1 00:00:00,080 --> 00:00:03,960 Speaker 1: Ah, you know, hey, it's Mark Simone here for Sean Hannity. 2 00:00:04,040 --> 00:00:07,280 Speaker 1: I'm usually on our big flagship station w o R 3 00:00:07,320 --> 00:00:10,879 Speaker 1: in New York. I'm not a little disoriented because I'm 4 00:00:10,920 --> 00:00:13,200 Speaker 1: on vacation for two weeks. You know, I'm taking two 5 00:00:13,240 --> 00:00:16,959 Speaker 1: weeks off end of the year Christmas break. But I 6 00:00:16,960 --> 00:00:20,480 Speaker 1: didn't think I could take two full weeks off. I mean, Linda, 7 00:00:20,520 --> 00:00:22,160 Speaker 1: could you go without working for two weeks. 8 00:00:22,280 --> 00:00:24,440 Speaker 2: I'd missed it too much. Mark, you can't go that long. 9 00:00:24,520 --> 00:00:26,920 Speaker 1: No, you can't not work for two weeks. So I 10 00:00:26,920 --> 00:00:29,840 Speaker 1: figured I did a you know, I did Cudlow yesterday, 11 00:00:29,880 --> 00:00:34,480 Speaker 1: not liberals. Yeah, so yeah, I'm not that left wing. 12 00:00:34,520 --> 00:00:36,959 Speaker 1: So I can't just sit around and do nothing. So 13 00:00:37,280 --> 00:00:40,040 Speaker 1: and this is the most listened to radio show in 14 00:00:40,080 --> 00:00:42,560 Speaker 1: the world, So who's going to say, no, you come 15 00:00:42,640 --> 00:00:46,559 Speaker 1: fill in for Sean Hannity. And we got you know, 16 00:00:46,680 --> 00:00:48,680 Speaker 1: I came. You don't just walk in and go on 17 00:00:48,680 --> 00:00:50,760 Speaker 1: the air. You got to do a preparation. We had 18 00:00:50,760 --> 00:00:52,919 Speaker 1: to go over the Linda had the menu for what 19 00:00:52,920 --> 00:00:55,200 Speaker 1: they were ordering lunch. I had to pick something. 20 00:00:55,240 --> 00:00:57,640 Speaker 2: The most important part of the day was you getting 21 00:00:57,640 --> 00:00:59,400 Speaker 2: your lunch order in. I said, oh my god, Mark, 22 00:00:59,400 --> 00:01:01,080 Speaker 2: do you want to be a to the launch or yes? 23 00:01:01,320 --> 00:01:03,880 Speaker 1: Well, but she never has a simple thing like it's pizza, 24 00:01:03,920 --> 00:01:06,479 Speaker 1: you want cheese or pepperoni. It's always someplace with four 25 00:01:06,560 --> 00:01:07,479 Speaker 1: thousand items on. 26 00:01:07,400 --> 00:01:08,959 Speaker 2: This doesn't want to eat healthy. 27 00:01:08,800 --> 00:01:11,280 Speaker 1: I know, but you got to scroll through. How about salads? 28 00:01:11,280 --> 00:01:13,240 Speaker 1: There's four hundred salads and you got to look through. 29 00:01:15,080 --> 00:01:17,080 Speaker 1: Oh actually I forgot the chicken case of deea but 30 00:01:17,080 --> 00:01:21,520 Speaker 1: that's okay, that's okoy. See I told you I wasn't 31 00:01:21,560 --> 00:01:24,160 Speaker 1: ready to come back. I've been actually I've been on 32 00:01:24,280 --> 00:01:27,000 Speaker 1: vacation for like five six days already. Really yeah, so 33 00:01:27,040 --> 00:01:29,440 Speaker 1: I'm not used to working. You always wear those glasses. 34 00:01:29,440 --> 00:01:33,919 Speaker 1: I never say with glasses before? Oh yeah, oh really 35 00:01:34,000 --> 00:01:35,960 Speaker 1: I am. I never saw your words. She looks like 36 00:01:36,240 --> 00:01:38,000 Speaker 1: it's like Chuck Schumer. Now with the glasses. 37 00:01:38,640 --> 00:01:41,880 Speaker 2: I'm sorry. I think I'll be leaving. You can do 38 00:01:41,920 --> 00:01:44,760 Speaker 2: this on your own. She'll be fine, very nice, class fine, Yeah, 39 00:01:44,800 --> 00:01:48,880 Speaker 2: all right, Uh get easy, Romeo. It's only three oh eight. 40 00:01:49,240 --> 00:01:52,160 Speaker 1: Oh my, you mean I got two hours in like 41 00:01:52,200 --> 00:01:52,720 Speaker 1: fifty two. 42 00:01:52,640 --> 00:01:54,160 Speaker 2: Minutes more hours of my stink? 43 00:01:54,240 --> 00:01:56,320 Speaker 1: I know, no, no, no, we'll be fine. We got 44 00:01:56,360 --> 00:01:58,240 Speaker 1: lots of great guests. We got Hey, there's actually a 45 00:01:58,240 --> 00:02:01,440 Speaker 1: lot to talk about. You would think Chris's week, nothing's happening, 46 00:02:01,800 --> 00:02:05,760 Speaker 1: but plenty is happening. And Christmas Eve is tomorrow night. 47 00:02:05,840 --> 00:02:09,919 Speaker 2: Right, Wow, did you go to confession before our Lord? 48 00:02:09,960 --> 00:02:11,920 Speaker 1: And yeah, I actually went to the confession and I 49 00:02:11,919 --> 00:02:13,559 Speaker 1: said to the priest you first. 50 00:02:14,600 --> 00:02:19,520 Speaker 2: You're a mess. Better, you're gonna get cold. Brother. 51 00:02:19,680 --> 00:02:24,600 Speaker 1: It's a joke. It's a joke. So, uh, everybody will 52 00:02:24,600 --> 00:02:27,440 Speaker 1: tell you New York is dying. Everybody's leaving, you know, 53 00:02:27,440 --> 00:02:30,720 Speaker 1: with Mom Johnny getting elected, Socialism New York has finished. 54 00:02:30,760 --> 00:02:33,919 Speaker 1: It's over. Go outside where we are right now, Try 55 00:02:33,960 --> 00:02:36,520 Speaker 1: to walk down the sidewalk. It is so crowded in 56 00:02:36,600 --> 00:02:36,959 Speaker 1: New York. 57 00:02:37,080 --> 00:02:38,640 Speaker 2: Yeah, they're all from Europe, they're used to it. 58 00:02:38,880 --> 00:02:40,720 Speaker 1: No, there's plenty of Americans. So you know, this is 59 00:02:40,720 --> 00:02:44,440 Speaker 1: the busiest Christmas tourist season ever. You right now cannot 60 00:02:44,480 --> 00:02:47,519 Speaker 1: get a hotel room in New York. It's absolutely impossible. 61 00:02:47,960 --> 00:02:50,200 Speaker 1: It is packed. And you're saying, well that's tourists. Well, 62 00:02:50,240 --> 00:02:52,600 Speaker 1: now go try to rent an apartment in New York 63 00:02:52,680 --> 00:02:55,880 Speaker 1: right now. Apartment rentals are through the roof. There's no 64 00:02:56,080 --> 00:02:59,280 Speaker 1: apartments left to rent. People coming rental means people just 65 00:02:59,400 --> 00:03:03,720 Speaker 1: moving here. And as far as apartment sales, a record 66 00:03:03,720 --> 00:03:07,200 Speaker 1: amount of closing last month. So people are not running away. 67 00:03:07,440 --> 00:03:09,519 Speaker 2: Are you sure they're not just making their last run 68 00:03:09,560 --> 00:03:11,000 Speaker 2: in before Mom Donnie takes over. 69 00:03:11,400 --> 00:03:11,640 Speaker 3: Ah. 70 00:03:11,720 --> 00:03:14,120 Speaker 1: I don't think it'll be that bad. And there's a 71 00:03:14,160 --> 00:03:16,880 Speaker 1: lot of things. You know. He is a crazy socialist, 72 00:03:16,960 --> 00:03:19,840 Speaker 1: but we had one before. His name was Bill de Blasio. 73 00:03:20,080 --> 00:03:22,600 Speaker 2: Oh my god, he's way worse than Bill de Blasio. 74 00:03:23,160 --> 00:03:26,560 Speaker 1: Come don't count on. Deblasio is pretty bad. And everybody 75 00:03:26,560 --> 00:03:30,120 Speaker 1: in this new Mom Donnie administration are former Deblasio. The 76 00:03:30,160 --> 00:03:33,680 Speaker 1: same people, same deputy mayors, same everything. It'll be very similar, 77 00:03:33,840 --> 00:03:36,280 Speaker 1: although it'll be different this time because Trump is president 78 00:03:36,680 --> 00:03:39,560 Speaker 1: and there's things he can do to counter everything Mam 79 00:03:39,600 --> 00:03:42,000 Speaker 1: Donnie does, even if Mom Donnie plays around with the 80 00:03:42,040 --> 00:03:46,320 Speaker 1: police force or crime. We have a great US attorney 81 00:03:46,520 --> 00:03:49,520 Speaker 1: Southern District that's New York. His name is Jay Clayton. 82 00:03:49,560 --> 00:03:52,400 Speaker 1: This guy has said he will step in and go 83 00:03:52,440 --> 00:03:54,280 Speaker 1: after the criminals on He can do that too. The 84 00:03:54,320 --> 00:03:57,360 Speaker 1: Feds can actually go on the streets arrest criminals left 85 00:03:57,360 --> 00:04:01,240 Speaker 1: and right, shoplifters, muggers, robbers, drug dealers. They have the 86 00:04:01,280 --> 00:04:04,440 Speaker 1: power to do that, and people forget when Rudy Giuliani 87 00:04:04,520 --> 00:04:07,080 Speaker 1: was the mayor, he would one day week I think 88 00:04:07,080 --> 00:04:08,880 Speaker 1: it was Wednesday. He called it Federal Day. You'd have 89 00:04:08,920 --> 00:04:11,720 Speaker 1: the Feds come in and arrest everybody. And there's a 90 00:04:11,760 --> 00:04:13,600 Speaker 1: reason for that. You know, if you arrest somebody here 91 00:04:13,600 --> 00:04:16,080 Speaker 1: in New York, they'll go before one of these lunatic 92 00:04:16,160 --> 00:04:19,440 Speaker 1: liberal judges or our lunatic district attorney. He'll just let 93 00:04:19,480 --> 00:04:21,839 Speaker 1: him out. But when the Feds arrest him, goes to 94 00:04:21,880 --> 00:04:25,400 Speaker 1: a federal court where they are sent away. So it's 95 00:04:25,440 --> 00:04:28,000 Speaker 1: not as bad as and count on Donald Trump to 96 00:04:28,040 --> 00:04:31,440 Speaker 1: keep an eye on mom Donnie. And apparently they've kept 97 00:04:31,440 --> 00:04:34,040 Speaker 1: the relationship up. They talk on the phone once every 98 00:04:34,400 --> 00:04:37,640 Speaker 1: couple of weeks. They've kept in touch and uh, what 99 00:04:37,839 --> 00:04:39,560 Speaker 1: you look at me like that for he'll keep an 100 00:04:39,600 --> 00:04:39,960 Speaker 1: eye on this. 101 00:04:40,160 --> 00:04:42,360 Speaker 2: Well, first of all, I have to say, I did 102 00:04:42,360 --> 00:04:44,839 Speaker 2: not know that Rudy Giuliani did that. So that was 103 00:04:44,839 --> 00:04:46,400 Speaker 2: actually very Was it every week? 104 00:04:46,560 --> 00:04:49,560 Speaker 1: Yeah? I think every Wednesday was fed Day and so. 105 00:04:49,480 --> 00:04:51,120 Speaker 2: That was the day that all the criminals stayed home. 106 00:04:51,360 --> 00:04:52,800 Speaker 2: If you watch that's why they made it the day 107 00:04:52,839 --> 00:04:53,239 Speaker 2: for theater. 108 00:04:54,200 --> 00:04:57,240 Speaker 1: Yeah, if you watch Blue Bloods it's in one episode 109 00:04:57,240 --> 00:04:59,640 Speaker 1: where this is really there's a criminal who he got 110 00:04:59,640 --> 00:05:02,520 Speaker 1: a mut unity and a plea deal, he got witness 111 00:05:02,720 --> 00:05:04,719 Speaker 1: whatever he got. There was no way to arrest this guy. 112 00:05:04,720 --> 00:05:08,440 Speaker 1: The NYPD could not touch this guy. So they come 113 00:05:08,480 --> 00:05:10,200 Speaker 1: back and they arrest him with a couple of the detectives. 114 00:05:10,200 --> 00:05:11,760 Speaker 1: He says, you can't don't don't you know, you can't 115 00:05:11,760 --> 00:05:14,000 Speaker 1: think this. These are federal guys. They're not part of 116 00:05:14,000 --> 00:05:15,880 Speaker 1: the deal, and the Feds took them away. 117 00:05:15,920 --> 00:05:17,280 Speaker 2: So well, man, I hope they start that up. 118 00:05:17,400 --> 00:05:20,159 Speaker 1: Yeah, we can do that, but a lot of stuff 119 00:05:20,200 --> 00:05:22,479 Speaker 1: is going on. Hey, the Epstein Files, this is the 120 00:05:22,520 --> 00:05:25,920 Speaker 1: greatest thing in the world because every time they release 121 00:05:26,000 --> 00:05:30,120 Speaker 1: another thirty thousand things, there's one picture at Trump and 122 00:05:30,200 --> 00:05:33,880 Speaker 1: all the left wing on television go, aha, we got him. 123 00:05:34,320 --> 00:05:36,800 Speaker 1: It's always the same though. With Donald Trump's picture, he's 124 00:05:36,800 --> 00:05:38,680 Speaker 1: in a suit and tie. He's in a ballroom with 125 00:05:38,720 --> 00:05:41,400 Speaker 1: three hundred people. It's usually it's a ballroom he owns. 126 00:05:41,400 --> 00:05:43,400 Speaker 1: It's either the plaza he owned at the time or 127 00:05:43,480 --> 00:05:45,920 Speaker 1: mar A Lago. It's in a ballroom at a party 128 00:05:45,920 --> 00:05:48,719 Speaker 1: that he happened to be at. Whenever it's Bill Clinton, 129 00:05:48,760 --> 00:05:51,480 Speaker 1: there's four thousand pictures. He's in a bathing suit, he's naked, 130 00:05:51,480 --> 00:05:54,080 Speaker 1: he's in a hot dub, he's in a massage room, 131 00:05:54,600 --> 00:05:57,960 Speaker 1: he's in a swimming pool, eight girls. And I heard 132 00:05:58,160 --> 00:06:00,960 Speaker 1: one of these CNN idiots tried to well, you know, 133 00:06:01,240 --> 00:06:04,040 Speaker 1: many people have taken pictures of Bill Clinton. Yeah, at 134 00:06:04,080 --> 00:06:07,600 Speaker 1: an event with clothes on, not naked and hot up 135 00:06:07,600 --> 00:06:11,359 Speaker 1: with him. So you're not going to get Trump on this. 136 00:06:11,480 --> 00:06:14,480 Speaker 1: He has nothing to do with Epstein. It's fair. I 137 00:06:14,480 --> 00:06:16,200 Speaker 1: can explain the whole thing. I was there for a 138 00:06:16,240 --> 00:06:20,000 Speaker 1: lot of this late nineties. Epstein was a very wealthy guy. 139 00:06:20,480 --> 00:06:23,039 Speaker 1: He went down to Florida, bought a house in Palm Beach. 140 00:06:23,360 --> 00:06:25,839 Speaker 1: When you're a very wealthy guy in Palm Beach, one 141 00:06:25,880 --> 00:06:27,720 Speaker 1: of the first things you do is join mar A Lago. 142 00:06:28,080 --> 00:06:30,680 Speaker 1: And when you own the hotel, the club, whatever it is, 143 00:06:30,920 --> 00:06:32,960 Speaker 1: and you find out there's a new zillionaire in town 144 00:06:33,520 --> 00:06:36,160 Speaker 1: just joined. He's at a party. You say hello, You're 145 00:06:36,240 --> 00:06:38,599 Speaker 1: nice to him, you you knowvite him to some other events. 146 00:06:38,839 --> 00:06:43,200 Speaker 1: That's what it was. And then very shortly into this 147 00:06:43,279 --> 00:06:45,920 Speaker 1: relationship he found out some terrible things about Epstein. He 148 00:06:45,960 --> 00:06:48,880 Speaker 1: went after a young girl in the clubhouse, who turns 149 00:06:48,920 --> 00:06:50,800 Speaker 1: out was the daughter of a member. So he banned him. 150 00:06:50,839 --> 00:06:53,400 Speaker 1: That was it. Fought with him, never talked to him again. 151 00:06:53,560 --> 00:06:56,200 Speaker 1: This is a million years ago. Meantime. Look at the 152 00:06:56,200 --> 00:06:58,240 Speaker 1: pictures of Bill Clinton. He's got dark hairr he's got 153 00:06:58,279 --> 00:07:00,800 Speaker 1: light hair, he's got white hairs. Are going on for 154 00:07:00,839 --> 00:07:04,920 Speaker 1: like thirty years with Bill Clinton, and they keep catching people. 155 00:07:06,080 --> 00:07:07,720 Speaker 1: First of all, I have a lot of photos on 156 00:07:07,720 --> 00:07:10,440 Speaker 1: my phone, at my computer, I'm like twenty thousand. I 157 00:07:10,520 --> 00:07:13,120 Speaker 1: look at this Epstein stuff. He had like four hundred 158 00:07:13,120 --> 00:07:16,720 Speaker 1: thousand pictures on his computer. Do you know anybody with 159 00:07:16,720 --> 00:07:19,880 Speaker 1: four hundred thousand pictures? You know that first patchy released 160 00:07:19,960 --> 00:07:21,880 Speaker 1: was ninety thousand, and that was just a tip of 161 00:07:21,880 --> 00:07:25,440 Speaker 1: the iceberg. But you're seeing all these liberal icons. There's 162 00:07:25,520 --> 00:07:28,080 Speaker 1: Larry Summers and a thousand pictures. And then we see 163 00:07:28,160 --> 00:07:32,360 Speaker 1: Noam Chomsky, you know, the great beloved Harvard left wing kook. 164 00:07:33,160 --> 00:07:37,160 Speaker 1: There he is all over Epstein. So one left wing 165 00:07:37,160 --> 00:07:40,360 Speaker 1: guy after another's being destroyed. They just released another thirty 166 00:07:40,400 --> 00:07:42,920 Speaker 1: thousand of today there's a picture of Trump in a 167 00:07:42,920 --> 00:07:46,000 Speaker 1: suit and tie in a ballroom at a party. And again, ah, 168 00:07:46,120 --> 00:07:49,080 Speaker 1: he got him this time, Never gonna get him. On 169 00:07:49,280 --> 00:07:55,400 Speaker 1: anything forget about it. And I love when he you know, 170 00:07:55,440 --> 00:07:57,600 Speaker 1: he's doing a great job running things, but also when 171 00:07:57,640 --> 00:07:59,800 Speaker 1: he really puts his mind to it. What did I 172 00:07:59,840 --> 00:08:03,640 Speaker 1: do to make them really insane? What can I do? 173 00:08:04,040 --> 00:08:06,640 Speaker 1: I know he watched his MSNBC and CNN, and as 174 00:08:06,800 --> 00:08:08,800 Speaker 1: mad as they are, you this, what can I do 175 00:08:08,880 --> 00:08:10,480 Speaker 1: to even get him matter? You know, when you're in 176 00:08:10,480 --> 00:08:12,840 Speaker 1: the zoo and you want to hit the bars of 177 00:08:12,920 --> 00:08:14,040 Speaker 1: the cage and get the tigers. 178 00:08:14,600 --> 00:08:18,560 Speaker 2: I don't actually know anything about that. What is what's 179 00:08:18,640 --> 00:08:20,480 Speaker 2: happening when you go to the zoo? 180 00:08:20,760 --> 00:08:22,400 Speaker 1: People do that? You see kids do that? All they 181 00:08:22,440 --> 00:08:24,080 Speaker 1: look at that, look at anything. He does that. He's 182 00:08:24,480 --> 00:08:26,880 Speaker 1: grown up, bro, No, I don't do I'm just in people. 183 00:08:27,920 --> 00:08:31,000 Speaker 1: But he comes up with things like renaming the Kennedy Center, 184 00:08:31,040 --> 00:08:34,120 Speaker 1: calling it the Donald Trump and John F. Kennedycy. They 185 00:08:34,200 --> 00:08:37,560 Speaker 1: went berserk. Now these are the same Democrats. I remember 186 00:08:37,559 --> 00:08:39,360 Speaker 1: four years ago they had to rename every They renamed 187 00:08:39,360 --> 00:08:42,360 Speaker 1: every park, every military base, every street. Guy named George 188 00:08:42,360 --> 00:08:46,880 Speaker 1: Floyd Boulevard. They're renaming everything in the world, depending BLM 189 00:08:46,960 --> 00:08:49,559 Speaker 1: all over the streets. We didn't say a word, Nobody 190 00:08:49,600 --> 00:08:54,920 Speaker 1: said it. Don't he renames the Kennedy Center. They go insane, 191 00:08:55,160 --> 00:08:57,640 Speaker 1: and he had a there is a right for him 192 00:08:57,640 --> 00:09:01,360 Speaker 1: to do that. The Kennedy Center apparently crumbling, falling apart. 193 00:09:01,480 --> 00:09:04,559 Speaker 1: He took a tour of the building after coming back 194 00:09:04,600 --> 00:09:07,079 Speaker 1: to office, and he's an expert in this. He's looking 195 00:09:07,640 --> 00:09:10,400 Speaker 1: inside the building everywhere. It's crumbling, it's not being taken 196 00:09:10,440 --> 00:09:12,400 Speaker 1: care of. He had to bring in a lot of 197 00:09:12,440 --> 00:09:16,480 Speaker 1: crews fix the building, save the building. And I know 198 00:09:16,520 --> 00:09:18,959 Speaker 1: they go crazy. He put in his own board and 199 00:09:18,960 --> 00:09:21,600 Speaker 1: they're booking more right wing kind of bit and they're 200 00:09:21,640 --> 00:09:25,320 Speaker 1: getting nuts. Look at the numbers, attendance numbers, ticket sales, 201 00:09:25,440 --> 00:09:27,959 Speaker 1: everything is way up at the Kennedy Center. So you 202 00:09:28,000 --> 00:09:29,880 Speaker 1: can put his name on it. Now, you could make 203 00:09:29,920 --> 00:09:33,360 Speaker 1: the argument, if you're a crazy left winger, that well, 204 00:09:33,840 --> 00:09:35,960 Speaker 1: he's not the type of person who should be on 205 00:09:36,000 --> 00:09:40,640 Speaker 1: a performing arts center. He's not his character. Hey, we 206 00:09:40,640 --> 00:09:44,560 Speaker 1: didn't complain about John F. Kennedy, who's, as Moe Green said, 207 00:09:44,559 --> 00:09:46,120 Speaker 1: banging cocktail waitresses two at. 208 00:09:46,080 --> 00:09:50,120 Speaker 2: A time, not for nothing. Wow three o'clock. But you know, 209 00:09:50,400 --> 00:09:55,000 Speaker 2: there's also this idea that Donald Trump has a legacy 210 00:09:55,960 --> 00:09:58,200 Speaker 2: in the performing arts world, whether it was putting on 211 00:09:58,240 --> 00:10:01,440 Speaker 2: Miss America, whether it was holding brand events, whether it 212 00:10:01,520 --> 00:10:02,400 Speaker 2: was TV shows. 213 00:10:02,400 --> 00:10:04,160 Speaker 1: You actually had the number one TV show in America. 214 00:10:04,360 --> 00:10:06,800 Speaker 2: I mean there is a little bit of background there. 215 00:10:07,120 --> 00:10:10,559 Speaker 1: Yeah, so you might say, well, somebody dignified like John F. Kennedy. 216 00:10:10,679 --> 00:10:13,320 Speaker 1: I love John F. Kennedy, but this guy's with Marilyn Monroe. 217 00:10:13,360 --> 00:10:14,800 Speaker 2: I was going to say, let's talk to Marylyn about 218 00:10:14,840 --> 00:10:15,679 Speaker 2: how dignified he is. 219 00:10:15,679 --> 00:10:17,800 Speaker 1: There's a long list of names. Hey, there's one that 220 00:10:17,920 --> 00:10:21,000 Speaker 1: just did a podcast. We didn't even know about. Mimi Something, 221 00:10:22,040 --> 00:10:25,000 Speaker 1: who tells this story. She was young, like nineteen, working 222 00:10:25,000 --> 00:10:28,600 Speaker 1: in the White House. The President United States said would 223 00:10:28,600 --> 00:10:32,160 Speaker 1: you like a tour of the residents, and, according to her, 224 00:10:32,240 --> 00:10:34,959 Speaker 1: takes her upstairs. They're in the bedroom and. 225 00:10:35,080 --> 00:10:38,679 Speaker 2: Mimi Alfred was nineteen years old when she was seduced 226 00:10:38,720 --> 00:10:41,719 Speaker 2: by President John F. Kennedy. She has now written a 227 00:10:41,760 --> 00:10:42,120 Speaker 2: tell all. 228 00:10:42,320 --> 00:10:44,360 Speaker 1: Oh yeah, but she was on some podcast. There's audio 229 00:10:44,360 --> 00:10:47,920 Speaker 1: of it. She said, I lost my virginity that day, 230 00:10:48,120 --> 00:10:51,160 Speaker 1: and well, it's a presidential order. What are you going 231 00:10:51,240 --> 00:10:55,199 Speaker 1: to do? I mean, gross, no, But you imagine you're nineteen, 232 00:10:55,600 --> 00:10:58,920 Speaker 1: it's the president the United States, You're in the white 233 00:10:58,960 --> 00:11:00,679 Speaker 1: and remember you had that swimming pool where he had. 234 00:11:01,440 --> 00:11:03,480 Speaker 2: He was young. I mean, I will say he was 235 00:11:03,520 --> 00:11:08,040 Speaker 2: a young president. It wasn't like you know other presidents prior. 236 00:11:08,240 --> 00:11:10,480 Speaker 1: He had a father, Joe Kennedy, who was like eighty 237 00:11:10,559 --> 00:11:12,880 Speaker 1: and doing the same exact stuff all the time. But 238 00:11:13,280 --> 00:11:16,680 Speaker 1: he had a swimming pool and there were two let's 239 00:11:16,720 --> 00:11:20,400 Speaker 1: just say. I can't say there were hookers, but there 240 00:11:20,400 --> 00:11:22,560 Speaker 1: were two young women who were put on staff and 241 00:11:22,600 --> 00:11:24,360 Speaker 1: they basically were in the pool with them all day. 242 00:11:24,640 --> 00:11:26,560 Speaker 1: Pixie and Dixie or they had some names like that. 243 00:11:26,800 --> 00:11:29,840 Speaker 2: That sounds about right, Yeah, yeah, so we call them escorts. 244 00:11:30,640 --> 00:11:35,199 Speaker 1: Think we're close to escorts. But if you can put 245 00:11:35,240 --> 00:11:37,400 Speaker 1: Kennedy's name out, you can put Trump's name on the building, 246 00:11:37,840 --> 00:11:43,120 Speaker 1: and then hey good. For sixty minutes, they did a 247 00:11:43,120 --> 00:11:46,120 Speaker 1: piece on the prison in Al Salvador where they take 248 00:11:46,160 --> 00:11:50,280 Speaker 1: the ice people, about how conditions are bad there. It's violent, 249 00:11:50,400 --> 00:11:52,920 Speaker 1: it's dangerous, and they were going to go after Trump 250 00:11:52,960 --> 00:11:55,560 Speaker 1: with this piece, and well, first of all, why would 251 00:11:55,559 --> 00:11:57,280 Speaker 1: it be so violent because these people are in it. 252 00:11:57,320 --> 00:11:58,840 Speaker 1: I think that prooves right there. What kind of people 253 00:11:58,880 --> 00:12:00,640 Speaker 1: they are? You put them in all in one place 254 00:12:00,679 --> 00:12:03,400 Speaker 1: and they're killing each other. But sixty minutes did a 255 00:12:03,440 --> 00:12:06,720 Speaker 1: piece on it, and the new head of City CBS News, 256 00:12:06,720 --> 00:12:09,480 Speaker 1: Berry Weiss, looks at it and she's right. She said, 257 00:12:09,520 --> 00:12:12,000 Speaker 1: you didn't ask anybody from the Trump administration of comment. 258 00:12:12,040 --> 00:12:14,840 Speaker 1: There's no balance here. It's an old story. The New 259 00:12:14,880 --> 00:12:17,800 Speaker 1: York Times did this two months ago, and apparently she 260 00:12:18,320 --> 00:12:20,280 Speaker 1: put it on hold. She said, it'll run, but we're 261 00:12:20,280 --> 00:12:23,439 Speaker 1: gonna interview people in the White House, get the other side, 262 00:12:23,480 --> 00:12:26,920 Speaker 1: make it a fair piece. Well, apparently almost everybody at 263 00:12:26,920 --> 00:12:28,760 Speaker 1: sixty minutes is going to walk out. They're gonna quit. 264 00:12:29,600 --> 00:12:33,200 Speaker 1: They're so you know, up in arms that they're journalists. Meantime, 265 00:12:33,200 --> 00:12:37,520 Speaker 1: in Minnesota, you got the biggest fraud in taxpayer history, 266 00:12:37,640 --> 00:12:40,640 Speaker 1: nine billion now missing. How many reporters are sixty minutes 267 00:12:40,720 --> 00:12:46,679 Speaker 1: sent to cover this? I have the exact number here, zero. None. Now, 268 00:12:48,080 --> 00:12:49,760 Speaker 1: if I were running a news show and I found 269 00:12:49,760 --> 00:12:53,560 Speaker 1: out somebody somewhere in America just stole nine billion from taxpayers, 270 00:12:53,600 --> 00:12:55,719 Speaker 1: wouldn't you send a reporter there? Wouldn't you say, Hey, 271 00:12:55,720 --> 00:12:58,880 Speaker 1: this is a good story, not for sixty minutes. The 272 00:12:59,040 --> 00:13:04,719 Speaker 1: most corrupt? Are they the most? Well? Maybe ABC the Sunday. 273 00:13:04,360 --> 00:13:06,760 Speaker 2: Show I just called even straight across. 274 00:13:07,320 --> 00:13:10,360 Speaker 1: I love that everywhere I didn't the only still watches 275 00:13:11,120 --> 00:13:13,920 Speaker 1: what do they call it? ABC Sunday? Whatever it is 276 00:13:14,000 --> 00:13:17,400 Speaker 1: with George Stephanopolis. 277 00:13:16,000 --> 00:13:16,920 Speaker 2: He's ridiculous. 278 00:13:17,000 --> 00:13:19,640 Speaker 1: He's never on every week I watch It's Jonathan carl 279 00:13:19,760 --> 00:13:23,040 Speaker 1: Or that the old weather beaten old Martha Radditts. Though 280 00:13:24,320 --> 00:13:26,760 Speaker 1: Georg Stephanopps comes in like two three times a year. 281 00:13:26,800 --> 00:13:29,560 Speaker 1: Why is his name still on the show. But hey, 282 00:13:29,559 --> 00:13:31,000 Speaker 1: we got a lot to talk about today. We got 283 00:13:31,000 --> 00:13:33,080 Speaker 1: a lot of great guests to get to a interesting 284 00:13:33,120 --> 00:13:36,000 Speaker 1: governor's race here in New York. We'll go over that. 285 00:13:36,480 --> 00:13:38,640 Speaker 1: You're going to be you can find this very interesting. 286 00:13:38,960 --> 00:13:42,080 Speaker 1: Mark Simone here for Sean Hannity. Hey, make sure you 287 00:13:42,120 --> 00:13:47,640 Speaker 1: follow me on Instagram, Mark Simone NYC and Instagram. Oh 288 00:13:47,679 --> 00:13:49,280 Speaker 1: and follow me on Twitter. They just took away like 289 00:13:49,280 --> 00:13:54,000 Speaker 1: ten thousand followers. They think they're bots. Oh god, Oh 290 00:13:54,160 --> 00:13:59,920 Speaker 1: so Mark Simone and ny Instagram. 291 00:13:58,880 --> 00:14:00,360 Speaker 2: And maybe you'll look it up on the break and 292 00:14:00,360 --> 00:14:02,280 Speaker 2: give it up the right way that would be. 293 00:14:02,320 --> 00:14:05,640 Speaker 1: In you'll find me. He's got a check mark on it. Anyway, 294 00:14:05,760 --> 00:14:08,240 Speaker 1: we had a lot to get to. Mark Simone here 295 00:14:08,280 --> 00:14:09,000 Speaker 1: for Sean. 296 00:14:08,760 --> 00:14:21,200 Speaker 4: Hannedy exposing the Pelosi Party's chaos and corruption all day 297 00:14:21,480 --> 00:14:22,600 Speaker 4: every day. 298 00:14:23,040 --> 00:14:25,760 Speaker 5: This is the Sean Anity Show. 299 00:14:53,160 --> 00:14:55,120 Speaker 1: You're gonna play Christmas music every time, aren't you. 300 00:14:55,920 --> 00:14:56,080 Speaker 3: Now? 301 00:14:56,160 --> 00:14:58,400 Speaker 1: That's actually I like that great. We love Christmas music 302 00:14:58,440 --> 00:15:01,000 Speaker 1: because you get to hear all they Martin next, Yeah, 303 00:15:01,000 --> 00:15:02,480 Speaker 1: well you get to hear all these people. You know, 304 00:15:03,160 --> 00:15:07,280 Speaker 1: people never hear them otherwise you hear Andy Williams, Bing Crosby, 305 00:15:07,400 --> 00:15:11,280 Speaker 1: all these all these people once a year the Pearl 306 00:15:11,400 --> 00:15:13,960 Speaker 1: Lives Pearls. 307 00:15:14,040 --> 00:15:15,280 Speaker 2: I stand by that selection. 308 00:15:15,520 --> 00:15:16,400 Speaker 1: What song did he have? 309 00:15:16,720 --> 00:15:18,800 Speaker 2: Holly Jolly Baby, Oh jolly Christies? 310 00:15:18,920 --> 00:15:22,520 Speaker 1: Of course? Yeah, Oh he was all right, but uh, 311 00:15:23,360 --> 00:15:23,880 Speaker 1: Nat king. 312 00:15:23,840 --> 00:15:29,160 Speaker 2: Cole, you know these Matt King Cole, Karen Carpenter, Ben Crosby, 313 00:15:29,440 --> 00:15:31,160 Speaker 2: Danny Kay, the Andrew Sister. 314 00:15:31,400 --> 00:15:35,160 Speaker 1: Danny. Oh, he was a horrible guy. 315 00:15:36,120 --> 00:15:38,640 Speaker 2: Listen, if we went through a reactor for how nice 316 00:15:38,680 --> 00:15:40,120 Speaker 2: they were, we wouldn't like anybody. 317 00:15:40,680 --> 00:15:43,120 Speaker 1: It's very confusing, you know, like you see Rob Reiner 318 00:15:43,160 --> 00:15:48,080 Speaker 1: on television, Vicious on Trump, vicious Fish. But I knew him. 319 00:15:48,080 --> 00:15:51,480 Speaker 1: He was the sweetest, nicest, most wonderful guy in real life. 320 00:15:51,480 --> 00:15:53,920 Speaker 1: We should talk about this later because it's not just 321 00:15:53,960 --> 00:15:56,920 Speaker 1: there's a lot of people. They're really nice people, friends 322 00:15:56,920 --> 00:16:00,320 Speaker 1: of yours, they're relatives, it's wonderful one. Then you bring 323 00:16:00,440 --> 00:16:04,480 Speaker 1: up Trump in there like screaming maniac. It's it's they 324 00:16:04,560 --> 00:16:06,600 Speaker 1: call it Trump's Arrangement Center. But it's more than that. 325 00:16:06,680 --> 00:16:10,360 Speaker 1: It's like a weird Jekyll and Hyde kind of thing. Hey, 326 00:16:10,440 --> 00:16:13,840 Speaker 1: there's going to be a very interesting governor's race here 327 00:16:13,840 --> 00:16:16,880 Speaker 1: in New York. John McLaughlin is the best polster in 328 00:16:16,920 --> 00:16:19,640 Speaker 1: the world, and we'll talk to him next. He knows 329 00:16:19,680 --> 00:16:22,240 Speaker 1: a lot about that, and we'll talk about the midterms 330 00:16:22,240 --> 00:16:24,880 Speaker 1: and a whole lot more. It's Mark Simone here for 331 00:16:25,040 --> 00:16:56,160 Speaker 1: Sean Hannity. We got a lot coming up. You can't 332 00:16:56,200 --> 00:16:59,960 Speaker 1: always get what you want, but you can get Shawn 333 00:17:00,160 --> 00:17:05,760 Speaker 1: Hannity online at hannity dot Com. Hey, it's Mark Simone 334 00:17:05,840 --> 00:17:08,439 Speaker 1: here for Sean Hannity. We got a lot to get 335 00:17:08,480 --> 00:17:11,399 Speaker 1: to today. But first let's get to the greatest poster 336 00:17:11,520 --> 00:17:13,920 Speaker 1: in the world. Now, there's two kinds of poles. There's 337 00:17:13,960 --> 00:17:15,960 Speaker 1: public polls. You see them in the newspaper, you see 338 00:17:16,000 --> 00:17:19,240 Speaker 1: them on TV. These are cheap, flimsy polls. They take 339 00:17:19,240 --> 00:17:22,359 Speaker 1: a few hundred people, not very carefully selected, and they're 340 00:17:22,880 --> 00:17:25,440 Speaker 1: they're not that accurate. But then if you're a candidate, 341 00:17:25,520 --> 00:17:29,200 Speaker 1: you get the real polls. These are much much, much 342 00:17:29,240 --> 00:17:32,320 Speaker 1: more accurate. It's not two hundred people. They get like 343 00:17:32,320 --> 00:17:36,960 Speaker 1: twenty thousand carefully selected people, an exact model, electric, real 344 00:17:37,480 --> 00:17:40,440 Speaker 1: serious polling. Now, the best in the world is John McLaughlin. 345 00:17:41,440 --> 00:17:44,359 Speaker 1: His website is McLaughlan online dot com. Of course you 346 00:17:44,359 --> 00:17:46,480 Speaker 1: know his cousin, Linda McLaughlin. 347 00:17:46,440 --> 00:17:49,879 Speaker 2: So his favorite cousin. You'll aout that part the absolute 348 00:17:50,040 --> 00:17:50,760 Speaker 2: asking yourself. 349 00:17:51,000 --> 00:17:54,320 Speaker 1: Actually no relation, but John mclochlin the best poster in 350 00:17:54,320 --> 00:17:56,040 Speaker 1: the world. John McLaughlin, how you doing. 351 00:17:56,640 --> 00:17:59,440 Speaker 3: It's a pleasure to be here. Thank you for the introduction, 352 00:17:59,560 --> 00:18:03,119 Speaker 3: as well as Donald Trumps president and having done all 353 00:18:03,240 --> 00:18:07,760 Speaker 3: his campaigns, quite happy to accept. So it's like, and 354 00:18:07,800 --> 00:18:10,399 Speaker 3: by the way, there has to be a distant cousin 355 00:18:10,440 --> 00:18:14,399 Speaker 3: with Linda. Yeah, she's definitely on the smart side of 356 00:18:14,400 --> 00:18:17,560 Speaker 3: the family. So it's like she does it, but she 357 00:18:17,640 --> 00:18:19,119 Speaker 3: does a great job. It's phenomenal. 358 00:18:19,200 --> 00:18:21,480 Speaker 1: Yeah, and Donald Trump is usual used as polster, as 359 00:18:21,520 --> 00:18:25,240 Speaker 1: have premiers, presidents, prime ministers all over the world. Lots 360 00:18:25,280 --> 00:18:29,040 Speaker 1: of people. Hey, now there's a governor's race. We have 361 00:18:29,080 --> 00:18:34,719 Speaker 1: a terrible governor, Kathy Hochel, ineffective and competent Democrat as 362 00:18:34,720 --> 00:18:36,760 Speaker 1: you're going to run them against the least Stephonic, but 363 00:18:36,840 --> 00:18:40,000 Speaker 1: we all we likely stephonic. But she's a legislator, she's 364 00:18:40,040 --> 00:18:43,479 Speaker 1: great running a hearing, interrogation, but none of these skills 365 00:18:43,480 --> 00:18:46,399 Speaker 1: coming to play as a governor. The other candidate was 366 00:18:46,440 --> 00:18:49,600 Speaker 1: Bruce Blakeman, who is a manager who really is a governor. 367 00:18:49,600 --> 00:18:53,320 Speaker 1: He's the county executive of Nassau County, best county executive 368 00:18:53,320 --> 00:18:56,480 Speaker 1: in America, and that's basically being a governor. He's phenomenal 369 00:18:56,560 --> 00:18:58,439 Speaker 1: at it. So what do you think he's now the 370 00:18:58,480 --> 00:19:00,880 Speaker 1: candidate as far as you know, what do you think? 371 00:19:01,640 --> 00:19:04,040 Speaker 3: Well, having pulled for Bruce, he's done a great job. 372 00:19:04,160 --> 00:19:08,080 Speaker 3: Phenomenal And you're exactly right about Bruce. Where I mean, 373 00:19:08,200 --> 00:19:11,320 Speaker 3: Nassau County's right next to New York City and it's 374 00:19:11,359 --> 00:19:14,840 Speaker 3: bigger than eight states in terms of population. So he's 375 00:19:14,920 --> 00:19:18,359 Speaker 3: been running that county for the last four years, and 376 00:19:19,359 --> 00:19:21,440 Speaker 3: you know, to win in New York is really tough 377 00:19:21,440 --> 00:19:24,760 Speaker 3: as a Republican. But like Pataki was able to win 378 00:19:24,920 --> 00:19:27,800 Speaker 3: against Crawl and then serve three terms, Bruce is very 379 00:19:27,800 --> 00:19:31,120 Speaker 3: similar and he's very likable. He also he just won 380 00:19:31,200 --> 00:19:35,320 Speaker 3: reelection where while Republicans were losing in New Jersey and 381 00:19:35,440 --> 00:19:39,720 Speaker 3: Virginia and upstate where they lost like fifty county legislatives upstate, 382 00:19:39,760 --> 00:19:43,040 Speaker 3: and they lost races in Syracuse and other places. Nasal County, 383 00:19:43,080 --> 00:19:46,560 Speaker 3: they swept everything. It's an eight point Democrat county and 384 00:19:46,880 --> 00:19:50,359 Speaker 3: Bruce won by twelve points. It was a blowout, and 385 00:19:50,400 --> 00:19:54,000 Speaker 3: he carried the whole ticket to DA, the clerk, the controller, 386 00:19:54,520 --> 00:19:58,199 Speaker 3: every town office in Hampstead, Hempstead's Awards town of like 387 00:19:58,200 --> 00:20:03,560 Speaker 3: eight hundred thousand people, the Bay North Hampstead. The Republicans 388 00:20:03,600 --> 00:20:08,439 Speaker 3: swept everything, and it was because they ran on a 389 00:20:08,480 --> 00:20:12,200 Speaker 3: record of cutting taxes that was their affordability issue. Bruce 390 00:20:12,359 --> 00:20:16,200 Speaker 3: actually cut taxes that held them the same for four years, frozen. 391 00:20:16,560 --> 00:20:20,240 Speaker 3: And he also hired hundreds of law enforcement officers so 392 00:20:20,320 --> 00:20:23,120 Speaker 3: that it was named the safest county in America by 393 00:20:23,200 --> 00:20:25,679 Speaker 3: US News and Wall Report. So on the issues that 394 00:20:25,720 --> 00:20:28,119 Speaker 3: New Yorkers really care about most. He's got a great 395 00:20:28,160 --> 00:20:31,760 Speaker 3: record like a governor, as you're pointing out. And he 396 00:20:31,840 --> 00:20:34,520 Speaker 3: also did a lot of other good things, like you know, 397 00:20:34,560 --> 00:20:38,600 Speaker 3: he took the mass off the kids after COVID. He did, 398 00:20:39,800 --> 00:20:42,399 Speaker 3: you know, he kept men out of girls' sports and 399 00:20:42,440 --> 00:20:45,960 Speaker 3: county facilities and and he's really done a great job 400 00:20:46,000 --> 00:20:49,880 Speaker 3: as county executive and he's earned i mean, President Trump 401 00:20:49,960 --> 00:20:53,919 Speaker 3: support him. He's earned a you know, a lot of 402 00:20:53,920 --> 00:20:57,800 Speaker 3: support of because he had to run for reelection this 403 00:20:58,000 --> 00:21:01,000 Speaker 3: year and by the way, four year years ago, when 404 00:21:01,040 --> 00:21:04,080 Speaker 3: he was running against the citting county executive who was 405 00:21:04,119 --> 00:21:07,200 Speaker 3: popular at the time but greased taxes and the Democrats 406 00:21:07,200 --> 00:21:09,640 Speaker 3: are trying to bring in Cassas Bail, Bruce was down 407 00:21:09,680 --> 00:21:10,640 Speaker 3: twenty four points. 408 00:21:10,840 --> 00:21:11,879 Speaker 1: Yeah, it was pault. 409 00:21:11,800 --> 00:21:15,000 Speaker 3: Delivered to him and it didn't face him at all. 410 00:21:15,040 --> 00:21:18,480 Speaker 3: He's you know, he's an experience. He's a candidate where 411 00:21:18,480 --> 00:21:21,200 Speaker 3: he's run for office before. He's down twenty four points, 412 00:21:21,320 --> 00:21:23,919 Speaker 3: he worked really hard. He ended up winning that race 413 00:21:24,880 --> 00:21:27,480 Speaker 3: because he stood against Karsas Bail and he stood against 414 00:21:27,520 --> 00:21:29,679 Speaker 3: higher taxes. And what the great thing is now he 415 00:21:29,720 --> 00:21:32,920 Speaker 3: got reelected because he kept his word, which is refreshing 416 00:21:32,960 --> 00:21:33,840 Speaker 3: in politics. 417 00:21:34,000 --> 00:21:36,760 Speaker 1: So yeah, and he's a great, great guy. Known him 418 00:21:36,760 --> 00:21:39,520 Speaker 1: for years. You can tell everybody what a great guy 419 00:21:39,640 --> 00:21:42,879 Speaker 1: is to And when he ran for county executives against 420 00:21:42,880 --> 00:21:46,120 Speaker 1: a woman who it was the same thing like you're 421 00:21:46,119 --> 00:21:48,480 Speaker 1: hearing now, Oh nobody's going to beat her. She's the Democrat, 422 00:21:48,520 --> 00:21:50,600 Speaker 1: it's impossible to beat her, and she was a very nice, 423 00:21:50,640 --> 00:21:54,760 Speaker 1: likable woman, Laura Curran, unlike the screechy Kathy Huckel. So 424 00:21:55,160 --> 00:21:57,280 Speaker 1: this should be actually easier for Bruce Flakeman to win, 425 00:21:57,280 --> 00:22:00,760 Speaker 1: shouldn't it. 426 00:21:59,600 --> 00:22:04,600 Speaker 3: It's certainly I wouldn't say easier, but it's it's certainly 427 00:22:04,640 --> 00:22:07,600 Speaker 3: he's well positioned to win this because the race he 428 00:22:07,800 --> 00:22:11,919 Speaker 3: just came off, you know, he basically was he was 429 00:22:11,920 --> 00:22:14,159 Speaker 3: taking like a quarter of the Democrats. He took a 430 00:22:14,200 --> 00:22:16,720 Speaker 3: third of the African American vote, he won Hispanic voters, 431 00:22:16,720 --> 00:22:22,320 Speaker 3: he won Asian voters, Chinese, Indian, Korean voters, he won 432 00:22:22,359 --> 00:22:25,320 Speaker 3: among independent men but also independent women, and he won 433 00:22:25,400 --> 00:22:29,199 Speaker 3: among Jewish voters. And it's a very diverse county that 434 00:22:29,280 --> 00:22:32,720 Speaker 3: reflects the state. So New York four years ago, leez 435 00:22:32,760 --> 00:22:34,960 Speaker 3: Elden ran a good race, but we kind of got 436 00:22:34,960 --> 00:22:37,080 Speaker 3: frozen in New York City where we only got thirty 437 00:22:37,080 --> 00:22:40,679 Speaker 3: percent of the vote. So you know, Bruce has the 438 00:22:40,760 --> 00:22:43,719 Speaker 3: ability to get more than that by by getting more 439 00:22:43,800 --> 00:22:47,520 Speaker 3: votes in Queens in the Bronx and Seattle boroughs and 440 00:22:47,640 --> 00:22:50,840 Speaker 3: also Brooklyn. But he also could do well upstate too, 441 00:22:50,880 --> 00:22:54,359 Speaker 3: because you know they're not going to want somebody who 442 00:22:55,720 --> 00:22:58,080 Speaker 3: who raised his taxic like Hokle said, because he's trying 443 00:22:58,080 --> 00:23:01,080 Speaker 3: to keep Mandami happy. Who's that going to be the mayor, 444 00:23:01,480 --> 00:23:04,520 Speaker 3: the new big government socialist mayor in New York City. 445 00:23:05,320 --> 00:23:07,800 Speaker 3: She's talking about raising the corporate tax from seven percent 446 00:23:07,840 --> 00:23:11,040 Speaker 3: to eleven percent in New York State, and Bruce came 447 00:23:11,080 --> 00:23:15,600 Speaker 3: out against that instantly because that would drive jobs away 448 00:23:16,040 --> 00:23:18,800 Speaker 3: from New York and upstate. You can't afford to lose 449 00:23:18,840 --> 00:23:22,359 Speaker 3: any more jobs, whether it's Buffalo or you know, Plattsburgh 450 00:23:22,720 --> 00:23:25,920 Speaker 3: or Syracuse. I mean, you just can't the southern tier. 451 00:23:25,960 --> 00:23:29,600 Speaker 3: You can't afford to lose these jobs. So Bruce is 452 00:23:29,640 --> 00:23:32,440 Speaker 3: already you know, he's challenging on her record. He wants 453 00:23:32,440 --> 00:23:35,359 Speaker 3: to run on against her record. You know, he'll compare 454 00:23:35,400 --> 00:23:39,240 Speaker 3: his record versus hers on taxes, on jobs, on crime, 455 00:23:39,280 --> 00:23:43,159 Speaker 3: and his certainly have new ideas to you know, improve 456 00:23:43,280 --> 00:23:46,040 Speaker 3: education in the state and as well as handle some 457 00:23:46,080 --> 00:23:49,479 Speaker 3: of these homeless and mental health issue problems. And so 458 00:23:50,440 --> 00:23:52,040 Speaker 3: I think I think we can have a really good 459 00:23:52,040 --> 00:23:53,200 Speaker 3: campaign going on this year. 460 00:23:53,359 --> 00:23:56,040 Speaker 1: Yeah. Hey, these Democrats like as you mentioned, Kathy Hochele 461 00:23:56,160 --> 00:24:00,240 Speaker 1: or Mom Donnie Bernie s all these ye p eased 462 00:24:00,280 --> 00:24:03,879 Speaker 1: corporate taxes. Increased corporate taxes. Do they realize that's a tariff. 463 00:24:04,000 --> 00:24:06,679 Speaker 1: It's basically the same thing as through having tariffs. So 464 00:24:07,160 --> 00:24:08,360 Speaker 1: it's democrat tariffs. 465 00:24:09,200 --> 00:24:12,720 Speaker 3: I mean, you raise taxes on a business, they'll just 466 00:24:12,760 --> 00:24:14,880 Speaker 3: pass it on to the consumer. But the other part 467 00:24:14,960 --> 00:24:16,800 Speaker 3: what's worse than New Yorker. What we've seen is they 468 00:24:16,880 --> 00:24:20,520 Speaker 3: leave New York. They're more than happy to go. They 469 00:24:20,520 --> 00:24:23,400 Speaker 3: could go to New Jersey, they could go to Georgia 470 00:24:23,400 --> 00:24:26,560 Speaker 3: and North Carolina, they can go to Tennessee, Florida, Texas. 471 00:24:26,680 --> 00:24:30,399 Speaker 3: How many jobs are we lost to Texas? So so 472 00:24:30,520 --> 00:24:34,040 Speaker 3: that's you know that it's just not a good idea. 473 00:24:34,480 --> 00:24:36,919 Speaker 3: And by the way, you go upstate New York, you know, 474 00:24:37,000 --> 00:24:39,639 Speaker 3: you go to Buffalo and Rochester, et cetera. You know, 475 00:24:39,680 --> 00:24:41,879 Speaker 3: you're looking at downtown and say where you know, where's 476 00:24:41,880 --> 00:24:45,120 Speaker 3: the business is gone, where's carrier gone, Where's where's in Syracuse, 477 00:24:45,160 --> 00:24:49,000 Speaker 3: where's you know, Xerox, Kodak, et cetera. Go over the 478 00:24:49,040 --> 00:24:52,800 Speaker 3: border to Toronto. Toronto, the corporate tax in Canada is 479 00:24:52,800 --> 00:24:56,439 Speaker 3: like fifteen percent, and New York, you know, you have 480 00:24:56,440 --> 00:24:58,520 Speaker 3: a twenty one percent federal tax. And then New York 481 00:24:58,520 --> 00:25:01,840 Speaker 3: they're want to raise it eleven on time that who wow, 482 00:25:01,920 --> 00:25:05,200 Speaker 3: there's more jobs. They'll they'll go out of the country again. 483 00:25:05,600 --> 00:25:09,439 Speaker 1: Hey, well, let's talk about midterms. This is very important 484 00:25:09,440 --> 00:25:11,680 Speaker 1: the midterms now. I think it's is it kind of 485 00:25:11,720 --> 00:25:14,640 Speaker 1: crazy to predict anything now because it's like asking who's 486 00:25:14,640 --> 00:25:16,560 Speaker 1: going to win the super Bowl in twenty twenty seven. 487 00:25:16,600 --> 00:25:19,040 Speaker 1: I mean, who knows. I mean, it's anything could change 488 00:25:19,040 --> 00:25:20,920 Speaker 1: between now and the midterms or am I wrong? 489 00:25:22,440 --> 00:25:25,399 Speaker 3: Well, I mean it's close. We have a new national 490 00:25:25,400 --> 00:25:28,400 Speaker 3: poll that we just posted today where the Republicans are 491 00:25:28,400 --> 00:25:31,560 Speaker 3: down by a point forty forty six to forty five. 492 00:25:31,680 --> 00:25:34,640 Speaker 3: But that's really close. That's in the margin er even 493 00:25:34,680 --> 00:25:36,639 Speaker 3: for a national poll of a thousand plus a minus 494 00:25:36,640 --> 00:25:39,520 Speaker 3: three percent. So you're going to have a close midterm 495 00:25:39,520 --> 00:25:44,359 Speaker 3: election that's focused on you know, maybe fifty sixty seventy seats. 496 00:25:44,560 --> 00:25:47,520 Speaker 3: But you know, you got, like you said, you've got 497 00:25:47,560 --> 00:25:50,480 Speaker 3: ten months and ten and a half months to decide 498 00:25:50,520 --> 00:25:53,439 Speaker 3: that election, and there's going to be a lot of 499 00:25:53,480 --> 00:25:56,000 Speaker 3: things that a lot of factors. The good news is 500 00:25:56,320 --> 00:25:58,920 Speaker 3: Donald Trump has a his job ringing we have him 501 00:25:58,920 --> 00:26:01,880 Speaker 3: a fifty percent job and it's holding from and again 502 00:26:01,960 --> 00:26:05,879 Speaker 3: we do a thousand likely voters modeled after national elections, 503 00:26:05,920 --> 00:26:08,159 Speaker 3: not like these other polls where they have adults and 504 00:26:08,600 --> 00:26:12,040 Speaker 3: illegal immigrants and whomever in the polls, but that don't 505 00:26:12,119 --> 00:26:17,760 Speaker 3: like Trump or so that's a poll of likely voters, 506 00:26:18,080 --> 00:26:20,359 Speaker 3: and you're looking at a year for now, and it's close. 507 00:26:21,119 --> 00:26:24,240 Speaker 3: But I mean, the economy is starting to grow. And 508 00:26:24,280 --> 00:26:26,119 Speaker 3: one of the things, one of the most important things 509 00:26:26,160 --> 00:26:29,520 Speaker 3: we found in the survey was that a lot they 510 00:26:29,560 --> 00:26:31,880 Speaker 3: don't know the facts. They think the economy's getting worse 511 00:26:31,920 --> 00:26:34,879 Speaker 3: because they don't know the facts. And President Trump was 512 00:26:34,960 --> 00:26:38,360 Speaker 3: censored in the speech that he made this week. I mean, 513 00:26:38,400 --> 00:26:42,560 Speaker 3: they literally cut out the graphs showing lower inflation under Trump, 514 00:26:42,840 --> 00:26:46,920 Speaker 3: showing higher wages under Trump, showing lower gas prices. I mean, 515 00:26:46,960 --> 00:26:49,600 Speaker 3: the networks, a whole bunch of them, wouldn't I mean, 516 00:26:49,640 --> 00:26:52,160 Speaker 3: the President of the United States does a national address 517 00:26:52,640 --> 00:26:55,320 Speaker 3: and they won't let them show the graphs. They censored 518 00:26:55,320 --> 00:26:59,480 Speaker 3: it out, and it was just absolutely ridiculous. But when 519 00:26:59,520 --> 00:27:03,399 Speaker 3: they learned of the facts that the economy is growing, 520 00:27:03,440 --> 00:27:07,040 Speaker 3: et cetera, they they're more likely to say the economy 521 00:27:07,119 --> 00:27:10,240 Speaker 3: is getting better sixty one to thirty three. But right 522 00:27:10,280 --> 00:27:13,240 Speaker 3: now they're not getting those facts. And it's a real 523 00:27:13,320 --> 00:27:15,880 Speaker 3: challenge because we had to do that in his campaign 524 00:27:16,480 --> 00:27:18,640 Speaker 3: in twenty twenty four. I mean, they were trying to sense. 525 00:27:18,760 --> 00:27:22,400 Speaker 3: I mean in twenty twenty Biden. I believe Biden won 526 00:27:22,520 --> 00:27:27,040 Speaker 3: because they censored us. And there was with that Hunter 527 00:27:27,080 --> 00:27:30,160 Speaker 3: Biden laptop. We did a post election poll and I've 528 00:27:30,200 --> 00:27:32,280 Speaker 3: talked about on the show with Sean and Linda before, 529 00:27:32,720 --> 00:27:36,679 Speaker 3: where among the Biden voters, thirty six percent were not 530 00:27:36,760 --> 00:27:39,800 Speaker 3: aware of the Hunter Biden laptop story. And if they 531 00:27:39,840 --> 00:27:42,440 Speaker 3: were aware enough would have changed that Donald Trump would 532 00:27:42,440 --> 00:27:45,040 Speaker 3: have won the election. And that was Media Research Center 533 00:27:45,080 --> 00:27:48,439 Speaker 3: Broke Brempozel published that, and that was a survey that 534 00:27:48,480 --> 00:27:52,120 Speaker 3: we did. And you know, they're trying it again. They're 535 00:27:52,160 --> 00:27:55,240 Speaker 3: going to I mean literally, they want to censor. They 536 00:27:55,240 --> 00:27:59,200 Speaker 3: want to censor the Trump record so that the Democrats 537 00:27:59,280 --> 00:28:00,160 Speaker 3: retake Congress. 538 00:28:00,280 --> 00:28:01,879 Speaker 1: I mean, but this is going to be the roughest 539 00:28:01,960 --> 00:28:04,320 Speaker 1: race ever because they've got to stop him this time. 540 00:28:04,640 --> 00:28:08,080 Speaker 1: They can't let him have two more years of Congress 541 00:28:08,119 --> 00:28:10,439 Speaker 1: on his side, so they're going to do everything to 542 00:28:10,440 --> 00:28:12,920 Speaker 1: stop him. Now, what can President Trump do? What did 543 00:28:12,920 --> 00:28:13,760 Speaker 1: he do to counter this? 544 00:28:14,560 --> 00:28:16,719 Speaker 3: Go directly to people, I mean, first of all. One 545 00:28:16,760 --> 00:28:19,000 Speaker 3: of the things he always did was and again he'd 546 00:28:19,040 --> 00:28:21,760 Speaker 3: been inside the Belway in Washington. He's running the government. 547 00:28:22,359 --> 00:28:23,840 Speaker 3: You got to get that back out to the fetal. 548 00:28:23,880 --> 00:28:25,520 Speaker 3: He's got to do his rallies, he's got to go 549 00:28:25,520 --> 00:28:29,080 Speaker 3: out there for the candidates's and and when he goes 550 00:28:29,119 --> 00:28:34,200 Speaker 3: out there, it generates a lot of like untraditional media coverage. 551 00:28:34,800 --> 00:28:38,200 Speaker 3: People go to these things, and the Trump campaign had 552 00:28:38,200 --> 00:28:39,800 Speaker 3: it down to the science. When you go to that, 553 00:28:39,880 --> 00:28:42,080 Speaker 3: you sign up with your email, We get your cell phone, 554 00:28:42,120 --> 00:28:44,600 Speaker 3: we text you, we email you, we send you a 555 00:28:44,640 --> 00:28:47,400 Speaker 3: lot of information. You send that out to your friends, 556 00:28:47,440 --> 00:28:50,800 Speaker 3: whether it's Facebook, et cetera. But they they hear the 557 00:28:50,840 --> 00:28:54,360 Speaker 3: president's message. They hear that he wants to you know, 558 00:28:54,560 --> 00:28:57,320 Speaker 3: he wants to lower taxes. You'll know that that the 559 00:28:57,400 --> 00:28:59,440 Speaker 3: tax got he passed is going to save you money. 560 00:28:59,680 --> 00:29:02,120 Speaker 3: You should get a refund back if you're paying taxes. 561 00:29:02,320 --> 00:29:05,840 Speaker 3: Most Americans will, and there'll be no tax on tips, 562 00:29:05,840 --> 00:29:08,480 Speaker 3: no tax on overtime, no tax you'll get tax credits 563 00:29:08,480 --> 00:29:13,280 Speaker 3: for security, so security, so you know, those kinds of 564 00:29:13,320 --> 00:29:18,280 Speaker 3: things where people get the real facts, that changes. That's 565 00:29:18,280 --> 00:29:20,000 Speaker 3: how we won the election. That's how we won the 566 00:29:20,040 --> 00:29:23,479 Speaker 3: popular vote and swept the battleground states. Are just getting 567 00:29:23,480 --> 00:29:24,920 Speaker 3: out there directly to the people. 568 00:29:25,200 --> 00:29:27,560 Speaker 1: Yeah, you know people. And I realized, I said, well, 569 00:29:27,840 --> 00:29:29,440 Speaker 1: not everybody's going to watch the rally. But as you 570 00:29:29,440 --> 00:29:32,800 Speaker 1: point out, that's interesting. They collect the email the phone 571 00:29:32,880 --> 00:29:35,480 Speaker 1: number of every single person at every rally and that 572 00:29:35,600 --> 00:29:37,160 Speaker 1: in the end, that could be millions of people in 573 00:29:37,160 --> 00:29:37,800 Speaker 1: the end, right. 574 00:29:38,200 --> 00:29:40,080 Speaker 3: Oh, it's tens of millions of people. And they and 575 00:29:40,320 --> 00:29:43,280 Speaker 3: what they do is they you know, they they send 576 00:29:43,280 --> 00:29:46,080 Speaker 3: it not just the ones who attend. Like remember when 577 00:29:46,080 --> 00:29:49,360 Speaker 3: he came to Madison Square Garden, anybody who want anybody 578 00:29:49,360 --> 00:29:52,600 Speaker 3: who wanted to get inside had to sign up via 579 00:29:52,640 --> 00:29:56,280 Speaker 3: email or tax So we got that information. Same thing 580 00:29:56,320 --> 00:29:59,680 Speaker 3: when you know, Blakeman had the Nassau County, Nassau County, 581 00:29:59,760 --> 00:30:04,000 Speaker 3: they the Nassau Coliseum rally was great, great event, and 582 00:30:04,760 --> 00:30:07,800 Speaker 3: we had that information and we could go directly to 583 00:30:07,840 --> 00:30:10,600 Speaker 3: the voters and give them the truth that you wouldn't 584 00:30:10,600 --> 00:30:13,360 Speaker 3: have to be censored by the press. So it was 585 00:30:13,400 --> 00:30:16,040 Speaker 3: a tough lesson to learn. In twenty twenty when they 586 00:30:16,040 --> 00:30:19,200 Speaker 3: said the Hunter Biden laptop wasn't real and John Brennan 587 00:30:19,240 --> 00:30:22,200 Speaker 3: and the gang were saying, oh, it's Russian disinformation. Now 588 00:30:22,240 --> 00:30:25,680 Speaker 3: that we know that it's totally not true what they said, 589 00:30:25,880 --> 00:30:29,640 Speaker 3: thanks to Tulsey GABBARTT and thanks to John Ratcliff, they've 590 00:30:30,320 --> 00:30:33,480 Speaker 3: shown us what, you know, what frauds they were. So 591 00:30:34,120 --> 00:30:35,760 Speaker 3: we just have to get the facts out to the 592 00:30:35,800 --> 00:30:38,360 Speaker 3: feel of that. The economy today, the GDP it's over 593 00:30:38,480 --> 00:30:42,240 Speaker 3: four percent, hasn't been this high in years, and the 594 00:30:42,400 --> 00:30:46,360 Speaker 3: economic growth is going and they're growing. You're now having 595 00:30:46,440 --> 00:30:49,920 Speaker 3: wages grow again faster than the rate of inflation, which 596 00:30:49,960 --> 00:30:52,240 Speaker 3: is what people need to get to, you know, feel 597 00:30:52,240 --> 00:30:55,320 Speaker 3: better that you know, they to recover from the four 598 00:30:55,400 --> 00:30:56,480 Speaker 3: years of Biden inflation. 599 00:30:56,720 --> 00:30:59,640 Speaker 1: Yeah. Well, John McLaughlin, great stuff. You can take a 600 00:30:59,640 --> 00:31:02,480 Speaker 1: look at this website McLachlan online dot com and if 601 00:31:02,480 --> 00:31:04,800 Speaker 1: you ever need the best polster on earth, it's John 602 00:31:04,880 --> 00:31:08,520 Speaker 1: McLachlan and great stuff. We'll talk again soon. Thanks for 603 00:31:08,520 --> 00:31:09,280 Speaker 1: being with us. 604 00:31:09,720 --> 00:31:13,400 Speaker 3: Merry Christmas, Mark, thank you. Merry Christmas, Linda. 605 00:31:13,840 --> 00:31:15,800 Speaker 1: Thanks for being with us. Take care. Are we allowed 606 00:31:15,800 --> 00:31:18,600 Speaker 1: to say Merry Christmas? We have to say happy holidays? Absolutely, 607 00:31:18,720 --> 00:31:23,040 Speaker 1: Merry Christmas. There you go. So I hear Christmas music 608 00:31:23,080 --> 00:31:28,640 Speaker 1: behind me again? It's you switched songs there right, it 609 00:31:28,720 --> 00:31:33,400 Speaker 1: was Paul McCartney. Then it was oh, it's all a 610 00:31:33,440 --> 00:31:35,760 Speaker 1: blurry all these Christmas. We love Christmas. Hey, we'll take 611 00:31:35,800 --> 00:31:39,200 Speaker 1: some calls next eight hundred nine four one. Sean is 612 00:31:39,240 --> 00:31:49,360 Speaker 1: the number, Mark Simone here for Sean Hannity. 613 00:31:47,480 --> 00:31:52,520 Speaker 5: Man for America, great for edited fake news, sad jobbles 614 00:31:52,600 --> 00:32:41,360 Speaker 5: finds the truth for you and me, Sean Hannity. 615 00:32:19,360 --> 00:32:22,800 Speaker 1: Ah again with the Christmas music. It's getting me. 616 00:32:22,840 --> 00:32:25,320 Speaker 2: Mark, did you know that we are only two days 617 00:32:25,320 --> 00:32:28,560 Speaker 2: away from Christmas? Hence the inspiration that makes us play 618 00:32:28,720 --> 00:32:29,720 Speaker 2: said Christmas music? 619 00:32:29,880 --> 00:32:31,920 Speaker 1: Well, I know they got those radio stations where the 620 00:32:31,960 --> 00:32:33,720 Speaker 1: last four weeks of the year they play nothing but 621 00:32:33,800 --> 00:32:36,880 Speaker 1: Christmas music twenty four to seven. And whenever I'm at 622 00:32:36,920 --> 00:32:40,400 Speaker 1: one of them, all the DJs are like, like, I 623 00:32:40,480 --> 00:32:44,960 Speaker 1: guys can't tell anything. We love it, but yeah, hey, 624 00:32:45,000 --> 00:32:47,080 Speaker 1: I love Frank Sinatra. Bid Yeah, wudn't with him twenty 625 00:32:47,080 --> 00:32:48,600 Speaker 1: four to seven for a month? 626 00:32:48,640 --> 00:32:48,760 Speaker 3: Hey? 627 00:32:48,800 --> 00:32:51,560 Speaker 1: Speaking of which, you have Fox Nation, you know the 628 00:32:51,760 --> 00:32:55,600 Speaker 1: Fox streaming service. Absolutely, there's a new documentary about Sinatra 629 00:32:55,680 --> 00:33:01,760 Speaker 1: called Something Sinatra Icon. It's phenomenal. I'm even in it. 630 00:33:01,840 --> 00:33:02,960 Speaker 1: But it's phenomenal. 631 00:33:03,240 --> 00:33:03,640 Speaker 2: You're in it. 632 00:33:03,880 --> 00:33:06,440 Speaker 1: Yeah, it's not documentary, Fox Nation,