1 00:00:05,240 --> 00:00:07,760 Speaker 1: So you've got Nancy Pelosi who was in office for 2 00:00:07,800 --> 00:00:10,400 Speaker 1: thirty nine years. That's longer than the reign of Henry 3 00:00:10,440 --> 00:00:14,200 Speaker 1: D eight, Maxine Waters thirty five years. It's longer than 4 00:00:14,240 --> 00:00:18,720 Speaker 1: Mussolini was Bernie Sanders thirty five years? How long's Donald 5 00:00:18,760 --> 00:00:21,680 Speaker 1: Trump and been in office? Oh, five years and three months, 6 00:00:21,960 --> 00:00:22,480 Speaker 1: and he won. 7 00:00:22,360 --> 00:00:25,200 Speaker 2: The popular vote and the electoral vote. Who's the king? 8 00:00:25,480 --> 00:00:27,560 Speaker 2: Who's the queen in that situation? 9 00:00:27,840 --> 00:00:30,639 Speaker 1: So you had thousands of people marching on the State 10 00:00:30,680 --> 00:00:33,400 Speaker 1: House on Saturday, and they were there opposing Donald Trump 11 00:00:33,440 --> 00:00:34,440 Speaker 1: and his administration. 12 00:00:34,920 --> 00:00:36,320 Speaker 2: Part of the Third. 13 00:00:36,280 --> 00:00:41,239 Speaker 1: No King's Rally, that ongoing protest that happened across the 14 00:00:41,280 --> 00:00:45,600 Speaker 1: country and Indianapolis protests kind of mirrored some of the 15 00:00:45,760 --> 00:00:48,320 Speaker 1: dozens of rallies that were held across the country. It 16 00:00:48,360 --> 00:00:57,200 Speaker 1: was punctuated by drum circles and car honking signs, creative costumes, 17 00:00:57,240 --> 00:01:02,160 Speaker 1: and also a lot of flags, a communist hammer and sickle. 18 00:01:02,280 --> 00:01:07,400 Speaker 1: You had Hesbela and Hamas flags, trans flags all being waived. 19 00:01:07,440 --> 00:01:10,480 Speaker 2: So that is the energy that they were showing you. 20 00:01:10,640 --> 00:01:12,959 Speaker 3: Yeah, not a whole lot of American flags. You'll find 21 00:01:12,959 --> 00:01:16,440 Speaker 3: that there. Look, there is nothing more important to the 22 00:01:16,480 --> 00:01:20,000 Speaker 3: liberals and the Democrats than being a member of an 23 00:01:20,000 --> 00:01:24,320 Speaker 3: oppressed group. That is their entire basis. It's all identity politics, 24 00:01:24,440 --> 00:01:26,240 Speaker 3: and it's all being part of an oppressed group. And 25 00:01:26,280 --> 00:01:29,640 Speaker 3: then second to that, the next most important thing is 26 00:01:29,840 --> 00:01:33,920 Speaker 3: virtue signaling that you support oppressed groups. And that's exactly 27 00:01:33,920 --> 00:01:37,280 Speaker 3: what this entire nightmare of no Kings was. And you're 28 00:01:37,360 --> 00:01:39,360 Speaker 3: exactly right. It's funny that you ran through all those 29 00:01:39,400 --> 00:01:42,000 Speaker 3: Democrats that have been in office forever, and you know 30 00:01:42,120 --> 00:01:45,400 Speaker 3: that's who the you know supporting these no Kings protests 31 00:01:45,440 --> 00:01:47,960 Speaker 3: over the weekend. I also find it hilarious that the 32 00:01:48,040 --> 00:01:52,920 Speaker 3: last three presidential elections, the Democrats and their super delegates 33 00:01:52,920 --> 00:01:55,920 Speaker 3: at the convention have pretty much cooked the books for 34 00:01:56,120 --> 00:01:58,400 Speaker 3: every single one of their nominees. We can go back 35 00:01:58,400 --> 00:02:01,200 Speaker 3: to you remember twenty sixteen, don't you. Bernie Sanders was 36 00:02:01,240 --> 00:02:03,680 Speaker 3: doing bang up business in the primaries, and then the 37 00:02:03,680 --> 00:02:06,120 Speaker 3: Democrat Party made sure, yeah, that's not gonna happen. We're 38 00:02:06,120 --> 00:02:08,680 Speaker 3: gonna make sure Hillary Clinton wins this primary. And then 39 00:02:08,720 --> 00:02:11,919 Speaker 3: in twenty twenty, again Bernie Sanders doing really really well. 40 00:02:12,080 --> 00:02:14,240 Speaker 3: And what did the Democrats do there? Like Joe Biden 41 00:02:14,480 --> 00:02:15,959 Speaker 3: get out of the basement. I know we're in the 42 00:02:16,000 --> 00:02:17,840 Speaker 3: middle of COVID, but we need you up here. We'll 43 00:02:17,840 --> 00:02:20,080 Speaker 3: prop you up like weekend at Bernie's, and it's gonna 44 00:02:20,120 --> 00:02:22,160 Speaker 3: be fine, and you'll be the nominee. And then the 45 00:02:22,200 --> 00:02:25,000 Speaker 3: worst of all of it, twenty twenty four, the Democrat 46 00:02:25,040 --> 00:02:28,080 Speaker 3: power structure kicks Joe Biden out, says hey, you gotta 47 00:02:28,080 --> 00:02:30,040 Speaker 3: come out and say you're not running for office anymore, 48 00:02:30,080 --> 00:02:35,519 Speaker 3: and they literally instill Kamala Harris, no primary, no nothing, 49 00:02:35,600 --> 00:02:37,280 Speaker 3: Kamala Harris is our nominee. 50 00:02:37,320 --> 00:02:38,400 Speaker 4: That happens at the convention. 51 00:02:38,520 --> 00:02:41,480 Speaker 3: And it's the Democrats and the Liberals that have the 52 00:02:41,639 --> 00:02:46,160 Speaker 3: gall to spend the entire weekend throwing these no Kings 53 00:02:46,320 --> 00:02:49,720 Speaker 3: protests all over the country. They are the ones that 54 00:02:49,800 --> 00:02:54,639 Speaker 3: have been more like an autocrat or a monarch than 55 00:02:54,720 --> 00:02:56,280 Speaker 3: the Republicans certainly have been. 56 00:02:56,360 --> 00:02:56,880 Speaker 2: Yeah, you're right. 57 00:02:56,919 --> 00:02:59,919 Speaker 1: The Democrat Party they installed a president without anybody voting, 58 00:03:00,160 --> 00:03:03,160 Speaker 1: no primary, no debate, no ballot, first time since nineteen 59 00:03:03,200 --> 00:03:06,040 Speaker 1: sixty eight. So Biden quit on a Sunday, and by 60 00:03:06,200 --> 00:03:09,359 Speaker 1: Tuesday they had crowned their new queen. 61 00:03:09,840 --> 00:03:13,280 Speaker 2: So it's not that they hate kings. They hate the 62 00:03:13,639 --> 00:03:19,040 Speaker 2: kings that aren't theirs, and Saturday proves it. I mean, 63 00:03:19,880 --> 00:03:23,080 Speaker 2: it's the same argument. Right, Well, if there really was 64 00:03:23,120 --> 00:03:25,400 Speaker 2: a king or a monarchy, you wouldn't be able to 65 00:03:25,480 --> 00:03:26,960 Speaker 2: have that rally at all. 66 00:03:27,160 --> 00:03:29,280 Speaker 3: Right, And look, keep in mind, this is the second 67 00:03:29,400 --> 00:03:32,400 Speaker 3: big no King's rally that's taken place on a national scale. 68 00:03:32,520 --> 00:03:35,280 Speaker 3: They had this organized and done last year, and I 69 00:03:35,280 --> 00:03:38,840 Speaker 3: don't think much got accomplished on that last one. Much 70 00:03:38,880 --> 00:03:41,160 Speaker 3: won't get accomplished with this one because it's not really 71 00:03:41,840 --> 00:03:43,480 Speaker 3: this is what it is. Keep in mind, everything you 72 00:03:43,480 --> 00:03:46,280 Speaker 3: saw with these No Kings protests nationally this weekend had 73 00:03:46,320 --> 00:03:48,320 Speaker 3: nothing to do with any of this. It had to 74 00:03:48,360 --> 00:03:52,040 Speaker 3: do with virtue signaling, every single one of them coming 75 00:03:52,120 --> 00:03:55,560 Speaker 3: out there, virtue signaling talking about how great they are 76 00:03:55,640 --> 00:03:58,160 Speaker 3: and how awful Donald Trump is and making sure, like 77 00:03:58,200 --> 00:04:00,520 Speaker 3: you said, the perfect example of that was all the 78 00:04:00,520 --> 00:04:03,840 Speaker 3: flags that were at these rallies nationwide, Communist hammer and 79 00:04:03,880 --> 00:04:08,160 Speaker 3: sickle flags, transgender flags, all sorts of Hamas flags, and 80 00:04:08,200 --> 00:04:11,920 Speaker 3: Palestinian flags, and very few American flags. 81 00:04:11,960 --> 00:04:12,480 Speaker 4: So where was the. 82 00:04:12,560 --> 00:04:16,839 Speaker 1: Energy when Fauci locked in your church, closed your school, 83 00:04:17,200 --> 00:04:19,799 Speaker 1: mandated you put a vaccine in your body. 84 00:04:20,160 --> 00:04:23,800 Speaker 2: It's selective outrage, that's what it is. Oh, And let's 85 00:04:23,800 --> 00:04:25,200 Speaker 2: also keep in mind, wasn't. 86 00:04:24,960 --> 00:04:30,040 Speaker 1: It the Biden administration that built the censorship machine, pressuring 87 00:04:30,120 --> 00:04:36,320 Speaker 1: Facebook to suppress information and then admitted it and censoring 88 00:04:36,400 --> 00:04:42,200 Speaker 1: scientists and doctors and having everybody removed stuff from Facebook, 89 00:04:43,320 --> 00:04:45,360 Speaker 1: even humor and satire. 90 00:04:46,120 --> 00:04:49,400 Speaker 2: So you've got Destiny Wells. She was there. 91 00:04:50,040 --> 00:04:53,720 Speaker 1: She's running for Congress, and she says that the seat 92 00:04:53,800 --> 00:04:56,360 Speaker 1: belongs to the people, not corporations. 93 00:04:57,000 --> 00:05:02,239 Speaker 5: We say, no, kids, we Washington, no kings in Indy, 94 00:05:02,560 --> 00:05:06,800 Speaker 5: and no kings in our democracy because this seat doesn't belong. 95 00:05:06,560 --> 00:05:08,799 Speaker 4: To corporations and belongs to the people. 96 00:05:09,120 --> 00:05:12,479 Speaker 5: And that's why I'm running for Congress because we must 97 00:05:12,520 --> 00:05:16,239 Speaker 5: renew that corporate influence from our elections. We must change 98 00:05:16,240 --> 00:05:19,719 Speaker 5: how we do business. And that means no more corporate 99 00:05:19,800 --> 00:05:24,400 Speaker 5: congressmen either, because unlike our congressmen here in Indy, I 100 00:05:24,480 --> 00:05:28,440 Speaker 5: will not take money from healthcare insurers like Anthem, will 101 00:05:28,520 --> 00:05:32,080 Speaker 5: families go without medical care. I will not take money 102 00:05:32,080 --> 00:05:36,320 Speaker 5: from Blackrock in aes while our utilities are acquired and 103 00:05:36,400 --> 00:05:39,160 Speaker 5: our people are priced out of their homes. I will 104 00:05:39,200 --> 00:05:42,040 Speaker 5: not take money from Google or from. 105 00:05:41,880 --> 00:05:45,320 Speaker 4: Lily while they drain water from Eagle Creek Way. 106 00:05:45,400 --> 00:05:46,200 Speaker 2: The reservoir. 107 00:05:46,880 --> 00:05:50,840 Speaker 1: That is a direct swipe at Governor Brawn because if 108 00:05:50,839 --> 00:05:55,479 Speaker 1: you remember at his inauguration gala, it was sponsored by Google. 109 00:05:55,520 --> 00:05:59,919 Speaker 1: I mean, the things that she's saying make absolute perfect sense. 110 00:06:00,800 --> 00:06:04,560 Speaker 1: She's saying she's not gonna be a corporate candidate. She's 111 00:06:04,600 --> 00:06:07,359 Speaker 1: not gonna take money from any of these corporations. The 112 00:06:07,480 --> 00:06:09,839 Speaker 1: question that I have are they offering right? 113 00:06:10,160 --> 00:06:12,800 Speaker 3: Pretty easy to say, I'm not taking any of that 114 00:06:12,920 --> 00:06:16,240 Speaker 3: health care money or that Blackrock and Aees money. Were 115 00:06:16,240 --> 00:06:19,120 Speaker 3: they coming to you and offering you campaign donations? No, 116 00:06:19,440 --> 00:06:21,520 Speaker 3: but I'm not taking it even if they do. It's 117 00:06:21,560 --> 00:06:23,800 Speaker 3: real simple. Hey, you know, Elon Musk is the richest 118 00:06:23,839 --> 00:06:26,120 Speaker 3: man in the world. Casey, I'm gonna declare right now, 119 00:06:26,760 --> 00:06:28,279 Speaker 3: I'm not taking any of his money. 120 00:06:28,360 --> 00:06:29,479 Speaker 4: You're not going to I'm not. 121 00:06:29,560 --> 00:06:31,719 Speaker 3: If he derivees to give me money, I'm not gonna 122 00:06:31,760 --> 00:06:34,239 Speaker 3: take it. Really, he hasn't tried giving me any money, 123 00:06:34,240 --> 00:06:35,960 Speaker 3: So it's pretty easy for me to say that. 124 00:06:36,040 --> 00:06:37,440 Speaker 4: So, yeah, pretty funny. 125 00:06:37,440 --> 00:06:38,880 Speaker 2: He offered me money, I take it. 126 00:06:39,040 --> 00:06:40,000 Speaker 4: Of course I take it. 127 00:06:40,040 --> 00:06:41,840 Speaker 3: But I can sit here and say no, I'm not 128 00:06:41,880 --> 00:06:44,600 Speaker 3: gonna take it because he's not offering me any money. 129 00:06:44,600 --> 00:06:45,560 Speaker 4: And I don't know if any of. 130 00:06:45,520 --> 00:06:48,480 Speaker 3: Those you know, Healthcare or AES or Black Rock or 131 00:06:48,520 --> 00:06:50,640 Speaker 3: any of the others that she's mentioned are offering her 132 00:06:50,680 --> 00:06:54,640 Speaker 3: any money at this point. And look from a comedy standpoint, 133 00:06:54,720 --> 00:06:58,080 Speaker 3: from an entertainment value standpoint, I hope Destiny Wells. 134 00:06:57,920 --> 00:06:59,960 Speaker 4: Just keeps running for more and more and more elections. 135 00:07:00,000 --> 00:07:03,440 Speaker 1: We'll see if anybody in Indianapolis is buying what she's selling. 136 00:07:03,520 --> 00:07:06,480 Speaker 1: She's running against the corporate kings while carrying the water 137 00:07:06,520 --> 00:07:08,680 Speaker 1: for a party that raised over a billion dollars from 138 00:07:08,680 --> 00:07:11,880 Speaker 1: corporate donors last cycle. The irony there is pretty thick. 139 00:07:11,920 --> 00:07:14,360 Speaker 1: I always get a kick out of the comments when 140 00:07:14,960 --> 00:07:19,160 Speaker 1: she posts something like that and somebody said, we took 141 00:07:19,160 --> 00:07:21,320 Speaker 1: power from the king two hundred and fifty years ago. 142 00:07:21,360 --> 00:07:24,560 Speaker 1: In case you missed it, Third times of charm trying 143 00:07:24,560 --> 00:07:28,360 Speaker 1: to win any statewide election. Also, I don't vote for 144 00:07:28,440 --> 00:07:31,240 Speaker 1: little girls who fret about imaginary kings. 145 00:07:31,360 --> 00:07:34,360 Speaker 3: Yeah, going straight to the comments on her Twitter posts 146 00:07:34,400 --> 00:07:36,320 Speaker 3: is one of the best parts about this, and also 147 00:07:36,440 --> 00:07:38,800 Speaker 3: another part of this. Keep in mind this is billed 148 00:07:38,960 --> 00:07:41,160 Speaker 3: and it's kind of projected at the public as this 149 00:07:42,080 --> 00:07:45,200 Speaker 3: grass roots, the swelling of grass roots, and these people 150 00:07:45,280 --> 00:07:47,840 Speaker 3: that are coming out here. The Indiana Capitol Chronicle article 151 00:07:47,880 --> 00:07:48,560 Speaker 3: talked about. 152 00:07:48,320 --> 00:07:51,160 Speaker 4: How they had a one million dollar. 153 00:07:51,040 --> 00:07:54,120 Speaker 3: Ad campaign to support the in promote turning. Here's that 154 00:07:54,160 --> 00:07:57,440 Speaker 3: money coming from, oh, advocacy groups and probably I don't 155 00:07:57,440 --> 00:07:59,160 Speaker 3: know where it's coming from, but it wouldn't surprise me 156 00:07:59,200 --> 00:08:00,760 Speaker 3: if some of it comes from some of those corporate 157 00:08:00,880 --> 00:08:03,440 Speaker 3: entities that Destiny Wells was so proud to say that 158 00:08:03,480 --> 00:08:05,960 Speaker 3: she's not taking any money from. There were also reports 159 00:08:05,960 --> 00:08:08,200 Speaker 3: all over social media over the weekend as well about 160 00:08:08,280 --> 00:08:12,280 Speaker 3: how a lot of these protesters were paid by advocacy 161 00:08:12,320 --> 00:08:13,480 Speaker 3: grou and there were also. 162 00:08:13,360 --> 00:08:17,800 Speaker 1: Reports that the money for the pre printed signs coming 163 00:08:17,800 --> 00:08:21,320 Speaker 1: from five hundred groups three hundred billion dollars in revenue, 164 00:08:21,600 --> 00:08:24,520 Speaker 1: and a lot of the money leads back to some 165 00:08:24,680 --> 00:08:28,280 Speaker 1: billionaire business people from China. You know, I mean, I 166 00:08:28,320 --> 00:08:31,600 Speaker 1: will give Destiny Wells this credit. You know what make 167 00:08:31,720 --> 00:08:34,439 Speaker 1: Andre Carson work for it? Oh? 168 00:08:34,480 --> 00:08:35,440 Speaker 4: Absolutely, Yeah. 169 00:08:35,440 --> 00:08:37,720 Speaker 3: He has not had a real serious challenger in a 170 00:08:37,720 --> 00:08:40,320 Speaker 3: long time for that congressional. 171 00:08:39,760 --> 00:08:42,400 Speaker 4: District, and so you know she's going to give him 172 00:08:42,400 --> 00:08:42,840 Speaker 4: the business. 173 00:08:42,840 --> 00:08:45,120 Speaker 3: She's very vocal and what she does, she does a 174 00:08:45,120 --> 00:08:47,280 Speaker 3: really good job in getting her message out on social 175 00:08:47,320 --> 00:08:49,360 Speaker 3: media and in the traditional media. 176 00:08:49,440 --> 00:08:51,760 Speaker 4: So yeah, this is not going to be just an. 177 00:08:51,640 --> 00:08:54,200 Speaker 3: Easy cake walk for Andre Carson like it normally is 178 00:08:54,200 --> 00:08:55,280 Speaker 3: when it comes to his reelection. 179 00:08:55,640 --> 00:08:56,439 Speaker 2: So you had JD. 180 00:08:56,600 --> 00:09:01,200 Speaker 1: Vance holding his first Task Force to Eliminate Fraud meeting, 181 00:09:01,400 --> 00:09:04,959 Speaker 1: and it focused on cracking down on misuse of federal 182 00:09:05,000 --> 00:09:09,839 Speaker 1: benefit programs and government funds and they're getting right to work. 183 00:09:09,880 --> 00:09:13,600 Speaker 1: He brought together a bunch of senior officials, it was 184 00:09:13,679 --> 00:09:17,960 Speaker 1: half of the Cabinet and a bunch of top Justice 185 00:09:17,960 --> 00:09:21,720 Speaker 1: Department personnel for the first meeting. And the task force 186 00:09:21,840 --> 00:09:26,679 Speaker 1: is targeting large scale fraud in programs like Medicaid, also Medicare, 187 00:09:27,320 --> 00:09:30,800 Speaker 1: and also that high profile issue in Minnesota. 188 00:09:31,320 --> 00:09:34,400 Speaker 2: But you have the Treasury Secretary, Scott Piscent. 189 00:09:34,679 --> 00:09:37,840 Speaker 1: And he said, as part of this this new anti 190 00:09:37,920 --> 00:09:41,360 Speaker 1: fraud program, they're going to be giving whistleblowers up to 191 00:09:41,559 --> 00:09:45,960 Speaker 1: thirty percent of any fines that are levied against criminals. 192 00:09:46,240 --> 00:09:48,719 Speaker 6: I don't know, Joe, but it's very exciting. I think 193 00:09:48,720 --> 00:09:50,840 Speaker 6: it's going to be a great way to ferret out waste, 194 00:09:50,840 --> 00:09:55,480 Speaker 6: fraud and abuse, starting in Minneapolis, which has been ground zero. 195 00:09:55,960 --> 00:09:59,959 Speaker 6: So we are encouraging whistleblowers who know about fraud. People 196 00:10:00,040 --> 00:10:06,280 Speaker 6: we're stealing from the American taxpayer to come forward at Treasury. 197 00:10:06,360 --> 00:10:09,200 Speaker 6: We're setting up a website and we will be giving 198 00:10:09,320 --> 00:10:13,800 Speaker 6: rewards up to ten to thirty percent of the fines 199 00:10:13,840 --> 00:10:14,600 Speaker 6: that we levied. 200 00:10:15,440 --> 00:10:17,520 Speaker 2: Thirty percent of fines for whistleblowers. 201 00:10:17,880 --> 00:10:21,320 Speaker 1: That's not a token reward, I mean, that's life changing 202 00:10:21,360 --> 00:10:24,760 Speaker 1: incentive for some people to blow the whistle on the boss. 203 00:10:24,920 --> 00:10:25,120 Speaker 4: Yeah. 204 00:10:25,120 --> 00:10:27,360 Speaker 3: A lot of these finds that the government hands out 205 00:10:27,360 --> 00:10:30,440 Speaker 3: are multimillion dollar fines. So getting your hands on ten 206 00:10:30,480 --> 00:10:32,520 Speaker 3: to thirty percent of that can be a ton of money. 207 00:10:32,520 --> 00:10:35,520 Speaker 3: What a great idea. Why haven't we done this before? 208 00:10:35,840 --> 00:10:39,280 Speaker 3: It seems common sense. Let's incentivize because a lot of whistleblowers, 209 00:10:40,000 --> 00:10:42,400 Speaker 3: you know, you'll put their jobs at risk, put their 210 00:10:42,400 --> 00:10:44,120 Speaker 3: safety at risk when they come forward on this. 211 00:10:44,200 --> 00:10:45,640 Speaker 4: It's supposed to be a safe space. 212 00:10:45,840 --> 00:10:47,720 Speaker 3: You're supposed to be able to blow the whistle in 213 00:10:47,720 --> 00:10:49,800 Speaker 3: the federal government on things like this and not have 214 00:10:49,840 --> 00:10:53,160 Speaker 3: any repercussions. Not always worked out that way, So to 215 00:10:53,360 --> 00:10:57,520 Speaker 3: incentivize them is a spectacular idea. And this goes back 216 00:10:57,520 --> 00:11:02,000 Speaker 3: to this theme of why so many people supported Trump 217 00:11:02,000 --> 00:11:04,120 Speaker 3: when he ran for re election in twenty twenty four 218 00:11:04,200 --> 00:11:07,640 Speaker 3: and support Trump to this day because he's not afraid 219 00:11:07,760 --> 00:11:09,319 Speaker 3: to do things differently. 220 00:11:09,440 --> 00:11:10,280 Speaker 4: I think we can. 221 00:11:10,120 --> 00:11:13,040 Speaker 3: All agree that the way things were going, as far 222 00:11:13,080 --> 00:11:16,960 Speaker 3: as our federal government is concerned, weren't working. We got 223 00:11:17,000 --> 00:11:19,120 Speaker 3: to try something new. We can't just have these you know, 224 00:11:19,160 --> 00:11:21,800 Speaker 3: all these establishment politicians in there that are just trying 225 00:11:21,840 --> 00:11:23,880 Speaker 3: to kick the can down the road and do things 226 00:11:23,880 --> 00:11:25,880 Speaker 3: the way we've always done it. So coming out and 227 00:11:26,000 --> 00:11:30,680 Speaker 3: incentivizing whistleblowers to expose fraud by giving him a cut 228 00:11:30,679 --> 00:11:32,439 Speaker 3: of that, I mean, this is what we do when 229 00:11:32,440 --> 00:11:34,960 Speaker 3: it comes to terrorists. We find a big terrorist, we 230 00:11:35,000 --> 00:11:37,680 Speaker 3: put a bounty on their head. Similar with Nicholas Maduro, 231 00:11:37,760 --> 00:11:40,360 Speaker 3: if you give us information that leads to his arrest, capture, 232 00:11:40,600 --> 00:11:42,800 Speaker 3: then you get that reward money. I see this as 233 00:11:42,800 --> 00:11:43,880 Speaker 3: something very similar to that. 234 00:11:44,160 --> 00:11:47,520 Speaker 2: This task force launching as soon as today. 235 00:11:47,559 --> 00:11:50,880 Speaker 1: You've got all hands on deck and is showing And 236 00:11:50,920 --> 00:11:53,520 Speaker 1: you asked about why weren't we prosecuting before? 237 00:11:53,559 --> 00:11:55,920 Speaker 2: Well, here's JD Vance and he's saying. 238 00:11:55,679 --> 00:11:59,959 Speaker 1: That DOJ doesn't prosecute fraud under one point five million dollars. 239 00:12:00,360 --> 00:12:03,440 Speaker 7: So it takes money away from the American citizens who 240 00:12:03,480 --> 00:12:06,920 Speaker 7: need these services. It defrauds the tax payer, and you're 241 00:12:06,960 --> 00:12:08,800 Speaker 7: absolutely right that the thing that we need to do 242 00:12:08,880 --> 00:12:11,320 Speaker 7: is get real justice. So you know something I learned 243 00:12:11,320 --> 00:12:12,720 Speaker 7: just in the past couple of months. I had no 244 00:12:12,840 --> 00:12:16,960 Speaker 7: idea that we do not prosecute fraud in this country 245 00:12:17,160 --> 00:12:19,600 Speaker 7: if it's under one point five million dollars per year. 246 00:12:19,920 --> 00:12:21,200 Speaker 4: Okay, so think about that. 247 00:12:21,280 --> 00:12:24,480 Speaker 7: Think of all the people who are one point five 248 00:12:24,520 --> 00:12:27,200 Speaker 7: million dollars a year. This is not chunk change. That 249 00:12:27,360 --> 00:12:31,319 Speaker 7: is meaningful money. And by the way, sometimes by prosecuting 250 00:12:31,360 --> 00:12:34,320 Speaker 7: the lower level people, you get to the higher level 251 00:12:34,320 --> 00:12:37,960 Speaker 7: people who have sort of the conspiracy to commit fraud 252 00:12:38,280 --> 00:12:39,400 Speaker 7: against the American people. 253 00:12:39,840 --> 00:12:42,480 Speaker 1: So the message has been to fraudsters, keep it under 254 00:12:42,520 --> 00:12:44,880 Speaker 1: a million and a half and you're untouchable. 255 00:12:45,000 --> 00:12:46,640 Speaker 2: Yeah, that's going to end. Now. 256 00:12:47,040 --> 00:12:51,080 Speaker 3: That's an unbelievable statement there from Vice President Advance. And 257 00:12:51,120 --> 00:12:54,839 Speaker 3: you can you know, I'm sure that criminals were aware 258 00:12:54,880 --> 00:12:57,640 Speaker 3: of that information because they're usually pretty smart when it 259 00:12:57,640 --> 00:12:59,760 Speaker 3: comes to the laws and what the government prosecutes and 260 00:12:59,800 --> 00:13:01,360 Speaker 3: what they don't. So as long as you keep it 261 00:13:01,440 --> 00:13:03,319 Speaker 3: under a million and a half a year, shoot, I 262 00:13:03,360 --> 00:13:05,760 Speaker 3: can make a pretty darn good living by committing fraud. 263 00:13:05,800 --> 00:13:07,400 Speaker 3: As long as it's under a million and a half 264 00:13:07,400 --> 00:13:09,640 Speaker 3: a year and knowing that I'm not gonna have to 265 00:13:09,640 --> 00:13:11,440 Speaker 3: worry about potential prosecution as. 266 00:13:11,360 --> 00:13:11,720 Speaker 4: Part of it. 267 00:13:11,800 --> 00:13:13,560 Speaker 1: They also do need to point out, though, that that's 268 00:13:13,600 --> 00:13:16,400 Speaker 1: pretty scary. You've got the Vice President of the United 269 00:13:16,440 --> 00:13:19,880 Speaker 1: States saying the Executive Branch didn't know its own DOJ 270 00:13:20,080 --> 00:13:21,800 Speaker 1: policy on fraud prosecution. 271 00:13:22,200 --> 00:13:25,240 Speaker 2: He just admitted right there that they. 272 00:13:25,760 --> 00:13:26,280 Speaker 4: He didn't know. 273 00:13:26,600 --> 00:13:28,320 Speaker 3: Yeah, I had no idea as it comes to that. 274 00:13:28,360 --> 00:13:31,920 Speaker 3: But this talks the fact that we're going back to 275 00:13:31,960 --> 00:13:34,360 Speaker 3: this again. I mean, we had Elon Musk and Doge 276 00:13:34,400 --> 00:13:37,120 Speaker 3: and yeah, that's still around in some incarnation, but certainly 277 00:13:37,120 --> 00:13:39,880 Speaker 3: not at the aggressive level that Elon had it running 278 00:13:39,920 --> 00:13:42,920 Speaker 3: on last spring. And while that has kind of fallen 279 00:13:42,960 --> 00:13:46,000 Speaker 3: apart or certainly changed the way it's going. Trump appointing 280 00:13:46,120 --> 00:13:49,600 Speaker 3: Vance as this frauds are it just it points out 281 00:13:49,600 --> 00:13:52,040 Speaker 3: the fact that, look, the job's not done, far from 282 00:13:52,040 --> 00:13:55,040 Speaker 3: being done. It's probably just still getting started. And this 283 00:13:55,120 --> 00:13:57,280 Speaker 3: is an important priority from the Trump administration. 284 00:13:57,400 --> 00:14:00,880 Speaker 2: You're listening to Casey and Jim. It is ninety three WIBC. 285 00:14:04,520 --> 00:14:08,319 Speaker 1: Innocent until proven guilty means nothing if the algorithm has 286 00:14:08,400 --> 00:14:10,400 Speaker 1: already decided you're guilty. 287 00:14:09,960 --> 00:14:12,679 Speaker 2: And then the police just don't question it. 288 00:14:13,120 --> 00:14:14,760 Speaker 1: Here's a case that needs to be in front of 289 00:14:14,760 --> 00:14:19,120 Speaker 1: every lawmaker who is debating AI regulation. This is a 290 00:14:19,200 --> 00:14:24,480 Speaker 1: story about a woman and police in Fargo, North Dakota, 291 00:14:24,640 --> 00:14:29,280 Speaker 1: used AI facial recognition software to identify a suspect in 292 00:14:29,320 --> 00:14:32,800 Speaker 1: a bank fraud case. The tech flagged the woman from 293 00:14:32,840 --> 00:14:37,520 Speaker 1: Tennessee as a suspect. Problem is the woman. Her name 294 00:14:37,560 --> 00:14:41,680 Speaker 1: is Angela Lips. She had never been to the state 295 00:14:41,920 --> 00:14:45,200 Speaker 1: and had no connection to the crime scene there at all. 296 00:14:45,920 --> 00:14:49,200 Speaker 1: She was arrested at her home in Tennessee by US 297 00:14:49,280 --> 00:14:54,440 Speaker 1: marshals and held in jail four months awaiting extradition to 298 00:14:54,560 --> 00:14:58,480 Speaker 1: North Dakota. She spent nearly half a year behind bars, 299 00:14:58,920 --> 00:15:02,800 Speaker 1: could not fight the charges until she was transported to 300 00:15:02,960 --> 00:15:07,360 Speaker 1: North Dakota. Once she was in court, her lawyers presented 301 00:15:07,520 --> 00:15:10,480 Speaker 1: her own bank records proving that she was in fact 302 00:15:10,760 --> 00:15:14,840 Speaker 1: in Tennessee at the time of the alleged crime, and 303 00:15:14,920 --> 00:15:18,800 Speaker 1: all the charges were dismissed. But she spent months in 304 00:15:18,920 --> 00:15:22,840 Speaker 1: jail and during that time she lost her home, her car, 305 00:15:23,440 --> 00:15:25,000 Speaker 1: and even her dog. Yeah. 306 00:15:25,360 --> 00:15:27,320 Speaker 3: What a sad story that this was. And it came 307 00:15:27,320 --> 00:15:29,480 Speaker 3: out over the weekend and I think most of this 308 00:15:29,960 --> 00:15:34,120 Speaker 3: because there was AI facial recognition technology used in the process. 309 00:15:34,400 --> 00:15:37,520 Speaker 3: That's getting all the headlines in this because AI is 310 00:15:37,840 --> 00:15:40,200 Speaker 3: getting headliness no matter what it does these days. But 311 00:15:40,280 --> 00:15:44,880 Speaker 3: this is really an issue of sloppy police work, much 312 00:15:45,000 --> 00:15:47,640 Speaker 3: much more so than AI. And in fact, the chief 313 00:15:47,680 --> 00:15:50,200 Speaker 3: of police from the Fargo Police Department came out and said, 314 00:15:50,400 --> 00:15:52,760 Speaker 3: you know, at some point their partner agency in West 315 00:15:52,800 --> 00:15:56,960 Speaker 3: Fargo purchased their own AI facial recognition system that they 316 00:15:56,960 --> 00:15:59,320 Speaker 3: were not aware of, and they wouldn't have allowed it 317 00:15:59,320 --> 00:16:02,280 Speaker 3: to be you used, and since it's been prohibited, so 318 00:16:02,480 --> 00:16:04,640 Speaker 3: you've got one of the chiefs of police who was 319 00:16:05,000 --> 00:16:07,520 Speaker 3: you know, intimately involved in all of this, saying, hey, 320 00:16:08,400 --> 00:16:10,840 Speaker 3: it was our own internal procedures and the way we 321 00:16:10,960 --> 00:16:13,720 Speaker 3: do things that really made this a total disaster, not 322 00:16:13,840 --> 00:16:15,480 Speaker 3: so much the AI aspect of it. 323 00:16:15,680 --> 00:16:18,520 Speaker 1: Yeah, authorities admitted there were mistakes of the process and 324 00:16:18,560 --> 00:16:23,080 Speaker 1: they're now reviewing how they use the facial recognition technology. 325 00:16:23,880 --> 00:16:28,360 Speaker 1: But you've got an AI facial recognition technology help arresting 326 00:16:28,440 --> 00:16:31,640 Speaker 1: the wrong person for crimes in a state she'd never 327 00:16:32,080 --> 00:16:37,840 Speaker 1: even been to. So the technology is only good as 328 00:16:37,880 --> 00:16:42,480 Speaker 1: good as the safeguards around it. And clearly the safeguards 329 00:16:42,880 --> 00:16:43,920 Speaker 1: aren't there yet. 330 00:16:44,560 --> 00:16:48,400 Speaker 3: Yeah, and look, she's got an attorney, as she should now, 331 00:16:48,440 --> 00:16:51,600 Speaker 3: and her lawyers are exploring a potential civil rights claim 332 00:16:51,680 --> 00:16:54,560 Speaker 3: on this had nothing's been filed yet, But yes, this 333 00:16:54,640 --> 00:16:57,120 Speaker 3: it seems like that any reasonable person would expect that 334 00:16:57,160 --> 00:16:59,840 Speaker 3: this woman deserves some sort of compensation for. 335 00:16:59,840 --> 00:17:01,280 Speaker 4: A massive sue. 336 00:17:01,920 --> 00:17:04,800 Speaker 3: Yeah, exactly, and she you know, my opinion, she should 337 00:17:04,840 --> 00:17:06,840 Speaker 3: win and should win big, because, like you said, her 338 00:17:06,880 --> 00:17:09,480 Speaker 3: life was ruined. She lost her job, she lost her house, 339 00:17:09,520 --> 00:17:11,439 Speaker 3: she lost her dog as she was locked up in 340 00:17:11,480 --> 00:17:14,840 Speaker 3: a Tennessee jail for months. There aren't there's no clear 341 00:17:14,880 --> 00:17:18,120 Speaker 3: reason as to why the extradition process taking her from 342 00:17:18,119 --> 00:17:21,080 Speaker 3: Tennessee to North Dakota took so long to start with, 343 00:17:21,200 --> 00:17:24,760 Speaker 3: because if she had been extradited quickly, then she would 344 00:17:24,800 --> 00:17:26,720 Speaker 3: have been seen in court quicker and would have had 345 00:17:26,760 --> 00:17:29,719 Speaker 3: an opportunity for her lawyers to show Look, I've got 346 00:17:29,760 --> 00:17:32,080 Speaker 3: bank records here showing that she was in Tennessee the 347 00:17:32,080 --> 00:17:35,080 Speaker 3: whole time. She's never even been to Fargo or even 348 00:17:35,119 --> 00:17:38,240 Speaker 3: the state of North Dakota, so this couldn't be the 349 00:17:38,240 --> 00:17:40,960 Speaker 3: same person. Yeah, there, AI is never going to be 350 00:17:41,000 --> 00:17:43,879 Speaker 3: one hundred percent right, and obviously we need to do 351 00:17:43,920 --> 00:17:46,680 Speaker 3: a better job from the human end of things when 352 00:17:46,680 --> 00:17:49,159 Speaker 3: it comes to double checking that AI. But yeah, she 353 00:17:49,240 --> 00:17:52,200 Speaker 3: should absolutely sue, and I hope she gets a lot 354 00:17:52,200 --> 00:17:53,760 Speaker 3: of money because her life has been ruined. 355 00:17:53,880 --> 00:17:54,440 Speaker 2: Yeah, you're right. 356 00:17:54,480 --> 00:17:57,000 Speaker 1: I mean, this is just a sign of either lazy 357 00:17:57,240 --> 00:18:01,480 Speaker 1: or sloppy detective work, because you can't just turn everything 358 00:18:01,520 --> 00:18:04,960 Speaker 1: over to the algorithm. They're pointing the finger at the 359 00:18:05,000 --> 00:18:08,560 Speaker 1: wrong person. You've already handed the keys of justice over 360 00:18:08,600 --> 00:18:12,440 Speaker 1: to software, and that's not how due process is supposed 361 00:18:12,480 --> 00:18:12,920 Speaker 1: to work. 362 00:18:13,280 --> 00:18:15,720 Speaker 2: Now here's another story, also a weird. 363 00:18:15,800 --> 00:18:20,840 Speaker 1: One man was sentenced to prison after a bizarre home invasion. 364 00:18:21,320 --> 00:18:23,600 Speaker 1: He was sentenced to six years and eight months in 365 00:18:23,680 --> 00:18:27,639 Speaker 1: state prison, the maximum under California law. This after he 366 00:18:27,720 --> 00:18:31,600 Speaker 1: pled no contest to felony stalking and breaking into a 367 00:18:31,600 --> 00:18:38,320 Speaker 1: woman's home. His intent was to suck on her toes. 368 00:18:38,640 --> 00:18:42,640 Speaker 4: Oh is that wrong? Did he? Is there a law 369 00:18:42,640 --> 00:18:43,159 Speaker 4: against that? 370 00:18:43,520 --> 00:18:46,760 Speaker 1: He was fixated on this woman that he saw at 371 00:18:46,800 --> 00:18:50,320 Speaker 1: her a workplace, and he ended up stalking her for 372 00:18:50,680 --> 00:18:54,480 Speaker 1: many weeks, showing up loitering outside of her job. 373 00:18:54,560 --> 00:18:57,120 Speaker 2: He eventually took it to the next level broke into 374 00:18:57,160 --> 00:18:57,679 Speaker 2: her house. 375 00:18:58,200 --> 00:19:02,920 Speaker 1: The woman woke up to him sucking, biting, and licking 376 00:19:03,040 --> 00:19:05,040 Speaker 1: her toes while she was asleep. 377 00:19:05,640 --> 00:19:08,639 Speaker 3: Look, you know, I don't want to make light of 378 00:19:08,640 --> 00:19:11,600 Speaker 3: what this woman's been through. Certainly traumatic for her, and 379 00:19:11,640 --> 00:19:13,240 Speaker 3: I hope she ends up, you know, being able to 380 00:19:13,240 --> 00:19:14,639 Speaker 3: get on with her life on this. I mean, that 381 00:19:14,640 --> 00:19:17,520 Speaker 3: would be a very traumatic experience on that and and 382 00:19:17,640 --> 00:19:21,040 Speaker 3: this guy definitely should go to jail on this. Look, 383 00:19:21,160 --> 00:19:24,480 Speaker 3: we've all got a thing. I'm just really glad that 384 00:19:24,600 --> 00:19:27,399 Speaker 3: breaking into people's homes and sucking on their toes is 385 00:19:27,440 --> 00:19:27,959 Speaker 3: not right. 386 00:19:28,520 --> 00:19:30,320 Speaker 4: Not my thing. 387 00:19:30,400 --> 00:19:33,280 Speaker 3: Look, everybody's got a thing, and sometimes I look at 388 00:19:33,320 --> 00:19:36,200 Speaker 3: these cases and just go, man, I'm glad that that 389 00:19:36,280 --> 00:19:37,560 Speaker 3: thing is not my thing. 390 00:19:37,720 --> 00:19:39,600 Speaker 2: Sucking on toes not your thing. 391 00:19:39,760 --> 00:19:43,040 Speaker 1: That's that's a that's a nice admission there, even though 392 00:19:43,080 --> 00:19:45,240 Speaker 1: I've got a nice pare. 393 00:19:45,800 --> 00:19:49,080 Speaker 4: Toes are discussed. Toes and feet are disgusting. The trend 394 00:19:49,119 --> 00:19:52,359 Speaker 4: that does exactly she should be covered that. 395 00:19:52,520 --> 00:19:54,720 Speaker 3: I have been in full support of this trend the 396 00:19:54,840 --> 00:19:57,480 Speaker 3: last couple of years, where people cover up their toes 397 00:19:57,520 --> 00:20:00,919 Speaker 3: in public, especially dudes. Look, if you're a guy, the 398 00:20:00,960 --> 00:20:03,000 Speaker 3: only time you should be wearing flip flops is when 399 00:20:03,000 --> 00:20:05,040 Speaker 3: you're by the pool. That's it. I don't want to 400 00:20:05,080 --> 00:20:07,320 Speaker 3: see any of that stuff in public. Toes and feet 401 00:20:07,359 --> 00:20:10,239 Speaker 3: are disgusting. They should be wrapped in a sock and 402 00:20:10,240 --> 00:20:12,159 Speaker 3: then a closed toed shoe on top of it. 403 00:20:12,200 --> 00:20:14,160 Speaker 4: Don't want anything to do with any of those. 404 00:20:14,760 --> 00:20:18,479 Speaker 1: So the authorities say that the woman stayed calm and 405 00:20:18,680 --> 00:20:23,200 Speaker 1: talked to him, so the situation didn't escalate. And he 406 00:20:23,280 --> 00:20:27,960 Speaker 1: also faces separate federal drug trafficking charges, So this is 407 00:20:28,000 --> 00:20:29,160 Speaker 1: a guy with some issues. 408 00:20:29,359 --> 00:20:31,320 Speaker 3: When you're doing that, you put yourself in a really 409 00:20:31,440 --> 00:20:33,880 Speaker 3: vulnerable position because if I mean, she could have easily 410 00:20:33,960 --> 00:20:37,000 Speaker 3: woken up and just I mean kicked him scissor kicked 411 00:20:37,040 --> 00:20:39,880 Speaker 3: him right to the neck. I mean, his head's right there, 412 00:20:40,080 --> 00:20:42,600 Speaker 3: your feet are right there, pretty easy. 413 00:20:42,640 --> 00:20:44,560 Speaker 4: I mean, it almost seems like it would be like. 414 00:20:44,560 --> 00:20:47,840 Speaker 3: A reflex reaction to kick somebody in the head like that. 415 00:20:47,920 --> 00:20:50,760 Speaker 1: If they're doing that, you're listening to ninety three WIBC. 416 00:20:56,480 --> 00:20:58,600 Speaker 7: I have not been able to spend enough time on 417 00:20:58,640 --> 00:21:01,239 Speaker 7: this to really understand it, but I am going to 418 00:21:01,280 --> 00:21:01,639 Speaker 7: trust me. 419 00:21:01,720 --> 00:21:02,600 Speaker 4: I'm obsessed with this. 420 00:21:02,960 --> 00:21:04,760 Speaker 7: I've already had a couple of times where I'm like, 421 00:21:04,760 --> 00:21:07,040 Speaker 7: all right, we're going to Area fifty one, we're going 422 00:21:07,040 --> 00:21:08,520 Speaker 7: out to New Mexico. We're just sort of get to 423 00:21:08,600 --> 00:21:10,800 Speaker 7: the bottom of this. And then the timing the trip 424 00:21:10,880 --> 00:21:13,960 Speaker 7: just didn't work out. But trust me, anybody who's curious 425 00:21:13,960 --> 00:21:16,520 Speaker 7: about this, I'm more curious than anybody, and I've got 426 00:21:16,560 --> 00:21:20,320 Speaker 7: three years of the very tippy top of the classification. 427 00:21:20,720 --> 00:21:21,840 Speaker 4: I'm going to get to the bottom of it. 428 00:21:22,600 --> 00:21:25,520 Speaker 1: So there you have the Vice President of the United 429 00:21:25,560 --> 00:21:29,520 Speaker 1: States going on records saying that he hasn't been to 430 00:21:29,480 --> 00:21:31,080 Speaker 1: an area of fifty. 431 00:21:30,760 --> 00:21:34,520 Speaker 2: One yet, the word yet doing a lot of work. 432 00:21:34,520 --> 00:21:38,240 Speaker 1: In that sentence, here's a guy that has top secret, 433 00:21:38,400 --> 00:21:42,359 Speaker 1: the top tippy top clearance, and he's saying that, Yeah, 434 00:21:42,480 --> 00:21:47,359 Speaker 1: he's very curious about aliens and UFOs and Area fifty 435 00:21:47,400 --> 00:21:50,680 Speaker 1: one is the most interesting thing to happen in UFO 436 00:21:50,960 --> 00:21:53,680 Speaker 1: discourse in decades, and he's one to go. 437 00:21:54,480 --> 00:21:58,600 Speaker 3: The alien discussion coming to us from the government the 438 00:21:58,720 --> 00:22:01,840 Speaker 3: last several years does seem to be ramping up in 439 00:22:01,880 --> 00:22:04,600 Speaker 3: that direction, and there's been a lot George W. Bush 440 00:22:04,800 --> 00:22:07,680 Speaker 3: had that comment a few years ago about aliens. Obama 441 00:22:07,760 --> 00:22:10,320 Speaker 3: had some recent comments about aliens, and then of course 442 00:22:10,520 --> 00:22:13,080 Speaker 3: Trump had to respond to that. And now we've got JD. 443 00:22:13,359 --> 00:22:16,200 Speaker 3: Vance and you've got things like this, you know, retired 444 00:22:16,240 --> 00:22:20,760 Speaker 3: Major General William mccaslan that was very much involved in 445 00:22:20,880 --> 00:22:24,639 Speaker 3: UFO related research and he's gone missing. And this NASA 446 00:22:24,760 --> 00:22:28,320 Speaker 3: scientist that he had ties to, Monica Reza, went missing 447 00:22:28,480 --> 00:22:32,200 Speaker 3: last year. The new Steven Spielberg movie that's coming out 448 00:22:32,200 --> 00:22:35,359 Speaker 3: this summer called Disclosure Day, which is about aliens, and 449 00:22:35,400 --> 00:22:38,240 Speaker 3: we know that the CIA and the government has worked 450 00:22:38,240 --> 00:22:41,800 Speaker 3: with Hollywood in the past. I'm the feeling I get 451 00:22:42,359 --> 00:22:45,160 Speaker 3: is it almost and this is gonna sound tinfoil hat. 452 00:22:45,800 --> 00:22:49,040 Speaker 3: Conspiracy theorists are gonna love this. It seems like the 453 00:22:49,080 --> 00:22:52,240 Speaker 3: government is trying to prepare us for something like they're 454 00:22:52,280 --> 00:22:57,160 Speaker 3: dripping it exactly, like they're making the concept of some 455 00:22:57,240 --> 00:23:01,000 Speaker 3: sort of alien information. And look, there's there anybody that 456 00:23:01,119 --> 00:23:04,879 Speaker 3: just trusts the US government, you know directly is obviously 457 00:23:04,920 --> 00:23:07,400 Speaker 3: a fool. They're always going to be telling us half 458 00:23:07,440 --> 00:23:09,800 Speaker 3: truths or non truths or flat out lying to us. 459 00:23:09,840 --> 00:23:12,880 Speaker 3: And I think that every reasonable person believes the US 460 00:23:12,960 --> 00:23:16,359 Speaker 3: government knows a lot more about aliens than what they're 461 00:23:16,440 --> 00:23:19,160 Speaker 3: letting on. It just does kind of seem like they're 462 00:23:19,200 --> 00:23:21,679 Speaker 3: trying to get us as a society and as a 463 00:23:21,720 --> 00:23:26,600 Speaker 3: culture prepared, prepared, and comfortable with this because the level 464 00:23:26,680 --> 00:23:29,439 Speaker 3: and the frequency of what we're hearing about information on 465 00:23:29,480 --> 00:23:31,439 Speaker 3: this just keeps growing and growing and growing. 466 00:23:31,520 --> 00:23:32,080 Speaker 2: So jd. 467 00:23:32,200 --> 00:23:35,080 Speaker 1: Vance said that he's obsessed and he plans to get 468 00:23:35,080 --> 00:23:37,399 Speaker 1: to the bottom of it before his term ends. And 469 00:23:37,400 --> 00:23:40,440 Speaker 1: then you had Donald Trump who publicly said he's pushing 470 00:23:40,480 --> 00:23:44,320 Speaker 1: to release government files on Alien live for UAPs, and 471 00:23:44,440 --> 00:23:48,439 Speaker 1: even the registration of government domainames like alien dot gov 472 00:23:48,960 --> 00:23:52,000 Speaker 1: have stirred a lot of interest. Now Jadvance goes on 473 00:23:52,560 --> 00:23:55,680 Speaker 1: to describe what he thinks aliens are. 474 00:23:56,200 --> 00:24:02,320 Speaker 7: Well. Look, I think that celestial beings who fly around 475 00:24:02,640 --> 00:24:06,600 Speaker 7: to do weird things to people. I think that the 476 00:24:06,720 --> 00:24:12,440 Speaker 7: desire to describe everything celestial, everything is otherworldly, to describe 477 00:24:12,440 --> 00:24:16,600 Speaker 7: it as aliens. I mean every great world religion, including Christianity, 478 00:24:16,640 --> 00:24:20,359 Speaker 7: the one that I believe in, has has understood that 479 00:24:20,560 --> 00:24:22,600 Speaker 7: there are weird things out there, and there are things 480 00:24:22,600 --> 00:24:26,080 Speaker 7: that are very difficult to explain, and I naturally go 481 00:24:26,200 --> 00:24:29,840 Speaker 7: when I hear about sort of extra natural phenomenon. 482 00:24:30,280 --> 00:24:31,199 Speaker 4: That's where I go to. 483 00:24:31,359 --> 00:24:33,719 Speaker 7: Is the Christian understanding that you know, there's a lot 484 00:24:33,800 --> 00:24:35,920 Speaker 7: of good out there, but there's also some evil out there. 485 00:24:36,240 --> 00:24:38,080 Speaker 7: And I think that one of the Devil's great tricks 486 00:24:38,119 --> 00:24:39,600 Speaker 7: is to convince people we never existed. 487 00:24:39,880 --> 00:24:42,679 Speaker 1: So this is either one of the most fascinating developments 488 00:24:42,680 --> 00:24:45,800 Speaker 1: in American political history or it's just Monday. 489 00:24:46,200 --> 00:24:47,040 Speaker 2: Probably both. 490 00:24:48,040 --> 00:24:50,640 Speaker 1: But he said weird things out there that are difficult 491 00:24:50,640 --> 00:24:54,080 Speaker 1: to explain, and you can tell that he's choosing his 492 00:24:54,200 --> 00:24:57,760 Speaker 1: words very carefully, as he typically does. He's not saying 493 00:24:57,800 --> 00:25:01,439 Speaker 1: little green men, he's not saying full demon. He's like 494 00:25:01,720 --> 00:25:06,200 Speaker 1: leaving the door open. And this with the man who's 495 00:25:06,240 --> 00:25:13,080 Speaker 1: got top secret security clearance choosing vague language is interesting 496 00:25:13,320 --> 00:25:14,000 Speaker 1: in itself. 497 00:25:14,160 --> 00:25:17,040 Speaker 3: Well, part of that, I think he's given cover to 498 00:25:17,080 --> 00:25:19,280 Speaker 3: the fact and this has been declassified and the government 499 00:25:19,359 --> 00:25:20,080 Speaker 3: is admitted to it. 500 00:25:20,160 --> 00:25:20,280 Speaker 1: That. 501 00:25:20,400 --> 00:25:22,880 Speaker 3: You know, when the UFO hysteria started in the late 502 00:25:22,960 --> 00:25:25,840 Speaker 3: forties and the fifties, the federal government kind of saw 503 00:25:25,840 --> 00:25:28,919 Speaker 3: a nice opportunity there to kind of play into that 504 00:25:29,040 --> 00:25:31,879 Speaker 3: a little bit because it gave the federal government cover 505 00:25:32,400 --> 00:25:37,000 Speaker 3: for all of these sort of black ops, new technology 506 00:25:37,080 --> 00:25:40,000 Speaker 3: things the federal government was trying to develop. And so 507 00:25:40,080 --> 00:25:42,400 Speaker 3: if all of a sudden in the seventies or early eighties, 508 00:25:42,520 --> 00:25:46,080 Speaker 3: you saw a you know, F one seventeen stealth fighter 509 00:25:46,160 --> 00:25:49,159 Speaker 3: flying above your house. It was easy for the federal 510 00:25:49,160 --> 00:25:50,800 Speaker 3: government to just kind of be like, I don't know, 511 00:25:50,920 --> 00:25:54,200 Speaker 3: might be aliens, certainly not some top secret stealth fighter 512 00:25:54,200 --> 00:25:56,280 Speaker 3: aircraft that we're working on here. So I think that 513 00:25:56,280 --> 00:25:58,240 Speaker 3: that's part of what JD has been playing into this 514 00:25:58,320 --> 00:26:01,080 Speaker 3: by saying that is saying, look, there's been things out 515 00:26:01,080 --> 00:26:03,840 Speaker 3: there that we've done that for national security reasons, we 516 00:26:03,880 --> 00:26:06,800 Speaker 3: can't let anybody know about high tech stuff that we've 517 00:26:06,880 --> 00:26:09,880 Speaker 3: been producing at the government level. And if the American 518 00:26:09,920 --> 00:26:12,040 Speaker 3: public thinks that they see one of those and they 519 00:26:12,040 --> 00:26:14,600 Speaker 3: think those are aliens, oh, that's pretty cool with us, 520 00:26:14,640 --> 00:26:16,240 Speaker 3: because then maybe we don't have to come up with 521 00:26:16,240 --> 00:26:19,040 Speaker 3: the law exactly on that. But it does seem like 522 00:26:19,080 --> 00:26:23,159 Speaker 3: we're getting to the point here where to believe that 523 00:26:23,160 --> 00:26:26,119 Speaker 3: that's the cover story for all of these things is 524 00:26:26,280 --> 00:26:28,720 Speaker 3: no longer plausible. Another big thing was last year we 525 00:26:28,760 --> 00:26:31,639 Speaker 3: had this release of that military footage and again this 526 00:26:31,760 --> 00:26:34,399 Speaker 3: was released by the federal government twenty twenty five that 527 00:26:34,600 --> 00:26:39,399 Speaker 3: showed an ORB is what they keep describing it. And 528 00:26:39,400 --> 00:26:41,640 Speaker 3: again there's a big article on this in CBS News 529 00:26:41,640 --> 00:26:43,960 Speaker 3: that this ORB was flying at an incredible rate of 530 00:26:44,000 --> 00:26:47,280 Speaker 3: speed and the US military fired a hell fire missile 531 00:26:47,320 --> 00:26:48,440 Speaker 3: at it because they didn't know what. 532 00:26:48,440 --> 00:26:50,560 Speaker 4: It was and it wasn't one of ours, and. 533 00:26:50,440 --> 00:26:53,159 Speaker 3: That missile just bounced right off of it and did nothing. 534 00:26:53,359 --> 00:26:58,560 Speaker 1: So is that an alien or is that an adversary technology? 535 00:26:58,760 --> 00:27:01,240 Speaker 3: Or is that a US tech technology? And we're just 536 00:27:01,320 --> 00:27:04,760 Speaker 3: testing how indestructible it is by sitting hell fire missiles 537 00:27:04,760 --> 00:27:05,080 Speaker 3: into it. 538 00:27:05,119 --> 00:27:06,560 Speaker 2: Now, I didn't even think of that option. 539 00:27:06,680 --> 00:27:08,400 Speaker 3: All of these are big questions. And I think what's 540 00:27:08,440 --> 00:27:11,359 Speaker 3: really interesting too, because I keep watching. There's been different 541 00:27:11,359 --> 00:27:13,920 Speaker 3: trailers that have dropped for this new Steven Spielberg movie 542 00:27:13,960 --> 00:27:16,920 Speaker 3: called Disclosure Day, and it's been it's been a long 543 00:27:17,000 --> 00:27:19,680 Speaker 3: time since I've been excited for a movie coming out 544 00:27:19,680 --> 00:27:22,080 Speaker 3: in the movie theaters, and I'm excited about this one. 545 00:27:22,160 --> 00:27:25,439 Speaker 4: And the trailer kind of plays the plot close to 546 00:27:25,480 --> 00:27:25,880 Speaker 4: the vest. 547 00:27:25,960 --> 00:27:27,720 Speaker 3: We know it has to do with aliens. We know 548 00:27:27,800 --> 00:27:29,600 Speaker 3: it has to do with, you know, the American public 549 00:27:29,640 --> 00:27:32,399 Speaker 3: becoming aware of them. But if you watch the different 550 00:27:32,440 --> 00:27:35,440 Speaker 3: trailers that are out there, it leads you to believe 551 00:27:35,840 --> 00:27:39,400 Speaker 3: that the aliens are already here and living among us. 552 00:27:39,720 --> 00:27:42,440 Speaker 3: And that's a whole nother level of conspiracy theory. 553 00:27:42,680 --> 00:27:46,399 Speaker 1: Now, you alluded to the missing scientists linked to space, 554 00:27:46,480 --> 00:27:49,399 Speaker 1: gravity and energy, and we're going to get into that 555 00:27:49,520 --> 00:27:50,159 Speaker 1: a little bit. 556 00:27:50,040 --> 00:27:51,040 Speaker 2: More coming up. 557 00:27:51,119 --> 00:27:55,320 Speaker 1: Good Joe Rogan, he has said something and it's really 558 00:27:55,359 --> 00:27:59,560 Speaker 1: interesting because he built his audience by being anti establishment, right, 559 00:28:00,080 --> 00:28:03,040 Speaker 1: and now he's punching back at the people who put 560 00:28:03,080 --> 00:28:08,240 Speaker 1: Trump in office. And he's being very contrariant because he 561 00:28:08,320 --> 00:28:13,960 Speaker 1: became mainstream and now he's criticizing the movement that embraced him. 562 00:28:14,280 --> 00:28:16,240 Speaker 2: That's like peak Joe Rogan, right. 563 00:28:16,720 --> 00:28:20,399 Speaker 1: So he was on his podcast and he called people 564 00:28:20,440 --> 00:28:27,359 Speaker 1: within the MAGA movement uninteresting, unintelligent, and even dorks. And 565 00:28:27,640 --> 00:28:31,399 Speaker 1: Kevin earned his pay on this one, getting the bleep 566 00:28:31,440 --> 00:28:34,879 Speaker 1: of button Ready, here is Joe Rogan talking about MAGA. 567 00:28:35,400 --> 00:28:38,640 Speaker 4: Oh the phrase make America great again? I don't care then. 568 00:28:38,600 --> 00:28:41,840 Speaker 8: But that phrase sucks. Here's the thing, like, first of all, 569 00:28:41,920 --> 00:28:46,880 Speaker 8: America is great. Make America greater. I'm down, but make 570 00:28:46,920 --> 00:28:49,040 Speaker 8: America great again? And then it becomes a movement of 571 00:28:49,040 --> 00:28:52,040 Speaker 8: a bunch of dorks because a lot of them are dorks. 572 00:28:52,080 --> 00:28:54,400 Speaker 4: A lot of them these really weird. 573 00:28:54,680 --> 00:28:59,520 Speaker 8: And uninteresting, unintelligent people that have got something they cling to. 574 00:29:00,000 --> 00:29:02,200 Speaker 8: There's a lot of people that are just real, genuine 575 00:29:02,240 --> 00:29:04,760 Speaker 8: patriots and they're all lumped into this one group, and 576 00:29:04,800 --> 00:29:06,200 Speaker 8: you got accept the dorks too. 577 00:29:07,080 --> 00:29:09,120 Speaker 2: That okay. 578 00:29:09,360 --> 00:29:12,480 Speaker 1: So Rogan's saying that some maga folks are genuine patriots, 579 00:29:12,480 --> 00:29:15,760 Speaker 1: but he's frustrated because they're lumped together with the more 580 00:29:15,800 --> 00:29:20,880 Speaker 1: extreme or weird version. So he just said, seventy seven 581 00:29:20,920 --> 00:29:23,400 Speaker 1: million people who voted for Trump or dorks. 582 00:29:23,520 --> 00:29:26,160 Speaker 2: That's a lot of people to be calling dorks. 583 00:29:26,440 --> 00:29:30,880 Speaker 3: Yeah, let's put Joe Rogan in perspective here. Joe Rogan 584 00:29:31,600 --> 00:29:36,000 Speaker 3: is a stand up comedian and an actor who started 585 00:29:36,120 --> 00:29:39,800 Speaker 3: doing a podcast very very early on, like the early 586 00:29:39,880 --> 00:29:43,560 Speaker 3: twenty ten's, like fifteen years ago, and he just kept 587 00:29:43,560 --> 00:29:45,280 Speaker 3: doing it and doing it and doing it and doing it, 588 00:29:45,360 --> 00:29:47,800 Speaker 3: and then all of a sudden kind of found himself 589 00:29:48,200 --> 00:29:51,200 Speaker 3: as the biggest podcaster in the world a decade later. 590 00:29:51,280 --> 00:29:52,960 Speaker 3: I think he kind of stumbled into it, and I 591 00:29:53,000 --> 00:29:54,200 Speaker 3: don't think anybody, well. 592 00:29:54,080 --> 00:29:55,280 Speaker 2: He started doing it because he. 593 00:29:55,320 --> 00:29:57,000 Speaker 3: Liked it, and I think he still does it because 594 00:29:57,000 --> 00:29:59,280 Speaker 3: he likes it. And here, so if we're looking to 595 00:29:59,400 --> 00:30:03,360 Speaker 3: Joe Rogan in for this, you know, wisdom and consistency 596 00:30:03,520 --> 00:30:05,120 Speaker 3: and core beliefs, I think we're. 597 00:30:04,960 --> 00:30:06,320 Speaker 4: Looking to the wrong person here. 598 00:30:06,880 --> 00:30:09,360 Speaker 3: Look, Joe Rogan doesn't care if you don't like him, 599 00:30:09,440 --> 00:30:11,600 Speaker 3: doesn't care if you listen to his podcast, doesn't care 600 00:30:11,600 --> 00:30:13,880 Speaker 3: if you don't listen to his podcast. He's doing it 601 00:30:13,920 --> 00:30:16,840 Speaker 3: because he enjoys it. He's made his hundreds of millions 602 00:30:16,840 --> 00:30:19,600 Speaker 3: of dollars already. He signed that massive deal with Spotify 603 00:30:19,680 --> 00:30:22,000 Speaker 3: that was, you know, well over one hundred million dollars. 604 00:30:22,120 --> 00:30:24,000 Speaker 3: He's doing it because it's fun. So I think the 605 00:30:24,080 --> 00:30:26,400 Speaker 3: concept that we should look to Joe Rogan or any 606 00:30:26,440 --> 00:30:30,640 Speaker 3: other of these kind of nouveau podcasters that have entered 607 00:30:30,640 --> 00:30:34,080 Speaker 3: the political space that aren't traditionally from that area. Look, 608 00:30:34,120 --> 00:30:36,320 Speaker 3: these guys are just doing it because it's fun, and 609 00:30:36,560 --> 00:30:38,720 Speaker 3: they're gonna say whatever's on the top of their mind 610 00:30:38,840 --> 00:30:40,960 Speaker 3: in that exact moment, and it's not always going to 611 00:30:41,000 --> 00:30:43,200 Speaker 3: be consistent with things that they've said in the past. 612 00:30:43,440 --> 00:30:45,240 Speaker 4: And we've just got to know that when we hear 613 00:30:45,280 --> 00:30:45,959 Speaker 4: stories like this. 614 00:30:46,040 --> 00:30:49,080 Speaker 1: Here's the Vice president jd Vance, and he's pushing back 615 00:30:49,120 --> 00:30:51,960 Speaker 1: at Joe Rogan for calling Maga dorks. 616 00:30:52,360 --> 00:30:53,880 Speaker 2: Joe says, magis full of dorks. 617 00:30:54,040 --> 00:30:57,600 Speaker 4: What do you think you can yourself dork magas dorks? 618 00:30:57,960 --> 00:31:01,040 Speaker 7: I think we have many, many fewer dorks than the 619 00:31:01,080 --> 00:31:03,880 Speaker 7: far left, but everybody's got some force with okay. 620 00:31:03,920 --> 00:31:05,880 Speaker 1: So I thought that was a pretty good response from him. 621 00:31:06,200 --> 00:31:08,680 Speaker 1: He's not taken the bait. He turns it into a 622 00:31:08,760 --> 00:31:12,880 Speaker 1: joke and he lands it right. And he went on 623 00:31:13,000 --> 00:31:14,840 Speaker 1: to say, and you know what, I don't. 624 00:31:14,640 --> 00:31:17,800 Speaker 2: Care if you're a dork or not. If you want 625 00:31:17,840 --> 00:31:20,160 Speaker 2: to make this a great country, we'll have you. 626 00:31:20,360 --> 00:31:21,360 Speaker 4: Yeah, you're exactly right. 627 00:31:21,360 --> 00:31:24,120 Speaker 3: That was the perfect response from jd Vance to that 628 00:31:24,200 --> 00:31:26,680 Speaker 3: Joe Rogan sentiment right there. And I think that he 629 00:31:26,760 --> 00:31:29,040 Speaker 3: brings up and let's be honest here, Joe Rogan says 630 00:31:29,120 --> 00:31:31,240 Speaker 3: nasty things about the left too all the time. I mean, 631 00:31:31,320 --> 00:31:34,160 Speaker 3: he hates the entire woke culture that has been such 632 00:31:34,160 --> 00:31:37,240 Speaker 3: a part of the liberal establishment for the last decade 633 00:31:37,320 --> 00:31:39,240 Speaker 3: or so. And I think that you got to always 634 00:31:39,280 --> 00:31:41,680 Speaker 3: keep in mind Joe Rogan's just going to say whatever 635 00:31:41,760 --> 00:31:44,000 Speaker 3: comes off the top of his head in that moment, 636 00:31:44,120 --> 00:31:45,560 Speaker 3: and that's exactly what happened here. 637 00:31:45,680 --> 00:31:47,680 Speaker 1: Jd Vance said that he was going to text him, 638 00:31:48,040 --> 00:31:51,840 Speaker 1: but he Another thing that Rogan was saying was that 639 00:31:51,960 --> 00:31:55,520 Speaker 1: he claimed that Obama and Hillary were better at deporting 640 00:31:55,560 --> 00:31:59,680 Speaker 1: illegals than Trump is and jd Vance had an answer 641 00:31:59,680 --> 00:32:00,080 Speaker 1: for that. 642 00:32:00,640 --> 00:32:01,760 Speaker 4: Here's why this is wrong. 643 00:32:02,280 --> 00:32:06,200 Speaker 7: When you look at the deportation numbers that go back 644 00:32:06,200 --> 00:32:09,760 Speaker 7: to the Obama administration, they would count somebody who showed 645 00:32:09,800 --> 00:32:12,960 Speaker 7: up at the border and they turned away as a deportation. Okay, 646 00:32:13,480 --> 00:32:15,680 Speaker 7: Now we have almost no one showing up at the 647 00:32:15,680 --> 00:32:19,680 Speaker 7: border because the border is secure. So if you have 648 00:32:19,760 --> 00:32:21,520 Speaker 7: somebody show up with the border, let them cross into 649 00:32:21,600 --> 00:32:24,680 Speaker 7: our country, provide them some free medical care and free food, 650 00:32:24,720 --> 00:32:27,640 Speaker 7: and then you send them home, that counted as a deportation. 651 00:32:28,040 --> 00:32:31,840 Speaker 7: What we're talking about is interior deportations. We're taking the 652 00:32:31,880 --> 00:32:34,280 Speaker 7: flood of people that Joe Biden led into our country 653 00:32:34,440 --> 00:32:37,560 Speaker 7: and getting them out of our country. The numbers from 654 00:32:37,720 --> 00:32:41,440 Speaker 7: the Obama administration or any other administration, they weren't doing 655 00:32:41,560 --> 00:32:44,840 Speaker 7: a tenth of what we're doing. So Joe is wrong 656 00:32:44,880 --> 00:32:48,080 Speaker 7: on this. We've been the best administration in American history 657 00:32:48,320 --> 00:32:51,800 Speaker 7: at deporting illegal aliens. The problem is we also followed 658 00:32:51,840 --> 00:32:54,080 Speaker 7: the worst administration at letting them in. 659 00:32:54,120 --> 00:32:55,120 Speaker 4: So there's a lot of work to do. 660 00:32:55,960 --> 00:33:00,760 Speaker 1: So facts matter, right, Rogan seems to be like he's 661 00:33:00,800 --> 00:33:01,840 Speaker 1: playing both sides. 662 00:33:03,240 --> 00:33:04,600 Speaker 2: He's in that zone. 663 00:33:04,400 --> 00:33:09,440 Speaker 1: Where he's going with like as you said, whatever he's 664 00:33:09,440 --> 00:33:10,320 Speaker 1: feeling in the moment. 665 00:33:10,400 --> 00:33:13,160 Speaker 3: Yeah, and that's just Joe Rogan and that's his show 666 00:33:13,240 --> 00:33:15,920 Speaker 3: and he can do that, and that's perfectly fine. 667 00:33:15,960 --> 00:33:17,280 Speaker 4: But we've just got to point that out. 668 00:33:17,320 --> 00:33:20,200 Speaker 3: I love JD's response to that, because he's right in 669 00:33:20,240 --> 00:33:22,600 Speaker 3: the way those numbers were counted. Here's the other part 670 00:33:22,640 --> 00:33:25,120 Speaker 3: that I was surprised JD didn't bring up on this, 671 00:33:25,200 --> 00:33:28,240 Speaker 3: because it's a huge part of this. What is not 672 00:33:28,360 --> 00:33:32,600 Speaker 3: reported in deportation numbers under Trump are all the self 673 00:33:32,840 --> 00:33:36,440 Speaker 3: deportations that are taking place. We have no idea how 674 00:33:36,440 --> 00:33:39,320 Speaker 3: many millions of people have said, you know what, Ice 675 00:33:39,400 --> 00:33:41,440 Speaker 3: is coming up hard and I don't want any business 676 00:33:41,520 --> 00:33:43,440 Speaker 3: of this, and I'm just gonna leave now before i 677 00:33:43,520 --> 00:33:45,360 Speaker 3: end up in a detention camp for who knows how 678 00:33:45,400 --> 00:33:47,120 Speaker 3: long and they're just going to send me back over 679 00:33:47,160 --> 00:33:52,400 Speaker 3: the border anyway. And I think it's a nonsensical argument. 680 00:33:52,440 --> 00:33:56,920 Speaker 3: To a large degree, the American people believe Donald Trump 681 00:33:57,080 --> 00:33:59,600 Speaker 3: secured the southern border and we don't have the millions 682 00:33:59,600 --> 00:34:02,960 Speaker 3: oflegal immigrants coming in anymore. And the majority of Americans 683 00:34:03,000 --> 00:34:06,520 Speaker 3: believe Donald Trump wants to and is actively trying to 684 00:34:06,600 --> 00:34:10,319 Speaker 3: deport as many illegal immigrants as possible. I don't get 685 00:34:10,320 --> 00:34:13,560 Speaker 3: this idea of anybody wanting to argue some phony Obama 686 00:34:13,680 --> 00:34:18,640 Speaker 3: and Biden numbers about deportation arguments. Believe me, Trump is 687 00:34:18,719 --> 00:34:22,399 Speaker 3: winning the illegal immigrant battle as it exists right now, 688 00:34:22,440 --> 00:34:25,480 Speaker 3: not only on the ground, but also the political battle 689 00:34:25,840 --> 00:34:29,400 Speaker 3: and the fact that people believe that Trump is shutting 690 00:34:29,400 --> 00:34:31,280 Speaker 3: down the border and deporting illegal immigrants. 691 00:34:31,400 --> 00:34:35,960 Speaker 1: So at the SEAPAC at the Conservative Political Action Conference, 692 00:34:36,400 --> 00:34:39,480 Speaker 1: Vice President Jadi Vance he won the straw pole. He's 693 00:34:39,520 --> 00:34:43,720 Speaker 1: sitting at fifty three percent, Marco Rubio at thirty five percent, 694 00:34:43,840 --> 00:34:47,840 Speaker 1: Ron DeSantis two percent, and Don Junior also at two percent. 695 00:34:48,280 --> 00:34:51,040 Speaker 1: So it is clear, according at least to this Seapack 696 00:34:51,239 --> 00:34:54,319 Speaker 1: straw pole, jd Vance is the front runner for the 697 00:34:54,360 --> 00:34:56,440 Speaker 1: twenty eight election by. 698 00:34:56,320 --> 00:34:57,120 Speaker 2: A wide margin. 699 00:34:57,480 --> 00:35:01,920 Speaker 1: However, with Rubio at thirty five percent, that's not nothing. 700 00:35:02,120 --> 00:35:03,479 Speaker 2: That's a real base as well. 701 00:35:03,719 --> 00:35:05,400 Speaker 4: It is, it's a big base. 702 00:35:05,480 --> 00:35:10,120 Speaker 3: I do not put any stock into these seapack strong 703 00:35:10,200 --> 00:35:12,480 Speaker 3: poles that come out every single time they do this 704 00:35:12,600 --> 00:35:16,440 Speaker 3: every year. They're done to garner headlines. They're really not 705 00:35:16,520 --> 00:35:20,719 Speaker 3: a good scientific poll. It's a small, tiny subset of 706 00:35:20,760 --> 00:35:25,240 Speaker 3: the Republican base. It really is is just some nice 707 00:35:25,239 --> 00:35:28,000 Speaker 3: fodder to people at SEAPAC to talk about. But I 708 00:35:28,000 --> 00:35:31,400 Speaker 3: don't put any stock into these poles, although in this 709 00:35:31,440 --> 00:35:34,239 Speaker 3: specific case, I think just the average person would sit 710 00:35:34,280 --> 00:35:37,080 Speaker 3: here and say, wow, Marco Rubio may be a pretty 711 00:35:37,080 --> 00:35:38,320 Speaker 3: good president going forward. 712 00:35:38,400 --> 00:35:40,880 Speaker 1: Well, it was actually a real win for him because 713 00:35:41,040 --> 00:35:44,240 Speaker 1: the last pole he was even lower, So he's gaining 714 00:35:44,280 --> 00:35:47,440 Speaker 1: a lot of momentum. When I said a long time ago, 715 00:35:47,760 --> 00:35:49,839 Speaker 1: we could get the tapes if I knew what date 716 00:35:49,880 --> 00:35:52,479 Speaker 1: it was, that he is the one who has shown 717 00:35:52,520 --> 00:35:54,480 Speaker 1: the most growth in his position. 718 00:35:54,280 --> 00:35:57,440 Speaker 3: Absolutely, and I think he comes across as Secretary of State. 719 00:35:57,239 --> 00:35:59,400 Speaker 4: He has been the most stately. 720 00:35:59,840 --> 00:36:01,799 Speaker 3: He has been the one that has gone on all 721 00:36:01,800 --> 00:36:04,719 Speaker 3: the Sunday talk shows and done an outstanding job and 722 00:36:04,840 --> 00:36:08,800 Speaker 3: arguing for the Trump administration's positions on everything. Yeah, Rubio 723 00:36:08,920 --> 00:36:11,360 Speaker 3: has has definitely risen among the ranks. 724 00:36:11,440 --> 00:36:13,399 Speaker 1: So we've got the best audio of the day coming 725 00:36:13,480 --> 00:36:19,759 Speaker 1: up next on ninety three WIBC. Here it is one 726 00:36:19,760 --> 00:36:23,399 Speaker 1: of the most incredible endings in NCAA attorney history. Duke 727 00:36:23,520 --> 00:36:25,880 Speaker 1: is up by two with the ball ten seconds left 728 00:36:25,920 --> 00:36:28,680 Speaker 1: on the inbounds. Pure madness, pure chaos. 729 00:36:29,040 --> 00:36:30,080 Speaker 2: Ten seconds. 730 00:36:30,120 --> 00:36:33,040 Speaker 1: This is why you love March Madness. It is your 731 00:36:33,080 --> 00:36:34,600 Speaker 1: best audio of the day. 732 00:36:35,080 --> 00:36:37,399 Speaker 4: Got it cut and run through the ball. Who better 733 00:36:37,440 --> 00:36:37,960 Speaker 4: than this guy? 734 00:36:38,080 --> 00:36:44,440 Speaker 3: Get it into political versar ahead booser, that botle stolevullins caravan. 735 00:36:44,520 --> 00:36:46,520 Speaker 4: Two seconds yous tosses it up. 736 00:36:49,960 --> 00:36:51,960 Speaker 2: We're poor U. 737 00:36:52,160 --> 00:36:53,000 Speaker 8: John goes in. 738 00:36:56,920 --> 00:37:01,280 Speaker 1: No and Duke loses and your brat it is busted. 739 00:37:01,440 --> 00:37:04,560 Speaker 3: By the way Duke was up fifteen points at halftime. 740 00:37:04,760 --> 00:37:09,400 Speaker 3: Is the first time in NCUBLEA history that a team 741 00:37:09,440 --> 00:37:11,279 Speaker 3: was up by fifteen points at half and ended up 742 00:37:11,480 --> 00:37:12,439 Speaker 3: going on to lose the game. 743 00:37:12,520 --> 00:37:14,560 Speaker 1: That's one of those highlights that's going to be around 744 00:37:14,600 --> 00:37:17,400 Speaker 1: four years and years. 745 00:37:16,560 --> 00:37:18,759 Speaker 3: Ten years from now, we'll be watching March Madness and 746 00:37:18,800 --> 00:37:21,960 Speaker 3: they'll replay that audio clip in that video from yesterday. 747 00:37:22,000 --> 00:37:24,479 Speaker 1: You had a chance to win some money, and now 748 00:37:24,560 --> 00:37:26,040 Speaker 1: that chance is god. 749 00:37:26,080 --> 00:37:27,440 Speaker 4: I had Duke winning it all. 750 00:37:27,680 --> 00:37:30,200 Speaker 2: Yeah, you're listening to Casey and Jim. It is ninety 751 00:37:30,239 --> 00:37:31,359 Speaker 2: three WIBC.