1 00:00:02,200 --> 00:00:05,040 Speaker 1: Hi, America. This is Peter Schweitzer. We are filling in 2 00:00:05,080 --> 00:00:08,760 Speaker 1: for Sean Hannity. I'm here with Eric Eggers. Welcome. We 3 00:00:08,800 --> 00:00:11,800 Speaker 1: want you to join the conversation with us. You can 4 00:00:11,840 --> 00:00:14,040 Speaker 1: call in at one eight hundred and nine four one 5 00:00:14,280 --> 00:00:16,760 Speaker 1: seven three two six. That's twenty eight hundred and nine 6 00:00:16,880 --> 00:00:20,480 Speaker 1: four one Sean. We'd love to have you joined the conversation. 7 00:00:20,920 --> 00:00:24,200 Speaker 1: Eric Eggers, you're sitting next to me. Glad you're here. 8 00:00:24,320 --> 00:00:27,240 Speaker 1: And Mary Christmas? Are you ready for Christmas? Can you 9 00:00:27,280 --> 00:00:30,560 Speaker 1: say Mary Christmas in Bidens, America in twenty twenty two, Yes, 10 00:00:30,640 --> 00:00:33,159 Speaker 1: Marry Christmas, Peter Schweizer. Peter and I co host the 11 00:00:33,280 --> 00:00:36,680 Speaker 1: Drill Down podcast that where we drill down on information 12 00:00:36,720 --> 00:00:38,760 Speaker 1: you won't get anywhere else, and we're excited to bring 13 00:00:38,920 --> 00:00:42,720 Speaker 1: some of that information to Sean's audience today. Am I 14 00:00:42,960 --> 00:00:46,280 Speaker 1: excited for Christmas? Peter? I think you've done a podcast 15 00:00:46,320 --> 00:00:48,600 Speaker 1: with me long enough to know I'm dead inside. Okay, 16 00:00:48,680 --> 00:00:52,840 Speaker 1: So very little gets me excited. Holiday cheers for someone else. 17 00:00:52,880 --> 00:00:55,400 Speaker 1: That's our Egger's family motto. So it's ball humbug is 18 00:00:55,480 --> 00:00:58,040 Speaker 1: essentially what you're telling America. We're in a couple of 19 00:00:58,080 --> 00:01:00,440 Speaker 1: minutes on this show and it's already ba hum bug. No, 20 00:01:00,520 --> 00:01:02,440 Speaker 1: I'm excited for Christmas, of course. I think that's more 21 00:01:02,440 --> 00:01:05,199 Speaker 1: of a Santa question than anything else, especially my children 22 00:01:05,240 --> 00:01:07,000 Speaker 1: are listening. No, but it is. I think it's an 23 00:01:07,040 --> 00:01:10,280 Speaker 1: interesting point that we raised in our pre show discussion, 24 00:01:10,360 --> 00:01:12,560 Speaker 1: because the holidays are a time of joy, a time 25 00:01:12,600 --> 00:01:15,160 Speaker 1: of coming together, in a time of optimism. But I 26 00:01:15,160 --> 00:01:19,039 Speaker 1: think many Americans will have a hard time channeling some 27 00:01:19,120 --> 00:01:22,360 Speaker 1: of those emotions because quite honestly, there's things in the 28 00:01:22,440 --> 00:01:25,319 Speaker 1: news and things in their lives that suggest that maybe 29 00:01:25,319 --> 00:01:28,240 Speaker 1: things aren't that onto that great. Yeah, that's right. And 30 00:01:28,280 --> 00:01:30,039 Speaker 1: you know, this is a time of faith as well. 31 00:01:30,080 --> 00:01:33,280 Speaker 1: I mean it's Christmas, it's Hanaka. People are thinking about God, 32 00:01:33,360 --> 00:01:38,000 Speaker 1: their relationship with God, where their faith resides. One place 33 00:01:38,040 --> 00:01:40,679 Speaker 1: where faith is not very strong in these days is 34 00:01:40,760 --> 00:01:43,960 Speaker 1: faith in our government. And I'm not saying that that's 35 00:01:44,000 --> 00:01:46,200 Speaker 1: actually a bad thing. I think that's quite good. But 36 00:01:46,400 --> 00:01:51,400 Speaker 1: people simply aren't trusting our government institutions anymore. And this 37 00:01:51,480 --> 00:01:54,680 Speaker 1: is precisely the time that government wants more control of 38 00:01:54,680 --> 00:01:58,320 Speaker 1: our lives. There's actually a long list of basic failures 39 00:01:58,360 --> 00:02:00,640 Speaker 1: we could talk about, right. We could talk about crime, 40 00:02:00,760 --> 00:02:03,760 Speaker 1: for example. I mean, that's a basic function of government. 41 00:02:03,800 --> 00:02:06,520 Speaker 1: They're supposed to keep us safe. Not doing such a 42 00:02:06,520 --> 00:02:09,320 Speaker 1: great job of that. Oh it's crime up in places. 43 00:02:09,480 --> 00:02:12,160 Speaker 1: Know were of course broadcasting to you live from the 44 00:02:12,200 --> 00:02:14,600 Speaker 1: Free State of Florida, and I was actually talking to 45 00:02:14,639 --> 00:02:16,520 Speaker 1: somebody in New York not that long ago, and he's 46 00:02:16,520 --> 00:02:18,799 Speaker 1: asking how the weather was. I was like, well, the 47 00:02:18,800 --> 00:02:21,280 Speaker 1: weather as opposed to New York in Florida is terrific. 48 00:02:21,440 --> 00:02:22,799 Speaker 1: But the good news if you live in New York 49 00:02:22,880 --> 00:02:25,360 Speaker 1: is the crime is also terrible. So the crime is 50 00:02:25,400 --> 00:02:27,600 Speaker 1: not good in New York, but it is I think, 51 00:02:27,639 --> 00:02:29,639 Speaker 1: okay in Florida. But you're right, the government's I think, 52 00:02:29,680 --> 00:02:33,600 Speaker 1: failing in almost every respect in terms of basic functions. 53 00:02:33,600 --> 00:02:35,600 Speaker 1: Like what's one of the functions of a federal government. 54 00:02:35,600 --> 00:02:38,920 Speaker 1: It's supposed to ensure national sovereignty. But we now see 55 00:02:38,919 --> 00:02:42,000 Speaker 1: in the Wall Street Journal today that there's a pandemic 56 00:02:42,040 --> 00:02:45,160 Speaker 1: era Rule Title forty two. It's going to expire Wednesday. 57 00:02:45,200 --> 00:02:47,239 Speaker 1: And what's going to happen when that expires, Peter, We're 58 00:02:47,240 --> 00:02:49,480 Speaker 1: going to see a flood. We already have a flood. 59 00:02:49,480 --> 00:02:52,880 Speaker 1: It's going to be a torrance of people coming across 60 00:02:52,919 --> 00:02:55,040 Speaker 1: the border. And as you said, I mean, this is 61 00:02:55,080 --> 00:02:57,919 Speaker 1: again a basic function of government. We're not asking them 62 00:02:57,919 --> 00:03:02,320 Speaker 1: to do something highly complex, highly difficult, something that needs 63 00:03:02,320 --> 00:03:05,000 Speaker 1: to be fine tuned. It secure the border, and they're 64 00:03:05,040 --> 00:03:07,880 Speaker 1: failing in that area as well. Yeah, to be clear, 65 00:03:07,919 --> 00:03:09,800 Speaker 1: the border has never been secure. But what Title forty 66 00:03:09,840 --> 00:03:12,400 Speaker 1: two allowed us to do is expel people back to 67 00:03:12,440 --> 00:03:15,679 Speaker 1: Mexico quickly because of the name of global health and 68 00:03:15,760 --> 00:03:18,200 Speaker 1: maybe the one thing of global health that actually might 69 00:03:18,240 --> 00:03:20,400 Speaker 1: have improved in the country, but that's going to expire us. 70 00:03:20,400 --> 00:03:24,400 Speaker 1: So people will be expelled far less frequently. But that's 71 00:03:24,400 --> 00:03:26,960 Speaker 1: one world federal government. Another one is to have a 72 00:03:27,040 --> 00:03:30,519 Speaker 1: strong defense and protect us from foreign threats. And so 73 00:03:30,560 --> 00:03:34,640 Speaker 1: that's why when we were forced to reluctantly give back 74 00:03:34,680 --> 00:03:38,560 Speaker 1: to Russia, one of the world's most notorious arms dealers, 75 00:03:38,600 --> 00:03:41,119 Speaker 1: at least we got back somebody in return that will 76 00:03:41,120 --> 00:03:43,840 Speaker 1: help ensure our national security. Right, that would be the 77 00:03:43,960 --> 00:03:48,200 Speaker 1: w NBA. Correct, that super secret government agency. It should 78 00:03:48,240 --> 00:03:51,360 Speaker 1: be a government agency, right, I mean so many acronyms, right, 79 00:03:51,560 --> 00:03:53,200 Speaker 1: I mean, to be honest, as many people are paying 80 00:03:53,200 --> 00:03:55,200 Speaker 1: attention to the government agencies are paying to the w NBA. 81 00:03:55,320 --> 00:03:57,360 Speaker 1: So I think that that's accurate. And then I think 82 00:03:57,360 --> 00:03:59,080 Speaker 1: the other thing that the government's supposed to do is 83 00:03:59,200 --> 00:04:02,120 Speaker 1: give hope to the future. And that's actually where we 84 00:04:02,160 --> 00:04:04,280 Speaker 1: wanted to end up with because we saw a story 85 00:04:04,720 --> 00:04:07,640 Speaker 1: in the news that is, I think some bad things 86 00:04:07,640 --> 00:04:10,520 Speaker 1: are coming to schools near you, potentially in the start 87 00:04:10,520 --> 00:04:13,000 Speaker 1: of the new year, right, And it's like that, that's sequel, Like, 88 00:04:13,040 --> 00:04:15,160 Speaker 1: did we really need a Fast and Furious twelve? I 89 00:04:15,160 --> 00:04:17,760 Speaker 1: don't think so, right, but we got one. Do we 90 00:04:17,800 --> 00:04:20,559 Speaker 1: really need a return to mask mandates? But they appear 91 00:04:20,600 --> 00:04:22,599 Speaker 1: to be coming. Yes, that's exactly right. And we're going 92 00:04:22,680 --> 00:04:25,560 Speaker 1: to be actually talking to a couple of experts on 93 00:04:25,600 --> 00:04:28,640 Speaker 1: this at three thirty to talk about COVID, to talk 94 00:04:28,640 --> 00:04:32,200 Speaker 1: about the new mask mandates, which is a very important subject, 95 00:04:32,240 --> 00:04:36,520 Speaker 1: needless to say. And the problem here, Eric is again, 96 00:04:36,960 --> 00:04:39,880 Speaker 1: these are basic functions of government, and they failed us 97 00:04:39,920 --> 00:04:43,800 Speaker 1: at every turn. I ran across this really obscure study 98 00:04:44,400 --> 00:04:47,680 Speaker 1: as it relates to announcement, I should say, as it 99 00:04:47,680 --> 00:04:50,320 Speaker 1: relates to the Federal Reserve and our economy. Again, the 100 00:04:50,360 --> 00:04:53,640 Speaker 1: economy is not in good shape. We've got high inflation, 101 00:04:53,760 --> 00:04:57,200 Speaker 1: we've got supply chain issues. This is just another example 102 00:04:57,200 --> 00:04:59,240 Speaker 1: of how the government has failed us. So this is 103 00:04:59,279 --> 00:05:03,480 Speaker 1: the Federal Reserve Bank of Philadelphia with a revision of 104 00:05:03,520 --> 00:05:06,800 Speaker 1: their statistics. This came out December thirteenth, last week. I 105 00:05:06,839 --> 00:05:09,440 Speaker 1: don't think many people paid attention because we're so used 106 00:05:09,440 --> 00:05:12,560 Speaker 1: to it. And this is a revision of the employment 107 00:05:12,640 --> 00:05:15,719 Speaker 1: numbers that they claimed just as obscured because they didn't 108 00:05:15,760 --> 00:05:17,440 Speaker 1: really want anybody to pay attention to it. If that 109 00:05:17,440 --> 00:05:19,520 Speaker 1: would be correct. I mean, just listen to the statement. 110 00:05:19,880 --> 00:05:23,480 Speaker 1: See how far off our government is in these basic functions. 111 00:05:23,720 --> 00:05:27,120 Speaker 1: It says, in the aggregate, ten thousand, five hundred net 112 00:05:27,120 --> 00:05:30,680 Speaker 1: new jobs were added during this six month period, Mary 113 00:05:30,760 --> 00:05:35,520 Speaker 1: Christmas Martin September, rather than the one point two million 114 00:05:36,279 --> 00:05:39,479 Speaker 1: previously reported. So they were off by a factor of 115 00:05:39,520 --> 00:05:42,400 Speaker 1: a hundred. They're off by a factor of a hundred. 116 00:05:42,480 --> 00:05:44,720 Speaker 1: This is the Federal Reserve and we're supposed to be 117 00:05:44,800 --> 00:05:47,520 Speaker 1: trusting them with economic policy. The list goes on and 118 00:05:47,600 --> 00:05:51,120 Speaker 1: on and on. So this is an enormous problem I 119 00:05:51,160 --> 00:05:53,320 Speaker 1: think in our country, the lack of trust in our 120 00:05:53,360 --> 00:05:57,400 Speaker 1: government institutions, the belief that our government is not doing 121 00:05:57,400 --> 00:05:59,640 Speaker 1: a good job, and at the same time they are 122 00:05:59,720 --> 00:06:04,560 Speaker 1: demanding more control over our lives. And I think this 123 00:06:04,640 --> 00:06:08,120 Speaker 1: is something that leads to a further cycle of distrust. Now, 124 00:06:08,120 --> 00:06:09,760 Speaker 1: I think that's an excellent point, did you make. The 125 00:06:09,800 --> 00:06:13,320 Speaker 1: government's never been less trustworthy and at a time when 126 00:06:13,320 --> 00:06:15,720 Speaker 1: they're attempting to exert the most influence. And I think 127 00:06:15,720 --> 00:06:18,960 Speaker 1: to me, that's why the pending return of mask mandates 128 00:06:19,000 --> 00:06:21,640 Speaker 1: in some schools. Philadelphia has said that for the first 129 00:06:21,680 --> 00:06:23,599 Speaker 1: two weeks after the new year they'll have to have 130 00:06:23,640 --> 00:06:27,320 Speaker 1: mask mandates. In New York has recommended that's happened. Sacramento 131 00:06:27,440 --> 00:06:30,320 Speaker 1: and other California cities are considering it. But I think 132 00:06:30,320 --> 00:06:33,120 Speaker 1: the troubling part of it is that, as you noted, 133 00:06:33,440 --> 00:06:37,080 Speaker 1: like you could excuse it when schools first closed and 134 00:06:37,200 --> 00:06:39,200 Speaker 1: the pandemic first happened, we don't know what's happening. We 135 00:06:39,240 --> 00:06:41,120 Speaker 1: don't know, we're just kind of given our best shot. 136 00:06:41,160 --> 00:06:42,839 Speaker 1: Although you suggest that, I think we did have a 137 00:06:42,839 --> 00:06:45,160 Speaker 1: pandemic playbook and we didn't follow it possible in the 138 00:06:45,240 --> 00:06:47,799 Speaker 1: name of virtue signaling. But as far as like should 139 00:06:47,800 --> 00:06:50,720 Speaker 1: we trust the government, listen to just Anthony Fauci go 140 00:06:50,839 --> 00:06:54,080 Speaker 1: back and forth on how effective mask mandates are. Let's 141 00:06:54,080 --> 00:06:57,320 Speaker 1: say that's your cut three. Isn't it just theater? No? 142 00:06:57,480 --> 00:07:00,480 Speaker 1: It's not vaccine, and you're wearing two masks. Isn't theater? 143 00:07:00,800 --> 00:07:02,679 Speaker 1: Now that's not here we go again with the theater. 144 00:07:03,160 --> 00:07:05,520 Speaker 1: Let's get down to the facts. Let me just state 145 00:07:05,839 --> 00:07:09,320 Speaker 1: for the record that masks are not theater. I am 146 00:07:09,400 --> 00:07:14,920 Speaker 1: now much more comfortable in people seeing me indoors without 147 00:07:14,960 --> 00:07:19,840 Speaker 1: a mask. I mean, before the CDC made the recommendation change, 148 00:07:20,000 --> 00:07:22,400 Speaker 1: I didn't want to look like I was giving mixed signals. 149 00:07:22,520 --> 00:07:25,600 Speaker 1: Now in the United States, people should not be walking 150 00:07:25,600 --> 00:07:30,040 Speaker 1: around with masks. One mask is good, two masks a better. 151 00:07:30,160 --> 00:07:32,600 Speaker 1: A year or two or more from now that during 152 00:07:32,680 --> 00:07:36,760 Speaker 1: certain seasonal periods when you have respiratory borne viruses like 153 00:07:36,800 --> 00:07:41,440 Speaker 1: the flu, people might actually elect to wear masks. One 154 00:07:41,480 --> 00:07:43,760 Speaker 1: mask is good, two masks of better. That's not defended 155 00:07:43,840 --> 00:07:48,760 Speaker 1: from Sesame Street in a dystopian hell Peter. That means 156 00:07:48,840 --> 00:07:53,080 Speaker 1: big Bird is in charge of the CDC. You have 157 00:07:53,160 --> 00:07:55,880 Speaker 1: to wonder, though, how these decisions are being made, because 158 00:07:55,920 --> 00:07:58,960 Speaker 1: Fauci tells us I am science. That's what he said. 159 00:07:59,240 --> 00:08:03,480 Speaker 1: But the science is constantly shifting and changing. And you know, 160 00:08:03,520 --> 00:08:06,560 Speaker 1: as you mentioned, if you look at actually the history 161 00:08:06,880 --> 00:08:09,840 Speaker 1: the federal government's been studying pandemics, there's actually a plan 162 00:08:10,280 --> 00:08:13,640 Speaker 1: the bushop George W. Bush administration started, It was revised 163 00:08:13,680 --> 00:08:16,760 Speaker 1: under Obama and under Trump. In none of those cases 164 00:08:16,800 --> 00:08:21,040 Speaker 1: did they ever call, for example, for massive lockdowns. So 165 00:08:21,080 --> 00:08:24,240 Speaker 1: what's interesting about Fauci is you just have this case 166 00:08:24,280 --> 00:08:27,240 Speaker 1: where these state attorney generals have sued Fauci. He was 167 00:08:27,280 --> 00:08:30,560 Speaker 1: put under oath. He testified they actually asked him where 168 00:08:30,600 --> 00:08:34,320 Speaker 1: did the idea for lockdowns come from? It turns out 169 00:08:34,400 --> 00:08:37,200 Speaker 1: he sent an aid of his, a guy named Cliff Lane, 170 00:08:37,600 --> 00:08:40,480 Speaker 1: to China to figure out what was happening. This is 171 00:08:40,520 --> 00:08:43,200 Speaker 1: in February of twenty twenty. Cliff Lane goes there. According 172 00:08:43,240 --> 00:08:46,400 Speaker 1: to the testimony, the Chinese authorities actually never let this 173 00:08:46,440 --> 00:08:48,520 Speaker 1: guy go to Wuha, and he hung out in Beijing 174 00:08:48,920 --> 00:08:51,880 Speaker 1: with all these Chinese Communist Party officials and they told 175 00:08:51,960 --> 00:08:55,880 Speaker 1: them lockdowns are really good, they work great. And so 176 00:08:55,960 --> 00:08:59,000 Speaker 1: Cliff Lane comes back tells this to Fauci. This is 177 00:08:59,120 --> 00:09:02,560 Speaker 1: essentially the origins of the lockdown policy, which of course 178 00:09:02,640 --> 00:09:05,440 Speaker 1: was ultimately led by California. It was an idea that 179 00:09:05,559 --> 00:09:08,560 Speaker 1: came from the Chinese Communist Party. It had no basis 180 00:09:08,559 --> 00:09:10,840 Speaker 1: in science or fact. They hadn't studied it. And you 181 00:09:10,920 --> 00:09:14,120 Speaker 1: have to wonder with the mask mandates. Fauci was actually 182 00:09:14,160 --> 00:09:17,400 Speaker 1: asked during this testimony, why did you change your opinion 183 00:09:17,400 --> 00:09:20,400 Speaker 1: on masks? What study occurred that led you to go 184 00:09:20,520 --> 00:09:23,640 Speaker 1: from masks or worthless to mask or everything? He said, 185 00:09:23,760 --> 00:09:25,959 Speaker 1: I can't name a study. No, he couldn't name a study. 186 00:09:25,960 --> 00:09:28,199 Speaker 1: And I think that's one of the exact issues why people, 187 00:09:28,240 --> 00:09:30,880 Speaker 1: I think are right to question these new mandates. I mean, 188 00:09:30,880 --> 00:09:33,200 Speaker 1: think of it this way, Peter Schwitzer, you know we're 189 00:09:33,240 --> 00:09:36,360 Speaker 1: doing we're filling in for Sean Handy. We did the 190 00:09:36,360 --> 00:09:38,600 Speaker 1: exact same thing one year ago. One year ago, we 191 00:09:38,640 --> 00:09:40,520 Speaker 1: did the show from New York. This year we're able 192 00:09:40,520 --> 00:09:41,960 Speaker 1: to do it from Florida. But a year ago in 193 00:09:41,960 --> 00:09:44,719 Speaker 1: New York we had to or if you went to 194 00:09:44,840 --> 00:09:47,040 Speaker 1: New York, everyone's wearing mask in the street. In order 195 00:09:47,040 --> 00:09:49,280 Speaker 1: to get into certain buildings or any restaurants, you had 196 00:09:49,280 --> 00:09:51,880 Speaker 1: to show proof of a vaccine. And so those things 197 00:09:51,920 --> 00:09:54,400 Speaker 1: have all just gone away. Yes, And so think about 198 00:09:54,400 --> 00:09:56,160 Speaker 1: the fact that you went from no, no, no, you 199 00:09:56,240 --> 00:09:59,240 Speaker 1: must do this or you're an irresponsible citizen to six 200 00:09:59,280 --> 00:10:03,800 Speaker 1: months later, never mind exactly. And what I remember about 201 00:10:03,800 --> 00:10:06,200 Speaker 1: that trip, by the way, there were certain people that 202 00:10:06,240 --> 00:10:09,400 Speaker 1: will go unnamed. When we were supposed to go into 203 00:10:09,400 --> 00:10:11,760 Speaker 1: the building that said, well, technically you're supposed to show 204 00:10:11,800 --> 00:10:14,240 Speaker 1: proof of vaccine, but we'll figure out a way to 205 00:10:14,440 --> 00:10:17,360 Speaker 1: smuggle you into the Sean Hannity studios. So it was 206 00:10:17,400 --> 00:10:22,800 Speaker 1: a very different America. And it looks like now we 207 00:10:22,840 --> 00:10:25,800 Speaker 1: may be going back. You mentioned the Philadelphia school districts 208 00:10:25,800 --> 00:10:28,320 Speaker 1: are talking about it. There are a lot of private 209 00:10:28,360 --> 00:10:32,840 Speaker 1: companies that are talking about requiring mask mandates. And the 210 00:10:32,920 --> 00:10:35,160 Speaker 1: question is, look, I'm not a medical doctor. We're going 211 00:10:35,200 --> 00:10:37,800 Speaker 1: to have a couple of experts on here at three 212 00:10:38,000 --> 00:10:41,840 Speaker 1: thirty Eastern time to talk about this, but where's the 213 00:10:41,920 --> 00:10:44,600 Speaker 1: evidence that masks even work? Yeah? What we do have 214 00:10:44,679 --> 00:10:47,960 Speaker 1: evidence for, in fact, is that the COVID era lockdown 215 00:10:48,000 --> 00:10:51,880 Speaker 1: policies were a dramatic failure, so much so that they 216 00:10:51,920 --> 00:10:55,800 Speaker 1: not only erased two decades worth of learning gains from 217 00:10:55,840 --> 00:11:00,040 Speaker 1: America's children, but academic experts are actually saying that the 218 00:11:00,040 --> 00:11:06,280 Speaker 1: lockdowns may have permanently derailed a generation's educational and therefore 219 00:11:06,440 --> 00:11:10,440 Speaker 1: economic arc. That's how devastating the COVID policies were. So 220 00:11:10,480 --> 00:11:12,400 Speaker 1: when we talk about not wanting to trust government, it's 221 00:11:12,400 --> 00:11:15,920 Speaker 1: not just hey, skeptical. It's no, no, no, you might 222 00:11:16,000 --> 00:11:18,280 Speaker 1: be ruining the future of this country. We'll tell you 223 00:11:18,320 --> 00:11:21,880 Speaker 1: about that study and what's coming up for America's school 224 00:11:21,920 --> 00:11:24,920 Speaker 1: children and just what's at stake with these mask mandates. 225 00:11:24,920 --> 00:11:26,760 Speaker 1: On the other side of this break, it's Peter Schweizer. 226 00:11:26,840 --> 00:11:29,240 Speaker 1: Erik Egger's in for Sean Handy. We'd love to hear 227 00:11:29,280 --> 00:11:31,480 Speaker 1: from you. Give us a phone call. Eight hundred nine 228 00:11:31,559 --> 00:11:41,880 Speaker 1: four one seven three two six. 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There's 246 00:12:38,520 --> 00:12:40,320 Speaker 1: never been a better time to get out of that 247 00:12:40,400 --> 00:12:42,800 Speaker 1: timeshare than now. Call today you get a free no 248 00:12:42,920 --> 00:12:46,680 Speaker 1: obligation consultation. Eight three three five nine four zero zero 249 00:12:46,720 --> 00:12:49,040 Speaker 1: seven five. That's eight three three five nine four zero 250 00:12:49,160 --> 00:12:51,760 Speaker 1: zero seven five. They're on the web at lone star 251 00:12:51,880 --> 00:12:57,600 Speaker 1: transfer dot com. This is Peter Schweitzer and Eric Edgers 252 00:12:57,679 --> 00:12:59,920 Speaker 1: We are filling in for Sean Hannity on the show 253 00:13:00,040 --> 00:13:03,200 Speaker 1: on Hannity Radio Show, Join the Conversation one eight hundred 254 00:13:03,360 --> 00:13:06,880 Speaker 1: nine four one seven three two six. Now, Eric, you 255 00:13:06,920 --> 00:13:10,720 Speaker 1: were talking about the consequences of the shutdowns and the 256 00:13:10,760 --> 00:13:14,079 Speaker 1: mask mandate, the horrific effects that had on our educational system, 257 00:13:14,600 --> 00:13:17,440 Speaker 1: and I think this highlights a really really important point, 258 00:13:17,480 --> 00:13:19,920 Speaker 1: and that is that there are people making these monumental 259 00:13:19,960 --> 00:13:24,360 Speaker 1: decisions that never actually feel the impact of their failures. 260 00:13:24,840 --> 00:13:27,600 Speaker 1: Tell us about what happened in the sphere of education 261 00:13:27,640 --> 00:13:30,400 Speaker 1: and particularly who was most affected by these lockdowns. So 262 00:13:30,440 --> 00:13:34,520 Speaker 1: every three years, the National Center for Education Statistics releases 263 00:13:34,559 --> 00:13:37,560 Speaker 1: something called the National Assessment of Educational Progress. It's basically 264 00:13:37,559 --> 00:13:40,280 Speaker 1: called the nation's report card. And I think every three 265 00:13:40,400 --> 00:13:44,120 Speaker 1: years they measure academic performance over the previous iteration. And 266 00:13:44,160 --> 00:13:47,480 Speaker 1: since the nineteen seventies it's gone up. As you would think, 267 00:13:47,480 --> 00:13:49,760 Speaker 1: we get better, we get smarter, we get more innovative, 268 00:13:49,800 --> 00:13:52,040 Speaker 1: the learning games build on each other, and actually what 269 00:13:52,040 --> 00:13:54,600 Speaker 1: they call the learning gap, right, or the difference between 270 00:13:54,720 --> 00:13:57,720 Speaker 1: what white students and wealthy students have done and less 271 00:13:57,760 --> 00:14:01,720 Speaker 1: wealthy and socio economically disadvantaged students have, has been getting closer. Right, 272 00:14:01,720 --> 00:14:04,560 Speaker 1: we're doing a good jobs educational system. Well, the most 273 00:14:04,600 --> 00:14:08,240 Speaker 1: recent results showed that two decades worth of progress have 274 00:14:08,320 --> 00:14:11,040 Speaker 1: been eliminated. And if you know any kids, I mean, 275 00:14:11,040 --> 00:14:13,080 Speaker 1: you ask a kid to do a math problem these days, 276 00:14:13,080 --> 00:14:15,400 Speaker 1: they might look at you like, the only math problem 277 00:14:15,440 --> 00:14:17,240 Speaker 1: they know how to do is one mask good, two 278 00:14:17,280 --> 00:14:21,000 Speaker 1: masks better, And so I think it's And what they've 279 00:14:21,000 --> 00:14:23,400 Speaker 1: said is that the nine year olds to participate in 280 00:14:23,400 --> 00:14:26,600 Speaker 1: this test are predictive of a student's success in school 281 00:14:26,680 --> 00:14:30,520 Speaker 1: and their educational trajectories, and so because the low performing 282 00:14:30,600 --> 00:14:33,600 Speaker 1: students posted greater score decrease actually twice as much of 283 00:14:33,640 --> 00:14:37,240 Speaker 1: a decrease for lower performing students and minority students as 284 00:14:37,280 --> 00:14:40,240 Speaker 1: their wealthier white counterparts, than what they're saying is that 285 00:14:40,240 --> 00:14:45,120 Speaker 1: that actually can predict and suggest that we now have 286 00:14:45,160 --> 00:14:49,440 Speaker 1: a generation of students whose lives will be impacted by 287 00:14:49,800 --> 00:14:53,000 Speaker 1: your point, policies that were created by people who won't 288 00:14:53,000 --> 00:14:54,840 Speaker 1: actually be impacted by them. Yeah, I mean, let's be 289 00:14:54,880 --> 00:14:56,640 Speaker 1: honest about this and blunt about it. The people that 290 00:14:56,640 --> 00:15:00,080 Speaker 1: we're pushing mask mandates, I think, and shutdowns of the 291 00:15:00,120 --> 00:15:04,920 Speaker 1: most were frightened wealthy suburbanites who could do their job 292 00:15:05,000 --> 00:15:07,960 Speaker 1: from home. They're basically keyboard commandos, right. They work in 293 00:15:08,040 --> 00:15:11,440 Speaker 1: corporate offices, they work for consultancies, and it's not a 294 00:15:11,440 --> 00:15:14,760 Speaker 1: problem they're at home with their kids. What happens to 295 00:15:14,840 --> 00:15:17,760 Speaker 1: the person that works in the food service industry or 296 00:15:17,800 --> 00:15:21,160 Speaker 1: works in manufacturing. They can't do their job from home. 297 00:15:21,240 --> 00:15:23,840 Speaker 1: So if the schools are shut down and both parents 298 00:15:23,840 --> 00:15:26,680 Speaker 1: are working, the kids are screwed. The kids are stuck 299 00:15:26,720 --> 00:15:31,280 Speaker 1: by themselves and they don't really have great options. So 300 00:15:31,560 --> 00:15:34,400 Speaker 1: the damage that was done was primarily done to poor, 301 00:15:34,480 --> 00:15:38,160 Speaker 1: in minority students. And the problem is these wealthy people 302 00:15:38,200 --> 00:15:41,160 Speaker 1: in the suburbs, in a mad rush, a hyper rush 303 00:15:41,200 --> 00:15:44,720 Speaker 1: to quote unquote protect themselves, ran over people in the 304 00:15:44,760 --> 00:15:46,960 Speaker 1: process and did all this damage. Right, We've also done 305 00:15:47,000 --> 00:15:50,080 Speaker 1: research to suggests that the people that actually make decisions 306 00:15:50,080 --> 00:15:52,920 Speaker 1: in some of these big city school districts in Philadelphia, 307 00:15:52,920 --> 00:15:55,360 Speaker 1: New York are actually the teachers unions. And some of 308 00:15:55,360 --> 00:15:57,080 Speaker 1: the research that we've done that we've talked about on 309 00:15:57,120 --> 00:15:59,360 Speaker 1: previous podcasts that you can get at the drilldown dot com, 310 00:16:00,120 --> 00:16:03,400 Speaker 1: just that teachers unions have been transformed. They no longer 311 00:16:03,400 --> 00:16:06,440 Speaker 1: advocate for things that will help teachers actually educate students, 312 00:16:06,800 --> 00:16:08,960 Speaker 1: or at least note that's not that priority. Their priorities 313 00:16:09,000 --> 00:16:11,720 Speaker 1: now political spending. And so to the extent that masks 314 00:16:11,760 --> 00:16:14,720 Speaker 1: have become this cultural touch point, this thing that suggests 315 00:16:14,760 --> 00:16:17,280 Speaker 1: the political ideology just by putting it on or taking 316 00:16:17,320 --> 00:16:20,960 Speaker 1: it off, I don't think it's unfair to question the 317 00:16:21,040 --> 00:16:23,320 Speaker 1: role that teachers unions have played in some of these 318 00:16:23,320 --> 00:16:27,119 Speaker 1: decisions that are coming to notice liberal areas like Philadelphia 319 00:16:27,160 --> 00:16:29,760 Speaker 1: out in California. Yeah, exactly. I mean, you've got these 320 00:16:29,760 --> 00:16:32,200 Speaker 1: groups that are advocating these positions. The other thing that's 321 00:16:32,240 --> 00:16:34,680 Speaker 1: weird to me is this was all about COVID, right, 322 00:16:35,520 --> 00:16:39,440 Speaker 1: This nasty disease, the sort of once in a generation 323 00:16:39,520 --> 00:16:41,920 Speaker 1: disease that we have to get a handle on. And 324 00:16:42,840 --> 00:16:45,080 Speaker 1: that's why we need the masks, That's why we need 325 00:16:45,080 --> 00:16:48,920 Speaker 1: the lockdowns. Now we've got these other illnesses, and suddenly 326 00:16:48,960 --> 00:16:51,640 Speaker 1: they're calling for the same prescriptions. He's Peter Schweitzer. He's 327 00:16:51,680 --> 00:16:53,760 Speaker 1: number one New York Times best selling author, Peter Schweitzer. 328 00:16:53,760 --> 00:16:56,320 Speaker 1: He's also mentioned in the Twitter files Dump today, I'm 329 00:16:56,440 --> 00:16:58,840 Speaker 1: Ericagers were from the drill Down podcast dot com. Coming back, 330 00:16:59,080 --> 00:17:01,760 Speaker 1: We've got x DS. You will talk about just how 331 00:17:01,840 --> 00:17:05,280 Speaker 1: tyrannical and ill conceived some of the policies have been. 332 00:17:12,400 --> 00:17:14,720 Speaker 1: If you want to improve your shooting, of course you do. 333 00:17:14,840 --> 00:17:18,040 Speaker 1: Now you're gonna love Mantis X. Now they have improved 334 00:17:18,080 --> 00:17:21,639 Speaker 1: my shooting dramatically. It is a must have for every 335 00:17:21,760 --> 00:17:25,399 Speaker 1: responsible gun owner. Now. The Mantis X is a high 336 00:17:25,400 --> 00:17:28,800 Speaker 1: tech but simple to use system used extensively by the 337 00:17:28,800 --> 00:17:31,679 Speaker 1: way by the military, and it improves your shooting quickly 338 00:17:31,720 --> 00:17:34,080 Speaker 1: and will give you the confidence in your ability to 339 00:17:34,119 --> 00:17:37,040 Speaker 1: protect what you love. Now here's how it works. 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So start 350 00:18:06,960 --> 00:18:10,120 Speaker 1: improving today. Just go to mantis x dot com. That's 351 00:18:10,280 --> 00:18:13,720 Speaker 1: m a ntisx dot com. Now that we made some 352 00:18:13,800 --> 00:18:17,399 Speaker 1: money for our sponsors, let's go back to making the 353 00:18:17,600 --> 00:18:23,440 Speaker 1: liberals crazy. The Handman is back on the radio right now. Hi, 354 00:18:23,560 --> 00:18:25,919 Speaker 1: this is Peter Schweitzer and Eric Eggers. We are filling 355 00:18:25,960 --> 00:18:29,880 Speaker 1: in for Sean Hannity. Merry Christmas, Happy Hanuka to everyone. 356 00:18:30,240 --> 00:18:33,560 Speaker 1: You can find our podcast at the Drilldown dot com. 357 00:18:34,240 --> 00:18:37,040 Speaker 1: So people are talking about it coming back again. The 358 00:18:37,119 --> 00:18:40,959 Speaker 1: mask mandates, maybe even the lockdowns, and fortunately we have 359 00:18:41,000 --> 00:18:43,920 Speaker 1: a couple of guests with us today to talk about 360 00:18:43,960 --> 00:18:47,760 Speaker 1: this very subject. John Leek is the co author with 361 00:18:47,920 --> 00:18:52,919 Speaker 1: doctor Peter McCullough, of the Courage to Face COVID nineteen. John, 362 00:18:53,000 --> 00:18:56,760 Speaker 1: are you there, Yes, sir, I'm here. Thank you, Thanks 363 00:18:56,760 --> 00:18:58,760 Speaker 1: for joining us. We also have on the phone. Doctor 364 00:18:58,800 --> 00:19:02,760 Speaker 1: Brian Tyson is a physician in California and he is 365 00:19:02,800 --> 00:19:07,120 Speaker 1: the author of Overcoming the COVID Darkness. Doctor Tyson, are 366 00:19:07,160 --> 00:19:10,439 Speaker 1: you there? Yeah? I am. How you doing? We are 367 00:19:10,480 --> 00:19:12,720 Speaker 1: doing great well, Thank you. So I wanted to get 368 00:19:12,760 --> 00:19:16,760 Speaker 1: your take first, doctor Tyson. In general, how concerned are 369 00:19:16,800 --> 00:19:21,200 Speaker 1: you about what is being spread as this sort of triedemic, 370 00:19:21,520 --> 00:19:26,280 Speaker 1: this respiratory illness flew the return of COVID As a physician, 371 00:19:26,400 --> 00:19:31,280 Speaker 1: is this something you're particularly concerned about currently, No, We've 372 00:19:31,280 --> 00:19:33,359 Speaker 1: been seeing a lot of it in the clinic. Or 373 00:19:33,400 --> 00:19:35,639 Speaker 1: do you care? Care of about two hundred patients a 374 00:19:35,760 --> 00:19:41,360 Speaker 1: day and it seems to be you know, freddings fairly quickly, 375 00:19:41,480 --> 00:19:45,240 Speaker 1: but the severity of illness still seems to be manageable 376 00:19:45,280 --> 00:19:49,280 Speaker 1: at this point. John, what's your take on the way 377 00:19:49,320 --> 00:19:53,480 Speaker 1: that the threat of this triedemic seems to be used 378 00:19:53,520 --> 00:19:57,280 Speaker 1: as an excuse to bring back or leverage these policies 379 00:19:57,320 --> 00:19:59,000 Speaker 1: that had lost popularity. But it's like, if we have 380 00:19:59,040 --> 00:20:01,639 Speaker 1: a new crisis, then we have a new chance to 381 00:20:02,000 --> 00:20:04,560 Speaker 1: do the things that we've always wanted to do. But 382 00:20:05,040 --> 00:20:06,560 Speaker 1: at the end of the day, we got stop them 383 00:20:06,600 --> 00:20:10,400 Speaker 1: doing it. But now we're back. I think that our government, 384 00:20:10,520 --> 00:20:15,200 Speaker 1: our government agencies and their friends and these international foundations 385 00:20:15,600 --> 00:20:19,440 Speaker 1: Doctor McCullough and I call it the bio pharmaceutical complex. 386 00:20:20,160 --> 00:20:22,960 Speaker 1: It bears a strong resemblance and is related to the 387 00:20:23,040 --> 00:20:29,480 Speaker 1: military industrial complex. They've become addicted to crises, to emergencies 388 00:20:30,040 --> 00:20:32,960 Speaker 1: because as long as the public perceives itself to be 389 00:20:33,000 --> 00:20:37,040 Speaker 1: in a state of emergency, then these government agencies get 390 00:20:37,080 --> 00:20:42,600 Speaker 1: to continue with their gravy train of pandemic response, money 391 00:20:42,640 --> 00:20:46,840 Speaker 1: and emergency countermeasures. And so I expect we'll just be 392 00:20:47,000 --> 00:20:51,760 Speaker 1: lurching from one emergency to the next. So, doctor Tyson, 393 00:20:52,040 --> 00:20:54,960 Speaker 1: tell me, how do you think decisions are being made 394 00:20:55,359 --> 00:20:58,320 Speaker 1: at the highest level in government today? You heard what 395 00:20:58,440 --> 00:21:02,280 Speaker 1: John was talking about, the sort of biomedical industrial complex. 396 00:21:02,680 --> 00:21:05,399 Speaker 1: I know certainly you've been critical of how the response 397 00:21:05,440 --> 00:21:09,200 Speaker 1: has happened. This is kind of a systematic problem, right, 398 00:21:09,240 --> 00:21:12,560 Speaker 1: I mean, we have leaders in Washington. They're making decisions 399 00:21:12,600 --> 00:21:16,800 Speaker 1: based on vested commercial interests in part maybe in other 400 00:21:16,840 --> 00:21:19,600 Speaker 1: parts based on bad science. But what's your take on 401 00:21:19,640 --> 00:21:24,560 Speaker 1: what is driving so much of this bad policy in Washington? Well, 402 00:21:24,720 --> 00:21:27,240 Speaker 1: I mean, I think part of the problem, number one 403 00:21:27,400 --> 00:21:29,760 Speaker 1: is you have people making decisions who aren't taking care 404 00:21:29,800 --> 00:21:34,480 Speaker 1: of patients that first and foremost. To this date, I've 405 00:21:34,520 --> 00:21:38,000 Speaker 1: still nobody from Washington or even the Public Health Department 406 00:21:38,560 --> 00:21:40,600 Speaker 1: wants to sit down and have a conversation with me. 407 00:21:40,680 --> 00:21:43,560 Speaker 1: Who's been taking care of COVID nineteen patients for three 408 00:21:43,640 --> 00:21:48,439 Speaker 1: years now. We have a substantial amount of data, we 409 00:21:48,520 --> 00:21:53,000 Speaker 1: have a great track record. We've been using effective early 410 00:21:53,080 --> 00:21:57,960 Speaker 1: treatments from monoclon landed bodies to repurpose drugs, and nobody 411 00:21:58,000 --> 00:22:00,639 Speaker 1: wants to seem to have a conversation. But those who 412 00:22:00,680 --> 00:22:04,040 Speaker 1: are making the decisions seem to be making it on 413 00:22:04,760 --> 00:22:09,520 Speaker 1: financial incentives and control issues rather than actual science. And 414 00:22:09,600 --> 00:22:11,600 Speaker 1: you know, we've we've looked at the data, We've seen 415 00:22:11,640 --> 00:22:14,120 Speaker 1: the data, and we all know that what they did 416 00:22:14,160 --> 00:22:17,320 Speaker 1: didn't work, So why are we repeating those same steps? 417 00:22:17,480 --> 00:22:20,560 Speaker 1: Makes no sense just for our listeners, Doctor Tyson. When 418 00:22:20,600 --> 00:22:23,440 Speaker 1: you say the data shows it didn't work, what specifically 419 00:22:23,440 --> 00:22:27,360 Speaker 1: do you mean? So when you look at lockdowns, at masking. 420 00:22:27,440 --> 00:22:29,960 Speaker 1: You look at all of these issues, there was no 421 00:22:31,240 --> 00:22:35,200 Speaker 1: improvement in outcomes. We actually saw the opposite. More people 422 00:22:35,280 --> 00:22:41,160 Speaker 1: got affected, more people still and within the hospital people 423 00:22:41,400 --> 00:22:46,439 Speaker 1: were still, you know, spreading the disease despite all of 424 00:22:46,440 --> 00:22:50,479 Speaker 1: the measures that were you know, quote taken. Businesses were 425 00:22:50,480 --> 00:22:54,640 Speaker 1: shut down, people lost their jobs, people lost their place 426 00:22:54,720 --> 00:22:59,120 Speaker 1: of business, and you know, it didn't work. Just didn't work. 427 00:22:59,480 --> 00:23:03,560 Speaker 1: You know, kids in schools fell behind, and there was 428 00:23:03,680 --> 00:23:08,680 Speaker 1: no difference from countries or states that didn't implement these 429 00:23:08,840 --> 00:23:12,960 Speaker 1: compared to the states he didn't. That's doctor Brian Tyson. 430 00:23:13,080 --> 00:23:16,400 Speaker 1: He's a physician and author of Overcoming the COVID Darkness. 431 00:23:16,760 --> 00:23:19,080 Speaker 1: We're also on with John Leek, who's a co author 432 00:23:19,160 --> 00:23:23,600 Speaker 1: with doctor Peter McCullough of The Courage to Face COVID nineteen. John, 433 00:23:23,680 --> 00:23:27,159 Speaker 1: you use that term the biomedical industrial complex. Could you 434 00:23:27,200 --> 00:23:31,359 Speaker 1: explain to us its origins and what can be done, 435 00:23:31,520 --> 00:23:35,600 Speaker 1: if anything, to counteract it in our current government. I 436 00:23:35,680 --> 00:23:40,600 Speaker 1: think the origins were in the Eisenhower administration, and when 437 00:23:40,680 --> 00:23:45,800 Speaker 1: Eisenhower left office in sixty one, somewhat paradoxically, given he 438 00:23:45,920 --> 00:23:52,000 Speaker 1: was the Supreme Allied Commander twice, he actually warned the 439 00:23:52,080 --> 00:23:57,440 Speaker 1: American people about how this military industrial complex, and by 440 00:23:57,520 --> 00:24:02,600 Speaker 1: that time these biomedical products were becoming part of the mix, 441 00:24:03,520 --> 00:24:09,080 Speaker 1: that this complex of industry and public funding, a sort 442 00:24:09,119 --> 00:24:16,760 Speaker 1: of corporatist complex, was actually endangering the constitutionally guaranteed rights 443 00:24:16,800 --> 00:24:20,359 Speaker 1: of the citizenry. This was Eisenhower's famous farewell addressed in 444 00:24:20,480 --> 00:24:24,400 Speaker 1: sixty one, and we've seen this monster just grow and grow. 445 00:24:25,000 --> 00:24:27,439 Speaker 1: It really took off in two thousand and five with 446 00:24:27,560 --> 00:24:32,520 Speaker 1: the PREP Act, the Public Readiness and Emergency Preparedness Act, 447 00:24:33,080 --> 00:24:38,879 Speaker 1: which granted blanket a liability protection to pharmaceutical companies making 448 00:24:38,920 --> 00:24:44,119 Speaker 1: any kind of so called a pandemic counter measure. I 449 00:24:44,160 --> 00:24:47,680 Speaker 1: mean the thing that these guys really have a sort 450 00:24:47,720 --> 00:24:52,040 Speaker 1: of corrected a religion of our vaccines, new vaccines, but 451 00:24:52,200 --> 00:24:56,080 Speaker 1: any calendar measure could fall under the PREP Act, and 452 00:24:56,200 --> 00:25:01,800 Speaker 1: it provides blanket liability. It provides the Department of Health 453 00:25:01,800 --> 00:25:06,440 Speaker 1: and Human Services with the legal authority to declare an emergency, 454 00:25:06,480 --> 00:25:10,720 Speaker 1: and one that emergency is declared, then you have tens 455 00:25:10,720 --> 00:25:14,320 Speaker 1: of billions, if not hundreds of billions, of public funds 456 00:25:14,359 --> 00:25:23,760 Speaker 1: flowing to the beneficiary of this countermeasure concept. So, I mean, 457 00:25:24,000 --> 00:25:27,360 Speaker 1: when you get that kind of money flowing from public coffers, 458 00:25:27,400 --> 00:25:32,360 Speaker 1: combined with liability protection, combined with the government doing all 459 00:25:32,400 --> 00:25:36,479 Speaker 1: of assuming all responsibility for marketing, because remember these are 460 00:25:36,600 --> 00:25:41,080 Speaker 1: emergency use authorization products. It's the government that is doing 461 00:25:41,119 --> 00:25:45,040 Speaker 1: all the purchasing and marketing. It's too much of a temptation. 462 00:25:46,040 --> 00:25:50,600 Speaker 1: Hence we have this constant lurching from one emergency to 463 00:25:50,640 --> 00:25:54,480 Speaker 1: the next, even when it's just laughably not an emergency. 464 00:25:54,520 --> 00:25:59,120 Speaker 1: I mean, the so called monkeypox just plainly not an emergency, 465 00:26:00,080 --> 00:26:04,280 Speaker 1: but the temptation is there. Well, monkeypox isn't an emergency 466 00:26:04,359 --> 00:26:07,400 Speaker 1: unless you have monkeypox. But no, I think that it's 467 00:26:07,400 --> 00:26:09,119 Speaker 1: a good point that you would make. I think the 468 00:26:09,160 --> 00:26:10,679 Speaker 1: other thing I would say is it's you know, we 469 00:26:10,800 --> 00:26:15,600 Speaker 1: at the Government Accountability Institute, the Department of Health and 470 00:26:15,720 --> 00:26:20,880 Speaker 1: Human Services secretary declared an emergency in August this year. No, 471 00:26:21,960 --> 00:26:23,920 Speaker 1: you're absolutely right, we're just having a little bit of fun. 472 00:26:23,960 --> 00:26:26,080 Speaker 1: But I think your point about the incentive structures is 473 00:26:26,080 --> 00:26:28,720 Speaker 1: exactly correct. At the Government Accountability Institute, one of the 474 00:26:28,720 --> 00:26:31,400 Speaker 1: things that we study our incentive structures, and I think 475 00:26:31,440 --> 00:26:34,679 Speaker 1: that everything you just said about there being no incentive 476 00:26:35,040 --> 00:26:37,679 Speaker 1: to curtail the program because they have liability protections they 477 00:26:37,720 --> 00:26:40,160 Speaker 1: have guaranteed funding sources. Is correct, but it's not just 478 00:26:40,200 --> 00:26:43,879 Speaker 1: the biomedical industrial complex. We've done reporting before about because 479 00:26:43,920 --> 00:26:48,320 Speaker 1: of the pandemic era rules, public assistance was given away 480 00:26:48,320 --> 00:26:50,200 Speaker 1: at an all time high, and that led to record 481 00:26:50,240 --> 00:26:53,399 Speaker 1: levels of fraud because the public assistance people were in 482 00:26:53,400 --> 00:26:54,920 Speaker 1: the business of giving it out, but they weren't in 483 00:26:54,920 --> 00:26:57,400 Speaker 1: the business of investigating. So it's not just biomedical people. 484 00:26:57,440 --> 00:27:01,000 Speaker 1: It's governments across the full spectrum of the taxpayer dole 485 00:27:01,480 --> 00:27:05,400 Speaker 1: that suddenly are more relevant and doing bigger business when 486 00:27:05,440 --> 00:27:08,520 Speaker 1: you have a public emergency. And one of the things 487 00:27:08,560 --> 00:27:10,800 Speaker 1: that you know we've studied is show me the next 488 00:27:10,800 --> 00:27:16,240 Speaker 1: government program to get smaller. Correct I concur and I 489 00:27:16,680 --> 00:27:21,440 Speaker 1: doctor Tyson and his colleague, doctor George Shred. They're heroic 490 00:27:21,560 --> 00:27:24,439 Speaker 1: characters in my book with doctor McCollough. And you know, 491 00:27:24,480 --> 00:27:28,520 Speaker 1: everyone scratching their head. Why the suppression of FDA approved 492 00:27:28,720 --> 00:27:32,280 Speaker 1: drugs that are repurposed for treating COVID And the answer 493 00:27:32,400 --> 00:27:35,520 Speaker 1: is because it would take the edge off of the emergency. 494 00:27:36,600 --> 00:27:41,000 Speaker 1: I know this sounds rather diabolical, but the evidence supports 495 00:27:41,080 --> 00:27:46,080 Speaker 1: the proposition that we don't want to reduce the emergency 496 00:27:46,240 --> 00:27:52,000 Speaker 1: we want a full blown perception in the public that 497 00:27:52,200 --> 00:27:54,120 Speaker 1: kids are locked up, no one can go I mean 498 00:27:54,160 --> 00:27:58,119 Speaker 1: doctor Tyson gave a speech and Washington on the state 499 00:27:58,119 --> 00:28:00,560 Speaker 1: of the steps of the Supreme Court saying, you know, 500 00:28:00,600 --> 00:28:03,600 Speaker 1: no one has to die, kids can go back to school. Well, 501 00:28:03,680 --> 00:28:07,080 Speaker 1: doctor Tyson was an effect raining on the parade as 502 00:28:07,160 --> 00:28:11,760 Speaker 1: the bios pharmaceutical complex. Yeah, and there are so many 503 00:28:11,800 --> 00:28:17,480 Speaker 1: powerful Go ahead, doctor Tyson. Tell us, from your perspective 504 00:28:17,480 --> 00:28:20,399 Speaker 1: as a doctor, how you fight this. Yeah, it was. 505 00:28:20,480 --> 00:28:23,879 Speaker 1: It was. It's bizarre. I mean, you know you you 506 00:28:23,440 --> 00:28:25,920 Speaker 1: you think you come on to something and you start 507 00:28:25,960 --> 00:28:29,400 Speaker 1: treating people, and people start getting better, and and your 508 00:28:29,440 --> 00:28:35,600 Speaker 1: clinic is immersed with patients. Um. And we treated everybody. 509 00:28:35,640 --> 00:28:39,200 Speaker 1: We've treated now over twenty thousand COVID nineteen patients and 510 00:28:39,360 --> 00:28:43,760 Speaker 1: we only lost four people out of twenty thousand. Think 511 00:28:44,200 --> 00:28:47,600 Speaker 1: you would think that that would, you know, raise the 512 00:28:47,760 --> 00:28:50,320 Speaker 1: level of Hey, we can treat this, we can go 513 00:28:50,360 --> 00:28:53,520 Speaker 1: about our business, and we can get back to life. Um. 514 00:28:53,720 --> 00:28:56,040 Speaker 1: But as John said, it's it's very clear that that's 515 00:28:56,080 --> 00:28:59,760 Speaker 1: not what they want, because if they did, you know, 516 00:28:59,760 --> 00:29:02,480 Speaker 1: get this. I had the State of California in my 517 00:29:02,600 --> 00:29:06,360 Speaker 1: office for two years collecting data. But the data that 518 00:29:06,400 --> 00:29:09,440 Speaker 1: they did not want to have was the treatment data 519 00:29:09,480 --> 00:29:11,760 Speaker 1: they did. They refused to look at the treatment data. 520 00:29:11,880 --> 00:29:14,760 Speaker 1: They refused to look at the reinfection rate data. They 521 00:29:14,840 --> 00:29:19,360 Speaker 1: simply wanted the demographics and the comorbidities. That's all they 522 00:29:19,400 --> 00:29:23,760 Speaker 1: were interested in. Tell me why why is that? And 523 00:29:23,800 --> 00:29:25,880 Speaker 1: then to add to it any effort you would have 524 00:29:25,920 --> 00:29:28,280 Speaker 1: had to spread your actual find instances, the state of 525 00:29:28,280 --> 00:29:31,240 Speaker 1: California wasn't that interested in. It would have been censored 526 00:29:31,280 --> 00:29:33,240 Speaker 1: and shut down on the social media platforms you would 527 00:29:33,240 --> 00:29:35,040 Speaker 1: have used it to spread it, right, it would have 528 00:29:35,000 --> 00:29:38,440 Speaker 1: been flagged disinformation. You might have been labeled as everybody. 529 00:29:38,520 --> 00:29:41,240 Speaker 1: Yet we posted on every interview that I went on. 530 00:29:41,400 --> 00:29:44,440 Speaker 1: Anything that you know was posted on YouTube with my 531 00:29:44,520 --> 00:29:49,640 Speaker 1: name on it was taken off and flagged as misinformation. 532 00:29:50,360 --> 00:29:53,360 Speaker 1: It's it's crazy. That's crazy because you have twenty thousand 533 00:29:53,440 --> 00:29:57,600 Speaker 1: individuals out here who can testify in court that what 534 00:29:57,680 --> 00:30:01,760 Speaker 1: we did was correct and people people lived in well. 535 00:30:01,840 --> 00:30:04,880 Speaker 1: Terrific information from both of you, Doctor Tyson. We appreciate 536 00:30:04,960 --> 00:30:07,560 Speaker 1: the battle that you have fought on the front lines. 537 00:30:08,080 --> 00:30:11,120 Speaker 1: I would recommend encourage people to pick up a copy 538 00:30:11,160 --> 00:30:15,040 Speaker 1: of his book, Overcoming the COVID darkness. And also thank 539 00:30:15,080 --> 00:30:17,520 Speaker 1: you John Leek for joining us. He's the co author 540 00:30:17,520 --> 00:30:21,320 Speaker 1: with doctor Peter McCullough of the Courage to Face COVID nineteen. 541 00:30:21,680 --> 00:30:24,000 Speaker 1: Mark risens to both of you, and we appreciate the 542 00:30:24,000 --> 00:30:29,000 Speaker 1: fight that you're putting up. Thank you, Thank you. We'll 543 00:30:29,000 --> 00:30:31,720 Speaker 1: actually talking the five o'clock hour about other ways that 544 00:30:31,880 --> 00:30:35,640 Speaker 1: big tech and social media specifically have actively shaped information 545 00:30:35,760 --> 00:30:38,600 Speaker 1: that Americans have access to you and that don't have 546 00:30:38,720 --> 00:30:40,680 Speaker 1: access to it. And it's not just about COVID. The 547 00:30:40,920 --> 00:30:43,280 Speaker 1: litany of stories, and again Peter Schweitzer, who's the co 548 00:30:43,360 --> 00:30:44,800 Speaker 1: host of this program and the co host of the 549 00:30:44,840 --> 00:30:47,360 Speaker 1: Drill Down podcast, mentioned today in the Twitter files, I 550 00:30:47,400 --> 00:30:49,640 Speaker 1: don't know that you take that as like a positive 551 00:30:49,720 --> 00:30:52,400 Speaker 1: or a negative. Oh, it was quite positive, quite positive. 552 00:30:52,440 --> 00:30:55,960 Speaker 1: You made it. Let's go. He's Peter Schweizer, Americaggers. We 553 00:30:55,960 --> 00:30:57,800 Speaker 1: are filling in for Sean Handy. We'd love to have 554 00:30:57,840 --> 00:30:59,920 Speaker 1: you joined the conversation. Give us a call. It eight 555 00:31:00,000 --> 00:31:02,160 Speaker 1: one hundred and nine four one seven three two six. 556 00:31:02,400 --> 00:31:04,480 Speaker 1: That's eight hundred nine for one Sean. 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That's only 574 00:32:05,480 --> 00:32:08,080 Speaker 1: forty nine ninety eight a pair, and while you're there, 575 00:32:08,160 --> 00:32:11,440 Speaker 1: check out other products with deep discounts as well, from 576 00:32:11,440 --> 00:32:13,920 Speaker 1: pillows to sheets to slippers. They have it all. Just 577 00:32:14,000 --> 00:32:16,200 Speaker 1: go to my pillow dot com. Enter the promo code 578 00:32:16,200 --> 00:32:18,920 Speaker 1: Hannity or call eight hundred nine one nine six zero 579 00:32:19,040 --> 00:32:22,160 Speaker 1: nine zero. But this incredible offer they won't last long. 580 00:32:22,440 --> 00:32:26,600 Speaker 1: Order Now, Hi, this is Peter Schweitzer and Eric Eggers. 581 00:32:26,640 --> 00:32:28,720 Speaker 1: We are filling in for Sean Hannity on the Sean 582 00:32:28,800 --> 00:32:31,560 Speaker 1: Hannity Radio Show. You can join the conversation at one 583 00:32:31,600 --> 00:32:34,600 Speaker 1: eight hundred and nine four one seven three two six. 584 00:32:35,000 --> 00:32:39,280 Speaker 1: You can also find our podcasts at the drilldown dot com. 585 00:32:39,360 --> 00:32:42,520 Speaker 1: We've been talking about COVID, We've been talking about healthcare issues, 586 00:32:42,520 --> 00:32:46,400 Speaker 1: and we have a caller. We have a Rusty from Bakersfield, California, 587 00:32:46,560 --> 00:32:51,240 Speaker 1: and he is an aerosol expert. Rusty, thanks for joining us. Hi, 588 00:32:51,280 --> 00:32:54,320 Speaker 1: how are you doing this morning or this afternoon? We 589 00:32:54,360 --> 00:32:56,760 Speaker 1: are we are doing great. So tell us how does 590 00:32:56,800 --> 00:33:00,240 Speaker 1: aerosol and your concerns about this issue deal with the 591 00:33:00,560 --> 00:33:06,160 Speaker 1: health challenges we're facing. Well, it's sort of twofold, you know. 592 00:33:06,480 --> 00:33:09,240 Speaker 1: We hear from a lot of experts, and everybody teams 593 00:33:09,320 --> 00:33:12,520 Speaker 1: tends to lean on the mds, the medical doctors. But 594 00:33:13,240 --> 00:33:17,560 Speaker 1: as an occupational professional, somebody has been out there in 595 00:33:17,640 --> 00:33:23,240 Speaker 1: the field with a biological aerosols, chemical hazards and the like. 596 00:33:24,040 --> 00:33:29,280 Speaker 1: Respiratory protection is huge. And you know, I'm I'm qualified 597 00:33:29,320 --> 00:33:33,520 Speaker 1: in court to opine on the behavior, state and transport 598 00:33:33,560 --> 00:33:38,400 Speaker 1: of aerosols as it applies to the inhalation of the 599 00:33:38,480 --> 00:33:41,960 Speaker 1: aerosol in the errand that's where COVID is and you're 600 00:33:42,000 --> 00:33:45,880 Speaker 1: in a tight time confined with people, you know, the aerosol. 601 00:33:45,920 --> 00:33:48,800 Speaker 1: That's the whole six foot rule. That's why they want 602 00:33:48,920 --> 00:33:53,440 Speaker 1: masking because they believe, you know, the public health professionals 603 00:33:53,440 --> 00:33:57,440 Speaker 1: that it's an aerosol. So anytime you hear from an 604 00:33:57,440 --> 00:34:02,840 Speaker 1: expert talking about respiratory detection. Let's put take doctor Faucci 605 00:34:03,000 --> 00:34:07,040 Speaker 1: for example, I don't consider him a expert in the behavior, 606 00:34:07,120 --> 00:34:11,040 Speaker 1: faton transport of aerosols. There maybe an exception because if 607 00:34:11,040 --> 00:34:14,560 Speaker 1: you were call, what's the first thing that Fauci said 608 00:34:14,600 --> 00:34:19,399 Speaker 1: about masks? They're not that effective. I agreed with the man, 609 00:34:20,600 --> 00:34:23,799 Speaker 1: of course, when he said two masks are better than one. 610 00:34:23,920 --> 00:34:26,640 Speaker 1: I agreed with him there because hey, three masks are 611 00:34:26,680 --> 00:34:29,560 Speaker 1: better than two, right now, that's exactly right. Resting, we 612 00:34:29,600 --> 00:34:32,120 Speaker 1: appreciate the phone call. I think that's the challenge when 613 00:34:32,120 --> 00:34:34,880 Speaker 1: you talk about mask mandates. Returning to a school system 614 00:34:34,920 --> 00:34:39,160 Speaker 1: near you. I have numerous small children in elementary school, 615 00:34:39,400 --> 00:34:41,480 Speaker 1: and let me tell you what they're not elite at 616 00:34:42,160 --> 00:34:48,040 Speaker 1: is the scientifically appropriate application of masking to prevent maximum 617 00:34:48,040 --> 00:34:50,719 Speaker 1: aerosol distribution. You don't think they put them on the 618 00:34:50,760 --> 00:34:53,560 Speaker 1: way that health professionals tell them. Now that we know 619 00:34:53,600 --> 00:34:55,319 Speaker 1: the cloth masks are no good. So I think that's 620 00:34:55,360 --> 00:34:57,000 Speaker 1: where the real challenge comes in, is like what are 621 00:34:57,000 --> 00:34:59,239 Speaker 1: we actually trying to do and why are we trying 622 00:34:59,239 --> 00:35:00,680 Speaker 1: to do? 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