1 00:00:11,657 --> 00:00:14,937 Speaker 1: You're listening to the Buck Sexton Shoe podcast, make sure 2 00:00:14,937 --> 00:00:17,937 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:17,977 --> 00:00:24,097 Speaker 1: wherever you get your podcasts. Elon Musk flexes his muscles. 4 00:00:24,457 --> 00:00:27,257 Speaker 1: We're all for it. Tech billionaire made an offer to 5 00:00:27,337 --> 00:00:29,857 Speaker 1: buy one hundred percent of Twitter at fifty four dollars 6 00:00:29,857 --> 00:00:34,417 Speaker 1: and twenty cents per share. Bindet's valued at about forty 7 00:00:34,457 --> 00:00:37,337 Speaker 1: three billion dollars in total. Musk said the deal is 8 00:00:37,337 --> 00:00:40,297 Speaker 1: part of his plan to bring quote free speech around 9 00:00:40,337 --> 00:00:44,577 Speaker 1: the globe. How refreshing some of us, not the libs. Friends, 10 00:00:44,657 --> 00:00:53,137 Speaker 1: it's time for hold a long. Welcome to hold On. 11 00:00:53,177 --> 00:00:56,337 Speaker 1: I'm Buck Sexton and Elon. We trust, at least in 12 00:00:56,377 --> 00:00:58,177 Speaker 1: so far as you care about the First Amendment of 13 00:00:58,217 --> 00:01:01,257 Speaker 1: the future of free speech on the Internet. The Libs 14 00:01:01,297 --> 00:01:03,097 Speaker 1: are in meltdown about this. We'll get to it in 15 00:01:03,097 --> 00:01:05,817 Speaker 1: a second. But the world's richest man has decided that 16 00:01:05,857 --> 00:01:09,297 Speaker 1: the censorship and the bullying of the left via the 17 00:01:09,297 --> 00:01:13,577 Speaker 1: Twitter platform needs to stop, and so he's trying to 18 00:01:13,617 --> 00:01:18,057 Speaker 1: do something about it. So Elon Musk is going all 19 00:01:18,137 --> 00:01:19,937 Speaker 1: in to try to buy this. Now. They're going to 20 00:01:20,097 --> 00:01:23,177 Speaker 1: stop him if they can. They're circling the wagons in 21 00:01:23,217 --> 00:01:26,137 Speaker 1: a bunch of ways to stop Elon from being able 22 00:01:26,137 --> 00:01:30,817 Speaker 1: to actually own Twitter. Here is his sec filing. I 23 00:01:30,897 --> 00:01:33,857 Speaker 1: invested in Twitter as I believe in its potential to 24 00:01:33,897 --> 00:01:36,297 Speaker 1: be the platform for free speech around the globe, and 25 00:01:36,337 --> 00:01:39,057 Speaker 1: I believe free speech is a societal imperative for a 26 00:01:39,097 --> 00:01:42,537 Speaker 1: functional democracy. However, since making my investment, I now realize 27 00:01:42,537 --> 00:01:45,497 Speaker 1: the company will neither thrive nor serve this societal imperative 28 00:01:45,497 --> 00:01:48,857 Speaker 1: in its current form. Twitter needs to be transformed as 29 00:01:48,857 --> 00:01:52,057 Speaker 1: a private company. My offer is my best and final offer, 30 00:01:52,217 --> 00:01:54,017 Speaker 1: and if it is not accepted, I would need to 31 00:01:54,057 --> 00:01:58,177 Speaker 1: reconsider my position as a shareholder. Twitter has extraordinary potential. 32 00:01:58,657 --> 00:02:03,857 Speaker 1: I will unlock it. I this should be absolutely fantastic, right. 33 00:02:04,097 --> 00:02:06,777 Speaker 1: Anybody who believes in free expression, the free exchange of 34 00:02:06,817 --> 00:02:09,657 Speaker 1: ideas should see this and say to themselves, well, this 35 00:02:09,737 --> 00:02:13,297 Speaker 1: is great. You've got the world's richest man who's really 36 00:02:13,337 --> 00:02:16,337 Speaker 1: a genius, let's be honest, built Tesla SpaceX. This guy's 37 00:02:16,337 --> 00:02:20,737 Speaker 1: an incredible visionary and he's not a dogmatic right winger 38 00:02:20,777 --> 00:02:22,857 Speaker 1: by any stretch. He just believes in the free exchange 39 00:02:22,857 --> 00:02:25,817 Speaker 1: of ideas. He realizes how important that is for a 40 00:02:25,977 --> 00:02:31,817 Speaker 1: free and functional society. And yet the left is angry 41 00:02:31,857 --> 00:02:33,897 Speaker 1: about this, and some on the right or people who 42 00:02:33,897 --> 00:02:35,497 Speaker 1: pretend to be on the right for the amusement of 43 00:02:35,537 --> 00:02:39,137 Speaker 1: the left. For example, the Washington Post, which is owned 44 00:02:39,137 --> 00:02:41,657 Speaker 1: by a billionaire. Worth noting because all these people are 45 00:02:41,737 --> 00:02:44,137 Speaker 1: upset about a billionaire trying to buy Twitter, but a 46 00:02:44,137 --> 00:02:48,177 Speaker 1: billionaire owns the Washington Post, and the Salzburger Salzburger family 47 00:02:48,217 --> 00:02:51,417 Speaker 1: that owns the New York Times. Billionaires Carlos Slim who 48 00:02:51,457 --> 00:02:53,657 Speaker 1: invested and owned I think about twenty percent of the 49 00:02:53,657 --> 00:02:57,257 Speaker 1: New York Times until pretty recently. Billionaire. That's all fine, 50 00:02:57,297 --> 00:03:00,657 Speaker 1: of course, right Those billionaires are good George Soros investing 51 00:03:00,657 --> 00:03:05,857 Speaker 1: money all over the country in social justice causes, even 52 00:03:05,857 --> 00:03:09,097 Speaker 1: in DA's races, so that you can have district attorneys 53 00:03:09,137 --> 00:03:12,497 Speaker 1: who let rear violent criminals out because you know, justice 54 00:03:12,577 --> 00:03:15,537 Speaker 1: or something that's the good. Those are the good billionaires. 55 00:03:16,097 --> 00:03:21,217 Speaker 1: Max Boot, former Republican, now somebody who does this self 56 00:03:21,617 --> 00:03:26,097 Speaker 1: debasing nonsense of I'm a right winger who only criticizes Republicans, 57 00:03:26,377 --> 00:03:29,257 Speaker 1: he wrote on Twitter. He's a moron. I'm frightened by 58 00:03:29,297 --> 00:03:32,577 Speaker 1: the impact on society and politics if Elon Musk acquires Twitter. 59 00:03:32,857 --> 00:03:35,497 Speaker 1: He seems to believe that on social media, anything goes. 60 00:03:35,537 --> 00:03:39,577 Speaker 1: For democracy to survive, we need more content moderation, not less. 61 00:03:39,777 --> 00:03:43,657 Speaker 1: Content moderation is a fancy way of saying censorship because 62 00:03:43,657 --> 00:03:46,657 Speaker 1: you see no one is arguing and nor does Elon 63 00:03:46,737 --> 00:03:49,937 Speaker 1: Musk argue in favor of you can make death threats, 64 00:03:50,217 --> 00:03:53,097 Speaker 1: or there should be pornography on Twitter, or there should 65 00:03:53,097 --> 00:03:57,777 Speaker 1: be doxing of individual's private phone numbers, home addresses on Twitter. 66 00:03:57,897 --> 00:04:00,697 Speaker 1: No one's arguing for that. Here's what we are arguing. 67 00:04:00,977 --> 00:04:03,137 Speaker 1: You should be able to say that a man can't 68 00:04:03,137 --> 00:04:07,657 Speaker 1: become a woman, because it's true. You should be able 69 00:04:07,697 --> 00:04:12,897 Speaker 1: to say that mask policies, mask mandates, masking up does 70 00:04:12,977 --> 00:04:17,977 Speaker 1: not work, to stop to stop covid, because it's true. 71 00:04:18,497 --> 00:04:22,057 Speaker 1: You should have been able to share, whether openly or 72 00:04:22,097 --> 00:04:26,897 Speaker 1: through direct message, the Hunter Biden laptop story, because it 73 00:04:27,057 --> 00:04:30,937 Speaker 1: was true. That's what we're really fighting over here, and 74 00:04:31,017 --> 00:04:33,937 Speaker 1: everybody knows it. But they go, oh, we need more 75 00:04:33,977 --> 00:04:36,617 Speaker 1: content moderation. Real, so it's just going to be anarchy 76 00:04:36,697 --> 00:04:40,017 Speaker 1: on Twitter. I'm sorry. Whatever happened to Twitter. As a 77 00:04:40,057 --> 00:04:41,737 Speaker 1: private company, it can do what it wants. They're going 78 00:04:41,817 --> 00:04:43,457 Speaker 1: to change our tune on that really quickly. Look, the 79 00:04:43,537 --> 00:04:46,257 Speaker 1: left has no principles. They have the pursuit of power. 80 00:04:46,297 --> 00:04:50,177 Speaker 1: There is no core principle of the left other than 81 00:04:50,217 --> 00:04:52,817 Speaker 1: that power. We must have it, we must wield it. 82 00:04:52,857 --> 00:04:54,657 Speaker 1: That is what the left things. However they get there 83 00:04:55,057 --> 00:04:57,857 Speaker 1: is fine, and however much they abuse it is fine, 84 00:04:57,897 --> 00:05:01,857 Speaker 1: because the end is power in itself. Here you go, 85 00:05:01,897 --> 00:05:04,697 Speaker 1: here's a software allegedly a software engineer and Twitter. I 86 00:05:04,737 --> 00:05:06,697 Speaker 1: think he might be a Blue checks It's probably true. 87 00:05:07,097 --> 00:05:09,657 Speaker 1: I can't even I can't even with Elon buying Twitter. 88 00:05:10,057 --> 00:05:13,137 Speaker 1: They have to rethink my employment. If that actually happens. Good, 89 00:05:13,297 --> 00:05:18,337 Speaker 1: Go destroy free speech somewhere else. Stop doing it at 90 00:05:19,697 --> 00:05:23,497 Speaker 1: a place that was built, was built on the promise 91 00:05:23,537 --> 00:05:25,897 Speaker 1: that it would be a platform for free speech, and 92 00:05:25,937 --> 00:05:28,977 Speaker 1: it has. It has betrayed its users, and it has 93 00:05:29,017 --> 00:05:34,257 Speaker 1: betrayed its role in public discourse. Here is another person, 94 00:05:34,297 --> 00:05:37,897 Speaker 1: another person of the left. So upset, Pam Keith lawyer whatever, 95 00:05:38,257 --> 00:05:42,657 Speaker 1: dear Elon blank Off. Wow, it's great lawyer in there. 96 00:05:42,977 --> 00:05:45,097 Speaker 1: Your ego is way bigger than your judgment. And your 97 00:05:45,137 --> 00:05:47,857 Speaker 1: money doesn't make you a decent leader of a damn thing. 98 00:05:48,497 --> 00:05:50,777 Speaker 1: You run a racist company. And I will never let 99 00:05:50,817 --> 00:05:52,617 Speaker 1: my words drive your bottom line. I'll be doing all 100 00:05:52,657 --> 00:05:54,777 Speaker 1: I kend of convinced liberals not to buy your stuff. 101 00:05:55,097 --> 00:05:56,977 Speaker 1: Yeah this I don't even know who this person is, 102 00:05:57,617 --> 00:05:59,817 Speaker 1: never seen or heard of her before. No one cares. 103 00:05:59,977 --> 00:06:02,457 Speaker 1: But it's just interesting to see inside the mind of 104 00:06:02,457 --> 00:06:05,177 Speaker 1: these left is. I'm angry that Elon's gonna buy a company, 105 00:06:05,217 --> 00:06:10,137 Speaker 1: So let's call him racist, call him racist? Why just 106 00:06:10,177 --> 00:06:12,177 Speaker 1: because they're trying to smear him, because they're angry at him. 107 00:06:12,697 --> 00:06:14,777 Speaker 1: Because Twitter has become this little toy that the left 108 00:06:14,777 --> 00:06:18,017 Speaker 1: gets to use however it wants, and it pretends that 109 00:06:18,057 --> 00:06:20,177 Speaker 1: it's going to share with the other side, with Republicans, 110 00:06:20,177 --> 00:06:22,537 Speaker 1: with conservatives, with just free speech in general. But it doesn't. 111 00:06:23,377 --> 00:06:26,537 Speaker 1: They like this game. They like it rigged, just like 112 00:06:26,577 --> 00:06:29,537 Speaker 1: they like their elections, just like they like their election. 113 00:06:30,137 --> 00:06:34,457 Speaker 1: Here's college professor a very sane fellow, Wilfred Riley. He writes, 114 00:06:34,497 --> 00:06:36,377 Speaker 1: the wild thing about the potential must take over of 115 00:06:36,417 --> 00:06:39,217 Speaker 1: Twitter is that no one even pretends Elon is a 116 00:06:39,297 --> 00:06:43,417 Speaker 1: movement conservative who will censor leftists or norms. The argument 117 00:06:43,497 --> 00:06:47,737 Speaker 1: is wholly that he will stop other censorship that they like, 118 00:06:48,577 --> 00:06:52,817 Speaker 1: and that is exactly the point. They don't worry. There's 119 00:06:52,817 --> 00:06:55,137 Speaker 1: no concern that leftists are going to be booted off 120 00:06:55,137 --> 00:06:57,057 Speaker 1: the platform or that Democrats are going to be sounds. 121 00:06:57,217 --> 00:07:01,937 Speaker 1: No. No No, they can't handle a fair game. That's the point, 122 00:07:02,457 --> 00:07:05,057 Speaker 1: the notion of a fair platform where ideas can be 123 00:07:05,097 --> 00:07:07,497 Speaker 1: shared and people can say, hey, your idea is stupid, 124 00:07:07,577 --> 00:07:09,297 Speaker 1: or hey, this is true whether you like it or not. 125 00:07:10,137 --> 00:07:12,297 Speaker 1: Left can't handle it. And it's in part because think 126 00:07:12,297 --> 00:07:16,177 Speaker 1: of some of the positions that they take completely indefensible, absurd. 127 00:07:16,617 --> 00:07:20,417 Speaker 1: The Biden administration, for example, claims that it's a good 128 00:07:20,457 --> 00:07:23,377 Speaker 1: idea to deal with inflation, just had the federal government 129 00:07:23,377 --> 00:07:26,377 Speaker 1: spend five trillion more dollars. That's crazy, right, Well, how 130 00:07:26,417 --> 00:07:28,297 Speaker 1: do the American people find out that it's crazy? If 131 00:07:28,337 --> 00:07:30,057 Speaker 1: when you start to make your case on Twitter, they 132 00:07:30,257 --> 00:07:33,177 Speaker 1: shadow banu, they throttle you, or even worse, if you 133 00:07:33,217 --> 00:07:36,897 Speaker 1: say that Rachel Levine, the member of HHS who just 134 00:07:36,937 --> 00:07:41,017 Speaker 1: got some some woman of the Year award, and then 135 00:07:41,017 --> 00:07:44,977 Speaker 1: they Sacramento b I'm sorry not the Babylon be made 136 00:07:45,017 --> 00:07:47,097 Speaker 1: a joke about how Rachel Levine is in fact a 137 00:07:47,097 --> 00:07:49,577 Speaker 1: man and that can never change and that biology will 138 00:07:49,577 --> 00:07:53,697 Speaker 1: never be altered, and Twitter shuts down the the Babylon b. 139 00:07:53,737 --> 00:07:56,257 Speaker 1: I always do that the Babylon b account, and you 140 00:07:56,297 --> 00:07:58,977 Speaker 1: say to yourself, well, what's that all about. We see 141 00:07:59,017 --> 00:08:03,297 Speaker 1: the left can't deal with censorship. The left can't deal 142 00:08:03,417 --> 00:08:07,417 Speaker 1: with an even playing field in the realm of ideas. 143 00:08:07,457 --> 00:08:11,937 Speaker 1: So for them, this is a catastrophic We just want fair. 144 00:08:12,537 --> 00:08:15,257 Speaker 1: They hate fair. Here's a college professor, just to give 145 00:08:15,297 --> 00:08:17,417 Speaker 1: you sense of how much the hysteria gets turned up here, 146 00:08:17,737 --> 00:08:22,097 Speaker 1: Jeff Jarvis. Sure this guy triple masks alone outside because 147 00:08:22,097 --> 00:08:25,217 Speaker 1: it takes the virus seriously. Today on Twitter it feels 148 00:08:25,217 --> 00:08:27,457 Speaker 1: like the last evening in a Berlin nightclub at the 149 00:08:27,497 --> 00:08:32,857 Speaker 1: twilight of Weimar Germany. Oh yeah, because people being able 150 00:08:32,897 --> 00:08:35,097 Speaker 1: to actually share their thoughts on Twitter is just like 151 00:08:35,137 --> 00:08:39,457 Speaker 1: the rise of the Nazis. It's amazing, isn't even if Elan. Look, 152 00:08:39,497 --> 00:08:41,377 Speaker 1: they're gonna do everything that can. The DOJ is now 153 00:08:41,377 --> 00:08:45,417 Speaker 1: investigating Tesla for regulatory issuers. Oh, I'm sure that's a coincidence. 154 00:08:46,257 --> 00:08:49,137 Speaker 1: And they're going to circle the wagons here, the Democrat 155 00:08:49,137 --> 00:08:51,537 Speaker 1: aligned corporate media and just they're gonna do everything that 156 00:08:51,617 --> 00:08:54,257 Speaker 1: can to stop this buy And I think right now 157 00:08:54,257 --> 00:08:56,457 Speaker 1: the odds are probably against Elon being able to buy it. 158 00:08:56,937 --> 00:08:59,817 Speaker 1: Bat all said, they've showed everybody beyond a shadow of 159 00:08:59,857 --> 00:09:05,057 Speaker 1: a doubt who they are. They are speech fensors and suppressors. 160 00:09:05,137 --> 00:09:08,577 Speaker 1: Because their ideas suck, they can't defend them, so they 161 00:09:08,617 --> 00:09:12,377 Speaker 1: have to cheat in terms of the platform the battlefield. 162 00:09:12,737 --> 00:09:15,337 Speaker 1: That's the way this goes. Are we come back, We'll 163 00:09:15,377 --> 00:09:18,057 Speaker 1: have more on Elon's efforts here to acquire Twitter and 164 00:09:18,057 --> 00:09:21,617 Speaker 1: the implications that it has, with former Facebook employee and 165 00:09:21,657 --> 00:09:24,337 Speaker 1: research fellow at the Heritage Foundation, Kara Frederick. First, I 166 00:09:24,417 --> 00:09:26,337 Speaker 1: want to talk to you about protecting your online data. 167 00:09:26,377 --> 00:09:28,657 Speaker 1: A lot of companies promise your privacy is guaranteed. That's 168 00:09:28,657 --> 00:09:30,897 Speaker 1: not true. That's why you need a new privacy and 169 00:09:30,897 --> 00:09:35,457 Speaker 1: cybersecurity application tool called Secure. It's spelled seku are. Secure 170 00:09:35,537 --> 00:09:39,177 Speaker 1: is using proprietary encryption and offering secure instant messaging and email. 171 00:09:39,497 --> 00:09:41,937 Speaker 1: Would secure all of your communications based on servers and 172 00:09:42,017 --> 00:09:44,537 Speaker 1: data centers hosted in Switzerland without using any of the 173 00:09:44,577 --> 00:09:47,857 Speaker 1: big tech platforms. Privacy is a big issue without real security, 174 00:09:47,857 --> 00:09:50,457 Speaker 1: people can read your emails, messages, even your bank information. 175 00:09:50,617 --> 00:09:52,897 Speaker 1: Secure takes care of that. You can send emails to 176 00:09:52,937 --> 00:09:55,777 Speaker 1: your doctor, bank, or lawyer, anyone else with total confidence. 177 00:09:55,777 --> 00:09:57,817 Speaker 1: You're not being spied on by your Internet provider or 178 00:09:57,897 --> 00:10:00,817 Speaker 1: big Peck. Cost only five dollars from the messenger only 179 00:10:00,857 --> 00:10:03,737 Speaker 1: ten dollars from the messenger and email combination package. Go 180 00:10:03,817 --> 00:10:06,257 Speaker 1: to secure dot com and take back your privacy today. 181 00:10:06,297 --> 00:10:09,617 Speaker 1: That's sekure dot com and use promo code buck for 182 00:10:09,657 --> 00:10:13,497 Speaker 1: twenty five percent off. Former Facebook employee care Frederick joins 183 00:10:13,497 --> 00:10:19,417 Speaker 1: to talk about social media platforms in a moment. There's 184 00:10:19,417 --> 00:10:21,177 Speaker 1: a battle going on right now, but maybe the most 185 00:10:21,177 --> 00:10:23,577 Speaker 1: important fight our country has had since the Revolutionary War. 186 00:10:24,017 --> 00:10:25,977 Speaker 1: Once again, it's about our freedom. People like you and 187 00:10:26,017 --> 00:10:28,697 Speaker 1: me are being canceled, our speech increasingly censored by big 188 00:10:28,697 --> 00:10:31,737 Speaker 1: tech and corporate media. Can't let that happen. Time to 189 00:10:31,737 --> 00:10:34,937 Speaker 1: fight back. Please stand with us and support the First TV. 190 00:10:35,217 --> 00:10:37,137 Speaker 1: Be a part of our team dedicated to preserving the 191 00:10:37,217 --> 00:10:43,297 Speaker 1: very essence of who we are free Americans. With Elon 192 00:10:43,377 --> 00:10:47,017 Speaker 1: Musk potentially taking over Twitter, conservatives and free speech advocates 193 00:10:47,057 --> 00:10:49,697 Speaker 1: can breathe the sigh of relief, but people across the 194 00:10:49,737 --> 00:10:53,017 Speaker 1: aisle are starting to sweat. For years, Twitter has been 195 00:10:53,417 --> 00:10:55,857 Speaker 1: a rigged game for the left, suppressing some ideas and 196 00:10:55,897 --> 00:10:59,297 Speaker 1: accounts while elevating others. This has led to a chilling 197 00:10:59,297 --> 00:11:01,777 Speaker 1: effect on free speech. Of course, our next guest has 198 00:11:01,817 --> 00:11:05,177 Speaker 1: called out Twitter and other big tech platforms for violating 199 00:11:05,217 --> 00:11:08,017 Speaker 1: free speech principles and agreed it's time for aggressive reforms 200 00:11:08,057 --> 00:11:12,457 Speaker 1: to ensure these tech giants are held account. Heritage Technology 201 00:11:12,457 --> 00:11:16,697 Speaker 1: Research fellow and former Facebook employee Kara Frederick is with us. Now, Kara, 202 00:11:16,817 --> 00:11:21,137 Speaker 1: thanks so much, Chars, thanks for having me so. First off, 203 00:11:21,177 --> 00:11:23,097 Speaker 1: I mean, there's the big question as to whether or 204 00:11:23,097 --> 00:11:26,897 Speaker 1: not this will go through. Twitter seems like it's circling 205 00:11:26,897 --> 00:11:31,537 Speaker 1: the wagons to fight this buyout or purchase effort by 206 00:11:31,937 --> 00:11:36,057 Speaker 1: Elon Mussel. But just give folks a sense of what 207 00:11:36,577 --> 00:11:41,657 Speaker 1: level of actual censorship suppression and maybe we could say 208 00:11:41,697 --> 00:11:45,377 Speaker 1: algorithmic gamesmanship goes on at places like Twitter or Facebook, 209 00:11:45,617 --> 00:11:49,817 Speaker 1: these massive platforms. Yeah, I think it's huge, and I 210 00:11:49,857 --> 00:11:52,697 Speaker 1: think people can believe they're lying eyes when they see 211 00:11:52,737 --> 00:11:56,657 Speaker 1: what's being censored on Twitter. At nauseum. You have Representative 212 00:11:56,697 --> 00:11:58,697 Speaker 1: Jim Banks saying a man is a man and a 213 00:11:58,737 --> 00:12:00,817 Speaker 1: woman is a woman. You have the babble On be 214 00:12:01,097 --> 00:12:04,537 Speaker 1: most reasently saying Rachel Levine is our man of the Year. 215 00:12:04,897 --> 00:12:07,617 Speaker 1: Now she identifies as a woman, so that's her boating 216 00:12:08,217 --> 00:12:10,697 Speaker 1: you have examples over and over, and I see the 217 00:12:11,017 --> 00:12:14,537 Speaker 1: predominant one is the Hunter Biden laptop. Twitter was the 218 00:12:14,577 --> 00:12:16,977 Speaker 1: one who led the way in this regard. They even 219 00:12:17,017 --> 00:12:19,577 Speaker 1: broke the links to that New York Post story on 220 00:12:19,697 --> 00:12:23,657 Speaker 1: Hunter Biden's laptop within the direct messages of Twitter users, 221 00:12:23,657 --> 00:12:26,497 Speaker 1: so even if you wanted access to the story on Twitter, 222 00:12:26,817 --> 00:12:29,537 Speaker 1: you couldn't get it. And then there's various studies out 223 00:12:29,577 --> 00:12:33,617 Speaker 1: that basically say, hey, social media company's sensor say sitting 224 00:12:33,617 --> 00:12:36,257 Speaker 1: Republican Congress members at a rate of fifty three to 225 00:12:36,337 --> 00:12:40,617 Speaker 1: one to Democratic congress members. So this suppression goes on, 226 00:12:40,737 --> 00:12:44,217 Speaker 1: and it's not just at the algorithmic level. Clearly, the 227 00:12:44,337 --> 00:12:47,817 Speaker 1: hate speech algorithms didn't necessarily take down the recent New 228 00:12:47,897 --> 00:12:51,217 Speaker 1: York shooter because he was of a different political persuasion 229 00:12:51,337 --> 00:12:55,377 Speaker 1: than the leftist narrative would have you propagate. So you 230 00:12:55,377 --> 00:12:57,297 Speaker 1: can sort of see the studies, You can sort of 231 00:12:57,297 --> 00:13:00,457 Speaker 1: see with your own eyes what's happening at on a 232 00:13:00,497 --> 00:13:03,297 Speaker 1: regular level, at the algorithmic level, and then the content 233 00:13:03,377 --> 00:13:07,417 Speaker 1: moderators making these individual decisions themselves. Once some of that 234 00:13:07,497 --> 00:13:12,017 Speaker 1: automation escalates to human review, it is pervasive across these platforms. 235 00:13:12,817 --> 00:13:15,537 Speaker 1: Here was a tweet from Elon just last month. Free 236 00:13:15,537 --> 00:13:19,097 Speaker 1: speech is essential to a functioning democracy. Do you believe 237 00:13:19,097 --> 00:13:22,217 Speaker 1: Twitter rigorously adheres to this principle? He put out a 238 00:13:22,257 --> 00:13:25,817 Speaker 1: poll here, seventy percent said no. No. You could say, well, 239 00:13:25,817 --> 00:13:28,057 Speaker 1: this isn't scientific, it's a skewed pole, whatever the case 240 00:13:28,097 --> 00:13:31,737 Speaker 1: may be. But I just have to wonder, how could 241 00:13:31,817 --> 00:13:35,817 Speaker 1: anyone think that Twitter is actually even trying to be 242 00:13:35,857 --> 00:13:39,777 Speaker 1: a free speech platform? Put aside all the obvious violations 243 00:13:39,777 --> 00:13:42,337 Speaker 1: of that principle, like the suppression of the Hunter Biden laptop, 244 00:13:42,377 --> 00:13:45,177 Speaker 1: and you can't say things about masks, you can't even 245 00:13:45,257 --> 00:13:47,857 Speaker 1: share studies about masks, all these different things that are 246 00:13:47,857 --> 00:13:51,617 Speaker 1: out there. They're freaking out because a guy wants to 247 00:13:51,657 --> 00:13:54,617 Speaker 1: buy Twitter to make sure that everybody has free speech 248 00:13:54,657 --> 00:13:56,977 Speaker 1: rights on Twitter. So how could it be anything other 249 00:13:56,977 --> 00:14:02,697 Speaker 1: than a suppression platform? Exactly? This exposes Bill Why remember 250 00:14:02,737 --> 00:14:05,497 Speaker 1: when Twitter was first created and they said they wanted 251 00:14:05,497 --> 00:14:08,337 Speaker 1: to be the free speech wing of the Free speech Party. 252 00:14:09,017 --> 00:14:12,177 Speaker 1: We clearly know that it's gone all downhill from there. 253 00:14:13,257 --> 00:14:15,977 Speaker 1: The biggest problem, though, I think here is that the 254 00:14:16,017 --> 00:14:19,417 Speaker 1: fact that we have to choose between billionaires Saint Jeff 255 00:14:19,457 --> 00:14:22,617 Speaker 1: Bezos and the Washington post Elon Musk who believes that 256 00:14:22,777 --> 00:14:25,697 Speaker 1: free speech is a societal imperative, but the fact that 257 00:14:25,737 --> 00:14:29,217 Speaker 1: we have to choose between them, that's an admission of 258 00:14:29,257 --> 00:14:31,377 Speaker 1: where we are when it comes to free speech in 259 00:14:31,377 --> 00:14:35,057 Speaker 1: our society today. Because it's about who controls the discourse 260 00:14:35,297 --> 00:14:37,057 Speaker 1: right now, I can tell you it ain't the people. 261 00:14:37,417 --> 00:14:40,297 Speaker 1: And are we a republic allowed to govern ourselves or not? 262 00:14:40,497 --> 00:14:43,177 Speaker 1: Or are we going to keep subjecting ourselves to these 263 00:14:43,537 --> 00:14:47,497 Speaker 1: bottlenecks that really cut into this culture of free speech 264 00:14:47,657 --> 00:14:50,897 Speaker 1: and gender self censorship chill open discourse. I mean this 265 00:14:50,977 --> 00:14:54,817 Speaker 1: has political effects but also cultural effects that hit at 266 00:14:54,817 --> 00:14:57,777 Speaker 1: our very core of who we are. Fundamentally, our rights 267 00:14:57,817 --> 00:15:00,937 Speaker 1: as American, the freedom to speak freely and the disposition 268 00:15:00,937 --> 00:15:04,657 Speaker 1: to do so without material impacts. This means everything, and 269 00:15:04,697 --> 00:15:07,817 Speaker 1: I think Elon he recognizes this and he's trying to 270 00:15:07,897 --> 00:15:09,777 Speaker 1: change it. But we shouldn't have to rely on a 271 00:15:09,817 --> 00:15:12,177 Speaker 1: hand full of billionaires to actually do that, or even 272 00:15:12,177 --> 00:15:14,937 Speaker 1: just one in this case. I'm just wondering, how does 273 00:15:14,977 --> 00:15:19,777 Speaker 1: the machinery of censorship and you know, algorithmic games to 274 00:15:20,297 --> 00:15:23,777 Speaker 1: put forward some ideas and individuals to elevate them to 275 00:15:23,777 --> 00:15:26,777 Speaker 1: suppress others, How does that stuff work. I mean it's 276 00:15:26,937 --> 00:15:29,697 Speaker 1: I mean you work at Facebook. Does Facebook essentially have 277 00:15:30,217 --> 00:15:32,777 Speaker 1: a room full of people whose job it is to 278 00:15:32,857 --> 00:15:34,657 Speaker 1: do that and they just get to make choices and 279 00:15:34,697 --> 00:15:36,657 Speaker 1: no one ever, you know, there's no oversight. How does 280 00:15:36,697 --> 00:15:40,257 Speaker 1: it work? You know, they have a couple rooms full 281 00:15:40,297 --> 00:15:42,497 Speaker 1: of people to do this and it works in a 282 00:15:42,497 --> 00:15:45,697 Speaker 1: few different ways. You have your automated component, so that's 283 00:15:45,937 --> 00:15:48,697 Speaker 1: automated everything that you can. This is the the actual 284 00:15:48,777 --> 00:15:51,377 Speaker 1: AI that does the work of parsing through the data. 285 00:15:51,497 --> 00:15:56,017 Speaker 1: They look for specific keywords, they code in, and they 286 00:15:56,177 --> 00:15:58,857 Speaker 1: change and they tweak and they refine the algorithms. They 287 00:15:58,937 --> 00:16:01,577 Speaker 1: use internal tools to do this as well. So there's 288 00:16:01,577 --> 00:16:04,857 Speaker 1: a machine level that goes into this as well. Sometimes 289 00:16:04,977 --> 00:16:08,657 Speaker 1: you have that the machine flags some of these issues 290 00:16:08,697 --> 00:16:11,657 Speaker 1: and they escalate it to a different Q, which is 291 00:16:11,697 --> 00:16:14,377 Speaker 1: a human looking at it, so human reviews. So there's 292 00:16:14,417 --> 00:16:16,777 Speaker 1: sort of a combination of both. There's a lot of 293 00:16:16,777 --> 00:16:20,057 Speaker 1: boasting that their algorithms pick up some of what they're 294 00:16:20,097 --> 00:16:23,177 Speaker 1: calling hate speech, what they program as hate speech and whatnot, 295 00:16:23,217 --> 00:16:26,937 Speaker 1: but humans do. If this case could stand to be 296 00:16:27,057 --> 00:16:30,257 Speaker 1: a public relations fire, then humans do tend to get 297 00:16:30,257 --> 00:16:32,697 Speaker 1: their eyes on some of this content. Not in a 298 00:16:32,737 --> 00:16:35,857 Speaker 1: lot of ways. Usually upwards of ninety percent of say, 299 00:16:36,177 --> 00:16:39,777 Speaker 1: genuine terrorist content is caught by machines first. But there's 300 00:16:39,777 --> 00:16:43,297 Speaker 1: a combination of the two, and content moderators a lot 301 00:16:43,337 --> 00:16:45,577 Speaker 1: of you know, they have tens of thousands at least 302 00:16:45,577 --> 00:16:48,497 Speaker 1: that Facebook who comb through some of this content with 303 00:16:48,617 --> 00:16:52,017 Speaker 1: human eyes, and you know, they make decisions as well. 304 00:16:52,097 --> 00:16:54,977 Speaker 1: Sometimes it's escalated to as high as the C suite 305 00:16:55,057 --> 00:16:57,657 Speaker 1: and they make decisions as then too. But it's a 306 00:16:58,017 --> 00:17:00,897 Speaker 1: you know, we almost will never know as well, especially 307 00:17:00,897 --> 00:17:03,977 Speaker 1: as they tweak and create those internal tools to do 308 00:17:04,017 --> 00:17:06,777 Speaker 1: this too, so effectively it's a black box. We need 309 00:17:07,057 --> 00:17:10,057 Speaker 1: more transparency if we're going to think about the impacts 310 00:17:10,137 --> 00:17:13,777 Speaker 1: of these content moderation practices. They're very upset about the 311 00:17:13,817 --> 00:17:17,337 Speaker 1: prospect of free speech over at CNN Kara, which is 312 00:17:17,337 --> 00:17:20,897 Speaker 1: fascinating because CNN is allegedly, i mean it's not, but 313 00:17:21,017 --> 00:17:25,137 Speaker 1: allegedly a journalism organization. Here's a Brian Stelter over there 314 00:17:25,137 --> 00:17:27,897 Speaker 1: talking about the Musk bid. Twitter is now in a 315 00:17:27,977 --> 00:17:31,017 Speaker 1: very public fight with its biggest shareholder, who is also 316 00:17:31,057 --> 00:17:33,337 Speaker 1: the richest man in the world, who of course is 317 00:17:33,377 --> 00:17:36,257 Speaker 1: you know, the invested in Tesla and so many other companies, 318 00:17:36,377 --> 00:17:38,257 Speaker 1: and he wants to be invested more in Twitter. He 319 00:17:38,337 --> 00:17:41,017 Speaker 1: says he wants to pay fifty four dollars twenty cents 320 00:17:41,017 --> 00:17:42,857 Speaker 1: a share to buy up the rest of Twitter that 321 00:17:42,897 --> 00:17:46,377 Speaker 1: he doesn't have. Of course, fifty four twenty, that's four twenty. 322 00:17:46,417 --> 00:17:49,297 Speaker 1: That's a code for marijuana, you know, which he very 323 00:17:49,377 --> 00:17:51,897 Speaker 1: much enjoys. So is this all a troll or is 324 00:17:51,937 --> 00:17:53,897 Speaker 1: this very real? Well, it's real enough that he filed 325 00:17:53,937 --> 00:17:56,097 Speaker 1: with the SEC. It's real enough that he's saying this 326 00:17:56,137 --> 00:17:58,497 Speaker 1: is my best and final offer. It's real enough that 327 00:17:58,577 --> 00:18:00,497 Speaker 1: investors are now wondering what's going to happen if he 328 00:18:00,497 --> 00:18:03,097 Speaker 1: pulls out and sells all the shares he already has. 329 00:18:03,257 --> 00:18:05,697 Speaker 1: It's a huge problem for Twitter right now? Is it 330 00:18:05,817 --> 00:18:08,137 Speaker 1: a huge problem for Twitter? The richest man in the 331 00:18:08,137 --> 00:18:11,297 Speaker 1: world wants to pay a b of the market price 332 00:18:11,417 --> 00:18:14,817 Speaker 1: by what twenty or thirty percent, roughly making everybody who's 333 00:18:14,817 --> 00:18:17,377 Speaker 1: a Twitter stockholder, making everybody at the company who owned 334 00:18:17,417 --> 00:18:20,577 Speaker 1: stock in the company richer. He's the richest guy on 335 00:18:20,617 --> 00:18:24,137 Speaker 1: the planet and a company doesn't want him to buy 336 00:18:24,177 --> 00:18:27,257 Speaker 1: them because he says he's going to do what they 337 00:18:27,377 --> 00:18:29,057 Speaker 1: promise to do. In the beginning of Twitter, which is 338 00:18:29,097 --> 00:18:33,017 Speaker 1: free speech, Kara, something doesn't add up here. That is 339 00:18:33,057 --> 00:18:36,217 Speaker 1: how far we've fallen. And you look at some of 340 00:18:36,217 --> 00:18:39,857 Speaker 1: the editorials in the Washington Post, owned by Jeff Bezos, 341 00:18:40,097 --> 00:18:42,137 Speaker 1: another one of the richest men in the entire world. 342 00:18:42,417 --> 00:18:45,017 Speaker 1: Nobody from the left freaks out about that. I didn't 343 00:18:45,057 --> 00:18:48,377 Speaker 1: hear they're clamoring when he bought the Post whatsoever. So 344 00:18:48,737 --> 00:18:51,657 Speaker 1: in my mind, the left has an entirely different conception 345 00:18:51,977 --> 00:18:55,217 Speaker 1: of what free speech actually means in America. If the 346 00:18:55,217 --> 00:18:57,657 Speaker 1: people that they like are saying things, that's okay, But 347 00:18:57,697 --> 00:19:00,097 Speaker 1: if the people that they don't like are actually speaking, 348 00:19:00,537 --> 00:19:03,937 Speaker 1: that's not allowed. I mean, this is there's nothing more obvious, 349 00:19:03,937 --> 00:19:06,617 Speaker 1: I think if this has exposed them for who they 350 00:19:06,657 --> 00:19:09,777 Speaker 1: truly are and what they truly think. Kara, thanks for 351 00:19:09,937 --> 00:19:15,177 Speaker 1: x rtiges. Good to see you appreciate a bud. Residents 352 00:19:15,297 --> 00:19:18,737 Speaker 1: of China's largest city, Shanghai, remain locked down this evening, 353 00:19:18,737 --> 00:19:21,497 Speaker 1: despite the fact that brutal public health measures aren't working. 354 00:19:22,057 --> 00:19:24,937 Speaker 1: What exactly is the Chinese Communist Party trying to achieve here? 355 00:19:24,977 --> 00:19:28,337 Speaker 1: Independent journalist Jordan Shacktell has some theories. They'll join us next. 356 00:19:28,857 --> 00:19:31,537 Speaker 1: Let's talk about protecting your most viable asset, your home. Look, 357 00:19:31,537 --> 00:19:33,857 Speaker 1: I'm skeptical, so when I started hearing about home title theft, 358 00:19:33,857 --> 00:19:36,537 Speaker 1: I figured, how is that even possible. Some cyber thief 359 00:19:36,577 --> 00:19:39,097 Speaker 1: forges your signature and a quick claim deed and acts 360 00:19:39,097 --> 00:19:40,697 Speaker 1: like they're the new owner of your home, takes out 361 00:19:40,737 --> 00:19:43,897 Speaker 1: loans against a home that they pretend to own. Yeah, 362 00:19:43,937 --> 00:19:47,017 Speaker 1: that's actually how it goes. The FBI says, this crime 363 00:19:47,097 --> 00:19:49,937 Speaker 1: is growing rapidly. That's why you need home title lock. 364 00:19:50,017 --> 00:19:52,097 Speaker 1: Home title lock has earned my trust. They put a 365 00:19:52,177 --> 00:19:55,097 Speaker 1: virtual barrier around your home's title, and the instant anyone's 366 00:19:55,137 --> 00:19:57,377 Speaker 1: messing with it, they shut it down. Look, here's what 367 00:19:57,417 --> 00:19:59,457 Speaker 1: you gotta do. Go to home title loock dot com 368 00:19:59,617 --> 00:20:02,537 Speaker 1: and read the testimonials from FBI agents and government officials 369 00:20:02,537 --> 00:20:04,857 Speaker 1: about how easy this crime is, how rampid this crime is. 370 00:20:05,137 --> 00:20:07,577 Speaker 1: Number two, register your home address to see if you're 371 00:20:07,577 --> 00:20:09,297 Speaker 1: already a victim and don't even know it. When you 372 00:20:09,337 --> 00:20:11,457 Speaker 1: protect your home, tell him Buck Sexton sent you to 373 00:20:11,497 --> 00:20:14,457 Speaker 1: get the listener discount home titlelock dot com. Again, that's 374 00:20:14,497 --> 00:20:18,337 Speaker 1: home titlelock dot com. Jordan Shacktel stops by in a moment. 375 00:20:24,697 --> 00:20:27,777 Speaker 1: Despite the world's most harsh lockdown in the city of Shanghai. 376 00:20:27,777 --> 00:20:30,377 Speaker 1: The public health measures don't appear to be having the 377 00:20:30,377 --> 00:20:34,657 Speaker 1: intended effect, not a surprise. According to report from Reuters, 378 00:20:34,777 --> 00:20:38,257 Speaker 1: China's financial hubs Shanghai reported over twenty seven thousand coronavirus 379 00:20:38,297 --> 00:20:41,417 Speaker 1: cases on Thursday, a new high. This comes a day 380 00:20:41,457 --> 00:20:44,897 Speaker 1: after President Shi Jinping said the country must continue with 381 00:20:44,937 --> 00:20:49,257 Speaker 1: its strict dynamic COVID clearance policy and pandemic control measures. 382 00:20:49,737 --> 00:20:51,697 Speaker 1: So what have we learned from this? Lockdowns are an 383 00:20:51,697 --> 00:20:53,617 Speaker 1: ineffective way to slow the spread of a virus and 384 00:20:53,737 --> 00:20:56,937 Speaker 1: ultimately have unintended consequences, which is the same thing we've 385 00:20:56,937 --> 00:21:00,057 Speaker 1: been learning for the past two years. Of course, joy 386 00:21:00,097 --> 00:21:03,497 Speaker 1: mean how to discuss is independent journalist Jordan Shacktel. You 387 00:21:03,537 --> 00:21:06,097 Speaker 1: can follow him at Jordan Shacktel on Twitter. Jordan, what's 388 00:21:06,137 --> 00:21:10,297 Speaker 1: going on? Are you doing? It's stick with you. I'm 389 00:21:10,297 --> 00:21:11,897 Speaker 1: good man, good to see you. You You know you wrote 390 00:21:11,937 --> 00:21:15,737 Speaker 1: on your substack about the Shanghai lockdowns, writing that Chinese 391 00:21:15,777 --> 00:21:19,657 Speaker 1: authorities became convinced that their Wuhan lockdown actually worked and 392 00:21:19,697 --> 00:21:22,697 Speaker 1: then an aggressive level of nationalistic superiority was the reason 393 00:21:22,817 --> 00:21:25,097 Speaker 1: China justifies its position as the only country in the 394 00:21:25,137 --> 00:21:29,337 Speaker 1: world to eliminate the virus through lockdowns. Now, looking at 395 00:21:29,377 --> 00:21:31,457 Speaker 1: the record numbers of COVID cases in Shanghai, we know 396 00:21:31,537 --> 00:21:34,977 Speaker 1: that's just not true. Was this just more Chinese propaganda 397 00:21:35,017 --> 00:21:37,377 Speaker 1: they were trying to push at the time, I mean, Jordan, 398 00:21:38,017 --> 00:21:40,057 Speaker 1: honest question, what the hell do they think they're doing? 399 00:21:40,177 --> 00:21:43,137 Speaker 1: And like we know that two weeks people who seemed 400 00:21:43,137 --> 00:21:45,617 Speaker 1: to have forgotten two weeks was all about hospital capacity. 401 00:21:45,617 --> 00:21:47,977 Speaker 1: In the beginning, we gotta let our hospitals get enough 402 00:21:48,017 --> 00:21:50,497 Speaker 1: masks and ventilators lined up, and then we were just 403 00:21:50,537 --> 00:21:52,537 Speaker 1: gonna go about our lives. Of course, then they kept 404 00:21:52,537 --> 00:21:55,537 Speaker 1: extending and extending other measures. What's the China what's the 405 00:21:55,537 --> 00:22:01,577 Speaker 1: Shanghai plan here? That's a million dollar question or in 406 00:22:01,617 --> 00:22:04,697 Speaker 1: this economy, and the billion and trillion and quadrillion dollar 407 00:22:04,777 --> 00:22:09,057 Speaker 1: question is is what is the motive behind the craziness 408 00:22:09,057 --> 00:22:12,537 Speaker 1: going on chang Hi. They're locking down, a hard lockdown, 409 00:22:12,617 --> 00:22:16,817 Speaker 1: like bolting people into their houses and not allowing freedom 410 00:22:16,817 --> 00:22:20,977 Speaker 1: of movement whatsoever. Thirty million people trapped behind this new 411 00:22:21,177 --> 00:22:24,857 Speaker 1: COVID mania society in Shanghai. And I wrote a piece 412 00:22:24,857 --> 00:22:27,697 Speaker 1: of dossiergot substat dot com and kind of laid out 413 00:22:27,817 --> 00:22:30,937 Speaker 1: what the potential motives could be behind this. So while 414 00:22:30,977 --> 00:22:33,217 Speaker 1: some people might believe it's like this kind of nationalist 415 00:22:33,297 --> 00:22:36,777 Speaker 1: a cubists that they can shut down a virus, which 416 00:22:36,857 --> 00:22:40,177 Speaker 1: is like literally impossible, and lockdowns, you know, have been 417 00:22:40,177 --> 00:22:42,817 Speaker 1: tried over a hundred countries failed and every single time 418 00:22:42,817 --> 00:22:45,377 Speaker 1: they were tried. Some people think this might be some 419 00:22:45,497 --> 00:22:48,457 Speaker 1: type of like info out to kind of host the 420 00:22:48,537 --> 00:22:52,497 Speaker 1: West into locking down and just detonating their economies again, 421 00:22:53,057 --> 00:22:55,777 Speaker 1: but I mean, the lockdowns are not going to work 422 00:22:55,857 --> 00:22:58,497 Speaker 1: to stop the spread of a virus, So what is 423 00:22:58,577 --> 00:23:03,617 Speaker 1: the endgame here? We're seeing reports of starvation, horrific human 424 00:23:03,697 --> 00:23:07,057 Speaker 1: rights atrocities. They have these like quarantine camps that are 425 00:23:07,177 --> 00:23:11,017 Speaker 1: that are popping up throughout Shanghai who are being hauled 426 00:23:11,017 --> 00:23:13,417 Speaker 1: off if they test positive and then have to stay 427 00:23:13,457 --> 00:23:17,177 Speaker 1: there for an indefinite period of time. It's really a 428 00:23:17,337 --> 00:23:22,017 Speaker 1: human rights tragedy on an unbelievable level. And that's the 429 00:23:22,057 --> 00:23:24,497 Speaker 1: way I think it should be framed instead about you know, 430 00:23:24,537 --> 00:23:29,297 Speaker 1: we're doing public health nonsense. That it's really just a 431 00:23:29,537 --> 00:23:33,057 Speaker 1: total depravity that the Chinese Communist Party is has become. 432 00:23:33,097 --> 00:23:36,137 Speaker 1: It might be a completely unhinged and they seem to 433 00:23:36,137 --> 00:23:38,137 Speaker 1: have like their backs against the wall, thinking that they 434 00:23:38,137 --> 00:23:42,817 Speaker 1: can do the impossible. So there's no element of individual 435 00:23:42,897 --> 00:23:47,137 Speaker 1: liberty that they'll ever really acknowledge. So they're just doubling, tripling, 436 00:23:47,337 --> 00:23:50,937 Speaker 1: quadrupling down on the madness. Right now, at a recent 437 00:23:50,977 --> 00:23:54,777 Speaker 1: news conference, we have Lee zen Long, Deputy Director of 438 00:23:54,857 --> 00:23:58,177 Speaker 1: Disease Control National Health Commission in China, addressing the people 439 00:23:58,177 --> 00:24:00,937 Speaker 1: of Shanghai, stating in the city of Shanghai, for eight 440 00:24:00,937 --> 00:24:03,577 Speaker 1: consecutive days, there have been over ten thousand new infected 441 00:24:03,617 --> 00:24:06,817 Speaker 1: cases reported. The epidemic is in a period of rapid growth. 442 00:24:07,137 --> 00:24:10,137 Speaker 1: Community transmission has not been effectively contained and spilled over 443 00:24:10,217 --> 00:24:12,937 Speaker 1: into multiple prominences and cities. We are still faced with 444 00:24:12,977 --> 00:24:15,737 Speaker 1: grim and complicated challenges in the fight against the epidemic. 445 00:24:16,257 --> 00:24:18,137 Speaker 1: I mean, I think this is first of all, I 446 00:24:18,137 --> 00:24:20,737 Speaker 1: mean it's horrific and it's scary because I really do 447 00:24:20,777 --> 00:24:22,857 Speaker 1: believe that people like Fauci see this and think wow, 448 00:24:22,977 --> 00:24:25,777 Speaker 1: China takes the virus seriously instead of wow, China is 449 00:24:25,817 --> 00:24:27,857 Speaker 1: completely out of its mind. This is a human rights 450 00:24:27,897 --> 00:24:31,457 Speaker 1: violation on a scale of tens of millions of people. 451 00:24:33,657 --> 00:24:37,817 Speaker 1: What exactly if it's not If this doesn't work, what 452 00:24:37,897 --> 00:24:40,217 Speaker 1: are the Chinese think they're gonna do next. I mean, 453 00:24:40,257 --> 00:24:43,217 Speaker 1: they're literally not letting people leave their homes, millions and 454 00:24:43,257 --> 00:24:47,457 Speaker 1: millions of them. This is what happens when you have 455 00:24:47,497 --> 00:24:53,257 Speaker 1: a government that's grounded in this broken communist slash corporatist 456 00:24:53,417 --> 00:24:58,737 Speaker 1: olaguard philosophy that they just don't care about people's rights. 457 00:24:58,817 --> 00:25:00,737 Speaker 1: I mean, if you look at the history of communism, 458 00:25:00,857 --> 00:25:06,017 Speaker 1: is led to mass death and starvation and other horrible tragedies. 459 00:25:06,017 --> 00:25:09,937 Speaker 1: And I hope that this isn't another incident on even 460 00:25:10,137 --> 00:25:13,497 Speaker 1: the scale of the population of Shanghai where we're going 461 00:25:13,537 --> 00:25:15,977 Speaker 1: to see something horrible happen. But you know, according to 462 00:25:16,017 --> 00:25:19,577 Speaker 1: these initial reports of these testimonies that we're seeing kind 463 00:25:19,617 --> 00:25:23,457 Speaker 1: of leaking out of the Great Firewall in China for 464 00:25:23,537 --> 00:25:26,657 Speaker 1: the Internet, it seems that things are getting really bad. 465 00:25:26,697 --> 00:25:29,737 Speaker 1: So China's going to have to make a decision. They're 466 00:25:29,737 --> 00:25:34,817 Speaker 1: going to have to either abandon this COVID zero fanaticism 467 00:25:35,057 --> 00:25:40,137 Speaker 1: or they're going to participate in a mass human atrocity. 468 00:25:40,417 --> 00:25:42,777 Speaker 1: And it's very sad to see because you know, on 469 00:25:43,137 --> 00:25:47,417 Speaker 1: a human level, there's been so many people in the 470 00:25:47,537 --> 00:25:50,857 Speaker 1: United States in like, you know, this whole corporate enterprise 471 00:25:50,977 --> 00:25:54,217 Speaker 1: world that have been telling us to model ourselves utter China. 472 00:25:54,617 --> 00:25:57,697 Speaker 1: Same thing with these public so called public health experts 473 00:25:57,697 --> 00:25:59,377 Speaker 1: that have been telling us that, oh, China is doing 474 00:25:59,377 --> 00:26:02,177 Speaker 1: everything right. Well here we're seeing. What we're seeing in 475 00:26:02,217 --> 00:26:07,017 Speaker 1: Shanghai is a complete atrocity, complete tragedy, and it should 476 00:26:07,137 --> 00:26:09,257 Speaker 1: I hope it wakes a lot of people up into 477 00:26:09,417 --> 00:26:12,057 Speaker 1: the horror that can come from a top down to 478 00:26:12,177 --> 00:26:14,657 Speaker 1: radical society, like what you're seeing in China right now. 479 00:26:14,817 --> 00:26:18,417 Speaker 1: And can I just add to this Jordan that if 480 00:26:18,457 --> 00:26:22,577 Speaker 1: what China is doing, which is a true lockdown, I'm 481 00:26:22,657 --> 00:26:25,217 Speaker 1: like a prison lockdown, which is where the term comes from. 482 00:26:25,457 --> 00:26:27,337 Speaker 1: You cannot leave your cell and this gives your cell 483 00:26:27,377 --> 00:26:31,257 Speaker 1: as your home, any circumstances, buying food, nothing, You have 484 00:26:31,297 --> 00:26:33,537 Speaker 1: to stay in your home for weeks on end. If 485 00:26:33,657 --> 00:26:37,937 Speaker 1: that doesn't effectively stop the spread of this virus, they've 486 00:26:37,937 --> 00:26:40,177 Speaker 1: got what they said ten thousand, I've seen it's more 487 00:26:40,217 --> 00:26:42,817 Speaker 1: like twenty five thousand cases a day in Shanghai, new 488 00:26:42,857 --> 00:26:47,057 Speaker 1: cases every day. How could we ever think that what 489 00:26:47,097 --> 00:26:49,857 Speaker 1: we did in America, which was you know, basically shut 490 00:26:49,857 --> 00:26:52,177 Speaker 1: down restaurants for a little bit, but other people still 491 00:26:52,177 --> 00:26:54,417 Speaker 1: go to work, But other people still gather in places 492 00:26:54,777 --> 00:26:57,337 Speaker 1: had any effect whatsoever on the spread of the virus. 493 00:26:57,857 --> 00:27:00,737 Speaker 1: To me, it just shows if the China lockdown doesn't work, 494 00:27:00,857 --> 00:27:06,657 Speaker 1: the American version was a complete joke. Yeah, that's the 495 00:27:06,697 --> 00:27:09,057 Speaker 1: thing is that what worries me is that you know, 496 00:27:09,097 --> 00:27:12,937 Speaker 1: they're going full on Yang style here, and if they 497 00:27:13,057 --> 00:27:16,017 Speaker 1: manipulate the numbers again like they did the last time, 498 00:27:16,417 --> 00:27:19,017 Speaker 1: they'll essentially their message to the West, like what we 499 00:27:19,057 --> 00:27:21,257 Speaker 1: saw Muhan was like, oh, the lockdowns work, and if 500 00:27:21,337 --> 00:27:23,297 Speaker 1: you guys can't do it as well of us, you 501 00:27:23,297 --> 00:27:26,537 Speaker 1: know that's because China's superior to you. So I hope 502 00:27:26,577 --> 00:27:29,497 Speaker 1: people don't get baited into another type of like infoof 503 00:27:29,617 --> 00:27:34,257 Speaker 1: situation where China manipulates its numbers claims to have zero cases, 504 00:27:34,257 --> 00:27:36,657 Speaker 1: even though we know that's basically impossible. They've been claiming 505 00:27:36,657 --> 00:27:38,657 Speaker 1: that for two years that they've had no COVID cases. 506 00:27:39,017 --> 00:27:41,537 Speaker 1: So I think that's the big worries that people like 507 00:27:41,657 --> 00:27:44,737 Speaker 1: Fauci and the public health establishment are going to attempt 508 00:27:44,777 --> 00:27:47,737 Speaker 1: something like this, Maybe not on the craziness of the 509 00:27:47,897 --> 00:27:50,137 Speaker 1: level that they're at in Shanghai, but I think they're 510 00:27:50,137 --> 00:27:51,977 Speaker 1: certainly going to try to attempt something like that. So 511 00:27:52,017 --> 00:27:54,497 Speaker 1: people have to be keep an eye out and be 512 00:27:54,617 --> 00:27:57,657 Speaker 1: very skeptical about China's numbers. I hope they end the lockdowns, 513 00:27:57,657 --> 00:27:59,657 Speaker 1: and I don't care what type of propaganda they use 514 00:27:59,977 --> 00:28:02,897 Speaker 1: to end them, but we should not, absolutely not adopt 515 00:28:02,977 --> 00:28:07,017 Speaker 1: this insanity. By the way, going into the midterms this fall, 516 00:28:07,657 --> 00:28:09,737 Speaker 1: do you think that Blue states back here in America 517 00:28:09,857 --> 00:28:13,577 Speaker 1: are going to try to ramp up these restrictions again 518 00:28:14,337 --> 00:28:17,057 Speaker 1: or do they recognize even if they don't admit that 519 00:28:17,057 --> 00:28:20,617 Speaker 1: that does nothing, that it's politically not gonna fly anymore. 520 00:28:22,977 --> 00:28:25,497 Speaker 1: Who knows, you know, when you introduce this fear element, 521 00:28:25,657 --> 00:28:30,617 Speaker 1: especially like these these sheep that have been quintuple vaccinated, 522 00:28:30,657 --> 00:28:32,817 Speaker 1: I think they'll just do anything that the government tells 523 00:28:32,857 --> 00:28:36,137 Speaker 1: them to do. You've already seen in Philly they're restoring 524 00:28:36,217 --> 00:28:39,097 Speaker 1: the indoor mask mandate. I know that there's still a 525 00:28:39,137 --> 00:28:42,177 Speaker 1: lot of maskers all throughout the Blue states that wear 526 00:28:42,257 --> 00:28:48,297 Speaker 1: masses outdoors to sport their new religious cloth item. It's 527 00:28:48,377 --> 00:28:50,057 Speaker 1: very difficult to tell. What I can tell you is 528 00:28:50,057 --> 00:28:52,217 Speaker 1: that here in Florida there's absolutely no way, and I'm 529 00:28:52,337 --> 00:28:54,657 Speaker 1: very happy about that, and you know, thank goodness, we 530 00:28:54,737 --> 00:28:56,857 Speaker 1: have are on the sand us here. But for the 531 00:28:56,897 --> 00:28:59,897 Speaker 1: mid terms, I would expect some political action relating to 532 00:28:59,897 --> 00:29:02,617 Speaker 1: the coronavirus. They love the mail and ballad stuff, so 533 00:29:02,857 --> 00:29:04,657 Speaker 1: you know, if there's a scary virus out there, it's 534 00:29:04,657 --> 00:29:08,377 Speaker 1: another good reason to kind of manipulate the system and 535 00:29:08,497 --> 00:29:13,497 Speaker 1: make it more difficult to Jordan Chacked. Hell. Good you see, Sarah, 536 00:29:13,537 --> 00:29:18,977 Speaker 1: Thanks for being with us. It looks like high prices, 537 00:29:19,097 --> 00:29:21,337 Speaker 1: prices and out of control inflation are taking a heavy 538 00:29:21,337 --> 00:29:24,697 Speaker 1: toll on Joe Biden's popularity. New poll showing only thirty 539 00:29:24,697 --> 00:29:27,657 Speaker 1: three percent of American adults approved of the president's job performance. 540 00:29:28,177 --> 00:29:30,697 Speaker 1: We come back. The founder of the Douglass Society and 541 00:29:30,737 --> 00:29:32,657 Speaker 1: first TV contributor to Rob Smith is going to help 542 00:29:32,737 --> 00:29:34,777 Speaker 1: us break down the latest numbers. Right now, I want 543 00:29:34,777 --> 00:29:36,217 Speaker 1: to tell you about our new responsor to hold the 544 00:29:36,217 --> 00:29:37,977 Speaker 1: wine the Silencer Shop. I'm a big support of the 545 00:29:38,017 --> 00:29:39,817 Speaker 1: Second Amendment, as you know, and for many gun owners 546 00:29:39,897 --> 00:29:42,537 Speaker 1: using a suppressors and must it protects your hearing and 547 00:29:42,577 --> 00:29:45,297 Speaker 1: they improve accuracy because it minimizes recoil. It's also just 548 00:29:45,297 --> 00:29:48,217 Speaker 1: a more comfortable shooting experience. 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On trust Pilot, souncer Shop 557 00:30:09,497 --> 00:30:11,377 Speaker 1: has an average ranking of four point nine out of 558 00:30:11,417 --> 00:30:14,057 Speaker 1: five stars based on over twenty five thousand reviews. You 559 00:30:14,057 --> 00:30:17,337 Speaker 1: can trust these guys. Get more details online at Soundsershop 560 00:30:17,457 --> 00:30:20,777 Speaker 1: dot com or on Instagram at Instagram dot com slash 561 00:30:20,937 --> 00:30:25,177 Speaker 1: Silencershop Shop Now Silencershop dot com will be right back 562 00:30:25,257 --> 00:30:34,297 Speaker 1: with more all the line. It looks like high inflation 563 00:30:34,377 --> 00:30:36,657 Speaker 1: and the rising cost of goods is catching up to 564 00:30:36,737 --> 00:30:40,337 Speaker 1: President Joe Biden. A new pole from Quinnipiac University shows 565 00:30:40,337 --> 00:30:42,657 Speaker 1: that just thirty three percent of US adults approve of 566 00:30:42,697 --> 00:30:45,257 Speaker 1: the way Joe Biden is handling his job, while fifty 567 00:30:45,297 --> 00:30:49,097 Speaker 1: five percent disapprove of his performance. President's approval number is 568 00:30:49,137 --> 00:30:52,097 Speaker 1: down seventeen points from its high of fifty percent back 569 00:30:52,097 --> 00:30:55,257 Speaker 1: in March of twenty twenty one. Despite the White House's 570 00:30:55,297 --> 00:30:57,577 Speaker 1: best efforts, it looks like the American people have decided 571 00:30:57,617 --> 00:31:00,497 Speaker 1: that the President of the United States is responsible for 572 00:31:00,617 --> 00:31:02,817 Speaker 1: what's going on here with the economy and not actually 573 00:31:02,857 --> 00:31:05,617 Speaker 1: find reputin. Joining me now to help break down some 574 00:31:05,697 --> 00:31:08,617 Speaker 1: latest numbers and more. His first TV contributor and founder 575 00:31:08,777 --> 00:31:13,777 Speaker 1: of the Douglass Society, mister Rob Smith. Rob, what's up, hey, Bud? 576 00:31:13,817 --> 00:31:16,817 Speaker 1: How's it going? I wonder, like, so, can I just 577 00:31:16,857 --> 00:31:20,017 Speaker 1: tell you my theory? I sure, I feel like maybe 578 00:31:20,137 --> 00:31:24,257 Speaker 1: Biden is bottoming out at the right time. I mean, 579 00:31:24,297 --> 00:31:26,057 Speaker 1: I don't know how else this thing. Think about this. 580 00:31:26,617 --> 00:31:29,617 Speaker 1: It's so bad right now by the numbers, by the 581 00:31:29,657 --> 00:31:32,337 Speaker 1: polls that it almost has to get a little better 582 00:31:32,377 --> 00:31:34,777 Speaker 1: going into the fall, and so maybe they'll be the 583 00:31:34,857 --> 00:31:37,857 Speaker 1: slightest bit of momentum in the direction. Or do you 584 00:31:37,897 --> 00:31:39,657 Speaker 1: think it could actually get worse? Because I talked to 585 00:31:39,737 --> 00:31:41,177 Speaker 1: Clay about this today, He's like, no, I think it 586 00:31:41,177 --> 00:31:44,137 Speaker 1: could get worse. No, Look, I think you can get 587 00:31:44,137 --> 00:31:46,777 Speaker 1: worse too. And you know, by the right time bottoming out, 588 00:31:46,817 --> 00:31:49,017 Speaker 1: it's certainly not the right time for Americans who's been 589 00:31:49,057 --> 00:31:52,577 Speaker 1: suffering through this. It's oh, it's been less than eighteen months. 590 00:31:52,257 --> 00:31:55,377 Speaker 1: That's That's the craziest thing. When I really think about this, 591 00:31:55,817 --> 00:31:57,777 Speaker 1: and you know what I think about a lot is 592 00:31:57,817 --> 00:32:01,377 Speaker 1: I think about kind of the juxtaposition between Biden and Obama. 593 00:32:01,537 --> 00:32:04,537 Speaker 1: I was a liberal during the Obama years, but I 594 00:32:04,617 --> 00:32:06,857 Speaker 1: wasn't quite paying too much attention to what was going on. 595 00:32:07,137 --> 00:32:09,817 Speaker 1: And I think the difference between this the easiers and 596 00:32:09,857 --> 00:32:12,457 Speaker 1: though those years is that then you really at least 597 00:32:12,497 --> 00:32:14,657 Speaker 1: had somebody that could go out and sell this. You 598 00:32:14,697 --> 00:32:18,017 Speaker 1: had somebody that it was very easy for the entertainment 599 00:32:18,057 --> 00:32:20,377 Speaker 1: industry in Hollywood and all of that stuff to sell 600 00:32:20,457 --> 00:32:24,217 Speaker 1: this fairly charismatic figure who was destroying the country at 601 00:32:24,217 --> 00:32:26,737 Speaker 1: that time. But now you have Joe Biden and Kamala 602 00:32:26,737 --> 00:32:30,097 Speaker 1: Harris who are not charismatic, who are not beloved by 603 00:32:30,137 --> 00:32:33,817 Speaker 1: Hollywood or the media or any of the usual suspects 604 00:32:33,817 --> 00:32:36,497 Speaker 1: that kind of prop these people up. And so I 605 00:32:36,577 --> 00:32:39,577 Speaker 1: think that the general public is just more open to 606 00:32:39,697 --> 00:32:44,137 Speaker 1: seeing the failures, and furthermore, the failures are just right 607 00:32:44,217 --> 00:32:47,577 Speaker 1: in front of our faces at all time. Everybody can 608 00:32:47,657 --> 00:32:50,657 Speaker 1: see inflation. I can see you can see it. We 609 00:32:50,777 --> 00:32:52,377 Speaker 1: see it at the gas pump, we see it at 610 00:32:52,417 --> 00:32:55,217 Speaker 1: the grocery stores. So we see all of these things, 611 00:32:55,537 --> 00:32:58,777 Speaker 1: and there's also something that the mainstream media cannot hide, 612 00:32:59,057 --> 00:33:02,137 Speaker 1: and that is video after video after video that goes 613 00:33:02,257 --> 00:33:04,577 Speaker 1: kind of semi viral on Twitter, on the Internet of 614 00:33:04,697 --> 00:33:07,497 Speaker 1: Joe Biden looking confused, looking like he doesn't know where 615 00:33:07,537 --> 00:33:11,257 Speaker 1: he's at, you know, not the able to read the teleprompter, 616 00:33:11,777 --> 00:33:14,497 Speaker 1: you know, saying words that are not words. So we 617 00:33:14,657 --> 00:33:17,697 Speaker 1: see all of these things, and it is not instilling 618 00:33:17,857 --> 00:33:21,137 Speaker 1: confidence in the American people that we have a strong 619 00:33:21,337 --> 00:33:24,377 Speaker 1: leader in charge right now. I wanted to take a 620 00:33:24,377 --> 00:33:26,457 Speaker 1: look at this one, Rob and just tell me what 621 00:33:26,617 --> 00:33:29,177 Speaker 1: you see here in terms of how you think this 622 00:33:29,257 --> 00:33:32,737 Speaker 1: breakdown is happening. Are young people turning on Biden? This 623 00:33:32,817 --> 00:33:35,377 Speaker 1: is approval by age group eighteen to thirty four yelds 624 00:33:35,377 --> 00:33:37,977 Speaker 1: only twenty one percent. You see, the older you get, 625 00:33:38,857 --> 00:33:42,697 Speaker 1: the better Biden's approval seems to get, which seems a 626 00:33:42,737 --> 00:33:46,137 Speaker 1: little bit strange. Why are those eighteen to thirty fours 627 00:33:46,137 --> 00:33:49,537 Speaker 1: And obviously that's including a lot of Democrats so anti Biden. 628 00:33:49,537 --> 00:33:51,617 Speaker 1: I mean, do you think it's just because I mean, 629 00:33:51,777 --> 00:33:53,457 Speaker 1: I've got a theory. I'll throw this out to you. 630 00:33:54,697 --> 00:33:56,777 Speaker 1: There are people who are too old for the jobs 631 00:33:56,777 --> 00:33:59,577 Speaker 1: that they have now in politics, right, Diane Feinstein. There's 632 00:33:59,577 --> 00:34:02,737 Speaker 1: apparently stories going around now that she's literally incapable of 633 00:34:02,737 --> 00:34:05,257 Speaker 1: doing her job in the Senate, and her staffers essentially 634 00:34:05,297 --> 00:34:09,257 Speaker 1: do every like, actually do everything, and she's just a figurehead. 635 00:34:09,257 --> 00:34:13,497 Speaker 1: I mean, she's almost nonfunctional in that role. I mean, 636 00:34:13,617 --> 00:34:17,737 Speaker 1: Joe Biden's like, you know, dotting around, looks confused. It's 637 00:34:17,817 --> 00:34:19,777 Speaker 1: it's gotten. I think the younger people are saying, this 638 00:34:19,857 --> 00:34:21,537 Speaker 1: is weird. Do you think do you think that's part 639 00:34:21,537 --> 00:34:23,657 Speaker 1: of it or what's going on in here? You know, 640 00:34:23,737 --> 00:34:25,137 Speaker 1: I do think that that's part of it. And the 641 00:34:25,177 --> 00:34:27,857 Speaker 1: Finstein's story is very interesting. I tweeted out about that earlier. 642 00:34:27,897 --> 00:34:30,217 Speaker 1: It is when it's eighty eight years old. So we 643 00:34:30,297 --> 00:34:33,337 Speaker 1: really need to start thinking about term limits, and we 644 00:34:33,377 --> 00:34:37,177 Speaker 1: also really need to start thinking honestly about the ages 645 00:34:37,217 --> 00:34:40,257 Speaker 1: of people that we are, you know, putting in positions 646 00:34:40,257 --> 00:34:43,057 Speaker 1: to be the highest power in the land. But that 647 00:34:43,177 --> 00:34:46,457 Speaker 1: was the first time that I've seen that particular pole 648 00:34:46,617 --> 00:34:49,777 Speaker 1: is very interesting to me because younger people are generally 649 00:34:49,817 --> 00:34:52,937 Speaker 1: the ones the most acceptable and most open to the 650 00:34:52,977 --> 00:34:57,537 Speaker 1: Democrat Party propaganda, which, like I said, um goes through Hollywood, 651 00:34:57,537 --> 00:35:01,017 Speaker 1: goes through music, goes through entertainment. It was very easy 652 00:35:01,257 --> 00:35:03,577 Speaker 1: for them to sort of push some of these people 653 00:35:03,617 --> 00:35:06,377 Speaker 1: on younger people in the past when they were, like 654 00:35:06,377 --> 00:35:08,857 Speaker 1: I said, good enough to sell it. Joe Biden is 655 00:35:08,857 --> 00:35:11,657 Speaker 1: not good enough to sell this. He's angry, he's mean, 656 00:35:11,897 --> 00:35:15,377 Speaker 1: he's a confused old man, and younger people are going 657 00:35:15,417 --> 00:35:18,897 Speaker 1: to be looking at this saying this, ain't it. And also, 658 00:35:18,977 --> 00:35:22,497 Speaker 1: even though these younger people aren't is affected by the economy, 659 00:35:22,537 --> 00:35:26,817 Speaker 1: inflation and gas prices as the older cohorts in that poll, 660 00:35:27,177 --> 00:35:29,537 Speaker 1: they still see some of these things. And I think 661 00:35:29,537 --> 00:35:31,857 Speaker 1: that for some of those younger people as well, the 662 00:35:31,897 --> 00:35:34,337 Speaker 1: progressives are complaining a lot about Biden that he did 663 00:35:34,337 --> 00:35:36,497 Speaker 1: not follow through on promises when it comes to things 664 00:35:36,497 --> 00:35:40,577 Speaker 1: like student loan debt, forgiveness, in climate issues and all 665 00:35:40,617 --> 00:35:43,177 Speaker 1: of that stuff. Now, those are things that younger people, 666 00:35:43,297 --> 00:35:46,977 Speaker 1: Democrats and progressives especially believe in, and they are seeing 667 00:35:47,057 --> 00:35:49,737 Speaker 1: Joe Biden as not following through on these things. So 668 00:35:49,817 --> 00:35:51,857 Speaker 1: that may have something to do with some of these 669 00:35:52,097 --> 00:35:56,417 Speaker 1: lower approval rates among that cohort. Another really interesting data 670 00:35:56,497 --> 00:36:00,377 Speaker 1: set from within this Gonna piac Pole rob was Biden 671 00:36:00,497 --> 00:36:06,137 Speaker 1: doing worst among Hispanics, his support among white people was 672 00:36:06,177 --> 00:36:11,457 Speaker 1: thirty one percent, Black people sixty three Hispanics twenty six percent. 673 00:36:12,177 --> 00:36:15,857 Speaker 1: What do you think is driving that? Okay, So here's 674 00:36:15,857 --> 00:36:19,097 Speaker 1: the thing. Democrats and the left have this idea that 675 00:36:19,377 --> 00:36:23,417 Speaker 1: every Latino voter or every Hispanic voter has a lot 676 00:36:23,497 --> 00:36:26,057 Speaker 1: in common with these illegal immigrants that they're trying to 677 00:36:26,097 --> 00:36:29,257 Speaker 1: push across the border and sell socialism too. Right, that 678 00:36:29,417 --> 00:36:31,817 Speaker 1: is a fundamental miscalculation. You want to talk to some 679 00:36:31,897 --> 00:36:35,457 Speaker 1: Cubans in Miami about about socialism and communism, how much 680 00:36:35,497 --> 00:36:38,537 Speaker 1: they ate it, and so they're the Hispanic community is 681 00:36:38,577 --> 00:36:41,657 Speaker 1: really rejecting these things. I think that what they're also 682 00:36:41,777 --> 00:36:44,297 Speaker 1: rejecting is the wokeness that we talk a lot about 683 00:36:44,337 --> 00:36:47,337 Speaker 1: how woke the far left Democrats have gone in terms 684 00:36:47,337 --> 00:36:49,657 Speaker 1: of African Americans with the BLM stuff and all that, 685 00:36:49,937 --> 00:36:52,897 Speaker 1: But when it comes to Hispanics and Latinos, they want 686 00:36:52,897 --> 00:36:54,777 Speaker 1: to kind of redefine their language. They want to say 687 00:36:54,857 --> 00:36:57,377 Speaker 1: Latin X, and they want to say all of these 688 00:36:57,417 --> 00:37:00,897 Speaker 1: things that are not ways in which Hispanic and Latino 689 00:37:00,937 --> 00:37:06,257 Speaker 1: Americans speak outside of far left wing Latino activists on Twitter. 690 00:37:06,617 --> 00:37:09,417 Speaker 1: So I think Hispanics are seeing these things they seem 691 00:37:09,497 --> 00:37:13,137 Speaker 1: to sort of fundamental betrayal of the values that they 692 00:37:13,217 --> 00:37:16,537 Speaker 1: hold dear by the let and it's really turning them away. 693 00:37:16,857 --> 00:37:19,297 Speaker 1: Do I think that it's sending them into the arms 694 00:37:19,297 --> 00:37:22,857 Speaker 1: of Republicans. I'm not entirely sure that that's true, but 695 00:37:22,937 --> 00:37:26,097 Speaker 1: I know that Democrats are really really missing the boat 696 00:37:26,217 --> 00:37:29,817 Speaker 1: on Hispanics right now. And there's a real opportunity for 697 00:37:29,897 --> 00:37:33,657 Speaker 1: conservatives and Republicans to go to this community, to speak 698 00:37:33,697 --> 00:37:37,937 Speaker 1: to them like Americans, like human beings, and just put 699 00:37:38,057 --> 00:37:41,297 Speaker 1: facts on the table instead of all of this woke 700 00:37:41,457 --> 00:37:44,057 Speaker 1: far left pandering. They do not want to be called 701 00:37:44,137 --> 00:37:48,017 Speaker 1: Latin X. Nobody says that, Rob. You know, there's another 702 00:37:48,057 --> 00:37:49,857 Speaker 1: thing that they got that's a problem going into this 703 00:37:50,217 --> 00:37:54,257 Speaker 1: election cycle. Prices stuff, which you know, there's a lot 704 00:37:54,297 --> 00:37:56,337 Speaker 1: of spin you can do about things, right, Oh no, 705 00:37:56,617 --> 00:37:59,017 Speaker 1: the crimes not our fault. Oh no, the border is secure, 706 00:37:59,057 --> 00:38:00,777 Speaker 1: We're gonna make it better. You know, we're great on 707 00:38:00,817 --> 00:38:03,097 Speaker 1: foreign policy whatever. Right, The Democrat media is going to 708 00:38:03,137 --> 00:38:05,377 Speaker 1: say what they're gonna say. But when it comes to 709 00:38:05,697 --> 00:38:08,817 Speaker 1: things like gasoline price, the price of a used car, 710 00:38:09,137 --> 00:38:13,817 Speaker 1: the price of homes up forty eight percent on gasoline, 711 00:38:14,017 --> 00:38:16,297 Speaker 1: thirty five percent used cars, and well, once you get 712 00:38:16,297 --> 00:38:19,657 Speaker 1: into things like chicken, hamburger, meat, milk, you know, staples 713 00:38:19,657 --> 00:38:23,177 Speaker 1: that people in the American diet get at the grocery store, 714 00:38:23,617 --> 00:38:27,057 Speaker 1: all much more expensive, tough to spend that one, Rob. 715 00:38:27,097 --> 00:38:29,177 Speaker 1: I mean, I'm I'm are you seeing the red wave 716 00:38:29,217 --> 00:38:30,697 Speaker 1: coming to your buddy? Because I don't want to get 717 00:38:30,697 --> 00:38:32,977 Speaker 1: excited too soon, but I feel like often the distance, 718 00:38:33,017 --> 00:38:36,817 Speaker 1: there's this red wave gathering. You know, I do see it, 719 00:38:36,857 --> 00:38:40,097 Speaker 1: and you know, I always sort of I don't want 720 00:38:40,177 --> 00:38:43,417 Speaker 1: Republicans in conservatives to get sort of like too cocky 721 00:38:43,497 --> 00:38:48,257 Speaker 1: or two overconfident about this. But every single indicator that 722 00:38:48,297 --> 00:38:50,177 Speaker 1: we're seeing indicates that there is going to be a 723 00:38:50,217 --> 00:38:52,577 Speaker 1: red wave in Congress. But the question is when we 724 00:38:52,697 --> 00:38:55,417 Speaker 1: get this red wave in Congress, impossibly you take back 725 00:38:55,457 --> 00:38:59,137 Speaker 1: the Senate, are the people that we elect going to 726 00:38:59,177 --> 00:39:02,177 Speaker 1: actually wield this power in ways that are going to 727 00:39:02,297 --> 00:39:05,977 Speaker 1: make the lives of the average American any better? So 728 00:39:06,057 --> 00:39:08,337 Speaker 1: that's the question. I hope we do take back the 729 00:39:08,337 --> 00:39:10,977 Speaker 1: House in the Senate, but you know, people like you 730 00:39:11,097 --> 00:39:14,537 Speaker 1: and I and people that are out here, you know, commentators, etc. 731 00:39:15,097 --> 00:39:17,937 Speaker 1: We really need to start holding our side's feet to 732 00:39:17,977 --> 00:39:20,457 Speaker 1: the fire. Because I am old enough to remember when 733 00:39:20,497 --> 00:39:23,097 Speaker 1: we had the White House to send it and Congress 734 00:39:23,137 --> 00:39:27,217 Speaker 1: and did absolutely nothing but past a tax cut. I 735 00:39:27,297 --> 00:39:29,857 Speaker 1: remember that too, point Rob, Rob, thanks so much. Good 736 00:39:29,857 --> 00:39:34,537 Speaker 1: to see it. Thanks Bud. All right, coming up, Joy 737 00:39:34,617 --> 00:39:39,337 Speaker 1: Behar once again as demonstrated, demonstrated why The View is 738 00:39:39,377 --> 00:39:41,537 Speaker 1: the dumbest show on television. We'll have that video for 739 00:39:41,577 --> 00:39:43,537 Speaker 1: you coming up in quick hit. It's amazing, say with us. 740 00:39:49,497 --> 00:39:54,017 Speaker 1: Joy Behar proves once again that ABC's The View is 741 00:39:54,057 --> 00:39:57,177 Speaker 1: in fact the dumbest show on television. And new text 742 00:39:57,177 --> 00:40:00,217 Speaker 1: messages from Hunter Biden's laptops and jest he was kicking 743 00:40:00,297 --> 00:40:03,017 Speaker 1: up money to the big guy. We don't know who 744 00:40:03,057 --> 00:40:05,897 Speaker 1: that is, right, He kind of mutters and gets confused, 745 00:40:05,897 --> 00:40:09,817 Speaker 1: whereas Avia or sunglasses a lot God whispers for no reason. 746 00:40:10,377 --> 00:40:12,377 Speaker 1: We got those stories and quick heads. Let's get to it. 747 00:40:12,417 --> 00:40:14,897 Speaker 1: First of all, look, I mean, the View is amazing. 748 00:40:15,537 --> 00:40:17,017 Speaker 1: If you told me that I had to pick between 749 00:40:17,057 --> 00:40:19,337 Speaker 1: Brian's Delta on CNN or The View in terms of 750 00:40:19,457 --> 00:40:22,337 Speaker 1: content that the right can use to ridicule these stupid 751 00:40:22,337 --> 00:40:24,137 Speaker 1: ideas and many of the stupid people on the left, 752 00:40:24,577 --> 00:40:30,497 Speaker 1: it is tough. That is a challenging, challenging decision that 753 00:40:30,577 --> 00:40:33,857 Speaker 1: one might have to make, but this definitely pushes it 754 00:40:33,897 --> 00:40:36,697 Speaker 1: more in favor of the view and specifically Joy Behar, 755 00:40:37,297 --> 00:40:41,457 Speaker 1: who has somehow paid millions of dollars to say incredibly ignorant, 756 00:40:41,577 --> 00:40:46,457 Speaker 1: often vicious, and stupid things on television, on network television 757 00:40:46,577 --> 00:40:49,817 Speaker 1: for reasons that God knows why. And here she is. 758 00:40:49,857 --> 00:40:54,777 Speaker 1: Just if you're wondering, does Joy Behar have a fifth 759 00:40:54,897 --> 00:40:59,257 Speaker 1: or even fourth grade level Civics education, The answer is no. 760 00:40:59,617 --> 00:41:04,977 Speaker 1: Watch this chois to pass a bill contradicting the New 761 00:41:05,017 --> 00:41:08,457 Speaker 1: York City state laws. We have very strict gun laws here, 762 00:41:08,457 --> 00:41:10,337 Speaker 1: and they would like it to be a power because 763 00:41:10,377 --> 00:41:13,137 Speaker 1: somebody has put this on their desk that New York 764 00:41:13,177 --> 00:41:16,777 Speaker 1: should be an open carry state and an open carry city. 765 00:41:17,057 --> 00:41:19,177 Speaker 1: With all of the density in this city, they want 766 00:41:19,217 --> 00:41:22,217 Speaker 1: people running around with guns. People, middle class people will 767 00:41:22,257 --> 00:41:26,817 Speaker 1: be leaving in droves if that happen. The Supreme Court 768 00:41:27,537 --> 00:41:30,497 Speaker 1: is set to pass a bill, she says, And it 769 00:41:30,537 --> 00:41:34,537 Speaker 1: wasn't a moment of misspeaking. She says it and keeps 770 00:41:34,577 --> 00:41:39,297 Speaker 1: going because he thinks the Supreme Court passes bills. Apparently. Yeah, 771 00:41:39,337 --> 00:41:42,617 Speaker 1: and then I mean her second amendment. Her second amendment 772 00:41:43,017 --> 00:41:45,937 Speaker 1: assessment is hilarious. Yeah, all the middle class people will 773 00:41:45,977 --> 00:41:49,897 Speaker 1: leave if law biding people can legally have firearms. The 774 00:41:49,977 --> 00:41:52,297 Speaker 1: bad guys already have the guns. Joy hate to break 775 00:41:52,297 --> 00:41:54,177 Speaker 1: the news to you. The bad guys have the guns. 776 00:41:54,217 --> 00:41:55,897 Speaker 1: They're all over the place. There are lots of shootings 777 00:41:55,937 --> 00:41:59,577 Speaker 1: in New York City. So good guys having guns does 778 00:41:59,577 --> 00:42:04,217 Speaker 1: not equal more violence. It equals less violence. Actually. Yeah, 779 00:42:04,257 --> 00:42:06,217 Speaker 1: and then there's this, which should be a much bigger story, 780 00:42:06,217 --> 00:42:08,137 Speaker 1: but of course the Democrat corporate media doesn't want to 781 00:42:08,137 --> 00:42:11,897 Speaker 1: talk about it. New text messages show that Hunter Biden 782 00:42:12,017 --> 00:42:15,337 Speaker 1: was kicking back fifty percent of some of his money 783 00:42:15,337 --> 00:42:18,737 Speaker 1: here to his father, Joe Biden. Neark Post reports, Hunter 784 00:42:18,777 --> 00:42:23,657 Speaker 1: Biden's access to lucrative financial opportunities also came with expectations, 785 00:42:23,697 --> 00:42:26,697 Speaker 1: including kicking back as much as fifty percent of his 786 00:42:26,737 --> 00:42:30,857 Speaker 1: earnings to his dad. Text messages on his old laptop show, 787 00:42:31,617 --> 00:42:33,697 Speaker 1: I hope you can all do what I did and 788 00:42:33,777 --> 00:42:36,457 Speaker 1: pay for everything for this entire family for thirty years, 789 00:42:36,577 --> 00:42:39,537 Speaker 1: Hunter Biden Grouse, who daughter Naomi in January twenty nineteen. 790 00:42:40,097 --> 00:42:42,577 Speaker 1: It's really hard, but don't worry. Unlike Pop, I won't 791 00:42:42,617 --> 00:42:46,017 Speaker 1: make you give me half your salary. Pop. Of course, 792 00:42:46,137 --> 00:42:51,217 Speaker 1: within the Biden family context is a reference to Joe Biden. Now, 793 00:42:51,417 --> 00:42:53,217 Speaker 1: how long do we think they'll be able to cover 794 00:42:53,337 --> 00:42:57,137 Speaker 1: up the fact that the Biden crime family was selling 795 00:42:57,177 --> 00:43:00,257 Speaker 1: influence and access to Joe Biden as vice president, to 796 00:43:00,337 --> 00:43:02,137 Speaker 1: Joe Biden as a senator. I'm sure before that, and 797 00:43:02,177 --> 00:43:06,177 Speaker 1: now Joe Biden as president. His son is making glorified 798 00:43:06,297 --> 00:43:09,337 Speaker 1: finger paintings for fifty thousand dollars a pop. And we 799 00:43:09,377 --> 00:43:12,617 Speaker 1: can't know who's buying them. Okay, the corruption is out 800 00:43:12,657 --> 00:43:16,137 Speaker 1: in front of us. It's very obvious. And they try 801 00:43:16,137 --> 00:43:18,777 Speaker 1: to create this world where Joe Biden such a nice guy, 802 00:43:18,977 --> 00:43:21,337 Speaker 1: good old blue collar Joe. You can trust him. He 803 00:43:21,457 --> 00:43:24,697 Speaker 1: rides the amtrack, he rides to choot you all the time. No, no, 804 00:43:24,857 --> 00:43:28,537 Speaker 1: I'm sorry. The Biden somehow have a portfolio of multiple 805 00:43:28,577 --> 00:43:31,417 Speaker 1: properties worth millions and millions of dollars. Guys, been a 806 00:43:31,417 --> 00:43:35,417 Speaker 1: public bureaucrat his whole life. Where's all this money come from? Oh? 807 00:43:35,457 --> 00:43:38,497 Speaker 1: Maybe his son getting millions of dollars from Chinese businessmen, 808 00:43:38,617 --> 00:43:41,097 Speaker 1: millions of dollars from Ukrainian businessmen for what, of course? 809 00:43:41,737 --> 00:43:47,417 Speaker 1: Oh the tidy, whitey clad scarf wearing stripper and pregnating 810 00:43:48,297 --> 00:43:52,337 Speaker 1: crack addict is a brilliant international businessman on the side. 811 00:43:52,417 --> 00:43:56,497 Speaker 1: That's what we are led to believe. I don't think though, Denzaki. 812 00:43:56,577 --> 00:43:58,697 Speaker 1: By the way, it was asked here about the illegal 813 00:43:58,697 --> 00:44:00,697 Speaker 1: immigrant situation. This is just great because this is going 814 00:44:00,777 --> 00:44:02,177 Speaker 1: to get worse and worse and they have no good 815 00:44:02,217 --> 00:44:05,017 Speaker 1: answers about it. She says that illegal immigrants processed by 816 00:44:05,057 --> 00:44:07,617 Speaker 1: Border Patrol are in fact free to travel wherever they 817 00:44:07,657 --> 00:44:11,457 Speaker 1: want within the US. Watch the first migrants arrived in 818 00:44:11,697 --> 00:44:14,617 Speaker 1: DC today, Texas Governor Greg Abbott making good on his 819 00:44:14,737 --> 00:44:20,537 Speaker 1: promise to send migrants to the President's doorstep. I think 820 00:44:20,537 --> 00:44:23,417 Speaker 1: you previously called it a publicity stunt. Is that still 821 00:44:23,577 --> 00:44:25,417 Speaker 1: view of the White House? Can you give us any 822 00:44:25,497 --> 00:44:30,537 Speaker 1: reaction to this busload of migrants driving here and ec Well, 823 00:44:30,617 --> 00:44:33,137 Speaker 1: these are all migrants who have been processed by CBP 824 00:44:33,297 --> 00:44:35,657 Speaker 1: and are free to travel. So it's nice the State 825 00:44:35,697 --> 00:44:38,617 Speaker 1: of Texas is helping them get to their final destination 826 00:44:38,777 --> 00:44:41,537 Speaker 1: as they await in their outcome of their immigration proceedings. 827 00:44:41,577 --> 00:44:44,977 Speaker 1: And they're all in immigration proceedings. Oh yeah, are they 828 00:44:44,977 --> 00:44:47,817 Speaker 1: going to show up for those immigration proceedings? Good luck 829 00:44:47,857 --> 00:44:50,257 Speaker 1: with that. As every tonight's hold the line. The nose 830 00:44:50,297 --> 00:45:08,377 Speaker 1: Spin News with Bill O'Reilly is next Shields High. There's 831 00:45:08,377 --> 00:45:10,257 Speaker 1: a battle going on right now, but maybe the most 832 00:45:10,257 --> 00:45:12,537 Speaker 1: important to fight our countries had since the Revolutionary War. 833 00:45:12,937 --> 00:45:14,897 Speaker 1: Once again, it's about our freedom. People like you and 834 00:45:14,977 --> 00:45:17,657 Speaker 1: me are being canceled, our speech increasingly censored by big 835 00:45:17,657 --> 00:45:20,697 Speaker 1: tech and corporate media. Can't let that happen. Time to 836 00:45:20,697 --> 00:45:23,537 Speaker 1: fight back. Please stand with us and support the first 837 00:45:23,577 --> 00:45:25,937 Speaker 1: teav Be a part of our team dedicated to preserving 838 00:45:25,977 --> 00:45:28,537 Speaker 1: the very essence of who we are, free Americans.