1 00:00:00,080 --> 00:00:01,720 Speaker 1: We're going to play this clip with this guy at 2 00:00:01,720 --> 00:00:04,440 Speaker 1: the Morgan County I think it was the Planning. 3 00:00:04,200 --> 00:00:05,960 Speaker 2: Commission, Yeah, the Zoning Commission. 4 00:00:06,080 --> 00:00:10,400 Speaker 1: Yeah, this is great stuff. So we had mentioned everybody 5 00:00:10,400 --> 00:00:14,440 Speaker 1: needs to wake up on this stuff because these data 6 00:00:14,480 --> 00:00:17,840 Speaker 1: centers are not stopping. And you know, we told you 7 00:00:17,920 --> 00:00:20,959 Speaker 1: during the brief little reprieve that we had, which it 8 00:00:21,000 --> 00:00:25,000 Speaker 1: was great, but when the data center in Franklin Township 9 00:00:25,600 --> 00:00:27,920 Speaker 1: went down, the Google data center, we said, look, this 10 00:00:27,960 --> 00:00:31,280 Speaker 1: is momentary. These people will come back. They're not done, 11 00:00:31,440 --> 00:00:33,040 Speaker 1: and they're still going to keep trying to go all 12 00:00:33,080 --> 00:00:35,200 Speaker 1: over the rest of the state of Indiana. And people 13 00:00:35,240 --> 00:00:38,000 Speaker 1: have got to get hyper vigilant about these data centers 14 00:00:38,400 --> 00:00:41,720 Speaker 1: because they're targeting rural areas too, and for some reason 15 00:00:42,080 --> 00:00:47,080 Speaker 1: beyond my understanding, they're getting traction not from the people 16 00:00:47,760 --> 00:00:52,720 Speaker 1: but from these city and town and county governments without 17 00:00:52,880 --> 00:00:56,160 Speaker 1: really any sort of disclosure, the most basic of disclosure, 18 00:00:56,800 --> 00:01:00,080 Speaker 1: not only just on the financial impact, but even who the. 19 00:01:00,120 --> 00:01:02,920 Speaker 2: People are who wants to put the data center there. 20 00:01:03,160 --> 00:01:05,119 Speaker 3: I think that's the craziest thing. 21 00:01:05,160 --> 00:01:07,520 Speaker 1: So this one in Monrovia, the Morgan County one, we've 22 00:01:07,520 --> 00:01:13,039 Speaker 1: had the people on this program before they have sort 23 00:01:13,080 --> 00:01:16,000 Speaker 1: of pieced together it to another Google data center. But 24 00:01:16,080 --> 00:01:21,319 Speaker 1: there's never been any official public acknowledgment, either from the 25 00:01:21,360 --> 00:01:24,880 Speaker 1: government or the people themselves on who they even are. 26 00:01:25,600 --> 00:01:26,479 Speaker 3: Think about that. 27 00:01:26,440 --> 00:01:29,120 Speaker 4: You would think that the Morgan County Zoning Commission would 28 00:01:29,120 --> 00:01:32,880 Speaker 4: know who they're zoning for, right or look at. 29 00:01:32,840 --> 00:01:37,720 Speaker 1: I would just say this candidly that if you if 30 00:01:37,720 --> 00:01:39,160 Speaker 1: you're not gonna tell me who you are, I'm not 31 00:01:39,200 --> 00:01:41,960 Speaker 1: approving your thing because some of the things you have 32 00:01:42,000 --> 00:01:46,160 Speaker 1: to think about are impacts on property values, et cetera, 33 00:01:46,880 --> 00:01:51,560 Speaker 1: and I would never approve something on those things. You're 34 00:01:51,560 --> 00:01:56,040 Speaker 1: supposed to have to factor in without knowing who the 35 00:01:56,080 --> 00:01:58,280 Speaker 1: person is so that you can make that sort of 36 00:01:58,400 --> 00:02:03,600 Speaker 1: judgment call. So you have the deck totally stacked. Now, 37 00:02:04,040 --> 00:02:06,760 Speaker 1: this is why people hate their government. It's not that 38 00:02:07,120 --> 00:02:09,679 Speaker 1: you know bad choices get made, that's its own thing. 39 00:02:10,360 --> 00:02:13,760 Speaker 1: But you have the deck totally The public perceives the 40 00:02:13,800 --> 00:02:20,400 Speaker 1: deck is being totally stacked against themselves to where you 41 00:02:20,440 --> 00:02:23,200 Speaker 1: don't get to know who the person is. Just went 42 00:02:23,200 --> 00:02:25,399 Speaker 1: through this in my own community, where they won't tell 43 00:02:25,400 --> 00:02:28,040 Speaker 1: me what the economic development incentives were to bring the 44 00:02:28,040 --> 00:02:34,239 Speaker 1: HarperCollins people to Brownsburg Project you're hiding information. Information is 45 00:02:34,280 --> 00:02:37,679 Speaker 1: being deliberately kept from the public. That isn't some gotcha thing. 46 00:02:38,440 --> 00:02:41,639 Speaker 1: We have a right to know who's coming into our communities, 47 00:02:42,320 --> 00:02:44,120 Speaker 1: and we have a right to know what we're paying 48 00:02:44,200 --> 00:02:48,360 Speaker 1: to bring them there, and yet our state government be 49 00:02:48,480 --> 00:02:53,480 Speaker 1: hiding behind this quasi shadow government iedc. Anytime they get involved, 50 00:02:53,480 --> 00:02:56,720 Speaker 1: they can just go, eh, Nope, too bad, no way, 51 00:02:57,040 --> 00:02:59,240 Speaker 1: not happening, and you just have to sit there and 52 00:02:59,280 --> 00:03:03,160 Speaker 1: eat it. And this dude at this meeting who's speaking 53 00:03:03,160 --> 00:03:06,560 Speaker 1: out about this, he had had enough. And everybody needs 54 00:03:06,560 --> 00:03:08,360 Speaker 1: to listen to this guy, because this is how you 55 00:03:08,440 --> 00:03:11,840 Speaker 1: need to respond when these things pop up in your community. 56 00:03:12,200 --> 00:03:15,600 Speaker 1: Enough playing nice with these people. You can't play nice 57 00:03:15,600 --> 00:03:17,959 Speaker 1: with them anymore because they're sure not playing fair with you. 58 00:03:18,360 --> 00:03:18,919 Speaker 3: Listen to this. 59 00:03:19,400 --> 00:03:24,840 Speaker 1: The second thing I want to know is this, who's 60 00:03:24,880 --> 00:03:26,400 Speaker 1: actually buying this lamb? 61 00:03:27,120 --> 00:03:27,360 Speaker 2: Sir? 62 00:03:28,880 --> 00:03:31,760 Speaker 3: I'm asking you. You know the answer, but you won't 63 00:03:31,800 --> 00:03:35,560 Speaker 3: give it to us. William, you know you. 64 00:03:35,440 --> 00:03:39,360 Speaker 1: Say it's a data center, but they blocked that out 65 00:03:39,400 --> 00:03:40,360 Speaker 1: on Google. 66 00:03:40,240 --> 00:03:41,320 Speaker 3: Need address us. 67 00:03:43,080 --> 00:03:46,600 Speaker 1: I asked him, He's the one that knows the answer, 68 00:03:46,640 --> 00:03:48,240 Speaker 1: not you. 69 00:03:47,600 --> 00:03:48,480 Speaker 2: I know, but you're talking. 70 00:03:48,520 --> 00:03:52,240 Speaker 3: He knows the answer, not you. Sir, we have a 71 00:03:52,400 --> 00:03:57,600 Speaker 3: right to know who's actually buying this. Now, Calm down, 72 00:03:57,720 --> 00:04:00,440 Speaker 3: Calm down, sir. I want to know you and you're time. 73 00:04:00,560 --> 00:04:02,640 Speaker 3: Calm down there, you're drinking by time. You're going to 74 00:04:02,640 --> 00:04:03,400 Speaker 3: give him back to me? 75 00:04:04,040 --> 00:04:05,560 Speaker 1: No, but we're shut up. 76 00:04:07,240 --> 00:04:09,080 Speaker 3: Sit down, sir, No, sit down. 77 00:04:09,200 --> 00:04:11,320 Speaker 1: I want to know who the company is it's going 78 00:04:11,400 --> 00:04:12,440 Speaker 1: to take this properly. 79 00:04:13,040 --> 00:04:16,760 Speaker 3: Who's the owner? Come on, sir, who's the owner? Don't 80 00:04:16,760 --> 00:04:18,719 Speaker 3: want to tell us? Good you the cops you don't 81 00:04:18,720 --> 00:04:19,560 Speaker 3: want to tell us. 82 00:04:19,400 --> 00:04:20,000 Speaker 2: Either, do you? 83 00:04:21,600 --> 00:04:25,560 Speaker 3: And they basically removed the guy from you be civil here? Yeah? 84 00:04:25,680 --> 00:04:27,560 Speaker 1: Okay, So a couple things on this as someone who 85 00:04:27,600 --> 00:04:31,760 Speaker 1: once had the cops weaponized on me for merely asking 86 00:04:31,760 --> 00:04:33,719 Speaker 1: in a public meeting, how does an item get on 87 00:04:33,760 --> 00:04:39,159 Speaker 1: the agenda? And then, of course, famously, the cop that 88 00:04:39,200 --> 00:04:40,400 Speaker 1: removed me had no idea what was going on. 89 00:04:40,480 --> 00:04:41,360 Speaker 3: He's like, what's happening? 90 00:04:41,400 --> 00:04:41,920 Speaker 2: And I told him. 91 00:04:41,960 --> 00:04:43,400 Speaker 3: He goes, no, that can't be it. And then the 92 00:04:43,480 --> 00:04:43,800 Speaker 3: chief of. 93 00:04:43,760 --> 00:04:45,719 Speaker 1: Police came out was like, yeah, that's that's it, and 94 00:04:45,760 --> 00:04:47,480 Speaker 1: they were like, he goes, We'll go back in there 95 00:04:47,480 --> 00:04:50,440 Speaker 1: and ask him again. Shouldn't you know before you remove 96 00:04:50,520 --> 00:04:54,400 Speaker 1: somebody from a building. What's going on anyway? That that 97 00:04:54,520 --> 00:04:56,880 Speaker 1: is this guy was doing nothing to have the cops 98 00:04:57,400 --> 00:04:58,400 Speaker 1: weaponized on him. 99 00:04:58,400 --> 00:05:01,200 Speaker 3: He wasn't a threat to anybody. He was you know, and. 100 00:05:02,720 --> 00:05:07,640 Speaker 1: You're an elected official, and you're you should be the 101 00:05:07,640 --> 00:05:10,159 Speaker 1: one barking at the guy. I'm doing the presentation and 102 00:05:10,200 --> 00:05:13,719 Speaker 1: saying sir, I will not vote for anything until I 103 00:05:13,800 --> 00:05:18,240 Speaker 1: know who you're representing. That guy shouldn't have to do it. 104 00:05:18,800 --> 00:05:22,760 Speaker 1: The government, the elected and appointed people, should be the 105 00:05:22,800 --> 00:05:27,200 Speaker 1: ones doing it. You tell us who you are, You 106 00:05:27,320 --> 00:05:29,800 Speaker 1: tell us who you're with, You tell us what you 107 00:05:29,839 --> 00:05:33,520 Speaker 1: want to do. We as a community have a right 108 00:05:33,600 --> 00:05:35,520 Speaker 1: to know these things so that we can make an 109 00:05:35,520 --> 00:05:38,520 Speaker 1: informed decision on how it may impact us. Because everybody 110 00:05:38,560 --> 00:05:41,240 Speaker 1: who says, well, well, people have the right to sell 111 00:05:41,279 --> 00:05:45,599 Speaker 1: their land, they do. However, one of the caveats of 112 00:05:45,640 --> 00:05:49,200 Speaker 1: living in a decent society is you can't put a 113 00:05:49,279 --> 00:05:51,800 Speaker 1: nuclear plant unless it's in sim. 114 00:05:51,560 --> 00:05:54,360 Speaker 2: City next to a playground. 115 00:05:54,400 --> 00:05:55,280 Speaker 3: That's how my wife does. 116 00:05:55,240 --> 00:05:57,040 Speaker 1: When she gives up on the game, she puts the 117 00:05:57,080 --> 00:06:02,080 Speaker 1: nuclear plant next to develop. You can't put a nuclear 118 00:06:02,120 --> 00:06:04,080 Speaker 1: plant next to a housing development. There have to be 119 00:06:04,120 --> 00:06:07,240 Speaker 1: some rules, there have to be some regulations, and part 120 00:06:07,240 --> 00:06:09,599 Speaker 1: of that is to protect the value of the people 121 00:06:09,600 --> 00:06:12,880 Speaker 1: who are already living there. And so when we do that, 122 00:06:13,360 --> 00:06:16,960 Speaker 1: we say, hey, the community has some voice. Now if 123 00:06:17,000 --> 00:06:20,000 Speaker 1: something zoned for something m h, then you really and 124 00:06:20,080 --> 00:06:22,039 Speaker 1: it fits the zoning requirement that I'm sorry, you don't 125 00:06:22,040 --> 00:06:26,599 Speaker 1: have much of a say. But if there you're coming 126 00:06:26,600 --> 00:06:29,039 Speaker 1: to the community asking for them to make changes on 127 00:06:29,160 --> 00:06:32,480 Speaker 1: already agreed upon land usage, then I'm sorry. 128 00:06:32,200 --> 00:06:33,160 Speaker 3: You do have a say. 129 00:06:33,240 --> 00:06:35,120 Speaker 1: The community does have a say, and part of that 130 00:06:35,160 --> 00:06:37,119 Speaker 1: should be they get to know what it is before 131 00:06:37,120 --> 00:06:37,599 Speaker 1: a vote. 132 00:06:37,640 --> 00:06:38,839 Speaker 2: Well, consider this. 133 00:06:38,839 --> 00:06:42,599 Speaker 4: This report just came out from Bloomberg and it's talking 134 00:06:42,640 --> 00:06:46,440 Speaker 4: about the electricity prices, how they're rising across the United States, 135 00:06:47,040 --> 00:06:50,480 Speaker 4: but much faster near data centers. They said, in data 136 00:06:50,480 --> 00:06:55,240 Speaker 4: center hotspots, wholesale electricity prices have increased up to six 137 00:06:55,360 --> 00:06:57,560 Speaker 4: two hundred and sixty seven percent. 138 00:06:58,000 --> 00:07:01,119 Speaker 1: And this is why when I hear and see Braun 139 00:07:01,160 --> 00:07:05,719 Speaker 1: do these crocodile tiers the governor over the rising utility costs, 140 00:07:05,839 --> 00:07:09,080 Speaker 1: I say, Uh, if you actually cared about utility costs, 141 00:07:09,120 --> 00:07:13,120 Speaker 1: you'd be doing things to actually ensure that utility costs 142 00:07:13,120 --> 00:07:17,560 Speaker 1: don't skyrocket, which is one instructing your iedc not to 143 00:07:17,560 --> 00:07:20,320 Speaker 1: give hundreds of millions of dollars in incentives to these 144 00:07:20,400 --> 00:07:24,040 Speaker 1: data centers and start making these people play out in 145 00:07:24,080 --> 00:07:28,160 Speaker 1: the sunshine and not hide behind your quasi shadow government entity. 146 00:07:28,200 --> 00:07:29,560 Speaker 1: Mister Braun, Right. 147 00:07:29,720 --> 00:07:31,920 Speaker 4: If the electricity prices are going to raise two hundred 148 00:07:31,920 --> 00:07:34,360 Speaker 4: and sixty seven percent, at least tell us who's doing it. 149 00:07:35,040 --> 00:07:38,040 Speaker 1: Here's one of the things that you've really put together 150 00:07:38,800 --> 00:07:41,720 Speaker 1: out of all the stuff that's been written by the 151 00:07:41,760 --> 00:07:45,760 Speaker 1: IEDC about the IEDC, and it's been hard and people 152 00:07:45,800 --> 00:07:47,880 Speaker 1: like the Capitol Chronicle of done a phenomenal job, The 153 00:07:47,880 --> 00:07:51,760 Speaker 1: Indie Star have done a phenomenal job. They deliberately, they 154 00:07:51,840 --> 00:07:56,000 Speaker 1: being the IDC, structured this thing to make information hard, right, 155 00:07:57,280 --> 00:07:59,880 Speaker 1: because they knew if information was hard to get, fewer. 156 00:07:59,640 --> 00:08:02,160 Speaker 2: People would get it or give up. 157 00:08:02,640 --> 00:08:03,280 Speaker 3: That's what I'm saying. 158 00:08:03,280 --> 00:08:05,560 Speaker 1: People would, they would, they would, Fewer people would get 159 00:08:05,560 --> 00:08:07,960 Speaker 1: the information because they knew what they're doing is not 160 00:08:08,160 --> 00:08:11,200 Speaker 1: on the level. And the legislature knows what the IDC 161 00:08:11,400 --> 00:08:13,840 Speaker 1: is doing is not on the level. That's not how 162 00:08:14,800 --> 00:08:18,280 Speaker 1: good government should operate. And they knew that if they 163 00:08:18,280 --> 00:08:21,440 Speaker 1: had to operate in the frame work of good of 164 00:08:21,560 --> 00:08:24,600 Speaker 1: good regular government, that a lot of the stuff would 165 00:08:24,640 --> 00:08:27,320 Speaker 1: go down and they wanted this. The reality is they 166 00:08:27,360 --> 00:08:30,800 Speaker 1: wanted the IDC to be this slush fund for pet 167 00:08:30,840 --> 00:08:33,559 Speaker 1: projects for connected people. That's what came out in that 168 00:08:33,679 --> 00:08:36,079 Speaker 1: article last week that Kayla Dwyer and Haley Colombo did 169 00:08:36,080 --> 00:08:39,000 Speaker 1: in The Indie Star. The IDC is basically just a 170 00:08:39,080 --> 00:08:43,400 Speaker 1: giant money laundering operation and is also used as a 171 00:08:43,440 --> 00:08:48,000 Speaker 1: slush fund to benefit the interests of hyper powerful, hyper 172 00:08:48,000 --> 00:08:48,880 Speaker 1: connected people. 173 00:08:50,720 --> 00:08:52,400 Speaker 4: I want to go back to something that was in 174 00:08:52,440 --> 00:08:55,400 Speaker 4: this article about these data centers. They say that there's 175 00:08:56,360 --> 00:09:00,720 Speaker 4: clearly aging infrastructure. Some of these grids were built fifty 176 00:09:00,800 --> 00:09:05,680 Speaker 4: sixty years ago and they're struggling to handle the modern demands, 177 00:09:06,040 --> 00:09:10,400 Speaker 4: and they lack real time monitoring. In some instances, they 178 00:09:10,440 --> 00:09:13,400 Speaker 4: can't even keep up to determine how much electricity these 179 00:09:13,480 --> 00:09:14,600 Speaker 4: data centers are using. 180 00:09:15,120 --> 00:09:15,960 Speaker 3: Yeah, two things. 181 00:09:16,400 --> 00:09:19,760 Speaker 1: The person who's probably actually done the most now he 182 00:09:19,840 --> 00:09:22,800 Speaker 1: operates in a different framework, but revealed the most about 183 00:09:22,800 --> 00:09:26,160 Speaker 1: the IDC. It's probably Steven with the Indie Reporter, Like, 184 00:09:26,200 --> 00:09:28,439 Speaker 1: if you are not following that account, you totally should 185 00:09:28,480 --> 00:09:31,840 Speaker 1: at Indie Underscore Reporter Underscore because he just lives in 186 00:09:31,920 --> 00:09:35,480 Speaker 1: that stuff. Now, you know, the Star and the Capitol Chronicle. 187 00:09:35,640 --> 00:09:36,920 Speaker 1: They've done a lot of work on it, but they 188 00:09:37,000 --> 00:09:39,240 Speaker 1: go to cover other stories, et cetera. And he is 189 00:09:39,520 --> 00:09:42,800 Speaker 1: he has revealed more on these documents than probably anybody. 190 00:09:43,240 --> 00:09:45,120 Speaker 1: But the other part of this is, and I will 191 00:09:45,120 --> 00:09:48,840 Speaker 1: never forget this. When I got elected, all these big planning, 192 00:09:48,920 --> 00:09:51,400 Speaker 1: these road projects, cut tags and blah blah blah. And 193 00:09:52,480 --> 00:09:56,120 Speaker 1: a guy who was on the board pulled me aside 194 00:09:56,160 --> 00:09:58,960 Speaker 1: and goes, you know, you got a lot of interesting ideas, 195 00:09:59,360 --> 00:10:00,720 Speaker 1: and some of them are going do a lot of good. 196 00:10:01,240 --> 00:10:03,680 Speaker 1: But he said, what you're gonna find is the most 197 00:10:03,720 --> 00:10:06,800 Speaker 1: important things you'll do are the most boring because you're 198 00:10:06,840 --> 00:10:10,840 Speaker 1: not going to get any headlines for them. And I said, well, 199 00:10:10,880 --> 00:10:13,840 Speaker 1: what do you mean there, grandpa? And he said, things 200 00:10:13,880 --> 00:10:16,360 Speaker 1: that are most important to people's basic lives, they don't 201 00:10:16,360 --> 00:10:19,200 Speaker 1: even think about them because they always work. Toilets flush 202 00:10:20,120 --> 00:10:22,880 Speaker 1: water comes out of the faucet. In this case, we're 203 00:10:22,880 --> 00:10:25,600 Speaker 1: talking about electricity. Like that when you flip the light 204 00:10:25,640 --> 00:10:27,880 Speaker 1: switch on that the light comes up, it's there. Imagine 205 00:10:27,920 --> 00:10:29,760 Speaker 1: living in a society where you flip the light switch 206 00:10:29,760 --> 00:10:31,520 Speaker 1: and the light doesn't come on. Imagine living in a 207 00:10:31,559 --> 00:10:33,880 Speaker 1: society where it's one hundred degrees outside and your air 208 00:10:33,920 --> 00:10:37,480 Speaker 1: conditioning isn't working. Those are things you never think about, 209 00:10:37,600 --> 00:10:40,280 Speaker 1: but the government actually plays a vital role in ensuring 210 00:10:40,400 --> 00:10:42,760 Speaker 1: and right now they're not doing No, they're not doing 211 00:10:42,840 --> 00:10:43,439 Speaker 1: a very good job. 212 00:10:43,440 --> 00:10:45,000 Speaker 3: They're doing a horrible job with it. 213 00:10:45,120 --> 00:10:47,360 Speaker 1: And we're starting to reach what could be a crisis point, 214 00:10:47,840 --> 00:10:49,920 Speaker 1: or there is going to come a day we're during 215 00:10:49,960 --> 00:10:51,880 Speaker 1: certain periods of time, you ain't gonna be able to 216 00:10:51,880 --> 00:10:52,760 Speaker 1: turn your lights. 217 00:10:52,480 --> 00:10:53,920 Speaker 2: On, rolling black out, You're life. 218 00:10:54,200 --> 00:10:56,720 Speaker 1: This has happened in other parts of our country, and 219 00:10:56,800 --> 00:11:00,280 Speaker 1: we are just sitting here twiddling our thumbs, continue to 220 00:11:00,320 --> 00:11:03,120 Speaker 1: approve the very stuff that is going to While it 221 00:11:03,160 --> 00:11:06,240 Speaker 1: may not directly cause it on its own, it will 222 00:11:06,240 --> 00:11:09,680 Speaker 1: certainly accelerate those sort of things happening. And you're telling 223 00:11:09,760 --> 00:11:11,920 Speaker 1: me that in the middle of the day of push 224 00:11:11,960 --> 00:11:14,199 Speaker 1: comes to shove, the government's going to tell Google, hey man, 225 00:11:14,200 --> 00:11:16,160 Speaker 1: you got to shut down for a few hours so 226 00:11:16,200 --> 00:11:19,520 Speaker 1: that Harold can turn his lights on. No, no, you'll 227 00:11:19,559 --> 00:11:21,920 Speaker 1: be the one without air conditioning. You'll be the one 228 00:11:21,960 --> 00:11:24,359 Speaker 1: without lights, You'll be the one without electricity. 229 00:11:24,600 --> 00:11:28,000 Speaker 4: And if these are national security concerns, shouldn't the federal 230 00:11:28,040 --> 00:11:30,840 Speaker 4: government be stepping in well, they're really your money. 231 00:11:31,120 --> 00:11:35,480 Speaker 3: There is no plan. That's the problem. There is no plan. Look, 232 00:11:35,559 --> 00:11:38,320 Speaker 3: you don't. You don't as a business have. 233 00:11:38,280 --> 00:11:42,080 Speaker 1: A right to be wherever you want to be, especially 234 00:11:42,160 --> 00:11:45,360 Speaker 1: if you are a drain on the public. And what 235 00:11:45,720 --> 00:11:48,120 Speaker 1: businesses have gotten really good at in Indiana, they have 236 00:11:48,240 --> 00:11:53,600 Speaker 1: recognized that, no pun intended, our state government is open 237 00:11:53,640 --> 00:11:56,240 Speaker 1: for business. If you're a business, especially if you're a 238 00:11:56,280 --> 00:11:58,679 Speaker 1: big business. Now if you're a rank and file human being, 239 00:11:58,720 --> 00:12:02,000 Speaker 1: they hate you. Look at the policies of our government 240 00:12:02,000 --> 00:12:05,400 Speaker 1: here in the state of Indiana over the past really 241 00:12:05,520 --> 00:12:09,080 Speaker 1: ten years, and you tell me they're not one hundred 242 00:12:09,120 --> 00:12:12,400 Speaker 1: percent rigged in favor of big business and mega corporations. 243 00:12:12,520 --> 00:12:15,439 Speaker 1: All the tax cuts, all the tax and centives big business, 244 00:12:15,440 --> 00:12:21,000 Speaker 1: big corporations, all of the way they're structuring these things 245 00:12:21,040 --> 00:12:24,000 Speaker 1: to be able to operate through the IDC at center, 246 00:12:24,040 --> 00:12:26,040 Speaker 1: to hide them from communities, big business. 247 00:12:26,920 --> 00:12:27,360 Speaker 3: And so. 248 00:12:29,040 --> 00:12:31,360 Speaker 1: It is time for the people to start sending a 249 00:12:31,440 --> 00:12:36,760 Speaker 1: message to any of these corporations, whether they're warehouses, whether 250 00:12:36,760 --> 00:12:40,240 Speaker 1: they're data centers, whatever, you don't have a right to 251 00:12:40,280 --> 00:12:42,880 Speaker 1: be here. It is a privilege to be in our community. 252 00:12:43,160 --> 00:12:45,360 Speaker 1: We have rights as well. We don't have to roll 253 00:12:45,400 --> 00:12:47,080 Speaker 1: over and play dead just because you want to be here. 254 00:12:47,120 --> 00:12:49,120 Speaker 1: And we don't give a damn about your ribbon cutting 255 00:12:49,160 --> 00:12:51,760 Speaker 1: or your headlines. We were here first. We have a 256 00:12:51,800 --> 00:12:54,120 Speaker 1: right to exist, and you have to prove to us 257 00:12:54,559 --> 00:12:55,640 Speaker 1: that you deserve to be here. 258 00:12:55,720 --> 00:12:58,280 Speaker 2: I think the bare minimum would be knowing who it is. 259 00:12:58,800 --> 00:13:00,439 Speaker 3: Right, But they no. 260 00:13:01,000 --> 00:13:04,920 Speaker 1: The IEDC knows that almost everything they get involved in 261 00:13:04,920 --> 00:13:08,840 Speaker 1: involves some level of shenanigans and the things that if 262 00:13:08,840 --> 00:13:10,800 Speaker 1: the people found out, the public found out what they 263 00:13:10,800 --> 00:13:13,160 Speaker 1: were actually doing, they'd be outraged, so they can't operate 264 00:13:13,200 --> 00:13:16,640 Speaker 1: in the sunshine. Look, there are some places where the 265 00:13:16,640 --> 00:13:18,959 Speaker 1: public is getting mad. We saw in Franklin Township. We're 266 00:13:18,960 --> 00:13:22,000 Speaker 1: seeing him on Rovia. Everywhere hearing my voice right now 267 00:13:22,200 --> 00:13:25,240 Speaker 1: needs to be mad. Everywhere hearing my voice needs to 268 00:13:25,240 --> 00:13:28,400 Speaker 1: be pissed off. Everywhere near it needs to get engaged 269 00:13:28,440 --> 00:13:30,840 Speaker 1: because if they don't, they're gonna take everything from you, 270 00:13:30,880 --> 00:13:33,360 Speaker 1: including your ability to turn on your lights. 271 00:13:33,679 --> 00:13:36,800 Speaker 4: You're listening to Kennel and Case it's ninety three WIBC 272 00:13:41,480 --> 00:13:45,840 Speaker 4: stand around round. 273 00:13:46,679 --> 00:13:49,600 Speaker 1: I cannot believe this WNBA commissioner actually said this about 274 00:13:49,640 --> 00:13:53,839 Speaker 1: Kaitlin Clark. I mean they have just so remember when 275 00:13:53,880 --> 00:13:58,680 Speaker 1: Caitlin Clark got drafted got drafted by the Fever, I said, look, realistically, 276 00:13:58,760 --> 00:14:01,280 Speaker 1: you have a three you have a three to five 277 00:14:01,400 --> 00:14:04,680 Speaker 1: year window for this thing to work. Because if you 278 00:14:04,720 --> 00:14:08,960 Speaker 1: look at the history of niche sports and the height 279 00:14:09,040 --> 00:14:13,920 Speaker 1: of their popularity, whether it's boxing with Mike Tyson, the 280 00:14:14,280 --> 00:14:16,760 Speaker 1: professional hockey, when Wayne Gretzky came to North America and 281 00:14:16,760 --> 00:14:20,920 Speaker 1: played for the Los Angeles Kings Tiger Woods, although his 282 00:14:21,120 --> 00:14:25,160 Speaker 1: was a little bit more prolonged, just because golf had 283 00:14:25,200 --> 00:14:29,120 Speaker 1: more of a mainstream history than the other sports. But 284 00:14:29,160 --> 00:14:32,080 Speaker 1: if you look at you know, Pelea with soccer, there 285 00:14:32,160 --> 00:14:35,880 Speaker 1: is a it's just human instinct. Right, there's this new thing, 286 00:14:36,000 --> 00:14:41,120 Speaker 1: it's super interesting. There's this individual who just excels at it, right, 287 00:14:41,160 --> 00:14:44,120 Speaker 1: electrifize people. People haven't been paying attention to it before, 288 00:14:44,160 --> 00:14:48,120 Speaker 1: so it's this new shiny object and they pay attention 289 00:14:48,240 --> 00:14:50,760 Speaker 1: to it for a while. I mean the case of hockey, 290 00:14:50,760 --> 00:14:53,160 Speaker 1: it became so popular they made the Mighty Ducks franchise 291 00:14:53,480 --> 00:14:55,600 Speaker 1: out of it, and you know, Hockey's reverted back, and 292 00:14:55,640 --> 00:15:00,160 Speaker 1: as is boxing and golf, and people just they they 293 00:15:00,200 --> 00:15:02,000 Speaker 1: go back to what they know. They move on from 294 00:15:02,040 --> 00:15:03,840 Speaker 1: something I've seen it. You know, I didn't grow up 295 00:15:03,880 --> 00:15:07,000 Speaker 1: with this. It's not ingrained in me. And so I said, realistically, 296 00:15:07,040 --> 00:15:11,400 Speaker 1: you look at the recording of sports history. The WNBA 297 00:15:11,560 --> 00:15:14,400 Speaker 1: had about three to five years to capitalize on the 298 00:15:14,480 --> 00:15:18,440 Speaker 1: Caitlin Clark phenomenon to try to grow or at least 299 00:15:18,440 --> 00:15:19,280 Speaker 1: make some level. 300 00:15:19,320 --> 00:15:22,480 Speaker 3: I mean, look at these look at golf. 301 00:15:22,760 --> 00:15:25,680 Speaker 1: While there are not as many people watching at the 302 00:15:25,720 --> 00:15:29,800 Speaker 1: time of Tiger, they have made it a profit monster. 303 00:15:30,400 --> 00:15:32,720 Speaker 1: They have the corporations and everything they got into it. 304 00:15:32,760 --> 00:15:38,040 Speaker 1: So they capitalized from a money perspective on on the 305 00:15:38,040 --> 00:15:41,200 Speaker 1: game of golf, on the Tiger popularity. So while if 306 00:15:41,200 --> 00:15:45,280 Speaker 1: you're the WNBA, even if the popularity wanes, get your 307 00:15:45,320 --> 00:15:47,760 Speaker 1: sponsorship deals, get all your things in place, make your 308 00:15:47,800 --> 00:15:51,080 Speaker 1: money off of this merch And they have blown this 309 00:15:51,200 --> 00:15:53,360 Speaker 1: thing at every possible corner. 310 00:15:53,440 --> 00:15:54,520 Speaker 2: Casey, Well, by. 311 00:15:54,360 --> 00:15:56,440 Speaker 4: The way, the Fever loss last night one O seven 312 00:15:56,480 --> 00:15:59,640 Speaker 4: to ninety eight. But here's what happened in Minnesota Lynks players. 313 00:15:59,680 --> 00:16:02,760 Speaker 4: She's all so the vice president of the WNBA Player Association, 314 00:16:02,880 --> 00:16:07,440 Speaker 4: she's being critical of the commissioner of the WNBA and 315 00:16:07,720 --> 00:16:12,280 Speaker 4: this player. She called Engelbert the worst leadership in the world. 316 00:16:12,320 --> 00:16:15,120 Speaker 1: That is the commissioner of the WUM comissioner of the WBA, 317 00:16:15,160 --> 00:16:20,480 Speaker 1: Albert because she came out and basically insinuated that Caitlin 318 00:16:20,520 --> 00:16:24,360 Speaker 1: Clark is making sixteen million dollars on sponsorship deals and 319 00:16:24,400 --> 00:16:27,800 Speaker 1: she's lucky she has the WNBA because she wouldn't be 320 00:16:27,840 --> 00:16:29,600 Speaker 1: making the money without the WNBA. 321 00:16:29,720 --> 00:16:32,080 Speaker 4: Yeah, she said, Caitlyn should be grateful she makes sixteen 322 00:16:32,120 --> 00:16:35,920 Speaker 4: million off the court. Without the WNBA platform, she wouldn't 323 00:16:35,920 --> 00:16:37,160 Speaker 4: make anything. 324 00:16:36,920 --> 00:16:40,120 Speaker 1: Which is utterly ridiculous given that it is an ice 325 00:16:40,240 --> 00:16:43,800 Speaker 1: cube that has the three on three league or whatever 326 00:16:43,800 --> 00:16:45,320 Speaker 1: that is that he tried to get her to go 327 00:16:45,840 --> 00:16:49,840 Speaker 1: to and they offered her a gajillion dollars to go 328 00:16:49,920 --> 00:16:53,280 Speaker 1: play in that thing. And so at every turn, whether 329 00:16:53,320 --> 00:16:57,560 Speaker 1: it's jealousy from the players or just disdain apparently from 330 00:16:57,680 --> 00:17:02,080 Speaker 1: the management of the league, they have totally batched the 331 00:17:02,160 --> 00:17:05,639 Speaker 1: Caitlin Clark experiment. And now the major problem they've got, Like, 332 00:17:07,040 --> 00:17:09,600 Speaker 1: I know that there was some local news coverage of 333 00:17:09,600 --> 00:17:14,879 Speaker 1: the Fever playing, but did you see any headlines any 334 00:17:15,080 --> 00:17:19,240 Speaker 1: like front page news Fever in go to Game five? 335 00:17:19,280 --> 00:17:23,000 Speaker 1: I mean, I got mentioned. But regular season games with 336 00:17:23,119 --> 00:17:25,840 Speaker 1: Caitlin Clark were infinitely more publicized. 337 00:17:25,880 --> 00:17:27,520 Speaker 2: Klan Clark was out than their. 338 00:17:27,359 --> 00:17:30,560 Speaker 1: Playoff games, like they were one step away from the finals, right, yes, 339 00:17:30,720 --> 00:17:33,400 Speaker 1: and you didn't hear boo about it because nobody gives 340 00:17:33,400 --> 00:17:36,439 Speaker 1: a damn about this league. They care about her and 341 00:17:36,520 --> 00:17:39,760 Speaker 1: instead of using her and just lifting her up and saying, 342 00:17:40,960 --> 00:17:44,560 Speaker 1: sweet mama, Caitlin, make us every single ounce of revenue 343 00:17:44,600 --> 00:17:46,720 Speaker 1: you possibly can so we can all benefit for years 344 00:17:46,760 --> 00:17:51,919 Speaker 1: to come, they have totally alienated and ostracized her. And 345 00:17:52,040 --> 00:17:54,560 Speaker 1: now that she's been hurt, it's been out of sight, 346 00:17:54,640 --> 00:17:58,800 Speaker 1: out of mine, and like, my favorite thing is they're going, well, 347 00:17:58,840 --> 00:18:00,640 Speaker 1: look at we still have more people that are viewing 348 00:18:00,680 --> 00:18:03,720 Speaker 1: in the past. Yeah, because there were nine. 349 00:18:04,400 --> 00:18:07,280 Speaker 4: Anything is improvement, right the bar the bar was pretty 350 00:18:07,320 --> 00:18:07,919 Speaker 4: low before. 351 00:18:08,080 --> 00:18:10,200 Speaker 1: You have people because they were watching of the Maru 352 00:18:10,359 --> 00:18:12,800 Speaker 1: or like, hey, this is kind of interesting, which is 353 00:18:12,840 --> 00:18:17,040 Speaker 1: the natural, Like I said, it's the natural trend of 354 00:18:17,160 --> 00:18:20,040 Speaker 1: niche sports that get incredible players. Now, usually the incredible 355 00:18:20,080 --> 00:18:23,480 Speaker 1: player drives that this has just been and I don't 356 00:18:23,520 --> 00:18:26,280 Speaker 1: mean this in a negative context, but hangers on. Right, 357 00:18:26,280 --> 00:18:28,000 Speaker 1: the people who went they saw it, Okay, this is interesting. 358 00:18:28,040 --> 00:18:30,680 Speaker 3: I'm into this. Da da da da, and that will happen. 359 00:18:30,400 --> 00:18:32,800 Speaker 1: For a while, but it's done near where it should 360 00:18:32,880 --> 00:18:37,800 Speaker 1: be because the sport itself. Just like people after Mike 361 00:18:37,840 --> 00:18:40,120 Speaker 1: Tyson went to prison weren't like, hey man, I gotta 362 00:18:40,160 --> 00:18:43,080 Speaker 1: get every fight because boxing is awesome. No, they watched 363 00:18:43,119 --> 00:18:45,600 Speaker 1: the fight because they wanted to watch Mike Tyson particially 364 00:18:45,720 --> 00:18:46,800 Speaker 1: kill some guy, right. 365 00:18:46,720 --> 00:18:48,600 Speaker 2: Because of the one athlete. You know, I look at 366 00:18:48,600 --> 00:18:49,920 Speaker 2: my husband as a great example. 367 00:18:50,080 --> 00:18:53,760 Speaker 4: He's he loves all sports and he was so into 368 00:18:53,800 --> 00:18:56,000 Speaker 4: the WNBA and it was all we. 369 00:18:56,000 --> 00:18:59,320 Speaker 2: Would hear about Kaitlin Clark. This Caitlin Clark that he 370 00:18:59,320 --> 00:19:00,880 Speaker 2: didn't even mention last night. 371 00:19:01,600 --> 00:19:03,680 Speaker 1: No, nobody was watching it. I mean like we went 372 00:19:04,240 --> 00:19:07,080 Speaker 1: Saturday for Sunday. Was there there was a Fever game 373 00:19:07,119 --> 00:19:10,639 Speaker 1: on Sunday? Because uh, my good friend Ben Verbannic, the 374 00:19:10,680 --> 00:19:13,800 Speaker 1: most beautiful man on all of Tarot Television and indie reporter. 375 00:19:14,040 --> 00:19:15,359 Speaker 2: Yeah, you've had some dinner and dancing. 376 00:19:15,480 --> 00:19:17,560 Speaker 1: Yeah, we went out and there was a home game, 377 00:19:17,920 --> 00:19:20,120 Speaker 1: right and we saw people with it on. No, it's 378 00:19:20,160 --> 00:19:22,560 Speaker 1: like it was over. Like we saw people filing out 379 00:19:22,680 --> 00:19:23,800 Speaker 1: or they were filing out when we got there. But 380 00:19:23,800 --> 00:19:26,560 Speaker 1: there was not like a throng of people or media 381 00:19:26,600 --> 00:19:29,080 Speaker 1: coverage or it's like, hey, we're shutting the city down, 382 00:19:29,160 --> 00:19:31,680 Speaker 1: or like normally that happens with some sort of big, 383 00:19:32,520 --> 00:19:35,240 Speaker 1: you know, marquee sporting event. 384 00:19:35,000 --> 00:19:36,439 Speaker 3: Where you can't even maneuver. 385 00:19:36,640 --> 00:19:36,840 Speaker 4: You know. 386 00:19:37,400 --> 00:19:39,240 Speaker 3: None of that was everything. We forgot that. It was like, 387 00:19:39,240 --> 00:19:40,359 Speaker 3: oh yeah, there was a game today. 388 00:19:40,480 --> 00:19:45,199 Speaker 4: Oh yeah, right, So the the Minnesota Lynx player, she 389 00:19:45,400 --> 00:19:48,840 Speaker 4: was saying that the commissioner said, this is from the 390 00:19:48,840 --> 00:19:51,760 Speaker 4: commissioner that the players should be on their knees thanking 391 00:19:51,800 --> 00:19:53,000 Speaker 4: me for securing. 392 00:19:52,640 --> 00:19:54,480 Speaker 2: The WNBA's media right steal. 393 00:19:54,640 --> 00:19:58,280 Speaker 4: Actually the commissioners should be on her niece, thinking Kaitlin Clark. 394 00:19:58,119 --> 00:19:59,919 Speaker 3: Well, look and they have of Kapitol. 395 00:20:00,040 --> 00:20:02,840 Speaker 1: It's to some extent in the terms of the WNBA 396 00:20:02,920 --> 00:20:05,000 Speaker 1: is a dumpster fire league. It's a charity case. It's 397 00:20:05,000 --> 00:20:07,920 Speaker 1: always been a charity case for twenty five years. It's 398 00:20:07,960 --> 00:20:12,360 Speaker 1: been political correctness that has allowed it to continue because 399 00:20:12,760 --> 00:20:15,520 Speaker 1: it never would have made it on its own without 400 00:20:15,960 --> 00:20:20,439 Speaker 1: rich Oftentimes NBA team owners just floating it out of 401 00:20:20,560 --> 00:20:23,040 Speaker 1: tax righte offs or you know whatever. They have a 402 00:20:23,119 --> 00:20:26,159 Speaker 1: level of stuff with their money. I don't understand, but 403 00:20:26,600 --> 00:20:30,200 Speaker 1: it's not been a money maker. And once you remove 404 00:20:30,200 --> 00:20:32,159 Speaker 1: her from the equation, her being Kate Lee Clark, it 405 00:20:32,200 --> 00:20:35,040 Speaker 1: won't be a money maker, and you will go back 406 00:20:35,080 --> 00:20:40,439 Speaker 1: to three hundred very hardcore fans in these arenas. And 407 00:20:40,480 --> 00:20:42,960 Speaker 1: I'm not trying to disparage the league. It's just the 408 00:20:43,080 --> 00:20:46,640 Speaker 1: history of sport that once the person and her being 409 00:20:46,680 --> 00:20:49,960 Speaker 1: injured has been a huge detriment because unlike a Tyson 410 00:20:50,320 --> 00:20:54,320 Speaker 1: or a Gretzki or a Pele or a tiger, they 411 00:20:54,400 --> 00:20:56,920 Speaker 1: had a window where they were at the tippy top 412 00:20:56,920 --> 00:20:58,560 Speaker 1: of their game and every time you turn that TV on, 413 00:20:58,640 --> 00:21:01,080 Speaker 1: there they were doing their thing. You haven't even been 414 00:21:01,119 --> 00:21:04,000 Speaker 1: able to see her for the past half a season. 415 00:21:03,760 --> 00:21:05,640 Speaker 3: Right exactly, And it gets it even more. 416 00:21:05,600 --> 00:21:06,919 Speaker 1: Out of side of it because at least if she 417 00:21:07,080 --> 00:21:09,480 Speaker 1: was playing, you'd say, hey, they lost that game five, 418 00:21:09,480 --> 00:21:11,320 Speaker 1: but hey, in a few months they're gonna be back, 419 00:21:11,320 --> 00:21:15,400 Speaker 1: and we can't. You haven't even seen her in months, 420 00:21:15,520 --> 00:21:18,679 Speaker 1: So talk about just handling something as wrong as you 421 00:21:18,720 --> 00:21:23,840 Speaker 1: possibly can. They'll write books about this over time, because wow. 422 00:21:24,200 --> 00:21:27,560 Speaker 4: You're listening to Kennell and Casey it is ninety three WYBC. 423 00:21:35,240 --> 00:21:37,040 Speaker 1: I didn't even believe you when you said you told 424 00:21:37,080 --> 00:21:39,359 Speaker 1: me this, but I have found the articles are plural 425 00:21:39,440 --> 00:21:42,919 Speaker 1: con there's many of them about what this woman says. So, 426 00:21:43,480 --> 00:21:47,680 Speaker 1: Kristen Bell is that her name? Okay, she is. She's 427 00:21:47,720 --> 00:21:49,040 Speaker 1: been in a bunch of stuff, like I would have 428 00:21:49,080 --> 00:21:51,480 Speaker 1: not known her name. Now I'm a horrible person to 429 00:21:52,080 --> 00:21:54,600 Speaker 1: ask Hollywood stuff about because I don't really watch. 430 00:21:54,440 --> 00:21:55,439 Speaker 3: Television or movies. 431 00:21:55,840 --> 00:21:58,440 Speaker 1: But I would have known her face, but I would 432 00:21:58,480 --> 00:22:00,400 Speaker 1: not have known her name. 433 00:22:00,840 --> 00:22:02,399 Speaker 3: Right, But she's been in a. 434 00:22:02,400 --> 00:22:05,800 Speaker 1: Bunch of like I mean, pretty prominent actress, right, yeah, 435 00:22:05,840 --> 00:22:07,480 Speaker 1: I mean blonde. 436 00:22:08,359 --> 00:22:11,840 Speaker 4: Let's see here. Her breakout role was as Veronica Mars. 437 00:22:12,800 --> 00:22:15,920 Speaker 4: She started in the good place. She played Princess Anna 438 00:22:16,080 --> 00:22:17,560 Speaker 4: in Frozen and Frozen two. 439 00:22:17,840 --> 00:22:20,080 Speaker 1: Forgetting Sarah Marshall, that's the one I think I would 440 00:22:20,080 --> 00:22:23,720 Speaker 1: probably know her anyway. It's this is not Angelina Joe Lee, 441 00:22:23,800 --> 00:22:26,960 Speaker 1: but she's also not you know, the Where's the Beef woman? 442 00:22:27,160 --> 00:22:27,360 Speaker 2: Right? 443 00:22:27,480 --> 00:22:29,040 Speaker 3: Okay, So she's you know. 444 00:22:28,960 --> 00:22:32,040 Speaker 1: A well known I was just thinking to the first obscure, 445 00:22:32,080 --> 00:22:33,359 Speaker 1: one hit wonder person I could think of. 446 00:22:33,400 --> 00:22:33,760 Speaker 5: Anyway. 447 00:22:33,880 --> 00:22:34,640 Speaker 2: She's you know, made a. 448 00:22:34,560 --> 00:22:37,120 Speaker 3: Good living and she's forty five years old. 449 00:22:37,240 --> 00:22:37,600 Speaker 2: Okay. 450 00:22:38,119 --> 00:22:43,200 Speaker 1: She's been married, according to this, since twenty thirteen. She's 451 00:22:43,240 --> 00:22:46,480 Speaker 1: married to a Hollywood guy. Yeah, Dax Shepherd is his name. 452 00:22:47,000 --> 00:22:50,159 Speaker 1: He was on like a bunch of those teeny movies 453 00:22:50,200 --> 00:22:51,960 Speaker 1: in the yeah two thousand. 454 00:22:51,680 --> 00:22:53,840 Speaker 5: Early to mid two thousands. He was in Without a 455 00:22:53,880 --> 00:22:55,320 Speaker 5: Paddle and Idiocracy. 456 00:22:55,560 --> 00:22:59,200 Speaker 1: Okay, so they're Hollywood people. They've been married for twelve years. 457 00:22:59,480 --> 00:23:03,200 Speaker 1: If she's forty five, casey, Now, simple math would tell us, yeah, 458 00:23:03,240 --> 00:23:06,000 Speaker 1: if she's forty five and married for twelve years, she 459 00:23:06,040 --> 00:23:08,800 Speaker 1: would have got married at thirty three years old, correct, right, Okay, 460 00:23:08,800 --> 00:23:11,359 Speaker 1: public school math. Yeah, so she didn't marry this guy 461 00:23:11,400 --> 00:23:15,600 Speaker 1: when she was eighteen. She had an essentially fifteen year 462 00:23:15,680 --> 00:23:19,800 Speaker 1: adult existence to do whatever she desired to do. 463 00:23:20,200 --> 00:23:21,880 Speaker 3: Now, I don't know if they have kids. 464 00:23:21,960 --> 00:23:23,359 Speaker 2: They do, They have two daughters. 465 00:23:23,359 --> 00:23:24,240 Speaker 3: They have two kids now. 466 00:23:24,280 --> 00:23:27,960 Speaker 4: Eleven year old and a nine year old, Lincoln and Delta. Okay, 467 00:23:28,000 --> 00:23:28,840 Speaker 4: their children's name. 468 00:23:28,960 --> 00:23:30,600 Speaker 1: So, by all accounts, she's been married to this guy 469 00:23:30,640 --> 00:23:33,000 Speaker 1: for twelve years. That's a pretty stable marriage. She has 470 00:23:33,160 --> 00:23:37,520 Speaker 1: two children with this guy from this marriage. And you 471 00:23:37,600 --> 00:23:39,680 Speaker 1: married him when you were thirty three, so you had 472 00:23:39,760 --> 00:23:43,120 Speaker 1: fifteen years of adult existence to do whatever you want 473 00:23:43,119 --> 00:23:43,400 Speaker 1: to do. 474 00:23:44,119 --> 00:23:47,119 Speaker 3: And she's asked in this interview, I don't even know. 475 00:23:47,960 --> 00:23:49,840 Speaker 1: I'm looking at this from people, but I don't know 476 00:23:49,880 --> 00:23:51,800 Speaker 1: where this originated out. 477 00:23:51,560 --> 00:23:55,119 Speaker 4: Of where the question was asked on her husband's podcast, 478 00:23:55,400 --> 00:23:57,360 Speaker 4: Armchair Expert podcast. 479 00:23:57,480 --> 00:23:58,920 Speaker 3: That's the name of this guy's podcast. 480 00:23:59,000 --> 00:24:02,000 Speaker 4: Yeah and two known for being very open about the 481 00:24:02,119 --> 00:24:04,560 Speaker 4: role I guess and working as a team. 482 00:24:04,800 --> 00:24:09,040 Speaker 1: So she basically got asked somehow about what sort of 483 00:24:09,480 --> 00:24:13,280 Speaker 1: fluzy she was in her early days before she married 484 00:24:13,320 --> 00:24:17,560 Speaker 1: this guy, and she's lamenting that she wasn't fluzy enough. 485 00:24:17,760 --> 00:24:21,560 Speaker 4: She was asked how active she was in her twenties 486 00:24:21,680 --> 00:24:24,880 Speaker 4: on a scale of zero to ten. She rated herself 487 00:24:24,920 --> 00:24:27,960 Speaker 4: as a four, but said she wished it had been 488 00:24:28,000 --> 00:24:28,480 Speaker 4: a six. 489 00:24:28,880 --> 00:24:29,080 Speaker 5: Yeah. 490 00:24:29,080 --> 00:24:31,720 Speaker 1: I mean it's like she wishes her life motto had 491 00:24:31,720 --> 00:24:33,560 Speaker 1: been no retreat, no surrender. 492 00:24:33,680 --> 00:24:36,080 Speaker 4: I mean what she said, I just wish I had 493 00:24:36,160 --> 00:24:39,040 Speaker 4: butterflied around a little bit war. 494 00:24:39,040 --> 00:24:40,520 Speaker 2: Call it butterfly arag. 495 00:24:40,640 --> 00:24:42,240 Speaker 3: I never heard that a phrase before. 496 00:24:43,000 --> 00:24:44,639 Speaker 2: That's what she wanted, and that she. 497 00:24:44,520 --> 00:24:48,879 Speaker 4: Regretted not dating more oh before she got serious with 498 00:24:48,960 --> 00:24:49,560 Speaker 4: her husband. 499 00:24:49,640 --> 00:24:52,480 Speaker 1: Now keV had the quote of the quote of the day, keV, 500 00:24:52,520 --> 00:24:56,879 Speaker 1: how did you describe what her ages fifteen, eighteen to 501 00:24:56,960 --> 00:24:59,040 Speaker 1: thirty three was likely? 502 00:24:59,560 --> 00:25:00,680 Speaker 3: How that likely went? 503 00:25:01,160 --> 00:25:04,160 Speaker 5: I feel like she probably had enough experiences. I mean, 504 00:25:04,800 --> 00:25:07,960 Speaker 5: she was in Hollywood, she had access. I mean, also, 505 00:25:08,080 --> 00:25:10,960 Speaker 5: she's probably just comparing herself to her Hollywood peers, who 506 00:25:10,960 --> 00:25:12,920 Speaker 5: probably also slept around a lot. 507 00:25:13,400 --> 00:25:16,200 Speaker 1: So Kevin is so calm about everything, and I love Kevin. 508 00:25:16,240 --> 00:25:20,000 Speaker 1: Will just add things and he's so monotoning it. And 509 00:25:20,119 --> 00:25:22,280 Speaker 1: Kevin just looks at us and goes, I feel like 510 00:25:22,320 --> 00:25:24,200 Speaker 1: she probably slept with enough people. 511 00:25:24,359 --> 00:25:25,520 Speaker 2: He probably. 512 00:25:26,720 --> 00:25:29,280 Speaker 4: Well, you have to put that her scale was a four. 513 00:25:30,000 --> 00:25:33,000 Speaker 4: It's a California four, right, a Hollywood four? But what 514 00:25:33,440 --> 00:25:34,440 Speaker 4: is that in Indiana? 515 00:25:34,480 --> 00:25:34,680 Speaker 2: Eight? 516 00:25:34,800 --> 00:25:38,520 Speaker 3: But this is exactly but this is not this is 517 00:25:38,600 --> 00:25:39,560 Speaker 3: not some okay. 518 00:25:39,560 --> 00:25:41,560 Speaker 1: First of all, how do you say that in front 519 00:25:41,560 --> 00:25:43,800 Speaker 1: of your spouse when you have children? 520 00:25:44,160 --> 00:25:44,480 Speaker 2: Right? 521 00:25:45,119 --> 00:25:47,639 Speaker 4: Like, yeah, I love you, You're good, ma, And I 522 00:25:47,720 --> 00:25:48,720 Speaker 4: wish I had more experience. 523 00:25:48,800 --> 00:25:51,200 Speaker 3: I wish I'd hooked up with more dudes, right. 524 00:25:51,160 --> 00:25:54,679 Speaker 2: What I mean? 525 00:25:54,720 --> 00:25:58,919 Speaker 1: And again, it's not like you married this guy at eighteen, 526 00:25:59,359 --> 00:26:01,080 Speaker 1: which I would look at this woman and go, oh, 527 00:26:01,119 --> 00:26:03,920 Speaker 1: I'm terribly sorry that you found a loyal, loving partner 528 00:26:03,920 --> 00:26:05,720 Speaker 1: that you have a family with, right what. 529 00:26:06,160 --> 00:26:08,560 Speaker 3: Yeah, I would definitely be lamented that in wishing. 530 00:26:08,359 --> 00:26:11,320 Speaker 1: Things like yeah, and you But again, even if you did, 531 00:26:11,440 --> 00:26:13,400 Speaker 1: even if you marry this guy eight like, you didn't 532 00:26:13,400 --> 00:26:16,440 Speaker 1: marry him at eighteen, you were thirty three. At thirty three, 533 00:26:16,560 --> 00:26:19,560 Speaker 1: I have been thirty three years old, Casey, and by 534 00:26:19,640 --> 00:26:21,600 Speaker 1: thirty three you've sort of figured. 535 00:26:21,240 --> 00:26:21,919 Speaker 2: Out, sojr. 536 00:26:21,960 --> 00:26:24,080 Speaker 3: Wild oats what you want to do in life. 537 00:26:24,240 --> 00:26:25,000 Speaker 2: Yeah, and if. 538 00:26:24,920 --> 00:26:27,920 Speaker 1: You're into saying I need to hook up with more dudes, 539 00:26:28,280 --> 00:26:30,640 Speaker 1: you would have known that by thirty three years old. 540 00:26:30,840 --> 00:26:32,960 Speaker 1: You made the choice to marry this person. You have 541 00:26:33,000 --> 00:26:35,440 Speaker 1: a family with him, and you go on a podcast, 542 00:26:35,880 --> 00:26:38,800 Speaker 1: her husband's podcast, and are like, what I wish i'd 543 00:26:38,880 --> 00:26:42,120 Speaker 1: visited more randos, Like what are we doing here? 544 00:26:43,480 --> 00:26:47,439 Speaker 4: Imagine his I mean, how does he take that? Like 545 00:26:47,840 --> 00:26:49,160 Speaker 4: that's a backhanded compliment? 546 00:26:49,280 --> 00:26:50,239 Speaker 3: Well, how did they even get on? 547 00:26:50,400 --> 00:26:52,080 Speaker 1: I would love to have heard the audio and how 548 00:26:52,119 --> 00:26:53,960 Speaker 1: they even got on the conversation? 549 00:26:54,440 --> 00:26:55,600 Speaker 3: Hey, do you feel like. 550 00:26:55,680 --> 00:27:00,800 Speaker 2: You are you bored? Like honestly, Like. 551 00:27:01,680 --> 00:27:03,760 Speaker 3: Here's what I'm really struggling with this segment, Casey. 552 00:27:04,200 --> 00:27:07,240 Speaker 1: Enough ways to describe the thing without saying something that 553 00:27:07,280 --> 00:27:09,399 Speaker 1: will get me in trouble because all the things I 554 00:27:09,440 --> 00:27:12,160 Speaker 1: want to say, I can't even I can't even say because. 555 00:27:12,080 --> 00:27:13,520 Speaker 2: That's the best part. You have to be creative. 556 00:27:13,560 --> 00:27:14,360 Speaker 4: We have bateral. 557 00:27:14,080 --> 00:27:17,000 Speaker 1: Decency standards we have to abide by. I just I 558 00:27:17,040 --> 00:27:19,719 Speaker 1: was blown away by this that somebody would say that 559 00:27:19,840 --> 00:27:20,480 Speaker 1: out loud? 560 00:27:21,040 --> 00:27:23,520 Speaker 2: And why is he asking that? 561 00:27:23,640 --> 00:27:24,920 Speaker 3: Well? Why is he asking that? 562 00:27:24,920 --> 00:27:28,040 Speaker 4: That's the other question? And okay, is that his way 563 00:27:28,080 --> 00:27:29,280 Speaker 4: of saying, Hey, I'm bored? 564 00:27:29,359 --> 00:27:29,719 Speaker 2: Are you? 565 00:27:30,240 --> 00:27:32,400 Speaker 1: This is my other question for you? And this has 566 00:27:32,440 --> 00:27:36,159 Speaker 1: to go to you because you're the pop culture entertainment person. 567 00:27:37,440 --> 00:27:40,680 Speaker 1: She's on his podcast. Is there are there enough Kristen 568 00:27:40,800 --> 00:27:42,040 Speaker 1: Bell fans who are like. 569 00:27:42,280 --> 00:27:45,080 Speaker 3: I wonder what podcast Kristin Bell's gonna be on this week? 570 00:27:45,119 --> 00:27:46,400 Speaker 2: I gotta I gotta listen to that. 571 00:27:46,600 --> 00:27:49,280 Speaker 1: Like I understand if you had, say Taylor Swift or 572 00:27:49,320 --> 00:27:53,439 Speaker 1: you had Tom Cruise or whatever. Oh, that'll be interesting. 573 00:27:53,520 --> 00:27:56,400 Speaker 1: Let's see what that. You know, the allegions of fans 574 00:27:56,520 --> 00:27:59,240 Speaker 1: right that want to hear every word the person has 575 00:27:59,280 --> 00:28:02,919 Speaker 1: to say? Are you spiking your if you're Dax Shepherd? 576 00:28:02,920 --> 00:28:05,600 Speaker 1: By the way, who's listening to the Dax Shepherd podcast? 577 00:28:05,720 --> 00:28:05,920 Speaker 5: Right? 578 00:28:06,119 --> 00:28:08,520 Speaker 3: What sort of hard hitting whatever is he doing? 579 00:28:08,560 --> 00:28:11,439 Speaker 5: Well? I've actually listened to it before. Oh yeah, Like 580 00:28:11,600 --> 00:28:13,640 Speaker 5: I think I listened to an interview. I really had 581 00:28:13,640 --> 00:28:17,159 Speaker 5: an actor that I liked more that he interviewed some 582 00:28:17,280 --> 00:28:19,480 Speaker 5: actor that I like, So this wasn't like. 583 00:28:19,400 --> 00:28:22,520 Speaker 1: You weren't you weren't craving more Dax Shepherd. 584 00:28:22,640 --> 00:28:24,920 Speaker 5: Yeah, like I have know Dax Shepherd, but I wasn't 585 00:28:24,960 --> 00:28:26,560 Speaker 5: really curious about what he had to say. 586 00:28:26,680 --> 00:28:28,520 Speaker 4: So this is did you find it to be funny, 587 00:28:28,560 --> 00:28:29,959 Speaker 4: real and deeply insightful? 588 00:28:30,400 --> 00:28:32,119 Speaker 5: I mean, I guess it was kind of funny, but 589 00:28:32,160 --> 00:28:33,400 Speaker 5: I got bored pretty quick. 590 00:28:33,280 --> 00:28:36,520 Speaker 1: Okay, because this is this is how I found your guy, Theovonne. 591 00:28:36,520 --> 00:28:39,040 Speaker 1: I didn't even know who he was, and Jesse Ventura 592 00:28:39,240 --> 00:28:43,400 Speaker 1: was on the Theovonne's podcast and it went on forever, 593 00:28:43,840 --> 00:28:46,720 Speaker 1: like he kept trying to get out of the interview 594 00:28:46,760 --> 00:28:49,400 Speaker 1: with Jesse Ventura, and Jesse Ventura would not let the 595 00:28:49,440 --> 00:28:51,320 Speaker 1: interview in, even though I think he kept alluding to 596 00:28:51,320 --> 00:28:54,880 Speaker 1: the fact that he had to go. And I saw, uh, 597 00:28:55,080 --> 00:28:58,040 Speaker 1: theovonn do an interview than years later with what the 598 00:28:58,400 --> 00:29:01,280 Speaker 1: he's a comedian who does in impressions and they were 599 00:29:01,280 --> 00:29:04,560 Speaker 1: talking about it about how Ventura would not stop the 600 00:29:04,600 --> 00:29:06,400 Speaker 1: interview and they kept insinuating. 601 00:29:06,000 --> 00:29:07,840 Speaker 3: He had to go. But anyway, I'm with you on that. 602 00:29:07,880 --> 00:29:09,520 Speaker 1: I had no idea who that guy was until I 603 00:29:09,560 --> 00:29:13,080 Speaker 1: saw somebody I was interested in on this podcast. 604 00:29:12,760 --> 00:29:13,720 Speaker 2: So Dak Shepherd. 605 00:29:13,880 --> 00:29:18,280 Speaker 4: He launched this in February of twenty eighteen, and according 606 00:29:18,280 --> 00:29:20,719 Speaker 4: to my quick research here, it is one of the 607 00:29:20,720 --> 00:29:24,800 Speaker 4: top ranked podcasts on Apple and Spotify. In twenty twenty, 608 00:29:24,840 --> 00:29:30,280 Speaker 4: they signed an exclusive distribution deal with Spotify. And he's 609 00:29:30,320 --> 00:29:33,440 Speaker 4: had he's don't some big names. I mean, you can 610 00:29:33,480 --> 00:29:35,840 Speaker 4: tell which way the show leans. But he's got a 611 00:29:35,880 --> 00:29:38,600 Speaker 4: mix of celebrity scientists and authors and experts. Some of 612 00:29:38,640 --> 00:29:40,760 Speaker 4: his guests have included Barack Obama. 613 00:29:41,000 --> 00:29:44,240 Speaker 3: Huh, which one? Okay? Wait, what was this? Scientists? 614 00:29:44,280 --> 00:29:47,280 Speaker 2: What celebrity scientist? Authors and expert? 615 00:29:47,320 --> 00:29:49,280 Speaker 1: Okay, so I guess Obama. Well, someone wrote a book 616 00:29:49,320 --> 00:29:50,840 Speaker 1: for Obama and put his name on it, So I 617 00:29:50,840 --> 00:29:53,640 Speaker 1: guess Obama checks the author box. He's also a celebrity okay, 618 00:29:53,640 --> 00:29:57,360 Speaker 1: Bill Gates, Okay, he's a is he an author? 619 00:29:57,840 --> 00:29:57,959 Speaker 4: Hi? 620 00:29:58,360 --> 00:29:59,680 Speaker 2: Celebrity celebrity? 621 00:30:00,000 --> 00:30:01,360 Speaker 3: He's not a sign an expert? 622 00:30:01,600 --> 00:30:01,800 Speaker 1: Right? 623 00:30:02,000 --> 00:30:03,400 Speaker 3: An expert at windows? 624 00:30:04,000 --> 00:30:05,520 Speaker 2: Maybe at business? 625 00:30:05,960 --> 00:30:06,160 Speaker 1: Yeah? 626 00:30:06,400 --> 00:30:07,800 Speaker 2: Okay, all right, at vaccines? 627 00:30:07,960 --> 00:30:12,640 Speaker 4: Uh? Huh? Prince Harry, which one is he? He would 628 00:30:12,640 --> 00:30:16,240 Speaker 4: be a celebrity. Oh, he's a celebrity of Matthew McConaughey. Okay, 629 00:30:16,360 --> 00:30:18,560 Speaker 4: and then his wife is also on the list, so 630 00:30:18,600 --> 00:30:21,240 Speaker 4: she would be in the celebrity category as well. 631 00:30:21,280 --> 00:30:24,520 Speaker 3: So they just so they just talk to people. 632 00:30:24,640 --> 00:30:28,680 Speaker 4: This show focuses on honest, vulnerable conversations with a wide 633 00:30:28,760 --> 00:30:33,480 Speaker 4: range of guests. Topics include personal growth, fame and creativity, 634 00:30:33,840 --> 00:30:37,440 Speaker 4: addiction and mental health, success, failure, and relationships. 635 00:30:37,480 --> 00:30:40,760 Speaker 1: Shell was famous person you ever interviewed the most? Like 636 00:30:40,800 --> 00:30:42,920 Speaker 1: who would you say? Not that you liked the best, 637 00:30:42,920 --> 00:30:44,720 Speaker 1: but who is Like if I were to say, this 638 00:30:44,880 --> 00:30:48,640 Speaker 1: is the most well known person that I interviewed, it. 639 00:30:48,600 --> 00:30:52,240 Speaker 2: Would probably globally well known. Probably Muhammad Ali. 640 00:30:52,760 --> 00:30:55,080 Speaker 3: Yeah, oh yeah, definitely, that's a big one. 641 00:30:55,160 --> 00:30:56,760 Speaker 2: Yeah, I mean I would think he was up there. 642 00:30:56,840 --> 00:30:59,480 Speaker 3: Yeah, Now did you find with Muhammad Ali? 643 00:30:59,720 --> 00:31:02,920 Speaker 1: Because I remember this years ago, I think it was 644 00:31:03,000 --> 00:31:05,880 Speaker 1: sixty minutes, and I think it was Ed Bradley who 645 00:31:05,960 --> 00:31:08,800 Speaker 1: did some sort of thing with him, and Ali would 646 00:31:08,800 --> 00:31:11,440 Speaker 1: play games with people because he wasn't as bad off 647 00:31:11,960 --> 00:31:15,080 Speaker 1: as people thought, and he would like play games making 648 00:31:15,120 --> 00:31:16,719 Speaker 1: you think like at one point he was faking like 649 00:31:16,720 --> 00:31:19,600 Speaker 1: he was falling asleep, and Bradley's taken the I think 650 00:31:19,600 --> 00:31:21,480 Speaker 1: Bradley was the interviewer was taking the bait, like is 651 00:31:21,480 --> 00:31:23,240 Speaker 1: he having some sort of issue and it was his 652 00:31:23,320 --> 00:31:25,560 Speaker 1: daughter or somebody was there and they just start chuckling 653 00:31:25,640 --> 00:31:28,440 Speaker 1: having fun because he's he's like rope this guy. 654 00:31:28,680 --> 00:31:30,840 Speaker 4: I did pick up on a little twinkle with him 655 00:31:30,840 --> 00:31:33,320 Speaker 4: because I know at one point during the interview he 656 00:31:33,480 --> 00:31:37,920 Speaker 4: was trash talking Jim, my husband, and he looked at 657 00:31:37,960 --> 00:31:41,040 Speaker 4: me and he said, you could do better than him, And. 658 00:31:41,440 --> 00:31:42,360 Speaker 3: So did Jim go with you? 659 00:31:42,440 --> 00:31:45,040 Speaker 1: Because it was Muhammad Ali, like your interview Mhammad Ali. 660 00:31:45,120 --> 00:31:46,000 Speaker 3: Oh, I'm going to this. 661 00:31:46,280 --> 00:31:50,120 Speaker 4: Yeah. Well do you remember his movie Ali that came out? Yes, 662 00:31:50,160 --> 00:31:53,080 Speaker 4: Will Smith, Yeah, it was a movie premiere Foh, and 663 00:31:53,160 --> 00:31:56,040 Speaker 4: Muhammad Ali was at the event. We were raising money for charity. 664 00:31:56,120 --> 00:31:56,800 Speaker 3: I gotcha. 665 00:31:57,520 --> 00:31:59,760 Speaker 2: We sold the movie tickets at a very high price. 666 00:32:00,320 --> 00:32:01,560 Speaker 2: All the money went to charity. 667 00:32:01,760 --> 00:32:03,560 Speaker 4: Muhammad Ali was there at the event, so I was 668 00:32:03,600 --> 00:32:05,720 Speaker 4: interviewing him before the movie started. 669 00:32:05,920 --> 00:32:09,040 Speaker 1: Ask him, would you ask Muhammad Ali? Don't you ask 670 00:32:09,080 --> 00:32:09,800 Speaker 1: him anything good? 671 00:32:10,040 --> 00:32:11,320 Speaker 2: I don't even remember that. 672 00:32:11,400 --> 00:32:14,480 Speaker 4: I think mostly about the movie, like because he had 673 00:32:14,520 --> 00:32:16,680 Speaker 4: seen it, you know, is it true? Is it really 674 00:32:16,720 --> 00:32:19,760 Speaker 4: about you're excited about this event and things of that nature. 675 00:32:19,800 --> 00:32:21,360 Speaker 1: He didn't like, dude, didn't you like? Turning to Chris 676 00:32:21,360 --> 00:32:24,040 Speaker 1: Farley on Saturday Ight Live. Remember that time you rumbled 677 00:32:24,080 --> 00:32:24,800 Speaker 1: in the jungle? 678 00:32:25,000 --> 00:32:25,680 Speaker 2: He did that thing? 679 00:32:25,920 --> 00:32:27,560 Speaker 3: Is that true? Was the actual rumble? 680 00:32:27,680 --> 00:32:27,880 Speaker 2: Yeah? 681 00:32:27,920 --> 00:32:28,080 Speaker 4: Wait? 682 00:32:28,280 --> 00:32:30,320 Speaker 2: And he looked at me and he said that you 683 00:32:30,320 --> 00:32:31,440 Speaker 2: could do better than him. 684 00:32:31,560 --> 00:32:34,280 Speaker 4: And he was pointing to Jim, and I looked at Jim, 685 00:32:34,320 --> 00:32:35,520 Speaker 4: and Jim said, well, what am I gonna do? 686 00:32:35,640 --> 00:32:38,240 Speaker 2: Trash talk? Muhammad Ali? No, I mean, I'm I'm not 687 00:32:38,280 --> 00:32:39,120 Speaker 2: gonna argue with the guy. 688 00:32:39,200 --> 00:32:40,840 Speaker 1: He should have looked at him said all right, old man, 689 00:32:40,880 --> 00:32:42,520 Speaker 1: you want to go, You want to go right now? 690 00:32:42,600 --> 00:32:44,920 Speaker 4: Yeah, because it was later in his life when he 691 00:32:45,000 --> 00:32:48,720 Speaker 4: was already showing signs of Parkinson. So, but you could 692 00:32:48,800 --> 00:32:52,680 Speaker 4: tell he had that little mischievous twinkle like he wasn't 693 00:32:52,920 --> 00:32:57,280 Speaker 4: able to fight anymore, but he still had the mentality 694 00:32:57,560 --> 00:32:59,960 Speaker 4: like he wanted to he want to disturb things. 695 00:33:00,400 --> 00:33:03,520 Speaker 3: Yeah, we should start a podcast. Should we just interview people? 696 00:33:03,720 --> 00:33:08,600 Speaker 2: Yeah? What are we gonna have? Celebrity scientist, authors and experts? 697 00:33:08,680 --> 00:33:08,920 Speaker 3: Yeah? 698 00:33:08,960 --> 00:33:10,840 Speaker 1: I think we should get Kevin on that we're going 699 00:33:10,920 --> 00:33:13,280 Speaker 1: to start that podcast and we'll just interview those people. 700 00:33:13,400 --> 00:33:15,680 Speaker 2: Okay, I like this idea. 701 00:33:17,760 --> 00:33:20,160 Speaker 1: This is ridiculous though, right, that you would say that 702 00:33:20,280 --> 00:33:24,400 Speaker 1: out loud when you're a wife and a mother, and 703 00:33:24,440 --> 00:33:27,760 Speaker 1: you've been married for thirteen years or twelve years or whatever, 704 00:33:28,320 --> 00:33:30,520 Speaker 1: and you would say that in front of your husband. 705 00:33:30,560 --> 00:33:34,280 Speaker 1: That is ridiculous for Kristen Bell to say, basically she 706 00:33:34,320 --> 00:33:35,800 Speaker 1: wished she'd hooked up with more dudes. 707 00:33:36,480 --> 00:33:38,760 Speaker 4: Do you eman to ask you how active were you 708 00:33:38,800 --> 00:33:41,240 Speaker 4: in your twenties on a scale of zero to ten. 709 00:33:44,040 --> 00:33:45,840 Speaker 2: You gotta be honest. You gotta be honest. 710 00:33:45,880 --> 00:33:49,040 Speaker 1: If we're doing a podcast, you know, case Casey to 711 00:33:49,160 --> 00:33:53,400 Speaker 1: quote the great philosopher and rock poet Michael Stanley, all 712 00:33:53,480 --> 00:33:55,560 Speaker 1: you get to keep here the memories. You got to 713 00:33:55,560 --> 00:33:56,240 Speaker 1: make the good ones. 714 00:33:56,320 --> 00:33:59,600 Speaker 2: Last. I'm Duel's going to join us next Sysney. 715 00:34:00,080 --> 00:34:02,560 Speaker 1: We're gonna we're gonna talk about this interesting article by 716 00:34:02,600 --> 00:34:05,000 Speaker 1: James Briggs, column by James Briggs and The Indie Star 717 00:34:05,200 --> 00:34:07,760 Speaker 1: about how bad the property tax bill actually is. 718 00:34:08,000 --> 00:34:08,840 Speaker 3: Five six months on. 719 00:34:09,280 --> 00:34:12,640 Speaker 4: You're listening to Kendall and Casey. It's ninety three w IBC. 720 00:34:25,120 --> 00:34:28,640 Speaker 5: All right, need to be in a program too. 721 00:34:30,280 --> 00:34:32,680 Speaker 3: All right, We're gonna. 722 00:34:32,480 --> 00:34:36,479 Speaker 1: Connect with a Duel tomorrow, okay, and we'll talk about 723 00:34:36,480 --> 00:34:38,960 Speaker 1: that property tax article that James Briggs had which I 724 00:34:38,960 --> 00:34:42,000 Speaker 1: thought was super interesting and Abdul has some interesting thoughts 725 00:34:42,040 --> 00:34:42,680 Speaker 1: on it as well. 726 00:34:43,360 --> 00:34:43,799 Speaker 3: It's KENNL. 727 00:34:43,840 --> 00:34:47,400 Speaker 1: Casey Show. I'm Rob That's Casey. Okay, so let me 728 00:34:47,480 --> 00:34:48,200 Speaker 1: check really quick. 729 00:34:49,080 --> 00:34:51,680 Speaker 2: Yeah, the government is still shut down, okay, and you. 730 00:34:51,640 --> 00:34:55,800 Speaker 1: Have now look it has been eleven hours and fifty 731 00:34:55,840 --> 00:35:00,400 Speaker 1: minutes since the government closed its doors hopefully forever. 732 00:35:01,440 --> 00:35:04,799 Speaker 3: But has your life in any way? I mean, are there? 733 00:35:04,800 --> 00:35:05,360 Speaker 3: Were you? 734 00:35:05,360 --> 00:35:08,560 Speaker 1: You were able to get to work this morning? I 735 00:35:08,640 --> 00:35:12,879 Speaker 1: did see a bevy of law enforcement officers in their 736 00:35:13,040 --> 00:35:14,080 Speaker 1: various places. 737 00:35:14,080 --> 00:35:15,080 Speaker 3: I saw firemen in the. 738 00:35:15,000 --> 00:35:18,120 Speaker 4: Fire Construction was still happening on Washington on my way 739 00:35:18,160 --> 00:35:21,239 Speaker 4: in today, So that's what are they doing? Oh my, 740 00:35:21,560 --> 00:35:24,759 Speaker 4: you know, it's so funny. I talked to my daughter 741 00:35:24,840 --> 00:35:27,440 Speaker 4: last night. We had a really long, nice phone call, 742 00:35:27,480 --> 00:35:28,440 Speaker 4: which was great. 743 00:35:28,719 --> 00:35:30,080 Speaker 3: Do you like talking on the phone? 744 00:35:30,480 --> 00:35:33,920 Speaker 4: Well, I talking on the phone, you know, I know 745 00:35:34,000 --> 00:35:36,360 Speaker 4: you do. You preferred to text. It was nice to 746 00:35:36,360 --> 00:35:38,280 Speaker 4: talk to her. We hadn't talked in a few days, 747 00:35:38,280 --> 00:35:39,279 Speaker 4: so it was up to get you. 748 00:35:39,239 --> 00:35:39,759 Speaker 3: Out of the phone. 749 00:35:39,760 --> 00:35:40,960 Speaker 1: As soon as I get on the phone, I want 750 00:35:40,960 --> 00:35:43,120 Speaker 1: to get off the phone because it's just weird that 751 00:35:43,160 --> 00:35:44,720 Speaker 1: I can't see the other person. 752 00:35:45,440 --> 00:35:47,360 Speaker 4: Well, we were just talking about you know, I was 753 00:35:47,400 --> 00:35:49,720 Speaker 4: asking her how are things in the neighborhood where she lives. 754 00:35:49,760 --> 00:35:52,359 Speaker 4: And she was just telling me, oh, you know, everything's fine, good, 755 00:35:52,440 --> 00:35:53,719 Speaker 4: and you're feeling safe. 756 00:35:53,520 --> 00:35:55,279 Speaker 2: Keep your head on the swivel, that sort of thing. 757 00:35:55,800 --> 00:35:58,839 Speaker 4: And she mentioned that there was construction in front of 758 00:35:58,880 --> 00:36:01,640 Speaker 4: her apartment and it was making things difficult to find 759 00:36:01,640 --> 00:36:02,279 Speaker 4: a parking spot. 760 00:36:02,320 --> 00:36:04,280 Speaker 2: And I said, yeah, I understand. 761 00:36:04,280 --> 00:36:06,680 Speaker 4: There's been so much construction on Washington on my way 762 00:36:06,680 --> 00:36:09,640 Speaker 4: into work every day. They finally finished a section, but 763 00:36:09,719 --> 00:36:12,840 Speaker 4: now there's lane restrictions. And she said, are you talking 764 00:36:12,880 --> 00:36:18,279 Speaker 4: about that bridge? She said, oh, honey, no, that's that's 765 00:36:18,320 --> 00:36:20,759 Speaker 4: still going. That's like a three year process. 766 00:36:21,600 --> 00:36:26,080 Speaker 1: That because now you can get and get out when 767 00:36:26,080 --> 00:36:28,840 Speaker 1: I go home, I can go down Washington to some 768 00:36:29,000 --> 00:36:35,360 Speaker 1: extent now, but I just like, I drive that stretch 769 00:36:35,680 --> 00:36:38,280 Speaker 1: and I do this with many stretches in the city, 770 00:36:38,800 --> 00:36:42,120 Speaker 1: and I just asked myself, the hell's going on? Like 771 00:36:42,280 --> 00:36:44,279 Speaker 1: what is even happening here? Like usually I could see 772 00:36:44,280 --> 00:36:46,040 Speaker 1: a construction project. I mean, it was around enough of 773 00:36:46,080 --> 00:36:47,759 Speaker 1: them as an elected person, and I know what a 774 00:36:47,760 --> 00:36:49,000 Speaker 1: spot them and I know what's going on. I know 775 00:36:49,000 --> 00:36:51,160 Speaker 1: when it's a resurfacing or I you know, we're doing 776 00:36:51,160 --> 00:36:54,080 Speaker 1: a water line or sewer, you know whatever. I understand 777 00:36:54,120 --> 00:36:57,280 Speaker 1: all that. I have looked at this project on Washington 778 00:36:58,160 --> 00:37:00,640 Speaker 1: and I'm like, how does what are the even doing? 779 00:37:00,680 --> 00:37:03,600 Speaker 1: How is it benefiting anyone? It just seems like random 780 00:37:03,719 --> 00:37:06,759 Speaker 1: holes in the ground. The road's been closed for what 781 00:37:06,840 --> 00:37:08,360 Speaker 1: two years at least now. 782 00:37:08,280 --> 00:37:11,480 Speaker 4: Yeah, in parts of it for sure, especially that Have 783 00:37:11,560 --> 00:37:15,040 Speaker 4: you had to drive over those big metal plates that 784 00:37:15,120 --> 00:37:15,760 Speaker 4: they put. 785 00:37:15,560 --> 00:37:18,600 Speaker 3: Down, Yeah, weave around him, do you sometimes? 786 00:37:18,640 --> 00:37:20,480 Speaker 2: In no oncoming t I'm afraid that one of them 787 00:37:20,560 --> 00:37:21,920 Speaker 2: is gonna blow my toe? Oh yeah, yeah. 788 00:37:21,920 --> 00:37:23,000 Speaker 3: I would never drive over those. 789 00:37:23,080 --> 00:37:23,279 Speaker 2: Yeah. 790 00:37:23,280 --> 00:37:25,040 Speaker 3: I would just stop until somebody. 791 00:37:24,760 --> 00:37:26,640 Speaker 2: Passes and then go switch lanes. 792 00:37:26,719 --> 00:37:28,000 Speaker 3: Well, I think that's the other. 793 00:37:27,880 --> 00:37:30,759 Speaker 1: Thing that is such a It's one of numerous concerns. 794 00:37:31,440 --> 00:37:32,759 Speaker 3: By the way, I did want to tell you I 795 00:37:32,760 --> 00:37:34,239 Speaker 3: had to get that battery the other day. 796 00:37:34,400 --> 00:37:36,839 Speaker 1: You're always lamenting my car, and I'm sure it'll break 797 00:37:36,840 --> 00:37:37,560 Speaker 1: down on the way home. 798 00:37:37,840 --> 00:37:40,200 Speaker 4: But Norm, the car that you have to put oil 799 00:37:40,239 --> 00:37:43,040 Speaker 4: in once a week, that's right, Uh huh okay, But Norm, 800 00:37:43,560 --> 00:37:46,360 Speaker 4: who changed my battery? Who is a big kennel and 801 00:37:46,400 --> 00:37:49,399 Speaker 4: Casey fan? Yeah, get there, you know, get the car, 802 00:37:49,520 --> 00:37:50,120 Speaker 4: you loosen up. 803 00:37:50,160 --> 00:37:52,080 Speaker 2: You have some suggestions on a new vehicle for you. 804 00:37:52,280 --> 00:37:54,000 Speaker 3: Well, I'll get to that in a second. But he 805 00:37:54,080 --> 00:37:55,560 Speaker 3: pulls the thing up. Do you get this? Or he 806 00:37:55,560 --> 00:37:56,239 Speaker 3: pulls the thing up and. 807 00:37:56,239 --> 00:38:00,560 Speaker 1: He goes radio guy maybe yeah, yeah, a big viand 808 00:38:00,560 --> 00:38:02,160 Speaker 1: of your show. Why yes, I am the radio guy. 809 00:38:02,480 --> 00:38:04,520 Speaker 1: But Norm, he did a phenomen job changing my battery. 810 00:38:04,600 --> 00:38:07,080 Speaker 3: He told me that car looked fine on the inside. 811 00:38:07,080 --> 00:38:09,279 Speaker 1: And Norm was a truck driver for years, He's been 812 00:38:09,280 --> 00:38:11,920 Speaker 1: an auto zoned for ten years. I say, I norms 813 00:38:11,960 --> 00:38:13,640 Speaker 1: in on it, and I told him about the oil, 814 00:38:13,640 --> 00:38:14,439 Speaker 1: and he goes out, I'll be fine. 815 00:38:14,440 --> 00:38:15,600 Speaker 3: Just keep putting the oil in it. 816 00:38:15,600 --> 00:38:18,200 Speaker 2: It'll be fine. Yeah. Well what does he mean by fine? 817 00:38:18,239 --> 00:38:21,440 Speaker 2: It looked fine? Like is clean? I don't know, or 818 00:38:21,719 --> 00:38:22,959 Speaker 2: it's not going to catch on fire. 819 00:38:23,160 --> 00:38:23,600 Speaker 1: I don't know. 820 00:38:23,680 --> 00:38:25,479 Speaker 2: I mean I'm a scale of zero to ten. 821 00:38:25,800 --> 00:38:28,200 Speaker 3: Well, it's the car is not great. 822 00:38:28,840 --> 00:38:31,239 Speaker 1: But my point is if all I got to do 823 00:38:31,320 --> 00:38:33,879 Speaker 1: is put oil in it once a week, that's way 824 00:38:33,960 --> 00:38:35,360 Speaker 1: cheaper than having a car payment. 825 00:38:36,440 --> 00:38:40,200 Speaker 2: Yeah that's true, but I mean I feel safe. 826 00:38:40,360 --> 00:38:42,320 Speaker 3: I lived such a minimalist life, Casey. 827 00:38:42,400 --> 00:38:44,520 Speaker 1: Look, I taught myself at a very young age I 828 00:38:44,560 --> 00:38:47,279 Speaker 1: don't deserve nice things and once you've taught yourself you 829 00:38:47,280 --> 00:38:48,279 Speaker 1: don't deserve nice things. 830 00:38:48,280 --> 00:38:50,400 Speaker 4: The expectation is never have a desire to have that 831 00:38:50,520 --> 00:38:52,400 Speaker 4: You're okay, did I tell you? I went into the 832 00:38:52,440 --> 00:38:54,759 Speaker 4: gas station the other day and somebody I walked in 833 00:38:54,800 --> 00:38:58,680 Speaker 4: and somebody said Casey and I looked up and I yeah, 834 00:38:58,760 --> 00:38:59,560 Speaker 4: and he said. 835 00:38:59,480 --> 00:39:01,560 Speaker 2: Hi, big fan of the show. Tell Rob. 836 00:39:01,600 --> 00:39:04,680 Speaker 4: I said hi, And then he said, I know I 837 00:39:04,719 --> 00:39:06,399 Speaker 4: only have like thirty seconds with you. 838 00:39:08,200 --> 00:39:11,319 Speaker 2: Because of what you always say. And I mean, he 839 00:39:11,400 --> 00:39:13,600 Speaker 2: was really nice. It's so weird. And then I asked him, 840 00:39:13,640 --> 00:39:15,279 Speaker 2: I said, how did you know it was me? And 841 00:39:15,320 --> 00:39:17,240 Speaker 2: he said he recognized me from the YouTube? 842 00:39:17,320 --> 00:39:18,560 Speaker 3: Oh have you found this? 843 00:39:18,600 --> 00:39:20,680 Speaker 1: It's so weird when people will like talk to you 844 00:39:20,719 --> 00:39:23,439 Speaker 1: about things you've just talked about on the show, which 845 00:39:23,520 --> 00:39:26,439 Speaker 1: meant they were listening or a day ago or whatever. Yeah, 846 00:39:26,640 --> 00:39:29,160 Speaker 1: I just assume no one's listening. It's just me and 847 00:39:29,239 --> 00:39:31,080 Speaker 1: you and Kevin. Yeah, I mean, it's just the three 848 00:39:31,120 --> 00:39:33,360 Speaker 1: of us in here. I just I totally forget that 849 00:39:33,400 --> 00:39:34,680 Speaker 1: there are people actually listening. 850 00:39:35,239 --> 00:39:37,200 Speaker 2: It's like, oh, well, nobody's listening at the state House. 851 00:39:37,239 --> 00:39:38,720 Speaker 1: Oh, but you know, it's always like what for sverybody 852 00:39:38,760 --> 00:39:40,400 Speaker 1: asked him the radio game, like, did I to fame 853 00:39:40,440 --> 00:39:42,719 Speaker 1: one of your one of your relatives? 854 00:39:43,120 --> 00:39:48,160 Speaker 4: What did I say? You're doing the quick recall? Yeah, 855 00:39:48,200 --> 00:39:49,440 Speaker 4: all right, it's time for us to go. 856 00:39:49,640 --> 00:39:50,640 Speaker 3: Is it really time to go? 857 00:39:50,800 --> 00:39:51,440 Speaker 2: It is time for you. 858 00:39:51,440 --> 00:39:53,080 Speaker 3: Don't even start the music here, Kevin. 859 00:39:52,880 --> 00:39:54,359 Speaker 2: Start the music. It's time for us. 860 00:39:54,360 --> 00:39:55,840 Speaker 3: You just want to go? Are like? 861 00:39:55,880 --> 00:39:58,239 Speaker 1: Are you desperate to be done? Are you having that 862 00:39:58,239 --> 00:40:00,359 Speaker 1: little fun to just did? 863 00:40:00,360 --> 00:40:00,960 Speaker 3: Three more hours? 864 00:40:01,080 --> 00:40:02,560 Speaker 2: I have to go to the bath meeting after this. 865 00:40:02,840 --> 00:40:04,200 Speaker 2: I still have to go to the bathroom. 866 00:40:04,280 --> 00:40:06,000 Speaker 3: Okay, yeah, abduea. We'll join us tomorrow. 867 00:40:06,000 --> 00:40:08,800 Speaker 4: All right, Thanks Rob, Thanks Kevin, thank you for listening today. 868 00:40:08,840 --> 00:40:12,279 Speaker 4: It's been Kendall and Casey. It's ninety three w ib C. 869 00:40:13,120 --> 00:40:21,600 Speaker 2: It stops raining. 870 00:40:26,120 --> 00:40:26,319 Speaker 4: Help