1 00:00:03,160 --> 00:00:07,280 Speaker 1: This is Red Pilled America. Hey, I'm Patrick Curlcy and. 2 00:00:07,200 --> 00:00:27,560 Speaker 2: I'm Adriana Cortez and this is Red Pilled America's famboogie. 3 00:00:29,480 --> 00:00:31,640 Speaker 1: You are listening to Red Pilled America's famboogie. You hope 4 00:00:31,640 --> 00:00:34,560 Speaker 1: the fanbam is doing well. Make sure you check out 5 00:00:34,560 --> 00:00:38,839 Speaker 1: Adrianna Jade's Instagram account. She's got some a lot of 6 00:00:38,880 --> 00:00:42,040 Speaker 1: advice over there for you ladies and something for the 7 00:00:42,040 --> 00:00:43,639 Speaker 1: man as well too, so go check it out. 8 00:00:43,640 --> 00:00:46,960 Speaker 2: Oh that's right, Patrick recently made an appearance as a model. 9 00:00:46,720 --> 00:00:48,960 Speaker 1: And I completely upstaged you. 10 00:00:51,280 --> 00:00:51,480 Speaker 3: Then. 11 00:00:51,880 --> 00:00:54,120 Speaker 1: We also would love it if you guys joined the 12 00:00:54,200 --> 00:00:57,640 Speaker 1: Fanbam red Pilled America dot com. Click Join in the 13 00:00:57,640 --> 00:01:00,480 Speaker 1: top of the menu. There's no storytelling show like ours 14 00:01:00,480 --> 00:01:04,759 Speaker 1: out there. There's a reason it's hard to produce storytelling shows. Also, 15 00:01:05,360 --> 00:01:09,280 Speaker 1: check out our YouTube videos. We've been creating video versions 16 00:01:09,400 --> 00:01:13,119 Speaker 1: of Red Pilled America and if you so are inclined, 17 00:01:13,319 --> 00:01:15,959 Speaker 1: you can clip it and share it on social media. 18 00:01:16,480 --> 00:01:19,240 Speaker 1: We need our fan bam to share the show as 19 00:01:19,360 --> 00:01:22,840 Speaker 1: much as possible because that's really the way that you 20 00:01:22,880 --> 00:01:24,880 Speaker 1: get the word out there on the show. So please 21 00:01:24,920 --> 00:01:28,240 Speaker 1: do that. And as I hope you guys have gotten 22 00:01:28,280 --> 00:01:32,560 Speaker 1: to listen to our communist episode. Has Communism Ever Worked? 23 00:01:33,280 --> 00:01:35,039 Speaker 1: I'm going to try not to get into too many 24 00:01:35,080 --> 00:01:38,319 Speaker 1: spoilers in this if you haven't heard it yet, but 25 00:01:39,959 --> 00:01:43,280 Speaker 1: it was a great It was an incredible story to 26 00:01:43,360 --> 00:01:47,279 Speaker 1: kind of research and socialism in general and the idea 27 00:01:47,319 --> 00:01:48,480 Speaker 1: of whether it's worked or not. 28 00:01:48,800 --> 00:01:50,400 Speaker 2: You know what I have to say. This was one 29 00:01:50,440 --> 00:01:52,800 Speaker 2: of those episodes where I learned a lot. I learned 30 00:01:52,800 --> 00:01:55,240 Speaker 2: a lot while we were doing it, and I always 31 00:01:55,480 --> 00:01:58,080 Speaker 2: enjoy when that happens because I clearly I know so much. 32 00:01:58,080 --> 00:01:59,240 Speaker 2: I have such a big, big brain. 33 00:01:59,280 --> 00:02:01,480 Speaker 1: You have a big brain. You know so much. You 34 00:02:01,520 --> 00:02:04,640 Speaker 1: remind me every day when I'm doing something wrong because 35 00:02:04,720 --> 00:02:07,760 Speaker 1: you have all the information. That is a it is 36 00:02:07,960 --> 00:02:11,200 Speaker 1: a it's we learned something. This isn't so much of 37 00:02:11,240 --> 00:02:14,160 Speaker 1: a spoiler. We learned about the hutter Ights, which I 38 00:02:14,200 --> 00:02:16,880 Speaker 1: did not know about, and it's a group that kind 39 00:02:16,880 --> 00:02:21,080 Speaker 1: of lives a socialist life here in the United States, 40 00:02:21,760 --> 00:02:23,959 Speaker 1: and so we go into their story and then we 41 00:02:24,080 --> 00:02:27,959 Speaker 1: go into kind of like different attempts at communal living 42 00:02:28,480 --> 00:02:30,359 Speaker 1: and come to a conclusion that I think you might 43 00:02:30,400 --> 00:02:34,320 Speaker 1: be surprised by, but I would say that it's this. 44 00:02:34,320 --> 00:02:36,160 Speaker 2: Spoiler alert, we are not communists. 45 00:02:36,320 --> 00:02:39,360 Speaker 1: We did not. I didn't suspect this even to really 46 00:02:39,360 --> 00:02:41,000 Speaker 1: be a topic at the time that we started doing 47 00:02:41,000 --> 00:02:43,840 Speaker 1: the research, but then it kind of exploded onto the 48 00:02:43,840 --> 00:02:46,400 Speaker 1: scene over the course of the last like three or 49 00:02:46,440 --> 00:02:48,679 Speaker 1: four weeks. And I think that has a lot to 50 00:02:48,720 --> 00:02:53,720 Speaker 1: do with with Mondami and is it mom Donnie, Mom, Donnie. 51 00:02:53,880 --> 00:02:56,919 Speaker 1: And you're starting to see a lot of people talk 52 00:02:56,960 --> 00:02:59,440 Speaker 1: about it now on the streets. I saw some videos 53 00:02:59,440 --> 00:03:02,120 Speaker 1: from Nick Shirley, who's that kind of on the street. 54 00:03:02,160 --> 00:03:04,640 Speaker 1: He's an investigator journalists that kind of broke this stuff 55 00:03:04,680 --> 00:03:09,240 Speaker 1: in in the Somali fraud, and he took to the 56 00:03:09,280 --> 00:03:15,240 Speaker 1: streets asking people whether they supported communism. And there's a couple, 57 00:03:15,440 --> 00:03:17,120 Speaker 1: you know, comments that I thought were kind of interesting. 58 00:03:17,120 --> 00:03:18,320 Speaker 1: I want to play a couple of clips for that 59 00:03:18,360 --> 00:03:18,880 Speaker 1: for you guys. 60 00:03:19,320 --> 00:03:21,440 Speaker 4: A woman, would you like them to be out in 61 00:03:21,440 --> 00:03:21,800 Speaker 4: the street? 62 00:03:22,200 --> 00:03:24,280 Speaker 5: I think my answer is yes, even though that's a 63 00:03:24,360 --> 00:03:25,720 Speaker 5: challenging answer to say. 64 00:03:26,040 --> 00:03:29,320 Speaker 1: He asked her if somebody had committed essay, I don't 65 00:03:29,320 --> 00:03:31,359 Speaker 1: want to use the words because all the algorithms don't 66 00:03:31,440 --> 00:03:35,960 Speaker 1: like that, but basically assaulted a woman. And he basically 67 00:03:35,960 --> 00:03:40,800 Speaker 1: asked this NYU student, if somebody assaulted you, would you 68 00:03:40,960 --> 00:03:43,200 Speaker 1: want that person out on the street free? And her 69 00:03:43,240 --> 00:03:45,240 Speaker 1: response was is, yeah, that's kind of a tough one 70 00:03:45,400 --> 00:03:45,880 Speaker 1: as a woman. 71 00:03:46,400 --> 00:03:48,440 Speaker 4: So if you got would you like your rapist to 72 00:03:48,440 --> 00:03:50,840 Speaker 4: be out in the street, Well. 73 00:03:50,200 --> 00:03:53,080 Speaker 5: Like, let me finish, because I have been and they 74 00:03:53,120 --> 00:03:55,280 Speaker 5: are out in the street, and I'm not sure like 75 00:03:55,360 --> 00:03:59,880 Speaker 5: them going to jail is a solution to like whatever's 76 00:03:59,920 --> 00:04:02,600 Speaker 5: going on inside their heart or even my own heart 77 00:04:02,640 --> 00:04:06,000 Speaker 5: that like contributed to that experience that I'm having, And 78 00:04:06,040 --> 00:04:08,640 Speaker 5: I don't want more people to get raped, but I 79 00:04:08,680 --> 00:04:12,680 Speaker 5: don't know for certain. And going into a jail in 80 00:04:12,720 --> 00:04:17,240 Speaker 5: the United States is going to shift anything inside of 81 00:04:17,279 --> 00:04:20,800 Speaker 5: their operating system so that they'll make a different choice again. 82 00:04:21,000 --> 00:04:23,360 Speaker 1: So that is a you know, the reason why that 83 00:04:23,400 --> 00:04:25,920 Speaker 1: came up is because that's one of the socialists policies 84 00:04:26,000 --> 00:04:28,360 Speaker 1: is they want to kind of free the prisons and 85 00:04:29,120 --> 00:04:32,200 Speaker 1: keep everything, you know, basically, don't jail people for wrongdoing. 86 00:04:32,680 --> 00:04:37,960 Speaker 1: Here's another person that was promoting communism to Nick Shirley 87 00:04:38,160 --> 00:04:38,760 Speaker 1: on the street. 88 00:04:38,920 --> 00:04:41,520 Speaker 4: Let's got on your laptop right here, says this machine 89 00:04:41,880 --> 00:04:44,479 Speaker 4: kills fascist. Yeah, right now, we have a rise of 90 00:04:44,480 --> 00:04:46,840 Speaker 4: communism here inside of America. What do you think about 91 00:04:46,839 --> 00:04:51,880 Speaker 4: the rise of communism Communism ideas socialists like ideas. The 92 00:04:51,960 --> 00:04:53,560 Speaker 4: DSA is very prominent nowadays. 93 00:04:53,600 --> 00:04:55,720 Speaker 6: I think it's a good thing. I mean, you're in 94 00:04:56,760 --> 00:05:00,400 Speaker 6: the home of Democratic Socialists and Greenwich Village. This is 95 00:05:00,440 --> 00:05:04,520 Speaker 6: where it began and where it's thrived, where it's been 96 00:05:04,839 --> 00:05:07,920 Speaker 6: thriving for over one hundred years. So this is the 97 00:05:07,920 --> 00:05:10,839 Speaker 6: home of it, and I hope it spreads through the country. 98 00:05:11,000 --> 00:05:13,400 Speaker 6: The more that we take care of each other, the 99 00:05:13,440 --> 00:05:15,039 Speaker 6: better we are collectively going to be. 100 00:05:15,200 --> 00:05:17,200 Speaker 4: Do you think if we tax the rich more will 101 00:05:17,200 --> 00:05:19,080 Speaker 4: have more resources to give out to those. 102 00:05:18,880 --> 00:05:23,279 Speaker 6: Then obviously it's so freaking stupid. The billionaires are not 103 00:05:23,400 --> 00:05:28,919 Speaker 6: paying taxes, and if they just paid their share, we 104 00:05:29,080 --> 00:05:32,720 Speaker 6: would have health care for all, for instance. 105 00:05:33,000 --> 00:05:34,360 Speaker 4: What do you think about for instance, A lot of 106 00:05:34,360 --> 00:05:36,200 Speaker 4: people say like, we need to tax the billionaires more, 107 00:05:36,400 --> 00:05:38,000 Speaker 4: But then we also see all this fraud that's taking 108 00:05:38,000 --> 00:05:39,520 Speaker 4: place here inside the United States. Do you think if 109 00:05:39,520 --> 00:05:41,760 Speaker 4: they just got rid of fraud, we'd have enough resources 110 00:05:41,800 --> 00:05:42,240 Speaker 4: for everyone. 111 00:05:42,800 --> 00:05:46,040 Speaker 6: Just because some thieves are stealing some stuff doesn't mean 112 00:05:46,279 --> 00:05:50,640 Speaker 6: that we should stop the system and stop taxing people 113 00:05:50,680 --> 00:05:54,960 Speaker 6: and stop helping people. Just because some people cheat doesn't 114 00:05:55,000 --> 00:05:56,560 Speaker 6: mean you should wipe out the system. 115 00:05:56,760 --> 00:06:00,080 Speaker 4: And since Zorn's taken office, there's been about a lot 116 00:06:00,080 --> 00:06:02,839 Speaker 4: of millionaires and billionaires have left the city. Now it's 117 00:06:03,040 --> 00:06:06,479 Speaker 4: I mean that there's like eleven billion dollars that will 118 00:06:06,480 --> 00:06:08,520 Speaker 4: no longer be able to get collected from taxes here 119 00:06:08,560 --> 00:06:09,280 Speaker 4: inside New York City. 120 00:06:09,320 --> 00:06:11,040 Speaker 1: Do you think by taxing the rich more people will 121 00:06:11,040 --> 00:06:11,800 Speaker 1: flee New York? 122 00:06:12,360 --> 00:06:15,360 Speaker 6: No, and I don't believe those numbers. Everybody wants to 123 00:06:15,360 --> 00:06:18,640 Speaker 6: be here, so there's no reason for them to leave. 124 00:06:19,080 --> 00:06:22,040 Speaker 1: So that guy was probably about a fifty year old guy. 125 00:06:21,839 --> 00:06:23,279 Speaker 2: From Greenwich Village. 126 00:06:24,200 --> 00:06:26,760 Speaker 1: Yeah. So, But the thing is is that people think 127 00:06:26,839 --> 00:06:31,520 Speaker 1: that this ideology can't come to the United States. But 128 00:06:32,360 --> 00:06:34,360 Speaker 1: and you hear it right there. They set up this 129 00:06:34,480 --> 00:06:37,880 Speaker 1: system to where it is the haves against the have nots, 130 00:06:38,440 --> 00:06:40,520 Speaker 1: the people that can't buy a house, can't pay for 131 00:06:40,560 --> 00:06:44,280 Speaker 1: their groceries against the billionaires that have multiple prop pieces 132 00:06:44,279 --> 00:06:48,800 Speaker 1: of property. And why not tax these people? They won't leave, 133 00:06:48,880 --> 00:06:50,960 Speaker 1: they'll put up with it, they'll pay their fair share. 134 00:06:51,520 --> 00:06:54,360 Speaker 1: Is this argument this guy is making. That's why it's 135 00:06:54,400 --> 00:06:58,080 Speaker 1: important to listen to our new episode on communism. Has 136 00:06:58,120 --> 00:07:01,880 Speaker 1: communism ever worked? Because I think we give a very 137 00:07:01,920 --> 00:07:05,320 Speaker 1: solid argument as to when it does and when it 138 00:07:05,360 --> 00:07:09,960 Speaker 1: doesn't work. And what it comes down to really is trust. 139 00:07:10,760 --> 00:07:14,280 Speaker 1: And if you asked that guide does he trust his government, 140 00:07:14,480 --> 00:07:17,800 Speaker 1: he would probably say no. If you don't trust your 141 00:07:17,840 --> 00:07:22,400 Speaker 1: government unconditionally, then communism and socialism can't work, and it 142 00:07:22,400 --> 00:07:25,320 Speaker 1: can't work for various other reasons, and we get into 143 00:07:25,320 --> 00:07:26,360 Speaker 1: that end of this episode. 144 00:07:26,480 --> 00:07:28,560 Speaker 2: Yeah, but there's no denying that it is spreading. I 145 00:07:28,560 --> 00:07:31,880 Speaker 2: mean it has arrived in New York with Mondamie and 146 00:07:31,920 --> 00:07:34,400 Speaker 2: you know, recently he did something that kind of I 147 00:07:34,400 --> 00:07:38,000 Speaker 2: think it blew our minds. He published the names. There's 148 00:07:38,000 --> 00:07:41,600 Speaker 2: a new tax for people that own second homes in 149 00:07:41,600 --> 00:07:45,360 Speaker 2: New York, and he actually he published their names. 150 00:07:45,400 --> 00:07:48,720 Speaker 1: He docked them, he docks them. And so basically, if 151 00:07:48,720 --> 00:07:51,760 Speaker 1: you have a second property that is over a certain 152 00:07:51,880 --> 00:07:56,360 Speaker 1: amount in value, but it's a new tax on second properties. 153 00:07:57,000 --> 00:08:00,520 Speaker 1: And people are blown away because they're getting this tax 154 00:08:00,560 --> 00:08:02,480 Speaker 1: now for fifty sixty thousand dollars. They have to go 155 00:08:02,520 --> 00:08:05,600 Speaker 1: online all this form and some people that it's their 156 00:08:05,640 --> 00:08:08,880 Speaker 1: primary residence and they're still getting this tax. 157 00:08:09,400 --> 00:08:12,400 Speaker 2: And how many of those people voted for him, I wonder. 158 00:08:12,160 --> 00:08:15,160 Speaker 1: Well, And that's the thing. We have these all of 159 00:08:15,200 --> 00:08:19,120 Speaker 1: these leftists in places like New York City that voted 160 00:08:19,760 --> 00:08:23,680 Speaker 1: these for these policies. They voted for open borders. We 161 00:08:23,760 --> 00:08:27,120 Speaker 1: are letting people in from these countries that have this 162 00:08:27,280 --> 00:08:30,960 Speaker 1: ideology in their country. This is what the Founders were 163 00:08:31,040 --> 00:08:35,559 Speaker 1: so afraid of. They were afraid of these foreign ideas 164 00:08:35,600 --> 00:08:39,760 Speaker 1: coming in and people not leaving them at the door. 165 00:08:40,400 --> 00:08:42,000 Speaker 1: And of course they're not going to leave them at 166 00:08:42,000 --> 00:08:44,240 Speaker 1: the door. They were raised in a certain culture, they 167 00:08:44,240 --> 00:08:47,360 Speaker 1: think a certain way, and then people wonder why do 168 00:08:47,440 --> 00:08:49,640 Speaker 1: they bring those ideas with them here to the United States. 169 00:08:49,760 --> 00:08:52,840 Speaker 1: We know people that move to other states because they 170 00:08:52,840 --> 00:08:57,040 Speaker 1: can't afford in a Democrat state, and so they moved 171 00:08:57,040 --> 00:08:59,120 Speaker 1: to a red state, but then they still end up voting. 172 00:08:59,200 --> 00:09:03,000 Speaker 1: But so, I mean, this is just it's a constant thing. 173 00:09:03,160 --> 00:09:08,199 Speaker 1: You're constantly seeing this ideology spread throughout the United States. 174 00:09:08,640 --> 00:09:11,040 Speaker 1: The only way to fight it, really you have to 175 00:09:11,160 --> 00:09:14,120 Speaker 1: stop it from coming in. And we get back to 176 00:09:14,160 --> 00:09:16,600 Speaker 1: this issue that we keep going to, and we've been 177 00:09:16,640 --> 00:09:19,560 Speaker 1: this has been like the one of the primary themes 178 00:09:19,559 --> 00:09:24,920 Speaker 1: of this show. Immigration. You must be hardcore sticklers on 179 00:09:25,000 --> 00:09:28,000 Speaker 1: immigration to stop these ideas from coming into the United States. 180 00:09:28,080 --> 00:09:31,400 Speaker 2: Yeah, I think people think that communism can't come to America, 181 00:09:31,520 --> 00:09:33,520 Speaker 2: But if you look around, you know, people are pretty 182 00:09:33,559 --> 00:09:38,120 Speaker 2: desperate and they can't afford a home. Groceries and gas 183 00:09:38,200 --> 00:09:41,520 Speaker 2: are are killing them, and people are getting desperate, and 184 00:09:41,520 --> 00:09:45,199 Speaker 2: they're going to start voting for it. I mean, look 185 00:09:45,200 --> 00:09:45,880 Speaker 2: at New York. 186 00:09:45,880 --> 00:09:49,760 Speaker 1: One hundred and I hope these people are starting to 187 00:09:49,760 --> 00:09:50,440 Speaker 1: get a feel for it. 188 00:09:50,440 --> 00:09:50,600 Speaker 7: Now. 189 00:09:50,600 --> 00:09:54,120 Speaker 1: In California, you're starting to see some rumbles now because 190 00:09:54,720 --> 00:09:57,720 Speaker 1: some of the influencers and celebrities are getting their houses 191 00:09:57,720 --> 00:09:58,280 Speaker 1: broken into. 192 00:09:58,440 --> 00:10:01,840 Speaker 2: Oh yeah, We've got a big, big influx of people 193 00:10:01,880 --> 00:10:04,280 Speaker 2: getting their homes broken into. All of the you know, 194 00:10:04,360 --> 00:10:08,560 Speaker 2: big celebrities. You know, doctor Phil's son is married to 195 00:10:08,640 --> 00:10:12,839 Speaker 2: this really huge podcaster, Morgan Stewart, big influencer. They were 196 00:10:12,840 --> 00:10:17,960 Speaker 2: recently robbed. I mean, so many celebrities are getting robbed 197 00:10:17,960 --> 00:10:20,520 Speaker 2: in Los Angeles right now. It's it's an epidemic. 198 00:10:20,960 --> 00:10:24,520 Speaker 1: It's an epidemic because to fund the police. Yes, you 199 00:10:24,640 --> 00:10:28,400 Speaker 1: have a Karen Bass in charge. She runs on this 200 00:10:28,520 --> 00:10:32,439 Speaker 1: idea of kind of defunding the police and having social 201 00:10:32,480 --> 00:10:35,360 Speaker 1: workers go out. There's parts of Los Angeles, Downtown Los 202 00:10:35,360 --> 00:10:40,360 Speaker 1: Angeles you cannot drive through anymore. The skid Row area 203 00:10:40,440 --> 00:10:45,200 Speaker 1: has grown incredibly. These ideas hit these cities and then 204 00:10:45,240 --> 00:10:48,240 Speaker 1: they spread out to the suburbs, and people, you know, say, I, 205 00:10:48,320 --> 00:10:50,720 Speaker 1: you know, forget the cities. They're you know, they're liberal 206 00:10:50,720 --> 00:10:54,400 Speaker 1: bastions and what have you. I'm I always feel kind 207 00:10:54,440 --> 00:10:57,360 Speaker 1: of a little bit of admiration for people that decide 208 00:10:57,400 --> 00:11:01,440 Speaker 1: to stay and fight it, because it gets to you 209 00:11:01,640 --> 00:11:03,640 Speaker 1: regardless one way or the other. It doesn't matter how 210 00:11:03,640 --> 00:11:06,360 Speaker 1: far you move out, it comes and it finds your way. 211 00:11:06,440 --> 00:11:09,280 Speaker 1: We went through when we were looking for a new 212 00:11:09,440 --> 00:11:12,080 Speaker 1: state to live in at one point five six years ago, 213 00:11:12,720 --> 00:11:15,359 Speaker 1: we were seeing the same things almost everywhere, the beginnings 214 00:11:15,440 --> 00:11:17,320 Speaker 1: of the same thing that we were seeing here in 215 00:11:17,360 --> 00:11:22,880 Speaker 1: California everywhere. So this communism thing is definitely growing, and 216 00:11:22,960 --> 00:11:24,840 Speaker 1: I think it's going to be a topic we got 217 00:11:24,880 --> 00:11:28,600 Speaker 1: like a lot of people were kind of condemning the 218 00:11:28,720 --> 00:11:31,880 Speaker 1: right for continuing to talk about socialism and communism and 219 00:11:31,880 --> 00:11:33,880 Speaker 1: what have you. A couple of years ago. I remember 220 00:11:34,200 --> 00:11:37,440 Speaker 1: a couple key conservative influencers were like, get off of that. 221 00:11:37,559 --> 00:11:41,880 Speaker 1: Nobody cares about that anymore. No, obviously, you're seeing these 222 00:11:41,920 --> 00:11:46,520 Speaker 1: democratic socialists getting elected all across the country. I think 223 00:11:46,559 --> 00:11:52,040 Speaker 1: now there's the Democratic nominee in Wisconsin for governor is 224 00:11:52,080 --> 00:11:55,640 Speaker 1: a Democratic Socialist. This thing is spreading and. 225 00:11:55,800 --> 00:11:57,800 Speaker 2: You got to go big on this one. Everyone's got 226 00:11:57,840 --> 00:11:58,520 Speaker 2: to go big on this. 227 00:11:58,760 --> 00:12:01,120 Speaker 1: Yeah, And so people need to be engaged. I see 228 00:12:01,200 --> 00:12:03,800 Speaker 1: so many people, so many people on the right are 229 00:12:03,840 --> 00:12:07,920 Speaker 1: completely disengaged from politics right now because they think their 230 00:12:07,920 --> 00:12:10,120 Speaker 1: guy is in office and they don't even you know, 231 00:12:10,200 --> 00:12:14,240 Speaker 1: they I've had people that are subscribers even say stuff 232 00:12:14,280 --> 00:12:16,560 Speaker 1: to us about, oh, why do you guys care so 233 00:12:16,679 --> 00:12:20,440 Speaker 1: much about Hollywood? And you guys are obsessed with Hollywood, 234 00:12:20,440 --> 00:12:24,760 Speaker 1: And it's because they use that as a as a mouthpiece. 235 00:12:24,800 --> 00:12:27,320 Speaker 1: They use that as as one of their kind of 236 00:12:28,040 --> 00:12:31,920 Speaker 1: battering rams to culture to push through the policies that 237 00:12:33,080 --> 00:12:36,160 Speaker 1: bring us the mom Donnis of the world. We've all 238 00:12:36,160 --> 00:12:40,000 Speaker 1: got a taste of this communism with COVID, and that 239 00:12:40,160 --> 00:12:42,240 Speaker 1: was one of the most mind blowing times I think 240 00:12:42,760 --> 00:12:47,040 Speaker 1: in American history, was during the twenty twenty to twenty 241 00:12:47,160 --> 00:12:51,040 Speaker 1: twenty two or twenty twenty three time frame. And now 242 00:12:51,600 --> 00:12:55,840 Speaker 1: we have Anthony fauci Is back in the news, and 243 00:12:55,880 --> 00:12:58,400 Speaker 1: we're going to get to that right after the break. 244 00:12:58,480 --> 00:13:00,280 Speaker 2: All right, if you guys know anything about me. You 245 00:13:00,320 --> 00:13:02,280 Speaker 2: know that I am crazy about my dogs. And let 246 00:13:02,360 --> 00:13:05,640 Speaker 2: me tell you something. My English bulldog Pablo had been 247 00:13:05,720 --> 00:13:09,840 Speaker 2: suffering with the worst skin allergies and then I started 248 00:13:09,880 --> 00:13:13,120 Speaker 2: giving him Rough Greens in his food, and boy, what 249 00:13:13,240 --> 00:13:16,640 Speaker 2: a difference that made. This stuff is amazing. Now Pablo 250 00:13:16,840 --> 00:13:19,760 Speaker 2: is a Rough Greens dog for life. Rough Green supports 251 00:13:19,840 --> 00:13:26,439 Speaker 2: long term health by providing live, bioavailable nutrients including essential vitamins, minerals, probiotics, 252 00:13:26,520 --> 00:13:30,880 Speaker 2: digestive enzymes, and omega oils. Rough Greens promotes longevity by 253 00:13:30,920 --> 00:13:35,360 Speaker 2: addressing common nutritional deficiencies found in processed dog food. I 254 00:13:35,360 --> 00:13:38,040 Speaker 2: don't just recommend Rough Greens. I depend on it to 255 00:13:38,160 --> 00:13:41,840 Speaker 2: keep my dogs happy and healthy. Traditional dog food is 256 00:13:41,920 --> 00:13:45,839 Speaker 2: shelf stable for years because it's lifeless. Rough Greens brings 257 00:13:45,880 --> 00:13:51,000 Speaker 2: the nutrition back packed with light vitamins, minerals, probiotics, digestive enzymes, 258 00:13:51,040 --> 00:13:54,400 Speaker 2: and omega oils. Rough Greens isn't dog food. It's a 259 00:13:54,480 --> 00:13:57,600 Speaker 2: live nutritional supplement you add to your dog's food. You 260 00:13:57,640 --> 00:13:59,640 Speaker 2: don't have to change your dog's food to improve your 261 00:13:59,640 --> 00:14:03,640 Speaker 2: dog's health. Just add a scoop of Rough Greens. That easy, 262 00:14:03,760 --> 00:14:06,440 Speaker 2: and I promise you you will not regret it. Don't 263 00:14:06,520 --> 00:14:09,800 Speaker 2: change your dog's food. Just add Roughgreens. Roughgreens is offering 264 00:14:09,840 --> 00:14:13,040 Speaker 2: a free Jumpstart trial bag you just cover shipping. Use 265 00:14:13,120 --> 00:14:17,040 Speaker 2: discount code RPA to claim your free Jumpstart Trial bag 266 00:14:17,120 --> 00:14:22,040 Speaker 2: at Roughgreens dot com. That's r u ffgreens dot com 267 00:14:22,040 --> 00:14:25,480 Speaker 2: promo code RPA. So don't change your dog's food, Just 268 00:14:25,520 --> 00:14:28,720 Speaker 2: add Roughgreens and watch the health benefits come alive. 269 00:14:32,800 --> 00:14:35,760 Speaker 1: You're listening to Red Pilled America's Famboogie Join the fambam. 270 00:14:35,880 --> 00:14:38,720 Speaker 1: Go to Redpilled America dot com and click join in 271 00:14:38,800 --> 00:14:40,480 Speaker 1: the top of the menu. We need you, guys, support, 272 00:14:40,800 --> 00:14:46,040 Speaker 1: support storytelling that aligns with your worldview. So this COVID 273 00:14:46,120 --> 00:14:50,160 Speaker 1: stuff has been a real kind of blast from the past. 274 00:14:50,200 --> 00:14:52,120 Speaker 1: And we're only talking about six years ago, but it 275 00:14:52,120 --> 00:14:56,240 Speaker 1: seems like a lifetime ago that COVID hit. I'm seeing 276 00:14:56,280 --> 00:14:59,240 Speaker 1: now because of Fauci is in the news and we'll 277 00:14:59,240 --> 00:15:01,760 Speaker 1: get into that in a minute. But because Fauci's in 278 00:15:01,800 --> 00:15:05,400 Speaker 1: the news now, all these pictures and videos of that time, 279 00:15:05,920 --> 00:15:10,280 Speaker 1: the craziness of that time are coming through my feed. 280 00:15:10,880 --> 00:15:12,320 Speaker 1: And one of the things that I think is kind 281 00:15:12,360 --> 00:15:16,440 Speaker 1: of interesting is is, you know, you see these people 282 00:15:16,440 --> 00:15:19,760 Speaker 1: performing on stage and they're blowing into the flute and 283 00:15:19,760 --> 00:15:23,920 Speaker 1: they have a mouth cover on, their face mask on, 284 00:15:24,360 --> 00:15:27,320 Speaker 1: but there's a slit in so that they could blow 285 00:15:27,360 --> 00:15:29,840 Speaker 1: into the instrument. And then there's other people that are 286 00:15:29,880 --> 00:15:33,640 Speaker 1: in these kind of makeshift tents on stage. You see 287 00:15:33,680 --> 00:15:36,720 Speaker 1: people like getting choked out because they're not wearing a 288 00:15:36,760 --> 00:15:40,480 Speaker 1: mask inside some food restaurant and getting thrown out. I mean, 289 00:15:40,520 --> 00:15:44,600 Speaker 1: it's just that was a crazy, crazy time. 290 00:15:44,760 --> 00:15:48,280 Speaker 2: Do you have any idea how many people that I 291 00:15:48,320 --> 00:15:50,480 Speaker 2: got into a fight with because they wanted me to 292 00:15:50,480 --> 00:15:54,200 Speaker 2: put on my mask? Yeah, and I was defiant. 293 00:15:54,280 --> 00:15:58,760 Speaker 1: We had a very I think unique experience in. 294 00:15:58,640 --> 00:16:01,600 Speaker 2: That we didn't comply at all. 295 00:16:01,840 --> 00:16:04,920 Speaker 1: No, oh my god, I mean only I didn't. I 296 00:16:04,960 --> 00:16:07,880 Speaker 1: complied two places. I complied when I went to the 297 00:16:07,880 --> 00:16:10,240 Speaker 1: gun store, and I complied when I went to the bank. 298 00:16:10,680 --> 00:16:14,760 Speaker 2: And when you picked up our prime for Christmas, you complied. 299 00:16:14,360 --> 00:16:17,560 Speaker 1: That, well, I had to. I had it off. It 300 00:16:17,600 --> 00:16:20,040 Speaker 1: was for Thanksgiving actually, And I went to go pick 301 00:16:20,080 --> 00:16:22,000 Speaker 1: up the prime rib and she wouldn't give it to me. 302 00:16:22,040 --> 00:16:23,520 Speaker 1: She wouldn't sell it to me because I wasn't wearing 303 00:16:23,560 --> 00:16:25,680 Speaker 1: my mask. And so we get into this kind of 304 00:16:25,760 --> 00:16:28,880 Speaker 1: staring match and I'm like, you're you're touching everything, like 305 00:16:28,920 --> 00:16:31,320 Speaker 1: what are you talking about? And she wouldn't give it 306 00:16:31,320 --> 00:16:32,440 Speaker 1: to me. And she wouldn't give it to me, and 307 00:16:32,440 --> 00:16:34,200 Speaker 1: I'm like, oh my god, if I leave this store 308 00:16:34,320 --> 00:16:37,880 Speaker 1: right now, Stater Brothers, which you ordered the meat like early, 309 00:16:37,920 --> 00:16:40,400 Speaker 1: if I do not get this meat, I am in 310 00:16:40,800 --> 00:16:43,680 Speaker 1: bigger trouble than with this woman right here, right now, 311 00:16:43,680 --> 00:16:47,480 Speaker 1: this cash here. It was a crazy time. But what 312 00:16:47,520 --> 00:16:49,440 Speaker 1: I was about to say is we happened to be 313 00:16:49,720 --> 00:16:52,720 Speaker 1: in this community that had a lot of Chinese nationals. 314 00:16:53,200 --> 00:16:56,000 Speaker 1: I would say, in the end of December, we caught COVID. 315 00:16:56,240 --> 00:17:00,600 Speaker 1: Me and my daughter got deathly, deathly ill. You didn't 316 00:17:00,640 --> 00:17:02,480 Speaker 1: really get sick, but me and her like I had 317 00:17:02,520 --> 00:17:08,199 Speaker 1: the worst flew ever in December twenty nineteen. And she 318 00:17:08,240 --> 00:17:11,320 Speaker 1: comes back to school in the very beginning of January, 319 00:17:11,560 --> 00:17:15,680 Speaker 1: and we're seeing all these Chinese national students wearing masks. 320 00:17:16,160 --> 00:17:18,240 Speaker 1: And then we find out that some of the students 321 00:17:18,640 --> 00:17:20,440 Speaker 1: are their parents aren't here. 322 00:17:20,480 --> 00:17:23,280 Speaker 2: Because all the Chinese parents were stuck in China, right and. 323 00:17:23,280 --> 00:17:25,440 Speaker 1: Get back, you're right, you're right. And what was going 324 00:17:25,480 --> 00:17:27,919 Speaker 1: on is is there was several people at our school. 325 00:17:28,240 --> 00:17:33,160 Speaker 1: They had a manufacturing facility in Wuhan. So we caught 326 00:17:33,240 --> 00:17:36,639 Speaker 1: this like nobody was talking about it. This is like 327 00:17:36,840 --> 00:17:40,040 Speaker 1: the very first week of January, and we're like, what's 328 00:17:40,080 --> 00:17:42,040 Speaker 1: going on here, Like we're not seeing it in the news. 329 00:17:42,040 --> 00:17:47,200 Speaker 1: So we got, you know, completely apocalypse ready. 330 00:17:47,400 --> 00:17:48,439 Speaker 2: Oh we were ready. 331 00:17:48,560 --> 00:17:50,479 Speaker 1: You know. We got like the food, we got the 332 00:17:50,520 --> 00:17:53,920 Speaker 1: toilet paper, we got everything. In early January, we were ready. Again. 333 00:17:54,000 --> 00:17:56,960 Speaker 2: Well, here's the beauty of it, though. I was already 334 00:17:57,000 --> 00:18:00,720 Speaker 2: ready with the with the hazmat suits, yes, and our 335 00:18:00,960 --> 00:18:03,960 Speaker 2: very special gas masks at the filter. I mean I 336 00:18:04,000 --> 00:18:04,920 Speaker 2: had everything already. 337 00:18:05,000 --> 00:18:07,359 Speaker 1: You had everything, everything ready to go. So by the 338 00:18:07,480 --> 00:18:11,080 Speaker 1: end of January, we had been through it already. We 339 00:18:11,119 --> 00:18:15,480 Speaker 1: had already like, Okay, there's obviously people from Wuhan at 340 00:18:15,520 --> 00:18:16,520 Speaker 1: our school. 341 00:18:16,400 --> 00:18:19,679 Speaker 2: Everybody in our small little community at school, we were 342 00:18:19,680 --> 00:18:21,920 Speaker 2: all talking about it, and we knew something was going on. Yeah, 343 00:18:21,920 --> 00:18:24,200 Speaker 2: and I said, they're going to shut us down. I 344 00:18:24,280 --> 00:18:25,040 Speaker 2: knew it was coming. 345 00:18:25,200 --> 00:18:28,000 Speaker 1: By the time February came, we were over it. And 346 00:18:28,040 --> 00:18:30,560 Speaker 1: that's when it started to kind of pick up steam 347 00:18:30,680 --> 00:18:34,040 Speaker 1: and you start seeing Trump in the end of January, 348 00:18:34,040 --> 00:18:36,439 Speaker 1: I think it was January thirty. First he bans travel 349 00:18:36,520 --> 00:18:39,040 Speaker 1: from like some of the affected areas, and he was 350 00:18:39,040 --> 00:18:41,680 Speaker 1: called a racist for that, and he was at the 351 00:18:41,720 --> 00:18:45,479 Speaker 1: same time going through the impeachment, and I found it 352 00:18:45,520 --> 00:18:49,200 Speaker 1: was fascinating to see when you really look at the timeline, 353 00:18:49,600 --> 00:18:52,920 Speaker 1: the Democrats completely were trying to downplay it. I think 354 00:18:52,920 --> 00:18:56,400 Speaker 1: it was February, the third or fourth week of February, 355 00:18:56,520 --> 00:18:58,760 Speaker 1: I think twenty fourth through the twenty eighth, something like that. 356 00:18:58,760 --> 00:19:02,000 Speaker 1: Twenty ninth, Nancy Pelosi was trying to convince people to 357 00:19:02,000 --> 00:19:04,479 Speaker 1: go to Chinatown because because she was saying that they 358 00:19:04,480 --> 00:19:06,720 Speaker 1: were being racist, that they weren't going to Chinatown and 359 00:19:06,760 --> 00:19:09,960 Speaker 1: they were targeting the Chinese. And this is Nancy Pelosi 360 00:19:10,320 --> 00:19:13,639 Speaker 1: encouraging everybody. On February twenty fourth, I believe it was 361 00:19:14,160 --> 00:19:16,440 Speaker 1: to head down to Chinatown. 362 00:19:17,000 --> 00:19:20,800 Speaker 3: You should come to Chinatown. Precautions have been taken by 363 00:19:20,880 --> 00:19:24,240 Speaker 3: our city. We know that there is a concern about 364 00:19:24,520 --> 00:19:28,400 Speaker 3: tourism traveling all throughout the world, but we think it's 365 00:19:28,520 --> 00:19:31,639 Speaker 3: very safe to be in Chinatown and hope that others 366 00:19:31,680 --> 00:19:35,160 Speaker 3: will come well. I have confidence in doctor Fauci at 367 00:19:35,200 --> 00:19:39,200 Speaker 3: the National Institutes of Health, who has some further confidence in. 368 00:19:39,760 --> 00:19:40,560 Speaker 2: What we're doing. 369 00:19:40,680 --> 00:19:43,440 Speaker 1: So there you have it. There is Nancy Pelosi in 370 00:19:43,520 --> 00:19:46,760 Speaker 1: the end of February encouraging people to go down to Chinatown, 371 00:19:47,280 --> 00:19:49,520 Speaker 1: and then within a matter of just a couple of weeks, 372 00:19:49,560 --> 00:19:52,360 Speaker 1: they turned on a dime. And I think what they 373 00:19:52,480 --> 00:19:57,320 Speaker 1: realized was is that they can use this to go 374 00:19:57,400 --> 00:20:01,159 Speaker 1: after Trump because he was doing so well, the economy 375 00:20:01,280 --> 00:20:04,280 Speaker 1: was booming, he was on on his way to reelection. 376 00:20:04,880 --> 00:20:08,879 Speaker 1: There was nothing stopping him unless you could hurt the economy. 377 00:20:09,280 --> 00:20:12,359 Speaker 1: And what's going to hurt the economy more than completely 378 00:20:12,600 --> 00:20:15,800 Speaker 1: shutting it down. And so within like a matter of 379 00:20:15,840 --> 00:20:18,560 Speaker 1: two weeks, it went from Nancy Pelosi encouraging people to 380 00:20:18,600 --> 00:20:21,760 Speaker 1: go down to Chinatown to if you don't want this 381 00:20:22,160 --> 00:20:25,880 Speaker 1: the you know, this world shut down, then you want 382 00:20:25,920 --> 00:20:28,760 Speaker 1: your grandmother, my grandmother dead. You want your grandmother dead. 383 00:20:29,480 --> 00:20:32,680 Speaker 1: And it was a shocking thing to watch how many 384 00:20:32,720 --> 00:20:38,520 Speaker 1: people complied and we were just not on board. Maybe 385 00:20:38,640 --> 00:20:40,199 Speaker 1: part of that had to do with what we had 386 00:20:40,240 --> 00:20:42,800 Speaker 1: went through with at the school and seeing that it 387 00:20:42,880 --> 00:20:44,359 Speaker 1: wasn't that big of a deal, or at least it 388 00:20:44,359 --> 00:20:47,879 Speaker 1: wasn't as big as people were trying to, you know, 389 00:20:47,960 --> 00:20:48,600 Speaker 1: make you think. 390 00:20:48,960 --> 00:20:51,160 Speaker 2: I mean, it was just also clear that they saw 391 00:20:51,200 --> 00:20:53,920 Speaker 2: that they could use it against Trump and the Democrats 392 00:20:54,000 --> 00:20:57,560 Speaker 2: took that route. They're dirty, yes, and we didn't trust them. 393 00:20:57,560 --> 00:20:58,800 Speaker 2: We saw we saw right through it. 394 00:20:59,000 --> 00:21:02,399 Speaker 1: We saw right through it and to see this moment 395 00:21:02,640 --> 00:21:05,320 Speaker 1: and to see kind of where it went. So now 396 00:21:05,359 --> 00:21:09,400 Speaker 1: you have Fauci coming forward because you know he's going 397 00:21:09,400 --> 00:21:12,560 Speaker 1: to testify. He just recently testified, or he didn't testify, 398 00:21:13,960 --> 00:21:16,199 Speaker 1: but he The reason why Fauci's in the news, I'm 399 00:21:16,200 --> 00:21:20,240 Speaker 1: sure everybody knows this is because Robert F. Kennedy Junior 400 00:21:20,920 --> 00:21:26,480 Speaker 1: found some a diary basically of his So this man, 401 00:21:26,640 --> 00:21:29,000 Speaker 1: while all this was going on, he was making himself 402 00:21:29,080 --> 00:21:32,919 Speaker 1: notes on a government computer, this genius because he wanted 403 00:21:32,920 --> 00:21:35,840 Speaker 1: to have it for his kind of my memoir or 404 00:21:35,920 --> 00:21:37,960 Speaker 1: a book that he was going to publish before he died. 405 00:21:39,280 --> 00:21:41,560 Speaker 1: So he starts typing all this stuff out and then 406 00:21:41,640 --> 00:21:44,159 Speaker 1: right before the end of his term, he emails it 407 00:21:44,200 --> 00:21:48,760 Speaker 1: to himself. And then through their investigation they found these email, 408 00:21:48,840 --> 00:21:54,359 Speaker 1: this email on the servers and the revelations that are 409 00:21:54,359 --> 00:21:57,840 Speaker 1: coming out at So he's asked to come to the 410 00:21:57,880 --> 00:22:02,439 Speaker 1: Senate and to a Senate hearing to testify. He should 411 00:22:02,440 --> 00:22:05,320 Speaker 1: be able to because he got a blanket pardon from 412 00:22:05,480 --> 00:22:08,800 Speaker 1: Joe Biden. I believe from twenty fourteen to two thousand 413 00:22:08,840 --> 00:22:13,320 Speaker 1: and I want to say twenty twenty five. So if 414 00:22:13,320 --> 00:22:16,760 Speaker 1: he did commit a crime, he's pardoned. So according to 415 00:22:16,920 --> 00:22:19,480 Speaker 1: several kind of legal experts in this area, they're like, 416 00:22:19,520 --> 00:22:21,879 Speaker 1: you should be able to testify because he can't plead 417 00:22:21,880 --> 00:22:25,080 Speaker 1: the fifth because he's not going to incriminate himself because 418 00:22:25,160 --> 00:22:27,639 Speaker 1: he has a pardon. And the interesting thing is that 419 00:22:27,640 --> 00:22:31,880 Speaker 1: if you look at his statements prior, he always talked about, oh, 420 00:22:32,000 --> 00:22:34,680 Speaker 1: I'm going to testify if I'm ever asked. Here's Fauci 421 00:22:35,280 --> 00:22:37,040 Speaker 1: saying that very thing earlier. 422 00:22:37,240 --> 00:22:41,800 Speaker 7: I am very happy to testify before any Congressional oversight committee. 423 00:22:42,040 --> 00:22:46,240 Speaker 7: I have nothing to hide. I can explain and validate 424 00:22:46,320 --> 00:22:48,720 Speaker 7: everything that I've done. So you know it's going to 425 00:22:48,720 --> 00:22:52,720 Speaker 7: be inconvenient if they actually are out there essentially threatening 426 00:22:52,800 --> 00:22:55,560 Speaker 7: to make my life miserable. But it's I mean, I'm 427 00:22:55,560 --> 00:22:57,000 Speaker 7: going to do what I need to do, and that 428 00:22:57,119 --> 00:23:00,680 Speaker 7: is cooperate fully because we have nothing to hide at all. 429 00:23:01,119 --> 00:23:04,760 Speaker 1: So that was him in two thousand and two. This 430 00:23:04,960 --> 00:23:08,679 Speaker 1: was him earlier this week in front of the Senators 431 00:23:08,720 --> 00:23:09,720 Speaker 1: asking him questions. 432 00:23:10,760 --> 00:23:14,679 Speaker 5: The fil a. 433 00:23:20,600 --> 00:23:20,760 Speaker 3: Question. 434 00:23:21,280 --> 00:23:24,919 Speaker 1: Yeah, so of course that wasn't a Fauci, That was 435 00:23:25,280 --> 00:23:29,800 Speaker 1: Dave Chappelle. But yeah, so here he is actually actually. 436 00:23:29,359 --> 00:23:33,120 Speaker 8: The fifth Under the advice of my attorneys, I will 437 00:23:33,160 --> 00:23:36,640 Speaker 8: invoke my right under the fifth Amendment of the Constitution 438 00:23:37,640 --> 00:23:40,200 Speaker 8: to refrain from answering your questions. 439 00:23:40,640 --> 00:23:43,680 Speaker 1: So there you have it. There, he is Fauci. 440 00:23:44,119 --> 00:23:47,040 Speaker 2: Please Shi have brought in a jail cell for what 441 00:23:47,200 --> 00:23:50,000 Speaker 2: he did. It was criminal. Do you remember how people 442 00:23:50,000 --> 00:23:53,080 Speaker 2: were treated, How people were treated that didn't get the 443 00:23:53,200 --> 00:23:55,760 Speaker 2: vax People that that you know, we're going to lose 444 00:23:55,800 --> 00:23:58,119 Speaker 2: their jobs, so they were forced to get the vax. 445 00:23:58,240 --> 00:24:00,480 Speaker 2: I mean, it was absolutely horrible. 446 00:24:00,760 --> 00:24:04,000 Speaker 1: I think everyone should be absolutely fury in this moment 447 00:24:04,080 --> 00:24:08,800 Speaker 1: because the few of us that fought the vaccination, the 448 00:24:08,840 --> 00:24:12,240 Speaker 1: mandatory vaccinations. There was a moment where I even considered 449 00:24:12,280 --> 00:24:15,240 Speaker 1: getting the vaccination because I got COVID so bad that 450 00:24:15,320 --> 00:24:17,679 Speaker 1: it hit me pretty hard. In hindsight, I think it 451 00:24:17,720 --> 00:24:19,720 Speaker 1: was actually the treatment that got me sick and not 452 00:24:19,880 --> 00:24:22,600 Speaker 1: the COVID. But at the end of the day, them 453 00:24:22,600 --> 00:24:25,119 Speaker 1: trying to force it on everybody, force it on kids, 454 00:24:25,840 --> 00:24:32,240 Speaker 1: closing down the schools, people committed suicide, people weren't able 455 00:24:32,240 --> 00:24:34,440 Speaker 1: to say goodbye to their loved ones. 456 00:24:34,800 --> 00:24:37,720 Speaker 2: People died in hospitals alone. 457 00:24:37,440 --> 00:24:41,320 Speaker 1: Alone, by themselves. And this man, if you look at 458 00:24:41,320 --> 00:24:44,960 Speaker 1: the diary, you see what he was saying publicly was 459 00:24:45,040 --> 00:24:47,960 Speaker 1: different than what he was saying privately. Here's some of 460 00:24:47,960 --> 00:24:51,520 Speaker 1: the revelations that we see in the diary. Give them. Well, 461 00:24:51,640 --> 00:24:54,399 Speaker 1: one he spoke to I think it was a dozen 462 00:24:54,600 --> 00:24:57,960 Speaker 1: or so experts in this area, and two of them 463 00:24:58,280 --> 00:25:01,679 Speaker 1: said that it originated from the Wuhan wet markets. The 464 00:25:01,720 --> 00:25:05,960 Speaker 1: other ten thought that it was potentially thrust upon the community, 465 00:25:06,160 --> 00:25:10,399 Speaker 1: potentially from a lab. But he went with the wet 466 00:25:10,440 --> 00:25:14,440 Speaker 1: market argument. So he's speaking to these twelve experts. There 467 00:25:14,520 --> 00:25:17,840 Speaker 1: is two that's saying that it originated from the wet markets, 468 00:25:18,119 --> 00:25:20,399 Speaker 1: and then ten that are saying, well, yeah, no, I 469 00:25:20,400 --> 00:25:22,800 Speaker 1: think it actually might have been put into the system 470 00:25:23,520 --> 00:25:26,760 Speaker 1: potentially from a lab leak, and he goes with the 471 00:25:27,800 --> 00:25:33,200 Speaker 1: other with the wet market argument. You see him at 472 00:25:33,200 --> 00:25:37,280 Speaker 1: one point he withheld from the government something an issue 473 00:25:37,280 --> 00:25:39,320 Speaker 1: that he had after getting a vaccination. I believe he 474 00:25:39,359 --> 00:25:42,359 Speaker 1: had some kind of blood clot He withheld that information 475 00:25:42,400 --> 00:25:46,359 Speaker 1: from the public, various other things in private where he 476 00:25:46,400 --> 00:25:50,600 Speaker 1: would say that publicly he was not telling the schools 477 00:25:50,920 --> 00:25:54,240 Speaker 1: to close down but then in his diary he notes 478 00:25:54,280 --> 00:25:58,000 Speaker 1: that he was privately encouraging these states to close down 479 00:25:58,040 --> 00:26:02,679 Speaker 1: their schools. So you see this contradiction after contradiction, and 480 00:26:02,720 --> 00:26:04,960 Speaker 1: at the end of the day, what you really see 481 00:26:05,160 --> 00:26:09,360 Speaker 1: is is this incentive for him to keep this thing 482 00:26:09,440 --> 00:26:14,159 Speaker 1: going because it was giving him stardom that no person 483 00:26:14,240 --> 00:26:17,160 Speaker 1: in his position had ever had. He at one point, 484 00:26:17,160 --> 00:26:18,919 Speaker 1: I think he puts in his diary that he is 485 00:26:19,520 --> 00:26:22,760 Speaker 1: the most famous person in the world and everybody's talking about. 486 00:26:22,520 --> 00:26:25,520 Speaker 2: The media loves him or something like that. Yeah, you know, 487 00:26:25,520 --> 00:26:27,560 Speaker 2: it was also, you know, making him a lot of money. 488 00:26:27,640 --> 00:26:28,560 Speaker 2: It was making him money. 489 00:26:28,600 --> 00:26:30,680 Speaker 1: He got some money from awards, and he look over 490 00:26:30,720 --> 00:26:35,160 Speaker 1: a million dollars in awards for like public service. He's 491 00:26:35,240 --> 00:26:38,920 Speaker 1: reaching out to and talking with Julia Roberts, He's having 492 00:26:39,000 --> 00:26:42,240 Speaker 1: dinners with Jake Tapper, by the way, while he's telling 493 00:26:42,240 --> 00:26:45,280 Speaker 1: everybody that you can't go out for Thanksgiving and advising 494 00:26:45,280 --> 00:26:47,960 Speaker 1: people not to go out for Thanksgiving. So he made 495 00:26:48,040 --> 00:26:53,040 Speaker 1: our lives hell and he brought a form of communism 496 00:26:53,160 --> 00:26:56,879 Speaker 1: into the United States. That's why we were pushing so 497 00:26:57,200 --> 00:27:02,160 Speaker 1: hard for this thing to not be implemented, because what 498 00:27:02,200 --> 00:27:04,800 Speaker 1: you're seeing he is kind of a sneak attack for 499 00:27:04,840 --> 00:27:09,159 Speaker 1: communism to come into the United States. Everyone says, oh, okay, 500 00:27:09,200 --> 00:27:11,640 Speaker 1: you know, hindsight's twenty twenty. We didn't know this thing 501 00:27:12,280 --> 00:27:14,720 Speaker 1: could have gone, you know, really bad. No, by March, 502 00:27:15,160 --> 00:27:17,920 Speaker 1: we knew. We could look at Italy and we could 503 00:27:17,960 --> 00:27:21,520 Speaker 1: look at Sweden. They were taking two different paths, and 504 00:27:21,960 --> 00:27:26,119 Speaker 1: it was hitting them primarily the same. It didn't matter 505 00:27:26,160 --> 00:27:29,240 Speaker 1: whether you stayed open or whether you shut down. There 506 00:27:29,240 --> 00:27:32,600 Speaker 1: were experts that had done the research, which Fauchi also saw, 507 00:27:33,000 --> 00:27:36,480 Speaker 1: that basically said that this thing is highly, highly contagious. 508 00:27:36,520 --> 00:27:39,560 Speaker 1: It's actually more contagious than we thought, but it's also 509 00:27:40,119 --> 00:27:43,200 Speaker 1: not as deadly as we thought, and so it's really 510 00:27:43,240 --> 00:27:47,720 Speaker 1: like a bad flu. And yes, people died, but at 511 00:27:47,720 --> 00:27:50,800 Speaker 1: the end of the day, if you're talking about allowing 512 00:27:50,880 --> 00:27:55,480 Speaker 1: communism into your country. A perfect example George Washington during 513 00:27:55,480 --> 00:27:59,080 Speaker 1: the American Revolution, smallpox was going crazy. They didn't stop 514 00:27:59,160 --> 00:28:02,520 Speaker 1: the revolution because of that. I think smallpox was somewhere 515 00:28:02,560 --> 00:28:05,479 Speaker 1: on the order of like thirty percent death rate. We 516 00:28:05,520 --> 00:28:08,360 Speaker 1: had already known by March that it was nowhere near that. 517 00:28:09,000 --> 00:28:12,479 Speaker 1: It was in the like very very like under one percent. 518 00:28:12,880 --> 00:28:16,160 Speaker 1: But they decided to go this route and shut everything down. 519 00:28:16,400 --> 00:28:21,560 Speaker 1: Why because they saw this as a perfect opportunity to 520 00:28:21,720 --> 00:28:25,879 Speaker 1: go after Trump and to stop him in this election cycle. 521 00:28:26,440 --> 00:28:30,800 Speaker 1: And who's kind of admitting to that now is doctor 522 00:28:30,840 --> 00:28:33,159 Speaker 1: Deborah Burks. If you might remember her, she was the 523 00:28:33,160 --> 00:28:34,760 Speaker 1: one that was always wearing the scarf that kind of 524 00:28:34,760 --> 00:28:37,760 Speaker 1: like Styley Scarf's at these press conferences. Well, this is 525 00:28:37,800 --> 00:28:42,320 Speaker 1: her recently talking about this moment and about the shutdowns 526 00:28:42,320 --> 00:28:45,960 Speaker 1: and how basically all these Democrat states they overshut down 527 00:28:46,000 --> 00:28:48,320 Speaker 1: and they shut down for too long because we were 528 00:28:48,360 --> 00:28:49,240 Speaker 1: in election season. 529 00:28:49,480 --> 00:28:52,480 Speaker 9: I think all of us need to be quite honest 530 00:28:52,560 --> 00:28:57,040 Speaker 9: with ourselves about how the not only the information evolved, 531 00:28:57,680 --> 00:29:01,480 Speaker 9: but the needs for the relevant what we call countermeasures 532 00:29:01,600 --> 00:29:04,040 Speaker 9: should have also evolved. What do I mean by that 533 00:29:05,000 --> 00:29:08,080 Speaker 9: when this first hit, we didn't have enough testing out there. 534 00:29:08,760 --> 00:29:11,640 Speaker 9: We couldn't stop the spread in any way. Hospitals were 535 00:29:11,680 --> 00:29:14,600 Speaker 9: being overrun, We didn't have a supply chain that matched 536 00:29:14,640 --> 00:29:16,960 Speaker 9: the need, and so the first part in the few 537 00:29:17,000 --> 00:29:20,920 Speaker 9: months were at crisis. But once we got additional therapies 538 00:29:20,920 --> 00:29:25,880 Speaker 9: monoclonal antibodies, long acting monoclonal antibodies around severear where there 539 00:29:25,920 --> 00:29:30,920 Speaker 9: were actually additional treatments, then you can pull back on 540 00:29:30,960 --> 00:29:34,600 Speaker 9: some of the mitigation, but because it was an election year, 541 00:29:34,960 --> 00:29:40,360 Speaker 9: there were states that persisted and they're very tight mitigations 542 00:29:40,400 --> 00:29:42,720 Speaker 9: and others that showed us a way that you could 543 00:29:42,760 --> 00:29:46,480 Speaker 9: open K through twelve and higher ED and I saw 544 00:29:46,560 --> 00:29:50,280 Speaker 9: it myself. If you gave higher ED tests, they really 545 00:29:50,320 --> 00:29:51,280 Speaker 9: prevented spread. 546 00:29:51,320 --> 00:29:54,959 Speaker 1: And so there you have it. She basically admits that 547 00:29:55,080 --> 00:29:58,120 Speaker 1: because we were in election cycle, people over shut down 548 00:29:58,760 --> 00:30:03,840 Speaker 1: and why because it was destroying Trump's economy. They wanted 549 00:30:03,840 --> 00:30:07,080 Speaker 1: to hurt Trump. They wanted to It was very clear 550 00:30:07,160 --> 00:30:09,720 Speaker 1: that this was not anywhere near as deadly as people 551 00:30:10,120 --> 00:30:13,360 Speaker 1: were afraid it was. But what did they do at 552 00:30:13,400 --> 00:30:16,560 Speaker 1: this time? They got the whole mail in ballot thing going, 553 00:30:16,600 --> 00:30:20,440 Speaker 1: they got the ballot harvesting. They kept pushing and pushing 554 00:30:20,480 --> 00:30:23,920 Speaker 1: and pushing for this because they could do this basically 555 00:30:23,960 --> 00:30:27,600 Speaker 1: blanket mail in ballots, and they had this ballot harvesting 556 00:30:27,640 --> 00:30:32,240 Speaker 1: machine that they can use to win the election. And 557 00:30:32,280 --> 00:30:35,520 Speaker 1: it was a shocking thing to watch happen because Trump 558 00:30:35,640 --> 00:30:38,880 Speaker 1: was on the march to a reelection easily. He was 559 00:30:38,920 --> 00:30:41,640 Speaker 1: winning in the polls, the economy was booming and what 560 00:30:41,720 --> 00:30:46,200 Speaker 1: have you. And unfortunately Trump, I don't want to say 561 00:30:46,240 --> 00:30:48,360 Speaker 1: that he caved under pressure. We did a story on 562 00:30:48,440 --> 00:30:52,520 Speaker 1: this when we were kind of looking at Trump's first term, 563 00:30:53,080 --> 00:30:56,080 Speaker 1: and we kind of asked this question, what was Trump's 564 00:30:56,080 --> 00:31:00,280 Speaker 1: biggest mistake? His biggest mistake was shutting down because if 565 00:31:00,320 --> 00:31:03,239 Speaker 1: he hadn't shut down, and he potentially could have been 566 00:31:03,280 --> 00:31:08,480 Speaker 1: re elected. But the pressure was crazy. There's not a 567 00:31:08,520 --> 00:31:12,560 Speaker 1: person alive that could have fought back on that pressure. 568 00:31:12,840 --> 00:31:16,120 Speaker 1: Not a person alive. But we were one of the 569 00:31:16,120 --> 00:31:18,600 Speaker 1: few voices out there that were telling everyone, what are 570 00:31:18,600 --> 00:31:21,480 Speaker 1: we doing? Why are you doing this? This is crazy 571 00:31:21,760 --> 00:31:25,720 Speaker 1: because we cannot let Marxism and socialism and communism into 572 00:31:25,760 --> 00:31:29,760 Speaker 1: this country. If we had Chinese communists rushing our shores 573 00:31:30,080 --> 00:31:32,680 Speaker 1: okay because they want to bring communism here to America, 574 00:31:32,920 --> 00:31:36,920 Speaker 1: how many people is you know, are we allowed to say, okay, 575 00:31:36,960 --> 00:31:39,840 Speaker 1: we were this death toll works to fight communism at 576 00:31:40,200 --> 00:31:43,280 Speaker 1: our shores. We would probably say quite a few people. 577 00:31:43,440 --> 00:31:45,000 Speaker 2: I don't think people were looking at it as we 578 00:31:45,000 --> 00:31:46,480 Speaker 2: were fighting a war, but we were. 579 00:31:47,080 --> 00:31:49,400 Speaker 1: We were fighting a war. We were fighting a war. 580 00:31:49,480 --> 00:31:51,760 Speaker 1: We were fighting a war, and if you're fighting a war, 581 00:31:51,880 --> 00:31:53,320 Speaker 1: you're going to lose some people. 582 00:31:53,320 --> 00:31:56,080 Speaker 2: People are going to die. If a country came and 583 00:31:56,080 --> 00:31:59,920 Speaker 2: invaded our shores. We would send our military out there, 584 00:31:59,960 --> 00:32:01,520 Speaker 2: men and women, where they would go out there and 585 00:32:01,560 --> 00:32:05,000 Speaker 2: they would fight. They would fight for our country a country. 586 00:32:04,600 --> 00:32:07,680 Speaker 2: Some of the many, many people would die. 587 00:32:07,520 --> 00:32:12,040 Speaker 1: And we would be willing for that death toll to 588 00:32:12,120 --> 00:32:15,960 Speaker 1: be pretty high to stop Communism from entering into our country. 589 00:32:15,880 --> 00:32:18,200 Speaker 2: To stop the war from spreading to the country. 590 00:32:18,400 --> 00:32:20,720 Speaker 1: And so this was a war, but it was a 591 00:32:20,760 --> 00:32:23,360 Speaker 1: different kind of a war. It wasn't a war where 592 00:32:23,400 --> 00:32:26,640 Speaker 1: you had tanks and machine guns had It was an 593 00:32:26,680 --> 00:32:31,280 Speaker 1: information war. It was this sickness, and this illness was 594 00:32:31,320 --> 00:32:34,480 Speaker 1: the trojan horse that brought Communism into the United States. 595 00:32:34,720 --> 00:32:36,960 Speaker 1: Next thing you know, we're going to the grocery store 596 00:32:37,040 --> 00:32:39,000 Speaker 1: and you could only go one way down the aisle, 597 00:32:39,120 --> 00:32:40,640 Speaker 1: and they have an arrow where you could only go 598 00:32:40,680 --> 00:32:42,040 Speaker 1: one way. I remember I used to go to the 599 00:32:42,080 --> 00:32:43,920 Speaker 1: grocery store and I used to have toddlers look at 600 00:32:43,960 --> 00:32:45,880 Speaker 1: me because I wasn't wearing a mask like I was 601 00:32:46,000 --> 00:32:49,280 Speaker 1: like an alien. You'd drive around and you would see 602 00:32:49,320 --> 00:32:52,280 Speaker 1: people alone in their vehicles with a mask. 603 00:32:52,080 --> 00:32:53,040 Speaker 2: On, wearing a mask. 604 00:32:53,280 --> 00:32:54,640 Speaker 1: Yes, I still see those people. 605 00:32:54,640 --> 00:32:56,120 Speaker 2: I still see those people too. And when I see 606 00:32:56,120 --> 00:32:58,080 Speaker 2: a person wearing a mask these days like that, I 607 00:32:58,120 --> 00:33:00,440 Speaker 2: think they're probably not their nuts. 608 00:33:00,440 --> 00:33:01,480 Speaker 1: Get away from it, Get. 609 00:33:01,320 --> 00:33:04,160 Speaker 2: Away from me. I'm trying to stay safe. I have 610 00:33:04,240 --> 00:33:07,120 Speaker 2: to say that during that time, because you know, we 611 00:33:07,600 --> 00:33:10,880 Speaker 2: famously did not get the vaccine, I think I do 612 00:33:11,080 --> 00:33:13,960 Speaker 2: kind of regret because I didn't want to take the 613 00:33:14,000 --> 00:33:16,840 Speaker 2: position publicly, like to tell people, don't get the vax 614 00:33:17,600 --> 00:33:21,280 Speaker 2: And I regret that because privately I was telling people 615 00:33:21,520 --> 00:33:24,840 Speaker 2: that I love, don't get the vaxed. Yeah, don't get vexed. 616 00:33:25,000 --> 00:33:28,520 Speaker 2: My mom, don't get vexed. Your mom, don't get vexed. 617 00:33:28,560 --> 00:33:32,040 Speaker 2: You know, our elderly family. Just stay in if you're scared, 618 00:33:32,080 --> 00:33:34,480 Speaker 2: and we will bring the groceries to you. You know, 619 00:33:35,080 --> 00:33:37,520 Speaker 2: we will keep you comfortable. I feel bad about that, 620 00:33:38,400 --> 00:33:41,360 Speaker 2: and it definitely felt like we were at war. I mean, 621 00:33:41,800 --> 00:33:43,920 Speaker 2: those of us that did not get the vaccine, we 622 00:33:43,920 --> 00:33:47,320 Speaker 2: were treated so incredibly poorly during that. 623 00:33:47,280 --> 00:33:49,040 Speaker 1: Time, especially being here in California. 624 00:33:49,320 --> 00:33:53,360 Speaker 2: I had a friend, okay, a good friend who's a doctor, 625 00:33:53,560 --> 00:33:57,680 Speaker 2: she's a pediatrician, tell me that if I got COVID 626 00:33:57,760 --> 00:34:00,920 Speaker 2: because I wasn't vaxed, that I did not deserve to 627 00:34:01,040 --> 00:34:02,080 Speaker 2: get a hospital bed. 628 00:34:02,120 --> 00:34:05,240 Speaker 1: That I basically did die yeah, I remember. 629 00:34:05,240 --> 00:34:07,560 Speaker 2: And you know what, I went ape shit on her. 630 00:34:07,800 --> 00:34:11,840 Speaker 2: She took the hippocratic oath. She should lose her medical license. 631 00:34:12,080 --> 00:34:12,279 Speaker 1: Yeah. 632 00:34:12,320 --> 00:34:15,840 Speaker 2: You know, if a gay man comes in with colon cancer, 633 00:34:16,000 --> 00:34:18,160 Speaker 2: are you going to refuse him treatment? 634 00:34:18,320 --> 00:34:18,800 Speaker 1: Yeah? 635 00:34:19,040 --> 00:34:21,560 Speaker 2: You know, if a smoker comes in with heart disease, 636 00:34:21,680 --> 00:34:24,600 Speaker 2: lung disease, are you going to refuse them treatment. I mean, 637 00:34:24,680 --> 00:34:27,600 Speaker 2: it was just it was such a horrible hard time. 638 00:34:27,719 --> 00:34:29,720 Speaker 1: It was a tough time. I remember there was another 639 00:34:29,800 --> 00:34:32,520 Speaker 1: doctor that was a friend of ours that she was saying, Oh, 640 00:34:32,560 --> 00:34:34,120 Speaker 1: you know, you gotta wear the mask, wear the mask 641 00:34:34,239 --> 00:34:35,800 Speaker 1: or the mask. And I was like, wait a minute. 642 00:34:35,920 --> 00:34:38,080 Speaker 1: You're sending your kid. This was in the summer, the 643 00:34:38,080 --> 00:34:40,239 Speaker 1: summer of twenty twenty. You're sending your kid to a 644 00:34:40,280 --> 00:34:44,120 Speaker 1: basketball camp. Oh yeah, but they're having them more masks. Okay, 645 00:34:44,360 --> 00:34:49,000 Speaker 1: they're playing basketball, They're bouncing a ball, they're sweating all 646 00:34:49,040 --> 00:34:51,520 Speaker 1: over each other. They're all sweating over the ball, and 647 00:34:51,560 --> 00:34:54,359 Speaker 1: they're passing it to each other. What are you talking about, 648 00:34:54,400 --> 00:34:58,400 Speaker 1: you call yourself a doctor. It was the most ridiculous 649 00:34:58,800 --> 00:35:01,040 Speaker 1: time frame. I mean, think about BLM at the time, 650 00:35:01,160 --> 00:35:04,640 Speaker 1: think about the the George Lloyd Riots and what happened there, 651 00:35:04,640 --> 00:35:06,920 Speaker 1: and then basically it was okay for you to go 652 00:35:06,960 --> 00:35:10,560 Speaker 1: out and protest because for some reason that was an 653 00:35:10,640 --> 00:35:14,680 Speaker 1: okay thing to do, and you actually had experts coming 654 00:35:14,719 --> 00:35:16,279 Speaker 1: out and saying that was an okay thing to do 655 00:35:16,600 --> 00:35:19,279 Speaker 1: with a straight face. They would go on CNN and 656 00:35:19,520 --> 00:35:22,879 Speaker 1: argue that the protests were okay, but then would make 657 00:35:22,920 --> 00:35:24,759 Speaker 1: you not be able to go do a restaurant or 658 00:35:24,960 --> 00:35:27,640 Speaker 1: or make restaurants close down. You know, me restaurants went 659 00:35:27,640 --> 00:35:30,040 Speaker 1: out of business. Restaurants that have been around for like 660 00:35:30,120 --> 00:35:33,920 Speaker 1: one hundred years that shut down. They could not withstand it, 661 00:35:33,960 --> 00:35:36,760 Speaker 1: you know how Me Downtown restaurants now are completely gone 662 00:35:36,880 --> 00:35:40,239 Speaker 1: because they couldn't. They couldn't stick around during that timeframe, 663 00:35:40,640 --> 00:35:42,359 Speaker 1: people suffered in a big way. 664 00:35:42,600 --> 00:35:44,200 Speaker 2: It was completely politicized. 665 00:35:44,560 --> 00:35:47,160 Speaker 1: And but the thing was is that we kind of 666 00:35:47,200 --> 00:35:49,520 Speaker 1: have a hard time even saying this out loud. We 667 00:35:49,719 --> 00:35:53,560 Speaker 1: kind of benefited from COVID in that we had a podcast, 668 00:35:53,920 --> 00:35:57,200 Speaker 1: we worked from home, I didn't have to go to work, 669 00:35:57,400 --> 00:35:59,480 Speaker 1: and we got a bunch of advertising coming our way. 670 00:35:59,480 --> 00:36:02,400 Speaker 1: Because people couldn't do events, they couldn't do the kind 671 00:36:02,400 --> 00:36:05,560 Speaker 1: of advertise that they normally would, so they looked to digital. 672 00:36:05,760 --> 00:36:08,000 Speaker 1: They looked to digital to do advertising, and we got 673 00:36:08,000 --> 00:36:11,480 Speaker 1: a big influx of advertising at that time. And even 674 00:36:11,520 --> 00:36:14,319 Speaker 1: through that, I was like, keep everything open, open it 675 00:36:14,400 --> 00:36:17,560 Speaker 1: up now, yeah, because we're talking about our country here, 676 00:36:17,719 --> 00:36:22,480 Speaker 1: we're talking about this infiltration of communism through COVID into 677 00:36:22,520 --> 00:36:26,000 Speaker 1: the United States. It was worth fighting for. We were 678 00:36:26,120 --> 00:36:30,880 Speaker 1: at war. Some people die in war, okay, And at 679 00:36:30,880 --> 00:36:32,960 Speaker 1: the end of the day, when you looked at Sweden 680 00:36:32,960 --> 00:36:35,640 Speaker 1: and you looked at Italy, there was no difference whether 681 00:36:35,680 --> 00:36:38,719 Speaker 1: you closed or whether you opened. Period. The data was 682 00:36:38,760 --> 00:36:41,920 Speaker 1: out there. But those people were shut down and shut 683 00:36:42,000 --> 00:36:45,279 Speaker 1: up because Fauci wouldn't allow those people to talk. So 684 00:36:45,320 --> 00:36:49,560 Speaker 1: you had everyone from Jimmy Kimmel and Stephen Colbert mocking 685 00:36:49,600 --> 00:36:52,560 Speaker 1: these people basically saying that if you don't get the vaccine, 686 00:36:52,600 --> 00:36:55,040 Speaker 1: you should die. We had all this pressure to get 687 00:36:55,120 --> 00:36:59,000 Speaker 1: kids to get vaccine when there was literally zero risk 688 00:36:59,200 --> 00:37:02,520 Speaker 1: for kids for COVID. So I mean, it was. 689 00:37:02,520 --> 00:37:06,200 Speaker 2: Just risk for kids, very very lovely seeing it didn't 690 00:37:06,320 --> 00:37:09,520 Speaker 2: stop you from getting sick, and it didn't stop you 691 00:37:09,600 --> 00:37:11,080 Speaker 2: from spreading it. 692 00:37:11,160 --> 00:37:13,120 Speaker 1: That was another thing that was We saw him in 693 00:37:13,160 --> 00:37:15,520 Speaker 1: the diary that Fauci was writing about it. 694 00:37:15,640 --> 00:37:17,040 Speaker 2: So why are you getting this shot? 695 00:37:17,200 --> 00:37:18,439 Speaker 1: But he wouldn't say that part. 696 00:37:18,480 --> 00:37:20,200 Speaker 2: You know what, you know what, you know why then 697 00:37:20,200 --> 00:37:22,120 Speaker 2: they switched it to oh, well you're not going to 698 00:37:22,200 --> 00:37:22,440 Speaker 2: get it. 699 00:37:22,440 --> 00:37:23,120 Speaker 1: It's bad bad. 700 00:37:23,480 --> 00:37:25,160 Speaker 2: I mean I heard that from so many people. I 701 00:37:25,280 --> 00:37:26,800 Speaker 2: was like, you have COVID and you got VAXs, And 702 00:37:26,800 --> 00:37:28,399 Speaker 2: I were like, yeah, but I would have probably got 703 00:37:28,400 --> 00:37:30,120 Speaker 2: it way worse if I didn't get the vax. 704 00:37:30,000 --> 00:37:33,680 Speaker 1: I had one of my oldest childhood friend's mothers on 705 00:37:33,719 --> 00:37:36,360 Speaker 1: Instagram tell me that I should be ashamed of myself 706 00:37:36,719 --> 00:37:39,719 Speaker 1: for not getting my daughter vaccinated, and I was. I 707 00:37:40,080 --> 00:37:43,680 Speaker 1: laid into I ripped into this woman. I couldn't believe 708 00:37:43,760 --> 00:37:46,399 Speaker 1: that the way that people were just caving to this. 709 00:37:47,000 --> 00:37:49,239 Speaker 1: And then you know, and you got you had, you know, 710 00:37:49,400 --> 00:37:54,120 Speaker 1: stars like the tennis star Novaka Djokovic. I believe he 711 00:37:54,160 --> 00:37:57,000 Speaker 1: couldn't even go into the Australian Open because he wouldn't 712 00:37:57,040 --> 00:37:59,920 Speaker 1: get vaccinated. You had people being pulled out of the 713 00:38:00,000 --> 00:38:03,320 Speaker 1: ocean that we're trying to basically surf. You had people 714 00:38:03,320 --> 00:38:06,160 Speaker 1: that were trying to just work out. They would stop 715 00:38:06,200 --> 00:38:09,080 Speaker 1: them sometimes if they would get arrested. They filled the 716 00:38:09,280 --> 00:38:13,080 Speaker 1: skateboarding park over in Santa Monica. With sand I mean, 717 00:38:13,120 --> 00:38:18,960 Speaker 1: it was just absolute chaos. And to see the sheeple 718 00:38:19,360 --> 00:38:22,920 Speaker 1: all fall for this and to see so many people 719 00:38:23,440 --> 00:38:27,319 Speaker 1: buy into it and comply was mind blowing to me. 720 00:38:27,640 --> 00:38:30,040 Speaker 2: But also a lot of people that did not want 721 00:38:30,080 --> 00:38:33,880 Speaker 2: to comply were forced to comply because if they didn't, 722 00:38:34,280 --> 00:38:36,160 Speaker 2: then they were going to lose their jobs, yes, and 723 00:38:36,200 --> 00:38:38,960 Speaker 2: their livelihood to you know, support their family. It was 724 00:38:39,160 --> 00:38:40,719 Speaker 2: just horrible. 725 00:38:40,840 --> 00:38:43,360 Speaker 1: It was horrible. So I want to get into a 726 00:38:43,400 --> 00:38:45,400 Speaker 1: little bit more on this and also kind of talk 727 00:38:45,440 --> 00:38:47,640 Speaker 1: about some lessons learned from it. This kind of a 728 00:38:47,719 --> 00:38:51,200 Speaker 1: silver lining from the entire COVID time, because there are 729 00:38:51,239 --> 00:38:53,920 Speaker 1: some silver linings, some big silver linings, and we're going 730 00:38:54,000 --> 00:38:55,879 Speaker 1: to get to that in part two. Join us over 731 00:38:55,880 --> 00:38:56,279 Speaker 1: there now,