1 00:00:00,160 --> 00:00:01,120 Speaker 1: Well, we have come in. 2 00:00:02,800 --> 00:00:09,760 Speaker 2: Your way against as saying you a conscious cell, will 3 00:00:10,039 --> 00:00:11,360 Speaker 2: be desire. 4 00:00:11,640 --> 00:00:16,680 Speaker 1: Come a talen and if you want a little banging. 5 00:00:16,400 --> 00:00:19,080 Speaker 3: A yuni and come along. But the media has tamed 6 00:00:19,120 --> 00:00:19,720 Speaker 3: down a little bit. 7 00:00:19,920 --> 00:00:21,240 Speaker 1: They likeing us much better now. 8 00:00:21,280 --> 00:00:23,840 Speaker 3: I think if they don't, we'll have to just take 9 00:00:23,920 --> 00:00:25,640 Speaker 3: them on again, and we don't want to do that. 10 00:00:25,840 --> 00:00:28,080 Speaker 4: Violence is never the answer of This guy gets a 11 00:00:28,160 --> 00:00:31,960 Speaker 4: trial who's allegedly killed the CEO of United Health. 12 00:00:32,520 --> 00:00:34,400 Speaker 2: But you can only push people so far. 13 00:00:34,600 --> 00:00:42,519 Speaker 3: People interpret and feel and experience denied claims as an 14 00:00:42,560 --> 00:00:43,920 Speaker 3: act of violence against them. 15 00:00:44,280 --> 00:00:46,760 Speaker 1: Freedom is back in style. 16 00:00:47,440 --> 00:00:53,280 Speaker 2: Welcome to the revolution we have coming to your city, 17 00:00:55,120 --> 00:00:58,160 Speaker 2: going the way I gets thousand, saying you a conscious cult. 18 00:01:00,200 --> 00:01:03,760 Speaker 2: The New Sean Hannity Show, more Me, I'm the scenes, 19 00:01:03,840 --> 00:01:11,080 Speaker 2: information on freaking news and more bold inspired solutions for America. 20 00:01:12,200 --> 00:01:16,880 Speaker 1: Hey it's me, It's Mark Simone. Sean is off today, 21 00:01:17,880 --> 00:01:19,640 Speaker 1: so I'll be doing that. We got a lot to 22 00:01:19,680 --> 00:01:21,520 Speaker 1: talk about, a lot of great things to get to Normally, 23 00:01:21,520 --> 00:01:25,480 Speaker 1: I'm on our big flagship station w R here in 24 00:01:25,480 --> 00:01:27,520 Speaker 1: New York, or you can hear me on the iHeart 25 00:01:27,560 --> 00:01:31,600 Speaker 1: app or iHeartRadio or all of that twenty five days. 26 00:01:32,280 --> 00:01:38,440 Speaker 1: Twenty five days, our national nightmare is over. Twenty five days. 27 00:01:39,040 --> 00:01:42,400 Speaker 1: It's gonna be a big, big adjustment for Joe Biden 28 00:01:43,560 --> 00:01:47,600 Speaker 1: from the fast paced White House to just kind of 29 00:01:47,640 --> 00:01:50,240 Speaker 1: resting all day. You know, it's gonna it's very tough 30 00:01:50,240 --> 00:01:53,440 Speaker 1: when the guy retires. You know, action, action, action, all 31 00:01:53,520 --> 00:01:57,400 Speaker 1: day long, and then suddenly I imagine he's having it be 32 00:01:57,480 --> 00:02:02,120 Speaker 1: tough for him to decompress. Actually, twenty six days from now, 33 00:02:02,200 --> 00:02:05,639 Speaker 1: I want to begin the effort to find out who 34 00:02:05,680 --> 00:02:08,000 Speaker 1: the hell has been running the country for the last 35 00:02:08,040 --> 00:02:11,480 Speaker 1: four years. You know, every time a president leaves, historians 36 00:02:11,480 --> 00:02:14,639 Speaker 1: go to work with these books and these examinations of 37 00:02:14,680 --> 00:02:20,720 Speaker 1: the administration. Now, you know, media is so corrupt, so corrupt. 38 00:02:20,720 --> 00:02:22,400 Speaker 1: You know, how many books have come out about Donald 39 00:02:22,440 --> 00:02:27,320 Speaker 1: Trump last four years? But fifty? I could name how 40 00:02:27,320 --> 00:02:29,320 Speaker 1: many books do you think came out about Joe Biden 41 00:02:29,320 --> 00:02:35,280 Speaker 1: the last four none? Zero? Well, Joe Kanya, Joe Kanya 42 00:02:35,360 --> 00:02:39,000 Speaker 1: wrote a book about but that's the only book. Can 43 00:02:39,040 --> 00:02:41,080 Speaker 1: you imagine the guy as president of the United States 44 00:02:41,120 --> 00:02:45,240 Speaker 1: and nobody writes a book about him? Nobody. Everything is 45 00:02:45,240 --> 00:02:48,880 Speaker 1: a secret with this guy. But historians, historically, when it's 46 00:02:48,919 --> 00:02:52,760 Speaker 1: over they'll go back and really analyze what happened. Let's 47 00:02:52,760 --> 00:02:54,760 Speaker 1: see if any of them are honest enough to go 48 00:02:55,360 --> 00:02:58,520 Speaker 1: find out who ran the country for the last four years. 49 00:02:58,560 --> 00:03:04,320 Speaker 1: Obviously the committee staff, Obama Sorows. I mean, we know 50 00:03:04,360 --> 00:03:08,120 Speaker 1: the coaches on the field, Susan Rice, Ron Klaim, but 51 00:03:08,280 --> 00:03:11,720 Speaker 1: we want to know who was actually running the place. 52 00:03:12,240 --> 00:03:17,160 Speaker 1: Joe Biden signed fifteen hundred pardons in one night. He's 53 00:03:17,200 --> 00:03:20,639 Speaker 1: supposed to read these and study them. If you gave 54 00:03:20,720 --> 00:03:22,720 Speaker 1: him one and said here, read this, do you think 55 00:03:22,760 --> 00:03:25,679 Speaker 1: he could read the one? Just give him the first 56 00:03:25,680 --> 00:03:28,119 Speaker 1: page you think you could read? So who read those pardons? 57 00:03:28,320 --> 00:03:32,360 Speaker 1: Who decided listen? Obviously they were all favors to donors, 58 00:03:32,360 --> 00:03:36,400 Speaker 1: to whatever congress person needed to pardon. Whoever bought a 59 00:03:36,480 --> 00:03:41,080 Speaker 1: hunter painting. I'm sure foreign interests had a lot of 60 00:03:41,240 --> 00:03:46,160 Speaker 1: people they wanted pardon. Joe Biden. Let's see, last night 61 00:03:46,480 --> 00:03:49,400 Speaker 1: he signed fifty eight new laws. Now here's the guy 62 00:03:49,440 --> 00:03:51,240 Speaker 1: doesn't even know his name. You think he really read 63 00:03:51,280 --> 00:03:54,480 Speaker 1: these fifty eight new laws. We need to know one day, 64 00:03:54,960 --> 00:03:58,760 Speaker 1: who put these together, who came up with all these decisions, 65 00:03:59,080 --> 00:04:01,240 Speaker 1: Who came up with these fifty eight new laws, Who 66 00:04:02,840 --> 00:04:05,040 Speaker 1: who made him sign it. Yeah. Actually there are people 67 00:04:05,080 --> 00:04:07,600 Speaker 1: that want to check the pardons and the laws to 68 00:04:07,640 --> 00:04:10,920 Speaker 1: see if they were signed with autos signature, which would 69 00:04:10,920 --> 00:04:14,480 Speaker 1: not and they would therefore not even be legal right now, 70 00:04:14,880 --> 00:04:17,839 Speaker 1: So I hope you had a great Christmas. Where we're 71 00:04:17,839 --> 00:04:22,120 Speaker 1: here live today, Ethan at the controls, Linda not here, 72 00:04:22,160 --> 00:04:26,039 Speaker 1: but the big boss himself, Stanger, himself, Eric Stanger has 73 00:04:26,120 --> 00:04:30,719 Speaker 1: actually come in to work the show. It's quite a sacrifice, 74 00:04:30,720 --> 00:04:33,839 Speaker 1: you know, for the big guy to come in and work. 75 00:04:33,920 --> 00:04:35,560 Speaker 1: Then you ask these people, now, I want to get 76 00:04:35,560 --> 00:04:39,440 Speaker 1: out of the house. Everybody wants to get out of 77 00:04:39,480 --> 00:04:42,880 Speaker 1: their house. They've had enough of sitting around. They can't 78 00:04:42,920 --> 00:04:45,640 Speaker 1: watch anymore. How many times can you watch a Christmas 79 00:04:45,720 --> 00:04:48,520 Speaker 1: Story and It's a Wonderful Life. Well, when I was 80 00:04:48,560 --> 00:04:51,560 Speaker 1: a kid, that movie, It's a wonderful life, it meant 81 00:04:51,640 --> 00:04:55,360 Speaker 1: so much. And that now for the five millionth time 82 00:04:55,600 --> 00:04:58,719 Speaker 1: when it's on, I can't watch this anyway. Now I 83 00:04:58,800 --> 00:05:01,279 Speaker 1: watch it and I realized the whole ending makes no 84 00:05:01,360 --> 00:05:05,200 Speaker 1: sense at all. The town was much better without this 85 00:05:05,320 --> 00:05:08,200 Speaker 1: Jimmy Stewart guy. Without him, they had night clubs, they 86 00:05:08,200 --> 00:05:12,520 Speaker 1: had casinos. It was phenomenal with them. Nothing it's like 87 00:05:12,560 --> 00:05:15,960 Speaker 1: the Andy Griffith Show. So the whole ending didn't make sense. Now, 88 00:05:16,920 --> 00:05:18,920 Speaker 1: get lots to talk about. We'll take your calls. One 89 00:05:18,920 --> 00:05:21,720 Speaker 1: eight hundred nine to one Sean is the number. One 90 00:05:21,720 --> 00:05:24,400 Speaker 1: eight hundred nine to four to one Sean. Hey, that 91 00:05:24,520 --> 00:05:28,080 Speaker 1: football game? Two football games on Christmas. This has got 92 00:05:28,120 --> 00:05:31,159 Speaker 1: to become a tradition. It is very important. We need 93 00:05:31,200 --> 00:05:35,080 Speaker 1: football on Christmas. Remember every Thanksgiving there was one football game. 94 00:05:35,120 --> 00:05:38,600 Speaker 1: It's always the Detroit Lions every Thanksgiving. Next thing, you know, 95 00:05:38,640 --> 00:05:41,880 Speaker 1: it's two football games and then three football games. Now 96 00:05:41,880 --> 00:05:44,840 Speaker 1: it's eleven football games on Thanksgiving. We need to do 97 00:05:44,880 --> 00:05:47,360 Speaker 1: this to Christmas because most people have a house full 98 00:05:47,360 --> 00:05:50,919 Speaker 1: of relatives. You have to get away from them. You 99 00:05:51,080 --> 00:05:54,680 Speaker 1: need these football games. Jerry Jones, Cowboys owner, says we 100 00:05:54,960 --> 00:05:58,120 Speaker 1: are behind this one thousand percent. We won more games 101 00:05:58,160 --> 00:06:02,480 Speaker 1: on Christmas. Very very important. Hey, him walking here and 102 00:06:02,520 --> 00:06:05,039 Speaker 1: out in the corner, there's a big trash can with 103 00:06:05,120 --> 00:06:08,600 Speaker 1: a Christmas tree in it. I don't know who the 104 00:06:08,640 --> 00:06:11,799 Speaker 1: hell this guy is, but you are one very impatient guy. 105 00:06:12,040 --> 00:06:17,200 Speaker 1: It ended a few hours ago. Boy, are you in 106 00:06:17,200 --> 00:06:20,240 Speaker 1: a hurry to get onto the next thing? So? Hey, 107 00:06:20,279 --> 00:06:23,560 Speaker 1: the other thing, there's a New York Times article. It's 108 00:06:23,680 --> 00:06:26,839 Speaker 1: very funny now the New York Times totally corrupt light 109 00:06:26,920 --> 00:06:30,280 Speaker 1: about everything, conned their readers. They're the ones that kept 110 00:06:30,320 --> 00:06:32,480 Speaker 1: telling you for four years, Joe Biden's great, and he's 111 00:06:32,480 --> 00:06:36,360 Speaker 1: so alert, he's unbelievable in meetings, they lied about everything. 112 00:06:37,839 --> 00:06:41,000 Speaker 1: What they do. It's the CYA department in New York Times. 113 00:06:41,839 --> 00:06:44,320 Speaker 1: Every so often they have to write a cya article 114 00:06:44,400 --> 00:06:48,480 Speaker 1: cover your you know what, like they did one about 115 00:06:48,520 --> 00:06:50,680 Speaker 1: two weeks are saying Joe Biden has slowed down a lot, 116 00:06:50,760 --> 00:06:53,120 Speaker 1: his ages getting to him. There's a bit of decline. 117 00:06:53,160 --> 00:06:55,839 Speaker 1: That's just to cover themselves. So if you say you 118 00:06:55,920 --> 00:06:58,680 Speaker 1: are lying, no, no, look right there, we wrote the article. Well, 119 00:06:58,720 --> 00:07:00,920 Speaker 1: they got one today about regrets. That's the things Joe 120 00:07:00,920 --> 00:07:04,920 Speaker 1: Biden regrets. They were trying to help him. But if 121 00:07:04,960 --> 00:07:06,840 Speaker 1: you read this, you get even madder at the guy. 122 00:07:06,880 --> 00:07:09,320 Speaker 1: You know what. His biggest regret was of the whole 123 00:07:09,360 --> 00:07:12,680 Speaker 1: four years that when he sent the stimulus checks out 124 00:07:12,720 --> 00:07:16,960 Speaker 1: for the virus during the pandemic, he didn't put his 125 00:07:17,080 --> 00:07:20,040 Speaker 1: name on them. It wasn't his signature. He felt he 126 00:07:20,040 --> 00:07:22,680 Speaker 1: should have done that. That would have he felt that 127 00:07:22,680 --> 00:07:26,320 Speaker 1: would have helped him ast that's the biggest regret. Number 128 00:07:26,320 --> 00:07:29,280 Speaker 1: two was the debate. You remember the debate where he 129 00:07:29,320 --> 00:07:32,360 Speaker 1: didn't know where the heck he was. But although he 130 00:07:32,440 --> 00:07:35,800 Speaker 1: says what the real issue with the debate was he 131 00:07:35,880 --> 00:07:38,320 Speaker 1: had a bad cold, it was the timing. He should 132 00:07:38,320 --> 00:07:40,880 Speaker 1: have postponed it. Now, I've had a lot of bad cults. 133 00:07:40,880 --> 00:07:42,760 Speaker 1: I never had a cold where I'm bumping into walls 134 00:07:42,760 --> 00:07:44,600 Speaker 1: and I don't know my name and I can't think straight. 135 00:07:44,800 --> 00:07:47,800 Speaker 1: That's a hell of a cold. So people reading this 136 00:07:47,840 --> 00:07:51,000 Speaker 1: list are getting furious because Afghanistan is not on it. 137 00:07:52,000 --> 00:07:55,680 Speaker 1: Getting all those people killed, getting our servicemen killed, that 138 00:07:55,760 --> 00:07:59,720 Speaker 1: should have been the number one regret. Now, if somebody 139 00:07:59,840 --> 00:08:02,000 Speaker 1: is honest out there in the media, you'll start working 140 00:08:02,040 --> 00:08:05,320 Speaker 1: on the book What really happened behind the scenes, Who 141 00:08:05,360 --> 00:08:08,440 Speaker 1: was really running the country? Speaking of Afghanistan, we find 142 00:08:08,440 --> 00:08:11,400 Speaker 1: out that the families of those killed are waiting on 143 00:08:11,440 --> 00:08:14,960 Speaker 1: the tarmac for Biden. The plane has landed. He he 144 00:08:15,000 --> 00:08:17,840 Speaker 1: doesn't get out of the plane. They have to wait 145 00:08:17,960 --> 00:08:19,920 Speaker 1: three hours from to get out of the What the 146 00:08:20,000 --> 00:08:22,800 Speaker 1: hell took three hours? Now we find out he was napping. 147 00:08:23,840 --> 00:08:25,360 Speaker 1: He was in such bad shape he had to take 148 00:08:25,360 --> 00:08:31,120 Speaker 1: a nap for three hours on the plane. Unbelievable. So again, 149 00:08:31,440 --> 00:08:34,360 Speaker 1: somebody out there must be an honest historian out there somewhere, 150 00:08:34,679 --> 00:08:39,320 Speaker 1: somebody write this book. Again. He signed fifty eight new laws. 151 00:08:39,440 --> 00:08:42,720 Speaker 1: They say he's on vacation, doing a lot of damage 152 00:08:42,720 --> 00:08:46,160 Speaker 1: for a guy on vacation. And then the last stay 153 00:08:46,240 --> 00:08:50,000 Speaker 1: or two they have been rushing massive orders of weapons 154 00:08:50,000 --> 00:08:55,920 Speaker 1: to Ukraine, huge, huge amounts of weapons, new weapons to Ukraine. 155 00:08:56,200 --> 00:08:58,800 Speaker 1: Now they'll tell you publicly that the reason for that 156 00:08:59,480 --> 00:09:01,800 Speaker 1: they're worried when Trump comes in that he'll cut off 157 00:09:01,880 --> 00:09:05,080 Speaker 1: Ukraine and they won't have the arms to defend themselves with. 158 00:09:05,200 --> 00:09:09,080 Speaker 1: That's not what this is all about. These are defense contracts. 159 00:09:10,080 --> 00:09:13,840 Speaker 1: This is what politicians biden people in Congress. This is 160 00:09:13,880 --> 00:09:15,920 Speaker 1: what they do for a living. They get money from 161 00:09:15,920 --> 00:09:20,480 Speaker 1: defense contractors. That's why he's rushing these weapons. If Ukraine 162 00:09:20,480 --> 00:09:22,680 Speaker 1: needs another ten million bombs, they'll send it to them 163 00:09:23,080 --> 00:09:24,840 Speaker 1: and hope that they use them, because every time they 164 00:09:24,920 --> 00:09:27,640 Speaker 1: use a bomb, it's got to be replaced. Every bomb 165 00:09:27,760 --> 00:09:31,400 Speaker 1: is another six million dollars. So that's why they're doing this. Now. 166 00:09:31,640 --> 00:09:34,840 Speaker 1: The real concern that they have is that if Trump 167 00:09:34,920 --> 00:09:40,160 Speaker 1: takes office, he could quickly settle the Ukraine War, and 168 00:09:40,200 --> 00:09:44,120 Speaker 1: then there'll be an excess of weapons and it'll hurt 169 00:09:44,120 --> 00:09:50,040 Speaker 1: the defense contractors. This is the main concern. Now, that's 170 00:09:50,880 --> 00:09:53,880 Speaker 1: how politics works in Washington. This is we still got 171 00:09:53,880 --> 00:09:57,280 Speaker 1: twenty five days. Usually the dirtiest stuff happens in the 172 00:09:57,320 --> 00:10:00,560 Speaker 1: final week. So this is nothing compared to him to 173 00:10:00,679 --> 00:10:04,320 Speaker 1: what's coming. But defense contractors all this stuff, you know, 174 00:10:04,320 --> 00:10:08,360 Speaker 1: Pete Hegseath. That's one of the big arguments against Hexath. 175 00:10:08,920 --> 00:10:10,719 Speaker 1: I know they tell you he was drinking with this was 176 00:10:10,800 --> 00:10:13,440 Speaker 1: that he was behind the scenes. The real argument he 177 00:10:13,520 --> 00:10:16,960 Speaker 1: has no connection to the defense contractors. This is unheard 178 00:10:17,000 --> 00:10:21,080 Speaker 1: of for a defense secretary. All these defense secretaries were 179 00:10:21,120 --> 00:10:24,520 Speaker 1: working with the defense contractors, even this current one, Lloyd Austin. 180 00:10:25,800 --> 00:10:27,679 Speaker 1: He's been in the military for years, but they took 181 00:10:27,720 --> 00:10:29,360 Speaker 1: a break for ten years to go work for all 182 00:10:29,360 --> 00:10:33,120 Speaker 1: the defense contractors. That's the problem with Hexath and every 183 00:10:33,280 --> 00:10:36,080 Speaker 1: It's not about qualifications. If you take a list of 184 00:10:36,160 --> 00:10:39,559 Speaker 1: all the secretaries of Defense we've had, Hexath has more 185 00:10:39,640 --> 00:10:42,240 Speaker 1: qualifications than half of them. One of them was just 186 00:10:42,280 --> 00:10:44,600 Speaker 1: an academic, one of them was from a think tank, 187 00:10:45,000 --> 00:10:47,600 Speaker 1: one of them was many of them were just congressmen. 188 00:10:47,640 --> 00:10:51,560 Speaker 1: That's all they were, but they were very, very connected 189 00:10:51,600 --> 00:10:55,120 Speaker 1: to the defense contractors. So that's why they're concerned about Hexath. 190 00:10:55,200 --> 00:10:57,640 Speaker 1: That's why they want to stop them. They don't need 191 00:10:57,679 --> 00:11:01,120 Speaker 1: a guy breaking up the business model that they currently 192 00:11:01,160 --> 00:11:04,000 Speaker 1: have going. Hey, we'll get Tomorrow Lago. You see if 193 00:11:04,000 --> 00:11:07,080 Speaker 1: you're on Instagram or Twitter or Facebook, you see all 194 00:11:07,120 --> 00:11:10,199 Speaker 1: these people posting all the all the mar A Lago stuff. 195 00:11:10,240 --> 00:11:12,120 Speaker 1: What really goes on there? If you're there Christmas, sir, 196 00:11:12,559 --> 00:11:14,240 Speaker 1: New Year's I'll explain it to you. I'll tell you 197 00:11:14,280 --> 00:11:16,080 Speaker 1: what really happens here. Hey, by the way, follow me 198 00:11:16,120 --> 00:11:21,200 Speaker 1: on Instagram. Mark Simone NYC on Instagram. Twitter, It's Mark 199 00:11:21,240 --> 00:11:24,959 Speaker 1: Simone n Y at Twitter. I hear music? Are you 200 00:11:25,080 --> 00:11:31,120 Speaker 1: just serenading me or a subtle hint? Oh? Okay, I 201 00:11:31,160 --> 00:11:32,840 Speaker 1: think they're trying to tell us something. It's like the 202 00:11:32,880 --> 00:11:34,360 Speaker 1: Oscars when they want you to get off you hear 203 00:11:34,480 --> 00:11:36,959 Speaker 1: music playing. So hey, we'll take some calls to eight 204 00:11:37,000 --> 00:11:39,640 Speaker 1: hundred and nine to one. Sewan is the number. Mark 205 00:11:39,720 --> 00:11:43,360 Speaker 1: Simone here on the Sean Hannity Show. Hey, it's Mark 206 00:11:43,400 --> 00:11:46,080 Speaker 1: Simone here for Sean Hannity. It's the Sean Hannity Show. 207 00:11:46,080 --> 00:11:48,280 Speaker 1: You know I gave up my Instagram before the break. Now, 208 00:11:48,320 --> 00:11:50,199 Speaker 1: one reason I like to do that, I want to 209 00:11:50,240 --> 00:11:52,160 Speaker 1: give out your Instagram. All these people start following you, 210 00:11:52,679 --> 00:11:54,560 Speaker 1: and I can then go look and see who started 211 00:11:54,559 --> 00:11:56,720 Speaker 1: following I can look at them, I can see their pictures. 212 00:11:57,080 --> 00:12:01,040 Speaker 1: This is a very impressive audience, very nice, classy people. 213 00:12:01,360 --> 00:12:04,040 Speaker 1: If you're an advertiser, I'm just telling you, if I 214 00:12:04,080 --> 00:12:07,040 Speaker 1: showed you who just started, these are handedy listeners, lilies, 215 00:12:08,120 --> 00:12:10,920 Speaker 1: sharp looking, nice looking. There's a couple of executives. Here's 216 00:12:10,920 --> 00:12:15,920 Speaker 1: a great NYPD, highly decorated guy. Some very good looking 217 00:12:15,920 --> 00:12:19,280 Speaker 1: women out here too. So I'm just telling you that's 218 00:12:19,280 --> 00:12:21,200 Speaker 1: the kind of audience you have on talk radio now, 219 00:12:21,280 --> 00:12:23,720 Speaker 1: unless it's liberal talk radio. If I went on a 220 00:12:23,800 --> 00:12:27,160 Speaker 1: left wing talk radio and gave out my Instagram, you 221 00:12:27,160 --> 00:12:31,040 Speaker 1: should see who starts following you. People you don't want 222 00:12:31,080 --> 00:12:34,960 Speaker 1: following you anywhere in life. But anyway, it's a great audience. 223 00:12:35,960 --> 00:12:39,280 Speaker 1: Should we take some calls. Let's go to Jeff, who's 224 00:12:39,320 --> 00:12:42,000 Speaker 1: in San Diego. Jeff, welcome to the Sean Hannity Show. 225 00:12:44,120 --> 00:12:44,440 Speaker 1: Thank you. 226 00:12:44,520 --> 00:12:49,080 Speaker 4: Mark. I called up not expecting to be on because 227 00:12:49,080 --> 00:12:50,680 Speaker 4: I'm a liberal and oh. 228 00:12:50,559 --> 00:12:53,760 Speaker 1: You're a liberal. Oh no, no, no, It's okay, I'll 229 00:12:53,760 --> 00:12:54,840 Speaker 1: talk slower, go ahead. 230 00:12:54,960 --> 00:12:56,600 Speaker 4: I'm in my late seventies. 231 00:12:57,120 --> 00:13:00,160 Speaker 1: I'm that perfect right in that target demo. 232 00:13:01,080 --> 00:13:05,280 Speaker 4: I'm a conservative liberal, I'm an American patriot, and I 233 00:13:05,400 --> 00:13:09,280 Speaker 4: caught up just to say, why does Donald Trump have 234 00:13:09,360 --> 00:13:12,520 Speaker 4: to say these stupid things about Denmark and Canada and Panama, 235 00:13:12,760 --> 00:13:13,520 Speaker 4: which we should know. 236 00:13:14,280 --> 00:13:19,840 Speaker 1: What stupid things? But I would rather do what stupid 237 00:13:19,840 --> 00:13:21,360 Speaker 1: thing did he say? I don't know what you're referring to. 238 00:13:22,640 --> 00:13:29,760 Speaker 4: Well about giving us back the canal too late? Denmark 239 00:13:30,040 --> 00:13:31,439 Speaker 4: is not going to give up Greenland. 240 00:13:31,559 --> 00:13:34,079 Speaker 1: Well, hold on, let's take these one by one. Greenland. 241 00:13:34,920 --> 00:13:38,960 Speaker 1: Taking Greenland is a democratic liberal idea. Truman started it, 242 00:13:39,080 --> 00:13:41,439 Speaker 1: Carter worked hard on it. We do want to get Greenland. 243 00:13:41,760 --> 00:13:47,280 Speaker 1: It's absolutely a no brainer. Huge mineral resources, the most 244 00:13:47,360 --> 00:13:50,320 Speaker 1: oil supply in the world, and it's not on populated land. 245 00:13:50,320 --> 00:13:52,920 Speaker 1: It's easy to get it out of there. Also extremely 246 00:13:52,960 --> 00:13:57,040 Speaker 1: important for defense purposes. Every president has wanted Greenland. I 247 00:13:57,120 --> 00:13:59,760 Speaker 1: know they say they won't sell it. This is haggling over. 248 00:14:00,640 --> 00:14:03,000 Speaker 1: The price will probably be one hundred and twenty billion, 249 00:14:03,600 --> 00:14:05,559 Speaker 1: but the minerals and the oil on it more than 250 00:14:05,600 --> 00:14:08,480 Speaker 1: pays for it. So if you you know the first 251 00:14:08,520 --> 00:14:11,080 Speaker 1: thing you do if you're Denmark, we will never sell. 252 00:14:11,160 --> 00:14:13,839 Speaker 1: That's to get the price up. As far as Panama, 253 00:14:13,880 --> 00:14:16,240 Speaker 1: they may not make a deal with us, but the 254 00:14:16,280 --> 00:14:19,360 Speaker 1: whole reason for Panama is they are overcharging us like crazy. 255 00:14:20,040 --> 00:14:23,640 Speaker 1: We're just getting robbed financially with the canal, big mistake, 256 00:14:23,840 --> 00:14:27,840 Speaker 1: losing control. Are you still there, Jeff, your attention, I 257 00:14:28,160 --> 00:14:29,240 Speaker 1: look like a guy. It's already in the middle of 258 00:14:29,280 --> 00:14:32,040 Speaker 1: a conversation we come back. Did you hear anything I said? 259 00:14:33,000 --> 00:14:35,440 Speaker 4: I would like to say some things that I agree 260 00:14:35,480 --> 00:14:38,440 Speaker 4: with with Trump and the conservative. 261 00:14:37,920 --> 00:14:39,480 Speaker 1: You see, this is the key to it. I just 262 00:14:39,520 --> 00:14:42,040 Speaker 1: gave him the whole explanation. He's not interesting. I just 263 00:14:42,040 --> 00:14:45,120 Speaker 1: want to talk. He just like to talk. Yeah, that's fascinating. 264 00:14:45,680 --> 00:14:49,160 Speaker 4: So I live in Santa Sedra, California. 265 00:14:48,760 --> 00:14:51,320 Speaker 1: If you call that living, but okay, border, No, it's 266 00:14:51,320 --> 00:14:54,520 Speaker 1: actually a beautiful area. San Diego is beautiful, beautiful. 267 00:14:54,520 --> 00:14:57,040 Speaker 4: It's kind of beautiful, Dave in the sixties compared to 268 00:14:57,040 --> 00:14:57,880 Speaker 4: most of the country. 269 00:14:58,080 --> 00:15:01,080 Speaker 1: Anyway, let's just stop and because time. You're a good 270 00:15:01,080 --> 00:15:04,720 Speaker 1: old fashioned Bill Clinton Democrat, right, a common sense JFK. 271 00:15:04,920 --> 00:15:06,680 Speaker 1: Clinton Democrat? Would you would you agree? 272 00:15:08,400 --> 00:15:13,880 Speaker 4: I go back my family, but group for this country. 273 00:15:13,920 --> 00:15:16,200 Speaker 1: It's a happy hour out there already started. 274 00:15:16,800 --> 00:15:17,800 Speaker 4: About the border. 275 00:15:18,160 --> 00:15:20,240 Speaker 1: Yeah, four blocks from the border. 276 00:15:20,400 --> 00:15:24,680 Speaker 4: Yeah, people are coming in. They get one block past 277 00:15:24,720 --> 00:15:29,080 Speaker 4: the border and gangs of Mexicans who are illegal immigrants. 278 00:15:29,200 --> 00:15:31,840 Speaker 1: Yeah. But you're a liberal. You're supposed to say, hey, welcome, welcome, 279 00:15:32,080 --> 00:15:32,960 Speaker 1: need some water here. 280 00:15:33,080 --> 00:15:35,160 Speaker 4: I'm not supposed to say this stuff. And it's my 281 00:15:35,320 --> 00:15:36,720 Speaker 4: liberal friends mad. 282 00:15:38,000 --> 00:15:40,600 Speaker 1: They just found So you agree with me on Greenland? 283 00:15:40,640 --> 00:15:44,240 Speaker 1: Is that it Well, let's just say it's not even 284 00:15:44,280 --> 00:15:47,680 Speaker 1: listening anyway. You're a very nice guy, Jeff, and enjoy 285 00:15:47,720 --> 00:15:51,760 Speaker 1: the rest of your day. Thanks for checking in with us. 286 00:15:52,240 --> 00:15:56,560 Speaker 1: It's happy hour all day long where he lives, Jeff 287 00:15:56,600 --> 00:15:59,760 Speaker 1: in San Diego, having a good time. He starts happy 288 00:15:59,800 --> 00:16:06,600 Speaker 1: hour even before Kamala Harris does. And that's saying something. So, hey, 289 00:16:06,600 --> 00:16:07,840 Speaker 1: we got a lot to get to. We'll get to 290 00:16:09,160 --> 00:16:11,880 Speaker 1: one great thing besides fixing the economy, all that the 291 00:16:12,000 --> 00:16:14,640 Speaker 1: crime in our cities. You'd be surprised how much Trump 292 00:16:14,680 --> 00:16:17,640 Speaker 1: can affect That crime is out of control in so 293 00:16:17,760 --> 00:16:21,240 Speaker 1: many places thanks to democratic mayors and governors. We'll talk 294 00:16:21,280 --> 00:16:24,480 Speaker 1: about that in a moment. Don't forget to check out 295 00:16:24,520 --> 00:16:27,040 Speaker 1: the website, Hannity dot Com. There's always great stuff up 296 00:16:27,080 --> 00:16:33,480 Speaker 1: there Hannity dot Com and Hannity Tonight nine o'clock Fox 297 00:16:33,520 --> 00:16:38,040 Speaker 1: News Channel. Also follow me on Instagram. It's Mark Simone 298 00:16:38,360 --> 00:16:42,400 Speaker 1: NYC at Instagram. Also Twitter. I didn't used to say that, 299 00:16:42,480 --> 00:16:45,200 Speaker 1: but now you can follow me on Twitter again. I'm 300 00:16:45,240 --> 00:16:48,400 Speaker 1: not shadow band. I can actually get new followers. Thank you. 301 00:16:48,480 --> 00:16:52,880 Speaker 1: Elon Musk. It's Mark Simone ny at Twitter. And we'll 302 00:16:52,880 --> 00:16:54,480 Speaker 1: take a look at crime, We'll take a look at 303 00:16:54,520 --> 00:16:56,920 Speaker 1: the economy with lots of great stuff. Coming up on 304 00:16:57,080 --> 00:16:58,560 Speaker 1: the Sean Hannity Show. 305 00:16:58,640 --> 00:17:03,360 Speaker 2: Hannity uncovers a real truth about the politics of DC. 306 00:17:04,359 --> 00:17:08,400 Speaker 2: He's your watchdog, one big brother. Every day. 307 00:17:08,960 --> 00:17:14,560 Speaker 1: Hannity is on right now. That's Scott Shennon, the Great, 308 00:17:14,600 --> 00:17:18,520 Speaker 1: Scott Schennon, the Legend. Hey, with us, it's Mark Simone 309 00:17:18,560 --> 00:17:21,560 Speaker 1: here for Sean, Sean Hannity. You'll be back soon. Mark 310 00:17:21,640 --> 00:17:23,920 Speaker 1: Simone here in the meantime and with us right now, 311 00:17:24,080 --> 00:17:30,600 Speaker 1: Paul Morrow, who's former NYPD inspector, great attorney and he's 312 00:17:30,640 --> 00:17:35,080 Speaker 1: the founder of opsdesk dot org, ops desk dot org 313 00:17:35,160 --> 00:17:40,680 Speaker 1: and LUSA. Talking about Paul Morrow, how you doing very good? 314 00:17:40,720 --> 00:17:43,600 Speaker 1: Just choking to desk. You shouldn't eat while you do 315 00:17:43,640 --> 00:17:49,320 Speaker 1: the show. That's the other thing. Hey, crime in New York, Uh, 316 00:17:49,920 --> 00:17:53,280 Speaker 1: you know, we had Rudy Giuliani, we had Michael Bloomberg 317 00:17:53,359 --> 00:17:55,399 Speaker 1: kept all the Giuliani stuff. We had Ray Kelly, the 318 00:17:55,400 --> 00:17:58,080 Speaker 1: greatest police COMMISSI. We had all this going on, got 319 00:17:58,160 --> 00:18:01,440 Speaker 1: rid of everything's cleaned up, and then what's the point 320 00:18:01,440 --> 00:18:03,800 Speaker 1: of doing that if then all of a sudden democrats 321 00:18:03,840 --> 00:18:05,640 Speaker 1: are going to come in and put things right back 322 00:18:05,640 --> 00:18:06,320 Speaker 1: the way they were. 323 00:18:07,560 --> 00:18:09,520 Speaker 3: Yeah, it's a very good question. You know. One of 324 00:18:09,520 --> 00:18:12,560 Speaker 3: the curses of living a while is that you see 325 00:18:12,600 --> 00:18:15,760 Speaker 3: the cycle. And we went through this in the seventies 326 00:18:15,760 --> 00:18:19,600 Speaker 3: and the eighties. It took certain iconic crimes in the 327 00:18:19,680 --> 00:18:22,680 Speaker 3: nineteen nineties and the city's crime rate to hit a 328 00:18:22,760 --> 00:18:26,200 Speaker 3: point that the online was really being affected. The city 329 00:18:26,280 --> 00:18:29,919 Speaker 3: was toying with going bankrupt, et cetera. And very famously 330 00:18:29,960 --> 00:18:33,520 Speaker 3: we had almost twenty three hundred murders. And so finally 331 00:18:33,560 --> 00:18:36,120 Speaker 3: you hit in the deer and Juliani came in, as 332 00:18:36,119 --> 00:18:39,840 Speaker 3: you're saying, and we had a good twenty year run there, 333 00:18:40,040 --> 00:18:42,240 Speaker 3: which I was very fortunate to bookend. I was there 334 00:18:42,280 --> 00:18:44,840 Speaker 3: for all of that pretty much, and you know, so 335 00:18:45,040 --> 00:18:48,280 Speaker 3: really saw the progression, and then to watch us now 336 00:18:48,359 --> 00:18:51,280 Speaker 3: make all of the same mistakes, all of the indulgent, 337 00:18:51,520 --> 00:18:57,080 Speaker 3: naive progressive ideas where we just expect everybody to behave 338 00:18:57,200 --> 00:19:01,880 Speaker 3: with nothing, barcarole to use brags overused is just so naive, 339 00:19:01,960 --> 00:19:04,440 Speaker 3: and it's really heartbreaking if it's somebody who cares about 340 00:19:04,480 --> 00:19:06,720 Speaker 3: New York City and has spent most of his life here. 341 00:19:07,680 --> 00:19:10,160 Speaker 1: If you're a Democratic leader, the mayor, the governor, even 342 00:19:10,200 --> 00:19:13,880 Speaker 1: the awful district attorney you mentioned, and you try something 343 00:19:14,160 --> 00:19:17,800 Speaker 1: like no jail, no bail or whatever, and then the 344 00:19:17,840 --> 00:19:20,159 Speaker 1: crime rate just sours and people are getting wiped out 345 00:19:20,200 --> 00:19:23,480 Speaker 1: all over the don't you save yourself? Huh didn't work? 346 00:19:23,560 --> 00:19:25,560 Speaker 1: I better switch policy. Why don't they ever do that? 347 00:19:26,359 --> 00:19:29,080 Speaker 3: You would think, right at this point, right now, I 348 00:19:29,560 --> 00:19:32,920 Speaker 3: wonder if even Alvin Bragg might actually start to smell 349 00:19:32,920 --> 00:19:35,159 Speaker 3: the coffee. One of the things I would point to 350 00:19:35,480 --> 00:19:37,520 Speaker 3: is the fact that right on day one and his 351 00:19:37,680 --> 00:19:40,720 Speaker 3: infamous Day one memo, and he's not the only culprit, 352 00:19:40,720 --> 00:19:42,760 Speaker 3: by the way, the New York City Council and the 353 00:19:42,800 --> 00:19:45,800 Speaker 3: New York State Legislature are equally culpable. If not more 354 00:19:45,840 --> 00:19:48,320 Speaker 3: so certainly the state legislature. They are the ones who 355 00:19:48,359 --> 00:19:50,560 Speaker 3: puts through all the bail reforms. But to your point, 356 00:19:51,240 --> 00:19:55,879 Speaker 3: Greggy on his day one put out that infamous memo 357 00:19:55,960 --> 00:19:58,240 Speaker 3: where he said that we're not going to be prosecuting 358 00:19:58,240 --> 00:20:02,360 Speaker 3: the following crimes. Literally, by the way, is not even 359 00:20:03,040 --> 00:20:06,399 Speaker 3: legal realistically. What he's done is he's just decided to 360 00:20:06,480 --> 00:20:09,240 Speaker 3: assume the role of the legislature and take a whole 361 00:20:09,280 --> 00:20:13,520 Speaker 3: slate of statutes off the books. That's not prosecutorial discretion, 362 00:20:13,960 --> 00:20:16,600 Speaker 3: all right, that's assuming the role of the legislature can 363 00:20:16,640 --> 00:20:19,600 Speaker 3: row vocal laws that it's passed. But in any case, 364 00:20:19,920 --> 00:20:22,439 Speaker 3: he decides he's not prosecuting a whole series of laws, 365 00:20:22,520 --> 00:20:24,560 Speaker 3: and we're seeing a direct result. And let me just 366 00:20:24,640 --> 00:20:28,040 Speaker 3: point to this recent horrific incident on the subway where 367 00:20:28,080 --> 00:20:32,120 Speaker 3: a Guatemalan immigrant allegedly lit a woman on fire. That 368 00:20:32,160 --> 00:20:34,600 Speaker 3: guy never mind not being in this country, that guy 369 00:20:34,640 --> 00:20:36,679 Speaker 3: should not be on the subway. Because one of the 370 00:20:36,720 --> 00:20:39,720 Speaker 3: things that Bragg took off the table was step the service, 371 00:20:40,200 --> 00:20:43,320 Speaker 3: and that's a fancy way of saying fair beating and 372 00:20:44,880 --> 00:20:47,080 Speaker 3: kept cracking down on fair beating was one of the 373 00:20:47,200 --> 00:20:51,000 Speaker 3: lynchpins of the broken windows policing that worked so well, 374 00:20:51,040 --> 00:20:53,680 Speaker 3: as you'd say, in the nineties and the two thousands, 375 00:20:54,280 --> 00:20:57,040 Speaker 3: and so by taking that off the table, you've seen 376 00:20:57,119 --> 00:20:59,600 Speaker 3: now the results in the subway and why the subways 377 00:20:59,640 --> 00:21:01,960 Speaker 3: now are rolling shike ward because these are people in 378 00:21:02,000 --> 00:21:04,080 Speaker 3: the past who would have had a much harder time 379 00:21:04,400 --> 00:21:06,879 Speaker 3: getting onto the subway. This is just another example of 380 00:21:06,920 --> 00:21:11,199 Speaker 3: the downstream effect of this kind of wrongheaded naivete that 381 00:21:11,440 --> 00:21:13,360 Speaker 3: the Alvin Braggs of the world and the New York 382 00:21:13,359 --> 00:21:15,960 Speaker 3: State legislatures just seemed to not want to give up on. 383 00:21:16,720 --> 00:21:19,600 Speaker 1: Yes. So we had this hero Daniel Penny who tried 384 00:21:19,600 --> 00:21:22,280 Speaker 1: to intervene and save people on the train. The marine 385 00:21:22,320 --> 00:21:25,040 Speaker 1: who you know, put his the call of the choke 386 00:21:25,080 --> 00:21:28,639 Speaker 1: cal wasn't really a choke hold, but they try to 387 00:21:28,640 --> 00:21:31,040 Speaker 1: convict this guy. He went through hell, he finally got acquitted. 388 00:21:31,280 --> 00:21:33,800 Speaker 1: So with this last incident where the woman is being 389 00:21:33,920 --> 00:21:37,480 Speaker 1: burned alive on the subway, apparently all the bystanders not 390 00:21:37,520 --> 00:21:40,080 Speaker 1: only didn't want to help, but even when the police came, 391 00:21:40,119 --> 00:21:43,639 Speaker 1: didn't want to identify the criminal. They were so afraid 392 00:21:43,680 --> 00:21:49,800 Speaker 1: of being let's use the term Daniel pennied. So again 393 00:21:49,880 --> 00:21:54,560 Speaker 1: these democrats what they've done to major cities. How much 394 00:21:54,600 --> 00:21:57,800 Speaker 1: can Donald Trump do to try to have an affected 395 00:21:58,400 --> 00:21:59,879 Speaker 1: I know he can't run the cities, but what can 396 00:21:59,920 --> 00:22:00,919 Speaker 1: he do to help that? 397 00:22:01,680 --> 00:22:03,639 Speaker 3: Yeah, it's a very good question. So he's got a 398 00:22:03,640 --> 00:22:07,000 Speaker 3: couple of levers here. First of all, the funding New 399 00:22:07,080 --> 00:22:10,360 Speaker 3: York City and the big Bluesay, all cities really get 400 00:22:10,400 --> 00:22:12,800 Speaker 3: a lot of funding from the federal government. Most people realize, 401 00:22:12,800 --> 00:22:15,960 Speaker 3: and that's certainly devolvesta policing. There's all kinds of programs 402 00:22:15,960 --> 00:22:19,760 Speaker 3: that are funded by the federal government, including things like 403 00:22:19,800 --> 00:22:23,399 Speaker 3: counter terrorism, FEMA funding, et cetera. You can put a 404 00:22:23,480 --> 00:22:27,359 Speaker 3: choke hold on that. He can also do things like 405 00:22:27,400 --> 00:22:30,320 Speaker 3: set up task forces, and that's what's coming with Tom Holman. 406 00:22:30,480 --> 00:22:32,040 Speaker 3: I think a lot of people don't realize that if 407 00:22:32,080 --> 00:22:35,440 Speaker 3: you're in the task force, as a local cop NYPD 408 00:22:35,640 --> 00:22:38,560 Speaker 3: or any cop across the country JTTF or the Joint 409 00:22:38,920 --> 00:22:42,119 Speaker 3: Bank Robbery Task Force, et cetera, you're federalized. You are 410 00:22:42,280 --> 00:22:45,439 Speaker 3: essentially a federal agent. And that was one of the 411 00:22:45,480 --> 00:22:48,840 Speaker 3: roles that I operated in for a while. And so consequently, 412 00:22:49,240 --> 00:22:53,399 Speaker 3: all of the measures and the levers that you can 413 00:22:53,480 --> 00:22:56,760 Speaker 3: use as a federal agent are available to you. Well, well, 414 00:22:56,840 --> 00:23:01,520 Speaker 3: Tom Holman's thus to set up joint immigration crime test forces, 415 00:23:01,560 --> 00:23:03,280 Speaker 3: and some of these cities are going to resist it. 416 00:23:03,320 --> 00:23:05,639 Speaker 3: Certainly when once he sets us up, the local cops 417 00:23:05,640 --> 00:23:08,119 Speaker 3: that are on those test forces can do this stuff 418 00:23:08,680 --> 00:23:11,200 Speaker 3: that we need done at the local level. And he's 419 00:23:11,240 --> 00:23:13,480 Speaker 3: talked a lot about how they're going to have a 420 00:23:13,520 --> 00:23:16,280 Speaker 3: tesk force model. Problem is, of course there's a lot 421 00:23:16,280 --> 00:23:18,000 Speaker 3: of these century cities are not going to be on 422 00:23:18,040 --> 00:23:20,560 Speaker 3: board with it. But that's when you say, okay, you 423 00:23:20,600 --> 00:23:22,760 Speaker 3: want to kind of terrorism funding, you're on your own. 424 00:23:24,080 --> 00:23:27,080 Speaker 3: That is settled federal law, so you can do things 425 00:23:27,119 --> 00:23:28,920 Speaker 3: like that, and you can also do the reverse, which 426 00:23:28,960 --> 00:23:30,679 Speaker 3: is you can fund and we saw that in the 427 00:23:30,760 --> 00:23:35,639 Speaker 3: nineties where God help us, Bill Clinton actually recognized that 428 00:23:35,720 --> 00:23:37,639 Speaker 3: we'd kind of bottomed out in our cities in the 429 00:23:37,640 --> 00:23:40,280 Speaker 3: famous Cops program that he puts through in conjunction with 430 00:23:40,359 --> 00:23:44,040 Speaker 3: New Gingbridge opened up all kinds of overtime funding for 431 00:23:44,080 --> 00:23:45,520 Speaker 3: the police, and that was one of the things that 432 00:23:45,680 --> 00:23:48,760 Speaker 3: really kickstarted in the mid nineties and into the two thousands, 433 00:23:49,280 --> 00:23:51,800 Speaker 3: the crack down to the cities that actually got us 434 00:23:51,880 --> 00:23:53,920 Speaker 3: what I would argue is a renaissance of new York City. 435 00:23:53,960 --> 00:23:55,480 Speaker 3: I don't think it had ever been so good maybe 436 00:23:55,480 --> 00:23:58,720 Speaker 3: in its history. And so you can do those sorts 437 00:23:58,720 --> 00:24:01,360 Speaker 3: of things. You can do funding, you can publicize stuff, 438 00:24:01,800 --> 00:24:04,399 Speaker 3: and if you really need to, you really need to, 439 00:24:04,520 --> 00:24:09,000 Speaker 3: you can use federal measures like lawsuits, some rights suits. 440 00:24:09,400 --> 00:24:12,840 Speaker 3: You can bring it. You can even prosecute criminally if 441 00:24:12,840 --> 00:24:15,240 Speaker 3: you feel that it rises to that level. It's certainly 442 00:24:15,240 --> 00:24:18,280 Speaker 3: you can sue that. He does have some levers. And 443 00:24:18,440 --> 00:24:20,720 Speaker 3: I actually expect him to do it because he's made 444 00:24:20,760 --> 00:24:22,920 Speaker 3: a lot of statements about how he's going to clean 445 00:24:23,000 --> 00:24:25,640 Speaker 3: up the cities and particularly his hometown of New York. 446 00:24:25,920 --> 00:24:28,600 Speaker 1: Yeah, that task force idea is great because if you're 447 00:24:28,640 --> 00:24:31,800 Speaker 1: a mugger or a shoplifter, or you're committing these crimes 448 00:24:31,800 --> 00:24:35,040 Speaker 1: in New York or California, even if you got arrested 449 00:24:35,040 --> 00:24:38,120 Speaker 1: and caught, even if you got convicted, Alvin Bragg will 450 00:24:38,160 --> 00:24:41,280 Speaker 1: not put you in jail. But if a FED arrested 451 00:24:41,320 --> 00:24:45,160 Speaker 1: you federally went after the federal system took the case, 452 00:24:45,200 --> 00:24:48,600 Speaker 1: you'd go to jail. So how does that have to work. 453 00:24:48,640 --> 00:24:51,439 Speaker 1: The NYPD would have to agree to be part of 454 00:24:51,440 --> 00:24:52,440 Speaker 1: a federal task force. 455 00:24:53,320 --> 00:24:55,719 Speaker 3: Yeah, they would, And you know there are numerous federal 456 00:24:55,760 --> 00:24:58,960 Speaker 3: task force. It's a fairly common model, and we set 457 00:24:59,000 --> 00:25:01,560 Speaker 3: them up after nine eleven at a much higher rate 458 00:25:01,600 --> 00:25:03,600 Speaker 3: than they every existed in the past. And so you 459 00:25:03,640 --> 00:25:05,640 Speaker 3: went from having I think something like seven or eight 460 00:25:05,680 --> 00:25:09,200 Speaker 3: in the entire country to over one hundred in response 461 00:25:09,240 --> 00:25:11,840 Speaker 3: to nine to eleven. You had these joint Terrorist test forces. Well, 462 00:25:11,880 --> 00:25:15,639 Speaker 3: I was advocated for something that I have, the joint 463 00:25:16,040 --> 00:25:18,919 Speaker 3: JAM Teams. I've been calling them Joint Anti Migro Crime Teams. 464 00:25:18,960 --> 00:25:21,440 Speaker 3: And you do want to kind of sexy title because 465 00:25:21,840 --> 00:25:24,600 Speaker 3: you want the cops to know it's there. So when 466 00:25:24,600 --> 00:25:26,639 Speaker 3: you bump into something like that on the street, you 467 00:25:26,640 --> 00:25:28,640 Speaker 3: can say, Okay, look this guy looks to be illegal, 468 00:25:28,680 --> 00:25:30,560 Speaker 3: and he's got fifteen phones on him. He seems to 469 00:25:30,600 --> 00:25:33,200 Speaker 3: be part of something organized. Refer this to the JAM 470 00:25:33,240 --> 00:25:36,320 Speaker 3: team and so that then goes over to which aesforce 471 00:25:36,400 --> 00:25:38,600 Speaker 3: like we're talking about, and as I said, Donald Trump 472 00:25:38,640 --> 00:25:40,520 Speaker 3: has talked about it, so is Tom Hollman. And then 473 00:25:40,520 --> 00:25:43,399 Speaker 3: the thing that's so advantageous there is that all of 474 00:25:43,400 --> 00:25:46,480 Speaker 3: the intelligence has then synchronized that if you have guys 475 00:25:46,480 --> 00:25:49,800 Speaker 3: getting arrested in Aurora and it's at the federal level, 476 00:25:49,920 --> 00:25:52,440 Speaker 3: all of that stuff is going into common databases where 477 00:25:52,440 --> 00:25:55,240 Speaker 3: you can see, Okay, this guy constantly talks to somebody 478 00:25:55,280 --> 00:25:57,760 Speaker 3: in New York. In fact, he got arrested three times 479 00:25:57,800 --> 00:26:00,800 Speaker 3: last year in Atlanta, etc. Etc. And you can start 480 00:26:00,840 --> 00:26:02,720 Speaker 3: to make those connections. So you can make the big, 481 00:26:02,760 --> 00:26:05,560 Speaker 3: big cases where you take twelve guys, fifteen guys, and 482 00:26:05,600 --> 00:26:07,320 Speaker 3: you take them as part of a big case, a 483 00:26:07,600 --> 00:26:10,680 Speaker 3: conspiracy case or a big narcotics case, and that's why 484 00:26:10,720 --> 00:26:12,320 Speaker 3: you break them down, you get them out. That's what 485 00:26:12,359 --> 00:26:15,520 Speaker 3: we've done in the past relative to narcotics, that's what 486 00:26:15,560 --> 00:26:18,120 Speaker 3: we did with terrorism. I did well over a dozen 487 00:26:18,200 --> 00:26:20,560 Speaker 3: years of that kind of work and it works. Is 488 00:26:20,600 --> 00:26:23,840 Speaker 3: a reason you set that up. And plus it moves 489 00:26:23,920 --> 00:26:26,399 Speaker 3: much more quickly at the federal level to prosecutions to 490 00:26:27,200 --> 00:26:30,000 Speaker 3: and the sentence is a much more draconian, so you 491 00:26:30,040 --> 00:26:32,080 Speaker 3: can flip people. People flip when they hit it going 492 00:26:32,080 --> 00:26:35,520 Speaker 3: to federal prison and never mind looking at a deportation. 493 00:26:35,720 --> 00:26:38,280 Speaker 3: So you know, you start to flip people, you get 494 00:26:38,280 --> 00:26:40,040 Speaker 3: the kind of informants you need, You start to get 495 00:26:40,080 --> 00:26:42,040 Speaker 3: the contours of the gangs that you're up against, and 496 00:26:42,080 --> 00:26:45,080 Speaker 3: that's what you need to make the real, real strong 497 00:26:45,200 --> 00:26:48,440 Speaker 3: cases to end this nonsense. The levers are there, it's 498 00:26:48,480 --> 00:26:50,240 Speaker 3: just that for the last four years, nobody's wanted to 499 00:26:50,320 --> 00:26:50,840 Speaker 3: use them. 500 00:26:50,920 --> 00:26:55,000 Speaker 1: Well, that sounds great. Hey, Speaking of terrorism, we've had 501 00:26:55,040 --> 00:26:58,119 Speaker 1: so many people come across the border and many tens 502 00:26:58,160 --> 00:27:01,600 Speaker 1: of thousands identified as actual errors, and it's been going 503 00:27:01,640 --> 00:27:03,960 Speaker 1: on for a couple of years. I hate to even 504 00:27:04,000 --> 00:27:06,320 Speaker 1: ask this, but when are we going to find out 505 00:27:06,359 --> 00:27:07,240 Speaker 1: what that was all about? 506 00:27:08,080 --> 00:27:10,640 Speaker 3: I know terrible and I can tell you, as I mentioned, 507 00:27:10,720 --> 00:27:12,120 Speaker 3: I did a lot of that kind of work. And 508 00:27:12,160 --> 00:27:14,960 Speaker 3: you know, the idea that you would have people coming 509 00:27:15,000 --> 00:27:18,880 Speaker 3: in who have had no border friction and the government 510 00:27:19,000 --> 00:27:22,159 Speaker 3: is actually complicit in that is absolutely mind boggling if 511 00:27:22,160 --> 00:27:24,919 Speaker 3: you're sitting where I am, Because at the height of 512 00:27:24,960 --> 00:27:28,760 Speaker 3: the sort of anti al Qaeda and Isis enforcement effort 513 00:27:28,800 --> 00:27:31,280 Speaker 3: here in the country, if you got somebody showed up 514 00:27:31,320 --> 00:27:34,199 Speaker 3: on a criminal set, a terrorism set, seemed to have 515 00:27:34,240 --> 00:27:38,040 Speaker 3: those sorts of associations and they had no footprint, if 516 00:27:38,080 --> 00:27:42,000 Speaker 3: they came in with no border friction whatsoever, all kinds 517 00:27:42,000 --> 00:27:45,280 Speaker 3: of alarms went off. That was a surveillance that was 518 00:27:45,359 --> 00:27:47,760 Speaker 3: get round everybody up. We got to look at this guy. 519 00:27:47,760 --> 00:27:49,119 Speaker 3: We got to figure out what we got he had 520 00:27:49,119 --> 00:27:53,000 Speaker 3: did he get in. This looks nefarious, especially given the 521 00:27:53,000 --> 00:27:56,639 Speaker 3: connections he has, et, etc. Well, we just let in 522 00:27:56,720 --> 00:28:00,840 Speaker 3: during the Biden administration twelve million potential people that are 523 00:28:00,840 --> 00:28:03,919 Speaker 3: in that bucket, completely unvetted, no footprint. The idea that 524 00:28:03,920 --> 00:28:08,320 Speaker 3: we vet them is preposterous. Majorcis just just you retire 525 00:28:08,359 --> 00:28:10,960 Speaker 3: and go away someplace, because the idea that he actually 526 00:28:11,000 --> 00:28:13,399 Speaker 3: says that these people are vetted, which he does say 527 00:28:13,760 --> 00:28:17,080 Speaker 3: when you consider that Venezuela doesn't cooperate. Only does Venezuela 528 00:28:17,160 --> 00:28:22,119 Speaker 3: not cooperate with us? Their president is under dea indictment himself. Garagua. 529 00:28:22,520 --> 00:28:25,360 Speaker 3: You know, there's the socialist nation that's hat Altega hatesays 530 00:28:25,359 --> 00:28:28,440 Speaker 3: from God knows when Cuba forget about it. And Haiti 531 00:28:28,560 --> 00:28:30,480 Speaker 3: is run by criminal gangs. And that those are the 532 00:28:30,520 --> 00:28:33,280 Speaker 3: four countries that come in into the special program. That's 533 00:28:33,320 --> 00:28:36,560 Speaker 3: just four. So the idea that they're vetted is preposterous. 534 00:28:37,119 --> 00:28:39,920 Speaker 3: And so that's why you hear about these stories of 535 00:28:40,040 --> 00:28:44,960 Speaker 3: fifteen Afghan nationals, you know, twenty Yemeni's bunch of Iranian 536 00:28:46,120 --> 00:28:48,840 Speaker 3: and they're completely unvetted. We have no idea what they're 537 00:28:48,920 --> 00:28:49,120 Speaker 3: up to. 538 00:28:49,320 --> 00:28:51,880 Speaker 1: Well, Paul more great talking to you hey. He's the 539 00:28:51,920 --> 00:28:56,080 Speaker 1: founder of opsdesk dot org. Opsdesk dot org make sure 540 00:28:56,080 --> 00:29:00,400 Speaker 1: you follow him everywhere and fiamon Fox News. Thanks for 541 00:29:00,400 --> 00:29:04,160 Speaker 1: being with us anytime. Mark, Take care, Take care. It's 542 00:29:04,200 --> 00:29:07,160 Speaker 1: Mark Simon normally here on our big flagship in New York. 543 00:29:08,080 --> 00:29:10,880 Speaker 1: You can listen to me on iHeartRadio or my podcast 544 00:29:10,880 --> 00:29:13,920 Speaker 1: on iHeart. I'll forget Hannity dot com. We'll take some 545 00:29:13,960 --> 00:29:17,280 Speaker 1: calls in a minute. One eight hundred nine one Sean 546 00:29:17,400 --> 00:29:17,920 Speaker 1: is the number.