1 00:00:03,880 --> 00:00:09,360 Speaker 1: It's that time time, time, time, Luck and load. 2 00:00:11,320 --> 00:00:12,480 Speaker 2: The Michael Verie. 3 00:00:12,360 --> 00:00:39,800 Speaker 1: Show is on the air. The more we know, the 4 00:00:39,920 --> 00:00:48,720 Speaker 1: worse it gives. Here is a story a whistleblower talking 5 00:00:48,800 --> 00:00:59,120 Speaker 1: to Josh Hawley about illegals getting long term disability so 6 00:00:59,720 --> 00:01:04,120 Speaker 1: they get Social Security for life. It's a whistleblower testifying 7 00:01:04,120 --> 00:01:07,920 Speaker 1: before the Senate and he says that they were incentivized 8 00:01:08,120 --> 00:01:10,679 Speaker 1: to get these people on government programs that they would 9 00:01:10,680 --> 00:01:15,200 Speaker 1: stay on for the rest of their lives. It's so 10 00:01:15,319 --> 00:01:17,720 Speaker 1: much worse than you imagine, folks. 11 00:01:17,959 --> 00:01:22,640 Speaker 3: They wanted us to try to identify them in such 12 00:01:22,640 --> 00:01:25,960 Speaker 3: a way that they would qualify for long term sub 13 00:01:26,000 --> 00:01:32,600 Speaker 3: security disability now yeah, and long term security disabilities for life. 14 00:01:32,720 --> 00:01:33,039 Speaker 2: Yeah. 15 00:01:33,080 --> 00:01:36,119 Speaker 3: So if they get identified and qualify for long term 16 00:01:36,160 --> 00:01:39,560 Speaker 3: sub security disability, they are as good as set up 17 00:01:39,600 --> 00:01:41,160 Speaker 3: for life for medical treatment. 18 00:01:41,319 --> 00:01:43,640 Speaker 2: That doesn't sound like a refugee to me, just being honest. 19 00:01:43,720 --> 00:01:46,800 Speaker 4: That sounds like somebody who's planning on staying here, just 20 00:01:46,840 --> 00:01:48,600 Speaker 4: stays until the problem's over and. 21 00:01:48,600 --> 00:01:51,639 Speaker 2: Then goes, oh, well, that's right. And so. 22 00:01:53,120 --> 00:01:56,160 Speaker 3: They instructed us to try to identify to try to 23 00:01:56,160 --> 00:01:59,040 Speaker 3: get the client because once they arrive here where they're 24 00:01:59,040 --> 00:01:59,960 Speaker 3: now called clients. 25 00:02:01,040 --> 00:02:02,520 Speaker 2: They're called clients. 26 00:02:02,800 --> 00:02:07,840 Speaker 1: Imagine that. Imagine that we're gonna like like we're a 27 00:02:07,880 --> 00:02:10,959 Speaker 1: business and they're our customer, but instead there are people 28 00:02:11,000 --> 00:02:14,040 Speaker 1: who are breaking in here and taking what you're paying for, 29 00:02:14,280 --> 00:02:15,440 Speaker 1: which you're entitled to. 30 00:02:17,520 --> 00:02:20,560 Speaker 2: Sure, and so so. 31 00:02:21,400 --> 00:02:23,520 Speaker 3: They told us that we needed to talk to the 32 00:02:23,600 --> 00:02:27,840 Speaker 3: client and ask them if they had any uh, headaches, 33 00:02:27,919 --> 00:02:33,000 Speaker 3: recurring headaches, or any lower back problems, excuse me, anything 34 00:02:33,000 --> 00:02:37,160 Speaker 3: that would qualify them for so Security long term disability. 35 00:02:37,360 --> 00:02:39,680 Speaker 2: Wait wait ho wait wait wait, so let me get 36 00:02:39,680 --> 00:02:40,040 Speaker 2: this straight. 37 00:02:40,560 --> 00:02:45,200 Speaker 4: Part of the screening is supposed to be are you sick, maimed, injured, whatever? 38 00:02:45,440 --> 00:02:48,920 Speaker 2: Right, Okay, good, you can come in, you get on 39 00:02:48,960 --> 00:02:49,560 Speaker 2: the airplane. 40 00:02:49,840 --> 00:02:53,480 Speaker 4: Are you sick, maimed, injured, whatever, Yes, good, so we 41 00:02:53,520 --> 00:02:57,680 Speaker 4: can give you disability correct what, Yes, this is insanity. 42 00:02:57,800 --> 00:02:59,680 Speaker 3: Yes, it is insaney. 43 00:02:59,680 --> 00:03:02,600 Speaker 4: But in order to get Social Security disability benefits, don't 44 00:03:02,639 --> 00:03:04,400 Speaker 4: you need a Social Security number? 45 00:03:05,120 --> 00:03:06,440 Speaker 2: Well we are. 46 00:03:06,600 --> 00:03:08,480 Speaker 3: We were instructed in the meeting that one of the 47 00:03:08,480 --> 00:03:10,360 Speaker 3: first things we were supposed to do was sign them 48 00:03:10,440 --> 00:03:11,440 Speaker 3: up for Social Security. 49 00:03:12,120 --> 00:03:14,680 Speaker 1: Okay, hold on, hold on, remo, want you to listen 50 00:03:14,760 --> 00:03:18,720 Speaker 1: very carefully. They are telling these people this is what 51 00:03:18,760 --> 00:03:21,280 Speaker 1: we want you to do. This isn't a rogue employee. 52 00:03:21,520 --> 00:03:26,000 Speaker 1: This is a whistleblower saying we were instructed to do this. 53 00:03:26,000 --> 00:03:29,200 Speaker 1: This is the great replacement theory. This is bringing in 54 00:03:29,240 --> 00:03:32,560 Speaker 1: people from third world countries to put them on the 55 00:03:32,560 --> 00:03:35,160 Speaker 1: government role, to get them to vote for the government 56 00:03:35,160 --> 00:03:37,280 Speaker 1: that you would never be able to defeat. After this, 57 00:03:37,360 --> 00:03:39,080 Speaker 1: you'd be out there. You're stuck. 58 00:03:42,200 --> 00:03:47,120 Speaker 4: Yeah, wait, this is unbelievable. So they come over here 59 00:03:47,160 --> 00:03:50,320 Speaker 4: and they get a soci Security number, right, they become. 60 00:03:50,160 --> 00:03:53,920 Speaker 2: Legal, correct, Paul. 61 00:03:53,840 --> 00:03:55,040 Speaker 1: My leg No I'm not. 62 00:03:56,040 --> 00:03:59,960 Speaker 3: And then after we process them for Social Security cards, 63 00:04:00,480 --> 00:04:03,440 Speaker 3: then we were to process them for a US passport. 64 00:04:03,760 --> 00:04:05,160 Speaker 2: No, you're not. 65 00:04:07,800 --> 00:04:11,920 Speaker 3: So that's about the time I kind of decided, Okay, 66 00:04:11,960 --> 00:04:15,000 Speaker 3: I was done. I've heard everything I want to know. 67 00:04:15,360 --> 00:04:18,799 Speaker 3: I was so angry about this that they would receive 68 00:04:18,839 --> 00:04:19,839 Speaker 3: a US passport. 69 00:04:19,920 --> 00:04:22,400 Speaker 2: It just, you know, I just couldn't believe it. 70 00:04:22,440 --> 00:04:24,480 Speaker 3: I couldn't believe that we were giving these people so 71 00:04:24,640 --> 00:04:28,880 Speaker 3: Security cards and US passports and free medical, free housing, 72 00:04:29,360 --> 00:04:32,000 Speaker 3: free food, free everything. 73 00:04:32,839 --> 00:04:33,080 Speaker 2: Yeah. 74 00:04:33,080 --> 00:04:35,560 Speaker 4: But this is the thing that bothers because the food 75 00:04:35,640 --> 00:04:38,280 Speaker 4: we can recoup from and the money irritates me, but 76 00:04:38,400 --> 00:04:40,039 Speaker 4: we can earn it back and we can stop the 77 00:04:40,080 --> 00:04:43,000 Speaker 4: program or whatever it is. But once you give somebody 78 00:04:43,000 --> 00:04:46,480 Speaker 4: a Social Security number and you give them what considered 79 00:04:46,520 --> 00:04:51,479 Speaker 4: globally the Golden Ticket, which is a US passport, right. 80 00:04:51,920 --> 00:04:54,599 Speaker 2: That is beyond comprehension that we're doing this. That's right. 81 00:04:55,040 --> 00:04:56,680 Speaker 2: Do bureaucrats know this is happening? 82 00:04:57,640 --> 00:05:03,080 Speaker 3: Well, interestingly enough know they don't. A lot of governors 83 00:05:03,120 --> 00:05:06,520 Speaker 3: are unaware of how many refugees have come into their state, 84 00:05:06,960 --> 00:05:11,440 Speaker 3: where they're located, under what conditions they've arrived. And I 85 00:05:11,520 --> 00:05:14,520 Speaker 3: believe this is intentional. I believe this is intentional. Now 86 00:05:14,560 --> 00:05:17,159 Speaker 3: we do know that the governor of Texas and the 87 00:05:17,160 --> 00:05:21,560 Speaker 3: governor of Tennessee have both stopped this and they're refusing 88 00:05:21,600 --> 00:05:25,880 Speaker 3: to take any more refugees. In fact, federal government has 89 00:05:25,920 --> 00:05:29,000 Speaker 3: filed a lawsuit against both of those states because they're 90 00:05:29,040 --> 00:05:30,159 Speaker 3: refusing to take any. 91 00:05:29,960 --> 00:05:32,080 Speaker 2: More refuge How dare you keep your people safe? 92 00:05:32,600 --> 00:05:32,800 Speaker 5: Right? 93 00:05:33,160 --> 00:05:36,480 Speaker 4: But okay, so let's just say all the states are 94 00:05:36,480 --> 00:05:38,880 Speaker 4: saying we want to pull out of this refugee resettlement 95 00:05:38,960 --> 00:05:41,839 Speaker 4: program from the federal government, then they're fine, right, there's 96 00:05:41,839 --> 00:05:43,320 Speaker 4: no other way the refugees are getting in. 97 00:05:43,680 --> 00:05:50,960 Speaker 1: Well, no, hold on, you realize that before those The 98 00:05:51,000 --> 00:05:53,760 Speaker 1: only way we could ever find anything was from a whistleblower, 99 00:05:54,960 --> 00:05:58,080 Speaker 1: and people were scared to death to speak out. What 100 00:05:58,200 --> 00:06:00,800 Speaker 1: those you're showing is the dollars and cents she's telling 101 00:06:00,839 --> 00:06:04,280 Speaker 1: you the story of is how it actually went down. 102 00:06:04,320 --> 00:06:07,400 Speaker 1: The dollars and cents can't account for this. Those can 103 00:06:07,520 --> 00:06:12,799 Speaker 1: only give you the numbers, and they're staggering, but she's 104 00:06:12,839 --> 00:06:15,240 Speaker 1: telling you. Yeah, they told us, Hey, here's what you do. 105 00:06:15,279 --> 00:06:17,320 Speaker 1: When the person comes in, you do this. We were 106 00:06:17,360 --> 00:06:21,159 Speaker 1: instructed to do this. You know why they called you 107 00:06:21,200 --> 00:06:26,360 Speaker 1: conspiracy theorists and racists because they couldn't argue that what 108 00:06:26,400 --> 00:06:29,840 Speaker 1: you said wasn't true, and they couldn't argue with you 109 00:06:30,640 --> 00:06:34,159 Speaker 1: that you should allow your country, You shouldn't allow yourself 110 00:06:34,200 --> 00:06:36,400 Speaker 1: to be replaced by people from third world countries who 111 00:06:36,400 --> 00:06:38,920 Speaker 1: they brought here and put on government programs that were 112 00:06:38,920 --> 00:06:43,000 Speaker 1: not intended for foreigners who were coming here illegally, and 113 00:06:43,040 --> 00:06:46,320 Speaker 1: by giving them a Social Security number, you're enabling them 114 00:06:46,320 --> 00:06:51,080 Speaker 1: to work, you're enabling them to benefit from government programs, 115 00:06:51,600 --> 00:06:54,400 Speaker 1: and by the way, you're putting them on long term 116 00:06:54,440 --> 00:06:57,480 Speaker 1: social security. And you're making very clear all the while 117 00:06:57,880 --> 00:07:03,120 Speaker 1: this is the government that Democrats are the government. I'll 118 00:07:03,120 --> 00:07:05,840 Speaker 1: play you a clip coming up of the fact that 119 00:07:06,440 --> 00:07:10,640 Speaker 1: government employees are so left leaning as our university professors. 120 00:07:10,680 --> 00:07:14,480 Speaker 1: By the way, but government employees are left leaning, and 121 00:07:14,840 --> 00:07:19,560 Speaker 1: so anything the government does, they want to make sure 122 00:07:19,920 --> 00:07:23,200 Speaker 1: that the Democrats stay in power, because the Democrats are 123 00:07:23,240 --> 00:07:27,240 Speaker 1: the one that want to take from individuals, whether at 124 00:07:27,280 --> 00:07:30,600 Speaker 1: their home or in their business, get it for the government, 125 00:07:30,680 --> 00:07:37,360 Speaker 1: and redistribute it amongst themselves. It's not only a simplistic 126 00:07:38,480 --> 00:07:44,520 Speaker 1: and diabolical plan, it's genius. It's how you take this 127 00:07:44,720 --> 00:07:49,520 Speaker 1: country and destroy it. What our people still struggle with 128 00:07:49,720 --> 00:07:52,800 Speaker 1: is but why would they do that that would destroy 129 00:07:52,880 --> 00:07:56,240 Speaker 1: the country that they live in. You realize they don't 130 00:07:56,280 --> 00:07:59,840 Speaker 1: want this country to succeed. They don't view that as success. 131 00:08:00,480 --> 00:08:04,040 Speaker 1: These are people who think that Trump is failing. These 132 00:08:04,080 --> 00:08:08,360 Speaker 1: are people who hate to see the doze, They hate 133 00:08:08,400 --> 00:08:12,040 Speaker 1: to see the waste uncovered. These are the runts of 134 00:08:12,080 --> 00:08:15,120 Speaker 1: the litter. These are not people who work hard and 135 00:08:15,160 --> 00:08:20,320 Speaker 1: want success. These are angry, bitter, resentful, evil, awful thieves 136 00:08:20,320 --> 00:08:30,320 Speaker 1: and names. Please clap. We can never forget what happened 137 00:08:30,360 --> 00:08:34,800 Speaker 1: under COVID and with cash PTEL at FBI, We're going 138 00:08:34,880 --> 00:08:37,840 Speaker 1: to learn some things that. I think a lot of 139 00:08:37,920 --> 00:08:42,840 Speaker 1: people thought some of us were crazy conspiracy theorists because 140 00:08:44,000 --> 00:08:46,680 Speaker 1: the government wouldn't intentionally tell us to take a shot 141 00:08:47,679 --> 00:08:49,800 Speaker 1: that might kill us, or that they knew might kill us. 142 00:08:50,480 --> 00:08:53,560 Speaker 1: And I think people are frankly shocked now, and they're 143 00:08:53,600 --> 00:08:56,400 Speaker 1: going to be more shocked when they find out that 144 00:08:57,280 --> 00:09:01,680 Speaker 1: decision makers knew what was happening and chose to hide 145 00:09:01,760 --> 00:09:06,440 Speaker 1: it from us, that the experts and the science were 146 00:09:06,480 --> 00:09:10,200 Speaker 1: working against us and our naivete This is why I 147 00:09:10,240 --> 00:09:14,280 Speaker 1: refer to the biggest problem in America being the nice neighbor, 148 00:09:14,760 --> 00:09:18,360 Speaker 1: the naive neighbor who thinks, well, they told us, the 149 00:09:18,400 --> 00:09:20,240 Speaker 1: experts told us to take a shot. Yeah, but the 150 00:09:20,280 --> 00:09:23,240 Speaker 1: shots are killing people. Well, I just don't believe that 151 00:09:23,640 --> 00:09:25,480 Speaker 1: because you don't want to believe it. You don't want 152 00:09:25,480 --> 00:09:29,200 Speaker 1: to believe it because confronting that reality would force you 153 00:09:29,320 --> 00:09:33,120 Speaker 1: to think independently and not trust, like a wayward oath 154 00:09:33,200 --> 00:09:35,959 Speaker 1: of a child. And that's not what you are. You're 155 00:09:35,960 --> 00:09:38,800 Speaker 1: not a little waif. You're not a leaf blowing in 156 00:09:38,840 --> 00:09:42,880 Speaker 1: the wind hoping for someone to place you safely. Doctor 157 00:09:42,880 --> 00:09:45,600 Speaker 1: Deborah Burks, you know this woman was the expert. At 158 00:09:45,600 --> 00:09:49,560 Speaker 1: one point, she was part of the White House Coronavirus 159 00:09:49,600 --> 00:09:53,199 Speaker 1: Task Force. From February of twenty to January of twenty one, 160 00:09:53,240 --> 00:09:57,480 Speaker 1: she was on TV every afternoon. Remember this, This is 161 00:09:57,480 --> 00:10:00,719 Speaker 1: clip six twenty four ramon. She told Peers Morgan, the 162 00:10:00,800 --> 00:10:06,960 Speaker 1: government botched the COVID response by overlooking early treatments. Do 163 00:10:07,000 --> 00:10:13,960 Speaker 1: you know what overlooking early treatment means? Refusing to acknowledge reality. 164 00:10:14,720 --> 00:10:19,040 Speaker 1: That's not science, folks, Do you understand this was never 165 00:10:19,280 --> 00:10:20,640 Speaker 1: about science. 166 00:10:22,920 --> 00:10:26,840 Speaker 6: I got to travel a country for many months during COVID, 167 00:10:26,960 --> 00:10:30,000 Speaker 6: working at the state level and the community level, and 168 00:10:30,080 --> 00:10:34,840 Speaker 6: what I witnessed was a lot of undiagnosed disease that 169 00:10:34,880 --> 00:10:38,480 Speaker 6: could have been treated early that then resulted in COVID deaths. 170 00:10:38,920 --> 00:10:43,520 Speaker 6: And I saw a health system that had cletely deteriorated 171 00:10:43,640 --> 00:10:47,360 Speaker 6: in our rural areas. Our rural areas really don't have 172 00:10:47,520 --> 00:10:50,640 Speaker 6: access to healthcare anymore. And the hubbn spoke model that 173 00:10:50,679 --> 00:10:53,640 Speaker 6: we had set up to get really sick people into 174 00:10:53,720 --> 00:10:58,600 Speaker 6: the regional medical centers, they were overwhelmed themselves. So COVID 175 00:10:58,640 --> 00:11:01,520 Speaker 6: pointed out a lot of our issues with chronic disease, 176 00:11:02,400 --> 00:11:05,600 Speaker 6: like with early HIV. When we started, we were only 177 00:11:05,600 --> 00:11:06,920 Speaker 6: treating those with symptoms. 178 00:11:07,160 --> 00:11:08,800 Speaker 2: Well, that was the tip of the iceberg. 179 00:11:09,120 --> 00:11:13,960 Speaker 6: When we finally started working and finding asymptomatic individuals and 180 00:11:14,000 --> 00:11:17,640 Speaker 6: getting them on treatment early before they had evidence of disease, 181 00:11:18,000 --> 00:11:18,760 Speaker 6: they could thrive. 182 00:11:19,400 --> 00:11:23,840 Speaker 1: There was a doctor in Houston named Stella Emmanuel. She 183 00:11:23,960 --> 00:11:27,840 Speaker 1: was from Nigeria and she ran a little clinic, probably 184 00:11:27,840 --> 00:11:32,079 Speaker 1: still does. Heavy set black woman. She has a diastema 185 00:11:32,120 --> 00:11:35,160 Speaker 1: which is a gap in her teeth, which is nothing 186 00:11:35,200 --> 00:11:37,080 Speaker 1: wrong with it. My son Crockett was born with one. 187 00:11:37,120 --> 00:11:38,880 Speaker 1: He didn't want it, so we got embraces. I thought 188 00:11:38,880 --> 00:11:41,559 Speaker 1: it looked cool. But whatever, Yannick Noah had one, I 189 00:11:41,559 --> 00:11:45,439 Speaker 1: always thought that was cool. Anyway, Just describing the woman, 190 00:11:46,480 --> 00:11:49,600 Speaker 1: she was from Nigeria and she was treating poor patients 191 00:11:49,640 --> 00:11:55,800 Speaker 1: at her clinic and having been trained and experience in 192 00:11:56,200 --> 00:11:59,520 Speaker 1: Africa where they didn't have the high dollar health system 193 00:11:59,520 --> 00:12:02,200 Speaker 1: we have here. They have to and this is true 194 00:12:02,200 --> 00:12:04,280 Speaker 1: in India and Ethiopia and a lot of other places. 195 00:12:04,600 --> 00:12:08,880 Speaker 1: They have to find ways to treat illness short of 196 00:12:09,040 --> 00:12:13,560 Speaker 1: expensive pharmaceutical products that people cannot afford, and you got 197 00:12:13,600 --> 00:12:18,200 Speaker 1: the masses that are poor. My wife's mother was a doctor. 198 00:12:18,440 --> 00:12:21,160 Speaker 1: She passed when my wife was nine. She was a doctor, 199 00:12:21,240 --> 00:12:23,199 Speaker 1: and she ran a medical clinic out of their house, 200 00:12:24,080 --> 00:12:27,320 Speaker 1: and so one half of the house was the medical clinic. 201 00:12:27,360 --> 00:12:30,439 Speaker 1: The other half was where my wife and her sister 202 00:12:30,480 --> 00:12:34,000 Speaker 1: and her dad would be while mom was treating patients, 203 00:12:34,600 --> 00:12:37,439 Speaker 1: and she had to find ways to treat people with 204 00:12:38,280 --> 00:12:45,480 Speaker 1: homeopathic products, with things that were cheap. And hydroxychloroquin has 205 00:12:45,520 --> 00:12:48,400 Speaker 1: been a drug that has been used for a very 206 00:12:48,440 --> 00:12:51,440 Speaker 1: long time. It's won all sorts of awards, and in 207 00:12:51,520 --> 00:12:55,040 Speaker 1: poor people nations, it's like rice, it goes a long way. 208 00:12:55,080 --> 00:13:00,680 Speaker 1: It's a superfood. It's something called Injera in Ethiopia, So 209 00:13:00,720 --> 00:13:05,480 Speaker 1: you got a place that is incredibly poor and they 210 00:13:05,520 --> 00:13:09,280 Speaker 1: have the most protein rich bread products called a tef 211 00:13:09,840 --> 00:13:13,000 Speaker 1: and they make it into what looks like a samosa 212 00:13:13,120 --> 00:13:16,360 Speaker 1: or like a pancake, and they use it with their 213 00:13:16,360 --> 00:13:18,720 Speaker 1: hands to grab the meat, whatever meat you have. If not, 214 00:13:18,800 --> 00:13:20,920 Speaker 1: you just eat sauce. But at least you get protein 215 00:13:21,040 --> 00:13:24,480 Speaker 1: out of this grain. And we don't eat it here, 216 00:13:24,840 --> 00:13:27,840 Speaker 1: but thank god they have it because it's a life sustainer. 217 00:13:28,160 --> 00:13:33,040 Speaker 1: Hydroxy Chloroquine is a life sustainer. And stell Emmanuel was 218 00:13:33,120 --> 00:13:36,360 Speaker 1: treating patients who were coming in and scared to death 219 00:13:36,400 --> 00:13:40,280 Speaker 1: with COVID with hydroxychloroquin. They made her out to be crazy. 220 00:13:40,920 --> 00:13:43,520 Speaker 1: They said she was a witch doctor, and they dug 221 00:13:43,600 --> 00:13:45,440 Speaker 1: up this or that that, you know, and when she 222 00:13:45,480 --> 00:13:47,680 Speaker 1: was in Nigeria she said this or But she was 223 00:13:47,720 --> 00:13:50,520 Speaker 1: saving people's lives. She was part of a group called 224 00:13:50,640 --> 00:13:55,040 Speaker 1: Frontline Doctors. And there were these doctors that were out there, 225 00:13:55,120 --> 00:13:57,800 Speaker 1: and you know, plenty of them. Mary Tally Boden was one, 226 00:13:57,800 --> 00:14:03,119 Speaker 1: Stella Emmanuel was one. There were these doctors Malone McCullough 227 00:14:03,640 --> 00:14:06,280 Speaker 1: who were saying, hey, this is what we're experiencing with 228 00:14:06,320 --> 00:14:11,240 Speaker 1: our patients. Well, they didn't want them using hydroxychlorical because 229 00:14:11,280 --> 00:14:13,720 Speaker 1: it was cheap and Pfizer wouldn't make money off of it. 230 00:14:14,200 --> 00:14:18,440 Speaker 1: So here's doctor Simon Gold telling Jordan Peterson why drugs 231 00:14:18,520 --> 00:14:22,840 Speaker 1: like hydroxychloroquin were disregarded and vilified. They were made out 232 00:14:22,880 --> 00:14:26,120 Speaker 1: to be remember remember ivermectin. They were made out to 233 00:14:26,160 --> 00:14:30,200 Speaker 1: be dangerous to human beings. And these were super drugs. 234 00:14:30,240 --> 00:14:34,560 Speaker 1: They're cheap, they're plentiful, they're effective with little to no 235 00:14:34,680 --> 00:14:35,320 Speaker 1: side effects. 236 00:14:35,960 --> 00:14:37,600 Speaker 7: I'm down against hydroxychloroquin. 237 00:14:37,920 --> 00:14:38,400 Speaker 3: Why was that. 238 00:14:38,840 --> 00:14:40,600 Speaker 2: Let's lay that oat just briefly, right. 239 00:14:40,600 --> 00:14:42,800 Speaker 7: In real time? It was bizarre people coming out against it. 240 00:14:42,800 --> 00:14:45,480 Speaker 7: It's seventy years approved by the FTA, it's completely nine 241 00:14:45,480 --> 00:14:47,040 Speaker 7: across the world. It's over the counter. 242 00:14:47,200 --> 00:14:48,280 Speaker 1: So those are the reasons. 243 00:14:48,600 --> 00:14:52,080 Speaker 7: It turns out in America, to release the vaccine on 244 00:14:52,160 --> 00:14:57,280 Speaker 7: an EUA, the Emergency Use Authorization Schedule, the prerequisite is 245 00:14:57,280 --> 00:15:01,160 Speaker 7: that there's no or the other treatment available damning clause. 246 00:15:01,400 --> 00:15:04,440 Speaker 1: If anything else worked it had been preapproved. 247 00:15:03,960 --> 00:15:06,760 Speaker 7: By law, you would not able to release the flat shops. 248 00:15:06,800 --> 00:15:09,160 Speaker 7: So starting the middle of March twenty twenty, it was 249 00:15:09,280 --> 00:15:12,720 Speaker 7: like poison. You know, people were scared. The chain pharmaceuticals 250 00:15:12,800 --> 00:15:15,800 Speaker 7: were instructing their pharmacists not to prescribe it. If a 251 00:15:15,840 --> 00:15:18,640 Speaker 7: patient came in, the pharmacists would get a red box 252 00:15:18,680 --> 00:15:22,120 Speaker 7: on their screen. So pharmacists at the drug store were 253 00:15:22,160 --> 00:15:25,400 Speaker 7: being empowered to interfere with the practice of medicine, which 254 00:15:25,440 --> 00:15:28,920 Speaker 7: in America is illegal. They're specifically, by law not allowed 255 00:15:28,920 --> 00:15:31,680 Speaker 7: to interfere with the doctor's decision. All day long, that's 256 00:15:31,720 --> 00:15:33,360 Speaker 7: all they did. So if you found yourself a doctor 257 00:15:33,360 --> 00:15:35,240 Speaker 7: who would prescribe it, the pharmacists blocked it. 258 00:15:37,080 --> 00:15:39,680 Speaker 1: And we saw this in case after case after case. 259 00:15:40,560 --> 00:15:42,560 Speaker 1: All the while, what was the President of the United States. 260 00:15:42,600 --> 00:15:45,680 Speaker 1: But surely the president wouldn't lie to you, right, Surely 261 00:15:45,720 --> 00:15:50,400 Speaker 1: the president wouldn't lie to you. Right. The various shots 262 00:15:50,400 --> 00:15:54,680 Speaker 1: that people are getting now cover that you're okay going 263 00:15:54,760 --> 00:15:56,800 Speaker 1: to You're not going to get COVID if you have 264 00:15:57,240 --> 00:16:01,560 Speaker 1: these vaccinations. I mean, who gets better information than the president. 265 00:16:02,120 --> 00:16:05,320 Speaker 1: You're not going to get COVID if you've had these vaccinations, 266 00:16:05,400 --> 00:16:08,200 Speaker 1: not even a vaccine. By the way, it was never 267 00:16:08,240 --> 00:16:10,920 Speaker 1: approved here as a vaccine. What was approved here was 268 00:16:10,960 --> 00:16:13,840 Speaker 1: not delivered here, was not being administered here, and it 269 00:16:13,960 --> 00:16:16,480 Speaker 1: never stopped you from getting COVID, and it never stopped 270 00:16:16,520 --> 00:16:18,880 Speaker 1: you from passing COVID. And you weren't going to die 271 00:16:18,960 --> 00:16:24,720 Speaker 1: from COVID unless you were morbidly obese or very elderly 272 00:16:24,800 --> 00:16:31,160 Speaker 1: on the and the cold would have taken the Michael 273 00:16:31,280 --> 00:16:34,720 Speaker 1: Verry Show on the subject of what was done. My 274 00:16:34,720 --> 00:16:37,440 Speaker 1: brother died during COVID, and I believe it was because 275 00:16:37,480 --> 00:16:39,520 Speaker 1: the shot which he had just taken, he was required 276 00:16:39,560 --> 00:16:42,720 Speaker 1: to was active duty law enforcement. They were requiring them 277 00:16:42,720 --> 00:16:44,680 Speaker 1: all across the country, and a lot of law enforcement. 278 00:16:44,680 --> 00:16:48,320 Speaker 1: In fact, there's a whole lawsuit that law enforcement are 279 00:16:48,360 --> 00:16:51,560 Speaker 1: assuing over the number of officers who were seriously injured 280 00:16:52,080 --> 00:16:58,320 Speaker 1: or killed by that injection. There's a fellow named doctor 281 00:16:58,400 --> 00:17:03,720 Speaker 1: Roger Hodkinson. Heard of him before, and he was being 282 00:17:03,760 --> 00:17:09,120 Speaker 1: interviewed on something called just Right Media. And the only 283 00:17:09,160 --> 00:17:12,919 Speaker 1: reason I play this is the sentiment he expresses is 284 00:17:12,960 --> 00:17:16,040 Speaker 1: how I feel. I am not in the mood to 285 00:17:16,160 --> 00:17:19,920 Speaker 1: forgive and forget over what happened. You know, Jews don't 286 00:17:20,000 --> 00:17:22,560 Speaker 1: just forgive and forget over the Holocaust. They chased those 287 00:17:22,600 --> 00:17:26,240 Speaker 1: bastards down and punish them. I am not a forgive 288 00:17:26,320 --> 00:17:30,359 Speaker 1: or forget, forgive and forget guy over people who abused 289 00:17:30,400 --> 00:17:33,959 Speaker 1: their authority in this country and lied and the lives 290 00:17:33,960 --> 00:17:36,800 Speaker 1: that were lost as a result of it. I want vengeance. 291 00:17:36,880 --> 00:17:40,840 Speaker 1: I want punishment. I am. I mean, it's old Testament here, folks. 292 00:17:41,320 --> 00:17:43,119 Speaker 1: I'm not turning the other cheek on this one. But 293 00:17:43,200 --> 00:17:46,159 Speaker 1: listen his sentiment. If you wonder where my head is, 294 00:17:46,280 --> 00:17:48,840 Speaker 1: this is how I feel. Shall we forgive and forget? 295 00:17:49,000 --> 00:17:54,159 Speaker 8: Absolutely not. I'm full of vengeance, so I am vengeful. 296 00:17:55,560 --> 00:17:57,720 Speaker 8: It's not a time to say I'm sorry, So time 297 00:17:57,760 --> 00:18:00,840 Speaker 8: to put these bastards in jail. I'm calling it the 298 00:18:00,920 --> 00:18:07,600 Speaker 8: big kill We've seen, the biggest kill ever in medicine's 299 00:18:07,720 --> 00:18:13,760 Speaker 8: history directly because of the intervention of these idiots into healthcare. 300 00:18:15,480 --> 00:18:18,520 Speaker 8: And it's the physicians. It's not just the politicians, it's 301 00:18:18,560 --> 00:18:24,119 Speaker 8: the physicians themselves who are principally culpable because they have 302 00:18:24,200 --> 00:18:30,280 Speaker 8: allowed government's jack boots to influence how they manage their patients, 303 00:18:30,320 --> 00:18:34,359 Speaker 8: which has never ever happened before. First, do no harm 304 00:18:34,400 --> 00:18:38,760 Speaker 8: and informed consent. The physicians have looked in how can 305 00:18:38,800 --> 00:18:41,520 Speaker 8: you do this? How can you look into the eyes 306 00:18:41,560 --> 00:18:45,200 Speaker 8: of a pregnant woman and tell her that this experimental 307 00:18:45,280 --> 00:18:52,200 Speaker 8: product is safe? How can you do that as a physician? No, anyone, 308 00:18:52,359 --> 00:18:55,200 Speaker 8: any physician that has done that should be in jail. 309 00:18:58,400 --> 00:19:04,800 Speaker 1: That's exactly right, not an exaggeration. This is why RFK Jr. 310 00:19:06,000 --> 00:19:10,919 Speaker 1: Made the statement that nothing is going to be off limits. 311 00:19:10,960 --> 00:19:13,680 Speaker 1: We're going to find out what happened, and then from 312 00:19:13,760 --> 00:19:15,800 Speaker 1: there we're going to punish LUs. 313 00:19:15,920 --> 00:19:21,120 Speaker 9: Thursday, President Trump signed an executive order to establish the 314 00:19:21,160 --> 00:19:26,199 Speaker 9: MAJA Commission to study what has caused the precipitous decline 315 00:19:26,800 --> 00:19:31,199 Speaker 9: in American health over the past two generations. So we 316 00:19:31,240 --> 00:19:35,760 Speaker 9: will convene representatives of all viewpoints to study the causes 317 00:19:35,800 --> 00:19:39,520 Speaker 9: for the drastic rise in chronic disease. Some of the 318 00:19:39,560 --> 00:19:45,400 Speaker 9: possible factors we will investigate were formerly taboom or insufficiently 319 00:19:45,440 --> 00:19:54,560 Speaker 9: scrutinize a childhood vaccine schedule, electromagnetic radiation, gliphosate, other pesticides, 320 00:19:55,560 --> 00:20:07,439 Speaker 9: ultra processed foods, artificial food analysis, and other psychiatric drugs, bfas, pfoas, microplastics. 321 00:20:07,480 --> 00:20:11,560 Speaker 9: Nothing is going to be off limits. Whatever belief her 322 00:20:11,600 --> 00:20:15,480 Speaker 9: suspicion I have expressed in the past, I'm willing to 323 00:20:15,480 --> 00:20:20,320 Speaker 9: subject them all to the scrutiny of unbiased science. 324 00:20:21,680 --> 00:20:25,080 Speaker 1: That is going to be our template. Unbiased science. 325 00:20:25,760 --> 00:20:28,640 Speaker 9: That's something that will make us all proud of this 326 00:20:28,800 --> 00:20:34,280 Speaker 9: agency and of our role in restoring American health. Let's 327 00:20:34,280 --> 00:20:38,879 Speaker 9: commission research that will satisfy all the stakeholders once and 328 00:20:38,920 --> 00:20:41,840 Speaker 9: for all. Let's use protocols that we all agree on 329 00:20:41,960 --> 00:20:47,480 Speaker 9: in advance and not alter the outcomes of studies and 330 00:20:47,600 --> 00:20:52,240 Speaker 9: they're halfway through and that they look inconvenient. Let's all 331 00:20:52,760 --> 00:20:58,120 Speaker 9: depoliticize these issues and re establish a common ground or 332 00:20:58,160 --> 00:21:03,600 Speaker 9: action and renew the search for existential truth with no 333 00:21:03,720 --> 00:21:06,720 Speaker 9: political impediments and no preconceptions. 334 00:21:07,400 --> 00:21:09,879 Speaker 1: The older I get, the more I have come to learn, 335 00:21:10,000 --> 00:21:11,960 Speaker 1: I guess this is what they mean by wisdom. I'm 336 00:21:12,000 --> 00:21:13,960 Speaker 1: not saying I'm wise, but as you get older, you 337 00:21:14,040 --> 00:21:16,600 Speaker 1: learn things, You see things that you didn't believe. You know, 338 00:21:16,600 --> 00:21:19,320 Speaker 1: if I tell my kids to drive carefully it's wet outside, 339 00:21:19,359 --> 00:21:23,080 Speaker 1: they're like, oh, Dad, it's well. I had a buddy 340 00:21:23,080 --> 00:21:25,480 Speaker 1: it was wet outside and he slammed into a deer 341 00:21:25,480 --> 00:21:26,119 Speaker 1: and it killed him. 342 00:21:26,160 --> 00:21:26,400 Speaker 7: Nah. 343 00:21:26,440 --> 00:21:29,160 Speaker 1: You always got somebody who died that you knew. Well, yeah, 344 00:21:29,200 --> 00:21:31,680 Speaker 1: and after that you think about things a little differently 345 00:21:31,760 --> 00:21:36,639 Speaker 1: because I'm not I'm not sixteen, seventeen eighteen anymore. I 346 00:21:36,680 --> 00:21:38,680 Speaker 1: know that people do die over dumb stuff, and I 347 00:21:38,720 --> 00:21:42,280 Speaker 1: don't want you to die over dumb stuff. Well, the 348 00:21:42,640 --> 00:21:45,199 Speaker 1: older I get, the more I come to the conclusion 349 00:21:45,240 --> 00:21:47,800 Speaker 1: that the only people who make a difference are not 350 00:21:47,880 --> 00:21:50,879 Speaker 1: going to be popular. They're not going to be padded 351 00:21:50,920 --> 00:21:54,640 Speaker 1: on the back. The whistleblower is going to be threatened 352 00:21:55,080 --> 00:21:57,639 Speaker 1: in any case, they're going to be defeated. To do 353 00:21:57,720 --> 00:22:00,720 Speaker 1: the right thing is going to bear across, going to 354 00:22:00,960 --> 00:22:04,680 Speaker 1: make you suffer, but you do it because it's the 355 00:22:04,760 --> 00:22:09,000 Speaker 1: right thing. And that's why I've come to appreciate and 356 00:22:09,040 --> 00:22:13,280 Speaker 1: admire people who are fearless. When people tell me, hey, 357 00:22:13,280 --> 00:22:15,760 Speaker 1: thanks for what you do. You say what I can't 358 00:22:15,800 --> 00:22:19,800 Speaker 1: bring myself to say. Why why can't you say it? 359 00:22:19,960 --> 00:22:26,600 Speaker 1: Also here was RFK Junior at his confirmation hearing. He 360 00:22:26,680 --> 00:22:29,840 Speaker 1: was asked a question by Senator Tom Tillis of North Carolina. 361 00:22:30,240 --> 00:22:32,879 Speaker 1: And this is what they do. They try to marginalize you, folks. 362 00:22:32,880 --> 00:22:36,600 Speaker 1: They try to marginalize you, that you're some conspiracy theorist. 363 00:22:37,240 --> 00:22:38,960 Speaker 5: I got a real quick question for you. Are you 364 00:22:39,000 --> 00:22:45,440 Speaker 5: a conspiracy theorist? That is a pejorative senator that's applied 365 00:22:45,480 --> 00:22:51,040 Speaker 5: to me mainly to keep me from asking difficult questions 366 00:22:51,200 --> 00:22:55,800 Speaker 5: a powerful interest. I was told that I was a 367 00:22:55,840 --> 00:23:00,560 Speaker 5: conspiracy theorist. That label is applied to me because I 368 00:23:00,600 --> 00:23:05,440 Speaker 5: said that the vaccines, the COVID vaccine didn't prevent transmission 369 00:23:05,800 --> 00:23:09,200 Speaker 5: and it wouldn't prevent infection when the government was telling 370 00:23:09,280 --> 00:23:13,160 Speaker 5: people Americans that it would. I was saying that because 371 00:23:13,200 --> 00:23:15,199 Speaker 5: I was looking at the monkey studies. In May of 372 00:23:15,240 --> 00:23:19,160 Speaker 5: twenty twenty, I was called a conspiray. Now everybody admits it. 373 00:23:20,000 --> 00:23:22,640 Speaker 9: I was called a conspiracy theorist because I said red 374 00:23:22,720 --> 00:23:27,359 Speaker 9: dye caused cancer, and now FDA has acknowledged that and 375 00:23:27,440 --> 00:23:31,119 Speaker 9: banned it. I was called a conspiracy theorist because I 376 00:23:31,160 --> 00:23:36,560 Speaker 9: said floor I lowered IQ. Last week, AMA published a 377 00:23:36,560 --> 00:23:39,879 Speaker 9: matter of view of eighty seven studies saying that there's 378 00:23:39,920 --> 00:23:43,119 Speaker 9: a direct inverse correlation between IQ loss. 379 00:23:43,200 --> 00:23:45,080 Speaker 5: All Right, so I'm going to assume I can go 380 00:23:45,200 --> 00:23:47,359 Speaker 5: on for about a week. Is there any one of 381 00:23:47,400 --> 00:23:49,359 Speaker 5: them that you can say you got me that really 382 00:23:49,440 --> 00:23:50,680 Speaker 5: was a conspiracy theory? 383 00:23:50,800 --> 00:23:52,560 Speaker 2: Or are you in a possession? 384 00:23:52,720 --> 00:23:57,000 Speaker 1: You know, folks, it's kind of like the old Winston 385 00:23:57,080 --> 00:23:59,440 Speaker 1: Churchill line you have enemies. Good. It means that at 386 00:23:59,440 --> 00:24:04,280 Speaker 1: some point you stood up for something. If you're not 387 00:24:04,920 --> 00:24:12,240 Speaker 1: ruffling any feathers, if nobody resents what you say, then 388 00:24:12,240 --> 00:24:15,399 Speaker 1: you're not in any way threatening the establishment. You're not 389 00:24:15,480 --> 00:24:20,280 Speaker 1: in any way threatening the powers that be. Now why 390 00:24:20,400 --> 00:24:23,399 Speaker 1: is that? Because you see what's wrong in this country? 391 00:24:24,480 --> 00:24:26,080 Speaker 1: This is okay for people to be mad at you. 392 00:24:26,320 --> 00:24:28,479 Speaker 1: That's validation that you're over the target. 393 00:24:29,880 --> 00:24:33,119 Speaker 2: Some don't want to hear it. You'll just go ahead 394 00:24:33,160 --> 00:24:33,720 Speaker 2: and say it. 395 00:24:34,280 --> 00:24:39,760 Speaker 1: Sorry, Michael Barry show, let me cut in, because there's 396 00:24:39,880 --> 00:24:43,600 Speaker 1: two bits of audio I want to get to. Journalist 397 00:24:43,760 --> 00:24:47,960 Speaker 1: and University of Austin professor Michael Schellenberger told Senator Josh 398 00:24:47,960 --> 00:24:52,840 Speaker 1: Hawley that a whistleblower claims that CIA agents were paid 399 00:24:53,040 --> 00:24:57,680 Speaker 1: to change their assessment of the origins of COVID. 400 00:24:57,840 --> 00:25:03,520 Speaker 10: This is criminal, this is scary intelligence, dangerously compromised. Warrant 401 00:25:03,600 --> 00:25:05,960 Speaker 10: CIA and FBI whistleblowers. You're not the only one to 402 00:25:06,000 --> 00:25:08,919 Speaker 10: report this, of course, but I was reading your report 403 00:25:08,960 --> 00:25:11,159 Speaker 10: on it this morning. This is something that you have 404 00:25:11,359 --> 00:25:14,919 Speaker 10: been warning about for quite some time, and the allegations 405 00:25:15,680 --> 00:25:18,879 Speaker 10: stem from a whistleblower who has come forward to the House, 406 00:25:18,920 --> 00:25:23,280 Speaker 10: a whistleblower from the Central Intelligence Agency. I have the letter, 407 00:25:23,400 --> 00:25:26,240 Speaker 10: the relevant letter here from the House Oversight Committee. The 408 00:25:26,240 --> 00:25:32,199 Speaker 10: whistleblower alleges that a CIA team was paid to change 409 00:25:32,240 --> 00:25:35,080 Speaker 10: its assessment of the origins of COVID nineteen. Do I 410 00:25:35,119 --> 00:25:37,919 Speaker 10: have that broadly correct set your understanding of the report. 411 00:25:39,240 --> 00:25:44,160 Speaker 10: This is obviously a bombshell report, deeply, deeply troubling. I'm 412 00:25:44,160 --> 00:25:46,080 Speaker 10: glad that the House is going to look into it. 413 00:25:46,200 --> 00:25:48,679 Speaker 10: We should look into it. What caught my attention is 414 00:25:48,720 --> 00:25:52,679 Speaker 10: you point out in your article on this that the 415 00:25:52,720 --> 00:25:58,199 Speaker 10: government has deliberately violated the COVID Origins Act, which this 416 00:25:58,280 --> 00:26:02,440 Speaker 10: body passed unanimously, the House pass the President signed into law, 417 00:26:02,520 --> 00:26:04,000 Speaker 10: and maybe he wasn't so happy about. 418 00:26:03,760 --> 00:26:05,120 Speaker 1: Signing it into law that he did. 419 00:26:05,240 --> 00:26:07,080 Speaker 10: It is the law of the land, and which required 420 00:26:07,080 --> 00:26:10,159 Speaker 10: that all of the government's intelligence on the origins of 421 00:26:10,200 --> 00:26:14,600 Speaker 10: COVID being made public. Instead, what the administration did was 422 00:26:15,040 --> 00:26:19,040 Speaker 10: offer up a summary, which they then in turn heavily redacted. 423 00:26:19,600 --> 00:26:23,840 Speaker 10: And you point out that, in addition, the government refused 424 00:26:23,840 --> 00:26:27,160 Speaker 10: to the administration refused to report the names of scientists 425 00:26:27,160 --> 00:26:30,800 Speaker 10: who fell ill at the Wuvon Institution Institute of Virology 426 00:26:30,840 --> 00:26:33,040 Speaker 10: in twenty nineteen, despite the fact they know the names. 427 00:26:33,080 --> 00:26:35,959 Speaker 10: The intelligence community knows the names. Now, you're absolutely right 428 00:26:36,000 --> 00:26:37,800 Speaker 10: to say this is a violation of the COVID Origins Act, 429 00:26:37,800 --> 00:26:39,000 Speaker 10: and I would know because I wrote it. 430 00:26:39,880 --> 00:26:41,560 Speaker 1: So I'm not very happy. 431 00:26:41,400 --> 00:26:44,760 Speaker 10: About the fact that this administration continues to flaunt, flout, 432 00:26:44,880 --> 00:26:50,200 Speaker 10: completely ignore public law passed again unanimously by the United 433 00:26:50,240 --> 00:26:52,400 Speaker 10: States Senate. For what end, I can't tell. I can't 434 00:26:52,400 --> 00:26:54,320 Speaker 10: figure out why in the world. I don't know what 435 00:26:54,320 --> 00:26:56,280 Speaker 10: partisan gain there is to it. Why in the world 436 00:26:56,280 --> 00:26:59,240 Speaker 10: they want to lie to the American people. You conclude 437 00:26:59,240 --> 00:27:02,280 Speaker 10: your article by saying the government has become extremely comfortable 438 00:27:02,320 --> 00:27:05,040 Speaker 10: with lying to us. Just explain what you mean by that. 439 00:27:05,240 --> 00:27:07,200 Speaker 10: And tell us why you think this is so significant. 440 00:27:07,400 --> 00:27:09,560 Speaker 11: Well, sure, and just on the very specific point, if 441 00:27:09,600 --> 00:27:13,400 Speaker 11: we were the first to identify the three people that 442 00:27:14,200 --> 00:27:17,080 Speaker 11: contracted the coronavirus in China, they were the people working 443 00:27:17,080 --> 00:27:20,400 Speaker 11: on gain and function research in the Muhaian student virology. 444 00:27:20,800 --> 00:27:23,600 Speaker 11: The Wall Street Journal confirmed our reporting two weeks later, 445 00:27:24,000 --> 00:27:25,840 Speaker 11: and then I think it was one week after that 446 00:27:25,920 --> 00:27:28,159 Speaker 11: or a few days after that, the ODE and I 447 00:27:28,240 --> 00:27:31,080 Speaker 11: report came out and it did not reveal this information. 448 00:27:31,359 --> 00:27:33,919 Speaker 11: And we had multiple sources the Wall Street Journal. We 449 00:27:33,920 --> 00:27:35,639 Speaker 11: have no idea if the Wall Street Journal sources were 450 00:27:35,640 --> 00:27:39,280 Speaker 11: the same. But I think we're clearly seeing a lot 451 00:27:39,320 --> 00:27:44,000 Speaker 11: of abuses of power occurring in multiple executive agencies. So 452 00:27:44,040 --> 00:27:46,639 Speaker 11: we've seen it with the FBI. One of the things 453 00:27:46,680 --> 00:27:49,400 Speaker 11: that we noted yesterday was that we saw perverse incentives 454 00:27:49,400 --> 00:27:53,320 Speaker 11: in the FBI to go after so called domestic violent extremism, 455 00:27:53,720 --> 00:27:57,159 Speaker 11: pulling an agent off of things like child exploitation onto 456 00:27:57,200 --> 00:28:00,760 Speaker 11: really hyping a set of cases that particularly appeared to 457 00:28:00,760 --> 00:28:04,120 Speaker 11: be aimed at spreading disinformation around the idea that there 458 00:28:04,240 --> 00:28:08,680 Speaker 11: is a significant increase of domestic extremism when we don't 459 00:28:08,720 --> 00:28:11,320 Speaker 11: think that the evidence shows that. And now we see 460 00:28:11,320 --> 00:28:14,080 Speaker 11: this report that came out that suggested there's an FBI 461 00:28:14,080 --> 00:28:17,159 Speaker 11: whistleblower who says that six of the cent An analysts 462 00:28:17,640 --> 00:28:19,840 Speaker 11: had said it was a laboratory origin and then they 463 00:28:19,840 --> 00:28:22,960 Speaker 11: had reversed their position in some exchange for some sort 464 00:28:22,960 --> 00:28:24,560 Speaker 11: of a salary bone. It's just some sort of a 465 00:28:24,600 --> 00:28:27,560 Speaker 11: financial incentive. So and we've been done, you know, so 466 00:28:27,600 --> 00:28:29,920 Speaker 11: we keep documenting it. We just keep finding agencies and 467 00:28:29,960 --> 00:28:35,520 Speaker 11: agencies DHS involved in trying to create a disinformation governance board. 468 00:28:36,240 --> 00:28:38,400 Speaker 11: I keep you know, the censorship industrial complex. We just 469 00:28:38,440 --> 00:28:41,000 Speaker 11: keep finding new parts of it. So in the research 470 00:28:41,040 --> 00:28:45,200 Speaker 11: for this testimony, we discovered this deep trust alliance that had, 471 00:28:45,720 --> 00:28:48,200 Speaker 11: you know, what appears to be ties to the security 472 00:28:48,200 --> 00:28:51,160 Speaker 11: and intelligence agencies of the United States government. Appears to 473 00:28:51,200 --> 00:28:53,640 Speaker 11: be trying to set itself up, although it's now kind 474 00:28:53,640 --> 00:28:56,040 Speaker 11: of ghosted after twenty twenty one, but appeared in trying 475 00:28:56,080 --> 00:28:59,640 Speaker 11: to set up self up to decide what is reality 476 00:28:59,680 --> 00:29:02,240 Speaker 11: and what are fakes for people. And I think it 477 00:29:02,280 --> 00:29:04,400 Speaker 11: should have a chilling effect. And that's not how we 478 00:29:04,440 --> 00:29:07,680 Speaker 11: do free speech in America. We don't have government agencies, 479 00:29:08,200 --> 00:29:12,880 Speaker 11: we don't have cutouts or front groups that appear to 480 00:29:12,880 --> 00:29:16,080 Speaker 11: have support from those agencies telling the American people what's true, 481 00:29:16,080 --> 00:29:19,000 Speaker 11: what's false, or telling social media companies behind the scenes 482 00:29:19,200 --> 00:29:20,360 Speaker 11: what they should be censoring. 483 00:29:20,600 --> 00:29:24,720 Speaker 1: And then the follow up where Michael Schellenberger, who's done 484 00:29:24,720 --> 00:29:27,560 Speaker 1: amazing job, he's still talking to Senator Josh Hawley from 485 00:29:27,640 --> 00:29:32,640 Speaker 1: Republican from Missouri. He says that the Biden administration had 486 00:29:32,680 --> 00:29:36,800 Speaker 1: been meeting with social media companies for years and compelling 487 00:29:36,840 --> 00:29:40,760 Speaker 1: them to comply with what the Biden administration said. So 488 00:29:40,800 --> 00:29:44,120 Speaker 1: that Facebook and before that Twitter, before Elon. What they're 489 00:29:44,120 --> 00:29:47,640 Speaker 1: doing here is they're controlling our ability to share our 490 00:29:47,760 --> 00:29:53,120 Speaker 1: stories by silencing us. That is the ultimate power grab. 491 00:29:54,640 --> 00:29:57,720 Speaker 10: We now know thanks to the case Missouri versus Biden, 492 00:29:57,760 --> 00:30:01,800 Speaker 10: that that's exactly what this administra from the White House 493 00:30:02,000 --> 00:30:06,520 Speaker 10: to the FBI, to the State Department, to the CDC 494 00:30:07,080 --> 00:30:10,840 Speaker 10: to SISA, have all been meeting with the social media 495 00:30:10,840 --> 00:30:14,960 Speaker 10: companies for years now, giving them direct commands about what 496 00:30:15,120 --> 00:30:18,880 Speaker 10: to censor and take down, naming specific accounts and specific 497 00:30:18,960 --> 00:30:23,280 Speaker 10: speech they want suppressed, threatening the social media platforms if 498 00:30:23,280 --> 00:30:28,160 Speaker 10: they don't do it. And remarkably, I'm quoting the court here, 499 00:30:28,200 --> 00:30:30,440 Speaker 10: the Fifth Circuit Court of Appeals, and there's a huge 500 00:30:30,520 --> 00:30:32,920 Speaker 10: evidentiary record. Everybody, go, don't take my word for it, 501 00:30:32,960 --> 00:30:35,360 Speaker 10: go read the record. It's all on the record from 502 00:30:35,360 --> 00:30:37,880 Speaker 10: the District Court. What the Fifth Circuit seid is remarkably, 503 00:30:37,880 --> 00:30:42,240 Speaker 10: the social media platforms all complied, all of them. They 504 00:30:42,360 --> 00:30:45,479 Speaker 10: all agreed to be tools of the United States government 505 00:30:45,560 --> 00:30:47,840 Speaker 10: and to censor what they were ordered to censor, to 506 00:30:47,880 --> 00:30:51,360 Speaker 10: suppress the speech they were ordered to suppress. You're a journalist, 507 00:30:51,800 --> 00:30:53,680 Speaker 10: tell us about the threat to the First Amendment. And 508 00:30:53,680 --> 00:30:54,920 Speaker 10: by the way, just for the record, I think it's 509 00:30:54,920 --> 00:30:58,000 Speaker 10: important to establish the Federal Court of Appeals said directly, 510 00:30:58,680 --> 00:31:02,280 Speaker 10: in no uncertain terms, this was a clear violation of 511 00:31:02,280 --> 00:31:05,520 Speaker 10: the United States Constitution. The First Amendment does not allow 512 00:31:05,560 --> 00:31:09,520 Speaker 10: the federal government to use private companies to censor what 513 00:31:09,600 --> 00:31:11,320 Speaker 10: they wouldn't be able to do it themselves. And that's 514 00:31:11,400 --> 00:31:15,680 Speaker 10: exactly what this administration has done. Tell us, as a journalist, 515 00:31:15,680 --> 00:31:18,800 Speaker 10: the threat to free speech, to freedom of the press 516 00:31:18,880 --> 00:31:22,240 Speaker 10: from this kind of collusion between a very powerful government 517 00:31:22,320 --> 00:31:24,959 Speaker 10: trying to hijack every media company it can get its 518 00:31:25,000 --> 00:31:25,400 Speaker 10: hands on. 519 00:31:25,800 --> 00:31:27,160 Speaker 11: Well, sure, I mean, if you just start on the 520 00:31:27,200 --> 00:31:31,080 Speaker 11: issue of the COVID vaccine, for example, public interest advocates 521 00:31:31,120 --> 00:31:33,960 Speaker 11: spent a very long time trying to get the pharmaceutic 522 00:31:34,080 --> 00:31:37,280 Speaker 11: requiring the pharmaceutical companies to list the side effects of 523 00:31:37,360 --> 00:31:40,400 Speaker 11: their drugs in their advertisements. Here we saw a situation 524 00:31:40,560 --> 00:31:43,920 Speaker 11: where people were sharing information about the side effects of 525 00:31:43,960 --> 00:31:48,719 Speaker 11: the vaccine on Facebook and other social media platforms, and 526 00:31:48,840 --> 00:31:52,680 Speaker 11: the White House demanding that it'd be taken down. Facebook complying, 527 00:31:53,120 --> 00:31:57,120 Speaker 11: acknowledging that it was often true information. We also saw 528 00:31:57,200 --> 00:32:02,080 Speaker 11: that Facebook's own internal research showed that actually increases vaccine 529 00:32:02,120 --> 00:32:05,920 Speaker 11: hesitancy when you censor those stories that people are if 530 00:32:05,920 --> 00:32:07,560 Speaker 11: they want to be comfortable with a new drug, they 531 00:32:07,600 --> 00:32:07,880 Speaker 11: need to. 532 00:32:07,800 --> 00:32:08,880 Speaker 1: Be able to talk it out a bit. 533 00:32:09,080 --> 00:32:11,760 Speaker 11: So Facebook told the White House that actually would backfire. 534 00:32:11,800 --> 00:32:16,320 Speaker 11: The White House insisted Facebook caved in because, according to 535 00:32:16,720 --> 00:32:20,160 Speaker 11: the Facebook executive Nick Klegg, he said, well, We've got 536 00:32:20,240 --> 00:32:21,960 Speaker 11: this other business that we need to do with the 537 00:32:22,000 --> 00:32:25,040 Speaker 11: White House, which is the data flows, meaning we need 538 00:32:25,040 --> 00:32:27,480 Speaker 11: the White House to help us negotiate with the Europeans 539 00:32:27,840 --> 00:32:30,239 Speaker 11: to bring our data back to the United States. So 540 00:32:30,320 --> 00:32:32,080 Speaker 11: I think the Fitth Circuit Court did a great job 541 00:32:32,120 --> 00:32:35,320 Speaker 11: in identifying the clearly coercive measures, but I don't think 542 00:32:35,320 --> 00:32:37,640 Speaker 11: it went far enough to because the First Amendment it 543 00:32:37,680 --> 00:32:40,760 Speaker 11: prevents the government from abridging or infringing on free speech, 544 00:32:41,480 --> 00:32:44,720 Speaker 11: offering an incentive to social media platforms, such as helping 545 00:32:44,760 --> 00:32:48,600 Speaker 11: them with their dispute with Europe in exchange for censoring 546 00:32:49,080 --> 00:32:51,520 Speaker 11: often true content, though of course the First Amendment also 547 00:32:51,600 --> 00:32:52,880 Speaker 11: protects false content. 548 00:32:53,920 --> 00:32:55,720 Speaker 1: I think it's a very chilling effect. I think it's 549 00:32:55,800 --> 00:32:56,400 Speaker 1: very disturbing. 550 00:32:56,440 --> 00:33:02,240 Speaker 11: Anybody that cares about holding powerful entity to account should 551 00:33:02,240 --> 00:33:06,080 Speaker 11: be disturbed by what we saw take place on Facebook, 552 00:33:06,200 --> 00:33:10,560 Speaker 11: on Twitter, and you know, I think we just have 553 00:33:10,560 --> 00:33:13,000 Speaker 11: to remind ourselves. And what disturbs me when I hear 554 00:33:13,080 --> 00:33:15,720 Speaker 11: sort of the conversation around AI coming into it sort 555 00:33:15,760 --> 00:33:18,240 Speaker 11: of with the beginner of mind, I hear a lot 556 00:33:18,240 --> 00:33:20,800 Speaker 11: of talk about how to protect the public from harm. 557 00:33:21,280 --> 00:33:23,920 Speaker 11: We have to protect the public from harm. What people 558 00:33:23,920 --> 00:33:27,480 Speaker 11: are saying is that we need to censor speech, sensor 559 00:33:27,560 --> 00:33:30,760 Speaker 11: certain voices, censor disfavorite voices because. 560 00:33:30,640 --> 00:33:32,600 Speaker 1: Of this idea that will cause real ball of harm. 561 00:33:32,720 --> 00:33:35,600 Speaker 1: Censorship is control, it's silencing your opposition.