1 00:00:00,560 --> 00:00:02,840 Speaker 1: Right hour two, Sean handed his show Toll Free. It's 2 00:00:02,840 --> 00:00:04,880 Speaker 1: eight hundred and ninety four one, Shawn, if you want 3 00:00:04,880 --> 00:00:07,480 Speaker 1: to be a part of the program. You know, all 4 00:00:07,520 --> 00:00:10,080 Speaker 1: of the last two years I've been talking about the 5 00:00:10,119 --> 00:00:13,080 Speaker 1: emergence of this new axis of evil, and that is 6 00:00:13,640 --> 00:00:18,520 Speaker 1: the relationships, the partnerships with China and Russia and Iran. 7 00:00:19,239 --> 00:00:22,960 Speaker 1: And what's fascinating now is all three countries now are 8 00:00:23,040 --> 00:00:26,720 Speaker 1: undergoing social unrest. In the case of Russia, it's you know, 9 00:00:27,080 --> 00:00:31,240 Speaker 1: Vladimir Putin trying to draft or conscript everybody, any warm 10 00:00:31,360 --> 00:00:34,720 Speaker 1: body into fighting this this insane war that he's not 11 00:00:34,800 --> 00:00:39,239 Speaker 1: been doing well in in Ukraine. In Iran, it is 12 00:00:39,320 --> 00:00:42,159 Speaker 1: the death of a woman in prison that has sparked 13 00:00:42,200 --> 00:00:47,400 Speaker 1: all around the country, deep unrest within within the country 14 00:00:47,440 --> 00:00:50,360 Speaker 1: of Iran, unlike anything we've seen, maybe even since nineteen 15 00:00:50,440 --> 00:00:53,360 Speaker 1: seventy nine. Although we're not getting enough video out of it, 16 00:00:54,080 --> 00:00:57,600 Speaker 1: we're watching China, you know, in the middle of these 17 00:00:57,760 --> 00:01:02,160 Speaker 1: draconian COVID lockdowns, you have Chinese citizens now taken to 18 00:01:02,240 --> 00:01:06,040 Speaker 1: the streets and it's gotten so interesting that they actually 19 00:01:06,040 --> 00:01:08,880 Speaker 1: want to get rid of President she and and where 20 00:01:08,880 --> 00:01:12,320 Speaker 1: this ends I don't know, but it's certainly fascinating to watch. 21 00:01:13,440 --> 00:01:15,840 Speaker 1: Will that eventually happen, I don't know. I don't I 22 00:01:15,840 --> 00:01:18,399 Speaker 1: don't have a crystal ball, but it's it's definitely worth 23 00:01:18,400 --> 00:01:22,200 Speaker 1: paying attention to. So as a result, all three have 24 00:01:22,240 --> 00:01:25,400 Speaker 1: been We see Putin now is in hiding, afraid that 25 00:01:25,440 --> 00:01:29,240 Speaker 1: he's going to get assassinated president. She is experiencing something 26 00:01:29,280 --> 00:01:32,000 Speaker 1: he never had to deal with before, and calls for 27 00:01:32,160 --> 00:01:34,920 Speaker 1: him to be removed from office, and calls for the 28 00:01:34,959 --> 00:01:37,880 Speaker 1: Ayatolas and the Mullahs to be removed from office. So 29 00:01:37,959 --> 00:01:43,880 Speaker 1: it's getting pretty interesting here anyway. So Anthony Fauci, let 30 00:01:43,920 --> 00:01:48,280 Speaker 1: me go to the COVID aspect of this virus. He 31 00:01:48,400 --> 00:01:51,560 Speaker 1: said on the COVID lab theory. Oh, I have a 32 00:01:51,600 --> 00:01:54,280 Speaker 1: completely open mind. That's not what he has been saying 33 00:01:54,320 --> 00:01:57,040 Speaker 1: all along, just like when he said, if you get 34 00:01:57,120 --> 00:02:00,520 Speaker 1: the vaccine, you'll never get covid. Okay, but they got 35 00:02:00,520 --> 00:02:03,800 Speaker 1: the vaccine and not one booster, but two boosters and 36 00:02:03,880 --> 00:02:05,720 Speaker 1: three boosters. I don't know how many boosters are they 37 00:02:05,800 --> 00:02:08,760 Speaker 1: up to now, Linda, because I never got a booster. 38 00:02:09,400 --> 00:02:13,280 Speaker 1: Yeah whatever, I'm about to go to number five. Great, Um, 39 00:02:13,639 --> 00:02:15,800 Speaker 1: you know I know more people that got boosted than 40 00:02:15,840 --> 00:02:19,360 Speaker 1: three weeks later end up with COVID. It's unreal and 41 00:02:19,400 --> 00:02:22,240 Speaker 1: I'll never trust these people again. They don't deserve our trust. 42 00:02:22,720 --> 00:02:25,960 Speaker 1: Now we do know that the nih did give money 43 00:02:26,000 --> 00:02:28,920 Speaker 1: to what's known as the Eco Alliance that did funnel 44 00:02:28,960 --> 00:02:33,720 Speaker 1: that money to the Wuhan, China Virology Lab. They knew 45 00:02:33,800 --> 00:02:36,760 Speaker 1: that Kina function research took place in that lab, and 46 00:02:36,800 --> 00:02:41,040 Speaker 1: they knew that coronavirus research took place in that lab. 47 00:02:41,919 --> 00:02:45,000 Speaker 1: And that's why those there in early what was it, 48 00:02:45,080 --> 00:02:49,760 Speaker 1: twenty twenty, Anthony Fauci with the top ranking people within 49 00:02:49,800 --> 00:02:52,880 Speaker 1: the nie H, they gave the grant to the Eco Alliance, 50 00:02:52,880 --> 00:02:55,840 Speaker 1: which gave the money to the Wuhan Virology Lab. You know, 51 00:02:55,919 --> 00:02:59,520 Speaker 1: there was a flurry of activity of them going back 52 00:02:59,520 --> 00:03:01,720 Speaker 1: and forth. They knew damn well that some of their 53 00:03:01,720 --> 00:03:05,359 Speaker 1: money may have gone to fund research into the origins 54 00:03:05,360 --> 00:03:08,720 Speaker 1: of this virus. Now Fauci is saying publicly he doesn't 55 00:03:08,720 --> 00:03:10,840 Speaker 1: care if he gets called to Congress. He's fine with that, 56 00:03:11,000 --> 00:03:14,560 Speaker 1: no problem. I have a completely open mind. And then 57 00:03:14,560 --> 00:03:17,079 Speaker 1: he says it's Donald Trump's fault that the Chinese weren't 58 00:03:17,080 --> 00:03:21,160 Speaker 1: cooperative in the COVID probe. No, the Chinese government weren't 59 00:03:21,160 --> 00:03:23,639 Speaker 1: going to let anybody go in there and find out 60 00:03:23,720 --> 00:03:26,520 Speaker 1: what really had happened here. But it's interesting is China 61 00:03:26,680 --> 00:03:29,440 Speaker 1: is now tightening security all over the country because of 62 00:03:29,480 --> 00:03:34,440 Speaker 1: the protests against these draconian shutdown measures. So you know 63 00:03:34,520 --> 00:03:36,680 Speaker 1: how this ultimately plays out. I don't know. I know 64 00:03:36,760 --> 00:03:40,520 Speaker 1: on Monday earlier today that police were stopping and searching 65 00:03:40,680 --> 00:03:44,520 Speaker 1: people at sites of weekend protests in Shanghai and Beijing 66 00:03:45,080 --> 00:03:50,640 Speaker 1: after crowds there and other cities were demonstrating these draconian shutdowns. 67 00:03:51,120 --> 00:03:54,080 Speaker 1: And you have from the streets of many Chinese cities 68 00:03:54,920 --> 00:03:59,720 Speaker 1: dozens of university campuses. Protesters now made one show of 69 00:04:00,240 --> 00:04:05,640 Speaker 1: disobedience after another, and many now want President she overthrown. 70 00:04:05,760 --> 00:04:08,520 Speaker 1: Now do they have the power to do so? Not really. 71 00:04:08,720 --> 00:04:11,360 Speaker 1: You can't win a revolution with a slingshot, and the 72 00:04:11,400 --> 00:04:14,119 Speaker 1: same would be applicable to Iran, and the same would 73 00:04:14,120 --> 00:04:16,880 Speaker 1: be applicable to Russia. The only thing that could happen 74 00:04:16,920 --> 00:04:19,719 Speaker 1: in Russia is somebody that wants power from Putin could 75 00:04:19,720 --> 00:04:22,600 Speaker 1: probably take out Putin if they're in close proximity to him, 76 00:04:22,920 --> 00:04:26,480 Speaker 1: which probably explains away why he has this high level 77 00:04:26,520 --> 00:04:29,839 Speaker 1: of paranoia. Anyway, joining us to weigh in, especially on 78 00:04:29,880 --> 00:04:31,960 Speaker 1: the issue of China is Gordon Chang. He is the 79 00:04:32,000 --> 00:04:35,960 Speaker 1: author of the Coming Collapse of China and the Great 80 00:04:36,080 --> 00:04:39,640 Speaker 1: US China Tech War. How are you, sir, I'm fine, Sean, 81 00:04:39,720 --> 00:04:43,240 Speaker 1: and thank you so much. I'd argue militarily that the 82 00:04:43,279 --> 00:04:48,200 Speaker 1: Communist Chinese have been out militarizing us now for a 83 00:04:48,320 --> 00:04:51,240 Speaker 1: longer period of time than anyone really wants to acknowledge. 84 00:04:51,839 --> 00:04:54,039 Speaker 1: I think they have been building and building up the 85 00:04:54,080 --> 00:04:56,920 Speaker 1: toughest military to compete with us as they possibly can. 86 00:04:57,120 --> 00:05:00,560 Speaker 1: We've seen that with their hypersonic missiles. They keep saber 87 00:05:00,600 --> 00:05:03,520 Speaker 1: rattling when it comes to Taiwan or what they call 88 00:05:03,720 --> 00:05:07,599 Speaker 1: reunification with Taiwan, and then of course no information regarding 89 00:05:07,600 --> 00:05:09,680 Speaker 1: the origins of COVID nineteen. Where do you think this 90 00:05:09,760 --> 00:05:13,000 Speaker 1: all stands? Well, you're absolutely right about that, and a 91 00:05:13,200 --> 00:05:16,200 Speaker 1: Sieging Ping is not only engaged in the fastest military 92 00:05:16,200 --> 00:05:19,360 Speaker 1: build up since the Second World War, he's also mobilizing 93 00:05:19,480 --> 00:05:24,479 Speaker 1: Chinese civilian society. A Chinese entrepreneur who was making civilian 94 00:05:24,520 --> 00:05:27,720 Speaker 1: products in the medical sector told me that Communist Party 95 00:05:27,760 --> 00:05:31,160 Speaker 1: cadres actually came to him and ordered that he switched 96 00:05:31,160 --> 00:05:33,800 Speaker 1: production so that he could be making things for the 97 00:05:33,880 --> 00:05:38,080 Speaker 1: Chinese military. And he said that other entrepreneurs had received 98 00:05:38,160 --> 00:05:41,480 Speaker 1: similar directives from the Communist Party, and that the Communist 99 00:05:41,520 --> 00:05:45,359 Speaker 1: Party was actually operating a number of factories because factory 100 00:05:45,360 --> 00:05:48,839 Speaker 1: owners didn't want to stick around, so they abandoned their properties. 101 00:05:49,120 --> 00:05:51,800 Speaker 1: So we see that it's the militarization of the entire 102 00:05:51,880 --> 00:05:56,280 Speaker 1: Chinese society. And President Biden does not want to recognize 103 00:05:56,320 --> 00:05:59,080 Speaker 1: that there is no sense of urgency in the White House, 104 00:05:59,279 --> 00:06:02,359 Speaker 1: and there's no urgency in the Pentagon either, especially among 105 00:06:02,400 --> 00:06:04,800 Speaker 1: the three and four Stars. So this is a very 106 00:06:04,960 --> 00:06:08,479 Speaker 1: dangerous situation for us. I think it's dangerous also for 107 00:06:08,520 --> 00:06:11,480 Speaker 1: the world. Do you think there's any possibility at all 108 00:06:11,560 --> 00:06:14,720 Speaker 1: any scenario under which you can see President Chief seating 109 00:06:14,760 --> 00:06:18,080 Speaker 1: power or being taken out? Yes, I actually do. And 110 00:06:18,240 --> 00:06:20,960 Speaker 1: the reason is that we and I agree with you. 111 00:06:21,680 --> 00:06:25,600 Speaker 1: The protesters don't even have slingshots, but we do know 112 00:06:25,800 --> 00:06:31,040 Speaker 1: that there is widespread dissatisfaction, anger, resentment against Sejun Ping. 113 00:06:31,520 --> 00:06:34,200 Speaker 1: And it was extraordinary over the weekend that you had 114 00:06:34,279 --> 00:06:37,960 Speaker 1: protesters in major Chinese cities calling for him to leave 115 00:06:38,080 --> 00:06:41,440 Speaker 1: and calling for the Communist Party to be overthrown. You know, 116 00:06:41,560 --> 00:06:45,160 Speaker 1: we haven't heard rhetoric like that in three decades, and 117 00:06:45,200 --> 00:06:47,799 Speaker 1: even in the tenements. What would be the latest example 118 00:06:47,839 --> 00:06:52,159 Speaker 1: Tieneman Square, Tenement Square, But very few of the tenement 119 00:06:52,279 --> 00:06:56,400 Speaker 1: protesters called for the destruction of the Communist Party. They 120 00:06:56,440 --> 00:06:59,360 Speaker 1: wanted the party to liberalize so that there would be 121 00:06:59,760 --> 00:07:03,800 Speaker 1: more room for freedom of expression. You have to go 122 00:07:03,880 --> 00:07:08,440 Speaker 1: back to nineteen forty nine to find a similar situation. 123 00:07:08,839 --> 00:07:11,880 Speaker 1: That's when the Communists took over China, and they took 124 00:07:11,880 --> 00:07:16,560 Speaker 1: over China from a superior Shankai Shek's Nationalist Party. And 125 00:07:16,600 --> 00:07:19,640 Speaker 1: the reason that the Communists were able to prevail against 126 00:07:19,680 --> 00:07:24,080 Speaker 1: a much stronger foe is because the Nationalists had lost 127 00:07:24,240 --> 00:07:27,600 Speaker 1: people's hearts, as a famous Chinese historian has put it. 128 00:07:27,960 --> 00:07:31,400 Speaker 1: So really what we're talking about is today the Communist 129 00:07:31,480 --> 00:07:34,480 Speaker 1: Party has lost hearts. They can coerce people, they can 130 00:07:34,520 --> 00:07:38,080 Speaker 1: intimidate people, they can put people in jail, But eventually 131 00:07:38,280 --> 00:07:40,080 Speaker 1: I think the Chinese people are going to get rid 132 00:07:40,080 --> 00:07:42,920 Speaker 1: of siege and king. That's going to be fascinating to 133 00:07:42,960 --> 00:07:45,760 Speaker 1: see how that unfolds. What do we know about the 134 00:07:45,880 --> 00:07:49,680 Speaker 1: military now, We know that about unfair trade practices, we 135 00:07:49,720 --> 00:07:53,360 Speaker 1: know about intellectual property theft, We know that we very 136 00:07:53,480 --> 00:07:57,960 Speaker 1: stupidly have been too reliant on China for key aspects 137 00:07:58,000 --> 00:08:00,880 Speaker 1: of our manufacturing. For example, these hips that are also 138 00:08:01,000 --> 00:08:03,720 Speaker 1: important for cars, which is one of the reasons that 139 00:08:03,800 --> 00:08:07,600 Speaker 1: manufacturers can't build the cars to the extent that demand 140 00:08:07,680 --> 00:08:10,720 Speaker 1: is calling for it. But we've allowed that to happen. 141 00:08:11,200 --> 00:08:14,280 Speaker 1: How intertwined are we with them and are we making 142 00:08:14,320 --> 00:08:19,360 Speaker 1: any progress detangling our economic futures with them? Well, we're 143 00:08:19,360 --> 00:08:22,240 Speaker 1: making a fair amount of progress. And President Trump in 144 00:08:22,400 --> 00:08:26,440 Speaker 1: twenty eighteen imposed those tariffs. Those were for the remedy 145 00:08:26,480 --> 00:08:29,480 Speaker 1: of theft of intellectual property, but what those Section three 146 00:08:29,560 --> 00:08:33,160 Speaker 1: or one tariffs also did was convinced manufacturers that they 147 00:08:33,200 --> 00:08:36,200 Speaker 1: had to diversify their sources as supply, in other words, 148 00:08:36,880 --> 00:08:40,760 Speaker 1: diversifying out of China. And recently, in this goes back 149 00:08:40,840 --> 00:08:43,440 Speaker 1: let's say six months or so, we have seen a 150 00:08:43,480 --> 00:08:47,280 Speaker 1: lot of companies moved to Mexico, move out of China 151 00:08:47,400 --> 00:08:50,800 Speaker 1: because they're really concerned. They're concerned about the COVID lockdowns, 152 00:08:51,040 --> 00:08:54,160 Speaker 1: they're concerned about cejumping causing troubles with the neighbors and 153 00:08:54,200 --> 00:08:58,040 Speaker 1: with the United States, and they're concerned that the manufacturing 154 00:08:58,840 --> 00:09:02,880 Speaker 1: environment in China is generally not good. So we're seeing 155 00:09:03,040 --> 00:09:08,160 Speaker 1: some disentangling. Now. President Biden has actually supported Communist Party 156 00:09:08,240 --> 00:09:10,959 Speaker 1: in the sense of taking a number of actions that 157 00:09:11,000 --> 00:09:14,839 Speaker 1: have convinced manufacturers they don't have to move. But we're 158 00:09:14,920 --> 00:09:18,400 Speaker 1: also seeing manufacturers can read their handwriting on the wall. 159 00:09:18,760 --> 00:09:20,840 Speaker 1: So this is a good trend for us, and I 160 00:09:20,840 --> 00:09:23,280 Speaker 1: hope that the President can actually start to get on 161 00:09:23,320 --> 00:09:25,959 Speaker 1: board on this. You know, there has been the sentiment 162 00:09:26,000 --> 00:09:28,600 Speaker 1: do you think, look, I know, the wet market theory 163 00:09:28,679 --> 00:09:32,280 Speaker 1: that you have these exotic animals that are consumed by people. 164 00:09:32,720 --> 00:09:35,280 Speaker 1: For example, why anybody would ever eat a bat, I 165 00:09:35,320 --> 00:09:38,240 Speaker 1: don't know, but you know, different cultures have, you know, 166 00:09:38,320 --> 00:09:41,040 Speaker 1: different palettes, different taste. I don't make any judgments about it. 167 00:09:41,080 --> 00:09:43,160 Speaker 1: I don't really care what people eat. You know, people 168 00:09:43,160 --> 00:09:45,000 Speaker 1: may make fun of the fact that we eat turkey 169 00:09:45,040 --> 00:09:51,560 Speaker 1: and chicken and pork and cows. Right. However, it never 170 00:09:51,600 --> 00:09:54,719 Speaker 1: seemed like a viable theory, but our government wanted to 171 00:09:54,760 --> 00:09:57,880 Speaker 1: cling to that belief, or some in our government wanted 172 00:09:57,880 --> 00:10:01,640 Speaker 1: to cling to that belief when the most obvious, the 173 00:10:01,760 --> 00:10:04,240 Speaker 1: area that we should be most obviously searching for the 174 00:10:04,280 --> 00:10:07,560 Speaker 1: origins of COVID would be the Wuhan virology lab. But 175 00:10:07,640 --> 00:10:11,320 Speaker 1: that then puts in, you know, in our sites, the 176 00:10:11,360 --> 00:10:14,880 Speaker 1: actions of the NIAH run under doctor Anthony Fauci, which 177 00:10:14,880 --> 00:10:17,920 Speaker 1: many Democrats have never wanted to you know, do or 178 00:10:18,240 --> 00:10:20,600 Speaker 1: never wanted to go to that area. Yeah, you put 179 00:10:20,600 --> 00:10:24,360 Speaker 1: your finger on it. We've had a government now since 180 00:10:24,920 --> 00:10:29,400 Speaker 1: twenty twenty one January twenty which has purposely not raised 181 00:10:29,440 --> 00:10:32,160 Speaker 1: the issue of the origins of COVID nineteen. You know, 182 00:10:32,360 --> 00:10:34,760 Speaker 1: Biden did not raise it when he saw CIGE impinging 183 00:10:34,800 --> 00:10:37,320 Speaker 1: on the sidelines of the g twenty this month, and 184 00:10:37,400 --> 00:10:40,120 Speaker 1: he didn't raise it in his five previous video or 185 00:10:40,120 --> 00:10:42,640 Speaker 1: phone calls with the Chinese leader. He just does not 186 00:10:42,760 --> 00:10:45,240 Speaker 1: want to talk about it. But as of this morning, Sean, 187 00:10:45,320 --> 00:10:48,760 Speaker 1: we're talking about one million, seventy nine thousand Americans have 188 00:10:48,920 --> 00:10:52,439 Speaker 1: died from this disease, according to the Johns Hopkins Coronavirus 189 00:10:52,480 --> 00:10:55,120 Speaker 1: Resource Center. And there's one other thing that we know, Sean. 190 00:10:55,880 --> 00:10:59,280 Speaker 1: I actually think that this coronavirus came from the Wuhan 191 00:10:59,360 --> 00:11:03,240 Speaker 1: Institute of It was a military program. But there's something 192 00:11:03,280 --> 00:11:06,160 Speaker 1: that we know a hundred percent. We know that one 193 00:11:06,240 --> 00:11:09,360 Speaker 1: hundred percent that once this disease got out into Chinese society, 194 00:11:09,640 --> 00:11:13,520 Speaker 1: Siejimping deliberately spread it beyond China's borders. He turned it 195 00:11:13,679 --> 00:11:17,360 Speaker 1: into a biological weapon if it wasn't started out life 196 00:11:17,400 --> 00:11:20,680 Speaker 1: as one. He lied about contagiousness that he told the 197 00:11:20,679 --> 00:11:23,440 Speaker 1: Trump administration, don't worry, it's not contagious at all, when 198 00:11:23,440 --> 00:11:26,400 Speaker 1: they knew it was highly transmissible human to human, And 199 00:11:26,480 --> 00:11:28,840 Speaker 1: while they were locking down their own country, they were 200 00:11:28,880 --> 00:11:32,120 Speaker 1: pressuring us to take arrivals from China's without restrictions. You 201 00:11:32,240 --> 00:11:35,160 Speaker 1: put those two, it's even one step worse than that, 202 00:11:35,240 --> 00:11:38,520 Speaker 1: and you're the only other person besides myself that's picked 203 00:11:38,600 --> 00:11:41,679 Speaker 1: up on this. Remember, China had the first travel ban. 204 00:11:41,760 --> 00:11:44,839 Speaker 1: It wasn't Donald Trump's travel ban, and their travel ban 205 00:11:45,080 --> 00:11:48,040 Speaker 1: was you're if you're living in Wuhan, you could not 206 00:11:48,240 --> 00:11:51,880 Speaker 1: travel to any other part of China. You couldn't leave Wuhan, 207 00:11:52,320 --> 00:11:54,720 Speaker 1: but you could leave Wuhan and go anywhere else in 208 00:11:54,760 --> 00:11:57,880 Speaker 1: the world. That to me, reveals everything we needed to 209 00:11:57,920 --> 00:12:01,760 Speaker 1: know about the communist Chinese. They didn't care, they knew 210 00:12:01,760 --> 00:12:04,480 Speaker 1: what was going on there. They were they protected their 211 00:12:04,520 --> 00:12:06,520 Speaker 1: country from the spread or the rest of the country 212 00:12:06,520 --> 00:12:10,040 Speaker 1: from the spread, and they had no concern about about 213 00:12:10,120 --> 00:12:14,880 Speaker 1: people in Muhan. Bringing COVID with them all over the world. Absolutely, 214 00:12:14,920 --> 00:12:17,800 Speaker 1: And that means the six million, six hundred thousand people 215 00:12:17,800 --> 00:12:21,160 Speaker 1: who have died from this disease outside China, all of 216 00:12:21,200 --> 00:12:24,200 Speaker 1: them have been murdered. We should consider them, all of 217 00:12:24,240 --> 00:12:27,760 Speaker 1: them victims of the murder unreal. All right, we appreciate 218 00:12:27,720 --> 00:12:30,240 Speaker 1: your time, Gordon Chang, Thank you as always. Eight hundred 219 00:12:30,240 --> 00:12:31,920 Speaker 1: and nine for one, Shawn is a number if you 220 00:12:31,960 --> 00:12:36,640 Speaker 1: want to be a part of the program of busy phones. 221 00:12:37,000 --> 00:12:40,240 Speaker 1: In is Piper in Ohio. Piper, Hi, how are you 222 00:12:40,440 --> 00:12:44,480 Speaker 1: and welcome up board. Hope you had a great Thanksgiving? Oh, yes, definitely. Hi. 223 00:12:44,559 --> 00:12:46,079 Speaker 1: How are you doing, mister Sean. It's a pleasure to 224 00:12:46,120 --> 00:12:49,640 Speaker 1: speak to you. The pleasure is all mine. What's happening? Yes, So, 225 00:12:50,000 --> 00:12:51,520 Speaker 1: you know, one of the things I wanted to talk 226 00:12:51,520 --> 00:12:54,280 Speaker 1: about is, you know, Trump's ranstatement on Twitter. It is 227 00:12:54,320 --> 00:12:57,920 Speaker 1: just amazing how so far people on the left are 228 00:12:58,000 --> 00:13:02,600 Speaker 1: melting down, you know, going easy, saying the most egregious statement, 229 00:13:02,640 --> 00:13:05,720 Speaker 1: making the most egregious statements on Trump's reinstatement. You know, 230 00:13:06,080 --> 00:13:09,040 Speaker 1: I thought, you know, people on the left or pro 231 00:13:09,200 --> 00:13:14,440 Speaker 1: democracy and pro freedom of speech, until it comes down 232 00:13:14,480 --> 00:13:17,560 Speaker 1: to somebody that they don't agree with and they want 233 00:13:17,559 --> 00:13:22,400 Speaker 1: them banned definitively. It's crazy their hip hops. And I'm 234 00:13:22,400 --> 00:13:25,880 Speaker 1: gonna be honest, I'm enjoying watching the left meltdown over 235 00:13:25,960 --> 00:13:30,080 Speaker 1: Elon Musk. Elon Musk said this weekend that millions of 236 00:13:30,120 --> 00:13:34,240 Speaker 1: people joining every day, and so it's funny that all 237 00:13:34,240 --> 00:13:38,160 Speaker 1: the attention that he's garnering by being provocative. I just 238 00:13:38,200 --> 00:13:42,400 Speaker 1: find him highly intelligent and he loves to, you know, 239 00:13:42,520 --> 00:13:44,920 Speaker 1: poke people around a little bit and stir the pot. 240 00:13:45,000 --> 00:13:47,800 Speaker 1: And I'm to me, it's just entertaining because people are 241 00:13:47,840 --> 00:13:50,360 Speaker 1: bubbling and visiting and giving off all their energy and 242 00:13:50,880 --> 00:13:54,040 Speaker 1: exerting kind of like the Trump's thing, the same phony 243 00:13:54,080 --> 00:13:58,199 Speaker 1: outrage over everything Elon Musk says and does. He doesn't 244 00:13:58,200 --> 00:14:00,320 Speaker 1: seem too nervous to me that he's lost. You know, 245 00:14:00,360 --> 00:14:03,760 Speaker 1: apparently billions of dollars, you know, corporations as big as 246 00:14:03,800 --> 00:14:06,319 Speaker 1: his go through these ups and downs. That's not a surprise. 247 00:14:06,760 --> 00:14:09,360 Speaker 1: He paid an awful lot of money for it. I 248 00:14:09,360 --> 00:14:11,080 Speaker 1: don't think Trump is going to get back on it, 249 00:14:11,080 --> 00:14:13,320 Speaker 1: would be my guest, because he's got his truth social 250 00:14:13,400 --> 00:14:16,760 Speaker 1: site for himself, so why would he. Of course, you know, 251 00:14:16,800 --> 00:14:19,160 Speaker 1: once AOC announced he didn't want to pay the eight 252 00:14:19,240 --> 00:14:21,840 Speaker 1: bucks for the blue check mark. I had somebody tweet 253 00:14:21,840 --> 00:14:25,600 Speaker 1: out on my team that I'll be gladly pay the 254 00:14:25,640 --> 00:14:27,600 Speaker 1: eight bucks now that all the liberals are going to leave, 255 00:14:27,800 --> 00:14:29,600 Speaker 1: of course. And one thing, one more thing I want 256 00:14:29,600 --> 00:14:31,800 Speaker 1: to say. You have Adam Shift, you know, making these 257 00:14:31,800 --> 00:14:35,480 Speaker 1: statements on how he should not be reinstated and how 258 00:14:35,520 --> 00:14:38,760 Speaker 1: it was a mistake of Elon Musk. But again, I 259 00:14:38,800 --> 00:14:42,280 Speaker 1: thought the Democrats were for the Constitution and for the 260 00:14:42,320 --> 00:14:44,680 Speaker 1: First Amendments, you know, the freedom of speech. So let 261 00:14:44,720 --> 00:14:47,080 Speaker 1: me ask you this. If it was three weeks perform 262 00:14:47,080 --> 00:14:50,600 Speaker 1: an election and a laptop of one of the Trump 263 00:14:50,680 --> 00:14:54,520 Speaker 1: kids had incriminating information on it, and that story was 264 00:14:54,520 --> 00:14:57,880 Speaker 1: written by oh, I don't know, maybe the New York Times. 265 00:14:58,080 --> 00:15:01,440 Speaker 1: Do you think social media company these would have banned 266 00:15:01,600 --> 00:15:05,160 Speaker 1: the sharing of that article, you think without knowing anything 267 00:15:05,160 --> 00:15:07,240 Speaker 1: about it? Oh, no, not at all. In fact, you'll 268 00:15:07,280 --> 00:15:09,200 Speaker 1: see the Democrats go to you know, one of the 269 00:15:09,240 --> 00:15:14,040 Speaker 1: children's house and arresting themselves. I listen, I can see 270 00:15:14,080 --> 00:15:15,920 Speaker 1: all of that happening. Who knows, I mean, they just 271 00:15:15,960 --> 00:15:18,240 Speaker 1: have lost their mind. Anyway, my friend appreciate it. Got 272 00:15:18,240 --> 00:15:20,000 Speaker 1: to take a quick break we'll come back eight hundred 273 00:15:20,080 --> 00:15:21,920 Speaker 1: nine one, Sean our number if you want to be 274 00:15:21,920 --> 00:15:26,200 Speaker 1: a part of the program as we continue. This is 275 00:15:26,240 --> 00:15:29,760 Speaker 1: the Sean Hannity Show, A twenty five to the top 276 00:15:29,800 --> 00:15:33,560 Speaker 1: of the hour. I love this happens almost after every 277 00:15:33,760 --> 00:15:37,880 Speaker 1: single election. Things that the Democrats really believe in, really 278 00:15:37,920 --> 00:15:41,120 Speaker 1: want to advance, really care the most about, start coming out. 279 00:15:41,440 --> 00:15:43,680 Speaker 1: And last week we got a glimpse into it with 280 00:15:43,880 --> 00:15:46,680 Speaker 1: Chuck Schumer saying that he wants amnesty for all these 281 00:15:46,720 --> 00:15:49,800 Speaker 1: illegal immigrants in the country. Why didn't he say that 282 00:15:49,920 --> 00:15:53,280 Speaker 1: the week before the election? Why didn't all Democrats run 283 00:15:53,320 --> 00:15:56,480 Speaker 1: on it, considering I bet they'll all vote for it. 284 00:15:56,480 --> 00:15:59,520 Speaker 1: It's pretty transparent what they're trying to do now. Joe 285 00:15:59,560 --> 00:16:03,040 Speaker 1: Biden goes out again post election. He's not gonna say 286 00:16:03,040 --> 00:16:06,000 Speaker 1: it before the election. How he wants to get rid 287 00:16:06,040 --> 00:16:10,960 Speaker 1: of assault weapons. Listen, the idea, the idea we still 288 00:16:11,000 --> 00:16:16,360 Speaker 1: allow semi automatic weapons to be purchased is sick, he says, sick. 289 00:16:17,000 --> 00:16:21,920 Speaker 1: It has no no social d value, sero none, not 290 00:16:22,120 --> 00:16:25,920 Speaker 1: a single solitary rational afford except profit for the gunmanfressure, 291 00:16:26,040 --> 00:16:28,120 Speaker 1: can you do anything about gun lastering? The lame doctor 292 00:16:28,400 --> 00:16:31,400 Speaker 1: I'm gonna try, but I'm gonna try to get rid 293 00:16:31,400 --> 00:16:34,280 Speaker 1: of asaulworkers. I'm gonna try. What do you get? Hell yeah, 294 00:16:34,320 --> 00:16:37,080 Speaker 1: we'll come off your A K forty sevens. Then Beto Bozov, 295 00:16:37,440 --> 00:16:39,400 Speaker 1: you know, tries to tell the people of Texas. Oh no, 296 00:16:39,560 --> 00:16:41,960 Speaker 1: I'm really believing your Second Amendment rights. I mean, you 297 00:16:42,080 --> 00:16:44,840 Speaker 1: just you just can't make this stuff up anyway. Tom 298 00:16:44,920 --> 00:16:46,920 Speaker 1: is in the great city of Pittsburgh, Tom High, How 299 00:16:46,920 --> 00:16:49,480 Speaker 1: are you glad you called? Hey, Sean? Thank you very much, 300 00:16:49,600 --> 00:16:52,280 Speaker 1: appreciate it. Um, I think I'm gonna be a little 301 00:16:52,320 --> 00:16:55,600 Speaker 1: bit more single minded here. Um. I'm a forty year 302 00:16:55,720 --> 00:16:58,760 Speaker 1: radio broadcaster, as was my father before me, and I 303 00:16:58,760 --> 00:17:01,600 Speaker 1: have to say, look, what kind of format did you work? 304 00:17:02,040 --> 00:17:04,399 Speaker 1: I worked a mom mostly music, but I did my 305 00:17:04,440 --> 00:17:08,640 Speaker 1: own talk shows. I want to commend you on your 306 00:17:09,600 --> 00:17:13,119 Speaker 1: broadcasting up to the mid term election. I caught you 307 00:17:13,160 --> 00:17:15,200 Speaker 1: a couple of times than every time I caught you, 308 00:17:15,200 --> 00:17:17,679 Speaker 1: you were trying to keep it a level playing field 309 00:17:17,680 --> 00:17:21,359 Speaker 1: with your listeners, telling them that these races were extremely close. 310 00:17:22,000 --> 00:17:24,240 Speaker 1: You might be looking at a red wave, but in 311 00:17:24,280 --> 00:17:26,760 Speaker 1: your opinion, you might want to be a little bit 312 00:17:26,760 --> 00:17:30,200 Speaker 1: more conservative about that. That view point and as it 313 00:17:30,240 --> 00:17:32,679 Speaker 1: turned out, you were exactly right. I just want to 314 00:17:32,720 --> 00:17:36,639 Speaker 1: thank you from a broadcasting point of view for keeping 315 00:17:36,680 --> 00:17:39,800 Speaker 1: it real, because I didn't hear anybody else doing that. 316 00:17:39,800 --> 00:17:41,920 Speaker 1: They're all preaching red wave, we're gonna win, We're gonna 317 00:17:41,960 --> 00:17:45,560 Speaker 1: do this, and down to yeah. I mean, there was 318 00:17:45,600 --> 00:17:48,679 Speaker 1: an over exuberance that actually was making me nervous, to 319 00:17:48,760 --> 00:17:51,800 Speaker 1: be very blunt. Look, I had more time to think 320 00:17:51,800 --> 00:17:53,399 Speaker 1: about this, and I want to run this by you, 321 00:17:53,440 --> 00:17:55,520 Speaker 1: and you tell me if you agree or don't agree, 322 00:17:56,119 --> 00:17:59,440 Speaker 1: whether we want to admit this or not. There are 323 00:17:59,720 --> 00:18:03,920 Speaker 1: lots of people in this country that buy into this 324 00:18:04,640 --> 00:18:08,879 Speaker 1: leftist New Green Deal cradle to grave, womb to the 325 00:18:08,920 --> 00:18:13,960 Speaker 1: tomb version of New Green Deal socialism way more than 326 00:18:14,000 --> 00:18:16,200 Speaker 1: we may think. For example, we did see a lot 327 00:18:16,200 --> 00:18:18,000 Speaker 1: of young people vote, and I think one of the 328 00:18:18,040 --> 00:18:22,199 Speaker 1: reasons or younger people vote was because they thought they 329 00:18:22,200 --> 00:18:24,560 Speaker 1: were going to get their student loans forgiven. I really 330 00:18:24,600 --> 00:18:27,600 Speaker 1: believe that. Then, of course, abortion was the big issue 331 00:18:27,640 --> 00:18:32,040 Speaker 1: that some people worried about, and that became a big issue, 332 00:18:32,080 --> 00:18:35,199 Speaker 1: and a lot of states had had abortion referendums on 333 00:18:35,240 --> 00:18:37,960 Speaker 1: the state on the state palette. The second day, We've 334 00:18:38,000 --> 00:18:40,680 Speaker 1: got to look at and Georgia needs to be looking 335 00:18:40,720 --> 00:18:42,800 Speaker 1: at it now. And I'm not sure they're going to 336 00:18:44,240 --> 00:18:47,080 Speaker 1: pay attention to this, and they need to. If Warnock 337 00:18:47,160 --> 00:18:50,919 Speaker 1: goes into election day, you know, with three four hundred 338 00:18:50,920 --> 00:18:55,080 Speaker 1: thousand vote lead, probably mathematically it's impossible for Herschel to 339 00:18:55,080 --> 00:18:58,240 Speaker 1: catch up at that point. And there is this reluctance 340 00:18:58,240 --> 00:19:03,120 Speaker 1: and resistance that Republicans and conservatives have towards the current 341 00:19:03,200 --> 00:19:06,960 Speaker 1: voting system, which is early voting, voting by mail, etc. Etc. 342 00:19:07,880 --> 00:19:12,120 Speaker 1: And unless you start playing the way playing this game, 343 00:19:12,160 --> 00:19:15,360 Speaker 1: the way the Democrats are playing, you're going to continue 344 00:19:15,359 --> 00:19:18,040 Speaker 1: to lose. Now one last thing, and I promise you're 345 00:19:18,080 --> 00:19:20,360 Speaker 1: going to get as much time as you want to respond. 346 00:19:21,200 --> 00:19:24,800 Speaker 1: Is this what I call accelerated migration. Baby boomers now 347 00:19:24,840 --> 00:19:26,919 Speaker 1: coming to age, they want to leave and retire, go 348 00:19:26,960 --> 00:19:30,920 Speaker 1: to warmer weather or less taxes, less bureaucracy, and then 349 00:19:30,960 --> 00:19:34,800 Speaker 1: accelerated even further by COVID lockdown shutdowns. They want their 350 00:19:34,840 --> 00:19:38,440 Speaker 1: kids to have in person learning and states like Florida, 351 00:19:38,480 --> 00:19:42,199 Speaker 1: the Carolinas, Tennessee, in Texas they're seeing massive amounts of 352 00:19:42,200 --> 00:19:45,560 Speaker 1: people move into their states, the majority of which are 353 00:19:45,600 --> 00:19:48,960 Speaker 1: coming from the Northeast and the Midwest. That makes all 354 00:19:49,040 --> 00:19:53,040 Speaker 1: of these states now harder to win if a Republican 355 00:19:53,119 --> 00:19:55,320 Speaker 1: is running for president. You know, how do you get 356 00:19:55,359 --> 00:19:59,200 Speaker 1: to two seventy We're now officially facing a math problem 357 00:19:59,520 --> 00:20:02,760 Speaker 1: to electing a Republican president. It's not impossible. I'm saying 358 00:20:02,800 --> 00:20:06,600 Speaker 1: it's hard. I appreciate you noticing it. But every single 359 00:20:06,920 --> 00:20:09,920 Speaker 1: you know race that we were watching covering, I knew 360 00:20:10,200 --> 00:20:12,679 Speaker 1: these were all bell Weather states. I knew the voting 361 00:20:12,760 --> 00:20:15,760 Speaker 1: had changed. Probably is going to be that way for 362 00:20:15,800 --> 00:20:19,080 Speaker 1: a longer time than any of us want. But it 363 00:20:19,240 --> 00:20:21,399 Speaker 1: certainly is not an advantage for us. How do we 364 00:20:21,440 --> 00:20:24,400 Speaker 1: win the popular vote and win more seats? Anyway, I'll 365 00:20:24,400 --> 00:20:27,240 Speaker 1: give it over to you. Well, I have to tell 366 00:20:27,280 --> 00:20:29,440 Speaker 1: you that's a lot to unpack, and I can see 367 00:20:29,440 --> 00:20:32,080 Speaker 1: you doing that every day. I watched both of your shows, 368 00:20:32,080 --> 00:20:38,120 Speaker 1: and I'm not sure that voters right now really understand 369 00:20:38,200 --> 00:20:41,720 Speaker 1: what they're what they're dealing with, um not in a 370 00:20:41,920 --> 00:20:48,000 Speaker 1: large procession type of outlook over it. You tell somebody, hey, 371 00:20:48,000 --> 00:20:50,480 Speaker 1: we're going to forgive your student loan debt boom, You're 372 00:20:50,560 --> 00:20:52,919 Speaker 1: my man. I'm not even thinking about any of the 373 00:20:52,960 --> 00:20:55,119 Speaker 1: other things that might cancel you out because you're not 374 00:20:55,160 --> 00:20:57,960 Speaker 1: being fair about them, and that's going to go for 375 00:20:58,480 --> 00:21:00,720 Speaker 1: I think it's going to boil down today. Education of 376 00:21:00,840 --> 00:21:04,360 Speaker 1: the of the voter um. I'm not a Republican, I'm 377 00:21:04,400 --> 00:21:09,439 Speaker 1: not a Democrat. I'm an independent, independent voter. I like 378 00:21:09,480 --> 00:21:11,280 Speaker 1: to walk down the middle of the aisle and say, hey, 379 00:21:11,320 --> 00:21:13,320 Speaker 1: you know, and that's a good idea, that's a good idea, 380 00:21:13,600 --> 00:21:17,880 Speaker 1: or that's a bad idea. But I pay attention. It's 381 00:21:17,920 --> 00:21:20,639 Speaker 1: it's educating the voter, it's getting them out there. You 382 00:21:20,720 --> 00:21:22,880 Speaker 1: have you said you had a lot of younger voters. 383 00:21:23,440 --> 00:21:26,200 Speaker 1: I'm telling you they only voted because they can vote now. 384 00:21:26,480 --> 00:21:28,480 Speaker 1: And there was one thing on the ballot that they 385 00:21:28,480 --> 00:21:30,240 Speaker 1: were worried about and they got it from this person. 386 00:21:30,320 --> 00:21:33,280 Speaker 1: That's it. They're they're not really as educated as you 387 00:21:33,320 --> 00:21:36,520 Speaker 1: need them to be. We need to know. They're believing 388 00:21:36,560 --> 00:21:40,480 Speaker 1: the lie that abortion is outlawed in America. That's not true. 389 00:21:41,080 --> 00:21:44,600 Speaker 1: They're believing that Joe Biden has the power constitutionally and 390 00:21:44,760 --> 00:21:47,840 Speaker 1: he's now lost twice in the courts, but he's holding 391 00:21:47,880 --> 00:21:51,400 Speaker 1: it out yet again. Student loan forgiveness and will never 392 00:21:51,600 --> 00:21:55,400 Speaker 1: be upheld as constitutional. I don't see it happening and 393 00:21:55,440 --> 00:21:57,879 Speaker 1: then of course the scare Granny with the you know, 394 00:21:58,080 --> 00:22:03,080 Speaker 1: Obama and Clintons and Biden's out there, you know talking 395 00:22:03,080 --> 00:22:07,040 Speaker 1: about Megarepublicans wanting to steal your social Security, your Medicare, 396 00:22:07,119 --> 00:22:10,959 Speaker 1: and take away VA benefits, none of which any Republican 397 00:22:11,040 --> 00:22:15,240 Speaker 1: is running on. So you know, unfortunately these tactics work, 398 00:22:15,400 --> 00:22:18,160 Speaker 1: which is why they use the same playbook every election year. 399 00:22:18,760 --> 00:22:21,359 Speaker 1: We'll take all of that and then add in a 400 00:22:21,680 --> 00:22:26,160 Speaker 1: huge media monster that in nineteen ninety six when Bill 401 00:22:26,200 --> 00:22:30,840 Speaker 1: Clinton signed over the the Telecommunications Act and allowed all 402 00:22:30,880 --> 00:22:33,880 Speaker 1: of the stations or radio and television to pick aside. 403 00:22:34,560 --> 00:22:37,680 Speaker 1: You've got a lot of that picking the Democratic side 404 00:22:37,680 --> 00:22:40,199 Speaker 1: because that was where they were getting paid. You know, 405 00:22:41,119 --> 00:22:46,480 Speaker 1: besides box talk radio and a few other outlets, it's 406 00:22:46,520 --> 00:22:49,280 Speaker 1: pretty much all dominated by the left. I mean, I 407 00:22:49,320 --> 00:22:55,080 Speaker 1: would argue the dearth of outlets available for people with 408 00:22:55,119 --> 00:22:59,119 Speaker 1: my opinions has greatly contributed to if you want to 409 00:22:59,119 --> 00:23:02,440 Speaker 1: say I have any success that I've had or I'm 410 00:23:02,480 --> 00:23:05,679 Speaker 1: able to have, it's because people are seeking out alternative 411 00:23:05,680 --> 00:23:08,400 Speaker 1: forms of information, you know, and it's it is interesting 412 00:23:08,440 --> 00:23:11,240 Speaker 1: to look at demographics, I mean, the number of liberals 413 00:23:11,240 --> 00:23:14,120 Speaker 1: that watch Hannity the TV show. If you'd be shocked. 414 00:23:14,240 --> 00:23:17,240 Speaker 1: I was shocked by it. Yeah, I did not expect. 415 00:23:17,560 --> 00:23:19,359 Speaker 1: But in their minds, they want to know what the 416 00:23:19,440 --> 00:23:22,879 Speaker 1: enemy is thinking. I guarantee you that's the bull process. Well, 417 00:23:22,920 --> 00:23:24,720 Speaker 1: I think that they also want to find a place 418 00:23:24,720 --> 00:23:27,600 Speaker 1: that tells the truth. I can't I fact checked you before. 419 00:23:28,080 --> 00:23:35,120 Speaker 1: I can't think of anything that you'd lied about. Well, 420 00:23:35,160 --> 00:23:38,119 Speaker 1: I appreciate your kind words. Um, are you still broadcasting it? 421 00:23:38,160 --> 00:23:40,359 Speaker 1: And I bet your dad was proud you went into broadcasting, 422 00:23:40,400 --> 00:23:42,520 Speaker 1: although I will tell you I'd never wanted my kids 423 00:23:42,560 --> 00:23:46,159 Speaker 1: to go into broadcasting ever. Yeah, I don't either, But 424 00:23:46,280 --> 00:23:48,920 Speaker 1: my dad did. He Did you ever hear the Electric Wheenie? 425 00:23:49,080 --> 00:23:51,879 Speaker 1: The electric? What the electric Wheenie? It was a It 426 00:23:51,960 --> 00:23:54,639 Speaker 1: was a joke sheet that my dad sent out to 427 00:23:54,680 --> 00:23:57,560 Speaker 1: all the morning disc jockey's also like a morning joke 428 00:23:57,640 --> 00:23:59,800 Speaker 1: sheet that's sent all over the country. I have seen them. 429 00:24:00,040 --> 00:24:02,360 Speaker 1: Don't remember the names of him, but I have seen him. 430 00:24:02,680 --> 00:24:05,800 Speaker 1: My dad's was the first. Oh really, how cool is 431 00:24:05,840 --> 00:24:10,119 Speaker 1: that it's called him? I said, but you can't retire 432 00:24:10,160 --> 00:24:12,960 Speaker 1: from my show? And he said, Annity, I'm not retiring 433 00:24:13,000 --> 00:24:16,879 Speaker 1: until they put me in a box. You know, remember 434 00:24:16,920 --> 00:24:19,800 Speaker 1: that he's had an amazing career. He actually invented Morning 435 00:24:19,880 --> 00:24:23,040 Speaker 1: Zoo radio and he's a great If you haven't seen it, 436 00:24:23,040 --> 00:24:26,639 Speaker 1: it's really if you love broadcasting, you don't love I 437 00:24:26,680 --> 00:24:29,160 Speaker 1: think it's called from Last to First, but you can 438 00:24:29,240 --> 00:24:31,399 Speaker 1: find it if you look at the Scott Shannon story. 439 00:24:31,760 --> 00:24:35,520 Speaker 1: They did a biography on him. It is an incocredible, 440 00:24:35,640 --> 00:24:39,119 Speaker 1: incredible story. If you like broadcasting, did you talk to Scott? 441 00:24:39,960 --> 00:24:42,800 Speaker 1: It's called worst to first. Linda's correcting me in my 442 00:24:42,880 --> 00:24:46,919 Speaker 1: year from worst to first. That actually happened, and Shannon 443 00:24:46,960 --> 00:24:51,320 Speaker 1: he gave my father Um his first. He won the 444 00:24:51,359 --> 00:24:55,240 Speaker 1: Top Radio Personality Award in nineteen seventy one with Billboard Magazine. 445 00:24:55,320 --> 00:24:58,919 Speaker 1: Scott Shannon gave that to him and on stage in 446 00:24:59,080 --> 00:25:02,920 Speaker 1: La So, yeah, I quite a bit about Scott. Yeah. Well, 447 00:25:02,960 --> 00:25:05,000 Speaker 1: I'll tell you. One of the honors of my life 448 00:25:05,080 --> 00:25:08,080 Speaker 1: is I got to induct Scott Shannon into the Radio 449 00:25:08,119 --> 00:25:12,400 Speaker 1: Hall of Fame. Yeah. How cool is that? He did? 450 00:25:12,480 --> 00:25:15,399 Speaker 1: All right, God bless you. My friend Tom in Pittsburgh. 451 00:25:15,400 --> 00:25:18,240 Speaker 1: Thanks for checking in. I hope it sounds like you're retired. 452 00:25:18,280 --> 00:25:21,840 Speaker 1: I hope you're enjoying it. The final hour a roundup 453 00:25:22,000 --> 00:25:24,399 Speaker 1: is next. You do not want to miss it and 454 00:25:24,640 --> 00:25:28,200 Speaker 1: stay tuned for the final hour Freeverall on the Sean 455 00:25:28,480 --> 00:25:34,520 Speaker 1: Hannaday Show. Hey, let's get back to our busy phones. 456 00:25:35,440 --> 00:25:37,679 Speaker 1: Let's say how to russ Is in Ohio? Russ Hi, 457 00:25:37,800 --> 00:25:40,400 Speaker 1: how are you glad you called? Hey? Sean a long 458 00:25:40,480 --> 00:25:44,400 Speaker 1: time listener. Back to hennadan Comb's day. Well, welcome aboard, sir. 459 00:25:44,960 --> 00:25:49,040 Speaker 1: I want to talk about COVID. Last year, about Sunday 460 00:25:49,119 --> 00:25:52,800 Speaker 1: or Monday before Thanksgiving, my wife started giving getting flu 461 00:25:52,920 --> 00:25:57,359 Speaker 1: like symptoms. She has diabetes and other health complications. She 462 00:25:57,560 --> 00:26:00,919 Speaker 1: was double vaxed. I've never received the vaccine for religious 463 00:26:01,520 --> 00:26:05,680 Speaker 1: objection reasons, but I she went, got tested, and on 464 00:26:05,760 --> 00:26:10,280 Speaker 1: Wednesday before Thanksgiving, she came back positive for COVID. So 465 00:26:10,359 --> 00:26:13,919 Speaker 1: I called a nurse practitioner friend of mine who works 466 00:26:13,920 --> 00:26:17,040 Speaker 1: for a Christian doctor because I knew not to call 467 00:26:17,160 --> 00:26:21,520 Speaker 1: my regular doctor. I already knew, so told him what 468 00:26:21,680 --> 00:26:24,800 Speaker 1: was going on. And on Thanksgiving Day this doctor called 469 00:26:24,840 --> 00:26:29,960 Speaker 1: back and took my did a telehealth with me and 470 00:26:30,040 --> 00:26:34,360 Speaker 1: my wife had a send him over our meds which 471 00:26:34,359 --> 00:26:39,040 Speaker 1: we had on our phones, and then he ordered monoclonal infusions, 472 00:26:39,040 --> 00:26:43,080 Speaker 1: which we got on Saturday. And then he ordered hydroxy 473 00:26:43,160 --> 00:26:51,360 Speaker 1: chloroquine and azethramiason of our We both used different main pharmacies, 474 00:26:51,400 --> 00:26:55,120 Speaker 1: a big name pharmacies. Neither of those would fill the hydroxy. 475 00:26:55,240 --> 00:26:58,919 Speaker 1: So we found an independent pharmacy. Yeah, we found an 476 00:26:58,960 --> 00:27:03,479 Speaker 1: independent pharmacy in our area who agreed to fill it. 477 00:27:04,119 --> 00:27:08,800 Speaker 1: So on Tuesday we started. And I've never had any symptoms, 478 00:27:10,000 --> 00:27:12,080 Speaker 1: but even while I was around her for several days, 479 00:27:12,200 --> 00:27:16,200 Speaker 1: but he told us to quarantine and had us both 480 00:27:16,440 --> 00:27:19,600 Speaker 1: follow the same protocol, and we both got the effusions. 481 00:27:19,640 --> 00:27:23,080 Speaker 1: And we started the hydroxy and the zither mice and 482 00:27:23,080 --> 00:27:25,440 Speaker 1: and he also had us at zinc D three and 483 00:27:25,600 --> 00:27:30,320 Speaker 1: vitamin C. We started those on Tuesday and in two days, 484 00:27:30,359 --> 00:27:34,080 Speaker 1: my wife's symptoms were completely gone. And I never got 485 00:27:34,119 --> 00:27:37,919 Speaker 1: any symptoms at all, and probably never got it. It 486 00:27:38,040 --> 00:27:40,320 Speaker 1: might have prevented you from getting it. Listen to me, 487 00:27:40,880 --> 00:27:43,600 Speaker 1: and again I'm not a doctor, but the monoclonal antibodies, 488 00:27:44,040 --> 00:27:46,280 Speaker 1: they're harder and harder to find. I'm glad you were 489 00:27:46,320 --> 00:27:48,879 Speaker 1: able to get them, and they are different ones for 490 00:27:49,000 --> 00:27:53,439 Speaker 1: different variants. The other thing that there are numerous studies 491 00:27:53,440 --> 00:27:56,520 Speaker 1: that came out that showed yeah, taken early, hydroxy does 492 00:27:56,600 --> 00:28:00,359 Speaker 1: mitigate some of the symptoms, and then they have pack leavid, 493 00:28:00,440 --> 00:28:03,440 Speaker 1: which is now available. The only downside with packx lavid, 494 00:28:03,520 --> 00:28:05,639 Speaker 1: and this, by the way, happened to Fauci, it happened 495 00:28:05,640 --> 00:28:08,600 Speaker 1: to Jill and Joe Biden, is that you know you'll 496 00:28:08,600 --> 00:28:11,360 Speaker 1: test negative in five days, and then five or six 497 00:28:11,440 --> 00:28:13,840 Speaker 1: days or seven days after that you'll be positive again. 498 00:28:14,160 --> 00:28:17,520 Speaker 1: It's called a rebound. And most of the people I 499 00:28:17,600 --> 00:28:20,080 Speaker 1: know will either get another run of the packs leavid 500 00:28:20,240 --> 00:28:22,800 Speaker 1: or they'll just wait it out and build up natural immunity. 501 00:28:23,560 --> 00:28:26,160 Speaker 1: It's a shame most people don't know all of this. 502 00:28:26,600 --> 00:28:29,679 Speaker 1: If I, if I ever try to count, Linda, you 503 00:28:29,720 --> 00:28:33,040 Speaker 1: can back me up on this, the number of hours 504 00:28:33,080 --> 00:28:36,720 Speaker 1: I have spent trying to help people get information that 505 00:28:36,760 --> 00:28:40,880 Speaker 1: should have been made readily available in terms of therapeutics, 506 00:28:40,920 --> 00:28:46,440 Speaker 1: monoclonal antibodies now packs Leavit, etc. Linda, how many? I mean, 507 00:28:46,600 --> 00:28:50,840 Speaker 1: I've spent days in this life endless, constant and endless, 508 00:28:50,880 --> 00:28:53,280 Speaker 1: and it was really sad, and people would call all 509 00:28:53,320 --> 00:28:57,240 Speaker 1: the time, what's that thing, Hannity said, mono mono nucleosis. 510 00:28:57,320 --> 00:28:59,840 Speaker 1: Let me tell you something. There was no sadder moment 511 00:29:00,080 --> 00:29:03,080 Speaker 1: then around this time last year when you did the 512 00:29:03,560 --> 00:29:05,560 Speaker 1: blow the line thing, and we just like went through 513 00:29:05,560 --> 00:29:07,520 Speaker 1: every single qualer and you said, what do I say? 514 00:29:07,560 --> 00:29:09,800 Speaker 1: And not one person knew? Because I was like, people know, 515 00:29:09,920 --> 00:29:11,600 Speaker 1: we say it all the time. It's enough. You're like, 516 00:29:11,640 --> 00:29:13,880 Speaker 1: oh really, okay, let's try it. And you were right, 517 00:29:14,040 --> 00:29:16,320 Speaker 1: nobody knew. You know, people will say, well, Hannity, you 518 00:29:16,360 --> 00:29:19,520 Speaker 1: get repetitive because you because if I didn't say, if 519 00:29:19,520 --> 00:29:21,600 Speaker 1: I say it once, it's just going to disappear in 520 00:29:21,600 --> 00:29:23,840 Speaker 1: the ether. You know, maybe a few people will pick 521 00:29:23,840 --> 00:29:27,080 Speaker 1: it up. But if I mentioned monoclonal lantibodies when nobody 522 00:29:27,120 --> 00:29:30,240 Speaker 1: else was talking about therapeutics and say it over and 523 00:29:30,320 --> 00:29:32,880 Speaker 1: over and over again on purpose, I'm not I'm not 524 00:29:32,960 --> 00:29:35,960 Speaker 1: saying it just to hear myself talk. But it takes 525 00:29:36,480 --> 00:29:40,560 Speaker 1: you know, of weeks and months for it to really 526 00:29:40,640 --> 00:29:45,840 Speaker 1: become part of the lexicon of an audience to understand 527 00:29:45,920 --> 00:29:49,720 Speaker 1: exactly what I'm talking about. And I just wanted this audience, 528 00:29:49,760 --> 00:29:51,680 Speaker 1: but in particular I wanted you to be armed with 529 00:29:51,720 --> 00:29:55,600 Speaker 1: information that was not readily available, but then consult with 530 00:29:55,640 --> 00:29:58,400 Speaker 1: your doctor doctors and make a decision based on your 531 00:29:58,400 --> 00:30:03,280 Speaker 1: own medical condition. But also I will tell you that 532 00:30:03,400 --> 00:30:07,800 Speaker 1: the latest variants have not been as lethal as the 533 00:30:08,280 --> 00:30:12,760 Speaker 1: alpha variant, the original variant. Uh and but you know what, 534 00:30:12,880 --> 00:30:16,000 Speaker 1: it's a virus. They mutate and you can get one 535 00:30:16,040 --> 00:30:17,840 Speaker 1: that will be even stronger than the first one. At 536 00:30:17,880 --> 00:30:20,920 Speaker 1: some point, we're not done with this. Unfortunately, I wish 537 00:30:20,920 --> 00:30:23,280 Speaker 1: we were. Anyway, I appreciate the call, my friend, God 538 00:30:23,280 --> 00:30:25,400 Speaker 1: bless you. Eight hundred and nine four one Sean. If 539 00:30:25,400 --> 00:30:33,360 Speaker 1: you want to be a part of the program,