1 00:00:04,760 --> 00:00:05,240 Speaker 1: Good morning. 2 00:00:05,240 --> 00:00:07,320 Speaker 2: You're listening to Casey and Jim in his ninety three 3 00:00:07,560 --> 00:00:11,280 Speaker 2: WIBC and joining us on the WIBC Hotline from the 4 00:00:11,280 --> 00:00:14,040 Speaker 2: Indiana Capitol Chronicle, we have Nicki Kelly. 5 00:00:14,040 --> 00:00:15,560 Speaker 1: Good morning, Niki, morning day. 6 00:00:16,079 --> 00:00:19,640 Speaker 2: Let's start off by talking about the Trump endorsements. He's 7 00:00:19,800 --> 00:00:22,119 Speaker 2: just been rilling them off lately, and I think the 8 00:00:22,200 --> 00:00:25,640 Speaker 2: most curious one has been the one to Senator Liz 9 00:00:25,720 --> 00:00:26,680 Speaker 2: Brown and. 10 00:00:26,680 --> 00:00:28,800 Speaker 1: How that affects I don't know the opinion of. 11 00:00:28,760 --> 00:00:32,839 Speaker 2: Maybe Senator Jim Banks and Attorney General Todd Rokeita. 12 00:00:32,960 --> 00:00:33,839 Speaker 1: Let's talk about it. 13 00:00:34,040 --> 00:00:36,920 Speaker 3: Yeah, that one got some attention. I want to be clear. 14 00:00:36,960 --> 00:00:42,520 Speaker 3: He endorsed like seventeen the people from Indiana the other day. 15 00:00:42,600 --> 00:00:44,480 Speaker 3: One of them was Liz Brown. That is the one 16 00:00:44,520 --> 00:00:47,280 Speaker 3: getting the most of the attention, and that's because Liz 17 00:00:47,280 --> 00:00:52,520 Speaker 3: Brown is currently in a pretty hot primary challenge from 18 00:00:52,520 --> 00:00:56,160 Speaker 3: the right and US center. Jim Banks and Attorney General 19 00:00:56,240 --> 00:01:00,080 Speaker 3: Todd Rakeita have denounced her, saying she's a Ryan. Know 20 00:01:00,640 --> 00:01:04,560 Speaker 3: she's clearly a long time conservative, but they don't like 21 00:01:04,680 --> 00:01:09,480 Speaker 3: some of her votes on immigration and her involvement in 22 00:01:09,560 --> 00:01:12,720 Speaker 3: some bills involving constitutional carry and that kind of thing. 23 00:01:12,920 --> 00:01:16,680 Speaker 3: So some people are definitely seeing it as a bit 24 00:01:16,720 --> 00:01:18,880 Speaker 3: of a slap in the face of Banks, who is, 25 00:01:19,080 --> 00:01:24,200 Speaker 3: you know, clearly a huge Trump supporter. So that's kind 26 00:01:24,200 --> 00:01:24,959 Speaker 3: of fascinating. 27 00:01:25,400 --> 00:01:28,160 Speaker 2: What does it tell us about the relationship then, between 28 00:01:28,400 --> 00:01:32,040 Speaker 2: Donald Trump and Jim Banks and Todd Rokeita for that matter, 29 00:01:32,440 --> 00:01:35,000 Speaker 2: or should we not read anything into it other than 30 00:01:35,240 --> 00:01:37,240 Speaker 2: I think Trump is a fan of someone who once 31 00:01:37,400 --> 00:01:39,920 Speaker 2: wanted redistricting exactly, and. 32 00:01:39,880 --> 00:01:41,800 Speaker 3: I think that's what it is. I don't think it 33 00:01:41,840 --> 00:01:44,800 Speaker 3: really says anything about Jim Banks and Donald Trump. I 34 00:01:44,840 --> 00:01:48,640 Speaker 3: think it's that, you know, he's he's endorsed me a 35 00:01:48,680 --> 00:01:52,680 Speaker 3: bunch of people who supported redistricting when he asked for it, 36 00:01:52,920 --> 00:01:57,960 Speaker 3: and she was one of the loudest redistricting supporters, so 37 00:01:58,840 --> 00:02:01,480 Speaker 3: you know, he called her a warrior. 38 00:02:01,640 --> 00:02:04,360 Speaker 4: I believe now, Nikki, you said that Donald Trump had 39 00:02:04,400 --> 00:02:08,560 Speaker 4: about seventeen endorsements that he gave to Indiana lawmakers. Were 40 00:02:08,600 --> 00:02:13,120 Speaker 4: all of those seventeen endorsements to lawmakers that did support 41 00:02:13,160 --> 00:02:15,800 Speaker 4: redistricting well. 42 00:02:15,600 --> 00:02:20,480 Speaker 3: Or challengers to people who did not support redistricting, okay 43 00:02:20,560 --> 00:02:26,280 Speaker 3: or like it? And interestingly, what he there are three 44 00:02:26,360 --> 00:02:32,480 Speaker 3: races against GOP senators who voted against redistricting that he 45 00:02:32,600 --> 00:02:35,440 Speaker 3: has not weighed in on. So I found that actually 46 00:02:35,480 --> 00:02:42,080 Speaker 3: a little more fascinating. Senator Dan Durnald, Senator Rick nee Meier, 47 00:02:42,240 --> 00:02:46,400 Speaker 3: and Senator Linda Rodgers all voted against redistricting, and they 48 00:02:46,520 --> 00:02:49,639 Speaker 3: have GOP challengers that he has not weighed in on those. 49 00:02:50,120 --> 00:02:51,960 Speaker 2: Okay, So do you think that this is just a 50 00:02:52,040 --> 00:02:55,320 Speaker 2: one time power struggle or does it signal maybe a 51 00:02:55,400 --> 00:02:58,560 Speaker 2: broader alignment inside Indiana's Republican Party. 52 00:02:59,360 --> 00:03:02,600 Speaker 3: I definitely, I think the redistricting kicked it off, But 53 00:03:03,480 --> 00:03:05,320 Speaker 3: you know, I think there are some people who have 54 00:03:05,400 --> 00:03:09,240 Speaker 3: been a little more frustrated. But the Senate especially, they 55 00:03:09,360 --> 00:03:14,720 Speaker 3: have more of an old guard bent to the caucus 56 00:03:14,960 --> 00:03:20,960 Speaker 3: than some of the newer, younger, more maga frankly more 57 00:03:21,000 --> 00:03:25,240 Speaker 3: maga senators, and so I think it's bringing up a 58 00:03:25,280 --> 00:03:28,760 Speaker 3: lot of prior votes and or where the House is 59 00:03:28,800 --> 00:03:32,640 Speaker 3: passed things and then the Senate stops it, and so 60 00:03:32,800 --> 00:03:36,800 Speaker 3: it's sort of highlighted that fracture a little bit. 61 00:03:37,320 --> 00:03:40,200 Speaker 2: Niki Kelly from Indiana Capitol Chronicle is joining us. One 62 00:03:40,280 --> 00:03:43,960 Speaker 2: other endorsement that I wanted to discuss quickly was the 63 00:03:43,960 --> 00:03:47,440 Speaker 2: one of Donald Trump giving to Chris Garden for state 64 00:03:47,600 --> 00:03:50,560 Speaker 2: Senate and Chris Garden. He said that his agenda is 65 00:03:50,680 --> 00:03:55,480 Speaker 2: America first, Hoosiers always, and I'm curious what does that 66 00:03:55,600 --> 00:03:59,600 Speaker 2: actually look like in practice at the state Senate level. 67 00:04:00,040 --> 00:04:03,880 Speaker 3: Yeah, I mean center Garden is in no like, he's 68 00:04:03,920 --> 00:04:06,680 Speaker 3: not in a tight battle, and he is, he's gonna 69 00:04:06,720 --> 00:04:11,240 Speaker 3: win easily. But you know, he's been a very loud 70 00:04:11,360 --> 00:04:16,000 Speaker 3: voice for these conservative policies that Donald Trump has been pushing. 71 00:04:16,240 --> 00:04:19,479 Speaker 3: So you know, he is definitely one of the ones 72 00:04:19,480 --> 00:04:23,599 Speaker 3: who also got and some of the ones that even 73 00:04:23,640 --> 00:04:27,279 Speaker 3: got the things are even unopposed and Trump still endorse them. 74 00:04:27,440 --> 00:04:29,520 Speaker 1: Well, he even endorsed somebody who dropped out. 75 00:04:30,279 --> 00:04:31,719 Speaker 3: Yeah, that's true. 76 00:04:32,040 --> 00:04:35,240 Speaker 4: Hey, Nikki with the Chris Garten endorsement, do you see that? 77 00:04:35,360 --> 00:04:37,159 Speaker 4: And like you said that, you know, there's there's you know, 78 00:04:37,320 --> 00:04:39,160 Speaker 4: Chris Garten isn't really going to need much help in 79 00:04:39,200 --> 00:04:41,680 Speaker 4: getting re elected. Do you see this as a situation 80 00:04:42,000 --> 00:04:44,480 Speaker 4: because there's always been rumors that Chris Garden has been 81 00:04:44,480 --> 00:04:48,080 Speaker 4: interested in more at the state House, whether that's leadership 82 00:04:48,080 --> 00:04:50,719 Speaker 4: within the party or maybe a statewide uh you know, 83 00:04:50,800 --> 00:04:52,919 Speaker 4: running for a state wide office. Do you see this 84 00:04:52,960 --> 00:04:56,279 Speaker 4: as being part of that, maybe him building towards something bigger. 85 00:04:57,320 --> 00:04:59,320 Speaker 3: I mean, I don't think that had anything to do 86 00:04:59,360 --> 00:05:01,840 Speaker 3: with Trump's and since I think he was just thanking 87 00:05:01,920 --> 00:05:06,800 Speaker 3: people voted for a districting and that's basically what that's about. Obviously, 88 00:05:06,880 --> 00:05:11,760 Speaker 3: Chris Garden is looking at larger and more high profile 89 00:05:12,080 --> 00:05:16,159 Speaker 3: future endeavors and that will help him. In Indiana. 90 00:05:16,440 --> 00:05:19,359 Speaker 2: Let's talk about the coal plants, and it's going to 91 00:05:19,440 --> 00:05:22,440 Speaker 2: cost millions of dollars each day to keep these coal 92 00:05:22,440 --> 00:05:23,159 Speaker 2: plants open. 93 00:05:23,240 --> 00:05:24,280 Speaker 1: Tell us what's going on. 94 00:05:24,560 --> 00:05:27,479 Speaker 3: Yeah, So, basically, at the end of the year, the 95 00:05:27,560 --> 00:05:31,480 Speaker 3: Trump administration, through the US Frontment of Energy, ordered two 96 00:05:31,600 --> 00:05:35,880 Speaker 3: Indiana coal plants that were set to stop, you know, shutter. 97 00:05:36,120 --> 00:05:41,000 Speaker 3: The companies Nipsco and Centerpoint Energy had gone through all 98 00:05:41,120 --> 00:05:45,200 Speaker 3: the normal processes to shut down these plants. They say 99 00:05:45,200 --> 00:05:48,680 Speaker 3: they're past their life cycle. They're now costing more to 100 00:05:48,800 --> 00:05:53,080 Speaker 3: operate than, you know, than is worth it. And because 101 00:05:53,080 --> 00:05:56,479 Speaker 3: of this these ninety day emergency orders, it was just 102 00:05:56,600 --> 00:06:00,640 Speaker 3: renewed again this week for another ninety days, forced to 103 00:06:00,720 --> 00:06:07,719 Speaker 3: keep these coal plants online. And utility representatives have pointed out, 104 00:06:08,000 --> 00:06:10,760 Speaker 3: you know, how much money it's costing, and that money 105 00:06:10,800 --> 00:06:15,400 Speaker 3: will ultimately borne by customers, right and rate payers. Because 106 00:06:15,400 --> 00:06:18,920 Speaker 3: some of these plants are you know, they're older, they 107 00:06:18,920 --> 00:06:23,279 Speaker 3: need a lot of more maintenance and repairs, and they 108 00:06:23,360 --> 00:06:27,479 Speaker 3: weren't prepared to keep these things going. And so this 109 00:06:27,560 --> 00:06:30,640 Speaker 3: week we got some new numbers on how much money 110 00:06:30,680 --> 00:06:31,480 Speaker 3: that's costing. 111 00:06:32,080 --> 00:06:34,120 Speaker 4: Now, Niki, where does this go from here? Because you 112 00:06:34,160 --> 00:06:36,160 Speaker 4: mentioned there was a ninety day order and then they 113 00:06:36,200 --> 00:06:39,240 Speaker 4: renewed that ninety day order. Can they just keep renewing 114 00:06:39,279 --> 00:06:42,120 Speaker 4: this or do they run out of renewals? How does 115 00:06:42,160 --> 00:06:43,000 Speaker 4: this go from here? 116 00:06:43,440 --> 00:06:48,920 Speaker 3: Yeah, it's really a little bit unknown. The Trump administration 117 00:06:49,240 --> 00:06:51,960 Speaker 3: started this last year. So the Indian if not the 118 00:06:51,960 --> 00:06:54,400 Speaker 3: only one. This is happening in a couple other states 119 00:06:54,400 --> 00:07:00,000 Speaker 3: as well. There are numerous lawsuits either by the states 120 00:07:00,080 --> 00:07:05,840 Speaker 3: against the Trump administration. They're also lawsuits by environmental advocacy 121 00:07:05,880 --> 00:07:10,880 Speaker 3: groups against the orders, and so it's right now kind 122 00:07:10,880 --> 00:07:13,760 Speaker 3: of in the courts, and we're going to have to see, 123 00:07:14,520 --> 00:07:17,320 Speaker 3: you know, how that happens. We haven't seen this for 124 00:07:18,480 --> 00:07:20,480 Speaker 3: that I know of at least, we haven't seen this 125 00:07:20,640 --> 00:07:24,240 Speaker 3: go on for this long before. And it's really all 126 00:07:24,280 --> 00:07:30,240 Speaker 3: about the move by Republicans who want to continue cold 127 00:07:30,320 --> 00:07:34,200 Speaker 3: they think it's a cheaper alternative, and that by shutting 128 00:07:34,240 --> 00:07:37,000 Speaker 3: down these plants. We are actually in the pain more 129 00:07:37,040 --> 00:07:40,320 Speaker 3: by moving to you know, whether it be guests or 130 00:07:40,400 --> 00:07:43,960 Speaker 3: renewables or whatever. And so you know, it's it's that's 131 00:07:44,000 --> 00:07:45,920 Speaker 3: the backdrop to the whole discussion. 132 00:07:46,440 --> 00:07:49,160 Speaker 2: Niki Kelly from Indiana Capitol Chronicle is joining us. Now 133 00:07:49,200 --> 00:07:52,760 Speaker 2: let's switch gears in have the other energy conversation, and 134 00:07:52,800 --> 00:07:56,520 Speaker 2: that is that the big five Indiana utilities were defending 135 00:07:56,560 --> 00:08:00,320 Speaker 2: their rates. You have the governor saying that he is 136 00:08:00,360 --> 00:08:03,400 Speaker 2: going to review any of the findings. He was giving 137 00:08:03,480 --> 00:08:05,800 Speaker 2: praise to the chairman of the i u R, c 138 00:08:06,120 --> 00:08:10,120 Speaker 2: Andy Z. So does the iu RC actually have the 139 00:08:10,160 --> 00:08:12,680 Speaker 2: power to roll back any of these rate increases or 140 00:08:12,760 --> 00:08:16,920 Speaker 2: is their authority limited to just blocking future rate increases. 141 00:08:17,440 --> 00:08:19,720 Speaker 3: Yeah, I don't know that they could roll any back 142 00:08:19,760 --> 00:08:24,160 Speaker 3: that have been previously approved. But definitely, these these utilities 143 00:08:24,160 --> 00:08:27,400 Speaker 3: are constantly coming for updates to their rates, and so 144 00:08:28,000 --> 00:08:32,360 Speaker 3: they will be able to definitely halt, you know, future 145 00:08:33,200 --> 00:08:36,920 Speaker 3: increases or maybe mitigate future increases. They definitely have that 146 00:08:37,120 --> 00:08:40,920 Speaker 3: power and they clearly are going to try to use it. 147 00:08:41,040 --> 00:08:43,080 Speaker 3: I mean, well, the proof will be in the pudding. 148 00:08:43,200 --> 00:08:47,240 Speaker 3: And I did you know, reporters at that event on Tuesday. 149 00:08:47,880 --> 00:08:51,400 Speaker 3: You know, we're made they make clear, Hey, you guys 150 00:08:51,440 --> 00:08:55,800 Speaker 3: approved all these rate increases. So now for them to 151 00:08:55,960 --> 00:08:59,360 Speaker 3: come out and be like all upset and mad at 152 00:08:59,360 --> 00:09:01,880 Speaker 3: how high the bills are is a little frustrating. 153 00:09:01,960 --> 00:09:05,040 Speaker 2: I think for some that's one way of putting it frustrating, 154 00:09:05,520 --> 00:09:06,719 Speaker 2: or you could say political. 155 00:09:07,160 --> 00:09:09,559 Speaker 4: You know, Nikki, Yeah, you said that the i u 156 00:09:09,720 --> 00:09:12,280 Speaker 4: r C can kind of mitigate future rate increases or 157 00:09:12,280 --> 00:09:14,320 Speaker 4: stop them. Do you get a sense that that's something 158 00:09:14,360 --> 00:09:17,640 Speaker 4: that they're willing to do? I mean, the broad administration 159 00:09:17,720 --> 00:09:19,960 Speaker 4: and the i u R i u r C are 160 00:09:20,000 --> 00:09:22,680 Speaker 4: talking a great game here, but the sense that I 161 00:09:22,720 --> 00:09:25,800 Speaker 4: get is who who's yours? Are frustrated and they want 162 00:09:25,840 --> 00:09:27,000 Speaker 4: more than talk at this point. 163 00:09:27,200 --> 00:09:30,960 Speaker 3: Yeah, I'll say this, if they don't start blocking them, 164 00:09:31,000 --> 00:09:34,079 Speaker 3: they're gonna look kind of silly, right because they've made 165 00:09:34,240 --> 00:09:36,360 Speaker 3: such a huge deal about this. The i u r C, 166 00:09:36,520 --> 00:09:40,280 Speaker 3: which usually toils and obscurity and stays out of the 167 00:09:40,840 --> 00:09:44,600 Speaker 3: you know, the limelight, has you know, they're having this 168 00:09:44,840 --> 00:09:48,119 Speaker 3: listening tour, and they made them come in and justified 169 00:09:48,280 --> 00:09:51,200 Speaker 3: not only their race, but a lot of service issues too. 170 00:09:51,960 --> 00:09:55,679 Speaker 3: And so if they then just approve all of these 171 00:09:55,800 --> 00:09:58,760 Speaker 3: that that that won't look good at all, so I 172 00:09:58,800 --> 00:10:00,000 Speaker 3: hope they're ready to back it up. 173 00:10:00,920 --> 00:10:04,160 Speaker 2: Do you think that Indiana ray payers can expect lower 174 00:10:04,160 --> 00:10:08,360 Speaker 2: bills or refunds or is this just a quote move 175 00:10:08,480 --> 00:10:10,800 Speaker 2: to account accountability in the future. 176 00:10:11,559 --> 00:10:15,560 Speaker 3: Oh, yeah, not a refund. I don't see that having 177 00:10:15,679 --> 00:10:18,240 Speaker 3: I think, I think, and I think there was a 178 00:10:18,440 --> 00:10:21,880 Speaker 3: filing by I and M recently where they actually filed 179 00:10:21,920 --> 00:10:24,920 Speaker 3: to reduce their own rates. So some of this is 180 00:10:25,000 --> 00:10:28,079 Speaker 3: just putting pressure on the utilities, and thetube utility is 181 00:10:28,080 --> 00:10:30,760 Speaker 3: feeling like they have to respond. So it'll be interesting 182 00:10:30,800 --> 00:10:32,240 Speaker 3: to see if others follow that. 183 00:10:34,400 --> 00:10:39,360 Speaker 4: Nikki, how does the potential purchase of AES by Black 184 00:10:39,480 --> 00:10:40,720 Speaker 4: Rock factor into. 185 00:10:40,520 --> 00:10:43,040 Speaker 3: All of this, Well, there were a lot of questions 186 00:10:43,080 --> 00:10:47,320 Speaker 3: to AES about that purchase during the event, they can't 187 00:10:47,480 --> 00:10:51,720 Speaker 3: halt it or really impact at all, So it was 188 00:10:51,840 --> 00:10:54,360 Speaker 3: more just a lot of there's a lot of questions 189 00:10:54,400 --> 00:10:58,440 Speaker 3: and concerns, but no real action that can be taken. 190 00:10:59,120 --> 00:11:03,160 Speaker 3: You know, a company is allowed to sell and well 191 00:11:03,480 --> 00:11:06,440 Speaker 3: that will clearly go through as far as I'm aware. 192 00:11:07,400 --> 00:11:10,360 Speaker 2: Was there any talk about the possibility of removing the 193 00:11:10,440 --> 00:11:13,400 Speaker 2: sales tax from the utility services? 194 00:11:14,120 --> 00:11:17,000 Speaker 3: No, I don't think there was. That's definitely a legislative 195 00:11:17,640 --> 00:11:20,440 Speaker 3: you know ession, and to be fair, that was brought 196 00:11:20,520 --> 00:11:26,520 Speaker 3: up in several amendments this year to try to eliminate that, 197 00:11:26,600 --> 00:11:29,600 Speaker 3: the same as they eliminated it for data centers coming in. 198 00:11:30,880 --> 00:11:34,400 Speaker 3: And the funny part about those discussions in the legislature 199 00:11:34,480 --> 00:11:37,600 Speaker 3: is Republicans would get up after Democrats would offer these 200 00:11:37,640 --> 00:11:40,040 Speaker 3: amendments and they would say, oh, you know, that would 201 00:11:40,120 --> 00:11:43,840 Speaker 3: cost x millions of dollars, but they can't tell you 202 00:11:43,920 --> 00:11:47,760 Speaker 3: how much the seven percent utility sales tax cut break 203 00:11:47,840 --> 00:11:52,040 Speaker 3: for data centers is costing. Right, So that's kind of fascinating. 204 00:11:52,240 --> 00:11:56,960 Speaker 2: Yeah, so they know one one financial moment, but not another. 205 00:11:57,280 --> 00:12:00,520 Speaker 3: That's true. Now, they did actually in a bill, and 206 00:12:00,559 --> 00:12:03,400 Speaker 3: we included this in a story today on a data 207 00:12:03,400 --> 00:12:09,000 Speaker 3: center change to that they did order up a report 208 00:12:09,040 --> 00:12:12,560 Speaker 3: that will define those costs more clearly, I think, so 209 00:12:12,640 --> 00:12:16,040 Speaker 3: they can see who is getting what sent ufits and 210 00:12:16,080 --> 00:12:17,760 Speaker 3: so that's interesting to see. 211 00:12:17,840 --> 00:12:20,240 Speaker 1: Nicki Kelly, we appreciate you and everything you do. 212 00:12:20,320 --> 00:12:23,000 Speaker 2: You can find her and her team of reporters at 213 00:12:23,040 --> 00:12:25,600 Speaker 2: Indiana Capitol Chronicle dot com. 214 00:12:25,640 --> 00:12:29,360 Speaker 1: Thank you, thank you. You're listening to ninety three WIBC 215 00:12:33,520 --> 00:12:34,280 Speaker 1: when we were just. 216 00:12:34,280 --> 00:12:37,559 Speaker 2: Joined by Nicki Kelly from Indiana Capital Chronicle. She mentioned 217 00:12:37,640 --> 00:12:41,040 Speaker 2: something about data centers and if data centers are driving 218 00:12:41,080 --> 00:12:43,680 Speaker 2: up our power bills, that clearly needs fixing. 219 00:12:44,720 --> 00:12:47,080 Speaker 1: But but this is the big butt. 220 00:12:47,160 --> 00:12:51,360 Speaker 2: Shutting everything down also seems like overkill. And now you've 221 00:12:51,360 --> 00:12:55,880 Speaker 2: got AOC along with Bernie Sanders, and they just introduced 222 00:12:55,880 --> 00:12:59,960 Speaker 2: a bill targeting AI data centers and the main idea 223 00:13:00,320 --> 00:13:03,480 Speaker 2: is to pause or put a moratorium. 224 00:13:03,200 --> 00:13:05,560 Speaker 5: On building any new AI. 225 00:13:05,320 --> 00:13:08,480 Speaker 2: Data centers across the country. Why do they want to 226 00:13:08,520 --> 00:13:11,520 Speaker 2: do this, Well, because data centers use huge amounts of 227 00:13:11,600 --> 00:13:17,120 Speaker 2: electricity and they're rising everyone's electricity bills. It's got a 228 00:13:17,200 --> 00:13:21,959 Speaker 2: huge environmental impact as well. And also they're mentioning AI 229 00:13:22,120 --> 00:13:27,920 Speaker 2: broader effects on jobs and society. So AOC was recently 230 00:13:27,960 --> 00:13:31,360 Speaker 2: asked about this and she gave her thoughts on AI. 231 00:13:32,000 --> 00:13:35,800 Speaker 6: So I don't think those efforts are working on behalf 232 00:13:35,840 --> 00:13:39,800 Speaker 6: of the administration. As far as AI, I do not 233 00:13:39,920 --> 00:13:44,240 Speaker 6: regularly integrate it into my daily life, but I know 234 00:13:44,559 --> 00:13:46,719 Speaker 6: many people do. I think our job tends to be 235 00:13:46,760 --> 00:13:49,800 Speaker 6: a little bit more For me. My job, A lot 236 00:13:49,840 --> 00:13:52,040 Speaker 6: of my job is quite writing based, and I like 237 00:13:52,120 --> 00:13:52,880 Speaker 6: to do my own. 238 00:13:53,960 --> 00:13:57,880 Speaker 2: So she says that she's old fashioned and many lawmakers 239 00:13:58,160 --> 00:14:03,080 Speaker 2: who don't use AI, aren't they unqualified to talk about AI? 240 00:14:03,200 --> 00:14:05,000 Speaker 1: Then, I mean she's just saying I. 241 00:14:04,920 --> 00:14:07,360 Speaker 2: Don't use it in my daily life, but yet she's 242 00:14:07,480 --> 00:14:09,840 Speaker 2: introducing bills that affect it. 243 00:14:09,840 --> 00:14:14,120 Speaker 4: It's almost like she's virtue signaling. Wouldn't that be something? Huh? 244 00:14:14,200 --> 00:14:16,920 Speaker 4: A Democrat and a liberal virtue signaling? That sounds what? 245 00:14:16,960 --> 00:14:19,240 Speaker 4: It sounds like. I don't really use this. I don't 246 00:14:19,280 --> 00:14:21,560 Speaker 4: know a lot about it other than I hate it. 247 00:14:22,600 --> 00:14:23,960 Speaker 1: So she's not using it? 248 00:14:24,480 --> 00:14:27,880 Speaker 2: What is her impression of it? It would be inaccurate. 249 00:14:28,400 --> 00:14:31,240 Speaker 2: But there's also the side of me that says I 250 00:14:31,280 --> 00:14:36,080 Speaker 2: don't believe her because she streams on Twitch, she's talked 251 00:14:36,080 --> 00:14:41,680 Speaker 2: about building her own PC, she references gaming culture all 252 00:14:41,720 --> 00:14:44,760 Speaker 2: the time, and you're telling me that she doesn't dabble 253 00:14:44,800 --> 00:14:45,560 Speaker 2: in AI ever. 254 00:14:45,760 --> 00:14:48,760 Speaker 4: Yeah, aocs full of it. I mean, that's easily easy 255 00:14:48,800 --> 00:14:49,720 Speaker 4: conclusion to come to. 256 00:14:49,880 --> 00:14:50,040 Speaker 3: You know. 257 00:14:50,080 --> 00:14:52,200 Speaker 4: I find it interesting that Bernie Sanders is out there 258 00:14:52,240 --> 00:14:55,640 Speaker 4: also pushing this legislation to band AI data centers. And look, 259 00:14:55,840 --> 00:14:58,520 Speaker 4: it's not the and this may be controversial, but it's 260 00:14:58,560 --> 00:15:01,920 Speaker 4: not the AI data center themselves that are the problem 261 00:15:01,920 --> 00:15:03,560 Speaker 4: and that so many people in this country have a 262 00:15:03,640 --> 00:15:08,240 Speaker 4: problem with. It is the massive power consumption they use, 263 00:15:08,480 --> 00:15:11,320 Speaker 4: causing electric rates to go up for everybody. It's the 264 00:15:11,400 --> 00:15:14,080 Speaker 4: tax breaks so many of these states and local entities 265 00:15:14,240 --> 00:15:17,000 Speaker 4: are giving to these data centers, and it's the farmland 266 00:15:17,040 --> 00:15:19,160 Speaker 4: and open space that are being used up. So I 267 00:15:19,200 --> 00:15:20,600 Speaker 4: think to kind of throw the baby out with the 268 00:15:20,600 --> 00:15:23,080 Speaker 4: bathwater and say up, no more data centers. Look, somebody 269 00:15:23,120 --> 00:15:25,040 Speaker 4: wants to build a data center where they're not going 270 00:15:25,080 --> 00:15:26,960 Speaker 4: to push up electricity rates, where they're not going to 271 00:15:27,040 --> 00:15:29,360 Speaker 4: drain the water from the community, where there's not a 272 00:15:29,400 --> 00:15:31,560 Speaker 4: ton of tax breaks going on, and where the local 273 00:15:31,560 --> 00:15:33,600 Speaker 4: community is like, yeah, we're okay with this field being 274 00:15:33,680 --> 00:15:35,560 Speaker 4: used for a data center, then there's nothing wrong with 275 00:15:35,600 --> 00:15:38,520 Speaker 4: AI data centers. It's one of those trigger words where 276 00:15:38,520 --> 00:15:40,880 Speaker 4: people hear it and they ultimately go, oh, no, no, 277 00:15:40,920 --> 00:15:42,680 Speaker 4: that's it, But we got to stop it. No, it's 278 00:15:42,720 --> 00:15:46,040 Speaker 4: the things that the data center builders are asking from 279 00:15:46,080 --> 00:15:49,280 Speaker 4: local communities and governments that are the problem. Somebody comes 280 00:15:49,280 --> 00:15:51,360 Speaker 4: to us and wants to check all those boxes. No 281 00:15:51,520 --> 00:15:55,120 Speaker 4: tax breaks, no extra energy consumption, They're going to bring 282 00:15:55,160 --> 00:15:58,360 Speaker 4: their own energy with them. Then data centers aren't really 283 00:15:58,360 --> 00:15:59,480 Speaker 4: a problem at that point. 284 00:15:59,600 --> 00:16:04,920 Speaker 2: It is reshaping every industry, classrooms even and the workplace 285 00:16:05,240 --> 00:16:08,400 Speaker 2: across the country. But if you've got members of Congress 286 00:16:08,480 --> 00:16:12,560 Speaker 2: who are going to vote on AI regulation, maybe they 287 00:16:12,640 --> 00:16:17,120 Speaker 2: should try it first and not say I don't use it, 288 00:16:17,440 --> 00:16:18,920 Speaker 2: but yet here's a bill to ban it. 289 00:16:19,000 --> 00:16:22,240 Speaker 4: Yeah, and what's frustrating about this? And this is something 290 00:16:22,280 --> 00:16:24,240 Speaker 4: You've got to keep this in mind. We're not the 291 00:16:24,240 --> 00:16:27,400 Speaker 4: only country trying to develop AI. Iran is trying to 292 00:16:27,400 --> 00:16:29,560 Speaker 4: develop AI, or they would but were before we started 293 00:16:29,560 --> 00:16:33,080 Speaker 4: the war. China is developing AI, Russia is developing AI. 294 00:16:33,240 --> 00:16:36,000 Speaker 4: All of our enemies are also in this AI races 295 00:16:36,160 --> 00:16:38,880 Speaker 4: as well. And do you think that they're limiting and 296 00:16:38,960 --> 00:16:43,560 Speaker 4: restricting and regulating their development of AI. Absolutely not. Let's 297 00:16:43,560 --> 00:16:46,800 Speaker 4: be also clear about this. President Trump and his administration 298 00:16:46,880 --> 00:16:50,480 Speaker 4: has said the military has been using AI a lot 299 00:16:50,760 --> 00:16:53,760 Speaker 4: with this war in Iran. This is a big deal. 300 00:16:53,800 --> 00:16:56,560 Speaker 4: And my fear is that if we start over regulating 301 00:16:56,600 --> 00:16:58,720 Speaker 4: it here, our enemies are going to pass us by. 302 00:16:58,920 --> 00:17:02,280 Speaker 2: So supporters of bill say that it protects workers, consumers, 303 00:17:02,280 --> 00:17:04,920 Speaker 2: and communities, and it prevents big tech from passing costs 304 00:17:04,960 --> 00:17:08,040 Speaker 2: onto the public. Critics say it's going to slow down 305 00:17:08,080 --> 00:17:12,119 Speaker 2: innovation and hurt the United States in the AI race. 306 00:17:12,440 --> 00:17:14,919 Speaker 2: Like you just mentioned, it would give an advantage to 307 00:17:14,960 --> 00:17:19,080 Speaker 2: other countries like China. Here's the reality check. This bill 308 00:17:19,160 --> 00:17:21,960 Speaker 2: is unlikely to pass right, but it does show growing 309 00:17:22,000 --> 00:17:24,280 Speaker 2: concern about AI infrastructure. 310 00:17:24,320 --> 00:17:25,960 Speaker 1: I mean, we're talking about an AI bill. 311 00:17:26,119 --> 00:17:28,800 Speaker 2: Heck, they can't even get TSA workers paid at this point. 312 00:17:29,640 --> 00:17:31,399 Speaker 2: But it does kind of lead us back to the 313 00:17:31,440 --> 00:17:36,000 Speaker 2: technology conversation which we started off with today, and especially 314 00:17:36,000 --> 00:17:39,879 Speaker 2: with Milania Trump walking side by side with that sleek, 315 00:17:40,080 --> 00:17:45,520 Speaker 2: black and white faceless figure at her education summit in 316 00:17:45,560 --> 00:17:47,840 Speaker 2: the United States. One of the things that I wanted 317 00:17:47,840 --> 00:17:51,600 Speaker 2: to mention was that, you know, she had the spouses 318 00:17:51,640 --> 00:17:55,520 Speaker 2: of leaders from forty five different nations there, and one 319 00:17:55,520 --> 00:18:01,479 Speaker 2: of them was from France, Brigi Macron, and she was 320 00:18:01,520 --> 00:18:07,360 Speaker 2: talking about which is scary free speech needing limits, And 321 00:18:07,520 --> 00:18:11,359 Speaker 2: she actually said that while she was at the White House. 322 00:18:11,920 --> 00:18:14,480 Speaker 7: I do know that I am the United States, a 323 00:18:14,520 --> 00:18:17,879 Speaker 7: country that I love very much, and here we have 324 00:18:17,960 --> 00:18:21,200 Speaker 7: the country of free speech. But I think that liberty 325 00:18:21,320 --> 00:18:24,359 Speaker 7: does have some rules. We have to be free but 326 00:18:24,440 --> 00:18:26,800 Speaker 7: adapt to certain codes. So I believe in these codes. 327 00:18:27,040 --> 00:18:29,840 Speaker 7: Too many young people are suffering, and they do not 328 00:18:30,040 --> 00:18:33,320 Speaker 7: tell us they but they send signals, very strong signals 329 00:18:33,840 --> 00:18:37,360 Speaker 7: from young people and teenagers. So it's up to us 330 00:18:37,440 --> 00:18:40,679 Speaker 7: to answer them. Let's answer them all together. Thank you 331 00:18:40,760 --> 00:18:42,440 Speaker 7: very much. It's wonderful to be back. 332 00:18:42,560 --> 00:18:42,800 Speaker 1: Okay. 333 00:18:42,840 --> 00:18:44,240 Speaker 2: So that was a twist by the way that b 334 00:18:44,240 --> 00:18:47,600 Speaker 2: Regie Macrone had a male translator with her, but he. 335 00:18:48,000 --> 00:18:50,399 Speaker 4: Say, she sounds a lot different, yeah than you used to. 336 00:18:51,000 --> 00:18:52,400 Speaker 1: Her French accent was gone. 337 00:18:52,840 --> 00:18:56,040 Speaker 2: But you have a foreign dignitary walking into the White 338 00:18:56,040 --> 00:18:57,720 Speaker 2: House and telling us. 339 00:18:57,640 --> 00:18:59,880 Speaker 1: That our First Amendment needs limits. 340 00:19:00,200 --> 00:19:03,879 Speaker 2: The correct answer here is no get out the fact 341 00:19:03,880 --> 00:19:07,119 Speaker 2: that she even said that to our face. 342 00:19:07,920 --> 00:19:11,680 Speaker 5: It's like jaw dropping. How what was she thinking? 343 00:19:11,800 --> 00:19:15,600 Speaker 2: You don't walk into America, into the White House and 344 00:19:15,760 --> 00:19:17,000 Speaker 2: say that. 345 00:19:17,040 --> 00:19:19,159 Speaker 1: Our free speech needs limits. 346 00:19:19,200 --> 00:19:22,560 Speaker 4: But this is the cultural battle that's taking place in 347 00:19:22,560 --> 00:19:25,240 Speaker 4: the West right now and kind of this decoupling that's 348 00:19:25,240 --> 00:19:28,280 Speaker 4: happening between Europe and America. Look, it was last year 349 00:19:28,600 --> 00:19:31,080 Speaker 4: that Donald Trump went over to Europe and dressed down 350 00:19:31,160 --> 00:19:32,879 Speaker 4: all of our allies and are like, you guys aren't 351 00:19:32,880 --> 00:19:35,680 Speaker 4: funding NATO, You're buying your energy from Russia. Your free 352 00:19:35,680 --> 00:19:37,800 Speaker 4: speech here is non existent. You guys need to get 353 00:19:37,800 --> 00:19:40,160 Speaker 4: your act together. And then when that wasn't enough, he said, 354 00:19:40,280 --> 00:19:42,639 Speaker 4: Jade vance over there, and he even hit him harder 355 00:19:42,680 --> 00:19:45,400 Speaker 4: with it. And especially on free speech, there is a divide. 356 00:19:45,440 --> 00:19:49,119 Speaker 4: Europe feels that if you say something nasty about somebody 357 00:19:49,160 --> 00:19:51,600 Speaker 4: on social media, you should go to jail. And there 358 00:19:51,600 --> 00:19:54,280 Speaker 4: are tons of reports, especially in the UK, where people 359 00:19:54,320 --> 00:19:57,080 Speaker 4: have had that happen to them. They post something on 360 00:19:57,119 --> 00:20:00,119 Speaker 4: social media that is viewed as, you know, not the 361 00:20:00,200 --> 00:20:02,159 Speaker 4: right way to speak, and all of a sudden they 362 00:20:02,200 --> 00:20:04,680 Speaker 4: end up with jail time. This is a split that's 363 00:20:04,720 --> 00:20:06,919 Speaker 4: taking place right before our eyes between Europe and the 364 00:20:07,040 --> 00:20:10,560 Speaker 4: United States. Obviously, we stand on the side of free speech. 365 00:20:10,800 --> 00:20:13,280 Speaker 4: It is a key component of our culture and our system. 366 00:20:13,280 --> 00:20:15,720 Speaker 4: Here in the United States of America, we only limit 367 00:20:15,760 --> 00:20:19,680 Speaker 4: free speech in very, very very select circumstances. The problem 368 00:20:19,720 --> 00:20:24,120 Speaker 4: with what Brigitte Macrone says is that everything everything well, 369 00:20:24,160 --> 00:20:27,720 Speaker 4: But the practical problem is if you decide, like you're Europe, 370 00:20:27,760 --> 00:20:29,680 Speaker 4: you decide that you want to limit free speech and 371 00:20:29,720 --> 00:20:31,800 Speaker 4: maybe throw some people in jail when they break that limit. 372 00:20:32,400 --> 00:20:36,040 Speaker 4: The people that are in charge of deciding which speech 373 00:20:36,119 --> 00:20:39,439 Speaker 4: is free and which isn't are the last people you 374 00:20:39,600 --> 00:20:42,600 Speaker 4: want in charge of that. The last people you want 375 00:20:42,640 --> 00:20:46,159 Speaker 4: in charge are the government deciding what you say and 376 00:20:46,240 --> 00:20:48,920 Speaker 4: what you don't say. That is ultimately the problem when 377 00:20:48,960 --> 00:20:51,280 Speaker 4: you limit free speech. Somebody's got to be in charge 378 00:20:51,320 --> 00:20:53,800 Speaker 4: to draw the line. And what we're gonna let AOC 379 00:20:53,960 --> 00:20:56,480 Speaker 4: and Bernie Sanders be part of that process. Not a 380 00:20:56,560 --> 00:20:57,560 Speaker 4: chance in this country. 381 00:20:57,760 --> 00:21:00,240 Speaker 2: You're gonna let Brigie Macron decide for you when you 382 00:21:00,320 --> 00:21:04,800 Speaker 2: say adapt to certain codes. That's exactly how an authoritarian 383 00:21:04,800 --> 00:21:08,520 Speaker 2: government in history has framed censorship. We've heard this before. 384 00:21:08,800 --> 00:21:12,040 Speaker 2: Does not end well, thank you, no, goodbye. 385 00:21:12,119 --> 00:21:15,040 Speaker 4: Yeah, and look. The normal response would be to say, look, 386 00:21:15,040 --> 00:21:16,439 Speaker 4: if that's what you want to do in France, then 387 00:21:16,440 --> 00:21:18,240 Speaker 4: go ahead and knock yourself out and do it in France. 388 00:21:18,280 --> 00:21:21,680 Speaker 4: But the problem with that is Europe is decaying right 389 00:21:21,760 --> 00:21:24,560 Speaker 4: before our eyes. They are powerless, they do not have 390 00:21:24,600 --> 00:21:27,320 Speaker 4: the military and production capacity that they used to. They're 391 00:21:27,359 --> 00:21:30,719 Speaker 4: buying the energy from our adversaries. Europe is definitely the problem. 392 00:21:30,760 --> 00:21:31,639 Speaker 4: Not the United States. 393 00:21:31,720 --> 00:21:34,720 Speaker 5: You're listening to Casey and Jim. It is ninety three WIBC. 394 00:21:38,960 --> 00:21:43,040 Speaker 8: We're focused solely on hospice fraud in California, specifically in 395 00:21:43,080 --> 00:21:46,920 Speaker 8: Los Angeles County. A state audit just came out and 396 00:21:47,000 --> 00:21:50,240 Speaker 8: confirmed that there's at least three and a half billion 397 00:21:50,359 --> 00:21:55,479 Speaker 8: dollars billion dollars in hospice fraud, primarily in one county, 398 00:21:55,560 --> 00:21:57,880 Speaker 8: Los Angeles County, in California. 399 00:21:58,320 --> 00:22:00,000 Speaker 4: That three and a half billion. 400 00:21:59,640 --> 00:22:05,639 Speaker 8: Dollar prostag represents over ten percent of the total bill 401 00:22:06,080 --> 00:22:09,040 Speaker 8: for the federal government for hospice in all fifty states, 402 00:22:09,080 --> 00:22:12,920 Speaker 8: in every city and every state in America. So the 403 00:22:13,280 --> 00:22:17,160 Speaker 8: red flags are there that there was rampant fraud. There's 404 00:22:17,160 --> 00:22:21,440 Speaker 8: a whistleblower that's come forward that alleges that Gavin Knewsome 405 00:22:21,520 --> 00:22:24,240 Speaker 8: neew about this. This is a very similar scenario to 406 00:22:24,280 --> 00:22:27,320 Speaker 8: what we had in Minnesota. 407 00:22:27,440 --> 00:22:30,640 Speaker 2: Yeah, so this shouldn't be about politics. But watch how 408 00:22:30,720 --> 00:22:33,280 Speaker 2: fast some people are going to call a partisan when 409 00:22:33,920 --> 00:22:37,479 Speaker 2: Republicans start pointing out government waste. 410 00:22:37,640 --> 00:22:38,840 Speaker 1: So that was James Comer. 411 00:22:38,960 --> 00:22:43,080 Speaker 2: He is the House Oversite from the houseover Site Committee, 412 00:22:43,320 --> 00:22:46,680 Speaker 2: and they just opened a formal investigation into what they're 413 00:22:46,680 --> 00:22:52,560 Speaker 2: calling rampant hospice fraud in California. Three point five billion 414 00:22:52,680 --> 00:22:57,560 Speaker 2: dollars in hospice fraud in one county. So Trump said 415 00:22:57,560 --> 00:23:00,160 Speaker 2: there was massive fraud in California. And they called I'm 416 00:23:00,160 --> 00:23:03,560 Speaker 2: a liar and then the state's own audit just proved 417 00:23:03,640 --> 00:23:04,280 Speaker 2: him right. 418 00:23:05,000 --> 00:23:06,160 Speaker 1: And guess who's having a. 419 00:23:06,080 --> 00:23:10,439 Speaker 2: Really really bad day, Gavin Newsom. Gavin Newsome, his day 420 00:23:10,960 --> 00:23:11,600 Speaker 2: was ruined. 421 00:23:12,119 --> 00:23:15,520 Speaker 4: Yeah, here is what is you know, so frustrating about 422 00:23:15,560 --> 00:23:18,600 Speaker 4: this and it all ties together and yeah, okay, big shocker. 423 00:23:18,760 --> 00:23:22,040 Speaker 4: There's massive fraud happening with government dollars in California. Oh, 424 00:23:22,040 --> 00:23:26,480 Speaker 4: big shocker. There was massive Somali daycare fraud happening in Minneapolis. 425 00:23:26,480 --> 00:23:28,520 Speaker 4: And we had, you know, tons of fraud that happened 426 00:23:28,560 --> 00:23:30,600 Speaker 4: with the you know, billions and billions of dollars that 427 00:23:30,600 --> 00:23:32,800 Speaker 4: the government gave out during COVID. And look, we've even 428 00:23:33,000 --> 00:23:35,960 Speaker 4: talked about it yesterday. Here the potential fraud for medicaid 429 00:23:36,000 --> 00:23:37,919 Speaker 4: in the state of Indiana, and they're concerned about that. 430 00:23:38,000 --> 00:23:39,919 Speaker 4: And it was that Wall Street Journal story relating to 431 00:23:39,960 --> 00:23:43,399 Speaker 4: autism care that's kind of sparked a renewed interest in 432 00:23:43,840 --> 00:23:47,400 Speaker 4: the state of Indiana and potential medicare fraud or medicaid fraud. Rather, 433 00:23:47,960 --> 00:23:52,679 Speaker 4: it just it feels like it feels like we're not 434 00:23:52,960 --> 00:23:55,840 Speaker 4: getting our money's worth on everything. It feels like that 435 00:23:55,880 --> 00:23:59,160 Speaker 4: if you play by the rules. You're a sucker. You're 436 00:23:59,160 --> 00:24:01,280 Speaker 4: a sucker, and we talk about it all the time. 437 00:24:01,280 --> 00:24:03,480 Speaker 4: We Look, we've got the fifth highest gas tax in 438 00:24:03,520 --> 00:24:06,320 Speaker 4: the nation, yet our roads are a total dumpster fire, 439 00:24:06,440 --> 00:24:08,679 Speaker 4: and we're talking about a new four to five billion 440 00:24:08,760 --> 00:24:12,639 Speaker 4: dollar a year toll road fee quote also known as 441 00:24:12,720 --> 00:24:15,280 Speaker 4: a tax coming to us. It feels like we're not 442 00:24:15,320 --> 00:24:17,680 Speaker 4: getting our money's worth. Just feels that way. Look, one 443 00:24:17,720 --> 00:24:20,159 Speaker 4: out of every seven people in this country work for 444 00:24:20,320 --> 00:24:23,879 Speaker 4: a government, either federal, state, or local. Nearly fifty percent, 445 00:24:24,080 --> 00:24:27,480 Speaker 4: nearly fifty percent of workers in this country don't pay 446 00:24:27,560 --> 00:24:31,919 Speaker 4: any federal income tax, zero federal income tax. It feels 447 00:24:32,000 --> 00:24:33,800 Speaker 4: like that if you get up and you go to 448 00:24:33,840 --> 00:24:36,280 Speaker 4: work and you do your job, you come home and 449 00:24:36,320 --> 00:24:38,280 Speaker 4: you pay your taxes, and you do everything right. And 450 00:24:38,320 --> 00:24:40,119 Speaker 4: by the way, that's a lot tougher to afford the 451 00:24:40,160 --> 00:24:42,240 Speaker 4: American life today because things are so out of control. 452 00:24:42,240 --> 00:24:44,240 Speaker 4: But it feels like if you do everything right, that 453 00:24:44,359 --> 00:24:46,840 Speaker 4: you're the sucker in all of this. We're the suckers. 454 00:24:46,960 --> 00:24:48,400 Speaker 4: We're the ones that get up and go to work 455 00:24:48,400 --> 00:24:50,680 Speaker 4: every day and pay our taxes. And yet so many 456 00:24:50,720 --> 00:24:53,280 Speaker 4: other people in this country don't pay taxes, are on 457 00:24:53,359 --> 00:24:56,000 Speaker 4: the federal government teat or the state or local government 458 00:24:56,040 --> 00:25:00,520 Speaker 4: teat committing fraud. It seems like everywhere makes you want 459 00:25:00,560 --> 00:25:02,200 Speaker 4: to sit here and give up and say, look, I'm 460 00:25:02,200 --> 00:25:04,960 Speaker 4: not participating in this anymore because I'm the one doing 461 00:25:05,000 --> 00:25:07,560 Speaker 4: it right, and yet I'm getting killed everywhere I turn. 462 00:25:07,720 --> 00:25:09,400 Speaker 2: Well, and that's why you've seen the rise in people 463 00:25:09,480 --> 00:25:11,520 Speaker 2: saying I'm not paying my income taxes this year. 464 00:25:11,640 --> 00:25:13,200 Speaker 1: I'm not playing their game anymore. 465 00:25:13,280 --> 00:25:15,200 Speaker 4: Yeah, but those aren't even the people I'm talking about. 466 00:25:15,200 --> 00:25:17,320 Speaker 4: Those are the crazy liberal lefties that are doing it 467 00:25:17,320 --> 00:25:19,680 Speaker 4: as a protest against Donald Trump. And look, I mean 468 00:25:19,880 --> 00:25:21,800 Speaker 4: it's a bad idea. Just so you know, it is 469 00:25:21,840 --> 00:25:25,640 Speaker 4: a really really bad idea to not pay your income taxes, 470 00:25:25,920 --> 00:25:28,800 Speaker 4: But it does it makes sense as to why so 471 00:25:28,880 --> 00:25:31,320 Speaker 4: many in the people in this country are so frustrated. 472 00:25:31,480 --> 00:25:33,520 Speaker 4: Because you get up, you go to work, you pay 473 00:25:33,520 --> 00:25:35,600 Speaker 4: your taxes, you do the things you're supposed to do. 474 00:25:35,720 --> 00:25:37,760 Speaker 4: Oh and by the way, I do all of that, 475 00:25:38,080 --> 00:25:40,920 Speaker 4: and life is nearly unaffordable. And all these other people 476 00:25:41,000 --> 00:25:43,119 Speaker 4: seem to be gaming the system and getting something out 477 00:25:43,160 --> 00:25:45,400 Speaker 4: of it, whether it's fraud or on the government teat 478 00:25:45,520 --> 00:25:48,000 Speaker 4: or anything else. Yet we're the dummies because we're the 479 00:25:48,040 --> 00:25:49,359 Speaker 4: ones doing what we're supposed to do. 480 00:25:49,560 --> 00:25:52,280 Speaker 2: So you've got seventy providers that were suspended in Los 481 00:25:52,320 --> 00:25:57,399 Speaker 2: Angeles alone in just days. So imagine what they haven't found. 482 00:25:57,960 --> 00:26:01,440 Speaker 2: This is just from looking for a few days. Now, 483 00:26:01,560 --> 00:26:05,240 Speaker 2: imagine what they haven't found. And that's why you've got 484 00:26:05,240 --> 00:26:08,840 Speaker 2: this fraud task Force. It's the reason that it exists. 485 00:26:09,080 --> 00:26:13,040 Speaker 2: The money was always there, is just being stolen. And 486 00:26:13,280 --> 00:26:17,520 Speaker 2: now you've got JD. Vance and he's up and running. 487 00:26:17,880 --> 00:26:20,600 Speaker 2: Shout out to him. They're out in force, proving that 488 00:26:20,680 --> 00:26:23,879 Speaker 2: once again, Donald Trump was right about all the massive 489 00:26:23,920 --> 00:26:25,400 Speaker 2: fraud in California. 490 00:26:25,960 --> 00:26:28,359 Speaker 9: So I like frauds are It's certainly what we're going 491 00:26:28,440 --> 00:26:29,800 Speaker 9: to do, and look, we have to do it. 492 00:26:29,800 --> 00:26:32,399 Speaker 4: As the President said, this is a problem with as festered. 493 00:26:32,160 --> 00:26:34,520 Speaker 9: In this country for far too long, and far to 494 00:26:34,880 --> 00:26:36,920 Speaker 9: few people have actually wanted to do anything about it. 495 00:26:37,080 --> 00:26:39,960 Speaker 9: That's what makes this administration different is that we actually 496 00:26:40,040 --> 00:26:42,240 Speaker 9: tackle the problems the American people have been confronting. 497 00:26:42,480 --> 00:26:43,640 Speaker 1: So I'm very happy about it. 498 00:26:44,600 --> 00:26:46,919 Speaker 2: So yeah, it's like his team hit the ground running 499 00:26:47,400 --> 00:26:49,080 Speaker 2: and the results speak for themselves. 500 00:26:49,240 --> 00:26:50,800 Speaker 1: Seventy suspensions in days. 501 00:26:51,160 --> 00:26:55,760 Speaker 2: Funding has been paused, and this is what America first 502 00:26:55,840 --> 00:27:00,200 Speaker 2: in practice actually looks like protecting the taxpayer's money from 503 00:27:00,240 --> 00:27:01,240 Speaker 2: career fraudstars. 504 00:27:01,320 --> 00:27:02,920 Speaker 4: In O case, you bring up a really good point 505 00:27:03,040 --> 00:27:05,240 Speaker 4: in the fact that this is the fraud that we've 506 00:27:05,400 --> 00:27:08,200 Speaker 4: found so far, think of what as else is out 507 00:27:08,200 --> 00:27:10,120 Speaker 4: there that we haven't found? And it brings me back 508 00:27:10,119 --> 00:27:12,959 Speaker 4: to the days of Elon Musk running DOGE. You know, 509 00:27:13,040 --> 00:27:16,280 Speaker 4: he was only in there, what two three months, really 510 00:27:16,359 --> 00:27:18,959 Speaker 4: kind of operating DOGE found a whole bunch of corruption 511 00:27:19,040 --> 00:27:21,359 Speaker 4: at USAID didn't even have a chance to get to 512 00:27:21,640 --> 00:27:24,879 Speaker 4: the nightmare, the fiscal nightmare that is the Pentagon, an 513 00:27:25,000 --> 00:27:27,119 Speaker 4: organization that hasn't been able to pass an audit in 514 00:27:27,160 --> 00:27:30,959 Speaker 4: a decade or something near a decade. That's exactly what 515 00:27:31,000 --> 00:27:33,399 Speaker 4: it is. What else is going on out there that 516 00:27:33,480 --> 00:27:35,639 Speaker 4: we don't know about? And that's one of the reasons why. 517 00:27:35,720 --> 00:27:37,520 Speaker 4: And I know Elon Musk when he did Dog, he 518 00:27:37,560 --> 00:27:39,760 Speaker 4: went in there with a chainsaw, and there were probably 519 00:27:39,760 --> 00:27:42,400 Speaker 4: some good government employees that didn't deserve to lose their jobs. 520 00:27:42,440 --> 00:27:44,240 Speaker 4: But at this point, it kind of feels like that's 521 00:27:44,240 --> 00:27:46,480 Speaker 4: the only option we've got left, just tear it all 522 00:27:46,520 --> 00:27:49,840 Speaker 4: apart and start over from scratch, because it's a disaster 523 00:27:50,040 --> 00:27:50,480 Speaker 4: right now. 524 00:27:50,520 --> 00:27:53,520 Speaker 2: Well, DOGE is back up and running and Tim Burchett 525 00:27:53,720 --> 00:27:57,399 Speaker 2: is the DOGE committee chairman, and he was getting a 526 00:27:57,400 --> 00:27:59,680 Speaker 2: lot of flak for not doing anything for a while. 527 00:27:59,680 --> 00:28:00,480 Speaker 5: But he did have his. 528 00:28:00,440 --> 00:28:05,159 Speaker 2: First meeting yesterday with DOGE subcommittees. Their role is to 529 00:28:05,520 --> 00:28:08,480 Speaker 2: root out duplications in government. He said, they're going to 530 00:28:08,520 --> 00:28:12,160 Speaker 2: find millions of dollars with that, And rather than have 531 00:28:12,320 --> 00:28:15,840 Speaker 2: a really formal proceeding, he called it a round table 532 00:28:16,280 --> 00:28:20,520 Speaker 2: where they could just discuss openly, rather than point someone 533 00:28:20,560 --> 00:28:23,719 Speaker 2: out and give them an allotted amount of time to speak. 534 00:28:23,800 --> 00:28:25,520 Speaker 5: It was much more informal than that. 535 00:28:25,880 --> 00:28:30,400 Speaker 2: But here's something else you had, RFK Junior saying that 536 00:28:30,480 --> 00:28:36,920 Speaker 2: the Biden White House ordered HHS to ignore fraud. 537 00:28:37,080 --> 00:28:37,800 Speaker 1: Check this out. 538 00:28:38,040 --> 00:28:42,200 Speaker 10: I'm not partisan person, but I one of the things 539 00:28:42,240 --> 00:28:45,280 Speaker 10: that I've found out from people in my agency was 540 00:28:45,320 --> 00:28:49,000 Speaker 10: they were ordered durned by the Biden White House not 541 00:28:49,280 --> 00:28:52,480 Speaker 10: to do program integrity, in other words, not to enforce 542 00:28:52,520 --> 00:28:56,560 Speaker 10: against fraud. And they said they were told, we want 543 00:28:56,560 --> 00:28:59,360 Speaker 10: to focus on only enrollment and getting more and more 544 00:28:59,400 --> 00:29:02,480 Speaker 10: people into the system. 545 00:29:02,000 --> 00:29:05,600 Speaker 2: Just in role, as many people as possible, legal or illegal. 546 00:29:05,680 --> 00:29:06,600 Speaker 1: That was the directive. 547 00:29:07,240 --> 00:29:10,360 Speaker 2: So You've got the Biden administration that didn't just fail 548 00:29:10,440 --> 00:29:14,320 Speaker 2: to stop the fraud, they were ordering the agencies responsible 549 00:29:14,320 --> 00:29:17,400 Speaker 2: for stopping it to look the other way. That's not 550 00:29:17,520 --> 00:29:21,840 Speaker 2: just incompetence, that's a policy decision that is a huge 551 00:29:21,960 --> 00:29:24,600 Speaker 2: betrayal of every American tax pair. 552 00:29:24,800 --> 00:29:27,440 Speaker 4: Well, we saw something similar, it wasn't fraud related, but 553 00:29:27,520 --> 00:29:29,520 Speaker 4: saw something similar. Hear here in the state of Indiana 554 00:29:29,600 --> 00:29:33,240 Speaker 4: under the Hulcom administration during COVID, we added tons and 555 00:29:33,360 --> 00:29:35,360 Speaker 4: tons of people to the Medicaid roles here in the 556 00:29:35,360 --> 00:29:37,800 Speaker 4: state of Indiana with federal COVID dollars. 557 00:29:37,920 --> 00:29:39,880 Speaker 1: It as many people as you can which if you. 558 00:29:39,920 --> 00:29:42,600 Speaker 4: Had two brain cells to rub together, you knew that 559 00:29:42,680 --> 00:29:45,840 Speaker 4: eventually that sweet sweet federal COVID money was going to 560 00:29:45,920 --> 00:29:47,880 Speaker 4: dry up, and then you had all these new people 561 00:29:47,960 --> 00:29:50,640 Speaker 4: on the Medicaid rolls and not enough funding to provide 562 00:29:50,640 --> 00:29:52,920 Speaker 4: for them. And that's the exact situation that we're in 563 00:29:53,000 --> 00:29:55,040 Speaker 4: right now. So the state of Indiana in a lot 564 00:29:55,040 --> 00:29:57,200 Speaker 4: of ways, and again there was no alleged fraud at 565 00:29:57,320 --> 00:29:59,960 Speaker 4: least yet under what Hulcomb did with that COVID money 566 00:30:00,040 --> 00:30:01,800 Speaker 4: and Medicaid here in the state of Indiana. But their 567 00:30:01,800 --> 00:30:04,280 Speaker 4: goal was to just get bodies on the rolls, get 568 00:30:04,280 --> 00:30:06,880 Speaker 4: bodies taking part in these programs, and we'll just figure 569 00:30:06,880 --> 00:30:08,160 Speaker 4: out the rest of it later, I guess. 570 00:30:08,440 --> 00:30:13,560 Speaker 2: Okay, speaking of fraud, here's a Detroit woman. She is 571 00:30:13,720 --> 00:30:18,400 Speaker 2: clearly driving her car during a court zoom call, and 572 00:30:18,880 --> 00:30:23,080 Speaker 2: she completely tries to gaslight the judge by claiming, no, 573 00:30:23,880 --> 00:30:25,520 Speaker 2: she's not actually driving the car. 574 00:30:25,640 --> 00:30:26,840 Speaker 1: She is on zoom. 575 00:30:27,160 --> 00:30:29,680 Speaker 5: He can see her, and you. 576 00:30:30,520 --> 00:30:35,920 Speaker 2: Listen to the goal of this woman just gaslighting a judge. 577 00:30:36,280 --> 00:30:38,040 Speaker 11: You cannot be driving, ma'am. 578 00:30:38,120 --> 00:30:41,280 Speaker 3: What are you doing on I'm not driving, I'm a 579 00:30:41,320 --> 00:30:42,640 Speaker 3: passenger in a car. 580 00:30:43,120 --> 00:30:46,600 Speaker 11: You're still I'm not here in cases with people driving 581 00:30:46,680 --> 00:30:48,440 Speaker 11: or its passengers and cars. 582 00:30:48,840 --> 00:30:50,400 Speaker 3: Okay, I will pull over right. 583 00:30:50,480 --> 00:30:52,920 Speaker 11: Jord of us coming out to everybody's house and doing 584 00:30:52,920 --> 00:30:55,200 Speaker 11: these on boats and stuff in the summer, I don't know. 585 00:30:56,000 --> 00:30:58,720 Speaker 3: I'm sorry, I have an emergency. I'm going out of 586 00:30:58,800 --> 00:31:00,840 Speaker 3: town for a family member, but I will have my 587 00:31:00,920 --> 00:31:01,720 Speaker 3: driver pull over. 588 00:31:01,840 --> 00:31:04,240 Speaker 2: Hang on, one second, I'm sorry, I didn't know that 589 00:31:04,320 --> 00:31:06,040 Speaker 2: I wasn't allowed to be in a car. 590 00:31:06,080 --> 00:31:07,160 Speaker 3: But not one second. 591 00:31:07,240 --> 00:31:08,560 Speaker 4: You can see her holding the steering. 592 00:31:08,880 --> 00:31:10,720 Speaker 11: By the way in the video, Am I crazy or 593 00:31:10,720 --> 00:31:12,720 Speaker 11: does it not look like you're driving that car. 594 00:31:13,560 --> 00:31:15,160 Speaker 5: I'm not driving the car. 595 00:31:15,200 --> 00:31:16,680 Speaker 3: I'm a passenger in the car. 596 00:31:16,760 --> 00:31:20,400 Speaker 11: Sir, what side of the car you want? 597 00:31:21,120 --> 00:31:23,080 Speaker 5: I'm on the left hand side. 598 00:31:23,520 --> 00:31:25,320 Speaker 11: How would you be on the left hand side if 599 00:31:25,360 --> 00:31:28,080 Speaker 11: you're a passenger in the front seat? Am I missing something? 600 00:31:29,000 --> 00:31:31,840 Speaker 3: Left hand? Right hand side? I'm sorry, I've been sitting 601 00:31:31,880 --> 00:31:32,960 Speaker 3: in a room. I didn't know. 602 00:31:37,360 --> 00:31:37,640 Speaker 9: Totally. 603 00:31:38,640 --> 00:31:41,040 Speaker 11: Now the seat belts coming off of the of the 604 00:31:41,320 --> 00:31:48,720 Speaker 11: driver's side. You know you're lying to me, right, I got, sir, 605 00:31:52,560 --> 00:31:56,840 Speaker 11: Let me see the driver, put the driver on. 606 00:31:56,920 --> 00:31:57,720 Speaker 1: Can let me see the. 607 00:31:57,760 --> 00:32:04,960 Speaker 4: Driver and call and call. 608 00:31:59,200 --> 00:32:03,520 Speaker 3: And I have to ask their permission? 609 00:32:03,680 --> 00:32:09,120 Speaker 2: Oh of course, Oh my goodness. 610 00:32:12,240 --> 00:32:13,800 Speaker 11: Well, you're not in the drive. You weren't in the 611 00:32:13,880 --> 00:32:15,920 Speaker 11: driver's side. Do you think I'm that stupid? 612 00:32:16,480 --> 00:32:17,800 Speaker 1: Yes, she does. 613 00:32:18,360 --> 00:32:20,520 Speaker 11: I'm going to go ahead and enter of default judgment. 614 00:32:20,560 --> 00:32:25,800 Speaker 11: Our paperwork says that we can't have that they can't drive, 615 00:32:25,920 --> 00:32:26,520 Speaker 11: does it not. 616 00:32:26,520 --> 00:32:29,200 Speaker 1: Jennifer, I'm sorry, your honor. 617 00:32:29,240 --> 00:32:30,840 Speaker 3: I took a breath in and started choking. 618 00:32:31,040 --> 00:32:34,920 Speaker 11: Well, our paperwork not tell people that they can't be 619 00:32:35,040 --> 00:32:35,680 Speaker 11: in a car. 620 00:32:36,720 --> 00:32:38,600 Speaker 3: I don't know, You're honor right. Have to look at 621 00:32:38,600 --> 00:32:40,320 Speaker 3: it again. I haven't looked at it in a line 622 00:32:40,360 --> 00:32:42,840 Speaker 3: at It does not say that I cannot be in 623 00:32:43,040 --> 00:32:43,520 Speaker 3: a car. 624 00:32:44,040 --> 00:32:47,120 Speaker 11: I'm entering a default judgment. You lied to me Judgment 625 00:32:47,240 --> 00:32:50,280 Speaker 11: nineteen twenty one eighty five, send me your jun council 626 00:32:50,560 --> 00:32:54,600 Speaker 11: and put in their defendant was not available at the time, 627 00:32:55,120 --> 00:32:57,920 Speaker 11: and then was driving a car and telling the court 628 00:32:58,040 --> 00:33:00,880 Speaker 11: she was not I'm entering a default. Judge, have a 629 00:33:00,920 --> 00:33:01,360 Speaker 11: great thing. 630 00:33:01,600 --> 00:33:04,680 Speaker 2: She looked the judge dead in the eye via zoom 631 00:33:04,960 --> 00:33:10,160 Speaker 2: and said I'm not driving while driving in court on camera. 632 00:33:10,400 --> 00:33:13,880 Speaker 1: That woman had so much confidence. 633 00:33:13,760 --> 00:33:17,840 Speaker 2: Or she has never faced a consequence in her life. 634 00:33:17,920 --> 00:33:21,200 Speaker 2: She's probably been lying like that her entire life. 635 00:33:21,280 --> 00:33:23,240 Speaker 4: Yeah, she did have a lot of conviction in those lies. 636 00:33:23,320 --> 00:33:24,600 Speaker 4: Certainly had a lot of conviction in her. 637 00:33:24,720 --> 00:33:26,040 Speaker 1: And she had so many excuses. 638 00:33:26,080 --> 00:33:29,800 Speaker 2: Did you hear she had to ask the driver, which 639 00:33:29,840 --> 00:33:32,760 Speaker 2: there wasn't one, for permission to put them on camera. 640 00:33:33,280 --> 00:33:35,600 Speaker 2: And then when she pulled over, she said that she 641 00:33:35,960 --> 00:33:39,160 Speaker 2: had something in her throat. Then she said she had 642 00:33:39,240 --> 00:33:42,560 Speaker 2: a medical emergency that she had to get to. And 643 00:33:42,840 --> 00:33:46,320 Speaker 2: she also talked about she wasn't paying attention because something 644 00:33:46,360 --> 00:33:47,400 Speaker 2: else was on her mind. 645 00:33:47,600 --> 00:33:51,120 Speaker 4: No accountability whatsoever from her. Maybe we just start doing 646 00:33:51,200 --> 00:33:53,520 Speaker 4: court the way we used to, which is in person. 647 00:33:53,840 --> 00:33:57,120 Speaker 4: Maybe zoom for court was strictly a COVID thing and 648 00:33:57,200 --> 00:33:59,800 Speaker 4: maybe something we shouldn't continue doing. It did remind me 649 00:33:59,840 --> 00:34:03,880 Speaker 4: of the very famous viral video during COVID where a 650 00:34:03,920 --> 00:34:08,040 Speaker 4: gentleman was attending court via zoom and somebody had messed 651 00:34:08,080 --> 00:34:10,400 Speaker 4: with his computer settings and had put the cat filter 652 00:34:10,840 --> 00:34:13,120 Speaker 4: on him, and so he looked like a talking cat, 653 00:34:13,239 --> 00:34:16,720 Speaker 4: and the famous line was, Judge, I promise you I 654 00:34:16,760 --> 00:34:17,760 Speaker 4: am not a cat. 655 00:34:17,880 --> 00:34:21,520 Speaker 2: I'm not a cat. Definitely, am I crazy? No, you're honor, 656 00:34:21,680 --> 00:34:24,200 Speaker 2: You're not crazy. I mean, this is just a Thursday 657 00:34:24,239 --> 00:34:27,640 Speaker 2: in twenty twenty six. But it's the gas lighting that 658 00:34:27,800 --> 00:34:32,600 Speaker 2: is so normalized that this woman's even gonna try any. 659 00:34:33,080 --> 00:34:37,160 Speaker 1: Court of law with a judge. Yeah, he saw right through, and. 660 00:34:37,080 --> 00:34:39,200 Speaker 4: You're exactly right. This is probably the type of woman 661 00:34:39,239 --> 00:34:42,719 Speaker 4: who has been lying her entire life and is very 662 00:34:42,719 --> 00:34:46,200 Speaker 4: good at it. Remember what George Castanza and Seinfeld taught us, 663 00:34:46,840 --> 00:34:50,000 Speaker 4: it's not a lie if you believe it. And I 664 00:34:50,040 --> 00:34:52,240 Speaker 4: think she believed that she really wasn't driving. 665 00:34:52,360 --> 00:34:54,680 Speaker 2: She was really trying her best to convince that judge 666 00:34:54,680 --> 00:34:57,360 Speaker 2: she was not driving. We've got the best audio of 667 00:34:57,400 --> 00:34:59,719 Speaker 2: the day Up next, it's Casey and Jim on ninety 668 00:34:59,719 --> 00:35:08,040 Speaker 2: three WIBC. If you put this week in the history books, 669 00:35:08,160 --> 00:35:13,839 Speaker 2: it would be remembered as the week that the airline 670 00:35:14,440 --> 00:35:17,560 Speaker 2: TSA lines were really really long. 671 00:35:17,880 --> 00:35:19,840 Speaker 4: Well, I mean it's official. They came out four or 672 00:35:19,880 --> 00:35:23,240 Speaker 4: five hours. Yeah that these are the worst TSA airline 673 00:35:23,280 --> 00:35:24,720 Speaker 4: wait times in history. 674 00:35:24,840 --> 00:35:28,520 Speaker 2: Yes, yeah, record long airport wait times, sometimes four hours. 675 00:35:28,560 --> 00:35:31,840 Speaker 2: Officials warned that smaller airports may have to shut down. 676 00:35:31,600 --> 00:35:33,319 Speaker 5: If the situation continues. 677 00:35:33,840 --> 00:35:37,759 Speaker 2: You have the TSA agents not being paid, and now 678 00:35:37,800 --> 00:35:41,399 Speaker 2: you have ICE agents being deployed to help at airports, 679 00:35:41,560 --> 00:35:45,080 Speaker 2: and the chaos just continues. Having said all that, it 680 00:35:45,160 --> 00:35:48,040 Speaker 2: is time to go to our best audio of the day. 681 00:35:48,880 --> 00:35:50,200 Speaker 5: We have an eleven am flight. 682 00:35:50,680 --> 00:35:51,719 Speaker 1: What has it been like? 683 00:35:52,800 --> 00:35:53,160 Speaker 2: Terrible? 684 00:35:54,400 --> 00:35:56,560 Speaker 4: What do you want Congress to know? 685 00:35:56,600 --> 00:36:00,920 Speaker 9: Who have the ability to shut this down, reopen and 686 00:36:01,000 --> 00:36:02,719 Speaker 9: have TSA agents come back to work. 687 00:36:03,280 --> 00:36:05,760 Speaker 1: I think Chuck Schumer should be a shamed of himself. 688 00:36:06,920 --> 00:36:10,319 Speaker 2: I think Chuck Schuma should be ashamed of himself. Chuck 689 00:36:10,360 --> 00:36:13,359 Speaker 2: Schuma should be ashamed of himself every single day. 690 00:36:13,480 --> 00:36:16,200 Speaker 4: Yeah, based on that accent, I'm gonna guess that may 691 00:36:16,200 --> 00:36:19,200 Speaker 4: be one of Chuck Schumer's constituents in the state of 692 00:36:19,239 --> 00:36:19,640 Speaker 4: New York. 693 00:36:19,719 --> 00:36:23,200 Speaker 2: So a woman who could potentially vote Chuck Schuma out 694 00:36:23,200 --> 00:36:23,720 Speaker 2: of office. 695 00:36:23,880 --> 00:36:27,640 Speaker 4: Yeah, but this keep in mind historically, whenever there have 696 00:36:27,719 --> 00:36:32,320 Speaker 4: been government shutdowns, it is generally Congress that gets blamed 697 00:36:32,360 --> 00:36:34,759 Speaker 4: for it, not the president. And there's been a lot 698 00:36:34,800 --> 00:36:37,640 Speaker 4: of clips that have been circulating on social media of 699 00:36:37,960 --> 00:36:40,560 Speaker 4: man on the street, interviews in the airport, and the 700 00:36:40,640 --> 00:36:43,800 Speaker 4: vast majority of them have blamed the Democrats in Congress 701 00:36:43,800 --> 00:36:45,719 Speaker 4: for this. And that's certainly what that lady feels like. 702 00:36:45,840 --> 00:36:48,680 Speaker 4: And I'm not surprised. She's frustrated, she's stuck in line, 703 00:36:48,800 --> 00:36:51,239 Speaker 4: she's angry. And by the way, these lines are still 704 00:36:51,280 --> 00:36:55,480 Speaker 4: going on this morning. Reports out of Houston's Hobby Airport 705 00:36:55,520 --> 00:36:58,520 Speaker 4: in Houston where TSA lines this morning were three to 706 00:36:58,560 --> 00:36:59,319 Speaker 4: four hours long. 707 00:36:59,400 --> 00:37:01,200 Speaker 5: So why was that the best audio of the day. 708 00:37:01,320 --> 00:37:04,080 Speaker 2: While she was simple, direct and true, there was no 709 00:37:04,200 --> 00:37:07,799 Speaker 2: spin needed when you have an ordinary American saying Chuck 710 00:37:07,800 --> 00:37:10,920 Speaker 2: Schumer should be ashamed of himself. He has lost the 711 00:37:10,960 --> 00:37:16,520 Speaker 2: plot completely. But shame also requires a conscience, and he 712 00:37:16,560 --> 00:37:20,000 Speaker 2: has shown that he has none. Well, Americans, they're keeping 713 00:37:20,000 --> 00:37:21,719 Speaker 2: score and now they're saying it. 714 00:37:21,680 --> 00:37:24,120 Speaker 4: Out loud Well, Chuck Schumer is a politician, so he 715 00:37:24,200 --> 00:37:26,799 Speaker 4: probably does not have a conscience. And this is all 716 00:37:26,840 --> 00:37:30,080 Speaker 4: about This is all about the Democrats being able to 717 00:37:30,120 --> 00:37:32,640 Speaker 4: go back to their base and say we are not 718 00:37:32,800 --> 00:37:36,200 Speaker 4: giving Ice any more money. That's everything that now. TSA 719 00:37:36,280 --> 00:37:38,040 Speaker 4: is just caught up into it. The other parts of 720 00:37:38,040 --> 00:37:40,200 Speaker 4: the Department of Homeland Security are just caught into it. 721 00:37:40,360 --> 00:37:42,960 Speaker 4: But this is all about Ice and the Democrats being 722 00:37:42,960 --> 00:37:46,200 Speaker 4: able when they run for reelection in November saying to 723 00:37:46,239 --> 00:37:48,520 Speaker 4: their base, hey, look, we fought the good fight. We 724 00:37:49,520 --> 00:37:52,200 Speaker 4: dislike Ice, and we gave him the business, didn't we 725 00:37:52,280 --> 00:37:53,040 Speaker 4: guys vote for me. 726 00:37:54,120 --> 00:37:56,240 Speaker 1: Hey, coming up at eleven, we're gonna have a special guest. 727 00:37:56,239 --> 00:37:59,960 Speaker 2: This should be interesting from the United States Department of State. 728 00:38:00,120 --> 00:38:04,719 Speaker 2: Eight Deputy spokesperson Mignon Houston is gonna join us. We're 729 00:38:04,719 --> 00:38:09,000 Speaker 2: gonna talk about spring break and visus and other fun stuff. 730 00:38:09,040 --> 00:38:11,759 Speaker 1: You're listening to Casey and Jim. It is ninety three 731 00:38:11,800 --> 00:38:12,719 Speaker 1: w IBC.