1 00:00:00,120 --> 00:00:02,720 Speaker 1: My friends at my Pillow. My buddy Michaelendell told me 2 00:00:02,759 --> 00:00:04,880 Speaker 1: he was coming out with a brand new product. It's 3 00:00:04,920 --> 00:00:08,280 Speaker 1: called the New Mattress Topper. So I got the new 4 00:00:08,320 --> 00:00:10,959 Speaker 1: Mattress Topper immediately and I've been sleeping on it now 5 00:00:11,000 --> 00:00:13,239 Speaker 1: for a couple of months. It's the best thing you've 6 00:00:13,280 --> 00:00:16,320 Speaker 1: ever felt in your life. Now you literally have my 7 00:00:16,400 --> 00:00:19,319 Speaker 1: pillow foam for support. It's a transitional foam that helps 8 00:00:19,320 --> 00:00:23,880 Speaker 1: relieve pressure points. And it's Ultrasoft patented temperature regulating cover. 9 00:00:24,000 --> 00:00:25,799 Speaker 1: And I gotta tell you how's a ten year warranty, 10 00:00:26,040 --> 00:00:29,560 Speaker 1: a cover that's washable and driable. 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Hey, welcome to the Sean Hannity Show. 21 00:01:03,200 --> 00:01:06,039 Speaker 1: My name is Rose and it is my honor to 22 00:01:06,280 --> 00:01:08,120 Speaker 1: sit in for him today. We have a great show 23 00:01:08,120 --> 00:01:11,880 Speaker 1: coming up. Greg Jared is joining me, Laura Trump, and 24 00:01:12,040 --> 00:01:15,039 Speaker 1: Katie Hopkins. So you want to stay right where you are. 25 00:01:15,800 --> 00:01:18,000 Speaker 1: I want to say thanks to Greg here in our 26 00:01:18,000 --> 00:01:21,280 Speaker 1: studios in Pittsburgh. Greg, thanks so much for helping. And 27 00:01:21,400 --> 00:01:24,320 Speaker 1: Linda and Ethan in New York. And I gotta say this, 28 00:01:24,959 --> 00:01:28,520 Speaker 1: not too long ago I had the opportunity. Now, I 29 00:01:28,560 --> 00:01:30,640 Speaker 1: knew she could sing, and I've heard you know, bits 30 00:01:30,640 --> 00:01:34,440 Speaker 1: and pieces over the years. But I saw Linda on 31 00:01:34,880 --> 00:01:40,840 Speaker 1: stage not too long ago. She was amazing. Linda, girl. 32 00:01:41,240 --> 00:01:43,080 Speaker 1: First of all, I was standing next to a twenty 33 00:01:43,160 --> 00:01:45,920 Speaker 1: some year old who thought you were also twenty some. 34 00:01:46,240 --> 00:01:47,920 Speaker 1: I paid him a lot of money and he did 35 00:01:47,960 --> 00:01:52,920 Speaker 1: his job. But girl, you have an amazing voice, but 36 00:01:53,000 --> 00:01:56,560 Speaker 1: you also have that stage presence that that doesn't ordinarily 37 00:01:56,560 --> 00:01:58,840 Speaker 1: come together. You know, somebody can sing really well, but 38 00:01:58,920 --> 00:02:00,720 Speaker 1: they you know on stage you're kind of a dud. 39 00:02:00,920 --> 00:02:03,200 Speaker 1: Oh my god, you were hot. I think you were hot. 40 00:02:03,280 --> 00:02:06,200 Speaker 1: I appreciate it. You were so so good. It was 41 00:02:06,240 --> 00:02:07,720 Speaker 1: a good time. It was a lot of fun. Yeah, 42 00:02:07,720 --> 00:02:10,240 Speaker 1: it's always nice to see you guys, and fortunately I've 43 00:02:10,240 --> 00:02:11,359 Speaker 1: been able to see a couple of times in the 44 00:02:11,440 --> 00:02:13,120 Speaker 1: last couple of months, so that was nice. Some of 45 00:02:13,160 --> 00:02:16,000 Speaker 1: the nicest people work for Sean Hannity, worked with Linda, 46 00:02:16,080 --> 00:02:18,920 Speaker 1: and I appreciate all of you. I really do. Gosh, 47 00:02:18,960 --> 00:02:21,160 Speaker 1: you know what, since we're headed towards the end of 48 00:02:21,200 --> 00:02:23,440 Speaker 1: the year, some of you may say, thank God, because 49 00:02:23,480 --> 00:02:26,120 Speaker 1: it's been a crazy year. I know for me, and 50 00:02:26,600 --> 00:02:29,000 Speaker 1: it certainly has been for the president. We've got a 51 00:02:29,080 --> 00:02:31,600 Speaker 1: media that just doesn't let up on him. The left 52 00:02:31,600 --> 00:02:34,040 Speaker 1: doesn't let up on him, won't admit that he's been 53 00:02:34,120 --> 00:02:36,880 Speaker 1: very competent, and they throw everything they can at him. 54 00:02:37,080 --> 00:02:39,080 Speaker 1: I'm just going to give you a little portion of 55 00:02:39,120 --> 00:02:41,040 Speaker 1: some of the things that have been said about him, 56 00:02:41,200 --> 00:02:45,799 Speaker 1: the predictions made about him, starting back in January twenty eighteen. 57 00:02:45,960 --> 00:02:48,040 Speaker 1: We begin tonight with the bombshell Donald Trump is in 58 00:02:48,040 --> 00:02:49,919 Speaker 1: a lot of trouble. Trump is in trouble. The president 59 00:02:50,000 --> 00:02:53,320 Speaker 1: will resign another hour. Another bombshell, This is a tipping point. 60 00:02:53,440 --> 00:02:57,160 Speaker 1: Trump's going down. This president could be impeached. I do 61 00:02:57,240 --> 00:03:00,840 Speaker 1: not think the president will serve out his term. Resignation, resignation. 62 00:03:00,880 --> 00:03:02,600 Speaker 1: I don't think this president is going to serve out 63 00:03:02,639 --> 00:03:05,160 Speaker 1: his term. Mister Trump will not serve out his term. 64 00:03:05,240 --> 00:03:07,520 Speaker 1: He will not serve out his term, No way, no 65 00:03:07,720 --> 00:03:10,959 Speaker 1: how breaking news, absolute Bonbsilver. I think Donald Trump is 66 00:03:11,000 --> 00:03:13,320 Speaker 1: in trouble. Donald Trump is that and he's done, and 67 00:03:13,919 --> 00:03:17,200 Speaker 1: it's over. It's over. The walls closing in. The wall 68 00:03:17,400 --> 00:03:20,040 Speaker 1: is closing in. No matter what the Left is throwing 69 00:03:20,080 --> 00:03:22,840 Speaker 1: at him, it hasn't prevented him from doing what he 70 00:03:22,919 --> 00:03:26,519 Speaker 1: promised us that he was going to do while in office. So, 71 00:03:26,600 --> 00:03:32,040 Speaker 1: despite the criticisms, despite the accusations, the corruption, he did 72 00:03:32,360 --> 00:03:36,560 Speaker 1: and continues to do his job now. The Washington Examiner 73 00:03:36,680 --> 00:03:40,000 Speaker 1: said this about his first two years. They said, the 74 00:03:40,040 --> 00:03:44,240 Speaker 1: Trump's administration achievements have been overlooked, and they have They 75 00:03:44,240 --> 00:03:48,760 Speaker 1: are so darned busy criticizing him and predicting his doom 76 00:03:48,800 --> 00:03:52,360 Speaker 1: and gloom that they haven't even focused or highlighted any 77 00:03:52,360 --> 00:03:55,480 Speaker 1: of the achievements that he's made. Really, they've been overlooked. 78 00:03:55,520 --> 00:03:58,560 Speaker 1: And the Washington Examiners said that despite the fact that 79 00:03:58,600 --> 00:04:03,640 Speaker 1: the list of achievements his achievements have surpassed President Reagan 80 00:04:04,040 --> 00:04:07,560 Speaker 1: during the very same timeline of Reagan's administration. Do you 81 00:04:07,560 --> 00:04:11,600 Speaker 1: ever hear about that? I didn't think so, and has 82 00:04:11,640 --> 00:04:14,840 Speaker 1: more than doubled those achievements have more than doubled Since 83 00:04:14,840 --> 00:04:18,159 Speaker 1: the last tally of accomplishments after his first year in office, 84 00:04:18,520 --> 00:04:22,240 Speaker 1: the administration has counted two hundred and eighty nine accomplishments 85 00:04:22,480 --> 00:04:26,240 Speaker 1: in eighteen different categories. They had one hundred and seventy three. 86 00:04:26,360 --> 00:04:30,200 Speaker 1: They say major wins like adding more than four million jobs, 87 00:04:30,240 --> 00:04:33,640 Speaker 1: that's pretty big, and one hundred and sixteen Smaller victories 88 00:04:34,000 --> 00:04:36,839 Speaker 1: like the eighty three percent one year increase in arrest 89 00:04:36,880 --> 00:04:40,760 Speaker 1: of the MS thirteen gang members all victories. So what 90 00:04:40,839 --> 00:04:42,479 Speaker 1: I did is I put together as much as I 91 00:04:42,480 --> 00:04:44,880 Speaker 1: could without going on too long, because God knows I 92 00:04:44,920 --> 00:04:48,440 Speaker 1: could a partial list of what Trump has given us 93 00:04:48,920 --> 00:04:53,039 Speaker 1: In terms of the economy. It's stronger, stronger today, and 94 00:04:53,120 --> 00:04:56,640 Speaker 1: the American workers are better off today thanks to Trump's 95 00:04:56,680 --> 00:04:59,919 Speaker 1: pro growth agenda. So over the summer, there were indicators 96 00:05:00,240 --> 00:05:03,200 Speaker 1: that showed that the Trump economy was healthy and that 97 00:05:03,240 --> 00:05:06,520 Speaker 1: it was breaking new records unemployment claims who were to 98 00:05:06,600 --> 00:05:11,000 Speaker 1: fifty year low. African American unemployment at a historic low 99 00:05:11,480 --> 00:05:16,280 Speaker 1: five point nine percent back in May Hispanic unemployment at 100 00:05:16,320 --> 00:05:19,960 Speaker 1: four point five percent, Asian American unemployment at a record low. 101 00:05:20,400 --> 00:05:24,320 Speaker 1: Female unemployment dropped to three point six percent in May 102 00:05:24,360 --> 00:05:28,880 Speaker 1: twenty eighteen. That number is the lowest it's been since 103 00:05:28,920 --> 00:05:35,159 Speaker 1: October nineteen fifty three, before many of us were born, 104 00:05:35,960 --> 00:05:39,920 Speaker 1: not since nineteen fifty three. Ladies and youth unemployment at 105 00:05:39,920 --> 00:05:42,000 Speaker 1: a rate of nine point two percent in July, the 106 00:05:42,040 --> 00:05:46,360 Speaker 1: lowest since July nineteen sixty six. Veterans unemployment is the 107 00:05:46,400 --> 00:05:49,200 Speaker 1: lowest in two decades. So all of that is very 108 00:05:49,240 --> 00:05:51,880 Speaker 1: good if you ask any one of those groups. Sixty 109 00:05:51,960 --> 00:05:54,719 Speaker 1: seven percent of Americans believe that now is a good 110 00:05:54,760 --> 00:05:58,440 Speaker 1: time to find a quality job. That's according to a 111 00:05:58,440 --> 00:06:00,520 Speaker 1: gallup that was a poll that was done not long ago. 112 00:06:01,080 --> 00:06:03,719 Speaker 1: More than three point five million jobs have been created. 113 00:06:03,960 --> 00:06:08,479 Speaker 1: Over three hundred thousand manufacturing jobs created. That is the 114 00:06:08,560 --> 00:06:12,560 Speaker 1: highest level since December of two thousand and eight. Over 115 00:06:12,680 --> 00:06:16,520 Speaker 1: three hundred thousand construction jobs have been created, and that's 116 00:06:16,640 --> 00:06:19,840 Speaker 1: its highest level since June of two thousand and eight. 117 00:06:20,200 --> 00:06:23,760 Speaker 1: They say that consumer confidence in the current conditions has 118 00:06:23,760 --> 00:06:27,560 Speaker 1: reached an eighteen year high. Small business optimism might come 119 00:06:27,600 --> 00:06:30,800 Speaker 1: from a small business family, and it's so good to 120 00:06:30,839 --> 00:06:34,200 Speaker 1: see that they are very optimistic, and its sustained record 121 00:06:34,279 --> 00:06:38,240 Speaker 1: high levels that optimism. There was a Harris poll that 122 00:06:38,400 --> 00:06:41,440 Speaker 1: was done. It was late summer, I think, and it 123 00:06:41,520 --> 00:06:45,640 Speaker 1: showed a remarkable eighty five percent of blue color workers 124 00:06:46,160 --> 00:06:51,440 Speaker 1: believe the country is advancing in the right direction. Sixty 125 00:06:51,480 --> 00:06:54,200 Speaker 1: eight percent reported a pay increase in the last year, 126 00:06:55,839 --> 00:07:00,120 Speaker 1: five point five trillion engross tax cuts, sixty percent going 127 00:07:00,160 --> 00:07:03,279 Speaker 1: to families, and we saw the child tax credit double 128 00:07:03,400 --> 00:07:05,919 Speaker 1: and all of this, of course, just crumbs, according to 129 00:07:06,000 --> 00:07:10,680 Speaker 1: Nancy Pelosi, just crumbs, unless, of course you're collecting those clumbs. Crumbs. 130 00:07:11,680 --> 00:07:14,440 Speaker 1: Did you notice, by the way, when people like Nancy 131 00:07:14,440 --> 00:07:17,880 Speaker 1: Pelosi say that the people who tell us it's bad 132 00:07:17,880 --> 00:07:21,600 Speaker 1: to be rich are usually rich themselves. Ever noticed that 133 00:07:22,360 --> 00:07:25,480 Speaker 1: top corporate tax rate was lowered from thirty five percent 134 00:07:25,560 --> 00:07:29,960 Speaker 1: to twenty one percent so that American businesses could be 135 00:07:30,160 --> 00:07:34,040 Speaker 1: more competitive. Over four hundred and fifty billion dollars already 136 00:07:34,040 --> 00:07:37,640 Speaker 1: poured back into the United States. Matt includes more than 137 00:07:37,720 --> 00:07:42,320 Speaker 1: three hundred billion in the first quarter of two eighteen alone. 138 00:07:42,800 --> 00:07:47,120 Speaker 1: Retail sales have surged. Oh you know, a couple of 139 00:07:47,160 --> 00:07:51,120 Speaker 1: months ago, a Target store CEO said that this economy 140 00:07:51,240 --> 00:07:53,600 Speaker 1: was amazing. In fact, he said in I quote, this 141 00:07:53,680 --> 00:07:57,840 Speaker 1: is the best consumer environment I have ever seen, the 142 00:07:58,000 --> 00:08:01,240 Speaker 1: best he's ever seen. Of you. When I tell you 143 00:08:01,280 --> 00:08:04,760 Speaker 1: that Tiffany is selling more blue boxes because the fluent 144 00:08:04,760 --> 00:08:07,480 Speaker 1: buyers are splurging, might say, well, what do I care 145 00:08:07,520 --> 00:08:10,160 Speaker 1: about that? You know? Well, how about this? People of 146 00:08:10,200 --> 00:08:12,640 Speaker 1: that work in the stores that sell those little blue 147 00:08:12,640 --> 00:08:18,240 Speaker 1: boxes are doing well. Commissions they're you're an average American 148 00:08:18,640 --> 00:08:22,440 Speaker 1: working at Tiffany, you're getting commission. Sales rose twelve percent 149 00:08:22,560 --> 00:08:25,440 Speaker 1: from a year earlier to one point one billion. It 150 00:08:25,560 --> 00:08:29,160 Speaker 1: all adds up, and and it's all good for everybody, 151 00:08:29,240 --> 00:08:32,800 Speaker 1: it really is. President Trump far exceeded his promise, and 152 00:08:32,880 --> 00:08:36,679 Speaker 1: I love this. Remember when he promised to eliminate regulations 153 00:08:36,720 --> 00:08:40,880 Speaker 1: at a two to one ratio. Well guess what. Instead 154 00:08:40,920 --> 00:08:45,760 Speaker 1: of doing that, he issued twenty two deregulatory actions for 155 00:08:45,920 --> 00:08:51,240 Speaker 1: every new regulatory action, twenty two to one. How about that? 156 00:08:51,679 --> 00:08:54,160 Speaker 1: He beat himself on that promise, you know. And then 157 00:08:54,200 --> 00:08:58,040 Speaker 1: you can look at domestically, trade, energy, defense, veterans, affairs, 158 00:08:58,120 --> 00:09:02,640 Speaker 1: law and order, healthcare, infrastructure, all all seeing great success 159 00:09:03,800 --> 00:09:07,200 Speaker 1: and very important, I think, and Linda really is responsible 160 00:09:07,240 --> 00:09:09,080 Speaker 1: for opening my eyes to just how much of an 161 00:09:09,080 --> 00:09:13,800 Speaker 1: epidemic this is. This administration declared the opioid crisis and 162 00:09:13,960 --> 00:09:18,160 Speaker 1: nationwide public health emergency in October of twenty seventeen. But 163 00:09:18,280 --> 00:09:22,080 Speaker 1: since then, this administration has helped reduce high dose opioid 164 00:09:22,080 --> 00:09:25,800 Speaker 1: prescriptions by sixteen percent last year, and six billion dollars 165 00:09:25,840 --> 00:09:28,920 Speaker 1: in new funding has been gone has gone out to 166 00:09:28,960 --> 00:09:32,400 Speaker 1: fight the opioid epidemic. And that is so important. And 167 00:09:32,440 --> 00:09:34,160 Speaker 1: I was hoping that maybe today we can even talk 168 00:09:34,200 --> 00:09:36,760 Speaker 1: a little bit about that. We'll see how much time 169 00:09:36,760 --> 00:09:40,360 Speaker 1: we have. But not only are we doing well domestically, 170 00:09:40,400 --> 00:09:43,920 Speaker 1: but America's winning on the world stage as well. He 171 00:09:44,080 --> 00:09:46,440 Speaker 1: followed through on his promise to move the US embassy 172 00:09:46,520 --> 00:09:49,800 Speaker 1: in Israel to Jerusalem. He ordered an end to US 173 00:09:49,880 --> 00:09:54,680 Speaker 1: participation in that horrible Iran deal. Days after he took office, 174 00:09:54,679 --> 00:10:00,120 Speaker 1: he withdrew the US from the Transpacific Partnership Agreement. And 175 00:10:00,200 --> 00:10:02,320 Speaker 1: also by the way, he contributed to the return of 176 00:10:02,360 --> 00:10:08,040 Speaker 1: seventeen Americans held overseas, and that very long, very gross 177 00:10:08,160 --> 00:10:11,840 Speaker 1: and reluctant relationship that America has had with the International 178 00:10:11,840 --> 00:10:16,160 Speaker 1: Criminal Court that came to a halt last year. He 179 00:10:16,200 --> 00:10:19,280 Speaker 1: announced his intention to withdraw the US from the Paris 180 00:10:19,280 --> 00:10:22,040 Speaker 1: Climate Accord. And you know, the nations that are still 181 00:10:22,080 --> 00:10:25,800 Speaker 1: in the accord have not yet reported a decline in 182 00:10:25,840 --> 00:10:29,720 Speaker 1: greenhouse gases. Instead, there was a one point seven percent 183 00:10:29,800 --> 00:10:33,560 Speaker 1: spike at the same time, though under Trump, we achieved 184 00:10:33,559 --> 00:10:37,560 Speaker 1: the largest decline in carbon emissions in the world. He 185 00:10:37,720 --> 00:10:43,679 Speaker 1: negotiated historic US Mexico Canada trade agreement to replace NAFTA, 186 00:10:43,880 --> 00:10:47,880 Speaker 1: working with North Korea's Kim John Un to establish denuclearization. 187 00:10:49,360 --> 00:10:52,240 Speaker 1: Oh and he was really successful in getting the return 188 00:10:52,280 --> 00:10:55,280 Speaker 1: of those remains of the soldiers from the Korean War, 189 00:10:57,080 --> 00:11:02,000 Speaker 1: Venezuela Syrian regime, Cuba. Paulis see all of these places. 190 00:11:02,160 --> 00:11:05,439 Speaker 1: He has done greatly great, He's done so well, and 191 00:11:05,480 --> 00:11:07,880 Speaker 1: he's been so successful. Also, I love this. He helped 192 00:11:07,880 --> 00:11:11,240 Speaker 1: the US bid for the twenty twenty eighth Summer Olympics 193 00:11:11,280 --> 00:11:14,000 Speaker 1: in La But this is cool too. He helped win 194 00:11:14,080 --> 00:11:17,800 Speaker 1: the US at Mexico Canada's United bid for the twenty 195 00:11:17,840 --> 00:11:20,840 Speaker 1: twenty six World Cup. And then when you take a 196 00:11:20,880 --> 00:11:24,959 Speaker 1: look at how America's government has become more accountable to 197 00:11:25,000 --> 00:11:29,600 Speaker 1: the American people, look at how he's secured Justice Gorsuch 198 00:11:29,720 --> 00:11:34,800 Speaker 1: and Justice Kavanaughs confirmation to the United States Supreme Court. 199 00:11:36,000 --> 00:11:38,960 Speaker 1: He signed the Department of Veterans Affairs Accountability and whistle 200 00:11:38,960 --> 00:11:42,640 Speaker 1: Blower Protection Act, and he eliminated the penalty for Obamacare's 201 00:11:42,679 --> 00:11:45,960 Speaker 1: individual mandate. And here's one that's really important to me. 202 00:11:46,679 --> 00:11:50,080 Speaker 1: And I haven't even I haven't even scratched the surface. People, 203 00:11:50,080 --> 00:11:52,760 Speaker 1: I'm trying to give you just the highlights. He ensured 204 00:11:52,800 --> 00:11:57,559 Speaker 1: that the religious liberties, our religious liberties are protected and 205 00:11:57,800 --> 00:12:02,240 Speaker 1: respected by the federal government. He signed an executive order 206 00:12:02,280 --> 00:12:05,559 Speaker 1: to protect free speech and religious liberties. And you know, 207 00:12:06,000 --> 00:12:10,080 Speaker 1: someone once asked, and I think it was don't quote me, honest, 208 00:12:10,080 --> 00:12:13,600 Speaker 1: I'm pretty sure it's Tucker Carlson. I'm not positive. But 209 00:12:13,640 --> 00:12:16,839 Speaker 1: they had asked him during the election presidential election how 210 00:12:16,840 --> 00:12:20,520 Speaker 1: it was that evangelicals could support Donald Trump, and his 211 00:12:20,640 --> 00:12:23,480 Speaker 1: answer was something like, it's because we're not looking for 212 00:12:23,520 --> 00:12:26,400 Speaker 1: a saint or savior. We've got all that. We're looking 213 00:12:26,440 --> 00:12:29,360 Speaker 1: for a bodyguard. And you know what, that's what he 214 00:12:29,400 --> 00:12:33,560 Speaker 1: has been for us. He has been our individual bodyguards. 215 00:12:33,559 --> 00:12:37,800 Speaker 1: He's been the country's bodyguard. And you know, we accepted 216 00:12:37,880 --> 00:12:39,679 Speaker 1: him when he was running, and we voted for him 217 00:12:39,679 --> 00:12:43,520 Speaker 1: because we knew who he was. We knew him. But 218 00:12:43,640 --> 00:12:47,240 Speaker 1: we also knew or believed that he could do what 219 00:12:47,360 --> 00:12:51,000 Speaker 1: he said he would, and he has. Clearly he's done it. 220 00:12:51,320 --> 00:12:54,360 Speaker 1: And this list that I gave you represents only a 221 00:12:54,400 --> 00:12:57,040 Speaker 1: small portion of what he's done in the last two years. 222 00:12:57,200 --> 00:13:00,320 Speaker 1: But my goodness, even half of this list is a 223 00:13:00,440 --> 00:13:04,679 Speaker 1: job well done. Our president put the American people first, 224 00:13:05,000 --> 00:13:07,400 Speaker 1: and he made government more accountable to us. So let 225 00:13:07,480 --> 00:13:12,280 Speaker 1: me ask you something. Are you tired of winning yet? 226 00:13:12,640 --> 00:13:15,960 Speaker 1: We're gonna win so much. We're gonna win at every level. 227 00:13:16,200 --> 00:13:19,400 Speaker 1: We're gonna win economically, We're gonna win with the economy. 228 00:13:19,559 --> 00:13:22,640 Speaker 1: We're gonna win with military, We're gonna win with healthcarret 229 00:13:22,640 --> 00:13:26,080 Speaker 1: for our veterans. We're gonna win with every single facet. 230 00:13:26,320 --> 00:13:29,280 Speaker 1: We're gonna win so much you may even get tired 231 00:13:29,320 --> 00:13:32,760 Speaker 1: of winning. And God bless him, who will be right 232 00:13:32,800 --> 00:13:35,080 Speaker 1: back with more of the Sean Hannity Show our phone number, 233 00:13:35,200 --> 00:13:37,480 Speaker 1: eight hundred nine four one, Sean. I'd love to hear 234 00:13:37,520 --> 00:13:40,640 Speaker 1: from you. Eight hundred nine four one Sean. We'll be back, 235 00:13:40,640 --> 00:13:43,360 Speaker 1: Greg Jared joining us at the half hour. Hey, you 236 00:13:43,400 --> 00:13:45,760 Speaker 1: know what never goes out of style? Surprising a friend 237 00:13:45,800 --> 00:13:48,480 Speaker 1: a love one with a dazzling bouquet of one eight 238 00:13:48,559 --> 00:13:51,240 Speaker 1: hundred flowers dot com. 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One eight hundred Flowers will handle the rest. 249 00:14:25,040 --> 00:14:27,600 Speaker 1: Be the reason your friend, your loved ones day is 250 00:14:27,640 --> 00:14:30,920 Speaker 1: brighter with studying bouquets from our friends at one eight 251 00:14:30,960 --> 00:14:34,120 Speaker 1: hundred flowers dot com. Now to order bouquets and arrangements 252 00:14:34,120 --> 00:14:36,320 Speaker 1: starting at twenty nine ninety nine, go to one eight 253 00:14:36,440 --> 00:14:40,000 Speaker 1: hundred flowers dot com slash Hannity order today and save 254 00:14:40,080 --> 00:14:46,120 Speaker 1: at one eight hundred flowers dot com slash Hannity. Welcome 255 00:14:46,160 --> 00:14:48,440 Speaker 1: back to the Sean Hannity Show. My name is Rose. 256 00:14:49,120 --> 00:14:52,680 Speaker 1: Check me out on Twitter it's at Rose Underscore Unplugged, 257 00:14:53,080 --> 00:14:56,280 Speaker 1: and on Facebook it's Rose unplugged and oh yeah, my 258 00:14:56,320 --> 00:15:00,479 Speaker 1: website Rose unplugged dot com. So that should be pretty easy. 259 00:15:00,680 --> 00:15:03,600 Speaker 1: Coming up next is Greg Jarrett. Oh my gosh, there's 260 00:15:03,600 --> 00:15:05,800 Speaker 1: so much to talk to him about. You don't even 261 00:15:05,840 --> 00:15:08,400 Speaker 1: know where to start sometimes. But the great thing about 262 00:15:08,440 --> 00:15:11,160 Speaker 1: Greg Jarrett is he gets us there. He explains it 263 00:15:11,240 --> 00:15:14,600 Speaker 1: so well, and there's so much to keep up with, 264 00:15:14,720 --> 00:15:17,960 Speaker 1: yet he does it. Then next hour Lara Trump and 265 00:15:18,000 --> 00:15:22,160 Speaker 1: then Katie Hopkins after that, so it should be a 266 00:15:22,160 --> 00:15:24,560 Speaker 1: lot of fun. Let's take some call. Gosh, there's a 267 00:15:24,600 --> 00:15:27,680 Speaker 1: call from Pennsylvania. John wants to take a walk down 268 00:15:27,760 --> 00:15:34,320 Speaker 1: Clinton Memory Lane. Hey John, how's it going? And I 269 00:15:34,360 --> 00:15:37,200 Speaker 1: think that I'm the one who's supposed to bring him up? Okay, 270 00:15:37,320 --> 00:15:40,600 Speaker 1: I'm sorry, Oh okay, Hi John. How you doing babe? 271 00:15:41,120 --> 00:15:43,760 Speaker 1: I'm doing very well. Rose. How are you today? Doing well? 272 00:15:43,840 --> 00:15:46,240 Speaker 1: Thank you. I'm going to pull over because, to be 273 00:15:46,280 --> 00:15:47,920 Speaker 1: honest with you, i'm driving, but I want to give 274 00:15:47,920 --> 00:15:51,560 Speaker 1: you my complete and undivided attention. I called your show 275 00:15:51,800 --> 00:15:53,840 Speaker 1: one time in the past when it was the Quinn 276 00:15:53,920 --> 00:15:57,160 Speaker 1: and Rose Show, and you guys were looking for someone 277 00:15:57,200 --> 00:16:00,920 Speaker 1: to cut down a tree live on our day. This 278 00:16:01,000 --> 00:16:03,720 Speaker 1: was in two thousand and nine, and I'm the guy 279 00:16:03,760 --> 00:16:06,440 Speaker 1: that did that. Well, thank you. You did a great job. 280 00:16:06,480 --> 00:16:10,200 Speaker 1: That was a huge tree. It wasn't really all that big, 281 00:16:10,200 --> 00:16:12,120 Speaker 1: to be honest with you. But but I had made 282 00:16:12,200 --> 00:16:14,600 Speaker 1: a couple of jokes, and you guys were enjoying my jokes, 283 00:16:14,600 --> 00:16:17,280 Speaker 1: and I said, the first thing I'm going to do 284 00:16:17,400 --> 00:16:19,240 Speaker 1: is cut down a sycamore tree because I'm sick of 285 00:16:19,320 --> 00:16:23,080 Speaker 1: more government we need. That's hilarious. Here we go. And 286 00:16:23,120 --> 00:16:24,680 Speaker 1: then I made a joke and I said, and then 287 00:16:24,680 --> 00:16:27,360 Speaker 1: I'm going to cut down five poison sumac trees to 288 00:16:27,400 --> 00:16:30,800 Speaker 1: represent the five toxic branches of government, at which point 289 00:16:30,800 --> 00:16:32,760 Speaker 1: I kind of lost you because you thought, oh, this 290 00:16:32,760 --> 00:16:35,080 Speaker 1: guy's an idiot. He thinks there's five branches of government. 291 00:16:35,440 --> 00:16:37,760 Speaker 1: And the joke was in case you're wondering what the 292 00:16:37,800 --> 00:16:40,760 Speaker 1: other two are, that would be the public scruel system 293 00:16:41,240 --> 00:16:45,240 Speaker 1: and the mainstream lamestream media. Okay, well there you go. 294 00:16:45,680 --> 00:16:49,560 Speaker 1: So that wasn't such a lame joke after all. Lame 295 00:16:49,640 --> 00:16:53,240 Speaker 1: reason I'm the main reason I'm crawling today. Is I 296 00:16:53,360 --> 00:16:56,600 Speaker 1: hear this talk about Donald Trump is horrible. He's foul. 297 00:16:56,640 --> 00:16:59,400 Speaker 1: He should be impeached. Nothing that he's done is an 298 00:16:59,440 --> 00:17:03,400 Speaker 1: impeachable offense or criminal, if I may remind the general 299 00:17:03,440 --> 00:17:06,639 Speaker 1: public as I take this opportunity, I believe I'm correct 300 00:17:06,720 --> 00:17:09,719 Speaker 1: on that right. And you know, and it's so much. 301 00:17:09,760 --> 00:17:12,080 Speaker 1: All they want is to impeach him, and then I've 302 00:17:12,080 --> 00:17:16,280 Speaker 1: got something to Ladier that I'll get to. But there's 303 00:17:16,320 --> 00:17:19,120 Speaker 1: always something they can blame him for, they think. And 304 00:17:19,200 --> 00:17:21,720 Speaker 1: some Democrats are talking and I don't even know what 305 00:17:21,720 --> 00:17:24,480 Speaker 1: they're talking about, but they just won him out. They 306 00:17:24,480 --> 00:17:27,080 Speaker 1: want him out because he's been such a great success. 307 00:17:27,280 --> 00:17:29,240 Speaker 1: We're going to talk about a lot of it's going on, 308 00:17:29,320 --> 00:17:32,639 Speaker 1: the Muller investigation. Cohen, oh my gosh. We're going to 309 00:17:32,640 --> 00:17:34,920 Speaker 1: talk about General Flynn. So all of that is coming 310 00:17:35,000 --> 00:17:37,879 Speaker 1: up next with Greg Jarretts. So don't go too far away. 311 00:17:38,240 --> 00:17:40,040 Speaker 1: The phone number for the show's eight hundred and nine 312 00:17:40,040 --> 00:17:43,000 Speaker 1: for one. Sean love being with you, guys, Stay with us. 313 00:17:43,080 --> 00:17:45,600 Speaker 1: We'll be back with lots more. Hey, if you're one 314 00:17:45,640 --> 00:17:48,359 Speaker 1: of thirty four million Americans that smokes, you know what 315 00:17:48,440 --> 00:17:51,240 Speaker 1: a hassle that can be for me. 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And Jewel was designed by smokers for 323 00:18:14,960 --> 00:18:18,320 Speaker 1: smokers to be an alternative to whatever it is you're smoky. 324 00:18:18,560 --> 00:18:20,560 Speaker 1: So if you're one of thirty four million adults who 325 00:18:20,560 --> 00:18:23,840 Speaker 1: do smoke cigars, cigarettes, pipe, whatever, well there is an 326 00:18:23,840 --> 00:18:27,000 Speaker 1: alternative to all of them. Now to discover the smoking 327 00:18:27,000 --> 00:18:32,040 Speaker 1: alternative that's like nothing you've ever tried, just visit Juul 328 00:18:32,520 --> 00:18:38,120 Speaker 1: dot com slash switch America. That's ju Ul dot com 329 00:18:38,240 --> 00:18:42,160 Speaker 1: slash switch America. Now warning, this product does contain nicotine, 330 00:18:42,160 --> 00:18:46,320 Speaker 1: and nicotine is addictive. Hi, welcome back to the Seawan 331 00:18:46,440 --> 00:18:50,480 Speaker 1: Handity Show. Sean's Twitter, by the way, is at Sean Hannity. 332 00:18:50,840 --> 00:18:53,040 Speaker 1: And thanks so much Sean for allowing me to sit 333 00:18:53,040 --> 00:18:55,320 Speaker 1: in for you today. I am really enjoying it. My 334 00:18:55,400 --> 00:18:57,760 Speaker 1: name is Rose and joining me right now. Is the 335 00:18:57,800 --> 00:19:00,960 Speaker 1: author of the book The Russia Hoax, The Illicit Scheme 336 00:19:01,000 --> 00:19:04,199 Speaker 1: to Clear Hillary Clinton and Frame Donald Trump. He's a 337 00:19:04,280 --> 00:19:06,960 Speaker 1: legal analyst and contributor for Fox News Channel and Fox 338 00:19:07,000 --> 00:19:10,160 Speaker 1: Business Network and also a former defense attorney. Please welcome 339 00:19:10,200 --> 00:19:12,840 Speaker 1: to the show, Greg Jared. Hey, Greg, how are you doing. 340 00:19:13,640 --> 00:19:16,840 Speaker 1: I'm well, Rose. Thanks for having me on. Oh, it's 341 00:19:16,840 --> 00:19:19,119 Speaker 1: so good to have you on. I all, you're the 342 00:19:19,160 --> 00:19:23,800 Speaker 1: go to guy when we need help figuring everything out. Okay, So, 343 00:19:24,000 --> 00:19:26,520 Speaker 1: but there's so much to figure out today. First of all, 344 00:19:27,840 --> 00:19:31,480 Speaker 1: Judge Emmett Sullivan, Now that's the same guy that discovered 345 00:19:31,520 --> 00:19:35,520 Speaker 1: that Weiseman and his bunch were withholding exculpatory evidence in 346 00:19:35,520 --> 00:19:37,880 Speaker 1: the Ted Stevens case, Right, isn't he the same one? 347 00:19:38,640 --> 00:19:44,119 Speaker 1: It is. In fact, he's very wily and wise to 348 00:19:44,240 --> 00:19:49,439 Speaker 1: the pitfalls of a prosecution case. He looks for, I 349 00:19:49,480 --> 00:19:55,160 Speaker 1: think prosecutors who are hiding evidence and creating false testimony, 350 00:19:55,160 --> 00:19:57,400 Speaker 1: which he found in that case. So it seems he's 351 00:19:57,400 --> 00:20:01,160 Speaker 1: alerted to the Michael Flint case. The same thing may 352 00:20:01,160 --> 00:20:05,199 Speaker 1: have occurred. Right, So he ordered the Special Council to 353 00:20:05,200 --> 00:20:07,760 Speaker 1: turn over any of the documents that or all of 354 00:20:07,760 --> 00:20:11,879 Speaker 1: the documents I should say that are related to General Flynn. 355 00:20:12,240 --> 00:20:15,040 Speaker 1: So but they had but he felt that he didn't 356 00:20:15,040 --> 00:20:17,280 Speaker 1: receive what he had asked for, so then he said, okay, 357 00:20:17,320 --> 00:20:18,840 Speaker 1: that's it, and I need to have those now. From 358 00:20:18,840 --> 00:20:22,240 Speaker 1: what I understand, the Muller team has handed those over, 359 00:20:22,320 --> 00:20:27,800 Speaker 1: but they were heavily redacted, that's right. So we don't 360 00:20:27,920 --> 00:20:32,840 Speaker 1: know whether the judge received an unredacted version. I suspect 361 00:20:32,880 --> 00:20:36,600 Speaker 1: he received what we received, which was a redacted version. 362 00:20:37,240 --> 00:20:40,879 Speaker 1: And it appears to me that Mueller may not have 363 00:20:40,960 --> 00:20:44,600 Speaker 1: handed over all of the three O twos that were requested. 364 00:20:44,680 --> 00:20:47,960 Speaker 1: The judge was very clear, he said, handover to me, 365 00:20:48,800 --> 00:20:50,960 Speaker 1: not to the other side, but to me. The judge 366 00:20:51,520 --> 00:20:55,480 Speaker 1: any and all three O two's relative to the Michael 367 00:20:55,520 --> 00:20:58,840 Speaker 1: Flynn case. Well, the three O two that the media 368 00:20:58,960 --> 00:21:05,240 Speaker 1: received is dated August. Where is the three O two 369 00:21:05,840 --> 00:21:10,960 Speaker 1: that's dated January and early February of the interview of 370 00:21:11,000 --> 00:21:14,000 Speaker 1: Michael Flynn. The August three O two is an interview 371 00:21:14,280 --> 00:21:19,280 Speaker 1: of Peter Struck recounting his interview of Michael Flynn seven 372 00:21:19,320 --> 00:21:22,439 Speaker 1: months earlier. So I'm hoping that the judge is going 373 00:21:22,520 --> 00:21:25,440 Speaker 1: to say, wait a minute, he only gave me one 374 00:21:25,520 --> 00:21:28,600 Speaker 1: three o two and that's seven months after the fact. 375 00:21:28,640 --> 00:21:32,040 Speaker 1: Where's the original? Yeah, you know, because that's exactly right. 376 00:21:32,200 --> 00:21:34,240 Speaker 1: That wasn't the one that he had asked for, right, 377 00:21:34,920 --> 00:21:37,840 Speaker 1: So what happened for any at all? Okay, you know 378 00:21:38,080 --> 00:21:40,520 Speaker 1: they haven't given any at all. We know there's a 379 00:21:40,600 --> 00:21:44,320 Speaker 1: three o two in January February, right after the Flynn interview, 380 00:21:44,480 --> 00:21:49,480 Speaker 1: because Peter Struck and his lover Lisa Page texted each 381 00:21:49,520 --> 00:21:52,560 Speaker 1: other about it, and we have that text. You know, 382 00:21:53,560 --> 00:21:55,760 Speaker 1: it's interesting because I mean, so what happens? I mean, 383 00:21:55,800 --> 00:21:58,720 Speaker 1: they don't they can't destroy that information, can they? I 384 00:21:58,760 --> 00:22:01,920 Speaker 1: mean they have to. They've got it. I've got to 385 00:22:01,960 --> 00:22:06,840 Speaker 1: be there somewhere, right, Honest prosecutors that don't destroy that stuff. 386 00:22:06,960 --> 00:22:09,880 Speaker 1: Dishonest prosecutors do. And again you brought up to Ted 387 00:22:09,920 --> 00:22:16,960 Speaker 1: Stevens case, right, They had either destroyed or hidden exculpatory 388 00:22:17,040 --> 00:22:21,199 Speaker 1: evidence and in fact invented false evidence to try to 389 00:22:21,240 --> 00:22:25,800 Speaker 1: convict Ted Stevens. This is what happens when you know 390 00:22:26,040 --> 00:22:30,560 Speaker 1: you have prosecutors who only care about winning and don't 391 00:22:30,560 --> 00:22:34,760 Speaker 1: care about honesty injustice, you know, And in the case 392 00:22:34,800 --> 00:22:37,320 Speaker 1: of Ted Stevens too, that was so sad because you know, 393 00:22:37,359 --> 00:22:40,560 Speaker 1: he lost an election as a result. He was I 394 00:22:40,600 --> 00:22:42,879 Speaker 1: think he was found guilty on what eight felonies and 395 00:22:42,920 --> 00:22:45,640 Speaker 1: then it was appealed because it was discovered, as you said, 396 00:22:45,680 --> 00:22:48,000 Speaker 1: the evidence was held back. But he lost his career 397 00:22:48,000 --> 00:22:51,000 Speaker 1: and he and he has since passed away. So you know, 398 00:22:51,000 --> 00:22:53,000 Speaker 1: it's just it's when you see this happen, it just 399 00:22:53,040 --> 00:22:54,960 Speaker 1: it breaks your heart. And a lot of few people 400 00:22:54,960 --> 00:22:57,800 Speaker 1: feel that Flynn, of course, has been treated unfairly. And 401 00:22:58,000 --> 00:22:59,560 Speaker 1: in one of the couple of things that we heard, 402 00:23:00,160 --> 00:23:03,960 Speaker 1: he's up his sentence. He's still going to be tomorrow. 403 00:23:04,960 --> 00:23:07,280 Speaker 1: It is, it's supposed to be. Now the judge could 404 00:23:07,320 --> 00:23:12,560 Speaker 1: always delay it and demand a hearing and for prosecutors 405 00:23:12,600 --> 00:23:17,840 Speaker 1: to all of them involved, maybe including Peter Struck and 406 00:23:18,040 --> 00:23:22,800 Speaker 1: James Comeey and others, for what's known as a show 407 00:23:22,880 --> 00:23:25,400 Speaker 1: cause hearing as to why they should not be held 408 00:23:25,400 --> 00:23:29,119 Speaker 1: in contempt. You know, are you guys hiding documents? You 409 00:23:29,160 --> 00:23:32,399 Speaker 1: didn't give me all the documents I demanded, and I 410 00:23:32,480 --> 00:23:34,800 Speaker 1: want a full accounting here, and everybody's going to show up. 411 00:23:34,840 --> 00:23:37,240 Speaker 1: This is an Article three judge, which means, you know, 412 00:23:37,280 --> 00:23:40,600 Speaker 1: he's answerable to nobody. He's a judgmeral judge for life, 413 00:23:41,440 --> 00:23:43,800 Speaker 1: and he has the authority to do that. And I, 414 00:23:43,960 --> 00:23:48,359 Speaker 1: you know, I hope he's as deeply concerned about the 415 00:23:48,640 --> 00:23:52,879 Speaker 1: injustice as I am. And in fact, I wrote a 416 00:23:52,920 --> 00:23:57,240 Speaker 1: column that was published on Friday night. It was entitled, 417 00:23:57,240 --> 00:24:01,800 Speaker 1: Michael Flynn is innocent, wrongly prosecuted by Muller to hurt Trump. 418 00:24:02,680 --> 00:24:04,720 Speaker 1: You can find it on foxnews dot com. And I 419 00:24:04,720 --> 00:24:07,320 Speaker 1: believe Sean has it on his website as well. Right, 420 00:24:07,400 --> 00:24:10,280 Speaker 1: he does. And so when we talk about how he 421 00:24:10,320 --> 00:24:13,240 Speaker 1: was how this went down with Flynn, a lot of 422 00:24:13,240 --> 00:24:16,280 Speaker 1: people have been talking a lot recently about his right 423 00:24:16,320 --> 00:24:19,280 Speaker 1: to counsel. He didn't know that he had that. They 424 00:24:19,280 --> 00:24:24,200 Speaker 1: were saying this is entrapment. And what you said too, 425 00:24:24,200 --> 00:24:27,199 Speaker 1: that this is they weaponized. You know, they're just weaponizing 426 00:24:27,200 --> 00:24:31,119 Speaker 1: this whole process. So was he discouraged from having an attorney? 427 00:24:31,160 --> 00:24:33,399 Speaker 1: And how much of an abuse of the justice system 428 00:24:33,560 --> 00:24:38,639 Speaker 1: was all of that? Oh, he was absolutely told he 429 00:24:38,680 --> 00:24:41,840 Speaker 1: didn't need a lawyer. Andrew McCabe, on the day of 430 00:24:41,920 --> 00:24:45,840 Speaker 1: the interview with Flynn by two FBI agents, telephoned Flynn 431 00:24:45,840 --> 00:24:48,600 Speaker 1: of the White House and he lied to him. He 432 00:24:48,960 --> 00:24:52,160 Speaker 1: gave him a false reason for why they wanted to 433 00:24:52,400 --> 00:24:57,040 Speaker 1: speak with him. They decided an advanced quote, the agents 434 00:24:57,119 --> 00:25:00,640 Speaker 1: would not warn Flynn it's a crimed lie during interview. 435 00:25:00,800 --> 00:25:06,600 Speaker 1: End of quote. That's in McCabe's memos. And you know 436 00:25:06,720 --> 00:25:11,680 Speaker 1: they they already had a transcript of the legal, very 437 00:25:11,800 --> 00:25:15,600 Speaker 1: legal conversation that Flynn had had with the Russian ambassador. 438 00:25:15,680 --> 00:25:20,360 Speaker 1: Not unusual, not illegal, which also invites the question why 439 00:25:20,400 --> 00:25:22,760 Speaker 1: even do the interview. They didn't have a legal basis 440 00:25:22,760 --> 00:25:28,400 Speaker 1: for questioning, you know, the National Security advisor. Their intent 441 00:25:29,320 --> 00:25:32,560 Speaker 1: was too I don't use the word entrapment because legally 442 00:25:33,040 --> 00:25:38,080 Speaker 1: that's different, but they were trying to trap him into 443 00:25:38,160 --> 00:25:41,760 Speaker 1: making a false statement. The irony, of course, is that 444 00:25:41,800 --> 00:25:44,760 Speaker 1: the two FBI agents who did the interview walked out 445 00:25:45,720 --> 00:25:50,080 Speaker 1: wrote down in a memo that they quote had the 446 00:25:50,119 --> 00:25:54,560 Speaker 1: impression at the time that Flynn was not lying. So 447 00:25:56,000 --> 00:25:59,680 Speaker 1: if i'm am at Sullivan, I might say, on Tuesday tomorrow, 448 00:26:00,720 --> 00:26:04,560 Speaker 1: why did you charge Flynn with a crime of lyne 449 00:26:05,480 --> 00:26:08,800 Speaker 1: when the only two witnesses who interviewed Flynn said he 450 00:26:08,920 --> 00:26:13,879 Speaker 1: was not lying. Sounds like a fair question, yes, And 451 00:26:14,240 --> 00:26:17,040 Speaker 1: the judge should also turn to Michael Flynn and say, 452 00:26:17,080 --> 00:26:19,160 Speaker 1: why did you plead guilty to a crime you did 453 00:26:19,160 --> 00:26:23,199 Speaker 1: not commit. Were you coerced? Did the FEDS threaten to 454 00:26:23,320 --> 00:26:27,560 Speaker 1: prosecute your son? Were there financial reasons that caused you 455 00:26:27,680 --> 00:26:30,960 Speaker 1: to plead? Because you know, it's the role of the 456 00:26:31,240 --> 00:26:37,120 Speaker 1: judge to see that a process is fair and honest 457 00:26:37,640 --> 00:26:41,520 Speaker 1: and not unduly coerced, to see that justice is done, 458 00:26:41,600 --> 00:26:45,320 Speaker 1: not to see that convictions are had. So we'll wait 459 00:26:45,320 --> 00:26:48,679 Speaker 1: and see what happens tomorrow. But it's an important day, Greg. 460 00:26:48,920 --> 00:26:52,560 Speaker 1: What are they talking about today? Michael Flynn's business partner. 461 00:26:52,920 --> 00:26:57,600 Speaker 1: They say that he was illegally lobbying for Turkey, And 462 00:26:57,680 --> 00:27:01,199 Speaker 1: I guess I suppose they're trying to I don't know. 463 00:27:01,440 --> 00:27:03,160 Speaker 1: Is this another issue now that we have to face, 464 00:27:03,240 --> 00:27:05,159 Speaker 1: or that Flynn has to face, or is this this 465 00:27:05,240 --> 00:27:09,760 Speaker 1: is just so separate, isn't it. Well, part of the 466 00:27:09,880 --> 00:27:15,000 Speaker 1: recitation of facts in the sentencing memo was that that 467 00:27:15,240 --> 00:27:23,960 Speaker 1: Flynn hadn't registered properly under Farah Foreign Agents Registration Act. Now, 468 00:27:24,480 --> 00:27:27,480 Speaker 1: normally people are allowed to, you know, when they're caught 469 00:27:27,560 --> 00:27:34,960 Speaker 1: having not properly registered, they're allowed to then register retroactively. 470 00:27:36,160 --> 00:27:38,920 Speaker 1: But Muller really is the first prosecutor in a long 471 00:27:39,000 --> 00:27:41,600 Speaker 1: time who's decided he's going to go after people for 472 00:27:41,640 --> 00:27:46,119 Speaker 1: Farah violations. And it looks like a couple of the 473 00:27:46,160 --> 00:27:52,560 Speaker 1: business partners of Michael Flynn failed a properly register. But 474 00:27:52,640 --> 00:27:54,959 Speaker 1: you know, once again, Rose, it has nothing whatsoever did 475 00:27:55,000 --> 00:28:00,000 Speaker 1: Donald Trump and Russia? Right right, Russia, that's right, Donald Trump. 476 00:28:00,040 --> 00:28:03,280 Speaker 1: Speaking of President Trump, he was talking over the weekend 477 00:28:03,280 --> 00:28:06,560 Speaker 1: about how the media isn't paying any attention to the 478 00:28:06,640 --> 00:28:10,600 Speaker 1: new revelations about Peter stroke and Lisa Page and their 479 00:28:10,760 --> 00:28:16,400 Speaker 1: tweets I'm sorry in their emails and supposedly those they 480 00:28:16,400 --> 00:28:20,320 Speaker 1: can't find the text that they made between between the 481 00:28:20,359 --> 00:28:23,159 Speaker 1: two of them. Their iPhones were that were issued to 482 00:28:23,280 --> 00:28:28,080 Speaker 1: both of them, both Strock and Page have been cleaned 483 00:28:28,480 --> 00:28:30,760 Speaker 1: and so there's nothing there. And Trump is a little 484 00:28:30,800 --> 00:28:34,000 Speaker 1: upset about that, and he said the media really never 485 00:28:34,040 --> 00:28:36,840 Speaker 1: focused on it, which of course they did not. Oh 486 00:28:36,840 --> 00:28:42,239 Speaker 1: they didn't. And those cell phones were in the custody 487 00:28:42,280 --> 00:28:46,640 Speaker 1: of Robert Muller Andy is special counsel, and they said 488 00:28:46,640 --> 00:28:49,120 Speaker 1: they didn't have them for months and months and months. 489 00:28:49,640 --> 00:28:53,960 Speaker 1: Suddenly they're discovered and yet they're wiped clean. So it 490 00:28:54,040 --> 00:28:57,600 Speaker 1: strikes me that Robert Muller and his team of partisans 491 00:28:58,520 --> 00:29:01,760 Speaker 1: have some questions answer on that front. I mean that's 492 00:29:01,800 --> 00:29:05,080 Speaker 1: so suspicious. I mean, here you have these iPhones that 493 00:29:05,120 --> 00:29:08,560 Speaker 1: were set back to the factory settings and and and 494 00:29:08,760 --> 00:29:12,440 Speaker 1: reconfigured for new people to use. I guess whenever they're 495 00:29:12,440 --> 00:29:17,440 Speaker 1: reissued and and this doesn't look suspicious to anyone. This 496 00:29:17,520 --> 00:29:20,920 Speaker 1: is well, it looks suspicious to me. It looks to 497 00:29:20,960 --> 00:29:23,360 Speaker 1: me like Robert Muller and Andrew Weissman and the whole 498 00:29:23,400 --> 00:29:27,040 Speaker 1: gang took a page out of the Hillary Clinton playbook. 499 00:29:28,640 --> 00:29:33,960 Speaker 1: Who you know, destroyed her devices? Yes, destroyed emails, tens 500 00:29:34,000 --> 00:29:39,440 Speaker 1: of thousands of emails, and cleaned her server uh and 501 00:29:39,560 --> 00:29:46,000 Speaker 1: devices with bleach blit bleach bit. So there's too much 502 00:29:46,000 --> 00:29:48,520 Speaker 1: of this destruction of evidence going on. And gee, I 503 00:29:48,560 --> 00:29:54,400 Speaker 1: can't find those documents. And then suddenly sanitarized versions of 504 00:29:54,480 --> 00:29:59,600 Speaker 1: the year. Yeah. So all right, so Komy round two. 505 00:30:00,720 --> 00:30:03,120 Speaker 1: Is he going to remember anything more now then he 506 00:30:03,440 --> 00:30:07,560 Speaker 1: could a week ago? No? I imagine there will be 507 00:30:07,680 --> 00:30:12,640 Speaker 1: hundreds of questions that he can't remember and doesn't know 508 00:30:12,760 --> 00:30:15,480 Speaker 1: two hundred and forty five during his first what six 509 00:30:15,560 --> 00:30:19,280 Speaker 1: and a half hour interview, think of this, The FBI 510 00:30:19,800 --> 00:30:24,480 Speaker 1: director answers, I don't remember, I don't know two hundred 511 00:30:24,480 --> 00:30:27,680 Speaker 1: and forty five times about critical matters. These are not 512 00:30:27,760 --> 00:30:32,760 Speaker 1: just ancillary tangential matters. These are principal matters. When it 513 00:30:32,800 --> 00:30:37,880 Speaker 1: came to things like the docia and when he learned 514 00:30:37,880 --> 00:30:41,360 Speaker 1: that Fusion GPS was involved in the Hillary Clinton campaign, 515 00:30:41,960 --> 00:30:44,640 Speaker 1: was involved in Glenn Simpson and all of the people 516 00:30:44,880 --> 00:30:47,200 Speaker 1: who were trying to set up Donald Trump frame him 517 00:30:47,240 --> 00:30:51,280 Speaker 1: for things he didn't do, Comey dummied up. So he 518 00:30:51,480 --> 00:30:55,240 Speaker 1: is either the most incompetent FBI director in the history 519 00:30:55,240 --> 00:31:00,400 Speaker 1: of the bureau, or he's lying and take your pick, 520 00:31:00,880 --> 00:31:05,080 Speaker 1: or maybe a little bit of both. Yeah, it could be. 521 00:31:05,720 --> 00:31:10,600 Speaker 1: But we also know today that Department of Justice lawyers 522 00:31:11,080 --> 00:31:13,440 Speaker 1: are telling him not to answer a lot of questions. 523 00:31:14,200 --> 00:31:18,680 Speaker 1: You know, the FBI and the Department of Justice are 524 00:31:18,680 --> 00:31:23,200 Speaker 1: still at it. They are still obstructing Congress, They're still 525 00:31:23,280 --> 00:31:28,480 Speaker 1: hiding and covering up their own wrongdoing. And quite honestly, 526 00:31:28,520 --> 00:31:31,239 Speaker 1: I blame Jeff Sessions for all of that. So does 527 00:31:31,360 --> 00:31:35,960 Speaker 1: Donald Trump. So DOJ. Yeah, the DOJ has been leaderless 528 00:31:37,320 --> 00:31:41,840 Speaker 1: and largely at the helm has been Rod Rosenstein, who 529 00:31:41,960 --> 00:31:45,520 Speaker 1: signed off illegally in my judgment on one of the 530 00:31:45,520 --> 00:31:49,880 Speaker 1: FISA warrants and has been doing everything he can to 531 00:31:49,960 --> 00:31:54,960 Speaker 1: prevent Congress from finding out about this illicit scheme and 532 00:31:55,040 --> 00:32:01,200 Speaker 1: all the wrongdoing by Rosenstein and Struck and Komi and others. Well, 533 00:32:01,200 --> 00:32:03,720 Speaker 1: thank you for bringing us up to date. Thanks for 534 00:32:03,760 --> 00:32:05,840 Speaker 1: all the work that you do. Your book, The Russia 535 00:32:05,880 --> 00:32:08,560 Speaker 1: Hoax is a good book and should be read by 536 00:32:08,640 --> 00:32:11,760 Speaker 1: all listening right now. The illicit scheme to clear Hillary 537 00:32:11,760 --> 00:32:14,600 Speaker 1: Clinton and frame Donald Trump. Okay, it'll be interesting to 538 00:32:14,600 --> 00:32:16,760 Speaker 1: see how things play out the rest of the week. 539 00:32:16,800 --> 00:32:19,080 Speaker 1: Greg Jarrett, thanks so much for joining us today. I 540 00:32:19,200 --> 00:32:21,720 Speaker 1: appreciate it, my pleasure. It always great talk to your rother. 541 00:32:21,840 --> 00:32:24,520 Speaker 1: I know same here, Greg, I appreciate you. All right, 542 00:32:24,560 --> 00:32:27,600 Speaker 1: So listen. You're listening to the Sean Hannity Show, and 543 00:32:27,960 --> 00:32:31,920 Speaker 1: his Twitter is at Sean Hannity. To call in numbers one, 544 00:32:31,960 --> 00:32:34,640 Speaker 1: eight hundred and nine for one Sean. My name is Rose. 545 00:32:34,720 --> 00:32:38,000 Speaker 1: Check me out on Twitter at Rose Underscore Unplugged, Facebook 546 00:32:38,040 --> 00:32:41,000 Speaker 1: and website Rose Unplugged. All right, we'll be back with 547 00:32:41,080 --> 00:32:43,200 Speaker 1: lots more of the Shawn Hannity Show coming up, and 548 00:32:43,200 --> 00:32:45,720 Speaker 1: we'll take your phone calls and lots more to talk about, 549 00:32:45,960 --> 00:32:49,200 Speaker 1: so stick around. Welcome back to the Sean Hannity Show. 550 00:32:49,240 --> 00:32:51,360 Speaker 1: We're going to take your calls at one eight hundred 551 00:32:51,360 --> 00:32:54,680 Speaker 1: and nine four one Sean. You can check Sean out 552 00:32:54,760 --> 00:32:59,200 Speaker 1: on Twitter. It's at Sean Hannity. I'm at Rose Underscore Unplugged. 553 00:32:59,680 --> 00:33:02,360 Speaker 1: Join me next hour, Laura Trump and then after that, 554 00:33:02,480 --> 00:33:04,880 Speaker 1: Katie Hopkins some really good stuff coming up. We'll take 555 00:33:04,880 --> 00:33:10,840 Speaker 1: a quick call from Joanna. Joanna, what's up? It just 556 00:33:10,880 --> 00:33:13,520 Speaker 1: makes me so angry because we know there were texting 557 00:33:13,840 --> 00:33:18,440 Speaker 1: and different information on pages Strokestone. Now they're white clean, 558 00:33:19,040 --> 00:33:22,720 Speaker 1: and why isn't someone stepping up and doing something. I mean, 559 00:33:23,000 --> 00:33:25,760 Speaker 1: it's outrageous. Well, you know, joe Anne, let me say 560 00:33:25,800 --> 00:33:27,320 Speaker 1: this because I only have a little bit of time, 561 00:33:27,320 --> 00:33:30,320 Speaker 1: but you are I understand your frustration, and it's wrong 562 00:33:30,400 --> 00:33:32,760 Speaker 1: and why are we allowing them to get away with this? 563 00:33:32,880 --> 00:33:36,160 Speaker 1: But think about this, Had Trump not taken office, the 564 00:33:36,320 --> 00:33:40,000 Speaker 1: swamp wouldn't have been as fully exposed as it has been. 565 00:33:40,280 --> 00:33:42,960 Speaker 1: And we've got great people like Greg Jarrett writing about it, 566 00:33:43,040 --> 00:33:47,000 Speaker 1: Andrew McCarthy who are really on top of it, thank god, 567 00:33:47,400 --> 00:33:49,480 Speaker 1: and our representatives too. There are a lot of them 568 00:33:49,520 --> 00:33:51,800 Speaker 1: on the Hill that have had to do so much work. 569 00:33:51,840 --> 00:33:53,520 Speaker 1: I mean, this is a lot to follow through on 570 00:33:53,920 --> 00:33:55,600 Speaker 1: but I think they're doing a good job of it. 571 00:33:55,920 --> 00:33:57,400 Speaker 1: I don't know how it's all going to play out 572 00:33:57,440 --> 00:33:59,320 Speaker 1: in the end, but this I'll tell you, if it 573 00:33:59,360 --> 00:34:02,280 Speaker 1: weren't for none of this kind of thought stuff would 574 00:34:02,280 --> 00:34:05,320 Speaker 1: be exposed. So thank God for that anyway. But yeah, 575 00:34:05,320 --> 00:34:09,160 Speaker 1: it's like, it's very frustrating to watch, very disappointing. It 576 00:34:09,200 --> 00:34:13,359 Speaker 1: really is. Hey, welcome back to the Sean Hannity Show. 577 00:34:13,440 --> 00:34:16,960 Speaker 1: My name is Rose. You can check Sean out on Twitter. 578 00:34:17,000 --> 00:34:22,120 Speaker 1: It's at Sean Hannity. My Twitter is at Rose Underscore Unplugged, 579 00:34:22,400 --> 00:34:24,200 Speaker 1: and also you can check me out on Facebook It's 580 00:34:24,280 --> 00:34:27,040 Speaker 1: Rose Unplugged. And I have a lot of my interviews 581 00:34:27,120 --> 00:34:30,760 Speaker 1: and podcasts at Rose unplugged dot com. The show number 582 00:34:31,080 --> 00:34:34,560 Speaker 1: today eight hundred nine four one SEWN, same as every 583 00:34:34,600 --> 00:34:37,440 Speaker 1: day one, eight hundred and nine four one SEAWN. I 584 00:34:37,480 --> 00:34:41,000 Speaker 1: am taking calls. At the half hour. Laura Trump is 585 00:34:41,080 --> 00:34:43,080 Speaker 1: joining us. We're gonna talk about Melania. We're gonna talk 586 00:34:43,080 --> 00:34:45,680 Speaker 1: about how they vote, shame women if they don't vote 587 00:34:45,680 --> 00:34:48,400 Speaker 1: for Hillary. I mean, there's a lot to talk about. 588 00:34:48,440 --> 00:34:50,880 Speaker 1: She's a lovely lady. I really enjoyed working with her 589 00:34:50,960 --> 00:34:55,839 Speaker 1: husband during the twenty sixteen presidential election and looking forward 590 00:34:55,880 --> 00:35:00,160 Speaker 1: to having her on the show today. Also, let's go 591 00:35:00,200 --> 00:35:02,680 Speaker 1: to let's finish up on the whole judicial system and 592 00:35:03,719 --> 00:35:06,719 Speaker 1: do that with Linda calling from Utah. Hey Linda, how 593 00:35:06,760 --> 00:35:13,720 Speaker 1: are you? I'm good? How are you well? Thank you? 594 00:35:13,719 --> 00:35:17,359 Speaker 1: You wanted to talk about our time? Come? Okay? Hello? Yes, 595 00:35:17,440 --> 00:35:21,120 Speaker 1: go ahead. The reason I'm calling this because I've listened 596 00:35:21,200 --> 00:35:23,600 Speaker 1: to Sean and to all of these speakers for a 597 00:35:23,600 --> 00:35:26,480 Speaker 1: long time, but I've frustrated. I'm a seventy one year 598 00:35:26,520 --> 00:35:30,640 Speaker 1: old born and raised American citizen, so sees this country 599 00:35:30,719 --> 00:35:34,680 Speaker 1: going down the tube. And I've watched this two tier 600 00:35:34,800 --> 00:35:37,880 Speaker 1: justice system for a long time, seeing the Democrats and 601 00:35:38,000 --> 00:35:41,239 Speaker 1: the extra ultra wealthy be able to get away with 602 00:35:41,320 --> 00:35:43,160 Speaker 1: things that you and I would never be able to 603 00:35:43,160 --> 00:35:46,319 Speaker 1: get away with us right, But now it feels like 604 00:35:46,400 --> 00:35:50,040 Speaker 1: it's worse than ever, And we now have a three 605 00:35:50,080 --> 00:35:53,759 Speaker 1: tier justice system that's one for the wealthy and the rich, 606 00:35:53,840 --> 00:35:57,359 Speaker 1: the famous, and the Democrats and the left, and then 607 00:35:57,600 --> 00:36:00,799 Speaker 1: one for the illegals, and then system for all the 608 00:36:00,840 --> 00:36:02,800 Speaker 1: rest of us who have to live by the law, 609 00:36:03,160 --> 00:36:06,080 Speaker 1: and none of them have to. When are we going 610 00:36:06,120 --> 00:36:09,640 Speaker 1: to say something change? When are these people in the 611 00:36:09,760 --> 00:36:13,239 Speaker 1: justice system, theself who have broken the law. What are 612 00:36:13,239 --> 00:36:16,520 Speaker 1: you thinking of, Samplin? Well you I think you, Linda, 613 00:36:16,600 --> 00:36:18,040 Speaker 1: by the way, for your phone call, and you would 614 00:36:18,040 --> 00:36:21,840 Speaker 1: hope that we would see this justice being done in 615 00:36:21,880 --> 00:36:25,000 Speaker 1: the justice system. And I was reading something earlier in 616 00:36:25,080 --> 00:36:29,040 Speaker 1: town Hall was Kurt Schlichter and or Schlichter. I think 617 00:36:29,040 --> 00:36:31,240 Speaker 1: it's how you say, Kurt Schlichter. I like this guy always. 618 00:36:31,280 --> 00:36:33,560 Speaker 1: I follow him on Twitter as well, but he was 619 00:36:33,719 --> 00:36:36,799 Speaker 1: he wrote that pardon everybody except the rat Cohen, which 620 00:36:36,800 --> 00:36:38,920 Speaker 1: I actually agree with. But one of the things he 621 00:36:39,000 --> 00:36:42,080 Speaker 1: said about the justice system, he said, let's stop pretending 622 00:36:42,160 --> 00:36:46,160 Speaker 1: that America in twenty eighteen has a justice system. It's 623 00:36:46,239 --> 00:36:50,000 Speaker 1: not a justice system. It's a set of elite institutions 624 00:36:50,120 --> 00:36:53,720 Speaker 1: that swing the law like a sledgehammer to crush threats 625 00:36:53,760 --> 00:36:57,319 Speaker 1: to the ruling classes monopoly on power. And you know, 626 00:36:57,440 --> 00:37:01,600 Speaker 1: that's exactly what's happening right now, and it is difficult 627 00:37:01,640 --> 00:37:06,359 Speaker 1: to watch, but it's become so corrupt. And I'll say again, Linda, 628 00:37:06,440 --> 00:37:09,680 Speaker 1: you know, would we have known just how corrupt it's 629 00:37:09,760 --> 00:37:15,200 Speaker 1: become and how myery and deep the swamp that is Washington, 630 00:37:15,320 --> 00:37:18,840 Speaker 1: d C. Had it not been for Donald Trump. So 631 00:37:19,160 --> 00:37:22,160 Speaker 1: in many ways. It's I'm sure Trump doesn't feel this way, 632 00:37:22,160 --> 00:37:24,560 Speaker 1: but it's been a blessing for us to have all 633 00:37:24,600 --> 00:37:27,480 Speaker 1: of this exposed. And I feel bad, if I'll take 634 00:37:27,520 --> 00:37:32,360 Speaker 1: real quick, Susan, who's calling from Roanoke, Virginia. I feel 635 00:37:32,360 --> 00:37:35,239 Speaker 1: bad for people like Flynn. So I agree with Kurt. 636 00:37:35,280 --> 00:37:36,840 Speaker 1: He said, you know, pardon them all except for the 637 00:37:36,920 --> 00:37:41,719 Speaker 1: rat Cohen. I'm right there with him, Susan. Go ahead, yeah, Hi, 638 00:37:41,840 --> 00:37:45,040 Speaker 1: thank you for taking my fall. I think we should 639 00:37:45,080 --> 00:37:50,560 Speaker 1: have a rally tomorrow to support Michael Flynn. If we're 640 00:37:50,560 --> 00:37:55,359 Speaker 1: having rallies for everything else that's an American, how much 641 00:37:55,440 --> 00:38:00,480 Speaker 1: more American is this that worth apart supporting whenever general? 642 00:38:00,920 --> 00:38:05,359 Speaker 1: I mean, he did a lifetime of service, and you know, 643 00:38:05,640 --> 00:38:09,879 Speaker 1: let's America back him up. Well, you know, and there's 644 00:38:10,080 --> 00:38:13,400 Speaker 1: a lot of people all over our rallying for Flynn, 645 00:38:13,520 --> 00:38:15,640 Speaker 1: and he is very well liked by so many. I 646 00:38:15,719 --> 00:38:17,640 Speaker 1: ran into him a couple of months ago with a 647 00:38:17,640 --> 00:38:19,880 Speaker 1: few other people. We all had dinner together, and his 648 00:38:19,920 --> 00:38:22,719 Speaker 1: wife was there and lovely lady. I like her very much. 649 00:38:22,960 --> 00:38:26,759 Speaker 1: But he's I personally like Flynn. I just I like him. 650 00:38:26,840 --> 00:38:29,080 Speaker 1: I really do. I know his son, I like his son. 651 00:38:29,480 --> 00:38:32,359 Speaker 1: But I think people have been rallying for Flynn, and 652 00:38:32,719 --> 00:38:36,680 Speaker 1: I think I'm very hopeful that he's going to get 653 00:38:36,680 --> 00:38:38,680 Speaker 1: through this. All right, I really am, Susan. Thanks for 654 00:38:38,719 --> 00:38:41,960 Speaker 1: your call. You know, did you guys hear this one? 655 00:38:42,000 --> 00:38:47,800 Speaker 1: Stand by Greg? This is after twenty years, Elizabeth Warren 656 00:38:48,000 --> 00:38:51,560 Speaker 1: is coming clean. Okay. She was speaking to the graduates 657 00:38:51,680 --> 00:38:54,719 Speaker 1: at Morgan State University and this is what she had 658 00:38:54,760 --> 00:38:57,120 Speaker 1: to say to them. I'm not a person of color, 659 00:38:57,640 --> 00:39:01,960 Speaker 1: and I haven't lived your life or experienced anything like 660 00:39:02,600 --> 00:39:06,640 Speaker 1: the subtle prejudice or more overt harror that you may 661 00:39:06,680 --> 00:39:10,680 Speaker 1: have experienced just because of the color of your skin. Okay, 662 00:39:11,000 --> 00:39:13,680 Speaker 1: so she's not a person of color. Now, this is 663 00:39:13,680 --> 00:39:18,080 Speaker 1: twenty years after the Fordham Law Review build worn as 664 00:39:18,320 --> 00:39:21,799 Speaker 1: Harvard Law School's first woman of color based on what 665 00:39:22,120 --> 00:39:26,800 Speaker 1: information she gave them so she could think she'd avoid 666 00:39:26,880 --> 00:39:30,279 Speaker 1: the subject, right, I mean, especially after the DNA fiasco. 667 00:39:30,960 --> 00:39:33,440 Speaker 1: Remember how she ticked off her party with her timing 668 00:39:34,000 --> 00:39:39,560 Speaker 1: right before the mid term election. They were so frustrated 669 00:39:39,600 --> 00:39:42,480 Speaker 1: and angry with her, and it was a fiasco, it 670 00:39:42,480 --> 00:39:47,480 Speaker 1: really was. And then this on Friday, Alexandria Okazio Cortez 671 00:39:48,000 --> 00:39:52,120 Speaker 1: lashed out at Senator Lindsey Graham on Twitter. She suggested 672 00:39:52,160 --> 00:39:55,080 Speaker 1: that he reversed his stance on the standards that are 673 00:39:55,120 --> 00:39:58,440 Speaker 1: necessary to impeach a president. She tweeted a Daily Beast 674 00:39:58,560 --> 00:40:01,400 Speaker 1: story that quoted graham is saying that he was fine 675 00:40:01,880 --> 00:40:05,760 Speaker 1: with President Trump lying about sex, and then she added 676 00:40:06,000 --> 00:40:08,759 Speaker 1: didn't he impeach Bill Clinton over the same thing? And 677 00:40:09,760 --> 00:40:12,720 Speaker 1: then she also wrote, Senator Graham himself established a standard 678 00:40:12,760 --> 00:40:15,839 Speaker 1: that demands Trump's impeachment. Okay, here's the problem with that. 679 00:40:16,480 --> 00:40:19,879 Speaker 1: He voted against the article of impeachment. Additionally, I guess 680 00:40:19,920 --> 00:40:21,759 Speaker 1: now would be a really good time to remind her 681 00:40:21,800 --> 00:40:25,680 Speaker 1: that Clinton was impeached after being accused of lying under 682 00:40:25,719 --> 00:40:31,600 Speaker 1: oath to a federal grand jury and obstructing justice. And listen, 683 00:40:31,640 --> 00:40:34,600 Speaker 1: when you hear these people say these things, you got 684 00:40:34,600 --> 00:40:38,040 Speaker 1: to ask yourself, how many misstatements, how many factual and 685 00:40:38,080 --> 00:40:40,480 Speaker 1: accuracies that's a nice word for something else, must we 686 00:40:40,680 --> 00:40:44,839 Speaker 1: correct before they're finally embarrassed. I mean, in this case, 687 00:40:44,880 --> 00:40:48,680 Speaker 1: I'm embarrassed for her, and the Left is never embarrassed. 688 00:40:48,680 --> 00:40:51,759 Speaker 1: They seem like they have no shame, And I think 689 00:40:51,760 --> 00:40:54,879 Speaker 1: it's because they think that a lot of their constituents 690 00:40:54,880 --> 00:40:56,759 Speaker 1: are stupid. I mean, it's got to be that, right, 691 00:40:57,800 --> 00:41:00,640 Speaker 1: And I'll tell you something. They've got an entire educational 692 00:41:00,680 --> 00:41:03,960 Speaker 1: system that's helping to make sure that they stay stupid. 693 00:41:05,400 --> 00:41:08,640 Speaker 1: And since we're on the subject of stupid, there was 694 00:41:08,680 --> 00:41:12,360 Speaker 1: a poll that was done that found twenty seven percent 695 00:41:12,480 --> 00:41:19,200 Speaker 1: of the people were dissatisfied with Santa's gender. It's true, 696 00:41:19,840 --> 00:41:23,480 Speaker 1: they think Santa should be female or even better better 697 00:41:23,520 --> 00:41:28,239 Speaker 1: than that, gender neutral. Yep, and this comes out of 698 00:41:28,280 --> 00:41:32,040 Speaker 1: CBS Pittsburgh. They reported that a graphic Springs logo design 699 00:41:32,080 --> 00:41:37,120 Speaker 1: company surveyed hundreds to rebrand Santa and give them a 700 00:41:37,160 --> 00:41:40,000 Speaker 1: more I don't know, a more modern look. I guess, right, 701 00:41:41,000 --> 00:41:46,000 Speaker 1: why the heck would we want to rebrand Santa Santa 702 00:41:46,160 --> 00:41:50,080 Speaker 1: or Saint Nick has been around for hundreds of years, 703 00:41:50,160 --> 00:41:55,080 Speaker 1: and now suddenly we need to rebrand Santa. So apparently, 704 00:41:55,120 --> 00:41:58,600 Speaker 1: according to this story, the survey questioned around four hundred 705 00:41:58,600 --> 00:42:02,200 Speaker 1: people from the States and the United Kingdom, and then 706 00:42:02,600 --> 00:42:06,359 Speaker 1: then after they surveyed them and questioned them, they had 707 00:42:06,400 --> 00:42:09,400 Speaker 1: another survey for four thousand people and asked them to 708 00:42:09,520 --> 00:42:12,960 Speaker 1: vote on the most popular version of the Santa that 709 00:42:13,000 --> 00:42:18,399 Speaker 1: they designed. From the survey, and I give you the 710 00:42:18,480 --> 00:42:24,480 Speaker 1: modern Santa. He has tattoos, a trimmed beard, it's very stylish, 711 00:42:25,040 --> 00:42:31,040 Speaker 1: skinny jeans, sneakers, a hoverboard people still use those, and 712 00:42:31,080 --> 00:42:35,359 Speaker 1: a hoverboard. Yeah, and he's tech savvy and looks like 713 00:42:35,400 --> 00:42:37,520 Speaker 1: he could really just be on the cover of any 714 00:42:37,600 --> 00:42:41,359 Speaker 1: GQ magazine. Yeah, that's what That's what they came up 715 00:42:41,400 --> 00:42:44,279 Speaker 1: with after that survey found that twenty seven percent of 716 00:42:44,320 --> 00:42:48,200 Speaker 1: people that were asked would reband rebrand Santa Claus as 717 00:42:48,239 --> 00:42:53,200 Speaker 1: a woman or gender neutral. If you ask me, the 718 00:42:53,400 --> 00:42:57,239 Speaker 1: really PC Santa would be a social justice warrior. I mean, 719 00:42:57,280 --> 00:42:59,960 Speaker 1: if we really want to get PC about it, social 720 00:43:00,200 --> 00:43:03,840 Speaker 1: justice warrior. He comes down your chimney, takes your presence 721 00:43:03,920 --> 00:43:06,479 Speaker 1: and gives them to someone who deserves them a lot 722 00:43:06,520 --> 00:43:10,160 Speaker 1: more than you do. They didn't ask that question, did they. 723 00:43:10,320 --> 00:43:13,200 Speaker 1: You're listening to the Sean Hannity Show. My name is Rose. 724 00:43:13,640 --> 00:43:15,799 Speaker 1: You can call the show at one eight hundred nine 725 00:43:15,880 --> 00:43:18,839 Speaker 1: four one Sean. Check me out on Twitter. It's at 726 00:43:18,920 --> 00:43:23,000 Speaker 1: Rose Underscore Unplugged. My Facebook and my website are Rose 727 00:43:23,120 --> 00:43:27,160 Speaker 1: Unplugged and coming up this hour Laura Trump and I'll 728 00:43:27,160 --> 00:43:29,640 Speaker 1: take your phone calls as well. So thanks for joining me. 729 00:43:29,680 --> 00:43:32,600 Speaker 1: We'll be back with Moura right after this. Hey, we're back. 730 00:43:32,760 --> 00:43:36,680 Speaker 1: It's the Sean Hannity Show. You can call the show. 731 00:43:36,680 --> 00:43:40,120 Speaker 1: It's eight hundred nine four one Sean. That's eight hundred 732 00:43:40,320 --> 00:43:44,760 Speaker 1: nine four one Sean. And Sean's Twitter is at Sean Hannity. 733 00:43:44,880 --> 00:43:48,680 Speaker 1: Mine is at Rose Underscore Unplugged, and you can check 734 00:43:48,719 --> 00:43:51,319 Speaker 1: me out also on the web at Rose unplug dot 735 00:43:51,360 --> 00:43:54,560 Speaker 1: com and Facebook Rose Unplugged. We can take a couple 736 00:43:54,600 --> 00:43:56,279 Speaker 1: of your phone calls coming up at the half hour. 737 00:43:56,440 --> 00:44:01,680 Speaker 1: Laura Trump, Okay, how about Alan, North Carolina? How are 738 00:44:01,719 --> 00:44:07,359 Speaker 1: you today? Ellen? Oh Rose, how are you good? I'm 739 00:44:07,360 --> 00:44:09,960 Speaker 1: doing good too. I'm driving through Illinois right now, but 740 00:44:10,040 --> 00:44:12,200 Speaker 1: I was listening to your show and I thought i'd 741 00:44:12,200 --> 00:44:15,400 Speaker 1: call and uh, trying to remind some people that, you know, 742 00:44:15,520 --> 00:44:18,200 Speaker 1: Trump is not just fighting the Democrats. Remember, he's fighting 743 00:44:18,200 --> 00:44:21,520 Speaker 1: the Republicans too. A lot of Republicans strut around out 744 00:44:21,560 --> 00:44:24,279 Speaker 1: there like becoms, thinking they got something done. They've got 745 00:44:24,360 --> 00:44:27,080 Speaker 1: nothing done. If it wasn't for Donald Trump, we would 746 00:44:27,080 --> 00:44:30,600 Speaker 1: still be where we were with with Republicans up there 747 00:44:30,600 --> 00:44:34,680 Speaker 1: getting nothing done, fighting nobody doing nothing. Donald Trump, we 748 00:44:34,719 --> 00:44:37,400 Speaker 1: don't have a third party in this country. It should 749 00:44:37,400 --> 00:44:40,120 Speaker 1: be like the Democrats, the Republicans and the deplorables. Because 750 00:44:40,239 --> 00:44:45,520 Speaker 1: they offered it. I'd be a registered deplorable tomorrow. That's hilarious. 751 00:44:45,680 --> 00:44:47,480 Speaker 1: But you know what I mean. It is the truth, 752 00:44:47,640 --> 00:44:50,520 Speaker 1: isn't it, Allen? I mean, this guy, he who would 753 00:44:50,560 --> 00:44:53,439 Speaker 1: have thought that he would have been up against so much, 754 00:44:53,520 --> 00:44:56,160 Speaker 1: even from his own party, as you mentioned, And he 755 00:44:56,239 --> 00:44:59,200 Speaker 1: has been and he's held his own God bless him. 756 00:44:59,200 --> 00:45:01,719 Speaker 1: And I gotta tell you, out of all of the candidates, 757 00:45:01,760 --> 00:45:04,520 Speaker 1: all of those people running for this office on the 758 00:45:04,560 --> 00:45:07,640 Speaker 1: GOP side, I don't think any of them could have 759 00:45:07,680 --> 00:45:12,799 Speaker 1: withstood the amount of criticism, the corruption, the attempts to 760 00:45:13,000 --> 00:45:15,879 Speaker 1: just bring him down like he has. Honestly, I don't 761 00:45:15,880 --> 00:45:18,040 Speaker 1: think anyone else could have done that and could have 762 00:45:18,080 --> 00:45:20,520 Speaker 1: withstood it. I think that it took a certain kind 763 00:45:20,520 --> 00:45:23,080 Speaker 1: of person, and I think because of the person he is. 764 00:45:23,440 --> 00:45:26,400 Speaker 1: Now we're having this, you know, real close up. Look 765 00:45:26,440 --> 00:45:31,320 Speaker 1: at the swamp, and my god, it's ugly there, it's murky, 766 00:45:31,520 --> 00:45:35,120 Speaker 1: it's gross. And if it hadn't been Trump, I'm not 767 00:45:35,160 --> 00:45:37,560 Speaker 1: sure we would have seen it. And he's standing his 768 00:45:37,600 --> 00:45:41,000 Speaker 1: own despite everything that's been thrown at him, despite a 769 00:45:41,200 --> 00:45:44,400 Speaker 1: media that hates him, and as you said, some in 770 00:45:44,480 --> 00:45:47,560 Speaker 1: his own party who refused to support him. There are 771 00:45:47,560 --> 00:45:49,719 Speaker 1: a couple that will not be back. And I say, 772 00:45:50,120 --> 00:45:54,600 Speaker 1: see a good riddance, because this is just honestly, it's 773 00:45:54,640 --> 00:45:57,879 Speaker 1: been so for two years, he's withstood it. And in 774 00:45:57,920 --> 00:46:00,520 Speaker 1: those two years, as I mentioned in the beginning, in 775 00:46:00,560 --> 00:46:03,360 Speaker 1: those two years, at the beginning of the show, we 776 00:46:03,400 --> 00:46:06,799 Speaker 1: went through all of his accomplishments, you know, and it's 777 00:46:06,880 --> 00:46:09,799 Speaker 1: astounding to me that he just didn't back down. He 778 00:46:09,880 --> 00:46:12,560 Speaker 1: really didn't. And I think at two hundred and eighty 779 00:46:12,640 --> 00:46:17,279 Speaker 1: nine accomplishments and an eighteen different categories, and he had 780 00:46:17,360 --> 00:46:20,799 Speaker 1: major wins, even some smaller victories, but they were all victories, 781 00:46:21,120 --> 00:46:24,239 Speaker 1: they were all good. So Allan, Yeah, I mean, I mean, 782 00:46:24,280 --> 00:46:26,479 Speaker 1: I agree with you. I mean, he's holding his own 783 00:46:27,000 --> 00:46:29,280 Speaker 1: and there are a bunch of Republicans that just aren't 784 00:46:29,280 --> 00:46:33,239 Speaker 1: there for him and haven't been. How things change as 785 00:46:33,280 --> 00:46:36,000 Speaker 1: we go into his third year of this first term. 786 00:46:36,040 --> 00:46:38,600 Speaker 1: But thanks Ellen for your phone call. I appreciate it. 787 00:46:39,600 --> 00:46:44,560 Speaker 1: Oh so, Catherine California, how are you, Catherine Hiro Thanks 788 00:46:44,560 --> 00:46:47,839 Speaker 1: for taking my call. One of the things that just 789 00:46:48,160 --> 00:46:51,799 Speaker 1: really upsets me, irritates me, is that the fact that 790 00:46:51,920 --> 00:46:55,960 Speaker 1: these people on TV, I mean on every channel they 791 00:46:56,000 --> 00:47:00,040 Speaker 1: have legal advisors that are outright line to people and 792 00:47:00,080 --> 00:47:03,839 Speaker 1: their outright lying. And you hear Dershowitz, who's Democrat, and 793 00:47:03,880 --> 00:47:07,080 Speaker 1: then you hear these people and I don't actively turn 794 00:47:07,160 --> 00:47:09,160 Speaker 1: on the TV and watch them, but I hear quotes 795 00:47:09,239 --> 00:47:13,600 Speaker 1: from them on on other radio stations, and I it's like, 796 00:47:13,640 --> 00:47:15,840 Speaker 1: they're ready. They should go pick up Trump now and 797 00:47:15,880 --> 00:47:18,480 Speaker 1: put them in jail for treat them. I mean, they 798 00:47:18,600 --> 00:47:23,839 Speaker 1: actually are stating things that are unfactual and people believe it. 799 00:47:24,280 --> 00:47:27,319 Speaker 1: And then I, you know, I and everyone else that 800 00:47:27,480 --> 00:47:30,920 Speaker 1: actually do research and note the facts have to deal 801 00:47:30,960 --> 00:47:35,040 Speaker 1: with these people, especially in California. I mean, it's unbelievable. 802 00:47:35,320 --> 00:47:38,640 Speaker 1: You know what you have bad but part of California, 803 00:47:39,239 --> 00:47:42,960 Speaker 1: San Diego, oh yeah, you know, I got to tell you. 804 00:47:43,000 --> 00:47:46,040 Speaker 1: And then Dershowitz. I have so much respect for Democrats 805 00:47:46,080 --> 00:47:49,720 Speaker 1: like Dershowitz who just are being honest. They're not trying 806 00:47:49,760 --> 00:47:53,000 Speaker 1: to they don't have an agenda, there's no narrative that 807 00:47:53,040 --> 00:47:56,240 Speaker 1: they need to stick to, and they're just being honest. 808 00:47:56,320 --> 00:47:59,360 Speaker 1: And I think so many people appreciate that, and honestly, 809 00:47:59,400 --> 00:48:01,920 Speaker 1: that's all that all of us ever want Look, you know, 810 00:48:02,239 --> 00:48:06,799 Speaker 1: when when Republicans are doing something wrong, actually, actually it's 811 00:48:06,840 --> 00:48:08,759 Speaker 1: those of us on the right who are willing to 812 00:48:08,800 --> 00:48:11,880 Speaker 1: point out the wrongness of someone the right and we 813 00:48:12,000 --> 00:48:14,960 Speaker 1: But the Democrats, man, they stand by each and every 814 00:48:14,960 --> 00:48:18,560 Speaker 1: one of their associates. They don't they don't throw them 815 00:48:18,600 --> 00:48:22,279 Speaker 1: under the bus ever. But even even when they legitimately 816 00:48:22,680 --> 00:48:26,479 Speaker 1: could expose something, they won't. But you don't really see 817 00:48:26,480 --> 00:48:29,200 Speaker 1: that on the right legally get away with it. That's 818 00:48:29,239 --> 00:48:31,960 Speaker 1: where I don't understand. I was hoping that Greg Jarrett 819 00:48:31,960 --> 00:48:34,000 Speaker 1: was still long because I wanted to ask them, how 820 00:48:34,040 --> 00:48:37,239 Speaker 1: can they legally lie over and over again? I mean 821 00:48:37,600 --> 00:48:41,200 Speaker 1: they're not just atoralizing, you know, their opinion or speaking 822 00:48:41,280 --> 00:48:44,760 Speaker 1: from something that they've occurred or read. They actually lie. 823 00:48:45,239 --> 00:48:47,360 Speaker 1: I mean, you don't you know what I'm saying. And 824 00:48:48,920 --> 00:48:51,640 Speaker 1: these are these are these are journeys to the they're 825 00:48:51,800 --> 00:48:56,080 Speaker 1: legal advisors for these channels. And that I don't get. 826 00:48:56,239 --> 00:49:00,160 Speaker 1: And I think, Catherine m the just the corruption just 827 00:49:00,520 --> 00:49:03,920 Speaker 1: it goes so deep and it's it's bleak. And I 828 00:49:04,280 --> 00:49:07,200 Speaker 1: think that what you're sharing right now, the feeling that 829 00:49:07,239 --> 00:49:10,920 Speaker 1: you have right now as where's the justice here? I 830 00:49:10,920 --> 00:49:13,759 Speaker 1: think it's shared by so many in this country. I 831 00:49:13,760 --> 00:49:15,560 Speaker 1: think a lot of people feel the same way. They 832 00:49:15,600 --> 00:49:18,920 Speaker 1: really do. Thanks for your call, Katherine, I appreciate it. 833 00:49:19,000 --> 00:49:22,000 Speaker 1: You are listening to the Sean Hannity Show, and the 834 00:49:22,040 --> 00:49:25,320 Speaker 1: phone number here is eight hundred nine four one, Sean 835 00:49:25,840 --> 00:49:29,160 Speaker 1: eight hundred nine four one Sean Joining me Next is 836 00:49:29,239 --> 00:49:31,440 Speaker 1: Laura Trump. I can't wait to talk to her. I 837 00:49:31,960 --> 00:49:34,960 Speaker 1: really want to talk about flotis I love. I love 838 00:49:35,000 --> 00:49:37,319 Speaker 1: our first lady, I really do. And a couple of 839 00:49:37,320 --> 00:49:40,760 Speaker 1: other things too. Just vote shaming women because they supported Trump? 840 00:49:41,480 --> 00:49:44,880 Speaker 1: You know what happened to feminism? What happened to encouraging 841 00:49:44,920 --> 00:49:47,680 Speaker 1: women to stand their ground and do their thing? You 842 00:49:47,680 --> 00:49:50,680 Speaker 1: know what a fail if that's something we're not permitted 843 00:49:50,719 --> 00:49:53,440 Speaker 1: to do now again suddenly, so she'll be joining us. 844 00:49:53,520 --> 00:49:56,440 Speaker 1: Check me out on Twitter. It's at Rose Underscore, Unplugged. 845 00:49:56,600 --> 00:50:00,840 Speaker 1: Hannity's is at Hannity. Oh I'm sorry at Sean Hannity. 846 00:50:01,080 --> 00:50:03,640 Speaker 1: And again a special thanks to Linda, Ethan and Greg 847 00:50:03,719 --> 00:50:05,880 Speaker 1: for all that they're doing today. I appreciate it, and 848 00:50:05,920 --> 00:50:08,279 Speaker 1: thanks to Sean of course for allowing me to do 849 00:50:08,360 --> 00:50:32,919 Speaker 1: the show. Stay in touch with a Hannity faithful Join 850 00:50:33,040 --> 00:50:37,799 Speaker 1: the messageboard at hannity dot com. Welcome back to the 851 00:50:37,800 --> 00:50:40,880 Speaker 1: Sean Hannity Show. My name is Rose. You can call in. 852 00:50:40,960 --> 00:50:43,160 Speaker 1: We'll take calls in a little while. It's eight hundred 853 00:50:43,239 --> 00:50:45,719 Speaker 1: nine four one sewn eight hundred and nine four one. 854 00:50:45,760 --> 00:50:48,799 Speaker 1: Sean joining me today, and I'm really excited about this 855 00:50:48,960 --> 00:50:52,840 Speaker 1: is the senior adviser for President Donald Trump's twenty twenty 856 00:50:53,080 --> 00:50:56,680 Speaker 1: reelection campaign, as well as the wife of Eric Trump. 857 00:50:56,800 --> 00:51:00,719 Speaker 1: Please welcome, Laura Trump. How are you hi? Thanks so 858 00:51:00,800 --> 00:51:02,880 Speaker 1: much for having me Rose. Oh, I'm so glad to 859 00:51:02,880 --> 00:51:05,400 Speaker 1: have you. You know, I had the honor of meeting 860 00:51:05,400 --> 00:51:09,000 Speaker 1: and working with your husband quite often during the last 861 00:51:09,000 --> 00:51:13,160 Speaker 1: presidential campaign and set up an office actually for President 862 00:51:13,239 --> 00:51:16,959 Speaker 1: Trump in our area. And I just really enjoyed Eric. 863 00:51:17,000 --> 00:51:20,760 Speaker 1: He's amazing to me. He remembers people's names, he remembers 864 00:51:20,800 --> 00:51:23,640 Speaker 1: at kitts of information about that. I thought, God, a 865 00:51:23,680 --> 00:51:27,640 Speaker 1: good one, isn't he? Yeah you did all right, girl? Yeah? 866 00:51:27,680 --> 00:51:30,759 Speaker 1: I agree. I agree. He's the best. And honestly that 867 00:51:30,760 --> 00:51:34,040 Speaker 1: that's actually characteristic of everyone in the Trump family that 868 00:51:34,080 --> 00:51:38,279 Speaker 1: I've ever met. Too many people's surprise. So I'm very 869 00:51:38,360 --> 00:51:40,640 Speaker 1: lucky to have married into this great family. Oh, I'm 870 00:51:40,640 --> 00:51:42,239 Speaker 1: glad to hear that. Yeah, that was one of the 871 00:51:42,280 --> 00:51:45,440 Speaker 1: things I was struck by when I first met President Trump. 872 00:51:45,440 --> 00:51:48,200 Speaker 1: As a matter of fact, he was here in Pittsburgh 873 00:51:48,200 --> 00:51:51,799 Speaker 1: with Sean Hannity and they put together this town hall 874 00:51:52,080 --> 00:51:54,239 Speaker 1: and there were thousands of people in the audience, and 875 00:51:54,280 --> 00:51:57,400 Speaker 1: I was on stage with them, and Sean was introducing me, 876 00:51:57,440 --> 00:51:59,960 Speaker 1: and we were talking about the Pennsylvania primaries, which is 877 00:52:00,800 --> 00:52:05,319 Speaker 1: so convoluted, but anyway, we were discussing that. And now 878 00:52:05,400 --> 00:52:09,040 Speaker 1: President Trump was completely focused, even though there were thousands 879 00:52:09,080 --> 00:52:11,840 Speaker 1: of people all around us. As I was explaining the 880 00:52:11,880 --> 00:52:14,720 Speaker 1: process to him, he had his eyes him on my eyes, 881 00:52:14,840 --> 00:52:18,479 Speaker 1: and he was responding and asking questions. And I thought, 882 00:52:18,520 --> 00:52:21,160 Speaker 1: good God, that I you know, because in this business 883 00:52:21,239 --> 00:52:23,600 Speaker 1: you meet a lot of people who are worried about 884 00:52:23,640 --> 00:52:25,479 Speaker 1: who might be coming up to talk to them next, 885 00:52:25,560 --> 00:52:27,960 Speaker 1: or who else is in the crowd. That wasn't Donald 886 00:52:28,000 --> 00:52:31,200 Speaker 1: Trump at all. No. And actually I tell a story 887 00:52:31,200 --> 00:52:33,600 Speaker 1: all the time about the first time that I ever 888 00:52:33,640 --> 00:52:36,399 Speaker 1: met my father in law. Of course, my husband didn't 889 00:52:36,440 --> 00:52:38,200 Speaker 1: prepare me, did not tell me when I met him 890 00:52:38,239 --> 00:52:41,120 Speaker 1: that we were aheaded to meet him. So maybe that 891 00:52:41,239 --> 00:52:43,800 Speaker 1: was for the best. But but then when I walked 892 00:52:43,800 --> 00:52:46,560 Speaker 1: in the room and realized who was there. Obviously, it's 893 00:52:46,600 --> 00:52:50,120 Speaker 1: it's intimidating meeting your possible future in law anytime, right, 894 00:52:50,239 --> 00:52:53,160 Speaker 1: his name is Trump, It's it's a little more intimidating. 895 00:52:53,640 --> 00:52:57,080 Speaker 1: But the second that I started talking to him, you know, 896 00:52:57,120 --> 00:52:59,080 Speaker 1: he looked you in the eye, He's focused on you, 897 00:52:59,440 --> 00:53:02,080 Speaker 1: wanted to hear about me, and was so engaging and 898 00:53:02,160 --> 00:53:06,839 Speaker 1: so charming and so personable that I was so relieved 899 00:53:06,880 --> 00:53:09,839 Speaker 1: and really put at east by him from day one. 900 00:53:10,040 --> 00:53:12,879 Speaker 1: So I knew that this was a man who had 901 00:53:12,880 --> 00:53:15,960 Speaker 1: the greatest character and a good heart from back then. 902 00:53:16,040 --> 00:53:18,239 Speaker 1: And that's why I got out in twenty sixteen and 903 00:53:18,800 --> 00:53:21,439 Speaker 1: fought so hard for him then on the campaign trail, 904 00:53:21,480 --> 00:53:25,000 Speaker 1: and remained with him now at the campaign. And I'm 905 00:53:25,040 --> 00:53:27,879 Speaker 1: so blessed to do it and so honored to do it. Really, Oh, 906 00:53:27,920 --> 00:53:30,160 Speaker 1: I'll bet you are. And you know, it's funny because 907 00:53:30,200 --> 00:53:32,120 Speaker 1: a lot of people would not believe what we just 908 00:53:32,160 --> 00:53:36,040 Speaker 1: said about President Trump unless they've met him. And the 909 00:53:36,040 --> 00:53:39,080 Speaker 1: ones who have met him will tell the same type 910 00:53:39,080 --> 00:53:42,319 Speaker 1: of story. So what is the What are you guys doing? 911 00:53:42,360 --> 00:53:45,000 Speaker 1: What are you doing right now as you gear up 912 00:53:45,000 --> 00:53:48,840 Speaker 1: for the twenty twenty reelection campaign. Well, I know it 913 00:53:48,920 --> 00:53:51,200 Speaker 1: seems like a long way away. It's two years away, 914 00:53:51,239 --> 00:53:54,360 Speaker 1: but really things kind of get off the ground about 915 00:53:54,400 --> 00:53:56,960 Speaker 1: a year from now. So we're just getting our ducks 916 00:53:56,960 --> 00:54:00,480 Speaker 1: in a row. You know, we're looking to figure out 917 00:54:00,520 --> 00:54:02,399 Speaker 1: who we're going to hire an each state, who are 918 00:54:02,400 --> 00:54:05,000 Speaker 1: going to be our state directors, lining up the great 919 00:54:05,000 --> 00:54:06,960 Speaker 1: people that we had in twenty sixteen. We want to 920 00:54:07,080 --> 00:54:08,880 Speaker 1: want to get a lot of them back. Obviously we 921 00:54:08,880 --> 00:54:12,640 Speaker 1: were incredibly successful. I always say though that I think 922 00:54:12,680 --> 00:54:16,800 Speaker 1: the best campaigner is the President himself. We I feel 923 00:54:16,840 --> 00:54:20,399 Speaker 1: have to do so little because the President is doing 924 00:54:20,520 --> 00:54:22,759 Speaker 1: such a good job that he is the one out 925 00:54:22,800 --> 00:54:26,800 Speaker 1: there advertising for himself. He's his own best commercial because 926 00:54:27,160 --> 00:54:30,040 Speaker 1: every day people are seeing the results from this man. 927 00:54:30,120 --> 00:54:33,239 Speaker 1: And you know, we have designed that the rally promises made, 928 00:54:33,239 --> 00:54:36,880 Speaker 1: promises kept, but it's the reality. This is a man who, 929 00:54:37,480 --> 00:54:40,040 Speaker 1: you know, as a politician, has shown that you can 930 00:54:40,120 --> 00:54:42,400 Speaker 1: as a politician keep your promises because he does it 931 00:54:42,719 --> 00:54:46,080 Speaker 1: every single day. He's delivering for the American people. And 932 00:54:46,160 --> 00:54:48,920 Speaker 1: now not only is he running on campaign promises, he's 933 00:54:48,960 --> 00:54:52,080 Speaker 1: going to be running on results in twenty twenty. So 934 00:54:52,239 --> 00:54:55,880 Speaker 1: you know, we're really focused on fundraising, on streamlining everything, 935 00:54:56,000 --> 00:54:58,240 Speaker 1: on getting all of our ducks in a row leading 936 00:54:58,320 --> 00:55:01,160 Speaker 1: up to twenty twenty, and we feel really good as 937 00:55:01,200 --> 00:55:03,480 Speaker 1: a campaign. You know, was the first time we did this, 938 00:55:04,000 --> 00:55:06,440 Speaker 1: we really did not know what we were doing. I mean, 939 00:55:06,480 --> 00:55:08,799 Speaker 1: we were very grassroots. We were all very green when 940 00:55:08,800 --> 00:55:11,400 Speaker 1: it came to anything political, because none of us had 941 00:55:11,400 --> 00:55:13,880 Speaker 1: ever had any experience in it. And I think twenty 942 00:55:13,920 --> 00:55:18,480 Speaker 1: sixteen was a great, great learning experience and we certainly 943 00:55:18,520 --> 00:55:21,840 Speaker 1: did learn a lot then. So we're just getting everything 944 00:55:21,880 --> 00:55:24,480 Speaker 1: lined up so that we're ready to go. And I 945 00:55:24,520 --> 00:55:26,600 Speaker 1: wish I knew who the Democrats were running, because that 946 00:55:26,600 --> 00:55:28,880 Speaker 1: would make things even more interesting for us. It sounds 947 00:55:28,920 --> 00:55:32,759 Speaker 1: like a whole bunch of Democrats they're running. Yeah, yeah, 948 00:55:32,880 --> 00:55:36,839 Speaker 1: so's It's something that we're taking very seriously. And I 949 00:55:36,880 --> 00:55:39,240 Speaker 1: know that I speak for so many in this country 950 00:55:39,239 --> 00:55:41,960 Speaker 1: when I say we are definitely keeping Donald Trump in 951 00:55:42,040 --> 00:55:45,400 Speaker 1: office for eight years. We better listen. When we started 952 00:55:45,440 --> 00:55:48,480 Speaker 1: I started the show today talking about his accomplishments. You 953 00:55:48,560 --> 00:55:52,759 Speaker 1: mentioned promises made, promises kept, and you know, the administration 954 00:55:52,800 --> 00:55:55,239 Speaker 1: themselves itself has said that they are at least two 955 00:55:55,320 --> 00:55:58,520 Speaker 1: hundred and eighty nine accompli accomplishments and in eighteen different 956 00:55:58,520 --> 00:56:01,279 Speaker 1: categories since he took office. And I spent some time 957 00:56:01,560 --> 00:56:03,840 Speaker 1: in the beginning of this show going over that, and 958 00:56:04,160 --> 00:56:06,640 Speaker 1: I think that is a great platform. Now, that's a 959 00:56:06,680 --> 00:56:09,759 Speaker 1: good springboard actually to go into the twenty twenty. But 960 00:56:09,840 --> 00:56:12,239 Speaker 1: you know, Laura, there's a there's a war on women, 961 00:56:12,320 --> 00:56:14,560 Speaker 1: and the left is waging it. I mean, they're vote 962 00:56:14,600 --> 00:56:17,600 Speaker 1: shaming women who support Trump. Did you ever think you'd 963 00:56:17,640 --> 00:56:20,240 Speaker 1: see the day? I mean, we're supposed to be independent 964 00:56:20,280 --> 00:56:23,040 Speaker 1: thinkers now, and we can decide and make our own 965 00:56:23,040 --> 00:56:27,319 Speaker 1: decisions unless unless those decisions don't line up with where 966 00:56:27,320 --> 00:56:29,160 Speaker 1: the left want us to be and who they want 967 00:56:29,200 --> 00:56:32,239 Speaker 1: us to vote for. And then suddenly we listened to 968 00:56:32,239 --> 00:56:34,120 Speaker 1: our husbands, our brothers, our sons, and I had to 969 00:56:34,160 --> 00:56:36,839 Speaker 1: laugh because, I mean, come on, guys out there, Most 970 00:56:36,840 --> 00:56:39,560 Speaker 1: guys out there will admit that we don't listen. We 971 00:56:39,680 --> 00:56:42,320 Speaker 1: just don't. As much as we try, and we would 972 00:56:42,320 --> 00:56:44,200 Speaker 1: love to in our hearts, we just don't. We do 973 00:56:44,239 --> 00:56:46,040 Speaker 1: our own thing. I mean, that's just where and that's 974 00:56:46,040 --> 00:56:48,440 Speaker 1: the truth. And the guides know that and the ladies 975 00:56:48,520 --> 00:56:51,799 Speaker 1: know that. But if this movement, the feminist movement, was 976 00:56:51,840 --> 00:56:56,160 Speaker 1: designed by women for women to create this perfect society 977 00:56:56,160 --> 00:56:59,480 Speaker 1: where we're all taken seriously. Then there was then there's 978 00:56:59,520 --> 00:57:02,839 Speaker 1: been a fail. They didn't It hasn't worked because some 979 00:57:02,920 --> 00:57:06,120 Speaker 1: of us aren't doing it right. Laura, Oh my goodness, 980 00:57:06,160 --> 00:57:09,799 Speaker 1: could you imagine a woman voting for a Republican and 981 00:57:09,920 --> 00:57:13,120 Speaker 1: Donald Trump? No less? Oh you know what, that was 982 00:57:13,160 --> 00:57:16,040 Speaker 1: the funniest thing to me in twenty sixteen, And every 983 00:57:16,040 --> 00:57:18,800 Speaker 1: time that I did an interview, people would always ask 984 00:57:18,800 --> 00:57:21,320 Speaker 1: me about that, Well, there's no way women are going 985 00:57:21,360 --> 00:57:23,720 Speaker 1: to vote for this man, And I would say, listen. 986 00:57:23,760 --> 00:57:26,480 Speaker 1: I go all across the country, and the number of 987 00:57:26,480 --> 00:57:29,800 Speaker 1: women that come out to Trump rallies to hear me, 988 00:57:29,920 --> 00:57:32,520 Speaker 1: and the women that traveled the country with me and 989 00:57:33,080 --> 00:57:35,640 Speaker 1: are so excited to vote for Donald Trump. The number 990 00:57:35,640 --> 00:57:38,240 Speaker 1: of women who were former Democrats who maybe have never 991 00:57:38,320 --> 00:57:39,920 Speaker 1: voted in their life that I knew we're going to 992 00:57:40,000 --> 00:57:43,160 Speaker 1: vote for him in twenty sixteen, it's amazing. And you know, 993 00:57:43,200 --> 00:57:47,040 Speaker 1: to your point, it's pretty incredible that we're supposed to 994 00:57:47,080 --> 00:57:50,280 Speaker 1: have the freedom to choose and do whatever we want 995 00:57:50,280 --> 00:57:53,440 Speaker 1: and vote whatever way we feel in our hearts we should. 996 00:57:53,840 --> 00:57:57,160 Speaker 1: And yet unless it's a vote for a Democrat. Apparently 997 00:57:57,320 --> 00:58:01,040 Speaker 1: it's wrong. It's so ridiculous, and I think a lot 998 00:58:01,080 --> 00:58:04,480 Speaker 1: of what's happening is setting women back, and it's really 999 00:58:04,560 --> 00:58:08,640 Speaker 1: scary stuff. But I really think that, and I say 1000 00:58:08,640 --> 00:58:11,560 Speaker 1: it all the time, but I know it's true. When 1001 00:58:11,600 --> 00:58:14,120 Speaker 1: women get in a voting booth, no one is looking 1002 00:58:14,360 --> 00:58:16,600 Speaker 1: and they are the only ones that know who they're 1003 00:58:17,160 --> 00:58:19,360 Speaker 1: casting a vote for. And I knew it would happen 1004 00:58:19,360 --> 00:58:21,600 Speaker 1: in twenty sixteen. I knew it was going to happen 1005 00:58:21,600 --> 00:58:23,600 Speaker 1: in the midterms, and I know it's going to happen 1006 00:58:23,600 --> 00:58:26,080 Speaker 1: in twenty twenty. You know, the reality is women in 1007 00:58:26,120 --> 00:58:28,800 Speaker 1: this country want to know that they have a better 1008 00:58:28,800 --> 00:58:31,440 Speaker 1: shot at everything. And if you look at the opportunities 1009 00:58:31,680 --> 00:58:33,880 Speaker 1: presented to women in this country since Donald Trump has 1010 00:58:33,920 --> 00:58:37,320 Speaker 1: been in office, they're undeniable. Women's unemployment is the lowest 1011 00:58:37,360 --> 00:58:39,520 Speaker 1: that's been in decades, and I know we'll get to 1012 00:58:39,560 --> 00:58:41,480 Speaker 1: the lowest in all time, like we have with all 1013 00:58:41,520 --> 00:58:45,680 Speaker 1: the other categories of unemployment. The reality is, this is 1014 00:58:45,680 --> 00:58:48,800 Speaker 1: a man who his entire life, my father in law, 1015 00:58:49,200 --> 00:58:51,680 Speaker 1: doesn't care about your gender, doesn't care about your race. 1016 00:58:51,760 --> 00:58:54,280 Speaker 1: He wants the perfect person for the job in there. 1017 00:58:54,440 --> 00:58:57,439 Speaker 1: That's why there are so many women in his administration. 1018 00:58:57,760 --> 00:59:00,760 Speaker 1: That's why you see Sarah Sanders doing such an incredible job. 1019 00:59:00,800 --> 00:59:04,440 Speaker 1: It's amazing behalf every day. That's why Kelly Inn was 1020 00:59:04,480 --> 00:59:07,720 Speaker 1: the first successful campaign manager that was a woman. You know. 1021 00:59:08,200 --> 00:59:10,680 Speaker 1: It's it's really amazing though to hear the other side 1022 00:59:10,680 --> 00:59:12,640 Speaker 1: and the way they try and spend things. But I 1023 00:59:12,680 --> 00:59:15,440 Speaker 1: always say, women are smart and women are strong, and 1024 00:59:15,480 --> 00:59:17,120 Speaker 1: they're going to go in the voting booth and they're 1025 00:59:17,120 --> 00:59:18,800 Speaker 1: going to do what they know is right. And that's 1026 00:59:18,800 --> 00:59:21,200 Speaker 1: a vote for Donald Trump. And for the feminists to 1027 00:59:21,240 --> 00:59:24,320 Speaker 1: suggest that after all these years, you know, the feminists 1028 00:59:24,320 --> 00:59:26,720 Speaker 1: want to maintain that women still can't think for themselves. 1029 00:59:27,040 --> 00:59:30,520 Speaker 1: I mean that talk about a major cultural bust. There 1030 00:59:30,600 --> 00:59:32,480 Speaker 1: you go, I mean, there goes all their hard work. 1031 00:59:32,520 --> 00:59:34,880 Speaker 1: Now they're still claiming we can't think for ourselves. It's amazing. 1032 00:59:35,000 --> 00:59:37,920 Speaker 1: By the way, you mentioned the female unemployment. It's the 1033 00:59:37,960 --> 00:59:41,640 Speaker 1: lowest it's been since nineteen fifty three, Laura, that's amazing. 1034 00:59:42,160 --> 00:59:45,680 Speaker 1: They're relatable, incredible, and we give so much credit to 1035 00:59:45,720 --> 00:59:48,880 Speaker 1: the president for all of that, although no one will 1036 00:59:48,880 --> 00:59:52,240 Speaker 1: give him credit credit for it. Right now, yes, can 1037 00:59:52,280 --> 00:59:53,920 Speaker 1: I ask you something? Is he aware? Because I have 1038 00:59:53,960 --> 00:59:55,840 Speaker 1: people asking me this all the time. Do you think 1039 00:59:55,880 --> 00:59:59,080 Speaker 1: that President Trump is aware of, you know, how so 1040 00:59:59,160 --> 01:00:01,280 Speaker 1: many of his supporters are treated, and how they still 1041 01:00:01,320 --> 01:00:04,480 Speaker 1: are determined to remain his supporters and defend him. And 1042 01:00:04,800 --> 01:00:07,480 Speaker 1: I'm certain that he is, and I am certain that 1043 01:00:07,520 --> 01:00:11,000 Speaker 1: he appreciates it as well. Oh, he appreciates it so 1044 01:00:11,000 --> 01:00:14,240 Speaker 1: so much. This president loves nothing more than the people 1045 01:00:14,280 --> 01:00:16,880 Speaker 1: of this country. And believe me, his life would be 1046 01:00:16,920 --> 01:00:19,680 Speaker 1: a lot easier roads had he never decided to run 1047 01:00:19,720 --> 01:00:22,280 Speaker 1: from presidents. But he did it because he loves this 1048 01:00:22,360 --> 01:00:24,440 Speaker 1: country and he loves the people of this country, and 1049 01:00:24,520 --> 01:00:27,520 Speaker 1: he wanted everybody to have the same opportunity he did 1050 01:00:27,800 --> 01:00:30,360 Speaker 1: at the American Dream, because that's really what this country 1051 01:00:30,440 --> 01:00:32,360 Speaker 1: is about, and he saw that that was being stripped 1052 01:00:32,360 --> 01:00:36,720 Speaker 1: away from us. He loves the people that support him, truly, 1053 01:00:36,760 --> 01:00:39,240 Speaker 1: He's so appreciative of them. I do think it's hard 1054 01:00:39,280 --> 01:00:41,640 Speaker 1: for him sometimes though, because listen, he is walled off 1055 01:00:41,920 --> 01:00:44,280 Speaker 1: in the White House and he sees what we all 1056 01:00:44,320 --> 01:00:47,320 Speaker 1: see happening out there with the media, with the Democrats, 1057 01:00:47,320 --> 01:00:51,640 Speaker 1: with Hollywood constantly, the barrage of attacks against him. And 1058 01:00:52,200 --> 01:00:54,560 Speaker 1: I know that every time I see him, he checks 1059 01:00:54,600 --> 01:00:56,720 Speaker 1: in with me, how do you think we're doing? How 1060 01:00:56,720 --> 01:00:59,680 Speaker 1: does it feel out there? And I tell him, listen, 1061 01:01:00,040 --> 01:01:02,479 Speaker 1: people that voted for you in twenty sixteen are so 1062 01:01:02,520 --> 01:01:04,640 Speaker 1: happy they voted for you. They're so proud of you. 1063 01:01:04,880 --> 01:01:06,439 Speaker 1: They're going to vote for you again. And so many 1064 01:01:06,440 --> 01:01:08,120 Speaker 1: people who I don't even think voted for him in 1065 01:01:08,120 --> 01:01:10,400 Speaker 1: twenty sixteen are going to vote for him in twenty 1066 01:01:10,440 --> 01:01:13,160 Speaker 1: twenty because again they see the results and they see 1067 01:01:13,160 --> 01:01:16,560 Speaker 1: how right better their lives are becoming thanks to this president. 1068 01:01:17,320 --> 01:01:19,640 Speaker 1: So we talked about women. I'd love to talk about 1069 01:01:19,760 --> 01:01:24,000 Speaker 1: my favorite right now, and that's Flotus. Milania is you 1070 01:01:24,040 --> 01:01:26,040 Speaker 1: know what Laura? I met her. I was behind the 1071 01:01:26,120 --> 01:01:30,720 Speaker 1: ropes because I was doing interviews after one of the debates. 1072 01:01:30,760 --> 01:01:33,040 Speaker 1: I can't I don't even remember what city I was in, 1073 01:01:33,320 --> 01:01:36,160 Speaker 1: but I had an opportunity to speak to her briefly. 1074 01:01:36,640 --> 01:01:39,560 Speaker 1: She was so gracious and so kind. But I got 1075 01:01:39,560 --> 01:01:41,240 Speaker 1: to tell you when I first saw her, when I 1076 01:01:41,280 --> 01:01:43,880 Speaker 1: went to approach her, I felt like I couldn't breathe, 1077 01:01:43,920 --> 01:01:48,640 Speaker 1: you know, the saying that breathtakingly beautiful. My god, that 1078 01:01:48,680 --> 01:01:53,720 Speaker 1: woman is beautiful and so gracious, so gracious, amazing, She's amazing. 1079 01:01:53,800 --> 01:01:57,160 Speaker 1: She is the epitome of a first lady, and she's 1080 01:01:57,200 --> 01:01:59,680 Speaker 1: doing such a great job, and you know, it's a 1081 01:01:59,720 --> 01:02:03,320 Speaker 1: shame aim that that she's treated the way that she is. 1082 01:02:03,680 --> 01:02:08,120 Speaker 1: First of all, Milania is incredibly smart. She speaks many languages. 1083 01:02:08,440 --> 01:02:12,920 Speaker 1: I heard she's she's so elegant, and she's so poised 1084 01:02:12,960 --> 01:02:17,640 Speaker 1: and classy and takes this responsibility very seriously. The fact 1085 01:02:17,640 --> 01:02:20,080 Speaker 1: that she's not on the cover of magazines across the 1086 01:02:20,160 --> 01:02:24,800 Speaker 1: country is appalling. But it's it's so evident why because 1087 01:02:24,840 --> 01:02:28,200 Speaker 1: her last name is trump Um and it's it's really unfortunate. 1088 01:02:28,680 --> 01:02:32,120 Speaker 1: I give her so much credit. She withstands a great deal, 1089 01:02:32,400 --> 01:02:36,120 Speaker 1: and she does everything with grace, and she is beautiful, 1090 01:02:36,240 --> 01:02:39,960 Speaker 1: and she's talented, and she's kind and she's all those 1091 01:02:40,000 --> 01:02:43,320 Speaker 1: wonderful things that you would think she is. Um. I'm 1092 01:02:43,320 --> 01:02:45,280 Speaker 1: so proud of her. I think she's doing a great job. 1093 01:02:45,400 --> 01:02:49,280 Speaker 1: The White House decorations, by the way, for Christmas are incredible, 1094 01:02:49,480 --> 01:02:53,360 Speaker 1: despite what you may have heard. She did such a 1095 01:02:53,360 --> 01:02:57,400 Speaker 1: great job there too. So when they criticize that, they're 1096 01:02:57,400 --> 01:03:01,240 Speaker 1: criticizing the hundreds of volunteers that are chosen every year. 1097 01:03:01,280 --> 01:03:04,200 Speaker 1: It doesn't matter if they're Democrats, are Republicans, and they're 1098 01:03:04,280 --> 01:03:08,000 Speaker 1: chosen every year to come and help decorate, and some 1099 01:03:08,120 --> 01:03:11,840 Speaker 1: designers help with the design. So you're criticizing all of 1100 01:03:11,880 --> 01:03:14,200 Speaker 1: those people, You're not just criticizing the first lady. And 1101 01:03:14,240 --> 01:03:17,280 Speaker 1: I just think it's so unbelievable. They have been stunning 1102 01:03:17,320 --> 01:03:20,360 Speaker 1: and elegant in every way both years, and I just 1103 01:03:20,480 --> 01:03:22,640 Speaker 1: I feel for her, I really do. I'm sorry that 1104 01:03:22,680 --> 01:03:25,240 Speaker 1: she has to go through that now. But listen, she's 1105 01:03:25,240 --> 01:03:28,760 Speaker 1: a very strong woman and she keeps her head up 1106 01:03:28,760 --> 01:03:32,400 Speaker 1: and nothing's going to affect her. And despite all that, 1107 01:03:32,840 --> 01:03:35,280 Speaker 1: you know, gets her thrown her way, I think she's 1108 01:03:35,400 --> 01:03:38,600 Speaker 1: handling herself very well. And again, I'm so so proud 1109 01:03:38,640 --> 01:03:40,920 Speaker 1: of her. She's doing a great job. Yeah, I agree, 1110 01:03:40,960 --> 01:03:44,160 Speaker 1: she's a doll. Listen. Laura Trump, senior advisor for President 1111 01:03:44,200 --> 01:03:48,680 Speaker 1: Donald Trump's twenty twenty reelection campaign and wife of Eric. 1112 01:03:48,720 --> 01:03:50,840 Speaker 1: Will you say hi to Eric for me please? I 1113 01:03:50,960 --> 01:03:54,600 Speaker 1: would feel absolutely And the website is Donald J. Trump 1114 01:03:54,640 --> 01:03:59,000 Speaker 1: dot com and her Twitter is at Laura Lee Alia Trump. Laura, 1115 01:03:59,040 --> 01:04:02,400 Speaker 1: thanks so much for joining us today. I appreciate it absolutely, Rose. 1116 01:04:02,440 --> 01:04:05,040 Speaker 1: It was a pleasure. Take care. We'll be back with 1117 01:04:05,080 --> 01:04:07,320 Speaker 1: more of the Sean Hannity Show after this and your 1118 01:04:07,360 --> 01:04:09,880 Speaker 1: phone calls eight hundred and nine four one, Seaun check 1119 01:04:09,920 --> 01:04:12,680 Speaker 1: me out on Twitter. It's at Rose Underscore Unplugged, and 1120 01:04:12,800 --> 01:04:17,560 Speaker 1: Laura's is at Laura Lee Trump. We'll be back. Okay, 1121 01:04:17,600 --> 01:04:20,840 Speaker 1: welcome back to the show. It is the Sean Hannity Show. 1122 01:04:20,920 --> 01:04:23,680 Speaker 1: My name is Rose. Thanks to Seawan for allowing me 1123 01:04:23,720 --> 01:04:27,400 Speaker 1: to join the show today. I really appreciate it. My goodness. 1124 01:04:27,480 --> 01:04:29,600 Speaker 1: I really like Laura Trump and I really did get 1125 01:04:29,640 --> 01:04:33,240 Speaker 1: an opportunity to work with Eric quite often during the 1126 01:04:33,320 --> 01:04:37,080 Speaker 1: twenty sixteen campaign, and I enjoyed that very much. And 1127 01:04:37,280 --> 01:04:39,720 Speaker 1: I told them they were going to win Pennsylvania. He'd 1128 01:04:39,720 --> 01:04:41,800 Speaker 1: ask me, and I'd say, you have it in the bag. 1129 01:04:41,800 --> 01:04:44,040 Speaker 1: And I wasn't just trying to put a positive spin 1130 01:04:44,080 --> 01:04:46,040 Speaker 1: on anything because and I'll tell you how I knew. 1131 01:04:47,320 --> 01:04:50,960 Speaker 1: I had callers calling my show and not wanting to 1132 01:04:50,960 --> 01:04:54,160 Speaker 1: give their name because they were lifelong Democrats in the 1133 01:04:54,240 --> 01:04:57,760 Speaker 1: city and they were afraid they'd get found out. But 1134 01:04:57,840 --> 01:05:00,960 Speaker 1: there were so many Democrats and that we're voting for 1135 01:05:01,040 --> 01:05:05,840 Speaker 1: Donald Trump during the twenty sixteen election, and I could 1136 01:05:05,840 --> 01:05:08,920 Speaker 1: tell and this sounds anecdotal, but listen, I believe you 1137 01:05:08,920 --> 01:05:11,480 Speaker 1: can tell those signs, the number I took the same 1138 01:05:11,640 --> 01:05:13,439 Speaker 1: route into work that I've been taken for the last 1139 01:05:13,480 --> 01:05:16,600 Speaker 1: twenty years, and the number of Trump signs, some of 1140 01:05:16,640 --> 01:05:20,600 Speaker 1: them handwritten and placed in the tape through their windows. 1141 01:05:20,640 --> 01:05:23,439 Speaker 1: I mean, come on, I just knew. So I wasn't 1142 01:05:23,520 --> 01:05:26,280 Speaker 1: trying to put a good spin or a positive spin 1143 01:05:26,360 --> 01:05:29,120 Speaker 1: on it. I knew that he was going to win 1144 01:05:29,440 --> 01:05:32,240 Speaker 1: this state. I just knew it. I could tell, and 1145 01:05:32,240 --> 01:05:36,080 Speaker 1: we did carry it here in southwestern Pennsylvania for Donald Trump. 1146 01:05:36,480 --> 01:05:40,400 Speaker 1: So listen, don't forget. We still have gosh another hour, 1147 01:05:40,880 --> 01:05:44,080 Speaker 1: and next hour, Katie Hopkins is joining me. She's going 1148 01:05:44,120 --> 01:05:46,040 Speaker 1: to give us an update. She was recently in Rome. 1149 01:05:46,400 --> 01:05:49,160 Speaker 1: Interesting story there, she'll tell you, and a couple of 1150 01:05:49,200 --> 01:05:51,880 Speaker 1: other things. And your phone calls at one eight hundred 1151 01:05:51,960 --> 01:05:55,920 Speaker 1: nine four one Sean one eight hundred nine four one, Sean. 1152 01:05:56,040 --> 01:05:58,480 Speaker 1: I love hearing from you, and I've got some calls 1153 01:05:58,600 --> 01:06:00,600 Speaker 1: up on the screen. I'll get to you, I promise, 1154 01:06:01,080 --> 01:06:02,880 Speaker 1: as soon as we come back from this break, So 1155 01:06:02,960 --> 01:06:05,000 Speaker 1: don't go too far away. There's still lots more to 1156 01:06:05,040 --> 01:06:08,920 Speaker 1: talk about. Hey, welcome back to the Sean Hannity Show, 1157 01:06:09,400 --> 01:06:12,320 Speaker 1: and listen. You can check him out on Twitter, it's 1158 01:06:12,400 --> 01:06:17,360 Speaker 1: at Sean Hannity. Mine is at Rose Underscore Unplugged, and 1159 01:06:17,440 --> 01:06:20,120 Speaker 1: my website is Rose unplugged dot com and Facebook is 1160 01:06:20,200 --> 01:06:22,600 Speaker 1: Rose Unplugged. So that should make it pretty easy for 1161 01:06:22,680 --> 01:06:26,240 Speaker 1: you coming up leader this hour. Katie Hopkins lots to 1162 01:06:26,280 --> 01:06:29,200 Speaker 1: talk about. She was recently in Rome. Silvini I talked to. 1163 01:06:29,600 --> 01:06:31,560 Speaker 1: I was in New York a couple of days ago. 1164 01:06:31,600 --> 01:06:33,960 Speaker 1: I saw a couple of friends of mine from Italy 1165 01:06:34,440 --> 01:06:38,080 Speaker 1: and they really like Sylvini and they actually they see 1166 01:06:38,160 --> 01:06:42,080 Speaker 1: him as their version of Trump in Italy. So we'll 1167 01:06:42,120 --> 01:06:44,320 Speaker 1: talk about that. We're gonna talk about macrom We're gonna 1168 01:06:44,360 --> 01:06:48,000 Speaker 1: talk about what's going on in Paris right now. I 1169 01:06:48,040 --> 01:06:49,959 Speaker 1: don't think you want to miss that interview. It will 1170 01:06:50,000 --> 01:06:52,640 Speaker 1: be good. So you can also call the show eight 1171 01:06:53,440 --> 01:06:56,240 Speaker 1: hundred nine four one sewn one eight hundred nine for 1172 01:06:56,720 --> 01:06:59,240 Speaker 1: one Sean before I take some of the phone calls, 1173 01:07:00,240 --> 01:07:02,160 Speaker 1: I just wanted to talk a little bit about, you know, 1174 01:07:02,640 --> 01:07:06,200 Speaker 1: the media and a lot of the Democrats exploited and 1175 01:07:06,360 --> 01:07:09,320 Speaker 1: I don't know they were misleading us when they discussed 1176 01:07:09,360 --> 01:07:11,600 Speaker 1: the death of that seven year old migrant girl. It 1177 01:07:11,720 --> 01:07:15,120 Speaker 1: was so heartbreaking to hear her story as it was 1178 01:07:15,600 --> 01:07:17,320 Speaker 1: you know, you just wanted to do. Your heart just 1179 01:07:17,480 --> 01:07:21,720 Speaker 1: broke for her. She was transported. She and her dad 1180 01:07:21,760 --> 01:07:25,160 Speaker 1: were looking for asylum in the United States, a couple. 1181 01:07:25,280 --> 01:07:28,320 Speaker 1: There was one news outlet someone actually or tweeted that 1182 01:07:28,640 --> 01:07:31,840 Speaker 1: she died in a holding facility, which was not true 1183 01:07:31,920 --> 01:07:35,040 Speaker 1: at all. She had she had been sick on the 1184 01:07:35,080 --> 01:07:38,480 Speaker 1: bus ride. The father said she wasn't ill before this. 1185 01:07:39,920 --> 01:07:42,400 Speaker 1: They had to revive her twice. I believe she was 1186 01:07:42,480 --> 01:07:46,200 Speaker 1: life lighted to Providence Children's Hospital in El Paso, where 1187 01:07:46,200 --> 01:07:51,560 Speaker 1: they revived her there from cardiac arrest. She in the end, 1188 01:07:51,680 --> 01:07:54,480 Speaker 1: she didn't recover, and she died at the hospital twenty 1189 01:07:54,480 --> 01:07:58,280 Speaker 1: four hours after being transported. She didn't die in a 1190 01:07:58,360 --> 01:08:02,640 Speaker 1: holding facility. It wasn't Trump's fault, it wasn't the border 1191 01:08:02,680 --> 01:08:05,840 Speaker 1: Patrol's fault. But yet much of the media would have 1192 01:08:06,000 --> 01:08:09,280 Speaker 1: you know or believe that it was their fault. What 1193 01:08:09,440 --> 01:08:13,680 Speaker 1: I appreciated, and I usually do appreciate him, is yesterday 1194 01:08:13,800 --> 01:08:17,639 Speaker 1: on CBS's Face the Nation, our White House Senior policy 1195 01:08:17,640 --> 01:08:21,120 Speaker 1: advisor Stephen Miller did weigh in on who was to 1196 01:08:21,160 --> 01:08:23,800 Speaker 1: blame for that child's death. Take a listen to what 1197 01:08:23,800 --> 01:08:26,280 Speaker 1: he had to say. Break for the tragic death of 1198 01:08:26,320 --> 01:08:29,160 Speaker 1: the seven year old girl. The loss of that precious 1199 01:08:29,200 --> 01:08:35,320 Speaker 1: life is horrifying. It is a painful reminder of the 1200 01:08:35,439 --> 01:08:39,400 Speaker 1: ongoing humanitarian tragedy that is illegal immigration and the misery 1201 01:08:39,439 --> 01:08:42,800 Speaker 1: that it spreads. A coyote dropped off one hundred and 1202 01:08:42,840 --> 01:08:47,120 Speaker 1: sixty three migrants in an extremely remote section of New Mexico. 1203 01:08:48,200 --> 01:08:54,120 Speaker 1: Those individuals were found by border patrol, who many cases 1204 01:08:54,160 --> 01:08:57,000 Speaker 1: act as first responders. In fact, border patrol saves about 1205 01:08:57,040 --> 01:09:00,519 Speaker 1: four thousand lives every single year. Unfortunately, d to die 1206 01:09:00,520 --> 01:09:05,040 Speaker 1: on the dangerous trek. Up smuggling organizations profit off death 1207 01:09:05,320 --> 01:09:09,160 Speaker 1: and misery. They are vicious, vile organizations, and it's time 1208 01:09:09,200 --> 01:09:14,120 Speaker 1: that both parties had the appropriate level of outrage over 1209 01:09:14,160 --> 01:09:17,360 Speaker 1: the fact that these organizations continue to take advantage We 1210 01:09:17,479 --> 01:09:20,840 Speaker 1: equipped to deal with the record number of families coming 1211 01:09:20,880 --> 01:09:23,760 Speaker 1: across Why aren't that One of the great tragedies that 1212 01:09:23,840 --> 01:09:26,200 Speaker 1: is going on in our country today is the loopholes 1213 01:09:26,200 --> 01:09:29,160 Speaker 1: and our immigration laws, and the deficiencies and immigration laws 1214 01:09:29,240 --> 01:09:32,479 Speaker 1: and left wing activist judicial rulings that incentivize the most 1215 01:09:32,560 --> 01:09:35,360 Speaker 1: vulnerable populations to come to our country. Last year, Administer 1216 01:09:35,400 --> 01:09:40,360 Speaker 1: one hundred last year, one hundred thousand unaccompanied alien children 1217 01:09:40,520 --> 01:09:43,960 Speaker 1: or children traveling with adults showed up at our southern border. 1218 01:09:44,920 --> 01:09:50,000 Speaker 1: President Trump took dramatic action, issued an executive order directing 1219 01:09:50,040 --> 01:09:53,160 Speaker 1: illegal traffic to the ports of entry, but a left 1220 01:09:53,200 --> 01:09:57,080 Speaker 1: wing activist judge issued a reckless nationwide injunction of the 1221 01:09:57,080 --> 01:10:00,719 Speaker 1: President's order, putting thousands of lives at risk and further 1222 01:10:00,880 --> 01:10:05,600 Speaker 1: enriching these grotesques a record number across. I think he 1223 01:10:05,640 --> 01:10:07,680 Speaker 1: does a fabulous job. And you know, I want to 1224 01:10:07,720 --> 01:10:10,360 Speaker 1: tell you something. There is a story in bripebart about 1225 01:10:10,439 --> 01:10:13,439 Speaker 1: the border patrol agents and how they carried out more 1226 01:10:13,439 --> 01:10:18,720 Speaker 1: than forty three hundred rescues of illegal immigrants along or 1227 01:10:18,800 --> 01:10:22,320 Speaker 1: near the border. That was just in the year fiscal 1228 01:10:22,400 --> 01:10:25,760 Speaker 1: year twenty eighteen, and that's up more than thirty four 1229 01:10:25,880 --> 01:10:30,080 Speaker 1: hundred the prior year. So they actually carry out this 1230 01:10:30,160 --> 01:10:33,840 Speaker 1: year alone forty three hundred rescues, so and a lot 1231 01:10:33,920 --> 01:10:37,760 Speaker 1: of times the migrants are in life threatening situations, and 1232 01:10:38,280 --> 01:10:41,200 Speaker 1: that actually was an increase of more than twenty six 1233 01:10:41,240 --> 01:10:46,200 Speaker 1: percent over last year's rescues. So, you know, to blame 1234 01:10:46,240 --> 01:10:49,680 Speaker 1: the border patrol, to blame Trump, I mean, particularly in 1235 01:10:50,120 --> 01:10:53,840 Speaker 1: this situation, is just an outrage. And I thought that 1236 01:10:54,280 --> 01:10:56,960 Speaker 1: he handled that really well. We can take a call 1237 01:10:57,040 --> 01:11:01,400 Speaker 1: from Alan in Texas. How are you Alan? I'm great, 1238 01:11:01,400 --> 01:11:05,840 Speaker 1: how are you doing well? Thank you? Okay. So here's 1239 01:11:05,880 --> 01:11:08,360 Speaker 1: what's going on with the kids and the adults. If 1240 01:11:08,400 --> 01:11:11,360 Speaker 1: you cross the border, for the child in tow, you're 1241 01:11:11,400 --> 01:11:14,040 Speaker 1: cut loose by a board of trol in the ICE. 1242 01:11:14,080 --> 01:11:16,479 Speaker 1: It doesn't matter how many times you've been deported, it 1243 01:11:16,479 --> 01:11:20,040 Speaker 1: doesn't matter two committed crimes in the United States, it 1244 01:11:20,040 --> 01:11:23,160 Speaker 1: doesn't matter if it's your first time. Everybody's treated the same. 1245 01:11:23,320 --> 01:11:25,840 Speaker 1: They process them and they let them go. And that's 1246 01:11:26,040 --> 01:11:29,240 Speaker 1: that's all across the southern border. That's why ICE and 1247 01:11:29,320 --> 01:11:31,439 Speaker 1: the Board of trol are overwhelmed, because the word is 1248 01:11:31,479 --> 01:11:34,120 Speaker 1: out that across the border with a kid, it's to 1249 01:11:34,200 --> 01:11:36,720 Speaker 1: get out of jail. Three card. Yeah, you know, and 1250 01:11:36,760 --> 01:11:40,240 Speaker 1: you're right, they are overwhelmed. I've talked to several of them, 1251 01:11:40,280 --> 01:11:42,960 Speaker 1: of course, you know, over the course, particularly over the 1252 01:11:43,040 --> 01:11:47,520 Speaker 1: last month or so, and they are, they're overworked, they're overwhelmed. 1253 01:11:47,800 --> 01:11:50,080 Speaker 1: They don't have and that's why, you know, when we 1254 01:11:50,120 --> 01:11:54,000 Speaker 1: talk about security and building a wall. Look, we have 1255 01:11:54,160 --> 01:11:58,040 Speaker 1: over three hundred points of entry. Do it that way? 1256 01:11:58,200 --> 01:12:00,320 Speaker 1: Do it? No one is saying we don't want people 1257 01:12:00,360 --> 01:12:03,120 Speaker 1: migrating to the United States. Although if you were to 1258 01:12:03,280 --> 01:12:05,080 Speaker 1: listen to the media, that's what they would have you 1259 01:12:05,120 --> 01:12:07,840 Speaker 1: believe that we don't want that. That's not true at all. 1260 01:12:08,040 --> 01:12:10,719 Speaker 1: We have three hundred points of entry, ports of entry. 1261 01:12:11,080 --> 01:12:13,160 Speaker 1: Let's do it the legal way. Let's make sure that 1262 01:12:13,240 --> 01:12:16,120 Speaker 1: everyone and then when you're doing it the right way, 1263 01:12:16,160 --> 01:12:19,400 Speaker 1: when there is order, then you can prevent something, you know, 1264 01:12:19,439 --> 01:12:21,800 Speaker 1: hopefully like what happened to this poor or seven year 1265 01:12:21,840 --> 01:12:25,920 Speaker 1: old girl. But that's why you have That's what And 1266 01:12:25,960 --> 01:12:29,599 Speaker 1: when we talk about putting up a security wall on 1267 01:12:29,760 --> 01:12:32,599 Speaker 1: our border, I mean, that is so important. And then 1268 01:12:32,760 --> 01:12:34,640 Speaker 1: one of the things I learned, and I learned this 1269 01:12:34,720 --> 01:12:38,599 Speaker 1: from Linda, is that just how much of a war 1270 01:12:38,680 --> 01:12:40,800 Speaker 1: has been waged on our children. So when we talk 1271 01:12:40,840 --> 01:12:44,200 Speaker 1: about security, it's not just to keep it's not keeping 1272 01:12:44,240 --> 01:12:46,479 Speaker 1: people out because we don't like people if they don't 1273 01:12:46,479 --> 01:12:49,200 Speaker 1: look like us. No, it's it's to do things in 1274 01:12:49,240 --> 01:12:52,320 Speaker 1: an orderly and very safe way. But it's also to 1275 01:12:52,360 --> 01:12:57,040 Speaker 1: protect our children. Right now, the opioid epidemic and fentinol 1276 01:12:57,080 --> 01:12:59,439 Speaker 1: which is coming through this country, it's coming from Mexico 1277 01:13:00,240 --> 01:13:03,160 Speaker 1: indirectly from China, now that there's been more restrictions on 1278 01:13:03,560 --> 01:13:06,360 Speaker 1: you know, these young people are are ordering on the 1279 01:13:06,520 --> 01:13:08,679 Speaker 1: dark web, they're ordering, they're fent and all from China. 1280 01:13:08,800 --> 01:13:12,040 Speaker 1: Now they're since a couple of months ago, that's been 1281 01:13:12,080 --> 01:13:14,920 Speaker 1: somewhat restricted, and we need to even keep a closer 1282 01:13:14,920 --> 01:13:17,519 Speaker 1: eye on that. And I know that President has been 1283 01:13:17,520 --> 01:13:20,559 Speaker 1: working on that with China. But my point is, and 1284 01:13:20,600 --> 01:13:22,840 Speaker 1: I learned this from Linda, that there is a war 1285 01:13:22,960 --> 01:13:26,800 Speaker 1: that's been waged on our children. Their life expectancy is 1286 01:13:27,000 --> 01:13:30,879 Speaker 1: lower than ours was. This is not a good situation. 1287 01:13:30,880 --> 01:13:33,360 Speaker 1: And when we want we want our border secure. Its 1288 01:13:33,360 --> 01:13:35,800 Speaker 1: for a lot of reasons, a lot of reasons. But 1289 01:13:35,920 --> 01:13:39,120 Speaker 1: as as millerd just said, you know one other thing, 1290 01:13:39,200 --> 01:13:42,200 Speaker 1: you can't blame Trump. You can't blame the border patrol 1291 01:13:42,520 --> 01:13:45,320 Speaker 1: because here we have, you know, things being done in 1292 01:13:45,320 --> 01:13:49,840 Speaker 1: a disorderly way. And shame on those people that encourage 1293 01:13:50,200 --> 01:13:53,160 Speaker 1: these migrants to come forward and to prompt make promises 1294 01:13:53,200 --> 01:13:57,080 Speaker 1: to them that can't be kept. It's just really such 1295 01:13:57,120 --> 01:13:59,720 Speaker 1: a shame. But anyway, thanks Alan, thank you for your 1296 01:13:59,760 --> 01:14:03,240 Speaker 1: phone call. I appreciate it. That's a good thing. All right, 1297 01:14:03,800 --> 01:14:07,440 Speaker 1: um uh, let's go to Mark. This is an interesting 1298 01:14:07,520 --> 01:14:11,240 Speaker 1: phone call Mark, how are you doing well? I just 1299 01:14:11,320 --> 01:14:14,040 Speaker 1: wanted to tell you a little Christmas story. Okay, love 1300 01:14:14,120 --> 01:14:17,519 Speaker 1: Christmas stories. Well, it's one of the old old stories 1301 01:14:17,560 --> 01:14:20,920 Speaker 1: of Santa Claus in that he heard of a family 1302 01:14:20,960 --> 01:14:24,639 Speaker 1: where the father was poor and being pressured to sell 1303 01:14:24,720 --> 01:14:30,360 Speaker 1: his daughters into prostitution. So our hero Santa Claus one 1304 01:14:30,400 --> 01:14:34,920 Speaker 1: out got money. He traded in the church's silver and 1305 01:14:35,000 --> 01:14:38,080 Speaker 1: he gave the money to the family, but they didn't 1306 01:14:38,120 --> 01:14:41,719 Speaker 1: know it came from him. So he saved these daughters 1307 01:14:41,800 --> 01:14:46,840 Speaker 1: from prostitution by giving from the church. Is that right? 1308 01:14:47,560 --> 01:14:51,439 Speaker 1: Is right? You know I didn't know that story. I 1309 01:14:51,479 --> 01:14:53,800 Speaker 1: did not know that at all. That's an interesting perspective. 1310 01:14:53,920 --> 01:14:57,320 Speaker 1: I love Santa Claus. Now the Easter Bunny. I remember 1311 01:14:57,360 --> 01:14:59,400 Speaker 1: when my son was young and I'd say, you know, 1312 01:14:59,439 --> 01:15:01,120 Speaker 1: we had the host story for Santa Claus. We know 1313 01:15:01,160 --> 01:15:03,120 Speaker 1: where he lived, He had elves that helped him. He 1314 01:15:03,120 --> 01:15:05,120 Speaker 1: didn't do it all by himself. He had a missus 1315 01:15:05,120 --> 01:15:09,080 Speaker 1: clause right now. You know, then comes Easter right months 1316 01:15:09,120 --> 01:15:10,920 Speaker 1: after that, and you got to tell your kid what 1317 01:15:11,040 --> 01:15:13,120 Speaker 1: that there's a six foot bunny that hops around and 1318 01:15:13,160 --> 01:15:15,160 Speaker 1: leaves a bat I'm like, I asked him if I 1319 01:15:15,240 --> 01:15:17,240 Speaker 1: told you there's a six foot bunny that hops around 1320 01:15:17,240 --> 01:15:18,720 Speaker 1: and leaves a basket. Are you buying it? And he 1321 01:15:18,760 --> 01:15:20,760 Speaker 1: said no, And I'm like, okay, good because there's no 1322 01:15:20,840 --> 01:15:23,240 Speaker 1: other backstory. There's no backstory. I had nothing else to 1323 01:15:23,360 --> 01:15:26,360 Speaker 1: give him, nothing. But with Santa Claus, there's a whole story. 1324 01:15:26,840 --> 01:15:29,679 Speaker 1: There's a whole story. But anyway, that's interesting, Mark, Linda 1325 01:15:29,760 --> 01:15:32,519 Speaker 1: just sent me about the story, and I'm going to 1326 01:15:32,560 --> 01:15:34,599 Speaker 1: take a look at that. Christmas is weird. The strange 1327 01:15:34,640 --> 01:15:38,960 Speaker 1: connection between Santa and prostitution. Well, thank you for that. 1328 01:15:39,160 --> 01:15:41,040 Speaker 1: And I don't know. Let me ask you this, Mark, 1329 01:15:42,120 --> 01:15:47,000 Speaker 1: do we need to change Santa's image? We'll just have 1330 01:15:47,000 --> 01:15:50,040 Speaker 1: a pretty good one already. Well, this is speaking from 1331 01:15:50,040 --> 01:15:51,760 Speaker 1: a man's point of view who has appeared in a 1332 01:15:51,760 --> 01:15:54,559 Speaker 1: big belly. I think we're pretty good with the image. 1333 01:15:55,479 --> 01:15:59,840 Speaker 1: That's hilarious. Right, Thank you for your phone called Mark. 1334 01:15:59,840 --> 01:16:02,760 Speaker 1: I appreciate it. As I was saying before, we'll take 1335 01:16:02,760 --> 01:16:05,639 Speaker 1: a break here soon. As I was saying before, coming 1336 01:16:05,720 --> 01:16:08,880 Speaker 1: up later this hour is Katie Hopkins. We're gonna talk 1337 01:16:09,080 --> 01:16:11,639 Speaker 1: about a lot what's going on all over the world. 1338 01:16:11,720 --> 01:16:14,680 Speaker 1: My goodness, you're listening to the Sean Hannity Show. The 1339 01:16:14,680 --> 01:16:16,920 Speaker 1: phone number is eight hundred and nine four one, Sean. 1340 01:16:17,000 --> 01:16:19,719 Speaker 1: I'll take a few more phone calls, and my Twitter 1341 01:16:19,800 --> 01:16:23,080 Speaker 1: is at Rose Underscore Unplugged. Shawn's is at Sean Hannity 1342 01:16:23,400 --> 01:16:25,439 Speaker 1: and check me out at Rose unpluged dot com or 1343 01:16:25,479 --> 01:16:28,640 Speaker 1: on Facebook Rose Unplugged. We'll be back with more of 1344 01:16:28,640 --> 01:16:33,120 Speaker 1: the Sean Hannity Show right after this. Welcome back to 1345 01:16:33,200 --> 01:16:37,240 Speaker 1: the Sean Hannity Show. My name is Rose. Shawn's Twitter 1346 01:16:37,360 --> 01:16:41,200 Speaker 1: is at Sean Hannity. Mine is at Rose Underscore Unplugged. 1347 01:16:41,479 --> 01:16:45,080 Speaker 1: Love hearing from all of you. You're great and gracious audience. Oh, 1348 01:16:45,120 --> 01:16:48,800 Speaker 1: I got a lot of emails already through the website 1349 01:16:49,080 --> 01:16:51,880 Speaker 1: and they're asking for that list of accomplishments. I will 1350 01:16:51,920 --> 01:16:54,240 Speaker 1: send a link out to the Washington from the Washington 1351 01:16:54,320 --> 01:16:58,400 Speaker 1: Examiner and I will right up. I'll give you some 1352 01:16:58,439 --> 01:17:00,519 Speaker 1: of the details I talked about. I'll get that ready. 1353 01:17:00,560 --> 01:17:03,759 Speaker 1: I'll have it in a day or so. Anyway, let's 1354 01:17:03,800 --> 01:17:09,080 Speaker 1: go to Vince in Jersey City, New Jersey. How are you, Vince, Hey, 1355 01:17:09,120 --> 01:17:13,639 Speaker 1: Italian Rose, what's up? That's right on the side. Yeah, 1356 01:17:13,680 --> 01:17:16,360 Speaker 1: there you go. I just want to say a few quick, 1357 01:17:16,520 --> 01:17:19,000 Speaker 1: quick things. Number One, Trump had the Wall. He had 1358 01:17:19,040 --> 01:17:21,760 Speaker 1: the twenty five billion for the six hundred thousand dock 1359 01:17:21,840 --> 01:17:25,120 Speaker 1: of people. He wanted two million. That Blue dat deal. 1360 01:17:25,920 --> 01:17:28,400 Speaker 1: Another thing, he can get that money from the military. 1361 01:17:28,439 --> 01:17:31,120 Speaker 1: He gave Mattis seven hundred and fifty billion dollars. If 1362 01:17:31,160 --> 01:17:33,920 Speaker 1: Mattis can't give him twenty five, they don't consider these 1363 01:17:34,000 --> 01:17:39,040 Speaker 1: Caribbean security. Nothing is. Obama Care should have been repealed, 1364 01:17:39,080 --> 01:17:41,600 Speaker 1: Like Rand Paul said, from day one, by leaving a 1365 01:17:41,720 --> 01:17:45,480 Speaker 1: day without the mandate, it became more popular. These freeloaders 1366 01:17:45,479 --> 01:17:48,559 Speaker 1: can grab it when they didn't need it. They didn't 1367 01:17:48,560 --> 01:17:51,120 Speaker 1: have to pay anything, and they just now they could 1368 01:17:51,120 --> 01:17:53,519 Speaker 1: just sign up when they get sick. It's all free now. 1369 01:17:54,120 --> 01:17:56,879 Speaker 1: Number three, this crime bill. We didn't hire a Trump's 1370 01:17:56,880 --> 01:18:00,439 Speaker 1: son in law, a Democrat to make any polace see 1371 01:18:00,680 --> 01:18:04,400 Speaker 1: that crime bill is just absolutely awful. It's called first step. 1372 01:18:04,439 --> 01:18:06,800 Speaker 1: When the Democrats get in, there'll be second, third, and 1373 01:18:06,840 --> 01:18:11,719 Speaker 1: fourth steps. You got a heroin epidemic out here, and 1374 01:18:11,920 --> 01:18:14,240 Speaker 1: what you got is there's so much money in these 1375 01:18:14,280 --> 01:18:17,599 Speaker 1: people selling it. And here you've got an opioid you know, 1376 01:18:18,240 --> 01:18:21,080 Speaker 1: bill to help get opioids off the street and stuff. 1377 01:18:21,680 --> 01:18:23,559 Speaker 1: It's not going to help when you putting drug dealer 1378 01:18:23,640 --> 01:18:26,720 Speaker 1: is back on the street. Look at the Asian countries. 1379 01:18:26,760 --> 01:18:28,800 Speaker 1: They got drug deal as they lock them up for 1380 01:18:28,920 --> 01:18:32,680 Speaker 1: twenty five years, no, no questions asked, hard labor. That 1381 01:18:32,840 --> 01:18:35,440 Speaker 1: ends the drug problem. Go to Korea, go to Thailand. 1382 01:18:35,439 --> 01:18:40,759 Speaker 1: There's no drugs. Number four, let's be real, Lindsey Graham 1383 01:18:41,360 --> 01:18:45,120 Speaker 1: McCarthy that no friends of Trump them telling him wait 1384 01:18:45,200 --> 01:18:49,479 Speaker 1: until after the election, wait until bad policy. You see 1385 01:18:49,479 --> 01:18:52,439 Speaker 1: what happened now the Democrats get ie with that. I 1386 01:18:52,520 --> 01:18:55,599 Speaker 1: agree with last mule. This Muller should have been fired 1387 01:18:55,640 --> 01:18:58,760 Speaker 1: along with Sessions and Rosenstein right off the I don't 1388 01:18:58,760 --> 01:19:00,600 Speaker 1: know that he could have fired him though before the 1389 01:19:00,640 --> 01:19:02,760 Speaker 1: mid term. I'm not sure. I'm not sure that would 1390 01:19:02,760 --> 01:19:05,479 Speaker 1: have been a good move. I'm not sure it would 1391 01:19:05,520 --> 01:19:07,120 Speaker 1: ever be a good move. I have to tell you 1392 01:19:07,160 --> 01:19:10,920 Speaker 1: I'm not I'm not sure about that one. But yeah, 1393 01:19:10,960 --> 01:19:14,080 Speaker 1: you know, as long as Lindsey Graham understands why he 1394 01:19:14,160 --> 01:19:17,680 Speaker 1: became our favorite all of a sudden and why we 1395 01:19:17,760 --> 01:19:19,840 Speaker 1: enjoyed him as much as we did, is because he 1396 01:19:19,920 --> 01:19:22,120 Speaker 1: stood up during the Kavanaugh and he has to understand 1397 01:19:22,240 --> 01:19:25,360 Speaker 1: what it was we liked about his bravery and his courage, 1398 01:19:25,400 --> 01:19:28,799 Speaker 1: and and he needs to stay that course, stay that course. 1399 01:19:29,120 --> 01:19:31,800 Speaker 1: But anyway, he was badass then I thought he was 1400 01:19:31,840 --> 01:19:34,680 Speaker 1: really it was pretty good during the Kavanaugh hearings. I'm 1401 01:19:34,680 --> 01:19:38,880 Speaker 1: real quick, John from New York. Hello, thanks for taking 1402 01:19:38,920 --> 01:19:42,240 Speaker 1: my call. How are you good? How are you? I 1403 01:19:42,280 --> 01:19:46,040 Speaker 1: am very good, living the dream, avoiding the nightmares. You 1404 01:19:46,080 --> 01:19:49,760 Speaker 1: know what a real quick story because I heard on 1405 01:19:49,800 --> 01:19:53,519 Speaker 1: your show Trump's daughter in law speaking. Yeah, my family member, 1406 01:19:53,600 --> 01:19:57,960 Speaker 1: Donald worked on the Trump Tower some years ago. He 1407 01:19:58,000 --> 01:20:01,160 Speaker 1: was a metal polisher, so he polished up all him 1408 01:20:01,160 --> 01:20:05,000 Speaker 1: big beautiful brass doors. Well, one day Donald Trump comes 1409 01:20:05,040 --> 01:20:09,759 Speaker 1: walking out. My cousin just said hello. This man stopped, 1410 01:20:10,080 --> 01:20:15,200 Speaker 1: shook his hand, admired his work. He was very happy 1411 01:20:15,280 --> 01:20:18,200 Speaker 1: my cousin. Well, when next day this man, who is 1412 01:20:18,240 --> 01:20:24,240 Speaker 1: a multi millionaire, brought my labor cousin a cup of coffee, 1413 01:20:24,680 --> 01:20:28,439 Speaker 1: stopped and talked to him. No kidding, no kidding. Every 1414 01:20:29,160 --> 01:20:32,120 Speaker 1: morning he came out. He was a gentleman and a 1415 01:20:32,280 --> 01:20:37,160 Speaker 1: regular guy. And I feel bad that everybody is sort 1416 01:20:37,200 --> 01:20:41,120 Speaker 1: of against this man, and he is making every one 1417 01:20:41,160 --> 01:20:46,080 Speaker 1: of his promises come true. And he has my full support. 1418 01:20:46,600 --> 01:20:49,040 Speaker 1: You know, John, that was a sweet story. I really 1419 01:20:49,080 --> 01:20:50,800 Speaker 1: liked that. I'm glad I got your phone call, and 1420 01:20:51,560 --> 01:20:55,800 Speaker 1: I believe that about him. I'm sorry that for him 1421 01:20:55,960 --> 01:20:59,000 Speaker 1: and for the country that they hate him so much 1422 01:20:59,040 --> 01:21:01,639 Speaker 1: because because he won on the Republican take it. Because 1423 01:21:01,640 --> 01:21:04,880 Speaker 1: he wants to change business as usual. That's the biggie 1424 01:21:05,000 --> 01:21:07,719 Speaker 1: right there, Okay. And he doesn't want business as usual 1425 01:21:07,760 --> 01:21:10,840 Speaker 1: in DC, and that's what they're afraid of. And I'll 1426 01:21:10,840 --> 01:21:14,120 Speaker 1: tell you something. He I really I've said this a 1427 01:21:14,160 --> 01:21:16,360 Speaker 1: lot and a long time. He's not a Republican, not 1428 01:21:16,400 --> 01:21:18,759 Speaker 1: a Democrat. He's someone who loves this country. I truly 1429 01:21:18,800 --> 01:21:20,560 Speaker 1: believe that. And I think he looks at it and 1430 01:21:20,840 --> 01:21:23,559 Speaker 1: says problems and thinks I think I can fix that. 1431 01:21:23,920 --> 01:21:26,439 Speaker 1: I really do love you guys. Okay, we're coming back. 1432 01:21:26,640 --> 01:21:31,800 Speaker 1: When we come back, Katie Hopkins, you're gonna love this interview. Honestly, God, 1433 01:21:31,800 --> 01:21:34,160 Speaker 1: you're gonna love it. Not lying I like her. I 1434 01:21:34,160 --> 01:21:36,880 Speaker 1: think that's it. I'm a big fan of hers. Sean 1435 01:21:36,960 --> 01:21:40,880 Speaker 1: Hannity at Sean Hannity, Rose, at Rose Underscore, Unplugged, and 1436 01:21:40,960 --> 01:21:45,679 Speaker 1: Rose Unplugged on Facebook and on the web. Welcome back. 1437 01:21:45,720 --> 01:21:48,040 Speaker 1: It was so much fun being with you today. I 1438 01:21:48,080 --> 01:21:52,520 Speaker 1: always enjoy Sean's radio audience and listen just a reminder. 1439 01:21:52,800 --> 01:21:56,639 Speaker 1: His Twitter is at Sean Hannity. Mine is at Rose 1440 01:21:56,920 --> 01:22:00,760 Speaker 1: Underscore Unplugged, and my Facebook is Rose Plugged and you 1441 01:22:00,760 --> 01:22:03,080 Speaker 1: can check me out some of my podcasts at Rose 1442 01:22:03,240 --> 01:22:06,360 Speaker 1: unplugged dot com. Also, I just want to tell you 1443 01:22:06,360 --> 01:22:08,840 Speaker 1: that I had done an interview on my show Rose 1444 01:22:08,920 --> 01:22:12,200 Speaker 1: Unplugged a couple of days ago with the great Katie Hopkins, 1445 01:22:12,439 --> 01:22:14,240 Speaker 1: and it was so good that I just wanted to 1446 01:22:14,240 --> 01:22:17,800 Speaker 1: share it with you today on Sean's show. So here 1447 01:22:17,800 --> 01:22:21,639 Speaker 1: it is my interview with Katie Hopkins joining me today 1448 01:22:21,680 --> 01:22:25,600 Speaker 1: as an award winning documentary maker, calumnist for national newspapers, 1449 01:22:25,760 --> 01:22:29,160 Speaker 1: radio talk show host, and a best selling author. She's 1450 01:22:29,200 --> 01:22:32,519 Speaker 1: currently a contributor at The Rebel. Please welcome to the show, 1451 01:22:32,920 --> 01:22:34,679 Speaker 1: Katie Hopkins. And by the way, I want to mention 1452 01:22:34,760 --> 01:22:38,599 Speaker 1: that your book is called Rude, Am I right? All right, 1453 01:22:39,000 --> 01:22:40,800 Speaker 1: all right, And what I don't want people to do 1454 01:22:40,880 --> 01:22:42,559 Speaker 1: is read the book and then you know, be shocked 1455 01:22:42,560 --> 01:22:44,960 Speaker 1: by it. I think much better to put it on 1456 01:22:45,000 --> 01:22:48,519 Speaker 1: the front cover. I am quite direct, and that people 1457 01:22:48,520 --> 01:22:51,679 Speaker 1: can take the risks for themselves. Well, good for you. 1458 01:22:51,800 --> 01:22:55,120 Speaker 1: I follow you by the way on Twitter at Katie Hopkins, 1459 01:22:55,479 --> 01:22:58,080 Speaker 1: and I so much appreciate you know, your point of 1460 01:22:58,160 --> 01:23:00,600 Speaker 1: view so very often on One of the things that 1461 01:23:00,640 --> 01:23:03,519 Speaker 1: I saw most recently was your visit to Rome. And 1462 01:23:03,560 --> 01:23:05,840 Speaker 1: I have to say that my family is from Italy. 1463 01:23:05,920 --> 01:23:10,719 Speaker 1: Of course, I'm second generation here, but I absolutely love Italy. 1464 01:23:10,840 --> 01:23:12,720 Speaker 1: I'm there, gosh, I don't know, I've been there over 1465 01:23:12,760 --> 01:23:14,960 Speaker 1: a dozen times. I get there as much as I can. 1466 01:23:16,360 --> 01:23:18,280 Speaker 1: I was very happy to see and a lot of 1467 01:23:18,320 --> 01:23:23,400 Speaker 1: my conservative Italian friends agree with me. They're liking what 1468 01:23:23,479 --> 01:23:27,360 Speaker 1: they see in Salvini right now. Yes, Salvini is doing 1469 01:23:27,600 --> 01:23:31,479 Speaker 1: incredible things for Italy, and really it's all about his 1470 01:23:31,640 --> 01:23:35,120 Speaker 1: connection with the people. You know, Policies and all of 1471 01:23:35,160 --> 01:23:37,240 Speaker 1: that come second, and they're all very well and good, 1472 01:23:37,280 --> 01:23:38,920 Speaker 1: and he's doing what he said he would do. But 1473 01:23:39,040 --> 01:23:45,320 Speaker 1: he has this real connection with Italian, Italian fishermen, Italian farmers, 1474 01:23:45,640 --> 01:23:49,360 Speaker 1: and his message is very simple, exactly the same as Trump, 1475 01:23:49,400 --> 01:23:52,759 Speaker 1: of course, saying, you know, we will put Italy first. 1476 01:23:52,840 --> 01:23:57,280 Speaker 1: And as one example, he has reduced illegal immigration into 1477 01:23:57,320 --> 01:23:59,599 Speaker 1: the country in the six months he's been in office. 1478 01:23:59,600 --> 01:24:02,360 Speaker 1: He's used it by eighty one percent. Oh my goodness. 1479 01:24:02,479 --> 01:24:06,200 Speaker 1: Absolutely fantastic for the people of Italy. And standing there 1480 01:24:06,240 --> 01:24:10,519 Speaker 1: in that public square, the Piazza de Popolo, and it's 1481 01:24:10,560 --> 01:24:15,760 Speaker 1: just filled with Italians waving their flag, really proudly chanting 1482 01:24:15,800 --> 01:24:19,559 Speaker 1: his name. It really felt like a kind of Trump rally. 1483 01:24:19,640 --> 01:24:22,559 Speaker 1: It had that same feeling of people who really support 1484 01:24:22,600 --> 01:24:25,080 Speaker 1: the man and support their country, which is great to 1485 01:24:25,120 --> 01:24:27,559 Speaker 1: see in Western Europe. Well, when you first started talking 1486 01:24:27,600 --> 01:24:29,320 Speaker 1: about him, right now, you're talking about how he has 1487 01:24:29,320 --> 01:24:32,120 Speaker 1: that great connection with the people, how he's he said 1488 01:24:32,160 --> 01:24:33,519 Speaker 1: what he was going to do and he did it. 1489 01:24:34,000 --> 01:24:36,519 Speaker 1: When he talks about Italy first, and the first thing 1490 01:24:36,560 --> 01:24:38,680 Speaker 1: that came to my mind is he sounds exactly like 1491 01:24:38,960 --> 01:24:42,320 Speaker 1: President Trump, exactly. Nothing wrong with putting your country first. 1492 01:24:42,439 --> 01:24:44,880 Speaker 1: You're you're so right, and I think, you know, Trump 1493 01:24:44,920 --> 01:24:49,680 Speaker 1: has been very clear on that. I'm a proud nationalist, certainly, Salvini, 1494 01:24:49,840 --> 01:24:52,880 Speaker 1: I'm a proud nationalist. And I think as Britz and 1495 01:24:52,920 --> 01:24:55,919 Speaker 1: as Americans, you know, as part of the same family 1496 01:24:56,040 --> 01:24:59,920 Speaker 1: fighting for our countries respectively. You know, we do our 1497 01:25:00,000 --> 01:25:02,720 Speaker 1: ourselves a very big favor to say I am a 1498 01:25:02,800 --> 01:25:06,519 Speaker 1: proud nationalist. You know, I think it's important we use 1499 01:25:06,600 --> 01:25:10,519 Speaker 1: the word correctly. It's important that we use the word often, 1500 01:25:10,840 --> 01:25:13,479 Speaker 1: and it's important that we don't allow other people to 1501 01:25:13,520 --> 01:25:15,599 Speaker 1: tell us what that word means. When we know what 1502 01:25:15,640 --> 01:25:18,160 Speaker 1: we're saying. We're saying that we're patriots. You know that 1503 01:25:18,200 --> 01:25:21,120 Speaker 1: we support God in the land, that we will carry 1504 01:25:21,160 --> 01:25:23,200 Speaker 1: on standing up for what is right. And I think 1505 01:25:23,240 --> 01:25:26,879 Speaker 1: where that's why we're seeing this resurgence in proud Nationalist 1506 01:25:26,960 --> 01:25:30,400 Speaker 1: and what's been a joy, although very painful for Matt 1507 01:25:30,479 --> 01:25:33,000 Speaker 1: Crown in France last weekend you will have seen the 1508 01:25:33,560 --> 01:25:36,559 Speaker 1: yellow vest. Yes. Now, before we get to that, let 1509 01:25:36,600 --> 01:25:38,400 Speaker 1: me just I want to mention two things here. Well, 1510 01:25:38,439 --> 01:25:40,280 Speaker 1: First of all, you bring up a very good point, 1511 01:25:40,280 --> 01:25:42,320 Speaker 1: and I want to remind my listeners, do not be 1512 01:25:42,400 --> 01:25:45,960 Speaker 1: ashamed to call yourself a nationalist. That is precisely what 1513 01:25:46,000 --> 01:25:48,400 Speaker 1: the left wants to do to you is shame you 1514 01:25:48,520 --> 01:25:51,040 Speaker 1: from saying that because they know that when you say 1515 01:25:51,080 --> 01:25:54,280 Speaker 1: you're a nationalist, when a leader says that we should 1516 01:25:54,280 --> 01:25:57,000 Speaker 1: have pride in our country, that's scarcon because what the 1517 01:25:57,080 --> 01:26:00,160 Speaker 1: left wants are open borders, they want no distinctions aid 1518 01:26:00,479 --> 01:26:03,080 Speaker 1: and it's a game, and don't fall into their trap. 1519 01:26:03,200 --> 01:26:05,639 Speaker 1: Number two, I want to ask Katie one one more thing. 1520 01:26:06,080 --> 01:26:09,320 Speaker 1: We talk about Salvini cutting immigration by eighty one percent, 1521 01:26:09,400 --> 01:26:10,840 Speaker 1: just to stay on Italy with me, if you don't 1522 01:26:10,880 --> 01:26:13,080 Speaker 1: mind just for one more minute. Cutting immigration, and one 1523 01:26:13,080 --> 01:26:15,479 Speaker 1: of the things I noticed, one of the last trips 1524 01:26:15,520 --> 01:26:19,360 Speaker 1: I made to Italy was that there was a concern 1525 01:26:19,400 --> 01:26:24,599 Speaker 1: there that the indigenous, the Italians were being replaced by 1526 01:26:24,920 --> 01:26:28,439 Speaker 1: other nationalities because their birth rate, like much of Europe, 1527 01:26:28,479 --> 01:26:33,240 Speaker 1: is so very low right now, sou. And that's scary too, 1528 01:26:33,320 --> 01:26:35,080 Speaker 1: because you want to see, you want to see a 1529 01:26:35,080 --> 01:26:37,960 Speaker 1: country maintain those customs and the traditions and the you 1530 01:26:38,000 --> 01:26:40,880 Speaker 1: know what made them that country in the first place. 1531 01:26:41,240 --> 01:26:43,920 Speaker 1: Oh absolutely, And I think you know, if we think 1532 01:26:43,920 --> 01:26:46,720 Speaker 1: about the geography of where Italy sits, so it's in 1533 01:26:46,720 --> 01:26:51,479 Speaker 1: the Mediterranean, it is almost directly opposite Africa. So what 1534 01:26:51,600 --> 01:26:55,559 Speaker 1: was happening throughout twenty fifteen, twenty sixteen, twenty seventeen was 1535 01:26:55,640 --> 01:26:58,559 Speaker 1: all of these boats, who your listeners will remember, these 1536 01:26:58,600 --> 01:27:02,200 Speaker 1: boats going across them. And what happened effectively was a 1537 01:27:02,280 --> 01:27:05,840 Speaker 1: ferry service was operating with these do gooders, these left 1538 01:27:05,880 --> 01:27:09,559 Speaker 1: wing kind of NGOs. Let's save the world, let's welcome everyone, 1539 01:27:09,640 --> 01:27:13,240 Speaker 1: let's hug a migrant bringing over half of Africa. And 1540 01:27:13,320 --> 01:27:16,000 Speaker 1: the first place they landed, the first port they went to, 1541 01:27:17,000 --> 01:27:19,400 Speaker 1: was Italy, so I spent a lot of time on 1542 01:27:19,439 --> 01:27:22,840 Speaker 1: the coast of southern Italy with these migrants arriving in 1543 01:27:22,880 --> 01:27:27,320 Speaker 1: their thousands, and that's really what gave rise to Salveni 1544 01:27:27,400 --> 01:27:31,360 Speaker 1: being elected, was this real sense that Italians were being 1545 01:27:31,640 --> 01:27:34,919 Speaker 1: forced out, pushed out and taken over by these migrants 1546 01:27:34,920 --> 01:27:37,559 Speaker 1: who were on a very nice They were earning very 1547 01:27:37,640 --> 01:27:40,120 Speaker 1: nice the forty five euros a day put in some 1548 01:27:40,200 --> 01:27:43,920 Speaker 1: of the nicest hotels in southern Italy the Italians could 1549 01:27:43,960 --> 01:27:46,760 Speaker 1: not afford. And whilst I was there and they had 1550 01:27:46,760 --> 01:27:50,160 Speaker 1: a protest in the village because they said their WiFi 1551 01:27:50,360 --> 01:27:53,760 Speaker 1: was too slow. You know, these migrants that were not grateful. 1552 01:27:53,760 --> 01:27:56,080 Speaker 1: There is an arrogance about them because they used to 1553 01:27:56,120 --> 01:27:59,000 Speaker 1: being given what they wanted. So that's why Salvini has 1554 01:27:59,040 --> 01:28:01,800 Speaker 1: done so well. Well, that's interesting. Now let's get back 1555 01:28:01,800 --> 01:28:04,120 Speaker 1: to France, because that is something else I did want 1556 01:28:04,160 --> 01:28:07,920 Speaker 1: to discuss with you. The macron seems to be either 1557 01:28:08,240 --> 01:28:12,040 Speaker 1: arrogant or stupid, or I just or just a fool, 1558 01:28:12,280 --> 01:28:15,479 Speaker 1: or maybe all three. He doesn't understand what the people 1559 01:28:15,520 --> 01:28:17,320 Speaker 1: are going through, he doesn't understand what they're asking for 1560 01:28:17,520 --> 01:28:20,280 Speaker 1: his um. I believe his approval rate is at what 1561 01:28:20,479 --> 01:28:23,559 Speaker 1: twenty one, twenty six percent, twenty three percent. Okay, at 1562 01:28:23,560 --> 01:28:27,520 Speaker 1: the moment, twenty three percent approval rating. That is pathetic. 1563 01:28:28,120 --> 01:28:31,160 Speaker 1: And yet and yet when we talk about nationalism, he 1564 01:28:31,200 --> 01:28:35,040 Speaker 1: had the nerve, the nerve to attack our president and 1565 01:28:35,080 --> 01:28:38,599 Speaker 1: he did so in Avail. He wasn't even courageous enough 1566 01:28:38,600 --> 01:28:40,479 Speaker 1: to come right out and say what he was meaning. 1567 01:28:40,920 --> 01:28:43,240 Speaker 1: But we knew that he was attacking our president when 1568 01:28:43,320 --> 01:28:46,640 Speaker 1: he meant when he brought up nationalism. So he but 1569 01:28:46,760 --> 01:28:49,000 Speaker 1: yet his very p I think his people are asking 1570 01:28:49,040 --> 01:28:51,439 Speaker 1: for that same sense that you're seeing now in Italy 1571 01:28:51,720 --> 01:28:56,439 Speaker 1: that President Trump has where America is concerned. Um, what 1572 01:28:56,479 --> 01:28:59,120 Speaker 1: do you think he is all three or just doesn't 1573 01:28:59,120 --> 01:29:02,040 Speaker 1: care enough about? You're absolutely right? And I think what 1574 01:29:02,160 --> 01:29:04,519 Speaker 1: was so interesting is as I was stood in that 1575 01:29:04,600 --> 01:29:08,599 Speaker 1: square in Rome watching these millions of people chant Salvini's name, 1576 01:29:08,960 --> 01:29:13,680 Speaker 1: at the same time the yellow vetlej were rioting in 1577 01:29:13,760 --> 01:29:17,880 Speaker 1: Paris and across France, where eighty thousand police an army 1578 01:29:18,040 --> 01:29:21,200 Speaker 1: personnel was stationed to fight back on behalf of Macron. 1579 01:29:21,439 --> 01:29:25,400 Speaker 1: He's now appeared on state TV. He said that France 1580 01:29:25,479 --> 01:29:29,320 Speaker 1: is in a state of social and economic emergency. He 1581 01:29:29,479 --> 01:29:31,880 Speaker 1: tried to apologize but of course couldn't quite pull that 1582 01:29:31,960 --> 01:29:35,000 Speaker 1: off because he has about, you know, the emotional connection 1583 01:29:35,040 --> 01:29:37,760 Speaker 1: of a dead hamster. And then he would sort of 1584 01:29:37,840 --> 01:29:41,639 Speaker 1: roll back on all of the tax increases that he's 1585 01:29:41,680 --> 01:29:45,639 Speaker 1: been applying to the lowest or the poorest twenty percent 1586 01:29:45,800 --> 01:29:48,920 Speaker 1: in France. So absolutely the people have had enough of 1587 01:29:49,040 --> 01:29:52,960 Speaker 1: him and his arrogance. It is precisely that arrogance that 1588 01:29:53,320 --> 01:29:55,760 Speaker 1: the French and others can feel. You can feel the 1589 01:29:55,880 --> 01:29:58,639 Speaker 1: arrogance of the man and the way that he attacks Trump. 1590 01:29:58,960 --> 01:30:02,479 Speaker 1: Behind Trump, the citister gone in his car. Macron's up 1591 01:30:02,520 --> 01:30:04,599 Speaker 1: saying the opposite of what Trump would say. When Trump 1592 01:30:04,680 --> 01:30:09,080 Speaker 1: is sat beside Macron, he's like a small boy, simpering away, 1593 01:30:09,400 --> 01:30:11,960 Speaker 1: nodding to every think. Trump says he's one of those 1594 01:30:12,040 --> 01:30:15,599 Speaker 1: and I think he's intensely disliked m and the Jeans 1595 01:30:15,600 --> 01:30:18,760 Speaker 1: say they will continue to protest until he steps down 1596 01:30:18,760 --> 01:30:20,920 Speaker 1: as president. All right, let's can we clear would you 1597 01:30:20,920 --> 01:30:23,639 Speaker 1: clarify something for our audience because we're getting we get 1598 01:30:23,640 --> 01:30:27,640 Speaker 1: different reports here and the de LeJean, the Yellow Vess protesters, 1599 01:30:27,720 --> 01:30:30,280 Speaker 1: are they quite different than the ones that we heard. 1600 01:30:31,040 --> 01:30:34,400 Speaker 1: There were protesters in the street chanting for Trump. We 1601 01:30:34,400 --> 01:30:37,800 Speaker 1: weren't Trump. There's a couple of different things going on there. 1602 01:30:38,080 --> 01:30:42,320 Speaker 1: The de Lejeans are the the our antifar, right, aren't 1603 01:30:42,320 --> 01:30:46,760 Speaker 1: they desecrating the monuments there? Aren't they griffeeding places? You know? 1604 01:30:46,960 --> 01:30:51,120 Speaker 1: Long hold so for complete clarity, but it appears that 1605 01:30:51,160 --> 01:30:54,760 Speaker 1: the protesters that were chanting Trump weren't in France at all, 1606 01:30:55,080 --> 01:30:57,320 Speaker 1: and the police that were there in that video are 1607 01:30:57,439 --> 01:31:01,160 Speaker 1: that's an English police outfit. I think that was an 1608 01:31:01,160 --> 01:31:04,080 Speaker 1: English protest. I think there was some confusion, okay, marking 1609 01:31:04,080 --> 01:31:07,880 Speaker 1: that aside. The Lais Jeanne in the majority, in my view, 1610 01:31:08,200 --> 01:31:11,360 Speaker 1: are good people who are out just simply wearing the 1611 01:31:11,439 --> 01:31:15,160 Speaker 1: yellow vests, standing their ground, saying no, we can't afford 1612 01:31:15,200 --> 01:31:17,400 Speaker 1: these fuel texts because we need to drive to work. 1613 01:31:17,920 --> 01:31:21,599 Speaker 1: But in amongst those yellow vests there are obviously more 1614 01:31:21,720 --> 01:31:24,880 Speaker 1: violent elements. There's other elements that are using they kind 1615 01:31:24,880 --> 01:31:27,320 Speaker 1: of cover to do the damage. So there's all these 1616 01:31:27,320 --> 01:31:29,800 Speaker 1: different elements. But I think at their heart, the La 1617 01:31:29,920 --> 01:31:32,880 Speaker 1: jean and nothing like Antifa, they are ordinary men and women, 1618 01:31:32,960 --> 01:31:35,760 Speaker 1: thirty forty fifty year olds trying to say we can't 1619 01:31:35,800 --> 01:31:38,080 Speaker 1: afford to live in France anymore. I think that that 1620 01:31:38,120 --> 01:31:40,080 Speaker 1: would be my take. You know what, thank you for 1621 01:31:40,160 --> 01:31:42,680 Speaker 1: clarifying that. And of course this all has to do 1622 01:31:43,080 --> 01:31:48,040 Speaker 1: with global warming ideology that is held by mccrin and 1623 01:31:48,439 --> 01:31:51,400 Speaker 1: and yes, you know, and that's you know, something to 1624 01:31:51,520 --> 01:31:54,200 Speaker 1: remind those in this country. I am so grateful to 1625 01:31:54,360 --> 01:31:57,599 Speaker 1: our president who got us out of the Paris Accord. 1626 01:31:58,280 --> 01:32:01,800 Speaker 1: And since we've had the lowest scores, I mean, we're 1627 01:32:01,840 --> 01:32:04,599 Speaker 1: doing so well in terms of emissions and so forth, 1628 01:32:04,640 --> 01:32:06,880 Speaker 1: but we can we can do it on our own. 1629 01:32:07,000 --> 01:32:12,240 Speaker 1: We're smart enough, right enough, capable enough to to care 1630 01:32:12,240 --> 01:32:15,639 Speaker 1: for the environment and still move forward. But what people 1631 01:32:15,680 --> 01:32:18,040 Speaker 1: need to understand is this is what this is what happened. 1632 01:32:18,320 --> 01:32:21,439 Speaker 1: You know, when you've got this global warming ideology and 1633 01:32:21,520 --> 01:32:24,960 Speaker 1: it's promoted by your president and then people can't afford 1634 01:32:25,000 --> 01:32:28,840 Speaker 1: to live and France is expensive, Paris in particular is 1635 01:32:29,360 --> 01:32:32,880 Speaker 1: expensive enough. Let me tell you, um let alone being 1636 01:32:33,120 --> 01:32:36,879 Speaker 1: now this being imposed, these fuel taxes, oh absolutely corrected. 1637 01:32:37,200 --> 01:32:41,360 Speaker 1: You know what the Paris Climate Climate Accord basically does, 1638 01:32:41,400 --> 01:32:44,479 Speaker 1: as you would recognize your listeners will know, is transfer wealth. 1639 01:32:45,120 --> 01:32:48,799 Speaker 1: Transfers wealth from first world countries countries in Western Euprian 1640 01:32:48,840 --> 01:32:52,719 Speaker 1: America transfers it to Africa and third world countries which 1641 01:32:52,880 --> 01:32:55,320 Speaker 1: Trump has a particular name for which is probably not 1642 01:32:55,360 --> 01:32:58,479 Speaker 1: appropriate for the radio. And this transfer of wealth, that's 1643 01:32:58,520 --> 01:33:01,880 Speaker 1: precisely what Matt was doing when he imposed the fuel 1644 01:33:01,920 --> 01:33:04,160 Speaker 1: tax on his people, who was trying to share a 1645 01:33:04,439 --> 01:33:09,479 Speaker 1: global leader for the environmental cause. Meanwhile, honest, French people 1646 01:33:09,760 --> 01:33:12,000 Speaker 1: who have three quarters of whom who have to commute 1647 01:33:12,040 --> 01:33:14,680 Speaker 1: to work, are taxed on their fuel that they need 1648 01:33:14,720 --> 01:33:17,080 Speaker 1: to buy to get to work. And that's exactly that 1649 01:33:17,160 --> 01:33:19,360 Speaker 1: kind of globalist idea. One of the great things I 1650 01:33:19,439 --> 01:33:21,759 Speaker 1: just quickly wants to share with you. There's a massive 1651 01:33:21,840 --> 01:33:25,919 Speaker 1: kind of climate change global meeting going on in Poland 1652 01:33:26,000 --> 01:33:28,519 Speaker 1: right now, and because Poland doesn't deal with any of 1653 01:33:28,560 --> 01:33:32,720 Speaker 1: this nonsense, they brought no, they're brilliant. The Polish are fantastic. 1654 01:33:33,080 --> 01:33:36,640 Speaker 1: They brought out the coal mining band to welcome the 1655 01:33:36,760 --> 01:33:44,040 Speaker 1: environmentalist to Polanders. From Poland all the way, I love them. 1656 01:33:45,120 --> 01:33:47,840 Speaker 1: We had an exchange student live with us for a 1657 01:33:47,920 --> 01:33:51,880 Speaker 1: year from Poland and we've stayed very close with the family. 1658 01:33:52,000 --> 01:33:55,160 Speaker 1: A lot of conservatives there in Poland, as you as 1659 01:33:55,200 --> 01:33:57,479 Speaker 1: you could probably guess by what you've just said. Can 1660 01:33:57,520 --> 01:33:59,760 Speaker 1: you tell us what's going on in the UK right now? 1661 01:34:00,240 --> 01:34:03,439 Speaker 1: The heck. Oh oh my god, I mean I can't 1662 01:34:03,439 --> 01:34:06,559 Speaker 1: even begin, but I mean we should start somewhere as 1663 01:34:07,040 --> 01:34:10,080 Speaker 1: a top line in that wishing to bore your listeners 1664 01:34:10,080 --> 01:34:12,639 Speaker 1: with the very boring process of Brexit two and a 1665 01:34:12,640 --> 01:34:15,800 Speaker 1: half years ago. Goodness, I thought this was settled two 1666 01:34:15,800 --> 01:34:18,280 Speaker 1: and a half years ago. Gives me strength, as I 1667 01:34:18,400 --> 01:34:23,320 Speaker 1: love and years ago, me and seventeen point four million 1668 01:34:23,360 --> 01:34:26,120 Speaker 1: other people went out and voted to take our country back, 1669 01:34:26,160 --> 01:34:29,680 Speaker 1: to take our borders back, to enough of immigration in 1670 01:34:29,680 --> 01:34:32,120 Speaker 1: our country. And what's happened two and a half years 1671 01:34:32,200 --> 01:34:35,479 Speaker 1: later is we are still talking about it, and it 1672 01:34:35,520 --> 01:34:39,800 Speaker 1: would appear that the elite, the hour swamp, if you will, 1673 01:34:39,840 --> 01:34:43,720 Speaker 1: in Trump's terminology, is going to try. It looks like 1674 01:34:43,760 --> 01:34:48,360 Speaker 1: it will overturn the will of the people, is that 1675 01:34:48,439 --> 01:34:52,080 Speaker 1: Brexit won't happen, and our government is literally falling apart 1676 01:34:52,160 --> 01:34:55,599 Speaker 1: of the themes. Well, yeah, I understand Teresa May wanted 1677 01:34:55,640 --> 01:34:58,679 Speaker 1: to postpone the vote, and what the hell you guys 1678 01:34:58,680 --> 01:35:01,559 Speaker 1: did vote on this already God's sake, you know, but 1679 01:35:01,720 --> 01:35:03,639 Speaker 1: you know this is it, you know, that's that's our 1680 01:35:03,760 --> 01:35:06,160 Speaker 1: left in our country. You know, if they don't like 1681 01:35:06,280 --> 01:35:08,360 Speaker 1: the outcome, they just keep they either try to find 1682 01:35:08,439 --> 01:35:11,920 Speaker 1: something to to pin in our case, Russian collusion, which 1683 01:35:11,960 --> 01:35:14,439 Speaker 1: yet they've yet defined in almost three years now, you know, 1684 01:35:14,520 --> 01:35:17,800 Speaker 1: going on three years. So they will keep trying and 1685 01:35:17,880 --> 01:35:20,200 Speaker 1: keep doing what they do until they get the outcome 1686 01:35:20,240 --> 01:35:23,200 Speaker 1: that they want. It's so true, and it's so you know, 1687 01:35:23,200 --> 01:35:25,920 Speaker 1: one of the things I've observed having been in America, 1688 01:35:26,120 --> 01:35:28,800 Speaker 1: in California actually for your mid terms, watch what went 1689 01:35:28,840 --> 01:35:31,920 Speaker 1: on in Brower County. Watch the finding of the ballots, 1690 01:35:31,960 --> 01:35:35,320 Speaker 1: the endless finding of Democratic votes. Never a single Republican 1691 01:35:35,400 --> 01:35:38,400 Speaker 1: vote found. It seems when you watch that, what you 1692 01:35:38,479 --> 01:35:40,680 Speaker 1: learn and what you see, what you observe, is that 1693 01:35:40,760 --> 01:35:45,400 Speaker 1: people really want to believe in democracy. We genuinely want 1694 01:35:45,400 --> 01:35:48,879 Speaker 1: at a human level, we want to believe our vote counts. 1695 01:35:49,200 --> 01:35:53,000 Speaker 1: And when someone starts to show us factually or through evidence, 1696 01:35:53,120 --> 01:35:55,759 Speaker 1: or in Brower County, when boxes turn up where they shouldn't, 1697 01:35:56,120 --> 01:35:59,640 Speaker 1: we really we feel a sense of personal disappointment that 1698 01:35:59,720 --> 01:36:01,840 Speaker 1: what he thought was true isn't. It's almost like a 1699 01:36:01,960 --> 01:36:05,120 Speaker 1: child realizing there is no father Christmas. It's that kind 1700 01:36:05,120 --> 01:36:07,719 Speaker 1: of feeling that right, and that's how Britain feels right now. 1701 01:36:07,960 --> 01:36:10,400 Speaker 1: It feels like we were children that believed in Father Christmas, 1702 01:36:10,400 --> 01:36:14,120 Speaker 1: we believed in democracy, and we're really watching the fact 1703 01:36:14,120 --> 01:36:16,160 Speaker 1: that the will of the people counts for nothing in 1704 01:36:16,160 --> 01:36:19,280 Speaker 1: our country and it's a really depressing kind of feeling 1705 01:36:19,320 --> 01:36:21,719 Speaker 1: that's hanging over this country right now. We need people 1706 01:36:21,720 --> 01:36:23,599 Speaker 1: like you out there. It's so good to know you there, 1707 01:36:23,680 --> 01:36:25,680 Speaker 1: Arthur of the book Rude. You want to know what 1708 01:36:25,720 --> 01:36:28,880 Speaker 1: she's talking about. Get the book is Katie Hopkins and 1709 01:36:29,040 --> 01:36:32,479 Speaker 1: check her out on Twitter. I do Katie Hopkins. Katie 1710 01:36:32,479 --> 01:36:36,360 Speaker 1: Hopkins and her website is Rebel World Diet CEO Diet UK. 1711 01:36:36,600 --> 01:36:38,519 Speaker 1: Thank you very much. It's very very nice to speak 1712 01:36:38,560 --> 01:36:40,479 Speaker 1: to you, and thanks for calling through to the UK 1713 01:36:40,560 --> 01:36:42,360 Speaker 1: and hearing what we've got to say. You're a dog. 1714 01:36:42,439 --> 01:36:44,200 Speaker 1: Keep up the good work. All right. We'll be back 1715 01:36:44,240 --> 01:36:47,000 Speaker 1: with more right after this. Once again. That was Katie Hopkins, 1716 01:36:47,160 --> 01:36:49,800 Speaker 1: recorded on my show Rose Unplugged. Check it out at 1717 01:36:49,840 --> 01:36:53,000 Speaker 1: rosanplug dot com or Sean Hannity's page. We'll be right back, 1718 01:36:53,560 --> 01:36:55,479 Speaker 1: all right. It was such a great joy and pleasure 1719 01:36:55,520 --> 01:36:57,559 Speaker 1: to be with all of you. Thanks to Shine for 1720 01:36:57,640 --> 01:36:59,880 Speaker 1: allowing me to do this. Thanks to Linda and Ethan 1721 01:37:00,040 --> 01:37:02,720 Speaker 1: in New York, my producer Greg and don't forget to 1722 01:37:02,760 --> 01:37:05,720 Speaker 1: check me out on Twitter at Rose Underscore Unplugged, Rose 1723 01:37:05,800 --> 01:37:10,200 Speaker 1: unplugged on Facebook, Rose unplugged dot com, and Merry Christmas, 1724 01:37:10,280 --> 01:37:12,439 Speaker 1: Happy New Year. Thanks so much for being with us, 1725 01:37:12,840 --> 01:37:15,160 Speaker 1: Have a happy holiday and have a great night.