1 00:00:09,240 --> 00:00:13,560 Speaker 1: Trust. Trust is a funny thing, is it not. It's 2 00:00:13,600 --> 00:00:15,239 Speaker 1: one of those sayings. I didn't look. I didn't come 3 00:00:15,320 --> 00:00:17,560 Speaker 1: up with any of this sayings. As old as time, 4 00:00:18,239 --> 00:00:22,799 Speaker 1: trust is earned. Once it's lost, it's not easily gained back. 5 00:00:23,520 --> 00:00:26,239 Speaker 1: I mean, look, if you've ever dated a woman or 6 00:00:26,280 --> 00:00:29,600 Speaker 1: a man, you know it's easy to fall in love, right, 7 00:00:29,680 --> 00:00:32,400 Speaker 1: get infatuated. O. It's pretty girl over there. I love 8 00:00:32,400 --> 00:00:35,400 Speaker 1: her eyes. It's got a great laugh. It takes a 9 00:00:35,400 --> 00:00:38,160 Speaker 1: while to learn to trust, or doesn't it. It takes time, 10 00:00:39,000 --> 00:00:42,000 Speaker 1: and once it's gone, once she tells you she won't 11 00:00:42,000 --> 00:00:44,000 Speaker 1: borrow your truck, but then she borrows your truck and 12 00:00:44,000 --> 00:00:45,600 Speaker 1: puts a scratch in the side of it, it's not 13 00:00:45,680 --> 00:00:48,959 Speaker 1: easily earned back. No, I don't have any scars from 14 00:00:48,960 --> 00:00:51,640 Speaker 1: an earlier relationship. But no, I'm serious. But trust the 15 00:00:51,720 --> 00:00:56,160 Speaker 1: trust is a funny thing and part of living in 16 00:00:56,160 --> 00:00:59,640 Speaker 1: a society. However, whatever the sides, whether it's a small 17 00:00:59,680 --> 00:01:03,480 Speaker 1: trial somewhere in the Australian Outback or a major nation 18 00:01:03,560 --> 00:01:07,480 Speaker 1: like ours, there has to be a trust with the 19 00:01:07,560 --> 00:01:11,160 Speaker 1: citizens and the people who lead their culture. We have 20 00:01:11,200 --> 00:01:14,679 Speaker 1: cultural leaders. Cultures are built on various pillars, and those 21 00:01:14,720 --> 00:01:18,040 Speaker 1: pillars hold up the society, They lead the society. And 22 00:01:18,319 --> 00:01:21,280 Speaker 1: we are in a contract. We really are. You can 23 00:01:21,280 --> 00:01:23,800 Speaker 1: call it a social contract, probably an overused term, but 24 00:01:23,840 --> 00:01:27,720 Speaker 1: we are. And the social contract is simply this. Look. 25 00:01:27,840 --> 00:01:32,480 Speaker 1: You provide us with protection, you provide us with some 26 00:01:32,600 --> 00:01:36,200 Speaker 1: level of honesty. We in turn will pay our taxes, 27 00:01:36,200 --> 00:01:39,399 Speaker 1: will follow the law. Where we're under a contract here, 28 00:01:39,760 --> 00:01:44,360 Speaker 1: I trust you will do such things. What do we 29 00:01:44,400 --> 00:01:47,760 Speaker 1: do after we've been lied to for so long? And 30 00:01:47,800 --> 00:01:51,440 Speaker 1: I know it's not exactly news, governments lying to people. 31 00:01:51,600 --> 00:01:54,200 Speaker 1: Governments have done that since the dawn of man. It's 32 00:01:54,200 --> 00:01:57,200 Speaker 1: not even news. The American government lying to people. That's 33 00:01:57,240 --> 00:02:04,400 Speaker 1: what governments do. But stained massive lies, massive lies that 34 00:02:04,560 --> 00:02:08,920 Speaker 1: cost lives, that cost livelihoods. How are you and I 35 00:02:09,160 --> 00:02:12,280 Speaker 1: supposed to unpack that? How are we supposed to unpack 36 00:02:12,760 --> 00:02:16,480 Speaker 1: the country we have? Now? We have a nation where 37 00:02:18,200 --> 00:02:21,919 Speaker 1: we can't trust it anymore. And that doesn't give me 38 00:02:21,960 --> 00:02:26,639 Speaker 1: any pleasure to say that. I mean, can't trust the FBI, 39 00:02:27,880 --> 00:02:30,840 Speaker 1: you know it set that aside because that's controversial anyway. 40 00:02:31,880 --> 00:02:36,919 Speaker 1: You can't trust the CDC, the Center for Disease Control. 41 00:02:37,960 --> 00:02:40,280 Speaker 1: I don't know about you. I've always thought of the 42 00:02:40,320 --> 00:02:43,120 Speaker 1: CDC is there this team of doctors out there just 43 00:02:43,400 --> 00:02:45,640 Speaker 1: trying to figure out which diseases are out there? What 44 00:02:45,800 --> 00:02:47,880 Speaker 1: might come if they gets here? How do we treat it? 45 00:02:47,880 --> 00:02:49,480 Speaker 1: Just just a bunch of you know, a bunch of 46 00:02:49,520 --> 00:02:53,840 Speaker 1: nerds and lab codes somewhere keeping it safe. Now, we 47 00:02:53,880 --> 00:02:59,320 Speaker 1: can't even trust the CDC, can't trust the FDA, can't 48 00:02:59,320 --> 00:03:02,519 Speaker 1: trust half the doctors, certainly not the ones you see 49 00:03:02,560 --> 00:03:06,120 Speaker 1: on TV. Who can we trust? What do we do now? 50 00:03:06,639 --> 00:03:09,360 Speaker 1: What do we do now? When the President of the 51 00:03:09,480 --> 00:03:14,200 Speaker 1: United States of America campaigns on shutting down the virus. 52 00:03:15,040 --> 00:03:17,920 Speaker 1: I'm not gonna shut down the economy. I'm not gonna 53 00:03:17,919 --> 00:03:20,880 Speaker 1: shut down the country, but I'm gonna shut down the virus. 54 00:03:20,960 --> 00:03:24,079 Speaker 1: I'm gonna shut down the virus. I'm gonna shut down 55 00:03:24,160 --> 00:03:26,840 Speaker 1: the virus. I will take care of this. I will 56 00:03:27,000 --> 00:03:29,200 Speaker 1: end this. I will make sure we have a plan. 57 00:03:29,360 --> 00:03:32,600 Speaker 1: I'm gonna shut down the virus. I'll shut down the virus. 58 00:03:32,639 --> 00:03:34,960 Speaker 1: You're gonna shut down the virus. What I would say is, 59 00:03:35,000 --> 00:03:37,160 Speaker 1: I'm gonna shut down the virus. Now, I'm gonna shut 60 00:03:37,200 --> 00:03:41,480 Speaker 1: down the virus. Look, there is no federal solution. This 61 00:03:41,640 --> 00:03:47,360 Speaker 1: gets solved at a state level. What a stupid thing 62 00:03:47,400 --> 00:03:49,360 Speaker 1: to campaign on anyway. And I could point out right 63 00:03:49,360 --> 00:03:51,920 Speaker 1: now the coronavirus cases are through the roof and more 64 00:03:51,960 --> 00:03:54,480 Speaker 1: people have died from coronavirus than a Joe Biden. But 65 00:03:54,520 --> 00:03:56,720 Speaker 1: I'm not even gonna do that for you. What a 66 00:03:56,840 --> 00:04:00,520 Speaker 1: stupid thing to campaign on. Shut down a virus. You're 67 00:04:00,600 --> 00:04:04,480 Speaker 1: running to be president. You're not some drug out there, 68 00:04:05,000 --> 00:04:07,200 Speaker 1: Because shut down any then the president doesn't even have 69 00:04:07,240 --> 00:04:10,720 Speaker 1: the power to do that. Lies nothing but lies. Shut 70 00:04:10,720 --> 00:04:14,040 Speaker 1: down the virus. I'll shut down the virus. But speaking 71 00:04:14,040 --> 00:04:17,960 Speaker 1: of lies, there seems to be Of all the covid 72 00:04:18,040 --> 00:04:20,839 Speaker 1: lies that have been told, there seems to be one 73 00:04:21,720 --> 00:04:25,120 Speaker 1: that people have hung on to and they don't seem 74 00:04:25,160 --> 00:04:26,479 Speaker 1: to want to let it go. Because I want you 75 00:04:26,520 --> 00:04:27,920 Speaker 1: to Before I play this for you, I'll want you 76 00:04:27,960 --> 00:04:29,840 Speaker 1: to think about something. I want you to really think 77 00:04:29,880 --> 00:04:35,080 Speaker 1: about this. What is the point of vaccine mandate? Now 78 00:04:35,120 --> 00:04:37,080 Speaker 1: at the office, maybe maybe you work for an employer. 79 00:04:37,080 --> 00:04:41,440 Speaker 1: Of vaccine mandate, everyone has to be vaccinated. What are 80 00:04:41,440 --> 00:04:47,280 Speaker 1: they saying with that, Well, they're saying vaccinated people obviously 81 00:04:47,360 --> 00:04:50,360 Speaker 1: don't spread coronavirus. That otherwise there'd be no point in 82 00:04:50,440 --> 00:04:54,720 Speaker 1: a vaccine mandated vaccinated people get coronavirus, and vaccinated people 83 00:04:54,839 --> 00:04:58,560 Speaker 1: spread coronavirus, then there's no purpose in having a vaccine 84 00:04:58,560 --> 00:05:01,120 Speaker 1: mandate because it doesn't slow the spread or stop the spread. 85 00:05:01,200 --> 00:05:04,080 Speaker 1: Right thought, the whole point of a mandate would be 86 00:05:04,560 --> 00:05:07,200 Speaker 1: making sure the vaccine or making sure the virus does 87 00:05:07,200 --> 00:05:12,720 Speaker 1: it spread anymore. But vaccinated people do spread the virus. 88 00:05:13,440 --> 00:05:16,840 Speaker 1: Vaccinated people do get the virus. And to this day, 89 00:05:18,200 --> 00:05:21,640 Speaker 1: people like the President of the United States of America 90 00:05:21,760 --> 00:05:25,640 Speaker 1: will say things like this, and so everybody talks about 91 00:05:25,760 --> 00:05:29,760 Speaker 1: freedom and not to have a shot or have a test. Well, 92 00:05:29,800 --> 00:05:33,440 Speaker 1: guess what, and so how about patriotism? How about making 93 00:05:33,480 --> 00:05:36,440 Speaker 1: sure that you're vaccinated so you do not spread the 94 00:05:36,480 --> 00:05:44,320 Speaker 1: disease to anybody else? What about that? What's the big deal? Okay, 95 00:05:45,279 --> 00:05:49,120 Speaker 1: this is where politicians will start using words like wow, 96 00:05:49,440 --> 00:05:52,560 Speaker 1: maybe in a little bit off, I was shading the 97 00:05:52,600 --> 00:05:56,400 Speaker 1: truth there. That's a flat out lie. What he just 98 00:05:56,480 --> 00:05:58,960 Speaker 1: said is a flat out lie. That's the President of 99 00:05:59,000 --> 00:06:01,680 Speaker 1: the United States of America looking you right in the 100 00:06:01,760 --> 00:06:06,120 Speaker 1: eye on camera and lying. That's a factual lie. And 101 00:06:06,320 --> 00:06:08,640 Speaker 1: don't even get me started on doctor Fauci. I mean 102 00:06:08,640 --> 00:06:10,800 Speaker 1: a lot of people have forgotten about this. Do you 103 00:06:10,839 --> 00:06:15,440 Speaker 1: remember what doctor Fauci said in the very beginning about 104 00:06:15,520 --> 00:06:20,640 Speaker 1: face masks. Right now in the United States, people should 105 00:06:20,640 --> 00:06:23,800 Speaker 1: not be walking around with masks. You're sure of it, 106 00:06:23,839 --> 00:06:26,920 Speaker 1: because people are listening really no closely to this. Right now, 107 00:06:26,920 --> 00:06:28,800 Speaker 1: people should not be working. There's no reason to be 108 00:06:28,839 --> 00:06:32,240 Speaker 1: walking around with a mask when you're in the middle 109 00:06:32,320 --> 00:06:36,080 Speaker 1: of an outbreak. Wearing a mask might make people feel 110 00:06:36,600 --> 00:06:40,400 Speaker 1: a little bit better, and it might even block a droplet, 111 00:06:40,880 --> 00:06:44,479 Speaker 1: but it's not providing the perfect protection that people think 112 00:06:44,640 --> 00:06:50,560 Speaker 1: that it is. That's funny. When's the last time you 113 00:06:50,640 --> 00:06:53,520 Speaker 1: were in an airport? When's the last time you were 114 00:06:53,560 --> 00:06:57,320 Speaker 1: in a blue area of any kind, blue city? Whose state? 115 00:06:58,240 --> 00:07:01,480 Speaker 1: Everyone has them on, even the kids, everyone has them. 116 00:07:01,520 --> 00:07:06,839 Speaker 1: All weird. But again, lie after lie after lie, foud 117 00:07:06,880 --> 00:07:10,040 Speaker 1: she can't help himself. Fousci's still out there peddling this 118 00:07:10,280 --> 00:07:12,720 Speaker 1: really odd lie. I remember in the very beginning when 119 00:07:12,720 --> 00:07:15,480 Speaker 1: they told us the thing came from a bowl of 120 00:07:15,560 --> 00:07:18,120 Speaker 1: bat soup and a wet market somewhere, and then we 121 00:07:18,160 --> 00:07:20,000 Speaker 1: all kind of laugh that off. We thought, Okay, well 122 00:07:20,040 --> 00:07:24,720 Speaker 1: that's ridiculous. Fouci's still out there pushing it. Beijing acknowledges 123 00:07:24,760 --> 00:07:28,680 Speaker 1: now that they don't think it originated in that market. Well, 124 00:07:28,720 --> 00:07:32,920 Speaker 1: he may not have originated in the market, but it 125 00:07:33,040 --> 00:07:35,560 Speaker 1: certainly could have it. Well, there were clusters that may 126 00:07:35,600 --> 00:07:38,400 Speaker 1: have been picked up and transmitted, as I understand it, 127 00:07:38,480 --> 00:07:41,800 Speaker 1: through the market, but the place of origin was not 128 00:07:41,880 --> 00:07:43,840 Speaker 1: within the market itself. No, I don't think you could 129 00:07:43,840 --> 00:07:45,560 Speaker 1: say that that. I think you could say we don't 130 00:07:45,600 --> 00:07:52,480 Speaker 1: know how and where it originated. Yeah, we do. We 131 00:07:52,560 --> 00:07:55,320 Speaker 1: knew it came from the lab. We know it was 132 00:07:55,600 --> 00:07:58,440 Speaker 1: probably man made. One thing we do know for an 133 00:07:58,440 --> 00:08:01,520 Speaker 1: absolute fact is once China and found out they had it, 134 00:08:02,560 --> 00:08:06,160 Speaker 1: they stopped domestic air travel and allowed international air travel 135 00:08:06,200 --> 00:08:08,320 Speaker 1: to places like the United States of America. We know, 136 00:08:08,520 --> 00:08:11,520 Speaker 1: stop lying, Stop with the lies, stop with the wise 137 00:08:11,560 --> 00:08:14,160 Speaker 1: about kids. We talk all the time about how kids 138 00:08:14,200 --> 00:08:16,480 Speaker 1: have suffered and kids are suffering from this, and kids 139 00:08:16,480 --> 00:08:19,440 Speaker 1: are falling behind in school and having mental health problems 140 00:08:19,480 --> 00:08:22,920 Speaker 1: and all these things. We've been lying about the risk 141 00:08:23,040 --> 00:08:26,640 Speaker 1: for kids throughout this entire thing, and Randy Wine Garden 142 00:08:26,720 --> 00:08:29,440 Speaker 1: is still out there lying every single chance she gets. 143 00:08:29,520 --> 00:08:33,000 Speaker 1: In terms of vaccines, I think what Gavin Newsom did 144 00:08:33,040 --> 00:08:37,040 Speaker 1: in California is really the best model, which is that 145 00:08:37,120 --> 00:08:42,480 Speaker 1: the semester after they are they go from emergency use 146 00:08:42,840 --> 00:08:46,480 Speaker 1: to full authorization. And the FDA has done everything that 147 00:08:46,520 --> 00:08:49,960 Speaker 1: they need to do. That's what California has said, that 148 00:08:50,160 --> 00:08:53,559 Speaker 1: is the semester that they become mandatory. But and you 149 00:08:53,760 --> 00:08:59,120 Speaker 1: support that, and I personally support that. The Union hasn't 150 00:08:59,160 --> 00:09:02,760 Speaker 1: taken a position on that. Personally, I support that, and 151 00:09:03,240 --> 00:09:05,840 Speaker 1: you know, because we haven't. You know, our California Federation 152 00:09:05,920 --> 00:09:08,960 Speaker 1: has and they've support it, and you know, generally I 153 00:09:09,000 --> 00:09:14,160 Speaker 1: believe that we will take that position and support again, 154 00:09:15,760 --> 00:09:21,800 Speaker 1: why a mandatory vaccination if vaccinated people can spread coronavirus. 155 00:09:23,760 --> 00:09:28,960 Speaker 1: But remember part of the reason you've been so waterboarded 156 00:09:29,000 --> 00:09:32,920 Speaker 1: with lies for the last two years, it's because anyone 157 00:09:32,920 --> 00:09:36,080 Speaker 1: who tells the truth has been silenced. You remember already 158 00:09:36,080 --> 00:09:39,120 Speaker 1: played for you some stuff from doctor Robert Malone, the 159 00:09:39,160 --> 00:09:43,160 Speaker 1: inventor of the mRNA, the inventor of it. This is 160 00:09:43,160 --> 00:09:46,040 Speaker 1: the expert's expert. He went out there and he had 161 00:09:46,080 --> 00:09:50,679 Speaker 1: some very difficult things to say. He got censored for it, 162 00:09:50,679 --> 00:09:53,320 Speaker 1: he got banned, the whole episode got banned from YouTube. 163 00:09:53,400 --> 00:09:57,360 Speaker 1: Joe Rogan's show, his social media accounts were banned. Part 164 00:09:57,400 --> 00:09:59,760 Speaker 1: of the reason we've been drowning in lies is because 165 00:10:00,000 --> 00:10:02,640 Speaker 1: anyone with the courage to speak the truth like this 166 00:10:03,520 --> 00:10:08,960 Speaker 1: gets silenced from basically European intellectual inquiry into what the 167 00:10:08,960 --> 00:10:12,120 Speaker 1: heck happened in Germany in the twenties and thirties. You know, 168 00:10:12,360 --> 00:10:15,640 Speaker 1: very intelligent, highly educated population and they went barking mad 169 00:10:16,920 --> 00:10:22,200 Speaker 1: And how did that happen? The answer is mass formation 170 00:10:22,240 --> 00:10:26,359 Speaker 1: psychosis when you have a society that has become decoupled 171 00:10:26,400 --> 00:10:30,040 Speaker 1: from each other and has free floating anxiety in a 172 00:10:30,120 --> 00:10:33,880 Speaker 1: sense that things don't make sense, we can't understand it, 173 00:10:34,320 --> 00:10:37,120 Speaker 1: and then their attention gets focused by a leader or 174 00:10:37,160 --> 00:10:41,360 Speaker 1: a series of events on one small point. Just like hypnosis, 175 00:10:41,720 --> 00:10:46,120 Speaker 1: they literally become hypnotized and can be led anywhere. And 176 00:10:46,360 --> 00:10:49,040 Speaker 1: one of the aspects of that phenomena is the people 177 00:10:49,080 --> 00:10:52,040 Speaker 1: that they identify as their leaders, the ones typically that 178 00:10:52,120 --> 00:10:55,000 Speaker 1: come in and say, you have this pain, and I 179 00:10:55,040 --> 00:10:57,680 Speaker 1: can solve it for you. I and I alone, okay, 180 00:10:57,840 --> 00:11:00,760 Speaker 1: can fix this problem for you. Okay. Then they will lead. 181 00:11:00,840 --> 00:11:03,520 Speaker 1: They will follow that person through how it doesn't matter 182 00:11:03,520 --> 00:11:07,199 Speaker 1: whether they lie to them or whatever. The data are irrelevant. 183 00:11:07,600 --> 00:11:11,920 Speaker 1: And furthermore, anybody who questions that narrative is to be 184 00:11:11,960 --> 00:11:16,000 Speaker 1: immediately attacked. They are the other. This is central to 185 00:11:16,240 --> 00:11:20,360 Speaker 1: mass formation psychosis, and this is what has happened. We 186 00:11:20,400 --> 00:11:24,720 Speaker 1: had all those conditions. If you remember, back before twenty nineteen, 187 00:11:24,960 --> 00:11:28,240 Speaker 1: everybody was complaining the world doesn't make sense, blah blah blah, 188 00:11:29,200 --> 00:11:31,800 Speaker 1: and we're all isolated from each other, We're all on 189 00:11:31,800 --> 00:11:35,840 Speaker 1: our little tools, we're not connected socially anymore except through 190 00:11:35,880 --> 00:11:40,040 Speaker 1: social media. And then this thing happened and everybody focused 191 00:11:40,040 --> 00:11:44,000 Speaker 1: on it. That is how mass formation psychosis happens. And 192 00:11:44,120 --> 00:11:50,679 Speaker 1: that is what's happened here. Boy, that hit home, didn't it. 193 00:11:51,240 --> 00:11:55,720 Speaker 1: That sounded familiar. Trust you an American? Me an American? 194 00:11:56,320 --> 00:12:00,000 Speaker 1: How will you ever trust again when all these people 195 00:12:00,160 --> 00:12:02,719 Speaker 1: have lied to you for so long. Now we got 196 00:12:02,720 --> 00:12:04,880 Speaker 1: a great show for you tonight. We got Phil Kirpin 197 00:12:04,960 --> 00:12:07,400 Speaker 1: joining us next. He's got some stuff to say about 198 00:12:07,440 --> 00:12:10,640 Speaker 1: trust and how we were lied to time and time again. 199 00:12:10,679 --> 00:12:13,120 Speaker 1: All that may have made you uncomfortable, but I'm right, 200 00:12:13,800 --> 00:12:30,719 Speaker 1: we'll be back. Oh do you remember last year? Do 201 00:12:30,920 --> 00:12:33,439 Speaker 1: you remember last year? I'm sure you do remember last year. 202 00:12:33,880 --> 00:12:36,920 Speaker 1: I remember there were lots of us enjoining me now 203 00:12:36,920 --> 00:12:39,679 Speaker 1: as my friend Phil Kirpin, President of the American President 204 00:12:39,720 --> 00:12:43,120 Speaker 1: of American commitment. I remember when they were starting to 205 00:12:43,200 --> 00:12:49,520 Speaker 1: say every single person out there, Phil who dies with coronavirus, 206 00:12:49,640 --> 00:12:52,080 Speaker 1: died from coronavirus. It was one of the very early 207 00:12:52,120 --> 00:12:54,480 Speaker 1: things they started saying. And there were about five of 208 00:12:54,520 --> 00:12:58,160 Speaker 1: us who said, Okay, well, the coronavirus obviously is real, 209 00:12:58,280 --> 00:13:02,440 Speaker 1: but are they dying rubbits or are they dying with it? 210 00:13:02,480 --> 00:13:04,240 Speaker 1: Because those are two very different things. And then I 211 00:13:04,240 --> 00:13:07,040 Speaker 1: started hearing from nurses and doctors and friends of mine say, hey, 212 00:13:07,080 --> 00:13:09,360 Speaker 1: I work at a hospital. I'm telling you they're tested 213 00:13:09,400 --> 00:13:11,960 Speaker 1: everyone about a half dozen times, so they pop positive 214 00:13:12,000 --> 00:13:15,160 Speaker 1: for it and say they die from coronavirus. Do you 215 00:13:15,160 --> 00:13:17,600 Speaker 1: remember this conversation we were all having, Phil, I Do 216 00:13:17,720 --> 00:13:22,000 Speaker 1: and Jesse. Actually that was before the FEMA death benefit 217 00:13:22,080 --> 00:13:24,800 Speaker 1: was created. And remember that you can get nine thousand 218 00:13:24,840 --> 00:13:28,439 Speaker 1: dollars from FEMA if COVID appears anywhere on the death certificate. 219 00:13:28,480 --> 00:13:31,760 Speaker 1: And so we've got a lot of sympathetic medical examiners 220 00:13:31,800 --> 00:13:33,800 Speaker 1: and a lot of families that are grieving because someone 221 00:13:33,880 --> 00:13:36,000 Speaker 1: just died, and they say, you know, I can get 222 00:13:36,000 --> 00:13:38,120 Speaker 1: you nine thousand dollars if I write this on here. 223 00:13:38,160 --> 00:13:42,000 Speaker 1: And so the incentives are really to maximize anytime you 224 00:13:42,040 --> 00:13:44,959 Speaker 1: can remotely justify it to put COVID somewhere on there. 225 00:13:44,960 --> 00:13:48,000 Speaker 1: And so we've got this count, this eight hundred thousand 226 00:13:48,000 --> 00:13:50,720 Speaker 1: death count, that is, if you read the fine print, 227 00:13:50,880 --> 00:13:55,160 Speaker 1: COVID associated deaths. And yet when people talk about it, 228 00:13:55,200 --> 00:13:57,520 Speaker 1: they act as if they're causitive, and of course we 229 00:13:57,559 --> 00:14:02,040 Speaker 1: know many of them are not. Phil we've seen a 230 00:14:02,040 --> 00:14:05,600 Speaker 1: lot of the experts and boys, that term just been way, 231 00:14:05,679 --> 00:14:08,000 Speaker 1: way abused and pretty much trash at this point in time. 232 00:14:08,040 --> 00:14:10,600 Speaker 1: We've seen a lot of the experts, especially in recent weeks, 233 00:14:10,640 --> 00:14:13,520 Speaker 1: coming out and saying the things that well you were 234 00:14:13,600 --> 00:14:16,520 Speaker 1: saying very early on. Here was doctor Faucer going on 235 00:14:16,559 --> 00:14:20,080 Speaker 1: TV saying, hey, there's a big difference with and no. 236 00:14:20,520 --> 00:14:25,040 Speaker 1: Here he is. If you look at the children are hospitalized, 237 00:14:25,720 --> 00:14:30,520 Speaker 1: many of them are hospitalized with COVID as opposed to 238 00:14:30,560 --> 00:14:34,760 Speaker 1: because of COVID. And what we mean by that if 239 00:14:34,760 --> 00:14:37,920 Speaker 1: a child goes in the hospital, they automatically get tested 240 00:14:37,920 --> 00:14:43,520 Speaker 1: for COVID and they get counted as a COVID hospitalized individual, 241 00:14:44,040 --> 00:14:46,640 Speaker 1: when in fact they may go in for a broken 242 00:14:46,760 --> 00:14:52,080 Speaker 1: leg or appendicitis or something like that. So it's overcounting 243 00:14:52,480 --> 00:14:57,080 Speaker 1: the number of children who are quote hospitalized with COVID 244 00:14:57,400 --> 00:15:02,000 Speaker 1: as opposed to be couse of COVID. Phil, There's been 245 00:15:02,040 --> 00:15:04,960 Speaker 1: a lot about recently, in recent weeks them coming around 246 00:15:04,960 --> 00:15:07,200 Speaker 1: and saying things that people like you were saying from 247 00:15:07,240 --> 00:15:09,720 Speaker 1: the beginning. My question is not specifically what he just 248 00:15:09,760 --> 00:15:12,480 Speaker 1: said there, but why why are they Why are we 249 00:15:12,480 --> 00:15:15,360 Speaker 1: just now hearing mainstream sites say, hey, you should probably 250 00:15:15,360 --> 00:15:17,240 Speaker 1: lose weight if you're obese, it's going to hurt you. 251 00:15:17,400 --> 00:15:19,600 Speaker 1: Why are we hearing doctor Fauci say things like that? 252 00:15:19,640 --> 00:15:21,480 Speaker 1: Why the shift? Now? Why do they all sound like 253 00:15:21,480 --> 00:15:24,320 Speaker 1: Phil Kirp and all of a sudden, Well Jesse, For 254 00:15:24,560 --> 00:15:27,000 Speaker 1: first of all, it wasn't It is incredible to see 255 00:15:27,000 --> 00:15:29,560 Speaker 1: Fauci say that, after all summer long, they were pretending 256 00:15:29,600 --> 00:15:33,400 Speaker 1: every child hospitalization in the South was because of you know, evil, 257 00:15:33,520 --> 00:15:36,160 Speaker 1: bad COVID behavior and that they deserved it and all 258 00:15:36,160 --> 00:15:38,160 Speaker 1: this kind of stuff, when we knew that it was 259 00:15:38,200 --> 00:15:41,080 Speaker 1: because of a very large, out of season RSV wave 260 00:15:41,160 --> 00:15:43,320 Speaker 1: that was filling the hospitals, and they would never say it, 261 00:15:43,360 --> 00:15:45,640 Speaker 1: they would never admit it, they would never report it. Now, 262 00:15:45,640 --> 00:15:47,760 Speaker 1: when you have children's hospitals filling up in the North, 263 00:15:48,120 --> 00:15:50,120 Speaker 1: they say, oh wait, no, it's because of the way 264 00:15:50,160 --> 00:15:52,960 Speaker 1: we do the data, it's inaccurate. After spending the whole 265 00:15:52,960 --> 00:15:57,160 Speaker 1: summer sneering and attacking the South for precisely the same issue. Look, 266 00:15:57,200 --> 00:15:59,320 Speaker 1: and I think fundamentally that's why they're coming around on 267 00:15:59,360 --> 00:16:02,000 Speaker 1: so many of these issues, because you know, when you 268 00:16:02,040 --> 00:16:04,480 Speaker 1: have a Southern wave, it's very easy to say it's 269 00:16:04,480 --> 00:16:07,440 Speaker 1: bad behavior, it's not enough vaccination, it's bad policies from 270 00:16:07,480 --> 00:16:11,640 Speaker 1: these governors we don't like. But when the extremely vaccinated, 271 00:16:11,760 --> 00:16:17,520 Speaker 1: extremely masked, extremely vaxed, passported North has record case numbers 272 00:16:17,560 --> 00:16:21,960 Speaker 1: and record hospitalizations, then you need to actually explain what's 273 00:16:22,000 --> 00:16:24,840 Speaker 1: deceptive about those numbers and make excuses for it, because 274 00:16:24,880 --> 00:16:27,680 Speaker 1: the alternative is admitting that all the policies that you've 275 00:16:27,720 --> 00:16:30,360 Speaker 1: been pushing are actually ineffective, and they don't want to 276 00:16:30,360 --> 00:16:33,480 Speaker 1: do that, And so they're finally at least admitting that 277 00:16:33,520 --> 00:16:37,520 Speaker 1: a lot of the data is inaccurate. Phil Are we 278 00:16:37,640 --> 00:16:41,240 Speaker 1: finally at the place where politicians they're going to start 279 00:16:41,240 --> 00:16:43,920 Speaker 1: worrying about paying a political price, because let's be honest, 280 00:16:44,000 --> 00:16:45,640 Speaker 1: up to this point in time, they have not. I mean, 281 00:16:45,680 --> 00:16:49,680 Speaker 1: Gavin Newsom wins his recall, obviously still a Democratic mayor, 282 00:16:49,680 --> 00:16:52,600 Speaker 1: of New York City, that there's a race after race 283 00:16:52,640 --> 00:16:55,680 Speaker 1: after race. They haven't really paid a political advice or 284 00:16:55,680 --> 00:16:58,240 Speaker 1: a price for it. People point out Virginia that was 285 00:16:58,280 --> 00:17:01,000 Speaker 1: an education thing, that was not a thing. Are they 286 00:17:01,040 --> 00:17:03,720 Speaker 1: starting to finally get nervous? I think that COVID was 287 00:17:03,760 --> 00:17:06,600 Speaker 1: an aspect of the education backlash in Virginia. You're right, 288 00:17:06,600 --> 00:17:08,679 Speaker 1: it was a lot broader than that. But certainly the 289 00:17:08,720 --> 00:17:10,560 Speaker 1: fact that schools were closed as long as there were 290 00:17:10,640 --> 00:17:13,080 Speaker 1: was a lot of the reason that parents were so angry. 291 00:17:13,080 --> 00:17:15,560 Speaker 1: And I also think, you know, the Zoom school is 292 00:17:15,560 --> 00:17:17,800 Speaker 1: how parents found out a lot of the insane critical 293 00:17:17,880 --> 00:17:19,560 Speaker 1: race there and others that they were going on because 294 00:17:19,560 --> 00:17:21,840 Speaker 1: they could look over their kid's shoulder and it was 295 00:17:21,880 --> 00:17:23,560 Speaker 1: sort of like, wait a second, what's been going on 296 00:17:23,680 --> 00:17:25,560 Speaker 1: in the classroom. So I don't think it was unrelated. 297 00:17:25,600 --> 00:17:27,120 Speaker 1: I think it was sort of one of the ingredients 298 00:17:27,119 --> 00:17:29,359 Speaker 1: in that. But the race that I really point to 299 00:17:29,480 --> 00:17:31,760 Speaker 1: that I think is a remarkable evidence that there is 300 00:17:31,760 --> 00:17:34,800 Speaker 1: a very strong political COVID backlash is in South Jersey, 301 00:17:35,240 --> 00:17:39,080 Speaker 1: where the state Senate President Steve Sweeney, who was unbeatable 302 00:17:39,200 --> 00:17:41,600 Speaker 1: bulletproof as recently as a couple of cycles ago, when 303 00:17:41,640 --> 00:17:44,439 Speaker 1: millions and millions of dollars were spent against him. He 304 00:17:44,520 --> 00:17:46,920 Speaker 1: lost to a guy named Edward Doer, who's a truck driver, 305 00:17:47,040 --> 00:17:49,159 Speaker 1: spent about one hundred fifty bucks in the primary and 306 00:17:49,200 --> 00:17:51,960 Speaker 1: two grand in the general. And his whole thing was 307 00:17:52,000 --> 00:17:54,400 Speaker 1: how crazy the COVID lockdowns were and that nobody sit 308 00:17:54,480 --> 00:17:56,520 Speaker 1: up to the governor and that Sweeney should have. And 309 00:17:56,600 --> 00:17:58,600 Speaker 1: so yeah, the governor's race came up a little short, 310 00:17:58,640 --> 00:18:01,440 Speaker 1: which was especially disappointed and given how bad that governor's been. 311 00:18:02,359 --> 00:18:05,439 Speaker 1: But the South Jersey backlash was huge. School board races 312 00:18:05,920 --> 00:18:09,600 Speaker 1: all over the country were huge, and you know, I 313 00:18:09,640 --> 00:18:11,240 Speaker 1: do think that we're going to see a lot of 314 00:18:11,240 --> 00:18:13,600 Speaker 1: follow on. There are a lot more places obviously that 315 00:18:13,760 --> 00:18:15,600 Speaker 1: have elections this year than last year because it's an 316 00:18:15,600 --> 00:18:20,119 Speaker 1: odd numbered year. And you know, look, obviously there's some 317 00:18:20,160 --> 00:18:21,840 Speaker 1: places where it's going to be very hard for them 318 00:18:21,880 --> 00:18:24,040 Speaker 1: to do what they probably need to do to end 319 00:18:24,040 --> 00:18:27,280 Speaker 1: the COVID craziness, which is probably elect Republicans. I mean, 320 00:18:27,320 --> 00:18:29,320 Speaker 1: it's New York City's probably not going to do it. 321 00:18:29,520 --> 00:18:31,320 Speaker 1: A lot of other places that probably just don't have 322 00:18:31,400 --> 00:18:33,199 Speaker 1: it in them, given how far left they are. But 323 00:18:33,680 --> 00:18:35,359 Speaker 1: you know, you've got a lot of places in the 324 00:18:35,400 --> 00:18:38,359 Speaker 1: center and even pretty far and maybe halfway to New 325 00:18:38,480 --> 00:18:40,440 Speaker 1: York City in terms of you know, kind of left 326 00:18:40,480 --> 00:18:42,280 Speaker 1: wing on the spectrum that are going to have backlash 327 00:18:42,280 --> 00:18:44,240 Speaker 1: and that are going to elect Republicans because you've got 328 00:18:44,240 --> 00:18:47,000 Speaker 1: people who are lifelong liberals tearing their hair out, saying 329 00:18:47,000 --> 00:18:49,280 Speaker 1: when does this all end? When does this all end? 330 00:18:49,320 --> 00:18:52,040 Speaker 1: Other than doing the unthinkable and electing Republicans. And so 331 00:18:52,359 --> 00:18:53,800 Speaker 1: I do think there's going to be a lot of 332 00:18:53,800 --> 00:18:56,920 Speaker 1: political backlash if these guys don't sort of straighten themselves out. 333 00:18:56,960 --> 00:18:59,560 Speaker 1: And I think Democrats know that, Jesse. That's why you 334 00:18:59,560 --> 00:19:02,359 Speaker 1: have some like the governor of Colorado, Jared Polis, who's 335 00:19:02,359 --> 00:19:06,360 Speaker 1: differentiating himself from other Democrats by basically saying, look, if 336 00:19:06,359 --> 00:19:08,760 Speaker 1: you're vaccinated, you've done everything you can do. Go back 337 00:19:08,760 --> 00:19:10,440 Speaker 1: to normal life. We're not going to shut things down, 338 00:19:10,480 --> 00:19:12,840 Speaker 1: lock things down, closed schools, or mandate anything else at 339 00:19:12,840 --> 00:19:16,480 Speaker 1: this point. And frankly, he's put himself into the Democratic 340 00:19:16,480 --> 00:19:20,159 Speaker 1: presidential discussion just by doing that, in my opinion, so 341 00:19:20,240 --> 00:19:23,120 Speaker 1: I think even on the left, a lot of people 342 00:19:23,119 --> 00:19:27,399 Speaker 1: are reaching their breaking point with all of this. Phil 343 00:19:27,880 --> 00:19:30,040 Speaker 1: there were a lot of covid lies obviously, that's what 344 00:19:30,080 --> 00:19:32,000 Speaker 1: I'm doing my entire show on right now with the 345 00:19:32,040 --> 00:19:35,480 Speaker 1: covid lies that were told. But honestly, maybe the big 346 00:19:35,480 --> 00:19:38,800 Speaker 1: one for me was what they said when they were 347 00:19:38,840 --> 00:19:41,760 Speaker 1: trying to get everyone to take the vaccine of once 348 00:19:41,800 --> 00:19:44,960 Speaker 1: you get the vaccine, you will not get coronavirus, you 349 00:19:45,000 --> 00:19:48,040 Speaker 1: will not spread coronavirus. Here's a little riff from the 350 00:19:48,160 --> 00:19:53,200 Speaker 1: very own Rachel Maddow. Now we know that the vaccines 351 00:19:53,240 --> 00:19:58,080 Speaker 1: work well enough that the virus stops with every vaccinated 352 00:19:58,119 --> 00:20:01,760 Speaker 1: person a vaccinate, that person gets exposed to the virus, 353 00:20:03,440 --> 00:20:06,680 Speaker 1: the virus does not infect them. The virus cannot then 354 00:20:06,960 --> 00:20:12,080 Speaker 1: use that person to go anywhere else. Phil, I'm actually 355 00:20:12,119 --> 00:20:14,520 Speaker 1: not just picking on Rachel matt out for once, that 356 00:20:14,760 --> 00:20:17,800 Speaker 1: was the word, That was the official word that was 357 00:20:17,840 --> 00:20:21,399 Speaker 1: put out from source after source after source after source. Now, 358 00:20:21,800 --> 00:20:27,000 Speaker 1: how could so many supposedly smart people get something so wrong? Well, 359 00:20:27,280 --> 00:20:29,159 Speaker 1: I think it was the triumph of wish we'll thinking 360 00:20:29,160 --> 00:20:32,560 Speaker 1: over evidence, because the vaccine trials themselves didn't even look 361 00:20:32,560 --> 00:20:34,920 Speaker 1: at this question. They didn't look at the transmission effect 362 00:20:34,920 --> 00:20:37,199 Speaker 1: at all. They looked at symptomatic disease, and that was 363 00:20:37,240 --> 00:20:40,320 Speaker 1: the standard that they used in order to get their authorizations, 364 00:20:40,320 --> 00:20:43,240 Speaker 1: and so to make these promises, in these claims that 365 00:20:43,440 --> 00:20:48,240 Speaker 1: were never even tested in the trials was I think, 366 00:20:48,440 --> 00:20:52,119 Speaker 1: you know, you know, the non cynical explanation, as they 367 00:20:52,119 --> 00:20:53,800 Speaker 1: were wrong, they wanted to believe it, they hoped it 368 00:20:53,840 --> 00:20:56,040 Speaker 1: would be true, and it wasn't true. The cynical explanation 369 00:20:56,200 --> 00:20:58,920 Speaker 1: is they were willing to say anything to promote this thing. 370 00:20:59,080 --> 00:21:01,760 Speaker 1: And so, you know, I think, depending on the day, 371 00:21:01,840 --> 00:21:03,800 Speaker 1: I might come down on either side of that. But 372 00:21:03,840 --> 00:21:07,760 Speaker 1: the bottom line is the vaccine was vastly overpromised in 373 00:21:07,800 --> 00:21:10,879 Speaker 1: what it could accomplish, and you know, I think that 374 00:21:11,240 --> 00:21:14,680 Speaker 1: that led to a lot of sort of cognitive dissonance 375 00:21:14,720 --> 00:21:16,480 Speaker 1: are a lot of people, I mean, you know. And 376 00:21:16,880 --> 00:21:20,240 Speaker 1: also I think it made the summer really really outrageous 377 00:21:20,280 --> 00:21:24,240 Speaker 1: in retrospect, because yet all of these national media figures 378 00:21:24,520 --> 00:21:27,959 Speaker 1: smearing and attacking these Southern states, including by the way, Florida, 379 00:21:28,000 --> 00:21:29,960 Speaker 1: which had a very high vaccination rate, but they just 380 00:21:30,040 --> 00:21:32,400 Speaker 1: lied and said, oh, they must not have much vaccine 381 00:21:32,400 --> 00:21:35,240 Speaker 1: because they're having this bad COVID wave. And it turned 382 00:21:35,240 --> 00:21:38,040 Speaker 1: out that mass vaccination does not prevent waves at all, 383 00:21:38,240 --> 00:21:43,160 Speaker 1: as we're now seeing in the North. About that, Phil Kirpott, 384 00:21:43,160 --> 00:21:44,560 Speaker 1: thank you so much for giving us some time. Man, 385 00:21:44,600 --> 00:21:50,400 Speaker 1: appreciate you my pleasure of ever going. All right, we'll 386 00:21:50,440 --> 00:22:06,439 Speaker 1: be back. Joining me now is doctor Omar Hamada. He 387 00:22:06,560 --> 00:22:09,680 Speaker 1: is an MD, former Lieutenant colonel US Army as well 388 00:22:10,400 --> 00:22:16,000 Speaker 1: doctor with COVID and from COVID. It seems like about 389 00:22:16,000 --> 00:22:19,119 Speaker 1: fifteen minutes into this pandemic some of us were saying, okay, 390 00:22:19,119 --> 00:22:21,800 Speaker 1: well are people dying from it or are they dying 391 00:22:21,840 --> 00:22:24,919 Speaker 1: with it? And all that was dismissed as if it 392 00:22:25,000 --> 00:22:27,760 Speaker 1: was ridiculous. And look, you're the doctor, I'm an idiot. 393 00:22:28,119 --> 00:22:31,280 Speaker 1: Is that normal for a disease? Well, it's not normal 394 00:22:31,280 --> 00:22:34,600 Speaker 1: for the disease, for any disease really, And actually that's 395 00:22:34,600 --> 00:22:36,520 Speaker 1: been a question that we've been trying to address since 396 00:22:36,520 --> 00:22:39,320 Speaker 1: the very beginning of this pandemic two years ago. You know, 397 00:22:39,480 --> 00:22:43,960 Speaker 1: has it been with COVID or from COVID. Initially, even 398 00:22:44,000 --> 00:22:47,320 Speaker 1: anyone with COVID or even suspected COVID before we had 399 00:22:47,320 --> 00:22:49,640 Speaker 1: the tests and before we were able to prove whether 400 00:22:49,720 --> 00:22:52,560 Speaker 1: or not someone had it, the assumptions were being made 401 00:22:52,560 --> 00:22:55,159 Speaker 1: that just because they might even have COVID, they were 402 00:22:55,200 --> 00:22:58,480 Speaker 1: being listed as dying from COVID. Many of us were 403 00:22:58,480 --> 00:23:02,520 Speaker 1: pushing back against that because it's not accurate, and it's misleading, 404 00:23:02,680 --> 00:23:07,199 Speaker 1: and it scares people needlessly. Although I will say we 405 00:23:07,320 --> 00:23:10,960 Speaker 1: have I will say go ahead to real disease, and 406 00:23:11,040 --> 00:23:13,160 Speaker 1: it causes real death, as we all know. And it's 407 00:23:13,200 --> 00:23:17,560 Speaker 1: serious when it tends to cause bad disease. But it's 408 00:23:17,600 --> 00:23:21,160 Speaker 1: not as widespread as I think we were initially led 409 00:23:21,200 --> 00:23:25,000 Speaker 1: to believe, you know, with you know, twenty percent people 410 00:23:25,160 --> 00:23:27,159 Speaker 1: dying from it, I think it's right now the numbers 411 00:23:27,160 --> 00:23:32,720 Speaker 1: about one percent. We have New York's Governor Kathy Hokel 412 00:23:32,800 --> 00:23:36,080 Speaker 1: coming out and essentially saying what people like you have 413 00:23:36,160 --> 00:23:39,560 Speaker 1: been saying from the beginning. Here she is. But we 414 00:23:39,600 --> 00:23:44,920 Speaker 1: talked about the hospitalzations. I have always wondered, we're looking 415 00:23:44,960 --> 00:23:47,680 Speaker 1: at the hospitalations of people testing positive in a hospital. 416 00:23:48,560 --> 00:23:51,800 Speaker 1: Is that person in the hospital because of COVID or 417 00:23:51,800 --> 00:23:55,159 Speaker 1: did they show up there and are routinely tested and 418 00:23:55,280 --> 00:23:57,920 Speaker 1: showing positive and they may have been asymptomatic or even 419 00:23:57,960 --> 00:24:00,840 Speaker 1: just had the sniffles. Someone is in a car accident, 420 00:24:00,880 --> 00:24:04,000 Speaker 1: they go the emergency room, they test positive for COVID 421 00:24:04,000 --> 00:24:10,119 Speaker 1: while they're there, they're not they're being treated for COVID doctor, 422 00:24:10,640 --> 00:24:13,000 Speaker 1: you mentioned it's real. Obviously, that's something we all know 423 00:24:13,080 --> 00:24:15,280 Speaker 1: by this point in time. It's real, nasty little bug 424 00:24:15,320 --> 00:24:17,960 Speaker 1: and from what I understand, especially loss to taste and whatnot. 425 00:24:18,000 --> 00:24:21,760 Speaker 1: But who is at risk for it? Because we've we've 426 00:24:21,840 --> 00:24:25,320 Speaker 1: locked kids in their homes, normal healthy adults in their homes. 427 00:24:25,560 --> 00:24:28,320 Speaker 1: That are people seem to say, this thing attacks obese 428 00:24:28,359 --> 00:24:31,879 Speaker 1: people and attacks elderly people, especially those with comorbidities. But 429 00:24:32,119 --> 00:24:34,520 Speaker 1: who's at risk for this thing? Do I need to worry? 430 00:24:34,920 --> 00:24:37,000 Speaker 1: I think we all need to worry at some level, 431 00:24:37,000 --> 00:24:39,639 Speaker 1: But I wouldn't live in fear because I think everyone 432 00:24:39,760 --> 00:24:41,919 Speaker 1: is at risk and we really don't know exactly based 433 00:24:41,920 --> 00:24:45,840 Speaker 1: on genetics. But the ones at most risk are the elderly, 434 00:24:46,040 --> 00:24:50,680 Speaker 1: those with respiratory quote comorbidities like COPD or emphysema or asthma, 435 00:24:50,880 --> 00:24:54,240 Speaker 1: those with diabetes, those who are overweight, not just overweight, 436 00:24:54,240 --> 00:24:57,399 Speaker 1: but i'd say obese. So all those people are at 437 00:24:57,480 --> 00:25:01,160 Speaker 1: increased risk. However, there are many people who do get 438 00:25:01,160 --> 00:25:05,000 Speaker 1: it and suffer severely from it. There are others, you know, 439 00:25:05,400 --> 00:25:09,520 Speaker 1: friends of mine, who are otherwise healthy, who have significantly 440 00:25:09,520 --> 00:25:12,199 Speaker 1: been impaired or even died from it. But they are 441 00:25:12,400 --> 00:25:16,359 Speaker 1: less much less risk than those other groups that I 442 00:25:16,520 --> 00:25:22,720 Speaker 1: previously mentioned. Doctor, it seemed very early on as if 443 00:25:23,000 --> 00:25:26,119 Speaker 1: the panic was what was being pushed out there instead 444 00:25:26,160 --> 00:25:29,320 Speaker 1: of solutions out there. Again, I'm not a doctor. People 445 00:25:29,359 --> 00:25:32,120 Speaker 1: were bringing up other forms of treatment. Anyone who brought 446 00:25:32,200 --> 00:25:35,879 Speaker 1: up a sunshine and exercise was shouted down. It. Why 447 00:25:36,040 --> 00:25:39,320 Speaker 1: do you think that happened? It was very bizarre. Still, 448 00:25:39,359 --> 00:25:40,720 Speaker 1: when I think about it, I thought it was the 449 00:25:40,760 --> 00:25:44,120 Speaker 1: most bizarre thing how any potential treatment was shot down. 450 00:25:44,480 --> 00:25:47,240 Speaker 1: Getting healthier was shot down. It was just go home 451 00:25:47,240 --> 00:25:50,120 Speaker 1: and hide and be scared, right, you know, Jesse, that's 452 00:25:50,160 --> 00:25:53,000 Speaker 1: a great question, and it makes me wonder as well. 453 00:25:53,040 --> 00:25:56,399 Speaker 1: And what I come down on really is that there's 454 00:25:56,440 --> 00:25:59,120 Speaker 1: probably some ulterior motive and agenda that we all don't 455 00:25:59,160 --> 00:26:03,080 Speaker 1: still that we still all don't realize yet. We think 456 00:26:03,119 --> 00:26:06,160 Speaker 1: about it and we conspire about it, but there's got 457 00:26:06,160 --> 00:26:08,560 Speaker 1: to be something there that's not very clear. But it 458 00:26:08,600 --> 00:26:12,560 Speaker 1: seems like there's something socially destructive that somebody is trying 459 00:26:12,600 --> 00:26:17,359 Speaker 1: to advance. But secondly, I think, you know, it's been politicized, 460 00:26:17,400 --> 00:26:21,520 Speaker 1: heavily politicized, and depending on where you lean politically or 461 00:26:21,520 --> 00:26:24,920 Speaker 1: what your preferences are seems to determine where you come 462 00:26:24,960 --> 00:26:27,720 Speaker 1: down with regards to interpreting the science. And I don't 463 00:26:27,760 --> 00:26:31,280 Speaker 1: think either fringe, either side of the you know, either 464 00:26:31,359 --> 00:26:35,280 Speaker 1: fringe is going to really come down with real good science. 465 00:26:35,320 --> 00:26:36,800 Speaker 1: I think the science is going to be somewhere in 466 00:26:36,800 --> 00:26:39,119 Speaker 1: the middle where it's a real disease. It's something we 467 00:26:39,119 --> 00:26:41,680 Speaker 1: should worry about, but we shouldn't isolate. We shouldn't shut 468 00:26:41,720 --> 00:26:45,560 Speaker 1: down masters of limited benefit. Immunizations help, but it's not 469 00:26:45,600 --> 00:26:47,399 Speaker 1: the end all be all because they're a little leaky. 470 00:26:48,080 --> 00:26:49,720 Speaker 1: But we should be able to try some of these 471 00:26:50,480 --> 00:26:54,840 Speaker 1: different treatments, some of these alternative treatments that haven't been disproven. 472 00:26:54,920 --> 00:26:57,760 Speaker 1: But what we know is they don't cause harm, So 473 00:26:57,920 --> 00:27:00,400 Speaker 1: why not try them and see if there is some benefit. 474 00:27:01,040 --> 00:27:02,960 Speaker 1: Many people have found them. How about that? So I 475 00:27:03,000 --> 00:27:07,040 Speaker 1: don't know why we're being shut down about that. Speaking 476 00:27:07,080 --> 00:27:10,720 Speaker 1: of science, this is President Joe Biden saying this, there's 477 00:27:10,760 --> 00:27:16,119 Speaker 1: no excuse, no excuse for anyone being unvaccinated. This continues 478 00:27:16,119 --> 00:27:22,919 Speaker 1: to be a pandemic of the unvaccinated, pandemic of the unvaccinated. 479 00:27:22,960 --> 00:27:24,360 Speaker 1: I hear that line a lot. I hear it from 480 00:27:24,359 --> 00:27:27,639 Speaker 1: the President. I now hear from other world leaders, pandemic 481 00:27:27,680 --> 00:27:31,399 Speaker 1: of the unvaccinated? Doctor? Is this a pandemic of the unvaccinated? No, 482 00:27:31,480 --> 00:27:34,840 Speaker 1: it's pandemic of everyone. Those who have been vaccinated are 483 00:27:34,880 --> 00:27:39,040 Speaker 1: still able to acquire the virus and get ill from 484 00:27:39,080 --> 00:27:41,880 Speaker 1: it and transmit it, not to the same levels as 485 00:27:41,920 --> 00:27:46,000 Speaker 1: those who aren't vaccinated. But it shouldn't be a mandate. 486 00:27:46,040 --> 00:27:48,560 Speaker 1: It should be a choice based on a person's desires 487 00:27:48,600 --> 00:27:50,640 Speaker 1: and their health and what they want to put into 488 00:27:50,680 --> 00:27:53,280 Speaker 1: their bodies. And we should have the other alternative frequens 489 00:27:53,600 --> 00:27:59,600 Speaker 1: available to us if we don't want to get vaccinated. Doctor. Finally, 490 00:28:00,040 --> 00:28:01,919 Speaker 1: natural immunity. I mean, I hate to bring up a 491 00:28:01,960 --> 00:28:06,679 Speaker 1: word that is apparently not in fashion anymore, but natural immunity. 492 00:28:06,760 --> 00:28:08,719 Speaker 1: What is it? Why don't we talk about it? Can 493 00:28:08,720 --> 00:28:11,320 Speaker 1: you explain please for those who don't know. Sure, natural 494 00:28:11,320 --> 00:28:15,080 Speaker 1: immunity is just the way our body reacts to diseases, 495 00:28:15,240 --> 00:28:17,800 Speaker 1: and it's much more robust than what we can gain 496 00:28:17,880 --> 00:28:21,520 Speaker 1: from even in immunization. For example, those two mRNA vaccines, 497 00:28:21,560 --> 00:28:25,480 Speaker 1: the fiser maderna, they're formed against that single spike protein 498 00:28:25,720 --> 00:28:29,440 Speaker 1: in the coronavirus coat on the outside, but they don't 499 00:28:29,440 --> 00:28:32,240 Speaker 1: include the other three proteins in the code, the membrane protein, 500 00:28:32,320 --> 00:28:35,280 Speaker 1: the envelop protein, the nuclear capsure protein that holds the 501 00:28:35,359 --> 00:28:39,520 Speaker 1: virus's RNA, but our internal defenses when it sees that 502 00:28:39,640 --> 00:28:42,360 Speaker 1: virus itself, it's going to react against all those. So 503 00:28:42,400 --> 00:28:45,160 Speaker 1: our natural immunity is much more robust, much more longer 504 00:28:45,240 --> 00:28:48,600 Speaker 1: lasting forms memory T cells and B cells and plasma 505 00:28:48,640 --> 00:28:51,080 Speaker 1: cells that hide even in the bone marrow, and the 506 00:28:51,160 --> 00:28:55,720 Speaker 1: immunization doesn't do that to that extent. It provides antibody response, 507 00:28:56,120 --> 00:28:58,920 Speaker 1: but not so much of a robust complete immune system 508 00:28:58,960 --> 00:29:05,000 Speaker 1: responds as natural unity does. Doctor, what's the worst COVID 509 00:29:05,120 --> 00:29:10,520 Speaker 1: lie you've seen? Wow, that's a great question. Um. I 510 00:29:10,560 --> 00:29:13,560 Speaker 1: think probably the worst is that even those who had 511 00:29:13,640 --> 00:29:17,600 Speaker 1: COVID who have natural immunity need the full immunization profile, 512 00:29:17,680 --> 00:29:20,680 Speaker 1: including boosters. I think that's the worst because if you 513 00:29:20,720 --> 00:29:24,320 Speaker 1: have natural immunity from natural from from naturally acquiring the 514 00:29:24,400 --> 00:29:30,440 Speaker 1: disease and fighting it, you don't need the immunization. Doctor, 515 00:29:30,480 --> 00:29:32,120 Speaker 1: thank you so much for making a smarter than I 516 00:29:32,160 --> 00:29:37,920 Speaker 1: appreciate it. Thanks appreciate it. Jesse. Michael Sanger joins us 517 00:29:37,920 --> 00:29:39,880 Speaker 1: next to talk about something we're not supposed to bring 518 00:29:39,960 --> 00:29:55,280 Speaker 1: up with COVID China hang on. Joining me now is 519 00:29:55,320 --> 00:29:59,080 Speaker 1: Michael Sanger. He's the author of Snake Oil, How Jijing 520 00:29:59,280 --> 00:30:02,640 Speaker 1: Ping shut Down the World? And actually, Michael, that's where 521 00:30:02,640 --> 00:30:05,479 Speaker 1: we're going to go first and foremost. Here. There's so 522 00:30:05,560 --> 00:30:08,120 Speaker 1: much talk about COVID now, right, I mean, it's every 523 00:30:08,160 --> 00:30:10,640 Speaker 1: single news stories and ninety they are the news stories 524 00:30:10,680 --> 00:30:13,880 Speaker 1: COVID this and vaccines that in COVID, COVID, COVID, and 525 00:30:14,000 --> 00:30:18,360 Speaker 1: yet China hardly ever comes up. And I feel like 526 00:30:18,440 --> 00:30:21,360 Speaker 1: China should be a bigger deal, don't you. Absolutely. And 527 00:30:21,400 --> 00:30:23,760 Speaker 1: it's really, you know, it's the elephant in the room 528 00:30:24,000 --> 00:30:27,520 Speaker 1: with everything they say about COVID, because the entire overarching 529 00:30:27,600 --> 00:30:31,800 Speaker 1: narrative that you know, what really sets us apart, this 530 00:30:31,880 --> 00:30:35,160 Speaker 1: virus apart in the minds of the public and the 531 00:30:35,160 --> 00:30:38,560 Speaker 1: minds of policymakers, is that you have this supervirus a 532 00:30:40,520 --> 00:30:47,120 Speaker 1: that can be controlled bum And that's what they think 533 00:30:47,280 --> 00:30:50,720 Speaker 1: is different about this from ordinary respiratory viruses, cold viruses, 534 00:30:50,720 --> 00:30:53,880 Speaker 1: flu viruses, and that entire narrative. All of that comes 535 00:30:53,920 --> 00:30:56,560 Speaker 1: back to what we are told by China in the 536 00:30:56,680 --> 00:31:01,240 Speaker 1: very beginning of this crisis, back in January twenty twenty, 537 00:31:01,280 --> 00:31:02,760 Speaker 1: they said that, you know, they had all those fake 538 00:31:02,880 --> 00:31:06,000 Speaker 1: videos coming out of China that you have this supervirus 539 00:31:06,040 --> 00:31:08,160 Speaker 1: that apparently people are just falling down the streets, which 540 00:31:08,520 --> 00:31:10,520 Speaker 1: which of course never happened anywhere else in the world. 541 00:31:11,280 --> 00:31:13,560 Speaker 1: They said, this narrative of a supervirus, and I said, 542 00:31:13,600 --> 00:31:15,440 Speaker 1: you can control that because we had this lockdown in 543 00:31:15,480 --> 00:31:17,720 Speaker 1: Wuhan and through of course, through that two months walked 544 00:31:17,720 --> 00:31:19,960 Speaker 1: out of Wuhan. You know, they limited this virus from 545 00:31:20,240 --> 00:31:23,520 Speaker 1: all of China through all these trictotalitarian measures. That entire 546 00:31:23,640 --> 00:31:26,520 Speaker 1: narrative that you have the supervirus, which is unique because 547 00:31:26,520 --> 00:31:29,840 Speaker 1: it can be controlled through human behavior by importing these 548 00:31:29,880 --> 00:31:33,560 Speaker 1: totalitarian policies. All of that comes from China. So even 549 00:31:33,560 --> 00:31:38,960 Speaker 1: though China is you know, um conspicuously absent from all 550 00:31:39,000 --> 00:31:41,720 Speaker 1: of these discussions about COVID, which you know, like you said, 551 00:31:41,800 --> 00:31:44,560 Speaker 1: or you know, have the news on an even day, 552 00:31:45,040 --> 00:31:47,440 Speaker 1: it's always there in the subtext. It's always the elephant 553 00:31:47,440 --> 00:31:49,880 Speaker 1: in the room. Whenever people argue for more of these restrictions, 554 00:31:50,240 --> 00:31:51,880 Speaker 1: you know, you ask them where are they getting these 555 00:31:52,040 --> 00:31:54,920 Speaker 1: idea that this work? If you dig down enough, you 556 00:31:54,920 --> 00:31:57,240 Speaker 1: ask them a couple of questions and dig into their thinking. 557 00:31:57,320 --> 00:31:59,280 Speaker 1: It always comes back to China. I mean, you know, 558 00:31:59,400 --> 00:32:01,760 Speaker 1: this entire idea of a true lockdown more stricture has 559 00:32:01,840 --> 00:32:05,959 Speaker 1: always comes back to China. Michael, what do we believe 560 00:32:06,080 --> 00:32:10,960 Speaker 1: about China and where specifically the virus came from in China? 561 00:32:10,960 --> 00:32:12,960 Speaker 1: Because I'm old enough to remember they were trying to 562 00:32:13,000 --> 00:32:17,280 Speaker 1: tell us it came from a bowl of bat soup, right, yeah, Um, 563 00:32:17,320 --> 00:32:20,760 Speaker 1: that was the original story. The original party line coming 564 00:32:20,800 --> 00:32:22,920 Speaker 1: out of China was this idea that it came from 565 00:32:22,960 --> 00:32:25,880 Speaker 1: you know, a wet market and he had a pangulins 566 00:32:25,960 --> 00:32:28,280 Speaker 1: And of course, you know, because Chinese people, um like 567 00:32:28,400 --> 00:32:30,520 Speaker 1: the you know, weird stuff. This is you know, the 568 00:32:30,600 --> 00:32:35,200 Speaker 1: Chinese Communist Party itself telling us this that um that 569 00:32:35,400 --> 00:32:37,360 Speaker 1: you know created this virus. They came out of one 570 00:32:37,360 --> 00:32:39,600 Speaker 1: of their wet markets where they sell exoct not an 571 00:32:39,560 --> 00:32:43,840 Speaker 1: animals eat. I mean, that is absolutely ludicrous, but that 572 00:32:44,000 --> 00:32:46,880 Speaker 1: is the original line. Now. Of course, around that same time, 573 00:32:47,000 --> 00:32:49,720 Speaker 1: people immediately started they came up with this idea that okay, 574 00:32:49,760 --> 00:32:53,520 Speaker 1: well they're locking down Wuhan, who happens to be the 575 00:32:53,920 --> 00:32:57,560 Speaker 1: uh the site of you know, one of China's top 576 00:32:58,280 --> 00:33:02,200 Speaker 1: um viral a your lab, so we'll hunt Institute of Urology. 577 00:33:02,520 --> 00:33:05,040 Speaker 1: So of course, you know, around January February, rumors start 578 00:33:05,080 --> 00:33:07,040 Speaker 1: circulating that, you know, it might have come out of 579 00:33:07,080 --> 00:33:09,320 Speaker 1: this lab, this lab leak. But of course the official 580 00:33:09,360 --> 00:33:11,680 Speaker 1: party line coming out of China was, oh no, it 581 00:33:11,720 --> 00:33:13,680 Speaker 1: didn't leak out of our lab. They've stuck by that, 582 00:33:14,160 --> 00:33:18,280 Speaker 1: and um, you know, the Western elite media immediately adopted 583 00:33:18,280 --> 00:33:20,880 Speaker 1: that party line, saying that, oh no, it couldn't have 584 00:33:20,880 --> 00:33:22,520 Speaker 1: come out of that lab. You know, the CCP is 585 00:33:22,560 --> 00:33:24,120 Speaker 1: saying it couldn't come out of that lab, and we 586 00:33:24,160 --> 00:33:28,040 Speaker 1: trust the CCPs, so we're gonna censor anybody who says otherwise. 587 00:33:28,480 --> 00:33:31,200 Speaker 1: And so you had this back and forth that's happened 588 00:33:31,240 --> 00:33:33,720 Speaker 1: ever since for a couple of years, that oh, you know, no, 589 00:33:33,760 --> 00:33:36,160 Speaker 1: it's a supervirus that came out of this web market. No, 590 00:33:36,240 --> 00:33:39,320 Speaker 1: it's a supervirus that came out of this lab. Of course, 591 00:33:39,320 --> 00:33:41,960 Speaker 1: that is unresolved. But what we know now is there's 592 00:33:42,000 --> 00:33:44,440 Speaker 1: plenty of evidence to say that this virus is actually 593 00:33:44,520 --> 00:33:48,840 Speaker 1: circulating around Asia and even around the Western world. Early 594 00:33:48,880 --> 00:33:52,479 Speaker 1: in twenty nineteen, for you know, nearly a year before 595 00:33:52,600 --> 00:33:56,000 Speaker 1: the events of Wuhan, so Uhan's lockdown came after this 596 00:33:56,080 --> 00:33:58,440 Speaker 1: virus had already been circulating for nearly a year all 597 00:33:58,480 --> 00:34:02,560 Speaker 1: around the world, and were expected to believe that they 598 00:34:02,600 --> 00:34:05,040 Speaker 1: eliminated this virus from all of China. That is a 599 00:34:05,040 --> 00:34:07,280 Speaker 1: big lie here. I don't know if we're ever going 600 00:34:07,320 --> 00:34:09,560 Speaker 1: to get to the bottom of where this virus actually 601 00:34:09,600 --> 00:34:11,640 Speaker 1: came from, but really it could have come from anywhere 602 00:34:11,640 --> 00:34:14,719 Speaker 1: in Asia. Just started circulating around Juana is where we 603 00:34:14,719 --> 00:34:18,080 Speaker 1: happened to hear about it first, because that's the city 604 00:34:18,120 --> 00:34:20,719 Speaker 1: that shooting pains shut down, and we're expected to believe 605 00:34:20,760 --> 00:34:23,759 Speaker 1: that through his godlike powers, you know, he was able 606 00:34:23,760 --> 00:34:26,200 Speaker 1: to lock down and willed everybody in with his power 607 00:34:26,360 --> 00:34:28,280 Speaker 1: that you know, he was able to eliminate this virus 608 00:34:28,280 --> 00:34:31,040 Speaker 1: from all of China by doing that. So that is 609 00:34:31,040 --> 00:34:35,240 Speaker 1: the real absurdity here. You know, the back and forth 610 00:34:35,280 --> 00:34:38,840 Speaker 1: about the source of this virus, it really only further 611 00:34:38,920 --> 00:34:41,719 Speaker 1: reinforces this idea that's the supervirus that may have come 612 00:34:41,719 --> 00:34:43,560 Speaker 1: from a lab or maybe it came from a pangalona 613 00:34:43,640 --> 00:34:46,120 Speaker 1: or whatever, but it's not really a supervirus. There were 614 00:34:46,160 --> 00:34:51,319 Speaker 1: circulating a long time before that. Now, if we think 615 00:34:51,360 --> 00:34:55,520 Speaker 1: this virus was floating around Europe and Asia in two nineteen. 616 00:34:55,640 --> 00:34:59,640 Speaker 1: There clearly weren't any lockdown measures, no face masks, no vaccines, 617 00:34:59,760 --> 00:35:03,200 Speaker 1: no nothing. Why didn't we lose all of Europe? Why 618 00:35:03,280 --> 00:35:06,840 Speaker 1: wasn't this black flight Part two correct? Uh? Yeah, I 619 00:35:06,880 --> 00:35:10,839 Speaker 1: mean because it's not a supervirus. Because those whatever death 620 00:35:10,960 --> 00:35:14,200 Speaker 1: did happen from this coronavirus that was circulating around the 621 00:35:14,200 --> 00:35:17,240 Speaker 1: world in twenty nineteen, you know, it simply got lamped 622 00:35:17,280 --> 00:35:20,640 Speaker 1: in as ordinary respirator virus death is ordinary fluids and 623 00:35:20,760 --> 00:35:24,200 Speaker 1: ordinary cult deaths. And this was this occurred because they 624 00:35:24,280 --> 00:35:27,680 Speaker 1: really don't in countries that don't implement these restrictions. Not 625 00:35:27,719 --> 00:35:31,480 Speaker 1: only are the restrictions not effective, but when countries don't 626 00:35:31,480 --> 00:35:35,800 Speaker 1: implement them, they don't even see any excess deaths, any 627 00:35:36,000 --> 00:35:38,360 Speaker 1: large amount of excess deaths over what they saw in 628 00:35:38,480 --> 00:35:43,120 Speaker 1: prior years, because this virus just simply is not extraordinarily dangerous. Now, 629 00:35:43,120 --> 00:35:46,759 Speaker 1: it did become a dominant strain of respiratory virus, So 630 00:35:46,760 --> 00:35:49,560 Speaker 1: there is that kernel of truth in there, that coronavirus 631 00:35:49,560 --> 00:35:52,200 Speaker 1: became a sort of dominant strain of respiratory virus around 632 00:35:52,200 --> 00:35:54,600 Speaker 1: twenty nineteen twenty twenty, so they wrapped it in that 633 00:35:54,640 --> 00:35:56,279 Speaker 1: kernel of truth. But the idea that it is a 634 00:35:56,280 --> 00:35:59,320 Speaker 1: supervirus is simply a lie. It was a lie that 635 00:35:59,360 --> 00:36:02,200 Speaker 1: became so ingrained in the discourse of the entire world 636 00:36:02,280 --> 00:36:05,239 Speaker 1: around twenty twenty through those fake videos, through some of 637 00:36:05,239 --> 00:36:09,000 Speaker 1: these corrupt scientists and leaders who keep insisting that as 638 00:36:09,000 --> 00:36:11,640 Speaker 1: the supervirus. You know, that's still the official line among governments. 639 00:36:12,000 --> 00:36:15,279 Speaker 1: It became so ingrained the elite narrative that you know, 640 00:36:15,320 --> 00:36:17,840 Speaker 1: it underlies all discourse about this virus, but it simply 641 00:36:18,000 --> 00:36:21,680 Speaker 1: is not. The official infection of fatality rate of the 642 00:36:21,800 --> 00:36:25,600 Speaker 1: virus has been adopted by the government of the United Kingdom. 643 00:36:25,640 --> 00:36:31,480 Speaker 1: That's been you know, explored within pure reviewed papers by 644 00:36:31,680 --> 00:36:37,120 Speaker 1: the world leading scientists John Ionitas, the most most side 645 00:36:37,160 --> 00:36:39,640 Speaker 1: of the session of the world. The infection of fatality 646 00:36:39,719 --> 00:36:42,200 Speaker 1: rate of this virus is around zero point one percent 647 00:36:43,400 --> 00:36:45,600 Speaker 1: zero point one percent. So for all that's across all 648 00:36:45,640 --> 00:36:48,200 Speaker 1: age groups, the average chance of dying of this virus 649 00:36:48,360 --> 00:36:50,960 Speaker 1: is one in one thousands, that includes the elderly. That's 650 00:36:50,960 --> 00:36:53,839 Speaker 1: simply the average for all age groups. That's essentially just 651 00:36:54,000 --> 00:36:56,799 Speaker 1: like a normal flu. And we know that that's a 652 00:36:56,800 --> 00:37:00,920 Speaker 1: hard and fast fact. So all this this course about 653 00:37:00,920 --> 00:37:03,920 Speaker 1: this being a supervirus is simply wrong because we know 654 00:37:04,040 --> 00:37:06,919 Speaker 1: the infection of futility of this virus as absolutely zero 655 00:37:06,960 --> 00:37:09,960 Speaker 1: point one percent. It cannot possibly be anything else. That 656 00:37:10,080 --> 00:37:13,200 Speaker 1: is just an absolute fact. And m So all this 657 00:37:13,280 --> 00:37:17,880 Speaker 1: emotional you know, hysteria and this hysterical this course that 658 00:37:17,880 --> 00:37:21,799 Speaker 1: you're hearing about this virus is just wrong because the 659 00:37:21,880 --> 00:37:24,680 Speaker 1: virus simply is not a superress, is simply not that deadly. 660 00:37:24,719 --> 00:37:29,280 Speaker 1: It's just not you know, exceptional. Um, Michael, you wrote 661 00:37:29,280 --> 00:37:33,560 Speaker 1: the book Snake Oil and how Jesen Ping shut down 662 00:37:33,640 --> 00:37:36,640 Speaker 1: the world? But why did he shut down the world? 663 00:37:37,640 --> 00:37:41,759 Speaker 1: So it goes back to his entire vision. He comes 664 00:37:41,760 --> 00:37:45,600 Speaker 1: from a very hawkish circle within the Chinese Communist Party. 665 00:37:45,600 --> 00:37:47,760 Speaker 1: You know, his father was one of the original leaders 666 00:37:47,760 --> 00:37:51,880 Speaker 1: within Mao's revolution, and within this circle, this very hawkish circle, 667 00:37:53,840 --> 00:37:56,239 Speaker 1: his rise to power is essentially kind of a cue. 668 00:37:56,520 --> 00:37:58,279 Speaker 1: You know. He is, you know, now the dictator of 669 00:37:58,360 --> 00:38:01,120 Speaker 1: Chinese rules with absolute powers, the most powerful leader in 670 00:38:01,160 --> 00:38:03,560 Speaker 1: China with it since Mao Zedong, who was one of 671 00:38:03,560 --> 00:38:07,280 Speaker 1: the most ruthless tyrants of the twentieth century, who Shiation 672 00:38:07,360 --> 00:38:11,759 Speaker 1: Ping of Myers. But he believes that capitalism communism cannot 673 00:38:11,800 --> 00:38:14,040 Speaker 1: coexist in the long term, that one of these system 674 00:38:14,160 --> 00:38:17,440 Speaker 1: is going to have to disappear in a fairly near future, 675 00:38:17,760 --> 00:38:19,960 Speaker 1: and of course he sees themselves as the representative of 676 00:38:20,000 --> 00:38:23,640 Speaker 1: the communist system, so he pictures the world's future as 677 00:38:23,680 --> 00:38:27,880 Speaker 1: being communist. Now. You know, as everyone is aware, since 678 00:38:28,080 --> 00:38:32,080 Speaker 1: COVID nineteen first appeared, the world has been importing these 679 00:38:32,800 --> 00:38:36,920 Speaker 1: essentially totalitarian policies from China, starting with lockdowns, and you 680 00:38:37,040 --> 00:38:39,960 Speaker 1: have mass mandates, and you have vaccine mandates. All of 681 00:38:39,960 --> 00:38:42,680 Speaker 1: these are just sort of these egregious human rights abuses 682 00:38:42,719 --> 00:38:46,040 Speaker 1: that are justified by this emergency. This idea of a supervirus. 683 00:38:46,719 --> 00:38:49,319 Speaker 1: Where did that idea of a supervirus justifying the state 684 00:38:49,400 --> 00:38:53,000 Speaker 1: of emergency come from? Obviously came from China. The information 685 00:38:53,040 --> 00:38:56,279 Speaker 1: we were getting from China with you know, the fake 686 00:38:56,400 --> 00:38:58,840 Speaker 1: videos of people falling dead, the idea this had like 687 00:38:58,920 --> 00:39:02,640 Speaker 1: a present fatality rate which is, you know, um what 688 00:39:03,000 --> 00:39:07,680 Speaker 1: like forty times higher than what it actually is. You know, 689 00:39:08,280 --> 00:39:10,520 Speaker 1: this fires who's just completely normal, But they spun this 690 00:39:10,719 --> 00:39:14,319 Speaker 1: entire propaganda campaign around it, and based on that, the 691 00:39:14,480 --> 00:39:17,640 Speaker 1: entire Western world has been importing all of these totalitarian 692 00:39:17,680 --> 00:39:20,440 Speaker 1: policies and suddenly starting to look a lot like China. 693 00:39:20,640 --> 00:39:23,160 Speaker 1: You know, people are getting forced to get vaccines. If 694 00:39:23,160 --> 00:39:25,080 Speaker 1: they don't, they can lose their jobs, they can lose 695 00:39:25,120 --> 00:39:28,839 Speaker 1: their rights. Of where we have masks on shoulder? Now, 696 00:39:28,880 --> 00:39:32,160 Speaker 1: schools or forcing kids or you know, highly recommending kids, 697 00:39:32,160 --> 00:39:36,280 Speaker 1: where n ninety five masks. It's just as the insanity 698 00:39:36,320 --> 00:39:38,920 Speaker 1: grows by the day. It's one step that, one step forward, 699 00:39:38,960 --> 00:39:41,600 Speaker 1: two steps back. Yeah, and ninety five masks are not 700 00:39:41,719 --> 00:39:45,279 Speaker 1: made to be lorn for one time by anyone or hazards. 701 00:39:45,640 --> 00:39:48,319 Speaker 1: You know you's training to wear them. And now you 702 00:39:48,360 --> 00:39:51,359 Speaker 1: know some schools within major blue cities are talking about 703 00:39:51,400 --> 00:39:53,520 Speaker 1: putting them on four year olds and six year olds. 704 00:39:53,600 --> 00:39:59,080 Speaker 1: I mean, this is terrifying. Michael Sanger, the book is 705 00:39:59,080 --> 00:40:01,279 Speaker 1: Snake Oil. Thank you so much, but brother, I appreciate it. 706 00:40:01,400 --> 00:40:06,480 Speaker 1: Thank you. Jesse. Coming up next, we got final thoughts. 707 00:40:06,760 --> 00:40:22,919 Speaker 1: Hang on, we are entering a different era. Now. It's 708 00:40:22,920 --> 00:40:24,440 Speaker 1: going to be an era different than the one you 709 00:40:24,480 --> 00:40:26,200 Speaker 1: grew up and no matter how old you are, one 710 00:40:26,239 --> 00:40:28,600 Speaker 1: different than your parents grew up and then your grandparents. 711 00:40:28,600 --> 00:40:31,319 Speaker 1: And this is what I mean. We're entering an era 712 00:40:31,480 --> 00:40:37,000 Speaker 1: where the communists, both American Communists and Chinese communists, they 713 00:40:37,040 --> 00:40:42,000 Speaker 1: control vast quantities of everything. Your eyes see in your ears. 714 00:40:42,120 --> 00:40:45,759 Speaker 1: Here they simply do. We're entering an era where you're 715 00:40:45,880 --> 00:40:49,200 Speaker 1: going to have to accept none of what you see 716 00:40:49,280 --> 00:40:53,280 Speaker 1: is real. Everything they tell you is a lie. They lie, 717 00:40:53,320 --> 00:40:55,279 Speaker 1: and then they lie about the lies, and then they 718 00:40:55,320 --> 00:40:57,759 Speaker 1: lie about lying about the lies. And then they'll tell 719 00:40:57,800 --> 00:40:59,719 Speaker 1: you an idiot for asking for the tell you you're 720 00:40:59,719 --> 00:41:03,520 Speaker 1: an for asking for the truth. These people lie all 721 00:41:03,680 --> 00:41:07,359 Speaker 1: the time, and they're lying not just to lie. They're 722 00:41:07,480 --> 00:41:11,000 Speaker 1: lying with a purpose. They're lying because they attack your 723 00:41:11,080 --> 00:41:14,719 Speaker 1: way of life, not just with COVID, with everything they are. 724 00:41:15,320 --> 00:41:18,560 Speaker 1: They are coming after you and everything you believe. And 725 00:41:18,719 --> 00:41:22,359 Speaker 1: that's a fact. It's going to be an adjustment. Learn 726 00:41:22,440 --> 00:41:26,520 Speaker 1: to distrust everything you see and teach your children to 727 00:41:26,560 --> 00:41:29,799 Speaker 1: do the same. All right, we'll do it again