1 00:00:00,040 --> 00:00:08,200 Speaker 1: Oh, We're coming to your city, saying you a consciens. 2 00:00:09,720 --> 00:00:15,440 Speaker 1: We'll all be desire hi than a jail. And if 3 00:00:15,440 --> 00:00:18,800 Speaker 1: you want a little banging again, ain't come along. We 4 00:00:18,840 --> 00:00:23,599 Speaker 1: are rebuilding a system that was entirely dismantled. But do 5 00:00:23,640 --> 00:00:25,639 Speaker 1: you acknowledge you're likely going to see a search We 6 00:00:25,840 --> 00:00:29,120 Speaker 1: very well could any concerned by vols round here that 7 00:00:29,200 --> 00:00:32,479 Speaker 1: these migrants will take the phones and just toss them. 8 00:00:32,840 --> 00:00:35,160 Speaker 1: Do you have a record of people throwing phones away? 9 00:00:35,240 --> 00:00:40,559 Speaker 1: The hunter Biden's business relationships have anything to do with 10 00:00:40,560 --> 00:00:43,199 Speaker 1: who should be president of the United States. So I 11 00:00:43,280 --> 00:00:45,640 Speaker 1: didn't find I don't find it to be interesting. Freedom 12 00:00:46,159 --> 00:00:53,360 Speaker 1: is back in style. Welcome to the Revolution, coming to 13 00:00:53,520 --> 00:00:58,960 Speaker 1: your city. You want to play, saying you a conciouself? 14 00:01:01,200 --> 00:01:07,039 Speaker 1: New show, I'm the scenes, information on freaking news and 15 00:01:07,280 --> 00:01:14,200 Speaker 1: more bold inspired solutions for America. This is a special 16 00:01:14,400 --> 00:01:21,840 Speaker 1: edition of the Sean Hannity Show America Trapped Behind Enemy 17 00:01:21,959 --> 00:01:27,480 Speaker 1: Lines Day number two thirty seven. All Right, Day two 18 00:01:27,680 --> 00:01:32,400 Speaker 1: thirty seven, Joey Yes, abandons Americans, even military family members 19 00:01:32,440 --> 00:01:36,480 Speaker 1: and thousands of Green card holders and billions of equipment 20 00:01:36,520 --> 00:01:39,840 Speaker 1: and nur Afghan allies. Day two fifty when he promised 21 00:01:39,840 --> 00:01:43,560 Speaker 1: he would never do it. He did it anyway. Um. Anyway, 22 00:01:43,600 --> 00:01:48,000 Speaker 1: So we got this issue emerging here. Um, and you know, 23 00:01:48,160 --> 00:01:51,400 Speaker 1: Jen Psaki apparently is going to go work at what MSDNC, 24 00:01:52,200 --> 00:01:53,760 Speaker 1: I don't know what a role. Maybe she's going to 25 00:01:53,840 --> 00:01:56,640 Speaker 1: be the filling for Rachel Maddow who's constantly I guess 26 00:01:56,680 --> 00:02:00,920 Speaker 1: on hiatus in perpetuity doing other projects or NBC whatever 27 00:02:00,960 --> 00:02:04,200 Speaker 1: that means. It doesn't matter because if you work at MSDNC, 28 00:02:04,600 --> 00:02:07,680 Speaker 1: probably the one of the one of the main criteria 29 00:02:07,840 --> 00:02:10,760 Speaker 1: is that you're just willing to lie and spew, you know, 30 00:02:11,240 --> 00:02:15,200 Speaker 1: conspiracy theories that Donald Trump and Russia colluded no matter 31 00:02:15,240 --> 00:02:18,040 Speaker 1: what the evidence says, or just no, no, no, The 32 00:02:18,080 --> 00:02:22,280 Speaker 1: Hunter Biden laptop story is false. It's Russian disinformation. You know, 33 00:02:22,400 --> 00:02:26,600 Speaker 1: we have a whole series of lies of Jen Saki. 34 00:02:27,200 --> 00:02:29,040 Speaker 1: You know she's out there. As a matter of fact, 35 00:02:29,080 --> 00:02:31,000 Speaker 1: I got a montage of it. She's going to fit 36 00:02:31,080 --> 00:02:33,360 Speaker 1: in perfectly. Let me play and playing it on TV 37 00:02:33,520 --> 00:02:36,639 Speaker 1: last night, this montage of Jen Saki, And then I'll 38 00:02:36,639 --> 00:02:40,040 Speaker 1: get back to this in a second. Why should somebody 39 00:02:40,320 --> 00:02:44,880 Speaker 1: say in Laredo, Texas, or hats or Tucson, Arizona have 40 00:02:45,000 --> 00:02:48,400 Speaker 1: to have their chance of catching COVID go up because 41 00:02:48,600 --> 00:02:52,320 Speaker 1: hundreds of miles away there's an open border. Well, there 42 00:02:52,400 --> 00:02:55,799 Speaker 1: certainly is not an open border as individuals. As individuals 43 00:02:55,840 --> 00:03:00,160 Speaker 1: come across the border and they are both assessed for 44 00:03:00,240 --> 00:03:03,960 Speaker 1: whether they have any symptoms. If they have symptoms, they 45 00:03:03,960 --> 00:03:06,680 Speaker 1: are the intention is for them to be quarantined. That 46 00:03:06,840 --> 00:03:09,160 Speaker 1: is our process. They're not intending to stay here for 47 00:03:09,200 --> 00:03:11,240 Speaker 1: a lengthy period of time. I don't think it's the 48 00:03:11,320 --> 00:03:15,480 Speaker 1: same thing. Better will not add a gime to the 49 00:03:15,560 --> 00:03:19,760 Speaker 1: national days. Correct, it won't. Why why should Americans believe that? 50 00:03:20,240 --> 00:03:22,680 Speaker 1: Because it won't. It was crystal clear that things were 51 00:03:22,680 --> 00:03:26,040 Speaker 1: not improving on the Platain. People couldn't get ditchwatchers and 52 00:03:26,960 --> 00:03:30,560 Speaker 1: furniture and treadmills delivered on time, not to mention all 53 00:03:30,560 --> 00:03:33,440 Speaker 1: sorts of other things. So why is your tragedy of 54 00:03:33,440 --> 00:03:36,160 Speaker 1: the short the treadmill that's delayed. You may have noticed 55 00:03:36,200 --> 00:03:38,520 Speaker 1: this week that your gas prices have gone up. I 56 00:03:38,560 --> 00:03:40,400 Speaker 1: want to talk to you a little bit about why. 57 00:03:40,600 --> 00:03:42,680 Speaker 1: A lot of it has to do with Vladimir Putin's 58 00:03:42,800 --> 00:03:45,320 Speaker 1: broadly known and widely known peter that there was a 59 00:03:45,360 --> 00:03:49,320 Speaker 1: broad range of Russian disinformation back in twenty twenty, President 60 00:03:49,360 --> 00:03:52,280 Speaker 1: has made a decision on keeping or keeping the scope 61 00:03:52,280 --> 00:03:57,160 Speaker 1: of the Space Force. Wow, space force, it's the plane 62 00:03:57,160 --> 00:04:01,240 Speaker 1: of today. Why is the administration's lying and migrants from 63 00:04:01,280 --> 00:04:04,400 Speaker 1: the border or to Florida any your in the middle 64 00:04:04,440 --> 00:04:07,280 Speaker 1: of the night. Well, I'm not sure that it's in 65 00:04:07,320 --> 00:04:09,880 Speaker 1: the middle of the night. Oh, the middle of the 66 00:04:10,000 --> 00:04:13,320 Speaker 1: night two am, four am. No, that's an early morning flight. 67 00:04:13,440 --> 00:04:16,760 Speaker 1: She said. Oh, these guys, there's the illegal immigrants. They 68 00:04:16,760 --> 00:04:18,479 Speaker 1: don't need to be tested for COVID. They're not going 69 00:04:18,560 --> 00:04:21,280 Speaker 1: to be here very long here being defined as at 70 00:04:21,279 --> 00:04:23,240 Speaker 1: the border because they're going to transport it into one 71 00:04:23,279 --> 00:04:26,120 Speaker 1: of the fifty states. Well, if they're in Texas, they're 72 00:04:26,160 --> 00:04:28,880 Speaker 1: going to be sent to DC thanks to Governor Rabbit. 73 00:04:29,000 --> 00:04:30,840 Speaker 1: If they make it to Florida, they're going to be 74 00:04:30,920 --> 00:04:34,000 Speaker 1: sent to Delaware, just by the way. Pretty good idea. 75 00:04:34,080 --> 00:04:38,440 Speaker 1: That's just a political gimmick. No, it's actually if Joe 76 00:04:38,560 --> 00:04:41,000 Speaker 1: is going to aiden to bet the law breaking and 77 00:04:41,120 --> 00:04:43,000 Speaker 1: he's not going to force the laws of the land, 78 00:04:43,520 --> 00:04:48,200 Speaker 1: and he's gonna transport people all over the country and 79 00:04:48,640 --> 00:04:51,520 Speaker 1: force states to take care of people that he's allowing 80 00:04:51,560 --> 00:04:54,680 Speaker 1: into this country illegally. By the way, with they get 81 00:04:54,680 --> 00:04:57,040 Speaker 1: preferential treatment because they don't get a COVID test, they 82 00:04:57,080 --> 00:04:59,840 Speaker 1: have no vaccine mandate, no problem sticking them on a 83 00:05:00,040 --> 00:05:02,960 Speaker 1: plane and having one of her early morning two am 84 00:05:03,080 --> 00:05:06,279 Speaker 1: flights that obscure airports. They don't tend to land like 85 00:05:06,320 --> 00:05:09,479 Speaker 1: if you're in New York. They're not landing at LaGuardia. 86 00:05:09,560 --> 00:05:12,960 Speaker 1: They're not landing at Kennedy Airport, New York, the two 87 00:05:12,960 --> 00:05:15,560 Speaker 1: biggest airports in New York City. Now they're landing in 88 00:05:15,680 --> 00:05:21,200 Speaker 1: Westchester Airport. Westchester Airport is like a private airport. They 89 00:05:21,200 --> 00:05:23,880 Speaker 1: have a pretty long runway, I guess. But so they're 90 00:05:23,920 --> 00:05:25,719 Speaker 1: doing that at two, three, four am in the morning, 91 00:05:25,760 --> 00:05:29,119 Speaker 1: so nobody sees. It was rob Astino that first tipped 92 00:05:29,120 --> 00:05:31,000 Speaker 1: me off that all of that was was going on. 93 00:05:31,640 --> 00:05:33,840 Speaker 1: Now the latest lie has to do with COVID. Now 94 00:05:34,040 --> 00:05:37,680 Speaker 1: not mean this, sincerely. You gotta put aside political differences 95 00:05:37,680 --> 00:05:41,040 Speaker 1: when it comes to a health issue. Nancy Pelosi tested 96 00:05:41,080 --> 00:05:45,120 Speaker 1: positive for COVID. We wish her well, we wish her 97 00:05:45,120 --> 00:05:52,040 Speaker 1: the best. I'm a little angry that while while the 98 00:05:52,080 --> 00:05:55,080 Speaker 1: rest of us are being told that they've stopped shipments 99 00:05:55,120 --> 00:05:59,360 Speaker 1: of Setrova MAB, which was very successful against amarchrom ie. 100 00:06:00,120 --> 00:06:03,200 Speaker 1: That we have amicron ba to the sub variant there 101 00:06:03,279 --> 00:06:07,440 Speaker 1: there is, by the way, an Eli Lilly monoclonal and 102 00:06:07,600 --> 00:06:10,480 Speaker 1: a body. They just don't have enough of it. And 103 00:06:10,520 --> 00:06:13,640 Speaker 1: it's it's beyond frustrating to me because they know that 104 00:06:13,720 --> 00:06:19,240 Speaker 1: it works, and all they're saying is that that that's 105 00:06:19,320 --> 00:06:22,600 Speaker 1: atrova mab, which worked for amocron one point or b 106 00:06:22,760 --> 00:06:26,760 Speaker 1: A one is no longer available because it's quote they say, 107 00:06:26,839 --> 00:06:31,960 Speaker 1: sixteen times less effective against b A two omicron two. 108 00:06:32,360 --> 00:06:34,800 Speaker 1: But why not give people the choices considering they have 109 00:06:34,880 --> 00:06:39,279 Speaker 1: all these doses that have been produced. It makes absolutely 110 00:06:39,720 --> 00:06:43,400 Speaker 1: zero sense to anybody, especially if you believe in following 111 00:06:43,400 --> 00:06:46,480 Speaker 1: the science. And now the science tells us whether or 112 00:06:46,520 --> 00:06:48,880 Speaker 1: not if you're fully vaccinated with a booster and had 113 00:06:48,880 --> 00:06:52,120 Speaker 1: a previous infection, you can still get COVID. You know, 114 00:06:52,200 --> 00:06:55,359 Speaker 1: Exhibit A would be Jensaki herself, who got it not once, 115 00:06:55,400 --> 00:06:58,200 Speaker 1: but got it twice. You know, first they said, if 116 00:06:58,200 --> 00:07:00,640 Speaker 1: you get the vaccine, you're not going to get COVID. 117 00:07:00,760 --> 00:07:04,040 Speaker 1: That's what they said. All the science has changed and 118 00:07:04,440 --> 00:07:08,920 Speaker 1: vaccinated booster previous infections, you're still getting COVID anyway, so 119 00:07:09,120 --> 00:07:14,360 Speaker 1: they have the Eli Lily version of that is available. 120 00:07:14,760 --> 00:07:17,800 Speaker 1: I'm not gonna say it, right, bebtel of a mab 121 00:07:18,120 --> 00:07:20,960 Speaker 1: is one of them. And Murk has one out that's 122 00:07:20,960 --> 00:07:25,520 Speaker 1: called Malnula purveyor. I can't pronounce that one either, But 123 00:07:25,600 --> 00:07:28,960 Speaker 1: those are two monoclonal antibodies specific to be A two 124 00:07:29,160 --> 00:07:32,760 Speaker 1: or omicron two point zero. And so you know, why 125 00:07:32,800 --> 00:07:34,480 Speaker 1: don't we, Lenda put it up on the website so 126 00:07:34,560 --> 00:07:38,760 Speaker 1: people can read that and understand it. And at least 127 00:07:38,760 --> 00:07:41,600 Speaker 1: those are being made available. But here's the problem, they're 128 00:07:41,640 --> 00:07:45,680 Speaker 1: not mass producing it. Now. The big lie with Jensaki 129 00:07:45,960 --> 00:07:51,880 Speaker 1: is this the day before Nancy Pelosi tested positive and 130 00:07:51,920 --> 00:07:56,120 Speaker 1: we wish her well for COVID the day before she's right, 131 00:07:56,520 --> 00:08:02,000 Speaker 1: she's leaning right over Joe's shoulder and gives Joe a kiss. Now, 132 00:08:02,040 --> 00:08:04,760 Speaker 1: this is one of the most contagious variants. She didn't 133 00:08:04,760 --> 00:08:07,720 Speaker 1: have her precious mask on. I think, don't those mask 134 00:08:07,840 --> 00:08:10,160 Speaker 1: rules still Aren't they still in effect? Aren't they still 135 00:08:10,200 --> 00:08:12,960 Speaker 1: finding congress people that walk on the floor of the 136 00:08:13,000 --> 00:08:16,280 Speaker 1: House without a mask. Anyway, So she's around the president 137 00:08:16,720 --> 00:08:20,400 Speaker 1: and so jen Psaki is asked about the close contact 138 00:08:20,440 --> 00:08:24,760 Speaker 1: with Nancy Pelosi by that time, she had to be contagious. 139 00:08:25,240 --> 00:08:28,080 Speaker 1: She had to have already been exposed to COVID, which 140 00:08:28,080 --> 00:08:30,520 Speaker 1: means the president now is exposed to COVID. Now. They 141 00:08:30,560 --> 00:08:32,840 Speaker 1: did put out a statement that he tested negative today, 142 00:08:32,880 --> 00:08:35,360 Speaker 1: and I hope he stays negative. I don't wish ill 143 00:08:35,400 --> 00:08:40,120 Speaker 1: on anybody. I know liberals, it's a conservative. Oh yeah, 144 00:08:40,160 --> 00:08:43,040 Speaker 1: Hannity got it. Let's hope he dies. Yeah, you know, 145 00:08:43,200 --> 00:08:45,800 Speaker 1: I just don't play that game. I believe in human life. 146 00:08:46,800 --> 00:08:50,000 Speaker 1: But Jen Psaki's claiming that Biden was not in close 147 00:08:50,120 --> 00:08:54,920 Speaker 1: enough contact, it doesn't meet the CDC guidelines. And none 148 00:08:54,960 --> 00:08:58,400 Speaker 1: of her even kissing and the interaction with the speaker 149 00:08:59,000 --> 00:09:02,040 Speaker 1: is considered by definition close contact by the Centers for 150 00:09:02,120 --> 00:09:05,640 Speaker 1: Disease Control. All right, that is just a crock of 151 00:09:05,760 --> 00:09:11,680 Speaker 1: Adam Schiff. It's just bull and anybody it's it's ridiculous. 152 00:09:11,679 --> 00:09:14,360 Speaker 1: It's so ridiculous that you can't even you can't even 153 00:09:14,400 --> 00:09:17,040 Speaker 1: explain it away. But this is why she'd be a 154 00:09:17,080 --> 00:09:20,040 Speaker 1: perfect fit at MSDNC. Listen to this, How many guys 155 00:09:20,040 --> 00:09:22,839 Speaker 1: say that President Biden was not a closed contact with 156 00:09:23,000 --> 00:09:26,840 Speaker 1: Peter Blows when there is video of the speaker kissing him. Well, 157 00:09:26,880 --> 00:09:29,440 Speaker 1: Peter The way that it is defined is by the 158 00:09:29,520 --> 00:09:33,280 Speaker 1: Center for Disease Control the CDC, and their definition of 159 00:09:33,280 --> 00:09:37,320 Speaker 1: it is fifteen minutes of contact within a set period 160 00:09:37,360 --> 00:09:41,560 Speaker 1: of time and within six feet. It did not meet 161 00:09:41,679 --> 00:09:47,600 Speaker 1: that bar. It did not meet that bar. Okay, well, listen, 162 00:09:47,679 --> 00:09:49,400 Speaker 1: I hope Joe doesn't get it. And now he had 163 00:09:49,440 --> 00:09:51,800 Speaker 1: recently had his boosters, so maybe that'll give him a 164 00:09:51,840 --> 00:09:56,040 Speaker 1: little bit of protection. I don't know. Um, you know 165 00:09:56,320 --> 00:09:58,760 Speaker 1: they're even telling you like the booster gives you like 166 00:09:58,800 --> 00:10:02,440 Speaker 1: three months now. I mean, it just ever changing guidelines. 167 00:10:02,559 --> 00:10:06,480 Speaker 1: I don't trust any of these people anymore. Fauci has 168 00:10:06,679 --> 00:10:11,040 Speaker 1: zero credibility to me. The NIH lied to us. We 169 00:10:11,120 --> 00:10:14,040 Speaker 1: know in emails that they even released. They knew that 170 00:10:14,240 --> 00:10:19,200 Speaker 1: coronavirus research and gain A function research was being done 171 00:10:19,200 --> 00:10:22,520 Speaker 1: in the Wuhan Virology Lab. They knew that they had 172 00:10:22,559 --> 00:10:26,720 Speaker 1: funded Eco Alliance, which was funding the Wuhan Virology Lab 173 00:10:26,720 --> 00:10:29,760 Speaker 1: with taxpayer dollars, and they tried to hide it. And 174 00:10:29,840 --> 00:10:32,560 Speaker 1: you could see it in emails in early January of 175 00:10:32,640 --> 00:10:35,959 Speaker 1: twenty twenty with Fauci when when it first broke onto 176 00:10:35,960 --> 00:10:39,120 Speaker 1: the scene, he's frantically trying to find out how much 177 00:10:39,600 --> 00:10:43,320 Speaker 1: NIH money was spent on the Wuhan virology lab, and 178 00:10:43,360 --> 00:10:45,719 Speaker 1: they just openly led about it. Because you know, when 179 00:10:45,720 --> 00:10:52,319 Speaker 1: you combine the NIH's own information, Fauci's emails, the Intercept Project, 180 00:10:52,480 --> 00:10:56,320 Speaker 1: Veritas's information, and put it all together, it looks fairly 181 00:10:56,360 --> 00:10:59,319 Speaker 1: transparent to me that they knew damn well that that 182 00:10:59,720 --> 00:11:02,480 Speaker 1: American taxpayer dollars was going to this lab, and they 183 00:11:02,559 --> 00:11:06,240 Speaker 1: knew what was going on in that labs. It's unbelievable. 184 00:11:07,600 --> 00:11:10,640 Speaker 1: I think my favorite moment of the day, though, was 185 00:11:10,840 --> 00:11:14,559 Speaker 1: a tape we played last night on Hannity of Humpty Dumpty. 186 00:11:15,960 --> 00:11:17,600 Speaker 1: I don't know what Humpty's role is going to be. 187 00:11:17,800 --> 00:11:21,360 Speaker 1: Was the stenographer for Jeff Zucker over at Fake News CNN, 188 00:11:21,559 --> 00:11:24,240 Speaker 1: and with zucker out now, I don't know what role 189 00:11:24,320 --> 00:11:26,600 Speaker 1: he'll play in the future. Maybe it'll still be the 190 00:11:26,679 --> 00:11:30,560 Speaker 1: stenographer of this new guy who used to produce Colbert 191 00:11:30,640 --> 00:11:35,080 Speaker 1: what's his name, Licked, who's gonna take over anyway. So 192 00:11:36,120 --> 00:11:40,240 Speaker 1: a kid at a forum that is supposedly to talk 193 00:11:40,320 --> 00:11:44,760 Speaker 1: about a disinformation it's called a disinformation conference. This kid 194 00:11:44,840 --> 00:11:49,040 Speaker 1: just crushes Humpty. Listen. They pushed the russianclusion hoax, they 195 00:11:49,040 --> 00:11:52,920 Speaker 1: pushed the Jesse Smillett hoax. They smeared Justice Kavanaugh as 196 00:11:52,920 --> 00:11:56,160 Speaker 1: a rapist, and they also smeared Nick Salmon as a 197 00:11:56,160 --> 00:11:59,640 Speaker 1: white supremacist. And yes, they dismissed the Hunter Biden laptop 198 00:11:59,679 --> 00:12:04,880 Speaker 1: affair as pure Russian disinformation. With mainstream corporate journalists becoming 199 00:12:05,080 --> 00:12:09,240 Speaker 1: little more than apologists and cheerleaders for the regime, is 200 00:12:09,280 --> 00:12:13,640 Speaker 1: a time to finally declare that the canon of journalistic 201 00:12:13,679 --> 00:12:17,800 Speaker 1: ethics is dead or no longer operative. All the mistakes 202 00:12:17,840 --> 00:12:21,240 Speaker 1: of the mainstream media and CNN in particular seem to 203 00:12:21,320 --> 00:12:25,000 Speaker 1: magically all go in one direction. Are we expected to 204 00:12:25,000 --> 00:12:28,080 Speaker 1: believe that this is all just some sort of random 205 00:12:28,160 --> 00:12:31,120 Speaker 1: coincidence or is there something else behind it? It's too 206 00:12:31,160 --> 00:12:35,040 Speaker 1: bad time for lunch? Thirty seconds No, I mean there's 207 00:12:35,080 --> 00:12:36,760 Speaker 1: a there's a cloth that says thirty seconds. But but 208 00:12:36,880 --> 00:12:39,000 Speaker 1: I think my honest answer to you and I will 209 00:12:39,000 --> 00:12:41,440 Speaker 1: all come over and talking more detail after this is 210 00:12:41,480 --> 00:12:43,960 Speaker 1: that I think you're describing a different channel than the 211 00:12:43,960 --> 00:12:46,439 Speaker 1: one that I watch. But I understand that that is 212 00:12:46,480 --> 00:12:51,079 Speaker 1: a popular right wing narrative about CNN. That's all he said. 213 00:12:51,920 --> 00:12:56,080 Speaker 1: Everything that kid said about fake New CNN was a 214 00:12:56,240 --> 00:13:02,960 Speaker 1: thousand percent true. Every single thing that kid said, how ironic, Linda, 215 00:13:03,040 --> 00:13:04,920 Speaker 1: how great is this? You can't even make this up 216 00:13:04,960 --> 00:13:08,240 Speaker 1: a college kid. It was a brutal takedown, you know, 217 00:13:08,360 --> 00:13:12,040 Speaker 1: humpty and the other one big fall. Wasn't that a 218 00:13:12,080 --> 00:13:15,959 Speaker 1: great I mean anytime anytime he gets bashed, I'm all in. 219 00:13:16,200 --> 00:13:19,120 Speaker 1: I love it. He deserves it because he's got this 220 00:13:19,280 --> 00:13:23,360 Speaker 1: sanctimony about him a holier than now this. This idiot 221 00:13:23,400 --> 00:13:27,200 Speaker 1: really thinks he's an objective journalist or something. But look 222 00:13:27,240 --> 00:13:30,440 Speaker 1: at applebaumb yesterday we talked about saying that she didn't 223 00:13:30,480 --> 00:13:33,079 Speaker 1: think that the Hunter Biden topic was all that interesting. 224 00:13:33,120 --> 00:13:35,000 Speaker 1: I'm like, well, why don't you answered honestly and say 225 00:13:35,000 --> 00:13:37,680 Speaker 1: that The Atlantic has a lot of donations in funding 226 00:13:37,679 --> 00:13:39,839 Speaker 1: and a partial or from the Biden family would be 227 00:13:39,840 --> 00:13:42,800 Speaker 1: a little bit more accurate. Maybe we should talk about that, Apple, 228 00:13:42,840 --> 00:13:47,360 Speaker 1: it's a disinformation conference. They get called out, they get 229 00:13:47,480 --> 00:13:51,240 Speaker 1: nailed by a kid looked like a college kid to me, 230 00:13:51,600 --> 00:13:55,560 Speaker 1: they are college kids. I mean, it was unbelievable and 231 00:13:55,600 --> 00:13:58,080 Speaker 1: he had no answer. Let's go to lunch. That was 232 00:13:58,160 --> 00:14:03,720 Speaker 1: his answer. Oh man, it's embarrassing and honestly, from heaven, 233 00:14:03,760 --> 00:14:05,720 Speaker 1: I should play that again tonight on TV. It's just 234 00:14:05,800 --> 00:14:10,240 Speaker 1: worth it um anyway, have you ever played the game? 235 00:14:10,280 --> 00:14:12,520 Speaker 1: Did you ever play this game? London? Would you rather, 236 00:14:12,720 --> 00:14:15,320 Speaker 1: for example, would you rather be a dunkey or an elephant? 237 00:14:15,360 --> 00:14:17,840 Speaker 1: What would you rather be? If I had a choice 238 00:14:17,840 --> 00:14:22,040 Speaker 1: between being tortured or watching CNN, I'd be tortured. That's 239 00:14:22,080 --> 00:14:24,520 Speaker 1: the game I'm play. That's a that's a good rather 240 00:14:24,640 --> 00:14:27,080 Speaker 1: all right, obviously, that's you'd rather be a Republican? I 241 00:14:27,120 --> 00:14:37,480 Speaker 1: got it. Anyway, Look, if we were all along eight 242 00:14:37,560 --> 00:14:39,480 Speaker 1: hundred and nine four one sean, if you want to 243 00:14:39,520 --> 00:14:44,280 Speaker 1: be a part of the program, Moderate Democrats, this is 244 00:14:44,320 --> 00:14:50,600 Speaker 1: interesting to watch. Moderate Democrats now themselves are lashing out 245 00:14:51,400 --> 00:14:55,040 Speaker 1: at their own party because they see what's coming, and 246 00:14:55,320 --> 00:14:59,800 Speaker 1: they now are really scared about what what Joe Biden's 247 00:15:00,040 --> 00:15:04,280 Speaker 1: out to do to resurrect this deal with Iran. Now 248 00:15:04,280 --> 00:15:06,520 Speaker 1: we already told you it would free up tens of 249 00:15:06,720 --> 00:15:10,800 Speaker 1: billions of dollars in cash for the Iranian mullahs to 250 00:15:10,880 --> 00:15:14,040 Speaker 1: make them rich again. So the number one state sponsor 251 00:15:14,240 --> 00:15:17,960 Speaker 1: terror reports that it would allow Putin was negotiating the deal, 252 00:15:18,000 --> 00:15:20,600 Speaker 1: which is madness in and of itself, to build a 253 00:15:20,680 --> 00:15:24,080 Speaker 1: nuclear facility for them. There will not be any place 254 00:15:24,120 --> 00:15:26,840 Speaker 1: anytime inspections that was never even in the first deal, 255 00:15:26,920 --> 00:15:30,360 Speaker 1: So what's the point anyway? And then it would allow 256 00:15:30,560 --> 00:15:35,360 Speaker 1: the Iranian Revolutionary Guard, the worst of the worst, that's 257 00:15:35,400 --> 00:15:39,120 Speaker 1: the terrorists in the world, that's their elite fighting team, 258 00:15:39,200 --> 00:15:41,080 Speaker 1: to get off our no fly list that you can 259 00:15:41,080 --> 00:15:44,720 Speaker 1: fly to America. This is insanity. And then on top 260 00:15:44,760 --> 00:15:47,880 Speaker 1: of that, they would import oil from Iran. That's even 261 00:15:47,920 --> 00:15:50,640 Speaker 1: more insane, because like it's insane to import oil from 262 00:15:50,720 --> 00:15:56,360 Speaker 1: Venezuela anyway. One representative, the Democrat Alained Laurea, said that 263 00:15:56,400 --> 00:15:59,880 Speaker 1: these negotiations have taken a troubling turn. We feel weak 264 00:16:00,040 --> 00:16:04,720 Speaker 1: and stay quiet about the unacceptable, deeply troubling turn that 265 00:16:04,840 --> 00:16:08,680 Speaker 1: these reports have reportedly taken. I've had an opportunity to 266 00:16:08,720 --> 00:16:12,880 Speaker 1: speak to the Israeli ambassador to the US, and his 267 00:16:12,960 --> 00:16:17,120 Speaker 1: direct quote was, this agreement plan places a ran in 268 00:16:17,360 --> 00:16:21,240 Speaker 1: Israel on a collision course. We find a very concerning 269 00:16:21,240 --> 00:16:24,240 Speaker 1: assessment of the situation. She said her serious concerns about 270 00:16:24,280 --> 00:16:28,560 Speaker 1: the negotiations in Vienna, discussing lifting sanctions designed not just 271 00:16:28,720 --> 00:16:32,360 Speaker 1: to address Iran's nuclear activities, but even those addressing its 272 00:16:32,360 --> 00:16:36,760 Speaker 1: state sponsorship of terrorism. So and then Democratic from Democrat 273 00:16:36,800 --> 00:16:41,440 Speaker 1: from New Jersey. Josh Gottenmeyer and Donald Norcross from New 274 00:16:41,480 --> 00:16:46,160 Speaker 1: Jersey opposed the original deal of Obama and then Joe Biden. 275 00:16:46,440 --> 00:16:50,280 Speaker 1: They're arguing, the regime has proven they cannot be trusted. 276 00:16:51,280 --> 00:16:55,400 Speaker 1: Why would we ever ever deal with the regime that 277 00:16:55,560 --> 00:16:59,000 Speaker 1: chants death to America, death to Israel? Why because we 278 00:16:59,080 --> 00:17:01,680 Speaker 1: want their oil and we won't drive here, drill now 279 00:17:01,720 --> 00:17:19,200 Speaker 1: and save money. This is what's right with America. You're 280 00:17:19,240 --> 00:17:24,040 Speaker 1: listening to the Sean Hannity Show, all right, twenty five 281 00:17:24,119 --> 00:17:26,000 Speaker 1: to the top of the hour. Eight hundred and nine 282 00:17:26,080 --> 00:17:29,119 Speaker 1: for one, Shawn is our number. If you want to 283 00:17:29,680 --> 00:17:33,520 Speaker 1: join us, you know, it's if you have Democrats this panic. 284 00:17:34,560 --> 00:17:37,320 Speaker 1: Ask yourself this. And I found this pretty funny when 285 00:17:37,320 --> 00:17:39,639 Speaker 1: I was doing my research this morning and I'm looking 286 00:17:39,640 --> 00:17:42,760 Speaker 1: at what are the news of the day. White House 287 00:17:42,800 --> 00:17:46,320 Speaker 1: staffers are raiding Political They're going after Politico, which is 288 00:17:46,359 --> 00:17:49,040 Speaker 1: not a conservative publication. I can tell you that for 289 00:17:49,240 --> 00:17:55,119 Speaker 1: insufficiently touting historic Biden wins. I'm reading this and it 290 00:17:55,119 --> 00:17:58,600 Speaker 1: says White House Deputy Communications Director Kate Berner called out 291 00:17:58,640 --> 00:18:03,080 Speaker 1: Political Thursday for a ledge not touting the Biden administration's 292 00:18:03,160 --> 00:18:07,879 Speaker 1: historic achievements enough. I'm sitting there and thinking to myself, 293 00:18:08,080 --> 00:18:11,760 Speaker 1: what historic achievements, Well, they do have them. You know, 294 00:18:11,840 --> 00:18:15,040 Speaker 1: forty year high of inflation, that's historic. We have the 295 00:18:15,119 --> 00:18:19,760 Speaker 1: highest gas prices ever, that's historic. Probably working on the 296 00:18:19,800 --> 00:18:23,879 Speaker 1: worst foreign policy deal ever in the history of this 297 00:18:24,000 --> 00:18:28,880 Speaker 1: country with Iran, that would be historic. The disastrous pull 298 00:18:28,920 --> 00:18:34,920 Speaker 1: out from Afghanistan that abandoned Americans and thousands of Green 299 00:18:35,000 --> 00:18:39,359 Speaker 1: card holders and eighty billion plus dollars and high tech 300 00:18:39,400 --> 00:18:43,720 Speaker 1: military equipment and abandoning or Afghan allies. That was pretty 301 00:18:43,760 --> 00:18:48,000 Speaker 1: historic too. You know, having you know, no idea how 302 00:18:48,040 --> 00:18:51,840 Speaker 1: to deal with Vladimir Putin on the world stage, that's historic. 303 00:18:51,920 --> 00:18:54,360 Speaker 1: Not knowing what day it is that I guess that's historic. 304 00:18:55,359 --> 00:18:58,320 Speaker 1: Not having COVID tests. They run out of them around Christmas, 305 00:18:58,320 --> 00:19:01,880 Speaker 1: a time you'd expect more attack with people, would mean 306 00:19:02,440 --> 00:19:08,199 Speaker 1: predictably higher amounts of cases and infections. But they ran 307 00:19:08,240 --> 00:19:11,080 Speaker 1: out of task, They ran out of monoclone lantibody treatments. 308 00:19:11,080 --> 00:19:13,080 Speaker 1: And their answer at the time was right after Delta, 309 00:19:13,119 --> 00:19:16,920 Speaker 1: well we didn't see almicron coming, did they see Amicron 310 00:19:16,960 --> 00:19:20,560 Speaker 1: two is here? Because half the states in this country 311 00:19:20,640 --> 00:19:23,800 Speaker 1: right now have been ticking up in terms of the 312 00:19:23,880 --> 00:19:27,000 Speaker 1: case load because of amicron two, which is now the 313 00:19:27,040 --> 00:19:29,840 Speaker 1: dominant variant in the country. Of course they don't have 314 00:19:29,960 --> 00:19:33,359 Speaker 1: enough monoclonal lantibodies. But I've been anything that Nancy Pelosi 315 00:19:33,440 --> 00:19:37,040 Speaker 1: got hers. But it's not that I begrudge her of this, 316 00:19:37,520 --> 00:19:40,439 Speaker 1: but it should be available for every American, not just 317 00:19:40,520 --> 00:19:44,399 Speaker 1: for important politicians. Ronda Sant has made it available for 318 00:19:44,520 --> 00:19:48,680 Speaker 1: everybody in Florida all over the state for free. Once 319 00:19:48,760 --> 00:19:52,920 Speaker 1: breakout cases started and that he had monoclone, landa body 320 00:19:52,920 --> 00:19:55,920 Speaker 1: centers and they went out and they promoted it. And 321 00:19:56,000 --> 00:19:58,440 Speaker 1: then Joe finally discovered it when he gave his vaccine 322 00:19:58,440 --> 00:20:01,119 Speaker 1: mandate speech, and then he started ashing it to the stage, 323 00:20:01,320 --> 00:20:04,320 Speaker 1: we're giving you too much of it? Well, what do 324 00:20:04,320 --> 00:20:06,760 Speaker 1: you mean you're giving too much of it? You give 325 00:20:06,760 --> 00:20:09,399 Speaker 1: it to everybody that wants and needs it. If people 326 00:20:09,440 --> 00:20:12,600 Speaker 1: think that is their best answer, why would you deny 327 00:20:12,720 --> 00:20:17,040 Speaker 1: them the one therapeutic that actually is the one that 328 00:20:17,119 --> 00:20:20,320 Speaker 1: works the best. And a lot of talk I've never 329 00:20:20,359 --> 00:20:23,800 Speaker 1: seen people wrote this story by the way that I had. 330 00:20:24,000 --> 00:20:27,119 Speaker 1: I've been telling people I've remected Linda. Is that not 331 00:20:27,200 --> 00:20:29,480 Speaker 1: the one thing that I kept saying. It's not a 332 00:20:29,520 --> 00:20:32,919 Speaker 1: single study that I've seen that shows that it works. 333 00:20:34,760 --> 00:20:36,919 Speaker 1: The one. It's the one that I've said yeah, and 334 00:20:36,960 --> 00:20:41,840 Speaker 1: that I've also said on and repeated that the manufacturer 335 00:20:42,200 --> 00:20:45,320 Speaker 1: of of I remect and said, nah, we don't want 336 00:20:45,320 --> 00:20:47,919 Speaker 1: to use for off label use for COVID. There's no 337 00:20:47,960 --> 00:20:49,760 Speaker 1: evidence that it work. But at the end of the day, 338 00:20:49,840 --> 00:20:52,720 Speaker 1: can we just have an honest conversation about the fact that, well, 339 00:20:52,800 --> 00:20:55,240 Speaker 1: we've had guests on this program mentioned it is part 340 00:20:55,240 --> 00:20:58,680 Speaker 1: of their protocol and the anecdotally they say it works, 341 00:20:58,720 --> 00:21:01,680 Speaker 1: but there have been studies that have shown hydroxy chloric 342 00:21:01,720 --> 00:21:05,520 Speaker 1: win in fact taken early mitigate symptoms. Right, But also, 343 00:21:05,720 --> 00:21:08,280 Speaker 1: isn't there isn't there a conversation you're supposed to have 344 00:21:08,359 --> 00:21:11,200 Speaker 1: with your doctor. Isn't that what you say every day? Doctor? 345 00:21:13,400 --> 00:21:16,160 Speaker 1: Maybe maybe they think it's I mean, come on, yeah, 346 00:21:16,160 --> 00:21:19,040 Speaker 1: we both know my speech. But we know the one 347 00:21:19,119 --> 00:21:23,760 Speaker 1: therapeutic that works monoclonal anti bodies, Okay, Strova mad work 348 00:21:23,840 --> 00:21:27,040 Speaker 1: for BA one. Well, now let's now that we know 349 00:21:27,760 --> 00:21:33,120 Speaker 1: there are two separate monoclonal anti bodies that we know 350 00:21:33,520 --> 00:21:36,720 Speaker 1: work well for omicron two point, why are we not 351 00:21:36,800 --> 00:21:41,520 Speaker 1: masked producing this eli Lilly and Murk have them Okay, 352 00:21:41,560 --> 00:21:44,720 Speaker 1: we'll use the ones that work for whatever individual variant 353 00:21:44,920 --> 00:21:47,280 Speaker 1: we have at any given time. Anyway, So back to 354 00:21:47,320 --> 00:21:50,520 Speaker 1: this whole political thing. They're angry and berating political for 355 00:21:50,600 --> 00:21:55,119 Speaker 1: insufficiently touting historic Biden wins. What are the winds? You know? 356 00:21:55,480 --> 00:21:58,960 Speaker 1: After a political reporters shared their West Wing playbook newsletter, 357 00:21:59,440 --> 00:22:02,800 Speaker 1: berner is sponsor's a scornful tweet accusing the outlet of 358 00:22:02,880 --> 00:22:08,080 Speaker 1: not touting enough of Biden Biden administration's historic wins with 359 00:22:08,119 --> 00:22:11,320 Speaker 1: a jab at the newsletter. They're going after political. I mean, 360 00:22:11,680 --> 00:22:14,479 Speaker 1: I can understand them going after me because I just 361 00:22:14,520 --> 00:22:16,199 Speaker 1: call it as it is, and I just tell the 362 00:22:16,240 --> 00:22:18,520 Speaker 1: truth about them, and I show Joe Biden for who 363 00:22:18,520 --> 00:22:24,240 Speaker 1: he is. Okay, so they cite Judge Jackson. Judge Jackson 364 00:22:24,640 --> 00:22:26,679 Speaker 1: now on the Supreme Court. Okay, you can count that 365 00:22:26,760 --> 00:22:30,639 Speaker 1: as a win. But we have the worst economy with 366 00:22:30,720 --> 00:22:35,720 Speaker 1: the worst inflation we've had in forty years. We have 367 00:22:35,960 --> 00:22:39,560 Speaker 1: the worst response to COVID. They have not warped speed 368 00:22:39,600 --> 00:22:44,600 Speaker 1: in anything. They've one size fits all booster booster booster 369 00:22:44,680 --> 00:22:48,480 Speaker 1: booster booster. But you can have your beat fully vaccinated 370 00:22:48,520 --> 00:22:51,600 Speaker 1: with boosters, and even a previous infection still get contagious 371 00:22:51,960 --> 00:22:55,399 Speaker 1: and still pass it on to others that held until 372 00:22:55,520 --> 00:22:58,480 Speaker 1: Delta hit the scene, and now I'm a crom brought 373 00:22:58,480 --> 00:23:03,040 Speaker 1: it to a whole new level. There is nothing good 374 00:23:03,040 --> 00:23:06,560 Speaker 1: to talk about. That's the problem. It's not Politico's fault. 375 00:23:06,640 --> 00:23:10,160 Speaker 1: Why are you blaming the people that are just telling 376 00:23:10,200 --> 00:23:13,159 Speaker 1: the truth. By the way, one of these TikTok you know, 377 00:23:13,280 --> 00:23:15,760 Speaker 1: influencers as they called them, that was brought to the 378 00:23:15,760 --> 00:23:18,480 Speaker 1: White House, one of them is spoken out and saying 379 00:23:18,480 --> 00:23:21,639 Speaker 1: that they feel that the White House was using the 380 00:23:21,760 --> 00:23:25,880 Speaker 1: influencers as pawns. Of course they were being used. That's 381 00:23:25,960 --> 00:23:27,679 Speaker 1: the whole point. We want you to We want you 382 00:23:27,720 --> 00:23:30,840 Speaker 1: to use your influence and tell everybody how great Joe is, 383 00:23:30,880 --> 00:23:34,560 Speaker 1: even though his policies suck. And anyway, the guy's name 384 00:23:34,640 --> 00:23:37,920 Speaker 1: is I guess gen Z historian on the app. That's 385 00:23:37,960 --> 00:23:43,000 Speaker 1: his name on the influencer list of whatever influencers they are. 386 00:23:43,400 --> 00:23:45,359 Speaker 1: You're laughing because you know, damn well, I don't know 387 00:23:45,960 --> 00:23:49,240 Speaker 1: crap about this, but anyway, I know what an influencer 388 00:23:49,359 --> 00:23:52,399 Speaker 1: is like. For example, the Kardashians or influencers, if they 389 00:23:53,040 --> 00:23:56,119 Speaker 1: get paid, if they wear and promote certain jewelry or 390 00:23:56,160 --> 00:23:58,720 Speaker 1: clothing or whatever, and they do very well. It's a 391 00:23:58,720 --> 00:24:01,960 Speaker 1: great business for them. Good for them their entrepreneurs and 392 00:24:02,359 --> 00:24:05,439 Speaker 1: I hope it worked. But they brought thirty influencers in 393 00:24:05,480 --> 00:24:07,920 Speaker 1: this zoom call on March the tenth, and the White 394 00:24:07,920 --> 00:24:11,440 Speaker 1: House enlisted them to help spread their strategic goals, meeting 395 00:24:11,520 --> 00:24:16,480 Speaker 1: their propaganda with relation to messaging on Russia's war against Ukraine. 396 00:24:17,400 --> 00:24:21,119 Speaker 1: But this why are they so sensitive to all of this? 397 00:24:21,280 --> 00:24:23,359 Speaker 1: We'll get into this a lot of this later. We 398 00:24:23,400 --> 00:24:25,960 Speaker 1: have a lot of woke news out there, and I 399 00:24:25,960 --> 00:24:27,520 Speaker 1: don't know, maybe we'll talk about it in the next hour. 400 00:24:27,560 --> 00:24:29,439 Speaker 1: I don't have a lot of time now. But the 401 00:24:29,560 --> 00:24:35,920 Speaker 1: Health and Human Services Secretary was literally appearing before Congress 402 00:24:36,400 --> 00:24:42,200 Speaker 1: is asked by Congresswoman Lauren Baubert during the hearing, and well, 403 00:24:42,240 --> 00:24:46,440 Speaker 1: Americans are entitled on the issue of, for example, funding 404 00:24:46,520 --> 00:24:52,000 Speaker 1: on gender reassignment for children, gender reassignment surgery for children, 405 00:24:52,840 --> 00:24:56,720 Speaker 1: and so the congresswoman asked, or well, you know, are 406 00:24:56,720 --> 00:25:00,800 Speaker 1: we going to fund this? And anyway, the Health and 407 00:25:00,880 --> 00:25:03,880 Speaker 1: Human Service as secretary goes on to say, well, Americans 408 00:25:03,920 --> 00:25:06,920 Speaker 1: are entitled to receive healthcare services. They're entitled to receive 409 00:25:07,800 --> 00:25:11,440 Speaker 1: any of the cases you mentioned, and later in the exchange, 410 00:25:11,480 --> 00:25:16,679 Speaker 1: the Congresswoman Beaubert asked the Sarah about a document suggesting 411 00:25:16,920 --> 00:25:20,920 Speaker 1: removing children from homes is on the table if parents 412 00:25:21,000 --> 00:25:26,840 Speaker 1: withhold gender affirming care for their children and anyway, His 413 00:25:26,960 --> 00:25:29,679 Speaker 1: answer was, I can respond quickly, Congresswoman. I believe in 414 00:25:29,720 --> 00:25:35,040 Speaker 1: supporting and protecting transgender youth. I believe that they, along 415 00:25:35,080 --> 00:25:38,840 Speaker 1: with their parents and their caregivers, will make the best decisions. 416 00:25:38,880 --> 00:25:41,200 Speaker 1: And I would urge politicians like you to stay out 417 00:25:41,200 --> 00:25:45,280 Speaker 1: of their business. Now, how young are we talking about? 418 00:25:45,640 --> 00:25:50,159 Speaker 1: Because they're talking about gender reassignment surgery. My understanding is 419 00:25:50,200 --> 00:25:55,800 Speaker 1: that's permanent. My understanding is, you know, do we really 420 00:25:56,040 --> 00:26:00,200 Speaker 1: think that we could take children away from parents? Is 421 00:26:00,240 --> 00:26:03,640 Speaker 1: they disagree and they have parental authority over their kids 422 00:26:03,760 --> 00:26:07,280 Speaker 1: till their kids are emancipated or their kids turned what eighteen? 423 00:26:07,359 --> 00:26:09,239 Speaker 1: I guess they can make any decision they want at 424 00:26:09,240 --> 00:26:12,879 Speaker 1: that point. You know, do we need a period of 425 00:26:12,920 --> 00:26:20,040 Speaker 1: time to make sure something so permanent such a radical change. 426 00:26:20,400 --> 00:26:23,680 Speaker 1: What age are they talking about here, and I'm sure 427 00:26:23,720 --> 00:26:26,639 Speaker 1: they're going to politicize that too, And what is the 428 00:26:26,720 --> 00:26:29,719 Speaker 1: role of parents in this society? At this point? Parents 429 00:26:29,760 --> 00:26:33,240 Speaker 1: have a role and what their young children. Let's say 430 00:26:33,240 --> 00:26:37,080 Speaker 1: their young children express this desire. Let's say they're afraid 431 00:26:37,119 --> 00:26:39,439 Speaker 1: to talk to their parents. Is he saying that the 432 00:26:39,520 --> 00:26:44,040 Speaker 1: government would fund gender reassignment surgery without parental permission, or 433 00:26:44,040 --> 00:26:46,720 Speaker 1: that they would remove from the home any parent that 434 00:26:46,880 --> 00:26:49,520 Speaker 1: disagreed with the child's decision at a young age. We're 435 00:26:49,520 --> 00:26:52,640 Speaker 1: talking about children here, We're not talking about adults. When 436 00:26:52,680 --> 00:26:54,639 Speaker 1: you're an adult, you get to make your own decisions, 437 00:26:55,080 --> 00:26:57,440 Speaker 1: and whatever decisions people make in their life, frankly, is 438 00:26:57,480 --> 00:27:03,080 Speaker 1: none of our business. But giving parental controls to the government, 439 00:27:03,280 --> 00:27:07,000 Speaker 1: that's scary. And funding it, you know, when we're broke 440 00:27:07,200 --> 00:27:10,359 Speaker 1: on top of everything else. I don't think American taxpayers 441 00:27:10,400 --> 00:27:13,119 Speaker 1: should be funding that either, But we'll get to that 442 00:27:13,200 --> 00:27:16,480 Speaker 1: later in a program. I that's that's pretty unbelievable to me. 443 00:27:17,240 --> 00:27:19,160 Speaker 1: I will tell you that all more and more people 444 00:27:19,160 --> 00:27:22,440 Speaker 1: that I'm talking to are really getting involved in the 445 00:27:22,600 --> 00:27:26,119 Speaker 1: in the midterm elections. They're really starting to focus in. 446 00:27:26,160 --> 00:27:29,600 Speaker 1: We got primaries now starting the next month, and I 447 00:27:29,680 --> 00:27:32,240 Speaker 1: think I even think ballots are being sent out now 448 00:27:32,640 --> 00:27:35,639 Speaker 1: in many states, mail and ballots. I hope your state 449 00:27:35,760 --> 00:27:37,920 Speaker 1: I warned you in early twenty twenty one. You got 450 00:27:37,920 --> 00:27:40,199 Speaker 1: to get on your state legislature and make sure election 451 00:27:40,240 --> 00:27:44,160 Speaker 1: integrity measures are put in place, like signature verification, voter 452 00:27:44,320 --> 00:27:49,480 Speaker 1: ID laws, chain of custody controls, updated voter rolls every election. 453 00:27:49,960 --> 00:27:53,000 Speaker 1: Most states have laws that say partisan observers get to 454 00:27:53,040 --> 00:27:56,680 Speaker 1: observe the count start to finish, meaning anybody from any 455 00:27:56,680 --> 00:27:58,760 Speaker 1: party on the ballot. You get to have a representative 456 00:27:58,840 --> 00:28:02,040 Speaker 1: watch the vote counting. That doesn't mean a thousand feet away, 457 00:28:02,200 --> 00:28:04,800 Speaker 1: one hundred feet away, twenty feet away, six feet away. Now, 458 00:28:04,800 --> 00:28:06,320 Speaker 1: you've got to be able to see the ballot, make 459 00:28:06,359 --> 00:28:09,480 Speaker 1: sure that the people counting the ballots are actually counting 460 00:28:09,480 --> 00:28:13,359 Speaker 1: them accurately. It's just it's an integrity measure. Why is 461 00:28:13,400 --> 00:28:17,160 Speaker 1: if you have integrity measures, then people will have confidence 462 00:28:17,160 --> 00:28:19,800 Speaker 1: in the election results and we don't have to question 463 00:28:19,840 --> 00:28:23,960 Speaker 1: the results. That's just it's a very simple, basic, fundamental thing. 464 00:28:24,560 --> 00:28:28,359 Speaker 1: Democrats are nervous too, because four times as many Pennsylvanian 465 00:28:28,440 --> 00:28:34,360 Speaker 1: Democrats are now reregistering as Republicans. Now, that's pretty interesting 466 00:28:34,359 --> 00:28:37,879 Speaker 1: that that was highlighted by Reuters. That's on track to 467 00:28:37,960 --> 00:28:40,920 Speaker 1: be the highest conversion rate in at least a decade, 468 00:28:40,960 --> 00:28:44,440 Speaker 1: and well above twenty sixteen, they point out in their article. 469 00:28:45,040 --> 00:28:47,960 Speaker 1: So that's surging. Now, we told you about the poll 470 00:28:48,000 --> 00:28:52,120 Speaker 1: in New York that has Lee Zeldon against the current 471 00:28:52,160 --> 00:28:55,960 Speaker 1: governor who took over for Andrew Cuomo Katy Hoko. And 472 00:28:56,680 --> 00:28:59,520 Speaker 1: what's interesting about that is it's within the margin of 473 00:28:59,640 --> 00:29:04,120 Speaker 1: error for New York. Now, nobody thought that Glenn Yungcan 474 00:29:04,200 --> 00:29:08,560 Speaker 1: would win in Virginia and the Commonwealth there, and he didn't, 475 00:29:08,560 --> 00:29:10,520 Speaker 1: by the way, in large part because of this whole 476 00:29:10,520 --> 00:29:14,280 Speaker 1: issue of involving parents writes and involvement in their kids' school. 477 00:29:15,520 --> 00:29:18,200 Speaker 1: You know, what I don't understand is this we pay 478 00:29:18,280 --> 00:29:21,440 Speaker 1: more per capitalve per student with the worst results, and 479 00:29:21,520 --> 00:29:23,960 Speaker 1: we spend more time talking about what we're going to 480 00:29:24,000 --> 00:29:28,080 Speaker 1: teach kids about sex and gender identity issues. I don't know, 481 00:29:28,360 --> 00:29:31,520 Speaker 1: maybe that's the role of parents. I'm a little old fashioned, 482 00:29:32,000 --> 00:29:35,160 Speaker 1: and maybe I'm a little old fashioned and thinking that, well, 483 00:29:35,200 --> 00:29:37,560 Speaker 1: if we're coming in fortieth place and we're spending the 484 00:29:37,600 --> 00:29:45,760 Speaker 1: most money, maybe we need to refocus our priorities on reading, writing, math, science, computers, 485 00:29:46,080 --> 00:29:49,800 Speaker 1: you know, the basics, so we can have each child 486 00:29:49,880 --> 00:29:54,680 Speaker 1: get the education in this life. If you believe in capitalism, 487 00:29:54,720 --> 00:29:57,240 Speaker 1: liberty and freedom and the pursuit of happiness. The latter 488 00:29:57,280 --> 00:30:02,960 Speaker 1: to success is predicated on a good quality education. You know, 489 00:30:03,040 --> 00:30:05,560 Speaker 1: I was, I was fortunate. My parents really couldn't afford it, 490 00:30:05,560 --> 00:30:08,479 Speaker 1: but they sent you know, four kids to Catholic schools 491 00:30:08,520 --> 00:30:11,440 Speaker 1: for twelve years. That's why I knew my parents didn't 492 00:30:11,480 --> 00:30:13,080 Speaker 1: have enough money to send me to college, and paid 493 00:30:13,160 --> 00:30:14,720 Speaker 1: my own way as long as I could until I 494 00:30:14,760 --> 00:30:18,560 Speaker 1: ran out of money. And and that foundation helped me 495 00:30:19,000 --> 00:30:22,760 Speaker 1: so much in my life. And and we there's no 496 00:30:22,880 --> 00:30:25,840 Speaker 1: reason we know how to give a good education, just 497 00:30:25,880 --> 00:30:27,800 Speaker 1: a matter if we have the will to do so. 498 00:30:28,680 --> 00:30:32,240 Speaker 1: We have the will to make to break this unholy 499 00:30:32,280 --> 00:30:36,160 Speaker 1: alliance as bond between the teachers unions that even get 500 00:30:36,200 --> 00:30:40,680 Speaker 1: to write you know, CDC rules and regulations regarding COVID 501 00:30:40,720 --> 00:30:44,040 Speaker 1: and schools because they have so much power. Because the 502 00:30:44,080 --> 00:30:47,480 Speaker 1: power is accumulated by giving and providing so much money 503 00:30:47,520 --> 00:30:52,960 Speaker 1: to democratic candidates during elections, the systems corrupt. That's swamp, 504 00:30:53,080 --> 00:30:56,360 Speaker 1: that's sewer, that's Washington, that's that's that's what we hate 505 00:30:56,360 --> 00:31:01,160 Speaker 1: about politics. Um, just pretty amazing times that we're living in. 506 00:31:02,200 --> 00:31:04,840 Speaker 1: And we have the latest on this war. We're gonna 507 00:31:04,880 --> 00:31:06,920 Speaker 1: get to at the top of the next hour. Oh well, 508 00:31:06,920 --> 00:31:08,520 Speaker 1: actually at the top of the next hour, we're gonna 509 00:31:08,520 --> 00:31:13,880 Speaker 1: meet in Nevada. We have Senate candidate Adam Laxhalt. I'm 510 00:31:13,920 --> 00:31:18,320 Speaker 1: supporting some Senate candidates. I'm supporting os and Pennsylvania, i 511 00:31:18,360 --> 00:31:22,560 Speaker 1: am supporting Ron Johnson. In Wisconsin, I'm supporting herschel Walker, 512 00:31:23,640 --> 00:31:29,400 Speaker 1: supporting Tim Scott's reelection, Marco Rubio's reelection, and I'm supporting Laxhalt. 513 00:31:29,920 --> 00:31:33,040 Speaker 1: I'm going very slowly through these candidates because if you 514 00:31:33,080 --> 00:31:37,440 Speaker 1: look at the states all right, Florida, Georgia, North and 515 00:31:37,480 --> 00:31:46,920 Speaker 1: South Carolina, New Hampshire, Pennsylvania, Wisconsin, Ohio, Missouri, Nevada, and Arizona, 516 00:31:46,920 --> 00:31:50,320 Speaker 1: where we're supporting Bernovitch out there. And I'm just making 517 00:31:50,360 --> 00:31:53,600 Speaker 1: sure that I'm supporting real conservatives that are going to 518 00:31:53,640 --> 00:31:56,760 Speaker 1: go to Washington and uphold these principles. And I'm putting 519 00:31:56,840 --> 00:32:00,040 Speaker 1: him through the ringer, and I'm making sure before I 520 00:31:59,800 --> 00:32:02,080 Speaker 1: say yay that I support you that they're going to 521 00:32:02,200 --> 00:32:04,800 Speaker 1: go there, hold true to their principles, and fight after 522 00:32:04,840 --> 00:32:07,800 Speaker 1: the things that they say they believe it. Anyway, eight 523 00:32:07,880 --> 00:32:09,640 Speaker 1: hundred and nine four one Shaun is our number. If 524 00:32:09,640 --> 00:32:11,080 Speaker 1: you want to be a part of the program