1 00:00:00,400 --> 00:00:04,519 Speaker 1: Stay right here for our final news roundup and information overload. 2 00:00:04,680 --> 00:00:08,000 Speaker 2: My news Roundup, Information Overload. Our are toll free telephone 3 00:00:08,039 --> 00:00:10,120 Speaker 2: numbers eight hundred ninety four one Sean, if you want 4 00:00:10,160 --> 00:00:13,200 Speaker 2: to be a part of the program, if you go 5 00:00:13,360 --> 00:00:16,720 Speaker 2: back the one hundred and seven days of Kamala Harris 6 00:00:16,760 --> 00:00:19,759 Speaker 2: and the coup or mini coop, whatever you want to 7 00:00:19,760 --> 00:00:22,840 Speaker 2: call it. To me, I think I have a pretty 8 00:00:22,840 --> 00:00:25,680 Speaker 2: clear picture, based on my sources of what actually went 9 00:00:25,720 --> 00:00:31,560 Speaker 2: on behind the scenes, and this was definitely a combination 10 00:00:32,200 --> 00:00:37,159 Speaker 2: of Nancy Pelosi, Chuck Schumer, and Barack Obama. I know 11 00:00:37,320 --> 00:00:40,479 Speaker 2: for a fact that Barack Obama and George Clooney are friends. 12 00:00:41,000 --> 00:00:44,279 Speaker 2: I don't believe George Clooney on his own wrote that 13 00:00:44,400 --> 00:00:47,080 Speaker 2: op ed in the New York Times calling for Joe 14 00:00:47,080 --> 00:00:50,360 Speaker 2: Biden to be a hero and step aside, and then 15 00:00:50,400 --> 00:00:53,640 Speaker 2: his idiotic commercial at the end was embarrassing. I don't 16 00:00:53,680 --> 00:00:58,120 Speaker 2: know whose was more embarrassing, his or Julia Roberts. I 17 00:00:58,120 --> 00:01:01,640 Speaker 2: don't believe it happened in a vacuum, and I believe 18 00:01:01,640 --> 00:01:04,880 Speaker 2: it was Nancy Pelosi that was the one that actually 19 00:01:04,920 --> 00:01:07,840 Speaker 2: delivered the message to Biden that if he stayed in 20 00:01:07,880 --> 00:01:12,679 Speaker 2: the race, that the Democrats, she would mobilize them and 21 00:01:12,760 --> 00:01:16,320 Speaker 2: invoke the twenty fifth Amendment. These are the same people 22 00:01:16,560 --> 00:01:21,880 Speaker 2: that saw Joe's cognitive decline that I started chronicling and 23 00:01:21,920 --> 00:01:25,760 Speaker 2: got criticized for even before the twenty twenty election. And 24 00:01:25,840 --> 00:01:28,679 Speaker 2: they all knew it, they all covered it up, they 25 00:01:28,720 --> 00:01:31,440 Speaker 2: all lied about it, and we really didn't have a 26 00:01:31,520 --> 00:01:35,760 Speaker 2: president that had his full faculties and the country saw it. 27 00:01:36,280 --> 00:01:38,520 Speaker 2: And for Kamala Harris to go through a campaign and 28 00:01:38,640 --> 00:01:42,160 Speaker 2: just not acknowledge the obvious just shows the level of 29 00:01:42,280 --> 00:01:45,320 Speaker 2: lying she was willing to go to. Just like claiming 30 00:01:45,360 --> 00:01:48,880 Speaker 2: that the border is secure, and just like claiming inflation 31 00:01:49,080 --> 00:01:52,600 Speaker 2: is transitory, and just like claiming that if Donald Trump 32 00:01:52,600 --> 00:01:55,120 Speaker 2: gets elected, old people are going to lose their social 33 00:01:55,200 --> 00:02:00,160 Speaker 2: security of Medicare. No, Donald Trump had only promised to 34 00:02:00,200 --> 00:02:03,840 Speaker 2: preserve it. He's going to institute Project twenty twenty five. No, 35 00:02:04,040 --> 00:02:06,840 Speaker 2: he doesn't even know what it is. He's going to 36 00:02:06,920 --> 00:02:11,560 Speaker 2: limit access to contraception. That that was her closing argument speech. No, 37 00:02:11,720 --> 00:02:14,240 Speaker 2: that's not true either. He's going to sign a national 38 00:02:14,240 --> 00:02:16,440 Speaker 2: abortion ban. No, that was never true. 39 00:02:16,480 --> 00:02:16,760 Speaker 3: Either. 40 00:02:17,080 --> 00:02:20,480 Speaker 2: He's against IVF treatment. No, that's not true either. The 41 00:02:20,520 --> 00:02:23,720 Speaker 2: reason the border's not secure is Donald Trump's fault. We 42 00:02:24,240 --> 00:02:26,600 Speaker 2: had on day one, we had a bill ready. That 43 00:02:26,639 --> 00:02:30,320 Speaker 2: bill was an amnesty bill that would allow another couple 44 00:02:30,320 --> 00:02:33,920 Speaker 2: of million illegal immigrants in the country every year, and 45 00:02:33,960 --> 00:02:36,400 Speaker 2: they didn't. They had the discretion not to ever even 46 00:02:36,480 --> 00:02:38,680 Speaker 2: enforce it. It was an amnesty bill, it was never 47 00:02:38,720 --> 00:02:42,480 Speaker 2: a border security bill. But Nancy Pelosi is now out 48 00:02:42,560 --> 00:02:46,200 Speaker 2: there trying to spin this as if it's Joe Biden's 49 00:02:46,200 --> 00:02:50,000 Speaker 2: fault and claiming that the Democrats could have won if 50 00:02:50,040 --> 00:02:51,680 Speaker 2: only Biden dropped out sooner. 51 00:02:51,919 --> 00:02:54,480 Speaker 4: Listen, well, I don't say she was said up to feel, 52 00:02:54,600 --> 00:02:56,639 Speaker 4: but let me just say this. We are only a 53 00:02:56,720 --> 00:03:00,720 Speaker 4: couple of days since the election. There'll be many reviews 54 00:03:00,800 --> 00:03:04,160 Speaker 4: of timing and the who, what, when, and why and 55 00:03:04,200 --> 00:03:08,160 Speaker 4: where as we go forward, and books will be written 56 00:03:08,200 --> 00:03:11,480 Speaker 4: about it. The fact is she did a great job 57 00:03:11,639 --> 00:03:15,200 Speaker 4: with the time constraint that she had. Had the president 58 00:03:15,280 --> 00:03:18,960 Speaker 4: gotten out sooner, there may have been other candidates in 59 00:03:19,000 --> 00:03:22,400 Speaker 4: the race. Kamala I think still would have won, but 60 00:03:22,440 --> 00:03:25,880 Speaker 4: she may have been stronger having taken her case to 61 00:03:25,960 --> 00:03:27,320 Speaker 4: the public sooner. 62 00:03:27,560 --> 00:03:31,600 Speaker 2: Yeah, Oh, okay, it's Joe's fault, not the fact that 63 00:03:31,639 --> 00:03:34,640 Speaker 2: you went in and pushed Joe out along with a 64 00:03:34,680 --> 00:03:37,600 Speaker 2: few other elitists, and you put somebody on the ticket 65 00:03:37,760 --> 00:03:40,720 Speaker 2: who didn't earn a single vote, and you didn't care 66 00:03:40,760 --> 00:03:44,560 Speaker 2: about Democratic primary voters and your party because you knew 67 00:03:44,600 --> 00:03:48,119 Speaker 2: better than they did. And then she tried to explain 68 00:03:48,200 --> 00:03:51,040 Speaker 2: that and said, well, Biden's endorsement of Kamala made it 69 00:03:51,080 --> 00:03:53,360 Speaker 2: almost impossible to have an open primary. 70 00:03:53,440 --> 00:03:54,400 Speaker 3: That's not true either. 71 00:03:55,080 --> 00:03:57,200 Speaker 2: If they wanted an open primary, they could have had 72 00:03:57,240 --> 00:04:00,480 Speaker 2: an open primary. And then of course we've got AMLO's 73 00:04:00,680 --> 00:04:05,040 Speaker 2: radicalism at everybody, you know, with the exception of this 74 00:04:05,120 --> 00:04:08,880 Speaker 2: show and very few others that heard her own words. 75 00:04:08,920 --> 00:04:11,240 Speaker 2: And thanks to all of you that that took up 76 00:04:11,280 --> 00:04:14,800 Speaker 2: the charge and spread it on social media and sent 77 00:04:14,920 --> 00:04:18,440 Speaker 2: it to your friend's family, co workers, you know, et cetera. 78 00:04:18,800 --> 00:04:21,440 Speaker 2: It had a big impact in informing people of my view. 79 00:04:22,040 --> 00:04:25,640 Speaker 2: But you know Nancy Pelosi and Pelosi saying that, oh, 80 00:04:26,000 --> 00:04:27,920 Speaker 2: he made it impossible to have a primary. 81 00:04:27,920 --> 00:04:30,720 Speaker 5: Listen, should there have been an open primary, then, well, see, 82 00:04:30,720 --> 00:04:33,240 Speaker 5: we thought that there would be, you know, it was 83 00:04:33,400 --> 00:04:37,400 Speaker 5: the anticipation was that if there, if the president were 84 00:04:37,440 --> 00:04:41,120 Speaker 5: to step aside, that there would be an open primary. 85 00:04:41,200 --> 00:04:44,120 Speaker 4: And as I say, Kamala and may have. I think 86 00:04:44,160 --> 00:04:46,360 Speaker 4: she would have done well in that and been stronger 87 00:04:46,520 --> 00:04:49,800 Speaker 4: going forward. But we don't know that that didn't happen. 88 00:04:50,120 --> 00:04:54,440 Speaker 4: We live with what happened. And because the President endorsed 89 00:04:54,800 --> 00:04:59,359 Speaker 4: Kamala Harris immediately, that really made it almost impossible to 90 00:04:59,480 --> 00:05:01,640 Speaker 4: have a primary at that time. 91 00:05:01,880 --> 00:05:06,119 Speaker 2: Wow, it's amazing how ignorant many people are. Some people 92 00:05:06,120 --> 00:05:07,840 Speaker 2: are beginning to get a little bit of it right. 93 00:05:07,920 --> 00:05:10,440 Speaker 2: Donald Brazil on ABC, this is what she said. 94 00:05:10,760 --> 00:05:13,400 Speaker 6: So it looks like Trump ran the fifty stage strategy 95 00:05:13,440 --> 00:05:15,400 Speaker 6: that the Democrats used to talk about. So we can 96 00:05:15,440 --> 00:05:18,080 Speaker 6: talk about messaging, we can talk about the map. We 97 00:05:18,120 --> 00:05:21,080 Speaker 6: can also talk about just was one hundred and seven 98 00:05:21,120 --> 00:05:23,359 Speaker 6: days enough? All of this should be on the table. 99 00:05:23,400 --> 00:05:25,839 Speaker 6: We're going to have a lot of introspection. I want 100 00:05:25,839 --> 00:05:28,040 Speaker 6: to say this, and I've lost my voice because clearly 101 00:05:28,360 --> 00:05:31,920 Speaker 6: you were talking a lot, but more importantly, but the 102 00:05:31,920 --> 00:05:35,400 Speaker 6: Democratic Party. I was there years ago when Donald Trump 103 00:05:35,560 --> 00:05:38,760 Speaker 6: defeated Hillary Clinton, and we looked at ourselves and said, 104 00:05:38,880 --> 00:05:41,720 Speaker 6: what the hell. We tried to stitch together the blue 105 00:05:41,760 --> 00:05:45,120 Speaker 6: Wall with almost glue. We need a duct tape and 106 00:05:45,200 --> 00:05:47,040 Speaker 6: a lot more. We got to do a better job 107 00:05:47,080 --> 00:05:49,440 Speaker 6: of reaching the voters where they are and not try 108 00:05:49,480 --> 00:05:52,760 Speaker 6: to make pretend that this was one simply because Donald 109 00:05:52,800 --> 00:05:53,800 Speaker 6: Trump is a better liar. 110 00:05:53,880 --> 00:05:54,120 Speaker 1: Wow. 111 00:05:54,520 --> 00:05:57,479 Speaker 2: Anyway, joining us now to discuss a good friend of 112 00:05:57,480 --> 00:05:59,920 Speaker 2: the program. Sean Spicer is with US former White House 113 00:06:00,120 --> 00:06:04,400 Speaker 2: US Secretary for President Trump, and he is now working 114 00:06:04,440 --> 00:06:06,560 Speaker 2: with Mark Alpern, who we've had on a number of 115 00:06:06,600 --> 00:06:10,080 Speaker 2: times now, and he's the host of the Shawn Spicer 116 00:06:10,160 --> 00:06:14,440 Speaker 2: podcast and the Morning Meeting with Mark Alpern, and they 117 00:06:14,440 --> 00:06:17,320 Speaker 2: were warning people, oh, you guys can listen to you know, 118 00:06:17,480 --> 00:06:20,560 Speaker 2: and buy into all the garbage that they're pedaling on 119 00:06:20,920 --> 00:06:23,640 Speaker 2: msdn C primetime, but none of it's going to be accurate. 120 00:06:24,120 --> 00:06:27,080 Speaker 3: And to that, I give Sean Spicer. 121 00:06:26,680 --> 00:06:29,159 Speaker 2: And you and Mark and everyone on your team a 122 00:06:29,160 --> 00:06:31,720 Speaker 2: lot of credit because you actually report a truth that 123 00:06:31,880 --> 00:06:33,840 Speaker 2: very few people in the media were willing to do. 124 00:06:34,000 --> 00:06:36,120 Speaker 7: Well. Thank you, Sean, I appreciate it. Happy Veterans Day 125 00:06:36,160 --> 00:06:40,200 Speaker 7: to you. I will just say that, and I was 126 00:06:40,240 --> 00:06:42,880 Speaker 7: posting this just a minute ago. Every Wednesday on my 127 00:06:42,920 --> 00:06:45,800 Speaker 7: podcast in the past two months, we did a segment 128 00:06:45,839 --> 00:06:48,000 Speaker 7: called Road to two seventy. We went through every single 129 00:06:48,040 --> 00:06:51,720 Speaker 7: state and we literally said, Okay, here is the most 130 00:06:51,760 --> 00:06:55,360 Speaker 7: recent data in every state, the early vote numbers, the 131 00:06:55,480 --> 00:06:59,159 Speaker 7: registration numbers, the trend in pulling. And I don't say 132 00:06:59,160 --> 00:07:02,440 Speaker 7: this to be like braggadocious, but we nailed it. It's public. 133 00:07:02,720 --> 00:07:05,040 Speaker 7: I'm on video for the last two months. I would 134 00:07:05,040 --> 00:07:07,280 Speaker 7: have been spectacically wrong if I had gotten this wrong. 135 00:07:07,320 --> 00:07:10,280 Speaker 7: But we went through every state and nailed it perfectly, 136 00:07:10,320 --> 00:07:13,520 Speaker 7: three hundred and twelve electoral votes. Not because I'm smarter 137 00:07:13,760 --> 00:07:17,240 Speaker 7: than anyone else, but because I actually based my decisions 138 00:07:17,280 --> 00:07:19,760 Speaker 7: on data, right. And everyone who says to me, how 139 00:07:19,760 --> 00:07:22,240 Speaker 7: did they get this so wrong? Well, if you looked 140 00:07:22,280 --> 00:07:24,800 Speaker 7: at the Iowa poll that showed her up three points, 141 00:07:24,800 --> 00:07:28,280 Speaker 7: and you said yourself, with just the smallest degree of logic, 142 00:07:28,800 --> 00:07:32,000 Speaker 7: this doesn't make sense. No other poll is reflecting this. 143 00:07:32,360 --> 00:07:35,360 Speaker 7: The early vote numbers, the registration numbers don't comport with this. 144 00:07:35,840 --> 00:07:39,000 Speaker 7: It's clearly wrong, right, But the media ran with it 145 00:07:39,120 --> 00:07:42,880 Speaker 7: because you will ignore facts if they were if they 146 00:07:42,920 --> 00:07:45,880 Speaker 7: didn't support Donald Trump. And where I was different on 147 00:07:45,960 --> 00:07:49,640 Speaker 7: this was that if I had discussions about in Hampshire, 148 00:07:49,640 --> 00:07:51,480 Speaker 7: I would have loved to have seen him win. But 149 00:07:51,600 --> 00:07:53,680 Speaker 7: everyone that I talked to in the data that I 150 00:07:53,720 --> 00:07:55,600 Speaker 7: looked at suggested that it would be close, but he 151 00:07:55,640 --> 00:07:59,960 Speaker 7: probably wouldn't pull it out right, And I made analysis 152 00:08:00,120 --> 00:08:03,680 Speaker 7: is based on facts. The media hates Donald Trump so 153 00:08:03,800 --> 00:08:07,640 Speaker 7: much that they will ignore any facts that benefits him. 154 00:08:07,680 --> 00:08:11,080 Speaker 7: And that's why I keep saying this to Sean, to you, Sean, 155 00:08:11,440 --> 00:08:13,160 Speaker 7: to people who will listen. If you're not listening to 156 00:08:13,160 --> 00:08:15,360 Speaker 7: Sean Handedy or Shawn Spicer, I mean, I think it's 157 00:08:15,400 --> 00:08:19,560 Speaker 7: just a sewn thing, then it's your faulted The New 158 00:08:19,640 --> 00:08:22,280 Speaker 7: York all right, and CNN are not going to give 159 00:08:22,280 --> 00:08:23,080 Speaker 7: you the facts. 160 00:08:23,320 --> 00:08:25,480 Speaker 2: All right, quick break, We'll come right back more with 161 00:08:25,560 --> 00:08:28,360 Speaker 2: our friend Shawn Spicer, former White House Press Secretary for 162 00:08:28,440 --> 00:08:32,520 Speaker 2: President Trump, host of the Shawn Spicer Podcast and the 163 00:08:32,600 --> 00:08:38,880 Speaker 2: Morning Meeting with Mark Halprin. All Right, we continue with 164 00:08:38,960 --> 00:08:41,360 Speaker 2: Shawn Spicer. We'll get to your calls coming up as well. 165 00:08:41,360 --> 00:08:43,400 Speaker 2: Eight hundred and nine four one. Shawn is on number 166 00:08:43,400 --> 00:08:44,800 Speaker 2: if you want to be a part of the program. 167 00:08:45,120 --> 00:08:48,880 Speaker 2: So great minds, think alike. And for me, it was 168 00:08:48,920 --> 00:08:49,760 Speaker 2: a numbers game. 169 00:08:50,280 --> 00:08:50,480 Speaker 7: Now. 170 00:08:50,520 --> 00:08:53,000 Speaker 2: The day before election Day, I was on Fox and Friends. 171 00:08:53,040 --> 00:08:55,880 Speaker 2: The day of Election Day, I was on America's Newsroom, 172 00:08:56,440 --> 00:09:00,400 Speaker 2: and that morning I said to Bill Hammer and to 173 00:09:00,559 --> 00:09:04,120 Speaker 2: Data Perino, I said, going into today, because we were 174 00:09:04,160 --> 00:09:07,320 Speaker 2: looking at the exact same data I was paying attention to. 175 00:09:07,400 --> 00:09:07,760 Speaker 3: Poles. 176 00:09:08,000 --> 00:09:11,319 Speaker 2: Poles were pretty consistent. The people that did the best again, 177 00:09:11,679 --> 00:09:16,679 Speaker 2: Matt Towry, Robert Kaheley, Atlas did very well, a couple 178 00:09:16,679 --> 00:09:19,840 Speaker 2: of others, but so many others got it wrong. Those 179 00:09:19,880 --> 00:09:22,160 Speaker 2: were great, but those weren't the numbers that I was 180 00:09:22,200 --> 00:09:25,240 Speaker 2: paying the most attention to. I knew by the time 181 00:09:25,320 --> 00:09:27,240 Speaker 2: I went on the air at nine point thirty nine 182 00:09:27,280 --> 00:09:30,160 Speaker 2: on Fox News on election night, I said, let me 183 00:09:30,160 --> 00:09:31,959 Speaker 2: tell you how I think the rest of this night 184 00:09:32,080 --> 00:09:35,480 Speaker 2: is going to unfold. And it was all based on data. 185 00:09:36,000 --> 00:09:38,600 Speaker 2: And I said, if I'm wrong, I may be getting 186 00:09:38,600 --> 00:09:40,679 Speaker 2: over my skis here. But I said it with one 187 00:09:40,720 --> 00:09:44,239 Speaker 2: hundred percent confidence for the same reason you had confidence. 188 00:09:44,400 --> 00:09:47,520 Speaker 2: Mark Halprin had confidence. And and by the way I 189 00:09:47,559 --> 00:09:50,520 Speaker 2: called Mark, I said, am I missing anything? Because I 190 00:09:50,520 --> 00:09:52,240 Speaker 2: thought you guys had done such a good job. And 191 00:09:52,280 --> 00:09:55,200 Speaker 2: I talked to you numerous times throughout this process, and 192 00:09:55,240 --> 00:09:58,280 Speaker 2: I said, Georgia and North We're going to be calling 193 00:09:58,320 --> 00:10:01,640 Speaker 2: Georgia North Carolina soon because I have people, numbers cruncheres 194 00:10:01,720 --> 00:10:04,080 Speaker 2: that know the state, and I knew the numbers going 195 00:10:04,120 --> 00:10:07,880 Speaker 2: in Okay, Arizona was never going to go to Kamala Harrison. 196 00:10:07,920 --> 00:10:09,880 Speaker 2: It was likely Nevada was going to be ours too. 197 00:10:10,040 --> 00:10:12,480 Speaker 2: We ended up being right, and then I knew in 198 00:10:12,559 --> 00:10:17,120 Speaker 2: Wisconsin it was a similar situation that mathematically they would 199 00:10:17,160 --> 00:10:20,119 Speaker 2: have to turn out numbers that we'd never seen Democrats 200 00:10:20,160 --> 00:10:24,000 Speaker 2: turn out on election day before, and Pennsylvania was the 201 00:10:24,840 --> 00:10:27,520 Speaker 2: easy one. And then I said, if I am right, 202 00:10:27,760 --> 00:10:30,280 Speaker 2: that means that she would need to sweep the blue wall. 203 00:10:30,440 --> 00:10:32,679 Speaker 2: And then I went through the exact numbers that you 204 00:10:32,720 --> 00:10:36,000 Speaker 2: and I are describing on air and said it is 205 00:10:36,280 --> 00:10:40,120 Speaker 2: not going to happen, and that everyone looked at me like, oh, 206 00:10:40,160 --> 00:10:42,520 Speaker 2: you're going out over You're going out on a limb here. 207 00:10:42,520 --> 00:10:45,199 Speaker 2: And it was all numbers game for me, and I 208 00:10:45,720 --> 00:10:48,920 Speaker 2: had really good sources. That's how I figured it out, right. 209 00:10:48,960 --> 00:10:52,440 Speaker 7: But see, this is the thing I wanted, you know, 210 00:10:52,440 --> 00:10:54,920 Speaker 7: I'd love Donald Trump this to win all fifty states, 211 00:10:55,240 --> 00:10:57,319 Speaker 7: but there were clearly ones that I said, okay, based 212 00:10:57,360 --> 00:10:59,160 Speaker 7: on the data, he won't win here, but he will 213 00:10:59,200 --> 00:11:02,079 Speaker 7: win this. He will in this based on exactly And 214 00:11:02,120 --> 00:11:03,880 Speaker 7: it's funny how many of the same people that you 215 00:11:03,920 --> 00:11:07,000 Speaker 7: and I talk to overlap because If you really want 216 00:11:07,040 --> 00:11:09,240 Speaker 7: an answer, you talk to the people on the ground 217 00:11:09,280 --> 00:11:11,040 Speaker 7: who are running numbers. I talk to the folks at 218 00:11:11,040 --> 00:11:13,920 Speaker 7: America First Works who are literally saying this is the 219 00:11:14,040 --> 00:11:16,840 Speaker 7: number of low propensity voters. Like when someone says we 220 00:11:16,920 --> 00:11:19,400 Speaker 7: don't know how many low propensity voters I e. Those 221 00:11:19,400 --> 00:11:22,600 Speaker 7: people only vote in one or two of four elections, 222 00:11:22,880 --> 00:11:26,439 Speaker 7: that's not true. There are people knocking on doors America 223 00:11:26,520 --> 00:11:30,720 Speaker 7: First Works, elon must super pac that will tell you, well, 224 00:11:30,760 --> 00:11:33,600 Speaker 7: here's how many people are answering our call, are committing 225 00:11:33,640 --> 00:11:36,480 Speaker 7: to vote. This is the hot number of high propensity voters. 226 00:11:36,520 --> 00:11:39,080 Speaker 7: These are the low right. So the problem is is 227 00:11:39,120 --> 00:11:42,160 Speaker 7: that most reporters frankly, don't have a clue who these 228 00:11:42,160 --> 00:11:45,160 Speaker 7: people are. They don't understand it, and their extent of 229 00:11:45,240 --> 00:11:48,839 Speaker 7: reporting is reading a public poll and saying, oh, she's up, 230 00:11:48,880 --> 00:11:52,480 Speaker 7: she's down, and they don't want to actually take the 231 00:11:52,559 --> 00:11:55,760 Speaker 7: time to find out what's happening. And that's where, like 232 00:11:55,800 --> 00:11:58,200 Speaker 7: I said, I get pro frustrated these days when people 233 00:11:58,240 --> 00:12:02,360 Speaker 7: say everybody miss this, I'm like, no, everybody didn't. I 234 00:12:02,480 --> 00:12:05,440 Speaker 7: got this right Handity got this right right. The people 235 00:12:05,440 --> 00:12:09,840 Speaker 7: who took the time to understand the data behind what 236 00:12:10,040 --> 00:12:14,400 Speaker 7: goes into an election knew because they were willing to 237 00:12:14,520 --> 00:12:17,240 Speaker 7: be guided by facts, not by vibes. 238 00:12:17,679 --> 00:12:21,479 Speaker 2: Well, I appreciate the work that you did. I appreciate 239 00:12:21,520 --> 00:12:24,480 Speaker 2: the work that Mark did. And I noticed that there 240 00:12:24,520 --> 00:12:27,600 Speaker 2: were very, very few of us that were looking at 241 00:12:27,600 --> 00:12:32,679 Speaker 2: that information. There were a couple of Matt Towry, Robert Kahley. 242 00:12:33,720 --> 00:12:37,160 Speaker 2: I don't know the people at Atlas Polling, but they've 243 00:12:37,280 --> 00:12:39,920 Speaker 2: they've been very accurate in the last three cycles, like 244 00:12:40,559 --> 00:12:44,400 Speaker 2: Hefalgar and like Inside or Advantage. But the reality is 245 00:12:44,480 --> 00:12:48,040 Speaker 2: this information was public information. If people wanted to find it, 246 00:12:48,080 --> 00:12:51,360 Speaker 2: they would have known. And why the Democratic Party put 247 00:12:51,440 --> 00:12:55,240 Speaker 2: their head in the sand. You know, it's my numbing 248 00:12:55,240 --> 00:12:58,240 Speaker 2: to me, and that's why I keep saying legacy media 249 00:12:58,280 --> 00:12:58,680 Speaker 2: is dead. 250 00:12:58,840 --> 00:12:59,360 Speaker 3: It's done. 251 00:12:59,600 --> 00:13:03,600 Speaker 2: Yes, nobody cared about all their entire narrative about Donald 252 00:13:03,640 --> 00:13:05,000 Speaker 2: Trump for nine years. 253 00:13:05,440 --> 00:13:07,040 Speaker 3: Nobody paid attention. 254 00:13:07,280 --> 00:13:11,280 Speaker 2: They didn't care, and they didn't like being called garbage, Nazis, 255 00:13:11,720 --> 00:13:13,439 Speaker 2: racist and fascist either. 256 00:13:13,520 --> 00:13:16,439 Speaker 7: I'll say two things. One on what you were saying 257 00:13:16,520 --> 00:13:19,600 Speaker 7: before we started chatting. I hope they're right. I hope 258 00:13:19,600 --> 00:13:22,640 Speaker 7: this analysis that Pelosi that you played is right. I 259 00:13:22,679 --> 00:13:24,760 Speaker 7: hope they put their head in their sand and that 260 00:13:24,800 --> 00:13:26,880 Speaker 7: they ignore all of the warning signs that have been 261 00:13:26,880 --> 00:13:29,280 Speaker 7: going off, because that, to me would be awesome. I 262 00:13:29,320 --> 00:13:31,480 Speaker 7: hope they don't take the time to have the introspection 263 00:13:31,640 --> 00:13:34,080 Speaker 7: to look at what really happened. And the second thing is, 264 00:13:34,120 --> 00:13:37,640 Speaker 7: and you and I have talked about my role as 265 00:13:37,640 --> 00:13:42,520 Speaker 7: press secretary, I hope this next administration listens to what 266 00:13:42,559 --> 00:13:44,559 Speaker 7: you just said. I've got an op ed coming out 267 00:13:44,559 --> 00:13:47,280 Speaker 7: on this. I'm going to give my unsolicited advice to 268 00:13:47,320 --> 00:13:49,920 Speaker 7: the next press secretary. I hope they shake up the 269 00:13:49,920 --> 00:13:53,560 Speaker 7: briefing room and focus on independent media and long form 270 00:13:53,600 --> 00:13:56,320 Speaker 7: podcasts the way that President Trump and his campaign so 271 00:13:56,440 --> 00:14:00,520 Speaker 7: effectively did right. The legacy media, to your point, is dead. 272 00:14:00,720 --> 00:14:03,599 Speaker 7: Why do you need to cater to the New York Times, CBS, 273 00:14:03,640 --> 00:14:08,040 Speaker 7: the Washington Post. Focus on new media where this is happening. 274 00:14:08,440 --> 00:14:11,200 Speaker 7: I just I think this is these guys can come 275 00:14:11,280 --> 00:14:14,560 Speaker 7: into the briefing room and say, instead of calling on 276 00:14:15,040 --> 00:14:18,480 Speaker 7: Jonathan Carl at ABC News or whomever, you start to 277 00:14:18,520 --> 00:14:21,960 Speaker 7: call on new media types that where President Trump was 278 00:14:22,000 --> 00:14:25,400 Speaker 7: really effective. I think there's an opportunity to shake things 279 00:14:25,480 --> 00:14:28,520 Speaker 7: up and do things differently like never before. Because of 280 00:14:28,600 --> 00:14:33,800 Speaker 7: the impact that President Trump had on new independent media 281 00:14:35,160 --> 00:14:37,440 Speaker 7: that they were so successful on the campaign. 282 00:14:37,800 --> 00:14:40,840 Speaker 2: Don Spicer, great job, a great job to you and 283 00:14:40,960 --> 00:14:43,960 Speaker 2: to Mark Calpern. Send my best to both of you. 284 00:14:44,080 --> 00:14:48,360 Speaker 2: And you know what, I think the media now will 285 00:14:48,400 --> 00:14:51,840 Speaker 2: forever be changed. And I said in two thousand and seven, 286 00:14:51,920 --> 00:14:57,040 Speaker 2: journalisms dead now, Legacy media is dead, gone buried. They 287 00:14:57,080 --> 00:14:59,720 Speaker 2: have lost all the trust of the American people because 288 00:14:59,760 --> 00:15:03,560 Speaker 2: nob he listened to them. Celebrity endorsements, same thing. Anyway, 289 00:15:03,600 --> 00:15:06,200 Speaker 2: We appreciate you, Sean, Thank you so much, my friend. 290 00:15:06,200 --> 00:15:11,880 Speaker 2: We'll be in touch in the days to come. All right, 291 00:15:11,960 --> 00:15:13,680 Speaker 2: twenty five now till the top of the hour, eight 292 00:15:13,760 --> 00:15:15,680 Speaker 2: hundred and nine four one. Shawn is on number. If 293 00:15:15,720 --> 00:15:17,840 Speaker 2: you want to be a part of the program. Look, 294 00:15:18,000 --> 00:15:20,000 Speaker 2: if you want to talk to people that know about 295 00:15:20,040 --> 00:15:23,360 Speaker 2: security systems, who do you think the smart people are? Well, 296 00:15:23,360 --> 00:15:25,240 Speaker 2: that would be people the brave men and women that 297 00:15:25,280 --> 00:15:26,400 Speaker 2: work in law enforcement. 298 00:15:26,840 --> 00:15:27,040 Speaker 8: Now. 299 00:15:27,080 --> 00:15:30,080 Speaker 2: One veteran officer recently wrote to our friends at Simply 300 00:15:30,120 --> 00:15:34,040 Speaker 2: Safe Home Security thanking them for the peace of mind 301 00:15:34,200 --> 00:15:37,640 Speaker 2: that he has every time he has to leave his house. Now, 302 00:15:37,680 --> 00:15:41,960 Speaker 2: he's worked on everything from burglaries, home invasions, murders, and 303 00:15:42,040 --> 00:15:45,520 Speaker 2: he trusts simply Save home Security. Now listen to this 304 00:15:46,320 --> 00:15:48,680 Speaker 2: right now, you're going to get sixty percent off a 305 00:15:48,800 --> 00:15:53,400 Speaker 2: new simply Safe security system. You go to simplysafe dot com. 306 00:15:53,560 --> 00:15:57,520 Speaker 2: Slash Hannity and I have had a simply Safe system 307 00:15:57,560 --> 00:15:59,640 Speaker 2: for years and what I love about it is their 308 00:15:59,680 --> 00:16:03,520 Speaker 2: technic gets better and better. They have added their active 309 00:16:03,600 --> 00:16:07,760 Speaker 2: guard outdoor protection. Now it's a game changer. It can 310 00:16:07,760 --> 00:16:11,160 Speaker 2: help prevent crimes before they ever happen. If somebody is 311 00:16:11,200 --> 00:16:15,840 Speaker 2: lurking around acting suspiciously while you have agents live agents 312 00:16:16,080 --> 00:16:18,680 Speaker 2: that will see them in real time, talk to them 313 00:16:18,720 --> 00:16:22,080 Speaker 2: directly in real time. They can set off your spotlights 314 00:16:22,080 --> 00:16:24,120 Speaker 2: and even call the police before they ever have a 315 00:16:24,200 --> 00:16:27,120 Speaker 2: chance to break in. 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Now this is their 324 00:16:48,640 --> 00:16:52,960 Speaker 2: best offer of the year, sixty percent off any new 325 00:16:53,080 --> 00:16:56,440 Speaker 2: system with a select professional monitoring plan like I have 326 00:16:57,120 --> 00:17:01,720 Speaker 2: go to simplysafe dot com slash Hannity, simply dot com 327 00:17:01,760 --> 00:17:06,240 Speaker 2: slash Hannity, because there's no safe like simply safe. So 328 00:17:06,760 --> 00:17:09,479 Speaker 2: when Donald Trump gets in office. Now we've talked about 329 00:17:09,840 --> 00:17:13,800 Speaker 2: all the different gang members, thirteen thousand murderers, we have 330 00:17:13,920 --> 00:17:18,080 Speaker 2: known terrorists in the country, the cartels. I have scrolled 331 00:17:18,240 --> 00:17:22,199 Speaker 2: over and over and over and over again on television 332 00:17:22,720 --> 00:17:26,280 Speaker 2: the names of the dozens and dozens of people that 333 00:17:26,320 --> 00:17:30,640 Speaker 2: have been murdered by these Harris Biden, allegedly by these 334 00:17:30,680 --> 00:17:34,560 Speaker 2: Harris Biden unvetted illegal immigrants, and that's how it gets 335 00:17:34,560 --> 00:17:37,840 Speaker 2: reported in the media. And we have named, we have 336 00:17:38,280 --> 00:17:41,159 Speaker 2: listed the names of all of those people that have 337 00:17:41,240 --> 00:17:45,399 Speaker 2: been raped, dozens of our fellow citizens, and nobody seems 338 00:17:45,440 --> 00:17:48,280 Speaker 2: to pay attention. Nobody seemed to care. Wasn't an issue 339 00:17:49,000 --> 00:17:51,400 Speaker 2: that it should. It was an issue for Donald Trump. 340 00:17:51,480 --> 00:17:53,960 Speaker 2: It was an issue in their campaign ads. We know 341 00:17:54,080 --> 00:17:57,200 Speaker 2: the namesake in Riley, we know the name Joscelyn Nungary, 342 00:17:57,840 --> 00:18:00,280 Speaker 2: we know the name you know, Rachel Moore, You're in. 343 00:18:00,800 --> 00:18:03,800 Speaker 2: But there are dozens more. And then there are hundreds 344 00:18:03,800 --> 00:18:07,720 Speaker 2: and hundreds and hundreds of other Americans victims of crimes 345 00:18:08,080 --> 00:18:11,200 Speaker 2: because you have the gang members, you have the cartel members. 346 00:18:11,680 --> 00:18:15,840 Speaker 2: Now Donald Trump is going to deport these people and 347 00:18:15,880 --> 00:18:18,120 Speaker 2: get them out of our country. I don't know how 348 00:18:18,119 --> 00:18:20,040 Speaker 2: we're going to find the known. We know they are 349 00:18:20,119 --> 00:18:24,600 Speaker 2: terrorists in the country. We know there's Iranian assassination squads 350 00:18:24,640 --> 00:18:28,719 Speaker 2: in the country. Our country is in jeopardy. Our citizens 351 00:18:28,840 --> 00:18:32,000 Speaker 2: are victims of crimes that should never have happened. I've 352 00:18:32,000 --> 00:18:35,240 Speaker 2: said it before, I'll say it again. Harris and Biden 353 00:18:35,280 --> 00:18:37,640 Speaker 2: have blood on their hands, and they do. And if 354 00:18:37,640 --> 00:18:41,120 Speaker 2: this country, God forbid, has ever attacked because of one 355 00:18:41,160 --> 00:18:45,440 Speaker 2: of their unvetted illegal immigrants that they've allowed in from 356 00:18:45,440 --> 00:18:48,480 Speaker 2: over one hundred and eighty countries, they will have even 357 00:18:48,520 --> 00:18:51,000 Speaker 2: more blood on their hands. I pray to God I'm wrong. 358 00:18:51,080 --> 00:18:53,560 Speaker 2: I pray it never happens. But I think it's a 359 00:18:53,600 --> 00:18:56,359 Speaker 2: matter of when, not a matter of if. But again 360 00:18:56,440 --> 00:18:59,119 Speaker 2: I pray I'm wrong. You know, look at all the 361 00:18:59,200 --> 00:19:04,000 Speaker 2: children that have been raped, or the children being smuggled 362 00:19:04,440 --> 00:19:07,679 Speaker 2: into the country at the border. You know, but a 363 00:19:07,680 --> 00:19:12,960 Speaker 2: lot of gang members would use children as pawns to say, oh, 364 00:19:13,040 --> 00:19:16,359 Speaker 2: we're family members were seeking asylum, and they're not even 365 00:19:16,400 --> 00:19:19,400 Speaker 2: related to the children, and they scare the hell out 366 00:19:19,400 --> 00:19:21,520 Speaker 2: of these kids. Never mind the trafficking that we have 367 00:19:21,600 --> 00:19:24,680 Speaker 2: chronicled over and over again on this show. I want 368 00:19:24,680 --> 00:19:28,400 Speaker 2: you to just listen to the reports because when this 369 00:19:28,480 --> 00:19:31,600 Speaker 2: issue comes up of deportation, you're going to hear about 370 00:19:31,640 --> 00:19:38,360 Speaker 2: internment camps. You're going to hear about oh my gosh, racism, racism, racism, fascism, nazism. 371 00:19:38,440 --> 00:19:41,320 Speaker 2: It's but let me ask you a simple question before 372 00:19:41,320 --> 00:19:44,879 Speaker 2: we get to this point. If I were to go 373 00:19:45,000 --> 00:19:48,640 Speaker 2: down to the border and pick up an illegal immigrant 374 00:19:49,080 --> 00:19:50,840 Speaker 2: and ask them, well, what city or state would you 375 00:19:50,920 --> 00:19:54,239 Speaker 2: like to go to? Would I not be guilty of 376 00:19:54,320 --> 00:19:57,680 Speaker 2: human trafficking and aiding and a betting and law breaking. 377 00:19:58,640 --> 00:20:02,000 Speaker 2: Isn't that what they've institution the last four years? And 378 00:20:02,080 --> 00:20:04,800 Speaker 2: if you're not going to respect our laws, our borders, 379 00:20:04,800 --> 00:20:08,000 Speaker 2: and our sovereignty, why do you get rewarded with amnesty 380 00:20:08,040 --> 00:20:11,760 Speaker 2: and free sex change operations? And why wouldn't we give 381 00:20:11,760 --> 00:20:15,080 Speaker 2: those highly coveted positions to people that respect our laws 382 00:20:15,119 --> 00:20:18,480 Speaker 2: and go through the process legally. Just listen, for example, 383 00:20:18,480 --> 00:20:21,120 Speaker 2: about just child smuggling at the border. 384 00:20:21,359 --> 00:20:25,080 Speaker 9: Traffickers on the border often target uncompanied minors and votable 385 00:20:25,160 --> 00:20:28,440 Speaker 9: families knowing that the children have no way of protecting themselves. 386 00:20:28,440 --> 00:20:31,639 Speaker 9: In this tactic of sedating children on the border is 387 00:20:31,640 --> 00:20:34,359 Speaker 9: a way that traffickers make sure that children are seen 388 00:20:34,640 --> 00:20:37,040 Speaker 9: but are not heard by border authorities. 389 00:20:37,440 --> 00:20:40,840 Speaker 10: How many children have you attained at the Donna tenth 390 00:20:40,840 --> 00:20:43,920 Speaker 10: facility and the cages you built told kids? How many 391 00:20:44,000 --> 00:20:45,240 Speaker 10: children have been in those cages? 392 00:20:45,600 --> 00:20:49,719 Speaker 11: A senator, I can provide to you the following figure 393 00:20:49,760 --> 00:20:54,200 Speaker 11: that when and let me say that when a child. 394 00:20:54,560 --> 00:20:54,960 Speaker 8: I don't know. 395 00:20:55,560 --> 00:20:57,560 Speaker 10: It's a simple question. How many children have been in 396 00:20:57,560 --> 00:20:58,160 Speaker 10: those cages? 397 00:20:58,960 --> 00:21:02,600 Speaker 11: I respectfully not familiar with the term cages and to 398 00:21:02,680 --> 00:21:05,840 Speaker 11: what you are referring in late March, you are correct, 399 00:21:05,840 --> 00:21:09,040 Speaker 11: the numbers were extraordinarily high, and we had over five 400 00:21:09,560 --> 00:21:14,000 Speaker 11: seven hundred young children unaccompanied children in the custody of 401 00:21:14,040 --> 00:21:15,879 Speaker 11: the Board of Patrol. 402 00:21:15,720 --> 00:21:17,960 Speaker 12: Nearly one hundred thousand children of the you've read the 403 00:21:18,000 --> 00:21:20,440 Speaker 12: New York Times reports, I assume, mister Secretary. 404 00:21:20,600 --> 00:21:23,320 Speaker 11: I have read many reports Center Holly. 405 00:21:22,960 --> 00:21:24,840 Speaker 12: But do you know what I'm talking about with the 406 00:21:24,920 --> 00:21:28,240 Speaker 12: number of children who have been sent to do operate 407 00:21:28,359 --> 00:21:31,000 Speaker 12: heavy machinery, who are not being paid, who are not 408 00:21:31,080 --> 00:21:34,359 Speaker 12: going to school, who are being denied food, migrant children 409 00:21:34,440 --> 00:21:37,800 Speaker 12: unaccompanied who are now in the clutches of labor traffickers. 410 00:21:37,800 --> 00:21:38,879 Speaker 12: You're familiar with this. 411 00:21:39,040 --> 00:21:42,760 Speaker 11: Right, that is precisely why I revised on our work 412 00:21:42,800 --> 00:21:43,719 Speaker 11: site enforcement. 413 00:21:44,119 --> 00:21:44,399 Speaker 3: Good. 414 00:21:44,440 --> 00:21:46,440 Speaker 12: How many of the kids have you gotten back then? 415 00:21:46,520 --> 00:21:50,800 Speaker 12: Eighty five thousand or more now lost lost contact with 416 00:21:51,040 --> 00:21:53,240 Speaker 12: it's been months since you were last year. How many 417 00:21:53,240 --> 00:21:54,439 Speaker 12: of those children have you rescued? 418 00:21:55,560 --> 00:21:58,360 Speaker 11: Sending you are conflating issues. 419 00:21:58,680 --> 00:22:01,720 Speaker 5: A recent house community said that as many as three 420 00:22:01,800 --> 00:22:02,400 Speaker 5: and ten. 421 00:22:02,320 --> 00:22:06,800 Speaker 9: Children and no familiar releation whatsoever to the aduls that 422 00:22:07,000 --> 00:22:07,640 Speaker 9: claimed them. 423 00:22:08,160 --> 00:22:10,520 Speaker 2: And they do it to get into the country. And 424 00:22:10,600 --> 00:22:13,080 Speaker 2: what are these children supposed to do when they feel 425 00:22:13,119 --> 00:22:15,880 Speaker 2: that their life is in jeopardy? And then you have 426 00:22:16,080 --> 00:22:22,440 Speaker 2: the illegal immigrant crime problem. So predictably, when this moment comes, 427 00:22:23,440 --> 00:22:28,520 Speaker 2: the left is gonna they're going to claim racism, They're 428 00:22:28,560 --> 00:22:31,200 Speaker 2: going to scream bloody murder, and they're going to call 429 00:22:31,280 --> 00:22:34,639 Speaker 2: Donald Trump and Conservatives and Republicans every name in the book. 430 00:22:35,480 --> 00:22:39,800 Speaker 2: But just remember some of these reports. Listen to this 431 00:22:39,920 --> 00:22:41,000 Speaker 2: crime montage. 432 00:22:41,600 --> 00:22:44,040 Speaker 13: Students at the University of Georgia meeting for a vigil 433 00:22:44,080 --> 00:22:46,000 Speaker 13: tonight in honor of Lake and Riley. 434 00:22:46,400 --> 00:22:50,560 Speaker 7: Yeah, please say an undocumented migrant killed the Augusta Medical 435 00:22:50,600 --> 00:22:53,400 Speaker 7: College student on the campus of UGA last week. 436 00:22:53,520 --> 00:22:55,960 Speaker 13: Two men investigators say are in the country illegally from 437 00:22:56,040 --> 00:22:58,960 Speaker 13: Venezuela are charged with capital murder and the death of 438 00:22:59,040 --> 00:23:01,080 Speaker 13: Jocelyn Nongarall. 439 00:23:00,320 --> 00:23:03,840 Speaker 10: A twelve year old girl escaped being blindfolded and bound 440 00:23:03,880 --> 00:23:05,040 Speaker 10: by an adult male. 441 00:23:05,560 --> 00:23:07,920 Speaker 6: The suspect is described as a thirty or thirty one 442 00:23:07,960 --> 00:23:10,919 Speaker 6: year old Nicaraguan man whose legal identity is yet to 443 00:23:10,920 --> 00:23:11,480 Speaker 6: be determined. 444 00:23:11,520 --> 00:23:13,600 Speaker 5: Based on multiple aliases. 445 00:23:13,280 --> 00:23:16,240 Speaker 6: Detective detectives determined he illegally entered the US. 446 00:23:16,560 --> 00:23:19,159 Speaker 13: Unarrest has finally been made in the tragic murder of 447 00:23:19,200 --> 00:23:22,120 Speaker 13: Maryland mom of five Rachel Moore in ten months after 448 00:23:22,160 --> 00:23:25,520 Speaker 13: her body was found naked and beaten on a remote 449 00:23:25,600 --> 00:23:30,000 Speaker 13: hiking trail. Police arrested Victor Martinez Hernandez, a migrant who 450 00:23:30,119 --> 00:23:33,920 Speaker 13: entered the country illegally in February twenty twenty three after 451 00:23:33,960 --> 00:23:36,800 Speaker 13: reportedly murdering a young woman in El Salvador. 452 00:23:36,960 --> 00:23:42,399 Speaker 14: An illegal immigrant from Ecuador arrested apprehended under arrest suspected 453 00:23:42,440 --> 00:23:45,560 Speaker 14: of sexually assaulting as you said, a teenage girl in 454 00:23:45,680 --> 00:23:48,919 Speaker 14: a New York City park last week. He used as 455 00:23:48,960 --> 00:23:54,320 Speaker 14: shoelace to bound their hands together before Landy allegedly sexually 456 00:23:54,400 --> 00:23:55,720 Speaker 14: assaulted the young girl. 457 00:23:55,880 --> 00:23:59,639 Speaker 15: All three are undocumented immigrants from Guatemala. 458 00:23:59,359 --> 00:24:01,160 Speaker 3: The various charges, but. 459 00:24:01,160 --> 00:24:03,639 Speaker 15: The sheriff's office says they forced a woman into a 460 00:24:03,720 --> 00:24:08,480 Speaker 15: car then committed sexual battery on her at two different locations. 461 00:24:08,680 --> 00:24:11,679 Speaker 2: Unbelievable. Let's get to our busy phones. I hope you 462 00:24:11,800 --> 00:24:14,080 Speaker 2: remember a lot of this. If not, I will be 463 00:24:14,240 --> 00:24:18,080 Speaker 2: reminding you when this time comes. But prepare for this. 464 00:24:19,320 --> 00:24:22,120 Speaker 2: Barbara Maryland, our good friend, Barbara, Barbara, how are you 465 00:24:22,200 --> 00:24:22,960 Speaker 2: glad you called? 466 00:24:23,640 --> 00:24:26,720 Speaker 8: Hey, Sean, thanks so much for taking my call. I'm 467 00:24:26,720 --> 00:24:30,919 Speaker 8: a static about the election. I was an election judge. 468 00:24:30,960 --> 00:24:35,439 Speaker 8: It was the unbelievable the crowds that were there. And 469 00:24:35,520 --> 00:24:39,840 Speaker 8: I just even though Maryland did not go all for Trump, 470 00:24:40,560 --> 00:24:45,000 Speaker 8: I do believe we don't have Larry Hogan to worry 471 00:24:45,040 --> 00:24:49,280 Speaker 8: about either. And that's marilynd who lost, and I'm so 472 00:24:49,400 --> 00:24:50,120 Speaker 8: glad that he did. 473 00:24:50,200 --> 00:24:50,280 Speaker 7: So. 474 00:24:50,359 --> 00:24:54,520 Speaker 8: President Trump does indeed snakes in his administration on in 475 00:24:54,760 --> 00:24:58,200 Speaker 8: DC at all. So I'm astatic. I'm happy about everything. 476 00:24:58,720 --> 00:25:01,040 Speaker 8: I don't care about the media. To me, if I 477 00:25:01,200 --> 00:25:04,960 Speaker 8: never hear Jessica tar Off again, Carl rob and Juan 478 00:25:05,040 --> 00:25:07,240 Speaker 8: Williams if I'd never hear anything out of their. 479 00:25:07,200 --> 00:25:08,560 Speaker 3: Mouth, be nice. 480 00:25:08,560 --> 00:25:12,240 Speaker 2: Of there were colleagues, but remember Fox has a Fox 481 00:25:12,280 --> 00:25:15,760 Speaker 2: from its original mission was to offer both sides fair 482 00:25:15,800 --> 00:25:18,840 Speaker 2: and balanced. Right, So, I mean, my original show was 483 00:25:18,880 --> 00:25:23,320 Speaker 2: Hannity and Combs and it was a debate show. So 484 00:25:23,520 --> 00:25:27,920 Speaker 2: the idea that you have people with different views. You know, Jessica, 485 00:25:28,119 --> 00:25:30,640 Speaker 2: you know you're mentioning people that are nice people. She's 486 00:25:30,680 --> 00:25:33,040 Speaker 2: a great person, great mom. I don't want to get 487 00:25:33,080 --> 00:25:36,280 Speaker 2: into personalities. I'll be honest. I'm sure that a lot 488 00:25:36,320 --> 00:25:39,439 Speaker 2: of Democrats are pretty upset today. That's one of the 489 00:25:39,440 --> 00:25:43,320 Speaker 2: reasons I didn't spike the football, And because I feel 490 00:25:43,320 --> 00:25:46,840 Speaker 2: a sense of gratitude and relief that America made the 491 00:25:46,920 --> 00:25:49,320 Speaker 2: right choice, because I think this was an inflection point 492 00:25:49,359 --> 00:25:49,960 Speaker 2: for the country. 493 00:25:50,080 --> 00:25:52,800 Speaker 8: Both of us out here, we will spike that football 494 00:25:52,840 --> 00:25:54,400 Speaker 8: because you know, I'm the local race. 495 00:25:55,480 --> 00:25:57,160 Speaker 3: You and Linda a spike in the football. 496 00:25:57,200 --> 00:25:59,840 Speaker 8: I got it, just like the football. That's right. President 497 00:26:00,280 --> 00:26:03,199 Speaker 8: won this thing, and you don't see any you know, 498 00:26:03,320 --> 00:26:05,800 Speaker 8: the streets took calm. You know they were predicting all 499 00:26:05,880 --> 00:26:09,880 Speaker 8: this stuff. Nothing's happened. People are happy. People are happy 500 00:26:10,160 --> 00:26:12,800 Speaker 8: that he won. Even the Democrats who might not have 501 00:26:12,920 --> 00:26:15,600 Speaker 8: voted for They're still going to be happy with what's 502 00:26:15,600 --> 00:26:18,240 Speaker 8: going to happen to this he comedy. I'm so looking 503 00:26:18,280 --> 00:26:20,960 Speaker 8: forward to the greatness that he's going to come with 504 00:26:21,080 --> 00:26:23,639 Speaker 8: all of his his staff. I know he's got his 505 00:26:23,760 --> 00:26:26,560 Speaker 8: cabinets picked out, the people that he I knew Tom 506 00:26:26,560 --> 00:26:29,679 Speaker 8: Holman was going to be a part of things immigration. 507 00:26:30,119 --> 00:26:32,639 Speaker 8: I just love that. I think it's going to be wonderful. 508 00:26:33,040 --> 00:26:34,760 Speaker 8: We're going to be very very happy. 509 00:26:35,320 --> 00:26:38,280 Speaker 2: I think the President is going to act very quickly, 510 00:26:38,480 --> 00:26:40,239 Speaker 2: and the things that he said he's going to do 511 00:26:40,400 --> 00:26:42,320 Speaker 2: is going to get done. And I think, you know, 512 00:26:42,440 --> 00:26:45,639 Speaker 2: all this talk about the president retribution is not going 513 00:26:45,720 --> 00:26:48,520 Speaker 2: to happen. I told everybody it's not gonna nobody's going 514 00:26:48,560 --> 00:26:51,880 Speaker 2: to be taking off the air. They'll they'll be able 515 00:26:51,920 --> 00:26:56,000 Speaker 2: to peddle their lives, conspiracy theories and outright vitre all 516 00:26:56,040 --> 00:26:58,960 Speaker 2: as much as they want. Barbara, we love you, appreciate 517 00:26:59,000 --> 00:27:03,240 Speaker 2: the time. John and Arizona. Next Sean Hannity Show, Hey, John, 518 00:27:03,240 --> 00:27:04,399 Speaker 2: how are you glad you called? 519 00:27:05,400 --> 00:27:05,640 Speaker 7: Hey? 520 00:27:05,680 --> 00:27:08,440 Speaker 1: I'm doing good. Sean, how are you hey? 521 00:27:08,480 --> 00:27:10,600 Speaker 2: Can you talk to like the officials in your state 522 00:27:10,640 --> 00:27:12,920 Speaker 2: and tell them to get their act together. Why is 523 00:27:13,000 --> 00:27:15,719 Speaker 2: it that takes them four thousand years to count ballots 524 00:27:15,760 --> 00:27:18,600 Speaker 2: in your state when my state of Florida, you know 525 00:27:18,680 --> 00:27:21,560 Speaker 2: the stuff, the polls closed, we have the final result 526 00:27:21,680 --> 00:27:22,880 Speaker 2: in less than an hour. 527 00:27:23,359 --> 00:27:27,280 Speaker 1: Yeah, they need a little reform here, hey, a little. 528 00:27:27,480 --> 00:27:30,800 Speaker 2: A little. They need maximum reform. It's not fair to 529 00:27:30,880 --> 00:27:32,560 Speaker 2: the rest of the country, and it's not fair to 530 00:27:32,600 --> 00:27:33,520 Speaker 2: the people Arizona. 531 00:27:33,840 --> 00:27:36,200 Speaker 1: I agree, I agree, But I just want to make 532 00:27:36,280 --> 00:27:41,119 Speaker 1: two comments and concerns here. So my first concern is 533 00:27:41,200 --> 00:27:45,560 Speaker 1: with our friend Jimmy Kimmela. I'm very, very concerned for him. 534 00:27:46,280 --> 00:27:50,480 Speaker 1: I feel like tonight we might see his monologue with 535 00:27:50,520 --> 00:27:51,359 Speaker 1: a bald head. 536 00:27:52,640 --> 00:27:56,920 Speaker 2: So you got to admit that stuff's pretty funny. The 537 00:27:57,400 --> 00:28:01,440 Speaker 2: women shaving their heads. They're even talking about getting a divorce, 538 00:28:02,080 --> 00:28:06,160 Speaker 2: divorcing their husbands over the results of the election, or 539 00:28:06,359 --> 00:28:10,119 Speaker 2: or pledging not to have sex with their husbands. I'm like, oh, okay, okay, 540 00:28:10,200 --> 00:28:12,160 Speaker 2: it sounds like a great marriage to me. Or Julia 541 00:28:12,280 --> 00:28:15,199 Speaker 2: Roberts telling women you can vote and you don't have 542 00:28:15,240 --> 00:28:16,760 Speaker 2: to tell your husband how you really vote. You can 543 00:28:16,840 --> 00:28:19,760 Speaker 2: keep it secret, you can lie to your husband. I'm like, okay, 544 00:28:19,840 --> 00:28:22,639 Speaker 2: that's a great closing argument. Or George Clooney, Yeah, you 545 00:28:22,680 --> 00:28:24,320 Speaker 2: can actly, you're one of the you're one of the 546 00:28:24,480 --> 00:28:26,679 Speaker 2: you're one of the guys and say, yeah, yeah, of 547 00:28:26,680 --> 00:28:27,720 Speaker 2: course I voted Trump. 548 00:28:27,920 --> 00:28:30,520 Speaker 3: You can secretly vote for a Kamala if you have. 549 00:28:30,680 --> 00:28:33,360 Speaker 2: If you're that embarrassed to vote for your candidate, you've 550 00:28:33,359 --> 00:28:34,040 Speaker 2: got a problem. 551 00:28:34,200 --> 00:28:37,440 Speaker 1: Yeah, and you know what next is the eyebrows. It's coming. 552 00:28:37,480 --> 00:28:40,880 Speaker 1: They're going to shave their eyebrows. But hey, uh, bigger concern. 553 00:28:41,080 --> 00:28:42,640 Speaker 3: By the way, I believe in freedom. 554 00:28:42,840 --> 00:28:46,440 Speaker 2: Any liberal woman that that that had not have sex 555 00:28:46,480 --> 00:28:49,560 Speaker 2: with their husbands, if if, if they choose to get 556 00:28:49,600 --> 00:28:52,240 Speaker 2: a divorce, that's up to them. I hope they don't. 557 00:28:52,720 --> 00:28:55,360 Speaker 2: But you know what, we live in a free country. 558 00:28:55,520 --> 00:28:58,560 Speaker 2: In spite of all their hyperbole and lying, we still 559 00:28:58,600 --> 00:28:59,520 Speaker 2: live in a free country. 560 00:28:59,560 --> 00:29:03,680 Speaker 1: Go shave away absolutely, now, Sean. My question to you is, 561 00:29:04,600 --> 00:29:07,720 Speaker 1: with this election, I worry, and this is the main 562 00:29:07,800 --> 00:29:11,440 Speaker 1: concern I have. I worry about Trump's safety. How do 563 00:29:11,480 --> 00:29:14,800 Speaker 1: you feel about the Secret Service from now until when 564 00:29:14,840 --> 00:29:18,640 Speaker 1: he steps into that Oval office. I just want the 565 00:29:18,680 --> 00:29:19,560 Speaker 1: man protected. 566 00:29:20,040 --> 00:29:21,600 Speaker 3: I want the man protected too. 567 00:29:22,040 --> 00:29:26,000 Speaker 2: I've had conversations that I'm not going to discuss with 568 00:29:26,560 --> 00:29:30,880 Speaker 2: sources of mind, and it is. It is very top 569 00:29:30,920 --> 00:29:33,360 Speaker 2: of mind for me. There's a lot of things that 570 00:29:33,400 --> 00:29:35,640 Speaker 2: I don't talk about on the radio because I just 571 00:29:35,640 --> 00:29:41,560 Speaker 2: don't think it's appropriate. And your concerns are justified. Your 572 00:29:41,600 --> 00:29:44,440 Speaker 2: concerns are real. That's all I'm going to tell you. 573 00:29:44,880 --> 00:29:48,120 Speaker 2: And we must protect all of our elected officials. I 574 00:29:48,160 --> 00:29:51,240 Speaker 2: said it when Obama was president. I said it about 575 00:29:51,320 --> 00:29:54,200 Speaker 2: Joe Biden. I meant it about Kamala Harris. The fact 576 00:29:54,200 --> 00:29:57,920 Speaker 2: that that the Biden administration never stood up to Iran 577 00:29:58,080 --> 00:30:01,040 Speaker 2: until told and took a tough st and said, if 578 00:30:01,080 --> 00:30:04,960 Speaker 2: you go don't pull your assassination squads back, there's going 579 00:30:05,000 --> 00:30:09,080 Speaker 2: to be dire consequences is unforgivable to me. But I 580 00:30:09,320 --> 00:30:11,160 Speaker 2: you know, this is where we are as a country, 581 00:30:11,360 --> 00:30:16,640 Speaker 2: and we need massive reform at the Secret Service. He's, 582 00:30:16,840 --> 00:30:19,440 Speaker 2: you know what, he needs to be able to play golf, 583 00:30:19,640 --> 00:30:22,560 Speaker 2: and my understanding is right now, Donald Trump, they don't. 584 00:30:22,560 --> 00:30:24,360 Speaker 2: They're not going to let him play golf. I'm like, 585 00:30:24,520 --> 00:30:27,520 Speaker 2: that's ridiculous. Every president you know in the modern error 586 00:30:27,600 --> 00:30:30,560 Speaker 2: has played golf that plays golf, not all of them play. 587 00:30:30,920 --> 00:30:35,240 Speaker 2: Obama played, Clinton played, George W. Bush played Why can't 588 00:30:35,240 --> 00:30:38,400 Speaker 2: Donald Trump play golf? It's ridiculous, all right. That's going 589 00:30:38,440 --> 00:30:41,760 Speaker 2: to wrap things up for today. Tonight an exclusive interview. 590 00:30:41,840 --> 00:30:44,239 Speaker 2: Tom Homan is going to be put in charge of 591 00:30:44,320 --> 00:30:48,160 Speaker 2: finding people in this country illegally and asking them and 592 00:30:48,360 --> 00:30:51,400 Speaker 2: escorting them back to their home country, Eric Trump Tonight, 593 00:30:51,520 --> 00:30:54,360 Speaker 2: Senator Rick Scott, who is running for Senate Majority Leader 594 00:30:54,640 --> 00:30:58,680 Speaker 2: Byron Donald's Mike Huckabee, please say you DVR tonight Hannity 595 00:30:58,800 --> 00:31:02,520 Speaker 2: nine Eastern on five News. Information you will never get 596 00:31:02,600 --> 00:31:06,360 Speaker 2: from the state run legacy media mob that nobody cares 597 00:31:06,400 --> 00:31:09,280 Speaker 2: about anymore. We'll see you tonight back here tomorrow. Thank 598 00:31:09,320 --> 00:31:10,800 Speaker 2: you for making this show possible.