:38,960 Speaker 1: mission is to destroy the Republican Party, and I'm like, 924 00:48:39,280 --> 00:48:42,000 Speaker 1: you know, something tells me, this isn't about never Trumper 925 00:48:42,080 --> 00:48:44,799 Speaker 1: is taking down Trump. This is something else. So they 926 00:48:44,880 --> 00:48:47,880 Speaker 1: reinvented this whole new cause about why they need to 927 00:48:47,920 --> 00:48:52,000 Speaker 1: survive stamping out trump Ism, and they're raising millions of 928 00:48:52,040 --> 00:48:56,319 Speaker 1: dollars off of maybe misguided, but well meaning people who 929 00:48:56,400 --> 00:48:59,400 Speaker 1: want to, you know, make a political difference and feel 930 00:48:59,480 --> 00:49:02,359 Speaker 1: that this grew is doing something. And our goal in 931 00:49:02,400 --> 00:49:04,600 Speaker 1: all of this has just been to show you, look, 932 00:49:05,360 --> 00:49:08,960 Speaker 1: they're taking your money, giving it to themselves, spending it 933 00:49:09,000 --> 00:49:12,000 Speaker 1: on their legal bills, and basically, as Red put it, 934 00:49:12,280 --> 00:49:16,400 Speaker 1: taking everything down and grabbing everything that isn't nailed down 935 00:49:16,600 --> 00:49:19,560 Speaker 1: on the way out. And it's just like the Trump Pack. 936 00:49:19,719 --> 00:49:22,120 Speaker 1: So don't let anybody say that we're just targeting that. 937 00:49:22,280 --> 00:49:25,560 Speaker 1: Last week we covered the Trump Pack and how I 938 00:49:25,640 --> 00:49:28,359 Speaker 1: raised all this money on Stop the Steal hasn't spent 939 00:49:28,440 --> 00:49:31,279 Speaker 1: a dime of it, challenging any election results audits is 940 00:49:31,360 --> 00:49:34,799 Speaker 1: letting well meaning people, you know, fund it themselves or 941 00:49:34,880 --> 00:49:38,320 Speaker 1: give him money to basically do whatever the hell he wants. 942 00:49:38,560 --> 00:49:41,200 Speaker 1: This is a bipartisan issue. But part of the problem 943 00:49:41,200 --> 00:49:43,360 Speaker 1: that we have is the Washington Post will write a 944 00:49:43,360 --> 00:49:45,919 Speaker 1: whole story about the Trump Pack, and look, of course, 945 00:49:45,920 --> 00:49:48,200 Speaker 1: he is a former president, all of that, but this 946 00:49:48,320 --> 00:49:53,919 Speaker 1: was an enormously influential in elite media circles, essentially democratic 947 00:49:54,239 --> 00:49:58,759 Speaker 1: pack which has enriched these people to the tune of 948 00:49:58,840 --> 00:50:01,560 Speaker 1: millions of dollars. And you know, the Free Beacon put 949 00:50:01,560 --> 00:50:04,440 Speaker 1: this particularly well. Put this tear sheet up there. Lincoln 950 00:50:04,480 --> 00:50:07,960 Speaker 1: Project co founder John Weaver paid off his one point 951 00:50:08,000 --> 00:50:13,600 Speaker 1: four million dollar mortgage twenty seven years ahead of schedule. 952 00:50:13,880 --> 00:50:17,560 Speaker 1: Twenty seven years ahead of schedule. Must be really nice, right, 953 00:50:17,680 --> 00:50:19,680 Speaker 1: in order to just pay off your house so quickly. 954 00:50:19,719 --> 00:50:21,880 Speaker 1: That's the dream of a lot of Americans. We just 955 00:50:21,920 --> 00:50:24,480 Speaker 1: covered the fact that the eviction moratorium and this is 956 00:50:24,520 --> 00:50:28,000 Speaker 1: the man who was allegedly for mister Weaver's lawyers out 957 00:50:28,000 --> 00:50:31,279 Speaker 1: there grooming men as young as like fifteen years old 958 00:50:31,320 --> 00:50:33,279 Speaker 1: that our friend Ryan was. Well, they didn't admit to 959 00:50:33,280 --> 00:50:34,759 Speaker 1: some of the stuff. He admitted to some of it. 960 00:50:34,760 --> 00:50:37,120 Speaker 1: I think he denies them. Look, I'm just covering Max's 961 00:50:37,160 --> 00:50:40,520 Speaker 1: you know. It's like, but our friend Ryan Gerdowsky revealed 962 00:50:40,640 --> 00:50:43,440 Speaker 1: this entire grooming campaign, which was then revealed in the 963 00:50:43,440 --> 00:50:46,160 Speaker 1: New York Times and more. And you can just see 964 00:50:46,440 --> 00:50:50,399 Speaker 1: how all of this it continues to perpetuate even now. 965 00:50:50,440 --> 00:50:53,680 Speaker 1: Trump is gone. He Trump himself continues to get it. 966 00:50:53,719 --> 00:50:56,520 Speaker 1: But the whole point of Trump's grifting is that there 967 00:50:56,640 --> 00:51:01,359 Speaker 1: became an entire cottage industry of other grift grifting off 968 00:51:01,400 --> 00:51:04,960 Speaker 1: of the desire to end his grift. So it's like 969 00:51:05,400 --> 00:51:08,960 Speaker 1: where do you turn for any hopeful story here? By 970 00:51:09,000 --> 00:51:11,279 Speaker 1: the way, Like, if you're a leftist like me, these 971 00:51:11,280 --> 00:51:13,319 Speaker 1: guys are a particular problem because I mean they're the 972 00:51:13,360 --> 00:51:16,160 Speaker 1: ones who really pushed like Joe Biden. They're the ones 973 00:51:16,160 --> 00:51:19,040 Speaker 1: most aggressively out there on MSNBC saying like, oh, the 974 00:51:19,120 --> 00:51:21,120 Speaker 1: left of the party is terrible, and they're the reason 975 00:51:21,160 --> 00:51:23,840 Speaker 1: for anything bad that ever happens. Bill Crystal, who's not 976 00:51:23,880 --> 00:51:25,640 Speaker 1: a Lincoln Project guy, but he's sort of like Lincoln 977 00:51:25,640 --> 00:51:30,239 Speaker 1: Project adjacent similar ilk right of never Trump is out 978 00:51:30,239 --> 00:51:33,200 Speaker 1: there right now pushing Sean tell Brown over Gina Turner, 979 00:51:33,239 --> 00:51:35,880 Speaker 1: which I'm about to talk about. So it's not without 980 00:51:35,960 --> 00:51:39,239 Speaker 1: it's not consequence free. As you said, all these people 981 00:51:39,320 --> 00:51:42,360 Speaker 1: who really genuinely believed in these guys and thought they 982 00:51:42,360 --> 00:51:44,520 Speaker 1: were going to help get Trump out of office, gave 983 00:51:44,560 --> 00:51:46,040 Speaker 1: a lot of money to them, put a lot of 984 00:51:46,080 --> 00:51:48,680 Speaker 1: hope in them. And that's the thing too, is I mean, 985 00:51:48,680 --> 00:51:50,520 Speaker 1: you might be able to say something if at least 986 00:51:50,560 --> 00:51:53,720 Speaker 1: their ads were effective, but we know from the data 987 00:51:53,840 --> 00:51:56,120 Speaker 1: that they were the worst ads that were out there 988 00:51:56,120 --> 00:51:59,759 Speaker 1: in terms of actually persuading people. It was another like, 989 00:52:00,480 --> 00:52:02,719 Speaker 1: I mean, this was like a real I guess innovation 990 00:52:02,840 --> 00:52:04,960 Speaker 1: in terms of grift. We're going to make ads that 991 00:52:05,040 --> 00:52:08,200 Speaker 1: aren't actually about persuasion, aren't actually about winning the election. 992 00:52:08,680 --> 00:52:12,200 Speaker 1: They're about catering to this base that is already a 993 00:52:12,320 --> 00:52:15,839 Speaker 1: million percent with us and making them feel good. That's 994 00:52:15,880 --> 00:52:17,960 Speaker 1: what these ads are going to be about. That's what 995 00:52:18,000 --> 00:52:20,319 Speaker 1: they did. That's what they made millions of I think 996 00:52:20,320 --> 00:52:24,040 Speaker 1: they raised one hundred million dollars in the last cycle. Okay, 997 00:52:24,560 --> 00:52:27,879 Speaker 1: millions and millions of dollars, made all these guys rich. 998 00:52:28,280 --> 00:52:30,319 Speaker 1: And then after the election was over, they also turned 999 00:52:30,360 --> 00:52:32,719 Speaker 1: around and that I guess that's what the streaming services 1000 00:52:32,719 --> 00:52:34,160 Speaker 1: they are. They were like, we're going to become a 1001 00:52:34,280 --> 00:52:38,520 Speaker 1: media dat So it's not enough Mark that they already 1002 00:52:38,560 --> 00:52:42,040 Speaker 1: have these platforms on MSNBC in particular, but also CNN 1003 00:52:42,160 --> 00:52:43,880 Speaker 1: like oh now, and are making all this kind of 1004 00:52:43,960 --> 00:52:46,560 Speaker 1: money with their books and all that stuff. Now we're 1005 00:52:46,600 --> 00:52:48,520 Speaker 1: going to also, we want to have our own media 1006 00:52:48,520 --> 00:52:50,919 Speaker 1: platform so we can further our influence, and I guess 1007 00:52:50,920 --> 00:52:54,080 Speaker 1: they're in the project of rebuilding themselves to the point 1008 00:52:54,080 --> 00:52:56,600 Speaker 1: where that might be a possibility. Yeah. It really is 1009 00:52:56,719 --> 00:52:59,400 Speaker 1: just disgraceful, and it just shows you how so much 1010 00:52:59,560 --> 00:53:02,400 Speaker 1: politics ends up becoming a grift and having such pernicious 1011 00:53:02,800 --> 00:53:05,680 Speaker 1: impacts on so many well meaning people out there. That's right, 1012 00:53:06,000 --> 00:53:08,160 Speaker 1: think one way or the other, and then other here 1013 00:53:08,160 --> 00:53:10,959 Speaker 1: in DC getting rich, paying for their second house, paying 1014 00:53:10,960 --> 00:53:13,840 Speaker 1: for their boats. Whatever. Wow, you guys must really like 1015 00:53:13,880 --> 00:53:15,840 Speaker 1: listening to our voices. Well, I know this is annoying 1016 00:53:15,880 --> 00:53:18,480 Speaker 1: instead of making you listen to a Viagra commercial. When 1017 00:53:18,520 --> 00:53:20,640 Speaker 1: you're done, check out the other podcast I do with 1018 00:53:20,719 --> 00:53:23,239 Speaker 1: Marshall Kasoff called The Realignment. We talk a lot about 1019 00:53:23,280 --> 00:53:26,680 Speaker 1: the deeper issues that are changing realigning in American society. 1020 00:53:26,800 --> 00:53:29,080 Speaker 1: You always need more Crystal and Sag in your daily lives. 1021 00:53:29,200 --> 00:53:32,839 Speaker 1: Take care, guys, Crystal, what are you taking a look at? So, guys, 1022 00:53:32,880 --> 00:53:36,040 Speaker 1: Tomorrow is a big day in the battle between the corrupt, 1023 00:53:36,080 --> 00:53:39,760 Speaker 1: corporate establishment of the Democratic Party and the insurgent left. 1024 00:53:40,160 --> 00:53:43,480 Speaker 1: Nina Turner is on the ballot in an Ohio congressional 1025 00:53:43,480 --> 00:53:45,680 Speaker 1: special election to fill the seat that was vacated by 1026 00:53:45,680 --> 00:53:48,520 Speaker 1: Marsha Fudge when she was confirmed to head the Department 1027 00:53:48,560 --> 00:53:51,160 Speaker 1: of Housing and Urban Development. So there's going to be 1028 00:53:51,160 --> 00:53:54,640 Speaker 1: something like thirteen candidates on the ballot. But Turner's primary 1029 00:53:54,640 --> 00:53:57,560 Speaker 1: competitor is Sean Tel Brown. She is the chair of 1030 00:53:57,600 --> 00:54:00,240 Speaker 1: the Democratic Party of Cuyahoga County and she is also 1031 00:54:00,320 --> 00:54:04,000 Speaker 1: a county councilwoman. Brown is won the backing of luminaries 1032 00:54:04,080 --> 00:54:07,520 Speaker 1: like Hillary Clinton, Jim Cliburn, and the Congressional Black Caucus. 1033 00:54:07,840 --> 00:54:11,160 Speaker 1: Nina Turner has the support of Bernie Sanders, Cornell West 1034 00:54:11,160 --> 00:54:14,480 Speaker 1: and the Squad. Both also have plenty of local backers 1035 00:54:14,520 --> 00:54:17,719 Speaker 1: and high profile local endorsements. Here's a little taste of 1036 00:54:17,719 --> 00:54:19,920 Speaker 1: what it sounded like as their surrogates made the case. 1037 00:54:20,520 --> 00:54:23,520 Speaker 1: And you need to find people to sit to Washington. 1038 00:54:23,719 --> 00:54:28,440 Speaker 1: We can sit down and turn there one fo intu 1039 00:54:28,520 --> 00:54:45,759 Speaker 1: a villager excuti honey. The campaign of profound love and 1040 00:54:46,120 --> 00:54:49,440 Speaker 1: justice is what love looks like in public, just like 1041 00:54:49,640 --> 00:54:56,120 Speaker 1: tenderness is what love feels like in private. And Nina 1042 00:54:56,239 --> 00:54:59,560 Speaker 1: Turner is a great wave in an ocean. She comes 1043 00:54:59,560 --> 00:55:02,839 Speaker 1: from a black people who have been chronically hated for 1044 00:55:02,920 --> 00:55:07,200 Speaker 1: four hundred years, but exemplifies levels of love that make 1045 00:55:07,239 --> 00:55:13,480 Speaker 1: her a love warrior. And that's why we can say 1046 00:55:13,800 --> 00:55:17,160 Speaker 1: to some of our brothers and sisters who are part 1047 00:55:17,200 --> 00:55:20,680 Speaker 1: of the corporate wing of the Democratic Party, with their 1048 00:55:20,800 --> 00:55:28,080 Speaker 1: milktoast neoliberalism, we say we won't vision integrity. We want 1049 00:55:28,080 --> 00:55:32,000 Speaker 1: to focus on the lease of these, the poor, the 1050 00:55:32,120 --> 00:55:40,000 Speaker 1: working class, everyday people. Doctor West, there truly a national treasure. 1051 00:55:40,600 --> 00:55:43,000 Speaker 1: So let's dig in a little bit on exactly what 1052 00:55:43,160 --> 00:55:45,880 Speaker 1: kind of a candidate the establishment has lined up behind 1053 00:55:45,880 --> 00:55:49,360 Speaker 1: here with Sean Tel Brown, well, typically corrupt kind of course. 1054 00:55:49,719 --> 00:55:52,279 Speaker 1: In fact, the Daily Poster just revealed that Brown is 1055 00:55:52,320 --> 00:55:56,760 Speaker 1: facing a potential state ethics probe over millions of dollars 1056 00:55:56,760 --> 00:55:59,319 Speaker 1: of contracts that she routed to companies affiliated with her 1057 00:55:59,400 --> 00:56:03,880 Speaker 1: romantic part partner and with campaign donors. Here is that report. Brown, 1058 00:56:04,000 --> 00:56:07,360 Speaker 1: who had pledged to recuse herself as necessary from contracts 1059 00:56:07,360 --> 00:56:10,960 Speaker 1: involving her partner, Mark Perkins, had used her position as 1060 00:56:11,040 --> 00:56:15,040 Speaker 1: Cuyahoga County Commissioner to help steer seventeen million dollars in 1061 00:56:15,160 --> 00:56:19,200 Speaker 1: contracts to Perk. Perk was founded with Perkins's uncle, but 1062 00:56:19,320 --> 00:56:21,680 Speaker 1: is now owned by the Stefani family, who have long 1063 00:56:21,760 --> 00:56:24,440 Speaker 1: established business ties to the Perkins family and who have 1064 00:56:24,520 --> 00:56:28,560 Speaker 1: supported Brown's campaigns for office. The intercepted the initial reporting 1065 00:56:28,600 --> 00:56:30,839 Speaker 1: on those corrupt dealings, so very much credit to them. 1066 00:56:31,120 --> 00:56:33,279 Speaker 1: Of course, none of this is any issue at all 1067 00:56:33,320 --> 00:56:35,640 Speaker 1: for the wing of the party that endorsed Brown. Actually, 1068 00:56:35,719 --> 00:56:38,360 Speaker 1: the fact that she plays by the typical establishment rules 1069 00:56:38,360 --> 00:56:40,799 Speaker 1: of corrupt politics. That's part of the reason why they're 1070 00:56:40,800 --> 00:56:44,279 Speaker 1: supporting her. So confidently. They know Chantel Brown is not 1071 00:56:44,320 --> 00:56:47,160 Speaker 1: going to cause them any trouble whatsoever. Her own ethical 1072 00:56:47,239 --> 00:56:49,879 Speaker 1: lapses serve as a sort of insurance policy that shall 1073 00:56:49,960 --> 00:56:53,160 Speaker 1: reliably tow the Democratic party line and look the other 1074 00:56:53,200 --> 00:56:57,359 Speaker 1: way on any of their corrupt dealings. And consequently, quite 1075 00:56:57,400 --> 00:57:00,399 Speaker 1: an interesting coalition has gone all in for Brown. It's 1076 00:57:00,480 --> 00:57:04,680 Speaker 1: horseshoe theory politics except for corrupt Neoliberals and corrupt Reaganites. 1077 00:57:05,160 --> 00:57:08,200 Speaker 1: A pro Israel pack that has been influential in other 1078 00:57:08,280 --> 00:57:11,400 Speaker 1: races against progressives has dropped hundreds of thousands of dollars 1079 00:57:11,480 --> 00:57:14,800 Speaker 1: in ads for Brown. Their largest donor is an oil 1080 00:57:14,840 --> 00:57:18,560 Speaker 1: and gas executive. Corporate backed Third Way also got in 1081 00:57:18,600 --> 00:57:20,919 Speaker 1: on the action with a major digital ad buy around 1082 00:57:20,960 --> 00:57:24,160 Speaker 1: a quarter for a million dollars attacking Nina so Brown's 1083 00:57:24,240 --> 00:57:27,280 Speaker 1: major attack against Turner is that she is not sufficiently 1084 00:57:27,400 --> 00:57:30,320 Speaker 1: loyal to the Democratic Party. Personally, not sure how that's 1085 00:57:30,360 --> 00:57:32,760 Speaker 1: a bad thing, but anyway, This hit on Nina is 1086 00:57:32,960 --> 00:57:35,520 Speaker 1: especially ironic given that Brown has won the backing of 1087 00:57:35,600 --> 00:57:39,720 Speaker 1: quite a few Republicans. Major Trump donor Robert Kraft has 1088 00:57:39,720 --> 00:57:43,439 Speaker 1: helped fund the pro Israel pack spending a former Republican 1089 00:57:43,520 --> 00:57:47,440 Speaker 1: Party chair, finance execs in a Cleveland area real estate 1090 00:57:47,480 --> 00:57:50,400 Speaker 1: exec and war They're all helping to finance Brown's campaign 1091 00:57:50,960 --> 00:57:53,720 Speaker 1: not to be Undone. Bill Crystal has been especially vocal 1092 00:57:53,760 --> 00:57:57,400 Speaker 1: in his support of Chantel Brown as well. Apparently it's 1093 00:57:57,480 --> 00:58:00,560 Speaker 1: fine to make common cause with Republicans, especially the pro 1094 00:58:00,720 --> 00:58:03,440 Speaker 1: war crime wing of the party. No one questions your 1095 00:58:03,520 --> 00:58:07,240 Speaker 1: sacred Democratic Party loyalty. Then, come to think of it, 1096 00:58:07,640 --> 00:58:10,680 Speaker 1: you can trash the Democratic Party as much as you 1097 00:58:10,720 --> 00:58:12,600 Speaker 1: want from the right and it's really not a problem 1098 00:58:12,640 --> 00:58:14,800 Speaker 1: at all. But God help you if you critique the 1099 00:58:14,800 --> 00:58:16,640 Speaker 1: party from the left or caught in a room with 1100 00:58:16,680 --> 00:58:19,920 Speaker 1: say Susan Sarandon, they will move heaven and earth to 1101 00:58:20,040 --> 00:58:23,480 Speaker 1: destroy you. Big Pharma, which of course hates Nina's position 1102 00:58:23,520 --> 00:58:25,640 Speaker 1: on Medicare for All, they've also been lining up to 1103 00:58:25,680 --> 00:58:28,920 Speaker 1: support Brown. Weeks after Nina launched an ad focused on 1104 00:58:28,960 --> 00:58:32,240 Speaker 1: her support for single payer healthcare, farm a lobbyists in 1105 00:58:32,320 --> 00:58:35,120 Speaker 1: their allies they got together in Washington to throw a 1106 00:58:35,120 --> 00:58:39,120 Speaker 1: big old fundraiser for Chantel Brown. Jim Cliburn himself, of course, 1107 00:58:39,240 --> 00:58:42,120 Speaker 1: is a top recipient of big pharma cash. Now, the 1108 00:58:42,120 --> 00:58:44,680 Speaker 1: ads they've run against Nina Turner have really been something 1109 00:58:44,720 --> 00:58:48,080 Speaker 1: as well. Even as a coalition of Republicans, corporate Democrats, 1110 00:58:48,080 --> 00:58:51,280 Speaker 1: and economic royalists back Brown, They've somehow tried to paint 1111 00:58:51,400 --> 00:58:54,920 Speaker 1: Nina to the electric as not being progressive enough because 1112 00:58:54,920 --> 00:58:58,200 Speaker 1: they know that Nina's actual policy positions are in fact 1113 00:58:58,240 --> 00:59:01,240 Speaker 1: extremely popular in the district. So the pro Israel pack 1114 00:59:01,320 --> 00:59:03,959 Speaker 1: I mentioned they sent out a truly scurrilous attack mailer 1115 00:59:04,080 --> 00:59:07,640 Speaker 1: suggesting that Nina somehow doesn't support and lifting the minimum wage, 1116 00:59:07,720 --> 00:59:10,920 Speaker 1: universal health care, or immigration reform. This is all nonsense, 1117 00:59:10,920 --> 00:59:14,000 Speaker 1: of course, but they are all in to defeat Nina, 1118 00:59:14,360 --> 00:59:16,439 Speaker 1: and chances are good we don't even know the half 1119 00:59:16,440 --> 00:59:19,520 Speaker 1: of it, because history suggests these people would do absolutely 1120 00:59:19,640 --> 00:59:22,520 Speaker 1: anything to crush the left. They rig the primary for 1121 00:59:22,600 --> 00:59:26,560 Speaker 1: Hillary in twenty sixteen. Obama and Bill Clinton intervened following 1122 00:59:26,560 --> 00:59:29,240 Speaker 1: twenty sixteen to make sure that no Sanders aligned forces 1123 00:59:29,280 --> 00:59:31,480 Speaker 1: could get a foothold at the DNC or in the 1124 00:59:31,480 --> 00:59:34,800 Speaker 1: party apparatus. When a pro Bernie slate you'll recall this 1125 00:59:34,880 --> 00:59:38,280 Speaker 1: one party offices in Nevada, the entire Democratic Party staff 1126 00:59:38,360 --> 00:59:41,160 Speaker 1: quit rather than work with them. Don't even get me 1127 00:59:41,200 --> 00:59:44,000 Speaker 1: started on whatever the hell happened in Iowa in twenty 1128 00:59:44,040 --> 00:59:47,600 Speaker 1: twenty with the shadow app The whole conspiracy to take 1129 00:59:47,640 --> 00:59:50,480 Speaker 1: down Alex Morse also comes to mind. But it's not 1130 00:59:50,520 --> 00:59:53,800 Speaker 1: just national politics where Democrats resort to extreme tactics to 1131 00:59:53,800 --> 00:59:56,960 Speaker 1: guarantee that no one with the mind of their own survives. 1132 00:59:57,160 --> 00:59:59,800 Speaker 1: When Bertie was first elected mayor in Burlington, remember this 1133 01:00:00,040 --> 01:00:03,480 Speaker 1: equivalent of the city council effectively defunded the mayor's office 1134 01:00:03,480 --> 01:00:05,400 Speaker 1: so that he would have to lean on volunteers to 1135 01:00:05,440 --> 01:00:08,400 Speaker 1: conduct city business until he was able to run his 1136 01:00:08,440 --> 01:00:12,040 Speaker 1: own slate of candidates and secure some supporters on that council. 1137 01:00:12,840 --> 01:00:16,080 Speaker 1: Or right now in Buffalo, the city Council is debating 1138 01:00:16,280 --> 01:00:20,160 Speaker 1: abolishing the position of mayor altogether. Just so happens that 1139 01:00:20,240 --> 01:00:23,600 Speaker 1: an outsider socialist named India Walton just won the Democratic 1140 01:00:23,600 --> 01:00:27,480 Speaker 1: primary and is poised to become mayor can't have that look. 1141 01:00:27,680 --> 01:00:29,320 Speaker 1: I know some of you doubt that Nina is going 1142 01:00:29,400 --> 01:00:31,680 Speaker 1: to be different. You've been disappointed by the squad and 1143 01:00:31,720 --> 01:00:34,160 Speaker 1: by Bernie, and you wonder if she's really going to 1144 01:00:34,200 --> 01:00:36,440 Speaker 1: stay true to her word and to fight, whether she 1145 01:00:36,600 --> 01:00:40,000 Speaker 1: truly be a threat to the establishment. You also know 1146 01:00:40,040 --> 01:00:42,000 Speaker 1: that I've known Nina for a long time. I consider 1147 01:00:42,040 --> 01:00:44,200 Speaker 1: her a dear friend. I've seen her heart and her 1148 01:00:44,240 --> 01:00:46,920 Speaker 1: tenacity up close. There is zero doubt that I am 1149 01:00:46,920 --> 01:00:49,560 Speaker 1: as biased as they come when it comes to Nina Turner. 1150 01:00:49,960 --> 01:00:52,440 Speaker 1: But don't take my word for it. Just look at 1151 01:00:52,480 --> 01:00:56,200 Speaker 1: the overwhelming, whelming show of force coming from the corporate 1152 01:00:56,320 --> 01:00:59,960 Speaker 1: side of the Ledger. They will do anything to destroy Nina. 1153 01:01:00,200 --> 01:01:03,200 Speaker 1: No lie is too brazen, no money is too dirty. 1154 01:01:03,720 --> 01:01:06,400 Speaker 1: All because she's a good person who actually might do 1155 01:01:06,480 --> 01:01:10,560 Speaker 1: what's right instead of just unthinkingly towing the party line. 1156 01:01:10,840 --> 01:01:13,560 Speaker 1: They think she's dangerous. We'll see if they have the 1157 01:01:13,560 --> 01:01:17,240 Speaker 1: power to destroy her like they did to Bernie and Sager. 1158 01:01:17,360 --> 01:01:19,640 Speaker 1: This is really quite a marquee race. Heer, and I 1159 01:01:19,680 --> 01:01:23,440 Speaker 1: think given one more thing, I promise. Just wanted to 1160 01:01:23,440 --> 01:01:26,120 Speaker 1: make sure you knew about my podcast with Kyle Kolinski. 1161 01:01:26,200 --> 01:01:28,600 Speaker 1: It's called Crystal Kyle and Friends, where we do long 1162 01:01:28,640 --> 01:01:31,760 Speaker 1: form interviews with people like Nom Chomsky, Cornell West, and 1163 01:01:31,800 --> 01:01:35,600 Speaker 1: Glenn Greenwald. You can listen on any podcast platform, or 1164 01:01:35,640 --> 01:01:38,120 Speaker 1: you can subscribe over on substack to get the video 1165 01:01:38,120 --> 01:01:40,240 Speaker 1: a day early. We're going to stop bugging you now 1166 01:01:40,480 --> 01:01:43,800 Speaker 1: enjoy all right, Sager? What are you looking at? Well? 1167 01:01:43,960 --> 01:01:48,080 Speaker 1: I know, everybody, I'm sorry. Another coronavirus monologue by Sager, 1168 01:01:48,520 --> 01:01:50,600 Speaker 1: but I feel the issue is too important to let go. 1169 01:01:50,720 --> 01:01:53,680 Speaker 1: And as we move forward in our collective government media hysteria, 1170 01:01:53,760 --> 01:01:57,200 Speaker 1: the worst pathologies of our civil discourse are being revealed 1171 01:01:57,280 --> 01:02:00,720 Speaker 1: for what they are. My emotions have been high, admittedly, 1172 01:02:00,760 --> 01:02:03,600 Speaker 1: as I literally live in the epicenter of the madness. 1173 01:02:03,880 --> 01:02:05,960 Speaker 1: But what I've tried to convey to you guys so 1174 01:02:06,040 --> 01:02:08,880 Speaker 1: many times is that while you may not live in 1175 01:02:08,920 --> 01:02:11,720 Speaker 1: a large urban area, is that the whims and the 1176 01:02:11,800 --> 01:02:15,000 Speaker 1: tastes and the opinions of the people who live in 1177 01:02:15,120 --> 01:02:19,360 Speaker 1: urban megacities are the ones you should worry about the most, 1178 01:02:19,600 --> 01:02:23,200 Speaker 1: because they govern the entire country. That's why when I 1179 01:02:23,240 --> 01:02:26,240 Speaker 1: saw a clip from CNN's Don Lemon finally just saying 1180 01:02:26,280 --> 01:02:28,960 Speaker 1: the quiet part out loud, I really started to worry 1181 01:02:29,080 --> 01:02:32,920 Speaker 1: because I secretly, secretly, I know this is the inclination 1182 01:02:33,120 --> 01:02:35,280 Speaker 1: of most elite liberals. I don't know. I'm sure a 1183 01:02:35,280 --> 01:02:36,560 Speaker 1: lot of people are not going to agree with this. 1184 01:02:36,760 --> 01:02:41,160 Speaker 1: But don't get the vaccine. You can't go to the supermarket, 1185 01:02:41,280 --> 01:02:42,920 Speaker 1: don't have a vaccine, you don't should it. Can't go 1186 01:02:42,960 --> 01:02:45,800 Speaker 1: to the ball game, don't have a vaccine. Can't go 1187 01:02:45,840 --> 01:02:49,280 Speaker 1: to work you don't have a vaccine. Can't come here, 1188 01:02:49,320 --> 01:02:52,280 Speaker 1: no shirt, no shoes, no service. That's why I think 1189 01:02:52,280 --> 01:02:54,880 Speaker 1: we should be right now, because we continue to waste 1190 01:02:54,920 --> 01:02:58,200 Speaker 1: our breath on people who are just not going to change. 1191 01:02:58,280 --> 01:03:01,120 Speaker 1: They're you know, the circular lodge. They just keep going 1192 01:03:01,160 --> 01:03:05,000 Speaker 1: back and saying, well, it's my freedom, it's whatever. I'm free. Well, 1193 01:03:05,040 --> 01:03:09,520 Speaker 1: your kids not free to give other kids ningitis in schools. 1194 01:03:10,160 --> 01:03:12,400 Speaker 1: Got to take a vaccine to do that. You gotta 1195 01:03:12,440 --> 01:03:14,640 Speaker 1: take vaccines get in order to get to be employed. 1196 01:03:15,320 --> 01:03:18,160 Speaker 1: So what is the big deal. And all these people 1197 01:03:18,160 --> 01:03:19,360 Speaker 1: are saying, I don't want to put this stuff in 1198 01:03:19,400 --> 01:03:23,080 Speaker 1: my body. They're out drinking on the weekend and putting 1199 01:03:23,080 --> 01:03:25,240 Speaker 1: other substances in their bodies. That's way worse for them 1200 01:03:25,240 --> 01:03:29,479 Speaker 1: than a vaccine. So come on, let's bear it. There's 1201 01:03:29,480 --> 01:03:31,800 Speaker 1: a lot to consider there. Maybe you agree with Don Lemon. 1202 01:03:31,880 --> 01:03:35,120 Speaker 1: The Israelian French governments essentially adopted that policy, and to 1203 01:03:35,200 --> 01:03:38,520 Speaker 1: be fair, it did increase vaccine uptake in those countries. 1204 01:03:38,840 --> 01:03:42,160 Speaker 1: But more what struck me is the callousness towards the unvaccinated, 1205 01:03:42,360 --> 01:03:45,200 Speaker 1: largely because it seems that a huge canard has taken 1206 01:03:45,200 --> 01:03:47,640 Speaker 1: hold of a lot of these people. They are assuming 1207 01:03:47,720 --> 01:03:49,640 Speaker 1: the only group of people in America who are not 1208 01:03:49,720 --> 01:03:53,760 Speaker 1: vaccinated are white Republican Trump supporters. And yet, as we 1209 01:03:53,840 --> 01:03:56,520 Speaker 1: have been saying till we're blue in the face, the 1210 01:03:56,560 --> 01:03:59,880 Speaker 1: real situation is a lot more complicated. Of the third 1211 01:04:00,000 --> 01:04:02,760 Speaker 1: eighty percent or more of US adult population who has 1212 01:04:02,800 --> 01:04:05,760 Speaker 1: not yet received a single dose of the COVID vaccine, 1213 01:04:05,800 --> 01:04:09,200 Speaker 1: there are basically two distinct groups. So let's take a look. 1214 01:04:09,440 --> 01:04:12,680 Speaker 1: One group says, no way, no matter what, no matter what, 1215 01:04:12,920 --> 01:04:16,880 Speaker 1: we're getting this shot. This group is disproportionately more likely 1216 01:04:16,960 --> 01:04:22,080 Speaker 1: to be white, rural, evangelical, Christian, politically conservative. But there's 1217 01:04:22,120 --> 01:04:24,640 Speaker 1: a second group. Those are what we call wait and 1218 01:04:24,680 --> 01:04:29,480 Speaker 1: see Americans. They tend to disproportionately be younger, black, Latino, 1219 01:04:29,800 --> 01:04:34,040 Speaker 1: and even politically identify as Democrats. So think back to 1220 01:04:34,040 --> 01:04:36,920 Speaker 1: what Don Lemon is saying, let's just mandate vaccines to 1221 01:04:36,960 --> 01:04:39,640 Speaker 1: live everyday life, because he is not smart. What he 1222 01:04:39,680 --> 01:04:42,800 Speaker 1: doesn't realize is that in the places where he actually lives, 1223 01:04:42,960 --> 01:04:46,080 Speaker 1: like New York City, those around him who are unvaccinated 1224 01:04:46,240 --> 01:04:49,840 Speaker 1: are most likely to be black, Hispanic, a Democrat, or 1225 01:04:49,840 --> 01:04:53,280 Speaker 1: a young person exactly the type he claims to speak 1226 01:04:53,320 --> 01:04:56,640 Speaker 1: on behalf of all of the time, exactly the constituency 1227 01:04:56,880 --> 01:04:59,920 Speaker 1: he supposedly cares about. So let's stick into that population, 1228 01:05:00,320 --> 01:05:03,000 Speaker 1: those people on the fence. The idea behind Don Lemon's 1229 01:05:03,000 --> 01:05:05,080 Speaker 1: little speech is that this is the only thing that 1230 01:05:05,120 --> 01:05:08,200 Speaker 1: will work. Right. Yeah, it's actually completely wrong. Go to 1231 01:05:08,240 --> 01:05:11,760 Speaker 1: the Kaiser Family Foundation's most recent survey of unvaccinated Americans 1232 01:05:11,800 --> 01:05:15,360 Speaker 1: and their attitudes. Of all unvaccinated Americans, including the second 1233 01:05:15,360 --> 01:05:17,240 Speaker 1: group of Americans who say they're open to the shot, 1234 01:05:17,480 --> 01:05:20,479 Speaker 1: thirty one percent say they will do so if full 1235 01:05:20,560 --> 01:05:24,280 Speaker 1: FDA approval comes. Twenty three percent say a vaccine lottery 1236 01:05:24,280 --> 01:05:27,000 Speaker 1: of a million dollars would work, seventeen percent say a 1237 01:05:27,040 --> 01:05:30,840 Speaker 1: mobile vaccine clinic would change their mind. Thirteen percent say 1238 01:05:31,040 --> 01:05:33,840 Speaker 1: free childcare to help them deal in case of side 1239 01:05:33,880 --> 01:05:37,360 Speaker 1: effects would help them, in other words, making it easier, 1240 01:05:38,080 --> 01:05:40,600 Speaker 1: giving people an incentive to get the shot. Now, let's 1241 01:05:40,600 --> 01:05:42,600 Speaker 1: look at the mandates. Let's see how they feel. The 1242 01:05:42,800 --> 01:05:46,320 Speaker 1: number one reason why people aren't vaccinated is obvious. They 1243 01:05:46,320 --> 01:05:48,960 Speaker 1: think it's too new for others, They're worried about the 1244 01:05:48,960 --> 01:05:51,400 Speaker 1: side effects. They simply just don't want to do it. 1245 01:05:51,640 --> 01:05:54,280 Speaker 1: My point is this, they don't trust the government, so 1246 01:05:54,440 --> 01:06:00,360 Speaker 1: any government vaccine mandate is almost certain to harden people's unwillingness. 1247 01:06:00,520 --> 01:06:03,560 Speaker 1: But okay, as many people said, don't let the government 1248 01:06:03,600 --> 01:06:06,440 Speaker 1: do it. Make it a workplace thing or a private enforcement. 1249 01:06:06,760 --> 01:06:09,920 Speaker 1: Once again, thanks to the Kaiser Family Foundation, we know 1250 01:06:10,120 --> 01:06:14,280 Speaker 1: what would happen if an employer required an unvaccinated American 1251 01:06:14,360 --> 01:06:17,600 Speaker 1: to take the vaccine. Forty two percent of people said 1252 01:06:17,640 --> 01:06:19,640 Speaker 1: they would suck it up and do it, so in 1253 01:06:19,680 --> 01:06:23,040 Speaker 1: the short term you would see an uptick. But more 1254 01:06:23,080 --> 01:06:26,320 Speaker 1: than half of the rest of the respondents said no, 1255 01:06:26,840 --> 01:06:30,440 Speaker 1: I would literally leave my job. So then consider the situation. 1256 01:06:30,800 --> 01:06:33,400 Speaker 1: We have a group of people who don't trust the government, 1257 01:06:33,520 --> 01:06:36,680 Speaker 1: who would leave their job if required to get a vaccine, 1258 01:06:36,760 --> 01:06:39,280 Speaker 1: and who then are barred from most public places of 1259 01:06:39,320 --> 01:06:42,240 Speaker 1: public gathering. But the enforcement would also be at the 1260 01:06:42,280 --> 01:06:45,120 Speaker 1: state level, because we live in America and you simply 1261 01:06:45,160 --> 01:06:47,120 Speaker 1: can't do this on the federal level. In this country, 1262 01:06:47,440 --> 01:06:51,520 Speaker 1: we would have a mass underclass of unvaccinated Americans, even 1263 01:06:51,560 --> 01:06:55,520 Speaker 1: more disconnected from society. We would have no connections to 1264 01:06:55,560 --> 01:06:58,240 Speaker 1: their life to encourage them to do anything. Can you 1265 01:06:58,280 --> 01:07:01,120 Speaker 1: think of a worse policy than what Lemon is advocating? 1266 01:07:01,480 --> 01:07:03,720 Speaker 1: All of this for a disease where if you're fully 1267 01:07:03,800 --> 01:07:06,240 Speaker 1: vaccinated you have a ninety nine point nine nine nine 1268 01:07:06,240 --> 01:07:08,960 Speaker 1: percent chance of not dying from COVID and a nine 1269 01:07:08,960 --> 01:07:12,560 Speaker 1: to nine point nine six percent chance of not being hospitalized. 1270 01:07:12,840 --> 01:07:16,640 Speaker 1: Sheer insanity. The reality, like with all things in America, 1271 01:07:16,760 --> 01:07:20,000 Speaker 1: is we're all in this together. Lots of people of 1272 01:07:20,120 --> 01:07:23,600 Speaker 1: lots of stripes and parties don't trust our institutions. It's 1273 01:07:23,640 --> 01:07:26,520 Speaker 1: probably the biggest problem we faced as a society. And 1274 01:07:26,600 --> 01:07:29,400 Speaker 1: instead of a callous disregard for that lack of trust 1275 01:07:29,720 --> 01:07:32,520 Speaker 1: or even trying to understand, which is what Lemon's entire 1276 01:07:32,600 --> 01:07:36,080 Speaker 1: job is, he's giving a sanctimonious speech on cable TV 1277 01:07:36,280 --> 01:07:39,160 Speaker 1: to advance the culture wars. If you ask me, that's 1278 01:07:39,160 --> 01:07:41,960 Speaker 1: the real cancer. It's what really should be banned. If 1279 01:07:42,000 --> 01:07:43,960 Speaker 1: we have a chance of actually making it out of 1280 01:07:43,960 --> 01:07:46,000 Speaker 1: this thing. Chris Well, I went deep into the data 1281 01:07:46,000 --> 01:07:50,240 Speaker 1: here and the unvaccinated data on joining us now, Congressman's 1282 01:07:50,360 --> 01:07:54,160 Speaker 1: David Cicillini and Congressman Ken Buck. There'll be two ranking 1283 01:07:54,200 --> 01:07:56,600 Speaker 1: members chairman and ranking member over there at the House 1284 01:07:56,640 --> 01:07:59,760 Speaker 1: Anti Trust Committee, two very important gentlemen who have been 1285 01:08:00,040 --> 01:08:02,520 Speaker 1: fascinated by on the show. So let's put this CNBC 1286 01:08:02,800 --> 01:08:05,880 Speaker 1: care sheet. This is what has caught really our attention, 1287 01:08:06,000 --> 01:08:09,120 Speaker 1: which is a bipartisan effort to rein in big tech, 1288 01:08:09,200 --> 01:08:12,120 Speaker 1: to look at anti trust in a new way. Congress 1289 01:08:12,120 --> 01:08:15,760 Speaker 1: Mims Sissilini, I'll start with you. This is a story 1290 01:08:15,840 --> 01:08:18,400 Speaker 1: which has frankly given a lot of people some hope 1291 01:08:18,400 --> 01:08:20,839 Speaker 1: that Congress might actually be able to get something done. 1292 01:08:21,040 --> 01:08:22,439 Speaker 1: Talk to us a little bit about how the two 1293 01:08:22,520 --> 01:08:26,200 Speaker 1: of you were able to come together and have at 1294 01:08:26,320 --> 01:08:29,920 Speaker 1: least work together and working to raid in big tech 1295 01:08:29,920 --> 01:08:33,880 Speaker 1: and to look at anti trust companies in a new way. Well, 1296 01:08:34,120 --> 01:08:36,439 Speaker 1: thanks for having us. It has been a great pleasure 1297 01:08:36,439 --> 01:08:38,760 Speaker 1: to work with Ken Buck, who's the ranking member of 1298 01:08:38,760 --> 01:08:42,439 Speaker 1: the subcommittee, and we began to look at the power 1299 01:08:42,479 --> 01:08:45,639 Speaker 1: of these large technology platforms, the real monopoly power they 1300 01:08:45,680 --> 01:08:49,479 Speaker 1: had in the last Congress, and we decided to embark 1301 01:08:49,520 --> 01:08:55,080 Speaker 1: on a comprehensive study, real investigation of the digital marketplace. 1302 01:08:55,600 --> 01:08:58,120 Speaker 1: We did it in a bipartisan way. We spent sixteen 1303 01:08:58,160 --> 01:09:02,639 Speaker 1: months studying this marketplace. We did had seven congressional hearings, 1304 01:09:02,680 --> 01:09:06,960 Speaker 1: collected a one point three million internal documents and communications, 1305 01:09:07,360 --> 01:09:11,599 Speaker 1: thirty eight submissions from sixty anti trust experts, interviews from 1306 01:09:11,600 --> 01:09:13,800 Speaker 1: about two undred and forty market participants, so it was 1307 01:09:13,840 --> 01:09:17,320 Speaker 1: a very thorough investigation. We generated a four hundred and 1308 01:09:17,320 --> 01:09:20,840 Speaker 1: fifty page report which we found that these companies were 1309 01:09:20,840 --> 01:09:23,400 Speaker 1: really monopolies, that we were using their monopoly power to 1310 01:09:23,439 --> 01:09:27,680 Speaker 1: crush competitors, to harm small businesses, to harm innovation, to 1311 01:09:27,760 --> 01:09:30,479 Speaker 1: hurt consumers and workers. And then we set forth to 1312 01:09:30,920 --> 01:09:33,920 Speaker 1: develop some recommendations on how to fix it. We didn't 1313 01:09:33,960 --> 01:09:36,559 Speaker 1: agree on everything, but I think we recognized that this 1314 01:09:37,080 --> 01:09:41,040 Speaker 1: was something that required congressional action. These monopolies tech companies 1315 01:09:41,040 --> 01:09:44,519 Speaker 1: have too much power, and only by working together would 1316 01:09:44,520 --> 01:09:46,439 Speaker 1: be successful. And I think, you know, Ken and I 1317 01:09:46,439 --> 01:09:48,639 Speaker 1: don't agree on a lot of things, but we did 1318 01:09:48,680 --> 01:09:51,760 Speaker 1: find this one area of antitrust where we knew we 1319 01:09:51,800 --> 01:09:54,080 Speaker 1: had to work together for the benefit of the American people, 1320 01:09:54,600 --> 01:09:57,200 Speaker 1: and I think we you know, this is one place 1321 01:09:57,240 --> 01:09:59,600 Speaker 1: in the Congress of the United States where Republicans and 1322 01:09:59,680 --> 01:10:03,200 Speaker 1: dem in a sustained way have worked together. We generated 1323 01:10:03,240 --> 01:10:05,680 Speaker 1: our first set of bills that all pass out that 1324 01:10:05,760 --> 01:10:09,080 Speaker 1: you share committee in a bipartisan way and expect them 1325 01:10:09,120 --> 01:10:11,040 Speaker 1: to be on the floor in the fall. Yeah, it's 1326 01:10:11,040 --> 01:10:14,800 Speaker 1: something we've been falling closely here in Congressman book. I 1327 01:10:14,800 --> 01:10:17,240 Speaker 1: wonder if you could explain in your own words, like 1328 01:10:17,320 --> 01:10:21,240 Speaker 1: what your biggest concerns with big tech are, because sometimes 1329 01:10:21,840 --> 01:10:24,880 Speaker 1: we hear Democrats and Republicans both complaining about big tech, 1330 01:10:24,960 --> 01:10:27,600 Speaker 1: but they seem to be complaining about different things. Oftentimes, 1331 01:10:27,640 --> 01:10:30,280 Speaker 1: you know, some progressive members are worried about power, worried 1332 01:10:30,280 --> 01:10:34,320 Speaker 1: about monopoly, and then you hear Republicans mostly concerned about 1333 01:10:34,400 --> 01:10:38,639 Speaker 1: just the censorship rules being applied more disproportionately to conservaive 1334 01:10:38,680 --> 01:10:40,320 Speaker 1: something I would dispute, but we'll just allow it for 1335 01:10:40,360 --> 01:10:43,639 Speaker 1: the moment, more disproportionately to conservatives. So do you feel 1336 01:10:43,680 --> 01:10:47,000 Speaker 1: like you and Congressman Sicilini and others on the committee 1337 01:10:47,080 --> 01:10:50,519 Speaker 1: essentially agree in what the problems are with big tech? 1338 01:10:52,560 --> 01:10:54,519 Speaker 1: I do, and them just back up a second. I 1339 01:10:54,520 --> 01:10:58,479 Speaker 1: think It's really important to recognize Chairman Sicily's leadership on 1340 01:10:58,560 --> 01:11:03,519 Speaker 1: this investigation. Entire time, he consulted and was open to 1341 01:11:03,600 --> 01:11:08,160 Speaker 1: suggestions on witnesses and other things. I think it's amazing, 1342 01:11:08,680 --> 01:11:11,840 Speaker 1: and this is what happens so often in Congress and 1343 01:11:12,200 --> 01:11:16,000 Speaker 1: is rarely reported, and I'm glad that we are able 1344 01:11:16,040 --> 01:11:20,880 Speaker 1: to explain this on the show. My primary concerns with 1345 01:11:21,000 --> 01:11:25,280 Speaker 1: big tech are the fact that they crush competition. I 1346 01:11:25,400 --> 01:11:28,759 Speaker 1: strongly believe that the only way for America to remain 1347 01:11:29,120 --> 01:11:32,240 Speaker 1: the strongest economy in the world is to make sure 1348 01:11:32,280 --> 01:11:35,040 Speaker 1: that we continue to innovate, and these four companies that 1349 01:11:35,080 --> 01:11:40,520 Speaker 1: we're focused on, Apple, Amazon, Facebook, and Google are crushing competition, 1350 01:11:40,720 --> 01:11:45,840 Speaker 1: not allowing startups to really grow and compete in the marketplace. 1351 01:11:46,160 --> 01:11:49,519 Speaker 1: And if that happens, we have to be concerned about China, 1352 01:11:49,640 --> 01:11:53,880 Speaker 1: about the European Union, about other competitors, and we can't 1353 01:11:54,439 --> 01:11:57,120 Speaker 1: we really can't afford it. As a country. We have 1354 01:11:57,240 --> 01:12:00,479 Speaker 1: to keep an eye on our national that we have 1355 01:12:00,520 --> 01:12:02,840 Speaker 1: to keep an eye on other issues, and the only 1356 01:12:02,880 --> 01:12:04,760 Speaker 1: way to do that is to grow our economy, and 1357 01:12:04,800 --> 01:12:08,120 Speaker 1: these companies are really crushing our ability to grow our economy. 1358 01:12:08,160 --> 01:12:11,839 Speaker 1: I also am concerned about censorship, but my primary concern 1359 01:12:12,439 --> 01:12:15,720 Speaker 1: is the concern about innovation. It's really interesting, you know, 1360 01:12:15,720 --> 01:12:17,960 Speaker 1: Congressman Cileniam. You know, one of the things is a 1361 01:12:17,960 --> 01:12:20,320 Speaker 1: lot of people saw the headline, they said, oh, anti 1362 01:12:20,320 --> 01:12:23,040 Speaker 1: trust bills. What do these bills actually do? Can you 1363 01:12:23,160 --> 01:12:26,799 Speaker 1: lay out for us what these bills are actually trying 1364 01:12:26,840 --> 01:12:30,240 Speaker 1: to target and the exact enforcement mechanisms within them that 1365 01:12:30,320 --> 01:12:33,719 Speaker 1: could correct some of the problems that you say there are. Sure. 1366 01:12:33,800 --> 01:12:40,320 Speaker 1: So the bills basically restore competition in the digital marketplace. So, 1367 01:12:40,360 --> 01:12:43,360 Speaker 1: for example, the first build, the American Innovation and Choice 1368 01:12:43,400 --> 01:12:48,040 Speaker 1: Online Act, prohibits discriminatory conduct by the dominant platform so 1369 01:12:48,080 --> 01:12:51,719 Speaker 1: that they can't self preference their own goods and services 1370 01:12:51,720 --> 01:12:54,680 Speaker 1: and really pick winners and losers. The second bill is 1371 01:12:54,720 --> 01:12:59,519 Speaker 1: the Platform Competition an Opportunity Act, which prevents or shifts 1372 01:12:59,520 --> 01:13:02,400 Speaker 1: the burden I should say, of proving that a merger 1373 01:13:02,479 --> 01:13:07,040 Speaker 1: should go forward to the acquiring party if it would 1374 01:13:07,040 --> 01:13:10,920 Speaker 1: in fact entrench the market power to the platform or 1375 01:13:11,360 --> 01:13:14,920 Speaker 1: reduce competition. The Ending Platforms Monopoly Act would eliminate the 1376 01:13:14,960 --> 01:13:18,760 Speaker 1: ability of a dominant platform to both be a marketplace 1377 01:13:18,840 --> 01:13:22,200 Speaker 1: and also sell goods and services on that marketplace which 1378 01:13:22,200 --> 01:13:25,000 Speaker 1: has an inherent conflict of interest which really can't be resolved. 1379 01:13:25,320 --> 01:13:30,160 Speaker 1: The Access Act will help promote competition by requiring data 1380 01:13:30,200 --> 01:13:33,080 Speaker 1: portability and intooperability. So if you don't like a platform 1381 01:13:33,120 --> 01:13:35,400 Speaker 1: because you don't think it has the right choices for 1382 01:13:35,479 --> 01:13:37,839 Speaker 1: you or protect your privacy, you can move to another 1383 01:13:37,880 --> 01:13:42,360 Speaker 1: platform easily without any friction. That's a good competitive solution. 1384 01:13:42,680 --> 01:13:45,080 Speaker 1: And finding the Merger Filing Sea Modernization Act as a 1385 01:13:45,080 --> 01:13:47,719 Speaker 1: bill that will make sure that our anti trust agencies 1386 01:13:47,760 --> 01:13:52,120 Speaker 1: have the resources they need to vigorously enforce antitrust. But 1387 01:13:52,200 --> 01:13:53,880 Speaker 1: buy and large. What the bills do really kind of 1388 01:13:54,080 --> 01:13:56,799 Speaker 1: in simple terms, is they make sure that you can't 1389 01:13:56,840 --> 01:14:01,360 Speaker 1: engage in anti competitive behavior to crush and acquire competitors. 1390 01:14:01,520 --> 01:14:04,360 Speaker 1: To promote competition, and Ken is absolutely right. You know, 1391 01:14:04,479 --> 01:14:08,360 Speaker 1: competition is the heart and soul of free enterprise of 1392 01:14:08,520 --> 01:14:12,519 Speaker 1: the American economic system. Without competition, you don't have innovation, 1393 01:14:12,960 --> 01:14:15,679 Speaker 1: you have a reduction in quality, you don't have consumer choice. 1394 01:14:15,880 --> 01:14:19,800 Speaker 1: So we need to restore competition. Congress has sort of 1395 01:14:19,840 --> 01:14:22,680 Speaker 1: fallen down on the job for decades now, particularly in 1396 01:14:22,760 --> 01:14:26,880 Speaker 1: the large digital marketplace. So Congressman Bocket seems to me 1397 01:14:26,920 --> 01:14:30,080 Speaker 1: a couple of those Amazon in particular be pretty unhappy 1398 01:14:30,080 --> 01:14:33,160 Speaker 1: about in particular, you know the one about you can't 1399 01:14:33,240 --> 01:14:36,720 Speaker 1: both run the marketplace and then sell goods in that marketplace. 1400 01:14:37,200 --> 01:14:39,439 Speaker 1: Of course, that's something that they do routinely. There are 1401 01:14:39,439 --> 01:14:41,880 Speaker 1: also allegations that they'll even pick and choose the data, 1402 01:14:41,960 --> 01:14:45,160 Speaker 1: see what products are succeeding really effectively on their platform, 1403 01:14:45,439 --> 01:14:48,840 Speaker 1: and then copy those same products, something that's been alleged 1404 01:14:48,880 --> 01:14:52,080 Speaker 1: in the European context. At least take us into sort 1405 01:14:52,120 --> 01:14:55,719 Speaker 1: of behind the scenes. How much pressure is Amazon putting 1406 01:14:55,720 --> 01:14:57,800 Speaker 1: on you all, on other members of your committee, how 1407 01:14:57,880 --> 01:14:59,960 Speaker 1: much money are they spending, and what is their argument 1408 01:15:00,040 --> 01:15:03,960 Speaker 1: that they're making a people? Well, all four of these 1409 01:15:04,000 --> 01:15:07,120 Speaker 1: companies are not very pleased with this. I think that 1410 01:15:07,680 --> 01:15:10,240 Speaker 1: David and I have created a full employment act for 1411 01:15:10,320 --> 01:15:13,599 Speaker 1: lobbyists in Washington, d C. And I have to tell 1412 01:15:13,640 --> 01:15:19,599 Speaker 1: you when it's rare that they bother stopping by my office, 1413 01:15:19,640 --> 01:15:23,040 Speaker 1: But when they do, I remind them that I took 1414 01:15:23,040 --> 01:15:25,040 Speaker 1: an oath to the Constitution. I didn't take an oath 1415 01:15:25,040 --> 01:15:28,639 Speaker 1: to Amazon or Apple or Facebook or Google. My oath 1416 01:15:28,720 --> 01:15:31,439 Speaker 1: is to make sure that we're doing everything we can 1417 01:15:31,560 --> 01:15:34,360 Speaker 1: to strengthen America, make this country as strong as possible, 1418 01:15:34,360 --> 01:15:37,240 Speaker 1: and so I've heard a lot of my friends that 1419 01:15:37,280 --> 01:15:40,439 Speaker 1: have been contacted by these companies. But I understand also 1420 01:15:40,520 --> 01:15:42,719 Speaker 1: there are companies on the other side. There are companies 1421 01:15:42,720 --> 01:15:45,439 Speaker 1: who want to compete with these giants and can't compete 1422 01:15:45,439 --> 01:15:48,320 Speaker 1: with them, and they are supporting these bills, and so 1423 01:15:48,720 --> 01:15:51,200 Speaker 1: there is a balance. It's not necessarily a fair balance, 1424 01:15:51,439 --> 01:15:54,160 Speaker 1: but there is a balance of interest in Washington, d C. 1425 01:15:54,320 --> 01:15:58,840 Speaker 1: When it comes to these bills. Yeah, unfortunately, you know, Amazon, Google, Facebook, 1426 01:15:58,840 --> 01:16:00,599 Speaker 1: Twitter are These are the guys who have all the money, 1427 01:16:00,640 --> 01:16:02,360 Speaker 1: So they're the ones who can throw the most cash 1428 01:16:02,360 --> 01:16:06,120 Speaker 1: around into people's campaigns, and we've seen how that works 1429 01:16:06,160 --> 01:16:08,920 Speaker 1: before Commers and buck. I'm also curious, though, do you 1430 01:16:08,960 --> 01:16:11,800 Speaker 1: think that some of these companies are natural monopolies and 1431 01:16:11,840 --> 01:16:14,040 Speaker 1: that they should be effectively regulated the way that we 1432 01:16:14,120 --> 01:16:17,160 Speaker 1: regulate public utilities. It seems to me, especially in the 1433 01:16:17,160 --> 01:16:19,519 Speaker 1: case of these social media companies. Of course, a lot 1434 01:16:19,520 --> 01:16:21,160 Speaker 1: of the benefit comes from the fact that it's not 1435 01:16:21,240 --> 01:16:23,759 Speaker 1: just you on there. It's all your friends, your neighbors, 1436 01:16:23,840 --> 01:16:25,559 Speaker 1: the people you went to high school with and grew 1437 01:16:25,640 --> 01:16:28,080 Speaker 1: up with in whatever town you're from. Is there an 1438 01:16:28,160 --> 01:16:31,600 Speaker 1: argument here that these are actually natural monopolies in the 1439 01:16:31,640 --> 01:16:34,920 Speaker 1: same way that public utilities are. Yeah, and I don't 1440 01:16:34,960 --> 01:16:37,280 Speaker 1: believe that they are. I think that another Facebook could 1441 01:16:37,280 --> 01:16:40,280 Speaker 1: be created very easily, and I think compete in that 1442 01:16:40,320 --> 01:16:44,760 Speaker 1: market space the same with Twitter, which isn't you know 1443 01:16:44,760 --> 01:16:47,160 Speaker 1: obviously Parlor is competing with Twitter, and I think Parlor 1444 01:16:47,200 --> 01:16:50,799 Speaker 1: will get up and running again. I think it's essential 1445 01:16:50,800 --> 01:16:54,320 Speaker 1: that we don't do that. So often with public utilities commissions, 1446 01:16:54,320 --> 01:16:58,160 Speaker 1: they are captured by the very industries they're supposed to 1447 01:16:58,200 --> 01:17:00,360 Speaker 1: be regulating. And I think what David and I trying 1448 01:17:00,400 --> 01:17:03,680 Speaker 1: to do is create competition in the marketplace so we 1449 01:17:03,720 --> 01:17:07,679 Speaker 1: don't have to create a federal utility commission. You start 1450 01:17:07,680 --> 01:17:10,120 Speaker 1: to get into speech issues and privacy issues that the 1451 01:17:10,160 --> 01:17:12,840 Speaker 1: federal government just shouldn't be involved in. It's much better 1452 01:17:12,880 --> 01:17:15,120 Speaker 1: to allow two companies to compete with each other, or 1453 01:17:15,160 --> 01:17:18,000 Speaker 1: three or four or five companies to compete with each other. 1454 01:17:18,320 --> 01:17:21,439 Speaker 1: When the cable industry was opened up, you got Fox 1455 01:17:21,520 --> 01:17:25,000 Speaker 1: News and MSNBC and CNN in a variety of opinions, 1456 01:17:25,200 --> 01:17:26,880 Speaker 1: and I think the same thing will happen when we 1457 01:17:26,960 --> 01:17:31,479 Speaker 1: have several facebooks competing against each other. Congress and Cecilinia 1458 01:17:31,479 --> 01:17:33,439 Speaker 1: and I have one question here, which is about talking 1459 01:17:33,479 --> 01:17:35,679 Speaker 1: about the bills coming to the floor in the fall. 1460 01:17:35,920 --> 01:17:38,960 Speaker 1: Do you have an action in terms of like how 1461 01:17:39,000 --> 01:17:40,880 Speaker 1: we'll see it move forward from there? Do you have 1462 01:17:40,920 --> 01:17:43,360 Speaker 1: partners in the Senate that you're working towards, What does 1463 01:17:43,400 --> 01:17:46,479 Speaker 1: the future of the legislation look like? Yeah, I mean, first, 1464 01:17:47,240 --> 01:17:50,320 Speaker 1: we absolutely have partners in the Senate. Are kind of 1465 01:17:50,400 --> 01:17:54,680 Speaker 1: parts that led by Senator Klobuchar, Center of Le and 1466 01:17:54,840 --> 01:17:58,240 Speaker 1: others have been working on versions of the house build 1467 01:17:58,240 --> 01:18:00,320 Speaker 1: and I think you'll see those coming forward versus soon. 1468 01:18:01,000 --> 01:18:03,280 Speaker 1: But we've had you know, we work very closely with 1469 01:18:03,320 --> 01:18:06,759 Speaker 1: our counterparts in the Senate. There's tremendous interest in reigning 1470 01:18:06,800 --> 01:18:09,519 Speaker 1: and been big tech in the Senate as well. Uh. 1471 01:18:09,560 --> 01:18:12,240 Speaker 1: And you know the question Chris l asked about the 1472 01:18:12,280 --> 01:18:15,120 Speaker 1: power of these companies to sort of spread money around. This, 1473 01:18:15,240 --> 01:18:17,080 Speaker 1: of course, is one of the challenges we face. You know, 1474 01:18:17,160 --> 01:18:21,599 Speaker 1: with tremendous economic power often comes tremendous political power, which 1475 01:18:21,680 --> 01:18:24,520 Speaker 1: is one of the reasons we don't like monopolies in America. 1476 01:18:24,640 --> 01:18:27,960 Speaker 1: And so we're battling the four you know, most gigantic 1477 01:18:28,000 --> 01:18:30,400 Speaker 1: companies in the history of the world, and they have 1478 01:18:30,600 --> 01:18:33,720 Speaker 1: billions and billions and billions of reasons to protect the 1479 01:18:33,800 --> 01:18:36,920 Speaker 1: status quo to becktech the ecosystem that allows them to 1480 01:18:36,920 --> 01:18:40,240 Speaker 1: engage in anti competitive behavior that favors their own goods 1481 01:18:40,240 --> 01:18:44,160 Speaker 1: and services and generates extraordinary profits. So they're going to 1482 01:18:44,240 --> 01:18:48,160 Speaker 1: fight hard against these reforms, against bringing competition back into 1483 01:18:48,200 --> 01:18:50,720 Speaker 1: the space. But as Ken said, we have hundreds of 1484 01:18:50,800 --> 01:18:54,040 Speaker 1: thousands of small businesses on our side that are suffering 1485 01:18:54,040 --> 01:18:58,240 Speaker 1: the consequences of their monopoly power consumers, workers, innovators. So 1486 01:18:58,920 --> 01:19:00,880 Speaker 1: we're going to prevail even though they're going to spend 1487 01:19:00,880 --> 01:19:02,559 Speaker 1: a lot of money and try to stop it, because 1488 01:19:02,600 --> 01:19:04,800 Speaker 1: it's the right thing to do. There's five parts in 1489 01:19:04,840 --> 01:19:07,880 Speaker 1: support to do it. We're working now through our caucuses, 1490 01:19:08,040 --> 01:19:10,560 Speaker 1: kind of member by member to make sure they understand 1491 01:19:10,600 --> 01:19:14,280 Speaker 1: the urgency of this, understand what we discovered in our 1492 01:19:14,280 --> 01:19:17,679 Speaker 1: investigation after sixteen months of study. You know, most memens 1493 01:19:17,720 --> 01:19:20,400 Speaker 1: of Congress weren't involved in the investigation or the crafty 1494 01:19:20,439 --> 01:19:22,040 Speaker 1: of these bills, so we want to make sure we 1495 01:19:22,080 --> 01:19:24,040 Speaker 1: get them caught up to speed. I think when members 1496 01:19:24,160 --> 01:19:27,120 Speaker 1: learn the harm that the monopoly part of these technology 1497 01:19:27,160 --> 01:19:30,400 Speaker 1: platforms are producing, everyone will get on board and we'll 1498 01:19:30,439 --> 01:19:32,080 Speaker 1: pass these bills out of the House and Center over 1499 01:19:32,160 --> 01:19:35,040 Speaker 1: to the Senate. Carson Cicilini. One more for you on 1500 01:19:35,120 --> 01:19:38,240 Speaker 1: a different issue. As you know, the eviction moratorium just 1501 01:19:38,840 --> 01:19:41,599 Speaker 1: expired that was keeping millions of Americans in their homes. 1502 01:19:41,600 --> 01:19:44,479 Speaker 1: There's something like fifteen million Americans that live in places 1503 01:19:44,479 --> 01:19:47,439 Speaker 1: that are behind on their rent houses. On a session 1504 01:19:47,479 --> 01:19:49,400 Speaker 1: right now, should you all come back and work on 1505 01:19:49,439 --> 01:19:52,519 Speaker 1: trying to pass another eviction moratorium, especially since that rental 1506 01:19:52,520 --> 01:19:56,240 Speaker 1: assistance that was appropriated, we know a tiny percentage of 1507 01:19:56,280 --> 01:20:01,320 Speaker 1: that has gone out to actually help tenants and help landlords. Yeah. Absolutely, Yeah, 1508 01:20:01,720 --> 01:20:04,440 Speaker 1: many of us have asked that we come back immediately 1509 01:20:04,840 --> 01:20:07,200 Speaker 1: to have a vote to extend the more trim The 1510 01:20:07,280 --> 01:20:09,960 Speaker 1: reality is there's about forty five billion dollars that we've 1511 01:20:10,320 --> 01:20:13,679 Speaker 1: already appropriated. I think less than four billion has been used. 1512 01:20:13,680 --> 01:20:16,680 Speaker 1: So also states need to get the money out. It's 1513 01:20:16,720 --> 01:20:20,040 Speaker 1: available to both tenants and landlords. So you know, the 1514 01:20:20,040 --> 01:20:22,960 Speaker 1: frustrating part is we appropriated the money, but it hasn't 1515 01:20:22,960 --> 01:20:26,360 Speaker 1: gotten out. And as this pandemic is now seeing a 1516 01:20:26,400 --> 01:20:29,920 Speaker 1: significant increase because of the delta variant, the last thing 1517 01:20:29,960 --> 01:20:32,479 Speaker 1: we should do is have people being removed or evicted 1518 01:20:32,479 --> 01:20:35,200 Speaker 1: from their homes. So we have the devsolution. The CDC 1519 01:20:35,800 --> 01:20:38,840 Speaker 1: ought to immediately extend the more term. There is no 1520 01:20:38,920 --> 01:20:41,360 Speaker 1: court decision that says they can't do that, and so 1521 01:20:41,520 --> 01:20:43,640 Speaker 1: if we have to litigate that, we can litigate it. 1522 01:20:43,680 --> 01:20:45,679 Speaker 1: But in the intire at least people will be safe 1523 01:20:45,840 --> 01:20:47,840 Speaker 1: and then Congress will have an opportunity to extend it. 1524 01:20:48,240 --> 01:20:50,200 Speaker 1: Why did this come down? Why does this come down 1525 01:20:50,240 --> 01:20:51,800 Speaker 1: in the last minute, I mean the Biden administration and 1526 01:20:51,920 --> 01:20:55,840 Speaker 1: say anything until two days before it was set to expire. Yeah, 1527 01:20:55,880 --> 01:20:58,760 Speaker 1: I mean, it's unclear to me why it was this late. 1528 01:20:59,000 --> 01:21:01,559 Speaker 1: I think there was some exp dic that the CDC 1529 01:21:01,800 --> 01:21:03,559 Speaker 1: was going to do it. I'm not sure why they 1530 01:21:03,600 --> 01:21:06,360 Speaker 1: decided not to, but they have the authority tough. In 1531 01:21:06,400 --> 01:21:08,880 Speaker 1: my view, they should just extend it, and Congress should 1532 01:21:08,880 --> 01:21:10,640 Speaker 1: be prepared to take a vote immediately to make sure 1533 01:21:10,680 --> 01:21:13,000 Speaker 1: we extend it at least to the end of the year. Gentlemen, 1534 01:21:13,040 --> 01:21:14,680 Speaker 1: we really appreciate both of your time. We know it's 1535 01:21:14,680 --> 01:21:17,240 Speaker 1: hard to get, you know, not just not just one congressman, 1536 01:21:17,280 --> 01:21:19,519 Speaker 1: but two at the same time, and actually agreeing on 1537 01:21:19,560 --> 01:21:21,960 Speaker 1: something very rare for us to see. We appreciate it 1538 01:21:22,080 --> 01:21:24,519 Speaker 1: very much. Thank you. Thanks guys, have a good one us. 1539 01:21:25,200 --> 01:21:29,479 Speaker 1: Thank you, thanks everybody for watching. I hope you guys 1540 01:21:29,560 --> 01:21:32,080 Speaker 1: really enjoyed that interview. We have some another Congressman on 1541 01:21:32,080 --> 01:21:34,200 Speaker 1: the show. It's the week of Congressman here on Breaking 1542 01:21:34,240 --> 01:21:37,320 Speaker 1: Points tomorrow Congressman Rocnna. You guys can become a premium 1543 01:21:37,320 --> 01:21:40,599 Speaker 1: subscriber today. Link down there in the description. We cannot 1544 01:21:40,640 --> 01:21:43,320 Speaker 1: appreciate your guys to support so much. You know all 1545 01:21:43,360 --> 01:21:46,000 Speaker 1: of the improvements that we were making here mentioned it 1546 01:21:46,120 --> 01:21:47,960 Speaker 1: yesterday a little bit on Twitter. We got a brand 1547 01:21:47,960 --> 01:21:50,439 Speaker 1: new computer. It's going to help our processing time so 1548 01:21:50,439 --> 01:21:52,360 Speaker 1: that way we can deliver even more content to you. 1549 01:21:52,720 --> 01:21:55,400 Speaker 1: All made possible the new bricks, everything by all of 1550 01:21:55,439 --> 01:21:57,439 Speaker 1: your support. Thank you guys so much. Link is down 1551 01:21:57,439 --> 01:21:59,599 Speaker 1: there in description. You get the show an hour early. 1552 01:21:59,800 --> 01:22:02,519 Speaker 1: All of that our undying diet gratitude, and we couldn't 1553 01:22:02,640 --> 01:22:05,800 Speaker 1: thank you anymore. We really couldn't. The gratitude is so 1554 01:22:05,920 --> 01:22:08,599 Speaker 1: much and we will see you all tomorrow. Love you guys, 1555 01:22:08,640 --> 01:22:25,400 Speaker 1: have a good one, see y'all back here tomorrow. 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