1 00:00:00,120 --> 00:00:02,680 Speaker 1: Right Hour two Sean Hannity Show, eight hundred and nine 2 00:00:02,720 --> 00:00:04,200 Speaker 1: for one, Shawn a number, you want to be a 3 00:00:04,200 --> 00:00:07,080 Speaker 1: part of the program. Twenty six days Americans held hostage 4 00:00:07,120 --> 00:00:11,320 Speaker 1: there behind enemy lines. But in just let's see five 5 00:00:11,560 --> 00:00:15,800 Speaker 1: days from now. The race to recall Gavin Newsom, now, 6 00:00:15,800 --> 00:00:17,840 Speaker 1: of course has been early voting that's been going on 7 00:00:17,920 --> 00:00:20,400 Speaker 1: for weeks, and millions and millions of ballots have been 8 00:00:20,400 --> 00:00:23,919 Speaker 1: sent out. You got Kamala Harris. We won't let what's 9 00:00:23,960 --> 00:00:27,200 Speaker 1: happening in Texas and Georgia happen in California. Here's what 10 00:00:27,280 --> 00:00:35,479 Speaker 1: she said, going to get this done out here. She 11 00:00:35,720 --> 00:00:39,200 Speaker 1: is a horrible candidate, by the way. So I'm watching, 12 00:00:39,240 --> 00:00:42,640 Speaker 1: and we actually aired this on Hannity last night on television, 13 00:00:42,640 --> 00:00:45,920 Speaker 1: and it's enough to make anybody's stomach turn. Gavin Newsom 14 00:00:45,920 --> 00:00:49,520 Speaker 1: refused to condemn the racist democrat who assaulted Larry Elder. 15 00:00:49,800 --> 00:00:53,480 Speaker 1: He had literally the La Times using language I don't 16 00:00:53,479 --> 00:00:57,240 Speaker 1: even want to repeat race language about Larry Elder. And 17 00:00:57,280 --> 00:00:59,200 Speaker 1: I'll give him a chance to respond on a second, 18 00:00:59,200 --> 00:01:02,800 Speaker 1: but listen to this one in particular anti Larry Elder 19 00:01:02,920 --> 00:01:08,800 Speaker 1: protester shouting that all these attacks against him up I 20 00:01:08,800 --> 00:01:10,920 Speaker 1: don't understand that here's a man that don't even let 21 00:01:11,040 --> 00:01:14,280 Speaker 1: us own people and running for governors for what he 22 00:01:14,400 --> 00:01:16,560 Speaker 1: has one year to do. If he even wins, he 23 00:01:16,600 --> 00:01:19,520 Speaker 1: can't do He wouldn't he ever getting nothing to do? 24 00:01:19,600 --> 00:01:23,319 Speaker 1: So why is he running Democratic to throw everything? He 25 00:01:23,360 --> 00:01:26,560 Speaker 1: could get nothing done? Larry Elda now joins us. But 26 00:01:26,680 --> 00:01:29,319 Speaker 1: just what five days to go? It's next Tuesday, the 27 00:01:29,360 --> 00:01:34,080 Speaker 1: election the fourteenth in California. The recall question one, do 28 00:01:34,120 --> 00:01:37,200 Speaker 1: you want to recall Gavin Knewsome? Question two? Well, who 29 00:01:37,200 --> 00:01:39,600 Speaker 1: do you want to want to replace him? In? Larry 30 00:01:39,600 --> 00:01:42,640 Speaker 1: Elder's winning by double digits, he joins us. Now, how 31 00:01:42,640 --> 00:01:46,479 Speaker 1: are you sir? Well, Sean, I'm feeling above. How are 32 00:01:46,480 --> 00:01:50,600 Speaker 1: you doing? It's great to have you back. Um, I've 33 00:01:50,600 --> 00:01:53,760 Speaker 1: been watching I watched yesterday in particular. You know, liberals 34 00:01:53,760 --> 00:01:55,880 Speaker 1: have horrible lame by the way, I've seen this before 35 00:01:56,600 --> 00:01:58,640 Speaker 1: and Coulter once used that line when a guy tried 36 00:01:58,680 --> 00:02:03,280 Speaker 1: to throw a pie at her and but it's dangerous 37 00:02:03,320 --> 00:02:06,520 Speaker 1: out there. But this would be the biggest headline in 38 00:02:06,600 --> 00:02:09,880 Speaker 1: every newspaper about how angry the left is if in 39 00:02:09,960 --> 00:02:13,280 Speaker 1: fact it happened to be you know, a Democrat, well 40 00:02:13,280 --> 00:02:14,799 Speaker 1: of course it would. And you know, you know this 41 00:02:14,960 --> 00:02:17,160 Speaker 1: double standard. You've not been talking about it for decades. 42 00:02:17,240 --> 00:02:20,280 Speaker 1: If I were a liberal and somebody wearing a gorilla mask, 43 00:02:20,440 --> 00:02:23,120 Speaker 1: white woman threw an egg at me, they'd be yelling 44 00:02:23,120 --> 00:02:28,440 Speaker 1: and screaming about systemic racism, foundational racism, endemic racism, overt racism, YadA. Black. 45 00:02:29,160 --> 00:02:31,480 Speaker 1: But when it happens to a black Republican, nobody cares. 46 00:02:31,560 --> 00:02:33,480 Speaker 1: And again, John, you know, I don't play the race guard. 47 00:02:33,480 --> 00:02:35,240 Speaker 1: I'm not asking people to vote for me because I'm 48 00:02:35,280 --> 00:02:37,680 Speaker 1: black or giftly because I'm black. We're just talking about 49 00:02:37,680 --> 00:02:39,960 Speaker 1: the double standard here. The other day there was a 50 00:02:39,960 --> 00:02:41,880 Speaker 1: fun page or article about me in the New York Times. 51 00:02:41,880 --> 00:02:44,360 Speaker 1: It was negative. It never once mentioned that I'm black, 52 00:02:44,639 --> 00:02:46,560 Speaker 1: never once mentioned that I'd be the first black governor 53 00:02:46,560 --> 00:02:48,919 Speaker 1: of California. Again, I'm not making any kind of big 54 00:02:48,919 --> 00:02:51,120 Speaker 1: deal out about that. But on the very same page, 55 00:02:51,240 --> 00:02:53,560 Speaker 1: right across the right, across the page was a big 56 00:02:53,639 --> 00:02:56,320 Speaker 1: article about quote, the first female governor of New York 57 00:02:56,360 --> 00:02:58,519 Speaker 1: close quote. Even though she didn't run and win, she 58 00:02:58,639 --> 00:03:01,120 Speaker 1: succeeded to it because almost down they made a big 59 00:03:01,160 --> 00:03:03,400 Speaker 1: deal out of her being the first female. But I'm 60 00:03:03,440 --> 00:03:05,200 Speaker 1: not even mentioned. My race isn't even mentioned in the 61 00:03:05,240 --> 00:03:07,120 Speaker 1: New York Times. This is the kind of double standard 62 00:03:07,120 --> 00:03:08,760 Speaker 1: that you and I've talked about for a long time. 63 00:03:08,919 --> 00:03:10,920 Speaker 1: And one more quick point, Sean, before you jump back in. 64 00:03:11,120 --> 00:03:14,359 Speaker 1: You mentioned all these outsiders kind of steralize this race. 65 00:03:14,440 --> 00:03:19,480 Speaker 1: Whether it's Kamala Harris or Bernie Sanders or Barack Obama, 66 00:03:19,800 --> 00:03:23,160 Speaker 1: nobody has uttered the following word, Sean, Gavin Newsom has 67 00:03:23,200 --> 00:03:26,600 Speaker 1: done a good job for California. Nobody says that because 68 00:03:26,639 --> 00:03:29,280 Speaker 1: they can on crime. They can't on homelessness. They can't 69 00:03:29,280 --> 00:03:30,959 Speaker 1: on the way he's shut down the state and the 70 00:03:31,080 --> 00:03:33,600 Speaker 1: more severe way than did the other forty nine governess. 71 00:03:33,720 --> 00:03:36,200 Speaker 1: They can't on the declining quality of our public education. 72 00:03:36,400 --> 00:03:39,040 Speaker 1: They can't talk about the fact that for the first 73 00:03:39,040 --> 00:03:41,920 Speaker 1: part of this year, more businesses have left California than 74 00:03:41,960 --> 00:03:44,080 Speaker 1: have left all of last year, and the rate at 75 00:03:44,080 --> 00:03:46,720 Speaker 1: which businesses they're leaving California is twice the rate at 76 00:03:46,720 --> 00:03:48,800 Speaker 1: which they've left for the last three years. They're not 77 00:03:48,840 --> 00:03:50,280 Speaker 1: saying any of that. They're just saying, this is the 78 00:03:50,320 --> 00:03:53,160 Speaker 1: Republican take over. Outside of the trying to take over 79 00:03:53,160 --> 00:03:57,240 Speaker 1: the Republican the California dream, YadA blah, because they cannot 80 00:03:57,400 --> 00:03:59,200 Speaker 1: defend the record. I just want to hear one of 81 00:03:59,200 --> 00:04:01,360 Speaker 1: them say even Knewsom has done a good job. If 82 00:04:01,400 --> 00:04:03,680 Speaker 1: nobody's coming close to saying that. John, you know, the 83 00:04:03,840 --> 00:04:06,440 Speaker 1: La Times has played the race card against you, and 84 00:04:06,440 --> 00:04:08,600 Speaker 1: I don't know how deeply you want to get into it, 85 00:04:08,640 --> 00:04:11,360 Speaker 1: but I found it enormously offensive. I did a whole 86 00:04:11,400 --> 00:04:13,560 Speaker 1: segment on and then I had you on to respond 87 00:04:13,600 --> 00:04:16,839 Speaker 1: to it. It's we watched this happen with the likes 88 00:04:16,839 --> 00:04:20,359 Speaker 1: of Clarence Thomas and so many others. If you're African American, 89 00:04:20,440 --> 00:04:22,960 Speaker 1: you happen to be a conservative, You're I would say, 90 00:04:23,000 --> 00:04:26,600 Speaker 1: you're more libertarian conservative than anything else. You've always been. 91 00:04:26,800 --> 00:04:32,040 Speaker 1: You've always had libertarian leanings, and we've had minor disagreements 92 00:04:32,040 --> 00:04:35,039 Speaker 1: on issues, but not major disagreements on issues over the years. 93 00:04:35,040 --> 00:04:38,159 Speaker 1: But if anything, I've probably become more libertarian like you. 94 00:04:38,279 --> 00:04:41,320 Speaker 1: But I mean to compare you to the to the 95 00:04:41,480 --> 00:04:44,840 Speaker 1: white to the clan and the clansmen and David Duke. 96 00:04:45,320 --> 00:04:48,320 Speaker 1: I mean, I just like, how far do these people go? Well, 97 00:04:48,320 --> 00:04:50,600 Speaker 1: it shows you again, Sean, they're out of AMMO. The 98 00:04:50,760 --> 00:04:53,960 Speaker 1: La Times called me, quote the black face of white supremacy, 99 00:04:54,000 --> 00:04:56,040 Speaker 1: close both and when you have to go down that bar, 100 00:04:56,160 --> 00:04:59,680 Speaker 1: you've got nothing else left again. Uh, two people signed 101 00:04:59,720 --> 00:05:01,400 Speaker 1: up a to get rid of this guy and the 102 00:05:01,480 --> 00:05:03,440 Speaker 1: good A third of them were the very people who 103 00:05:03,560 --> 00:05:05,920 Speaker 1: voted for him just two years earlier. A sixty three 104 00:05:06,000 --> 00:05:09,479 Speaker 1: percent of Hispanics did. Now the majority of Hispanics wanting gone. 105 00:05:09,560 --> 00:05:11,960 Speaker 1: How can this be a Republican takeover? The majority of 106 00:05:12,040 --> 00:05:14,960 Speaker 1: independence now once this man gone, that's all they've got 107 00:05:15,240 --> 00:05:18,159 Speaker 1: playing the race card, scaring people saying, don't vote for 108 00:05:18,200 --> 00:05:21,200 Speaker 1: this guy because he'll do everything up to it, including 109 00:05:21,240 --> 00:05:25,080 Speaker 1: reenacting slavery. I mean, it's idiotic. Again, they cannot despend 110 00:05:25,120 --> 00:05:27,840 Speaker 1: this man's record. A third of a small businesses are 111 00:05:27,839 --> 00:05:30,559 Speaker 1: now gone forever here in California, many of them owned 112 00:05:30,560 --> 00:05:33,040 Speaker 1: by black and brown and Asian American people. That's the 113 00:05:33,080 --> 00:05:35,520 Speaker 1: left fights is up on caring about. I've noticed that 114 00:05:35,560 --> 00:05:38,120 Speaker 1: in this race, the amount of money that's flowing in 115 00:05:38,200 --> 00:05:42,760 Speaker 1: from Hollywood and the radical hard New Green Deal left 116 00:05:42,880 --> 00:05:46,640 Speaker 1: is enormous to Gavin Newsom. Gavin Newsom's actions have shown 117 00:05:46,640 --> 00:05:50,240 Speaker 1: that he's tremendously afraid. Gavin Newsom is in the process 118 00:05:50,279 --> 00:05:53,200 Speaker 1: of giving If I understand it, correctly, at least sixty 119 00:05:53,200 --> 00:05:55,840 Speaker 1: percent of the people of California. They're getting big checks 120 00:05:55,839 --> 00:05:59,760 Speaker 1: now from the state of California. I don't know what 121 00:06:00,040 --> 00:06:02,359 Speaker 1: I grew up in New York, Larry. If you've paid 122 00:06:02,360 --> 00:06:05,720 Speaker 1: out money to voters before an election like this and 123 00:06:05,839 --> 00:06:08,479 Speaker 1: use taxpair of dollars to do it, I think a 124 00:06:08,520 --> 00:06:11,440 Speaker 1: lot of ethical questions would be raised at the timing 125 00:06:11,480 --> 00:06:14,240 Speaker 1: of such and that the appropriate time would be after 126 00:06:14,279 --> 00:06:17,640 Speaker 1: such a recall race, wouldn't it exactly? Even the prevs 127 00:06:17,720 --> 00:06:20,760 Speaker 1: governor at Democrat Garry Brown, criticized all of the spending. 128 00:06:21,080 --> 00:06:24,040 Speaker 1: They're scared to death they're regarding Hollywood. You're right, Hollywood 129 00:06:24,120 --> 00:06:27,159 Speaker 1: is now writing big checks. And it's interesting Hollywood every 130 00:06:27,279 --> 00:06:30,120 Speaker 1: year goes to Sacramento to get tax breaks so that 131 00:06:30,200 --> 00:06:33,080 Speaker 1: they can stop so called runaway productions while voting for 132 00:06:33,160 --> 00:06:35,240 Speaker 1: the party that raises your taxes. This is kind of 133 00:06:35,279 --> 00:06:38,200 Speaker 1: hypocrisy that's going on in California, and people have had 134 00:06:38,240 --> 00:06:41,040 Speaker 1: it independent of at it, Democrats have had it. And 135 00:06:42,040 --> 00:06:44,120 Speaker 1: don't get me started on the public school Seventy five 136 00:06:44,120 --> 00:06:47,040 Speaker 1: percent before COVID could not read at state level the 137 00:06:47,040 --> 00:06:50,320 Speaker 1: proficiency SEAN and those levels are low and mask scores 138 00:06:50,360 --> 00:06:53,159 Speaker 1: even worse. Half of all third graders could not read 139 00:06:53,240 --> 00:06:56,479 Speaker 1: at state level of proficiency again mask scores or even worse. 140 00:06:56,560 --> 00:06:58,800 Speaker 1: Eighty percent of the kids and our government schools in 141 00:06:58,839 --> 00:07:01,600 Speaker 1: California sean black and brown. I only mentioned their race 142 00:07:01,640 --> 00:07:03,960 Speaker 1: because of the left. Pride yourself on caring about that. 143 00:07:04,360 --> 00:07:07,839 Speaker 1: And the one I've got a former state senator named 144 00:07:07,839 --> 00:07:11,120 Speaker 1: Gloria Romero, a Democrat whose now cross line. She used 145 00:07:11,160 --> 00:07:13,960 Speaker 1: to be the Senate majority leader, and now she's deporting 146 00:07:13,960 --> 00:07:17,680 Speaker 1: me primarily over the issue of school choice because Hispanic 147 00:07:17,760 --> 00:07:19,960 Speaker 1: kid are getting ripped off. They're getting the worst teacher as, 148 00:07:20,000 --> 00:07:23,240 Speaker 1: the worst principles, the worst bureaucrats, and the worst outcomes. 149 00:07:23,800 --> 00:07:25,880 Speaker 1: And the route to leave poverty, to get to the 150 00:07:25,880 --> 00:07:28,320 Speaker 1: middle class, of course, is to at least finish high 151 00:07:28,320 --> 00:07:30,920 Speaker 1: school one presumably where you can read write a coputic 152 00:07:30,960 --> 00:07:33,800 Speaker 1: grade level. And because of their substantial education, they're not 153 00:07:33,840 --> 00:07:36,160 Speaker 1: getting it. You know, it's the saddest thing, because it's 154 00:07:36,160 --> 00:07:39,880 Speaker 1: our national treasure. And it's not just California, it's universal. 155 00:07:39,920 --> 00:07:42,400 Speaker 1: It's happening in every big city. And these are the 156 00:07:42,440 --> 00:07:45,280 Speaker 1: cities and states that have been run by liberal Democrats 157 00:07:45,280 --> 00:07:48,320 Speaker 1: for the longest period of time. Let me ask you 158 00:07:48,320 --> 00:07:51,000 Speaker 1: about the COVID hypocrisy, because you had Gavin Newsom in 159 00:07:51,120 --> 00:07:55,680 Speaker 1: restaurants when other people, other Californians, weren't allowed, and businesses 160 00:07:55,720 --> 00:07:57,880 Speaker 1: were shut down, but they weren't shut down for him. 161 00:07:58,320 --> 00:08:01,200 Speaker 1: Schools were shut down, but not Gavin's kids who went 162 00:08:01,240 --> 00:08:05,680 Speaker 1: to this prestigious private school that had in person learning 163 00:08:05,720 --> 00:08:09,400 Speaker 1: but not promost California children, just like his kids went 164 00:08:09,440 --> 00:08:12,640 Speaker 1: to camp when most other Californian kids, you know, didn't 165 00:08:12,680 --> 00:08:15,080 Speaker 1: have the opportunity to do so. And all he just 166 00:08:15,120 --> 00:08:17,679 Speaker 1: says after each fence is oh, I'm sorry, I should 167 00:08:17,680 --> 00:08:19,960 Speaker 1: have thought about that. Well, that's right. And he shut 168 00:08:19,960 --> 00:08:22,480 Speaker 1: down the state, he ignored the science. Sitting up there 169 00:08:22,480 --> 00:08:25,280 Speaker 1: with the lobbyists that grafted at the mandate, they were 170 00:08:25,280 --> 00:08:27,120 Speaker 1: not wearing masks while telling you to do it, they 171 00:08:27,120 --> 00:08:29,280 Speaker 1: were not engaging in social distancing while telling you to 172 00:08:29,320 --> 00:08:31,240 Speaker 1: do it. And you're quite right. And his own skids 173 00:08:31,240 --> 00:08:34,280 Speaker 1: were enjoying in person private education, and he was exempting 174 00:08:34,320 --> 00:08:37,040 Speaker 1: his own winery from the very mandate that shut down. 175 00:08:37,360 --> 00:08:40,040 Speaker 1: I forgot about the winery. Tell him, tell everybody, remind 176 00:08:40,080 --> 00:08:42,920 Speaker 1: everybody about the winery. Well, you know, Gavin Knwsom called 177 00:08:42,920 --> 00:08:46,400 Speaker 1: to himself an entrepreneur, right, He's an entrepreneur who started 178 00:08:46,440 --> 00:08:51,240 Speaker 1: his winery, high end winery, by the way, with getting money. 179 00:08:51,600 --> 00:08:55,520 Speaker 1: But he called himself, you know, an entrepreneur. He's kind 180 00:08:55,520 --> 00:08:58,280 Speaker 1: of entrepreneur. Chihn. You heard the line born on third 181 00:08:58,280 --> 00:09:00,480 Speaker 1: base and thought he hit a triple. My dad came 182 00:09:00,520 --> 00:09:02,920 Speaker 1: to California without two nipples above together, started a little 183 00:09:02,960 --> 00:09:06,240 Speaker 1: cafe and got to the middle class. That's a hard story. 184 00:09:06,640 --> 00:09:10,360 Speaker 1: But Gavin Newsom came from affluence. It lives in affluence 185 00:09:10,840 --> 00:09:14,040 Speaker 1: while while shutting down businesses. A third of all my 186 00:09:14,200 --> 00:09:17,160 Speaker 1: businesses I've mentioned are gone forever. These are businesses owned 187 00:09:17,160 --> 00:09:21,240 Speaker 1: by hard working Black, Asian American and Hispanic people, the 188 00:09:21,320 --> 00:09:23,920 Speaker 1: kind of people that people like Gavin Knwsom cide themselves 189 00:09:24,040 --> 00:09:26,640 Speaker 1: on caring about. You know, the fact that they're trying 190 00:09:26,640 --> 00:09:30,000 Speaker 1: to bring in every outside dollar they can into the state, 191 00:09:30,160 --> 00:09:33,600 Speaker 1: and Obama into the state, and Kamala Harris back into 192 00:09:33,600 --> 00:09:36,079 Speaker 1: the state, and below see back into the state, and 193 00:09:36,960 --> 00:09:39,800 Speaker 1: Hollywood trying to exert its influence. The amount of money 194 00:09:39,840 --> 00:09:43,880 Speaker 1: flowing into the coffers of Gavin Newsom's campaign shows a 195 00:09:44,000 --> 00:09:48,600 Speaker 1: real fear that exists now. The polls at different times 196 00:09:48,640 --> 00:09:52,600 Speaker 1: have had had him upside down, and even it seems 197 00:09:52,640 --> 00:09:54,440 Speaker 1: like the latest poles have him on a little bit 198 00:09:54,440 --> 00:09:57,360 Speaker 1: of a bounce. I'm not sure what to make of 199 00:09:57,840 --> 00:10:00,559 Speaker 1: the polls in this particular race, but I have a 200 00:10:00,679 --> 00:10:03,080 Speaker 1: question because I believe that a lot of states in 201 00:10:03,160 --> 00:10:07,120 Speaker 1: twenty twenty didn't follow the laws where partisan observers watch 202 00:10:07,200 --> 00:10:09,840 Speaker 1: the vote count start to finish. They didn't have good 203 00:10:09,920 --> 00:10:13,800 Speaker 1: chain of custody integrity measures. They don't update voter rolls. 204 00:10:14,600 --> 00:10:16,440 Speaker 1: A lot of states like New York, you don't need 205 00:10:16,640 --> 00:10:21,160 Speaker 1: any any photo identification or signature verification. I think every 206 00:10:21,160 --> 00:10:24,640 Speaker 1: state should have that to ensure election integrity and confidence 207 00:10:24,679 --> 00:10:27,200 Speaker 1: of results. How do you feel about the process to 208 00:10:27,240 --> 00:10:30,480 Speaker 1: currently exist in California, Well, I'm worried about it. I mean, 209 00:10:30,520 --> 00:10:32,480 Speaker 1: you didn't add one other thing. You could also print 210 00:10:32,520 --> 00:10:35,120 Speaker 1: your own ballot here in California, I believe it or not, 211 00:10:35,200 --> 00:10:37,240 Speaker 1: you could print your own ballot. Now, what could possibly 212 00:10:37,240 --> 00:10:39,360 Speaker 1: go wrong? We know about all the shenanigans that took 213 00:10:39,360 --> 00:10:41,600 Speaker 1: place in twenty twenty, and I'm asking people to go 214 00:10:41,640 --> 00:10:44,920 Speaker 1: to elect dot com. We have a voter integrity project 215 00:10:45,000 --> 00:10:48,560 Speaker 1: all set up there. If anybody sees anything, suspicious, here's 216 00:10:48,559 --> 00:10:52,960 Speaker 1: anything suspicious, knows about anything suspicious, go to elect Elder 217 00:10:53,040 --> 00:10:55,200 Speaker 1: dot com. We have our lawyer ready to follow lawsuits 218 00:10:55,280 --> 00:10:57,679 Speaker 1: right away. One of the reasons why lawsuits were dismissed 219 00:10:57,679 --> 00:10:59,920 Speaker 1: in the twenty twenty election is it the courts only 220 00:11:00,080 --> 00:11:02,560 Speaker 1: to overturn an election that they waited too long. They 221 00:11:02,600 --> 00:11:06,040 Speaker 1: dismissed them one procedural ground. We're filing laws way whenever 222 00:11:06,040 --> 00:11:08,600 Speaker 1: we hear of anything. So if anybody spotted anything, go 223 00:11:08,640 --> 00:11:11,240 Speaker 1: to Elder dot com. And while you're there, sean have 224 00:11:11,400 --> 00:11:13,400 Speaker 1: people told him something? In the tip jar, my opponent 225 00:11:13,440 --> 00:11:16,840 Speaker 1: has already raised seventy five million dollars. It is estimated 226 00:11:17,040 --> 00:11:19,080 Speaker 1: he might raise as much as one hundred million dollars 227 00:11:19,080 --> 00:11:23,199 Speaker 1: from the usual suspect teachers union, public sector unions, Hollywood, 228 00:11:23,200 --> 00:11:24,920 Speaker 1: and big text. So I'm gonna need some help to 229 00:11:25,000 --> 00:11:27,280 Speaker 1: make this somewhat of a fair fight. Quick break kiss 230 00:11:27,320 --> 00:11:30,840 Speaker 1: five days away the recall Gavin Newsom Mount in California. 231 00:11:30,880 --> 00:11:33,560 Speaker 1: Can a political earthquake really take place? More with Larry 232 00:11:33,559 --> 00:11:38,280 Speaker 1: Elder and we got Peter Schweitzer of the Government Accountability Institute. 233 00:11:38,360 --> 00:11:41,480 Speaker 1: He's going to join us along with Eric Eager's same institute. 234 00:11:41,720 --> 00:11:45,440 Speaker 1: And then we're waiting for Biden's mandates on COVID and 235 00:11:45,559 --> 00:11:49,320 Speaker 1: it's twenty six days Americans held hostage behind enemy lines. 236 00:11:49,400 --> 00:11:52,920 Speaker 1: We will never forget schools back in session. We're getting 237 00:11:52,960 --> 00:11:58,040 Speaker 1: reports every day now, videos even activist teachers out there indoctrinating, 238 00:11:58,760 --> 00:12:02,360 Speaker 1: brainwashing young students. One teacher telling her students turn off 239 00:12:02,360 --> 00:12:06,600 Speaker 1: Fox News that their parents are dumb young people being taught. Oh, 240 00:12:06,720 --> 00:12:09,320 Speaker 1: America is not the greatest country that God gave man. 241 00:12:09,360 --> 00:12:14,559 Speaker 1: As I believe that America's racist capitalism is evil, socialist indoctrination. 242 00:12:15,040 --> 00:12:18,240 Speaker 1: That's a huge problem in schools. So the question, you're 243 00:12:18,240 --> 00:12:21,000 Speaker 1: a parent, you're a grandparent, what can you do well? 244 00:12:21,040 --> 00:12:23,960 Speaker 1: The best way is to teach your kids the values 245 00:12:24,000 --> 00:12:29,800 Speaker 1: that you hold near and dear. Liberty, freedom, democracy, free markets, capitalisms, principles, 246 00:12:30,040 --> 00:12:38,520 Speaker 1: the Golden rule, all of that. The radio show, the 247 00:12:38,760 --> 00:12:45,040 Speaker 1: mainstream media Love State. This is a Sean Hannity show. 248 00:13:04,480 --> 00:13:07,679 Speaker 1: As we continue five days away from the California recall election. 249 00:13:08,280 --> 00:13:11,280 Speaker 1: We continue now with Larry Elderho's leading the field right now. 250 00:13:11,559 --> 00:13:14,559 Speaker 1: There is one phenomenon is and I think Donald Trump 251 00:13:14,600 --> 00:13:16,480 Speaker 1: had a big part to play in all of this. 252 00:13:16,520 --> 00:13:19,240 Speaker 1: There's actually a study that has now come out confirming it, 253 00:13:19,440 --> 00:13:22,240 Speaker 1: and that is that the Democratic Party now is the 254 00:13:22,280 --> 00:13:26,280 Speaker 1: party of coastal elites, there's no doubt about it, and 255 00:13:26,440 --> 00:13:29,080 Speaker 1: the Republican Party. The study, by the way, performed by 256 00:13:29,120 --> 00:13:32,040 Speaker 1: the New York Times indicates those who hold an undergraduate 257 00:13:32,120 --> 00:13:35,839 Speaker 1: postgraduate degrees living these big cities both with Democrats by 258 00:13:35,840 --> 00:13:41,800 Speaker 1: a combined forty nine points, and those working Americans seem 259 00:13:41,880 --> 00:13:45,160 Speaker 1: to now move to and break towards the Republican Party 260 00:13:45,160 --> 00:13:47,600 Speaker 1: by larger and larger numbers. I see this in the 261 00:13:47,640 --> 00:13:53,360 Speaker 1: demographic breakdowns Hispanic Americans in California, African Americans at California, 262 00:13:53,440 --> 00:13:57,040 Speaker 1: they seem to be breaking from the Democratic stranglehold that 263 00:13:57,040 --> 00:14:00,320 Speaker 1: they've had. Absolutely there's been a war on for example, 264 00:14:00,360 --> 00:14:03,320 Speaker 1: the timber industry, middle class jobs have lost, or on 265 00:14:03,360 --> 00:14:06,000 Speaker 1: the oil and gas industry, middle class jobs have gone. 266 00:14:06,120 --> 00:14:08,360 Speaker 1: California used to be headquartered to all ten of the 267 00:14:08,400 --> 00:14:11,320 Speaker 1: top oil and gas companies. Now it's just one Chevron, 268 00:14:11,559 --> 00:14:14,880 Speaker 1: and they're increasingly putting operations in Texas. How there's been 269 00:14:14,880 --> 00:14:16,560 Speaker 1: a hollowing out of the middle class and of the 270 00:14:16,600 --> 00:14:18,640 Speaker 1: working class. And when people in the middle class of 271 00:14:18,720 --> 00:14:21,200 Speaker 1: bringing class leave, the number one reason they cite if 272 00:14:21,240 --> 00:14:24,000 Speaker 1: they cannot afford the price of a home. The average 273 00:14:24,000 --> 00:14:26,440 Speaker 1: price of a home in California because of the environmental 274 00:14:26,440 --> 00:14:29,480 Speaker 1: extremists that stop any development for any reason jacking up 275 00:14:29,520 --> 00:14:32,960 Speaker 1: the price is eight hundred thousand dollars. That's anywhere from 276 00:14:32,960 --> 00:14:35,000 Speaker 1: one hundred and fifty percent the two hundred and fifty 277 00:14:35,000 --> 00:14:36,840 Speaker 1: percent above the national average that then make a fund 278 00:14:36,880 --> 00:14:39,440 Speaker 1: the study that you read. These are middle class jobs 279 00:14:39,440 --> 00:14:41,960 Speaker 1: that are going out, and the elites can still afford 280 00:14:41,960 --> 00:14:44,360 Speaker 1: to live there, even though California at the highest state 281 00:14:44,360 --> 00:14:47,520 Speaker 1: income tax in the country thirteen point three percent. But 282 00:14:47,560 --> 00:14:49,840 Speaker 1: when rich people leave, they also bring their tax base 283 00:14:49,960 --> 00:14:52,760 Speaker 1: with them. Out of forty million people living in California, 284 00:14:52,840 --> 00:14:55,880 Speaker 1: sean only one percent pay on most half of the 285 00:14:55,920 --> 00:14:59,160 Speaker 1: state income tax, and the state income tax is California's 286 00:14:59,280 --> 00:15:02,360 Speaker 1: largest source of So when millionaires and billionaires that Bernie 287 00:15:02,440 --> 00:15:06,240 Speaker 1: dismisses lead California, California at thirty is the best money 288 00:15:06,240 --> 00:15:09,000 Speaker 1: for schools, less money for highways, less money for the 289 00:15:09,120 --> 00:15:11,600 Speaker 1: kinds of thing government is supposed to do. That's why now, 290 00:15:11,640 --> 00:15:14,080 Speaker 1: for the first time in one hundred and seventy one years, 291 00:15:14,200 --> 00:15:18,080 Speaker 1: you see a mass net exodus of people from California 292 00:15:18,160 --> 00:15:21,880 Speaker 1: and take that Take that U haul from California to Texas. 293 00:15:21,920 --> 00:15:24,360 Speaker 1: It's twenty five hundred bucks. Take it back from Texas 294 00:15:24,440 --> 00:15:26,920 Speaker 1: to California. You do a new haul of favor, you 295 00:15:26,960 --> 00:15:28,960 Speaker 1: could probably get it for three or four hundred bucks. 296 00:15:29,360 --> 00:15:32,520 Speaker 1: Larry Elder, we're gonna be watching five days away, but 297 00:15:32,560 --> 00:15:34,600 Speaker 1: it's probably gonna take a month to get the results. 298 00:15:34,600 --> 00:15:36,760 Speaker 1: But we'll be watching out in California. Good luck, and 299 00:15:36,960 --> 00:15:40,120 Speaker 1: we appreciate your time and wish you're the best on Tuesday, 300 00:15:40,160 --> 00:15:43,080 Speaker 1: for sure. Thanks God, Bless, God bless eight hundred nine 301 00:15:43,120 --> 00:15:46,080 Speaker 1: for one Seawan toll free telephone number. We expect Joe 302 00:15:46,120 --> 00:15:49,640 Speaker 1: Biden with his new COVID mandates his six point plan 303 00:15:49,800 --> 00:15:52,720 Speaker 1: that he's been planning forever. Now that with a three 304 00:15:52,800 --> 00:15:55,680 Speaker 1: hundred percent increase in cases compared to what we had 305 00:15:55,760 --> 00:15:59,840 Speaker 1: last year. Wow, imagine if Trump was president. HI twenty 306 00:15:59,840 --> 00:16:01,720 Speaker 1: five now till the top of the hour, eight hundred 307 00:16:01,760 --> 00:16:03,400 Speaker 1: and nine four one Sean, if you want to be 308 00:16:03,440 --> 00:16:05,200 Speaker 1: a part of the program, we expect at the top 309 00:16:05,240 --> 00:16:09,240 Speaker 1: of the hour that Joe Biden. I guess he doesn't 310 00:16:09,320 --> 00:16:12,000 Speaker 1: like to work at night. I don't think he hasn't 311 00:16:12,000 --> 00:16:14,480 Speaker 1: done a nighttime press conference. They had a hard time 312 00:16:15,040 --> 00:16:20,040 Speaker 1: adjusting his peak cognitive hours during the campaign. If your call, 313 00:16:20,840 --> 00:16:23,560 Speaker 1: if there was a debate, if there was the DNC 314 00:16:23,760 --> 00:16:27,040 Speaker 1: convention speech, whatever it happened to be, he disappeared for 315 00:16:27,120 --> 00:16:29,880 Speaker 1: six days. And I said at the time, I said, 316 00:16:30,120 --> 00:16:34,480 Speaker 1: they're adjusting his peak cognitive hour to the nine pm hour, only, 317 00:16:35,000 --> 00:16:37,600 Speaker 1: you know, as a means of being prepared for the 318 00:16:38,320 --> 00:16:41,359 Speaker 1: big moment that he has to rise to the occasion, 319 00:16:42,520 --> 00:16:45,280 Speaker 1: because he certainly doesn't have the energy. Let's be honest. 320 00:16:45,280 --> 00:16:48,440 Speaker 1: He's weak, he's frail, and he's a cognitive mess. Anyway, 321 00:16:48,560 --> 00:16:51,840 Speaker 1: joining us with some insight. He's been following this very closely. 322 00:16:51,920 --> 00:16:56,080 Speaker 1: Peter Sweitzer, President of the Government Accountability Institute, host of 323 00:16:56,120 --> 00:17:00,840 Speaker 1: the drill down dot com podcast. Eric is with us, 324 00:17:01,240 --> 00:17:04,840 Speaker 1: Vice president of the Government Accountability Institute. He's a co host. 325 00:17:05,240 --> 00:17:09,080 Speaker 1: He's two worked together twenty four to seven. I guess, yeah, 326 00:17:09,119 --> 00:17:12,760 Speaker 1: but you know, here you got two top officials at 327 00:17:12,760 --> 00:17:16,879 Speaker 1: the FDA resigning in protest over this booster shot or 328 00:17:16,920 --> 00:17:21,440 Speaker 1: a third dose of the vaccine, you know. And this 329 00:17:21,480 --> 00:17:24,160 Speaker 1: then gets to the question of Fauci, which we now 330 00:17:24,240 --> 00:17:26,560 Speaker 1: know he lied about pretty much everything, and he knew 331 00:17:26,600 --> 00:17:29,880 Speaker 1: a lot that he didn't tell the American people from 332 00:17:29,960 --> 00:17:32,040 Speaker 1: day one, and he was conflicted on the issue of 333 00:17:32,080 --> 00:17:35,119 Speaker 1: coronaviruses from day one. And now it's all there, and 334 00:17:35,160 --> 00:17:37,080 Speaker 1: we'll get to the intercept and we'll get to the 335 00:17:37,119 --> 00:17:39,880 Speaker 1: emails in a minute. But what's your take on these 336 00:17:39,920 --> 00:17:45,960 Speaker 1: two FDA officials resigning? Peter, Well, it's interesting, Sean. You know, 337 00:17:46,160 --> 00:17:50,120 Speaker 1: the league claim. The argument from the mainstream media when 338 00:17:50,200 --> 00:17:53,800 Speaker 1: Donald Trump was president was that he was politicizing the process, 339 00:17:53,800 --> 00:17:56,679 Speaker 1: you know about the vaccine, which really wasn't true. He 340 00:17:56,760 --> 00:18:00,359 Speaker 1: was just trying to speed up the process. The reason 341 00:18:00,400 --> 00:18:04,080 Speaker 1: that these two FDA officials are resigning, based on the 342 00:18:04,160 --> 00:18:08,560 Speaker 1: reporting from Politico and others, is precisely because the process 343 00:18:08,680 --> 00:18:12,560 Speaker 1: is being politicized by the Biden administration. In other words, 344 00:18:12,640 --> 00:18:16,840 Speaker 1: they're not convinced, they are not certain, they are not 345 00:18:17,040 --> 00:18:20,720 Speaker 1: competent in the idea that these booster shots are necessary 346 00:18:20,880 --> 00:18:23,960 Speaker 1: or effective. They don't know how healthy they might be. 347 00:18:24,440 --> 00:18:26,520 Speaker 1: They don't like the fact that the Food and Drug 348 00:18:26,520 --> 00:18:31,280 Speaker 1: Administration is being pushed to essentially approve this process, and 349 00:18:31,320 --> 00:18:34,320 Speaker 1: they've resigned as a result. You know, the fact of 350 00:18:34,320 --> 00:18:37,240 Speaker 1: the matter is sewn that Joe Biden when he was 351 00:18:37,320 --> 00:18:40,840 Speaker 1: running for president, made it sound so simple. He was 352 00:18:40,880 --> 00:18:45,080 Speaker 1: just going to effectively snap sort of the bureaucratic fingers 353 00:18:45,119 --> 00:18:47,560 Speaker 1: of the federal government, and they were going to fix 354 00:18:47,640 --> 00:18:51,280 Speaker 1: all of these problems. We know that the COVID situation 355 00:18:51,400 --> 00:18:55,240 Speaker 1: is a lot more complicated than that, and now that 356 00:18:55,359 --> 00:18:59,160 Speaker 1: it is continuing to be a problem that's unfolding all 357 00:18:59,160 --> 00:19:04,680 Speaker 1: the new cases talked about, he is pressuring the medical 358 00:19:04,760 --> 00:19:08,960 Speaker 1: professionals in the government establishment to try to get them 359 00:19:09,680 --> 00:19:14,359 Speaker 1: to push things through to basically save himself politically, and 360 00:19:14,440 --> 00:19:17,480 Speaker 1: that to be fair. So far, with these breakthrough cases, 361 00:19:17,520 --> 00:19:21,280 Speaker 1: people are warned about that possibility. But with these breakthrough cases, 362 00:19:21,640 --> 00:19:24,679 Speaker 1: the odds are still very likely that you won't be 363 00:19:24,760 --> 00:19:27,840 Speaker 1: hospitalized if you're fully vaccinated, and that you won't die 364 00:19:27,920 --> 00:19:30,760 Speaker 1: if you're fully vaccinated. But it doesn't go into a 365 00:19:30,800 --> 00:19:33,800 Speaker 1: whole host of other complications that some people have had. 366 00:19:34,560 --> 00:19:36,800 Speaker 1: One of the things that bothers me the most about 367 00:19:36,840 --> 00:19:39,720 Speaker 1: this and Peter, I've been very clear, I'm telling everyone 368 00:19:39,760 --> 00:19:42,760 Speaker 1: take this sucker seriously. I know people that have died, 369 00:19:42,880 --> 00:19:45,399 Speaker 1: I've seen the worst of this virus. I know people 370 00:19:45,400 --> 00:19:51,040 Speaker 1: that have survived ventilators barely after forty days and have 371 00:19:50,480 --> 00:19:55,399 Speaker 1: been right at death's door and so, but I'm not 372 00:19:55,480 --> 00:19:57,359 Speaker 1: a doctor. I'm not going to play it on radio 373 00:19:57,520 --> 00:19:59,840 Speaker 1: or television in spite of all the pressure brought to 374 00:20:00,040 --> 00:20:02,880 Speaker 1: air on me to tell everybody what to do. I'm 375 00:20:02,960 --> 00:20:05,400 Speaker 1: only urging people to take it seriously because I love 376 00:20:05,440 --> 00:20:09,800 Speaker 1: my audience to do their own research, take into account 377 00:20:09,800 --> 00:20:13,280 Speaker 1: their unique medical history, their current medical condition, talk to 378 00:20:13,359 --> 00:20:17,199 Speaker 1: their own doctor or doctors and medical professionals they trust, 379 00:20:17,640 --> 00:20:19,080 Speaker 1: and then they're going to have to make their own 380 00:20:19,119 --> 00:20:22,960 Speaker 1: decision on what's the right decision for them. I also 381 00:20:23,000 --> 00:20:26,800 Speaker 1: believe in medical privacy, and I believe in doctor patient confidentiality. 382 00:20:26,880 --> 00:20:30,199 Speaker 1: I guess that's an anequated view in America, but the 383 00:20:30,240 --> 00:20:34,480 Speaker 1: reality is there are people with very rare conditions that can't, 384 00:20:34,480 --> 00:20:38,160 Speaker 1: for whatever reason, take a vaccine. I've interviewed a number 385 00:20:38,160 --> 00:20:41,679 Speaker 1: of those people. They never talk, it seems, about therapeutics. 386 00:20:42,760 --> 00:20:46,040 Speaker 1: Then you have the whole other issue about well, if 387 00:20:46,080 --> 00:20:49,919 Speaker 1: we're following the science to Cleveland Clinic, highly prestigious medical 388 00:20:50,000 --> 00:20:52,880 Speaker 1: university says if you had COVID, you don't need any 389 00:20:52,920 --> 00:20:55,640 Speaker 1: of the vaccines. Are we just going to ignore that 390 00:20:55,840 --> 00:20:59,320 Speaker 1: science because it's not convenient to one particular narrative about 391 00:20:59,359 --> 00:21:02,280 Speaker 1: the vaccine. We'll ask you Eric. Yeah, I think one 392 00:21:02,280 --> 00:21:04,639 Speaker 1: of the things that we've explored in our research, as 393 00:21:04,720 --> 00:21:08,520 Speaker 1: Gi and on the podcast, is a perverse incentive structure. 394 00:21:08,760 --> 00:21:11,680 Speaker 1: Nobody wants to be anti science. Everybody wants to be 395 00:21:11,720 --> 00:21:14,240 Speaker 1: as safe as possible, but would also be as intellectually 396 00:21:14,280 --> 00:21:17,359 Speaker 1: honest as possible. And when you look at the dramatic 397 00:21:17,480 --> 00:21:20,639 Speaker 1: profits that some of these big pharmaceutical companies have made 398 00:21:21,000 --> 00:21:25,159 Speaker 1: since the COVID era began, since this push for vaccines, 399 00:21:26,000 --> 00:21:28,080 Speaker 1: you know, I think it begs the question of why 400 00:21:28,320 --> 00:21:30,320 Speaker 1: some of the remedies and some of the things that 401 00:21:30,400 --> 00:21:32,840 Speaker 1: people don't seem to make much money off much money 402 00:21:32,840 --> 00:21:36,199 Speaker 1: off of, are dismissed when the things that people at 403 00:21:36,240 --> 00:21:39,800 Speaker 1: the big pharmaceutical companies is obviously are incredibly influential politically 404 00:21:39,800 --> 00:21:42,560 Speaker 1: and otherwise when they're making might have to they seem 405 00:21:42,600 --> 00:21:44,920 Speaker 1: to be not only pushed, but now renewed. And as 406 00:21:44,920 --> 00:21:48,520 Speaker 1: you know, we need this third booster shot over apparently 407 00:21:48,600 --> 00:21:53,640 Speaker 1: the very vehement protests of FDA officials who have resigned, right, 408 00:21:53,680 --> 00:21:55,840 Speaker 1: I mean, I think it begs the question of, hey, 409 00:21:56,119 --> 00:21:57,800 Speaker 1: let's do what's in the best interest of the people, 410 00:21:57,960 --> 00:21:59,800 Speaker 1: not just what's in the best interest of the corporation. 411 00:22:00,080 --> 00:22:04,080 Speaker 1: You know, we've had this phenomenon of breakthrough cases. One 412 00:22:04,119 --> 00:22:06,120 Speaker 1: of the things that has frustrated me in this whole 413 00:22:06,160 --> 00:22:10,359 Speaker 1: process is most people, I could tell you in New York, 414 00:22:10,960 --> 00:22:14,760 Speaker 1: especially throughout twenty twenty, we're told, Okay, you have COVID, 415 00:22:15,880 --> 00:22:18,560 Speaker 1: you need to do contact tracing, you need to go home, 416 00:22:18,720 --> 00:22:22,200 Speaker 1: isolate yourself from your family. Okay, if you get a temperature, 417 00:22:22,280 --> 00:22:25,120 Speaker 1: take tile at all to lower your temperature. Check your 418 00:22:25,200 --> 00:22:28,879 Speaker 1: oxygen levels, and if it goes below ninety. If it 419 00:22:28,880 --> 00:22:30,479 Speaker 1: goes ninety or below, you need to go to an 420 00:22:30,480 --> 00:22:34,520 Speaker 1: emergency room. Most people run into lung problems anywhere between 421 00:22:34,600 --> 00:22:38,200 Speaker 1: days six and ten, and by the time that it 422 00:22:38,280 --> 00:22:42,680 Speaker 1: results in a decrease in their oxygen level, the damage 423 00:22:42,720 --> 00:22:47,200 Speaker 1: has mostly been done. Peter and I've interviewed many doctors, 424 00:22:48,040 --> 00:22:52,520 Speaker 1: many trained at Harvard, many like doctor Fred or doctor 425 00:22:52,600 --> 00:22:55,439 Speaker 1: Reich who has trained to Yale Medical School or some 426 00:22:55,480 --> 00:22:59,119 Speaker 1: of the best, most prestigious medical institutions in the country, 427 00:22:59,320 --> 00:23:05,040 Speaker 1: and they've been strong proponents of therapeutics, like regennaon the 428 00:23:05,280 --> 00:23:11,880 Speaker 1: anti colonial antibody treatments, infusions. I know Rhonda Santas set 429 00:23:11,920 --> 00:23:14,560 Speaker 1: up centers all across Florida, but nobody ever talks about 430 00:23:14,600 --> 00:23:17,399 Speaker 1: that either. I know a seventy four year old man 431 00:23:17,920 --> 00:23:21,800 Speaker 1: that was tested positive. He was not vaccinated. He got 432 00:23:21,800 --> 00:23:26,480 Speaker 1: the infusion of Regenaon at Emory University Hospital in Georgia, 433 00:23:26,560 --> 00:23:29,000 Speaker 1: and he felt like a new man in forty eight 434 00:23:29,000 --> 00:23:31,880 Speaker 1: hours and he was fined. Same with his wife. It's 435 00:23:32,000 --> 00:23:34,800 Speaker 1: also unvaccinated. I have a friend of mine in my 436 00:23:34,960 --> 00:23:39,040 Speaker 1: town where I live in New York fully vaccinated, had 437 00:23:39,080 --> 00:23:43,280 Speaker 1: Regennaon infused in twenty four hours and he was fine too. 438 00:23:43,480 --> 00:23:47,640 Speaker 1: So nobody ever talks about that science that seems to exist. 439 00:23:48,000 --> 00:23:51,880 Speaker 1: Everyone wants to talk about, you know, ivermectin and HCQ. 440 00:23:52,160 --> 00:23:54,960 Speaker 1: There's numerous studies, starting with the Henry Ford study about 441 00:23:55,040 --> 00:23:59,200 Speaker 1: HCQ and taken early eighty four percent effective in mitigating 442 00:23:59,280 --> 00:24:03,120 Speaker 1: some of the side effects of COVID. That's right there, 443 00:24:03,200 --> 00:24:08,360 Speaker 1: the science, the Cleveland Clinic science that I mentioned. Ivermectin. Okay, yeah, 444 00:24:08,400 --> 00:24:11,200 Speaker 1: they do use it in animals, that's the animal version, 445 00:24:11,640 --> 00:24:14,920 Speaker 1: but the human version won the Nobel Prize for Medicine 446 00:24:14,920 --> 00:24:17,919 Speaker 1: in twenty fifteen, and the fact that it might have 447 00:24:18,000 --> 00:24:21,399 Speaker 1: crossover appeal by some doctors. I'm not a doctor. I 448 00:24:22,119 --> 00:24:24,879 Speaker 1: just don't That's not my era of vokexpertise, Peter. I'm 449 00:24:24,920 --> 00:24:26,720 Speaker 1: not going to tell people what to do. No. I 450 00:24:26,760 --> 00:24:30,120 Speaker 1: think you're exactly right, Sean. Look, if you look at 451 00:24:30,160 --> 00:24:32,880 Speaker 1: how we got the vaccine in the first place, it 452 00:24:32,960 --> 00:24:38,520 Speaker 1: was not a top down government effort. It was the 453 00:24:38,560 --> 00:24:43,640 Speaker 1: work of scientists and researchers at pharmaceutical companies and government agencies. 454 00:24:44,000 --> 00:24:46,400 Speaker 1: The point is, I think what frustrates a lot of 455 00:24:46,440 --> 00:24:49,920 Speaker 1: people about the way that doctor Fauci has been handling 456 00:24:49,960 --> 00:24:53,639 Speaker 1: this is this sort of top down mentality that he 457 00:24:53,800 --> 00:24:56,280 Speaker 1: is the one that has all the truth and all 458 00:24:56,280 --> 00:24:58,359 Speaker 1: the information, and the fact of the matter is that 459 00:24:58,440 --> 00:25:02,680 Speaker 1: there are lots of possible aids that can help people 460 00:25:02,800 --> 00:25:06,640 Speaker 1: get through this terrible illness, that can take off some 461 00:25:06,720 --> 00:25:09,920 Speaker 1: of the effects of the illness. You're exactly right, people 462 00:25:09,960 --> 00:25:14,080 Speaker 1: need to take this deadly seriously and not just sort 463 00:25:14,119 --> 00:25:16,919 Speaker 1: of fluff it off. But the frustration that people have 464 00:25:17,200 --> 00:25:19,480 Speaker 1: is that when you have this top down approach that 465 00:25:19,560 --> 00:25:23,159 Speaker 1: Sauci has had, and he reverses himself one hundred and 466 00:25:23,160 --> 00:25:25,960 Speaker 1: eighty degrees from something he said maybe two months ago, 467 00:25:26,320 --> 00:25:29,760 Speaker 1: it leads people to distrust what they're being told. I 468 00:25:29,800 --> 00:25:33,000 Speaker 1: think he and the American people need to have a 469 00:25:33,040 --> 00:25:36,359 Speaker 1: lot more faith and recognize that there are lots of 470 00:25:36,400 --> 00:25:39,000 Speaker 1: smart people in this country that have solutions and this 471 00:25:39,119 --> 00:25:42,719 Speaker 1: top down government approach is not ultimately the way that 472 00:25:42,720 --> 00:25:45,800 Speaker 1: we're going to get through this pandemic together. Well said Eric, 473 00:25:45,840 --> 00:25:48,159 Speaker 1: let's get your take on that. Yeah, And I just 474 00:25:48,240 --> 00:25:50,959 Speaker 1: think in addition to what Peter said, I think the 475 00:25:51,000 --> 00:25:54,240 Speaker 1: politicization of what the solution should be. I mean, people 476 00:25:54,280 --> 00:25:57,440 Speaker 1: think that the Republicans have been politicized in but in Florida, 477 00:25:57,480 --> 00:25:59,800 Speaker 1: what we think the opposite's true. Right, And you mentioned 478 00:25:59,800 --> 00:26:03,280 Speaker 1: that government Descantis has been promoting for general as in 479 00:26:03,560 --> 00:26:06,080 Speaker 1: a treatment to be had in lieu of, or in 480 00:26:06,080 --> 00:26:10,359 Speaker 1: addition to the vaccine. And unfortunately, despite the many examples 481 00:26:10,359 --> 00:26:12,880 Speaker 1: you've listed, to many examples that we all know personally 482 00:26:13,160 --> 00:26:16,360 Speaker 1: of success, that that is sort of dismissed and instead 483 00:26:16,400 --> 00:26:19,720 Speaker 1: of being touted as somebody that's advocating the life saving treatment, 484 00:26:20,000 --> 00:26:23,200 Speaker 1: Ron de sciantists is criticized by both the media and 485 00:26:23,280 --> 00:26:25,840 Speaker 1: the people that are running for his job as not 486 00:26:25,880 --> 00:26:30,400 Speaker 1: being pro vaccine enough, not profouncy enough, right, not abiding 487 00:26:30,440 --> 00:26:33,120 Speaker 1: by the guidance that the CDC says this week. Who 488 00:26:33,160 --> 00:26:34,920 Speaker 1: knows what they'll say next week, But this week, the 489 00:26:35,080 --> 00:26:38,679 Speaker 1: government descantists or anyone else dares to be intellectually honest 490 00:26:38,920 --> 00:26:42,760 Speaker 1: and stand for something that isn't the politically expedient maneuver, 491 00:26:42,960 --> 00:26:45,399 Speaker 1: regardless of what the science says. And they're criticized, and 492 00:26:45,440 --> 00:26:47,719 Speaker 1: it's unfortunate, but we're seeing it right here in Florida. 493 00:26:47,840 --> 00:26:50,159 Speaker 1: But we're thankful for the people that are willing to 494 00:26:50,160 --> 00:26:55,040 Speaker 1: advocate solutions regardless of the political implications. Quick break, welcome back. 495 00:26:55,080 --> 00:26:58,240 Speaker 1: More on the other side. Peter Schweitzer, Eric Eggers awaiting 496 00:26:58,359 --> 00:27:01,280 Speaker 1: Joe Biden's press or supposedly at the top of the hour, 497 00:27:01,880 --> 00:27:16,520 Speaker 1: Based on past history, it could be hours later. As 498 00:27:16,560 --> 00:27:19,639 Speaker 1: to continue. Peter Schweitzer, Eric Eggers, both with the Government 499 00:27:19,640 --> 00:27:24,399 Speaker 1: Accountability Institute. You know, this is where it really bothers me. 500 00:27:24,680 --> 00:27:26,679 Speaker 1: You know, imagine, how do we get up three hundred 501 00:27:26,680 --> 00:27:31,000 Speaker 1: percent COVID cases from last year? How is that possible? 502 00:27:31,080 --> 00:27:33,600 Speaker 1: What have they done wrong? You know, now it's gonna 503 00:27:33,640 --> 00:27:37,239 Speaker 1: be We're gonna have one size medicine. Fitzall Well, I 504 00:27:37,320 --> 00:27:40,960 Speaker 1: interviewed a nineteen year old girl that in twenty nineteen 505 00:27:41,240 --> 00:27:46,680 Speaker 1: Peter Sweitzer that got a vaccination and she was paralyzed 506 00:27:46,680 --> 00:27:49,639 Speaker 1: for over a month. Her dream was to go to 507 00:27:49,720 --> 00:27:52,800 Speaker 1: BYU and Hawaii. This is not a BYU rule, this 508 00:27:52,880 --> 00:27:56,000 Speaker 1: is a state rule in Hawaii. And she couldn't get 509 00:27:56,000 --> 00:28:00,840 Speaker 1: a medical exemption because of her unique medical condition that 510 00:28:00,960 --> 00:28:04,840 Speaker 1: preventative from taking a vaccine and go to the school, 511 00:28:04,920 --> 00:28:08,280 Speaker 1: even though she was willing, perfectly willing to socially distanced 512 00:28:08,320 --> 00:28:12,040 Speaker 1: mask whoever follow all the rules and all the protocols 513 00:28:12,080 --> 00:28:15,240 Speaker 1: out there. You know, what do we do when people 514 00:28:15,320 --> 00:28:18,720 Speaker 1: are trying to follow science? And I believe in science. 515 00:28:19,080 --> 00:28:21,760 Speaker 1: I even believe in the science of vaccination. I just 516 00:28:21,800 --> 00:28:24,640 Speaker 1: don't agree that I can tell people what to do 517 00:28:24,720 --> 00:28:26,640 Speaker 1: because I'm not the doctor. I mean, do you think 518 00:28:26,720 --> 00:28:28,760 Speaker 1: I'm qualified to tell people what to do to be 519 00:28:29,320 --> 00:28:33,320 Speaker 1: with medicine, Peter. Let's be honest. No, you don't because 520 00:28:33,359 --> 00:28:36,159 Speaker 1: I'm not. Yeah, and but but here's the important thing 521 00:28:36,400 --> 00:28:41,400 Speaker 1: that you recognize, Sean, which is that there are limitations 522 00:28:41,440 --> 00:28:43,520 Speaker 1: to what you know, and you don't want to compel 523 00:28:43,880 --> 00:28:48,240 Speaker 1: other people to do things when there's some ambiguity. So 524 00:28:48,560 --> 00:28:52,000 Speaker 1: you know, for example, you mentioned the Cleveland Clinic study 525 00:28:52,160 --> 00:28:57,000 Speaker 1: about people that have had a COVID in the past, 526 00:28:56,720 --> 00:29:00,880 Speaker 1: that their resistance to the disease is greater than those 527 00:29:00,920 --> 00:29:04,200 Speaker 1: that have had the vaccine. They're better off. The problem 528 00:29:04,320 --> 00:29:07,360 Speaker 1: is is that that science is in the Cleveland clinic study. 529 00:29:07,400 --> 00:29:10,080 Speaker 1: There's been studies out of Israel and elsewhere that confirm 530 00:29:10,200 --> 00:29:14,280 Speaker 1: that these are bona fide, peer reviewed medical studies. That's 531 00:29:14,360 --> 00:29:17,640 Speaker 1: essentially ignored by the Biden administration in the CDC, the 532 00:29:17,720 --> 00:29:21,480 Speaker 1: point being that they want to mandate vaccines and there's 533 00:29:21,600 --> 00:29:24,960 Speaker 1: no exemption even if you can show that you had 534 00:29:25,000 --> 00:29:27,800 Speaker 1: COVID and that you have I think what they call 535 00:29:27,920 --> 00:29:31,240 Speaker 1: T cell immunity, which is you had it and you 536 00:29:31,320 --> 00:29:33,680 Speaker 1: have resistance to it. You're in a sense in a 537 00:29:33,760 --> 00:29:36,920 Speaker 1: better position than somebody who hasn't had it. But they're 538 00:29:36,960 --> 00:29:40,320 Speaker 1: not allowing those exemptions. It's the sort of typical thing 539 00:29:40,400 --> 00:29:44,760 Speaker 1: we get from government, unfortunately, which is one size fits all. 540 00:29:45,200 --> 00:29:48,120 Speaker 1: And I think the bottom line sewn You've said it before, 541 00:29:48,480 --> 00:29:51,880 Speaker 1: I certainly believe it. You've got to take this disease seriously. 542 00:29:52,200 --> 00:29:55,560 Speaker 1: There are some really powerful tools like the vaccine that 543 00:29:55,680 --> 00:29:59,040 Speaker 1: can be brought to bear, but this notion that the 544 00:29:59,080 --> 00:30:02,880 Speaker 1: government by basically wants people to be quiet to fall 545 00:30:02,920 --> 00:30:05,800 Speaker 1: in line, exist, listen to exactly what they say. Don't 546 00:30:05,840 --> 00:30:08,560 Speaker 1: listen to somebody from Johns Hopkins, don't listen to somebody 547 00:30:08,600 --> 00:30:11,360 Speaker 1: from the Cleveland Clinic. It's part of the reason we 548 00:30:11,440 --> 00:30:15,040 Speaker 1: have people now that are distrustful of what Fauchi is saying. 549 00:30:15,160 --> 00:30:17,560 Speaker 1: He's changed his story. He's not been honest in it. 550 00:30:17,840 --> 00:30:20,600 Speaker 1: He's not been honest. He wasn't honest. And he was 551 00:30:20,640 --> 00:30:23,880 Speaker 1: told on January thirty first to twenty twenty that it 552 00:30:23,960 --> 00:30:27,280 Speaker 1: looked like this virus was manipulated on a lab. The 553 00:30:28,160 --> 00:30:32,000 Speaker 1: frenzy of emails that were revealed that he was scared 554 00:30:32,040 --> 00:30:35,000 Speaker 1: to death. It would be discovered that the NIH funded 555 00:30:35,320 --> 00:30:39,440 Speaker 1: the Wuhan Virology lab and that gain of function research 556 00:30:39,480 --> 00:30:43,560 Speaker 1: and coronavirus studies he knew was taking place there. And now, 557 00:30:43,600 --> 00:30:47,280 Speaker 1: of course, the nine hundred page nine hundred pages were 558 00:30:47,320 --> 00:30:51,840 Speaker 1: released by the Intercept expose all of Fauci's lies. It 559 00:30:51,880 --> 00:30:54,600 Speaker 1: looks like the American people helped fund the gain of 560 00:30:54,680 --> 00:30:58,200 Speaker 1: function research that led to the coronavirus from the Wuhan 561 00:30:58,320 --> 00:31:02,080 Speaker 1: virology lab that we were paying for. But God forbid we, 562 00:31:02,240 --> 00:31:05,040 Speaker 1: you know, he gets charged. He gets charged with lying 563 00:31:05,080 --> 00:31:09,080 Speaker 1: under oath all right, Peter, thank you, Peter Schweitzer, Eric Ergers, 564 00:31:09,160 --> 00:31:10,920 Speaker 1: thank you both. Quick break right back