1 00:00:00,080 --> 00:00:02,880 Speaker 1: All right, News round up an information overload hour on 2 00:00:02,920 --> 00:00:05,720 Speaker 1: this primary day, and in a number of states across 3 00:00:05,760 --> 00:00:08,280 Speaker 1: the country, also in the great state of Kentucky, where 4 00:00:08,280 --> 00:00:12,320 Speaker 1: of course we're supporting Senator Rampaul no brainer, and I'm 5 00:00:12,320 --> 00:00:16,000 Speaker 1: sure he'll do very well today. Anthony Fauci out there 6 00:00:16,040 --> 00:00:20,200 Speaker 1: again talking about the possibility of a COVID surge due 7 00:00:20,239 --> 00:00:24,320 Speaker 1: to waning immunity and people not wearing masks indoors. When 8 00:00:24,360 --> 00:00:28,200 Speaker 1: does he ever get it? Probably never. Furthermore, goes on 9 00:00:28,280 --> 00:00:31,120 Speaker 1: to say, right now, looking forward, I don't see the 10 00:00:31,160 --> 00:00:34,000 Speaker 1: need of a lockdown in the future, and then he 11 00:00:34,120 --> 00:00:37,440 Speaker 1: defends lockdowns again. You just can't make this up. Let's 12 00:00:37,440 --> 00:00:40,400 Speaker 1: play it. The fall is several months away. If we 13 00:00:40,440 --> 00:00:43,680 Speaker 1: don't get people who've been boosted to who've been vaccinated 14 00:00:43,720 --> 00:00:47,159 Speaker 1: to be boosted and getting the people who've not been vaccinated, 15 00:00:47,520 --> 00:00:49,879 Speaker 1: we're going to have a degree of immunity that's below 16 00:00:50,000 --> 00:00:52,840 Speaker 1: the level of what you want for the community protection 17 00:00:53,280 --> 00:00:56,920 Speaker 1: across the country. Then you get a situation besides the 18 00:00:56,960 --> 00:01:00,720 Speaker 1: waning of immunity, whereas the weather gets cooler, people tend 19 00:01:00,800 --> 00:01:05,480 Speaker 1: to congregate indoors, and we've seen very clearly a relaxation 20 00:01:06,240 --> 00:01:09,319 Speaker 1: of some of the mitigation what people are going to 21 00:01:09,400 --> 00:01:14,720 Speaker 1: indoor congregate settings without masks now max are not required 22 00:01:14,760 --> 00:01:18,520 Speaker 1: in so many places, but people are not wearing masks. 23 00:01:18,560 --> 00:01:21,800 Speaker 1: So we're concerned about all of those things. We're concerned 24 00:01:21,840 --> 00:01:25,119 Speaker 1: about the surge we're seeing right now, as you mentioned, 25 00:01:25,440 --> 00:01:28,240 Speaker 1: and the fact that as we approach the fall, the 26 00:01:28,360 --> 00:01:30,840 Speaker 1: late fall and early winter, we're going to have a 27 00:01:30,840 --> 00:01:34,920 Speaker 1: waning of immunity and circumstances, namely a lot of indoor 28 00:01:34,959 --> 00:01:39,040 Speaker 1: activities which make it very conducive to another surge. If 29 00:01:39,040 --> 00:01:42,039 Speaker 1: you're going to lock down, you've got to use it 30 00:01:42,200 --> 00:01:45,000 Speaker 1: temporarily for a reason, to prepare you to be able 31 00:01:45,640 --> 00:01:48,680 Speaker 1: to unlock down and get the public prepared for that. 32 00:01:48,800 --> 00:01:51,560 Speaker 1: Right now, looking forward, I don't see the need of 33 00:01:51,640 --> 00:01:55,520 Speaker 1: lockdown in the future unless something really, very very unusual happens. 34 00:01:55,520 --> 00:01:57,880 Speaker 1: And the reason is that what we really need to 35 00:01:57,920 --> 00:02:00,760 Speaker 1: do is we need to get our populationaccinated and we 36 00:02:00,800 --> 00:02:03,640 Speaker 1: need to get them boosted. That would completely obviate the 37 00:02:03,640 --> 00:02:07,320 Speaker 1: need to lock anything down. So right now, if you 38 00:02:07,360 --> 00:02:10,600 Speaker 1: ask me the question looking forward, do I see even 39 00:02:10,639 --> 00:02:13,520 Speaker 1: if we do get a new variant, I think the 40 00:02:13,639 --> 00:02:16,600 Speaker 1: vaccinations that we have have enough cross reactivity in our 41 00:02:16,639 --> 00:02:21,760 Speaker 1: ability with proper resources to make varying specific boosts. I 42 00:02:21,800 --> 00:02:25,280 Speaker 1: don't see lockdown in the future. Lockdown is a temporary 43 00:02:25,360 --> 00:02:27,440 Speaker 1: thing to get you to be able to move quickly 44 00:02:27,720 --> 00:02:31,480 Speaker 1: to save lives. Knowing what you know now, have you 45 00:02:31,560 --> 00:02:34,760 Speaker 1: known it then? Did we do the right thing in 46 00:02:34,919 --> 00:02:40,200 Speaker 1: shutting down society? Would we have been better off saying no, 47 00:02:40,440 --> 00:02:44,480 Speaker 1: We're going to protect the vulnerable, the elderly, the people 48 00:02:44,520 --> 00:02:52,040 Speaker 1: who are immunocompromised, and we're going to isolate them. But 49 00:02:52,240 --> 00:02:58,400 Speaker 1: have the rest of American society, churches, businesses, university schools 50 00:02:59,120 --> 00:03:02,120 Speaker 1: go on about their business while at the same time 51 00:03:02,400 --> 00:03:06,359 Speaker 1: providing them guidance about how to protect themselves. Well, it's 52 00:03:06,400 --> 00:03:09,040 Speaker 1: a complicated question. I'll try and give as simple as 53 00:03:09,040 --> 00:03:13,240 Speaker 1: answered as possible. I think there's a misperception about who 54 00:03:13,360 --> 00:03:16,960 Speaker 1: the vulnerable are anyway. Senator Rampole of the Great State 55 00:03:17,080 --> 00:03:20,320 Speaker 1: of Kentucky, also a medical doctor in his own right, 56 00:03:20,680 --> 00:03:24,919 Speaker 1: has done more single handedly to expose Anthony Fauci and 57 00:03:25,639 --> 00:03:29,600 Speaker 1: the fraud of the NIH and the CDC and the 58 00:03:29,919 --> 00:03:35,480 Speaker 1: absolute atrocious policies that were adopted that had everything to 59 00:03:35,560 --> 00:03:39,400 Speaker 1: do with had nothing to do with anything scientific. There 60 00:03:39,480 --> 00:03:42,400 Speaker 1: was no following the science. There still not following the science, 61 00:03:42,480 --> 00:03:45,360 Speaker 1: because you can be fully vaccinated, get a booster and 62 00:03:45,440 --> 00:03:49,320 Speaker 1: other booster, have a previous infection, and still get COVID again. 63 00:03:49,360 --> 00:03:52,200 Speaker 1: Because I know so many people more than I can 64 00:03:52,280 --> 00:03:54,880 Speaker 1: even express, that have had it twice, and I now 65 00:03:54,960 --> 00:03:57,320 Speaker 1: know people that have had it a third time. Anyway, 66 00:03:57,400 --> 00:03:59,320 Speaker 1: Senator around Paul, thank you for being well us. How 67 00:03:59,360 --> 00:04:01,840 Speaker 1: are you, sir? Looked? I don't even need to wash 68 00:04:01,880 --> 00:04:03,560 Speaker 1: your luck. You're got to run away with this today. 69 00:04:03,600 --> 00:04:06,520 Speaker 1: It's going to be well. I Appreciatensylvania is a little 70 00:04:06,560 --> 00:04:08,760 Speaker 1: more dramatic. Let's be honest. Yeah, you're right, it is 71 00:04:08,800 --> 00:04:10,360 Speaker 1: gonna be a little more dramatic, But you know, the 72 00:04:10,400 --> 00:04:12,400 Speaker 1: whole thing about whether we should be afraid of the 73 00:04:12,640 --> 00:04:15,200 Speaker 1: virus still, the most important thing to know is that 74 00:04:15,280 --> 00:04:18,000 Speaker 1: if you randomly test a thousand people from any state 75 00:04:18,080 --> 00:04:20,640 Speaker 1: in the Union, you'll find that ninety seven percent of 76 00:04:20,720 --> 00:04:23,160 Speaker 1: people have immunity. They've either got it from having the 77 00:04:23,240 --> 00:04:27,680 Speaker 1: virus previously, or from being vaccinated, or sometimes both. Seventy 78 00:04:27,720 --> 00:04:29,560 Speaker 1: five percent of our kids have had it naturally. And 79 00:04:29,960 --> 00:04:32,240 Speaker 1: so this is no longer a novel virus. This is 80 00:04:32,320 --> 00:04:35,720 Speaker 1: the virus that our immune system knows about and has surveillance, 81 00:04:36,160 --> 00:04:38,440 Speaker 1: and in all like good people will do fine with this. 82 00:04:38,920 --> 00:04:40,839 Speaker 1: Whether you need a booster or not, I think depends 83 00:04:40,839 --> 00:04:42,840 Speaker 1: on whether you've also been infected, and it depends on 84 00:04:42,960 --> 00:04:45,720 Speaker 1: your age. But I think it's absolutely crazy, and the 85 00:04:45,800 --> 00:04:49,880 Speaker 1: science does not support giving boosters to kids, particularly adolescent males. 86 00:04:49,960 --> 00:04:53,359 Speaker 1: I think the risk of getting mildcardidis from the vaccine 87 00:04:53,600 --> 00:04:56,480 Speaker 1: exceeds the risk from the disease for kids, particularly for 88 00:04:56,560 --> 00:04:58,960 Speaker 1: adolescent boys and girls. You know, I don't know if 89 00:04:59,000 --> 00:05:02,080 Speaker 1: you saw this store. It's now gotten a lot of play. 90 00:05:02,480 --> 00:05:04,880 Speaker 1: And there's a quote of Joe Biden has been out 91 00:05:04,920 --> 00:05:07,520 Speaker 1: there now for since March, where he says now is 92 00:05:07,560 --> 00:05:10,560 Speaker 1: a time when things are shifting. We're going to there's 93 00:05:10,600 --> 00:05:12,720 Speaker 1: going to be a new world order out there, and 94 00:05:12,760 --> 00:05:14,840 Speaker 1: we haven't got to lead it, and we've got to 95 00:05:14,960 --> 00:05:18,200 Speaker 1: unite the rest of the free world and doing it. Apparently, 96 00:05:18,560 --> 00:05:22,839 Speaker 1: Daniel Harwitz wrote a column about the World Health Assembly 97 00:05:23,200 --> 00:05:26,240 Speaker 1: on May twenty second, the governing body of the WHO 98 00:05:27,240 --> 00:05:29,600 Speaker 1: and how they're going to meet in Geneva, Switzerland, and 99 00:05:29,720 --> 00:05:32,599 Speaker 1: the purpose of which is to discussed the next step 100 00:05:32,760 --> 00:05:35,200 Speaker 1: in what I would view in his words, a nefarious 101 00:05:35,279 --> 00:05:38,680 Speaker 1: pandemic treaty and the quest to use public health to 102 00:05:38,839 --> 00:05:43,120 Speaker 1: expand the Who's power over sovereign states. Senator, you know 103 00:05:43,200 --> 00:05:46,559 Speaker 1: as well as I do that the WHO did nothing 104 00:05:46,839 --> 00:05:50,120 Speaker 1: but become the press office for the Communist Chinese and 105 00:05:50,279 --> 00:05:53,760 Speaker 1: all their lies about COVID and its origins and everything 106 00:05:53,800 --> 00:05:56,880 Speaker 1: in between. When anybody starts talking about the new World Order, 107 00:05:57,160 --> 00:06:00,880 Speaker 1: I shudder. When anybody starts talking about old government or 108 00:06:01,000 --> 00:06:05,760 Speaker 1: World Health Organization having edicts and mandates that go beyond 109 00:06:06,000 --> 00:06:11,000 Speaker 1: and into and invade our country's borders, I'm terrified of 110 00:06:11,120 --> 00:06:13,520 Speaker 1: that and absolutely opposed to I want to do everything 111 00:06:13,560 --> 00:06:17,320 Speaker 1: to fight against that. I'm against the mandates even within 112 00:06:17,400 --> 00:06:20,320 Speaker 1: our country, much less in international order of mandrates. Do 113 00:06:20,440 --> 00:06:22,680 Speaker 1: we really want to be Australia or do we want 114 00:06:22,680 --> 00:06:25,880 Speaker 1: to be Shanghai where people in Asthma uniforms are beating 115 00:06:25,920 --> 00:06:28,800 Speaker 1: the crap out of their own citizens. We don't want that. 116 00:06:29,320 --> 00:06:31,040 Speaker 1: And the thing is, it turns out, if you look 117 00:06:31,080 --> 00:06:34,000 Speaker 1: carefully at the science, none of the things we did, 118 00:06:34,520 --> 00:06:39,080 Speaker 1: plexiglass masks, stickers on the floor, none of that really works. 119 00:06:39,240 --> 00:06:42,200 Speaker 1: The only thing that works with a virus is immunity. 120 00:06:42,640 --> 00:06:45,520 Speaker 1: You get immunity from a vaccine, and you get immunity 121 00:06:45,640 --> 00:06:48,720 Speaker 1: also from the disease. Those are the real things that 122 00:06:48,839 --> 00:06:51,599 Speaker 1: can affect the trajectory of the virus. But everywhere they 123 00:06:51,680 --> 00:06:54,960 Speaker 1: mandated masks, there is no evidence of a correlation between 124 00:06:55,480 --> 00:06:59,640 Speaker 1: law legal mandates with masks, and there's no correlation between 125 00:06:59,680 --> 00:07:01,800 Speaker 1: that and the incidents of the disease. And this is 126 00:07:01,880 --> 00:07:05,120 Speaker 1: in dozens and dozens of countries, states, and provinces. If 127 00:07:05,200 --> 00:07:08,200 Speaker 1: they truly followed the science. Now that you can be 128 00:07:08,400 --> 00:07:12,320 Speaker 1: fully vaccinated and boostered and boostered again and even have 129 00:07:12,720 --> 00:07:17,200 Speaker 1: had an earlier infection and natural immunity and you could 130 00:07:17,200 --> 00:07:20,040 Speaker 1: still get it again, doesn't the science then push us 131 00:07:20,120 --> 00:07:26,200 Speaker 1: away from this mantra of booster booster vaccine, vaccine and 132 00:07:26,400 --> 00:07:31,240 Speaker 1: towards therapeutics like the anti virals that apparently have working 133 00:07:31,400 --> 00:07:33,680 Speaker 1: pretty well for people according to people I talked to. 134 00:07:33,880 --> 00:07:36,080 Speaker 1: You're a doctor, you know better than I. But I 135 00:07:36,120 --> 00:07:40,880 Speaker 1: would argue the gold standard absolutely is our monoclonal antibodies, 136 00:07:41,320 --> 00:07:44,680 Speaker 1: and in this case, for this variant BA two amicron, 137 00:07:45,240 --> 00:07:48,520 Speaker 1: that would be the Eli Lily monoclonal antibody. Well, we 138 00:07:48,640 --> 00:07:50,960 Speaker 1: have a great deal of evidence and the CDC has 139 00:07:51,000 --> 00:07:53,680 Speaker 1: been trying to hide this evidence. But the study that 140 00:07:53,760 --> 00:07:57,560 Speaker 1: came out in January showed that if you've been previously infected, 141 00:07:57,960 --> 00:08:00,360 Speaker 1: that you're like fifty five times less likely to be 142 00:08:00,440 --> 00:08:02,679 Speaker 1: in the hospital than someone who has not been infected 143 00:08:02,760 --> 00:08:06,080 Speaker 1: or vaccinated. If you've been vaccinated, your twenty times less. 144 00:08:06,400 --> 00:08:09,240 Speaker 1: So we do know that the infection helps you. So 145 00:08:09,400 --> 00:08:11,960 Speaker 1: if you're sixty years old or sixty five years old 146 00:08:11,960 --> 00:08:13,920 Speaker 1: and trying to decide do I need by tenth booster, 147 00:08:14,480 --> 00:08:16,560 Speaker 1: ask your doctor can I be tested to see if 148 00:08:16,560 --> 00:08:18,600 Speaker 1: I've gotten a disease naturally or I know I had 149 00:08:18,640 --> 00:08:21,520 Speaker 1: it naturally, Because really that's the information that needs to 150 00:08:21,600 --> 00:08:24,760 Speaker 1: be gotten forward. We have tons and tons of data 151 00:08:24,760 --> 00:08:28,320 Speaker 1: at the CDC, but they're not releasing the influence of 152 00:08:28,440 --> 00:08:31,640 Speaker 1: previous infection. If we did, maybe people would be less 153 00:08:31,720 --> 00:08:34,400 Speaker 1: paranoid and we'd get away from all of these sort 154 00:08:34,440 --> 00:08:36,320 Speaker 1: of edicts that you've got to get a booster every 155 00:08:36,360 --> 00:08:38,800 Speaker 1: six months. We need to study and they need to 156 00:08:38,880 --> 00:08:43,120 Speaker 1: release the data on if you've been previously infected and vaccinated. 157 00:08:43,600 --> 00:08:45,800 Speaker 1: You know, when do you get infected again, what's your 158 00:08:45,880 --> 00:08:48,120 Speaker 1: chance to going to the hospital, what's your chance of dying? 159 00:08:48,320 --> 00:08:52,839 Speaker 1: So my recommendation is ask your doctor, obviously taken to 160 00:08:52,920 --> 00:08:57,480 Speaker 1: account your current medical condition, your medical history, and you 161 00:08:57,679 --> 00:09:00,199 Speaker 1: are you vaccinated, did you get a booster, did you 162 00:09:00,240 --> 00:09:03,439 Speaker 1: have a previous infection? All those things would clearly factor in. 163 00:09:04,080 --> 00:09:08,480 Speaker 1: But then ask you doctor about monoclonal antibodies. Senator, let 164 00:09:08,520 --> 00:09:11,640 Speaker 1: me just tell you this. I have probably helped out 165 00:09:12,000 --> 00:09:15,040 Speaker 1: hundreds and hundreds and hundreds of people. I can't even 166 00:09:15,160 --> 00:09:17,760 Speaker 1: count how many people I've directed to go to their 167 00:09:17,880 --> 00:09:21,600 Speaker 1: doctors and ask about monoclonal antibodies. In every single case, 168 00:09:21,920 --> 00:09:25,240 Speaker 1: if somebody gets it within the first it's better. Within 169 00:09:25,320 --> 00:09:27,440 Speaker 1: the first twenty four to forty eight hours, but seventy 170 00:09:27,480 --> 00:09:31,840 Speaker 1: two hours usually without fail, within forty eight hours, it's done. 171 00:09:32,080 --> 00:09:35,040 Speaker 1: It's over, they're better, and they move on with their life. 172 00:09:35,640 --> 00:09:38,040 Speaker 1: The problem we have now is the government owns all 173 00:09:38,080 --> 00:09:41,600 Speaker 1: of the monoclonals. They've forbidden insurance from paying for them, 174 00:09:41,920 --> 00:09:44,520 Speaker 1: and they've forbidden in individuals and paying for them. So 175 00:09:44,600 --> 00:09:47,599 Speaker 1: the government dictates a policy, so Regenera On and the 176 00:09:47,679 --> 00:09:50,480 Speaker 1: others were taken off the market abruptly. The thing is, 177 00:09:50,559 --> 00:09:52,760 Speaker 1: all of these the government's been limiting the use of 178 00:09:52,840 --> 00:09:55,679 Speaker 1: them because they say they don't work in laboratory tasks. 179 00:09:55,960 --> 00:09:57,720 Speaker 1: And I had a meeting with one of the scientists 180 00:09:57,760 --> 00:09:59,719 Speaker 1: to today and I said, well, we really need to 181 00:09:59,800 --> 00:10:03,679 Speaker 1: know is are the laboratory tests absolutely indicative of what 182 00:10:03,760 --> 00:10:06,360 Speaker 1: it does in the clinical experience, because I have lots 183 00:10:06,400 --> 00:10:08,240 Speaker 1: and lots of doctors who said, you know what, even 184 00:10:08,280 --> 00:10:10,840 Speaker 1: though they said it wasn't working the lab our clinical experience, 185 00:10:10,880 --> 00:10:13,040 Speaker 1: what it was that it was so really what we 186 00:10:13,160 --> 00:10:16,320 Speaker 1: need our clinical trials of continuing to use in monoclono 187 00:10:16,400 --> 00:10:20,480 Speaker 1: antibodies because my experience last year, Yes, the reports were 188 00:10:20,520 --> 00:10:23,760 Speaker 1: astounding at how well the monocolo antibodies were working, but 189 00:10:24,080 --> 00:10:26,240 Speaker 1: there's too much control by the government and there's not 190 00:10:26,480 --> 00:10:29,920 Speaker 1: enough studies being done currently to find out whether or 191 00:10:29,960 --> 00:10:34,720 Speaker 1: not laboratory evidence of efficiency your efficacy is the same 192 00:10:34,760 --> 00:10:36,880 Speaker 1: as the clinical experience, and that's what we need to know. 193 00:10:37,200 --> 00:10:39,199 Speaker 1: By the way, do you even have a primary opponent, 194 00:10:39,240 --> 00:10:41,760 Speaker 1: because if you do, I don't know about them. I 195 00:10:41,920 --> 00:10:45,760 Speaker 1: have five My goodness, yeah, people, five of them are 196 00:10:45,760 --> 00:10:48,280 Speaker 1: going to have very bad news tonight that I can predict. 197 00:10:49,160 --> 00:10:51,040 Speaker 1: They've got to go to ranfall dot com because I 198 00:10:51,040 --> 00:10:53,839 Speaker 1: have five opponents, Sean, Now my case, I should do 199 00:10:53,920 --> 00:10:56,040 Speaker 1: pretty well in the primary, and then we'll see how 200 00:10:56,080 --> 00:10:58,839 Speaker 1: the fall goes. But I'll know more this evening who 201 00:10:58,880 --> 00:11:01,560 Speaker 1: my opponent will be. We haven't always agreed on everything, 202 00:11:01,600 --> 00:11:04,480 Speaker 1: but I'd say we agree on ninety five percent of issues. 203 00:11:05,040 --> 00:11:07,680 Speaker 1: And I'll tell you you are one of the few 204 00:11:08,000 --> 00:11:12,800 Speaker 1: that stands on principle, fights for liberty, fights for our constitution, 205 00:11:13,320 --> 00:11:17,200 Speaker 1: fights for our freedoms. And the times we disagree, usually 206 00:11:17,240 --> 00:11:20,839 Speaker 1: we have a pretty darned good argument for doing what 207 00:11:21,000 --> 00:11:24,160 Speaker 1: you do, which I respect, even if I might disagree occasionally, 208 00:11:24,240 --> 00:11:26,120 Speaker 1: So I give you a lot of credit. One of 209 00:11:26,160 --> 00:11:27,960 Speaker 1: the things we've got is a big fight on our 210 00:11:28,000 --> 00:11:30,320 Speaker 1: hands coming up immediately at the end of this week 211 00:11:30,400 --> 00:11:33,920 Speaker 1: or early next week, is the Democrats and about ten 212 00:11:34,040 --> 00:11:37,559 Speaker 1: Republicans are pushing for fifty billion dollars more in bailouts 213 00:11:37,600 --> 00:11:40,240 Speaker 1: for restaurants. There's no reason to be doing this. The 214 00:11:40,320 --> 00:11:44,000 Speaker 1: restaurants have rebounded, there are no limitations. If there any limitations, 215 00:11:44,040 --> 00:11:46,959 Speaker 1: I'm going to restaurants. They're in Democrat states because the 216 00:11:47,080 --> 00:11:49,679 Speaker 1: governors have been too zell us. But we need to 217 00:11:49,760 --> 00:11:52,400 Speaker 1: not be passing another fifty billion dollars of the debt. 218 00:11:52,880 --> 00:11:55,440 Speaker 1: But y'all need to talk about the Republicans that are 219 00:11:55,480 --> 00:11:58,160 Speaker 1: pushing this, because there's about ten Republicans that are pushing 220 00:11:58,679 --> 00:12:02,480 Speaker 1: for billion dollars to develop the restaurants, even though the 221 00:12:02,600 --> 00:12:06,080 Speaker 1: COVID lockdown has been done for problems. Okay, we now 222 00:12:06,200 --> 00:12:08,920 Speaker 1: figured out we can't spend any more money with forty 223 00:12:08,960 --> 00:12:11,760 Speaker 1: two year high inflation numbers than the highest gas prices 224 00:12:11,800 --> 00:12:15,240 Speaker 1: we've ever paid. I never thought the economy could be 225 00:12:15,400 --> 00:12:18,360 Speaker 1: turned into such a garbage in such a short period 226 00:12:18,400 --> 00:12:22,080 Speaker 1: of time. And that's why this Senate race is so important. 227 00:12:22,120 --> 00:12:24,760 Speaker 1: That's why I took a strong physician in Pennsylvania in 228 00:12:24,800 --> 00:12:27,679 Speaker 1: the primary. That's why I'm supporting people like you. I'm 229 00:12:27,720 --> 00:12:31,439 Speaker 1: supporting people that I know believe in fiscal responsibility and 230 00:12:31,600 --> 00:12:34,720 Speaker 1: have the common sense to get us on the right path. 231 00:12:34,880 --> 00:12:37,640 Speaker 1: We can fix these problems. Energy independence will be a 232 00:12:37,679 --> 00:12:40,480 Speaker 1: big component of it. That's a big issue in your 233 00:12:40,559 --> 00:12:44,439 Speaker 1: great state of Kentucky. It destroys our argument against inflation though, 234 00:12:44,520 --> 00:12:47,120 Speaker 1: because inflation is from big spending in debt. If we 235 00:12:47,280 --> 00:12:51,040 Speaker 1: are piling on wanting the sent so Republicans need to 236 00:12:51,080 --> 00:12:53,480 Speaker 1: be consistent if they're going to blame Democrats, which they 237 00:12:53,559 --> 00:12:56,679 Speaker 1: should for the debt and for the inflation, let's get 238 00:12:56,760 --> 00:13:00,320 Speaker 1: off of asking for more bailouts for restaurants. So it's 239 00:13:00,360 --> 00:13:03,400 Speaker 1: a big mistake. It's not consistent with our ideology. And 240 00:13:03,520 --> 00:13:05,240 Speaker 1: guess what, we don't have any money. We got to 241 00:13:05,280 --> 00:13:09,120 Speaker 1: borrow it from China to give it to people. Scary time. Senator, 242 00:13:09,240 --> 00:13:12,320 Speaker 1: thank you for being with us in the great state 243 00:13:12,360 --> 00:13:14,760 Speaker 1: of Florida, and we got ninety seconds, and I'm giving 244 00:13:14,920 --> 00:13:19,160 Speaker 1: all ninety to you. Welcome to the program. Hi, Sean, 245 00:13:19,360 --> 00:13:21,960 Speaker 1: it's more wonderful to be able to speak with you today. 246 00:13:23,679 --> 00:13:26,080 Speaker 1: I'm going to go straight to the point, though, I'm 247 00:13:26,160 --> 00:13:32,959 Speaker 1: really concerned about this World Health Organization vote that will 248 00:13:33,040 --> 00:13:36,200 Speaker 1: be taking place next week, and I'm not really hearing 249 00:13:36,240 --> 00:13:40,079 Speaker 1: too much chatter about this out there, and I'm kind 250 00:13:40,120 --> 00:13:43,640 Speaker 1: of concerned that, you know, it's going to slip through 251 00:13:44,000 --> 00:13:47,559 Speaker 1: and nobody's paying attention because everybody's worried about elections and 252 00:13:49,480 --> 00:13:53,320 Speaker 1: you know, raising money for their election campaigns, and they're 253 00:13:53,440 --> 00:13:56,920 Speaker 1: not paying attention to what's you know, really crucial out there. 254 00:13:57,400 --> 00:13:59,480 Speaker 1: Let me tell you the person when I read Daniel 255 00:13:59,520 --> 00:14:03,760 Speaker 1: Harrowitz column on this, I said, I like a five 256 00:14:03,800 --> 00:14:06,839 Speaker 1: alarm fire went off on my head, because you're right, 257 00:14:07,200 --> 00:14:10,920 Speaker 1: that's scary. We would literally be giving up and surrendering 258 00:14:10,960 --> 00:14:14,640 Speaker 1: our sovereignty to an organization that we already know is corrupt. 259 00:14:15,360 --> 00:14:18,760 Speaker 1: And this is the organised, same organization that defended China 260 00:14:19,200 --> 00:14:22,920 Speaker 1: and became the press department for China. It's insane. So 261 00:14:23,200 --> 00:14:25,520 Speaker 1: you're right on the money, and and I promise you 262 00:14:25,560 --> 00:14:27,200 Speaker 1: we're not going to let this go. We'll stay on 263 00:14:27,320 --> 00:14:29,280 Speaker 1: it next week. I know we've got a lot of 264 00:14:29,320 --> 00:14:31,560 Speaker 1: politics to going on, a lot of primaries happening, but 265 00:14:32,120 --> 00:14:35,040 Speaker 1: we definitely will stay on top of this issue. You 266 00:14:35,160 --> 00:14:38,120 Speaker 1: have my word. Okay, thank you, Sean. I really appreciate 267 00:14:38,160 --> 00:14:40,520 Speaker 1: because a lot of people listen to you and this 268 00:14:40,840 --> 00:14:44,840 Speaker 1: is this can't just slipt through the cracks without being 269 00:14:45,440 --> 00:14:49,240 Speaker 1: I agree. Anyway, thank you, Anne, appreciate the call. Quick break. 270 00:14:49,280 --> 00:14:51,400 Speaker 1: We'll come back more your calls. On the other side, 271 00:14:51,520 --> 00:14:55,080 Speaker 1: I was apparently attacked by Kathy Barnett. I thought I 272 00:14:55,120 --> 00:14:57,240 Speaker 1: should pay much attention to it. But anyway, we'll get 273 00:14:57,240 --> 00:15:29,280 Speaker 1: to that next straight ahead. Be sure to check in 274 00:15:29,440 --> 00:15:31,800 Speaker 1: as soon as you get to your car after work 275 00:15:31,920 --> 00:15:36,360 Speaker 1: for breaking information you need to know about. This is 276 00:15:36,440 --> 00:15:40,880 Speaker 1: the Sean Hannity Show, A twenty five till the Top 277 00:15:40,960 --> 00:15:43,280 Speaker 1: of the Hour eight nine one Sean, you want to 278 00:15:43,360 --> 00:15:46,640 Speaker 1: be a part of the program. It is primary day 279 00:15:46,720 --> 00:15:50,640 Speaker 1: in a number of states around the country. We're following 280 00:15:50,800 --> 00:15:52,800 Speaker 1: all of them. Probably one of the most interesting, I 281 00:15:52,880 --> 00:15:56,600 Speaker 1: think is the Pennsylvania race. I'd never seen this in 282 00:15:56,680 --> 00:15:59,400 Speaker 1: my entire career, where somebody out of nowhere that's not 283 00:15:59,560 --> 00:16:02,440 Speaker 1: polling well, that nobody paid attention to all of a 284 00:16:02,520 --> 00:16:07,880 Speaker 1: sudden surges like eight nine days outside of the primary. 285 00:16:08,240 --> 00:16:10,840 Speaker 1: I mean, I just had never seen anything like it anyway, 286 00:16:10,880 --> 00:16:13,880 Speaker 1: So we did a deep dive. We started vetting Kathy Barnett. 287 00:16:13,920 --> 00:16:16,080 Speaker 1: We have nothing. She'd been on her program a number 288 00:16:16,120 --> 00:16:19,440 Speaker 1: of times Radio NTVU. Every time she was on, I 289 00:16:19,520 --> 00:16:22,080 Speaker 1: liked her. I have no problems with her now that 290 00:16:22,480 --> 00:16:25,800 Speaker 1: I have all of these tweets and all of these comments, 291 00:16:25,880 --> 00:16:29,440 Speaker 1: and I still can't get over the push to build 292 00:16:29,480 --> 00:16:33,240 Speaker 1: a statue of Barack Obama, all of her hatred towards 293 00:16:33,320 --> 00:16:39,240 Speaker 1: Donald Trump. I mean, the most incendiary comments on gays 294 00:16:39,280 --> 00:16:44,320 Speaker 1: and lesbians and Muslims, and that I would argue in 295 00:16:44,400 --> 00:16:48,160 Speaker 1: a general election make her unelectable. I quoted William at 296 00:16:48,200 --> 00:16:52,600 Speaker 1: Buckley Junior, the most conservative candidate that can win. There 297 00:16:52,640 --> 00:16:55,120 Speaker 1: are real issues and questions about whether she'd have any 298 00:16:55,200 --> 00:16:58,000 Speaker 1: chance of winning. I know, polls are open now for 299 00:16:58,240 --> 00:17:02,280 Speaker 1: what another two hours and twenty three minutes in the 300 00:17:02,400 --> 00:17:05,879 Speaker 1: great state of Pennsylvania, the Commonwealth of Pennsylvania. So she 301 00:17:06,080 --> 00:17:12,639 Speaker 1: goes on this radio show on our affiliate WPHT in 302 00:17:12,760 --> 00:17:14,879 Speaker 1: the morning. I mean, they've got a great such a 303 00:17:14,960 --> 00:17:20,000 Speaker 1: great station there. And she goes on Dawn Stensland's morning 304 00:17:20,040 --> 00:17:24,760 Speaker 1: show starts at five thirty every morning, fantastic host, fantastic 305 00:17:24,840 --> 00:17:29,040 Speaker 1: show goes incredibly well. And anyway, the issue of me 306 00:17:29,200 --> 00:17:33,040 Speaker 1: and her come up. Now. We had called and reached 307 00:17:33,080 --> 00:17:37,200 Speaker 1: out to Kathy Barnett. My team was finally able to 308 00:17:37,359 --> 00:17:41,400 Speaker 1: get her once on one phone call, and we tried 309 00:17:41,520 --> 00:17:45,159 Speaker 1: repeatedly to tax, to call to tax the call, to 310 00:17:45,320 --> 00:17:48,720 Speaker 1: get explanations for the things that she had said, the 311 00:17:48,880 --> 00:17:51,000 Speaker 1: things that she had written, the things that nobody paid 312 00:17:51,040 --> 00:17:55,720 Speaker 1: any attention to leading up until this primary race. And 313 00:17:56,240 --> 00:17:58,159 Speaker 1: then all of a sudden she wouldn't take our call anymore. 314 00:17:58,760 --> 00:18:01,560 Speaker 1: And then Linda, you might call because you're part of this. 315 00:18:02,280 --> 00:18:05,840 Speaker 1: She sends out a tweet saying, I'll see you Monday night. 316 00:18:05,920 --> 00:18:08,680 Speaker 1: I'll debate doctor os one on one. If you say 317 00:18:08,720 --> 00:18:11,520 Speaker 1: you're fair and balanced. I said, well, the night before 318 00:18:11,520 --> 00:18:15,480 Speaker 1: a primary debate. A primary is not the night for 319 00:18:15,800 --> 00:18:19,120 Speaker 1: a debate with only two of the candidates. If I'm 320 00:18:19,119 --> 00:18:20,760 Speaker 1: going to be really fair and balanced, I would have 321 00:18:20,840 --> 00:18:24,240 Speaker 1: to invite all the candidates at that late hour and so, 322 00:18:24,560 --> 00:18:26,600 Speaker 1: and not only that, this is what three and a 323 00:18:26,640 --> 00:18:31,200 Speaker 1: half days before before we'd actually put the show on, 324 00:18:31,240 --> 00:18:33,359 Speaker 1: which would have been last night. I mean, I'd love 325 00:18:33,400 --> 00:18:36,080 Speaker 1: to say we can just snap our fingers and find 326 00:18:36,160 --> 00:18:39,760 Speaker 1: a location and get all of the television equipment there 327 00:18:40,200 --> 00:18:43,560 Speaker 1: and build out a studio audience, and build out the 328 00:18:43,720 --> 00:18:47,320 Speaker 1: lighting and build out all the engineering issues and just 329 00:18:47,400 --> 00:18:50,600 Speaker 1: snap our fingers in. It would be done. Usually something 330 00:18:50,680 --> 00:18:53,240 Speaker 1: like that takes months to plan. You could probably pull 331 00:18:53,280 --> 00:18:55,480 Speaker 1: it off in a couple of weeks if you're really stressed, 332 00:18:56,200 --> 00:18:59,119 Speaker 1: but it's not something you can physically pull off with 333 00:18:59,280 --> 00:19:02,639 Speaker 1: the quality. Of course, Fox would rightly demand, So that 334 00:19:02,880 --> 00:19:05,359 Speaker 1: wasn't that was a non starter from the beginning. But 335 00:19:05,400 --> 00:19:08,240 Speaker 1: I did say, and I tweeted her back. I tweeted her, 336 00:19:08,240 --> 00:19:11,720 Speaker 1: I think what six text back that I could put 337 00:19:11,800 --> 00:19:14,600 Speaker 1: together if the other candidates would agree with a radio debate, 338 00:19:14,640 --> 00:19:17,680 Speaker 1: and I would have had that yesterday did she ever respond, Linda, 339 00:19:17,720 --> 00:19:20,639 Speaker 1: because I don't check Twitter. I don't have access to it. No, 340 00:19:21,440 --> 00:19:25,520 Speaker 1: she did not know. She's been very busy doing a 341 00:19:25,600 --> 00:19:28,560 Speaker 1: lot of interviews with other people, telling people she doesn't 342 00:19:28,560 --> 00:19:31,200 Speaker 1: remember anything she wrote on her own account. You know, 343 00:19:31,440 --> 00:19:35,280 Speaker 1: because we once had an issue with Twitter where it 344 00:19:35,400 --> 00:19:38,240 Speaker 1: had been compromised in some way. What was the exact 345 00:19:38,320 --> 00:19:42,000 Speaker 1: words at Jack used to you. It was compromised and 346 00:19:42,080 --> 00:19:45,800 Speaker 1: it was some weird yeah. I mean we saw it 347 00:19:45,920 --> 00:19:48,280 Speaker 1: and everybody thought it was like some special code of 348 00:19:48,440 --> 00:19:50,280 Speaker 1: like it meant something. I'm like, yeah, no, it's just 349 00:19:50,400 --> 00:19:53,840 Speaker 1: some weird screw up on internally. They fixed it. It's fine, Okay, 350 00:19:54,000 --> 00:19:57,080 Speaker 1: So then we fixed so all of these quotes, I 351 00:19:57,160 --> 00:20:01,399 Speaker 1: don't remember them. That doesn't sound like they're not full sentences. 352 00:20:02,200 --> 00:20:05,000 Speaker 1: Here's the problem with the full sentences thing too. I'm sorry, 353 00:20:05,160 --> 00:20:07,240 Speaker 1: but you know, back in the day, Twitter was one 354 00:20:07,320 --> 00:20:10,040 Speaker 1: hundred and forty characters. That's a full sentence. Back in 355 00:20:10,080 --> 00:20:12,359 Speaker 1: the day. That's how much. That's what you get. So 356 00:20:12,720 --> 00:20:15,639 Speaker 1: I don't even know what that means. So anyway, she 357 00:20:15,760 --> 00:20:19,119 Speaker 1: goes on this radio show this morning and here's what 358 00:20:19,240 --> 00:20:22,000 Speaker 1: she said. I have been told that, in fact, you 359 00:20:22,119 --> 00:20:24,440 Speaker 1: had offered to go on Hannity and answer some of 360 00:20:24,480 --> 00:20:27,679 Speaker 1: the things that you know he was saying, and did 361 00:20:28,240 --> 00:20:31,520 Speaker 1: he is there any did he ever let you answer 362 00:20:31,600 --> 00:20:34,920 Speaker 1: to any of those you know things that he was saying. No, 363 00:20:35,400 --> 00:20:38,919 Speaker 1: he did not, right, So this probably started last Thursday, 364 00:20:39,560 --> 00:20:42,800 Speaker 1: and it was just vicious and lies and they replicing 365 00:20:42,880 --> 00:20:46,280 Speaker 1: a videos to make me say something. I never said 366 00:20:46,480 --> 00:20:48,960 Speaker 1: that I don't like Trump. I never voted for Trump, 367 00:20:49,040 --> 00:20:51,480 Speaker 1: and I'm all about this that in the third and 368 00:20:52,480 --> 00:20:55,879 Speaker 1: it was just complete lies and this characterization. Then he 369 00:20:56,160 --> 00:20:59,240 Speaker 1: in Hannity seemed so surplected, although I've been on his 370 00:20:59,359 --> 00:21:02,639 Speaker 1: show I'm in different times prior to now, and he 371 00:21:02,840 --> 00:21:05,320 Speaker 1: never asked me any of these riveting questions. And then 372 00:21:05,359 --> 00:21:09,560 Speaker 1: he went either lower by bringing in my my, my 373 00:21:09,680 --> 00:21:13,120 Speaker 1: opponent and getting them to bash me. So I said, 374 00:21:13,200 --> 00:21:16,000 Speaker 1: just then, Hannity, I would love to come in studio 375 00:21:16,400 --> 00:21:19,240 Speaker 1: and sit down with you and ma'am at Oz and 376 00:21:19,400 --> 00:21:22,440 Speaker 1: then you can ask me all of these questions you've 377 00:21:22,520 --> 00:21:25,639 Speaker 1: seen so perplexed about. I would love to sit down 378 00:21:25,680 --> 00:21:28,240 Speaker 1: and have a discussion. And I said all of that 379 00:21:28,480 --> 00:21:31,880 Speaker 1: in one tweet, and he sent back six different tweets, 380 00:21:32,080 --> 00:21:36,920 Speaker 1: all of them saying no, that's not true. I think 381 00:21:37,440 --> 00:21:41,879 Speaker 1: brought together a radio debate with all the candidates. She 382 00:21:42,119 --> 00:21:45,280 Speaker 1: trashes Trump all over her Twitter feed. I have one 383 00:21:45,359 --> 00:21:47,320 Speaker 1: right here in front of me with my picture on it. 384 00:21:47,920 --> 00:21:51,640 Speaker 1: Why does Sean Hannity support unprincipled Donald Trump? By the way, 385 00:21:51,680 --> 00:21:54,879 Speaker 1: that's one of her nicest comments about Donald Trump at 386 00:21:54,920 --> 00:21:58,800 Speaker 1: the time. And uh, you know, that's fine. She didn't 387 00:21:58,840 --> 00:22:00,240 Speaker 1: have to agree with me. She doesn't have to agree 388 00:22:00,240 --> 00:22:04,360 Speaker 1: with me today. But there are so many of these 389 00:22:04,480 --> 00:22:08,360 Speaker 1: tweets that are out there that it's you know, she said. 390 00:22:08,400 --> 00:22:11,959 Speaker 1: For example, about Donald Trump, she says, no, we have crews, 391 00:22:12,000 --> 00:22:15,359 Speaker 1: we have men. Carson, I like hashtag Trump twenty sixteen. 392 00:22:15,400 --> 00:22:18,359 Speaker 1: He's a riot, but he's nothing more than headlines, very 393 00:22:18,440 --> 00:22:22,000 Speaker 1: little substance, he said. She said about Donald Trump, hashtag 394 00:22:22,040 --> 00:22:24,879 Speaker 1: Trump twenty sixteen is good for beers and barbecue, but 395 00:22:25,040 --> 00:22:29,720 Speaker 1: not as president. We are so morally bankrupt, etc. And 396 00:22:29,880 --> 00:22:34,439 Speaker 1: she goes on hashtag twenty sixteen, hashtag Trump twenty sixteen 397 00:22:34,480 --> 00:22:40,440 Speaker 1: moral character is questionable, braggadocious, constant jabs for bankruptcies, brags 398 00:22:40,520 --> 00:22:42,960 Speaker 1: bending rules, and she goes on and on and on, 399 00:22:43,680 --> 00:22:46,680 Speaker 1: and then I don't even want to read the stuff. 400 00:22:46,760 --> 00:22:50,320 Speaker 1: That she said, you know that an entire religion should 401 00:22:50,320 --> 00:22:54,919 Speaker 1: be canceled, broad sweeping generalizations, pray for me and my children. 402 00:22:55,000 --> 00:22:56,960 Speaker 1: We just got on our plane and there's a gay 403 00:22:57,000 --> 00:23:03,199 Speaker 1: woman here. I'm like, okay. So and now you might say, well, Hannity, 404 00:23:03,920 --> 00:23:06,359 Speaker 1: maybe primary voters want that. I am saying, and I 405 00:23:06,440 --> 00:23:10,199 Speaker 1: am arguing that the odds of her winning a general 406 00:23:10,320 --> 00:23:14,119 Speaker 1: election are nil next to zero. Maybe there's one percent 407 00:23:14,440 --> 00:23:20,560 Speaker 1: if it's such a huge wave election. Maybe maybe an outside, outside, 408 00:23:20,600 --> 00:23:23,320 Speaker 1: outside chance. What is your take, Linda, Well, I mean, 409 00:23:23,600 --> 00:23:25,840 Speaker 1: the first the first problem I have is just her saying, 410 00:23:25,960 --> 00:23:28,320 Speaker 1: you know, like in all of those tweets, he said no, 411 00:23:28,520 --> 00:23:32,680 Speaker 1: I'm like no, what he said was a TV show 412 00:23:32,800 --> 00:23:35,480 Speaker 1: with you know, six or seven different people all coming 413 00:23:35,520 --> 00:23:37,720 Speaker 1: in is just too much to do in a matter 414 00:23:37,800 --> 00:23:39,520 Speaker 1: of two days, not to mention the fact that you 415 00:23:39,680 --> 00:23:41,600 Speaker 1: had a personal thing that you were handling over the 416 00:23:41,680 --> 00:23:44,879 Speaker 1: weekend and you were going to be away, so then 417 00:23:44,960 --> 00:23:47,119 Speaker 1: you come into Monday, there's no time to do it. 418 00:23:47,200 --> 00:23:48,920 Speaker 1: And instead we were like, but listen, we could definitely 419 00:23:48,960 --> 00:23:50,880 Speaker 1: do something on radio. We'll give you the time. We've 420 00:23:50,920 --> 00:23:53,560 Speaker 1: got almost seven hundred stations, we've got millions of listeners. 421 00:23:53,920 --> 00:23:56,399 Speaker 1: We've got a huge base in Pennsylvania, like, let's at 422 00:23:56,520 --> 00:24:00,199 Speaker 1: least do that. No response to that, So again her 423 00:24:00,240 --> 00:24:03,879 Speaker 1: ability to read what's being written in all of our tweets, 424 00:24:03,920 --> 00:24:05,720 Speaker 1: And yeah, there were six of them, you know, Yeah, 425 00:24:05,760 --> 00:24:07,879 Speaker 1: there's six of them because we want to be in context, 426 00:24:08,240 --> 00:24:10,560 Speaker 1: you know, because context is very important to Kathy, as 427 00:24:10,600 --> 00:24:12,639 Speaker 1: she's mentioned many times, so we want to give it 428 00:24:12,680 --> 00:24:14,240 Speaker 1: to her in context. We want to give her is 429 00:24:14,600 --> 00:24:17,600 Speaker 1: much thought out, you know, verbiage and word salad that 430 00:24:17,720 --> 00:24:20,160 Speaker 1: she can digest so that she understands where we're coming from. 431 00:24:20,560 --> 00:24:22,800 Speaker 1: And yet she still didn't understand it and says we 432 00:24:22,880 --> 00:24:24,639 Speaker 1: said no. I'm like, no, we just said no to 433 00:24:24,840 --> 00:24:27,000 Speaker 1: a live TV debate. We said that we could do 434 00:24:27,119 --> 00:24:29,200 Speaker 1: something on radio. It's a little easier and it allows 435 00:24:29,240 --> 00:24:31,880 Speaker 1: people more flexibility to be from different locations. It would 436 00:24:31,880 --> 00:24:34,520 Speaker 1: have had a huge audience. Yeah, and not to mention 437 00:24:34,600 --> 00:24:36,920 Speaker 1: the fact, while she's sitting out there having all these 438 00:24:36,960 --> 00:24:41,359 Speaker 1: conversations about us and everybody else, she's not talking about solutions, 439 00:24:41,640 --> 00:24:43,920 Speaker 1: she's not talking about what she should do, and she's 440 00:24:43,960 --> 00:24:46,960 Speaker 1: not answering the truth. Nobody says in a book that 441 00:24:47,280 --> 00:24:50,280 Speaker 1: is a habbiography, she lives in Virginia. It's ridiculous. The 442 00:24:50,440 --> 00:24:53,760 Speaker 1: text records of everybody on my staff reaching out to 443 00:24:53,920 --> 00:24:59,159 Speaker 1: her respond We are begging her to respond to us. 444 00:24:59,520 --> 00:25:02,280 Speaker 1: Listen to one phone call found out we were asking 445 00:25:02,400 --> 00:25:06,399 Speaker 1: tough questions, and that was it. Never picked up the phone, 446 00:25:06,480 --> 00:25:09,800 Speaker 1: never answered again. Then she publicly tweets to me. So 447 00:25:09,920 --> 00:25:12,159 Speaker 1: I say, okay, here, I can do if that's the 448 00:25:12,280 --> 00:25:16,480 Speaker 1: medium physically impossible, but I can do this on six 449 00:25:16,640 --> 00:25:19,560 Speaker 1: hundred and seventy five stations. And she still has not 450 00:25:19,680 --> 00:25:22,080 Speaker 1: responded to that. And then what's what she's saying to 451 00:25:22,280 --> 00:25:26,320 Speaker 1: Dawn on w PHT. It just asn't accurate. I mean, 452 00:25:26,600 --> 00:25:30,200 Speaker 1: it's not accurate. Is a very I would say, it's untrue. 453 00:25:30,640 --> 00:25:32,760 Speaker 1: And I think the problem that I have, as someone 454 00:25:32,800 --> 00:25:34,560 Speaker 1: who lives in this state and is from this state, 455 00:25:34,920 --> 00:25:37,480 Speaker 1: and it's a big one, is we need something that's 456 00:25:37,520 --> 00:25:40,600 Speaker 1: gonna beat Fetterman. You know, anybody who's lived under Shapiro 457 00:25:40,800 --> 00:25:43,880 Speaker 1: and Wolf knows what a debacle it has been here. 458 00:25:44,000 --> 00:25:46,800 Speaker 1: I mean, it's a hot mess. We need real leaders 459 00:25:47,080 --> 00:25:49,640 Speaker 1: that can kick their ass, and we do not need 460 00:25:49,720 --> 00:25:53,399 Speaker 1: somebody who does not remember writing something. Some of the 461 00:25:53,520 --> 00:25:56,639 Speaker 1: things she said are so egregious and incendiary and offensive 462 00:25:56,840 --> 00:25:59,280 Speaker 1: to so many people, and it's inappropriate, and it has 463 00:25:59,359 --> 00:26:01,879 Speaker 1: nothing to do with getting food on the table, getting 464 00:26:01,920 --> 00:26:04,560 Speaker 1: gas in your car, paying your mortgage, and getting her work. So, 465 00:26:04,680 --> 00:26:06,800 Speaker 1: as far as I'm concerned, I would really like to 466 00:26:06,920 --> 00:26:09,320 Speaker 1: know what those solutions are and why you can't remember 467 00:26:09,359 --> 00:26:11,240 Speaker 1: what you wrote, because if you can't remember what you 468 00:26:11,359 --> 00:26:13,760 Speaker 1: wrote and you were so outraged by these things and 469 00:26:13,840 --> 00:26:16,240 Speaker 1: you haven't even taken them down, it's like it's not 470 00:26:16,359 --> 00:26:19,359 Speaker 1: even like, well, I don't even know that, but that 471 00:26:19,480 --> 00:26:22,200 Speaker 1: doesn't I didn't. I don't write like that. That that 472 00:26:22,320 --> 00:26:25,399 Speaker 1: didn't come from me. So are you claiming She was 473 00:26:25,440 --> 00:26:29,000 Speaker 1: asked directly, I know, on another talk show whether or 474 00:26:29,040 --> 00:26:31,399 Speaker 1: not she believes her account was hacked. She didn't answer 475 00:26:31,480 --> 00:26:34,280 Speaker 1: that question. That's now either you were hacked or you 476 00:26:34,400 --> 00:26:37,359 Speaker 1: weren't hacked. If you weren't hacked, that means you wrote it. 477 00:26:37,680 --> 00:26:41,600 Speaker 1: And there's so many of these incendiary comments and tweets. 478 00:26:41,720 --> 00:26:45,280 Speaker 1: Never mind why any anybody that claims to be mega 479 00:26:45,520 --> 00:26:47,359 Speaker 1: didn't she claim in her book. Somebody told me that 480 00:26:47,480 --> 00:26:49,359 Speaker 1: she claimed that a book. She didn't vote for Trump 481 00:26:50,240 --> 00:26:52,119 Speaker 1: um at once. I don't know about that. I mean 482 00:26:52,200 --> 00:26:54,240 Speaker 1: I think I have lipped and flopped and played all 483 00:26:54,320 --> 00:26:57,320 Speaker 1: over these issues. Here's the here's the main question. There's 484 00:26:57,320 --> 00:26:59,399 Speaker 1: a little over two hours now for the people in 485 00:26:59,480 --> 00:27:03,320 Speaker 1: Pennsylvana to decide. I don't get to decide. Eight o'clock, everybody, 486 00:27:03,400 --> 00:27:06,639 Speaker 1: eight o'clock, just an FYI right eight o'clock to polls close. Okay, 487 00:27:06,720 --> 00:27:08,719 Speaker 1: So after this show, you'll have two hours, if you'll 488 00:27:08,720 --> 00:27:12,080 Speaker 1: live in Pennsylvania to go vote. I've made my case 489 00:27:12,680 --> 00:27:15,879 Speaker 1: why I supported Donald Trump in twenty sixteen and twenty twenty. 490 00:27:16,040 --> 00:27:18,560 Speaker 1: I've made my case why if I lived in Pennsylvania 491 00:27:18,600 --> 00:27:22,280 Speaker 1: I'd support Oz. You do have a vote in Pennsylvania, Linda, 492 00:27:22,359 --> 00:27:24,720 Speaker 1: have you voted your No, I'm voting after the show. 493 00:27:24,800 --> 00:27:26,960 Speaker 1: I'll be one of those people. And I'm not going 494 00:27:27,040 --> 00:27:28,520 Speaker 1: to ask you who you're voting for. It it's none 495 00:27:28,560 --> 00:27:33,399 Speaker 1: of my business. But I will say this that it is. 496 00:27:34,280 --> 00:27:38,160 Speaker 1: This seat is so critical. I have made the case. 497 00:27:38,320 --> 00:27:40,479 Speaker 1: There's not much I can do. I'm at peace with myself. 498 00:27:41,200 --> 00:27:43,359 Speaker 1: I'm at peace because I know that I told the truth. 499 00:27:43,800 --> 00:27:47,359 Speaker 1: I know who Oz is. I know he's an America First, 500 00:27:47,520 --> 00:27:51,320 Speaker 1: make America great again, save America, conservative through and through. 501 00:27:51,359 --> 00:27:54,159 Speaker 1: I know he's pro life. I know he's pro Second Amendment. 502 00:27:54,240 --> 00:27:56,639 Speaker 1: I know his pro energy, independence, and I know he's 503 00:27:56,680 --> 00:27:58,879 Speaker 1: a fighter, and I know that he can win the 504 00:27:58,960 --> 00:28:03,000 Speaker 1: general election. But I think the Buckley CIA, I think 505 00:28:03,040 --> 00:28:05,359 Speaker 1: that's a valid point. Right. So at the end of 506 00:28:05,400 --> 00:28:07,159 Speaker 1: the day, when you go and I'm just saying this 507 00:28:07,240 --> 00:28:09,280 Speaker 1: this morning, I'm gonna talk to Jeff and to Rose, 508 00:28:09,960 --> 00:28:12,320 Speaker 1: but we're all here and we're all talking about what's happening. 509 00:28:12,359 --> 00:28:14,640 Speaker 1: And I think the bottom line is for anybody voting 510 00:28:14,720 --> 00:28:17,560 Speaker 1: in any state today in a primary, is you have 511 00:28:17,640 --> 00:28:19,920 Speaker 1: to vote your conscience, but you also have to vote 512 00:28:19,960 --> 00:28:22,920 Speaker 1: and make your vote count because you're voting for somebody 513 00:28:23,119 --> 00:28:25,840 Speaker 1: that has to go up against a machine, and the 514 00:28:25,960 --> 00:28:28,639 Speaker 1: machine is destroying our country. So if you would like 515 00:28:28,920 --> 00:28:32,719 Speaker 1: to be a part of literally writing the ship, then 516 00:28:32,800 --> 00:28:34,720 Speaker 1: you need to vote for the person that is going 517 00:28:34,840 --> 00:28:39,000 Speaker 1: to win when the general election comes. And right now 518 00:28:39,480 --> 00:28:42,360 Speaker 1: people are getting all caught up and this whole idea 519 00:28:42,480 --> 00:28:44,600 Speaker 1: of well, this one's not a conservative and this one 520 00:28:44,720 --> 00:28:46,800 Speaker 1: is a conservative, and this one says how I feel, 521 00:28:46,840 --> 00:28:49,400 Speaker 1: And it's like, you need to understand something. We have 522 00:28:49,560 --> 00:28:51,840 Speaker 1: to vote in a way that is going to get 523 00:28:51,920 --> 00:28:53,320 Speaker 1: us to the goal we need to get to you 524 00:28:53,440 --> 00:28:55,080 Speaker 1: want to win a battle. I want to win the war. 525 00:28:55,800 --> 00:28:57,760 Speaker 1: That's where we're at here, and I need to vote 526 00:28:57,760 --> 00:29:00,040 Speaker 1: for the person that's going to make sure that we 527 00:29:00,200 --> 00:29:02,680 Speaker 1: get an R in this state because it's not doing 528 00:29:02,760 --> 00:29:04,560 Speaker 1: so good under where we are right now, and that's 529 00:29:04,600 --> 00:29:07,320 Speaker 1: what people need to think about. It's not and that's 530 00:29:07,360 --> 00:29:11,600 Speaker 1: why I've been very clear on what matters now. There 531 00:29:11,640 --> 00:29:16,320 Speaker 1: are primaries in North Carolina. I really do believe that 532 00:29:16,600 --> 00:29:19,000 Speaker 1: Bud who we had on last week, the Senate candidate, 533 00:29:19,160 --> 00:29:22,440 Speaker 1: is going to win that Senate primary. Yeah, we're also 534 00:29:22,520 --> 00:29:28,000 Speaker 1: looking at Oregon and Kentucky, Ida, Hucky, North Carolina, Pennsylvania, Oregon. 535 00:29:28,440 --> 00:29:30,920 Speaker 1: It's it's going to be a very very interesting night. 536 00:29:31,480 --> 00:29:34,600 Speaker 1: And I was surprised that the President. I don't know 537 00:29:34,720 --> 00:29:38,840 Speaker 1: what's going on with Madison Cawthorne. I don't, but the 538 00:29:38,960 --> 00:29:42,360 Speaker 1: President said he's been acting crazy. You know, we need 539 00:29:42,440 --> 00:29:44,200 Speaker 1: to forgive him and give him one more chance, which 540 00:29:44,320 --> 00:29:47,600 Speaker 1: I think I just found an interesting remark because that's 541 00:29:47,640 --> 00:29:52,520 Speaker 1: always kind of been my position. You know, if Kathy 542 00:29:52,600 --> 00:29:55,840 Speaker 1: would have owned taken ownership of things she said in 543 00:29:55,880 --> 00:29:59,560 Speaker 1: the past and apologized and said I'm a different person today, 544 00:29:59,760 --> 00:30:03,120 Speaker 1: and meant it, and it was sincere. I think she'd 545 00:30:03,120 --> 00:30:05,200 Speaker 1: be in a very different position than she is, right, agreed, 546 00:30:05,760 --> 00:30:13,959 Speaker 1: I completely a nobody ever wants to do that. All Right, 547 00:30:14,000 --> 00:30:16,040 Speaker 1: that's gonna wrap things up for today. All right. Full 548 00:30:16,280 --> 00:30:20,800 Speaker 1: coverage of the primaries. We got North Carolina, Kentucky, Pennsylvania, Oregon. 549 00:30:21,000 --> 00:30:24,440 Speaker 1: Full coverage Bill Hammer at the Big Board tonight, Kelly 550 00:30:24,520 --> 00:30:29,040 Speaker 1: Anne Rines, New Gingrich Leo two point zero Terrell and 551 00:30:29,320 --> 00:30:32,840 Speaker 1: Joe contra Eraldo, Greg Jarrett, and much more. Oh and yes, 552 00:30:32,920 --> 00:30:36,239 Speaker 1: we'll cover MSD n C saying Democrats will win if 553 00:30:36,240 --> 00:30:39,120 Speaker 1: they just brand Republicans as racist. Anyway, we'll see you 554 00:30:39,160 --> 00:30:42,360 Speaker 1: tonight at nine. Back here tomorrow. Thank you for making 555 00:30:42,440 --> 00:30:43,280 Speaker 1: the show possible.