1 00:00:00,080 --> 00:00:04,280 Speaker 1: The Federal Reserve held the rates, although they did signal caution. 2 00:00:04,600 --> 00:00:08,319 Speaker 1: So let's talk about some of the key takeaways. We're 3 00:00:08,480 --> 00:00:12,000 Speaker 1: surprised about this. The Fed's benchmark federal funds the rate 4 00:00:12,039 --> 00:00:14,680 Speaker 1: remains the same three and a half to three point 5 00:00:14,720 --> 00:00:18,439 Speaker 1: seventy five percent. That ends a streak of three straight cuts. 6 00:00:18,480 --> 00:00:21,560 Speaker 1: But it also suggests that the Central Bank isn't planning 7 00:00:21,600 --> 00:00:24,759 Speaker 1: any major easing soon. He's standing his ground. 8 00:00:25,040 --> 00:00:27,920 Speaker 2: Yeah, FED Chairman Jerome Powell, who is on his way out. 9 00:00:27,960 --> 00:00:30,280 Speaker 2: He'll be replaced later on the spring by somebody else 10 00:00:30,320 --> 00:00:32,479 Speaker 2: that Donald Trumpet points to this position. I think the 11 00:00:32,520 --> 00:00:35,320 Speaker 2: guys just kind of hunkering down at this point. There's 12 00:00:35,320 --> 00:00:39,120 Speaker 2: talk of the doj Well potentially bringing charges. There's certainly 13 00:00:39,120 --> 00:00:42,640 Speaker 2: an investigation into the way Jerome Powell and the FED 14 00:00:43,120 --> 00:00:46,280 Speaker 2: managed the process of building their new building that they're 15 00:00:47,000 --> 00:00:50,480 Speaker 2: constructing in Washington, d C. So my guess is he's 16 00:00:50,520 --> 00:00:52,599 Speaker 2: just kind of hunkering down, trying to keep his head 17 00:00:52,640 --> 00:00:55,480 Speaker 2: but his head down and not bring any attention to him. 18 00:00:55,480 --> 00:00:57,840 Speaker 2: And this is why the FED didn't raise rates. But look, 19 00:00:57,920 --> 00:01:02,320 Speaker 2: Jerome's Powell. His legac as FED chairman is certainly going 20 00:01:02,360 --> 00:01:06,560 Speaker 2: to be mixed at best. It is widely viewed that 21 00:01:06,600 --> 00:01:10,680 Speaker 2: he kept rates far too low, far too long during COVID, 22 00:01:10,760 --> 00:01:13,800 Speaker 2: and that, along with outrageous government spending, was one of 23 00:01:13,800 --> 00:01:16,840 Speaker 2: the major contributors to the massive rise in inflation we 24 00:01:16,840 --> 00:01:17,639 Speaker 2: saw during COVID. 25 00:01:17,720 --> 00:01:20,720 Speaker 1: There were plenty of governors who wanted another cut, and 26 00:01:21,120 --> 00:01:25,679 Speaker 1: he gave minimal guidance. He repeatedly told reporters I have 27 00:01:25,800 --> 00:01:28,600 Speaker 1: nothing for you on that when he would ask questions, 28 00:01:28,920 --> 00:01:31,720 Speaker 1: I have nothing for you on that. And he advised 29 00:01:31,760 --> 00:01:34,560 Speaker 1: his successor to just stay out of elected politics. 30 00:01:34,640 --> 00:01:37,319 Speaker 2: And you know that has traditionally been the role of 31 00:01:37,360 --> 00:01:39,000 Speaker 2: the FED chairman. You can go back to the days 32 00:01:39,040 --> 00:01:44,280 Speaker 2: of Alan Greenspan in before generally the Fed said hardly anything, 33 00:01:45,240 --> 00:01:48,320 Speaker 2: very noncommittal on everything, and that was specifically by design 34 00:01:48,360 --> 00:01:51,240 Speaker 2: because they know whenever the Fed chairman speaks, the markets 35 00:01:51,280 --> 00:01:54,000 Speaker 2: can go crazy. There was the infamous I think it 36 00:01:54,040 --> 00:01:56,480 Speaker 2: was in either the late nineties or early two thousands 37 00:01:56,680 --> 00:02:00,320 Speaker 2: where Fed Chairman Alan Greenspan had one simple line. He 38 00:02:00,400 --> 00:02:04,320 Speaker 2: was concerned about the frothing of the stock market, and 39 00:02:04,440 --> 00:02:06,520 Speaker 2: all of a sudden people lost their minds, and the 40 00:02:06,560 --> 00:02:09,079 Speaker 2: stock market went down, and people went crazy and lost 41 00:02:09,120 --> 00:02:11,920 Speaker 2: their minds. And so that was usually the case. The 42 00:02:11,919 --> 00:02:16,160 Speaker 2: FED chairman usually doesn't say much. The last five ten years, 43 00:02:16,240 --> 00:02:18,480 Speaker 2: that's kind of changed, and it's gotten the FED chairman 44 00:02:18,520 --> 00:02:21,080 Speaker 2: in a lot of trouble. And like I said, Powell 45 00:02:21,120 --> 00:02:23,200 Speaker 2: knows he's on his way out. He's just trying to 46 00:02:23,560 --> 00:02:25,880 Speaker 2: get through every single day until his last day is 47 00:02:25,919 --> 00:02:27,720 Speaker 2: the FED chair And he's not going to raise any 48 00:02:27,760 --> 00:02:30,240 Speaker 2: eyebrows by just keeping things nice and steady with the 49 00:02:30,240 --> 00:02:31,160 Speaker 2: current interest rates. 50 00:02:31,240 --> 00:02:31,440 Speaker 3: Yeah. 51 00:02:31,440 --> 00:02:33,320 Speaker 1: Well, and many people are claiming that there's so much 52 00:02:33,400 --> 00:02:36,880 Speaker 1: uncertainty with the economy. So he's just trying to play 53 00:02:36,880 --> 00:02:37,600 Speaker 1: it cool. 54 00:02:37,480 --> 00:02:39,160 Speaker 2: Play it cool, which is what he should have been 55 00:02:39,240 --> 00:02:42,240 Speaker 2: doing this entire time, instead of raising rates like crazy 56 00:02:42,280 --> 00:02:45,120 Speaker 2: and dropping rates like crazy, especially when COVID came around, 57 00:02:45,440 --> 00:02:47,680 Speaker 2: because there is a consequence to all of this. When 58 00:02:47,680 --> 00:02:50,280 Speaker 2: the rates are really high, or at least I shouldn't 59 00:02:50,280 --> 00:02:53,200 Speaker 2: even say hig when the rates are more historically normal, 60 00:02:53,520 --> 00:02:55,400 Speaker 2: that's what we should be shooting for. It's when the 61 00:02:55,440 --> 00:02:57,959 Speaker 2: money gets too cheap that we saw right after the 62 00:02:58,000 --> 00:03:00,679 Speaker 2: great recession that we saw during COVID, that you get 63 00:03:00,680 --> 00:03:03,040 Speaker 2: all of this excess spending, you get people that take 64 00:03:03,080 --> 00:03:06,040 Speaker 2: out risky loans and then don't end up having any 65 00:03:06,080 --> 00:03:07,079 Speaker 2: consequences for them. 66 00:03:07,520 --> 00:03:12,960 Speaker 1: Okay, let's talk about boards, corporate boards and diversity trends. 67 00:03:13,080 --> 00:03:14,800 Speaker 3: Yeah, okay, fine, let's talk about it. 68 00:03:14,840 --> 00:03:18,000 Speaker 1: For the third year in a row, white men do 69 00:03:18,080 --> 00:03:20,960 Speaker 1: not hold a majority of seats on the boards of 70 00:03:21,080 --> 00:03:24,320 Speaker 1: the fiftiest fifty largest US companies. 71 00:03:25,000 --> 00:03:28,320 Speaker 2: I'm kind of surprised. I'm not surprised that we're even 72 00:03:28,400 --> 00:03:31,800 Speaker 2: straight tracking this data. I mean, haven't we gotten to 73 00:03:31,840 --> 00:03:32,800 Speaker 2: a point where. 74 00:03:32,720 --> 00:03:34,640 Speaker 1: I are the best person for the job and let 75 00:03:34,680 --> 00:03:35,040 Speaker 1: them do it. 76 00:03:35,080 --> 00:03:36,920 Speaker 2: I are the best person for the job. We had 77 00:03:37,040 --> 00:03:40,440 Speaker 2: five years or ten years of this massive DEI push. 78 00:03:40,600 --> 00:03:43,240 Speaker 2: Thank goodness, Donald Trump has tampered a lot of that 79 00:03:43,360 --> 00:03:46,160 Speaker 2: down and kind of changed that culture in this country, 80 00:03:46,200 --> 00:03:48,520 Speaker 2: and it's been beneficial for us. But I don't even 81 00:03:48,600 --> 00:03:52,400 Speaker 2: know why we're tracking the race and gender of people 82 00:03:52,440 --> 00:03:54,000 Speaker 2: that appear on corporate boards. 83 00:03:54,120 --> 00:03:57,760 Speaker 1: Yeah, well, white men, their share has risen slightly. It's 84 00:03:57,800 --> 00:04:00,880 Speaker 1: gone from forty eight point four twenty four up to 85 00:04:00,960 --> 00:04:05,200 Speaker 1: forty nine point seven percent, and that is still above 86 00:04:05,360 --> 00:04:09,440 Speaker 1: their thirty one percent share of the entire United States population. 87 00:04:10,480 --> 00:04:13,240 Speaker 3: So exactly, so so out pacing, and. 88 00:04:13,160 --> 00:04:14,960 Speaker 2: I'm sure that you'll see all sorts of posts on 89 00:04:15,000 --> 00:04:17,520 Speaker 2: social media about how it's an old boys club and 90 00:04:17,560 --> 00:04:19,960 Speaker 2: white men are getting all the fancy board jobs at 91 00:04:19,960 --> 00:04:22,799 Speaker 2: these corporate places because they're only thirty percent of the population, 92 00:04:22,880 --> 00:04:24,840 Speaker 2: yet they've got fifty percent of the board seats. 93 00:04:25,080 --> 00:04:29,800 Speaker 1: So Tesla their profit has fallen, and many people are 94 00:04:29,839 --> 00:04:34,600 Speaker 1: saying it's because of their shift to AI and robo taxis. 95 00:04:35,560 --> 00:04:37,839 Speaker 1: Oh boy, what is Elon going to do? 96 00:04:38,440 --> 00:04:40,680 Speaker 2: I know Elon's going to be fine. I'm sure he's 97 00:04:40,680 --> 00:04:42,560 Speaker 2: going to dry his eyes with one hundred dollars bills. 98 00:04:43,040 --> 00:04:45,920 Speaker 1: Robo taxi. Okay, they're going to be launching in Houston 99 00:04:46,320 --> 00:04:49,320 Speaker 1: and Miami and five other cities the first half of 100 00:04:49,360 --> 00:04:52,880 Speaker 1: this year. That's like the Waymo vehicle. Yeah, self driving. 101 00:04:53,040 --> 00:04:55,440 Speaker 2: I mean, there's a lot of different companies that are 102 00:04:55,440 --> 00:04:58,200 Speaker 2: in this space. Waimo is kind of the dominant one 103 00:04:58,279 --> 00:05:01,040 Speaker 2: right now, and I have not been to I have 104 00:05:01,120 --> 00:05:03,440 Speaker 2: not seen a Waimo in real life. I've not taken 105 00:05:03,440 --> 00:05:05,480 Speaker 2: a ride in a Waymo in real life. They're big 106 00:05:05,560 --> 00:05:08,040 Speaker 2: in some specific cities. There's a ton of them. If 107 00:05:08,080 --> 00:05:09,880 Speaker 2: you talk to anybody that has ever gone to Austin 108 00:05:10,000 --> 00:05:12,479 Speaker 2: in the last couple of years, I mean, the Waymos 109 00:05:12,520 --> 00:05:15,719 Speaker 2: are everywhere. Las Vegas has a high percentage of Waymo's 110 00:05:15,760 --> 00:05:19,080 Speaker 2: as well, and Elon Musk has been, you know, one 111 00:05:19,160 --> 00:05:22,000 Speaker 2: of the big pioneers on self driving automobiles. There's a 112 00:05:22,000 --> 00:05:24,560 Speaker 2: feature in Tesla I think they call it driver Assist 113 00:05:25,440 --> 00:05:28,720 Speaker 2: where it can, you know, not completely take over your car, 114 00:05:28,760 --> 00:05:30,880 Speaker 2: although in some instances it can, but it can certainly 115 00:05:30,920 --> 00:05:32,320 Speaker 2: help out in certain situations. 116 00:05:33,160 --> 00:05:35,600 Speaker 3: You know, Hey, if you want to doubt Elon Musk. 117 00:05:35,680 --> 00:05:38,600 Speaker 2: If there are still Elon Musk doubters out there when 118 00:05:38,600 --> 00:05:41,600 Speaker 2: it comes to building companies and running companies, go ahead. 119 00:05:41,839 --> 00:05:44,200 Speaker 2: I'm not one of them. I'm not concerned that Tesla's 120 00:05:44,200 --> 00:05:47,520 Speaker 2: profits down. I'm sure Elon's going to find something that'll 121 00:05:47,920 --> 00:05:49,960 Speaker 2: drive those profits back up and turn it into a 122 00:05:50,800 --> 00:05:51,400 Speaker 2: strong company. 123 00:05:51,680 --> 00:05:53,480 Speaker 1: Well, one of the reasons they say that the profits 124 00:05:53,480 --> 00:05:56,320 Speaker 1: are down a little on Tesla is because of slower 125 00:05:56,360 --> 00:06:01,080 Speaker 1: sales the boycotts. We've seen that although those boycotts seem 126 00:06:01,200 --> 00:06:03,920 Speaker 1: to have simmered down just a bit. They also have 127 00:06:03,960 --> 00:06:08,240 Speaker 1: an aging vehicle lineup. Have they introduced any new vehicles recently? 128 00:06:08,920 --> 00:06:11,120 Speaker 1: You had the cyber truck, but that's the last big 129 00:06:11,120 --> 00:06:11,680 Speaker 1: one you heard of. 130 00:06:11,800 --> 00:06:14,680 Speaker 2: It's a difficult space to be in because consumers for 131 00:06:14,720 --> 00:06:17,800 Speaker 2: the most part, don't want electric vehicles. There's still a 132 00:06:17,839 --> 00:06:20,840 Speaker 2: lot of problems with electric vehicles. Range and availability of 133 00:06:20,920 --> 00:06:23,200 Speaker 2: charging stations are a couple of the big ones. But 134 00:06:23,240 --> 00:06:25,440 Speaker 2: here's the other big thing, and you're seeing this not 135 00:06:25,600 --> 00:06:29,920 Speaker 2: just with Tesla but other electronic or electric car manufacturers. 136 00:06:30,120 --> 00:06:31,560 Speaker 3: The federal subsidy. 137 00:06:31,080 --> 00:06:34,599 Speaker 2: Of seven hundred and fifty dollars or five hundred dollars 138 00:06:34,680 --> 00:06:37,360 Speaker 2: per electric vehicle purchase completely run away. 139 00:06:37,480 --> 00:06:38,279 Speaker 3: Yeah, that's gone. 140 00:06:38,320 --> 00:06:42,120 Speaker 2: You remember Jeff Bezos, one of his companies, rolled out 141 00:06:42,120 --> 00:06:45,039 Speaker 2: the slate truck, and it was what everybody was taught. 142 00:06:45,120 --> 00:06:46,480 Speaker 3: It was twenty thousand dollars. 143 00:06:46,520 --> 00:06:48,440 Speaker 2: It was stripped down, but it was an electric truck, 144 00:06:48,440 --> 00:06:50,400 Speaker 2: and it made a huge social media splash at the 145 00:06:50,480 --> 00:06:53,920 Speaker 2: end of last year, and then came along the removal 146 00:06:54,040 --> 00:06:57,160 Speaker 2: of the seven five hundred dollars tax credit for purchasing those, 147 00:06:57,320 --> 00:06:59,359 Speaker 2: and all of a sudden, when they marketed that twenty 148 00:06:59,400 --> 00:07:02,440 Speaker 2: thousand dollars slate truck, that was with that tax credit. 149 00:07:02,720 --> 00:07:05,240 Speaker 2: So it's no longer a twenty thousand dollars truck. It's 150 00:07:05,240 --> 00:07:09,000 Speaker 2: closer to a thirty thousand dollars truck. That's gonna hurt sales. 151 00:07:09,160 --> 00:07:12,360 Speaker 2: I don't think this is a specific Tesla problem necessarily, 152 00:07:12,560 --> 00:07:15,320 Speaker 2: it's a problem for all electric manufacturers. 153 00:07:15,400 --> 00:07:18,280 Speaker 1: Well, and there's a new competition from Chinese ev makers 154 00:07:18,320 --> 00:07:23,160 Speaker 1: as well. Now, despite Tesla's profits dropping, they're stock rose 155 00:07:23,240 --> 00:07:23,880 Speaker 1: nine percent. 156 00:07:24,040 --> 00:07:25,760 Speaker 3: Isn't that funny how that working okay? Well? 157 00:07:26,040 --> 00:07:29,640 Speaker 1: Isn't that just a show that there's more faith in 158 00:07:29,680 --> 00:07:33,280 Speaker 1: Elon Musk and his long term vision. I guess they're 159 00:07:33,320 --> 00:07:36,480 Speaker 1: looking at maybe some of his other projects, like the 160 00:07:36,520 --> 00:07:40,880 Speaker 1: Optimist robot, which is going to be in production this year. 161 00:07:41,080 --> 00:07:41,320 Speaker 3: Yeah. 162 00:07:41,720 --> 00:07:43,920 Speaker 2: Elon Musk was in Davos last week. He talked a 163 00:07:43,960 --> 00:07:46,200 Speaker 2: lot about the development of AI. He talked a lot 164 00:07:46,240 --> 00:07:49,520 Speaker 2: about the Optimists. I keep wanting to call it Optimist Prime, 165 00:07:49,520 --> 00:07:51,960 Speaker 2: which is from Transformers and that's where Elon got the name, 166 00:07:51,960 --> 00:07:55,760 Speaker 2: but it's it's the Optimist robot. And Elon Musk said 167 00:07:55,760 --> 00:07:59,520 Speaker 2: that he expects a model, a consumer model of an 168 00:07:59,520 --> 00:08:02,840 Speaker 2: Optimist robot, to be available to the public by. 169 00:08:02,760 --> 00:08:04,120 Speaker 3: The end of this year. 170 00:08:04,480 --> 00:08:08,280 Speaker 2: That is absolutely mind blowing to me that there would 171 00:08:08,280 --> 00:08:10,920 Speaker 2: be a process where I could just walk into a store. 172 00:08:11,320 --> 00:08:14,160 Speaker 3: Sure it's not going to be cheap and buy your 173 00:08:14,200 --> 00:08:17,760 Speaker 3: own robot. Are you down. Are you with me on that? 174 00:08:17,880 --> 00:08:19,920 Speaker 3: Are we getting a robot when it comes available? 175 00:08:20,040 --> 00:08:22,840 Speaker 1: I don't think so. I believe that there's better money, 176 00:08:22,880 --> 00:08:25,400 Speaker 1: just you know, better things to spend money on. It's 177 00:08:25,440 --> 00:08:26,679 Speaker 1: like thirty thousand dollars. 178 00:08:26,880 --> 00:08:29,600 Speaker 2: Okay, fine, we'll save up for a while, but like 179 00:08:29,640 --> 00:08:31,760 Speaker 2: several years to get thirty thousand dollars for that. 180 00:08:31,920 --> 00:08:35,240 Speaker 1: I just think I just have visions of the Will 181 00:08:35,280 --> 00:08:38,560 Speaker 1: Smith Eye Robot movie, that it's going to turn evil 182 00:08:38,600 --> 00:08:41,200 Speaker 1: on us and get me when I'm asleep one night. 183 00:08:41,320 --> 00:08:44,080 Speaker 2: Sure that might happen, but you also remember from the 184 00:08:44,120 --> 00:08:45,440 Speaker 2: Will Smith Eye Robot movie. 185 00:08:45,480 --> 00:08:47,880 Speaker 3: You remember when he went and visited his grandma, and 186 00:08:47,920 --> 00:08:48,880 Speaker 3: his grandma. 187 00:08:48,520 --> 00:08:51,040 Speaker 2: Had one of those robots, and all they did was 188 00:08:51,120 --> 00:08:54,400 Speaker 2: cook all day long, turkeys and roasts and pies. 189 00:08:54,960 --> 00:08:56,120 Speaker 3: Had a whole table full. 190 00:08:56,000 --> 00:08:58,000 Speaker 1: Of foods, and look at the food they. 191 00:08:58,000 --> 00:09:01,040 Speaker 2: Kick robot was doing the sewing and cleaning the house 192 00:09:01,080 --> 00:09:03,760 Speaker 2: and mowing her lawn and changing the oil in the car. 193 00:09:03,840 --> 00:09:06,319 Speaker 2: And that's what I'm excited about. A robot for take 194 00:09:06,320 --> 00:09:09,240 Speaker 2: care of all the daily, you know, mundane chores of 195 00:09:09,280 --> 00:09:10,199 Speaker 2: life and turn it. 196 00:09:10,120 --> 00:09:10,920 Speaker 3: Over to the robot. 197 00:09:11,240 --> 00:09:14,120 Speaker 2: And sure he made the robot may go crazy and 198 00:09:14,120 --> 00:09:19,360 Speaker 2: go violent down the family. It's just an expected consequence. 199 00:09:18,760 --> 00:09:22,800 Speaker 1: Of it, right, roll your dice on that. So Malania 200 00:09:22,880 --> 00:09:25,320 Speaker 1: Trump has been making the rounds. Of course, she's promoting 201 00:09:25,360 --> 00:09:30,079 Speaker 1: her docu. What do you call it, it's a documentary documovie. 202 00:09:30,360 --> 00:09:31,920 Speaker 3: No, it's a documentary documentary. 203 00:09:31,960 --> 00:09:35,080 Speaker 1: It's going to be in theaters starting tomorrow. She rang 204 00:09:35,120 --> 00:09:37,840 Speaker 1: the bell at the New York Stock Exchange and she's 205 00:09:37,880 --> 00:09:40,320 Speaker 1: been appearing on the different talk shows. One thing that 206 00:09:40,360 --> 00:09:44,680 Speaker 1: she was talking about was Baron Trump. Of course, she 207 00:09:44,880 --> 00:09:48,599 Speaker 1: said that he has grown a lot since the first administration. 208 00:09:49,160 --> 00:09:53,160 Speaker 4: It's very different. You know, he's nineteen almost twenty years old. 209 00:09:53,240 --> 00:09:56,839 Speaker 4: I'm very proud of him, and he's incredible young man. 210 00:09:57,920 --> 00:10:02,400 Speaker 4: He understands now. He's involved. He know what's going on 211 00:10:02,480 --> 00:10:05,720 Speaker 4: in the world. He talked with his dad, he talks 212 00:10:05,720 --> 00:10:08,520 Speaker 4: with me. He was very involved in the campaign. He 213 00:10:08,600 --> 00:10:11,360 Speaker 4: gave him all of the ideas who he needs to 214 00:10:11,400 --> 00:10:17,000 Speaker 4: talk to, all of these YouTubers and you know, podcasts. 215 00:10:17,040 --> 00:10:23,320 Speaker 4: So he was really a smart mind behind it and 216 00:10:23,480 --> 00:10:24,000 Speaker 4: very tall. 217 00:10:24,480 --> 00:10:26,480 Speaker 2: Yeah, when they say he has grown a lot since 218 00:10:26,480 --> 00:10:29,240 Speaker 2: the first administration, that's the first thing that everybody goes to. 219 00:10:29,320 --> 00:10:31,600 Speaker 2: He was, you know, just a normal kid, maybe five 220 00:10:31,640 --> 00:10:33,120 Speaker 2: to seven, and now all of a sudden, he's like, 221 00:10:33,120 --> 00:10:33,959 Speaker 2: what six seven? 222 00:10:34,360 --> 00:10:35,120 Speaker 3: The guy's huge. 223 00:10:35,440 --> 00:10:37,320 Speaker 1: So a lot of people are saying that the ticket 224 00:10:37,360 --> 00:10:40,400 Speaker 1: sales are not going very well for that documentary. I'm 225 00:10:40,440 --> 00:10:43,400 Speaker 1: interested in seeing it, However, I'm not going to pay 226 00:10:43,840 --> 00:10:46,520 Speaker 1: movie ticket price to go see it. Eventually, it'll come 227 00:10:46,559 --> 00:10:49,040 Speaker 1: out on a streaming service, which I already pay for. 228 00:10:49,240 --> 00:10:52,240 Speaker 3: And to be fair, you're not a big movie goer. 229 00:10:52,480 --> 00:10:53,360 Speaker 1: Oh well, there's that. 230 00:10:53,880 --> 00:10:57,480 Speaker 3: What was the last in the theater movie you saw, right, 231 00:10:57,559 --> 00:10:59,720 Speaker 3: don't What was it? 232 00:11:00,360 --> 00:11:03,600 Speaker 2: Oppenheimer? Probably, and I think that was like three years ago. 233 00:11:03,679 --> 00:11:06,240 Speaker 2: So to be fair, you're you're not going and seeing 234 00:11:06,280 --> 00:11:08,640 Speaker 2: anybody in the theater Milania. 235 00:11:08,120 --> 00:11:10,599 Speaker 3: Trump or not. But yeah, I love documentary. 236 00:11:10,679 --> 00:11:11,960 Speaker 2: So that'll be a good one to see once it 237 00:11:12,000 --> 00:11:13,840 Speaker 2: comes out on Amazon or Netflix. 238 00:11:13,920 --> 00:11:25,360 Speaker 1: Yep, it is ninety three WYBC turns out you can 239 00:11:25,520 --> 00:11:27,079 Speaker 1: use any excuse you want. 240 00:11:28,840 --> 00:11:30,920 Speaker 3: Yeah, what do you got? What excuse are you using 241 00:11:30,920 --> 00:11:31,320 Speaker 3: this time? 242 00:11:31,559 --> 00:11:32,800 Speaker 1: Uh? It was a booger. 243 00:11:35,120 --> 00:11:36,360 Speaker 3: Oh well, I can't wait to hear this. 244 00:11:36,840 --> 00:11:40,880 Speaker 1: There was a seventy year old delivery driver and he 245 00:11:41,160 --> 00:11:44,880 Speaker 1: flicked a cigarette butt out his window and he received 246 00:11:44,920 --> 00:11:49,440 Speaker 1: a littering ticket, But when he was pulled over, he said, no, no, no, 247 00:11:49,880 --> 00:11:54,720 Speaker 1: that wasn't a cigarette and then he sneezed and said 248 00:11:54,760 --> 00:11:55,640 Speaker 1: it was a booger. 249 00:11:56,080 --> 00:11:58,280 Speaker 2: Look, I got to give this guy some props for 250 00:11:58,360 --> 00:12:02,800 Speaker 2: being creative on this, but if a cigarette butt is 251 00:12:02,840 --> 00:12:08,000 Speaker 2: considered littering, wouldn't a booger also be considered littering? 252 00:12:08,520 --> 00:12:11,120 Speaker 1: How it's biodecredible once not, but. 253 00:12:11,120 --> 00:12:13,040 Speaker 2: I don't think that matters when it comes to littering, 254 00:12:13,120 --> 00:12:15,400 Speaker 2: Like how big does the item have to be to 255 00:12:15,480 --> 00:12:18,959 Speaker 2: be considered littering? Like you could spit on the ground 256 00:12:19,080 --> 00:12:22,120 Speaker 2: that could be considered littering as well. Actually spitting and 257 00:12:22,240 --> 00:12:25,480 Speaker 2: a booger is more of a biohazard in my opinion 258 00:12:25,559 --> 00:12:29,440 Speaker 2: than a cigarette butt. You've got potentially, you know, whatever 259 00:12:29,520 --> 00:12:32,160 Speaker 2: disease that guy's got or infection he's got going on 260 00:12:32,200 --> 00:12:35,880 Speaker 2: in his sinuses is now on display for the entire public. So, 261 00:12:36,200 --> 00:12:40,440 Speaker 2: I mean, very creative excuse, But if I'm a police officer, 262 00:12:40,440 --> 00:12:42,640 Speaker 2: it almost seems like there's an even bigger crime if 263 00:12:43,080 --> 00:12:45,559 Speaker 2: you're flicking a booger out the window versus a cigarette butt. 264 00:12:45,640 --> 00:12:49,280 Speaker 1: Okay, so the guy he plans to challenge the fine 265 00:12:49,360 --> 00:12:53,400 Speaker 1: in court. Awesome, and he's questioning why his word isn't 266 00:12:53,440 --> 00:12:58,360 Speaker 1: treated as equal as the issuing officer's word. But listen 267 00:12:58,520 --> 00:13:04,840 Speaker 1: to this. This city council is insisting on photographic evidence. 268 00:13:05,400 --> 00:13:08,320 Speaker 1: They want to use the cameras that are on the 269 00:13:08,360 --> 00:13:10,280 Speaker 1: streets to get a picture of the guy. 270 00:13:10,800 --> 00:13:13,319 Speaker 2: Actually, we've got spy cams on our streets, we've got 271 00:13:13,360 --> 00:13:15,800 Speaker 2: license plate reading video, you know, cameras. 272 00:13:15,440 --> 00:13:16,160 Speaker 3: All over the place. 273 00:13:16,240 --> 00:13:19,120 Speaker 2: Now we need booger cameras on the streets so that 274 00:13:19,160 --> 00:13:21,480 Speaker 2: we can catch people. But I love the fact that 275 00:13:21,559 --> 00:13:24,640 Speaker 2: this guy is going to court to plead his case 276 00:13:24,679 --> 00:13:28,000 Speaker 2: and defend it. He is going all in and also 277 00:13:28,600 --> 00:13:30,120 Speaker 2: admitting in court. 278 00:13:30,200 --> 00:13:33,360 Speaker 3: Can you imagine under oath that he's a nosepicker. 279 00:13:33,840 --> 00:13:36,480 Speaker 1: I was picking my nose. That wasn't smoking. 280 00:13:37,360 --> 00:13:40,240 Speaker 2: Smoking is disgusting. I was only picking my nose. 281 00:13:40,040 --> 00:13:44,000 Speaker 1: Off eight which one is worse? I mean they're both gross, right. 282 00:13:44,240 --> 00:13:47,320 Speaker 3: But socially it's close. 283 00:13:47,360 --> 00:13:49,960 Speaker 2: But in my mind, flicking a booger is worse than 284 00:13:49,960 --> 00:13:51,040 Speaker 2: smoking a cigarette. 285 00:13:51,080 --> 00:13:53,679 Speaker 1: Howie. I mean, like the officer's got to be like, no, 286 00:13:53,760 --> 00:13:56,920 Speaker 1: I saw something, that's what That's one mighty booger. 287 00:13:57,000 --> 00:14:01,040 Speaker 3: Can you imagine big the size of that nose boulder 288 00:14:01,120 --> 00:14:02,040 Speaker 3: that he pulled out. 289 00:14:02,040 --> 00:14:04,880 Speaker 2: If it can be confused for a cigarette butt, that's 290 00:14:04,880 --> 00:14:05,520 Speaker 2: got to be huge. 291 00:14:05,679 --> 00:14:08,200 Speaker 3: Go see a doctor, sir, you may have a medical problem. 292 00:14:08,280 --> 00:14:11,079 Speaker 1: You have an issue, Okay, and other gross news. 293 00:14:11,640 --> 00:14:12,240 Speaker 3: Line them up. 294 00:14:12,640 --> 00:14:15,599 Speaker 1: We're going to continue on with this theme. There is 295 00:14:15,720 --> 00:14:19,280 Speaker 1: a major sewer line and it was carrying wastewater from 296 00:14:19,360 --> 00:14:23,720 Speaker 1: Virginia and Maryland to DC and it collapsed. So our 297 00:14:23,800 --> 00:14:28,560 Speaker 1: nation's capital is literally under a pile of crack. 298 00:14:28,800 --> 00:14:32,760 Speaker 3: Swimming in pooh a sewer line going. I mean, look, 299 00:14:33,080 --> 00:14:33,960 Speaker 3: I mean it had. 300 00:14:33,880 --> 00:14:40,880 Speaker 1: Forty million gallons of untreated sewage dumping into the Potomac. 301 00:14:41,640 --> 00:14:45,640 Speaker 2: That is I mean, there's so many variables there. Just 302 00:14:45,720 --> 00:14:49,160 Speaker 2: the idea of a sewer line taking poop into Washington 303 00:14:49,240 --> 00:14:51,200 Speaker 2: d C. You'd think that the crap needs to go 304 00:14:51,360 --> 00:14:52,640 Speaker 2: out of Washington d C. 305 00:14:52,960 --> 00:14:57,200 Speaker 1: Eight. The eco eye levels they were measured at twelve 306 00:14:57,240 --> 00:15:02,359 Speaker 1: thousand times the recommended limit for human contact. Whatever you do, 307 00:15:02,360 --> 00:15:04,600 Speaker 1: do not swim in the Potomac River. 308 00:15:04,800 --> 00:15:05,440 Speaker 3: Can you imagine. 309 00:15:05,480 --> 00:15:07,840 Speaker 2: But you see those videos all the time, especially like 310 00:15:07,920 --> 00:15:10,720 Speaker 2: the what do they call the rowing guys crew, the 311 00:15:10,800 --> 00:15:13,120 Speaker 2: crew guys that are like rowing their little skinny boats 312 00:15:13,120 --> 00:15:15,560 Speaker 2: in the river with their oars, and now they've they've 313 00:15:15,600 --> 00:15:19,240 Speaker 2: got to, you know, avoid things that may be floating 314 00:15:19,280 --> 00:15:20,200 Speaker 2: in the Potomac River. 315 00:15:20,400 --> 00:15:23,440 Speaker 1: So disgusting. So the bacteria levels were sixty times higher 316 00:15:23,440 --> 00:15:28,280 Speaker 1: than what is safe, and the sewage was reportedly bubbling 317 00:15:28,720 --> 00:15:32,640 Speaker 1: like a guyser two to three feet high. 318 00:15:32,720 --> 00:15:34,640 Speaker 2: Can we go back to the booger story that was 319 00:15:35,560 --> 00:15:37,720 Speaker 2: less disgusting than the sewage story? 320 00:15:38,560 --> 00:15:42,360 Speaker 1: A geyser, a two to three foot high geyser, A 321 00:15:42,440 --> 00:15:47,520 Speaker 1: geyser of sewage, of sewage. So DC's drinking water system 322 00:15:47,600 --> 00:15:52,240 Speaker 1: is separate. They're saying that it is not effective, not affected, 323 00:15:52,360 --> 00:15:56,760 Speaker 1: and the pumps that have been diverted, they're cleaning it up. 324 00:15:56,880 --> 00:15:58,040 Speaker 3: I don't even know how you do that. 325 00:15:58,080 --> 00:16:00,640 Speaker 2: How do you clean up forty some thousand gallons of 326 00:16:00,720 --> 00:16:01,840 Speaker 2: raw sewage in a river? 327 00:16:02,720 --> 00:16:05,360 Speaker 1: Just dump more clean water into it and dilute it, 328 00:16:05,480 --> 00:16:08,720 Speaker 1: try to dilute it. I don't know. 329 00:16:08,960 --> 00:16:12,920 Speaker 2: It's just can you imagine what what a house in Washington, 330 00:16:13,000 --> 00:16:16,720 Speaker 2: DC on the Potomac River cost? The millions and millions 331 00:16:16,720 --> 00:16:18,640 Speaker 2: of dollars that that would cost. And you walk out 332 00:16:18,680 --> 00:16:21,600 Speaker 2: your backyard and it smells like a sewage treatment plant. 333 00:16:21,720 --> 00:16:22,960 Speaker 1: Yeah, that would not be good. 334 00:16:23,280 --> 00:16:24,000 Speaker 3: I bet they got that. 335 00:16:24,120 --> 00:16:28,080 Speaker 2: Those people, those poor hey, they'll be the ones that'll 336 00:16:28,080 --> 00:16:29,800 Speaker 2: figure out how to get that river cleaned up. 337 00:16:29,840 --> 00:16:30,720 Speaker 3: Real real things. 338 00:16:30,800 --> 00:16:33,560 Speaker 1: I'm really concerned about them. Okay. So the headset worn 339 00:16:33,640 --> 00:16:38,000 Speaker 1: by Indiana coach Kurt Signetti during the College Football Playoff 340 00:16:38,080 --> 00:16:41,600 Speaker 1: National Championship game being sold at auction. 341 00:16:41,920 --> 00:16:44,600 Speaker 3: Okay, so this is kind of right in my wheelhouse. 342 00:16:44,520 --> 00:16:46,440 Speaker 1: Right up your ally, because this is what you do 343 00:16:46,600 --> 00:16:50,800 Speaker 1: actually when you're not. Yeah, and you can find Jim 344 00:16:50,800 --> 00:16:53,760 Speaker 1: at CGC Underscore SI Yes. 345 00:16:53,560 --> 00:16:56,280 Speaker 2: Twitter, on Twitter and Instagram and all the other platforms 346 00:16:56,280 --> 00:16:59,800 Speaker 2: out there. So these are actual game worn and gain 347 00:17:00,160 --> 00:17:03,000 Speaker 2: used items from the Hoosiers playoff run. 348 00:17:03,080 --> 00:17:04,720 Speaker 3: So let's go, let's go through some of these. Some 349 00:17:04,760 --> 00:17:05,720 Speaker 3: of these things have already sold. 350 00:17:05,760 --> 00:17:09,159 Speaker 2: So for example, a game used football from the Peach 351 00:17:09,240 --> 00:17:11,800 Speaker 2: Bowl that would have been the Oregon game, not the 352 00:17:11,880 --> 00:17:14,480 Speaker 2: National Championship game, but a game used football from the 353 00:17:14,480 --> 00:17:18,119 Speaker 2: Peach Bowl sold for seventy two hundred dollars. That's a lot. 354 00:17:18,160 --> 00:17:21,880 Speaker 2: That's a lot. Even in the world of game used memorabilia. 355 00:17:21,960 --> 00:17:25,359 Speaker 2: Seventy two hundred dollars is a lot. A game warn 356 00:17:25,480 --> 00:17:28,480 Speaker 2: Peach Bowl patch sold for three hundred and thirty dollars. 357 00:17:29,000 --> 00:17:31,320 Speaker 2: There's a couple of active auctions. I can get a 358 00:17:31,440 --> 00:17:36,560 Speaker 2: Gatorade towel that was used in the National Championship Game. 359 00:17:36,800 --> 00:17:40,760 Speaker 2: Current bid seven hundred and twenty dollars. Let's see here, 360 00:17:40,840 --> 00:17:43,159 Speaker 2: Peach Bowl, rose Ball. That's good. That the granddaddy of 361 00:17:43,200 --> 00:17:44,800 Speaker 2: them all. I can get a towel that was used 362 00:17:44,800 --> 00:17:47,359 Speaker 2: in the Rose Bowl game. Current bid six hundred dollars. 363 00:17:47,480 --> 00:17:50,159 Speaker 2: But the one that is attracting all the attention is 364 00:17:50,280 --> 00:17:55,600 Speaker 2: Kirk Signetti's game worn headset from the National Championship Game. 365 00:17:55,640 --> 00:17:57,280 Speaker 2: So you see that when he's on the sidelines, he's 366 00:17:57,320 --> 00:17:59,639 Speaker 2: got the headset, the little microphone on there. It's got 367 00:17:59,640 --> 00:18:02,080 Speaker 2: an eight and T logo because it was obviously sponsored 368 00:18:02,119 --> 00:18:06,719 Speaker 2: by AT and T. Current bid on that sixteen thousand dollars, 369 00:18:07,000 --> 00:18:10,000 Speaker 2: and there's still over ten days left in the auctions. 370 00:18:10,600 --> 00:18:13,800 Speaker 2: That is the that's the one that everybody's focusing on. 371 00:18:13,880 --> 00:18:15,760 Speaker 2: That's the one that's going to have the most demand 372 00:18:15,840 --> 00:18:19,760 Speaker 2: from collectors for a number of reasons. It was Kirk Signettes, 373 00:18:19,800 --> 00:18:22,440 Speaker 2: so you can attach it to a specific player or coach. 374 00:18:22,600 --> 00:18:25,959 Speaker 2: It was worn during the National Championship Game. That headset 375 00:18:26,000 --> 00:18:32,080 Speaker 2: was on TV constantly it's a very desirabl desirable collectible. 376 00:18:32,160 --> 00:18:34,760 Speaker 2: Current bid sixteen thousand dollars. We're gonna have to revisit 377 00:18:34,840 --> 00:18:36,719 Speaker 2: this after the auction closes, because I'm going to give 378 00:18:36,760 --> 00:18:37,800 Speaker 2: you my prediction right now. 379 00:18:38,320 --> 00:18:40,359 Speaker 3: Write this down, Kevin, write this down. 380 00:18:40,440 --> 00:18:43,480 Speaker 2: I am predicting that the final sale price for Kurt 381 00:18:43,520 --> 00:18:47,320 Speaker 2: Signetti's game warn headset from the National Championship, it will 382 00:18:47,359 --> 00:18:49,679 Speaker 2: exceed fifty thousand dollars. 383 00:18:49,680 --> 00:18:50,560 Speaker 1: Are you kidding me? 384 00:18:50,680 --> 00:18:51,280 Speaker 3: I'm not kidding you. 385 00:18:51,440 --> 00:18:53,200 Speaker 1: That is fifty thousand dollars. 386 00:18:53,320 --> 00:18:54,560 Speaker 3: Well, you've got to think so. 387 00:18:54,600 --> 00:18:58,960 Speaker 2: In the game worn collectible world, it's common for people 388 00:18:59,000 --> 00:19:01,359 Speaker 2: to pay a million dollars for a jersey. I mean, 389 00:19:01,400 --> 00:19:04,160 Speaker 2: there are a million dollar jersey sales that happen all 390 00:19:04,280 --> 00:19:07,720 Speaker 2: the time. Six figure sales happen every single day for 391 00:19:07,880 --> 00:19:11,320 Speaker 2: jerseys and helmets and basketballs and baseballs and footballs. 392 00:19:11,440 --> 00:19:14,359 Speaker 3: I mean, this is a pretty important piece of collectible memorabilia. 393 00:19:14,400 --> 00:19:17,960 Speaker 2: Over fifty thousand dollars, that'll be the final, the final, 394 00:19:18,320 --> 00:19:20,560 Speaker 2: the final bid on this. It'll be more than fifty thousand. 395 00:19:20,720 --> 00:19:22,159 Speaker 2: Current bid sixteen thousand. 396 00:19:22,200 --> 00:19:24,199 Speaker 1: Yeah, they've had at least over eighty bids place. The 397 00:19:24,200 --> 00:19:28,680 Speaker 1: auction ends in early February in More, Kurt Signetti news 398 00:19:28,680 --> 00:19:32,000 Speaker 1: he gave a shout out to Upland Beer and now 399 00:19:32,080 --> 00:19:36,399 Speaker 1: they're releasing a National Championship Edition. What is this called? 400 00:19:37,000 --> 00:19:39,560 Speaker 1: So called the Who's Your Game Day Lagger? Right? 401 00:19:39,640 --> 00:19:42,480 Speaker 2: Well, so the Upland had a beer that was called 402 00:19:42,520 --> 00:19:45,119 Speaker 2: Game Day Lagger. Kurt Signette gave him that shout out 403 00:19:45,160 --> 00:19:47,520 Speaker 2: and you can still get the Game Day Lagger beer 404 00:19:47,560 --> 00:19:50,800 Speaker 2: at Upland Brewing Company. But now they're issuing a special 405 00:19:51,000 --> 00:19:55,639 Speaker 2: edition of that Game Day Lagger called the National Champion Edition. 406 00:19:55,760 --> 00:19:57,920 Speaker 2: I'm looking so, I'm looking at the can right now. 407 00:19:57,920 --> 00:19:59,920 Speaker 2: They did a great Upland Brewing did a very nice 408 00:20:00,040 --> 00:20:02,679 Speaker 2: job on their packaging for starters. It's got the candy 409 00:20:02,680 --> 00:20:05,280 Speaker 2: cane red and white stripe on it that looks great. 410 00:20:05,320 --> 00:20:07,679 Speaker 2: It's got the Upland Brewery logo, and then it's got 411 00:20:07,680 --> 00:20:09,320 Speaker 2: the National Championship logo on. 412 00:20:09,320 --> 00:20:09,920 Speaker 3: The back of it. 413 00:20:10,040 --> 00:20:13,600 Speaker 1: A classically smooth and refreshing beer, that's what they're saying. 414 00:20:14,240 --> 00:20:16,160 Speaker 1: It is ninety three WYBC. 415 00:20:19,960 --> 00:20:21,720 Speaker 3: Hey guess what, yeah, what you got. 416 00:20:23,640 --> 00:20:28,080 Speaker 1: There's a issue that's gatning steam across the United States. 417 00:20:28,160 --> 00:20:30,440 Speaker 1: It's the anti property tax movement. 418 00:20:31,359 --> 00:20:31,840 Speaker 3: That's weird. 419 00:20:31,960 --> 00:20:35,359 Speaker 1: Oh, Yeah, except just not happening here. It's happening in 420 00:20:35,400 --> 00:20:39,960 Speaker 1: North Dakota, Florida, and Georgia. Also Oklahoma, Ohio, and Michigan. 421 00:20:40,520 --> 00:20:43,359 Speaker 2: That's a lot of states that are making a lot 422 00:20:43,440 --> 00:20:45,920 Speaker 2: more progress on this, it sounds like than us here 423 00:20:45,960 --> 00:20:47,000 Speaker 2: in the state of Indiana. 424 00:20:47,119 --> 00:20:49,800 Speaker 1: Yeah. Of course, you've got your local governments and schools 425 00:20:49,840 --> 00:20:54,639 Speaker 1: that they're relying heavily on property taxes. But Ron Desanta 426 00:20:54,720 --> 00:20:59,200 Speaker 1: is saying he's seeking to phase out nonschool property taxes 427 00:20:59,560 --> 00:21:03,840 Speaker 1: over ten years, and local governments are disputing claims that 428 00:21:03,880 --> 00:21:06,959 Speaker 1: they overspend and that they can't do without that money. 429 00:21:07,200 --> 00:21:09,000 Speaker 3: Of course, you're right, have to shut the lights off. 430 00:21:09,040 --> 00:21:10,919 Speaker 2: The lights are gonna have to go off in local 431 00:21:10,920 --> 00:21:14,439 Speaker 2: communities and schools across the world because they don't have 432 00:21:14,520 --> 00:21:18,720 Speaker 2: every single penny. It's amazing how all of these government institutions, 433 00:21:18,720 --> 00:21:24,159 Speaker 2: schools included, have not had to make do with less, 434 00:21:24,400 --> 00:21:26,680 Speaker 2: just like the taxpayers have had to do the last 435 00:21:26,680 --> 00:21:27,480 Speaker 2: five or six years. 436 00:21:27,520 --> 00:21:30,080 Speaker 1: Now, looking at this on a national context, you've got 437 00:21:30,320 --> 00:21:34,680 Speaker 1: Bala initiatives in Oklahoma, Ohio, and Michigan, and they are 438 00:21:35,119 --> 00:21:39,640 Speaker 1: aiming to eliminate property taxes. Of course, they face uncertainty 439 00:21:40,240 --> 00:21:43,920 Speaker 1: and you've got Rond de Santis here and he's talking 440 00:21:43,960 --> 00:21:47,520 Speaker 1: about how property tax is a scam. 441 00:21:47,760 --> 00:21:48,439 Speaker 3: You know, if I go to. 442 00:21:48,480 --> 00:21:50,440 Speaker 5: Best Buy and buy a flat screen TV and put 443 00:21:50,480 --> 00:21:51,879 Speaker 5: it on the wall, I got to pay a sales 444 00:21:51,920 --> 00:21:54,439 Speaker 5: tax on it, right, But I don't keep paying tax 445 00:21:54,480 --> 00:21:56,600 Speaker 5: on it every year. I mean, it's just not that's 446 00:21:56,640 --> 00:21:58,920 Speaker 5: not how we do things. It's like, Okay, if you're 447 00:21:58,920 --> 00:22:02,199 Speaker 5: going to tax something, tax it at the transaction and 448 00:22:02,240 --> 00:22:07,800 Speaker 5: then let people actually enjoy their private property free and 449 00:22:07,800 --> 00:22:10,159 Speaker 5: clear of the government. So that, I think is the vision. 450 00:22:10,240 --> 00:22:13,640 Speaker 5: That's the philosophical insight. And if you think about our 451 00:22:13,680 --> 00:22:18,280 Speaker 5: founding fathers when they were proposing the Constitution. In one 452 00:22:18,320 --> 00:22:20,440 Speaker 5: of the Federal's papers, I think it was Hamilton he's 453 00:22:20,480 --> 00:22:24,040 Speaker 5: writing about, because you know, there was opposition of the constitution. 454 00:22:24,240 --> 00:22:27,880 Speaker 5: They were making a more powerful federal government than under 455 00:22:27,880 --> 00:22:31,360 Speaker 5: the Articles of Confederation, and people worried about taxation, and 456 00:22:31,560 --> 00:22:34,280 Speaker 5: they didn't have obviously a sixteenth Amendment which eventually came 457 00:22:34,320 --> 00:22:37,680 Speaker 5: on income tax, but basically you were not effectively allowed 458 00:22:37,680 --> 00:22:40,760 Speaker 5: to do any direct taxation. It had to be indirect, 459 00:22:40,840 --> 00:22:44,239 Speaker 5: meaning you couldn't just I mean, you could theoretically just 460 00:22:44,280 --> 00:22:46,720 Speaker 5: apply like a tax on land federally, but it had 461 00:22:46,800 --> 00:22:49,080 Speaker 5: to be a portion among the states, so practically it 462 00:22:49,119 --> 00:22:53,960 Speaker 5: could never work. So basically Hamilton saying, look, the indirect 463 00:22:53,960 --> 00:22:57,160 Speaker 5: taxes are the most effective efficient way to raise revenue 464 00:22:57,200 --> 00:23:01,080 Speaker 5: for the government because they basically allow the individual to 465 00:23:01,240 --> 00:23:04,080 Speaker 5: choose how much tax they want to pay based on 466 00:23:04,119 --> 00:23:08,400 Speaker 5: how much they're consuming. And there's a security. There's a 467 00:23:08,480 --> 00:23:12,119 Speaker 5: protection against excessive tax in that regard because if the 468 00:23:12,160 --> 00:23:15,719 Speaker 5: government raises consumption tax too much, it kills the golden 469 00:23:15,760 --> 00:23:19,719 Speaker 5: goose because then it causes people to stop stop. 470 00:23:19,200 --> 00:23:20,160 Speaker 3: Purchasing as much. 471 00:23:20,320 --> 00:23:23,800 Speaker 5: But he said taxing property is one of the worst 472 00:23:23,880 --> 00:23:25,960 Speaker 5: forms of taxation because people don't have. 473 00:23:25,920 --> 00:23:26,960 Speaker 3: A choice in the matter. 474 00:23:27,119 --> 00:23:29,920 Speaker 5: That's right, and you're just basically drilling these folks over 475 00:23:29,920 --> 00:23:31,160 Speaker 5: and over again on. 476 00:23:31,160 --> 00:23:34,280 Speaker 1: Tax So a lot of people are hailing Ronda Santas 477 00:23:34,320 --> 00:23:37,680 Speaker 1: in his effort. However, we the people, we've been screaming 478 00:23:37,720 --> 00:23:42,800 Speaker 1: about this for years. Ronda Santas articulated it well, but 479 00:23:43,000 --> 00:23:46,680 Speaker 1: he's just parroting things that we as taxpayers have been 480 00:23:46,760 --> 00:23:47,679 Speaker 1: saying all along. 481 00:23:47,760 --> 00:23:47,960 Speaker 3: Yeah. 482 00:23:47,960 --> 00:23:50,320 Speaker 2: I think the big difference here, though, is it's the 483 00:23:50,359 --> 00:23:53,440 Speaker 2: governor of the state that's coming out and talking about 484 00:23:53,480 --> 00:23:57,480 Speaker 2: property taxes at their core and saying, look, this is 485 00:23:57,520 --> 00:24:01,000 Speaker 2: an unfair tax at its and I get that we're 486 00:24:01,040 --> 00:24:03,800 Speaker 2: going to have to rearrange things and allow local districts 487 00:24:03,800 --> 00:24:05,679 Speaker 2: and schools to be able to generate revenue, but the 488 00:24:05,760 --> 00:24:10,520 Speaker 2: problem is taxing something that you own. And we didn't 489 00:24:10,520 --> 00:24:13,600 Speaker 2: have one politician that I recall during last year's big 490 00:24:13,600 --> 00:24:17,280 Speaker 2: property tax discussion here that brought up that argument. At 491 00:24:17,320 --> 00:24:20,199 Speaker 2: its core, property taxes seem more like that, they just 492 00:24:20,320 --> 00:24:23,080 Speaker 2: seem flat out unfair if you talk to the average 493 00:24:23,119 --> 00:24:26,959 Speaker 2: American about it. The concept of taxing somebody for owning 494 00:24:27,040 --> 00:24:30,560 Speaker 2: something just seems flat out unfair. And I would have 495 00:24:30,560 --> 00:24:32,480 Speaker 2: loved if we would have had a politician that had made 496 00:24:32,560 --> 00:24:35,280 Speaker 2: that argument here when we were going through the property 497 00:24:35,280 --> 00:24:36,600 Speaker 2: tax discussion last year. 498 00:24:36,800 --> 00:24:39,040 Speaker 3: And it's similar to the wealth tax, and this has. 499 00:24:38,920 --> 00:24:41,879 Speaker 2: Been talked about a lot, especially in California, and California 500 00:24:41,960 --> 00:24:44,320 Speaker 2: is getting pretty close to instituting this where it is 501 00:24:44,440 --> 00:24:47,679 Speaker 2: essentially a one time tax on your entire wealth and 502 00:24:47,720 --> 00:24:50,879 Speaker 2: it's aimed at, you know, high net worth individuals. But 503 00:24:50,920 --> 00:24:53,880 Speaker 2: it just, again there's not a lot of support from 504 00:24:53,960 --> 00:24:56,560 Speaker 2: it from average everyday voters because it just at its 505 00:24:56,680 --> 00:25:00,879 Speaker 2: core seems unfair. Even if the vast majority of voters 506 00:25:00,880 --> 00:25:03,240 Speaker 2: in California are never going to see this tax, because 507 00:25:03,280 --> 00:25:05,160 Speaker 2: you've got to have like a net worth of ten 508 00:25:05,200 --> 00:25:07,760 Speaker 2: million dollars or more before they even starts to consider it. 509 00:25:07,760 --> 00:25:11,480 Speaker 2: It's just that inherent feeling that it seems unfair. 510 00:25:11,600 --> 00:25:14,160 Speaker 1: I like the history lesson from Rondo Sant's there. He's 511 00:25:14,200 --> 00:25:17,280 Speaker 1: talking about Hamilton and the Federalist papers. But he did 512 00:25:17,359 --> 00:25:19,560 Speaker 1: use an example that we can all relate to. If 513 00:25:19,600 --> 00:25:21,800 Speaker 1: you go and buy a TV, you don't continue to 514 00:25:21,800 --> 00:25:24,960 Speaker 1: pay sales tax on that TV forever and ever and 515 00:25:25,000 --> 00:25:27,679 Speaker 1: ever in perpetuity like you do on your home. And 516 00:25:27,720 --> 00:25:31,119 Speaker 1: I think his message is really hitting home with homeowners 517 00:25:31,160 --> 00:25:33,840 Speaker 1: because they're just getting crushed by these endless hikes. And 518 00:25:34,000 --> 00:25:37,960 Speaker 1: it is a Trump ally, so maybe that message will 519 00:25:37,960 --> 00:25:42,520 Speaker 1: go even higher in the government calling out the rent 520 00:25:42,640 --> 00:25:46,640 Speaker 1: from government racket that they've been, you know, hitting us 521 00:25:46,680 --> 00:25:48,720 Speaker 1: with year after year after year. 522 00:25:48,800 --> 00:25:50,680 Speaker 2: Well, and it goes back to the fact that most 523 00:25:50,720 --> 00:25:55,040 Speaker 2: of these politicians just view US taxpayers as revenue as income. 524 00:25:55,080 --> 00:25:58,200 Speaker 2: How can we serve, how can we get more of 525 00:25:58,400 --> 00:26:01,120 Speaker 2: their hard earned money and bring it toward the state, 526 00:26:01,119 --> 00:26:02,160 Speaker 2: And it kind of reminds me. 527 00:26:02,119 --> 00:26:03,440 Speaker 1: About personal bank. 528 00:26:03,560 --> 00:26:05,720 Speaker 2: Well, when we were talking about the gas tax, remember 529 00:26:05,840 --> 00:26:08,199 Speaker 2: the gas tax was it was a big problem here 530 00:26:08,200 --> 00:26:10,879 Speaker 2: in the state of Indiana. It's obviously obviously an issue 531 00:26:10,880 --> 00:26:12,639 Speaker 2: around a lot of states around the country. But then 532 00:26:12,640 --> 00:26:15,359 Speaker 2: all of a sudden, electric vehicles started coming around, and 533 00:26:15,400 --> 00:26:17,719 Speaker 2: then you had all these vehicles on the road that 534 00:26:17,800 --> 00:26:21,320 Speaker 2: weren't paying the gas tax because they were electric vehicles. 535 00:26:21,320 --> 00:26:22,840 Speaker 3: And then so what did states start doing. 536 00:26:23,040 --> 00:26:27,440 Speaker 2: They started adding surcharges during the registration process to electric vehicles. 537 00:26:27,440 --> 00:26:31,040 Speaker 2: So again it seems like everybody, as American citizens, we're 538 00:26:31,040 --> 00:26:33,440 Speaker 2: trying to pay as little tax as possible and change 539 00:26:33,440 --> 00:26:35,720 Speaker 2: our lifestyle and do things so that we pay less tax. 540 00:26:35,760 --> 00:26:38,400 Speaker 2: And when we do those sorts of things, the politicians 541 00:26:38,440 --> 00:26:40,440 Speaker 2: just come at us with new services and new fees 542 00:26:40,480 --> 00:26:43,000 Speaker 2: and new taxes, because that's how they view us as 543 00:26:43,040 --> 00:26:44,080 Speaker 2: just revenue generating. 544 00:26:44,119 --> 00:26:46,119 Speaker 1: Now there's something new, Okay, well we got to replace 545 00:26:46,160 --> 00:26:49,280 Speaker 1: it with something else, so they'll just create. Imagine some 546 00:26:49,400 --> 00:26:53,320 Speaker 1: new tax. There's going to be your oxygen tax soon. 547 00:26:53,640 --> 00:26:57,359 Speaker 3: Came on, and that's what they did exactly with electric vehicles. 548 00:26:57,400 --> 00:26:59,720 Speaker 2: Electric vehicles didn't pay the gas tax, so now they 549 00:26:59,760 --> 00:27:00,920 Speaker 2: start attacking on. 550 00:27:00,960 --> 00:27:05,000 Speaker 1: Additional registration institute toll roads. That'll be the next thing. 551 00:27:05,080 --> 00:27:08,280 Speaker 2: Well, and that's probably coming here for I seventy in Indianapolis. 552 00:27:08,800 --> 00:27:12,000 Speaker 1: Let's talk about the Super Bowl. What's going on with 553 00:27:12,080 --> 00:27:15,439 Speaker 1: these two teams. There's this substation theory. 554 00:27:15,960 --> 00:27:19,520 Speaker 2: Okay, so the Super Bowl is being played in San Francisco. Yeah, 555 00:27:19,880 --> 00:27:23,119 Speaker 2: and you've got Seattle and the New England Patriots playing. 556 00:27:23,160 --> 00:27:26,359 Speaker 2: So for the last several months on social media, there's 557 00:27:26,400 --> 00:27:31,480 Speaker 2: been this conspiracy theory that right next to the practice 558 00:27:31,480 --> 00:27:34,000 Speaker 2: facility that the San Francisco forty nine ers use is. 559 00:27:33,960 --> 00:27:37,800 Speaker 3: This electrical substation. San Francisco forty. 560 00:27:37,600 --> 00:27:41,880 Speaker 2: Nine ers have had an inordinate amount of injuries on 561 00:27:41,960 --> 00:27:44,760 Speaker 2: their team this year, so there's in this conspiracy theory 562 00:27:44,800 --> 00:27:48,800 Speaker 2: that has, you know, positive the idea that because they're 563 00:27:48,840 --> 00:27:53,440 Speaker 2: practicing next to this electrical substation, they're getting hurt. It's 564 00:27:53,480 --> 00:27:56,760 Speaker 2: those electrical fields that are weakening the tendons and the 565 00:27:56,800 --> 00:27:59,840 Speaker 2: ligaments and the joints in these players' bodies and create 566 00:27:59,880 --> 00:28:02,359 Speaker 2: a significant increase in injuries. 567 00:28:02,520 --> 00:28:05,120 Speaker 3: But this conspiracy theory has gotten to the point. 568 00:28:04,880 --> 00:28:07,600 Speaker 2: To where the two teams come into town, they don't 569 00:28:07,600 --> 00:28:09,960 Speaker 2: want to they don't want to practice at that facility, 570 00:28:09,960 --> 00:28:10,960 Speaker 2: so they're get it's serious. 571 00:28:10,960 --> 00:28:12,399 Speaker 3: They're looking for other locations. 572 00:28:12,440 --> 00:28:14,440 Speaker 1: Superstitious, right, not. 573 00:28:14,480 --> 00:28:17,800 Speaker 3: Just a little stitious. I'm not superstitious, but I am 574 00:28:17,840 --> 00:28:18,760 Speaker 3: a little stitsius. 575 00:28:18,440 --> 00:28:28,560 Speaker 1: Little stitious. It is ninety three WIBC. According to some 576 00:28:28,640 --> 00:28:31,600 Speaker 1: new research, the obesity rate in the United States will 577 00:28:31,640 --> 00:28:34,840 Speaker 1: see that nearly half of adults will be overweight by 578 00:28:34,840 --> 00:28:38,800 Speaker 1: the year twenty thirty five. Currently it's a forty two percent, 579 00:28:38,880 --> 00:28:41,280 Speaker 1: and they're saying by twenty thirty five it's going to 580 00:28:41,320 --> 00:28:45,880 Speaker 1: be well over fifty percent. And the causes of obesity 581 00:28:46,160 --> 00:28:50,480 Speaker 1: are rising, mostly attributed to poor diet and increased process 582 00:28:50,600 --> 00:28:54,400 Speaker 1: food consumption. I thought that's what part of the Baja 583 00:28:54,440 --> 00:28:57,440 Speaker 1: movement was about, was turning back the clock on some 584 00:28:57,600 --> 00:28:59,640 Speaker 1: of this processed food that we're eating. 585 00:29:00,040 --> 00:29:01,960 Speaker 2: I'm gonna sit here and say and make a prediction 586 00:29:02,160 --> 00:29:04,640 Speaker 2: that that will not come true. We will not hit 587 00:29:04,640 --> 00:29:07,240 Speaker 2: a fifty percent obcity rate by twenty thirty five. It's 588 00:29:07,280 --> 00:29:09,720 Speaker 2: not because of the Maha movement. It's not because people 589 00:29:09,720 --> 00:29:12,760 Speaker 2: will be eating better or exercising more, but it will 590 00:29:12,800 --> 00:29:15,800 Speaker 2: be because of GLP ones. 591 00:29:16,040 --> 00:29:17,440 Speaker 3: Just like will go v and all. 592 00:29:17,360 --> 00:29:19,400 Speaker 2: The rest of them out there and We talked about 593 00:29:19,400 --> 00:29:21,680 Speaker 2: this the other day as well, that there's a real 594 00:29:21,680 --> 00:29:23,719 Speaker 2: push and the government is pushing this too. Trump has 595 00:29:23,760 --> 00:29:28,000 Speaker 2: mentioned it about subsidizing, potentially subsidizing and make it easier 596 00:29:28,040 --> 00:29:32,360 Speaker 2: for people to access GLP ones. Based on the information 597 00:29:32,440 --> 00:29:35,880 Speaker 2: we have now available to us, it seems like that's 598 00:29:35,880 --> 00:29:38,680 Speaker 2: a good strategy. It seems like people that are overweight 599 00:29:39,000 --> 00:29:41,760 Speaker 2: should be on GLP ones. It seems like that they're 600 00:29:41,800 --> 00:29:47,600 Speaker 2: extremely effective. I do have some concerns about the long 601 00:29:47,720 --> 00:29:51,120 Speaker 2: term health effects of GLP ones and what they might be. 602 00:29:51,240 --> 00:29:53,920 Speaker 2: There was a there was a drug. It was in 603 00:29:54,000 --> 00:29:55,920 Speaker 2: the it was in the nineties that was a weight 604 00:29:55,960 --> 00:29:58,000 Speaker 2: loss drug. It was called fen Fen. I don't know 605 00:29:58,040 --> 00:29:59,640 Speaker 2: if you remember this, but this was a big deal 606 00:29:59,680 --> 00:30:02,560 Speaker 2: in the night and people were losing tons of weight 607 00:30:02,600 --> 00:30:04,880 Speaker 2: on this and tons of people were taking it. And 608 00:30:04,920 --> 00:30:06,960 Speaker 2: then after all these people were taking it for years, 609 00:30:07,000 --> 00:30:10,000 Speaker 2: they found out it caused severe heart valve problems. Oh 610 00:30:10,040 --> 00:30:12,720 Speaker 2: and it was removed from the market, and the people 611 00:30:12,760 --> 00:30:14,360 Speaker 2: that were taking it were in a way kind of 612 00:30:14,360 --> 00:30:16,440 Speaker 2: bummed out because it was so successful with them for 613 00:30:16,480 --> 00:30:17,880 Speaker 2: them and they were able to lose so much weight 614 00:30:17,920 --> 00:30:18,440 Speaker 2: because of it. 615 00:30:18,680 --> 00:30:20,320 Speaker 3: I just in the back of my mind. 616 00:30:20,360 --> 00:30:22,920 Speaker 2: I've just got this little concern and that news story 617 00:30:22,960 --> 00:30:25,160 Speaker 2: from thirty years ago keeps triggering that in the back 618 00:30:25,200 --> 00:30:28,320 Speaker 2: of my mind. Every time the GLP ones keep getting 619 00:30:28,320 --> 00:30:31,040 Speaker 2: pushed on the American public that I just hope for 620 00:30:31,120 --> 00:30:35,200 Speaker 2: everybody's health sake that there aren't any long term consequences 621 00:30:35,200 --> 00:30:37,200 Speaker 2: that were not quite aware of. But for right now, 622 00:30:37,520 --> 00:30:40,400 Speaker 2: I mean the GOV and the rest of them. 623 00:30:40,800 --> 00:30:44,280 Speaker 1: You got a xampic, you got WGOV Manjeiro zep bound. 624 00:30:44,840 --> 00:30:47,040 Speaker 2: They look like a magic bullet, you know all the 625 00:30:47,080 --> 00:30:48,880 Speaker 2: names of those. Have you been doing some research on this? 626 00:30:49,920 --> 00:30:52,640 Speaker 3: No, not at all, not at all. I have What 627 00:30:52,680 --> 00:30:55,480 Speaker 3: are you saying I have? No, I've looked at it. 628 00:30:55,520 --> 00:30:58,160 Speaker 2: Look I'm I'm you know, and you can believe the 629 00:30:58,200 --> 00:31:01,600 Speaker 2: BMI index or not believe it. But according to the 630 00:31:01,760 --> 00:31:05,840 Speaker 2: you know, the BMI index, I'm overweight, and I've looked 631 00:31:05,840 --> 00:31:06,560 Speaker 2: into the GLP. 632 00:31:06,640 --> 00:31:08,480 Speaker 1: According to my weight, I'm six feet tall. 633 00:31:08,680 --> 00:31:11,280 Speaker 2: Yeah for you, Yeah, according to my weight, I'm six 634 00:31:11,320 --> 00:31:15,400 Speaker 2: foot eight, and I'm not I'm six two. But I 635 00:31:15,440 --> 00:31:17,560 Speaker 2: don't think that America is gonna get to that fifty 636 00:31:17,600 --> 00:31:20,120 Speaker 2: percent obesity rate just because I think that you're going 637 00:31:20,160 --> 00:31:24,040 Speaker 2: to see a continued significant adoption of GLP ones. It's 638 00:31:24,400 --> 00:31:27,120 Speaker 2: become easier than ever to get them. I don't even 639 00:31:27,160 --> 00:31:28,800 Speaker 2: need to go make an appointment and go to my 640 00:31:28,880 --> 00:31:30,960 Speaker 2: doctor's office. I can do it all online with a 641 00:31:31,000 --> 00:31:34,959 Speaker 2: virtual doctor. The price has gone down dramatically, even if 642 00:31:35,000 --> 00:31:38,080 Speaker 2: insurance doesn't cover it. The cash price in some instance 643 00:31:38,120 --> 00:31:40,240 Speaker 2: has come down to around about one hundred bucks a month, 644 00:31:40,440 --> 00:31:43,600 Speaker 2: which becomes much more affordable than what they were priced 645 00:31:43,600 --> 00:31:47,840 Speaker 2: at three or four years ago. It's we're gonna keep 646 00:31:47,840 --> 00:31:50,320 Speaker 2: hearing more and more about GLP ones. More and more 647 00:31:50,360 --> 00:31:52,840 Speaker 2: people are gonna keep taking them, and I hope they 648 00:31:52,840 --> 00:31:54,240 Speaker 2: don't have long term side effects. 649 00:31:54,320 --> 00:31:54,520 Speaker 3: Well. 650 00:31:54,520 --> 00:31:56,760 Speaker 1: One of the reasons that people are seeing a rise 651 00:31:56,880 --> 00:32:00,200 Speaker 1: in obesity who aren't on the GLP ones is is 652 00:32:00,200 --> 00:32:04,720 Speaker 1: because they lead sedentary lifestyles and much more screen time. 653 00:32:04,880 --> 00:32:10,200 Speaker 1: So now they're blaming your phone and social media because 654 00:32:10,320 --> 00:32:13,560 Speaker 1: I just saw a study that said gen Z and 655 00:32:13,640 --> 00:32:16,360 Speaker 1: younger spend on average five and a half hours a 656 00:32:16,440 --> 00:32:19,840 Speaker 1: day online. Ah, those are scrolling through social Those are 657 00:32:19,920 --> 00:32:20,680 Speaker 1: rookie numbers. 658 00:32:20,720 --> 00:32:22,320 Speaker 2: Man, they can do better than that. We got to 659 00:32:22,360 --> 00:32:23,400 Speaker 2: pump those numbers up. 660 00:32:23,440 --> 00:32:26,040 Speaker 1: Come on, people, Oh, I can't even I can't like 661 00:32:26,080 --> 00:32:28,400 Speaker 1: I don't even have that much time. Well, I mean 662 00:32:28,520 --> 00:32:30,840 Speaker 1: I do spend a lot of time online, but it's 663 00:32:31,040 --> 00:32:36,480 Speaker 1: researching for this program. However, that's not just mindless scrolling 664 00:32:36,520 --> 00:32:37,480 Speaker 1: through social media. 665 00:32:37,640 --> 00:32:39,040 Speaker 3: I think a lot five and a half hours. 666 00:32:39,040 --> 00:32:41,360 Speaker 2: But a lot of people just spend a lot of 667 00:32:41,400 --> 00:32:44,440 Speaker 2: time on their phones and their devices, and it's productive. 668 00:32:44,920 --> 00:32:46,360 Speaker 3: I mean, there's a lot of junk out there. 669 00:32:46,440 --> 00:32:48,720 Speaker 2: Sure, there's a lot of scrolling, But like you just said, 670 00:32:49,520 --> 00:32:51,560 Speaker 2: you had the story that gen Z spends over five 671 00:32:51,600 --> 00:32:53,920 Speaker 2: hours a day on their phones. Guess who's probably using 672 00:32:53,920 --> 00:32:57,360 Speaker 2: their phones for work more than any other generation. It's 673 00:32:57,360 --> 00:32:59,320 Speaker 2: probably gen Z. So a good chunk of that time 674 00:32:59,360 --> 00:33:00,600 Speaker 2: is going to be set up there for work. 675 00:33:00,640 --> 00:33:02,840 Speaker 3: You just said, I'm working, But you. 676 00:33:02,760 --> 00:33:05,280 Speaker 2: Just said you use devices in your phone a lot 677 00:33:05,320 --> 00:33:07,680 Speaker 2: for getting ready for the show. I run a small business. 678 00:33:07,880 --> 00:33:10,360 Speaker 2: I run my entire small business for my phone. I've 679 00:33:10,360 --> 00:33:12,000 Speaker 2: got a laptop. I hardly ever use it. 680 00:33:12,080 --> 00:33:14,920 Speaker 1: But you're not scrolling on social media the whole time? No, 681 00:33:15,560 --> 00:33:16,240 Speaker 1: or are you? 682 00:33:16,280 --> 00:33:16,360 Speaker 4: No? 683 00:33:16,440 --> 00:33:18,640 Speaker 2: But posting on social media for my business is a 684 00:33:18,640 --> 00:33:20,600 Speaker 2: big part of what I do, and creating content for 685 00:33:20,680 --> 00:33:22,120 Speaker 2: my business is a big part of what I do. 686 00:33:22,160 --> 00:33:25,080 Speaker 2: So I run my entire business from my phone, all 687 00:33:25,120 --> 00:33:28,200 Speaker 2: of the financial aspects of it, all of my customer interaction, 688 00:33:28,560 --> 00:33:31,800 Speaker 2: it all happens through my phone. Sure, I spend a 689 00:33:31,800 --> 00:33:34,240 Speaker 2: certain amount of time screwing around on TikTok and looking 690 00:33:34,280 --> 00:33:36,960 Speaker 2: up sports scores and seeing the debate as if Kurt 691 00:33:36,960 --> 00:33:40,040 Speaker 2: Signetti the greatest college football coach of all time. I 692 00:33:40,120 --> 00:33:42,200 Speaker 2: might have gotten into an argument or two on Twitter 693 00:33:42,240 --> 00:33:44,920 Speaker 2: about that, Sure, but the vast majority of the time 694 00:33:45,000 --> 00:33:48,600 Speaker 2: I spend on my phone is actually productive in some manner. 695 00:33:48,760 --> 00:33:50,880 Speaker 1: How do you feel about your child swearing? 696 00:33:51,440 --> 00:33:52,600 Speaker 3: Oh boy? 697 00:33:52,880 --> 00:33:56,360 Speaker 1: Forty percent of parents say swearing is never okay, thirty 698 00:33:56,360 --> 00:33:59,680 Speaker 1: five percent say it depends on the situation, twelve percent 699 00:33:59,760 --> 00:34:04,080 Speaker 1: said it depends on the word, and six percent say eh, 700 00:34:04,120 --> 00:34:06,800 Speaker 1: no problem with profanity, cut loose. 701 00:34:07,440 --> 00:34:07,680 Speaker 3: Yeah. 702 00:34:07,840 --> 00:34:10,480 Speaker 2: I remember specifically having this conversation with you when our 703 00:34:10,560 --> 00:34:12,600 Speaker 2: daughter was about two or three years old, and I 704 00:34:12,640 --> 00:34:15,440 Speaker 2: said to you at that I said, some you know, 705 00:34:16,040 --> 00:34:18,960 Speaker 2: off color language and a conversation in front of her. 706 00:34:19,000 --> 00:34:20,520 Speaker 2: And I turned to you and I said, hey, when 707 00:34:20,560 --> 00:34:23,239 Speaker 2: do I have to stop swearing in front Because she 708 00:34:23,280 --> 00:34:25,800 Speaker 2: can speak now and now she's going to be checking 709 00:34:25,920 --> 00:34:28,320 Speaker 2: up on these words. When do I have to stop 710 00:34:28,320 --> 00:34:30,440 Speaker 2: swearing in front of her, and I believe your response 711 00:34:30,600 --> 00:34:31,160 Speaker 2: was right. 712 00:34:31,200 --> 00:34:32,920 Speaker 3: Now, how about now? How about now? 713 00:34:33,000 --> 00:34:36,440 Speaker 1: How about now? According to the study, where do kids 714 00:34:36,560 --> 00:34:39,080 Speaker 1: learn curse words from? Most of the time, it's from 715 00:34:39,120 --> 00:34:41,600 Speaker 1: their friends and their classmates at sixty five percent. 716 00:34:41,800 --> 00:34:45,480 Speaker 2: But as a culture, swearing has certainly become much more acceptable, 717 00:34:45,600 --> 00:34:48,200 Speaker 2: especially over the long term the last fifty or sixty years, 718 00:34:48,200 --> 00:34:52,040 Speaker 2: swearing has become much more acceptable. Is it even really 719 00:34:52,880 --> 00:34:55,280 Speaker 2: all that taboo anymore for kids to swear? 720 00:34:55,400 --> 00:34:57,640 Speaker 1: Don't they say that people who swear are more intelligent? 721 00:34:57,920 --> 00:34:59,640 Speaker 3: They do. I've seen research on that. 722 00:35:00,160 --> 00:35:02,919 Speaker 2: I'm sure I can find if I google long enough, 723 00:35:03,000 --> 00:35:07,120 Speaker 2: I can find research that counters that. But I'm the 724 00:35:07,200 --> 00:35:09,799 Speaker 2: last person to be speaking on this subject. I've had 725 00:35:09,800 --> 00:35:12,319 Speaker 2: a mouth like a sailor. 726 00:35:12,080 --> 00:35:12,920 Speaker 3: My entire life. 727 00:35:13,880 --> 00:35:17,520 Speaker 1: No, no, no, honey, that's fork, fork, spoon, and knife, 728 00:35:18,719 --> 00:35:26,160 Speaker 1: plate glass. Yeah. So kids also learned squearwards from the media, TV, movies, music, 729 00:35:26,719 --> 00:35:29,400 Speaker 1: parents themselves. Like we're talking about. 730 00:35:29,239 --> 00:35:31,080 Speaker 3: Well, and it reminds me, mom and dad. 731 00:35:31,120 --> 00:35:33,480 Speaker 2: It reminds me of the Christmas Story when little Ralfie's 732 00:35:33,680 --> 00:35:36,960 Speaker 2: helping his dad change the tires. He says fudge, and 733 00:35:37,000 --> 00:35:42,640 Speaker 2: of course his mom interrogates him with this exactly, and 734 00:35:42,680 --> 00:35:43,640 Speaker 2: he just screams. 735 00:35:43,280 --> 00:35:44,200 Speaker 3: Out his buddy's name. 736 00:35:44,160 --> 00:35:47,799 Speaker 2: Schwartz, and he and the mom goes to call Schwartz's mom, Hey, well, 737 00:35:47,800 --> 00:35:49,720 Speaker 2: do you know where he heard it? And Schwartz's mom's 738 00:35:49,719 --> 00:35:51,600 Speaker 2: response was, well, he probably heard it from his father, 739 00:35:52,320 --> 00:35:55,279 Speaker 2: which was the truth. But then his mom says, no, 740 00:35:55,360 --> 00:35:56,839 Speaker 2: he heard it from your son, and then you can 741 00:35:56,880 --> 00:35:59,440 Speaker 2: hear poor little Schwartz getting the beating of a lifetime 742 00:35:59,440 --> 00:36:00,000 Speaker 2: in the background. 743 00:36:01,239 --> 00:36:03,360 Speaker 1: I don't know. I think that there are some things 744 00:36:03,400 --> 00:36:06,359 Speaker 1: that the kids should not be saying until they're at 745 00:36:06,400 --> 00:36:07,160 Speaker 1: a certain age. 746 00:36:07,200 --> 00:36:08,799 Speaker 3: And what age is that though, I don't know. 747 00:36:09,160 --> 00:36:13,360 Speaker 1: I don't know. It depends. That's for each family to decide, 748 00:36:13,440 --> 00:36:14,040 Speaker 1: each parent. 749 00:36:14,160 --> 00:36:16,560 Speaker 2: Right, we were talking about wasting time on social media. 750 00:36:16,600 --> 00:36:19,200 Speaker 2: There is kind of a trend on TikTok and other 751 00:36:19,239 --> 00:36:22,240 Speaker 2: social media platforms about posting videos. 752 00:36:21,800 --> 00:36:23,280 Speaker 3: Of your little kids swearing. 753 00:36:23,719 --> 00:36:26,239 Speaker 2: And yeah, I've wasted a lot of time watching those 754 00:36:26,320 --> 00:36:28,800 Speaker 2: videos because a five year old dropping the F bomb 755 00:36:29,320 --> 00:36:32,480 Speaker 2: is hilarious. 756 00:36:33,000 --> 00:36:35,040 Speaker 1: It's not they don't know what they're saying. 757 00:36:35,160 --> 00:36:37,000 Speaker 2: When it's not my five year old, it's funny. Yeah, 758 00:36:37,000 --> 00:36:38,800 Speaker 2: when it's somebody else's five year old hilarious. 759 00:36:38,880 --> 00:36:41,440 Speaker 1: Okay, it's going to continue to be cold here in 760 00:36:41,520 --> 00:36:46,680 Speaker 1: central Indiana. We've got the high for tomorrow. Wow, it 761 00:36:46,760 --> 00:36:50,120 Speaker 1: is it's just here. It's just not going to warm up. 762 00:36:50,239 --> 00:36:53,719 Speaker 3: Yeah, breaking news. It's winter in Indiana. 763 00:36:53,840 --> 00:36:58,680 Speaker 1: Temperatures may rise above freezing Wednesday, so you've got a 764 00:36:58,680 --> 00:36:59,879 Speaker 1: few more days to get through. 765 00:37:00,320 --> 00:37:03,920 Speaker 2: I just I it does get, you know, drain on you, 766 00:37:03,960 --> 00:37:06,880 Speaker 2: and it does get frustrating when the roads are constantly 767 00:37:07,000 --> 00:37:09,280 Speaker 2: slick and ice and snow covers. 768 00:37:09,520 --> 00:37:11,040 Speaker 1: Sunshine today though, that's nice. 769 00:37:11,040 --> 00:37:12,160 Speaker 2: So if we can get a little bit of sun 770 00:37:12,200 --> 00:37:13,600 Speaker 2: we can get a little bit of raising the temperatures 771 00:37:13,600 --> 00:37:14,520 Speaker 2: to where the roads. 772 00:37:14,239 --> 00:37:16,160 Speaker 3: Can be clean, then I can manage the rest of winter. 773 00:37:16,320 --> 00:37:19,480 Speaker 1: Just fly all right. Thank you, Jim, thank you Kevin, mostly, 774 00:37:19,600 --> 00:37:24,440 Speaker 1: thank you for listening today. This is ninety three WIBC.