1 00:00:00,160 --> 00:00:02,720 Speaker 1: Up next, The Truth with Lisa Booth. Part of the game, 2 00:00:02,759 --> 00:00:06,560 Speaker 1: which do you feel like our freedoms are slipping away 3 00:00:06,640 --> 00:00:10,160 Speaker 1: here in the United States and authoritarianism is creeping in? 4 00:00:10,680 --> 00:00:14,000 Speaker 1: I do. Do you feel like the ideals and independent 5 00:00:14,080 --> 00:00:17,040 Speaker 1: spirit that make this country great are dying a slow 6 00:00:17,120 --> 00:00:20,200 Speaker 1: and painful death. I do. This is the Truth with 7 00:00:20,280 --> 00:00:31,600 Speaker 1: Lisa Booth. Welcome back to the Truth with Lisa Booth. 8 00:00:31,720 --> 00:00:34,280 Speaker 1: I'm very excited about the second episode of my brand 9 00:00:34,320 --> 00:00:36,760 Speaker 1: new podcast. I'm going to interview the one and only 10 00:00:36,840 --> 00:00:39,160 Speaker 1: Senator Ran Paul, who has been one of the loan 11 00:00:39,360 --> 00:00:42,360 Speaker 1: voices of reason throughout the coronavirus. We're going to get 12 00:00:42,360 --> 00:00:45,080 Speaker 1: into the authoritarian overreach that we have all witnessed over 13 00:00:45,120 --> 00:00:47,520 Speaker 1: the past year, and together we will mourn the loss 14 00:00:47,520 --> 00:00:50,000 Speaker 1: of our civil liberties. But first it's time for the truth. 15 00:00:50,200 --> 00:00:53,200 Speaker 1: For the past year, government leaders have used the coronavirus 16 00:00:53,200 --> 00:00:57,600 Speaker 1: pandemic to expand their powers and exercise unprecedented control over 17 00:00:57,600 --> 00:01:00,760 Speaker 1: our lives. In so many cities and states, politicians and 18 00:01:00,760 --> 00:01:04,440 Speaker 1: government bureaucrats have tried to dictate to us when we 19 00:01:04,480 --> 00:01:07,280 Speaker 1: can go to church, eat at a restaurant, or even 20 00:01:07,319 --> 00:01:10,399 Speaker 1: see our friends in our family and Unsurprisingly, instead of 21 00:01:10,440 --> 00:01:14,840 Speaker 1: pushing the facts, the media has fearmongered and pushed a narrative. 22 00:01:15,080 --> 00:01:18,360 Speaker 1: Or leaders have failed us. The media has failed us, 23 00:01:18,560 --> 00:01:21,840 Speaker 1: and unfortunately, many leftist leaders have used the coronavirus to 24 00:01:21,880 --> 00:01:25,320 Speaker 1: expand their powers and implement drawconian measures that have led 25 00:01:25,360 --> 00:01:30,640 Speaker 1: to the destruction of so many businesses, so many suicides, depression, 26 00:01:30,880 --> 00:01:34,200 Speaker 1: and kids falling behind in school. We've seen authoritarians like 27 00:01:34,240 --> 00:01:36,560 Speaker 1: New York Governor Andrew Cuomos and the National Guard to 28 00:01:36,600 --> 00:01:39,920 Speaker 1: airports during the holidays to try to intimidate travelers from 29 00:01:40,080 --> 00:01:44,160 Speaker 1: entering and leaving. Totalitarians like Governor Gretchen Whitmer of Michigan, 30 00:01:44,280 --> 00:01:47,600 Speaker 1: who has arrested business owners for just trying to keep 31 00:01:47,600 --> 00:01:50,240 Speaker 1: the lights on, too, trying to pay the bills, businesses 32 00:01:50,240 --> 00:01:53,680 Speaker 1: that they have put their blood, their sweat, their tears into. 33 00:01:54,240 --> 00:01:58,040 Speaker 1: And bureacratic tyrants like Dr Fauci who recently said that 34 00:01:58,080 --> 00:02:00,960 Speaker 1: even if you get a vaccine, you still have the 35 00:02:01,000 --> 00:02:04,000 Speaker 1: socially distance, you still have to wear a mask. Why 36 00:02:04,000 --> 00:02:06,160 Speaker 1: do they think that they can control us? And so 37 00:02:06,200 --> 00:02:09,680 Speaker 1: many of these people are hypocrites too. They're asking you 38 00:02:09,720 --> 00:02:12,480 Speaker 1: to follow guidelines, asking you to follow rules that they 39 00:02:12,560 --> 00:02:16,399 Speaker 1: refused to follow themselves. Just look at last Thanksgiving, for example, 40 00:02:17,040 --> 00:02:20,080 Speaker 1: politicians were telling you to avoid her families. But what 41 00:02:20,120 --> 00:02:23,000 Speaker 1: do you think they were doing. California Governor Gavin Knewsome 42 00:02:23,040 --> 00:02:25,320 Speaker 1: got caught dining with a large group of people at 43 00:02:25,320 --> 00:02:29,519 Speaker 1: a three star Michelin restaurant French laundry, violating his own policies. 44 00:02:29,919 --> 00:02:32,680 Speaker 1: The mayor of Denver, Michael Hancock, told his residents not 45 00:02:32,720 --> 00:02:35,320 Speaker 1: to travel just thirty minutes before jumping out a plane 46 00:02:35,320 --> 00:02:38,400 Speaker 1: to Houston to see his family and Dr Burke's, the 47 00:02:38,400 --> 00:02:42,480 Speaker 1: former White House coronavirus response coordinator, was lecturing you to 48 00:02:42,600 --> 00:02:45,320 Speaker 1: keep celebrations within your immediate household while she was doing 49 00:02:45,360 --> 00:02:48,079 Speaker 1: the opposite. So rules for thee but not for me, 50 00:02:48,840 --> 00:02:52,280 Speaker 1: which really begs the question has it been about protecting 51 00:02:52,400 --> 00:02:55,560 Speaker 1: us or controlling us? Joe Biden really laid it all 52 00:02:55,600 --> 00:02:58,640 Speaker 1: bear during his first primetime addressed earlier this month when 53 00:02:58,680 --> 00:03:00,760 Speaker 1: he said that you know, look, if you're good, little 54 00:03:00,800 --> 00:03:03,800 Speaker 1: boys and girls, maybe just maybe you can go to 55 00:03:03,880 --> 00:03:07,280 Speaker 1: your family. By Independence Day, a day that we celebrate 56 00:03:07,280 --> 00:03:09,880 Speaker 1: the rejection of tyranny. So this is the new normal 57 00:03:10,040 --> 00:03:13,040 Speaker 1: they want for us and for what? Really? A virus 58 00:03:13,120 --> 00:03:16,280 Speaker 1: that has an overall fatality rate of around point one 59 00:03:16,320 --> 00:03:19,200 Speaker 1: to point two percent. Look, I'm not saying the coronavirus 60 00:03:19,240 --> 00:03:21,640 Speaker 1: hasn't been deadly, of course it has. We pray. We 61 00:03:21,760 --> 00:03:24,040 Speaker 1: pray for the families who have lost loved ones. We 62 00:03:24,160 --> 00:03:26,560 Speaker 1: more in the loss of our fellow Americans. Every life 63 00:03:27,000 --> 00:03:29,360 Speaker 1: is valuable. We more in the loss of every single life. 64 00:03:30,160 --> 00:03:33,520 Speaker 1: But the question of all of it, were the lockdowns necessary? 65 00:03:33,520 --> 00:03:35,520 Speaker 1: Were they the way? And all you have to do 66 00:03:35,600 --> 00:03:39,160 Speaker 1: is look at freedom loving Florida to see that the answers. No. 67 00:03:40,080 --> 00:03:42,240 Speaker 1: Florida has been open for the better part of a year. 68 00:03:42,360 --> 00:03:45,520 Speaker 1: You've got businesses open, children have been learning, the economy 69 00:03:45,520 --> 00:03:49,240 Speaker 1: has been thriving. Florida has actually seen ten consecutive months 70 00:03:49,320 --> 00:03:52,480 Speaker 1: of private sector growth while states like New York and 71 00:03:52,520 --> 00:03:56,960 Speaker 1: California were begging for federal bailouts and handouts. And on COVID, 72 00:03:57,000 --> 00:04:00,120 Speaker 1: Florida has eight percent fewer COVID desks per capita than 73 00:04:00,120 --> 00:04:02,680 Speaker 1: the rest of the nation, despite having one of the 74 00:04:02,760 --> 00:04:06,680 Speaker 1: largest elderly populations. And open, Florida did better than almost 75 00:04:06,680 --> 00:04:10,400 Speaker 1: seventy states. And what matters the most excess mortality rate, 76 00:04:10,440 --> 00:04:13,680 Speaker 1: which is taking into account all deaths, but What frustrates 77 00:04:13,720 --> 00:04:16,800 Speaker 1: me the most is that we knew early on that 78 00:04:16,880 --> 00:04:19,880 Speaker 1: these draconian measures were not the answer. There were people 79 00:04:19,920 --> 00:04:23,800 Speaker 1: like Dr John E. Needs, a Stanford epidemiologist, who warned 80 00:04:23,880 --> 00:04:27,200 Speaker 1: us a year ago that these decisions were being made 81 00:04:27,320 --> 00:04:31,080 Speaker 1: on unreliable and incomplete data. He warned us, no one listened, 82 00:04:31,320 --> 00:04:34,280 Speaker 1: and he barely got a platform. The media denied him 83 00:04:34,279 --> 00:04:38,000 Speaker 1: a platform. But even when we got better data, many cities, 84 00:04:38,040 --> 00:04:41,440 Speaker 1: many states still didn't change course. The media still pushed 85 00:04:41,440 --> 00:04:45,440 Speaker 1: and engaged in fear. We had studies last April from 86 00:04:45,480 --> 00:04:48,520 Speaker 1: New York, from Stanford, from Miami Dade County showing us 87 00:04:48,520 --> 00:04:51,320 Speaker 1: that the infectivity rates were a lot higher than we 88 00:04:51,360 --> 00:04:54,200 Speaker 1: originally thought, which in turn means that the fatality rate 89 00:04:54,240 --> 00:04:57,360 Speaker 1: was much lower than we originally thought. We also knew 90 00:04:57,400 --> 00:05:00,320 Speaker 1: back in May that the vast majority of new COVID 91 00:05:00,360 --> 00:05:03,559 Speaker 1: hospitalizations in New York were from people who are staying home, 92 00:05:03,800 --> 00:05:06,360 Speaker 1: So why keep people at home? And the medium maligned 93 00:05:06,480 --> 00:05:10,520 Speaker 1: truth tellers like Dr Ends and Dr Scott Atlas, And 94 00:05:10,560 --> 00:05:14,760 Speaker 1: they propped up liars, liars like Governor Andrew Cuomo, and 95 00:05:14,800 --> 00:05:17,320 Speaker 1: they did it to use him to go against President 96 00:05:17,360 --> 00:05:19,640 Speaker 1: Trump during an election year. They used it to try 97 00:05:19,640 --> 00:05:22,360 Speaker 1: to make President Trump look bad. But unlike Governor Ron 98 00:05:22,440 --> 00:05:25,120 Speaker 1: De Santis, who did it the right way, Cuomo mandated 99 00:05:25,120 --> 00:05:28,880 Speaker 1: that assisted living facilities in nursing homes taking COVID patients, 100 00:05:29,200 --> 00:05:32,200 Speaker 1: which led to the deaths of fifteen thousand elderly New Yorkers. 101 00:05:32,480 --> 00:05:35,640 Speaker 1: The Dealery Caller reported that almost a year ago that 102 00:05:35,720 --> 00:05:40,080 Speaker 1: Governor Cuomo was knowingly unaccounting nursing home desks, but the 103 00:05:40,120 --> 00:05:44,479 Speaker 1: mainstream media ignored it. They continue to take Cuomo's briefings, 104 00:05:44,480 --> 00:05:46,440 Speaker 1: which one him an emmy. They helped him cash in 105 00:05:46,480 --> 00:05:49,000 Speaker 1: on the pandemic as he sold his book on leadership. 106 00:05:49,720 --> 00:05:51,919 Speaker 1: They helped him lie until the election was over he 107 00:05:52,000 --> 00:05:54,880 Speaker 1: was no longer useful, and then they discarded him. And 108 00:05:54,920 --> 00:05:56,920 Speaker 1: now what do we have? His own attorney general, a 109 00:05:57,000 --> 00:06:01,480 Speaker 1: Democrat actually Tist James, discovered that Quoma was undercounting nursing 110 00:06:01,480 --> 00:06:05,400 Speaker 1: home desk by his top staff or, Melissa de Rosa, 111 00:06:05,520 --> 00:06:08,440 Speaker 1: admitted that they withheld critical data from the public to 112 00:06:08,520 --> 00:06:12,280 Speaker 1: avoid federal prosecutors under the Trump administration. So our leaders 113 00:06:12,320 --> 00:06:16,160 Speaker 1: line the media line. They pushed fear and your cronian 114 00:06:16,200 --> 00:06:19,919 Speaker 1: and unnecessary lockdowns. Businesses shut down that didn't need to 115 00:06:20,360 --> 00:06:22,359 Speaker 1: people took their lives when they could have been free, 116 00:06:23,080 --> 00:06:25,599 Speaker 1: children could have been back in school all this time. 117 00:06:25,839 --> 00:06:27,920 Speaker 1: These are leaders people, these are the people that are 118 00:06:27,920 --> 00:06:30,520 Speaker 1: in charge. We're in a fight for truth right now. 119 00:06:30,600 --> 00:06:32,800 Speaker 1: We're in a fight for freedom. And I will use 120 00:06:32,880 --> 00:06:36,400 Speaker 1: this platform, this podcast, to continue to bring you the truth, 121 00:06:36,560 --> 00:06:38,360 Speaker 1: you know, because who knows how much longer we're gonna 122 00:06:38,360 --> 00:06:40,000 Speaker 1: be able to tell it. We're gonna get into all 123 00:06:40,040 --> 00:06:43,480 Speaker 1: of this with Senator Ran Paul, the Great Senator from 124 00:06:43,520 --> 00:06:46,080 Speaker 1: the state of Kentucky, who again has been a lone 125 00:06:46,200 --> 00:06:49,159 Speaker 1: voice of reason during the coronavirus. He has taken Dr 126 00:06:49,200 --> 00:06:52,600 Speaker 1: Fauci two tasks in the Senate during Senate Committee of hearings, 127 00:06:52,600 --> 00:06:54,720 Speaker 1: and we're going to get into all of this with 128 00:06:54,800 --> 00:06:56,479 Speaker 1: him today. You're not gonna want to miss this, I 129 00:06:56,560 --> 00:07:00,680 Speaker 1: promise you. So. I'm so excited to welcome my next guest, 130 00:07:00,839 --> 00:07:03,880 Speaker 1: the great Senator from Kentucky. He has been one of 131 00:07:03,920 --> 00:07:07,920 Speaker 1: the loan voices of reason over the past few months 132 00:07:08,000 --> 00:07:10,640 Speaker 1: with COVID, and he's one of those people that when 133 00:07:10,640 --> 00:07:13,600 Speaker 1: he talks, you don't feel like you're getting a canned response. 134 00:07:13,760 --> 00:07:15,720 Speaker 1: You feel like you're getting the truth. Senator, I really 135 00:07:15,760 --> 00:07:18,680 Speaker 1: appreciate you joining us today and really appreciate you being 136 00:07:18,840 --> 00:07:20,920 Speaker 1: a you know, one of the loan voices of reason 137 00:07:21,360 --> 00:07:23,760 Speaker 1: over the past few months. I'm glad to be with you, 138 00:07:24,000 --> 00:07:26,280 Speaker 1: so thanks for having me, Senator. One of my biggest 139 00:07:26,280 --> 00:07:30,080 Speaker 1: frustrations has been that over the past few months there 140 00:07:30,080 --> 00:07:33,800 Speaker 1: seems to be this intentional fearmongering going on with the coronavirus. 141 00:07:33,800 --> 00:07:37,560 Speaker 1: And I understand early on during the coronavirus, particularly with 142 00:07:37,600 --> 00:07:39,440 Speaker 1: the fifteen days to slow the spread, I mean, we 143 00:07:39,440 --> 00:07:42,120 Speaker 1: didn't have great data. We thought the fatality rate was 144 00:07:42,160 --> 00:07:45,080 Speaker 1: much higher than it was. But then in April, even 145 00:07:45,120 --> 00:07:48,200 Speaker 1: in April, we had studies coming in from Stanford, from 146 00:07:48,240 --> 00:07:51,120 Speaker 1: New York, from Miami Dade County showing us the fatality 147 00:07:51,200 --> 00:07:54,200 Speaker 1: rate was a lot less than we actually thought. But 148 00:07:54,400 --> 00:07:57,280 Speaker 1: there wasn't a shift from the media in tone. There 149 00:07:57,360 --> 00:07:59,720 Speaker 1: wasn't a shift from a lot of state and local governments, 150 00:08:00,040 --> 00:08:02,560 Speaker 1: even with that new data that we had. Why was that. 151 00:08:02,960 --> 00:08:05,840 Speaker 1: I think it's part of the general theorem that let 152 00:08:05,920 --> 00:08:08,880 Speaker 1: no crisis go to waste. There are people who believe 153 00:08:08,960 --> 00:08:12,560 Speaker 1: in controlling your daily lives. They can believe in big government. 154 00:08:12,640 --> 00:08:15,000 Speaker 1: They believe that government should be involved in every aspect 155 00:08:15,000 --> 00:08:18,440 Speaker 1: of the economy, and they had these beliefs before the pandemic, 156 00:08:18,480 --> 00:08:21,880 Speaker 1: but the pandemic uh sort of is utilized for them 157 00:08:21,920 --> 00:08:23,800 Speaker 1: to gain more power, and then the danger is the 158 00:08:23,840 --> 00:08:26,720 Speaker 1: power doesn't come back. It's like during times of war, 159 00:08:26,840 --> 00:08:29,520 Speaker 1: civil liberties are eroded because the government says we need 160 00:08:29,560 --> 00:08:31,720 Speaker 1: to take these liberties to fight a war. Then it's 161 00:08:31,800 --> 00:08:34,079 Speaker 1: very hard to get them back afterwards. The pandemic is 162 00:08:34,160 --> 00:08:36,200 Speaker 1: like a war in the sense that the war on 163 00:08:36,240 --> 00:08:38,800 Speaker 1: this pandemic, our liberties are caught up in and as 164 00:08:38,800 --> 00:08:41,400 Speaker 1: we lose them, it's very difficult to get them back. 165 00:08:41,960 --> 00:08:44,280 Speaker 1: The reason I pushed back is because there's been so 166 00:08:44,400 --> 00:08:47,680 Speaker 1: little resistance because they say, oh, we're scientists. You know, 167 00:08:47,800 --> 00:08:51,560 Speaker 1: you couldn't possibly understand you. You deplorable you, you just 168 00:08:51,640 --> 00:08:54,959 Speaker 1: have no concept of science, so you can't push back. 169 00:08:55,360 --> 00:08:57,480 Speaker 1: But really the burden should be on these people, and 170 00:08:57,480 --> 00:09:00,320 Speaker 1: the burden should be on the government to prove that 171 00:09:00,360 --> 00:09:02,959 Speaker 1: what they're telling you to do actually has science based 172 00:09:03,000 --> 00:09:05,840 Speaker 1: on it. And that's why I say to Dr Fauci, 173 00:09:06,240 --> 00:09:09,160 Speaker 1: if you've been vaccinated or if you've had the disease, 174 00:09:09,240 --> 00:09:12,960 Speaker 1: naturally proved to us that these people are still transmitting 175 00:09:12,960 --> 00:09:16,040 Speaker 1: the disease, and the disease is circulating among us because 176 00:09:16,040 --> 00:09:18,000 Speaker 1: of those who are vaccinated and who have had it, 177 00:09:18,679 --> 00:09:21,760 Speaker 1: and it's just not true. There's no scientific evidence to 178 00:09:21,800 --> 00:09:24,400 Speaker 1: prove that. And the thing is, it also defeats their 179 00:09:24,440 --> 00:09:27,160 Speaker 1: other argument that the vaccines work. And I actually do 180 00:09:27,240 --> 00:09:30,560 Speaker 1: believe the vaccines work. There's no mass hospitalization or mass 181 00:09:30,640 --> 00:09:34,520 Speaker 1: death after the vaccine. Same with natural infection. If you 182 00:09:34,559 --> 00:09:38,439 Speaker 1: were seeing thousands or hundreds of people die from reinfection, 183 00:09:38,480 --> 00:09:41,240 Speaker 1: we would hear about it. It's actually very very rare 184 00:09:41,559 --> 00:09:44,960 Speaker 1: to get reinfected, but then almost non existent to go 185 00:09:45,040 --> 00:09:48,040 Speaker 1: to the hospital or die from a reinfection after the 186 00:09:48,120 --> 00:09:51,880 Speaker 1: vaccine or after naturally getting the disease. We're talking is 187 00:09:51,960 --> 00:09:54,920 Speaker 1: Senator rand pull from the Great State of Kentucky. More 188 00:09:55,000 --> 00:10:00,120 Speaker 1: from the Senator after a quick break. Dactor Fauci has 189 00:10:00,160 --> 00:10:02,679 Speaker 1: even said that, you know, we don't have enough data 190 00:10:02,960 --> 00:10:06,280 Speaker 1: to be able to say with confidence that vaccines prevent transmission. 191 00:10:06,360 --> 00:10:07,960 Speaker 1: He said that you should still wear a mask, you 192 00:10:07,960 --> 00:10:11,319 Speaker 1: should still socially distance even after being vaccinated. It almost 193 00:10:11,360 --> 00:10:15,280 Speaker 1: feels like they don't want us to go back to normal. Well, 194 00:10:15,280 --> 00:10:18,000 Speaker 1: think about it this way. He's saying what if he's saying, 195 00:10:18,040 --> 00:10:21,320 Speaker 1: what if the new variants escape the vaccine? What if 196 00:10:21,360 --> 00:10:24,200 Speaker 1: the new variants are so different that people previously infected 197 00:10:24,200 --> 00:10:26,640 Speaker 1: are getting the new variants. But you could also say, 198 00:10:26,679 --> 00:10:29,440 Speaker 1: what if the Spanish flu comes back? And so the 199 00:10:29,480 --> 00:10:32,200 Speaker 1: thing is that what if our argument or we could 200 00:10:32,200 --> 00:10:34,680 Speaker 1: say that this is going to mutate someday into the 201 00:10:34,720 --> 00:10:38,280 Speaker 1: Spanish fluid? Might we don't know? But should we base 202 00:10:38,440 --> 00:10:42,320 Speaker 1: all of the restrictions on human behavior the elimination of 203 00:10:42,360 --> 00:10:46,160 Speaker 1: our freedoms? Should that be based on the what if proposition? 204 00:10:46,760 --> 00:10:49,040 Speaker 1: And so no, we do need to push back, and 205 00:10:49,080 --> 00:10:51,320 Speaker 1: this is their argument you've seen if you watch the 206 00:10:51,400 --> 00:10:54,400 Speaker 1: argument closely. I think we are winning the argument because 207 00:10:54,440 --> 00:10:56,880 Speaker 1: I asked them for the scientific proof and you know, 208 00:10:56,960 --> 00:10:59,520 Speaker 1: one of the leading vaccine doctors who's probably very good 209 00:10:59,520 --> 00:11:03,240 Speaker 1: at making vaccines, but not so great at considering our freedoms, 210 00:11:03,240 --> 00:11:06,120 Speaker 1: he said, well, it's as much about civility as anything. 211 00:11:06,120 --> 00:11:08,480 Speaker 1: And I said, well, tell me when civility became a 212 00:11:08,520 --> 00:11:11,600 Speaker 1: scientific term, you know, And the thing is is to 213 00:11:11,760 --> 00:11:15,480 Speaker 1: acquiesce to non science. I don't think it's civility. I 214 00:11:15,520 --> 00:11:18,520 Speaker 1: think that submission they're looking for. Well, it's also like 215 00:11:18,720 --> 00:11:21,600 Speaker 1: you know the other side of the equation is not 216 00:11:21,800 --> 00:11:24,240 Speaker 1: considered by people like Dr Faucium, And of course we 217 00:11:24,240 --> 00:11:27,200 Speaker 1: want to consider the public health aspect. We know that 218 00:11:27,559 --> 00:11:29,520 Speaker 1: it is very deadly for the elderly. We know that 219 00:11:29,559 --> 00:11:31,640 Speaker 1: if you have co more abilities, it can be deadly. 220 00:11:31,920 --> 00:11:34,480 Speaker 1: But we've created an education crisis in the country, we 221 00:11:34,520 --> 00:11:37,000 Speaker 1: have created an economic crisis in the country, and it 222 00:11:37,360 --> 00:11:40,520 Speaker 1: feels like those parts of the occasion haven't been taken 223 00:11:40,520 --> 00:11:43,400 Speaker 1: into consideration by some of these people. Well, the other 224 00:11:43,440 --> 00:11:45,640 Speaker 1: thing is is if you look at when each of 225 00:11:45,679 --> 00:11:48,480 Speaker 1: the mandates were put in place, either mask mandates or 226 00:11:48,840 --> 00:11:52,080 Speaker 1: six feet distancing. You know, when you see when these 227 00:11:52,280 --> 00:11:56,120 Speaker 1: mitigation strategies were put in place, there's no real correlation 228 00:11:56,320 --> 00:11:59,640 Speaker 1: with after the mandates were put in place with the 229 00:11:59,679 --> 00:12:02,560 Speaker 1: in and so these disease going down. In fact, it's 230 00:12:02,600 --> 00:12:04,800 Speaker 1: sort of the opposite. As the mandates became more and 231 00:12:04,840 --> 00:12:09,679 Speaker 1: more severe, the disease continued to rise almost proportionally. So 232 00:12:09,679 --> 00:12:11,880 Speaker 1: when you get to December and January when we had 233 00:12:11,920 --> 00:12:15,160 Speaker 1: this huge spike of incidents of infections and desks, what 234 00:12:15,280 --> 00:12:17,280 Speaker 1: you had was more mandates than you've ever had. So 235 00:12:17,320 --> 00:12:21,000 Speaker 1: there's not really any objective evidence showing that the mandates 236 00:12:21,000 --> 00:12:23,800 Speaker 1: actually have reduced the incidence of the disease, and that 237 00:12:23,960 --> 00:12:26,000 Speaker 1: has to be discussed. I think there's a chance that 238 00:12:26,040 --> 00:12:28,839 Speaker 1: man did nothing until we got to the vaccine. I 239 00:12:28,920 --> 00:12:31,400 Speaker 1: think there's a chance that the gejectory of the virus 240 00:12:31,640 --> 00:12:35,800 Speaker 1: has largely been natural and largely been unaffected by man's 241 00:12:35,840 --> 00:12:39,640 Speaker 1: activities or mitigation strategies or what have you. The vaccine 242 00:12:39,720 --> 00:12:43,560 Speaker 1: is changing it and naturally acquired immunity. But it's amazing 243 00:12:43,600 --> 00:12:46,760 Speaker 1: how nobody talks about naturally acquired immunity. Thirty million of 244 00:12:46,840 --> 00:12:50,200 Speaker 1: us have had this. There's probably another thirty forty fifty 245 00:12:50,240 --> 00:12:51,960 Speaker 1: million who had it and didn't know they had it. 246 00:12:52,559 --> 00:12:55,120 Speaker 1: We should, you know, not discount that and say, oh, 247 00:12:55,120 --> 00:12:57,560 Speaker 1: it doesn't count. People are talking about not letting you 248 00:12:57,559 --> 00:12:59,920 Speaker 1: get on a plane without a vaccine. Will shouldn't have 249 00:13:00,040 --> 00:13:02,280 Speaker 1: to prove that those of us who got it don't 250 00:13:02,320 --> 00:13:05,520 Speaker 1: have immunity. This is a real problem we're gonna have. 251 00:13:05,800 --> 00:13:09,040 Speaker 1: And one of the articles printed attacking me yesterday's comment 252 00:13:09,280 --> 00:13:12,680 Speaker 1: was that in all likelihood some mandates will remain forever. 253 00:13:12,960 --> 00:13:14,959 Speaker 1: Let that sink in. Do you think they're trying to 254 00:13:15,000 --> 00:13:17,480 Speaker 1: shut you up very much? So you know, it's a 255 00:13:17,520 --> 00:13:20,160 Speaker 1: concerted effort, you know. And you've noticed that the left 256 00:13:20,160 --> 00:13:23,360 Speaker 1: wing media moves as a herd. Now, uh, you talk 257 00:13:23,440 --> 00:13:27,280 Speaker 1: about herd, lack of mentality, that's what they have. And 258 00:13:27,320 --> 00:13:30,120 Speaker 1: they do move in concert, and once one attacks, they 259 00:13:30,120 --> 00:13:32,920 Speaker 1: all attack. And so yes, I've been vocal on this 260 00:13:33,000 --> 00:13:36,280 Speaker 1: and a few other things recently, and as you've seen it, 261 00:13:36,280 --> 00:13:39,280 Speaker 1: you've seen I get attacked by ten, twenty fifty different 262 00:13:39,280 --> 00:13:41,920 Speaker 1: outlets all at once. That's the point of this podcast, 263 00:13:42,040 --> 00:13:44,480 Speaker 1: really is the group think that the media engages in 264 00:13:44,480 --> 00:13:46,719 Speaker 1: these days. Because I remember, even people like doctor you 265 00:13:46,800 --> 00:13:50,440 Speaker 1: Needs early on back in March, was talking about the 266 00:13:50,440 --> 00:13:53,520 Speaker 1: incomplete data, the fact that we were making decisions, bad 267 00:13:53,520 --> 00:13:57,080 Speaker 1: public policy decisions, off of unreliable data. And then we 268 00:13:57,120 --> 00:13:59,280 Speaker 1: get more of it and they still don't shift in tone. 269 00:13:59,360 --> 00:14:01,559 Speaker 1: But you know, previously you had talked about sort of 270 00:14:01,600 --> 00:14:05,080 Speaker 1: the loss of freedoms we're facing. Are we still a 271 00:14:05,120 --> 00:14:07,760 Speaker 1: free country? Well, in some ways, the mandates that have 272 00:14:07,800 --> 00:14:10,040 Speaker 1: been put on us are like no mandates we've ever 273 00:14:10,080 --> 00:14:12,400 Speaker 1: seen before. Think about it, when you think about what 274 00:14:12,440 --> 00:14:16,680 Speaker 1: they've told a restaurant. Essentially they have nationalized the restaurants 275 00:14:16,679 --> 00:14:18,760 Speaker 1: because you don't really own your restaurant. If you're not 276 00:14:18,800 --> 00:14:21,320 Speaker 1: allowed to open, you don't own your restaurant. If they 277 00:14:21,320 --> 00:14:26,160 Speaker 1: tell you can open with pcent capacity. These people, these bureaucrats, 278 00:14:26,160 --> 00:14:29,200 Speaker 1: know nothing about how you run a restaurant. Most restaurants 279 00:14:29,280 --> 00:14:32,000 Speaker 1: cannot make money unless they're at full capacity on Friday 280 00:14:32,040 --> 00:14:34,680 Speaker 1: and Saturday night. Many don't even open on Monday because 281 00:14:34,720 --> 00:14:36,880 Speaker 1: they can't make money on a Monday, and it gradually 282 00:14:36,920 --> 00:14:39,320 Speaker 1: improves throughout the week. But if you can tell them 283 00:14:39,400 --> 00:14:42,360 Speaker 1: they can't be open at all inside, they can't make money. 284 00:14:42,600 --> 00:14:46,080 Speaker 1: So we've destroyed that industry. We've destroyed the hotel industry. 285 00:14:46,480 --> 00:14:49,040 Speaker 1: We've destroyed the retail industry. You know, we were already 286 00:14:49,040 --> 00:14:52,040 Speaker 1: trending to buy more online, but we went from a 287 00:14:52,080 --> 00:14:55,880 Speaker 1: trend to a straight line downwards for local retail. I 288 00:14:55,920 --> 00:14:58,200 Speaker 1: don't know how a lot of the local retail comes back. 289 00:14:58,600 --> 00:15:01,480 Speaker 1: And then we made government debt enormous by just sort 290 00:15:01,480 --> 00:15:05,160 Speaker 1: of papering over this with free money. And as a consequence, 291 00:15:05,200 --> 00:15:08,440 Speaker 1: we are now going to probably have a five to 292 00:15:08,560 --> 00:15:11,200 Speaker 1: six trillion dollar deficit again this year, and that's about 293 00:15:11,240 --> 00:15:13,000 Speaker 1: what we had last year. So we're adding over ten 294 00:15:13,040 --> 00:15:15,760 Speaker 1: trillion in debt in two years. Has there ever been 295 00:15:15,800 --> 00:15:19,200 Speaker 1: a time in history where the government has voluntarily given 296 00:15:19,240 --> 00:15:22,280 Speaker 1: freedoms back that they have taken very rarely. And this 297 00:15:22,360 --> 00:15:25,640 Speaker 1: is the story mostly of war, but this is now. 298 00:15:25,680 --> 00:15:28,080 Speaker 1: We have war and famine as these two areas where 299 00:15:28,120 --> 00:15:31,680 Speaker 1: government grows large takes your freedom. And then the question 300 00:15:31,720 --> 00:15:33,560 Speaker 1: is where we ever go back to normal again? Are 301 00:15:33,600 --> 00:15:35,200 Speaker 1: they ever gonna let you on a plane without a 302 00:15:35,280 --> 00:15:38,280 Speaker 1: mask again? And see now we have been union politics 303 00:15:38,360 --> 00:15:40,920 Speaker 1: involved with this. The flight attendants who I'm sure by 304 00:15:40,920 --> 00:15:43,600 Speaker 1: now have all been vaccinated or have had this disease. 305 00:15:44,040 --> 00:15:46,600 Speaker 1: You know, you get on a plane, people forget that 306 00:15:46,680 --> 00:15:49,320 Speaker 1: you paid them. You pay them to harass you and 307 00:15:49,360 --> 00:15:51,960 Speaker 1: insult you and say, sir, you're not eating your peanuts 308 00:15:52,000 --> 00:15:54,040 Speaker 1: faced enough? Can you put your mask on in between 309 00:15:54,080 --> 00:15:57,240 Speaker 1: each peanut that you eat? And then they say, oh, well, 310 00:15:57,440 --> 00:16:00,240 Speaker 1: you know, we really protected everyone's lives. We saved was 311 00:16:00,280 --> 00:16:02,600 Speaker 1: because you only had your mask off for ten minutes 312 00:16:02,600 --> 00:16:06,240 Speaker 1: on this enclosed tube. You're flying around in the sky, 313 00:16:06,280 --> 00:16:08,920 Speaker 1: so there's no science behind any of this. You sit 314 00:16:09,320 --> 00:16:11,640 Speaker 1: three inches from someone on the plane and then when 315 00:16:11,640 --> 00:16:13,640 Speaker 1: you get off that I could be very careful to 316 00:16:13,760 --> 00:16:16,080 Speaker 1: socially distanced as you get extraed the plane and be 317 00:16:16,200 --> 00:16:17,760 Speaker 1: six ft from the person in front of you. And 318 00:16:17,840 --> 00:16:22,239 Speaker 1: it's like complete nonsense, pseudo science, not even a semblance 319 00:16:22,280 --> 00:16:25,560 Speaker 1: of science, and yet we all meekly are submitting to it. 320 00:16:25,880 --> 00:16:28,960 Speaker 1: So we do have to have more resistance, the best resistance. 321 00:16:29,000 --> 00:16:31,200 Speaker 1: I've seen this from the restaurant owners, and in my 322 00:16:31,280 --> 00:16:33,520 Speaker 1: state they finally stood up to the governor and said, hell, no, 323 00:16:33,640 --> 00:16:35,880 Speaker 1: we're not gonna listen to you anymore. Well, it really 324 00:16:35,960 --> 00:16:38,640 Speaker 1: is anti science. And to that point, I remember before 325 00:16:38,680 --> 00:16:40,520 Speaker 1: I left New York because it wasn't free, and I 326 00:16:40,560 --> 00:16:43,240 Speaker 1: moved to Florida to be free. But I was out. 327 00:16:43,280 --> 00:16:45,040 Speaker 1: I was meeting a friend at lunch in New York 328 00:16:45,080 --> 00:16:46,960 Speaker 1: City and I walked up to the restaurant. I wasn't 329 00:16:46,960 --> 00:16:50,120 Speaker 1: wearing a mask mask, and everyone, of course outdoor dining 330 00:16:50,160 --> 00:16:52,160 Speaker 1: wasn't wearing a mask. And I was told by the 331 00:16:52,200 --> 00:16:53,800 Speaker 1: hostess that I had to put a mask on. And 332 00:16:53,800 --> 00:16:56,680 Speaker 1: I was like, well, ma'am, you know these people don't 333 00:16:56,720 --> 00:16:58,960 Speaker 1: have masks on and they're not socially distanced or not 334 00:16:59,000 --> 00:17:00,760 Speaker 1: six ft apart. And she's like, yeah, but they're eating 335 00:17:00,800 --> 00:17:02,520 Speaker 1: and I was like, well, in fairness, like COVID doesn't 336 00:17:02,520 --> 00:17:05,720 Speaker 1: differentiate between Okay, well you're eating you know, if I'm 337 00:17:05,720 --> 00:17:08,639 Speaker 1: not gonna mess with you, But you are just standing around, 338 00:17:08,680 --> 00:17:10,560 Speaker 1: so like I got you. It's like none of this 339 00:17:10,640 --> 00:17:13,760 Speaker 1: makes sense. Well, at Lisa, you are not woke enough 340 00:17:13,840 --> 00:17:16,320 Speaker 1: to the science of this. If you're out protesting in 341 00:17:16,359 --> 00:17:19,399 Speaker 1: the street against racism, you can't get COVID. But if 342 00:17:19,440 --> 00:17:22,520 Speaker 1: you're out protesting and against an election outcome or an 343 00:17:22,520 --> 00:17:25,199 Speaker 1: election you think was rigged, then you can get it. 344 00:17:25,280 --> 00:17:28,240 Speaker 1: So it depends on what you're protesting against. But it's absurd, 345 00:17:28,640 --> 00:17:31,280 Speaker 1: and so the absurdity of that people are seeing through that. 346 00:17:31,680 --> 00:17:34,199 Speaker 1: Ask anybody who's been to a restaurant. We walk in, 347 00:17:34,320 --> 00:17:36,600 Speaker 1: everybody looks up at the door and you see four 348 00:17:36,640 --> 00:17:39,280 Speaker 1: other people smiling at you without their mask on, and 349 00:17:39,320 --> 00:17:41,600 Speaker 1: the hostess says, well, can you please put your mask 350 00:17:41,680 --> 00:17:44,159 Speaker 1: on to walk the ten steps to your table? So 351 00:17:44,240 --> 00:17:47,960 Speaker 1: everybody does it. Everybody submits absolutely no signs that it 352 00:17:47,960 --> 00:17:49,720 Speaker 1: does anything, because then you're gonna sit for an hour 353 00:17:49,760 --> 00:17:51,919 Speaker 1: in the restaurant with four hunder people with their mask all. 354 00:17:52,320 --> 00:17:54,800 Speaker 1: So there's no science in any of this. But the 355 00:17:54,840 --> 00:17:57,840 Speaker 1: thing is, it doesn't mean that we don't care about individuals. 356 00:17:58,119 --> 00:18:00,240 Speaker 1: I really do, And it's very important that we tell 357 00:18:00,280 --> 00:18:03,040 Speaker 1: the truth. The truth is this is a deadly diseased 358 00:18:03,040 --> 00:18:05,720 Speaker 1: for the elderly and for the obese. They don't mention 359 00:18:05,760 --> 00:18:09,520 Speaker 1: that elderly and the obese. The other thing they don't mention. 360 00:18:09,560 --> 00:18:11,960 Speaker 1: If Dr Fauci wanted to save lives, he could be 361 00:18:12,000 --> 00:18:15,359 Speaker 1: saying on his four trips to see Ann each day 362 00:18:15,560 --> 00:18:17,800 Speaker 1: is that you can have your life saved if you 363 00:18:17,880 --> 00:18:21,520 Speaker 1: get the monoclonal antibodies before you get too sick. But 364 00:18:21,560 --> 00:18:23,879 Speaker 1: if you wait too long, they won't give them to you, 365 00:18:23,960 --> 00:18:26,000 Speaker 1: and you'll go to the ventilator and you may well die. 366 00:18:26,480 --> 00:18:29,040 Speaker 1: But if you're getting a bronchitis, if you have COVID, 367 00:18:29,480 --> 00:18:32,520 Speaker 1: the cough gets worse, you should not wait until you 368 00:18:32,600 --> 00:18:35,240 Speaker 1: get deathly ill. You've got to go in early enough. 369 00:18:35,560 --> 00:18:38,840 Speaker 1: Because the irony of this is the monoclonal antibodies can 370 00:18:38,840 --> 00:18:40,520 Speaker 1: save your life, but you've got to get him early. 371 00:18:40,600 --> 00:18:43,600 Speaker 1: This is what President Trump got, Juliani got it, Chris 372 00:18:43,680 --> 00:18:46,080 Speaker 1: Christie got it. I have two family members whose lives 373 00:18:46,080 --> 00:18:48,480 Speaker 1: were saved by the monoclonal antibodies. But do you ever 374 00:18:48,560 --> 00:18:51,600 Speaker 1: hear Fauci saying anything about it on TV that would 375 00:18:51,640 --> 00:18:55,000 Speaker 1: actually save lives now, he's busy wearing three masks, strutting 376 00:18:55,000 --> 00:18:57,879 Speaker 1: around and you know, getting books written about him and 377 00:18:58,200 --> 00:19:01,560 Speaker 1: everybody calling him the world's best doctor. What in reality, 378 00:19:01,600 --> 00:19:03,879 Speaker 1: all he is is a TV pundit and really a 379 00:19:04,720 --> 00:19:08,239 Speaker 1: left wing advocate for elitism. Why don't we hear more 380 00:19:08,280 --> 00:19:11,280 Speaker 1: about the monoclonal because you're right, someone had told me 381 00:19:11,359 --> 00:19:14,879 Speaker 1: that it cuts hospitalizations by something like seventy But you're right, 382 00:19:14,920 --> 00:19:17,040 Speaker 1: we don't hear about it. So why is that? Because 383 00:19:17,040 --> 00:19:19,199 Speaker 1: they're too busy telling us what to do and bossing 384 00:19:19,240 --> 00:19:21,800 Speaker 1: us around with pseudo science. The monoclonal out of bodies 385 00:19:21,880 --> 00:19:23,639 Speaker 1: is real science. But the reason why it needs to 386 00:19:23,720 --> 00:19:26,639 Speaker 1: have a public service announcement is that there's a window 387 00:19:26,680 --> 00:19:29,640 Speaker 1: of time. So if you wait too long, Let's say 388 00:19:29,680 --> 00:19:31,880 Speaker 1: you just say, you know, I'm never sick, and I'm 389 00:19:31,920 --> 00:19:33,760 Speaker 1: staying at home, and I'm staying at home, and then 390 00:19:33,800 --> 00:19:35,000 Speaker 1: all of a sudden you wake up one more and 391 00:19:35,080 --> 00:19:36,720 Speaker 1: you can't breathe it all. You get there and your 392 00:19:36,920 --> 00:19:39,920 Speaker 1: oxygen nation is seventy five or eighty, and they're thinking 393 00:19:39,920 --> 00:19:41,520 Speaker 1: about a ventilator, and you say, can I have the 394 00:19:41,520 --> 00:19:44,680 Speaker 1: monoclonal out of bodies? It's actually too late. So this 395 00:19:44,760 --> 00:19:47,320 Speaker 1: is an argument for people thinking about it as they're 396 00:19:47,320 --> 00:19:49,880 Speaker 1: getting worse. The doctor has to help guide the therapy. 397 00:19:50,280 --> 00:19:53,119 Speaker 1: But if you're getting a bronchitis, you're beginning to cough 398 00:19:53,200 --> 00:19:55,480 Speaker 1: more and more. You can also get the O two 399 00:19:55,480 --> 00:19:58,040 Speaker 1: saturation devices for thirty five bucks or so. You can 400 00:19:58,080 --> 00:20:00,880 Speaker 1: get them online. If you're O two is dropping so 401 00:20:01,200 --> 00:20:04,520 Speaker 1: normally you're like nine seven, or if you're starting to 402 00:20:04,600 --> 00:20:07,639 Speaker 1: cough in your two, you probably need to go in. 403 00:20:07,800 --> 00:20:11,240 Speaker 1: If you're over sixty, definitely you go in. But even 404 00:20:11,280 --> 00:20:14,119 Speaker 1: people at a younger age who have a weight issue 405 00:20:14,480 --> 00:20:17,480 Speaker 1: and their oxygenation goes down and they're coughing need to 406 00:20:17,480 --> 00:20:20,240 Speaker 1: go in because you know this other thing Dr Fauci 407 00:20:20,240 --> 00:20:21,840 Speaker 1: and the government tells you have to be over sixty, 408 00:20:21,840 --> 00:20:24,719 Speaker 1: Well that's ridiculous. If you're forty and your forty pounds 409 00:20:24,720 --> 00:20:27,840 Speaker 1: overweight and you're coughing and you have COVID, you need 410 00:20:27,880 --> 00:20:30,520 Speaker 1: the monoclone a lant of bodies despite your age. It's 411 00:20:30,520 --> 00:20:33,320 Speaker 1: not just a loss of freedom with COVID. I feel 412 00:20:33,320 --> 00:20:35,879 Speaker 1: like we live in this bizarro world now where you 413 00:20:35,920 --> 00:20:38,840 Speaker 1: know up is down, down is up. Nothing makes sense anymore. 414 00:20:39,160 --> 00:20:42,040 Speaker 1: I mean, right now we have the National Guard, essentially 415 00:20:42,040 --> 00:20:45,960 Speaker 1: fortifying Washington, d C. The National Guard, who have essentially 416 00:20:45,960 --> 00:20:48,000 Speaker 1: been vetted to make sure that you know, they're not 417 00:20:48,560 --> 00:20:52,359 Speaker 1: pro Trump. How concerned should we all be about the 418 00:20:52,400 --> 00:20:55,119 Speaker 1: direction or country just seems to be heading. Well, you know, 419 00:20:55,200 --> 00:20:57,240 Speaker 1: I got a message the other day. They're now teaching 420 00:20:57,320 --> 00:21:01,119 Speaker 1: you know, critical race theory in the military, which basically 421 00:21:01,119 --> 00:21:03,840 Speaker 1: means they're teaching that America is a terrible country founded 422 00:21:03,920 --> 00:21:06,800 Speaker 1: on slavery and founded on hatred, and then it's gotten worse, 423 00:21:06,880 --> 00:21:09,320 Speaker 1: can't get anywhere in life because people hate you because 424 00:21:09,320 --> 00:21:12,280 Speaker 1: of the color your skin. This is the opposite of 425 00:21:12,320 --> 00:21:15,359 Speaker 1: the truth. We are a great country, and we're a 426 00:21:15,359 --> 00:21:18,080 Speaker 1: country that has gotten better, even in my lifetime. Every 427 00:21:18,080 --> 00:21:22,000 Speaker 1: decade we've gotten less, less racism and less hostility. We 428 00:21:22,040 --> 00:21:24,560 Speaker 1: have more inner marriage among the races. We have more 429 00:21:24,600 --> 00:21:28,439 Speaker 1: integration of our churches voluntarily. There's no public company in 430 00:21:28,520 --> 00:21:31,320 Speaker 1: a country that discriminates based on race. There's no college, 431 00:21:31,640 --> 00:21:34,280 Speaker 1: no medical school, no law school, no nursing school that 432 00:21:34,280 --> 00:21:37,520 Speaker 1: discriminates on race. We are headed towards a better time. 433 00:21:37,960 --> 00:21:40,720 Speaker 1: And yet in the last two years, the left has 434 00:21:40,760 --> 00:21:44,280 Speaker 1: decided we're a terrible country getting worse. Everyone hates each other, 435 00:21:44,720 --> 00:21:46,880 Speaker 1: and it's a bad message to send. If you want 436 00:21:46,880 --> 00:21:50,240 Speaker 1: to send optimism to people of color who are teenagers 437 00:21:50,240 --> 00:21:53,240 Speaker 1: and coming out of school, I say the opposite. There's 438 00:21:53,320 --> 00:21:55,600 Speaker 1: never ever been a better time to be alive if 439 00:21:55,600 --> 00:21:57,920 Speaker 1: you're a minority, whether it's a minority by skin or 440 00:21:57,960 --> 00:22:00,440 Speaker 1: the shade of your ideology. We are a much more 441 00:22:00,480 --> 00:22:03,159 Speaker 1: open society than at any time in the history of 442 00:22:03,160 --> 00:22:05,960 Speaker 1: the world. But you have colleagues in the Senate that 443 00:22:06,000 --> 00:22:08,240 Speaker 1: are engaging in this. I mean, just recently a senator 444 00:22:08,280 --> 00:22:11,560 Speaker 1: is Mazie Herono Tammy Duckworth, so that they're not going 445 00:22:11,640 --> 00:22:14,800 Speaker 1: to vote for people for cabinet positions unless they're racial minorities. 446 00:22:14,800 --> 00:22:17,520 Speaker 1: I mean, imagine if a Republican said they're only going 447 00:22:17,560 --> 00:22:20,640 Speaker 1: to vote for white you know, cabinet officials. Of course 448 00:22:20,680 --> 00:22:22,639 Speaker 1: that would be a racist I mean, isn't that a 449 00:22:22,720 --> 00:22:26,600 Speaker 1: racist approach from your colleagues there? Well, that's the real question, 450 00:22:26,640 --> 00:22:29,520 Speaker 1: and they don't seem to be very self reflective about it. Yes, 451 00:22:29,560 --> 00:22:32,600 Speaker 1: if you base your decisions on someone's sexuality or the 452 00:22:32,600 --> 00:22:35,080 Speaker 1: color of their skin, even if you say, oh, I'm 453 00:22:35,119 --> 00:22:38,560 Speaker 1: only for the lgbt Q, that's equally as racist and 454 00:22:38,560 --> 00:22:42,040 Speaker 1: bigoted as someone who says the opposite. And I can 455 00:22:42,080 --> 00:22:44,680 Speaker 1: tell you honestly, I've never ever voted for against someone 456 00:22:44,720 --> 00:22:47,159 Speaker 1: based on anything with their lifestyle or anything with the 457 00:22:47,240 --> 00:22:50,000 Speaker 1: color of their skin. In fact, often if it's not 458 00:22:50,080 --> 00:22:52,280 Speaker 1: someone i've met, I actually don't even know the race 459 00:22:52,359 --> 00:22:54,879 Speaker 1: of the person. But we go on the issues and 460 00:22:54,920 --> 00:22:58,480 Speaker 1: we go on their beliefs. It's just wrong for people 461 00:22:58,520 --> 00:23:01,840 Speaker 1: to be preaching this about this critical race theory, that 462 00:23:01,880 --> 00:23:04,920 Speaker 1: everything is about racism and white people are terrible. You 463 00:23:04,960 --> 00:23:07,280 Speaker 1: had Coca Cola telling their employees they had to stand 464 00:23:07,359 --> 00:23:09,800 Speaker 1: like in front of a poster of mouth saying white 465 00:23:09,840 --> 00:23:11,919 Speaker 1: people are terrible. I'm a terrible person because I have 466 00:23:11,960 --> 00:23:15,520 Speaker 1: opinions and I apologize for being white. I mean, what 467 00:23:15,680 --> 00:23:19,160 Speaker 1: kind of bizarre world is that? I totally agree. Let's 468 00:23:19,200 --> 00:23:20,880 Speaker 1: dig into that a little bit further after the break 469 00:23:21,000 --> 00:23:29,800 Speaker 1: back in the sec Well, it really worries me because 470 00:23:29,880 --> 00:23:33,280 Speaker 1: especially with young kids, because we're almost indoctrinating kids to 471 00:23:33,400 --> 00:23:36,080 Speaker 1: see race and that divides people. I mean, we should 472 00:23:36,080 --> 00:23:38,600 Speaker 1: be teaching kids that, you know, we're all human beings, 473 00:23:38,640 --> 00:23:41,800 Speaker 1: we're all God's children, as opposed to putting that in 474 00:23:41,840 --> 00:23:44,240 Speaker 1: their heads, you know, early on, especially at such a 475 00:23:44,280 --> 00:23:46,200 Speaker 1: young age, when kids are so pure and they just 476 00:23:46,240 --> 00:23:49,400 Speaker 1: see each other as you know, just human beings. And 477 00:23:49,520 --> 00:23:51,760 Speaker 1: so I really worry that we're just sort of teaching 478 00:23:51,800 --> 00:23:55,640 Speaker 1: this division at such a young age. And I don't 479 00:23:55,720 --> 00:23:58,160 Speaker 1: think that's gonna lead to a you know, a United 480 00:23:58,200 --> 00:24:02,200 Speaker 1: States of America. And actually, other than the woke people, 481 00:24:02,240 --> 00:24:05,640 Speaker 1: when all the propaganda of the last year or two, UM, 482 00:24:05,680 --> 00:24:08,480 Speaker 1: what I've noticed in the young people, either my kids 483 00:24:08,480 --> 00:24:11,240 Speaker 1: are around people who know who are friends of their kids, 484 00:24:11,480 --> 00:24:14,600 Speaker 1: they don't notice race at all. And they really don't 485 00:24:15,119 --> 00:24:18,160 Speaker 1: notice or say anything about sexuality either. They're just don't 486 00:24:18,440 --> 00:24:20,840 Speaker 1: They're very just you know, people are who they are, 487 00:24:21,359 --> 00:24:23,240 Speaker 1: and they don't say this is my black friend or 488 00:24:23,240 --> 00:24:25,560 Speaker 1: my Hispanic friend. They just say is my friend John 489 00:24:25,680 --> 00:24:28,120 Speaker 1: or Sam or whatever their name is. And the thing 490 00:24:28,200 --> 00:24:30,600 Speaker 1: is they don't see it that way. But it's all 491 00:24:30,640 --> 00:24:33,840 Speaker 1: these class warriors and race warriors and people who have 492 00:24:33,880 --> 00:24:37,360 Speaker 1: an agenda that are pushing this. But the normal culture, 493 00:24:37,560 --> 00:24:41,640 Speaker 1: other than sort of this crazy wokenus, aren't paying attention 494 00:24:41,680 --> 00:24:44,359 Speaker 1: to And we've been going in a good direction downplaying 495 00:24:44,440 --> 00:24:47,080 Speaker 1: race for a long time, um, but it's really been 496 00:24:47,160 --> 00:24:49,200 Speaker 1: gend up. It's gotten a lot worse than the last 497 00:24:49,200 --> 00:24:52,399 Speaker 1: two years by people who I think have a self 498 00:24:52,480 --> 00:24:56,480 Speaker 1: interest or some sort of ulterior motives. But how do 499 00:24:56,520 --> 00:24:59,480 Speaker 1: we counteract it? Because my fear right now is we're 500 00:24:59,480 --> 00:25:03,439 Speaker 1: at a play where left is control every institution. Right so, 501 00:25:03,720 --> 00:25:06,000 Speaker 1: they control the federal government right now, they're in charge. 502 00:25:06,480 --> 00:25:09,800 Speaker 1: They control education. We're seeing that in the doctrination the 503 00:25:09,840 --> 00:25:12,200 Speaker 1: critical race theory that's being taught in so many schools 504 00:25:12,240 --> 00:25:15,879 Speaker 1: across America, especially in the public school system. They control 505 00:25:16,160 --> 00:25:19,199 Speaker 1: big tech, as we saw with the shutting down of 506 00:25:19,280 --> 00:25:22,560 Speaker 1: that New York Post article about Hunter Biden kicking President 507 00:25:22,560 --> 00:25:26,199 Speaker 1: Trump off of Twitter. Uh, they control corporations. I mean, 508 00:25:26,240 --> 00:25:29,280 Speaker 1: the list goes on. So if they're in a position 509 00:25:29,400 --> 00:25:31,880 Speaker 1: of being able to control the conversation, control the flow 510 00:25:31,920 --> 00:25:34,720 Speaker 1: of information to US American citizens, and then they have 511 00:25:34,760 --> 00:25:36,119 Speaker 1: the power to come in and say, you know what, 512 00:25:36,160 --> 00:25:39,720 Speaker 1: you're not saying what I want. You're gone, your contracts over, 513 00:25:40,119 --> 00:25:43,160 Speaker 1: you're fired, you're off you know your offer platform, you're 514 00:25:43,200 --> 00:25:45,280 Speaker 1: off Twitter. How do we, I mean, what do we 515 00:25:45,359 --> 00:25:49,000 Speaker 1: do as conservatives? Like, how do you fight back? You know, 516 00:25:49,040 --> 00:25:51,840 Speaker 1: the cancel culture is strong and getting stronger, and I 517 00:25:51,840 --> 00:25:55,119 Speaker 1: think we have to find ulterior methods. You are an 518 00:25:55,160 --> 00:25:57,679 Speaker 1: ulterior method. Now do you have your own program and 519 00:25:57,680 --> 00:26:00,800 Speaker 1: you're doing very well. UM, that's one way, and I 520 00:26:00,880 --> 00:26:02,879 Speaker 1: think competition is ultimately the way you do it in 521 00:26:02,880 --> 00:26:05,240 Speaker 1: a free market. There are some who want to break 522 00:26:05,320 --> 00:26:07,600 Speaker 1: up big tech, and I get mad at big tech 523 00:26:07,680 --> 00:26:10,000 Speaker 1: every day. I mean, look, YouTube took down a speech 524 00:26:10,040 --> 00:26:13,120 Speaker 1: I gave on the Senate floor talking about Eric chi Rmela, 525 00:26:13,359 --> 00:26:17,240 Speaker 1: this guy who worked with m Adam Shift's team and 526 00:26:17,280 --> 00:26:19,400 Speaker 1: worked with the Vinman brothers and I think was part 527 00:26:19,440 --> 00:26:23,399 Speaker 1: of getting the impeachment process going. YouTube basically took that down. 528 00:26:23,640 --> 00:26:26,040 Speaker 1: I was in a committee hearing with Ron Johnson talking 529 00:26:26,080 --> 00:26:29,879 Speaker 1: about UM, some early treatment for COVID before you're in 530 00:26:29,880 --> 00:26:32,679 Speaker 1: the hospital that many doctors were employing, and I've been 531 00:26:32,680 --> 00:26:36,080 Speaker 1: employing across country. YouTube took it down. So I'm aware 532 00:26:36,080 --> 00:26:39,240 Speaker 1: of the censorship and it infuriates me. But I'm looking 533 00:26:39,240 --> 00:26:41,760 Speaker 1: for alternatives. I'm looking for ways to get off of 534 00:26:41,800 --> 00:26:45,120 Speaker 1: their media, get off of big text media, and get 535 00:26:45,119 --> 00:26:47,679 Speaker 1: to people through the internet through my own portal. And 536 00:26:47,720 --> 00:26:49,960 Speaker 1: I think there still is an opportunity for that. And 537 00:26:50,000 --> 00:26:52,159 Speaker 1: I tell people not to give up too quickly on 538 00:26:52,200 --> 00:26:54,960 Speaker 1: our beliefs against big government and use big government to 539 00:26:54,960 --> 00:26:57,600 Speaker 1: break up tech that we don't like, but rather to 540 00:26:57,680 --> 00:27:00,520 Speaker 1: attack it from the competitive angle. Dan by Gino just 541 00:27:00,560 --> 00:27:04,040 Speaker 1: got a big radio program. You know, there's there's definitely 542 00:27:04,119 --> 00:27:07,000 Speaker 1: other places that you can go on the internet, and 543 00:27:07,040 --> 00:27:08,840 Speaker 1: I think we just have to find these and start 544 00:27:08,920 --> 00:27:11,960 Speaker 1: leaving them in droves, and when they feel in the pocketbook, um, 545 00:27:12,040 --> 00:27:14,480 Speaker 1: we'll have made our victory and then we can spend 546 00:27:14,480 --> 00:27:16,960 Speaker 1: our time and our money and our effort on other 547 00:27:17,080 --> 00:27:20,080 Speaker 1: portals to information. Senator, I want to thank you for 548 00:27:20,160 --> 00:27:22,159 Speaker 1: your time. I want to thank you for continuing to 549 00:27:22,240 --> 00:27:25,480 Speaker 1: be a voice of reason. We still appreciate you today. 550 00:27:25,560 --> 00:27:28,119 Speaker 1: Thank you so much. Thanks a lot. Listen before we go, 551 00:27:28,200 --> 00:27:30,520 Speaker 1: I want to thank Senator Rampaul again for such an 552 00:27:30,520 --> 00:27:33,199 Speaker 1: awesome interview. If you enjoyed today's show, please leave us 553 00:27:33,240 --> 00:27:36,440 Speaker 1: a review and read us with five stars on Apple Podcasts. 554 00:27:36,480 --> 00:27:38,680 Speaker 1: You can also find me on Twitter and Instagram at 555 00:27:38,760 --> 00:27:41,960 Speaker 1: Lisa Rebooth. And special thanks to our producer John Cassio, 556 00:27:42,119 --> 00:27:45,600 Speaker 1: researcher Margaret Smith, and executive producer is Debbie Myers, and 557 00:27:45,680 --> 00:27:48,960 Speaker 1: speaker New Gingrich, all part of the Gingridge three sixty network.