1 00:00:14,360 --> 00:00:17,520 Speaker 1: The cover up was what'll get you always the. 2 00:00:17,400 --> 00:00:22,280 Speaker 2: Cover up worse than the crime. Here's the big takeaway 3 00:00:22,280 --> 00:00:27,560 Speaker 2: in the story. It's not just about alleged misuse of funds. 4 00:00:27,680 --> 00:00:32,880 Speaker 2: It's about whether a sitting sheriff misled investigators during a probe. 5 00:00:33,520 --> 00:00:36,960 Speaker 2: And that's that's what it is, the cover up being 6 00:00:37,000 --> 00:00:39,800 Speaker 2: worse than the crime. So you've got the Dubois County Sheriff, 7 00:00:39,840 --> 00:00:44,239 Speaker 2: Tom Kleinhelter being criminally charged in Indiana. Charges include one 8 00:00:44,240 --> 00:00:48,559 Speaker 2: felon account of official misconduct, three misdemeanor counts. 9 00:00:48,159 --> 00:00:49,480 Speaker 1: Of false informing. 10 00:00:49,560 --> 00:00:53,040 Speaker 2: And it's the false informing that is getting him in 11 00:00:53,159 --> 00:00:54,040 Speaker 2: the most trouble. 12 00:00:54,360 --> 00:00:57,240 Speaker 3: Yeah, and obviously all of these allegations, these are all 13 00:00:57,280 --> 00:00:59,400 Speaker 3: just allegations right now, but it was just over a 14 00:00:59,440 --> 00:01:03,320 Speaker 3: year ago the casey. You had Doug Carter, former Indiana 15 00:01:03,320 --> 00:01:06,600 Speaker 3: State Police superintendent on this show that kind of laid 16 00:01:06,680 --> 00:01:09,600 Speaker 3: a lot of this out and talked about it in detail. 17 00:01:09,640 --> 00:01:12,600 Speaker 3: And again, these are all just allegations. 18 00:01:13,240 --> 00:01:14,839 Speaker 4: But this has been going on for a long time. 19 00:01:14,840 --> 00:01:18,240 Speaker 3: I can tell you that the du Bois County Sheriff's 20 00:01:18,280 --> 00:01:21,760 Speaker 3: office put out a press release and I think the 21 00:01:21,800 --> 00:01:23,840 Speaker 3: most interesting part of it was the very beginning where 22 00:01:23,840 --> 00:01:27,320 Speaker 3: it says today's announcement of criminal charges filed against Sheriff's 23 00:01:27,560 --> 00:01:30,360 Speaker 3: Tom Kleinhalter in Marion County came as a shock to 24 00:01:30,400 --> 00:01:33,920 Speaker 3: the sheriff and to the officers and employees of this office. 25 00:01:34,040 --> 00:01:34,280 Speaker 4: Yeah. 26 00:01:34,400 --> 00:01:35,479 Speaker 1: Why in Marin County. 27 00:01:35,520 --> 00:01:38,520 Speaker 2: Well, that's because that's where he gave the testimony. What 28 00:01:38,600 --> 00:01:42,360 Speaker 2: triggered this A twenty four Indiana State Police investigation originally 29 00:01:42,440 --> 00:01:46,680 Speaker 2: focused on questionable spending from jail commissary funds about seventy 30 00:01:46,720 --> 00:01:50,560 Speaker 2: eight thousand dollars, and the criminal chargers are specifically about 31 00:01:50,920 --> 00:01:57,080 Speaker 2: lying during the investigation, not just the spending itself. What 32 00:01:57,120 --> 00:02:01,000 Speaker 2: the prosecutors allege is that he gave false states during 33 00:02:01,040 --> 00:02:05,120 Speaker 2: a recorded interview with state police, and those statements were 34 00:02:05,160 --> 00:02:10,920 Speaker 2: allegedly contradictory by financial records and other evidence. So again, 35 00:02:11,639 --> 00:02:14,600 Speaker 2: it's the cover up being worse than the crime. If 36 00:02:14,639 --> 00:02:18,120 Speaker 2: you're asked questions, be honest, because it's only going to 37 00:02:18,200 --> 00:02:18,600 Speaker 2: get worse. 38 00:02:18,720 --> 00:02:20,799 Speaker 3: Yeah, And look the other part of the crime, the 39 00:02:20,840 --> 00:02:25,200 Speaker 3: allegations that misspending. They say that he used that money 40 00:02:25,280 --> 00:02:29,480 Speaker 3: for personal expenses, including travel to Florida, Arizona, and a 41 00:02:29,520 --> 00:02:31,440 Speaker 3: planned trip to Dubai. 42 00:02:32,000 --> 00:02:34,640 Speaker 4: Also for meals, golf and alcohol. Yeah. 43 00:02:35,040 --> 00:02:37,560 Speaker 2: So the case is filed in the Marion County Court. 44 00:02:37,880 --> 00:02:41,200 Speaker 2: Sheriff has not yet been convicted. He is also facing 45 00:02:41,240 --> 00:02:45,480 Speaker 2: a possible law enforcement certification review that could remove his 46 00:02:45,600 --> 00:02:49,000 Speaker 2: authority to serve as sheriff. Keep in mind, he is 47 00:02:49,080 --> 00:02:51,160 Speaker 2: the current sheriff. 48 00:02:50,960 --> 00:02:53,840 Speaker 3: Right He's the sitting sheriff in Dubois County. And so 49 00:02:54,000 --> 00:02:55,919 Speaker 3: this is and I think that was part of the 50 00:02:55,960 --> 00:02:58,320 Speaker 3: other part of the press release that they talked about yesterday. 51 00:02:58,440 --> 00:03:01,280 Speaker 3: You know, it's important that the city into Dubois County 52 00:03:01,440 --> 00:03:05,080 Speaker 3: continue to believe in their public servants and the Sheriff's 53 00:03:05,080 --> 00:03:07,280 Speaker 3: department is going to continue to serve and protect them 54 00:03:07,320 --> 00:03:09,400 Speaker 3: and that sort of thing, because he is the active, 55 00:03:10,280 --> 00:03:12,240 Speaker 3: active sheriff in du Bois County right now. 56 00:03:12,560 --> 00:03:12,760 Speaker 4: Yep. 57 00:03:12,880 --> 00:03:15,000 Speaker 2: So Indiana State Police doing the work that needs to 58 00:03:15,040 --> 00:03:18,799 Speaker 2: be done, and they're doing it regardless of who the 59 00:03:18,960 --> 00:03:19,760 Speaker 2: subject is. 60 00:03:20,000 --> 00:03:22,880 Speaker 1: The law is not above the law here. 61 00:03:23,040 --> 00:03:26,679 Speaker 2: You've got Mary County Prosecutor Ryan Meers talking about it. 62 00:03:26,760 --> 00:03:29,760 Speaker 5: This is from WTHR during the course of the state 63 00:03:29,800 --> 00:03:32,880 Speaker 5: police investigation. The allegation here is is that when the 64 00:03:32,919 --> 00:03:36,440 Speaker 5: sheriff was directly asked and confronted with some of these expenditures, 65 00:03:36,800 --> 00:03:39,360 Speaker 5: that the information that he gave was not truthful. That 66 00:03:39,440 --> 00:03:42,360 Speaker 5: when you have individuals who step outside of the lines 67 00:03:42,400 --> 00:03:44,680 Speaker 5: of what is permissible, it's important that there is some 68 00:03:44,800 --> 00:03:47,160 Speaker 5: level of accountability because we need to send a message 69 00:03:47,200 --> 00:03:50,200 Speaker 5: to the public that, regardless of who you are, that 70 00:03:50,320 --> 00:03:51,360 Speaker 5: you have to follow the law. 71 00:03:51,640 --> 00:03:53,600 Speaker 2: Yep, regardless of who you are. You've got a sitting 72 00:03:53,640 --> 00:03:57,600 Speaker 2: sheriff lying to state police investigators. That is a catastrophic 73 00:03:57,880 --> 00:04:02,120 Speaker 2: breach of public trust. Oh, we'll see how this lands. 74 00:04:02,200 --> 00:04:06,240 Speaker 2: This is a stay tuned situation. Today, big day for NASA. 75 00:04:07,080 --> 00:04:09,800 Speaker 2: They are warning that Artemis two's return to Earth is 76 00:04:09,880 --> 00:04:13,480 Speaker 2: the most dangerous part of their mission. Official stress there 77 00:04:13,560 --> 00:04:16,680 Speaker 2: is no plan B if something goes wrong during re entry. 78 00:04:17,200 --> 00:04:19,680 Speaker 2: The crew is now in their final phase of the mission, 79 00:04:20,120 --> 00:04:25,400 Speaker 2: re entry and splash down. And let's see here. You've 80 00:04:25,400 --> 00:04:28,400 Speaker 2: got the heat shield, which is the thermal protection system. 81 00:04:29,040 --> 00:04:33,160 Speaker 2: NASA officials say it must work perfectly, there's no backup 82 00:04:33,880 --> 00:04:38,800 Speaker 2: and engineers they did find some char loss and cracking 83 00:04:39,600 --> 00:04:43,280 Speaker 2: caused by trapped gases in the heat shield material of 84 00:04:43,400 --> 00:04:48,640 Speaker 2: the previous Artemis Artemis one. So fingers crossed and praying 85 00:04:48,839 --> 00:04:52,600 Speaker 2: that everything is perfect this time. Not only does the 86 00:04:52,640 --> 00:04:56,040 Speaker 2: heat shield have to work, they have to hit Earth's 87 00:04:56,200 --> 00:04:58,880 Speaker 2: atmosphere at the exact angle right. 88 00:04:59,279 --> 00:05:00,680 Speaker 1: There's a lot going into this. 89 00:05:00,920 --> 00:05:03,040 Speaker 3: I keep going back to the movie Apollo thirteen, which 90 00:05:03,040 --> 00:05:04,920 Speaker 3: you and I love and we've watched, you know, dozens 91 00:05:04,960 --> 00:05:07,120 Speaker 3: and dozens of times. But yeah, it does seem right 92 00:05:07,160 --> 00:05:09,640 Speaker 3: out of that because the capsule is very similar and 93 00:05:09,760 --> 00:05:12,840 Speaker 3: all our lives, you know, you and I, Casey, for 94 00:05:12,920 --> 00:05:14,960 Speaker 3: most of our lives, we've been used to the Space 95 00:05:15,000 --> 00:05:17,240 Speaker 3: Shuttle and that's what we've been used to, and it 96 00:05:17,360 --> 00:05:19,840 Speaker 3: comes in land similar to a plane on a runway 97 00:05:19,880 --> 00:05:22,160 Speaker 3: in the desert. This capsule kind of goes back to 98 00:05:22,240 --> 00:05:24,359 Speaker 3: the way things NASA did it in the sixties with the. 99 00:05:24,360 --> 00:05:27,000 Speaker 4: Apollo program, where it's this capsule. 100 00:05:26,680 --> 00:05:29,320 Speaker 3: That comes on in and it deploys parachutes and it 101 00:05:29,360 --> 00:05:32,640 Speaker 3: splashes in the ocean and then the astronauts are recovered. So, yeah, 102 00:05:32,680 --> 00:05:35,360 Speaker 3: if you seen the movie Apollo thirteen, making sure the 103 00:05:35,440 --> 00:05:37,520 Speaker 3: heat shields work, making sure they come in at the 104 00:05:37,640 --> 00:05:41,479 Speaker 3: exact exact right angle. Look, they're super nerds at NASA. 105 00:05:41,560 --> 00:05:43,760 Speaker 3: They're way smarter than me that do all the math 106 00:05:43,839 --> 00:05:46,320 Speaker 3: to figure all this out. And we've got our fingers crossed. 107 00:05:46,360 --> 00:05:49,080 Speaker 3: They're expecting splash down just after eight o'clock Eastern time 108 00:05:49,160 --> 00:05:51,880 Speaker 3: this evening in the Pacific Ocean, just off of the 109 00:05:51,960 --> 00:05:52,920 Speaker 3: coast of San Diego. 110 00:05:53,080 --> 00:05:55,640 Speaker 2: NASA saying that the mission has already been a success 111 00:05:55,720 --> 00:05:59,080 Speaker 2: so far, but everything now hinges on surviving the thirteen 112 00:05:59,160 --> 00:06:03,200 Speaker 2: minutes of re entry, and it's not about reaching the Moon. 113 00:06:03,640 --> 00:06:06,680 Speaker 2: It's about getting home through one of the most extreme 114 00:06:06,960 --> 00:06:10,240 Speaker 2: environments humans have ever endured. 115 00:06:10,880 --> 00:06:13,440 Speaker 1: You've got a lot of engineering. 116 00:06:13,320 --> 00:06:18,560 Speaker 2: In all of this, the crew NOS, NASA, Nose America, NOS. 117 00:06:18,720 --> 00:06:20,640 Speaker 2: And now we all hold our breath and we trust 118 00:06:20,680 --> 00:06:23,680 Speaker 2: that the engineering works, and we pray for the people 119 00:06:23,800 --> 00:06:25,560 Speaker 2: inside that capsule that they can. 120 00:06:25,600 --> 00:06:29,320 Speaker 1: Return home to Earth exactly in the same shape that 121 00:06:29,400 --> 00:06:29,880 Speaker 1: they left. 122 00:06:30,400 --> 00:06:32,680 Speaker 2: Did you see that there was an expert Now, I 123 00:06:32,760 --> 00:06:34,960 Speaker 2: know we talked about one of the things that actually 124 00:06:35,120 --> 00:06:38,920 Speaker 2: wasn't working was the toilet. But did you see that 125 00:06:39,040 --> 00:06:43,000 Speaker 2: the experts were warning the crew not to fart while 126 00:06:43,200 --> 00:06:47,240 Speaker 2: they were up in space, And it was because of 127 00:06:47,320 --> 00:06:51,120 Speaker 2: the different gases, the methane and the hydrogen gas. 128 00:06:51,480 --> 00:06:52,880 Speaker 1: They could be flammable. 129 00:06:53,800 --> 00:06:57,120 Speaker 2: I mean, we're talking about one big fart that could 130 00:06:57,160 --> 00:06:59,000 Speaker 2: really be putting them in a situation. 131 00:06:59,480 --> 00:07:02,240 Speaker 3: I don't know, maybe the human part of the space 132 00:07:02,360 --> 00:07:05,599 Speaker 3: mission is always the most difficult one, because you're right. Yeah, 133 00:07:05,680 --> 00:07:07,880 Speaker 3: it was a lot of talk about the toilet being broken, 134 00:07:08,080 --> 00:07:10,320 Speaker 3: and then they fixed it, but then they broke again 135 00:07:10,400 --> 00:07:12,200 Speaker 3: and one of the astronauts had to you know, pee 136 00:07:12,320 --> 00:07:14,440 Speaker 3: in a bag, and that was their backup. And now 137 00:07:14,480 --> 00:07:16,760 Speaker 3: we had this report yesterday of experts saying, hey, you 138 00:07:16,840 --> 00:07:19,120 Speaker 3: got to watch your farts up there, because you know, 139 00:07:19,240 --> 00:07:22,080 Speaker 3: you've got like methane and hydrogen going around and that 140 00:07:22,200 --> 00:07:23,680 Speaker 3: could be a dangerous combination. 141 00:07:23,840 --> 00:07:26,400 Speaker 4: You don't want to, you know, blow the spaceship up 142 00:07:26,440 --> 00:07:27,200 Speaker 4: with your farts. 143 00:07:27,280 --> 00:07:29,600 Speaker 3: I thought this was and this was a widely reported 144 00:07:29,680 --> 00:07:31,600 Speaker 3: story yesterday, like this is not a joke. 145 00:07:31,760 --> 00:07:33,720 Speaker 4: This is a serious issue that they have to deal with. 146 00:07:34,000 --> 00:07:36,240 Speaker 3: I don't know if they had to manage what the 147 00:07:36,360 --> 00:07:39,000 Speaker 3: astronauts were eating, like, yes, they do, they do. 148 00:07:39,280 --> 00:07:43,520 Speaker 2: NASA manages their diet and they have to avoid high 149 00:07:43,600 --> 00:07:47,480 Speaker 2: gas foods like beans and cabbage. Another thing that I 150 00:07:47,600 --> 00:07:49,520 Speaker 2: learned that they do with their food while they're up 151 00:07:49,560 --> 00:07:53,640 Speaker 2: there is the astronauts went up there with five different sauces, 152 00:07:54,040 --> 00:07:55,000 Speaker 2: like hot sauces. 153 00:07:55,200 --> 00:07:58,080 Speaker 1: Oh nice, because their taste. 154 00:07:57,840 --> 00:08:01,720 Speaker 2: Buds start to change while they're in space, and sometimes 155 00:08:01,800 --> 00:08:04,920 Speaker 2: they lose their appetite. So NASA make sure that they 156 00:08:05,000 --> 00:08:07,640 Speaker 2: have a lot of different flavor profiles to send up 157 00:08:08,000 --> 00:08:11,160 Speaker 2: to encourage them to eat, because they kind of have 158 00:08:11,320 --> 00:08:13,520 Speaker 2: to force them to do it while they're in space. 159 00:08:13,640 --> 00:08:16,880 Speaker 2: They're not really interested in eating. They're like, nope, you 160 00:08:17,000 --> 00:08:20,200 Speaker 2: gotta eat, just apparently not beans in cabbage. 161 00:08:20,280 --> 00:08:23,160 Speaker 4: Can you can you imagine? I mean, so many jokes, Houston, 162 00:08:23,240 --> 00:08:25,280 Speaker 4: we have a problem. Is it the heat shield? No, 163 00:08:25,600 --> 00:08:31,400 Speaker 4: it's greg. It was silent, but defically and you're in 164 00:08:31,440 --> 00:08:32,200 Speaker 4: a tight space. 165 00:08:32,400 --> 00:08:34,640 Speaker 1: So not only is everybody knows who dealt in it, 166 00:08:34,880 --> 00:08:35,480 Speaker 1: not only is. 167 00:08:35,520 --> 00:08:39,000 Speaker 3: This a safety issue, but you've got a common courtesy issue. 168 00:08:39,040 --> 00:08:41,959 Speaker 3: I mean, that capsule is tiny, You're crammed in there 169 00:08:42,040 --> 00:08:43,920 Speaker 3: with several other astronauts. 170 00:08:44,040 --> 00:08:44,760 Speaker 4: I mean, think about it. 171 00:08:44,800 --> 00:08:48,000 Speaker 3: It's like somebody ripping one in an elevator just completely 172 00:08:48,040 --> 00:08:50,080 Speaker 3: would clear and gross everybody else in there. 173 00:08:49,960 --> 00:08:53,360 Speaker 2: Out Somewhere, you had an engineer who wrote up a 174 00:08:53,440 --> 00:08:59,600 Speaker 2: technical report about astronaut flatulence during re entry, and then 175 00:08:59,640 --> 00:09:03,880 Speaker 2: it was peer reviewed and then filed with everybody at NASA. 176 00:09:04,040 --> 00:09:07,160 Speaker 2: I mean, imagine that person's career is wildly more interesting 177 00:09:07,520 --> 00:09:12,120 Speaker 2: than anything happening in some corporate job or corporate office. 178 00:09:12,240 --> 00:09:14,679 Speaker 1: Right now, you got to respect that work. Did we 179 00:09:14,840 --> 00:09:18,199 Speaker 1: get the fart report? I need that. Give me the 180 00:09:18,320 --> 00:09:20,400 Speaker 1: deck on the astronauts' farts, please, I. 181 00:09:20,480 --> 00:09:23,559 Speaker 3: Need your best scientists on this right now. No, that engineer, 182 00:09:23,679 --> 00:09:26,920 Speaker 3: he's probably got it on his LinkedIn profile. Fart mitigation 183 00:09:27,160 --> 00:09:28,360 Speaker 3: specialist for NASA. 184 00:09:29,320 --> 00:09:31,599 Speaker 1: It's got some big, big wording for it. 185 00:09:31,760 --> 00:09:35,440 Speaker 3: Not sure how I can take that to another industry NASA. 186 00:09:35,480 --> 00:09:38,199 Speaker 3: It seems like a pretty specialized skill set to be 187 00:09:38,280 --> 00:09:41,679 Speaker 3: a fart mitigation specialist. If you lose that job in NASA, 188 00:09:41,800 --> 00:09:44,000 Speaker 3: good luck getting where you know, a job somewhere else. 189 00:09:44,800 --> 00:09:48,400 Speaker 2: So you've also got the NASA playlist of wake up 190 00:09:48,480 --> 00:09:52,559 Speaker 2: songs that was released. It's a tradition that NASA has 191 00:09:52,640 --> 00:09:55,719 Speaker 2: been doing in all of their flights. They actually get 192 00:09:55,880 --> 00:09:59,480 Speaker 2: sent music into the capsule and that is what wakes 193 00:09:59,600 --> 00:10:02,920 Speaker 2: them up every morning, and michig Control plays a song, 194 00:10:03,480 --> 00:10:07,760 Speaker 2: and the astronauts actually got to choose the music that 195 00:10:07,920 --> 00:10:08,920 Speaker 2: they wanted played. 196 00:10:09,040 --> 00:10:37,439 Speaker 1: Here was one of the songs. And then at some 197 00:10:37,600 --> 00:10:40,280 Speaker 1: point they come on and they talk to the crew 198 00:10:40,360 --> 00:10:42,880 Speaker 1: and they say, you know, wakey Wakey eggs and baky 199 00:10:43,000 --> 00:10:45,920 Speaker 1: here it is? I think was that it Kevin? Yeah, 200 00:10:45,960 --> 00:10:47,679 Speaker 1: they come on and they make an announcement, so they'll 201 00:10:47,720 --> 00:10:49,960 Speaker 1: play like another great day on your voyage. 202 00:10:50,400 --> 00:10:53,760 Speaker 3: Canadians everywhere are inspired by your journey and we're with 203 00:10:53,960 --> 00:10:55,760 Speaker 3: you every step of the way. Let's go. 204 00:10:57,080 --> 00:10:58,920 Speaker 2: Yeah. So they'll play about a minute of the song 205 00:10:59,040 --> 00:11:02,200 Speaker 2: and then they on the calm and wake them up, 206 00:11:02,360 --> 00:11:04,200 Speaker 2: Rise and Shine astronauts. 207 00:11:04,440 --> 00:11:06,800 Speaker 3: Much better to wake up to Queen and David Bowie 208 00:11:06,880 --> 00:11:09,920 Speaker 3: singing under pressure than my alarm, which is the default 209 00:11:10,120 --> 00:11:15,520 Speaker 3: iPhone alarm. Every time I hear that noise like literally 210 00:11:15,600 --> 00:11:17,599 Speaker 3: shakes my spine. But that's the type of thing that 211 00:11:17,760 --> 00:11:19,599 Speaker 3: I need to wake up. I can't wake up to 212 00:11:19,640 --> 00:11:22,040 Speaker 3: a song I enjoy. I just stay out and hang 213 00:11:22,080 --> 00:11:24,800 Speaker 3: out in bed. No, I need something that shocks the system, 214 00:11:24,840 --> 00:11:26,920 Speaker 3: that actually forces me to get out of bed. 215 00:11:27,200 --> 00:11:29,679 Speaker 2: So the songs on the playlist were a mixture of 216 00:11:30,000 --> 00:11:33,200 Speaker 2: modern pop, R and B and classic rock. I really 217 00:11:33,280 --> 00:11:35,760 Speaker 2: only recognized a couple other songs on the list. The 218 00:11:35,880 --> 00:11:40,079 Speaker 2: other one that I recognized was Chapelon's Pink Pony Club. 219 00:11:40,800 --> 00:11:43,320 Speaker 3: But the other that's it Pink Pony Club. That's one 220 00:11:43,360 --> 00:11:45,720 Speaker 3: of the songs that NASA used to wake them up. 221 00:11:46,360 --> 00:11:49,800 Speaker 3: Pink Pony Club, a song about a strip club and 222 00:11:49,920 --> 00:11:52,720 Speaker 3: a woman working at a strip club, is a song 223 00:11:52,800 --> 00:11:54,760 Speaker 3: that NASA used to wake the astronauts. 224 00:11:54,840 --> 00:11:57,760 Speaker 1: Astronauts got to pick their own song. 225 00:11:58,280 --> 00:12:01,000 Speaker 2: Look that it keeps them on a stacked daily schedule, 226 00:12:01,040 --> 00:12:04,160 Speaker 2: and it boosts their morale and mental wellbeing. Hey, if 227 00:12:04,200 --> 00:12:07,479 Speaker 2: that is what somebody is listening to on their own playlist, 228 00:12:07,760 --> 00:12:09,679 Speaker 2: why wouldn't they want to listen to it in space. 229 00:12:10,080 --> 00:12:13,160 Speaker 3: Look, I'm big a fan of Pink Pony Club as 230 00:12:13,160 --> 00:12:15,559 Speaker 3: anybody else. It's a banger. I enjoy that song. It 231 00:12:15,640 --> 00:12:17,800 Speaker 3: just seems a little odd for NASA to be using 232 00:12:17,840 --> 00:12:19,120 Speaker 3: it to wake up the astronauts. 233 00:12:19,280 --> 00:12:21,720 Speaker 2: So as the crew makes their way back home to Earth, 234 00:12:22,240 --> 00:12:25,920 Speaker 2: the astronaut Christina Kanaj says she will miss the camaraderie 235 00:12:26,000 --> 00:12:26,360 Speaker 2: the most. 236 00:12:26,760 --> 00:12:30,959 Speaker 6: I will miss this camaraderie. I will miss being this 237 00:12:31,120 --> 00:12:34,640 Speaker 6: close with this many people and having a common purpose, 238 00:12:34,880 --> 00:12:37,160 Speaker 6: a common mission, getting to work on it hard at 239 00:12:37,240 --> 00:12:41,480 Speaker 6: heart every day across hundreds of thousands of miles with 240 00:12:41,559 --> 00:12:44,920 Speaker 6: a team on the ground. This sense of teamwork is 241 00:12:45,360 --> 00:12:48,520 Speaker 6: something that you don't usually get like as an adult. 242 00:12:48,600 --> 00:12:52,679 Speaker 6: I mean, we are close like brothers and sisters, and 243 00:12:54,200 --> 00:12:56,640 Speaker 6: that is a privilege we will never have again. I 244 00:12:56,760 --> 00:12:59,600 Speaker 6: have to say, I don't think there's anything I would 245 00:12:59,600 --> 00:13:02,480 Speaker 6: say I won't miss or that I'm just ready to 246 00:13:02,559 --> 00:13:07,000 Speaker 6: be over, because this whole thing is a package. We 247 00:13:07,120 --> 00:13:11,400 Speaker 6: can't explore deeper unless we are doing a few things 248 00:13:11,440 --> 00:13:14,280 Speaker 6: that are inconvenient, unless we're making a few sacrifices, unless 249 00:13:14,360 --> 00:13:16,920 Speaker 6: we're taking a few risks, and those things are all 250 00:13:17,000 --> 00:13:17,280 Speaker 6: worth it. 251 00:13:18,320 --> 00:13:21,640 Speaker 2: Yeah, she just said something that most people don't get 252 00:13:21,640 --> 00:13:25,760 Speaker 2: to experience once they leave school or military, that deep 253 00:13:26,000 --> 00:13:29,800 Speaker 2: camaraderie with other humans outside of your family, like just 254 00:13:30,000 --> 00:13:32,640 Speaker 2: you know, your coworkers or friends. 255 00:13:32,880 --> 00:13:34,680 Speaker 4: I think we cut that clip off a little early 256 00:13:34,679 --> 00:13:35,679 Speaker 4: because she changed her mind. 257 00:13:35,760 --> 00:13:38,160 Speaker 3: She said, there actually is one thing I won't miss, 258 00:13:38,480 --> 00:13:41,440 Speaker 3: and that's Greg ripping them after eating broccoli and beans 259 00:13:41,559 --> 00:13:43,880 Speaker 3: last night. And it's like the space vergin of a 260 00:13:44,000 --> 00:13:46,040 Speaker 3: Dutch oven up there in that capsule. That is a 261 00:13:46,160 --> 00:13:48,880 Speaker 3: tiny little space. And thank goodness that they've got some 262 00:13:49,040 --> 00:13:51,360 Speaker 3: sort of you know, fart mitigation system. 263 00:13:51,440 --> 00:13:51,560 Speaker 7: Right. 264 00:13:51,640 --> 00:13:53,199 Speaker 2: I'm surprised she didn't say, you know what, I'm not 265 00:13:53,280 --> 00:13:55,440 Speaker 2: going to miss being in this capsule with. 266 00:13:55,520 --> 00:13:56,600 Speaker 1: These stinky boy. 267 00:13:56,840 --> 00:13:59,920 Speaker 4: Can you imagine what that capsule smells like? No shower 268 00:14:00,320 --> 00:14:02,719 Speaker 4: with four other people. For ten straight days. 269 00:14:03,240 --> 00:14:06,400 Speaker 1: You're listening to Casey and Jim. It is ninety three WYBC. 270 00:14:11,960 --> 00:14:15,040 Speaker 2: You bought the house, you paid the mortgage, you thought 271 00:14:15,120 --> 00:14:20,120 Speaker 2: you owned it. The dream of paying off your house 272 00:14:20,160 --> 00:14:23,080 Speaker 2: and owning it free and clear is being eroded by 273 00:14:23,240 --> 00:14:28,280 Speaker 2: assessment increases that aren't tied to any service improvement. There's 274 00:14:28,320 --> 00:14:30,600 Speaker 2: a new report that came out property taxes in the 275 00:14:30,720 --> 00:14:34,400 Speaker 2: United States rising in many area due to inflation and 276 00:14:34,560 --> 00:14:38,680 Speaker 2: higher home values. And at this point, property taxes are 277 00:14:38,880 --> 00:14:41,760 Speaker 2: rising faster than inflation. 278 00:14:42,320 --> 00:14:44,960 Speaker 4: Yeah, we've seen that, and it makes sense if you 279 00:14:45,040 --> 00:14:45,520 Speaker 4: think about it. 280 00:14:45,680 --> 00:14:48,600 Speaker 3: It sucks, but it makes sense because property taxes are 281 00:14:48,600 --> 00:14:50,720 Speaker 3: always tied to the value of your house. We know 282 00:14:50,880 --> 00:14:53,400 Speaker 3: the value of homes in this country has gone through 283 00:14:53,480 --> 00:14:57,160 Speaker 3: the roof and certainly outpaced the rate of inflation. So 284 00:14:57,320 --> 00:14:59,800 Speaker 3: because your property taxes go up and down with your 285 00:14:59,840 --> 00:15:02,240 Speaker 3: home value, yeah, it makes sense that you're going to 286 00:15:02,320 --> 00:15:05,880 Speaker 3: see a higher than inflation increase in your property taxes. 287 00:15:05,960 --> 00:15:08,360 Speaker 3: It's awful, it's terrible, and it's something that we're not 288 00:15:08,520 --> 00:15:10,440 Speaker 3: just dealing with here in the state of Indiana. This 289 00:15:10,600 --> 00:15:13,080 Speaker 3: was a national story and talked about how the property 290 00:15:13,160 --> 00:15:15,560 Speaker 3: tax issue is hitting everybody in the entire country. 291 00:15:15,840 --> 00:15:16,000 Speaker 8: Yep. 292 00:15:16,120 --> 00:15:18,480 Speaker 2: So you've got higher home values, which is going to 293 00:15:18,520 --> 00:15:22,200 Speaker 2: equal higher tax assessments. You've got inflation, higher tax rates, 294 00:15:22,240 --> 00:15:26,000 Speaker 2: and also higher public costs. So property tax increases sneaky 295 00:15:26,040 --> 00:15:28,960 Speaker 2: as form of inflation because they feel like a fixed 296 00:15:29,040 --> 00:15:34,520 Speaker 2: cost until suddenly they're not. And then states can't control spending, 297 00:15:35,120 --> 00:15:38,840 Speaker 2: so they find property assessment as the pressure relief valve. 298 00:15:38,960 --> 00:15:40,800 Speaker 1: Isn't that nice of them to turn that on? 299 00:15:41,160 --> 00:15:41,360 Speaker 2: Yeah? 300 00:15:41,440 --> 00:15:44,760 Speaker 1: Now we that's your money floating out the window. 301 00:15:44,920 --> 00:15:46,880 Speaker 3: Yeah, it's all of our money. We just got our 302 00:15:46,960 --> 00:15:49,320 Speaker 3: property taxes over the weekend. I got the email from 303 00:15:49,360 --> 00:15:53,160 Speaker 3: the Marion County Assessor's office and our property taxes. I 304 00:15:53,240 --> 00:15:55,440 Speaker 3: feel like I'm lucky. We were about flat from where 305 00:15:55,480 --> 00:15:57,800 Speaker 3: we were last year, which now that's on the heels 306 00:15:57,840 --> 00:16:00,800 Speaker 3: of a seventeen percent increase the year before and a 307 00:16:00,880 --> 00:16:03,600 Speaker 3: twelve percent increase the year before that. So we've certainly 308 00:16:03,640 --> 00:16:06,200 Speaker 3: taken it on the chin, not nearly as bad as others. 309 00:16:06,280 --> 00:16:08,520 Speaker 3: We've heard plenty of reports of people seeing their property 310 00:16:08,560 --> 00:16:11,520 Speaker 3: taxes going up, you know, twenty and thirty percent a year, 311 00:16:11,800 --> 00:16:15,000 Speaker 3: and so how awful of a situation are we in 312 00:16:15,240 --> 00:16:16,400 Speaker 3: where I sit here and I look. 313 00:16:16,320 --> 00:16:17,280 Speaker 4: At our property taxes. 314 00:16:17,360 --> 00:16:20,560 Speaker 3: This is after the property tax bill that was signed 315 00:16:20,640 --> 00:16:22,640 Speaker 3: last year that was supposed to save the average person 316 00:16:22,720 --> 00:16:25,160 Speaker 3: three hundred dollars. We didn't end up saving three hundred 317 00:16:25,160 --> 00:16:29,800 Speaker 3: dollars this year. But I guess let's go. I yes, 318 00:16:30,120 --> 00:16:30,760 Speaker 3: we're flat. 319 00:16:31,120 --> 00:16:33,440 Speaker 1: How you opened the bill and you're like, oh, thank 320 00:16:33,480 --> 00:16:34,440 Speaker 1: god it didn't go up. 321 00:16:34,760 --> 00:16:38,000 Speaker 2: I mean, that's the expectation, right, Well, it went up 322 00:16:38,040 --> 00:16:39,160 Speaker 2: the two previous years. 323 00:16:39,280 --> 00:16:41,080 Speaker 3: Well, and thank god it didn't go up fifteen or 324 00:16:41,120 --> 00:16:43,560 Speaker 3: twenty percent like it had the two previous years. 325 00:16:43,600 --> 00:16:44,280 Speaker 4: That's what it was. 326 00:16:44,440 --> 00:16:46,840 Speaker 3: It's this sigh of relief that, oh, it's the same 327 00:16:46,880 --> 00:16:49,920 Speaker 3: as it was last year. Wait a minute, last year sucked. 328 00:16:50,000 --> 00:16:52,160 Speaker 3: Last year the taxes were way too high. And now 329 00:16:52,200 --> 00:16:54,560 Speaker 3: you've tricked me into being happy that they're just as 330 00:16:54,600 --> 00:16:55,920 Speaker 3: crappy as they were last year. 331 00:16:56,160 --> 00:16:57,560 Speaker 1: So let me ask you this. Do you feel like 332 00:16:57,600 --> 00:17:00,480 Speaker 1: you're getting a better service in there in the city. 333 00:17:00,760 --> 00:17:01,600 Speaker 4: Of course not no. 334 00:17:01,920 --> 00:17:03,880 Speaker 3: And that casey, that goes back to what we keep 335 00:17:03,920 --> 00:17:06,280 Speaker 3: talking about on the show. I think, yes, we're all 336 00:17:06,359 --> 00:17:08,600 Speaker 3: upset that life is unaffordable. Yes, we're upset that our 337 00:17:08,640 --> 00:17:11,520 Speaker 3: taxes keep going up. But what is really so frustrating 338 00:17:11,560 --> 00:17:13,879 Speaker 3: about all of this is it does not seem that 339 00:17:13,960 --> 00:17:17,240 Speaker 3: we're getting value. Look if our schools were, you know, 340 00:17:17,520 --> 00:17:21,320 Speaker 3: at the top, and our students were performing spectacularly, I'd 341 00:17:21,359 --> 00:17:24,159 Speaker 3: say you at least have some solace and go, okay, fine, 342 00:17:24,640 --> 00:17:25,919 Speaker 3: we're at least getting something up. 343 00:17:26,119 --> 00:17:29,040 Speaker 4: We have this gas tax, fifth highest gas tax in 344 00:17:29,080 --> 00:17:29,400 Speaker 4: the nation. 345 00:17:29,640 --> 00:17:32,080 Speaker 3: If we had these beautiful roads and all these interstates 346 00:17:32,119 --> 00:17:34,320 Speaker 3: over the state and say, okay, we're getting something. I 347 00:17:34,680 --> 00:17:36,880 Speaker 3: hate that we're the fifth highest gas tax in the nation, 348 00:17:37,119 --> 00:17:39,160 Speaker 3: but at least we're getting something out of our roads. 349 00:17:39,200 --> 00:17:40,280 Speaker 4: Now, no, you're not, we're not. 350 00:17:40,440 --> 00:17:44,440 Speaker 3: It seems like we're not getting anything for these horrible 351 00:17:45,720 --> 00:17:46,880 Speaker 3: it's a terrible deal. 352 00:17:46,960 --> 00:17:48,439 Speaker 4: Why are we doing that? Box? 353 00:17:48,760 --> 00:17:52,160 Speaker 2: Yeah, Texas no longer the number one state that Americans 354 00:17:52,160 --> 00:17:54,720 Speaker 2: are moving to. A new report came out and it 355 00:17:54,840 --> 00:17:58,480 Speaker 2: said that there's another state that's top of the inbound 356 00:17:58,680 --> 00:17:59,600 Speaker 2: migration list. 357 00:17:59,680 --> 00:18:00,520 Speaker 1: You want to guess what it is. 358 00:18:00,640 --> 00:18:01,440 Speaker 4: Yeah, let's play a game. 359 00:18:01,480 --> 00:18:03,560 Speaker 1: I'm gonna I'm gonna give you a hint right off 360 00:18:03,600 --> 00:18:03,880 Speaker 1: the bat. 361 00:18:04,000 --> 00:18:06,359 Speaker 3: Oh, so it's not obviously that means it's not one 362 00:18:06,440 --> 00:18:08,520 Speaker 3: of the typical ones that I would expect. 363 00:18:08,600 --> 00:18:10,879 Speaker 1: Do you do you want to hint? Are you just 364 00:18:10,920 --> 00:18:11,480 Speaker 1: going to go for it? 365 00:18:11,720 --> 00:18:13,560 Speaker 4: You actually, you actually gave me a hint. 366 00:18:13,600 --> 00:18:15,480 Speaker 3: So if it's not a typical one that I'm going 367 00:18:15,520 --> 00:18:17,560 Speaker 3: to take out Tennessee, I'm gonna take out Florida, because 368 00:18:17,560 --> 00:18:19,639 Speaker 3: those are the big three states that have been getting all. 369 00:18:19,640 --> 00:18:22,240 Speaker 2: Florida's still rising, but it's not the number one state 370 00:18:22,600 --> 00:18:23,399 Speaker 2: people are moving to. 371 00:18:23,640 --> 00:18:25,680 Speaker 3: And you know what the coincidence is, but the big 372 00:18:25,760 --> 00:18:28,720 Speaker 3: three in recent years have been Texas, Florida, and Tennessee. 373 00:18:29,119 --> 00:18:32,840 Speaker 3: No coincidence. All three of those states have zero incomes, 374 00:18:33,119 --> 00:18:35,640 Speaker 3: zero state income. Texas, so I will guess it will 375 00:18:35,760 --> 00:18:37,160 Speaker 3: be North Carolina. 376 00:18:38,240 --> 00:18:40,639 Speaker 2: North Carolina is on the list of growing, so is 377 00:18:40,760 --> 00:18:44,399 Speaker 2: South Carolina, so is Montana, and Florida. As I mentioned, 378 00:18:44,440 --> 00:18:46,680 Speaker 2: I'm going to give you a hint. Okay, this state 379 00:18:47,200 --> 00:18:53,159 Speaker 2: begins with an eye. However, it is not Indiana Idaho. 380 00:18:53,520 --> 00:18:53,720 Speaker 1: Yeah. 381 00:18:53,920 --> 00:18:57,119 Speaker 3: Yeah, that's a lot of people fleeing high taxes in California. 382 00:18:57,200 --> 00:18:58,040 Speaker 4: Ye've been driven by. 383 00:18:58,080 --> 00:19:00,919 Speaker 1: Jobs, lower taxes, and affordability. 384 00:19:01,440 --> 00:19:05,239 Speaker 2: And isn't that interesting You've got I mean, geographically, it's 385 00:19:05,280 --> 00:19:07,680 Speaker 2: a big state population wise, not as. 386 00:19:07,640 --> 00:19:09,400 Speaker 4: Much absolute beautiful state. 387 00:19:09,440 --> 00:19:11,400 Speaker 3: I've been to Idaho for work a couple of times, 388 00:19:11,480 --> 00:19:13,480 Speaker 3: been to Boise, and it is it is, you know, 389 00:19:13,920 --> 00:19:15,639 Speaker 3: right there on the ridge of the Rocky Mountains and 390 00:19:15,760 --> 00:19:20,760 Speaker 3: just an absolutely gorgeous, beautiful state. Lots of you know, camping, fishing, hunting, hiking. 391 00:19:20,960 --> 00:19:22,560 Speaker 3: A great outdoor state in Idaho. 392 00:19:22,920 --> 00:19:26,040 Speaker 2: Another state that is having some issues of its own, 393 00:19:26,840 --> 00:19:32,280 Speaker 2: West Virginia. West Virginia now has their electric bills that 394 00:19:32,440 --> 00:19:37,320 Speaker 2: are more expensive than their mortgage. Can you imagine you're 395 00:19:37,400 --> 00:19:41,240 Speaker 2: paying more in energy in West Virginia than your house. 396 00:19:41,640 --> 00:19:42,840 Speaker 4: Yeah, I think too. 397 00:19:42,960 --> 00:19:46,439 Speaker 1: And that's that's a state that produces coal and gas 398 00:19:47,000 --> 00:19:48,200 Speaker 1: for the rest of the country. 399 00:19:48,440 --> 00:19:51,280 Speaker 3: Yeah, I think that's a combination for starters. West Virginia 400 00:19:51,359 --> 00:19:53,960 Speaker 3: homes are pretty darn cheap. They're always near, you know, 401 00:19:54,240 --> 00:19:56,399 Speaker 3: one of the lowest cost of living states, and so 402 00:19:56,480 --> 00:19:58,520 Speaker 3: your mortgages are going to be less there to start with. 403 00:19:58,960 --> 00:20:01,600 Speaker 3: And then everybody's atergy costs are rising around the country, 404 00:20:01,640 --> 00:20:04,560 Speaker 3: even in you know, massive energy producing states like West Virginia. 405 00:20:05,359 --> 00:20:07,200 Speaker 4: I went down a rabbit hole. I love a good 406 00:20:07,280 --> 00:20:08,400 Speaker 4: YouTube rabbit hole. 407 00:20:09,000 --> 00:20:10,720 Speaker 3: Find something you're watching, and all of a sudden you 408 00:20:10,760 --> 00:20:14,200 Speaker 3: click on some I watched a thirty minute piece about 409 00:20:14,280 --> 00:20:19,360 Speaker 3: how West Virginia, the reason why it struggles economically so much, 410 00:20:19,880 --> 00:20:22,840 Speaker 3: has has nothing to do with anything except its geography. 411 00:20:23,240 --> 00:20:26,399 Speaker 1: It's not the state, it's not the law for the 412 00:20:26,520 --> 00:20:27,000 Speaker 1: most part. 413 00:20:27,080 --> 00:20:29,480 Speaker 3: Now, obviously other things can contribute to it, but it's 414 00:20:29,520 --> 00:20:32,159 Speaker 3: really the geography. It is the only state that is 415 00:20:32,280 --> 00:20:35,800 Speaker 3: fully contained within the Appalachian Mountains. So the entire state 416 00:20:35,840 --> 00:20:37,920 Speaker 3: of West Virginia is in the Appalachian Mountains, and that 417 00:20:38,080 --> 00:20:41,160 Speaker 3: keeps it Because there's no flat land, you can't really 418 00:20:41,200 --> 00:20:44,600 Speaker 3: build these big cities that create industry, that create jobs 419 00:20:44,680 --> 00:20:47,439 Speaker 3: and businesses. Most of the state is built on well 420 00:20:47,520 --> 00:20:50,719 Speaker 3: now tourisms, but then also mining, but that's only been 421 00:20:50,760 --> 00:20:52,480 Speaker 3: able to take the state so far. And in fact, 422 00:20:52,840 --> 00:20:56,200 Speaker 3: most of the big cities in West Virginia are built 423 00:20:56,200 --> 00:20:59,160 Speaker 3: along rivers, and they're not built like a typical city 424 00:20:59,200 --> 00:21:01,360 Speaker 3: where you've got this city center and then things grow 425 00:21:01,400 --> 00:21:04,320 Speaker 3: out from that outright, they're just lined along the banks 426 00:21:04,359 --> 00:21:06,600 Speaker 3: of the river. And so really it's it's you know, 427 00:21:06,640 --> 00:21:09,080 Speaker 3: a lot of people give West Virginia a hard time 428 00:21:09,119 --> 00:21:11,800 Speaker 3: because it is such a poorly performing state economically, but 429 00:21:11,840 --> 00:21:13,800 Speaker 3: it's really no fault of their own and almost one 430 00:21:13,880 --> 00:21:17,439 Speaker 3: hundred percent due to the fact of their geography. 431 00:21:16,960 --> 00:21:19,520 Speaker 1: The mountains, and that's not something you can change. 432 00:21:19,560 --> 00:21:21,480 Speaker 4: And that's absolutely not something you can change. 433 00:21:21,480 --> 00:21:23,600 Speaker 3: It doesn't make sense to, you know, level out a 434 00:21:23,720 --> 00:21:26,960 Speaker 3: mountain or some massive hill and then build your factories there, 435 00:21:27,000 --> 00:21:29,080 Speaker 3: because you'll never the cost of doing that would be, 436 00:21:29,400 --> 00:21:31,360 Speaker 3: you know, so over the top, you'd never get your money. 437 00:21:31,400 --> 00:21:33,359 Speaker 2: They've got a really long time to get anywhere in 438 00:21:33,440 --> 00:21:35,960 Speaker 2: West Virginia because you're always winding around a mountain. 439 00:21:36,080 --> 00:21:39,200 Speaker 1: Yeah, you can literally live like ten you're on seventy 440 00:21:39,560 --> 00:21:40,080 Speaker 1: cutting through. 441 00:21:40,240 --> 00:21:41,280 Speaker 4: You can live ten. 442 00:21:41,240 --> 00:21:44,359 Speaker 3: Miles away from somebody as the crofile flies, and it 443 00:21:44,400 --> 00:21:46,640 Speaker 3: can take in ninety minutes to get there because you've 444 00:21:46,640 --> 00:21:48,359 Speaker 3: got to go south of this river and find a 445 00:21:48,440 --> 00:21:50,359 Speaker 3: bridge and then go over this ridge of the mountain 446 00:21:50,400 --> 00:21:52,040 Speaker 3: and come back around the other way just to get 447 00:21:52,040 --> 00:21:52,600 Speaker 3: where you're going. 448 00:21:52,880 --> 00:21:56,120 Speaker 1: Well, they've got really expensive energy there. I wonder if 449 00:21:56,280 --> 00:22:00,199 Speaker 1: their governor will declare an energy crisis and. 450 00:22:00,240 --> 00:22:02,639 Speaker 4: Maybe cut their gas, gas sales taxes. 451 00:22:02,760 --> 00:22:05,760 Speaker 1: Probably prefer their electric bill to be cut. 452 00:22:06,760 --> 00:22:09,280 Speaker 4: Yeah, maybe cut the most states impose a sales tax 453 00:22:09,320 --> 00:22:10,200 Speaker 4: on your electric. 454 00:22:09,920 --> 00:22:12,320 Speaker 1: Bill as well, you're listening to Casey and Jim. It 455 00:22:12,440 --> 00:22:24,600 Speaker 1: is ninety three WIBC. If you're a. 456 00:22:24,680 --> 00:22:28,000 Speaker 2: Parent of a son who is approaching the age of eighteen, 457 00:22:29,080 --> 00:22:33,080 Speaker 2: your spidey senses might have start tingling when you heard 458 00:22:33,160 --> 00:22:36,240 Speaker 2: this news. But this is one of those changes that 459 00:22:36,400 --> 00:22:40,280 Speaker 2: sounds bigger than it is. It's just automating registration. It 460 00:22:40,480 --> 00:22:44,800 Speaker 2: isn't a draft, it's just government cleaning up its own 461 00:22:44,880 --> 00:22:45,919 Speaker 2: paperwork system. 462 00:22:46,359 --> 00:22:47,120 Speaker 1: Let's be clear. 463 00:22:47,400 --> 00:22:54,320 Speaker 2: This is buatic, bureaucratic modernization, not a policy shift towards conscription. 464 00:22:54,920 --> 00:22:57,800 Speaker 1: Does not change the fact there is currently no draft. 465 00:22:57,920 --> 00:23:01,639 Speaker 1: Let me say that again. This does not change the 466 00:23:01,760 --> 00:23:05,240 Speaker 1: fact that there is currently no draft. 467 00:23:05,720 --> 00:23:09,760 Speaker 2: So what we have here is the Selective Secret Service 468 00:23:09,840 --> 00:23:14,639 Speaker 2: System saying that starting in December of this year, if 469 00:23:14,680 --> 00:23:17,840 Speaker 2: you're between the ages of eighteen and twenty five, you're 470 00:23:17,840 --> 00:23:21,359 Speaker 2: already legally required to register yourselves. But what the Selective 471 00:23:21,440 --> 00:23:24,200 Speaker 2: Service System is going to do is they're going to 472 00:23:24,359 --> 00:23:26,600 Speaker 2: automatically register you. 473 00:23:27,240 --> 00:23:31,159 Speaker 1: The federal governments taking that job off your hands. 474 00:23:31,359 --> 00:23:31,560 Speaker 4: Yeah. 475 00:23:32,000 --> 00:23:34,000 Speaker 3: I remember when I turned eighteen, and you know, my 476 00:23:34,119 --> 00:23:35,920 Speaker 3: dad served in the military. He was in the Navy 477 00:23:36,000 --> 00:23:38,600 Speaker 3: for twenty one years, so we were certainly a military family. 478 00:23:38,680 --> 00:23:40,800 Speaker 3: But it was a big deal when you turned eighteen 479 00:23:40,880 --> 00:23:42,680 Speaker 3: that you got to go register for the draft. 480 00:23:42,720 --> 00:23:43,760 Speaker 1: Did you do it at a post office? 481 00:23:43,840 --> 00:23:45,119 Speaker 3: Yeah, I did it in a post office. But I 482 00:23:45,200 --> 00:23:47,720 Speaker 3: remember talking to my buddies about it too. I don't 483 00:23:47,760 --> 00:23:50,159 Speaker 3: remember any I don't remember if there were penalties if 484 00:23:50,200 --> 00:23:52,240 Speaker 3: you didn't do it. But at the time, and I 485 00:23:52,320 --> 00:23:54,159 Speaker 3: was a dumb kid eighteen years old, I don't know. 486 00:23:54,240 --> 00:23:56,119 Speaker 3: My parents are telling me to do this, my buddies 487 00:23:56,160 --> 00:23:57,639 Speaker 3: are all talking about it. I guess I got to 488 00:23:57,680 --> 00:23:58,960 Speaker 3: go down and do it. And so you go down 489 00:23:59,000 --> 00:24:00,840 Speaker 3: to the post office, you read for the draft, and 490 00:24:01,040 --> 00:24:03,560 Speaker 3: then you never think about it again. But now the 491 00:24:03,640 --> 00:24:06,840 Speaker 3: government is doing it automatically to all men who turn 492 00:24:07,000 --> 00:24:10,920 Speaker 3: age of eighteen. This has been just a huge gift 493 00:24:11,160 --> 00:24:12,399 Speaker 3: to conspiracy theorists. 494 00:24:12,480 --> 00:24:13,560 Speaker 4: Conspiracy theorists. 495 00:24:13,840 --> 00:24:17,600 Speaker 3: Another one is born Love Love, Love Love this story 496 00:24:17,680 --> 00:24:20,600 Speaker 3: because of course they're going to extrapolate this into oh, 497 00:24:20,680 --> 00:24:22,880 Speaker 3: you know what's coming next. They're going to bring back 498 00:24:22,920 --> 00:24:25,760 Speaker 3: the draft, the Warren Iran. That's just the start of it. 499 00:24:25,920 --> 00:24:28,200 Speaker 3: Next comes bringing back the draft. That's not what this 500 00:24:28,400 --> 00:24:31,480 Speaker 3: is about. This is just about automating processes. 501 00:24:31,680 --> 00:24:34,160 Speaker 2: And though it does make you question, though, because they're 502 00:24:34,160 --> 00:24:40,560 Speaker 2: automating draft registration while simultaneously deploying troops in the Middle East, 503 00:24:41,119 --> 00:24:43,680 Speaker 2: it does make you what's going on there. 504 00:24:44,080 --> 00:24:47,720 Speaker 3: Look, I get that we currently live in the golden 505 00:24:47,840 --> 00:24:51,879 Speaker 3: age of conspiracy theories because too many of them turned 506 00:24:51,880 --> 00:24:54,800 Speaker 3: out to have come true. I get that, but I 507 00:24:55,520 --> 00:24:57,960 Speaker 3: can't keep up with all of them. I'm exhausted with 508 00:24:58,119 --> 00:25:00,800 Speaker 3: conspiracy theories, whether it's what's going going on with Iran 509 00:25:00,920 --> 00:25:04,040 Speaker 3: and Israel, or aliens coming in from outer space, or 510 00:25:04,080 --> 00:25:06,840 Speaker 3: all the conspiracy theories around COVID. And now I've got 511 00:25:06,880 --> 00:25:09,760 Speaker 3: a draft conspiracy theory that I need to read up on. 512 00:25:10,200 --> 00:25:11,760 Speaker 4: I think I'm just going to sit this one out. 513 00:25:11,800 --> 00:25:13,240 Speaker 4: I can't keep up with all of them anymore. 514 00:25:13,400 --> 00:25:16,640 Speaker 2: Okay, so this is not a return of the draft itself. 515 00:25:17,200 --> 00:25:20,520 Speaker 2: The US has not had an active draft since nineteen 516 00:25:20,720 --> 00:25:24,880 Speaker 2: seventy three, end of the Vietnam War era. You've got 517 00:25:25,359 --> 00:25:30,320 Speaker 2: the US still has an all volunteer military. A real 518 00:25:30,480 --> 00:25:36,160 Speaker 2: draft would require congressional approval and presidential authorization. 519 00:25:36,400 --> 00:25:38,920 Speaker 1: And we know that Congress can't get anything done. 520 00:25:39,240 --> 00:25:42,840 Speaker 4: So, right, do you realize then you're going to. 521 00:25:42,880 --> 00:25:46,000 Speaker 1: Get congressional approval of a draft done quickly. 522 00:25:46,359 --> 00:25:49,399 Speaker 2: No. The government says they're just building a more complete 523 00:25:49,520 --> 00:25:53,280 Speaker 2: database of eligible individuals. But if they can do that, 524 00:25:53,840 --> 00:25:57,920 Speaker 2: can't they get all legal Americans registered to vote simultaneously? 525 00:25:58,720 --> 00:26:00,159 Speaker 1: How can they do that but not the. 526 00:26:00,200 --> 00:26:04,240 Speaker 3: Other it's the government. Yeah, that's the answer to that question. 527 00:26:04,280 --> 00:26:05,800 Speaker 3: All right, Casey, I'm going to put you on the spot. 528 00:26:06,000 --> 00:26:07,720 Speaker 1: Oh did I register for a draft? 529 00:26:07,880 --> 00:26:07,920 Speaker 2: No? 530 00:26:08,040 --> 00:26:12,320 Speaker 3: Because you're an your woman? But should women turn eighteen 531 00:26:12,880 --> 00:26:14,480 Speaker 3: automatically be included in this? 532 00:26:14,640 --> 00:26:15,359 Speaker 1: Yeah, I'm okay with that. 533 00:26:15,560 --> 00:26:18,440 Speaker 3: You're totally okay with women you having to register for 534 00:26:18,520 --> 00:26:19,439 Speaker 3: selective service? 535 00:26:20,000 --> 00:26:20,720 Speaker 1: I'm okay with that. 536 00:26:21,119 --> 00:26:22,800 Speaker 4: Yeah, I'd be okay with it too. It seems right. 537 00:26:22,840 --> 00:26:25,160 Speaker 3: In fact, I'm actually kind of surprised that nobody's brought 538 00:26:25,280 --> 00:26:29,000 Speaker 3: lawsuits for this, and with this change in the process, 539 00:26:29,200 --> 00:26:31,600 Speaker 3: it wouldn't surprise me if somebody does bring a lawsuit 540 00:26:31,640 --> 00:26:34,960 Speaker 3: against this and saying, hey, you're obviously discriminating against men 541 00:26:35,119 --> 00:26:37,720 Speaker 3: by only requiring men to be part of this. Why 542 00:26:37,760 --> 00:26:38,680 Speaker 3: aren't women part of it? 543 00:26:39,080 --> 00:26:41,760 Speaker 2: So there is a new study that said gen Z 544 00:26:42,000 --> 00:26:46,119 Speaker 2: speaking of young men turning eighteen. Gen Z's sentiment towards 545 00:26:46,280 --> 00:26:51,400 Speaker 2: artificial intelligence has shifted in the last year, with teens 546 00:26:51,480 --> 00:26:55,760 Speaker 2: and twenty somethings less excited about the tech. In fact, 547 00:26:56,480 --> 00:27:00,880 Speaker 2: they're not only less excited about it, they're getting angry 548 00:27:01,440 --> 00:27:04,800 Speaker 2: about it. They've got a lot of anger and skepticism 549 00:27:05,280 --> 00:27:10,040 Speaker 2: towards AI as AI is rising, and that anchor is 550 00:27:10,240 --> 00:27:15,120 Speaker 2: probably coming from them becoming more informed about it well 551 00:27:15,160 --> 00:27:17,800 Speaker 2: the fact that all the data centers are popping up 552 00:27:18,359 --> 00:27:21,760 Speaker 2: and what it could be potentially doing to their future 553 00:27:21,880 --> 00:27:23,080 Speaker 2: employment as well. 554 00:27:23,880 --> 00:27:26,280 Speaker 3: Yeah, and we see this anecdotally with our daughter who's 555 00:27:26,359 --> 00:27:29,200 Speaker 3: gen Z and her friends, and she hates it and 556 00:27:29,280 --> 00:27:31,840 Speaker 3: all her friends do too. In fact, they, you know, 557 00:27:32,200 --> 00:27:35,960 Speaker 3: whenever they see commercials or advertisements where the graphic or 558 00:27:36,080 --> 00:27:39,719 Speaker 3: video has clearly been generated via AI. There's a lot 559 00:27:39,760 --> 00:27:43,639 Speaker 3: of outrage on that. Some artists, authors, this has been 560 00:27:43,640 --> 00:27:47,080 Speaker 3: a big thing. The book publishers have started using AI 561 00:27:47,400 --> 00:27:50,560 Speaker 3: to generate the cover artwork for their books, and apparently 562 00:27:50,600 --> 00:27:53,879 Speaker 3: in the book community community, that's a big scandal and 563 00:27:53,960 --> 00:27:56,800 Speaker 3: they don't want AI invading any part of their life 564 00:27:56,840 --> 00:27:58,880 Speaker 3: in any aspect of it. And I'm sure the fact 565 00:27:58,920 --> 00:28:01,680 Speaker 3: that everybody is screaming doom and gloom and how AI 566 00:28:01,840 --> 00:28:04,399 Speaker 3: is going to take over everybody's jobs and gen Z 567 00:28:04,600 --> 00:28:07,679 Speaker 3: certainly has the longest part of their careers ahead of them. 568 00:28:07,880 --> 00:28:09,480 Speaker 4: That's got to be a factor into this as well. 569 00:28:09,520 --> 00:28:11,080 Speaker 2: A lot of them believe that AI is going to 570 00:28:11,160 --> 00:28:14,840 Speaker 2: hurt critical thinking and learning, no kidding, it will also 571 00:28:15,200 --> 00:28:20,440 Speaker 2: replace or weaken creativity. They see art as being replaced, 572 00:28:20,720 --> 00:28:24,000 Speaker 2: real art made by humans being replaced, like you mentioned 573 00:28:24,280 --> 00:28:28,280 Speaker 2: not only book covers but also album covers, and even 574 00:28:28,800 --> 00:28:33,199 Speaker 2: their music is being replaced by AI instead of real humans. 575 00:28:33,920 --> 00:28:35,920 Speaker 3: So you had that story in the last week about 576 00:28:35,960 --> 00:28:38,400 Speaker 3: how on the country charts on Spotify right now, three 577 00:28:38,640 --> 00:28:40,520 Speaker 3: of the top five, three out of the top five 578 00:28:40,640 --> 00:28:43,360 Speaker 3: songs are AI artists with AI generated songs. 579 00:28:43,480 --> 00:28:46,480 Speaker 2: It's interesting, though, because the generation is kind of split. 580 00:28:46,720 --> 00:28:49,600 Speaker 2: They are a walking contradiction, because you've got a lot 581 00:28:49,680 --> 00:28:55,000 Speaker 2: of gen Z saying no, we're rejecting AI, we're dismissive 582 00:28:55,080 --> 00:28:59,600 Speaker 2: of the tech industry. However, they're also the group that 583 00:28:59,720 --> 00:29:03,600 Speaker 2: has highest usage, So you've got half of them saying 584 00:29:03,960 --> 00:29:07,680 Speaker 2: no to AI and the other embracing it and using 585 00:29:07,760 --> 00:29:10,680 Speaker 2: it the most out of any other generational group. 586 00:29:10,840 --> 00:29:14,800 Speaker 3: Yeah, it's a polarizing subject, and I get it, and 587 00:29:14,920 --> 00:29:17,760 Speaker 3: I understand why people don't like AI. And let's let's 588 00:29:17,760 --> 00:29:20,080 Speaker 3: set the data centers aside, because that's kind of a separate, 589 00:29:20,400 --> 00:29:22,200 Speaker 3: you know, part of it, but kind of a separate 590 00:29:22,280 --> 00:29:24,760 Speaker 3: issue on associated with this. I understand there are a 591 00:29:24,800 --> 00:29:26,720 Speaker 3: lot of fears about AI and a lot of concerns 592 00:29:26,760 --> 00:29:29,200 Speaker 3: about AI, and a lot of people don't like AI, 593 00:29:30,120 --> 00:29:33,480 Speaker 3: but that doesn't change the fact that the AI revolution 594 00:29:33,880 --> 00:29:36,960 Speaker 3: is coming and it's coming very quickly. So I get 595 00:29:37,000 --> 00:29:39,960 Speaker 3: frustrated when I always hear people about AI. I'm not 596 00:29:40,080 --> 00:29:43,760 Speaker 3: participating in that. Oh really, you're not going to participate 597 00:29:43,800 --> 00:29:45,440 Speaker 3: in that? Are you the same person that was like, yeah, 598 00:29:45,440 --> 00:29:47,520 Speaker 3: I'm not going to participate in the Internet back in 599 00:29:47,560 --> 00:29:49,840 Speaker 3: the late nineties. Yeah, the Internet was coming whether you 600 00:29:49,920 --> 00:29:51,920 Speaker 3: wanted it or not. So are you going to get 601 00:29:52,000 --> 00:29:53,880 Speaker 3: left behind? Or are you going to figure out how 602 00:29:53,960 --> 00:29:57,560 Speaker 3: you can turn AI into something that is useful to society. 603 00:29:58,280 --> 00:30:00,479 Speaker 2: So you've got about fifty one percent son of gen 604 00:30:00,640 --> 00:30:03,680 Speaker 2: Z say they use AI at least weekly, twenty two 605 00:30:03,800 --> 00:30:08,440 Speaker 2: percent say they use it daily. I used it yesterday. Yeah, 606 00:30:08,600 --> 00:30:09,360 Speaker 2: I did something. 607 00:30:09,840 --> 00:30:14,720 Speaker 1: There's a new app and it is called Suno and 608 00:30:15,120 --> 00:30:16,160 Speaker 1: it creates music. 609 00:30:16,880 --> 00:30:19,160 Speaker 4: Oh did you make an AI song? I did? 610 00:30:19,960 --> 00:30:22,719 Speaker 1: And I was because it kept popping up on all 611 00:30:22,800 --> 00:30:25,000 Speaker 1: my social media feeds, and I was like, what is this? 612 00:30:25,320 --> 00:30:27,960 Speaker 2: So I went to the app and I did a 613 00:30:28,000 --> 00:30:30,680 Speaker 2: little learning, and it's the sort of thing where you 614 00:30:30,880 --> 00:30:35,480 Speaker 2: can type in text whatever you want and within a 615 00:30:35,600 --> 00:30:39,400 Speaker 2: matter of seconds, and I'm talking like fifteen seconds, boom, 616 00:30:39,520 --> 00:30:40,760 Speaker 2: it'll pop out a song. OK. 617 00:30:40,880 --> 00:30:43,400 Speaker 3: So it's similar to chat GPT, where you give it 618 00:30:43,480 --> 00:30:46,080 Speaker 3: a prompt, you tell it what you want, and then 619 00:30:46,200 --> 00:30:48,400 Speaker 3: very quickly it delivers on what you want. Normally, in 620 00:30:48,480 --> 00:30:51,120 Speaker 3: chat GPT, you're just looking for some information, but in 621 00:30:51,200 --> 00:30:53,200 Speaker 3: this you're telling it, hey, make a song. 622 00:30:53,520 --> 00:30:54,520 Speaker 4: Like this about this. 623 00:30:55,240 --> 00:30:58,760 Speaker 2: So I prompted it to make a song about the 624 00:30:59,120 --> 00:31:05,080 Speaker 2: suspension of Indiana's gas use tax. And all I told it, 625 00:31:05,280 --> 00:31:08,520 Speaker 2: I said, make a rock song about this, and this 626 00:31:09,240 --> 00:31:12,360 Speaker 2: was Indiana has become the latest state to suspend at 627 00:31:12,400 --> 00:31:16,240 Speaker 2: seven percent gasoline tax as Governor Brown seeks relief for 628 00:31:16,280 --> 00:31:20,400 Speaker 2: Hoosiers facing rising fuel prices tied to the conflict and Iran. 629 00:31:21,640 --> 00:31:24,440 Speaker 1: And within fifteen seconds, it popped out this. 630 00:31:27,600 --> 00:31:30,080 Speaker 4: Nice guitar rock song that it was. 631 00:31:30,120 --> 00:31:36,520 Speaker 7: The prompts Sacaglie today, same old stationed by the highway, 632 00:31:37,720 --> 00:31:41,600 Speaker 7: grass flingers fall, a little bit guy on the news, 633 00:31:41,840 --> 00:31:46,120 Speaker 7: calls it a win fleas Hot in the de Win 634 00:31:47,240 --> 00:31:50,960 Speaker 7: the Scaggle and grace again you have a neo green 635 00:31:51,160 --> 00:31:52,040 Speaker 7: on the TV. 636 00:31:52,000 --> 00:31:54,920 Speaker 1: Screen about one free of. 637 00:31:58,440 --> 00:31:59,200 Speaker 8: Gasoline and. 638 00:32:09,640 --> 00:32:24,160 Speaker 4: Wow in the dust. 639 00:32:26,240 --> 00:32:28,760 Speaker 1: Okay, so what do you think of the song? It 640 00:32:28,880 --> 00:32:29,920 Speaker 1: even gave it a title? 641 00:32:30,360 --> 00:32:32,680 Speaker 4: Oh yeah, what was the wait? You didn't prompt it 642 00:32:32,760 --> 00:32:34,840 Speaker 4: for a title, prompted it for a title. 643 00:32:34,880 --> 00:32:37,240 Speaker 2: It just spit went out and they named it gasoline 644 00:32:37,280 --> 00:32:37,920 Speaker 2: and promises. 645 00:32:38,760 --> 00:32:44,360 Speaker 3: Uh look, I'm gonna I'm sure I'll get roasted in 646 00:32:44,440 --> 00:32:46,920 Speaker 3: the YouTube comments for what I'm about to say. 647 00:32:46,960 --> 00:32:50,520 Speaker 4: Are you about to say not bad? You like bad song? 648 00:32:50,680 --> 00:32:50,960 Speaker 2: Kevin? 649 00:32:51,040 --> 00:32:55,000 Speaker 1: Did you Kevin? You are a musician? Did you hate that? 650 00:32:55,160 --> 00:32:58,040 Speaker 1: Did you think it was Nickelback like? Or are you like, no, 651 00:32:58,160 --> 00:32:58,920 Speaker 1: that's kind of a jam? 652 00:32:59,440 --> 00:32:59,480 Speaker 2: No? 653 00:32:59,600 --> 00:33:01,800 Speaker 7: I thought it was really catchy, but you know, music 654 00:33:01,880 --> 00:33:04,360 Speaker 7: comes from the soul, I think, AI. 655 00:33:05,840 --> 00:33:07,640 Speaker 1: No kidding? But what wait? 656 00:33:07,720 --> 00:33:10,000 Speaker 4: Can we stop with the Nickelback hate? Waited? 657 00:33:10,280 --> 00:33:13,240 Speaker 3: Did you just pretty much give an analogy that Nickelback 658 00:33:13,360 --> 00:33:14,800 Speaker 3: is pretty much the same as Ai. 659 00:33:16,200 --> 00:33:16,800 Speaker 4: I'm saying, I. 660 00:33:16,840 --> 00:33:20,520 Speaker 1: Will not I founded a little a little Nickelback like. 661 00:33:20,680 --> 00:33:25,840 Speaker 3: I will not sit here and let you slandering name 662 00:33:25,920 --> 00:33:27,880 Speaker 3: of nickel the band Nickelback. 663 00:33:28,000 --> 00:33:28,680 Speaker 4: They rocket. 664 00:33:28,840 --> 00:33:31,480 Speaker 3: Me and Nigel might be the only Nickelback fans left 665 00:33:31,520 --> 00:33:33,640 Speaker 3: in the world, but we're proud Nickelback supporters. 666 00:33:33,880 --> 00:33:36,760 Speaker 2: So here's the interesting thing about this app that I mentioned. 667 00:33:36,800 --> 00:33:40,760 Speaker 2: It's called Suno, and they've been in negotiations with some 668 00:33:41,280 --> 00:33:45,840 Speaker 2: of the top record labels over talks over this AI 669 00:33:46,120 --> 00:33:51,200 Speaker 2: generated music. It's becoming a real issue for the real 670 00:33:51,360 --> 00:33:52,280 Speaker 2: record labels. 671 00:33:52,760 --> 00:33:54,640 Speaker 3: You know, we we we thought, remember back in the 672 00:33:54,760 --> 00:33:57,320 Speaker 3: nineties when Napster came out and everybody's like, oh, free 673 00:33:57,440 --> 00:33:59,840 Speaker 3: music sharing, this is the end of the music industry. 674 00:33:59,880 --> 00:34:02,080 Speaker 3: And then the music industry figured it out and iTunes 675 00:34:02,120 --> 00:34:04,120 Speaker 3: came out and everybody got paid and that sort of thing. 676 00:34:05,320 --> 00:34:07,640 Speaker 4: This may be the end of the music industry. 677 00:34:07,560 --> 00:34:07,960 Speaker 2: You think. 678 00:34:08,040 --> 00:34:10,960 Speaker 1: So when you've got like, like we mentioned, three out 679 00:34:10,960 --> 00:34:15,319 Speaker 1: of the top five songs in the iTunes country. 680 00:34:15,040 --> 00:34:17,960 Speaker 3: Chart are currently AI generated songs. And you made that 681 00:34:18,160 --> 00:34:21,120 Speaker 3: with about you know, three lines of a text prompt 682 00:34:21,520 --> 00:34:22,120 Speaker 3: and that crank. 683 00:34:22,200 --> 00:34:24,520 Speaker 2: You know what I did. I went to Twitter and 684 00:34:24,680 --> 00:34:27,600 Speaker 2: I copied someone's post and put that in a different 685 00:34:27,640 --> 00:34:30,880 Speaker 2: I didn't even write that myself, I just copied it. 686 00:34:31,239 --> 00:34:34,960 Speaker 1: Put it into Sunu Suno and boom, it spit. 687 00:34:34,840 --> 00:34:37,160 Speaker 2: Out that song. It even gave me like an album 688 00:34:37,280 --> 00:34:41,640 Speaker 2: cover for the song. It did everything in literally less 689 00:34:41,800 --> 00:34:42,320 Speaker 2: than a minute. 690 00:34:42,400 --> 00:34:45,000 Speaker 3: Now see, I'm I do a pretty good job of 691 00:34:45,080 --> 00:34:47,160 Speaker 3: being able to recognize when I see an image or 692 00:34:47,200 --> 00:34:49,759 Speaker 3: a video and being able to discern whether or not 693 00:34:49,840 --> 00:34:52,000 Speaker 3: it's real or AI. If you had played that song 694 00:34:52,080 --> 00:34:53,600 Speaker 3: for me and been like, Hey, check out this new 695 00:34:53,640 --> 00:34:55,200 Speaker 3: song I heard, I would have been like, that's pretty 696 00:34:55,239 --> 00:34:57,880 Speaker 3: cool those song. I wouldn't have had any idea that 697 00:34:58,040 --> 00:35:01,200 Speaker 3: that was AI generated. There's no clues when listening to 698 00:35:01,280 --> 00:35:03,239 Speaker 3: it and picking up trying to discern and trying to 699 00:35:03,239 --> 00:35:04,359 Speaker 3: pick up all this is fake. 700 00:35:04,480 --> 00:35:05,040 Speaker 8: This is AI. 701 00:35:05,480 --> 00:35:06,839 Speaker 4: That sounds like a real song. 702 00:35:07,320 --> 00:35:11,000 Speaker 2: So I did another one, and I was talking about 703 00:35:11,239 --> 00:35:15,360 Speaker 2: I ran in oil and China and it named it 704 00:35:15,520 --> 00:35:18,600 Speaker 2: Oil on the Table. And then at that point I 705 00:35:18,800 --> 00:35:20,800 Speaker 2: was like, Okay, I gotta put it. I got to 706 00:35:20,840 --> 00:35:23,399 Speaker 2: give it a rest, and so I prompted it one 707 00:35:23,520 --> 00:35:27,080 Speaker 2: last time my third song, and I just said, write 708 00:35:27,080 --> 00:35:29,840 Speaker 2: a song about being stressed out by the news, and 709 00:35:30,200 --> 00:35:31,960 Speaker 2: the title of the song that it came up with 710 00:35:32,360 --> 00:35:33,920 Speaker 2: was turn off the News. 711 00:35:35,360 --> 00:35:38,879 Speaker 4: Okay, pretty much on these a little bit on the nose. 712 00:35:38,960 --> 00:35:42,479 Speaker 4: But look, that's not a terrible song. I'm to walk away, 713 00:35:42,680 --> 00:35:43,960 Speaker 4: Gasolina promises. 714 00:35:44,200 --> 00:35:48,480 Speaker 1: Gasolina promises. You're listening to Casey and Jim. It's ninety 715 00:35:48,520 --> 00:35:49,879 Speaker 1: three w IBC. 716 00:35:54,680 --> 00:35:54,719 Speaker 2: N. 717 00:35:56,200 --> 00:35:59,919 Speaker 1: Did you hear this? It is time for the Beast. 718 00:36:00,000 --> 00:36:03,680 Speaker 1: He's the audio of the day and today, believe it 719 00:36:03,800 --> 00:36:07,560 Speaker 1: or not, it features Hunter Biden. 720 00:36:08,280 --> 00:36:11,239 Speaker 8: Hey, guys, Hunter Biden here. I just got a call 721 00:36:11,400 --> 00:36:14,800 Speaker 8: from Andrew Callahan. He asked me to come out on 722 00:36:14,920 --> 00:36:17,439 Speaker 8: the Channel five Carnival tour at the end of the month. 723 00:36:18,239 --> 00:36:20,920 Speaker 8: I think we start in Phoenix and then we go 724 00:36:20,960 --> 00:36:25,680 Speaker 8: to San Diego and we end in Albuquerque, and I 725 00:36:25,800 --> 00:36:29,720 Speaker 8: think he's trying to organize a cage match me versus 726 00:36:30,120 --> 00:36:33,800 Speaker 8: Eric and Don Junior. I told him I'd do it 727 00:36:34,200 --> 00:36:36,399 Speaker 8: one hundred percent in if you can pull it off, 728 00:36:36,840 --> 00:36:40,239 Speaker 8: and if you can't, I'm still coming. And I think 729 00:36:40,280 --> 00:36:42,280 Speaker 8: he's got a lot of other surprises up his sleeve, 730 00:36:42,840 --> 00:36:45,279 Speaker 8: a lot of fun and I hope I can see 731 00:36:45,320 --> 00:36:48,359 Speaker 8: you guys out there. You can get tickets online right 732 00:36:48,440 --> 00:36:50,799 Speaker 8: now and I'll see out on tour. 733 00:36:51,280 --> 00:36:55,799 Speaker 2: So Andrew Calligan is a YouTuber, conservative influencer, and you've 734 00:36:55,840 --> 00:36:59,320 Speaker 2: got Hunter Biden there challenging Eric Trump and Don Junior 735 00:36:59,400 --> 00:37:02,040 Speaker 2: to a cage match. Did you notice the part he said, 736 00:37:02,120 --> 00:37:04,480 Speaker 2: Even if they don't agree, I'm still coming. So what, 737 00:37:04,600 --> 00:37:06,880 Speaker 2: it's just going to be Hunter Biden in a cage 738 00:37:07,239 --> 00:37:09,000 Speaker 2: in his underwear by himself. 739 00:37:09,160 --> 00:37:11,320 Speaker 4: I feel like that line from Dumb and Dumber. Just 740 00:37:11,480 --> 00:37:16,000 Speaker 4: when I think you can't be any stupider than you are, 741 00:37:16,440 --> 00:37:17,920 Speaker 4: you do something like this. 742 00:37:18,640 --> 00:37:22,200 Speaker 3: And totally redeem yourself. I would be honest, maybe the 743 00:37:22,280 --> 00:37:24,840 Speaker 3: best idea Hunter Biden's ever had. Now that's a pretty 744 00:37:24,880 --> 00:37:27,839 Speaker 3: low bar, but still a great idea. I'm all down 745 00:37:28,120 --> 00:37:32,120 Speaker 3: for a Hunter Biden versus Donald Trump Junior cage match, 746 00:37:32,520 --> 00:37:34,960 Speaker 3: just like the UFC event this summer. Do it on 747 00:37:35,080 --> 00:37:37,040 Speaker 3: the lawn of the White House. I don't care how 748 00:37:37,120 --> 00:37:39,520 Speaker 3: much they charge for pay per view. I'd be buying 749 00:37:39,560 --> 00:37:40,680 Speaker 3: it and would love every minute. 750 00:37:40,880 --> 00:37:44,640 Speaker 2: A media driven political spectacle, that's what you've got. So 751 00:37:44,760 --> 00:37:49,480 Speaker 2: you're blending some internet influencer culture with the ongoing Biden 752 00:37:49,600 --> 00:37:52,400 Speaker 2: Trump family rivalry narrative. 753 00:37:52,840 --> 00:37:56,360 Speaker 1: I can't imagine Hunter Biden is. 754 00:37:56,440 --> 00:37:59,800 Speaker 2: In any sort of physical shape to do a cage 755 00:38:00,120 --> 00:38:04,080 Speaker 2: match at all. I mean, he's freshly pardon he's legally cleared, 756 00:38:04,560 --> 00:38:09,120 Speaker 2: apparently feeling good enough to do a cage match. But really, 757 00:38:09,520 --> 00:38:12,120 Speaker 2: I can be really ready for a cage match. 758 00:38:12,200 --> 00:38:15,040 Speaker 4: Can you imagine the hype video for this? Three hookers, 759 00:38:15,360 --> 00:38:19,360 Speaker 4: two political dynasties, but only one winner. 760 00:38:19,640 --> 00:38:20,680 Speaker 1: What walks away? 761 00:38:20,880 --> 00:38:21,399 Speaker 4: One man? 762 00:38:21,560 --> 00:38:24,239 Speaker 3: Only one will walk out of the steel cage match? 763 00:38:24,280 --> 00:38:27,320 Speaker 3: Alive Hunter Biden versus Donald Trump Junior. 764 00:38:27,600 --> 00:38:32,120 Speaker 2: He's still dealing with different financial and legal difficulty. 765 00:38:32,120 --> 00:38:35,239 Speaker 1: He's saying he's like a million dollars in debt. The 766 00:38:35,440 --> 00:38:38,880 Speaker 1: man is just looking for a paycheck. 767 00:38:38,480 --> 00:38:41,279 Speaker 3: Right, I mean, nobody's spending half a million dollars for 768 00:38:41,400 --> 00:38:44,280 Speaker 3: his artwork anymore now that his daddy's not in power. 769 00:38:44,840 --> 00:38:46,760 Speaker 4: Yeah, the guy is looking for a paycheck. 770 00:38:46,840 --> 00:38:48,600 Speaker 3: And if he has to get his brains beat in 771 00:38:48,719 --> 00:38:51,239 Speaker 3: by Donald Trump Junior, I guess he's willing to do 772 00:38:51,360 --> 00:38:52,000 Speaker 3: that so that he. 773 00:38:52,040 --> 00:38:53,080 Speaker 4: Can pay his bills. 774 00:38:53,600 --> 00:38:57,879 Speaker 1: This is just so unhinged, But I oh, I got 775 00:38:57,880 --> 00:38:58,239 Speaker 1: the idea. 776 00:38:58,360 --> 00:39:00,120 Speaker 2: They're trying to do it around the America to two 777 00:39:00,160 --> 00:39:01,920 Speaker 2: hundred and fifty celebrations as they should. 778 00:39:02,200 --> 00:39:05,399 Speaker 3: Referee Elon Musk, get him in the ring there, he'll 779 00:39:05,440 --> 00:39:06,960 Speaker 3: be the referee with the gloves on. 780 00:39:07,239 --> 00:39:09,600 Speaker 4: Oh, this would be great. I love him Let's get Mark. 781 00:39:09,520 --> 00:39:11,759 Speaker 2: Zuckerberg supposed to have some sort of cage match at 782 00:39:11,800 --> 00:39:12,640 Speaker 2: one point as well. 783 00:39:12,760 --> 00:39:15,360 Speaker 4: Yeah, I got it. I was excited about that. Is 784 00:39:15,400 --> 00:39:16,080 Speaker 4: this am I gonna? 785 00:39:16,120 --> 00:39:16,239 Speaker 2: Am? 786 00:39:16,280 --> 00:39:17,959 Speaker 4: I getting lured into something that's never. 787 00:39:17,920 --> 00:39:20,800 Speaker 3: Gonna happen again. I was waiting for the Zuckerberg musk 788 00:39:21,040 --> 00:39:21,680 Speaker 3: fight as well. 789 00:39:21,960 --> 00:39:25,400 Speaker 2: Eric Trump is never going to lower himself to do 790 00:39:25,640 --> 00:39:29,560 Speaker 2: something as ridiculous as this. He's busy building Donald Trump's 791 00:39:29,600 --> 00:39:30,840 Speaker 2: presidential library. 792 00:39:32,120 --> 00:39:34,239 Speaker 4: Still be fun to watch, It would be fun to watch. 793 00:39:34,520 --> 00:39:37,279 Speaker 2: Don't get your hopes up. You're listening to Casey and Jim. 794 00:39:37,320 --> 00:39:38,879 Speaker 2: It's ninety three WIBC.