1 00:00:00,800 --> 00:00:07,760 Speaker 1: Yeah, this is the Mark Simon Show on sevent Tenor. 2 00:00:11,920 --> 00:00:13,600 Speaker 2: Well, we got a lot to get to today. We'll 3 00:00:13,600 --> 00:00:15,880 Speaker 2: get to the latest don the guth three situation. We'll 4 00:00:15,880 --> 00:00:19,360 Speaker 2: get to President Trump, We'll get to the police commissioner 5 00:00:19,360 --> 00:00:21,640 Speaker 2: making some changes. We'll get to the super Bowl, We'll 6 00:00:21,640 --> 00:00:24,159 Speaker 2: get to bad Bunny and a whole lot more. You 7 00:00:24,239 --> 00:00:27,960 Speaker 2: got forty degrees today, it'll be forty today. This will 8 00:00:28,000 --> 00:00:30,600 Speaker 2: really start melting the snow. You'll really start to get 9 00:00:30,680 --> 00:00:32,520 Speaker 2: rid of it today, and then it's going to stay 10 00:00:32,800 --> 00:00:35,479 Speaker 2: upper thirties and then maybe forty over the weekend. So 11 00:00:35,600 --> 00:00:39,400 Speaker 2: by Sunday Monday, all the snow should be gone once 12 00:00:39,440 --> 00:00:42,360 Speaker 2: and for all. Hey, you are only thirty seven days 13 00:00:42,440 --> 00:00:47,280 Speaker 2: till spring. That's five weeks, five weeks until spring begins. 14 00:00:47,760 --> 00:00:52,120 Speaker 2: Spring training today, teams doing their first work at today, 15 00:00:52,200 --> 00:00:56,440 Speaker 2: so we're getting there almost through the winter. Jobs numbers 16 00:00:56,440 --> 00:01:00,760 Speaker 2: came out this morning, very very very good, expecting about 17 00:01:00,800 --> 00:01:04,240 Speaker 2: sixty thousand new jobs. Who've got one hundred and thirty 18 00:01:04,360 --> 00:01:09,680 Speaker 2: thousand new jobs, Very very good numbers for the economy. 19 00:01:09,920 --> 00:01:13,800 Speaker 2: Wages are up, inflation is down, the Big Beautiful Bill 20 00:01:13,920 --> 00:01:19,240 Speaker 2: starting to kick in economy, improving, Dow way over fifty thousand. 21 00:01:19,920 --> 00:01:23,400 Speaker 2: Average wages is for workers up a couple thousand this year, 22 00:01:23,959 --> 00:01:28,360 Speaker 2: and for the first time in a few years, wages 23 00:01:28,400 --> 00:01:31,800 Speaker 2: are going up much much faster than inflation, So that's 24 00:01:31,840 --> 00:01:36,600 Speaker 2: good news. The Guthrie kidnapping, well, I'm sure you've seen 25 00:01:36,640 --> 00:01:42,560 Speaker 2: the doorbell camera. The few things that are obvious. They're 26 00:01:42,760 --> 00:01:48,840 Speaker 2: not the most elaborate professional kidnapping. This one slow bumbling 27 00:01:48,920 --> 00:01:52,320 Speaker 2: sort of guy who gets there and looks surprised to 28 00:01:52,360 --> 00:01:56,880 Speaker 2: see that doorbell camera there and looks at it, and 29 00:01:57,160 --> 00:01:59,200 Speaker 2: the fact that he was surprised by it is now 30 00:01:59,240 --> 00:02:02,360 Speaker 2: telling him that may be maybe there wasn't a lot 31 00:02:02,360 --> 00:02:06,160 Speaker 2: of casing the place first, or surveillance first, or knowing 32 00:02:06,200 --> 00:02:09,520 Speaker 2: the place really well before they got there. Now the 33 00:02:09,639 --> 00:02:13,880 Speaker 2: guy is bundled up like crazy. He has covered head 34 00:02:13,880 --> 00:02:16,400 Speaker 2: to toe in You remember, this is Tucson, Arizona, where 35 00:02:16,400 --> 00:02:19,160 Speaker 2: it's very warm. Why would anybody have what looks like, 36 00:02:19,440 --> 00:02:21,360 Speaker 2: you know, he's going skiing or something. It looks like 37 00:02:21,360 --> 00:02:25,240 Speaker 2: he's an Antarctica bundled up in this puffy, you know, 38 00:02:25,919 --> 00:02:31,160 Speaker 2: winter type outfit, obviously trying not to leave any DNA 39 00:02:31,240 --> 00:02:34,959 Speaker 2: on the scenes. Big puffy gloves over his hands, face 40 00:02:35,040 --> 00:02:38,160 Speaker 2: covered except for the mouth and the eyes. But all 41 00:02:38,200 --> 00:02:42,760 Speaker 2: of that covering up means, besides hiding his identity, trying 42 00:02:42,800 --> 00:02:45,560 Speaker 2: not to leave any DNA in the house. But here's 43 00:02:45,600 --> 00:02:48,880 Speaker 2: the thing. It's Tucson, Arizona, where it's very warm, and 44 00:02:48,919 --> 00:02:51,440 Speaker 2: if you're bundled up in heavy, heavy clothes like that, 45 00:02:51,760 --> 00:02:55,760 Speaker 2: you're gonna sweat, and you're probably gonna sweat a lot. 46 00:02:55,880 --> 00:02:58,799 Speaker 2: So investigators are back in the house right now as 47 00:02:58,840 --> 00:03:02,679 Speaker 2: we speak, looking for sweat, looking for they want to 48 00:03:02,680 --> 00:03:05,120 Speaker 2: get DNA off. This person covered himself up so he 49 00:03:05,120 --> 00:03:07,880 Speaker 2: wouldn't leave any DNA, but if he dropped one beat 50 00:03:07,919 --> 00:03:10,080 Speaker 2: of sweat anywhere, that's got the DNA in it. So 51 00:03:10,120 --> 00:03:13,280 Speaker 2: they're looking for that right now as we speak. They 52 00:03:13,280 --> 00:03:17,679 Speaker 2: did detain somebody last night. Now apparently they're looking carefully 53 00:03:18,120 --> 00:03:20,440 Speaker 2: at anybody that was in the house, workers of any 54 00:03:20,520 --> 00:03:23,359 Speaker 2: kind that were doing work in the house. So there 55 00:03:23,440 --> 00:03:25,520 Speaker 2: was one they stopped last night. They've let him go. 56 00:03:25,560 --> 00:03:29,800 Speaker 2: Apparently he's totally innocent. They do say off the record, 57 00:03:29,800 --> 00:03:34,000 Speaker 2: they got a couple persons of interest they're still looking at. Now. 58 00:03:34,480 --> 00:03:36,680 Speaker 2: What took so long to get that footage, the doorbell 59 00:03:36,760 --> 00:03:39,000 Speaker 2: camera footage. You should have seen that the first dit 60 00:03:39,040 --> 00:03:43,600 Speaker 2: well she has is it nesters it an Amazon camera, 61 00:03:43,760 --> 00:03:48,560 Speaker 2: whatever it is. You gotta have a subscription to have 62 00:03:48,840 --> 00:03:53,440 Speaker 2: the footage stored. You can see it live, but if 63 00:03:53,480 --> 00:03:55,839 Speaker 2: you want it stored and saved, you have to pay 64 00:03:55,880 --> 00:03:58,640 Speaker 2: for the subscription, which is something like one hundred dollars 65 00:03:58,680 --> 00:04:01,800 Speaker 2: a year. She didn't subscribe, didn't have the subscription. So, 66 00:04:02,000 --> 00:04:05,520 Speaker 2: as we kept hearing, none of the surveillance video was saved. 67 00:04:05,680 --> 00:04:09,000 Speaker 2: None of it. However, this is not the local authorities now, 68 00:04:09,000 --> 00:04:12,240 Speaker 2: this is the FEDS. This is the FBI, federal government. 69 00:04:12,280 --> 00:04:15,040 Speaker 2: President Trump has sent all of the resources he can send. 70 00:04:15,680 --> 00:04:20,839 Speaker 2: These guys are highly sophisticated. So even though with it 71 00:04:20,920 --> 00:04:24,039 Speaker 2: Google or whoever I think was Google the company, but 72 00:04:24,080 --> 00:04:26,520 Speaker 2: they didn't save the footage. But these guys were able 73 00:04:27,240 --> 00:04:31,520 Speaker 2: to go into servers and find the footage even though 74 00:04:31,520 --> 00:04:34,520 Speaker 2: it's deleted off of Google. It goes somewhere into some 75 00:04:34,720 --> 00:04:40,040 Speaker 2: server and it takes very very sophisticated work to find it, 76 00:04:40,120 --> 00:04:43,000 Speaker 2: but they found it. That's how they got it. Now 77 00:04:44,279 --> 00:04:47,440 Speaker 2: there are some people might get a little shake of 78 00:04:47,480 --> 00:04:50,039 Speaker 2: surprise that because they got that doorbell camera and they're 79 00:04:50,040 --> 00:04:54,160 Speaker 2: carefully deleting their footage for whatever reason now they find 80 00:04:54,200 --> 00:04:57,480 Speaker 2: out it could be recovered by law enforcement if they 81 00:04:57,480 --> 00:05:00,080 Speaker 2: absolutely had to. So it took a while to get it, 82 00:05:00,120 --> 00:05:03,440 Speaker 2: and what to get deleted footage. You got to go 83 00:05:03,480 --> 00:05:08,080 Speaker 2: through every possible back end server, look through everything. Probably 84 00:05:08,080 --> 00:05:10,280 Speaker 2: had to look through millions of hours to find this. 85 00:05:10,440 --> 00:05:14,600 Speaker 2: It was not easy. Took incredible manpower to do it. Again, 86 00:05:14,680 --> 00:05:18,760 Speaker 2: that's something the locals couldn't have done. So off the record, 87 00:05:20,920 --> 00:05:23,359 Speaker 2: these the Feds are saying they got a couple of 88 00:05:23,360 --> 00:05:25,719 Speaker 2: persons of interest. There's a couple of people they're looking at. 89 00:05:26,400 --> 00:05:29,080 Speaker 2: They said, things are different in this kidnapping from a 90 00:05:29,120 --> 00:05:32,360 Speaker 2: normal case. Normally a ransom note letter would be sent 91 00:05:32,400 --> 00:05:34,919 Speaker 2: to the family. In this case, they're being sent to 92 00:05:34,960 --> 00:05:39,400 Speaker 2: the local TV station. Savannah Guthrie course, works for the 93 00:05:39,520 --> 00:05:42,400 Speaker 2: NBC network here in New York. So why weren't the 94 00:05:42,480 --> 00:05:45,680 Speaker 2: ransom notes sent to NBC if you decided to send 95 00:05:45,680 --> 00:05:49,839 Speaker 2: them to television? Why the local two Sound station. Well, 96 00:05:49,960 --> 00:05:52,919 Speaker 2: that suggests that the kidnappers are local two Sound people 97 00:05:53,000 --> 00:05:56,760 Speaker 2: and familiar with that station. Also, the other thing is, 98 00:05:56,800 --> 00:06:01,200 Speaker 2: normally you'd send something some proof of life. You'd send 99 00:06:01,200 --> 00:06:04,960 Speaker 2: a picture of the victim kidnapped, you'd send a picture 100 00:06:04,960 --> 00:06:07,760 Speaker 2: of her tied up, you'd send a recording something. They 101 00:06:07,760 --> 00:06:12,080 Speaker 2: haven't done anything like that. Now. They did want six 102 00:06:12,120 --> 00:06:16,760 Speaker 2: million in bitcoin. They gave the bitcoin account, and people 103 00:06:16,839 --> 00:06:20,600 Speaker 2: looking at thatcoin account have seen activity yesterday or the 104 00:06:20,640 --> 00:06:22,760 Speaker 2: day before. They saw three hundred dollars go into it. 105 00:06:23,120 --> 00:06:26,919 Speaker 2: That's usually what the FBI or law enforcement will do 106 00:06:27,040 --> 00:06:30,200 Speaker 2: to track you down. You can track down crypto. It 107 00:06:30,279 --> 00:06:32,680 Speaker 2: can be done, and one of the first steps you 108 00:06:32,720 --> 00:06:35,880 Speaker 2: send a small amount of money into the account and 109 00:06:35,920 --> 00:06:39,080 Speaker 2: you can follow it through the blockchain. You can follow 110 00:06:39,080 --> 00:06:41,880 Speaker 2: it to see where it lands. You can scrape bits 111 00:06:41,920 --> 00:06:44,960 Speaker 2: of stuff off the different places it goes through, so 112 00:06:45,839 --> 00:06:48,039 Speaker 2: you may see another exchange or two for a couple 113 00:06:48,160 --> 00:06:51,000 Speaker 2: hundred bucks. That's them tracking it. But believe it or not, 114 00:06:51,080 --> 00:06:55,360 Speaker 2: you can track crypto. Now. This could cause a drop 115 00:06:55,400 --> 00:06:57,280 Speaker 2: in some of those crypto stocks in a week or two, 116 00:06:57,279 --> 00:07:00,000 Speaker 2: when all of a sudden they realize criminals or whoever 117 00:07:00,200 --> 00:07:03,839 Speaker 2: using it for shady purposes. You hedge fun guys. They 118 00:07:03,920 --> 00:07:07,680 Speaker 2: may start to realize it is traceable and that might 119 00:07:07,880 --> 00:07:11,560 Speaker 2: cause a little drop in crypto use coming up. So 120 00:07:12,200 --> 00:07:13,920 Speaker 2: we'll keep following it for you. We'll let you know 121 00:07:13,960 --> 00:07:16,640 Speaker 2: if anything breaks. This could happen at any time. They 122 00:07:16,640 --> 00:07:20,440 Speaker 2: could announce something at any time. The Epstein case, well, 123 00:07:21,720 --> 00:07:23,880 Speaker 2: you can go through these files over and over and 124 00:07:24,120 --> 00:07:27,000 Speaker 2: most of it is pretty boring. The Prince Andrew stuff 125 00:07:27,040 --> 00:07:29,200 Speaker 2: is juicy, The Bill Clinton stuff is juicy, but the 126 00:07:29,240 --> 00:07:32,280 Speaker 2: rest of it is nothing. They have been trying to 127 00:07:32,280 --> 00:07:35,760 Speaker 2: go after Howard Lutnik. They got him in Congress, he 128 00:07:35,800 --> 00:07:38,200 Speaker 2: had to testify in front of Congress. Here's a guy 129 00:07:38,200 --> 00:07:43,000 Speaker 2: who had almost no relationship with Jeffrey Epstein. Here's the 130 00:07:43,240 --> 00:07:44,400 Speaker 2: White House Press Secretary. 131 00:07:44,480 --> 00:07:47,240 Speaker 3: Secretary lot Nek remains a very important member of President 132 00:07:47,280 --> 00:07:50,400 Speaker 3: Trump's team, and the president fully supports the secretary. 133 00:07:50,760 --> 00:07:52,640 Speaker 2: Yeah, now they want him fired because all he did 134 00:07:52,720 --> 00:07:56,240 Speaker 2: was one time he had lunch with Epstein. Now, if 135 00:07:56,240 --> 00:07:58,960 Speaker 2: you're going to fire people that had lunch with Epstein, 136 00:07:59,000 --> 00:08:01,440 Speaker 2: well that's every major fire on Wall Street. That's about 137 00:08:01,480 --> 00:08:05,640 Speaker 2: twenty five world leaders. That's a lot of prominent people. 138 00:08:06,520 --> 00:08:09,640 Speaker 2: A lot of people have had lunch with Epstein. Now, 139 00:08:09,720 --> 00:08:11,960 Speaker 2: the reason Lutnick got involved with Epstein, he didn't really 140 00:08:11,960 --> 00:08:13,720 Speaker 2: get involved with him, but the only reason he knew him. 141 00:08:14,960 --> 00:08:19,280 Speaker 2: Lutnick bought a house in Manhattan. He was married and 142 00:08:19,480 --> 00:08:22,280 Speaker 2: his kids and he bought a big townhouse on seventy 143 00:08:22,280 --> 00:08:26,800 Speaker 2: first Street, and the house next door, which literally touches 144 00:08:26,880 --> 00:08:30,280 Speaker 2: his house. They share a wall together. The house next 145 00:08:30,320 --> 00:08:32,600 Speaker 2: door was Jeffrey Epstein, so at some point he got 146 00:08:32,600 --> 00:08:35,480 Speaker 2: to know his neighbor. They talked. At one point Epstein said, 147 00:08:35,480 --> 00:08:36,880 Speaker 2: you want to see my house, and he came and 148 00:08:36,920 --> 00:08:40,120 Speaker 2: looked around the house, and then they started to exchange emails, 149 00:08:40,440 --> 00:08:44,720 Speaker 2: very very few emails. I think it was like eight 150 00:08:44,760 --> 00:08:48,080 Speaker 2: emails over four years. So it's not really a relationship. 151 00:08:48,520 --> 00:08:51,880 Speaker 2: And at one point and Epstein would invite everybody to 152 00:08:51,920 --> 00:08:53,960 Speaker 2: his house in Palm Beach, to his house in New York, 153 00:08:54,080 --> 00:08:57,080 Speaker 2: wherever he was, the island down in the Bahamas, And 154 00:08:57,120 --> 00:09:00,880 Speaker 2: it turned out Lutnick was down there in the Bahamas, 155 00:09:00,880 --> 00:09:05,520 Speaker 2: big vacation week. He was with his family. And Epstein 156 00:09:05,600 --> 00:09:07,520 Speaker 2: keeps it stop by for lunch, stop by the island 157 00:09:07,520 --> 00:09:09,120 Speaker 2: for lunch. So one day he does stop by the 158 00:09:09,120 --> 00:09:12,360 Speaker 2: island for lunch, but he came to lunch. He was 159 00:09:12,400 --> 00:09:14,600 Speaker 2: there for an hour. When he came to lunch, he 160 00:09:14,640 --> 00:09:19,600 Speaker 2: had with him his wife, his kids, and two nannies. Now, 161 00:09:19,720 --> 00:09:22,360 Speaker 2: some people think that when you're testifying, just say a nanny. 162 00:09:22,840 --> 00:09:26,040 Speaker 2: Don't say, two nannies. You sound too elitist when you 163 00:09:26,080 --> 00:09:29,559 Speaker 2: have to have two nannies for your kids. But this 164 00:09:29,640 --> 00:09:32,360 Speaker 2: is him and Mike Johnson, the Speaker was asking, well, 165 00:09:32,559 --> 00:09:34,400 Speaker 2: shouldn't he resign? Everybody wants him to resign. 166 00:09:35,679 --> 00:09:39,079 Speaker 3: Flutnick is a great Commerce secretary to an extraordinary job 167 00:09:39,120 --> 00:09:41,920 Speaker 3: play the country, and Thomas Massey should stop playing. 168 00:09:41,760 --> 00:09:44,280 Speaker 2: Third again again. If you had to resign for having 169 00:09:44,320 --> 00:09:47,560 Speaker 2: lunch with Epstein, that would be half the CEOs in 170 00:09:47,600 --> 00:09:51,600 Speaker 2: New York, about twenty world leaders. In fact, Epstein was 171 00:09:51,679 --> 00:09:54,319 Speaker 2: always having people come to his house for lunch, and 172 00:09:54,440 --> 00:09:56,120 Speaker 2: a lot of times, by the way, you have to 173 00:09:56,120 --> 00:09:59,959 Speaker 2: have every college president of every major university resigned because 174 00:10:00,080 --> 00:10:02,960 Speaker 2: they were all constantly having lunch at Epstein's house. One 175 00:10:03,000 --> 00:10:05,520 Speaker 2: reason is he was a big donor. Now why would 176 00:10:05,520 --> 00:10:07,920 Speaker 2: all these guys get Well, he had what they call 177 00:10:08,679 --> 00:10:11,480 Speaker 2: check's appeal. He would write your check. He would donate 178 00:10:11,559 --> 00:10:14,319 Speaker 2: millions to a college. If you had some charity, he'd 179 00:10:14,400 --> 00:10:16,640 Speaker 2: write He wrote a check just like that, as I 180 00:10:16,679 --> 00:10:19,360 Speaker 2: mentioned Dick Cavot, and he wanted somebody to finance his 181 00:10:19,400 --> 00:10:23,280 Speaker 2: a PBS special, an American Master Special, four hundred and 182 00:10:23,320 --> 00:10:27,080 Speaker 2: eighty thousand. Epstein just wrote the check just like that. 183 00:10:27,280 --> 00:10:29,880 Speaker 2: So if that's all he wants in exchange, come to lunch, 184 00:10:29,920 --> 00:10:33,920 Speaker 2: come to dinner, you do it. And here's Lutnick he 185 00:10:33,960 --> 00:10:36,400 Speaker 2: had to testify about this, about this visit. 186 00:10:36,880 --> 00:10:41,240 Speaker 3: When you visited the private island? Did you see anything 187 00:10:41,440 --> 00:10:43,199 Speaker 3: inappropriate during that visit? 188 00:10:46,080 --> 00:10:49,400 Speaker 4: The only thing I saw with my wife and my 189 00:10:49,520 --> 00:10:54,360 Speaker 4: children and the other couple and their children was staff 190 00:10:54,400 --> 00:10:57,760 Speaker 4: who worked for mister Epstein on that island. 191 00:10:58,160 --> 00:11:01,600 Speaker 2: Yeah, that's all. It was an hour boat pulled up, 192 00:11:01,640 --> 00:11:04,640 Speaker 2: got off, had lunch with Epstein. There was another couple 193 00:11:04,640 --> 00:11:07,560 Speaker 2: with their kids, a lot of kids there, and that 194 00:11:07,679 --> 00:11:08,000 Speaker 2: was it. 195 00:11:08,040 --> 00:11:11,479 Speaker 3: Did you in fact make the visit to Jeffrey Epstein's 196 00:11:11,480 --> 00:11:12,280 Speaker 3: private island? 197 00:11:13,840 --> 00:11:16,400 Speaker 4: I did have lunch with him, as I was on 198 00:11:16,480 --> 00:11:20,319 Speaker 4: a boat going across on a family vacation. My wife 199 00:11:20,640 --> 00:11:24,400 Speaker 4: was with me, as were my four children and nanny's. 200 00:11:24,640 --> 00:11:29,040 Speaker 4: I had another couple. They were there as well with 201 00:11:29,160 --> 00:11:33,120 Speaker 4: their children, and we had lunch on the island. 202 00:11:33,520 --> 00:11:36,800 Speaker 2: That's it pretty simple. Now, what can we learn from this, Well, 203 00:11:36,920 --> 00:11:39,800 Speaker 2: don't invite Howard Lutnick to lunch, because look at this guy. 204 00:11:39,800 --> 00:11:42,320 Speaker 2: He brings four kids with him, he brings his wife, 205 00:11:42,360 --> 00:11:45,600 Speaker 2: he brings another couple with kids. He brings two nannies. 206 00:11:45,640 --> 00:11:47,000 Speaker 2: You invite the guy to lunch, all of a sudden, 207 00:11:47,040 --> 00:11:49,600 Speaker 2: it takes twelve seats. I mean, so don't invite him 208 00:11:49,600 --> 00:11:51,920 Speaker 2: to lunch. But he's a nice guy. I don't think 209 00:11:51,920 --> 00:11:54,480 Speaker 2: there's anything there. Listen, there's a lot of people I know. 210 00:11:56,559 --> 00:11:58,680 Speaker 2: There's a guy I know who's almost another Howard Lutnik. 211 00:11:58,720 --> 00:12:02,760 Speaker 2: He's a big hedgehunt and chairman. I don't really know 212 00:12:02,800 --> 00:12:05,120 Speaker 2: the guy, but he always invites me to parties at 213 00:12:05,120 --> 00:12:07,520 Speaker 2: his house. And he has great parties, all fine people. 214 00:12:08,080 --> 00:12:11,560 Speaker 2: I've been to three or four of them, and I 215 00:12:11,600 --> 00:12:12,960 Speaker 2: don't know the guy. I never talked to the guy 216 00:12:12,960 --> 00:12:14,760 Speaker 2: more than five seconds of my whole life. So the 217 00:12:14,760 --> 00:12:18,320 Speaker 2: fact that he stopped by with twelve people for lunch, 218 00:12:18,800 --> 00:12:22,520 Speaker 2: it's pretty harmless, pretty innocent. Now, when you get to 219 00:12:22,559 --> 00:12:27,440 Speaker 2: Bill Clinton, that's another matter. Because Bill Clinton was heavily 220 00:12:27,720 --> 00:12:32,120 Speaker 2: involved financially with Epstein, so is Hillary. It looks like 221 00:12:32,200 --> 00:12:34,720 Speaker 2: Epstein was the guy who helped launch and fund and 222 00:12:34,840 --> 00:12:38,720 Speaker 2: start the Clinton Foundation. The Clinton Global Initiative was a 223 00:12:38,720 --> 00:12:42,000 Speaker 2: big Epstein project, and he gave tons of money to 224 00:12:42,040 --> 00:12:46,040 Speaker 2: the Clintons and Clinton did a lot of stuff for Epstein. 225 00:12:47,360 --> 00:12:50,360 Speaker 2: Epstein is trying. He's a fixer who tries to open 226 00:12:50,400 --> 00:12:54,000 Speaker 2: doors in other countries for business. And if you're having 227 00:12:54,000 --> 00:12:57,120 Speaker 2: a problem there in India, why Bill Clinton can call 228 00:12:57,200 --> 00:12:59,120 Speaker 2: the President of India. He can call the ahead of 229 00:12:59,160 --> 00:13:02,079 Speaker 2: any entry, heads of state. They all loved Bill Clinton. 230 00:13:02,559 --> 00:13:04,720 Speaker 2: He can get you right into the President's office, right 231 00:13:04,760 --> 00:13:07,480 Speaker 2: into the Prime Minister's office. And he did that kind 232 00:13:07,520 --> 00:13:10,480 Speaker 2: of stuff for him. But it looked like, unlike these 233 00:13:10,520 --> 00:13:13,360 Speaker 2: other people, with Bill Clinton, there was a lot of socializing. 234 00:13:13,400 --> 00:13:16,240 Speaker 2: There's Bill Clinton in the pool with some women. There's 235 00:13:16,240 --> 00:13:19,440 Speaker 2: Bill Clinton in the hot tub with some women, now 236 00:13:19,520 --> 00:13:23,080 Speaker 2: not underage, not underage. Bill Clinton preferred older women, but 237 00:13:23,160 --> 00:13:26,920 Speaker 2: there were plenty of them around. So you can go 238 00:13:26,920 --> 00:13:30,560 Speaker 2: to the Epstein files. By the way, just google Epstein files. 239 00:13:30,600 --> 00:13:33,440 Speaker 2: It'll take you to the DOJ website where it's called 240 00:13:33,480 --> 00:13:37,320 Speaker 2: the Epstein Library. There's a search bar. You can search 241 00:13:38,040 --> 00:13:40,800 Speaker 2: any name you want. And it's fascinating to read the 242 00:13:40,840 --> 00:13:43,800 Speaker 2: emails of some of these people. And the first thing 243 00:13:43,840 --> 00:13:45,559 Speaker 2: are going to think is why the hell did they 244 00:13:45,559 --> 00:13:47,960 Speaker 2: put all this in writing? But they're writing back and 245 00:13:48,000 --> 00:13:51,319 Speaker 2: forth about everything. All the Epstein's emails are up there, 246 00:13:51,360 --> 00:13:54,000 Speaker 2: all of his texts, all of his credit card bills. 247 00:13:54,000 --> 00:13:59,000 Speaker 2: It's fascinating to read. Hey, the super Bowl second highest 248 00:13:59,040 --> 00:14:03,320 Speaker 2: audience ever, one hundred and twenty five million viewers. Super 249 00:14:03,360 --> 00:14:06,400 Speaker 2: Bowl second highest audience ever, one hundred and twenty five million, 250 00:14:06,720 --> 00:14:08,480 Speaker 2: and there were a lot of people tuned in just 251 00:14:08,559 --> 00:14:12,400 Speaker 2: to see Bad Bunny. That was the peak because when 252 00:14:12,440 --> 00:14:15,000 Speaker 2: Bad Bunny did his halftime show over one hundred and 253 00:14:15,080 --> 00:14:18,800 Speaker 2: twenty eight million, we're watching one hundred and twenty eight million. Now, 254 00:14:18,800 --> 00:14:22,720 Speaker 2: that's not the highest halftime Kendrick Lamar got one hundred 255 00:14:22,720 --> 00:14:28,040 Speaker 2: and thirty three million, but big, big reviews for big numbers, 256 00:14:28,040 --> 00:14:30,440 Speaker 2: big ratings for Bad Bunny, which I thought it was 257 00:14:30,480 --> 00:14:32,360 Speaker 2: pretty good. I mean, one thing he said, I couldn't 258 00:14:32,400 --> 00:14:35,360 Speaker 2: understand what he was singing. But hey, when I listen 259 00:14:35,360 --> 00:14:37,440 Speaker 2: to the radio half the artist singing, I don't understand 260 00:14:37,480 --> 00:14:39,400 Speaker 2: what they're saying. Anyway, even when they speak English, you 261 00:14:39,480 --> 00:14:42,960 Speaker 2: can't always understand the lyrics. But it was a colorful, 262 00:14:43,680 --> 00:14:46,720 Speaker 2: lively sort of halftime show. Now, you know the Real 263 00:14:46,760 --> 00:14:50,480 Speaker 2: Housewives in New York, remember the original cast, Jill Zarin, 264 00:14:51,000 --> 00:14:57,120 Speaker 2: Ramona Singer, Sonia Morgan, the Countess. They were the original 265 00:14:57,200 --> 00:14:59,440 Speaker 2: Real Housewives in New York. They're all these old hags 266 00:14:59,480 --> 00:15:01,960 Speaker 2: now Palm Beach. So they were going to do a 267 00:15:01,960 --> 00:15:04,840 Speaker 2: big comeback show. Bravo was gonna be a it's a 268 00:15:04,840 --> 00:15:07,440 Speaker 2: big show. It's coming in the fall. Original cast of 269 00:15:07,480 --> 00:15:10,120 Speaker 2: the Real Housewives in New York. They're all back. But 270 00:15:11,800 --> 00:15:16,000 Speaker 2: Jill Zarin has been fired. She was fired yesterday because 271 00:15:16,040 --> 00:15:18,160 Speaker 2: after the Bad Bunny thing, she put up this video 272 00:15:18,840 --> 00:15:23,040 Speaker 2: ranting and raving about bad Bunny. Now here's the problem 273 00:15:23,360 --> 00:15:26,080 Speaker 2: these And I know most of these Real Housewives, or 274 00:15:26,120 --> 00:15:27,600 Speaker 2: I used to know them. I stopped talking to all 275 00:15:27,640 --> 00:15:31,280 Speaker 2: of them. They're just horrible to be around. They're really 276 00:15:31,360 --> 00:15:36,800 Speaker 2: really shallow people, really tacky, not very bright. And when 277 00:15:36,840 --> 00:15:39,720 Speaker 2: you're a you know, Abbio, she's one of those, and 278 00:15:39,760 --> 00:15:42,000 Speaker 2: you're not that bright. Some of those, how are you? 279 00:15:42,160 --> 00:15:45,000 Speaker 2: Some of those are pretty bright. These people not bright. 280 00:15:45,080 --> 00:15:48,600 Speaker 2: These are low IQ people. So she's whenever low IQ 281 00:15:48,720 --> 00:15:52,240 Speaker 2: people like that try to talk about anything political, anything 282 00:15:52,280 --> 00:15:55,840 Speaker 2: in the news, they sound like absolute morons. And she 283 00:15:55,960 --> 00:15:59,520 Speaker 2: was talking about bad Bunny and sounded like an imbecile 284 00:15:59,680 --> 00:16:03,720 Speaker 2: and to ranting and raving, and she's being called a racist. 285 00:16:03,800 --> 00:16:06,440 Speaker 2: She said at one point, why would I know white people? 286 00:16:06,520 --> 00:16:09,360 Speaker 2: How come no white people, and it just sounded awful. 287 00:16:10,000 --> 00:16:12,680 Speaker 2: They fired her immediately. In fact, most of the real 288 00:16:12,720 --> 00:16:15,520 Speaker 2: housewives of all those different cities have come out and 289 00:16:15,600 --> 00:16:21,120 Speaker 2: condemned her. In her defense, she it sounded racist, but 290 00:16:21,240 --> 00:16:24,000 Speaker 2: she may not be a racist because I did know her. 291 00:16:24,160 --> 00:16:28,600 Speaker 2: She is a babbling idiot, not very bright. So and again, 292 00:16:28,640 --> 00:16:30,960 Speaker 2: when people like that try to talk about anything political, 293 00:16:31,000 --> 00:16:34,000 Speaker 2: they get themselves into trouble. But she has been fired 294 00:16:35,000 --> 00:16:39,560 Speaker 2: and that's it. You know, her family, her husband had 295 00:16:39,560 --> 00:16:42,920 Speaker 2: a big business, Zaren Fabrics. It's a huge company, big, 296 00:16:43,080 --> 00:16:45,640 Speaker 2: one of the top fabric companies. But I guess they 297 00:16:45,680 --> 00:16:48,120 Speaker 2: sold it. She has no connection to it now. So 298 00:16:48,200 --> 00:16:51,400 Speaker 2: even Zaren Fabrics on their website, on their Instagram put 299 00:16:51,480 --> 00:16:54,520 Speaker 2: up a big notice, we have nothing to do with 300 00:16:54,600 --> 00:16:56,560 Speaker 2: this woman. We don't know this woman, We never heard 301 00:16:56,600 --> 00:16:59,560 Speaker 2: of this woman. Pretty bad for her. Hey, we'll take 302 00:16:59,600 --> 00:17:03,200 Speaker 2: some calls. Next. Eight hundred three two one zero seven 303 00:17:03,280 --> 00:17:07,080 Speaker 2: ten is the number. Eight hundred three two one zero 304 00:17:07,280 --> 00:17:09,960 Speaker 2: seven ten, New York. 305 00:17:10,240 --> 00:17:13,080 Speaker 1: Mark simone on woor. 306 00:17:14,560 --> 00:17:18,040 Speaker 2: Hey, let's take some calls. Let's go to uh Bobby 307 00:17:18,119 --> 00:17:22,160 Speaker 2: in Carmel, New York. Bobby, how you doing okay? Good? 308 00:17:22,240 --> 00:17:25,719 Speaker 5: Mark? H Yeah, They they interpreted the lyrics the bugs 309 00:17:25,720 --> 00:17:28,280 Speaker 5: Bunny sang, and they said they were really x rated. 310 00:17:29,560 --> 00:17:31,400 Speaker 5: I don't know who's pick of that, but I don't 311 00:17:31,400 --> 00:17:32,080 Speaker 5: know if you heard that. 312 00:17:32,480 --> 00:17:34,840 Speaker 2: No, what what did bugs Bunny saying that was x rated? 313 00:17:35,880 --> 00:17:39,200 Speaker 5: They said the lyrics were interpreted, which lyrics break? 314 00:17:39,600 --> 00:17:41,280 Speaker 2: Which lyrics? 315 00:17:41,320 --> 00:17:44,040 Speaker 5: The lyrics that Big Bunny was singing. 316 00:17:44,080 --> 00:17:45,760 Speaker 2: Bad Bunny? I think he said bugs Bunny. 317 00:17:46,400 --> 00:17:49,359 Speaker 5: Yeah, well bugs Bunny, bad Bunny. What's the difference. But 318 00:17:49,440 --> 00:17:52,199 Speaker 5: they said the lyrics were x rated. I didn't I 319 00:17:52,280 --> 00:17:53,320 Speaker 5: heard some of them. 320 00:17:53,200 --> 00:17:55,960 Speaker 2: But it could be. That could be. But hey, a 321 00:17:55,960 --> 00:17:58,679 Speaker 2: lot of music is x rated. A lot of English 322 00:17:58,800 --> 00:18:02,399 Speaker 2: lyrics are pretty suggestive and x rayed. Let's go to 323 00:18:02,480 --> 00:18:05,760 Speaker 2: George and beautiful Port Jefferson. George, how you doing. 324 00:18:06,880 --> 00:18:10,040 Speaker 6: I'm doing great, Mark, I'm just like the Epstein case 325 00:18:10,520 --> 00:18:14,000 Speaker 6: instead of been cleared up. Where was he getting the 326 00:18:14,080 --> 00:18:16,720 Speaker 6: money all his cash flow to give to people and 327 00:18:16,800 --> 00:18:17,320 Speaker 6: curry face? 328 00:18:17,440 --> 00:18:19,800 Speaker 2: Oh, he was worth about four or five hundred million. 329 00:18:19,840 --> 00:18:22,000 Speaker 2: He was running a hedge fund, a wealth management company. 330 00:18:22,119 --> 00:18:23,160 Speaker 2: Was a big financial guy. 331 00:18:23,720 --> 00:18:25,600 Speaker 6: That's where he got the money of his own work. 332 00:18:25,800 --> 00:18:27,480 Speaker 2: Yeah, you can make a lot of money and that 333 00:18:27,560 --> 00:18:28,240 Speaker 2: sort of stuff. 334 00:18:28,760 --> 00:18:30,240 Speaker 6: Okay, I wasn't really sure. 335 00:18:30,440 --> 00:18:32,399 Speaker 2: Yeah, he had a wealth management fund. He had a 336 00:18:32,440 --> 00:18:34,920 Speaker 2: lot of billionaires putting money in there. He was managing 337 00:18:34,960 --> 00:18:37,680 Speaker 2: tons of money, running a hedge fund, running all sorts 338 00:18:37,720 --> 00:18:38,240 Speaker 2: of stuffy. 339 00:18:38,440 --> 00:18:40,360 Speaker 6: So he was obviously a small guy. 340 00:18:40,640 --> 00:18:44,159 Speaker 2: Yeah. He actually was a mathematician before he did this, 341 00:18:44,240 --> 00:18:46,040 Speaker 2: and then because of that mass skill, he was able 342 00:18:46,080 --> 00:18:47,960 Speaker 2: to figure out all kinds of financial things. And he 343 00:18:48,080 --> 00:18:50,680 Speaker 2: was apparently a genius reason a lot of these guys 344 00:18:50,680 --> 00:18:53,160 Speaker 2: put money in with him. He was a genius at 345 00:18:53,160 --> 00:18:56,359 Speaker 2: how to avoid taxes legally, how you could use shell 346 00:18:56,400 --> 00:18:57,720 Speaker 2: companies put it off shore. 347 00:18:58,320 --> 00:18:59,840 Speaker 6: He was thanks for clearing. 348 00:19:00,359 --> 00:19:03,160 Speaker 2: Hey, you got a lot of snow in Port Jefferson, a. 349 00:19:03,080 --> 00:19:05,800 Speaker 6: Lot, And don't tell people. Port Jefferson is great. I 350 00:19:05,840 --> 00:19:07,800 Speaker 6: don't want people to move. More people to move here. 351 00:19:07,840 --> 00:19:10,280 Speaker 6: It's a great place. It's a great garden city. I 352 00:19:10,320 --> 00:19:11,680 Speaker 6: lived in the city, mantin. 353 00:19:11,880 --> 00:19:14,160 Speaker 2: Garden City is a great place. Port Jefferson. You got 354 00:19:14,160 --> 00:19:16,760 Speaker 2: great restaurants. You got prohibition that you'll go there. 355 00:19:16,920 --> 00:19:18,920 Speaker 6: Oh yeah, yeah, Yeah, it's a it's a great town 356 00:19:19,320 --> 00:19:20,360 Speaker 6: right near the sound. 357 00:19:20,440 --> 00:19:23,880 Speaker 2: At the hotel there that Danford. Everybody go there this weekend. 358 00:19:24,359 --> 00:19:27,920 Speaker 2: Just screw up. George just to get George fire. Yeah, 359 00:19:28,160 --> 00:19:30,199 Speaker 2: thanks for calling. Yeah, in the middle of summer, you 360 00:19:30,240 --> 00:19:32,840 Speaker 2: can't move in that in that town. Let's go to 361 00:19:33,480 --> 00:19:35,880 Speaker 2: Robert in Westchester. Robert, how you doing. 362 00:19:36,880 --> 00:19:38,840 Speaker 7: Good morning, Mark, and thank you for taking my call. 363 00:19:39,359 --> 00:19:39,600 Speaker 8: Mark. 364 00:19:39,680 --> 00:19:43,399 Speaker 7: Last night, Bill O'Reilly had announced that as of today. 365 00:19:43,440 --> 00:19:46,720 Speaker 7: He said, as of today, if the midterms were being held, 366 00:19:47,240 --> 00:19:50,800 Speaker 7: that we would probably lose to Congress and tie with 367 00:19:50,920 --> 00:19:54,119 Speaker 7: the Senate. Now I'm praying every day for the you know, 368 00:19:54,200 --> 00:19:57,040 Speaker 7: President Trump in our country that with these numbers that 369 00:19:57,080 --> 00:19:59,119 Speaker 7: are coming out, I'm praying they only get even better 370 00:19:59,240 --> 00:19:59,760 Speaker 7: the president. 371 00:20:00,280 --> 00:20:03,440 Speaker 2: You remember something, all these poll numbers, everything you see 372 00:20:03,440 --> 00:20:05,919 Speaker 2: now means absolutely nothing. It's like trying to predict a 373 00:20:05,920 --> 00:20:09,119 Speaker 2: super Bowl winner for twenty twenty eight. It doesn't mean them. 374 00:20:09,200 --> 00:20:12,399 Speaker 2: Now I had no argument, So okay, great, Let's go 375 00:20:12,520 --> 00:20:15,240 Speaker 2: to Harold in Warwick. Harold, how you doing. 376 00:20:16,840 --> 00:20:17,080 Speaker 7: Good? 377 00:20:17,119 --> 00:20:17,399 Speaker 5: Thank you? 378 00:20:17,480 --> 00:20:17,760 Speaker 9: Mark. 379 00:20:18,520 --> 00:20:18,920 Speaker 2: How Come? 380 00:20:19,160 --> 00:20:22,560 Speaker 10: How come Savannah Guthrie is making fourteen million dollars a year? 381 00:20:22,960 --> 00:20:25,000 Speaker 10: How come she can only I can only scrounge a 382 00:20:25,080 --> 00:20:29,680 Speaker 10: fifty grand for a for a ransom I'm to pay 383 00:20:29,680 --> 00:20:30,720 Speaker 10: for information. 384 00:20:31,160 --> 00:20:35,080 Speaker 7: This is ridiculous. A million dollars would maybe loosen up 385 00:20:35,119 --> 00:20:36,359 Speaker 7: some people around. 386 00:20:36,480 --> 00:20:38,920 Speaker 2: Yeah, that's good point. A lot of people have, even 387 00:20:38,960 --> 00:20:40,760 Speaker 2: law enforcement people off the record, it said it's a 388 00:20:40,760 --> 00:20:44,159 Speaker 2: pretty chinzy reward. Fifty thousand should the rewards should be 389 00:20:44,240 --> 00:20:46,000 Speaker 2: much higher. But you gotta remember in two sound things 390 00:20:46,040 --> 00:20:48,520 Speaker 2: are much cheaper. For instance, you saw the house. That's 391 00:20:48,560 --> 00:20:50,600 Speaker 2: a one point two million dollar house she lived in. 392 00:20:52,400 --> 00:20:54,720 Speaker 2: If that house were in Long Island, that would be 393 00:20:54,920 --> 00:20:57,159 Speaker 2: like a nine million dollar house. Everything's just cheap. If 394 00:20:57,160 --> 00:20:58,720 Speaker 2: we were in New Jersey, you'd be like a seven 395 00:20:58,720 --> 00:21:02,440 Speaker 2: million dollars everything. It's an enormous house with a pool, everything. 396 00:21:02,800 --> 00:21:05,040 Speaker 2: It's just cheaper out there, So fifty thousand out there 397 00:21:05,119 --> 00:21:08,120 Speaker 2: could be like two hundred and fifty thousand. Here, let's 398 00:21:08,160 --> 00:21:12,280 Speaker 2: go to Lorenzo in Levittown. Lorenzo, how you doing good? 399 00:21:12,280 --> 00:21:14,440 Speaker 8: To hear your voice. I want the world to know 400 00:21:14,480 --> 00:21:16,840 Speaker 8: that Donald Trump, God bless him, has done more to 401 00:21:16,840 --> 00:21:19,879 Speaker 8: help American veterans than all the presidents after Reagan. And 402 00:21:19,880 --> 00:21:22,600 Speaker 8: he's done more than Reagan and almost much as that 403 00:21:22,640 --> 00:21:25,199 Speaker 8: FDR with the GI Bill, and the world should know this, 404 00:21:25,480 --> 00:21:28,560 Speaker 8: and also pose of war and vmcl antucts. We should 405 00:21:28,600 --> 00:21:31,639 Speaker 8: drop to the bowl. Richard Bavley Animal practice, They help American, right. 406 00:21:31,720 --> 00:21:32,879 Speaker 2: I had to break it to you, But for the 407 00:21:32,960 --> 00:21:35,439 Speaker 2: last twenty seconds you were unintelligible. You were talking so 408 00:21:35,560 --> 00:21:38,399 Speaker 2: fast and mumbling. Nobody could understand one thing you said. 409 00:21:38,640 --> 00:21:41,560 Speaker 2: I had a better shot understanding the bad Bunny lyrics 410 00:21:41,600 --> 00:21:44,400 Speaker 2: than whatever you just said there. Yeah, Donald Trump, veterans 411 00:21:44,440 --> 00:21:46,480 Speaker 2: was always a major cause. He was going back to 412 00:21:46,520 --> 00:21:49,520 Speaker 2: the nineteen seventies. In fact, there was a time in 413 00:21:49,560 --> 00:21:52,680 Speaker 2: the I think it was the early eighties. The Veterans 414 00:21:52,760 --> 00:21:54,760 Speaker 2: Day Parade is a big thing in New York every year, 415 00:21:54,800 --> 00:21:57,440 Speaker 2: and I forget why the organization ran out of money. 416 00:21:57,480 --> 00:21:59,760 Speaker 2: They had no money, and for the first year ever 417 00:22:00,040 --> 00:22:02,280 Speaker 2: there was going to be no Veterans Day Parade in 418 00:22:02,320 --> 00:22:06,000 Speaker 2: New York. And then Donald Trump stepped in and paid 419 00:22:06,040 --> 00:22:09,200 Speaker 2: for it, personally financed it, and then took the organization 420 00:22:09,280 --> 00:22:11,040 Speaker 2: and worked with them and got them back on their 421 00:22:11,040 --> 00:22:14,320 Speaker 2: feet financially and saved it. But hey, when we come back, 422 00:22:14,359 --> 00:22:18,399 Speaker 2: the brilliant Steve Forbes Big Job number came out today. 423 00:22:18,400 --> 00:22:21,520 Speaker 2: We'll talk to him about the economy, about the midterms, 424 00:22:21,560 --> 00:22:23,920 Speaker 2: the country. We'll get to all of that next on 425 00:22:24,040 --> 00:22:26,480 Speaker 2: seven to ten wor the. 426 00:22:26,520 --> 00:22:30,960 Speaker 1: Mark Simoniell on sevent ten wor Well. 427 00:22:31,040 --> 00:22:33,600 Speaker 2: We like to bring you the smartest people on earth, 428 00:22:33,640 --> 00:22:36,399 Speaker 2: and Steve Forbes is one of them. Steve Forbes, chairman 429 00:22:36,480 --> 00:22:40,040 Speaker 2: of Forbes Media, and you should get his latest book. 430 00:22:40,119 --> 00:22:42,560 Speaker 2: It's an excellent book. You should read this book. It's 431 00:22:42,560 --> 00:22:45,560 Speaker 2: called Inflation, and there's no better book on the subject. 432 00:22:45,880 --> 00:22:47,520 Speaker 2: Steve Forbes, How you doing. 433 00:22:48,920 --> 00:22:53,160 Speaker 9: Doing fine today? Good jobs report and we're having, as 434 00:22:53,200 --> 00:22:56,399 Speaker 9: you know, in the New York area heat wave in 435 00:22:56,440 --> 00:23:01,480 Speaker 9: the thirties after single digit temperatures. I feel like getting 436 00:23:01,480 --> 00:23:06,200 Speaker 9: out the sunlation. It's quite wonderful. Yeah, ghivering, not so much. 437 00:23:06,480 --> 00:23:09,440 Speaker 9: Job report was big, it was much double. I could 438 00:23:09,440 --> 00:23:11,240 Speaker 9: tell it was a good jobs number because I have 439 00:23:11,320 --> 00:23:13,399 Speaker 9: all the TV networks on. I see no coverage of it, 440 00:23:13,440 --> 00:23:17,800 Speaker 9: so it must have been really good. Well, and just 441 00:23:17,800 --> 00:23:20,280 Speaker 9: just a little note of caution the way they do 442 00:23:20,400 --> 00:23:24,640 Speaker 9: seasonal adjustments, and with all the government problems with the 443 00:23:24,720 --> 00:23:29,800 Speaker 9: numbers recently, I'm waiting for February, I think for you 444 00:23:29,920 --> 00:23:34,480 Speaker 9: and marsh Wall finally get some sanity back. But the number, 445 00:23:34,680 --> 00:23:37,280 Speaker 9: though no denying, the number that came in today was 446 00:23:37,320 --> 00:23:40,600 Speaker 9: about two or three times what the so called experts 447 00:23:40,600 --> 00:23:44,760 Speaker 9: are estimating. So take what we can and certainly, fourth 448 00:23:44,840 --> 00:23:48,400 Speaker 9: quarter growth looks pretty good. There are some very big 449 00:23:48,480 --> 00:23:52,679 Speaker 9: roadblocks ahead, but that's true of the world. But in 450 00:23:52,720 --> 00:23:57,159 Speaker 9: the meantime things the arrows are green rather than red 451 00:23:57,240 --> 00:24:00,960 Speaker 9: in terms of the economy moving joy. Why you can 452 00:24:01,119 --> 00:24:02,840 Speaker 9: even if the weather's a lousy Yeah. 453 00:24:03,280 --> 00:24:05,520 Speaker 2: These are real jobs. In the Biden administration, often they 454 00:24:05,520 --> 00:24:07,679 Speaker 2: would just throw in government jobs to get that number up. 455 00:24:07,720 --> 00:24:08,120 Speaker 2: These are real. 456 00:24:08,160 --> 00:24:11,800 Speaker 9: Wow, that's why you hit on something very important. Government 457 00:24:11,880 --> 00:24:16,200 Speaker 9: jobs according to these numbers fell and so that means 458 00:24:16,240 --> 00:24:20,119 Speaker 9: that we have which you might call more productive jobs, 459 00:24:20,680 --> 00:24:22,119 Speaker 9: people doing real things. 460 00:24:22,280 --> 00:24:22,560 Speaker 8: Yay. 461 00:24:23,200 --> 00:24:25,159 Speaker 2: Yeah. So in the Biden years they would go out 462 00:24:25,200 --> 00:24:27,120 Speaker 2: and hire a few hundred thousand people that would get 463 00:24:27,520 --> 00:24:28,480 Speaker 2: a job. Number to go on. 464 00:24:28,600 --> 00:24:31,679 Speaker 9: And by the way, they did a revision of twenty 465 00:24:31,760 --> 00:24:35,680 Speaker 9: twenty four, the last year of President Biden or whoever 466 00:24:35,760 --> 00:24:40,560 Speaker 9: was handling them, and the number number of estimated jobs 467 00:24:41,520 --> 00:24:45,760 Speaker 9: went down almost by a million. So so so so 468 00:24:45,920 --> 00:24:47,800 Speaker 9: much for his economic performance. 469 00:24:48,760 --> 00:24:52,480 Speaker 2: I don't know, he was. He was a pretty impressive president, 470 00:24:52,480 --> 00:24:54,439 Speaker 2: don't you think I'm kidding? 471 00:24:55,560 --> 00:25:00,480 Speaker 9: Yeah, oh no, you have to put make it plural presidents, whoever, 472 00:25:01,000 --> 00:25:04,680 Speaker 9: whoever was running it, whoever was running it behind the scenes, 473 00:25:06,440 --> 00:25:10,800 Speaker 9: including Missus Wilson aka doctor Joe Biden. 474 00:25:11,680 --> 00:25:13,560 Speaker 2: Now, the problem with government spending, one of the big 475 00:25:13,560 --> 00:25:16,920 Speaker 2: problems which people forget, is you're overpaying by about ten 476 00:25:17,720 --> 00:25:21,399 Speaker 2: for everything, I mean, the fraud, the waste. Are we 477 00:25:21,440 --> 00:25:23,679 Speaker 2: ever going to fix that problem? 478 00:25:24,080 --> 00:25:27,560 Speaker 9: I think the answer in this high tech age is yes. 479 00:25:28,240 --> 00:25:31,240 Speaker 9: Because one of the things that is coming out, and 480 00:25:31,359 --> 00:25:34,720 Speaker 9: especially it's amazing how these things really hit the critical 481 00:25:34,800 --> 00:25:38,879 Speaker 9: mass is what's unfolding in Minnesota. Twenty three year old 482 00:25:39,440 --> 00:25:42,720 Speaker 9: comes in and actually looks where does this money go? 483 00:25:42,880 --> 00:25:46,280 Speaker 9: And we find out about the Leering Center and other 484 00:25:46,440 --> 00:25:50,320 Speaker 9: massive waste. And so the key thing is and what 485 00:25:50,400 --> 00:25:53,040 Speaker 9: the Republicans have to get across. We're not toying about 486 00:25:53,040 --> 00:25:56,040 Speaker 9: taking things away from people. We're toying about taking money 487 00:25:56,080 --> 00:25:59,320 Speaker 9: away from people. Are stealing it from you and not 488 00:25:59,440 --> 00:26:03,520 Speaker 9: using it for a stated purposes. And that Learying Center, 489 00:26:03,640 --> 00:26:07,280 Speaker 9: so called learning center, will stand as a symbol. And 490 00:26:07,359 --> 00:26:10,040 Speaker 9: so people get that, and that says and of course 491 00:26:10,080 --> 00:26:13,399 Speaker 9: it's not just Minnesota, it's everywhere Illinois. You name it, 492 00:26:13,640 --> 00:26:16,320 Speaker 9: you're going to find it there. And so if people 493 00:26:16,359 --> 00:26:20,879 Speaker 9: are dedicated online, there's doing some basic research going and 494 00:26:20,920 --> 00:26:23,560 Speaker 9: finding out where do these things go, What are these 495 00:26:23,600 --> 00:26:26,240 Speaker 9: people being paid for? I think you're going to set 496 00:26:26,280 --> 00:26:30,919 Speaker 9: in motion a grassroots reduction in terms of wasteflespending, not 497 00:26:31,080 --> 00:26:35,320 Speaker 9: from hearings in Washington, but grass roots and that's where 498 00:26:35,359 --> 00:26:38,160 Speaker 9: you get results, not just with the federal budget budget, 499 00:26:38,200 --> 00:26:41,360 Speaker 9: but state and local budgets. People are going to take 500 00:26:41,920 --> 00:26:44,560 Speaker 9: in a good way the budget law in their own hands. 501 00:26:44,760 --> 00:26:47,520 Speaker 2: Yeah, Now, what about California. Besides the fact that we're 502 00:26:47,520 --> 00:26:49,600 Speaker 2: probably going to find more fraud out there, but what 503 00:26:49,680 --> 00:26:51,639 Speaker 2: about you know, they'll get like one hundred billion for 504 00:26:51,680 --> 00:26:53,560 Speaker 2: a high speed rail and it's twelve years later and 505 00:26:53,600 --> 00:26:55,199 Speaker 2: they haven't built one inch of it. How do they 506 00:26:55,240 --> 00:26:55,919 Speaker 2: get away with that? 507 00:26:57,520 --> 00:27:00,440 Speaker 9: Well, they get away with it because there have very 508 00:27:00,480 --> 00:27:04,840 Speaker 9: powerful interest construction interests that want things to do, and 509 00:27:04,880 --> 00:27:08,240 Speaker 9: we have very real needs in terms of infrastructure. But 510 00:27:08,760 --> 00:27:13,200 Speaker 9: these kinds of things are just political payoffs. You you 511 00:27:13,600 --> 00:27:17,080 Speaker 9: mentioned that train to nowhere and spending billions and billions 512 00:27:17,160 --> 00:27:20,720 Speaker 9: of dollars, and even if they ever completed a thing, 513 00:27:20,800 --> 00:27:24,040 Speaker 9: which they won't. Even if they completed it, the estimates 514 00:27:24,040 --> 00:27:26,000 Speaker 9: are you're only going to get a handful of people 515 00:27:26,119 --> 00:27:29,520 Speaker 9: using it, and so you're taking real resources created by 516 00:27:29,560 --> 00:27:32,679 Speaker 9: real people for something that does nothing, that is a 517 00:27:32,760 --> 00:27:37,120 Speaker 9: drain and diverting it for unproductive purposes and being polite here. 518 00:27:37,640 --> 00:27:40,359 Speaker 9: And I think the public is going to react against that, 519 00:27:40,520 --> 00:27:42,280 Speaker 9: and that's what we have to run against. We're not 520 00:27:42,840 --> 00:27:45,800 Speaker 9: we're not taking away safety nuts. We're just making sure 521 00:27:45,840 --> 00:27:48,200 Speaker 9: that the fraudsters are ferreted out. 522 00:27:48,560 --> 00:27:53,199 Speaker 2: Yeah, hey, Steve Forbes, voter ID. It's used everywhere. You 523 00:27:53,240 --> 00:27:54,320 Speaker 2: can't go into NBC. 524 00:27:55,840 --> 00:28:00,119 Speaker 9: Yeah, you're right about that. You got to Fox, go 525 00:28:00,160 --> 00:28:02,800 Speaker 9: to NBC or any place you have to show an ID, 526 00:28:03,240 --> 00:28:07,679 Speaker 9: not to mention getting on an airplane. And so this 527 00:28:07,800 --> 00:28:12,200 Speaker 9: whole thing that this is a great smear against voting, well, 528 00:28:12,280 --> 00:28:16,840 Speaker 9: we've states that have voter ID, like Georgia, where everyone 529 00:28:17,000 --> 00:28:19,080 Speaker 9: was saying, oh, this is going to throw hundreds of 530 00:28:19,160 --> 00:28:22,800 Speaker 9: thousands people off the rolls. You know, you've covered it. Voting, 531 00:28:23,040 --> 00:28:28,320 Speaker 9: voting went up, to turn out went up, and people 532 00:28:28,600 --> 00:28:31,040 Speaker 9: I think one of the reasons people are one of 533 00:28:31,040 --> 00:28:35,199 Speaker 9: the factors in their sour mood is no trust in 534 00:28:35,560 --> 00:28:40,440 Speaker 9: the integrity of elections. The whole thing on redistricting, that mess, 535 00:28:40,520 --> 00:28:44,120 Speaker 9: jerry mandering. People just feel the game is rigged, so 536 00:28:44,160 --> 00:28:48,000 Speaker 9: they want it's overwhelming. You've seen the polls. You've discussed them. 537 00:28:48,320 --> 00:28:53,280 Speaker 9: It's across every segment of society wants voter I D 538 00:28:53,680 --> 00:28:55,600 Speaker 9: they want honest elections. 539 00:28:55,880 --> 00:28:58,600 Speaker 2: Hey, yeah, it's a good, good point. Steve Forbes, A 540 00:28:58,640 --> 00:29:00,720 Speaker 2: long time ago, a couple of years, you about AI 541 00:29:00,760 --> 00:29:02,800 Speaker 2: and you said, you know, back then, thought it was 542 00:29:02,840 --> 00:29:04,520 Speaker 2: going to kill us, it was going to wipe us out, 543 00:29:04,560 --> 00:29:07,280 Speaker 2: it was going to take over, and you caution, you 544 00:29:07,320 --> 00:29:09,920 Speaker 2: said it's going to be fine. It's but now there's 545 00:29:09,920 --> 00:29:12,520 Speaker 2: other things I'm worried about. Apparently it takes double the 546 00:29:12,560 --> 00:29:15,720 Speaker 2: electricity we can produce in this country just to run AI. 547 00:29:16,640 --> 00:29:18,280 Speaker 2: For all the benefits, is it going to cause us 548 00:29:18,320 --> 00:29:22,040 Speaker 2: a lot of headaches too? Well, anything new like that 549 00:29:22,240 --> 00:29:25,800 Speaker 2: is going to We get the benefits, but also it 550 00:29:25,880 --> 00:29:29,720 Speaker 2: has it has repercussions, and one of them is they 551 00:29:29,760 --> 00:29:34,880 Speaker 2: are huge consumers of electricity, and the AI spending now 552 00:29:35,240 --> 00:29:39,360 Speaker 2: is far above what we might say really need because 553 00:29:39,400 --> 00:29:41,680 Speaker 2: every company feels. 554 00:29:41,320 --> 00:29:46,800 Speaker 9: Even though they there may be a temporary surplus, they 555 00:29:46,880 --> 00:29:48,360 Speaker 9: have to do it if they're going to stay in 556 00:29:48,400 --> 00:29:51,600 Speaker 9: the game. So these things are normal, they shake out. 557 00:29:51,960 --> 00:29:55,040 Speaker 9: And what it also underscores is in terms of electricity, 558 00:29:56,320 --> 00:29:59,960 Speaker 9: hopefully it leads to we can always hope, uh, Pollyanna 559 00:30:00,120 --> 00:30:04,440 Speaker 9: existed for a reason, that this will bring about reform 560 00:30:04,480 --> 00:30:07,520 Speaker 9: of the electricity grid in the US and stop cluttering 561 00:30:07,560 --> 00:30:11,800 Speaker 9: the grid, especially in California with all these renewables that 562 00:30:11,880 --> 00:30:15,840 Speaker 9: are expensive to make, and when you go on these renewables, 563 00:30:15,960 --> 00:30:20,360 Speaker 9: especially the windmills and the solar panels, from the beginning, 564 00:30:20,360 --> 00:30:24,000 Speaker 9: when you mine, when you need these special minerals, rare 565 00:30:24,080 --> 00:30:27,680 Speaker 9: earth minerals, and the refining which takes place in China 566 00:30:28,040 --> 00:30:30,440 Speaker 9: you go from, and then when you have to recycle 567 00:30:30,520 --> 00:30:35,600 Speaker 9: these things. These things don't last forever environmentally, they don't 568 00:30:35,640 --> 00:30:38,440 Speaker 9: do anything for the environment. They harm it actually at 569 00:30:38,480 --> 00:30:41,640 Speaker 9: the end of the day. So let's pull back on 570 00:30:41,760 --> 00:30:45,200 Speaker 9: these mandates. If somebody's got a good solar panel and it 571 00:30:45,320 --> 00:30:48,760 Speaker 9: makes sense, fine, but these mandates are killing the grid, 572 00:30:49,360 --> 00:30:53,680 Speaker 9: overwhelming the grid. So we've just got to make some 573 00:30:53,960 --> 00:30:56,560 Speaker 9: major reforms in what we're doing here and going to 574 00:30:56,600 --> 00:31:00,400 Speaker 9: what we know works. One is natural gas beautiful and 575 00:31:00,480 --> 00:31:04,240 Speaker 9: even though it's going to take years, nuclear power is suddenly, 576 00:31:04,360 --> 00:31:05,760 Speaker 9: oh it's clean. 577 00:31:07,360 --> 00:31:11,640 Speaker 2: Revelation. Hey, we only got a minute left. Steve Forbes, 578 00:31:11,640 --> 00:31:14,120 Speaker 2: you wrote the best book on inflation. Get his book 579 00:31:14,160 --> 00:31:17,200 Speaker 2: called inflation. So give us the scorecard. How are we 580 00:31:17,240 --> 00:31:18,480 Speaker 2: doing right now in inflation? 581 00:31:20,080 --> 00:31:24,600 Speaker 9: Well, in terms of nominal inflation, it's going up less 582 00:31:25,280 --> 00:31:29,560 Speaker 9: and there'll be some blips, but people still feel pressure 583 00:31:30,360 --> 00:31:33,560 Speaker 9: because while their wages are starting to rise again, it 584 00:31:33,600 --> 00:31:36,640 Speaker 9: hasn't had enough time and momentum for people to really 585 00:31:36,640 --> 00:31:39,440 Speaker 9: feel Okay, I'm finally getting head on the instead of 586 00:31:39,480 --> 00:31:41,960 Speaker 9: being on a treadmill. And one of the things the 587 00:31:42,040 --> 00:31:44,320 Speaker 9: Federal Reserve is sewing though, and that's why we got 588 00:31:44,360 --> 00:31:47,200 Speaker 9: to get Kevin Warsh and some other governors in there, 589 00:31:47,920 --> 00:31:48,480 Speaker 9: is that. 590 00:31:48,720 --> 00:31:50,960 Speaker 2: They're undermining the value of the dollar. 591 00:31:51,080 --> 00:31:54,200 Speaker 9: You see it against other currencies. We're a weak against 592 00:31:54,200 --> 00:31:57,480 Speaker 9: things like the British pound for crying out loud, and 593 00:31:57,600 --> 00:31:58,920 Speaker 9: they see it in the gold price. 594 00:31:59,000 --> 00:31:59,239 Speaker 2: You had. 595 00:31:59,280 --> 00:32:01,760 Speaker 9: Gold took a big hit, but it's still more than 596 00:32:01,800 --> 00:32:04,520 Speaker 9: twice what it was a couple of years ago. All 597 00:32:04,560 --> 00:32:07,160 Speaker 9: those things say the dollar is wobbly. So we've got 598 00:32:07,200 --> 00:32:10,080 Speaker 9: to go in and restore integrity and belief in the dollar. 599 00:32:10,680 --> 00:32:13,160 Speaker 9: And that's what I worry about longer term. It's not 600 00:32:13,200 --> 00:32:16,080 Speaker 9: going to affect us this year, but longer term, great 601 00:32:16,120 --> 00:32:21,120 Speaker 9: countries don't have week currencies and that destroyed George W. Bush. 602 00:32:21,160 --> 00:32:24,000 Speaker 9: They thought they could gradually weaken the dollar, and it 603 00:32:24,120 --> 00:32:26,400 Speaker 9: ended up giving us the crisis of two thousand and 604 00:32:26,400 --> 00:32:29,520 Speaker 9: eight two thousand and nine, which is still coping with today. 605 00:32:30,120 --> 00:32:34,240 Speaker 9: Good countries have good currencies, Stee. Great countries have great currencies. 606 00:32:34,680 --> 00:32:37,080 Speaker 2: Steve Forbes brilliant as always, great stuff. Make sure you 607 00:32:37,120 --> 00:32:40,200 Speaker 2: get his book Inflation. It's the best book on the subject. 608 00:32:40,320 --> 00:32:42,160 Speaker 2: All of his books are great, but get the latest book, 609 00:32:42,160 --> 00:32:45,800 Speaker 2: and of course read Forbes and read his columns. And 610 00:32:46,080 --> 00:32:49,080 Speaker 2: we'll see all over television too. Steve Forbes, thanks for 611 00:32:49,120 --> 00:32:51,840 Speaker 2: being with us. Thank you all right, take care, Hey, 612 00:32:51,880 --> 00:32:54,480 Speaker 2: don't forget Buck and Clay coming up today twelve noon. 613 00:32:55,480 --> 00:32:57,360 Speaker 2: Excellent show. In fact, they were yesterday with the name 614 00:32:57,440 --> 00:33:01,560 Speaker 2: the number one syndicated show in America, and then the 615 00:33:01,600 --> 00:33:04,520 Speaker 2: most listened to radio show in America Sean Hannity right 616 00:33:04,560 --> 00:33:06,960 Speaker 2: after that at three, Jesse Kelly at six, and the 617 00:33:07,040 --> 00:33:11,240 Speaker 2: funniest show it's on every night at nine. It's Jimmy 618 00:33:11,280 --> 00:33:16,400 Speaker 2: Fayla every night nine to midnight. Here on seven to ten, wor. 619 00:33:16,360 --> 00:33:19,920 Speaker 1: Give WR a bre said on the iHeartRadio app to 620 00:33:19,960 --> 00:33:24,360 Speaker 1: hear Mark Simone and all the WR hosts in an instance. 621 00:33:25,000 --> 00:33:29,120 Speaker 1: Now back to the Mark Simon Show on wor. 622 00:33:28,960 --> 00:33:31,360 Speaker 2: Well, Hey, coming up in the next hour, we'll get 623 00:33:31,400 --> 00:33:34,640 Speaker 2: to the police, New York City Police Department getting a 624 00:33:34,640 --> 00:33:39,320 Speaker 2: little reorganization. We'll get to the stonewall in quite a controversy. 625 00:33:39,400 --> 00:33:42,000 Speaker 2: Bruin there. You'll be hearing about this. We've got a 626 00:33:42,080 --> 00:33:43,920 Speaker 2: lot to get to in the next hour. I'm here 627 00:33:43,960 --> 00:33:47,480 Speaker 2: every day, ten to noon, or listen anytime you want. 628 00:33:47,640 --> 00:33:50,880 Speaker 2: Just get the podcast wherever you get podcasts. Back after 629 00:33:50,880 --> 00:33:52,800 Speaker 2: the News on seven to ten, wo