1 00:00:00,360 --> 00:00:03,040 Speaker 1: They say they're going to change the way they're doing it. Ethan, 2 00:00:03,920 --> 00:00:06,280 Speaker 1: Actually they're going to go back to the way they. 3 00:00:06,120 --> 00:00:08,920 Speaker 2: Were doing it before, the way that they promised on 4 00:00:08,920 --> 00:00:09,760 Speaker 2: the campaign trail. 5 00:00:09,920 --> 00:00:12,240 Speaker 3: Correct, it is the Kendall and Casey show. 6 00:00:12,240 --> 00:00:14,440 Speaker 1: That is Ethan Hatcher and for Rob Kendall, who has 7 00:00:14,520 --> 00:00:18,160 Speaker 1: the day off today. So DHS has announced they're moving 8 00:00:18,160 --> 00:00:22,720 Speaker 1: away from broad raids targeting undocumented illegals and they're going 9 00:00:22,760 --> 00:00:26,760 Speaker 1: to concentrate on those who have committed serious offenses. 10 00:00:27,240 --> 00:00:28,680 Speaker 4: Well, they're all criminals. 11 00:00:28,920 --> 00:00:31,520 Speaker 2: I mean, if you have broken immigration law, you are 12 00:00:31,600 --> 00:00:34,320 Speaker 2: by definition a criminal. But I do think it's the 13 00:00:34,479 --> 00:00:38,720 Speaker 2: correct course of action for them to prioritize the most 14 00:00:38,760 --> 00:00:44,480 Speaker 2: serious offenders, your murders, your rapists, your unremittant thieves. Like, yes, absolutely, 15 00:00:44,760 --> 00:00:47,159 Speaker 2: these are the people who should be expunged from the 16 00:00:47,200 --> 00:00:48,080 Speaker 2: country first. 17 00:00:48,320 --> 00:00:50,240 Speaker 4: But anyone, as far as I'm concerned. 18 00:00:49,960 --> 00:00:53,440 Speaker 2: Who has violated the immigration laws of the United States 19 00:00:53,640 --> 00:00:57,520 Speaker 2: should be up for deportation. If you're not enforcing the law, 20 00:00:57,680 --> 00:01:01,520 Speaker 2: then you have no law, you have no stand. So yes, 21 00:01:01,760 --> 00:01:05,440 Speaker 2: eventually everybody should be on the list. But let's prioritize 22 00:01:05,720 --> 00:01:08,480 Speaker 2: the people who pose an immediate and present danger to 23 00:01:08,560 --> 00:01:10,960 Speaker 2: American citizens first and foremost. 24 00:01:11,200 --> 00:01:12,319 Speaker 4: That just makes good sense to me. 25 00:01:12,400 --> 00:01:13,840 Speaker 3: Well, that's what they said they're going to do. 26 00:01:14,080 --> 00:01:17,399 Speaker 1: They're still going to continue on with traffic stop enforcement, 27 00:01:17,600 --> 00:01:21,200 Speaker 1: but agents are less likely to detain people just. 28 00:01:21,280 --> 00:01:22,080 Speaker 3: Off the streets. 29 00:01:22,160 --> 00:01:24,800 Speaker 2: Well, it's also just a matter of how to expend 30 00:01:24,800 --> 00:01:29,720 Speaker 2: your resources because there are only so many Immigrations agents 31 00:01:29,760 --> 00:01:32,440 Speaker 2: who are in the country. There's only so much space 32 00:01:32,720 --> 00:01:33,720 Speaker 2: to detain. 33 00:01:33,480 --> 00:01:34,319 Speaker 4: All these people. 34 00:01:34,400 --> 00:01:37,240 Speaker 2: And let's face it, the Biden administration flooded the country 35 00:01:37,480 --> 00:01:40,520 Speaker 2: with millions and millions of law breakers, so we don't 36 00:01:40,560 --> 00:01:44,640 Speaker 2: have the capacity to possibly be able to detain and 37 00:01:45,080 --> 00:01:48,840 Speaker 2: deport them all. So you should prioritize the people who 38 00:01:48,920 --> 00:01:51,120 Speaker 2: are causing the most harm first. 39 00:01:51,840 --> 00:01:55,880 Speaker 1: So border patrol, they've conducted migrant rains in cities like 40 00:01:55,960 --> 00:01:59,640 Speaker 1: Los Angeles, Chicago, and Charlotte, and that has prompted lots 41 00:01:59,640 --> 00:02:03,120 Speaker 1: of pro tests in lawsuits over the tactics. Yeah, so 42 00:02:03,720 --> 00:02:05,880 Speaker 1: does this mean they're not going to do that at 43 00:02:05,920 --> 00:02:06,600 Speaker 1: all anymore? 44 00:02:08,360 --> 00:02:10,800 Speaker 4: Oh, you Casey, you and your drugs. 45 00:02:11,280 --> 00:02:14,320 Speaker 2: They're still going to be protesting against ISA, of course 46 00:02:14,360 --> 00:02:17,400 Speaker 2: they are. And also the Americans who are using their 47 00:02:17,480 --> 00:02:19,200 Speaker 2: vehicles to ram. 48 00:02:18,919 --> 00:02:20,440 Speaker 4: Law enforcement officers. 49 00:02:20,480 --> 00:02:22,800 Speaker 2: The people who are using their bodies to stand in 50 00:02:22,880 --> 00:02:28,919 Speaker 2: between the agents, and these lawbreakers should absolutely face consequences themselves. Now, 51 00:02:29,040 --> 00:02:32,160 Speaker 2: not deportation, because they're still American citizens and they should 52 00:02:32,160 --> 00:02:34,200 Speaker 2: be afforded the due process of law. 53 00:02:34,240 --> 00:02:36,120 Speaker 4: But absolutely, if you are standing. 54 00:02:35,720 --> 00:02:38,800 Speaker 2: In the way of law enforcement, then you are also 55 00:02:39,000 --> 00:02:39,840 Speaker 2: committing a crime. 56 00:02:40,320 --> 00:02:42,520 Speaker 3: Jd Vance who what show was he on? He was 57 00:02:42,560 --> 00:02:43,760 Speaker 3: on Telegraph. 58 00:02:44,440 --> 00:02:47,359 Speaker 1: Looks like he was on a show called Telegraph, Okay, 59 00:02:47,440 --> 00:02:50,520 Speaker 1: and he was talking about this, and here's what he 60 00:02:50,600 --> 00:02:51,200 Speaker 1: had to say. 61 00:02:52,000 --> 00:02:54,959 Speaker 5: You cannot have a country where the American people keep 62 00:02:55,000 --> 00:02:59,200 Speaker 5: on electing immigration enforcement and the courts tell the American 63 00:02:59,240 --> 00:03:01,840 Speaker 5: people they're not allowed to have what they've voted for. 64 00:03:02,200 --> 00:03:04,320 Speaker 5: And that's where we are right now. We're going to 65 00:03:04,400 --> 00:03:06,680 Speaker 5: keep working it through the immigration court process, through the 66 00:03:06,680 --> 00:03:09,520 Speaker 5: Supreme Court as much as possible. And look, success to 67 00:03:09,560 --> 00:03:11,679 Speaker 5: me is not so much in number, though obviously I'd 68 00:03:11,680 --> 00:03:14,760 Speaker 5: love to see the gross majority of the illegal immigrants 69 00:03:14,760 --> 00:03:18,440 Speaker 5: who came in under Biden deported. That actually is a 70 00:03:18,520 --> 00:03:23,280 Speaker 5: secondary metric of success. Success to me is that we 71 00:03:23,639 --> 00:03:27,440 Speaker 5: have established a set of rules and principles that the 72 00:03:27,480 --> 00:03:31,240 Speaker 5: courts are comfortable with, and that we have the infrastructure 73 00:03:31,400 --> 00:03:34,800 Speaker 5: to do that allows us to deport large numbers of 74 00:03:34,800 --> 00:03:37,840 Speaker 5: illegal aliens. When large numbers of illegal aliens come into 75 00:03:37,880 --> 00:03:40,119 Speaker 5: the country, that to me is real success. 76 00:03:40,840 --> 00:03:44,280 Speaker 1: You've got one side that is saying that the courts 77 00:03:44,320 --> 00:03:47,600 Speaker 1: shouldn't overrule the people, and then you have the other 78 00:03:47,720 --> 00:03:53,000 Speaker 1: side that is saying that the courts are there to 79 00:03:53,120 --> 00:03:54,200 Speaker 1: enforce the constitution. 80 00:03:54,440 --> 00:03:57,760 Speaker 2: Well, they're right, the courts are there to enforce the constitution, 81 00:03:57,880 --> 00:04:01,680 Speaker 2: but it is not unconstitutional to enforce the border. 82 00:04:01,880 --> 00:04:07,440 Speaker 1: There you go, Okay, now you have Representative Omar. She 83 00:04:07,600 --> 00:04:11,040 Speaker 1: reported that ICE agents pulled over her son over the weekend. 84 00:04:11,200 --> 00:04:13,760 Speaker 3: He was visiting Target. 85 00:04:13,880 --> 00:04:18,400 Speaker 1: And he was asked to prove his citizenship, and he 86 00:04:18,480 --> 00:04:21,920 Speaker 1: pulled out his passport, which he allegedly carries with him 87 00:04:21,960 --> 00:04:22,520 Speaker 1: all the time. 88 00:04:23,279 --> 00:04:27,200 Speaker 2: Well, I mean, I think that's probably pretty smart. I 89 00:04:27,200 --> 00:04:29,680 Speaker 2: can't believe I've never thought about how, like, how would 90 00:04:29,720 --> 00:04:32,560 Speaker 2: I go about proving my citizenship. I have a passport, 91 00:04:32,640 --> 00:04:35,560 Speaker 2: but I don't carry it with me. Yeah, she was. 92 00:04:35,520 --> 00:04:38,719 Speaker 1: On face to the nation and she was sounds like 93 00:04:38,760 --> 00:04:41,480 Speaker 1: she's playing a little bit of the victim here in 94 00:04:41,520 --> 00:04:46,599 Speaker 1: regards to that nearly billion dollar fraud scheme that's happening 95 00:04:46,880 --> 00:04:48,240 Speaker 1: in Minnesota. 96 00:04:47,760 --> 00:04:49,640 Speaker 4: A little bit, a lot of bit. Yeah, no, she said. 97 00:04:49,680 --> 00:04:53,600 Speaker 2: The victims here are not the American people who were 98 00:04:53,640 --> 00:04:55,800 Speaker 2: defrauded to the tune of the bill taxpairs, not the 99 00:04:55,800 --> 00:04:57,720 Speaker 2: taxpayers who were defrauded to the tune of a billion 100 00:04:57,880 --> 00:05:01,440 Speaker 2: or more dollars in welfare fraud. It's the Somalian community 101 00:05:01,480 --> 00:05:04,719 Speaker 2: who perpetrated the fraud that are the real victims here. 102 00:05:04,760 --> 00:05:09,320 Speaker 2: That's always ilhan Omar's take. She's always weepy. She's like 103 00:05:09,560 --> 00:05:13,360 Speaker 2: Donald Trump said, she's always bitching, always campaigned, always got 104 00:05:13,400 --> 00:05:14,520 Speaker 2: something bad to say. 105 00:05:15,000 --> 00:05:17,880 Speaker 6: All the eighty seven people charged, all but eight are 106 00:05:17,920 --> 00:05:21,640 Speaker 6: of Somali descent, and that has added to the spotlight 107 00:05:21,839 --> 00:05:27,280 Speaker 6: being put specifically on your community. Why do you think 108 00:05:27,320 --> 00:05:30,120 Speaker 6: this fraud was allowed to get so widespread? 109 00:05:32,040 --> 00:05:34,920 Speaker 7: I want to say, you know, this also has an 110 00:05:35,040 --> 00:05:42,120 Speaker 7: impact on Somali's because we are also taxpayers in Minnesota. 111 00:05:42,960 --> 00:05:44,600 Speaker 4: We also could have. 112 00:05:44,560 --> 00:05:49,320 Speaker 8: Benefited from the program and the money that was stolen, 113 00:05:49,880 --> 00:05:55,320 Speaker 8: and so it's been really frustrating for people to not 114 00:05:55,640 --> 00:05:59,360 Speaker 8: acknowledge the fact that we're you know, we're also as 115 00:05:59,640 --> 00:06:04,800 Speaker 8: minister and sis taxpayers really upset and angry about the 116 00:06:04,839 --> 00:06:05,880 Speaker 8: fraud that has occurred. 117 00:06:06,279 --> 00:06:09,760 Speaker 1: The question, in case you missed it, was what was 118 00:06:09,839 --> 00:06:12,480 Speaker 1: the fraud allowed to get so big? 119 00:06:12,720 --> 00:06:17,520 Speaker 2: Yeah, well, because you had willing participants in the state Minnesota, 120 00:06:17,640 --> 00:06:21,800 Speaker 2: facilitated by Governor Tim Walls and those in his administration, 121 00:06:21,960 --> 00:06:25,240 Speaker 2: who were willing to look the other way because of 122 00:06:25,279 --> 00:06:29,479 Speaker 2: their political affiliation, because they benefited from this fraud that 123 00:06:29,600 --> 00:06:31,960 Speaker 2: was taking place, from the donations that were made to 124 00:06:32,000 --> 00:06:34,920 Speaker 2: their campaign and talking about the Somali community, they. 125 00:06:34,839 --> 00:06:36,960 Speaker 4: Are the people who were doing the ripping off. 126 00:06:37,240 --> 00:06:42,400 Speaker 2: They had fancy cars, nice houses, luxury vacations. 127 00:06:41,600 --> 00:06:44,720 Speaker 4: So it sounds to me like il han Omar they 128 00:06:44,720 --> 00:06:45,360 Speaker 4: already did. 129 00:06:45,440 --> 00:06:47,960 Speaker 2: They were the beneficiaries to the tune of again more 130 00:06:47,960 --> 00:06:52,440 Speaker 2: than a billion dollars. And I can't remember the breakdown, 131 00:06:52,480 --> 00:06:55,719 Speaker 2: but there was some local media institution who was trying 132 00:06:55,760 --> 00:06:59,720 Speaker 2: to feel defense for the Somali community and say that they, well, 133 00:06:59,800 --> 00:07:03,360 Speaker 2: they contribute more than sixty seven million dollars or something 134 00:07:03,400 --> 00:07:05,480 Speaker 2: to that effect. I can't remember the exact number right 135 00:07:05,480 --> 00:07:07,040 Speaker 2: off the top of my head at this moment, but 136 00:07:07,160 --> 00:07:10,760 Speaker 2: I did some calculations and it would take more than 137 00:07:10,880 --> 00:07:15,000 Speaker 2: fifteen years if that number is accurate, for the community 138 00:07:15,040 --> 00:07:17,040 Speaker 2: to pay back the fraud. 139 00:07:16,720 --> 00:07:17,840 Speaker 3: That we make up that money. 140 00:07:17,920 --> 00:07:20,760 Speaker 2: So ye right, No, they are a net negative to 141 00:07:20,800 --> 00:07:23,640 Speaker 2: the community of Minnesota, and to portray it any other 142 00:07:23,640 --> 00:07:28,040 Speaker 2: way is utterly disingenuous and runs contrary to the facts 143 00:07:28,080 --> 00:07:28,560 Speaker 2: on the ground. 144 00:07:28,760 --> 00:07:30,680 Speaker 3: So you've got a former Minnesota Rep. 145 00:07:30,760 --> 00:07:34,080 Speaker 1: Jason Lewis, he was sounding the alarm for years, and 146 00:07:34,280 --> 00:07:37,120 Speaker 1: it seems that nobody was listening because he was talking 147 00:07:37,160 --> 00:07:39,440 Speaker 1: about this back in twenty fourteen. 148 00:07:40,080 --> 00:07:42,960 Speaker 9: Situation in my home state of Minnesota, where we've got 149 00:07:43,000 --> 00:07:47,320 Speaker 9: a number of daycare providers that are openly violating federal 150 00:07:47,360 --> 00:07:51,240 Speaker 9: and state laws and regulations, taking money for personal use, 151 00:07:51,720 --> 00:07:54,560 Speaker 9: using the money to set up a fraudulent childcare client, 152 00:07:54,600 --> 00:07:57,000 Speaker 9: and then providing a kickback, has been reported. 153 00:07:57,440 --> 00:07:58,760 Speaker 4: This is a major issue. 154 00:07:58,800 --> 00:08:02,160 Speaker 9: There are allegations that well, not just several, You've got 155 00:08:02,160 --> 00:08:06,920 Speaker 9: twenty three childcare daycare centers either closed or under investigation. 156 00:08:07,040 --> 00:08:09,920 Speaker 9: The fraud may go as high as one hundred million dollars. 157 00:08:10,280 --> 00:08:11,840 Speaker 4: I think about that. In physically year. 158 00:08:11,760 --> 00:08:14,320 Speaker 9: Twenty eighteen, Minnesota received one hundred and twenty million in 159 00:08:14,360 --> 00:08:18,560 Speaker 9: federal funding, the state contributed about fifty million and matching 160 00:08:18,600 --> 00:08:21,080 Speaker 9: and maintenance funds, and we may have a fraud case 161 00:08:21,120 --> 00:08:24,080 Speaker 9: of nearly one hundred million in this state, with money 162 00:08:24,120 --> 00:08:27,880 Speaker 9: then being transferred out of the country via MSP airport. 163 00:08:27,960 --> 00:08:30,400 Speaker 9: This is a big issue in my home state of Minnesota. 164 00:08:30,480 --> 00:08:32,640 Speaker 9: Can you share with me what your agency is doing 165 00:08:32,679 --> 00:08:33,440 Speaker 9: to investigate this? 166 00:08:33,920 --> 00:08:34,959 Speaker 4: They said that, And I'm just. 167 00:08:34,920 --> 00:08:38,080 Speaker 1: Wondering if we set up these fake childcare clients, collected 168 00:08:38,080 --> 00:08:40,800 Speaker 1: welfare funds and then kicked back the cash and then 169 00:08:40,880 --> 00:08:43,199 Speaker 1: moved it overseas like it was nothing. 170 00:08:43,040 --> 00:08:47,240 Speaker 2: And that's it's amazing that he said that with great specificity. 171 00:08:47,280 --> 00:08:49,439 Speaker 2: Back in what'd you say it was twenty fourteen that 172 00:08:49,440 --> 00:08:52,480 Speaker 2: that was taking place. Okay, you have TSA agents that 173 00:08:52,520 --> 00:08:56,839 Speaker 2: are now testifying they would see Somali immigrants carrying suitcases 174 00:08:56,880 --> 00:08:59,760 Speaker 2: full of cash out of the airport and to their 175 00:09:00,080 --> 00:09:02,920 Speaker 2: tree of origin. It turns out Minnesota is one of 176 00:09:02,960 --> 00:09:06,640 Speaker 2: the largest funders in United States taxpayers more broadly, of 177 00:09:06,679 --> 00:09:09,719 Speaker 2: the Auschabob terrorist organization overseas. 178 00:09:09,800 --> 00:09:11,520 Speaker 4: That is unacceptable. 179 00:09:12,240 --> 00:09:13,920 Speaker 1: Another thing that I wanted to point out to you 180 00:09:13,960 --> 00:09:16,760 Speaker 1: really quick before we go to break was the Transportation 181 00:09:17,000 --> 00:09:21,280 Speaker 1: Secretary Sean Duffy. He seemed to make a point that 182 00:09:21,320 --> 00:09:26,400 Speaker 1: they're going to start cracking down on the CDLs. They should, Yeah, absolutely, 183 00:09:26,440 --> 00:09:28,440 Speaker 1: they should, he said, they've been giving them out like 184 00:09:28,559 --> 00:09:30,720 Speaker 1: Candy so many accidents. 185 00:09:30,840 --> 00:09:34,400 Speaker 10: We'll just scroll them and while we're scrolling, I will 186 00:09:34,440 --> 00:09:35,199 Speaker 10: bring in focus. 187 00:09:35,240 --> 00:09:35,480 Speaker 4: Now. 188 00:09:35,520 --> 00:09:39,400 Speaker 10: Transportation Secretary Sean Duffy, I mean, this is a lot. 189 00:09:39,480 --> 00:09:43,240 Speaker 11: How do you stop it? You know, Harris, you're scrolling 190 00:09:43,280 --> 00:09:48,119 Speaker 11: these these these names and numbers, and these are Americans 191 00:09:48,160 --> 00:09:51,920 Speaker 11: who needed needed this die on American roadways because our 192 00:09:51,960 --> 00:09:54,280 Speaker 11: states aren't doing the right work to make sure we 193 00:09:54,320 --> 00:09:58,200 Speaker 11: have well qualified, certified, safe drivers on American roads. We 194 00:09:58,280 --> 00:10:02,319 Speaker 11: have states that are giving out commercial driver's license like Candy, 195 00:10:02,600 --> 00:10:04,839 Speaker 11: and I think if you ask every single American what 196 00:10:04,880 --> 00:10:07,600 Speaker 11: do you expect from a commercial driver, they would say 197 00:10:07,720 --> 00:10:10,640 Speaker 11: they're well trained, they are professionals, and they're going to 198 00:10:10,840 --> 00:10:14,280 Speaker 11: keep their rigs and every car around them safe. And 199 00:10:14,360 --> 00:10:16,800 Speaker 11: what we found is that's actually not the case. We 200 00:10:16,880 --> 00:10:20,200 Speaker 11: have states that haven't driven safety. They have allowed people 201 00:10:20,240 --> 00:10:22,800 Speaker 11: who should never have a commercial driver's license. They are 202 00:10:22,840 --> 00:10:25,920 Speaker 11: not well trained, they are not well certified, and they're 203 00:10:25,920 --> 00:10:28,920 Speaker 11: not even from the country getting the license and operating again, 204 00:10:29,160 --> 00:10:32,240 Speaker 11: an eighty thousand pounds big rig on an American road 205 00:10:32,280 --> 00:10:34,440 Speaker 11: and so we are not going to have it at dot. 206 00:10:34,760 --> 00:10:37,720 Speaker 11: These are long standing rules. These are not new Trump rules. 207 00:10:37,920 --> 00:10:41,720 Speaker 11: These are long standing rules that the last administration refused 208 00:10:41,720 --> 00:10:42,240 Speaker 11: to enforce. 209 00:10:42,720 --> 00:10:43,920 Speaker 4: We are going to enforce them. 210 00:10:43,960 --> 00:10:46,600 Speaker 11: We are going to hold states accountable, and if they 211 00:10:46,600 --> 00:10:48,840 Speaker 11: don't comply with the law, we are going to pull 212 00:10:48,920 --> 00:10:51,679 Speaker 11: federal funding. We shouldn't have to go that far. Every 213 00:10:51,720 --> 00:10:54,360 Speaker 11: governor should say, you know what, I want to have 214 00:10:54,400 --> 00:10:58,000 Speaker 11: a safe road, I want safe drivers, and there should 215 00:10:58,040 --> 00:10:59,760 Speaker 11: be a no brainer for them. They should want to 216 00:10:59,760 --> 00:11:02,920 Speaker 11: work with us. But it seems like the liberals, Harris 217 00:11:02,960 --> 00:11:08,480 Speaker 11: and liberal states would prefer to side on the illegal 218 00:11:08,640 --> 00:11:11,640 Speaker 11: migrant side, non English speaking side, as opposed to the 219 00:11:11,640 --> 00:11:13,560 Speaker 11: American citizens' safety side. 220 00:11:14,000 --> 00:11:16,360 Speaker 3: Do you ever get nervous when you're driving down the highway? 221 00:11:16,480 --> 00:11:19,160 Speaker 4: Give your days about that? I do, Jim absolutely. 222 00:11:19,160 --> 00:11:23,800 Speaker 2: What's really gross here is that the Democrats are turning 223 00:11:23,960 --> 00:11:28,600 Speaker 2: the American people into second class citizens in their own country. 224 00:11:28,640 --> 00:11:32,480 Speaker 2: Not only are they endangering their safety by giving unqualified 225 00:11:32,520 --> 00:11:36,199 Speaker 2: people unfettered access to these CDLs and putting them behind 226 00:11:36,240 --> 00:11:39,760 Speaker 2: the wheel of these eighty ton death traps, but they 227 00:11:39,760 --> 00:11:44,120 Speaker 2: are also disenfranchising American workers by flooding the market with 228 00:11:44,240 --> 00:11:48,079 Speaker 2: these illegal laborers that are then undercutting people's wages. 229 00:11:48,160 --> 00:11:50,080 Speaker 4: So whether it comes to double whamming. 230 00:11:50,240 --> 00:11:52,959 Speaker 2: Yes, whether it comes to your ability to earn an 231 00:11:52,960 --> 00:11:56,120 Speaker 2: income and secure a good paying job, or whether it 232 00:11:56,120 --> 00:11:59,760 Speaker 2: comes to your safety on the roadways. The Democrats and 233 00:11:59,840 --> 00:12:02,960 Speaker 2: the the Democrat elected officials, I should add, are turning 234 00:12:03,000 --> 00:12:06,199 Speaker 2: American citizens into second class people in their own country. 235 00:12:06,200 --> 00:12:07,240 Speaker 4: That is gross. 236 00:12:07,280 --> 00:12:11,000 Speaker 1: But are we holding the trucking companies liable or responsible 237 00:12:11,080 --> 00:12:11,680 Speaker 1: for any of this? 238 00:12:11,960 --> 00:12:14,800 Speaker 2: Well, they absolutely should be held accountable too. If you 239 00:12:14,840 --> 00:12:18,200 Speaker 2: are hiring illegal workers, then you need to be facing 240 00:12:18,240 --> 00:12:19,440 Speaker 2: some kind of punishment for that. 241 00:12:19,800 --> 00:12:23,000 Speaker 3: It is the Kennelly Casey Show. It's ninety three WIBC. 242 00:12:34,080 --> 00:12:36,080 Speaker 3: I got an event for you to go to Ethan, 243 00:12:36,520 --> 00:12:38,480 Speaker 3: which you got. I'm sure you're really excited. 244 00:12:40,000 --> 00:12:44,000 Speaker 1: Kamala Harris's book tour is coming to Indianapolis. 245 00:12:44,040 --> 00:12:46,360 Speaker 4: Who does she think is going to buy tickets to that? 246 00:12:46,480 --> 00:12:49,280 Speaker 4: Who would want to see that? Fit? These people, they 247 00:12:49,360 --> 00:12:51,240 Speaker 4: never know how to let go. 248 00:12:51,600 --> 00:12:56,560 Speaker 1: No, they don't just fade off into the distance, go away. 249 00:12:56,760 --> 00:12:59,800 Speaker 4: We told you to go away. Nationally, you were told 250 00:12:59,800 --> 00:13:00,800 Speaker 4: to go away. 251 00:13:01,840 --> 00:13:05,360 Speaker 3: The country said no, thank you, Yes, and. 252 00:13:04,920 --> 00:13:07,360 Speaker 4: She says, I'll give you more, whether or not? 253 00:13:07,559 --> 00:13:09,840 Speaker 3: Sure, how about we try it again? 254 00:13:10,480 --> 00:13:12,080 Speaker 1: So she's going to be at the Marat Theater on 255 00:13:12,160 --> 00:13:15,440 Speaker 1: February twenty six, of twenty six. 256 00:13:15,679 --> 00:13:19,880 Speaker 3: It's part of an eighteen new tour city dates. First 257 00:13:19,920 --> 00:13:22,320 Speaker 3: seventeen dates were sold out, so they added more. 258 00:13:22,440 --> 00:13:25,360 Speaker 2: Do you think they'll allow you to bring tomatoes into 259 00:13:25,360 --> 00:13:26,160 Speaker 2: the mirror there? 260 00:13:26,520 --> 00:13:28,600 Speaker 3: I don't think so, I don't know. I don't know. 261 00:13:29,559 --> 00:13:31,119 Speaker 3: Meet and greet tickets are available. 262 00:13:31,440 --> 00:13:33,480 Speaker 1: You can get your photo with her as well and 263 00:13:33,640 --> 00:13:35,000 Speaker 1: assigned copy of the book. 264 00:13:35,360 --> 00:13:37,840 Speaker 4: Do you have to pay she actually expects me you 265 00:13:37,840 --> 00:13:40,199 Speaker 4: have to pay extra for sure? God? 266 00:13:40,559 --> 00:13:43,800 Speaker 3: Yeah. So Axios put out a. 267 00:13:43,800 --> 00:13:47,960 Speaker 1: Report saying that she's eyeing a twenty eight presidential run. 268 00:13:48,600 --> 00:13:50,920 Speaker 1: She's taking steps that many see as part of the 269 00:13:51,000 --> 00:13:52,679 Speaker 1: twenty eight White House bid. 270 00:13:53,559 --> 00:13:58,800 Speaker 2: I've seen people suggest that her and Michelle Obama would 271 00:13:58,840 --> 00:14:02,480 Speaker 2: be the dream team. So a Harris Obama administration or 272 00:14:02,520 --> 00:14:04,040 Speaker 2: an Obama Harris administration. 273 00:14:04,080 --> 00:14:04,719 Speaker 4: How do you like that? 274 00:14:05,080 --> 00:14:07,920 Speaker 3: Oh? I do not? Thanks? 275 00:14:08,080 --> 00:14:10,000 Speaker 4: Yeah, you know what, I think many people in Indiana 276 00:14:10,040 --> 00:14:10,640 Speaker 4: would either. 277 00:14:10,840 --> 00:14:14,200 Speaker 1: Hey, Kevin, can you grab clip number twenty three because 278 00:14:14,320 --> 00:14:18,400 Speaker 1: he brought it. You brought up Michelle Obama and she's 279 00:14:18,440 --> 00:14:20,560 Speaker 1: still complaining about her time in the White House. 280 00:14:20,640 --> 00:14:22,560 Speaker 2: You're making life hard for poor keV. We told him 281 00:14:22,560 --> 00:14:23,800 Speaker 2: there were no clips this segment. 282 00:14:23,920 --> 00:14:26,840 Speaker 1: I know, but you said, Michelle Obama, Okay, okay. Here 283 00:14:26,960 --> 00:14:29,680 Speaker 1: she is talking about how difficult it is living in 284 00:14:29,720 --> 00:14:30,400 Speaker 1: the White House. 285 00:14:31,280 --> 00:14:34,760 Speaker 12: Many people don't know. I mean much is not covered. 286 00:14:35,480 --> 00:14:38,000 Speaker 12: You're paying for every food and every bit of food 287 00:14:38,040 --> 00:14:40,480 Speaker 12: that you eat. You you know, you're not paying for 288 00:14:40,560 --> 00:14:43,840 Speaker 12: housing and the staff in it, but everything, even travel 289 00:14:43,960 --> 00:14:46,240 Speaker 12: if you're not traveling with the president. If your kids 290 00:14:46,240 --> 00:14:48,880 Speaker 12: are coming on a bright Star, which is the first 291 00:14:48,960 --> 00:14:51,840 Speaker 12: Lady's plane, we had to play pay for their travel. 292 00:14:52,760 --> 00:14:56,160 Speaker 2: Michelle, Hello, is this thing on? Everybody has to pay 293 00:14:56,200 --> 00:14:58,520 Speaker 2: for their own travel. If we want to travel as 294 00:14:58,560 --> 00:15:00,120 Speaker 2: American citizens. 295 00:15:00,000 --> 00:15:01,040 Speaker 4: You have to pay for it. 296 00:15:01,160 --> 00:15:05,000 Speaker 2: Never mind, then you were entrusted with the most powerful 297 00:15:05,000 --> 00:15:09,000 Speaker 2: position in the free world. There are lots of perks 298 00:15:09,040 --> 00:15:12,000 Speaker 2: that are associated with that. And she's complaining about having 299 00:15:12,040 --> 00:15:15,760 Speaker 2: to pay for non state travel. This is I have 300 00:15:16,000 --> 00:15:20,680 Speaker 2: never seen somebody try to play the victim after being 301 00:15:20,880 --> 00:15:24,240 Speaker 2: entrusted with the most powerful position in the land as 302 00:15:24,320 --> 00:15:27,240 Speaker 2: much as Michelle Obama. She was talking about what a 303 00:15:27,320 --> 00:15:30,840 Speaker 2: burden it was a burden to have her own makeup 304 00:15:30,880 --> 00:15:34,240 Speaker 2: team to do her makeup and buy her dresses. 305 00:15:33,920 --> 00:15:37,280 Speaker 4: And you know, that that was very hard. If that's 306 00:15:37,360 --> 00:15:38,960 Speaker 4: not many people's dream. 307 00:15:39,520 --> 00:15:41,480 Speaker 3: Ethan, do you have to pay for your own food? 308 00:15:42,040 --> 00:15:43,200 Speaker 4: Why do you eat? 309 00:15:43,360 --> 00:15:44,480 Speaker 3: Do you have to pay for it? 310 00:15:44,880 --> 00:15:46,400 Speaker 4: I do have to pay for my own food. 311 00:15:46,440 --> 00:15:48,240 Speaker 2: I also have to pay for my own gas when 312 00:15:48,240 --> 00:15:50,000 Speaker 2: I come into the studio. I have to pay for 313 00:15:50,040 --> 00:15:51,920 Speaker 2: my own travel if I want to take a vacation 314 00:15:52,160 --> 00:15:53,520 Speaker 2: or buy an airplane ticket. 315 00:15:53,800 --> 00:15:56,400 Speaker 4: So you know, crime a river Michelle. 316 00:15:57,120 --> 00:15:58,880 Speaker 3: Yeah, Well she's complaining. 317 00:15:58,480 --> 00:16:00,960 Speaker 2: As brush Limbaugh said, than I think it's an at 318 00:16:01,040 --> 00:16:03,560 Speaker 2: nickname muchel jell Obama. 319 00:16:03,680 --> 00:16:05,680 Speaker 1: Well, she was complaining right there that she had actually 320 00:16:05,760 --> 00:16:07,680 Speaker 1: pay for the food that she eats. What does she 321 00:16:08,160 --> 00:16:12,200 Speaker 1: expect everything just laid a her feet for free. But 322 00:16:12,320 --> 00:16:15,320 Speaker 1: when it comes to Kamala Harris, she said that both 323 00:16:15,360 --> 00:16:18,720 Speaker 1: parties have failed to hold the public's trust, and she 324 00:16:18,840 --> 00:16:22,960 Speaker 1: has called President Trump a symptom of a bigger problem. 325 00:16:23,440 --> 00:16:26,680 Speaker 1: So she's making all the rounds, she's doing all the speeches, 326 00:16:27,080 --> 00:16:30,960 Speaker 1: and she's supposed to be on Jimmy Kimmel's show next week, 327 00:16:31,560 --> 00:16:34,720 Speaker 1: so continuing to stay in the public eye. 328 00:16:35,400 --> 00:16:39,640 Speaker 4: Jimmy Kimmel, Wow, I mean, you know, okay. 329 00:16:39,360 --> 00:16:42,000 Speaker 1: You would expect that from him, right, I absolutely would 330 00:16:42,040 --> 00:16:42,840 Speaker 1: expect that from him. 331 00:16:43,400 --> 00:16:47,720 Speaker 2: It's anti entertainment. Jimmy Kimmel show, how. 332 00:16:47,560 --> 00:16:49,600 Speaker 3: Often how long are you sleeping at night? 333 00:16:50,320 --> 00:16:52,680 Speaker 2: I always try to make sure to get my eight 334 00:16:52,720 --> 00:16:55,280 Speaker 2: hours asleep. If I get less than six hours, I 335 00:16:55,320 --> 00:16:59,440 Speaker 2: am totally worthless. Everything is cranky, Everything is a fog. 336 00:16:59,600 --> 00:17:02,680 Speaker 2: I get in casey. I'm becoming an old man more 337 00:17:02,720 --> 00:17:03,200 Speaker 2: every day. 338 00:17:03,400 --> 00:17:05,840 Speaker 1: There's a new study that came out that said sleeping 339 00:17:05,880 --> 00:17:09,879 Speaker 1: fewer than seven hours per night is associated with lower 340 00:17:09,920 --> 00:17:15,560 Speaker 1: life expectancy, and it is one of the second strongest 341 00:17:15,600 --> 00:17:19,640 Speaker 1: predictors of a reduced life expectancy after smoking. 342 00:17:20,440 --> 00:17:22,399 Speaker 2: You don't have to convince me that. I mean, it 343 00:17:22,480 --> 00:17:25,720 Speaker 2: makes total sense. I think that the importance of sleep 344 00:17:25,880 --> 00:17:29,600 Speaker 2: is one of the most underrated elements in the American lifestyle. 345 00:17:29,680 --> 00:17:32,480 Speaker 2: And look, I understand that there are so few hours 346 00:17:32,520 --> 00:17:34,560 Speaker 2: in the day. You got to try and squeeze everything 347 00:17:34,640 --> 00:17:39,760 Speaker 2: in between. Your chores, your meal prep, your working job, 348 00:17:39,880 --> 00:17:43,080 Speaker 2: you're parking, travel time, you know, everything in between. 349 00:17:43,480 --> 00:17:45,080 Speaker 4: If you have kids, you got to take. 350 00:17:44,960 --> 00:17:47,359 Speaker 2: Them to school, back from school, take them to the 351 00:17:47,400 --> 00:17:48,800 Speaker 2: soccer games, et cetera. 352 00:17:49,440 --> 00:17:51,440 Speaker 4: It's a lot to fit in, but you need to 353 00:17:51,480 --> 00:17:52,119 Speaker 4: get your rest. 354 00:17:52,440 --> 00:17:53,919 Speaker 3: Well. There is a reason why. 355 00:17:54,720 --> 00:17:58,240 Speaker 1: You know, some people when they're held in detention areas 356 00:17:58,480 --> 00:18:00,479 Speaker 1: are not allowed to sleep. 357 00:18:00,880 --> 00:18:03,520 Speaker 2: You're talking about like Guantanamo where they put in the 358 00:18:03,600 --> 00:18:05,280 Speaker 2: Barney theme on a loop. 359 00:18:05,520 --> 00:18:08,919 Speaker 1: Well, the Barney theme or some rock and roll because 360 00:18:08,960 --> 00:18:12,600 Speaker 1: it is detrimental to your body. They're now saying, some 361 00:18:12,640 --> 00:18:16,280 Speaker 1: of these PhD type peoples in this study say that 362 00:18:16,320 --> 00:18:19,320 Speaker 1: you should strive to get seven to nine hours of 363 00:18:19,400 --> 00:18:23,480 Speaker 1: sleep if at all possible. Yeah, yeah, I'm falling way 364 00:18:23,520 --> 00:18:27,080 Speaker 1: short of that. There's always naptime though, Yes, I like to. 365 00:18:27,080 --> 00:18:30,120 Speaker 2: Squeeze in and after noon nap when I can. It's 366 00:18:30,160 --> 00:18:32,399 Speaker 2: not always possible, but you know, three o'clock in the 367 00:18:32,440 --> 00:18:35,320 Speaker 2: afternoon hits and it feels like naptime When I was 368 00:18:35,320 --> 00:18:36,200 Speaker 2: a kid, notot off. 369 00:18:36,320 --> 00:18:38,680 Speaker 4: When I was a kid, I hated nap time. 370 00:18:38,760 --> 00:18:42,920 Speaker 2: But now, as a rapidly approaching middle aged man, nap 371 00:18:42,960 --> 00:18:45,040 Speaker 2: times is a little bit more attractive than he is. 372 00:18:45,119 --> 00:18:47,520 Speaker 1: That the way it works, right, If I can only 373 00:18:47,600 --> 00:18:50,920 Speaker 1: take a nap. Yeah, it is the Kendilly Casey Show. 374 00:18:50,920 --> 00:18:52,600 Speaker 1: It's ninety three WYBC. 375 00:18:55,480 --> 00:18:58,200 Speaker 4: Some people call me the space Come. 376 00:18:57,920 --> 00:19:04,920 Speaker 3: On, how often are you using AI? To be honest, not. 377 00:19:05,040 --> 00:19:08,520 Speaker 2: Every day, but I do use it occasionally. I am 378 00:19:08,560 --> 00:19:11,600 Speaker 2: a fan of Groc when whenever I need to ask 379 00:19:11,640 --> 00:19:14,640 Speaker 2: a question, I'll pose it into Groc. Sometimes I've used 380 00:19:14,640 --> 00:19:21,040 Speaker 2: it for opinions on pest treatment and the properties you know, 381 00:19:21,080 --> 00:19:21,959 Speaker 2: get me in some insights. 382 00:19:22,000 --> 00:19:23,960 Speaker 3: So you're doing some research with it, Yeah. 383 00:19:23,760 --> 00:19:27,920 Speaker 2: Some research stuff like that, nothing ever too deep. Actually, 384 00:19:28,400 --> 00:19:32,040 Speaker 2: I used AI to help me craft the two minutes 385 00:19:32,359 --> 00:19:34,960 Speaker 2: speech that I delivered to the State House. I just 386 00:19:35,000 --> 00:19:39,119 Speaker 2: wanted on redistricting. On redistricting, I wanted a basic outline, 387 00:19:39,320 --> 00:19:41,560 Speaker 2: and it gave me, you know, an approximation of what 388 00:19:41,640 --> 00:19:44,440 Speaker 2: a two minute speech would look like. And then I 389 00:19:44,560 --> 00:19:48,040 Speaker 2: edited everything from there and rearranged the points and put 390 00:19:48,080 --> 00:19:51,120 Speaker 2: it in my own voice and added some thoughts, and 391 00:19:51,240 --> 00:19:54,440 Speaker 2: you know, you used it as a framework basically. 392 00:19:54,600 --> 00:19:57,000 Speaker 1: Did you see what the governor By the way, we'll 393 00:19:57,000 --> 00:19:59,080 Speaker 1: get back to AI in just a minute, But did 394 00:19:59,119 --> 00:20:02,919 Speaker 1: you see what Governor Braun said about the vote on 395 00:20:03,000 --> 00:20:06,840 Speaker 1: redistricting that he was disappointed that a small group of 396 00:20:07,040 --> 00:20:11,840 Speaker 1: disguided state senators partnered with Democrats to reject the opportunity. 397 00:20:12,000 --> 00:20:14,600 Speaker 4: Well, it wasn't a small group. A small group. 398 00:20:14,760 --> 00:20:17,679 Speaker 2: There's forty Republicans and thirty one in the Senate and 399 00:20:17,800 --> 00:20:23,320 Speaker 2: thirty one of them total voted against a majority. 400 00:20:23,480 --> 00:20:26,520 Speaker 3: Yeah, so it's not a small group at all, by 401 00:20:26,560 --> 00:20:27,240 Speaker 3: the way, it's. 402 00:20:27,200 --> 00:20:30,920 Speaker 2: It's when is the governor not being completely disingenuous? Everything 403 00:20:31,000 --> 00:20:33,359 Speaker 2: he says is ridiculous. And I think I mentioned this 404 00:20:33,440 --> 00:20:35,879 Speaker 2: earlier in the show, but I have never seen a 405 00:20:35,960 --> 00:20:40,560 Speaker 2: governor self sabotage as quickly as Governor Braun has managed 406 00:20:40,560 --> 00:20:42,919 Speaker 2: to do. He has figured out a way to piss 407 00:20:43,000 --> 00:20:46,879 Speaker 2: off everybody. Nobody is happy with him, whether it's the president, 408 00:20:47,040 --> 00:20:52,600 Speaker 2: whether it's local Republicans, whether it's Democrats, anybody, everybody. Everybody 409 00:20:52,680 --> 00:20:54,240 Speaker 2: is pissed off with Governor Braun. 410 00:20:54,320 --> 00:20:55,520 Speaker 4: Seems such a disappointment. 411 00:20:55,520 --> 00:20:57,240 Speaker 1: So isn't that what happens when you try and go 412 00:20:57,280 --> 00:20:59,400 Speaker 1: down the middle or thread that needle just a little 413 00:20:59,400 --> 00:21:02,480 Speaker 1: too much? Yeah, like you're instead of making at least 414 00:21:02,520 --> 00:21:04,760 Speaker 1: one group happy, you make no one happy. 415 00:21:04,960 --> 00:21:08,080 Speaker 2: Well, I think it's indicative of the total lack of 416 00:21:08,200 --> 00:21:11,320 Speaker 2: political acumen that Governor Brawn possesses. 417 00:21:11,480 --> 00:21:15,880 Speaker 4: He just he he can't find a win casey. 418 00:21:15,760 --> 00:21:17,920 Speaker 2: And what else do you expect from somebody who essentially 419 00:21:18,080 --> 00:21:20,560 Speaker 2: bought his way into the governor's office. 420 00:21:20,840 --> 00:21:22,840 Speaker 1: You know who is really happy about the way things 421 00:21:22,840 --> 00:21:27,400 Speaker 1: turned out with redistricting. Andre Carson. Oh yeah, well, yes, 422 00:21:28,160 --> 00:21:30,720 Speaker 1: number six Kevin. Here's what he had to say about it. 423 00:21:31,400 --> 00:21:34,160 Speaker 13: I'm very proud of my state. I'm very proud of 424 00:21:35,240 --> 00:21:37,840 Speaker 13: the Democratic legislators who took a stand. I'm proud of 425 00:21:37,880 --> 00:21:41,160 Speaker 13: the Republican legislators who took a stand in Republican leadership. 426 00:21:41,400 --> 00:21:44,399 Speaker 13: And I'm proud of the activists and advocates and folks 427 00:21:44,440 --> 00:21:48,080 Speaker 13: on the ground and the coalition that was built to 428 00:21:48,080 --> 00:21:50,960 Speaker 13: push back on this. A majority of Hoosiers didn't even 429 00:21:51,000 --> 00:21:55,520 Speaker 13: agree with this unfair map. Most Hoosiers at the State 430 00:21:55,560 --> 00:21:58,679 Speaker 13: House knew it. We've been saying all along, Hoosiers do 431 00:21:58,800 --> 00:22:02,000 Speaker 13: things very differently. We don't like being told what to do, 432 00:22:02,400 --> 00:22:07,200 Speaker 13: particularly from folks outside. We have a very independent libertarian streak. 433 00:22:07,760 --> 00:22:10,280 Speaker 13: Donald Trump thought that he could come into the Hoosier 434 00:22:10,359 --> 00:22:14,080 Speaker 13: cafeteria and take lunch money, and he and his crew 435 00:22:14,160 --> 00:22:15,800 Speaker 13: left with the black eye. 436 00:22:16,280 --> 00:22:18,520 Speaker 1: So you have the governor saying that he's going to 437 00:22:18,520 --> 00:22:20,760 Speaker 1: be working with the President to challenge people who do 438 00:22:20,800 --> 00:22:25,200 Speaker 1: not represent the best interest of Hoosiers, and in that context. 439 00:22:24,760 --> 00:22:26,960 Speaker 3: He was talking about his fellow Republicans. 440 00:22:27,640 --> 00:22:31,400 Speaker 1: Why has he not directed that towards people like Andre Carson. 441 00:22:31,520 --> 00:22:33,560 Speaker 3: That is, they were trying to unsea That is a. 442 00:22:33,560 --> 00:22:34,840 Speaker 4: Damn good question casey. 443 00:22:34,840 --> 00:22:38,520 Speaker 2: And that is my eternal frustration with the party apparatus 444 00:22:38,520 --> 00:22:41,160 Speaker 2: here in the state of Indiana, because they have totally 445 00:22:41,200 --> 00:22:44,919 Speaker 2: abandoned Marion County. The reason why Marion County has been 446 00:22:45,000 --> 00:22:48,720 Speaker 2: left to the Democrats is because Republicans have abandoned any ever. 447 00:22:48,800 --> 00:22:52,320 Speaker 2: I mean, when you were elect or nominating schmocks like 448 00:22:52,440 --> 00:22:55,440 Speaker 2: John Schmidtz to run for Congress, of course you are 449 00:22:55,600 --> 00:22:58,719 Speaker 2: destined to lose. Of course you are going to alienate 450 00:22:58,760 --> 00:23:03,040 Speaker 2: anybody who's reasonable, reasonable voter in the city of Indianapolis. 451 00:23:03,080 --> 00:23:07,080 Speaker 2: And look, that's the fault of the party apparatus throughout 452 00:23:07,119 --> 00:23:10,800 Speaker 2: the state, for not directing more fundraising resources, for not 453 00:23:10,960 --> 00:23:15,639 Speaker 2: presenting a viable candidate in the county. They have left 454 00:23:15,920 --> 00:23:19,880 Speaker 2: Marion County to fester, to rot under the Democrat oversight. 455 00:23:20,200 --> 00:23:23,119 Speaker 2: And the way to win elections in this county is 456 00:23:23,119 --> 00:23:26,199 Speaker 2: not by rigging the system but actually putting forth the effort, 457 00:23:26,240 --> 00:23:28,520 Speaker 2: putting forth the money on the ground. But they don't 458 00:23:28,520 --> 00:23:30,680 Speaker 2: want to waste it. They just want cushy seats, they 459 00:23:30,680 --> 00:23:31,600 Speaker 2: want safe seats. 460 00:23:31,720 --> 00:23:35,800 Speaker 1: I saw a new nickname surfaced out of the redistricting 461 00:23:37,119 --> 00:23:37,960 Speaker 1: for the governor. 462 00:23:38,160 --> 00:23:40,639 Speaker 4: Was it from Rob Did he come up voute? Oh okay, 463 00:23:40,680 --> 00:23:41,040 Speaker 4: tell me. 464 00:23:41,119 --> 00:23:43,200 Speaker 1: But I'm sure as soon as he hears it he'll 465 00:23:43,240 --> 00:23:44,159 Speaker 1: pick up on it. 466 00:23:44,200 --> 00:23:45,960 Speaker 3: Instead of Mike Braun, it was Milk. 467 00:23:47,880 --> 00:23:50,359 Speaker 4: That's a good one. I liked bron voyage. 468 00:23:50,520 --> 00:23:53,679 Speaker 3: Yeah, bron voyage another one. Okay, So back to the 469 00:23:53,720 --> 00:23:59,280 Speaker 3: AI conversation. Don't you don't mind using the AI? However, 470 00:23:59,400 --> 00:24:01,200 Speaker 3: you're again data centers? 471 00:24:01,359 --> 00:24:02,600 Speaker 4: Well can you have it both ways? 472 00:24:02,680 --> 00:24:03,040 Speaker 3: Dude? 473 00:24:03,080 --> 00:24:04,680 Speaker 4: Well, look, you quin begets the other. 474 00:24:04,840 --> 00:24:08,000 Speaker 2: You can find a place to put data centers, But 475 00:24:08,080 --> 00:24:10,199 Speaker 2: I don't think the place to put them is in 476 00:24:10,840 --> 00:24:15,480 Speaker 2: perfectly viable farmland and rural communities because you're completely remaking 477 00:24:15,480 --> 00:24:16,280 Speaker 2: those communities. 478 00:24:16,359 --> 00:24:18,040 Speaker 4: Why can't we put them in Lake County? 479 00:24:18,080 --> 00:24:21,600 Speaker 2: Have you seen the concrete jungle that has eclipsed the 480 00:24:21,680 --> 00:24:23,439 Speaker 2: surrounding suburbs. 481 00:24:22,960 --> 00:24:24,560 Speaker 4: Of Chicago area? 482 00:24:24,840 --> 00:24:25,840 Speaker 3: Very familiar with it? 483 00:24:26,000 --> 00:24:29,960 Speaker 2: Well, yeah, okay, so there would be plenty of viable locations. 484 00:24:30,000 --> 00:24:31,440 Speaker 4: Go look at Gary, Indiana. 485 00:24:31,480 --> 00:24:34,159 Speaker 2: Why can't we demolish some vacant properties and set it 486 00:24:34,240 --> 00:24:38,000 Speaker 2: up in the old steel town of Gary, Indiana. No, Instead, 487 00:24:38,000 --> 00:24:41,080 Speaker 2: they want to put it in these small communities. They 488 00:24:41,119 --> 00:24:44,320 Speaker 2: want to demolish farmland and make it completely unusable. 489 00:24:44,359 --> 00:24:45,560 Speaker 4: And that's what I'm opposed to. 490 00:24:45,680 --> 00:24:48,639 Speaker 2: I think data centers have a place, but I also 491 00:24:48,680 --> 00:24:51,480 Speaker 2: don't think that we should be footing the bill for 492 00:24:51,560 --> 00:24:55,159 Speaker 2: them in the form of these large tax abatements, in 493 00:24:55,240 --> 00:24:58,399 Speaker 2: the form of utility subsidies, in the form of the 494 00:24:58,440 --> 00:25:01,879 Speaker 2: other cushy giveaway that they are the recipients of. Like, 495 00:25:01,920 --> 00:25:05,440 Speaker 2: I'm not opposed to the nature of data centers themselves, 496 00:25:05,480 --> 00:25:07,600 Speaker 2: I'm opposed to the way that they are attempting to 497 00:25:07,640 --> 00:25:08,320 Speaker 2: implement them. 498 00:25:08,680 --> 00:25:11,800 Speaker 1: So nearly seventy percent of US teens age thirteen to 499 00:25:11,840 --> 00:25:15,960 Speaker 1: seventeen have used an AI chat bot at least once, 500 00:25:16,520 --> 00:25:19,200 Speaker 1: and one in three teens use them daily. So when 501 00:25:19,240 --> 00:25:24,080 Speaker 1: they refer to AI chatbots, they're talking about chat GPT. 502 00:25:23,920 --> 00:25:29,639 Speaker 4: They're talking about porn. They're talking about porn that these chatbots. Casey, 503 00:25:29,840 --> 00:25:31,400 Speaker 4: most of these kids are not having. 504 00:25:31,400 --> 00:25:33,080 Speaker 3: We're getting an education this morning. 505 00:25:33,160 --> 00:25:37,120 Speaker 2: They are not having wholesome conversations with these chatbots. These 506 00:25:37,160 --> 00:25:41,240 Speaker 2: are essentially used as interactive pornography. And yeah, you got 507 00:25:41,280 --> 00:25:43,840 Speaker 2: some people who are just having a conversation because they're 508 00:25:43,840 --> 00:25:46,640 Speaker 2: so lonely. You have far more people who are using 509 00:25:46,720 --> 00:25:50,280 Speaker 2: them as a connection to interactive pornography, and I think 510 00:25:50,280 --> 00:25:53,880 Speaker 2: that's part of the appeal is that it's generative, it's 511 00:25:54,000 --> 00:25:58,880 Speaker 2: not predictable, so that it is that simulation of an 512 00:25:58,880 --> 00:26:01,400 Speaker 2: interaction with a human being that I think these kids 513 00:26:01,440 --> 00:26:05,040 Speaker 2: are craving. But in so doing, they're doing themselves a 514 00:26:05,080 --> 00:26:07,200 Speaker 2: great disservice because. 515 00:26:06,840 --> 00:26:08,800 Speaker 4: It is just that it is a simulation. 516 00:26:09,000 --> 00:26:11,520 Speaker 2: It is not a replacement, nor can it be for 517 00:26:11,680 --> 00:26:16,280 Speaker 2: real human interaction, and they are distancing themselves from the 518 00:26:17,000 --> 00:26:18,320 Speaker 2: thing that makes life worth living. 519 00:26:18,800 --> 00:26:23,320 Speaker 1: Meta has updated their policies after reports of these sexual conversations, 520 00:26:23,400 --> 00:26:26,520 Speaker 1: and they will allow parents now to block teen access 521 00:26:26,520 --> 00:26:27,560 Speaker 1: starting next year. 522 00:26:27,920 --> 00:26:30,439 Speaker 3: It breaks down equally by the way usage of this. 523 00:26:31,000 --> 00:26:34,480 Speaker 1: It's equal to girls as sixty four percent and boys 524 00:26:34,880 --> 00:26:41,880 Speaker 1: sixty three percent. Really yeah, yeah, and usage rises slightly. 525 00:26:42,040 --> 00:26:45,120 Speaker 1: You know that with household income, the greater the income, 526 00:26:45,600 --> 00:26:46,680 Speaker 1: the greater the usage. 527 00:26:47,000 --> 00:26:47,520 Speaker 7: Really. 528 00:26:48,119 --> 00:26:50,840 Speaker 2: Okay, so we're getting some fascinating data insights because I 529 00:26:50,840 --> 00:26:54,080 Speaker 2: would have figured that that was a more male dominated 530 00:26:54,600 --> 00:26:58,880 Speaker 2: area of interest than female dominated. And I also wouldn't 531 00:26:59,200 --> 00:27:02,280 Speaker 2: get well, oh, maybe if you have a higher income, 532 00:27:02,320 --> 00:27:05,760 Speaker 2: you're more isolated from your fellow man, and so you're 533 00:27:05,840 --> 00:27:10,000 Speaker 2: seeking that kind of interaection and connection that you can't 534 00:27:10,040 --> 00:27:12,760 Speaker 2: get from the everyday life. 535 00:27:12,840 --> 00:27:15,480 Speaker 3: Yeah, we talked a lot about it last week. 536 00:27:15,520 --> 00:27:18,440 Speaker 1: How you've got Bezos and the CEO of Google talking 537 00:27:18,480 --> 00:27:22,919 Speaker 1: about putting these data centers in space rather than in 538 00:27:23,000 --> 00:27:24,960 Speaker 1: farm spaces, of which you refer to. 539 00:27:25,640 --> 00:27:27,240 Speaker 3: I would be more next frontier. 540 00:27:27,359 --> 00:27:28,960 Speaker 2: I would be more supportive of that. Why don't we 541 00:27:29,000 --> 00:27:30,800 Speaker 2: put them on the moon. There's plenty of space on 542 00:27:30,840 --> 00:27:33,120 Speaker 2: the moon. We've got big old lunar craters. Just set 543 00:27:33,160 --> 00:27:35,879 Speaker 2: up a little data center up there and then stream 544 00:27:35,960 --> 00:27:37,320 Speaker 2: the content down here. 545 00:27:37,680 --> 00:27:38,520 Speaker 4: So it sounds good to me. 546 00:27:38,720 --> 00:27:41,840 Speaker 1: Salesforce is forecasting that AI is going to drive two 547 00:27:41,960 --> 00:27:45,360 Speaker 1: hundred and sixty three billion dollars in global holiday sales, 548 00:27:45,840 --> 00:27:49,720 Speaker 1: representing twenty one percent of all holiday orders. So people 549 00:27:49,760 --> 00:27:55,440 Speaker 1: are using Chat, GPT and Google Gemini to generate gift ideas, 550 00:27:55,520 --> 00:27:59,520 Speaker 1: compare prices, and also discover lesser known brands. 551 00:28:00,280 --> 00:28:03,919 Speaker 2: So they're not using the AI to make the purchases 552 00:28:03,960 --> 00:28:06,760 Speaker 2: for them, they're using the AI to generate the ideas. 553 00:28:06,840 --> 00:28:08,119 Speaker 4: To generate the ideas. 554 00:28:08,200 --> 00:28:11,800 Speaker 2: That I think is the most concerning aspect about this, 555 00:28:11,920 --> 00:28:15,680 Speaker 2: because it is the death of creativity. The more reliant 556 00:28:15,720 --> 00:28:18,560 Speaker 2: you are on computers to come up with your ideas 557 00:28:18,600 --> 00:28:23,480 Speaker 2: for you, the less adept you are at generating your own. 558 00:28:23,640 --> 00:28:26,360 Speaker 1: Yeah, some people are saying it saves time, it provides 559 00:28:26,440 --> 00:28:29,720 Speaker 1: better recommendations, and it makes shopping more fun. 560 00:28:31,320 --> 00:28:33,680 Speaker 3: Because the AI will come up with something you had 561 00:28:33,720 --> 00:28:34,320 Speaker 3: not thought of. 562 00:28:34,600 --> 00:28:38,680 Speaker 2: Maybe, but well, the AI is just based on other humans, 563 00:28:38,720 --> 00:28:41,200 Speaker 2: So it's coming up with something that people have thought of, 564 00:28:41,240 --> 00:28:43,160 Speaker 2: whether or not you have thought of it. People have 565 00:28:43,240 --> 00:28:45,760 Speaker 2: thought of it, and that's what the AI is generating 566 00:28:47,000 --> 00:28:50,360 Speaker 2: the basis of the suggestions from. But isn't part of 567 00:28:50,360 --> 00:28:53,600 Speaker 2: the joy of shopping making these discoveries for yourself? 568 00:28:53,640 --> 00:28:53,880 Speaker 8: Like that? 569 00:28:53,920 --> 00:28:55,880 Speaker 2: Part of the fun for me when I go antiquing 570 00:28:56,400 --> 00:29:01,560 Speaker 2: is running across these fines and discoveries in an organic way. 571 00:29:01,680 --> 00:29:03,920 Speaker 2: It would be less fun to me if I had 572 00:29:03,960 --> 00:29:04,400 Speaker 2: the AI. 573 00:29:04,720 --> 00:29:07,560 Speaker 3: You had a AI telling you what to get. 574 00:29:07,680 --> 00:29:08,800 Speaker 4: Now, I mean I got you know. 575 00:29:08,920 --> 00:29:13,080 Speaker 2: I have used AI to help me research for some 576 00:29:13,160 --> 00:29:15,640 Speaker 2: of the antique Show and Tell segments that I've been 577 00:29:15,680 --> 00:29:17,920 Speaker 2: doing on Terry Stacey's Show to get a little bit 578 00:29:17,920 --> 00:29:20,239 Speaker 2: more history right surrounding the end. 579 00:29:20,440 --> 00:29:23,280 Speaker 3: Why aren't you using Google instead of AI for that? 580 00:29:24,600 --> 00:29:26,880 Speaker 2: I have no reason other than I have a Twitter 581 00:29:26,880 --> 00:29:28,560 Speaker 2: account and Grock comes with That. 582 00:29:28,680 --> 00:29:30,480 Speaker 3: Was the habit that you've created. 583 00:29:30,840 --> 00:29:33,560 Speaker 2: Yeah, I mean, I'm not saying that Rock is superior 584 00:29:33,640 --> 00:29:35,120 Speaker 2: to chat GPT, it's just. 585 00:29:37,080 --> 00:29:37,840 Speaker 4: Use what I use. 586 00:29:37,960 --> 00:29:41,120 Speaker 1: Sure, isn't that interesting Because now you're getting brand loyalty 587 00:29:41,160 --> 00:29:44,320 Speaker 1: when it comes to AI. It used to be well, 588 00:29:44,360 --> 00:29:46,560 Speaker 1: I've always used Tide because my mom used Tied. 589 00:29:46,640 --> 00:29:49,680 Speaker 3: I grew up using Chres toothpaste. That's what I use. 590 00:29:50,160 --> 00:29:53,400 Speaker 1: And now you're getting brand loyalty when it comes to AI. 591 00:29:54,440 --> 00:29:57,360 Speaker 1: So some of the big retailers are partnering, partnering with 592 00:29:57,480 --> 00:29:58,000 Speaker 1: open AI. 593 00:29:58,360 --> 00:30:02,600 Speaker 3: For example, you've got Walmart, Target and even. 594 00:30:02,400 --> 00:30:07,520 Speaker 1: Etsy they have these open AI assistants and again it's 595 00:30:07,560 --> 00:30:11,720 Speaker 1: to help make recommendations in shopping lists and even reorgan. 596 00:30:11,360 --> 00:30:15,320 Speaker 2: See, that's the danger of AI. That is the demon 597 00:30:15,400 --> 00:30:18,880 Speaker 2: that's lurking in the shadows is not it's no longer 598 00:30:19,120 --> 00:30:24,040 Speaker 2: just generating content based on research, but generating the content 599 00:30:24,160 --> 00:30:27,760 Speaker 2: that these retailers want you to see. Because you don't 600 00:30:27,800 --> 00:30:31,240 Speaker 2: think that one of these Walmart ais are going to 601 00:30:31,280 --> 00:30:31,960 Speaker 2: be directing. 602 00:30:31,760 --> 00:30:33,880 Speaker 3: You're pushing out what they want to sell. 603 00:30:33,960 --> 00:30:34,320 Speaker 4: Bingo. 604 00:30:34,560 --> 00:30:37,760 Speaker 1: Yeah, okay, So Fox News was saying that you need 605 00:30:37,800 --> 00:30:42,200 Speaker 1: to buy artificial trees this Christmas because we need the 606 00:30:42,240 --> 00:30:44,560 Speaker 1: farmland for data centers. 607 00:30:45,160 --> 00:30:48,800 Speaker 10: So this farm is one hundred and fifty acres. Yeah, 608 00:30:48,840 --> 00:30:51,560 Speaker 10: they're going to be farms and there will be transmission 609 00:30:51,560 --> 00:30:55,520 Speaker 10: lines that have to go through developments and farms. That's 610 00:30:55,600 --> 00:31:02,040 Speaker 10: the very nature of a growing economy like that. Everybody 611 00:31:02,040 --> 00:31:03,040 Speaker 10: needs to get on board. 612 00:31:03,160 --> 00:31:03,880 Speaker 2: I just don't. 613 00:31:04,360 --> 00:31:07,640 Speaker 10: It's a you know what, buy a fake tree. 614 00:31:08,320 --> 00:31:11,680 Speaker 4: Oh oh, oh, digger right in my heart, I have 615 00:31:11,760 --> 00:31:12,480 Speaker 4: a fake tree. 616 00:31:13,040 --> 00:31:14,680 Speaker 10: Oh, I have a tree. 617 00:31:15,000 --> 00:31:16,200 Speaker 6: I'ming out no time for this. 618 00:31:16,400 --> 00:31:18,240 Speaker 10: I know I can't afford the tree. 619 00:31:19,000 --> 00:31:20,080 Speaker 4: That's a stupid reason. 620 00:31:20,120 --> 00:31:21,960 Speaker 2: The reason why I bought buy a fake tree is 621 00:31:22,000 --> 00:31:24,640 Speaker 2: because it's less of a fire hazard. Those organic trees, 622 00:31:24,800 --> 00:31:27,440 Speaker 2: they'll go up in an instant if they catch flame. 623 00:31:27,840 --> 00:31:31,120 Speaker 3: It is the Kendeln Casey Show. It's ninety three WYBC. 624 00:31:38,040 --> 00:31:39,960 Speaker 3: Have you ever traveled to Hawaii? 625 00:31:40,320 --> 00:31:42,280 Speaker 4: I have one of my favorite vacations. 626 00:31:41,920 --> 00:31:44,200 Speaker 3: Of all tree Really, where did you go? 627 00:31:44,480 --> 00:31:46,960 Speaker 2: I went to the Big Island. We worked our way 628 00:31:47,040 --> 00:31:49,560 Speaker 2: all around the island. I spent about two weeks there. 629 00:31:49,640 --> 00:31:52,560 Speaker 2: We rented out a condo. We had a little hotel 630 00:31:52,600 --> 00:31:54,600 Speaker 2: at the foot of a volcano. I got to see 631 00:31:54,640 --> 00:31:58,440 Speaker 2: the volcanoes, the lava flows. We went to the observatory 632 00:31:58,480 --> 00:32:00,240 Speaker 2: on top of the mountain. That was a first first 633 00:32:00,240 --> 00:32:03,200 Speaker 2: time I ever got to see the Milky Way. I'm 634 00:32:03,200 --> 00:32:05,720 Speaker 2: ashamed to admit I had never seen the Milky Way 635 00:32:05,720 --> 00:32:08,120 Speaker 2: before because I live right on the outskirts the suburbs 636 00:32:08,120 --> 00:32:11,120 Speaker 2: of Indianapolis, and the light pollution had obstructed the view. 637 00:32:11,440 --> 00:32:14,280 Speaker 2: So that was an incredible site for me to experience. 638 00:32:14,360 --> 00:32:17,520 Speaker 2: We did some snorkeling. We went to Epo Valley where 639 00:32:17,520 --> 00:32:19,680 Speaker 2: they had the hippies living down there in the valley. 640 00:32:19,840 --> 00:32:21,440 Speaker 4: A bunch of naked people running around. 641 00:32:21,560 --> 00:32:21,840 Speaker 1: That was. 642 00:32:22,360 --> 00:32:23,240 Speaker 4: That was interesting. 643 00:32:23,400 --> 00:32:25,560 Speaker 3: When did you go? How long ago was this? 644 00:32:25,560 --> 00:32:28,080 Speaker 4: This was two thousand and five, so, oh god, it's 645 00:32:28,080 --> 00:32:28,880 Speaker 4: been twenty years. 646 00:32:29,040 --> 00:32:29,320 Speaker 8: It was. 647 00:32:30,720 --> 00:32:33,520 Speaker 3: It was called the island of Hawaii then when you went. 648 00:32:34,080 --> 00:32:37,680 Speaker 1: Now, because of the Hawaii Board of Geographic Names, they 649 00:32:37,680 --> 00:32:42,040 Speaker 1: have officially officially voted to rename the island of Hawaii 650 00:32:42,120 --> 00:32:43,760 Speaker 1: to just Hawaii. 651 00:32:44,680 --> 00:32:47,640 Speaker 4: That's dumb, there, it was. I already knew it was 652 00:32:47,640 --> 00:32:48,120 Speaker 4: an island. 653 00:32:48,280 --> 00:32:53,960 Speaker 3: It was officially called Island of Hawaii. Now just Hawaii, Okay, 654 00:32:54,080 --> 00:32:55,360 Speaker 3: it's up fine with that. 655 00:32:55,560 --> 00:32:56,880 Speaker 4: Its goal is. 656 00:32:56,840 --> 00:33:02,400 Speaker 1: To realign with the other Hawaiian islands. So don't call 657 00:33:02,440 --> 00:33:05,600 Speaker 1: it the island of Hawaii. Just call it Hawaii. 658 00:33:06,040 --> 00:33:06,640 Speaker 4: I already did. 659 00:33:06,800 --> 00:33:09,840 Speaker 1: Okay, it's a Kennel and Casey show. 660 00:33:09,840 --> 00:33:11,520 Speaker 3: It's ninety three WYBC.