1 00:00:00,320 --> 00:00:04,399 Speaker 1: Stay right here for our final news roundup and Information Overload. 2 00:00:04,880 --> 00:00:07,480 Speaker 1: All Right, News round Up, Information Overload, Hour eight hundred 3 00:00:07,560 --> 00:00:09,680 Speaker 1: nine for one sean if you want to be a 4 00:00:09,680 --> 00:00:12,280 Speaker 1: part of the program. In a second, we'll talk to 5 00:00:12,320 --> 00:00:16,520 Speaker 1: Ari Fleischer, former White House Press Secretary to George W. Bush. 6 00:00:16,520 --> 00:00:21,040 Speaker 1: He's got a new book coming out soon. It's called Suppression, Deception, Snobbery. 7 00:00:21,520 --> 00:00:24,119 Speaker 1: I'd love the name of this book and bias and 8 00:00:24,640 --> 00:00:28,640 Speaker 1: why the press gets so much wrong and doesn't care 9 00:00:28,920 --> 00:00:32,840 Speaker 1: and just doesn't care. How true is that? Anyway? First, 10 00:00:32,920 --> 00:00:36,120 Speaker 1: let's start with Jen Saki, and this now is the 11 00:00:36,159 --> 00:00:40,800 Speaker 1: second time. Who's Biden himself the first time calling Box 12 00:00:40,880 --> 00:00:44,000 Speaker 1: News reporter, who's done a phenomenal job, Who's a great 13 00:00:44,080 --> 00:00:45,760 Speaker 1: He's gonna join us at the bottom of the hour. 14 00:00:46,320 --> 00:00:51,160 Speaker 1: He's a great reporter, works incredibly hard. First Joe Biden 15 00:00:51,200 --> 00:00:53,800 Speaker 1: calls him a son of a bitch. Then Jen Saki, 16 00:00:54,240 --> 00:00:57,680 Speaker 1: who's soon to work at ms DNC and I'll have 17 00:00:57,760 --> 00:01:01,440 Speaker 1: a long response to her. Tonight on Hannity calls him 18 00:01:01,440 --> 00:01:03,040 Speaker 1: a son of a bitch again. So we have to 19 00:01:03,080 --> 00:01:08,760 Speaker 1: talk about Peter Doocey for one sec. Okay, okay, is 20 00:01:08,800 --> 00:01:13,760 Speaker 1: he a stupid son of a bitch or does he 21 00:01:13,840 --> 00:01:20,399 Speaker 1: play a stupid so of a bitch on TV? Okay? Um? Well, um? 22 00:01:21,720 --> 00:01:27,120 Speaker 1: He works for a network okay that provides people with 23 00:01:27,240 --> 00:01:31,800 Speaker 1: questions that nothing personal to any individual, including Peter Doocey, 24 00:01:32,200 --> 00:01:34,560 Speaker 1: but might make anyone sound like a stupid son of 25 00:01:34,600 --> 00:01:37,920 Speaker 1: a bitch. Works for a network where people give him 26 00:01:38,000 --> 00:01:41,959 Speaker 1: questions that one might conclude your stupid son of a bitch? 27 00:01:42,240 --> 00:01:47,320 Speaker 1: All right? Ari Fleischer Suppression, deception, snobbery, and bias, and 28 00:01:47,640 --> 00:01:51,200 Speaker 1: why the press gets so much wrong and just doesn't care. 29 00:01:51,320 --> 00:01:53,280 Speaker 1: Ari Fleischer is back. Well, let's how are you, sir? 30 00:01:54,120 --> 00:01:57,000 Speaker 1: I'm doing great, Sean, thanks for having me. Well, I 31 00:01:57,040 --> 00:01:58,880 Speaker 1: got a lot to talk about tonight. When it comes 32 00:01:58,920 --> 00:02:02,080 Speaker 1: to Jen Saki, I have a list of lies that 33 00:02:02,120 --> 00:02:05,600 Speaker 1: she has told and it is beyond extensive. She's given 34 00:02:05,600 --> 00:02:10,240 Speaker 1: out false information. She's very combative. You know. It basically 35 00:02:10,280 --> 00:02:13,080 Speaker 1: sounds like the perfect MSTNC host to me. But anyway, 36 00:02:13,080 --> 00:02:16,320 Speaker 1: what's your reaction about? Well, you know that clip you 37 00:02:16,400 --> 00:02:18,600 Speaker 1: play that captures a lot of what I write about 38 00:02:18,639 --> 00:02:21,359 Speaker 1: in my book. I mean, you had deception, you had snobbery, 39 00:02:21,520 --> 00:02:24,800 Speaker 1: you had bias, and you had them being wrong. The 40 00:02:24,800 --> 00:02:26,760 Speaker 1: only thing they didn't do was suppress it because they 41 00:02:26,800 --> 00:02:29,520 Speaker 1: liked it. It looks on the problem here is if 42 00:02:29,560 --> 00:02:32,760 Speaker 1: Donald Trump at a rally, when he railed against the press, 43 00:02:32,919 --> 00:02:36,440 Speaker 1: called them out by name, used rude language, tough language, 44 00:02:36,520 --> 00:02:39,960 Speaker 1: the press locked arms and went ballistic against Donald Trump. 45 00:02:40,040 --> 00:02:42,680 Speaker 1: Didn't say how can you say these things? These are 46 00:02:42,720 --> 00:02:45,680 Speaker 1: horrible things to say. You're we're going to get death threats. 47 00:02:46,040 --> 00:02:48,600 Speaker 1: And now they do the same thing. You heard the 48 00:02:48,639 --> 00:02:51,200 Speaker 1: audience reaction. You heard the way the question was teed 49 00:02:51,240 --> 00:02:53,240 Speaker 1: up to Jen and then you hear Jen play along 50 00:02:53,360 --> 00:02:57,639 Speaker 1: and called Peter Ducey that word is hypocritical. And that's 51 00:02:57,680 --> 00:02:59,800 Speaker 1: what they are. And this is where Donald Trump paid 52 00:02:59,840 --> 00:03:03,080 Speaker 1: the Frankly, Trump showed the hypocrisy of the left. He 53 00:03:03,080 --> 00:03:05,720 Speaker 1: had the courage to come along, let it rip, say 54 00:03:05,760 --> 00:03:08,679 Speaker 1: it the way it was, because most Republicans just tuck 55 00:03:08,720 --> 00:03:10,880 Speaker 1: their tails and they watched themselves get pounded by the 56 00:03:10,919 --> 00:03:15,120 Speaker 1: press and right on that. And I thought the media 57 00:03:15,280 --> 00:03:18,640 Speaker 1: throughout the entire time Donald Trump was president, so I 58 00:03:18,639 --> 00:03:21,520 Speaker 1: think they were as outraged as they were acting. No, 59 00:03:22,040 --> 00:03:24,639 Speaker 1: they were not. And as long as it's a Democrat 60 00:03:24,680 --> 00:03:28,280 Speaker 1: doing it, I said. Joe Biden was in the Democratic 61 00:03:28,320 --> 00:03:32,880 Speaker 1: presidential candidate Protection program during the campaign, and now he's 62 00:03:32,880 --> 00:03:36,600 Speaker 1: in the presidential Protection program. And you know, but this 63 00:03:36,680 --> 00:03:39,280 Speaker 1: is the same administration where Joe Biden had promised this. 64 00:03:40,720 --> 00:03:43,680 Speaker 1: But I'm not joking when I say this. If you're 65 00:03:43,680 --> 00:03:46,000 Speaker 1: ever working with me and I hear you treat another 66 00:03:46,040 --> 00:03:50,360 Speaker 1: colleague with disrespect, talk down to someone, I promise you 67 00:03:50,440 --> 00:03:54,200 Speaker 1: I will fire you on the spot, on the spot. 68 00:03:55,400 --> 00:04:02,520 Speaker 1: No if fans or butts, everybody, everybody and try and dignity. 69 00:04:03,640 --> 00:04:05,960 Speaker 1: No fans and butts. But I guess there's a big 70 00:04:06,040 --> 00:04:09,400 Speaker 1: butt here for him and virgin and Sackey. I'd have 71 00:04:09,440 --> 00:04:12,160 Speaker 1: to fire himself. Good thing. The American people are about 72 00:04:12,200 --> 00:04:17,520 Speaker 1: to do that anyway, that's pretty much a given. I agree. Yeah. 73 00:04:17,560 --> 00:04:19,480 Speaker 1: I mean this is why I wrote my book. Sean 74 00:04:19,880 --> 00:04:22,719 Speaker 1: and I watched the Trump years. I was just fed 75 00:04:23,120 --> 00:04:25,760 Speaker 1: up with the way the press cover Donald Trump. There 76 00:04:25,760 --> 00:04:27,919 Speaker 1: are issues I disagree with Donald Trump on, but I 77 00:04:28,000 --> 00:04:30,599 Speaker 1: try to be fair. And I watched the press taken 78 00:04:30,680 --> 00:04:33,400 Speaker 1: on themselves to say that they needed to save the 79 00:04:33,440 --> 00:04:37,280 Speaker 1: Republic from the existential threat that they declared Donald Trump 80 00:04:37,360 --> 00:04:39,640 Speaker 1: to be. And so what did they do. They put 81 00:04:39,680 --> 00:04:42,479 Speaker 1: their entire bodies on the scale, not a finger their 82 00:04:42,640 --> 00:04:45,799 Speaker 1: entire bodies. So much of the coverage of Donald Trump 83 00:04:45,880 --> 00:04:48,880 Speaker 1: was deceptive. How many stories did they put on the air, 84 00:04:49,000 --> 00:04:54,120 Speaker 1: especially CNN, that were false, misleading, deceptive? How many stories 85 00:04:54,120 --> 00:04:58,080 Speaker 1: I could have benefited President Trump did they suppress not tell? 86 00:04:58,160 --> 00:05:01,400 Speaker 1: And then the contagion spread to big tech where they 87 00:05:01,440 --> 00:05:05,520 Speaker 1: absolutely crushed anybody who would tell stories or report news 88 00:05:05,520 --> 00:05:08,239 Speaker 1: like The New York Post did about Joe Biden's lies 89 00:05:08,960 --> 00:05:13,440 Speaker 1: that were proven from Hunter Biden's laptop. Laptop it happens time. 90 00:05:13,880 --> 00:05:16,839 Speaker 1: Do you think there was a poll that showed a 91 00:05:16,880 --> 00:05:20,279 Speaker 1: pretty large percentage of people, had they known about the 92 00:05:20,400 --> 00:05:24,480 Speaker 1: Hunter Biden laptop being true, would not have voted for Biden. 93 00:05:24,520 --> 00:05:27,400 Speaker 1: Would it have changed the outcome of the election? I 94 00:05:27,440 --> 00:05:31,520 Speaker 1: guess we could. You know, guess I think what you're 95 00:05:31,520 --> 00:05:34,600 Speaker 1: referring to is fifteen percent of Biden voters, so that 96 00:05:34,640 --> 00:05:37,200 Speaker 1: if they only known that news which showed that Joe 97 00:05:37,240 --> 00:05:40,279 Speaker 1: Biden lied, they would have changed their vote and that 98 00:05:40,279 --> 00:05:42,000 Speaker 1: would have been the difference. So, you know, people may 99 00:05:42,040 --> 00:05:44,960 Speaker 1: Molly Hemingway wrote a book called Rigged, and she made 100 00:05:45,000 --> 00:05:47,400 Speaker 1: that one of the examples of how the media rigged 101 00:05:47,400 --> 00:05:50,919 Speaker 1: the election to make sure Biden won it, and Sean. 102 00:05:51,080 --> 00:05:55,279 Speaker 1: It's true the very way these media, these liberal media, 103 00:05:55,440 --> 00:05:59,880 Speaker 1: these people who just exhibit snobbism, looked down on half 104 00:06:00,080 --> 00:06:04,080 Speaker 1: the country, happily look down on half the country. It's 105 00:06:04,120 --> 00:06:06,800 Speaker 1: just another way of looking at us and saying we're 106 00:06:06,839 --> 00:06:09,720 Speaker 1: deplorables because we don't watch CNN or read the New 107 00:06:09,760 --> 00:06:11,640 Speaker 1: York Times and see the world the way they do, 108 00:06:11,960 --> 00:06:14,200 Speaker 1: and so they look down on us, and they in 109 00:06:14,240 --> 00:06:16,760 Speaker 1: this case went so far as to effect the election 110 00:06:17,160 --> 00:06:23,080 Speaker 1: with deplorables, smelly Walmart shoppers, and we're angry Americans that 111 00:06:23,160 --> 00:06:26,200 Speaker 1: cling to our God, guns, Bibles, and religion. By the way, 112 00:06:26,200 --> 00:06:28,679 Speaker 1: I'm guilty of everything all the way across the board. 113 00:06:29,120 --> 00:06:31,400 Speaker 1: Let me you mentioned CNN and their lies. Let me 114 00:06:31,440 --> 00:06:33,640 Speaker 1: just play a montage of it, because this is what 115 00:06:33,760 --> 00:06:36,040 Speaker 1: went on during the Trump years, as you're referring to. 116 00:06:36,520 --> 00:06:39,120 Speaker 1: And by the way, you're you just announced the name 117 00:06:39,160 --> 00:06:40,640 Speaker 1: of your poke, and it's going to be coming out 118 00:06:41,160 --> 00:06:44,000 Speaker 1: fairly soon. We're gonna put a link if you want 119 00:06:44,000 --> 00:06:46,560 Speaker 1: to get a first edition copy of it at Hannity 120 00:06:46,600 --> 00:06:49,440 Speaker 1: dot com. It's on Amazon dot com. But the listeners 121 00:06:49,480 --> 00:06:53,359 Speaker 1: cut of CNN fake news lies. Russian operatives claimed to 122 00:06:53,400 --> 00:06:58,120 Speaker 1: have compromising personal and financial information about mister Trump. We 123 00:06:58,120 --> 00:07:00,599 Speaker 1: are looking at the possibility that the president of the 124 00:07:00,640 --> 00:07:04,279 Speaker 1: United States and those around him during an election campaign 125 00:07:04,720 --> 00:07:08,760 Speaker 1: colluded with a hostile foreign power to undermine the basis 126 00:07:08,760 --> 00:07:13,560 Speaker 1: of our democracy. This is evidence of willingness to commit collusion. 127 00:07:13,680 --> 00:07:16,480 Speaker 1: It does look like collusion. It does look like he's 128 00:07:16,560 --> 00:07:19,840 Speaker 1: listening to putin more than he as American Intelligence should 129 00:07:19,840 --> 00:07:23,000 Speaker 1: also point out that no American president has ever accepted 130 00:07:23,040 --> 00:07:25,280 Speaker 1: the nomination of his party from the White House. It 131 00:07:25,400 --> 00:07:28,960 Speaker 1: was thought to be inappropriate of violation, perhaps even of 132 00:07:29,000 --> 00:07:32,440 Speaker 1: the Hatch Act. I mean, all of that went on, 133 00:07:32,800 --> 00:07:38,080 Speaker 1: three years of never ending lies. You know, only recently 134 00:07:38,320 --> 00:07:41,080 Speaker 1: because there's a grand jury that had been convened that 135 00:07:41,240 --> 00:07:44,000 Speaker 1: the Washington Post in New York Times finally a year 136 00:07:44,000 --> 00:07:46,679 Speaker 1: and a half later acknowledge that the Hunter Biden laptop 137 00:07:46,800 --> 00:07:50,280 Speaker 1: was true. Every indication, every bit of proof that has 138 00:07:50,320 --> 00:07:53,600 Speaker 1: come out from Michael Horowitz and his report, there's been 139 00:07:53,600 --> 00:07:57,120 Speaker 1: no evidence at all except just the opposite, and everything 140 00:07:57,160 --> 00:08:00,360 Speaker 1: that Durham is now putting in his filings, proof that 141 00:08:00,440 --> 00:08:03,119 Speaker 1: they knew from the beginning there was never any Trump 142 00:08:03,160 --> 00:08:06,480 Speaker 1: brush a collusion, But for three years they fed the 143 00:08:06,480 --> 00:08:11,520 Speaker 1: American people what was nothing short of an organized conspiracy 144 00:08:11,600 --> 00:08:14,960 Speaker 1: theory and lie in a hoax. You know, it's so 145 00:08:15,120 --> 00:08:18,680 Speaker 1: much deeper than just politics. It's cultural too. It's the 146 00:08:18,720 --> 00:08:22,120 Speaker 1: way they tell their stories to benefit one side in 147 00:08:22,160 --> 00:08:25,120 Speaker 1: our country. And it hasn't stopped. I mean, think about 148 00:08:25,120 --> 00:08:27,360 Speaker 1: what just happened in Florida, where they passed the most 149 00:08:27,400 --> 00:08:30,360 Speaker 1: reasonable law you could ever imagine to prohibit teachers from 150 00:08:30,360 --> 00:08:34,880 Speaker 1: teaching kids in grades K through three about sexual orientation. 151 00:08:35,240 --> 00:08:38,120 Speaker 1: And what does the press call it? Don't say gay, 152 00:08:38,520 --> 00:08:42,480 Speaker 1: That's not what that law is. But they twist, they distort, 153 00:08:42,559 --> 00:08:46,320 Speaker 1: they deceived the news to fit their liberal base. Look 154 00:08:46,320 --> 00:08:49,080 Speaker 1: at how they suppressed the information about the Waukisham massacre. 155 00:08:49,440 --> 00:08:52,120 Speaker 1: This was a case where a criminal driving a car, 156 00:08:52,160 --> 00:08:56,360 Speaker 1: a black guy, plowed through and killed people in a 157 00:08:56,480 --> 00:09:00,480 Speaker 1: parade in Wakasham, Wisconsin. They covered it and then they 158 00:09:00,480 --> 00:09:02,640 Speaker 1: were one and done. Then they went silent on it. 159 00:09:02,840 --> 00:09:04,480 Speaker 1: If it was a white guy who did that to 160 00:09:04,559 --> 00:09:07,600 Speaker 1: black people, the press would still be covering the story 161 00:09:07,679 --> 00:09:10,120 Speaker 1: months later in a feeding frenzy. They do it up 162 00:09:10,160 --> 00:09:12,160 Speaker 1: and down. And this is why you know my book 163 00:09:12,200 --> 00:09:15,840 Speaker 1: sites poll after pole telling you we all know in 164 00:09:15,880 --> 00:09:20,120 Speaker 1: our gut that American people don't trust the press. Edelman 165 00:09:20,160 --> 00:09:22,640 Speaker 1: pole just came out in early twenty twenty two. That 166 00:09:22,720 --> 00:09:26,360 Speaker 1: says sixty seven percent the American people worry that journalists 167 00:09:26,679 --> 00:09:30,680 Speaker 1: mislead their readers of viewers. That's more than they said 168 00:09:30,920 --> 00:09:35,679 Speaker 1: business people or government leaders mislead the people. Journalism is 169 00:09:35,720 --> 00:09:38,319 Speaker 1: at the bottom of the peril when it comes to trust. 170 00:09:38,880 --> 00:09:41,240 Speaker 1: And you just walked through that clip you played that 171 00:09:41,320 --> 00:09:44,720 Speaker 1: montage of CNN. One of the biggest reasons why and 172 00:09:44,800 --> 00:09:47,480 Speaker 1: so I devote a chapter in my book to CNN. 173 00:09:47,520 --> 00:09:49,000 Speaker 1: I devote a chapter in my book to the New 174 00:09:49,080 --> 00:09:52,200 Speaker 1: York Times. People need to hold them accountable. Note just 175 00:09:52,400 --> 00:09:55,760 Speaker 1: how bad they were, especially during the Trump years when 176 00:09:55,800 --> 00:10:02,480 Speaker 1: they did their best to unelect Donald Trump. Because they're 177 00:10:02,480 --> 00:10:05,360 Speaker 1: biased in a show in their reporting. All right, quick 178 00:10:05,360 --> 00:10:07,720 Speaker 1: break more with Ari Fleischer if you want a first 179 00:10:07,840 --> 00:10:10,720 Speaker 1: edition copy is soon to be released books Suppression, Deception, 180 00:10:10,840 --> 00:10:14,440 Speaker 1: Snobbery and Bias and Why the Press gets so much 181 00:10:14,480 --> 00:10:18,920 Speaker 1: wrong but just doesn't care. What a title? Quick break 182 00:10:19,040 --> 00:10:21,760 Speaker 1: right back? All right, Ari Fleischer just announced his new 183 00:10:21,800 --> 00:10:25,800 Speaker 1: book is going to be released shortly. It's called Suppression, Deception, 184 00:10:25,920 --> 00:10:29,160 Speaker 1: Snobbery and Bias and Why the Press gets so much 185 00:10:29,200 --> 00:10:33,080 Speaker 1: wrong and just doesn't care. As we continue with Ari Fleischer, 186 00:10:33,480 --> 00:10:36,559 Speaker 1: you know, it's it's interesting because I ask people a lot, 187 00:10:36,960 --> 00:10:39,040 Speaker 1: do you know what I do for a living? And 188 00:10:39,480 --> 00:10:43,120 Speaker 1: I never claim to be a journalist, but I do journalism. 189 00:10:43,720 --> 00:10:47,319 Speaker 1: The difference between me and say these people at MSDNC 190 00:10:47,679 --> 00:10:51,520 Speaker 1: or Fake New CNN and even the networks is they 191 00:10:51,600 --> 00:10:54,560 Speaker 1: claim that they're journalists. They're not journalists. They're talk show 192 00:10:54,600 --> 00:10:58,720 Speaker 1: hosts like me years, except I'm being honest about who 193 00:10:58,760 --> 00:11:01,720 Speaker 1: I am and I'm not high who I am. You know, 194 00:11:02,160 --> 00:11:03,520 Speaker 1: one of the points I make in the book, and 195 00:11:03,559 --> 00:11:05,400 Speaker 1: I do this by name, and what I do is 196 00:11:05,400 --> 00:11:08,319 Speaker 1: I just quote reporters. They hang themselves in my book, 197 00:11:08,320 --> 00:11:10,000 Speaker 1: and I just quote what they said on the air 198 00:11:10,000 --> 00:11:14,360 Speaker 1: on CNN. But John Harwood and Jim Acosta CNN, they 199 00:11:14,440 --> 00:11:18,280 Speaker 1: are two of the leading opinion quote reporters on quote 200 00:11:18,320 --> 00:11:21,480 Speaker 1: reporters at CNN, and neither as a reporter. They regularly 201 00:11:21,520 --> 00:11:23,280 Speaker 1: went on the air and gave their opinion about how 202 00:11:23,320 --> 00:11:27,520 Speaker 1: lousy Donald Trump was, and the management at CNN loved it. 203 00:11:27,559 --> 00:11:29,760 Speaker 1: They allowed these people to do it under the guise 204 00:11:29,880 --> 00:11:33,360 Speaker 1: of daytime straight news reporting. So my book names names, 205 00:11:33,880 --> 00:11:37,480 Speaker 1: it reveals goes back, shows exactly what they did, what 206 00:11:37,600 --> 00:11:40,480 Speaker 1: they said, and then I criticize them for it. And 207 00:11:40,600 --> 00:11:44,520 Speaker 1: it's replete with examples like that. Here's another one, Sean. 208 00:11:45,040 --> 00:11:47,119 Speaker 1: And this is why it goes so far beyond politics. 209 00:11:47,520 --> 00:11:50,720 Speaker 1: Remember when people thought COVID possibly could have originated at 210 00:11:50,760 --> 00:11:53,200 Speaker 1: a lab in China when it first broke out. Senator 211 00:11:53,240 --> 00:11:55,319 Speaker 1: Tom Cotton was one of the first people to surmise 212 00:11:55,720 --> 00:11:58,880 Speaker 1: that was a possibility. What did the media do. It 213 00:11:59,000 --> 00:12:01,959 Speaker 1: called it a conspirat theory, It said there's no way, 214 00:12:02,000 --> 00:12:05,839 Speaker 1: It called it lunacy. Cotton turns out to have been right, 215 00:12:06,000 --> 00:12:08,760 Speaker 1: that is a possibility, but for a year and a 216 00:12:08,840 --> 00:12:10,880 Speaker 1: half the press pounded in other way. It's bigger than 217 00:12:10,880 --> 00:12:13,960 Speaker 1: a possibility, it's an all likelihood, and in all likelihood, 218 00:12:13,960 --> 00:12:19,680 Speaker 1: American tax dollars through the NIH going through Eco Alliance 219 00:12:19,720 --> 00:12:22,880 Speaker 1: I think is the name of the company, funded some 220 00:12:23,000 --> 00:12:26,840 Speaker 1: of this research. With full knowledge that coronavirus research took 221 00:12:26,880 --> 00:12:29,679 Speaker 1: place in that Wuhan lab and gain a function research 222 00:12:29,720 --> 00:12:32,160 Speaker 1: took place there. But you see the press, the press 223 00:12:32,240 --> 00:12:35,600 Speaker 1: that you're not allowed to say that. When COVID began 224 00:12:35,960 --> 00:12:39,480 Speaker 1: in January twenty twenty, when Tom Cotton said that until 225 00:12:39,600 --> 00:12:43,560 Speaker 1: Joe Biden took the presidency, and when Biden's people said, well, 226 00:12:43,559 --> 00:12:45,559 Speaker 1: you know, it is a possibility. It came out of 227 00:12:45,559 --> 00:12:48,760 Speaker 1: a lab all of a sudden. Then Twitter and Facebook 228 00:12:48,760 --> 00:12:50,880 Speaker 1: allowed you to post it all of a sudden, and 229 00:12:50,960 --> 00:12:53,920 Speaker 1: then the Washington Post changed its headlines on Tom Cotton's 230 00:12:53,920 --> 00:12:56,920 Speaker 1: story to reflect that it could actually have happened. This 231 00:12:57,000 --> 00:13:00,079 Speaker 1: is the problem, Sean. When Donald Trump was president, the 232 00:13:00,120 --> 00:13:03,760 Speaker 1: press actively suppressed news that they did not like. As 233 00:13:03,800 --> 00:13:06,200 Speaker 1: soon as Joe Biden became president and his people said 234 00:13:06,200 --> 00:13:10,000 Speaker 1: the exact same information reporters, reporters kind of nodded their head, go, oh, yes, 235 00:13:10,320 --> 00:13:13,440 Speaker 1: I see what you mean. It's possible. This is the 236 00:13:13,559 --> 00:13:15,640 Speaker 1: problem the press has, and this is why I'm more 237 00:13:15,679 --> 00:13:17,920 Speaker 1: than half the country doesn't trust them at all and 238 00:13:18,040 --> 00:13:19,800 Speaker 1: thinks they're doing such a bad job, which is a 239 00:13:19,840 --> 00:13:22,600 Speaker 1: real problem. We need media. What they put something on 240 00:13:22,640 --> 00:13:24,920 Speaker 1: the air, we can all Americans. I don't think if 241 00:13:24,920 --> 00:13:27,480 Speaker 1: you're a liberal, conservatives can go all right, that's a fact. 242 00:13:27,840 --> 00:13:30,240 Speaker 1: I'll tell you what I think about it. But that's 243 00:13:30,320 --> 00:13:33,280 Speaker 1: good reporting, and the press has lost its way. They 244 00:13:33,320 --> 00:13:35,800 Speaker 1: don't do that anymore, you know. I think that's one 245 00:13:35,800 --> 00:13:39,480 Speaker 1: of the reasons why the term fake news. Donald Trump 246 00:13:39,600 --> 00:13:45,319 Speaker 1: very effectively tattooed that into every network because he was 247 00:13:45,360 --> 00:13:48,160 Speaker 1: telling the truth. And there is a lot of fake 248 00:13:48,240 --> 00:13:50,840 Speaker 1: news out there, and there are people with agendas and 249 00:13:50,840 --> 00:13:53,880 Speaker 1: they're not being honest about who they are. Anyway, I 250 00:13:53,880 --> 00:13:55,880 Speaker 1: love the title of the book. It's going to be 251 00:13:55,960 --> 00:13:58,360 Speaker 1: out if people want to get a first edition copy, 252 00:13:58,640 --> 00:14:04,439 Speaker 1: it'll be out shortly. It's suppression, deception, snobbery, and bias 253 00:14:05,000 --> 00:14:07,680 Speaker 1: and why the press gets so much wrong and just 254 00:14:07,880 --> 00:14:11,280 Speaker 1: doesn't care. They don't seem to care, Ari Fleischer. We'll 255 00:14:11,320 --> 00:14:13,240 Speaker 1: put a link on Hannity dot com and of course 256 00:14:13,280 --> 00:14:16,800 Speaker 1: Amazon dot com. Soon to be in bookstores everywhere, and 257 00:14:16,840 --> 00:14:19,680 Speaker 1: we'll let you know when the book is released. And congratulations. 258 00:14:19,960 --> 00:14:22,440 Speaker 1: I can't wait to get a hold of it. So 259 00:14:22,520 --> 00:14:24,120 Speaker 1: thank you. Sean's great to be with him. We get 260 00:14:24,120 --> 00:14:25,720 Speaker 1: a lot to talk about. Just wait till the book 261 00:14:25,760 --> 00:14:27,840 Speaker 1: comes out and get all the little nuggets and items 262 00:14:27,880 --> 00:14:29,720 Speaker 1: in the book. There's a lot more. Well. I know 263 00:14:29,800 --> 00:14:32,320 Speaker 1: you well enough to know that you do work your research. 264 00:14:32,440 --> 00:14:35,800 Speaker 1: Thank you, sir, Thank you anyway. One. Shan is on 265 00:14:35,800 --> 00:14:36,920 Speaker 1: a number if you want to be a part of 266 00:14:36,960 --> 00:14:39,200 Speaker 1: the program. When we get back By the way, we'll 267 00:14:39,280 --> 00:14:42,680 Speaker 1: check in with Peter Doocey get his reaction. We'll have 268 00:14:42,720 --> 00:14:45,000 Speaker 1: a lot more to say about it tonight on Hannity 269 00:14:45,040 --> 00:14:49,120 Speaker 1: on the Fox News Channel about Jen Saki's comments. Quick 270 00:14:49,120 --> 00:14:52,280 Speaker 1: break right back. You are listening to the best of 271 00:14:52,360 --> 00:14:55,840 Speaker 1: the Sean Hannity Show, and stay tuned. More memorable moments, 272 00:14:55,920 --> 00:14:58,560 Speaker 1: interesting guests, and a lot of fun coming up next 273 00:15:00,120 --> 00:15:01,760 Speaker 1: right twenty five to the top of the hour, eight 274 00:15:01,800 --> 00:15:04,040 Speaker 1: hundred and nine one Sean. If you want to be 275 00:15:04,080 --> 00:15:07,560 Speaker 1: a part of the program. Now you might remember Joe 276 00:15:07,640 --> 00:15:12,160 Speaker 1: Biden hot Mike gets caught. Is he got a question 277 00:15:12,240 --> 00:15:16,520 Speaker 1: from Fox News a White House correspondent, Peter Doocy, and 278 00:15:16,920 --> 00:15:19,120 Speaker 1: you know, calls him a son of a bitch. Listen, 279 00:15:19,640 --> 00:15:33,040 Speaker 1: it's it's on a hot mic. He got caught. Listen, 280 00:15:31,080 --> 00:15:39,320 Speaker 1: it's asset for the stupid son. What a stupid son 281 00:15:39,360 --> 00:15:41,960 Speaker 1: of a bitch. Now he called Peter Doocey. He didn't 282 00:15:41,960 --> 00:15:45,600 Speaker 1: really fully apologize what he called Peter Doocey about it. Now, 283 00:15:45,640 --> 00:15:48,600 Speaker 1: we have the story over the weekend where Jens Socking 284 00:15:48,600 --> 00:15:51,560 Speaker 1: in front of a live audience, I guess during a 285 00:15:51,760 --> 00:15:54,680 Speaker 1: recording of Pod Save America, which I've never heard of 286 00:15:54,720 --> 00:15:59,760 Speaker 1: before and anyway, So they asked the question about whether 287 00:15:59,840 --> 00:16:03,080 Speaker 1: or not Peter Doocey does he just play a stupid 288 00:16:03,080 --> 00:16:05,440 Speaker 1: son of a bitch on TV? Ha ha ha. Here's 289 00:16:05,480 --> 00:16:07,800 Speaker 1: how she answers. So we have to talk about Peter 290 00:16:07,840 --> 00:16:14,880 Speaker 1: Doocey for one sec. Okay, okay, is he a stupid 291 00:16:14,880 --> 00:16:18,800 Speaker 1: son of a bitch or does he play a stupid 292 00:16:18,800 --> 00:16:26,280 Speaker 1: so of a bitch on TV? Okay? Um? Well, he 293 00:16:26,400 --> 00:16:31,640 Speaker 1: works for a network okay that um provides people with 294 00:16:31,800 --> 00:16:36,400 Speaker 1: questions that nothing personal to any individual, including Peter Doocey, 295 00:16:36,800 --> 00:16:39,240 Speaker 1: but might make anyone sound like a stupid son of 296 00:16:39,240 --> 00:16:42,720 Speaker 1: a bitch. He works for a network that provides people 297 00:16:42,840 --> 00:16:46,960 Speaker 1: questions that anyone can interpret to be making them out 298 00:16:46,960 --> 00:16:48,920 Speaker 1: to be a stupid son of a bitch. Fox News 299 00:16:49,000 --> 00:16:52,400 Speaker 1: Channel Chief White House correspondent Peter Doocey is with us. 300 00:16:52,440 --> 00:16:54,880 Speaker 1: How are you, sir? I'm fine, Sean? How are you? 301 00:16:55,280 --> 00:16:58,680 Speaker 1: Never a dull moment? Here we go again. You know, 302 00:16:59,080 --> 00:17:02,240 Speaker 1: I look at this very differently. I'm like, all they're 303 00:17:02,280 --> 00:17:05,480 Speaker 1: doing is guaranteeing you the biggest best contract you've ever 304 00:17:05,520 --> 00:17:09,840 Speaker 1: had in your life. And it's funny because I watch 305 00:17:10,000 --> 00:17:12,240 Speaker 1: very closely. I watched the work you do. Number one, 306 00:17:12,640 --> 00:17:16,159 Speaker 1: I know for a fact that you follow the news, 307 00:17:16,240 --> 00:17:19,440 Speaker 1: your news junkie, like the rest of us. And every 308 00:17:19,520 --> 00:17:22,359 Speaker 1: question you ask, nobody's giving you questions to ask. You 309 00:17:22,400 --> 00:17:25,600 Speaker 1: ask your own questions, right, that's right. I've been working 310 00:17:25,640 --> 00:17:30,240 Speaker 1: on my questions since like ten thirty this morning, and 311 00:17:30,440 --> 00:17:32,600 Speaker 1: you know, I'm just clicking around. I'm trying to see 312 00:17:32,640 --> 00:17:37,680 Speaker 1: what I think is interesting. And that's kind of just it. 313 00:17:37,680 --> 00:17:41,440 Speaker 1: It's not as complicated as what was described there. Yeah, 314 00:17:41,480 --> 00:17:44,200 Speaker 1: and it's then this whole idea, Oh it's not personal, 315 00:17:44,359 --> 00:17:46,359 Speaker 1: and it's so on and so forth. I'm not going 316 00:17:46,400 --> 00:17:48,800 Speaker 1: to ask you to go into the personality of it. 317 00:17:49,160 --> 00:17:51,960 Speaker 1: When Joe Biden said it the first time and he 318 00:17:52,080 --> 00:17:55,560 Speaker 1: was responding to you talking about inflation and whether it's 319 00:17:55,560 --> 00:17:58,199 Speaker 1: going to impact the mid term elections, which happened to 320 00:17:58,200 --> 00:18:01,719 Speaker 1: be a very good question. Um, he called you my 321 00:18:01,800 --> 00:18:04,440 Speaker 1: understanding I think you told me on the TV show. 322 00:18:04,920 --> 00:18:08,080 Speaker 1: And what did he say when he called He said, 323 00:18:08,119 --> 00:18:12,119 Speaker 1: it's nothing personal, pal, and nothing personal pal. Calling you 324 00:18:12,119 --> 00:18:14,320 Speaker 1: a son of a bitch is not sounds pretty personal 325 00:18:14,359 --> 00:18:18,600 Speaker 1: to make. Well, I you know, I told him that 326 00:18:18,680 --> 00:18:22,000 Speaker 1: I was gonna keep asking him kind of the questions 327 00:18:22,040 --> 00:18:24,359 Speaker 1: that others were not going to ask, and to his credit, 328 00:18:24,480 --> 00:18:26,960 Speaker 1: he said that day, this was the end of January. 329 00:18:27,080 --> 00:18:31,560 Speaker 1: He said, you've got to And to his credit, additionally, 330 00:18:32,240 --> 00:18:34,080 Speaker 1: he has called on us a bunch of times when 331 00:18:34,080 --> 00:18:36,200 Speaker 1: we made a lot of news, including like a week 332 00:18:36,240 --> 00:18:37,560 Speaker 1: and a half ago when we got back from that 333 00:18:37,640 --> 00:18:40,120 Speaker 1: foreign trip and I got to read back a bunch 334 00:18:40,160 --> 00:18:44,800 Speaker 1: of quotes that he had made that confused people from overseas, 335 00:18:45,880 --> 00:18:48,800 Speaker 1: and he, you know, his explanation was, oh, well, I 336 00:18:48,800 --> 00:18:51,760 Speaker 1: didn't say any of that, but that was the question 337 00:18:51,800 --> 00:18:54,560 Speaker 1: that I was interested in that day, and so I 338 00:18:54,600 --> 00:18:57,399 Speaker 1: had pulled the quotes. And so that's the way that 339 00:18:57,440 --> 00:19:00,960 Speaker 1: it works for any concerned parties. Well, I actually think 340 00:19:01,000 --> 00:19:03,119 Speaker 1: that you like, for example, if you think back to 341 00:19:03,200 --> 00:19:05,600 Speaker 1: the Trump years, I mean, the hostility in that room 342 00:19:05,600 --> 00:19:08,760 Speaker 1: it was, it was almost every single reporter, and I 343 00:19:08,840 --> 00:19:11,880 Speaker 1: don't I don't sense any hostility on your part at all. 344 00:19:11,920 --> 00:19:17,000 Speaker 1: You're asking the right questions, hard questions, tough questions about 345 00:19:17,080 --> 00:19:20,159 Speaker 1: inconsistency in terms of their policy or the things that 346 00:19:20,200 --> 00:19:21,879 Speaker 1: they've said, or what they're going to do and how 347 00:19:21,920 --> 00:19:24,920 Speaker 1: they're going to handle things. And I actually think you've 348 00:19:24,920 --> 00:19:27,600 Speaker 1: done a phenomenal job. What is your reaction to what 349 00:19:27,720 --> 00:19:32,120 Speaker 1: Jensaki said? She and I talked about it privately or 350 00:19:32,119 --> 00:19:36,080 Speaker 1: you know, offline on Friday, and for as long as 351 00:19:36,119 --> 00:19:41,280 Speaker 1: she remains at the mic um then it's all good. 352 00:19:41,560 --> 00:19:44,000 Speaker 1: You know, there's a lot of things that she has 353 00:19:44,080 --> 00:19:48,879 Speaker 1: said since she's been Press secretary, you know, from inflation 354 00:19:49,000 --> 00:19:52,960 Speaker 1: will be temporary and transitory, or that we don't really 355 00:19:53,000 --> 00:19:55,560 Speaker 1: need to give COVID test to illegal immigrants because they 356 00:19:55,560 --> 00:19:58,239 Speaker 1: are not going to be here very long. I mean, 357 00:19:58,280 --> 00:20:01,120 Speaker 1: these are all questions that you would ask. Or the 358 00:20:01,200 --> 00:20:04,600 Speaker 1: claim which was false that the three point five trillion 359 00:20:04,640 --> 00:20:08,800 Speaker 1: in spending would cost zero dollars. When the CBO got 360 00:20:08,800 --> 00:20:13,120 Speaker 1: done scoring that bill without sunset provisions, it came out 361 00:20:13,160 --> 00:20:17,160 Speaker 1: to be false. On steroids and I could keep going, 362 00:20:17,200 --> 00:20:19,800 Speaker 1: and by the way, I probably will at length tonight 363 00:20:20,000 --> 00:20:22,560 Speaker 1: lay this out for everybody. She said a lot of 364 00:20:22,640 --> 00:20:27,440 Speaker 1: things that just aren't true. Now, when when you call 365 00:20:27,560 --> 00:20:30,440 Speaker 1: her out on these things, I mean, and you know 366 00:20:30,480 --> 00:20:33,879 Speaker 1: that what she's saying is false, what what's the next step? 367 00:20:35,320 --> 00:20:38,639 Speaker 1: Just to go play the tape because we've got quotes 368 00:20:38,800 --> 00:20:41,040 Speaker 1: and we can play you know, quotes and things that 369 00:20:41,320 --> 00:20:44,280 Speaker 1: we know happened, and if the White House wants to 370 00:20:44,320 --> 00:20:46,479 Speaker 1: give an answer that doesn't seem consistent with that, we 371 00:20:46,480 --> 00:20:49,000 Speaker 1: can play, you know, a quote from somebody and then 372 00:20:49,040 --> 00:20:52,280 Speaker 1: a quote from the Press secretary, and you know, people 373 00:20:52,320 --> 00:20:54,840 Speaker 1: can make up their own line. Sometimes it's sometimes it's 374 00:20:54,840 --> 00:20:58,000 Speaker 1: pretty straightforward. You know. Early in my career, and I've 375 00:20:58,040 --> 00:21:00,320 Speaker 1: been at this with your dada. You know, we're we're 376 00:21:00,600 --> 00:21:04,320 Speaker 1: Fox originals. And early in my career this might have 377 00:21:04,359 --> 00:21:06,320 Speaker 1: bothered me. Does any of this bother you at all? 378 00:21:06,320 --> 00:21:08,840 Speaker 1: Because it doesn't bother me at all. Now it does 379 00:21:08,880 --> 00:21:10,919 Speaker 1: not bother me at all. And I'm in this, you know, 380 00:21:11,000 --> 00:21:14,679 Speaker 1: an interesting position where it seems like it's always something. 381 00:21:15,080 --> 00:21:21,920 Speaker 1: But yeah, look, I'll give a longer explanation tonight. Let's 382 00:21:21,920 --> 00:21:25,800 Speaker 1: just have a message for Jensaki tonight, special message for Jen. 383 00:21:26,000 --> 00:21:29,440 Speaker 1: We'll call it that. Um. Look, you've done a phenomenal job. 384 00:21:30,200 --> 00:21:33,280 Speaker 1: We're very proud of the work that you've done. I'm 385 00:21:33,320 --> 00:21:37,760 Speaker 1: sorry that they've made this so personal against you. You've 386 00:21:37,760 --> 00:21:41,040 Speaker 1: been nothing but respectful to the President and to Jen Saki. 387 00:21:41,480 --> 00:21:44,800 Speaker 1: You deserve better than this. They're not living up to 388 00:21:44,840 --> 00:21:47,080 Speaker 1: their standards. You know, I just played the tape of 389 00:21:47,160 --> 00:21:51,920 Speaker 1: Joe Biden that if you treat people this way, you're 390 00:21:51,920 --> 00:21:54,439 Speaker 1: going to be fired on the spot. No if sans 391 00:21:54,520 --> 00:21:58,520 Speaker 1: or butts. Apparently that doesn't hold for him or Jensaki, 392 00:21:58,800 --> 00:22:01,880 Speaker 1: whom I guess she's leaving pretty soon anyway. And I 393 00:22:01,920 --> 00:22:04,080 Speaker 1: just think you deserve better than that because you've been 394 00:22:04,119 --> 00:22:08,280 Speaker 1: more than respectful in the in doing your job, which 395 00:22:08,320 --> 00:22:12,359 Speaker 1: is to hold an administration accountable. Well, I don't think 396 00:22:12,400 --> 00:22:15,320 Speaker 1: you've been I don't think it would be do I 397 00:22:15,320 --> 00:22:17,240 Speaker 1: don't think it does me any good to get in 398 00:22:18,280 --> 00:22:21,119 Speaker 1: to do it any differently, and so that's just going 399 00:22:21,200 --> 00:22:24,760 Speaker 1: to keep being my approach. Well, I think she had 400 00:22:24,840 --> 00:22:27,160 Speaker 1: the opportunity and probably one of the best shows ever. 401 00:22:27,640 --> 00:22:30,520 Speaker 1: The only reason I'll even watch the press conference is 402 00:22:30,560 --> 00:22:32,600 Speaker 1: because you're the only person I don't want to watch 403 00:22:32,680 --> 00:22:35,919 Speaker 1: ask a question, because it usually is nobody else in 404 00:22:35,920 --> 00:22:38,400 Speaker 1: that room. Occasionally is it one or two people. Lately 405 00:22:38,520 --> 00:22:40,639 Speaker 1: there seems to have been a couple of more people 406 00:22:40,640 --> 00:22:43,800 Speaker 1: that are beginning to realize we need to start asking 407 00:22:43,840 --> 00:22:46,800 Speaker 1: tougher questions. But for the most part, you ask the 408 00:22:46,840 --> 00:22:50,280 Speaker 1: best questions every day, and the answers and the dance 409 00:22:50,560 --> 00:22:53,560 Speaker 1: and watching them try to spin their way out of 410 00:22:53,600 --> 00:22:56,959 Speaker 1: it when you literally are nailing them on their quotes 411 00:22:57,000 --> 00:22:59,399 Speaker 1: and on the evidence and on you know, the news 412 00:22:59,400 --> 00:23:02,480 Speaker 1: of the day. I mean, it's like a it's it's 413 00:23:02,520 --> 00:23:04,800 Speaker 1: the work of heart every day. And I really appreciate 414 00:23:04,800 --> 00:23:07,880 Speaker 1: all you're doing well. I appreciate you saying that. And 415 00:23:08,000 --> 00:23:10,879 Speaker 1: today is going to be the first press briefing since 416 00:23:11,400 --> 00:23:14,639 Speaker 1: all this stuff over the weekend. And I have some 417 00:23:14,720 --> 00:23:17,359 Speaker 1: really good questions. Just oh, I bet you do it 418 00:23:17,400 --> 00:23:20,280 Speaker 1: away now. But could you imagine if I called somebody 419 00:23:20,280 --> 00:23:22,320 Speaker 1: in the in the Biden White House the son of 420 00:23:22,359 --> 00:23:25,000 Speaker 1: a bitch pound pick pick whoever you pursid this. What 421 00:23:25,080 --> 00:23:32,000 Speaker 1: do you think the reaction would be different? I think 422 00:23:32,080 --> 00:23:34,720 Speaker 1: it would be different too. Doesn't mean that I don't 423 00:23:34,760 --> 00:23:37,919 Speaker 1: think it. I just don't say it anyway, Peter Doocey, 424 00:23:38,000 --> 00:23:41,040 Speaker 1: God blush you. And we'll be watching tonight and we'll 425 00:23:41,119 --> 00:23:43,480 Speaker 1: have you may want to watch the show tonight. That's 426 00:23:43,480 --> 00:23:46,159 Speaker 1: all I can say. I'll be watching eight hundred nine, 427 00:23:46,600 --> 00:23:48,360 Speaker 1: Sean if you want to be a part of the program. 428 00:23:48,640 --> 00:23:51,800 Speaker 1: Del Mar in Alabama? What's going on? Delmar? How are 429 00:23:51,800 --> 00:23:54,560 Speaker 1: you pretty good? Sir? How are you doing today? I'm good? 430 00:23:54,600 --> 00:23:58,400 Speaker 1: It says on my screen you're disabled. That first, thank 431 00:23:58,440 --> 00:24:00,880 Speaker 1: you for your service to your country, and I hope 432 00:24:00,960 --> 00:24:04,080 Speaker 1: you're not that severely disabled. Well what are your injuries? 433 00:24:05,280 --> 00:24:07,800 Speaker 1: I had? I got hit on my dr driver on 434 00:24:07,920 --> 00:24:10,560 Speaker 1: the way to jump into Panamall at the eighty second. 435 00:24:10,960 --> 00:24:14,320 Speaker 1: Oh man, Well, thank you for serving your country. We 436 00:24:14,440 --> 00:24:16,680 Speaker 1: can't thank you enough. What's on your mind today? Oh? 437 00:24:16,840 --> 00:24:18,840 Speaker 1: I was just I just wanted to make my point 438 00:24:18,920 --> 00:24:24,480 Speaker 1: about how these legal aliens are getting all these free 439 00:24:24,520 --> 00:24:28,640 Speaker 1: medical benefits and food stamps and all that will not 440 00:24:28,720 --> 00:24:32,560 Speaker 1: only veterans families, but other people's families can't even afford, 441 00:24:32,960 --> 00:24:36,359 Speaker 1: you know, medical assistance. And you know, I got to 442 00:24:36,400 --> 00:24:39,040 Speaker 1: sit there and watch my wife with infected teeth, and I, 443 00:24:39,760 --> 00:24:42,000 Speaker 1: you know, I try to get cash jobs here and there, 444 00:24:42,000 --> 00:24:44,840 Speaker 1: you know, a little extra work aside from my my 445 00:24:45,000 --> 00:24:47,480 Speaker 1: benefits they've come in, which is hard because I'm in 446 00:24:47,480 --> 00:24:49,040 Speaker 1: a lot of pain all the time. But I do 447 00:24:49,040 --> 00:24:50,840 Speaker 1: w I gotta do to, you know, to try to 448 00:24:50,840 --> 00:24:53,359 Speaker 1: get money to get my wife's teeth fixed and stuff. 449 00:24:53,400 --> 00:24:55,960 Speaker 1: And then let me ask you a question. I thought 450 00:24:55,960 --> 00:24:58,480 Speaker 1: you got a free phone like illegal immigrants are getting. 451 00:24:59,040 --> 00:25:02,120 Speaker 1: Is that correct? Yeah, that is correct. Yeah, I don't 452 00:25:02,119 --> 00:25:05,119 Speaker 1: think you give free transportation to the state of your choice, 453 00:25:05,160 --> 00:25:08,680 Speaker 1: like illegal immigrants are getting, right, that's correct. A lot 454 00:25:08,720 --> 00:25:10,879 Speaker 1: of vets have been thrown out of the military because 455 00:25:10,880 --> 00:25:13,639 Speaker 1: of the vaccine mandate, but they're not even COVID testing 456 00:25:13,640 --> 00:25:17,280 Speaker 1: and there's no vaccine mandate. There's preferential treatment for illegal immigrants. 457 00:25:17,560 --> 00:25:22,520 Speaker 1: And now they're talking about taking VA doctors out of 458 00:25:22,520 --> 00:25:25,840 Speaker 1: the hospitals to serve people like you to go down 459 00:25:25,840 --> 00:25:28,800 Speaker 1: to the border because of the next migrant wave that 460 00:25:28,920 --> 00:25:32,080 Speaker 1: is happening as we speak. Yeah, the whole that whole system, 461 00:25:32,320 --> 00:25:35,240 Speaker 1: of that whole system, part of that is just it's 462 00:25:35,320 --> 00:25:38,800 Speaker 1: just absolutely sickening. It's like at a veteran, I feel 463 00:25:38,840 --> 00:25:42,360 Speaker 1: spin on every time I see, you know, somebody even 464 00:25:43,400 --> 00:25:46,960 Speaker 1: you know, the refugees and or refugees coming into this 465 00:25:47,000 --> 00:25:49,520 Speaker 1: country to seek a better life. But they should be 466 00:25:50,000 --> 00:25:52,240 Speaker 1: they should have to, you know, work and make their 467 00:25:52,280 --> 00:25:56,200 Speaker 1: life better here. I thought they'd first followed the process, 468 00:25:56,280 --> 00:25:59,159 Speaker 1: obey all laws, respect our borders and our sovereignty, and 469 00:25:59,240 --> 00:26:02,359 Speaker 1: do it the legal one right, correct, you know, if 470 00:26:02,160 --> 00:26:05,520 Speaker 1: if if you know, if they if a refugee gets 471 00:26:05,720 --> 00:26:07,560 Speaker 1: you know, to the United States and a legal manner, 472 00:26:07,600 --> 00:26:09,200 Speaker 1: they can they can make as much money to say 473 00:26:09,200 --> 00:26:11,480 Speaker 1: well and still draw their full benefits, you know, food 474 00:26:11,520 --> 00:26:14,479 Speaker 1: stamps in all that. I don't think that's right. I 475 00:26:14,520 --> 00:26:16,040 Speaker 1: mean they should be able to, you know, make a 476 00:26:16,080 --> 00:26:17,919 Speaker 1: better life here and work like the rest of us, 477 00:26:18,040 --> 00:26:22,919 Speaker 1: be a productive part of society. It's simple for me. 478 00:26:23,040 --> 00:26:26,159 Speaker 1: You come in legally, that wouldn't That would require a 479 00:26:26,200 --> 00:26:30,560 Speaker 1: security background check, it would require a health check, and 480 00:26:30,720 --> 00:26:33,439 Speaker 1: it would require that you be able to show that 481 00:26:33,440 --> 00:26:35,000 Speaker 1: you're going to be able to take care of yourself 482 00:26:35,040 --> 00:26:37,240 Speaker 1: and not be a burden on the American people financially 483 00:26:37,280 --> 00:26:39,480 Speaker 1: while you're here. And then I don't care where you 484 00:26:39,560 --> 00:26:42,200 Speaker 1: come from, welcome to the country, right right. They gotta 485 00:26:42,240 --> 00:26:45,040 Speaker 1: be vetted, you know, they got to be expected to, 486 00:26:45,119 --> 00:26:48,280 Speaker 1: you know, be a productive part of the society. We're 487 00:26:48,280 --> 00:26:50,160 Speaker 1: not doing that. I don't think if the other country 488 00:26:50,240 --> 00:26:54,680 Speaker 1: does that kind of stuff, Nope, just the opposite. Yeah, well, Mark, 489 00:26:54,800 --> 00:26:56,400 Speaker 1: I wish you the best of my friend. I'm so 490 00:26:56,400 --> 00:26:59,360 Speaker 1: sorry about your situation. Please get well, and I hope 491 00:26:59,400 --> 00:27:01,360 Speaker 1: your wife can I think care of that. She deserves 492 00:27:01,400 --> 00:27:05,320 Speaker 1: as well too. So it's heartbreaking to hear that Bill 493 00:27:05,480 --> 00:27:09,440 Speaker 1: is in Montana. Bill on the Sean Hannity Show, Sean Uh, yeah, 494 00:27:09,520 --> 00:27:11,840 Speaker 1: last time I talked to you is about my wife 495 00:27:11,840 --> 00:27:14,280 Speaker 1: coming here in back in nineteen seventy six, doing it 496 00:27:14,320 --> 00:27:16,760 Speaker 1: all legally the right way. But that's not what I 497 00:27:16,800 --> 00:27:19,840 Speaker 1: called you for the reason I called I'm getting really 498 00:27:19,880 --> 00:27:22,840 Speaker 1: tired of these Green New Deal people in the administration 499 00:27:23,359 --> 00:27:26,240 Speaker 1: saying that fossil fuels are dirty and they're bad and 500 00:27:26,280 --> 00:27:28,240 Speaker 1: we got to get off of them and all this stuff. 501 00:27:28,640 --> 00:27:31,800 Speaker 1: I worked for twenty years down in Current County, California 502 00:27:32,000 --> 00:27:36,800 Speaker 1: and cogeneration plants, natural gas fired turbans that run a 503 00:27:36,880 --> 00:27:40,760 Speaker 1: generator and produce steam. The steam goes down hole. This 504 00:27:40,880 --> 00:27:44,800 Speaker 1: is Samoaquin Valley. Yeah, down in down at the bottom 505 00:27:44,880 --> 00:27:48,280 Speaker 1: end of the Samulquine Valley and the steam goes down 506 00:27:48,359 --> 00:27:52,199 Speaker 1: hole for enhanced oil recovery. But we we work. You know, 507 00:27:52,640 --> 00:27:57,200 Speaker 1: California has got strict emissions control, and we worked hard 508 00:27:57,240 --> 00:28:00,359 Speaker 1: to get that exhaust gas coming out of that to 509 00:28:00,440 --> 00:28:07,760 Speaker 1: be clean. We did of these really fancy precious metal 510 00:28:07,800 --> 00:28:11,320 Speaker 1: catalysts that had palladium and roodium in them, same things 511 00:28:11,359 --> 00:28:14,239 Speaker 1: that you have in your automobile catalysts. We injected an 512 00:28:14,359 --> 00:28:17,200 Speaker 1: address ammonia and by the time that exhaust came out, 513 00:28:17,240 --> 00:28:19,800 Speaker 1: that stack. It was clean. In fact, it was so 514 00:28:19,840 --> 00:28:23,160 Speaker 1: clean that we had a plant down in Corona's down 515 00:28:23,160 --> 00:28:27,080 Speaker 1: in the La Basin area that got an award from 516 00:28:27,119 --> 00:28:30,920 Speaker 1: the Air Pollution Control District for actually cleaning the air 517 00:28:31,160 --> 00:28:34,320 Speaker 1: down there. So fossil fuels are not dirty and we 518 00:28:34,400 --> 00:28:36,800 Speaker 1: need them, and they're not ready for the Green New 519 00:28:36,840 --> 00:28:39,680 Speaker 1: Deal yet. And by the way, next time I see 520 00:28:39,800 --> 00:28:42,760 Speaker 1: Air Force one totally electric, I'll go out and buy 521 00:28:42,800 --> 00:28:45,120 Speaker 1: an electric car. Otherwise, I'm going to stick with my 522 00:28:45,160 --> 00:28:48,120 Speaker 1: gmc denali pick up. I like Denalie. That's a good 523 00:28:48,160 --> 00:28:51,560 Speaker 1: truck man. That's awesome, that's a good suv. Anyway, I 524 00:28:51,560 --> 00:28:53,920 Speaker 1: appreciate it, Thanks Bill, and thanks for what you do. 525 00:28:54,400 --> 00:28:56,800 Speaker 1: And he's right, nobody does it better than we do. 526 00:28:57,000 --> 00:29:00,200 Speaker 1: Nobody's reduced carbon emissions like we have. And it's in 527 00:29:00,240 --> 00:29:03,720 Speaker 1: the process of becoming energy independent. Yeah. During the Trump years, 528 00:29:03,920 --> 00:29:06,880 Speaker 1: it's the final days for the Christmas holiday season and 529 00:29:06,960 --> 00:29:11,560 Speaker 1: their sale at genu Cell is still available for everybody. Ladies, gentlemen, 530 00:29:11,600 --> 00:29:15,160 Speaker 1: don't take my word for it. Linda loves this. I 531 00:29:15,240 --> 00:29:17,440 Speaker 1: do love it. And you know what, the hyaluronic acid. 532 00:29:17,520 --> 00:29:19,760 Speaker 1: I cannot say enough about this. 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News you'll never 549 00:30:09,680 --> 00:30:13,520 Speaker 1: get from the medium, mob Ari Fleischer, Joe Concha, Clay 550 00:30:13,560 --> 00:30:17,960 Speaker 1: Travis Leo, two point Terrell, Governor Abbott now sending four 551 00:30:18,000 --> 00:30:21,880 Speaker 1: buses to our nation's capital with the illegal immigrants in it, 552 00:30:22,080 --> 00:30:27,479 Speaker 1: and Senator Steve Danes back from Ukraine having eyewitnessed a 553 00:30:27,520 --> 00:30:30,760 Speaker 1: lot of the hord on the ground there, Adam Carolla 554 00:30:30,840 --> 00:30:34,400 Speaker 1: and much more, all coming up nine Eastern City DVR, Hannity, 555 00:30:34,440 --> 00:30:36,840 Speaker 1: Fox News. We'll see it tonight back here tomorrow. Thank 556 00:30:36,880 --> 00:30:40,800 Speaker 1: you for being with us. You make this show possible. Hey, 557 00:30:40,840 --> 00:30:42,720 Speaker 1: there's still a lot more ahead on the best of 558 00:30:42,800 --> 00:30:46,000 Speaker 1: the Sean Hannity Show. Stay tuned for more right afternoons 559 00:30:46,120 --> 00:30:52,840 Speaker 1: on this station. All right, are you tired of overpaying 560 00:30:52,920 --> 00:30:56,280 Speaker 1: woke wireless companies? How about this? You get talk and 561 00:30:56,480 --> 00:31:00,120 Speaker 1: text and blazing fast data for just thirty bucks a 562 00:31:00,240 --> 00:31:03,920 Speaker 1: month YEP, on the same exact network, the same cell towers, 563 00:31:03,920 --> 00:31:06,960 Speaker 1: the same five G network as the big carriers like 564 00:31:07,080 --> 00:31:10,200 Speaker 1: Verizon AT and T and T Mobile. And how's that 565 00:31:10,320 --> 00:31:14,680 Speaker 1: for saying half the price. Merry Christmas, Happy Hanka, Happy 566 00:31:14,680 --> 00:31:17,840 Speaker 1: New Year, Hallelujah. 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