1 00:00:00,000 --> 00:00:02,240 Speaker 1: All right, noose round up information overloaw the hour eight 2 00:00:02,320 --> 00:00:04,440 Speaker 1: hundred nine for one, Shawn. Our number will get to 3 00:00:04,440 --> 00:00:08,320 Speaker 1: your calls, I promise coming up this hour. So USA 4 00:00:08,400 --> 00:00:12,560 Speaker 1: Today yesterday comes out with a pole. Biden's approval again 5 00:00:12,840 --> 00:00:16,720 Speaker 1: in the thirties, in this case thirty eight percent. Now 6 00:00:16,840 --> 00:00:21,360 Speaker 1: Kamala Harris is even lower. She comes in at twenty 7 00:00:21,560 --> 00:00:26,880 Speaker 1: eight percent. I mean, you really can't have numbers this 8 00:00:27,000 --> 00:00:29,760 Speaker 1: bad unless you're really screwing up. Now. As I've been 9 00:00:29,760 --> 00:00:33,720 Speaker 1: pointing out so often, there's not a single policy of 10 00:00:33,800 --> 00:00:36,600 Speaker 1: Joe Biden and Kamala Harris that I can point to 11 00:00:37,520 --> 00:00:40,880 Speaker 1: where they have been successful. And they've just now doubled 12 00:00:40,880 --> 00:00:44,240 Speaker 1: down on their new Green Deal socialism. You know, Joe Biden, 13 00:00:44,240 --> 00:00:45,839 Speaker 1: I don't know. I don't know what's force. As we 14 00:00:45,840 --> 00:00:49,919 Speaker 1: were discussing earlier, the fact that Peter Doocey asks him 15 00:00:49,960 --> 00:00:52,920 Speaker 1: about his own Department of Justice policy to pay out 16 00:00:52,960 --> 00:00:56,960 Speaker 1: four hundred and fifty thousand dollars to illegal immigrants if 17 00:00:57,000 --> 00:00:59,400 Speaker 1: in fact there was family separation and the course of 18 00:00:59,440 --> 00:01:03,240 Speaker 1: them breaking our laws, not respecting our borders and sovereignty, 19 00:01:04,480 --> 00:01:07,560 Speaker 1: or the fact that he said it's garbage that's not 20 00:01:07,600 --> 00:01:10,399 Speaker 1: going to happen, and now he's vigorously defending it because 21 00:01:10,400 --> 00:01:13,679 Speaker 1: I guess somebody told him that's what the bill is. Anyway, 22 00:01:13,760 --> 00:01:17,280 Speaker 1: sixty four percent of registered voters want to dump Biden, 23 00:01:17,480 --> 00:01:22,240 Speaker 1: period and you have a flood of House Democrats considering 24 00:01:22,280 --> 00:01:26,640 Speaker 1: retirement after last week's election debacle. Here to take a 25 00:01:26,680 --> 00:01:30,080 Speaker 1: look at where we are at this snapshot of where 26 00:01:30,080 --> 00:01:33,320 Speaker 1: the Biden presidency is one year out of the mid terms. 27 00:01:33,800 --> 00:01:37,960 Speaker 1: We have John McLaughlin, co founder mclocklin Associates. Matt Towery 28 00:01:38,360 --> 00:01:42,000 Speaker 1: is the a poster insider advantage, Robert Kaheley is with 29 00:01:42,040 --> 00:01:45,320 Speaker 1: the Trafalgar Group, three of the best posters by far 30 00:01:45,360 --> 00:01:47,560 Speaker 1: in the country. Welcome all of you back to the program. 31 00:01:49,080 --> 00:01:52,360 Speaker 1: Thank you. Look it's see it's a year out. But 32 00:01:53,800 --> 00:01:56,000 Speaker 1: as I've been saying, Matt, Terry will start with you, 33 00:01:56,600 --> 00:01:58,280 Speaker 1: it is not a single thing I can point to, 34 00:01:58,320 --> 00:02:00,720 Speaker 1: and I'm trying to be objective here is not a 35 00:02:00,800 --> 00:02:03,640 Speaker 1: single thing policy that I can point to the Biden 36 00:02:03,800 --> 00:02:08,640 Speaker 1: has supported that has benefited anybody. No, I mean, it's 37 00:02:08,680 --> 00:02:11,880 Speaker 1: been a complete debacle. And what's interesting, Sean, is that 38 00:02:12,000 --> 00:02:14,760 Speaker 1: you know for years the poet numbers you would see 39 00:02:14,760 --> 00:02:17,840 Speaker 1: for approval ratings other than maybe Gallop, I felt like 40 00:02:17,880 --> 00:02:20,680 Speaker 1: the collection data collection system in the way they waited 41 00:02:20,680 --> 00:02:22,880 Speaker 1: to have always endured to the benefit of the democrat. 42 00:02:23,360 --> 00:02:27,920 Speaker 1: So who knows how low this really is. What I 43 00:02:27,960 --> 00:02:30,200 Speaker 1: know is you can't get much lower as a Democrat 44 00:02:30,240 --> 00:02:33,120 Speaker 1: with the posters we have out there. He just is 45 00:02:33,160 --> 00:02:35,600 Speaker 1: And as you said, he's doubling down on things. It 46 00:02:35,639 --> 00:02:39,160 Speaker 1: doesn't make sense that you would double down on bad 47 00:02:39,200 --> 00:02:42,600 Speaker 1: policies when you're dropping like a rock. But he's doing that, 48 00:02:43,720 --> 00:02:46,160 Speaker 1: you know, Robert. If you look at, for example, the 49 00:02:46,240 --> 00:02:50,960 Speaker 1: disaster that is Afghanistan, most Americans now are becoming more 50 00:02:50,960 --> 00:02:54,440 Speaker 1: and more aware that even though he inherited three vaccines 51 00:02:54,680 --> 00:02:58,320 Speaker 1: and monoclonal l antibodies as a therapeutic for COVID, we 52 00:02:58,400 --> 00:03:01,320 Speaker 1: have more people in America that died this year then 53 00:03:01,400 --> 00:03:04,760 Speaker 1: died in twenty twenty. And that's pretty much the entire 54 00:03:04,840 --> 00:03:08,639 Speaker 1: campaign he ran on from his basement bunker in twenty twenty. 55 00:03:08,840 --> 00:03:11,960 Speaker 1: Then you look at, for example, you know, Jennifer Granholm 56 00:03:12,080 --> 00:03:15,959 Speaker 1: laughing hysterically because oh, you know, what are you going 57 00:03:16,040 --> 00:03:19,680 Speaker 1: to do to solve the price of gasoline and energy 58 00:03:19,720 --> 00:03:23,840 Speaker 1: the lifeblood of our economy? Ah? She blames the cartels 59 00:03:23,880 --> 00:03:27,760 Speaker 1: and blames OPEC. They've been begging, op OPEC keeps rejecting them. 60 00:03:28,000 --> 00:03:29,840 Speaker 1: And all Joe really needs to do is make a 61 00:03:29,840 --> 00:03:33,880 Speaker 1: phone call to Texas, Alaska, North Dakota, and Oklahoma and 62 00:03:33,960 --> 00:03:35,960 Speaker 1: we can go right back to the Trump policies that 63 00:03:35,960 --> 00:03:38,960 Speaker 1: we're working. Then you can add inflation and the impact 64 00:03:39,240 --> 00:03:42,240 Speaker 1: that energy prices are having on every single thing that 65 00:03:42,280 --> 00:03:44,800 Speaker 1: we buy. It's you know, thirty bucks more to fill 66 00:03:44,880 --> 00:03:47,720 Speaker 1: up your car, it's you know, a thousand more dollars 67 00:03:47,720 --> 00:03:51,160 Speaker 1: to heat your home in the wintertime. And then you 68 00:03:51,200 --> 00:03:54,240 Speaker 1: look at the disaster at the border, including paying illegal 69 00:03:54,280 --> 00:03:56,880 Speaker 1: immigrants four hundred and fifty thousand dollars, which he's now 70 00:03:56,920 --> 00:04:04,440 Speaker 1: passionately defending. Well, yeah, your first question with did you 71 00:04:04,480 --> 00:04:07,480 Speaker 1: ask if many who was happy? Well, I can tell 72 00:04:07,480 --> 00:04:09,440 Speaker 1: you was happy. There's a few environment lests that are happy, 73 00:04:09,480 --> 00:04:10,840 Speaker 1: and there are a few people out there who don't 74 00:04:10,840 --> 00:04:12,560 Speaker 1: really want to work and like getting paid to stay 75 00:04:12,600 --> 00:04:15,320 Speaker 1: home and they're happy. But none of these things represent 76 00:04:15,400 --> 00:04:18,119 Speaker 1: the mass walk of Americans and how they feel about 77 00:04:18,160 --> 00:04:22,760 Speaker 1: any of these issues. You take John McLaughlin, by the way, 78 00:04:22,839 --> 00:04:24,880 Speaker 1: I think you're going to see real panic on the 79 00:04:24,920 --> 00:04:27,480 Speaker 1: Democrat side because they got to send a message on 80 00:04:27,520 --> 00:04:32,280 Speaker 1: Tuesday that I mean, Matt and Robert are great pulsers. 81 00:04:32,360 --> 00:04:34,760 Speaker 1: Their poles are the most accurate that I've seen. But 82 00:04:34,920 --> 00:04:36,839 Speaker 1: let me tell you those of us who engage in 83 00:04:36,880 --> 00:04:40,760 Speaker 1: the campaign politics, we looked at the disapproval of Biden 84 00:04:40,800 --> 00:04:44,040 Speaker 1: and said every vote we can get exists there. And 85 00:04:44,080 --> 00:04:47,599 Speaker 1: there wasn't just wins in Virginia, where Biden had a 86 00:04:47,640 --> 00:04:52,440 Speaker 1: fifty six disapproval. In two blue New York, the New 87 00:04:52,480 --> 00:04:55,600 Speaker 1: York State Conservative Party had a huge win across the 88 00:04:55,640 --> 00:04:59,400 Speaker 1: state where their chairman Jerry Kassar and Alan Ruts on 89 00:04:59,440 --> 00:05:03,120 Speaker 1: their executive They went after Proposition one, which would count 90 00:05:03,120 --> 00:05:07,000 Speaker 1: in legals in redistricting, Prop three, which would be same 91 00:05:07,080 --> 00:05:10,280 Speaker 1: day registration a state with his no voter ID, and 92 00:05:10,760 --> 00:05:13,760 Speaker 1: the fourth thing they went after was no absent no 93 00:05:13,880 --> 00:05:17,480 Speaker 1: excuse absentees that would have ballot harvesting. We won those 94 00:05:17,520 --> 00:05:20,360 Speaker 1: three props with the no vote sixty forty in New 95 00:05:20,440 --> 00:05:23,960 Speaker 1: York State, and then in Nassau County that you're very 96 00:05:23,960 --> 00:05:28,400 Speaker 1: familiar with, the voters gave us a Republican DA because 97 00:05:28,680 --> 00:05:31,840 Speaker 1: the Democrat had helped RT Cassel spail, and they gave 98 00:05:31,920 --> 00:05:37,159 Speaker 1: us A county executive in Bruce Blakeman, because seven out 99 00:05:37,160 --> 00:05:41,440 Speaker 1: of ten voters reassessment had raised their taxes. So you're 100 00:05:41,520 --> 00:05:44,520 Speaker 1: seeing the path to Republican wins for twenty twenty two 101 00:05:45,000 --> 00:05:49,240 Speaker 1: exists in Biden's disapproval rating. And every Republican strategist knows 102 00:05:49,279 --> 00:05:51,800 Speaker 1: and every Democrats strategist knows it. And you're going to 103 00:05:51,839 --> 00:05:55,520 Speaker 1: see the Democrats got a problem because if they keep 104 00:05:55,560 --> 00:05:59,800 Speaker 1: making them do crazy things, Republicans will keep winning elections. Now, 105 00:05:59,839 --> 00:06:03,520 Speaker 1: the three of you have this in common. The all 106 00:06:03,600 --> 00:06:06,960 Speaker 1: three of you predicted twenty sixteen, and all three of 107 00:06:07,000 --> 00:06:09,880 Speaker 1: you were dead on accurate about twenty twenty, and all 108 00:06:09,920 --> 00:06:12,960 Speaker 1: three of you were right about the Georgia Senate runoffs, 109 00:06:13,000 --> 00:06:15,440 Speaker 1: and all three of you were right about the Virginia's 110 00:06:16,279 --> 00:06:20,839 Speaker 1: the Virginia governor's race, and you got awfully close. Robert 111 00:06:20,920 --> 00:06:23,520 Speaker 1: Kaheley in particular, Matt, I don't think you pulled New 112 00:06:23,600 --> 00:06:27,520 Speaker 1: Jersey in terms of you saw this late break towards 113 00:06:27,600 --> 00:06:31,440 Speaker 1: the Republican in that race against Governor Murphy nearly lost. 114 00:06:32,160 --> 00:06:37,040 Speaker 1: So I noticed that on real clear politics. Both Robert 115 00:06:37,080 --> 00:06:40,839 Speaker 1: and Matt put together an analysis of the Republican Party 116 00:06:40,880 --> 00:06:45,360 Speaker 1: and what it means, post Virginia, post New Jersey, Matt, 117 00:06:45,360 --> 00:06:49,440 Speaker 1: I'll throw it to you first. Well, one thing it means. 118 00:06:49,480 --> 00:06:51,400 Speaker 1: And Robert and I both saw this, and I know 119 00:06:51,480 --> 00:06:54,400 Speaker 1: that John seen as well. This is silly notion being 120 00:06:54,440 --> 00:06:57,960 Speaker 1: floated by these establishment Republicans that, oh, you don't need 121 00:06:58,040 --> 00:07:00,719 Speaker 1: Donald Trump anymore to win a race. You run on 122 00:07:00,760 --> 00:07:03,920 Speaker 1: the issues and don't don't involve Trump because after all, 123 00:07:04,000 --> 00:07:06,760 Speaker 1: he's just He's a necessary evil when you need him. 124 00:07:06,960 --> 00:07:09,720 Speaker 1: That is idiotic. And Robert and I wrote about that 125 00:07:09,840 --> 00:07:12,520 Speaker 1: today to refute it, because we keep hearing this from 126 00:07:12,560 --> 00:07:16,280 Speaker 1: these so called experts. Trump is needed. He's the reason 127 00:07:16,360 --> 00:07:18,520 Speaker 1: that base turned out in the first place. And those 128 00:07:18,600 --> 00:07:21,040 Speaker 1: issues that they say are so important. There are all 129 00:07:21,080 --> 00:07:23,840 Speaker 1: the issues that Donald Trump addressed that no one in 130 00:07:23,880 --> 00:07:27,040 Speaker 1: the Republican party would until he was elected. So we 131 00:07:27,440 --> 00:07:30,360 Speaker 1: find that to be the most amazing thing in Virginia. Yes, 132 00:07:30,480 --> 00:07:33,120 Speaker 1: young King did not have Trump come in and campaigned 133 00:07:33,160 --> 00:07:35,040 Speaker 1: for him, but Trump was very much a part of 134 00:07:35,040 --> 00:07:38,120 Speaker 1: that race. As a matter of fact, they were endless ads. 135 00:07:38,160 --> 00:07:39,960 Speaker 1: You show them on your TV show where they kept 136 00:07:39,960 --> 00:07:42,760 Speaker 1: saying Trump, Trump, Trump, Trump, Trump, over and over and 137 00:07:42,840 --> 00:07:45,320 Speaker 1: over again. But yet it seems like that didn't hurt 138 00:07:45,320 --> 00:07:47,880 Speaker 1: Younkin a bit. He won by two points, the two 139 00:07:47,880 --> 00:07:51,160 Speaker 1: points that we had polled as the winning margin. So 140 00:07:51,280 --> 00:07:53,640 Speaker 1: that's what I'm in that group too. I said it 141 00:07:53,640 --> 00:07:55,480 Speaker 1: would be a two point race. We all turned out 142 00:07:55,480 --> 00:07:59,520 Speaker 1: to be right, and I just follow you guys, and 143 00:07:59,560 --> 00:08:04,040 Speaker 1: then my my odds go up dramatically. Um, Robert, why 144 00:08:04,040 --> 00:08:06,080 Speaker 1: don't you add to that? And then we'll get John's 145 00:08:06,080 --> 00:08:09,960 Speaker 1: take on it. Well, the main thing that we notice is, 146 00:08:10,040 --> 00:08:13,040 Speaker 1: you know, you watch the Democrat Party, you eat itself 147 00:08:13,120 --> 00:08:16,040 Speaker 1: and falling on itself, and this is something we cannot 148 00:08:16,040 --> 00:08:18,920 Speaker 1: fall victim too, whether we like it or not. There 149 00:08:18,960 --> 00:08:20,840 Speaker 1: and then a lot of Republicans who don't. But the 150 00:08:20,880 --> 00:08:24,200 Speaker 1: modern Republican Party is not the George H. W. Bush Party. 151 00:08:24,240 --> 00:08:26,480 Speaker 1: It's the George H. W. Bush Party. Plus a lot 152 00:08:26,480 --> 00:08:30,840 Speaker 1: of the Ross Piova voters and those blue collar regular 153 00:08:30,880 --> 00:08:35,800 Speaker 1: folks are a key part to this coalition. And you know, 154 00:08:35,880 --> 00:08:38,000 Speaker 1: Trump kind of brought a party with a you know, 155 00:08:38,040 --> 00:08:40,319 Speaker 1: the guy who plays golf three times a week and 156 00:08:40,600 --> 00:08:42,760 Speaker 1: the lady who works at a restaurant as waitress can 157 00:08:43,080 --> 00:08:45,400 Speaker 1: vote for the same candidate. And you know, we we 158 00:08:45,520 --> 00:08:48,400 Speaker 1: have to have this coalition to win and to running 159 00:08:48,440 --> 00:08:51,920 Speaker 1: people off and kind of demonize people and suggesting that 160 00:08:51,960 --> 00:08:54,600 Speaker 1: we don't we don't need our full coalition in eighteen 161 00:08:54,679 --> 00:08:57,280 Speaker 1: eighty is the president the president supporter and not a 162 00:08:57,280 --> 00:08:59,160 Speaker 1: good way to win elections. We learn that in the 163 00:08:59,160 --> 00:09:02,480 Speaker 1: twenty twenty twenty twenty one runoff in Georgia, and we 164 00:09:02,520 --> 00:09:04,680 Speaker 1: went into that in great depth in the column and 165 00:09:04,720 --> 00:09:07,400 Speaker 1: how they blew the campaign on that one. But I 166 00:09:07,480 --> 00:09:09,719 Speaker 1: think it's a very important message. This party has got 167 00:09:09,720 --> 00:09:13,240 Speaker 1: to say, unite it and that means I'll aspect John, 168 00:09:13,320 --> 00:09:15,640 Speaker 1: what's your take on it. Well, the ones who are 169 00:09:15,720 --> 00:09:18,599 Speaker 1: spinning that they should walk away from Trump are the 170 00:09:18,640 --> 00:09:21,439 Speaker 1: same ones who blew the twenty twelve race for Romney, 171 00:09:21,720 --> 00:09:23,600 Speaker 1: and it's and I, you know, I got to deal 172 00:09:23,640 --> 00:09:26,599 Speaker 1: with these people in campaigns and in Virginia when you 173 00:09:26,679 --> 00:09:30,160 Speaker 1: look at the facts, forty six percent of all voters 174 00:09:30,160 --> 00:09:33,200 Speaker 1: said that they had voted for Trump in twenty twenty. 175 00:09:33,559 --> 00:09:37,000 Speaker 1: Guess what the Biden voters were forty six percent in 176 00:09:37,000 --> 00:09:40,319 Speaker 1: that turnout. It's so the Trump voters came out and 177 00:09:40,440 --> 00:09:44,400 Speaker 1: the numbers on the rural vote where the Trump voters 178 00:09:44,440 --> 00:09:48,079 Speaker 1: lived was higher. So Trump all, like you said, all 179 00:09:48,120 --> 00:09:50,800 Speaker 1: the attacks on Trump backfired in the base came out 180 00:09:51,160 --> 00:09:54,280 Speaker 1: and the Trump voters were there. And if the Republicans 181 00:09:54,320 --> 00:09:58,440 Speaker 1: want to guarantee losing future elections, just walk away from 182 00:09:58,480 --> 00:10:01,240 Speaker 1: Donald Trump. Because Trump's being He's delivered, they reacted on 183 00:10:01,880 --> 00:10:04,760 Speaker 1: when they got attacked, and they're they're ready to win 184 00:10:04,800 --> 00:10:07,240 Speaker 1: more elections in twenty twenty two. And I can hardly 185 00:10:07,280 --> 00:10:09,199 Speaker 1: wait for the primary, so we can get the Rhinos 186 00:10:09,200 --> 00:10:11,280 Speaker 1: out of the party. All right, quick break more of 187 00:10:11,320 --> 00:10:15,320 Speaker 1: our posters. Matt Towery and Robert Kahiley and John McLaughlin 188 00:10:15,400 --> 00:10:17,520 Speaker 1: on the other side. We continue now with our posters. 189 00:10:17,559 --> 00:10:19,200 Speaker 1: Then we'll get to your calls eight hundred and nine 190 00:10:19,280 --> 00:10:22,840 Speaker 1: four one Sean. But we continue with Robert Kahley, Matt Towery, 191 00:10:22,880 --> 00:10:25,440 Speaker 1: and John McLaughlin. I mean, the agenda is set in 192 00:10:25,559 --> 00:10:28,680 Speaker 1: my view, and that's the Trump agenda, and that is okay. 193 00:10:28,720 --> 00:10:33,440 Speaker 1: We believe in liberty, freedom, capitalism, our constitution less bureaucracy, 194 00:10:33,679 --> 00:10:38,480 Speaker 1: Donald Trump, Check lower taxes. Check. We want safe and 195 00:10:38,520 --> 00:10:42,640 Speaker 1: secure boarders, Check energy. Independency achieved that for the first 196 00:10:42,640 --> 00:10:46,400 Speaker 1: time in seventy five years. Check constitutionalists on the bench, 197 00:10:46,679 --> 00:10:52,480 Speaker 1: Check free and fair trade, check law and order, check 198 00:10:53,240 --> 00:10:55,360 Speaker 1: choice in school. They didn't get it done, but they 199 00:10:55,440 --> 00:10:57,920 Speaker 1: definitely are pushing for it. They're the party of choice 200 00:10:57,920 --> 00:11:02,080 Speaker 1: in school and of course abroad. It's peace through strength 201 00:11:02,160 --> 00:11:05,680 Speaker 1: and I don't see any fear of Joe Biden with 202 00:11:05,760 --> 00:11:10,120 Speaker 1: any of our enemies. So the agenda is the agenda? 203 00:11:10,320 --> 00:11:13,320 Speaker 1: What do all three of you say to Yeah, it's 204 00:11:13,320 --> 00:11:16,560 Speaker 1: the Trump agenda. But maybe if Donald Trump wouldn't be 205 00:11:16,760 --> 00:11:21,360 Speaker 1: as compative as he is, Matt Well, you know my opinion. 206 00:11:21,400 --> 00:11:25,360 Speaker 1: I think that's misguided for them to say that. I mean, 207 00:11:25,360 --> 00:11:28,520 Speaker 1: Trump is what he is. He delivers his message. Well, 208 00:11:29,920 --> 00:11:31,959 Speaker 1: would we all change maybe a little bits and pieces 209 00:11:31,960 --> 00:11:33,560 Speaker 1: of the way he does it? Yes, but you're not 210 00:11:33,600 --> 00:11:36,200 Speaker 1: going to change Donald Trump. And in the end you 211 00:11:36,280 --> 00:11:40,080 Speaker 1: get a messenger who they follow, people listen to. I'll 212 00:11:40,080 --> 00:11:42,920 Speaker 1: pay you, Sehan very quickly. The fact that the Republicans 213 00:11:42,920 --> 00:11:45,320 Speaker 1: in Ohio are trying the Republicans are trying to write 214 00:11:45,400 --> 00:11:47,880 Speaker 1: Jim Jordan out of his seat tells you that we 215 00:11:47,920 --> 00:11:49,800 Speaker 1: still have a lot of people out there who just 216 00:11:50,200 --> 00:11:53,200 Speaker 1: don't get it, and the Republicans need to all wise 217 00:11:53,320 --> 00:11:55,360 Speaker 1: up because it's a great chance to take the I 218 00:11:55,400 --> 00:11:58,679 Speaker 1: think there's this effort among establishment people to purge Trump 219 00:11:58,720 --> 00:12:02,560 Speaker 1: from the party. Now, what a lot of the compativeness. Remember, 220 00:12:02,720 --> 00:12:06,240 Speaker 1: I've never seen any one president in my lifetime, by 221 00:12:06,320 --> 00:12:10,959 Speaker 1: a long shot, under fire light about for three solid 222 00:12:11,080 --> 00:12:16,520 Speaker 1: years this whole hoax Russia collusion BS narrative, but that 223 00:12:16,520 --> 00:12:23,320 Speaker 1: that took three years of his presidency away, absolutely no 224 00:12:23,320 --> 00:12:25,280 Speaker 1: doubt about it. And it was complete waste of time, 225 00:12:25,760 --> 00:12:30,720 Speaker 1: totally complete waste of time. And Robert, that's exactly right. 226 00:12:30,960 --> 00:12:35,359 Speaker 1: And what it Trump, what Trump represents is he represents 227 00:12:35,920 --> 00:12:38,199 Speaker 1: a kind of a return to the you know, the 228 00:12:38,480 --> 00:12:42,480 Speaker 1: kitchen table politics. There are those who want to abandon that, 229 00:12:42,520 --> 00:12:46,400 Speaker 1: you know, the like mcgaughall was talking about the Romney race. 230 00:12:46,640 --> 00:12:49,760 Speaker 1: I mean literally, Romney was the guy who shipped jobs overseas. 231 00:12:49,920 --> 00:12:52,240 Speaker 1: He was the Republican nominee, for God's sake. I mean, 232 00:12:52,280 --> 00:12:54,840 Speaker 1: this is exactly how far this party has come. And 233 00:12:54,920 --> 00:12:57,480 Speaker 1: so we now have a party that is it is 234 00:12:57,480 --> 00:12:59,640 Speaker 1: standing up for life, standing up for the Second Amendment, 235 00:13:00,080 --> 00:13:02,280 Speaker 1: ending up for jobs in America. And there are a 236 00:13:02,280 --> 00:13:04,640 Speaker 1: lot of Republicans who would just as go back to 237 00:13:04,679 --> 00:13:06,960 Speaker 1: a party that stood up for none of those and 238 00:13:07,320 --> 00:13:09,760 Speaker 1: get rid of these issues that make them uncomfortable because 239 00:13:09,840 --> 00:13:12,480 Speaker 1: they're willing to be just a little less liberal than 240 00:13:12,520 --> 00:13:15,360 Speaker 1: the Democratic Party, and that's not where the public is. Well. 241 00:13:15,400 --> 00:13:19,239 Speaker 1: I think that the desire to purge by the establishment. 242 00:13:19,600 --> 00:13:23,040 Speaker 1: It's no longer the establishment's party. Jean McLaughlin. They're not 243 00:13:23,080 --> 00:13:26,920 Speaker 1: going to win. And after watching Joe Biden fail so 244 00:13:26,960 --> 00:13:30,720 Speaker 1: spectacularly in such a short period of time, I'll take 245 00:13:30,880 --> 00:13:35,400 Speaker 1: mean tweets and energy independence and secure boarders and lower 246 00:13:35,480 --> 00:13:40,080 Speaker 1: taxes and a better economy and the world respecting us, 247 00:13:40,120 --> 00:13:46,800 Speaker 1: which they obviously don't respect Joe Biden and especially hostile regimes. Absolutely, 248 00:13:46,840 --> 00:13:50,440 Speaker 1: because this is the party the Hartley Indo America and 249 00:13:50,559 --> 00:13:53,960 Speaker 1: the Party of working Americans. And basically what you're looking 250 00:13:53,960 --> 00:13:56,640 Speaker 1: at is the liberals. They're not liberals. I mean, they're 251 00:13:56,679 --> 00:14:00,839 Speaker 1: big government socialists. I mean, it's it's amazing, how I mean, 252 00:14:00,840 --> 00:14:04,280 Speaker 1: in our work for New Gingrich, they support American capitalism 253 00:14:04,320 --> 00:14:08,160 Speaker 1: seventy six percent over twenty four percent supporting big government socialism. 254 00:14:08,200 --> 00:14:11,040 Speaker 1: And when you look at this, you're saying, I'm working 255 00:14:11,080 --> 00:14:14,440 Speaker 1: Americans want to work. They don't believe in what Biden 256 00:14:14,480 --> 00:14:17,280 Speaker 1: and the Democrats are selling us, and we should we 257 00:14:17,320 --> 00:14:20,040 Speaker 1: should keep that base together because the country Club would 258 00:14:20,040 --> 00:14:23,360 Speaker 1: lose the election because the Trump bases rock solid on fire. 259 00:14:24,000 --> 00:14:27,080 Speaker 1: He would win a primary eighty one to fifteen, you know, 260 00:14:27,600 --> 00:14:30,600 Speaker 1: support opposed if he got into it. And in the meantime, 261 00:14:30,800 --> 00:14:32,880 Speaker 1: when you look at what the Democrats are doing or 262 00:14:32,920 --> 00:14:36,160 Speaker 1: the Republicans, the country club Republicans, you know, they'd rather 263 00:14:36,200 --> 00:14:38,880 Speaker 1: control their country club. It's like it's it's like all right. 264 00:14:39,080 --> 00:14:43,920 Speaker 1: Last exit question predictions. John McLaughlin. Will Donald Trump run 265 00:14:43,960 --> 00:14:47,320 Speaker 1: in twenty twenty four? They keep attacking him? You bet you. 266 00:14:48,160 --> 00:14:52,320 Speaker 1: I hope they Robert Kay will he run? Just like 267 00:14:52,440 --> 00:14:54,360 Speaker 1: John said, it kind of reminds me of Obama attacking 268 00:14:54,400 --> 00:14:56,680 Speaker 1: him in that dinner. Yeah, they keep bagging him, moaning 269 00:14:56,960 --> 00:15:00,360 Speaker 1: he's gonna slap back hard. Matt Towery, will he run? 270 00:15:00,960 --> 00:15:04,080 Speaker 1: And if yes, would he win? Yes? Because he's the 271 00:15:04,160 --> 00:15:06,320 Speaker 1: only one who can pull that base out at those 272 00:15:06,360 --> 00:15:09,760 Speaker 1: massive numbers he did last time. That'll be fascinating and 273 00:15:09,800 --> 00:15:12,320 Speaker 1: we could hopefully get the country back on the right track, 274 00:15:12,320 --> 00:15:16,040 Speaker 1: which is the most important. Thank you. Robert Kaheley, Matt Towery, 275 00:15:16,120 --> 00:15:18,880 Speaker 1: John McLaughlin eight hundred nine four one Sean is our number. 276 00:15:18,920 --> 00:15:20,200 Speaker 1: You want to be a part of the program. Your 277 00:15:20,240 --> 00:15:22,800 Speaker 1: calls are coming up next twenty five to the top 278 00:15:22,840 --> 00:15:24,480 Speaker 1: of the hour, eight hundred and nine four one, Sean, 279 00:15:24,520 --> 00:15:26,600 Speaker 1: you want to be a part of the program. Gale 280 00:15:26,680 --> 00:15:28,920 Speaker 1: is in the great state of Indiana. Hey, Gail, how 281 00:15:28,960 --> 00:15:32,120 Speaker 1: are you glad you called? Hi? Sean. It's great to 282 00:15:32,160 --> 00:15:40,240 Speaker 1: talk to you. Say, mean treats, save lives, mean tweets. 283 00:15:41,640 --> 00:15:45,680 Speaker 1: Oh well, I'll take mean tweets and a competent president 284 00:15:45,800 --> 00:15:48,880 Speaker 1: that knows how to get things done any day. Yes, 285 00:15:48,920 --> 00:15:52,120 Speaker 1: I would. Hey, I just wanted to call you. I'm 286 00:15:52,160 --> 00:15:56,320 Speaker 1: a nurse from Indiana and I have been a nurse 287 00:15:56,440 --> 00:16:00,760 Speaker 1: for over three decades and I had COVID in twenty 288 00:16:01,160 --> 00:16:04,720 Speaker 1: uh May of twenty and I also lost my job 289 00:16:04,880 --> 00:16:08,840 Speaker 1: on that very day that I got COVID, So I just, uh, oh, 290 00:16:08,920 --> 00:16:11,160 Speaker 1: well you get you get Why did you get fired? 291 00:16:11,200 --> 00:16:13,560 Speaker 1: Did you get fired? No, I didn't get hired. I 292 00:16:13,640 --> 00:16:17,400 Speaker 1: was a nurse consultant UM and so I stayed on 293 00:16:17,760 --> 00:16:20,560 Speaker 1: with the consulting group that I was or with the 294 00:16:20,640 --> 00:16:22,880 Speaker 1: organization that I was working with help them get their 295 00:16:23,600 --> 00:16:28,560 Speaker 1: UM system up. I was doing informatics consulting until they 296 00:16:28,600 --> 00:16:32,080 Speaker 1: got their COVID documentation up and running for the hospital 297 00:16:32,120 --> 00:16:34,520 Speaker 1: in the clinics. And then, of course you know when 298 00:16:34,520 --> 00:16:38,320 Speaker 1: you're closing uh service lines. You're not going to keep 299 00:16:38,360 --> 00:16:43,520 Speaker 1: a high paid consultant. So I was let go um 300 00:16:43,920 --> 00:16:46,520 Speaker 1: because of because of that, it's like a double whammy. 301 00:16:46,640 --> 00:16:49,240 Speaker 1: Oh you got you got COVID and by the way, 302 00:16:49,480 --> 00:16:51,440 Speaker 1: here's your pink slip. Have a good, have a good 303 00:16:51,480 --> 00:16:54,200 Speaker 1: couple of weeks. It was a double whammy. Yes, um, 304 00:16:54,240 --> 00:16:58,520 Speaker 1: so um you had mentioned last Um. I think it 305 00:16:58,560 --> 00:17:02,040 Speaker 1: was early last week or mid week that nurses and 306 00:17:02,120 --> 00:17:08,400 Speaker 1: other service industries get pensions. We in this great state 307 00:17:08,440 --> 00:17:11,520 Speaker 1: and Indiana do We are non unionized, so we do 308 00:17:11,560 --> 00:17:15,400 Speaker 1: not get pensions. So our thirty five years that we 309 00:17:15,400 --> 00:17:19,280 Speaker 1: work at the bedside and bake breaker backs and do 310 00:17:19,359 --> 00:17:21,760 Speaker 1: you get any four oh one k match? Do you 311 00:17:21,800 --> 00:17:26,960 Speaker 1: get any type of some You know, varies depending on 312 00:17:27,320 --> 00:17:30,560 Speaker 1: the organization that you work for and has changed over 313 00:17:30,600 --> 00:17:33,320 Speaker 1: the course of the years that I've worked as as 314 00:17:33,359 --> 00:17:36,280 Speaker 1: a nurse in the different organizations that I've worked for 315 00:17:37,160 --> 00:17:39,400 Speaker 1: in the state. Well, all my sisters at one point 316 00:17:39,400 --> 00:17:41,760 Speaker 1: in their life have been nurses, and they've all moved 317 00:17:41,800 --> 00:17:45,160 Speaker 1: on to other things for varying reasons and other careers. 318 00:17:45,200 --> 00:17:49,280 Speaker 1: But look, I guess it's a state by state thing. 319 00:17:49,320 --> 00:17:53,520 Speaker 1: It's a hospital by hospital thing. And I know that 320 00:17:54,040 --> 00:17:56,800 Speaker 1: it looks some places offer better benefits than others. That's 321 00:17:56,840 --> 00:17:59,920 Speaker 1: what it comes down to. And I'm just worried about people. 322 00:18:00,200 --> 00:18:02,920 Speaker 1: But what's that What I see is they're unionized, the 323 00:18:03,160 --> 00:18:08,919 Speaker 1: unionized groups like New York nurses or unionized California. Just 324 00:18:08,960 --> 00:18:11,760 Speaker 1: because I've been a consultant across the United States as 325 00:18:11,760 --> 00:18:19,160 Speaker 1: well as the you know internationally, UM Michigan, UM California, Michigan. 326 00:18:20,040 --> 00:18:22,600 Speaker 1: I'm not against unions. I'm against unions that will take 327 00:18:22,720 --> 00:18:26,160 Speaker 1: rank and file dollars and spend them on one political 328 00:18:26,200 --> 00:18:31,399 Speaker 1: party over another. I'm against unions. I think you should 329 00:18:31,440 --> 00:18:33,480 Speaker 1: have a choice whether you want to join the union 330 00:18:33,640 --> 00:18:37,680 Speaker 1: or not. And I know unions don't like that. I 331 00:18:37,760 --> 00:18:42,119 Speaker 1: do believe that if if some hospitals don't want unions, 332 00:18:42,119 --> 00:18:44,560 Speaker 1: they should have I believe in right to work states 333 00:18:44,560 --> 00:18:48,159 Speaker 1: for example, and which Democrats want to give back to 334 00:18:48,200 --> 00:18:51,080 Speaker 1: the unions. Because the unions donate so much money to 335 00:18:51,119 --> 00:18:54,280 Speaker 1: their political campaigns, They've they've got an unholy alliance with them. 336 00:18:55,200 --> 00:19:00,000 Speaker 1: Um there. But regardless, if people are willing to get 337 00:19:00,160 --> 00:19:03,840 Speaker 1: up this salary, whatever benefits they do have, and maybe 338 00:19:03,880 --> 00:19:05,879 Speaker 1: a four one came match whatever it happens to be 339 00:19:06,040 --> 00:19:10,560 Speaker 1: maybe a pension, the idea that the very people that 340 00:19:10,880 --> 00:19:14,600 Speaker 1: worked in the worst moments of COVID and COVID petree 341 00:19:14,680 --> 00:19:19,320 Speaker 1: dishes and COVID grenades, as I say every day, many 342 00:19:19,320 --> 00:19:22,600 Speaker 1: of them got COVID as a result, like you. And 343 00:19:22,840 --> 00:19:24,800 Speaker 1: now we're going to just say thanks, but no thanks. 344 00:19:24,840 --> 00:19:29,080 Speaker 1: You either do what we say. There's no there will 345 00:19:29,119 --> 00:19:33,000 Speaker 1: be no accommodation whatsoever. Number one, it seems unscientific to me. 346 00:19:33,040 --> 00:19:35,080 Speaker 1: And number two, it seems like a slap in the face. 347 00:19:35,240 --> 00:19:38,000 Speaker 1: It is very unscientific. In fact, I had my physical 348 00:19:38,119 --> 00:19:41,800 Speaker 1: last week and I point blank asked the provider. My 349 00:19:41,880 --> 00:19:45,159 Speaker 1: provider I've known since he was an intern. We worked together. 350 00:19:45,800 --> 00:19:47,960 Speaker 1: I was a new nurse and he was a resident 351 00:19:48,000 --> 00:19:50,800 Speaker 1: at the VA, and I point blank asked him, and 352 00:19:50,840 --> 00:19:54,280 Speaker 1: he could not meet me and meet I about I said, Look, 353 00:19:54,359 --> 00:19:57,560 Speaker 1: I have immunity. I've been donating convalescent platmus since I 354 00:19:57,600 --> 00:20:00,639 Speaker 1: got it. I still have high immunity. Why do I 355 00:20:00,680 --> 00:20:03,080 Speaker 1: have to take a vaccination. I don't take chicken pox. 356 00:20:03,160 --> 00:20:07,040 Speaker 1: You wouldn't give me a chicken pox vaccination if you 357 00:20:07,119 --> 00:20:09,960 Speaker 1: draw a tighter on me, and I have antibodies, So 358 00:20:10,040 --> 00:20:12,880 Speaker 1: what's the difference. I don't understand. And he gave me 359 00:20:13,960 --> 00:20:20,119 Speaker 1: some weak statistic of sudden cardiac death that they have 360 00:20:20,240 --> 00:20:25,359 Speaker 1: in you know, hot in athletic athletes that you know 361 00:20:25,400 --> 00:20:28,879 Speaker 1: they dropped dead on the field or whatever. It's like 362 00:20:28,960 --> 00:20:32,160 Speaker 1: one in forty thousand one to eighty thousand. And that's 363 00:20:32,240 --> 00:20:37,520 Speaker 1: for the statistics for the NIH. And he equated that 364 00:20:38,119 --> 00:20:42,160 Speaker 1: with COVID and I said, that's like apples and oranges. 365 00:20:42,200 --> 00:20:45,000 Speaker 1: You can't even compare the two of those as far 366 00:20:45,040 --> 00:20:47,960 Speaker 1: as the testing. So like if you tested all your 367 00:20:48,040 --> 00:20:52,000 Speaker 1: athletes and gave them Ecker. I'm just I want to 368 00:20:52,040 --> 00:20:55,200 Speaker 1: see when this study at Israel gets pure reviewed. We've 369 00:20:55,280 --> 00:20:59,119 Speaker 1: referred to it often because the early indications were and 370 00:20:59,160 --> 00:21:01,879 Speaker 1: this is a very big studied nearly eight hundred thousand people, 371 00:21:02,520 --> 00:21:07,600 Speaker 1: and what they the original results are showing is, especially 372 00:21:07,640 --> 00:21:10,800 Speaker 1: as it relates to the delta varying in particular, is 373 00:21:10,840 --> 00:21:15,760 Speaker 1: that people that had natural immunity were twenty seven times 374 00:21:15,920 --> 00:21:20,639 Speaker 1: less vulnerable than people that just had the vaccine. Now 375 00:21:20,760 --> 00:21:23,000 Speaker 1: it's got to be pure reviewed. I want to there's 376 00:21:23,040 --> 00:21:26,479 Speaker 1: got to be some follow up. But the early data is, 377 00:21:27,560 --> 00:21:31,320 Speaker 1: you know, it's very strong, and we kept getting lectured 378 00:21:31,320 --> 00:21:33,800 Speaker 1: about following the science. I'm a believer in science, and 379 00:21:33,840 --> 00:21:36,840 Speaker 1: I believe in the science of vaccination even but I'm 380 00:21:36,840 --> 00:21:40,880 Speaker 1: also a believer in natural immunity T cell immunity. We've 381 00:21:40,880 --> 00:21:43,560 Speaker 1: had enough doctors on and at the end of the 382 00:21:43,640 --> 00:21:46,920 Speaker 1: day too, I believe in freedom, medical privacy, and doctor 383 00:21:46,960 --> 00:21:50,200 Speaker 1: patient confidentiality. Nobody seems to want to talk about any 384 00:21:50,200 --> 00:21:53,600 Speaker 1: of these other issues besides us. So there's a lot 385 00:21:53,720 --> 00:21:57,200 Speaker 1: of issues of play here, and I'm concerned. Yeah, they've 386 00:21:57,200 --> 00:22:00,600 Speaker 1: been shoving hippo violations down as our throws since nineteen 387 00:22:00,680 --> 00:22:03,919 Speaker 1: ninety five as healthcare providers, and now we have to 388 00:22:03,960 --> 00:22:08,639 Speaker 1: freely say what our beliefs are, which I believe in 389 00:22:08,720 --> 00:22:13,440 Speaker 1: medical privacy, don't get me wrong, that's part of my 390 00:22:14,240 --> 00:22:18,000 Speaker 1: But why can't they find a way, whether it's a 391 00:22:18,080 --> 00:22:23,440 Speaker 1: religious exemption or maybe a rare health condition exemption, or 392 00:22:23,520 --> 00:22:28,320 Speaker 1: maybe because because because they don't people just naturally don't 393 00:22:28,320 --> 00:22:32,440 Speaker 1: want to get the vaccine for whatever reason, or those 394 00:22:32,440 --> 00:22:37,080 Speaker 1: that have natural immunity and they feel protected with natural immunity. Again, 395 00:22:37,359 --> 00:22:40,000 Speaker 1: I'm waiting for the full science to commend out of 396 00:22:40,080 --> 00:22:42,320 Speaker 1: Israel on this, which they're working on as we speak. 397 00:22:43,080 --> 00:22:45,879 Speaker 1: You know, why couldn't they find an accommodation. It would 398 00:22:45,880 --> 00:22:48,600 Speaker 1: seem to me that you can balance safety in the 399 00:22:48,640 --> 00:22:52,439 Speaker 1: workplace and the ability of somebody to have a different 400 00:22:52,440 --> 00:22:55,040 Speaker 1: point of view on this. And this is what Joe 401 00:22:55,040 --> 00:22:58,159 Speaker 1: even mentioned in is vaccine mandate speech that companies with 402 00:22:58,200 --> 00:23:01,119 Speaker 1: a hundred or more people that people would have to 403 00:23:01,119 --> 00:23:04,000 Speaker 1: show that there's what their status is, or they would 404 00:23:04,000 --> 00:23:06,040 Speaker 1: have to agree to be tested. Now, the good part 405 00:23:06,080 --> 00:23:09,560 Speaker 1: about the testing is intrusive, as that is, at least 406 00:23:09,600 --> 00:23:12,200 Speaker 1: the only thing they're putting in your body is a 407 00:23:12,200 --> 00:23:15,080 Speaker 1: is a Q tip in your nose and circling it 408 00:23:15,200 --> 00:23:19,040 Speaker 1: three or four times, right, Um, for those people, what's 409 00:23:19,119 --> 00:23:22,080 Speaker 1: up there? There's chemicals on the end of that que tip, 410 00:23:22,760 --> 00:23:25,800 Speaker 1: ethylene oxide on the end of that que tip that 411 00:23:26,000 --> 00:23:29,080 Speaker 1: go in there, that mix. I'm not saying this is 412 00:23:29,119 --> 00:23:32,719 Speaker 1: the ideal thing. Here's my fear. I don't want. I 413 00:23:32,800 --> 00:23:37,399 Speaker 1: don't want nurses and teachers and cops and firemen and 414 00:23:37,640 --> 00:23:42,959 Speaker 1: are military people to lose their salary, their pensions, their benefits. 415 00:23:43,320 --> 00:23:46,680 Speaker 1: So I'm trying, I'm trying to thread a needle to 416 00:23:46,760 --> 00:23:50,240 Speaker 1: satisfy both sides here. It's not the ideal answer. I 417 00:23:50,280 --> 00:23:53,000 Speaker 1: would agree with you it's not, but I don't. I 418 00:23:53,040 --> 00:23:58,320 Speaker 1: want at least give people an option rather than you're fired. Exactly. Well, 419 00:23:58,359 --> 00:24:01,879 Speaker 1: there's now over seventeen study that a seventeen or eighteen 420 00:24:01,880 --> 00:24:05,440 Speaker 1: studies now that, and I'm following it closely because I'm 421 00:24:05,440 --> 00:24:07,520 Speaker 1: one of those people that will not get a vaccine. 422 00:24:08,000 --> 00:24:10,240 Speaker 1: I still have ten and a half times the amount 423 00:24:10,480 --> 00:24:14,480 Speaker 1: of antibodies in my system eighteen and greater than eighteen 424 00:24:14,520 --> 00:24:17,040 Speaker 1: months out. There's no need in my medical mind in 425 00:24:17,119 --> 00:24:19,719 Speaker 1: thirty five years in nursing that I need to get that. 426 00:24:20,160 --> 00:24:24,800 Speaker 1: Until somebody proved me wrong or can tell me the 427 00:24:24,960 --> 00:24:28,760 Speaker 1: rationale behind it, I just won't do it. I'm actually 428 00:24:28,880 --> 00:24:32,119 Speaker 1: very sure. You're eighteen months out of having COVID and 429 00:24:32,160 --> 00:24:34,879 Speaker 1: you still have a high level of antibodies, and that 430 00:24:35,119 --> 00:24:38,080 Speaker 1: is separate and apart from T cell untibodies. Correct, Yes, 431 00:24:38,240 --> 00:24:41,080 Speaker 1: you don't measure your T cells, but you also have 432 00:24:41,160 --> 00:24:44,760 Speaker 1: B cells which live in your bones. So T cells 433 00:24:44,760 --> 00:24:46,960 Speaker 1: are your fighter cells that come out like if you 434 00:24:47,040 --> 00:24:50,800 Speaker 1: get I get exposed. I'm currently working in a COVID 435 00:24:50,920 --> 00:24:55,240 Speaker 1: infusion center, so monoclonal antibody center, so that, thank goodness, 436 00:24:55,280 --> 00:24:59,439 Speaker 1: they're finally allowing that to happen. But anybody that I 437 00:24:59,520 --> 00:25:01,600 Speaker 1: know that as positive and a lot. But you'd be 438 00:25:01,640 --> 00:25:03,600 Speaker 1: shocked how many people call me because they know I'm 439 00:25:03,680 --> 00:25:06,800 Speaker 1: dealing with this every day. I don't play doctor on radio, 440 00:25:06,880 --> 00:25:09,720 Speaker 1: I don't play it on TV. I immediately tell them 441 00:25:10,040 --> 00:25:12,080 Speaker 1: to talk to the doctor. And the first thing that 442 00:25:12,119 --> 00:25:15,840 Speaker 1: I'm saying is call your doctor immediately and ask your 443 00:25:15,880 --> 00:25:19,520 Speaker 1: doctor about monoclonal antibodies. And most people will say this 444 00:25:19,560 --> 00:25:21,520 Speaker 1: to me, what do you call that again? And then 445 00:25:21,560 --> 00:25:25,199 Speaker 1: I'll say, well, one brand is regeneron Mono, and I 446 00:25:25,240 --> 00:25:29,119 Speaker 1: spell it out, clonal antibodies, and I will spell it 447 00:25:29,160 --> 00:25:31,880 Speaker 1: out for them because they might have heard me say it, 448 00:25:32,040 --> 00:25:36,720 Speaker 1: but it's not It's hardly ever talked about on television 449 00:25:36,880 --> 00:25:40,359 Speaker 1: or radio, and it has shown amazing success. Now. I 450 00:25:40,440 --> 00:25:46,800 Speaker 1: have friends that were unvaccinated older comorbidities, tested positive. One 451 00:25:47,000 --> 00:25:51,400 Speaker 1: seventy six, one is sixty eight, and they did fine. 452 00:25:51,520 --> 00:25:54,280 Speaker 1: Bothin twenty four hours they got the infusion. I have 453 00:25:54,480 --> 00:25:56,439 Speaker 1: a friend that lives near and by me and he 454 00:25:56,520 --> 00:26:00,119 Speaker 1: had a breakthrough case. He was fully vaccinated and he 455 00:26:00,160 --> 00:26:02,200 Speaker 1: got it within twenty four hours and he had the 456 00:26:02,240 --> 00:26:04,199 Speaker 1: best week of his life fishing. As he sent his 457 00:26:04,280 --> 00:26:06,719 Speaker 1: family down to Florida. Well, he got the delta variant. 458 00:26:06,880 --> 00:26:09,199 Speaker 1: So I just I'm not telling people what to do. 459 00:26:09,280 --> 00:26:11,919 Speaker 1: I'm saying, ask your doctor about it and see what 460 00:26:11,960 --> 00:26:14,240 Speaker 1: your doctor says about it. Because I'm just, to be 461 00:26:14,400 --> 00:26:17,800 Speaker 1: very honest, I'm not qualified to give medical advice. I 462 00:26:17,840 --> 00:26:20,440 Speaker 1: didn't go to medical school. You know more about medicine 463 00:26:20,440 --> 00:26:23,560 Speaker 1: than I do as a nurse. Well, I hope, though, 464 00:26:23,600 --> 00:26:26,680 Speaker 1: But do you think if it is as say, there 465 00:26:26,680 --> 00:26:29,840 Speaker 1: are therapeutics out there and I don't know from from 466 00:26:30,000 --> 00:26:32,360 Speaker 1: the time I got it in May of twenty there 467 00:26:32,359 --> 00:26:36,600 Speaker 1: were therapeutics. And when I called my provider saying, hey, 468 00:26:36,880 --> 00:26:39,000 Speaker 1: I have one hundred and two on day eight, I 469 00:26:39,040 --> 00:26:41,640 Speaker 1: had one hundred and two and I said I need help, 470 00:26:42,080 --> 00:26:44,920 Speaker 1: and I said, give me some hydroxic worklin I gave 471 00:26:44,960 --> 00:26:48,280 Speaker 1: it in the eighties. I'm not afraid to take old medication. 472 00:26:48,400 --> 00:26:54,120 Speaker 1: We use medications that aren't for the intended youth all 473 00:26:54,680 --> 00:26:59,800 Speaker 1: the time. Listen that are there are Harvard Medical School 474 00:26:59,800 --> 00:27:04,160 Speaker 1: trained doctors, There are Yale Medical School trained doctors that 475 00:27:04,600 --> 00:27:07,959 Speaker 1: believe in that protocol. Almost all of them, though agree 476 00:27:08,040 --> 00:27:14,080 Speaker 1: first monoclonal antibodies, then HCQ, and there is a human 477 00:27:14,359 --> 00:27:19,040 Speaker 1: version to the quote Horse d Warmer, although Mark the producer, 478 00:27:19,560 --> 00:27:24,280 Speaker 1: the manufacturer, does not think it is an appropriate crossover use. 479 00:27:24,480 --> 00:27:26,879 Speaker 1: That's what they've said. People have got to talk to 480 00:27:26,920 --> 00:27:31,439 Speaker 1: their own doctors. I'm not qualified to tell them. Some providers, 481 00:27:31,480 --> 00:27:34,480 Speaker 1: but you have to go to a compounding pharmacy to 482 00:27:34,520 --> 00:27:36,520 Speaker 1: get it, and only a few doctors will give it. 483 00:27:37,800 --> 00:27:40,280 Speaker 1: But more and more hospitals are doing the infusion, like 484 00:27:40,880 --> 00:27:43,120 Speaker 1: at the place that you're working. But there's so many 485 00:27:43,160 --> 00:27:46,200 Speaker 1: people that don't know it. I mean when they come 486 00:27:46,240 --> 00:27:48,200 Speaker 1: in my chair and I'm treating them and I'm starting 487 00:27:48,240 --> 00:27:50,639 Speaker 1: their idea and I'm talking to them and I'm saying, 488 00:27:50,680 --> 00:27:52,560 Speaker 1: how do you find out about We didn't know anything 489 00:27:52,600 --> 00:27:56,360 Speaker 1: about this. I put it on social media the other day. Well, 490 00:27:56,400 --> 00:27:59,040 Speaker 1: a few weeks back, I said, if you have COVID, 491 00:27:59,400 --> 00:28:01,840 Speaker 1: call me. There's therapies that I can help you with. 492 00:28:03,200 --> 00:28:06,000 Speaker 1: Because I despite donating my own plasma back in the 493 00:28:06,080 --> 00:28:09,280 Speaker 1: day at a combolescent plasma, which now I can still 494 00:28:09,320 --> 00:28:12,400 Speaker 1: give because I haven't had the vaccine. If you get 495 00:28:12,440 --> 00:28:16,160 Speaker 1: the vaccine, you cannot give it. It's by that's according 496 00:28:16,160 --> 00:28:18,239 Speaker 1: to the American Red Cross. Is it. I'm just going 497 00:28:18,320 --> 00:28:21,680 Speaker 1: to emphasize what I've been telling people. Take it seriously. 498 00:28:21,760 --> 00:28:24,240 Speaker 1: I have seen the worst of this. Do your research, 499 00:28:24,280 --> 00:28:26,120 Speaker 1: and I'm not talking about putting on a lab coat 500 00:28:26,240 --> 00:28:28,680 Speaker 1: and opening up your own virology lab. I'm talking about 501 00:28:28,680 --> 00:28:32,280 Speaker 1: read the research, learn the difference between what an mRNA 502 00:28:32,560 --> 00:28:37,119 Speaker 1: vaccine is versus the Johnson and Johnson vaccine. Then, of 503 00:28:37,160 --> 00:28:40,120 Speaker 1: course you need to look at your unique medical history, 504 00:28:40,160 --> 00:28:43,040 Speaker 1: your current medical condition, and the most important part of 505 00:28:43,080 --> 00:28:45,800 Speaker 1: the equation is you need to talk to your doctor. 506 00:28:45,960 --> 00:28:49,720 Speaker 1: Doctors and medical professionals you trust. Don't listen to people 507 00:28:49,720 --> 00:28:52,800 Speaker 1: on the radio or TV. They're not doctors, they didn't 508 00:28:52,840 --> 00:28:56,080 Speaker 1: go to medical school, and then make the right decision 509 00:28:56,120 --> 00:28:59,160 Speaker 1: for you and your family. That is I've seen the 510 00:28:59,200 --> 00:29:02,240 Speaker 1: worst of this, Gail. I know people that have died, 511 00:29:02,640 --> 00:29:05,920 Speaker 1: and I'm trying to be as responsible as i can 512 00:29:05,960 --> 00:29:10,080 Speaker 1: be because I care about my audience. And it is 513 00:29:10,160 --> 00:29:13,640 Speaker 1: amazing the lack of information that has been out there 514 00:29:13,680 --> 00:29:16,680 Speaker 1: that I think is important to know as part of 515 00:29:16,680 --> 00:29:19,240 Speaker 1: an education. Whether you hear people you agree with or 516 00:29:19,280 --> 00:29:23,400 Speaker 1: disagree with, have this ongoing conversation with your medical professionals. 517 00:29:24,000 --> 00:29:26,400 Speaker 1: Hannity Tonight, ninety Eastern, Please set you DVR You're not 518 00:29:26,400 --> 00:29:30,200 Speaker 1: gonna want to miss Tonight Show. James O'Keefe Project Veritas, 519 00:29:30,560 --> 00:29:34,040 Speaker 1: his offices and home rated by the FBI in relation 520 00:29:34,160 --> 00:29:40,440 Speaker 1: to Joe Biden's daughter's diary. Kaylee Mcininny, Mike Huckabee Tonight, 521 00:29:40,480 --> 00:29:44,200 Speaker 1: Clay Travis, Kelly, An Conway, Rick Perry, and Leo two 522 00:29:44,240 --> 00:29:48,320 Speaker 1: point o Terrell say you, DBR nineties, Hannity Fox. Thanks 523 00:29:48,320 --> 00:29:50,480 Speaker 1: for being with us. You make this show possible. We 524 00:29:51,000 --> 00:29:53,680 Speaker 1: never forget it. We can't thank you enough. See you tonight,