1 00:00:00,080 --> 00:00:02,760 Speaker 1: A news found up information overload hour eight hundred nine 2 00:00:02,800 --> 00:00:05,080 Speaker 1: for one, Shawn, if you want to be a part 3 00:00:05,120 --> 00:00:07,920 Speaker 1: of the program. So the polls in the Commonwealth of 4 00:00:08,000 --> 00:00:11,040 Speaker 1: Virginia for the gubernatorial race after that, you know the 5 00:00:11,160 --> 00:00:15,040 Speaker 1: idiot Terry mccauloff that he is in his comments parents 6 00:00:15,120 --> 00:00:17,520 Speaker 1: shouldn't be involved in the school system at all. I'm like, 7 00:00:17,920 --> 00:00:21,120 Speaker 1: that's their job, you know, screaming against him. But you're 8 00:00:21,160 --> 00:00:24,079 Speaker 1: an unsafe person. You don't have your mask on, are 9 00:00:24,079 --> 00:00:27,120 Speaker 1: you vaxed? I mean he's a lunatic and he's got 10 00:00:27,120 --> 00:00:29,680 Speaker 1: to bring in the big guns. You know, Joe Biden's 11 00:00:29,720 --> 00:00:33,440 Speaker 1: approval rating is in the dirt and Virginia, so that 12 00:00:33,520 --> 00:00:38,400 Speaker 1: race has tightened within the margin of error. Now recent 13 00:00:38,479 --> 00:00:41,120 Speaker 1: polls show in New Jersey it's not quite as close. 14 00:00:41,479 --> 00:00:44,920 Speaker 1: But is it possible because you've had Republicans elected governor 15 00:00:44,920 --> 00:00:48,800 Speaker 1: in New Jersey, like for example, Governor Christie Christy Todd Whitman. 16 00:00:50,159 --> 00:00:53,479 Speaker 1: Is it possible New Jersey in this gubernatorial race On 17 00:00:53,560 --> 00:00:57,160 Speaker 1: November second, can turn red a couple of interesting ads. 18 00:00:57,760 --> 00:01:02,000 Speaker 1: Jack Chetarelli's the Republican running and he didn't add on 19 00:01:02,080 --> 00:01:05,640 Speaker 1: how Murphy failed New Jersey And another ad highlighting how 20 00:01:05,720 --> 00:01:08,640 Speaker 1: Murphy who was caught not wearing a mask and he 21 00:01:09,000 --> 00:01:12,400 Speaker 1: put out a mask mandate. Still and anyway, he was 22 00:01:12,480 --> 00:01:15,160 Speaker 1: warned not to send people that have a COVID positive 23 00:01:15,200 --> 00:01:18,319 Speaker 1: to nursing homes. Over eight thousand people died in New Jersey. 24 00:01:18,319 --> 00:01:21,120 Speaker 1: Why he got a pass and Cuomo didn't, I don't know. Listen, 25 00:01:22,200 --> 00:01:24,480 Speaker 1: have you seen the ads film Murphy's lying about me? 26 00:01:24,720 --> 00:01:27,360 Speaker 1: I would too if I had his record. I'm Jack Chittarelli. 27 00:01:27,520 --> 00:01:30,280 Speaker 1: Film Murby's failed us in every turn. He's increased, spending 28 00:01:30,319 --> 00:01:33,440 Speaker 1: eleven billion dollars. Are you better off? Murders and gun 29 00:01:33,520 --> 00:01:36,360 Speaker 1: violence are way up, The lines of motor vehicles are 30 00:01:36,360 --> 00:01:38,880 Speaker 1: a joke, and we have the highest property taxes in 31 00:01:38,880 --> 00:01:42,160 Speaker 1: the nation. Yet Phil Murphy says, if taxes are your issue, 32 00:01:42,240 --> 00:01:44,440 Speaker 1: we're probably not your state. No wonder he wants to 33 00:01:44,520 --> 00:01:48,240 Speaker 1: change the subject New Jersey. We can do better when 34 00:01:48,280 --> 00:01:52,960 Speaker 1: I'm governor, we will, According to PHILM. Nursey, as the 35 00:01:53,000 --> 00:02:01,120 Speaker 1: temperatures rise, person wants New Jersey sweat rather than force Walt. 36 00:02:01,520 --> 00:02:05,160 Speaker 1: That's because Formurphy support and people be sub gender that 37 00:02:05,400 --> 00:02:09,400 Speaker 1: enable to promot to sir fandoms and gourlessness. Session drive 38 00:02:09,520 --> 00:02:19,760 Speaker 1: race providing your communities for Jose medical safety. They set themselves. 39 00:02:21,320 --> 00:02:24,600 Speaker 1: Thank you, um, and so get the mark on im me, Dear, 40 00:02:24,720 --> 00:02:28,000 Speaker 1: I'm gey commitser for help at them, I am not 41 00:02:28,200 --> 00:02:32,000 Speaker 1: very much. I have a brief question, and that is 42 00:02:32,720 --> 00:02:35,600 Speaker 1: you ask the patent COVID guide page from the hospital. 43 00:02:35,800 --> 00:02:38,880 Speaker 1: At the help of the pandemic, Governor Murphy used his 44 00:02:39,080 --> 00:02:43,040 Speaker 1: power to force Nurcy House to admit COVID positive patients 45 00:02:43,200 --> 00:02:48,079 Speaker 1: despite CDC GUIDs. Really is an immediate giberty. Uh, we 46 00:02:48,280 --> 00:02:54,400 Speaker 1: know that it very difficult, um, growed wid to put 47 00:02:54,480 --> 00:02:57,640 Speaker 1: out guiding on how to do it a focal place. 48 00:02:58,520 --> 00:03:04,320 Speaker 1: Yet the papers do you understand that? Why add that 49 00:03:04,480 --> 00:03:11,320 Speaker 1: patients will die that wouldn't otherwise have died. Governor Murphy 50 00:03:11,440 --> 00:03:15,760 Speaker 1: was warned he sent COVID positive patients to nursing homes. Anyway, 51 00:03:16,160 --> 00:03:19,880 Speaker 1: now more than eight thousand seniors and veterans are dead, 52 00:03:20,320 --> 00:03:27,040 Speaker 1: and Governor Murphy still doesn't have an answer. All right, unbelievable. Anyway, 53 00:03:27,680 --> 00:03:31,359 Speaker 1: Jack Chattarelli is with us, all right, your state has 54 00:03:31,440 --> 00:03:34,400 Speaker 1: lost a lot of people that a conservative and Republican 55 00:03:34,680 --> 00:03:36,640 Speaker 1: that would normally vote for you in New Jersey. That's 56 00:03:36,640 --> 00:03:40,200 Speaker 1: why Republicans have won the governorship many times in New Jersey. 57 00:03:40,840 --> 00:03:44,880 Speaker 1: A lot of those people have moved. That concerns me 58 00:03:44,960 --> 00:03:47,880 Speaker 1: because I think that hurt you in this race. Am 59 00:03:47,920 --> 00:03:52,200 Speaker 1: I wrong? Well, listen, a lot of people have left, Sean. 60 00:03:52,280 --> 00:03:54,040 Speaker 1: But here's a fact that a lot of people don't know. 61 00:03:55,040 --> 00:03:58,000 Speaker 1: Phil Murphy lost his mid terms two years ago. Two 62 00:03:58,080 --> 00:04:00,360 Speaker 1: years ago, Republicans did something we hadn't done it twenty 63 00:04:00,400 --> 00:04:03,040 Speaker 1: eight years, something we didn't do in either Christie's wins. 64 00:04:03,280 --> 00:04:06,200 Speaker 1: We picked up seats in the state legislature. Phil Murphy 65 00:04:06,280 --> 00:04:09,080 Speaker 1: lost his midterms. In my mind, that was the beginning 66 00:04:09,160 --> 00:04:11,480 Speaker 1: of the beginning of the rejection of the guys whose 67 00:04:11,520 --> 00:04:14,440 Speaker 1: extremism is just a bad fit for New Jersey. So 68 00:04:14,600 --> 00:04:18,840 Speaker 1: we can win this race. Yeah, well, listen, I look 69 00:04:18,880 --> 00:04:21,520 Speaker 1: at the guy. How Come Andrew Cuomo got the hell 70 00:04:21,600 --> 00:04:23,880 Speaker 1: beat out of him over the nursing home scandal when 71 00:04:23,960 --> 00:04:27,120 Speaker 1: the exact same executive order was put in place by 72 00:04:27,279 --> 00:04:31,120 Speaker 1: Governor Wolfe of Pennsylvania and Governor Murphy in New Jersey. 73 00:04:31,160 --> 00:04:33,800 Speaker 1: How come they weren't held accountable. I'll tell you what 74 00:04:33,920 --> 00:04:36,720 Speaker 1: really began to Saint Cuomo Sean is when it was 75 00:04:36,800 --> 00:04:40,240 Speaker 1: found out that his government was lying about the nursing 76 00:04:40,279 --> 00:04:43,760 Speaker 1: home death numbers. That's what really began the downfall for 77 00:04:44,360 --> 00:04:47,839 Speaker 1: Andrew Pombo. They were lying about the numbers. Now what's 78 00:04:47,920 --> 00:04:51,760 Speaker 1: interesting is und Donald Trump, four states were being investigated 79 00:04:51,800 --> 00:04:55,240 Speaker 1: for nursing home deaths. Four states. Now only one is 80 00:04:55,240 --> 00:04:58,680 Speaker 1: being investigated, and that's New Jersey. So even Joe Biden's 81 00:04:58,720 --> 00:05:03,160 Speaker 1: Department of Justice is investigating Phil Murphy's nursing debts. Let's 82 00:05:03,200 --> 00:05:05,520 Speaker 1: not forget the greatest number of nursing home debts in 83 00:05:05,520 --> 00:05:08,480 Speaker 1: New Jersey took place in the veterans' homes owned and 84 00:05:08,560 --> 00:05:10,760 Speaker 1: operated by the state. So I look forward to the 85 00:05:10,800 --> 00:05:13,760 Speaker 1: outcome of that investigation, which continues. Well, was it going 86 00:05:13,839 --> 00:05:15,760 Speaker 1: to be before the election, because we were supposed to 87 00:05:15,760 --> 00:05:18,200 Speaker 1: get the Durham report before the twenty twenty election. That 88 00:05:18,320 --> 00:05:21,320 Speaker 1: never happened either. Well, Sean, you and I both know 89 00:05:21,480 --> 00:05:24,200 Speaker 1: that that probably won't happen. But you know, it really 90 00:05:24,279 --> 00:05:27,200 Speaker 1: bugs me about the Democratic legislature. We had a scandal 91 00:05:27,240 --> 00:05:29,760 Speaker 1: of years back in New Jersey called Bridgegate. Nobody died 92 00:05:30,000 --> 00:05:33,000 Speaker 1: and there were investigational hearings with subpoena power. Here we've 93 00:05:33,000 --> 00:05:35,760 Speaker 1: had nursing home debts that lead the nation and the 94 00:05:35,839 --> 00:05:37,320 Speaker 1: most of the debts were in the state owned and 95 00:05:37,400 --> 00:05:40,920 Speaker 1: operated nursing homes. And there's no investigational hearings with subpoena power. 96 00:05:41,279 --> 00:05:44,480 Speaker 1: Smells like election year politics to me. Yeah, all right, 97 00:05:44,600 --> 00:05:47,640 Speaker 1: so now let's talk about voting laws in New Jersey. 98 00:05:47,720 --> 00:05:48,880 Speaker 1: By the way, I did get a kick out of 99 00:05:48,960 --> 00:05:52,080 Speaker 1: Murphy saying, oh, if you don't like high taxes, you 100 00:05:52,160 --> 00:05:56,400 Speaker 1: can pretty much leave. Is that's who we are. I'm like, whoa, Okay, 101 00:05:57,040 --> 00:05:59,520 Speaker 1: if you're not well, if you fight against higher taxes, 102 00:05:59,520 --> 00:06:02,479 Speaker 1: get out of That's like Andrew Cuomo saying, if you're 103 00:06:02,520 --> 00:06:07,320 Speaker 1: a conservative and you're pro life and pro assault weapon 104 00:06:07,600 --> 00:06:11,880 Speaker 1: and anti gay, Okay, I'm a conservative. I am pro life, 105 00:06:12,120 --> 00:06:16,280 Speaker 1: i am pro Second Amendment. I'm not anti anybody. You 106 00:06:16,480 --> 00:06:20,160 Speaker 1: don't belong here because you're not a New Yorker. That's 107 00:06:20,200 --> 00:06:22,360 Speaker 1: not all who New Yorkers are. I mean, I'm like, 108 00:06:22,480 --> 00:06:25,000 Speaker 1: this is what are these governors saying? You know what 109 00:06:25,160 --> 00:06:27,200 Speaker 1: ended up happening, Jackie, You'll get a kick out of it. 110 00:06:27,240 --> 00:06:29,640 Speaker 1: Governor's from all around the country started calling my radio 111 00:06:29,720 --> 00:06:32,800 Speaker 1: show and saying, please come here. We'd love to have 112 00:06:32,880 --> 00:06:35,680 Speaker 1: you in our state. You bet they did, and Listen, 113 00:06:35,760 --> 00:06:37,960 Speaker 1: this was the ultimate insult. But you know, one way 114 00:06:38,040 --> 00:06:41,400 Speaker 1: Seanny revealed and revealing himself to us, he did us 115 00:06:41,440 --> 00:06:44,360 Speaker 1: all a favor. You saw his soul. He stood there 116 00:06:44,400 --> 00:06:46,960 Speaker 1: and said, if taxes are your issue, we're probably not 117 00:06:47,120 --> 00:06:49,240 Speaker 1: your state. But then he topped that when he said 118 00:06:49,279 --> 00:06:51,080 Speaker 1: he wanted to make New Jersey to California of the 119 00:06:51,120 --> 00:06:54,440 Speaker 1: East coast. Listen, we know our state's broken, but we 120 00:06:54,560 --> 00:06:56,040 Speaker 1: love our state. We don't want to be any of 121 00:06:56,080 --> 00:06:58,479 Speaker 1: the state. We're New Jersey, damn it. And we don't 122 00:06:58,480 --> 00:07:01,320 Speaker 1: need any governor telling us to leave over the taxes. 123 00:07:01,600 --> 00:07:04,000 Speaker 1: Do something about the taxes, and we don't need anything. 124 00:07:04,279 --> 00:07:08,719 Speaker 1: I admire that you running. Look, I want Curtis Sleewood 125 00:07:08,760 --> 00:07:10,680 Speaker 1: to win. I want you to win. I'd love to 126 00:07:10,760 --> 00:07:14,560 Speaker 1: see I got We have a primary. Andrew, Julianna, rob Astrino, 127 00:07:15,480 --> 00:07:18,400 Speaker 1: Les Eldon are running for a Cuomo spot. I got it. 128 00:07:19,320 --> 00:07:21,840 Speaker 1: I admire all of you for doing it, but it's 129 00:07:21,880 --> 00:07:25,400 Speaker 1: an uphill battle for all of you, and and I 130 00:07:25,560 --> 00:07:28,560 Speaker 1: hope you're successful. I hope the people in New Jersey 131 00:07:29,000 --> 00:07:33,320 Speaker 1: will look at the disaster that this guy created during COVID, 132 00:07:33,760 --> 00:07:35,800 Speaker 1: you know, look at the facts, look at their life, 133 00:07:35,880 --> 00:07:39,040 Speaker 1: look at their high taxes and take the opportunity to 134 00:07:39,680 --> 00:07:42,640 Speaker 1: right the ship in the state of New Jersey. I 135 00:07:42,760 --> 00:07:45,720 Speaker 1: don't know. It's an uphill fight, but I really admire 136 00:07:45,800 --> 00:07:48,760 Speaker 1: you for doing it well. I appreciate that, Sean. But listen, 137 00:07:48,840 --> 00:07:51,040 Speaker 1: know this, We've won six and the last ten governor 138 00:07:51,120 --> 00:07:54,160 Speaker 1: races in this state, and over that same four decade span, 139 00:07:54,280 --> 00:07:56,600 Speaker 1: every time a Democrat took the White House, guess what 140 00:07:56,760 --> 00:08:00,040 Speaker 1: New Jersey did the very next year elected Republican. And 141 00:08:00,040 --> 00:08:02,720 Speaker 1: then I'll repeat this guy lost his midterms two years ago. 142 00:08:03,000 --> 00:08:05,400 Speaker 1: So we're right where we need to be, all right. 143 00:08:05,400 --> 00:08:08,440 Speaker 1: I appreciate you spending the time with us. Jack Chedarelli 144 00:08:08,800 --> 00:08:12,320 Speaker 1: is the gubernatorial candidate for the Republicans in New Jersey. 145 00:08:12,440 --> 00:08:14,600 Speaker 1: Eight hundred nine for one. Seaan is our number. If 146 00:08:14,640 --> 00:08:16,119 Speaker 1: you want to be a part of the program. Jason 147 00:08:16,240 --> 00:08:18,880 Speaker 1: is in Ohio. Hey, Jason, glad you called, sir. Hey Sean, 148 00:08:19,040 --> 00:08:21,760 Speaker 1: thank you for having me on. How are you. I'm good? 149 00:08:21,840 --> 00:08:25,480 Speaker 1: How are you, sir? I'm doing well. So it's my 150 00:08:25,600 --> 00:08:30,680 Speaker 1: understanding that the CDC explains a free COVID vaccine it 151 00:08:30,840 --> 00:08:36,880 Speaker 1: provided through the hard earned taxpayers dollars, right and eligible 152 00:08:37,280 --> 00:08:42,079 Speaker 1: regardless of your insurers or immigration status is free and 153 00:08:42,280 --> 00:08:45,959 Speaker 1: you can get tested for free. Right, Why is the 154 00:08:46,040 --> 00:08:50,240 Speaker 1: flu vaccine not free? Why has this COVID vaccine been 155 00:08:50,360 --> 00:08:54,640 Speaker 1: free from the get go? Like a mandated agenda almost 156 00:08:54,679 --> 00:08:58,560 Speaker 1: if you will, It's now become like a religious fervor 157 00:08:58,679 --> 00:09:03,480 Speaker 1: for people. And its that And you know the fact 158 00:09:03,559 --> 00:09:08,040 Speaker 1: that nobody ever talks about now that we have breakthrough cases, 159 00:09:09,360 --> 00:09:11,560 Speaker 1: very few people. I wish I would name I can, 160 00:09:11,800 --> 00:09:14,480 Speaker 1: I can, I can tell you a name you would 161 00:09:14,520 --> 00:09:19,240 Speaker 1: instantly recognize. A public figure that had a breakthrough case 162 00:09:20,120 --> 00:09:22,719 Speaker 1: calls me, I said, have you talked to you a 163 00:09:22,840 --> 00:09:28,560 Speaker 1: doctor about monoclonal antibodies and therapeutics? He and the person 164 00:09:28,679 --> 00:09:31,079 Speaker 1: says to me, yeah, I heard about that. What is 165 00:09:31,120 --> 00:09:35,559 Speaker 1: that again? This person, I'm telling you, this is a 166 00:09:35,679 --> 00:09:38,240 Speaker 1: person that you would think knows this backwards and forwards 167 00:09:38,880 --> 00:09:41,640 Speaker 1: and doesn't have a clue about the antibody. Not a clue, 168 00:09:42,880 --> 00:09:46,440 Speaker 1: not a single clue. And it may be a hunch, 169 00:09:46,600 --> 00:09:48,640 Speaker 1: you know. And I'd hate to look in the thoughts 170 00:09:49,520 --> 00:09:53,920 Speaker 1: doctor Fashious or whatever you want to call him, his 171 00:09:54,440 --> 00:09:58,640 Speaker 1: portfolio to see perhaps if maybe Moderna or Fiser are 172 00:09:58,720 --> 00:10:04,200 Speaker 1: listed in his Uh uh, what's the word. I'm looking 173 00:10:04,240 --> 00:10:07,959 Speaker 1: for investments, if you will, so you can't dig that 174 00:10:08,120 --> 00:10:10,559 Speaker 1: deepest out public by the way, flip flop, the you know, 175 00:10:10,880 --> 00:10:14,960 Speaker 1: the lying, ever wrong, always wrong, doctor Fauci. All right, 176 00:10:15,200 --> 00:10:17,600 Speaker 1: I appreciate it. Jason, thank you eight hundred and nine 177 00:10:17,640 --> 00:10:19,319 Speaker 1: for one. Sean, you want to be a part of 178 00:10:19,400 --> 00:10:22,520 Speaker 1: the program. Jeremy new Hampshire next on the Sean Hannity Show, 179 00:10:22,559 --> 00:10:26,000 Speaker 1: The Live, Free or Die State. I hope you don't 180 00:10:26,040 --> 00:10:29,040 Speaker 1: mind that I stole your motto for my book. Not 181 00:10:29,160 --> 00:10:33,720 Speaker 1: a problem. What's going on? He thanks for taking my call. 182 00:10:33,760 --> 00:10:35,719 Speaker 1: I just want to richly know. So I went to 183 00:10:35,800 --> 00:10:37,800 Speaker 1: my doctor. I'm trying to save my job here. I'm 184 00:10:37,840 --> 00:10:39,800 Speaker 1: in I'm in the aerospace industry and I've been here 185 00:10:39,880 --> 00:10:44,000 Speaker 1: fifteen years. And uh, my doctor, I said, look, and 186 00:10:44,000 --> 00:10:46,439 Speaker 1: then the nurse answered, and I said, look, I'd like 187 00:10:46,440 --> 00:10:49,200 Speaker 1: to get an accommodation because of my my heart history, 188 00:10:50,080 --> 00:10:52,680 Speaker 1: with my medical history, with my heart condition and things 189 00:10:52,720 --> 00:10:56,280 Speaker 1: like that. And uh she said she I said, a 190 00:10:56,360 --> 00:10:59,920 Speaker 1: need accommodation. She laughed at me. She said the doctor's 191 00:11:00,000 --> 00:11:01,679 Speaker 1: not going to do that. And I said, what do 192 00:11:01,720 --> 00:11:04,160 Speaker 1: you mean, doctor is not going to do that? She said, well, 193 00:11:04,200 --> 00:11:06,880 Speaker 1: he's very poor vaccine. I was like, well, that's his choice. 194 00:11:07,120 --> 00:11:09,400 Speaker 1: She's like, well, fall we'll fall in the CDC guidelines. 195 00:11:09,840 --> 00:11:11,800 Speaker 1: And I'm like, well, I don't trust the CDC. She said, 196 00:11:11,800 --> 00:11:13,679 Speaker 1: well that's your problem. I was like, well, take me 197 00:11:13,720 --> 00:11:15,360 Speaker 1: off your list. I don't want to be your patient anymore. 198 00:11:15,400 --> 00:11:17,800 Speaker 1: She said, okay, no problem, click hung up on me. 199 00:11:18,080 --> 00:11:20,240 Speaker 1: And then a friend of mine just told me yesterday. 200 00:11:20,280 --> 00:11:23,080 Speaker 1: My best friend told me yesterday his doctor brought him 201 00:11:23,160 --> 00:11:26,480 Speaker 1: in because he's had cancer. And the doctor brought him 202 00:11:26,520 --> 00:11:28,600 Speaker 1: into the room. It was just them too, and he said, look, 203 00:11:28,600 --> 00:11:30,920 Speaker 1: I would love to give you this accommodation, but there's 204 00:11:30,920 --> 00:11:32,840 Speaker 1: a memo sent out about two months ago, and they 205 00:11:32,880 --> 00:11:35,560 Speaker 1: made it very clear to us as doctors that if 206 00:11:35,600 --> 00:11:39,520 Speaker 1: we give anybody any accommodations that you can see yourself 207 00:11:39,559 --> 00:11:44,720 Speaker 1: fired on spot. Well that you know, I will tell 208 00:11:44,760 --> 00:11:47,600 Speaker 1: you if it's a legitimate. Now that the New York 209 00:11:47,720 --> 00:11:50,920 Speaker 1: Court has ruled this week about medical exemptions, and I'm 210 00:11:50,960 --> 00:11:55,079 Speaker 1: sorry faith exemptions, and you know, I think there should 211 00:11:55,080 --> 00:11:58,600 Speaker 1: be medical exemptions. When I interviewed this eighteen no, I'm sorry, 212 00:11:58,679 --> 00:12:01,880 Speaker 1: nineteen year old girl, or I forgive me when she 213 00:12:02,080 --> 00:12:05,160 Speaker 1: was eighteen or nineteen, she had had a vaccine. I 214 00:12:05,240 --> 00:12:08,160 Speaker 1: didn't ask her which one. I didn't feel it was 215 00:12:08,160 --> 00:12:11,360 Speaker 1: an appropriate question. Anyway, had a very bad reaction, was 216 00:12:11,440 --> 00:12:14,319 Speaker 1: paralyzed for over a month, and her doctor says, you 217 00:12:14,480 --> 00:12:17,720 Speaker 1: can't get the vaccine. This is what her doctor saying. 218 00:12:17,920 --> 00:12:20,640 Speaker 1: I didn't go to medical school anyway. It ends up 219 00:12:21,160 --> 00:12:24,559 Speaker 1: her dream school was BYU in Hawaii. I didn't even 220 00:12:24,600 --> 00:12:26,439 Speaker 1: know there was a BYU in Hawaii, but there is. 221 00:12:26,480 --> 00:12:30,000 Speaker 1: Apparently it wasn't BYU. I want to be very clear here. 222 00:12:30,120 --> 00:12:33,160 Speaker 1: It was Hawaii that wouldn't allow her to go to 223 00:12:33,240 --> 00:12:37,199 Speaker 1: the school because of the one size fits all medicine 224 00:12:37,240 --> 00:12:40,040 Speaker 1: that everybody wants to practice, and most of the people 225 00:12:40,120 --> 00:12:43,520 Speaker 1: practicing medicine don't have a license. You know, these idiots 226 00:12:43,600 --> 00:12:48,360 Speaker 1: on the radio, these idiot podcast people, these idiots on TV, 227 00:12:48,720 --> 00:12:52,240 Speaker 1: and those idiots in Washington. You know what medical school 228 00:12:52,280 --> 00:12:55,600 Speaker 1: did they go to? You know, I, frankly, you watch 229 00:12:55,880 --> 00:12:59,520 Speaker 1: I would not be surprised if at some point people say, 230 00:13:00,080 --> 00:13:04,240 Speaker 1: you know, you're practicing medicine without a license. Don't beat 231 00:13:04,520 --> 00:13:07,520 Speaker 1: watch the legal side of this, it's going to explode. 232 00:13:07,600 --> 00:13:11,760 Speaker 1: And frankly, rightly so in many cases, and it was 233 00:13:11,960 --> 00:13:14,640 Speaker 1: very very encouraging the decision that came out of the 234 00:13:14,679 --> 00:13:18,839 Speaker 1: New York Court this week allowing for you know, if 235 00:13:18,880 --> 00:13:21,679 Speaker 1: you have a religious exemption and that that is a 236 00:13:21,800 --> 00:13:25,640 Speaker 1: legitimate reason. We have something that every law is based on. 237 00:13:25,720 --> 00:13:30,040 Speaker 1: It's called our constitution, and you haven't. We have freedom 238 00:13:30,720 --> 00:13:33,920 Speaker 1: of the press, freedom of speech, freedom, you know, where 239 00:13:33,920 --> 00:13:37,199 Speaker 1: all the my body, my choice. People, you know, no, 240 00:13:38,280 --> 00:13:41,079 Speaker 1: this is insane to me, but I urge people to 241 00:13:41,200 --> 00:13:43,839 Speaker 1: be very careful. I meet it with all my heart. 242 00:13:44,000 --> 00:13:47,000 Speaker 1: I don't want you to get this. My heart broke 243 00:13:47,040 --> 00:13:52,240 Speaker 1: when I heard somebody I know it's vaccinated, got the 244 00:13:52,360 --> 00:13:57,160 Speaker 1: virus today. And they asked for what are those things 245 00:13:57,240 --> 00:13:59,640 Speaker 1: you talk about on your show every day? And I 246 00:13:59,720 --> 00:14:02,240 Speaker 1: gave i'm a list and then I said, call your 247 00:14:02,360 --> 00:14:06,040 Speaker 1: doctor and make sure your doctor agrees with this, or 248 00:14:06,800 --> 00:14:11,120 Speaker 1: or just ask your doctor about these specific things. Took notes, 249 00:14:11,400 --> 00:14:15,480 Speaker 1: called the doctor. The doctor sent this patient to get 250 00:14:15,520 --> 00:14:19,240 Speaker 1: an infusion of regeneraon The doctor decided not me, not 251 00:14:19,400 --> 00:14:22,160 Speaker 1: Sean Hannity. Sean Hannity's not going to practice medicine without 252 00:14:22,200 --> 00:14:24,800 Speaker 1: a license. So it's trying to give you information that 253 00:14:24,840 --> 00:14:27,480 Speaker 1: will be useful to you, But ultimately it's between you 254 00:14:27,560 --> 00:14:30,280 Speaker 1: and your doctor. At the end of the day, we'll continue, 255 00:14:34,720 --> 00:14:37,880 Speaker 1: all right. So many Americans now they understand what defund 256 00:14:37,960 --> 00:14:40,360 Speaker 1: and dismantle the police is all about. Now a lot 257 00:14:40,400 --> 00:14:43,840 Speaker 1: of police departments are going to be losing workers, many 258 00:14:43,920 --> 00:14:47,760 Speaker 1: of them because of the Biden vaccine mandate. This is 259 00:14:48,160 --> 00:14:50,520 Speaker 1: going to be a disaster all around the country anyway. 260 00:14:50,880 --> 00:14:52,880 Speaker 1: So you know, you always got to count on yourself. 261 00:14:53,000 --> 00:14:55,600 Speaker 1: God forbid, somebody breaks into your house, what are you 262 00:14:55,760 --> 00:14:59,000 Speaker 1: going to do to protect yourself and your family. I 263 00:14:59,160 --> 00:15:01,600 Speaker 1: believe in the Second Amendment, just like my friends at 264 00:15:01,640 --> 00:15:06,240 Speaker 1: Henry Repeating Arms. The best firearm I've ever used is 265 00:15:06,280 --> 00:15:08,440 Speaker 1: a Henry Now they're made in America, or they're not 266 00:15:08,560 --> 00:15:12,120 Speaker 1: made at all. A rifle, a shotgun. Henry Repeating Arms, 267 00:15:12,640 --> 00:15:15,280 Speaker 1: you get them right out of the box. They're accurate. 268 00:15:15,400 --> 00:15:17,920 Speaker 1: That's not the same with other manufacturers. Trust me, I 269 00:15:18,000 --> 00:15:20,680 Speaker 1: have a pretty big gun collection anyway, so I own 270 00:15:20,720 --> 00:15:23,800 Speaker 1: a number of them. That craftsmanship is the finest I've 271 00:15:23,840 --> 00:15:26,640 Speaker 1: ever seen. And there's more than two hundred different models 272 00:15:26,680 --> 00:15:30,000 Speaker 1: to choose from. You've got a wide variety of calibers 273 00:15:30,040 --> 00:15:32,880 Speaker 1: and finishes. They've got a beautiful website. You can look 274 00:15:32,920 --> 00:15:36,080 Speaker 1: yourself at Henry USA dot com. You'll see their entire 275 00:15:36,720 --> 00:15:43,320 Speaker 1: line available. Their customer services insanely great. All their Henry's 276 00:15:43,320 --> 00:15:47,000 Speaker 1: are backed by a lifetime satisfaction guarantee. Now, whether you 277 00:15:47,080 --> 00:15:51,160 Speaker 1: want something for home defense, hunting, shooting sports, maybe you're 278 00:15:51,200 --> 00:15:53,840 Speaker 1: a beginner looking for your first firearm. They believe in 279 00:15:53,880 --> 00:15:57,480 Speaker 1: the Second Amendment and they believe in gun safety. Henry 280 00:15:57,680 --> 00:16:02,000 Speaker 1: repeating arms is the way to go, or shooting sports, beginners, 281 00:16:02,320 --> 00:16:04,800 Speaker 1: home defense, whatever it happens to be. Take a look. 282 00:16:04,840 --> 00:16:08,080 Speaker 1: Go to their website Henry USA dot com. You'll get 283 00:16:08,200 --> 00:16:11,600 Speaker 1: a free copy of their catalog and decals and you'll 284 00:16:11,720 --> 00:16:15,440 Speaker 1: learn where the you is closest and it's great. Henry 285 00:16:15,520 --> 00:16:19,200 Speaker 1: USA dot com. He had a free catalog, free d decals. 286 00:16:19,280 --> 00:16:21,480 Speaker 1: Learn a lot more about this great American company. You're 287 00:16:21,480 --> 00:16:23,800 Speaker 1: gonna love him all right twenty five now to the 288 00:16:23,840 --> 00:16:25,880 Speaker 1: top of the hour, eight hundred nine f one seawn 289 00:16:26,120 --> 00:16:28,000 Speaker 1: if you want to be a part of the program. So, 290 00:16:28,560 --> 00:16:33,600 Speaker 1: I've watched Joe Rogan's podcast. He's an to me. He's 291 00:16:33,600 --> 00:16:38,200 Speaker 1: an interesting guy. I love his we have a shared passion. 292 00:16:38,280 --> 00:16:40,720 Speaker 1: I don't know him, never met him. I have no 293 00:16:40,800 --> 00:16:42,800 Speaker 1: idea if he even knows who I am. It doesn't matter. 294 00:16:43,600 --> 00:16:46,200 Speaker 1: M He does long form interviews, and he asked very 295 00:16:46,280 --> 00:16:49,360 Speaker 1: probing questions and you know, believe it or not, Linda, 296 00:16:49,400 --> 00:16:52,160 Speaker 1: you're gonna laugh at this. He was interviewing Miley Cyrus 297 00:16:52,240 --> 00:16:55,800 Speaker 1: and I was fascinated by the interview. It's not something 298 00:16:55,880 --> 00:16:58,840 Speaker 1: I normally would be interested in. But I know her dad, 299 00:16:58,880 --> 00:17:02,960 Speaker 1: Billy Ray Cyrus. I'm fond to him. I've met her sister, 300 00:17:03,200 --> 00:17:06,960 Speaker 1: I met her mom. They're just nice people. It's just 301 00:17:07,280 --> 00:17:10,040 Speaker 1: it's very honest. I don't for example, I don't agree 302 00:17:10,040 --> 00:17:13,959 Speaker 1: with him on I know he's he's really into marijuana legalization. 303 00:17:14,040 --> 00:17:16,840 Speaker 1: For example. I think Elam must just lit up a 304 00:17:16,960 --> 00:17:20,400 Speaker 1: joint right on a show. It's hilarious the way people 305 00:17:20,440 --> 00:17:22,720 Speaker 1: are with this. I'm just very anti drug. I don't 306 00:17:22,800 --> 00:17:25,240 Speaker 1: like any of this stuff. But anyway, that's a side note. 307 00:17:25,880 --> 00:17:30,359 Speaker 1: So when he announced that he had COVID, I believe 308 00:17:30,400 --> 00:17:32,960 Speaker 1: it came out in the day a day or two 309 00:17:33,080 --> 00:17:37,199 Speaker 1: later that he was getting monoclonal antibodies. Correct me if 310 00:17:37,200 --> 00:17:41,479 Speaker 1: I'm wrong, HCQ and the human ivermectin. Okay, that's all 311 00:17:41,560 --> 00:17:43,320 Speaker 1: his choice. I'm not getting into the medicine of it. 312 00:17:43,480 --> 00:17:47,760 Speaker 1: This is. I'm glad Joe Rogan is alive and survived 313 00:17:47,960 --> 00:17:50,480 Speaker 1: and is doing well. And I'd say that about any 314 00:17:50,600 --> 00:17:53,680 Speaker 1: liberal as well. This is not political for me. Even 315 00:17:53,760 --> 00:17:56,480 Speaker 1: if you're a liberal that hates me and wants wants 316 00:17:56,560 --> 00:17:59,640 Speaker 1: to get back to living a normal life and try 317 00:17:59,680 --> 00:18:01,880 Speaker 1: and get me fired, I still want you to live. 318 00:18:02,080 --> 00:18:06,280 Speaker 1: I believe in life. I believe in freedom. Anyway, So, uh, 319 00:18:06,520 --> 00:18:10,800 Speaker 1: CNN has this, I guess medical contributor doctor Sanjay Gupta 320 00:18:11,280 --> 00:18:16,160 Speaker 1: Rogan is pissed off because they accused him on fake 321 00:18:16,280 --> 00:18:20,000 Speaker 1: news CNN apparently of using the animal version of the 322 00:18:20,119 --> 00:18:22,920 Speaker 1: drug and not the human version of the drug. Listen 323 00:18:22,960 --> 00:18:25,440 Speaker 1: to this exchange. Do you think I want it's a 324 00:18:25,520 --> 00:18:30,840 Speaker 1: problem that your news, Well, I don't. I don't, dude, 325 00:18:30,960 --> 00:18:32,920 Speaker 1: what did they say? They lie when they say I 326 00:18:33,000 --> 00:18:36,200 Speaker 1: was taking horse. First of all, it was prescribed to 327 00:18:36,280 --> 00:18:41,639 Speaker 1: me by a doctor of other medication. If you got 328 00:18:41,720 --> 00:18:44,560 Speaker 1: a human pill, because there were people that were taking 329 00:18:44,680 --> 00:18:48,439 Speaker 1: it the veterinary medication, and you're not obviously you got 330 00:18:48,480 --> 00:18:50,359 Speaker 1: it from a doctor, so that it shouldn't be called that. 331 00:18:50,640 --> 00:18:54,919 Speaker 1: Ivermect them can be a very effective medication for parasitic disease. 332 00:18:55,000 --> 00:18:56,840 Speaker 1: And as you say, it's probably you know, I think 333 00:18:56,880 --> 00:18:59,200 Speaker 1: what the quarter billion people have taken it around the 334 00:18:59,280 --> 00:19:02,960 Speaker 1: world that way more so, way more killions of people 335 00:19:03,000 --> 00:19:04,440 Speaker 1: have taken it. Okay, can I just come back to 336 00:19:04,520 --> 00:19:07,720 Speaker 1: the one I want to talk about it you have 337 00:19:08,040 --> 00:19:10,359 Speaker 1: before we get to that. Does it bother you that 338 00:19:10,480 --> 00:19:13,920 Speaker 1: the news network you work for out and out lied, 339 00:19:14,320 --> 00:19:18,879 Speaker 1: was outright lied about me taking horse de Warmer? They 340 00:19:18,880 --> 00:19:20,520 Speaker 1: shouldn't have said that. Why did they do that? I 341 00:19:20,600 --> 00:19:23,240 Speaker 1: don't know. You didn't ask. I didn't think that you're 342 00:19:23,320 --> 00:19:25,560 Speaker 1: the guy over there. I didn't ask. I should have 343 00:19:25,560 --> 00:19:29,479 Speaker 1: asked before they did such Glee no show I watched, 344 00:19:29,840 --> 00:19:32,320 Speaker 1: Oh man, did you? I mean that was? That was 345 00:19:33,400 --> 00:19:36,000 Speaker 1: the thing of beauty? Honestly, I think in your next 346 00:19:36,080 --> 00:19:38,800 Speaker 1: life the podcast that you should do is something like this. 347 00:19:39,000 --> 00:19:42,160 Speaker 1: I first of all, you love confrontation. I love confrontation. 348 00:19:42,680 --> 00:19:46,720 Speaker 1: It's amazing and there's nothing better than being right and 349 00:19:46,880 --> 00:19:50,159 Speaker 1: being able to have an argument and saying okay, I 350 00:19:50,280 --> 00:19:52,520 Speaker 1: don't know, I have no idea. The best part was 351 00:19:52,560 --> 00:19:56,520 Speaker 1: his response. He's like, why aren't you the medical Like 352 00:19:56,640 --> 00:19:59,399 Speaker 1: doesn't it bother you? And he's like, uh, I'm like 353 00:19:59,520 --> 00:20:01,080 Speaker 1: the thing of all right, I want to play two 354 00:20:01,119 --> 00:20:02,959 Speaker 1: other cuts of this, because this is this was very 355 00:20:03,000 --> 00:20:06,160 Speaker 1: interesting too. Now we have talked a lot about the NIH, 356 00:20:06,320 --> 00:20:11,040 Speaker 1: and in fact, the NIH funding the Wuhan virology lab 357 00:20:11,440 --> 00:20:14,159 Speaker 1: where they knew gain a function research happened, where they 358 00:20:14,200 --> 00:20:18,000 Speaker 1: knew Corona viruses were being studied, and why one American 359 00:20:18,080 --> 00:20:22,080 Speaker 1: taxpayer dollar went there is an absolute disgrace, just like 360 00:20:22,320 --> 00:20:27,360 Speaker 1: Joe Biden now is planning to exempt Taliban era Afghans 361 00:20:28,280 --> 00:20:32,160 Speaker 1: and allow them into the country. How stupid is this, man? 362 00:20:32,400 --> 00:20:34,399 Speaker 1: I mean, there's there's things that you know you scratch 363 00:20:34,440 --> 00:20:37,119 Speaker 1: your head and you say to yourself, you can't be 364 00:20:37,440 --> 00:20:41,719 Speaker 1: that stupid. Now we know that gain of function research. 365 00:20:41,880 --> 00:20:45,800 Speaker 1: July thirty first, twenty twenty, the day that Donald Trump 366 00:20:45,880 --> 00:20:50,160 Speaker 1: put in his hysterical xenophobic racist travel band, ten days 367 00:20:50,200 --> 00:20:53,840 Speaker 1: after the first identified case of Corona in America. Well, 368 00:20:53,880 --> 00:20:56,440 Speaker 1: it so happens that Dr Fauci and his emails, we 369 00:20:56,640 --> 00:21:00,639 Speaker 1: now learned, got an email saying, yeah, it looks like 370 00:21:00,720 --> 00:21:03,160 Speaker 1: one of the genomes. As you break down, the sequence 371 00:21:03,200 --> 00:21:08,480 Speaker 1: of the coronavirus was manipulated in a lab. January thirty first, 372 00:21:08,680 --> 00:21:12,440 Speaker 1: the very beginning, ten days after the first identified case 373 00:21:12,520 --> 00:21:15,879 Speaker 1: in the US, and then we start. Then then you 374 00:21:15,960 --> 00:21:19,479 Speaker 1: see a flurry of activity, and that is doctor Fauci 375 00:21:19,600 --> 00:21:21,639 Speaker 1: with other NIH officials. Do you think our money went 376 00:21:21,720 --> 00:21:23,760 Speaker 1: to go fund the gain of research? Blah blah blah blah. 377 00:21:24,000 --> 00:21:26,520 Speaker 1: And then he lied to Rampaul. As far as I'm concerned, 378 00:21:26,600 --> 00:21:28,800 Speaker 1: Rampaul is correct. I believe he was lied to as 379 00:21:28,840 --> 00:21:32,000 Speaker 1: he does. And if any trust me, if it was 380 00:21:32,000 --> 00:21:35,320 Speaker 1: any Trump doctor, they'd be in jail by now. There's 381 00:21:35,320 --> 00:21:40,760 Speaker 1: always that double standard. Um. Anyway, So listening to Sandra 382 00:21:40,920 --> 00:21:45,600 Speaker 1: Gupta talk about we may never know the origins of coronavirus, 383 00:21:45,680 --> 00:21:48,159 Speaker 1: that's a lie. But the bigger question is, and this 384 00:21:48,280 --> 00:21:52,760 Speaker 1: has cut thirteen discussing NIH funding and gain of function research? Listen, 385 00:21:53,200 --> 00:21:57,359 Speaker 1: how many how much evidence did they delete in twenty nineteen, 386 00:21:58,000 --> 00:22:00,320 Speaker 1: some stunning amount. Well, the entire day at a base 387 00:22:00,400 --> 00:22:03,600 Speaker 1: went down exactly. Now, I said what I said to him, 388 00:22:03,600 --> 00:22:05,800 Speaker 1: you were part of the WHO investigation. Did you see 389 00:22:05,800 --> 00:22:08,040 Speaker 1: the database now it's been over a year later, he 390 00:22:08,160 --> 00:22:10,280 Speaker 1: said no. When I said, is that not of concern 391 00:22:10,359 --> 00:22:12,040 Speaker 1: to you? He said, look, he goes it was a 392 00:22:12,119 --> 00:22:15,159 Speaker 1: public database. They were worried about hacking, and so that's 393 00:22:15,200 --> 00:22:17,080 Speaker 1: why they took it down. I said, if it was 394 00:22:17,119 --> 00:22:19,280 Speaker 1: a public database, why were they worried about hacking? You know, 395 00:22:19,320 --> 00:22:20,920 Speaker 1: what were they or were they trying to hide? You know? 396 00:22:21,080 --> 00:22:23,600 Speaker 1: So I don't I don't know, Joe, what to make 397 00:22:23,640 --> 00:22:27,480 Speaker 1: of it. It's there's clearly as you said earlier, I 398 00:22:27,480 --> 00:22:30,320 Speaker 1: think he said where there's smoke, there's fire, probably, But 399 00:22:30,480 --> 00:22:33,399 Speaker 1: can I say conclusively no, And and part of me 400 00:22:33,480 --> 00:22:35,919 Speaker 1: things we may never know. We don't have a system 401 00:22:35,960 --> 00:22:38,440 Speaker 1: in place at a at a sort of global level 402 00:22:38,800 --> 00:22:42,400 Speaker 1: to mandate that these things actually come to light. Yeah, 403 00:22:42,600 --> 00:22:45,320 Speaker 1: we don't treat this like we treat Department of Defense issues. 404 00:22:45,320 --> 00:22:48,000 Speaker 1: We don't treat you know, we should be thinking about 405 00:22:48,040 --> 00:22:50,679 Speaker 1: this more from a defense standpoint rather than a public 406 00:22:50,760 --> 00:22:54,040 Speaker 1: health preventive standpoint. That's interesting. Yeah. Yeah, But if the 407 00:22:54,200 --> 00:22:58,800 Speaker 1: NIH was was giving funding to Eco Health Alliance, and 408 00:22:58,880 --> 00:23:02,879 Speaker 1: Eco Health Alliance was funding that kind of research, I 409 00:23:02,960 --> 00:23:05,760 Speaker 1: think that the ALCHI is not being honest about that. 410 00:23:06,040 --> 00:23:08,800 Speaker 1: I think I think the NIH is clearly funding Eco 411 00:23:08,840 --> 00:23:11,119 Speaker 1: Health Alliance, and Eco Health Alliance is clearly giving grants 412 00:23:11,160 --> 00:23:13,760 Speaker 1: to Hunt Institute of Virology. Here's how they answer the 413 00:23:13,840 --> 00:23:16,639 Speaker 1: question when I ask them, including Francis Collins, who's the 414 00:23:16,680 --> 00:23:20,520 Speaker 1: head of the nih they define gain a function research 415 00:23:20,640 --> 00:23:25,240 Speaker 1: is this, you have a known bad contagious pathogen and 416 00:23:25,400 --> 00:23:28,480 Speaker 1: you're going to essentially do it, you know, use the 417 00:23:28,520 --> 00:23:32,119 Speaker 1: backbone of another known bad pathogen and you're going to 418 00:23:32,160 --> 00:23:35,840 Speaker 1: splice them together. Essentially, you're taking one thing that you 419 00:23:35,960 --> 00:23:38,520 Speaker 1: know to be bad and contagious and splicing it with 420 00:23:38,640 --> 00:23:41,159 Speaker 1: something else that you know to be bad. That is, 421 00:23:41,440 --> 00:23:44,000 Speaker 1: you're expecting this to be worse than what you started with. 422 00:23:44,680 --> 00:23:47,000 Speaker 1: If you're taking a novel virus and you don't know 423 00:23:47,400 --> 00:23:49,720 Speaker 1: how contagious this is, and you're basically saying, look, I 424 00:23:49,800 --> 00:23:51,960 Speaker 1: want to I want to isolate the spike protein on 425 00:23:52,040 --> 00:23:53,960 Speaker 1: this new virus. I'm gonna put it on the backbone 426 00:23:54,000 --> 00:23:56,399 Speaker 1: of something I do know and make it contagious to humans. 427 00:23:56,640 --> 00:23:59,280 Speaker 1: We'll see how it behaves at that point. Does this 428 00:23:59,400 --> 00:24:02,040 Speaker 1: actually or to behave as something super contagious or not? 429 00:24:03,400 --> 00:24:06,600 Speaker 1: The possibility is that it could, but they're not sure. 430 00:24:07,080 --> 00:24:09,320 Speaker 1: So this is nuanced, and you know a lot of 431 00:24:09,359 --> 00:24:11,959 Speaker 1: people have taken issue with and including scientists who work 432 00:24:12,000 --> 00:24:14,320 Speaker 1: in the field. But the strict definition is that you 433 00:24:14,480 --> 00:24:16,800 Speaker 1: got to know. For gain a function research, you know 434 00:24:17,160 --> 00:24:18,680 Speaker 1: that it's going to lead to gain a function so 435 00:24:18,760 --> 00:24:22,240 Speaker 1: maybe the problem is using the term gain a function. Yeah, 436 00:24:22,840 --> 00:24:28,280 Speaker 1: if we instead abandon any sort of nomenclature that might 437 00:24:28,359 --> 00:24:33,280 Speaker 1: be problematic and say, were they doing experiments to make 438 00:24:33,440 --> 00:24:37,240 Speaker 1: viruses more contagious to people? The answer of b s Yeah, 439 00:24:37,280 --> 00:24:39,879 Speaker 1: were they doing experiments that could lead to viruses being 440 00:24:39,920 --> 00:24:43,520 Speaker 1: more Yes, yes, I think that that's right. And remember 441 00:24:43,720 --> 00:24:47,080 Speaker 1: it wasn't that long ago, in twenty twelve that doctor 442 00:24:47,160 --> 00:24:51,640 Speaker 1: Fauci supported gain a function publicly, even stating that even 443 00:24:51,680 --> 00:24:55,639 Speaker 1: if it resulted in a worldwide pandemic, actually said this, 444 00:24:56,520 --> 00:25:00,119 Speaker 1: he still supports gain a function research. I mean, how 445 00:25:00,200 --> 00:25:03,000 Speaker 1: this guy still has a job as unbelievable. And Linda, 446 00:25:03,440 --> 00:25:06,200 Speaker 1: you know what, we was so fair to doctor Fauci. 447 00:25:06,520 --> 00:25:10,719 Speaker 1: I'd been over backwards that I tried to factor in that. Okay, 448 00:25:10,960 --> 00:25:13,240 Speaker 1: they didn't know what they were dealing with. Nobody knew 449 00:25:13,280 --> 00:25:16,159 Speaker 1: at the time. Now we know these things, you know. 450 00:25:16,520 --> 00:25:20,720 Speaker 1: The The Intercept released all of these documents, nine hundred 451 00:25:20,800 --> 00:25:24,320 Speaker 1: of them on Fauci. His emails have been released. The 452 00:25:24,520 --> 00:25:28,639 Speaker 1: frenzied back and forth about funding the virology lab in 453 00:25:28,800 --> 00:25:32,800 Speaker 1: Wuhan and possibly gain a function that led to coronavirus 454 00:25:33,119 --> 00:25:37,200 Speaker 1: COVID nineteen you know, and then him just lying outright 455 00:25:37,280 --> 00:25:41,200 Speaker 1: about it. But there's two points that are really critical 456 00:25:41,240 --> 00:25:43,840 Speaker 1: to what you're saying. The first one is he asked 457 00:25:43,880 --> 00:25:45,520 Speaker 1: to come on the show. He wanted to come on 458 00:25:45,600 --> 00:25:47,119 Speaker 1: the show. He said that he wanted to share the 459 00:25:47,160 --> 00:25:50,080 Speaker 1: information that it wasn't a political issue, it wasn't a 460 00:25:50,160 --> 00:25:51,840 Speaker 1: partisan issue, it was a human issue, and he needs 461 00:25:51,880 --> 00:25:54,520 Speaker 1: to come on. Okay, fine. The interesting part about it 462 00:25:54,680 --> 00:25:57,359 Speaker 1: is that Francis Collins and Anthony Fauci were lying from 463 00:25:57,400 --> 00:25:59,560 Speaker 1: the beginning because the fact that they worked through the 464 00:25:59,600 --> 00:26:02,159 Speaker 1: Eco awfulliance. We saw on the nine hundred documents very 465 00:26:02,240 --> 00:26:05,159 Speaker 1: clearly that they had the pathogens, that they worked it 466 00:26:05,240 --> 00:26:08,479 Speaker 1: into humanized mice, that they were starting the virus from 467 00:26:08,480 --> 00:26:12,040 Speaker 1: which it was constructed to that they could demonstrate more 468 00:26:12,119 --> 00:26:14,920 Speaker 1: path intogenicity. This was their goal from the beginning. So 469 00:26:15,000 --> 00:26:17,359 Speaker 1: they lied from the beginning. So they were being untruthful, 470 00:26:17,359 --> 00:26:19,359 Speaker 1: and the documents clearly show that the problem is that 471 00:26:19,440 --> 00:26:21,919 Speaker 1: most people have no idea that nine hundred documents were 472 00:26:21,960 --> 00:26:24,320 Speaker 1: even released that showed that they were untruthful, which clearly 473 00:26:24,359 --> 00:26:27,159 Speaker 1: shows also that doctor Rampaul was correct. Putting all of 474 00:26:27,240 --> 00:26:30,359 Speaker 1: that aside, Collins isn't even there anymore. Collins was the 475 00:26:30,440 --> 00:26:33,960 Speaker 1: one that said that SARS COVID nineteen was completely transmissible 476 00:26:34,000 --> 00:26:36,240 Speaker 1: in the air by a ten percent ratio. It turned 477 00:26:36,280 --> 00:26:38,880 Speaker 1: out it was point zero one. And then he goes 478 00:26:38,920 --> 00:26:40,800 Speaker 1: on to Fox News and says, yeah, I'm sorry about that. 479 00:26:40,880 --> 00:26:43,520 Speaker 1: That was just a misunderstanding. I'm like, you have people 480 00:26:43,560 --> 00:26:46,520 Speaker 1: wearing masks and open air telling them that's transmissible by 481 00:26:46,560 --> 00:26:49,479 Speaker 1: ten percent, and you're totally lying. It's wrong. So these 482 00:26:49,520 --> 00:26:51,080 Speaker 1: are the people that are the head of the NIH, 483 00:26:51,480 --> 00:26:54,800 Speaker 1: you know, the NAI. Look and then all they do 484 00:26:54,960 --> 00:26:56,879 Speaker 1: is they take down one set of guidelines on the 485 00:26:56,960 --> 00:26:59,879 Speaker 1: CDC website. Then they put up a whole different, contra 486 00:27:00,119 --> 00:27:04,240 Speaker 1: dictory set of guidelines, and you know, vaccine hesitancy. I 487 00:27:04,320 --> 00:27:06,320 Speaker 1: didn't finish my thought earlier when I was talking about 488 00:27:06,400 --> 00:27:11,440 Speaker 1: Jimmy Carter and the visit by Joe and Jill Biden, 489 00:27:11,920 --> 00:27:17,000 Speaker 1: fully vaccinated, socially distant masks on outside, go into the 490 00:27:17,080 --> 00:27:21,600 Speaker 1: Carter's home ninety six ninety three, respectively. It's so ridiculous 491 00:27:21,640 --> 00:27:23,440 Speaker 1: to take the mask off. They get right on top 492 00:27:23,520 --> 00:27:26,159 Speaker 1: of the old people. You know, it looks kind like 493 00:27:26,280 --> 00:27:29,040 Speaker 1: why you wearing the mask outside? Just like this idiot 494 00:27:29,160 --> 00:27:32,600 Speaker 1: governor in New Jersey. He's not wearing a mask. Pelosi, 495 00:27:32,600 --> 00:27:36,560 Speaker 1: he's not wearing a mask as you're getting her hair done. Um. Yeah, 496 00:27:36,640 --> 00:27:39,800 Speaker 1: that one congresswoman saying, I only wear this stupid thing 497 00:27:39,880 --> 00:27:45,080 Speaker 1: for show. Yeah, himself AOC. They're all just wearing the 498 00:27:45,160 --> 00:27:47,680 Speaker 1: mask for the pictures. And look at Newsom. Newsom is 499 00:27:47,720 --> 00:27:49,800 Speaker 1: the most egregious of all the guys out to dinner. 500 00:27:49,880 --> 00:27:52,520 Speaker 1: His kids are in school. But people in California. You 501 00:27:52,760 --> 00:27:54,919 Speaker 1: got all these people in the streets. They're taking massive 502 00:27:54,960 --> 00:27:56,879 Speaker 1: dumps in the streets, in the middle of doorways. Your 503 00:27:56,960 --> 00:27:59,680 Speaker 1: kids can't go to school, but the ones that they're 504 00:27:59,680 --> 00:28:02,119 Speaker 1: in the school, they're fine. And you can't go to 505 00:28:02,240 --> 00:28:04,119 Speaker 1: Walgreens like you were talking about before with the San 506 00:28:04,200 --> 00:28:07,720 Speaker 1: Francisco at the Walgreens. I mean, it's insanity, it's it's nuts. Yeah. 507 00:28:07,760 --> 00:28:10,600 Speaker 1: By the way, this in the Walgreens, they're closing six 508 00:28:10,680 --> 00:28:13,240 Speaker 1: of them because if you steal less than a thousand 509 00:28:13,280 --> 00:28:16,119 Speaker 1: dollars worth a crap, it's fine. They won't arrest you, 510 00:28:16,359 --> 00:28:18,119 Speaker 1: they won't charge you. You heard what happened in New 511 00:28:18,200 --> 00:28:21,520 Speaker 1: York today, right I did. It's terrible. They're vandalizing all that. 512 00:28:21,640 --> 00:28:24,320 Speaker 1: People can't keep their businesses. You want to vaccine people 513 00:28:24,359 --> 00:28:26,120 Speaker 1: who don't want to be vaxed. You want to create 514 00:28:26,160 --> 00:28:28,800 Speaker 1: a federal police department because our police don't want to 515 00:28:28,800 --> 00:28:31,600 Speaker 1: get vaxed. Because the information, like doctor Tyson gave out today, 516 00:28:31,920 --> 00:28:33,760 Speaker 1: and we know there's other options, why can't we do 517 00:28:33,880 --> 00:28:36,760 Speaker 1: things like other countries. You can get tested, you can 518 00:28:36,880 --> 00:28:40,120 Speaker 1: have anybodies from having COVID, you can try something with 519 00:28:40,200 --> 00:28:42,040 Speaker 1: your doctor. You can do regenera, and you can do 520 00:28:42,160 --> 00:28:48,080 Speaker 1: monoclonal antibodies. Like why we're not telling people what to do? No, 521 00:28:48,920 --> 00:28:51,240 Speaker 1: And the reason we're trying to inform you is God 522 00:28:51,320 --> 00:28:55,800 Speaker 1: forbid detest positive. Right, Okay, I've had in the middle 523 00:28:55,840 --> 00:28:59,640 Speaker 1: of this show today, I got a text about somebody 524 00:29:00,040 --> 00:29:03,360 Speaker 1: who happens to have a very compromised immune system because 525 00:29:03,440 --> 00:29:07,880 Speaker 1: a cancer. And you know, immediately, you know, I go 526 00:29:08,040 --> 00:29:10,760 Speaker 1: into action and I say, well, you might want to 527 00:29:11,200 --> 00:29:13,479 Speaker 1: talk to you doctor about this, this, this, this, I mean, 528 00:29:13,520 --> 00:29:15,880 Speaker 1: I should make one generalized note, but you have to 529 00:29:15,960 --> 00:29:19,120 Speaker 1: make it personal because it's an individual case. I didn't 530 00:29:19,160 --> 00:29:22,320 Speaker 1: tell them what to do. I gave them the information 531 00:29:22,520 --> 00:29:26,040 Speaker 1: so that they can ask smart questions of their doctor 532 00:29:26,600 --> 00:29:28,560 Speaker 1: and get I get the crap kicked out of me 533 00:29:28,640 --> 00:29:31,320 Speaker 1: for doing that. You need to tell people. I'm like, no, 534 00:29:31,480 --> 00:29:33,440 Speaker 1: I don't need to tell people I didn't go to 535 00:29:33,560 --> 00:29:37,040 Speaker 1: medical school. I mean, how are irresponsible would that be 536 00:29:37,080 --> 00:29:38,960 Speaker 1: if I start telling people what the hell they ought 537 00:29:39,000 --> 00:29:41,800 Speaker 1: to be doing with their bodies, and to your credit 538 00:29:41,800 --> 00:29:44,080 Speaker 1: shown you haven't. To your credit, You've asked a lot 539 00:29:44,120 --> 00:29:47,400 Speaker 1: of questions. You've interviewed, how many doctors, You've had how 540 00:29:47,480 --> 00:29:50,440 Speaker 1: many people on about this? And you're asking the questions. 541 00:29:50,520 --> 00:29:54,000 Speaker 1: I don't know when it became wrong to ask questions. No, no, no, 542 00:29:54,120 --> 00:29:57,000 Speaker 1: that's not allowed anymore. It's really it really frightens me. 543 00:29:58,360 --> 00:30:01,320 Speaker 1: I just thought that Joe Rogan and a very like 544 00:30:01,480 --> 00:30:03,840 Speaker 1: he used a scalpel. He just tore gooped off. Well, 545 00:30:03,880 --> 00:30:05,320 Speaker 1: can I tell you my favorite part of the whole 546 00:30:05,360 --> 00:30:07,320 Speaker 1: interview when he called him dude, because you know I 547 00:30:07,360 --> 00:30:09,240 Speaker 1: say do it all the time. He was like dude. Seriously. 548 00:30:09,480 --> 00:30:11,480 Speaker 1: I was like, yeah, your six year old son, dude. 549 00:30:11,520 --> 00:30:13,560 Speaker 1: I'm like, dude, come on, dude, man. It was the 550 00:30:13,600 --> 00:30:16,360 Speaker 1: great best thing ever. Can't wait till he repeats dude 551 00:30:16,400 --> 00:30:18,400 Speaker 1: and some of the other one at home. First of all, 552 00:30:18,600 --> 00:30:20,840 Speaker 1: I don't use those words on Mary Poppins at home 553 00:30:20,960 --> 00:30:22,600 Speaker 1: and I keep it paid. There's no way you can 554 00:30:22,680 --> 00:30:28,040 Speaker 1: turn no. Yes, no, yes, you're incorrect. Just like we 555 00:30:28,080 --> 00:30:29,960 Speaker 1: don't eat McDonald's at home, just like we don't say 556 00:30:30,000 --> 00:30:32,520 Speaker 1: bad words at home. Everything. I'll tell you what. We'll 557 00:30:32,560 --> 00:30:35,400 Speaker 1: take a quick break. We'll come back. Man. We got 558 00:30:35,440 --> 00:30:37,000 Speaker 1: a great Hannity tonight. I'll tell you about that in 559 00:30:37,040 --> 00:30:40,880 Speaker 1: a minute. All right, we are loaded up tonight, I 560 00:30:41,000 --> 00:30:45,240 Speaker 1: mean loaded up tonight. Scott Brown, Jason Chaffitz. We're gonna 561 00:30:45,280 --> 00:30:48,160 Speaker 1: look at the disaster that is the supply chain and 562 00:30:48,280 --> 00:30:51,840 Speaker 1: the Biden economy. We'll check in with Griff Jenkins on 563 00:30:51,920 --> 00:30:54,360 Speaker 1: the disaster on the border. Then we got Greg Jarrett 564 00:30:54,440 --> 00:30:59,120 Speaker 1: Louie Gomert. He's gonna update us on the court martialing 565 00:31:00,000 --> 00:31:04,160 Speaker 1: of Lieutenant Colonel Seller and give us an update on 566 00:31:04,240 --> 00:31:07,320 Speaker 1: that situation. Leo two point zero, Terrell, Dave Ruben, nine 567 00:31:07,400 --> 00:31:11,040 Speaker 1: Eastern Say EDVR Hannity on the Fox News Channel. All right, 568 00:31:11,080 --> 00:31:13,400 Speaker 1: that's all the time we have for today, say EDVR. 569 00:31:13,480 --> 00:31:15,880 Speaker 1: We'll see you tonight back here tomorrow. Thank you for 570 00:31:16,000 --> 00:31:19,600 Speaker 1: being with us. We never forget you make this show possible, 571 00:31:19,760 --> 00:31:22,920 Speaker 1: and we are very humbled and grateful. See you tonight 572 00:31:23,000 --> 00:31:23,760 Speaker 1: back here tomorrow