1 00:00:00,400 --> 00:00:02,800 Speaker 1: So are you telling me that Elon Musk is the 2 00:00:02,840 --> 00:00:06,440 Speaker 1: most disliked public figure in America according to a poll. 3 00:00:06,680 --> 00:00:09,840 Speaker 2: I'm not telling you that. That's what the Gallup poll conducted. 4 00:00:10,000 --> 00:00:13,680 Speaker 2: They said that those were they're finding sixty one percent 5 00:00:13,720 --> 00:00:17,040 Speaker 2: of Americans have an unfavorable opinion of Elon Musk. 6 00:00:17,400 --> 00:00:19,119 Speaker 3: Okay, So Gallup did a poll. 7 00:00:19,160 --> 00:00:22,760 Speaker 1: They didn't ask like, do you dislike Elon Musk more 8 00:00:22,760 --> 00:00:24,840 Speaker 1: than any of their public figure in America? But by 9 00:00:25,040 --> 00:00:29,680 Speaker 1: score the most amount of negative negatives, he would win in. 10 00:00:29,600 --> 00:00:33,440 Speaker 2: That correct in that category, yeah, okay, only thirty three 11 00:00:33,520 --> 00:00:36,760 Speaker 2: percent view him positively? Is six percent had no opinion? 12 00:00:36,800 --> 00:00:37,920 Speaker 2: How can you have no opinion? 13 00:00:38,360 --> 00:00:38,800 Speaker 3: I don't know. 14 00:00:39,200 --> 00:00:42,319 Speaker 1: Well, all right, so how does Elon Musk really? I mean, 15 00:00:42,320 --> 00:00:45,239 Speaker 1: if we look at this, and our audience will look 16 00:00:45,280 --> 00:00:47,760 Speaker 1: at this because they're into the news. They follow what's 17 00:00:47,800 --> 00:00:51,000 Speaker 1: going on with politics, with their government in society, so 18 00:00:51,080 --> 00:00:53,159 Speaker 1: of course you're going to know who he is. But 19 00:00:54,280 --> 00:00:58,880 Speaker 1: how does Elon Musk directly? Now, obviously the government contracts 20 00:00:58,880 --> 00:01:02,360 Speaker 1: the things he's doing, the technical it will potentially eventually 21 00:01:02,840 --> 00:01:05,240 Speaker 1: impact you in some shape, form or fashion, But in 22 00:01:05,360 --> 00:01:09,520 Speaker 1: terms of your day to day existence, what does Elon 23 00:01:09,680 --> 00:01:13,040 Speaker 1: Musk really do that you would say that, you would, 24 00:01:13,120 --> 00:01:14,959 Speaker 1: You would need a reason if you don't follow the 25 00:01:15,000 --> 00:01:17,199 Speaker 1: news to think about him on it, right, You're right. 26 00:01:17,080 --> 00:01:20,200 Speaker 2: Probably not. I mean, what does Musk do for you? Well, 27 00:01:20,240 --> 00:01:22,880 Speaker 2: not much now, especially since he's no longer with the 28 00:01:23,000 --> 00:01:27,000 Speaker 2: Department of Government Efficiency. Right when he was working with DOGE, 29 00:01:27,080 --> 00:01:31,400 Speaker 2: that short lived involvement in the Trump administration, you could say, hey, 30 00:01:31,440 --> 00:01:33,959 Speaker 2: you know what, he's saving me money on some level. 31 00:01:34,280 --> 00:01:36,000 Speaker 1: Right, But again, then you got to follow the news, 32 00:01:36,040 --> 00:01:38,280 Speaker 1: and you got to follow government, you got to follow politics. 33 00:01:38,480 --> 00:01:40,280 Speaker 1: And you know, you always get those polls about people 34 00:01:40,360 --> 00:01:44,200 Speaker 1: can't identify their you know, governors or senators or whatever. 35 00:01:44,800 --> 00:01:47,560 Speaker 1: And a lot of people, even people who know who 36 00:01:47,560 --> 00:01:51,240 Speaker 1: he is, he's just some rich, eccentric guy who builds 37 00:01:51,920 --> 00:01:55,080 Speaker 1: cars and rockets, right. I just I do find it 38 00:01:55,160 --> 00:01:59,280 Speaker 1: interesting that he is He had the highest negativity score 39 00:02:00,200 --> 00:02:04,280 Speaker 1: because I just don't like, what has he really done 40 00:02:04,280 --> 00:02:07,320 Speaker 1: that You would say, oh, that's part of it, too, 41 00:02:07,560 --> 00:02:10,959 Speaker 1: is and I blame this on the public education system. Well, 42 00:02:10,960 --> 00:02:13,519 Speaker 1: the education system is a collective. People have no idea 43 00:02:13,639 --> 00:02:16,640 Speaker 1: how society actually works. Like everybody will go to the 44 00:02:16,639 --> 00:02:19,840 Speaker 1: grocery store and go this is abhorrent how much food costs, 45 00:02:20,160 --> 00:02:23,600 Speaker 1: but they have no idea why food costs that much. Well, 46 00:02:23,639 --> 00:02:27,080 Speaker 1: the answer one of multiple answers, but a major player 47 00:02:27,080 --> 00:02:29,399 Speaker 1: in it is the government has printed so much money 48 00:02:29,440 --> 00:02:34,200 Speaker 1: because of bad government that dollars are worthless. Well, the 49 00:02:34,240 --> 00:02:36,520 Speaker 1: obvious answer to that would be get rid of the 50 00:02:36,560 --> 00:02:40,120 Speaker 1: bad government, which would make things potentially costless if you're 51 00:02:40,120 --> 00:02:42,720 Speaker 1: not printing as much money, which should make people happy. 52 00:02:42,800 --> 00:02:45,640 Speaker 1: But they're not capable because they haven't been trained on 53 00:02:45,680 --> 00:02:47,600 Speaker 1: how to do it. They're not capable of thinking that through. 54 00:02:47,680 --> 00:02:50,560 Speaker 1: So they see, well, Elon Musk took some nice guy's job, 55 00:02:50,720 --> 00:02:55,359 Speaker 1: or Elon Musk, you know, denied some person their food 56 00:02:55,400 --> 00:02:56,880 Speaker 1: stamps or you know whatever. 57 00:02:57,160 --> 00:02:58,560 Speaker 3: He's a horrible human. 58 00:02:58,960 --> 00:03:02,400 Speaker 2: Well, you got to think is getting hit from both sides, right, 59 00:03:02,560 --> 00:03:05,800 Speaker 2: because obviously he had that very public falling out with 60 00:03:05,919 --> 00:03:10,680 Speaker 2: Donald Trump after he accused Trump of being named in 61 00:03:10,680 --> 00:03:13,799 Speaker 2: the Epstein files. And then you have the Democrats who 62 00:03:13,840 --> 00:03:16,480 Speaker 2: were very upset with him. In fact, he had a 63 00:03:16,880 --> 00:03:22,560 Speaker 2: negative eighty six net favorability rating just among Democrats. So 64 00:03:22,760 --> 00:03:25,119 Speaker 2: you put the dow together. Nobody likes the guy. 65 00:03:25,240 --> 00:03:27,640 Speaker 1: Okay, here, I get this all the time, though, And 66 00:03:27,680 --> 00:03:29,480 Speaker 1: this is how. I just let me give you a 67 00:03:29,639 --> 00:03:32,079 Speaker 1: This is perfect timing. You don't even know about this 68 00:03:32,720 --> 00:03:36,360 Speaker 1: a real world example. I get this all the time 69 00:03:36,440 --> 00:03:39,640 Speaker 1: from people who are mad at me for telling you 70 00:03:39,760 --> 00:03:42,560 Speaker 1: how it's gonna work or it's gonna happen, right, And 71 00:03:42,680 --> 00:03:45,360 Speaker 1: just because you don't like the result, it ain't my fault. 72 00:03:45,560 --> 00:03:48,640 Speaker 1: I'm not a decision maker. Last hour, we talked about 73 00:03:48,640 --> 00:03:52,080 Speaker 1: that law that the state of Indiana passed that made 74 00:03:52,080 --> 00:03:55,560 Speaker 1: it twenty five feet. You couldn't if the cops wanted 75 00:03:55,560 --> 00:03:58,960 Speaker 1: to enforce up to twenty five feet from them doing 76 00:03:59,040 --> 00:04:00,480 Speaker 1: their job, they could keep you from that. 77 00:04:00,640 --> 00:04:01,400 Speaker 3: And that was the law. 78 00:04:01,680 --> 00:04:03,560 Speaker 1: And I said, look the moment that law has passed, 79 00:04:03,600 --> 00:04:05,320 Speaker 1: we said in these airwaves, that is going to fail 80 00:04:05,360 --> 00:04:07,920 Speaker 1: in court for a variety of reasons. And now for 81 00:04:08,040 --> 00:04:10,920 Speaker 1: one of them, the most prominent of the Fourteenth Amendment Court. 82 00:04:10,680 --> 00:04:11,560 Speaker 2: Of Appeals struck it down. 83 00:04:11,600 --> 00:04:12,120 Speaker 3: Struck it down. 84 00:04:12,160 --> 00:04:12,600 Speaker 2: Can't do that. 85 00:04:12,640 --> 00:04:14,360 Speaker 3: And I said, it was a poorly written law. 86 00:04:14,640 --> 00:04:17,680 Speaker 1: I knew it was written, just like when they fake 87 00:04:17,760 --> 00:04:20,920 Speaker 1: came after Holcomb on the emergency power stuff and they 88 00:04:20,920 --> 00:04:22,680 Speaker 1: wrote a law that Abdullah and I said it time, 89 00:04:22,720 --> 00:04:24,599 Speaker 1: that is going to fail. That is a law that 90 00:04:24,680 --> 00:04:27,000 Speaker 1: is designed to fail. It will fail, and it did 91 00:04:27,200 --> 00:04:29,520 Speaker 1: fail in court. We said the same thing about this. 92 00:04:29,800 --> 00:04:33,720 Speaker 1: It's a poorly written law. It's deliberately vague. It was 93 00:04:33,839 --> 00:04:36,200 Speaker 1: done that way for political reasons so they could rah 94 00:04:36,279 --> 00:04:38,440 Speaker 1: rah with the police rather than write a good law that. 95 00:04:38,360 --> 00:04:41,240 Speaker 3: Could pass, and it failed. Don't blame me for that. 96 00:04:41,760 --> 00:04:43,840 Speaker 3: I was right. Why are you mad at me? Here's 97 00:04:43,880 --> 00:04:44,440 Speaker 3: the email I. 98 00:04:44,440 --> 00:04:47,680 Speaker 1: Get from Debbie. By the way, here's how Debbie signs 99 00:04:47,760 --> 00:04:53,400 Speaker 1: her what do they call that or our signature line whatever? 100 00:04:53,440 --> 00:04:53,600 Speaker 4: That is? 101 00:04:53,680 --> 00:04:53,800 Speaker 2: Right? 102 00:04:53,839 --> 00:04:58,600 Speaker 1: Yeah, yeah, My goal is to exceed your expectations. So 103 00:04:58,839 --> 00:05:01,800 Speaker 1: that's on her signature, and this is the email she 104 00:05:01,880 --> 00:05:05,800 Speaker 1: sent me. I can't believe you're supporting the law being 105 00:05:05,920 --> 00:05:10,279 Speaker 1: shut down about distancing from police that should have gone through. 106 00:05:10,720 --> 00:05:12,880 Speaker 3: There's no reason these. 107 00:05:12,680 --> 00:05:16,000 Speaker 1: Street idiots need to have their cameras out and be 108 00:05:16,120 --> 00:05:18,600 Speaker 1: in back of the police while they're trying to help people. 109 00:05:18,920 --> 00:05:19,919 Speaker 3: It's dangerment. 110 00:05:20,200 --> 00:05:23,839 Speaker 1: They have no business being around an active police scene. Michael, 111 00:05:23,920 --> 00:05:27,240 Speaker 1: is to exceed your expectations, Debbie, and so I just 112 00:05:27,600 --> 00:05:29,560 Speaker 1: I will read you my response to her, because I 113 00:05:29,640 --> 00:05:31,480 Speaker 1: deal with this all the time. Where you're angry at 114 00:05:31,520 --> 00:05:34,000 Speaker 1: me for telling you how it's gonna go down. They 115 00:05:34,040 --> 00:05:36,800 Speaker 1: wrote a bad law. But you're mad at me. I said, 116 00:05:38,400 --> 00:05:41,159 Speaker 1: twenty five feet isn't an active police scene, and clearly 117 00:05:41,200 --> 00:05:44,120 Speaker 1: the court disagreed as we said they would. You shouldn't 118 00:05:44,160 --> 00:05:46,200 Speaker 1: be mad at me for the lawmakers writing a law 119 00:05:46,240 --> 00:05:49,000 Speaker 1: that many people believe was poorly written and would get overturned. 120 00:05:49,960 --> 00:05:51,960 Speaker 1: But yeah, it's sort of like the same thing with musk. 121 00:05:52,400 --> 00:05:55,520 Speaker 1: You're mad about the price of food. They're doing it. 122 00:05:55,920 --> 00:05:58,440 Speaker 1: He's trying to fix all telling you what's going and 123 00:05:58,480 --> 00:06:01,120 Speaker 1: now you hate him because our old lost his job 124 00:06:01,160 --> 00:06:01,919 Speaker 1: in the process. 125 00:06:02,040 --> 00:06:05,920 Speaker 2: Yes, so Tesla saw a sixteen percent drop in their 126 00:06:05,960 --> 00:06:10,720 Speaker 2: net income, twelve percent revenue decline, and a lot of 127 00:06:10,760 --> 00:06:14,080 Speaker 2: people are saying that it's caused a broader decline and 128 00:06:14,160 --> 00:06:18,760 Speaker 2: public perception of not only him, but also electric vehicles. Now, 129 00:06:18,839 --> 00:06:21,520 Speaker 2: let's talk about some of the other people this. 130 00:06:21,560 --> 00:06:24,560 Speaker 1: Can I say something real quick though, Yeah, WU did 131 00:06:24,600 --> 00:06:27,240 Speaker 1: not exceed my expectations. I just want to get that 132 00:06:27,279 --> 00:06:29,320 Speaker 1: on the record because I know she's probably still listening 133 00:06:29,400 --> 00:06:29,800 Speaker 1: and real good. 134 00:06:29,800 --> 00:06:31,080 Speaker 2: I don't want to say I said it was your goal, 135 00:06:31,160 --> 00:06:32,880 Speaker 2: not that she was going to there's no guarantee. 136 00:06:32,920 --> 00:06:34,680 Speaker 1: Well, I'm letting her know, Okay, she did not exceed 137 00:06:34,720 --> 00:06:39,600 Speaker 1: my expectations. In fact, you underwhelmed me. Oh you underwhelmed 138 00:06:39,600 --> 00:06:43,040 Speaker 1: my expectations. Okay, so real quick. I just want to 139 00:06:43,080 --> 00:06:46,520 Speaker 1: say this though. What happened to Elon Musk is why 140 00:06:46,560 --> 00:06:50,279 Speaker 1: good people don't get involved, especially successful people, with trying 141 00:06:50,279 --> 00:06:52,960 Speaker 1: to help society through their government. And I've told this 142 00:06:53,000 --> 00:06:54,599 Speaker 1: story before, but I will tell it again. When I 143 00:06:54,640 --> 00:06:59,760 Speaker 1: was an elected person, there was a board that there 144 00:06:59,800 --> 00:07:03,080 Speaker 1: was a a local dentist in town who would be 145 00:07:03,120 --> 00:07:04,920 Speaker 1: perfect for it. My whole goal when I was elected 146 00:07:04,920 --> 00:07:06,520 Speaker 1: to clean out all the good old boys, all the 147 00:07:06,520 --> 00:07:09,680 Speaker 1: old timers, bring new people in. If I get younger people, 148 00:07:09,880 --> 00:07:12,600 Speaker 1: be great. And there was a beloved dentist in town 149 00:07:12,600 --> 00:07:14,120 Speaker 1: and I was like, this guy would be perfect for 150 00:07:14,200 --> 00:07:16,160 Speaker 1: this thing. So I went to him and I said, 151 00:07:16,240 --> 00:07:18,840 Speaker 1: you would be perfect. You have the skill set that 152 00:07:18,920 --> 00:07:21,800 Speaker 1: is totally applicable to this. We need new people. You'd 153 00:07:21,800 --> 00:07:24,480 Speaker 1: be great, and goes well, okay, but I really don't 154 00:07:24,520 --> 00:07:27,840 Speaker 1: want to do something that's going to potentially harm my 155 00:07:27,840 --> 00:07:30,120 Speaker 1: My practice was like, no, it'll be fine, Like this 156 00:07:30,160 --> 00:07:32,240 Speaker 1: stuff is very cut and dry. I mean, you'll have 157 00:07:32,280 --> 00:07:34,840 Speaker 1: to do some maybe controversial stuff, but it'll be fine. 158 00:07:35,480 --> 00:07:38,680 Speaker 1: He did the thing, He did the right thing, and 159 00:07:38,760 --> 00:07:41,720 Speaker 1: because it involved a thing that made the school system mad, 160 00:07:41,960 --> 00:07:42,720 Speaker 1: you know what they did. 161 00:07:43,040 --> 00:07:44,200 Speaker 3: People started going in. 162 00:07:44,120 --> 00:07:47,200 Speaker 1: There and going you you because they heard from the 163 00:07:47,200 --> 00:07:49,880 Speaker 1: tippy top people without having any knowledge whatsoever about what 164 00:07:49,880 --> 00:07:51,040 Speaker 1: the guy was actually doing or how it was going 165 00:07:51,120 --> 00:07:52,720 Speaker 1: to be beneficial or that he did the right thing. 166 00:07:53,080 --> 00:07:56,200 Speaker 1: You hurt the children. We're not gonna use you as 167 00:07:56,240 --> 00:07:58,760 Speaker 1: the dentist anymore. Well, who told you that? Well, so 168 00:07:58,920 --> 00:08:01,560 Speaker 1: and so told me that, do so and so said, 169 00:08:01,840 --> 00:08:03,800 Speaker 1: And he looked at me, and he goes, I told you. 170 00:08:04,080 --> 00:08:05,520 Speaker 1: I told you I didn't want to do this for 171 00:08:05,560 --> 00:08:07,400 Speaker 1: this reason. You told me it'd be no big deal. 172 00:08:07,440 --> 00:08:09,480 Speaker 1: Of course, I might have stretched truth a little because 173 00:08:09,480 --> 00:08:11,840 Speaker 1: I really wanted him on that board. But he goes, Okay, 174 00:08:11,960 --> 00:08:13,320 Speaker 1: my turns up at the end of this year, I'm 175 00:08:13,320 --> 00:08:15,320 Speaker 1: gone out of here. Even though the guy was really good, 176 00:08:15,320 --> 00:08:17,560 Speaker 1: he did the right thing, it was beneficial, but he 177 00:08:17,720 --> 00:08:20,360 Speaker 1: had to deal with all this crap and people threatening 178 00:08:20,400 --> 00:08:22,320 Speaker 1: his business for simply doing the right thing. 179 00:08:22,640 --> 00:08:25,280 Speaker 2: Well, it's not only that. It becomes dehumanizing, and you 180 00:08:25,360 --> 00:08:27,960 Speaker 2: have to give up your own integrity many times to 181 00:08:28,480 --> 00:08:31,280 Speaker 2: play the game. And good people don't want to do that. 182 00:08:31,760 --> 00:08:34,000 Speaker 2: So some more people that were on the list here 183 00:08:34,480 --> 00:08:39,920 Speaker 2: now Elon Musk. He fell behind the Israeli Prime Minister 184 00:08:40,160 --> 00:08:44,200 Speaker 2: Netnyahuu in popularity. He also trailed behind Pope Leo the 185 00:08:44,200 --> 00:08:49,120 Speaker 2: fourteenth by a big, big margin. So some other who 186 00:08:49,160 --> 00:08:50,880 Speaker 2: was number one is there? 187 00:08:52,679 --> 00:08:54,560 Speaker 3: The pope is the most popular person. Yep. 188 00:08:54,720 --> 00:08:58,280 Speaker 1: Now this pope, excuse me, you are the residential Catholic 189 00:08:58,320 --> 00:09:01,640 Speaker 1: expert of this radio program. This Pope thus far has 190 00:09:01,679 --> 00:09:05,599 Speaker 1: not really said or done anything that is remotely divisive 191 00:09:05,679 --> 00:09:08,360 Speaker 1: or controversial like the last pope. Right, He's been pretty 192 00:09:08,640 --> 00:09:12,160 Speaker 1: just just you know, hitting fairways and greens at this point. 193 00:09:12,240 --> 00:09:14,120 Speaker 2: Yeah, I believe. So. He just had a big thing 194 00:09:14,160 --> 00:09:16,320 Speaker 2: in Rome where there were like a million youth that 195 00:09:16,440 --> 00:09:18,880 Speaker 2: came in to hear him speak, and it seems to 196 00:09:18,880 --> 00:09:19,760 Speaker 2: be very popular. 197 00:09:19,880 --> 00:09:22,240 Speaker 1: Somebody gave him this is great. He was at some 198 00:09:22,360 --> 00:09:24,520 Speaker 1: event and somebody gave him a shirt that said to 199 00:09:24,640 --> 00:09:26,720 Speaker 1: Pope on it, because of course he's from Chicago. 200 00:09:26,840 --> 00:09:26,920 Speaker 2: Ye. 201 00:09:27,200 --> 00:09:29,520 Speaker 1: And that's the Bears and the Bears in the Saturday 202 00:09:29,559 --> 00:09:29,880 Speaker 1: Night Life. 203 00:09:29,880 --> 00:09:30,120 Speaker 2: S kid. 204 00:09:30,200 --> 00:09:34,120 Speaker 1: But what I'm saying is the last two popes on 205 00:09:34,200 --> 00:09:35,839 Speaker 1: the let what most people perceeed to be on the 206 00:09:35,920 --> 00:09:37,840 Speaker 1: left side of the aisle. Have seemed to have gone 207 00:09:37,840 --> 00:09:40,880 Speaker 1: out of their way to wade wade into issues that 208 00:09:41,000 --> 00:09:43,839 Speaker 1: sort of divided people amongst how they felt about the Pope. 209 00:09:44,200 --> 00:09:47,960 Speaker 1: This guy seems thus far to be pretty much you know, 210 00:09:48,280 --> 00:09:50,600 Speaker 1: like I said, fairways and greens, make a lot of pars, 211 00:09:50,640 --> 00:09:53,280 Speaker 1: don't make anybody mad, just sort of do what we 212 00:09:53,360 --> 00:09:55,800 Speaker 1: sort of associate with basic. How about this for some 213 00:09:55,880 --> 00:09:57,680 Speaker 1: phraseology basic Pope noess. 214 00:09:58,760 --> 00:10:01,120 Speaker 2: I thought you're gonna say, Pope is him? He had 215 00:10:01,200 --> 00:10:05,480 Speaker 2: a favorability rating of plus forty six. Now somebody else 216 00:10:05,480 --> 00:10:08,120 Speaker 2: who was also positive on this list, and when I 217 00:10:08,160 --> 00:10:10,320 Speaker 2: saw this, I thought, wait a minute, this is from 218 00:10:10,320 --> 00:10:14,400 Speaker 2: the gallop pole. Yeah, so I was thinking, oh boy, 219 00:10:14,440 --> 00:10:19,000 Speaker 2: they're getting partisan here. Maybe not Zelensky, Vladimir Zelensky from Ukraine. 220 00:10:19,120 --> 00:10:19,560 Speaker 3: Uh huh? 221 00:10:19,600 --> 00:10:24,880 Speaker 2: Also net positive plus eighteen, Bernie Sanders plus eleven. But 222 00:10:24,920 --> 00:10:25,360 Speaker 2: then you have. 223 00:10:25,400 --> 00:10:27,680 Speaker 3: Bernie Sanders plus eleven. 224 00:10:27,800 --> 00:10:30,280 Speaker 2: Yes, but then you had some people who were on 225 00:10:30,320 --> 00:10:30,720 Speaker 2: the negative. 226 00:10:30,720 --> 00:10:33,160 Speaker 1: Oh wait, wait, wa wait, touch time. So let's explore 227 00:10:33,200 --> 00:10:34,640 Speaker 1: that for a second. And we're going to run a 228 00:10:34,640 --> 00:10:37,680 Speaker 1: little long in this segment. But that's fine, okay, Bernie 229 00:10:37,760 --> 00:10:40,000 Speaker 1: Sanders has run twice for president and can't even get 230 00:10:40,040 --> 00:10:42,680 Speaker 1: out of his primary. Yet we're led to believe he's 231 00:10:42,720 --> 00:10:47,800 Speaker 1: this overwhelmingly popular guy. If he's so damn popular. See, 232 00:10:47,800 --> 00:10:49,440 Speaker 1: this is the way all this gets called into question 233 00:10:49,480 --> 00:10:52,240 Speaker 1: for me, why can't he win an election and not 234 00:10:52,280 --> 00:10:56,400 Speaker 1: even a general election the primary if he's so popular, 235 00:10:56,600 --> 00:10:58,680 Speaker 1: because we always hear this about Bernie Sanders, Yet he 236 00:10:58,720 --> 00:10:59,200 Speaker 1: can't win. 237 00:10:59,480 --> 00:11:02,120 Speaker 2: Yeah, and he's got to go on as fundraising tours 238 00:11:02,240 --> 00:11:06,720 Speaker 2: right now. He did that with AOC. She was in 239 00:11:06,760 --> 00:11:09,840 Speaker 2: the negative. She's minus four for being one of the 240 00:11:09,920 --> 00:11:12,200 Speaker 2: more popular people in America. 241 00:11:12,280 --> 00:11:13,280 Speaker 3: AOC is bad. 242 00:11:13,760 --> 00:11:14,240 Speaker 2: Negative four. 243 00:11:14,280 --> 00:11:15,079 Speaker 3: There's too many numbers. 244 00:11:15,120 --> 00:11:18,560 Speaker 1: Okay, that's because why is that? Because she's just as 245 00:11:18,600 --> 00:11:20,680 Speaker 1: obnoxious as a mouthe as Sanders is. 246 00:11:21,520 --> 00:11:23,920 Speaker 3: Why is that? What is what is that? 247 00:11:24,840 --> 00:11:25,000 Speaker 4: Why? 248 00:11:25,240 --> 00:11:28,640 Speaker 1: Why would somebody cav you're a young person. You fill 249 00:11:28,720 --> 00:11:31,240 Speaker 1: me in on this. Why would your idiot friends be 250 00:11:31,320 --> 00:11:34,600 Speaker 1: in favor of Bernie Sanders but not AOC. Help me 251 00:11:34,679 --> 00:11:37,559 Speaker 1: understand this. What's the difference to the same person, just 252 00:11:38,120 --> 00:11:41,280 Speaker 1: fit a different page fifty years give a great dispersion? 253 00:11:41,480 --> 00:11:42,160 Speaker 3: Why is this? 254 00:11:42,760 --> 00:11:44,480 Speaker 1: I mean, he ran for president, so I feel like 255 00:11:44,559 --> 00:11:48,079 Speaker 1: he's got a little more notoriety among the common folk. 256 00:11:48,320 --> 00:11:50,920 Speaker 1: Is he less obnoxious than her because she is? I mean, 257 00:11:50,960 --> 00:11:51,959 Speaker 1: he's ridiculous. 258 00:11:52,520 --> 00:11:53,840 Speaker 2: I think they're both obnoxious. 259 00:11:54,040 --> 00:11:57,000 Speaker 3: Yeah, but he's almost like a cartoon, like you could 260 00:11:57,000 --> 00:11:59,080 Speaker 3: put him in a say it's a little bit lovable. 261 00:11:59,280 --> 00:12:01,960 Speaker 1: Well, I'm saying like he's such a joke or such 262 00:12:01,960 --> 00:12:04,679 Speaker 1: a character that people almost don't. 263 00:12:04,600 --> 00:12:07,360 Speaker 2: Take him seriously. Where you think she really is trying 264 00:12:07,400 --> 00:12:07,960 Speaker 2: to be serious? 265 00:12:08,000 --> 00:12:09,040 Speaker 3: Yes, she's a vicious mother. 266 00:12:09,480 --> 00:12:12,680 Speaker 2: Yeah, she's full of some hypocrisy as well, saying that 267 00:12:13,040 --> 00:12:15,120 Speaker 2: she grew up in the Bronx and everybody knows so 268 00:12:15,320 --> 00:12:16,720 Speaker 2: is he she did? Not though? 269 00:12:16,840 --> 00:12:18,199 Speaker 3: How many homes does he have? Nine? 270 00:12:18,400 --> 00:12:21,280 Speaker 2: Yeah, exactly, and yet he went on that fundraising tour. 271 00:12:21,720 --> 00:12:25,280 Speaker 2: So Donald Trump and Marco Rubio are tied on this 272 00:12:25,360 --> 00:12:32,000 Speaker 2: list of favorability at negative sixteen. Okay, another couple that 273 00:12:32,040 --> 00:12:34,960 Speaker 2: are tied, and well, lo and behold, one of them 274 00:12:35,000 --> 00:12:38,920 Speaker 2: is in Indianapolis right now. Joe Biden and Jade Vance 275 00:12:39,000 --> 00:12:40,800 Speaker 2: both scored negative eleven. 276 00:12:40,960 --> 00:12:41,640 Speaker 3: Uh huh. 277 00:12:41,679 --> 00:12:45,360 Speaker 2: And then you had Robert Kennedy Junior negative five in 278 00:12:45,640 --> 00:12:46,480 Speaker 2: your life. 279 00:12:46,480 --> 00:12:50,839 Speaker 1: And this is a great opportunity here. I tell people 280 00:12:50,880 --> 00:12:52,679 Speaker 1: this all the time because people ask her, They say, 281 00:12:52,679 --> 00:12:53,400 Speaker 1: how do you do what you do? 282 00:12:53,440 --> 00:12:54,440 Speaker 3: I say, simply don't care. 283 00:12:55,080 --> 00:12:58,719 Speaker 1: Like, once you stop caring what anybody spous us to 284 00:12:58,760 --> 00:13:01,400 Speaker 1: think about you, you will feel such a relief on 285 00:13:01,480 --> 00:13:03,760 Speaker 1: your life. And I tell people this, and I said 286 00:13:03,800 --> 00:13:07,800 Speaker 1: this in politics, never lost an election. And every month 287 00:13:07,880 --> 00:13:10,520 Speaker 1: we are judged by the public at large. Hey, casey, 288 00:13:10,559 --> 00:13:12,800 Speaker 1: how do we do in the in the ratings last month? 289 00:13:12,880 --> 00:13:14,360 Speaker 3: Number one? How do we do the month before that? 290 00:13:14,480 --> 00:13:14,840 Speaker 2: Number one? 291 00:13:14,840 --> 00:13:16,880 Speaker 3: How do we do the month before that number? A 292 00:13:16,920 --> 00:13:17,439 Speaker 3: month before that? 293 00:13:17,600 --> 00:13:18,040 Speaker 2: Remember one? 294 00:13:18,480 --> 00:13:21,439 Speaker 1: Like one and a half times many months the next 295 00:13:21,480 --> 00:13:25,720 Speaker 1: closest competitor. So when I hear like anonymous people in 296 00:13:25,800 --> 00:13:29,840 Speaker 1: our YouTube chat, it's always the anonymous people, right, yeah, 297 00:13:29,880 --> 00:13:32,840 Speaker 1: we laugh at you. When I hear these politicians scream 298 00:13:32,880 --> 00:13:34,360 Speaker 1: about me, we laugh at you. 299 00:13:34,400 --> 00:13:35,880 Speaker 3: Why because the scoreboard. 300 00:13:35,920 --> 00:13:38,480 Speaker 1: So if you're a politician, you keep winning and you 301 00:13:38,559 --> 00:13:41,720 Speaker 1: can like, okay, Jade Vance is minus whatever, or Trump 302 00:13:41,800 --> 00:13:44,960 Speaker 1: is minus whatever, or Biden is minus whatever. Those guys 303 00:13:45,000 --> 00:13:47,480 Speaker 1: all they did was keep getting in the position they 304 00:13:47,520 --> 00:13:48,600 Speaker 1: wanted to be in. 305 00:13:49,160 --> 00:13:50,199 Speaker 3: You know why, because they don't care. 306 00:13:50,280 --> 00:13:52,040 Speaker 1: They don't care what your stupid little pole says. The 307 00:13:52,080 --> 00:13:54,040 Speaker 1: only poll it matters to politician is the poll on 308 00:13:54,080 --> 00:13:56,480 Speaker 1: election day and people hop and people pop, and then 309 00:13:56,480 --> 00:13:58,480 Speaker 1: they go in they vote for the same crap over 310 00:13:58,520 --> 00:13:59,600 Speaker 1: and over and over again. 311 00:14:00,080 --> 00:14:03,440 Speaker 2: You're listening to Kennel and Casey. It is ninety three WIBC. 312 00:14:07,520 --> 00:14:11,040 Speaker 3: So the government gotten man wrong again. 313 00:14:12,080 --> 00:14:14,640 Speaker 2: Yeah, that's what it looks like. The Congressional Budget Office 314 00:14:14,679 --> 00:14:17,400 Speaker 2: the CBO, they now estimate that the One Big Beautiful 315 00:14:17,440 --> 00:14:20,840 Speaker 2: Bill Act will add over four trillion to the US deficit. 316 00:14:21,640 --> 00:14:24,600 Speaker 2: And that's a little higher than the initial estimate, which 317 00:14:24,640 --> 00:14:25,800 Speaker 2: was three point four trillion. 318 00:14:25,840 --> 00:14:27,640 Speaker 1: Well that's six hundred billion. I mean, I know, like 319 00:14:27,760 --> 00:14:30,120 Speaker 1: three point four doesn't sound that much less than four 320 00:14:30,200 --> 00:14:33,200 Speaker 1: unless we're in trillions, and then that's six hundred billion. 321 00:14:33,480 --> 00:14:35,360 Speaker 3: Isn't it amazing? It never goes down. 322 00:14:35,800 --> 00:14:39,400 Speaker 1: It's never like, oh, we overestimated the amount of money 323 00:14:39,400 --> 00:14:43,160 Speaker 1: and'll add to the nation's debt. Oops, are bad this 324 00:14:43,720 --> 00:14:48,240 Speaker 1: So it comes back to, look these forecasters being wrong. 325 00:14:48,240 --> 00:14:50,840 Speaker 1: They're wrong on jobs, the wrong on the debt, they're 326 00:14:50,840 --> 00:14:53,200 Speaker 1: wrong on the Here in Indiana, they couldn't get the 327 00:14:53,680 --> 00:14:55,480 Speaker 1: numbers right for the economy and the budget. 328 00:14:55,840 --> 00:14:58,200 Speaker 3: Who are these people and how do they. 329 00:14:58,160 --> 00:15:00,400 Speaker 1: Keep having jobs if they keep being the off and 330 00:15:00,480 --> 00:15:02,080 Speaker 1: keep having to revise all their stuff. 331 00:15:02,160 --> 00:15:05,440 Speaker 2: Okay, this is the interesting part about this. They the 332 00:15:05,520 --> 00:15:09,600 Speaker 2: updated figure is now including seven hundred and eighteen billion 333 00:15:10,120 --> 00:15:15,200 Speaker 2: in debt service costs, which how much seven hundred eighteen billion. 334 00:15:15,120 --> 00:15:18,440 Speaker 1: That's in debt service So that's to nothing. So interest payments, 335 00:15:18,480 --> 00:15:20,320 Speaker 1: that's money you're throwing out right. 336 00:15:20,440 --> 00:15:21,720 Speaker 3: Have you ever looked at. 337 00:15:22,440 --> 00:15:24,520 Speaker 1: You're super rich, you paid cash for your home, so 338 00:15:24,560 --> 00:15:27,240 Speaker 1: it doesn't matter. But for us normal folks, us noormies. 339 00:15:28,000 --> 00:15:29,840 Speaker 1: You ever look at your mortgage and see just how 340 00:15:29,880 --> 00:15:33,280 Speaker 1: much money you light on fire every month with the interest. 341 00:15:33,120 --> 00:15:33,880 Speaker 2: Just with the interest? 342 00:15:33,960 --> 00:15:34,160 Speaker 3: Yeah? 343 00:15:34,240 --> 00:15:35,680 Speaker 2: Yeah, that As. 344 00:15:35,640 --> 00:15:38,920 Speaker 1: The OCD person, that bothers me so much, not just financially, 345 00:15:39,000 --> 00:15:41,000 Speaker 1: but it just bothers me that money goes to some 346 00:15:41,280 --> 00:15:46,160 Speaker 1: rich mortgage investment wherever it goes, and it's just like 347 00:15:46,360 --> 00:15:49,640 Speaker 1: I'm just sending it out into the It makes me 348 00:15:49,720 --> 00:15:52,600 Speaker 1: want to pay off my home as fast as humanly possible. 349 00:15:52,600 --> 00:15:53,960 Speaker 2: I was going to ask you, do you ever feel 350 00:15:54,000 --> 00:15:57,080 Speaker 2: like making a double payment in a month to get 351 00:15:57,120 --> 00:15:57,840 Speaker 2: it down quicker? 352 00:15:57,920 --> 00:16:01,400 Speaker 3: You know what my plan is to do? What? Well, 353 00:16:01,480 --> 00:16:02,440 Speaker 3: I'm still working through it. 354 00:16:02,720 --> 00:16:05,440 Speaker 2: Okay, you know you don't want to work there. 355 00:16:05,960 --> 00:16:08,640 Speaker 1: We're gonna I'm gonna have a big I'm gonna have 356 00:16:08,640 --> 00:16:10,400 Speaker 1: a big plan. Case they just don't know what it 357 00:16:10,480 --> 00:16:10,880 Speaker 1: is yet. 358 00:16:11,160 --> 00:16:12,640 Speaker 3: But somebody told me. 359 00:16:12,600 --> 00:16:14,800 Speaker 2: This, say more word, what's your plan? 360 00:16:16,520 --> 00:16:16,880 Speaker 3: The uh? 361 00:16:16,920 --> 00:16:20,960 Speaker 1: Somebody told me this years ago, and and well, I 362 00:16:20,960 --> 00:16:23,280 Speaker 1: all counts has checked out something like if you make 363 00:16:23,320 --> 00:16:25,200 Speaker 1: two extra mortgage payments a year, you can cut like 364 00:16:25,200 --> 00:16:26,600 Speaker 1: fifteen years off your mortgage. 365 00:16:26,640 --> 00:16:26,800 Speaker 3: Right. 366 00:16:26,880 --> 00:16:28,880 Speaker 2: Yeah, that's why I was asking, are you planning on 367 00:16:29,000 --> 00:16:29,840 Speaker 2: doubling up? Right? 368 00:16:30,360 --> 00:16:30,560 Speaker 4: Well? 369 00:16:30,600 --> 00:16:32,760 Speaker 1: I do try to do that every year, because you 370 00:16:32,840 --> 00:16:35,400 Speaker 1: know me, I get a plan and I stick to it. 371 00:16:35,880 --> 00:16:38,600 Speaker 2: You got a thirty year, fifteen year? What's going on 372 00:16:38,640 --> 00:16:39,040 Speaker 2: over there? 373 00:16:39,320 --> 00:16:42,000 Speaker 3: I will be in debt for a long time, casey, 374 00:16:42,640 --> 00:16:43,080 Speaker 3: I will be. 375 00:16:44,960 --> 00:16:47,640 Speaker 1: I am a parent at forty of a young child, 376 00:16:47,760 --> 00:16:49,680 Speaker 1: and I have a mortgage. I will be a slave 377 00:16:49,720 --> 00:16:52,160 Speaker 1: to society until my waning days. 378 00:16:52,320 --> 00:16:55,480 Speaker 2: Yes, this is probably true, especially the cost of raising 379 00:16:55,480 --> 00:16:59,240 Speaker 2: a child keeps elevating. So the New York Post this 380 00:16:59,320 --> 00:17:03,280 Speaker 2: is kind of I don't know. I think it's good 381 00:17:03,360 --> 00:17:07,800 Speaker 2: and bad. You don't hear about new newspapers launching, right 382 00:17:08,440 --> 00:17:09,400 Speaker 2: they are all going away? 383 00:17:09,400 --> 00:17:10,959 Speaker 3: Oh yeah, they're going away? Are is there a new 384 00:17:11,000 --> 00:17:11,960 Speaker 3: newspaper the. 385 00:17:11,960 --> 00:17:15,000 Speaker 2: New York Post is launching a West Coast newspaper and 386 00:17:15,080 --> 00:17:17,159 Speaker 2: it's called the California Post, and it's going to be 387 00:17:17,200 --> 00:17:22,600 Speaker 2: based out of Los Angeles, right, So they are going 388 00:17:22,640 --> 00:17:26,960 Speaker 2: to include both a daily print edition and an online lot. 389 00:17:27,680 --> 00:17:31,960 Speaker 2: That's what I'm saying. How hearing all the time about newspapers. 390 00:17:32,240 --> 00:17:37,040 Speaker 2: The cost of printing the newspaper is so high. That's 391 00:17:37,040 --> 00:17:39,240 Speaker 2: why a lot of them are going away the actual 392 00:17:39,320 --> 00:17:43,680 Speaker 2: cost of the printing. But now you've got this company 393 00:17:44,200 --> 00:17:49,679 Speaker 2: News Corps saying, yeah, no, California needs a Post like publication. 394 00:17:49,880 --> 00:17:54,200 Speaker 1: Tell me, Janine Piro does not look exactly like Nancy Pelosi? 395 00:17:55,240 --> 00:17:55,639 Speaker 2: You think so? 396 00:17:55,880 --> 00:17:57,920 Speaker 1: Do you think, keV? Look at that woman on TV? 397 00:17:58,000 --> 00:18:00,119 Speaker 1: Does that not look like a young Nancy? Like a 398 00:18:00,240 --> 00:18:01,400 Speaker 1: young Nancy Pelosi? 399 00:18:02,000 --> 00:18:04,399 Speaker 2: Yeah, I guess if she was like thirty years Yeah. 400 00:18:04,280 --> 00:18:07,960 Speaker 3: That's what I'm saying, Like, I mean, what is she now? 401 00:18:08,000 --> 00:18:12,359 Speaker 1: She's a prosecutor oh DC, She's the US attorney. People 402 00:18:12,400 --> 00:18:14,480 Speaker 1: know her from Fox News. She's the mouthy lady on 403 00:18:14,520 --> 00:18:16,920 Speaker 1: Fox News. And now she's the of course she is 404 00:18:16,920 --> 00:18:19,399 Speaker 1: because it's Trump. She's the US attorney for DC and 405 00:18:19,400 --> 00:18:22,560 Speaker 1: she's having some press conference. I think it's related to that, 406 00:18:22,560 --> 00:18:28,040 Speaker 1: that the Doge kid, the shooter, the Israel, the shooting 407 00:18:28,160 --> 00:18:31,960 Speaker 1: related to the Israel anyway. Point is she's she's having 408 00:18:32,000 --> 00:18:34,640 Speaker 1: a press conference right now, and she looks like if 409 00:18:34,680 --> 00:18:38,160 Speaker 1: you were to do a movie on a young Nancy Pelosi, 410 00:18:38,560 --> 00:18:41,359 Speaker 1: like I guess Pelosis so old now that would make 411 00:18:41,359 --> 00:18:44,240 Speaker 1: her in her sixties that you would cast her as 412 00:18:44,800 --> 00:18:46,000 Speaker 1: the Nancy Pelosi person. 413 00:18:46,119 --> 00:18:49,399 Speaker 2: Jine, She's judged, she's got her faculties. 414 00:18:49,440 --> 00:18:51,359 Speaker 3: Though she's saying she's a quick thing. 415 00:18:51,720 --> 00:18:53,359 Speaker 1: What I'm saying, if you want to do a like 416 00:18:53,400 --> 00:18:56,199 Speaker 1: a flashback, Nancy Pelosi is nine million years old now, 417 00:18:56,240 --> 00:18:58,080 Speaker 1: so go back thirty years to win she was but 418 00:18:58,160 --> 00:19:00,480 Speaker 1: a young pup in her late fifties or whatever that 419 00:19:00,520 --> 00:19:02,640 Speaker 1: would be. That is who they would put in the movie. 420 00:19:02,640 --> 00:19:04,800 Speaker 1: That is amazing how much she looks like Nancy Pocy. 421 00:19:05,320 --> 00:19:08,320 Speaker 2: Okay, So there is a big debate that is raging online, 422 00:19:08,840 --> 00:19:11,000 Speaker 2: and I think we have to discuss it because I 423 00:19:11,040 --> 00:19:13,920 Speaker 2: want to know what your answer would be. It's Kendall 424 00:19:13,960 --> 00:19:16,160 Speaker 2: and Casey. It's ninety three, WYBC. 425 00:19:22,720 --> 00:19:25,919 Speaker 1: I just shouldn't have said anything at all. That's the 426 00:19:25,960 --> 00:19:28,800 Speaker 1: story of my life. I should have said nothing at all. 427 00:19:29,440 --> 00:19:33,040 Speaker 2: Somebody complaining about something as well, what would you do? Now? 428 00:19:33,119 --> 00:19:34,960 Speaker 1: I get lots of complaints every day and normally just 429 00:19:35,000 --> 00:19:37,359 Speaker 1: ignore them. But I'm having fun today with it, and like, 430 00:19:37,560 --> 00:19:39,800 Speaker 1: I'm just letting you in a little inside in my life. 431 00:19:40,240 --> 00:19:43,040 Speaker 3: So we were talking about, uh, I really want. 432 00:19:42,920 --> 00:19:44,680 Speaker 2: To peek into that. 433 00:19:44,840 --> 00:19:48,680 Speaker 3: Well, Okay, keV, maybe we get I don't know. 434 00:19:48,680 --> 00:19:50,080 Speaker 1: I don't want to get shut down by YouTube. I 435 00:19:50,080 --> 00:19:52,399 Speaker 1: was gonna say, like, we need the people who need people, 436 00:19:52,520 --> 00:19:56,000 Speaker 1: Barbara streisand thing for the background on this, but I 437 00:19:56,040 --> 00:19:57,360 Speaker 1: just I don't want to go run the risk get 438 00:19:57,359 --> 00:19:58,400 Speaker 1: and shut down by the YouTube. 439 00:19:58,520 --> 00:19:58,800 Speaker 3: Okay. 440 00:19:58,840 --> 00:20:03,360 Speaker 1: So with the last segment we were doing, we were 441 00:20:03,400 --> 00:20:05,280 Speaker 1: doing it. I don't even know what we're talking about, 442 00:20:05,320 --> 00:20:06,760 Speaker 1: and I, as usually I just looked up at the TV. 443 00:20:07,160 --> 00:20:13,400 Speaker 2: We were talking about the Court of Appeals. Oh yeah, 444 00:20:13,480 --> 00:20:16,440 Speaker 2: some putting down that twenty five Some lady sent. 445 00:20:16,240 --> 00:20:19,080 Speaker 1: Me a derogatory email. Who What was her signature line? 446 00:20:19,119 --> 00:20:22,359 Speaker 1: I hope to exceed My goal is to exceed your expectations, 447 00:20:22,400 --> 00:20:26,160 Speaker 1: like a super positive, uplifting signature line. Okay, this lady, 448 00:20:26,240 --> 00:20:29,560 Speaker 1: she's she's the epitome of happiness and she you know, 449 00:20:29,680 --> 00:20:34,000 Speaker 1: probably brings a pie to her closings or whatever. Anyway, 450 00:20:34,119 --> 00:20:34,560 Speaker 1: it's this. 451 00:20:34,760 --> 00:20:37,760 Speaker 2: Just she's just riven on. 452 00:20:37,720 --> 00:20:41,560 Speaker 1: You, whining at me that I pointed out the law 453 00:20:41,680 --> 00:20:43,600 Speaker 1: that said the police have to be twenty you have 454 00:20:43,640 --> 00:20:45,359 Speaker 1: to stay twenty five feet away from the police are 455 00:20:45,359 --> 00:20:48,080 Speaker 1: in Indiana was a horribly written law. It wasn't going 456 00:20:48,119 --> 00:20:50,000 Speaker 1: to pass muster. The courts were going to throw it out, 457 00:20:50,040 --> 00:20:54,119 Speaker 1: and they did. And I said that when the moment 458 00:20:54,160 --> 00:20:55,880 Speaker 1: was written a set on these airwaves, you can go back, 459 00:20:55,920 --> 00:20:56,439 Speaker 1: you can hear it. 460 00:20:56,560 --> 00:20:58,639 Speaker 3: That ain't gonna hold up. And I said, that's ridiculous 461 00:20:58,800 --> 00:21:01,440 Speaker 3: that a low level radio broadcaster bird. 462 00:21:01,240 --> 00:21:04,119 Speaker 1: Lawyer can look at that, and all these attorneys in 463 00:21:04,200 --> 00:21:05,879 Speaker 1: our General Assembly couldn't see it. 464 00:21:06,359 --> 00:21:08,960 Speaker 3: And she sent me this uber negative. 465 00:21:08,560 --> 00:21:10,040 Speaker 1: Thing, and I just responded her, was like, lady, I 466 00:21:10,080 --> 00:21:12,200 Speaker 1: just told you want to go pass the courts and 467 00:21:12,800 --> 00:21:15,360 Speaker 1: it didn't. And so I dealt with that, and then 468 00:21:15,640 --> 00:21:17,200 Speaker 1: in the process of that, I looked up on TV 469 00:21:17,240 --> 00:21:19,680 Speaker 1: and that what's Judge Janine was what she was known 470 00:21:19,680 --> 00:21:24,120 Speaker 1: as on Fox News, Janine Piro Piro. She's the US 471 00:21:24,200 --> 00:21:29,119 Speaker 1: attorney for the DC yeah District of Columbia now. And I 472 00:21:29,280 --> 00:21:33,359 Speaker 1: simply said that she looks like or has a resemblance 473 00:21:33,400 --> 00:21:35,760 Speaker 1: to if Nancy Pelosi, if a movie were made about 474 00:21:35,760 --> 00:21:38,879 Speaker 1: her and there were some thirty year flashback, that that 475 00:21:39,000 --> 00:21:40,920 Speaker 1: is what she looks like. Now, I'm not saying she's 476 00:21:40,960 --> 00:21:44,240 Speaker 1: lost her faculties like Nancy Pelosi. I'm not saying she's 477 00:21:44,280 --> 00:21:47,280 Speaker 1: an ugly person. I just simply said that. 478 00:21:47,440 --> 00:21:50,040 Speaker 2: They have a similar right, she's seventy. 479 00:21:49,640 --> 00:21:52,560 Speaker 1: Four, by the way, I know that's she's very well preserved. 480 00:21:52,800 --> 00:21:56,239 Speaker 1: Nothing negative, derogative. And then I in the course of 481 00:21:56,520 --> 00:22:00,439 Speaker 1: human events, I simply said she was the known as 482 00:22:00,440 --> 00:22:04,000 Speaker 1: the mouthy lady on Fox News, meaning Casey did she 483 00:22:04,119 --> 00:22:06,679 Speaker 1: not like to get really intense and flap her gums 484 00:22:06,680 --> 00:22:07,040 Speaker 1: a lot? 485 00:22:07,240 --> 00:22:09,800 Speaker 2: Well, I think the other host would actually go to 486 00:22:09,880 --> 00:22:13,080 Speaker 2: her for her opinion because she is very educated. 487 00:22:13,440 --> 00:22:15,640 Speaker 3: And she brought the smoke she did. If some guy 488 00:22:15,840 --> 00:22:16,640 Speaker 3: not back down. 489 00:22:16,520 --> 00:22:19,680 Speaker 1: If some person were to be like Rob Kendall, yeah, 490 00:22:19,720 --> 00:22:22,439 Speaker 1: you know he's the mouthy guy on WIBC, I wouldn't 491 00:22:22,480 --> 00:22:24,679 Speaker 1: be running around making a federal case out of it. 492 00:22:24,760 --> 00:22:27,720 Speaker 2: I was like, you probably own it. Yeah, you're kind of. 493 00:22:27,720 --> 00:22:29,920 Speaker 3: Right on that. I bring the smoke, and I'm right 494 00:22:30,000 --> 00:22:32,159 Speaker 3: a lot, and that's what we do. How are we 495 00:22:32,240 --> 00:22:35,280 Speaker 3: doing in the ratings. Casey very nice, Yeah, very good. 496 00:22:35,600 --> 00:22:40,680 Speaker 3: Andy sends me this just one offhanded comment. Nothing negative 497 00:22:40,720 --> 00:22:41,159 Speaker 3: about her. 498 00:22:41,280 --> 00:22:44,159 Speaker 1: Nothing she's a moron or doesn't know her stuff, or 499 00:22:44,160 --> 00:22:46,000 Speaker 1: she should have never had a law to like, nothing, 500 00:22:46,200 --> 00:22:48,159 Speaker 1: none of that. I just amply said, she's the mouthy 501 00:22:48,240 --> 00:22:49,520 Speaker 1: lady on Fox News. 502 00:22:50,200 --> 00:22:52,439 Speaker 3: I've listened to you for a long time. 503 00:22:52,680 --> 00:22:57,200 Speaker 4: Oh no, but you really shouldn't describe Judge Janine Piro 504 00:22:57,680 --> 00:23:01,399 Speaker 4: as the mouthy lady on Fox. She is truly a 505 00:23:01,480 --> 00:23:04,480 Speaker 4: patriot and deserves a respect. 506 00:23:04,720 --> 00:23:07,600 Speaker 2: You respect her. Rom Okay, this is my life. 507 00:23:07,840 --> 00:23:10,479 Speaker 3: Everybody's like, what a cool job. You're the radio guy. 508 00:23:10,720 --> 00:23:12,920 Speaker 3: But I have to deal with this. That's the trade off. 509 00:23:13,080 --> 00:23:14,000 Speaker 2: That's the other side of it. 510 00:23:14,000 --> 00:23:16,240 Speaker 3: That's the trade off. This guy is mad at me 511 00:23:17,280 --> 00:23:18,200 Speaker 3: because and by. 512 00:23:18,080 --> 00:23:20,119 Speaker 2: The way, I love that she is super smart. 513 00:23:20,240 --> 00:23:22,840 Speaker 3: That's what did it in for him. All the stuff 514 00:23:22,880 --> 00:23:25,440 Speaker 3: I've said over the years, and that's what did it 515 00:23:25,720 --> 00:23:26,120 Speaker 3: for him. 516 00:23:26,200 --> 00:23:27,639 Speaker 2: Did he say he's no longer listening. 517 00:23:27,760 --> 00:23:31,360 Speaker 3: No, I didn't say anymore. 518 00:23:30,160 --> 00:23:33,840 Speaker 2: Saying he felt that you needed to show her some respect. 519 00:23:33,960 --> 00:23:34,399 Speaker 3: I love this. 520 00:23:34,720 --> 00:23:39,639 Speaker 4: She is truly a patriot deserves respects, respect. 521 00:23:39,720 --> 00:23:42,160 Speaker 3: I wasn't disrespecting her. What does she do? 522 00:23:42,400 --> 00:23:45,439 Speaker 1: She flapped her gums on Fox. That's why she was paid. 523 00:23:45,600 --> 00:23:48,679 Speaker 2: It's the only thing she did well and most recently though, That's. 524 00:23:48,560 --> 00:23:50,920 Speaker 1: What I'm saying, why was she That's what she is 525 00:23:50,960 --> 00:23:52,920 Speaker 1: best known for. If you stopped somebody on the street 526 00:23:52,920 --> 00:23:55,919 Speaker 1: who wouldn't recognize her, it would be as the woman 527 00:23:56,000 --> 00:23:58,280 Speaker 1: who was mouthy on Fox. 528 00:23:58,359 --> 00:23:59,760 Speaker 2: I think she would like to be known as the 529 00:23:59,800 --> 00:24:03,359 Speaker 2: first prosecutor to have a domestic violence unit in her. 530 00:24:03,280 --> 00:24:05,119 Speaker 1: Off Well, I would like to be known as the 531 00:24:05,160 --> 00:24:07,760 Speaker 1: greatest municipal tax cutter in the history of the state 532 00:24:07,760 --> 00:24:08,960 Speaker 1: of Indiana, which I am. 533 00:24:09,080 --> 00:24:11,480 Speaker 3: But what do people recognize me as most the guy. 534 00:24:11,359 --> 00:24:14,720 Speaker 1: Who does the midday showing WIBC, the off the rails guy. 535 00:24:14,760 --> 00:24:16,800 Speaker 1: People hear the name Rob Kindall, Oh that's the off 536 00:24:16,840 --> 00:24:21,160 Speaker 1: the rails guy, z Rob Kendall. Do I make a 537 00:24:21,200 --> 00:24:23,680 Speaker 1: federal case out of it if people recognize me as 538 00:24:23,680 --> 00:24:26,520 Speaker 1: the guy who you know, goes mollistic about bad government. 539 00:24:27,000 --> 00:24:27,280 Speaker 2: No? 540 00:24:27,680 --> 00:24:29,480 Speaker 3: But yet, did this guy I've. 541 00:24:29,280 --> 00:24:31,679 Speaker 1: Committed some sort of sin that should send me to 542 00:24:31,720 --> 00:24:34,040 Speaker 1: Guantanamo Bay for the remainder of my days. 543 00:24:34,080 --> 00:24:36,760 Speaker 2: All right, let's argue about this a social media trend 544 00:24:36,800 --> 00:24:40,720 Speaker 2: has influencers and commentators up in arms over the major 545 00:24:40,840 --> 00:24:44,760 Speaker 2: cities in the country. That is the question, what are 546 00:24:44,800 --> 00:24:48,399 Speaker 2: the major cities in the United States? All right, Frank, 547 00:24:48,520 --> 00:24:51,200 Speaker 2: what do you believe are the four major cities of 548 00:24:51,240 --> 00:24:52,080 Speaker 2: the United States? 549 00:24:54,840 --> 00:25:03,000 Speaker 4: New York, LA, Chicago, and Washington. 550 00:25:03,440 --> 00:25:06,480 Speaker 1: The four major cities in the US are definitely Chicago, 551 00:25:06,720 --> 00:25:09,920 Speaker 1: New York, Los Angeles, and Vegas. If you say anything else, 552 00:25:09,960 --> 00:25:11,040 Speaker 1: you are dead wrong. 553 00:25:11,720 --> 00:25:15,160 Speaker 4: New York City, Chicago, Miami. 554 00:25:14,960 --> 00:25:25,560 Speaker 2: La, Miami, Los Angeles, New York City, and Austin, Texas. 555 00:25:26,280 --> 00:25:31,400 Speaker 4: New York, LA, Chicago, Minneapolis, I think Austin. 556 00:25:32,160 --> 00:25:33,440 Speaker 3: Did I hear a Minnieanapolis? 557 00:25:33,480 --> 00:25:36,840 Speaker 2: Minnieapolis? So the trend here is that everybody's agreeing on 558 00:25:36,920 --> 00:25:40,120 Speaker 2: the top three, which would be New York Los Angeles. 559 00:25:40,280 --> 00:25:43,280 Speaker 3: Is the question Chicago, I asked you and keV what 560 00:25:43,280 --> 00:25:44,639 Speaker 3: what is the standard? Like? 561 00:25:44,680 --> 00:25:46,800 Speaker 1: What what are the four cities you think of when 562 00:25:46,800 --> 00:25:47,800 Speaker 1: you think of America? 563 00:25:48,240 --> 00:25:51,479 Speaker 2: Is that we're not stating what the standard is. So 564 00:25:51,800 --> 00:25:55,199 Speaker 2: a lot of people are taking in consideration population, the 565 00:25:55,240 --> 00:26:00,040 Speaker 2: actual land size of the city. You could consider the 566 00:26:00,040 --> 00:26:04,520 Speaker 2: culture that it brings, or also the history of the city. 567 00:26:04,680 --> 00:26:06,760 Speaker 1: But like for me, what of what if it's just 568 00:26:06,800 --> 00:26:09,359 Speaker 1: cities that bring you happiness. Like Brazil. Indiana was one 569 00:26:09,359 --> 00:26:11,280 Speaker 1: of the few places that had a nice public golf 570 00:26:11,400 --> 00:26:13,400 Speaker 1: course and up KFC with a buffet. 571 00:26:13,119 --> 00:26:14,840 Speaker 3: Right next to each other. Now, would you considered that 572 00:26:14,960 --> 00:26:15,920 Speaker 3: Brazil on the list? 573 00:26:15,960 --> 00:26:19,320 Speaker 2: Would you say that's a major city in the United States? 574 00:26:19,320 --> 00:26:21,159 Speaker 3: It was a major to my upbringing. I played a 575 00:26:21,160 --> 00:26:22,120 Speaker 3: lot of golf there and ated. 576 00:26:22,040 --> 00:26:25,280 Speaker 1: That kfcrem therom there. 577 00:26:25,359 --> 00:26:27,520 Speaker 2: Now, somebody did go on and they were answering and 578 00:26:27,560 --> 00:26:31,240 Speaker 2: they said, Sheboygan Wisconsin like that. You know, obviously that 579 00:26:31,280 --> 00:26:32,439 Speaker 2: person has some favorite tis. 580 00:26:32,440 --> 00:26:35,840 Speaker 3: Okay, But if we're talking big cities that you first. 581 00:26:35,640 --> 00:26:38,119 Speaker 2: Think of you when you can, you say the major 582 00:26:38,160 --> 00:26:39,679 Speaker 2: cities of the United States. 583 00:26:39,720 --> 00:26:43,480 Speaker 1: I would, for I would say Los Angeles, New York, Chicago, 584 00:26:43,600 --> 00:26:45,200 Speaker 1: and I would put Houston in there. 585 00:26:45,280 --> 00:26:48,600 Speaker 2: Okay, So you've got the uh NASA Space Center. It 586 00:26:48,720 --> 00:26:52,960 Speaker 2: is the fourth largest city by population in the country. 587 00:26:53,320 --> 00:26:56,679 Speaker 2: It's got a strong culinary scene. You've got your text 588 00:26:56,720 --> 00:27:01,000 Speaker 2: mex your barbecue, and you know it's it's got a 589 00:27:01,080 --> 00:27:03,800 Speaker 2: vibrant street scene. 590 00:27:03,359 --> 00:27:05,560 Speaker 3: Three major sports teams there. 591 00:27:05,600 --> 00:27:08,760 Speaker 2: You go, So some other cities that people are considering. 592 00:27:09,200 --> 00:27:13,200 Speaker 2: You've got Phoenix, Arizona, the fifth largest city in the country. 593 00:27:13,560 --> 00:27:18,280 Speaker 2: Obviously it's got that Southwest mix Philadelphia, Pennsylvania. This is 594 00:27:18,320 --> 00:27:21,359 Speaker 2: the sixth largest city in the country based on population. 595 00:27:22,000 --> 00:27:25,720 Speaker 2: A lot of history there, one of America's oldest cities, 596 00:27:26,080 --> 00:27:30,760 Speaker 2: Revolutionary War history, who liberty belts. There's no there's no winner. 597 00:27:30,960 --> 00:27:34,440 Speaker 2: This is just the conversation most people can agree this. 598 00:27:34,440 --> 00:27:36,560 Speaker 1: Is everybody gets a trophy, every city gets a trophy 599 00:27:36,640 --> 00:27:37,640 Speaker 1: in this. Then there's no win. 600 00:27:37,840 --> 00:27:39,680 Speaker 2: Kind of like, what do you think what it would be? 601 00:27:39,800 --> 00:27:44,080 Speaker 1: There's no there's no accumulation of the results to hears 602 00:27:44,080 --> 00:27:45,720 Speaker 1: who are the winners of the thing? 603 00:27:46,000 --> 00:27:46,240 Speaker 2: Right? 604 00:27:46,320 --> 00:27:47,160 Speaker 3: What would you say? 605 00:27:47,760 --> 00:27:49,600 Speaker 2: I you know what I've kind of a lot of 606 00:27:49,600 --> 00:27:51,280 Speaker 2: people have been saying, Miami, Florida. 607 00:27:51,680 --> 00:27:51,960 Speaker 3: Yeah. 608 00:27:52,440 --> 00:27:55,600 Speaker 2: Uh, And I heard one about New Orleans, which I 609 00:27:55,680 --> 00:27:59,080 Speaker 2: thought was really interesting that you know, if you're going 610 00:27:59,160 --> 00:28:01,320 Speaker 2: to go like Chicago, go Midwest, and you want to. 611 00:28:01,320 --> 00:28:04,440 Speaker 3: Go a middles on your list, I. 612 00:28:04,400 --> 00:28:08,159 Speaker 2: Think New Orleans might be there just for the culture. 613 00:28:08,240 --> 00:28:10,960 Speaker 3: I don't need an explanation, I just need the four cities. 614 00:28:10,960 --> 00:28:11,520 Speaker 3: What are they? 615 00:28:12,359 --> 00:28:17,960 Speaker 2: New York, LA, Chicago, New Orleans, Kevin as a snapshot 616 00:28:17,960 --> 00:28:18,479 Speaker 2: of the country. 617 00:28:18,560 --> 00:28:19,480 Speaker 3: Yeah, that's what I'm saying. 618 00:28:19,960 --> 00:28:22,280 Speaker 1: I agree with the guy who used Austin as this 619 00:28:22,440 --> 00:28:23,720 Speaker 1: fourth city, but you would. 620 00:28:23,480 --> 00:28:26,480 Speaker 3: Go with Chicago, New York, Los Angeles. Yeah, of course. Okay, 621 00:28:26,520 --> 00:28:28,040 Speaker 3: very good. What are we doing next? 622 00:28:29,040 --> 00:28:31,880 Speaker 1: Oh, you're gonna tell us about people picking up their 623 00:28:31,960 --> 00:28:32,919 Speaker 1: dog species. 624 00:28:33,200 --> 00:28:34,840 Speaker 3: How exciting this is going to be. 625 00:28:36,640 --> 00:28:40,000 Speaker 2: It's Kennilly Casey, It's ninety three WYBC. 626 00:29:00,640 --> 00:29:03,600 Speaker 3: Smarting and some artie and. 627 00:29:06,160 --> 00:29:08,480 Speaker 1: You can well, I mean you told it to me, 628 00:29:08,680 --> 00:29:11,560 Speaker 1: and I'm sure there's some sort of societal and by 629 00:29:11,560 --> 00:29:13,560 Speaker 1: the way, it's Kenilly Casey show. I'm rob that's Casey. 630 00:29:14,040 --> 00:29:16,640 Speaker 1: There's sort of some societal benefit from this. It just 631 00:29:16,680 --> 00:29:19,480 Speaker 1: seems very I don't know, I. 632 00:29:19,400 --> 00:29:21,840 Speaker 2: Mean, somebody was curious, so they wrote an article and 633 00:29:21,880 --> 00:29:22,960 Speaker 2: now we're going to talk about. 634 00:29:22,800 --> 00:29:24,080 Speaker 3: It, okay, and it's about what. 635 00:29:24,440 --> 00:29:26,760 Speaker 2: The does and don'ts of throwing away dog poop. 636 00:29:27,920 --> 00:29:28,320 Speaker 3: Okay. 637 00:29:28,440 --> 00:29:31,080 Speaker 1: So this is our number one rated radio program in 638 00:29:31,120 --> 00:29:34,440 Speaker 1: civil Indiana for our time slot. We're beloved by many, 639 00:29:34,480 --> 00:29:36,640 Speaker 1: and we're going to teach you how to handle your 640 00:29:36,680 --> 00:29:39,160 Speaker 1: dog's your dog species about So. 641 00:29:39,640 --> 00:29:42,880 Speaker 2: The City of Indianapolis spokesperson said that putting any kind 642 00:29:42,880 --> 00:29:48,160 Speaker 2: of trash in someone else's cart is technically illegal dumping Okay, 643 00:29:48,200 --> 00:29:49,000 Speaker 2: so this is. 644 00:29:49,000 --> 00:29:53,360 Speaker 1: If you you're out the dog does the business, right, 645 00:29:53,440 --> 00:29:55,480 Speaker 1: we all know that if your dog does the business, 646 00:29:55,480 --> 00:29:58,000 Speaker 1: you got to pick it up. You can't just leave 647 00:29:58,040 --> 00:30:00,920 Speaker 1: it there. Correct, that's not your proper right, you know. 648 00:30:00,960 --> 00:30:03,280 Speaker 1: It's I was always embarrassed if my dog even did it, 649 00:30:03,320 --> 00:30:05,200 Speaker 1: like even if and I wanted somebody to see me 650 00:30:05,240 --> 00:30:07,520 Speaker 1: pick it up, like it would Bruce if he was 651 00:30:07,560 --> 00:30:09,520 Speaker 1: doing somebody. I wanted somebody to see me pick it up, 652 00:30:09,560 --> 00:30:11,560 Speaker 1: like no, I'm sorry that this is on your property. 653 00:30:11,600 --> 00:30:13,360 Speaker 3: But there are people who will not pick the poo up. 654 00:30:13,800 --> 00:30:17,120 Speaker 2: So what they're talking about is if you take your 655 00:30:17,120 --> 00:30:19,880 Speaker 2: dog for a walk and the dog does its business, 656 00:30:20,200 --> 00:30:23,560 Speaker 2: and you pick it up, and you're walking back to 657 00:30:23,680 --> 00:30:26,440 Speaker 2: your house and you happen to walk by a neighbor 658 00:30:26,480 --> 00:30:29,600 Speaker 2: who has their trash can out maybe you know it's 659 00:30:29,640 --> 00:30:32,040 Speaker 2: getting picked up the next morning or something, and you 660 00:30:32,160 --> 00:30:34,400 Speaker 2: decide just to lift their lid and drop the dog 661 00:30:34,440 --> 00:30:37,600 Speaker 2: poo And that's amazing. Oh, people do it all the 662 00:30:37,720 --> 00:30:40,240 Speaker 2: time because they don't want to carry the dog pool 663 00:30:40,240 --> 00:30:42,360 Speaker 2: all the way back to their own home, yeah, to 664 00:30:42,440 --> 00:30:45,240 Speaker 2: finish the walk, so they'll just put it in a 665 00:30:45,280 --> 00:30:51,360 Speaker 2: neighbor's trash can that's out. Technically that is considered illegal dumping. 666 00:30:51,440 --> 00:30:52,440 Speaker 2: You're not allowed to do that. 667 00:30:52,840 --> 00:30:55,840 Speaker 3: Now you're in the city, so you have you have 668 00:30:55,920 --> 00:30:58,840 Speaker 3: a city trash, Come get your trash. 669 00:30:58,960 --> 00:30:59,160 Speaker 2: Yeah. 670 00:30:59,240 --> 00:31:02,080 Speaker 3: How long you leave your can out the night before okay? 671 00:31:02,200 --> 00:31:04,440 Speaker 2: Yeah, then once it's picked up, I put it away. 672 00:31:04,480 --> 00:31:06,040 Speaker 1: Okay, and by the time you get home as it 673 00:31:06,080 --> 00:31:07,479 Speaker 1: usually picked up. Yeah, okay. 674 00:31:07,680 --> 00:31:10,160 Speaker 3: Because there are some people who will leave their cans out. 675 00:31:09,960 --> 00:31:13,640 Speaker 2: For like days, days, right, or it just lives out there. 676 00:31:13,720 --> 00:31:14,960 Speaker 1: Can I do an other I know this is not 677 00:31:15,000 --> 00:31:16,880 Speaker 1: the purpose of our topic, but can I do another 678 00:31:16,960 --> 00:31:20,160 Speaker 1: beef that I have? Yeah, there is a near where 679 00:31:20,160 --> 00:31:23,120 Speaker 1: I live. There's a street that we walk down all 680 00:31:23,120 --> 00:31:25,440 Speaker 1: the time. Not a major thriffare through the town, but 681 00:31:25,480 --> 00:31:28,000 Speaker 1: it is a traveled street. There's a school near it, 682 00:31:28,040 --> 00:31:31,680 Speaker 1: et cetera. And people will leave their cans on the 683 00:31:31,720 --> 00:31:34,920 Speaker 1: sidewalk because there is no like like the driveways or 684 00:31:35,200 --> 00:31:38,480 Speaker 1: narrow And then in the evening when I'm going for 685 00:31:38,560 --> 00:31:40,360 Speaker 1: a walk, or I got my kid with me and 686 00:31:40,360 --> 00:31:42,160 Speaker 1: I'm going for a walking, got in the wagon or whatever, 687 00:31:42,400 --> 00:31:44,120 Speaker 1: their cans are still on the sidewalk. 688 00:31:44,200 --> 00:31:47,000 Speaker 3: Like the sidewalks are narrow, it's blocked, so I gotta 689 00:31:47,000 --> 00:31:48,720 Speaker 3: get off. I gotta make a choice. 690 00:31:48,720 --> 00:31:51,600 Speaker 1: I gotta either go through their yard with the wagon, 691 00:31:51,640 --> 00:31:53,480 Speaker 1: which I feel bad about being in somebody's yard, But 692 00:31:53,520 --> 00:31:55,400 Speaker 1: then I'm like, it's such a burden because it's a 693 00:31:55,480 --> 00:31:57,920 Speaker 1: there's like a little cliff to get to get to 694 00:31:58,040 --> 00:32:01,000 Speaker 1: the road, and that's a whole big thing to get 695 00:32:01,000 --> 00:32:05,200 Speaker 1: the wagon onto the road. Yeah, and it's pretty let's 696 00:32:05,320 --> 00:32:07,760 Speaker 1: just move it off the sidewalk. Well, I've been walking 697 00:32:07,800 --> 00:32:10,360 Speaker 1: the sidewalk. Can I touch someone's trash can? Is it 698 00:32:10,440 --> 00:32:12,880 Speaker 1: like a mailbox? Is that some sort of a fence 699 00:32:13,000 --> 00:32:15,280 Speaker 1: federal crime? Because I'm like, that's pretty rude of you 700 00:32:15,560 --> 00:32:19,120 Speaker 1: to just leave your can on the sidewalk into the 701 00:32:19,600 --> 00:32:22,400 Speaker 1: late hours of the evening. And it's multiple people that 702 00:32:22,440 --> 00:32:25,120 Speaker 1: will do this on the street, and it's interrupting the 703 00:32:25,160 --> 00:32:27,400 Speaker 1: travel of pedestrians, which is the premise of the sidewalk. 704 00:32:27,440 --> 00:32:29,479 Speaker 1: The sidewalk belongs to the pedestrian. 705 00:32:29,080 --> 00:32:31,520 Speaker 2: Right, So maybe you should just be more considerate to 706 00:32:31,560 --> 00:32:34,040 Speaker 2: your neighbors. Now here's the thing. I think you could 707 00:32:34,080 --> 00:32:36,960 Speaker 2: probably move the trash can out of the way and 708 00:32:37,200 --> 00:32:40,800 Speaker 2: you would not get any retaliation from that. Because the 709 00:32:40,880 --> 00:32:45,440 Speaker 2: Department of business and neighborhood services are the people who 710 00:32:45,480 --> 00:32:49,560 Speaker 2: actually enforce this section of the municipal code about the 711 00:32:49,640 --> 00:32:52,480 Speaker 2: illegal dumping with the dog poop. Sure, but they say 712 00:32:52,520 --> 00:32:56,800 Speaker 2: they lack the capacity to cite individuals for this specific 713 00:32:56,880 --> 00:33:00,400 Speaker 2: type of illegal dumping. So like, you're not supposed to 714 00:33:00,440 --> 00:33:02,960 Speaker 2: do it, but nobody's coming after you if you do 715 00:33:02,960 --> 00:33:03,280 Speaker 2: do it. 716 00:33:03,280 --> 00:33:05,160 Speaker 1: Okay, So this was my This was my other question 717 00:33:05,240 --> 00:33:09,200 Speaker 1: because like, I because if you're touching somebody's trash can, 718 00:33:09,720 --> 00:33:13,520 Speaker 1: but it's in a public it's the sidewalk or right away. 719 00:33:13,520 --> 00:33:15,120 Speaker 1: I guess the side would be a right away because 720 00:33:15,160 --> 00:33:18,680 Speaker 1: it belongs to the public, Like you own, you own 721 00:33:18,760 --> 00:33:21,880 Speaker 1: that part of the property, but you don't mean the sidelox. Yeah, 722 00:33:22,000 --> 00:33:25,840 Speaker 1: so I could move that person's trash can onto their 723 00:33:25,880 --> 00:33:28,720 Speaker 1: property and not face any ramification. I'm not talking like 724 00:33:28,720 --> 00:33:31,200 Speaker 1: being angrily throwing. I'm glad we had this conversation because 725 00:33:31,200 --> 00:33:32,000 Speaker 1: I've struggled with this. 726 00:33:32,120 --> 00:33:33,720 Speaker 2: I don't think anybody's coming after you. 727 00:33:34,400 --> 00:33:36,880 Speaker 1: Yeah, because it's really an inconvenience And I'm I get 728 00:33:36,880 --> 00:33:39,440 Speaker 1: people work late or whatever. I get that happens, but 729 00:33:39,520 --> 00:33:41,480 Speaker 1: it is when I see multiple people on the same 730 00:33:41,680 --> 00:33:45,720 Speaker 1: street having the issue and we're talking into the evening hours. 731 00:33:46,280 --> 00:33:47,800 Speaker 1: I think at some point I deserve the right to 732 00:33:47,800 --> 00:33:48,840 Speaker 1: be able to move the thing. 733 00:33:49,280 --> 00:33:53,680 Speaker 2: I'm just imagining you pulling a wagon. Is it a 734 00:33:53,720 --> 00:33:54,280 Speaker 2: red wagon? 735 00:33:54,800 --> 00:33:57,360 Speaker 3: Yeah? Yeah, so you'll love that. It's cute as can be. Oh, 736 00:33:57,400 --> 00:33:57,800 Speaker 3: you'll love this. 737 00:33:57,920 --> 00:34:00,440 Speaker 1: My neighbors they are like two or three houses. They 738 00:34:00,480 --> 00:34:03,960 Speaker 1: have kids that are elementary school age kids. And last 739 00:34:04,040 --> 00:34:08,000 Speaker 1: year they were like, hey, they've outgrown this both in 740 00:34:08,120 --> 00:34:10,239 Speaker 1: size and you're not putting a you know, a ten 741 00:34:10,320 --> 00:34:11,520 Speaker 1: year old in a wagon anymore. 742 00:34:11,840 --> 00:34:13,920 Speaker 3: Would you like this wagon? And it's one of the 743 00:34:13,960 --> 00:34:14,920 Speaker 3: fold up wagons. 744 00:34:14,920 --> 00:34:15,160 Speaker 4: Oh? 745 00:34:15,280 --> 00:34:17,000 Speaker 1: Nice, perfect, you can just put it back in the 746 00:34:17,080 --> 00:34:18,839 Speaker 1: garad folds back out. 747 00:34:18,960 --> 00:34:22,040 Speaker 3: It's the perfect size for our daughter. Yeah, it's great. 748 00:34:22,040 --> 00:34:25,239 Speaker 1: So yes, my very nice neighbors, who had only met 749 00:34:25,280 --> 00:34:27,600 Speaker 1: a couple times before that, yeah, came and. 750 00:34:27,760 --> 00:34:30,440 Speaker 2: Rather than it going to a landfill, somebody else can 751 00:34:30,600 --> 00:34:30,880 Speaker 2: use it. 752 00:34:31,080 --> 00:34:32,080 Speaker 3: What else do you have? 753 00:34:32,480 --> 00:34:35,760 Speaker 2: Okay, there's a new study. This came from Pure Research Center, 754 00:34:35,920 --> 00:34:39,560 Speaker 2: and they said that nearly half of American workers don't 755 00:34:39,600 --> 00:34:42,440 Speaker 2: take all their vacation days, that they're a looted Oh. 756 00:34:42,400 --> 00:34:43,279 Speaker 3: Why would you not do that? 757 00:34:43,360 --> 00:34:45,759 Speaker 2: They say many of them feel discouraged from using their 758 00:34:45,800 --> 00:34:47,799 Speaker 2: time off. Oh, feel guilty. 759 00:34:48,040 --> 00:34:48,759 Speaker 3: I can relate to that. 760 00:34:49,040 --> 00:34:51,560 Speaker 2: Yeah, now here's what guilt for taking the time off 761 00:34:51,800 --> 00:34:52,640 Speaker 2: that you are owed. 762 00:34:52,800 --> 00:34:55,160 Speaker 3: Well, But see, I feel weird when I don't come 763 00:34:55,200 --> 00:34:56,040 Speaker 3: to work. We've been through this. 764 00:34:56,160 --> 00:34:59,160 Speaker 1: I feel very weird when I'm not at my job, 765 00:34:59,239 --> 00:35:01,719 Speaker 1: Like I'm like I'm missing something. That day we went 766 00:35:01,760 --> 00:35:04,840 Speaker 1: to Chicago, I was just like, how many emails do 767 00:35:04,840 --> 00:35:05,000 Speaker 1: I have? 768 00:35:05,040 --> 00:35:06,360 Speaker 3: To look at you? And I got the OCD? 769 00:35:07,200 --> 00:35:08,600 Speaker 2: Are you thinking about work the whole time? 770 00:35:08,600 --> 00:35:09,000 Speaker 3: You were? 771 00:35:08,880 --> 00:35:08,920 Speaker 2: No? 772 00:35:09,040 --> 00:35:11,480 Speaker 1: No, No, it's just like over my head. Right when I 773 00:35:11,480 --> 00:35:12,840 Speaker 1: get home, I know there's these emails. 774 00:35:12,840 --> 00:35:13,279 Speaker 3: And that's the way. 775 00:35:13,440 --> 00:35:16,200 Speaker 1: See, you don't have crippling OCD, Casey, that's the way 776 00:35:16,239 --> 00:35:18,759 Speaker 1: the OCD works, Like you get focused on something. It's 777 00:35:18,800 --> 00:35:20,759 Speaker 1: why I'm so good at this job, because you just 778 00:35:20,800 --> 00:35:22,719 Speaker 1: get focused on something and you don't get off it, 779 00:35:22,760 --> 00:35:24,560 Speaker 1: and you can't get off it until you fix the 780 00:35:24,640 --> 00:35:27,000 Speaker 1: thing in question. And to me, I just knew they 781 00:35:27,000 --> 00:35:28,440 Speaker 1: could all be junk emails, but I got to get 782 00:35:28,440 --> 00:35:29,040 Speaker 1: thrown my got. 783 00:35:28,880 --> 00:35:31,040 Speaker 3: Off delete them or whatever. Yeah, and I'm just thinking 784 00:35:31,040 --> 00:35:32,520 Speaker 3: the whole time, like I got so much to do. 785 00:35:32,560 --> 00:35:34,840 Speaker 3: When I get home, I don't have the crippling OCD. 786 00:35:35,000 --> 00:35:37,160 Speaker 2: I have the fear of failure, and nobody is a 787 00:35:37,160 --> 00:35:38,480 Speaker 2: harder critic on myself. 788 00:35:38,520 --> 00:35:41,640 Speaker 1: You are myself like all the time, Casey will be 789 00:35:41,680 --> 00:35:44,799 Speaker 1: ripping on herselfing like Casey, you should care as little 790 00:35:44,800 --> 00:35:45,279 Speaker 1: as I do. 791 00:35:46,120 --> 00:35:50,399 Speaker 2: Right, But people don't take their vacation days also there 792 00:35:50,920 --> 00:35:53,120 Speaker 2: they have a fear of being seen as a slacker 793 00:35:53,600 --> 00:35:57,319 Speaker 2: or replaceable. Like you feel like, Okay, you took this 794 00:35:57,440 --> 00:36:00,319 Speaker 2: day off and they carried on without me, and maybe 795 00:36:00,320 --> 00:36:02,359 Speaker 2: that don't need me, or they'll find somebody who does 796 00:36:02,400 --> 00:36:02,800 Speaker 2: it better. 797 00:36:02,840 --> 00:36:05,040 Speaker 1: Now, this radio station actually owes me a giant thank you, 798 00:36:05,080 --> 00:36:07,239 Speaker 1: which I will never get because, as we know, every 799 00:36:07,320 --> 00:36:09,000 Speaker 1: year and they yell at me, I save all my 800 00:36:09,080 --> 00:36:10,279 Speaker 1: days until the end of the year and then just 801 00:36:10,280 --> 00:36:12,040 Speaker 1: take them. I basically don't work in December. 802 00:36:12,160 --> 00:36:13,440 Speaker 2: That works out real nice for me. 803 00:36:13,640 --> 00:36:17,239 Speaker 1: The reason I don't work in December is because, and look, 804 00:36:17,520 --> 00:36:21,320 Speaker 1: I freely admit, I am driven by spiite and rage 805 00:36:21,320 --> 00:36:23,479 Speaker 1: and hatred, spite and rage and hatred for the people 806 00:36:23,480 --> 00:36:25,719 Speaker 1: down the street from us at two hundred West Washington. Sure, 807 00:36:25,760 --> 00:36:27,960 Speaker 1: and I know the biggest middle finger in the world 808 00:36:28,040 --> 00:36:29,680 Speaker 1: to those people who I know the feeling is mutual 809 00:36:29,719 --> 00:36:30,160 Speaker 1: back as me. 810 00:36:30,600 --> 00:36:31,640 Speaker 2: They don't get a break from you. 811 00:36:32,239 --> 00:36:35,040 Speaker 1: Yeah, well is when they got to see that ratings 812 00:36:35,040 --> 00:36:37,759 Speaker 1: book posted every month and we are numero uno. 813 00:36:38,440 --> 00:36:40,959 Speaker 3: That is my drive to be here every single day. 814 00:36:41,080 --> 00:36:43,280 Speaker 1: And for the people whon't know the way the business works, 815 00:36:43,440 --> 00:36:45,719 Speaker 1: they don't really take the December book because everybody's off 816 00:36:45,760 --> 00:36:47,560 Speaker 1: and you got Christmas music and all this other stuff. 817 00:36:47,600 --> 00:36:50,840 Speaker 1: It doesn't it doesn't count the same. It's universally accepted. 818 00:36:51,120 --> 00:36:53,279 Speaker 1: It's like a throw away the holiday books and blah 819 00:36:53,320 --> 00:36:55,839 Speaker 1: blah blah. So like I feel comfortable that I can 820 00:36:55,880 --> 00:36:59,040 Speaker 1: do that because even if the ratings go down, it's 821 00:36:59,080 --> 00:37:01,399 Speaker 1: not a thing that people are judged by. And then 822 00:37:01,719 --> 00:37:03,439 Speaker 1: then I can get right back on my horse first 823 00:37:03,520 --> 00:37:06,440 Speaker 1: of January making these people insane on how well we 824 00:37:06,480 --> 00:37:08,480 Speaker 1: do it? Do you that I am I a horrible 825 00:37:08,520 --> 00:37:09,120 Speaker 1: human for that? 826 00:37:09,320 --> 00:37:12,160 Speaker 2: No? No, I think you're you're You take pride in 827 00:37:12,200 --> 00:37:13,759 Speaker 2: what you do and you want to do a good 828 00:37:13,880 --> 00:37:16,640 Speaker 2: job for all of our listeners. But my question for you, 829 00:37:16,719 --> 00:37:20,680 Speaker 2: when you return back after taking such a huge chunk 830 00:37:20,719 --> 00:37:23,239 Speaker 2: of time off all at once, Yeah, don't you have 831 00:37:23,320 --> 00:37:28,360 Speaker 2: an issue like re engaging restarting? Is it kind of like, Ah, 832 00:37:28,480 --> 00:37:30,120 Speaker 2: those first couple of days are like. 833 00:37:30,800 --> 00:37:34,600 Speaker 1: I was born to do this, Casey barn Right, I 834 00:37:34,600 --> 00:37:36,040 Speaker 1: can do this in my sleep. I could do this 835 00:37:36,080 --> 00:37:38,280 Speaker 1: all day every day. I'm like Benny in the Sandlot. 836 00:37:38,320 --> 00:37:41,359 Speaker 3: You know. Bennie would play baseball all day, every day 837 00:37:41,400 --> 00:37:43,680 Speaker 3: and all night. That's me. I would do radio all day, 838 00:37:43,719 --> 00:37:46,360 Speaker 3: every day and all night. And uh wait. 839 00:37:46,160 --> 00:37:48,839 Speaker 1: What a way to go out today about how much 840 00:37:48,880 --> 00:37:50,000 Speaker 1: we love our job. 841 00:37:50,320 --> 00:37:52,160 Speaker 3: Hopefully we get to keep them because they told us 842 00:37:52,200 --> 00:37:54,080 Speaker 3: around here, Thursday's the day they tell you if. 843 00:37:53,960 --> 00:37:56,920 Speaker 2: You're really Thursday right, Well, we'll find out tomorrow if 844 00:37:56,920 --> 00:37:59,759 Speaker 2: we're all If we're all here in the meantime, thank you, 845 00:38:00,239 --> 00:38:02,960 Speaker 2: Thank you, Kevin, and thank you for listening. It is 846 00:38:03,080 --> 00:38:05,520 Speaker 2: Kendall and Casey on ninety three WIBC.