1 00:00:00,080 --> 00:00:02,480 Speaker 1: Little bit of an update of what's going on in Minneapolis. 2 00:00:02,520 --> 00:00:04,880 Speaker 1: What did Donald Trump say? He said that the mayor 3 00:00:04,960 --> 00:00:05,800 Speaker 1: is playing with fire. 4 00:00:06,000 --> 00:00:06,240 Speaker 2: Yeah. 5 00:00:06,240 --> 00:00:08,760 Speaker 3: So Trump just came out with a statement and said 6 00:00:08,840 --> 00:00:13,200 Speaker 3: that he warned Minneapolis Mayor Jacob Fry that he's playing 7 00:00:13,200 --> 00:00:16,560 Speaker 3: with fire if he doesn't enforce federal immigration law. That 8 00:00:16,680 --> 00:00:18,440 Speaker 3: just came out in the last I don't know, fifteen 9 00:00:18,480 --> 00:00:20,000 Speaker 3: twenty minutes Trump had that statement. 10 00:00:20,200 --> 00:00:23,440 Speaker 4: If you got CNN holding a town hall with him tonight. 11 00:00:23,280 --> 00:00:25,200 Speaker 3: Yeah, I had no idea that this was happening. I 12 00:00:25,239 --> 00:00:28,120 Speaker 3: just kind of stumbled upon it. And Yeah, CNN hosting 13 00:00:28,120 --> 00:00:31,720 Speaker 3: a town hall tonight with officials and community leaders, including 14 00:00:31,720 --> 00:00:36,200 Speaker 3: Minneapolis Mayor Fry. It is called State of Emergency, Confronting 15 00:00:36,240 --> 00:00:40,080 Speaker 3: the crisis in Minnesota. A CNN town hall. It will lie. 16 00:00:40,280 --> 00:00:42,519 Speaker 3: It will air live at eight pm tonight. 17 00:00:42,280 --> 00:00:43,680 Speaker 4: So it'll go for what an hour? 18 00:00:44,080 --> 00:00:46,160 Speaker 5: Probably probably that's how long those usually last. 19 00:00:46,400 --> 00:00:49,240 Speaker 4: So an hour promotion of a liberal talking point. 20 00:00:49,320 --> 00:00:51,800 Speaker 3: Yeah, I'm gonna go straight ahead and ignore that and 21 00:00:51,880 --> 00:00:53,520 Speaker 3: be sure to not watch that this evening. 22 00:00:53,680 --> 00:00:55,680 Speaker 4: So how confident are you in the economy? 23 00:00:56,040 --> 00:01:01,920 Speaker 1: Mm. It's interesting because confidence in the company it fell 24 00:01:01,960 --> 00:01:05,040 Speaker 1: to its lowest level in twelve years according to the 25 00:01:05,120 --> 00:01:06,200 Speaker 1: Conference Board. 26 00:01:07,040 --> 00:01:09,480 Speaker 4: And people are still buying stuff though. 27 00:01:09,880 --> 00:01:11,839 Speaker 3: Yeah, and this is a this is a common metric 28 00:01:11,880 --> 00:01:14,959 Speaker 3: that we look at a lot. It's consumer confidence and 29 00:01:15,000 --> 00:01:16,520 Speaker 3: how it says. Now, you got to keep in mind 30 00:01:16,920 --> 00:01:19,280 Speaker 3: when they do this survey and they ask about it, 31 00:01:19,319 --> 00:01:23,080 Speaker 3: this is strictly the way Americans feel. 32 00:01:23,280 --> 00:01:24,560 Speaker 4: Oh, how you feed. 33 00:01:24,720 --> 00:01:28,720 Speaker 3: There's no data associated with this other than their individual responses. 34 00:01:28,760 --> 00:01:32,000 Speaker 3: They're not correlating this with wages and inflation and GDP. 35 00:01:32,160 --> 00:01:35,360 Speaker 3: They're just asking actual numbers, right, It's just asking people 36 00:01:35,600 --> 00:01:37,880 Speaker 3: how confident are you in the US economy? 37 00:01:37,880 --> 00:01:39,319 Speaker 5: And it's taken a big dip. 38 00:01:39,680 --> 00:01:41,399 Speaker 3: And we talked a little bit about this because it 39 00:01:41,400 --> 00:01:44,760 Speaker 3: was a different story yesterday or Monday that you know, 40 00:01:44,800 --> 00:01:49,280 Speaker 3: there is this split that is happening. If you are 41 00:01:49,280 --> 00:01:52,160 Speaker 3: primarily driving your wealth via capital. If you now owned 42 00:01:52,200 --> 00:01:54,120 Speaker 3: a house for the last ten years, if you've owned 43 00:01:54,160 --> 00:01:56,120 Speaker 3: stock for the last ten years, if you own a 44 00:01:56,160 --> 00:01:59,200 Speaker 3: small business, things are probably looking great because the value 45 00:01:59,200 --> 00:01:59,920 Speaker 3: of assets of. 46 00:02:00,040 --> 00:02:00,600 Speaker 5: On through the roof. 47 00:02:00,640 --> 00:02:02,920 Speaker 3: Jeez, if you've owned gold or silver, we talked about 48 00:02:02,960 --> 00:02:05,240 Speaker 3: that yesterday, the price of gold and silver through the roof. 49 00:02:05,280 --> 00:02:07,960 Speaker 3: So if you've owned things for a good bit of time. 50 00:02:08,040 --> 00:02:11,239 Speaker 3: The last ten or twenty years, things probably feel pretty 51 00:02:11,240 --> 00:02:13,760 Speaker 3: good for you because those assets have all gone up 52 00:02:13,800 --> 00:02:16,760 Speaker 3: in value, and a lot of times significantly up in value. 53 00:02:16,760 --> 00:02:20,160 Speaker 3: But most Americans, there's certainly a lot of Americans don't 54 00:02:20,160 --> 00:02:23,359 Speaker 3: have a ton of assets, and they're relying on their 55 00:02:23,400 --> 00:02:26,000 Speaker 3: paycheck to create that value from and so I think 56 00:02:26,040 --> 00:02:30,320 Speaker 3: that's where we're seeing this kind of uneven and hollow 57 00:02:30,480 --> 00:02:33,800 Speaker 3: economic growth. The GDP numbers have been fantastic. They revised 58 00:02:33,800 --> 00:02:35,440 Speaker 3: them for third quarter. I think it was like four 59 00:02:35,440 --> 00:02:37,720 Speaker 3: point five percent. We're getting ready for the fourth quarter 60 00:02:37,800 --> 00:02:41,000 Speaker 3: GDP numbers to come out. All the economists are saying 61 00:02:41,120 --> 00:02:43,280 Speaker 3: it's going to be well over five percent, maybe five 62 00:02:43,280 --> 00:02:44,960 Speaker 3: and a half percent. So you're going to keep hearing 63 00:02:44,960 --> 00:02:47,120 Speaker 3: this story about how the economy is great because the 64 00:02:47,160 --> 00:02:49,880 Speaker 3: GDP is fantastic and the trade deficit has gone down. 65 00:02:50,080 --> 00:02:51,480 Speaker 3: But the fact of the matter is there are a 66 00:02:51,480 --> 00:02:54,040 Speaker 3: lot of Americans that are just struggling every single day 67 00:02:54,080 --> 00:02:56,640 Speaker 3: to pay their bills. And that's where we're seeing the 68 00:02:56,680 --> 00:02:58,720 Speaker 3: results of this plunging consumer confidence. 69 00:02:59,160 --> 00:03:02,160 Speaker 1: The Consumer Common to Confidence Index, it dropped nine point 70 00:03:02,240 --> 00:03:04,960 Speaker 1: seven points. It went to eighty four and a half 71 00:03:04,960 --> 00:03:07,720 Speaker 1: in January and it was down from ninety four point 72 00:03:07,800 --> 00:03:10,800 Speaker 1: two in December. Twenty three percent of the respondents said 73 00:03:11,200 --> 00:03:15,160 Speaker 1: jobs are plentiful, but it's down. 74 00:03:15,240 --> 00:03:15,960 Speaker 4: And one of the. 75 00:03:15,919 --> 00:03:21,960 Speaker 1: Reasons why they're claiming they're not confident is inflation, gas 76 00:03:22,000 --> 00:03:26,600 Speaker 1: and grocery costs, tariffs, politics, the labor market, health insurance, 77 00:03:26,919 --> 00:03:30,280 Speaker 1: and war. They cited all of those things as key concern. 78 00:03:30,760 --> 00:03:36,360 Speaker 1: The economists said that consumer pessimism may reflect fears of 79 00:03:36,480 --> 00:03:39,960 Speaker 1: AI related job losses. Yeah, if you despite the strong 80 00:03:40,040 --> 00:03:41,240 Speaker 1: GDP growth, if. 81 00:03:41,080 --> 00:03:44,240 Speaker 3: You're an average American and you look at inflation and 82 00:03:44,320 --> 00:03:47,920 Speaker 3: grocery bills and healthcare costs and the job market and 83 00:03:48,000 --> 00:03:51,440 Speaker 3: property taxes, the average American is going to say, yeah, 84 00:03:51,480 --> 00:03:54,000 Speaker 3: I don't feel better off than I was before. 85 00:03:54,040 --> 00:03:56,280 Speaker 5: So it's not a surprise and it's not just pessimism. 86 00:03:56,600 --> 00:03:59,640 Speaker 3: This is real economic stress that a lot of American 87 00:03:59,680 --> 00:04:02,400 Speaker 3: can us are sitting under and it's showing up in 88 00:04:02,440 --> 00:04:04,520 Speaker 3: this dramatic drop in consumer confidence. 89 00:04:04,920 --> 00:04:09,680 Speaker 1: Speaking of those AI related fears, Pinterest has announced it's 90 00:04:09,680 --> 00:04:12,880 Speaker 1: going to lay off fifteen percent of its workforce. And 91 00:04:13,000 --> 00:04:16,800 Speaker 1: the reason why AI focused restructuring. That's what you have 92 00:04:16,920 --> 00:04:20,240 Speaker 1: going on with a social media platform they're going to 93 00:04:20,400 --> 00:04:24,760 Speaker 1: use AI powered products like Pinterest Assistant, and that's supposed 94 00:04:24,800 --> 00:04:27,720 Speaker 1: to help you shop, like you need AI to help 95 00:04:27,760 --> 00:04:30,800 Speaker 1: you shop, but Pinterest they're going to do it. They're 96 00:04:31,000 --> 00:04:33,800 Speaker 1: they're laying off real humans for AI. 97 00:04:34,080 --> 00:04:36,520 Speaker 3: By the way, fifteen percent. I had no idea Pinterest 98 00:04:36,520 --> 00:04:39,280 Speaker 3: had this many employees. If they lay off fifteen percent 99 00:04:39,400 --> 00:04:43,600 Speaker 3: of their total employee base, that's over five thousand employees. 100 00:04:43,839 --> 00:04:48,279 Speaker 3: We had another story this morning about Amazon cutting again. 101 00:04:48,360 --> 00:04:52,440 Speaker 3: They're cutting fifteen thousand jobs. And again Amazon siting AI 102 00:04:52,600 --> 00:04:56,159 Speaker 3: powered productivity to where AI is going to be doing 103 00:04:56,200 --> 00:04:57,800 Speaker 3: a lot of the work and so they're not going 104 00:04:57,839 --> 00:04:59,039 Speaker 3: to need more employees. 105 00:04:59,440 --> 00:05:01,760 Speaker 5: We talked to a lot about AI on yesterday's show. 106 00:05:02,279 --> 00:05:02,760 Speaker 5: It's here. 107 00:05:03,240 --> 00:05:07,000 Speaker 3: It's ramping up faster and faster than ever, and all 108 00:05:07,040 --> 00:05:09,760 Speaker 3: of us individually need to be prepared for the consequences 109 00:05:09,800 --> 00:05:12,280 Speaker 3: because it just seems like the rate of change is 110 00:05:12,320 --> 00:05:13,760 Speaker 3: coming at an astronomical rate. 111 00:05:13,960 --> 00:05:16,239 Speaker 1: UPS has announced that they're going to be cutting thirty 112 00:05:16,320 --> 00:05:19,719 Speaker 1: thousand operational jobs this year. They're going to do it 113 00:05:19,760 --> 00:05:24,200 Speaker 1: through voluntary buyouts for full time drivers and also through attrition. 114 00:05:24,360 --> 00:05:27,600 Speaker 1: They're closing twenty four buildings in the first part of 115 00:05:27,680 --> 00:05:31,280 Speaker 1: this year, they say that they're going to reevaluate and 116 00:05:31,320 --> 00:05:34,440 Speaker 1: they're going to look at more closures later on, and 117 00:05:34,640 --> 00:05:39,960 Speaker 1: they're going through this network reconfiguration also reduction and Amazon shipments. 118 00:05:40,440 --> 00:05:44,960 Speaker 1: And they had previously cut thirty four thousand operational jobs 119 00:05:45,040 --> 00:05:48,720 Speaker 1: and a lot of management positions. So here's another company 120 00:05:49,200 --> 00:05:52,599 Speaker 1: that's downsizing again and again. 121 00:05:52,839 --> 00:05:56,400 Speaker 3: The nationwide data shows that the job market is strong. 122 00:05:56,600 --> 00:05:59,160 Speaker 3: Four point four percent is the current unemployment rate. That's 123 00:05:59,200 --> 00:06:01,760 Speaker 3: a pretty good unemployment rate. Oh, of course, would we 124 00:06:01,839 --> 00:06:04,039 Speaker 3: like it to be closer to three percent, sure, but 125 00:06:04,120 --> 00:06:06,080 Speaker 3: it's you know, way off being in trouble. I think 126 00:06:06,120 --> 00:06:08,480 Speaker 3: when we get to start six seven eight percent is 127 00:06:08,520 --> 00:06:11,200 Speaker 3: when the warning signs start flashing. As far as the 128 00:06:11,279 --> 00:06:14,800 Speaker 3: unemployment rate, we're well below that right now. But most 129 00:06:14,839 --> 00:06:19,479 Speaker 3: Americans in their everyday lives just continue to struggle to 130 00:06:19,560 --> 00:06:22,159 Speaker 3: provide the basics. And that's why we keep seeing this 131 00:06:22,240 --> 00:06:23,360 Speaker 3: plunge in consumer confidence. 132 00:06:23,400 --> 00:06:25,919 Speaker 1: You've got over one hundred companies that have announced layoffs 133 00:06:25,960 --> 00:06:29,600 Speaker 1: so far in twenty twenty six January twenty eighth, and 134 00:06:29,640 --> 00:06:32,039 Speaker 1: you've got one hundred companies that have announced layoffs and 135 00:06:32,240 --> 00:06:35,320 Speaker 1: it doesn't affect tens of thousands of employees and the 136 00:06:35,360 --> 00:06:40,920 Speaker 1: reasons given include AI adoption, economic uncertainty, also cost cutting, 137 00:06:41,120 --> 00:06:45,520 Speaker 1: and last year there was one point one million layoffs 138 00:06:45,760 --> 00:06:49,640 Speaker 1: some of the big companies Amazon, Nike, Meta, Pinterest, and 139 00:06:49,760 --> 00:06:55,080 Speaker 1: also ups that we just mentioned. But potus Donald Trump, 140 00:06:55,400 --> 00:06:58,039 Speaker 1: he has just announced that John Deere is going to 141 00:06:58,040 --> 00:07:01,120 Speaker 1: move production back to the US, and today. 142 00:07:00,880 --> 00:07:04,440 Speaker 6: I please show announce one more historic investment. The great 143 00:07:05,120 --> 00:07:08,359 Speaker 6: American company that we just talked about is doing so 144 00:07:08,520 --> 00:07:11,120 Speaker 6: much I have to give. I have to give it 145 00:07:11,160 --> 00:07:14,400 Speaker 6: really buy so much equipment from so many of the 146 00:07:14,440 --> 00:07:15,800 Speaker 6: people in the You know, we have a lot of 147 00:07:15,880 --> 00:07:18,760 Speaker 6: very successful companies in here. But I know it's a 148 00:07:18,920 --> 00:07:23,280 Speaker 6: very a very special deal because John Deere is doing 149 00:07:23,320 --> 00:07:26,960 Speaker 6: seventy million dollars in factory in North Carolina's brand new, 150 00:07:27,320 --> 00:07:30,280 Speaker 6: the best in the world. And I think it's going 151 00:07:30,320 --> 00:07:33,160 Speaker 6: to pay off very, very big. And if it doesn't, 152 00:07:33,880 --> 00:07:36,960 Speaker 6: I have nothing to do with it. But if it does, 153 00:07:37,040 --> 00:07:39,760 Speaker 6: I'm going to take I'm going to take full credit. 154 00:07:41,480 --> 00:07:44,200 Speaker 6: But what it is is an excavator factory, as I 155 00:07:44,280 --> 00:07:47,760 Speaker 6: understand it, and it's going to be the only excavator factory. 156 00:07:48,440 --> 00:07:51,760 Speaker 6: In other words, excavators. We all I love those excavators, 157 00:07:51,840 --> 00:07:52,480 Speaker 6: believe it, and. 158 00:07:52,400 --> 00:07:54,800 Speaker 5: I know a lot about them. We don't make them here. 159 00:07:55,080 --> 00:07:58,840 Speaker 6: This is going to be the only excavator entirely made 160 00:07:58,880 --> 00:08:04,160 Speaker 6: in the United States that I love it. 161 00:08:05,360 --> 00:08:10,080 Speaker 1: Okay, so this is going to move about seventy well, 162 00:08:10,080 --> 00:08:12,600 Speaker 1: it's a seventy million dollar investment and it's going to 163 00:08:12,680 --> 00:08:17,000 Speaker 1: go from Japan to North Carolina. But this is a 164 00:08:17,080 --> 00:08:20,559 Speaker 1: strategic shift caused by the tariffs from Donald Trump. 165 00:08:20,640 --> 00:08:22,160 Speaker 3: And again it goes back to what we talked about 166 00:08:22,240 --> 00:08:24,280 Speaker 3: just a few minutes ago about how it's kind of 167 00:08:24,320 --> 00:08:28,160 Speaker 3: this K shaped recovery in the economy. If you own stocks, 168 00:08:28,160 --> 00:08:30,960 Speaker 3: you own a house, your net worth is going up. 169 00:08:31,000 --> 00:08:33,160 Speaker 3: If you're relying on a paycheck, your net worth is 170 00:08:33,200 --> 00:08:35,080 Speaker 3: going down. And it's similar to this because a lot 171 00:08:35,120 --> 00:08:37,040 Speaker 3: of those layoffs that we just mentioned, a lot of 172 00:08:37,120 --> 00:08:40,160 Speaker 3: them are white collar jobs. Even ups, a lot of 173 00:08:40,200 --> 00:08:42,400 Speaker 3: their layoffs are going to be white collar jobs. We 174 00:08:42,440 --> 00:08:45,320 Speaker 3: talked about Amazon and their layoffs and pinterest in those layoffs. 175 00:08:45,559 --> 00:08:47,320 Speaker 3: I think we're seeing a shift here again to where 176 00:08:47,400 --> 00:08:51,000 Speaker 3: white collar jobs are really struggling and suffering, probably driven 177 00:08:51,040 --> 00:08:54,880 Speaker 3: a lot by AI. Yet manufacturing jobs seem to be 178 00:08:54,960 --> 00:08:58,120 Speaker 3: holding up better. Things like manufacturing. With John Deere coming 179 00:08:58,160 --> 00:09:00,680 Speaker 3: back to this country, those are going. 180 00:09:00,600 --> 00:09:02,760 Speaker 5: To be harder to replace. Via AI. 181 00:09:03,200 --> 00:09:04,000 Speaker 4: Before we hear. 182 00:09:03,880 --> 00:09:06,920 Speaker 1: From the former Trump economic advisor Stephen Moore and his 183 00:09:07,000 --> 00:09:09,360 Speaker 1: talk about the economy, I have to ask you when 184 00:09:09,400 --> 00:09:11,960 Speaker 1: we say, when we talk about John Deere, Yeah, do 185 00:09:12,040 --> 00:09:13,640 Speaker 1: you think of the country song John Dee. 186 00:09:13,559 --> 00:09:16,439 Speaker 3: Green by Joe Diffy. Every single time. 187 00:09:16,320 --> 00:09:18,480 Speaker 1: Billy Bob loves Charlene, the whole town said he should 188 00:09:18,480 --> 00:09:19,360 Speaker 1: have shows read, but. 189 00:09:19,360 --> 00:09:20,600 Speaker 5: It looked good to Charlene. 190 00:09:20,679 --> 00:09:22,160 Speaker 4: Yeah, he chose John Deere Green. 191 00:09:22,240 --> 00:09:22,559 Speaker 1: We know. 192 00:09:25,400 --> 00:09:27,400 Speaker 3: The fact that I know all the lyrics from some 193 00:09:27,640 --> 00:09:31,880 Speaker 3: random nineties country song stuck in my head for the 194 00:09:31,960 --> 00:09:35,080 Speaker 3: last thirty years. Yes, every time I see John Deere, 195 00:09:35,160 --> 00:09:37,480 Speaker 3: hear anything mentioned about don John Deere, that's the first 196 00:09:37,520 --> 00:09:39,480 Speaker 3: thing I go do, is that Joe Diffie song John 197 00:09:39,520 --> 00:09:40,000 Speaker 3: Deere Green. 198 00:09:40,520 --> 00:09:43,960 Speaker 1: Here is Stephen Moore and he's saying the economy. 199 00:09:44,080 --> 00:09:46,040 Speaker 4: He's a former Trump economic advisor. 200 00:09:46,280 --> 00:09:50,240 Speaker 1: He's saying that Trump is delivering a good economy and 201 00:09:50,280 --> 00:09:51,720 Speaker 1: it's actually booming right now. 202 00:09:52,040 --> 00:09:54,680 Speaker 7: Well, there's a perception and a reality on the economy, 203 00:09:54,720 --> 00:09:57,600 Speaker 7: and certainly the perception has been poor. I mean, Trump 204 00:09:57,679 --> 00:10:00,600 Speaker 7: has been underwater on the economy now with bo for 205 00:10:00,920 --> 00:10:03,760 Speaker 7: no matter what poll is taken. And yet as I 206 00:10:03,800 --> 00:10:06,800 Speaker 7: look at the facts of the economy, it's it is 207 00:10:06,840 --> 00:10:09,480 Speaker 7: a booming economy. We you know, the latest report is 208 00:10:09,480 --> 00:10:11,840 Speaker 7: almost five and a half percent growth in the fourth quarter, 209 00:10:12,320 --> 00:10:15,280 Speaker 7: which is an incredible number. We haven't seen that in 210 00:10:15,360 --> 00:10:18,800 Speaker 7: recent memory. We've got gas prices down, inflation has headed 211 00:10:18,840 --> 00:10:21,760 Speaker 7: down to the two percent target media and family income 212 00:10:22,080 --> 00:10:24,240 Speaker 7: last year was up twenty five hundred. Those are people 213 00:10:24,280 --> 00:10:27,480 Speaker 7: in the exact middle adjuster for inflation. I mean, I 214 00:10:27,480 --> 00:10:30,560 Speaker 7: could go on and on with the positive elements of 215 00:10:30,600 --> 00:10:35,160 Speaker 7: this story, and yet for some reason, Americans aren't feeling 216 00:10:35,160 --> 00:10:35,480 Speaker 7: the love. 217 00:10:35,800 --> 00:10:39,880 Speaker 5: And that's a problem for the Republican And that big problem. 218 00:10:39,480 --> 00:10:42,559 Speaker 1: That goes back to exactly what you were saying, is 219 00:10:42,600 --> 00:10:44,560 Speaker 1: that people feel like it's down, but when you look 220 00:10:44,600 --> 00:10:46,400 Speaker 1: at the facts, it's going pretty good. 221 00:10:46,520 --> 00:10:49,280 Speaker 3: And again, the stock market is not the economy. 222 00:10:49,720 --> 00:10:49,920 Speaker 5: You know. 223 00:10:50,000 --> 00:10:52,160 Speaker 3: That's a big part of this is that people feel, oh, 224 00:10:52,240 --> 00:10:54,480 Speaker 3: the stock market keeps hitting record highs, yet that that's 225 00:10:54,559 --> 00:10:57,360 Speaker 3: not the economy. That's again and again that's asset driven. 226 00:10:57,600 --> 00:10:59,200 Speaker 3: And so this guy just said a lot of things 227 00:10:59,240 --> 00:10:59,959 Speaker 3: that we've been saying. 228 00:11:00,120 --> 00:11:01,120 Speaker 5: This is going to be a. 229 00:11:01,040 --> 00:11:03,800 Speaker 3: Big problem for Donald Trump and Republicans. We are ten 230 00:11:03,840 --> 00:11:07,720 Speaker 3: months away from the midterm election, and the overall we've 231 00:11:07,720 --> 00:11:10,600 Speaker 3: got declining consumer confidence. We've got just kind of an 232 00:11:10,679 --> 00:11:14,200 Speaker 3: overall sense that the economy is not going well by 233 00:11:14,240 --> 00:11:16,319 Speaker 3: a lot of Americans. And that was a big part 234 00:11:16,320 --> 00:11:18,400 Speaker 3: of what Donald Trump ran on in twenty twenty four, 235 00:11:18,640 --> 00:11:21,160 Speaker 3: and so far he has not delivered on it to 236 00:11:21,240 --> 00:11:23,760 Speaker 3: the degree that he promised. That is going to come 237 00:11:23,760 --> 00:11:25,480 Speaker 3: back to bite him. He's got ten months now to 238 00:11:25,520 --> 00:11:26,200 Speaker 3: get that changed. 239 00:11:26,240 --> 00:11:29,480 Speaker 1: So it's either a messaging problem or a realistic problem. 240 00:11:29,559 --> 00:11:30,319 Speaker 5: I think it's both. 241 00:11:30,440 --> 00:11:32,880 Speaker 3: It's both of these things, because you can't sit here 242 00:11:33,000 --> 00:11:35,480 Speaker 3: and talk to a small town person in Middle America 243 00:11:35,520 --> 00:11:37,680 Speaker 3: and say this economy's great, look at the stock market 244 00:11:37,679 --> 00:11:39,680 Speaker 3: and the GDP, and that person looks at him and goes, 245 00:11:39,800 --> 00:11:41,760 Speaker 3: I don't know what you're talking about. I've got a 246 00:11:41,840 --> 00:11:44,720 Speaker 3: job where I'm making twelve thirteen dollars an hour and. 247 00:11:44,640 --> 00:11:46,640 Speaker 4: My wages aren't keeping up there, they're not keeping. 248 00:11:46,480 --> 00:11:48,880 Speaker 3: Up with inflation, and my property taxes are killing me. 249 00:11:48,960 --> 00:11:51,000 Speaker 3: And that's not what I'm seeing. You can't have that 250 00:11:51,080 --> 00:11:54,160 Speaker 3: conversation with somebody because it just seems like you're lying 251 00:11:54,200 --> 00:11:56,800 Speaker 3: to them as the politician, when in fact, yes, the 252 00:11:56,800 --> 00:11:59,200 Speaker 3: GDP is good, Yes the stock market is good, but 253 00:11:59,280 --> 00:12:02,319 Speaker 3: that doesn't necessar ly translate to average everyday Americans. 254 00:12:02,360 --> 00:12:06,120 Speaker 1: Well, if you are feeling confident in the you know, 255 00:12:06,160 --> 00:12:09,720 Speaker 1: in consuming things, maybe Friday is your day to go 256 00:12:09,760 --> 00:12:13,920 Speaker 1: out shopping. Because liberals are planning a strike on Friday, 257 00:12:13,960 --> 00:12:16,000 Speaker 1: and they threaten not to go to work and also 258 00:12:16,280 --> 00:12:17,040 Speaker 1: not to shop. 259 00:12:17,840 --> 00:12:22,560 Speaker 8: We're striking Friday, all of us. We are striking Friday. 260 00:12:22,960 --> 00:12:25,400 Speaker 8: It's a nationwide general strike. 261 00:12:25,520 --> 00:12:25,760 Speaker 4: Okay. 262 00:12:26,080 --> 00:12:26,680 Speaker 5: That means you. 263 00:12:26,640 --> 00:12:29,800 Speaker 8: Don't go to work, you don't go to school, you 264 00:12:29,920 --> 00:12:31,120 Speaker 8: don't shop. 265 00:12:31,360 --> 00:12:31,720 Speaker 4: Oh. 266 00:12:31,760 --> 00:12:35,600 Speaker 9: Remember, all of these things are tied into capitalism. It 267 00:12:35,640 --> 00:12:40,080 Speaker 9: is a socioeconomic system that demands state violence like what 268 00:12:40,080 --> 00:12:43,320 Speaker 9: we're seeing in Minneapolis, but also what we saw years ago. 269 00:12:43,120 --> 00:12:47,160 Speaker 8: With Filando Castile. So on Friday, what are we doing. 270 00:12:49,160 --> 00:12:50,440 Speaker 8: We're striking guys? 271 00:12:50,720 --> 00:12:54,880 Speaker 1: Great sho Okay, anyway, haven't they tried that before? 272 00:12:54,960 --> 00:12:57,200 Speaker 4: They've tried once a week they come up with you. 273 00:12:57,200 --> 00:13:00,199 Speaker 3: You remember, after Trump won the election, and they're a 274 00:13:00,200 --> 00:13:01,800 Speaker 3: bunch of liberal women on social media. 275 00:13:01,800 --> 00:13:03,960 Speaker 5: I think it was called the four B movement. They 276 00:13:04,000 --> 00:13:06,880 Speaker 5: were going to they were going to stop having relations 277 00:13:06,960 --> 00:13:07,440 Speaker 5: with men. 278 00:13:07,559 --> 00:13:10,520 Speaker 3: That's gonna show that that ladies get together, we're not 279 00:13:10,600 --> 00:13:12,880 Speaker 3: giving it up for the men anymore, and that'll. 280 00:13:12,600 --> 00:13:14,320 Speaker 5: Institute change in this country. 281 00:13:14,400 --> 00:13:16,360 Speaker 3: And you heard that for about two days and then 282 00:13:16,360 --> 00:13:18,640 Speaker 3: we haven't heard anything about it since. And liberals have 283 00:13:18,679 --> 00:13:21,400 Speaker 3: tried this before, where they've tried to boycott certain entities 284 00:13:21,400 --> 00:13:24,640 Speaker 3: and organizations and call for a labor strike and it's 285 00:13:24,720 --> 00:13:27,600 Speaker 3: just never panned out. I can't imagine that this call 286 00:13:27,679 --> 00:13:29,680 Speaker 3: for a strike on Friday is going to be any different. 287 00:13:29,840 --> 00:13:31,640 Speaker 3: People are going to go around and live their lives 288 00:13:31,720 --> 00:13:33,560 Speaker 3: and get back to what we talked about before. 289 00:13:33,720 --> 00:13:34,000 Speaker 4: Again. 290 00:13:34,080 --> 00:13:36,840 Speaker 3: If I'm somebody that's struggling to pay my bills, groceries 291 00:13:36,880 --> 00:13:39,959 Speaker 3: are out of control, property taxes are killing me, and 292 00:13:40,040 --> 00:13:40,839 Speaker 3: you're telling. 293 00:13:40,600 --> 00:13:41,960 Speaker 5: Me to what take it? 294 00:13:42,040 --> 00:13:44,640 Speaker 3: Not go to work, virtue signal and take a day 295 00:13:44,640 --> 00:13:47,000 Speaker 3: off work so that I don't make any money that day? 296 00:13:47,040 --> 00:13:47,840 Speaker 5: Are you kidding me? 297 00:13:48,040 --> 00:13:48,240 Speaker 4: Yeah? 298 00:13:48,760 --> 00:13:51,160 Speaker 3: It just seems tone deaf from a liberal perspective. This 299 00:13:51,240 --> 00:13:54,920 Speaker 3: is going to go over absolutely terribly and I can't 300 00:13:54,920 --> 00:13:56,400 Speaker 3: wait to see the results of it. 301 00:13:56,880 --> 00:13:58,720 Speaker 1: It is the kind of a Casey show. It's ninety 302 00:13:58,720 --> 00:14:11,720 Speaker 1: three WYBC. They announced the data at Victory Field on 303 00:14:11,760 --> 00:14:15,320 Speaker 1: May fifteenth and sixteenth, and it features the Party Animals 304 00:14:15,360 --> 00:14:19,640 Speaker 1: and the new Indianapolis Clowns and the Savannah Bananas. Banana 305 00:14:19,680 --> 00:14:24,120 Speaker 1: Ball World tour continues on. Tickets went on sale nine 306 00:14:24,280 --> 00:14:26,000 Speaker 1: thirty in the morning. They were sold out by noon. 307 00:14:26,040 --> 00:14:27,760 Speaker 1: It was via a lottery system. 308 00:14:27,960 --> 00:14:29,080 Speaker 5: How fascinating. 309 00:14:29,160 --> 00:14:31,320 Speaker 3: I love everything about this, even though I've never seen 310 00:14:31,320 --> 00:14:33,800 Speaker 3: the Savannah Bananas perform live. But if you've heard the 311 00:14:33,840 --> 00:14:37,560 Speaker 3: guy that started this and runs it himself, they've done 312 00:14:37,720 --> 00:14:42,000 Speaker 3: everything possible to make this all about the consumer experience 313 00:14:42,160 --> 00:14:46,880 Speaker 3: and done it in spite of making additional profits for 314 00:14:47,440 --> 00:14:52,160 Speaker 3: controlling ticket prices, controlling concession prices and parking prices, making 315 00:14:52,200 --> 00:14:54,240 Speaker 3: sure that if somebody goes up to stand in line 316 00:14:54,240 --> 00:14:57,240 Speaker 3: for concessions that they wait less than a minute. I mean, 317 00:14:57,280 --> 00:15:00,640 Speaker 3: it's when you hear this guy who is this and 318 00:15:00,680 --> 00:15:03,600 Speaker 3: started this whole organization talk, it's no surprise that they've 319 00:15:03,600 --> 00:15:05,320 Speaker 3: gotten so popular. 320 00:15:04,920 --> 00:15:07,800 Speaker 5: And just keep growing and growing and growing. It's a 321 00:15:07,840 --> 00:15:08,440 Speaker 5: great story. 322 00:15:08,600 --> 00:15:11,040 Speaker 1: The tickets went on sale via a lottery system and 323 00:15:11,080 --> 00:15:14,120 Speaker 1: each buyer could get up to five tickets, and the 324 00:15:14,160 --> 00:15:18,320 Speaker 1: fans were warned to avoid any resale scams and only 325 00:15:18,400 --> 00:15:20,440 Speaker 1: tickets bought directly from the bananas. 326 00:15:20,720 --> 00:15:22,160 Speaker 4: We're going to be guaranteed. 327 00:15:22,760 --> 00:15:25,480 Speaker 1: The Banana Ball Championship League is going to play in 328 00:15:25,480 --> 00:15:28,960 Speaker 1: seventy five stadiums across forty five different states, and they 329 00:15:28,960 --> 00:15:32,680 Speaker 1: have entertained like three point two million fans so far. 330 00:15:32,840 --> 00:15:34,440 Speaker 3: And it's a great concept. I mean, it was very 331 00:15:34,440 --> 00:15:36,920 Speaker 3: similar to what the Harlem Globetrotters did for years. And 332 00:15:36,960 --> 00:15:39,520 Speaker 3: the Harlem Globe Trotters were always fun to go see, 333 00:15:39,520 --> 00:15:41,240 Speaker 3: and we took our daughter to see that show a 334 00:15:41,320 --> 00:15:43,840 Speaker 3: number of times when she was younger. But they've really 335 00:15:43,920 --> 00:15:46,760 Speaker 3: kind of amped it up and are putting on these 336 00:15:46,800 --> 00:15:50,120 Speaker 3: shows at minor league Baseball stadiums at Major League Baseball 337 00:15:50,160 --> 00:15:53,280 Speaker 3: stadiums and selling upwards of fifty and sixty thousand seats 338 00:15:53,280 --> 00:15:55,320 Speaker 3: for these games. And people just lose their mind for 339 00:15:55,360 --> 00:15:59,400 Speaker 3: this and tickets selling out lightning fast like they always do. 340 00:16:00,400 --> 00:16:04,280 Speaker 1: People seem to be more interested in the experience of things. Well, 341 00:16:04,320 --> 00:16:06,200 Speaker 1: that's what they're willing to part with their money. 342 00:16:06,280 --> 00:16:08,160 Speaker 5: What are you getting for your value today? 343 00:16:08,200 --> 00:16:09,560 Speaker 3: So if I want to go to the movies, it's 344 00:16:09,560 --> 00:16:11,320 Speaker 3: going to cost me fifteen to twenty bucks for a 345 00:16:11,360 --> 00:16:13,440 Speaker 3: movie ticket. If I want to go to a sporting event, 346 00:16:13,680 --> 00:16:17,360 Speaker 3: especially the NFL. Good luck for getting in anywhere near 347 00:16:17,520 --> 00:16:20,240 Speaker 3: one hundred or one hundred and fifty dollars. Normally tickets 348 00:16:20,280 --> 00:16:23,680 Speaker 3: are well more expensive than that. Tickets for this Savannah 349 00:16:23,720 --> 00:16:26,280 Speaker 3: Banana start out thirty five dollars. So if I can 350 00:16:26,320 --> 00:16:29,080 Speaker 3: pay thirty five dollars a person take my family to 351 00:16:29,120 --> 00:16:32,560 Speaker 3: an event that is focused on me, that everything they 352 00:16:32,600 --> 00:16:34,800 Speaker 3: do around this whole event, like I said, from parking 353 00:16:34,800 --> 00:16:37,280 Speaker 3: to concession, to my wait times to everything that's going on, 354 00:16:37,480 --> 00:16:40,280 Speaker 3: is about giving me this great and amazing experience for 355 00:16:40,320 --> 00:16:41,360 Speaker 3: an affordable price. 356 00:16:41,800 --> 00:16:43,960 Speaker 5: That is exactly what people are looking for. 357 00:16:44,040 --> 00:16:46,880 Speaker 1: Right now, You've got Graham ray Hall who responded about 358 00:16:46,920 --> 00:16:49,520 Speaker 1: the potential of IndyCar running in the streets of Washington, 359 00:16:49,600 --> 00:16:53,480 Speaker 1: DC this summer part of the America to fifty celebration. 360 00:16:54,000 --> 00:16:57,000 Speaker 1: And here's what he had to say about that idea. 361 00:16:57,400 --> 00:16:58,000 Speaker 5: I think he's a. 362 00:16:57,920 --> 00:17:00,320 Speaker 10: Perfect guy to ask about the latest swimmer about going 363 00:17:00,320 --> 00:17:01,160 Speaker 10: to Washington, d C. 364 00:17:01,360 --> 00:17:05,200 Speaker 5: How bad as you think that could be? Uh? 365 00:17:05,240 --> 00:17:11,160 Speaker 10: Extremely? I mean, we all follow each other on social media. 366 00:17:11,640 --> 00:17:14,040 Speaker 10: I know, I know the way some of you guys go. 367 00:17:14,160 --> 00:17:18,080 Speaker 10: But it's a huge state, it's a huge it's a 368 00:17:18,119 --> 00:17:23,840 Speaker 10: massive opportunity for IndyCar. And you know, it's a bit 369 00:17:24,040 --> 00:17:27,520 Speaker 10: it's a bit shameful, like sometimes when I read comments 370 00:17:27,560 --> 00:17:29,800 Speaker 10: on social media and response to some of your guys, 371 00:17:30,400 --> 00:17:32,359 Speaker 10: not that you guys are directing, but you read these, 372 00:17:32,600 --> 00:17:34,000 Speaker 10: Oh well, then that's the one race. I'm not going 373 00:17:34,040 --> 00:17:37,440 Speaker 10: to watch it here. I mean, get a life, Get 374 00:17:37,440 --> 00:17:40,600 Speaker 10: a life. If you really are an IndyCar fan. This 375 00:17:40,680 --> 00:17:43,080 Speaker 10: is a huge opportunity that's been given to us. Has 376 00:17:43,119 --> 00:17:46,320 Speaker 10: been given a NASCAR, wasn't given to Formula One, It's 377 00:17:46,359 --> 00:17:47,120 Speaker 10: given an IndyCar. 378 00:17:48,400 --> 00:17:48,440 Speaker 1: No. 379 00:17:48,520 --> 00:17:51,800 Speaker 10: Obviously, I'm a patriotic guy. So for me, no matter 380 00:17:51,800 --> 00:17:53,880 Speaker 10: who's in the White House, I don't care who it is, 381 00:17:54,080 --> 00:17:55,840 Speaker 10: I'd be if we got to go race and Washington 382 00:17:55,840 --> 00:17:59,199 Speaker 10: be awesome, particularly in the National Mall. I mean, one 383 00:17:59,240 --> 00:18:01,359 Speaker 10: of my favorite things to do is to go to 384 00:18:01,359 --> 00:18:03,760 Speaker 10: the National Mall and walk around a night and see 385 00:18:03,760 --> 00:18:06,199 Speaker 10: what it's all about and understand history, you know, good 386 00:18:06,280 --> 00:18:09,200 Speaker 10: or bad, understand history, see what it's all about. And 387 00:18:09,560 --> 00:18:14,040 Speaker 10: so for us to go, you know, get the opportunity 388 00:18:14,080 --> 00:18:16,159 Speaker 10: if it happens to race in Washington, I think is 389 00:18:16,200 --> 00:18:16,960 Speaker 10: a damn good deal. 390 00:18:17,800 --> 00:18:20,080 Speaker 1: You likes the idea, He's saying take the politics out 391 00:18:20,119 --> 00:18:20,600 Speaker 1: of the sport. 392 00:18:21,000 --> 00:18:23,280 Speaker 3: Well, it seems that the only people that are opposed 393 00:18:23,280 --> 00:18:27,040 Speaker 3: to this are Juny Looney, Liberals and Democrats. Right, Chuck 394 00:18:27,080 --> 00:18:29,080 Speaker 3: Schumer has come out and said that this is a 395 00:18:29,160 --> 00:18:29,879 Speaker 3: terrible idea. 396 00:18:29,960 --> 00:18:31,080 Speaker 5: Come on, how cool is this? 397 00:18:31,119 --> 00:18:33,720 Speaker 3: We're going to have a UFC fight on the lawn 398 00:18:33,720 --> 00:18:35,720 Speaker 3: of the White House, and then hopefully we're going to 399 00:18:35,800 --> 00:18:39,680 Speaker 3: have an IndyCar race around the monuments in Washington, d C. 400 00:18:40,040 --> 00:18:42,760 Speaker 3: As we celebrate America's two hundred and fiftieth birthday. 401 00:18:42,960 --> 00:18:45,400 Speaker 5: I just can't imagine that Chuck. 402 00:18:45,200 --> 00:18:47,520 Speaker 3: Schumer thought, Wow, this is a this is going to 403 00:18:47,720 --> 00:18:50,240 Speaker 3: be a really good opportunity for me to come out 404 00:18:50,280 --> 00:18:51,240 Speaker 3: and oppose this. 405 00:18:51,840 --> 00:18:54,040 Speaker 1: It's interesting that he was like, hey, you know what, 406 00:18:54,440 --> 00:18:56,560 Speaker 1: regardless of politics, I want to do this. 407 00:18:56,800 --> 00:18:59,280 Speaker 4: And he's taking his cueue of you know. 408 00:18:59,280 --> 00:19:02,639 Speaker 1: People who are not to put their politics inject it 409 00:19:02,720 --> 00:19:04,600 Speaker 1: into things when they want to remain popular. 410 00:19:04,880 --> 00:19:07,199 Speaker 3: But it's not a surprise that the liberals are against this. 411 00:19:07,280 --> 00:19:10,200 Speaker 3: We know they're against everything that Trump does. Keep in mind, it's. 412 00:19:10,080 --> 00:19:12,200 Speaker 5: The liberals that have told you that if. 413 00:19:12,080 --> 00:19:14,800 Speaker 3: Your parents voted for Donald Trump, then you need to 414 00:19:14,840 --> 00:19:16,840 Speaker 3: not go to Christmas in Thanksgiving and cut off all 415 00:19:16,880 --> 00:19:21,560 Speaker 3: contact with them and absolutely insane, lunatic concept, just like 416 00:19:21,600 --> 00:19:24,720 Speaker 3: the idea that you know, again insane and lunatic to 417 00:19:24,840 --> 00:19:28,400 Speaker 3: not think that having an IndyCar race around the monuments 418 00:19:28,400 --> 00:19:30,560 Speaker 3: in Washington, DC is anything but just one of the 419 00:19:30,600 --> 00:19:31,720 Speaker 3: coolest things I've ever seen. 420 00:19:32,040 --> 00:19:34,680 Speaker 1: So you've got people like Katy Perry, you remember her, 421 00:19:35,359 --> 00:19:38,720 Speaker 1: girlfriend of Justin Trudeau. She's no urging her followers to 422 00:19:38,760 --> 00:19:40,960 Speaker 1: call their senators and tell them to oppose funding for 423 00:19:41,000 --> 00:19:46,720 Speaker 1: ICE because she's angry. Now keep in mind, she's angry 424 00:19:47,320 --> 00:19:52,920 Speaker 1: that illegals are being arrested. Katy Perry has private security 425 00:19:53,560 --> 00:19:58,480 Speaker 1: and owns multiple mansions. If she is so concerned, she 426 00:19:58,640 --> 00:20:02,000 Speaker 1: could actually just house these illegals in one of her homes. 427 00:20:02,359 --> 00:20:04,520 Speaker 3: She doesn't have to worry about something happening to her 428 00:20:04,720 --> 00:20:06,800 Speaker 3: like happened to Lake and Riley, because she's got that 429 00:20:06,920 --> 00:20:10,040 Speaker 3: private security and I'm sure big tall fences around all 430 00:20:10,080 --> 00:20:13,040 Speaker 3: of her mansions. This is the time that she's come 431 00:20:13,080 --> 00:20:16,720 Speaker 3: out and said something. Are we still spending time listening 432 00:20:16,760 --> 00:20:20,440 Speaker 3: to celebrity worrying about what celebrities think about and trying 433 00:20:20,480 --> 00:20:24,440 Speaker 3: to tell us what to do in political situations as 434 00:20:24,480 --> 00:20:27,080 Speaker 3: they do it from their million dollar mansions and their 435 00:20:27,080 --> 00:20:29,680 Speaker 3: ivory towers protected by private security. 436 00:20:29,800 --> 00:20:33,800 Speaker 1: Another person who has spoken out Martha Stewart. She spoke 437 00:20:33,840 --> 00:20:38,000 Speaker 1: out against ice operations and what's going on in Minneapolis. 438 00:20:38,440 --> 00:20:39,200 Speaker 4: She said she was. 439 00:20:39,280 --> 00:20:42,960 Speaker 1: Motivated by a note from her fourteen year old granddaughter. 440 00:20:43,560 --> 00:20:47,760 Speaker 1: So now you've got celebrity taking advice from their teenage 441 00:20:47,760 --> 00:20:50,719 Speaker 1: granddaughter and the authority on things. 442 00:20:51,119 --> 00:20:53,640 Speaker 3: I think that we are finally coming to the point 443 00:20:53,680 --> 00:20:59,600 Speaker 3: where celebrities injecting themselves on politics just looks silly and ridiculous, 444 00:21:00,040 --> 00:21:02,159 Speaker 3: because we saw that during the twenty twenty four election. 445 00:21:02,240 --> 00:21:06,199 Speaker 3: We know the Kamala Harris paid millions and millions of 446 00:21:06,240 --> 00:21:10,640 Speaker 3: dollars to get celebrity endorsements from people like Oprah and Beyonce, 447 00:21:11,040 --> 00:21:13,480 Speaker 3: and it just didn't move the needle enough for her 448 00:21:13,560 --> 00:21:16,200 Speaker 3: to get anywhere near a victory in the twenty twenty 449 00:21:16,240 --> 00:21:19,199 Speaker 3: four election whole. It seems like the culture is moving 450 00:21:19,240 --> 00:21:20,920 Speaker 3: toward that. I'd like for it to move a little 451 00:21:20,960 --> 00:21:23,280 Speaker 3: bit faster in that direction where we just kind of 452 00:21:23,320 --> 00:21:26,640 Speaker 3: ignore celebrities when they inject themselves into political situations. 453 00:21:26,840 --> 00:21:30,720 Speaker 1: This is the Kendally Casey Show. It's ninety three WYBC. 454 00:21:34,400 --> 00:21:36,159 Speaker 4: It started out the morning very cold. 455 00:21:36,200 --> 00:21:39,479 Speaker 1: It was negative four when we got into work this morning, 456 00:21:39,680 --> 00:21:42,480 Speaker 1: and it's not going to stop anytime soon. The next 457 00:21:42,560 --> 00:21:46,360 Speaker 1: couple weeks we're going to have very frigid temperatures and 458 00:21:46,400 --> 00:21:49,320 Speaker 1: we are in the deep freeze of winter. Now you've 459 00:21:49,320 --> 00:21:52,240 Speaker 1: got State Farm, who said they received more than twelve 460 00:21:52,359 --> 00:21:56,040 Speaker 1: hundred claims related to the winter storm. Fern which we're 461 00:21:56,080 --> 00:21:59,600 Speaker 1: still digging out of Tennessee accounted for the majority of 462 00:21:59,600 --> 00:22:01,760 Speaker 1: the claim with more than seven hundred and fifty five 463 00:22:01,800 --> 00:22:05,640 Speaker 1: by home and automobile policy holders. State Farm the largest 464 00:22:05,920 --> 00:22:09,119 Speaker 1: homeowners and auto insurer in the world, and they have 465 00:22:09,240 --> 00:22:13,520 Speaker 1: activated their catastrophic response teams to deal. 466 00:22:13,320 --> 00:22:14,040 Speaker 4: With all of this. 467 00:22:14,280 --> 00:22:18,080 Speaker 1: And I know in Indianapolis, No, the side roads still 468 00:22:18,080 --> 00:22:21,159 Speaker 1: aren't clear, just in case, just in case you're not 469 00:22:21,200 --> 00:22:23,320 Speaker 1: coming downtown and you weren't aware. 470 00:22:23,680 --> 00:22:24,960 Speaker 4: Not all the side roads are clear. 471 00:22:25,080 --> 00:22:27,479 Speaker 3: Yeah, And we had this great piece of audio here 472 00:22:27,480 --> 00:22:30,040 Speaker 3: from Paul Finbaum, who we talked about on Monday as 473 00:22:30,080 --> 00:22:33,159 Speaker 3: being a big Indiana Hoo's your hater during the National 474 00:22:33,200 --> 00:22:34,720 Speaker 3: Championship game in their whole season. 475 00:22:34,880 --> 00:22:36,400 Speaker 4: But it was the issue that apology. 476 00:22:36,560 --> 00:22:38,520 Speaker 3: There was this funny story that came out from his 477 00:22:39,160 --> 00:22:44,040 Speaker 3: national show where we saw this combination of storm damage 478 00:22:44,240 --> 00:22:47,000 Speaker 3: and sports, and let's listen to it right here. 479 00:22:47,359 --> 00:22:53,120 Speaker 2: Hey, Paul, this is an interesting call. About two minutes ago, 480 00:22:53,240 --> 00:22:55,320 Speaker 2: a tree disc fell through my bedroom. 481 00:22:55,680 --> 00:22:56,480 Speaker 5: Oh my goodness. 482 00:22:57,200 --> 00:23:00,960 Speaker 2: Yeah, and I'm a little bit in shot. I guess 483 00:23:01,400 --> 00:23:03,879 Speaker 2: I'm in another part of the home and I heard 484 00:23:04,000 --> 00:23:09,320 Speaker 2: and the course shelf this noise and I'll start this boom. 485 00:23:09,480 --> 00:23:11,919 Speaker 7: So your first inclination was to wait to go on 486 00:23:12,000 --> 00:23:13,240 Speaker 7: the fine Bomb Show, is that. 487 00:23:13,680 --> 00:23:18,040 Speaker 2: I don't know what else to hell to do? 488 00:23:18,040 --> 00:23:22,200 Speaker 1: Dogs, you're waiting to get you know, you call into 489 00:23:22,240 --> 00:23:24,760 Speaker 1: the show, the producer puts you on hold. You're waiting, 490 00:23:24,920 --> 00:23:28,600 Speaker 1: you get your chance, and then boom, something happens in 491 00:23:28,640 --> 00:23:29,639 Speaker 1: another part of your house. 492 00:23:29,640 --> 00:23:31,760 Speaker 4: What do you do? Hey, I'm gonna tell my story. 493 00:23:31,920 --> 00:23:34,919 Speaker 3: That is how much people in the South love college football, 494 00:23:34,960 --> 00:23:38,240 Speaker 3: because Paul Finebaum has a college football show. That people 495 00:23:38,280 --> 00:23:41,720 Speaker 3: in the South love college football so much that even 496 00:23:41,800 --> 00:23:44,600 Speaker 3: while they're on hold waiting to talk to a national 497 00:23:44,760 --> 00:23:48,000 Speaker 3: host about college football and a tree comes crashing. 498 00:23:47,600 --> 00:23:48,439 Speaker 5: Through their rooms. 499 00:23:48,440 --> 00:23:49,360 Speaker 4: To stay on the phone, he. 500 00:23:49,359 --> 00:23:51,040 Speaker 3: Hung out of the rest of the audio plays out. 501 00:23:51,080 --> 00:23:53,080 Speaker 3: He hangs on and then wants to talk to Paul 502 00:23:53,119 --> 00:23:56,840 Speaker 3: Finebaum about the LSU transfer portal and where they stand 503 00:23:56,840 --> 00:23:58,800 Speaker 3: in all of this. That's how much people in the 504 00:23:58,800 --> 00:24:00,000 Speaker 3: South love college football. 505 00:24:00,080 --> 00:24:03,359 Speaker 4: You're are you excited about this? Breaking news? About what 506 00:24:03,440 --> 00:24:03,600 Speaker 4: is this? 507 00:24:03,840 --> 00:24:05,680 Speaker 5: We do have some breaking NBA news, So. 508 00:24:07,080 --> 00:24:09,320 Speaker 3: Shams who if you follow the NBA, is kind of 509 00:24:09,359 --> 00:24:11,760 Speaker 3: the main NBA insider and it's also being reported by 510 00:24:11,800 --> 00:24:16,879 Speaker 3: Adam Schefter. Two time NBA MVP and NBA Champion Gianna 511 00:24:16,920 --> 00:24:21,000 Speaker 3: Setanta Kompoopo has asked for to be traded from the 512 00:24:21,040 --> 00:24:23,560 Speaker 3: Milwaukee Bucks. The NBA trade deadline coming up soon. 513 00:24:23,800 --> 00:24:24,360 Speaker 4: What's out of there? 514 00:24:24,400 --> 00:24:24,600 Speaker 5: Fifth? 515 00:24:24,680 --> 00:24:25,600 Speaker 4: You can just ask for that. 516 00:24:25,680 --> 00:24:26,560 Speaker 5: He wants out of there. 517 00:24:26,720 --> 00:24:29,320 Speaker 3: They gave him the big contract, they've signed him, they 518 00:24:29,359 --> 00:24:32,200 Speaker 3: haven't given him much support. The Milwaukee Bucks have been struggling, 519 00:24:32,240 --> 00:24:34,479 Speaker 3: and it looks like he's probably gonna end up finishing 520 00:24:34,520 --> 00:24:37,520 Speaker 3: the NBA season somewhere else. Love to see him in 521 00:24:37,560 --> 00:24:41,679 Speaker 3: a Pacers uniform. Can't imagine that we've got enough to 522 00:24:41,880 --> 00:24:44,480 Speaker 3: trade to actually get this guy. The most of the 523 00:24:44,520 --> 00:24:46,879 Speaker 3: talk has been that it looks like he might be 524 00:24:46,920 --> 00:24:48,679 Speaker 3: going to the New York Knicks. 525 00:24:48,800 --> 00:24:49,320 Speaker 4: I wanted to. 526 00:24:49,240 --> 00:24:51,520 Speaker 1: Play some more audio for you. This is from the 527 00:24:51,640 --> 00:24:55,440 Speaker 1: yikes file. This is a big file these yea it is. 528 00:24:55,840 --> 00:25:00,680 Speaker 1: This is a Democrat Ohio Attorney general candidate. His name 529 00:25:00,720 --> 00:25:05,000 Speaker 1: is Elliot Forren and he says he's going to kill 530 00:25:05,040 --> 00:25:06,480 Speaker 1: Donald Trump if he's elected. 531 00:25:07,119 --> 00:25:11,200 Speaker 11: Hi, this is Elliott fourhand, candidate for Ohio Attorney General. 532 00:25:11,960 --> 00:25:14,199 Speaker 11: I want to tell you what I mean when I 533 00:25:14,280 --> 00:25:19,480 Speaker 11: say that I am going to kill Donald Trump. I 534 00:25:19,480 --> 00:25:23,080 Speaker 11: mean I'm going to obtain a conviction rendered by a 535 00:25:23,160 --> 00:25:26,960 Speaker 11: jury of his peers at a standard of proof beyond 536 00:25:27,040 --> 00:25:31,199 Speaker 11: a reasonable doubt, based on evidence presented at a trial 537 00:25:31,600 --> 00:25:36,520 Speaker 11: conducted in accordance with the requirements of due process, resulting 538 00:25:36,720 --> 00:25:40,200 Speaker 11: in a sentence duly executed of capital punishment. 539 00:25:40,359 --> 00:25:42,920 Speaker 1: So this is a situation where he must have said 540 00:25:42,960 --> 00:25:46,240 Speaker 1: something off the cuff and it got picked up, and 541 00:25:46,280 --> 00:25:50,399 Speaker 1: here he is trying to explain what he meant. Ah, 542 00:25:50,400 --> 00:25:52,200 Speaker 1: don't you miss the good old days when they just 543 00:25:52,280 --> 00:25:53,440 Speaker 1: threatened to impeach him. 544 00:25:53,800 --> 00:25:57,159 Speaker 3: Yeah, bold strategy for somebody running for practical office to 545 00:25:57,160 --> 00:25:58,919 Speaker 3: come out and say that, Yeah, I'm running on the 546 00:25:58,920 --> 00:26:00,800 Speaker 3: basis the fact that I want to kill Donald Trump. 547 00:26:00,840 --> 00:26:03,639 Speaker 5: And now he cloaks it in this idea that he 548 00:26:03,680 --> 00:26:04,360 Speaker 5: would be. 549 00:26:04,359 --> 00:26:07,560 Speaker 3: Convicted of such a crime of treason or something similar 550 00:26:07,600 --> 00:26:09,359 Speaker 3: that he would get the death penalty, and that's how 551 00:26:09,400 --> 00:26:12,160 Speaker 3: it'll work out. What this smacks of is some guy 552 00:26:12,200 --> 00:26:15,560 Speaker 3: who's probably in third or fourth place in the Democrat 553 00:26:15,600 --> 00:26:19,560 Speaker 3: primary in Ohio time for attorney general and saying outrageous 554 00:26:19,600 --> 00:26:21,520 Speaker 3: things to get some headlines and maybe get him a 555 00:26:21,560 --> 00:26:22,840 Speaker 3: couple extra points in the poll. 556 00:26:22,960 --> 00:26:25,720 Speaker 4: But the hate is just so real, No, no, no, 557 00:26:25,840 --> 00:26:26,480 Speaker 4: so intense. 558 00:26:26,760 --> 00:26:29,800 Speaker 3: Remember, Democrats, that is the party of peace, That is 559 00:26:29,840 --> 00:26:32,320 Speaker 3: the party of peace, That is not the party of violence. 560 00:26:32,960 --> 00:26:35,080 Speaker 3: You've got to keep that in mind. What a terrible 561 00:26:35,119 --> 00:26:38,439 Speaker 3: if I'm a Democrat, especially a national Democrat, and I 562 00:26:38,480 --> 00:26:40,000 Speaker 3: wake up in the morning and I find that some 563 00:26:40,080 --> 00:26:42,760 Speaker 3: idiot who's running for attorney general in Ohio says that 564 00:26:42,960 --> 00:26:45,560 Speaker 3: he's running on the platform of trying to kill Donald Trump. 565 00:26:45,680 --> 00:26:49,320 Speaker 3: I mean, it's like a classic face palm emoji, Like, 566 00:26:49,359 --> 00:26:52,080 Speaker 3: I can't believe these are the people in our party. 567 00:26:52,119 --> 00:26:53,359 Speaker 3: And now what do I got to do to make 568 00:26:53,400 --> 00:26:55,560 Speaker 3: sure that this guy has no chance of winning? So 569 00:26:55,600 --> 00:26:56,600 Speaker 3: we can just shut him up? 570 00:26:56,680 --> 00:26:59,440 Speaker 4: And they wonder why their numbers are so low. 571 00:26:59,359 --> 00:27:04,040 Speaker 3: Right, Democrats, they do that polling. Oh Trump's poll numbers 572 00:27:04,040 --> 00:27:06,760 Speaker 3: are here. The Republicans are here, Congress is here, and 573 00:27:06,920 --> 00:27:09,560 Speaker 3: way down there at the bottom, I think it's these days. 574 00:27:09,600 --> 00:27:12,760 Speaker 3: Around seventeen percent is the current approval rating of the 575 00:27:12,800 --> 00:27:14,320 Speaker 3: Democrat Party nationwide. 576 00:27:14,400 --> 00:27:15,480 Speaker 4: There is a Senate. 577 00:27:15,240 --> 00:27:17,960 Speaker 1: Bill one ninety nine here in Indiana, and it would 578 00:27:17,960 --> 00:27:21,679 Speaker 1: require age verification on social media. It would block children 579 00:27:21,840 --> 00:27:27,760 Speaker 1: under thirteen and require parental consent for users age thirteen 580 00:27:28,040 --> 00:27:31,679 Speaker 1: through eighteen. And after hearing that audio clip from that 581 00:27:31,720 --> 00:27:34,639 Speaker 1: guy who was on social media, I kind of understand why, 582 00:27:34,960 --> 00:27:38,919 Speaker 1: but I do believe that that is a decision that 583 00:27:38,960 --> 00:27:40,600 Speaker 1: should be left up to parents. 584 00:27:40,720 --> 00:27:42,679 Speaker 3: Yeah, no way that I can support a bill like 585 00:27:42,720 --> 00:27:45,520 Speaker 3: this of the government getting that involved in a what 586 00:27:45,600 --> 00:27:47,880 Speaker 3: should end up being a family decision. 587 00:27:47,920 --> 00:27:50,480 Speaker 5: Look, is social media a good idea for young kids? Yeah? 588 00:27:50,520 --> 00:27:51,199 Speaker 5: Probably not. 589 00:27:51,400 --> 00:27:54,320 Speaker 3: But it's not the government's position to come in and 590 00:27:54,359 --> 00:27:57,680 Speaker 3: dictate who can use social media inside your household. That's 591 00:27:57,680 --> 00:28:00,000 Speaker 3: a decision for the parents. And if parents want to 592 00:28:00,080 --> 00:28:02,760 Speaker 3: allow their kids to be on social media with hopefully 593 00:28:02,840 --> 00:28:07,720 Speaker 3: some oversight and some guidelines, guardrails and restrictions teach them 594 00:28:07,760 --> 00:28:10,359 Speaker 3: how to use that wonderful great. But it's not the 595 00:28:10,400 --> 00:28:14,480 Speaker 3: government's responsibility to start getting into our phones and determining 596 00:28:14,520 --> 00:28:16,200 Speaker 3: whether or not children should be on. 597 00:28:16,119 --> 00:28:17,800 Speaker 4: Social already in our phones. 598 00:28:17,920 --> 00:28:19,760 Speaker 3: Yeah, well, they don't need to be any further by 599 00:28:19,760 --> 00:28:20,760 Speaker 3: passing a law like this. 600 00:28:21,000 --> 00:28:25,720 Speaker 1: So Indiana is following a model that was put in 601 00:28:25,720 --> 00:28:29,000 Speaker 1: place in Florida and that it does remain in effect, 602 00:28:29,160 --> 00:28:33,200 Speaker 1: and the bill could reach a Senate vote this week 603 00:28:33,480 --> 00:28:36,000 Speaker 1: and then move to the House for consideration. 604 00:28:36,359 --> 00:28:38,560 Speaker 3: It's one of those things that on the surface seems 605 00:28:38,600 --> 00:28:40,920 Speaker 3: like common sense, but come on, we need to be 606 00:28:41,720 --> 00:28:45,440 Speaker 3: not putting out bills that are intrusive into people's individual freedoms. 607 00:28:45,720 --> 00:28:47,760 Speaker 1: We were talking the other day, I believe it was 608 00:28:47,760 --> 00:28:51,600 Speaker 1: probably just yesterday. It seems every day now an AI 609 00:28:51,880 --> 00:28:55,440 Speaker 1: related article shows up on the template because it's everywhere. 610 00:28:55,880 --> 00:28:58,840 Speaker 1: And they found that consumers trust videos with humans over 611 00:28:58,920 --> 00:29:02,440 Speaker 1: AI content. Only seventy eight percent of consumers they trust 612 00:29:02,480 --> 00:29:07,480 Speaker 1: videos featuring real people more than the content without visible humans, 613 00:29:07,600 --> 00:29:11,959 Speaker 1: even as AI generated video tools are becoming more widely used. 614 00:29:12,480 --> 00:29:15,680 Speaker 1: And why do humans matter? That is the extent of 615 00:29:15,720 --> 00:29:18,920 Speaker 1: this article. Yes, we've seen, we've heard the data already 616 00:29:18,960 --> 00:29:23,360 Speaker 1: that consumers don't trust brands that use AI. They want 617 00:29:23,400 --> 00:29:28,320 Speaker 1: to have a human in AI generated content. 618 00:29:28,640 --> 00:29:30,760 Speaker 4: But why, Well, it's because. 619 00:29:30,560 --> 00:29:33,600 Speaker 1: They say they want to see the facial expression, the 620 00:29:33,640 --> 00:29:38,400 Speaker 1: body language, and there is a direct connection and it's 621 00:29:38,440 --> 00:29:41,560 Speaker 1: more authentic. That way goes back to the authenticity era 622 00:29:42,120 --> 00:29:45,080 Speaker 1: being a higher level than an influencer era. 623 00:29:45,280 --> 00:29:47,360 Speaker 3: Yeah, it would be interesting to drill into the data 624 00:29:47,400 --> 00:29:49,080 Speaker 3: on this because I think a lot of the problem 625 00:29:49,160 --> 00:29:53,400 Speaker 3: with people having aversion to AI generated videos and images 626 00:29:53,600 --> 00:29:56,280 Speaker 3: is that most of the time it's not being disclosed 627 00:29:56,360 --> 00:29:58,880 Speaker 3: and you feel like the content creator is trying to 628 00:29:58,880 --> 00:30:00,000 Speaker 3: pull one over on you. 629 00:30:00,160 --> 00:30:02,360 Speaker 5: I think the more transparency you get, the more you'll 630 00:30:02,360 --> 00:30:04,080 Speaker 5: see it being accepted. But put yourself. 631 00:30:04,120 --> 00:30:05,840 Speaker 3: I'll give you an example. Put yourself in the shoes 632 00:30:05,840 --> 00:30:07,960 Speaker 3: of a small business owner. Let's say you own and 633 00:30:08,040 --> 00:30:11,000 Speaker 3: operate a small coffee shop and you've got an advertising 634 00:30:11,040 --> 00:30:13,240 Speaker 3: and marketing budget because you need to get your message 635 00:30:13,240 --> 00:30:15,080 Speaker 3: out there, let people know that you're open for business 636 00:30:15,120 --> 00:30:17,600 Speaker 3: and you got great coffee. You know how much it 637 00:30:17,640 --> 00:30:21,720 Speaker 3: costs to produce a locally produced television commercial if you 638 00:30:21,760 --> 00:30:25,360 Speaker 3: want to run some TV, it starts at thousands of 639 00:30:25,400 --> 00:30:27,800 Speaker 3: dollars and can easily run into tens of thousands of 640 00:30:27,840 --> 00:30:33,640 Speaker 3: dollars to produce a local television commercial, or you can 641 00:30:33,680 --> 00:30:37,640 Speaker 3: have one generated by AI and actually probably do it 642 00:30:37,680 --> 00:30:38,520 Speaker 3: for next to nothing. 643 00:30:38,600 --> 00:30:40,000 Speaker 5: So I see both sides of it. 644 00:30:40,160 --> 00:30:42,680 Speaker 3: I see the business applications to this, but I get 645 00:30:42,680 --> 00:30:45,320 Speaker 3: why consumers are still a little bit freaked out by it. 646 00:30:45,400 --> 00:30:49,240 Speaker 1: Well, consumers would rather see that cup of coffee than 647 00:30:49,560 --> 00:30:52,080 Speaker 1: a fake human drinking that cup of coffee. 648 00:30:52,120 --> 00:30:54,040 Speaker 3: But the problem with this is, and I get it, 649 00:30:54,080 --> 00:30:55,520 Speaker 3: and that's the consumer sentiment right now. 650 00:30:55,520 --> 00:30:57,960 Speaker 5: The problem with this is can you tell? 651 00:30:58,680 --> 00:31:00,840 Speaker 3: Yeah, some of it in the term AI slop is 652 00:31:00,840 --> 00:31:02,400 Speaker 3: out there for a reason that there's the. 653 00:31:02,440 --> 00:31:03,720 Speaker 4: Human has six fingers. 654 00:31:03,760 --> 00:31:06,239 Speaker 3: On one hand, there's a lot of AI content out 655 00:31:06,280 --> 00:31:08,640 Speaker 3: there that's not great, but man, there's a lot out there. 656 00:31:08,520 --> 00:31:11,880 Speaker 5: That's really really good. You gotta look really really hard 657 00:31:11,920 --> 00:31:12,280 Speaker 5: to tell. 658 00:31:12,320 --> 00:31:15,080 Speaker 3: So if I can produce AI content that looks real 659 00:31:15,120 --> 00:31:18,160 Speaker 3: and authentic and genuine, it's likely that the consumer isn't 660 00:31:18,160 --> 00:31:19,560 Speaker 3: going to have any problem with it because they're just 661 00:31:19,560 --> 00:31:20,040 Speaker 3: not going to know. 662 00:31:20,840 --> 00:31:24,240 Speaker 1: The Indiana Bureau of Motor Vehicle sells your information. 663 00:31:24,400 --> 00:31:25,040 Speaker 4: Did you know that? 664 00:31:25,440 --> 00:31:26,120 Speaker 5: I did know that. 665 00:31:26,160 --> 00:31:28,920 Speaker 1: You can tell your name, your address, the details of 666 00:31:28,960 --> 00:31:32,800 Speaker 1: your vehicle, your license type, even your driving record, and 667 00:31:32,840 --> 00:31:35,840 Speaker 1: they do that to different companies and entities and guess 668 00:31:35,920 --> 00:31:39,880 Speaker 1: what what The state earns twenty six million dollars annually 669 00:31:40,000 --> 00:31:43,720 Speaker 1: from these sales sell your information, making. 670 00:31:43,440 --> 00:31:45,600 Speaker 4: The state of Indiana a lot of money. 671 00:31:45,680 --> 00:31:46,360 Speaker 5: So let's see here. 672 00:31:46,400 --> 00:31:48,680 Speaker 3: We've got one of the highest gas taxes in the nation, 673 00:31:48,840 --> 00:31:52,200 Speaker 3: despite our roads being an absolute dumpster fire. We have 674 00:31:52,280 --> 00:31:54,960 Speaker 3: property taxes that are raising at an astronomical rate and 675 00:31:55,000 --> 00:31:58,480 Speaker 3: going out of control. We had the Indiana General Assembly 676 00:31:58,520 --> 00:32:02,200 Speaker 3: that raised taxes by a billion dollars on us last year. 677 00:32:02,440 --> 00:32:05,520 Speaker 3: And we've got our BMV that's generating twenty six million 678 00:32:05,600 --> 00:32:08,760 Speaker 3: dollars a year by selling all of our private financial 679 00:32:09,000 --> 00:32:12,000 Speaker 3: or our private information, not financial, but our private information. 680 00:32:12,120 --> 00:32:14,280 Speaker 1: So you've got a federal law, it is the Driver's 681 00:32:14,400 --> 00:32:17,800 Speaker 1: Privacy Protection Act of nineteen ninety four, and you have 682 00:32:17,880 --> 00:32:21,280 Speaker 1: the Indiana state law which requires the BMV to disclose 683 00:32:21,440 --> 00:32:26,560 Speaker 1: driver data for certain permissible uses. Now those permissible uses 684 00:32:27,080 --> 00:32:34,200 Speaker 1: are to law enforcement, law enforcement, insurance, vehicle recalls, private investigators, 685 00:32:34,560 --> 00:32:39,680 Speaker 1: toll operations, and even court proceedings. And the BMV must 686 00:32:39,960 --> 00:32:44,760 Speaker 1: charge for the data. Now, people off the street cannot 687 00:32:44,840 --> 00:32:47,800 Speaker 1: access this, but they've got some top buyers like Auto 688 00:32:47,920 --> 00:32:52,040 Speaker 1: Data Direct, the City of Chicago Department of Finance, Data 689 00:32:52,080 --> 00:32:57,400 Speaker 1: Link explore information, higher right insurance info, and there's plenty more. 690 00:32:57,760 --> 00:33:02,320 Speaker 1: And Indiana drivers cannot currently opt out. They can in 691 00:33:02,360 --> 00:33:05,000 Speaker 1: other states like Delaware and Wisconsin. 692 00:33:05,200 --> 00:33:07,640 Speaker 3: Yeah, and there's a bill being put forward in the 693 00:33:07,840 --> 00:33:12,800 Speaker 3: current General Assembly by Democrats that would give individuals in 694 00:33:12,840 --> 00:33:15,480 Speaker 3: the state of the Indiana the ability to opt out 695 00:33:15,520 --> 00:33:18,160 Speaker 3: and not have their data being sold. Why is it 696 00:33:18,200 --> 00:33:21,800 Speaker 3: the Democrat Where have the Republicans been on this? This 697 00:33:21,800 --> 00:33:26,120 Speaker 3: should be a Republican position, surely a conservative position that 698 00:33:26,200 --> 00:33:29,120 Speaker 3: sits here and says, no, I want to give drivers 699 00:33:29,120 --> 00:33:31,280 Speaker 3: in the state of Indiana an option not have their 700 00:33:31,360 --> 00:33:34,040 Speaker 3: data sold to everybody under the sun that wants it. 701 00:33:34,200 --> 00:33:36,000 Speaker 3: So good on the Democrats. They're the ones that are 702 00:33:36,040 --> 00:33:38,760 Speaker 3: putting forward this bill and hopefully we can move it 703 00:33:38,800 --> 00:33:39,760 Speaker 3: across the finish line. 704 00:33:39,840 --> 00:33:43,040 Speaker 1: They say that purchases are meant for lawful purposes only, 705 00:33:44,040 --> 00:33:44,920 Speaker 1: not for marketing. 706 00:33:45,320 --> 00:33:48,160 Speaker 3: Sure, that's what it's meant for, but we have no 707 00:33:48,280 --> 00:33:51,600 Speaker 3: guarantee that that's the way it's actually happening in practice, 708 00:33:51,680 --> 00:33:53,760 Speaker 3: and that it's not falling into the hands of certain 709 00:33:53,800 --> 00:33:55,959 Speaker 3: marketers and people that are trying to take advantage of it. 710 00:33:56,000 --> 00:33:58,280 Speaker 3: So again, good on the Democrats for putting forward this 711 00:33:58,360 --> 00:34:01,040 Speaker 3: bill to allow Indiana driver to opt out of this 712 00:34:01,520 --> 00:34:03,040 Speaker 3: and hopefully it ends up becoming law. 713 00:34:03,120 --> 00:34:06,480 Speaker 1: Okay, and you said sure if it's being done in practice. 714 00:34:06,720 --> 00:34:09,879 Speaker 1: The BMV does audit buyers every three years and has 715 00:34:09,920 --> 00:34:15,160 Speaker 1: suspended more than two hundred companies for violations since twenty seventeen. 716 00:34:15,280 --> 00:34:19,120 Speaker 3: So to twenty seventeen, two hundred companies that have bought 717 00:34:19,120 --> 00:34:21,960 Speaker 3: your data have violated the terms and conditions under which 718 00:34:21,960 --> 00:34:24,840 Speaker 3: they're supposed to use it, two hundred of them. Again, 719 00:34:25,160 --> 00:34:27,000 Speaker 3: that's why this law needs to just pushed through in 720 00:34:27,000 --> 00:34:28,440 Speaker 3: the current General Assembly. 721 00:34:29,000 --> 00:34:30,920 Speaker 1: It's going to be set for it's going to be 722 00:34:30,920 --> 00:34:32,160 Speaker 1: heard on February second. 723 00:34:32,719 --> 00:34:34,600 Speaker 4: This is the kind of a Casey show. It's ninety 724 00:34:34,600 --> 00:34:41,640 Speaker 4: three WIBC. We have the smartest listeners here on WIBC. 725 00:34:41,880 --> 00:34:42,160 Speaker 4: Sure do. 726 00:34:42,480 --> 00:34:44,719 Speaker 1: Case in point, We started the show asking the question 727 00:34:44,760 --> 00:34:46,920 Speaker 1: how do you get water out of a tire swing? Like, 728 00:34:46,960 --> 00:34:48,839 Speaker 1: when it rains, how do you get the water out? 729 00:34:48,880 --> 00:34:50,359 Speaker 1: And I just say, you know, you tip it over 730 00:34:50,400 --> 00:34:53,080 Speaker 1: and dump it out. But Craig sent me a note 731 00:34:53,160 --> 00:34:55,759 Speaker 1: and he said, no, Casey, you drill holes in the 732 00:34:55,840 --> 00:34:58,640 Speaker 1: tire so that the water can't collect in it. It's 733 00:34:58,640 --> 00:34:59,759 Speaker 1: hard to get it all shaken out. 734 00:35:00,000 --> 00:35:01,520 Speaker 5: He right on that brilliant. 735 00:35:01,680 --> 00:35:03,759 Speaker 3: If I owned a tire swing, I'd have my drill 736 00:35:03,800 --> 00:35:05,880 Speaker 3: out there today drilling holes in the bottom of it. 737 00:35:06,000 --> 00:35:08,359 Speaker 1: Here, Smart, you'd be a little cold if you were 738 00:35:08,400 --> 00:35:11,800 Speaker 1: swinging on a tire right now, But maybe this spring. 739 00:35:11,960 --> 00:35:14,040 Speaker 4: That's a good idea. Thanks Craig for the note. 740 00:35:14,200 --> 00:35:16,799 Speaker 1: So Caitlin Clark is she's still as hot as she 741 00:35:16,920 --> 00:35:20,040 Speaker 1: used to be in regards to fans. Are people still 742 00:35:20,520 --> 00:35:21,480 Speaker 1: coming out to see her? 743 00:35:21,600 --> 00:35:21,880 Speaker 5: Wow? 744 00:35:21,920 --> 00:35:24,279 Speaker 4: She was injured a lot of the season, most of it. 745 00:35:24,719 --> 00:35:26,640 Speaker 3: Yeah, a little bit of the shine has been taking 746 00:35:26,680 --> 00:35:28,759 Speaker 3: off of Caitlin Clark because she didn't play much last year. 747 00:35:28,800 --> 00:35:30,960 Speaker 3: But she is still an absolute superstar and has a 748 00:35:30,960 --> 00:35:32,240 Speaker 3: lot of interest from the public. 749 00:35:32,280 --> 00:35:32,640 Speaker 5: For sure. 750 00:35:32,960 --> 00:35:35,759 Speaker 1: She's going to appear on as a special contributor on 751 00:35:35,920 --> 00:35:40,279 Speaker 1: NBC's new broadcast Sunday Night Basketball. She's going to join 752 00:35:40,360 --> 00:35:45,400 Speaker 1: the pregame show called Basketball Night in America, debuts this 753 00:35:45,480 --> 00:35:46,920 Speaker 1: weekend Madison Square Garden. 754 00:35:47,040 --> 00:35:48,680 Speaker 3: Yeah, this is a pretty big deal and shows that 755 00:35:48,760 --> 00:35:52,080 Speaker 3: obviously Caitlin Clark still has a lot of national interest, 756 00:35:52,160 --> 00:35:54,240 Speaker 3: and she's going to be doing this for the NBA. 757 00:35:54,400 --> 00:35:57,080 Speaker 3: There's no WNBA games happening right now, but she is 758 00:35:57,120 --> 00:36:00,839 Speaker 3: going to be part of the pregame studio crew for 759 00:36:00,920 --> 00:36:05,399 Speaker 3: the upcoming NBA games on NBC, So she was a. 760 00:36:05,480 --> 00:36:09,680 Speaker 1: Major draw, helped boost the WNBA ratings and attendance, also 761 00:36:09,880 --> 00:36:10,600 Speaker 1: merch sales. 762 00:36:10,800 --> 00:36:11,279 Speaker 4: Hot take. 763 00:36:11,760 --> 00:36:15,200 Speaker 1: Yeah, Fernando Mendoza is more popular than Caitlin Clark in 764 00:36:15,239 --> 00:36:16,439 Speaker 1: Central Indiana right now. 765 00:36:16,520 --> 00:36:17,160 Speaker 5: Oh absolutely. 766 00:36:17,160 --> 00:36:19,000 Speaker 3: I think you're absolutely right about that because we just 767 00:36:19,040 --> 00:36:21,000 Speaker 3: haven't seen Kaitlin Clark. I mean, she only played a 768 00:36:21,040 --> 00:36:23,399 Speaker 3: handful of games last year, and by the way she looked, 769 00:36:23,880 --> 00:36:26,719 Speaker 3: what thirteen games, it wasn't very many. And right now 770 00:36:26,840 --> 00:36:31,440 Speaker 3: the WNBA and the players Union are locked in a 771 00:36:31,560 --> 00:36:34,719 Speaker 3: nasty contract battle. It is likely that there is going 772 00:36:34,760 --> 00:36:37,319 Speaker 3: to be some sort of work lockout for the WNBA. 773 00:36:37,440 --> 00:36:40,400 Speaker 3: I'd be shocked if the WNBA plays a full season 774 00:36:40,440 --> 00:36:43,839 Speaker 3: this upcoming year. It's entirely possible the way negotiations are 775 00:36:43,880 --> 00:36:44,520 Speaker 3: going that they. 776 00:36:44,440 --> 00:36:45,439 Speaker 5: May have that's not going to happen. 777 00:36:45,520 --> 00:36:47,600 Speaker 3: They end up canceling a portion, if not all, of 778 00:36:47,640 --> 00:36:50,880 Speaker 3: the WNBA season. So smart for Kaitlin Clark to do 779 00:36:50,880 --> 00:36:52,839 Speaker 3: a job of getting her face out there someplace else. 780 00:36:53,440 --> 00:36:56,560 Speaker 4: Thank you, Jim, Thank you, Kevin, thank you for listening today. 781 00:36:56,960 --> 00:36:59,160 Speaker 4: This has been The Kendall and Casey Show. It's ninety 782 00:36:59,160 --> 00:37:00,600 Speaker 4: three w i ib C