1 00:00:00,240 --> 00:00:02,320 Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal 2 00:00:02,360 --> 00:00:04,240 Speaker 1: and Sager. We're going to be totally upfront with you. 3 00:00:04,360 --> 00:00:07,200 Speaker 1: We took a big risk going independent to make this work. 4 00:00:07,320 --> 00:00:11,880 Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC. 5 00:00:12,200 --> 00:00:15,760 Speaker 1: They are ripping this country apart. They are making millions 6 00:00:15,800 --> 00:00:18,360 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 00:00:20,720 --> 00:00:24,000 Speaker 1: corrupt ruling class more support the show. 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As you guys know, 18 00:00:49,640 --> 00:00:52,479 Speaker 1: we've started this new partnership with the Daily Poster in 19 00:00:52,680 --> 00:00:55,360 Speaker 1: order to elevate some of their original journalism. You all 20 00:00:55,440 --> 00:00:57,960 Speaker 1: know they do incredible work over there. Following the money, 21 00:00:57,960 --> 00:01:01,040 Speaker 1: telling the real story of how to decisions get made 22 00:01:01,080 --> 00:01:04,000 Speaker 1: in Washington. Now, normally we talked to David Serota, but 23 00:01:04,200 --> 00:01:06,959 Speaker 1: the Daily Poster is way more than just David Serota. 24 00:01:07,000 --> 00:01:08,880 Speaker 1: We have one of their great reporters on this morning, 25 00:01:09,000 --> 00:01:10,720 Speaker 1: Julia Rock has got a couple of news stories we 26 00:01:10,760 --> 00:01:12,240 Speaker 1: want to get too. Great to see Julia. Good to 27 00:01:12,240 --> 00:01:15,720 Speaker 1: see Julia, Thanks for having me. So you have a 28 00:01:15,760 --> 00:01:20,600 Speaker 1: piece doun about former Chicago mayor Rom Emmanuel, everybody's favorite, 29 00:01:21,400 --> 00:01:23,480 Speaker 1: and you detail what you describe. We can throw this 30 00:01:23,520 --> 00:01:26,760 Speaker 1: tears sheet up on the screen as the corporate funded 31 00:01:27,000 --> 00:01:31,160 Speaker 1: rehabilitation of Rom Emmanuel, and effectively what you do here 32 00:01:31,520 --> 00:01:34,639 Speaker 1: is break down the money that he's taken from various 33 00:01:34,640 --> 00:01:38,600 Speaker 1: corporate interests, how that has potentially impacted some of the 34 00:01:38,800 --> 00:01:43,440 Speaker 1: commentary that he has offered in mainstream outlets. And also, 35 00:01:43,520 --> 00:01:45,520 Speaker 1: by the way, the fact that none of those mainstream 36 00:01:45,560 --> 00:01:49,960 Speaker 1: outlets ever disclosed that he had these very direct conflicts 37 00:01:49,960 --> 00:01:53,120 Speaker 1: of interest. Just break down for us what you found. Yeah, So, 38 00:01:53,320 --> 00:01:57,320 Speaker 1: after Emmanuel left the Mayor's office in Chicago in twenty nineteen, 39 00:01:57,640 --> 00:02:00,960 Speaker 1: he got a job with ABC News as an it 40 00:02:01,600 --> 00:02:05,680 Speaker 1: as well as a couple of smaller gigs, writing op 41 00:02:05,840 --> 00:02:09,560 Speaker 1: eds for places like Politico, The Washington Post. He had 42 00:02:09,560 --> 00:02:13,320 Speaker 1: a really short stint at The Atlantic as a contributing editor, 43 00:02:14,240 --> 00:02:17,080 Speaker 1: and during that time between twenty nineteen and when he 44 00:02:17,120 --> 00:02:21,560 Speaker 1: was nominated for the ambassadorship to Japan a couple of 45 00:02:21,560 --> 00:02:26,520 Speaker 1: months ago, a manual just kind of trashed key progressive 46 00:02:26,600 --> 00:02:29,840 Speaker 1: policies such as Medicare for All, a Green New Deal, 47 00:02:32,320 --> 00:02:36,600 Speaker 1: as of mainstream positions within the Democratic Party, such as 48 00:02:36,720 --> 00:02:39,280 Speaker 1: raising the minimum wage to fifteen dollars an hour, something 49 00:02:39,320 --> 00:02:43,519 Speaker 1: that Kamala Harris and President Joe Biden both support, making 50 00:02:43,560 --> 00:02:48,560 Speaker 1: college more affordable and accessible. And during that time when 51 00:02:48,600 --> 00:02:51,359 Speaker 1: he was writing those op eds and appearing on ABC 52 00:02:51,480 --> 00:02:55,760 Speaker 1: News to disparage progressives, he was also making quite a 53 00:02:55,760 --> 00:02:59,600 Speaker 1: bit of money working for an investment banking advisory firm 54 00:02:59,680 --> 00:03:04,079 Speaker 1: called Center View Partners. He made about like twelve and 55 00:03:04,080 --> 00:03:08,000 Speaker 1: a half million dollars during the two years between being 56 00:03:08,080 --> 00:03:12,560 Speaker 1: in office and being nominated for the ambassadorship. And we 57 00:03:12,639 --> 00:03:14,840 Speaker 1: looked through the deals that that firm was working on 58 00:03:14,919 --> 00:03:17,600 Speaker 1: during that time, and as it turns out, a lot 59 00:03:17,639 --> 00:03:21,000 Speaker 1: of those deals were with major pharmaceutical companies and fossil 60 00:03:21,040 --> 00:03:25,280 Speaker 1: fuel companies. So some companies would be familiar, such as Giliad, 61 00:03:25,400 --> 00:03:32,520 Speaker 1: which manufactured the government funded COVID treatment drug, as well 62 00:03:32,560 --> 00:03:37,720 Speaker 1: as Pacific asim Electric, the utility in California. So these 63 00:03:37,800 --> 00:03:41,720 Speaker 1: are companies that are involved in lobbying against the policies 64 00:03:41,800 --> 00:03:45,200 Speaker 1: that Emmanuel was trashing on TV and in the pages 65 00:03:45,280 --> 00:03:49,240 Speaker 1: of mainstream publications. And you know, like you said, it 66 00:03:49,280 --> 00:03:52,560 Speaker 1: was never disclosed that he was taking in money from 67 00:03:52,560 --> 00:03:54,480 Speaker 1: this firm and working on these deals while he was 68 00:03:54,520 --> 00:03:59,120 Speaker 1: writing those offense and going on those tiraids. It is wild. 69 00:03:59,160 --> 00:04:01,720 Speaker 1: I mean, twelve million, that's good work if you can 70 00:04:01,800 --> 00:04:04,680 Speaker 1: get it. And what I'm really looking at here was 71 00:04:04,800 --> 00:04:07,960 Speaker 1: that not what you're pointing to in the disclosure is 72 00:04:07,960 --> 00:04:10,920 Speaker 1: that during that exact time, whenever he was in the media, 73 00:04:11,120 --> 00:04:13,600 Speaker 1: this investment deals that they were working on were directly 74 00:04:13,640 --> 00:04:19,920 Speaker 1: impacted by policies he was discussing. Is that right? Can 75 00:04:19,960 --> 00:04:22,480 Speaker 1: you say more about that? Yeah, I mean the Gilliad 76 00:04:22,480 --> 00:04:25,880 Speaker 1: pharmaceutical deal that you guys point to, just explain that 77 00:04:25,960 --> 00:04:30,160 Speaker 1: a little bit got you. Yeah, So, so policies that 78 00:04:30,200 --> 00:04:33,160 Speaker 1: he is on TV talking about exactly are policies that 79 00:04:33,200 --> 00:04:36,560 Speaker 1: would directly, you know, affect these companies and the things 80 00:04:36,600 --> 00:04:40,240 Speaker 1: they're working on. So Medicare for all is a is 81 00:04:40,240 --> 00:04:42,560 Speaker 1: a good example. I think you know, not a lot 82 00:04:42,600 --> 00:04:44,800 Speaker 1: of people necessarily know this, but but some of the 83 00:04:44,839 --> 00:04:48,640 Speaker 1: biggest lobbying and lobbying money against Medicare for All has 84 00:04:48,680 --> 00:04:54,679 Speaker 1: been from the pharmaceutical companies. And you know, the same 85 00:04:54,720 --> 00:04:57,960 Speaker 1: goes for a Green New Deal, which is less of 86 00:04:58,000 --> 00:05:00,400 Speaker 1: a specific policy but kind of a collection of climate 87 00:05:00,440 --> 00:05:06,800 Speaker 1: policies and utilities again have been really important kind of 88 00:05:06,839 --> 00:05:12,600 Speaker 1: sources of money for lobbying efforts against climate action. So yeah, again, 89 00:05:12,640 --> 00:05:15,000 Speaker 1: these are these policies he's talking about would kind of 90 00:05:15,040 --> 00:05:19,120 Speaker 1: directly affect these companies. It's not some like tangential or 91 00:05:19,160 --> 00:05:22,400 Speaker 1: down the road impact. Julie, you also have a news 92 00:05:22,400 --> 00:05:25,360 Speaker 1: story out this morning about Look, we've focused here a 93 00:05:25,360 --> 00:05:27,839 Speaker 1: lot on the fact that Democrats since two thousand and 94 00:05:27,880 --> 00:05:30,479 Speaker 1: six have promised to work on this time. We're really 95 00:05:30,520 --> 00:05:32,279 Speaker 1: going to do it, guys. We're going to negotiate with 96 00:05:32,360 --> 00:05:36,240 Speaker 1: these prescription drug companies to get you lower prices. Something 97 00:05:36,240 --> 00:05:38,080 Speaker 1: that is such a no brain or something like eighty 98 00:05:38,080 --> 00:05:40,240 Speaker 1: to ninety percent of the American people supported, and yet 99 00:05:40,279 --> 00:05:42,479 Speaker 1: for all of these decades they failed to get it done. 100 00:05:42,720 --> 00:05:45,719 Speaker 1: But you point to there are other mechanisms that the 101 00:05:45,720 --> 00:05:50,200 Speaker 1: Biden administration could use to lower pharmaceutical drug prices. So 102 00:05:50,320 --> 00:05:53,880 Speaker 1: far they have not pursued those avenues, but just lay 103 00:05:53,880 --> 00:05:57,920 Speaker 1: out for us what tools are on the table for them. Yeah. 104 00:05:58,000 --> 00:06:02,200 Speaker 1: So one of the mean tools at the Biden administration's 105 00:06:02,240 --> 00:06:07,440 Speaker 1: disposal is called march in rights, which is something that 106 00:06:07,600 --> 00:06:10,320 Speaker 1: a couple of senators have really been pressuring the Biden 107 00:06:10,320 --> 00:06:13,920 Speaker 1: administration to take on as well as as we reported today, 108 00:06:14,000 --> 00:06:17,400 Speaker 1: you know, Biden's current Health and Human secretary, Health and 109 00:06:17,480 --> 00:06:22,000 Speaker 1: Human Services Secretary has long supported the federal government doing this, 110 00:06:22,600 --> 00:06:26,200 Speaker 1: and march in rights is basically a tool that the 111 00:06:26,200 --> 00:06:32,440 Speaker 1: federal government has if a government subsidized patent. So an 112 00:06:32,440 --> 00:06:35,200 Speaker 1: example of this would be the COVID vaccines. We know 113 00:06:35,320 --> 00:06:40,279 Speaker 1: that those vaccines were developed using patents that were funded 114 00:06:40,320 --> 00:06:45,279 Speaker 1: with government research. If you know, if there's a product 115 00:06:45,320 --> 00:06:48,640 Speaker 1: that was developed using a government subsidized patent and the 116 00:06:48,720 --> 00:06:53,200 Speaker 1: company that has that patent isn't kind of distributing the 117 00:06:53,800 --> 00:06:55,960 Speaker 1: product in a reasonable way or pricing it in a 118 00:06:56,000 --> 00:06:59,200 Speaker 1: reasonable way, the government can essentially say you're not using 119 00:06:59,200 --> 00:07:02,200 Speaker 1: this patent correctly, We're going to give another manufacture the 120 00:07:02,279 --> 00:07:05,400 Speaker 1: right to produce this product, and this is something that 121 00:07:06,160 --> 00:07:09,240 Speaker 1: can be used to lower drug prices. The Trump administration 122 00:07:09,440 --> 00:07:12,880 Speaker 1: was opposed to using it to lower drug prices and 123 00:07:13,000 --> 00:07:17,400 Speaker 1: issued kind of an eleventh hour rule to prevent the 124 00:07:17,440 --> 00:07:20,320 Speaker 1: federal government from doing that. But that rule, which is 125 00:07:20,480 --> 00:07:25,000 Speaker 1: now actually sitting in the Commerce Department under Secretary Genio Romando, 126 00:07:25,800 --> 00:07:29,840 Speaker 1: could be rescinded. So the Biden administration could essentially rescind 127 00:07:30,320 --> 00:07:34,600 Speaker 1: that Trump rule that prevents marchin rights from being used 128 00:07:34,600 --> 00:07:37,040 Speaker 1: to lower drug prices, as well as kind of deploy 129 00:07:37,120 --> 00:07:40,760 Speaker 1: marching rights to go in and start licensing these patents 130 00:07:40,800 --> 00:07:45,440 Speaker 1: to other manufacturers to lower prices. And what has AHHS 131 00:07:45,440 --> 00:07:51,080 Speaker 1: Secretary Bassara said on this in the past. So, yeah, 132 00:07:51,120 --> 00:07:53,640 Speaker 1: there are a couple of vacations where he's really pressured 133 00:07:53,640 --> 00:07:57,600 Speaker 1: the federal government to use these rights. During the Obama administration, 134 00:07:57,800 --> 00:08:01,680 Speaker 1: he was one of a group of Congress people to 135 00:08:01,840 --> 00:08:05,800 Speaker 1: pressure the Obama administration to use marching rights to lower 136 00:08:05,880 --> 00:08:09,280 Speaker 1: drug prices. And then again as recently as last year 137 00:08:09,320 --> 00:08:14,160 Speaker 1: when he was Attorney General of California, he petitioned Trump 138 00:08:14,400 --> 00:08:19,560 Speaker 1: HHS Secretary Alex Azar to use marching rights to make 139 00:08:19,680 --> 00:08:22,960 Speaker 1: the gillad treatment drug for COVID that I was talking 140 00:08:22,960 --> 00:08:28,320 Speaker 1: about earlier, more acceptable to a broader population. Wow, seems 141 00:08:28,360 --> 00:08:31,000 Speaker 1: like another candidate would be If this merk pill for 142 00:08:31,080 --> 00:08:34,400 Speaker 1: COVID ultimately pans out, they're wanting to charge like four 143 00:08:34,440 --> 00:08:36,800 Speaker 1: hundred percent of what it costs to make. This is 144 00:08:36,840 --> 00:08:41,760 Speaker 1: again another drug that was developed using government public funding, 145 00:08:41,880 --> 00:08:45,360 Speaker 1: so US taxpayer funded the development and then the company 146 00:08:45,400 --> 00:08:48,160 Speaker 1: turns around and charges four hundred percent of what it 147 00:08:48,160 --> 00:08:50,480 Speaker 1: costs to make in a gigantic price gouging scheme that 148 00:08:50,520 --> 00:08:52,880 Speaker 1: bide administration could do something about it, but so far 149 00:08:52,920 --> 00:08:55,600 Speaker 1: they had chosen not too. Julia, thank you so much 150 00:08:55,960 --> 00:08:58,920 Speaker 1: for breaking down these great reports that you have out 151 00:08:58,960 --> 00:09:01,880 Speaker 1: this morning. And listen, guys, we give the pitch every week, 152 00:09:01,960 --> 00:09:04,199 Speaker 1: but you and the whole team over there at the 153 00:09:04,280 --> 00:09:08,000 Speaker 1: Daily Poster are doing such great work actually focusing on 154 00:09:08,240 --> 00:09:12,200 Speaker 1: the stories that matter in DC, the money that flows 155 00:09:12,240 --> 00:09:15,120 Speaker 1: through this town and create some of the messes that 156 00:09:15,160 --> 00:09:17,559 Speaker 1: we ultimately see. So if you guys are able, make 157 00:09:17,600 --> 00:09:20,080 Speaker 1: sure you go over and subscribe to the Daily Poster 158 00:09:20,200 --> 00:09:22,240 Speaker 1: so that you can be informed about all of those 159 00:09:22,240 --> 00:09:24,480 Speaker 1: things straight away. Julia, thank you so much for your 160 00:09:24,480 --> 00:09:27,600 Speaker 1: time this morning. Thank you, Julia, Thank you. A lot 161 00:09:27,640 --> 00:09:30,560 Speaker 1: of people watch with great interest doctor Sanjay Gupta over 162 00:09:30,600 --> 00:09:33,559 Speaker 1: at CNN appearing on the Joe Rogan Podcast. Both Christal 163 00:09:33,559 --> 00:09:36,720 Speaker 1: and I listen to the entire thing. I recommend that 164 00:09:36,760 --> 00:09:39,040 Speaker 1: you all go do so as well. Joe actually presses 165 00:09:39,120 --> 00:09:42,240 Speaker 1: Sanjay Gupta hard on the case for vaccination. Sanjay Gupta 166 00:09:42,280 --> 00:09:44,440 Speaker 1: does a good job of laying out what I would 167 00:09:44,480 --> 00:09:47,440 Speaker 1: say the most reasonable pro vaccine case there is. Joe 168 00:09:47,480 --> 00:09:51,199 Speaker 1: does a good job of representing the other side. Regardless, 169 00:09:51,320 --> 00:09:53,480 Speaker 1: we need to see a lot more of that in 170 00:09:53,520 --> 00:09:56,840 Speaker 1: our media, people who are actually engaging with one another. 171 00:09:56,880 --> 00:10:00,600 Speaker 1: It was a very respectful conversation. There was one part though, 172 00:10:00,720 --> 00:10:02,280 Speaker 1: that we had to pull out. We were going to 173 00:10:02,320 --> 00:10:04,480 Speaker 1: wait until Friday in order to post this, but because 174 00:10:04,800 --> 00:10:07,040 Speaker 1: you know, there's so much interest, and I think we'll 175 00:10:07,040 --> 00:10:09,600 Speaker 1: go ahead and post it today on Thursday. For those 176 00:10:09,600 --> 00:10:13,240 Speaker 1: of you who are watching, Joe is grilling Sanjay Gupta 177 00:10:13,559 --> 00:10:17,959 Speaker 1: on remember CNN's decision in order to call ivermectin horse 178 00:10:18,080 --> 00:10:21,880 Speaker 1: d wormer, specifically in reference to Rogan after he got sick, 179 00:10:22,160 --> 00:10:25,400 Speaker 1: and Joe really grills him and gets Sanjay Gupta to 180 00:10:25,480 --> 00:10:28,360 Speaker 1: admit that CNN made a mistake and should not have 181 00:10:28,440 --> 00:10:31,160 Speaker 1: said what they said. One of the rarest things you're 182 00:10:31,240 --> 00:10:33,959 Speaker 1: ever going to see. Let's take a listen. By the way, 183 00:10:33,960 --> 00:10:37,199 Speaker 1: I'm glad you're you're better that. You're probably the only 184 00:10:37,200 --> 00:10:40,200 Speaker 1: one at CNN that's glad. No, no, no, no. The 185 00:10:40,200 --> 00:10:42,640 Speaker 1: rest of them are all lying about meeting horks medication 186 00:10:42,960 --> 00:10:44,880 Speaker 1: and we should talk about that. That bothered you. It 187 00:10:44,880 --> 00:10:47,520 Speaker 1: should bother you too. We're lying at your network about 188 00:10:47,520 --> 00:10:51,640 Speaker 1: people taking human drugs versus drugs at a horse to wormer. 189 00:10:51,840 --> 00:10:54,280 Speaker 1: Not a flattering thing. I guess that's a lie. It's 190 00:10:54,320 --> 00:10:57,200 Speaker 1: a lie on a news network, and it's a lie. 191 00:10:57,440 --> 00:11:01,520 Speaker 1: That's a willing that's that's a lie that they're conscious of. 192 00:11:01,840 --> 00:11:07,480 Speaker 1: It's not a mistake. They're unfavorably framing it as veterinary medicine. Well, 193 00:11:07,520 --> 00:11:10,040 Speaker 1: the FDA put this thing out. You saw that. Did 194 00:11:10,080 --> 00:11:11,880 Speaker 1: you see the thing that the FDA put out? What 195 00:11:12,000 --> 00:11:14,640 Speaker 1: did the FDA put out? It was a tweet and 196 00:11:14,679 --> 00:11:17,000 Speaker 1: it was snarky, I admit it. They said, you are 197 00:11:17,040 --> 00:11:18,840 Speaker 1: not a horse, you are not a cow. Stop taking 198 00:11:18,840 --> 00:11:20,600 Speaker 1: this stuff or something like that. Why would you say 199 00:11:20,640 --> 00:11:22,640 Speaker 1: that when you're talking about a drug that's been given 200 00:11:22,640 --> 00:11:25,560 Speaker 1: out to billions and billions of people, A drug that 201 00:11:25,640 --> 00:11:27,880 Speaker 1: was responsible for one of the inventors of it making 202 00:11:27,880 --> 00:11:31,640 Speaker 1: the Nobel Pride a Nobel Prize in twenty fifteen eighteen. Yeah. Yeah, 203 00:11:31,679 --> 00:11:34,840 Speaker 1: a drug that has been shown to stop viral replication 204 00:11:35,080 --> 00:11:38,480 Speaker 1: in vitro. You know that, right? Why would they lie 205 00:11:38,880 --> 00:11:42,280 Speaker 1: and say that's horsty wentwerre. I can afford people medicine. Motherfucker, 206 00:11:42,840 --> 00:11:45,920 Speaker 1: This is ridiculous. It's just a lot that anyone is thicking. 207 00:11:45,960 --> 00:11:47,880 Speaker 1: But don't you think that a lie like that is 208 00:11:48,000 --> 00:11:50,280 Speaker 1: dangerous on a news network when you know that they 209 00:11:50,320 --> 00:11:52,800 Speaker 1: know they're lying. You know that they know that I 210 00:11:52,880 --> 00:11:57,080 Speaker 1: took medicine. Like here it is, this is iro you 211 00:11:57,120 --> 00:12:00,559 Speaker 1: got right here. Somebody gave it to me, right, hang out? 212 00:12:00,559 --> 00:12:03,760 Speaker 1: I do. The thing is We're like going so fast, 213 00:12:03,840 --> 00:12:05,840 Speaker 1: like I feel like I'm missing I'm missing youth. I 214 00:12:05,840 --> 00:12:10,480 Speaker 1: want that. That's a problem that your news networks. Well, 215 00:12:10,600 --> 00:12:13,240 Speaker 1: I don't. I don't, dude. What did they say? They lied? 216 00:12:13,520 --> 00:12:15,920 Speaker 1: They say I was taking horse de warmer. First of all, 217 00:12:16,080 --> 00:12:22,360 Speaker 1: it was prescribed to me by a doctor along if 218 00:12:22,400 --> 00:12:25,080 Speaker 1: you got a human pill, because there were people that 219 00:12:25,120 --> 00:12:29,200 Speaker 1: were taking it the veterinary medication and you're not. Obviously 220 00:12:29,240 --> 00:12:31,040 Speaker 1: you got it from a doctor, so that it shouldn't 221 00:12:31,080 --> 00:12:33,640 Speaker 1: be called that. I remectin can be a very effective 222 00:12:33,679 --> 00:12:37,280 Speaker 1: medication for parasitic disease. And as you say, it's probably 223 00:12:37,320 --> 00:12:39,600 Speaker 1: you know, I think what a quarter billion people have 224 00:12:39,640 --> 00:12:42,480 Speaker 1: taken it around the world. I get that way more so, 225 00:12:42,679 --> 00:12:45,040 Speaker 1: way more pillions of people have taken it. Can I 226 00:12:45,120 --> 00:12:46,400 Speaker 1: just come back to the one I want to talk 227 00:12:46,400 --> 00:12:50,600 Speaker 1: about it you have before we get to that. Does 228 00:12:50,640 --> 00:12:53,440 Speaker 1: it bother you that the news network you work for, 229 00:12:53,960 --> 00:12:58,199 Speaker 1: out and out Lied was outright lied about me taking 230 00:12:58,440 --> 00:13:01,080 Speaker 1: horse de Warmer. They they shouldn't have said that. Why 231 00:13:01,080 --> 00:13:03,240 Speaker 1: did they do that? I don't know. You didn't ask. 232 00:13:03,360 --> 00:13:05,720 Speaker 1: I didn't think that you're the guy over there. I 233 00:13:05,720 --> 00:13:10,800 Speaker 1: didn't ask. I should have asked before No show I watched, 234 00:13:11,600 --> 00:13:14,640 Speaker 1: I watched, I watched, watch No. I don't think there's yes. 235 00:13:15,080 --> 00:13:22,640 Speaker 1: I don't No one takes taking livestock drug despite warnings. Yeah, 236 00:13:22,840 --> 00:13:24,480 Speaker 1: Jamie had to pull this up. I want to play it. 237 00:13:25,040 --> 00:13:27,960 Speaker 1: She does network. I'm going to watch. I'm going to watch. 238 00:13:30,280 --> 00:13:34,000 Speaker 1: He then goes on to play Aaron, describing it as 239 00:13:34,120 --> 00:13:37,920 Speaker 1: I think she's his veterinary medication. He also references Brian Stelter, 240 00:13:38,040 --> 00:13:40,880 Speaker 1: who had said, when you have a horsty warming medication 241 00:13:41,000 --> 00:13:43,600 Speaker 1: that's discouraged by the government, actually causes some people in 242 00:13:43,640 --> 00:13:45,920 Speaker 1: this crazed environment we're into actually want to try it. 243 00:13:46,360 --> 00:13:49,080 Speaker 1: That's the upside down world we're in with figures like 244 00:13:49,200 --> 00:13:54,439 Speaker 1: Joe Rogan so lost someone to watch that was You're 245 00:13:54,520 --> 00:13:56,320 Speaker 1: never going to see that. You're just never going to 246 00:13:56,360 --> 00:13:58,840 Speaker 1: see well. And again, I want to give both of 247 00:13:58,880 --> 00:14:02,320 Speaker 1: these men credit correct for engaging. And you should really 248 00:14:02,320 --> 00:14:04,559 Speaker 1: listen to the whole conversation because it is actually fascinating. 249 00:14:04,600 --> 00:14:08,199 Speaker 1: They go through the different studies on ivermactin, they talk 250 00:14:08,280 --> 00:14:12,040 Speaker 1: about myocarditis and the incidents among young boy I mean, 251 00:14:12,040 --> 00:14:14,720 Speaker 1: they really go through it all, and it is extraordinarily 252 00:14:15,280 --> 00:14:18,560 Speaker 1: important and I think good to listen to. And so 253 00:14:18,800 --> 00:14:22,000 Speaker 1: little of that dialogue has happened in American discourse. But 254 00:14:22,120 --> 00:14:26,240 Speaker 1: to this moment right here, you see Joe's like fighter instinct. 255 00:14:26,960 --> 00:14:30,000 Speaker 1: Gupta is on the ropes and he is not He's 256 00:14:30,160 --> 00:14:34,040 Speaker 1: not gonna let him out. Yea, he had changed that. Well, 257 00:14:34,040 --> 00:14:35,840 Speaker 1: this is coming so festive. Let a you're talking. He's 258 00:14:35,840 --> 00:14:38,280 Speaker 1: like no, no, no, no no, no, no no. Why did 259 00:14:38,320 --> 00:14:40,560 Speaker 1: they say it's why did they lie and say it's 260 00:14:40,560 --> 00:14:44,040 Speaker 1: Horsey Warmer? And he makes this really important point and 261 00:14:44,160 --> 00:14:46,080 Speaker 1: at another point, because this went on for quite a 262 00:14:46,080 --> 00:14:48,680 Speaker 1: while or the like ten minutes, and recurring came up 263 00:14:48,680 --> 00:14:52,240 Speaker 1: a couple times throughout the podcast, because not because Joe 264 00:14:52,360 --> 00:14:54,640 Speaker 1: like cares about his own like ego or whatever, but 265 00:14:54,680 --> 00:14:59,360 Speaker 1: because it's really important that people feel like a news 266 00:14:59,400 --> 00:15:02,440 Speaker 1: network being straight with them. And so he draws the 267 00:15:02,440 --> 00:15:05,040 Speaker 1: connection of Okay, well, if they're gonna lie about this 268 00:15:05,160 --> 00:15:09,680 Speaker 1: thing which is easily checkable and like obviously untrue, what 269 00:15:09,800 --> 00:15:12,000 Speaker 1: else are they lying about? Are they lying about Syria? 270 00:15:12,000 --> 00:15:15,800 Speaker 1: Are they lying about Afghanistan? Are they lying about Russia? 271 00:15:15,920 --> 00:15:19,000 Speaker 1: Like what other Hunter Biden, whatever it is? How do 272 00:15:19,040 --> 00:15:21,680 Speaker 1: we trust these other things that you're asserting with similar 273 00:15:21,760 --> 00:15:26,120 Speaker 1: levels of confidence when something so easily checked you're just 274 00:15:26,360 --> 00:15:29,440 Speaker 1: outright wrong about. Yeah, and Sonjai didn't have an answer. Like, 275 00:15:29,480 --> 00:15:31,760 Speaker 1: I've actually met Sanjay Gupti is a really nice guy. 276 00:15:32,440 --> 00:15:34,280 Speaker 1: I can say that, and I do actually think he's 277 00:15:34,320 --> 00:15:36,840 Speaker 1: a genuinely honest actor. Remember he's the one who asked 278 00:15:36,880 --> 00:15:39,680 Speaker 1: doctor Fauci about natural immunity. Yeah, he's the one who 279 00:15:39,720 --> 00:15:42,240 Speaker 1: did the documentary on the origins of COVID, and he 280 00:15:42,360 --> 00:15:45,480 Speaker 1: got doctor Robert Redfield, the CDC director, to tell him 281 00:15:45,480 --> 00:15:48,400 Speaker 1: about the Wuhan Institute of Virology, and he's the one 282 00:15:48,400 --> 00:15:50,840 Speaker 1: who is very open to the idea of a lab. 283 00:15:50,920 --> 00:15:53,640 Speaker 1: Leak talked about gain of function research. Some of the 284 00:15:53,680 --> 00:15:56,040 Speaker 1: primary source materials that I have used to talk about 285 00:15:56,080 --> 00:15:58,840 Speaker 1: lableik come from Sanjay Gupta, so that is on the 286 00:15:58,880 --> 00:16:02,320 Speaker 1: table being said. Sanja did not have a good answer. 287 00:16:02,480 --> 00:16:04,520 Speaker 1: And when Joe was like, do you understand how when 288 00:16:04,520 --> 00:16:06,520 Speaker 1: people see this, how do I know you're telling the 289 00:16:06,520 --> 00:16:09,960 Speaker 1: truth about Hunter Biden, Russia, putin or anything else? He said, 290 00:16:10,080 --> 00:16:12,640 Speaker 1: do you understand that? And look, I get it Sanjay Gupta. 291 00:16:12,640 --> 00:16:14,160 Speaker 1: I mean he's been on TV since like before I 292 00:16:14,200 --> 00:16:16,360 Speaker 1: was born, and I would really say, like, hey, it's 293 00:16:16,520 --> 00:16:19,400 Speaker 1: a he is not representative of everything that's wrong at CNN. 294 00:16:19,520 --> 00:16:21,760 Speaker 1: But he didn't really have a good answer. There is 295 00:16:21,800 --> 00:16:25,760 Speaker 1: no answer. And answer is yes, I understand that, and 296 00:16:25,840 --> 00:16:28,160 Speaker 1: I think it's upsetting obviously can't say that right, And 297 00:16:28,200 --> 00:16:30,680 Speaker 1: I you know, I was a little upset this morning 298 00:16:30,720 --> 00:16:33,280 Speaker 1: because I woke up. I thought the conversation was great 299 00:16:33,400 --> 00:16:35,160 Speaker 1: and group to put out this kind of op ed 300 00:16:35,240 --> 00:16:37,240 Speaker 1: where he talks about and he's like, well, you know, 301 00:16:37,320 --> 00:16:39,280 Speaker 1: some of my friends told me not to do this, 302 00:16:39,320 --> 00:16:41,160 Speaker 1: and it was very much like a signaling to the 303 00:16:41,160 --> 00:16:43,960 Speaker 1: elite circle of the world, like, oh, well, you know 304 00:16:44,080 --> 00:16:46,320 Speaker 1: I had to do this because you know, talking to 305 00:16:46,400 --> 00:16:48,320 Speaker 1: Joe Rogan like here's why I have to justify it. 306 00:16:48,360 --> 00:16:50,040 Speaker 1: He rolled this whole op ed. Dude, you don't have 307 00:16:50,080 --> 00:16:52,320 Speaker 1: to justify anything. You're on the number one podcast show 308 00:16:52,320 --> 00:16:54,360 Speaker 1: in the country. You have a book to sell. That's easy, 309 00:16:54,400 --> 00:16:57,520 Speaker 1: not justification. Number one. Number two is if we can't 310 00:16:57,560 --> 00:17:01,240 Speaker 1: even talk to somebody, what's the point The guy's a doctor. 311 00:17:01,480 --> 00:17:03,640 Speaker 1: If you want to talk about somebody who is going 312 00:17:03,680 --> 00:17:06,600 Speaker 1: to have the best case, like the best case for 313 00:17:06,760 --> 00:17:10,320 Speaker 1: the vaccine against somebody with some honest questions about it, 314 00:17:10,640 --> 00:17:13,199 Speaker 1: why do you have to write this whole sob like, 315 00:17:13,320 --> 00:17:16,000 Speaker 1: here's why I did it, Here's why it was important. Dude. 316 00:17:16,040 --> 00:17:18,200 Speaker 1: Of course it's important. You probably reach more people there 317 00:17:18,200 --> 00:17:20,520 Speaker 1: than you ever did on CNN. Yeah and yeah, I 318 00:17:20,840 --> 00:17:24,399 Speaker 1: found that part very annoying. I understand why he has 319 00:17:24,440 --> 00:17:26,399 Speaker 1: to do it. Says a lot about kind of the 320 00:17:26,680 --> 00:17:29,160 Speaker 1: place that we're at, where this whole idea of how 321 00:17:29,200 --> 00:17:32,880 Speaker 1: could you like platform Joe Rogan, he doesn't. He gets 322 00:17:32,920 --> 00:17:37,240 Speaker 1: way more viewers and listeners than CNN does. So you're 323 00:17:37,280 --> 00:17:41,560 Speaker 1: not platforming or legitimizing anyone. You have an opportunity to 324 00:17:41,600 --> 00:17:45,639 Speaker 1: speak to an audience address Joe's concerns. Say listen to 325 00:17:45,680 --> 00:17:48,200 Speaker 1: this study. I mean one of the studies that Joe 326 00:17:48,200 --> 00:17:51,280 Speaker 1: brought up about i've remect him. For example, Sanjay was 327 00:17:51,320 --> 00:17:54,119 Speaker 1: able to point out like, well, you know, at the 328 00:17:54,119 --> 00:17:55,920 Speaker 1: same time that these people were given i remact and 329 00:17:55,960 --> 00:17:58,440 Speaker 1: they were also given the steroid that's proven to be effective, 330 00:17:58,480 --> 00:18:00,560 Speaker 1: and I didn't know that either, you know exactly, So 331 00:18:00,640 --> 00:18:03,120 Speaker 1: I mean, that's a really useful piece of information. And 332 00:18:03,160 --> 00:18:05,320 Speaker 1: they went back and forth on these specific studies where 333 00:18:05,359 --> 00:18:08,000 Speaker 1: it's okay, but here's you know that was this was 334 00:18:08,000 --> 00:18:10,720 Speaker 1: the sample size, or here's why that may have been 335 00:18:10,840 --> 00:18:15,720 Speaker 1: linked to natural immunity decline in COVID in India versus ivermect. 336 00:18:15,760 --> 00:18:18,720 Speaker 1: And so they actually were able to go through with 337 00:18:18,840 --> 00:18:24,120 Speaker 1: factual information what each of these pieces meant and how 338 00:18:24,200 --> 00:18:28,520 Speaker 1: people should think about the relative risks of the disease 339 00:18:29,160 --> 00:18:33,120 Speaker 1: versus the vaccine. And it was an extraordinary three hour 340 00:18:33,160 --> 00:18:36,640 Speaker 1: conversation Sanjay. There are a couple of things that were 341 00:18:36,640 --> 00:18:39,919 Speaker 1: noteworthy to me. They did get into it. It was 342 00:18:40,000 --> 00:18:43,320 Speaker 1: not particularly contentious, but they did dig into the definition 343 00:18:43,440 --> 00:18:45,800 Speaker 1: of gain a function reach right at the very end actually, 344 00:18:45,800 --> 00:18:48,720 Speaker 1: for those who are looking for that, and those exchanges 345 00:18:48,800 --> 00:18:52,840 Speaker 1: that Ran Paul has had with Fauci, and I think 346 00:18:53,040 --> 00:18:56,400 Speaker 1: Goopta sort of rightly pointed out like, look, obviously, Paul, 347 00:18:56,640 --> 00:18:58,520 Speaker 1: he didn't say this quite so directly, but like, look, 348 00:18:58,560 --> 00:19:01,920 Speaker 1: obviously this guy's gotten a gen. But in the same respect, 349 00:19:02,440 --> 00:19:05,720 Speaker 1: they're parsing the language and they have their very specific 350 00:19:05,840 --> 00:19:08,800 Speaker 1: technical definition of gain of function that they think this 351 00:19:08,880 --> 00:19:13,320 Speaker 1: doesn't technically meet, but by lots of definitions of gain 352 00:19:13,359 --> 00:19:15,399 Speaker 1: and function obviously was so they get into that. He 353 00:19:15,440 --> 00:19:18,800 Speaker 1: talks about the cover up of China, not letting people 354 00:19:18,840 --> 00:19:21,080 Speaker 1: in to look at what's going on in the lab test, 355 00:19:21,119 --> 00:19:23,239 Speaker 1: the antibodies of the workers who got sick, and all 356 00:19:23,280 --> 00:19:25,919 Speaker 1: of those things. So that was interesting. There's also a 357 00:19:25,920 --> 00:19:29,120 Speaker 1: moment at the end where they start talking about Joe's 358 00:19:29,160 --> 00:19:33,840 Speaker 1: political ideology. That's true, and Gupta was really surprised, right, 359 00:19:33,880 --> 00:19:35,880 Speaker 1: he was, like, I thought you were a libertarian or something, 360 00:19:36,000 --> 00:19:39,840 Speaker 1: just like no, I mean, Joe actually describes himself as 361 00:19:39,960 --> 00:19:43,280 Speaker 1: one hundred percent left. I think some people would dispute that. 362 00:19:43,840 --> 00:19:46,280 Speaker 1: I think he's, you know, he's heterodox. He has a 363 00:19:46,320 --> 00:19:49,720 Speaker 1: mix of views, but he's like, I'm for universal health care. 364 00:19:49,800 --> 00:19:51,720 Speaker 1: He said he never voted for a Republican in his life. 365 00:19:51,960 --> 00:19:56,720 Speaker 1: I'm for expanding the social safety net and UBI and 366 00:19:56,720 --> 00:19:59,080 Speaker 1: talked about Andrew Yang. He also said though like had 367 00:19:59,119 --> 00:20:02,800 Speaker 1: his critiques of of the left too. But I thought 368 00:20:02,840 --> 00:20:05,960 Speaker 1: that was kind of revealing as well, because Gupta, even 369 00:20:06,000 --> 00:20:08,240 Speaker 1: though he had said he had listened to his podcast, 370 00:20:08,720 --> 00:20:13,320 Speaker 1: had clearly taken in and internalized just the sort of 371 00:20:13,400 --> 00:20:18,040 Speaker 1: caricaturist view of Joe and what his views on all 372 00:20:18,040 --> 00:20:20,359 Speaker 1: of this are. There are some parts that are extrameally 373 00:20:20,359 --> 00:20:22,399 Speaker 1: frustrating and listen to. There are some parts that are 374 00:20:22,400 --> 00:20:24,560 Speaker 1: pretty compative. There's some parts where they can really come 375 00:20:24,600 --> 00:20:27,840 Speaker 1: to agreement. But overall, it was definitely a worthwhile three hours. 376 00:20:27,960 --> 00:20:30,080 Speaker 1: You need ten times more of this in terms of 377 00:20:30,240 --> 00:20:33,000 Speaker 1: actual engagement. So I thought it was a great conversation. 378 00:20:33,080 --> 00:20:34,880 Speaker 1: I encourage you guys all to go listen to it. 379 00:20:35,040 --> 00:20:38,520 Speaker 1: This particular part, I'll admit I enjoyed it. It was 380 00:20:39,000 --> 00:20:41,960 Speaker 1: satisfying to watch, very satisfying to watch. All Right, all right, guys, 381 00:20:41,960 --> 00:20:44,399 Speaker 1: thanks for watching. One more for you later. Hey. So, 382 00:20:44,480 --> 00:20:47,879 Speaker 1: remember how we told you how awesome premium membership was, Well, 383 00:20:47,920 --> 00:20:50,080 Speaker 1: here we are again to remind you that becoming a 384 00:20:50,080 --> 00:20:52,760 Speaker 1: premium member means you don't have to listen to our 385 00:20:52,840 --> 00:20:55,639 Speaker 1: constant please for you to subscribe. So what are you 386 00:20:55,680 --> 00:20:58,240 Speaker 1: waiting for? Become a premium member today by going to 387 00:20:58,320 --> 00:21:01,280 Speaker 1: Breakingpoints dot com, which you can in the show notes. 388 00:21:02,240 --> 00:21:05,480 Speaker 1: So I've noticed an interesting phenomenon online. Everybody keeps saying 389 00:21:05,680 --> 00:21:08,399 Speaker 1: let's go Brandon, and I said, what the hell is 390 00:21:08,440 --> 00:21:11,320 Speaker 1: going on? And it has been traced back to a 391 00:21:11,359 --> 00:21:14,199 Speaker 1: clip which has recently come across my radar, which may 392 00:21:14,240 --> 00:21:16,320 Speaker 1: be one of the funniest things I've ever seen. An 393 00:21:16,440 --> 00:21:20,359 Speaker 1: NBC reporter trying to cover up the fact that a 394 00:21:20,400 --> 00:21:23,719 Speaker 1: crowd of people at a sporting event are shouting f 395 00:21:23,960 --> 00:21:28,400 Speaker 1: Joe Biden by saying, look at them shouting let's go Brandon. 396 00:21:28,760 --> 00:21:31,360 Speaker 1: I swear this is real. You can judge it for yourself. 397 00:21:31,640 --> 00:21:34,280 Speaker 1: Let's take a listen pick. Thank you to all of 398 00:21:34,320 --> 00:21:40,240 Speaker 1: our partners. Oh my god, it's just such an unbelievable moment, Brandon. 399 00:21:40,320 --> 00:21:43,240 Speaker 1: You also told me, as you can hear the chance 400 00:21:43,280 --> 00:21:48,800 Speaker 1: from the crowd, let's go Brandon. Brandon, you told me 401 00:21:48,880 --> 00:21:50,880 Speaker 1: you were going to kind of hang back those first 402 00:21:50,920 --> 00:21:53,960 Speaker 1: two stages and just watch and learn. What did you 403 00:21:54,040 --> 00:21:56,359 Speaker 1: learn that helped you there in those closing laps? Oh 404 00:21:56,440 --> 00:22:00,440 Speaker 1: my god, it was learning how each line you didn't 405 00:22:01,640 --> 00:22:05,160 Speaker 1: stay to one and everything shifted top to bottom so much. 406 00:22:07,640 --> 00:22:10,480 Speaker 1: All right, look, it's clear as day with the crowd 407 00:22:10,520 --> 00:22:13,040 Speaker 1: is shouting here. I mean, I don't know. Here's the 408 00:22:13,080 --> 00:22:15,040 Speaker 1: thing I do kind of feel for in that situation. 409 00:22:15,119 --> 00:22:16,600 Speaker 1: I don't really know what you do. I mean it 410 00:22:16,640 --> 00:22:18,600 Speaker 1: is I think it's like that's like network TV, so 411 00:22:18,640 --> 00:22:20,800 Speaker 1: they have standards, so they are like do they cut away? 412 00:22:20,840 --> 00:22:23,200 Speaker 1: And so she's like, let's go back. I don't know 413 00:22:23,400 --> 00:22:25,159 Speaker 1: where did they even come from? Like, how do you 414 00:22:25,160 --> 00:22:28,399 Speaker 1: even possibly try and spin that this dude's name was Brandon. 415 00:22:28,400 --> 00:22:29,960 Speaker 1: I believe his name is brand by Way. I know 416 00:22:30,000 --> 00:22:32,760 Speaker 1: nothing about NASCAR whatsoever, So you know, cars on the 417 00:22:32,760 --> 00:22:34,840 Speaker 1: table there. I have no idea even who this guy is. 418 00:22:34,960 --> 00:22:37,960 Speaker 1: I mean, I want to say it's possible that she 419 00:22:38,080 --> 00:22:40,679 Speaker 1: actually thought they were saying that, because well, if you 420 00:22:40,680 --> 00:22:42,640 Speaker 1: think about it, you're standing there, you got your ear 421 00:22:42,640 --> 00:22:45,560 Speaker 1: piece in. It's very loud it's very hard to hear. 422 00:22:45,680 --> 00:22:48,359 Speaker 1: You're trying to hear back like at you know, New 423 00:22:48,440 --> 00:22:50,639 Speaker 1: York or wherever they're based, and then you're talking to 424 00:22:50,680 --> 00:22:52,680 Speaker 1: the dude and you hear something in the background. I'm 425 00:22:52,680 --> 00:22:55,600 Speaker 1: gonna stand up for and say, maybe she actually thought that, 426 00:22:55,760 --> 00:22:58,520 Speaker 1: But that doesn't make it any less hilarious. No, it 427 00:22:59,680 --> 00:23:03,199 Speaker 1: is so funny, and so now it has become a 428 00:23:03,240 --> 00:23:06,640 Speaker 1: sensation on on media. I see it in our comment section. 429 00:23:06,680 --> 00:23:09,280 Speaker 1: I see it everybody's comment section. Let's Go Brandon. I 430 00:23:09,320 --> 00:23:11,240 Speaker 1: was like, what is going on? I was like, who 431 00:23:11,280 --> 00:23:15,320 Speaker 1: is Brandon? What's happening. Eventually this after I saw the video, 432 00:23:15,400 --> 00:23:18,640 Speaker 1: I was like, oh my god, I cannot believe it. 433 00:23:19,000 --> 00:23:21,880 Speaker 1: As you said, look, maybe she did actually believe it. 434 00:23:21,920 --> 00:23:24,480 Speaker 1: Maybe she was panicking. She was like, I just I 435 00:23:24,520 --> 00:23:28,000 Speaker 1: have to do something. You could say it's enough like Brandon, 436 00:23:28,600 --> 00:23:31,400 Speaker 1: But yes, Crystal, this is the origin of the Let's 437 00:23:31,440 --> 00:23:34,119 Speaker 1: Go Brandon meme, which I gotta say, in terms of 438 00:23:34,160 --> 00:23:35,920 Speaker 1: sticking power for memes, I think this one's gonna be 439 00:23:35,920 --> 00:23:38,920 Speaker 1: around the solid ones, this very solid, solid thing. Let 440 00:23:38,920 --> 00:23:40,760 Speaker 1: me attempt to make a serious point here, okay, which 441 00:23:40,840 --> 00:23:44,800 Speaker 1: is remember at the beginning of the Biden presidency. He 442 00:23:44,920 --> 00:23:49,080 Speaker 1: was hard to demonize, Like there wasn't energy around hating him. Yep, 443 00:23:50,119 --> 00:23:54,120 Speaker 1: at Sea Pack, the speeches weren't really about him, even 444 00:23:54,160 --> 00:23:56,879 Speaker 1: Trump right in February, that's right. Yeah, even Trump like 445 00:23:56,920 --> 00:23:59,439 Speaker 1: didn't talk about it. Not much Fox News, you know, 446 00:23:59,560 --> 00:24:02,840 Speaker 1: they and they still prefer to you know, the drag 447 00:24:02,920 --> 00:24:05,840 Speaker 1: up AOC and like she and Bernie are really running 448 00:24:05,880 --> 00:24:08,679 Speaker 1: the show or something like that. But oh yeah, but 449 00:24:09,520 --> 00:24:13,000 Speaker 1: there's definitely starting to be more organic, actual hatred towards 450 00:24:13,080 --> 00:24:16,479 Speaker 1: Joe Biden. Not just sort of like, oh he's doddering 451 00:24:16,560 --> 00:24:19,480 Speaker 1: old man and he's irrelevant, we're afraid of these other things, 452 00:24:19,520 --> 00:24:24,000 Speaker 1: but actual like hatred and venom directed at him, which 453 00:24:24,720 --> 00:24:30,000 Speaker 1: you know, look, it's predictable, and the partisan media machine 454 00:24:30,040 --> 00:24:32,879 Speaker 1: is very good at generating that those kinds of feelings. 455 00:24:33,160 --> 00:24:35,080 Speaker 1: But I also think is it's a bad sign for 456 00:24:35,160 --> 00:24:37,399 Speaker 1: him because we covered some of the poll numbers where 457 00:24:38,000 --> 00:24:40,680 Speaker 1: he used to be really firmly above water on things 458 00:24:40,760 --> 00:24:43,120 Speaker 1: like you know, do you trust him, do you like him? 459 00:24:43,240 --> 00:24:45,800 Speaker 1: Is he looking out for people like you? And now 460 00:24:45,840 --> 00:24:48,879 Speaker 1: he's underwater in those same character traits And that was 461 00:24:48,920 --> 00:24:50,719 Speaker 1: really the thing that he had going for him as 462 00:24:50,760 --> 00:24:55,920 Speaker 1: he was kind of like inoffensive, hard to demonize, kind 463 00:24:55,920 --> 00:24:58,159 Speaker 1: of likable. You kind of gave him the benefit of 464 00:24:58,160 --> 00:24:59,800 Speaker 1: the doubt, and I think that he's lost a lot 465 00:24:59,840 --> 00:25:02,800 Speaker 1: of Oh. I think that's right, and it's interesting, you know, 466 00:25:02,840 --> 00:25:04,879 Speaker 1: to that point, I asked a producer, James Is, like, 467 00:25:04,880 --> 00:25:07,119 Speaker 1: where does this come from? And apparently it's an organic 468 00:25:07,119 --> 00:25:09,760 Speaker 1: thing kind of at SEC games and more. It would 469 00:25:09,760 --> 00:25:13,560 Speaker 1: make sense my own hometown in the SEC. So I 470 00:25:13,600 --> 00:25:18,840 Speaker 1: completely understand what's going on there. But you are entering that. 471 00:25:19,160 --> 00:25:21,520 Speaker 1: Once you start to get that revulsion of a figure, 472 00:25:21,960 --> 00:25:25,280 Speaker 1: that's a problem because Biden is not Barack Obama. People 473 00:25:25,280 --> 00:25:28,440 Speaker 1: really loved Barack Obama, so he was both hated and 474 00:25:28,520 --> 00:25:32,399 Speaker 1: he was loved. People feel fine about Joe Biden, and 475 00:25:32,440 --> 00:25:34,760 Speaker 1: now people are beginning to hate Joe Biden. I'm not 476 00:25:34,800 --> 00:25:37,879 Speaker 1: saying it's in the same categories Obama and even Trump, 477 00:25:38,200 --> 00:25:39,919 Speaker 1: but and you point this out all the time, I 478 00:25:39,920 --> 00:25:42,320 Speaker 1: would much rather be those two gentlemen, because you have 479 00:25:42,400 --> 00:25:45,000 Speaker 1: people who would actually come out and vote for you, 480 00:25:45,520 --> 00:25:48,080 Speaker 1: crawl over broken glass. There's not a lot of Biden 481 00:25:48,200 --> 00:25:51,199 Speaker 1: people like that out there, but there's beginning to become 482 00:25:51,560 --> 00:25:55,240 Speaker 1: some sort of constituency which is against Biden himself, or 483 00:25:55,280 --> 00:25:58,280 Speaker 1: maybe just a national Democratic brand, and you put that together, 484 00:25:58,520 --> 00:26:00,640 Speaker 1: that's an electoral problem that they're Yeah, you don't want 485 00:26:00,640 --> 00:26:04,439 Speaker 1: to be in a situation where your detractors really super 486 00:26:04,480 --> 00:26:08,320 Speaker 1: hate you, guts right, and your supporters are sort of like, Eh, 487 00:26:08,440 --> 00:26:11,600 Speaker 1: he's okay, And I kind of think that's the territory 488 00:26:11,600 --> 00:26:14,199 Speaker 1: that Biden's get. I think that's right. So let's go Brandon. 489 00:26:14,280 --> 00:26:18,720 Speaker 1: Let's go Brandon. We'll have more for you guys later. Wow, 490 00:26:18,880 --> 00:26:20,880 Speaker 1: you guys must really like listening to our voices. Well, 491 00:26:20,920 --> 00:26:22,920 Speaker 1: I know this is annoying instead of making you listen 492 00:26:22,960 --> 00:26:25,480 Speaker 1: to a Viagra commercial. When you're done. Check out the 493 00:26:25,520 --> 00:26:28,240 Speaker 1: other podcast I do with Marshall Kasloff called The Realignment. 494 00:26:28,280 --> 00:26:30,320 Speaker 1: We talk a lot about the deeper issues that are 495 00:26:30,400 --> 00:26:33,800 Speaker 1: changing realigning in American society. You always need more Crystal 496 00:26:33,800 --> 00:26:36,560 Speaker 1: and Zag in your daily lives. Take care, guys. Some 497 00:26:37,119 --> 00:26:40,439 Speaker 1: very troubling and yet predictable developments in the Prince Andrew 498 00:26:40,520 --> 00:26:43,280 Speaker 1: Jeffrey Epstein connection. Let's put this up there on the screen, 499 00:26:43,640 --> 00:26:46,680 Speaker 1: which is that the UK police say that they will 500 00:26:46,720 --> 00:26:51,560 Speaker 1: not take any action on sexual assault suits against Prince Andrew. 501 00:26:51,760 --> 00:26:54,119 Speaker 1: Now this matters for a number of reasons, which is 502 00:26:54,240 --> 00:26:56,840 Speaker 1: one of the reasons that the accuser of Virginia Gouffrey, 503 00:26:57,200 --> 00:26:59,560 Speaker 1: she has accused Andrew of sexually abusing her when she 504 00:26:59,640 --> 00:27:02,560 Speaker 1: was a teen, she filed suit in the US Court 505 00:27:02,680 --> 00:27:05,800 Speaker 1: in the US District for the Southern District of New York. Now, 506 00:27:06,160 --> 00:27:08,679 Speaker 1: part of the thing is is in these suits is 507 00:27:08,720 --> 00:27:11,520 Speaker 1: you have to be served papers. And so this is 508 00:27:11,560 --> 00:27:14,800 Speaker 1: where the British police protecting Andrew have come into play, 509 00:27:15,080 --> 00:27:18,480 Speaker 1: because the Duke has maintained that he's never been served 510 00:27:18,680 --> 00:27:21,000 Speaker 1: and the reason he's never been served is because he's 511 00:27:21,040 --> 00:27:25,440 Speaker 1: being protected by the Metropolitan Police. And so Virginia Gufray's 512 00:27:25,520 --> 00:27:28,919 Speaker 1: legal team has tried repeatedly in order to get and 513 00:27:29,000 --> 00:27:32,200 Speaker 1: see Andrew, to serve him with papers. They were told 514 00:27:32,240 --> 00:27:34,879 Speaker 1: by the Metropolitan Police, you could consider him served by 515 00:27:34,880 --> 00:27:37,399 Speaker 1: giving us these papers or the people who guard him, 516 00:27:37,480 --> 00:27:40,720 Speaker 1: but his legal team says that doesn't count, and so 517 00:27:40,800 --> 00:27:44,439 Speaker 1: effectively what you have is a situation where Virginia Gufray, 518 00:27:44,480 --> 00:27:48,159 Speaker 1: the accuser of Prince Andrew, is unable to actually serve 519 00:27:48,320 --> 00:27:50,960 Speaker 1: Prince Andrew with papers, at least in a legal definition, 520 00:27:51,040 --> 00:27:54,160 Speaker 1: although that's being challenged in court because he's being protected 521 00:27:54,320 --> 00:27:56,720 Speaker 1: by the British Police. Now, the way that the British 522 00:27:56,800 --> 00:28:01,360 Speaker 1: Police had kind of been saying that they would would 523 00:28:01,440 --> 00:28:04,000 Speaker 1: that they could keep up their morale or you know, 524 00:28:04,080 --> 00:28:05,959 Speaker 1: keep up the image of them is they're like, well, 525 00:28:06,000 --> 00:28:09,119 Speaker 1: we're going to do an investigation. Well now they just 526 00:28:09,200 --> 00:28:11,120 Speaker 1: dropped the investigation. They said they're not going to take 527 00:28:11,160 --> 00:28:14,800 Speaker 1: any action on this whatsoever. They said they will quote 528 00:28:14,840 --> 00:28:19,280 Speaker 1: continue to liaise with other law enforcement agencies on matters 529 00:28:19,440 --> 00:28:23,000 Speaker 1: related to Epstein. But what did I just tell you, 530 00:28:23,240 --> 00:28:26,760 Speaker 1: which is that the Metropolitan Police is already protecting Prince 531 00:28:26,800 --> 00:28:30,280 Speaker 1: Andrew by making sure that he can't get served with papers. 532 00:28:30,320 --> 00:28:34,160 Speaker 1: And then they say that they're liaise with other agencies. Okay, well, 533 00:28:34,160 --> 00:28:37,919 Speaker 1: how about this. The FBI since twenty nineteen has been 534 00:28:37,960 --> 00:28:41,240 Speaker 1: trying to interview Prince Andrew. They've tried on multiple occasions, 535 00:28:41,400 --> 00:28:43,880 Speaker 1: and he refuses to cross the pond and come to 536 00:28:43,920 --> 00:28:47,040 Speaker 1: the United States and sit down for a deposition. And 537 00:28:47,320 --> 00:28:49,480 Speaker 1: whenever our agents have tried to go talk to him 538 00:28:49,480 --> 00:28:52,160 Speaker 1: in the UK, they say, no, it's not going to happen. 539 00:28:52,280 --> 00:28:54,719 Speaker 1: This was under Bill Barr and it's current US Department 540 00:28:54,760 --> 00:28:57,800 Speaker 1: of Justice policy. So what's going on? Why don't you 541 00:28:57,920 --> 00:29:01,720 Speaker 1: liaise with us. They're police commissioners, says quote, no one 542 00:29:01,880 --> 00:29:05,720 Speaker 1: is above the mall. But come on now, at this point, 543 00:29:05,960 --> 00:29:09,440 Speaker 1: he's a prince in a palace being protected by police, 544 00:29:09,800 --> 00:29:12,240 Speaker 1: and that's his excuse, Crystal, for why he can't get 545 00:29:12,280 --> 00:29:16,080 Speaker 1: served with papers. And then his own country's police department 546 00:29:16,360 --> 00:29:19,440 Speaker 1: is dropping the investigation into this guy. It doesn't get 547 00:29:19,440 --> 00:29:21,960 Speaker 1: any more corrupt than this. I'm gonna guess the US 548 00:29:22,000 --> 00:29:25,520 Speaker 1: isn't going to provide a whole lot of pressure too. 549 00:29:25,800 --> 00:29:28,280 Speaker 1: Oh what are we supposed to do? Yeah, he's the prince, 550 00:29:28,400 --> 00:29:30,880 Speaker 1: it's their government. They should be giving us him on 551 00:29:30,920 --> 00:29:33,880 Speaker 1: a platter if they really want to police. Yeah, I mean, 552 00:29:33,960 --> 00:29:35,760 Speaker 1: just ask yourself the question, this is any but like 553 00:29:35,880 --> 00:29:39,000 Speaker 1: low level regular person who is charged with these kinds 554 00:29:39,040 --> 00:29:42,480 Speaker 1: of crimes police like it would be over and yet 555 00:29:42,680 --> 00:29:46,000 Speaker 1: he's protected and looks like very possible. He won't face 556 00:29:46,360 --> 00:29:50,560 Speaker 1: justice ever, zero accountability for this. And imagine how much 557 00:29:50,560 --> 00:29:53,320 Speaker 1: courage it took for Virginia Goodfrid to come out and 558 00:29:53,840 --> 00:29:56,520 Speaker 1: you know, pursue this court, actually pursue this in court, 559 00:29:56,760 --> 00:30:00,800 Speaker 1: knowing what she'll be subjected to, knowing the that these 560 00:30:00,800 --> 00:30:03,240 Speaker 1: types of shenanigans will be pulled to protect him at 561 00:30:03,280 --> 00:30:06,560 Speaker 1: any cost. And that's exactly what's transpired. No, it is 562 00:30:06,600 --> 00:30:09,760 Speaker 1: exactly what's happening. And look, even the judge here in 563 00:30:10,040 --> 00:30:12,840 Speaker 1: our the Southern District of New York was starting to say, like, 564 00:30:12,880 --> 00:30:15,040 Speaker 1: come on, guys, this is ridiculous whenever it came to 565 00:30:15,360 --> 00:30:17,520 Speaker 1: Prince Andrew's legal team. But the whole reason that they're 566 00:30:17,600 --> 00:30:20,120 Speaker 1: challenging this on the serving grounds is because they don't 567 00:30:20,160 --> 00:30:23,760 Speaker 1: even want to go on the record to deny or 568 00:30:23,920 --> 00:30:26,800 Speaker 1: affirm in court what happened. They don't want to They 569 00:30:26,840 --> 00:30:30,880 Speaker 1: want to avoid any admission or denial of guilt. Yes, 570 00:30:31,040 --> 00:30:34,760 Speaker 1: Andrews said, you know in his twenty nineteen BBC interview 571 00:30:35,000 --> 00:30:37,120 Speaker 1: that he didn't do anything. Okay, you know, he could 572 00:30:37,120 --> 00:30:40,200 Speaker 1: say whatever he wants, but remember he has now dodged 573 00:30:40,200 --> 00:30:42,480 Speaker 1: all the FBI to actually speak on the record here. 574 00:30:42,720 --> 00:30:45,239 Speaker 1: He wants to avoid saying anything in court, and they 575 00:30:45,280 --> 00:30:48,200 Speaker 1: want to try and dismiss this on procedural grounds. We'll 576 00:30:48,200 --> 00:30:49,680 Speaker 1: see how that works out. I mean, at the end 577 00:30:49,680 --> 00:30:51,640 Speaker 1: of the day's still a prince. And then the only 578 00:30:51,800 --> 00:30:54,920 Speaker 1: entity which can do anything, which is the Metropolitan Police. 579 00:30:55,040 --> 00:30:57,440 Speaker 1: They protect him. They could go and they could serve 580 00:30:57,480 --> 00:31:00,800 Speaker 1: him with papers, they could investigate him, they could depose 581 00:31:00,880 --> 00:31:02,680 Speaker 1: him on the behalf of the FBI, all of that. 582 00:31:03,000 --> 00:31:05,440 Speaker 1: They're not going to do anything. So just the latest 583 00:31:06,160 --> 00:31:08,160 Speaker 1: in terms of this. They really hope what the want. 584 00:31:08,200 --> 00:31:10,840 Speaker 1: They want the monarchy and all that is. They want 585 00:31:10,880 --> 00:31:13,360 Speaker 1: the press and the public to just lose interests. They're like, look, 586 00:31:13,400 --> 00:31:15,520 Speaker 1: if you drag this out long enough and we stick 587 00:31:15,560 --> 00:31:17,680 Speaker 1: him behind a wall, which is what they've done now 588 00:31:17,720 --> 00:31:20,360 Speaker 1: for almost two years, people are just going to forget. 589 00:31:20,520 --> 00:31:23,440 Speaker 1: Turn the temperature down. They should not forget because this guy, 590 00:31:23,840 --> 00:31:26,880 Speaker 1: you know, you look at the interview for yourself and 591 00:31:26,920 --> 00:31:29,680 Speaker 1: you could say that, in my view, for his lawyers, 592 00:31:29,880 --> 00:31:33,000 Speaker 1: is clearly a liar. Look all pure innocent, Go clear 593 00:31:33,040 --> 00:31:35,640 Speaker 1: your name. There you go. That's simple. Okay, All right, guys, 594 00:31:35,680 --> 00:31:38,320 Speaker 1: we lot more for you later. One more thing, I promise. 595 00:31:38,680 --> 00:31:40,880 Speaker 1: Just wanted to make sure you knew about my podcast 596 00:31:40,880 --> 00:31:43,720 Speaker 1: with Kyle Kolinski. It's called Crystal, Kyle and Friends, where 597 00:31:43,720 --> 00:31:46,520 Speaker 1: we do long form interviews with people like Nom Chomsky, 598 00:31:46,600 --> 00:31:49,880 Speaker 1: Cornell West, and Glenn Greenwald. You can listen on any 599 00:31:49,920 --> 00:31:53,320 Speaker 1: podcast platform, or you can subscribe over on substack to 600 00:31:53,320 --> 00:31:55,320 Speaker 1: get the video a day early. We're going to stop 601 00:31:55,360 --> 00:31:59,080 Speaker 1: bugging you now enjoy some important news about how just 602 00:31:59,200 --> 00:32:02,400 Speaker 1: fake everything he is In Washington, DC. Kamala Harris, our 603 00:32:02,440 --> 00:32:06,400 Speaker 1: vice president, recently produced a YouTube original series about the 604 00:32:06,400 --> 00:32:09,040 Speaker 1: space program. As vice president, she actually is the head 605 00:32:09,280 --> 00:32:12,040 Speaker 1: of the American Space Program. It's a carryover from the 606 00:32:12,160 --> 00:32:16,000 Speaker 1: LBJA days under John F. Kennedy. And in that video, 607 00:32:16,040 --> 00:32:18,240 Speaker 1: you're going to notice some children. The only thing you 608 00:32:18,240 --> 00:32:21,880 Speaker 1: can really notice just from the video itself is good Lord. 609 00:32:22,400 --> 00:32:26,320 Speaker 1: As a politician, I just will never understand what's going on. 610 00:32:26,400 --> 00:32:28,600 Speaker 1: There'll first watch it, and then we're going to tell 611 00:32:28,600 --> 00:32:30,600 Speaker 1: you the important news on the other side about what 612 00:32:30,640 --> 00:32:35,800 Speaker 1: you're seeing. I just love the idea of exploring the unknown, 613 00:32:36,480 --> 00:32:38,920 Speaker 1: and then there's other things that we just haven't figured 614 00:32:38,920 --> 00:32:42,040 Speaker 1: out or discovered yet to think about so much that's 615 00:32:42,160 --> 00:32:46,240 Speaker 1: out there that we still have to learn. I love that. 616 00:32:46,600 --> 00:32:48,480 Speaker 1: I love that, and so I'm very excited about the 617 00:32:48,480 --> 00:32:52,920 Speaker 1: Space Council. We're going to learn so much as we increasingly, 618 00:32:52,960 --> 00:32:57,120 Speaker 1: I think, are curious and interested in the potential for 619 00:32:57,920 --> 00:33:00,000 Speaker 1: the discoveries and the work we can do in space. 620 00:33:00,560 --> 00:33:03,360 Speaker 1: So that's one of the things I'm most excited about. 621 00:33:03,880 --> 00:33:07,800 Speaker 1: But the other you guys are gonna see. You're gonna 622 00:33:07,920 --> 00:33:12,000 Speaker 1: literally see the creators on the moon with your own eyes, 623 00:33:13,000 --> 00:33:16,000 Speaker 1: with your own eyes. I'm telling you, it is going 624 00:33:16,080 --> 00:33:20,680 Speaker 1: to be unbelievable. So those kids who were saying wow, 625 00:33:21,080 --> 00:33:24,400 Speaker 1: uh yeah, first of all coor children. It turns out, 626 00:33:24,400 --> 00:33:28,240 Speaker 1: though of deep investigation left from the Washington Examiner, let's 627 00:33:28,240 --> 00:33:30,680 Speaker 1: put this up there on the screen, that those children 628 00:33:30,920 --> 00:33:34,959 Speaker 1: were actually child actors. And this was all sparked because 629 00:33:35,040 --> 00:33:39,120 Speaker 1: Trevor Bernardino, he was an actor, thirteen year old from Carmel, California. 630 00:33:39,440 --> 00:33:42,680 Speaker 1: He was asked to submit a monologue discussing something he's 631 00:33:42,680 --> 00:33:46,360 Speaker 1: passionate about and three questions for a world leader. He 632 00:33:46,440 --> 00:33:50,959 Speaker 1: then interviewed with a production director and then his agent 633 00:33:51,120 --> 00:33:53,680 Speaker 1: was like, hey, you booked it. And he didn't learn 634 00:33:53,920 --> 00:33:57,480 Speaker 1: until later that he would be meeting with Kamala Harris. 635 00:33:57,800 --> 00:34:01,240 Speaker 1: He was joined by several others. Actually realized I shouldn't 636 00:34:01,240 --> 00:34:04,960 Speaker 1: read all their names, but anyway, it's been confirmed all 637 00:34:05,000 --> 00:34:08,360 Speaker 1: of the children, the multi racial children in the in 638 00:34:08,440 --> 00:34:12,960 Speaker 1: that video were child actors, all five of them. According 639 00:34:12,960 --> 00:34:15,799 Speaker 1: to the father of one of the actors. All of 640 00:34:15,840 --> 00:34:19,840 Speaker 1: them work the one that I mentioned working in Los Angeles, 641 00:34:19,880 --> 00:34:22,919 Speaker 1: and this was billed as a YouTube original called Get 642 00:34:23,080 --> 00:34:27,120 Speaker 1: Curious with Kamala Harris. I mean you can find I mean, 643 00:34:27,600 --> 00:34:32,200 Speaker 1: this became adorable, no knock off. Nothing about the kids, 644 00:34:33,160 --> 00:34:35,319 Speaker 1: So kids who actually were like interested in space and 645 00:34:35,400 --> 00:34:38,960 Speaker 1: would be excited Vice President. I can't stand Kamala Harrison. 646 00:34:39,000 --> 00:34:40,359 Speaker 1: If I was a kid and I got to meet 647 00:34:40,360 --> 00:34:45,800 Speaker 1: the vier. Look, I don't look. I don't know exactly 648 00:34:45,880 --> 00:34:49,839 Speaker 1: what to say to say about it. Very revealing, it 649 00:34:49,920 --> 00:34:53,000 Speaker 1: is very revealing. There were a couple other very revealing 650 00:34:53,239 --> 00:34:56,000 Speaker 1: pieces on this deep dive that the Washington Examiner did. 651 00:34:56,320 --> 00:34:59,279 Speaker 1: One is I liked this line. I am so, so 652 00:34:59,280 --> 00:35:03,080 Speaker 1: so excited this product is out, wrote Emily Keller, a 653 00:35:03,160 --> 00:35:07,719 Speaker 1: YouTube executive overseeing Progressive Civics content partnerships, who, according to 654 00:35:07,800 --> 00:35:12,120 Speaker 1: her LinkedIn, was previously the Democratic National Committee social media director. 655 00:35:13,600 --> 00:35:16,719 Speaker 1: Which also tells you something about, you know, the pipeline 656 00:35:16,719 --> 00:35:21,560 Speaker 1: from politics into corporate executive roles and that whole symbiotic 657 00:35:21,640 --> 00:35:25,359 Speaker 1: relationship which exists, you know, both with Democrats more so 658 00:35:25,400 --> 00:35:28,040 Speaker 1: actually at this point than Republicans, because Trump sort of 659 00:35:28,080 --> 00:35:32,160 Speaker 1: made some of his people rather unemployable. So there's that. 660 00:35:32,680 --> 00:35:36,279 Speaker 1: Then they also point out one of Harris's new advisors, 661 00:35:36,320 --> 00:35:40,560 Speaker 1: Lorraine Voles, has a portfolio including crisis management and marketing 662 00:35:40,600 --> 00:35:44,520 Speaker 1: and rebranding. I think the White House and you know, 663 00:35:44,600 --> 00:35:47,640 Speaker 1: Democrats certainly talk about this in this town. They realize 664 00:35:47,640 --> 00:35:51,120 Speaker 1: they have a problem with Kamala Harris, regardless of you know, 665 00:35:51,120 --> 00:35:54,000 Speaker 1: whether they like or don't like or whatever. They realize 666 00:35:54,000 --> 00:35:57,959 Speaker 1: she is not very good at being a politician. She's 667 00:35:58,000 --> 00:36:02,160 Speaker 1: not well liked. This was all obvious, utterly predictable, given 668 00:36:02,280 --> 00:36:05,920 Speaker 1: that she dramatically failed in her presidential primary bid. Like 669 00:36:05,960 --> 00:36:09,880 Speaker 1: you had a real time test of whether there was 670 00:36:10,239 --> 00:36:13,840 Speaker 1: there was an excitement and an organic appetite for Kamala 671 00:36:13,840 --> 00:36:16,720 Speaker 1: Harris to be the next in line, and they chose 672 00:36:16,760 --> 00:36:19,920 Speaker 1: to ignore that for what reason, I really couldn't tell you. 673 00:36:20,480 --> 00:36:23,279 Speaker 1: I think, you know, I think I think Cliburn put 674 00:36:23,360 --> 00:36:26,480 Speaker 1: a lot of pressure on Biden after he was so instrumental. 675 00:36:26,760 --> 00:36:29,560 Speaker 1: You know, I think certain I still think they were 676 00:36:29,600 --> 00:36:32,239 Speaker 1: kind of looking at Amy Klobashark because remember Biden was saying, like, 677 00:36:32,520 --> 00:36:34,960 Speaker 1: I'm going to make a black woman a Supreme Court justice. 678 00:36:35,200 --> 00:36:37,080 Speaker 1: That was kind of the signal of like, but I'm 679 00:36:37,080 --> 00:36:39,440 Speaker 1: going to pick like a white lady for vice president. 680 00:36:39,800 --> 00:36:42,840 Speaker 1: And then when George Floyd happened and Amy Klobeshark was 681 00:36:42,840 --> 00:36:46,320 Speaker 1: was involved, that took that off the table. So confluence 682 00:36:46,320 --> 00:36:49,560 Speaker 1: of events leads you to Kamala Harris's vice president, and 683 00:36:50,280 --> 00:36:52,799 Speaker 1: it hasn't gone very well. I mean, they've given her 684 00:36:53,200 --> 00:36:56,520 Speaker 1: some very challenging assignments in terms of, hey, why don't 685 00:36:56,520 --> 00:37:00,319 Speaker 1: you handle the immigration and border enforcement? But that in 686 00:37:00,360 --> 00:37:04,480 Speaker 1: your portfolio. They're clearly trying to with this, you know, 687 00:37:04,520 --> 00:37:06,520 Speaker 1: maybe rehab her image a little bit, make her a 688 00:37:06,520 --> 00:37:09,640 Speaker 1: little more relatable. It's a big swing and a miss. 689 00:37:10,080 --> 00:37:12,799 Speaker 1: And the real point that you alluded to is like 690 00:37:13,160 --> 00:37:16,320 Speaker 1: just how fake everything in Washington is. It actually reminded 691 00:37:16,360 --> 00:37:19,520 Speaker 1: me of that story about how the Zoom bookshelves are 692 00:37:20,120 --> 00:37:24,839 Speaker 1: behind people being artificially constructed, right, they were like cultivated, 693 00:37:24,880 --> 00:37:27,120 Speaker 1: but you could hire a company to like cultivate the 694 00:37:27,239 --> 00:37:29,880 Speaker 1: right books on your bookshelf. Like that just says everything 695 00:37:29,880 --> 00:37:32,600 Speaker 1: about DC. Yeah, exactly, we never actually read any of 696 00:37:32,600 --> 00:37:36,080 Speaker 1: those books. Also, update on the video itself, Oh boy, 697 00:37:36,160 --> 00:37:39,640 Speaker 1: it has four hundred thousand views, not bat two point five, 698 00:37:40,239 --> 00:37:44,000 Speaker 1: twenty five hundred up votes, twenty one thousand down votes, 699 00:37:44,480 --> 00:37:47,080 Speaker 1: and comments have been turned off for the video, so 700 00:37:47,640 --> 00:37:51,280 Speaker 1: not so good in terms of its reception. Is that representative? No, Also, 701 00:37:51,400 --> 00:37:53,720 Speaker 1: we have a poll. We've been promising you more polls 702 00:37:54,000 --> 00:37:56,879 Speaker 1: from the breaking Points audience. This is actually revealing though. 703 00:37:56,960 --> 00:37:59,000 Speaker 1: Let's put this up here on the screen, relatively the 704 00:37:59,000 --> 00:38:01,280 Speaker 1: same amount of one day vote right now, it stands 705 00:38:01,320 --> 00:38:04,360 Speaker 1: around sixty four thousand and Yes, that number holds with 706 00:38:04,600 --> 00:38:07,920 Speaker 1: ninety something percent of you saying no, I don't approve 707 00:38:07,960 --> 00:38:10,319 Speaker 1: of Vice President Kamala Harris, two percent of you to 708 00:38:10,360 --> 00:38:14,160 Speaker 1: say yes, eight percent of you say unsure. And I'll 709 00:38:14,200 --> 00:38:17,320 Speaker 1: remind that what were the Biden numbers he did or 710 00:38:17,360 --> 00:38:19,680 Speaker 1: whatever it came to. The Biden numbers, he had a 711 00:38:19,760 --> 00:38:23,240 Speaker 1: seventy eight percent disappeal. So obviously the vast majority there 712 00:38:23,440 --> 00:38:26,560 Speaker 1: still saying that they don't. But I mean much more 713 00:38:26,560 --> 00:38:29,160 Speaker 1: of you, I mean, many thousands more saying that you, 714 00:38:29,360 --> 00:38:33,120 Speaker 1: at least some did approve of Joe Biden, not many 715 00:38:33,640 --> 00:38:36,920 Speaker 1: saying that you do for Kamala Harris. And that tells 716 00:38:36,920 --> 00:38:40,200 Speaker 1: you the whole story. Yeah, they're they're in trouble. I mean, 717 00:38:40,239 --> 00:38:44,239 Speaker 1: there's even speculation that they'll try to push somebody else 718 00:38:44,280 --> 00:38:47,799 Speaker 1: into that slot, not necessarily the vice presidential slot, but 719 00:38:48,080 --> 00:38:50,200 Speaker 1: you know if Joe Biden doesn't run this time, or 720 00:38:50,200 --> 00:38:52,319 Speaker 1: if he doesn't, or whether it's the next time up 721 00:38:52,400 --> 00:38:54,879 Speaker 1: when you know, of course he couldn't serve a third term, 722 00:38:54,920 --> 00:38:58,640 Speaker 1: and plus he'd be exhort and early old that they 723 00:38:58,719 --> 00:39:01,680 Speaker 1: may not ultimately end up with Comlin because just the 724 00:39:02,640 --> 00:39:06,279 Speaker 1: writing on the wall is way too clear. Absolutely all right, guys, 725 00:39:06,320 --> 00:39:08,840 Speaker 1: we're gonna have more for you later. Thanks for listening 726 00:39:08,880 --> 00:39:10,759 Speaker 1: to the show. Guys, we really appreciate it. To help 727 00:39:10,800 --> 00:39:12,840 Speaker 1: other people find the show, go ahead and leave us 728 00:39:12,880 --> 00:39:15,880 Speaker 1: a five star rating on Apple Podcasts or wherever you 729 00:39:15,960 --> 00:39:19,160 Speaker 1: get your podcasts really helps other people find the show 730 00:39:19,480 --> 00:39:23,000 Speaker 1: as always special. Thank you to Supercast for powering our 731 00:39:23,040 --> 00:39:25,560 Speaker 1: premium membership. If you want to find out more, go 732 00:39:25,600 --> 00:39:27,600 Speaker 1: to Crystalansager dot com.