1 00:00:00,080 --> 00:00:04,439 Speaker 1: Good morning, folks, ten oh five here on ninety three WIBC. 2 00:00:04,640 --> 00:00:08,080 Speaker 1: It is abdul. Normally hear me on Saturdays and State 3 00:00:08,119 --> 00:00:11,440 Speaker 1: House happenings. They just pinching it and filling in this morning, 4 00:00:11,800 --> 00:00:14,200 Speaker 1: along with the man who needs no mention, so we 5 00:00:14,200 --> 00:00:21,960 Speaker 1: won't give him one. Jay Lopez aka Indies Spanklish, Good morning, Mark, 6 00:00:22,160 --> 00:00:22,520 Speaker 1: good morning. 7 00:00:22,560 --> 00:00:25,200 Speaker 2: My reputation speaks for itself much like yours. 8 00:00:25,280 --> 00:00:29,080 Speaker 1: Yes it does. And by the way, two brown people, hey. 9 00:00:28,520 --> 00:00:31,960 Speaker 2: Listen, happy Brown History Month. Evidently I don't know actually 10 00:00:31,960 --> 00:00:33,479 Speaker 2: a Black History month. Well then I'm out of here. 11 00:00:33,520 --> 00:00:39,720 Speaker 1: Yeah, guys in rats like rast programm. Hey dam Do 12 00:00:39,720 --> 00:00:41,640 Speaker 1: I get the month off? He's like no, like, okay, 13 00:00:41,760 --> 00:00:44,200 Speaker 1: just checking, just just being a good guy. At least 14 00:00:44,200 --> 00:00:48,280 Speaker 1: don't get lincolns birthday off and Washington. So the actually, 15 00:00:48,280 --> 00:00:51,400 Speaker 1: in Illinois, Lincoln's birthday is actually a holiday, except because 16 00:00:51,400 --> 00:00:53,440 Speaker 1: normally's just President say, which is like the twenty second 17 00:00:53,440 --> 00:00:57,800 Speaker 1: of that third Monday of February. But in Illinois Lincolns 18 00:00:57,800 --> 00:01:00,760 Speaker 1: Birthday because that's where he grew up in spend most 19 00:01:00,760 --> 00:01:03,360 Speaker 1: of it. Although Indiana is his boyhood home, he spent 20 00:01:03,440 --> 00:01:07,360 Speaker 1: most of his in former years in Illinois and so on. 21 00:01:07,560 --> 00:01:09,600 Speaker 1: Used to work for a said government. It was really 22 00:01:09,600 --> 00:01:12,920 Speaker 1: good when Lincoln's Birthday would be like that Friday, and 23 00:01:12,959 --> 00:01:14,959 Speaker 1: then like President's Day would be like that Monday. It's 24 00:01:14,959 --> 00:01:17,160 Speaker 1: like woo four day weekend. Yeah, like awesome. Score one 25 00:01:17,160 --> 00:01:19,120 Speaker 1: for the good guys. H No, but always good to 26 00:01:19,120 --> 00:01:22,160 Speaker 1: be here, folks. Lotstuff to talk about on the program today, 27 00:01:23,120 --> 00:01:25,800 Speaker 1: and the one thing I want to talk about, Jerry 28 00:01:25,959 --> 00:01:29,280 Speaker 1: was data centers. Now you're not a big fan. 29 00:01:29,640 --> 00:01:32,600 Speaker 2: I just I mean, listen, it's so many resources that 30 00:01:32,680 --> 00:01:34,920 Speaker 2: it uses from the community. My issue is when it 31 00:01:34,920 --> 00:01:37,360 Speaker 2: comes to data centers. I hate when they say they're 32 00:01:37,360 --> 00:01:39,839 Speaker 2: bringing things here because I know you're not hiring hoosiers. 33 00:01:40,200 --> 00:01:41,959 Speaker 2: That's my issue when it comes to a lot of 34 00:01:42,000 --> 00:01:43,960 Speaker 2: these things. Now, if you're going to bolster up the 35 00:01:44,040 --> 00:01:46,760 Speaker 2: local community and things like that, Look, I live in Westfield. 36 00:01:46,760 --> 00:01:49,160 Speaker 2: There's been a lot of things been brought there. But 37 00:01:49,680 --> 00:01:51,960 Speaker 2: a lot of these things are HB one and out 38 00:01:51,960 --> 00:01:53,640 Speaker 2: of country, out of state employees. 39 00:01:53,800 --> 00:01:55,840 Speaker 1: Well, actually not necessarily the case. 40 00:01:56,080 --> 00:01:56,480 Speaker 2: Let's hear it. 41 00:01:56,720 --> 00:02:00,880 Speaker 1: I did some math because number one, data centers do 42 00:02:00,920 --> 00:02:03,680 Speaker 1: not hire a lot of people to actually run the data. 43 00:02:03,680 --> 00:02:08,080 Speaker 1: So now construction jobs, you know, digging design. That's where 44 00:02:08,080 --> 00:02:10,800 Speaker 1: a lot of the quote unquote jobs will come in. 45 00:02:11,520 --> 00:02:13,680 Speaker 1: But as far as like let's say, like a data 46 00:02:13,680 --> 00:02:16,480 Speaker 1: center out in Hancock County. Because I practice law in 47 00:02:16,520 --> 00:02:19,280 Speaker 1: Hancock County Court and drive off I seventy, you can 48 00:02:19,280 --> 00:02:21,480 Speaker 1: see where the data center stuff is all starting to 49 00:02:21,480 --> 00:02:25,160 Speaker 1: go up there. My thing is this, data centers do 50 00:02:25,240 --> 00:02:27,760 Speaker 1: not bring a lot of jobs, maybe like fifty to 51 00:02:27,800 --> 00:02:32,080 Speaker 1: like one hundred people basically running the data centers. However, 52 00:02:32,080 --> 00:02:36,520 Speaker 1: what data centers do do is a help local governments, 53 00:02:36,520 --> 00:02:40,000 Speaker 1: particularly with assess valuation. Because let's say I've got an 54 00:02:40,000 --> 00:02:42,480 Speaker 1: open field here, a couple hundred acres and it's just 55 00:02:42,520 --> 00:02:46,240 Speaker 1: basically his zone agriculture or industrial, but there's nothing there. 56 00:02:46,720 --> 00:02:49,080 Speaker 1: I bring in the data center, and then the data 57 00:02:49,120 --> 00:02:52,880 Speaker 1: center it increases the value of the land that it's on, 58 00:02:52,960 --> 00:02:55,960 Speaker 1: which increases the property taxes, which, by the way, now 59 00:02:56,000 --> 00:02:57,720 Speaker 1: that I have the data center here, I can actually 60 00:02:57,720 --> 00:03:00,840 Speaker 1: lower the property taxes of the people who live in 61 00:03:00,880 --> 00:03:02,520 Speaker 1: my who live in my community, because they still got 62 00:03:02,600 --> 00:03:04,000 Speaker 1: to pay for police, still got to pay for fire, 63 00:03:04,040 --> 00:03:06,000 Speaker 1: still gotta pay for roads, still got to pay for infrastructure, 64 00:03:06,000 --> 00:03:09,000 Speaker 1: sill got to pay for schools and sewers. And that's 65 00:03:09,000 --> 00:03:11,160 Speaker 1: something that's something I don't think people fully understood. We're 66 00:03:11,160 --> 00:03:14,639 Speaker 1: having the property tax debate here in Indiana, but about 67 00:03:14,639 --> 00:03:17,040 Speaker 1: to propery tax is okay, fine, but how are you 68 00:03:17,040 --> 00:03:18,360 Speaker 1: going to replace the VI? How are you gonna how 69 00:03:18,400 --> 00:03:19,680 Speaker 1: are you gonna pay for the stuff that you come 70 00:03:19,720 --> 00:03:20,760 Speaker 1: to expect and deserve. 71 00:03:20,800 --> 00:03:23,760 Speaker 2: So they have the data center in Hancock County. Uh, yes, 72 00:03:23,880 --> 00:03:25,920 Speaker 2: had they lowered the property taxes of the people in 73 00:03:25,960 --> 00:03:27,120 Speaker 2: Hancock County. 74 00:03:26,880 --> 00:03:28,280 Speaker 1: That I don't know yet because like I said, they 75 00:03:28,480 --> 00:03:30,280 Speaker 1: just I was probably not. But the days just how 76 00:03:30,360 --> 00:03:32,600 Speaker 1: starting to go up because those haven't done assessments yet, 77 00:03:33,040 --> 00:03:35,200 Speaker 1: did either, Because we do assessments in the in the spring, 78 00:03:35,320 --> 00:03:36,800 Speaker 1: you get to proper tax building the spring and in 79 00:03:36,840 --> 00:03:39,440 Speaker 1: the fall get it, get it twice a year. And 80 00:03:40,640 --> 00:03:42,640 Speaker 1: uh the actually one place we're gonna take a look 81 00:03:42,640 --> 00:03:44,360 Speaker 1: at is Morgan County because Morgan County actually have a 82 00:03:44,400 --> 00:03:48,320 Speaker 1: data center going up in Morgan County and a lot 83 00:03:48,360 --> 00:03:50,760 Speaker 1: of data centers are sill of the Long I fifty 84 00:03:50,800 --> 00:03:55,160 Speaker 1: five between here and the Chicago area. And so I 85 00:03:55,200 --> 00:04:00,680 Speaker 1: would argue that now the data centers actually good. Now, 86 00:04:00,800 --> 00:04:02,880 Speaker 1: please note, when you do the data center, you can't 87 00:04:02,880 --> 00:04:05,040 Speaker 1: get away the whole store. Right Like here we're going 88 00:04:05,040 --> 00:04:06,960 Speaker 1: to debate, you know, all these sales taxes or all 89 00:04:06,960 --> 00:04:08,360 Speaker 1: these taxes for like the next fifty years. 90 00:04:08,360 --> 00:04:10,040 Speaker 2: That's the other issue, right, That's how we bring them 91 00:04:10,080 --> 00:04:12,040 Speaker 2: here is we say, okay, no taxes and now what. 92 00:04:12,280 --> 00:04:14,120 Speaker 1: Yeah, Now, now that that to me is a fair 93 00:04:14,360 --> 00:04:17,239 Speaker 1: that's a that's a fair criticism. And it's basically based 94 00:04:17,279 --> 00:04:22,279 Speaker 1: on economic development. You know, over the past twenty thirty 95 00:04:22,360 --> 00:04:25,120 Speaker 1: years here in Indiana, and I know, at the very 96 00:04:25,200 --> 00:04:27,080 Speaker 1: least for twenty years since I've been here. You know, 97 00:04:27,080 --> 00:04:29,560 Speaker 1: we give away all these taxibatements, all these tax incentives, 98 00:04:29,960 --> 00:04:32,120 Speaker 1: and then tax centives don't show up, and then like, hey, 99 00:04:32,400 --> 00:04:34,279 Speaker 1: now what that's And I will say that's one thing 100 00:04:34,279 --> 00:04:37,440 Speaker 1: that Mitch Changers did very very well and Eric Holcomb. 101 00:04:37,680 --> 00:04:39,840 Speaker 1: Then unless you produce the jobs, you don't get the 102 00:04:39,880 --> 00:04:40,560 Speaker 1: tax credits. 103 00:04:40,960 --> 00:04:42,960 Speaker 2: Planing should be we need something for this. 104 00:04:43,080 --> 00:04:45,160 Speaker 1: Yeah, yeah, plane and simple. Here's we're going to give 105 00:04:45,160 --> 00:04:46,280 Speaker 1: you the land. We're going to give you a bit 106 00:04:46,279 --> 00:04:48,400 Speaker 1: of a break on the on the economic development. But 107 00:04:48,480 --> 00:04:51,359 Speaker 1: here's what we need in exchange for X y Z, 108 00:04:52,080 --> 00:04:56,240 Speaker 1: which is why I argue with with data centers they're 109 00:04:56,279 --> 00:05:00,440 Speaker 1: the perfect cure for for local governments and rations with 110 00:05:00,480 --> 00:05:03,320 Speaker 1: property taxes. I got to speak with the uh uh, 111 00:05:03,600 --> 00:05:07,440 Speaker 1: Matt Greller and Jennifer Simmons. They run accelerated in municipalities 112 00:05:07,440 --> 00:05:09,120 Speaker 1: all the time. They're they're the they're the group that 113 00:05:09,160 --> 00:05:11,720 Speaker 1: represents local local governments. So I done a lot of 114 00:05:11,720 --> 00:05:13,400 Speaker 1: work with them in the past and one of the 115 00:05:13,440 --> 00:05:15,760 Speaker 1: big thing that has always been with them is people 116 00:05:15,800 --> 00:05:19,640 Speaker 1: want services, but the services still have to be have 117 00:05:19,760 --> 00:05:21,960 Speaker 1: to be paid for. Now, we could argue that there's 118 00:05:22,320 --> 00:05:26,040 Speaker 1: maybe consolidation of government might be a way to go. Two, 119 00:05:26,160 --> 00:05:29,080 Speaker 1: because Indiana has what a thousand something not you know 120 00:05:29,160 --> 00:05:32,600 Speaker 1: townships here? What does township government still do? Why is 121 00:05:32,640 --> 00:05:35,400 Speaker 1: it here? You want talk about poor relief for cemeteries? 122 00:05:35,400 --> 00:05:37,320 Speaker 1: I can take I can take to the county level 123 00:05:37,360 --> 00:05:40,920 Speaker 1: and just be done with it, because there anything. Township 124 00:05:40,920 --> 00:05:42,800 Speaker 1: trustees are notorious for hiring their family. 125 00:05:42,560 --> 00:05:44,600 Speaker 2: Members, right this redundancy. 126 00:05:44,680 --> 00:05:48,440 Speaker 1: Yeah, if I remember the story a few years ago now, 127 00:05:49,279 --> 00:05:51,680 Speaker 1: someone was actually they had the township office in their home. 128 00:05:53,160 --> 00:05:56,440 Speaker 2: There's been a couple of township trustees recently that have 129 00:05:56,560 --> 00:05:58,760 Speaker 2: been caught stealing money here in Indiana. 130 00:05:58,920 --> 00:06:02,720 Speaker 1: Yes, and be cost still money and not just the trustees. 131 00:06:02,800 --> 00:06:05,039 Speaker 1: You also have the towns of constables getting in trouble too. 132 00:06:05,080 --> 00:06:07,880 Speaker 1: To dese Paul Hatch, whose office is literally around the 133 00:06:07,880 --> 00:06:11,960 Speaker 1: corner from here, she had all her issues, all her 134 00:06:12,000 --> 00:06:15,680 Speaker 1: troubles not not too long ago, which I brought about extensively. 135 00:06:16,000 --> 00:06:17,520 Speaker 1: And by the way, can find at all that crap 136 00:06:17,600 --> 00:06:19,559 Speaker 1: up at Indie Politics at org. Just type in whatever 137 00:06:19,560 --> 00:06:21,800 Speaker 1: you're looking for and if you can't find it's because 138 00:06:21,839 --> 00:06:23,720 Speaker 1: I haven'tritten it yet, or it's or it's not been 139 00:06:23,720 --> 00:06:28,120 Speaker 1: made public yet. But I do think getting back to 140 00:06:28,160 --> 00:06:31,680 Speaker 1: the issue of data centers is that on the one hand, 141 00:06:31,720 --> 00:06:34,359 Speaker 1: you get local governments or a strapper cash because the 142 00:06:34,400 --> 00:06:36,839 Speaker 1: property taxes. Okay, then maybe the data center is the 143 00:06:36,839 --> 00:06:41,320 Speaker 1: way to take care of all that. Now the grantization 144 00:06:41,320 --> 00:06:45,479 Speaker 1: about water resources and leap districts and farmland, but I 145 00:06:45,480 --> 00:06:50,280 Speaker 1: would argue that as far as water goes, with all 146 00:06:50,320 --> 00:06:52,480 Speaker 1: the aquifers that have due that dual has, but the 147 00:06:52,520 --> 00:06:56,039 Speaker 1: city of Indiana has, that should solve a multitude of 148 00:06:56,080 --> 00:06:58,800 Speaker 1: your water related issues, because idiot has a ton of 149 00:06:58,839 --> 00:07:01,440 Speaker 1: water and plenty of water. The Indiana Champion did a 150 00:07:01,440 --> 00:07:04,960 Speaker 1: big water survey, a water study. A couple of years ago. 151 00:07:05,480 --> 00:07:08,440 Speaker 1: What they found is with all the aquifers underneath, the 152 00:07:08,480 --> 00:07:11,760 Speaker 1: water is relatively easy to reach. It's just a matter 153 00:07:11,760 --> 00:07:13,600 Speaker 1: of get the water out of the ground and the 154 00:07:13,720 --> 00:07:15,840 Speaker 1: data going to keep the data center cool. Because once again, 155 00:07:16,160 --> 00:07:18,120 Speaker 1: here's my issue with data centers and Jarrel love to 156 00:07:18,120 --> 00:07:21,440 Speaker 1: get your thoughts on this. How often do you text somebody. 157 00:07:21,520 --> 00:07:23,200 Speaker 2: All the time, multiple times a day? 158 00:07:23,880 --> 00:07:24,800 Speaker 1: What do you usually texts? 159 00:07:25,320 --> 00:07:29,040 Speaker 2: When? What do you usually tell I mean, like anybody else, 160 00:07:29,240 --> 00:07:32,040 Speaker 2: texts or memes or gifts or just random stuff. 161 00:07:32,160 --> 00:07:36,280 Speaker 1: Yeah, so obviously the text message, you'll listen to meme, 162 00:07:36,720 --> 00:07:37,920 Speaker 1: you might send a video. 163 00:07:38,120 --> 00:07:41,160 Speaker 2: Clip, pictures of kids, pictures of day to day for kids, 164 00:07:41,160 --> 00:07:42,680 Speaker 2: So lots of pictures to take. 165 00:07:43,240 --> 00:07:46,520 Speaker 1: Well, all that data has got to go somewhere, plain 166 00:07:46,800 --> 00:07:52,080 Speaker 1: and simple. When there was a mean of the city 167 00:07:52,120 --> 00:07:55,320 Speaker 1: County Council about a month ago, and the people were 168 00:07:55,360 --> 00:07:57,320 Speaker 1: protesting the data center that wanted to go up in 169 00:07:57,360 --> 00:08:00,760 Speaker 1: Franklin Township, so they said piece and they go out 170 00:08:00,760 --> 00:08:03,160 Speaker 1: in the hallway and they had their little media scrum 171 00:08:03,240 --> 00:08:05,160 Speaker 1: because a good friend of mine, she was their media 172 00:08:05,600 --> 00:08:07,960 Speaker 1: personality person. We love it like brother and sister. We 173 00:08:08,120 --> 00:08:12,240 Speaker 1: disagreed on this one. Uh, the one woman who was 174 00:08:12,240 --> 00:08:14,240 Speaker 1: complaining about the Franklin Township data center. She had her 175 00:08:14,240 --> 00:08:17,240 Speaker 1: phone out and she was reading her script from her telephone, 176 00:08:17,880 --> 00:08:20,080 Speaker 1: and so she read a script like okay, any questions, Like, well, 177 00:08:20,120 --> 00:08:24,320 Speaker 1: I have a question. Yeah, you're reading your script from 178 00:08:24,360 --> 00:08:29,160 Speaker 1: your phone. Is that information stored in a data center somewhere? 179 00:08:30,000 --> 00:08:33,520 Speaker 1: So do you not see the irony? And you protesting 180 00:08:33,559 --> 00:08:36,160 Speaker 1: the data center but you're using the data center to 181 00:08:36,320 --> 00:08:37,760 Speaker 1: get your phone. 182 00:08:38,120 --> 00:08:39,640 Speaker 2: It's okay for me, but not for everybody else. 183 00:08:40,040 --> 00:08:43,679 Speaker 1: Yeah, doble check and like it is what it is. 184 00:08:43,720 --> 00:08:45,600 Speaker 1: But I just I just had to note the irony 185 00:08:45,720 --> 00:08:49,120 Speaker 1: and and and all this because the thing is, you know, 186 00:08:49,200 --> 00:08:52,959 Speaker 1: you notice you don't. They don't didn't necessarily dislike data centers, 187 00:08:53,600 --> 00:08:55,160 Speaker 1: They just don't want the data center near them. 188 00:08:55,600 --> 00:08:58,640 Speaker 2: That sounds very familiar for a lot of things, very 189 00:08:58,679 --> 00:09:01,040 Speaker 2: familiar for a lot of things, right, Oh, like what 190 00:09:01,360 --> 00:09:04,679 Speaker 2: like ice and everything else? Right, So when we come back, 191 00:09:04,720 --> 00:09:07,160 Speaker 2: I want to ask you about a court case. First 192 00:09:07,160 --> 00:09:11,320 Speaker 2: of it's kind first of many, and we're talking about 193 00:09:11,360 --> 00:09:16,960 Speaker 2: somebody want to d a D transition case? Huh okay, sure, 194 00:09:17,840 --> 00:09:18,640 Speaker 2: lots of somebody? 195 00:09:18,800 --> 00:09:23,800 Speaker 1: Wow, lot? Sure, why not? I'm I'm happy to play along. 196 00:09:24,240 --> 00:09:26,360 Speaker 1: Uh yeah, dad, yeah, shoot the shoot me the link over. 197 00:09:26,559 --> 00:09:31,200 Speaker 1: We'll chat about that. It is ten fifteen here on 198 00:09:31,559 --> 00:09:35,000 Speaker 1: ninety three WWC. It is a duel. It is mister spanglish. 199 00:09:35,400 --> 00:09:54,440 Speaker 1: We're in for Kent on Casey. We'll be right back. 200 00:09:54,520 --> 00:09:56,040 Speaker 1: You see. That's when you come in on this song. 201 00:09:56,800 --> 00:09:59,439 Speaker 1: Nothing to get all to you. Who's out first? And 202 00:09:59,440 --> 00:10:01,040 Speaker 1: then when they start singing, that's when you talk. 203 00:10:01,640 --> 00:10:03,680 Speaker 2: That's perfect, perfect execution. 204 00:10:04,640 --> 00:10:07,120 Speaker 1: You know you spend FM disc jockey in my younger days. 205 00:10:07,480 --> 00:10:09,840 Speaker 2: I didn't know that they had FM in your younger days. 206 00:10:09,920 --> 00:10:15,440 Speaker 1: Yes they did. And a nutshell when I had more 207 00:10:15,440 --> 00:10:18,200 Speaker 1: hair and less stomach, it's been FM disc jockey. So 208 00:10:18,200 --> 00:10:20,600 Speaker 1: I could hit the ramp like nobody's business and the 209 00:10:20,600 --> 00:10:22,760 Speaker 1: one from the one song I always made one song. 210 00:10:22,760 --> 00:10:24,040 Speaker 1: I was always able to hit the post. And I 211 00:10:24,080 --> 00:10:26,160 Speaker 1: was always so proud of myself. Was three doors down 212 00:10:26,200 --> 00:10:29,600 Speaker 1: in Kryptonite because it's got like that twenty second little music, 213 00:10:29,760 --> 00:10:32,560 Speaker 1: you know, ramp and everything. Yeah, I hit it right 214 00:10:32,920 --> 00:10:34,840 Speaker 1: right at the money. Bam. I bet that's a good 215 00:10:34,840 --> 00:10:36,800 Speaker 1: feeling when you do hit it right on time. Yes, 216 00:10:36,800 --> 00:10:39,959 Speaker 1: it is, of course not not what you can record 217 00:10:39,960 --> 00:10:41,760 Speaker 1: everything in voice tracking. You hit it and hit it 218 00:10:41,800 --> 00:10:45,240 Speaker 1: just perfectly. So good morning, folks. It is abdul Is 219 00:10:45,240 --> 00:10:47,440 Speaker 1: your Lopez in for a kindling casey this morning here 220 00:10:47,440 --> 00:10:50,480 Speaker 1: on ninety three. Obviously, I always appreciate you folks being 221 00:10:50,480 --> 00:10:52,400 Speaker 1: with us on the program to day. Now, miss Lopez, 222 00:10:52,400 --> 00:10:55,160 Speaker 1: you found a story about a lawsuit about a D transitioner. 223 00:10:55,200 --> 00:10:56,160 Speaker 1: What is that all about? 224 00:10:56,280 --> 00:10:59,440 Speaker 2: First of its kind, first in the country. I think 225 00:10:59,480 --> 00:11:02,240 Speaker 2: this is going to happened more and more often. So. 226 00:11:02,400 --> 00:11:05,000 Speaker 2: This was in New York. A twenty two year old 227 00:11:05,040 --> 00:11:07,080 Speaker 2: woman who identified as a boy in her teen years 228 00:11:07,120 --> 00:11:09,800 Speaker 2: won a two million dollar decision in a landmark lawsuit 229 00:11:10,080 --> 00:11:13,040 Speaker 2: against New York doctors accused of pushing a double mssectomy 230 00:11:13,120 --> 00:11:15,320 Speaker 2: on her when she was a minor. She had the 231 00:11:15,440 --> 00:11:17,920 Speaker 2: surgery when she was sixteen. She got approval from a 232 00:11:17,960 --> 00:11:22,559 Speaker 2: psychologist and a surgeon, both who are found liable by 233 00:11:22,600 --> 00:11:26,800 Speaker 2: a jury for medical malpractice. She's considered a D transitioner. 234 00:11:26,840 --> 00:11:29,240 Speaker 2: She was awarded one point six million for past and 235 00:11:29,320 --> 00:11:32,600 Speaker 2: future pain and suffering, and an additional four hundred thousand 236 00:11:32,880 --> 00:11:37,600 Speaker 2: for future medical expenses. It's the first D transition malpractice 237 00:11:37,679 --> 00:11:40,920 Speaker 2: lawsuit in the nation to go to trial and win. 238 00:11:42,240 --> 00:11:47,800 Speaker 1: Now here's what's interesting because I think the news peg 239 00:11:47,840 --> 00:11:51,320 Speaker 1: in the story is that when a personal transition to 240 00:11:51,320 --> 00:11:54,160 Speaker 1: go to gender transition from male to female to female 241 00:11:54,160 --> 00:11:55,839 Speaker 1: to male, that's a process. You got to go through 242 00:11:56,240 --> 00:12:00,200 Speaker 1: psychological evaluation, surgery, evaluation, the whole nine yards of before 243 00:12:00,200 --> 00:12:02,000 Speaker 1: you can actually go through it, particularly if you are 244 00:12:02,559 --> 00:12:06,000 Speaker 1: a minor at the time, which is eighteen and under. 245 00:12:06,440 --> 00:12:08,160 Speaker 1: And I think it's interesting because also in this New 246 00:12:08,200 --> 00:12:11,640 Speaker 1: York Post story, the woman's mother she was against it, 247 00:12:11,679 --> 00:12:14,160 Speaker 1: but she was worth that her daughter might commit suicide 248 00:12:14,920 --> 00:12:20,080 Speaker 1: because of some mental health related issues. However, malpractice is 249 00:12:20,160 --> 00:12:25,640 Speaker 1: still malpractice, So whether it's you know, regular surgery, transitional surgery, 250 00:12:26,240 --> 00:12:30,240 Speaker 1: malpractice is in a nutshell malpractice. Now, I think what 251 00:12:30,360 --> 00:12:32,160 Speaker 1: makes this interesting is that this may be the first 252 00:12:32,160 --> 00:12:37,720 Speaker 1: time that a malpractice situation actually one in court involving 253 00:12:37,800 --> 00:12:40,440 Speaker 1: somebody who's going through the transition from male to female 254 00:12:40,520 --> 00:12:45,479 Speaker 1: or female to male. But malpractice is still malpractice. 255 00:12:45,640 --> 00:12:48,880 Speaker 2: But then my question would be, shouldn't it all be 256 00:12:49,000 --> 00:12:53,080 Speaker 2: malpracticed then if we're doing gender re assignment surgeries on minors. 257 00:12:54,040 --> 00:12:56,480 Speaker 1: No, because the thing is because she went. 258 00:12:56,360 --> 00:12:58,680 Speaker 2: Like you just said, she went through a process, So 259 00:12:58,800 --> 00:13:00,760 Speaker 2: why is it now at torn till you can go. 260 00:13:00,920 --> 00:13:01,400 Speaker 2: You did me. 261 00:13:01,440 --> 00:13:04,080 Speaker 1: Wrong, because I want to say it was the under 262 00:13:04,160 --> 00:13:07,600 Speaker 1: pressure that the psychologists and the surgeon put on her, 263 00:13:07,960 --> 00:13:09,200 Speaker 1: like you need to do this, you need to do this, 264 00:13:09,200 --> 00:13:12,679 Speaker 1: seemed to do this, but okay, is it life threatening? Yes? 265 00:13:12,760 --> 00:13:12,800 Speaker 2: No? 266 00:13:12,960 --> 00:13:14,800 Speaker 1: Maybe, And we haven't seen I haven't seen the court docket, 267 00:13:14,840 --> 00:13:16,840 Speaker 1: so I really can't comment on that part per se. 268 00:13:17,360 --> 00:13:17,480 Speaker 2: Well. 269 00:13:17,600 --> 00:13:21,520 Speaker 1: What I can say though, is when the medical professionals 270 00:13:21,760 --> 00:13:24,160 Speaker 1: pressure you into doing something, you're not doing it on 271 00:13:24,160 --> 00:13:27,040 Speaker 1: your own free will. You're not. It's a matter of consent, 272 00:13:27,400 --> 00:13:29,840 Speaker 1: is what it is. And it's like me holding a gun, like, hey, 273 00:13:29,920 --> 00:13:32,400 Speaker 1: Jerry signed this contract right now, you and you sign it? 274 00:13:32,880 --> 00:13:33,800 Speaker 1: Did you really consent? 275 00:13:33,960 --> 00:13:34,120 Speaker 2: No? 276 00:13:34,160 --> 00:13:36,840 Speaker 1: Because I put a gun to your to your head. 277 00:13:37,280 --> 00:13:38,840 Speaker 1: It's like that stupid John Claude. 278 00:13:38,920 --> 00:13:40,840 Speaker 2: But they shouldn't the parent be found liable then as 279 00:13:40,840 --> 00:13:43,800 Speaker 2: well well, because this is a child that went through 280 00:13:43,800 --> 00:13:46,559 Speaker 2: the process. So then she's been failed the whole step 281 00:13:46,559 --> 00:13:49,000 Speaker 2: of the way. If her suit is she was pressured, well. 282 00:13:49,000 --> 00:13:51,080 Speaker 1: Well, the thing is under the question is under New 283 00:13:51,160 --> 00:13:57,120 Speaker 1: York law, can miners get transitional surgery without their parents' consent? 284 00:13:57,600 --> 00:14:00,560 Speaker 1: And if they can get it under what circumstances. No, 285 00:14:00,720 --> 00:14:05,480 Speaker 1: you got to go through psychological mental evaluation, the whole 286 00:14:05,559 --> 00:14:08,520 Speaker 1: nine yards because the mother was The mother said she 287 00:14:08,600 --> 00:14:11,160 Speaker 1: was against the surgery. However she was worth it. A 288 00:14:11,200 --> 00:14:14,560 Speaker 1: daughter might commit suicide if the daughter didn't get the 289 00:14:14,559 --> 00:14:15,400 Speaker 1: surgery right. 290 00:14:15,600 --> 00:14:18,560 Speaker 2: So it says here it says the jury was asked 291 00:14:18,640 --> 00:14:21,520 Speaker 2: not to rule on the ethics of gender related surgical 292 00:14:21,560 --> 00:14:25,000 Speaker 2: procedures for minors, instead whether the medical professionals took the 293 00:14:25,040 --> 00:14:29,760 Speaker 2: appropriate steps before suggesting the threshold crossing measure. The lawyers 294 00:14:30,040 --> 00:14:35,120 Speaker 2: for the defense said that she lived allegedly a happy 295 00:14:35,160 --> 00:14:37,320 Speaker 2: life as a mail for several years after the twenty 296 00:14:37,440 --> 00:14:41,160 Speaker 2: nineteen surgery before filing lawsuit in twenty twenty three. They 297 00:14:41,200 --> 00:14:43,600 Speaker 2: said they ensured that they didn't that she didn't or 298 00:14:43,640 --> 00:14:47,040 Speaker 2: he didn't have any psychological conditions such as depressing adhd 299 00:14:47,080 --> 00:14:50,760 Speaker 2: autism or biden dysmorphia before suggesting the surgery. 300 00:14:51,320 --> 00:14:54,160 Speaker 1: Now, what's interesting, though, is that apparently all this was 301 00:14:54,200 --> 00:14:57,760 Speaker 1: made in front of a jury. And I always tell 302 00:14:57,800 --> 00:14:59,680 Speaker 1: people whenever we kind of comment on the court cases, 303 00:14:59,680 --> 00:15:01,560 Speaker 1: you got to remember, number one, we weren't there, so 304 00:15:01,600 --> 00:15:04,480 Speaker 1: it's kind of point number one. But number two, we 305 00:15:04,520 --> 00:15:07,080 Speaker 1: don't know what evidence was introduced and also, by the way, 306 00:15:07,080 --> 00:15:09,280 Speaker 1: what evidence was kept out? No, what did what did 307 00:15:09,560 --> 00:15:12,560 Speaker 1: when the jurors went in that room to deliberate, What 308 00:15:12,680 --> 00:15:15,640 Speaker 1: were their instructions or were they told that they can consider? 309 00:15:15,640 --> 00:15:18,520 Speaker 1: What were they told that they can consider? And twelve 310 00:15:18,560 --> 00:15:22,360 Speaker 1: people or six to eight to twelve people basically got 311 00:15:22,400 --> 00:15:25,200 Speaker 1: in a room didn't know each other from from day one, 312 00:15:25,880 --> 00:15:30,400 Speaker 1: and said, hey, these people are liable for how much 313 00:15:30,400 --> 00:15:30,680 Speaker 1: of it was? 314 00:15:31,600 --> 00:15:34,400 Speaker 2: One point six and then four hundred additional medicals? 315 00:15:34,400 --> 00:15:37,440 Speaker 1: Saw million, Yeah, two million dollars, which doesn't. 316 00:15:37,160 --> 00:15:38,640 Speaker 2: Seem like a lot of money if you really are 317 00:15:38,680 --> 00:15:40,600 Speaker 2: going through all this stuff. Two millions not that much. 318 00:15:40,640 --> 00:15:42,600 Speaker 1: No, no, it's not. And that's the other thing I 319 00:15:42,680 --> 00:15:44,360 Speaker 1: tell people too, is you know. 320 00:15:44,360 --> 00:15:46,160 Speaker 2: You're gonna pay your lawyers. You gotta pay taxes. 321 00:15:46,160 --> 00:15:47,800 Speaker 1: In New York, you got you gotta pay lawyers, gotta 322 00:15:47,800 --> 00:15:49,520 Speaker 1: pay taxes. You gotta pay lawyer's fees the. 323 00:15:49,560 --> 00:15:51,480 Speaker 2: Whole not even a million, probably. 324 00:15:51,240 --> 00:15:53,200 Speaker 1: Whole nine yards. And by the way, the lawyer probably 325 00:15:53,240 --> 00:15:58,240 Speaker 1: got I would say anywhere if Lloyd did this, probably 326 00:15:58,320 --> 00:16:01,560 Speaker 1: at least a third a third, thirty three to forty percent. 327 00:16:01,880 --> 00:16:03,480 Speaker 2: And then you take your taxes out on top. 328 00:16:03,680 --> 00:16:07,120 Speaker 1: Yeah, so out of that two million and some change, 329 00:16:07,680 --> 00:16:10,640 Speaker 1: she'll probably see about a million dollars at the end 330 00:16:10,680 --> 00:16:13,080 Speaker 1: of the day. Now, a million dollars of twenty two 331 00:16:13,160 --> 00:16:17,240 Speaker 1: years old ain't bad to have, now, what I want? 332 00:16:17,360 --> 00:16:19,000 Speaker 1: What I want a million dollars and happened to go 333 00:16:19,040 --> 00:16:24,680 Speaker 1: through all that, probably not so much. But by the 334 00:16:24,760 --> 00:16:26,600 Speaker 1: end of the day, though, like I said to me, 335 00:16:26,680 --> 00:16:28,760 Speaker 1: this was more about medical malpractice, and it was about 336 00:16:28,760 --> 00:16:32,600 Speaker 1: the gender reassignment surgery. And like I said, the woman 337 00:16:33,080 --> 00:16:36,640 Speaker 1: she follow New York law went through, you know, the 338 00:16:37,200 --> 00:16:39,240 Speaker 1: went through the mental health and all the other valuations 339 00:16:39,320 --> 00:16:42,000 Speaker 1: and the whole nine yards blah blah blah blah. However, 340 00:16:42,600 --> 00:16:44,720 Speaker 1: and by the way, the story said, this was the 341 00:16:44,720 --> 00:16:47,360 Speaker 1: first you transition malpractice lawsuit in the nation to go 342 00:16:47,400 --> 00:16:50,200 Speaker 1: to trial and win, which tells me that there's been 343 00:16:50,240 --> 00:16:53,960 Speaker 1: other situations like this before, but they didn't win, which 344 00:16:54,000 --> 00:16:55,880 Speaker 1: kind of makes me wonder, like, Okay, well. 345 00:16:55,720 --> 00:16:57,720 Speaker 2: To your point, what was left out? What was let in? 346 00:16:57,880 --> 00:17:00,560 Speaker 1: Yeah, well I was let in and Mber two. What 347 00:17:00,680 --> 00:17:03,040 Speaker 1: cases they bring to begin with, Because it's one thing 348 00:17:03,040 --> 00:17:05,919 Speaker 1: to have a medical procedure and you don't like it afterwards, Well, 349 00:17:05,960 --> 00:17:09,960 Speaker 1: that's not malpractice. You just don't like what what you got. 350 00:17:10,359 --> 00:17:13,439 Speaker 1: It's like cosmetic surgery. You may not like it, but 351 00:17:13,600 --> 00:17:17,680 Speaker 1: it's it is, you know what it is. 352 00:17:18,040 --> 00:17:20,560 Speaker 2: So it's the way to alleviate this. First of all, 353 00:17:20,560 --> 00:17:22,480 Speaker 2: if we're just going to handle the malpractice thing, we've 354 00:17:22,480 --> 00:17:25,439 Speaker 2: now set precedent, right, So anybody now who wants to 355 00:17:25,480 --> 00:17:27,359 Speaker 2: sue somebody can look at the case. 356 00:17:27,440 --> 00:17:29,199 Speaker 1: Now in New York, they can look at the case 357 00:17:29,240 --> 00:17:31,160 Speaker 1: New York. But but they also got to remember two, 358 00:17:32,240 --> 00:17:35,280 Speaker 1: that case only good for New York. And by the way, 359 00:17:35,280 --> 00:17:37,520 Speaker 1: it was a trial court, not not an appellate court, 360 00:17:37,880 --> 00:17:40,240 Speaker 1: and not the not the New York Supreme Court. So 361 00:17:40,240 --> 00:17:41,760 Speaker 1: we got to keep that in its standing. 362 00:17:41,960 --> 00:17:42,080 Speaker 2: Right. 363 00:17:42,560 --> 00:17:46,040 Speaker 1: So the thing that to keep in mind is if if, 364 00:17:46,040 --> 00:17:48,520 Speaker 1: the if, the if, the if the if the surgeon's appeal, 365 00:17:48,600 --> 00:17:51,040 Speaker 1: which they probably will do right. Otherwise you got to. 366 00:17:51,119 --> 00:17:53,000 Speaker 2: And this is going to cost your license and stuff, right, 367 00:17:53,440 --> 00:17:54,919 Speaker 2: this kind of thing costs you your license. 368 00:17:56,480 --> 00:17:58,119 Speaker 1: It depends on what their father complain with like the 369 00:17:58,119 --> 00:18:00,520 Speaker 1: State Medical Society of the State Medical Board, like hey, 370 00:18:01,040 --> 00:18:04,080 Speaker 1: and potentially it can. But then again, once again that 371 00:18:04,160 --> 00:18:06,800 Speaker 1: gets a whole other world of legal right hurdles and things. 372 00:18:06,840 --> 00:18:07,920 Speaker 1: You got to you gotta jump through. 373 00:18:08,000 --> 00:18:09,920 Speaker 2: If only we had an attorney to talk to. 374 00:18:10,080 --> 00:18:12,920 Speaker 1: A New York, New York license attorney, I'm just Illinois 375 00:18:12,920 --> 00:18:15,159 Speaker 1: and Indiana unfortunately, But but. 376 00:18:15,520 --> 00:18:17,600 Speaker 2: But maybe we see this kit continue to come up now, 377 00:18:17,640 --> 00:18:20,800 Speaker 2: you know, like you said, it's just in New York, unfortunately, 378 00:18:20,880 --> 00:18:23,240 Speaker 2: And it's very sad to say. I mean, there's people 379 00:18:23,240 --> 00:18:25,240 Speaker 2: that are really dealing with body issues, and I don't 380 00:18:25,240 --> 00:18:28,199 Speaker 2: want to take the mental health aspect of that lightly. 381 00:18:28,240 --> 00:18:31,200 Speaker 2: I can't imagine being felt like I was born in 382 00:18:31,240 --> 00:18:35,040 Speaker 2: the wrong body. That sucks for them. But we really 383 00:18:35,080 --> 00:18:37,280 Speaker 2: have pushed this as a country over the past couple 384 00:18:37,240 --> 00:18:39,879 Speaker 2: of years, and I think we're going to see this 385 00:18:39,960 --> 00:18:42,159 Speaker 2: continue to ramp up with children that are, you know, 386 00:18:42,320 --> 00:18:44,720 Speaker 2: now adults that are dealing with decisions that they made 387 00:18:44,720 --> 00:18:47,520 Speaker 2: when they were immature about the societal pressure. 388 00:18:48,119 --> 00:18:49,800 Speaker 1: Now and that I think too is which is why 389 00:18:50,480 --> 00:18:53,280 Speaker 1: it didn't bother me when in the lawmakers said hey, 390 00:18:53,280 --> 00:18:54,720 Speaker 1: if you're going to have this type of surgery or 391 00:18:54,720 --> 00:18:56,560 Speaker 1: any type of surgery, if you're a minor, you need 392 00:18:56,560 --> 00:19:01,520 Speaker 1: to pronal consent. That that's called common sense. Like if 393 00:19:01,560 --> 00:19:03,760 Speaker 1: my son broke his arm, the doctor can fix his 394 00:19:03,840 --> 00:19:05,919 Speaker 1: arm without calling me first, So if you're going to 395 00:19:06,200 --> 00:19:08,280 Speaker 1: change it from male to female, like, yeah, I kind 396 00:19:08,280 --> 00:19:10,600 Speaker 1: of want to know. Now. It would be one thing 397 00:19:10,960 --> 00:19:14,080 Speaker 1: if informing me put my kid in danger because I'm 398 00:19:14,119 --> 00:19:17,000 Speaker 1: the person who broke his arm, right, yea that yeah, 399 00:19:17,040 --> 00:19:19,159 Speaker 1: that makes absolute perfect sense. But by the end of 400 00:19:19,160 --> 00:19:21,920 Speaker 1: the day, folks, and I think Jerry's right, You've got 401 00:19:21,920 --> 00:19:23,920 Speaker 1: to see a lot more of these pop up. But 402 00:19:24,119 --> 00:19:27,040 Speaker 1: but but please keep in mind, and this stir right, 403 00:19:27,080 --> 00:19:31,120 Speaker 1: here's just the person wont two million dollars in change. 404 00:19:31,480 --> 00:19:34,480 Speaker 1: It was the first detransitional malpractice lawsuit in the nation 405 00:19:34,560 --> 00:19:36,640 Speaker 1: to go to trial and win. That tells me these 406 00:19:36,640 --> 00:19:39,000 Speaker 1: things are going to trial before and people were not 407 00:19:39,119 --> 00:19:43,280 Speaker 1: so lucky or so fortunate to basically get a million 408 00:19:43,359 --> 00:19:47,760 Speaker 1: dollars and knock knock yourself out. It is ten thirty 409 00:19:48,520 --> 00:19:52,440 Speaker 1: here on ninety three WWC. So ahead, we talk about data, 410 00:19:52,600 --> 00:19:56,320 Speaker 1: we talk about data centers. Already, ed clear, ed clear, 411 00:19:56,720 --> 00:19:59,240 Speaker 1: he's the same representative leaving the Republican Party become an 412 00:19:59,280 --> 00:20:04,680 Speaker 1: independent and also marijuana two steps forward, three toques back 413 00:20:05,040 --> 00:20:09,000 Speaker 1: or something like that. You're listening to ninety three WIBC. 414 00:20:26,880 --> 00:20:28,399 Speaker 1: No all the girls, so you're pretty fly for a 415 00:20:28,400 --> 00:20:28,840 Speaker 1: white guy. 416 00:20:30,840 --> 00:20:31,600 Speaker 2: Another good one. 417 00:20:34,560 --> 00:20:37,440 Speaker 1: Good morning folks. It is abdul Is Jerry Lopez and 418 00:20:37,520 --> 00:20:39,800 Speaker 1: for kindling case. This morning here on ninety three WBC 419 00:20:39,880 --> 00:20:46,560 Speaker 1: ten thirty six. Uh, this morning, still ahead. I wanta 420 00:20:46,560 --> 00:20:48,359 Speaker 1: talking to Jerry about taking my wife on a vacation 421 00:20:48,400 --> 00:20:51,840 Speaker 1: to Antarctica a little bit later this morning. 422 00:20:53,359 --> 00:20:56,040 Speaker 2: I'm not in on that at all. I mean, that's 423 00:20:56,040 --> 00:20:58,240 Speaker 2: a pretty quick conversation. That's a bad idea of doing. 424 00:20:58,240 --> 00:20:59,040 Speaker 1: It's not a bad idea. 425 00:20:59,200 --> 00:21:00,960 Speaker 2: Yeah, it is us. You want to go see the 426 00:21:01,000 --> 00:21:02,600 Speaker 2: ice wall? Go look for the ice wall. I need 427 00:21:02,640 --> 00:21:05,240 Speaker 2: you to go figure out if this is what is it? 428 00:21:05,400 --> 00:21:07,440 Speaker 2: Flat world? Let's you if you're gonna go to Antarctica. 429 00:21:07,480 --> 00:21:08,760 Speaker 2: I got a list of things I need you to 430 00:21:08,840 --> 00:21:09,320 Speaker 2: check out. 431 00:21:09,160 --> 00:21:10,960 Speaker 1: For me to see the penguins. 432 00:21:11,040 --> 00:21:11,280 Speaker 2: Yeah. 433 00:21:11,480 --> 00:21:13,360 Speaker 1: I I went to the last series, the last seed 434 00:21:13,400 --> 00:21:16,160 Speaker 1: in X Files, in the n X Files movie where 435 00:21:16,160 --> 00:21:18,360 Speaker 1: the space show comes out of the Arctic and takes off, 436 00:21:18,400 --> 00:21:20,040 Speaker 1: and there it is Sculder Molder right there. 437 00:21:20,040 --> 00:21:21,840 Speaker 2: That's what I mean. Look for rip to Lee is. 438 00:21:21,840 --> 00:21:23,520 Speaker 2: There's a whole thing I need you to go check out. 439 00:21:25,080 --> 00:21:26,680 Speaker 2: My algorithm is a little sketch. 440 00:21:27,320 --> 00:21:29,800 Speaker 1: Come on, where's your since adventure we'll speak a little 441 00:21:29,800 --> 00:21:32,320 Speaker 1: sketchy this just and I want to get your thoughts 442 00:21:32,359 --> 00:21:35,760 Speaker 1: on this. Democrats flipped a red seat in the Texas 443 00:21:35,840 --> 00:21:42,720 Speaker 1: State Senate. Taylor Rimmett won against Leah Wamba Wam's gonna ass. 444 00:21:42,840 --> 00:21:47,440 Speaker 1: If I'm pronounce the last name correctly. Uh Wam's gonna 445 00:21:47,440 --> 00:21:50,199 Speaker 1: Ass was a conservative activist who let help effort take 446 00:21:50,240 --> 00:21:52,800 Speaker 1: over Texas school boards. With the early vote and ninety 447 00:21:53,560 --> 00:21:57,639 Speaker 1: of all precincts in the Democrats are up fifty seven 448 00:21:57,680 --> 00:22:01,320 Speaker 1: to forty three. And Trump actually won this seventeen percent 449 00:22:02,640 --> 00:22:05,160 Speaker 1: in the last election. So Jerry, I got to ask 450 00:22:05,200 --> 00:22:06,760 Speaker 1: you what the heck is going on here? 451 00:22:07,080 --> 00:22:08,600 Speaker 2: I mean, I would like to talk. I mean, that's 452 00:22:08,640 --> 00:22:11,080 Speaker 2: a huge switch to right, like thirty points or something 453 00:22:11,119 --> 00:22:14,600 Speaker 2: like that. It's pretty common that the incumbent or the 454 00:22:15,040 --> 00:22:19,600 Speaker 2: sitting party loses seats. I'm not surprised that's a huge switch. Also, 455 00:22:19,800 --> 00:22:21,879 Speaker 2: I mean, in a lot of these cases, people just 456 00:22:21,920 --> 00:22:25,040 Speaker 2: don't generally care unless there's a general election goal, which 457 00:22:25,080 --> 00:22:27,160 Speaker 2: is sad, right, most of us don't even pay attention 458 00:22:27,600 --> 00:22:30,040 Speaker 2: to the elections that affect us the most. Well, when 459 00:22:30,080 --> 00:22:32,000 Speaker 2: I go for midterms, I feel dumb because I don't 460 00:22:32,119 --> 00:22:33,600 Speaker 2: I used to not know who a lot of these 461 00:22:33,600 --> 00:22:36,119 Speaker 2: people were, and I'm voting for them for my school board, 462 00:22:36,560 --> 00:22:39,240 Speaker 2: for my county sheriff, for all these different things that 463 00:22:39,320 --> 00:22:42,320 Speaker 2: actually affect my life. Yet I have no idea who 464 00:22:42,320 --> 00:22:42,960 Speaker 2: this person is. 465 00:22:43,240 --> 00:22:48,760 Speaker 1: And it's interesting because once again, this is actually Remnant's 466 00:22:48,840 --> 00:22:53,359 Speaker 1: ad when adds a Democrat's rective overperforming in special elections 467 00:22:53,680 --> 00:22:56,720 Speaker 1: so far the cycle and even in I want to say, 468 00:22:56,760 --> 00:23:01,720 Speaker 1: the Tennessee special election that took place where the Republican won, 469 00:23:02,280 --> 00:23:04,720 Speaker 1: he won by a lot less than what than he 470 00:23:04,760 --> 00:23:07,520 Speaker 1: would usually win in that in that area and in 471 00:23:07,560 --> 00:23:08,320 Speaker 1: that neck of the woods. 472 00:23:08,359 --> 00:23:10,159 Speaker 2: I wonder what the voter turnout is for those kind 473 00:23:10,200 --> 00:23:13,639 Speaker 2: of things. I would assume it's drastically less. 474 00:23:14,600 --> 00:23:16,560 Speaker 1: I think that's an interesting question. I was. I was 475 00:23:16,640 --> 00:23:22,439 Speaker 1: checking the story to see, uh what turnout was, and 476 00:23:22,440 --> 00:23:24,199 Speaker 1: I'll see if I can find that what was a 477 00:23:24,240 --> 00:23:25,840 Speaker 1: turnout in uh in the special election? 478 00:23:26,480 --> 00:23:26,600 Speaker 2: Uh. 479 00:23:26,640 --> 00:23:31,120 Speaker 1: But usually the theory is is that more turnout sense 480 00:23:31,160 --> 00:23:35,679 Speaker 1: favored Democrats, lower turnout tens of favor Republicans. Is the 481 00:23:36,000 --> 00:23:37,840 Speaker 1: is a is a theory that people don't show up. 482 00:23:38,119 --> 00:23:43,159 Speaker 1: Republicans will always vote regardless. Democrats need something specially like 483 00:23:43,160 --> 00:23:43,960 Speaker 1: a Barack Obama. 484 00:23:44,119 --> 00:23:47,359 Speaker 2: We need summer of love. Yeah, ice raids, we need 485 00:23:47,400 --> 00:23:49,800 Speaker 2: we need something just look around, hands up, don't shoot. 486 00:23:49,880 --> 00:23:52,399 Speaker 2: We need something to happen to fire people up. 487 00:23:52,520 --> 00:23:54,320 Speaker 1: Yeah. But here's the thing. Don't get people a reason to. 488 00:23:54,280 --> 00:23:55,960 Speaker 2: Go out and vote. 489 00:23:56,200 --> 00:23:59,280 Speaker 1: There there there's a thought. Don't jig people that are 490 00:23:59,359 --> 00:24:02,440 Speaker 1: unarmed and solves a multitude of multipive issues. And then 491 00:24:02,800 --> 00:24:05,400 Speaker 1: get your story straight. After you shot the person, don't 492 00:24:05,440 --> 00:24:07,280 Speaker 1: come back and then doyn't blame the person for But 493 00:24:07,400 --> 00:24:11,840 Speaker 1: that's just me thinking, thinking out out here. But this 494 00:24:11,880 --> 00:24:14,880 Speaker 1: is the district is rather than its home. Trump won 495 00:24:14,920 --> 00:24:17,159 Speaker 1: the county by five points in the twenty twenty four election, 496 00:24:17,760 --> 00:24:21,240 Speaker 1: but Joe Biden carried it by eight hundred votes in 497 00:24:21,320 --> 00:24:25,360 Speaker 1: twenty twenty and so it's interesting. And by the way, 498 00:24:25,359 --> 00:24:28,960 Speaker 1: Trump posted the race to social media saying, hey, no 499 00:24:30,280 --> 00:24:35,520 Speaker 1: trend is a big supporter, credible supporter, make America great again. 500 00:24:35,560 --> 00:24:39,399 Speaker 1: Blah blah blah blah. But the interesting thing too was 501 00:24:39,480 --> 00:24:42,440 Speaker 1: that all the money that was spent in this particular race, 502 00:24:42,480 --> 00:24:44,240 Speaker 1: like more than two million dollars. 503 00:24:44,760 --> 00:24:46,960 Speaker 2: So how important it is though, I mean, what do 504 00:24:47,000 --> 00:24:49,680 Speaker 2: you think about Trump getting involved in our primaries. 505 00:24:49,200 --> 00:24:50,480 Speaker 1: Here, it's a bad idea. 506 00:24:50,720 --> 00:24:51,840 Speaker 2: Do you think it'll make a difference. 507 00:24:51,960 --> 00:24:57,040 Speaker 1: Nope, leave it alone. Stop, don't necessarily do it because 508 00:24:58,960 --> 00:25:01,600 Speaker 1: right now, and just to get people up to speed here, 509 00:25:01,920 --> 00:25:05,960 Speaker 1: Center Republicans basically have twenty five seats up in the 510 00:25:05,760 --> 00:25:08,840 Speaker 1: in the United States Senate, half this year, another half 511 00:25:08,880 --> 00:25:12,080 Speaker 1: the next two years and change. And so the question 512 00:25:12,400 --> 00:25:15,040 Speaker 1: was when the whole regition thing stuff came up, which 513 00:25:15,040 --> 00:25:19,119 Speaker 1: I followed from day one and from my conversations with 514 00:25:19,240 --> 00:25:22,639 Speaker 1: Sday lawmakers, like the votes aren't there. The votes were 515 00:25:22,720 --> 00:25:25,120 Speaker 1: never there for to pass. Now, the question was when 516 00:25:25,160 --> 00:25:29,720 Speaker 1: it'd be like no, twenty seven twenty four or was 517 00:25:29,760 --> 00:25:31,880 Speaker 1: it going to be like forty something ten something. Turns 518 00:25:31,920 --> 00:25:34,800 Speaker 1: out it was like thirty seven to nineteen is what 519 00:25:34,920 --> 00:25:37,680 Speaker 1: it was, with all the Democrats voting, know, and the 520 00:25:37,720 --> 00:25:42,120 Speaker 1: Republicans split. When I when I figured the Republicans were split, like, Okay, 521 00:25:42,400 --> 00:25:44,280 Speaker 1: this is not going to happen because you don't have 522 00:25:44,440 --> 00:25:47,960 Speaker 1: enough to make it happen. And now to threaten to 523 00:25:48,040 --> 00:25:51,920 Speaker 1: challenge to primary challenge people, Okay, but you're going to 524 00:25:52,000 --> 00:25:56,439 Speaker 1: challenge me for what that That's what I'd understand because 525 00:25:56,840 --> 00:25:59,040 Speaker 1: in politics, to beat in the company got do two things. 526 00:25:59,080 --> 00:26:01,240 Speaker 1: Number one tell people why then come it is bad? 527 00:26:01,560 --> 00:26:04,840 Speaker 1: And number two tell people why I'm good. It's like, 528 00:26:05,920 --> 00:26:08,520 Speaker 1: uh for lack of At a term when I was 529 00:26:08,600 --> 00:26:10,280 Speaker 1: in college, there was this girl who was totally hot, 530 00:26:10,320 --> 00:26:12,200 Speaker 1: who was totally madly in love with I was in 531 00:26:12,240 --> 00:26:13,960 Speaker 1: madley love with somebody like a different day of the week. 532 00:26:14,280 --> 00:26:16,719 Speaker 1: But she had a boyfriend. So I had to convince her, Hey, 533 00:26:16,720 --> 00:26:18,639 Speaker 1: here's why should leave your boyfriend and go out with me. 534 00:26:19,040 --> 00:26:20,840 Speaker 1: I convinced her. Leaving the boyfriend part going out with 535 00:26:20,920 --> 00:26:24,800 Speaker 1: me not so much the story of my life when 536 00:26:24,800 --> 00:26:28,200 Speaker 1: I was in my early twenties. But at the same time, 537 00:26:29,240 --> 00:26:31,720 Speaker 1: in politics is the exact same thing. You're in a 538 00:26:31,760 --> 00:26:34,080 Speaker 1: relationship with an elected official. I need to convince you 539 00:26:34,200 --> 00:26:37,040 Speaker 1: this elected official is no good and convince you to 540 00:26:37,200 --> 00:26:41,000 Speaker 1: go go out with a new elected official. And when 541 00:26:41,240 --> 00:26:42,600 Speaker 1: I look at some of the people who are sure 542 00:26:42,640 --> 00:26:45,080 Speaker 1: are doing primary challenges. For example, a woman named like 543 00:26:45,119 --> 00:26:47,920 Speaker 1: Wendy Davis, she's challenging my good friend Greg Good I 544 00:26:48,080 --> 00:26:51,359 Speaker 1: was to stay center from terror hate. I'm like, okay, you, 545 00:26:51,680 --> 00:26:54,080 Speaker 1: what are you going to beat Greg on? That's what understand. 546 00:26:54,320 --> 00:26:57,800 Speaker 1: Greg listened to his constituents had town hall meetings, took 547 00:26:57,840 --> 00:26:59,960 Speaker 1: their emails, took their phone calls, the whole nine yard 548 00:27:00,040 --> 00:27:02,240 Speaker 1: yards and his people they said they didn't want it. 549 00:27:03,440 --> 00:27:07,280 Speaker 1: That's it. And it's funny because people can ask me 550 00:27:07,320 --> 00:27:10,560 Speaker 1: a duel why didn't redistrict pass? Like easiest Occam's razor. 551 00:27:10,960 --> 00:27:13,159 Speaker 1: In other words, sometimes the simple explanation is what it is, 552 00:27:13,359 --> 00:27:17,080 Speaker 1: and supeximation was guess what people didn't want it? Ye, 553 00:27:18,480 --> 00:27:20,960 Speaker 1: plain and simple. All the polling that I saw and 554 00:27:21,000 --> 00:27:24,800 Speaker 1: all the conversations I had with lawmakers from northern, southern, eastern, Central, 555 00:27:25,520 --> 00:27:30,359 Speaker 1: whether it was the region, Albany, Richmond, Crawfordsville, you know, 556 00:27:30,680 --> 00:27:34,960 Speaker 1: ter Hoe, Ford, Wayne, to name it, they didn't want 557 00:27:35,000 --> 00:27:36,080 Speaker 1: it playing. 558 00:27:36,080 --> 00:27:38,520 Speaker 2: And so would a fair response be if you didn't 559 00:27:38,560 --> 00:27:41,000 Speaker 2: want redistricting, then you're one hundred percent okay with sending 560 00:27:41,040 --> 00:27:44,960 Speaker 2: Andre Carson to Congress to choose for deep for transitioning 561 00:27:45,080 --> 00:27:47,640 Speaker 2: children to go there and champion socialism to go there 562 00:27:47,680 --> 00:27:51,080 Speaker 2: and do all these crazy things. If you were against redistricting, 563 00:27:51,320 --> 00:27:52,200 Speaker 2: then you were for that. 564 00:27:52,600 --> 00:27:53,640 Speaker 1: Oh see, I don't see. 565 00:27:53,640 --> 00:27:56,400 Speaker 2: I don't because to me that this is a national conversation, 566 00:27:56,720 --> 00:27:58,800 Speaker 2: we're not talking about Indiana politics. To me, when we 567 00:27:58,840 --> 00:28:01,720 Speaker 2: talk about redistricting at your constituents or we're talking about 568 00:28:01,760 --> 00:28:05,119 Speaker 2: your representation in DC for the nation, then. 569 00:28:05,119 --> 00:28:08,440 Speaker 1: Find a cannon who can bet Andrew Carson. Because here's 570 00:28:08,480 --> 00:28:09,720 Speaker 1: the thing where they did. What they did with the 571 00:28:09,760 --> 00:28:12,040 Speaker 1: seventh Conrecial District was they divided. They took it from 572 00:28:12,520 --> 00:28:15,960 Speaker 1: so basically north of Ice seventy to the ninety sixth 573 00:28:15,960 --> 00:28:18,760 Speaker 1: Street the kentline to carbacorrehere the kind of line is, 574 00:28:19,080 --> 00:28:22,280 Speaker 1: and they divided into three into three parts. For example, 575 00:28:23,240 --> 00:28:27,080 Speaker 1: where we live on the northwest side of Indianapolis, our 576 00:28:27,240 --> 00:28:30,399 Speaker 1: congressman would have either been Aaron Houchen who lives down 577 00:28:30,480 --> 00:28:35,160 Speaker 1: in southern Indiana, or it would have been uh kind 578 00:28:35,160 --> 00:28:38,760 Speaker 1: of like almost like Jim Beard the the far west side, 579 00:28:38,800 --> 00:28:40,800 Speaker 1: the far or about as far west as you can 580 00:28:41,000 --> 00:28:43,200 Speaker 1: far east you can go in Jim Bear's district in 581 00:28:43,240 --> 00:28:45,320 Speaker 1: the fourth district. I know in Jim Beard for years, 582 00:28:45,880 --> 00:28:48,360 Speaker 1: like Jim Beard to death, Jim knows nothing about your 583 00:28:48,440 --> 00:28:50,720 Speaker 1: county or about by where by where we lived. 584 00:28:50,760 --> 00:28:52,640 Speaker 2: So so what I've heard from multiple people is it 585 00:28:52,720 --> 00:28:54,880 Speaker 2: wasn't that redistricting was bad, it was that the maps 586 00:28:55,000 --> 00:29:00,480 Speaker 2: just were not good. Well that too, because they idea 587 00:29:00,600 --> 00:29:01,440 Speaker 2: and flawed design. 588 00:29:01,600 --> 00:29:03,320 Speaker 1: Yeah, because number one, it was a seven to two 589 00:29:03,520 --> 00:29:06,400 Speaker 1: right down. Republicans controlled the Congression delegation seven to two. 590 00:29:07,000 --> 00:29:09,000 Speaker 1: They want to go from seven to two to nine 591 00:29:09,040 --> 00:29:13,560 Speaker 1: to zero. Really, there's old phrase, what pigs get fat 592 00:29:13,600 --> 00:29:14,560 Speaker 1: and hogs get slaughtered? 593 00:29:15,320 --> 00:29:16,880 Speaker 2: Do you think the left would have went nine zero? 594 00:29:19,440 --> 00:29:21,520 Speaker 2: They do a very good job of supporting each other 595 00:29:21,600 --> 00:29:24,160 Speaker 2: no matter what hat is in front right, whether it's 596 00:29:24,160 --> 00:29:27,240 Speaker 2: the LBGT crowd, whether it's the pro immigration crowd, whether 597 00:29:27,280 --> 00:29:29,760 Speaker 2: it's the pro choice crowd, they all seem to do 598 00:29:29,840 --> 00:29:32,440 Speaker 2: a good job of sticking together. And I think Republicans, 599 00:29:32,480 --> 00:29:35,840 Speaker 2: by nature, since we're basically all a bunch of independent people, 600 00:29:36,440 --> 00:29:38,680 Speaker 2: we don't really subscribe to group think, which is how 601 00:29:38,760 --> 00:29:39,480 Speaker 2: you get things. 602 00:29:39,320 --> 00:29:42,160 Speaker 1: Like this exactly. And the other part of that conversation too, 603 00:29:42,320 --> 00:29:46,760 Speaker 1: is if you got to run against me in a 604 00:29:46,800 --> 00:29:49,880 Speaker 1: primary and do a primary challenge, Okay, what did I 605 00:29:49,960 --> 00:29:52,480 Speaker 1: do that was so bad and so horrible from a 606 00:29:52,520 --> 00:29:54,360 Speaker 1: state center perspective that you want to get rid of me? 607 00:29:54,760 --> 00:29:55,600 Speaker 1: And they didn't have anything. 608 00:29:55,680 --> 00:29:58,480 Speaker 2: The answer is only you didn't support Trump side, Okay, 609 00:29:58,600 --> 00:29:59,480 Speaker 2: And yeah. 610 00:30:00,000 --> 00:30:03,920 Speaker 1: Next see there we go, folks. It is ten forty five. 611 00:30:04,160 --> 00:30:06,720 Speaker 1: I hear on ninety three dub baby. See it is 612 00:30:06,720 --> 00:30:08,880 Speaker 1: a duel. It is Jerry Lopez. We are in for 613 00:30:08,920 --> 00:30:11,400 Speaker 1: a Kendall in case today and we will be right back. 614 00:30:17,840 --> 00:30:18,320 Speaker 2: Alight. 615 00:30:24,440 --> 00:30:32,920 Speaker 1: Somebody's high strove sparks, somebody's cow one. 616 00:30:33,720 --> 00:30:40,280 Speaker 2: It's good. This sounds choose us. 617 00:30:43,200 --> 00:30:56,960 Speaker 1: Oh yeah, all right, it is good inside. Good morning, folks. 618 00:30:57,440 --> 00:31:04,240 Speaker 1: J oh, it's good to be here. God, I love you, Kevin. 619 00:31:05,760 --> 00:31:08,400 Speaker 1: You're making my day today. Oh. I love this stuff too, 620 00:31:12,040 --> 00:31:13,800 Speaker 1: all the stuff that's planned. When I was in my twenties, 621 00:31:13,800 --> 00:31:15,880 Speaker 1: when you were like in your threes and fours. 622 00:31:16,600 --> 00:31:19,440 Speaker 2: Yeah, I think that one I was negative one and 623 00:31:19,560 --> 00:31:20,200 Speaker 2: that came out. 624 00:31:21,400 --> 00:31:25,160 Speaker 1: Probably were just like probably two three weeks old, probably, yeah, 625 00:31:25,560 --> 00:31:26,240 Speaker 1: somewhere around that. 626 00:31:27,520 --> 00:31:27,600 Speaker 2: Now. 627 00:31:27,680 --> 00:31:29,280 Speaker 1: I was going to be here, folks, in as a duel. 628 00:31:29,600 --> 00:31:32,080 Speaker 1: It is Serry Lopez and for Kendall and Casey this 629 00:31:32,200 --> 00:31:35,120 Speaker 1: morning here on ninety three WIBC still a head. We'll 630 00:31:35,120 --> 00:31:38,360 Speaker 1: talk about say where's in event Claire basically say he's 631 00:31:38,360 --> 00:31:40,720 Speaker 1: going to leave the Party Republican down in New Albany. 632 00:31:41,080 --> 00:31:43,800 Speaker 1: I spoke to him this weekend, got story up at 633 00:31:44,120 --> 00:31:48,240 Speaker 1: Indie politics dot org where basically Claire said, no, that's it, 634 00:31:48,280 --> 00:31:50,560 Speaker 1: I'm done. I can't do it anymore. And so now 635 00:31:50,600 --> 00:31:52,960 Speaker 1: he's running for mayor of New Albany, but running as 636 00:31:53,000 --> 00:31:55,640 Speaker 1: an independent. But he hasn't necessarily dropped the R from 637 00:31:55,720 --> 00:32:01,520 Speaker 1: his name just yet, so that'll be interesting. Also, Uh, Antarctica. 638 00:32:01,680 --> 00:32:03,280 Speaker 1: I don't know why I'm on this Antarctica kick. 639 00:32:03,760 --> 00:32:04,720 Speaker 2: I don't know why either. 640 00:32:05,600 --> 00:32:07,360 Speaker 1: I know, you know, when snow could look like I 641 00:32:07,480 --> 00:32:08,560 Speaker 1: got the window, there's your snow. 642 00:32:09,240 --> 00:32:14,560 Speaker 2: That's already too much snow. So this guy's switching parties. 643 00:32:14,720 --> 00:32:16,960 Speaker 2: I mean, can he win as an independent? Because I 644 00:32:17,000 --> 00:32:19,520 Speaker 2: feel like whenever that happens, you get the money machine 645 00:32:19,960 --> 00:32:23,160 Speaker 2: that's still bank rolls the R or the D. Look 646 00:32:23,160 --> 00:32:25,720 Speaker 2: at look at Eric Adams, right he dropped the D. 647 00:32:26,120 --> 00:32:28,320 Speaker 2: He ran as as an independent. Didn't work out well. 648 00:32:29,360 --> 00:32:33,200 Speaker 1: I would argue, it depends on the type of race. 649 00:32:33,200 --> 00:32:34,960 Speaker 1: It's fun toybe I could be like a governor or 650 00:32:35,000 --> 00:32:37,960 Speaker 1: a US senator, or maybe a state rep being mayor, 651 00:32:38,480 --> 00:32:41,600 Speaker 1: I would argue, as a mayor of a municipality and indianda, 652 00:32:41,640 --> 00:32:43,600 Speaker 1: it's really no Republican or democratic way to run a city. 653 00:32:43,680 --> 00:32:44,960 Speaker 1: They know what you're doing, or you don't sure you 654 00:32:44,960 --> 00:32:48,120 Speaker 1: know plane it, you'd be suffink elm Suffinkum. You could 655 00:32:48,120 --> 00:32:51,080 Speaker 1: be Joe hawk Set, you could be you know, Brandon 656 00:32:51,120 --> 00:32:55,400 Speaker 1: Sackburn down in terror Hot what's his face U, Tom 657 00:32:55,440 --> 00:33:00,280 Speaker 1: McDermott up and up in Hammond, Indiana. But it's really 658 00:33:00,320 --> 00:33:02,280 Speaker 1: no Republican or Democratic way to run a city. You 659 00:33:02,320 --> 00:33:03,400 Speaker 1: know what you're doing or you don't. When I ran 660 00:33:03,440 --> 00:33:05,800 Speaker 1: for mayor in the primary a couple of years ago, 661 00:33:06,160 --> 00:33:07,880 Speaker 1: I ran as a Republican because that's what I voted for, 662 00:33:08,000 --> 00:33:10,640 Speaker 1: and primaries and the runers it depend you got to 663 00:33:10,640 --> 00:33:13,360 Speaker 1: go get signatures and the whole nine yards, and that 664 00:33:13,480 --> 00:33:15,440 Speaker 1: I wasn't going to go do. So he just run 665 00:33:15,440 --> 00:33:19,800 Speaker 1: as a Republican, even though I'm more of a I 666 00:33:19,960 --> 00:33:23,720 Speaker 1: wasn't more of a Dick Luger modern Republican type, a 667 00:33:23,800 --> 00:33:27,600 Speaker 1: Dick Luger, Mitch Daniels, George Herbert Walker Bush. What I 668 00:33:27,760 --> 00:33:30,880 Speaker 1: call the the low taxes, less government and leave your 669 00:33:30,920 --> 00:33:33,880 Speaker 1: private parts a loan. That's my political philosophy. I do 670 00:33:33,960 --> 00:33:37,120 Speaker 1: not apologize for it whatsoever. I realized the Republican partylies 671 00:33:37,160 --> 00:33:38,800 Speaker 1: naturally is in a different place where I am, and 672 00:33:38,880 --> 00:33:41,720 Speaker 1: that's that's fine. We're not going to give up my 673 00:33:41,920 --> 00:33:44,600 Speaker 1: identity because because somebody else is hijacked the part just 674 00:33:44,680 --> 00:33:47,239 Speaker 1: like by democratic friends right now they ov and by 675 00:33:47,360 --> 00:33:50,400 Speaker 1: crowd has been hijacked by the more progressive crowd. And 676 00:33:50,520 --> 00:33:52,640 Speaker 1: that that eighty percent of us that are in the middle, 677 00:33:52,880 --> 00:33:56,479 Speaker 1: you know, right, left, right and left of center, has 678 00:33:56,520 --> 00:33:59,080 Speaker 1: to deal with all the noise generated by the knuckleheads 679 00:33:59,280 --> 00:34:00,240 Speaker 1: that are so. 680 00:34:00,440 --> 00:34:02,920 Speaker 2: But we need the knuckleheads, you know why, because you 681 00:34:02,960 --> 00:34:04,640 Speaker 2: and I got to go to work. I'm not showing 682 00:34:04,720 --> 00:34:07,480 Speaker 2: up to the protest. I'm not right, So you have 683 00:34:07,680 --> 00:34:10,880 Speaker 2: to have those people on both sides. They're they're the 684 00:34:11,200 --> 00:34:11,960 Speaker 2: useful idiots. 685 00:34:12,680 --> 00:34:15,799 Speaker 1: Yes, they are that that that I agree, my friend, 686 00:34:16,239 --> 00:34:17,040 Speaker 1: let me shake your hands. 687 00:34:17,040 --> 00:34:19,399 Speaker 2: They're the useful idiots, right, and both sides have them. 688 00:34:19,480 --> 00:34:23,000 Speaker 2: Oh yeah, right, the far sides. I mean, they are there, 689 00:34:23,080 --> 00:34:25,600 Speaker 2: but I don't think either either party wants to get 690 00:34:25,719 --> 00:34:27,440 Speaker 2: rid of them because that's who makes the noise. And 691 00:34:27,520 --> 00:34:29,520 Speaker 2: like you said earlier, the noise is what you hear, 692 00:34:29,680 --> 00:34:30,439 Speaker 2: that's what you see. 693 00:34:30,719 --> 00:34:32,960 Speaker 1: Yeah. The trick is though, when those people show up 694 00:34:32,960 --> 00:34:37,239 Speaker 1: at primaries and conventions and actually what I will come back. 695 00:34:37,400 --> 00:34:39,920 Speaker 1: I'll take you my theory about so the far left 696 00:34:39,960 --> 00:34:43,239 Speaker 1: and far right in our primary process and in our 697 00:34:43,320 --> 00:34:45,920 Speaker 1: convention process. I have a theory on how to deal 698 00:34:45,960 --> 00:34:49,040 Speaker 1: with that, because part of our political polarization, in my opinion, 699 00:34:49,120 --> 00:34:51,600 Speaker 1: comes from the fact that we have primaries and conventions 700 00:34:51,640 --> 00:34:54,080 Speaker 1: and who shows up and the whole nine yards and 701 00:34:54,080 --> 00:34:56,480 Speaker 1: it's ten fifty six is aubdual Terry Lopaz and for 702 00:34:56,560 --> 00:34:58,000 Speaker 1: Kendle and case, we'll be right back