1 00:00:00,560 --> 00:00:03,480 Speaker 1: All right, thanks Scott. Shown an hour two Sean Hannity Show, 2 00:00:03,520 --> 00:00:05,480 Speaker 1: Toll free. It's say eight hundred and ninefolt one, Shawn, 3 00:00:05,519 --> 00:00:06,920 Speaker 1: if you want to be a part of the program, 4 00:00:07,200 --> 00:00:10,520 Speaker 1: I want to go back to yesterday and Anthony Fauci 5 00:00:10,760 --> 00:00:13,400 Speaker 1: on Capitol Hill. There were so many key moments in 6 00:00:13,480 --> 00:00:18,400 Speaker 1: this hearing. You know, it's remember Fauci is the guy 7 00:00:18,400 --> 00:00:21,200 Speaker 1: that said, you know, it's sort of just appeared, I 8 00:00:21,239 --> 00:00:27,000 Speaker 1: don't recall in a January congressional interview of the Social 9 00:00:27,080 --> 00:00:30,040 Speaker 1: Distancing Mandate. Remember this is the guy that in March 10 00:00:30,200 --> 00:00:33,159 Speaker 1: of twenty twenty said, oh, masks don't work, and then 11 00:00:33,200 --> 00:00:36,199 Speaker 1: of course it became well one mask and two masks 12 00:00:36,240 --> 00:00:40,640 Speaker 1: and maybe masks in perpetuity, and he just flips and 13 00:00:40,680 --> 00:00:45,040 Speaker 1: flops and flails and lies with impunity. Here, you know, 14 00:00:45,080 --> 00:00:46,880 Speaker 1: the one person who's going to join us in a 15 00:00:46,920 --> 00:00:50,280 Speaker 1: minute that has been proven right and at the time 16 00:00:50,360 --> 00:00:53,239 Speaker 1: took a lot of heat for all of this is 17 00:00:53,360 --> 00:00:57,400 Speaker 1: Ran Paul. Doctor Ram Paul, medical doctor, Ram Paul, Senator 18 00:00:57,480 --> 00:00:57,880 Speaker 1: Ram Paul. 19 00:00:57,960 --> 00:00:59,600 Speaker 2: That Ram Paul, you know. 20 00:00:59,640 --> 00:01:05,720 Speaker 1: But here here's Fauci testifying to Representative Morgan Griffith about 21 00:01:05,720 --> 00:01:09,440 Speaker 1: the viruses studied with NIH funding and how it could 22 00:01:09,440 --> 00:01:12,480 Speaker 1: not be a precursor to stars COVID too. Now, remember 23 00:01:13,200 --> 00:01:16,959 Speaker 1: it's how did this all go down. It went NIH 24 00:01:17,280 --> 00:01:21,440 Speaker 1: funding went to the Wuhan Virology Lab. They knew all 25 00:01:21,480 --> 00:01:24,440 Speaker 1: about it, and we'll get into detail with Senator Paul. 26 00:01:25,160 --> 00:01:27,080 Speaker 1: They knew all about it at the time, in the 27 00:01:27,240 --> 00:01:31,840 Speaker 1: earliest days, and then tried to downplay you know that 28 00:01:31,959 --> 00:01:35,320 Speaker 1: this this likely came from this lab, which they knew 29 00:01:35,640 --> 00:01:40,679 Speaker 1: was involved in gain of function research and coronavirus research. Anyway, 30 00:01:40,720 --> 00:01:42,040 Speaker 1: here's the exchange yesterday. 31 00:01:42,480 --> 00:01:46,840 Speaker 3: There's a difference between the viruses that were funded by 32 00:01:46,880 --> 00:01:51,000 Speaker 3: the NIH sub award versus anything else anybody else in 33 00:01:51,080 --> 00:01:56,000 Speaker 3: China might be doing excellent. We were talking about the NIH. 34 00:01:56,080 --> 00:01:58,360 Speaker 4: You were talking about what you fund, but we funded 35 00:01:58,600 --> 00:02:00,720 Speaker 4: all right, It's the point, and and that goes to 36 00:02:00,760 --> 00:02:02,680 Speaker 4: my next question because I thought you might go there, 37 00:02:02,720 --> 00:02:05,440 Speaker 4: and I appreciate that because in an offul record member 38 00:02:05,520 --> 00:02:08,680 Speaker 4: level briefing in February of twenty twenty two, I asked 39 00:02:08,720 --> 00:02:12,400 Speaker 4: about the likelihood and nature of a SARS related coronavirus 40 00:02:12,800 --> 00:02:15,040 Speaker 4: to have if you're in cleavage site, particularly since it 41 00:02:15,080 --> 00:02:18,600 Speaker 4: takes the twelve nucleotide change in there to make it 42 00:02:18,639 --> 00:02:21,200 Speaker 4: so to make it as viral as this was going on. 43 00:02:21,600 --> 00:02:23,440 Speaker 4: And at the time you said to me pretty much 44 00:02:23,440 --> 00:02:24,880 Speaker 4: what you just said, and I want you to just 45 00:02:24,919 --> 00:02:27,560 Speaker 4: confirm it for the record, Well, that wasn't us. If 46 00:02:27,560 --> 00:02:29,720 Speaker 4: that was being done, it wasn't us. And you confirm 47 00:02:29,800 --> 00:02:31,760 Speaker 4: that for the record. Yes, No, it wasn't you. It 48 00:02:31,760 --> 00:02:33,760 Speaker 4: wasn't what you were funding. What I'm saying is. 49 00:02:33,720 --> 00:02:37,840 Speaker 3: That I cannot account, nor can anyone account for other 50 00:02:37,919 --> 00:02:40,280 Speaker 3: things that might be going on in China, which is 51 00:02:40,320 --> 00:02:44,040 Speaker 3: the reason why I have always said and will say now, 52 00:02:44,560 --> 00:02:48,520 Speaker 3: I keep an open mind as to what the origin is. 53 00:02:48,919 --> 00:02:51,720 Speaker 3: But the one thing I know for sure is that 54 00:02:51,760 --> 00:02:56,919 Speaker 3: the viruses that were funded by the NIH phylogenetically could 55 00:02:56,960 --> 00:02:59,959 Speaker 3: not be the precursor of saus CoV two. 56 00:03:00,560 --> 00:03:01,720 Speaker 2: Wow, unbelievable. 57 00:03:01,800 --> 00:03:04,320 Speaker 1: Let me play you two more cuts of Fauci from yesterday, 58 00:03:04,360 --> 00:03:07,560 Speaker 1: and then we'll bring in doctor ram Paul. NIH did 59 00:03:07,560 --> 00:03:11,680 Speaker 1: not fund gain of function, really, because they actually did, 60 00:03:12,280 --> 00:03:14,440 Speaker 1: and we know that now for a fact through the 61 00:03:14,440 --> 00:03:15,560 Speaker 1: Eco Health Alliance. 62 00:03:15,639 --> 00:03:16,920 Speaker 2: Here's what he said yesterday. 63 00:03:17,400 --> 00:03:23,200 Speaker 3: As you said, Congressman Ruiz, according to the regulatory and 64 00:03:23,320 --> 00:03:27,440 Speaker 3: operative definition of P three CO, the NIH did not 65 00:03:27,880 --> 00:03:32,320 Speaker 3: fund gain of function research at the Wuhan Institute of Virology. 66 00:03:32,840 --> 00:03:33,280 Speaker 2: Wow. 67 00:03:33,639 --> 00:03:36,160 Speaker 1: Oh, I can't wait to hear what doctor Paul has 68 00:03:36,200 --> 00:03:40,480 Speaker 1: to say about this now then admitted that efficacy of 69 00:03:40,520 --> 00:03:44,120 Speaker 1: the vaccine waned as months passed by. What did they 70 00:03:44,160 --> 00:03:46,960 Speaker 1: tell all of us that if you get the shot, 71 00:03:47,160 --> 00:03:50,240 Speaker 1: you get the jab, and then you get the second jab, 72 00:03:50,240 --> 00:03:53,600 Speaker 1: and then you get the you know, ensuing jabs and 73 00:03:53,640 --> 00:03:58,280 Speaker 1: the booster booster one, booster, two, booster whatever. Anyway, thank 74 00:03:58,320 --> 00:04:00,840 Speaker 1: god I didn't get it. I didn't tell any of 75 00:04:00,840 --> 00:04:03,000 Speaker 1: you what to do because I'm not a doctor. I 76 00:04:03,040 --> 00:04:05,480 Speaker 1: don't know anything about your medical history. But I said 77 00:04:05,480 --> 00:04:07,560 Speaker 1: to just take it seriously, and you got to talk 78 00:04:07,600 --> 00:04:10,200 Speaker 1: to your own doctor, make your own decision. Remember it 79 00:04:10,320 --> 00:04:15,320 Speaker 1: was it was always emergency authorization. But anyway, here's what 80 00:04:15,360 --> 00:04:18,000 Speaker 1: he said about what I think is one of the 81 00:04:18,000 --> 00:04:20,320 Speaker 1: most important issues and one of the biggest lies ever 82 00:04:20,400 --> 00:04:22,599 Speaker 1: told to the American people on the issue of health. 83 00:04:23,000 --> 00:04:27,000 Speaker 3: Did the COVID vaccine stop transmission of the virus? That 84 00:04:27,120 --> 00:04:30,480 Speaker 3: is a complicated issue because in the beginning, the first 85 00:04:31,040 --> 00:04:35,800 Speaker 3: iteration of the vaccines did have an effect, not one 86 00:04:35,839 --> 00:04:40,760 Speaker 3: hundred percent, not a high effect. They did prevent infection 87 00:04:40,920 --> 00:04:47,280 Speaker 3: and subsequently obviously transmission. However, it's important to point out 88 00:04:47,360 --> 00:04:50,960 Speaker 3: something that we did not know early on that became 89 00:04:51,080 --> 00:04:55,520 Speaker 3: evident as the months went by, is that the durability 90 00:04:55,720 --> 00:05:01,960 Speaker 3: of protection against infection and hence transmission was relatively limited, 91 00:05:02,320 --> 00:05:08,000 Speaker 3: whereas the duration of protection against severe disease, hospitalization and 92 00:05:08,120 --> 00:05:11,919 Speaker 3: deaths was more prolonged. We did not know that in 93 00:05:11,960 --> 00:05:15,240 Speaker 3: the beginning. In the beginning, it was felt that in 94 00:05:15,320 --> 00:05:18,880 Speaker 3: fact it did prevent infection and thus transmission, but that 95 00:05:19,040 --> 00:05:22,280 Speaker 3: was proven as time went by to not be a 96 00:05:22,360 --> 00:05:23,200 Speaker 3: durable effect. 97 00:05:23,800 --> 00:05:27,400 Speaker 1: Okay, Senator Ram Paul is with us now. Senator, great 98 00:05:27,440 --> 00:05:31,520 Speaker 1: to have you did Anthony Fauci tell the American people 99 00:05:31,560 --> 00:05:35,080 Speaker 1: the truth? And in your book The Great COVID Cover 100 00:05:35,240 --> 00:05:38,840 Speaker 1: Up Deception, The Great COVID Cover Up, by the way, 101 00:05:38,839 --> 00:05:44,000 Speaker 1: I urge everybody to read. What did you discover in 102 00:05:44,080 --> 00:05:46,239 Speaker 1: terms of emails that prove that he's lying. 103 00:05:46,880 --> 00:05:50,080 Speaker 5: The only thing consistent about his testimony yesterday was that 104 00:05:50,160 --> 00:05:54,560 Speaker 5: he consistently lies and is dishonest about gain of function. 105 00:05:55,160 --> 00:05:58,600 Speaker 5: We had testimony from the acting director of the NIH 106 00:05:58,720 --> 00:06:01,720 Speaker 5: and he admitted on oath that yes, this was gain 107 00:06:01,720 --> 00:06:06,520 Speaker 5: of function. We also have emails from Tony Fauci Anthony 108 00:06:06,560 --> 00:06:10,880 Speaker 5: Fauci from February first of twenty twenty, in which he says, 109 00:06:11,040 --> 00:06:13,479 Speaker 5: we know the research is dangerous over there. We know 110 00:06:13,600 --> 00:06:16,640 Speaker 5: it's gain of function, and he describes research, and the 111 00:06:16,640 --> 00:06:19,919 Speaker 5: research he describes is what he had been funding. We 112 00:06:20,000 --> 00:06:22,240 Speaker 5: know that one of the first emails that came out 113 00:06:22,279 --> 00:06:25,839 Speaker 5: two weeks after we heard of what the genetic sequence 114 00:06:25,960 --> 00:06:29,000 Speaker 5: was in China. Two weeks later, one of his aides 115 00:06:29,120 --> 00:06:32,960 Speaker 5: emails him and says, here's that gain of function project 116 00:06:33,000 --> 00:06:36,320 Speaker 5: that we funded. We're not so sure how this happened 117 00:06:36,600 --> 00:06:39,760 Speaker 5: because it never went before the Safety committee. And this 118 00:06:39,800 --> 00:06:42,240 Speaker 5: is one of the biggest mistakes probably made in the 119 00:06:42,279 --> 00:06:45,600 Speaker 5: history of modern medicine. We set up a safety committee 120 00:06:45,640 --> 00:06:49,760 Speaker 5: back in twenty sixteen to oversee dangerous gain of function research. 121 00:06:50,040 --> 00:06:50,640 Speaker 6: The only way you. 122 00:06:50,640 --> 00:06:53,680 Speaker 5: Can evade that committee and evade that scrutiny is with 123 00:06:54,120 --> 00:06:57,800 Speaker 5: the director giving an exemption. So Anthony Fauci gave them 124 00:06:57,800 --> 00:07:00,920 Speaker 5: an exemption, and then he argues, well, it doesn't meet 125 00:07:00,960 --> 00:07:03,800 Speaker 5: the definition. You know, this committee was called the P 126 00:07:03,920 --> 00:07:06,520 Speaker 5: three CEO. Comed he says, it doesn't meet the definition 127 00:07:06,600 --> 00:07:09,039 Speaker 5: of gain of function. Well, guess what, it never went 128 00:07:09,080 --> 00:07:12,120 Speaker 5: before the committee, somebody should have brought up yesterday. Well, 129 00:07:12,680 --> 00:07:14,840 Speaker 5: it never had a chance to meet or not meet 130 00:07:14,840 --> 00:07:18,280 Speaker 5: the definition because the committee was never allowed to scrutinize 131 00:07:18,280 --> 00:07:21,400 Speaker 5: this research. So what I've been asking for if it 132 00:07:21,400 --> 00:07:24,120 Speaker 5: didn't go to the committee, wasn't there some sort of 133 00:07:24,280 --> 00:07:28,239 Speaker 5: internal deliberation of whether this was gain of function? Valuci says, 134 00:07:28,280 --> 00:07:30,560 Speaker 5: all of those scientists, all of them up and down, 135 00:07:30,640 --> 00:07:33,000 Speaker 5: say it's not gain of function. Well, then give us 136 00:07:33,000 --> 00:07:36,400 Speaker 5: the deliberations, give us the minutes of the discussion of 137 00:07:36,440 --> 00:07:40,360 Speaker 5: the meeting where this occurred. They steadfastly refuse. And the 138 00:07:40,480 --> 00:07:44,240 Speaker 5: NIH has clammed up worse than the CIA. And the 139 00:07:44,280 --> 00:07:47,680 Speaker 5: only thing consistent is Anthony Vauci continues to lie about this. 140 00:07:48,400 --> 00:07:50,800 Speaker 1: You know, if you go back, Senator, and we had 141 00:07:50,840 --> 00:07:53,840 Speaker 1: you on the program many many times, both radio and TV, 142 00:07:54,000 --> 00:07:59,160 Speaker 1: discussing this, and you were very very adamant about how 143 00:07:59,240 --> 00:08:03,440 Speaker 1: they were so dismissive of natural immunity or anybody that 144 00:08:03,720 --> 00:08:09,400 Speaker 1: questioned what was emergency authorization use of mRNA technology. Now, 145 00:08:09,440 --> 00:08:12,120 Speaker 1: I had interviewed doctor Robert Malone at the time, without 146 00:08:12,160 --> 00:08:17,360 Speaker 1: whom they wouldn't have had m RNA vaccination possibilities, and 147 00:08:17,440 --> 00:08:20,160 Speaker 1: he had told me at the time that. 148 00:08:20,400 --> 00:08:22,520 Speaker 2: The science is not perfected. 149 00:08:23,440 --> 00:08:26,240 Speaker 1: And again, it wouldn't have been Maderner, there wouldn't have 150 00:08:26,280 --> 00:08:30,000 Speaker 1: been Faisa, there wouldn't have been Astrozenica, which by the way, 151 00:08:30,000 --> 00:08:32,000 Speaker 1: has been pulled from the market in Great Britain. 152 00:08:32,640 --> 00:08:36,200 Speaker 2: None of this would have happened. And yet he was 153 00:08:36,240 --> 00:08:36,760 Speaker 2: saying that. 154 00:08:37,280 --> 00:08:42,120 Speaker 1: However, because older people were susceptible, especially with co morbidities 155 00:08:42,120 --> 00:08:45,520 Speaker 1: and pre existing conditions, I would be appropriate for people 156 00:08:45,600 --> 00:08:48,959 Speaker 1: sixty five or older or people with those comorbidities pre 157 00:08:48,960 --> 00:08:53,400 Speaker 1: existing conditions, only not for young kids. Nobody wanted to 158 00:08:53,480 --> 00:08:56,000 Speaker 1: listen to him, and when he went on Joe Rogan, 159 00:08:56,040 --> 00:08:58,400 Speaker 1: he got the crap beat out of him in the press. 160 00:08:58,880 --> 00:09:02,960 Speaker 1: And meanwhile, those those vaccinations don't exist but for this guy. 161 00:09:03,880 --> 00:09:06,600 Speaker 5: And realized that even when the committees looked at this, 162 00:09:06,800 --> 00:09:10,440 Speaker 5: the left kept saying, follow the science, Republicans conservatives won't 163 00:09:10,480 --> 00:09:14,280 Speaker 5: follow the science. Well, the scientific committees that approved vaccines 164 00:09:14,640 --> 00:09:19,000 Speaker 5: when they approved booster vaccines additional COVID vaccines, approved them 165 00:09:19,040 --> 00:09:21,560 Speaker 5: only for sixty five and older. So how did we 166 00:09:21,559 --> 00:09:25,400 Speaker 5: get down to six months? Rachelle Wa Lensky, a political 167 00:09:25,440 --> 00:09:30,280 Speaker 5: appointee by Biden to the CDC overrode the scientific community, 168 00:09:30,600 --> 00:09:32,240 Speaker 5: and she said, no, we're going to do it all 169 00:09:32,280 --> 00:09:36,160 Speaker 5: the way down to six months, so they ignored the differential. 170 00:09:36,360 --> 00:09:39,360 Speaker 5: It's a thousandfold more dangerous for a seventy year old 171 00:09:39,360 --> 00:09:41,280 Speaker 5: than it is for a seven year old, and it's 172 00:09:41,360 --> 00:09:43,720 Speaker 5: close to zero for a seven year old. It really 173 00:09:43,840 --> 00:09:47,600 Speaker 5: is close to zero. Entire countries Germany looked at ages 174 00:09:47,640 --> 00:09:51,199 Speaker 5: five to eighteen and found no deaths of any child 175 00:09:51,200 --> 00:09:53,840 Speaker 5: that did not already have a serious health issue, a 176 00:09:53,960 --> 00:09:57,280 Speaker 5: terminal health issue. So they have not been honest with 177 00:09:57,320 --> 00:10:01,199 Speaker 5: this on natural immunity. This is going to happen again. 178 00:10:01,360 --> 00:10:04,360 Speaker 5: Sometime in our lifetime. There's going to be another outbreak, 179 00:10:04,400 --> 00:10:06,600 Speaker 5: and it may come from a lab again. But when 180 00:10:06,640 --> 00:10:09,520 Speaker 5: it does, until there is a vaccine, whether it works 181 00:10:09,600 --> 00:10:12,800 Speaker 5: or doesn't work, when a vaccine comes out, before that, 182 00:10:12,960 --> 00:10:15,440 Speaker 5: the only thing you have is immunity. So if a 183 00:10:15,480 --> 00:10:18,160 Speaker 5: disease is going to affect the elderly and nursing homes, 184 00:10:18,440 --> 00:10:20,920 Speaker 5: the one thing you could do, and Anthony Fauci could 185 00:10:20,920 --> 00:10:24,480 Speaker 5: have done, was warn us and also then take people 186 00:10:24,520 --> 00:10:27,120 Speaker 5: with natural immunity and have them become the nurses and 187 00:10:27,160 --> 00:10:30,400 Speaker 5: attendants in the old folks homes in the nursing homes, 188 00:10:30,600 --> 00:10:33,040 Speaker 5: because then they would actually be protecting because they have 189 00:10:33,120 --> 00:10:36,199 Speaker 5: natural immunity. They would be protecting the old folks from 190 00:10:36,200 --> 00:10:38,360 Speaker 5: having new young people come in every day and bring 191 00:10:38,360 --> 00:10:42,040 Speaker 5: the disease to the older people who can't withstand the disease. 192 00:10:42,520 --> 00:10:46,000 Speaker 1: Let me ask you this, Can you say with one 193 00:10:46,040 --> 00:10:51,320 Speaker 1: hundred percent certainty that Americans listening to this show and 194 00:10:51,360 --> 00:10:55,760 Speaker 1: the American people actually paid for what happened in that 195 00:10:55,920 --> 00:10:58,959 Speaker 1: Uhan virology lab, and that we relied to about. 196 00:10:58,720 --> 00:11:01,480 Speaker 5: It without question, and we paid for the research. The 197 00:11:01,520 --> 00:11:03,520 Speaker 5: only debate is whether or not the research is gain 198 00:11:03,520 --> 00:11:06,800 Speaker 5: of function or not, and the NIH acting head says sure, 199 00:11:06,800 --> 00:11:09,160 Speaker 5: according to the general usage of the term, it is. 200 00:11:09,559 --> 00:11:12,240 Speaker 5: And Anthony Fauci and his private emails also said it 201 00:11:12,280 --> 00:11:14,880 Speaker 5: was gain of function. So he is lying because he's 202 00:11:14,880 --> 00:11:18,960 Speaker 5: trying to escape responsibility. Yes, I believe that there's over 203 00:11:19,000 --> 00:11:22,280 Speaker 5: a ninety percent chance, over a ninety five percent chance 204 00:11:22,320 --> 00:11:23,160 Speaker 5: that this came. 205 00:11:22,920 --> 00:11:23,560 Speaker 7: From a lab. 206 00:11:24,080 --> 00:11:26,480 Speaker 5: And could we be proven wrong. Yes, if they find 207 00:11:26,480 --> 00:11:30,000 Speaker 5: an animal reservoir and they can produce evidence that it 208 00:11:30,080 --> 00:11:33,600 Speaker 5: was there before COVID, things could change. They have found 209 00:11:33,640 --> 00:11:35,560 Speaker 5: that in the past, they haven't found it so far 210 00:11:36,000 --> 00:11:39,240 Speaker 5: it's unusual that they never found an animal reservoir. The 211 00:11:39,280 --> 00:11:41,600 Speaker 5: other thing is if it comes from animals. If you 212 00:11:41,640 --> 00:11:44,160 Speaker 5: look at the blood bank in twenty nineteen in China, 213 00:11:44,559 --> 00:11:47,360 Speaker 5: or you look at previous infections and you test old things, 214 00:11:47,640 --> 00:11:49,679 Speaker 5: you find that it was lurking around and that there 215 00:11:49,720 --> 00:11:51,679 Speaker 5: was a lot of this sort of in there. They 216 00:11:51,679 --> 00:11:54,360 Speaker 5: didn't find that. They found that this suddenly arose all 217 00:11:54,400 --> 00:11:57,480 Speaker 5: at once, and that it was one genetic variety. All 218 00:11:57,559 --> 00:11:59,839 Speaker 5: that points towards evidence that it came from a lab. 219 00:12:00,280 --> 00:12:01,640 Speaker 2: Let me ask you this question. 220 00:12:01,840 --> 00:12:04,800 Speaker 1: Do you believe we made a mistake pressuring the American 221 00:12:04,920 --> 00:12:07,480 Speaker 1: people and shaming them and embarrassing them if they didn't 222 00:12:07,480 --> 00:12:11,520 Speaker 1: want the shot to take this vaccine? Do you believe 223 00:12:11,559 --> 00:12:14,440 Speaker 1: it's a health risk? Do you believe myocarditis and blood 224 00:12:14,440 --> 00:12:16,840 Speaker 1: clotting is one of the aftermaths of this. 225 00:12:17,280 --> 00:12:20,600 Speaker 5: I think it's always and will always be a mistake 226 00:12:20,800 --> 00:12:24,240 Speaker 5: to mandate any kind of health care injection that you 227 00:12:24,400 --> 00:12:26,599 Speaker 5: make someone take at the end of a gun. I 228 00:12:26,640 --> 00:12:30,120 Speaker 5: think that's a mistake. If you ask me who should 229 00:12:30,120 --> 00:12:33,640 Speaker 5: be vaccinated, and what is good, what is bad, what's wrong? 230 00:12:33,679 --> 00:12:37,120 Speaker 5: What's malpractice? I would play give you a more nuanced answer. 231 00:12:37,440 --> 00:12:40,600 Speaker 5: I would say that voluntarily, it has to be voluntary 232 00:12:41,040 --> 00:12:43,199 Speaker 5: that at the time, in twenty twenty and I've been 233 00:12:43,240 --> 00:12:46,320 Speaker 5: seventy five and not infected, I probably would have chosen 234 00:12:46,480 --> 00:12:49,520 Speaker 5: to go and get vaccinated. In the end, the risks 235 00:12:49,520 --> 00:12:52,480 Speaker 5: of the vaccine if you're seventy five versus the risk 236 00:12:52,520 --> 00:12:55,640 Speaker 5: of the disease, I think the risks of the vaccine 237 00:12:55,640 --> 00:12:57,760 Speaker 5: are less than the risk of the disease. But if 238 00:12:57,800 --> 00:13:00,840 Speaker 5: you ask me for your fifteen year old, say the opposite. 239 00:13:00,840 --> 00:13:03,800 Speaker 5: I would say the risks of the disease are almost nonexistent, 240 00:13:04,240 --> 00:13:08,920 Speaker 5: and that the real risks of an inflammation of the heart, cardiomyopathy, 241 00:13:09,120 --> 00:13:12,640 Speaker 5: mild cardide is all of those things is more significant 242 00:13:13,040 --> 00:13:16,320 Speaker 5: with the vaccine than the disease. And I absolutely think 243 00:13:16,360 --> 00:13:20,160 Speaker 5: it's malpractice to force or to course or to pressure 244 00:13:20,320 --> 00:13:23,360 Speaker 5: kids into getting vaccinated. In the middle, it's sort of 245 00:13:23,400 --> 00:13:26,320 Speaker 5: a middle question. If you're thirty five, forty five, fifty five, 246 00:13:26,400 --> 00:13:28,960 Speaker 5: and you're thin, athletic and in good shape and don't 247 00:13:29,000 --> 00:13:31,000 Speaker 5: have a lot of diseases, I think you could go 248 00:13:31,080 --> 00:13:35,440 Speaker 5: either way. I probably myself. I didn't get vaccinated, but 249 00:13:35,520 --> 00:13:37,640 Speaker 5: I got COVID like in March and I also didn't 250 00:13:37,640 --> 00:13:39,199 Speaker 5: get sick at all, but I didn't show that I 251 00:13:39,280 --> 00:13:41,600 Speaker 5: had antibodies, and I knew that i'd have a disease. 252 00:13:42,040 --> 00:13:43,000 Speaker 5: I chose you got it. 253 00:13:43,080 --> 00:13:46,280 Speaker 2: You got it very early, and we're very public about yeah. 254 00:13:46,040 --> 00:13:48,280 Speaker 5: And I chose not to get vaccinated. But I can't 255 00:13:48,320 --> 00:13:50,400 Speaker 5: tell you with one hundred percent certainty that I wouldn't 256 00:13:50,440 --> 00:13:53,800 Speaker 5: have gotten vaccinated. I'm sixty sixty one years old. I'm 257 00:13:53,800 --> 00:13:57,040 Speaker 5: in pretty good shape, but I you know, I definitely 258 00:13:57,040 --> 00:13:59,839 Speaker 5: wouldn't now, because the thing is, you know, there's a 259 00:13:59,880 --> 00:14:02,400 Speaker 5: new strain of it coming out every couple of months. 260 00:14:02,679 --> 00:14:04,880 Speaker 5: What we have found is that we all have immunity 261 00:14:04,920 --> 00:14:07,040 Speaker 5: to this thing now, at least most of you have some, 262 00:14:07,559 --> 00:14:10,640 Speaker 5: and the disease has mutated to become less dangerous over time. 263 00:14:10,960 --> 00:14:14,360 Speaker 5: So mandating it now is absolutely against the science, really 264 00:14:14,400 --> 00:14:17,480 Speaker 5: for anybody, and I wish the CDC would be more honest. 265 00:14:18,160 --> 00:14:20,920 Speaker 5: Over ninety percent of people over sixty five did get 266 00:14:20,960 --> 00:14:23,760 Speaker 5: vaccinated at least two vaccines. Most of them have had 267 00:14:23,800 --> 00:14:26,240 Speaker 5: COVID at least twice. Now they should look at the 268 00:14:26,240 --> 00:14:29,280 Speaker 5: statistics and say, well, if you've been vaccinated twice and 269 00:14:29,320 --> 00:14:31,400 Speaker 5: you've had COVID, twice. What is the chance that you 270 00:14:31,480 --> 00:14:33,400 Speaker 5: go to a hospital with a new infection or you 271 00:14:33,480 --> 00:14:36,360 Speaker 5: die from COVID? I think the answer is zero. But 272 00:14:36,480 --> 00:14:39,320 Speaker 5: instead we have these people acting like they're the marketing 273 00:14:39,360 --> 00:14:43,640 Speaker 5: department profiser, you know, mandating new things, advising new vaccines 274 00:14:43,680 --> 00:14:46,480 Speaker 5: every three months. And you're not pro science. It's actually 275 00:14:46,560 --> 00:14:49,040 Speaker 5: anti science to say stuff like that. Give us the 276 00:14:49,040 --> 00:14:51,800 Speaker 5: statistics and let us make a decision when you tell 277 00:14:51,880 --> 00:14:52,400 Speaker 5: us the truth. 278 00:14:52,480 --> 00:14:54,200 Speaker 1: Let me ask you a question, as I'm out of 279 00:14:54,200 --> 00:14:55,800 Speaker 1: time this say, do you have a couple of more minutes? 280 00:14:55,880 --> 00:14:57,880 Speaker 2: I got a couple more questions for you. Do you mind? 281 00:14:58,240 --> 00:14:58,480 Speaker 6: Sure? 282 00:14:58,680 --> 00:15:01,360 Speaker 1: All right, we'll continue more with and doctor ram Paul. 283 00:15:01,760 --> 00:15:03,240 Speaker 1: His book By the way, if you haven't read it, 284 00:15:03,240 --> 00:15:05,800 Speaker 1: we'll put it up on Hannity dot com. It's on 285 00:15:05,840 --> 00:15:08,840 Speaker 1: Amazon dot com bookstores around the country, Deception, The Great 286 00:15:08,880 --> 00:15:12,000 Speaker 1: COVID cover Up. In light of Puci's testimony yesterday, I 287 00:15:12,040 --> 00:15:15,080 Speaker 1: want to continue. I have questions about bird flu. I 288 00:15:15,120 --> 00:15:19,600 Speaker 1: have questions about natural immunity. I think they're very crucial 289 00:15:19,640 --> 00:15:22,320 Speaker 1: that we learn our lesson here. Alright, twenty five downs 290 00:15:22,360 --> 00:15:23,440 Speaker 1: to the top of the hour. We'll get to your 291 00:15:23,520 --> 00:15:25,720 Speaker 1: calls here in a minute. Eight hundred and nine foot 292 00:15:25,760 --> 00:15:26,960 Speaker 1: one Sean, if you want to be a part of 293 00:15:26,960 --> 00:15:29,280 Speaker 1: the program, we only have a couple more minutes. Doctor Rampaul, 294 00:15:29,440 --> 00:15:31,440 Speaker 1: Senator Ram Paul Kentucky has to run. 295 00:15:32,560 --> 00:15:33,240 Speaker 2: He was right. 296 00:15:33,600 --> 00:15:38,440 Speaker 1: He was villainized and demonized and smeared and slandered on 297 00:15:38,520 --> 00:15:42,200 Speaker 1: the issue of COVID all throughout the pandemic because he taught, 298 00:15:42,280 --> 00:15:46,360 Speaker 1: actually believed in natural immunity, had questions that nobody wanted 299 00:15:46,400 --> 00:15:51,040 Speaker 1: to answer about the emergency authorization use of what was 300 00:15:51,120 --> 00:15:57,440 Speaker 1: new technology, the mRNA vaccine that they put out and 301 00:15:57,720 --> 00:16:01,800 Speaker 1: villainized and demonized and smeared, slandered, you know, because he 302 00:16:01,920 --> 00:16:05,920 Speaker 1: dared to talk about the origins of the COVID nineteen virus. 303 00:16:05,960 --> 00:16:07,440 Speaker 1: And he's now been able to get a lot of 304 00:16:07,480 --> 00:16:10,640 Speaker 1: evidence that chronicles he was dead on right, that there 305 00:16:10,760 --> 00:16:13,960 Speaker 1: was a great COVID cover up and a lot of deception. 306 00:16:15,040 --> 00:16:17,680 Speaker 1: And that's the name of his book, It's called Deception, 307 00:16:17,800 --> 00:16:20,200 Speaker 1: the Great COVID cover Up. And we heard from doctor 308 00:16:20,240 --> 00:16:24,120 Speaker 1: Fauci yesterday and I just it infuriates me, you know. 309 00:16:24,240 --> 00:16:27,960 Speaker 1: Now the NIH finally admits, oh yeah, we were kind 310 00:16:28,000 --> 00:16:30,520 Speaker 1: of wrong about the origins of COVID when we know 311 00:16:30,680 --> 00:16:33,520 Speaker 1: damn well, they knew at the time they were paniced. 312 00:16:33,520 --> 00:16:36,200 Speaker 1: Emails that he chronicles in his book. How panic were 313 00:16:36,240 --> 00:16:40,120 Speaker 1: those emails, by the way on and how early into 314 00:16:40,160 --> 00:16:44,040 Speaker 1: the pandemic did they recognize that they themselves likely funded 315 00:16:44,080 --> 00:16:44,840 Speaker 1: it with our money. 316 00:16:45,360 --> 00:16:48,800 Speaker 5: Within two weeks of the virus being announced in China, 317 00:16:49,000 --> 00:16:52,640 Speaker 5: it was sequenced January eleventh, two weeks later. There's emails 318 00:16:52,640 --> 00:16:54,960 Speaker 5: that go on till three in the morning with Falci 319 00:16:55,040 --> 00:17:00,720 Speaker 5: exchanging emails. The first emails originate on that day, say, hey, 320 00:17:00,760 --> 00:17:03,240 Speaker 5: this is the gain of function research that the NIH 321 00:17:03,280 --> 00:17:06,119 Speaker 5: funded over there. We're not sure how it happened because 322 00:17:06,160 --> 00:17:09,480 Speaker 5: it never went through the safety committee. Is this they 323 00:17:09,600 --> 00:17:12,480 Speaker 5: knew from day one? And they also knew because this 324 00:17:12,680 --> 00:17:15,320 Speaker 5: was tens of millions of dollars, not only just through 325 00:17:15,320 --> 00:17:18,439 Speaker 5: eco Health but the state department funds. These people are 326 00:17:18,480 --> 00:17:21,840 Speaker 5: go looking for viruses hundreds of feet underground where they 327 00:17:21,880 --> 00:17:24,640 Speaker 5: would never be exposed to humans, take them out from 328 00:17:24,680 --> 00:17:27,200 Speaker 5: these batcaves, deep in the bat caves, and then take 329 00:17:27,240 --> 00:17:30,560 Speaker 5: them to major metropolitan areas. And you have to yourself 330 00:17:30,720 --> 00:17:36,440 Speaker 5: ask yourself, just in general, there's more coronaviruses housed in Wuhan, China, 331 00:17:36,480 --> 00:17:38,840 Speaker 5: than anywhere in the world. There are no bats that 332 00:17:38,920 --> 00:17:41,000 Speaker 5: have the disease that are native to that area. They're 333 00:17:41,040 --> 00:17:43,480 Speaker 5: eight to ten hours away. How do we just happen 334 00:17:43,520 --> 00:17:46,080 Speaker 5: to get a pandemic in the same city that has 335 00:17:46,119 --> 00:17:49,160 Speaker 5: more coronaviruses in a lab than any place in the world. 336 00:17:49,160 --> 00:17:51,520 Speaker 5: The coincidence of that would have to be extraordinary. 337 00:17:52,320 --> 00:17:54,920 Speaker 1: I just think it was just a cover up because 338 00:17:54,960 --> 00:17:56,640 Speaker 1: they didn't want to be found out. And I think, 339 00:17:56,720 --> 00:17:58,320 Speaker 1: you know it's taken this long to get to the 340 00:17:58,359 --> 00:18:01,720 Speaker 1: bottom of it. Let me ask you this question. There 341 00:18:01,840 --> 00:18:06,800 Speaker 1: was another vaccine and nobody ever talks about it, and 342 00:18:06,359 --> 00:18:10,639 Speaker 1: it was using the old style vaccination process, and that 343 00:18:10,800 --> 00:18:13,920 Speaker 1: was the Johnson and Johnson shot. And I never really 344 00:18:13,960 --> 00:18:18,959 Speaker 1: heard much or saw much research about whether or not 345 00:18:19,080 --> 00:18:23,560 Speaker 1: that was less damaging than the new technology moderna Pfizer 346 00:18:23,800 --> 00:18:26,399 Speaker 1: m RNA technology vaccine. 347 00:18:26,640 --> 00:18:27,920 Speaker 2: Have you seen anything on it. 348 00:18:28,920 --> 00:18:31,440 Speaker 5: I think the main thing was in effectiveness on all 349 00:18:31,480 --> 00:18:35,320 Speaker 5: of them, because they're trying to immunize you to something 350 00:18:35,359 --> 00:18:37,520 Speaker 5: on the S protein. The S protein is on the 351 00:18:37,560 --> 00:18:39,840 Speaker 5: outer part, you know, when they draw the virus as 352 00:18:39,880 --> 00:18:41,120 Speaker 5: all these little globular By. 353 00:18:41,080 --> 00:18:43,800 Speaker 2: The way, is this the spike protein. Yeah, that we're 354 00:18:43,840 --> 00:18:44,320 Speaker 2: talking about. 355 00:18:44,400 --> 00:18:47,439 Speaker 5: Yeah, it's on the outside. It helps the virus to 356 00:18:47,440 --> 00:18:49,960 Speaker 5: gain entry into your cells, so that what they do 357 00:18:50,000 --> 00:18:52,159 Speaker 5: is they take protein from that if they want to 358 00:18:52,160 --> 00:18:54,760 Speaker 5: make a traditional antibody, or they take the virus and 359 00:18:54,840 --> 00:18:57,080 Speaker 5: kill it and then they inject it into you. And 360 00:18:57,080 --> 00:19:00,600 Speaker 5: that's a traditional vaccine. But even traditional back scenes don't 361 00:19:00,640 --> 00:19:03,800 Speaker 5: work very well because what coronavirus is famous for is 362 00:19:03,880 --> 00:19:07,080 Speaker 5: it it adapts. So what you do is the vaccine 363 00:19:07,080 --> 00:19:10,120 Speaker 5: wipes out all of the variety that is susceptible to it. 364 00:19:10,359 --> 00:19:12,360 Speaker 5: But let's say one out of one hundred is not 365 00:19:12,680 --> 00:19:14,360 Speaker 5: that one out of one hundred grows to be one 366 00:19:14,440 --> 00:19:18,159 Speaker 5: hundred within days, and so you have to because you 367 00:19:18,160 --> 00:19:20,640 Speaker 5: don't eliminate one hundred percent of it, and one mutation 368 00:19:20,840 --> 00:19:23,439 Speaker 5: is out there, it then invacts somebody and grows to 369 00:19:23,480 --> 00:19:30,680 Speaker 5: it extraordinarily quickly, and so coronavirus just adapts too quickly. 370 00:19:30,960 --> 00:19:33,080 Speaker 5: And that's why you don't have a vaccine for the cold. 371 00:19:33,480 --> 00:19:35,960 Speaker 5: It's also why vaccines for the flu haven't worked as 372 00:19:35,960 --> 00:19:36,480 Speaker 5: well either. 373 00:19:37,000 --> 00:19:40,320 Speaker 1: You said something earlier that really kind of alarmed me, 374 00:19:40,400 --> 00:19:42,719 Speaker 1: and that is that you are pretty confident we're going 375 00:19:42,760 --> 00:19:46,919 Speaker 1: to see another pandemic in our lifetime. All right, Senator, 376 00:19:46,960 --> 00:19:49,199 Speaker 1: we're about the same age. I really don't want to 377 00:19:49,200 --> 00:19:52,240 Speaker 1: live through this hell again. Why are you so confident 378 00:19:52,320 --> 00:19:55,840 Speaker 1: that's likely? And is this maybe related to or are 379 00:19:55,840 --> 00:19:59,360 Speaker 1: we looking at the possibility the bird flu which we've 380 00:19:59,400 --> 00:20:01,320 Speaker 1: been reading a lot lot about recently, is that going 381 00:20:01,359 --> 00:20:02,200 Speaker 1: to be the next one. 382 00:20:02,520 --> 00:20:04,840 Speaker 5: The reason I'm worried that it's going to happen again, 383 00:20:04,960 --> 00:20:08,280 Speaker 5: and others like Robert Redfield, who was a CDC director 384 00:20:08,359 --> 00:20:11,840 Speaker 5: under who's a virologist and was the CDC director under Trump, 385 00:20:11,880 --> 00:20:14,399 Speaker 5: were worried about this as well, is because we're doing 386 00:20:14,400 --> 00:20:18,000 Speaker 5: this gain of function, dangerous research, creating viruses that don't 387 00:20:18,000 --> 00:20:21,640 Speaker 5: exist in nature in dozens of sites in the United States, 388 00:20:22,000 --> 00:20:25,479 Speaker 5: but in hundreds of sites around the world, and so 389 00:20:25,960 --> 00:20:28,320 Speaker 5: they are doing this research. We're going to have another 390 00:20:28,400 --> 00:20:32,399 Speaker 5: accident because man is fallible, man is imperfect, Our labs 391 00:20:32,400 --> 00:20:36,080 Speaker 5: are imperfect, and despite the best of intentions, accidents will happen, 392 00:20:36,200 --> 00:20:39,000 Speaker 5: have happened and are going again. So I do worry 393 00:20:39,040 --> 00:20:40,560 Speaker 5: about it. That's all. We have to get it right 394 00:20:40,600 --> 00:20:43,439 Speaker 5: this time. We should quit funding this research, but we 395 00:20:43,560 --> 00:20:45,440 Speaker 5: need to be alarmed by people who want to take 396 00:20:45,520 --> 00:20:48,080 Speaker 5: something like the av and flu and make it more 397 00:20:48,080 --> 00:20:51,520 Speaker 5: infectious to mammals. See, this was the first thing that 398 00:20:51,640 --> 00:20:54,359 Speaker 5: set off the debate. In twenty ten in the Netherlands, 399 00:20:54,400 --> 00:20:59,120 Speaker 5: a scientists mutated on purpose the av and flu and 400 00:20:59,119 --> 00:21:02,480 Speaker 5: infected mammals with it, and all of a sudden people went, man, 401 00:21:02,560 --> 00:21:05,440 Speaker 5: we shouldn't even publish that because terrorists will read about 402 00:21:05,440 --> 00:21:08,200 Speaker 5: this and they will learn how to do this. And 403 00:21:08,240 --> 00:21:11,520 Speaker 5: so there was a debate ten years before COVID took 404 00:21:11,600 --> 00:21:14,120 Speaker 5: off in his country. And there are many great scientists. 405 00:21:14,200 --> 00:21:18,640 Speaker 5: Richard E. Bright is a molecular pathologist or biologist at Rutgers. 406 00:21:19,040 --> 00:21:21,600 Speaker 5: He's been fighting with Fauci for twenty years over this, 407 00:21:21,840 --> 00:21:24,639 Speaker 5: saying that Fauci is the wild wild West and is 408 00:21:24,680 --> 00:21:27,000 Speaker 5: going to kill us all if we're not careful, and 409 00:21:27,080 --> 00:21:31,400 Speaker 5: he has makes very good scientific arguments. He'd be worth interviewing, actually, 410 00:21:31,760 --> 00:21:33,320 Speaker 5: but we're bringing him in. We're going to have a 411 00:21:33,320 --> 00:21:35,640 Speaker 5: committee hearing in two weeks to talk about the origins. 412 00:21:35,680 --> 00:21:37,879 Speaker 5: He will be there and a scientist by the name 413 00:21:37,920 --> 00:21:40,439 Speaker 5: of Stephen Quay will be in there, and we'll be 414 00:21:40,480 --> 00:21:43,560 Speaker 5: talking about the scientific evidence that this came from the lab, 415 00:21:43,920 --> 00:21:46,679 Speaker 5: and also about legislation to try to prevent this from 416 00:21:46,720 --> 00:21:47,399 Speaker 5: happening again. 417 00:21:48,200 --> 00:21:51,440 Speaker 1: Why would we stupidly be continuing to fund this. This 418 00:21:51,480 --> 00:21:52,240 Speaker 1: is insanity. 419 00:21:52,920 --> 00:21:53,320 Speaker 2: Senator. 420 00:21:53,359 --> 00:21:56,639 Speaker 1: I know you got another interview you got to run to. 421 00:21:56,960 --> 00:21:59,679 Speaker 1: I appreciate the extra time he gave us, and I 422 00:21:59,720 --> 00:22:03,240 Speaker 1: also appreciate you being willing to courageously speak out at 423 00:22:03,240 --> 00:22:06,240 Speaker 1: a time when very few were and and get out 424 00:22:06,320 --> 00:22:09,560 Speaker 1: that what ended up being the truth. We appreciated Senator 425 00:22:09,600 --> 00:22:13,800 Speaker 1: Ram Paul his book Deception, the Great COVID Coverupanity dot com, 426 00:22:13,880 --> 00:22:17,359 Speaker 1: Amazon dot com, bookstores around the country. You need to 427 00:22:17,440 --> 00:22:21,119 Speaker 1: read this because you need to be informed. God forbid 428 00:22:21,160 --> 00:22:24,639 Speaker 1: this ever happens again. Thank you, senator, appreciate it. All right, 429 00:22:24,680 --> 00:22:26,920 Speaker 1: let's get to our busy phones. Eight hundred and ninety 430 00:22:26,960 --> 00:22:29,320 Speaker 1: four one Sean, if you want to join us. Frank 431 00:22:29,440 --> 00:22:32,600 Speaker 1: in Ohio, Frank, Hey, how are you glad you called? 432 00:22:33,359 --> 00:22:33,679 Speaker 7: Hello? 433 00:22:34,359 --> 00:22:34,919 Speaker 2: What's going on? 434 00:22:34,960 --> 00:22:35,120 Speaker 7: Man? 435 00:22:35,160 --> 00:22:38,879 Speaker 6: How are you doing good? Sean? Longtime listener? Hey, I 436 00:22:39,000 --> 00:22:42,560 Speaker 6: was when I was watching Biden with that wicked grin. 437 00:22:43,000 --> 00:22:45,159 Speaker 6: I thought came over to me as to a potential 438 00:22:45,240 --> 00:22:50,920 Speaker 6: scenario that they may be playing, and I just wanted 439 00:22:50,920 --> 00:22:52,919 Speaker 6: to get it over, you know, say something about it, 440 00:22:52,960 --> 00:22:56,600 Speaker 6: because the sooner you know they're discovered. If it's what's 441 00:22:56,640 --> 00:22:59,439 Speaker 6: going on, the better to be a dealt with. But 442 00:22:59,560 --> 00:23:03,919 Speaker 6: the scenario goes like this that this trial for Hunter Biden, 443 00:23:04,119 --> 00:23:07,119 Speaker 6: the jury does convict him and they give him a 444 00:23:07,160 --> 00:23:11,920 Speaker 6: harsh sentence. The reason being is to prove that they 445 00:23:11,960 --> 00:23:14,800 Speaker 6: are a fair justice system. 446 00:23:15,280 --> 00:23:16,360 Speaker 7: This will I. 447 00:23:16,280 --> 00:23:17,280 Speaker 2: Want to know what I think. 448 00:23:17,520 --> 00:23:20,439 Speaker 1: I think the odds are pretty high that he's not 449 00:23:20,480 --> 00:23:23,320 Speaker 1: going to get convicted, and if he does get convicted, 450 00:23:23,359 --> 00:23:27,040 Speaker 1: I think he'll get a reduced sentence based on mitigating circumstances. 451 00:23:27,040 --> 00:23:28,040 Speaker 2: If they're able to do that. 452 00:23:28,840 --> 00:23:31,840 Speaker 6: Yeah, I mean very probable. You know, you know, I 453 00:23:31,880 --> 00:23:34,960 Speaker 6: just have a scenario. But the reason I'm thinking that 454 00:23:34,960 --> 00:23:38,400 Speaker 6: they would give him a harsh sentence is because then 455 00:23:38,560 --> 00:23:42,040 Speaker 6: they could set it up to give Trump a harsh 456 00:23:42,119 --> 00:23:45,160 Speaker 6: sentence as well and say, look, we're just being fair 457 00:23:45,200 --> 00:23:46,760 Speaker 6: about everything, and they're really not. 458 00:23:46,920 --> 00:23:47,920 Speaker 7: But that's the setup. 459 00:23:48,160 --> 00:23:50,920 Speaker 6: And the reason why I'm thinking that too, is because 460 00:23:51,160 --> 00:23:54,280 Speaker 6: they know that Biden is pretty much played out for him. 461 00:23:54,359 --> 00:23:56,639 Speaker 6: They know that they need to get moving. I'm getting 462 00:23:56,640 --> 00:23:59,920 Speaker 6: somebody else in there, and as soon as they do that, 463 00:24:00,200 --> 00:24:04,119 Speaker 6: the better. And again with someone like Trump having to 464 00:24:04,119 --> 00:24:06,640 Speaker 6: go to jail wasting a lot more time on their part. 465 00:24:08,040 --> 00:24:10,000 Speaker 6: You know, they could actually be a couple of steps 466 00:24:10,000 --> 00:24:13,000 Speaker 6: ahead in the chess game here. And that's what I 467 00:24:13,040 --> 00:24:16,919 Speaker 6: was thinking, was that they you know, these people you know, 468 00:24:17,040 --> 00:24:20,040 Speaker 6: to me the controllers of Biden, because it's not Biden, 469 00:24:20,080 --> 00:24:23,240 Speaker 6: it's it's whoever's above him telling him what to do. 470 00:24:23,840 --> 00:24:25,679 Speaker 6: You know, they have no mercy, They have no mercy 471 00:24:25,720 --> 00:24:28,320 Speaker 6: for their own people. But the bottom line is is 472 00:24:28,359 --> 00:24:32,040 Speaker 6: what they you know, when they're done, when Biden is spent, 473 00:24:33,359 --> 00:24:35,280 Speaker 6: they don't need him anymore. They could care less about 474 00:24:35,320 --> 00:24:39,240 Speaker 6: the entire family. And you know, again they need to 475 00:24:39,320 --> 00:24:42,160 Speaker 6: let him all by himself, get rid of himself. By 476 00:24:42,480 --> 00:24:45,480 Speaker 6: You can imagine the emotional reaction he would have if 477 00:24:45,480 --> 00:24:47,040 Speaker 6: they did find him guilty. And all of a sudden 478 00:24:47,080 --> 00:24:49,160 Speaker 6: he starts seeing the cars that are stacked against him, 479 00:24:49,960 --> 00:24:50,520 Speaker 6: and that's. 480 00:24:50,359 --> 00:24:53,320 Speaker 1: We're all going to see what happens. It's only one 481 00:24:53,359 --> 00:24:56,200 Speaker 1: hundred and fifty three days away, and it's a pretty 482 00:24:56,240 --> 00:25:00,560 Speaker 1: scary scenario. And you know, let's let's just watch this unfold. 483 00:25:00,720 --> 00:25:02,919 Speaker 1: And you know, but to have a jury that is 484 00:25:02,960 --> 00:25:06,440 Speaker 1: that sympathetic cowards addiction, which by the way, I am too, 485 00:25:06,600 --> 00:25:09,520 Speaker 1: but you know, I'll tell you. The best thing that 486 00:25:10,040 --> 00:25:13,160 Speaker 1: Hunter Biden has going for He's got a great attorney. 487 00:25:13,200 --> 00:25:15,919 Speaker 1: His name is Abbi Loaths. Very few good attorneys I'm 488 00:25:16,000 --> 00:25:19,440 Speaker 1: in this country at that level, and he's the one 489 00:25:19,440 --> 00:25:21,560 Speaker 1: that got you know, I'm not sure if he was 490 00:25:21,600 --> 00:25:24,600 Speaker 1: involved in Edwards, but he certainly was involved in Menendez. 491 00:25:24,680 --> 00:25:28,120 Speaker 1: His first trial is involved in a second trial. And 492 00:25:29,200 --> 00:25:32,200 Speaker 1: I'm just telling you it's a friend, you know. Ari 493 00:25:32,320 --> 00:25:35,040 Speaker 1: Fleischer said this last night, and he said it perfectly. 494 00:25:35,560 --> 00:25:38,080 Speaker 1: He goes justice in America. I really want to believe 495 00:25:38,160 --> 00:25:41,199 Speaker 1: that we have, you know, a fair justice system, and 496 00:25:41,200 --> 00:25:43,880 Speaker 1: he goes. But more and more, what I see is 497 00:25:44,240 --> 00:25:46,199 Speaker 1: justice is going to be based on the venue in 498 00:25:46,240 --> 00:25:50,240 Speaker 1: which you are tried and whether or not politically it 499 00:25:50,320 --> 00:25:53,119 Speaker 1: favors you and the judge that you have, and whether 500 00:25:53,160 --> 00:25:57,159 Speaker 1: the judge stands politically. And that's the sad reality is 501 00:25:57,280 --> 00:26:02,080 Speaker 1: now we have politicized and weaponized justice in this country. Anyway, 502 00:26:02,119 --> 00:26:05,080 Speaker 1: my friend, appreciate your call. Eight hundred ninety four one, Shawn. 503 00:26:06,480 --> 00:26:08,640 Speaker 1: All right, let's get to our busy phones. Eight hundred 504 00:26:08,760 --> 00:26:10,760 Speaker 1: ninety four one, Seawan. If you want to be a 505 00:26:10,880 --> 00:26:13,040 Speaker 1: part of the program. Paul in the Great State of 506 00:26:13,119 --> 00:26:14,760 Speaker 1: Georgia says, Paul, you're a trucker. 507 00:26:15,119 --> 00:26:16,640 Speaker 2: How are you, my friend? What's going on? 508 00:26:16,920 --> 00:26:17,720 Speaker 7: Are you doing? Sir? 509 00:26:18,640 --> 00:26:20,359 Speaker 2: I can barely hear you. What'd you say? 510 00:26:21,040 --> 00:26:24,000 Speaker 7: How is that? Yes, sir? Yes, sir? Are dmit trucker yourself? 511 00:26:24,640 --> 00:26:26,680 Speaker 2: Yeah? Breaker one nine? What's going on? Brother? 512 00:26:26,720 --> 00:26:29,720 Speaker 7: How are you well? I'm losing money with his Biden 513 00:26:29,760 --> 00:26:33,320 Speaker 7: nomics is what? How it's going? Mister Sean, I'm doing fantastic, 514 00:26:33,720 --> 00:26:37,040 Speaker 7: you know, I'm telling you call a squeers like I 515 00:26:37,080 --> 00:26:40,960 Speaker 7: think the pro campaign is missing a really, really large opportunity. 516 00:26:41,560 --> 00:26:44,320 Speaker 7: When he goes to these events like the MMA or 517 00:26:45,200 --> 00:26:49,160 Speaker 7: any rally or anything like that, they should be registering voters. 518 00:26:49,520 --> 00:26:51,520 Speaker 7: He comes out, it's an honor to be here. I 519 00:26:51,560 --> 00:26:54,080 Speaker 7: love you guys. If you're not register we have people 520 00:26:54,119 --> 00:26:56,200 Speaker 7: out here registering you right now. 521 00:26:56,880 --> 00:26:59,159 Speaker 1: And let's get I don't think it's a bad idea. 522 00:26:59,359 --> 00:27:01,680 Speaker 1: I mean, I don't know, you know, I know Dana White. 523 00:27:01,720 --> 00:27:04,160 Speaker 1: I don't think Dana White would have a problem at all. 524 00:27:04,240 --> 00:27:07,720 Speaker 1: Dana White doesn't give a flying rip about what anybody 525 00:27:07,800 --> 00:27:10,199 Speaker 1: says or thinks about him. Kind of one of the 526 00:27:10,240 --> 00:27:12,280 Speaker 1: reasons I like him a lot. You know, we had 527 00:27:12,359 --> 00:27:14,080 Speaker 1: him on the program, and he said, you know, I 528 00:27:14,080 --> 00:27:17,119 Speaker 1: had all these beers that wanted to sponsor UFC, and 529 00:27:17,160 --> 00:27:20,000 Speaker 1: I went with bud Light because and then he listed 530 00:27:20,040 --> 00:27:23,280 Speaker 1: all the reasons why, all the other work that they 531 00:27:23,320 --> 00:27:26,679 Speaker 1: had done, and then he agreed with me. I hated 532 00:27:26,720 --> 00:27:30,359 Speaker 1: the fact that some dopey idiot in the DEI department 533 00:27:30,400 --> 00:27:34,920 Speaker 1: at a big corporation ends up hurting and getting fired, 534 00:27:35,119 --> 00:27:38,480 Speaker 1: you know, people that rely on high paying career jobs 535 00:27:38,480 --> 00:27:42,679 Speaker 1: at Anheuser Bush because of you know, a campaign that 536 00:27:42,760 --> 00:27:45,879 Speaker 1: never should have been run. And you know, I just 537 00:27:46,080 --> 00:27:48,520 Speaker 1: at that point, I just don't want to hurt those people. 538 00:27:49,119 --> 00:27:51,000 Speaker 1: And I said that from day one, and some people 539 00:27:51,200 --> 00:27:53,160 Speaker 1: were mad at me and disagreed with me. I'm sorry. 540 00:27:53,240 --> 00:27:56,240 Speaker 1: I care about the workers. I care about the route drivers. 541 00:27:56,280 --> 00:27:59,400 Speaker 1: These guys paid a fortune for those bud routes, and 542 00:28:00,080 --> 00:28:03,200 Speaker 1: I don't want to see those people hurt, you. 543 00:28:03,160 --> 00:28:04,960 Speaker 7: Know, And I'll tell you to think words. I agree, 544 00:28:05,400 --> 00:28:08,479 Speaker 7: said Charles. The workers don't have anything to do with it. 545 00:28:08,480 --> 00:28:11,560 Speaker 7: They have to get their job, their retirement, their pensions, 546 00:28:11,840 --> 00:28:16,040 Speaker 7: and concerned about that. Like me, I've got five trucks 547 00:28:16,040 --> 00:28:16,480 Speaker 7: on the road. 548 00:28:17,440 --> 00:28:19,679 Speaker 1: I mean, by the way, the trucking has been in 549 00:28:19,720 --> 00:28:22,560 Speaker 1: a recession one for almost a year now, and the 550 00:28:22,680 --> 00:28:25,280 Speaker 1: rates are have been Are they coming back a little bit? 551 00:28:25,720 --> 00:28:28,720 Speaker 7: Not at all. My my first year when Biden took 552 00:28:28,720 --> 00:28:31,000 Speaker 7: them out and I would bring it home in my truck, 553 00:28:31,000 --> 00:28:33,679 Speaker 7: Alan after experensions one hundred and forty k. 554 00:28:34,400 --> 00:28:35,520 Speaker 2: What's it bringing home now? 555 00:28:35,880 --> 00:28:36,920 Speaker 7: Sixty five thousand? 556 00:28:37,320 --> 00:28:39,720 Speaker 1: And that's after you know, all your repairs, and that's 557 00:28:39,760 --> 00:28:42,680 Speaker 1: after you know, over the road day in and day out. 558 00:28:42,880 --> 00:28:44,800 Speaker 1: I mean, it's a hard life being a trucker. 559 00:28:45,120 --> 00:28:47,240 Speaker 7: Well, and I've got four other trucks on the road 560 00:28:47,520 --> 00:28:49,600 Speaker 7: and my drivers aren't making as much money as they 561 00:28:49,600 --> 00:28:54,680 Speaker 7: did either, So you know, it's a tough situation right 562 00:28:54,720 --> 00:28:56,040 Speaker 7: here for Rachel. 563 00:28:56,440 --> 00:28:58,080 Speaker 1: I don't know if this is by the way, A 564 00:28:58,120 --> 00:29:00,480 Speaker 1: lot of trucking companies have gone under because of this. 565 00:29:01,160 --> 00:29:03,320 Speaker 1: And I know because I have friends in the trucking business, 566 00:29:03,480 --> 00:29:06,360 Speaker 1: and you know, they're barely hanging on. They're just in 567 00:29:06,400 --> 00:29:08,520 Speaker 1: many cases, they're just trying to make a little bit 568 00:29:08,520 --> 00:29:12,080 Speaker 1: of money with each run. I mean, it's rough anyway, 569 00:29:12,120 --> 00:29:15,040 Speaker 1: my friend, I'm you hang in there. I hope that 570 00:29:15,160 --> 00:29:17,960 Speaker 1: ends soon because let me tell you, trucking companies go 571 00:29:18,080 --> 00:29:20,840 Speaker 1: down every store you go to those shelves are going 572 00:29:20,920 --> 00:29:24,280 Speaker 1: to be empty really fast. Uh, and you know we 573 00:29:24,280 --> 00:29:26,640 Speaker 1: don't appreciate the hard work that these over the road 574 00:29:26,680 --> 00:29:29,880 Speaker 1: guys do every day. Thank you, my friend, God bless you.