1 00:00:00,600 --> 00:00:02,080 Speaker 1: You just heard the news. 2 00:00:02,640 --> 00:00:04,800 Speaker 2: Now you'll find out what it all means. 3 00:00:05,559 --> 00:00:15,640 Speaker 3: Hey, smart simone on seven ten. Well, we'll get to 4 00:00:16,000 --> 00:00:19,000 Speaker 3: Donald Trump, Pam Bondy, We'll get to bad Bunny and 5 00:00:19,600 --> 00:00:22,040 Speaker 3: mom Donnie's in Albany asking for money. We'll get to hey, 6 00:00:22,280 --> 00:00:24,680 Speaker 3: developments in Minnesota. We'll get to that. We'll get to 7 00:00:24,720 --> 00:00:29,440 Speaker 3: the Guthrie kidnapping. We'll get to Valentine's Day, and a 8 00:00:29,480 --> 00:00:33,720 Speaker 3: whole lot more coming up. It's thirty six days until spring. 9 00:00:34,600 --> 00:00:37,600 Speaker 3: It's not bad today, it'll be a mid thirties maybe 10 00:00:37,680 --> 00:00:39,880 Speaker 3: upper thirty. Is gonna be in the forties over the weekends, 11 00:00:40,520 --> 00:00:43,159 Speaker 3: forties next week, and then once you get through next week, 12 00:00:43,200 --> 00:00:47,720 Speaker 3: you'll only have like four weeks till spring. So, hey, 13 00:00:47,720 --> 00:00:52,440 Speaker 3: before we start, want to thank Barrett Media. Now in 14 00:00:52,479 --> 00:00:55,880 Speaker 3: the radio business, Barrett Media is like the Bible of 15 00:00:55,920 --> 00:01:01,040 Speaker 3: the industry. It's the official trade magazine of radio, talk, video, music, radio, 16 00:01:01,080 --> 00:01:06,039 Speaker 3: all kinds of radio. It's the v trade magazine Barrett Media. 17 00:01:06,040 --> 00:01:07,800 Speaker 3: It's a website. You can go look at it, and 18 00:01:07,840 --> 00:01:10,920 Speaker 3: you should. It's actually got very interesting stuff if you're 19 00:01:10,920 --> 00:01:14,440 Speaker 3: interested in radio and news and talk, and they got 20 00:01:14,480 --> 00:01:18,280 Speaker 3: all kinds of great stories. Barrettmedia dot Com. Two ours, 21 00:01:18,319 --> 00:01:22,840 Speaker 3: two teas, Barrettmedia dot Com and then every year at 22 00:01:22,840 --> 00:01:25,760 Speaker 3: this time they do. This is like our equivalent of 23 00:01:25,800 --> 00:01:29,120 Speaker 3: the Academy Awards, and the best thing you can win 24 00:01:29,240 --> 00:01:32,600 Speaker 3: is a number one show. There's a number one show 25 00:01:32,600 --> 00:01:35,920 Speaker 3: in America, morning show, number one, afternoon show, number one 26 00:01:35,920 --> 00:01:38,680 Speaker 3: midday show. And it just came out today we won 27 00:01:38,920 --> 00:01:43,680 Speaker 3: as the number one show in America mid days, number 28 00:01:43,760 --> 00:01:46,240 Speaker 3: one in America. This is like winning the Oscar for 29 00:01:46,319 --> 00:01:49,760 Speaker 3: Best Pictures. So it's a great honor for all of 30 00:01:49,840 --> 00:01:52,160 Speaker 3: us here that work on the show, management, everybody in 31 00:01:52,200 --> 00:01:55,520 Speaker 3: the control room, everybody here. Number one. We won last 32 00:01:55,560 --> 00:01:57,640 Speaker 3: year's number one. We're number one again this year. So 33 00:01:58,120 --> 00:02:00,640 Speaker 3: thanks to Barrett Media. But start reading this site every day. 34 00:02:00,680 --> 00:02:02,720 Speaker 3: I think you'll like it. You'll learn a lot of stuff, 35 00:02:03,200 --> 00:02:05,520 Speaker 3: not just about radio, but a lot of stuff about 36 00:02:05,560 --> 00:02:08,919 Speaker 3: news and talk, and they very good at covering cable 37 00:02:08,960 --> 00:02:11,920 Speaker 3: news stuff. But it's like the trade magazine of the 38 00:02:11,960 --> 00:02:17,240 Speaker 3: radio industry. Barrettmedia dot Com. Check it out. It's Jason 39 00:02:17,280 --> 00:02:21,919 Speaker 3: Barrett and Barrettmedia dot Com. It's a great honor and 40 00:02:22,040 --> 00:02:24,280 Speaker 3: we're very happy about it, which means we got to 41 00:02:24,520 --> 00:02:26,560 Speaker 3: now look, we got to make room for another. We 42 00:02:26,639 --> 00:02:28,880 Speaker 3: have it. The last year's framed over there. We got 43 00:02:28,919 --> 00:02:31,440 Speaker 3: to put another one over there. But that's a good 44 00:02:31,440 --> 00:02:36,480 Speaker 3: problem to have. The latest on the Guthrie kidnapping. They 45 00:02:36,520 --> 00:02:39,200 Speaker 3: found the glove, as you know, on the side of 46 00:02:39,240 --> 00:02:41,360 Speaker 3: the road. But here's the part you might not realize. 47 00:02:42,720 --> 00:02:45,840 Speaker 3: You know, it's a huge area, it's a lot of desert. 48 00:02:45,880 --> 00:02:48,320 Speaker 3: It's an enormous area. Why would they pull up there 49 00:02:48,440 --> 00:02:52,040 Speaker 3: and find a glove there? Well, they're not saying much. 50 00:02:52,120 --> 00:02:54,360 Speaker 3: The feds are now running things, not the locals, and 51 00:02:54,400 --> 00:02:58,360 Speaker 3: the Feds keep everything very quiet. They don't talk, they 52 00:02:58,400 --> 00:03:03,040 Speaker 3: don't let on. But apparently they have gone to looking 53 00:03:03,120 --> 00:03:07,360 Speaker 3: at every car that was in the area around that time, 54 00:03:08,080 --> 00:03:10,840 Speaker 3: anywhere near that time that night. You can get the 55 00:03:10,880 --> 00:03:15,960 Speaker 3: GPS off cell phones. Your phone has a GPS in it, 56 00:03:16,720 --> 00:03:19,080 Speaker 3: and whether you want to, whether you use it or not, 57 00:03:19,200 --> 00:03:21,280 Speaker 3: that GPS is always working. Even if you have your 58 00:03:21,280 --> 00:03:24,639 Speaker 3: phone shut off, that GPS is working because as soon 59 00:03:24,639 --> 00:03:26,959 Speaker 3: as you turn it back on, it'll upload the GPS 60 00:03:27,000 --> 00:03:31,240 Speaker 3: information to somewhere. It's a place where only federal authorities 61 00:03:31,240 --> 00:03:35,160 Speaker 3: and really good you know, investigators can get to it. 62 00:03:35,800 --> 00:03:38,880 Speaker 3: But apparently they were tracking cars that were going on 63 00:03:38,920 --> 00:03:42,480 Speaker 3: certain routes, so that's why they happened to see that glove. 64 00:03:42,480 --> 00:03:44,680 Speaker 3: They were following the route of a car that they 65 00:03:44,680 --> 00:03:47,480 Speaker 3: had seen. They'd seen the GPS on that car going 66 00:03:47,560 --> 00:03:50,360 Speaker 3: that route, so they were driving that route, looking going slow, 67 00:03:50,400 --> 00:03:53,080 Speaker 3: looking out the window, and they saw the glove. It 68 00:03:53,120 --> 00:03:58,840 Speaker 3: appears to be the glove that the invader there, the kidnapper, 69 00:03:58,920 --> 00:04:02,880 Speaker 3: was wearing in that video. We've all seen. It's a big, puffy, 70 00:04:03,600 --> 00:04:06,760 Speaker 3: very winter ski glove kind of thing, so not something 71 00:04:06,800 --> 00:04:10,760 Speaker 3: anybody in Tucson would ever own or wear. Very unusual, 72 00:04:10,840 --> 00:04:13,600 Speaker 3: even that big puffy coat. Tucson doesn't get that cold. 73 00:04:14,360 --> 00:04:18,279 Speaker 3: So they've found the glove, and because it's such a warm, 74 00:04:18,400 --> 00:04:21,719 Speaker 3: warm glove in such a hot climate, it's assumed that 75 00:04:21,760 --> 00:04:24,640 Speaker 3: the person must have sweated a lot wearing all that stuff, 76 00:04:25,279 --> 00:04:28,400 Speaker 3: and that sweat left a lot of DNA inside the glove. 77 00:04:28,440 --> 00:04:32,200 Speaker 3: It's possible there could be a fingerprint, although highly unlikely, 78 00:04:33,640 --> 00:04:36,560 Speaker 3: but they're looking at the glove looking for DNA. All 79 00:04:36,560 --> 00:04:40,320 Speaker 3: that sweat inside the glove could create some DNA. The 80 00:04:40,320 --> 00:04:42,320 Speaker 3: other thing they're looking at is the outside of the glove, 81 00:04:43,000 --> 00:04:46,159 Speaker 3: looking for any traces of blood because as We know 82 00:04:46,800 --> 00:04:48,960 Speaker 3: Nancy Guthrie was bleeding as they took her out, and 83 00:04:49,000 --> 00:04:52,680 Speaker 3: it's possible the glove touched the touch the face or 84 00:04:52,680 --> 00:04:54,760 Speaker 3: wherever she was bleeding and got some blood on it, 85 00:04:54,800 --> 00:04:57,760 Speaker 3: so you'd have two sets of DNA on that glove. 86 00:04:57,839 --> 00:05:02,960 Speaker 3: So that's what they're looking at. Been somehow TMZ got 87 00:05:02,960 --> 00:05:06,560 Speaker 3: themselves a little too involved in this. If you have 88 00:05:06,640 --> 00:05:09,880 Speaker 3: anything to report, call the FBI. That's the best way 89 00:05:09,880 --> 00:05:11,080 Speaker 3: to do it. But a lot of people have been 90 00:05:11,080 --> 00:05:13,880 Speaker 3: going to TMZ, which they're very nice. Harvey Levin's a 91 00:05:13,880 --> 00:05:17,440 Speaker 3: great guy and TMZ's a lot of fun to read. 92 00:05:17,520 --> 00:05:20,719 Speaker 3: But it's like, I don't mean this in a bad way, 93 00:05:20,720 --> 00:05:24,080 Speaker 3: but it's today's version of the National Inquirer, and they 94 00:05:24,160 --> 00:05:26,680 Speaker 3: print all kinds of stuff. They got all kinds of sources, 95 00:05:27,000 --> 00:05:28,839 Speaker 3: and a lot of times the stuff is true, but 96 00:05:28,920 --> 00:05:32,040 Speaker 3: sometimes it's not so true. I like the National Inquirer, 97 00:05:32,080 --> 00:05:34,240 Speaker 3: which broke a lot of big stories, but a lot 98 00:05:34,240 --> 00:05:37,400 Speaker 3: of stuff they broke didn't turn out to be exactly true. 99 00:05:37,440 --> 00:05:40,000 Speaker 3: So you got the same problem with TMZ. People are 100 00:05:40,040 --> 00:05:42,359 Speaker 3: going there. FBI is getting tips. 101 00:05:42,640 --> 00:05:42,800 Speaker 2: Now. 102 00:05:42,800 --> 00:05:46,640 Speaker 3: The tips are very important because somebody might recognize something 103 00:05:46,680 --> 00:05:49,400 Speaker 3: on that video. The way the guy's eyes looked, or 104 00:05:49,440 --> 00:05:54,640 Speaker 3: something about his shape. But they've gotten eighteen thousand tips. Now, 105 00:05:54,640 --> 00:05:57,520 Speaker 3: it takes incredible manpower because you got to run down 106 00:05:57,560 --> 00:06:01,120 Speaker 3: each one of them eighteen and tips have come in. 107 00:06:01,440 --> 00:06:05,000 Speaker 3: That's why they arrested that delivery guy the other day. Now, 108 00:06:05,000 --> 00:06:08,799 Speaker 3: if you look at that guy, his shape, his body, 109 00:06:08,880 --> 00:06:11,120 Speaker 3: his shoulders, the shape of his arms, his legs, he 110 00:06:11,200 --> 00:06:14,560 Speaker 3: looks exactly like the guy in the video, and his 111 00:06:14,680 --> 00:06:17,080 Speaker 3: eyes look like this guy's video. He has a mustache 112 00:06:17,160 --> 00:06:19,960 Speaker 3: just like the guy. The outline of him is exactly 113 00:06:19,960 --> 00:06:22,320 Speaker 3: the same as the guy in the video. They've determined 114 00:06:22,360 --> 00:06:24,800 Speaker 3: it's not him. I assume he could prove where he 115 00:06:24,960 --> 00:06:27,560 Speaker 3: was and it was nowhere near there that night. But 116 00:06:27,680 --> 00:06:30,520 Speaker 3: he was a delivery guy. And again they were checking 117 00:06:30,800 --> 00:06:35,000 Speaker 3: the GPS's of phones tracing the cars, and apparently his 118 00:06:35,120 --> 00:06:37,839 Speaker 3: delivery route that night took him somewhere near that house. 119 00:06:37,880 --> 00:06:40,680 Speaker 3: That's why they pulled this guy over. And once they 120 00:06:40,680 --> 00:06:42,360 Speaker 3: saw they were following me, I pulled over. They didn't 121 00:06:42,360 --> 00:06:43,159 Speaker 3: even have to put. 122 00:06:43,000 --> 00:06:44,520 Speaker 4: A traffic s operating and day I got off the 123 00:06:44,560 --> 00:06:46,480 Speaker 4: car and they arrested me as soon as I got 124 00:06:46,520 --> 00:06:46,920 Speaker 4: off the car. 125 00:06:47,120 --> 00:06:48,919 Speaker 3: Yeah, he looked like the guy in the It's not 126 00:06:48,960 --> 00:06:50,560 Speaker 3: the guy in the video they've determined, but he looked 127 00:06:50,600 --> 00:06:52,680 Speaker 3: like it. And then the detective guy here was the 128 00:06:52,839 --> 00:06:56,000 Speaker 3: FBI agent in the Santa Cruz County and they told 129 00:06:56,040 --> 00:06:58,840 Speaker 3: me I was being detained for kidnapping. And I asked him, 130 00:06:58,839 --> 00:07:01,880 Speaker 3: I will kidnapping of who and told me just eighty. 131 00:07:01,680 --> 00:07:06,160 Speaker 1: I don't know her name and Nancy Guthrie, Yeah. 132 00:07:05,520 --> 00:07:07,680 Speaker 5: Sir, I told him I worked it two or something 133 00:07:07,720 --> 00:07:08,320 Speaker 5: for Glas. 134 00:07:08,600 --> 00:07:10,120 Speaker 3: I might have to deliver a backage your house, but 135 00:07:10,160 --> 00:07:11,480 Speaker 3: I cannot pay anybody. 136 00:07:11,680 --> 00:07:14,440 Speaker 1: They hold me from him from like four to right now. 137 00:07:15,400 --> 00:07:17,640 Speaker 3: Yeah, but they were able to determine he's not the guy, 138 00:07:17,720 --> 00:07:21,720 Speaker 3: so we'll see what happens. I think something's gonna break. 139 00:07:21,720 --> 00:07:24,640 Speaker 3: They're getting eighteen thousand tips. Takes time to run him down, 140 00:07:25,520 --> 00:07:31,440 Speaker 3: but but something could happen. Also, you know this demanding 141 00:07:31,480 --> 00:07:35,400 Speaker 3: bitcoin we've saw the two days ago they made a 142 00:07:35,400 --> 00:07:38,880 Speaker 3: three hundred dollars deposit into that bitcoin account and yesterday 143 00:07:38,920 --> 00:07:42,320 Speaker 3: one hundred dollars deposit. Now what's that all about. Well, 144 00:07:42,720 --> 00:07:46,280 Speaker 3: you may not realize this, but bitcoin can be traced 145 00:07:46,840 --> 00:07:49,720 Speaker 3: if you're using crypto to hide from the authorities, if 146 00:07:49,720 --> 00:07:54,240 Speaker 3: you're a drug dealer, hedge fund guy, paying off people that, 147 00:07:54,520 --> 00:07:58,880 Speaker 3: you know, whoever uses crypto for nefarious purposes. It can 148 00:07:59,160 --> 00:08:01,440 Speaker 3: be traced. I hate to break it to you. So 149 00:08:01,480 --> 00:08:04,680 Speaker 3: the way you trace it, they'll send a little amount 150 00:08:04,720 --> 00:08:07,000 Speaker 3: in there, like three hundred bucks or yesterday these one 151 00:08:07,040 --> 00:08:10,160 Speaker 3: hundred dollars, and once you send it to a bitcoin address, 152 00:08:10,240 --> 00:08:13,400 Speaker 3: it goes through the chain. It goes through the blockchain, 153 00:08:13,880 --> 00:08:16,280 Speaker 3: and it leaves footprints all over the place. You can 154 00:08:17,160 --> 00:08:20,520 Speaker 3: you can't do it, but the most sophisticated federal investigators 155 00:08:21,360 --> 00:08:24,560 Speaker 3: can trace it through the blockchain and see exactly where 156 00:08:24,560 --> 00:08:28,040 Speaker 3: it lands. So it is traceable. It's been done before. 157 00:08:29,160 --> 00:08:32,360 Speaker 3: So they are tracing the bitcoin as we speak. So 158 00:08:32,440 --> 00:08:36,040 Speaker 3: we'll see what develops. Hey, Hey, Tom Holman has announced 159 00:08:36,080 --> 00:08:40,240 Speaker 3: ICE is leaving Minnesota. It's over. They say they've arrested 160 00:08:40,320 --> 00:08:43,960 Speaker 3: about five six thousand dangerous criminals and they're getting the 161 00:08:43,960 --> 00:08:46,360 Speaker 3: hell out of there. You know, they ought to just 162 00:08:46,360 --> 00:08:50,720 Speaker 3: to thank Minnesota for their horrifying, awful reception. They ought 163 00:08:50,720 --> 00:08:53,000 Speaker 3: to take the six thousand criminals and just dump them 164 00:08:53,040 --> 00:08:55,160 Speaker 3: right in the middle of Minneapolis. Here's your criminals back, 165 00:08:55,400 --> 00:08:58,760 Speaker 3: here's your dangerous criminals. You want them back? Here they are, no, 166 00:08:58,840 --> 00:09:00,920 Speaker 3: but they're not going to do that. But it's the 167 00:09:01,000 --> 00:09:04,640 Speaker 3: end of ICE in Minnesota. They're leaving. They are, of course, 168 00:09:04,720 --> 00:09:07,720 Speaker 3: operating in many other cities on a much bigger scale 169 00:09:08,240 --> 00:09:13,720 Speaker 3: with no problem at all because local authorities cooperate. We 170 00:09:13,760 --> 00:09:16,439 Speaker 3: had Bruce Blakeman on the show the other day, who 171 00:09:16,440 --> 00:09:19,760 Speaker 3: should be the governor in November. He'd be the perfect governor. 172 00:09:19,760 --> 00:09:22,600 Speaker 3: But I said, you know, they're all over NASA. Kenna said, 173 00:09:22,600 --> 00:09:24,440 Speaker 3: how come we have no problems? He said, we cooperate. 174 00:09:24,480 --> 00:09:28,400 Speaker 3: We have full cooperation. We coordinate with them, We lend 175 00:09:28,440 --> 00:09:31,480 Speaker 3: them local help, police detectives, we even lend them jail cells. 176 00:09:31,480 --> 00:09:34,600 Speaker 3: We cooperate, and it's very They do pick up dangerous criminals. 177 00:09:34,640 --> 00:09:37,680 Speaker 3: If we cooperate and coordinate with them, it's orderly, it's very, 178 00:09:37,800 --> 00:09:40,760 Speaker 3: very peaceful. Now that's Bruce Plakeman, who would be a 179 00:09:40,760 --> 00:09:44,840 Speaker 3: great governor. But you got that kookie new Jersey governor, 180 00:09:44,880 --> 00:09:47,800 Speaker 3: the new one, Mikey Cheryl, who sounds like she's a 181 00:09:47,920 --> 00:09:51,080 Speaker 3: fourteen years old, but she's not going to cooperate with ICE. 182 00:09:51,160 --> 00:09:55,120 Speaker 6: I'm signing an executive order to ban ICE from launching 183 00:09:55,240 --> 00:10:00,480 Speaker 6: actions from any state property. That means no ice stage as, 184 00:10:00,960 --> 00:10:07,280 Speaker 6: no processing locations, no operating basis, no federal civil immigration 185 00:10:07,440 --> 00:10:12,240 Speaker 6: actions run from any state grounds, not our parks, not 186 00:10:12,360 --> 00:10:14,440 Speaker 6: our roadways, not our buildings. 187 00:10:14,520 --> 00:10:15,200 Speaker 2: Here you go. 188 00:10:17,080 --> 00:10:20,360 Speaker 3: Perfect. You want to come in here and arrest dangerous criminals, 189 00:10:20,400 --> 00:10:22,199 Speaker 3: you are not coming in here. We're not going to 190 00:10:22,320 --> 00:10:26,520 Speaker 3: let you do that here. Hey, the bad Bunny stuff continues. 191 00:10:26,600 --> 00:10:29,720 Speaker 3: I'm actually enjoying this bad Bunny stuff because I listen. 192 00:10:29,720 --> 00:10:31,520 Speaker 3: The halftime show was pretty good. I don't know what 193 00:10:31,559 --> 00:10:34,360 Speaker 3: Delly was singing about. Who could tell what he was singing? Hey, 194 00:10:34,360 --> 00:10:36,480 Speaker 3: But half the music today I can't understand what they're 195 00:10:36,480 --> 00:10:40,560 Speaker 3: saying either. But and it looked good. It was colorful, 196 00:10:40,640 --> 00:10:44,720 Speaker 3: moving dancing of the sets. The scenery was very well done, 197 00:10:44,880 --> 00:10:49,920 Speaker 3: very well done. It was great. But I mean, it 198 00:10:49,960 --> 00:10:52,840 Speaker 3: wouldn't have been my first choice Bad Bunny, but it 199 00:10:52,920 --> 00:10:56,520 Speaker 3: was worth it. Just all these lefties, all these liberals, 200 00:10:56,559 --> 00:11:00,160 Speaker 3: all these Democrats now have to run around pretending that 201 00:11:00,160 --> 00:11:03,079 Speaker 3: they're bad Bunny fans. They never heard of the guy 202 00:11:03,080 --> 00:11:06,080 Speaker 3: two weeks ago, but they're all running around trying to 203 00:11:06,080 --> 00:11:08,520 Speaker 3: convince you they're bad Bunny fans. Oh, I love bad Bunny. 204 00:11:08,600 --> 00:11:11,319 Speaker 3: I love Bad Bunny. You do Oh, I love Bad Bunny. 205 00:11:11,520 --> 00:11:16,240 Speaker 3: Name one song by him, You're racist? They just go crazy. 206 00:11:16,280 --> 00:11:17,680 Speaker 3: Even Jimmy Kimmel admits it. 207 00:11:17,760 --> 00:11:21,160 Speaker 1: This week, almost every liberal I know suddenly really. 208 00:11:20,920 --> 00:11:21,760 Speaker 3: Into Bad Bunny. 209 00:11:21,920 --> 00:11:24,959 Speaker 2: I mean people I've never heard say the words bad 210 00:11:25,200 --> 00:11:28,080 Speaker 2: or Bunny in their lives, like I can't wait for 211 00:11:28,160 --> 00:11:31,600 Speaker 2: Bad Bunny. Oh, what's your. 212 00:11:33,960 --> 00:11:35,560 Speaker 1: What's your favorite Bad Bunny song? 213 00:11:35,920 --> 00:11:38,239 Speaker 3: I don't know, but I love them. I love that. 214 00:11:39,320 --> 00:11:41,600 Speaker 3: It's true. They never heard of this guy three weeks ago. 215 00:11:41,679 --> 00:11:44,080 Speaker 3: When was the last time you heard anybody, any Democrat, 216 00:11:44,120 --> 00:11:46,920 Speaker 3: any liberal friend of yours say, Hey, we're going to 217 00:11:46,960 --> 00:11:49,520 Speaker 3: the Bad Bunny concert. Though we're gonna see Bad Bunny 218 00:11:49,520 --> 00:11:53,440 Speaker 3: in two weeks. They've never heard of this guy ever, ever, ever, 219 00:11:54,040 --> 00:11:58,720 Speaker 3: So uh, Mom, Donnie went to Albany to ask for 220 00:11:58,760 --> 00:12:03,679 Speaker 3: more taxes. It's already the highest tax place in America. 221 00:12:03,880 --> 00:12:06,880 Speaker 3: Taxes are already out of control. He's asking for more taxes. 222 00:12:06,960 --> 00:12:09,800 Speaker 3: Nobody can figure out why. When asked, he gave some 223 00:12:09,960 --> 00:12:14,520 Speaker 3: ridiculous explanation about, well, we're already the most expensive place 224 00:12:14,520 --> 00:12:18,320 Speaker 3: and might as well. They can't figure out how to 225 00:12:18,400 --> 00:12:20,680 Speaker 3: run things. You know, we have the most out of 226 00:12:20,760 --> 00:12:23,440 Speaker 3: controlled budget in New York City and New York State. 227 00:12:23,520 --> 00:12:26,560 Speaker 3: You know, the New York State budget is double the 228 00:12:26,600 --> 00:12:31,480 Speaker 3: budget of Florida. Double. Florida is a bigger state, it 229 00:12:31,480 --> 00:12:34,800 Speaker 3: has more major cities. Our budget is double. Florida has 230 00:12:34,800 --> 00:12:37,720 Speaker 3: a bigger population. Our budget is twice the budget of Florida. 231 00:12:38,240 --> 00:12:40,960 Speaker 3: New York Studies budget is like one hundred and twenty billion. 232 00:12:41,040 --> 00:12:44,960 Speaker 3: It should be forty billion. It's all wiste fraud, bloat. 233 00:12:44,960 --> 00:12:47,679 Speaker 3: You could easily cut it now, he implied yesterday, he's 234 00:12:47,720 --> 00:12:51,200 Speaker 3: done some cutting. We had a twelve billion dollar deficit 235 00:12:51,280 --> 00:12:51,719 Speaker 3: coming up. 236 00:12:51,840 --> 00:12:54,880 Speaker 2: We've lowered that twelve billion dollar gap to seven billion 237 00:12:54,920 --> 00:12:57,320 Speaker 2: dollars over two fiscal years. 238 00:12:57,559 --> 00:13:00,600 Speaker 3: So that's a three billion dollar cut every year. But again, 239 00:13:01,280 --> 00:13:04,160 Speaker 3: you could cut half the budget out without affecting anything. 240 00:13:04,320 --> 00:13:07,760 Speaker 3: Just stop the waist, the fraud, the bloat. It'd be 241 00:13:07,880 --> 00:13:09,880 Speaker 3: very easy. Not for a guy like mom Donnie. I mean, 242 00:13:10,480 --> 00:13:13,280 Speaker 3: in his defense, he's thirty two years old, he never 243 00:13:13,360 --> 00:13:16,120 Speaker 3: had a job before, he's never worked, he's never run anything. 244 00:13:16,480 --> 00:13:19,720 Speaker 3: But if you've brought in a top ceo, you brought 245 00:13:20,400 --> 00:13:22,480 Speaker 3: the other thing. You know, in New York City you 246 00:13:22,600 --> 00:13:26,400 Speaker 3: probably have the two hundred greatest CEOs in America. They're 247 00:13:26,440 --> 00:13:28,080 Speaker 3: all happy to help. You know, if you call a 248 00:13:28,080 --> 00:13:29,880 Speaker 3: guy like Jamie Diamond, if you're in New York City, 249 00:13:29,960 --> 00:13:31,960 Speaker 3: we need your help. Could you come down to city. 250 00:13:32,360 --> 00:13:34,320 Speaker 3: Guys like that would come right down and help you, 251 00:13:36,040 --> 00:13:37,360 Speaker 3: be happy to help you. If you said, you know, 252 00:13:37,400 --> 00:13:39,640 Speaker 3: our budget's got all kinds of waist and fraud and bloat. 253 00:13:39,679 --> 00:13:41,880 Speaker 3: Could you take a look at it, one of these 254 00:13:41,920 --> 00:13:44,120 Speaker 3: CEOs would send in a team the next day of 255 00:13:44,280 --> 00:13:46,960 Speaker 3: twenty top guys in the world to go through your 256 00:13:47,000 --> 00:13:49,640 Speaker 3: budget and get rid of the waist the fraud. It'd 257 00:13:49,679 --> 00:13:54,240 Speaker 3: be easy to do, but they're politicians. They're not going 258 00:13:54,280 --> 00:13:56,720 Speaker 3: to They don't want any help. They kind of like 259 00:13:56,800 --> 00:13:59,080 Speaker 3: that wasst and fraud and bloat. You know, guys like 260 00:13:59,120 --> 00:14:02,200 Speaker 3: Schumer and Mom Donnie, all these politicians, and there are 261 00:14:02,240 --> 00:14:05,680 Speaker 3: Republicans too, they can be just as bad. The the waste, 262 00:14:05,760 --> 00:14:08,840 Speaker 3: fraud and bloat comes out comes from giving out contracts 263 00:14:08,840 --> 00:14:11,640 Speaker 3: everywhere and kind of winking and nodding. You know you're 264 00:14:11,640 --> 00:14:15,240 Speaker 3: gonna overcharge us by three thousand percent. Go ahead, when 265 00:14:15,280 --> 00:14:17,760 Speaker 3: you're fixing the road or whatever, you want to take 266 00:14:17,800 --> 00:14:21,080 Speaker 3: five years longer. Go ahead, you want to put three 267 00:14:21,120 --> 00:14:22,800 Speaker 3: times as many peopil as you need to go ahead. 268 00:14:23,400 --> 00:14:26,440 Speaker 3: A lot of winking and nodding. Contracts are handed out, 269 00:14:26,480 --> 00:14:30,600 Speaker 3: and in exchange, the politicians get massive donations when they 270 00:14:31,080 --> 00:14:33,720 Speaker 3: want to run for something or when they got those 271 00:14:33,760 --> 00:14:37,280 Speaker 3: political packs. So that's always the deal. We'll get to 272 00:14:37,320 --> 00:14:41,120 Speaker 3: Pam BONDI coming up. That was pretty good. Uh and 273 00:14:41,360 --> 00:14:45,360 Speaker 3: lots more just ahead, and uh oh, Jimmy Fayala will 274 00:14:45,400 --> 00:14:48,240 Speaker 3: be with us a little later. We'll get to the economy. 275 00:14:48,320 --> 00:14:51,800 Speaker 3: Just ahead. We'll take some calls. Next. Eight hundred three 276 00:14:51,960 --> 00:14:55,320 Speaker 3: two one zero seven ten is the number. Eight hundred 277 00:14:55,800 --> 00:14:59,600 Speaker 3: three two one zero seven ten. Now back to Mark. 278 00:14:59,640 --> 00:15:05,120 Speaker 3: Some are on w o R. Well, let's take some calls. 279 00:15:05,200 --> 00:15:11,800 Speaker 3: Let's go to Rudy. Could this be Rudy Julian Rudy 280 00:15:11,800 --> 00:15:14,920 Speaker 3: from Wempy. I don't think that's Rudy from Long Island. Rudy, 281 00:15:14,960 --> 00:15:15,520 Speaker 3: how you doing? 282 00:15:16,600 --> 00:15:17,440 Speaker 2: Yeah, I'm good. 283 00:15:17,440 --> 00:15:18,040 Speaker 5: I'm very good. 284 00:15:19,520 --> 00:15:21,440 Speaker 3: But do you wonder it sounds like you're inside a sofa? 285 00:15:22,200 --> 00:15:26,480 Speaker 3: You sound very muffled. Yeah, all right, I'll sound muffled too. 286 00:15:26,600 --> 00:15:26,920 Speaker 3: How's that? 287 00:15:28,920 --> 00:15:32,800 Speaker 5: I'm spanning my life and Long Island and Long Island, 288 00:15:33,240 --> 00:15:34,120 Speaker 5: Long Island. 289 00:15:33,840 --> 00:15:34,240 Speaker 2: New York. 290 00:15:34,480 --> 00:15:39,600 Speaker 3: Where do you live in Long Island Brainwood. 291 00:15:40,320 --> 00:15:42,840 Speaker 5: Yeah, I used to be a Democrat all my life. 292 00:15:42,840 --> 00:15:45,560 Speaker 5: When I've come in here to be yours from Dominican Republic, 293 00:15:45,920 --> 00:15:48,720 Speaker 5: I used to be Democrat, but I find out they 294 00:15:48,720 --> 00:15:52,640 Speaker 5: don't have no nothing, nothing for the community or the people. 295 00:15:52,640 --> 00:15:53,720 Speaker 4: If they just w. 296 00:15:55,520 --> 00:15:57,760 Speaker 3: That's not fair. They have crime, they bring you crime, 297 00:15:58,400 --> 00:16:00,440 Speaker 3: they bring your eye taxes they have to for you. 298 00:16:02,080 --> 00:16:05,880 Speaker 5: Yeah, so that was my say. You know, I changed 299 00:16:05,880 --> 00:16:09,080 Speaker 5: to Independent because I don't I don't like the way 300 00:16:09,160 --> 00:16:09,680 Speaker 5: they moved. 301 00:16:09,800 --> 00:16:13,000 Speaker 3: Yeah, now whatever, Rudy, what about your family, your friends, 302 00:16:13,000 --> 00:16:15,440 Speaker 3: they find the same thing. They're switching away from Democrats. 303 00:16:16,400 --> 00:16:20,200 Speaker 5: Yeah, yeah, I sweech to Independent because I don't see 304 00:16:20,680 --> 00:16:23,560 Speaker 5: they weren't even different than what I'm thinking. You know, 305 00:16:23,600 --> 00:16:26,400 Speaker 5: when I used to coming here, everything was good with 306 00:16:26,440 --> 00:16:28,040 Speaker 5: the Democrat, but now they only. 307 00:16:27,920 --> 00:16:31,680 Speaker 3: Changed to that good point. Good call, Rudy, thanks for calling. 308 00:16:31,760 --> 00:16:34,640 Speaker 3: Yet now I see there there were Bill Clinton Democrats, 309 00:16:34,640 --> 00:16:38,120 Speaker 3: common sense and good Democrats, and they don't know what 310 00:16:38,160 --> 00:16:41,040 Speaker 3: to do now because their party went way, way, way way, 311 00:16:41,160 --> 00:16:44,000 Speaker 3: not just to the left, but like to the Psycho Awards. 312 00:16:44,000 --> 00:16:47,440 Speaker 3: So let's go to Stuart in South Carolina. Stuart, how you. 313 00:16:47,400 --> 00:16:49,360 Speaker 1: Doing, Hey, Mark, how you doing? 314 00:16:49,400 --> 00:16:50,080 Speaker 3: Stuart Million? 315 00:16:50,160 --> 00:16:50,360 Speaker 2: Years. 316 00:16:50,480 --> 00:16:52,520 Speaker 3: You've been in law enforcement forever. You ever ever have 317 00:16:52,560 --> 00:16:53,239 Speaker 3: a kidnapping? 318 00:16:54,320 --> 00:16:56,400 Speaker 1: No, it's very very rare. You know, I've done this 319 00:16:56,440 --> 00:16:58,680 Speaker 1: sum with fifty years, and that's what I want to 320 00:16:58,680 --> 00:17:01,600 Speaker 1: talk about. You know, every day the human body sheds 321 00:17:01,640 --> 00:17:04,879 Speaker 1: about five hundred million to a billion skin cells up 322 00:17:04,880 --> 00:17:10,480 Speaker 1: to five billion, and every crime scene there is always evidence, always, 323 00:17:11,160 --> 00:17:13,479 Speaker 1: and you just have to find it. And I cannot 324 00:17:13,520 --> 00:17:16,000 Speaker 1: believe this guy who wrapped himself up would be dumb 325 00:17:16,080 --> 00:17:19,240 Speaker 1: enough to throw a glove out, you know, close to 326 00:17:19,280 --> 00:17:20,080 Speaker 1: the crime scene. 327 00:17:20,320 --> 00:17:22,199 Speaker 3: That just was well it wasn't that close. It was 328 00:17:22,200 --> 00:17:24,359 Speaker 3: a ways away. And you know he was probably sweating 329 00:17:24,359 --> 00:17:26,760 Speaker 3: to death in that suit in the hot Tucson weather 330 00:17:26,920 --> 00:17:27,800 Speaker 3: might out. 331 00:17:28,840 --> 00:17:31,320 Speaker 1: I mean, I understand that. But it's we had a 332 00:17:31,400 --> 00:17:34,560 Speaker 1: murder here. In fact, my friend of mine was killed. 333 00:17:34,720 --> 00:17:36,639 Speaker 1: We believe her husband did it. He was wrapped up 334 00:17:36,680 --> 00:17:39,520 Speaker 1: the same way. They never solved that case. I mean, 335 00:17:39,520 --> 00:17:42,120 Speaker 1: we know who killed her, but they didn't have the evidence. 336 00:17:42,560 --> 00:17:46,040 Speaker 1: So but you know, the FBI forensics is very very good. 337 00:17:46,359 --> 00:17:48,880 Speaker 1: I have a friend that's uh, in fact, she's she's 338 00:17:49,119 --> 00:17:52,239 Speaker 1: probably going to the FBI. She's a forensic scientist and 339 00:17:52,320 --> 00:17:56,040 Speaker 1: she just got a binguprint off a potato, which was 340 00:17:56,119 --> 00:18:01,080 Speaker 1: absolutely amazing. But yeah, you know, and you know what 341 00:18:01,119 --> 00:18:04,359 Speaker 1: my what my feelings are about this woman right now, 342 00:18:04,920 --> 00:18:06,560 Speaker 1: And you know, I hate to say that, but it's 343 00:18:06,600 --> 00:18:09,760 Speaker 1: been a good while. And as far as the bitcoin, 344 00:18:09,840 --> 00:18:13,320 Speaker 1: that makes no sense whatsoever. Like everything you said is correct. 345 00:18:13,720 --> 00:18:16,960 Speaker 1: You can trace that and FBI has has measures to 346 00:18:17,480 --> 00:18:20,119 Speaker 1: trace anything. It just say, a lot of this just 347 00:18:20,160 --> 00:18:22,720 Speaker 1: seemed stupid to me. It doesn't make any sense. 348 00:18:22,720 --> 00:18:24,600 Speaker 3: Hey. Well, you've been in law enforcement, you said, many years. 349 00:18:25,119 --> 00:18:27,040 Speaker 3: Have you seen many of the criminals you deal with 350 00:18:27,080 --> 00:18:29,160 Speaker 3: are incredibly stupid at being criminals? 351 00:18:29,240 --> 00:18:32,280 Speaker 1: Oh? Absolutely, they rob a bank, Mark, and they have 352 00:18:32,400 --> 00:18:34,760 Speaker 1: tail lights out, or they're speeding, or they run a 353 00:18:34,760 --> 00:18:36,359 Speaker 1: red light. They may as well put up a sign 354 00:18:36,440 --> 00:18:38,920 Speaker 1: saying I just robbed the bank, Please arrest me. They 355 00:18:38,960 --> 00:18:41,320 Speaker 1: are the dumbest people I've ever seen in my life. 356 00:18:41,520 --> 00:18:44,400 Speaker 3: Just so stupid. All right, Stuart, great call, thanks for calling. 357 00:18:44,480 --> 00:18:46,280 Speaker 3: Let's go to Rich in Myrtle Beach. 358 00:18:46,400 --> 00:18:49,280 Speaker 2: Rich How you doing, Hey, thanks, Mark, you're sitting around 359 00:18:49,320 --> 00:18:52,359 Speaker 2: watching women's curling in the Olympics, one of my favorite sports. 360 00:18:52,600 --> 00:18:55,080 Speaker 3: Well you're listen, where are you? You're in the Myrtle beach. 361 00:18:55,080 --> 00:18:57,280 Speaker 3: What else, Yeah, I get it. Nothing else to do there? 362 00:18:57,720 --> 00:19:00,040 Speaker 2: What else are you going to do? You know? He 363 00:19:00,080 --> 00:19:02,760 Speaker 2: still Tom Holman this morning and he was great. He says, 364 00:19:02,800 --> 00:19:04,560 Speaker 2: you know, we're pulling out, but the Ice office is 365 00:19:04,600 --> 00:19:07,280 Speaker 2: still going to be there, The fraud investigation is still 366 00:19:07,320 --> 00:19:09,720 Speaker 2: going to be there. We find illegal was still going 367 00:19:09,800 --> 00:19:11,639 Speaker 2: to take them. And I guess you heard about the 368 00:19:11,720 --> 00:19:15,440 Speaker 2: winning quarterback on this Seahawks has to pay seventy eight 369 00:19:15,480 --> 00:19:18,440 Speaker 2: thousand dollars for playing seven days in California. Why would 370 00:19:18,440 --> 00:19:20,480 Speaker 2: the NFL ever play super Bowl in California? 371 00:19:20,520 --> 00:19:23,200 Speaker 3: Well, but apparently there's like nine cities now, major cities 372 00:19:23,240 --> 00:19:25,400 Speaker 3: that have that stupid tax. They tax you to death. 373 00:19:25,560 --> 00:19:29,919 Speaker 3: Ye tax jock tax. So he made like what it 374 00:19:29,960 --> 00:19:32,200 Speaker 3: makes like one hundred and seventy thousand, but the taxes 375 00:19:32,200 --> 00:19:34,080 Speaker 3: like two hundred and ninety thousand. He actually loses it. 376 00:19:34,119 --> 00:19:37,080 Speaker 3: Yeah right, Well, only Democrats could come up with a 377 00:19:37,119 --> 00:19:39,639 Speaker 3: tax system where you pay one hundred and eighty percent 378 00:19:39,680 --> 00:19:45,000 Speaker 3: of the money for taxes. It's absolutely ridiculous. One more call, 379 00:19:45,080 --> 00:19:46,760 Speaker 3: Let's go to Pat in Scarsdale. 380 00:19:46,800 --> 00:19:49,800 Speaker 4: Pat, how you doing, Hey, Mark, how are you good? 381 00:19:50,600 --> 00:19:54,120 Speaker 4: You know rama Manuel when he was Barack Obama's right 382 00:19:54,160 --> 00:19:56,440 Speaker 4: hand man. He orders you to say, a crisis is 383 00:19:56,480 --> 00:20:00,040 Speaker 4: a terrible thing to waste. Yeah, and now Walls, he 384 00:20:00,119 --> 00:20:02,480 Speaker 4: ran out of one crisis. Now Holman's going to be 385 00:20:02,600 --> 00:20:04,560 Speaker 4: leaving there. So now he's going to be faced up 386 00:20:04,600 --> 00:20:07,160 Speaker 4: to the fraud crisis there and he's gonna I really 387 00:20:07,200 --> 00:20:09,639 Speaker 4: think he's gonna be in a hot seat along with 388 00:20:09,680 --> 00:20:11,080 Speaker 4: a lot of the other politicians. 389 00:20:11,320 --> 00:20:13,359 Speaker 3: Very good, Well, thanks for it. We like Scarsdale a 390 00:20:13,400 --> 00:20:15,960 Speaker 3: lot of great restaurants there. You got Martinez Bakery, which 391 00:20:16,040 --> 00:20:16,720 Speaker 3: is very good. 392 00:20:16,880 --> 00:20:17,520 Speaker 4: Oh the best. 393 00:20:17,640 --> 00:20:20,159 Speaker 3: That's the best. I take every ounce of strength to 394 00:20:21,160 --> 00:20:25,800 Speaker 3: keep walking by there. All right, thanks for calling. Yeah, Hey, Minnesota, 395 00:20:26,359 --> 00:20:28,320 Speaker 3: I know you're cheering. You got rid of Tom Holman. 396 00:20:28,359 --> 00:20:31,600 Speaker 3: He said, Ice is leaving. I know you're celebrating. I 397 00:20:31,640 --> 00:20:33,800 Speaker 3: hate to break it to you. If the ICE operations 398 00:20:33,800 --> 00:20:37,800 Speaker 3: are now over, that means that concentrate full time now 399 00:20:37,840 --> 00:20:41,120 Speaker 3: on the fraud investigation, looking into the fraud. There may 400 00:20:41,160 --> 00:20:43,199 Speaker 3: be a reason why Tim Waltz announced he's not going 401 00:20:43,280 --> 00:20:46,880 Speaker 3: to run for reelection and that he's leaving politics. But remember, 402 00:20:47,160 --> 00:20:49,679 Speaker 3: you got rid of Ice. Now it's one hundred percent 403 00:20:50,000 --> 00:20:54,480 Speaker 3: fraud investigation in Minnesota. Hey, when we come back the 404 00:20:54,560 --> 00:20:57,120 Speaker 3: hunt for Steve Moore. Actually, no, he's been pretty good. 405 00:20:57,160 --> 00:20:59,680 Speaker 3: He's been here. Steve Moore is one of the most 406 00:20:59,720 --> 00:21:02,720 Speaker 3: brill guys in the world, great economists, and he'll be 407 00:21:02,800 --> 00:21:06,720 Speaker 3: with us next on seven to ten. Wo aren't they. 408 00:21:07,040 --> 00:21:08,480 Speaker 4: Dogged into everything? 409 00:21:08,640 --> 00:21:09,240 Speaker 1: New York? 410 00:21:09,480 --> 00:21:11,160 Speaker 6: Mark Simone on sevent ten. 411 00:21:11,440 --> 00:21:14,879 Speaker 3: Woor Well, I like to bring you the smartest people 412 00:21:14,880 --> 00:21:17,880 Speaker 3: on earth, Steve Moore, the brilliant economist. Mate. Make sure 413 00:21:17,920 --> 00:21:21,560 Speaker 3: you have his book, his latest book, The Trump Economic Miracle. 414 00:21:21,600 --> 00:21:24,200 Speaker 3: It's an excellent book. And he runs the committee to 415 00:21:24,280 --> 00:21:28,680 Speaker 3: Unleashed Prosperity. They put out the best daily news and analysis, 416 00:21:28,680 --> 00:21:30,920 Speaker 3: best briefing it can get every day. It's free. It'll 417 00:21:30,960 --> 00:21:33,520 Speaker 3: come right to your email. Just go sign up for it. 418 00:21:33,600 --> 00:21:37,639 Speaker 3: Go to Unleashed Prosperity dot com. Steve Moore, how you 419 00:21:37,720 --> 00:21:39,320 Speaker 3: doing well? 420 00:21:39,400 --> 00:21:42,239 Speaker 2: Feeling good about things? Given the what happened with the 421 00:21:42,600 --> 00:21:46,960 Speaker 2: job support yesterday, Really good numbers on the economy. Economy 422 00:21:46,960 --> 00:21:51,199 Speaker 2: continues to expand, businesses are hiring again. And what I 423 00:21:51,240 --> 00:21:53,679 Speaker 2: love about the story, Mark, is that you know what 424 00:21:53,760 --> 00:21:55,520 Speaker 2: sector of the economy is shrinking? 425 00:21:57,400 --> 00:21:57,920 Speaker 3: Government? 426 00:21:58,440 --> 00:22:04,960 Speaker 2: Government? Oh goodment? Yeah, so private jobs are booming and 427 00:22:05,040 --> 00:22:09,080 Speaker 2: the and the and the government jobs are shrinking, so 428 00:22:09,119 --> 00:22:13,080 Speaker 2: we're draining the swamp in Washington. Federal employment continues to fall, 429 00:22:13,240 --> 00:22:17,280 Speaker 2: thank god, but the private sector numbers for hiring were 430 00:22:17,320 --> 00:22:20,360 Speaker 2: really good. So and by the way, wages were up 431 00:22:20,760 --> 00:22:24,360 Speaker 2: and the unemployment was down. 432 00:22:24,760 --> 00:22:26,919 Speaker 3: Oh, I don't know. I got the MSNBC on here. 433 00:22:26,960 --> 00:22:31,000 Speaker 3: It says we're in a big affordability crisis at Yeah. 434 00:22:31,560 --> 00:22:35,240 Speaker 2: Do you know that the last year, the average median 435 00:22:35,320 --> 00:22:37,960 Speaker 2: family income people in the exact metal they saw about 436 00:22:37,960 --> 00:22:43,679 Speaker 2: a twenty five hundred dollars increase in their above inflation incomes. 437 00:22:43,840 --> 00:22:46,520 Speaker 2: So what I mean, Look, I get it. People are 438 00:22:46,520 --> 00:22:49,120 Speaker 2: angry about the price of beef, and they're angry about 439 00:22:49,480 --> 00:22:51,680 Speaker 2: you know, the price of coffee, and they're angry about 440 00:22:51,760 --> 00:22:54,679 Speaker 2: you know, price of healthcare and housing. But if you 441 00:22:54,720 --> 00:22:58,280 Speaker 2: look overall, people have more money in their paychecks. And 442 00:22:58,320 --> 00:23:00,560 Speaker 2: by the way, that's partly because the big full bill, 443 00:23:01,160 --> 00:23:04,040 Speaker 2: as you know, I mean, people are starting to really 444 00:23:04,040 --> 00:23:08,760 Speaker 2: feel it now because they're withholding is starting an earnest 445 00:23:08,800 --> 00:23:11,080 Speaker 2: and so that means you're going to have less money 446 00:23:11,080 --> 00:23:14,480 Speaker 2: with help from your paycheck by the irs, which means 447 00:23:14,520 --> 00:23:15,920 Speaker 2: more money in your paycheck. 448 00:23:16,359 --> 00:23:18,560 Speaker 3: Yeah. Hey, now would you confirm Steve More that in 449 00:23:18,600 --> 00:23:20,840 Speaker 3: the Biden years, during the Biden administration, when they head 450 00:23:20,880 --> 00:23:23,400 Speaker 3: oh a good job number, it was because the government 451 00:23:23,440 --> 00:23:25,040 Speaker 3: would go out and hire people exactly. 452 00:23:25,440 --> 00:23:28,800 Speaker 2: Yes, And so I used to, you know, as you know, mark, 453 00:23:29,400 --> 00:23:34,080 Speaker 2: every first Friday of every month for the last ten years, 454 00:23:34,080 --> 00:23:38,080 Speaker 2: I've been doing this. You know, the jobs report comes 455 00:23:38,080 --> 00:23:39,560 Speaker 2: out on the first bride of the arounth although it 456 00:23:39,560 --> 00:23:41,720 Speaker 2: didn't this time. It came out on Wednesday because of 457 00:23:41,720 --> 00:23:43,800 Speaker 2: the government shutdown and they've been delayed. 458 00:23:43,720 --> 00:23:44,880 Speaker 3: Late in getting the data out. 459 00:23:44,920 --> 00:23:49,280 Speaker 2: But nonetheless, the during the Biden years, you know, we 460 00:23:49,400 --> 00:23:52,920 Speaker 2: get these jobs numbers, one hundred and fifty thousand jobs created, yay, hooray. 461 00:23:53,000 --> 00:23:54,320 Speaker 2: And then you look at the numbers and it's like 462 00:23:54,320 --> 00:23:57,960 Speaker 2: one hundred thousand more government shops. So we were increasing 463 00:23:57,960 --> 00:24:00,720 Speaker 2: government jobs and we were not seeing much grain gain 464 00:24:00,800 --> 00:24:03,160 Speaker 2: at all on five efector. And what we've done, we've 465 00:24:03,160 --> 00:24:05,919 Speaker 2: seen now is a rest where we're now shrinking the 466 00:24:05,960 --> 00:24:09,200 Speaker 2: government jobs and increasing fivate sector jobs, which is exactly 467 00:24:09,240 --> 00:24:11,480 Speaker 2: what we want unless you're a government employee. 468 00:24:11,560 --> 00:24:14,080 Speaker 3: Yeah, and it's a much healthier way to run the economy. 469 00:24:14,280 --> 00:24:14,480 Speaker 2: Yes. 470 00:24:15,359 --> 00:24:19,080 Speaker 3: Hey, the CEO of Ford yesterday puts out all these 471 00:24:19,160 --> 00:24:23,520 Speaker 3: numbers electric car. Electric vehicle sales were so bad it 472 00:24:23,560 --> 00:24:26,280 Speaker 3: brought down the whole bottom line of the company. And 473 00:24:26,359 --> 00:24:31,439 Speaker 3: he said, the customer has spoken. So what do we 474 00:24:31,480 --> 00:24:32,240 Speaker 3: conclude from that. 475 00:24:33,320 --> 00:24:36,080 Speaker 2: Well, that's an interesting thing because you know one of 476 00:24:36,119 --> 00:24:39,040 Speaker 2: the reasons that you know, basically under the Biden years, 477 00:24:39,040 --> 00:24:42,040 Speaker 2: they were trying to force feed people to buy to 478 00:24:42,160 --> 00:24:45,400 Speaker 2: buy electric vehicles with mandates saying you had to buy them, 479 00:24:45,440 --> 00:24:47,680 Speaker 2: and then all the subsidies to build them, et cetera, 480 00:24:47,720 --> 00:24:50,120 Speaker 2: et cetera, et cetera, and a lot of the big 481 00:24:50,200 --> 00:24:52,720 Speaker 2: auto manufacturers they brought into it, Oh yeah, let's build 482 00:24:52,720 --> 00:24:56,520 Speaker 2: all these these electric vehicles. And by the way, I'm 483 00:24:56,520 --> 00:24:59,640 Speaker 2: not against electric vehicles. I was just against by enforcing 484 00:24:59,680 --> 00:25:03,000 Speaker 2: people buy electric vehicles. And so what's happened now is 485 00:25:03,080 --> 00:25:07,199 Speaker 2: there's been you know, people have kind of revolted against that, 486 00:25:07,800 --> 00:25:11,040 Speaker 2: and for many reasons, people say, you know, we don't 487 00:25:11,040 --> 00:25:13,040 Speaker 2: want electricical By the way, I have a hybrid and 488 00:25:13,080 --> 00:25:16,280 Speaker 2: I love it, so you know, I'm not against the batteries, 489 00:25:16,320 --> 00:25:18,040 Speaker 2: but I but I also want to Yeah, I want 490 00:25:18,040 --> 00:25:20,399 Speaker 2: to make sure I don't run out of you know, 491 00:25:20,560 --> 00:25:24,000 Speaker 2: get a mountain and then don't have any juice left 492 00:25:24,040 --> 00:25:26,880 Speaker 2: in my in my battery. So the point is that 493 00:25:26,960 --> 00:25:29,880 Speaker 2: I always have said this that you know, people when 494 00:25:29,880 --> 00:25:32,160 Speaker 2: it comes to their cars, people want to choose themselves. 495 00:25:32,200 --> 00:25:34,080 Speaker 2: They don't want the government to choose the car for 496 00:25:34,200 --> 00:25:35,880 Speaker 2: them because we have a love affair with our cars 497 00:25:35,920 --> 00:25:38,560 Speaker 2: in America. And Trump, i mean Biden didn't seem to 498 00:25:38,600 --> 00:25:41,119 Speaker 2: understand that. And the more he tried to force people 499 00:25:41,119 --> 00:25:44,000 Speaker 2: to buy electric vehicles, the more people have revolted against 500 00:25:44,000 --> 00:25:46,480 Speaker 2: buying them. And so now you've got this huge surf 501 00:25:46,560 --> 00:25:48,879 Speaker 2: plus of electric vehicles that nobody wants to buy. 502 00:25:49,240 --> 00:25:51,240 Speaker 3: Yeah, you know, we just had a weekend here where 503 00:25:51,240 --> 00:25:53,480 Speaker 3: it was like ten below zero. Your electric car doesn't 504 00:25:53,480 --> 00:25:54,000 Speaker 3: work when. 505 00:25:53,840 --> 00:25:57,840 Speaker 2: It's the exactly that's exactly right. So this is a 506 00:25:57,880 --> 00:26:01,240 Speaker 2: problem with evs is that they they're not going to 507 00:26:01,240 --> 00:26:04,959 Speaker 2: start when the temperature gets, you know, below ten degrees. 508 00:26:05,000 --> 00:26:07,200 Speaker 2: And by the way, in Washington, d C. A southern city, 509 00:26:07,520 --> 00:26:09,840 Speaker 2: we you know, the temperature for the last twenty days 510 00:26:09,840 --> 00:26:13,119 Speaker 2: has been below ten degrees. So you know, then you 511 00:26:13,119 --> 00:26:14,440 Speaker 2: can't get out of your driveway. 512 00:26:14,800 --> 00:26:17,840 Speaker 3: Yeah. Hey, we're talking earlier about the budgets. You know, 513 00:26:17,880 --> 00:26:19,919 Speaker 3: the budget in New York is ridiculous. It's like one 514 00:26:20,000 --> 00:26:22,879 Speaker 3: hundred and twenty billion. New York State's budget is double 515 00:26:22,960 --> 00:26:25,800 Speaker 3: that of Florida, even though we have less people. This 516 00:26:25,960 --> 00:26:29,040 Speaker 3: is all from contracts they hand out where we overpay 517 00:26:29,119 --> 00:26:31,640 Speaker 3: by ten million percent for everything we do in the government. 518 00:26:32,359 --> 00:26:35,000 Speaker 3: Politicians like handing out those contracts. Is there anything we 519 00:26:35,040 --> 00:26:36,160 Speaker 3: could ever do to fix this? 520 00:26:38,840 --> 00:26:42,520 Speaker 2: Well, what's going on the big story of America is 521 00:26:42,560 --> 00:26:45,119 Speaker 2: that these blue cities and blue states are just dying. 522 00:26:45,440 --> 00:26:48,119 Speaker 2: They're dying. And you know it's because I was in 523 00:26:48,119 --> 00:26:51,159 Speaker 2: New York earlier this week and talking a lot of 524 00:26:51,160 --> 00:26:55,679 Speaker 2: people in New York City, and they were frustrated because Mundonnie, 525 00:26:56,160 --> 00:26:59,200 Speaker 2: you know, hadn't even cleared away the snow, the garbage 526 00:26:59,240 --> 00:27:02,160 Speaker 2: wasn't being collected it. And I don't care what your ideology. 527 00:27:02,200 --> 00:27:05,679 Speaker 2: I don't care if you're left right, center, whatever you are, libertarian, socialist. 528 00:27:06,080 --> 00:27:10,600 Speaker 2: Everybody wants the public services to work. And yet Mandamie 529 00:27:10,720 --> 00:27:13,080 Speaker 2: has proven in just this first one thirty five days 530 00:27:13,080 --> 00:27:15,840 Speaker 2: in office he has no idea what he's doing. You 531 00:27:15,880 --> 00:27:19,880 Speaker 2: think it's it's not even ideology, it's incompetence. 532 00:27:20,640 --> 00:27:23,120 Speaker 3: Yeah, it's unbelievable. Hey, we told you this before, too, 533 00:27:23,160 --> 00:27:26,800 Speaker 3: you know, they have this jock tax if you play football, 534 00:27:26,840 --> 00:27:29,400 Speaker 3: even if it's the super Bowl. Yeah, the guy made 535 00:27:29,440 --> 00:27:31,680 Speaker 3: one hundred and seventy thousand for playing the super Bowl 536 00:27:31,720 --> 00:27:33,840 Speaker 3: and his taxes were like two hundred and eighty thousand. 537 00:27:34,119 --> 00:27:34,560 Speaker 5: How is that? 538 00:27:34,960 --> 00:27:36,120 Speaker 3: How is that even legal? 539 00:27:36,320 --> 00:27:39,360 Speaker 2: The taxi more than a well, you know, and that 540 00:27:39,400 --> 00:27:41,560 Speaker 2: these are the jock taxes. You have to pay an 541 00:27:41,560 --> 00:27:45,040 Speaker 2: income tax if you play you know, a game in 542 00:27:45,040 --> 00:27:49,280 Speaker 2: a in a state that has eye income tax and so, uh, 543 00:27:50,000 --> 00:27:53,000 Speaker 2: the you're right. So now they're saying, well, we're gonna move. 544 00:27:53,080 --> 00:27:55,800 Speaker 2: We're not going to play the world the super Bowl 545 00:27:56,280 --> 00:27:58,879 Speaker 2: in these places with high tax anymore because the players 546 00:27:58,880 --> 00:28:00,440 Speaker 2: can't afford it. And by the way, a lot of 547 00:28:00,480 --> 00:28:03,000 Speaker 2: the players don't want to even play on teams you 548 00:28:03,040 --> 00:28:06,639 Speaker 2: know that are located in blue station cities like you know, 549 00:28:06,760 --> 00:28:09,640 Speaker 2: so that's a big tax on getting a winning team 550 00:28:09,720 --> 00:28:10,480 Speaker 2: back in New York. 551 00:28:10,880 --> 00:28:12,480 Speaker 3: Yeah, hey, but you're right. You know, we pay the 552 00:28:12,560 --> 00:28:14,439 Speaker 3: highest taxes in the world in New York City and 553 00:28:14,440 --> 00:28:17,120 Speaker 3: they can't even shovel snow, but shouldn't there. 554 00:28:17,000 --> 00:28:21,640 Speaker 2: Be a and they can't collect the garbage. I saw 555 00:28:21,720 --> 00:28:24,240 Speaker 2: that that everybody, I think you've probably seen it. It 556 00:28:24,320 --> 00:28:26,840 Speaker 2: went viral on the Internet of the rabbi out there 557 00:28:26,880 --> 00:28:33,399 Speaker 2: helping thee put the garbage in the truck because too, 558 00:28:34,000 --> 00:28:36,000 Speaker 2: I mean, you know, he's supposed to be this brilliant, 559 00:28:36,200 --> 00:28:39,000 Speaker 2: big thinker. He can't even get the garverage collected off 560 00:28:39,040 --> 00:28:41,040 Speaker 2: the street. I mean, I laugh at that, but it 561 00:28:41,160 --> 00:28:44,720 Speaker 2: just shows, you know, I would think Mondommie would say, look, 562 00:28:44,840 --> 00:28:47,080 Speaker 2: let me go around the city and you give these 563 00:28:47,120 --> 00:28:50,280 Speaker 2: speeches and about how great socialism, but put somebody in 564 00:28:50,320 --> 00:28:52,760 Speaker 2: charge who knows what they're doing and how to run something. 565 00:28:53,040 --> 00:28:55,560 Speaker 3: Yeah. Hey, in the next month or two, everybody will 566 00:28:55,560 --> 00:28:58,000 Speaker 3: start paying their taxes, doing their taxes for the year. 567 00:28:58,320 --> 00:28:59,880 Speaker 3: What's going to be the difference now with the big 568 00:29:00,000 --> 00:29:00,600 Speaker 3: beautiful bill. 569 00:29:02,240 --> 00:29:04,480 Speaker 2: Uh, well, people are gonna save a lot in terms 570 00:29:04,480 --> 00:29:08,080 Speaker 2: of the the withhold. They're going to pay a smaller 571 00:29:09,040 --> 00:29:11,840 Speaker 2: tax bill than they did last year. And I don't 572 00:29:11,840 --> 00:29:14,120 Speaker 2: know the exact numbers, but on average it's about one 573 00:29:14,120 --> 00:29:17,680 Speaker 2: thousand dollars saving. And it was just so ironic because 574 00:29:17,680 --> 00:29:21,400 Speaker 2: all the Democrats talk about is affordability, affordability, yet every 575 00:29:21,400 --> 00:29:23,600 Speaker 2: one of them voted against the tax cut. 576 00:29:25,240 --> 00:29:27,840 Speaker 3: And inflation. We're doing well, and what do you think 577 00:29:28,520 --> 00:29:31,120 Speaker 3: give us a growth forecast, a growth number for the 578 00:29:31,120 --> 00:29:31,440 Speaker 3: rest of the. 579 00:29:31,480 --> 00:29:32,920 Speaker 2: Oh, I'm going to give you the number that Donald 580 00:29:32,960 --> 00:29:35,120 Speaker 2: Trump gave. We're going to grow by fifteen percent this year. 581 00:29:37,560 --> 00:29:39,840 Speaker 2: By the way. I love that about Trump, don't you. Mark? 582 00:29:39,920 --> 00:29:41,760 Speaker 2: And I know you're close to Trump, and I talked 583 00:29:41,800 --> 00:29:44,120 Speaker 2: him about but uh, you know, he shoots for the move. 584 00:29:44,200 --> 00:29:46,680 Speaker 2: He told Larry Cutlow, you know we're gonna g fifteen 585 00:29:46,680 --> 00:29:48,680 Speaker 2: percent growth, because Larry said, do you think we can 586 00:29:48,720 --> 00:29:51,400 Speaker 2: get five percent growth? And he said fifteen percent? Well, 587 00:29:51,800 --> 00:29:54,200 Speaker 2: which would be like but but you know what, he 588 00:29:54,280 --> 00:29:55,920 Speaker 2: also said the same thing when you know when the 589 00:29:55,920 --> 00:29:58,440 Speaker 2: Dow Jones hit fifty thousand a couple of days ago, 590 00:29:58,520 --> 00:30:00,200 Speaker 2: by the way, when I first came to Washington forty 591 00:30:00,280 --> 00:30:01,840 Speaker 2: years ago, but that was at one thousand. Now it's 592 00:30:01,840 --> 00:30:02,680 Speaker 2: at fifty thousand. 593 00:30:02,760 --> 00:30:03,040 Speaker 3: Wow. 594 00:30:03,040 --> 00:30:07,240 Speaker 2: But the Trump said, you know, by the time I 595 00:30:07,360 --> 00:30:09,440 Speaker 2: leave office, and we don't know when that's going to be. 596 00:30:10,800 --> 00:30:12,840 Speaker 2: The time I leave office, we're gonna have now one 597 00:30:12,880 --> 00:30:13,600 Speaker 2: hundred thousand. 598 00:30:14,080 --> 00:30:14,960 Speaker 3: So I love it. 599 00:30:15,000 --> 00:30:17,000 Speaker 2: I love his optimism. I love that he shoots for 600 00:30:17,040 --> 00:30:17,320 Speaker 2: the moon. 601 00:30:17,480 --> 00:30:20,440 Speaker 3: Yeah. It's a great, great philosophy, great way to live too, well, 602 00:30:20,480 --> 00:30:23,600 Speaker 3: Steve Moore, great stuff and thanks for He's got an 603 00:30:23,600 --> 00:30:26,600 Speaker 3: excellent book called the Trump Economic Miracle. You should get 604 00:30:26,600 --> 00:30:26,920 Speaker 3: the book. 605 00:30:26,960 --> 00:30:28,800 Speaker 2: It is a miracle. It is America. 606 00:30:29,800 --> 00:30:33,080 Speaker 3: And thanks for the Committee to Unleash Prosperity. The daily 607 00:30:33,120 --> 00:30:35,400 Speaker 3: briefing you put out is the best in them you 608 00:30:35,440 --> 00:30:38,240 Speaker 3: can get and it's free, free, comes right to your email. 609 00:30:38,360 --> 00:30:41,880 Speaker 3: Just go to Unleashed Prosperity dot com. I didn't get 610 00:30:41,880 --> 00:30:43,400 Speaker 3: mine yet today. You got to put it a little 611 00:30:43,400 --> 00:30:44,280 Speaker 3: earlier in the morning. 612 00:30:45,040 --> 00:30:46,880 Speaker 2: It didn't get you know what, that's been the problem 613 00:30:46,880 --> 00:30:49,320 Speaker 2: we've been running. It's because we can't haven't removed the 614 00:30:49,320 --> 00:30:50,480 Speaker 2: snow yet in Washington show. 615 00:30:50,520 --> 00:30:52,360 Speaker 3: Okay, but when you read it you'll see why it 616 00:30:52,400 --> 00:30:56,600 Speaker 3: takes a while. It's so well done to Unleashed Prosperity 617 00:30:56,640 --> 00:30:59,360 Speaker 3: dot com and sign up. Steve Moore, thanks for being 618 00:30:59,400 --> 00:31:00,160 Speaker 3: with us. 619 00:31:00,560 --> 00:31:01,880 Speaker 2: Thanks about every great weekend. 620 00:31:02,000 --> 00:31:04,200 Speaker 3: Take care, take care. Yeah, it really is the best 621 00:31:04,280 --> 00:31:08,920 Speaker 3: daily briefing you can get news analysis. You'll sound extremely 622 00:31:09,000 --> 00:31:11,200 Speaker 3: smart and so well and from just going to Unleash 623 00:31:11,280 --> 00:31:15,880 Speaker 3: Prosperity dot com. Hey, coming up at noon, Buck and Clay. 624 00:31:17,280 --> 00:31:19,400 Speaker 3: You know that's a big show. Now. They won they 625 00:31:19,440 --> 00:31:22,520 Speaker 3: won the Barrett Media Award. Barrett Media it's like the 626 00:31:22,560 --> 00:31:26,560 Speaker 3: Oscars of Radio. They just won for Best National Show, 627 00:31:27,160 --> 00:31:31,480 Speaker 3: Syndicated Show. We just won for best midday Show. It's 628 00:31:31,760 --> 00:31:34,440 Speaker 3: a great show. It's every day noon to three. Right 629 00:31:34,440 --> 00:31:37,880 Speaker 3: here on seven to ten WOR He's got the whole 630 00:31:37,920 --> 00:31:43,520 Speaker 3: city in your radio. Mark Simon on seven ten, Hey, 631 00:31:44,560 --> 00:31:47,240 Speaker 3: coming up, next hour we go. Jimmy Fayla will be 632 00:31:47,280 --> 00:31:49,040 Speaker 3: with us. We've got a lot to talk to him about. 633 00:31:49,040 --> 00:31:52,080 Speaker 3: We'll get to Valentine's Day. We'll get to the biggest 634 00:31:52,080 --> 00:31:55,040 Speaker 3: new trend. Well, we'll get to that right after the news. 635 00:31:55,080 --> 00:31:57,680 Speaker 3: Mark Simone here on seven to ten wo