1 00:00:00,520 --> 00:00:03,240 Speaker 1: Right our two Sean Hannity's show toll free eight hundred 2 00:00:03,360 --> 00:00:05,840 Speaker 1: nine f one Sean if you want to be a 3 00:00:06,200 --> 00:00:11,000 Speaker 1: part of the program. So story breaks this weekend. Scientists 4 00:00:11,000 --> 00:00:16,239 Speaker 1: who work closely with the US funded again NIH money 5 00:00:16,560 --> 00:00:20,720 Speaker 1: funneled through the Eco Alliance to this Wuhan virology lab 6 00:00:20,840 --> 00:00:24,800 Speaker 1: which everybody knew was engaged and gained a function research 7 00:00:24,840 --> 00:00:28,360 Speaker 1: and coronavirus research. Anyway, one of the scientists that work 8 00:00:28,400 --> 00:00:32,680 Speaker 1: closely with this Wuhan lab is now claiming that COVID, 9 00:00:32,760 --> 00:00:37,720 Speaker 1: in fact, as we suspected, was genetically engineered and leaked 10 00:00:37,800 --> 00:00:42,040 Speaker 1: from the facility. Doctor Andrew Hoff, former vice president of 11 00:00:42,080 --> 00:00:45,239 Speaker 1: the Eco Health Alliance, called the pandemic one of the 12 00:00:45,280 --> 00:00:48,640 Speaker 1: greatest cover ups in history and the biggest US intelligence 13 00:00:48,640 --> 00:00:52,760 Speaker 1: failure since nine to eleven. And it is his expert 14 00:00:52,800 --> 00:00:57,720 Speaker 1: opinion and he is a whistleblower that the grant funding 15 00:00:57,800 --> 00:01:02,760 Speaker 1: provided by Anthony Fauci with NIH money to the Eco 16 00:01:02,800 --> 00:01:06,840 Speaker 1: Health Alliance was linked to the creation of COVID, and 17 00:01:06,920 --> 00:01:10,720 Speaker 1: he claims that the NIH funded this game and function research. 18 00:01:10,840 --> 00:01:14,319 Speaker 1: US intelligence community was aware of this and appeared to 19 00:01:14,400 --> 00:01:16,959 Speaker 1: have been involved in the work. That's what he's claiming 20 00:01:17,560 --> 00:01:21,400 Speaker 1: and anyway, this this has been the stress from the 21 00:01:21,480 --> 00:01:26,160 Speaker 1: very beginning. Now we see through emails in early January 22 00:01:26,160 --> 00:01:30,200 Speaker 1: of twenty twenty among high ranking officials. Fauci included in 23 00:01:30,240 --> 00:01:33,920 Speaker 1: the NIH, you know, a panic flurry of emails back 24 00:01:33,959 --> 00:01:37,479 Speaker 1: and forth because they're wondering if whether or not it's 25 00:01:37,480 --> 00:01:40,440 Speaker 1: going to come out that they funded this thing. And 26 00:01:40,480 --> 00:01:43,640 Speaker 1: then ultimately, you know, we have the intercept. They had 27 00:01:43,720 --> 00:01:47,080 Speaker 1: nine hundred pages of documents that were pretty damning, along 28 00:01:47,080 --> 00:01:50,320 Speaker 1: with Project Veritas. And then, of course, and I believe 29 00:01:50,320 --> 00:01:54,640 Speaker 1: it was October certainly the fall of twenty twenty. The 30 00:01:55,080 --> 00:01:57,960 Speaker 1: NIH's own emails confirmed that they knew what was going 31 00:01:58,000 --> 00:02:02,000 Speaker 1: on in this broology lab out When Anthony Faucci was 32 00:02:02,160 --> 00:02:06,160 Speaker 1: asked questions about this, well, for example, he answers no 33 00:02:06,320 --> 00:02:08,240 Speaker 1: when he was asked if he could do anything over 34 00:02:08,360 --> 00:02:11,960 Speaker 1: or do anything differently. And then he said getting vaccinated, 35 00:02:12,160 --> 00:02:16,560 Speaker 1: you know, to denies the COVID opportunity to circulate among us. 36 00:02:17,120 --> 00:02:19,359 Speaker 1: And he also said, if you get vaccinated, you don't 37 00:02:19,360 --> 00:02:23,040 Speaker 1: have to worry about getting infected again. Listen, So, doctor Fauci, 38 00:02:23,040 --> 00:02:25,200 Speaker 1: in our last few minutes, I want to reflect a 39 00:02:25,280 --> 00:02:27,720 Speaker 1: little bit on your career as a whole and look 40 00:02:27,760 --> 00:02:30,000 Speaker 1: ahead a little bit. So first I want to ask you, 41 00:02:31,000 --> 00:02:33,680 Speaker 1: is there a moment of your career that you wish 42 00:02:33,760 --> 00:02:39,920 Speaker 1: you could do over. You know he has me no, 43 00:02:41,120 --> 00:02:44,920 Speaker 1: But you also have a responsibility to society, because if 44 00:02:44,960 --> 00:02:48,160 Speaker 1: you really want to make sure we put this vex, 45 00:02:48,280 --> 00:02:53,120 Speaker 1: this virus, this outbreak in the rearview mirror, we can 46 00:02:53,160 --> 00:02:57,480 Speaker 1: make a contribution by not giving the virus the opportunity 47 00:02:58,160 --> 00:03:03,480 Speaker 1: to circulate among us. And you do that by getting vaccinated. 48 00:03:03,720 --> 00:03:07,280 Speaker 1: If you get vaccinated, after you get infected, your level 49 00:03:07,320 --> 00:03:10,840 Speaker 1: of protection will go sky high, and then you won't 50 00:03:10,880 --> 00:03:14,840 Speaker 1: have to worry about getting infected again. All of which, 51 00:03:14,960 --> 00:03:18,040 Speaker 1: you know, he's been wrong on everything we played last week, 52 00:03:18,080 --> 00:03:20,519 Speaker 1: all the times he said, oh, if you get vaccinated, 53 00:03:20,639 --> 00:03:23,680 Speaker 1: you're never gonna get COVID. Well that didn't last very long. 54 00:03:23,720 --> 00:03:27,280 Speaker 1: The delta variant was the first breakthrough variant. Then it 55 00:03:27,360 --> 00:03:30,440 Speaker 1: was oh, mask don't work, one mask, two masks, no 56 00:03:30,600 --> 00:03:34,200 Speaker 1: mass masculin perpetuity. And you know he's been all over 57 00:03:34,600 --> 00:03:37,800 Speaker 1: the map on all of this. Anyway, Senator Rampaul has 58 00:03:37,840 --> 00:03:41,000 Speaker 1: been a long time warrior in this battle against suppression 59 00:03:41,040 --> 00:03:45,640 Speaker 1: of information from the American people. On many topics. It 60 00:03:45,680 --> 00:03:48,520 Speaker 1: should get interesting in terms of Elon Musk, the new 61 00:03:48,560 --> 00:03:51,000 Speaker 1: owner of Twitter, and what he might reveal as it 62 00:03:51,000 --> 00:03:55,800 Speaker 1: relates to COVID and a cover up of such information. Anyway, 63 00:03:56,080 --> 00:03:58,160 Speaker 1: Senator Rampaul is with us, now, how are you, sir? 64 00:03:59,080 --> 00:04:01,280 Speaker 1: Very good? And when you start to factor in that 65 00:04:01,280 --> 00:04:04,240 Speaker 1: there are going to be more whistleblowers. What about whistleblowers 66 00:04:04,320 --> 00:04:08,640 Speaker 1: from Facebook, from Twitter, from YouTube, all these places where 67 00:04:08,680 --> 00:04:12,880 Speaker 1: there was big government collusion, suppressed speech. What about when 68 00:04:12,920 --> 00:04:15,400 Speaker 1: these people come forward? But the one thing we do 69 00:04:15,440 --> 00:04:18,080 Speaker 1: know about Fauci is that in the hearings when I 70 00:04:18,160 --> 00:04:22,440 Speaker 1: challenged him, he said it repeatedly. He said, I unequivocally 71 00:04:22,480 --> 00:04:28,040 Speaker 1: state that my agency, the nias NIAID, did not fund 72 00:04:28,080 --> 00:04:31,560 Speaker 1: gain a function research in Wuhan. That is provably false. 73 00:04:31,880 --> 00:04:34,720 Speaker 1: And he said it repeatedly, and that is lying under 74 00:04:34,760 --> 00:04:37,360 Speaker 1: oath and he should be prosecuted for it. What's going 75 00:04:37,400 --> 00:04:39,480 Speaker 1: to happen now is there's going to be an investigation 76 00:04:40,240 --> 00:04:43,600 Speaker 1: and he will come forward before Congress under oath and 77 00:04:43,720 --> 00:04:46,560 Speaker 1: he will have to testify under oath. He's already had 78 00:04:46,560 --> 00:04:49,359 Speaker 1: to testify this month under oath when the attorney generals 79 00:04:49,360 --> 00:04:52,560 Speaker 1: of Missouri and Louisiana brought him forward over collusion with 80 00:04:52,640 --> 00:04:55,559 Speaker 1: big tech. But that's just the first of many to come. 81 00:04:56,000 --> 00:05:00,279 Speaker 1: This is a man with unlimited arrogance, unlimited filled to 82 00:05:00,320 --> 00:05:03,680 Speaker 1: tell falsehoods, and ultimately we need to know the truth 83 00:05:03,720 --> 00:05:06,040 Speaker 1: because a million Americans died. And if this came to 84 00:05:06,080 --> 00:05:07,920 Speaker 1: the lab, which I think all of the evidence points 85 00:05:07,920 --> 00:05:11,200 Speaker 1: tours it, it is the greatest error in judgment ever 86 00:05:11,480 --> 00:05:15,360 Speaker 1: of a political or government official to fund this research 87 00:05:15,440 --> 00:05:18,080 Speaker 1: that was so dangerous that ultimately led to the deaths 88 00:05:18,080 --> 00:05:21,400 Speaker 1: of millions of people worldwide. I mean, that was mistake 89 00:05:21,480 --> 00:05:24,840 Speaker 1: number one. Mistake number two is they were wrong on 90 00:05:24,880 --> 00:05:28,680 Speaker 1: their advice the entire time. And anybody that dared take 91 00:05:28,760 --> 00:05:33,200 Speaker 1: a different opinion, you know, even if if you listen 92 00:05:33,240 --> 00:05:37,000 Speaker 1: to doctor Daniel Wallace, you know, the foremost expert in 93 00:05:37,040 --> 00:05:41,599 Speaker 1: the country that has been dispensing HCQ, for example, for 94 00:05:41,720 --> 00:05:44,680 Speaker 1: over forty years and as the largest lupus practice in 95 00:05:44,720 --> 00:05:47,640 Speaker 1: the entire country, and he said the risk of taking 96 00:05:47,680 --> 00:05:51,599 Speaker 1: such is nil. And anyone that ever dared suggests that 97 00:05:51,640 --> 00:05:55,680 Speaker 1: it might work, you know, was excoriated publicly. And then 98 00:05:55,760 --> 00:05:58,279 Speaker 1: studies have since come out saying, hey, if you took 99 00:05:58,279 --> 00:06:01,280 Speaker 1: it early, if it could mitigate a lot of symptoms 100 00:06:01,279 --> 00:06:04,160 Speaker 1: with no risk to the patient. Well, you know, I 101 00:06:04,200 --> 00:06:06,080 Speaker 1: can't say for certain that it works. For what I 102 00:06:06,080 --> 00:06:09,120 Speaker 1: can tell you this is I'm an optimologist. I practiced 103 00:06:09,160 --> 00:06:13,360 Speaker 1: for twenty years. The most common treatment for rheumatory arthritis 104 00:06:13,520 --> 00:06:16,599 Speaker 1: is called plaquinil, but that's the name brand for hydroxy 105 00:06:16,680 --> 00:06:20,360 Speaker 1: choroquin and so I would see people throughout over twenty 106 00:06:20,440 --> 00:06:24,040 Speaker 1: years because there's a possible ocular side effect. Over years, 107 00:06:24,040 --> 00:06:26,240 Speaker 1: I saw thousands of patients and never saw one of 108 00:06:26,279 --> 00:06:28,599 Speaker 1: them with the ocular side effect. But also as I 109 00:06:28,640 --> 00:06:30,640 Speaker 1: saw them and talk to the patients, never heard of 110 00:06:30,960 --> 00:06:32,880 Speaker 1: really any of the patients being taken off of the 111 00:06:32,960 --> 00:06:36,680 Speaker 1: hydroxy choral because of cardiac problems. So when they came 112 00:06:36,680 --> 00:06:39,599 Speaker 1: out and said that this was Trump derangement syndrome, they 113 00:06:39,640 --> 00:06:41,680 Speaker 1: didn't like it because Trump was for it. And I'm 114 00:06:41,680 --> 00:06:44,000 Speaker 1: still not telling you today that I conclude that it worked. 115 00:06:44,120 --> 00:06:47,400 Speaker 1: I would conclude this patients and doctors desert. There have 116 00:06:47,440 --> 00:06:50,080 Speaker 1: been studies. I'll get that henry Ford Hospital study is 117 00:06:50,120 --> 00:06:52,400 Speaker 1: one of them. There have been a number of other studies. 118 00:06:52,520 --> 00:06:54,520 Speaker 1: They're not saying it cured people. They're not saying it 119 00:06:54,600 --> 00:06:57,000 Speaker 1: worked for everybody. But the same if you took it early, 120 00:06:57,000 --> 00:06:59,880 Speaker 1: it did mitigate some of the symptoms that people had. 121 00:07:00,080 --> 00:07:02,560 Speaker 1: That's all. That's all. That's the only conclusion I saw. 122 00:07:02,960 --> 00:07:05,279 Speaker 1: Questioned that that information be out there and we should 123 00:07:05,279 --> 00:07:07,480 Speaker 1: study it, and we could have gotten more to the truth. 124 00:07:07,560 --> 00:07:11,480 Speaker 1: But the CDC and FAUCI and all of these bureaucrats, 125 00:07:11,800 --> 00:07:16,280 Speaker 1: they come to these studies with preexisting biases and conclusions, 126 00:07:16,600 --> 00:07:20,480 Speaker 1: and because trumpets it might work, they believe it didn't work. 127 00:07:20,520 --> 00:07:23,760 Speaker 1: It was as simple as sort of childhood reverse psychology. 128 00:07:23,800 --> 00:07:26,240 Speaker 1: They thought, oh, Trump's for it, were against it, and 129 00:07:26,280 --> 00:07:28,320 Speaker 1: so let's make sure that none of the studies come 130 00:07:28,320 --> 00:07:30,760 Speaker 1: out and are honestly treating this. Because you're right, there 131 00:07:30,760 --> 00:07:34,320 Speaker 1: were international studies on ibmactin anidroxy corporin that we're showings 132 00:07:34,320 --> 00:07:37,840 Speaker 1: and benefits. Both of them have anti inflammatory properties. In fact, 133 00:07:38,560 --> 00:07:42,120 Speaker 1: the nih was actually studying whether ivermectin worked. It was 134 00:07:42,160 --> 00:07:46,040 Speaker 1: in actually in one of their phases with their studies, 135 00:07:46,160 --> 00:07:48,480 Speaker 1: but then they dropped it because of lack of enrollment. 136 00:07:48,680 --> 00:07:50,360 Speaker 1: But why do you think you don't get enrollment if 137 00:07:50,360 --> 00:07:53,800 Speaker 1: everybody in government saying it doesn't work. I've never seen 138 00:07:53,800 --> 00:07:55,960 Speaker 1: this study on ivermectin. I have not seen one that 139 00:07:56,000 --> 00:07:58,920 Speaker 1: showed that it was working. It seemed like the gold 140 00:07:59,000 --> 00:08:02,520 Speaker 1: standard there are cutic was monoclonalantibodies, and they're not even 141 00:08:02,560 --> 00:08:05,760 Speaker 1: producing those to anywhere near the level you would think 142 00:08:05,760 --> 00:08:08,520 Speaker 1: they would produce them today, knowing that it is the 143 00:08:09,400 --> 00:08:11,920 Speaker 1: therapeutic a choice, isn't it? The thing we don't really 144 00:08:11,920 --> 00:08:14,120 Speaker 1: know today. There's a really simple question that they have 145 00:08:14,200 --> 00:08:16,360 Speaker 1: the data for, but they probably won't reveal to us 146 00:08:16,360 --> 00:08:19,160 Speaker 1: because they hide the data because they're trying to reflect 147 00:08:19,200 --> 00:08:22,200 Speaker 1: the conclusions. So the one simple question we should ask 148 00:08:22,360 --> 00:08:26,239 Speaker 1: is how lethal is the virus now less people are dying, 149 00:08:26,520 --> 00:08:28,600 Speaker 1: and is it because they have immunity. Some people say 150 00:08:28,640 --> 00:08:32,360 Speaker 1: I've been vaccinated to five times, That's why I didn't die. Maybe, 151 00:08:32,520 --> 00:08:35,440 Speaker 1: or the other countervailing argument is maybe you didn't die 152 00:08:35,480 --> 00:08:38,120 Speaker 1: because the virus is now much less deadly. So you 153 00:08:38,120 --> 00:08:40,280 Speaker 1: could sort all of this out by putting into a 154 00:08:40,360 --> 00:08:43,719 Speaker 1: large database people have had the virus previously, people have 155 00:08:43,800 --> 00:08:47,000 Speaker 1: been vaccinated previously, and then people have not had either, 156 00:08:47,400 --> 00:08:49,400 Speaker 1: and then look at the death rate and compare that 157 00:08:49,440 --> 00:08:52,120 Speaker 1: to the death rate back in twenty twenty. I think 158 00:08:52,160 --> 00:08:54,200 Speaker 1: what you'd find is that the death rate is greatly 159 00:08:54,200 --> 00:08:58,000 Speaker 1: reduced because the current virus, even if you have no immunity, 160 00:08:58,040 --> 00:09:00,960 Speaker 1: no vaccine, and no previous exposure, I believe the current 161 00:09:01,040 --> 00:09:03,880 Speaker 1: virus is much less deadly. But instead you have these 162 00:09:03,920 --> 00:09:05,600 Speaker 1: morons and you have to call them to what they 163 00:09:05,679 --> 00:09:08,880 Speaker 1: are from government heads of different agencies. Well, I've had 164 00:09:08,920 --> 00:09:12,200 Speaker 1: five vaccines and thank god I didn't die when I 165 00:09:12,240 --> 00:09:15,720 Speaker 1: got COVID. Well maybe or maybe you've got the version 166 00:09:15,760 --> 00:09:19,160 Speaker 1: that's not very deadly now. But by telling people five 167 00:09:19,240 --> 00:09:21,439 Speaker 1: vaccines it was good. But next year I'm going to 168 00:09:21,480 --> 00:09:23,480 Speaker 1: have five more and thank god if I get COVID 169 00:09:23,480 --> 00:09:26,240 Speaker 1: next year, all bend vaccinated ten times. We don't know 170 00:09:26,280 --> 00:09:29,120 Speaker 1: if the vaccine is actually having additive effect on that 171 00:09:29,240 --> 00:09:32,680 Speaker 1: because we're not studying what is the value of previous infection. 172 00:09:32,760 --> 00:09:34,839 Speaker 1: We're also not comparing it to people that have had 173 00:09:34,960 --> 00:09:38,440 Speaker 1: neither previous infection nor vaccine to see how well they're 174 00:09:38,480 --> 00:09:41,360 Speaker 1: doing currently with this version of the virus. So we 175 00:09:41,480 --> 00:09:45,240 Speaker 1: need honesty, we need more data, We need more honesty, 176 00:09:45,440 --> 00:09:49,200 Speaker 1: but they have so that they never talk about natural immunity, 177 00:09:49,240 --> 00:09:51,480 Speaker 1: which was an issue you brought up from the beginning, 178 00:09:51,559 --> 00:09:54,560 Speaker 1: or herd immunity and whether or not, we've actually reached 179 00:09:54,679 --> 00:09:57,000 Speaker 1: that point of that level in the country. You actually 180 00:09:57,000 --> 00:09:59,240 Speaker 1: get to a point. It may not be actual herd immunity, 181 00:09:59,240 --> 00:10:01,160 Speaker 1: but you do the took point where the most vulnerable 182 00:10:01,280 --> 00:10:03,760 Speaker 1: have either had it and survived or died. And that's 183 00:10:03,800 --> 00:10:06,080 Speaker 1: not something anybody wants to have happened, but that's kind 184 00:10:06,080 --> 00:10:08,480 Speaker 1: of what happened. If you look at the statistics in 185 00:10:08,480 --> 00:10:11,560 Speaker 1: New York, they're actually very very intriguing. They did a 186 00:10:11,679 --> 00:10:14,079 Speaker 1: terrible job in the beginning, and they had massive death 187 00:10:14,200 --> 00:10:17,400 Speaker 1: rate in New York, particularly among the vulnerable. But it's 188 00:10:17,400 --> 00:10:19,160 Speaker 1: interesting as you look at the next waves, you had 189 00:10:19,240 --> 00:10:22,400 Speaker 1: less and less and less each time. Even before the vaccine, 190 00:10:22,440 --> 00:10:24,840 Speaker 1: the death rate was going down dramatically in New York. 191 00:10:25,120 --> 00:10:28,840 Speaker 1: So no subsequent wave did very well because you did 192 00:10:28,880 --> 00:10:32,800 Speaker 1: reach a level of immunity, particularly among those at risk 193 00:10:33,200 --> 00:10:35,360 Speaker 1: that it did slow the death rate down quite a bit, 194 00:10:35,400 --> 00:10:36,920 Speaker 1: and you saw the death rate going up in some 195 00:10:37,000 --> 00:10:40,040 Speaker 1: of the other places that didn't have the big first wave. 196 00:10:40,520 --> 00:10:43,200 Speaker 1: So as bad as the first wave was, in some ways, 197 00:10:43,280 --> 00:10:46,080 Speaker 1: that did allow enough immunity to be circulating in New 198 00:10:46,160 --> 00:10:49,000 Speaker 1: York that the subsequent waves were not nearly as bad. 199 00:10:49,480 --> 00:10:52,720 Speaker 1: What do you make of Elon Musk and the Twitter 200 00:10:52,760 --> 00:10:56,160 Speaker 1: files that he released on Friday and talked about on Saturday. 201 00:10:56,480 --> 00:10:57,960 Speaker 1: And what do you make of the fact that the 202 00:10:58,040 --> 00:11:01,800 Speaker 1: FBI was warning all of these big tech companies, including 203 00:11:01,840 --> 00:11:07,520 Speaker 1: Twitter and Facebook and others during weekly meetings. You know, 204 00:11:08,080 --> 00:11:10,040 Speaker 1: you got to watch out for these hack and league 205 00:11:10,040 --> 00:11:14,040 Speaker 1: operations and Russian interference. They had weekly meetings with all 206 00:11:14,080 --> 00:11:17,080 Speaker 1: of those companies, which, by the way, it became the 207 00:11:17,240 --> 00:11:21,480 Speaker 1: excuse mechanism used by Twitter and Facebook not to publish 208 00:11:21,480 --> 00:11:24,319 Speaker 1: the Hunter Biden's story. I've told my staff I want 209 00:11:24,320 --> 00:11:26,600 Speaker 1: to know where those meetings take place, and I want 210 00:11:26,600 --> 00:11:28,720 Speaker 1: to ask to be invited to those meetings. I want 211 00:11:28,760 --> 00:11:31,440 Speaker 1: my staff represented. If they're having meetings to collude with 212 00:11:31,520 --> 00:11:34,560 Speaker 1: big tech to censor speech, I want someone in the meetings. 213 00:11:34,600 --> 00:11:37,120 Speaker 1: I want a record of those meetings, because this is 214 00:11:37,280 --> 00:11:41,400 Speaker 1: terrible to have the FBI and government actively getting involved 215 00:11:41,400 --> 00:11:44,160 Speaker 1: in speech. And you know, you watch CNN and it's 216 00:11:44,280 --> 00:11:48,440 Speaker 1: NonStop of this crap about Russians have manipulated the elections. Well, 217 00:11:48,480 --> 00:11:50,800 Speaker 1: guess what, it turns out the FBI has been very 218 00:11:50,840 --> 00:11:53,840 Speaker 1: involved with it, not only in ginning up sort of 219 00:11:53,880 --> 00:11:57,720 Speaker 1: the Russian hoax and saying Trump was somehow associated with Russia, 220 00:11:57,760 --> 00:12:00,040 Speaker 1: which turned out not to be true. They all to 221 00:12:00,200 --> 00:12:02,520 Speaker 1: get it to senators, you know, Senator Ron Johnson. They 222 00:12:02,559 --> 00:12:06,000 Speaker 1: came and leaked to the media that somehow he was 223 00:12:06,080 --> 00:12:10,240 Speaker 1: talking Russian disinformation when he was talking about Hunter Biden's laptop. 224 00:12:10,679 --> 00:12:13,080 Speaker 1: So they leaked that intoest race. He only wins by 225 00:12:13,080 --> 00:12:15,679 Speaker 1: a couple of thousand votes, but his opponents were then 226 00:12:15,800 --> 00:12:18,640 Speaker 1: using what the FBI did, which was leak of private 227 00:12:18,679 --> 00:12:21,080 Speaker 1: meeting where he asked the honest questions about the Hunter 228 00:12:21,120 --> 00:12:25,720 Speaker 1: Biden laptop. And so that's that's FBI getting involved as well. 229 00:12:25,840 --> 00:12:28,040 Speaker 1: So you know what did they do right before this 230 00:12:28,120 --> 00:12:32,600 Speaker 1: last election? They hold back the Hunter Biden laptop. So 231 00:12:32,640 --> 00:12:36,400 Speaker 1: that's also getting involved in our elections as well. So yeah, 232 00:12:36,440 --> 00:12:37,840 Speaker 1: I mean, then they come to us and they say 233 00:12:37,920 --> 00:12:40,080 Speaker 1: we're going to be in charge of disinformation. We're already 234 00:12:40,080 --> 00:12:42,480 Speaker 1: doing it already, and it was like, really you are. 235 00:12:42,760 --> 00:12:46,800 Speaker 1: You are the chief promoter or of disinformation in our country. 236 00:12:47,200 --> 00:12:49,400 Speaker 1: So we've got to get the FBI out of politics, 237 00:12:49,440 --> 00:12:51,000 Speaker 1: and we got to get him out of our elections, 238 00:12:51,040 --> 00:12:52,680 Speaker 1: and we got to get them back to catching bad 239 00:12:52,720 --> 00:12:55,520 Speaker 1: guys with guns, dealing drugs or whatever. Else, but we 240 00:12:55,520 --> 00:12:57,079 Speaker 1: got to get them out of our elections and out 241 00:12:57,080 --> 00:13:00,320 Speaker 1: of our speech. That's two presidential elections in a row 242 00:13:00,360 --> 00:13:02,480 Speaker 1: where they put their thumb on the scale in favor 243 00:13:02,520 --> 00:13:06,440 Speaker 1: of a Democratic candidate. Rightly that they did it for 244 00:13:06,520 --> 00:13:09,320 Speaker 1: Hillary Clinton in twenty sixteen. Not rightly, but they did 245 00:13:09,360 --> 00:13:13,040 Speaker 1: it in twenty sixteen. They used the dirty dossier. We 246 00:13:13,080 --> 00:13:16,040 Speaker 1: now know the FBI offered a million dollars to Christopher 247 00:13:16,080 --> 00:13:19,960 Speaker 1: Steele in early October twenty sixteen if he could corroborate it. 248 00:13:20,040 --> 00:13:22,360 Speaker 1: He couldn't, but they still used it for the bulk 249 00:13:22,400 --> 00:13:26,920 Speaker 1: of information in their FISA applications. It was unverifiable information. 250 00:13:27,120 --> 00:13:30,240 Speaker 1: You would think you'd get in trouble for that. And meanwhile, 251 00:13:30,280 --> 00:13:33,280 Speaker 1: they had the Hunter Biden laptop themselves for nearly a year, 252 00:13:33,720 --> 00:13:38,080 Speaker 1: and they're basically communicating with big tech corporations saying, you 253 00:13:38,120 --> 00:13:41,080 Speaker 1: want to be on the lookout for this fake Russian information. 254 00:13:42,000 --> 00:13:46,000 Speaker 1: And then fifty one intelligence former intelligence people including Clapper 255 00:13:46,080 --> 00:13:49,120 Speaker 1: and Brennan come out with his letters saying, oh, it 256 00:13:49,120 --> 00:13:52,080 Speaker 1: looks like Russian disinformation to me, and it all turned 257 00:13:52,080 --> 00:13:55,240 Speaker 1: out to be true. We're working on legislation that would 258 00:13:55,280 --> 00:13:58,880 Speaker 1: absolutely prohibit the government from colluding with big tech to 259 00:13:58,960 --> 00:14:01,720 Speaker 1: censor speech. It's harder to work on the other half. 260 00:14:01,760 --> 00:14:03,960 Speaker 1: It's harder to regulate big tech and tell them what 261 00:14:04,040 --> 00:14:05,760 Speaker 1: speech they can produce. Because I think there are First 262 00:14:05,760 --> 00:14:09,720 Speaker 1: Amendment problems, but there's no First Amendment problem with regulating government. 263 00:14:10,080 --> 00:14:12,640 Speaker 1: So I want to regulate government in a significant and 264 00:14:12,760 --> 00:14:17,040 Speaker 1: severe way, prohibited from colluding. What we're basing this legislation 265 00:14:17,040 --> 00:14:20,240 Speaker 1: on is basically the First Amendment protected speech. So it's 266 00:14:20,240 --> 00:14:22,520 Speaker 1: a long history of First Amendment cases that have been 267 00:14:22,560 --> 00:14:25,400 Speaker 1: before the Supreme Court, and there is some division. There's 268 00:14:25,440 --> 00:14:28,400 Speaker 1: some speech that you cannot use that directly insides violence, 269 00:14:28,440 --> 00:14:30,840 Speaker 1: and there are different doctrines and cases. We're going to 270 00:14:30,880 --> 00:14:33,880 Speaker 1: try to incorporate that into the law and say that 271 00:14:34,040 --> 00:14:36,760 Speaker 1: the speech that is protected that doesn't evolve violence, it 272 00:14:36,800 --> 00:14:40,840 Speaker 1: doesn't involve this cannot be censored, and the government cannot participate. 273 00:14:41,280 --> 00:14:45,000 Speaker 1: So going to big tech in saying that, because I've 274 00:14:45,000 --> 00:14:48,480 Speaker 1: been telling everybody that will listen that cloth masks don't work. 275 00:14:48,960 --> 00:14:52,400 Speaker 1: If the government thinks that's disinformation, that's protected speech. Because 276 00:14:52,440 --> 00:14:55,080 Speaker 1: that's my opinion, but it's also my opinion based on 277 00:14:55,200 --> 00:14:59,880 Speaker 1: dozens and dozens of randomly controlled trials and scientific studies. 278 00:15:00,760 --> 00:15:04,360 Speaker 1: That is protected speech. That is not speech inciting a 279 00:15:04,440 --> 00:15:07,240 Speaker 1: mob to violence. I'm not asking for Ward to overthrow 280 00:15:07,280 --> 00:15:10,360 Speaker 1: a country. What I'm saying is something that people can 281 00:15:10,360 --> 00:15:12,720 Speaker 1: dispute and they can put facts on the other side, 282 00:15:12,840 --> 00:15:15,240 Speaker 1: but that should not be in the babywook of anything 283 00:15:16,120 --> 00:15:19,760 Speaker 1: that the government can be involved with suppressing. Senator around 284 00:15:19,760 --> 00:15:22,160 Speaker 1: Paul Kentucky, thank you, so I appreciate you being with us. 285 00:15:22,200 --> 00:15:24,120 Speaker 1: Won't come back. We'll hit the phones. They see a 286 00:15:24,120 --> 00:15:28,120 Speaker 1: lot of you want to talk about Twitter. Didn't the 287 00:15:28,200 --> 00:15:32,600 Speaker 1: i RS scandal and the NSA atrocities convince you you 288 00:15:32,720 --> 00:15:37,880 Speaker 1: need a watchdog on Washington with insiders sources. You need 289 00:15:38,040 --> 00:15:41,680 Speaker 1: Hannity every day, all right, twenty five down to the 290 00:15:41,680 --> 00:15:44,280 Speaker 1: top of the hour. The new leader in the US 291 00:15:44,400 --> 00:15:48,640 Speaker 1: House of Representatives for the Democrats, Keem Jeffries, who was 292 00:15:48,720 --> 00:15:53,680 Speaker 1: on ABC this weekend and got challenged on his calling 293 00:15:53,760 --> 00:15:57,600 Speaker 1: he's an election denier. Donald Trump an illegitimate president. Listen, 294 00:15:58,560 --> 00:16:00,720 Speaker 1: you did say the history and will ever except Donald 295 00:16:00,720 --> 00:16:03,120 Speaker 1: Trump is a legitimate president. And the Republicans are making 296 00:16:03,200 --> 00:16:05,880 Speaker 1: quite a big issue out of that. What is your response, Well, 297 00:16:05,920 --> 00:16:10,040 Speaker 1: here's the Republican playbook. Factstone matter, pocrisy not a constraint 298 00:16:10,040 --> 00:16:12,960 Speaker 1: to their behavior, and in many cases they believe that 299 00:16:13,080 --> 00:16:16,960 Speaker 1: shamelessness is a superpower. My view of the situation has 300 00:16:17,000 --> 00:16:21,640 Speaker 1: been pretty clear. I supported the certification of Donald Trump's election. 301 00:16:22,120 --> 00:16:27,200 Speaker 1: I attended his inauguration even though there were many constituents 302 00:16:27,200 --> 00:16:30,720 Speaker 1: and others across the country pushing me and others to 303 00:16:30,880 --> 00:16:33,960 Speaker 1: do otherwise, and found ways to work with the Trump 304 00:16:34,000 --> 00:16:38,720 Speaker 1: administration being the lead Democrat and negotiating historic criminal justice reform. 305 00:16:38,920 --> 00:16:41,760 Speaker 1: That track record speaks for itself. At the same time, 306 00:16:42,000 --> 00:16:46,480 Speaker 1: I will never hesitate in criticizing the former president. I 307 00:16:46,520 --> 00:16:50,200 Speaker 1: think I'm in good company there throughout the world. Okay, 308 00:16:50,280 --> 00:16:53,040 Speaker 1: still didn't answer the question why he was an election 309 00:16:53,120 --> 00:16:57,640 Speaker 1: denier for years after Donald Trump was elected. Only matters 310 00:16:57,680 --> 00:17:00,520 Speaker 1: to the mob of the media. If you're a Republican 311 00:17:00,600 --> 00:17:04,720 Speaker 1: and you you criticize the election system that we currently have, 312 00:17:04,840 --> 00:17:07,919 Speaker 1: which can be improved in terms of integrity greatly. All right, 313 00:17:08,000 --> 00:17:10,760 Speaker 1: let's go to h. Teddy Is in Louisiana. Teddy High, 314 00:17:10,800 --> 00:17:13,480 Speaker 1: how are you glad you called clue Sean. You know 315 00:17:13,520 --> 00:17:16,360 Speaker 1: it occurs to me that Elon must spent forty four 316 00:17:16,520 --> 00:17:18,800 Speaker 1: billion dollars just to get the truth out of what 317 00:17:18,880 --> 00:17:21,360 Speaker 1: happened at Twitter. There's a lot of people that work 318 00:17:21,400 --> 00:17:24,720 Speaker 1: at Facebook, at Google, at YouTube and places like ed 319 00:17:24,760 --> 00:17:27,000 Speaker 1: that are doing the same things that they were doing 320 00:17:27,040 --> 00:17:30,600 Speaker 1: a Twitter and every deplorable, every boom or every I 321 00:17:30,760 --> 00:17:34,720 Speaker 1: think you're you're negative pronoun dound out and we all 322 00:17:34,760 --> 00:17:38,240 Speaker 1: know what they've been doing to us, just as for instance, 323 00:17:38,280 --> 00:17:40,720 Speaker 1: I mean, if you put an American flag on something, 324 00:17:40,760 --> 00:17:43,080 Speaker 1: that take your post down. If you said something about God, 325 00:17:43,119 --> 00:17:45,560 Speaker 1: that take it down. But you know there's you know, 326 00:17:45,600 --> 00:17:49,840 Speaker 1: all this stuff with the government interference is happening in 327 00:17:49,960 --> 00:17:52,199 Speaker 1: all the other places just as well. And when we 328 00:17:52,320 --> 00:17:55,159 Speaker 1: put political things up on their post on their social 329 00:17:55,200 --> 00:17:58,720 Speaker 1: media sites, they get taken down. There are people that 330 00:17:58,760 --> 00:18:02,800 Speaker 1: are working in to in Facebook and places like that 331 00:18:02,800 --> 00:18:05,639 Speaker 1: that just similar to what the ones that were working 332 00:18:05,640 --> 00:18:08,639 Speaker 1: at Twitter, that are not coming forward yet and telling 333 00:18:08,720 --> 00:18:11,400 Speaker 1: us what was going on. But we need them. We 334 00:18:11,440 --> 00:18:13,359 Speaker 1: need those people that are sitting in their office right 335 00:18:13,359 --> 00:18:15,919 Speaker 1: now to listen and say, hey, you know, I have 336 00:18:16,040 --> 00:18:19,680 Speaker 1: some values I'm going to you know, let the world 337 00:18:19,720 --> 00:18:22,960 Speaker 1: know what's been going on and come forward and actually 338 00:18:22,960 --> 00:18:27,000 Speaker 1: give us the information like Elon had to spend forty 339 00:18:27,040 --> 00:18:29,359 Speaker 1: four billion to spend. We shouldn't have to spend that 340 00:18:29,440 --> 00:18:31,040 Speaker 1: to get the truth out what's going on with our 341 00:18:31,080 --> 00:18:34,600 Speaker 1: social media. I'm not sure if that's why I bought Twitter. However, 342 00:18:34,800 --> 00:18:37,520 Speaker 1: him being this transparent, I think is revealing the fact 343 00:18:37,520 --> 00:18:41,240 Speaker 1: that he's going to reveal more censorship. I think is 344 00:18:41,240 --> 00:18:43,520 Speaker 1: going to be critical. I think we're learning a lot, 345 00:18:44,160 --> 00:18:46,520 Speaker 1: and I think he's doing the country good service by 346 00:18:46,520 --> 00:18:51,240 Speaker 1: doing so, and probably taking a financial and personal risk 347 00:18:51,280 --> 00:18:54,359 Speaker 1: in doing it because Democrats they don't want anything to 348 00:18:54,400 --> 00:18:58,160 Speaker 1: do with any of this. And I think it's it's enlightening, 349 00:18:58,160 --> 00:19:02,200 Speaker 1: it's actually scary too, and that is the What's that 350 00:19:03,720 --> 00:19:05,840 Speaker 1: there are people sitting in their offices right now not 351 00:19:06,000 --> 00:19:08,200 Speaker 1: knowing whether they should make a move or not though, 352 00:19:08,240 --> 00:19:11,160 Speaker 1: and they there were people on Twitter that he didn't 353 00:19:11,160 --> 00:19:13,800 Speaker 1: have to spend that forty four billion dollars and a 354 00:19:13,840 --> 00:19:16,480 Speaker 1: matter of fact, he probably could have paid the salaries 355 00:19:16,480 --> 00:19:18,920 Speaker 1: of a couple of them and put them on his 356 00:19:19,080 --> 00:19:21,439 Speaker 1: own payroll and found out what was going on. But uh, 357 00:19:21,840 --> 00:19:24,840 Speaker 1: you know the fact that the FBI was having weekly 358 00:19:24,920 --> 00:19:28,919 Speaker 1: meetings um in the in the weeks and months before 359 00:19:29,160 --> 00:19:32,720 Speaker 1: the twenty twenty election, telling them about you got to 360 00:19:32,720 --> 00:19:36,359 Speaker 1: expect these hack and league operations by state actors, meaning 361 00:19:36,520 --> 00:19:39,800 Speaker 1: foreign countries. And they had had Hunter Biden's laptop for 362 00:19:39,920 --> 00:19:42,960 Speaker 1: over a year. I think is pretty revealing also, And 363 00:19:43,320 --> 00:19:45,520 Speaker 1: why didn't they do anything with the laptop for a 364 00:19:45,600 --> 00:19:48,879 Speaker 1: year knowing that there it was low hanging fruit. And 365 00:19:48,880 --> 00:19:52,120 Speaker 1: then we get to the deeper issue of Hunter's father, 366 00:19:52,280 --> 00:19:55,680 Speaker 1: Joe Biden, your president, and his involvement and pay to 367 00:19:55,800 --> 00:19:58,680 Speaker 1: play in this this you know, family syndicate of making 368 00:19:58,720 --> 00:20:01,160 Speaker 1: money from foreign countries and Joe lying to the entire 369 00:20:01,200 --> 00:20:04,600 Speaker 1: country about it. You know how this how this plays out? 370 00:20:04,680 --> 00:20:07,280 Speaker 1: I don't know. I've gotten very cynical now. I just 371 00:20:07,600 --> 00:20:09,960 Speaker 1: I don't feel we have equal justice or application of 372 00:20:10,000 --> 00:20:13,959 Speaker 1: our laws. But the American people absolutely deserve the truth. 373 00:20:14,560 --> 00:20:17,560 Speaker 1: And that's, you know, hopefully the direction that the Republican 374 00:20:17,640 --> 00:20:20,560 Speaker 1: Congress will take us. Now. Time will tell, though, anyway, 375 00:20:20,600 --> 00:20:23,120 Speaker 1: appreciate the call. Gary in the Great State of Georgia. 376 00:20:23,200 --> 00:20:26,359 Speaker 1: What's up, Gary, how are you? Hey? Sean Hannity and 377 00:20:26,440 --> 00:20:29,920 Speaker 1: metcha many years ago at Butler with Anne Culture moved 378 00:20:30,320 --> 00:20:33,439 Speaker 1: to Georgia about eleven years ago. But I heard you 379 00:20:33,520 --> 00:20:37,320 Speaker 1: talk last Friday talking about voting in Georgia. You know 380 00:20:37,400 --> 00:20:39,919 Speaker 1: my concern and I voiced this and when I go 381 00:20:40,000 --> 00:20:44,400 Speaker 1: to Hershal's fundraisers, etc. You know, we got a problem 382 00:20:44,400 --> 00:20:47,919 Speaker 1: with the Republican party down here. You got Jeff Duncan. 383 00:20:47,960 --> 00:20:51,480 Speaker 1: You probably saw that former lieutenant governor you know, claims 384 00:20:51,520 --> 00:20:54,760 Speaker 1: he can't vote for traversal because he's a bad person. 385 00:20:55,240 --> 00:20:57,240 Speaker 1: Uh you know, I sent him a note and ask 386 00:20:57,359 --> 00:20:59,679 Speaker 1: him if he wanted to do He doesn't care. Let 387 00:20:59,960 --> 00:21:02,920 Speaker 1: me tell you what the biggest problem and Florida has 388 00:21:03,480 --> 00:21:07,119 Speaker 1: Florida Republicans have solved us, and we need to follow 389 00:21:07,119 --> 00:21:13,080 Speaker 1: what Florida is doing. Republicans Conservatives in Florida are not resistant, 390 00:21:13,359 --> 00:21:17,680 Speaker 1: reluctant in terms of voting early and voting by mail. 391 00:21:18,000 --> 00:21:19,879 Speaker 1: And they do it and they do it with great 392 00:21:19,880 --> 00:21:23,040 Speaker 1: confidence that there's integrity in the system and that their 393 00:21:23,119 --> 00:21:27,000 Speaker 1: votes are going to be counted. And I'm telling you, 394 00:21:27,040 --> 00:21:32,080 Speaker 1: I've studied now all the early voting numbers in Georgia. Yes, 395 00:21:32,320 --> 00:21:36,320 Speaker 1: Herschel has a shot. Herschel can win. It's gonna but 396 00:21:36,520 --> 00:21:39,720 Speaker 1: he's starting from behind. There's no way every way. I've 397 00:21:39,720 --> 00:21:41,960 Speaker 1: analyzed those numbers, and every person that I think is 398 00:21:42,000 --> 00:21:46,080 Speaker 1: intelligent and understands the early voting numbers and the Democratic 399 00:21:46,280 --> 00:21:49,879 Speaker 1: graphic breakdowns of them. Thinks as the same as I do, 400 00:21:50,000 --> 00:21:53,480 Speaker 1: and that is he can win, but with starting, you know, 401 00:21:53,560 --> 00:21:57,720 Speaker 1: with a deficit on election day, and the biggest deficit 402 00:21:57,880 --> 00:22:02,800 Speaker 1: demographically that I see are suburban men have not come 403 00:22:02,840 --> 00:22:06,320 Speaker 1: out in sufficient numbers to support Herschel, but they're also 404 00:22:06,359 --> 00:22:09,159 Speaker 1: the people more likely to vote day up. I just 405 00:22:09,200 --> 00:22:11,719 Speaker 1: don't like the fact that, you know, tomorrow it's supposed 406 00:22:11,720 --> 00:22:14,159 Speaker 1: to be raining in Georgia. Is that going to you know, 407 00:22:15,320 --> 00:22:18,600 Speaker 1: result in some people staying home? I don't know. But 408 00:22:18,920 --> 00:22:23,400 Speaker 1: Republicans have got to get over this reluctance resistance. It's 409 00:22:23,440 --> 00:22:26,080 Speaker 1: not the system we want, but it's the one we've got, 410 00:22:26,160 --> 00:22:27,879 Speaker 1: and you got to work the system the way the 411 00:22:27,920 --> 00:22:32,000 Speaker 1: Democrats do. Unless Republicans get in that game and play 412 00:22:32,040 --> 00:22:34,520 Speaker 1: the game the way they're playing it until they have 413 00:22:34,520 --> 00:22:37,560 Speaker 1: a chance to fix it, then you know, some of 414 00:22:37,600 --> 00:22:40,200 Speaker 1: these outcomes are going to be disappointing for some time. Yeah, 415 00:22:40,240 --> 00:22:43,360 Speaker 1: I agree, but that the other problem, Sean, is this 416 00:22:43,400 --> 00:22:47,200 Speaker 1: whole Republican Party is I mean, you got you got 417 00:22:47,200 --> 00:22:49,399 Speaker 1: Gary Black, the guy that ran against Herschel, you know, 418 00:22:49,640 --> 00:22:52,720 Speaker 1: saying he's a bad person. He won't retract it. I mean, 419 00:22:52,760 --> 00:22:55,760 Speaker 1: I've been around the people that know him. You can't listen. 420 00:22:56,000 --> 00:22:58,840 Speaker 1: What he says to me is irrelevant. It doesn't really matter. 421 00:22:59,600 --> 00:23:02,600 Speaker 1: It really what matters, I'm telling you right now. The 422 00:23:02,640 --> 00:23:05,920 Speaker 1: only thing that matters is we have a big audience 423 00:23:05,920 --> 00:23:08,280 Speaker 1: in Georgia. Is you got to turn out in big 424 00:23:08,359 --> 00:23:11,959 Speaker 1: numbers tomorrow if you want herscheldava shot at winning. That's it. 425 00:23:12,080 --> 00:23:16,119 Speaker 1: We're starting from behind. It's the same story in a 426 00:23:16,160 --> 00:23:20,320 Speaker 1: lot of these elections now is Democrats. They go all 427 00:23:20,440 --> 00:23:25,240 Speaker 1: in on early voting and getting the ballots and getting 428 00:23:25,280 --> 00:23:28,679 Speaker 1: those ballots handed back way before we do. You can't 429 00:23:28,840 --> 00:23:31,879 Speaker 1: keep starting down, you know, by one hundred two hundred 430 00:23:31,880 --> 00:23:34,679 Speaker 1: thousand votes in every election and then expect to win 431 00:23:34,760 --> 00:23:38,080 Speaker 1: every time. You can't. But that's the Republican Party. You've 432 00:23:38,119 --> 00:23:40,280 Speaker 1: come down here and you go, yeah, I mean Herschel's 433 00:23:40,280 --> 00:23:42,399 Speaker 1: getting out spent six to one. It's not two to one, 434 00:23:42,440 --> 00:23:44,800 Speaker 1: as you said, it's six to one. And when you've 435 00:23:44,800 --> 00:23:49,760 Speaker 1: got Gary Black on TV, Jeff Duncan on TV talking 436 00:23:50,000 --> 00:23:52,400 Speaker 1: that they can't vote for Herschel, we got a problem. 437 00:23:52,640 --> 00:23:54,359 Speaker 1: You mentioned in the third time in a row. I 438 00:23:54,400 --> 00:23:57,480 Speaker 1: don't care he's irrelevant. Well, what matters are the people 439 00:23:57,480 --> 00:24:00,640 Speaker 1: of Georgia. But every concert if you don't want, is radical. 440 00:24:00,800 --> 00:24:04,560 Speaker 1: Raphael Warnock, there's your chance tomorrow. And you know, I 441 00:24:04,640 --> 00:24:08,119 Speaker 1: don't like the fact that Republicans have not gotten in 442 00:24:08,160 --> 00:24:11,159 Speaker 1: the ballot game the way the Democrats have. And you 443 00:24:11,359 --> 00:24:14,440 Speaker 1: better start waking up and they better start learning anyway, 444 00:24:14,480 --> 00:24:17,560 Speaker 1: appreciate it. We'll be watching eight hundred nine one sewn 445 00:24:17,600 --> 00:24:18,760 Speaker 1: on number if you want to be a part of 446 00:24:18,760 --> 00:24:21,680 Speaker 1: the program. Marina is in Indiana, Marina High. How are 447 00:24:21,680 --> 00:24:24,680 Speaker 1: you glad you call? Um? I just wanted to put 448 00:24:24,680 --> 00:24:31,120 Speaker 1: my two cents in on them. The education loan thing, 449 00:24:32,200 --> 00:24:36,040 Speaker 1: you know, student loan forgiveness. Yes, yeah, I could have 450 00:24:36,400 --> 00:24:41,800 Speaker 1: taken that, and I didn't. I had a lot of 451 00:24:41,840 --> 00:24:44,879 Speaker 1: concerns about it, number one, whether it was a legal 452 00:24:44,920 --> 00:24:49,600 Speaker 1: thing that the president was doing. But number two, well, 453 00:24:49,640 --> 00:24:52,200 Speaker 1: so far it's been stopped by the courts so so far, 454 00:24:52,680 --> 00:24:54,800 Speaker 1: and I don't think it's going to pass muster llegally, 455 00:24:54,800 --> 00:24:57,200 Speaker 1: and I think he actually knew it wouldn't. But that's 456 00:24:57,240 --> 00:25:02,960 Speaker 1: my own take. But um, my concern is that we're 457 00:25:03,040 --> 00:25:05,960 Speaker 1: sitting here and I'm fifty years old. I've still got 458 00:25:05,960 --> 00:25:10,359 Speaker 1: a student loan from nineteen ninety and a lot of 459 00:25:10,400 --> 00:25:16,560 Speaker 1: stuff has happened between nineteen ninety and now that people say, well, 460 00:25:16,840 --> 00:25:19,040 Speaker 1: you should go ahead and try for it. You deserve it, 461 00:25:19,400 --> 00:25:21,840 Speaker 1: you've went through a lot of stuff. Well, no, I 462 00:25:22,000 --> 00:25:25,000 Speaker 1: don't deserve it, because even though as a seventeen year old, 463 00:25:25,119 --> 00:25:29,480 Speaker 1: I didn't understand everything that I was signing, that doesn't 464 00:25:29,520 --> 00:25:34,480 Speaker 1: mean that my name on that paper is not my 465 00:25:34,600 --> 00:25:37,800 Speaker 1: guarantee that I'm going to do something about it. And 466 00:25:37,920 --> 00:25:43,000 Speaker 1: we're teaching all of these younger children that you know, hey, 467 00:25:43,160 --> 00:25:44,960 Speaker 1: you don't have to worry about it. Your name can 468 00:25:45,000 --> 00:25:47,320 Speaker 1: be much for however long you want it to be. 469 00:25:48,200 --> 00:25:52,399 Speaker 1: We're not teaching them that a handshake is your bond. 470 00:25:53,040 --> 00:25:56,200 Speaker 1: We're not teaching them that we need to get out 471 00:25:56,240 --> 00:26:00,640 Speaker 1: there and do things for other people, not just for ourselves. 472 00:26:00,640 --> 00:26:04,080 Speaker 1: And that's what's concerning to me. The only thing I 473 00:26:04,119 --> 00:26:07,160 Speaker 1: don't like and what you're saying is that, well, first 474 00:26:07,160 --> 00:26:09,439 Speaker 1: of all, it's not going to pass constitutional muster, so 475 00:26:09,520 --> 00:26:13,040 Speaker 1: this is just an intellectual exercise. But I would advise 476 00:26:13,119 --> 00:26:17,320 Speaker 1: people to avail themselves to whatever tax breaks or whatever 477 00:26:17,400 --> 00:26:20,119 Speaker 1: you're eligible for from the government, only because I believe 478 00:26:20,160 --> 00:26:22,840 Speaker 1: every Americans over tax to begin with. So that's a 479 00:26:22,920 --> 00:26:26,320 Speaker 1: side note. But the idea that we have a party 480 00:26:26,920 --> 00:26:30,320 Speaker 1: in this country that wants to empower their government to 481 00:26:30,440 --> 00:26:33,600 Speaker 1: take from one group of people and distribute that money 482 00:26:33,640 --> 00:26:36,040 Speaker 1: to their groups of people that they think are going 483 00:26:36,080 --> 00:26:39,800 Speaker 1: to vote for them has got to end. And whatever 484 00:26:39,960 --> 00:26:45,040 Speaker 1: manifestation or form this socialism has taken on in this country. 485 00:26:45,080 --> 00:26:48,080 Speaker 1: They're calling it Green New dealism, climate alarmism, whatever you 486 00:26:48,119 --> 00:26:50,720 Speaker 1: want to call it, it always results in the same thing, 487 00:26:50,760 --> 00:26:55,320 Speaker 1: and that is unfulfilled promises number one, then more poverty 488 00:26:55,320 --> 00:26:58,119 Speaker 1: in the end, number two and number three. A loss 489 00:26:58,160 --> 00:27:02,639 Speaker 1: of freedom is to say, result every time and is 490 00:27:02,720 --> 00:27:05,040 Speaker 1: not going to work. So as a matter of how 491 00:27:05,119 --> 00:27:07,239 Speaker 1: much pain the American people will go through before they 492 00:27:07,280 --> 00:27:10,320 Speaker 1: have to wake up and realize up, Yeah, our kids 493 00:27:10,320 --> 00:27:13,200 Speaker 1: need to understand that, though, I mean we haven't taught 494 00:27:13,280 --> 00:27:17,880 Speaker 1: them well enough. I mean even some of us older 495 00:27:18,240 --> 00:27:22,320 Speaker 1: generational people, we don't know everything because I mean until 496 00:27:22,800 --> 00:27:26,560 Speaker 1: President Trump got into office, I never knew anything about politics. 497 00:27:26,880 --> 00:27:30,000 Speaker 1: I never knew anything about my Constitution. I never knew 498 00:27:30,040 --> 00:27:33,360 Speaker 1: anything about the Bill of Rights. I wasn't taught that. 499 00:27:33,920 --> 00:27:40,240 Speaker 1: But we as us citizens, as patriots, as you know, Americans, 500 00:27:40,320 --> 00:27:43,919 Speaker 1: we need to teach our youth what has happened in 501 00:27:43,960 --> 00:27:47,000 Speaker 1: the past, so we don't go through all of this 502 00:27:47,040 --> 00:27:51,280 Speaker 1: stuff again. We can't forget our past. We can't forget Marina. 503 00:27:51,359 --> 00:27:53,600 Speaker 1: I agree, but look look at what they're trying to 504 00:27:53,640 --> 00:27:57,720 Speaker 1: teach your kids today. It's about gender identity, it's about CRT. No. 505 00:27:57,960 --> 00:28:00,439 Speaker 1: You know, we paid more money per capita preach with 506 00:28:00,520 --> 00:28:04,080 Speaker 1: the worst results of any industrialized country. It can't get 507 00:28:04,160 --> 00:28:09,080 Speaker 1: any worse. And unless you go back to the fundamentals reading, writing, maths, science, history, 508 00:28:09,640 --> 00:28:12,760 Speaker 1: and computers, our kids are never going to be competitive 509 00:28:12,800 --> 00:28:16,680 Speaker 1: in a world marketplace, and we will over time, we 510 00:28:17,280 --> 00:28:20,720 Speaker 1: will be you know, outperformed by a lot of other 511 00:28:20,720 --> 00:28:23,359 Speaker 1: countries because they are putting the emphasis on things that 512 00:28:23,480 --> 00:28:25,720 Speaker 1: where we should be putting our emphasis. You know, we 513 00:28:26,320 --> 00:28:31,720 Speaker 1: can let our educational institutions become institutions of indoctrination and 514 00:28:31,800 --> 00:28:34,720 Speaker 1: social engineering, and that's what they've now become. And that's 515 00:28:34,720 --> 00:28:38,600 Speaker 1: that's that's pretty scary. Anyway, appreciate the call. Quick break 516 00:28:38,680 --> 00:28:40,160 Speaker 1: right back to the phone. Say eight hundred and nine 517 00:28:40,280 --> 00:28:41,880 Speaker 1: four one sewn our number. You want to be a 518 00:28:41,920 --> 00:28:44,479 Speaker 1: part of the program. Anyway, Christmas season is here. It's 519 00:28:44,560 --> 00:28:47,680 Speaker 1: upon us time for giving gifts and parties and friends 520 00:28:47,680 --> 00:28:50,080 Speaker 1: and family, and you want to look your best. That's 521 00:28:50,080 --> 00:28:54,040 Speaker 1: where our friends at Shamoni and Genuesell come in and 522 00:28:54,160 --> 00:28:57,800 Speaker 1: right now until Christmas. Their most popular package at Genuinel 523 00:28:58,360 --> 00:29:00,520 Speaker 1: is seventy percent off when you go to Jenusell dot 524 00:29:00,560 --> 00:29:03,440 Speaker 1: com slash Shan the biggest advocate in the world for 525 00:29:03,520 --> 00:29:06,760 Speaker 1: all things Shamanie and Geniu seller Linda. 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John, you have 544 00:30:04,440 --> 00:30:06,480 Speaker 1: the full minute, Go ahead, sir, Yes, sirs, Thank you 545 00:30:06,480 --> 00:30:08,440 Speaker 1: Sean for taking my call. Good afternoon. How are you. 546 00:30:08,680 --> 00:30:10,400 Speaker 1: I'm good, sir. Good. So the reason I want to 547 00:30:10,400 --> 00:30:12,320 Speaker 1: call Sean, I just want to which you know, I've 548 00:30:12,320 --> 00:30:16,280 Speaker 1: lived in Texas for over ten years now and working 549 00:30:16,320 --> 00:30:18,760 Speaker 1: your own gas industry and I'm proud to do it, 550 00:30:19,160 --> 00:30:21,240 Speaker 1: and I wanted to call you in just put my 551 00:30:21,280 --> 00:30:23,480 Speaker 1: two cents in really quick on some of the comments 552 00:30:23,560 --> 00:30:26,360 Speaker 1: we got from the press, the Press Corps, and the 553 00:30:26,440 --> 00:30:29,320 Speaker 1: White House Secretary to hear her last the other day 554 00:30:29,360 --> 00:30:31,080 Speaker 1: about some of the things that are going on at 555 00:30:31,120 --> 00:30:33,840 Speaker 1: the border, and Peter do Syet asked for the question 556 00:30:33,880 --> 00:30:36,280 Speaker 1: about his President Biden going to come down to visit 557 00:30:36,640 --> 00:30:38,240 Speaker 1: to see her. Lap is really a slap in the 558 00:30:38,240 --> 00:30:43,040 Speaker 1: face of all Americans, just personally, Sean. On a daily basis, 559 00:30:43,080 --> 00:30:45,720 Speaker 1: we see illegal immigrants running around back and forth every 560 00:30:45,720 --> 00:30:48,920 Speaker 1: single day. They steal vehicles on our ranches. They run 561 00:30:48,960 --> 00:30:51,960 Speaker 1: their vehicles through the fences. They have no regard for 562 00:30:52,880 --> 00:30:54,720 Speaker 1: people of the state of Texas, so the people that 563 00:30:54,760 --> 00:30:56,920 Speaker 1: are in their way. We see it every day. It's 564 00:30:56,960 --> 00:31:00,320 Speaker 1: like seeing an animal on the road. You see just 565 00:31:00,360 --> 00:31:03,280 Speaker 1: as many illegals as you see gear animals running across 566 00:31:03,320 --> 00:31:05,680 Speaker 1: the highway. It's a problem. And I can tell you 567 00:31:05,720 --> 00:31:10,880 Speaker 1: for sure, Sean that during President Trump's term it was 568 00:31:10,960 --> 00:31:13,000 Speaker 1: never this bad, and what we've seen in the last 569 00:31:13,040 --> 00:31:16,040 Speaker 1: two years or just horrible. It's hard to see and feel. 570 00:31:16,400 --> 00:31:18,520 Speaker 1: The numbers speak for itself. Four and a half million 571 00:31:18,520 --> 00:31:23,080 Speaker 1: illegal immigrants. They're being processed into the country illegally, aided 572 00:31:23,160 --> 00:31:26,600 Speaker 1: and embedded by Joe. They get preferential treatment, they don't 573 00:31:26,600 --> 00:31:28,719 Speaker 1: have a vaccine mandate, they get a free phone, they 574 00:31:28,720 --> 00:31:31,560 Speaker 1: get free transportation, and you, the taxpayers, pay for all 575 00:31:31,600 --> 00:31:34,640 Speaker 1: of it. Something really wrong with that. I don't know 576 00:31:34,680 --> 00:31:37,200 Speaker 1: why people aren't more outraged by it. I really don't. 577 00:31:37,720 --> 00:31:40,360 Speaker 1: I think I just I think we've just come to 578 00:31:40,400 --> 00:31:45,360 Speaker 1: accept that our government is just fundamentally so corrupt and flawed. 579 00:31:45,800 --> 00:31:47,840 Speaker 1: You know, we roll our eyes and we put on 580 00:31:47,880 --> 00:31:49,520 Speaker 1: a football game because we don't want to pay we 581 00:31:49,840 --> 00:31:53,400 Speaker 1: just can't deal with it. It's beginning to, you know, 582 00:31:53,400 --> 00:31:55,360 Speaker 1: but at some point there's got to be a tipping point. 583 00:31:55,480 --> 00:31:58,920 Speaker 1: Country can't continue like this and survive as a great republic. 584 00:31:58,960 --> 00:31:59,560 Speaker 1: It just can't