1 00:00:01,960 --> 00:00:05,440 Speaker 1: The DOJ Special counsel coming after Trump. We have a 2 00:00:05,519 --> 00:00:09,559 Speaker 1: nightclub shooting Natalie Winters. We have a hilarious light in 3 00:00:09,600 --> 00:00:21,400 Speaker 1: the mood all that's coming up. And I'm right, everything's political. Now? 4 00:00:22,440 --> 00:00:25,760 Speaker 1: Have you ever said those words? I hate that everything's political? Now? 5 00:00:26,079 --> 00:00:29,880 Speaker 1: Why is everything political? Now? I've said those words a lot, 6 00:00:30,680 --> 00:00:34,720 Speaker 1: a lot. I miss you know what I miss? I 7 00:00:34,840 --> 00:00:39,840 Speaker 1: miss football. I miss waking up on Sunday old church 8 00:00:39,880 --> 00:00:42,920 Speaker 1: with the fam, stopping at the grocery store on the 9 00:00:43,000 --> 00:00:46,880 Speaker 1: way home, hitting some burghers and dogs and chips and such, 10 00:00:47,680 --> 00:00:50,680 Speaker 1: gathering around for the big game. Maybe invite a buddy over, 11 00:00:50,720 --> 00:00:54,080 Speaker 1: a couple of beers and watching football. I haven't watched football, 12 00:00:54,120 --> 00:00:58,720 Speaker 1: professional football in years now. Got political sucks. I miss 13 00:00:59,240 --> 00:01:01,800 Speaker 1: non political movies. And if you're a young person, I 14 00:01:01,880 --> 00:01:06,240 Speaker 1: want to explain something really, really quickly. I know you've 15 00:01:06,280 --> 00:01:09,480 Speaker 1: only ever known a world where everything is political. But 16 00:01:09,640 --> 00:01:13,319 Speaker 1: I'm over. I'm only forty one, and most of my 17 00:01:13,400 --> 00:01:15,800 Speaker 1: life I have lived where things weren't political. I want 18 00:01:15,840 --> 00:01:18,640 Speaker 1: to believe me. Hear me out here. If you're young, 19 00:01:18,720 --> 00:01:20,680 Speaker 1: you won't realize this. But when I was a kid, 20 00:01:20,800 --> 00:01:22,560 Speaker 1: most of my life, when I was in my twenties, 21 00:01:22,600 --> 00:01:25,199 Speaker 1: you could actually get up in the morning and get 22 00:01:25,200 --> 00:01:29,160 Speaker 1: ready for work and turn on ESPN and it would 23 00:01:29,200 --> 00:01:33,720 Speaker 1: just be sports that wild. It would just be sports. 24 00:01:33,800 --> 00:01:36,520 Speaker 1: There's highlights and look at this down because it's that 25 00:01:36,560 --> 00:01:40,520 Speaker 1: world did exist. You would watch movies and you would 26 00:01:40,520 --> 00:01:43,679 Speaker 1: have no idea the political leanings of the cast, or 27 00:01:43,680 --> 00:01:46,000 Speaker 1: the director, or the writers or anything. It was just 28 00:01:46,040 --> 00:01:48,560 Speaker 1: a good old movie most of the movies. That's kind 29 00:01:48,600 --> 00:01:51,680 Speaker 1: of how they were. That was the world a while ago. 30 00:01:52,480 --> 00:01:55,040 Speaker 1: We don't have that world anymore, and I miss it. 31 00:01:55,720 --> 00:01:57,440 Speaker 1: But we got to accept life as it is. But 32 00:01:57,520 --> 00:02:02,600 Speaker 1: why don't we have that world anymore? Well, we have 33 00:02:02,720 --> 00:02:04,920 Speaker 1: to understand, and I know if you watch I'm right 34 00:02:05,000 --> 00:02:07,880 Speaker 1: every single night, you do understand this. We have to understand. 35 00:02:08,400 --> 00:02:12,760 Speaker 1: We are one dealing with communists. We're dealing with cultural Marxists. 36 00:02:12,760 --> 00:02:17,600 Speaker 1: They're not while they're left. He's liberal. It's just the democrat. No, no, no, no, 37 00:02:17,720 --> 00:02:23,720 Speaker 1: you're dealing with religious zealots. Religious zealots, they worship the 38 00:02:23,760 --> 00:02:26,880 Speaker 1: god of destruction and misery. That's what they do. They 39 00:02:26,960 --> 00:02:30,400 Speaker 1: live to destroy. That's what the communist does. And because 40 00:02:30,440 --> 00:02:34,560 Speaker 1: he lives to destroy, he ends up taking over things 41 00:02:34,639 --> 00:02:38,560 Speaker 1: that would never occur to you to even protect What 42 00:02:38,680 --> 00:02:41,160 Speaker 1: do you mean they're going to take over Nickelodeon and 43 00:02:41,240 --> 00:02:43,760 Speaker 1: put drag queens on the stream. Why why did they 44 00:02:43,800 --> 00:02:46,360 Speaker 1: do that? It wouldn't even occur to you. But we 45 00:02:46,440 --> 00:02:51,200 Speaker 1: have to understand because we're dealing with religious zealots. It 46 00:02:51,280 --> 00:02:55,720 Speaker 1: would never occur to him to not take over Nickelodeon. 47 00:02:57,080 --> 00:03:00,840 Speaker 1: Communism has to be for all, has to be for everybody, 48 00:03:01,400 --> 00:03:06,760 Speaker 1: and so they inject politics their religion into everything. If 49 00:03:06,840 --> 00:03:09,320 Speaker 1: you're a maybe you're a devoutly religious person, maybe you're 50 00:03:09,320 --> 00:03:13,600 Speaker 1: a Christian, do you ever as a Christian? Do you 51 00:03:13,720 --> 00:03:17,760 Speaker 1: ever set Jesus aside in your life? Hey? Like, hey Jesus, 52 00:03:17,760 --> 00:03:20,160 Speaker 1: sit this one out all right? Hang out, hey Jesus, 53 00:03:20,160 --> 00:03:22,760 Speaker 1: not today? Please just sit over there now. Of course 54 00:03:22,800 --> 00:03:25,440 Speaker 1: you don't. Well, if you think of the communists in 55 00:03:25,560 --> 00:03:27,960 Speaker 1: that way, it'll help you understand why he does what 56 00:03:28,040 --> 00:03:30,600 Speaker 1: he does. We had a little mass shooting over us. 57 00:03:30,600 --> 00:03:32,960 Speaker 1: Shouldn't say little mass shoot. Any mass shooting is band right. 58 00:03:33,040 --> 00:03:36,240 Speaker 1: Mass shooting in Colorado over the weekend, some gay nightclub 59 00:03:36,280 --> 00:03:40,880 Speaker 1: people got shots. Some dude walks in there, and immediately 60 00:03:41,560 --> 00:03:44,120 Speaker 1: Joe Biden puts out a press release and says. He 61 00:03:44,120 --> 00:03:45,920 Speaker 1: even says in the press release, Hey, we don't know 62 00:03:45,960 --> 00:03:48,640 Speaker 1: what the motives are, but people have been attacking gay 63 00:03:48,680 --> 00:03:52,400 Speaker 1: people for far too long. Immediately he goes into the 64 00:03:52,520 --> 00:03:56,400 Speaker 1: gay stuff, and then immediately he calls for an assault 65 00:03:56,440 --> 00:04:00,080 Speaker 1: weapons band. And I thought about this because again, and 66 00:04:00,160 --> 00:04:02,160 Speaker 1: if you're young, you won't remember this, but I'm telling 67 00:04:02,200 --> 00:04:04,920 Speaker 1: you it used to be this way in the wake 68 00:04:04,960 --> 00:04:08,960 Speaker 1: of something terrible like a mass shooting. We didn't used 69 00:04:09,000 --> 00:04:14,520 Speaker 1: to have politicians running to the microphone, getting on camera 70 00:04:14,920 --> 00:04:17,240 Speaker 1: and trying to make it political. In fact, if they 71 00:04:17,279 --> 00:04:19,840 Speaker 1: had tried, there would have been all kind of public 72 00:04:19,880 --> 00:04:24,080 Speaker 1: pushback because when something terrible happens, something tragic happens, remember, 73 00:04:24,200 --> 00:04:27,800 Speaker 1: that's a time to come together. That's when we have 74 00:04:27,800 --> 00:04:31,240 Speaker 1: to come together and mourn. If your neighbor loses her husband, 75 00:04:31,520 --> 00:04:35,000 Speaker 1: loses his wife, do you run over, knocked on the door. Yeah, 76 00:04:35,040 --> 00:04:37,320 Speaker 1: he was a he was a jerk. Anyway, I'm glad 77 00:04:37,320 --> 00:04:40,960 Speaker 1: he's gone, of course not. You come over, you bring 78 00:04:41,000 --> 00:04:43,760 Speaker 1: a meal, If they need comfort, you sit down with them, 79 00:04:43,800 --> 00:04:46,920 Speaker 1: cry with a prey with them. That's that's the human experience. 80 00:04:46,960 --> 00:04:51,280 Speaker 1: We have to have time to mourn. But now it 81 00:04:51,320 --> 00:04:55,200 Speaker 1: has becomes simply the norm that every major Democrat in 82 00:04:55,200 --> 00:04:59,200 Speaker 1: the country whenever a mass shooting happens, immediately it's hey, 83 00:04:59,480 --> 00:05:02,520 Speaker 1: campaign team, all hands on deck. Nice, we got some 84 00:05:02,600 --> 00:05:06,000 Speaker 1: dead people. Time to grab some guns. Guys with no 85 00:05:06,240 --> 00:05:09,600 Speaker 1: thought at all to the country. They even took over 86 00:05:09,720 --> 00:05:13,840 Speaker 1: the communists in this country, even took over the grieving process. 87 00:05:14,400 --> 00:05:16,880 Speaker 1: And I hate Barack Obama for many, many many reasons 88 00:05:16,920 --> 00:05:20,440 Speaker 1: I do, But I've told you this before. The thing 89 00:05:20,480 --> 00:05:24,400 Speaker 1: I hate Obama for the most is Barack Obama is 90 00:05:24,400 --> 00:05:27,279 Speaker 1: the one because he's a vile street communist and always was. 91 00:05:27,279 --> 00:05:30,560 Speaker 1: It's how he was raised. Barack Obama was the one 92 00:05:30,560 --> 00:05:34,800 Speaker 1: who mainstreamed this stuff. For eight years. Every time there 93 00:05:34,880 --> 00:05:37,080 Speaker 1: was a shooting, Obama would simply get up and say, 94 00:05:37,080 --> 00:05:39,760 Speaker 1: grab the guns immediately. He would make it political as 95 00:05:39,800 --> 00:05:42,720 Speaker 1: president of the United States of America, He's the one 96 00:05:42,760 --> 00:05:45,000 Speaker 1: who did this. Remember this was Obama after the Pulse 97 00:05:45,120 --> 00:05:51,000 Speaker 1: nightclub shooting today marks the most deadly shooting in American history. 98 00:05:51,920 --> 00:05:54,400 Speaker 1: The shooter was apparently armed with a handgun and a 99 00:05:54,440 --> 00:05:59,920 Speaker 1: powerful assault rifle. This masker is therefore a further reminder 100 00:06:00,800 --> 00:06:02,840 Speaker 1: how easy it is for someone to get their hands 101 00:06:02,839 --> 00:06:05,640 Speaker 1: on a weapon that lets them shoot people in a school, 102 00:06:06,400 --> 00:06:09,239 Speaker 1: or in a house of worship, or a movie theater 103 00:06:09,960 --> 00:06:13,880 Speaker 1: or in a nightclub, and we have to decide if 104 00:06:13,880 --> 00:06:16,240 Speaker 1: that's the kind of country we want to be, and 105 00:06:16,320 --> 00:06:21,279 Speaker 1: to actively do nothing is a decision as well. Fifty 106 00:06:21,279 --> 00:06:27,360 Speaker 1: people dead, fifty family's heartbroken. Getting the phone call, everyone dreads. Right, 107 00:06:27,360 --> 00:06:29,719 Speaker 1: you have someone who care about in your life. Maybe 108 00:06:29,720 --> 00:06:33,880 Speaker 1: it's a spouse, mother, father, brother's sister, maybe it's a child. 109 00:06:34,000 --> 00:06:36,080 Speaker 1: God forbid, but we all think about it from time 110 00:06:36,080 --> 00:06:38,360 Speaker 1: to time. What if you got that phone call. I've 111 00:06:38,360 --> 00:06:39,920 Speaker 1: got my phone in my hands right now. What if 112 00:06:39,920 --> 00:06:43,000 Speaker 1: I got that phone call during the show Jesse, come home. 113 00:06:43,040 --> 00:06:47,919 Speaker 1: There's been an accident. The phone call, everyone dreads. Fifty 114 00:06:48,000 --> 00:06:50,679 Speaker 1: people just got that phone call right after that mass shooting. 115 00:06:51,120 --> 00:06:54,800 Speaker 1: Fifty people finding out someone they love is gone. The 116 00:06:54,920 --> 00:06:58,440 Speaker 1: President immediately gets up and tries to grab guns with it. 117 00:06:59,560 --> 00:07:01,839 Speaker 1: He's the one who mainstreamed this. But I want you 118 00:07:01,880 --> 00:07:05,200 Speaker 1: to understand something. It wasn't always this way, and it's sick, 119 00:07:05,240 --> 00:07:08,920 Speaker 1: and it's evil and it's wrong. Pelosi came out this 120 00:07:08,960 --> 00:07:12,720 Speaker 1: stuff would have been widely rejected by the public ten 121 00:07:12,800 --> 00:07:15,880 Speaker 1: years ago, maybe maybe fifteen. Pelosi comes out right away, 122 00:07:16,000 --> 00:07:20,360 Speaker 1: whether spouting dangerous rhetoric from cable newsdesks or openly bullying 123 00:07:20,400 --> 00:07:24,240 Speaker 1: school children from the halls of power, magarepublicans are cruelly 124 00:07:24,360 --> 00:07:29,200 Speaker 1: undermining the safety and well being of our transgender community. Immediately, 125 00:07:29,560 --> 00:07:34,360 Speaker 1: without hesitation, it's guns and of course those maga people. 126 00:07:34,840 --> 00:07:36,880 Speaker 1: And let's switch gears here real quick and talk about 127 00:07:36,880 --> 00:07:42,880 Speaker 1: those maga people, because well, special counsel now courtesy of 128 00:07:42,920 --> 00:07:46,600 Speaker 1: Merritt Garland. The Department of Justice has long recognized that 129 00:07:46,680 --> 00:07:50,560 Speaker 1: in certain extraordinary cases, it is in the public interest 130 00:07:50,640 --> 00:07:54,920 Speaker 1: to appoint a special prosecutor to independently manage an investigation 131 00:07:54,960 --> 00:08:00,600 Speaker 1: and prosecution. Based on recent developments, including the former president's 132 00:08:00,600 --> 00:08:03,120 Speaker 1: announcement that he is a candidate for president in the 133 00:08:03,200 --> 00:08:07,280 Speaker 1: next election and the sitting president stated intention to be 134 00:08:07,320 --> 00:08:10,800 Speaker 1: a candidate as well, I have concluded that it is 135 00:08:10,840 --> 00:08:15,800 Speaker 1: in the public interest to appoint a special counsel. Oh, 136 00:08:15,840 --> 00:08:17,800 Speaker 1: of course, he just wants to do the right thing. 137 00:08:18,480 --> 00:08:22,600 Speaker 1: Except the special counsel he appointed is a far left 138 00:08:22,640 --> 00:08:26,400 Speaker 1: communist tack with actually a history of already using his 139 00:08:26,520 --> 00:08:31,440 Speaker 1: power to attack people on the right. Donald Trump, I've 140 00:08:31,480 --> 00:08:33,720 Speaker 1: been warning you about this for a long time. Maybe 141 00:08:33,760 --> 00:08:35,520 Speaker 1: you're a big Trump fan, maybe you've got your Trump 142 00:08:35,559 --> 00:08:38,199 Speaker 1: had on right now as you watch. Donald Trump is 143 00:08:38,200 --> 00:08:41,440 Speaker 1: in serious trouble. He is not because he did anything wrong. 144 00:08:41,480 --> 00:08:44,480 Speaker 1: All these charges and things like that are ridiculous. Donald 145 00:08:44,480 --> 00:08:47,240 Speaker 1: Trump is in very, very serious trouble because he's a 146 00:08:47,320 --> 00:08:50,839 Speaker 1: system disruptor. He was really the first of our system disruptors, 147 00:08:51,360 --> 00:08:54,040 Speaker 1: the guy who got up there and called out people 148 00:08:54,080 --> 00:08:57,240 Speaker 1: you shouldn't call out, called out bad policies you shouldn't 149 00:08:57,280 --> 00:08:59,439 Speaker 1: call out, and he made a bunch of very powerful 150 00:08:59,559 --> 00:09:02,800 Speaker 1: enemies within the system. And now they're going to destroy 151 00:09:02,840 --> 00:09:05,640 Speaker 1: the man. If the FEDS and a special counsel don't 152 00:09:05,720 --> 00:09:09,160 Speaker 1: New York very well made, now it's bad news if 153 00:09:09,160 --> 00:09:11,400 Speaker 1: you're a huge Trump fans, bad news for America period. 154 00:09:11,440 --> 00:09:14,440 Speaker 1: This is late stage republic stuff. But that's what we are. 155 00:09:14,920 --> 00:09:17,840 Speaker 1: You just simply find a target and you figure out 156 00:09:17,840 --> 00:09:22,400 Speaker 1: how to take them down using all the power you have, DJ, FBI, everything. 157 00:09:22,400 --> 00:09:24,800 Speaker 1: It's a really, really ugly place to be as a country. 158 00:09:25,200 --> 00:09:28,559 Speaker 1: Trump responded, all this, I want to address the appalling 159 00:09:28,679 --> 00:09:33,880 Speaker 1: announcement today by the egregiously corrupted Biden administration and the 160 00:09:34,080 --> 00:09:36,760 Speaker 1: weaponized Department of Justice. Would you like me to talk 161 00:09:36,800 --> 00:09:39,280 Speaker 1: about that, Larry, would you like me to talk about that. 162 00:09:40,559 --> 00:09:43,240 Speaker 1: This horrendous abuse of power is the latest of a 163 00:09:43,640 --> 00:09:47,119 Speaker 1: long series of witch hunts. The corrupt and highly political 164 00:09:47,400 --> 00:09:53,079 Speaker 1: Justice Department just appointed a super radical left special counsel 165 00:09:53,760 --> 00:09:56,800 Speaker 1: better referred to as a special prosecutor to start the 166 00:09:56,880 --> 00:09:59,680 Speaker 1: process all over again. We thought it was just about dead. 167 00:10:02,520 --> 00:10:06,000 Speaker 1: This is what happens when you allow these people to 168 00:10:06,000 --> 00:10:10,079 Speaker 1: take over all of your institutions. Because these people, when 169 00:10:10,120 --> 00:10:13,920 Speaker 1: they take over institutions, they believe in using the power 170 00:10:14,040 --> 00:10:16,080 Speaker 1: of the institution. Back to what we were talking about 171 00:10:16,120 --> 00:10:19,480 Speaker 1: at the very beginning about them politicizing mass shootings, well, 172 00:10:19,720 --> 00:10:23,600 Speaker 1: it would never occur to the communists to not politicize 173 00:10:23,600 --> 00:10:26,240 Speaker 1: a mass shooting. It doesn't care about people or humans 174 00:10:26,320 --> 00:10:28,600 Speaker 1: or lives. So if it doesn't care about them, well 175 00:10:28,600 --> 00:10:31,760 Speaker 1: of course I will use this tragedy to gain more 176 00:10:31,840 --> 00:10:35,360 Speaker 1: power for myself and strip my enemies of power. Same 177 00:10:35,400 --> 00:10:38,080 Speaker 1: thing here. Did you really think they were going to 178 00:10:38,120 --> 00:10:41,280 Speaker 1: fill up the FBI and the DOJ with a bunch 179 00:10:41,320 --> 00:10:47,360 Speaker 1: of communists activists and not use that power. They don't 180 00:10:47,400 --> 00:10:50,559 Speaker 1: think that way. You're dealing with religious sellots, and the 181 00:10:50,679 --> 00:10:53,439 Speaker 1: sooner you accept that the better off will be. You 182 00:10:53,559 --> 00:10:56,640 Speaker 1: got a long show. All that may have made you uncomfortable, 183 00:10:56,679 --> 00:10:59,439 Speaker 1: but I am right. The great Natalie Winters is going 184 00:10:59,480 --> 00:11:02,360 Speaker 1: to join us next. Now, before we get to Natalie, 185 00:11:02,440 --> 00:11:04,679 Speaker 1: let's get to something good. That was ugly, that was 186 00:11:04,720 --> 00:11:07,160 Speaker 1: a lot of ugly, that was like the view level ugly. 187 00:11:07,400 --> 00:11:10,560 Speaker 1: Let's get to something wonderful. Let's get to the fact 188 00:11:10,600 --> 00:11:15,240 Speaker 1: that you can have air in your home that is 189 00:11:15,280 --> 00:11:18,200 Speaker 1: so clean. Every time you get home from work or 190 00:11:18,200 --> 00:11:21,160 Speaker 1: we're out running air and so wherever you go, you'll 191 00:11:21,200 --> 00:11:24,240 Speaker 1: walk in your house and the inside of your home 192 00:11:24,480 --> 00:11:28,880 Speaker 1: smells like nature does after a thunderstorm. That's why eden 193 00:11:28,960 --> 00:11:32,920 Speaker 1: Pure named its air Purifrus the thunderstorm. It is constantly 194 00:11:33,000 --> 00:11:35,760 Speaker 1: cleaning the air in your home of viruses and mold, 195 00:11:35,800 --> 00:11:39,880 Speaker 1: no filters to replace. It's cleaning your air at all times. 196 00:11:41,400 --> 00:11:44,760 Speaker 1: My family's healthier. It's not just that my allergies are gone. 197 00:11:45,080 --> 00:11:47,560 Speaker 1: We've never had such a clean bill of health over 198 00:11:47,600 --> 00:11:51,400 Speaker 1: a year. I have six of these things now. I 199 00:11:51,520 --> 00:11:54,679 Speaker 1: keep three at the studio, three at my home. They 200 00:11:54,760 --> 00:11:58,960 Speaker 1: sell three packs for my viewers. Go to eden Pure 201 00:11:59,120 --> 00:12:02,440 Speaker 1: Deals because they have a deal. When Christmas is coming, 202 00:12:03,360 --> 00:12:05,920 Speaker 1: you can get a three pack for under two hundred dollars. 203 00:12:05,960 --> 00:12:10,440 Speaker 1: That's two hundred dollars off Eden pure deals dot com 204 00:12:10,480 --> 00:12:13,800 Speaker 1: code Jesse is what gives you the deal, Eden pure 205 00:12:13,920 --> 00:12:22,080 Speaker 1: deals dot com code Jesse. We'll be back. Each morning, 206 00:12:22,240 --> 00:12:25,200 Speaker 1: the President of the United States receives a highly classified 207 00:12:25,240 --> 00:12:28,240 Speaker 1: briefing on the most important issues facing the country. It's 208 00:12:28,280 --> 00:12:31,760 Speaker 1: called the President's Daily Brief or PDB. It's delivered by 209 00:12:31,800 --> 00:12:34,959 Speaker 1: America's spies and analysts. Well, now you can hear your 210 00:12:35,120 --> 00:12:38,280 Speaker 1: very own PDB in the form of a podcast hosted 211 00:12:38,320 --> 00:12:41,959 Speaker 1: by me Brian Dean Wright, a former CIA operations officer. 212 00:12:42,320 --> 00:12:45,000 Speaker 1: Each morning at six am Eastern, I'll bring you fifteen 213 00:12:45,080 --> 00:12:47,720 Speaker 1: to twenty minutes of the most important issues facing the country, 214 00:12:48,040 --> 00:12:51,400 Speaker 1: giving you the critical intelligence and analysis you need to 215 00:12:51,480 --> 00:13:02,160 Speaker 1: start your morning. She's back again. The Warroom co host 216 00:13:02,200 --> 00:13:07,000 Speaker 1: and executive editor of Warroom dot Org Natalie Winters. Okay, Natalie, 217 00:13:07,440 --> 00:13:10,400 Speaker 1: the World Economic Forum, I know on one of these 218 00:13:10,440 --> 00:13:14,480 Speaker 1: deranged conspiracy theorists who talks about it. Actually De Santis 219 00:13:14,480 --> 00:13:17,960 Speaker 1: brought it up the other day. I want to have 220 00:13:18,000 --> 00:13:21,440 Speaker 1: the values not of Davos imposed on us, but of 221 00:13:21,559 --> 00:13:25,800 Speaker 1: places like Destin and Dunedin, where I grew up things 222 00:13:25,880 --> 00:13:30,160 Speaker 1: like the World Economic Forum. Those policies are dead on 223 00:13:30,320 --> 00:13:32,679 Speaker 1: arrival in the state of Florida. We are not going 224 00:13:32,720 --> 00:13:36,880 Speaker 1: to go down that road. Natalie. What is this World 225 00:13:36,960 --> 00:13:40,439 Speaker 1: Economic Forum? Who are these crazy Internet people who believe 226 00:13:40,480 --> 00:13:44,559 Speaker 1: in this stuff? I think the World Economic Forum is 227 00:13:45,000 --> 00:13:49,240 Speaker 1: probably the largest existential threat to the American way of 228 00:13:49,280 --> 00:13:52,240 Speaker 1: life that currently exists on the planet. I would say 229 00:13:52,280 --> 00:13:55,200 Speaker 1: close runnerment might be the Chinese Communist Party, but the 230 00:13:55,280 --> 00:13:58,920 Speaker 1: CCP basically works in Tanga with the World Economic Forum, 231 00:13:59,000 --> 00:14:01,160 Speaker 1: so they're one in the same. But I think this 232 00:14:01,280 --> 00:14:06,520 Speaker 1: really represents an unprecedented and really unparalleled level of concentration 233 00:14:06,960 --> 00:14:12,720 Speaker 1: of ostensibly private and public enterprise working together to push 234 00:14:12,720 --> 00:14:16,760 Speaker 1: an agenda. Except the agenda that they're pushing is really, 235 00:14:16,800 --> 00:14:18,880 Speaker 1: I mean, let's call it what it is, a Marxist 236 00:14:19,120 --> 00:14:24,160 Speaker 1: far left agenda that really, I think undermines every fundamental 237 00:14:24,240 --> 00:14:27,280 Speaker 1: value that we as Americans cherish. And I think you 238 00:14:27,400 --> 00:14:29,880 Speaker 1: can really use their own words, they see the quiet 239 00:14:29,920 --> 00:14:32,840 Speaker 1: part out loud to have them define who they are 240 00:14:32,880 --> 00:14:35,680 Speaker 1: and what their motives are. Right, they say that you 241 00:14:35,720 --> 00:14:38,000 Speaker 1: will own nothing and you will be happy. And if 242 00:14:38,040 --> 00:14:40,400 Speaker 1: you read some of the other literature, the ones that 243 00:14:40,440 --> 00:14:42,920 Speaker 1: they don't delete or erase from their web page because 244 00:14:42,920 --> 00:14:46,960 Speaker 1: it's so radical. They do not believe in private property ownership, 245 00:14:47,200 --> 00:14:50,760 Speaker 1: and they've admitted to using issues, whether it be COVID 246 00:14:50,840 --> 00:14:55,600 Speaker 1: nineteen or climate change sort of as avenues to exploit 247 00:14:55,800 --> 00:14:59,160 Speaker 1: to push their far left social agenda. So I think 248 00:14:59,200 --> 00:15:03,240 Speaker 1: what you see I said, is this unprecedented collusion between 249 00:15:03,320 --> 00:15:07,000 Speaker 1: governments across the world, companies that are you know, way 250 00:15:07,040 --> 00:15:11,920 Speaker 1: too woke, woke to high heaven, using really every lever 251 00:15:12,080 --> 00:15:16,400 Speaker 1: of society, every aspect of society, to push a Marxist 252 00:15:16,440 --> 00:15:21,040 Speaker 1: social agenda that really, if it were to materialize, we'd 253 00:15:21,080 --> 00:15:23,400 Speaker 1: be living in a world that I don't think any 254 00:15:23,480 --> 00:15:28,840 Speaker 1: of us would recognize. Okay, Natalie, Well that all sounds 255 00:15:28,880 --> 00:15:33,080 Speaker 1: basically horrific, But thank you for having Who are they? 256 00:15:31,920 --> 00:15:34,840 Speaker 1: I mean, of course, and of course that's why we 257 00:15:34,920 --> 00:15:37,440 Speaker 1: bring you here, all right? Well, but who are they? 258 00:15:37,480 --> 00:15:40,280 Speaker 1: It's not a government, right, We're not dealing with a 259 00:15:40,360 --> 00:15:44,280 Speaker 1: government of foreign government of some kind. Is this a nonprofit? 260 00:15:44,320 --> 00:15:47,640 Speaker 1: How do they have so much influence? Well that's what's 261 00:15:47,640 --> 00:15:51,320 Speaker 1: so interesting, because technically the World Economic Forum is not 262 00:15:51,440 --> 00:15:54,680 Speaker 1: a state, right, But Klaus Schwab, the head of it, 263 00:15:54,720 --> 00:16:00,680 Speaker 1: seems to be basically every governmental conference event to whether 264 00:16:00,720 --> 00:16:03,840 Speaker 1: it's the G twenty Top twenty seven, he always seems 265 00:16:03,880 --> 00:16:06,720 Speaker 1: to be rearing his ugly head at these sort of 266 00:16:06,760 --> 00:16:10,800 Speaker 1: whether it's the United Nations, the World Health Organization. Obviously, 267 00:16:10,800 --> 00:16:13,360 Speaker 1: these are globalist groups that anything they say we should 268 00:16:13,400 --> 00:16:16,440 Speaker 1: do the direct opposite of. But the fact that Klaus 269 00:16:16,440 --> 00:16:19,440 Speaker 1: Schwab is there is very interesting. But I think it 270 00:16:19,480 --> 00:16:22,280 Speaker 1: goes to what I was speaking about before. The World 271 00:16:22,280 --> 00:16:26,040 Speaker 1: Economic Forum is very systematic and how it sort of 272 00:16:26,120 --> 00:16:29,880 Speaker 1: curates and picks out leaders in various countries all the 273 00:16:29,920 --> 00:16:32,560 Speaker 1: way from the G twenty you know, more Western influential 274 00:16:32,640 --> 00:16:36,880 Speaker 1: style countries, but also within China and even within developing 275 00:16:36,920 --> 00:16:39,360 Speaker 1: countries in the Third World like Africa. But they run 276 00:16:39,440 --> 00:16:42,760 Speaker 1: a Young Global Leaders program, which, believe me, a lot 277 00:16:42,800 --> 00:16:45,440 Speaker 1: of the people that you see on mainstream media networks, 278 00:16:45,440 --> 00:16:48,600 Speaker 1: whether the talking heads or heads of state, that you 279 00:16:48,720 --> 00:16:52,360 Speaker 1: probably can't bear because they're so ridiculously far left in 280 00:16:52,400 --> 00:16:57,440 Speaker 1: support policies like digital identity tracking, social credit scores, carbon 281 00:16:57,520 --> 00:17:02,280 Speaker 1: emission calculators, all of that easy, crazy radical stuff. These 282 00:17:02,320 --> 00:17:05,399 Speaker 1: are people who oftentimes have participated in this Young Global 283 00:17:05,480 --> 00:17:09,160 Speaker 1: Leader program at the World Economic Forum. So the World 284 00:17:09,160 --> 00:17:12,480 Speaker 1: Economic Forum is very smart, I would say, you know, 285 00:17:12,600 --> 00:17:16,120 Speaker 1: maliciously smart and nefarious. And how they sort of curate 286 00:17:16,240 --> 00:17:20,480 Speaker 1: this young talent to be brought up through various levels 287 00:17:20,520 --> 00:17:23,920 Speaker 1: and levers of government to help implement their agenda. I'll 288 00:17:23,920 --> 00:17:26,399 Speaker 1: give you a perfect example of this. The head of 289 00:17:26,480 --> 00:17:30,360 Speaker 1: Joe Biden's sustainability initiative at the White House is an 290 00:17:30,359 --> 00:17:33,440 Speaker 1: individual by the name of Betty Kremen's again, someone one 291 00:17:33,440 --> 00:17:36,439 Speaker 1: of these shadowy figures that you probably have never heard of. 292 00:17:36,800 --> 00:17:40,040 Speaker 1: You know, it's not a household name, but she's someone 293 00:17:40,119 --> 00:17:43,520 Speaker 1: who worked for the World Economic Forum. She's someone who 294 00:17:43,600 --> 00:17:47,160 Speaker 1: for years and she's now leading the supply chain issue, 295 00:17:47,240 --> 00:17:50,320 Speaker 1: the supply chain task force at the Biden White House, 296 00:17:50,359 --> 00:17:54,280 Speaker 1: but specifically through the paradigm of sustainability. And if anyone 297 00:17:54,359 --> 00:17:57,000 Speaker 1: knows anything about Joe Biden and supply chains, they've been 298 00:17:57,040 --> 00:17:59,840 Speaker 1: totally horrendous under him, right from the issues with truck 299 00:17:59,920 --> 00:18:04,080 Speaker 1: or to the fact that you grocery stores hospital ppe. Right, 300 00:18:04,080 --> 00:18:06,840 Speaker 1: we can't really get anything in Obviously inflation isn't helping 301 00:18:06,880 --> 00:18:09,480 Speaker 1: with prices. So this is a perfect example of how 302 00:18:09,680 --> 00:18:14,080 Speaker 1: these kind of weft cronies exploit whether it's sustainability or 303 00:18:14,119 --> 00:18:18,000 Speaker 1: climate change, obviously negligent of any of the issues or 304 00:18:18,119 --> 00:18:21,719 Speaker 1: concerns of actual American citizens, but use these issues like 305 00:18:21,760 --> 00:18:27,520 Speaker 1: supply chains to push their far left radical agenda. Should 306 00:18:27,520 --> 00:18:32,080 Speaker 1: be noted everyone Cloud Schwab Born, Germany, nineteen thirty eight. 307 00:18:32,119 --> 00:18:34,080 Speaker 1: But that's neither here nor there. All right, I want 308 00:18:34,119 --> 00:18:35,800 Speaker 1: to swocle back to something you said in the beginning 309 00:18:35,800 --> 00:18:40,920 Speaker 1: really quickly, Natalie, about you will own nothing and be happy. Okay, Well, 310 00:18:40,960 --> 00:18:43,200 Speaker 1: if you don't get to own anything, and I don't 311 00:18:43,200 --> 00:18:48,040 Speaker 1: get to own anything, now, who's supposed to own everything? Well, 312 00:18:48,080 --> 00:18:50,679 Speaker 1: I think that's the I would say million dollar question, 313 00:18:50,760 --> 00:18:52,880 Speaker 1: but I think in this case it's a multi multi 314 00:18:52,960 --> 00:18:56,480 Speaker 1: trillion dollar question. And I think the best answer to 315 00:18:56,560 --> 00:18:59,320 Speaker 1: that are the people that I was talking about before, 316 00:18:59,520 --> 00:19:03,560 Speaker 1: these sort of nebulous figures. You know, it's I love 317 00:19:03,600 --> 00:19:06,480 Speaker 1: the comparison of you know, the federal government running your life. 318 00:19:06,480 --> 00:19:09,560 Speaker 1: It's like the DMV. These people are incompetent bureaucrats. It's 319 00:19:09,640 --> 00:19:12,840 Speaker 1: it's the socialist state at its finest but also at 320 00:19:12,840 --> 00:19:17,160 Speaker 1: its worst. But I think it's people who really adhere 321 00:19:17,520 --> 00:19:22,159 Speaker 1: to the World Economic Forums far left social agenda, the 322 00:19:22,320 --> 00:19:25,879 Speaker 1: idea that COVID nineteen and climate change, give them grounds 323 00:19:26,480 --> 00:19:28,480 Speaker 1: to tell you how to live your life, to tell 324 00:19:28,520 --> 00:19:31,760 Speaker 1: you that, oh, well, you've you know, emitted too much 325 00:19:31,840 --> 00:19:35,240 Speaker 1: carbon dioxide in this quarter, so you don't get to 326 00:19:35,280 --> 00:19:37,879 Speaker 1: eat steak anymore. I mean, that's seriously some of the 327 00:19:37,880 --> 00:19:40,960 Speaker 1: policy propositions and proposals that you see coming from people 328 00:19:41,160 --> 00:19:44,080 Speaker 1: who are affiliated with the web. Obviously there's the household 329 00:19:44,160 --> 00:19:47,600 Speaker 1: names people like Bill Gates, who are of course coincidentally 330 00:19:47,640 --> 00:19:51,040 Speaker 1: buying up massive amounts of America of farmland right now. Again, 331 00:19:51,080 --> 00:19:53,560 Speaker 1: I think that's a perfect example of how you see 332 00:19:53,840 --> 00:19:56,240 Speaker 1: what should be coming from Bill Gates as an investment 333 00:19:56,280 --> 00:19:59,120 Speaker 1: to make money with farmland. That's not the case. He's 334 00:19:59,200 --> 00:20:01,760 Speaker 1: using it to using it to push a social agenda. 335 00:20:02,160 --> 00:20:04,240 Speaker 1: So that's sort of the interesting thing is that while 336 00:20:04,240 --> 00:20:06,680 Speaker 1: it is about money with these people, I think they 337 00:20:06,760 --> 00:20:09,800 Speaker 1: care more about power and more about being able to 338 00:20:09,840 --> 00:20:14,480 Speaker 1: dictate your life from the mountaintops of Davos as opposed 339 00:20:14,560 --> 00:20:18,119 Speaker 1: to you know, your local lawmakers and elected officials, and 340 00:20:18,160 --> 00:20:21,920 Speaker 1: really even the American president having any say, you know, 341 00:20:22,240 --> 00:20:23,879 Speaker 1: I know, as Donald Trump who said, you know, we 342 00:20:23,920 --> 00:20:26,919 Speaker 1: will not surrender to the false song of globalism. But 343 00:20:27,000 --> 00:20:29,920 Speaker 1: that's essentially what you see going on here, a seating 344 00:20:30,240 --> 00:20:33,440 Speaker 1: of I think national sovereignty to groups like the World 345 00:20:33,520 --> 00:20:36,840 Speaker 1: Economic Forum, who work in concert with the World Health 346 00:20:37,000 --> 00:20:39,800 Speaker 1: Organization and the United Nations. And I think if they're 347 00:20:40,080 --> 00:20:42,600 Speaker 1: the best evidence as to why this is such a nightmare, 348 00:20:42,920 --> 00:20:45,640 Speaker 1: just look at COVID nineteen and how they not only 349 00:20:45,680 --> 00:20:49,280 Speaker 1: exploited it to push obviously this far left agenda, but 350 00:20:49,440 --> 00:20:53,040 Speaker 1: just the actual incompetence in terms of, you know, stopping 351 00:20:53,040 --> 00:20:56,880 Speaker 1: the spread, rolling out of vaccine, you name it. They're 352 00:20:56,920 --> 00:21:00,159 Speaker 1: just incompetent. And of course there's an element of malfeasance too. 353 00:21:00,800 --> 00:21:05,760 Speaker 1: But these people are ideologically driven, and that's always really 354 00:21:05,760 --> 00:21:09,080 Speaker 1: scary because there's no substance to back up the policies 355 00:21:09,080 --> 00:21:14,320 Speaker 1: that they push. It's just ideology, it's just talking points. Yeah, 356 00:21:15,160 --> 00:21:17,639 Speaker 1: all right, Natalie, we're switching gears because actually I have 357 00:21:17,680 --> 00:21:21,200 Speaker 1: some breaking news here. This is amazing stuff from Katherine 358 00:21:21,240 --> 00:21:26,560 Speaker 1: Harridge at CBS. Data from a laptop reported to belong 359 00:21:26,680 --> 00:21:30,800 Speaker 1: to Biden could be crucial to the investigatory process. CBS 360 00:21:30,840 --> 00:21:35,160 Speaker 1: News has obtained its data not through a third party 361 00:21:35,240 --> 00:21:38,480 Speaker 1: or political operative, but directly from the source who told 362 00:21:38,560 --> 00:21:42,560 Speaker 1: us they provided it to the FBI under subpoena, and 363 00:21:42,640 --> 00:21:47,399 Speaker 1: we commissioned an independent forensic review to determine its authenticity. 364 00:21:47,840 --> 00:21:51,040 Speaker 1: Senior investigative corresponding Katherine Harridge joins us now with what 365 00:21:51,080 --> 00:21:54,840 Speaker 1: we found. Katherine, I'm very interested. Good morning, Good morning, Tony. 366 00:21:54,920 --> 00:21:57,960 Speaker 1: These House Republican investigations are coming, and that could be 367 00:21:58,000 --> 00:21:59,960 Speaker 1: a challenge for the White House as we head into 368 00:22:00,080 --> 00:22:04,040 Speaker 1: twenty twenty three and twenty twenty four. The laptop data 369 00:22:04,119 --> 00:22:07,520 Speaker 1: we had analyzed showed no evidence it was faked or 370 00:22:07,560 --> 00:22:12,439 Speaker 1: tampered with. Natalie, can you believe that Hunter Biden had 371 00:22:12,440 --> 00:22:15,000 Speaker 1: a laptop with all this criminal stuff on there? This 372 00:22:15,080 --> 00:22:18,520 Speaker 1: is breaking news if only I'd known, I know. I 373 00:22:18,800 --> 00:22:22,440 Speaker 1: love their reactions, although we'll say it is very convenient 374 00:22:22,480 --> 00:22:25,880 Speaker 1: that they waited until after the mid terms to do this, 375 00:22:26,040 --> 00:22:30,160 Speaker 1: right of course, but again they're confirming what we all know. Frankly, 376 00:22:30,200 --> 00:22:34,160 Speaker 1: I've become numb now to all these various mainstream media 377 00:22:34,200 --> 00:22:37,560 Speaker 1: outlets saying, oh, actually the hard drive was right, And 378 00:22:37,600 --> 00:22:39,560 Speaker 1: of course, you know the New York Times, the Washington 379 00:22:39,600 --> 00:22:43,679 Speaker 1: Post they bury it in like paragraph seventeen of the article. 380 00:22:44,280 --> 00:22:46,080 Speaker 1: But I think, you know, there's a lot of lawsuits 381 00:22:46,119 --> 00:22:49,119 Speaker 1: going on right now, specifically coming from the age I 382 00:22:49,119 --> 00:22:53,560 Speaker 1: believe it's in Louisiana, inclined to say Kentucky. But going 383 00:22:53,600 --> 00:22:56,399 Speaker 1: on to this kind of convergence which was dumptails with 384 00:22:56,480 --> 00:22:59,159 Speaker 1: what I was talking about before, right these private and 385 00:22:59,200 --> 00:23:02,439 Speaker 1: public companies, How the FBI colluded with Facebook, colluded with 386 00:23:02,480 --> 00:23:06,000 Speaker 1: Twitter to suppress this story and you know, slap on 387 00:23:06,040 --> 00:23:10,000 Speaker 1: the Russian disinformation label because that's their sort of modus operandi. 388 00:23:10,520 --> 00:23:12,719 Speaker 1: But I think that these lawsuits that are going on, 389 00:23:12,760 --> 00:23:14,080 Speaker 1: a lot of these people are going to have to 390 00:23:14,119 --> 00:23:18,040 Speaker 1: actually testify in person about the collusion that went on 391 00:23:18,080 --> 00:23:20,800 Speaker 1: to suppress the story. I think that will will wield 392 00:23:20,840 --> 00:23:24,800 Speaker 1: some yield some really interesting insight in terms of how 393 00:23:24,840 --> 00:23:27,560 Speaker 1: this happened. But again, I think this is just the 394 00:23:27,680 --> 00:23:33,080 Speaker 1: latest example of how anytime someone uses the word misinformation disinformation, 395 00:23:33,640 --> 00:23:39,040 Speaker 1: it's almost guaranteed that it's actually true, no doubt. Natalie 396 00:23:39,040 --> 00:23:41,000 Speaker 1: Winsors go read all our stuff. Thank you, ma'am. I 397 00:23:41,040 --> 00:23:46,840 Speaker 1: appreciate you. Thank you. And that's what's so frustrating for 398 00:23:46,920 --> 00:23:50,199 Speaker 1: people like you and me. Isn't it that when a 399 00:23:50,280 --> 00:23:53,199 Speaker 1: story comes out, you look into it. I know you do. 400 00:23:53,280 --> 00:23:55,840 Speaker 1: I look into it. I don't just trust one thing 401 00:23:56,280 --> 00:23:57,600 Speaker 1: or one thing I read, or one thing and I 402 00:23:57,680 --> 00:24:00,480 Speaker 1: hear one thing I watch on TV. I'll look into it. Okay, well, 403 00:24:00,520 --> 00:24:02,840 Speaker 1: what's going on? Is this true? What did they say 404 00:24:02,840 --> 00:24:08,399 Speaker 1: about it? You look into it, and then the media won't, 405 00:24:09,440 --> 00:24:12,120 Speaker 1: and eventually they will know two three years later, they'll 406 00:24:12,119 --> 00:24:14,879 Speaker 1: look into it, but not right away, and then when 407 00:24:14,920 --> 00:24:18,240 Speaker 1: they finally look into it, they lock like it's breaking news. Alright, 408 00:24:18,400 --> 00:24:22,520 Speaker 1: alright enough? You know what sucks? What always sucked? I 409 00:24:22,520 --> 00:24:28,480 Speaker 1: always thought about Christmas getting socks? Was there anything worse 410 00:24:28,480 --> 00:24:30,560 Speaker 1: than when you were a kid or even an adult 411 00:24:30,800 --> 00:24:34,240 Speaker 1: and you would open up a package and you'd see socks? 412 00:24:35,200 --> 00:24:39,480 Speaker 1: Who wants socks? I want electronics and toys and give 413 00:24:39,520 --> 00:24:43,800 Speaker 1: me guns and stuff. I need mbgs, that socks. That said, 414 00:24:43,840 --> 00:24:46,119 Speaker 1: you really have been buying the wrong socks for people. 415 00:24:46,160 --> 00:24:49,159 Speaker 1: And can you imagine you could buy socks for someone 416 00:24:49,160 --> 00:24:52,480 Speaker 1: and actually they'd be excited about it. You have got 417 00:24:52,480 --> 00:24:56,320 Speaker 1: to try these socks from Grip six. I'm telling you 418 00:24:56,440 --> 00:24:58,560 Speaker 1: right now, for the first time in your life, you 419 00:24:58,640 --> 00:25:01,919 Speaker 1: have the opportunity to buy someone socks for Christmas and 420 00:25:02,080 --> 00:25:05,160 Speaker 1: have them be thrilled while you're there, while you're at 421 00:25:05,200 --> 00:25:08,960 Speaker 1: gripsix dot com slash jesse buying the greatest socks ever. 422 00:25:09,800 --> 00:25:12,240 Speaker 1: Buy one of these wallets. You can get them with 423 00:25:12,280 --> 00:25:14,960 Speaker 1: her without the loop. See see my cards in there. 424 00:25:15,040 --> 00:25:17,240 Speaker 1: You know what they're not doing. They're not falling out 425 00:25:17,320 --> 00:25:20,000 Speaker 1: right now. Oh look, all I have to do is 426 00:25:20,040 --> 00:25:22,199 Speaker 1: squeeze and they all pop up. Do you think the 427 00:25:22,240 --> 00:25:24,320 Speaker 1: guy in your life would enjoy a little gadget like 428 00:25:24,359 --> 00:25:26,560 Speaker 1: that for his cards and I D and stuff like that. 429 00:25:26,760 --> 00:25:31,119 Speaker 1: It's place sick. Go to grip six dot com slash jesse. 430 00:25:31,240 --> 00:25:39,760 Speaker 1: All right, we'll be back. What is it with the 431 00:25:39,800 --> 00:25:43,160 Speaker 1: Elon Musk and Trump and Twitter and all this stuff? 432 00:25:43,200 --> 00:25:46,080 Speaker 1: I don't understand all this controversy. Joining me now, my 433 00:25:46,240 --> 00:25:50,720 Speaker 1: friend Alan Bakari Brightbart News Senior Technology corresponding. Okay, I'll 434 00:25:50,880 --> 00:25:53,240 Speaker 1: let's start with let's start with Elon first, so we'll 435 00:25:53,240 --> 00:25:55,840 Speaker 1: get tall the Elon Trump thing. I'm not I'm not 436 00:25:55,880 --> 00:25:58,240 Speaker 1: a big billionaire worshiper guy. It's not my thing. But 437 00:25:58,720 --> 00:26:02,080 Speaker 1: it sounds like he some free speech. He bought Twitter. 438 00:26:02,200 --> 00:26:06,679 Speaker 1: What's he done since he gat there? That's certainly he 439 00:26:06,800 --> 00:26:10,520 Speaker 1: certainly lived up to that promise. He's reinstating conservative accounts left, 440 00:26:10,600 --> 00:26:14,080 Speaker 1: right and center, the first the biggest one being Donald Trump. 441 00:26:14,640 --> 00:26:16,720 Speaker 1: He has said he won't bring Alex Jones back on 442 00:26:16,760 --> 00:26:20,760 Speaker 1: the platform because ostensibly because of his Sandy Hook comments. 443 00:26:21,200 --> 00:26:24,119 Speaker 1: I think it's more to do with pressure from advertisers 444 00:26:24,119 --> 00:26:26,480 Speaker 1: and the potential to Twitter to get kicked off the 445 00:26:26,640 --> 00:26:29,720 Speaker 1: Googled and Apple app stores, and that's the real thing 446 00:26:29,880 --> 00:26:34,840 Speaker 1: that's going to constrain Marsk from reinstating absolutely everyone. It's 447 00:26:34,880 --> 00:26:38,680 Speaker 1: something that you'll roth thee who was briefly the top 448 00:26:38,720 --> 00:26:42,920 Speaker 1: censor at Twitter before he resigned shortly after Musk took over. 449 00:26:42,960 --> 00:26:45,440 Speaker 1: He wrote an article for The New York Times last 450 00:26:45,480 --> 00:26:49,200 Speaker 1: week explaining that, you know, Elon Musk doesn't really get 451 00:26:49,200 --> 00:26:50,800 Speaker 1: to call the shot because he's all to deal with 452 00:26:50,840 --> 00:26:55,000 Speaker 1: advertisers he'll pull out if there's too much content they 453 00:26:55,000 --> 00:26:59,359 Speaker 1: don't like on the platform, and government regulators the EU 454 00:26:59,480 --> 00:27:01,800 Speaker 1: has threatened to crack down if must brings too much 455 00:27:01,840 --> 00:27:04,960 Speaker 1: free speech back to the platform and ultimately the app 456 00:27:04,960 --> 00:27:07,800 Speaker 1: stores earned by Google and Apple. That represents ninety nine 457 00:27:07,800 --> 00:27:11,080 Speaker 1: percent of the worldwide smartphone market. So if it gets 458 00:27:11,160 --> 00:27:13,399 Speaker 1: kicked off the app stores, then it's very difficult for 459 00:27:13,440 --> 00:27:17,359 Speaker 1: Twitter to actually reach consumers, and you know, that could 460 00:27:17,440 --> 00:27:20,720 Speaker 1: really really cripple the platform. So he still has to 461 00:27:20,720 --> 00:27:23,440 Speaker 1: walk a fine line between all these interests who aren't 462 00:27:23,440 --> 00:27:26,720 Speaker 1: really in favor of free speech, and we'll we'll crack 463 00:27:26,800 --> 00:27:31,680 Speaker 1: down if he goes too far. Okay, what's he done 464 00:27:31,760 --> 00:27:34,320 Speaker 1: so far? I've seen it seems like he's fired about 465 00:27:34,320 --> 00:27:38,639 Speaker 1: a thousand people a day or why. Well, actually, this 466 00:27:38,680 --> 00:27:40,399 Speaker 1: is what a lot of tech companies are doing, not 467 00:27:40,480 --> 00:27:43,720 Speaker 1: just Twitter. Facebook recently laid off around eleven thousand of 468 00:27:43,800 --> 00:27:47,400 Speaker 1: its employees. There's a huge downturn in in the tech 469 00:27:47,440 --> 00:27:53,159 Speaker 1: industry and across the economy. Thanks Joe Biden. But but 470 00:27:53,240 --> 00:27:56,640 Speaker 1: you know, what Twitter is doing is exactly unusual. And 471 00:27:56,720 --> 00:27:59,280 Speaker 1: the other thing, you know, must needs can't coast because 472 00:27:59,280 --> 00:28:02,800 Speaker 1: a lot of advertise have already pulled out, so he 473 00:28:02,840 --> 00:28:06,200 Speaker 1: needs to make up that revenue somehow. He also trying 474 00:28:06,240 --> 00:28:09,560 Speaker 1: to do the paid verification system that didn't work out. 475 00:28:10,280 --> 00:28:13,600 Speaker 1: But slashing all those employees will definitely can't cost a Twitter. 476 00:28:13,720 --> 00:28:16,200 Speaker 1: I think that's what it's mainly about. Also, it's about, 477 00:28:16,280 --> 00:28:18,520 Speaker 1: you know, making sure that the remaining employees aligned with 478 00:28:18,560 --> 00:28:22,320 Speaker 1: the vision of restoring some measure of free speech, because 479 00:28:22,320 --> 00:28:26,240 Speaker 1: obviously that wasn't very popular among many Twitter employees. I think, 480 00:28:26,280 --> 00:28:28,840 Speaker 1: you know, they might like much of Silicon Valley. They 481 00:28:28,920 --> 00:28:31,120 Speaker 1: lean hard to the left and were totally on board 482 00:28:31,200 --> 00:28:35,040 Speaker 1: with the lurch towards censorship that happened over the past 483 00:28:35,080 --> 00:28:39,280 Speaker 1: half decade. Okay, what do we know about the people 484 00:28:39,320 --> 00:28:42,680 Speaker 1: that are gone? You brought up this wrath character and others. 485 00:28:42,800 --> 00:28:45,680 Speaker 1: Are they just as vile as we all imagine them 486 00:28:45,680 --> 00:28:49,160 Speaker 1: to be. Who are these people? Oh? Yeah, they were 487 00:28:49,160 --> 00:28:51,280 Speaker 1: completely on board with the censorship at gender. And if 488 00:28:51,280 --> 00:28:53,720 Speaker 1: you really yell ross article in the New York Times, 489 00:28:53,760 --> 00:28:56,240 Speaker 1: I analyze it over a right bout as well. You 490 00:28:56,240 --> 00:28:58,200 Speaker 1: can read my writ up of it. You know, he 491 00:28:58,280 --> 00:29:01,760 Speaker 1: clearly wants regulator and app stores. You know it didn't 492 00:29:01,760 --> 00:29:05,120 Speaker 1: say it explicitly, but the subset, the subtext is that, 493 00:29:05,520 --> 00:29:07,720 Speaker 1: you know, we won't have to deal with I think 494 00:29:07,720 --> 00:29:10,520 Speaker 1: he calls it lawful but awful speech because we have 495 00:29:11,160 --> 00:29:15,360 Speaker 1: this huge apparatus of censorship that goes beyond any one company, 496 00:29:16,080 --> 00:29:21,000 Speaker 1: you know, the coalition of advertisers, regulators and an app 497 00:29:21,080 --> 00:29:26,200 Speaker 1: marketplaces that will restrain any individual social network that gets 498 00:29:26,240 --> 00:29:29,880 Speaker 1: too far out of line. So that's his opinion, And 499 00:29:30,000 --> 00:29:32,600 Speaker 1: you know, Vija Gadd was another person who left. She 500 00:29:32,720 --> 00:29:36,239 Speaker 1: was really really the top person pushing censorship for a 501 00:29:36,240 --> 00:29:39,040 Speaker 1: long time at Twitter. She was head of Trust and 502 00:29:39,080 --> 00:29:42,440 Speaker 1: Safety when they banned Trump, and you know, sources say 503 00:29:42,480 --> 00:29:45,560 Speaker 1: that she was one who made that call. Jack Dorsey 504 00:29:45,840 --> 00:29:48,880 Speaker 1: was actually on vacation when they banned Trump and was 505 00:29:49,280 --> 00:29:54,200 Speaker 1: apparently a call made by the Cross and Safety Department. Okay, 506 00:29:54,280 --> 00:29:57,960 Speaker 1: now Trump is unbanned, Is he back? Is he coming back? 507 00:29:58,000 --> 00:30:02,360 Speaker 1: What's he doing? Well? You can go and see his 508 00:30:02,400 --> 00:30:06,160 Speaker 1: old classic tweets, all his all his tweets have repopulated 509 00:30:06,880 --> 00:30:09,960 Speaker 1: and seeing a lot of bangers retweeted across my feed recently, 510 00:30:10,160 --> 00:30:12,440 Speaker 1: but he hadn't made any new tweets. And he said 511 00:30:12,480 --> 00:30:15,800 Speaker 1: he's going to remain on truth Social, which is the 512 00:30:15,800 --> 00:30:18,880 Speaker 1: social network he founded as actually doing very well. Truth 513 00:30:18,880 --> 00:30:22,440 Speaker 1: Social has huge numbers, so he can certainly get his 514 00:30:22,480 --> 00:30:25,960 Speaker 1: message out on truth Social if he wants. Will he 515 00:30:26,040 --> 00:30:28,240 Speaker 1: resist the temptation to go back to Twitter in the 516 00:30:28,280 --> 00:30:31,280 Speaker 1: long term, especially as the campaign season gets closer. I 517 00:30:31,320 --> 00:30:36,560 Speaker 1: think that's that's an open question. All right, all, thank 518 00:30:36,600 --> 00:30:42,120 Speaker 1: you so much, brother, I appreciate it. Thanks Jesse. All Right, 519 00:30:42,840 --> 00:30:47,880 Speaker 1: we got more the biomedical security state. We have in 520 00:30:47,880 --> 00:30:51,120 Speaker 1: this country that we discovered we had under COVID. We 521 00:30:51,200 --> 00:30:53,600 Speaker 1: have a doctor coming on. He wrote a book about it. 522 00:30:53,760 --> 00:30:56,680 Speaker 1: He's got some fascinating things to say. It's gonna be 523 00:30:56,680 --> 00:30:59,280 Speaker 1: pretty eye opening. Before we get to that, let's open 524 00:30:59,320 --> 00:31:01,440 Speaker 1: your eyes about the fact you're not stuck in your 525 00:31:01,440 --> 00:31:06,960 Speaker 1: time share. I know you think you are, maybe maybe 526 00:31:07,000 --> 00:31:11,480 Speaker 1: even feel stupid. Look I hear that a lot, Jesse, 527 00:31:11,640 --> 00:31:13,920 Speaker 1: I feel so dumb. We got the time share, I 528 00:31:14,000 --> 00:31:16,720 Speaker 1: stopped using it. It didn't read the fine print. No 529 00:31:16,760 --> 00:31:19,920 Speaker 1: one reads all the fine print. You're not stupid, You're human. 530 00:31:20,200 --> 00:31:22,480 Speaker 1: That's why they give you page after page after page 531 00:31:22,520 --> 00:31:24,000 Speaker 1: or fine print because they know you're not going to 532 00:31:24,080 --> 00:31:26,040 Speaker 1: read it. And now they tell you, sorry, you can't 533 00:31:26,040 --> 00:31:29,120 Speaker 1: get out. Sorry you're stuck for life. Pay those annual fees. 534 00:31:29,200 --> 00:31:33,240 Speaker 1: Pay up. It's time for your annual fees. One phone call. 535 00:31:33,720 --> 00:31:36,600 Speaker 1: You are one phone call away from freedom, Call loan 536 00:31:36,720 --> 00:31:39,400 Speaker 1: Star transfer, They'll get you out. How do I know 537 00:31:39,840 --> 00:31:43,520 Speaker 1: they get ninety nine percent of people out. They've helped 538 00:31:43,560 --> 00:31:49,360 Speaker 1: over sixteen thousand people get out permanently. One phone call 539 00:31:49,400 --> 00:31:53,600 Speaker 1: from freedom. They guarantee it in writing. Call eight four 540 00:31:53,720 --> 00:31:58,440 Speaker 1: four three one zero two six four six eight four four, three, 541 00:31:58,520 --> 00:32:02,480 Speaker 1: one zero two six four six or lone star transfer 542 00:32:02,560 --> 00:32:11,400 Speaker 1: dot com. We'll be back joining me now. Doctor Aaron 543 00:32:11,480 --> 00:32:15,680 Speaker 1: Karyati author of the book The New Abnormal, The Rise 544 00:32:15,800 --> 00:32:19,200 Speaker 1: of the Biomedical Security State, and I am glad he 545 00:32:19,240 --> 00:32:22,080 Speaker 1: wrote the book. I hope you read the book because 546 00:32:22,200 --> 00:32:25,360 Speaker 1: what happened during COVID in this country, in the world, frankly, 547 00:32:26,000 --> 00:32:29,080 Speaker 1: was horrific. I hear a lot of people today saying 548 00:32:29,120 --> 00:32:32,200 Speaker 1: things like, well, we got some things wrong, things were 549 00:32:32,200 --> 00:32:34,840 Speaker 1: wrong during COVID. No, no, no no, no, this went way 550 00:32:34,880 --> 00:32:39,680 Speaker 1: beyond wrong. This was tyrannical and evil. Doctor, First, what 551 00:32:39,720 --> 00:32:43,280 Speaker 1: do you mean biomedical? What are all these big words? 552 00:32:43,320 --> 00:32:46,800 Speaker 1: What are you talking about? So what I call in 553 00:32:46,880 --> 00:32:50,760 Speaker 1: the subtitle the biomedical Security State is really the welding 554 00:32:50,800 --> 00:32:55,360 Speaker 1: together of three things that used to be distinct. The 555 00:32:55,360 --> 00:33:00,080 Speaker 1: f first element is an increasingly militarized public health appara 556 00:33:00,280 --> 00:33:02,560 Speaker 1: and I describe in detail in the book what I 557 00:33:02,600 --> 00:33:06,440 Speaker 1: mean by that. That militarized public health apparatus is then 558 00:33:06,520 --> 00:33:09,440 Speaker 1: wedded to the second element, which is the use of 559 00:33:09,480 --> 00:33:14,000 Speaker 1: digital technologies for surveillance and control of populations. Think of 560 00:33:14,040 --> 00:33:16,840 Speaker 1: the vaccine to the passport. It was rolled out in 561 00:33:16,920 --> 00:33:21,080 Speaker 1: many places during COVID that required citizens to show a 562 00:33:21,120 --> 00:33:24,400 Speaker 1: QRC code demonstrating that they had done what the public 563 00:33:24,400 --> 00:33:27,440 Speaker 1: health authorities told them to do, in this case, injecting 564 00:33:27,440 --> 00:33:29,720 Speaker 1: a novel vaccine into their body that they may or 565 00:33:29,720 --> 00:33:32,200 Speaker 1: may not have wanted, just to get on a plane, 566 00:33:32,240 --> 00:33:35,000 Speaker 1: get on a train, go to a restaurant, or re 567 00:33:35,360 --> 00:33:41,240 Speaker 1: enter their country of origin. We know now was revealed 568 00:33:41,240 --> 00:33:43,240 Speaker 1: a few months ago when Vice broke the story that 569 00:33:43,280 --> 00:33:48,240 Speaker 1: the CDC has been gathering unauthorized data from cell phones 570 00:33:48,520 --> 00:33:53,959 Speaker 1: to use for tracking compliance with things like lockdowns, school closures, 571 00:33:54,000 --> 00:33:57,880 Speaker 1: the closures of churches in the United States during COVID. 572 00:33:58,200 --> 00:34:03,000 Speaker 1: This was done without public notification. It was certainly done 573 00:34:03,040 --> 00:34:06,600 Speaker 1: without public consent. Most people were not aware that this 574 00:34:06,680 --> 00:34:09,760 Speaker 1: was happening. Researchers have showed that even though this data 575 00:34:09,840 --> 00:34:13,360 Speaker 1: was supposed to be deidentified, with only four data points, 576 00:34:13,400 --> 00:34:16,799 Speaker 1: you can readily identify the specific individual that each of 577 00:34:16,840 --> 00:34:20,120 Speaker 1: the data points refers to, so this was not anonymized. 578 00:34:20,200 --> 00:34:23,360 Speaker 1: Data was done without the consent of the American people. 579 00:34:23,760 --> 00:34:26,919 Speaker 1: The same thing occurred in Canada, even though Canadian Prime 580 00:34:26,960 --> 00:34:31,359 Speaker 1: Minister Justin Trudeau reassured Canadians that this would not be 581 00:34:31,840 --> 00:34:35,719 Speaker 1: done in Canada. They did it anyways, So a militarized 582 00:34:35,719 --> 00:34:40,120 Speaker 1: public health apparatus, the use of digital technologies like smartphones 583 00:34:40,200 --> 00:34:44,080 Speaker 1: and smartphone related data, and all of that is backed 584 00:34:44,160 --> 00:34:47,719 Speaker 1: up by the police powers of the state, creating a 585 00:34:47,840 --> 00:34:52,520 Speaker 1: regime that is ever more intrusive into the privacy and 586 00:34:52,600 --> 00:34:58,520 Speaker 1: the health related decisions and the lives of Americans. I 587 00:34:58,520 --> 00:35:01,240 Speaker 1: mean to think about during COVID the sort of micro 588 00:35:01,400 --> 00:35:06,640 Speaker 1: level on which these controls begin to operate, you know, 589 00:35:06,719 --> 00:35:10,120 Speaker 1: pull your mask up over your nose. This sort of thing, 590 00:35:10,360 --> 00:35:13,880 Speaker 1: this level of surveillance and control of entire populations for 591 00:35:15,080 --> 00:35:19,200 Speaker 1: supposed public health purposes, has never been done before in 592 00:35:19,280 --> 00:35:22,719 Speaker 1: human history. And then many of the interventions like lockdowns 593 00:35:23,560 --> 00:35:27,040 Speaker 1: also have never been done before in human history. Despite 594 00:35:27,080 --> 00:35:31,120 Speaker 1: efforts to draw analogies to quarantine measures of the past, 595 00:35:31,360 --> 00:35:36,360 Speaker 1: lockdowns were a novel and wholly untested measure that we 596 00:35:36,440 --> 00:35:41,799 Speaker 1: now know did massive collateral damage without actually achieving their 597 00:35:41,800 --> 00:35:47,520 Speaker 1: public health purpose of stopping the spread of COVID. Why, 598 00:35:48,080 --> 00:35:52,440 Speaker 1: let's let's get that's horrific and it's all true. How 599 00:35:52,480 --> 00:35:55,360 Speaker 1: did we get to that point? How did this cabal 600 00:35:55,960 --> 00:35:58,920 Speaker 1: join together? If America wasn't like that, when I was 601 00:35:58,960 --> 00:36:01,839 Speaker 1: a kid, and it was why are we like that? Now? 602 00:36:01,880 --> 00:36:06,120 Speaker 1: What happened? So we're starting to see the melding of 603 00:36:06,160 --> 00:36:10,760 Speaker 1: state and corporate interests what is called corporatism or actually 604 00:36:11,800 --> 00:36:15,839 Speaker 1: coincides with the original definition of fascism put forward by 605 00:36:16,320 --> 00:36:19,960 Speaker 1: Mussolini and the Italian fascists in the nineteen thirties, which 606 00:36:20,000 --> 00:36:23,120 Speaker 1: is the melding of state and corporate power. So one 607 00:36:23,160 --> 00:36:26,680 Speaker 1: example of that is the censorship regime that was deployed 608 00:36:27,040 --> 00:36:30,960 Speaker 1: during COVID to control the flow of information online and 609 00:36:31,000 --> 00:36:35,040 Speaker 1: to silence people like me and others who were challenging 610 00:36:35,160 --> 00:36:40,480 Speaker 1: COVID public health policies. So our audience may have heard 611 00:36:40,520 --> 00:36:43,560 Speaker 1: of this case Missouri b. Biden that was filed by 612 00:36:43,600 --> 00:36:47,160 Speaker 1: the attorney generals of those two states against senior officials 613 00:36:47,160 --> 00:36:50,799 Speaker 1: in the Biden administration. And I happen to be one 614 00:36:50,840 --> 00:36:54,040 Speaker 1: of the private plaintiffs the four private plaintiffs in that case. 615 00:36:54,080 --> 00:36:58,200 Speaker 1: And we are alleging that the government was colluding with 616 00:36:58,400 --> 00:37:04,680 Speaker 1: social media companies like Facebook, Twitter to censor COVID dissenters, 617 00:37:04,800 --> 00:37:09,040 Speaker 1: COVID policy dissenters, and create a false sense of a 618 00:37:09,080 --> 00:37:16,320 Speaker 1: scientific consensus around things like lockdowns, vaccine mandates vaccine passports. Arguably, 619 00:37:16,360 --> 00:37:19,480 Speaker 1: private social media companies can decide to take people off 620 00:37:19,520 --> 00:37:24,440 Speaker 1: their platforms, but inarguably the federal government cannot do that, 621 00:37:24,520 --> 00:37:27,360 Speaker 1: cannot lean on these companies under the threat of regulation 622 00:37:27,880 --> 00:37:31,760 Speaker 1: to control the narrative around COVID. But that's our evidence 623 00:37:31,840 --> 00:37:36,920 Speaker 1: is suggesting that's precisely what they did. One positive development 624 00:37:36,920 --> 00:37:41,000 Speaker 1: in that case is that the judge recently approved our 625 00:37:41,080 --> 00:37:45,480 Speaker 1: request to depose Anthony Fauci and several other senior members 626 00:37:45,520 --> 00:37:49,759 Speaker 1: of the Biden administration and including the Surgeon General, the 627 00:37:49,840 --> 00:37:54,600 Speaker 1: previous and the current Press Secretary, Jensaki, and Jean Pierre. 628 00:37:55,320 --> 00:37:58,440 Speaker 1: And I'm not at liberty to say when and where, 629 00:37:58,520 --> 00:38:04,440 Speaker 1: but Anthony fauci deposition has been stable for the near future, 630 00:38:04,520 --> 00:38:06,640 Speaker 1: so that's going to happen very soon. This will be 631 00:38:06,680 --> 00:38:10,360 Speaker 1: the first time that Fauci and other senior administrative officials 632 00:38:10,360 --> 00:38:14,279 Speaker 1: will have to answer some pointed and difficult questions under oath, 633 00:38:15,040 --> 00:38:21,440 Speaker 1: with it the penalty of perjury regarding not only their 634 00:38:21,520 --> 00:38:27,520 Speaker 1: role in pandemic decision making, but are alleged our allegations 635 00:38:28,080 --> 00:38:32,400 Speaker 1: claiming that they also collaborated with these private entities to 636 00:38:32,480 --> 00:38:39,480 Speaker 1: make sure that dissenting opinions were silenced and sidelined. Should 637 00:38:39,600 --> 00:38:44,600 Speaker 1: children beginning this job. No, there's no reason for healthy 638 00:38:44,640 --> 00:38:48,239 Speaker 1: children to require a COVID vaccination. Healthy children are not 639 00:38:48,360 --> 00:38:54,719 Speaker 1: at risk of bad outcomes from the tiny, tiny handful 640 00:38:54,760 --> 00:38:58,920 Speaker 1: of cases that have resulted in mortality. And children are 641 00:38:58,920 --> 00:39:00,759 Speaker 1: and children who are very, very sick, the kind of 642 00:39:00,840 --> 00:39:04,880 Speaker 1: children who could die from the common cold or from influenza, 643 00:39:05,560 --> 00:39:08,120 Speaker 1: and so COVID. Fortunately, this is one of the silver 644 00:39:08,200 --> 00:39:13,080 Speaker 1: linings in this whole debacle. Fortunately children are not at 645 00:39:13,200 --> 00:39:15,400 Speaker 1: high risk from COVID, but we do know that there 646 00:39:15,400 --> 00:39:19,320 Speaker 1: are risks associated now with a vaccine, So to subject 647 00:39:19,480 --> 00:39:22,240 Speaker 1: children to any degree of risk, no matter how small, 648 00:39:22,640 --> 00:39:26,600 Speaker 1: doesn't make any sense unless they can potentially benefit from vaccination. 649 00:39:26,760 --> 00:39:30,719 Speaker 1: So there's there's no medical there's no ethical argument that 650 00:39:30,760 --> 00:39:35,880 Speaker 1: would support the mass vaccination of children against this particular illness. 651 00:39:35,960 --> 00:39:39,600 Speaker 1: The other childhood vaccines that we recommend or require of 652 00:39:39,680 --> 00:39:45,000 Speaker 1: children all protect children against diseases that can potentially harm 653 00:39:45,080 --> 00:39:48,040 Speaker 1: them measles and mumps and so forth. But COVID is 654 00:39:48,080 --> 00:39:51,080 Speaker 1: not one of those diseases, and trying to vaccinate children 655 00:39:51,160 --> 00:39:53,640 Speaker 1: is an attempt to use children as a sort of 656 00:39:53,640 --> 00:39:58,359 Speaker 1: shield to protect adults, and a healthy or a sane 657 00:39:58,400 --> 00:40:00,960 Speaker 1: society doesn't do that. And a healthy or saane society 658 00:40:01,200 --> 00:40:05,279 Speaker 1: adults take on risks in order to protect children. So 659 00:40:05,320 --> 00:40:07,920 Speaker 1: this is getting this is getting our ethical bearings sort 660 00:40:07,920 --> 00:40:13,279 Speaker 1: of totally upside down. Are we seeing the amount of 661 00:40:13,360 --> 00:40:15,880 Speaker 1: vaccine injuries that I continue to read these some of 662 00:40:15,920 --> 00:40:21,040 Speaker 1: these headlines are amazing. Is this thing hurting people? You know? 663 00:40:21,080 --> 00:40:23,920 Speaker 1: It is the best way to cut through a lot 664 00:40:23,960 --> 00:40:27,240 Speaker 1: of the arguments and a lot of the statistical noise 665 00:40:27,360 --> 00:40:31,359 Speaker 1: is to look at all cos mortality data. You can 666 00:40:31,440 --> 00:40:34,120 Speaker 1: argue about what caused the death of a person, but 667 00:40:34,160 --> 00:40:37,279 Speaker 1: it's hard to argue with the death certificates and the 668 00:40:37,360 --> 00:40:40,400 Speaker 1: bodies in the ground. And during the mass vaccination campaign 669 00:40:40,760 --> 00:40:43,239 Speaker 1: in twenty twenty one, we saw forty percent rise in 670 00:40:43,280 --> 00:40:47,760 Speaker 1: all cos mortality among people sixty four years and younger. 671 00:40:48,680 --> 00:40:54,120 Speaker 1: And that is a massive upswing in cos mortality that 672 00:40:54,200 --> 00:41:00,759 Speaker 1: has no other reasonable explanation than this massive intervention that 673 00:41:00,800 --> 00:41:03,719 Speaker 1: we rolled out on a widespread scale. So there's many 674 00:41:03,800 --> 00:41:09,160 Speaker 1: people looking at this data. Firm health insurance companies, stability 675 00:41:09,280 --> 00:41:12,960 Speaker 1: insurance companies on all cos mortality in twenty twenty one, 676 00:41:13,040 --> 00:41:17,320 Speaker 1: continuing on into this year, and it's very very concerning. 677 00:41:17,320 --> 00:41:19,520 Speaker 1: A ten percent rise in all cos mortality is a 678 00:41:19,600 --> 00:41:24,040 Speaker 1: one in two hundred year event, a very very rare spike, 679 00:41:24,120 --> 00:41:27,080 Speaker 1: and we're seeing we're seeing a spike that's four times 680 00:41:27,480 --> 00:41:30,600 Speaker 1: as large as that, you know, every two hundred year 681 00:41:30,680 --> 00:41:34,480 Speaker 1: type catastrophe that we haven't seen since World War One. 682 00:41:35,000 --> 00:41:39,360 Speaker 1: Another piece of evidence there, it comes from the data 683 00:41:39,440 --> 00:41:44,080 Speaker 1: that we got from our FOIA request to the FDA 684 00:41:44,160 --> 00:41:47,000 Speaker 1: to get the fiser data on which the authorization of 685 00:41:47,040 --> 00:41:50,000 Speaker 1: their vaccine was based. They wanted seventy five years to 686 00:41:50,040 --> 00:41:53,080 Speaker 1: release data that the FDA reviewed in only one hundred 687 00:41:53,080 --> 00:41:54,879 Speaker 1: and eight days. The judge said, no, you have about 688 00:41:54,920 --> 00:41:57,880 Speaker 1: eight months to release it. We're about to get the 689 00:41:57,960 --> 00:42:00,799 Speaker 1: last tranche of that data. But what we have so 690 00:42:00,800 --> 00:42:04,720 Speaker 1: far already shows a huge spike in vaccine adverse events 691 00:42:04,840 --> 00:42:08,360 Speaker 1: reported to the FDA in the first three months following 692 00:42:08,400 --> 00:42:12,120 Speaker 1: the vaccine rollout. And that includes not just my card items, 693 00:42:12,200 --> 00:42:14,399 Speaker 1: which is the side effect that most people have heard 694 00:42:14,440 --> 00:42:18,279 Speaker 1: about and that's been investigated most thoroughly, but it includes 695 00:42:18,920 --> 00:42:23,120 Speaker 1: adverse effects and injuries occurring in many other organ systems 696 00:42:23,560 --> 00:42:26,320 Speaker 1: as well. And so I worry that the myocard itis 697 00:42:26,480 --> 00:42:29,839 Speaker 1: is just the tip of the iceberg. In terms of 698 00:42:30,800 --> 00:42:37,239 Speaker 1: potential side effects of this novel intervention. The book is 699 00:42:37,280 --> 00:42:40,000 Speaker 1: the new Abnormal Doctor. Thank you so much for coming on. 700 00:42:42,160 --> 00:42:48,080 Speaker 1: Thanks Jesse, appreciate the opportunity it was. Look, it was 701 00:42:48,120 --> 00:42:52,080 Speaker 1: eye opening, wasn't it? Our medical community. Obviously it's not 702 00:42:52,120 --> 00:42:54,520 Speaker 1: all of them. There are so many doctors and nurses 703 00:42:54,560 --> 00:42:58,800 Speaker 1: and healthcare professionals who pushed back. But man, it woke 704 00:42:58,880 --> 00:43:02,600 Speaker 1: me up to our medical community. I'll tell you, I 705 00:43:02,640 --> 00:43:04,239 Speaker 1: don't like going to the doctor now. I don't go 706 00:43:04,400 --> 00:43:09,759 Speaker 1: much anymore. I personally, I've decided I'm going to take 707 00:43:09,800 --> 00:43:13,279 Speaker 1: better personal care of myself so I can avoid having 708 00:43:13,320 --> 00:43:15,080 Speaker 1: to go to the doctor. I don't trust them. I don't. 709 00:43:16,440 --> 00:43:19,200 Speaker 1: I tell you about me taking a male vitality stack 710 00:43:19,239 --> 00:43:21,760 Speaker 1: from chalk all the time. Look, that's a big reason 711 00:43:21,800 --> 00:43:27,040 Speaker 1: why natural herbal supplements. Twenty percent increase in my testosterone 712 00:43:27,080 --> 00:43:30,760 Speaker 1: levels doesn't just keep me, you know, more energy keeps 713 00:43:30,760 --> 00:43:35,719 Speaker 1: me away from the doctor. Ladies, female vitality stack. They 714 00:43:35,760 --> 00:43:38,720 Speaker 1: have these packs of lip powder. It's called lip powder. 715 00:43:39,640 --> 00:43:41,759 Speaker 1: Get some of this, put it in your smoothies in 716 00:43:41,800 --> 00:43:45,120 Speaker 1: the morning. Fill your body with vitamins and minerals. Avoid 717 00:43:45,160 --> 00:43:48,280 Speaker 1: the doctor, be healthy enough to avoid the doctor. Chalk 718 00:43:48,360 --> 00:43:51,280 Speaker 1: is a critical part of that. They've got thirty five 719 00:43:51,400 --> 00:43:54,680 Speaker 1: percent off subscriptions right now, so awesome. You have to 720 00:43:54,719 --> 00:44:00,200 Speaker 1: go to cho q dot com promo code Jesse. That 721 00:44:00,239 --> 00:44:02,719 Speaker 1: gets you thirty five percent off the subscriptions anything in 722 00:44:02,760 --> 00:44:07,120 Speaker 1: the store. Chock dot com promo code Jesse. We'll be 723 00:44:07,120 --> 00:44:18,839 Speaker 1: back all right. It's time to lighten the mood. Joe 724 00:44:18,880 --> 00:44:22,040 Speaker 1: Biden had a birthday yesterday, turned eighty years old. And 725 00:44:22,160 --> 00:44:24,960 Speaker 1: boys never look so sharp. Before we get to that, 726 00:44:25,120 --> 00:44:27,000 Speaker 1: before we get to that, let's get to this really quickly. 727 00:44:28,040 --> 00:44:30,600 Speaker 1: I get emails all the time. I love that you 728 00:44:30,640 --> 00:44:32,440 Speaker 1: send emails. By the way, I'm not complaining, but I 729 00:44:32,520 --> 00:44:35,200 Speaker 1: get emails to my show all the time. And one 730 00:44:35,200 --> 00:44:37,400 Speaker 1: of the main themes, because we're always talking about, you know, 731 00:44:37,440 --> 00:44:39,759 Speaker 1: putting your money where your morals are. Every day is 732 00:44:39,800 --> 00:44:41,839 Speaker 1: election day because of where you spend your money. Now 733 00:44:41,840 --> 00:44:44,879 Speaker 1: that all these companies are full blown communists, I want 734 00:44:44,880 --> 00:44:47,680 Speaker 1: to spend my money with people who share my values. 735 00:44:47,800 --> 00:44:49,880 Speaker 1: And I don't want to spend my money with people 736 00:44:49,880 --> 00:44:52,640 Speaker 1: who hate me. I know you do too, Jesse. You 737 00:44:52,680 --> 00:44:54,560 Speaker 1: need to start a list. I get people asking me 738 00:44:54,600 --> 00:44:56,880 Speaker 1: all this all the time. Start a website, give us 739 00:44:56,880 --> 00:44:59,480 Speaker 1: a list, where do we go? I don't have to. 740 00:45:00,400 --> 00:45:04,520 Speaker 1: Public sq has already done it. This tool already exists. 741 00:45:05,320 --> 00:45:08,600 Speaker 1: Download public sq in your app store. They have a 742 00:45:08,719 --> 00:45:11,600 Speaker 1: growing they're adding new businesses every day. They have a 743 00:45:11,680 --> 00:45:17,320 Speaker 1: growing database of businesses in your area that share your values. 744 00:45:17,800 --> 00:45:20,560 Speaker 1: Gotta go out wiped out actually right now for me, 745 00:45:20,760 --> 00:45:23,200 Speaker 1: my wife, kids, they're out chopping for things. They have 746 00:45:23,239 --> 00:45:24,680 Speaker 1: to pick up some things for thanks you for being 747 00:45:24,680 --> 00:45:28,680 Speaker 1: coming up. Guess where they went first? Public sq who 748 00:45:28,760 --> 00:45:32,120 Speaker 1: shares your values. That's how you put your money where 749 00:45:32,120 --> 00:45:34,919 Speaker 1: your morals are. Download public sq in the app store. 750 00:45:34,920 --> 00:45:40,000 Speaker 1: All right, Happy birthday, Joe the Wonderer. Courtesy of my 751 00:45:40,040 --> 00:45:57,840 Speaker 1: buddies at Gravant Down. Pretty girls are well. You know 752 00:45:58,080 --> 00:46:01,960 Speaker 1: that I'm around some and I love them because to me, 753 00:46:02,040 --> 00:46:05,319 Speaker 1: they're all the same. I will come in, I squeeze them. 754 00:46:05,640 --> 00:46:07,960 Speaker 1: They don't even know my name. They call me the 755 00:46:08,080 --> 00:46:17,680 Speaker 1: wander wander all around around. Oh Alice, I'm my left 756 00:46:17,719 --> 00:46:21,840 Speaker 1: commends marry on my right, and Genie is the girl 757 00:46:22,000 --> 00:46:25,799 Speaker 1: well that I'll be with the night. She asked me 758 00:46:26,080 --> 00:46:29,200 Speaker 1: you which one I love the best of my terror 759 00:46:29,600 --> 00:46:32,719 Speaker 1: My churt a little a rosie on my jasscause I'm 760 00:46:32,880 --> 00:46:40,879 Speaker 1: wander I don't wander around around, around around. Oh well, 761 00:46:40,960 --> 00:46:50,560 Speaker 1: I roam around child town. Oh, happy birthday, Joe, see 762 00:46:50,600 --> 00:47:02,720 Speaker 1: them all. Each morning, the President of the United States 763 00:47:02,719 --> 00:47:05,960 Speaker 1: receives a highly classified briefing on the most important issues 764 00:47:06,000 --> 00:47:09,880 Speaker 1: facing the country. It's called the President's Daily Brief, or PDB. 765 00:47:10,120 --> 00:47:13,319 Speaker 1: It's delivered by America's spies and analysts. Well, now you 766 00:47:13,400 --> 00:47:16,200 Speaker 1: can hear your very own PDB in the form of 767 00:47:16,200 --> 00:47:19,920 Speaker 1: a podcast hosted by me Brian Deanwright, a former CIA 768 00:47:20,000 --> 00:47:23,279 Speaker 1: operations officer. Each morning at six a m. Eastern, I'll 769 00:47:23,280 --> 00:47:25,640 Speaker 1: bring you fifteen to twenty minutes of the most important 770 00:47:25,680 --> 00:47:28,800 Speaker 1: issues facing the country, giving you the critical intelligence and 771 00:47:28,880 --> 00:47:31,680 Speaker 1: analysis you need to start your morning.