1 00:00:05,160 --> 00:00:10,200 Speaker 1: Live from the Heartbiner and the Crossroads of America. 2 00:00:10,560 --> 00:00:14,040 Speaker 2: It's Tony Katz Today. 3 00:00:14,600 --> 00:00:15,680 Speaker 3: Well, hi there everybody. 4 00:00:15,800 --> 00:00:19,320 Speaker 2: I am Andrew Langer in for Tony Katz today on 5 00:00:19,560 --> 00:00:22,000 Speaker 2: Tony Katz Today. So glad I can join you and 6 00:00:22,079 --> 00:00:26,040 Speaker 2: you can join me on this Monday, the Monday of Christmas, 7 00:00:26,040 --> 00:00:30,800 Speaker 2: week of the Honukkah, and of course Festivus, the festiv 8 00:00:30,840 --> 00:00:32,559 Speaker 2: Us for the rest of us, which is happening. That's 9 00:00:32,560 --> 00:00:35,040 Speaker 2: why Tony's off, by the way he is do you 10 00:00:35,120 --> 00:00:38,000 Speaker 2: celebrate Festivus or do you just observe it? I think 11 00:00:38,040 --> 00:00:40,879 Speaker 2: you observe it. Yes, there will be an airing of 12 00:00:40,920 --> 00:00:43,400 Speaker 2: grievances here on the show today. 13 00:00:43,680 --> 00:00:44,600 Speaker 3: We got a great show. 14 00:00:45,040 --> 00:00:46,440 Speaker 2: We're going to be joining them a little bit by 15 00:00:46,440 --> 00:00:49,520 Speaker 2: Andrew Wilfer from the National Taxpayers Union. He is their 16 00:00:49,640 --> 00:00:54,880 Speaker 2: expert on economic migration and how the various states are 17 00:00:54,960 --> 00:00:58,680 Speaker 2: doing how as a competitive federalism is faring in which 18 00:00:58,680 --> 00:00:59,880 Speaker 2: states are dealing with what. 19 00:01:00,040 --> 00:01:02,160 Speaker 3: Who's going where? We got Rachel Moon. 20 00:01:02,640 --> 00:01:05,440 Speaker 2: She is a conservative activist, a pro Israel activist. She's 21 00:01:05,440 --> 00:01:07,560 Speaker 2: going to be joining us. I had to cost to 22 00:01:07,600 --> 00:01:11,120 Speaker 2: meet her. Last week. We got kem Strang from Americans 23 00:01:11,120 --> 00:01:13,880 Speaker 2: for Prosperity is going to be joining us today. And 24 00:01:13,920 --> 00:01:17,399 Speaker 2: then my good buddy Tom Shatz from Citizens Against Government 25 00:01:17,440 --> 00:01:25,200 Speaker 2: Waste to talk about something fascinating happening, this entity called CMMI, 26 00:01:26,080 --> 00:01:28,759 Speaker 2: and you would be surprised, guys, you would be surprised. 27 00:01:28,760 --> 00:01:30,840 Speaker 2: Maybe you wouldn't be surprised. You might not be surprised 28 00:01:30,880 --> 00:01:33,479 Speaker 2: to learn that an entity which was set up to 29 00:01:33,880 --> 00:01:37,399 Speaker 2: save the federal taxpayers money but has actually cost the 30 00:01:37,440 --> 00:01:41,280 Speaker 2: federal taxpayers billions. If it were to be zeroed out, 31 00:01:42,120 --> 00:01:48,760 Speaker 2: CBO would score it as a negatively impacting revenue. Even 32 00:01:48,800 --> 00:01:51,640 Speaker 2: though it would save the taxpayers billions of dollars, CBO 33 00:01:51,680 --> 00:01:54,760 Speaker 2: would score it as costing taxpayers billions. We're going to 34 00:01:54,800 --> 00:01:57,800 Speaker 2: find out what the deal is with Tom Shatz in 35 00:01:57,880 --> 00:02:00,160 Speaker 2: the meantime. By the way, if you're out there and 36 00:02:00,200 --> 00:02:04,280 Speaker 2: you're getting your powerball tickets, save some for me. Please. 37 00:02:04,520 --> 00:02:07,200 Speaker 2: The powerball jackpot up to one point six billion now 38 00:02:08,240 --> 00:02:12,720 Speaker 2: because no numbers were called on Friday or Saturday Saturdays 39 00:02:12,760 --> 00:02:16,880 Speaker 2: when it was so let's go here, because the big 40 00:02:16,919 --> 00:02:19,359 Speaker 2: thing in the news over the weekend was the big 41 00:02:19,400 --> 00:02:25,080 Speaker 2: turning point USA America Fest and lots of discussion, lots 42 00:02:25,080 --> 00:02:27,880 Speaker 2: of back and forth about this. But I want to 43 00:02:27,919 --> 00:02:31,560 Speaker 2: start here, which is, of course, we had the meeting 44 00:02:31,600 --> 00:02:34,519 Speaker 2: between Erica Kirk and Candace Owen's was it last week? 45 00:02:34,600 --> 00:02:41,120 Speaker 2: Is it only last week? But Rob Schneider had some 46 00:02:41,240 --> 00:02:44,839 Speaker 2: choice words. Let's start with that. Let's go to cut 47 00:02:44,919 --> 00:02:45,640 Speaker 2: number one landing. 48 00:02:46,400 --> 00:02:50,120 Speaker 4: I just I just heard that Candace Owen has proof 49 00:02:50,639 --> 00:02:54,120 Speaker 4: that the Venezuelan boats were blown up by the Zionist. 50 00:02:53,680 --> 00:02:54,560 Speaker 2: State of Israel. 51 00:02:56,720 --> 00:02:59,680 Speaker 5: And it's true because Candace had a dream about it. 52 00:03:01,880 --> 00:03:05,680 Speaker 2: All of Cannis's dreams come true, especially the dreams she 53 00:03:05,720 --> 00:03:06,480 Speaker 2: had when she was. 54 00:03:06,440 --> 00:03:09,760 Speaker 6: A little girl about one day becoming the biggest grifter 55 00:03:09,919 --> 00:03:11,040 Speaker 6: the Internet has ever seen. 56 00:03:12,200 --> 00:03:13,359 Speaker 3: All Right, we can hit it there. 57 00:03:13,600 --> 00:03:16,720 Speaker 2: That was that's fin lessons Rob Schneider Man, I love 58 00:03:16,800 --> 00:03:19,240 Speaker 2: Rob Schneider. We need to land We need to get 59 00:03:19,280 --> 00:03:22,000 Speaker 2: Rob Schneider on the air. That was. 60 00:03:22,080 --> 00:03:23,000 Speaker 3: That was really good. 61 00:03:23,480 --> 00:03:27,760 Speaker 2: Obviously, jad Vance spoke yesterday lots of discussion about feuding 62 00:03:27,800 --> 00:03:30,920 Speaker 2: in the movement and about his comments about America as 63 00:03:30,919 --> 00:03:34,680 Speaker 2: a Christian nation. But I want to start with what 64 00:03:34,840 --> 00:03:38,480 Speaker 2: he talked about regarding the successes of the Trump administration. 65 00:03:38,560 --> 00:03:40,120 Speaker 2: And we know the President gave a speech last week. 66 00:03:40,120 --> 00:03:44,120 Speaker 2: I don't know what Tony said about it. If you 67 00:03:44,240 --> 00:03:47,360 Speaker 2: read the speech, you came away with a very different 68 00:03:48,160 --> 00:03:51,760 Speaker 2: perspective than if you watched the speech. But you know 69 00:03:52,120 --> 00:03:54,640 Speaker 2: there are there are lots to be cheering in terms 70 00:03:54,640 --> 00:03:56,840 Speaker 2: of what's going on in the American economy. 71 00:03:57,440 --> 00:03:59,560 Speaker 3: The Vice President laid it out. Let's play cut number two. 72 00:04:00,400 --> 00:04:03,040 Speaker 2: There's still so much important work to do. 73 00:04:03,120 --> 00:04:06,600 Speaker 7: My friends were barely a year into this administration, not 74 00:04:06,680 --> 00:04:09,880 Speaker 7: even a year into the administration. But I'm so proud 75 00:04:09,920 --> 00:04:13,040 Speaker 7: of the accomplishments of the President and the entire administration. 76 00:04:13,800 --> 00:04:18,000 Speaker 7: In just a year, we ended Joe Biden Kamala Harris's 77 00:04:18,000 --> 00:04:31,480 Speaker 7: border crisis. December marks seven months straight of zero releases 78 00:04:31,560 --> 00:04:40,839 Speaker 7: at the southern border. More than two point five million 79 00:04:40,880 --> 00:04:44,320 Speaker 7: illegal immigrants have left the United States, the first time 80 00:04:44,720 --> 00:04:48,799 Speaker 7: in over fifty years that we have had negative net migration. 81 00:04:49,040 --> 00:04:50,560 Speaker 2: And it's just the start. 82 00:04:54,480 --> 00:04:57,160 Speaker 7: When you restore sanity at the border, it shows up 83 00:04:57,200 --> 00:05:01,039 Speaker 7: everywhere else. Rent prices are dropping four months in a row, 84 00:05:01,080 --> 00:05:04,640 Speaker 7: and more native born Americans are working than ever before. 85 00:05:05,520 --> 00:05:09,240 Speaker 7: Kamala Harrison opened the border and destroyed the economy. The 86 00:05:09,320 --> 00:05:13,640 Speaker 7: Trump administration gave you net negative migration and much more 87 00:05:13,960 --> 00:05:14,640 Speaker 7: job creation. 88 00:05:18,200 --> 00:05:21,960 Speaker 2: We can end it there, and so much stems from that, 89 00:05:23,120 --> 00:05:26,120 Speaker 2: and there's a lot there some more discussion as to 90 00:05:26,839 --> 00:05:29,200 Speaker 2: you know, something land and I hate to jump down, 91 00:05:29,760 --> 00:05:32,760 Speaker 2: but let's go down if you can. To cut number 92 00:05:32,760 --> 00:05:35,440 Speaker 2: twenty three. Here's Kevin Hassett from the National Economics Council. 93 00:05:36,080 --> 00:05:39,520 Speaker 2: Here he is talking about the Bidenomics mess. Let's play 94 00:05:39,520 --> 00:05:40,520 Speaker 2: cut number twenty three if. 95 00:05:40,400 --> 00:05:44,200 Speaker 8: You would well already what we've seen is after four 96 00:05:44,279 --> 00:05:47,560 Speaker 8: years under the Biden administration, where real incomes went down 97 00:05:47,600 --> 00:05:50,279 Speaker 8: by three thousand dollars for the typical family, they've gone 98 00:05:50,320 --> 00:05:53,320 Speaker 8: up by thirteen hundred dollars this year. Now, it doesn't 99 00:05:53,320 --> 00:05:56,320 Speaker 8: mean that you know, Biden dig he really dug a 100 00:05:56,320 --> 00:05:59,520 Speaker 8: big hole. Doesn't mean that we've fixed all the problems 101 00:05:59,560 --> 00:06:02,240 Speaker 8: that Joe by and created, but were making great progress. 102 00:06:02,240 --> 00:06:04,000 Speaker 8: And one of the things that I think I really 103 00:06:04,120 --> 00:06:07,279 Speaker 8: liked most about the President's speeches this week, but I'm biased, 104 00:06:07,279 --> 00:06:08,880 Speaker 8: I'm an economist, is he put up a lot of 105 00:06:08,960 --> 00:06:11,960 Speaker 8: charts to show people like why they should truly believe 106 00:06:12,000 --> 00:06:14,320 Speaker 8: that we're going to make lots of progress out affordability. So, 107 00:06:14,360 --> 00:06:16,960 Speaker 8: for example, he put up a chart that showed all 108 00:06:17,000 --> 00:06:20,880 Speaker 8: the electric power generation plants that we've approved that it'll 109 00:06:20,920 --> 00:06:22,800 Speaker 8: be in place over the next year or two. And 110 00:06:22,839 --> 00:06:24,880 Speaker 8: he had a big map in the United States and 111 00:06:25,000 --> 00:06:28,279 Speaker 8: showed like I think it was sixteen hundred new power plants, 112 00:06:28,320 --> 00:06:30,720 Speaker 8: which is like, that's how you get electricity prices down, right, 113 00:06:30,800 --> 00:06:33,039 Speaker 8: So you don't just talk about it all right, let me. 114 00:06:33,040 --> 00:06:33,640 Speaker 3: Get into there. 115 00:06:34,000 --> 00:06:37,000 Speaker 2: That is how you would normally get electricity prices down. 116 00:06:37,800 --> 00:06:40,600 Speaker 2: But one of the real concerns that I have moving 117 00:06:40,640 --> 00:06:45,880 Speaker 2: forward is how many of these states have rate setting 118 00:06:46,000 --> 00:06:49,720 Speaker 2: agencies that set the electric power rates, and how many 119 00:06:49,760 --> 00:06:53,240 Speaker 2: of those states are in you know, are democratically controlled. 120 00:06:53,240 --> 00:06:57,920 Speaker 2: How many of these rate setting boards are democratically controlled, 121 00:06:58,480 --> 00:07:01,000 Speaker 2: Because what the Vice President was talking about and what 122 00:07:01,080 --> 00:07:04,120 Speaker 2: Kevin Hassett was talking about, it really is and this 123 00:07:04,160 --> 00:07:07,000 Speaker 2: is going to sound like tinfoil hat conspiracy theorizing, and 124 00:07:07,040 --> 00:07:09,760 Speaker 2: it's not. I mean, this is this is not me 125 00:07:09,800 --> 00:07:11,960 Speaker 2: sort of talking about people in smokefield rooms sort of 126 00:07:12,000 --> 00:07:15,960 Speaker 2: making decisions. This is just about decisions that were being 127 00:07:16,000 --> 00:07:19,760 Speaker 2: made by the Biden administration and Democrats generally, and what 128 00:07:19,920 --> 00:07:23,920 Speaker 2: happens what happens, you know, with the American economy when 129 00:07:24,000 --> 00:07:27,840 Speaker 2: you kill nearly one hundred million if not over one 130 00:07:27,880 --> 00:07:31,080 Speaker 2: hundred million chickens, which is what happened in the waning 131 00:07:31,160 --> 00:07:34,640 Speaker 2: days of the Biden administration. Both chicken and egg prices. 132 00:07:34,720 --> 00:07:37,040 Speaker 2: I'm not making a pun here. Both chicken and egg 133 00:07:37,080 --> 00:07:41,720 Speaker 2: prices skyrocket, that's what we saw. And both prices are 134 00:07:41,720 --> 00:07:44,720 Speaker 2: coming down. Why because we're not killing tens of millions, 135 00:07:44,760 --> 00:07:47,000 Speaker 2: if not out more than one hundred million chickens at 136 00:07:47,040 --> 00:07:51,760 Speaker 2: a time. When you extract more gas, when you refine 137 00:07:51,800 --> 00:07:56,280 Speaker 2: more gas, when you signal to the petrochemical industry that 138 00:07:56,440 --> 00:07:58,160 Speaker 2: more gas is going to be coming in and it's 139 00:07:58,200 --> 00:08:02,040 Speaker 2: going to be easier to refine that gas, then gas 140 00:08:02,080 --> 00:08:04,520 Speaker 2: prices are going to come down. I don't know how 141 00:08:04,560 --> 00:08:07,320 Speaker 2: much a cost where you are. I know where I 142 00:08:07,360 --> 00:08:09,840 Speaker 2: am and the particular brand of gas that I buy. 143 00:08:10,920 --> 00:08:14,920 Speaker 2: You know, I buy an ethanol blended eighty eight octane 144 00:08:14,920 --> 00:08:19,600 Speaker 2: gas at a with a regional chain. I paid two 145 00:08:19,720 --> 00:08:22,640 Speaker 2: twenty nine a gallon when I filled up my tank 146 00:08:22,680 --> 00:08:27,160 Speaker 2: on Saturday. That is that is astounding, and I know 147 00:08:27,280 --> 00:08:32,360 Speaker 2: regular gasoline is slightly higher than that. At this particular 148 00:08:32,400 --> 00:08:35,080 Speaker 2: gas station, it was I want to say, in the 149 00:08:35,120 --> 00:08:38,600 Speaker 2: two fifty range, but what do they say? Forty three 150 00:08:38,640 --> 00:08:42,840 Speaker 2: states out of fifty have gasoline under three dollars a gallon. 151 00:08:44,520 --> 00:08:49,120 Speaker 2: These things have an impact, and we have to be 152 00:08:49,160 --> 00:08:52,040 Speaker 2: talking about it. And what what I what you know? 153 00:08:53,160 --> 00:08:57,439 Speaker 2: The converse to what Joe Biden warned way way back when. 154 00:08:57,480 --> 00:09:01,280 Speaker 2: Remember Joe Biden at one point was arping in the 155 00:09:01,280 --> 00:09:04,280 Speaker 2: way Joe Biden would carp was carping about people being 156 00:09:04,320 --> 00:09:07,840 Speaker 2: able to drive down the road and see gas prices 157 00:09:07,920 --> 00:09:11,360 Speaker 2: on the big signs of the gas station. I wish 158 00:09:11,360 --> 00:09:14,400 Speaker 2: people couldn't see that, right because it's a constant reminder 159 00:09:14,760 --> 00:09:17,400 Speaker 2: of how Joe Biden and Kamala Harris were messing up 160 00:09:17,400 --> 00:09:22,480 Speaker 2: the economy. The converse is largely true. People know when 161 00:09:22,480 --> 00:09:26,959 Speaker 2: they go to the pump and they see less expensive gas. 162 00:09:28,000 --> 00:09:31,360 Speaker 2: That has an impact, even if they're being told that 163 00:09:31,400 --> 00:09:33,920 Speaker 2: things are not right with the economy. And then there 164 00:09:33,960 --> 00:09:37,760 Speaker 2: are ripple effects that happen. As the Vice President said, 165 00:09:37,760 --> 00:09:41,959 Speaker 2: as Kevin Hast said, real wages are going up, rents 166 00:09:42,080 --> 00:09:43,079 Speaker 2: are coming down. 167 00:09:43,559 --> 00:09:44,640 Speaker 3: As we deal with the. 168 00:09:44,559 --> 00:09:48,800 Speaker 2: Permitting issues and the ability to source materials for building 169 00:09:48,800 --> 00:09:51,720 Speaker 2: here in the United States, the cost of building housing 170 00:09:51,800 --> 00:09:54,440 Speaker 2: is going to come down. I just file comments with 171 00:09:54,440 --> 00:09:56,960 Speaker 2: an agency about them. We're going to continue to have 172 00:09:57,040 --> 00:09:59,960 Speaker 2: this discussion because I want to talk about something, really 173 00:10:00,440 --> 00:10:04,840 Speaker 2: talk about conspiracy theorizing. I want to talk about something. 174 00:10:04,920 --> 00:10:09,480 Speaker 2: Jasmine Crockett the right now, the presumptive Democratic nominee for 175 00:10:09,640 --> 00:10:13,600 Speaker 2: Senate in Texas. She had a whopper of a conspiracy 176 00:10:13,640 --> 00:10:16,160 Speaker 2: theory over the weekend in the wake of the Vice 177 00:10:16,160 --> 00:10:19,320 Speaker 2: President's speech. I want to hear from you. Facebook dot com, 178 00:10:19,320 --> 00:10:21,960 Speaker 2: slash Andrew Langer shows how you get a hold of me. 179 00:10:22,840 --> 00:10:26,880 Speaker 2: You can also call us here if you want no, 180 00:10:27,080 --> 00:10:28,520 Speaker 2: you know something, I don't have the number here, handy, 181 00:10:28,600 --> 00:10:30,920 Speaker 2: let me let me here we go, But you can 182 00:10:31,000 --> 00:10:33,720 Speaker 2: message me on Facebook, Facebook dot com, slash Andrew Langer show. 183 00:10:33,840 --> 00:10:35,080 Speaker 3: You can add me on Twitter. 184 00:10:35,160 --> 00:10:38,400 Speaker 2: I still call it Twitter at Andrew Underscore Langer. I 185 00:10:38,400 --> 00:10:40,280 Speaker 2: am Andrew Langer, and this is Tony Katz. 186 00:10:40,280 --> 00:10:40,559 Speaker 3: Today. 187 00:10:40,720 --> 00:10:43,400 Speaker 2: We are back. I am Andrew Langer and for Tony 188 00:10:43,480 --> 00:10:47,959 Speaker 2: Katz today. Happy Hanaka to all who celebrate, Happy Festivus, 189 00:10:47,960 --> 00:10:50,760 Speaker 2: for those of you who trying to noodle through exactly 190 00:10:50,800 --> 00:10:54,360 Speaker 2: how you celebrate festivals. And of course it's Christmas. You 191 00:10:54,400 --> 00:10:56,080 Speaker 2: know I meant to I'm mental and I meant to 192 00:10:56,080 --> 00:10:58,600 Speaker 2: send you Christmas music. Tomorrow I will have Christmas music 193 00:10:58,679 --> 00:11:01,040 Speaker 2: for you, because I've got a whole I got a 194 00:11:01,040 --> 00:11:04,280 Speaker 2: whole list of fun stuff that I want to play 195 00:11:04,520 --> 00:11:06,960 Speaker 2: in any case, I'm Andrew Langer in for Tony Kats today, 196 00:11:07,040 --> 00:11:08,439 Speaker 2: going to be joining in a couple of minutes by 197 00:11:08,440 --> 00:11:11,599 Speaker 2: Andrew Wilford from the National Taxpayers Union. He's director of 198 00:11:11,640 --> 00:11:15,360 Speaker 2: their Interstate Commerce Initiative. But I want to go here. 199 00:11:15,600 --> 00:11:18,160 Speaker 2: So obviously, as we've been talking about, you probably watched 200 00:11:18,160 --> 00:11:20,319 Speaker 2: a lot of it over the weekend. Turning Point USA 201 00:11:21,000 --> 00:11:23,360 Speaker 2: had their America Fest. I was not out there. I 202 00:11:23,360 --> 00:11:26,640 Speaker 2: had way too much policy work to do. If you 203 00:11:26,679 --> 00:11:29,800 Speaker 2: don't know, I wear a hat. I do policy work 204 00:11:29,840 --> 00:11:32,559 Speaker 2: for SEAPAC, the folks who put the big conference on 205 00:11:32,720 --> 00:11:36,840 Speaker 2: every year. Next Seapack happening in Dallas in late March. 206 00:11:37,160 --> 00:11:40,280 Speaker 2: I do healthcare policy, regulatory policy, and it's a busy 207 00:11:40,360 --> 00:11:44,200 Speaker 2: time of the year getting stuff done, you know, even 208 00:11:44,240 --> 00:11:46,640 Speaker 2: though it's the holiday week. I got three different sets 209 00:11:46,679 --> 00:11:50,360 Speaker 2: of regulatory comments to file, so I've been working on those, 210 00:11:50,720 --> 00:11:55,720 Speaker 2: so I couldn't get out to the TPUSA event. It 211 00:11:55,880 --> 00:12:01,000 Speaker 2: looked just incredible, I really really is. The the production. 212 00:12:01,200 --> 00:12:02,319 Speaker 2: The production values. 213 00:12:02,040 --> 00:12:03,480 Speaker 3: Were very high. 214 00:12:03,720 --> 00:12:06,320 Speaker 2: The vice president capped it off, I will get into 215 00:12:06,400 --> 00:12:09,560 Speaker 2: what you don junior playing the message from President Trump. 216 00:12:10,160 --> 00:12:12,920 Speaker 2: But Vice President Vance had this to say, let's play 217 00:12:12,920 --> 00:12:19,680 Speaker 2: cut number three. But ask yourself, what do all. 218 00:12:19,480 --> 00:12:22,720 Speaker 7: Of these people have in common? And the unfortunate answer 219 00:12:23,120 --> 00:12:26,280 Speaker 7: is they are puppets. They don't actually matter. They are 220 00:12:26,400 --> 00:12:30,199 Speaker 7: cogs in a machine that wants to make you poor, 221 00:12:30,400 --> 00:12:33,480 Speaker 7: that wants to make you less powerful, and wants to 222 00:12:33,520 --> 00:12:37,079 Speaker 7: make you less safe in the country your ancestors built. 223 00:12:37,800 --> 00:12:39,680 Speaker 7: And while President Trump and I are doing. 224 00:12:39,600 --> 00:12:44,000 Speaker 2: Every you can landon. So yeah, so he's saying the Democrats, 225 00:12:44,040 --> 00:12:46,439 Speaker 2: and it gets into what I'm saying, right if if 226 00:12:46,559 --> 00:12:49,400 Speaker 2: the Democrats, it's basic what they call. 227 00:12:49,640 --> 00:12:51,520 Speaker 3: Marxist or Hegelian dialectic. 228 00:12:52,080 --> 00:12:55,320 Speaker 2: You create a problem, you exacerbate the problem, and then 229 00:12:55,400 --> 00:12:59,800 Speaker 2: government becomes the solution. Right, you make the streets less safe. 230 00:13:00,400 --> 00:13:02,520 Speaker 2: So now we have to take away your guns. Now 231 00:13:02,600 --> 00:13:04,120 Speaker 2: we have to do this. Now we have to do that. 232 00:13:04,240 --> 00:13:06,720 Speaker 2: We're not empowering people to act on their own behalf. 233 00:13:07,360 --> 00:13:10,640 Speaker 2: We make things more expensive, therefore we need to subsidize 234 00:13:10,679 --> 00:13:13,079 Speaker 2: it elsewhere. I got a big problem with that, regardless 235 00:13:13,240 --> 00:13:15,360 Speaker 2: of who does it. By the way, so he calls 236 00:13:15,400 --> 00:13:20,920 Speaker 2: Democrats cogs, he calls them puppets. Jasmine Crockett didn't like that. 237 00:13:21,280 --> 00:13:24,560 Speaker 2: She was on M Snow. By the way, you know MSNBC, 238 00:13:24,800 --> 00:13:29,319 Speaker 2: or some folks called ms DNC, MSNBC is now ms now. 239 00:13:29,559 --> 00:13:32,280 Speaker 2: I call it M snow just because it's a very 240 00:13:32,320 --> 00:13:35,400 Speaker 2: strange ms now. I call it M Snow. So Jasua 241 00:13:35,480 --> 00:13:38,559 Speaker 2: Crockett was on M Snow and she had this to say, 242 00:13:38,640 --> 00:13:40,040 Speaker 2: let's go ahead and play cut number four. 243 00:13:40,600 --> 00:13:43,040 Speaker 9: And that is actually what they are fearful of, is 244 00:13:43,120 --> 00:13:46,920 Speaker 9: my authenticity because it rings true with every single American, 245 00:13:46,960 --> 00:13:49,640 Speaker 9: whether they're a Texan or not. It rings true that 246 00:13:49,720 --> 00:13:53,000 Speaker 9: I am fighting for real, everyday people. And instead of 247 00:13:53,040 --> 00:13:55,679 Speaker 9: talking about policy, when you're talking about the record speaks 248 00:13:55,720 --> 00:13:58,720 Speaker 9: for itself. Baby, Let's talk about your record, because the 249 00:13:58,840 --> 00:14:01,280 Speaker 9: only reason you're the vice president is because the current 250 00:14:01,320 --> 00:14:04,040 Speaker 9: president tried to have his last president killed. 251 00:14:04,400 --> 00:14:06,280 Speaker 10: Let's talk about qualifications. 252 00:14:07,080 --> 00:14:11,679 Speaker 2: She said, what I mean, I just I sat there 253 00:14:11,679 --> 00:14:13,320 Speaker 2: and I heard this, and I'm like, Okay, we're gonna go. 254 00:14:13,360 --> 00:14:15,160 Speaker 2: We can talk about Jasmin Crockett. By the way, if 255 00:14:15,160 --> 00:14:17,800 Speaker 2: you don't know, Jasmin Crockett is a Democratic Member of 256 00:14:17,800 --> 00:14:21,560 Speaker 2: Congress from Texas. She is running for the US Senate 257 00:14:21,640 --> 00:14:26,240 Speaker 2: in Texas as I said on Newsmax the other day, 258 00:14:27,000 --> 00:14:29,760 Speaker 2: she's like Beto O'Rourke without all the mass appeal. 259 00:14:30,720 --> 00:14:31,080 Speaker 3: Nobody. 260 00:14:31,160 --> 00:14:34,359 Speaker 2: By the way, Congresswoman of Crockett is talking about your authenticity, 261 00:14:34,680 --> 00:14:38,800 Speaker 2: especially when accent changes depending on which audience you're talking to. 262 00:14:39,240 --> 00:14:40,840 Speaker 2: But Lindon, I want you to play that again. I 263 00:14:40,880 --> 00:14:42,760 Speaker 2: want you to hear what she's saying. So she's going 264 00:14:42,800 --> 00:14:48,160 Speaker 2: after Vice President Vance his comments at turning point, talking 265 00:14:48,200 --> 00:14:54,200 Speaker 2: about the successes of the Trump presidency Trump two. But 266 00:14:54,320 --> 00:14:56,840 Speaker 2: then she gets in a very strange thing. Let's play 267 00:14:56,880 --> 00:14:57,680 Speaker 2: cut number four again. 268 00:14:58,120 --> 00:15:00,600 Speaker 9: And that is actually what they are fearful of, is 269 00:15:00,640 --> 00:15:04,440 Speaker 9: my authenticity because it rings true with every single American, 270 00:15:04,480 --> 00:15:05,720 Speaker 9: whether they're a Texan or not. 271 00:15:06,280 --> 00:15:07,480 Speaker 10: It rings true that I. 272 00:15:07,400 --> 00:15:10,840 Speaker 9: Am fighting for real, everyday people. And instead of talking 273 00:15:10,840 --> 00:15:14,400 Speaker 9: about policy, when you're talking about the record, speaks for yourself. Baby, 274 00:15:14,440 --> 00:15:17,080 Speaker 9: Let's talk about your record, because the only reason you're 275 00:15:17,120 --> 00:15:20,000 Speaker 9: the vice president is because the current president tried to 276 00:15:20,040 --> 00:15:21,560 Speaker 9: have his last president killed. 277 00:15:21,920 --> 00:15:23,720 Speaker 10: Let's talk about qualifications. 278 00:15:25,560 --> 00:15:27,160 Speaker 3: I don't even Here's the thing, right. 279 00:15:27,360 --> 00:15:31,800 Speaker 2: Sometimes sometimes you can kind of noodle through and figure 280 00:15:31,840 --> 00:15:37,320 Speaker 2: out what event she's talking about. We know, you know, 281 00:15:37,720 --> 00:15:40,280 Speaker 2: Frankly to help drop for right, right, Lisa was looking 282 00:15:40,320 --> 00:15:45,640 Speaker 2: at looking at investigating the Biden family for corruption. Absolutely true. 283 00:15:46,200 --> 00:15:49,480 Speaker 2: We know that the President has called for an investigation 284 00:15:49,560 --> 00:15:55,480 Speaker 2: into various people who are serving to actively undermine the military, 285 00:15:56,000 --> 00:15:58,600 Speaker 2: and one can discuss whether or not that is trees 286 00:15:58,640 --> 00:16:01,000 Speaker 2: in this activity. I don't think treason this per se, 287 00:16:01,600 --> 00:16:04,640 Speaker 2: but we can have that discussion. But I don't think 288 00:16:04,720 --> 00:16:09,080 Speaker 2: there's been any moment where Donald Trump. Now, remember Joe 289 00:16:09,120 --> 00:16:12,800 Speaker 2: Biden threatened multiple times. You know, we're we're constantly talking 290 00:16:12,800 --> 00:16:17,120 Speaker 2: about talking about taking Donald Trump out behind the school 291 00:16:17,160 --> 00:16:21,360 Speaker 2: and the schoolyard and punching him in the nose, stirring 292 00:16:21,440 --> 00:16:27,440 Speaker 2: this climate of violence against Donald Trump, who incidentally, there 293 00:16:27,440 --> 00:16:31,360 Speaker 2: were two assassination attempts against Donald Trump during the twenty 294 00:16:31,400 --> 00:16:37,920 Speaker 2: twenty four campaign. So I genuinely have no idea what 295 00:16:38,560 --> 00:16:45,080 Speaker 2: Jasmine Crockett is referring to in that statement President Trump 296 00:16:45,080 --> 00:16:46,360 Speaker 2: tried to have Bud Joe Biden killed. 297 00:16:46,400 --> 00:16:50,480 Speaker 3: What he please to explain what. 298 00:16:50,320 --> 00:16:53,720 Speaker 2: That means, And of course m snow the ms now 299 00:16:54,760 --> 00:16:57,160 Speaker 2: didn't follow up by saying wait, wait, wait time out 300 00:16:57,200 --> 00:17:00,560 Speaker 2: for a second. You know, we've got Rob Schneider asking 301 00:17:00,600 --> 00:17:04,040 Speaker 2: about Candie Owens and other people asking about Candas Owens 302 00:17:04,240 --> 00:17:08,040 Speaker 2: and her conspiracy theories regarding the assassination of of of 303 00:17:08,840 --> 00:17:12,560 Speaker 2: Charlie Kirk. But you know, you've now made a whopper, 304 00:17:13,320 --> 00:17:17,800 Speaker 2: a whopper of an accusation against Donald Trump that he 305 00:17:17,960 --> 00:17:21,000 Speaker 2: tried to have was working to have Joe Biden killed. 306 00:17:23,200 --> 00:17:25,320 Speaker 2: And I'm not gonna play the whole thing a third time, 307 00:17:25,600 --> 00:17:27,639 Speaker 2: but I want you to hear something else that she said. 308 00:17:28,640 --> 00:17:32,000 Speaker 2: Let's we may get more into this tomorrow too, but Landon, 309 00:17:32,000 --> 00:17:33,200 Speaker 2: I want you to play it one more time, play 310 00:17:33,240 --> 00:17:34,639 Speaker 2: Cup four one more time for me, please. 311 00:17:35,200 --> 00:17:37,679 Speaker 9: And that is actually what they are fearful of is 312 00:17:37,720 --> 00:17:41,120 Speaker 9: my authenticity because it rings true with every single. 313 00:17:40,960 --> 00:17:44,159 Speaker 2: Part mare stop it there what they're they're they're scared 314 00:17:44,200 --> 00:17:47,159 Speaker 2: of my authenticity. You know, this is something that the 315 00:17:47,280 --> 00:17:50,679 Speaker 2: Democrats and it's not just Jasmine Crockett have used this 316 00:17:50,720 --> 00:17:53,320 Speaker 2: for Oh man, they opposed me because they're scared of X, 317 00:17:53,440 --> 00:17:53,800 Speaker 2: Y and Z. 318 00:17:54,119 --> 00:17:54,280 Speaker 3: Right. 319 00:17:54,320 --> 00:17:56,560 Speaker 2: This was Tim Wallas a couple of weeks ago. Oh 320 00:17:56,600 --> 00:18:02,160 Speaker 2: they're threatened by my masculinity. No, Tim Walls. No, we're 321 00:18:02,160 --> 00:18:03,879 Speaker 2: going to get into Tim Walls and what's going on 322 00:18:03,920 --> 00:18:07,919 Speaker 2: in Minnesota in a minute. Nobody is threatened by your masculinity. 323 00:18:07,960 --> 00:18:10,840 Speaker 2: Nobody is threatened by your masculinity last year when you 324 00:18:10,840 --> 00:18:13,639 Speaker 2: were running for Vice president of the United States. Certainly 325 00:18:13,720 --> 00:18:16,960 Speaker 2: nobody's been threatened by your masculinity when you were in Congress, 326 00:18:17,040 --> 00:18:19,239 Speaker 2: or threatened by your masculinity when you were when you 327 00:18:19,240 --> 00:18:23,640 Speaker 2: were running for governor. No, JASMC. Crockett, nobody is threatened 328 00:18:23,640 --> 00:18:27,920 Speaker 2: by your your authenticity. We are threatened by your by 329 00:18:27,960 --> 00:18:32,200 Speaker 2: your stupidity. With Tim Walls, we're threatened by his, by 330 00:18:32,359 --> 00:18:37,440 Speaker 2: by his well, frankly, by his corruption. You know, I mean, 331 00:18:37,480 --> 00:18:39,880 Speaker 2: this was this was the situation. I mean, yeah, he's 332 00:18:39,960 --> 00:18:45,800 Speaker 2: an idiot that that's absolutely true, without a doubt. But 333 00:18:46,280 --> 00:18:48,800 Speaker 2: he was responsible, and we're going to get into this. 334 00:18:48,880 --> 00:18:53,680 Speaker 2: As I said, he his administration turned a blind eye 335 00:18:54,000 --> 00:18:59,000 Speaker 2: towards rampant corruption, the rampant fleecing of both the Minnesota 336 00:18:59,359 --> 00:19:03,000 Speaker 2: and the American taxpayer billions of dollars in taxpayer money, 337 00:19:03,359 --> 00:19:06,440 Speaker 2: whether it's three billion, whether it's nine billion, either way, 338 00:19:07,520 --> 00:19:11,560 Speaker 2: Tim Walls was made aware of this corruption and turned 339 00:19:11,560 --> 00:19:17,960 Speaker 2: a blind eye. Nobody's asked how many times Tim Walls 340 00:19:18,000 --> 00:19:21,040 Speaker 2: go to China? What happened when he was a Joe? 341 00:19:21,040 --> 00:19:26,639 Speaker 2: Why is Tim Walls. Why does he love China so much? No, 342 00:19:26,720 --> 00:19:29,720 Speaker 2: we're not threatened by your masculinity, Jasmine Crockett. We're not 343 00:19:29,840 --> 00:19:34,440 Speaker 2: threatened by your authenticity because you're just not authentic. Listen, 344 00:19:34,480 --> 00:19:38,440 Speaker 2: when we come back, Andrew Wilford from the National Taxpayers. 345 00:19:38,000 --> 00:19:40,040 Speaker 3: Union is going to be joining us. I am Andrew 346 00:19:40,119 --> 00:19:40,720 Speaker 3: Langer in for. 347 00:19:40,800 --> 00:19:43,720 Speaker 2: Tony Kats today, and this, of course is Tony Gats Today. 348 00:19:43,920 --> 00:19:48,960 Speaker 2: So as we're talking about the economy and what's going 349 00:19:49,000 --> 00:19:52,240 Speaker 2: on in the country, obviously lots of changes happening at 350 00:19:52,280 --> 00:19:55,840 Speaker 2: the state level. We're talking about the states as laboratories 351 00:19:55,880 --> 00:20:00,600 Speaker 2: of democracy. It's the concept of competitive federalism. People can 352 00:20:00,640 --> 00:20:04,160 Speaker 2: make changes, States can make changes to attract, sometimes they 353 00:20:04,240 --> 00:20:06,360 Speaker 2: repel people. Joining us right now is a guy named 354 00:20:06,400 --> 00:20:10,000 Speaker 2: Andrew Wilford. He is the director of the Interstate Commerce Initiative. 355 00:20:10,280 --> 00:20:11,879 Speaker 2: I love that name, by the way, at the National 356 00:20:11,920 --> 00:20:17,080 Speaker 2: Taxpayers Union, yet another great, great thing, you guys, Pete 357 00:20:17,160 --> 00:20:21,200 Speaker 2: sepp Is is heading up. It sounds like a part 358 00:20:21,240 --> 00:20:24,840 Speaker 2: of the Marvel Universe, the Interstate Commerce Initiative. Andrew, talk 359 00:20:24,880 --> 00:20:26,720 Speaker 2: to us about about what's going on. Talk to us 360 00:20:26,720 --> 00:20:29,040 Speaker 2: about the initiative, but talk to us about what's going 361 00:20:29,080 --> 00:20:29,840 Speaker 2: on in these states. 362 00:20:31,440 --> 00:20:33,679 Speaker 4: Yeah, I don't know if we're as exciting as the 363 00:20:33,680 --> 00:20:34,919 Speaker 4: Marvel Universe. 364 00:20:34,600 --> 00:20:35,560 Speaker 2: But are you kidding? 365 00:20:35,920 --> 00:20:41,280 Speaker 4: It's great, man, certainly some you know, some very revealing 366 00:20:41,560 --> 00:20:45,879 Speaker 4: things we're finding. So the Slaves Report, we're looking at 367 00:20:45,960 --> 00:20:50,520 Speaker 4: how frequently tax payers move from one state to another, 368 00:20:50,560 --> 00:20:55,199 Speaker 4: in which states they're they're they're going towards. And you know, 369 00:20:55,240 --> 00:20:56,919 Speaker 4: we tried to put it in a more sort of 370 00:20:56,960 --> 00:21:00,280 Speaker 4: accessible way of thinking about this because you can, you know, 371 00:21:00,320 --> 00:21:02,600 Speaker 4: you can see large numbers and see hundreds of thousand 372 00:21:02,640 --> 00:21:04,120 Speaker 4: and tens of thousands of people are moving. 373 00:21:04,119 --> 00:21:04,800 Speaker 2: What does that mean? 374 00:21:06,119 --> 00:21:07,720 Speaker 4: And in this case, you know, we found in the 375 00:21:07,720 --> 00:21:10,840 Speaker 4: states like California and New York are losing a taxpayer 376 00:21:11,200 --> 00:21:15,320 Speaker 4: about every two minutes. Well, Florida is gaining one in 377 00:21:15,320 --> 00:21:15,879 Speaker 4: that period. 378 00:21:15,920 --> 00:21:17,040 Speaker 5: And I should note. 379 00:21:16,920 --> 00:21:21,480 Speaker 4: That that's counting, that's counting moves the other direction. So, right, 380 00:21:21,920 --> 00:21:24,199 Speaker 4: it's not just how often someone's leaving California, it's how 381 00:21:24,240 --> 00:21:27,920 Speaker 4: often someone's leaving California, even after you factor factor in people. 382 00:21:27,600 --> 00:21:33,240 Speaker 2: Coming right, right, It's the issue of net versus gross right, right, yeah, right, 383 00:21:33,320 --> 00:21:36,440 Speaker 2: because you can have two hundred thousand people move into 384 00:21:36,440 --> 00:21:38,399 Speaker 2: a state. Hey, we'll look at this, two hundred thousand 385 00:21:38,400 --> 00:21:41,119 Speaker 2: people move to California, but if three hundred thousand left, 386 00:21:41,760 --> 00:21:44,720 Speaker 2: that's that's it's a net loss. And I know it's 387 00:21:44,720 --> 00:21:47,840 Speaker 2: more than that. I mean, we're not surprised at this. 388 00:21:47,960 --> 00:21:49,000 Speaker 2: We've been talking about it. 389 00:21:49,119 --> 00:21:49,440 Speaker 3: What is it? 390 00:21:49,640 --> 00:21:53,200 Speaker 2: U haul does their annual survey of this in terms 391 00:21:53,200 --> 00:21:54,200 Speaker 2: of U haul rentals? 392 00:21:54,440 --> 00:21:57,600 Speaker 3: Do we know? Are you guys charting? You know where 393 00:21:57,600 --> 00:21:58,119 Speaker 3: they're going? 394 00:21:58,119 --> 00:22:01,840 Speaker 2: For like, like when California lose somebody, they're going to Arizona, 395 00:22:01,880 --> 00:22:03,960 Speaker 2: They're going to Nevada. Where are they going? Same thing 396 00:22:03,960 --> 00:22:05,600 Speaker 2: with New I mean, obviously we can make the joke 397 00:22:05,600 --> 00:22:07,560 Speaker 2: about New York and Florida, but do we know where 398 00:22:07,560 --> 00:22:09,879 Speaker 2: they're all going? Yeah? 399 00:22:09,920 --> 00:22:12,639 Speaker 4: We do, and you know we have that state by 400 00:22:12,720 --> 00:22:18,240 Speaker 4: state on the broader sense. I mean, the states they're 401 00:22:18,240 --> 00:22:20,760 Speaker 4: all leaving and the states are all going. The top 402 00:22:20,800 --> 00:22:23,840 Speaker 4: ones kind of appear no matter what state you're looking at. 403 00:22:23,920 --> 00:22:27,359 Speaker 4: So sure, for California, the top states are going to 404 00:22:27,400 --> 00:22:30,800 Speaker 4: our Texas and Florida. It's not you know, I mean 405 00:22:30,840 --> 00:22:33,479 Speaker 4: a lot of them go to Arizona, but the Texas 406 00:22:33,560 --> 00:22:37,560 Speaker 4: and Florida still clearly end up being the biggest destinations 407 00:22:38,200 --> 00:22:40,040 Speaker 4: and the same is true for New York, so halfway 408 00:22:40,040 --> 00:22:40,800 Speaker 4: across the country. 409 00:22:41,520 --> 00:22:43,679 Speaker 3: It's all the way across the country, right. 410 00:22:43,880 --> 00:22:48,320 Speaker 2: And so the problem then becomes the issue of people 411 00:22:48,440 --> 00:22:52,879 Speaker 2: fleeing bad policies and bad policy outcomes in states like 412 00:22:52,920 --> 00:22:56,440 Speaker 2: New York, but then taking those bad policies with them 413 00:22:56,480 --> 00:22:59,440 Speaker 2: when they go to the new state, you know, And 414 00:22:59,560 --> 00:23:03,560 Speaker 2: this accounts in some way for some of the shifting 415 00:23:03,720 --> 00:23:07,280 Speaker 2: you know, marginally red states that are now turning purple. 416 00:23:07,359 --> 00:23:09,760 Speaker 2: I mean, Virginia is a really good example. It's not just, 417 00:23:09,880 --> 00:23:13,520 Speaker 2: for instance, it's not just that we have the federal 418 00:23:13,560 --> 00:23:16,000 Speaker 2: government you know in DC right there and so many 419 00:23:16,000 --> 00:23:19,560 Speaker 2: federal agencies in northern Virginia. But elsewhere in Virginia, you're 420 00:23:19,600 --> 00:23:25,000 Speaker 2: seeing the climate, the political climate shift as more folks 421 00:23:25,040 --> 00:23:28,439 Speaker 2: from New York, New Jersey, and Connecticut move to you know, 422 00:23:28,840 --> 00:23:33,640 Speaker 2: rural Virginia, rural North Carolina and take those bad possible 423 00:23:33,880 --> 00:23:37,440 Speaker 2: or Florida talk about that, yeah, I mean, so North 424 00:23:37,440 --> 00:23:42,080 Speaker 2: Carolina is really number is generally number three after Florida 425 00:23:42,119 --> 00:23:43,080 Speaker 2: and Texas. 426 00:23:42,680 --> 00:23:45,480 Speaker 4: In terms of you know, gaining gaining new residents. I 427 00:23:45,520 --> 00:23:48,159 Speaker 4: think Florida, Florida and Texas kind of have enough of 428 00:23:48,880 --> 00:23:51,760 Speaker 4: enough of a population buffer that there. They've been a 429 00:23:51,760 --> 00:23:54,119 Speaker 4: little insulated from this. But North Carolina has become a 430 00:23:54,240 --> 00:23:58,120 Speaker 4: very purple state, right, Arizona kind of the same same thing. 431 00:23:58,200 --> 00:24:01,320 Speaker 4: They're number six on our report. So you know, it's 432 00:24:01,359 --> 00:24:06,840 Speaker 4: definitely a dynamic. I think you certainly want it's certainly 433 00:24:06,840 --> 00:24:10,000 Speaker 4: a good sign when you're winning the taxpayers in the 434 00:24:10,400 --> 00:24:14,720 Speaker 4: in the sort of interstate competition battle. But it's I mean, 435 00:24:14,760 --> 00:24:17,440 Speaker 4: you raise a great point in something that that policymakers 436 00:24:17,520 --> 00:24:20,800 Speaker 4: have to be mindful of that and people moving too, 437 00:24:21,160 --> 00:24:23,880 Speaker 4: They have to realize, hey, I left that state because 438 00:24:23,880 --> 00:24:25,919 Speaker 4: I don't want to be in that kind of you know, 439 00:24:26,000 --> 00:24:28,360 Speaker 4: political environment, I don't want to be in that tax environment. 440 00:24:29,320 --> 00:24:31,320 Speaker 4: I shouldn't just go for the same stuff once I 441 00:24:31,359 --> 00:24:33,960 Speaker 4: moved to a state that doesn't have those problems. 442 00:24:34,680 --> 00:24:38,560 Speaker 2: Indiana ranks number nineteen in terms of net gain, a 443 00:24:38,680 --> 00:24:41,720 Speaker 2: number of someone new moves to Indiana every one hour, 444 00:24:41,840 --> 00:24:43,919 Speaker 2: twenty two minutes and thirty six seconds. So in the 445 00:24:43,960 --> 00:24:47,520 Speaker 2: span of Tony's show today, will Go Indiana will will 446 00:24:47,560 --> 00:24:50,959 Speaker 2: net two more residents. I mean, my philosophy and all 447 00:24:51,000 --> 00:24:53,600 Speaker 2: of this. Andrew, and we're talking with Andrew Wilford from 448 00:24:53,640 --> 00:24:57,480 Speaker 2: the National Taxpayers Union bring your food with you, like, 449 00:24:57,560 --> 00:25:00,280 Speaker 2: bring your cuisine with you. So you know, when you 450 00:25:00,359 --> 00:25:03,520 Speaker 2: come to Virginia or when you're going to Arizona and 451 00:25:03,560 --> 00:25:06,280 Speaker 2: you're coming from New York, bring good deli, bring good 452 00:25:06,280 --> 00:25:09,400 Speaker 2: Italian food, bring a good Asian market, but don't bring 453 00:25:09,400 --> 00:25:10,159 Speaker 2: your tax policy. 454 00:25:10,160 --> 00:25:11,880 Speaker 3: I mean, this is this is the problem, isn't it. 455 00:25:12,840 --> 00:25:17,120 Speaker 4: Yeah, I mean absolutely and here here in I'm also 456 00:25:17,160 --> 00:25:19,879 Speaker 4: a Virginia resident, and we could certainly use some more 457 00:25:19,920 --> 00:25:22,639 Speaker 4: cuisine and a lot of the a lot of the 458 00:25:22,680 --> 00:25:26,240 Speaker 4: places I live nearby, but certainly not not the votes 459 00:25:26,240 --> 00:25:26,919 Speaker 4: we've been getting. 460 00:25:27,600 --> 00:25:29,600 Speaker 2: Right, So you know, it's. 461 00:25:29,600 --> 00:25:33,520 Speaker 4: It's certainly, certainly dynamics that adds to this. But on 462 00:25:33,560 --> 00:25:37,520 Speaker 4: the other hand, you know all the you know, people 463 00:25:37,680 --> 00:25:40,680 Speaker 4: people leave states, people coming to states. It's not just 464 00:25:40,960 --> 00:25:43,840 Speaker 4: really it's not just the metric of how how well 465 00:25:43,880 --> 00:25:46,480 Speaker 4: your state is doing, even though it is that. It's 466 00:25:46,520 --> 00:25:48,359 Speaker 4: also you know, it has a real impact. It has 467 00:25:48,400 --> 00:25:51,480 Speaker 4: an impact on revenue. Like we estimate that California is 468 00:25:51,520 --> 00:25:54,960 Speaker 4: going to lose four and a half billion dollars this 469 00:25:55,080 --> 00:25:58,560 Speaker 4: year in state and local revenue just because of migration 470 00:25:58,680 --> 00:25:59,360 Speaker 4: in that one year. 471 00:25:59,440 --> 00:26:00,760 Speaker 2: So that's not even cumulative. 472 00:26:00,760 --> 00:26:03,399 Speaker 4: It's not looking at you know, all the all the 473 00:26:03,400 --> 00:26:06,200 Speaker 4: people who left in the years past. That's just that's 474 00:26:06,280 --> 00:26:10,199 Speaker 4: just in twenty twenty five, so you know, it's it 475 00:26:10,280 --> 00:26:12,320 Speaker 4: really can be death by a thousand cuts because if 476 00:26:13,600 --> 00:26:15,720 Speaker 4: you know, you look at Caliborn New's budget situation right now, 477 00:26:15,720 --> 00:26:16,320 Speaker 4: it's not great. 478 00:26:17,160 --> 00:26:19,720 Speaker 2: So here's here's a tail a lot off like that. 479 00:26:19,840 --> 00:26:21,879 Speaker 2: I would almost want to drill down. This is the 480 00:26:21,920 --> 00:26:24,880 Speaker 2: really fascinating thing. And then by the way, uh check 481 00:26:24,880 --> 00:26:27,720 Speaker 2: out the map that NTU has. I'll post it on 482 00:26:28,160 --> 00:26:32,480 Speaker 2: my Twitter page. Andrew underscore Langer. What I appreciate about 483 00:26:32,480 --> 00:26:35,240 Speaker 2: this is, so you've got Mississippi, which is right in 484 00:26:35,240 --> 00:26:38,320 Speaker 2: the middle. It's ranked number twenty six. They have people 485 00:26:38,720 --> 00:26:42,320 Speaker 2: leaving Mississippi, but only every thirteen hours, nine minutes and 486 00:26:42,359 --> 00:26:48,639 Speaker 2: eleven seconds. But you've got Utah at number twenty five. 487 00:26:48,080 --> 00:26:54,640 Speaker 2: They have very slow net migration inward and just diagonal 488 00:26:54,720 --> 00:26:57,760 Speaker 2: to them to the southeast is New Mexico, which is 489 00:26:57,840 --> 00:27:01,439 Speaker 2: you know, someone's leaving New Mexico every seven hours, So 490 00:27:02,359 --> 00:27:05,040 Speaker 2: you know, what's what's the Have you drilled down into 491 00:27:05,119 --> 00:27:08,360 Speaker 2: the stark difference between those two policies, Who's doing what? 492 00:27:08,359 --> 00:27:11,840 Speaker 2: What is what is Utah barely doing right? What is 493 00:27:11,880 --> 00:27:13,359 Speaker 2: New Mexico barely doing wrong? 494 00:27:14,760 --> 00:27:16,919 Speaker 4: Yeah, I mean what once you get to that that 495 00:27:17,000 --> 00:27:21,200 Speaker 4: granular of a level, it's it's not always that clear. Sure, 496 00:27:21,240 --> 00:27:23,920 Speaker 4: on the macro level, you can always see I mean, 497 00:27:24,400 --> 00:27:27,280 Speaker 4: for example, like if you just look at uh, wealthy 498 00:27:27,320 --> 00:27:30,399 Speaker 4: tax payers where they're moving, there's obviously I mean, this 499 00:27:30,680 --> 00:27:33,640 Speaker 4: can sound like an obvious thing I'm saying, but people 500 00:27:33,680 --> 00:27:36,120 Speaker 4: don't necessarily think it is so right saying. 501 00:27:36,200 --> 00:27:37,080 Speaker 2: But there's not. 502 00:27:37,560 --> 00:27:42,240 Speaker 4: There's not a single state that has raised taxes that 503 00:27:42,359 --> 00:27:46,840 Speaker 4: has gained more uh that is that is that is 504 00:27:46,880 --> 00:27:49,919 Speaker 4: doing better in migration among wealthy tax payers than the 505 00:27:49,920 --> 00:27:52,520 Speaker 4: state that's lowered them. So every single state that's lower 506 00:27:52,560 --> 00:27:56,879 Speaker 4: taxes is gaining more uh, gaining more residents than states 507 00:27:56,880 --> 00:27:59,480 Speaker 4: that have raised them. And like, you know, that's again 508 00:28:00,240 --> 00:28:01,400 Speaker 4: it's me just saying that to you. 509 00:28:01,400 --> 00:28:03,520 Speaker 2: You're like, oh, of course, but sure, you. 510 00:28:03,440 --> 00:28:05,399 Speaker 4: Know, I think I think this is not something that 511 00:28:05,440 --> 00:28:09,560 Speaker 4: policy makers necessarily think about. Yeah, I mean, not a 512 00:28:09,600 --> 00:28:11,160 Speaker 4: state that's lowering taxes recently. 513 00:28:11,320 --> 00:28:14,960 Speaker 3: So right, you know, listen, I'm going to make a 514 00:28:14,960 --> 00:28:15,600 Speaker 3: bold prediction. 515 00:28:15,760 --> 00:28:18,840 Speaker 2: I think you're going to see more more net migration 516 00:28:19,200 --> 00:28:24,359 Speaker 2: into Utah. Their regulatory climate has been changing Idaho's regulatory 517 00:28:24,359 --> 00:28:27,320 Speaker 2: climate wide hose number ranked number ten. Someone who moves 518 00:28:27,359 --> 00:28:30,240 Speaker 2: to Idaho every twenty six minutes and nine seconds. Again 519 00:28:30,320 --> 00:28:36,240 Speaker 2: has contrasted with the Oregon and Washington State someone two 520 00:28:36,320 --> 00:28:41,360 Speaker 2: people leave Washington State every hour in terms of the 521 00:28:41,400 --> 00:28:44,640 Speaker 2: net you know, again, this is this is what it's 522 00:28:45,000 --> 00:28:48,080 Speaker 2: what it's all about. It is It is fascinating to me, 523 00:28:48,960 --> 00:28:50,680 Speaker 2: and you guys are doing the whole series. So what's 524 00:28:50,720 --> 00:28:53,880 Speaker 2: the goal here, what we're we're how what is what 525 00:28:53,960 --> 00:28:55,480 Speaker 2: is the plan for using this information? 526 00:28:55,520 --> 00:28:57,280 Speaker 3: What's the plan for the initiative? 527 00:28:58,280 --> 00:29:02,200 Speaker 4: Well, you know, I think more broadly speaking, are you know, 528 00:29:02,240 --> 00:29:04,600 Speaker 4: the Interstate Commerce Initiative is looking at how states are 529 00:29:04,920 --> 00:29:07,400 Speaker 4: you know, taxing and regulating outside their borders. And kind 530 00:29:07,480 --> 00:29:11,200 Speaker 4: of what we're concerned about here is that we're seeing 531 00:29:11,280 --> 00:29:14,760 Speaker 4: states like California and like New York who are continually 532 00:29:14,800 --> 00:29:18,040 Speaker 4: losing taxpayers to other states. Their budget sizes continuous well 533 00:29:18,240 --> 00:29:22,960 Speaker 4: not shrinking, you know, in total total in an absolute sense, 534 00:29:23,000 --> 00:29:25,600 Speaker 4: but it's it's not growing as much as other states are. 535 00:29:26,000 --> 00:29:30,080 Speaker 4: And it's because you know, they're what they're what they're 536 00:29:30,080 --> 00:29:33,640 Speaker 4: doing is instead of trying to you know, trying to 537 00:29:33,680 --> 00:29:36,320 Speaker 4: make the numbers work at their own local you know, 538 00:29:36,360 --> 00:29:39,400 Speaker 4: at the state level, they're seeing taxairs in other states. 539 00:29:39,440 --> 00:29:40,640 Speaker 2: They're seeing taxars. 540 00:29:40,240 --> 00:29:42,880 Speaker 4: Who are in Arizona and Nevada, who who are you know, 541 00:29:43,080 --> 00:29:45,480 Speaker 4: shipping goods around the country things like that, and saying 542 00:29:46,200 --> 00:29:47,920 Speaker 4: we're going to try and tax more of this. And 543 00:29:47,960 --> 00:29:51,040 Speaker 4: that's what we're really concerned about, is that that sort 544 00:29:51,040 --> 00:29:55,800 Speaker 4: of tendency among these sort of loser states to try 545 00:29:55,880 --> 00:29:59,320 Speaker 4: and instead of instead of become more competitive, try and 546 00:29:59,480 --> 00:30:03,800 Speaker 4: just know, throw the throw the throw the pieces off 547 00:30:03,800 --> 00:30:05,520 Speaker 4: the table and say we're just going to tax whatever 548 00:30:05,560 --> 00:30:05,880 Speaker 4: you want. 549 00:30:06,200 --> 00:30:08,040 Speaker 2: It's a d C. At one point, we're floating an 550 00:30:08,040 --> 00:30:10,920 Speaker 2: idea where if you worked in d C, but you 551 00:30:11,600 --> 00:30:13,760 Speaker 2: but you lived in Virginia, they would tax you. I 552 00:30:13,760 --> 00:30:17,000 Speaker 2: mean that, which is which is amazing to me. You know, 553 00:30:17,000 --> 00:30:18,680 Speaker 2: I'm sitting here looking at at uh. 554 00:30:19,160 --> 00:30:20,479 Speaker 3: You know, it's it's that issue. 555 00:30:20,720 --> 00:30:23,360 Speaker 2: Part of this is Andrew is you know, when you 556 00:30:23,400 --> 00:30:26,080 Speaker 2: have a state like California or or you have a 557 00:30:26,120 --> 00:30:30,160 Speaker 2: state like Maryland and they're trying to make policy, uh 558 00:30:30,160 --> 00:30:32,160 Speaker 2: that is essentially going to affect the rest of the nation. 559 00:30:32,280 --> 00:30:35,000 Speaker 2: This is this is not this is not what we want, 560 00:30:35,080 --> 00:30:36,800 Speaker 2: is it? Absolutely. 561 00:30:36,840 --> 00:30:40,240 Speaker 4: And you know you say that that that dec proposal, 562 00:30:40,360 --> 00:30:43,040 Speaker 4: like it's something crazy, But New York, New York does that, 563 00:30:43,560 --> 00:30:46,000 Speaker 4: and like there are few there's a few other states 564 00:30:46,000 --> 00:30:49,280 Speaker 4: that do so. Like that's that's exactly the kind of. 565 00:30:49,200 --> 00:30:50,160 Speaker 5: Thing we're concerned about. 566 00:30:50,920 --> 00:30:52,680 Speaker 2: Amen to that. And listen, you can go check this 567 00:30:52,760 --> 00:30:55,640 Speaker 2: out into you dot org. Uh it's their foundation, the 568 00:30:55,680 --> 00:30:58,800 Speaker 2: National tax Resiunion Foundation. Uh, it has the piece up. 569 00:30:58,800 --> 00:31:00,600 Speaker 2: I'm going to tweet this out in just a couple 570 00:31:00,600 --> 00:31:04,400 Speaker 2: of minutes. Andrew Wilford from and to you, thank you 571 00:31:04,400 --> 00:31:05,360 Speaker 2: for joining us, my friend. 572 00:31:06,200 --> 00:31:07,000 Speaker 4: Thank you very much. 573 00:31:07,080 --> 00:31:08,240 Speaker 2: Have a happy holiday. 574 00:31:08,680 --> 00:31:09,120 Speaker 3: Take care. 575 00:31:09,280 --> 00:31:11,680 Speaker 2: That was Andrew Wilford. He is the director of there 576 00:31:11,840 --> 00:31:18,040 Speaker 2: of the National Taxpayers Union Foundation's Interstate Commerce Initiative. Fascinating, 577 00:31:18,080 --> 00:31:22,000 Speaker 2: fascinating work. And yeah, that's the aphorism, right, if you're 578 00:31:22,000 --> 00:31:24,680 Speaker 2: gonna make the move, right, if you're gonna make the 579 00:31:24,720 --> 00:31:28,680 Speaker 2: move from Illinois, which is ranked number forty nine, or you're. 580 00:31:28,560 --> 00:31:31,520 Speaker 3: Gonna move from Ohio, which is ranked number. 581 00:31:31,320 --> 00:31:36,920 Speaker 2: Thirty six, into Indiana, don't take Illinois or Indiana or 582 00:31:36,960 --> 00:31:41,640 Speaker 2: Michigan's policies with you. Leave them there. Take whatever the 583 00:31:41,640 --> 00:31:43,080 Speaker 2: best food is in bringing with you. That's all I 584 00:31:43,160 --> 00:31:45,640 Speaker 2: have to say. I'm Andrew lagger In for Tony Kats. 585 00:31:45,640 --> 00:31:48,360 Speaker 2: This is Tony Kats Today. So we were talking about 586 00:31:48,360 --> 00:31:54,160 Speaker 2: this bizarre statement that Jazz Crocket made on M Snow yesterday. 587 00:31:55,280 --> 00:31:57,160 Speaker 2: If you're go ahead, let's pull play at number four again, 588 00:31:57,200 --> 00:31:58,760 Speaker 2: real quick, stem Missy. 589 00:32:00,760 --> 00:32:03,200 Speaker 9: And that is actually what they are fearful of, is 590 00:32:03,240 --> 00:32:07,080 Speaker 9: my authenticity because it rings true with every single American, 591 00:32:07,120 --> 00:32:09,760 Speaker 9: whether they're a Texan or not. It rings true that 592 00:32:09,880 --> 00:32:13,160 Speaker 9: I am fighting for real, everyday people. And instead of 593 00:32:13,200 --> 00:32:15,840 Speaker 9: talking about policy, when you're talking about the record speaks 594 00:32:15,840 --> 00:32:18,920 Speaker 9: for itself. Baby, Let's talk about your record because the 595 00:32:18,960 --> 00:32:21,440 Speaker 9: only reason you're the vice president is because the current 596 00:32:21,480 --> 00:32:24,200 Speaker 9: president tried to have his last president killed. 597 00:32:24,560 --> 00:32:26,160 Speaker 10: Let's talk about qualifications. 598 00:32:26,280 --> 00:32:32,280 Speaker 2: Oh I see so yeah. So listener Randy messaged in. 599 00:32:33,240 --> 00:32:37,000 Speaker 2: She misspoke what she's saying. She was referring to Vice 600 00:32:37,040 --> 00:32:40,640 Speaker 2: President Pence that the only reason why your vice president 601 00:32:41,080 --> 00:32:45,400 Speaker 2: is because of Donald Trump tried to have Mike Pence killed. 602 00:32:45,440 --> 00:32:47,680 Speaker 2: It's a very very strange way of looking at it. 603 00:32:47,760 --> 00:32:49,480 Speaker 2: But I want to thank you for that, Randy. That 604 00:32:50,240 --> 00:32:52,680 Speaker 2: was a good that's a good pick up there. But 605 00:32:53,160 --> 00:32:57,240 Speaker 2: this idea of being threatened by her authenticity. I made 606 00:32:57,480 --> 00:32:59,800 Speaker 2: the case that this is what Tim Waltz was trying 607 00:32:59,840 --> 00:33:03,440 Speaker 2: to do. Here is Tim Waltz at the DNC last 608 00:33:03,480 --> 00:33:06,440 Speaker 2: summer Summer of twenty twenty four, talking about what a 609 00:33:06,440 --> 00:33:07,120 Speaker 2: good shot he is. 610 00:33:07,160 --> 00:33:08,080 Speaker 3: Let's play that. 611 00:33:08,440 --> 00:33:12,120 Speaker 11: Is, I'm trying to own masculinity in the most regressive, 612 00:33:12,360 --> 00:33:16,720 Speaker 11: sort of misogynous way possible. Jd Vance lecturing everybody on 613 00:33:17,280 --> 00:33:19,280 Speaker 11: what a family means, what it means to be a man. 614 00:33:19,400 --> 00:33:22,240 Speaker 11: Donald Trump obviously has his own version of manhood. To 615 00:33:22,400 --> 00:33:26,040 Speaker 11: see Tim Walls out there as a man who is 616 00:33:26,720 --> 00:33:30,320 Speaker 11: just joyfully embracing his role as the vice potential vice 617 00:33:30,360 --> 00:33:33,920 Speaker 11: president to the woman, the nation's first female president, is 618 00:33:33,960 --> 00:33:38,160 Speaker 11: an extraordinary thing. But also to see his son weeping 619 00:33:38,280 --> 00:33:41,760 Speaker 11: for his father in a deeply tender and emotional way. 620 00:33:42,040 --> 00:33:43,720 Speaker 2: And then the last thing I'll say, because. 621 00:33:43,480 --> 00:33:45,520 Speaker 11: I think this hasn't been talked about enough to see 622 00:33:45,520 --> 00:33:49,320 Speaker 11: Democrats champion men as voices on reproductive choice. 623 00:33:49,560 --> 00:33:53,200 Speaker 2: As you saw, good Lord, you know something. But what 624 00:33:53,240 --> 00:33:56,120 Speaker 2: they're referring to was this clip also at the DNC. 625 00:33:56,520 --> 00:33:58,560 Speaker 2: Here's Tim Waltz talking about what a great shot he was. 626 00:34:00,440 --> 00:34:05,160 Speaker 12: I know guns, I'm a veteran, I'm a hunter, and 627 00:34:05,280 --> 00:34:07,920 Speaker 12: I was a better shot than most Republicans in Congress, 628 00:34:07,920 --> 00:34:09,480 Speaker 12: and I got the trophies to prove it. 629 00:34:11,000 --> 00:34:15,040 Speaker 2: Yet no, there's, by the way, very little indication that 630 00:34:15,040 --> 00:34:19,600 Speaker 2: that story was true. In fact, just the opposite, very 631 00:34:19,600 --> 00:34:21,160 Speaker 2: little in the way of proof that he was a 632 00:34:21,160 --> 00:34:22,719 Speaker 2: better shot than most Republicans. 633 00:34:22,760 --> 00:34:24,040 Speaker 3: I got the trophies to prove it. 634 00:34:24,239 --> 00:34:26,360 Speaker 2: We went, we went through, when we when we peeled 635 00:34:26,440 --> 00:34:28,600 Speaker 2: peeled that back. I'll say it again because in the 636 00:34:28,640 --> 00:34:31,920 Speaker 2: next hour we're going to talk about this Somalia's situation. 637 00:34:32,800 --> 00:34:34,239 Speaker 2: And I think I brought this up the last time 638 00:34:34,280 --> 00:34:36,279 Speaker 2: I was in for Tony is this this story was 639 00:34:36,320 --> 00:34:37,200 Speaker 2: starting to break. 640 00:34:37,840 --> 00:34:41,200 Speaker 3: I think my lucky stars that this guy. 641 00:34:41,560 --> 00:34:42,920 Speaker 2: I mean, there are a lot of reasons why I'm 642 00:34:42,960 --> 00:34:46,880 Speaker 2: thankful that these two nincompoops didn't get elected president and 643 00:34:46,960 --> 00:34:49,719 Speaker 2: vice president. And some of it has to do with 644 00:34:49,840 --> 00:34:55,000 Speaker 2: the just the horrible, the horrible way America's semi Sequentinnial, 645 00:34:55,000 --> 00:34:57,719 Speaker 2: the two hundred and fiftieth anniversary would be portrayed. Some 646 00:34:57,800 --> 00:35:00,400 Speaker 2: of it is going to be about who's president and 647 00:35:00,440 --> 00:35:03,719 Speaker 2: how we celebrate America's return to the surface of the 648 00:35:03,760 --> 00:35:06,400 Speaker 2: Moon in the next couple of years, but some of 649 00:35:06,440 --> 00:35:08,600 Speaker 2: it has to do. And the lion's share of my 650 00:35:08,840 --> 00:35:12,960 Speaker 2: relief comes from as we peel back at the very 651 00:35:13,040 --> 00:35:17,880 Speaker 2: least Tim Waltz's record and the level of corruption and 652 00:35:17,920 --> 00:35:22,439 Speaker 2: the questions. Just thank God, thank God that this guy 653 00:35:22,520 --> 00:35:25,879 Speaker 2: is not vice president, because either a, we never would 654 00:35:25,920 --> 00:35:28,600 Speaker 2: have learned about this Somali fraud, it would have been 655 00:35:28,920 --> 00:35:32,800 Speaker 2: swept under the rug, or god forbid, we had actually 656 00:35:32,880 --> 00:35:36,759 Speaker 2: found out about it. In the most amazing sense, we 657 00:35:36,800 --> 00:35:38,799 Speaker 2: would be dealing with it as this guy was Vice 658 00:35:38,840 --> 00:35:41,480 Speaker 2: President of the United States, and we'd be referring to 659 00:35:41,880 --> 00:35:46,239 Speaker 2: him as the next coming of Ted Agnews. We got 660 00:35:46,239 --> 00:35:48,200 Speaker 2: a jam packed hour. Next hour. 661 00:35:49,000 --> 00:35:50,080 Speaker 3: Yeah, I call him Ted Agnew. 662 00:35:50,080 --> 00:35:52,400 Speaker 2: If you've spent any time at Maryland, called Ted Agnew. 663 00:35:52,440 --> 00:35:53,799 Speaker 3: Next, how we got Rachel Moon. 664 00:35:54,080 --> 00:35:57,960 Speaker 2: She's a conservative anti semitism activist, also Ken Strength from AFP. 665 00:35:58,200 --> 00:35:59,800 Speaker 3: I'm Andrew Langlet this is Tony. 666 00:35:59,600 --> 00:36:09,759 Speaker 1: Katsky live from the Hartbiner and the Crossroads of America. 667 00:36:11,200 --> 00:36:16,640 Speaker 2: It's Tony Katz today. Well, hey to everybody, welcome back. 668 00:36:16,840 --> 00:36:20,160 Speaker 2: I am Andrew Langer in for Tony Katz today. So 669 00:36:20,280 --> 00:36:22,080 Speaker 2: glad I can join you and you can join me, 670 00:36:22,120 --> 00:36:25,680 Speaker 2: and we can join each other. I want to spend 671 00:36:25,680 --> 00:36:28,960 Speaker 2: a special shout out to my friends Alexa and Jim 672 00:36:29,280 --> 00:36:32,880 Speaker 2: out there in Indy, South Indy. So glad you guys 673 00:36:32,880 --> 00:36:35,200 Speaker 2: are tuning in. You can drop me a note if 674 00:36:35,239 --> 00:36:39,319 Speaker 2: you want Facebook dot com slash Andrew Langer Show. You 675 00:36:39,360 --> 00:36:42,880 Speaker 2: can also message me on Twitter at Andrew Underscore Langer 676 00:36:43,040 --> 00:36:45,239 Speaker 2: l A n G E R. We got a great 677 00:36:45,239 --> 00:36:48,400 Speaker 2: hour coming up. Kent Strang from Americans for Prosperity is 678 00:36:48,440 --> 00:36:50,080 Speaker 2: going to be joining us in just a little bit. 679 00:36:50,640 --> 00:36:53,719 Speaker 2: Rachel Moon, who is a social media content creator at 680 00:36:53,760 --> 00:36:56,279 Speaker 2: Jewish American Advocate, She's going to be joining us as 681 00:36:56,320 --> 00:37:00,120 Speaker 2: well to talk about anti Semitism. So I want to 682 00:37:00,160 --> 00:37:01,840 Speaker 2: sum up a little bit more. I mean, obviously we 683 00:37:01,880 --> 00:37:05,160 Speaker 2: may come back to and play what the President had 684 00:37:05,160 --> 00:37:08,239 Speaker 2: to say at the Turning Point event introduced by his son, 685 00:37:08,920 --> 00:37:11,440 Speaker 2: but since we were talking about Tim Waltz, I do 686 00:37:11,560 --> 00:37:11,920 Speaker 2: love these. 687 00:37:12,400 --> 00:37:13,480 Speaker 3: By the way, I will say. 688 00:37:13,360 --> 00:37:15,920 Speaker 2: This again, I think I've said these on Tony's airways before. 689 00:37:16,440 --> 00:37:19,640 Speaker 2: I defy you. I defy you to take a look 690 00:37:19,719 --> 00:37:24,319 Speaker 2: at Tim Waltz and not immediately think of a worried 691 00:37:24,400 --> 00:37:26,640 Speaker 2: Fozzy Bear if you're a Muppet fan. By the way, 692 00:37:26,719 --> 00:37:30,800 Speaker 2: Muppet's coming back I believe in January, Tim Waltz looks 693 00:37:30,880 --> 00:37:32,719 Speaker 2: just like a worried fazzy bear. In fact, I think 694 00:37:32,719 --> 00:37:37,600 Speaker 2: I did that ai art last summer. But here is 695 00:37:37,680 --> 00:37:40,200 Speaker 2: Vice President Vance in his remarks. It was what they 696 00:37:40,239 --> 00:37:42,880 Speaker 2: would call a stem winder, a barn burner of a 697 00:37:42,920 --> 00:37:46,120 Speaker 2: speech talking about Somalia. Let's play at number nine. 698 00:37:46,440 --> 00:37:48,160 Speaker 10: And this is the moral truth. 699 00:37:48,239 --> 00:37:51,040 Speaker 7: We strived the center in our work in the Trump 700 00:37:51,120 --> 00:37:56,600 Speaker 7: administration and in this great movement of ours true Christian politics. 701 00:37:56,719 --> 00:38:00,400 Speaker 7: It cannot just be about the protection of the born 702 00:38:00,560 --> 00:38:03,479 Speaker 7: or the promotion of the family, as important as those 703 00:38:03,560 --> 00:38:07,200 Speaker 7: things and absolutely are, it must be at the heart 704 00:38:07,400 --> 00:38:11,440 Speaker 7: of our full understanding of government. Why do we penalize 705 00:38:11,960 --> 00:38:16,440 Speaker 7: corporations that ship American jobs overseas because we believe in 706 00:38:16,480 --> 00:38:20,120 Speaker 7: the inherent dignity of human work and every person who 707 00:38:20,120 --> 00:38:21,080 Speaker 7: works a good job. 708 00:38:20,920 --> 00:38:22,080 Speaker 3: In this country. 709 00:38:23,760 --> 00:38:29,920 Speaker 7: Why why have we worked without the help of Congress 710 00:38:30,239 --> 00:38:34,480 Speaker 7: to restrict H one BBSes, for example, because we believe 711 00:38:34,719 --> 00:38:39,000 Speaker 7: it is wrong for companies to bypass American labor just 712 00:38:39,040 --> 00:38:40,560 Speaker 7: to go for cheaper options in. 713 00:38:40,520 --> 00:38:41,240 Speaker 5: The third world. 714 00:38:48,280 --> 00:38:52,000 Speaker 7: We help older Americans in retirement, including by ending taxes 715 00:38:52,080 --> 00:38:56,000 Speaker 7: on Social Security, because we believe in honoring your father 716 00:38:56,200 --> 00:38:59,040 Speaker 7: and mother rather than shipping all of their money off 717 00:38:59,040 --> 00:39:09,200 Speaker 7: the Ukraine. We believe in taking care of the poor, 718 00:39:09,560 --> 00:39:12,400 Speaker 7: which is why we have Medicaid, so that the least 719 00:39:12,560 --> 00:39:15,520 Speaker 7: among us can afford their prescriptions or to take their 720 00:39:15,600 --> 00:39:18,319 Speaker 7: kids to see a doctor. And it's why we are 721 00:39:18,360 --> 00:39:22,799 Speaker 7: outraged at the injustice of Tim Waltz allowing Somalian immigrants 722 00:39:23,000 --> 00:39:26,279 Speaker 7: to defraud that program to the tune of billions of dollars 723 00:39:26,400 --> 00:39:28,680 Speaker 7: in ought to go to Americans, because that's who it's 724 00:39:28,719 --> 00:39:30,799 Speaker 7: therefore right. 725 00:39:30,920 --> 00:39:33,920 Speaker 2: It's not a zero sum game here, ladies and gentlemen. 726 00:39:33,960 --> 00:39:37,880 Speaker 2: I mean, these things have consequences. So every dollar that 727 00:39:38,160 --> 00:39:42,560 Speaker 2: was shunted out of these programs in Minnesota to go 728 00:39:42,719 --> 00:39:47,000 Speaker 2: to the Somalia, whether legally or illegally, is money that 729 00:39:47,120 --> 00:39:50,000 Speaker 2: was supposed to be used by in four Americans. That 730 00:39:50,239 --> 00:39:54,239 Speaker 2: was what the American taxpayers were paying for. Now, what 731 00:39:54,320 --> 00:39:56,399 Speaker 2: I love about this? You know what I love? I 732 00:39:56,440 --> 00:39:59,840 Speaker 2: love it, I do genuinely. I love it when politicians 733 00:39:59,840 --> 00:40:03,279 Speaker 2: have lack of self awareness, I do. You know, we 734 00:40:03,400 --> 00:40:05,560 Speaker 2: call it the gallows humor, and me call it a 735 00:40:05,560 --> 00:40:09,520 Speaker 2: bit of shodenfreude, taking joy in the in the pain 736 00:40:09,600 --> 00:40:17,000 Speaker 2: of somebody else. We know what's happening in Minnesota, we 737 00:40:17,080 --> 00:40:20,160 Speaker 2: know who's responsible for it. But guess who's going to 738 00:40:20,200 --> 00:40:23,040 Speaker 2: clean it up. Well, Tim Walls thinks he's going to 739 00:40:23,120 --> 00:40:25,880 Speaker 2: clean it up. Here is what he had to say. 740 00:40:26,040 --> 00:40:27,000 Speaker 2: Let's put kinnumber ten. 741 00:40:28,880 --> 00:40:31,240 Speaker 12: Well, look who's ever in charge? And I said, unlike 742 00:40:31,239 --> 00:40:34,360 Speaker 12: the President, I'm the governor. Now, whether these programs happened 743 00:40:34,400 --> 00:40:36,800 Speaker 12: before we got here afterwards, it doesn't matter. We're here now, 744 00:40:37,080 --> 00:40:39,319 Speaker 12: we're the ones fixing it. You have my guarantee on 745 00:40:39,360 --> 00:40:41,840 Speaker 12: this is that I certainly will have this thing fixed. 746 00:40:41,840 --> 00:40:43,359 Speaker 3: And you see that we're on the front end of it. 747 00:40:44,200 --> 00:40:45,160 Speaker 3: That's how this works. 748 00:40:45,280 --> 00:40:48,560 Speaker 12: And so would I have wanted to stop this would 749 00:40:48,640 --> 00:40:50,520 Speaker 12: have gone out? You know, if you think the governor 750 00:40:50,560 --> 00:40:52,680 Speaker 12: goes out and checks somebody on medicaid and that they 751 00:40:52,680 --> 00:40:54,880 Speaker 12: were there, No, but that's somebody in government needed to 752 00:40:54,920 --> 00:40:56,799 Speaker 12: do that. And if they didn't do that, or if 753 00:40:56,840 --> 00:40:58,640 Speaker 12: there were loopholes in this, And what we found is 754 00:40:58,640 --> 00:41:01,040 Speaker 12: these are poorly written and left openings and the goal 755 00:41:01,200 --> 00:41:02,040 Speaker 12: was to get the money out. 756 00:41:02,040 --> 00:41:02,600 Speaker 3: We'll fix that. 757 00:41:03,040 --> 00:41:05,080 Speaker 12: But yeah, I'll take accountability for it. But what if 758 00:41:05,160 --> 00:41:07,920 Speaker 12: you're seeing here is is you're seeing a weaponization. We'll 759 00:41:07,920 --> 00:41:10,080 Speaker 12: continue to fix it. They're going to continue to come 760 00:41:10,160 --> 00:41:13,240 Speaker 12: up with numbers that don't have it there and it's sensationalized. 761 00:41:13,239 --> 00:41:16,960 Speaker 12: I don't expect anything different from this administration, you know. 762 00:41:17,040 --> 00:41:20,600 Speaker 2: And and do me a favor tonight, email me after the show. 763 00:41:20,640 --> 00:41:24,000 Speaker 2: Emailed me so that I can. I can. I'm gonna 764 00:41:24,000 --> 00:41:29,160 Speaker 2: I'm gonna actually take that and transcribe it. That bizarre words. 765 00:41:29,239 --> 00:41:33,279 Speaker 2: I'm serious, I watch it. I will transcribe the opening segment. 766 00:41:32,920 --> 00:41:34,799 Speaker 3: Of the show tomorrow. We're gonna we're gonna play this 767 00:41:35,200 --> 00:41:35,520 Speaker 3: and we. 768 00:41:35,480 --> 00:41:38,880 Speaker 2: Are going to dissect specifically what Tim Walls had to 769 00:41:39,000 --> 00:41:42,840 Speaker 2: say in response to this. Oh, you know, whoever was 770 00:41:42,880 --> 00:41:44,960 Speaker 2: in charge, we were in charge. Well, if we were 771 00:41:44,960 --> 00:41:47,120 Speaker 2: in charge when we were in charge, well maybe we 772 00:41:47,120 --> 00:41:49,719 Speaker 2: were in charge of you know, this is fraud, but 773 00:41:49,760 --> 00:41:51,440 Speaker 2: it's not fraud because there's a loophole. 774 00:41:51,520 --> 00:41:52,440 Speaker 3: We'll close the loophole. 775 00:41:52,760 --> 00:41:56,839 Speaker 2: No, Governor, you were well aware of this from from 776 00:41:56,840 --> 00:41:59,319 Speaker 2: what I understand. And by the way, folks, I do 777 00:41:59,360 --> 00:42:02,799 Speaker 2: a a weekly hit on the Twin Cities. Maybe we'll 778 00:42:02,800 --> 00:42:05,480 Speaker 2: also we'll try to get John Justice on. John is 779 00:42:05,719 --> 00:42:09,799 Speaker 2: a colleague of mine and Tony's John Justice does the 780 00:42:09,840 --> 00:42:14,960 Speaker 2: Mornings in Twin Cities, and you know, John's been you 781 00:42:15,000 --> 00:42:17,360 Speaker 2: know what's talked about the fact that Tim Waltz was 782 00:42:17,400 --> 00:42:22,799 Speaker 2: made aware of this fraud that was happening and did 783 00:42:22,800 --> 00:42:23,360 Speaker 2: nothing about it. 784 00:42:23,360 --> 00:42:26,120 Speaker 3: In fact, I believe the whistleblowers were fired. In fact, 785 00:42:26,239 --> 00:42:27,239 Speaker 3: do me a favor, Linda. 786 00:42:27,280 --> 00:42:29,840 Speaker 2: We're going to jump down here because here is a 787 00:42:29,880 --> 00:42:35,600 Speaker 2: state representative, Patty Anderson from Minnesota. She is is she 788 00:42:35,760 --> 00:42:38,720 Speaker 2: is on TV saying that the nine billion dollar figure 789 00:42:38,760 --> 00:42:40,920 Speaker 2: is probably low. Let's play at number thirteen. 790 00:42:41,160 --> 00:42:43,279 Speaker 13: That that fraud number that has been put out there 791 00:42:43,280 --> 00:42:45,960 Speaker 13: by the US Attorney And of course it's massive. I 792 00:42:46,040 --> 00:42:48,719 Speaker 13: got all of our attention this week talking you know, 793 00:42:48,800 --> 00:42:52,600 Speaker 13: potentially nine billion dollars or more. But the governor has 794 00:42:52,600 --> 00:42:55,520 Speaker 13: said he believes that's unfounded. And what do you what 795 00:42:55,520 --> 00:42:57,440 Speaker 13: do you say to that, because it's still a could be. 796 00:42:57,960 --> 00:42:58,600 Speaker 13: It's it could be. 797 00:42:58,640 --> 00:43:00,000 Speaker 14: And I think, you know, we're going to find out 798 00:43:00,080 --> 00:43:04,000 Speaker 14: out the employees at DHS that are doing all the 799 00:43:04,000 --> 00:43:06,880 Speaker 14: whistle blowing they say that number is probably low, that 800 00:43:06,920 --> 00:43:11,279 Speaker 14: it's nine billion within just these fourteen programs, and then 801 00:43:11,400 --> 00:43:14,279 Speaker 14: there's all sorts of other programs where there's where there's 802 00:43:14,320 --> 00:43:17,560 Speaker 14: been a fraud that they've been trying to bring to 803 00:43:17,760 --> 00:43:20,560 Speaker 14: the administration. They've brought to the administration and again they've 804 00:43:20,560 --> 00:43:25,279 Speaker 14: been shut down. These are folks that are lifetime employees, 805 00:43:25,440 --> 00:43:28,720 Speaker 14: you know of DHS, people that want to do good, 806 00:43:29,080 --> 00:43:31,920 Speaker 14: that want to provide services, that want to be helpful, 807 00:43:32,080 --> 00:43:36,279 Speaker 14: and it's it's been really hard on them to, you know, 808 00:43:36,440 --> 00:43:38,759 Speaker 14: essentially be shut down or italiated. 809 00:43:38,760 --> 00:43:40,719 Speaker 2: Well by the way, you know, here's a word to 810 00:43:40,800 --> 00:43:43,239 Speaker 2: the wise. Any of you who are bosses who are 811 00:43:43,280 --> 00:43:46,040 Speaker 2: out there, you know, managers of people, if you have 812 00:43:46,080 --> 00:43:48,719 Speaker 2: people in whatever entity it is, whether it's a for 813 00:43:48,880 --> 00:43:52,719 Speaker 2: profit entity, nonprofit entity, whatever you're trying to do, one 814 00:43:52,760 --> 00:43:55,440 Speaker 2: of the one of the quickest ways to destroy an 815 00:43:55,520 --> 00:43:58,400 Speaker 2: organization is by finding ways to prevent. 816 00:43:58,120 --> 00:43:59,720 Speaker 3: People from just doing their jobs. 817 00:44:00,000 --> 00:44:01,279 Speaker 2: Those folks want to come in, they just want to 818 00:44:01,280 --> 00:44:03,040 Speaker 2: do their job, and they don't want to have to 819 00:44:03,120 --> 00:44:06,239 Speaker 2: deal with the monkey business of some manager with an 820 00:44:06,280 --> 00:44:10,360 Speaker 2: axe to grind. You know, these folks all they wanted 821 00:44:10,400 --> 00:44:13,960 Speaker 2: to do was serve the people of Minnesota and do 822 00:44:14,200 --> 00:44:18,200 Speaker 2: right and you know, discharge the trust that they've been 823 00:44:18,280 --> 00:44:23,440 Speaker 2: left with. And yet and yet they were being frustrated 824 00:44:23,480 --> 00:44:27,640 Speaker 2: and prevented from doing that job. You know, we'll come 825 00:44:27,680 --> 00:44:30,200 Speaker 2: back at some point to this, because we got Hakim Jeffries. 826 00:44:30,320 --> 00:44:32,440 Speaker 2: We're not going to play right now, Landon, But Hakim 827 00:44:32,520 --> 00:44:37,960 Speaker 2: Jeffries called James Comer, Congressman James Carmer, Chairman James Commer 828 00:44:38,160 --> 00:44:41,640 Speaker 2: a clown for wanting to investigate the Minnesota Somali fraud. 829 00:44:42,000 --> 00:44:45,160 Speaker 2: Comber responded to Jeffries, there is the back and forth there. 830 00:44:46,120 --> 00:44:50,360 Speaker 2: At the end of the day, these were Democrats and 831 00:44:50,480 --> 00:44:56,319 Speaker 2: ministering programs that were essentially created by Democrats, and they 832 00:44:56,360 --> 00:44:59,879 Speaker 2: don't like the idea that they are being investigated for malfeasance, 833 00:45:00,360 --> 00:45:03,960 Speaker 2: for a misappropriation of funds. And guess what, Governor Waltz, 834 00:45:03,960 --> 00:45:08,600 Speaker 2: guess what, Congressman Jeffries. The federal government, the Congress has 835 00:45:08,719 --> 00:45:13,120 Speaker 2: every right and more importantly, the responsibility to make sure 836 00:45:13,160 --> 00:45:17,719 Speaker 2: that federal tax dollars weren't being illegally shunted to a 837 00:45:17,760 --> 00:45:22,960 Speaker 2: foreign nation, you know, illegally funding terrorism. By the way, 838 00:45:22,960 --> 00:45:26,800 Speaker 2: that's all lost in this. When we return, guys after 839 00:45:26,840 --> 00:45:30,520 Speaker 2: the spots, we got Rachel Moon. We're gonna be talking 840 00:45:30,520 --> 00:45:33,040 Speaker 2: with her about anti Semitism. I'm Andrew Langer. This is 841 00:45:33,080 --> 00:45:36,880 Speaker 2: Tony Katz today. Well, Welcome back everybody. I am Andrew 842 00:45:36,960 --> 00:45:40,080 Speaker 2: Langer in for Tony Katz today, so glad I can 843 00:45:40,160 --> 00:45:42,520 Speaker 2: join you. Thank you Wilford for joining us here on 844 00:45:43,320 --> 00:45:46,520 Speaker 2: the Tony Katz Radio Network. Joining us right now is 845 00:45:46,600 --> 00:45:49,520 Speaker 2: Rachel Muna. Had caused to meet her last week. She 846 00:45:49,680 --> 00:45:54,560 Speaker 2: is a social media content creator, really interesting stuff she's 847 00:45:54,600 --> 00:45:57,400 Speaker 2: doing on social media. She is a very strong advocate 848 00:45:57,440 --> 00:46:01,200 Speaker 2: for Jewish Americans. And Rachel, thank you for coming on. 849 00:46:02,120 --> 00:46:03,799 Speaker 15: Hey, Andrew, thanks for having me. 850 00:46:04,719 --> 00:46:07,759 Speaker 2: It's good stuff. You know. You and I met last week, 851 00:46:07,800 --> 00:46:10,520 Speaker 2: hung out a bit, had lots lots and lots to 852 00:46:10,600 --> 00:46:12,840 Speaker 2: talk about. But I want to get your take on 853 00:46:14,480 --> 00:46:19,040 Speaker 2: the different feedback out of Turning Point USA, but specifically 854 00:46:19,080 --> 00:46:22,560 Speaker 2: focusing on what Ben Shapiro had to say. I thought 855 00:46:22,600 --> 00:46:26,040 Speaker 2: Ben Shapiro did an amazing job at Turning Point. I 856 00:46:26,080 --> 00:46:28,640 Speaker 2: wanted to get your thoughts here and about this sort 857 00:46:28,640 --> 00:46:30,759 Speaker 2: of I don't even know why any of this is 858 00:46:30,800 --> 00:46:34,280 Speaker 2: a question anymore, but apparently we're having questions over anti 859 00:46:34,280 --> 00:46:37,239 Speaker 2: Semitism in America. I thought this was settled law, but 860 00:46:37,280 --> 00:46:37,880 Speaker 2: apparently not. 861 00:46:39,280 --> 00:46:42,040 Speaker 15: You know it is, so I don't even want to 862 00:46:42,080 --> 00:46:44,880 Speaker 15: say shocking, because this has been going on for years 863 00:46:46,239 --> 00:46:49,520 Speaker 15: and in some ways, I'm very happy to see that 864 00:46:50,719 --> 00:46:54,920 Speaker 15: the conversation is being had at places like Turning Point. 865 00:46:56,160 --> 00:46:59,160 Speaker 15: Years ago, I went on a podcast at Turning Point 866 00:46:59,200 --> 00:47:02,160 Speaker 15: to talk about the rise in anti Semitism, and it 867 00:47:02,200 --> 00:47:06,120 Speaker 15: had only just kind of started to ramp up. And now, 868 00:47:06,200 --> 00:47:10,399 Speaker 15: you know, years later, post October seventh, we see what's 869 00:47:10,440 --> 00:47:15,880 Speaker 15: going on, especially here in the United States, and you know, 870 00:47:16,719 --> 00:47:23,920 Speaker 15: then Shapiro going on that stage and calling out the 871 00:47:24,800 --> 00:47:33,360 Speaker 15: really inappropriate and devisive rhetoric that's been going on, and 872 00:47:33,440 --> 00:47:37,280 Speaker 15: we can't even say that it's just the left anymore. 873 00:47:37,880 --> 00:47:42,000 Speaker 15: You know, we have the far right that is stealing 874 00:47:42,160 --> 00:47:47,879 Speaker 15: these old anti Semitic blood ribles, and that has been 875 00:47:48,000 --> 00:47:52,080 Speaker 15: very shocking to me as someone who is a lifelong conservative. 876 00:47:53,160 --> 00:47:57,520 Speaker 15: I never ever thought that this would be something that 877 00:47:57,560 --> 00:48:03,040 Speaker 15: would be acceptable within the concern bit of movement. And 878 00:48:03,520 --> 00:48:06,520 Speaker 15: for him to get on stage and call out his 879 00:48:06,760 --> 00:48:11,360 Speaker 15: peers on some of the things that they've been peddling 880 00:48:11,560 --> 00:48:15,040 Speaker 15: or shying away from calling out themselves, I thought he 881 00:48:15,120 --> 00:48:18,239 Speaker 15: did an amazing job. I thought he was very articulate. 882 00:48:18,840 --> 00:48:21,759 Speaker 15: I thought he did not hold back. And if you 883 00:48:21,920 --> 00:48:25,000 Speaker 15: notice any of the criticism that he's been getting has 884 00:48:25,080 --> 00:48:28,000 Speaker 15: been coming from these problematic people. 885 00:48:28,719 --> 00:48:32,279 Speaker 2: Yeah, no, I think that's that that's that's very true. 886 00:48:32,640 --> 00:48:35,759 Speaker 2: It's interesting to me because I was having a conversation 887 00:48:36,080 --> 00:48:40,799 Speaker 2: about sort of splits within the conservative movement with an 888 00:48:40,800 --> 00:48:42,719 Speaker 2: old friend of mine, long time friend of mine, and 889 00:48:42,719 --> 00:48:45,880 Speaker 2: and you know, we both were talking about who benefits 890 00:48:45,920 --> 00:48:49,719 Speaker 2: from this? And to me, there there To me, there is, 891 00:48:49,760 --> 00:48:52,879 Speaker 2: because listen, I'm a little bit older than you are. 892 00:48:54,360 --> 00:48:56,719 Speaker 2: You know, this is again something that I thought was 893 00:48:56,840 --> 00:48:58,720 Speaker 2: long settled in these circles. 894 00:48:58,719 --> 00:49:00,400 Speaker 3: We are well as we are a long way. 895 00:49:00,239 --> 00:49:05,720 Speaker 2: Away from the soft bigotry, the soft anti semitism of 896 00:49:05,760 --> 00:49:08,799 Speaker 2: the Richard Nixons and LBJs of the world, right we 897 00:49:08,960 --> 00:49:12,320 Speaker 2: you know, listen, we're not denying that it happened. It 898 00:49:12,440 --> 00:49:15,560 Speaker 2: certainly happened. But I thought, you know, in the post 899 00:49:15,600 --> 00:49:19,239 Speaker 2: Reagan world, we were well beyond that. So me, I 900 00:49:19,320 --> 00:49:21,520 Speaker 2: come back to the idea of the question gets asked, 901 00:49:21,520 --> 00:49:25,840 Speaker 2: who benefits? Well, you know, there the Lord knows, the 902 00:49:25,920 --> 00:49:30,320 Speaker 2: Russians have never been particularly friendly to Jews. The Chinese 903 00:49:30,320 --> 00:49:35,239 Speaker 2: certainly benefit from keeping us turned against each other. And 904 00:49:35,320 --> 00:49:37,200 Speaker 2: to me, there's no great mystery that so much of 905 00:49:37,239 --> 00:49:40,640 Speaker 2: this has come up in the wake of the Russian 906 00:49:40,680 --> 00:49:43,680 Speaker 2: war with Ukraine, and as America takes a much stronger 907 00:49:43,800 --> 00:49:46,760 Speaker 2: position towards China, they want to turn us more against 908 00:49:46,800 --> 00:49:47,640 Speaker 2: each other, don't they. 909 00:49:48,680 --> 00:49:49,359 Speaker 5: Absolutely. 910 00:49:49,480 --> 00:49:53,200 Speaker 15: And anytime someone comes to me and they say like, 911 00:49:53,320 --> 00:49:56,640 Speaker 15: how could this be happening and people in America, and 912 00:49:56,680 --> 00:50:00,400 Speaker 15: I say, look, we really need to zoom out, zoom 913 00:50:00,400 --> 00:50:05,879 Speaker 15: out and pay attention to who's pulling the strings. Pay 914 00:50:05,920 --> 00:50:13,359 Speaker 15: attention to these foreign entities that are creating this. I know, 915 00:50:13,920 --> 00:50:18,080 Speaker 15: speaking personally, being someone whose job is on the internet, 916 00:50:18,120 --> 00:50:26,439 Speaker 15: on social media, I know firsthand how foreign agents can 917 00:50:26,680 --> 00:50:33,920 Speaker 15: use vot farms against different accounts to silence you. It 918 00:50:34,080 --> 00:50:38,480 Speaker 15: happened to me many many times leading up to the election, 919 00:50:40,120 --> 00:50:43,600 Speaker 15: and I've seen it time and time again with anything 920 00:50:43,760 --> 00:50:51,279 Speaker 15: regarding Israel, anything regarding conservatism, And it's just it's very 921 00:50:51,360 --> 00:50:53,600 Speaker 15: obvious to me if you look into a lot of 922 00:50:53,600 --> 00:50:56,040 Speaker 15: these accounts and what people are saying online, these they 923 00:50:56,040 --> 00:51:00,200 Speaker 15: are not even real people. So again, zoom out and 924 00:51:00,320 --> 00:51:05,240 Speaker 15: pay attention to who's doing this and think for a second. 925 00:51:05,040 --> 00:51:09,440 Speaker 2: Why right, and and ask yourself the question who benefits 926 00:51:09,440 --> 00:51:11,680 Speaker 2: you know, I'm reminded of it was one of those 927 00:51:11,719 --> 00:51:14,040 Speaker 2: things we watched the Tea Party movement sort of get 928 00:51:14,080 --> 00:51:17,319 Speaker 2: destroyed by the grifter class coming in, right. They saw 929 00:51:17,360 --> 00:51:20,200 Speaker 2: this movement, they saw how vibrant it was, so they 930 00:51:20,239 --> 00:51:24,239 Speaker 2: moved in to try to destroy it through a whole 931 00:51:24,320 --> 00:51:25,160 Speaker 2: host of ways. 932 00:51:25,480 --> 00:51:27,040 Speaker 3: And one of the grifters who. 933 00:51:26,880 --> 00:51:30,439 Speaker 2: Was involved in this, I know, right before January sixth, 934 00:51:30,560 --> 00:51:33,120 Speaker 2: right before the January sixth rally was taking place. It's 935 00:51:33,160 --> 00:51:37,920 Speaker 2: well documented this person got a massive influx of cryptocurrency 936 00:51:37,960 --> 00:51:40,319 Speaker 2: from outside the United States. And that sounds like a 937 00:51:40,360 --> 00:51:43,960 Speaker 2: conspiracy theory. But I'm not naming the name right now. 938 00:51:44,480 --> 00:51:46,520 Speaker 2: I'm happy to if you reach out to me privately, 939 00:51:46,520 --> 00:51:49,319 Speaker 2: happy to Unlike Cannas Owens, I'm happy to sort of 940 00:51:49,440 --> 00:51:50,120 Speaker 2: to sort of do this. 941 00:51:50,600 --> 00:51:51,920 Speaker 3: But you know, but that's just it. 942 00:51:52,080 --> 00:51:55,080 Speaker 2: You know, when we talk about foreign governments who want 943 00:51:55,120 --> 00:51:57,800 Speaker 2: to see us turn against each other, they are backing 944 00:51:57,840 --> 00:51:59,719 Speaker 2: it with huge amounts of money, aren't they. 945 00:52:00,680 --> 00:52:06,280 Speaker 15: Absolutely, And if you look at the last four years, 946 00:52:06,320 --> 00:52:10,160 Speaker 15: you can see how the Democratic Party that allowed a 947 00:52:10,239 --> 00:52:14,239 Speaker 15: lot of things to go unchecked, and we could talk 948 00:52:14,280 --> 00:52:18,480 Speaker 15: all day for the reasons why they and their movement 949 00:52:18,640 --> 00:52:26,600 Speaker 15: got completely demolished and exposed. And then the direct response 950 00:52:26,680 --> 00:52:30,520 Speaker 15: to that with the strengthening of the Conservative movement, tons 951 00:52:30,600 --> 00:52:37,480 Speaker 15: of moderate Democrats leaving the Democratic Party and becoming more conservative, 952 00:52:37,920 --> 00:52:41,120 Speaker 15: and everybody kind of meeting in the middle in this 953 00:52:41,200 --> 00:52:45,640 Speaker 15: way of Okay, well, we align on our basic beliefs 954 00:52:45,920 --> 00:52:49,399 Speaker 15: of what we think that this country stands for, and 955 00:52:49,840 --> 00:52:54,240 Speaker 15: that is a very, very very big threat to our enemies. 956 00:52:55,560 --> 00:52:58,240 Speaker 2: No, without a doubt, I mean, God forbid, Americans actually 957 00:52:58,239 --> 00:52:59,600 Speaker 2: come together to solve problems. 958 00:52:59,800 --> 00:53:02,879 Speaker 3: We act with great resolve, right. 959 00:53:03,080 --> 00:53:04,759 Speaker 2: I mean, it's one of those things where in the 960 00:53:04,760 --> 00:53:07,360 Speaker 2: wake of nine to eleven, for instance, there was a 961 00:53:07,520 --> 00:53:10,560 Speaker 2: moment where we were all together and then within a 962 00:53:10,560 --> 00:53:14,720 Speaker 2: couple of days, because folks couldn't handle Americans actually coming 963 00:53:14,719 --> 00:53:18,080 Speaker 2: together to face a common foe, there were folks who 964 00:53:18,120 --> 00:53:20,800 Speaker 2: wanted to turn their attention, Oh, this is George Bush's fault. 965 00:53:21,040 --> 00:53:23,839 Speaker 2: What was George Bush doing? There's this, there's that, you know. 966 00:53:23,920 --> 00:53:25,759 Speaker 2: Nine to eleven was an inside of all of those things, 967 00:53:25,800 --> 00:53:28,320 Speaker 2: which are all, by the way, related to the same people. 968 00:53:28,640 --> 00:53:30,839 Speaker 2: Let me ask you this, Rachel. We're talking with Rachel Moon. 969 00:53:30,920 --> 00:53:33,960 Speaker 2: She is a social media content creator, strong advocate for 970 00:53:34,480 --> 00:53:39,240 Speaker 2: Jewish American values. Just turning our attention to the issue 971 00:53:39,239 --> 00:53:41,960 Speaker 2: of being a social media content creator because the other 972 00:53:42,120 --> 00:53:45,680 Speaker 2: part of this is we've spent so much time and effort, 973 00:53:45,800 --> 00:53:49,879 Speaker 2: rightly so making sure that the large social media platforms 974 00:53:50,360 --> 00:53:54,239 Speaker 2: don't shadow band conservative voices. Now we seem to be 975 00:53:54,280 --> 00:53:57,120 Speaker 2: doing it to ourselves. How have you been impacted by this? 976 00:53:57,200 --> 00:53:58,800 Speaker 2: I mean, are you one of those folks who was 977 00:53:58,800 --> 00:54:04,000 Speaker 2: caught in the wake of know YouTube devaluing various platforms. 978 00:54:04,840 --> 00:54:07,120 Speaker 2: I'm somebody who's my social media reach has been very limited. 979 00:54:07,600 --> 00:54:09,320 Speaker 2: I don't know if I'm shadow banded or just nobody 980 00:54:09,360 --> 00:54:11,279 Speaker 2: likes me as it happened to you. 981 00:54:12,280 --> 00:54:16,520 Speaker 15: I yeah, absolutely, And I've had to kind of do 982 00:54:16,800 --> 00:54:21,320 Speaker 15: some deep dives on what's going on with social media. 983 00:54:21,320 --> 00:54:25,200 Speaker 15: I've been listening to a lot of podcasts with you know, 984 00:54:25,280 --> 00:54:28,640 Speaker 15: people at Meta and just various things to try to 985 00:54:28,680 --> 00:54:31,080 Speaker 15: figure out. Okay, I don't want to be someone that's 986 00:54:31,160 --> 00:54:33,759 Speaker 15: like just making it about me. Oh I want to 987 00:54:33,800 --> 00:54:37,560 Speaker 15: be shadow band because I'm speaking out about October seventh, 988 00:54:37,640 --> 00:54:40,400 Speaker 15: or I must be shadow band because I'm pro Trump, 989 00:54:40,480 --> 00:54:43,400 Speaker 15: or I must so instead of that, let me see 990 00:54:43,400 --> 00:54:45,800 Speaker 15: what's really going on. And there's a couple of things. 991 00:54:45,840 --> 00:54:49,279 Speaker 15: One thing that social media isn't what it once was, right, 992 00:54:49,600 --> 00:54:51,840 Speaker 15: and we kind of knew that that was going to happen. 993 00:54:52,120 --> 00:54:55,960 Speaker 15: When people's attention spans went from a thirty second video 994 00:54:56,040 --> 00:54:58,680 Speaker 15: to a fifteen second video, you had to get them 995 00:54:59,040 --> 00:55:01,799 Speaker 15: within fifteen Now it's like, if you don't have that 996 00:55:01,880 --> 00:55:05,680 Speaker 15: hook in two seconds, they're out. And so social media 997 00:55:05,920 --> 00:55:09,640 Speaker 15: started tracking these kind of metrics. How long does someone 998 00:55:09,719 --> 00:55:13,720 Speaker 15: stand someone's post, what kind of content are they they into? 999 00:55:14,320 --> 00:55:17,240 Speaker 15: And really, you know, a thousand lights on a post 1000 00:55:18,239 --> 00:55:19,640 Speaker 15: now it's one hundred lights. 1001 00:55:19,840 --> 00:55:23,399 Speaker 2: Wow, Hey Rachel, Unfortunately we got we got to leave 1002 00:55:23,400 --> 00:55:25,600 Speaker 2: it there, my friend. Thank you so very much. Listen, 1003 00:55:25,640 --> 00:55:27,640 Speaker 2: happy Hanika, it to you. Look forward to having you 1004 00:55:27,680 --> 00:55:30,920 Speaker 2: back at some point for having me. Take care, appreciate it. 1005 00:55:31,280 --> 00:55:31,879 Speaker 2: When we come back. 1006 00:55:31,880 --> 00:55:32,960 Speaker 3: We got cam' strang. 1007 00:55:33,440 --> 00:55:36,960 Speaker 2: He's a managing director of Americans for Prosperity. So much 1008 00:55:37,040 --> 00:55:39,840 Speaker 2: more to come here on Tony Katz Today. I'm Andrew Langer. 1009 00:55:40,080 --> 00:55:47,480 Speaker 2: This is, of course Tony Katz Today. Well, welcome back everybody. 1010 00:55:47,520 --> 00:55:50,920 Speaker 2: I'm Andrew Langer and for Tony Katz Today. On Tony 1011 00:55:51,000 --> 00:55:55,680 Speaker 2: Katz Today, Happy Festivus, Festivus for the rest of us, 1012 00:55:55,680 --> 00:55:59,960 Speaker 2: to all of you, Happynica, Merry Christmas. I'm here today, 1013 00:56:00,000 --> 00:56:03,839 Speaker 2: I'm here tomorrow. I always love sitting in for Tony here. 1014 00:56:04,320 --> 00:56:06,239 Speaker 2: By the way, I was just out in India a 1015 00:56:06,280 --> 00:56:10,200 Speaker 2: couple of weeks ago visiting a novartist facility. I want 1016 00:56:10,200 --> 00:56:14,400 Speaker 2: to get somebody on there to talk about innovation and 1017 00:56:14,440 --> 00:56:17,640 Speaker 2: the climate of innovation, which relates to the issue of 1018 00:56:17,640 --> 00:56:20,720 Speaker 2: affordability and joining us right now. His name is Kent Strang. 1019 00:56:20,800 --> 00:56:24,320 Speaker 2: He's a managing director at Americans for Prosperity. The website 1020 00:56:24,400 --> 00:56:27,319 Speaker 2: is Americans for Prosperity dot org. You can catch him 1021 00:56:27,320 --> 00:56:31,400 Speaker 2: on Newsmax every Thursday morning at nine thirty am. He's 1022 00:56:31,480 --> 00:56:39,560 Speaker 2: graduated to those weekday segments. I'm still a weekend utility infielder, Kent. 1023 00:56:39,960 --> 00:56:42,239 Speaker 2: I get called in on those random weekend segments where 1024 00:56:42,280 --> 00:56:46,720 Speaker 2: they need somebody. But talking about affordability obviously a big, 1025 00:56:46,880 --> 00:56:49,880 Speaker 2: big topic of discussion. The Vice President talked about it 1026 00:56:50,200 --> 00:56:55,440 Speaker 2: at Turning Point USA. Obviously on a lot of people's minds. 1027 00:56:55,960 --> 00:56:57,440 Speaker 2: I'm not going to say it's a made up word. 1028 00:56:57,440 --> 00:56:58,839 Speaker 2: I don't think it's a made up word. I think 1029 00:56:59,760 --> 00:57:02,640 Speaker 2: it's important. But the Democrats are culpable. That was what 1030 00:57:02,719 --> 00:57:04,200 Speaker 2: the President was trying to say, isn't it. 1031 00:57:07,600 --> 00:57:09,680 Speaker 6: Trump was trying to say, and like, look, let's go 1032 00:57:09,840 --> 00:57:12,440 Speaker 6: back in time, and Chuck Schumer is talking about how 1033 00:57:12,440 --> 00:57:16,080 Speaker 6: he's going to have Democrats be wayser focused on affordability, 1034 00:57:16,080 --> 00:57:20,320 Speaker 6: But they have no business lecturing the American people on affordability. 1035 00:57:20,400 --> 00:57:24,439 Speaker 6: Under Joe Biden and Chuck Schumer's leadership, they passed five 1036 00:57:24,560 --> 00:57:28,760 Speaker 6: point five brillion dollars in new spending that cost forty 1037 00:57:28,840 --> 00:57:32,280 Speaker 6: year high inflation, and that cost the average American family 1038 00:57:32,360 --> 00:57:36,560 Speaker 6: eleven thousand, four hundred dollars more just to maintain their 1039 00:57:36,600 --> 00:57:41,120 Speaker 6: current lifestyle. And if Schumer and his folks at their way, 1040 00:57:41,480 --> 00:57:44,360 Speaker 6: Americans would be bracing for the biggest tax tike in 1041 00:57:44,400 --> 00:57:48,000 Speaker 6: American history because they all oppose President Trump's extension of 1042 00:57:48,000 --> 00:57:50,760 Speaker 6: the twenty seventeen tax guys. And so I think they 1043 00:57:50,800 --> 00:57:53,720 Speaker 6: were right not to not to fall into the trap 1044 00:57:53,800 --> 00:57:57,880 Speaker 6: that this is a Republican unaffordability crisis. This is very 1045 00:57:58,040 --> 00:58:01,520 Speaker 6: clearly a Democrat unafordable crisis that they created. 1046 00:58:02,120 --> 00:58:04,080 Speaker 2: Yeah, can let me ask you this, because we were 1047 00:58:04,120 --> 00:58:06,520 Speaker 2: talking about this in the first hour of the show. 1048 00:58:07,280 --> 00:58:11,920 Speaker 2: As Joe Biden was leaving office, they they called they 1049 00:58:12,080 --> 00:58:15,160 Speaker 2: ordered the killing of more than one hundred million chickens, 1050 00:58:15,200 --> 00:58:19,160 Speaker 2: which led to poultry and egg prices to skyrocket. They 1051 00:58:19,320 --> 00:58:23,280 Speaker 2: finally started coming down in the spring and summertime when 1052 00:58:23,640 --> 00:58:27,240 Speaker 2: those those flocks began to began to come back. Have 1053 00:58:27,320 --> 00:58:31,720 Speaker 2: the Democrats ever allowed market forces to actually bring down 1054 00:58:31,760 --> 00:58:32,520 Speaker 2: the price of goods? 1055 00:58:32,560 --> 00:58:35,040 Speaker 3: They haven't. They've always stood in the way of that, haven't. 1056 00:58:34,760 --> 00:58:38,240 Speaker 6: They They do, and they think the government is there 1057 00:58:38,280 --> 00:58:40,640 Speaker 6: to solve all of our problems, and they want the 1058 00:58:40,680 --> 00:58:43,200 Speaker 6: economy to bend it their will. And let's look at 1059 00:58:43,200 --> 00:58:46,560 Speaker 6: their green new scam energy policies, right. We see again, 1060 00:58:46,680 --> 00:58:50,480 Speaker 6: under the Biden administration, electricity prices went up twenty percent, 1061 00:58:50,760 --> 00:58:54,640 Speaker 6: home heating oil went up seventy percent. We all remember 1062 00:58:54,760 --> 00:58:58,560 Speaker 6: the pain of five dollars gas under the Biden administration. 1063 00:58:58,920 --> 00:59:01,720 Speaker 6: And what Republicans, the President Trump is still climbing their 1064 00:59:01,760 --> 00:59:04,600 Speaker 6: way out of those failures, not only from not only 1065 00:59:04,600 --> 00:59:08,479 Speaker 6: from energy prices, but from their tax prices there, from 1066 00:59:08,520 --> 00:59:11,720 Speaker 6: their spending. Everything they've done at the border they have 1067 00:59:11,840 --> 00:59:14,400 Speaker 6: to undo. And it's taking a little bit of time 1068 00:59:14,600 --> 00:59:17,280 Speaker 6: to get out of the whole of bidnomics, right. 1069 00:59:17,320 --> 00:59:19,200 Speaker 2: I mean, it gets down to it in the same 1070 00:59:19,240 --> 00:59:24,200 Speaker 2: way that you can chart the crime statistics and the 1071 00:59:24,440 --> 00:59:29,160 Speaker 2: urban areas that are run by Democrats, they have a larger, 1072 00:59:29,760 --> 00:59:30,640 Speaker 2: they have worse crime. 1073 00:59:30,720 --> 00:59:32,040 Speaker 3: I mean, it's just just the way it is. 1074 00:59:32,520 --> 00:59:35,560 Speaker 2: You have pro criminal policies, you have anti gun policies, 1075 00:59:35,840 --> 00:59:39,000 Speaker 2: it's going to lead to more crime in these areas. 1076 00:59:38,800 --> 00:59:42,240 Speaker 2: The same thing can be said about states where things 1077 00:59:42,320 --> 00:59:45,920 Speaker 2: like energy and gas prices are high. Gas prices are 1078 00:59:46,000 --> 00:59:51,000 Speaker 2: higher in Democrat run states, aren't they Well, they certainly are. 1079 00:59:51,080 --> 00:59:53,480 Speaker 6: I mean, let's look at where we are right now 1080 00:59:53,560 --> 00:59:57,840 Speaker 6: with gas prices. When when we're down to the national 1081 00:59:57,840 --> 00:59:59,600 Speaker 6: average of a gallon of gases at two dollars and 1082 00:59:59,640 --> 01:00:02,600 Speaker 6: seventy nine cents, this is the first time since May 1083 01:00:02,760 --> 01:00:05,680 Speaker 6: of twenty twenty one that the national average has been 1084 01:00:05,800 --> 01:00:08,720 Speaker 6: under three dollars. And to your exact point, if you 1085 01:00:08,800 --> 01:00:14,080 Speaker 6: want to see what failed Democrat policies do, look at California. 1086 01:00:14,120 --> 01:00:15,880 Speaker 2: What is their average right now? 1087 01:00:15,920 --> 01:00:19,760 Speaker 6: It's four dollars and fifty one cents a gallon under 1088 01:00:19,800 --> 01:00:23,720 Speaker 6: the failed policies of Gavin Newsom. All take that inexpensive 1089 01:00:23,840 --> 01:00:25,920 Speaker 6: gas any day of the week over that. 1090 01:00:26,680 --> 01:00:30,200 Speaker 2: No, without a doubt. I mean, these things matter, These 1091 01:00:30,200 --> 01:00:32,680 Speaker 2: policies matter. You also, you go Hawaii is another prime 1092 01:00:32,720 --> 01:00:36,640 Speaker 2: in the Hawaii's an island but still Democratic run high 1093 01:00:36,680 --> 01:00:40,480 Speaker 2: prices there. You know Maryland certainly when you had the 1094 01:00:40,520 --> 01:00:43,680 Speaker 2: gas tax rate hike. Here's the thing that gets me right, Kent. 1095 01:00:43,760 --> 01:00:46,880 Speaker 2: And we're talking with Ken Strang. He's the managing director 1096 01:00:47,000 --> 01:00:50,840 Speaker 2: of Americans for Prosperity in Virginia. 1097 01:00:51,040 --> 01:00:52,120 Speaker 3: I know you talk about Chuck. 1098 01:00:51,960 --> 01:00:54,680 Speaker 2: Schumer in New York and Chuck Schumer and the Senate, 1099 01:00:55,080 --> 01:01:00,120 Speaker 2: But in Virginia, during the twenty twenty five gubernatorial campaign, 1100 01:01:00,200 --> 01:01:05,160 Speaker 2: Abby Spanberger ran on this platform of pushing back against you, 1101 01:01:05,320 --> 01:01:09,160 Speaker 2: talking about affordability and essentially trying to blame the Virginian's 1102 01:01:09,200 --> 01:01:14,440 Speaker 2: affordability crisis on Donald Trump and Republicans. And yet so 1103 01:01:14,680 --> 01:01:17,640 Speaker 2: much of this is due to democratic policies. 1104 01:01:17,760 --> 01:01:19,280 Speaker 3: I'll add to what you said earlier. 1105 01:01:20,040 --> 01:01:22,760 Speaker 2: You know, our colleagues, whether it's at sea, pack are 1106 01:01:22,760 --> 01:01:28,320 Speaker 2: Americans for Prosperity, mercadis wherever CEI. We know that regulatory 1107 01:01:28,440 --> 01:01:31,360 Speaker 2: costs almost doubled in the four years of Joe Biden. 1108 01:01:31,440 --> 01:01:35,560 Speaker 2: It went up to almost four trillion dollars annually. That 1109 01:01:35,640 --> 01:01:38,840 Speaker 2: has an effect on affordability, doesn't it? 1110 01:01:38,840 --> 01:01:41,800 Speaker 6: It certainly does, And I think it's really critical for 1111 01:01:41,920 --> 01:01:44,960 Speaker 6: President Trump and the Republican Conference to take the affordability 1112 01:01:45,000 --> 01:01:47,360 Speaker 6: stuff very seriously, and I think they need to do 1113 01:01:47,640 --> 01:01:50,360 Speaker 6: two things. Number one is they need to talk about 1114 01:01:50,360 --> 01:01:53,240 Speaker 6: what they have already done. They made the twenty seventeen 1115 01:01:53,320 --> 01:01:56,080 Speaker 6: tax cuts permanent, with the Working Family tax Cuts or 1116 01:01:56,320 --> 01:01:58,760 Speaker 6: the One Big Beautiful Bill, whatever we want to call it. 1117 01:01:58,840 --> 01:02:01,120 Speaker 6: That doubled the standard deduction, which is going to make 1118 01:02:01,120 --> 01:02:05,480 Speaker 6: people's taxes easier. It lowered energy cost, expanded energy production. 1119 01:02:05,600 --> 01:02:09,080 Speaker 6: It delivered long term certainty for small businesses one hundred 1120 01:02:09,120 --> 01:02:14,080 Speaker 6: percent of depreciation for equipment, so businesses can reinvest, thrive, grow, 1121 01:02:14,240 --> 01:02:17,280 Speaker 6: hire more people. It cut one and a half trillion 1122 01:02:17,360 --> 01:02:21,440 Speaker 6: dollars in weights. But we can't just rest on our world. 1123 01:02:21,520 --> 01:02:24,760 Speaker 6: They need to continue to go further to the regulatory point. 1124 01:02:25,120 --> 01:02:28,000 Speaker 6: What Congress and President Trump should really be focused on 1125 01:02:28,440 --> 01:02:32,200 Speaker 6: is permitting reform. There is so much red tape, There 1126 01:02:32,200 --> 01:02:35,880 Speaker 6: are so many rules. It takes longer to get permits 1127 01:02:35,960 --> 01:02:38,600 Speaker 6: for projects, and it does two actually build the project 1128 01:02:38,720 --> 01:02:42,440 Speaker 6: right and so, and it's so important not only for housing, 1129 01:02:42,960 --> 01:02:46,680 Speaker 6: it's important for energy transmission lines and to deliver energy 1130 01:02:46,680 --> 01:02:50,200 Speaker 6: for Americans, but also it's for the AI rate that 1131 01:02:50,240 --> 01:02:52,480 Speaker 6: if we want to compete with China and win the 1132 01:02:52,520 --> 01:02:55,280 Speaker 6: AI rates and be the leaders of the next Internet, 1133 01:02:55,360 --> 01:02:59,040 Speaker 6: the next wheel, the next industrial revolution. We need to 1134 01:02:59,040 --> 01:03:00,920 Speaker 6: be able to have permitting or form to both get 1135 01:03:00,920 --> 01:03:03,840 Speaker 6: those projects started. If we don't deal with the regulatory state, 1136 01:03:03,880 --> 01:03:04,880 Speaker 6: the red tape, we're in. 1137 01:03:04,840 --> 01:03:07,920 Speaker 2: Trouble, right. I mean, it's it's one of those things where, 1138 01:03:08,560 --> 01:03:12,000 Speaker 2: you know, I had a conversation. One of the issues 1139 01:03:12,040 --> 01:03:15,400 Speaker 2: I've dealt with in the past is shipping, ship repair, 1140 01:03:15,520 --> 01:03:18,600 Speaker 2: and ship building. And there's been a movement over the 1141 01:03:18,600 --> 01:03:22,280 Speaker 2: course of decades to offshore America's shipbuilding, and there are problems, 1142 01:03:22,280 --> 01:03:24,480 Speaker 2: and we've got this, we got this Jones Act. We 1143 01:03:24,520 --> 01:03:26,360 Speaker 2: can go back and forth about the logic of the 1144 01:03:26,440 --> 01:03:28,800 Speaker 2: Jones Act, but the Jones Act was supposed to protect 1145 01:03:28,840 --> 01:03:32,200 Speaker 2: American shipbuilding and American ship repair. I had a conversation 1146 01:03:32,280 --> 01:03:34,760 Speaker 2: with somebody down near Newport News, Virginia, which is one 1147 01:03:34,760 --> 01:03:36,800 Speaker 2: of one of the still one of the last remaining 1148 01:03:37,040 --> 01:03:44,080 Speaker 2: big shipbuilding plants is factories, is shipyards, and they said 1149 01:03:44,120 --> 01:03:47,000 Speaker 2: the number one problem that they have is permitting. You know, 1150 01:03:47,080 --> 01:03:50,680 Speaker 2: if you can't build new shipbuilding and ship repair facilities 1151 01:03:50,720 --> 01:03:53,400 Speaker 2: in the United States because it takes decades to get 1152 01:03:53,440 --> 01:03:58,000 Speaker 2: the permitting done, it puts America at a fundamental disadvantage. 1153 01:03:58,080 --> 01:04:00,800 Speaker 2: You're right, a whole host of things. If we want 1154 01:04:00,840 --> 01:04:04,880 Speaker 2: to make sure that America can grow leaps and bounds 1155 01:04:05,520 --> 01:04:07,720 Speaker 2: on the area of AI, and we want to make 1156 01:04:07,720 --> 01:04:11,640 Speaker 2: sure that America's electricity isn't siphoned off for this, the 1157 01:04:11,640 --> 01:04:13,480 Speaker 2: only way you can deal with it is by building 1158 01:04:13,520 --> 01:04:17,840 Speaker 2: more coal fire power, changing the permitting for nuclear power 1159 01:04:17,880 --> 01:04:20,960 Speaker 2: so that maybe some of these data processing facilities, these 1160 01:04:21,040 --> 01:04:24,480 Speaker 2: data centers can have you know, nuclear reactors on site. 1161 01:04:24,600 --> 01:04:26,080 Speaker 2: This is what you're talking about, isn't it. 1162 01:04:26,880 --> 01:04:29,360 Speaker 6: That's exactly what we're talking about, and it's across all 1163 01:04:29,400 --> 01:04:30,160 Speaker 6: of our industry. 1164 01:04:30,520 --> 01:04:31,840 Speaker 2: You were talking to shipbuilders. 1165 01:04:31,880 --> 01:04:34,000 Speaker 6: I was in Louisiana a couple of weeks ago when 1166 01:04:34,000 --> 01:04:36,920 Speaker 6: we were touring inland barges where they produced energy, and 1167 01:04:37,320 --> 01:04:39,920 Speaker 6: we had a boat captain who had taken us inside 1168 01:04:39,960 --> 01:04:42,880 Speaker 6: the Gulf of America and he showed us the facility 1169 01:04:42,920 --> 01:04:45,800 Speaker 6: that was dead. It was it was gone, and weeds 1170 01:04:45,840 --> 01:04:48,400 Speaker 6: were growing up. And we said, hey, what happened to this? 1171 01:04:48,600 --> 01:04:52,000 Speaker 6: And we did not prompt our boat captain He said, oh, 1172 01:04:52,280 --> 01:04:55,440 Speaker 6: permitting killed this one. The government led the facilities, and 1173 01:04:55,480 --> 01:04:58,240 Speaker 6: it's a great example of like it. They could probably 1174 01:04:58,280 --> 01:05:01,360 Speaker 6: restart it in a matter of or months. I don't 1175 01:05:01,360 --> 01:05:04,400 Speaker 6: know exactly how long, but it's like when permitting becomes 1176 01:05:04,480 --> 01:05:07,520 Speaker 6: the problem, so you can't build anything. Now. Congress has 1177 01:05:07,560 --> 01:05:10,160 Speaker 6: been working on this. Just last week the House of 1178 01:05:10,200 --> 01:05:13,000 Speaker 6: Representatives pass what's called the Speed Act, so they can 1179 01:05:13,040 --> 01:05:16,160 Speaker 6: have very specific timelines on these things, like this is 1180 01:05:16,200 --> 01:05:17,800 Speaker 6: how long it's going to take to get a permit, 1181 01:05:17,880 --> 01:05:20,400 Speaker 6: this is how long you have to review all of 1182 01:05:20,440 --> 01:05:23,360 Speaker 6: the legal challenges that can take place. Because of course, 1183 01:05:23,360 --> 01:05:24,880 Speaker 6: we want it to be safe. We don't want to 1184 01:05:24,920 --> 01:05:27,680 Speaker 6: destroy our environment or anything like that. We want projects 1185 01:05:27,720 --> 01:05:31,120 Speaker 6: to be good and well thought out. But at the 1186 01:05:31,200 --> 01:05:33,840 Speaker 6: same time, we need that sort of certainty around how 1187 01:05:33,880 --> 01:05:36,840 Speaker 6: long projects will take. Hopefully the Senate picks that up 1188 01:05:36,880 --> 01:05:39,080 Speaker 6: when they get into the twenty twenty six, but we 1189 01:05:39,160 --> 01:05:41,720 Speaker 6: need permitting reform on a bunch of different fronts, whether 1190 01:05:41,760 --> 01:05:45,080 Speaker 6: it's for shipbuilding or whether it's for delivering energy for 1191 01:05:45,200 --> 01:05:46,080 Speaker 6: us to be competitive. 1192 01:05:46,640 --> 01:05:48,240 Speaker 2: Cam before I let you go, because one of the 1193 01:05:48,280 --> 01:05:50,720 Speaker 2: other great things that Americans for Prosperity has done, and 1194 01:05:50,760 --> 01:05:53,240 Speaker 2: the website is Americans for Prosperity dot org. 1195 01:05:53,880 --> 01:05:55,960 Speaker 3: It's and your Twitter handle. 1196 01:05:55,720 --> 01:06:00,400 Speaker 2: Can for America. Am I right? That's right? Yeah, America. 1197 01:06:00,960 --> 01:06:05,280 Speaker 2: So let's talk about what they've done on the cafe standards, 1198 01:06:05,280 --> 01:06:09,040 Speaker 2: a fuel economy standards, and making driving more affordable. Again, 1199 01:06:09,080 --> 01:06:12,120 Speaker 2: it's not just gas prices, but the cost of cars 1200 01:06:12,200 --> 01:06:15,439 Speaker 2: is going to start coming down, isn't it. That's right. 1201 01:06:15,560 --> 01:06:19,560 Speaker 6: The President Biden set out a new standard during his 1202 01:06:19,640 --> 01:06:22,760 Speaker 6: administration that was going to increase the number of miles 1203 01:06:22,800 --> 01:06:25,760 Speaker 6: per gallon that new cars were required to do. President 1204 01:06:25,800 --> 01:06:27,919 Speaker 6: and Trump came in and he rolled that back because 1205 01:06:27,920 --> 01:06:30,840 Speaker 6: again President Biden wanted what he wanted to force everybody 1206 01:06:31,160 --> 01:06:33,760 Speaker 6: into electric cars, and rather than letting the free market 1207 01:06:33,840 --> 01:06:34,520 Speaker 6: choose the kind. 1208 01:06:34,400 --> 01:06:36,600 Speaker 2: Of cars we want to drive, Biden and his. 1209 01:06:36,560 --> 01:06:40,360 Speaker 6: Administration wanted to force it. President Trump administrations rolled that back, 1210 01:06:40,520 --> 01:06:43,160 Speaker 6: and that's going to save the average American on a 1211 01:06:43,240 --> 01:06:46,280 Speaker 6: new car over a thousand dollars. These are the kind 1212 01:06:46,280 --> 01:06:48,760 Speaker 6: of things to put money back in americans pockets that 1213 01:06:48,840 --> 01:06:52,000 Speaker 6: Republicans can continue to focus on. And let's show the 1214 01:06:52,040 --> 01:06:55,600 Speaker 6: American people that these policies work, they make life more affordable, 1215 01:06:55,600 --> 01:06:58,200 Speaker 6: and we move on from the failures of Biden outics. 1216 01:06:58,440 --> 01:07:00,800 Speaker 2: Hold on for Selja Kenton, because you never By the way, 1217 01:07:00,800 --> 01:07:02,320 Speaker 2: here's I don't know how much you do. You do 1218 01:07:02,400 --> 01:07:03,840 Speaker 2: news Max every Thursday morning. 1219 01:07:04,400 --> 01:07:05,040 Speaker 3: You never do. 1220 01:07:05,640 --> 01:07:07,280 Speaker 2: I don't know how much you do radio. But here's 1221 01:07:07,360 --> 01:07:09,120 Speaker 2: here's something you should know about radio. Should never do 1222 01:07:09,160 --> 01:07:12,040 Speaker 2: math on the air. I'm about to I'm about to 1223 01:07:12,080 --> 01:07:14,200 Speaker 2: go and do some math on the air. Gas. You 1224 01:07:14,200 --> 01:07:16,480 Speaker 2: said gas prices right now, we're two seventy nine a gallon. 1225 01:07:17,920 --> 01:07:20,480 Speaker 2: That's right, all right, hold on for a second. So 1226 01:07:20,840 --> 01:07:23,880 Speaker 2: so so at two seventy nine a gallon, that savings 1227 01:07:23,920 --> 01:07:26,040 Speaker 2: of one thousand dollars on the cost of a car 1228 01:07:26,200 --> 01:07:28,640 Speaker 2: would right now buy you three hundred and fifty eight 1229 01:07:28,640 --> 01:07:32,840 Speaker 2: gallons of gas. I'm here. You know that's almost a 1230 01:07:32,880 --> 01:07:35,200 Speaker 2: full year's worth of gas. You beginning for free. I 1231 01:07:35,200 --> 01:07:37,640 Speaker 2: mean that's I mean these we have to be putting 1232 01:07:37,640 --> 01:07:39,920 Speaker 2: these things in real world terms, don't we. 1233 01:07:41,560 --> 01:07:44,760 Speaker 6: That's right, And I think that's what's so important for 1234 01:07:45,080 --> 01:07:47,640 Speaker 6: conservatives to president to do right now, it's put us 1235 01:07:47,640 --> 01:07:50,600 Speaker 6: in real terms. Let's talk about how tax cuts save 1236 01:07:50,640 --> 01:07:51,240 Speaker 6: people money. 1237 01:07:51,240 --> 01:07:51,479 Speaker 1: Again. 1238 01:07:51,520 --> 01:07:53,960 Speaker 6: If Democrats had their way, we would be facing the 1239 01:07:53,960 --> 01:07:56,919 Speaker 6: biggest taxic in American history. The one big, beautiful bill 1240 01:07:56,960 --> 01:08:02,200 Speaker 6: will save Americans over fifteen hundred dollars on average. Policies 1241 01:08:02,240 --> 01:08:07,760 Speaker 6: like lower gas prices save Americans. Removing cafe standards save Americans. 1242 01:08:07,840 --> 01:08:12,160 Speaker 6: Unleashing American energy, We'll save Americans money. Let's continue to 1243 01:08:12,160 --> 01:08:14,880 Speaker 6: tell that story so people people feel it and we 1244 01:08:14,920 --> 01:08:16,439 Speaker 6: don't just have to talk to him about it. 1245 01:08:16,680 --> 01:08:18,680 Speaker 2: All right, Well, Kent listen, Thank you so very much. 1246 01:08:18,720 --> 01:08:21,800 Speaker 2: As his his ax handle is Kent for America, Ken 1247 01:08:21,840 --> 01:08:24,240 Speaker 2: Strang from Americans for Prosperity. Thank you so very much 1248 01:08:24,280 --> 01:08:24,840 Speaker 2: for joining us. 1249 01:08:25,439 --> 01:08:27,240 Speaker 6: Thank you so much for having Merry Christmas. 1250 01:08:27,439 --> 01:08:29,680 Speaker 2: And we'll talk a little bit more about affordability in 1251 01:08:29,680 --> 01:08:32,240 Speaker 2: a moment. I'm Andrew Langer. This is Tony Kats today. 1252 01:08:32,560 --> 01:08:35,400 Speaker 2: By the way, uh talking with Landing off the air 1253 01:08:35,439 --> 01:08:38,880 Speaker 2: about Tony and I'm having a Christmas land and that 1254 01:08:38,960 --> 01:08:41,400 Speaker 2: Tony would be proud of. I'm not. I'm making making 1255 01:08:41,439 --> 01:08:45,160 Speaker 2: two different cuts of beef for for making doing making 1256 01:08:45,200 --> 01:08:47,559 Speaker 2: a try tip and doing a boneless rib roast. 1257 01:08:47,640 --> 01:08:48,680 Speaker 3: I'm very excited about this. 1258 01:08:48,920 --> 01:08:51,080 Speaker 2: That's nothing I'm sure I love. Oh yeah, he would, 1259 01:08:51,080 --> 01:08:52,639 Speaker 2: he would absolutely do that. I don't know. I got 1260 01:08:52,640 --> 01:08:54,080 Speaker 2: to talk to him. I don't know if he's ever 1261 01:08:54,120 --> 01:08:57,800 Speaker 2: done on his E Drink smoke show. I'm not even 1262 01:08:57,800 --> 01:08:59,280 Speaker 2: sure we're allowed to talk about it. But I will. 1263 01:08:59,560 --> 01:09:01,879 Speaker 3: I I've fat washed some bourbon. 1264 01:09:02,600 --> 01:09:04,200 Speaker 2: I know, have you've ever heard about this, But that's 1265 01:09:04,200 --> 01:09:09,639 Speaker 2: where you essentially of you steep some kind of flavorful fat. 1266 01:09:09,680 --> 01:09:13,040 Speaker 2: In this case, I did a bacon a bacon bourbon, 1267 01:09:13,280 --> 01:09:15,519 Speaker 2: and I also did a peanut butter bourbon based upon 1268 01:09:15,600 --> 01:09:16,600 Speaker 2: something that I'd seen on it. 1269 01:09:16,720 --> 01:09:17,200 Speaker 3: Both both of. 1270 01:09:17,200 --> 01:09:19,760 Speaker 2: Them were really good. That sounds awesome on you about 1271 01:09:19,760 --> 01:09:20,200 Speaker 2: these things. 1272 01:09:20,400 --> 01:09:22,240 Speaker 3: So anyway, I want to just stick. 1273 01:09:22,000 --> 01:09:26,600 Speaker 2: A pin in this right now, this issue of the 1274 01:09:26,680 --> 01:09:32,120 Speaker 2: economy and affordability. Here is Kevin Hassett on the National 1275 01:09:32,120 --> 01:09:35,439 Speaker 2: Council of Economics. Here he is on face the nation 1276 01:09:36,080 --> 01:09:38,360 Speaker 2: talking about the terrificial let's play cut number twenty four. 1277 01:09:39,000 --> 01:09:42,120 Speaker 8: I think that most of the tariffs that we passed 1278 01:09:42,160 --> 01:09:45,759 Speaker 8: this year have proven their metal. We've got still high growth, 1279 01:09:45,840 --> 01:09:48,120 Speaker 8: which people said we couldn't if we had tariffs. We 1280 01:09:48,280 --> 01:09:52,719 Speaker 8: have reduction in the deficit, reduction in the trade deficit. 1281 01:09:52,800 --> 01:09:55,479 Speaker 8: Imparts from China are the lowest they've been since China 1282 01:09:55,560 --> 01:09:58,519 Speaker 8: entered the WTO. So there's a lot of success to 1283 01:09:58,600 --> 01:10:01,639 Speaker 8: crow about in the terriffs. But there are also things 1284 01:10:01,720 --> 01:10:05,240 Speaker 8: that we're hearing when we talk to people, like trading 1285 01:10:05,280 --> 01:10:07,439 Speaker 8: partners and companies that trade a lot in the US. 1286 01:10:07,680 --> 01:10:08,880 Speaker 5: There are also things. 1287 01:10:08,680 --> 01:10:12,280 Speaker 8: That maybe could be adjusted. You saw that we decided 1288 01:10:12,439 --> 01:10:15,640 Speaker 8: to exempt coffee, for example, because we don't make a 1289 01:10:15,680 --> 01:10:19,439 Speaker 8: lot of coffee in the US. And I think that 1290 01:10:20,080 --> 01:10:22,920 Speaker 8: if there's something that's not made in the US at all, 1291 01:10:23,560 --> 01:10:26,400 Speaker 8: that there's an appetite and Jamison Greer is leading the 1292 01:10:26,400 --> 01:10:29,240 Speaker 8: effort to study in these matters, there's an appetite to 1293 01:10:29,320 --> 01:10:31,639 Speaker 8: exempt things if they're really not meant. 1294 01:10:31,520 --> 01:10:34,120 Speaker 5: To be made in the US, because we can. 1295 01:10:33,760 --> 01:10:34,200 Speaker 3: End it there. 1296 01:10:34,400 --> 01:10:36,320 Speaker 2: And here's the thing, right, I mean, you know to 1297 01:10:36,360 --> 01:10:39,280 Speaker 2: hear Steve Forbes talk about it, not Steve Moore, but 1298 01:10:39,320 --> 01:10:43,439 Speaker 2: Steve Forbes. The issue, you know, in flation gets caused 1299 01:10:43,439 --> 01:10:45,920 Speaker 2: by monetary policy. There are a lot of things that's 1300 01:10:46,040 --> 01:10:48,479 Speaker 2: very complex. What goes into it. Now, I'm someone who 1301 01:10:48,520 --> 01:10:51,040 Speaker 2: had predicted that the tariffs were not going to really 1302 01:10:51,080 --> 01:10:55,360 Speaker 2: blunt our economic growth because at the same time, for me, 1303 01:10:55,800 --> 01:10:58,000 Speaker 2: you know the adage show, when your hammer everything looks 1304 01:10:58,040 --> 01:11:00,599 Speaker 2: like a nail. I view things in terms of the 1305 01:11:00,600 --> 01:11:04,400 Speaker 2: issue of regulation and regulatory cost. And so if the 1306 01:11:04,439 --> 01:11:07,840 Speaker 2: tariffs we're going to quote unquote cost the American economy 1307 01:11:08,320 --> 01:11:12,599 Speaker 2: six hundred billion dollars annually. Well, they would be offset 1308 01:11:12,640 --> 01:11:16,200 Speaker 2: by the idea of not raising our regulatory costs by 1309 01:11:16,240 --> 01:11:19,960 Speaker 2: six billion dollars annually. Right, That's that's sort of a 1310 01:11:20,080 --> 01:11:23,599 Speaker 2: zero sum game there. I had this conversation with Steve 1311 01:11:23,720 --> 01:11:28,080 Speaker 2: Moore about this a while ago, the issue of how 1312 01:11:28,160 --> 01:11:32,680 Speaker 2: regulatory changes, and that's there has been a regulatory posture 1313 01:11:32,720 --> 01:11:35,479 Speaker 2: just we're just talking about this with with the Kent. 1314 01:11:36,040 --> 01:11:39,120 Speaker 2: You know, the issue of if you if you shrink 1315 01:11:39,560 --> 01:11:41,720 Speaker 2: the size and scope of regulations, or at the very 1316 01:11:41,840 --> 01:11:46,559 Speaker 2: least you don't grow regulations, that produces economic benefit. If 1317 01:11:46,560 --> 01:11:50,559 Speaker 2: you engage in permitting reform, it produces an economic benefit. 1318 01:11:51,520 --> 01:11:55,800 Speaker 2: What we need to be striving for next is certainty. 1319 01:11:55,840 --> 01:11:57,280 Speaker 3: This is the issue that we need. 1320 01:11:57,120 --> 01:11:57,559 Speaker 2: To deal with. 1321 01:11:57,720 --> 01:11:59,120 Speaker 3: So the next day I'm speaking of certainty. 1322 01:11:59,200 --> 01:12:02,439 Speaker 2: We're going to be joined by Tom Shatz, Citizens against 1323 01:12:02,439 --> 01:12:06,479 Speaker 2: Government Ways to talk about Medicare and Medicaid and more. 1324 01:12:07,360 --> 01:12:17,000 Speaker 1: Epstein line from the Hartbeiner and the Crossroads of America. 1325 01:12:18,439 --> 01:12:21,960 Speaker 1: It's Tony Katz today. 1326 01:12:22,720 --> 01:12:25,360 Speaker 2: Well, hey, everybody, it is Tony Katz today. I am 1327 01:12:25,400 --> 01:12:28,160 Speaker 2: Andrew Langer in for Tony Katz, in for Tony today, 1328 01:12:28,200 --> 01:12:31,400 Speaker 2: in for Tony tomorrow. Is he takes a couple of 1329 01:12:31,479 --> 01:12:34,640 Speaker 2: days off to observe fest of Us, the festive us 1330 01:12:34,640 --> 01:12:37,559 Speaker 2: for the rest of us. I'm sure he is airing 1331 01:12:37,600 --> 01:12:40,760 Speaker 2: his grievances. I know I'm going to be airing my grievance. Really, 1332 01:12:41,000 --> 01:12:43,559 Speaker 2: isn't that what this is all about? Airing grievances here 1333 01:12:43,600 --> 01:12:46,360 Speaker 2: on the day? Isn't everyday fest of Us here on 1334 01:12:46,439 --> 01:12:48,880 Speaker 2: Tony Katz Today. Listen if you like what you hear. 1335 01:12:49,520 --> 01:12:52,400 Speaker 2: I do a weekly show for the Federal Newswire called 1336 01:12:52,400 --> 01:12:56,360 Speaker 2: The Lunch Hour. It's a deep dive into public policy 1337 01:12:56,479 --> 01:13:00,840 Speaker 2: issues at the Lunch Hour pod on X is how 1338 01:13:00,840 --> 01:13:03,800 Speaker 2: you if you follow me on on X and you 1339 01:13:03,880 --> 01:13:07,160 Speaker 2: should be following me on X at Andrew Underscore, Langer, 1340 01:13:07,360 --> 01:13:09,200 Speaker 2: l A, n G E. Are you get it all? 1341 01:13:10,040 --> 01:13:12,040 Speaker 2: Because I retweet, we get a little clips of my 1342 01:13:12,120 --> 01:13:14,920 Speaker 2: interviews that go out there I do. I do a 1343 01:13:14,920 --> 01:13:17,439 Speaker 2: fair amount of radio film work in for Tony Today 1344 01:13:17,479 --> 01:13:20,479 Speaker 2: and tomorrow in another station next week for a couple 1345 01:13:20,479 --> 01:13:23,280 Speaker 2: of days. But the Lunch Hour stuff. I do a 1346 01:13:23,320 --> 01:13:26,320 Speaker 2: podcast nominally with my buddy Jerry Rodgers, the editor of 1347 01:13:26,320 --> 01:13:29,200 Speaker 2: Real Clear Policy. You've heard him on these airwaves before, 1348 01:13:30,160 --> 01:13:31,639 Speaker 2: So go and check us out there. 1349 01:13:31,680 --> 01:13:31,960 Speaker 3: I would. 1350 01:13:32,120 --> 01:13:35,800 Speaker 2: I would appreciate it thaoroughly. You can message me Facebook 1351 01:13:35,840 --> 01:13:40,000 Speaker 2: dot com slash Andrew Langer Show, I want to go here. 1352 01:13:40,240 --> 01:13:43,840 Speaker 2: So do a lot of radio in and around DC. 1353 01:13:44,840 --> 01:13:48,320 Speaker 2: Occasionally we'll we'll go to the Kennedy Center if you 1354 01:13:48,400 --> 01:13:51,680 Speaker 2: haven't been to DC before. The Kennedy Center is this 1355 01:13:51,760 --> 01:13:56,240 Speaker 2: gorgeous building on the Potomac River. It is a essentially 1356 01:13:56,280 --> 01:14:04,439 Speaker 2: a national performing arts center named for On Fitzgerald Kennedy Junior. No, no, 1357 01:14:04,520 --> 01:14:07,320 Speaker 2: John John Fitzgerald Kennedy JFK Junior or someone else. Entirely, 1358 01:14:07,320 --> 01:14:11,680 Speaker 2: thank you very much for that name for JFK. And 1359 01:14:11,720 --> 01:14:13,880 Speaker 2: you know, it's a it's a great venue. It's under 1360 01:14:13,920 --> 01:14:17,840 Speaker 2: new leadership now and they've done some terrific things in 1361 01:14:17,920 --> 01:14:20,559 Speaker 2: terms of not just programming, but sort of expanding the 1362 01:14:20,600 --> 01:14:24,559 Speaker 2: opportunities there. Well, last week the board of the Kennedy 1363 01:14:24,600 --> 01:14:29,479 Speaker 2: Center voted to expand the name of it, and and 1364 01:14:31,560 --> 01:14:35,040 Speaker 2: as you can imagine, folks are not happy that it 1365 01:14:35,120 --> 01:14:37,839 Speaker 2: is now going to be known as the Donald Trump 1366 01:14:38,320 --> 01:14:41,439 Speaker 2: Kennedy Center for Performing Arts. People are very very angry 1367 01:14:41,439 --> 01:14:44,639 Speaker 2: about this. And it's funny because a couple of weeks 1368 01:14:44,640 --> 01:14:49,200 Speaker 2: ago something similar happened with the US Institutes for Peace, 1369 01:14:50,840 --> 01:14:52,880 Speaker 2: And you know, I talked about the hue and cry 1370 01:14:53,040 --> 01:14:57,120 Speaker 2: that was going to emerge from the Foreign Service crowd 1371 01:14:57,360 --> 01:15:02,920 Speaker 2: over that. But yes, like everything else, I don't particularly 1372 01:15:02,920 --> 01:15:04,439 Speaker 2: care one way or the other. I mean, I think 1373 01:15:04,439 --> 01:15:09,360 Speaker 2: at the end of the day that really the name 1374 01:15:09,400 --> 01:15:12,960 Speaker 2: of the Kennedy Center can only really be changed by Congress. 1375 01:15:13,280 --> 01:15:15,439 Speaker 2: I'm not sure the board has the authority to do that. 1376 01:15:16,280 --> 01:15:18,600 Speaker 2: But as far as sort of abuses of power, this 1377 01:15:18,760 --> 01:15:21,920 Speaker 2: is a tempest in a teapot. I think a lot 1378 01:15:21,920 --> 01:15:24,360 Speaker 2: of this is to get Donald Trump's way of just 1379 01:15:24,680 --> 01:15:26,599 Speaker 2: sort of poking the bear to see what they're going 1380 01:15:26,680 --> 01:15:28,680 Speaker 2: to do next, in the same way, right that the 1381 01:15:28,760 --> 01:15:33,320 Speaker 2: left spent years during the Biden administration renaming military bases 1382 01:15:33,840 --> 01:15:39,040 Speaker 2: only to have those names turned back. So but you 1383 01:15:39,080 --> 01:15:41,320 Speaker 2: would think, you would literally think that the sky is 1384 01:15:41,360 --> 01:15:45,120 Speaker 2: falling with this. Here is Jim Acosta, formerly of CNN, 1385 01:15:45,640 --> 01:15:51,080 Speaker 2: now a broadcaster, Jim Acosta. Well, he claims that this 1386 01:15:51,240 --> 01:15:54,000 Speaker 2: is no joke, guys, no Joe, here's no joke, folks. 1387 01:15:54,400 --> 01:15:57,160 Speaker 2: He claims this is vandalism. Let's play at number seventeen. 1388 01:15:57,720 --> 01:15:59,519 Speaker 16: Well, here we are at the scene of yet another 1389 01:15:59,560 --> 01:16:04,040 Speaker 16: crime committed by Donald Trump. He has vandalized the Kennedy 1390 01:16:04,080 --> 01:16:07,280 Speaker 16: Center by putting his name on it, and he just 1391 01:16:07,320 --> 01:16:11,960 Speaker 16: needs to understand that. First of all, he can't do 1392 01:16:12,080 --> 01:16:16,240 Speaker 16: this single handedly. Only Congress can authorize a change of 1393 01:16:16,360 --> 01:16:18,760 Speaker 16: name to the Kennedy Center. But yet he doesn't care 1394 01:16:18,760 --> 01:16:22,240 Speaker 16: about the law. He doesn't care what is appropriate. He's 1395 01:16:22,280 --> 01:16:25,160 Speaker 16: gone and vandalized the Kennedy Center, which is we should 1396 01:16:25,160 --> 01:16:29,920 Speaker 16: note the John F. Kennedy Memorial Center for the Performing Arts. 1397 01:16:29,920 --> 01:16:33,360 Speaker 16: It was named after President Kennedy after he was assassinated. 1398 01:16:34,320 --> 01:16:36,680 Speaker 16: Donald Trump should show some respect for that. But of 1399 01:16:36,680 --> 01:16:40,120 Speaker 16: course he doesn't do that. And this is what needs 1400 01:16:40,120 --> 01:16:42,680 Speaker 16: to be said. We the American people are not going 1401 01:16:42,720 --> 01:16:46,120 Speaker 16: to call the Kennedy Center the Trump Kennedy Center, just 1402 01:16:46,160 --> 01:16:48,280 Speaker 16: like we're not going to call the Department of Defense 1403 01:16:48,320 --> 01:16:50,680 Speaker 16: the Department of War, or the Gulf of Mexico the 1404 01:16:50,680 --> 01:16:55,880 Speaker 16: Gulf of America. We, the sane, rational American people are 1405 01:16:55,960 --> 01:16:57,599 Speaker 16: not going to go along with that. So Trump can 1406 01:16:57,640 --> 01:16:59,840 Speaker 16: act like a child, he can be a vandal put 1407 01:16:59,880 --> 01:17:01,280 Speaker 16: his name up on all of these buildings. 1408 01:17:01,720 --> 01:17:04,360 Speaker 2: Well, suck, I will get it there. 1409 01:17:04,720 --> 01:17:05,120 Speaker 3: Okay. 1410 01:17:05,320 --> 01:17:08,200 Speaker 2: I just want to be really clear about this. So 1411 01:17:08,520 --> 01:17:13,200 Speaker 2: the president of the United States going and having the 1412 01:17:13,240 --> 01:17:15,920 Speaker 2: building renamed and going through the process. It's not like 1413 01:17:15,920 --> 01:17:18,559 Speaker 2: he went over there with a can of spray paid 1414 01:17:18,840 --> 01:17:21,479 Speaker 2: and spray paint, did his name and huge scroll, which 1415 01:17:21,520 --> 01:17:24,600 Speaker 2: is the very definition of vandalism. He's gone through the 1416 01:17:24,640 --> 01:17:28,240 Speaker 2: process of actually going out there the board and it 1417 01:17:28,320 --> 01:17:30,439 Speaker 2: wasn't even Trump, it was the board of the Kennedy Center. 1418 01:17:30,520 --> 01:17:31,880 Speaker 2: Know whether or not they did it because he asked 1419 01:17:31,880 --> 01:17:34,120 Speaker 2: them to, I don't know. Again, I don't care, But 1420 01:17:34,240 --> 01:17:37,600 Speaker 2: obviously you know there was a procedure internally that was 1421 01:17:37,680 --> 01:17:41,280 Speaker 2: being handled to go and do this. So so Donald 1422 01:17:41,320 --> 01:17:47,280 Speaker 2: Trump doing this is childish and and rational American people 1423 01:17:47,360 --> 01:17:51,200 Speaker 2: are not going to call it the Trump Senator. You know, 1424 01:17:51,400 --> 01:17:53,840 Speaker 2: rational people, they're not going to call They're not going 1425 01:17:53,880 --> 01:17:56,000 Speaker 2: to call the Department of War the Department War. They're 1426 01:17:56,000 --> 01:17:58,000 Speaker 2: going to still call the d D. Rational people are 1427 01:17:58,040 --> 01:18:00,479 Speaker 2: going to call it the Gulf of Mexico. That that's 1428 01:18:00,520 --> 01:18:03,639 Speaker 2: what rational people do. But when a president or when 1429 01:18:03,680 --> 01:18:07,479 Speaker 2: a facility goes through their internal channels to go and 1430 01:18:07,520 --> 01:18:09,280 Speaker 2: do a formal name change, and they go and they 1431 01:18:09,280 --> 01:18:13,000 Speaker 2: actually get lettering to put up there, that's vandalism. And 1432 01:18:13,040 --> 01:18:17,479 Speaker 2: to call it vandalism, that's somehow not childish and rational. 1433 01:18:18,000 --> 01:18:20,600 Speaker 2: Just as long as I'm tracking here, because you know, 1434 01:18:20,640 --> 01:18:25,600 Speaker 2: it's a constantly shifting metric by what's rational at what's irrational, 1435 01:18:26,200 --> 01:18:28,880 Speaker 2: at what's childish and what's not childish? 1436 01:18:29,160 --> 01:18:29,600 Speaker 3: I get it. 1437 01:18:29,640 --> 01:18:34,840 Speaker 2: So that's Jim Jim Acosta's take on this situation. It 1438 01:18:34,880 --> 01:18:39,240 Speaker 2: gets better. So Senator Van Holland, Chris van Holland, who 1439 01:18:39,280 --> 01:18:42,360 Speaker 2: is the senior Senator from the great state of Maryland. 1440 01:18:43,200 --> 01:18:45,000 Speaker 3: Chris van Holland, he was down there. 1441 01:18:45,000 --> 01:18:46,880 Speaker 2: I guess there was some kind of big rally, big 1442 01:18:46,880 --> 01:18:51,240 Speaker 2: big protest down there. He is, he had something to 1443 01:18:51,280 --> 01:18:53,960 Speaker 2: say about this. Let's hear what the Senator Van hall 1444 01:18:54,040 --> 01:18:54,960 Speaker 2: is a kind number eighteen. 1445 01:18:55,479 --> 01:19:01,639 Speaker 17: Look, all of us watched in harm yesterday as Donald 1446 01:19:01,680 --> 01:19:06,760 Speaker 17: Trump put his name on the Kennedy Center next to 1447 01:19:06,800 --> 01:19:09,040 Speaker 17: the name of John F. 1448 01:19:09,280 --> 01:19:11,559 Speaker 5: Kennedy. 1449 01:19:12,120 --> 01:19:15,240 Speaker 17: Oh my god, and we are here to say that 1450 01:19:15,320 --> 01:19:17,240 Speaker 17: this desecration. 1451 01:19:17,400 --> 01:19:26,160 Speaker 2: Oh my god, oh my god, it's there. It's horrifying desecration. It' 1452 01:19:26,280 --> 01:19:29,200 Speaker 2: store and Staby, there's a building, and it's a building 1453 01:19:29,240 --> 01:19:33,160 Speaker 2: where people do ballet. How dare how dare Donald Trump 1454 01:19:33,200 --> 01:19:37,479 Speaker 2: do this? It's a horrifying vandalism, desecration. You know, it's 1455 01:19:37,520 --> 01:19:43,400 Speaker 2: not like listen, there is a very solemn memorial to 1456 01:19:43,560 --> 01:19:45,800 Speaker 2: John F. Kennedy, who, by the way, would not he 1457 01:19:45,840 --> 01:19:48,599 Speaker 2: would be horrified at what the Democratic Party was turned into. 1458 01:19:49,600 --> 01:19:52,680 Speaker 2: He would just be horrified. He would he would have 1459 01:19:53,200 --> 01:19:55,280 Speaker 2: John F. Kennedy's viewpoints of the world, whether it's his 1460 01:19:55,400 --> 01:20:00,200 Speaker 2: ardent anti communism viewpoints or or his pro tax I'm 1461 01:20:00,200 --> 01:20:03,599 Speaker 2: sorry it's anti tax, pro tax reform, his pro charity 1462 01:20:03,880 --> 01:20:06,920 Speaker 2: positions on things, they would have no place in the 1463 01:20:07,000 --> 01:20:11,320 Speaker 2: in the Democratic Party today. That being said, there is 1464 01:20:11,520 --> 01:20:18,240 Speaker 2: a wonderfully solemn memorial to jfk over at Arlington National Cemetery, which, 1465 01:20:18,280 --> 01:20:23,840 Speaker 2: by the way, the Democrats want to fundamentally change memorials 1466 01:20:23,920 --> 01:20:27,280 Speaker 2: over at Arlington. So you know, we talk about sort 1467 01:20:27,280 --> 01:20:31,160 Speaker 2: of the issue of desecration and disrespect, but you know 1468 01:20:31,640 --> 01:20:35,040 Speaker 2: we are Donald Trump isn't doing anything with that. M 1469 01:20:35,120 --> 01:20:39,880 Speaker 2: Kennedy Center board is doing nothing with with that. Yes, 1470 01:20:39,960 --> 01:20:42,760 Speaker 2: you have the Center for the Performing Arts. Then I 1471 01:20:42,840 --> 01:20:45,760 Speaker 2: suppose if what they're going down to is if I 1472 01:20:45,800 --> 01:20:48,600 Speaker 2: bet the way the congressional legislation is written is that 1473 01:20:48,680 --> 01:20:51,519 Speaker 2: you can't take John F. Kennedy's name off of the 1474 01:20:51,600 --> 01:20:55,200 Speaker 2: Kennedy Center. And I think that doesn't mean you can't 1475 01:20:55,200 --> 01:20:56,880 Speaker 2: add a name to it. Again, it's more or less 1476 01:20:56,880 --> 01:21:01,240 Speaker 2: a tempest in a teapot here. I want to continue 1477 01:21:01,240 --> 01:21:05,840 Speaker 2: with this in terms of the hysteria. It's horrifying, horrifying desecration. 1478 01:21:06,960 --> 01:21:10,000 Speaker 2: Rosie O'Donnell. Of course she's gotten into it. 1479 01:21:10,000 --> 01:21:10,880 Speaker 3: I didn't realize she was. 1480 01:21:11,080 --> 01:21:13,000 Speaker 2: She was still watching what was happening in the United States. 1481 01:21:13,040 --> 01:21:13,960 Speaker 2: Let's play at number. 1482 01:21:13,800 --> 01:21:16,120 Speaker 5: Nineteen, the Kennedy Center debacle. 1483 01:21:17,280 --> 01:21:18,040 Speaker 2: It's a debacle. 1484 01:21:21,080 --> 01:21:22,439 Speaker 5: It has gone too far. 1485 01:21:23,280 --> 01:21:23,800 Speaker 3: It's too far. 1486 01:21:24,040 --> 01:21:24,920 Speaker 2: This is too far. 1487 01:21:25,160 --> 01:21:32,360 Speaker 5: Is seriously unwell. It needs to be removed from office. 1488 01:21:32,760 --> 01:21:38,560 Speaker 2: Oh, it needs to be removed from office. It it 1489 01:21:38,760 --> 01:21:43,440 Speaker 2: negative energy. Oh yes, the blob of negative energy is desecrated. 1490 01:21:43,479 --> 01:21:43,880 Speaker 3: This thing. 1491 01:21:44,800 --> 01:21:49,720 Speaker 2: P Oh my god, I mean it is. It is 1492 01:21:49,760 --> 01:21:52,360 Speaker 2: amazing it. It is amazing to me. She is amazing 1493 01:21:52,360 --> 01:21:55,360 Speaker 2: to me. Finally, here's a guy that don't have his 1494 01:21:55,439 --> 01:21:56,880 Speaker 2: name here in front of me, but he was a 1495 01:21:56,920 --> 01:22:01,920 Speaker 2: protester at this Chris van Holland event. He apparently he's 1496 01:22:02,200 --> 01:22:04,160 Speaker 2: Folks pointed out that this guy has been at a 1497 01:22:04,200 --> 01:22:07,559 Speaker 2: bunch of different Democratic protests in the DC area, most 1498 01:22:07,600 --> 01:22:14,879 Speaker 2: notably protesting the Trump administration's aggressive pursuit of MS thirteen, 1499 01:22:14,960 --> 01:22:20,559 Speaker 2: the violent illegal immigrant gang. And in the same way 1500 01:22:20,600 --> 01:22:22,559 Speaker 2: that Rosie O'Donnell said that it was a step too far, 1501 01:22:22,800 --> 01:22:25,479 Speaker 2: here's what this DC resident claims. Let's play at number twenty. 1502 01:22:25,720 --> 01:22:28,200 Speaker 2: I reeling like democracy died today. 1503 01:22:28,240 --> 01:22:32,599 Speaker 18: This is history happening today, and we should all be shocked, 1504 01:22:33,280 --> 01:22:38,160 Speaker 18: shocked that a bellon, a convicted felon and a thug, 1505 01:22:38,360 --> 01:22:42,320 Speaker 18: and by all means a gritter, has just stuck his 1506 01:22:42,479 --> 01:22:44,759 Speaker 18: name on top of a national monument. 1507 01:22:45,120 --> 01:22:51,040 Speaker 2: This is a desecration. No, it's a desecration. I mean 1508 01:22:51,080 --> 01:22:53,639 Speaker 2: it's one of those things. I used to have a bell, 1509 01:22:53,760 --> 01:22:56,680 Speaker 2: like like a hotel, you know, desk bell where you 1510 01:22:56,720 --> 01:23:00,240 Speaker 2: go ding ding ding. My dad is probably listening now. 1511 01:23:00,280 --> 01:23:02,040 Speaker 2: You hated it when we would use the bell. It 1512 01:23:02,080 --> 01:23:04,519 Speaker 2: was it was an affectation that I pulled from one 1513 01:23:04,560 --> 01:23:07,760 Speaker 2: of my great radio heroes, and the bell had been 1514 01:23:07,760 --> 01:23:09,280 Speaker 2: given to me by somebody else, a great hero of 1515 01:23:09,320 --> 01:23:11,760 Speaker 2: mine and radio. But you go through what that residence said. 1516 01:23:11,760 --> 01:23:12,960 Speaker 2: I mean, you know, we do be very real quick 1517 01:23:12,960 --> 01:23:14,439 Speaker 2: because I know we're up up on a break. Here, 1518 01:23:14,960 --> 01:23:16,920 Speaker 2: go ahead, Land and play that one more time and 1519 01:23:16,920 --> 01:23:18,599 Speaker 2: I'll say ding when when he hits all the bells, 1520 01:23:18,600 --> 01:23:21,840 Speaker 2: go ahead and play at twenty and feeling like democracy died. 1521 01:23:22,400 --> 01:23:26,000 Speaker 18: This is dan history happening today and we should all 1522 01:23:26,080 --> 01:23:26,679 Speaker 18: be shocked. 1523 01:23:27,400 --> 01:23:27,920 Speaker 3: Shocked. 1524 01:23:28,479 --> 01:23:32,200 Speaker 18: Thing a bellon, a king did felon, and a thing 1525 01:23:32,560 --> 01:23:36,880 Speaker 18: and by all means a grifter thing stuck his name 1526 01:23:37,000 --> 01:23:37,880 Speaker 18: on top of ant. 1527 01:23:38,040 --> 01:23:39,760 Speaker 2: She hits money, hits all of it. I mean, it 1528 01:23:39,840 --> 01:23:43,000 Speaker 2: really is a multi we get ended there, we get 1529 01:23:43,000 --> 01:23:44,920 Speaker 2: into the ding on, the destigration. It's a it's a 1530 01:23:45,000 --> 01:23:48,479 Speaker 2: multi effected there. He's a grifter, he's a thug. It's 1531 01:23:48,960 --> 01:23:52,000 Speaker 2: horrified democracy has died. Blah blah blah. I mean literally, 1532 01:23:52,520 --> 01:23:56,640 Speaker 2: it's like, guys, you need some new words here, you do. 1533 01:23:56,680 --> 01:24:02,880 Speaker 2: You need a musician's thesaurus, you know, a lyricists thesaurus. 1534 01:24:03,200 --> 01:24:06,920 Speaker 2: Can I say that words lyricists thesaurus to go through 1535 01:24:06,960 --> 01:24:09,280 Speaker 2: and find some new words. Anyway, in a couple of minutes, 1536 01:24:09,280 --> 01:24:10,640 Speaker 2: we're going to start talking. We'll talk a little bit 1537 01:24:10,640 --> 01:24:13,240 Speaker 2: about the Epstein document release. I'm Andrew langer In for 1538 01:24:13,320 --> 01:24:16,680 Speaker 2: Tony Katz today. We are back, everybody. I am Andrew 1539 01:24:16,800 --> 01:24:19,920 Speaker 2: langer In for Tony Katz today. So obviously, one of 1540 01:24:19,920 --> 01:24:25,679 Speaker 2: the things that happened on Friday, is that DJ started 1541 01:24:25,720 --> 01:24:30,200 Speaker 2: to release the Epstein files after the piece of congressional legislation, 1542 01:24:30,479 --> 01:24:32,439 Speaker 2: and you're like everything else. I mean, you could have 1543 01:24:32,439 --> 01:24:36,080 Speaker 2: predicted this that the pro police folks were going to 1544 01:24:36,120 --> 01:24:38,040 Speaker 2: be like, oh, this is not good enough. It's never 1545 01:24:38,080 --> 01:24:40,600 Speaker 2: good enough. We knew that was going to happen. There 1546 01:24:40,600 --> 01:24:43,840 Speaker 2: are lots of redactions in there, lots of complaints about it, 1547 01:24:43,880 --> 01:24:46,960 Speaker 2: blah blah blah, and so on and so forth, and guys, listen, 1548 01:24:47,720 --> 01:24:50,200 Speaker 2: at the end of the day, this is pretty much 1549 01:24:50,280 --> 01:24:52,200 Speaker 2: as we could have predicted it was going to go. 1550 01:24:52,640 --> 01:24:55,600 Speaker 2: A lot of nothing, a lot of reinforcement about Democrats 1551 01:24:55,600 --> 01:25:01,760 Speaker 2: and democrats involvement in in Epstein War Old, lots of 1552 01:25:01,800 --> 01:25:03,920 Speaker 2: folks not talking about it, but they're you know, they're 1553 01:25:03,920 --> 01:25:05,880 Speaker 2: putting this stuff out in dribs and drabs with a 1554 01:25:05,920 --> 01:25:09,160 Speaker 2: lot of reactions. I think as a massive ropodobe to 1555 01:25:09,200 --> 01:25:11,360 Speaker 2: the folks who want to still hammer on this. Right, 1556 01:25:11,439 --> 01:25:15,120 Speaker 2: if they're going to still hammer on it every time 1557 01:25:15,160 --> 01:25:17,280 Speaker 2: something else comes down and it doesn't go their way, 1558 01:25:17,880 --> 01:25:20,639 Speaker 2: it just sort of blends into the noise. I will 1559 01:25:20,640 --> 01:25:24,880 Speaker 2: say this much, you want to get sucked into a 1560 01:25:25,240 --> 01:25:29,000 Speaker 2: rabbit hole. They're the the original sort of transion of 1561 01:25:29,040 --> 01:25:31,840 Speaker 2: emails that was out there has been put up at 1562 01:25:31,880 --> 01:25:35,840 Speaker 2: something called jmail dot world, like for Jeffrey Epstein instead 1563 01:25:35,880 --> 01:25:36,360 Speaker 2: of Gmail. 1564 01:25:36,600 --> 01:25:38,040 Speaker 3: They have essentially. 1565 01:25:37,640 --> 01:25:42,880 Speaker 2: Flashed his emails into what looks like a Gmail account 1566 01:25:42,880 --> 01:25:45,599 Speaker 2: and they call it jmail. And you really do get 1567 01:25:45,640 --> 01:25:48,160 Speaker 2: sucked down a rabbit hole here because you come to 1568 01:25:48,240 --> 01:25:50,519 Speaker 2: find out that at the end of the day, like 1569 01:25:50,600 --> 01:25:57,639 Speaker 2: some of his most prominent friends were Democrats, Larry Summers Democrat. 1570 01:25:59,200 --> 01:26:00,280 Speaker 3: Or liberal. 1571 01:26:01,479 --> 01:26:05,320 Speaker 2: Democrat I'm sorry, Democrat Larry Summer's Democrat, Bill Clinton, Liberal 1572 01:26:05,400 --> 01:26:12,240 Speaker 2: stalwarts Noam Chomsky, and progressive Prime Minister of Israel Ahood Barack. 1573 01:26:12,760 --> 01:26:15,400 Speaker 2: I mean, it's really kind of creepy just how involved 1574 01:26:15,760 --> 01:26:21,519 Speaker 2: these guys were. Barack Obama senior DJ official here and so, 1575 01:26:21,760 --> 01:26:23,720 Speaker 2: you know, one of the things that came out was 1576 01:26:23,840 --> 01:26:27,800 Speaker 2: a picture of Bill Clinton in a jacuzzie pool or 1577 01:26:27,800 --> 01:26:32,000 Speaker 2: some kind of small pool with Julane Maxwell and someone 1578 01:26:32,000 --> 01:26:34,200 Speaker 2: whose face was blacked out. You know, they black out 1579 01:26:34,320 --> 01:26:38,360 Speaker 2: pictures like that because the folks are supposed to be underage, 1580 01:26:38,439 --> 01:26:41,240 Speaker 2: unlike when they put up the picture of Bill Clinton 1581 01:26:41,320 --> 01:26:44,280 Speaker 2: last week under Bill Clinton Donald Trump last week, in 1582 01:26:44,320 --> 01:26:48,040 Speaker 2: which it was a picture of him with Miss Universe 1583 01:26:48,200 --> 01:26:50,720 Speaker 2: pageant members, and so there was nothing wrong with that 1584 01:26:50,800 --> 01:26:59,160 Speaker 2: picture anyway. Asked about the the the Clinton picture, Congressman 1585 01:26:59,240 --> 01:27:02,439 Speaker 2: Jamie rask And I love talking to Jimmie Raskin because 1586 01:27:02,840 --> 01:27:06,160 Speaker 2: he's a Maryland guy. He's just outside of DC. He 1587 01:27:06,280 --> 01:27:11,639 Speaker 2: is supposed to be a constitutional scholar. But all Evans 1588 01:27:11,680 --> 01:27:15,880 Speaker 2: seems to indicate otherwise. Well, he was asked about this, 1589 01:27:16,000 --> 01:27:20,479 Speaker 2: and he had a fascinating deflection. Let's play out number fourteen. 1590 01:27:22,320 --> 01:27:25,519 Speaker 19: Did see we're a number of pictures of former President 1591 01:27:25,600 --> 01:27:29,559 Speaker 19: Bill Clinton with Jeffrey Epstein, with Colleene Maxwell in a jacuzzi, 1592 01:27:29,640 --> 01:27:34,639 Speaker 19: swimming in a pool. How do you explain that connection? 1593 01:27:34,880 --> 01:27:36,000 Speaker 19: And are you comfortable with it? 1594 01:27:36,120 --> 01:27:37,400 Speaker 2: I mean, I have no idea. 1595 01:27:37,640 --> 01:27:39,400 Speaker 20: This is why we want to get to the bottom 1596 01:27:39,439 --> 01:27:41,680 Speaker 20: of it and get all of the facts out to 1597 01:27:44,280 --> 01:27:46,960 Speaker 20: the public. I mean, that's what this is about. And 1598 01:27:47,800 --> 01:27:50,880 Speaker 20: you know, look, there are clearly lots of people that 1599 01:27:50,920 --> 01:27:54,240 Speaker 20: are in photographs with Jeffrey Epstein. And in addition to 1600 01:27:54,360 --> 01:27:57,680 Speaker 20: being a child sex predator and an international chot sex 1601 01:27:57,720 --> 01:27:59,639 Speaker 20: abuse trafficker, he was very much of. 1602 01:27:59,600 --> 01:28:01,160 Speaker 2: A a socialite. 1603 01:28:02,040 --> 01:28:03,720 Speaker 3: He was very much of a socialite. 1604 01:28:04,360 --> 01:28:07,040 Speaker 2: I mean, you know, because you know all politicians, you know, 1605 01:28:07,080 --> 01:28:07,679 Speaker 2: it's so funny. 1606 01:28:07,880 --> 01:28:09,680 Speaker 3: There's a guy named Steve Stockman. 1607 01:28:09,479 --> 01:28:12,799 Speaker 2: Who was a member of Congress from from from Texas 1608 01:28:13,400 --> 01:28:18,800 Speaker 2: and then he was convicted in a variety of crimes. 1609 01:28:19,400 --> 01:28:21,759 Speaker 2: He may be running for Congress again. He was famous 1610 01:28:21,760 --> 01:28:25,880 Speaker 2: for his hot tub parties at various conservative conferences. But 1611 01:28:25,920 --> 01:28:28,960 Speaker 2: the point is, this is how Jamie Raskin is dismissing 1612 01:28:29,040 --> 01:28:32,759 Speaker 2: this picture of Bill Clinton in a pool with Julane 1613 01:28:32,760 --> 01:28:38,520 Speaker 2: Maxwell and someone who was most likely underage or allegedly underage. 1614 01:28:39,080 --> 01:28:42,879 Speaker 2: We're going to jump down to number sixteen. Here Landon. 1615 01:28:43,400 --> 01:28:46,160 Speaker 2: Here is Scott Jennings on CNN talking about how they 1616 01:28:46,240 --> 01:28:49,200 Speaker 2: probably should rename this scandal. Let's go ahead and play sixteen. 1617 01:28:49,240 --> 01:28:49,559 Speaker 5: Please. 1618 01:28:50,000 --> 01:28:52,719 Speaker 21: They've released how many documents to night? Two hundred thousand, 1619 01:28:53,600 --> 01:28:58,320 Speaker 21: more four hundreds, So a good faith effort is being 1620 01:28:58,320 --> 01:28:58,720 Speaker 21: made to. 1621 01:28:58,680 --> 01:28:59,799 Speaker 2: Release files tonight. 1622 01:29:00,320 --> 01:29:02,840 Speaker 21: They're obviously doing that, and I think as it relates 1623 01:29:02,840 --> 01:29:06,559 Speaker 21: to redactions, I mean, my impression is is that there's 1624 01:29:06,560 --> 01:29:08,920 Speaker 21: a whole lot of names of victims in there, and 1625 01:29:09,479 --> 01:29:11,840 Speaker 21: miners and other people that you probably wouldn't want. 1626 01:29:11,720 --> 01:29:13,520 Speaker 3: To release, and they do need to be redacted. 1627 01:29:13,800 --> 01:29:16,719 Speaker 21: Regarding Bill Clinton, I'm sorry to tell you the reason 1628 01:29:16,720 --> 01:29:19,120 Speaker 21: that Bill Clinton's pictures in the Epstein files is because 1629 01:29:19,160 --> 01:29:21,200 Speaker 21: this has always been a story about Bill. 1630 01:29:21,040 --> 01:29:22,960 Speaker 2: Clinton and not Donald Trump. We should call it the 1631 01:29:22,960 --> 01:29:25,679 Speaker 2: Clinton files, not the Epstein files. That's what we're learning tonight. 1632 01:29:25,720 --> 01:29:27,960 Speaker 2: This is the Clinton files. This is the blowing up 1633 01:29:28,000 --> 01:29:29,559 Speaker 2: in the face of the Democrats over this. 1634 01:29:30,120 --> 01:29:30,920 Speaker 10: It's Bill Clinton. 1635 01:29:30,960 --> 01:29:33,240 Speaker 21: This is a story about Democrats and Bill Clinton. 1636 01:29:34,160 --> 01:29:38,960 Speaker 2: The pictures of Donald Trump with Epstein, so that that. 1637 01:29:39,560 --> 01:29:40,919 Speaker 3: Got them very angry. 1638 01:29:42,520 --> 01:29:44,719 Speaker 2: The other members of the panel at CNN when Scott 1639 01:29:44,760 --> 01:29:48,479 Speaker 2: Jennings dared suggest that, and again you you talk about 1640 01:29:48,520 --> 01:29:53,720 Speaker 2: this and timelines are important. Tying things together is vitally important. 1641 01:29:54,160 --> 01:29:57,120 Speaker 2: Here is Scott Jennings tying two very pertinent pieces of 1642 01:29:57,160 --> 01:29:59,720 Speaker 2: information together. Let's play cut number fifteen. 1643 01:30:00,160 --> 01:30:01,160 Speaker 5: Nineteen ninety six. 1644 01:30:01,400 --> 01:30:04,519 Speaker 22: This man was abusing the law and the FBI did nothing. 1645 01:30:04,880 --> 01:30:06,599 Speaker 10: That should be what is most upsetting. 1646 01:30:06,600 --> 01:30:09,040 Speaker 22: And while the victims may not want their name, it 1647 01:30:09,040 --> 01:30:12,519 Speaker 22: doesn't matter, It does not matter I'm talking about I'm 1648 01:30:12,520 --> 01:30:16,479 Speaker 22: not on any side. I feel like it's disgusting. Wait 1649 01:30:16,520 --> 01:30:23,040 Speaker 22: till twenty twenty five, well and said decades after she lifted, 1650 01:30:23,560 --> 01:30:25,960 Speaker 22: and we are still protecting this man like we're still 1651 01:30:26,000 --> 01:30:26,719 Speaker 22: pointing fingers. 1652 01:30:27,000 --> 01:30:30,240 Speaker 2: He's have you got even life? It stopped to go ahead, 1653 01:30:30,920 --> 01:30:33,479 Speaker 2: we can win it there. So the point is this 1654 01:30:34,080 --> 01:30:37,320 Speaker 2: leftist democratic pundit on CNN. It's like, oh, you know 1655 01:30:37,960 --> 01:30:41,840 Speaker 2: he was in nineteen ninety six, he was abusing the system. 1656 01:30:42,320 --> 01:30:44,040 Speaker 2: Scott Jennings points up, well, who was president of the 1657 01:30:44,120 --> 01:30:46,360 Speaker 2: United States, and oh, it doesn't matter, doesn't matter. Move 1658 01:30:46,360 --> 01:30:49,360 Speaker 2: I'll move on already, move on already, dot org, move on, 1659 01:30:49,439 --> 01:30:51,639 Speaker 2: dot org, move on already. 1660 01:30:51,760 --> 01:30:54,200 Speaker 3: From that, it doesn't matter. Yes, of course it matters. 1661 01:30:54,640 --> 01:30:58,800 Speaker 2: As Scott Jennings then points out, perhaps he was being 1662 01:30:58,840 --> 01:31:04,679 Speaker 2: protected in nineteen nine tinety six because because Bill Clinton 1663 01:31:04,760 --> 01:31:08,040 Speaker 2: was president of the United States, and Bill Clinton figures prominently, 1664 01:31:08,560 --> 01:31:12,120 Speaker 2: Bill Clinton hangers on and allies figure prominently in this 1665 01:31:12,520 --> 01:31:19,960 Speaker 2: Larry Summers, I'm suck all figure prominently in these files. 1666 01:31:20,800 --> 01:31:24,400 Speaker 2: And it's not as though Bill Clinton didn't use and 1667 01:31:24,479 --> 01:31:28,240 Speaker 2: try to influence the justice system to his advantage and 1668 01:31:28,280 --> 01:31:32,160 Speaker 2: to the advantage of his allies. Remember it was in 1669 01:31:32,200 --> 01:31:35,720 Speaker 2: the summer of twenty sixteen that Bill Clinton meant with 1670 01:31:35,960 --> 01:31:38,759 Speaker 2: the then Attorney General of the United States, Laura Lynch, 1671 01:31:39,200 --> 01:31:43,400 Speaker 2: in a secret meeting, and what happened, his wife was 1672 01:31:43,479 --> 01:31:46,719 Speaker 2: let off the hook, and they immediately started investigating Ronald 1673 01:31:46,720 --> 01:31:49,479 Speaker 2: Trump after that meeting, I'm Andrew Lanker. When we come 1674 01:31:49,479 --> 01:31:52,040 Speaker 2: back Tom Shatz from c AGW sys toy Cats today, 1675 01:31:52,560 --> 01:31:56,040 Speaker 2: So we're waiting to get Tom Shatz from Citizens Against 1676 01:31:56,080 --> 01:32:02,679 Speaker 2: Government Waste on Tom to talk about CMMI, the Center 1677 01:32:02,680 --> 01:32:06,080 Speaker 2: for Medicare and Medicaid Innovation, and this healthcare issue is 1678 01:32:06,080 --> 01:32:09,880 Speaker 2: an important one and it's one that's so funny. I 1679 01:32:09,960 --> 01:32:13,320 Speaker 2: just pulled up this, this, this, uh, these clips, but 1680 01:32:13,479 --> 01:32:15,040 Speaker 2: we may not even use them right now, ended, because 1681 01:32:15,040 --> 01:32:17,120 Speaker 2: I'm going to pontificate for a second. It's near and 1682 01:32:17,160 --> 01:32:19,280 Speaker 2: dear to my heart. As I said, guys, I do 1683 01:32:19,640 --> 01:32:21,880 Speaker 2: wear I wear two hats in my in my policy work, 1684 01:32:22,080 --> 01:32:24,599 Speaker 2: I do regulatory policy for SEAPACK, which means that I'm 1685 01:32:24,600 --> 01:32:28,960 Speaker 2: looking at what the administration is offering up changes to 1686 01:32:29,439 --> 01:32:31,720 Speaker 2: rules and regulations on how offer comments on them. I 1687 01:32:31,760 --> 01:32:35,800 Speaker 2: also do health care policy, which is uh, you know, 1688 01:32:36,120 --> 01:32:41,160 Speaker 2: focusing on on where we've gone wrong in America and 1689 01:32:41,560 --> 01:32:45,720 Speaker 2: how to actually make healthcare more affordable because there's a 1690 01:32:45,760 --> 01:32:48,519 Speaker 2: lot that we get wrong, starting with the idea that 1691 01:32:48,560 --> 01:32:52,280 Speaker 2: we focus on it as an insurance issue. America does 1692 01:32:52,320 --> 01:32:55,160 Speaker 2: not have an insurance issue. Besides the fact that what 1693 01:32:55,200 --> 01:33:00,519 Speaker 2: we call health insurance really isn't insurance at all. What 1694 01:33:00,680 --> 01:33:06,160 Speaker 2: it is is a cost sharing mechanism that that is 1695 01:33:06,200 --> 01:33:10,360 Speaker 2: not like other kinds of insurance. Right, insurance using air quotes, 1696 01:33:10,400 --> 01:33:14,120 Speaker 2: you can't see it because it's radio insurance is supposed 1697 01:33:14,120 --> 01:33:17,360 Speaker 2: to be used in catastrophic or emergency events. Right, we 1698 01:33:17,439 --> 01:33:24,280 Speaker 2: have homeowners insurance, flood insurance, fire, et cetera. For home 1699 01:33:24,320 --> 01:33:26,679 Speaker 2: gets flooded, dear home has a fire blah blah blah. 1700 01:33:26,680 --> 01:33:30,080 Speaker 2: Renders insurance the same kind of a thing. Car insurance. 1701 01:33:30,320 --> 01:33:33,400 Speaker 2: You don't use your car insurance to get your annual 1702 01:33:33,600 --> 01:33:37,280 Speaker 2: tune up or to get your oil changed. If you did, right, 1703 01:33:37,439 --> 01:33:41,320 Speaker 2: that would make it that much more expensive, you know 1704 01:33:41,360 --> 01:33:45,880 Speaker 2: it would. It's it's interesting. Obviously auto insurance the rates 1705 01:33:46,040 --> 01:33:48,200 Speaker 2: change depending on what kind of car you have and 1706 01:33:48,240 --> 01:33:50,720 Speaker 2: how old, et cetera. But they would really drill down 1707 01:33:50,800 --> 01:33:52,720 Speaker 2: a lot more deeply if you're using it for sort 1708 01:33:52,760 --> 01:33:55,760 Speaker 2: of regular maintenance. Here for some folks, it just it 1709 01:33:55,960 --> 01:33:59,800 Speaker 2: just costs more. The other part of it is that 1710 01:34:00,280 --> 01:34:03,760 Speaker 2: when it comes to things like auto insurance, or even 1711 01:34:03,800 --> 01:34:07,519 Speaker 2: when it comes to things like other cost sharing mechanisms. Right, 1712 01:34:07,520 --> 01:34:09,240 Speaker 2: what we have in terms of health insurance is really 1713 01:34:09,280 --> 01:34:11,800 Speaker 2: like a costco or Sam's Club membership. 1714 01:34:12,120 --> 01:34:13,720 Speaker 3: And I don't mean to denigrate it, and just. 1715 01:34:13,640 --> 01:34:15,960 Speaker 2: Trying to distill it down into a very simple way 1716 01:34:16,000 --> 01:34:16,880 Speaker 2: of looking at things. 1717 01:34:18,520 --> 01:34:20,840 Speaker 3: You know, when you the idea of a costco. 1718 01:34:20,560 --> 01:34:25,040 Speaker 2: Membership is that you are you are benefiting from the 1719 01:34:25,080 --> 01:34:28,240 Speaker 2: mass purchasing and buying in bulk. Uh. You know, you're 1720 01:34:28,240 --> 01:34:31,200 Speaker 2: you're you're going and you're you're sharing the cost of 1721 01:34:31,200 --> 01:34:36,000 Speaker 2: of lots of large parcels of toilet paper or or 1722 01:34:36,240 --> 01:34:42,160 Speaker 2: paper towels or whatever. And so when when costco, when 1723 01:34:42,200 --> 01:34:46,120 Speaker 2: Sam's Club starts running out of paper towels, or when 1724 01:34:46,120 --> 01:34:48,040 Speaker 2: they start running out of beef, or when they start 1725 01:34:48,120 --> 01:34:50,599 Speaker 2: running out of whatever it is that you're buying in bulk, 1726 01:34:51,920 --> 01:34:54,080 Speaker 2: or that other folks are buying as well, they could 1727 01:34:54,080 --> 01:34:57,040 Speaker 2: go to the manufacturer and distributor and ask for more. 1728 01:34:58,680 --> 01:35:02,560 Speaker 2: The problem is that when we're talking about healthcare, I 1729 01:35:02,600 --> 01:35:05,760 Speaker 2: mean some of it is an actual widget in the 1730 01:35:05,800 --> 01:35:09,440 Speaker 2: way that other things are widgets, right, you know, like medicine. 1731 01:35:10,400 --> 01:35:14,320 Speaker 2: You know, we can make more medicine when we can 1732 01:35:14,320 --> 01:35:18,000 Speaker 2: get into pharmaceuticals for named brands versus Generics, or our 1733 01:35:18,000 --> 01:35:20,320 Speaker 2: good friend Scotti Hughes may come on tomorrow and we 1734 01:35:20,360 --> 01:35:24,600 Speaker 2: may ask her about Generics. But you know, at the 1735 01:35:24,720 --> 01:35:29,880 Speaker 2: end of the day, the real widget is time and access. 1736 01:35:30,760 --> 01:35:33,719 Speaker 2: It's the amount of time that you spend in front 1737 01:35:33,760 --> 01:35:37,959 Speaker 2: of a healthcare provider. That's what's important, right And generally 1738 01:35:38,960 --> 01:35:41,519 Speaker 2: a primary care provider, an intern is to family physician, 1739 01:35:41,560 --> 01:35:45,040 Speaker 2: a pediatrician. And the problem, of course, is is that 1740 01:35:45,160 --> 01:35:50,320 Speaker 2: time is fundamentally finite, and we have a declining number 1741 01:35:50,320 --> 01:35:53,559 Speaker 2: of those medical care providers. So as I used to 1742 01:35:53,560 --> 01:35:58,640 Speaker 2: say fifteen to twenty years ago, we could offer everybody 1743 01:35:58,640 --> 01:36:02,160 Speaker 2: in America Andrew Lang your insurance Andrew Langer Health Insurance, 1744 01:36:02,240 --> 01:36:04,280 Speaker 2: you know, put it up on the exchange, and I 1745 01:36:04,280 --> 01:36:05,719 Speaker 2: could say that you're fully covered. 1746 01:36:06,560 --> 01:36:08,479 Speaker 3: And as I used to talk to audiences, I was like, 1747 01:36:08,520 --> 01:36:08,960 Speaker 3: but you. 1748 01:36:08,920 --> 01:36:12,799 Speaker 2: All know that it's it's valueless, and they would all agree, 1749 01:36:12,800 --> 01:36:16,080 Speaker 2: And I said, why because I can't provide you the 1750 01:36:16,120 --> 01:36:19,400 Speaker 2: service that I'm promising to you. You know, this was 1751 01:36:19,439 --> 01:36:22,760 Speaker 2: the great lie of Obamacare. It wasn't It wasn't. You know, 1752 01:36:22,800 --> 01:36:25,200 Speaker 2: if you like your doctor, you could keep your doctor. 1753 01:36:25,880 --> 01:36:28,000 Speaker 2: If you like your insurance, you can keep your insurance. 1754 01:36:28,000 --> 01:36:31,200 Speaker 2: I mean, those were lies, obviously, but the big lie 1755 01:36:31,360 --> 01:36:34,040 Speaker 2: was that they were solving some kind of problem and 1756 01:36:34,080 --> 01:36:36,439 Speaker 2: what they were doing was actually going to reduce the 1757 01:36:36,479 --> 01:36:40,960 Speaker 2: cost of healthcare to make it more affordable, as in 1758 01:36:41,000 --> 01:36:46,160 Speaker 2: the Affordable Care Act. Right, That's that's the lie. But 1759 01:36:46,360 --> 01:36:52,160 Speaker 2: in no economic system can you increase the demand for 1760 01:36:52,280 --> 01:36:52,679 Speaker 2: the good? 1761 01:36:52,920 --> 01:36:53,080 Speaker 5: Right? 1762 01:36:53,120 --> 01:36:55,599 Speaker 2: Remember the widget the good is the amount of time 1763 01:36:55,920 --> 01:36:59,719 Speaker 2: someone can spend in front of a medical provider. Increased 1764 01:36:59,720 --> 01:37:01,960 Speaker 2: demand by twenty percent. That was the goal of the 1765 01:37:02,000 --> 01:37:07,600 Speaker 2: Affordable Care Act, was to increase that demand while you 1766 01:37:07,720 --> 01:37:11,519 Speaker 2: have a decreasing supply. You know, every year more and 1767 01:37:11,560 --> 01:37:14,240 Speaker 2: more doctors and nurses and physicians assistants are getting out 1768 01:37:14,280 --> 01:37:18,599 Speaker 2: of the practice of medicine. When those two things happen, 1769 01:37:18,680 --> 01:37:21,920 Speaker 2: demand goes up and supply goes down, you cannot make 1770 01:37:22,000 --> 01:37:26,200 Speaker 2: something more affordable. And when you try to artificially make 1771 01:37:26,240 --> 01:37:33,719 Speaker 2: it more affordable by artificially pushing down prices, what happens, Well, 1772 01:37:33,920 --> 01:37:39,800 Speaker 2: the supply curve, it steepens, the decline steepens. People get 1773 01:37:39,800 --> 01:37:43,960 Speaker 2: out faster, they can't recoup their investments, they're getting burned out. 1774 01:37:44,000 --> 01:37:46,639 Speaker 2: They are a whole host of things that are happening there. 1775 01:37:47,040 --> 01:37:47,799 Speaker 3: Now again I'm. 1776 01:37:47,680 --> 01:37:49,719 Speaker 2: Distilling this down to the most basic thing. I could 1777 01:37:49,720 --> 01:37:52,280 Speaker 2: talk much much more generally about this, or I'm sorry, 1778 01:37:52,360 --> 01:37:56,280 Speaker 2: much much more specifically about this. But we knew when 1779 01:37:56,320 --> 01:37:58,640 Speaker 2: the Affordable Character, I knew when the Affordable Character was 1780 01:37:58,680 --> 01:38:00,800 Speaker 2: being passed that this was what was going to happen. 1781 01:38:00,840 --> 01:38:04,000 Speaker 2: That there was no possible way for them to make 1782 01:38:04,080 --> 01:38:10,000 Speaker 2: health insurance, let alone healthcare, more affordable, not without these 1783 01:38:10,040 --> 01:38:13,160 Speaker 2: massive machinations. And what Tom Shafts was going to come 1784 01:38:13,160 --> 01:38:15,679 Speaker 2: on and talk about was this thing called the Center 1785 01:38:15,720 --> 01:38:20,160 Speaker 2: for Medicare and Medicaid Innovation, And this was sort of 1786 01:38:20,160 --> 01:38:24,520 Speaker 2: a government sponsored think tank under the Affordable Care Act CMMI, 1787 01:38:25,000 --> 01:38:29,400 Speaker 2: whose goal was to find ways to examine solutions that 1788 01:38:29,520 --> 01:38:33,120 Speaker 2: would make medicare and medical that would innovate Medicare and 1789 01:38:33,160 --> 01:38:39,000 Speaker 2: Medicaid and thus make them more affordable for people, save 1790 01:38:39,200 --> 01:38:42,840 Speaker 2: billions of dollars. When it was created, it was it 1791 01:38:43,120 --> 01:38:46,400 Speaker 2: was it was scored, which is the way that they 1792 01:38:46,479 --> 01:38:52,920 Speaker 2: do it in DC. It was scored as a revenue saver. So, 1793 01:38:53,080 --> 01:38:56,320 Speaker 2: you know, Tom Shatz, we were at a meeting a 1794 01:38:56,360 --> 01:38:58,360 Speaker 2: couple of weeks ago and I did just did a 1795 01:38:58,400 --> 01:39:01,599 Speaker 2: podcast with him, podcast I think came out last week 1796 01:39:01,640 --> 01:39:03,280 Speaker 2: and go check it out. Maybe that's what we should 1797 01:39:03,280 --> 01:39:04,680 Speaker 2: have done, land that I should have played bits of 1798 01:39:04,680 --> 01:39:09,240 Speaker 2: the podcast. Last week's episode of the Lunch Hour Federal Newswire, 1799 01:39:10,280 --> 01:39:13,439 Speaker 2: Tom came on and talked about about these issues and 1800 01:39:13,520 --> 01:39:18,639 Speaker 2: about how this Center for Medicare and Medicaid innovation has 1801 01:39:18,880 --> 01:39:22,280 Speaker 2: not only not saved the American taxpayer money, it has 1802 01:39:22,400 --> 01:39:25,920 Speaker 2: cost the American taxpayer money. And so I met a 1803 01:39:25,920 --> 01:39:28,479 Speaker 2: meeting a couple of weeks ago with one of Tom's colleagues, 1804 01:39:28,520 --> 01:39:31,439 Speaker 2: gun named Eric Mouse. M a us Eric Mouse, and 1805 01:39:31,920 --> 01:39:34,160 Speaker 2: Eric said something which stunned me. You know, we spent 1806 01:39:34,240 --> 01:39:38,000 Speaker 2: a lot of time in conservative circles talking about CBO, 1807 01:39:38,080 --> 01:39:41,320 Speaker 2: the Congressional Budget Office. We talk about tax issues and 1808 01:39:41,320 --> 01:39:44,720 Speaker 2: how they misscore tax issues. I talk a little bit 1809 01:39:44,720 --> 01:39:49,880 Speaker 2: about how they score a regulatory reform issues. And Eric Mouse, 1810 01:39:49,920 --> 01:39:53,240 Speaker 2: who works with Tom at CGW, said to me, is like, Andrew, yeah, 1811 01:39:53,360 --> 01:39:57,680 Speaker 2: you know, if we were gonna change the law and 1812 01:39:57,720 --> 01:39:59,600 Speaker 2: there's going to be a there's going to be some 1813 01:39:59,680 --> 01:40:02,200 Speaker 2: kind of healthcare package coming up, and let's say that 1814 01:40:02,240 --> 01:40:06,080 Speaker 2: we were just to get rid of CMMI outright, because 1815 01:40:06,120 --> 01:40:09,680 Speaker 2: it spends billions of dollars. I mean, imagine this, Imagine 1816 01:40:09,840 --> 01:40:13,880 Speaker 2: that these are billions of dollars that could go to 1817 01:40:14,600 --> 01:40:18,800 Speaker 2: cancer research, that could go to Actually, we're going to 1818 01:40:18,800 --> 01:40:21,960 Speaker 2: get to the fundamental issue that could go to dealing 1819 01:40:22,000 --> 01:40:25,320 Speaker 2: with actually solving the we're helping to solve the crisis 1820 01:40:25,320 --> 01:40:28,920 Speaker 2: of the number of doctors that we haven't need. And 1821 01:40:29,040 --> 01:40:30,760 Speaker 2: Eric said to me, he goes, yeah. The problem, of 1822 01:40:30,760 --> 01:40:36,120 Speaker 2: course is if we zeroed out CMMI, even though it's 1823 01:40:36,160 --> 01:40:39,760 Speaker 2: cost US billions of dollars as opposed to saved US 1824 01:40:39,760 --> 01:40:44,160 Speaker 2: billions of dollars, CBO would still score it negatively. 1825 01:40:45,720 --> 01:40:47,679 Speaker 3: They would, excuse me. 1826 01:40:47,640 --> 01:40:51,519 Speaker 2: Still score it as adding to the federal budget because 1827 01:40:51,560 --> 01:40:54,760 Speaker 2: at some point in time down the road, someone at 1828 01:40:54,840 --> 01:40:59,360 Speaker 2: CMMI might come up with some kind of an innovation 1829 01:40:59,400 --> 01:41:03,200 Speaker 2: that would save the American taxpayers money. Guys, that is 1830 01:41:03,240 --> 01:41:05,400 Speaker 2: an insane way of doing business. It's like the line 1831 01:41:05,400 --> 01:41:07,360 Speaker 2: from the movie Dave. If I did my books like this, 1832 01:41:07,439 --> 01:41:11,080 Speaker 2: I'd be out of business. You know, We've got to 1833 01:41:11,160 --> 01:41:14,640 Speaker 2: have fundamental reforms here so that when a project that 1834 01:41:14,680 --> 01:41:18,320 Speaker 2: has clearly wasted money over time it is proposed to 1835 01:41:18,400 --> 01:41:21,519 Speaker 2: zero it out, it is viewed for what it is, 1836 01:41:21,600 --> 01:41:24,120 Speaker 2: which is saving the American taxpayer billions of dollars. 1837 01:41:24,280 --> 01:41:25,040 Speaker 3: And here's. 1838 01:41:26,840 --> 01:41:29,160 Speaker 2: And you know something. Yeah, I'm gonna have to have 1839 01:41:29,160 --> 01:41:31,040 Speaker 2: to email time. He just texted me to say he 1840 01:41:31,040 --> 01:41:33,559 Speaker 2: could do it in ten minutes. Unfortunately we're out. Then 1841 01:41:33,640 --> 01:41:36,680 Speaker 2: I'm gonna I'll email him back in a second. I 1842 01:41:36,720 --> 01:41:38,880 Speaker 2: try not to get distracted land and by emails that 1843 01:41:38,920 --> 01:41:42,559 Speaker 2: come in. But the point is, at the end of 1844 01:41:42,560 --> 01:41:45,680 Speaker 2: the day, one of the things that we could do 1845 01:41:46,840 --> 01:41:49,800 Speaker 2: so we don't have enough medical schools, in medical school 1846 01:41:49,840 --> 01:41:52,200 Speaker 2: billets in America, and as a result, the cost of 1847 01:41:52,240 --> 01:41:55,280 Speaker 2: medical school is exorbitantly high. And I'm not saying we 1848 01:41:55,280 --> 01:41:58,080 Speaker 2: need to make medical school free, but I'm saying that 1849 01:41:58,120 --> 01:42:00,200 Speaker 2: we need to be making more doctors, at the very 1850 01:42:00,240 --> 01:42:03,320 Speaker 2: least in America, more doctors, more nurses and physicians' assistants. 1851 01:42:03,479 --> 01:42:09,000 Speaker 2: The problem is even if we doubled, even if we 1852 01:42:09,080 --> 01:42:12,639 Speaker 2: doubled the number of medical schools in America, the problem 1853 01:42:12,760 --> 01:42:16,200 Speaker 2: is that the graduate medical education, so called residency programs, 1854 01:42:16,200 --> 01:42:18,840 Speaker 2: that's what we all call them, residency programs. We have 1855 01:42:18,880 --> 01:42:21,920 Speaker 2: not changed the number of residency billets in America in 1856 01:42:22,080 --> 01:42:28,200 Speaker 2: thirty years because unfortunately, those are funded with Medicare dollars. Now, 1857 01:42:28,360 --> 01:42:30,240 Speaker 2: I would love to find a different way to fund them. 1858 01:42:31,160 --> 01:42:33,639 Speaker 2: But can you imagine if we took the billions that 1859 01:42:33,680 --> 01:42:38,600 Speaker 2: we are wasting on CMMI and turn that over to 1860 01:42:38,880 --> 01:42:43,320 Speaker 2: these medical residency programs so that we were able to 1861 01:42:43,360 --> 01:42:47,479 Speaker 2: get more medical students, a create more medical students, but 1862 01:42:47,520 --> 01:42:51,439 Speaker 2: get them the post medical school education that they need 1863 01:42:51,439 --> 01:42:54,080 Speaker 2: to get out in the field. We might actually be 1864 01:42:54,160 --> 01:42:56,719 Speaker 2: able to when combined with a whole host of other 1865 01:42:56,800 --> 01:42:59,960 Speaker 2: mechanisms to create competition in medical care, we might actual 1866 01:43:00,280 --> 01:43:04,439 Speaker 2: be able to solve some of this problem. And I'm 1867 01:43:04,439 --> 01:43:07,160 Speaker 2: not saying that my solution is the only solution. It's 1868 01:43:07,200 --> 01:43:09,639 Speaker 2: one of the great problems that we have on our side. 1869 01:43:11,600 --> 01:43:13,479 Speaker 2: But at the end of the day, it's a great, great, 1870 01:43:13,520 --> 01:43:17,639 Speaker 2: big step in the right direction. It's a basic resource 1871 01:43:17,680 --> 01:43:21,840 Speaker 2: economics problem. Friends. Anyway, check out my interview with Tom Shatz. 1872 01:43:21,840 --> 01:43:24,200 Speaker 2: I may try to get him tomorrow for the show. 1873 01:43:24,479 --> 01:43:26,920 Speaker 2: I'm Andrew Langer in for Tony Kats Today. Here, I'm 1874 01:43:27,000 --> 01:43:33,160 Speaker 2: Tony Katz Today. Well, wow, guys, believe the show's almost 1875 01:43:33,240 --> 01:43:35,360 Speaker 2: over and this is crazy. Anyway, great show today. I'm 1876 01:43:35,360 --> 01:43:37,640 Speaker 2: so glad I could join you and you can join me. 1877 01:43:38,120 --> 01:43:40,960 Speaker 2: I'm Andrew Langer in for Tony Katz today, Bob we 1878 01:43:41,120 --> 01:43:44,680 Speaker 2: back tomorrow. You can check me out at Andrew Underscore 1879 01:43:44,760 --> 01:43:48,000 Speaker 2: Langer on the Twitter machine going nice To'll call Twitter 1880 01:43:48,200 --> 01:43:52,400 Speaker 2: because I party like it's two thousand and nine. Go 1881 01:43:52,520 --> 01:43:55,080 Speaker 2: check me out there, Facebook dot Com, slash Andrew Langer 1882 01:43:55,120 --> 01:43:56,439 Speaker 2: Show if you want to leave me a message, but 1883 01:43:56,479 --> 01:43:58,599 Speaker 2: follow me. You get to find out everything that's going on. 1884 01:43:59,200 --> 01:44:03,600 Speaker 2: So because I don't think it'll keep another day, obviously, 1885 01:44:03,760 --> 01:44:06,280 Speaker 2: a lot's happening this weekend. At the Turning Point USA 1886 01:44:06,400 --> 01:44:10,639 Speaker 2: America Fest. One of the high points a certain guy 1887 01:44:10,720 --> 01:44:12,439 Speaker 2: named Donald Trump Junior. You may have heard of him 1888 01:44:12,439 --> 01:44:14,800 Speaker 2: as pro Father's President of the United States. He had 1889 01:44:14,840 --> 01:44:17,439 Speaker 2: a special guest call in Let's play cut number five. 1890 01:44:20,200 --> 01:44:22,960 Speaker 2: I wanted to call in a little guest. 1891 01:44:24,240 --> 01:44:28,120 Speaker 8: He may not be here today, but I wanted to 1892 01:44:28,160 --> 01:44:32,760 Speaker 8: make sure he had a chance to say Hi, mister President. 1893 01:44:36,080 --> 01:44:41,439 Speaker 2: Everybody can you guys. I want to be with you, 1894 01:44:42,240 --> 01:44:43,400 Speaker 2: but I'll be with you soon. 1895 01:44:43,520 --> 01:44:46,160 Speaker 7: And I just want to say that nobody did more 1896 01:44:46,200 --> 01:44:48,240 Speaker 7: for me than Charlie, and. 1897 01:44:48,160 --> 01:44:52,120 Speaker 6: There's nobody better than Erica, and you are the greatest 1898 01:44:52,120 --> 01:44:52,880 Speaker 6: people on earth. 1899 01:44:52,960 --> 01:44:55,439 Speaker 2: We won in a landslide and We're going to continue 1900 01:44:55,479 --> 01:44:58,400 Speaker 2: to do him and I just want to thank everybody. 1901 01:44:58,479 --> 01:45:00,000 Speaker 3: So that was that was the president. 1902 01:45:00,080 --> 01:45:03,639 Speaker 2: He called Don Trump Junior called him on a seld 1903 01:45:03,680 --> 01:45:06,200 Speaker 2: presumably I hope that cell number didn't get on the 1904 01:45:06,240 --> 01:45:11,320 Speaker 2: air let's. But also other special guests. A rapper. Her 1905 01:45:11,360 --> 01:45:13,320 Speaker 2: name is Nicki Minaj. You may have heard of her. 1906 01:45:13,360 --> 01:45:15,920 Speaker 2: She's probably the best selling female rap artist of all time. 1907 01:45:16,320 --> 01:45:19,280 Speaker 2: She was there here is cut number six. 1908 01:45:22,760 --> 01:45:25,760 Speaker 5: And what do you think about for young men? For 1909 01:45:25,880 --> 01:45:26,599 Speaker 5: young men. 1910 01:45:27,080 --> 01:45:35,080 Speaker 23: And for young men, don't be new scum. Yes see 1911 01:45:35,200 --> 01:45:40,640 Speaker 23: they are young men. You have amazing role models. 1912 01:45:41,960 --> 01:45:42,759 Speaker 5: Like our. 1913 01:45:44,760 --> 01:45:53,080 Speaker 23: Handsome, dashing president, and you have amazing role models like 1914 01:45:53,280 --> 01:45:59,000 Speaker 23: the assassin JD Van's our vice president. 1915 01:46:00,000 --> 01:46:00,840 Speaker 5: Can I say that. 1916 01:46:08,040 --> 01:46:11,120 Speaker 11: I trust me, there's nothing new under the sun that 1917 01:46:11,200 --> 01:46:12,479 Speaker 11: I have not heard, so. 1918 01:46:17,120 --> 01:46:20,519 Speaker 2: Yes, we did. I have no idea what they were 1919 01:46:20,560 --> 01:46:23,839 Speaker 2: saying saying in the background there, but clearly Nicki Minaj 1920 01:46:24,360 --> 01:46:28,800 Speaker 2: has it has it big for Vice President Fance. So 1921 01:46:29,280 --> 01:46:32,599 Speaker 2: there you go. An interesting repertoire at turning point, As 1922 01:46:32,600 --> 01:46:34,040 Speaker 2: I said, I would have liked to have been there, 1923 01:46:34,520 --> 01:46:36,000 Speaker 2: but at being the end of the year and right 1924 01:46:36,040 --> 01:46:40,120 Speaker 2: on Christmas time, it just could couldn't couldn't make it happen. 1925 01:46:40,400 --> 01:46:43,920 Speaker 2: Maybe next year we will. We will try to, we 1926 01:46:43,960 --> 01:46:46,479 Speaker 2: will try to make it out there. For this I 1927 01:46:46,520 --> 01:46:51,040 Speaker 2: just very exciting and amazing to say the least. It's, 1928 01:46:51,080 --> 01:46:54,519 Speaker 2: you know something. Don't talk more about this tomorrow. We 1929 01:46:54,640 --> 01:46:57,000 Speaker 2: got a big year coming up, guys. As I said 1930 01:46:57,000 --> 01:47:00,640 Speaker 2: earlier on in the show, thank God it's and this 1931 01:47:00,680 --> 01:47:02,840 Speaker 2: is not me sort of making some grandiose thing. I 1932 01:47:03,120 --> 01:47:07,799 Speaker 2: just bless bless God that, thank God that Donald Trumps 1933 01:47:07,800 --> 01:47:11,880 Speaker 2: president going into twenty twenty six, because there is so 1934 01:47:12,000 --> 01:47:16,120 Speaker 2: much happening positive in America. We've got the two hundred 1935 01:47:16,120 --> 01:47:20,280 Speaker 2: and fiftieth anniversary, we are getting ready to return to 1936 01:47:20,640 --> 01:47:24,320 Speaker 2: manned spaceflight to the Moon, landing on the Moon. But 1937 01:47:24,439 --> 01:47:26,240 Speaker 2: really it's this issue of America. I don't know what 1938 01:47:26,240 --> 01:47:28,280 Speaker 2: the rest of you, but I came to a lot 1939 01:47:28,320 --> 01:47:33,040 Speaker 2: of my conservative beliefs because of the Bisentennial and learning 1940 01:47:33,080 --> 01:47:37,519 Speaker 2: about America then who we are as a people, why 1941 01:47:37,560 --> 01:47:41,760 Speaker 2: we broke off from England, and how our revolution continues 1942 01:47:41,800 --> 01:47:45,760 Speaker 2: to today. And it's not Kamala Harris's or Tim Waltz's 1943 01:47:45,840 --> 01:47:49,800 Speaker 2: version of the revolution, but a revolution grounded an individual 1944 01:47:49,920 --> 01:47:53,000 Speaker 2: rights and making sure the government stays off the backs 1945 01:47:53,040 --> 01:47:54,599 Speaker 2: of people you know, be able to spend a little 1946 01:47:54,600 --> 01:47:58,080 Speaker 2: time tomorrow talking about ken Burn's Revolutionary War series. In 1947 01:47:58,120 --> 01:48:00,719 Speaker 2: any case, check me out at Andrew under score Langer 1948 01:48:00,840 --> 01:48:04,160 Speaker 2: on Twitter. I am Andrew Langa. Thank you Landon for 1949 01:48:04,200 --> 01:48:06,800 Speaker 2: producing today. Have a grand not everybody, have fun and 1950 01:48:06,840 --> 01:48:07,439 Speaker 2: stay sacked.