1 00:00:00,120 --> 00:00:02,240 Speaker 1: You got big news to share with your family or 2 00:00:02,360 --> 00:00:04,520 Speaker 1: share with the world, wouldn't you love to be able 3 00:00:04,559 --> 00:00:06,040 Speaker 1: to do it at the White House? 4 00:00:06,120 --> 00:00:08,520 Speaker 2: Heck yeah, shout it from the rooftops. 5 00:00:08,600 --> 00:00:12,399 Speaker 1: Right. So it was announced that Donald Trump Junior and 6 00:00:12,880 --> 00:00:17,400 Speaker 1: Bettina Andersson are officially engaged and they're planning to get married, 7 00:00:17,760 --> 00:00:21,520 Speaker 1: and the announcement was made at the White House. Well, 8 00:00:21,560 --> 00:00:24,599 Speaker 1: they're there all the time, right, So why wouldn't you 9 00:00:24,600 --> 00:00:26,000 Speaker 1: make the announcement from the White House. 10 00:00:26,079 --> 00:00:26,759 Speaker 2: Here's a big question. 11 00:00:26,840 --> 00:00:30,440 Speaker 1: That's one way to impress your fiance bride to be. 12 00:00:31,080 --> 00:00:33,920 Speaker 1: You know, hey, honey, that's make this announcement from that. 13 00:00:33,920 --> 00:00:35,120 Speaker 2: That is a pretty big flex. 14 00:00:35,240 --> 00:00:37,040 Speaker 3: I mean, to be able to announce your engagement from 15 00:00:37,040 --> 00:00:39,760 Speaker 3: the White House, pretty big flex. Yes, no, I think 16 00:00:39,800 --> 00:00:42,199 Speaker 3: it's it's very cool to be able to do that. 17 00:00:42,440 --> 00:00:46,360 Speaker 3: And you know, you know, these are the types of 18 00:00:46,400 --> 00:00:48,839 Speaker 3: stories that we get around. You know, Christmas is only 19 00:00:48,880 --> 00:00:50,479 Speaker 3: about a week and a half away or so. These 20 00:00:50,479 --> 00:00:52,319 Speaker 3: are the types of fluff stories that come out there. 21 00:00:52,440 --> 00:00:53,599 Speaker 2: Things at the end of the year. 22 00:00:53,680 --> 00:00:56,560 Speaker 3: Oh, Don Trump Junior is getting getting married and we'll 23 00:00:56,560 --> 00:00:58,920 Speaker 3: make the announcement at the White House. And isn't this wonderful? 24 00:00:58,920 --> 00:01:02,800 Speaker 3: And great his upcoming. This will be interesting. Will they 25 00:01:02,840 --> 00:01:05,319 Speaker 3: have the wedding at the White House? That's the big question. 26 00:01:05,400 --> 00:01:09,080 Speaker 1: Who was the last child married in the White House? 27 00:01:10,920 --> 00:01:12,600 Speaker 2: I believe it wasn't it Carter? 28 00:01:12,840 --> 00:01:15,080 Speaker 1: Was it Chelsea? No, she didn't get married there. 29 00:01:15,160 --> 00:01:17,600 Speaker 2: I think it was or it was either Nixon or Carter. 30 00:01:17,720 --> 00:01:21,520 Speaker 1: I think yeah, it's been a while. Maybe they can 31 00:01:21,520 --> 00:01:25,920 Speaker 1: finish the ballroom just in time. That'd be lovely for 32 00:01:26,000 --> 00:01:27,760 Speaker 1: the wedding you're looking for. 33 00:01:27,800 --> 00:01:31,080 Speaker 3: Oh Naomi Biden, the granddaughter of Joe Biden, was married 34 00:01:31,080 --> 00:01:32,920 Speaker 3: at the White House in twenty twenty two. So there 35 00:01:32,920 --> 00:01:34,399 Speaker 3: you go in the south lawn of the White House. 36 00:01:34,440 --> 00:01:36,760 Speaker 3: That was the last wedding that took place at the 37 00:01:36,800 --> 00:01:37,960 Speaker 3: White House twenty twenty two. 38 00:01:38,120 --> 00:01:42,080 Speaker 1: I mean, if you if you've got the access, yeah. 39 00:01:42,520 --> 00:01:44,080 Speaker 2: I'll pull that rank on that. 40 00:01:44,120 --> 00:01:46,360 Speaker 3: If you know, Dad will let me get married at 41 00:01:46,360 --> 00:01:48,080 Speaker 3: the White House, I'll take him up on that. 42 00:01:48,200 --> 00:01:50,760 Speaker 1: Sure taxpayers aren't paying for it. I would hold her 43 00:01:50,800 --> 00:01:54,680 Speaker 1: from Michelle Obama yesterday as she was complaining that she 44 00:01:54,800 --> 00:01:56,600 Speaker 1: has to pay for her own food. She had to 45 00:01:56,640 --> 00:01:58,800 Speaker 1: pay for her own food when she was at the 46 00:01:58,800 --> 00:02:02,600 Speaker 1: White House. The stroke the world's smallest violin playing right now. 47 00:02:03,440 --> 00:02:06,040 Speaker 1: There is a new study that was released from Independent 48 00:02:06,160 --> 00:02:11,800 Speaker 1: Indiana and they were aiming at increasing political competition in 49 00:02:11,840 --> 00:02:17,000 Speaker 1: the state and they cited what it calls sustained political stagnation. 50 00:02:17,760 --> 00:02:21,720 Speaker 1: They say that many elections in Indiana are effectively decided 51 00:02:21,840 --> 00:02:27,000 Speaker 1: before the general election, and that is due to partisan primaries, caucuses, 52 00:02:27,200 --> 00:02:31,480 Speaker 1: or gerrymandered districts, and that leads to fewer competitive races, 53 00:02:31,600 --> 00:02:35,959 Speaker 1: also weaker accountability and declining voter engagement. 54 00:02:37,880 --> 00:02:40,560 Speaker 3: I guess this is good and they're trying to make 55 00:02:40,600 --> 00:02:43,840 Speaker 3: it more competitive and less of an automatic. I just 56 00:02:44,360 --> 00:02:47,520 Speaker 3: these stories just continue to frustrate me because none of 57 00:02:47,560 --> 00:02:51,600 Speaker 3: this has anything to do with making the lives of average, 58 00:02:51,639 --> 00:02:54,440 Speaker 3: everyday Americans better. Nothing of it has anything to do 59 00:02:54,639 --> 00:02:58,320 Speaker 3: with controlling the out of control cost of living in 60 00:02:58,360 --> 00:03:00,320 Speaker 3: this country right now. This is similar learn what we 61 00:03:00,400 --> 00:03:02,840 Speaker 3: talked about with redistricting, and these are the big stories 62 00:03:02,840 --> 00:03:05,040 Speaker 3: that everybody is talking about, all these all these outside 63 00:03:05,080 --> 00:03:07,440 Speaker 3: groups and all these politicians. For what we've been talking 64 00:03:07,480 --> 00:03:10,320 Speaker 3: about for months now, I've been focusing on the mechanics 65 00:03:10,320 --> 00:03:15,320 Speaker 3: of elections, redistricting and open primaries and all those primaries, 66 00:03:15,639 --> 00:03:19,200 Speaker 3: and it's just about the election mechanics and the process. 67 00:03:19,480 --> 00:03:21,080 Speaker 3: Nothing about the out of control and how we have 68 00:03:21,120 --> 00:03:22,880 Speaker 3: the you know, one of the highest gas taxes in 69 00:03:22,919 --> 00:03:25,560 Speaker 3: the nation, how property taxes have gone through the roof 70 00:03:25,600 --> 00:03:28,120 Speaker 3: the last five years, and how just being alive and 71 00:03:28,200 --> 00:03:31,680 Speaker 3: getting through life is becoming unaffordable for more and more Americans. No, 72 00:03:31,680 --> 00:03:34,160 Speaker 3: we just got to keep talking about elections, keep talking 73 00:03:34,160 --> 00:03:35,040 Speaker 3: about elections. 74 00:03:35,280 --> 00:03:39,920 Speaker 1: Well, you've got the executive director of Independent Indiana, Nathan Gotch. 75 00:03:40,280 --> 00:03:43,320 Speaker 1: I think you want him to be successful though, because 76 00:03:43,520 --> 00:03:47,600 Speaker 1: the more you have independent candidates on the ballot or 77 00:03:47,760 --> 00:03:52,200 Speaker 1: being competitive actually considered, the better it is for the 78 00:03:52,240 --> 00:03:57,880 Speaker 1: state of Indiana and the taxpayers because competition makes everyone better. 79 00:03:58,200 --> 00:04:00,440 Speaker 1: I mean, look at the super majority that we've had 80 00:04:00,480 --> 00:04:03,160 Speaker 1: in the state of Indiana for years, and what are 81 00:04:03,200 --> 00:04:07,320 Speaker 1: you saying. I want someone to address taxes. 82 00:04:07,240 --> 00:04:09,160 Speaker 3: Yes, I want someone to address taxes. I want someone 83 00:04:09,200 --> 00:04:12,520 Speaker 3: to address affordability. Absolutely, nobody's doing that. Nobody's talking about 84 00:04:12,560 --> 00:04:16,200 Speaker 3: I don't have to, they don't have to. So hopefully this. 85 00:04:16,040 --> 00:04:17,880 Speaker 2: Will do what it's intended to do. 86 00:04:17,920 --> 00:04:20,320 Speaker 3: But it's still frustrating that we just keep talking about 87 00:04:20,320 --> 00:04:24,480 Speaker 3: the mechanics of elections, redistricting, closed primaries, open primaries, that's 88 00:04:24,480 --> 00:04:26,600 Speaker 3: all we've been talking about for months now and has 89 00:04:26,640 --> 00:04:28,360 Speaker 3: nothing to do with helping the American people. 90 00:04:28,480 --> 00:04:32,560 Speaker 1: Well. Independent Indiana says that we should repeal straight ticket 91 00:04:32,640 --> 00:04:37,200 Speaker 1: voting and restore the signature requirement for independent candidates, and 92 00:04:37,360 --> 00:04:43,120 Speaker 1: also build infrastructure for independent candidates, including training, toolkits and 93 00:04:43,480 --> 00:04:48,360 Speaker 1: membership networks. Okay, I came across this what we got. 94 00:04:49,360 --> 00:04:52,880 Speaker 1: I thought it was cool, but I also thought, wait 95 00:04:52,920 --> 00:04:56,680 Speaker 1: a minute, is this a commercial? What's going on here? 96 00:04:57,160 --> 00:05:01,039 Speaker 1: So let's take a listen. This is the the Secretary 97 00:05:01,080 --> 00:05:06,200 Speaker 1: of Transportation, Sean Duffy, and he's talking about the Stars 98 00:05:06,360 --> 00:05:10,839 Speaker 1: in Steel corvette, and this is celebrating America's two hundred 99 00:05:10,839 --> 00:05:15,280 Speaker 1: and fiftieth birthday. And he invited everybody to download the 100 00:05:15,520 --> 00:05:19,159 Speaker 1: Explore two fifty app, which I did, and I'll share 101 00:05:19,160 --> 00:05:21,480 Speaker 1: with you what I found from it. Okay, but here 102 00:05:21,560 --> 00:05:24,160 Speaker 1: is the Transportation Secretary Sean Duffy. 103 00:05:24,839 --> 00:05:28,640 Speaker 2: Heyby one, Secretary Shawn Duffy. Here, we're about to celebrate. 104 00:05:28,279 --> 00:05:31,920 Speaker 4: America's two hundred and fiftieth birthday. There's no better way 105 00:05:31,920 --> 00:05:34,600 Speaker 4: to celebrate a birthday than to hit the road. This 106 00:05:34,760 --> 00:05:38,520 Speaker 4: is the Corvette Stars in Steel. Yeah, two hundred and 107 00:05:38,520 --> 00:05:42,200 Speaker 4: fiftyth of made to celebrate America's two hundred and fiftieth birthday. 108 00:05:42,320 --> 00:05:47,120 Speaker 4: We have an American flag on the front, stars and stripes. Beautiful, 109 00:05:47,560 --> 00:05:50,800 Speaker 4: a little two fifty recognition of our birthday. Over one 110 00:05:50,800 --> 00:05:54,039 Speaker 4: thousand horsepower in this corvette. You check this out though 111 00:05:54,480 --> 00:05:58,120 Speaker 4: interior red accent red stitching. 112 00:05:59,320 --> 00:06:01,960 Speaker 1: Get it in the seat wraps right around me. 113 00:06:02,000 --> 00:06:04,039 Speaker 4: By the way, I have a plaque here recognizing our 114 00:06:04,080 --> 00:06:06,800 Speaker 4: two hundred and fifieth birthday. But this is the best 115 00:06:06,880 --> 00:06:12,240 Speaker 4: part of this vehicle you're watching. But wait, fun ready. 116 00:06:14,760 --> 00:06:15,200 Speaker 2: Sounds good. 117 00:06:15,200 --> 00:06:17,240 Speaker 4: We're gonna take this bad boy and a little test 118 00:06:17,320 --> 00:06:19,800 Speaker 4: drive beyond the Navy game. Here we go America two 119 00:06:19,880 --> 00:06:26,360 Speaker 4: fifty from a cam on Steward down home. 120 00:06:26,920 --> 00:06:32,919 Speaker 1: Okay, so it is very cool and the car looks nice. However, 121 00:06:33,320 --> 00:06:34,920 Speaker 1: is he going to be making an ad for all 122 00:06:34,960 --> 00:06:39,320 Speaker 1: American companies over the next year? No? 123 00:06:39,839 --> 00:06:43,440 Speaker 2: Oh sure, I'm sure. Look this thing is awesome. Go 124 00:06:43,560 --> 00:06:44,480 Speaker 2: watch this video. 125 00:06:44,800 --> 00:06:48,720 Speaker 3: It's a special limited edition corvette to celebrate the two 126 00:06:48,800 --> 00:06:52,560 Speaker 3: hundredth anniversary of America. They're limiting it to just producing 127 00:06:52,600 --> 00:06:56,240 Speaker 3: two hundred and fifty of them. It's a thousand horse power. 128 00:06:56,279 --> 00:06:58,520 Speaker 3: I feel like I got to quote Ricky Bobby, just 129 00:06:58,600 --> 00:07:01,400 Speaker 3: a big hairy America can win in machine if you're 130 00:07:01,440 --> 00:07:02,640 Speaker 3: not first your last. 131 00:07:02,880 --> 00:07:04,320 Speaker 2: I love everything about this. 132 00:07:04,279 --> 00:07:07,400 Speaker 1: Only two hundred and fifty may, but the average American 133 00:07:07,440 --> 00:07:12,400 Speaker 1: cannot afford this vehicle. That is not you know, keeping 134 00:07:13,000 --> 00:07:15,280 Speaker 1: keeping in step with your voters. 135 00:07:16,600 --> 00:07:18,480 Speaker 2: Look, you just like it because it's a cool car. 136 00:07:19,160 --> 00:07:23,040 Speaker 3: Look, there are some aspects here celebrating America's two hundred 137 00:07:23,040 --> 00:07:26,880 Speaker 3: and fiftieth anniversary, having that patriotism, having that love for 138 00:07:26,920 --> 00:07:29,920 Speaker 3: this country, and doing some interesting, cool, fun stuff like this. 139 00:07:30,240 --> 00:07:32,880 Speaker 3: I think that's reasonable to carve out a little bit 140 00:07:32,920 --> 00:07:36,440 Speaker 3: of time in the Transportation Secretary's day to promote this 141 00:07:36,480 --> 00:07:39,560 Speaker 3: because I think it's awesome. It's a Corvette, it's America. 142 00:07:39,600 --> 00:07:41,960 Speaker 3: They're made right there in Bowling Green, Kentucky, which, by 143 00:07:42,000 --> 00:07:44,280 Speaker 3: the way, one of these days we are going to 144 00:07:44,320 --> 00:07:47,200 Speaker 3: stop at the Corvette Museum museum and Bowling Green, Kentucky 145 00:07:47,280 --> 00:07:49,160 Speaker 3: still haven't made it there. But this thing is awesome, 146 00:07:49,520 --> 00:07:50,840 Speaker 3: a thousand horsepower. 147 00:07:51,320 --> 00:07:53,840 Speaker 1: He goes on to talk about the app that was 148 00:07:53,920 --> 00:07:57,800 Speaker 1: created by General Motors, and it's called Explore two fifty 149 00:07:58,080 --> 00:08:00,360 Speaker 1: that's the name of the app, And many people are saying, 150 00:08:00,400 --> 00:08:03,600 Speaker 1: what download this app so that General Motors can track 151 00:08:03,680 --> 00:08:06,840 Speaker 1: all of my movements. Well, I did it. I did 152 00:08:06,880 --> 00:08:09,720 Speaker 1: it for you. I downloaded the app so I could 153 00:08:09,720 --> 00:08:11,560 Speaker 1: see what it was all about. And you know, a 154 00:08:11,560 --> 00:08:13,320 Speaker 1: lot of people say, if you want to hate America, 155 00:08:13,440 --> 00:08:16,080 Speaker 1: watch the news. If you want to love America, drive 156 00:08:16,120 --> 00:08:16,720 Speaker 1: across it. 157 00:08:16,920 --> 00:08:18,240 Speaker 2: This is what I'm talking about. 158 00:08:18,280 --> 00:08:22,760 Speaker 1: However, one of the things you can do on this 159 00:08:22,920 --> 00:08:26,080 Speaker 1: app is you can well it gives you road trip 160 00:08:26,160 --> 00:08:30,280 Speaker 1: suggestions and iconic places in every state to go to. 161 00:08:30,640 --> 00:08:32,440 Speaker 2: You love that kind of I knowthough. 162 00:08:32,480 --> 00:08:33,840 Speaker 1: That's one of the reasons why I was like, all right, 163 00:08:33,880 --> 00:08:36,000 Speaker 1: I'm going to download this app. Don't download this app 164 00:08:36,040 --> 00:08:39,880 Speaker 1: and see what it has to say. So I plugged 165 00:08:39,880 --> 00:08:40,720 Speaker 1: in Indiana. 166 00:08:40,800 --> 00:08:41,120 Speaker 2: Okay. 167 00:08:41,160 --> 00:08:44,319 Speaker 1: When you get the search and a couple things pop 168 00:08:44,440 --> 00:08:47,520 Speaker 1: up that they are specifically highlighted in the great state 169 00:08:47,520 --> 00:08:48,120 Speaker 1: of Indiana. 170 00:08:48,160 --> 00:08:48,560 Speaker 2: I love it. 171 00:08:48,840 --> 00:08:52,560 Speaker 1: One is the Children's Museum, rock solid. They are also 172 00:08:52,760 --> 00:08:59,320 Speaker 1: highlighting the Congressional Metal Park. They also have the Indiana Dunes. 173 00:08:59,360 --> 00:08:59,840 Speaker 2: Very nice. 174 00:09:00,120 --> 00:09:03,480 Speaker 1: And there was one other one, oh the Speedway. 175 00:09:03,600 --> 00:09:05,199 Speaker 3: I was going to say, I was going to say, 176 00:09:05,280 --> 00:09:08,920 Speaker 3: if you're using a corvette and race cars as your 177 00:09:09,240 --> 00:09:12,719 Speaker 3: kind of marketing platform, here, Yeah, you better have the 178 00:09:12,760 --> 00:09:14,040 Speaker 3: ims as part of the app but. 179 00:09:14,080 --> 00:09:15,600 Speaker 2: Things to see in the state of Indiana. 180 00:09:15,720 --> 00:09:17,520 Speaker 3: So I don't know, I mean, it was kind of 181 00:09:17,559 --> 00:09:19,160 Speaker 3: so you're you're, you kind of feel like it's a 182 00:09:19,200 --> 00:09:23,360 Speaker 3: little bit like the government picking winners and losers. 183 00:09:22,280 --> 00:09:25,080 Speaker 1: Like they just I mean, it's promoting Corvette right here. 184 00:09:25,320 --> 00:09:27,560 Speaker 3: Yeah, but look, this administration has done everything. Look we 185 00:09:27,600 --> 00:09:29,080 Speaker 3: had a tesla on the on the lawn to the 186 00:09:29,080 --> 00:09:32,920 Speaker 3: White House. There's opportunities for all sorts of corporate entities 187 00:09:32,920 --> 00:09:35,600 Speaker 3: to be involved in the various things that the government does, 188 00:09:35,960 --> 00:09:38,959 Speaker 3: and I think this is just one of them. And again, 189 00:09:39,000 --> 00:09:41,840 Speaker 3: it's about being patriotic. It's about celebrating the two hundred 190 00:09:41,880 --> 00:09:46,360 Speaker 3: and fiftieth anniversary of America. And what an absolutely cool 191 00:09:46,400 --> 00:09:48,280 Speaker 3: way to do it in a thousand. 192 00:09:48,000 --> 00:09:50,079 Speaker 1: Horse powers bright red interior. 193 00:09:50,360 --> 00:09:53,920 Speaker 2: It is amazing, really cool. It is so cool. 194 00:09:53,960 --> 00:09:56,520 Speaker 3: It's got this like a kind of shadow logo on 195 00:09:56,559 --> 00:09:59,280 Speaker 3: the cover of the American flag, on the on the hood, 196 00:09:59,360 --> 00:10:02,440 Speaker 3: on the hood, the bullet it's very is it's very 197 00:10:02,480 --> 00:10:06,400 Speaker 3: cool on one hundred percent behind this. Congratulations to Sean Duffy, 198 00:10:06,440 --> 00:10:08,600 Speaker 3: our Transportation Secretary, for being a part of this. 199 00:10:08,600 --> 00:10:10,640 Speaker 1: Wonder if he gets to keep that car. I did 200 00:10:10,679 --> 00:10:13,480 Speaker 1: like the message that he said. America is truly the 201 00:10:13,480 --> 00:10:16,600 Speaker 1: most beautiful country on this planet, and there's nothing better 202 00:10:16,640 --> 00:10:20,120 Speaker 1: than exploring this great nation than on the road. Now, 203 00:10:20,240 --> 00:10:23,320 Speaker 1: let's just make sure that we're not just passing out 204 00:10:23,440 --> 00:10:27,960 Speaker 1: CDL licenses like they're candy to everybody who wants them. 205 00:10:28,080 --> 00:10:32,320 Speaker 1: And they actually have the skills to operate these eighty 206 00:10:32,400 --> 00:10:34,760 Speaker 1: ton trucks so that when you are on the road, 207 00:10:35,120 --> 00:10:38,080 Speaker 1: you're safe. Oh and by the way, let's make sure 208 00:10:38,120 --> 00:10:42,040 Speaker 1: that those roads are nice and smooth, because as we 209 00:10:42,200 --> 00:10:45,480 Speaker 1: just saw this weekend, the state line in Indiana. You 210 00:10:45,600 --> 00:10:48,920 Speaker 1: don't need to see the big sign that says more 211 00:10:48,960 --> 00:10:52,160 Speaker 1: to discover in Indiana. You can just tell by the road. 212 00:10:52,280 --> 00:10:53,720 Speaker 2: You can feel it as your tires are. 213 00:10:55,280 --> 00:10:59,079 Speaker 1: You hit the state line and the roads completely change. 214 00:10:59,240 --> 00:11:03,160 Speaker 3: There's time for the problems the roads, all of those things, 215 00:11:03,200 --> 00:11:06,440 Speaker 3: and there's also time to be patriotic, to be have 216 00:11:06,520 --> 00:11:08,840 Speaker 3: a little fund, to do things a little bit differently, 217 00:11:08,920 --> 00:11:12,080 Speaker 3: to celebrate this country and put a thousand horsepower corvette 218 00:11:12,120 --> 00:11:12,560 Speaker 3: on the road. 219 00:11:13,240 --> 00:11:26,439 Speaker 1: It is the Kendally Casey Show. It's ninety three WYBC. Okay, 220 00:11:26,480 --> 00:11:30,520 Speaker 1: when I say this, guess who I am you want 221 00:11:30,520 --> 00:11:31,000 Speaker 1: me to sue? 222 00:11:31,000 --> 00:11:34,280 Speaker 2: Somebody can sue someone for you? 223 00:11:34,559 --> 00:11:36,480 Speaker 1: Can I sue someone for you? Who you want me 224 00:11:36,520 --> 00:11:37,240 Speaker 1: to sue? Who? 225 00:11:37,280 --> 00:11:40,560 Speaker 3: Does that sound like Todd Rokeita? You got your Indiana 226 00:11:40,559 --> 00:11:41,679 Speaker 3: Attorney General. 227 00:11:41,400 --> 00:11:42,080 Speaker 2: Todd Rokeita. 228 00:11:42,280 --> 00:11:42,760 Speaker 1: That's right. 229 00:11:43,080 --> 00:11:44,280 Speaker 2: He has to suit people. 230 00:11:44,040 --> 00:11:46,199 Speaker 1: And he is now doing that. He is suing around 231 00:11:46,360 --> 00:11:51,720 Speaker 1: fifty sexually explicit websites alleging violation of the state's age 232 00:11:51,880 --> 00:11:55,840 Speaker 1: verification law. So there's a big conglomerate that owns porn 233 00:11:55,960 --> 00:11:59,480 Speaker 1: hub and he is saying that they are not following 234 00:11:59,760 --> 00:12:03,679 Speaker 1: the rules set in place with Indiana's age verification law, 235 00:12:03,720 --> 00:12:08,319 Speaker 1: which was passed in twenty twenty four. That law requires sites, 236 00:12:08,640 --> 00:12:11,400 Speaker 1: you know what I'm talking about, sites to ensure that 237 00:12:11,520 --> 00:12:13,240 Speaker 1: users are at least eighteen. 238 00:12:13,840 --> 00:12:16,240 Speaker 3: Yeah, And we could look at this from the perspective of, 239 00:12:16,280 --> 00:12:19,000 Speaker 3: you know, should there be age restrictions on pornographic sites 240 00:12:19,000 --> 00:12:20,800 Speaker 3: in the state. Is that a good idea? Should rokey 241 00:12:20,840 --> 00:12:22,920 Speaker 3: to be suing them? What's more interesting to me is 242 00:12:22,960 --> 00:12:26,800 Speaker 3: the political aspect of this for Todd Rokeita, because, as 243 00:12:26,800 --> 00:12:28,360 Speaker 3: we know, and as you and Rob have talked about 244 00:12:28,360 --> 00:12:31,840 Speaker 3: on the show, Braun not doing so great these days, 245 00:12:31,880 --> 00:12:36,760 Speaker 3: as governor, his days may be numbered. The next politician up, 246 00:12:36,840 --> 00:12:39,040 Speaker 3: especially from the Republicans, that would have the best fighting 247 00:12:39,120 --> 00:12:40,720 Speaker 3: chance of being governor is Todd Roketa. 248 00:12:40,840 --> 00:12:43,080 Speaker 2: And believe me, he's well aware of that. 249 00:12:43,440 --> 00:12:45,560 Speaker 3: Yeah, and you know, I think we're going to continue 250 00:12:45,559 --> 00:12:49,400 Speaker 3: to see him do things to shore up and you know, 251 00:12:49,880 --> 00:12:51,120 Speaker 3: this is essentially red. 252 00:12:50,920 --> 00:12:52,680 Speaker 2: Meat to the conservative base. 253 00:12:53,280 --> 00:12:56,200 Speaker 3: Conservative base is going to be all for you cracking 254 00:12:56,240 --> 00:12:59,240 Speaker 3: down on pornography, you know, making you know, bringing lawsuits 255 00:12:59,240 --> 00:13:02,600 Speaker 3: against pornographic websites. It goes back to where Todd Roketa 256 00:13:02,720 --> 00:13:05,880 Speaker 3: was suing to prevent abortions and for that abortion data 257 00:13:05,920 --> 00:13:09,000 Speaker 3: to be released, and he's done all of these things 258 00:13:09,000 --> 00:13:12,320 Speaker 3: have been very strategic from Todd Rokeeda to play to 259 00:13:12,400 --> 00:13:16,240 Speaker 3: the conservative base because if Braun ends up faltering even 260 00:13:16,280 --> 00:13:18,439 Speaker 3: worse than he is now, and if Roketa decides that 261 00:13:18,480 --> 00:13:20,679 Speaker 3: he wants to run for governor, he is going to 262 00:13:20,760 --> 00:13:21,560 Speaker 3: be first in line. 263 00:13:21,679 --> 00:13:23,640 Speaker 1: He's going to have this to put on his resume. 264 00:13:23,800 --> 00:13:26,280 Speaker 1: It's just a look what I've done for the conservative 265 00:13:26,320 --> 00:13:27,200 Speaker 1: base in Indiana. 266 00:13:27,400 --> 00:13:30,640 Speaker 3: He is clearly the best politician in the state right now. 267 00:13:30,720 --> 00:13:32,960 Speaker 3: Like him or love him, he knows what he's doing. 268 00:13:33,000 --> 00:13:35,800 Speaker 3: He's the best politician in the state. He's been battle tested. 269 00:13:35,840 --> 00:13:38,720 Speaker 3: He's been Secretary of State, he's been a federal member 270 00:13:38,760 --> 00:13:43,400 Speaker 3: of Congress, he's now been attorney general. He's got outstanding 271 00:13:43,440 --> 00:13:48,040 Speaker 3: political instincts. This is absolutely Todd Roketa continuing to build 272 00:13:48,080 --> 00:13:50,640 Speaker 3: his resume for conservatives and saying, look, I'm the guy 273 00:13:50,679 --> 00:13:51,400 Speaker 3: to lead this state. 274 00:13:51,880 --> 00:13:56,080 Speaker 1: Many people would question, though, do we need more government 275 00:13:56,200 --> 00:14:00,280 Speaker 1: oversight on this issue, especially for a base that wants 276 00:14:00,320 --> 00:14:03,680 Speaker 1: to have limited government, And here he is going further 277 00:14:03,760 --> 00:14:08,120 Speaker 1: into this. I mean, he already championed the law, and 278 00:14:08,640 --> 00:14:13,280 Speaker 1: now you've got him suing these companies who aren't abiding 279 00:14:13,320 --> 00:14:13,560 Speaker 1: by it. 280 00:14:13,640 --> 00:14:15,400 Speaker 3: But again, I think that's like I started out with, 281 00:14:15,400 --> 00:14:17,040 Speaker 3: that's kind of a separate debate whether or not these 282 00:14:17,120 --> 00:14:19,960 Speaker 3: laws should be there. He's being the chief law enforcement officer. 283 00:14:20,080 --> 00:14:21,800 Speaker 3: This is a law that is on the books in 284 00:14:21,840 --> 00:14:23,960 Speaker 3: the state of Indiana. He's saying that these all these 285 00:14:24,040 --> 00:14:26,680 Speaker 3: rules are not following up. You're not following it. I'm 286 00:14:26,720 --> 00:14:28,960 Speaker 3: cracking down on you. That's the type of thing that 287 00:14:29,040 --> 00:14:31,840 Speaker 3: I think almost all conservatives one hundred percent can get behind. 288 00:14:32,040 --> 00:14:35,920 Speaker 1: Yeah, he said, exposure to pornography can cause serious psychological 289 00:14:35,960 --> 00:14:39,800 Speaker 1: and physical harm to adolescents and it does increase their 290 00:14:39,920 --> 00:14:44,400 Speaker 1: risk for violence and also victimization. And he's requesting an 291 00:14:44,440 --> 00:14:50,680 Speaker 1: injunction civil penalties and costs to prevent further harm to minors. Okay, 292 00:14:50,720 --> 00:14:53,200 Speaker 1: so where are people moving and where are they going 293 00:14:53,240 --> 00:14:55,880 Speaker 1: to and where are they going from? A new study 294 00:14:55,920 --> 00:15:01,160 Speaker 1: came out that said the top inbound states include are Arkansas, Idaho, 295 00:15:01,360 --> 00:15:04,960 Speaker 1: and North Carolina. They saw the most new residents this 296 00:15:05,080 --> 00:15:08,480 Speaker 1: past year. This study was done by Atlas Van Lines. 297 00:15:08,880 --> 00:15:11,480 Speaker 2: Yeah, so you've got to kind of keep that in mind. 298 00:15:11,560 --> 00:15:15,280 Speaker 3: This isn't just this isn't the data used for this 299 00:15:15,360 --> 00:15:19,400 Speaker 3: study isn't all encompassing. This is strictly data from one 300 00:15:19,480 --> 00:15:23,440 Speaker 3: moving company. And that's it so interesting. But let's not 301 00:15:23,520 --> 00:15:25,800 Speaker 3: hold this to, you know, an incredible standard. But it 302 00:15:25,880 --> 00:15:27,760 Speaker 3: is an interesting bit of data. And like you said, 303 00:15:27,840 --> 00:15:30,480 Speaker 3: I thought, the most fascinating thing is the state that 304 00:15:30,600 --> 00:15:34,600 Speaker 3: more people are moving to than any other state is Arkansas. 305 00:15:34,760 --> 00:15:38,080 Speaker 1: I wonder if there aren't a couple of reasons for that. 306 00:15:38,160 --> 00:15:43,480 Speaker 1: One could be Sarah Huckabee Sanders, who, at one point 307 00:15:43,520 --> 00:15:45,080 Speaker 1: I don't know if she still is, I haven't seen 308 00:15:45,120 --> 00:15:47,840 Speaker 1: her polling was popular as the governor is very popular, 309 00:15:47,880 --> 00:15:51,240 Speaker 1: and it put a huge push into reforming education in 310 00:15:51,240 --> 00:15:52,240 Speaker 1: that state that has. 311 00:15:52,120 --> 00:15:53,200 Speaker 2: Been successful so far. 312 00:15:53,360 --> 00:15:59,200 Speaker 1: Correct. The other likely influence is that Walmart is headquartered there, 313 00:15:59,280 --> 00:16:03,520 Speaker 1: So you've got a big industry as a poll for 314 00:16:03,520 --> 00:16:04,240 Speaker 1: people to move. 315 00:16:04,080 --> 00:16:08,000 Speaker 3: Absolutely massive industry, and at a company that has done 316 00:16:08,040 --> 00:16:11,240 Speaker 3: an outstanding job at modernizing itself and keeping up with 317 00:16:11,280 --> 00:16:13,400 Speaker 3: the times. I mean, they are neck and neck with 318 00:16:13,440 --> 00:16:16,080 Speaker 3: Amazon to be the top e commerce retailer in the 319 00:16:16,200 --> 00:16:18,440 Speaker 3: entire world. So yes, Walmart's a part of it. The 320 00:16:18,480 --> 00:16:20,600 Speaker 3: other thing that I thought was fascinating is the state 321 00:16:20,640 --> 00:16:23,360 Speaker 3: that people are leaving the most. It's not Illinois, it's 322 00:16:23,360 --> 00:16:26,520 Speaker 3: not California, it's not New York. It's Louisiana. 323 00:16:26,840 --> 00:16:32,720 Speaker 1: Yeah, Louisiana followed by West Virginia. And that you know, 324 00:16:32,920 --> 00:16:35,840 Speaker 1: those are two states though, that do have a lower 325 00:16:35,960 --> 00:16:37,000 Speaker 1: housing cost. 326 00:16:37,960 --> 00:16:40,040 Speaker 3: That's always been the inning the yang of this is 327 00:16:40,080 --> 00:16:43,440 Speaker 3: that you know, like low cost of living. 328 00:16:43,680 --> 00:16:47,000 Speaker 1: With low taxes, you're going to get low infrastructure as well. 329 00:16:47,160 --> 00:16:51,240 Speaker 3: Yeah, and a low cost of living a lot of 330 00:16:51,280 --> 00:16:54,000 Speaker 3: times leads you to believe that there's not a lot 331 00:16:54,000 --> 00:16:56,920 Speaker 3: of demand for people to live there, and high cost 332 00:16:56,920 --> 00:16:58,240 Speaker 3: of living leads you to believe that there is a 333 00:16:58,280 --> 00:16:59,920 Speaker 3: lot of demand for people to live there. But yeah, 334 00:17:00,000 --> 00:17:02,120 Speaker 3: Louisiana being the state that people are moving out of 335 00:17:02,120 --> 00:17:03,960 Speaker 3: the most was it was a bit of a surprise. 336 00:17:03,960 --> 00:17:05,480 Speaker 3: You would have thought that it would have been somebody else. 337 00:17:05,560 --> 00:17:08,280 Speaker 1: You have to wonder if that isn't because of lifestyle 338 00:17:08,560 --> 00:17:13,080 Speaker 1: or even family considerations. These aren't just purely financial reasons. 339 00:17:13,200 --> 00:17:17,400 Speaker 3: Look, Louisiana is an incredibly poor state. You know, they're 340 00:17:17,840 --> 00:17:21,360 Speaker 3: tiny things to like about New Orleans. There's an incredible 341 00:17:21,400 --> 00:17:23,560 Speaker 3: amount to not like about the New Orleans if you've 342 00:17:23,560 --> 00:17:26,400 Speaker 3: ever been there. It's not the greatest place in the world. 343 00:17:26,400 --> 00:17:29,160 Speaker 3: But again, you would have thought that this narrative, especially 344 00:17:29,200 --> 00:17:33,000 Speaker 3: since COVID of people fleeing blue states in high cost 345 00:17:33,080 --> 00:17:35,040 Speaker 3: of living states, would have continued. But at least in 346 00:17:35,040 --> 00:17:37,960 Speaker 3: this one specific data set, that isn't the case. 347 00:17:38,000 --> 00:17:41,040 Speaker 1: Here, what did I see about Indiana? I thought I 348 00:17:41,080 --> 00:17:43,520 Speaker 1: saw something that it's ranking on the list of one 349 00:17:43,560 --> 00:17:47,000 Speaker 1: of the more affordable states. This in this study. 350 00:17:47,119 --> 00:17:49,400 Speaker 3: Yeah, this study talks about how it is affordable and 351 00:17:49,680 --> 00:17:53,719 Speaker 3: more people are moving to Indiana than leaving Indiana. It 352 00:17:53,760 --> 00:17:56,400 Speaker 3: looks like it's about plus eight percent. 353 00:17:56,600 --> 00:18:00,480 Speaker 1: Okay, And I feel the spirit of rob Kendall take over. 354 00:18:00,880 --> 00:18:04,320 Speaker 1: Just don't bring your politics with you. That's something that 355 00:18:04,359 --> 00:18:04,920 Speaker 1: he would say. 356 00:18:05,000 --> 00:18:07,080 Speaker 3: Oh, that's something that a lot of people are saying, Hey, 357 00:18:07,400 --> 00:18:10,320 Speaker 3: go to Idaho and Nevada and some of these states 358 00:18:10,320 --> 00:18:13,880 Speaker 3: there and even Texas where people are fluing fleeing West 359 00:18:13,920 --> 00:18:16,520 Speaker 3: coast states like Washington, Oregon and California and coming to 360 00:18:16,560 --> 00:18:18,919 Speaker 3: these red states. And yeah, absolutely a lot of those 361 00:18:18,960 --> 00:18:20,800 Speaker 3: people are bringing their blue politics with them. 362 00:18:20,920 --> 00:18:24,040 Speaker 1: One thing that surprised me about this other popular destinations 363 00:18:24,080 --> 00:18:29,280 Speaker 1: where people are moving to Hawaii, Tennessee, Tennessee doesn't surprise me. 364 00:18:29,760 --> 00:18:32,959 Speaker 1: Washington State, Alabama, but also Washington, d C. Was on 365 00:18:33,000 --> 00:18:36,800 Speaker 1: the list. And I you know, you heard all of 366 00:18:36,840 --> 00:18:40,159 Speaker 1: these stories about all the houses that were on the 367 00:18:40,200 --> 00:18:43,880 Speaker 1: market when Trump won the election, and with the government 368 00:18:43,920 --> 00:18:46,800 Speaker 1: being shut down, people moving out of Washington, d C. 369 00:18:47,119 --> 00:18:51,040 Speaker 1: And it's such an expensive place to be. But according 370 00:18:51,119 --> 00:18:55,840 Speaker 1: to this Atlas Van Lines analysis, they have Washington, d C. 371 00:18:56,200 --> 00:18:58,719 Speaker 1: As one of the places people are moving to. 372 00:18:59,000 --> 00:19:02,160 Speaker 3: Well, hey, look, the government's not stop and spending any money. 373 00:19:02,200 --> 00:19:03,840 Speaker 3: I mean, they're still going to be spending tons and 374 00:19:03,840 --> 00:19:05,800 Speaker 3: tons of money every single years. It means they're going 375 00:19:05,840 --> 00:19:07,720 Speaker 3: to be hiring people with a bunch of cushy government 376 00:19:07,800 --> 00:19:09,679 Speaker 3: jobs that can afford the out of control cost of 377 00:19:09,680 --> 00:19:10,240 Speaker 3: living in DC. 378 00:19:10,400 --> 00:19:11,480 Speaker 2: That's probably part of it. 379 00:19:11,720 --> 00:19:16,600 Speaker 1: So what is the lifetime debt for average Americans? We'll 380 00:19:16,600 --> 00:19:18,920 Speaker 1: get to that coming up. It is the Kendallly Casey 381 00:19:19,040 --> 00:19:33,320 Speaker 1: Show on ninety three WIBC. This Young Americans from David Bow. 382 00:19:33,240 --> 00:19:34,680 Speaker 2: David Young American Y. 383 00:19:35,400 --> 00:19:37,840 Speaker 1: Nice choice, Kevin, as we're about to talk about the 384 00:19:37,880 --> 00:19:39,639 Speaker 1: true cost of the American dream. 385 00:19:40,040 --> 00:19:41,600 Speaker 2: Yeah, boy, oh boy. 386 00:19:41,880 --> 00:19:46,199 Speaker 1: Yeah, a lifetime of debt. So if you were to 387 00:19:46,320 --> 00:19:51,720 Speaker 1: consider the average American aged eighteen to seventy eight being 388 00:19:51,760 --> 00:19:56,400 Speaker 1: their lifespan. Okay, and this will cover mortgages, auto loans, 389 00:19:56,480 --> 00:19:59,480 Speaker 1: student loans, credit cards, all the debt. 390 00:19:59,320 --> 00:20:01,840 Speaker 2: And any type of debt you can consume in your life, 391 00:20:02,320 --> 00:20:03,600 Speaker 2: how much you think you'll pay. 392 00:20:06,000 --> 00:20:10,520 Speaker 3: Okay, So everything that the average American pays, it's probably less, 393 00:20:10,520 --> 00:20:12,240 Speaker 3: probably like cheez. 394 00:20:12,040 --> 00:20:13,680 Speaker 2: Because house is going to be your big one. 395 00:20:13,840 --> 00:20:16,320 Speaker 3: Yeah, You've always got a car payment, or at least 396 00:20:16,359 --> 00:20:18,400 Speaker 3: a lot of Americans always have a car payment. I'm 397 00:20:18,400 --> 00:20:20,679 Speaker 3: gonna say seven hundred and fifty thousand. 398 00:20:21,119 --> 00:20:23,440 Speaker 1: No, it's a lot higher than that, a. 399 00:20:23,400 --> 00:20:24,840 Speaker 2: Lot higher than you are. 400 00:20:24,880 --> 00:20:25,960 Speaker 1: About a million short. 401 00:20:26,160 --> 00:20:27,760 Speaker 2: Oh, a million short. 402 00:20:27,960 --> 00:20:33,199 Speaker 1: The average American will pay one point seven eighty six 403 00:20:34,400 --> 00:20:40,959 Speaker 1: dollars in debt from ages eighteen to seventy eight. And wow, yeah, okay, 404 00:20:41,000 --> 00:20:45,960 Speaker 1: some debt peaks right age thirty eight with your first 405 00:20:45,960 --> 00:20:49,320 Speaker 1: home purchase. Okay, so they're saying that would be three 406 00:20:49,400 --> 00:20:50,679 Speaker 1: hundred and twenty thousand dollars. 407 00:20:50,760 --> 00:20:51,040 Speaker 2: Okay. 408 00:20:51,480 --> 00:20:55,240 Speaker 1: The second debt peak is around age sixty one for 409 00:20:55,359 --> 00:20:56,880 Speaker 1: a second home purchase. 410 00:20:57,000 --> 00:21:00,200 Speaker 3: Now, this is supposed to be the average American. We're 411 00:21:00,200 --> 00:21:01,920 Speaker 3: talking to you, the average America. 412 00:21:02,000 --> 00:21:04,960 Speaker 1: They are going to be regional differences. Obviously. Now I'm 413 00:21:05,080 --> 00:21:07,600 Speaker 1: in Hawaii, are much more expensive than they are, and 414 00:21:07,600 --> 00:21:08,600 Speaker 1: say West Virginia. 415 00:21:08,720 --> 00:21:11,920 Speaker 3: Now did they mean when they say second home? When 416 00:21:11,920 --> 00:21:14,080 Speaker 3: I heard you say second home purchase? I thought a 417 00:21:14,240 --> 00:21:16,439 Speaker 3: second home like I'm buying a beach house or a 418 00:21:16,520 --> 00:21:19,440 Speaker 3: vacation house. That's not what they mean. No, okay, okay, 419 00:21:20,520 --> 00:21:23,280 Speaker 3: So your downsize or you buy your you have the 420 00:21:23,359 --> 00:21:26,480 Speaker 3: final the final home, the final home, your dream home. 421 00:21:26,520 --> 00:21:28,760 Speaker 3: How about that's a nice There we go, your dream hope. 422 00:21:28,800 --> 00:21:30,760 Speaker 3: So you buy your first home, your family lives in it, 423 00:21:30,840 --> 00:21:32,520 Speaker 3: your kids live in it, and then the kids move 424 00:21:32,520 --> 00:21:35,040 Speaker 3: out and your empty doctors and then you sell that 425 00:21:35,160 --> 00:21:39,720 Speaker 3: home and buy another home, but not a situation where 426 00:21:39,760 --> 00:21:41,040 Speaker 3: you're owning two homes at once. 427 00:21:41,080 --> 00:21:42,719 Speaker 2: Okay, that I can that I can deal with. 428 00:21:42,920 --> 00:21:47,679 Speaker 1: So your debt breakdown looks like this. Mortgages cost about 429 00:21:48,280 --> 00:21:50,440 Speaker 1: sixty two percent of all your debt at one point 430 00:21:50,440 --> 00:21:53,840 Speaker 1: one million dollars, Cars two hundred and forty five thousand, 431 00:21:53,880 --> 00:21:57,320 Speaker 1: credit cards three hundred and eighty seven thousand, and student 432 00:21:57,359 --> 00:21:59,000 Speaker 1: loans thirty five. 433 00:21:58,920 --> 00:22:03,800 Speaker 3: Thousand, credit car cards three hundred and eighty seven thousand. 434 00:22:03,960 --> 00:22:08,240 Speaker 3: The average American pays three hundred and eighty seven thousand 435 00:22:08,280 --> 00:22:12,159 Speaker 3: dollars of credit card debt over their lifetime. If that 436 00:22:12,359 --> 00:22:15,920 Speaker 3: I would throw up if that was me. That is awful. 437 00:22:16,119 --> 00:22:18,520 Speaker 1: They say. The credit card debt peaks in middle age, 438 00:22:18,680 --> 00:22:22,879 Speaker 1: and people are incurring about ninety five hundred dollars a 439 00:22:22,960 --> 00:22:26,800 Speaker 1: year in credit card debt. You're supposed to pay those off, 440 00:22:26,840 --> 00:22:27,359 Speaker 1: by the way. 441 00:22:27,359 --> 00:22:28,960 Speaker 2: Yeah, you're supposed to pay those off. 442 00:22:29,600 --> 00:22:33,200 Speaker 3: Three one hundred and eighty seven thousand dollars of credit 443 00:22:33,320 --> 00:22:35,000 Speaker 3: card debt in your lifetime. 444 00:22:35,720 --> 00:22:38,840 Speaker 1: Student loan debt is the smallest of all of the debts. 445 00:22:39,000 --> 00:22:42,440 Speaker 1: But they also claim that the average American buys four 446 00:22:42,520 --> 00:22:44,000 Speaker 1: cars in a lifetime. 447 00:22:45,480 --> 00:22:47,560 Speaker 3: I've definitely owned a lot more than four cars in 448 00:22:47,560 --> 00:22:49,440 Speaker 3: my lifetime, a lot more. 449 00:22:49,440 --> 00:22:52,240 Speaker 1: Now, what I don't see is whether they're talking about 450 00:22:52,280 --> 00:22:56,480 Speaker 1: new or previously loved, because we tend to buy previously love. 451 00:22:56,680 --> 00:22:59,600 Speaker 3: Yeah, I think we bought maybe one or two new 452 00:22:59,640 --> 00:23:02,480 Speaker 3: cars in our entire lives, and I'll probably never buy 453 00:23:02,480 --> 00:23:05,000 Speaker 3: another new car. But yeah, lots of used cars. I shoot, 454 00:23:05,119 --> 00:23:07,360 Speaker 3: I owned four cars by the time I was thirty. 455 00:23:07,760 --> 00:23:10,960 Speaker 1: Well easily, Yeah, that's true. 456 00:23:12,000 --> 00:23:12,760 Speaker 2: Just this number. 457 00:23:12,760 --> 00:23:15,480 Speaker 1: See little truck that you got into a car accident, 458 00:23:15,720 --> 00:23:18,960 Speaker 1: I mean, nothing caught on fire. You kind of had 459 00:23:19,000 --> 00:23:20,080 Speaker 1: to replace that one. 460 00:23:20,119 --> 00:23:23,639 Speaker 3: Maybe that's a sign that I'm buying that I'm my 461 00:23:24,119 --> 00:23:27,000 Speaker 3: used car purchases haven't been as wise as they could be. 462 00:23:27,240 --> 00:23:29,840 Speaker 3: Maybe I'm not buying the most reliable and best used cars. 463 00:23:29,840 --> 00:23:32,159 Speaker 1: But no, I typically I think that was operator error 464 00:23:32,200 --> 00:23:32,680 Speaker 1: in that one. 465 00:23:32,720 --> 00:23:35,280 Speaker 3: No, we hit a deer, don't get started, and that's 466 00:23:35,320 --> 00:23:39,000 Speaker 3: the deer's problem. I had nature that just came up 467 00:23:39,040 --> 00:23:40,280 Speaker 3: and jumped into the windshield. 468 00:23:40,359 --> 00:23:41,240 Speaker 1: Name on the deer. 469 00:23:41,440 --> 00:23:42,560 Speaker 2: It is the deer's floor. 470 00:23:42,640 --> 00:23:45,800 Speaker 1: It's fur coming up in the vents of the of 471 00:23:45,840 --> 00:23:46,280 Speaker 1: the truck. 472 00:23:46,440 --> 00:23:48,960 Speaker 3: Now, sure, I may have been speeding down a country 473 00:23:49,040 --> 00:23:51,280 Speaker 3: road in the middle of the night when it happened. 474 00:23:51,320 --> 00:23:55,240 Speaker 3: I will take my own responsibility for that aspect of it. 475 00:23:55,280 --> 00:23:58,479 Speaker 3: But that deer came out of nowhere jumped right up 476 00:23:58,520 --> 00:23:59,640 Speaker 3: on our windshield. 477 00:24:00,000 --> 00:24:03,800 Speaker 1: I say that the debt relief window occurs between ages 478 00:24:03,840 --> 00:24:08,320 Speaker 1: twenty three and thirty eight. That is typically the only 479 00:24:08,440 --> 00:24:13,040 Speaker 1: sustained period of someone's life where debt is manageable before 480 00:24:13,160 --> 00:24:15,439 Speaker 1: home ownership spikes obligation. 481 00:24:15,680 --> 00:24:17,880 Speaker 3: Good news for those of us living in Indiana. They 482 00:24:17,880 --> 00:24:21,200 Speaker 3: average nationwide debt one point eight million, Indiana one point 483 00:24:21,240 --> 00:24:21,760 Speaker 3: five million. 484 00:24:22,280 --> 00:24:23,960 Speaker 2: Can do it a little bit better. I just saved 485 00:24:23,960 --> 00:24:25,280 Speaker 2: you three hundred thousand dollars. 486 00:24:25,280 --> 00:24:28,600 Speaker 1: You're welcome for living in the great state of Indiana. 487 00:24:28,800 --> 00:24:29,159 Speaker 2: Correct. 488 00:24:29,640 --> 00:24:33,680 Speaker 1: How often are you using AI at work? Well, it's 489 00:24:33,760 --> 00:24:36,440 Speaker 1: clearly on the rise. Forty five percent of US employees 490 00:24:36,480 --> 00:24:41,000 Speaker 1: are reported using AI, and that is up from forty 491 00:24:41,040 --> 00:24:44,760 Speaker 1: percent just in the past quarter. It ticked up five 492 00:24:44,920 --> 00:24:50,520 Speaker 1: percent just from Q three to Q four. 493 00:24:51,240 --> 00:24:53,200 Speaker 3: Yeah, And I think I think a lot of people 494 00:24:53,200 --> 00:24:55,879 Speaker 3: are using AI, whether it's for work or personal, and 495 00:24:55,880 --> 00:24:56,919 Speaker 3: they're not even aware of it. 496 00:24:56,960 --> 00:24:58,919 Speaker 2: And I'll give you the perfect example of that. Okay, 497 00:24:59,000 --> 00:24:59,800 Speaker 2: Google Search. 498 00:25:00,000 --> 00:25:02,760 Speaker 1: Oh right, because now it has an AI overview. 499 00:25:02,880 --> 00:25:05,760 Speaker 3: Any Google search you do, the very top thing you 500 00:25:05,840 --> 00:25:09,000 Speaker 3: get is an AI overview. And I'm shocked at how 501 00:25:09,680 --> 00:25:12,480 Speaker 3: I've become reliant on that. I don't have to click 502 00:25:12,520 --> 00:25:15,560 Speaker 3: on website links anymore and go through them to sift 503 00:25:15,560 --> 00:25:18,480 Speaker 3: through and find the information and find the information I'm. 504 00:25:18,320 --> 00:25:19,119 Speaker 1: Looking to USAI. 505 00:25:19,359 --> 00:25:22,160 Speaker 3: It's just it's it's just been really convenient and easy. 506 00:25:22,200 --> 00:25:24,639 Speaker 3: So yeah, I use AI with my job a ton, 507 00:25:25,720 --> 00:25:28,520 Speaker 3: because every single Google search I do, there's that AI 508 00:25:28,640 --> 00:25:29,800 Speaker 3: information right at the top. 509 00:25:30,080 --> 00:25:32,280 Speaker 1: They say that ten percent of people use AI daily, 510 00:25:32,359 --> 00:25:35,040 Speaker 1: twenty percent use it a few times a week, and 511 00:25:35,200 --> 00:25:38,359 Speaker 1: the primary applications are forty two percent use it to 512 00:25:38,400 --> 00:25:42,600 Speaker 1: consolidate data, forty one percent use it to generate ideas, 513 00:25:42,680 --> 00:25:47,119 Speaker 1: and thirty six percent use it to learn new things. 514 00:25:48,119 --> 00:25:51,280 Speaker 1: Here's something interesting that I've noticed over the past couple 515 00:25:51,320 --> 00:25:55,240 Speaker 1: of weeks. Now, it seems like more and more every 516 00:25:55,320 --> 00:26:00,560 Speaker 1: day when I'm crafting the template okay for the radiocast, 517 00:26:00,880 --> 00:26:06,399 Speaker 1: there's always an AI story somewhere, something is happening. Well, now, 518 00:26:06,440 --> 00:26:08,879 Speaker 1: I could choose not to put it on the template, sure, 519 00:26:09,320 --> 00:26:13,200 Speaker 1: but there's always an option. More and more articles coming out, 520 00:26:14,320 --> 00:26:17,360 Speaker 1: more you know talkie content. 521 00:26:17,520 --> 00:26:20,639 Speaker 3: Look, this is and this isn't a comment on whether 522 00:26:20,680 --> 00:26:24,240 Speaker 3: AI is good or bad, or data centers or anything 523 00:26:24,359 --> 00:26:28,080 Speaker 3: like that. AI is coming, and it's here, it's well, 524 00:26:28,480 --> 00:26:30,919 Speaker 3: it's but there's so much more to happen to it. 525 00:26:30,960 --> 00:26:33,439 Speaker 3: I mean, we barely even scratch the surface on AI. 526 00:26:33,760 --> 00:26:35,919 Speaker 3: What's going to come in the next five to ten years. 527 00:26:36,200 --> 00:26:39,879 Speaker 3: That train is coming right at us, really really fast, 528 00:26:40,320 --> 00:26:44,240 Speaker 3: and there's absolutely nothing that's going to stop it. And 529 00:26:44,440 --> 00:26:46,679 Speaker 3: you can either figure out how to live life with 530 00:26:46,760 --> 00:26:49,120 Speaker 3: AI or not or. 531 00:26:49,080 --> 00:26:51,720 Speaker 1: Get run over. Well, I mean clearly, when you see 532 00:26:51,760 --> 00:26:55,960 Speaker 1: a five percent increase in AI usage at work just 533 00:26:56,160 --> 00:27:01,360 Speaker 1: over the past quarter of this year, that's a leap. 534 00:27:01,520 --> 00:27:02,640 Speaker 1: This is quite incredible. 535 00:27:02,680 --> 00:27:05,440 Speaker 3: This is what they're calling the AI revolution. Is going 536 00:27:05,480 --> 00:27:09,360 Speaker 3: to make the Industrial revolution and the Internet revolution look 537 00:27:09,600 --> 00:27:10,200 Speaker 3: like nothing. 538 00:27:10,320 --> 00:27:11,000 Speaker 1: Looks silly. 539 00:27:11,119 --> 00:27:12,080 Speaker 2: It is coming fast. 540 00:27:12,160 --> 00:27:15,439 Speaker 1: So Donald Trump has signed an executive order and it 541 00:27:15,520 --> 00:27:18,719 Speaker 1: is to override state AI laws. He would like to 542 00:27:18,800 --> 00:27:25,960 Speaker 1: establish an AI Litigation Task Force. And okay, this is 543 00:27:25,960 --> 00:27:28,840 Speaker 1: such a Donald Trump thing to do potentially withhold federal 544 00:27:28,840 --> 00:27:32,200 Speaker 1: funds from states whose laws conflict with national AI priority. 545 00:27:32,320 --> 00:27:35,199 Speaker 2: What he doesn't do that I thought he doesn't do that. 546 00:27:35,440 --> 00:27:37,399 Speaker 1: I believe he can do that. But the goal is 547 00:27:37,440 --> 00:27:43,359 Speaker 1: to create a national AI policy and strengthen US competitiveness 548 00:27:43,440 --> 00:27:47,119 Speaker 1: against China. They're always using China as the boogieyman, of course, 549 00:27:47,160 --> 00:27:51,640 Speaker 1: because we have to have a boogieyman somewhere. But there 550 00:27:51,720 --> 00:27:53,720 Speaker 1: was a letter that was signed by two hundred and 551 00:27:53,760 --> 00:28:00,520 Speaker 1: eighty lawmakers emphasizing states' rights to protect constituents. South Dakota 552 00:28:00,640 --> 00:28:05,119 Speaker 1: has a law banning election influencing deep fakes, Colorado has 553 00:28:05,160 --> 00:28:08,880 Speaker 1: a law, California has a law. And then you had 554 00:28:08,960 --> 00:28:13,480 Speaker 1: Ron DeSantis who came out and he emphasized that Florida 555 00:28:13,640 --> 00:28:18,359 Speaker 1: retains the right to regulate AI despite Donald Trump's executive 556 00:28:18,480 --> 00:28:21,400 Speaker 1: order seeking a national AI standard. 557 00:28:21,800 --> 00:28:23,560 Speaker 2: Yeah, and look some of these regulations. 558 00:28:23,600 --> 00:28:26,000 Speaker 3: And again this isn't a comment on whether or not 559 00:28:26,119 --> 00:28:29,480 Speaker 3: data centers are good or bad or you know, I 560 00:28:29,600 --> 00:28:32,919 Speaker 3: hate AI or any of that sort of thing. In general, 561 00:28:33,000 --> 00:28:35,800 Speaker 3: as a conservative, I am not a big fan of. 562 00:28:35,720 --> 00:28:37,280 Speaker 2: Any government regulations. 563 00:28:37,520 --> 00:28:40,160 Speaker 3: But what worries me with people calling for we must 564 00:28:40,200 --> 00:28:42,640 Speaker 3: regulate AI more, we must regulate it, we must put 565 00:28:42,640 --> 00:28:46,480 Speaker 3: a stop to it is you know who's not regulating 566 00:28:46,680 --> 00:28:50,600 Speaker 3: the development of AI, China? China. Iran Russia. All of 567 00:28:50,640 --> 00:28:52,920 Speaker 3: our enemies are pouring as much money as they can 568 00:28:52,960 --> 00:28:55,760 Speaker 3: get their hands onto and developing their own AI because 569 00:28:55,760 --> 00:28:58,200 Speaker 3: it is coming and it's coming very fast. So I'm 570 00:28:58,280 --> 00:29:04,520 Speaker 3: leary about regulations that would in hibbit, you know, ingenuity 571 00:29:04,560 --> 00:29:07,120 Speaker 3: and development of AI here because all of our enemies 572 00:29:07,120 --> 00:29:09,800 Speaker 3: are developing it as fast as they absolutely can, and 573 00:29:09,880 --> 00:29:11,680 Speaker 3: we need to be right there with them doing it. 574 00:29:11,800 --> 00:29:14,520 Speaker 1: So Ronda Santas said that he's got a proposal to 575 00:29:14,640 --> 00:29:18,520 Speaker 1: protect consumers from AI risks, and this is important. This 576 00:29:18,560 --> 00:29:20,840 Speaker 1: is something that I don't believe a lot of people 577 00:29:20,880 --> 00:29:25,720 Speaker 1: are thinking about. He would like to restrict AI use 578 00:29:25,880 --> 00:29:30,080 Speaker 1: of a person's name, image, or likeness without permission. And 579 00:29:30,120 --> 00:29:35,680 Speaker 1: when you think about famous people or athletes, or anybody 580 00:29:35,680 --> 00:29:42,160 Speaker 1: who has a contract who has an NIL clause within 581 00:29:42,320 --> 00:29:45,960 Speaker 1: their contract, they had better make sure that there is 582 00:29:46,000 --> 00:29:51,320 Speaker 1: an AI asterisk or stipulation with that, because you can 583 00:29:51,400 --> 00:29:55,280 Speaker 1: be being paid for your NIL, but what is to 584 00:29:55,360 --> 00:30:00,440 Speaker 1: stop that company from using AI to take your IL, 585 00:30:00,880 --> 00:30:04,320 Speaker 1: modify it just a smidge, and continue to use it 586 00:30:04,960 --> 00:30:08,280 Speaker 1: long after you've gone without your permission, and then you 587 00:30:08,280 --> 00:30:09,920 Speaker 1: won't be compensated for it either. 588 00:30:10,240 --> 00:30:13,640 Speaker 3: This is going to be litigated for decades to come. 589 00:30:13,680 --> 00:30:17,240 Speaker 3: You know who's gonna love AI lawyers because they're going 590 00:30:17,320 --> 00:30:20,680 Speaker 3: to be in court arguing the legalities of all of 591 00:30:20,720 --> 00:30:22,520 Speaker 3: this for decades to come. 592 00:30:22,600 --> 00:30:24,480 Speaker 2: Lawyers are going to make a ton of money, as 593 00:30:24,520 --> 00:30:25,200 Speaker 2: they always do. 594 00:30:25,880 --> 00:30:28,400 Speaker 1: So there is a what are they calling it? A 595 00:30:28,560 --> 00:30:35,880 Speaker 1: new standard for masculinity in the United States? Okay, American 596 00:30:35,960 --> 00:30:39,120 Speaker 1: masculinity has a new unit of measure. 597 00:30:40,560 --> 00:30:43,160 Speaker 2: How many beers you can slam in an afternoon. 598 00:30:43,280 --> 00:30:46,680 Speaker 1: Nope, that's not it. It's not it. It is the 599 00:30:46,720 --> 00:30:49,920 Speaker 1: pull up. How many pull ups can you do? How 600 00:30:50,000 --> 00:30:51,400 Speaker 1: strong are you? 601 00:30:51,400 --> 00:30:54,640 Speaker 2: You know what? How many I can do today? Not really? 602 00:30:55,000 --> 00:30:58,040 Speaker 3: You know what, Back in when I was young, I 603 00:30:58,600 --> 00:31:00,400 Speaker 3: could do an absolute ton of pull ups. That guy 604 00:31:00,440 --> 00:31:03,440 Speaker 3: specific Yeah, I was probably at like peak physical condition 605 00:31:03,480 --> 00:31:06,120 Speaker 3: when I was like seventeen, and I specifically remember being 606 00:31:06,160 --> 00:31:08,400 Speaker 3: able to do fifteen pull ups back then. So, and 607 00:31:08,560 --> 00:31:11,160 Speaker 3: by the way, that's pull ups. Chin ups are where 608 00:31:11,680 --> 00:31:14,480 Speaker 3: your palms face you when you grab the bar. Pull 609 00:31:14,560 --> 00:31:16,480 Speaker 3: Ups are when your palms are away from you. Pull 610 00:31:16,560 --> 00:31:18,480 Speaker 3: Ups are more difficult than shit ups. 611 00:31:18,520 --> 00:31:21,520 Speaker 1: This all stems from the Health and Human Services Secretary 612 00:31:21,760 --> 00:31:26,080 Speaker 1: Robert Kennedy and the Transportation Sector Secretary Sean Duffy. They 613 00:31:26,120 --> 00:31:29,320 Speaker 1: installed that pull up bar in the main concourse of 614 00:31:29,440 --> 00:31:33,080 Speaker 1: the airport and they stage that pull up contest, right, 615 00:31:33,160 --> 00:31:36,400 Speaker 1: and the goal was to promote healthier airports with Jim 616 00:31:36,520 --> 00:31:40,240 Speaker 1: set up. Oh yeah, right, So now they're saying that 617 00:31:40,280 --> 00:31:43,600 Speaker 1: the pull up is the measure of how. 618 00:31:45,120 --> 00:31:48,440 Speaker 3: Do they give you a manliness scale? Like, you do 619 00:31:48,720 --> 00:31:51,320 Speaker 3: you do five pull ups, you're you know, you're a whimp. 620 00:31:51,320 --> 00:31:53,360 Speaker 3: If you do ten pull ups, you're okay. 621 00:31:53,400 --> 00:31:54,800 Speaker 2: Yes, Oh really, what is it? 622 00:31:54,880 --> 00:31:56,920 Speaker 1: If you can do a lot of pull ups, you're 623 00:31:56,960 --> 00:31:59,720 Speaker 1: a stud. If you can't do any you're a wimp. 624 00:32:00,040 --> 00:32:03,600 Speaker 2: That's the well, I can't do a lot, but I 625 00:32:03,640 --> 00:32:04,000 Speaker 2: can do it. 626 00:32:04,200 --> 00:32:06,400 Speaker 3: They didn't say that I cannot do a lot of 627 00:32:06,400 --> 00:32:08,960 Speaker 3: pull ups, but I can do more than zero. Okay, 628 00:32:09,080 --> 00:32:11,960 Speaker 3: well maybe not much more than zero, but more than zero. 629 00:32:12,440 --> 00:32:18,880 Speaker 1: Proper pull up form emphasizes controlled negatives slow lowering. Oh okay. 630 00:32:19,040 --> 00:32:21,160 Speaker 1: So they're saying the resistance. 631 00:32:20,600 --> 00:32:25,680 Speaker 3: Like, yeah, you got to release it slow. You're like, well, 632 00:32:25,720 --> 00:32:29,200 Speaker 3: that masochistic Jim teacher that was like, you're doing your push. 633 00:32:29,120 --> 00:32:31,440 Speaker 2: Ups too fast. No, no, no, I'm doing a push up. 634 00:32:31,480 --> 00:32:32,560 Speaker 2: This is the proper form. 635 00:32:32,600 --> 00:32:34,960 Speaker 3: It doesn't matter how fast I do them, they'll be 636 00:32:35,000 --> 00:32:36,600 Speaker 3: getting into this next level stuff. 637 00:32:36,640 --> 00:32:37,480 Speaker 2: I don't like that at all. 638 00:32:37,600 --> 00:32:42,520 Speaker 1: They say the pull up's modern rises, both physical and symbolic. 639 00:32:42,760 --> 00:32:48,760 Speaker 1: It represents fitness, masculinity, and political theater, not just flashy 640 00:32:48,800 --> 00:32:50,840 Speaker 1: performance political theater. 641 00:32:51,080 --> 00:32:53,040 Speaker 3: I don't know what are they saying The conservatives can 642 00:32:53,080 --> 00:32:55,000 Speaker 3: do more pull ups than liberals. 643 00:32:55,680 --> 00:32:58,000 Speaker 2: It's probably true, not because. 644 00:32:57,880 --> 00:32:59,720 Speaker 3: The toy boys that have to put down their oat 645 00:32:59,760 --> 00:33:01,240 Speaker 3: milk before they could do a pro up. 646 00:33:01,400 --> 00:33:03,000 Speaker 2: It's not a very good technique. 647 00:33:03,040 --> 00:33:05,200 Speaker 1: Yeah, and then flip their hair before they'd get up 648 00:33:05,200 --> 00:33:07,680 Speaker 1: there on the bar. It is the Kenney Casey Show. 649 00:33:07,720 --> 00:33:17,200 Speaker 1: It's ninety three WIBCA. Nothing yet. I think you're right. 650 00:33:17,280 --> 00:33:21,320 Speaker 1: I think they peaked kind of early to mid eighties. 651 00:33:22,080 --> 00:33:23,520 Speaker 2: That's my recollection of it. 652 00:33:23,680 --> 00:33:28,560 Speaker 1: Yeah, soap operas at one point they had a massive 653 00:33:28,720 --> 00:33:32,920 Speaker 1: ad revenue of over one point two billion dollars and 654 00:33:33,520 --> 00:33:39,840 Speaker 1: large viewership. It was what thirty million thirty one million viewers. 655 00:33:39,840 --> 00:33:44,520 Speaker 1: The highest rated episode in US soap opera history was 656 00:33:44,640 --> 00:33:49,640 Speaker 1: the nineteen eighty one wedding between Luke and Laura General Hospital, 657 00:33:49,680 --> 00:33:53,160 Speaker 1: General Hospital. Yeah. The guy who played Luke Spencer on 658 00:33:53,240 --> 00:33:57,120 Speaker 1: General Hospital, Anthony Geary. He passed away. He was seventy 659 00:33:57,160 --> 00:34:01,680 Speaker 1: eight years old. It was complications following a scheduled surgery. 660 00:34:01,800 --> 00:34:06,400 Speaker 1: He'd been living in Amsterdam since twenty nineteen. I never 661 00:34:06,880 --> 00:34:10,280 Speaker 1: I never watched General Hospital. That wasn't my that wasn't 662 00:34:10,320 --> 00:34:15,440 Speaker 1: my show. I feel like most soap watchers viewers had 663 00:34:15,480 --> 00:34:16,280 Speaker 1: their channel. 664 00:34:16,480 --> 00:34:18,920 Speaker 2: Oh, they all had their show, and they kept. 665 00:34:18,680 --> 00:34:21,719 Speaker 1: It on that channel all day long. Right, So you 666 00:34:21,960 --> 00:34:24,880 Speaker 1: you didn't watch that channel, you weren't seeing it. 667 00:34:24,960 --> 00:34:25,120 Speaker 2: Right. 668 00:34:25,160 --> 00:34:26,759 Speaker 3: So if you were, you know, if you were big 669 00:34:26,800 --> 00:34:29,560 Speaker 3: into whatever Bold and the Beautiful, that was mind. You 670 00:34:29,600 --> 00:34:31,400 Speaker 3: were watching CBS and you knew that Young and the 671 00:34:31,440 --> 00:34:33,160 Speaker 3: Restless was coming on after that, and you kind of 672 00:34:33,160 --> 00:34:34,840 Speaker 3: watched all the CBS soap operas. 673 00:34:35,080 --> 00:34:37,280 Speaker 2: My mom was a Days. 674 00:34:37,080 --> 00:34:39,600 Speaker 3: Of Our Lives fan, ah, and so that was her 675 00:34:39,640 --> 00:34:41,680 Speaker 3: big thing. I mean, it's kind of on it when 676 00:34:41,680 --> 00:34:43,759 Speaker 3: I was in the house. But when you're a kid, 677 00:34:44,040 --> 00:34:47,600 Speaker 3: was there There was nothing worse than being eight years 678 00:34:47,600 --> 00:34:50,640 Speaker 3: old and your home sick from school. This is back 679 00:34:50,680 --> 00:34:52,759 Speaker 3: in the days before you know cable, and you were 680 00:34:52,800 --> 00:34:55,120 Speaker 3: watching the Prices Fry channels and you knew it was 681 00:34:55,160 --> 00:34:57,520 Speaker 3: soon after price as soon as the Price is Right 682 00:34:57,680 --> 00:35:00,359 Speaker 3: was over. It was nothing but soap operas for the 683 00:35:00,360 --> 00:35:03,120 Speaker 3: rest of the day, and you were just totally miserable, and. 684 00:35:03,200 --> 00:35:05,000 Speaker 1: Well that's when you were supposed to nap and have 685 00:35:05,080 --> 00:35:07,680 Speaker 1: your soup and ginger ale so that you felt better. 686 00:35:07,719 --> 00:35:10,399 Speaker 2: Spoiler alert, I wasn't really sick. I was faking it. 687 00:35:11,160 --> 00:35:12,320 Speaker 2: Just didn't want to go to school. 688 00:35:12,520 --> 00:35:15,400 Speaker 1: I didn't watch General Hospital. That was not mine. I 689 00:35:16,080 --> 00:35:19,080 Speaker 1: watched Guiding Light that was yours. That was mine. And 690 00:35:19,320 --> 00:35:22,680 Speaker 1: at one point when I was in college, I scheduled 691 00:35:22,760 --> 00:35:26,040 Speaker 1: classes around Guiding Lights so that I was in class 692 00:35:26,719 --> 00:35:29,080 Speaker 1: that so I wouldn't miss That is. 693 00:35:29,040 --> 00:35:32,279 Speaker 3: The most Casey Daniels thing I've ever heard, that you 694 00:35:32,360 --> 00:35:36,239 Speaker 3: scheduled your college classes around the soap opera Guiding Light 695 00:35:36,320 --> 00:35:38,040 Speaker 3: so that you wouldn't miss it. Well, hey, we didn't 696 00:35:38,080 --> 00:35:41,160 Speaker 3: have you know, didn't have DVRs to record our shows 697 00:35:41,160 --> 00:35:41,560 Speaker 3: back then. 698 00:35:41,960 --> 00:35:44,279 Speaker 1: I think the big turning port for soap operas, though, 699 00:35:44,440 --> 00:35:49,880 Speaker 1: is they shifted from the social issues into more of 700 00:35:49,920 --> 00:35:54,200 Speaker 1: a fantasy driven plot, you know, I mean, they just 701 00:35:54,239 --> 00:35:59,120 Speaker 1: became They seemed to try for a long time to 702 00:35:59,320 --> 00:36:02,640 Speaker 1: attempt to have their foot in the real world, but 703 00:36:03,239 --> 00:36:08,200 Speaker 1: then it just became more and more unrealists. 704 00:36:08,239 --> 00:36:10,719 Speaker 3: Can you imagine trying to explain soap operas to like 705 00:36:10,760 --> 00:36:15,000 Speaker 3: a seventeen year old today. Okay, so, thirty forty years ago, 706 00:36:15,560 --> 00:36:18,160 Speaker 3: there were all these dramatic shows on every day, and 707 00:36:18,200 --> 00:36:22,320 Speaker 3: the acting was terrible and the writing was terrible, and 708 00:36:21,480 --> 00:36:23,040 Speaker 3: they none of. 709 00:36:22,960 --> 00:36:24,280 Speaker 2: The plot lines were believable. 710 00:36:24,440 --> 00:36:25,760 Speaker 1: Weeks to advance the story. 711 00:36:26,000 --> 00:36:29,360 Speaker 3: Every single show had at least one character who was 712 00:36:29,360 --> 00:36:32,600 Speaker 3: suffering from amnesia at all times. 713 00:36:32,320 --> 00:36:35,279 Speaker 1: Right, or there were always twins and played by the 714 00:36:35,320 --> 00:36:36,000 Speaker 1: same actress. 715 00:36:37,360 --> 00:36:39,360 Speaker 2: Those were huge. People couldn't stop watching them. 716 00:36:39,400 --> 00:36:41,520 Speaker 3: Thirty forty people million people used to watch them, and 717 00:36:41,560 --> 00:36:45,360 Speaker 3: they ruled daytime television. That seventeen year old today couldn't 718 00:36:45,360 --> 00:36:45,920 Speaker 3: comprehend them. 719 00:36:46,000 --> 00:36:49,560 Speaker 1: Yeah, well not not in the TikTok world where your 720 00:36:49,719 --> 00:36:53,200 Speaker 1: attention span is so much shorter. And I mean, the 721 00:36:53,680 --> 00:36:57,200 Speaker 1: storylines on soap operas would drag out. 722 00:36:56,920 --> 00:37:01,560 Speaker 3: For some right will they won't a sexual tension that 723 00:37:01,680 --> 00:37:03,080 Speaker 3: lasts three seasons? 724 00:37:03,680 --> 00:37:03,919 Speaker 2: Yeah? 725 00:37:04,080 --> 00:37:08,440 Speaker 1: And the best part about soap operas is the couple 726 00:37:08,480 --> 00:37:10,960 Speaker 1: who finally got together would have a child and then 727 00:37:11,400 --> 00:37:14,920 Speaker 1: overnight that kid went from being a baby to a teenager. 728 00:37:17,160 --> 00:37:21,040 Speaker 1: That character was involved in love stories. All right, that's 729 00:37:21,040 --> 00:37:22,920 Speaker 1: gonna do it for us today, Thank you Jim for 730 00:37:22,960 --> 00:37:26,000 Speaker 1: coming in and you'll be back tomorrow. Thank you Kevin, 731 00:37:26,480 --> 00:37:29,000 Speaker 1: but mostly thank you for listening. This has been the 732 00:37:29,080 --> 00:37:37,080 Speaker 1: Kendall and Casey Show on ninety three w IBC.