1 00:00:01,800 --> 00:00:05,399 Speaker 1: Coming up tonight on I'm right. We have doctor j Batacharia, 2 00:00:05,480 --> 00:00:08,280 Speaker 1: we have an attorney general, we have Kara Frederick, we 3 00:00:08,360 --> 00:00:10,800 Speaker 1: have a gigantic COVID show. You didn't think all this 4 00:00:10,880 --> 00:00:22,560 Speaker 1: tyranny was over? Did you coming up? You creeped out 5 00:00:22,640 --> 00:00:25,119 Speaker 1: by Now? I don't know about you. I'm a little 6 00:00:25,120 --> 00:00:29,000 Speaker 1: bit creeped out. I'm creeped out by how comfortable our 7 00:00:29,080 --> 00:00:33,960 Speaker 1: politicians have become speaking down to us, speaking down to 8 00:00:34,080 --> 00:00:36,920 Speaker 1: anyone they view as their political opponents. You don't nazi, 9 00:00:37,000 --> 00:00:41,239 Speaker 1: white supremacist, enemy of democracy. I'm getting uncomfortable with the 10 00:00:41,280 --> 00:00:44,919 Speaker 1: President of the United States saying things like he's losing 11 00:00:45,000 --> 00:00:48,279 Speaker 1: patience with us, his patience is wearing thin. I get 12 00:00:48,360 --> 00:00:51,600 Speaker 1: uncomfortable when I see the White House Press Secretary asked 13 00:00:51,640 --> 00:00:56,680 Speaker 1: about some billionaire buying Twitter, and she cryptically says she's 14 00:00:56,920 --> 00:01:02,480 Speaker 1: keeping an eye on it. And Stanford who says, this 15 00:01:02,560 --> 00:01:06,800 Speaker 1: is a critical moment really in terms of ensuring that 16 00:01:07,120 --> 00:01:10,440 Speaker 1: Twitter does not become a factor for misinformation. I mean, 17 00:01:10,480 --> 00:01:16,680 Speaker 1: are you concerned about the Ela Musk says there's more 18 00:01:16,840 --> 00:01:21,400 Speaker 1: and more subscribers coming outline, Are you concerned about that? 19 00:01:21,480 --> 00:01:24,479 Speaker 1: And what tools do you have? Who is it at 20 00:01:24,480 --> 00:01:26,760 Speaker 1: the White House that is really keeping track of this. 21 00:01:27,480 --> 00:01:31,360 Speaker 1: So this is something that we're certainly keeping an eye on. 22 00:01:35,000 --> 00:01:37,360 Speaker 1: It's time for the states to start taking and out 23 00:01:37,360 --> 00:01:40,400 Speaker 1: of control federal government a lot more seriously than most 24 00:01:40,440 --> 00:01:43,720 Speaker 1: of them currently are. Thankfully there is somebody out there 25 00:01:43,720 --> 00:01:45,959 Speaker 1: who's been outstanding on this, and we've had like nobody 26 00:01:46,000 --> 00:01:49,360 Speaker 1: be outstanding on this. Joining me now, current Attorney General 27 00:01:49,360 --> 00:01:51,120 Speaker 1: of the Great State of Missouri. But he won't be 28 00:01:51,160 --> 00:01:53,760 Speaker 1: there long. No, they didn't kick him out there, sending 29 00:01:53,800 --> 00:01:55,920 Speaker 1: him to the United States Senate. Thank god for that, 30 00:01:55,960 --> 00:01:58,000 Speaker 1: because all of our senators will most of them suck. 31 00:01:58,280 --> 00:02:03,000 Speaker 1: Joining me now, Attorney General Eric Schmidt. Why does the 32 00:02:03,040 --> 00:02:05,840 Speaker 1: federal government feel so comfortable speaking to us this way? 33 00:02:05,880 --> 00:02:09,040 Speaker 1: Now that I'm not that old, I don't remember presidents 34 00:02:09,080 --> 00:02:12,560 Speaker 1: ever speaking this way to us. Well, I think the left, 35 00:02:12,840 --> 00:02:15,840 Speaker 1: the truth is, which is now dominating the Democrat Party, 36 00:02:16,520 --> 00:02:20,440 Speaker 1: really hates the First Amendment. They like controlling the narrative, 37 00:02:20,440 --> 00:02:22,440 Speaker 1: which is why you see this reaction to elon us 38 00:02:22,440 --> 00:02:25,320 Speaker 1: buying Twitter is so threatening because what they really want 39 00:02:25,320 --> 00:02:27,640 Speaker 1: to do is it's about power and control, and if 40 00:02:27,680 --> 00:02:30,240 Speaker 1: somebody has a dissenting opinion, they want to cast them out. 41 00:02:30,639 --> 00:02:33,600 Speaker 1: This is no longer about the free exchange of ideas 42 00:02:33,720 --> 00:02:35,960 Speaker 1: or freedom of speech and people. You know, in the 43 00:02:36,000 --> 00:02:38,280 Speaker 1: public square, people get to have their say, and the 44 00:02:38,320 --> 00:02:41,000 Speaker 1: First Amendment has always been this kind of pressure release 45 00:02:41,080 --> 00:02:43,639 Speaker 1: valve for our country. It's the beating heart of the constitution. 46 00:02:44,080 --> 00:02:46,920 Speaker 1: But now you have one political party that views that 47 00:02:47,000 --> 00:02:50,040 Speaker 1: as dangerous and they'll label anybody that disagrees with them 48 00:02:50,040 --> 00:02:52,040 Speaker 1: as you know, just pick the name they want to 49 00:02:52,040 --> 00:02:55,680 Speaker 1: call them, or quote unquote misinformation or disinformation. But this 50 00:02:55,760 --> 00:02:58,280 Speaker 1: has reached now the highest levels of government. Jesse, I mean, 51 00:02:58,320 --> 00:03:01,080 Speaker 1: this is why we file the lawsuit against the Biden 52 00:03:01,080 --> 00:03:05,920 Speaker 1: administration to expose not just these big big tech platforms 53 00:03:05,960 --> 00:03:09,040 Speaker 1: doing themselves, which they received the benefit of Section to 54 00:03:09,160 --> 00:03:12,720 Speaker 1: thirty protection, but now which they shouldn't. But now you've 55 00:03:12,720 --> 00:03:16,480 Speaker 1: got the federal government, big government colluding with big tech 56 00:03:16,800 --> 00:03:20,359 Speaker 1: to outsource its censorship, which should be illegal in this country, 57 00:03:20,680 --> 00:03:22,919 Speaker 1: and they're doing it. And so we filed the lawsuit 58 00:03:23,080 --> 00:03:25,840 Speaker 1: in May. We've made a lot of progress. The discovery 59 00:03:25,840 --> 00:03:30,200 Speaker 1: has unfolded some shocking revelations like weekly censorship meetings that 60 00:03:30,240 --> 00:03:34,080 Speaker 1: the Biden administration was having with big tech partners. A 61 00:03:34,120 --> 00:03:37,280 Speaker 1: special portal for them to get information too. Big Tech 62 00:03:37,320 --> 00:03:41,920 Speaker 1: to de platform folks text messages from high ranking Facebook 63 00:03:41,920 --> 00:03:46,000 Speaker 1: officials directly to the Surgeon General of the United States saying, hey, 64 00:03:46,040 --> 00:03:48,720 Speaker 1: we took that person you know down, we took those commons. 65 00:03:48,720 --> 00:03:50,200 Speaker 1: Sound what else can we do? I mean, this is 66 00:03:50,200 --> 00:03:53,240 Speaker 1: shocking stuff. And then, of course we had the seven 67 00:03:53,240 --> 00:03:55,640 Speaker 1: hour Fauci deposition last week, which revealed a lot too. 68 00:03:57,080 --> 00:03:59,760 Speaker 1: You know what, Actually, let's begin with the Fauci stuff, 69 00:03:59,760 --> 00:04:02,040 Speaker 1: because I'm dying to get to the big tech stuff. 70 00:04:02,040 --> 00:04:03,640 Speaker 1: But I want to begin with Faucin just because of 71 00:04:03,680 --> 00:04:06,920 Speaker 1: how much damage he's done. Tell me what you did 72 00:04:07,120 --> 00:04:08,880 Speaker 1: and why why did you even get to be able 73 00:04:08,960 --> 00:04:11,640 Speaker 1: to depose him? What happened? Would you do? Yeah? So, 74 00:04:11,680 --> 00:04:14,240 Speaker 1: in that lawsuit where we're alleging and now proving that 75 00:04:14,440 --> 00:04:17,920 Speaker 1: big government colluded with big tech, a very a central 76 00:04:18,000 --> 00:04:21,120 Speaker 1: focus of that lawsuit is that, you know, during COVID, 77 00:04:21,640 --> 00:04:24,480 Speaker 1: the government was working hand in hand with big tech 78 00:04:24,760 --> 00:04:27,800 Speaker 1: to silence descent. And of course, the main character in 79 00:04:27,839 --> 00:04:30,520 Speaker 1: the middle of this play is Anthony Fauci, and it's 80 00:04:30,520 --> 00:04:33,760 Speaker 1: really interesting because he has, you know, tried to present 81 00:04:33,839 --> 00:04:37,040 Speaker 1: himself as this all knowing I am the science guy. 82 00:04:37,520 --> 00:04:39,480 Speaker 1: But in his deposition there was a lot of I 83 00:04:39,520 --> 00:04:42,559 Speaker 1: don't recalls, I think that was clear. But over seven 84 00:04:42,600 --> 00:04:46,320 Speaker 1: hours we were able to extract a lot of really 85 00:04:46,360 --> 00:04:50,720 Speaker 1: important information, for example, the lab leak theory, which is 86 00:04:50,760 --> 00:04:54,440 Speaker 1: absolutely credible, the most likely explanation for what actually happened. 87 00:04:55,160 --> 00:04:59,279 Speaker 1: His agency was funding research at the Wuhan Lab. And 88 00:04:59,480 --> 00:05:02,640 Speaker 1: what you see in that deposition is that very early 89 00:05:02,680 --> 00:05:07,160 Speaker 1: in February, when he becomes aware of this as a 90 00:05:07,240 --> 00:05:10,480 Speaker 1: as a as a story that's moving, they quickly moved 91 00:05:10,480 --> 00:05:13,760 Speaker 1: to discredit it, and only weeks later anybody that utters 92 00:05:13,800 --> 00:05:18,159 Speaker 1: it is you know, peddling disinformation. And guess what big 93 00:05:18,160 --> 00:05:21,560 Speaker 1: tech does. Big Tech then starts censoring people at the 94 00:05:21,600 --> 00:05:25,920 Speaker 1: behest of people like Anthony Fauci in this communications team. Secondly, 95 00:05:26,279 --> 00:05:28,560 Speaker 1: as far as the restrictions that were being in place, 96 00:05:28,600 --> 00:05:31,400 Speaker 1: what should the response be. He sent doctor Lane, his 97 00:05:31,480 --> 00:05:34,520 Speaker 1: chief lieutenant, to China to observe what they were doing 98 00:05:34,520 --> 00:05:39,120 Speaker 1: in China. He comes back raving about these Chinese extreme measures, 99 00:05:39,120 --> 00:05:41,640 Speaker 1: these lockdowns at the communists, we're putting in place for 100 00:05:41,680 --> 00:05:44,960 Speaker 1: their people. And so Fauci loved that idea. It was 101 00:05:45,000 --> 00:05:48,040 Speaker 1: certainly advocating it for it and then you've got masks. 102 00:05:48,240 --> 00:05:52,680 Speaker 1: In February of twenty twenty, a friend emails him and says, hey, 103 00:05:52,680 --> 00:05:54,520 Speaker 1: should I wear a mask on the plane given everything 104 00:05:54,520 --> 00:05:57,080 Speaker 1: that's going on with COVID. His response essentially is mass 105 00:05:57,080 --> 00:05:59,640 Speaker 1: are completely ineffective. You don't need to wear a mask. 106 00:06:00,320 --> 00:06:03,080 Speaker 1: That is, that opinion is affirmed by studies that are 107 00:06:03,080 --> 00:06:05,440 Speaker 1: presented to him. Is late as March thirty first of 108 00:06:05,480 --> 00:06:08,560 Speaker 1: twenty twenty. Four days later, Jesse he comes out in 109 00:06:08,600 --> 00:06:11,880 Speaker 1: a press conference essentially saying that you know, masks are 110 00:06:12,440 --> 00:06:15,080 Speaker 1: mass should be required, mass should be used. And then 111 00:06:15,120 --> 00:06:17,839 Speaker 1: we've got you know, masking of school kids COVID tiering 112 00:06:17,880 --> 00:06:21,240 Speaker 1: he's born, lives are ruined. So this guy has been 113 00:06:21,240 --> 00:06:23,159 Speaker 1: making it up as he goes along. This is about 114 00:06:23,160 --> 00:06:25,320 Speaker 1: power and control. It's never been about the science. But 115 00:06:25,360 --> 00:06:28,400 Speaker 1: it's really important part of this case because to prove 116 00:06:28,760 --> 00:06:33,559 Speaker 1: essentially that Fauci, whatever Fauci says when he speaks, big 117 00:06:33,560 --> 00:06:37,040 Speaker 1: tech will censor. And so that's part of why we 118 00:06:37,120 --> 00:06:39,719 Speaker 1: got the deposition scheduled. The judge agreed to let us 119 00:06:39,760 --> 00:06:42,440 Speaker 1: have it. We've got depositions coming of an FBI agent 120 00:06:42,480 --> 00:06:45,119 Speaker 1: that's actually happening today on the Hunter Biden laptop story. 121 00:06:45,400 --> 00:06:47,800 Speaker 1: Chensaki's coming in a couple of weeks. So we are 122 00:06:47,839 --> 00:06:50,719 Speaker 1: moving this thing along and for the first time getting 123 00:06:50,760 --> 00:06:54,920 Speaker 1: a peak under the hood of this Orwellian machine that 124 00:06:55,040 --> 00:06:57,680 Speaker 1: was created, this ministry of truth that ought to frighten 125 00:06:57,800 --> 00:07:03,320 Speaker 1: every American. One of the things I love that you're doing. Honestly, 126 00:07:03,560 --> 00:07:05,240 Speaker 1: we'll come back to the big tech portion of this. 127 00:07:05,320 --> 00:07:07,240 Speaker 1: I love the FBI stuff. I love it. I love 128 00:07:07,279 --> 00:07:10,400 Speaker 1: that you're using the state power. You're using the power 129 00:07:10,400 --> 00:07:12,960 Speaker 1: of the state attorney general. They have incredible amounts of 130 00:07:13,000 --> 00:07:17,080 Speaker 1: power to protect your citizens in the state of Missouri 131 00:07:17,520 --> 00:07:21,600 Speaker 1: from a gross federal government overreach. Please tell me this 132 00:07:21,680 --> 00:07:25,000 Speaker 1: mentality is going to spread throughout the GOP. I'm in 133 00:07:25,040 --> 00:07:27,040 Speaker 1: the state of Texas. We're in a red state. Our 134 00:07:27,080 --> 00:07:30,680 Speaker 1: Republican Party is completely useless, a whole bunch of units. 135 00:07:30,680 --> 00:07:33,480 Speaker 1: You never see anything like this out of the Texas Goop, 136 00:07:33,920 --> 00:07:36,640 Speaker 1: this kind of mentality. The states are what we need 137 00:07:36,680 --> 00:07:40,480 Speaker 1: to protect citizens. Are we moving in that direction? Yes? 138 00:07:40,600 --> 00:07:43,640 Speaker 1: And this is an affirmation of our system of federalism. Look, 139 00:07:43,880 --> 00:07:46,840 Speaker 1: the founders created a system Jesse to spread out power 140 00:07:47,120 --> 00:07:50,000 Speaker 1: to disperse it. We were rebelling from a central authority. 141 00:07:50,040 --> 00:07:53,680 Speaker 1: We're rebelling from a king that controlled everything, right, and 142 00:07:53,720 --> 00:07:56,200 Speaker 1: so what the founders created was a system to spread 143 00:07:56,200 --> 00:07:59,680 Speaker 1: out government checks and balances, separation of powers, and the 144 00:07:59,760 --> 00:08:03,400 Speaker 1: states created the federal government. We agreed, the states agreed 145 00:08:03,800 --> 00:08:07,080 Speaker 1: what powers the federal government should have. We thought so 146 00:08:07,160 --> 00:08:09,640 Speaker 1: much about this that actually in the Constitution, in the 147 00:08:09,680 --> 00:08:12,400 Speaker 1: first Amendment, we said the government shouldn't have any role 148 00:08:12,480 --> 00:08:15,680 Speaker 1: in constricting or censoring speech. Right, and then all the 149 00:08:15,720 --> 00:08:18,200 Speaker 1: powers that we didn't give the federal government are retained 150 00:08:18,200 --> 00:08:21,320 Speaker 1: by the states. Well, here we go. Missouri has always 151 00:08:21,320 --> 00:08:24,920 Speaker 1: been skeptical of a overreaching federal government a thousand miles 152 00:08:24,960 --> 00:08:27,120 Speaker 1: away telling us how to live our lives. And so 153 00:08:27,240 --> 00:08:30,360 Speaker 1: I'm representing the people we're challenging when the federal government 154 00:08:30,400 --> 00:08:33,320 Speaker 1: goes outside their legal authorities. We have pushed back, whether 155 00:08:33,360 --> 00:08:36,240 Speaker 1: it was on Title forty, whether it was on immigration issues, 156 00:08:36,559 --> 00:08:39,319 Speaker 1: whether it was on energy issues, you know, canceling a 157 00:08:39,320 --> 00:08:42,040 Speaker 1: lot of these leases, doing things that they have no 158 00:08:42,120 --> 00:08:45,280 Speaker 1: business doing, including, of course, censoring speech. So I viewed 159 00:08:45,320 --> 00:08:48,559 Speaker 1: it as my role to protect the liberty of every 160 00:08:48,600 --> 00:08:51,920 Speaker 1: one of the six million Missourians that live here that 161 00:08:52,080 --> 00:08:54,319 Speaker 1: don't want the federal government telling them what they can 162 00:08:54,320 --> 00:08:55,720 Speaker 1: say and when they can say it. And I'm going 163 00:08:55,760 --> 00:08:58,000 Speaker 1: to take that same spirit to the United States Senate. 164 00:08:58,040 --> 00:09:00,360 Speaker 1: But with every breath I have as a g we're 165 00:09:00,360 --> 00:09:04,720 Speaker 1: gonna continue fighting this. Go get them. I love hearing 166 00:09:04,720 --> 00:09:07,760 Speaker 1: that stuff. I hope it spreads like wildfire. Attorney General 167 00:09:07,760 --> 00:09:10,160 Speaker 1: is soon to be Senator. I'll break bread with you 168 00:09:10,160 --> 00:09:13,200 Speaker 1: in Washington some time. I appreciate you, sir, We love it. 169 00:09:13,240 --> 00:09:19,880 Speaker 1: Take care hear that Republican States, forget about the fans. 170 00:09:20,360 --> 00:09:24,480 Speaker 1: Hear that states, You state ages, governors, That's how it's done. 171 00:09:24,520 --> 00:09:29,320 Speaker 1: You have incredible amounts of power. Stop punishing your citizens, 172 00:09:29,600 --> 00:09:33,720 Speaker 1: start protecting your citizens from an out of control federal government. 173 00:09:33,920 --> 00:09:38,359 Speaker 1: We can do this legally, legally and locally the Red States. 174 00:09:38,400 --> 00:09:41,040 Speaker 1: That is our path to freedom out there. All right, 175 00:09:41,280 --> 00:09:44,960 Speaker 1: We're gonna talk to doctor J. Baticharia next about the 176 00:09:45,400 --> 00:09:48,160 Speaker 1: medical tyranny when it comes to COVID and what's still 177 00:09:48,200 --> 00:09:51,000 Speaker 1: happening out there. You're not gonna believe this new California bill. 178 00:09:51,280 --> 00:09:55,240 Speaker 1: Before we get to that, Let's get to this because look, 179 00:09:55,840 --> 00:09:59,200 Speaker 1: I'm going to ask doctor J about doctors about the 180 00:09:59,240 --> 00:10:01,640 Speaker 1: medical institution US. Why are they a bunch of lemmings 181 00:10:01,640 --> 00:10:07,040 Speaker 1: in this country. What happened. Either way, I don't trust 182 00:10:07,040 --> 00:10:09,480 Speaker 1: doctors as much as I used to. That's putting it 183 00:10:09,520 --> 00:10:14,199 Speaker 1: pretty mildly. I'm trying to avoid the doctor. Got up today, 184 00:10:14,559 --> 00:10:17,240 Speaker 1: went for a long walk with the wife, then lifted weights, 185 00:10:17,360 --> 00:10:19,800 Speaker 1: trying to eat a little bit better, trying to be 186 00:10:19,840 --> 00:10:22,680 Speaker 1: healthier so I can avoid the doctor. Part of being 187 00:10:22,720 --> 00:10:27,280 Speaker 1: healthy is the air you breathe. I have Eden Pure Thunderstorms, 188 00:10:27,400 --> 00:10:29,560 Speaker 1: three of them in my home, three of them in 189 00:10:29,600 --> 00:10:32,640 Speaker 1: the studio. Not just because they fixed my allergies. That's 190 00:10:32,640 --> 00:10:36,239 Speaker 1: a nice side benefit of it. I have them wherever 191 00:10:36,400 --> 00:10:40,040 Speaker 1: I exist because they kill the viruses in mold in 192 00:10:40,080 --> 00:10:44,160 Speaker 1: the air. It keeps me healthier, makes my lungs feel better, 193 00:10:44,200 --> 00:10:47,520 Speaker 1: throat feel better. I know I'm healthier because of Eden 194 00:10:47,600 --> 00:10:50,760 Speaker 1: Pure Thunderstorm. They have three packs for sale for my 195 00:10:50,880 --> 00:10:54,480 Speaker 1: viewers for under two hundred dollars. Go to Eden Pure 196 00:10:54,600 --> 00:10:58,560 Speaker 1: deals dot com. Code jesse gets you a three pack 197 00:10:58,800 --> 00:11:02,560 Speaker 1: for under two hundred dollars. Eden Pure deeals dot com 198 00:11:02,640 --> 00:11:10,880 Speaker 1: code jesse go now, we'll be bad. Each morning, the 199 00:11:10,920 --> 00:11:14,160 Speaker 1: President of the United States receives a highly classified briefing 200 00:11:14,200 --> 00:11:17,040 Speaker 1: on the most important issues facing the country. It's called 201 00:11:17,040 --> 00:11:20,880 Speaker 1: the President's Daily Brief or PDB. It's delivered by America's 202 00:11:20,880 --> 00:11:23,880 Speaker 1: spies and analysts. Well, now you can hear your very 203 00:11:23,920 --> 00:11:27,040 Speaker 1: own PDB in the form of a podcast hosted by 204 00:11:27,040 --> 00:11:31,120 Speaker 1: me Brian Dean Wright, a former CIA operations officer. Each 205 00:11:31,120 --> 00:11:33,720 Speaker 1: morning at six am Eastern, I'll bring you fifteen to 206 00:11:33,760 --> 00:11:36,360 Speaker 1: twenty minutes of the most important issues facing the country, 207 00:11:36,600 --> 00:11:40,000 Speaker 1: giving you the critical intelligence and analysis you need to 208 00:11:40,040 --> 00:11:49,280 Speaker 1: start your morning. What censorship did is is it's not 209 00:11:49,360 --> 00:11:51,200 Speaker 1: just that it suppressed the voices of the people that 210 00:11:51,240 --> 00:11:53,800 Speaker 1: were censored, although that was bad enough. It's sent a 211 00:11:53,920 --> 00:11:57,719 Speaker 1: signal to the other scientists that's look, these areas are 212 00:11:57,720 --> 00:12:01,000 Speaker 1: too controversial, stay out of them, otherwise you're going to 213 00:12:01,080 --> 00:12:03,840 Speaker 1: lose your reputation too. And as a result, you have 214 00:12:03,960 --> 00:12:07,240 Speaker 1: this illusion of a consensus that never existed. On so 215 00:12:07,320 --> 00:12:11,360 Speaker 1: many topics. We rob the American people of a true debate. 216 00:12:11,520 --> 00:12:15,600 Speaker 1: The truth comes from people honestly engaging with the data. 217 00:12:15,760 --> 00:12:19,280 Speaker 1: Censorship kills that. Censorship kills science, and I think censorship 218 00:12:19,320 --> 00:12:25,520 Speaker 1: actually killed people during this pandemic. Censorship killed people. It's 219 00:12:25,520 --> 00:12:27,680 Speaker 1: a powerful statement, is it it? Joining me now? Doctor 220 00:12:27,760 --> 00:12:32,000 Speaker 1: j Batachari, a Professor, Stanford School of Medicine, also author 221 00:12:32,000 --> 00:12:34,400 Speaker 1: of the book The Great Bearington Declaration, which we're going 222 00:12:34,440 --> 00:12:37,000 Speaker 1: to get to in a minute. Doctor, thank you again 223 00:12:37,120 --> 00:12:40,480 Speaker 1: for joining us. Please tell me how did censorship kill people? 224 00:12:41,800 --> 00:12:44,559 Speaker 1: The key thing is, Jesse is it. Science is messy. 225 00:12:44,679 --> 00:12:48,960 Speaker 1: It requires different people talking to each other, disagreeing with 226 00:12:49,000 --> 00:12:51,920 Speaker 1: each other, coming up with experiments that to determine what 227 00:12:51,960 --> 00:12:55,040 Speaker 1: the truth is. It takes time, and it takes courage, 228 00:12:55,160 --> 00:12:58,280 Speaker 1: like you have to speak up when almost everybody else 229 00:12:58,320 --> 00:13:01,280 Speaker 1: thinks one way. You know, somebody, some scientists comes along 230 00:13:01,280 --> 00:13:03,640 Speaker 1: and says no, that's not right, and then it turns 231 00:13:03,640 --> 00:13:07,360 Speaker 1: out to be right. Censorship kill people by locking in 232 00:13:07,440 --> 00:13:10,720 Speaker 1: place bad ideas during the pandemic. Ideas like there's no 233 00:13:10,760 --> 00:13:14,360 Speaker 1: immunity after COVID recovery. Ideas like it's impossible to treat 234 00:13:14,760 --> 00:13:17,400 Speaker 1: the disease at all. Ideas like the vaccine has no 235 00:13:17,440 --> 00:13:20,920 Speaker 1: side effects at all. The ideas like it's vaccine man 236 00:13:21,040 --> 00:13:22,920 Speaker 1: its are the only way to get to hurt immunity. 237 00:13:23,120 --> 00:13:25,719 Speaker 1: Ideas like kurtimmunity is only possible through a vaccine. Each 238 00:13:25,720 --> 00:13:28,800 Speaker 1: and every one of these ideas did harm oh. Ideas 239 00:13:28,800 --> 00:13:31,160 Speaker 1: like we shouldn't be talking about the economic harms from 240 00:13:31,200 --> 00:13:35,640 Speaker 1: the lockdowns because they're not important, even though it destroyed 241 00:13:35,679 --> 00:13:38,440 Speaker 1: the lives of poor people around the world. Ideas like oh, 242 00:13:38,480 --> 00:13:40,320 Speaker 1: it's okay to keep kids out of school, that won't 243 00:13:40,360 --> 00:13:42,400 Speaker 1: harm them, even though it'll shorten their lives lead them 244 00:13:42,440 --> 00:13:46,000 Speaker 1: to less healthy lives as a consequence of keeping kids 245 00:13:46,000 --> 00:13:49,160 Speaker 1: out of school. These ideas all should have been debated 246 00:13:49,320 --> 00:13:52,200 Speaker 1: up front, and instead we had the censorship regime that 247 00:13:52,320 --> 00:13:55,319 Speaker 1: to suppressed scientific discussion around this and just and led 248 00:13:55,320 --> 00:13:58,760 Speaker 1: to just incredibly about the worst public health policy in 249 00:13:58,760 --> 00:14:02,920 Speaker 1: my lifetime. Doctor. Can you help me understand, because I'm 250 00:14:02,920 --> 00:14:05,560 Speaker 1: obviously not I have no business in that heavy world 251 00:14:05,559 --> 00:14:08,199 Speaker 1: of yours. I'm with the dumb people over here. Can 252 00:14:08,240 --> 00:14:12,080 Speaker 1: you help me understand why so many people in that community, 253 00:14:12,200 --> 00:14:15,840 Speaker 1: so the high IQ people, did go along lockstep with 254 00:14:15,880 --> 00:14:18,319 Speaker 1: each other. It doesn't make sense to me, because I mean, 255 00:14:18,720 --> 00:14:22,040 Speaker 1: apparently I'm naive. I picture this, you know, gigantic room 256 00:14:22,120 --> 00:14:25,320 Speaker 1: full of geniuses, everyone trying to work things out and 257 00:14:25,440 --> 00:14:28,520 Speaker 1: figure things out, and instead what I saw was only 258 00:14:28,560 --> 00:14:30,280 Speaker 1: a few of you trying to do that, and the 259 00:14:30,360 --> 00:14:34,280 Speaker 1: rest are a bunch of lemmings. How does that happen? Jesse, 260 00:14:34,400 --> 00:14:37,160 Speaker 1: and I just say, you're not one of the dumb guys. Frankly, 261 00:14:37,200 --> 00:14:40,160 Speaker 1: like you had a better intuition than most eponeologists that 262 00:14:40,200 --> 00:14:43,000 Speaker 1: spoke up. And I honestly other think I'd say about 263 00:14:43,000 --> 00:14:45,560 Speaker 1: this is that I was naive in the same way 264 00:14:45,560 --> 00:14:47,520 Speaker 1: as you before the pandemic. I actually thought that we 265 00:14:47,560 --> 00:14:50,240 Speaker 1: would could have on a scientific discussion. What I saw 266 00:14:50,320 --> 00:14:53,760 Speaker 1: during the pandemic was that top scientific bureaucrats, people like 267 00:14:53,880 --> 00:14:58,520 Speaker 1: Tony Faccio, who control the budget of treme of you know, 268 00:14:58,600 --> 00:15:02,360 Speaker 1: like the IH is forty five billion dollars. Every every 269 00:15:02,400 --> 00:15:04,960 Speaker 1: single school in the country, of medical school in the 270 00:15:04,960 --> 00:15:07,360 Speaker 1: County of no gets a tremendous amount of money from it. 271 00:15:07,600 --> 00:15:11,000 Speaker 1: But what people don't know is that he also controls 272 00:15:11,320 --> 00:15:17,240 Speaker 1: the reputations and promotions of scientists. I work at Stanford 273 00:15:17,320 --> 00:15:19,200 Speaker 1: School of Medicine. I'm a full professor here right. I 274 00:15:19,560 --> 00:15:23,240 Speaker 1: don't get tenure unless I have an NIH grant. It's 275 00:15:23,280 --> 00:15:25,160 Speaker 1: because I've been successful with a NIH grants and I 276 00:15:25,160 --> 00:15:28,600 Speaker 1: get tenure. When Tony Fauci steps into health policy says, 277 00:15:28,840 --> 00:15:31,400 Speaker 1: you know, the Great Parents decoration is nonsense. You have 278 00:15:31,440 --> 00:15:34,640 Speaker 1: to you know, we should emulate the Chinese lockdown policy. 279 00:15:35,480 --> 00:15:38,520 Speaker 1: It's very difficult for scientists to speak up because their 280 00:15:38,560 --> 00:15:41,080 Speaker 1: livelihoods are at stake. They say, well, if I speak 281 00:15:41,160 --> 00:15:44,480 Speaker 1: up on this topic that opposes Tony Fauci, I might 282 00:15:44,520 --> 00:15:47,960 Speaker 1: lose my reputation. Um, why getting why get involved with that? 283 00:15:48,040 --> 00:15:50,000 Speaker 1: So I'll just I'll just stay quiet. And then there's 284 00:15:50,200 --> 00:15:53,040 Speaker 1: then there's the people who, like you know, they try 285 00:15:53,040 --> 00:15:55,480 Speaker 1: to seek favor with the king, you know, so like you, 286 00:15:55,320 --> 00:15:57,920 Speaker 1: you're you, you're fighting in the court, like the high court, 287 00:15:57,960 --> 00:16:00,640 Speaker 1: to like seek favor with the king. You speak up 288 00:16:00,680 --> 00:16:04,359 Speaker 1: and attack other scientists who would who say, who criticize 289 00:16:04,720 --> 00:16:08,440 Speaker 1: Tony Fouchi's ideas? Um, it's this kind of regime, this 290 00:16:08,640 --> 00:16:11,320 Speaker 1: quiet censorship that that doesn't get a lot of attention, 291 00:16:11,360 --> 00:16:13,760 Speaker 1: but really was was the key to why the answer 292 00:16:13,800 --> 00:16:19,360 Speaker 1: to your question why scientists didn't speak up? Doctor If 293 00:16:19,720 --> 00:16:23,400 Speaker 1: doctor Fauci has that much power in this country? Has 294 00:16:23,440 --> 00:16:26,840 Speaker 1: it always been that way where this one bureaucrat controls 295 00:16:26,880 --> 00:16:28,960 Speaker 1: this huge amount of money and he can buy the 296 00:16:29,040 --> 00:16:32,160 Speaker 1: opinions he wants. Is this something new? Because this is 297 00:16:32,160 --> 00:16:36,360 Speaker 1: not anything I've ever heard of before COVID. I think 298 00:16:36,360 --> 00:16:39,480 Speaker 1: that that power existed, it just became abundantly clear during 299 00:16:39,480 --> 00:16:43,200 Speaker 1: COVID someone like Tony thought, she's kind of us in 300 00:16:43,240 --> 00:16:46,000 Speaker 1: some ways unique thirty eight years ahead of this massive 301 00:16:46,320 --> 00:16:50,880 Speaker 1: pile of money controlling what countless biomedical scientists think and say. 302 00:16:51,240 --> 00:16:53,200 Speaker 1: That's I think has been true for a very, very 303 00:16:53,200 --> 00:16:55,600 Speaker 1: long time. And he's unique in the sense of thirty 304 00:16:55,640 --> 00:16:59,520 Speaker 1: eight years. He knows the Washington inside like nobody else. 305 00:16:59,520 --> 00:17:03,640 Speaker 1: He's his particular genius is bureaucratic infighting inside of Washington. 306 00:17:03,800 --> 00:17:07,000 Speaker 1: Why did you ask yourself, Jesse, why didn't the CDC 307 00:17:07,280 --> 00:17:09,920 Speaker 1: director play a key role into sending COVID policy in 308 00:17:09,920 --> 00:17:12,800 Speaker 1: twenty twenty shouldn't shouldn't the CDC director Robert Redfield him 309 00:17:12,800 --> 00:17:14,840 Speaker 1: and the key key player in this No, it was 310 00:17:14,960 --> 00:17:17,600 Speaker 1: it fell to someone in the NIH who was only 311 00:17:17,640 --> 00:17:20,280 Speaker 1: they're only supposed to do is fund research, not set 312 00:17:20,320 --> 00:17:24,760 Speaker 1: health policy. UM Tony Faucci is and and UH and 313 00:17:24,800 --> 00:17:28,439 Speaker 1: Francis Collins, who was his boss at the NIH, essentially 314 00:17:28,520 --> 00:17:33,560 Speaker 1: staged a soft coup taking over COVID policy when they 315 00:17:33,560 --> 00:17:37,280 Speaker 1: should not ever have been anywhere near near the reigns 316 00:17:37,320 --> 00:17:39,199 Speaker 1: of power. I mean, I thought of him when I 317 00:17:39,200 --> 00:17:41,719 Speaker 1: first saw him, give that that you know, the famous 318 00:17:42,119 --> 00:17:46,880 Speaker 1: UH press conference with the President Trump in March twenty twenty, 319 00:17:46,880 --> 00:17:50,320 Speaker 1: I thought to myself, we no longer have an elected president. 320 00:17:50,560 --> 00:17:53,719 Speaker 1: We have it, in effect, a new uh in affect, 321 00:17:53,760 --> 00:17:56,439 Speaker 1: a real The real president is Tony Fauci setting domestic policy. 322 00:17:56,480 --> 00:17:59,240 Speaker 1: I've thought that for two at least, you know, two 323 00:17:59,560 --> 00:18:04,240 Speaker 1: years after that he effectively ruined two presidencies. He did 324 00:18:04,520 --> 00:18:07,439 Speaker 1: what is the Great Barrington Declaration. It's true book. What 325 00:18:07,600 --> 00:18:10,560 Speaker 1: is it? Well, let's it's not a book. It's it's 326 00:18:10,560 --> 00:18:12,359 Speaker 1: actually one page long. You can go to a website. 327 00:18:12,400 --> 00:18:15,040 Speaker 1: The website, it's little, it's very easy to read. It's 328 00:18:15,040 --> 00:18:18,080 Speaker 1: a document that I wrote with Martin Colder from Harvard 329 00:18:18,160 --> 00:18:23,120 Speaker 1: University and Sinatra Gupta of the Oxford and she they're 330 00:18:23,119 --> 00:18:27,960 Speaker 1: both fantastic scientists and epithemologists. We wrote it arguing that 331 00:18:28,080 --> 00:18:30,520 Speaker 1: there's a very steep age gradient in the risk of 332 00:18:30,640 --> 00:18:33,720 Speaker 1: COVID death from COVID older people. At sixty seventy percent 333 00:18:33,720 --> 00:18:35,720 Speaker 1: of the deaths are people over the age of sixty five, 334 00:18:36,880 --> 00:18:38,520 Speaker 1: a very large fraction. I mean, like it's like it's 335 00:18:38,560 --> 00:18:40,400 Speaker 1: eighty percent of the deaths are over age sixty five, 336 00:18:40,920 --> 00:18:44,160 Speaker 1: whereas for children is very low risk. So COVID risk 337 00:18:44,280 --> 00:18:46,840 Speaker 1: is very age stratified. On the other hand, the lockdowns 338 00:18:46,880 --> 00:18:49,600 Speaker 1: in October twenty twenty, we wrote it, we're doing tremendous damage. 339 00:18:49,600 --> 00:18:52,520 Speaker 1: They've done tremendous damage to the lives of young people, many, 340 00:18:52,560 --> 00:18:56,240 Speaker 1: many lowers, basically everybody. So the Great Barenton Declaration says, 341 00:18:56,400 --> 00:18:59,920 Speaker 1: let's instead of these crazy lockdown policies, let's do folk 342 00:19:00,280 --> 00:19:02,760 Speaker 1: protection of older people. Let's move heaven and earth to 343 00:19:02,800 --> 00:19:05,080 Speaker 1: try to give resources to protect older people who at 344 00:19:05,160 --> 00:19:07,840 Speaker 1: high risk, while at the same time lifting lockdowns, letting 345 00:19:07,880 --> 00:19:10,960 Speaker 1: kids go back to school, opening businesses, churches, moss whatever, 346 00:19:11,040 --> 00:19:13,840 Speaker 1: whatever have you. So the people so that the harms 347 00:19:13,880 --> 00:19:15,960 Speaker 1: from the lockdowns don't get done to low risk people 348 00:19:16,680 --> 00:19:19,560 Speaker 1: and that we protect the people who are really at 349 00:19:19,640 --> 00:19:21,959 Speaker 1: high risk. That's it. That's It's a one page document. 350 00:19:22,000 --> 00:19:24,159 Speaker 1: We wrote it to like tell people there actually was 351 00:19:24,240 --> 00:19:27,280 Speaker 1: scientific debate about the lockdowns. You remember back in October 352 00:19:27,280 --> 00:19:30,840 Speaker 1: twenty twenty, impression was, oh, all scientists degree, you must 353 00:19:30,840 --> 00:19:33,560 Speaker 1: do lockdowns. Only crazy people who opposed lockdowns. That was 354 00:19:33,640 --> 00:19:36,640 Speaker 1: never true. That was never true. I knew many many 355 00:19:36,680 --> 00:19:39,560 Speaker 1: scientists who disagreed with the lockdowns, that they were quite damaging, 356 00:19:39,720 --> 00:19:43,199 Speaker 1: and yet they stayed silent. I wrote it with the 357 00:19:43,400 --> 00:19:45,840 Speaker 1: friends of mine from Oxford and Harvard in order to 358 00:19:45,840 --> 00:19:48,679 Speaker 1: tell the world. It's really easy to read, tell the 359 00:19:48,680 --> 00:19:51,400 Speaker 1: whole world that no, there's another way, that there isn't 360 00:19:51,400 --> 00:19:54,840 Speaker 1: a scientific consensus on lockdowns. In fact, the scientific consent, 361 00:19:54,880 --> 00:19:58,160 Speaker 1: the apparent consensus on lockdowns were an illusion, an illusion 362 00:19:58,200 --> 00:20:03,240 Speaker 1: of consensus enforced by people like Tony Fauci, whose control 363 00:20:03,280 --> 00:20:07,520 Speaker 1: of the media, control of scientific bureaucracies was tremendous, and 364 00:20:07,600 --> 00:20:10,280 Speaker 1: it fooled people into thinking that the only way was 365 00:20:10,280 --> 00:20:12,120 Speaker 1: a lockdown when there was really there was another way. 366 00:20:12,280 --> 00:20:14,280 Speaker 1: That That picture breaks my heart. We're just seeing right there. 367 00:20:15,680 --> 00:20:17,480 Speaker 1: But yeah, I mean I think that there was another way. 368 00:20:17,760 --> 00:20:21,439 Speaker 1: Uh uh, And I really wish we had won that 369 00:20:21,520 --> 00:20:24,119 Speaker 1: policy debate in Octrebura twenty twenty. What happened was that 370 00:20:24,359 --> 00:20:27,800 Speaker 1: Tony Faucci and Frances Collins um. I mean, they can 371 00:20:28,040 --> 00:20:31,439 Speaker 1: conspire with each other to denigrate the declaration, to destroy 372 00:20:31,520 --> 00:20:33,720 Speaker 1: the careers of scientists who tried to who signed it. 373 00:20:33,760 --> 00:20:36,040 Speaker 1: Some people actually lost their jobs or signing it. I faced, 374 00:20:36,760 --> 00:20:39,919 Speaker 1: you know, slander. People started at I got death threats, 375 00:20:39,920 --> 00:20:41,720 Speaker 1: People started asking me why I wanted to let the 376 00:20:41,760 --> 00:20:43,639 Speaker 1: virus rip and kill Grandma. When I was calling for 377 00:20:43,720 --> 00:20:47,000 Speaker 1: focused protection of vulnerable people. It was really it was 378 00:20:47,000 --> 00:20:51,600 Speaker 1: really quite something to watch. Well. I had hoped that 379 00:20:51,720 --> 00:20:55,119 Speaker 1: COVID would reveal all this censorship and people would be horrified, 380 00:20:55,119 --> 00:20:57,280 Speaker 1: but apparently I would be a mistaken This is from 381 00:20:57,320 --> 00:21:00,359 Speaker 1: the City Journal. The California law would allow state medical 382 00:21:00,400 --> 00:21:04,480 Speaker 1: boards to punish physicians who spread misinformation or disinformation regarding 383 00:21:04,480 --> 00:21:08,320 Speaker 1: COVID nineteen and its treatment options. The bill defines misinformation 384 00:21:08,359 --> 00:21:13,399 Speaker 1: as false information that is contradicted by contemporary scientific consensus 385 00:21:13,440 --> 00:21:16,399 Speaker 1: contrary to the standard of care. Doctor, this sounds like 386 00:21:16,440 --> 00:21:20,240 Speaker 1: everything you were just talking about being written into law 387 00:21:20,480 --> 00:21:24,119 Speaker 1: in states, and it sounds horrific. To be honest, it is. 388 00:21:24,160 --> 00:21:26,800 Speaker 1: It's a It's a law called AB twenty ninety eight 389 00:21:26,840 --> 00:21:30,200 Speaker 1: in California. I wrote to oppose it. It's funny that 390 00:21:30,520 --> 00:21:32,600 Speaker 1: the chief author of the law, one of the in 391 00:21:32,600 --> 00:21:35,359 Speaker 1: this California State Senate Dick Pan attacked me on Twitter 392 00:21:35,640 --> 00:21:37,600 Speaker 1: because he because I do research for a living right, 393 00:21:37,600 --> 00:21:40,720 Speaker 1: this law actually affects practicing physicians. What it does is 394 00:21:40,720 --> 00:21:43,199 Speaker 1: it puts the CDC in the room in effect with 395 00:21:43,320 --> 00:21:45,200 Speaker 1: you when you see your doctor, the doctor that is 396 00:21:45,240 --> 00:21:47,320 Speaker 1: looking over their shoulders, saying, well, what will the CDC 397 00:21:47,480 --> 00:21:50,560 Speaker 1: think about my prescription to my prescription to this patient. 398 00:21:50,800 --> 00:21:52,560 Speaker 1: So they're no longer just thinking about the patient. They're 399 00:21:52,560 --> 00:21:54,760 Speaker 1: thinking about what will happen to their license if they 400 00:21:54,800 --> 00:21:57,480 Speaker 1: give their best advice to the patient. So I wrote 401 00:21:57,480 --> 00:21:59,280 Speaker 1: to oppose this law, and of course I do research, 402 00:21:59,320 --> 00:22:01,919 Speaker 1: I don't see patients. The chief author of this in 403 00:22:01,960 --> 00:22:05,520 Speaker 1: the State Center then attached me on Twitter, you know, 404 00:22:06,880 --> 00:22:09,680 Speaker 1: like just viciously trying to trying to undermine my reputation 405 00:22:09,800 --> 00:22:13,800 Speaker 1: for opposing this law, which which I think will harm 406 00:22:13,840 --> 00:22:16,680 Speaker 1: patience and will certainly suppress the speech of doctors who 407 00:22:16,760 --> 00:22:22,080 Speaker 1: to oppose ridiculous public health orders. Doctor. Thank you so much. 408 00:22:22,119 --> 00:22:28,200 Speaker 1: I appreciate you. Thank you. All Right, what is going on? 409 00:22:28,800 --> 00:22:32,959 Speaker 1: Speaking of censorship online? Elon Musk get war with Apple. 410 00:22:33,040 --> 00:22:34,960 Speaker 1: There's COVID stuff, and then we're going to talk to 411 00:22:35,000 --> 00:22:37,600 Speaker 1: Harry Frederick about that in just a moment. Before we 412 00:22:37,640 --> 00:22:40,160 Speaker 1: talk about that, let's talk about the fact your Christmas 413 00:22:40,160 --> 00:22:44,160 Speaker 1: gifts suck. No, not the ones you get, the ones 414 00:22:44,200 --> 00:22:46,720 Speaker 1: you give. Okay that you know what, that wasn't fair. 415 00:22:46,760 --> 00:22:49,680 Speaker 1: My Christmas gifts suck. I'm a bad gift giver. Everyone 416 00:22:49,760 --> 00:22:52,720 Speaker 1: knows I'm a bad gift giver. The wife says, it's 417 00:22:52,760 --> 00:22:56,480 Speaker 1: because I'm a hyperlogical thinker that if I see you 418 00:22:56,520 --> 00:22:58,600 Speaker 1: need something, I'll go buy that and get that for 419 00:22:58,640 --> 00:23:00,160 Speaker 1: you as a gift. And that doesn't tell you get 420 00:23:00,200 --> 00:23:02,280 Speaker 1: people's heartstrings. I don't know. I think that makes me 421 00:23:02,320 --> 00:23:04,320 Speaker 1: sound like a cold hearted monster. But I'm a bad 422 00:23:04,359 --> 00:23:08,720 Speaker 1: gift giver, so I need Grip six. Grip six is 423 00:23:08,760 --> 00:23:10,840 Speaker 1: how you do your Christmas shopping this year. What are 424 00:23:10,880 --> 00:23:15,720 Speaker 1: you gonna find there? Well belts, the most comfortable belts 425 00:23:15,720 --> 00:23:19,200 Speaker 1: ever and they look slick. The greatest socks you will 426 00:23:19,240 --> 00:23:21,280 Speaker 1: ever put on your feet. You've got to try these socks. 427 00:23:21,359 --> 00:23:26,560 Speaker 1: And my personal favorite these wallets. See these they have 428 00:23:26,600 --> 00:23:28,240 Speaker 1: a bunch of different designs. Yes, I know them on 429 00:23:28,400 --> 00:23:31,080 Speaker 1: is cool. You should know that you can also customize 430 00:23:31,080 --> 00:23:34,679 Speaker 1: your design, like if you wanted my face on your wallet, 431 00:23:34,720 --> 00:23:37,480 Speaker 1: and I wouldn't blame you if you did. You can 432 00:23:37,520 --> 00:23:41,840 Speaker 1: do that. It holds all my cards, right, the cards 433 00:23:41,880 --> 00:23:44,560 Speaker 1: don't come out. Why aren't they coming out? I'm trying 434 00:23:44,600 --> 00:23:46,480 Speaker 1: to shake them out. That must be a pain, right, 435 00:23:46,600 --> 00:23:48,200 Speaker 1: I Mean, it's nice to have the card secure, but 436 00:23:48,240 --> 00:23:51,359 Speaker 1: it must be a pain. Nope, I just squeeze and 437 00:23:51,400 --> 00:23:55,520 Speaker 1: they all pop out or lock back in. Go to 438 00:23:55,600 --> 00:23:59,480 Speaker 1: grip six dot com promo code Jesse because that gets 439 00:23:59,520 --> 00:24:02,359 Speaker 1: you especial shill discount. There's your one stop shop for 440 00:24:02,440 --> 00:24:06,480 Speaker 1: Christmas shopping this year. Socks, belts, wallets, grip six dot 441 00:24:06,520 --> 00:24:10,000 Speaker 1: com provocode Jesse saves you somebody, So don't forget that. 442 00:24:10,640 --> 00:24:19,919 Speaker 1: We'll be bad. Apple has also threatened to withhold Twitter 443 00:24:20,080 --> 00:24:23,879 Speaker 1: from its app store, but won't tell us why that 444 00:24:24,040 --> 00:24:28,080 Speaker 1: was Elon Musk? What is going on in the tech world? 445 00:24:28,119 --> 00:24:30,320 Speaker 1: What is going on? What's happening to Elon Musk? What's 446 00:24:30,320 --> 00:24:33,200 Speaker 1: going on at Apple? Let's talk to our expert friend 447 00:24:33,200 --> 00:24:36,400 Speaker 1: at the show, care of Frederick, Director of Tech Policy 448 00:24:36,560 --> 00:24:40,600 Speaker 1: Center and Heritage. All Right, Kara, First of all, why 449 00:24:40,600 --> 00:24:43,639 Speaker 1: should I care about Apple or why should Elon Musk 450 00:24:43,720 --> 00:24:47,399 Speaker 1: care about Apple and Twitter? I don't understand this social 451 00:24:47,480 --> 00:24:51,280 Speaker 1: media world. Explain to me. Okay, does anyone remember a 452 00:24:51,320 --> 00:24:56,000 Speaker 1: little application called Parlor and how it was effectively snuffed out, 453 00:24:56,480 --> 00:24:59,439 Speaker 1: completely kicked off the scene when it was the number 454 00:24:59,440 --> 00:25:02,440 Speaker 1: one app in the Apple App Store. Well, they're looking 455 00:25:02,440 --> 00:25:06,040 Speaker 1: to do the same thing to Twitter. So the problem 456 00:25:06,119 --> 00:25:10,119 Speaker 1: here is that Twitter and Google effectively have a duopoly 457 00:25:10,280 --> 00:25:13,400 Speaker 1: when it comes to the app marketplace. So if you're 458 00:25:13,440 --> 00:25:15,639 Speaker 1: not on the Google Play Store, if you're not an 459 00:25:15,720 --> 00:25:18,439 Speaker 1: Apple app store, then you are not going to be 460 00:25:18,520 --> 00:25:22,399 Speaker 1: able to frankly make it as an application Twitter. Everyone 461 00:25:22,480 --> 00:25:24,520 Speaker 1: uses Twitter on their phones, right, the dumb ones like 462 00:25:24,600 --> 00:25:27,760 Speaker 1: me use Twitter on their phones. Rarely does anyone actually 463 00:25:27,840 --> 00:25:31,440 Speaker 1: just use it or confine it to a desktop. So 464 00:25:31,960 --> 00:25:36,360 Speaker 1: the fact that Apple and I've heard that Google potentially 465 00:25:36,440 --> 00:25:38,000 Speaker 1: could be in the works to do this as well. 466 00:25:38,800 --> 00:25:43,040 Speaker 1: If they ban Twitter from their app stores, then no 467 00:25:43,080 --> 00:25:45,479 Speaker 1: one's really going to use it, and Elon loses a 468 00:25:45,520 --> 00:25:49,000 Speaker 1: ton of money. So we should care because, according to Elon, 469 00:25:49,119 --> 00:25:51,359 Speaker 1: Apple is threatening to do exactly what it did to 470 00:25:51,400 --> 00:25:58,159 Speaker 1: Parlor to Twitter. Okay, why what's Apple's problem? I just 471 00:25:58,200 --> 00:26:00,560 Speaker 1: assumed in this whole billionaire world, do you know Tim 472 00:26:00,640 --> 00:26:03,680 Speaker 1: Cook Elon Musk, I assumed they're all sipping chardnay together. 473 00:26:04,800 --> 00:26:08,600 Speaker 1: Uh yeah, yeah, we wish right. Alas, Elon Musk has 474 00:26:08,680 --> 00:26:12,520 Speaker 1: decided to make Twitter and an actual marketplace of ideas. 475 00:26:13,080 --> 00:26:16,600 Speaker 1: He wanted to be the free speech platform for not 476 00:26:16,640 --> 00:26:20,000 Speaker 1: just America, but the world. His idea is that he'll 477 00:26:20,160 --> 00:26:24,280 Speaker 1: use to take the First Amendment seriously and frankly use 478 00:26:24,320 --> 00:26:26,359 Speaker 1: it as sort of a guiding principle, you know, if 479 00:26:26,359 --> 00:26:28,960 Speaker 1: it's not against a law, etc. He's going to allow 480 00:26:28,960 --> 00:26:32,800 Speaker 1: it on his platform. So he wants to make Twitter 481 00:26:32,880 --> 00:26:36,880 Speaker 1: free again. Remember when Twitter, Jack Dorsey himself said that 482 00:26:36,960 --> 00:26:39,560 Speaker 1: we want to be a representative, said we want to 483 00:26:39,600 --> 00:26:42,959 Speaker 1: be the free speech wing of the free speech of party. Well, 484 00:26:43,200 --> 00:26:46,080 Speaker 1: that hasn't happened with Twitter as we know. It led 485 00:26:46,160 --> 00:26:48,680 Speaker 1: the way when it came to the Hunter Biden laptop 486 00:26:48,720 --> 00:26:52,080 Speaker 1: story suppression. They were even breaking links to that New 487 00:26:52,160 --> 00:26:55,560 Speaker 1: York Post story within the direct messages. So they've taken 488 00:26:55,680 --> 00:26:59,080 Speaker 1: a suppression of free speech to the end degree. And 489 00:26:59,200 --> 00:27:02,520 Speaker 1: Elon said, no, I want to restore this very influential 490 00:27:02,560 --> 00:27:06,480 Speaker 1: platform for a free speech, for freedom of expression and 491 00:27:06,880 --> 00:27:11,199 Speaker 1: the ideological monopoly of Facebook, of Google, of Amazon. They 492 00:27:11,200 --> 00:27:13,480 Speaker 1: don't like that and they want things to work as 493 00:27:13,480 --> 00:27:17,119 Speaker 1: they had before, and that is suppressing dissident or other 494 00:27:17,200 --> 00:27:23,880 Speaker 1: political perspectives that don't comport with this woke leftist ideology. Okay, 495 00:27:24,840 --> 00:27:28,960 Speaker 1: how influential is it, Kara? Because I always assume now 496 00:27:28,960 --> 00:27:31,600 Speaker 1: I'm on Twitter, I have a good time on there, 497 00:27:31,640 --> 00:27:34,520 Speaker 1: and it's useful to find news and things like that, 498 00:27:34,560 --> 00:27:37,119 Speaker 1: but I never assumed it was that big of a deal. 499 00:27:37,200 --> 00:27:40,440 Speaker 1: It's not a huge percentage of society that's even on it. 500 00:27:40,760 --> 00:27:43,560 Speaker 1: I didn't really understand how influential it was until I 501 00:27:43,600 --> 00:27:46,399 Speaker 1: saw all the communists freaking out about Elon Musk buying it. 502 00:27:46,520 --> 00:27:50,680 Speaker 1: How influential is the place exactly? And you hear that argument, Oh, 503 00:27:50,720 --> 00:27:54,240 Speaker 1: the greater majority of the population of America aren't on Twitter, 504 00:27:54,320 --> 00:27:56,760 Speaker 1: so it doesn't matter that much. No, this is the 505 00:27:57,119 --> 00:28:03,119 Speaker 1: This is the where the frankly, the politicians, celebrities, commentators, 506 00:28:03,280 --> 00:28:06,439 Speaker 1: people get their ideas. When Ron claimed, the Chief of 507 00:28:06,480 --> 00:28:09,439 Speaker 1: Staff of the White House is constantly on Twitter getting 508 00:28:09,600 --> 00:28:13,439 Speaker 1: ideas from you know, leftists and activists, you know they 509 00:28:13,480 --> 00:28:16,240 Speaker 1: that makes it important. I like to say things like, 510 00:28:16,440 --> 00:28:18,240 Speaker 1: you know, you might not be interested in Twitter, but 511 00:28:18,320 --> 00:28:21,479 Speaker 1: Twitter is interested in you. There are people who probably 512 00:28:21,480 --> 00:28:24,360 Speaker 1: have never been on the platform who've frankly lost their 513 00:28:24,440 --> 00:28:27,840 Speaker 1: jobs because of Twitter activist campaigns that have gone on. 514 00:28:28,359 --> 00:28:31,640 Speaker 1: If you look at some target banning books last year, 515 00:28:32,160 --> 00:28:34,720 Speaker 1: they did so because people with no followers on Twitter 516 00:28:34,880 --> 00:28:37,440 Speaker 1: kicked up a spink about it. And you know, books 517 00:28:37,440 --> 00:28:40,440 Speaker 1: were written from the platform so I think this platform 518 00:28:40,600 --> 00:28:44,680 Speaker 1: has inordinate influence, especially on you know, the tastemakers of 519 00:28:44,720 --> 00:28:47,600 Speaker 1: our day in the White House, etc. So when people 520 00:28:47,640 --> 00:28:51,640 Speaker 1: are on it, it actually matters that it is going 521 00:28:51,680 --> 00:28:57,800 Speaker 1: to be rested away from that ideological monopoly we talked about. Okay, 522 00:28:58,120 --> 00:29:01,520 Speaker 1: how much power? I mean you mentioned Google and Apple 523 00:29:01,560 --> 00:29:05,200 Speaker 1: control basically all of the app stores stuff, so they 524 00:29:05,280 --> 00:29:08,240 Speaker 1: can just crush him right with the with the snap 525 00:29:08,240 --> 00:29:11,440 Speaker 1: of their fingers. They can virtually smash elon musk into 526 00:29:11,440 --> 00:29:15,400 Speaker 1: the ground. Correct that that's the idea, and not just that, 527 00:29:15,680 --> 00:29:19,520 Speaker 1: but Amazon too. So you'll remember during the whole Parlor saga, 528 00:29:19,560 --> 00:29:22,959 Speaker 1: it was Amazon Web Services that withdrew their cloud hosting 529 00:29:23,040 --> 00:29:27,160 Speaker 1: services from Parlor. So Twitter runs on AWS as well. 530 00:29:27,240 --> 00:29:30,160 Speaker 1: So if Apple and Google, if if you know, people 531 00:29:30,160 --> 00:29:33,320 Speaker 1: still just use Twitter on their desktops, then Amazon could 532 00:29:33,400 --> 00:29:35,959 Speaker 1: pull the plug on Twitter as well. So he's not 533 00:29:36,080 --> 00:29:40,320 Speaker 1: safe even if he can, you know, vanquish the Apple 534 00:29:40,360 --> 00:29:43,200 Speaker 1: and the Google sort of going to war with him 535 00:29:43,200 --> 00:29:47,160 Speaker 1: as well. They've been a word that he's actually going 536 00:29:47,200 --> 00:29:49,920 Speaker 1: to make this you know, Tesla phone. He said. He 537 00:29:49,960 --> 00:29:52,280 Speaker 1: hopes it doesn't come to it, but you know, if 538 00:29:52,320 --> 00:29:56,719 Speaker 1: if Apple, Google, Amazon and the legs the work together 539 00:29:56,760 --> 00:29:59,080 Speaker 1: against him, then, I mean he might have no choice 540 00:29:59,120 --> 00:30:03,280 Speaker 1: then to get into that business at last. Okay, what's 541 00:30:03,400 --> 00:30:10,080 Speaker 1: app neutrality? App neutrality? That's a that's actually a good question. UM. 542 00:30:10,280 --> 00:30:14,320 Speaker 1: In terms of UM, I guess innovation and people sort 543 00:30:14,320 --> 00:30:18,080 Speaker 1: of being able to use tools that are you know, 544 00:30:18,200 --> 00:30:22,080 Speaker 1: have different perspectives. I would say making sure that those 545 00:30:22,160 --> 00:30:26,520 Speaker 1: applications are able to be used as neutral tools. I 546 00:30:26,560 --> 00:30:30,200 Speaker 1: think that would be something to think about when it 547 00:30:30,200 --> 00:30:35,200 Speaker 1: comes to app neutrality. Carol, will you handicap this for me? 548 00:30:35,240 --> 00:30:37,920 Speaker 1: Because I'm a cynic by nature. You're probably not as much, 549 00:30:37,920 --> 00:30:40,200 Speaker 1: and you probably shouldn't be, But I'm a cynic by nature. 550 00:30:40,560 --> 00:30:43,440 Speaker 1: I have always thought, hey, Alon must buy's Twitter. If 551 00:30:43,480 --> 00:30:45,960 Speaker 1: he's really going to go for free speech, there's no 552 00:30:46,040 --> 00:30:48,800 Speaker 1: way the powers that be are going to actually allow 553 00:30:48,880 --> 00:30:51,720 Speaker 1: even the richest man in the world to do it. There, 554 00:30:51,800 --> 00:30:56,200 Speaker 1: whether it's Apple, Google, Government, someone's going to smash him 555 00:30:56,480 --> 00:31:00,000 Speaker 1: or is he going to win? You know, I wouldn't 556 00:31:00,080 --> 00:31:03,280 Speaker 1: bet against Elon, but you have the krean Jean Pierre, 557 00:31:03,320 --> 00:31:06,560 Speaker 1: the White House Press Secretary herself saying we're keeping an 558 00:31:06,560 --> 00:31:09,440 Speaker 1: eye on Twitter and a lot of these tech companies 559 00:31:09,480 --> 00:31:12,520 Speaker 1: are are. You know, if they fear regulation, they fear 560 00:31:12,560 --> 00:31:15,840 Speaker 1: it from the left. So the way that they've sort 561 00:31:15,880 --> 00:31:19,320 Speaker 1: of worked hand in glove with a Biden administration to 562 00:31:19,320 --> 00:31:21,880 Speaker 1: police the speech of Americans, you know, I would not 563 00:31:22,000 --> 00:31:25,280 Speaker 1: be surprised if those kind of nudges were coming from 564 00:31:25,280 --> 00:31:27,920 Speaker 1: the White House to you know, work in tandem to 565 00:31:29,160 --> 00:31:31,400 Speaker 1: I would say, try to fight Elon Musk to the 566 00:31:31,400 --> 00:31:34,040 Speaker 1: best of their ability. But again, richest man in the world, 567 00:31:34,760 --> 00:31:37,880 Speaker 1: crazy like a fox. So I think that he has 568 00:31:37,960 --> 00:31:40,200 Speaker 1: some cards up as sleeve, and I wouldn't be surprised 569 00:31:40,200 --> 00:31:44,080 Speaker 1: if you played them. H I hope he does. Kara 570 00:31:44,400 --> 00:31:52,680 Speaker 1: appreciate you. Thanks Jesse. All right, China, what's going on 571 00:31:52,760 --> 00:31:55,400 Speaker 1: in China? What's going on in China with Apple? What's 572 00:31:55,440 --> 00:31:59,280 Speaker 1: going on in China with the COVID insanity. Steven Yates 573 00:31:59,320 --> 00:32:01,880 Speaker 1: is going to come give a little update on all that. Now, 574 00:32:02,800 --> 00:32:04,480 Speaker 1: maybe as you sit there and listen to me and 575 00:32:04,560 --> 00:32:08,480 Speaker 1: Kara talk about Apple and Google and all these corporations 576 00:32:08,480 --> 00:32:12,240 Speaker 1: that have gone nuts, maybe you're sitting there thinking, how 577 00:32:12,240 --> 00:32:15,600 Speaker 1: do we help? How do we fight back? I asked 578 00:32:15,600 --> 00:32:17,840 Speaker 1: myself this question all the time. What can I do? 579 00:32:18,080 --> 00:32:19,880 Speaker 1: What can you do? What can we do to fight 580 00:32:19,880 --> 00:32:25,360 Speaker 1: back our money corporations as they have grown to align 581 00:32:25,520 --> 00:32:28,480 Speaker 1: themselves with the communists in the government, they are now intertwined. 582 00:32:28,520 --> 00:32:31,000 Speaker 1: They're now one, so much of them in this country. 583 00:32:31,520 --> 00:32:33,720 Speaker 1: We can battle back with our money. Did you see 584 00:32:33,760 --> 00:32:37,400 Speaker 1: the newest Disney movie bombed at the box office? Because 585 00:32:37,440 --> 00:32:39,920 Speaker 1: you're putting your money where your morals are, you're being 586 00:32:39,960 --> 00:32:43,560 Speaker 1: more purposeful with where you spend and don't spend your money. 587 00:32:43,840 --> 00:32:46,960 Speaker 1: And we have a tool now we never had before. 588 00:32:46,960 --> 00:32:49,760 Speaker 1: Five years ago, ten years ago, we didn't have a tool. Hey, 589 00:32:49,840 --> 00:32:52,240 Speaker 1: where do I shop? What do I do? Now? We do? 590 00:32:52,800 --> 00:32:55,280 Speaker 1: Pick it up. It's right there in your phone, right 591 00:32:55,280 --> 00:32:56,680 Speaker 1: there in the app store in your phone. It's called 592 00:32:56,760 --> 00:33:01,280 Speaker 1: public sq. What is it? It's ever growing list and 593 00:33:01,480 --> 00:33:06,120 Speaker 1: ever going database of businesses that share your values. You're 594 00:33:06,120 --> 00:33:10,160 Speaker 1: heading out today, you gotta go pick up some Tamali's. 595 00:33:10,360 --> 00:33:13,200 Speaker 1: Would you like to know which local restaurant shares your 596 00:33:13,320 --> 00:33:17,520 Speaker 1: values and which one does not? Public sq it is 597 00:33:17,560 --> 00:33:20,000 Speaker 1: your one stop shop to put your money where your 598 00:33:20,040 --> 00:33:23,720 Speaker 1: morals are. Go download it today, all right, we'll be back. 599 00:33:29,360 --> 00:33:32,280 Speaker 1: The statement you issued or there was issued earlier today 600 00:33:32,840 --> 00:33:36,000 Speaker 1: didn't include any explicit costs for China to stuff, detaining, 601 00:33:36,680 --> 00:33:41,160 Speaker 1: enharming protesters and journalists. We're watching this closely, as you 602 00:33:41,240 --> 00:33:44,680 Speaker 1: might expect we would, and again we continue to stand 603 00:33:44,760 --> 00:33:47,520 Speaker 1: up and support the right of peaceful protest. And I 604 00:33:47,560 --> 00:33:49,440 Speaker 1: think we're going to watch this closely and we'll see 605 00:33:49,480 --> 00:33:54,479 Speaker 1: where things go. I love this administration. That's how you 606 00:33:54,520 --> 00:33:57,320 Speaker 1: know they're never going to do anything about something, whenever 607 00:33:57,320 --> 00:34:00,400 Speaker 1: they tell you we're watching it closely. Hey, we're watching mostly. 608 00:34:00,920 --> 00:34:02,400 Speaker 1: That tells you everything you need to know, and it's 609 00:34:02,400 --> 00:34:04,680 Speaker 1: telling China everything they need to know to joining me now, 610 00:34:04,720 --> 00:34:08,760 Speaker 1: Steven Yates's former deputy National Security advisor. All Right, Steven, 611 00:34:08,880 --> 00:34:11,359 Speaker 1: For those who are not aware, and many really are 612 00:34:11,400 --> 00:34:14,640 Speaker 1: not aware what's going on in China, why are there 613 00:34:14,680 --> 00:34:18,960 Speaker 1: all these protests. Well, there's a lot of reasons for 614 00:34:19,120 --> 00:34:23,800 Speaker 1: what's happening. There's accumulation of a lot of different things. 615 00:34:23,880 --> 00:34:29,719 Speaker 1: From the draconian COVID lockdowns that Americans know what lockdowns 616 00:34:29,719 --> 00:34:33,319 Speaker 1: are like, but not necessarily Chinese style COVID zero lockdowns. 617 00:34:33,560 --> 00:34:36,760 Speaker 1: People of Shanghai un lockdown for almost two full months. 618 00:34:37,239 --> 00:34:41,040 Speaker 1: The most extreme example happened in Shinjiang, where the Wagers 619 00:34:41,160 --> 00:34:44,560 Speaker 1: are the dominant ethnic group in the town of Urumchi 620 00:34:45,160 --> 00:34:50,480 Speaker 1: and a family was literally welded closed into their apartment 621 00:34:50,960 --> 00:34:55,000 Speaker 1: when a fire broke out, and on video you could 622 00:34:55,040 --> 00:34:59,239 Speaker 1: hear the family pleading for help and being killed in 623 00:34:59,280 --> 00:35:04,680 Speaker 1: the fire. That is what literally sparked the nationwide demonstrations 624 00:35:04,719 --> 00:35:09,240 Speaker 1: of this has just gone too far, and people across 625 00:35:09,360 --> 00:35:12,239 Speaker 1: China saw that if it happened to that family, it 626 00:35:12,280 --> 00:35:17,440 Speaker 1: could happen to them too, and they were fed up. Okay, 627 00:35:17,560 --> 00:35:20,360 Speaker 1: COVID zero, can you explain that for people don't know 628 00:35:20,400 --> 00:35:24,160 Speaker 1: what that term means. Yeah, Well, if you just imagine 629 00:35:24,200 --> 00:35:28,839 Speaker 1: what faucism taken to its extreme might be about, all 630 00:35:28,880 --> 00:35:34,680 Speaker 1: that you might do under the worst lockdowns, distancing, multiple jabs, 631 00:35:34,719 --> 00:35:38,279 Speaker 1: whatever your theory is, just amplify that, and that's what 632 00:35:38,360 --> 00:35:41,160 Speaker 1: China is trying to do. Adding in tracking devices and 633 00:35:41,239 --> 00:35:44,279 Speaker 1: what have you, so that if you want to enter 634 00:35:44,480 --> 00:35:48,120 Speaker 1: or exit a public building or public transportation, you have 635 00:35:48,200 --> 00:35:51,040 Speaker 1: to put your smartphone or some other device up and 636 00:35:51,080 --> 00:35:53,759 Speaker 1: it will give a red, yellow, or green signal and 637 00:35:53,800 --> 00:35:56,440 Speaker 1: if you get the wrong signal, you do not pass go. 638 00:35:56,680 --> 00:36:01,200 Speaker 1: You immediately go into severe quarantine, and so does everyone 639 00:36:01,239 --> 00:36:03,640 Speaker 1: else who came in contact with you or might live 640 00:36:03,760 --> 00:36:06,200 Speaker 1: near you. And that's why you see some video from 641 00:36:06,239 --> 00:36:09,920 Speaker 1: time to time of employees fleeing for their lives because 642 00:36:10,000 --> 00:36:12,960 Speaker 1: word has spread that a coworker or someone in a 643 00:36:13,040 --> 00:36:16,399 Speaker 1: dorm has tested positive and they don't want to get 644 00:36:16,440 --> 00:36:20,440 Speaker 1: locked down indefinitely with no reliable access to food or 645 00:36:20,480 --> 00:36:25,400 Speaker 1: other resources. Okay, I have a really stupid question, Steven, 646 00:36:25,440 --> 00:36:26,879 Speaker 1: but you've been on quite a few times to get 647 00:36:26,920 --> 00:36:30,320 Speaker 1: used to that by now. China is a gigantic place. 648 00:36:30,440 --> 00:36:32,880 Speaker 1: It's just physically it's a huge place, and then the 649 00:36:33,000 --> 00:36:35,960 Speaker 1: number of people there. It's a big, big place. Everyone 650 00:36:36,000 --> 00:36:39,920 Speaker 1: knows this. How can the government possibly have the data 651 00:36:40,000 --> 00:36:43,319 Speaker 1: centers and ability to do that kind of tracking or 652 00:36:43,360 --> 00:36:46,320 Speaker 1: is this just I'm assuming in only in urban areas 653 00:36:46,400 --> 00:36:48,799 Speaker 1: or something. There's no way they have the whole population 654 00:36:48,840 --> 00:36:53,359 Speaker 1: on lockdown like this, right, Well, the urban areas are 655 00:36:53,440 --> 00:36:56,560 Speaker 1: a lot of the population, and so they got that 656 00:36:56,800 --> 00:37:00,200 Speaker 1: a lot of that billion plus population just getting to 657 00:37:00,239 --> 00:37:03,880 Speaker 1: the coastal areas and the big cities. The interior cities 658 00:37:03,920 --> 00:37:06,600 Speaker 1: that are big also cover a lot of the remainder 659 00:37:06,640 --> 00:37:10,960 Speaker 1: of that population. And this is a society where they 660 00:37:11,040 --> 00:37:17,680 Speaker 1: have given into pretty intrusive technology and other kinds of 661 00:37:17,760 --> 00:37:22,320 Speaker 1: systems that grew out of the communist cultural revolution, where 662 00:37:23,080 --> 00:37:28,319 Speaker 1: neighbors and nosy nancies around the corner would spy on 663 00:37:28,360 --> 00:37:31,799 Speaker 1: each other and spread rumors and people would get called out. 664 00:37:31,880 --> 00:37:36,160 Speaker 1: Now it's been weaponized with technology. And if you have 665 00:37:36,200 --> 00:37:39,320 Speaker 1: a country like China where the government couldn't care less 666 00:37:39,760 --> 00:37:44,799 Speaker 1: about people, human dignity, privacy, ethics, any of that, this 667 00:37:45,120 --> 00:37:47,919 Speaker 1: is what is coming to a home near you if 668 00:37:47,920 --> 00:37:52,839 Speaker 1: we don't protect institutions and freedom and checks and balances 669 00:37:53,200 --> 00:37:58,560 Speaker 1: even in our own system. Okay, one question I have 670 00:37:58,840 --> 00:38:02,680 Speaker 1: is their economy. Now, China's economy is well. I mean, 671 00:38:02,719 --> 00:38:04,640 Speaker 1: I know they're tearing down ghost cities or at least 672 00:38:04,680 --> 00:38:07,880 Speaker 1: abandoning them. They're building whole cities and leaving them be. 673 00:38:08,239 --> 00:38:11,240 Speaker 1: Then they're spending huge amounts of money in foreign lands 674 00:38:11,280 --> 00:38:14,480 Speaker 1: to gain global influence. At the same time they're locking 675 00:38:14,520 --> 00:38:17,000 Speaker 1: down their own economy in ways no one else is doing. 676 00:38:17,080 --> 00:38:21,439 Speaker 1: Right now, how do they have the money for this, Well, 677 00:38:21,480 --> 00:38:23,799 Speaker 1: they have the same the way the North Koreans have 678 00:38:23,880 --> 00:38:26,600 Speaker 1: money to starve their people for a generation and still 679 00:38:26,640 --> 00:38:31,120 Speaker 1: develop nuclear weapons. I'm guessing that they got a cool 680 00:38:31,239 --> 00:38:34,600 Speaker 1: mint for providing some supplies to Putin's armies for the 681 00:38:34,600 --> 00:38:38,120 Speaker 1: invasion of Ukraine and other kinds of things. There seems 682 00:38:38,120 --> 00:38:41,680 Speaker 1: to be a high level of tolerance for pain among 683 00:38:41,719 --> 00:38:45,719 Speaker 1: the Chinese people and the Chinese government. For sure, You're 684 00:38:45,760 --> 00:38:49,640 Speaker 1: not wrong. They're doing everything to make things harder for 685 00:38:49,840 --> 00:38:53,200 Speaker 1: their people and their economy. There is no way these lockdowns, 686 00:38:53,239 --> 00:38:55,879 Speaker 1: from the ones in Shanghai months ago to the ones 687 00:38:56,120 --> 00:38:58,600 Speaker 1: rolling through the country now, there's no way this doesn't 688 00:38:58,600 --> 00:39:03,080 Speaker 1: have a devastating impact on their gross domestic product. But 689 00:39:03,440 --> 00:39:06,719 Speaker 1: by brute force and the fear that you or a 690 00:39:06,760 --> 00:39:12,320 Speaker 1: member of your family might get disappeared, that people comply, Okay, 691 00:39:12,400 --> 00:39:15,000 Speaker 1: how much are they helping Russia, because we haven't heard 692 00:39:15,080 --> 00:39:19,480 Speaker 1: very much about that, China helping Russia out. Yeah, funny 693 00:39:19,560 --> 00:39:21,759 Speaker 1: that we don't get a lot of coverage about that 694 00:39:21,840 --> 00:39:25,600 Speaker 1: because seemingly anything that flows into that theater just disappears 695 00:39:25,600 --> 00:39:30,120 Speaker 1: into a discussion about Ukraine by itself. But yeah, really, 696 00:39:30,160 --> 00:39:34,360 Speaker 1: from the beginning of this conflict, Putin went to China, 697 00:39:34,560 --> 00:39:37,960 Speaker 1: had a conversation with chijingping on the margins of the Olympics. 698 00:39:38,000 --> 00:39:40,520 Speaker 1: All of this was kind of a known known as 699 00:39:40,560 --> 00:39:44,760 Speaker 1: the ghost of Don Rumsfeld would say, And going forward, 700 00:39:44,800 --> 00:39:47,920 Speaker 1: there have been other meetings in Central Asia and elsewhere 701 00:39:48,360 --> 00:39:54,080 Speaker 1: were cheap prices on fuel were provided by Russia to China, 702 00:39:54,200 --> 00:39:58,000 Speaker 1: and arms and other material support were given by China 703 00:39:58,080 --> 00:40:01,960 Speaker 1: to Russia. Who knows what it gets used for, but 704 00:40:02,080 --> 00:40:08,960 Speaker 1: a reasonable person could guess, okay, Taiwan. The Taiwan question 705 00:40:09,120 --> 00:40:13,399 Speaker 1: keeps coming up. It feels like everyone thinks this is inevitable, 706 00:40:13,560 --> 00:40:18,319 Speaker 1: is it? It's not inevitable. Nothing is inevitable, but it's 707 00:40:18,400 --> 00:40:22,240 Speaker 1: definitely the case that Chijing paying and the Communist Party 708 00:40:22,440 --> 00:40:26,800 Speaker 1: seek to use every form of pressure, influence, and maybe 709 00:40:26,840 --> 00:40:30,120 Speaker 1: even attack at some point to try to make Taiwan 710 00:40:30,239 --> 00:40:33,719 Speaker 1: come into the fold. There were local elections in Taiwan 711 00:40:33,880 --> 00:40:39,040 Speaker 1: last weekend where the party that tends to seek negotiation 712 00:40:39,200 --> 00:40:43,400 Speaker 1: with China got an advantage. A rational person in Beijing, 713 00:40:43,600 --> 00:40:47,279 Speaker 1: if they exist at this point with any influence, would say, 714 00:40:47,320 --> 00:40:49,760 Speaker 1: there's no need to push the envelope right now because 715 00:40:49,800 --> 00:40:53,600 Speaker 1: Taiwan politics, the pendulum is swinging back and forth, and 716 00:40:53,640 --> 00:40:56,560 Speaker 1: there's no reason for fear or concern right now. But 717 00:40:56,600 --> 00:40:59,280 Speaker 1: then again, if there's a rational person in charge in Beijing, 718 00:40:59,520 --> 00:41:02,359 Speaker 1: they wouldn't be thinking they need to take advantage of 719 00:41:02,360 --> 00:41:08,040 Speaker 1: Taiwan anyway. They benefited enormously from investment and other exchanges 720 00:41:08,080 --> 00:41:10,919 Speaker 1: from Taiwan and their growth. It would make no good 721 00:41:10,960 --> 00:41:13,040 Speaker 1: sense to kill the goose to lay the golden egg. 722 00:41:13,480 --> 00:41:15,920 Speaker 1: But again, if they followed that thinking, they wouldn't have 723 00:41:15,960 --> 00:41:20,839 Speaker 1: crushed Hong Kong okay. Which brings us to Apple because 724 00:41:20,880 --> 00:41:23,839 Speaker 1: I saw this from Business insider. Apple puts a ten 725 00:41:23,880 --> 00:41:27,720 Speaker 1: minute time limit on air drop in China after protesters 726 00:41:27,880 --> 00:41:31,759 Speaker 1: used it to spread posters opposing President g and the 727 00:41:31,840 --> 00:41:36,080 Speaker 1: Chinese government. Apple was siding with the communist Chinese Party. 728 00:41:36,120 --> 00:41:39,960 Speaker 1: Do I have that right? Yeah? This is outrageous, but 729 00:41:40,239 --> 00:41:43,480 Speaker 1: not a surprise for corporate woke folk who like to 730 00:41:43,640 --> 00:41:47,880 Speaker 1: crap on America but then enable the most brutal regimes 731 00:41:47,880 --> 00:41:51,920 Speaker 1: around the world. Starting from the Green Revolution in Iran 732 00:41:52,320 --> 00:41:56,200 Speaker 1: a decade ago, it was known that those that organized 733 00:41:56,200 --> 00:41:59,560 Speaker 1: would use social media and technological tools to try to 734 00:41:59,560 --> 00:42:02,920 Speaker 1: communicy cadden organize. Air drop was one of the ways 735 00:42:02,960 --> 00:42:06,960 Speaker 1: that people were getting around sensors and monitoring. The Chinese 736 00:42:07,239 --> 00:42:10,560 Speaker 1: government puts in a request to limit in an update 737 00:42:10,760 --> 00:42:14,480 Speaker 1: miraculously targeted to that geography and not the rest of 738 00:42:14,520 --> 00:42:18,280 Speaker 1: the world, limits the menu of options for air drop users. 739 00:42:18,600 --> 00:42:21,560 Speaker 1: It's an absolute outrage. Never should have happened. It's an 740 00:42:21,560 --> 00:42:25,799 Speaker 1: example of malign CCP influence getting into big tech. But 741 00:42:25,880 --> 00:42:29,040 Speaker 1: again not a surprise. We knew this was happening, only 742 00:42:29,080 --> 00:42:33,440 Speaker 1: surprises we caught them. Is there something we should be 743 00:42:33,440 --> 00:42:37,080 Speaker 1: doing to Apple about this? Well, I don't think that 744 00:42:37,200 --> 00:42:39,880 Speaker 1: people that any company should be able to enjoy the 745 00:42:39,960 --> 00:42:43,000 Speaker 1: benefits of market access in the United States. If they're 746 00:42:43,160 --> 00:42:47,680 Speaker 1: enabling hostile powers that seem to undermine the American way 747 00:42:47,680 --> 00:42:51,000 Speaker 1: of life, that might be a wild and wacky way 748 00:42:51,040 --> 00:42:54,120 Speaker 1: of thinking. But I don't think that any of these 749 00:42:54,120 --> 00:42:57,400 Speaker 1: companies that are bending to the Chinese Communist Party's oppression 750 00:42:57,840 --> 00:43:00,920 Speaker 1: against the leaguers and that genocide, the crushing of Hong 751 00:43:01,000 --> 00:43:03,799 Speaker 1: Kong as the financial window into the world, or any 752 00:43:03,800 --> 00:43:06,920 Speaker 1: of this stuff that they should have uninhibited access to 753 00:43:07,040 --> 00:43:10,799 Speaker 1: our markets. Congress talked about raining in big tech and 754 00:43:10,920 --> 00:43:14,080 Speaker 1: social media. The new Congress really needs to step in 755 00:43:14,200 --> 00:43:18,680 Speaker 1: and make it serious. Stephen Yates, thank you, sir, I 756 00:43:18,719 --> 00:43:25,879 Speaker 1: appreciate it, my pleasure. Thank you. All right, speaking of 757 00:43:26,239 --> 00:43:31,880 Speaker 1: Elon musk AOC, my buddy May's put together a hilarious 758 00:43:31,960 --> 00:43:34,000 Speaker 1: light in the mood. Will play it for you next. 759 00:43:42,600 --> 00:43:45,920 Speaker 1: All right, it's time to lighten the mood and I 760 00:43:46,000 --> 00:43:49,080 Speaker 1: do love a good internet video mashup. I'm not sure 761 00:43:49,080 --> 00:43:53,000 Speaker 1: if anybody does it better than May's just super super talented. 762 00:43:53,080 --> 00:43:56,160 Speaker 1: So AOC and Elon Musk have been tripping back and 763 00:43:56,200 --> 00:43:58,600 Speaker 1: forth at each other, and I thought, this is just 764 00:43:59,440 --> 00:44:17,520 Speaker 1: so well, I apologize, that is perfect. I'm breaking all 765 00:44:17,520 --> 00:44:19,480 Speaker 1: the roles. I'm breaking all the roles. I guess so 766 00:44:19,760 --> 00:44:28,000 Speaker 1: we might make some mistakes, who knows. I think one 767 00:44:28,040 --> 00:44:30,880 Speaker 1: of the biggest problems we have in DC is that 768 00:44:30,920 --> 00:44:34,840 Speaker 1: everyone's egos are too big. I actually prefer to have 769 00:44:34,960 --> 00:44:41,600 Speaker 1: no titles a role. You're opening yourself up. I'm just 770 00:44:41,680 --> 00:44:59,360 Speaker 1: being me. Let's go yeah, absolutely, absolutely, Oh, let's seeable. 771 00:45:08,960 --> 00:45:11,680 Speaker 1: Each morning, the President of the United States receives a 772 00:45:11,760 --> 00:45:15,240 Speaker 1: highly classified briefing on the most important issues facing the country. 773 00:45:15,600 --> 00:45:19,160 Speaker 1: It's called the President's Daily Brief, or PDB. It's delivered 774 00:45:19,200 --> 00:45:22,239 Speaker 1: by America's spies and analysts. Well, now you can hear 775 00:45:22,320 --> 00:45:25,360 Speaker 1: your very own PDB in the form of a podcast 776 00:45:25,440 --> 00:45:29,480 Speaker 1: hosted by me Brian Dean Wright, a former CIA operations officer. 777 00:45:29,840 --> 00:45:32,560 Speaker 1: Each morning at six am Eastern, I'll bring you fifteen 778 00:45:32,600 --> 00:45:35,240 Speaker 1: to twenty minutes of the most important issues facing the country. 779 00:45:35,600 --> 00:45:38,880 Speaker 1: Giving you the critical intelligence and analysis you need to 780 00:45:39,000 --> 00:45:40,160 Speaker 1: start your morning