1 00:00:00,680 --> 00:00:03,080 Speaker 1: An hour two Sean Hannity's show. Thanks for being with 2 00:00:03,160 --> 00:00:05,800 Speaker 1: us eight hundred and nine four one Sean, if you 3 00:00:05,880 --> 00:00:09,480 Speaker 1: want to be a part of the program. Sad news 4 00:00:09,520 --> 00:00:13,560 Speaker 1: for Senator Ram Paul's office. It turns out that the 5 00:00:13,640 --> 00:00:19,640 Speaker 1: office of Republican Kentucky Senator Paul confirming late yesterday that 6 00:00:19,720 --> 00:00:23,680 Speaker 1: a member of Senator Paul's staff was brutally attacked on 7 00:00:23,720 --> 00:00:27,480 Speaker 1: the streets of Washington in DC over the weekend. Apparently 8 00:00:27,640 --> 00:00:30,800 Speaker 1: the member of his staff was brutally attacked in broad daylight. 9 00:00:31,440 --> 00:00:33,640 Speaker 1: Paul said in a statement, I asked you to join 10 00:00:33,760 --> 00:00:36,800 Speaker 1: Kelly and me in praying for a speedy and complete 11 00:00:36,800 --> 00:00:40,720 Speaker 1: recovery and thanking the first responders, the hospital staff, the 12 00:00:40,760 --> 00:00:44,680 Speaker 1: police for their diligent actions. We are relieved to hear 13 00:00:44,800 --> 00:00:47,760 Speaker 1: that the suspect has been arrested. At this time, we 14 00:00:47,800 --> 00:00:50,960 Speaker 1: would ask for privacy so everyone can focus on healing 15 00:00:51,040 --> 00:00:55,720 Speaker 1: and recovery. And Paul's office did not confirm the identity 16 00:00:55,760 --> 00:00:58,880 Speaker 1: of the staff member, and frankly, it's nobody's business in 17 00:00:58,960 --> 00:01:01,840 Speaker 1: my opinion, but welcome back to the program, Senator around 18 00:01:01,880 --> 00:01:06,600 Speaker 1: Paul Center my sense serious condolences. I'm so sorry to 19 00:01:06,640 --> 00:01:10,360 Speaker 1: hear this um. Violence is out of control all around 20 00:01:10,400 --> 00:01:14,760 Speaker 1: the country. Defund dismantle nobil is not working, is it? 21 00:01:15,280 --> 00:01:17,679 Speaker 1: You know, without question, you know we've got a violence 22 00:01:17,720 --> 00:01:20,760 Speaker 1: problem in all of our major cities. M We're just 23 00:01:20,880 --> 00:01:26,200 Speaker 1: particularly happy and glad that he's recovering, that he's a 24 00:01:26,200 --> 00:01:28,240 Speaker 1: strong young man and I think he's going to be fine. 25 00:01:28,680 --> 00:01:31,880 Speaker 1: But this was a significant attack. It could have been 26 00:01:31,920 --> 00:01:35,319 Speaker 1: life threatening, and we're we're glad that he's getting better, 27 00:01:35,360 --> 00:01:37,039 Speaker 1: but he's been through a lot and he's still got 28 00:01:37,040 --> 00:01:41,120 Speaker 1: a lot of recovery to undergo, and we continue to 29 00:01:41,640 --> 00:01:45,520 Speaker 1: hope and pray for his complete recovery. I mean, this 30 00:01:45,560 --> 00:01:48,440 Speaker 1: attack was brutal. I mean what I read about it 31 00:01:48,720 --> 00:01:51,640 Speaker 1: MS stabbed as I understand it in the head and 32 00:01:51,680 --> 00:01:55,080 Speaker 1: the chest. I mean, that's that's that's scary. You're a doctor, 33 00:01:55,120 --> 00:01:57,400 Speaker 1: you know how dangerous that is. Anyway, I want you 34 00:01:57,440 --> 00:01:59,520 Speaker 1: to know our prayers are with your staff member, you, 35 00:02:00,160 --> 00:02:03,040 Speaker 1: your entire team there, and again we wished the speedy 36 00:02:03,080 --> 00:02:08,560 Speaker 1: recovery for this individual. Yeah. Absolutely. And the reports we 37 00:02:08,600 --> 00:02:10,960 Speaker 1: have from the police initially and that have been published 38 00:02:10,960 --> 00:02:13,200 Speaker 1: are that this person has spent twelve years in prison 39 00:02:13,760 --> 00:02:16,360 Speaker 1: for another violent crime and had been out one day. 40 00:02:17,200 --> 00:02:19,839 Speaker 1: And so there really is the thought, and I think 41 00:02:19,880 --> 00:02:23,799 Speaker 1: my general opinion on crime in generals that we had 42 00:02:23,880 --> 00:02:28,440 Speaker 1: maybe overincarcerated some people for non violent crimes, but we've 43 00:02:28,600 --> 00:02:31,320 Speaker 1: under incarcerated people for violent chrome. The people who are 44 00:02:31,400 --> 00:02:33,960 Speaker 1: violent among us, the people who commit acts like this 45 00:02:34,160 --> 00:02:36,800 Speaker 1: need to be separated, if not a long time forever, 46 00:02:37,440 --> 00:02:39,280 Speaker 1: you know, they need to be separated from the rest 47 00:02:39,320 --> 00:02:41,359 Speaker 1: of us. And you know the fact that this could 48 00:02:41,360 --> 00:02:44,680 Speaker 1: happen in broad daylight in DC, in an area that 49 00:02:44,880 --> 00:02:49,760 Speaker 1: has been gentrified with nice restaurants and nice stores, worries 50 00:02:49,840 --> 00:02:52,400 Speaker 1: us all. You know, we all are living in the city. 51 00:02:52,720 --> 00:02:56,000 Speaker 1: You know, we're here many days, we're all outside, and 52 00:02:56,639 --> 00:02:59,119 Speaker 1: for this to happen in broad daylight should concern every 53 00:02:59,120 --> 00:03:01,880 Speaker 1: one of us. Let me let me go to some 54 00:03:01,960 --> 00:03:05,640 Speaker 1: of the recent hearings. You have been outstanding as it 55 00:03:05,680 --> 00:03:09,000 Speaker 1: relates to all things COVID, and for a long time 56 00:03:09,040 --> 00:03:11,760 Speaker 1: you were you were pretty much out there alone in 57 00:03:11,880 --> 00:03:19,320 Speaker 1: terms of politicians fiercely, bravely, rightly questioning doctor fauci Uh 58 00:03:19,919 --> 00:03:22,800 Speaker 1: and a lot of the efforts that he was involved 59 00:03:22,919 --> 00:03:25,480 Speaker 1: with the NIH and the origins of COVID. That's part 60 00:03:25,480 --> 00:03:28,120 Speaker 1: of it. His support in twenty twelve of gain of 61 00:03:28,160 --> 00:03:31,720 Speaker 1: function research, even if it would result in a worldwide pandemic, 62 00:03:31,720 --> 00:03:37,000 Speaker 1: which is insane. Um. You recently confronted the Maderna CEO 63 00:03:37,400 --> 00:03:41,360 Speaker 1: on the risk of myocarditis in young males after getting 64 00:03:41,360 --> 00:03:43,840 Speaker 1: that vaccine. I want to play that for our audience 65 00:03:44,240 --> 00:03:46,360 Speaker 1: pretty much a yes or no. Is there a higher 66 00:03:46,360 --> 00:03:50,400 Speaker 1: incidence of myocarditis among boys sixteen to twenty four after 67 00:03:50,480 --> 00:03:53,640 Speaker 1: they take your vaccine? The data I've shown, actually I've 68 00:03:53,640 --> 00:03:58,080 Speaker 1: seen sorry from the CC actually shown that there's less 69 00:03:58,520 --> 00:04:01,320 Speaker 1: people will get the vaccine, will get the covidi. In fiction, 70 00:04:01,680 --> 00:04:04,480 Speaker 1: you're you're saying that from ages sixteen to twenty four, 71 00:04:04,520 --> 00:04:07,720 Speaker 1: among males who take the COVID vaccine, their risk of 72 00:04:07,760 --> 00:04:10,840 Speaker 1: myocardiis is less than people who get the disease. That 73 00:04:12,160 --> 00:04:14,120 Speaker 1: is not true, and I'd like to enter into the 74 00:04:14,160 --> 00:04:17,520 Speaker 1: record six peer reviewed papers from the Journal of Vaccine 75 00:04:17,880 --> 00:04:20,479 Speaker 1: the Annals of Medicine to say the complete opposite of 76 00:04:20,480 --> 00:04:23,479 Speaker 1: what you say. I also spoke with your president just 77 00:04:23,640 --> 00:04:26,840 Speaker 1: last week, and he readily acknowledged in private that yes, 78 00:04:26,880 --> 00:04:29,680 Speaker 1: there is an increased risk of myocardialis the fact that 79 00:04:29,720 --> 00:04:32,960 Speaker 1: you can't say in public is quite disturbing. Wow, that 80 00:04:33,080 --> 00:04:37,200 Speaker 1: was a powerful moment. Senator muh put you put into 81 00:04:37,240 --> 00:04:40,640 Speaker 1: the record six separate studies. What part of those studies 82 00:04:40,680 --> 00:04:43,640 Speaker 1: didn't he understand? And you would think the head of 83 00:04:43,680 --> 00:04:48,960 Speaker 1: Maderna would be interested in that type of real research. Well, 84 00:04:48,960 --> 00:04:52,120 Speaker 1: most of Europe doesn't have the vaccine, they don't push 85 00:04:52,160 --> 00:04:56,560 Speaker 1: the vaccine on kids under twelve, and most of the world. 86 00:04:56,640 --> 00:04:58,920 Speaker 1: In fact, there's a large study out of Israel showing, 87 00:04:58,960 --> 00:05:02,920 Speaker 1: I think about a twenty eight times increase in milcocarditis 88 00:05:02,960 --> 00:05:06,400 Speaker 1: among people have had the COVID vaccine when compared to 89 00:05:06,440 --> 00:05:08,839 Speaker 1: those who have had the disease. So he's flat out 90 00:05:08,839 --> 00:05:11,520 Speaker 1: wrong in this And the problem is, this is why 91 00:05:11,560 --> 00:05:14,000 Speaker 1: people are hesitant to take the vaccine. This is why 92 00:05:14,000 --> 00:05:18,480 Speaker 1: people don't trust their government. The current cd CDC policy 93 00:05:18,600 --> 00:05:21,600 Speaker 1: is this, and this is outlandish. If your fifteen year 94 00:05:21,640 --> 00:05:24,120 Speaker 1: old has already had COVID, they want him to be vaccinated. 95 00:05:24,520 --> 00:05:26,720 Speaker 1: If you've vaccinate your fifteen year old who's already had 96 00:05:26,760 --> 00:05:29,960 Speaker 1: COVID and they get milcarditis and inflammation of the heart 97 00:05:30,000 --> 00:05:32,800 Speaker 1: which can have elevated heart enzymes like a heart attack, 98 00:05:32,839 --> 00:05:35,080 Speaker 1: and they have chest pain, they go to hospital. The 99 00:05:35,200 --> 00:05:37,919 Speaker 1: CDC recommends that when they recover, you should give them 100 00:05:37,960 --> 00:05:42,160 Speaker 1: another vaccine. No parent in America would do such foolishness 101 00:05:42,240 --> 00:05:44,440 Speaker 1: to vaccinate your kid after he's already had a heart 102 00:05:44,480 --> 00:05:47,880 Speaker 1: inflammation for the verse vaccine, when the disease is not deadly, 103 00:05:48,200 --> 00:05:51,520 Speaker 1: particularly among those who have already recovered from COVID. That's 104 00:05:51,520 --> 00:05:54,080 Speaker 1: the craziness we're getting from government. But then this maternal 105 00:05:54,160 --> 00:05:58,239 Speaker 1: CEO is parenting that, not admitting that there is a problem. 106 00:05:58,839 --> 00:06:02,520 Speaker 1: Marty McCarry, who's on a lot of analysis on Fox 107 00:06:02,560 --> 00:06:07,160 Speaker 1: News and other places, is an esteemed physician at Johns Hopkins. 108 00:06:06,960 --> 00:06:09,880 Speaker 1: He's recommended, Look, you know, you probably don't need any 109 00:06:09,920 --> 00:06:11,680 Speaker 1: of the kids already had COVID, but if you want 110 00:06:11,720 --> 00:06:14,520 Speaker 1: to give them a vaccine, why not one since ninety 111 00:06:14,920 --> 00:06:17,800 Speaker 1: of the heart inflammation comes after the second one and 112 00:06:17,880 --> 00:06:20,560 Speaker 1: the booster. But we have all these Ivy League schools 113 00:06:20,600 --> 00:06:24,400 Speaker 1: that are are demanding three and four vaccines for these 114 00:06:24,440 --> 00:06:27,240 Speaker 1: young kids who are at risk for this heart inflammation. 115 00:06:27,240 --> 00:06:29,680 Speaker 1: It makes no sense at all. I could tell you 116 00:06:29,720 --> 00:06:35,080 Speaker 1: a Senator that I know firsthand athletes in particular that 117 00:06:35,160 --> 00:06:39,560 Speaker 1: have had COVID twice even three times, they're still getting 118 00:06:39,680 --> 00:06:42,479 Speaker 1: mandates for boosters. No matter what it is, they have 119 00:06:42,560 --> 00:06:47,400 Speaker 1: to take it. Now. Understand, in some cases, these college 120 00:06:47,440 --> 00:06:52,240 Speaker 1: athletes began their sport when they were five, six, or seven, 121 00:06:52,839 --> 00:06:55,000 Speaker 1: so by the time they reached what for many of them, 122 00:06:55,000 --> 00:07:00,480 Speaker 1: will be the pinnacle of their athletic career, they're choices. 123 00:07:00,520 --> 00:07:03,920 Speaker 1: Either take it or you're off the team. That's how 124 00:07:03,960 --> 00:07:07,200 Speaker 1: real this is for all of these athletes. You look 125 00:07:07,200 --> 00:07:11,280 Speaker 1: at the way they're treating Novak Djokovic. It is outrageous 126 00:07:11,320 --> 00:07:13,880 Speaker 1: that they're not even letting him play in the Miami Open. 127 00:07:13,920 --> 00:07:16,760 Speaker 1: That is insane to me. It flows downhill from Fusci 128 00:07:16,880 --> 00:07:21,120 Speaker 1: because Falci discounted the idea that you achieved natural immunity 129 00:07:21,160 --> 00:07:24,600 Speaker 1: after you got the infection. He basically said, it doesn't count. 130 00:07:24,680 --> 00:07:27,760 Speaker 1: You got to be vaccinated anyone. But by doing that, 131 00:07:28,040 --> 00:07:30,920 Speaker 1: he actually cost a lot of lives. In the year 132 00:07:30,960 --> 00:07:34,240 Speaker 1: twenty twenty, when there was no vaccine, forty percent of 133 00:07:34,240 --> 00:07:36,720 Speaker 1: the deaths happened in the nursing home. One way we 134 00:07:36,720 --> 00:07:38,600 Speaker 1: could have saved lives in the nursing home is by 135 00:07:38,600 --> 00:07:42,000 Speaker 1: having nurses and nurses assistants who had already recovered from 136 00:07:42,000 --> 00:07:45,240 Speaker 1: COVID strategically putting them in the COVID ward so that 137 00:07:45,280 --> 00:07:48,360 Speaker 1: they had already had COVID already recovered and wouldn't spread 138 00:07:48,400 --> 00:07:51,800 Speaker 1: the disease. Instead, we did none of that. We could 139 00:07:51,800 --> 00:07:54,480 Speaker 1: have protected President Trump. I called the White House and said, 140 00:07:54,880 --> 00:07:57,600 Speaker 1: why don't we have secret service protecting President Trump who 141 00:07:57,600 --> 00:08:01,360 Speaker 1: have already recovered from COVID. But because Fauci was pervasive, 142 00:08:01,400 --> 00:08:05,120 Speaker 1: because he downplayed natural immunity, a lot of lives were 143 00:08:05,120 --> 00:08:08,800 Speaker 1: cost because we didn't have any strategy before the vaccine 144 00:08:08,840 --> 00:08:11,360 Speaker 1: of trying to have people who had recovered be a 145 00:08:11,400 --> 00:08:14,360 Speaker 1: protection for others. Let me play a clash that you 146 00:08:14,480 --> 00:08:18,200 Speaker 1: had with doctor Fauci on two thousand and four comments 147 00:08:18,320 --> 00:08:22,560 Speaker 1: about this very issue of natural immunity. Reuter's fact check 148 00:08:23,400 --> 00:08:27,320 Speaker 1: looked at that and said, Fauci's two thousand and four 149 00:08:27,480 --> 00:08:33,520 Speaker 1: comments do not contradict his pandemic. Actually, actually words don't lie. 150 00:08:33,559 --> 00:08:35,240 Speaker 1: If you look at the words behind me, we can 151 00:08:35,280 --> 00:08:37,319 Speaker 1: go with them a little bit at a time. She 152 00:08:37,400 --> 00:08:41,360 Speaker 1: doesn't need it, because the most potent vaccination is getting 153 00:08:41,400 --> 00:08:44,800 Speaker 1: infected to yourself. It is true. It is true, Senator. 154 00:08:44,880 --> 00:08:48,440 Speaker 1: It is a very potent way to protect. When you're 155 00:08:48,480 --> 00:08:51,320 Speaker 1: trying to tell us that kids need a third or 156 00:08:51,360 --> 00:08:55,320 Speaker 1: a fourth vaccine. Are you including the variability or the 157 00:08:55,480 --> 00:08:59,439 Speaker 1: variable of previous infection in the studies? No, you're not. 158 00:09:00,200 --> 00:09:03,400 Speaker 1: I mean, that is a devastating takedown, Senator. And here's 159 00:09:03,440 --> 00:09:11,400 Speaker 1: the problem. His philosophy, ideology ruled the day, and there 160 00:09:11,520 --> 00:09:15,160 Speaker 1: were very few of you that were out there strongly 161 00:09:15,280 --> 00:09:18,719 Speaker 1: questioning the decisions they're making. And again, you know, this 162 00:09:18,760 --> 00:09:24,040 Speaker 1: is an emergency use authorization with vaccines. The one thing 163 00:09:24,120 --> 00:09:27,440 Speaker 1: that seemed to work the best, at least from my perspective, 164 00:09:27,480 --> 00:09:31,000 Speaker 1: and I think studies back this up are monoclonal lantibodies. 165 00:09:31,080 --> 00:09:35,080 Speaker 1: But emergency authorization has now been declined, so we don't 166 00:09:35,080 --> 00:09:38,520 Speaker 1: make them anymore. To me, is it gets to a 167 00:09:38,559 --> 00:09:41,880 Speaker 1: point where it's unforgivable. And you would think, now that 168 00:09:42,040 --> 00:09:44,880 Speaker 1: Fauci's gone, would have some sense and maybe some common 169 00:09:44,920 --> 00:09:47,560 Speaker 1: sense would return to government. But the rumor is that 170 00:09:47,600 --> 00:09:50,240 Speaker 1: he's actually lingering on. He said he retired, but the 171 00:09:50,320 --> 00:09:52,480 Speaker 1: rumor is that he still works in the federal government. 172 00:09:52,760 --> 00:09:55,280 Speaker 1: And the follow up is is that the conclusion he's 173 00:09:55,280 --> 00:09:57,560 Speaker 1: still working there is he's afraid of being indicted by 174 00:09:57,600 --> 00:10:01,640 Speaker 1: the House, and so he's trying to hang on to 175 00:10:01,760 --> 00:10:04,040 Speaker 1: have legal protection. He wants the government to pay for 176 00:10:04,080 --> 00:10:07,160 Speaker 1: his legal defense. If he has found culpable in this 177 00:10:07,320 --> 00:10:10,120 Speaker 1: cover up of the origins of COVID, if he sound 178 00:10:10,160 --> 00:10:13,160 Speaker 1: culpable for sending the money to Wuhan, guess who's going 179 00:10:13,200 --> 00:10:15,840 Speaker 1: to defend him. He still works over there because he's 180 00:10:16,160 --> 00:10:21,040 Speaker 1: demanding security. Apparently he has federal security detail and apparently 181 00:10:21,080 --> 00:10:23,360 Speaker 1: he wants to have legal protection should he be indicted. 182 00:10:23,840 --> 00:10:27,520 Speaker 1: I mean, that too is outrageous, you know. And then 183 00:10:27,559 --> 00:10:30,120 Speaker 1: we go to the issue of the origins of COVID. 184 00:10:30,520 --> 00:10:32,720 Speaker 1: You know, even John Stewart kind of made it, made 185 00:10:32,720 --> 00:10:35,080 Speaker 1: it funny, but he was on with Colbert and he said, 186 00:10:35,160 --> 00:10:39,440 Speaker 1: let me see, is a virology lab in Wuhan where 187 00:10:39,480 --> 00:10:43,280 Speaker 1: we first discover COVID nineteen, and we know they do 188 00:10:43,400 --> 00:10:47,040 Speaker 1: coronavirus BAT research there, and we know that they do 189 00:10:47,120 --> 00:10:51,360 Speaker 1: gain a function research there. Not only is it plain 190 00:10:51,559 --> 00:10:55,000 Speaker 1: simple common sense that that is the likely origin, but 191 00:10:55,120 --> 00:10:59,240 Speaker 1: then we find out that NIH money given to the 192 00:10:59,320 --> 00:11:02,760 Speaker 1: Eco Health Alliance was funneled to the Wuhan virology Lab, 193 00:11:02,800 --> 00:11:07,079 Speaker 1: which means in plain language that American taxpayers help fund 194 00:11:07,120 --> 00:11:10,880 Speaker 1: the creation of COVID nineteen. Yeah, the mainstream media has 195 00:11:10,880 --> 00:11:14,400 Speaker 1: covered up the fact that even the Chinese CDC admitted 196 00:11:14,720 --> 00:11:16,560 Speaker 1: after a few months of looking at this that it 197 00:11:16,600 --> 00:11:19,200 Speaker 1: didn't come from the marketplace. They finally came to the 198 00:11:19,200 --> 00:11:22,880 Speaker 1: conclusion it didn't come from the marketplace. One of the doctors, 199 00:11:22,960 --> 00:11:25,480 Speaker 1: one of the scientists that's been involved with the batwoman 200 00:11:25,480 --> 00:11:29,560 Speaker 1: over there. Doctor she even he said, proximity is a problem. 201 00:11:29,640 --> 00:11:33,240 Speaker 1: The fact that the lab was in such close proximity 202 00:11:33,600 --> 00:11:36,120 Speaker 1: to where the outbreak came that it's hard to explain 203 00:11:36,240 --> 00:11:39,560 Speaker 1: because the coincidence. Think of the coincidence of this. You 204 00:11:39,640 --> 00:11:42,960 Speaker 1: have a pandemic from a coronavirus, and the lab that 205 00:11:43,040 --> 00:11:46,960 Speaker 1: holds more coronaviruses than any place in the entire world 206 00:11:47,240 --> 00:11:49,920 Speaker 1: happens to be within walking distance of where this started. 207 00:11:50,240 --> 00:11:53,360 Speaker 1: So the coincidences are hard to explain. But there's much 208 00:11:53,400 --> 00:11:56,200 Speaker 1: more than just the coincidences that it's looking at the 209 00:11:56,280 --> 00:11:59,920 Speaker 1: sequence of this virus. In twenty eighteen, the Wuhan lab 210 00:12:00,440 --> 00:12:03,959 Speaker 1: actually asked for US government money to create a virus, 211 00:12:04,200 --> 00:12:07,320 Speaker 1: and the description of that virus meets the description of 212 00:12:07,320 --> 00:12:10,360 Speaker 1: what COVID nineteen became, So we're pretty sure they were 213 00:12:10,400 --> 00:12:13,200 Speaker 1: trying to do this. There are other experiments where they 214 00:12:13,240 --> 00:12:16,440 Speaker 1: were doing this, and what makes it. Even worse is 215 00:12:16,480 --> 00:12:19,920 Speaker 1: you could say, well, maybe we should help their civilians 216 00:12:19,960 --> 00:12:24,480 Speaker 1: to research this. We have evidence now that universities we're 217 00:12:24,480 --> 00:12:27,400 Speaker 1: sending money to their military research in China. We know 218 00:12:27,520 --> 00:12:31,800 Speaker 1: that UC Davis sent money to the Academy for military 219 00:12:31,960 --> 00:12:36,000 Speaker 1: medical research. So we have NIH money going to US 220 00:12:36,920 --> 00:12:40,880 Speaker 1: universities basically being laundered and then sent over to do 221 00:12:41,080 --> 00:12:44,520 Speaker 1: military research in China. And we think that this is 222 00:12:44,520 --> 00:12:47,200 Speaker 1: the funding that actually led to the League. This is 223 00:12:47,200 --> 00:12:50,280 Speaker 1: the crime of the century and it's been completely ignored. 224 00:12:50,640 --> 00:12:53,360 Speaker 1: I still have yet to get one Democrat chairman to 225 00:12:53,440 --> 00:12:56,920 Speaker 1: agree to help me get records. Biden administration has stimuede 226 00:12:56,960 --> 00:12:59,599 Speaker 1: US at every turn. All right, quick break more with 227 00:13:00,000 --> 00:13:03,839 Speaker 1: Senator Rampaul of Kentucky also doctor medical doctor Rampaul as 228 00:13:03,880 --> 00:13:15,000 Speaker 1: we continue great for mainstream media fake news in it. 229 00:13:15,840 --> 00:13:21,320 Speaker 1: This is a seany show. We continue now with Senator 230 00:13:21,440 --> 00:13:24,400 Speaker 1: and medical doctor Rampaul from the great state of Kentucky. 231 00:13:24,840 --> 00:13:29,760 Speaker 1: If you look at the lab leak issue and doctor Faucium, 232 00:13:30,120 --> 00:13:32,360 Speaker 1: he's wrong. If you look at his support and his 233 00:13:32,480 --> 00:13:35,200 Speaker 1: comments in twenty twelve, that should shock the conscience of 234 00:13:35,320 --> 00:13:38,680 Speaker 1: anybody that had gained a function. Research is so important, 235 00:13:38,920 --> 00:13:42,120 Speaker 1: even if he would support it still even if he 236 00:13:42,240 --> 00:13:46,079 Speaker 1: knew it would cause a worldwide pandemic. That's nuts. The 237 00:13:46,120 --> 00:13:50,680 Speaker 1: confrontations you had with doctor Fauci about not taking into 238 00:13:51,000 --> 00:13:57,280 Speaker 1: account natural immunity or previous infection into account when approving vaccines, etc. 239 00:13:58,480 --> 00:14:02,880 Speaker 1: Or your confrontation with the Jarner CEO as well about myocarditis. 240 00:14:03,040 --> 00:14:05,800 Speaker 1: I mean, all of these mistakes. It's almost like they 241 00:14:05,800 --> 00:14:09,359 Speaker 1: got everything wrong and they did it with a religious, 242 00:14:10,280 --> 00:14:14,880 Speaker 1: fervent view, like a cult like adherence to this belief 243 00:14:14,960 --> 00:14:17,200 Speaker 1: system that they had no science to back it up with. 244 00:14:17,520 --> 00:14:19,440 Speaker 1: I think the most important thing to know is that 245 00:14:19,480 --> 00:14:23,000 Speaker 1: Anthony Fauci has a conflict of interest because he approved 246 00:14:23,080 --> 00:14:26,440 Speaker 1: this funding, because he went outside the normal rules. We 247 00:14:26,560 --> 00:14:29,240 Speaker 1: actually put rules in place where this dangerous research was 248 00:14:29,280 --> 00:14:31,840 Speaker 1: supposed to be reviewed by a committee. The only way 249 00:14:31,880 --> 00:14:34,240 Speaker 1: to go around the committee is for Fauci to approve 250 00:14:34,280 --> 00:14:36,920 Speaker 1: going around the committee. So not only did he fund this, 251 00:14:37,120 --> 00:14:39,240 Speaker 1: not only did the support gain a function, he went 252 00:14:39,320 --> 00:14:43,640 Speaker 1: around the traditional rules. There is a degree of culpability 253 00:14:43,720 --> 00:14:47,320 Speaker 1: that he must face. He's also lied about this to Congress, 254 00:14:47,800 --> 00:14:50,520 Speaker 1: but he's been protected at every step by the mainstream 255 00:14:50,600 --> 00:14:53,320 Speaker 1: media that salivates over and if you've ever watched an 256 00:14:53,320 --> 00:14:57,240 Speaker 1: interview between the mainstream media and Faulci, it's enough to 257 00:14:57,320 --> 00:15:00,240 Speaker 1: gag you. There's not one challenging question that's ever ask 258 00:15:00,240 --> 00:15:02,800 Speaker 1: because yuck, yuck, yuck, clap each other on the back, 259 00:15:03,240 --> 00:15:06,000 Speaker 1: ask how the kids are kind of interview. Never once 260 00:15:06,040 --> 00:15:08,600 Speaker 1: as he really had to, or very rarely as he 261 00:15:08,640 --> 00:15:12,440 Speaker 1: ever had a challenging interview. All right, Senator Rampaul, you've 262 00:15:12,440 --> 00:15:14,960 Speaker 1: been brave, you've been courageous, and you've been proven right 263 00:15:15,040 --> 00:15:19,000 Speaker 1: timing again, it's important that we get this right so 264 00:15:19,080 --> 00:15:22,640 Speaker 1: this could never unfold the way it has in this case. Ever. Again, 265 00:15:22,680 --> 00:15:26,640 Speaker 1: I will never trust anybody in government on any health 266 00:15:26,680 --> 00:15:29,040 Speaker 1: issue as long as I live. I can promise you 267 00:15:29,080 --> 00:15:33,000 Speaker 1: that we thought, we appreciate it, Senator Rampaul. Doctor Rampaul, 268 00:15:33,080 --> 00:15:36,080 Speaker 1: thank you, Thank you. Twenty five to the top of 269 00:15:36,120 --> 00:15:38,360 Speaker 1: the hour. Your calls coming up this half hour eight 270 00:15:38,400 --> 00:15:40,920 Speaker 1: hundred nine for one sean our number if you want 271 00:15:40,920 --> 00:15:42,840 Speaker 1: to be a part of the program. Look, there are 272 00:15:42,920 --> 00:15:47,000 Speaker 1: cyber criminals all over the world, and they are specifically 273 00:15:47,120 --> 00:15:51,720 Speaker 1: targeting American homeowners and stealing their home. It has a name. 274 00:15:51,720 --> 00:15:55,080 Speaker 1: It's called home Title theft. Now, Linda met with our 275 00:15:55,120 --> 00:15:57,680 Speaker 1: friends at home title Lock. By the way, their website 276 00:15:57,760 --> 00:16:01,800 Speaker 1: is home title lock dot com. And they showed you 277 00:16:02,360 --> 00:16:05,720 Speaker 1: in real time that they could steal your home from 278 00:16:05,760 --> 00:16:10,200 Speaker 1: you in six short minutes. Tell us what happened. Yeah, 279 00:16:10,240 --> 00:16:11,840 Speaker 1: And the thing is some of those were just like 280 00:16:11,920 --> 00:16:13,920 Speaker 1: highs and hellos. I mean, I think they probably stole 281 00:16:13,920 --> 00:16:16,640 Speaker 1: it an even less time. And so they basically showed me, 282 00:16:16,720 --> 00:16:19,200 Speaker 1: like your househouse its own social Security number, it's called 283 00:16:19,200 --> 00:16:22,160 Speaker 1: an APN, and they go in, they get the APN, 284 00:16:22,240 --> 00:16:25,280 Speaker 1: they lift your signature from your title and your deed, 285 00:16:25,320 --> 00:16:28,280 Speaker 1: which is public, it's on the internet, they copy it, 286 00:16:28,520 --> 00:16:30,840 Speaker 1: they put it on a quick claim deed, they sell 287 00:16:30,880 --> 00:16:33,120 Speaker 1: it to some guy you never met or gal in 288 00:16:33,200 --> 00:16:35,560 Speaker 1: some point of town you've never been to for ten bucks, 289 00:16:35,560 --> 00:16:37,600 Speaker 1: and then they start taking loans out on the equity. 290 00:16:37,880 --> 00:16:39,680 Speaker 1: You're out of a house and out of your equity, 291 00:16:39,720 --> 00:16:41,840 Speaker 1: I mean. And there's nothing else that protects you from 292 00:16:41,880 --> 00:16:44,040 Speaker 1: this except for Home Title Lock. And by the way, 293 00:16:44,080 --> 00:16:47,960 Speaker 1: most homeowners insurance policies don't protect you. Most identity theft 294 00:16:48,000 --> 00:16:51,240 Speaker 1: programs don't protect you, although a couple of them offer 295 00:16:51,360 --> 00:16:56,640 Speaker 1: at an additional fee, home title protection. But anyway, this 296 00:16:56,760 --> 00:16:59,600 Speaker 1: is real and That's why I like home title Lock. 297 00:16:59,680 --> 00:17:02,720 Speaker 1: They put a virtual shield around your home's title, and 298 00:17:02,800 --> 00:17:05,919 Speaker 1: the instant that they detect any activity or tampering around 299 00:17:05,920 --> 00:17:07,800 Speaker 1: your home's title, you're going to shut it down, and 300 00:17:07,840 --> 00:17:10,680 Speaker 1: shut it down fast. Look, first things first, sign up, 301 00:17:11,000 --> 00:17:14,040 Speaker 1: you get a free title scan. Verify that your home 302 00:17:14,160 --> 00:17:17,320 Speaker 1: is safely in your name. Mention my name Sean. You'll 303 00:17:17,320 --> 00:17:22,040 Speaker 1: get thirty days of protection at home titlelock dot com. Okay, 304 00:17:22,080 --> 00:17:26,080 Speaker 1: it's that simple, Home titlelock dot com. Don't be a victim. 305 00:17:27,200 --> 00:17:31,119 Speaker 1: I see, I think where's this so? Anyway, Kamala Harris 306 00:17:31,119 --> 00:17:33,960 Speaker 1: goes to Africa. I believe this comment was made in 307 00:17:34,040 --> 00:17:39,119 Speaker 1: Ghana and it's another word salad. If you can figure 308 00:17:39,160 --> 00:17:41,640 Speaker 1: this out, you can call in and help us out 309 00:17:42,040 --> 00:17:45,200 Speaker 1: on the issue of the economy as a whole that 310 00:17:45,480 --> 00:17:51,280 Speaker 1: we must do putting aside the Pandean mucrane, even before 311 00:17:51,440 --> 00:17:55,880 Speaker 1: the two became an issue foreign nations and a lot 312 00:17:55,920 --> 00:17:57,679 Speaker 1: of that work is the work that I'm here to 313 00:17:57,760 --> 00:18:01,800 Speaker 1: do on the continent that makes sense to anybody is 314 00:18:01,840 --> 00:18:05,080 Speaker 1: it didn't make sense to me? But words salads, you know, 315 00:18:05,280 --> 00:18:07,800 Speaker 1: the passage of time. She has a number of them. 316 00:18:08,119 --> 00:18:10,480 Speaker 1: We'll play a couple of the better ones we are 317 00:18:10,600 --> 00:18:14,240 Speaker 1: doing the work. That is about collaborating around the small 318 00:18:14,320 --> 00:18:17,760 Speaker 1: businesses that will need to do the work. When we 319 00:18:17,800 --> 00:18:21,240 Speaker 1: talk about our small businesses, it not only is it intergenerational, 320 00:18:21,280 --> 00:18:23,920 Speaker 1: but also it's also what's also exciting about our small 321 00:18:23,920 --> 00:18:27,120 Speaker 1: businesses and who they are because it spans the generations. 322 00:18:27,320 --> 00:18:30,680 Speaker 1: In addition to being intergenerational, the significance of the passage 323 00:18:30,720 --> 00:18:33,639 Speaker 1: of time. So when you think about it, there is 324 00:18:33,720 --> 00:18:36,600 Speaker 1: great significance to the passage of time in terms of 325 00:18:36,640 --> 00:18:39,600 Speaker 1: what we need to do to lay these wires, what 326 00:18:39,640 --> 00:18:42,640 Speaker 1: we need to do to create these jobs. And there 327 00:18:42,720 --> 00:18:46,280 Speaker 1: is such great significance to the passage of time when 328 00:18:46,280 --> 00:18:49,800 Speaker 1: we think about a day in the life of our children. 329 00:18:51,680 --> 00:18:56,120 Speaker 1: So community banks are investing in the community bank because 330 00:18:56,200 --> 00:19:01,000 Speaker 1: the community bank serves the community, with the bank in 331 00:19:01,080 --> 00:19:05,840 Speaker 1: the community for the community. Unreal anyway, eight hundred and 332 00:19:05,920 --> 00:19:08,359 Speaker 1: nine for one. Sean, if you want to be a 333 00:19:08,560 --> 00:19:13,000 Speaker 1: part of the program. Jane is in Maine. Jane, Hi, 334 00:19:13,200 --> 00:19:16,879 Speaker 1: how are you? What's going on? Glad you called? Hi? Sean, 335 00:19:16,880 --> 00:19:20,200 Speaker 1: Thanks for taking my call and sorry I cannot help 336 00:19:20,240 --> 00:19:24,960 Speaker 1: you with Kamala's word salad. That's nonsense stuff. Holy wish. 337 00:19:24,960 --> 00:19:28,400 Speaker 1: I could, but I can't, so, but I did want 338 00:19:28,400 --> 00:19:32,280 Speaker 1: to talk to you about the climate cult. So I'm 339 00:19:32,280 --> 00:19:35,320 Speaker 1: really happy right now that at least we're hearing a 340 00:19:35,320 --> 00:19:38,680 Speaker 1: little bit more from credible scientists who are speaking out 341 00:19:39,520 --> 00:19:43,480 Speaker 1: and pushing back about this kind of nebulous science I 342 00:19:43,560 --> 00:19:46,880 Speaker 1: call it. And most of us have figured out now 343 00:19:46,880 --> 00:19:49,400 Speaker 1: that this is nothing more than a great, big transfer 344 00:19:49,400 --> 00:19:54,160 Speaker 1: of wealth. But yesterday you mentioned that you were talking 345 00:19:54,160 --> 00:19:56,560 Speaker 1: a little bit about it, and you mentioned that, yes, 346 00:19:56,600 --> 00:19:59,359 Speaker 1: it does affect our economy, we know that, but you 347 00:19:59,400 --> 00:20:01,080 Speaker 1: also mentioned and that it's going to have a big 348 00:20:01,080 --> 00:20:05,040 Speaker 1: effect on our military. So draw lines to that for 349 00:20:05,160 --> 00:20:07,639 Speaker 1: me and for others. Well, what I'm saying is is 350 00:20:07,680 --> 00:20:14,520 Speaker 1: they are earmarking climate initiatives and as many departments as possible, 351 00:20:14,640 --> 00:20:18,119 Speaker 1: including the military. Now, the military, to me, should be 352 00:20:18,160 --> 00:20:23,560 Speaker 1: about one thing, building the biggest, baddest kick ass you know, Army, Navy, 353 00:20:23,640 --> 00:20:28,280 Speaker 1: Air Force, Marines with the latest most advanced military technology 354 00:20:28,320 --> 00:20:32,000 Speaker 1: and weaponry so that we can overcome any threat at 355 00:20:32,040 --> 00:20:36,879 Speaker 1: any point, anytime, anywhere. And it is not a place 356 00:20:37,000 --> 00:20:41,680 Speaker 1: that America needs to be, you know, focused on climate 357 00:20:41,720 --> 00:20:45,959 Speaker 1: alarmism or the climate cults. But that's what they're doing, 358 00:20:46,440 --> 00:20:50,760 Speaker 1: and Basically, they're infecting every single department of government with 359 00:20:51,200 --> 00:20:54,960 Speaker 1: some aspect of this and spending billions and billions and 360 00:20:55,040 --> 00:20:57,840 Speaker 1: billions of dollars in the process. You know, you have 361 00:20:57,960 --> 00:21:01,119 Speaker 1: US AID is out there, and the Bide administration plans 362 00:21:01,160 --> 00:21:05,360 Speaker 1: to use taxpayer funds to inspire and support young climate 363 00:21:05,400 --> 00:21:09,600 Speaker 1: alarmists in developing countries, even as they acknowledge that young 364 00:21:09,640 --> 00:21:13,480 Speaker 1: people suffer from climate related mental health conditions. And they're 365 00:21:13,480 --> 00:21:16,880 Speaker 1: talking about not a small amount of money. Joe Biden's 366 00:21:16,960 --> 00:21:22,040 Speaker 1: you know, US Agency for International Development last year released 367 00:21:22,400 --> 00:21:25,320 Speaker 1: you know, their twenty twenty two twenty to twenty thirty 368 00:21:25,320 --> 00:21:29,720 Speaker 1: climate Strategy, and it outlines one hundred and fifty billion 369 00:21:30,359 --> 00:21:34,560 Speaker 1: whole of agency approach to building quote equitable world and 370 00:21:34,680 --> 00:21:38,720 Speaker 1: net zero greenhouse emissions. It'd be great if we could 371 00:21:38,760 --> 00:21:43,880 Speaker 1: afford it all, but it's not working for the foreseeable future. 372 00:21:44,320 --> 00:21:48,800 Speaker 1: The lifeblood of the world's economy is going to be oil, gas, 373 00:21:48,840 --> 00:21:52,280 Speaker 1: and coal. Now, if they can find something cheaper and 374 00:21:52,440 --> 00:21:57,960 Speaker 1: more efficient that is easily transferable, I'm all for it. 375 00:21:58,400 --> 00:22:00,560 Speaker 1: But right now, the rest of the world is not 376 00:22:01,280 --> 00:22:04,359 Speaker 1: as woke as America, And you know, there's like a 377 00:22:04,440 --> 00:22:08,880 Speaker 1: billion dollars one hundred and fifty billion dollar whole agency approach. 378 00:22:08,960 --> 00:22:12,400 Speaker 1: We cannot afford this, you know, and the idea of that, 379 00:22:13,400 --> 00:22:16,600 Speaker 1: you know, Energy Secretary Grant Home is out there. Oh, 380 00:22:16,720 --> 00:22:19,919 Speaker 1: China is doing a great job on green initiatives. No 381 00:22:20,000 --> 00:22:22,679 Speaker 1: it's not. And we pointed out too, the New Green 382 00:22:22,720 --> 00:22:25,520 Speaker 1: Deal has nothing to do with green. It has to 383 00:22:25,560 --> 00:22:32,560 Speaker 1: do with radicalized socialism. Guaranteed government education, pre K, guaranteed 384 00:22:32,600 --> 00:22:38,160 Speaker 1: government college, guaranteed government student loan forgiveness, guaranteed a government 385 00:22:38,440 --> 00:22:41,600 Speaker 1: pay and a government job, and guaranteed government healthcare and 386 00:22:41,880 --> 00:22:45,320 Speaker 1: guaranteed government retirement. You know, these are the same people 387 00:22:45,400 --> 00:22:50,200 Speaker 1: that rated the lockbox and bankrupted social Security and medicare. 388 00:22:50,680 --> 00:22:53,280 Speaker 1: These are the same exact people that promised you'd keep 389 00:22:53,320 --> 00:22:55,879 Speaker 1: your doctor, keep your care, and save on average per 390 00:22:55,920 --> 00:22:58,879 Speaker 1: family twenty five hundred dollars a year. These are the 391 00:22:58,960 --> 00:23:03,160 Speaker 1: same people that's a order to defund dismantle no bail laws. 392 00:23:03,200 --> 00:23:06,439 Speaker 1: These are the same people, and why we would trust 393 00:23:06,440 --> 00:23:09,399 Speaker 1: them is beyond my comprehension. But apparently people want to 394 00:23:09,440 --> 00:23:12,280 Speaker 1: believe the big lie that government is going to take 395 00:23:12,320 --> 00:23:16,960 Speaker 1: away all of your fear. It is their version of socialism. 396 00:23:17,000 --> 00:23:19,640 Speaker 1: But history is shown and I've said it many times, 397 00:23:20,000 --> 00:23:24,400 Speaker 1: whatever name, whatever you call it, whatever manifestation of take 398 00:23:24,520 --> 00:23:27,040 Speaker 1: from one group of people, empower the government to take 399 00:23:27,080 --> 00:23:32,919 Speaker 1: their money, redistribute you guarantee people total security. Well, it 400 00:23:33,000 --> 00:23:36,560 Speaker 1: always ends the same way. It ends with a poorer people, 401 00:23:36,760 --> 00:23:41,440 Speaker 1: poorer country, unfulfilled promises, and a loss of freedom. That's 402 00:23:41,440 --> 00:23:46,159 Speaker 1: where America is headed. Well, you make some obviously some 403 00:23:46,200 --> 00:23:49,240 Speaker 1: great big macro points, which is all accurate. But I'll 404 00:23:49,280 --> 00:23:53,280 Speaker 1: tell you what this is doing is destroying world America. Well, 405 00:23:53,400 --> 00:23:57,159 Speaker 1: I'm not disagreeing with you. I mean, look at the 406 00:23:57,359 --> 00:23:59,400 Speaker 1: you know, look at the push now to get rid 407 00:23:59,400 --> 00:24:02,760 Speaker 1: of you know, telling us not to eat beef. Well, 408 00:24:02,760 --> 00:24:06,040 Speaker 1: that's a big part of the ranching business in America. Now, 409 00:24:06,080 --> 00:24:08,240 Speaker 1: if you're a rancher and your government is out there, 410 00:24:08,720 --> 00:24:12,160 Speaker 1: you know, with representatives and davos, you know, a thousand 411 00:24:12,200 --> 00:24:15,879 Speaker 1: private jets taking them where they're justified by John Kerry, 412 00:24:16,240 --> 00:24:18,920 Speaker 1: and then you're being told that Americans should cut back 413 00:24:18,920 --> 00:24:22,720 Speaker 1: on beef for the sake of the environment and climate change. 414 00:24:23,640 --> 00:24:26,840 Speaker 1: I don't think that's right. We have a thousand, nearly 415 00:24:26,880 --> 00:24:30,679 Speaker 1: a thousand fleet of private jets, helicopters that all of 416 00:24:30,680 --> 00:24:34,720 Speaker 1: these officials use regularly. Well, if they're gonna lead by example, 417 00:24:34,760 --> 00:24:36,959 Speaker 1: why don't they give up their big fleet of private 418 00:24:37,000 --> 00:24:42,160 Speaker 1: jets and private helicopters. Well, they pretend to be very 419 00:24:42,280 --> 00:24:45,920 Speaker 1: interested in biofuels when they won't let us take down 420 00:24:45,920 --> 00:24:48,520 Speaker 1: the trees in the forest. Yeah, and now they want 421 00:24:48,520 --> 00:24:51,320 Speaker 1: to take your air conditioner and band gas stoves. Good luck, 422 00:24:51,760 --> 00:24:55,000 Speaker 1: good luck to the country if they are successful anyway, 423 00:24:55,040 --> 00:24:58,520 Speaker 1: good call. I do appreciate it. Thank you so much, Jane. 424 00:24:58,920 --> 00:25:01,080 Speaker 1: All right, quick, freak will come right back. We will 425 00:25:01,080 --> 00:25:03,600 Speaker 1: continue more your calls eight hundred and nine for one, Sean. 426 00:25:03,680 --> 00:25:05,000 Speaker 1: If you want to be a part of the program, 427 00:25:05,040 --> 00:25:08,680 Speaker 1: Part two of my interview with Donald Trump tonight, we'd 428 00:25:08,720 --> 00:25:10,800 Speaker 1: have a lot of things to talk about. That's at 429 00:25:10,840 --> 00:25:19,960 Speaker 1: nine o'clock tonight. As we continue next our final round 430 00:25:20,080 --> 00:25:32,000 Speaker 1: up and information overload. Our right back to our busy phones. 431 00:25:32,359 --> 00:25:35,560 Speaker 1: Ron in Florida next on the Sean Hannity Show. What's up, Ron, 432 00:25:36,040 --> 00:25:38,919 Speaker 1: Good afternoon, Sean, pleasure to speak with you. I have 433 00:25:39,080 --> 00:25:43,160 Speaker 1: been out of my box as far as analysis goes, 434 00:25:43,200 --> 00:25:44,920 Speaker 1: trying to figure out what in the world this thing 435 00:25:45,040 --> 00:25:48,400 Speaker 1: is between Trump and De Santis and being a Florida resident. 436 00:25:50,080 --> 00:25:53,760 Speaker 1: Big onto Santis. Trump my guy for twenty four without 437 00:25:53,760 --> 00:25:56,240 Speaker 1: a doubt, and we all assume that it would be 438 00:25:56,280 --> 00:26:01,360 Speaker 1: a transition from from Trump in twenty eight to de Santis. 439 00:26:01,520 --> 00:26:04,080 Speaker 1: We were hoping that would be the game plan. But 440 00:26:04,160 --> 00:26:07,119 Speaker 1: all of a sudden, we're jitterscratch our heads saying, what 441 00:26:07,280 --> 00:26:11,800 Speaker 1: the world's going on. I've got a theory that you're 442 00:26:11,800 --> 00:26:13,959 Speaker 1: going to have a large field of people who are 443 00:26:14,000 --> 00:26:18,000 Speaker 1: going to be getting into the primary, and every one 444 00:26:18,040 --> 00:26:22,879 Speaker 1: of them relies on the media exposure and money. What 445 00:26:23,040 --> 00:26:26,760 Speaker 1: if you have Da Santis and Trump playing a good 446 00:26:26,800 --> 00:26:31,320 Speaker 1: cop bad cop, and by the two of them in 447 00:26:31,359 --> 00:26:35,400 Speaker 1: this little skirmish that I want to call it, they 448 00:26:35,440 --> 00:26:38,360 Speaker 1: are sucking the air totally out of the other people's 449 00:26:38,400 --> 00:26:41,680 Speaker 1: campaigns or possibilities of getting any attention to keep their 450 00:26:41,680 --> 00:26:44,800 Speaker 1: campaigns going. Look, I think a lot of things can happen. 451 00:26:44,880 --> 00:26:50,560 Speaker 1: I mean, Donald Trump has significant real legal issues. I 452 00:26:50,600 --> 00:26:53,560 Speaker 1: think most of them are unfair. I think a lot 453 00:26:53,600 --> 00:26:56,320 Speaker 1: of what's happened to him has been unjust and unfair 454 00:26:56,359 --> 00:27:00,560 Speaker 1: and frankly unconstitutional in many cases. But has been one 455 00:27:00,600 --> 00:27:03,120 Speaker 1: witch hunt after another. It's not stopped since the moment 456 00:27:03,119 --> 00:27:05,959 Speaker 1: he came down that escalator announcing that he was going 457 00:27:06,000 --> 00:27:10,600 Speaker 1: to run for president for twenty sixteen. So that's never stopped. 458 00:27:10,640 --> 00:27:12,840 Speaker 1: I did ask the President will play part of the 459 00:27:13,080 --> 00:27:16,480 Speaker 1: interview in the next hour. I asked him about DeSantis, 460 00:27:16,560 --> 00:27:19,000 Speaker 1: because I get asked that question right now. The most 461 00:27:19,640 --> 00:27:21,959 Speaker 1: you know, they were friends, and I said to him, 462 00:27:22,000 --> 00:27:25,480 Speaker 1: I said what happened, and I'd let him give his explanation. 463 00:27:25,600 --> 00:27:30,040 Speaker 1: And his explanation basically was that without his help in 464 00:27:30,119 --> 00:27:34,000 Speaker 1: twenty eighteen, and Ron DeSantis, governor DeSantis won that race 465 00:27:34,560 --> 00:27:37,400 Speaker 1: I think a little over thirty thousand votes. Rick Scott 466 00:27:37,400 --> 00:27:40,320 Speaker 1: barely got won by ten thousand. It was very close, 467 00:27:40,880 --> 00:27:44,560 Speaker 1: and certainly Donald Trump played a very big role in 468 00:27:44,640 --> 00:27:46,359 Speaker 1: helping both of them that year, and he did a 469 00:27:46,359 --> 00:27:49,119 Speaker 1: lot of rallies late because the polls were showing that 470 00:27:49,200 --> 00:27:53,680 Speaker 1: it was too close to call. And his basic attitude is, well, 471 00:27:53,680 --> 00:27:56,480 Speaker 1: that's the thanks I get for helping you become governor. 472 00:27:57,280 --> 00:28:00,600 Speaker 1: That was his argument. Whether people find that jitimate or not, 473 00:28:00,680 --> 00:28:03,280 Speaker 1: that's up to them, right. And I saw the same 474 00:28:03,320 --> 00:28:06,760 Speaker 1: thing on Israelly the other night. Same he basically said 475 00:28:06,800 --> 00:28:08,879 Speaker 1: the same thing at the rally that he did to you. 476 00:28:09,520 --> 00:28:13,280 Speaker 1: And some Meridians know that our governor is one of 477 00:28:13,359 --> 00:28:16,280 Speaker 1: the best. Actually, he is the best in the country 478 00:28:16,280 --> 00:28:19,880 Speaker 1: outside and maybe christ you know. But as far as 479 00:28:20,000 --> 00:28:25,840 Speaker 1: working for the people, getting MAGA policies, MAGA a whole 480 00:28:25,960 --> 00:28:28,680 Speaker 1: range of MAGA new laws. Well, the one he just 481 00:28:28,720 --> 00:28:33,920 Speaker 1: signed about the school choice. These are not these are 482 00:28:33,960 --> 00:28:37,480 Speaker 1: not deep state policies that he's passing and pushing here. 483 00:28:37,520 --> 00:28:40,000 Speaker 1: And he told us when he went for re election 484 00:28:40,160 --> 00:28:43,320 Speaker 1: he was going to serve out his turn. We we 485 00:28:43,600 --> 00:28:46,520 Speaker 1: expect that and we honor that. And that's why this 486 00:28:46,680 --> 00:28:48,840 Speaker 1: whole thing doesn't make a whole lot of the sense. 487 00:28:49,080 --> 00:28:52,560 Speaker 1: Oh look, he hasn't announced JET, but he hasn't ruled 488 00:28:52,600 --> 00:28:56,320 Speaker 1: it out officially yet either. If if you want my gut, 489 00:28:56,600 --> 00:28:59,320 Speaker 1: I think I think he's gonna run. That is what 490 00:28:59,360 --> 00:29:03,320 Speaker 1: my gut tells me. Look, Ronda Santis, in my opinion, 491 00:29:03,360 --> 00:29:07,000 Speaker 1: I can make this prediction today, putting this election aside, 492 00:29:08,280 --> 00:29:11,280 Speaker 1: I think he will be president one day. He's very young, 493 00:29:11,320 --> 00:29:15,000 Speaker 1: he's forty four years old, as in, an incredible background, 494 00:29:15,400 --> 00:29:18,720 Speaker 1: great credentials. He did a great job in his first term. 495 00:29:18,760 --> 00:29:21,360 Speaker 1: I would expect the same in his second term. And 496 00:29:21,800 --> 00:29:25,200 Speaker 1: what I prefer that Republicans not have so much in 497 00:29:25,280 --> 00:29:29,640 Speaker 1: fighting yeah, I think i'd prefer it. However, I'm also 498 00:29:29,680 --> 00:29:32,120 Speaker 1: a realist and I've been doing this over thirty years, 499 00:29:32,200 --> 00:29:34,000 Speaker 1: and i can tell you it's par for the course 500 00:29:34,400 --> 00:29:37,080 Speaker 1: and it's only a matter of time when it happens. 501 00:29:37,680 --> 00:29:42,600 Speaker 1: Usually it doesn't happen this early. Usually that comes when 502 00:29:42,920 --> 00:29:46,120 Speaker 1: the Iowa caucuses begin and the New Hampshire Primary comes 503 00:29:46,120 --> 00:29:50,080 Speaker 1: in in South Carolina and Super Tuesday, it gets vicious 504 00:29:50,080 --> 00:29:52,280 Speaker 1: out there. And by the way, this is not unique 505 00:29:52,320 --> 00:29:55,120 Speaker 1: to Republicans. It's the same with Democrats. That they're out 506 00:29:55,240 --> 00:29:58,120 Speaker 1: there's so much at stake that they're not in this 507 00:29:58,200 --> 00:30:00,560 Speaker 1: to lose. I can tell you that. One of the 508 00:30:00,640 --> 00:30:04,120 Speaker 1: reasons I think that anybody that loses a presidential race 509 00:30:04,160 --> 00:30:06,880 Speaker 1: struggles so much, is they but they believed the whole 510 00:30:06,880 --> 00:30:09,640 Speaker 1: time they were going to win. Hillary thought it, John 511 00:30:09,720 --> 00:30:13,120 Speaker 1: McCain thought it, Mitt Romney thought it. Al Gore thought it. 512 00:30:13,400 --> 00:30:17,520 Speaker 1: And it's it's not easy to put your ass on 513 00:30:17,560 --> 00:30:19,840 Speaker 1: the line like that and not have it come out 514 00:30:19,880 --> 00:30:21,960 Speaker 1: the way you want. Well, I couldn't agree more. And 515 00:30:22,000 --> 00:30:24,760 Speaker 1: the whole thing about him as a VP to Trump, well, 516 00:30:24,800 --> 00:30:29,360 Speaker 1: I think it's make constitution that the president can be 517 00:30:29,400 --> 00:30:31,080 Speaker 1: from the same state, so that kind of knocks that 518 00:30:31,160 --> 00:30:34,200 Speaker 1: one out of the latter. Uh. It just doesn't make 519 00:30:34,240 --> 00:30:37,040 Speaker 1: a whole lot of sense to us that everything was 520 00:30:37,120 --> 00:30:38,760 Speaker 1: going so good for both of them and all of 521 00:30:38,800 --> 00:30:42,600 Speaker 1: a sudden this thing started. Well, that's that's exactly what 522 00:30:42,640 --> 00:30:44,840 Speaker 1: I asked. That's why I asked the question. And when 523 00:30:44,840 --> 00:30:46,880 Speaker 1: we have run descend us on again, I'll ask him 524 00:30:46,920 --> 00:30:48,720 Speaker 1: the same question or ask him to respond to it. 525 00:30:48,720 --> 00:30:51,479 Speaker 1: If he wants to be cann of. He doesn't, that's fine. Um. 526 00:30:52,120 --> 00:30:54,200 Speaker 1: You know right now, I know he's focused on his 527 00:30:54,320 --> 00:30:57,600 Speaker 1: legislative session. I don't think there'd be any decision until 528 00:30:57,640 --> 00:31:01,760 Speaker 1: that session ends, probably sometime in late May, maybe early June, 529 00:31:02,240 --> 00:31:04,600 Speaker 1: and you know we're gonna watch it unfold. Then you 530 00:31:04,680 --> 00:31:08,640 Speaker 1: got Chris Christie, he's hinting he wants to get in. 531 00:31:09,240 --> 00:31:11,920 Speaker 1: Mike Pompeo is out there, Nicky Haley is out there. 532 00:31:12,520 --> 00:31:16,400 Speaker 1: Senator Tim Scott is out there. I don't think after 533 00:31:16,440 --> 00:31:19,480 Speaker 1: I asked her last week, I don't think Christy Noma's 534 00:31:19,760 --> 00:31:22,360 Speaker 1: is gonna run. But you know you might have Glenn 535 00:31:22,440 --> 00:31:24,680 Speaker 1: Young can jump in this race. Who knows a lot 536 00:31:24,720 --> 00:31:27,560 Speaker 1: of people could be jumping in anyway, We'll watch it 537 00:31:27,640 --> 00:31:30,160 Speaker 1: and it's gonna be what it's gonna be. You can 538 00:31:30,200 --> 00:31:33,120 Speaker 1: wish all you want for peace and harmony, but at 539 00:31:33,160 --> 00:31:35,600 Speaker 1: some point it's not gonna be peace and harmony. That 540 00:31:35,720 --> 00:31:37,920 Speaker 1: I can promise you. And there's a lot of things 541 00:31:37,960 --> 00:31:39,880 Speaker 1: that are going to happen between now an election day 542 00:31:39,880 --> 00:31:44,280 Speaker 1: that'll impact people's thinking. 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